(function () {
    const e = document.createElement('link').relList;
    if (e && e.supports && e.supports('modulepreload')) return;
    for (const u of document.querySelectorAll('link[rel="modulepreload"]')) i(u);
    new MutationObserver((u) => {
        for (const n of u)
            if (n.type === 'childList')
                for (const s of n.addedNodes) s.tagName === 'LINK' && s.rel === 'modulepreload' && i(s);
    }).observe(document, { childList: !0, subtree: !0 });
    function o(u) {
        const n = {};
        return (
            u.integrity && (n.integrity = u.integrity),
            u.referrerPolicy && (n.referrerPolicy = u.referrerPolicy),
            u.crossOrigin === 'use-credentials'
                ? (n.credentials = 'include')
                : u.crossOrigin === 'anonymous'
                ? (n.credentials = 'omit')
                : (n.credentials = 'same-origin'),
            n
        );
    }
    function i(u) {
        if (u.ep) return;
        u.ep = !0;
        const n = o(u);
        fetch(u.href, n);
    }
})();
function dispatchCallback(t, e) {
    t && t(e);
}
function reverseDictionary(t) {
    return Object.fromEntries(Object.entries(t).map(([e, o]) => [o, e]));
}
const Callable = class {
    constructor() {
        let t = function (...e) {
            return t._call(...e);
        };
        return Object.setPrototypeOf(t, new.target.prototype);
    }
    _call(...t) {
        throw Error('Must implement _call method in subclass');
    }
};
function isTypedArray(t) {
    return t?.prototype?.__proto__?.constructor?.name === 'TypedArray';
}
function isIntegralNumber(t) {
    return Number.isInteger(t) || typeof t == 'bigint';
}
function exists(t) {
    return t != null;
}
function calculateDimensions(t) {
    const e = [];
    let o = t;
    for (; Array.isArray(o); ) e.push(o.length), (o = o[0]);
    return e;
}
function mergeArrays(...t) {
    return Array.prototype.concat.apply([], t);
}
function calculateReflectOffset(t, e) {
    return Math.abs(((t + e) % (2 * e)) - e);
}
const sharp = {},
    ONNX_NODE = Object.freeze(
        Object.defineProperty({ __proto__: null, default: sharp }, Symbol.toStringTag, { value: 'Module' })
    ),
    VERSION = '3.0.0-alpha.0',
    BROWSER_ENV$1 = typeof self < 'u',
    WEB_CACHE_AVAILABLE = BROWSER_ENV$1 && 'caches' in self,
    FS_AVAILABLE = !isEmpty(sharp),
    PATH_AVAILABLE = !isEmpty(sharp),
    RUNNING_LOCALLY = FS_AVAILABLE && PATH_AVAILABLE,
    __dirname$1 = RUNNING_LOCALLY ? sharp.dirname(sharp.dirname(sharp.fileURLToPath(import.meta.url))) : './',
    DEFAULT_CACHE_DIR = RUNNING_LOCALLY ? sharp.join(__dirname$1, '/.cache/') : null,
    DEFAULT_LOCAL_MODEL_PATH = '/models/',
    localModelPath = RUNNING_LOCALLY ? sharp.join(__dirname$1, DEFAULT_LOCAL_MODEL_PATH) : DEFAULT_LOCAL_MODEL_PATH,
    env = {
        backends: { onnx: {}, tfjs: {} },
        experimental: { useWebGPU: !1 },
        __dirname: __dirname$1,
        version: VERSION,
        allowRemoteModels: !0,
        remoteHost: 'https://huggingface.co/',
        remotePathTemplate: '{model}/resolve/{revision}/',
        allowLocalModels: !BROWSER_ENV$1,
        localModelPath,
        useFS: FS_AVAILABLE,
        useBrowserCache: WEB_CACHE_AVAILABLE,
        useFSCache: FS_AVAILABLE,
        cacheDir: DEFAULT_CACHE_DIR,
        useCustomCache: !1,
        customCache: null,
    };
function isEmpty(t) {
    return Object.keys(t).length === 0;
}
var define_process_env_default = {};
class FileResponse {
    _CONTENT_TYPE_MAP = {
        txt: 'text/plain',
        html: 'text/html',
        css: 'text/css',
        js: 'text/javascript',
        json: 'application/json',
        png: 'image/png',
        jpg: 'image/jpeg',
        jpeg: 'image/jpeg',
        gif: 'image/gif',
    };
    constructor(e) {
        if (((this.filePath = e), (this.headers = new Headers()), (this.exists = sharp.existsSync(e)), this.exists)) {
            (this.status = 200), (this.statusText = 'OK');
            let o = sharp.statSync(e);
            this.headers.set('content-length', o.size.toString()), this.updateContentType();
            let i = this;
            this.body = new ReadableStream({
                start(u) {
                    i.arrayBuffer().then((n) => {
                        u.enqueue(new Uint8Array(n)), u.close();
                    });
                },
            });
        } else (this.status = 404), (this.statusText = 'Not Found'), (this.body = null);
    }
    updateContentType() {
        const e = this.filePath.toString().split('.').pop().toLowerCase();
        this.headers.set('content-type', this._CONTENT_TYPE_MAP[e] ?? 'application/octet-stream');
    }
    clone() {
        let e = new FileResponse(this.filePath);
        return (
            (e.exists = this.exists),
            (e.status = this.status),
            (e.statusText = this.statusText),
            (e.headers = new Headers(this.headers)),
            e
        );
    }
    async arrayBuffer() {
        return (await sharp.promises.readFile(this.filePath)).buffer;
    }
    async blob() {
        const e = await sharp.promises.readFile(this.filePath);
        return new Blob([e], { type: this.headers.get('content-type') });
    }
    async text() {
        return await sharp.promises.readFile(this.filePath, 'utf8');
    }
    async json() {
        return JSON.parse(await this.text());
    }
}
function isValidHttpUrl(t, e = null) {
    let o;
    try {
        o = new URL(t);
    } catch {
        return !1;
    }
    return e && !e.includes(o.hostname) ? !1 : o.protocol === 'http:' || o.protocol === 'https:';
}
async function getFile(t) {
    if (env.useFS && !isValidHttpUrl(t)) return new FileResponse(t);
    if (typeof process < 'u' && process?.release?.name === 'node') {
        const e = !!define_process_env_default?.TESTING_REMOTELY,
            o = env.version,
            i = new Headers();
        if (
            (i.set('User-Agent', `transformers.js/${o}; is_ci/${e};`), isValidHttpUrl(t, ['huggingface.co', 'hf.co']))
        ) {
            const n = define_process_env_default?.HF_TOKEN ?? define_process_env_default?.HF_ACCESS_TOKEN;
            n && i.set('Authorization', `Bearer ${n}`);
        }
        return fetch(t, { headers: i });
    } else return fetch(t);
}
const ERROR_MAPPING = {
    400: 'Bad request error occurred while trying to load file',
    401: 'Unauthorized access to file',
    403: 'Forbidden access to file',
    404: 'Could not locate file',
    408: 'Request timeout error occurred while trying to load file',
    500: 'Internal server error error occurred while trying to load file',
    502: 'Bad gateway error occurred while trying to load file',
    503: 'Service unavailable error occurred while trying to load file',
    504: 'Gateway timeout error occurred while trying to load file',
};
function handleError(t, e, o) {
    if (!o) return null;
    const i = ERROR_MAPPING[t] ?? `Error (${t}) occurred while trying to load file`;
    throw Error(`${i}: "${e}".`);
}
class FileCache {
    constructor(e) {
        this.path = e;
    }
    async match(e) {
        let o = sharp.join(this.path, e),
            i = new FileResponse(o);
        if (i.exists) return i;
    }
    async put(e, o) {
        const i = Buffer.from(await o.arrayBuffer());
        let u = sharp.join(this.path, e);
        try {
            await sharp.promises.mkdir(sharp.dirname(u), { recursive: !0 }), await sharp.promises.writeFile(u, i);
        } catch (n) {
            console.warn('An error occurred while writing the file to cache:', n);
        }
    }
}
async function tryCache(t, ...e) {
    for (let o of e)
        try {
            let i = await t.match(o);
            if (i) return i;
        } catch {
            continue;
        }
}
async function getModelFile(t, e, o = !0, i = {}) {
    if (!env.allowLocalModels && i.local_files_only)
        throw Error(
            'Invalid configuration detected: local models are disabled (`env.allowLocalModels=false`) but you have requested to only use local models (`local_files_only=true`).'
        );
    dispatchCallback(i.progress_callback, { status: 'initiate', name: t, file: e });
    let u;
    if (!u && env.useBrowserCache) {
        if (typeof caches > 'u') throw Error('Browser cache is not available in this environment.');
        try {
            u = await caches.open('transformers-cache');
        } catch (S) {
            console.warn('An error occurred while opening the browser cache:', S);
        }
    }
    if ((!u && env.useFSCache && (u = new FileCache(i.cache_dir ?? env.cacheDir)), !u && env.useCustomCache))
        throw Error('`env.useCustomCache=true`, but `env.customCache` is not defined.');
    const n = i.revision ?? 'main';
    let s = pathJoin(t, e),
        d = pathJoin(env.localModelPath, s),
        f = pathJoin(
            env.remoteHost,
            env.remotePathTemplate.replaceAll('{model}', t).replaceAll('{revision}', encodeURIComponent(n)),
            e
        ),
        r = n === 'main' ? s : pathJoin(t, n, e),
        a,
        l = u instanceof FileCache ? r : f,
        p = !1,
        m;
    u && (m = await tryCache(u, d, l));
    const y = m !== void 0;
    if (m === void 0) {
        if (env.allowLocalModels)
            if (isValidHttpUrl(s)) {
                if (i.local_files_only)
                    throw new Error(`\`local_files_only=true\`, but attempted to load a remote file from: ${s}.`);
            } else
                try {
                    (m = await getFile(d)), (a = d);
                } catch (E) {
                    console.warn(`Unable to load from local path "${d}": "${E}"`);
                }
        if (m === void 0 || m.status === 404) {
            if (i.local_files_only || !env.allowRemoteModels) {
                if (o)
                    throw Error(
                        `\`local_files_only=true\` or \`env.allowRemoteModels=false\` and file was not found locally at "${d}".`
                    );
                return null;
            }
            if (((m = await getFile(f)), m.status !== 200)) return handleError(m.status, f, o);
            a = l;
        }
        p = u && typeof Response < 'u' && m instanceof Response && m.status === 200;
    }
    dispatchCallback(i.progress_callback, { status: 'download', name: t, file: e });
    const T = { status: 'progress', name: t, file: e };
    let v;
    return (
        i.progress_callback
            ? y && typeof navigator < 'u' && /firefox/i.test(navigator.userAgent)
                ? ((v = new Uint8Array(await m.arrayBuffer())),
                  dispatchCallback(i.progress_callback, { ...T, progress: 100, loaded: v.length, total: v.length }))
                : (v = await readResponse(m, (S) => {
                      dispatchCallback(i.progress_callback, { ...T, ...S });
                  }))
            : (v = new Uint8Array(await m.arrayBuffer())),
        p &&
            a &&
            (await u.match(a)) === void 0 &&
            (await u.put(a, new Response(v, { headers: m.headers })).catch((S) => {
                console.warn(`Unable to add response to browser cache: ${S}.`);
            })),
        dispatchCallback(i.progress_callback, { status: 'done', name: t, file: e }),
        v
    );
}
async function getModelJSON(t, e, o = !0, i = {}) {
    let u = await getModelFile(t, e, o, i);
    if (u === null) return {};
    let s = new TextDecoder('utf-8').decode(u);
    return JSON.parse(s);
}
async function readResponse(t, e) {
    const o = t.headers.get('Content-Length');
    o === null &&
        console.warn('Unable to determine content-length from response headers. Will expand buffer when needed.');
    let i = parseInt(o ?? '0'),
        u = new Uint8Array(i),
        n = 0;
    const s = t.body.getReader();
    async function d() {
        const { done: f, value: r } = await s.read();
        if (f) return;
        let a = n + r.length;
        if (a > i) {
            i = a;
            let p = new Uint8Array(i);
            p.set(u), (u = p);
        }
        u.set(r, n), (n = a);
        const l = (n / i) * 100;
        return e({ progress: l, loaded: n, total: i }), d();
    }
    return await d(), u;
}
function pathJoin(...t) {
    return (
        (t = t.map(
            (e, o) => (
                o && (e = e.replace(new RegExp('^/'), '')),
                o !== t.length - 1 && (e = e.replace(new RegExp('/$'), '')),
                e
            )
        )),
        t.join('/')
    );
}
function interpolate_data(t, [e, o, i], [u, n], s = 'bilinear', d = !1) {
    const f = n / i,
        r = u / o,
        a = new t.constructor(u * n * e),
        l = o * i,
        p = u * n;
    for (let m = 0; m < u; ++m)
        for (let y = 0; y < n; ++y) {
            const T = m * n + y,
                v = (y + 0.5) / f - 0.5,
                S = (m + 0.5) / r - 0.5;
            let E = Math.floor(v),
                A = Math.floor(S);
            const F = Math.min(E + 1, i - 1),
                B = Math.min(A + 1, o - 1);
            (E = Math.max(E, 0)), (A = Math.max(A, 0));
            const J = v - E,
                Q = S - A,
                re = (1 - J) * (1 - Q),
                V = J * (1 - Q),
                de = (1 - J) * Q,
                ke = J * Q,
                Ne = A * i,
                Me = B * i,
                Y = Ne + E,
                _e = Ne + F,
                he = Me + E,
                ue = Me + F;
            for (let pe = 0; pe < e; ++pe) {
                const X = pe * l;
                a[pe * p + T] = re * t[X + Y] + V * t[X + _e] + de * t[X + he] + ke * t[X + ue];
            }
        }
    return a;
}
function transpose_data(t, e, o) {
    const i = new Array(o.length),
        u = new Array(o.length);
    for (let d = o.length - 1, f = 1; d >= 0; --d) (u[d] = f), (i[d] = e[o[d]]), (f *= i[d]);
    const n = o.map((d, f) => u[o.indexOf(f)]),
        s = new t.constructor(t.length);
    for (let d = 0; d < t.length; ++d) {
        let f = 0;
        for (let r = e.length - 1, a = d; r >= 0; --r) (f += (a % e[r]) * n[r]), (a = Math.floor(a / e[r]));
        s[f] = t[d];
    }
    return [s, i];
}
function softmax(t) {
    const e = max(t)[0],
        o = t.map((n) => Math.exp(n - e)),
        i = o.reduce((n, s) => n + s, 0);
    return o.map((n) => n / i);
}
function log_softmax(t) {
    return softmax(t).map((i) => Math.log(i));
}
function getTopItems(t, e = 0) {
    return (
        (t = Array.from(t)
            .map((o, i) => [i, o])
            .sort((o, i) => i[1] - o[1])),
        e !== null && e > 0 && (t = t.slice(0, e)),
        t
    );
}
function min(t) {
    if (t.length === 0) throw Error('Array must not be empty');
    let e = t[0],
        o = 0;
    for (let i = 1; i < t.length; ++i) t[i] < e && ((e = t[i]), (o = i));
    return [e, o];
}
function max(t) {
    if (t.length === 0) throw Error('Array must not be empty');
    let e = t[0],
        o = 0;
    for (let i = 1; i < t.length; ++i) t[i] > e && ((e = t[i]), (o = i));
    return [Number(e), o];
}
function isPowerOfTwo(t) {
    return t > 0 && (t & (t - 1)) === 0;
}
class P2FFT {
    constructor(e) {
        if (((this.size = e | 0), this.size <= 1 || !isPowerOfTwo(this.size)))
            throw new Error('FFT size must be a power of two larger than 1');
        (this._csize = e << 1), (this.table = new Float64Array(this.size * 2));
        for (let i = 0; i < this.table.length; i += 2) {
            const u = (Math.PI * i) / this.size;
            (this.table[i] = Math.cos(u)), (this.table[i + 1] = -Math.sin(u));
        }
        let o = 0;
        for (let i = 1; this.size > i; i <<= 1) ++o;
        (this._width = o % 2 === 0 ? o - 1 : o), (this._bitrev = new Int32Array(1 << this._width));
        for (let i = 0; i < this._bitrev.length; ++i) {
            this._bitrev[i] = 0;
            for (let u = 0; u < this._width; u += 2) {
                const n = this._width - u - 2;
                this._bitrev[i] |= ((i >>> u) & 3) << n;
            }
        }
    }
    createComplexArray() {
        return new Float64Array(this._csize);
    }
    fromComplexArray(e, o) {
        const i = o || new Array(e.length >>> 1);
        for (let u = 0; u < e.length; u += 2) i[u >>> 1] = e[u];
        return i;
    }
    toComplexArray(e, o) {
        const i = o || this.createComplexArray();
        for (let u = 0; u < i.length; u += 2) (i[u] = e[u >>> 1]), (i[u + 1] = 0);
        return i;
    }
    completeSpectrum(e) {
        const o = this._csize,
            i = o >>> 1;
        for (let u = 2; u < i; u += 2) (e[o - u] = e[u]), (e[o - u + 1] = -e[u + 1]);
    }
    transform(e, o) {
        if (e === o) throw new Error('Input and output buffers must be different');
        this._transform4(e, o, 1);
    }
    realTransform(e, o) {
        if (e === o) throw new Error('Input and output buffers must be different');
        this._realTransform4(e, o, 1);
    }
    inverseTransform(e, o) {
        if (e === o) throw new Error('Input and output buffers must be different');
        this._transform4(e, o, -1);
        for (let i = 0; i < e.length; ++i) e[i] /= this.size;
    }
    _transform4(e, o, i) {
        const u = this._csize;
        let s = 1 << this._width,
            d = (u / s) << 1,
            f,
            r;
        const a = this._bitrev;
        if (d === 4)
            for (f = 0, r = 0; f < u; f += d, ++r) {
                const l = a[r];
                this._singleTransform2(o, e, f, l, s);
            }
        else
            for (f = 0, r = 0; f < u; f += d, ++r) {
                const l = a[r];
                this._singleTransform4(o, e, f, l, s, i);
            }
        for (s >>= 2; s >= 2; s >>= 2) {
            d = (u / s) << 1;
            const l = d >>> 2;
            for (f = 0; f < u; f += d) {
                const p = f + l - 1;
                for (let m = f, y = 0; m < p; m += 2, y += s) {
                    const T = m,
                        v = T + l,
                        S = v + l,
                        E = S + l,
                        A = e[T],
                        F = e[T + 1],
                        B = e[v],
                        J = e[v + 1],
                        Q = e[S],
                        re = e[S + 1],
                        V = e[E],
                        de = e[E + 1],
                        ke = this.table[y],
                        Ne = i * this.table[y + 1],
                        Me = B * ke - J * Ne,
                        Y = B * Ne + J * ke,
                        _e = this.table[2 * y],
                        he = i * this.table[2 * y + 1],
                        ue = Q * _e - re * he,
                        pe = Q * he + re * _e,
                        X = this.table[3 * y],
                        ve = i * this.table[3 * y + 1],
                        we = V * X - de * ve,
                        rt = V * ve + de * X,
                        ot = A + ue,
                        qe = F + pe,
                        He = A - ue,
                        Qe = F - pe,
                        Be = Me + we,
                        Ce = Y + rt,
                        Se = i * (Me - we),
                        je = i * (Y - rt);
                    (e[T] = ot + Be),
                        (e[T + 1] = qe + Ce),
                        (e[v] = He + je),
                        (e[v + 1] = Qe - Se),
                        (e[S] = ot - Be),
                        (e[S + 1] = qe - Ce),
                        (e[E] = He - je),
                        (e[E + 1] = Qe + Se);
                }
            }
        }
    }
    _singleTransform2(e, o, i, u, n) {
        const s = e[u],
            d = e[u + 1],
            f = e[u + n],
            r = e[u + n + 1];
        (o[i] = s + f), (o[i + 1] = d + r), (o[i + 2] = s - f), (o[i + 3] = d - r);
    }
    _singleTransform4(e, o, i, u, n, s) {
        const d = n * 2,
            f = n * 3,
            r = e[u],
            a = e[u + 1],
            l = e[u + n],
            p = e[u + n + 1],
            m = e[u + d],
            y = e[u + d + 1],
            T = e[u + f],
            v = e[u + f + 1],
            S = r + m,
            E = a + y,
            A = r - m,
            F = a - y,
            B = l + T,
            J = p + v,
            Q = s * (l - T),
            re = s * (p - v);
        (o[i] = S + B),
            (o[i + 1] = E + J),
            (o[i + 2] = A + re),
            (o[i + 3] = F - Q),
            (o[i + 4] = S - B),
            (o[i + 5] = E - J),
            (o[i + 6] = A - re),
            (o[i + 7] = F + Q);
    }
    _realTransform4(e, o, i) {
        const u = this._csize;
        let s = 1 << this._width,
            d = (u / s) << 1,
            f,
            r;
        const a = this._bitrev;
        if (d === 4)
            for (f = 0, r = 0; f < u; f += d, ++r) {
                const l = a[r];
                this._singleRealTransform2(o, e, f, l >>> 1, s >>> 1);
            }
        else
            for (f = 0, r = 0; f < u; f += d, ++r) {
                const l = a[r];
                this._singleRealTransform4(o, e, f, l >>> 1, s >>> 1, i);
            }
        for (s >>= 2; s >= 2; s >>= 2) {
            d = (u / s) << 1;
            const l = d >>> 2;
            for (f = 0; f < u; f += d) {
                const p = f + l - 1;
                for (let m = f, y = 0; m < p; m += 2, y += s) {
                    const T = m,
                        v = T + l,
                        S = v + l,
                        E = S + l,
                        A = e[T],
                        F = e[T + 1],
                        B = e[v],
                        J = e[v + 1],
                        Q = e[S],
                        re = e[S + 1],
                        V = e[E],
                        de = e[E + 1],
                        ke = this.table[y],
                        Ne = i * this.table[y + 1],
                        Me = B * ke - J * Ne,
                        Y = B * Ne + J * ke,
                        _e = this.table[2 * y],
                        he = i * this.table[2 * y + 1],
                        ue = Q * _e - re * he,
                        pe = Q * he + re * _e,
                        X = this.table[3 * y],
                        ve = i * this.table[3 * y + 1],
                        we = V * X - de * ve,
                        rt = V * ve + de * X,
                        ot = A + ue,
                        qe = F + pe,
                        He = A - ue,
                        Qe = F - pe,
                        Be = Me + we,
                        Ce = Y + rt,
                        Se = i * (Me - we),
                        je = i * (Y - rt);
                    (e[T] = ot + Be),
                        (e[T + 1] = qe + Ce),
                        (e[v] = He + je),
                        (e[v + 1] = Qe - Se),
                        (e[S] = ot - Be),
                        (e[S + 1] = qe - Ce),
                        (e[E] = He - je),
                        (e[E + 1] = Qe + Se);
                }
            }
        }
    }
    _singleRealTransform2(e, o, i, u, n) {
        const s = e[u],
            d = e[u + n];
        (o[i] = s + d), (o[i + 1] = 0), (o[i + 2] = s - d), (o[i + 3] = 0);
    }
    _singleRealTransform4(e, o, i, u, n, s) {
        const d = n * 2,
            f = n * 3,
            r = e[u],
            a = e[u + n],
            l = e[u + d],
            p = e[u + f],
            m = r + l,
            y = r - l,
            T = a + p,
            v = s * (a - p);
        (o[i] = m + T),
            (o[i + 1] = 0),
            (o[i + 2] = y),
            (o[i + 3] = -v),
            (o[i + 4] = m - T),
            (o[i + 5] = 0),
            (o[i + 6] = y),
            (o[i + 7] = v);
    }
}
class NP2FFT {
    constructor(e) {
        const o = 2 * (e - 1),
            i = 2 * (2 * e - 1),
            u = 2 ** Math.ceil(Math.log2(i));
        (this.bufferSize = u), (this._a = o);
        const n = new Float64Array(i),
            s = new Float64Array(u);
        (this._chirpBuffer = new Float64Array(u)),
            (this._buffer1 = new Float64Array(u)),
            (this._buffer2 = new Float64Array(u)),
            (this._outBuffer1 = new Float64Array(u)),
            (this._outBuffer2 = new Float64Array(u));
        const d = (-2 * Math.PI) / e,
            f = Math.cos(d),
            r = Math.sin(d);
        for (let a = 0; a < i >> 1; ++a) {
            const l = (a + 1 - e) ** 2 / 2,
                p = Math.sqrt(f ** 2 + r ** 2) ** l,
                m = l * Math.atan2(r, f),
                y = 2 * a;
            (n[y] = p * Math.cos(m)), (n[y + 1] = p * Math.sin(m)), (s[y] = n[y]), (s[y + 1] = -n[y + 1]);
        }
        (this._slicedChirpBuffer = n.subarray(o, i)),
            (this._f = new P2FFT(u >> 1)),
            this._f.transform(this._chirpBuffer, s);
    }
    _transform(e, o, i) {
        const u = this._buffer1,
            n = this._buffer2,
            s = this._outBuffer1,
            d = this._outBuffer2,
            f = this._chirpBuffer,
            r = this._slicedChirpBuffer,
            a = this._a;
        if (i)
            for (let l = 0; l < r.length; l += 2) {
                const p = l + 1,
                    m = l >> 1,
                    y = o[m];
                (u[l] = y * r[l]), (u[p] = y * r[p]);
            }
        else
            for (let l = 0; l < r.length; l += 2) {
                const p = l + 1;
                (u[l] = o[l] * r[l] - o[p] * r[p]), (u[p] = o[l] * r[p] + o[p] * r[l]);
            }
        this._f.transform(s, u);
        for (let l = 0; l < f.length; l += 2) {
            const p = l + 1;
            (n[l] = s[l] * f[l] - s[p] * f[p]), (n[p] = s[l] * f[p] + s[p] * f[l]);
        }
        this._f.inverseTransform(d, n);
        for (let l = 0; l < d.length; l += 2) {
            const p = d[l + a],
                m = d[l + a + 1],
                y = r[l],
                T = r[l + 1];
            (e[l] = p * y - m * T), (e[l + 1] = p * T + m * y);
        }
    }
    transform(e, o) {
        this._transform(e, o, !1);
    }
    realTransform(e, o) {
        this._transform(e, o, !0);
    }
}
class FFT {
    constructor(e) {
        (this.fft_length = e),
            (this.isPowerOfTwo = isPowerOfTwo(e)),
            this.isPowerOfTwo
                ? ((this.fft = new P2FFT(e)), (this.outputBufferSize = 2 * e))
                : ((this.fft = new NP2FFT(e)), (this.outputBufferSize = this.fft.bufferSize));
    }
    realTransform(e, o) {
        this.fft.realTransform(e, o);
    }
    transform(e, o) {
        this.fft.transform(e, o);
    }
}
function medianFilter(t, e) {
    if (e % 2 === 0 || e <= 0) throw new Error('Window size must be a positive odd number');
    const o = new t.constructor(t.length),
        i = new t.constructor(e),
        u = Math.floor(e / 2);
    for (let n = 0; n < t.length; ++n) {
        let s = 0;
        for (let d = -u; d <= u; ++d) {
            let f = n + d;
            f < 0 ? (f = Math.abs(f)) : f >= t.length && (f = 2 * (t.length - 1) - f), (i[s++] = t[f]);
        }
        i.sort(), (o[n] = i[u]);
    }
    return o;
}
const scriptRel = 'modulepreload',
    assetsURL = function (t) {
        return '/' + t;
    },
    seen = {},
    __vitePreload = function (e, o, i) {
        let u = Promise.resolve();
        if (o && o.length > 0) {
            const n = document.getElementsByTagName('link');
            u = Promise.all(
                o.map((s) => {
                    if (((s = assetsURL(s)), s in seen)) return;
                    seen[s] = !0;
                    const d = s.endsWith('.css'),
                        f = d ? '[rel="stylesheet"]' : '';
                    if (!!i)
                        for (let l = n.length - 1; l >= 0; l--) {
                            const p = n[l];
                            if (p.href === s && (!d || p.rel === 'stylesheet')) return;
                        }
                    else if (document.querySelector(`link[href="${s}"]${f}`)) return;
                    const a = document.createElement('link');
                    if (
                        ((a.rel = d ? 'stylesheet' : scriptRel),
                        d || ((a.as = 'script'), (a.crossOrigin = '')),
                        (a.href = s),
                        document.head.appendChild(a),
                        d)
                    )
                        return new Promise((l, p) => {
                            a.addEventListener('load', l),
                                a.addEventListener('error', () => p(new Error(`Unable to preload CSS for ${s}`)));
                        });
                })
            );
        }
        return u
            .then(() => e())
            .catch((n) => {
                const s = new Event('vite:preloadError', { cancelable: !0 });
                if (((s.payload = n), window.dispatchEvent(s), !s.defaultPrevented)) throw n;
            });
    };
/*!
 * ONNX Runtime Web v1.17.1
 * Copyright (c) Microsoft Corporation. All rights reserved.
 * Licensed under the MIT License.
 */ var vd = Object.create,
    En = Object.defineProperty,
    wd = Object.getOwnPropertyDescriptor,
    _d = Object.getOwnPropertyNames,
    Od = Object.getPrototypeOf,
    Id = Object.prototype.hasOwnProperty,
    L = (t, e) => () => (t && (e = t((t = 0))), e),
    me = (t, e) => () => (e || t((e = { exports: {} }).exports, e), e.exports),
    Pr = (t, e) => {
        for (var o in e) En(t, o, { get: e[o], enumerable: !0 });
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    Ha = (t, e, o, i) => {
        if ((e && typeof e == 'object') || typeof e == 'function')
            for (let u of _d(e))
                !Id.call(t, u) && u !== o && En(t, u, { get: () => e[u], enumerable: !(i = wd(e, u)) || i.enumerable });
        return t;
    },
    Er = (t, e, o) => (
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    Dn,
    nr,
    or,
    Ln,
    Fn = L(() => {
        (Dn = new Map()),
            (nr = []),
            (or = (t, e, o) => {
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                    let i = Dn.get(t);
                    if (i === void 0) Dn.set(t, { backend: e, priority: o });
                    else {
                        if (i.priority > o) return;
                        if (i.priority === o && i.backend !== e)
                            throw new Error(`cannot register backend "${t}" using priority ${o}`);
                    }
                    if (o >= 0) {
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                        u !== -1 && nr.splice(u, 1);
                        for (let n = 0; n < nr.length; n++)
                            if (Dn.get(nr[n]).priority <= o) {
                                nr.splice(n, 0, t);
                                return;
                            }
                        nr.push(t);
                    }
                    return;
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                throw new TypeError('not a valid backend');
            }),
            (Ln = async (t) => {
                let e = t.length === 0 ? nr : t,
                    o = [];
                for (let i of e) {
                    let u = Dn.get(i);
                    if (u) {
                        if (u.initialized) return u.backend;
                        if (u.aborted) continue;
                        let n = !!u.initPromise;
                        try {
                            return (
                                n || (u.initPromise = u.backend.init(i)),
                                await u.initPromise,
                                (u.initialized = !0),
                                u.backend
                            );
                        } catch (s) {
                            n || o.push({ name: i, err: s }), (u.aborted = !0);
                        } finally {
                            delete u.initPromise;
                        }
                    }
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                throw new Error(`no available backend found. ERR: ${o.map((i) => `[${i.name}] ${i.err}`).join(', ')}`);
            });
    }),
    qa = L(() => {
        Fn();
    }),
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        ja = '1.17.1';
    }),
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        Ya(),
            (Xa = 'warning'),
            (ir = {
                wasm: {},
                webgl: {},
                webgpu: {},
                versions: { common: ja },
                set logLevel(t) {
                    if (t !== void 0) {
                        if (typeof t != 'string' || ['verbose', 'info', 'warning', 'error', 'fatal'].indexOf(t) === -1)
                            throw new Error(`Unsupported logging level: ${t}`);
                        Xa = t;
                    }
                },
                get logLevel() {
                    return Xa;
                },
            }),
            Object.defineProperty(ir, 'logLevel', { enumerable: !0 });
    }),
    Z,
    Ka = L(() => {
        Ho(), (Z = ir);
    }),
    Ja,
    Za,
    Qa = L(() => {
        (Ja = (t, e) => {
            let o = typeof document < 'u' ? document.createElement('canvas') : new OffscreenCanvas(1, 1);
            (o.width = t.dims[3]), (o.height = t.dims[2]);
            let i = o.getContext('2d');
            if (i != null) {
                let u, n;
                e?.tensorLayout !== void 0 && e.tensorLayout === 'NHWC'
                    ? ((u = t.dims[2]), (n = t.dims[3]))
                    : ((u = t.dims[3]), (n = t.dims[2]));
                let s = e?.format !== void 0 ? e.format : 'RGB',
                    d = e?.norm,
                    f,
                    r;
                d === void 0 || d.mean === void 0
                    ? (f = [255, 255, 255, 255])
                    : typeof d.mean == 'number'
                    ? (f = [d.mean, d.mean, d.mean, d.mean])
                    : ((f = [d.mean[0], d.mean[1], d.mean[2], 0]), d.mean[3] !== void 0 && (f[3] = d.mean[3])),
                    d === void 0 || d.bias === void 0
                        ? (r = [0, 0, 0, 0])
                        : typeof d.bias == 'number'
                        ? (r = [d.bias, d.bias, d.bias, d.bias])
                        : ((r = [d.bias[0], d.bias[1], d.bias[2], 0]), d.bias[3] !== void 0 && (r[3] = d.bias[3]));
                let a = n * u,
                    l = 0,
                    p = a,
                    m = a * 2,
                    y = -1;
                s === 'RGBA'
                    ? ((l = 0), (p = a), (m = a * 2), (y = a * 3))
                    : s === 'RGB'
                    ? ((l = 0), (p = a), (m = a * 2))
                    : s === 'RBG' && ((l = 0), (m = a), (p = a * 2));
                for (let T = 0; T < n; T++)
                    for (let v = 0; v < u; v++) {
                        let S = (t.data[l++] - r[0]) * f[0],
                            E = (t.data[p++] - r[1]) * f[1],
                            A = (t.data[m++] - r[2]) * f[2],
                            F = y === -1 ? 255 : (t.data[y++] - r[3]) * f[3];
                        (i.fillStyle = 'rgba(' + S + ',' + E + ',' + A + ',' + F + ')'), i.fillRect(v, T, 1, 1);
                    }
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                throw new Error('toDataURL is not supported');
            } else throw new Error('Can not access image data');
        }),
            (Za = (t, e) => {
                let o =
                        typeof document < 'u'
                            ? document.createElement('canvas').getContext('2d')
                            : new OffscreenCanvas(1, 1).getContext('2d'),
                    i;
                if (o != null) {
                    let u, n, s;
                    e?.tensorLayout !== void 0 && e.tensorLayout === 'NHWC'
                        ? ((u = t.dims[2]), (n = t.dims[1]), (s = t.dims[3]))
                        : ((u = t.dims[3]), (n = t.dims[2]), (s = t.dims[1]));
                    let d = e !== void 0 && e.format !== void 0 ? e.format : 'RGB',
                        f = e?.norm,
                        r,
                        a;
                    f === void 0 || f.mean === void 0
                        ? (r = [255, 255, 255, 255])
                        : typeof f.mean == 'number'
                        ? (r = [f.mean, f.mean, f.mean, f.mean])
                        : ((r = [f.mean[0], f.mean[1], f.mean[2], 255]), f.mean[3] !== void 0 && (r[3] = f.mean[3])),
                        f === void 0 || f.bias === void 0
                            ? (a = [0, 0, 0, 0])
                            : typeof f.bias == 'number'
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                            : ((a = [f.bias[0], f.bias[1], f.bias[2], 0]), f.bias[3] !== void 0 && (a[3] = f.bias[3]));
                    let l = n * u;
                    if (
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                        throw new Error("Tensor format doesn't match input tensor dims");
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                        ? ((S = 0), (E = l), (A = l * 2), (F = l * 3))
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                        ? ((S = 0), (E = l), (A = l * 2))
                        : d === 'RBG' && ((S = 0), (A = l), (E = l * 2)),
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                            (i.data[y] = (t.data[E++] - a[1]) * r[1]),
                            (i.data[T] = (t.data[A++] - a[2]) * r[2]),
                            (i.data[v] = F === -1 ? 255 : (t.data[F++] - a[3]) * r[3]);
                } else throw new Error('Can not access image data');
                return i;
            });
    }),
    qo,
    es,
    ts,
    rs,
    ns,
    os = L(() => {
        $n(),
            (qo = (t, e) => {
                if (t === void 0) throw new Error('Image buffer must be defined');
                if (e.height === void 0 || e.width === void 0)
                    throw new Error('Image height and width must be defined');
                if (e.tensorLayout === 'NHWC') throw new Error('NHWC Tensor layout is not supported yet');
                let { height: o, width: i } = e,
                    u = e.norm ?? { mean: 255, bias: 0 },
                    n,
                    s;
                typeof u.mean == 'number'
                    ? (n = [u.mean, u.mean, u.mean, u.mean])
                    : (n = [u.mean[0], u.mean[1], u.mean[2], u.mean[3] ?? 255]),
                    typeof u.bias == 'number'
                        ? (s = [u.bias, u.bias, u.bias, u.bias])
                        : (s = [u.bias[0], u.bias[1], u.bias[2], u.bias[3] ?? 0]);
                let d = e.format !== void 0 ? e.format : 'RGBA',
                    f = e.tensorFormat !== void 0 && e.tensorFormat !== void 0 ? e.tensorFormat : 'RGB',
                    r = o * i,
                    a = f === 'RGBA' ? new Float32Array(r * 4) : new Float32Array(r * 3),
                    l = 4,
                    p = 0,
                    m = 1,
                    y = 2,
                    T = 3,
                    v = 0,
                    S = r,
                    E = r * 2,
                    A = -1;
                d === 'RGB' && ((l = 3), (p = 0), (m = 1), (y = 2), (T = -1)),
                    f === 'RGBA'
                        ? (A = r * 3)
                        : f === 'RBG'
                        ? ((v = 0), (E = r), (S = r * 2))
                        : f === 'BGR' && ((E = 0), (S = r), (v = r * 2));
                for (let F = 0; F < r; F++, p += l, y += l, m += l, T += l)
                    (a[v++] = (t[p] + s[0]) / n[0]),
                        (a[S++] = (t[m] + s[1]) / n[1]),
                        (a[E++] = (t[y] + s[2]) / n[2]),
                        A !== -1 && T !== -1 && (a[A++] = (t[T] + s[3]) / n[3]);
                return f === 'RGBA' ? new Ye('float32', a, [1, 4, o, i]) : new Ye('float32', a, [1, 3, o, i]);
            }),
            (es = async (t, e) => {
                let o = typeof HTMLImageElement < 'u' && t instanceof HTMLImageElement,
                    i = typeof ImageData < 'u' && t instanceof ImageData,
                    u = typeof ImageBitmap < 'u' && t instanceof ImageBitmap,
                    n = typeof t == 'string',
                    s,
                    d = e ?? {},
                    f = () => {
                        if (typeof document < 'u') return document.createElement('canvas');
                        if (typeof OffscreenCanvas < 'u') return new OffscreenCanvas(1, 1);
                        throw new Error('Canvas is not supported');
                    },
                    r = (a) =>
                        a instanceof HTMLCanvasElement || a instanceof OffscreenCanvas ? a.getContext('2d') : null;
                if (o) {
                    let a = f();
                    (a.width = t.width), (a.height = t.height);
                    let l = r(a);
                    if (l != null) {
                        let p = t.height,
                            m = t.width;
                        if (
                            (e !== void 0 &&
                                e.resizedHeight !== void 0 &&
                                e.resizedWidth !== void 0 &&
                                ((p = e.resizedHeight), (m = e.resizedWidth)),
                            e !== void 0)
                        ) {
                            if (((d = e), e.tensorFormat !== void 0))
                                throw new Error('Image input config format must be RGBA for HTMLImageElement');
                            (d.tensorFormat = 'RGBA'), (d.height = p), (d.width = m);
                        } else (d.tensorFormat = 'RGBA'), (d.height = p), (d.width = m);
                        l.drawImage(t, 0, 0), (s = l.getImageData(0, 0, m, p).data);
                    } else throw new Error('Can not access image data');
                } else if (i) {
                    let a, l;
                    if (
                        (e !== void 0 && e.resizedWidth !== void 0 && e.resizedHeight !== void 0
                            ? ((a = e.resizedHeight), (l = e.resizedWidth))
                            : ((a = t.height), (l = t.width)),
                        e !== void 0 && (d = e),
                        (d.format = 'RGBA'),
                        (d.height = a),
                        (d.width = l),
                        e !== void 0)
                    ) {
                        let p = f();
                        (p.width = l), (p.height = a);
                        let m = r(p);
                        if (m != null) m.putImageData(t, 0, 0), (s = m.getImageData(0, 0, l, a).data);
                        else throw new Error('Can not access image data');
                    } else s = t.data;
                } else if (u) {
                    if (e === void 0) throw new Error('Please provide image config with format for Imagebitmap');
                    let a = f();
                    (a.width = t.width), (a.height = t.height);
                    let l = r(a);
                    if (l != null) {
                        let p = t.height,
                            m = t.width;
                        return (
                            l.drawImage(t, 0, 0, m, p),
                            (s = l.getImageData(0, 0, m, p).data),
                            (d.height = p),
                            (d.width = m),
                            qo(s, d)
                        );
                    } else throw new Error('Can not access image data');
                } else {
                    if (n)
                        return new Promise((a, l) => {
                            let p = f(),
                                m = r(p);
                            if (!t || !m) return l();
                            let y = new Image();
                            (y.crossOrigin = 'Anonymous'),
                                (y.src = t),
                                (y.onload = () => {
                                    (p.width = y.width), (p.height = y.height), m.drawImage(y, 0, 0, p.width, p.height);
                                    let T = m.getImageData(0, 0, p.width, p.height);
                                    (d.height = p.height), (d.width = p.width), a(qo(T.data, d));
                                });
                        });
                    throw new Error('Input data provided is not supported - aborted tensor creation');
                }
                if (s !== void 0) return qo(s, d);
                throw new Error('Input data provided is not supported - aborted tensor creation');
            }),
            (ts = (t, e) => {
                let { width: o, height: i, download: u, dispose: n } = e,
                    s = [1, i, o, 4];
                return new Ye({ location: 'texture', type: 'float32', texture: t, dims: s, download: u, dispose: n });
            }),
            (rs = (t, e) => {
                let { dataType: o, dims: i, download: u, dispose: n } = e;
                return new Ye({
                    location: 'gpu-buffer',
                    type: o ?? 'float32',
                    gpuBuffer: t,
                    dims: i,
                    download: u,
                    dispose: n,
                });
            }),
            (ns = (t, e, o) => new Ye({ location: 'cpu-pinned', type: t, data: e, dims: o ?? [e.length] }));
    }),
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        (Qr = new Map([
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            ['uint8', Uint8Array],
            ['int8', Int8Array],
            ['uint16', Uint16Array],
            ['float16', Uint16Array],
            ['int16', Int16Array],
            ['int32', Int32Array],
            ['bool', Uint8Array],
            ['float64', Float64Array],
            ['uint32', Uint32Array],
        ])),
            (Cn = new Map([
                [Float32Array, 'float32'],
                [Uint8Array, 'uint8'],
                [Int8Array, 'int8'],
                [Uint16Array, 'uint16'],
                [Int16Array, 'int16'],
                [Int32Array, 'int32'],
                [Float64Array, 'float64'],
                [Uint32Array, 'uint32'],
            ])),
            (is = !1),
            (as = () => {
                if (!is) {
                    is = !0;
                    let t = typeof BigInt64Array < 'u' && typeof BigInt64Array.from == 'function',
                        e = typeof BigUint64Array < 'u' && typeof BigUint64Array.from == 'function';
                    t && (Qr.set('int64', BigInt64Array), Cn.set(BigInt64Array, 'int64')),
                        e && (Qr.set('uint64', BigUint64Array), Cn.set(BigUint64Array, 'uint64'));
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            });
    }),
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        $n(),
            (us = (t) => {
                let e = 1;
                for (let o = 0; o < t.length; o++) {
                    let i = t[o];
                    if (typeof i != 'number' || !Number.isSafeInteger(i))
                        throw new TypeError(`dims[${o}] must be an integer, got: ${i}`);
                    if (i < 0) throw new RangeError(`dims[${o}] must be a non-negative integer, got: ${i}`);
                    e *= i;
                }
                return e;
            }),
            (ls = (t, e) => {
                switch (t.location) {
                    case 'cpu':
                        return new Ye(t.type, t.data, e);
                    case 'cpu-pinned':
                        return new Ye({ location: 'cpu-pinned', data: t.data, type: t.type, dims: e });
                    case 'texture':
                        return new Ye({ location: 'texture', texture: t.texture, type: t.type, dims: e });
                    case 'gpu-buffer':
                        return new Ye({ location: 'gpu-buffer', gpuBuffer: t.gpuBuffer, type: t.type, dims: e });
                    default:
                        throw new Error(`tensorReshape: tensor location ${t.location} is not supported`);
                }
            });
    }),
    Ye,
    $n = L(() => {
        Qa(),
            os(),
            ss(),
            fs(),
            (Ye = class {
                constructor(t, e, o) {
                    as();
                    let i, u;
                    if (typeof t == 'object' && 'location' in t)
                        switch (((this.dataLocation = t.location), (i = t.type), (u = t.dims), t.location)) {
                            case 'cpu-pinned': {
                                let s = Qr.get(i);
                                if (!s)
                                    throw new TypeError(`unsupported type "${i}" to create tensor from pinned buffer`);
                                if (!(t.data instanceof s)) throw new TypeError(`buffer should be of type ${s.name}`);
                                this.cpuData = t.data;
                                break;
                            }
                            case 'texture': {
                                if (i !== 'float32')
                                    throw new TypeError(`unsupported type "${i}" to create tensor from texture`);
                                (this.gpuTextureData = t.texture),
                                    (this.downloader = t.download),
                                    (this.disposer = t.dispose);
                                break;
                            }
                            case 'gpu-buffer': {
                                if (
                                    i !== 'float32' &&
                                    i !== 'float16' &&
                                    i !== 'int32' &&
                                    i !== 'int64' &&
                                    i !== 'uint32' &&
                                    i !== 'bool'
                                )
                                    throw new TypeError(`unsupported type "${i}" to create tensor from gpu buffer`);
                                (this.gpuBufferData = t.gpuBuffer),
                                    (this.downloader = t.download),
                                    (this.disposer = t.dispose);
                                break;
                            }
                            default:
                                throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`);
                        }
                    else {
                        let s, d;
                        if (typeof t == 'string')
                            if (((i = t), (d = o), t === 'string')) {
                                if (!Array.isArray(e))
                                    throw new TypeError("A string tensor's data must be a string array.");
                                s = e;
                            } else {
                                let f = Qr.get(t);
                                if (f === void 0) throw new TypeError(`Unsupported tensor type: ${t}.`);
                                if (Array.isArray(e)) {
                                    if (t === 'float16')
                                        throw new TypeError(
                                            'Creating a float16 tensor from number array is not supported. Please use Uint16Array as data.'
                                        );
                                    t === 'uint64' || t === 'int64' ? (s = f.from(e, BigInt)) : (s = f.from(e));
                                } else if (e instanceof f) s = e;
                                else throw new TypeError(`A ${i} tensor's data must be type of ${f}`);
                            }
                        else if (((d = e), Array.isArray(t))) {
                            if (t.length === 0)
                                throw new TypeError('Tensor type cannot be inferred from an empty array.');
                            let f = typeof t[0];
                            if (f === 'string') (i = 'string'), (s = t);
                            else if (f === 'boolean') (i = 'bool'), (s = Uint8Array.from(t));
                            else throw new TypeError(`Invalid element type of data array: ${f}.`);
                        } else {
                            let f = Cn.get(t.constructor);
                            if (f === void 0)
                                throw new TypeError(`Unsupported type for tensor data: ${t.constructor}.`);
                            (i = f), (s = t);
                        }
                        if (d === void 0) d = [s.length];
                        else if (!Array.isArray(d)) throw new TypeError("A tensor's dims must be a number array");
                        (u = d), (this.cpuData = s), (this.dataLocation = 'cpu');
                    }
                    let n = us(u);
                    if (this.cpuData && n !== this.cpuData.length)
                        throw new Error(`Tensor's size(${n}) does not match data length(${this.cpuData.length}).`);
                    (this.type = i), (this.dims = u), (this.size = n);
                }
                static async fromImage(t, e) {
                    return es(t, e);
                }
                static fromTexture(t, e) {
                    return ts(t, e);
                }
                static fromGpuBuffer(t, e) {
                    return rs(t, e);
                }
                static fromPinnedBuffer(t, e, o) {
                    return ns(t, e, o);
                }
                toDataURL(t) {
                    return Ja(this, t);
                }
                toImageData(t) {
                    return Za(this, t);
                }
                get data() {
                    if ((this.ensureValid(), !this.cpuData))
                        throw new Error(
                            'The data is not on CPU. Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly.'
                        );
                    return this.cpuData;
                }
                get location() {
                    return this.dataLocation;
                }
                get texture() {
                    if ((this.ensureValid(), !this.gpuTextureData))
                        throw new Error('The data is not stored as a WebGL texture.');
                    return this.gpuTextureData;
                }
                get gpuBuffer() {
                    if ((this.ensureValid(), !this.gpuBufferData))
                        throw new Error('The data is not stored as a WebGPU buffer.');
                    return this.gpuBufferData;
                }
                async getData(t) {
                    switch ((this.ensureValid(), this.dataLocation)) {
                        case 'cpu':
                        case 'cpu-pinned':
                            return this.data;
                        case 'texture':
                        case 'gpu-buffer': {
                            if (!this.downloader)
                                throw new Error('The current tensor is not created with a specified data downloader.');
                            if (this.isDownloading) throw new Error('The current tensor is being downloaded.');
                            try {
                                this.isDownloading = !0;
                                let e = await this.downloader();
                                return (
                                    (this.downloader = void 0),
                                    (this.dataLocation = 'cpu'),
                                    (this.cpuData = e),
                                    t && this.disposer && (this.disposer(), (this.disposer = void 0)),
                                    e
                                );
                            } finally {
                                this.isDownloading = !1;
                            }
                        }
                        default:
                            throw new Error(`cannot get data from location: ${this.dataLocation}`);
                    }
                }
                dispose() {
                    if (this.isDownloading) throw new Error('The current tensor is being downloaded.');
                    this.disposer && (this.disposer(), (this.disposer = void 0)),
                        (this.cpuData = void 0),
                        (this.gpuTextureData = void 0),
                        (this.gpuBufferData = void 0),
                        (this.downloader = void 0),
                        (this.isDownloading = void 0),
                        (this.dataLocation = 'none');
                }
                ensureValid() {
                    if (this.dataLocation === 'none') throw new Error('The tensor is disposed.');
                }
                reshape(t) {
                    if ((this.ensureValid(), this.downloader || this.disposer))
                        throw new Error('Cannot reshape a tensor that owns GPU resource.');
                    return ls(this, t);
                }
            });
    }),
    Re,
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        $n(), (Re = Ye);
    }),
    cs,
    ps,
    ar,
    sr,
    jo = L(() => {
        Ho(),
            (cs = (t, e) => {
                ir.wasm.trace && console.timeStamp(`${t}::ORT::${e}`);
            }),
            (ps = (t, e) => {
                let o = new Error().stack?.split(/\r\n|\r|\n/g) || [],
                    i = !1;
                for (let u = 0; u < o.length; u++) {
                    if (i && !o[u].includes('TRACE_FUNC')) {
                        let n = `FUNC_${t}::${o[u].trim().split(' ')[1]}`;
                        e && (n += `::${e}`), cs('CPU', n);
                        return;
                    }
                    o[u].includes('TRACE_FUNC') && (i = !0);
                }
            }),
            (ar = (t) => {
                ir.wasm.trace && ps('BEGIN', t);
            }),
            (sr = (t) => {
                ir.wasm.trace && ps('END', t);
            });
    }),
    Bn,
    ds = L(() => {
        Fn(),
            kn(),
            jo(),
            (Bn = class Rs {
                constructor(e) {
                    this.handler = e;
                }
                async run(e, o, i) {
                    ar();
                    let u = {},
                        n = {};
                    if (typeof e != 'object' || e === null || e instanceof Re || Array.isArray(e))
                        throw new TypeError(
                            "'feeds' must be an object that use input names as keys and OnnxValue as corresponding values."
                        );
                    let s = !0;
                    if (typeof o == 'object') {
                        if (o === null) throw new TypeError('Unexpected argument[1]: cannot be null.');
                        if (o instanceof Re) throw new TypeError("'fetches' cannot be a Tensor");
                        if (Array.isArray(o)) {
                            if (o.length === 0) throw new TypeError("'fetches' cannot be an empty array.");
                            s = !1;
                            for (let r of o) {
                                if (typeof r != 'string')
                                    throw new TypeError("'fetches' must be a string array or an object.");
                                if (this.outputNames.indexOf(r) === -1)
                                    throw new RangeError(`'fetches' contains invalid output name: ${r}.`);
                                u[r] = null;
                            }
                            if (typeof i == 'object' && i !== null) n = i;
                            else if (typeof i < 'u') throw new TypeError("'options' must be an object.");
                        } else {
                            let r = !1,
                                a = Object.getOwnPropertyNames(o);
                            for (let l of this.outputNames)
                                if (a.indexOf(l) !== -1) {
                                    let p = o[l];
                                    (p === null || p instanceof Re) && ((r = !0), (s = !1), (u[l] = p));
                                }
                            if (r) {
                                if (typeof i == 'object' && i !== null) n = i;
                                else if (typeof i < 'u') throw new TypeError("'options' must be an object.");
                            } else n = o;
                        }
                    } else if (typeof o < 'u')
                        throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");
                    for (let r of this.inputNames)
                        if (typeof e[r] > 'u') throw new Error(`input '${r}' is missing in 'feeds'.`);
                    if (s) for (let r of this.outputNames) u[r] = null;
                    let d = await this.handler.run(e, u, n),
                        f = {};
                    for (let r in d)
                        if (Object.hasOwnProperty.call(d, r)) {
                            let a = d[r];
                            a instanceof Re ? (f[r] = a) : (f[r] = new Re(a.type, a.data, a.dims));
                        }
                    return sr(), f;
                }
                async release() {
                    return this.handler.dispose();
                }
                static async create(e, o, i, u) {
                    ar();
                    let n,
                        s = {};
                    if (typeof e == 'string') {
                        if (((n = e), typeof o == 'object' && o !== null)) s = o;
                        else if (typeof o < 'u') throw new TypeError("'options' must be an object.");
                    } else if (e instanceof Uint8Array) {
                        if (((n = e), typeof o == 'object' && o !== null)) s = o;
                        else if (typeof o < 'u') throw new TypeError("'options' must be an object.");
                    } else if (
                        e instanceof ArrayBuffer ||
                        (typeof SharedArrayBuffer < 'u' && e instanceof SharedArrayBuffer)
                    ) {
                        let r = e,
                            a = 0,
                            l = e.byteLength;
                        if (typeof o == 'object' && o !== null) s = o;
                        else if (typeof o == 'number') {
                            if (((a = o), !Number.isSafeInteger(a)))
                                throw new RangeError("'byteOffset' must be an integer.");
                            if (a < 0 || a >= r.byteLength)
                                throw new RangeError(`'byteOffset' is out of range [0, ${r.byteLength}).`);
                            if (((l = e.byteLength - a), typeof i == 'number')) {
                                if (((l = i), !Number.isSafeInteger(l)))
                                    throw new RangeError("'byteLength' must be an integer.");
                                if (l <= 0 || a + l > r.byteLength)
                                    throw new RangeError(`'byteLength' is out of range (0, ${r.byteLength - a}].`);
                                if (typeof u == 'object' && u !== null) s = u;
                                else if (typeof u < 'u') throw new TypeError("'options' must be an object.");
                            } else if (typeof i < 'u') throw new TypeError("'byteLength' must be a number.");
                        } else if (typeof o < 'u') throw new TypeError("'options' must be an object.");
                        n = new Uint8Array(r, a, l);
                    } else throw new TypeError("Unexpected argument[0]: must be 'path' or 'buffer'.");
                    let d = (s.executionProviders || []).map((r) => (typeof r == 'string' ? r : r.name)),
                        f = await (await Ln(d)).createInferenceSessionHandler(n, s);
                    return sr(), new Rs(f);
                }
                startProfiling() {
                    this.handler.startProfiling();
                }
                endProfiling() {
                    this.handler.endProfiling();
                }
                get inputNames() {
                    return this.handler.inputNames;
                }
                get outputNames() {
                    return this.handler.outputNames;
                }
            });
    }),
    Sd,
    hs = L(() => {
        ds(), (Sd = Bn);
    }),
    ms = L(() => {}),
    Ad,
    Nn,
    bs = L(() => {
        Fn(),
            kn(),
            (Ad =
                "Training backend could not be resolved. Make sure you're using the correct configuration & WebAssembly files."),
            (Nn = class Bs {
                constructor(e, o, i) {
                    (this.handler = e), (this.hasOptimizerModel = o), (this.hasEvalModel = i);
                }
                get trainingInputNames() {
                    return this.handler.inputNames;
                }
                get trainingOutputNames() {
                    return this.handler.outputNames;
                }
                get evalInputNames() {
                    if (this.hasEvalModel) return this.handler.evalInputNames;
                    throw new Error('This training session has no evalModel loaded.');
                }
                get evalOutputNames() {
                    if (this.hasEvalModel) return this.handler.evalOutputNames;
                    throw new Error('This training session has no evalModel loaded.');
                }
                static async create(e, o) {
                    let i = e.evalModel || '',
                        u = e.optimizerModel || '',
                        n = o || {},
                        s = (n.executionProviders || []).map((f) => (typeof f == 'string' ? f : f.name)),
                        d = await Ln(s);
                    if (d.createTrainingSessionHandler) {
                        let f = await d.createTrainingSessionHandler(e.checkpointState, e.trainModel, i, u, n);
                        return new Bs(f, !!e.optimizerModel, !!e.evalModel);
                    } else throw new Error(Ad);
                }
                typeNarrowingForRunStep(e, o, i, u, n) {
                    let s = {},
                        d = {};
                    if (typeof i != 'object' || i === null || i instanceof Re || Array.isArray(i))
                        throw new TypeError(
                            "'feeds' must be an object that use input names as keys and OnnxValue as corresponding values."
                        );
                    let f = !0;
                    if (typeof u == 'object') {
                        if (u === null) throw new TypeError('Unexpected argument[1]: cannot be null.');
                        if (u instanceof Re) throw new TypeError("'fetches' cannot be a Tensor");
                        if (Array.isArray(u)) {
                            if (u.length === 0) throw new TypeError("'fetches' cannot be an empty array.");
                            f = !1;
                            for (let r of u) {
                                if (typeof r != 'string')
                                    throw new TypeError("'fetches' must be a string array or an object.");
                                if (o.indexOf(r) === -1)
                                    throw new RangeError(`'fetches' contains invalid output name: ${r}.`);
                                s[r] = null;
                            }
                            if (typeof n == 'object' && n !== null) d = n;
                            else if (typeof n < 'u') throw new TypeError("'options' must be an object.");
                        } else {
                            let r = !1,
                                a = Object.getOwnPropertyNames(u);
                            for (let l of o)
                                if (a.indexOf(l) !== -1) {
                                    let p = u[l];
                                    (p === null || p instanceof Re) && ((r = !0), (f = !1), (s[l] = p));
                                }
                            if (r) {
                                if (typeof n == 'object' && n !== null) d = n;
                                else if (typeof n < 'u') throw new TypeError("'options' must be an object.");
                            } else d = u;
                        }
                    } else if (typeof u < 'u')
                        throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");
                    for (let r of e) if (typeof i[r] > 'u') throw new Error(`input '${r}' is missing in 'feeds'.`);
                    if (f) for (let r of o) s[r] = null;
                    return [s, d];
                }
                convertHandlerReturnTypeToMapOfTensors(e) {
                    let o = {};
                    for (let i in e)
                        if (Object.hasOwnProperty.call(e, i)) {
                            let u = e[i];
                            u instanceof Re ? (o[i] = u) : (o[i] = new Re(u.type, u.data, u.dims));
                        }
                    return o;
                }
                async lazyResetGrad() {
                    await this.handler.lazyResetGrad();
                }
                async runTrainStep(e, o, i) {
                    let [u, n] = this.typeNarrowingForRunStep(
                            this.trainingInputNames,
                            this.trainingOutputNames,
                            e,
                            o,
                            i
                        ),
                        s = await this.handler.runTrainStep(e, u, n);
                    return this.convertHandlerReturnTypeToMapOfTensors(s);
                }
                async runOptimizerStep(e) {
                    if (this.hasOptimizerModel) await this.handler.runOptimizerStep(e || {});
                    else throw new Error('This TrainingSession has no OptimizerModel loaded.');
                }
                async runEvalStep(e, o, i) {
                    if (this.hasEvalModel) {
                        let [u, n] = this.typeNarrowingForRunStep(this.evalInputNames, this.evalOutputNames, e, o, i),
                            s = await this.handler.runEvalStep(e, u, n);
                        return this.convertHandlerReturnTypeToMapOfTensors(s);
                    } else throw new Error('This TrainingSession has no EvalModel loaded.');
                }
                async getParametersSize(e = !0) {
                    return this.handler.getParametersSize(e);
                }
                async loadParametersBuffer(e, o = !0) {
                    let i = await this.getParametersSize(o);
                    if (e.length !== 4 * i)
                        throw new Error(
                            'Size of the buffer passed into loadParametersBuffer must match the number of parameters in the model. Please use getParametersSize method to check.'
                        );
                    return this.handler.loadParametersBuffer(e, o);
                }
                async getContiguousParameters(e = !0) {
                    return this.handler.getContiguousParameters(e);
                }
                async release() {
                    return this.handler.dispose();
                }
            });
    }),
    Pd,
    gs = L(() => {
        bs(), (Pd = Nn);
    }),
    Yo = {};
Pr(Yo, {
    InferenceSession: () => Sd,
    TRACE: () => cs,
    TRACE_FUNC_BEGIN: () => ar,
    TRACE_FUNC_END: () => sr,
    Tensor: () => Re,
    TrainingSession: () => Pd,
    env: () => Z,
    registerBackend: () => or,
});
var vt = L(() => {
    qa(), Ka(), hs(), kn(), jo(), ms(), gs();
});
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    if (e === void 0) return Dd(t);
    if (o === void 0) Rn(t, e);
    else if (typeof o == 'number' && i === void 0) Rn(t, e);
    else if (typeof o == 'string' && i === void 0) Rn(t, o, 1, e);
    else if (typeof o == 'string' && typeof i == 'number') Rn(t, o, i, e);
    else throw new TypeError('input is valid');
}
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    return {
        verbose: jt.verbose.bind(null, t),
        info: jt.info.bind(null, t),
        warning: jt.warning.bind(null, t),
        error: jt.error.bind(null, t),
        fatal: jt.fatal.bind(null, t),
    };
}
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    let u = en[i || ''] || en[''];
    Ts[t] < Ts[u.minimalSeverity] ||
        (u.logDateTime && (e = `${new Date().toISOString()}|${e}`), u.logSourceLocation, Ed[u.provider].log(t, e, i));
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    Ed,
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    zn,
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        (Xo = class {
            log(t, e, o) {}
        }),
            (Ko = class {
                log(t, e, o) {
                    console.log(`${this.color(t)} ${o ? '\x1B[35m' + o + '\x1B[0m ' : ''}${e}`);
                }
                color(t) {
                    switch (t) {
                        case 'verbose':
                            return '\x1B[34;40mv\x1B[0m';
                        case 'info':
                            return '\x1B[32mi\x1B[0m';
                        case 'warning':
                            return '\x1B[30;43mw\x1B[0m';
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                            return '\x1B[31;40me\x1B[0m';
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                            return '\x1B[101mf\x1B[0m';
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                            throw new Error(`unsupported severity: ${t}`);
                    }
                }
            }),
            (Ts = { verbose: 1e3, info: 2e3, warning: 4e3, error: 5e3, fatal: 6e3 }),
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            (xs = { provider: 'console', minimalSeverity: 'warning', logDateTime: !0, logSourceLocation: !1 }),
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            ((t) => {
                function e(r, a) {
                    t('verbose', r, a);
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                t.verbose = e;
                function o(r, a) {
                    t('info', r, a);
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                t.info = o;
                function i(r, a) {
                    t('warning', r, a);
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                t.warning = i;
                function u(r, a) {
                    t('error', r, a);
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                t.error = u;
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                    t('fatal', r, a);
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                t.fatal = n;
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                    (en = {}), d('', r || {});
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                t.reset = s;
                function d(r, a) {
                    if (r === '*') s(a);
                    else {
                        let l = en[r] || xs;
                        en[r] = {
                            provider: a.provider || l.provider,
                            minimalSeverity: a.minimalSeverity || l.minimalSeverity,
                            logDateTime: a.logDateTime === void 0 ? l.logDateTime : a.logDateTime,
                            logSourceLocation:
                                a.logSourceLocation === void 0 ? l.logSourceLocation : a.logSourceLocation,
                        };
                    }
                }
                t.set = d;
                function f(r) {
                    let a = {};
                    r.logLevel && (a.minimalSeverity = r.logLevel), d('', a);
                }
                t.setWithEnv = f;
            })((jt ||= {})),
            (ce = jt),
            (Gn = class {
                constructor(t, e, o, i, u, n) {
                    (this.category = t),
                        (this.name = e),
                        (this.startTime = o),
                        (this.endCallback = i),
                        (this.timer = u),
                        (this.ctx = n);
                }
                async end() {
                    return this.endCallback(this);
                }
                async checkTimer() {
                    if (this.ctx === void 0 || this.timer === void 0) throw new Error('No webgl timer found');
                    return this.ctx.endTimer(), this.ctx.waitForQueryAndGetTime(this.timer);
                }
            }),
            (Un = class {
                constructor(t, e, o, i) {
                    (this.category = t), (this.name = e), (this.startTime = o), (this.endTime = i);
                }
            }),
            (zn = class {
                constructor(t, e, o) {
                    (this._started = !1),
                        (this._flushPointer = 0),
                        (this._started = !1),
                        (this._maxNumberEvents = t === void 0 ? 1e4 : t),
                        (this._flushBatchSize = e === void 0 ? 10 : e),
                        (this._flushIntervalInMilliseconds = o === void 0 ? 5e3 : o);
                }
                static create(t) {
                    return t === void 0
                        ? new this()
                        : new this(t.maxNumberEvents, t.flushBatchSize, t.flushIntervalInMilliseconds);
                }
                start() {
                    (this._started = !0), (this._timingEvents = []), (this._flushTime = Mn()), (this._flushPointer = 0);
                }
                stop() {
                    for (this._started = !1; this._flushPointer < this._timingEvents.length; this._flushPointer++)
                        this.logOneEvent(this._timingEvents[this._flushPointer]);
                }
                event(t, e, o, i) {
                    let u = this._started ? this.begin(t, e, i) : void 0,
                        n = !1,
                        s = o();
                    if (s && typeof s.then == 'function')
                        return (
                            (n = !0),
                            new Promise((d, f) => {
                                s.then(
                                    async (r) => {
                                        u && (await u.end()), d(r);
                                    },
                                    async (r) => {
                                        u && (await u.end()), f(r);
                                    }
                                );
                            })
                        );
                    if (!n && u) {
                        let d = u.end();
                        if (d && typeof d.then == 'function')
                            return new Promise((f, r) => {
                                d.then(
                                    () => {
                                        f(s);
                                    },
                                    (a) => {
                                        r(a);
                                    }
                                );
                            });
                    }
                    return s;
                }
                begin(t, e, o) {
                    if (!this._started) throw new Error('profiler is not started yet');
                    if (o === void 0) {
                        let i = Mn();
                        return this.flush(i), new Gn(t, e, i, (u) => this.endSync(u));
                    } else {
                        let i = o.beginTimer();
                        return new Gn(t, e, 0, async (u) => this.end(u), i, o);
                    }
                }
                async end(t) {
                    let e = await t.checkTimer();
                    this._timingEvents.length < this._maxNumberEvents &&
                        (this._timingEvents.push(new Un(t.category, t.name, t.startTime, e)), this.flush(e));
                }
                endSync(t) {
                    let e = Mn();
                    this._timingEvents.length < this._maxNumberEvents &&
                        (this._timingEvents.push(new Un(t.category, t.name, t.startTime, e)), this.flush(e));
                }
                logOneEvent(t) {
                    ce.verbose(
                        `Profiler.${t.category}`,
                        `${(t.endTime - t.startTime).toFixed(2)}ms on event '${t.name}' at ${t.endTime.toFixed(2)}`
                    );
                }
                flush(t) {
                    if (
                        this._timingEvents.length - this._flushPointer >= this._flushBatchSize ||
                        t - this._flushTime >= this._flushIntervalInMilliseconds
                    ) {
                        for (
                            let e = this._flushPointer;
                            this._flushPointer < e + this._flushBatchSize &&
                            this._flushPointer < this._timingEvents.length;
                            this._flushPointer++
                        )
                            this.logOneEvent(this._timingEvents[this._flushPointer]);
                        this._flushTime = Mn();
                    }
                }
                get started() {
                    return this._started;
                }
            }),
            (Mn = typeof performance < 'u' && performance.now ? () => performance.now() : Date.now);
    });
function vs(t, e, o) {
    for (let i of o) {
        let u = i[0],
            n = i[1],
            s = i[2],
            d = i[3],
            f = i[4];
        if (t.opType === u) {
            for (let r of e)
                if ((r.domain === n || (r.domain === 'ai.onnx' && n === '')) && Ld(r.version, s))
                    return { opImpl: d, opInit: f };
        }
    }
    throw new TypeError(
        `cannot resolve operator '${t.opType}' with opsets: ${e
            .map((i) => `${i.domain || 'ai.onnx'} v${i.version}`)
            .join(', ')}`
    );
}
function Ld(t, e) {
    if (e.endsWith('+')) {
        let o = Number.parseInt(e.substring(0, e.length - 1), 10);
        return !isNaN(o) && o <= t;
    } else if (e.split('-').length === 2) {
        let o = e.split('-'),
            i = Number.parseInt(o[0], 10),
            u = Number.parseInt(o[1], 10);
        return !isNaN(i) && !isNaN(u) && i <= t && t <= u;
    } else return Number.parseInt(e, 10) === t;
}
var ws = L(() => {}),
    _s = me((t) => {
        t.__esModule = !0;
        var e = (function () {
            function o(i) {
                if (!i) throw new TypeError('Invalid argument; `value` has no value.');
                (this.value = o.EMPTY), i && o.isGuid(i) && (this.value = i);
            }
            return (
                (o.isGuid = function (i) {
                    var u = i.toString();
                    return i && (i instanceof o || o.validator.test(u));
                }),
                (o.create = function () {
                    return new o([o.gen(2), o.gen(1), o.gen(1), o.gen(1), o.gen(3)].join('-'));
                }),
                (o.createEmpty = function () {
                    return new o('emptyguid');
                }),
                (o.parse = function (i) {
                    return new o(i);
                }),
                (o.raw = function () {
                    return [o.gen(2), o.gen(1), o.gen(1), o.gen(1), o.gen(3)].join('-');
                }),
                (o.gen = function (i) {
                    for (var u = '', n = 0; n < i; n++)
                        u += (((1 + Math.random()) * 65536) | 0).toString(16).substring(1);
                    return u;
                }),
                (o.prototype.equals = function (i) {
                    return o.isGuid(i) && this.value === i.toString();
                }),
                (o.prototype.isEmpty = function () {
                    return this.value === o.EMPTY;
                }),
                (o.prototype.toString = function () {
                    return this.value;
                }),
                (o.prototype.toJSON = function () {
                    return { value: this.value };
                }),
                (o.validator = new RegExp('^[a-z0-9]{8}-[a-z0-9]{4}-[a-z0-9]{4}-[a-z0-9]{4}-[a-z0-9]{12}$', 'i')),
                (o.EMPTY = '00000000-0000-0000-0000-000000000000'),
                o
            );
        })();
        t.Guid = e;
    });
function be(t, e, o) {
    (this.low = t | 0), (this.high = e | 0), (this.unsigned = !!o);
}
function We(t) {
    return (t && t.__isLong__) === !0;
}
function Os(t) {
    var e = Math.clz32(t & -t);
    return t ? 31 - e : e;
}
function ur(t, e) {
    var o, i, u;
    return e
        ? ((t >>>= 0), (u = 0 <= t && t < 256) && ((i = Ss[t]), i) ? i : ((o = le(t, 0, !0)), u && (Ss[t] = o), o))
        : ((t |= 0),
          (u = -128 <= t && t < 128) && ((i = Is[t]), i) ? i : ((o = le(t, t < 0 ? -1 : 0, !1)), u && (Is[t] = o), o));
}
function ft(t, e) {
    if (isNaN(t)) return e ? Ut : wt;
    if (e) {
        if (t < 0) return Ut;
        if (t >= Ds) return $s;
    } else {
        if (t <= -Ps) return tt;
        if (t + 1 >= Ps) return Fs;
    }
    return t < 0 ? ft(-t, e).neg() : le(t % Lr | 0, (t / Lr) | 0, e);
}
function le(t, e, o) {
    return new be(t, e, o);
}
function Qo(t, e, o) {
    if (t.length === 0) throw Error('empty string');
    if (
        (typeof e == 'number' ? ((o = e), (e = !1)) : (e = !!e),
        t === 'NaN' || t === 'Infinity' || t === '+Infinity' || t === '-Infinity')
    )
        return e ? Ut : wt;
    if (((o = o || 10), o < 2 || 36 < o)) throw RangeError('radix');
    var i;
    if ((i = t.indexOf('-')) > 0) throw Error('interior hyphen');
    if (i === 0) return Qo(t.substring(1), e, o).neg();
    for (var u = ft(Vn(o, 8)), n = wt, s = 0; s < t.length; s += 8) {
        var d = Math.min(8, t.length - s),
            f = parseInt(t.substring(s, s + d), o);
        if (d < 8) {
            var r = ft(Vn(o, d));
            n = n.mul(r).add(ft(f));
        } else (n = n.mul(u)), (n = n.add(ft(f)));
    }
    return (n.unsigned = e), n;
}
function _t(t, e) {
    return typeof t == 'number'
        ? ft(t, e)
        : typeof t == 'string'
        ? Qo(t, e)
        : le(t.low, t.high, typeof e == 'boolean' ? e : t.unsigned);
}
var lt,
    Is,
    Ss,
    Vn,
    As,
    $d,
    Lr,
    Ds,
    Ps,
    Es,
    wt,
    Ut,
    Dr,
    Ls,
    Zo,
    Fs,
    $s,
    tt,
    $,
    zt,
    ei = L(() => {
        lt = null;
        try {
            lt = new WebAssembly.Instance(
                new WebAssembly.Module(
                    new Uint8Array([
                        0, 97, 115, 109, 1, 0, 0, 0, 1, 13, 2, 96, 0, 1, 127, 96, 4, 127, 127, 127, 127, 1, 127, 3, 7,
                        6, 0, 1, 1, 1, 1, 1, 6, 6, 1, 127, 1, 65, 0, 11, 7, 50, 6, 3, 109, 117, 108, 0, 1, 5, 100, 105,
                        118, 95, 115, 0, 2, 5, 100, 105, 118, 95, 117, 0, 3, 5, 114, 101, 109, 95, 115, 0, 4, 5, 114,
                        101, 109, 95, 117, 0, 5, 8, 103, 101, 116, 95, 104, 105, 103, 104, 0, 0, 10, 191, 1, 6, 4, 0,
                        35, 0, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66,
                        32, 134, 132, 126, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173,
                        32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 127, 34, 4, 66, 32, 135,
                        167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173,
                        32, 3, 173, 66, 32, 134, 132, 128, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1,
                        126, 32, 0, 173, 32, 1, 173, 66, 32, 134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 129,
                        34, 4, 66, 32, 135, 167, 36, 0, 32, 4, 167, 11, 36, 1, 1, 126, 32, 0, 173, 32, 1, 173, 66, 32,
                        134, 132, 32, 2, 173, 32, 3, 173, 66, 32, 134, 132, 130, 34, 4, 66, 32, 135, 167, 36, 0, 32, 4,
                        167, 11,
                    ])
                ),
                {}
            ).exports;
        } catch {}
        be.prototype.__isLong__,
            Object.defineProperty(be.prototype, '__isLong__', { value: !0 }),
            (be.isLong = We),
            (Is = {}),
            (Ss = {}),
            (be.fromInt = ur),
            (be.fromNumber = ft),
            (be.fromBits = le),
            (Vn = Math.pow),
            (be.fromString = Qo),
            (be.fromValue = _t),
            (As = 65536),
            ($d = 1 << 24),
            (Lr = As * As),
            (Ds = Lr * Lr),
            (Ps = Ds / 2),
            (Es = ur($d)),
            (wt = ur(0)),
            (be.ZERO = wt),
            (Ut = ur(0, !0)),
            (be.UZERO = Ut),
            (Dr = ur(1)),
            (be.ONE = Dr),
            (Ls = ur(1, !0)),
            (be.UONE = Ls),
            (Zo = ur(-1)),
            (be.NEG_ONE = Zo),
            (Fs = le(-1, 2147483647, !1)),
            (be.MAX_VALUE = Fs),
            ($s = le(-1, -1, !0)),
            (be.MAX_UNSIGNED_VALUE = $s),
            (tt = le(0, -2147483648, !1)),
            (be.MIN_VALUE = tt),
            ($ = be.prototype),
            ($.toInt = function () {
                return this.unsigned ? this.low >>> 0 : this.low;
            }),
            ($.toNumber = function () {
                return this.unsigned ? (this.high >>> 0) * Lr + (this.low >>> 0) : this.high * Lr + (this.low >>> 0);
            }),
            ($.toString = function (t) {
                if (((t = t || 10), t < 2 || 36 < t)) throw RangeError('radix');
                if (this.isZero()) return '0';
                if (this.isNegative())
                    if (this.eq(tt)) {
                        var e = ft(t),
                            o = this.div(e),
                            i = o.mul(e).sub(this);
                        return o.toString(t) + i.toInt().toString(t);
                    } else return '-' + this.neg().toString(t);
                for (var u = ft(Vn(t, 6), this.unsigned), n = this, s = ''; ; ) {
                    var d = n.div(u),
                        f = n.sub(d.mul(u)).toInt() >>> 0,
                        r = f.toString(t);
                    if (((n = d), n.isZero())) return r + s;
                    for (; r.length < 6; ) r = '0' + r;
                    s = '' + r + s;
                }
            }),
            ($.getHighBits = function () {
                return this.high;
            }),
            ($.getHighBitsUnsigned = function () {
                return this.high >>> 0;
            }),
            ($.getLowBits = function () {
                return this.low;
            }),
            ($.getLowBitsUnsigned = function () {
                return this.low >>> 0;
            }),
            ($.getNumBitsAbs = function () {
                if (this.isNegative()) return this.eq(tt) ? 64 : this.neg().getNumBitsAbs();
                for (var t = this.high != 0 ? this.high : this.low, e = 31; e > 0 && !(t & (1 << e)); e--);
                return this.high != 0 ? e + 33 : e + 1;
            }),
            ($.isZero = function () {
                return this.high === 0 && this.low === 0;
            }),
            ($.eqz = $.isZero),
            ($.isNegative = function () {
                return !this.unsigned && this.high < 0;
            }),
            ($.isPositive = function () {
                return this.unsigned || this.high >= 0;
            }),
            ($.isOdd = function () {
                return (this.low & 1) === 1;
            }),
            ($.isEven = function () {
                return (this.low & 1) === 0;
            }),
            ($.equals = function (t) {
                return (
                    We(t) || (t = _t(t)),
                    this.unsigned !== t.unsigned && this.high >>> 31 === 1 && t.high >>> 31 === 1
                        ? !1
                        : this.high === t.high && this.low === t.low
                );
            }),
            ($.eq = $.equals),
            ($.notEquals = function (t) {
                return !this.eq(t);
            }),
            ($.neq = $.notEquals),
            ($.ne = $.notEquals),
            ($.lessThan = function (t) {
                return this.comp(t) < 0;
            }),
            ($.lt = $.lessThan),
            ($.lessThanOrEqual = function (t) {
                return this.comp(t) <= 0;
            }),
            ($.lte = $.lessThanOrEqual),
            ($.le = $.lessThanOrEqual),
            ($.greaterThan = function (t) {
                return this.comp(t) > 0;
            }),
            ($.gt = $.greaterThan),
            ($.greaterThanOrEqual = function (t) {
                return this.comp(t) >= 0;
            }),
            ($.gte = $.greaterThanOrEqual),
            ($.ge = $.greaterThanOrEqual),
            ($.compare = function (t) {
                if ((We(t) || (t = _t(t)), this.eq(t))) return 0;
                var e = this.isNegative(),
                    o = t.isNegative();
                return e && !o
                    ? -1
                    : !e && o
                    ? 1
                    : this.unsigned
                    ? t.high >>> 0 > this.high >>> 0 || (t.high === this.high && t.low >>> 0 > this.low >>> 0)
                        ? -1
                        : 1
                    : this.sub(t).isNegative()
                    ? -1
                    : 1;
            }),
            ($.comp = $.compare),
            ($.negate = function () {
                return !this.unsigned && this.eq(tt) ? tt : this.not().add(Dr);
            }),
            ($.neg = $.negate),
            ($.add = function (t) {
                We(t) || (t = _t(t));
                var e = this.high >>> 16,
                    o = this.high & 65535,
                    i = this.low >>> 16,
                    u = this.low & 65535,
                    n = t.high >>> 16,
                    s = t.high & 65535,
                    d = t.low >>> 16,
                    f = t.low & 65535,
                    r = 0,
                    a = 0,
                    l = 0,
                    p = 0;
                return (
                    (p += u + f),
                    (l += p >>> 16),
                    (p &= 65535),
                    (l += i + d),
                    (a += l >>> 16),
                    (l &= 65535),
                    (a += o + s),
                    (r += a >>> 16),
                    (a &= 65535),
                    (r += e + n),
                    (r &= 65535),
                    le((l << 16) | p, (r << 16) | a, this.unsigned)
                );
            }),
            ($.subtract = function (t) {
                return We(t) || (t = _t(t)), this.add(t.neg());
            }),
            ($.sub = $.subtract),
            ($.multiply = function (t) {
                if (this.isZero()) return this;
                if ((We(t) || (t = _t(t)), lt)) {
                    var e = lt.mul(this.low, this.high, t.low, t.high);
                    return le(e, lt.get_high(), this.unsigned);
                }
                if (t.isZero()) return this.unsigned ? Ut : wt;
                if (this.eq(tt)) return t.isOdd() ? tt : wt;
                if (t.eq(tt)) return this.isOdd() ? tt : wt;
                if (this.isNegative()) return t.isNegative() ? this.neg().mul(t.neg()) : this.neg().mul(t).neg();
                if (t.isNegative()) return this.mul(t.neg()).neg();
                if (this.lt(Es) && t.lt(Es)) return ft(this.toNumber() * t.toNumber(), this.unsigned);
                var o = this.high >>> 16,
                    i = this.high & 65535,
                    u = this.low >>> 16,
                    n = this.low & 65535,
                    s = t.high >>> 16,
                    d = t.high & 65535,
                    f = t.low >>> 16,
                    r = t.low & 65535,
                    a = 0,
                    l = 0,
                    p = 0,
                    m = 0;
                return (
                    (m += n * r),
                    (p += m >>> 16),
                    (m &= 65535),
                    (p += u * r),
                    (l += p >>> 16),
                    (p &= 65535),
                    (p += n * f),
                    (l += p >>> 16),
                    (p &= 65535),
                    (l += i * r),
                    (a += l >>> 16),
                    (l &= 65535),
                    (l += u * f),
                    (a += l >>> 16),
                    (l &= 65535),
                    (l += n * d),
                    (a += l >>> 16),
                    (l &= 65535),
                    (a += o * r + i * f + u * d + n * s),
                    (a &= 65535),
                    le((p << 16) | m, (a << 16) | l, this.unsigned)
                );
            }),
            ($.mul = $.multiply),
            ($.divide = function (t) {
                if ((We(t) || (t = _t(t)), t.isZero())) throw Error('division by zero');
                if (lt) {
                    if (!this.unsigned && this.high === -2147483648 && t.low === -1 && t.high === -1) return this;
                    var e = (this.unsigned ? lt.div_u : lt.div_s)(this.low, this.high, t.low, t.high);
                    return le(e, lt.get_high(), this.unsigned);
                }
                if (this.isZero()) return this.unsigned ? Ut : wt;
                var o, i, u;
                if (this.unsigned) {
                    if ((t.unsigned || (t = t.toUnsigned()), t.gt(this))) return Ut;
                    if (t.gt(this.shru(1))) return Ls;
                    u = Ut;
                } else {
                    if (this.eq(tt)) {
                        if (t.eq(Dr) || t.eq(Zo)) return tt;
                        if (t.eq(tt)) return Dr;
                        var n = this.shr(1);
                        return (
                            (o = n.div(t).shl(1)),
                            o.eq(wt) ? (t.isNegative() ? Dr : Zo) : ((i = this.sub(t.mul(o))), (u = o.add(i.div(t))), u)
                        );
                    } else if (t.eq(tt)) return this.unsigned ? Ut : wt;
                    if (this.isNegative()) return t.isNegative() ? this.neg().div(t.neg()) : this.neg().div(t).neg();
                    if (t.isNegative()) return this.div(t.neg()).neg();
                    u = wt;
                }
                for (i = this; i.gte(t); ) {
                    o = Math.max(1, Math.floor(i.toNumber() / t.toNumber()));
                    for (
                        var s = Math.ceil(Math.log(o) / Math.LN2),
                            d = s <= 48 ? 1 : Vn(2, s - 48),
                            f = ft(o),
                            r = f.mul(t);
                        r.isNegative() || r.gt(i);

                    )
                        (o -= d), (f = ft(o, this.unsigned)), (r = f.mul(t));
                    f.isZero() && (f = Dr), (u = u.add(f)), (i = i.sub(r));
                }
                return u;
            }),
            ($.div = $.divide),
            ($.modulo = function (t) {
                if ((We(t) || (t = _t(t)), lt)) {
                    var e = (this.unsigned ? lt.rem_u : lt.rem_s)(this.low, this.high, t.low, t.high);
                    return le(e, lt.get_high(), this.unsigned);
                }
                return this.sub(this.div(t).mul(t));
            }),
            ($.mod = $.modulo),
            ($.rem = $.modulo),
            ($.not = function () {
                return le(~this.low, ~this.high, this.unsigned);
            }),
            ($.countLeadingZeros = function () {
                return this.high ? Math.clz32(this.high) : Math.clz32(this.low) + 32;
            }),
            ($.clz = $.countLeadingZeros),
            ($.countTrailingZeros = function () {
                return this.low ? Os(this.low) : Os(this.high) + 32;
            }),
            ($.ctz = $.countTrailingZeros),
            ($.and = function (t) {
                return We(t) || (t = _t(t)), le(this.low & t.low, this.high & t.high, this.unsigned);
            }),
            ($.or = function (t) {
                return We(t) || (t = _t(t)), le(this.low | t.low, this.high | t.high, this.unsigned);
            }),
            ($.xor = function (t) {
                return We(t) || (t = _t(t)), le(this.low ^ t.low, this.high ^ t.high, this.unsigned);
            }),
            ($.shiftLeft = function (t) {
                return (
                    We(t) && (t = t.toInt()),
                    (t &= 63) === 0
                        ? this
                        : t < 32
                        ? le(this.low << t, (this.high << t) | (this.low >>> (32 - t)), this.unsigned)
                        : le(0, this.low << (t - 32), this.unsigned)
                );
            }),
            ($.shl = $.shiftLeft),
            ($.shiftRight = function (t) {
                return (
                    We(t) && (t = t.toInt()),
                    (t &= 63) === 0
                        ? this
                        : t < 32
                        ? le((this.low >>> t) | (this.high << (32 - t)), this.high >> t, this.unsigned)
                        : le(this.high >> (t - 32), this.high >= 0 ? 0 : -1, this.unsigned)
                );
            }),
            ($.shr = $.shiftRight),
            ($.shiftRightUnsigned = function (t) {
                return (
                    We(t) && (t = t.toInt()),
                    (t &= 63) === 0
                        ? this
                        : t < 32
                        ? le((this.low >>> t) | (this.high << (32 - t)), this.high >>> t, this.unsigned)
                        : t === 32
                        ? le(this.high, 0, this.unsigned)
                        : le(this.high >>> (t - 32), 0, this.unsigned)
                );
            }),
            ($.shru = $.shiftRightUnsigned),
            ($.shr_u = $.shiftRightUnsigned),
            ($.rotateLeft = function (t) {
                var e;
                return (
                    We(t) && (t = t.toInt()),
                    (t &= 63) === 0
                        ? this
                        : t === 32
                        ? le(this.high, this.low, this.unsigned)
                        : t < 32
                        ? ((e = 32 - t),
                          le((this.low << t) | (this.high >>> e), (this.high << t) | (this.low >>> e), this.unsigned))
                        : ((t -= 32),
                          (e = 32 - t),
                          le((this.high << t) | (this.low >>> e), (this.low << t) | (this.high >>> e), this.unsigned))
                );
            }),
            ($.rotl = $.rotateLeft),
            ($.rotateRight = function (t) {
                var e;
                return (
                    We(t) && (t = t.toInt()),
                    (t &= 63) === 0
                        ? this
                        : t === 32
                        ? le(this.high, this.low, this.unsigned)
                        : t < 32
                        ? ((e = 32 - t),
                          le((this.high << e) | (this.low >>> t), (this.low << e) | (this.high >>> t), this.unsigned))
                        : ((t -= 32),
                          (e = 32 - t),
                          le((this.low << e) | (this.high >>> t), (this.high << e) | (this.low >>> t), this.unsigned))
                );
            }),
            ($.rotr = $.rotateRight),
            ($.toSigned = function () {
                return this.unsigned ? le(this.low, this.high, !1) : this;
            }),
            ($.toUnsigned = function () {
                return this.unsigned ? this : le(this.low, this.high, !0);
            }),
            ($.toBytes = function (t) {
                return t ? this.toBytesLE() : this.toBytesBE();
            }),
            ($.toBytesLE = function () {
                var t = this.high,
                    e = this.low;
                return [
                    e & 255,
                    (e >>> 8) & 255,
                    (e >>> 16) & 255,
                    e >>> 24,
                    t & 255,
                    (t >>> 8) & 255,
                    (t >>> 16) & 255,
                    t >>> 24,
                ];
            }),
            ($.toBytesBE = function () {
                var t = this.high,
                    e = this.low;
                return [
                    t >>> 24,
                    (t >>> 16) & 255,
                    (t >>> 8) & 255,
                    t & 255,
                    e >>> 24,
                    (e >>> 16) & 255,
                    (e >>> 8) & 255,
                    e & 255,
                ];
            }),
            (be.fromBytes = function (t, e, o) {
                return o ? be.fromBytesLE(t, e) : be.fromBytesBE(t, e);
            }),
            (be.fromBytesLE = function (t, e) {
                return new be(
                    t[0] | (t[1] << 8) | (t[2] << 16) | (t[3] << 24),
                    t[4] | (t[5] << 8) | (t[6] << 16) | (t[7] << 24),
                    e
                );
            }),
            (be.fromBytesBE = function (t, e) {
                return new be(
                    (t[4] << 24) | (t[5] << 16) | (t[6] << 8) | t[7],
                    (t[0] << 24) | (t[1] << 16) | (t[2] << 8) | t[3],
                    e
                );
            }),
            (zt = be);
    }),
    _,
    Wn = L(() => {
        (_ = {}),
            _.Offset,
            _.Table,
            (_.SIZEOF_SHORT = 2),
            (_.SIZEOF_INT = 4),
            (_.FILE_IDENTIFIER_LENGTH = 4),
            (_.SIZE_PREFIX_LENGTH = 4),
            (_.Encoding = { UTF8_BYTES: 1, UTF16_STRING: 2 }),
            (_.int32 = new Int32Array(2)),
            (_.float32 = new Float32Array(_.int32.buffer)),
            (_.float64 = new Float64Array(_.int32.buffer)),
            (_.isLittleEndian = new Uint16Array(new Uint8Array([1, 0]).buffer)[0] === 1),
            (_.Long = function (t, e) {
                (this.low = t | 0), (this.high = e | 0);
            }),
            (_.Long.create = function (t, e) {
                return t == 0 && e == 0 ? _.Long.ZERO : new _.Long(t, e);
            }),
            (_.Long.prototype.toFloat64 = function () {
                return (this.low >>> 0) + this.high * 4294967296;
            }),
            (_.Long.prototype.equals = function (t) {
                return this.low == t.low && this.high == t.high;
            }),
            (_.Long.ZERO = new _.Long(0, 0)),
            (_.Builder = function (t) {
                if (t) var e = t;
                else var e = 1024;
                (this.bb = _.ByteBuffer.allocate(e)),
                    (this.space = e),
                    (this.minalign = 1),
                    (this.vtable = null),
                    (this.vtable_in_use = 0),
                    (this.isNested = !1),
                    (this.object_start = 0),
                    (this.vtables = []),
                    (this.vector_num_elems = 0),
                    (this.force_defaults = !1);
            }),
            (_.Builder.prototype.clear = function () {
                this.bb.clear(),
                    (this.space = this.bb.capacity()),
                    (this.minalign = 1),
                    (this.vtable = null),
                    (this.vtable_in_use = 0),
                    (this.isNested = !1),
                    (this.object_start = 0),
                    (this.vtables = []),
                    (this.vector_num_elems = 0),
                    (this.force_defaults = !1);
            }),
            (_.Builder.prototype.forceDefaults = function (t) {
                this.force_defaults = t;
            }),
            (_.Builder.prototype.dataBuffer = function () {
                return this.bb;
            }),
            (_.Builder.prototype.asUint8Array = function () {
                return this.bb.bytes().subarray(this.bb.position(), this.bb.position() + this.offset());
            }),
            (_.Builder.prototype.prep = function (t, e) {
                t > this.minalign && (this.minalign = t);
                for (var o = (~(this.bb.capacity() - this.space + e) + 1) & (t - 1); this.space < o + t + e; ) {
                    var i = this.bb.capacity();
                    (this.bb = _.Builder.growByteBuffer(this.bb)), (this.space += this.bb.capacity() - i);
                }
                this.pad(o);
            }),
            (_.Builder.prototype.pad = function (t) {
                for (var e = 0; e < t; e++) this.bb.writeInt8(--this.space, 0);
            }),
            (_.Builder.prototype.writeInt8 = function (t) {
                this.bb.writeInt8((this.space -= 1), t);
            }),
            (_.Builder.prototype.writeInt16 = function (t) {
                this.bb.writeInt16((this.space -= 2), t);
            }),
            (_.Builder.prototype.writeInt32 = function (t) {
                this.bb.writeInt32((this.space -= 4), t);
            }),
            (_.Builder.prototype.writeInt64 = function (t) {
                this.bb.writeInt64((this.space -= 8), t);
            }),
            (_.Builder.prototype.writeFloat32 = function (t) {
                this.bb.writeFloat32((this.space -= 4), t);
            }),
            (_.Builder.prototype.writeFloat64 = function (t) {
                this.bb.writeFloat64((this.space -= 8), t);
            }),
            (_.Builder.prototype.addInt8 = function (t) {
                this.prep(1, 0), this.writeInt8(t);
            }),
            (_.Builder.prototype.addInt16 = function (t) {
                this.prep(2, 0), this.writeInt16(t);
            }),
            (_.Builder.prototype.addInt32 = function (t) {
                this.prep(4, 0), this.writeInt32(t);
            }),
            (_.Builder.prototype.addInt64 = function (t) {
                this.prep(8, 0), this.writeInt64(t);
            }),
            (_.Builder.prototype.addFloat32 = function (t) {
                this.prep(4, 0), this.writeFloat32(t);
            }),
            (_.Builder.prototype.addFloat64 = function (t) {
                this.prep(8, 0), this.writeFloat64(t);
            }),
            (_.Builder.prototype.addFieldInt8 = function (t, e, o) {
                (this.force_defaults || e != o) && (this.addInt8(e), this.slot(t));
            }),
            (_.Builder.prototype.addFieldInt16 = function (t, e, o) {
                (this.force_defaults || e != o) && (this.addInt16(e), this.slot(t));
            }),
            (_.Builder.prototype.addFieldInt32 = function (t, e, o) {
                (this.force_defaults || e != o) && (this.addInt32(e), this.slot(t));
            }),
            (_.Builder.prototype.addFieldInt64 = function (t, e, o) {
                (this.force_defaults || !e.equals(o)) && (this.addInt64(e), this.slot(t));
            }),
            (_.Builder.prototype.addFieldFloat32 = function (t, e, o) {
                (this.force_defaults || e != o) && (this.addFloat32(e), this.slot(t));
            }),
            (_.Builder.prototype.addFieldFloat64 = function (t, e, o) {
                (this.force_defaults || e != o) && (this.addFloat64(e), this.slot(t));
            }),
            (_.Builder.prototype.addFieldOffset = function (t, e, o) {
                (this.force_defaults || e != o) && (this.addOffset(e), this.slot(t));
            }),
            (_.Builder.prototype.addFieldStruct = function (t, e, o) {
                e != o && (this.nested(e), this.slot(t));
            }),
            (_.Builder.prototype.nested = function (t) {
                if (t != this.offset()) throw new Error('FlatBuffers: struct must be serialized inline.');
            }),
            (_.Builder.prototype.notNested = function () {
                if (this.isNested) throw new Error('FlatBuffers: object serialization must not be nested.');
            }),
            (_.Builder.prototype.slot = function (t) {
                this.vtable[t] = this.offset();
            }),
            (_.Builder.prototype.offset = function () {
                return this.bb.capacity() - this.space;
            }),
            (_.Builder.growByteBuffer = function (t) {
                var e = t.capacity();
                if (e & 3221225472) throw new Error('FlatBuffers: cannot grow buffer beyond 2 gigabytes.');
                var o = e << 1,
                    i = _.ByteBuffer.allocate(o);
                return i.setPosition(o - e), i.bytes().set(t.bytes(), o - e), i;
            }),
            (_.Builder.prototype.addOffset = function (t) {
                this.prep(_.SIZEOF_INT, 0), this.writeInt32(this.offset() - t + _.SIZEOF_INT);
            }),
            (_.Builder.prototype.startObject = function (t) {
                this.notNested(), this.vtable == null && (this.vtable = []), (this.vtable_in_use = t);
                for (var e = 0; e < t; e++) this.vtable[e] = 0;
                (this.isNested = !0), (this.object_start = this.offset());
            }),
            (_.Builder.prototype.endObject = function () {
                if (this.vtable == null || !this.isNested)
                    throw new Error('FlatBuffers: endObject called without startObject');
                this.addInt32(0);
                for (var t = this.offset(), e = this.vtable_in_use - 1; e >= 0 && this.vtable[e] == 0; e--);
                for (var o = e + 1; e >= 0; e--) this.addInt16(this.vtable[e] != 0 ? t - this.vtable[e] : 0);
                var i = 2;
                this.addInt16(t - this.object_start);
                var u = (o + i) * _.SIZEOF_SHORT;
                this.addInt16(u);
                var n = 0,
                    s = this.space;
                e: for (e = 0; e < this.vtables.length; e++) {
                    var d = this.bb.capacity() - this.vtables[e];
                    if (u == this.bb.readInt16(d)) {
                        for (var f = _.SIZEOF_SHORT; f < u; f += _.SIZEOF_SHORT)
                            if (this.bb.readInt16(s + f) != this.bb.readInt16(d + f)) continue e;
                        n = this.vtables[e];
                        break;
                    }
                }
                return (
                    n
                        ? ((this.space = this.bb.capacity() - t), this.bb.writeInt32(this.space, n - t))
                        : (this.vtables.push(this.offset()),
                          this.bb.writeInt32(this.bb.capacity() - t, this.offset() - t)),
                    (this.isNested = !1),
                    t
                );
            }),
            (_.Builder.prototype.finish = function (t, e, o) {
                var i = o ? _.SIZE_PREFIX_LENGTH : 0;
                if (e) {
                    var u = e;
                    if (
                        (this.prep(this.minalign, _.SIZEOF_INT + _.FILE_IDENTIFIER_LENGTH + i),
                        u.length != _.FILE_IDENTIFIER_LENGTH)
                    )
                        throw new Error('FlatBuffers: file identifier must be length ' + _.FILE_IDENTIFIER_LENGTH);
                    for (var n = _.FILE_IDENTIFIER_LENGTH - 1; n >= 0; n--) this.writeInt8(u.charCodeAt(n));
                }
                this.prep(this.minalign, _.SIZEOF_INT + i),
                    this.addOffset(t),
                    i && this.addInt32(this.bb.capacity() - this.space),
                    this.bb.setPosition(this.space);
            }),
            (_.Builder.prototype.finishSizePrefixed = function (t, e) {
                this.finish(t, e, !0);
            }),
            (_.Builder.prototype.requiredField = function (t, e) {
                var o = this.bb.capacity() - t,
                    i = o - this.bb.readInt32(o),
                    u = this.bb.readInt16(i + e) != 0;
                if (!u) throw new Error('FlatBuffers: field ' + e + ' must be set');
            }),
            (_.Builder.prototype.startVector = function (t, e, o) {
                this.notNested(), (this.vector_num_elems = e), this.prep(_.SIZEOF_INT, t * e), this.prep(o, t * e);
            }),
            (_.Builder.prototype.endVector = function () {
                return this.writeInt32(this.vector_num_elems), this.offset();
            }),
            (_.Builder.prototype.createString = function (t) {
                if (t instanceof Uint8Array) var e = t;
                else
                    for (var e = [], o = 0; o < t.length; ) {
                        var i,
                            u = t.charCodeAt(o++);
                        if (u < 55296 || u >= 56320) i = u;
                        else {
                            var n = t.charCodeAt(o++);
                            i = (u << 10) + n + -56613888;
                        }
                        i < 128
                            ? e.push(i)
                            : (i < 2048
                                  ? e.push(((i >> 6) & 31) | 192)
                                  : (i < 65536
                                        ? e.push(((i >> 12) & 15) | 224)
                                        : e.push(((i >> 18) & 7) | 240, ((i >> 12) & 63) | 128),
                                    e.push(((i >> 6) & 63) | 128)),
                              e.push((i & 63) | 128));
                    }
                this.addInt8(0), this.startVector(1, e.length, 1), this.bb.setPosition((this.space -= e.length));
                for (var o = 0, s = this.space, d = this.bb.bytes(); o < e.length; o++) d[s++] = e[o];
                return this.endVector();
            }),
            (_.Builder.prototype.createLong = function (t, e) {
                return _.Long.create(t, e);
            }),
            (_.ByteBuffer = function (t) {
                (this.bytes_ = t), (this.position_ = 0);
            }),
            (_.ByteBuffer.allocate = function (t) {
                return new _.ByteBuffer(new Uint8Array(t));
            }),
            (_.ByteBuffer.prototype.clear = function () {
                this.position_ = 0;
            }),
            (_.ByteBuffer.prototype.bytes = function () {
                return this.bytes_;
            }),
            (_.ByteBuffer.prototype.position = function () {
                return this.position_;
            }),
            (_.ByteBuffer.prototype.setPosition = function (t) {
                this.position_ = t;
            }),
            (_.ByteBuffer.prototype.capacity = function () {
                return this.bytes_.length;
            }),
            (_.ByteBuffer.prototype.readInt8 = function (t) {
                return (this.readUint8(t) << 24) >> 24;
            }),
            (_.ByteBuffer.prototype.readUint8 = function (t) {
                return this.bytes_[t];
            }),
            (_.ByteBuffer.prototype.readInt16 = function (t) {
                return (this.readUint16(t) << 16) >> 16;
            }),
            (_.ByteBuffer.prototype.readUint16 = function (t) {
                return this.bytes_[t] | (this.bytes_[t + 1] << 8);
            }),
            (_.ByteBuffer.prototype.readInt32 = function (t) {
                return (
                    this.bytes_[t] | (this.bytes_[t + 1] << 8) | (this.bytes_[t + 2] << 16) | (this.bytes_[t + 3] << 24)
                );
            }),
            (_.ByteBuffer.prototype.readUint32 = function (t) {
                return this.readInt32(t) >>> 0;
            }),
            (_.ByteBuffer.prototype.readInt64 = function (t) {
                return new _.Long(this.readInt32(t), this.readInt32(t + 4));
            }),
            (_.ByteBuffer.prototype.readUint64 = function (t) {
                return new _.Long(this.readUint32(t), this.readUint32(t + 4));
            }),
            (_.ByteBuffer.prototype.readFloat32 = function (t) {
                return (_.int32[0] = this.readInt32(t)), _.float32[0];
            }),
            (_.ByteBuffer.prototype.readFloat64 = function (t) {
                return (
                    (_.int32[_.isLittleEndian ? 0 : 1] = this.readInt32(t)),
                    (_.int32[_.isLittleEndian ? 1 : 0] = this.readInt32(t + 4)),
                    _.float64[0]
                );
            }),
            (_.ByteBuffer.prototype.writeInt8 = function (t, e) {
                this.bytes_[t] = e;
            }),
            (_.ByteBuffer.prototype.writeUint8 = function (t, e) {
                this.bytes_[t] = e;
            }),
            (_.ByteBuffer.prototype.writeInt16 = function (t, e) {
                (this.bytes_[t] = e), (this.bytes_[t + 1] = e >> 8);
            }),
            (_.ByteBuffer.prototype.writeUint16 = function (t, e) {
                (this.bytes_[t] = e), (this.bytes_[t + 1] = e >> 8);
            }),
            (_.ByteBuffer.prototype.writeInt32 = function (t, e) {
                (this.bytes_[t] = e),
                    (this.bytes_[t + 1] = e >> 8),
                    (this.bytes_[t + 2] = e >> 16),
                    (this.bytes_[t + 3] = e >> 24);
            }),
            (_.ByteBuffer.prototype.writeUint32 = function (t, e) {
                (this.bytes_[t] = e),
                    (this.bytes_[t + 1] = e >> 8),
                    (this.bytes_[t + 2] = e >> 16),
                    (this.bytes_[t + 3] = e >> 24);
            }),
            (_.ByteBuffer.prototype.writeInt64 = function (t, e) {
                this.writeInt32(t, e.low), this.writeInt32(t + 4, e.high);
            }),
            (_.ByteBuffer.prototype.writeUint64 = function (t, e) {
                this.writeUint32(t, e.low), this.writeUint32(t + 4, e.high);
            }),
            (_.ByteBuffer.prototype.writeFloat32 = function (t, e) {
                (_.float32[0] = e), this.writeInt32(t, _.int32[0]);
            }),
            (_.ByteBuffer.prototype.writeFloat64 = function (t, e) {
                (_.float64[0] = e),
                    this.writeInt32(t, _.int32[_.isLittleEndian ? 0 : 1]),
                    this.writeInt32(t + 4, _.int32[_.isLittleEndian ? 1 : 0]);
            }),
            (_.ByteBuffer.prototype.getBufferIdentifier = function () {
                if (this.bytes_.length < this.position_ + _.SIZEOF_INT + _.FILE_IDENTIFIER_LENGTH)
                    throw new Error('FlatBuffers: ByteBuffer is too short to contain an identifier.');
                for (var t = '', e = 0; e < _.FILE_IDENTIFIER_LENGTH; e++)
                    t += String.fromCharCode(this.readInt8(this.position_ + _.SIZEOF_INT + e));
                return t;
            }),
            (_.ByteBuffer.prototype.__offset = function (t, e) {
                var o = t - this.readInt32(t);
                return e < this.readInt16(o) ? this.readInt16(o + e) : 0;
            }),
            (_.ByteBuffer.prototype.__union = function (t, e) {
                return (t.bb_pos = e + this.readInt32(e)), (t.bb = this), t;
            }),
            (_.ByteBuffer.prototype.__string = function (t, e) {
                t += this.readInt32(t);
                var o = this.readInt32(t),
                    i = '',
                    u = 0;
                if (((t += _.SIZEOF_INT), e === _.Encoding.UTF8_BYTES)) return this.bytes_.subarray(t, t + o);
                for (; u < o; ) {
                    var n,
                        s = this.readUint8(t + u++);
                    if (s < 192) n = s;
                    else {
                        var d = this.readUint8(t + u++);
                        if (s < 224) n = ((s & 31) << 6) | (d & 63);
                        else {
                            var f = this.readUint8(t + u++);
                            if (s < 240) n = ((s & 15) << 12) | ((d & 63) << 6) | (f & 63);
                            else {
                                var r = this.readUint8(t + u++);
                                n = ((s & 7) << 18) | ((d & 63) << 12) | ((f & 63) << 6) | (r & 63);
                            }
                        }
                    }
                    n < 65536
                        ? (i += String.fromCharCode(n))
                        : ((n -= 65536), (i += String.fromCharCode((n >> 10) + 55296, (n & 1023) + 56320)));
                }
                return i;
            }),
            (_.ByteBuffer.prototype.__indirect = function (t) {
                return t + this.readInt32(t);
            }),
            (_.ByteBuffer.prototype.__vector = function (t) {
                return t + this.readInt32(t) + _.SIZEOF_INT;
            }),
            (_.ByteBuffer.prototype.__vector_len = function (t) {
                return this.readInt32(t + this.readInt32(t));
            }),
            (_.ByteBuffer.prototype.__has_identifier = function (t) {
                if (t.length != _.FILE_IDENTIFIER_LENGTH)
                    throw new Error('FlatBuffers: file identifier must be length ' + _.FILE_IDENTIFIER_LENGTH);
                for (var e = 0; e < _.FILE_IDENTIFIER_LENGTH; e++)
                    if (t.charCodeAt(e) != this.readInt8(this.position_ + _.SIZEOF_INT + e)) return !1;
                return !0;
            }),
            (_.ByteBuffer.prototype.createLong = function (t, e) {
                return _.Long.create(t, e);
            });
    }),
    W,
    tn = L(() => {
        Wn(),
            ((t) => {
                ((e) => {
                    ((o) => {
                        ((i) => (
                            (i[(i.UNDEFINED = 0)] = 'UNDEFINED'),
                            (i[(i.FLOAT = 1)] = 'FLOAT'),
                            (i[(i.INT = 2)] = 'INT'),
                            (i[(i.STRING = 3)] = 'STRING'),
                            (i[(i.TENSOR = 4)] = 'TENSOR'),
                            (i[(i.GRAPH = 5)] = 'GRAPH'),
                            (i[(i.FLOATS = 6)] = 'FLOATS'),
                            (i[(i.INTS = 7)] = 'INTS'),
                            (i[(i.STRINGS = 8)] = 'STRINGS'),
                            (i[(i.TENSORS = 9)] = 'TENSORS'),
                            (i[(i.GRAPHS = 10)] = 'GRAPHS'),
                            (i[(i.SPARSE_TENSOR = 11)] = 'SPARSE_TENSOR'),
                            (i[(i.SPARSE_TENSORS = 12)] = 'SPARSE_TENSORS')
                        ))((o.AttributeType ||= {}));
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        ((i) => (
                            (i[(i.UNKNOWN = 0)] = 'UNKNOWN'), (i[(i.VALUE = 1)] = 'VALUE'), (i[(i.PARAM = 2)] = 'PARAM')
                        ))((o.DimensionValueType ||= {}));
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        ((i) => (
                            (i[(i.UNDEFINED = 0)] = 'UNDEFINED'),
                            (i[(i.FLOAT = 1)] = 'FLOAT'),
                            (i[(i.UINT8 = 2)] = 'UINT8'),
                            (i[(i.INT8 = 3)] = 'INT8'),
                            (i[(i.UINT16 = 4)] = 'UINT16'),
                            (i[(i.INT16 = 5)] = 'INT16'),
                            (i[(i.INT32 = 6)] = 'INT32'),
                            (i[(i.INT64 = 7)] = 'INT64'),
                            (i[(i.STRING = 8)] = 'STRING'),
                            (i[(i.BOOL = 9)] = 'BOOL'),
                            (i[(i.FLOAT16 = 10)] = 'FLOAT16'),
                            (i[(i.DOUBLE = 11)] = 'DOUBLE'),
                            (i[(i.UINT32 = 12)] = 'UINT32'),
                            (i[(i.UINT64 = 13)] = 'UINT64'),
                            (i[(i.COMPLEX64 = 14)] = 'COMPLEX64'),
                            (i[(i.COMPLEX128 = 15)] = 'COMPLEX128'),
                            (i[(i.BFLOAT16 = 16)] = 'BFLOAT16'),
                            (i[(i.FLOAT8E4M3FN = 17)] = 'FLOAT8E4M3FN'),
                            (i[(i.FLOAT8E4M3FNUZ = 18)] = 'FLOAT8E4M3FNUZ'),
                            (i[(i.FLOAT8E5M2 = 19)] = 'FLOAT8E5M2'),
                            (i[(i.FLOAT8E5M2FNUZ = 20)] = 'FLOAT8E5M2FNUZ')
                        ))((o.TensorDataType ||= {}));
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        ((i) => ((i[(i.Primitive = 0)] = 'Primitive'), (i[(i.Fused = 1)] = 'Fused')))(
                            (o.NodeType ||= {})
                        );
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        ((i) => (
                            (i[(i.NONE = 0)] = 'NONE'),
                            (i[(i.tensor_type = 1)] = 'tensor_type'),
                            (i[(i.sequence_type = 2)] = 'sequence_type'),
                            (i[(i.map_type = 3)] = 'map_type')
                        ))((o.TypeInfoValue ||= {}));
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsShape(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsShape(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            dim(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 4);
                                return d
                                    ? (s || new t.experimental.fbs.Dimension()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            dimLength() {
                                let n = this.bb.__offset(this.bb_pos, 4);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            static startShape(n) {
                                n.startObject(1);
                            }
                            static addDim(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static createDimVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startDimVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static endShape(n) {
                                return n.endObject();
                            }
                            static createShape(n, s) {
                                return i.startShape(n), i.addDim(n, s), i.endShape(n);
                            }
                        }
                        o.Shape = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsDimension(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsDimension(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            value(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s
                                    ? (n || new t.experimental.fbs.DimensionValue()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            denotation(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            static startDimension(n) {
                                n.startObject(2);
                            }
                            static addValue(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addDenotation(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static endDimension(n) {
                                return n.endObject();
                            }
                            static createDimension(n, s, d) {
                                return i.startDimension(n), i.addValue(n, s), i.addDenotation(n, d), i.endDimension(n);
                            }
                        }
                        o.Dimension = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsDimensionValue(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsDimensionValue(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            dimType() {
                                let n = this.bb.__offset(this.bb_pos, 4);
                                return n ? this.bb.readInt8(this.bb_pos + n) : 0;
                            }
                            dimValue() {
                                let n = this.bb.__offset(this.bb_pos, 6);
                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
                            }
                            dimParam(n) {
                                let s = this.bb.__offset(this.bb_pos, 8);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            static startDimensionValue(n) {
                                n.startObject(3);
                            }
                            static addDimType(n, s) {
                                n.addFieldInt8(0, s, 0);
                            }
                            static addDimValue(n, s) {
                                n.addFieldInt64(1, s, n.createLong(0, 0));
                            }
                            static addDimParam(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static endDimensionValue(n) {
                                return n.endObject();
                            }
                            static createDimensionValue(n, s, d, f) {
                                return (
                                    i.startDimensionValue(n),
                                    i.addDimType(n, s),
                                    i.addDimValue(n, d),
                                    i.addDimParam(n, f),
                                    i.endDimensionValue(n)
                                );
                            }
                        }
                        o.DimensionValue = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsTensorTypeAndShape(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsTensorTypeAndShape(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            elemType() {
                                let n = this.bb.__offset(this.bb_pos, 4);
                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
                            }
                            shape(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s
                                    ? (n || new t.experimental.fbs.Shape()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            static startTensorTypeAndShape(n) {
                                n.startObject(2);
                            }
                            static addElemType(n, s) {
                                n.addFieldInt32(0, s, 0);
                            }
                            static addShape(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static endTensorTypeAndShape(n) {
                                return n.endObject();
                            }
                            static createTensorTypeAndShape(n, s, d) {
                                return (
                                    i.startTensorTypeAndShape(n),
                                    i.addElemType(n, s),
                                    i.addShape(n, d),
                                    i.endTensorTypeAndShape(n)
                                );
                            }
                        }
                        o.TensorTypeAndShape = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsMapType(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsMapType(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            keyType() {
                                let n = this.bb.__offset(this.bb_pos, 4);
                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
                            }
                            valueType(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s
                                    ? (n || new t.experimental.fbs.TypeInfo()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            static startMapType(n) {
                                n.startObject(2);
                            }
                            static addKeyType(n, s) {
                                n.addFieldInt32(0, s, 0);
                            }
                            static addValueType(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static endMapType(n) {
                                return n.endObject();
                            }
                            static createMapType(n, s, d) {
                                return i.startMapType(n), i.addKeyType(n, s), i.addValueType(n, d), i.endMapType(n);
                            }
                        }
                        o.MapType = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsSequenceType(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsSequenceType(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            elemType(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s
                                    ? (n || new t.experimental.fbs.TypeInfo()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            static startSequenceType(n) {
                                n.startObject(1);
                            }
                            static addElemType(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static endSequenceType(n) {
                                return n.endObject();
                            }
                            static createSequenceType(n, s) {
                                return i.startSequenceType(n), i.addElemType(n, s), i.endSequenceType(n);
                            }
                        }
                        o.SequenceType = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            nodeIndex() {
                                return this.bb.readUint32(this.bb_pos);
                            }
                            srcArgIndex() {
                                return this.bb.readInt32(this.bb_pos + 4);
                            }
                            dstArgIndex() {
                                return this.bb.readInt32(this.bb_pos + 8);
                            }
                            static createEdgeEnd(n, s, d, f) {
                                return n.prep(4, 12), n.writeInt32(f), n.writeInt32(d), n.writeInt32(s), n.offset();
                            }
                        }
                        o.EdgeEnd = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsNodeEdge(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsNodeEdge(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            nodeIndex() {
                                let n = this.bb.__offset(this.bb_pos, 4);
                                return n ? this.bb.readUint32(this.bb_pos + n) : 0;
                            }
                            inputEdges(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 6);
                                return d
                                    ? (s || new t.experimental.fbs.EdgeEnd()).__init(
                                          this.bb.__vector(this.bb_pos + d) + n * 12,
                                          this.bb
                                      )
                                    : null;
                            }
                            inputEdgesLength() {
                                let n = this.bb.__offset(this.bb_pos, 6);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            outputEdges(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 8);
                                return d
                                    ? (s || new t.experimental.fbs.EdgeEnd()).__init(
                                          this.bb.__vector(this.bb_pos + d) + n * 12,
                                          this.bb
                                      )
                                    : null;
                            }
                            outputEdgesLength() {
                                let n = this.bb.__offset(this.bb_pos, 8);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            static startNodeEdge(n) {
                                n.startObject(3);
                            }
                            static addNodeIndex(n, s) {
                                n.addFieldInt32(0, s, 0);
                            }
                            static addInputEdges(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static startInputEdgesVector(n, s) {
                                n.startVector(12, s, 4);
                            }
                            static addOutputEdges(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static startOutputEdgesVector(n, s) {
                                n.startVector(12, s, 4);
                            }
                            static endNodeEdge(n) {
                                return n.endObject();
                            }
                            static createNodeEdge(n, s, d, f) {
                                return (
                                    i.startNodeEdge(n),
                                    i.addNodeIndex(n, s),
                                    i.addInputEdges(n, d),
                                    i.addOutputEdges(n, f),
                                    i.endNodeEdge(n)
                                );
                            }
                        }
                        o.NodeEdge = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsNode(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsNode(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            name(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            docString(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            domain(n) {
                                let s = this.bb.__offset(this.bb_pos, 8);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            sinceVersion() {
                                let n = this.bb.__offset(this.bb_pos, 10);
                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
                            }
                            index() {
                                let n = this.bb.__offset(this.bb_pos, 12);
                                return n ? this.bb.readUint32(this.bb_pos + n) : 0;
                            }
                            opType(n) {
                                let s = this.bb.__offset(this.bb_pos, 14);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            type() {
                                let n = this.bb.__offset(this.bb_pos, 16);
                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
                            }
                            executionProviderType(n) {
                                let s = this.bb.__offset(this.bb_pos, 18);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            inputs(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 20);
                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
                            }
                            inputsLength() {
                                let n = this.bb.__offset(this.bb_pos, 20);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            outputs(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 22);
                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
                            }
                            outputsLength() {
                                let n = this.bb.__offset(this.bb_pos, 22);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            attributes(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 24);
                                return d
                                    ? (s || new t.experimental.fbs.Attribute()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            attributesLength() {
                                let n = this.bb.__offset(this.bb_pos, 24);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            inputArgCounts(n) {
                                let s = this.bb.__offset(this.bb_pos, 26);
                                return s ? this.bb.readInt32(this.bb.__vector(this.bb_pos + s) + n * 4) : 0;
                            }
                            inputArgCountsLength() {
                                let n = this.bb.__offset(this.bb_pos, 26);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            inputArgCountsArray() {
                                let n = this.bb.__offset(this.bb_pos, 26);
                                return n
                                    ? new Int32Array(
                                          this.bb.bytes().buffer,
                                          this.bb.bytes().byteOffset + this.bb.__vector(this.bb_pos + n),
                                          this.bb.__vector_len(this.bb_pos + n)
                                      )
                                    : null;
                            }
                            implicitInputs(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 28);
                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
                            }
                            implicitInputsLength() {
                                let n = this.bb.__offset(this.bb_pos, 28);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            static startNode(n) {
                                n.startObject(13);
                            }
                            static addName(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addDocString(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static addDomain(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static addSinceVersion(n, s) {
                                n.addFieldInt32(3, s, 0);
                            }
                            static addIndex(n, s) {
                                n.addFieldInt32(4, s, 0);
                            }
                            static addOpType(n, s) {
                                n.addFieldOffset(5, s, 0);
                            }
                            static addType(n, s) {
                                n.addFieldInt32(6, s, 0);
                            }
                            static addExecutionProviderType(n, s) {
                                n.addFieldOffset(7, s, 0);
                            }
                            static addInputs(n, s) {
                                n.addFieldOffset(8, s, 0);
                            }
                            static createInputsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startInputsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addOutputs(n, s) {
                                n.addFieldOffset(9, s, 0);
                            }
                            static createOutputsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startOutputsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addAttributes(n, s) {
                                n.addFieldOffset(10, s, 0);
                            }
                            static createAttributesVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startAttributesVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addInputArgCounts(n, s) {
                                n.addFieldOffset(11, s, 0);
                            }
                            static createInputArgCountsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addInt32(s[d]);
                                return n.endVector();
                            }
                            static startInputArgCountsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addImplicitInputs(n, s) {
                                n.addFieldOffset(12, s, 0);
                            }
                            static createImplicitInputsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startImplicitInputsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static endNode(n) {
                                return n.endObject();
                            }
                            static createNode(n, s, d, f, r, a, l, p, m, y, T, v, S, E) {
                                return (
                                    i.startNode(n),
                                    i.addName(n, s),
                                    i.addDocString(n, d),
                                    i.addDomain(n, f),
                                    i.addSinceVersion(n, r),
                                    i.addIndex(n, a),
                                    i.addOpType(n, l),
                                    i.addType(n, p),
                                    i.addExecutionProviderType(n, m),
                                    i.addInputs(n, y),
                                    i.addOutputs(n, T),
                                    i.addAttributes(n, v),
                                    i.addInputArgCounts(n, S),
                                    i.addImplicitInputs(n, E),
                                    i.endNode(n)
                                );
                            }
                        }
                        o.Node = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsValueInfo(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsValueInfo(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            name(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            docString(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            type(n) {
                                let s = this.bb.__offset(this.bb_pos, 8);
                                return s
                                    ? (n || new t.experimental.fbs.TypeInfo()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            static startValueInfo(n) {
                                n.startObject(3);
                            }
                            static addName(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addDocString(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static addType(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static endValueInfo(n) {
                                return n.endObject();
                            }
                            static createValueInfo(n, s, d, f) {
                                return (
                                    i.startValueInfo(n),
                                    i.addName(n, s),
                                    i.addDocString(n, d),
                                    i.addType(n, f),
                                    i.endValueInfo(n)
                                );
                            }
                        }
                        o.ValueInfo = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsTypeInfo(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsTypeInfo(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            denotation(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            valueType() {
                                let n = this.bb.__offset(this.bb_pos, 6);
                                return n ? this.bb.readUint8(this.bb_pos + n) : 0;
                            }
                            value(n) {
                                let s = this.bb.__offset(this.bb_pos, 8);
                                return s ? this.bb.__union(n, this.bb_pos + s) : null;
                            }
                            static startTypeInfo(n) {
                                n.startObject(3);
                            }
                            static addDenotation(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addValueType(n, s) {
                                n.addFieldInt8(1, s, 0);
                            }
                            static addValue(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static endTypeInfo(n) {
                                return n.endObject();
                            }
                            static createTypeInfo(n, s, d, f) {
                                return (
                                    i.startTypeInfo(n),
                                    i.addDenotation(n, s),
                                    i.addValueType(n, d),
                                    i.addValue(n, f),
                                    i.endTypeInfo(n)
                                );
                            }
                        }
                        o.TypeInfo = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsOperatorSetId(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsOperatorSetId(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            domain(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            version() {
                                let n = this.bb.__offset(this.bb_pos, 6);
                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
                            }
                            static startOperatorSetId(n) {
                                n.startObject(2);
                            }
                            static addDomain(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addVersion(n, s) {
                                n.addFieldInt64(1, s, n.createLong(0, 0));
                            }
                            static endOperatorSetId(n) {
                                return n.endObject();
                            }
                            static createOperatorSetId(n, s, d) {
                                return (
                                    i.startOperatorSetId(n),
                                    i.addDomain(n, s),
                                    i.addVersion(n, d),
                                    i.endOperatorSetId(n)
                                );
                            }
                        }
                        o.OperatorSetId = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsTensor(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsTensor(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            name(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            docString(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            dims(n) {
                                let s = this.bb.__offset(this.bb_pos, 8);
                                return s
                                    ? this.bb.readInt64(this.bb.__vector(this.bb_pos + s) + n * 8)
                                    : this.bb.createLong(0, 0);
                            }
                            dimsLength() {
                                let n = this.bb.__offset(this.bb_pos, 8);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            dataType() {
                                let n = this.bb.__offset(this.bb_pos, 10);
                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
                            }
                            rawData(n) {
                                let s = this.bb.__offset(this.bb_pos, 12);
                                return s ? this.bb.readUint8(this.bb.__vector(this.bb_pos + s) + n) : 0;
                            }
                            rawDataLength() {
                                let n = this.bb.__offset(this.bb_pos, 12);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            rawDataArray() {
                                let n = this.bb.__offset(this.bb_pos, 12);
                                return n
                                    ? new Uint8Array(
                                          this.bb.bytes().buffer,
                                          this.bb.bytes().byteOffset + this.bb.__vector(this.bb_pos + n),
                                          this.bb.__vector_len(this.bb_pos + n)
                                      )
                                    : null;
                            }
                            stringData(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 14);
                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
                            }
                            stringDataLength() {
                                let n = this.bb.__offset(this.bb_pos, 14);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            static startTensor(n) {
                                n.startObject(6);
                            }
                            static addName(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addDocString(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static addDims(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static createDimsVector(n, s) {
                                n.startVector(8, s.length, 8);
                                for (let d = s.length - 1; d >= 0; d--) n.addInt64(s[d]);
                                return n.endVector();
                            }
                            static startDimsVector(n, s) {
                                n.startVector(8, s, 8);
                            }
                            static addDataType(n, s) {
                                n.addFieldInt32(3, s, 0);
                            }
                            static addRawData(n, s) {
                                n.addFieldOffset(4, s, 0);
                            }
                            static createRawDataVector(n, s) {
                                n.startVector(1, s.length, 1);
                                for (let d = s.length - 1; d >= 0; d--) n.addInt8(s[d]);
                                return n.endVector();
                            }
                            static startRawDataVector(n, s) {
                                n.startVector(1, s, 1);
                            }
                            static addStringData(n, s) {
                                n.addFieldOffset(5, s, 0);
                            }
                            static createStringDataVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startStringDataVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static endTensor(n) {
                                return n.endObject();
                            }
                            static createTensor(n, s, d, f, r, a, l) {
                                return (
                                    i.startTensor(n),
                                    i.addName(n, s),
                                    i.addDocString(n, d),
                                    i.addDims(n, f),
                                    i.addDataType(n, r),
                                    i.addRawData(n, a),
                                    i.addStringData(n, l),
                                    i.endTensor(n)
                                );
                            }
                        }
                        o.Tensor = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsSparseTensor(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsSparseTensor(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            values(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s
                                    ? (n || new t.experimental.fbs.Tensor()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            indices(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s
                                    ? (n || new t.experimental.fbs.Tensor()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            dims(n) {
                                let s = this.bb.__offset(this.bb_pos, 8);
                                return s
                                    ? this.bb.readInt64(this.bb.__vector(this.bb_pos + s) + n * 8)
                                    : this.bb.createLong(0, 0);
                            }
                            dimsLength() {
                                let n = this.bb.__offset(this.bb_pos, 8);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            static startSparseTensor(n) {
                                n.startObject(3);
                            }
                            static addValues(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addIndices(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static addDims(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static createDimsVector(n, s) {
                                n.startVector(8, s.length, 8);
                                for (let d = s.length - 1; d >= 0; d--) n.addInt64(s[d]);
                                return n.endVector();
                            }
                            static startDimsVector(n, s) {
                                n.startVector(8, s, 8);
                            }
                            static endSparseTensor(n) {
                                return n.endObject();
                            }
                            static createSparseTensor(n, s, d, f) {
                                return (
                                    i.startSparseTensor(n),
                                    i.addValues(n, s),
                                    i.addIndices(n, d),
                                    i.addDims(n, f),
                                    i.endSparseTensor(n)
                                );
                            }
                        }
                        o.SparseTensor = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsAttribute(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsAttribute(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            name(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            docString(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            type() {
                                let n = this.bb.__offset(this.bb_pos, 8);
                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
                            }
                            f() {
                                let n = this.bb.__offset(this.bb_pos, 10);
                                return n ? this.bb.readFloat32(this.bb_pos + n) : 0;
                            }
                            i() {
                                let n = this.bb.__offset(this.bb_pos, 12);
                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
                            }
                            s(n) {
                                let s = this.bb.__offset(this.bb_pos, 14);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            t(n) {
                                let s = this.bb.__offset(this.bb_pos, 16);
                                return s
                                    ? (n || new t.experimental.fbs.Tensor()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            g(n) {
                                let s = this.bb.__offset(this.bb_pos, 18);
                                return s
                                    ? (n || new t.experimental.fbs.Graph()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            floats(n) {
                                let s = this.bb.__offset(this.bb_pos, 20);
                                return s ? this.bb.readFloat32(this.bb.__vector(this.bb_pos + s) + n * 4) : 0;
                            }
                            floatsLength() {
                                let n = this.bb.__offset(this.bb_pos, 20);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            floatsArray() {
                                let n = this.bb.__offset(this.bb_pos, 20);
                                return n
                                    ? new Float32Array(
                                          this.bb.bytes().buffer,
                                          this.bb.bytes().byteOffset + this.bb.__vector(this.bb_pos + n),
                                          this.bb.__vector_len(this.bb_pos + n)
                                      )
                                    : null;
                            }
                            ints(n) {
                                let s = this.bb.__offset(this.bb_pos, 22);
                                return s
                                    ? this.bb.readInt64(this.bb.__vector(this.bb_pos + s) + n * 8)
                                    : this.bb.createLong(0, 0);
                            }
                            intsLength() {
                                let n = this.bb.__offset(this.bb_pos, 22);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            strings(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 24);
                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
                            }
                            stringsLength() {
                                let n = this.bb.__offset(this.bb_pos, 24);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            tensors(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 26);
                                return d
                                    ? (s || new t.experimental.fbs.Tensor()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            tensorsLength() {
                                let n = this.bb.__offset(this.bb_pos, 26);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            graphs(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 28);
                                return d
                                    ? (s || new t.experimental.fbs.Graph()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            graphsLength() {
                                let n = this.bb.__offset(this.bb_pos, 28);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            static startAttribute(n) {
                                n.startObject(13);
                            }
                            static addName(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addDocString(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static addType(n, s) {
                                n.addFieldInt32(2, s, 0);
                            }
                            static addF(n, s) {
                                n.addFieldFloat32(3, s, 0);
                            }
                            static addI(n, s) {
                                n.addFieldInt64(4, s, n.createLong(0, 0));
                            }
                            static addS(n, s) {
                                n.addFieldOffset(5, s, 0);
                            }
                            static addT(n, s) {
                                n.addFieldOffset(6, s, 0);
                            }
                            static addG(n, s) {
                                n.addFieldOffset(7, s, 0);
                            }
                            static addFloats(n, s) {
                                n.addFieldOffset(8, s, 0);
                            }
                            static createFloatsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addFloat32(s[d]);
                                return n.endVector();
                            }
                            static startFloatsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addInts(n, s) {
                                n.addFieldOffset(9, s, 0);
                            }
                            static createIntsVector(n, s) {
                                n.startVector(8, s.length, 8);
                                for (let d = s.length - 1; d >= 0; d--) n.addInt64(s[d]);
                                return n.endVector();
                            }
                            static startIntsVector(n, s) {
                                n.startVector(8, s, 8);
                            }
                            static addStrings(n, s) {
                                n.addFieldOffset(10, s, 0);
                            }
                            static createStringsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startStringsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addTensors(n, s) {
                                n.addFieldOffset(11, s, 0);
                            }
                            static createTensorsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startTensorsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addGraphs(n, s) {
                                n.addFieldOffset(12, s, 0);
                            }
                            static createGraphsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startGraphsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static endAttribute(n) {
                                return n.endObject();
                            }
                            static createAttribute(n, s, d, f, r, a, l, p, m, y, T, v, S, E) {
                                return (
                                    i.startAttribute(n),
                                    i.addName(n, s),
                                    i.addDocString(n, d),
                                    i.addType(n, f),
                                    i.addF(n, r),
                                    i.addI(n, a),
                                    i.addS(n, l),
                                    i.addT(n, p),
                                    i.addG(n, m),
                                    i.addFloats(n, y),
                                    i.addInts(n, T),
                                    i.addStrings(n, v),
                                    i.addTensors(n, S),
                                    i.addGraphs(n, E),
                                    i.endAttribute(n)
                                );
                            }
                        }
                        o.Attribute = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsGraph(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsGraph(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            initializers(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 4);
                                return d
                                    ? (s || new t.experimental.fbs.Tensor()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            initializersLength() {
                                let n = this.bb.__offset(this.bb_pos, 4);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            nodeArgs(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 6);
                                return d
                                    ? (s || new t.experimental.fbs.ValueInfo()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            nodeArgsLength() {
                                let n = this.bb.__offset(this.bb_pos, 6);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            nodes(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 8);
                                return d
                                    ? (s || new t.experimental.fbs.Node()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            nodesLength() {
                                let n = this.bb.__offset(this.bb_pos, 8);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            maxNodeIndex() {
                                let n = this.bb.__offset(this.bb_pos, 10);
                                return n ? this.bb.readUint32(this.bb_pos + n) : 0;
                            }
                            nodeEdges(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 12);
                                return d
                                    ? (s || new t.experimental.fbs.NodeEdge()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            nodeEdgesLength() {
                                let n = this.bb.__offset(this.bb_pos, 12);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            inputs(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 14);
                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
                            }
                            inputsLength() {
                                let n = this.bb.__offset(this.bb_pos, 14);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            outputs(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 16);
                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
                            }
                            outputsLength() {
                                let n = this.bb.__offset(this.bb_pos, 16);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            sparseInitializers(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 18);
                                return d
                                    ? (s || new t.experimental.fbs.SparseTensor()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            sparseInitializersLength() {
                                let n = this.bb.__offset(this.bb_pos, 18);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            static startGraph(n) {
                                n.startObject(8);
                            }
                            static addInitializers(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static createInitializersVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startInitializersVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addNodeArgs(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static createNodeArgsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startNodeArgsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addNodes(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static createNodesVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startNodesVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addMaxNodeIndex(n, s) {
                                n.addFieldInt32(3, s, 0);
                            }
                            static addNodeEdges(n, s) {
                                n.addFieldOffset(4, s, 0);
                            }
                            static createNodeEdgesVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startNodeEdgesVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addInputs(n, s) {
                                n.addFieldOffset(5, s, 0);
                            }
                            static createInputsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startInputsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addOutputs(n, s) {
                                n.addFieldOffset(6, s, 0);
                            }
                            static createOutputsVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startOutputsVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addSparseInitializers(n, s) {
                                n.addFieldOffset(7, s, 0);
                            }
                            static createSparseInitializersVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startSparseInitializersVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static endGraph(n) {
                                return n.endObject();
                            }
                            static createGraph(n, s, d, f, r, a, l, p, m) {
                                return (
                                    i.startGraph(n),
                                    i.addInitializers(n, s),
                                    i.addNodeArgs(n, d),
                                    i.addNodes(n, f),
                                    i.addMaxNodeIndex(n, r),
                                    i.addNodeEdges(n, a),
                                    i.addInputs(n, l),
                                    i.addOutputs(n, p),
                                    i.addSparseInitializers(n, m),
                                    i.endGraph(n)
                                );
                            }
                        }
                        o.Graph = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsModel(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsModel(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            irVersion() {
                                let n = this.bb.__offset(this.bb_pos, 4);
                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
                            }
                            opsetImport(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 6);
                                return d
                                    ? (s || new t.experimental.fbs.OperatorSetId()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            opsetImportLength() {
                                let n = this.bb.__offset(this.bb_pos, 6);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            producerName(n) {
                                let s = this.bb.__offset(this.bb_pos, 8);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            producerVersion(n) {
                                let s = this.bb.__offset(this.bb_pos, 10);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            domain(n) {
                                let s = this.bb.__offset(this.bb_pos, 12);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            modelVersion() {
                                let n = this.bb.__offset(this.bb_pos, 14);
                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
                            }
                            docString(n) {
                                let s = this.bb.__offset(this.bb_pos, 16);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            graph(n) {
                                let s = this.bb.__offset(this.bb_pos, 18);
                                return s
                                    ? (n || new t.experimental.fbs.Graph()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            graphDocString(n) {
                                let s = this.bb.__offset(this.bb_pos, 20);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            static startModel(n) {
                                n.startObject(9);
                            }
                            static addIrVersion(n, s) {
                                n.addFieldInt64(0, s, n.createLong(0, 0));
                            }
                            static addOpsetImport(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static createOpsetImportVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startOpsetImportVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addProducerName(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static addProducerVersion(n, s) {
                                n.addFieldOffset(3, s, 0);
                            }
                            static addDomain(n, s) {
                                n.addFieldOffset(4, s, 0);
                            }
                            static addModelVersion(n, s) {
                                n.addFieldInt64(5, s, n.createLong(0, 0));
                            }
                            static addDocString(n, s) {
                                n.addFieldOffset(6, s, 0);
                            }
                            static addGraph(n, s) {
                                n.addFieldOffset(7, s, 0);
                            }
                            static addGraphDocString(n, s) {
                                n.addFieldOffset(8, s, 0);
                            }
                            static endModel(n) {
                                return n.endObject();
                            }
                            static createModel(n, s, d, f, r, a, l, p, m, y) {
                                return (
                                    i.startModel(n),
                                    i.addIrVersion(n, s),
                                    i.addOpsetImport(n, d),
                                    i.addProducerName(n, f),
                                    i.addProducerVersion(n, r),
                                    i.addDomain(n, a),
                                    i.addModelVersion(n, l),
                                    i.addDocString(n, p),
                                    i.addGraph(n, m),
                                    i.addGraphDocString(n, y),
                                    i.endModel(n)
                                );
                            }
                        }
                        o.Model = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsKernelCreateInfos(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsKernelCreateInfos(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            nodeIndices(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s ? this.bb.readUint32(this.bb.__vector(this.bb_pos + s) + n * 4) : 0;
                            }
                            nodeIndicesLength() {
                                let n = this.bb.__offset(this.bb_pos, 4);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            nodeIndicesArray() {
                                let n = this.bb.__offset(this.bb_pos, 4);
                                return n
                                    ? new Uint32Array(
                                          this.bb.bytes().buffer,
                                          this.bb.bytes().byteOffset + this.bb.__vector(this.bb_pos + n),
                                          this.bb.__vector_len(this.bb_pos + n)
                                      )
                                    : null;
                            }
                            kernelDefHashes(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s
                                    ? this.bb.readUint64(this.bb.__vector(this.bb_pos + s) + n * 8)
                                    : this.bb.createLong(0, 0);
                            }
                            kernelDefHashesLength() {
                                let n = this.bb.__offset(this.bb_pos, 6);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            static startKernelCreateInfos(n) {
                                n.startObject(2);
                            }
                            static addNodeIndices(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static createNodeIndicesVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addInt32(s[d]);
                                return n.endVector();
                            }
                            static startNodeIndicesVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static addKernelDefHashes(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static createKernelDefHashesVector(n, s) {
                                n.startVector(8, s.length, 8);
                                for (let d = s.length - 1; d >= 0; d--) n.addInt64(s[d]);
                                return n.endVector();
                            }
                            static startKernelDefHashesVector(n, s) {
                                n.startVector(8, s, 8);
                            }
                            static endKernelCreateInfos(n) {
                                return n.endObject();
                            }
                            static createKernelCreateInfos(n, s, d) {
                                return (
                                    i.startKernelCreateInfos(n),
                                    i.addNodeIndices(n, s),
                                    i.addKernelDefHashes(n, d),
                                    i.endKernelCreateInfos(n)
                                );
                            }
                        }
                        o.KernelCreateInfos = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsSubGraphSessionState(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsSubGraphSessionState(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            graphId(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            sessionState(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s
                                    ? (n || new t.experimental.fbs.SessionState()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            static startSubGraphSessionState(n) {
                                n.startObject(2);
                            }
                            static addGraphId(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addSessionState(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static endSubGraphSessionState(n) {
                                let s = n.endObject();
                                return n.requiredField(s, 4), s;
                            }
                            static createSubGraphSessionState(n, s, d) {
                                return (
                                    i.startSubGraphSessionState(n),
                                    i.addGraphId(n, s),
                                    i.addSessionState(n, d),
                                    i.endSubGraphSessionState(n)
                                );
                            }
                        }
                        o.SubGraphSessionState = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsSessionState(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsSessionState(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            kernels(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s
                                    ? (n || new t.experimental.fbs.KernelCreateInfos()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            subGraphSessionStates(n, s) {
                                let d = this.bb.__offset(this.bb_pos, 6);
                                return d
                                    ? (s || new t.experimental.fbs.SubGraphSessionState()).__init(
                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
                                          this.bb
                                      )
                                    : null;
                            }
                            subGraphSessionStatesLength() {
                                let n = this.bb.__offset(this.bb_pos, 6);
                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
                            }
                            static startSessionState(n) {
                                n.startObject(2);
                            }
                            static addKernels(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addSubGraphSessionStates(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static createSubGraphSessionStatesVector(n, s) {
                                n.startVector(4, s.length, 4);
                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
                                return n.endVector();
                            }
                            static startSubGraphSessionStatesVector(n, s) {
                                n.startVector(4, s, 4);
                            }
                            static endSessionState(n) {
                                return n.endObject();
                            }
                            static createSessionState(n, s, d) {
                                return (
                                    i.startSessionState(n),
                                    i.addKernels(n, s),
                                    i.addSubGraphSessionStates(n, d),
                                    i.endSessionState(n)
                                );
                            }
                        }
                        o.SessionState = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {})),
            ((t) => {
                ((e) => {
                    ((o) => {
                        class i {
                            constructor() {
                                (this.bb = null), (this.bb_pos = 0);
                            }
                            __init(n, s) {
                                return (this.bb_pos = n), (this.bb = s), this;
                            }
                            static getRootAsInferenceSession(n, s) {
                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
                            }
                            static getSizePrefixedRootAsInferenceSession(n, s) {
                                return (
                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
                                );
                            }
                            static bufferHasIdentifier(n) {
                                return n.__has_identifier('ORTM');
                            }
                            ortVersion(n) {
                                let s = this.bb.__offset(this.bb_pos, 4);
                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
                            }
                            model(n) {
                                let s = this.bb.__offset(this.bb_pos, 6);
                                return s
                                    ? (n || new t.experimental.fbs.Model()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            sessionState(n) {
                                let s = this.bb.__offset(this.bb_pos, 8);
                                return s
                                    ? (n || new t.experimental.fbs.SessionState()).__init(
                                          this.bb.__indirect(this.bb_pos + s),
                                          this.bb
                                      )
                                    : null;
                            }
                            static startInferenceSession(n) {
                                n.startObject(3);
                            }
                            static addOrtVersion(n, s) {
                                n.addFieldOffset(0, s, 0);
                            }
                            static addModel(n, s) {
                                n.addFieldOffset(1, s, 0);
                            }
                            static addSessionState(n, s) {
                                n.addFieldOffset(2, s, 0);
                            }
                            static endInferenceSession(n) {
                                return n.endObject();
                            }
                            static finishInferenceSessionBuffer(n, s) {
                                n.finish(s, 'ORTM');
                            }
                            static finishSizePrefixedInferenceSessionBuffer(n, s) {
                                n.finish(s, 'ORTM', !0);
                            }
                            static createInferenceSession(n, s, d, f) {
                                return (
                                    i.startInferenceSession(n),
                                    i.addOrtVersion(n, s),
                                    i.addModel(n, d),
                                    i.addSessionState(n, f),
                                    i.endInferenceSession(n)
                                );
                            }
                        }
                        o.InferenceSession = i;
                    })((e.fbs ||= {}));
                })((t.experimental ||= {}));
            })((W ||= {}));
    }),
    ks = me((t, e) => {
        e.exports = o;
        function o(i, u) {
            for (var n = new Array(arguments.length - 1), s = 0, d = 2, f = !0; d < arguments.length; )
                n[s++] = arguments[d++];
            return new Promise(function (r, a) {
                n[s] = function (l) {
                    if (f)
                        if (((f = !1), l)) a(l);
                        else {
                            for (var p = new Array(arguments.length - 1), m = 0; m < p.length; ) p[m++] = arguments[m];
                            r.apply(null, p);
                        }
                };
                try {
                    i.apply(u || null, n);
                } catch (l) {
                    f && ((f = !1), a(l));
                }
            });
        }
    }),
    Ms = me((t) => {
        var e = t;
        e.length = function (s) {
            var d = s.length;
            if (!d) return 0;
            for (var f = 0; --d % 4 > 1 && s.charAt(d) === '='; ) ++f;
            return Math.ceil(s.length * 3) / 4 - f;
        };
        var o = new Array(64),
            i = new Array(123);
        for (u = 0; u < 64; ) i[(o[u] = u < 26 ? u + 65 : u < 52 ? u + 71 : u < 62 ? u - 4 : (u - 59) | 43)] = u++;
        var u;
        e.encode = function (s, d, f) {
            for (var r = null, a = [], l = 0, p = 0, m; d < f; ) {
                var y = s[d++];
                switch (p) {
                    case 0:
                        (a[l++] = o[y >> 2]), (m = (y & 3) << 4), (p = 1);
                        break;
                    case 1:
                        (a[l++] = o[m | (y >> 4)]), (m = (y & 15) << 2), (p = 2);
                        break;
                    case 2:
                        (a[l++] = o[m | (y >> 6)]), (a[l++] = o[y & 63]), (p = 0);
                        break;
                }
                l > 8191 && ((r || (r = [])).push(String.fromCharCode.apply(String, a)), (l = 0));
            }
            return (
                p && ((a[l++] = o[m]), (a[l++] = 61), p === 1 && (a[l++] = 61)),
                r
                    ? (l && r.push(String.fromCharCode.apply(String, a.slice(0, l))), r.join(''))
                    : String.fromCharCode.apply(String, a.slice(0, l))
            );
        };
        var n = 'invalid encoding';
        (e.decode = function (s, d, f) {
            for (var r = f, a = 0, l, p = 0; p < s.length; ) {
                var m = s.charCodeAt(p++);
                if (m === 61 && a > 1) break;
                if ((m = i[m]) === void 0) throw Error(n);
                switch (a) {
                    case 0:
                        (l = m), (a = 1);
                        break;
                    case 1:
                        (d[f++] = (l << 2) | ((m & 48) >> 4)), (l = m), (a = 2);
                        break;
                    case 2:
                        (d[f++] = ((l & 15) << 4) | ((m & 60) >> 2)), (l = m), (a = 3);
                        break;
                    case 3:
                        (d[f++] = ((l & 3) << 6) | m), (a = 0);
                        break;
                }
            }
            if (a === 1) throw Error(n);
            return f - r;
        }),
            (e.test = function (s) {
                return /^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/.test(s);
            });
    }),
    Us = me((t, e) => {
        e.exports = o;
        function o() {
            this._listeners = {};
        }
        (o.prototype.on = function (i, u, n) {
            return (this._listeners[i] || (this._listeners[i] = [])).push({ fn: u, ctx: n || this }), this;
        }),
            (o.prototype.off = function (i, u) {
                if (i === void 0) this._listeners = {};
                else if (u === void 0) this._listeners[i] = [];
                else for (var n = this._listeners[i], s = 0; s < n.length; ) n[s].fn === u ? n.splice(s, 1) : ++s;
                return this;
            }),
            (o.prototype.emit = function (i) {
                var u = this._listeners[i];
                if (u) {
                    for (var n = [], s = 1; s < arguments.length; ) n.push(arguments[s++]);
                    for (s = 0; s < u.length; ) u[s].fn.apply(u[s++].ctx, n);
                }
                return this;
            });
    }),
    Ys = me((t, e) => {
        e.exports = o(o);
        function o(d) {
            return (
                typeof Float32Array < 'u'
                    ? (function () {
                          var f = new Float32Array([-0]),
                              r = new Uint8Array(f.buffer),
                              a = r[3] === 128;
                          function l(T, v, S) {
                              (f[0] = T), (v[S] = r[0]), (v[S + 1] = r[1]), (v[S + 2] = r[2]), (v[S + 3] = r[3]);
                          }
                          function p(T, v, S) {
                              (f[0] = T), (v[S] = r[3]), (v[S + 1] = r[2]), (v[S + 2] = r[1]), (v[S + 3] = r[0]);
                          }
                          (d.writeFloatLE = a ? l : p), (d.writeFloatBE = a ? p : l);
                          function m(T, v) {
                              return (r[0] = T[v]), (r[1] = T[v + 1]), (r[2] = T[v + 2]), (r[3] = T[v + 3]), f[0];
                          }
                          function y(T, v) {
                              return (r[3] = T[v]), (r[2] = T[v + 1]), (r[1] = T[v + 2]), (r[0] = T[v + 3]), f[0];
                          }
                          (d.readFloatLE = a ? m : y), (d.readFloatBE = a ? y : m);
                      })()
                    : (function () {
                          function f(a, l, p, m) {
                              var y = l < 0 ? 1 : 0;
                              if ((y && (l = -l), l === 0)) a(1 / l > 0 ? 0 : 2147483648, p, m);
                              else if (isNaN(l)) a(2143289344, p, m);
                              else if (l > 34028234663852886e22) a(((y << 31) | 2139095040) >>> 0, p, m);
                              else if (l < 11754943508222875e-54)
                                  a(((y << 31) | Math.round(l / 1401298464324817e-60)) >>> 0, p, m);
                              else {
                                  var T = Math.floor(Math.log(l) / Math.LN2),
                                      v = Math.round(l * Math.pow(2, -T) * 8388608) & 8388607;
                                  a(((y << 31) | ((T + 127) << 23) | v) >>> 0, p, m);
                              }
                          }
                          (d.writeFloatLE = f.bind(null, i)), (d.writeFloatBE = f.bind(null, u));
                          function r(a, l, p) {
                              var m = a(l, p),
                                  y = (m >> 31) * 2 + 1,
                                  T = (m >>> 23) & 255,
                                  v = m & 8388607;
                              return T === 255
                                  ? v
                                      ? NaN
                                      : y * (1 / 0)
                                  : T === 0
                                  ? y * 1401298464324817e-60 * v
                                  : y * Math.pow(2, T - 150) * (v + 8388608);
                          }
                          (d.readFloatLE = r.bind(null, n)), (d.readFloatBE = r.bind(null, s));
                      })(),
                typeof Float64Array < 'u'
                    ? (function () {
                          var f = new Float64Array([-0]),
                              r = new Uint8Array(f.buffer),
                              a = r[7] === 128;
                          function l(T, v, S) {
                              (f[0] = T),
                                  (v[S] = r[0]),
                                  (v[S + 1] = r[1]),
                                  (v[S + 2] = r[2]),
                                  (v[S + 3] = r[3]),
                                  (v[S + 4] = r[4]),
                                  (v[S + 5] = r[5]),
                                  (v[S + 6] = r[6]),
                                  (v[S + 7] = r[7]);
                          }
                          function p(T, v, S) {
                              (f[0] = T),
                                  (v[S] = r[7]),
                                  (v[S + 1] = r[6]),
                                  (v[S + 2] = r[5]),
                                  (v[S + 3] = r[4]),
                                  (v[S + 4] = r[3]),
                                  (v[S + 5] = r[2]),
                                  (v[S + 6] = r[1]),
                                  (v[S + 7] = r[0]);
                          }
                          (d.writeDoubleLE = a ? l : p), (d.writeDoubleBE = a ? p : l);
                          function m(T, v) {
                              return (
                                  (r[0] = T[v]),
                                  (r[1] = T[v + 1]),
                                  (r[2] = T[v + 2]),
                                  (r[3] = T[v + 3]),
                                  (r[4] = T[v + 4]),
                                  (r[5] = T[v + 5]),
                                  (r[6] = T[v + 6]),
                                  (r[7] = T[v + 7]),
                                  f[0]
                              );
                          }
                          function y(T, v) {
                              return (
                                  (r[7] = T[v]),
                                  (r[6] = T[v + 1]),
                                  (r[5] = T[v + 2]),
                                  (r[4] = T[v + 3]),
                                  (r[3] = T[v + 4]),
                                  (r[2] = T[v + 5]),
                                  (r[1] = T[v + 6]),
                                  (r[0] = T[v + 7]),
                                  f[0]
                              );
                          }
                          (d.readDoubleLE = a ? m : y), (d.readDoubleBE = a ? y : m);
                      })()
                    : (function () {
                          function f(a, l, p, m, y, T) {
                              var v = m < 0 ? 1 : 0;
                              if ((v && (m = -m), m === 0)) a(0, y, T + l), a(1 / m > 0 ? 0 : 2147483648, y, T + p);
                              else if (isNaN(m)) a(0, y, T + l), a(2146959360, y, T + p);
                              else if (m > 17976931348623157e292)
                                  a(0, y, T + l), a(((v << 31) | 2146435072) >>> 0, y, T + p);
                              else {
                                  var S;
                                  if (m < 22250738585072014e-324)
                                      (S = m / 5e-324),
                                          a(S >>> 0, y, T + l),
                                          a(((v << 31) | (S / 4294967296)) >>> 0, y, T + p);
                                  else {
                                      var E = Math.floor(Math.log(m) / Math.LN2);
                                      E === 1024 && (E = 1023),
                                          (S = m * Math.pow(2, -E)),
                                          a((S * 4503599627370496) >>> 0, y, T + l),
                                          a(
                                              ((v << 31) | ((E + 1023) << 20) | ((S * 1048576) & 1048575)) >>> 0,
                                              y,
                                              T + p
                                          );
                                  }
                              }
                          }
                          (d.writeDoubleLE = f.bind(null, i, 0, 4)), (d.writeDoubleBE = f.bind(null, u, 4, 0));
                          function r(a, l, p, m, y) {
                              var T = a(m, y + l),
                                  v = a(m, y + p),
                                  S = (v >> 31) * 2 + 1,
                                  E = (v >>> 20) & 2047,
                                  A = 4294967296 * (v & 1048575) + T;
                              return E === 2047
                                  ? A
                                      ? NaN
                                      : S * (1 / 0)
                                  : E === 0
                                  ? S * 5e-324 * A
                                  : S * Math.pow(2, E - 1075) * (A + 4503599627370496);
                          }
                          (d.readDoubleLE = r.bind(null, n, 0, 4)), (d.readDoubleBE = r.bind(null, s, 4, 0));
                      })(),
                d
            );
        }
        function i(d, f, r) {
            (f[r] = d & 255), (f[r + 1] = (d >>> 8) & 255), (f[r + 2] = (d >>> 16) & 255), (f[r + 3] = d >>> 24);
        }
        function u(d, f, r) {
            (f[r] = d >>> 24), (f[r + 1] = (d >>> 16) & 255), (f[r + 2] = (d >>> 8) & 255), (f[r + 3] = d & 255);
        }
        function n(d, f) {
            return (d[f] | (d[f + 1] << 8) | (d[f + 2] << 16) | (d[f + 3] << 24)) >>> 0;
        }
        function s(d, f) {
            return ((d[f] << 24) | (d[f + 1] << 16) | (d[f + 2] << 8) | d[f + 3]) >>> 0;
        }
    }),
    Xs = me((exports, module) => {
        module.exports = inquire;
        function inquire(moduleName) {
            try {
                var mod = eval('quire'.replace(/^/, 're'))(moduleName);
                if (mod && (mod.length || Object.keys(mod).length)) return mod;
            } catch (t) {}
            return null;
        }
    }),
    Js = me((t) => {
        var e = t;
        (e.length = function (o) {
            for (var i = 0, u = 0, n = 0; n < o.length; ++n)
                (u = o.charCodeAt(n)),
                    u < 128
                        ? (i += 1)
                        : u < 2048
                        ? (i += 2)
                        : (u & 64512) === 55296 && (o.charCodeAt(n + 1) & 64512) === 56320
                        ? (++n, (i += 4))
                        : (i += 3);
            return i;
        }),
            (e.read = function (o, i, u) {
                var n = u - i;
                if (n < 1) return '';
                for (var s = null, d = [], f = 0, r; i < u; )
                    (r = o[i++]),
                        r < 128
                            ? (d[f++] = r)
                            : r > 191 && r < 224
                            ? (d[f++] = ((r & 31) << 6) | (o[i++] & 63))
                            : r > 239 && r < 365
                            ? ((r =
                                  (((r & 7) << 18) | ((o[i++] & 63) << 12) | ((o[i++] & 63) << 6) | (o[i++] & 63)) -
                                  65536),
                              (d[f++] = 55296 + (r >> 10)),
                              (d[f++] = 56320 + (r & 1023)))
                            : (d[f++] = ((r & 15) << 12) | ((o[i++] & 63) << 6) | (o[i++] & 63)),
                        f > 8191 && ((s || (s = [])).push(String.fromCharCode.apply(String, d)), (f = 0));
                return s
                    ? (f && s.push(String.fromCharCode.apply(String, d.slice(0, f))), s.join(''))
                    : String.fromCharCode.apply(String, d.slice(0, f));
            }),
            (e.write = function (o, i, u) {
                for (var n = u, s, d, f = 0; f < o.length; ++f)
                    (s = o.charCodeAt(f)),
                        s < 128
                            ? (i[u++] = s)
                            : s < 2048
                            ? ((i[u++] = (s >> 6) | 192), (i[u++] = (s & 63) | 128))
                            : (s & 64512) === 55296 && ((d = o.charCodeAt(f + 1)) & 64512) === 56320
                            ? ((s = 65536 + ((s & 1023) << 10) + (d & 1023)),
                              ++f,
                              (i[u++] = (s >> 18) | 240),
                              (i[u++] = ((s >> 12) & 63) | 128),
                              (i[u++] = ((s >> 6) & 63) | 128),
                              (i[u++] = (s & 63) | 128))
                            : ((i[u++] = (s >> 12) | 224), (i[u++] = ((s >> 6) & 63) | 128), (i[u++] = (s & 63) | 128));
                return u - n;
            });
    }),
    Qs = me((t, e) => {
        e.exports = o;
        function o(i, u, n) {
            var s = n || 8192,
                d = s >>> 1,
                f = null,
                r = s;
            return function (a) {
                if (a < 1 || a > d) return i(a);
                r + a > s && ((f = i(s)), (r = 0));
                var l = u.call(f, r, (r += a));
                return r & 7 && (r = (r | 7) + 1), l;
            };
        }
    }),
    tu = me((t, e) => {
        e.exports = i;
        var o = Xt();
        function i(d, f) {
            (this.lo = d >>> 0), (this.hi = f >>> 0);
        }
        var u = (i.zero = new i(0, 0));
        (u.toNumber = function () {
            return 0;
        }),
            (u.zzEncode = u.zzDecode =
                function () {
                    return this;
                }),
            (u.length = function () {
                return 1;
            });
        var n = (i.zeroHash = '\0\0\0\0\0\0\0\0');
        (i.fromNumber = function (d) {
            if (d === 0) return u;
            var f = d < 0;
            f && (d = -d);
            var r = d >>> 0,
                a = ((d - r) / 4294967296) >>> 0;
            return (
                f && ((a = ~a >>> 0), (r = ~r >>> 0), ++r > 4294967295 && ((r = 0), ++a > 4294967295 && (a = 0))),
                new i(r, a)
            );
        }),
            (i.from = function (d) {
                if (typeof d == 'number') return i.fromNumber(d);
                if (o.isString(d))
                    if (o.Long) d = o.Long.fromString(d);
                    else return i.fromNumber(parseInt(d, 10));
                return d.low || d.high ? new i(d.low >>> 0, d.high >>> 0) : u;
            }),
            (i.prototype.toNumber = function (d) {
                if (!d && this.hi >>> 31) {
                    var f = (~this.lo + 1) >>> 0,
                        r = ~this.hi >>> 0;
                    return f || (r = (r + 1) >>> 0), -(f + r * 4294967296);
                }
                return this.lo + this.hi * 4294967296;
            }),
            (i.prototype.toLong = function (d) {
                return o.Long
                    ? new o.Long(this.lo | 0, this.hi | 0, !!d)
                    : { low: this.lo | 0, high: this.hi | 0, unsigned: !!d };
            });
        var s = String.prototype.charCodeAt;
        (i.fromHash = function (d) {
            return d === n
                ? u
                : new i(
                      (s.call(d, 0) | (s.call(d, 1) << 8) | (s.call(d, 2) << 16) | (s.call(d, 3) << 24)) >>> 0,
                      (s.call(d, 4) | (s.call(d, 5) << 8) | (s.call(d, 6) << 16) | (s.call(d, 7) << 24)) >>> 0
                  );
        }),
            (i.prototype.toHash = function () {
                return String.fromCharCode(
                    this.lo & 255,
                    (this.lo >>> 8) & 255,
                    (this.lo >>> 16) & 255,
                    this.lo >>> 24,
                    this.hi & 255,
                    (this.hi >>> 8) & 255,
                    (this.hi >>> 16) & 255,
                    this.hi >>> 24
                );
            }),
            (i.prototype.zzEncode = function () {
                var d = this.hi >> 31;
                return (
                    (this.hi = (((this.hi << 1) | (this.lo >>> 31)) ^ d) >>> 0),
                    (this.lo = ((this.lo << 1) ^ d) >>> 0),
                    this
                );
            }),
            (i.prototype.zzDecode = function () {
                var d = -(this.lo & 1);
                return (
                    (this.lo = (((this.lo >>> 1) | (this.hi << 31)) ^ d) >>> 0),
                    (this.hi = ((this.hi >>> 1) ^ d) >>> 0),
                    this
                );
            }),
            (i.prototype.length = function () {
                var d = this.lo,
                    f = ((this.lo >>> 28) | (this.hi << 4)) >>> 0,
                    r = this.hi >>> 24;
                return r === 0
                    ? f === 0
                        ? d < 16384
                            ? d < 128
                                ? 1
                                : 2
                            : d < 2097152
                            ? 3
                            : 4
                        : f < 16384
                        ? f < 128
                            ? 5
                            : 6
                        : f < 2097152
                        ? 7
                        : 8
                    : r < 128
                    ? 9
                    : 10;
            });
    }),
    Xt = me((t) => {
        var e = t;
        (e.asPromise = ks()),
            (e.base64 = Ms()),
            (e.EventEmitter = Us()),
            (e.float = Ys()),
            (e.inquire = Xs()),
            (e.utf8 = Js()),
            (e.pool = Qs()),
            (e.LongBits = tu()),
            (e.isNode = !!(
                typeof global < 'u' &&
                global &&
                global.process &&
                global.process.versions &&
                global.process.versions.node
            )),
            (e.global = (e.isNode && global) || (typeof window < 'u' && window) || (typeof self < 'u' && self) || t),
            (e.emptyArray = Object.freeze ? Object.freeze([]) : []),
            (e.emptyObject = Object.freeze ? Object.freeze({}) : {}),
            (e.isInteger =
                Number.isInteger ||
                function (u) {
                    return typeof u == 'number' && isFinite(u) && Math.floor(u) === u;
                }),
            (e.isString = function (u) {
                return typeof u == 'string' || u instanceof String;
            }),
            (e.isObject = function (u) {
                return u && typeof u == 'object';
            }),
            (e.isset = e.isSet =
                function (u, n) {
                    var s = u[n];
                    return s != null && u.hasOwnProperty(n)
                        ? typeof s != 'object' || (Array.isArray(s) ? s.length : Object.keys(s).length) > 0
                        : !1;
                }),
            (e.Buffer = (function () {
                try {
                    var u = e.inquire('buffer').Buffer;
                    return u.prototype.utf8Write ? u : null;
                } catch {
                    return null;
                }
            })()),
            (e._Buffer_from = null),
            (e._Buffer_allocUnsafe = null),
            (e.newBuffer = function (u) {
                return typeof u == 'number'
                    ? e.Buffer
                        ? e._Buffer_allocUnsafe(u)
                        : new e.Array(u)
                    : e.Buffer
                    ? e._Buffer_from(u)
                    : typeof Uint8Array > 'u'
                    ? u
                    : new Uint8Array(u);
            }),
            (e.Array = typeof Uint8Array < 'u' ? Uint8Array : Array),
            (e.Long = (e.global.dcodeIO && e.global.dcodeIO.Long) || e.global.Long || e.inquire('long')),
            (e.key2Re = /^true|false|0|1$/),
            (e.key32Re = /^-?(?:0|[1-9][0-9]*)$/),
            (e.key64Re = /^(?:[\\x00-\\xff]{8}|-?(?:0|[1-9][0-9]*))$/),
            (e.longToHash = function (u) {
                return u ? e.LongBits.from(u).toHash() : e.LongBits.zeroHash;
            }),
            (e.longFromHash = function (u, n) {
                var s = e.LongBits.fromHash(u);
                return e.Long ? e.Long.fromBits(s.lo, s.hi, n) : s.toNumber(!!n);
            });
        function o(u, n, s) {
            for (var d = Object.keys(n), f = 0; f < d.length; ++f) (u[d[f]] === void 0 || !s) && (u[d[f]] = n[d[f]]);
            return u;
        }
        (e.merge = o),
            (e.lcFirst = function (u) {
                return u.charAt(0).toLowerCase() + u.substring(1);
            });
        function i(u) {
            function n(s, d) {
                if (!(this instanceof n)) return new n(s, d);
                Object.defineProperty(this, 'message', {
                    get: function () {
                        return s;
                    },
                }),
                    Error.captureStackTrace
                        ? Error.captureStackTrace(this, n)
                        : Object.defineProperty(this, 'stack', { value: new Error().stack || '' }),
                    d && o(this, d);
            }
            return (
                (n.prototype = Object.create(Error.prototype, {
                    constructor: { value: n, writable: !0, enumerable: !1, configurable: !0 },
                    name: {
                        get: function () {
                            return u;
                        },
                        set: void 0,
                        enumerable: !1,
                        configurable: !0,
                    },
                    toString: {
                        value: function () {
                            return this.name + ': ' + this.message;
                        },
                        writable: !0,
                        enumerable: !1,
                        configurable: !0,
                    },
                })),
                n
            );
        }
        (e.newError = i),
            (e.ProtocolError = i('ProtocolError')),
            (e.oneOfGetter = function (u) {
                for (var n = {}, s = 0; s < u.length; ++s) n[u[s]] = 1;
                return function () {
                    for (var d = Object.keys(this), f = d.length - 1; f > -1; --f)
                        if (n[d[f]] === 1 && this[d[f]] !== void 0 && this[d[f]] !== null) return d[f];
                };
            }),
            (e.oneOfSetter = function (u) {
                return function (n) {
                    for (var s = 0; s < u.length; ++s) u[s] !== n && delete this[u[s]];
                };
            }),
            (e.toJSONOptions = { longs: String, enums: String, bytes: String, json: !0 }),
            (e._configure = function () {
                var u = e.Buffer;
                if (!u) {
                    e._Buffer_from = e._Buffer_allocUnsafe = null;
                    return;
                }
                (e._Buffer_from =
                    (u.from !== Uint8Array.from && u.from) ||
                    function (n, s) {
                        return new u(n, s);
                    }),
                    (e._Buffer_allocUnsafe =
                        u.allocUnsafe ||
                        function (n) {
                            return new u(n);
                        });
            });
    }),
    li = me((t, e) => {
        e.exports = a;
        var o = Xt(),
            i,
            u = o.LongBits,
            n = o.base64,
            s = o.utf8;
        function d(E, A, F) {
            (this.fn = E), (this.len = A), (this.next = void 0), (this.val = F);
        }
        function f() {}
        function r(E) {
            (this.head = E.head), (this.tail = E.tail), (this.len = E.len), (this.next = E.states);
        }
        function a() {
            (this.len = 0), (this.head = new d(f, 0, 0)), (this.tail = this.head), (this.states = null);
        }
        var l = function () {
            return o.Buffer
                ? function () {
                      return (a.create = function () {
                          return new i();
                      })();
                  }
                : function () {
                      return new a();
                  };
        };
        (a.create = l()),
            (a.alloc = function (E) {
                return new o.Array(E);
            }),
            o.Array !== Array && (a.alloc = o.pool(a.alloc, o.Array.prototype.subarray)),
            (a.prototype._push = function (E, A, F) {
                return (this.tail = this.tail.next = new d(E, A, F)), (this.len += A), this;
            });
        function p(E, A, F) {
            A[F] = E & 255;
        }
        function m(E, A, F) {
            for (; E > 127; ) (A[F++] = (E & 127) | 128), (E >>>= 7);
            A[F] = E;
        }
        function y(E, A) {
            (this.len = E), (this.next = void 0), (this.val = A);
        }
        (y.prototype = Object.create(d.prototype)),
            (y.prototype.fn = m),
            (a.prototype.uint32 = function (E) {
                return (
                    (this.len += (this.tail = this.tail.next =
                        new y(
                            (E = E >>> 0) < 128 ? 1 : E < 16384 ? 2 : E < 2097152 ? 3 : E < 268435456 ? 4 : 5,
                            E
                        )).len),
                    this
                );
            }),
            (a.prototype.int32 = function (E) {
                return E < 0 ? this._push(T, 10, u.fromNumber(E)) : this.uint32(E);
            }),
            (a.prototype.sint32 = function (E) {
                return this.uint32(((E << 1) ^ (E >> 31)) >>> 0);
            });
        function T(E, A, F) {
            for (; E.hi; ) (A[F++] = (E.lo & 127) | 128), (E.lo = ((E.lo >>> 7) | (E.hi << 25)) >>> 0), (E.hi >>>= 7);
            for (; E.lo > 127; ) (A[F++] = (E.lo & 127) | 128), (E.lo = E.lo >>> 7);
            A[F++] = E.lo;
        }
        (a.prototype.uint64 = function (E) {
            var A = u.from(E);
            return this._push(T, A.length(), A);
        }),
            (a.prototype.int64 = a.prototype.uint64),
            (a.prototype.sint64 = function (E) {
                var A = u.from(E).zzEncode();
                return this._push(T, A.length(), A);
            }),
            (a.prototype.bool = function (E) {
                return this._push(p, 1, E ? 1 : 0);
            });
        function v(E, A, F) {
            (A[F] = E & 255), (A[F + 1] = (E >>> 8) & 255), (A[F + 2] = (E >>> 16) & 255), (A[F + 3] = E >>> 24);
        }
        (a.prototype.fixed32 = function (E) {
            return this._push(v, 4, E >>> 0);
        }),
            (a.prototype.sfixed32 = a.prototype.fixed32),
            (a.prototype.fixed64 = function (E) {
                var A = u.from(E);
                return this._push(v, 4, A.lo)._push(v, 4, A.hi);
            }),
            (a.prototype.sfixed64 = a.prototype.fixed64),
            (a.prototype.float = function (E) {
                return this._push(o.float.writeFloatLE, 4, E);
            }),
            (a.prototype.double = function (E) {
                return this._push(o.float.writeDoubleLE, 8, E);
            });
        var S = o.Array.prototype.set
            ? function (E, A, F) {
                  A.set(E, F);
              }
            : function (E, A, F) {
                  for (var B = 0; B < E.length; ++B) A[F + B] = E[B];
              };
        (a.prototype.bytes = function (E) {
            var A = E.length >>> 0;
            if (!A) return this._push(p, 1, 0);
            if (o.isString(E)) {
                var F = a.alloc((A = n.length(E)));
                n.decode(E, F, 0), (E = F);
            }
            return this.uint32(A)._push(S, A, E);
        }),
            (a.prototype.string = function (E) {
                var A = s.length(E);
                return A ? this.uint32(A)._push(s.write, A, E) : this._push(p, 1, 0);
            }),
            (a.prototype.fork = function () {
                return (this.states = new r(this)), (this.head = this.tail = new d(f, 0, 0)), (this.len = 0), this;
            }),
            (a.prototype.reset = function () {
                return (
                    this.states
                        ? ((this.head = this.states.head),
                          (this.tail = this.states.tail),
                          (this.len = this.states.len),
                          (this.states = this.states.next))
                        : ((this.head = this.tail = new d(f, 0, 0)), (this.len = 0)),
                    this
                );
            }),
            (a.prototype.ldelim = function () {
                var E = this.head,
                    A = this.tail,
                    F = this.len;
                return this.reset().uint32(F), F && ((this.tail.next = E.next), (this.tail = A), (this.len += F)), this;
            }),
            (a.prototype.finish = function () {
                for (var E = this.head.next, A = this.constructor.alloc(this.len), F = 0; E; )
                    E.fn(E.val, A, F), (F += E.len), (E = E.next);
                return A;
            }),
            (a._configure = function (E) {
                (i = E), (a.create = l()), i._configure();
            });
    }),
    fu = me((t, e) => {
        e.exports = u;
        var o = li();
        (u.prototype = Object.create(o.prototype)).constructor = u;
        var i = Xt();
        function u() {
            o.call(this);
        }
        (u._configure = function () {
            (u.alloc = i._Buffer_allocUnsafe),
                (u.writeBytesBuffer =
                    i.Buffer && i.Buffer.prototype instanceof Uint8Array && i.Buffer.prototype.set.name === 'set'
                        ? function (s, d, f) {
                              d.set(s, f);
                          }
                        : function (s, d, f) {
                              if (s.copy) s.copy(d, f, 0, s.length);
                              else for (var r = 0; r < s.length; ) d[f++] = s[r++];
                          });
        }),
            (u.prototype.bytes = function (s) {
                i.isString(s) && (s = i._Buffer_from(s, 'base64'));
                var d = s.length >>> 0;
                return this.uint32(d), d && this._push(u.writeBytesBuffer, d, s), this;
            });
        function n(s, d, f) {
            s.length < 40 ? i.utf8.write(s, d, f) : d.utf8Write ? d.utf8Write(s, f) : d.write(s, f);
        }
        (u.prototype.string = function (s) {
            var d = i.Buffer.byteLength(s);
            return this.uint32(d), d && this._push(n, d, s), this;
        }),
            u._configure();
    }),
    pi = me((t, e) => {
        e.exports = d;
        var o = Xt(),
            i,
            u = o.LongBits,
            n = o.utf8;
        function s(m, y) {
            return RangeError('index out of range: ' + m.pos + ' + ' + (y || 1) + ' > ' + m.len);
        }
        function d(m) {
            (this.buf = m), (this.pos = 0), (this.len = m.length);
        }
        var f =
                typeof Uint8Array < 'u'
                    ? function (m) {
                          if (m instanceof Uint8Array || Array.isArray(m)) return new d(m);
                          throw Error('illegal buffer');
                      }
                    : function (m) {
                          if (Array.isArray(m)) return new d(m);
                          throw Error('illegal buffer');
                      },
            r = function () {
                return o.Buffer
                    ? function (m) {
                          return (d.create = function (y) {
                              return o.Buffer.isBuffer(y) ? new i(y) : f(y);
                          })(m);
                      }
                    : f;
            };
        (d.create = r()),
            (d.prototype._slice = o.Array.prototype.subarray || o.Array.prototype.slice),
            (d.prototype.uint32 = (function () {
                var m = 4294967295;
                return function () {
                    if (
                        ((m = (this.buf[this.pos] & 127) >>> 0),
                        this.buf[this.pos++] < 128 ||
                            ((m = (m | ((this.buf[this.pos] & 127) << 7)) >>> 0), this.buf[this.pos++] < 128) ||
                            ((m = (m | ((this.buf[this.pos] & 127) << 14)) >>> 0), this.buf[this.pos++] < 128) ||
                            ((m = (m | ((this.buf[this.pos] & 127) << 21)) >>> 0), this.buf[this.pos++] < 128) ||
                            ((m = (m | ((this.buf[this.pos] & 15) << 28)) >>> 0), this.buf[this.pos++] < 128))
                    )
                        return m;
                    if ((this.pos += 5) > this.len) throw ((this.pos = this.len), s(this, 10));
                    return m;
                };
            })()),
            (d.prototype.int32 = function () {
                return this.uint32() | 0;
            }),
            (d.prototype.sint32 = function () {
                var m = this.uint32();
                return ((m >>> 1) ^ -(m & 1)) | 0;
            });
        function a() {
            var m = new u(0, 0),
                y = 0;
            if (this.len - this.pos > 4) {
                for (; y < 4; ++y)
                    if (((m.lo = (m.lo | ((this.buf[this.pos] & 127) << (y * 7))) >>> 0), this.buf[this.pos++] < 128))
                        return m;
                if (
                    ((m.lo = (m.lo | ((this.buf[this.pos] & 127) << 28)) >>> 0),
                    (m.hi = (m.hi | ((this.buf[this.pos] & 127) >> 4)) >>> 0),
                    this.buf[this.pos++] < 128)
                )
                    return m;
                y = 0;
            } else {
                for (; y < 3; ++y) {
                    if (this.pos >= this.len) throw s(this);
                    if (((m.lo = (m.lo | ((this.buf[this.pos] & 127) << (y * 7))) >>> 0), this.buf[this.pos++] < 128))
                        return m;
                }
                return (m.lo = (m.lo | ((this.buf[this.pos++] & 127) << (y * 7))) >>> 0), m;
            }
            if (this.len - this.pos > 4) {
                for (; y < 5; ++y)
                    if (
                        ((m.hi = (m.hi | ((this.buf[this.pos] & 127) << (y * 7 + 3))) >>> 0),
                        this.buf[this.pos++] < 128)
                    )
                        return m;
            } else
                for (; y < 5; ++y) {
                    if (this.pos >= this.len) throw s(this);
                    if (
                        ((m.hi = (m.hi | ((this.buf[this.pos] & 127) << (y * 7 + 3))) >>> 0),
                        this.buf[this.pos++] < 128)
                    )
                        return m;
                }
            throw Error('invalid varint encoding');
        }
        d.prototype.bool = function () {
            return this.uint32() !== 0;
        };
        function l(m, y) {
            return (m[y - 4] | (m[y - 3] << 8) | (m[y - 2] << 16) | (m[y - 1] << 24)) >>> 0;
        }
        (d.prototype.fixed32 = function () {
            if (this.pos + 4 > this.len) throw s(this, 4);
            return l(this.buf, (this.pos += 4));
        }),
            (d.prototype.sfixed32 = function () {
                if (this.pos + 4 > this.len) throw s(this, 4);
                return l(this.buf, (this.pos += 4)) | 0;
            });
        function p() {
            if (this.pos + 8 > this.len) throw s(this, 8);
            return new u(l(this.buf, (this.pos += 4)), l(this.buf, (this.pos += 4)));
        }
        (d.prototype.float = function () {
            if (this.pos + 4 > this.len) throw s(this, 4);
            var m = o.float.readFloatLE(this.buf, this.pos);
            return (this.pos += 4), m;
        }),
            (d.prototype.double = function () {
                if (this.pos + 8 > this.len) throw s(this, 4);
                var m = o.float.readDoubleLE(this.buf, this.pos);
                return (this.pos += 8), m;
            }),
            (d.prototype.bytes = function () {
                var m = this.uint32(),
                    y = this.pos,
                    T = this.pos + m;
                if (T > this.len) throw s(this, m);
                return (
                    (this.pos += m),
                    Array.isArray(this.buf)
                        ? this.buf.slice(y, T)
                        : y === T
                        ? new this.buf.constructor(0)
                        : this._slice.call(this.buf, y, T)
                );
            }),
            (d.prototype.string = function () {
                var m = this.bytes();
                return n.read(m, 0, m.length);
            }),
            (d.prototype.skip = function (m) {
                if (typeof m == 'number') {
                    if (this.pos + m > this.len) throw s(this, m);
                    this.pos += m;
                } else
                    do if (this.pos >= this.len) throw s(this);
                    while (this.buf[this.pos++] & 128);
                return this;
            }),
            (d.prototype.skipType = function (m) {
                switch (m) {
                    case 0:
                        this.skip();
                        break;
                    case 1:
                        this.skip(8);
                        break;
                    case 2:
                        this.skip(this.uint32());
                        break;
                    case 3:
                        for (; (m = this.uint32() & 7) !== 4; ) this.skipType(m);
                        break;
                    case 5:
                        this.skip(4);
                        break;
                    default:
                        throw Error('invalid wire type ' + m + ' at offset ' + this.pos);
                }
                return this;
            }),
            (d._configure = function (m) {
                (i = m), (d.create = r()), i._configure();
                var y = o.Long ? 'toLong' : 'toNumber';
                o.merge(d.prototype, {
                    int64: function () {
                        return a.call(this)[y](!1);
                    },
                    uint64: function () {
                        return a.call(this)[y](!0);
                    },
                    sint64: function () {
                        return a.call(this).zzDecode()[y](!1);
                    },
                    fixed64: function () {
                        return p.call(this)[y](!0);
                    },
                    sfixed64: function () {
                        return p.call(this)[y](!1);
                    },
                });
            });
    }),
    Tu = me((t, e) => {
        e.exports = u;
        var o = pi();
        (u.prototype = Object.create(o.prototype)).constructor = u;
        var i = Xt();
        function u(n) {
            o.call(this, n);
        }
        (u._configure = function () {
            i.Buffer && (u.prototype._slice = i.Buffer.prototype.slice);
        }),
            (u.prototype.string = function () {
                var n = this.uint32();
                return this.buf.utf8Slice
                    ? this.buf.utf8Slice(this.pos, (this.pos = Math.min(this.pos + n, this.len)))
                    : this.buf.toString('utf-8', this.pos, (this.pos = Math.min(this.pos + n, this.len)));
            }),
            u._configure();
    }),
    vu = me((t, e) => {
        e.exports = i;
        var o = Xt();
        (i.prototype = Object.create(o.EventEmitter.prototype)).constructor = i;
        function i(u, n, s) {
            if (typeof u != 'function') throw TypeError('rpcImpl must be a function');
            o.EventEmitter.call(this),
                (this.rpcImpl = u),
                (this.requestDelimited = !!n),
                (this.responseDelimited = !!s);
        }
        (i.prototype.rpcCall = function u(n, s, d, f, r) {
            if (!f) throw TypeError('request must be specified');
            var a = this;
            if (!r) return o.asPromise(u, a, n, s, d, f);
            if (!a.rpcImpl) {
                setTimeout(function () {
                    r(Error('already ended'));
                }, 0);
                return;
            }
            try {
                return a.rpcImpl(n, s[a.requestDelimited ? 'encodeDelimited' : 'encode'](f).finish(), function (l, p) {
                    if (l) return a.emit('error', l, n), r(l);
                    if (p === null) {
                        a.end(!0);
                        return;
                    }
                    if (!(p instanceof d))
                        try {
                            p = d[a.responseDelimited ? 'decodeDelimited' : 'decode'](p);
                        } catch (m) {
                            return a.emit('error', m, n), r(m);
                        }
                    return a.emit('data', p, n), r(null, p);
                });
            } catch (l) {
                a.emit('error', l, n),
                    setTimeout(function () {
                        r(l);
                    }, 0);
                return;
            }
        }),
            (i.prototype.end = function (u) {
                return (
                    this.rpcImpl &&
                        (u || this.rpcImpl(null, null, null), (this.rpcImpl = null), this.emit('end').off()),
                    this
                );
            });
    }),
    _u = me((t) => {
        var e = t;
        e.Service = vu();
    }),
    Iu = me((t, e) => {
        e.exports = {};
    }),
    Pu = me((t) => {
        var e = t;
        (e.build = 'minimal'),
            (e.Writer = li()),
            (e.BufferWriter = fu()),
            (e.Reader = pi()),
            (e.BufferReader = Tu()),
            (e.util = Xt()),
            (e.rpc = _u()),
            (e.roots = Iu()),
            (e.configure = o);
        function o() {
            e.util._configure(), e.Writer._configure(e.BufferWriter), e.Reader._configure(e.BufferReader);
        }
        o();
    }),
    Du = me((t, e) => {
        e.exports = Pu();
    }),
    $r = me((t, e) => {
        var o = Du(),
            i = o.Reader,
            u = o.Writer,
            n = o.util,
            s = o.roots.default || (o.roots.default = {});
        (s.onnx = (function () {
            var d = {};
            return (
                (d.Version = (function () {
                    var f = {},
                        r = Object.create(f);
                    return (
                        (r[(f[0] = '_START_VERSION')] = 0),
                        (r[(f[1] = 'IR_VERSION_2017_10_10')] = 1),
                        (r[(f[2] = 'IR_VERSION_2017_10_30')] = 2),
                        (r[(f[3] = 'IR_VERSION_2017_11_3')] = 3),
                        (r[(f[4] = 'IR_VERSION_2019_1_22')] = 4),
                        (r[(f[5] = 'IR_VERSION_2019_3_18')] = 5),
                        (r[(f[6] = 'IR_VERSION_2019_9_19')] = 6),
                        (r[(f[7] = 'IR_VERSION_2020_5_8')] = 7),
                        (r[(f[8] = 'IR_VERSION_2021_7_30')] = 8),
                        (r[(f[9] = 'IR_VERSION')] = 9),
                        r
                    );
                })()),
                (d.AttributeProto = (function () {
                    function f(r) {
                        if (
                            ((this.floats = []),
                            (this.ints = []),
                            (this.strings = []),
                            (this.tensors = []),
                            (this.graphs = []),
                            (this.sparseTensors = []),
                            (this.typeProtos = []),
                            r)
                        )
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.name = ''),
                        (f.prototype.refAttrName = ''),
                        (f.prototype.docString = ''),
                        (f.prototype.type = 0),
                        (f.prototype.f = 0),
                        (f.prototype.i = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
                        (f.prototype.s = n.newBuffer([])),
                        (f.prototype.t = null),
                        (f.prototype.g = null),
                        (f.prototype.sparseTensor = null),
                        (f.prototype.tp = null),
                        (f.prototype.floats = n.emptyArray),
                        (f.prototype.ints = n.emptyArray),
                        (f.prototype.strings = n.emptyArray),
                        (f.prototype.tensors = n.emptyArray),
                        (f.prototype.graphs = n.emptyArray),
                        (f.prototype.sparseTensors = n.emptyArray),
                        (f.prototype.typeProtos = n.emptyArray),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if (
                                (a || (a = u.create()),
                                r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(10).string(r.name),
                                r.f != null && Object.hasOwnProperty.call(r, 'f') && a.uint32(21).float(r.f),
                                r.i != null && Object.hasOwnProperty.call(r, 'i') && a.uint32(24).int64(r.i),
                                r.s != null && Object.hasOwnProperty.call(r, 's') && a.uint32(34).bytes(r.s),
                                r.t != null &&
                                    Object.hasOwnProperty.call(r, 't') &&
                                    s.onnx.TensorProto.encode(r.t, a.uint32(42).fork()).ldelim(),
                                r.g != null &&
                                    Object.hasOwnProperty.call(r, 'g') &&
                                    s.onnx.GraphProto.encode(r.g, a.uint32(50).fork()).ldelim(),
                                r.floats != null && r.floats.length)
                            ) {
                                a.uint32(58).fork();
                                for (var l = 0; l < r.floats.length; ++l) a.float(r.floats[l]);
                                a.ldelim();
                            }
                            if (r.ints != null && r.ints.length) {
                                a.uint32(66).fork();
                                for (var l = 0; l < r.ints.length; ++l) a.int64(r.ints[l]);
                                a.ldelim();
                            }
                            if (r.strings != null && r.strings.length)
                                for (var l = 0; l < r.strings.length; ++l) a.uint32(74).bytes(r.strings[l]);
                            if (r.tensors != null && r.tensors.length)
                                for (var l = 0; l < r.tensors.length; ++l)
                                    s.onnx.TensorProto.encode(r.tensors[l], a.uint32(82).fork()).ldelim();
                            if (r.graphs != null && r.graphs.length)
                                for (var l = 0; l < r.graphs.length; ++l)
                                    s.onnx.GraphProto.encode(r.graphs[l], a.uint32(90).fork()).ldelim();
                            if (
                                (r.docString != null &&
                                    Object.hasOwnProperty.call(r, 'docString') &&
                                    a.uint32(106).string(r.docString),
                                r.tp != null &&
                                    Object.hasOwnProperty.call(r, 'tp') &&
                                    s.onnx.TypeProto.encode(r.tp, a.uint32(114).fork()).ldelim(),
                                r.typeProtos != null && r.typeProtos.length)
                            )
                                for (var l = 0; l < r.typeProtos.length; ++l)
                                    s.onnx.TypeProto.encode(r.typeProtos[l], a.uint32(122).fork()).ldelim();
                            if (
                                (r.type != null && Object.hasOwnProperty.call(r, 'type') && a.uint32(160).int32(r.type),
                                r.refAttrName != null &&
                                    Object.hasOwnProperty.call(r, 'refAttrName') &&
                                    a.uint32(170).string(r.refAttrName),
                                r.sparseTensor != null &&
                                    Object.hasOwnProperty.call(r, 'sparseTensor') &&
                                    s.onnx.SparseTensorProto.encode(r.sparseTensor, a.uint32(178).fork()).ldelim(),
                                r.sparseTensors != null && r.sparseTensors.length)
                            )
                                for (var l = 0; l < r.sparseTensors.length; ++l)
                                    s.onnx.SparseTensorProto.encode(r.sparseTensors[l], a.uint32(186).fork()).ldelim();
                            return a;
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (
                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.AttributeProto();
                                r.pos < l;

                            ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        p.name = r.string();
                                        break;
                                    }
                                    case 21: {
                                        p.refAttrName = r.string();
                                        break;
                                    }
                                    case 13: {
                                        p.docString = r.string();
                                        break;
                                    }
                                    case 20: {
                                        p.type = r.int32();
                                        break;
                                    }
                                    case 2: {
                                        p.f = r.float();
                                        break;
                                    }
                                    case 3: {
                                        p.i = r.int64();
                                        break;
                                    }
                                    case 4: {
                                        p.s = r.bytes();
                                        break;
                                    }
                                    case 5: {
                                        p.t = s.onnx.TensorProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 6: {
                                        p.g = s.onnx.GraphProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 22: {
                                        p.sparseTensor = s.onnx.SparseTensorProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 14: {
                                        p.tp = s.onnx.TypeProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 7: {
                                        if (((p.floats && p.floats.length) || (p.floats = []), (m & 7) === 2))
                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.floats.push(r.float());
                                        else p.floats.push(r.float());
                                        break;
                                    }
                                    case 8: {
                                        if (((p.ints && p.ints.length) || (p.ints = []), (m & 7) === 2))
                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.ints.push(r.int64());
                                        else p.ints.push(r.int64());
                                        break;
                                    }
                                    case 9: {
                                        (p.strings && p.strings.length) || (p.strings = []), p.strings.push(r.bytes());
                                        break;
                                    }
                                    case 10: {
                                        (p.tensors && p.tensors.length) || (p.tensors = []),
                                            p.tensors.push(s.onnx.TensorProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 11: {
                                        (p.graphs && p.graphs.length) || (p.graphs = []),
                                            p.graphs.push(s.onnx.GraphProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 23: {
                                        (p.sparseTensors && p.sparseTensors.length) || (p.sparseTensors = []),
                                            p.sparseTensors.push(s.onnx.SparseTensorProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 15: {
                                        (p.typeProtos && p.typeProtos.length) || (p.typeProtos = []),
                                            p.typeProtos.push(s.onnx.TypeProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
                                return 'name: string expected';
                            if (r.refAttrName != null && r.hasOwnProperty('refAttrName') && !n.isString(r.refAttrName))
                                return 'refAttrName: string expected';
                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
                                return 'docString: string expected';
                            if (r.type != null && r.hasOwnProperty('type'))
                                switch (r.type) {
                                    default:
                                        return 'type: enum value expected';
                                    case 0:
                                    case 1:
                                    case 2:
                                    case 3:
                                    case 4:
                                    case 5:
                                    case 11:
                                    case 13:
                                    case 6:
                                    case 7:
                                    case 8:
                                    case 9:
                                    case 10:
                                    case 12:
                                    case 14:
                                        break;
                                }
                            if (r.f != null && r.hasOwnProperty('f') && typeof r.f != 'number')
                                return 'f: number expected';
                            if (
                                r.i != null &&
                                r.hasOwnProperty('i') &&
                                !n.isInteger(r.i) &&
                                !(r.i && n.isInteger(r.i.low) && n.isInteger(r.i.high))
                            )
                                return 'i: integer|Long expected';
                            if (
                                r.s != null &&
                                r.hasOwnProperty('s') &&
                                !((r.s && typeof r.s.length == 'number') || n.isString(r.s))
                            )
                                return 's: buffer expected';
                            if (r.t != null && r.hasOwnProperty('t')) {
                                var a = s.onnx.TensorProto.verify(r.t);
                                if (a) return 't.' + a;
                            }
                            if (r.g != null && r.hasOwnProperty('g')) {
                                var a = s.onnx.GraphProto.verify(r.g);
                                if (a) return 'g.' + a;
                            }
                            if (r.sparseTensor != null && r.hasOwnProperty('sparseTensor')) {
                                var a = s.onnx.SparseTensorProto.verify(r.sparseTensor);
                                if (a) return 'sparseTensor.' + a;
                            }
                            if (r.tp != null && r.hasOwnProperty('tp')) {
                                var a = s.onnx.TypeProto.verify(r.tp);
                                if (a) return 'tp.' + a;
                            }
                            if (r.floats != null && r.hasOwnProperty('floats')) {
                                if (!Array.isArray(r.floats)) return 'floats: array expected';
                                for (var l = 0; l < r.floats.length; ++l)
                                    if (typeof r.floats[l] != 'number') return 'floats: number[] expected';
                            }
                            if (r.ints != null && r.hasOwnProperty('ints')) {
                                if (!Array.isArray(r.ints)) return 'ints: array expected';
                                for (var l = 0; l < r.ints.length; ++l)
                                    if (
                                        !n.isInteger(r.ints[l]) &&
                                        !(r.ints[l] && n.isInteger(r.ints[l].low) && n.isInteger(r.ints[l].high))
                                    )
                                        return 'ints: integer|Long[] expected';
                            }
                            if (r.strings != null && r.hasOwnProperty('strings')) {
                                if (!Array.isArray(r.strings)) return 'strings: array expected';
                                for (var l = 0; l < r.strings.length; ++l)
                                    if (
                                        !(
                                            (r.strings[l] && typeof r.strings[l].length == 'number') ||
                                            n.isString(r.strings[l])
                                        )
                                    )
                                        return 'strings: buffer[] expected';
                            }
                            if (r.tensors != null && r.hasOwnProperty('tensors')) {
                                if (!Array.isArray(r.tensors)) return 'tensors: array expected';
                                for (var l = 0; l < r.tensors.length; ++l) {
                                    var a = s.onnx.TensorProto.verify(r.tensors[l]);
                                    if (a) return 'tensors.' + a;
                                }
                            }
                            if (r.graphs != null && r.hasOwnProperty('graphs')) {
                                if (!Array.isArray(r.graphs)) return 'graphs: array expected';
                                for (var l = 0; l < r.graphs.length; ++l) {
                                    var a = s.onnx.GraphProto.verify(r.graphs[l]);
                                    if (a) return 'graphs.' + a;
                                }
                            }
                            if (r.sparseTensors != null && r.hasOwnProperty('sparseTensors')) {
                                if (!Array.isArray(r.sparseTensors)) return 'sparseTensors: array expected';
                                for (var l = 0; l < r.sparseTensors.length; ++l) {
                                    var a = s.onnx.SparseTensorProto.verify(r.sparseTensors[l]);
                                    if (a) return 'sparseTensors.' + a;
                                }
                            }
                            if (r.typeProtos != null && r.hasOwnProperty('typeProtos')) {
                                if (!Array.isArray(r.typeProtos)) return 'typeProtos: array expected';
                                for (var l = 0; l < r.typeProtos.length; ++l) {
                                    var a = s.onnx.TypeProto.verify(r.typeProtos[l]);
                                    if (a) return 'typeProtos.' + a;
                                }
                            }
                            return null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.AttributeProto) return r;
                            var a = new s.onnx.AttributeProto();
                            switch (
                                (r.name != null && (a.name = String(r.name)),
                                r.refAttrName != null && (a.refAttrName = String(r.refAttrName)),
                                r.docString != null && (a.docString = String(r.docString)),
                                r.type)
                            ) {
                                default:
                                    if (typeof r.type == 'number') {
                                        a.type = r.type;
                                        break;
                                    }
                                    break;
                                case 'UNDEFINED':
                                case 0:
                                    a.type = 0;
                                    break;
                                case 'FLOAT':
                                case 1:
                                    a.type = 1;
                                    break;
                                case 'INT':
                                case 2:
                                    a.type = 2;
                                    break;
                                case 'STRING':
                                case 3:
                                    a.type = 3;
                                    break;
                                case 'TENSOR':
                                case 4:
                                    a.type = 4;
                                    break;
                                case 'GRAPH':
                                case 5:
                                    a.type = 5;
                                    break;
                                case 'SPARSE_TENSOR':
                                case 11:
                                    a.type = 11;
                                    break;
                                case 'TYPE_PROTO':
                                case 13:
                                    a.type = 13;
                                    break;
                                case 'FLOATS':
                                case 6:
                                    a.type = 6;
                                    break;
                                case 'INTS':
                                case 7:
                                    a.type = 7;
                                    break;
                                case 'STRINGS':
                                case 8:
                                    a.type = 8;
                                    break;
                                case 'TENSORS':
                                case 9:
                                    a.type = 9;
                                    break;
                                case 'GRAPHS':
                                case 10:
                                    a.type = 10;
                                    break;
                                case 'SPARSE_TENSORS':
                                case 12:
                                    a.type = 12;
                                    break;
                                case 'TYPE_PROTOS':
                                case 14:
                                    a.type = 14;
                                    break;
                            }
                            if (
                                (r.f != null && (a.f = Number(r.f)),
                                r.i != null &&
                                    (n.Long
                                        ? ((a.i = n.Long.fromValue(r.i)).unsigned = !1)
                                        : typeof r.i == 'string'
                                        ? (a.i = parseInt(r.i, 10))
                                        : typeof r.i == 'number'
                                        ? (a.i = r.i)
                                        : typeof r.i == 'object' &&
                                          (a.i = new n.LongBits(r.i.low >>> 0, r.i.high >>> 0).toNumber())),
                                r.s != null &&
                                    (typeof r.s == 'string'
                                        ? n.base64.decode(r.s, (a.s = n.newBuffer(n.base64.length(r.s))), 0)
                                        : r.s.length >= 0 && (a.s = r.s)),
                                r.t != null)
                            ) {
                                if (typeof r.t != 'object') throw TypeError('.onnx.AttributeProto.t: object expected');
                                a.t = s.onnx.TensorProto.fromObject(r.t);
                            }
                            if (r.g != null) {
                                if (typeof r.g != 'object') throw TypeError('.onnx.AttributeProto.g: object expected');
                                a.g = s.onnx.GraphProto.fromObject(r.g);
                            }
                            if (r.sparseTensor != null) {
                                if (typeof r.sparseTensor != 'object')
                                    throw TypeError('.onnx.AttributeProto.sparseTensor: object expected');
                                a.sparseTensor = s.onnx.SparseTensorProto.fromObject(r.sparseTensor);
                            }
                            if (r.tp != null) {
                                if (typeof r.tp != 'object')
                                    throw TypeError('.onnx.AttributeProto.tp: object expected');
                                a.tp = s.onnx.TypeProto.fromObject(r.tp);
                            }
                            if (r.floats) {
                                if (!Array.isArray(r.floats))
                                    throw TypeError('.onnx.AttributeProto.floats: array expected');
                                a.floats = [];
                                for (var l = 0; l < r.floats.length; ++l) a.floats[l] = Number(r.floats[l]);
                            }
                            if (r.ints) {
                                if (!Array.isArray(r.ints))
                                    throw TypeError('.onnx.AttributeProto.ints: array expected');
                                a.ints = [];
                                for (var l = 0; l < r.ints.length; ++l)
                                    n.Long
                                        ? ((a.ints[l] = n.Long.fromValue(r.ints[l])).unsigned = !1)
                                        : typeof r.ints[l] == 'string'
                                        ? (a.ints[l] = parseInt(r.ints[l], 10))
                                        : typeof r.ints[l] == 'number'
                                        ? (a.ints[l] = r.ints[l])
                                        : typeof r.ints[l] == 'object' &&
                                          (a.ints[l] = new n.LongBits(
                                              r.ints[l].low >>> 0,
                                              r.ints[l].high >>> 0
                                          ).toNumber());
                            }
                            if (r.strings) {
                                if (!Array.isArray(r.strings))
                                    throw TypeError('.onnx.AttributeProto.strings: array expected');
                                a.strings = [];
                                for (var l = 0; l < r.strings.length; ++l)
                                    typeof r.strings[l] == 'string'
                                        ? n.base64.decode(
                                              r.strings[l],
                                              (a.strings[l] = n.newBuffer(n.base64.length(r.strings[l]))),
                                              0
                                          )
                                        : r.strings[l].length >= 0 && (a.strings[l] = r.strings[l]);
                            }
                            if (r.tensors) {
                                if (!Array.isArray(r.tensors))
                                    throw TypeError('.onnx.AttributeProto.tensors: array expected');
                                a.tensors = [];
                                for (var l = 0; l < r.tensors.length; ++l) {
                                    if (typeof r.tensors[l] != 'object')
                                        throw TypeError('.onnx.AttributeProto.tensors: object expected');
                                    a.tensors[l] = s.onnx.TensorProto.fromObject(r.tensors[l]);
                                }
                            }
                            if (r.graphs) {
                                if (!Array.isArray(r.graphs))
                                    throw TypeError('.onnx.AttributeProto.graphs: array expected');
                                a.graphs = [];
                                for (var l = 0; l < r.graphs.length; ++l) {
                                    if (typeof r.graphs[l] != 'object')
                                        throw TypeError('.onnx.AttributeProto.graphs: object expected');
                                    a.graphs[l] = s.onnx.GraphProto.fromObject(r.graphs[l]);
                                }
                            }
                            if (r.sparseTensors) {
                                if (!Array.isArray(r.sparseTensors))
                                    throw TypeError('.onnx.AttributeProto.sparseTensors: array expected');
                                a.sparseTensors = [];
                                for (var l = 0; l < r.sparseTensors.length; ++l) {
                                    if (typeof r.sparseTensors[l] != 'object')
                                        throw TypeError('.onnx.AttributeProto.sparseTensors: object expected');
                                    a.sparseTensors[l] = s.onnx.SparseTensorProto.fromObject(r.sparseTensors[l]);
                                }
                            }
                            if (r.typeProtos) {
                                if (!Array.isArray(r.typeProtos))
                                    throw TypeError('.onnx.AttributeProto.typeProtos: array expected');
                                a.typeProtos = [];
                                for (var l = 0; l < r.typeProtos.length; ++l) {
                                    if (typeof r.typeProtos[l] != 'object')
                                        throw TypeError('.onnx.AttributeProto.typeProtos: object expected');
                                    a.typeProtos[l] = s.onnx.TypeProto.fromObject(r.typeProtos[l]);
                                }
                            }
                            return a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (
                                ((a.arrays || a.defaults) &&
                                    ((l.floats = []),
                                    (l.ints = []),
                                    (l.strings = []),
                                    (l.tensors = []),
                                    (l.graphs = []),
                                    (l.typeProtos = []),
                                    (l.sparseTensors = [])),
                                a.defaults)
                            ) {
                                if (((l.name = ''), (l.f = 0), n.Long)) {
                                    var p = new n.Long(0, 0, !1);
                                    l.i = a.longs === String ? p.toString() : a.longs === Number ? p.toNumber() : p;
                                } else l.i = a.longs === String ? '0' : 0;
                                a.bytes === String
                                    ? (l.s = '')
                                    : ((l.s = []), a.bytes !== Array && (l.s = n.newBuffer(l.s))),
                                    (l.t = null),
                                    (l.g = null),
                                    (l.docString = ''),
                                    (l.tp = null),
                                    (l.type = a.enums === String ? 'UNDEFINED' : 0),
                                    (l.refAttrName = ''),
                                    (l.sparseTensor = null);
                            }
                            if (
                                (r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
                                r.f != null &&
                                    r.hasOwnProperty('f') &&
                                    (l.f = a.json && !isFinite(r.f) ? String(r.f) : r.f),
                                r.i != null &&
                                    r.hasOwnProperty('i') &&
                                    (typeof r.i == 'number'
                                        ? (l.i = a.longs === String ? String(r.i) : r.i)
                                        : (l.i =
                                              a.longs === String
                                                  ? n.Long.prototype.toString.call(r.i)
                                                  : a.longs === Number
                                                  ? new n.LongBits(r.i.low >>> 0, r.i.high >>> 0).toNumber()
                                                  : r.i)),
                                r.s != null &&
                                    r.hasOwnProperty('s') &&
                                    (l.s =
                                        a.bytes === String
                                            ? n.base64.encode(r.s, 0, r.s.length)
                                            : a.bytes === Array
                                            ? Array.prototype.slice.call(r.s)
                                            : r.s),
                                r.t != null && r.hasOwnProperty('t') && (l.t = s.onnx.TensorProto.toObject(r.t, a)),
                                r.g != null && r.hasOwnProperty('g') && (l.g = s.onnx.GraphProto.toObject(r.g, a)),
                                r.floats && r.floats.length)
                            ) {
                                l.floats = [];
                                for (var m = 0; m < r.floats.length; ++m)
                                    l.floats[m] = a.json && !isFinite(r.floats[m]) ? String(r.floats[m]) : r.floats[m];
                            }
                            if (r.ints && r.ints.length) {
                                l.ints = [];
                                for (var m = 0; m < r.ints.length; ++m)
                                    typeof r.ints[m] == 'number'
                                        ? (l.ints[m] = a.longs === String ? String(r.ints[m]) : r.ints[m])
                                        : (l.ints[m] =
                                              a.longs === String
                                                  ? n.Long.prototype.toString.call(r.ints[m])
                                                  : a.longs === Number
                                                  ? new n.LongBits(r.ints[m].low >>> 0, r.ints[m].high >>> 0).toNumber()
                                                  : r.ints[m]);
                            }
                            if (r.strings && r.strings.length) {
                                l.strings = [];
                                for (var m = 0; m < r.strings.length; ++m)
                                    l.strings[m] =
                                        a.bytes === String
                                            ? n.base64.encode(r.strings[m], 0, r.strings[m].length)
                                            : a.bytes === Array
                                            ? Array.prototype.slice.call(r.strings[m])
                                            : r.strings[m];
                            }
                            if (r.tensors && r.tensors.length) {
                                l.tensors = [];
                                for (var m = 0; m < r.tensors.length; ++m)
                                    l.tensors[m] = s.onnx.TensorProto.toObject(r.tensors[m], a);
                            }
                            if (r.graphs && r.graphs.length) {
                                l.graphs = [];
                                for (var m = 0; m < r.graphs.length; ++m)
                                    l.graphs[m] = s.onnx.GraphProto.toObject(r.graphs[m], a);
                            }
                            if (
                                (r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
                                r.tp != null && r.hasOwnProperty('tp') && (l.tp = s.onnx.TypeProto.toObject(r.tp, a)),
                                r.typeProtos && r.typeProtos.length)
                            ) {
                                l.typeProtos = [];
                                for (var m = 0; m < r.typeProtos.length; ++m)
                                    l.typeProtos[m] = s.onnx.TypeProto.toObject(r.typeProtos[m], a);
                            }
                            if (
                                (r.type != null &&
                                    r.hasOwnProperty('type') &&
                                    (l.type =
                                        a.enums === String
                                            ? s.onnx.AttributeProto.AttributeType[r.type] === void 0
                                                ? r.type
                                                : s.onnx.AttributeProto.AttributeType[r.type]
                                            : r.type),
                                r.refAttrName != null &&
                                    r.hasOwnProperty('refAttrName') &&
                                    (l.refAttrName = r.refAttrName),
                                r.sparseTensor != null &&
                                    r.hasOwnProperty('sparseTensor') &&
                                    (l.sparseTensor = s.onnx.SparseTensorProto.toObject(r.sparseTensor, a)),
                                r.sparseTensors && r.sparseTensors.length)
                            ) {
                                l.sparseTensors = [];
                                for (var m = 0; m < r.sparseTensors.length; ++m)
                                    l.sparseTensors[m] = s.onnx.SparseTensorProto.toObject(r.sparseTensors[m], a);
                            }
                            return l;
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.AttributeProto';
                        }),
                        (f.AttributeType = (function () {
                            var r = {},
                                a = Object.create(r);
                            return (
                                (a[(r[0] = 'UNDEFINED')] = 0),
                                (a[(r[1] = 'FLOAT')] = 1),
                                (a[(r[2] = 'INT')] = 2),
                                (a[(r[3] = 'STRING')] = 3),
                                (a[(r[4] = 'TENSOR')] = 4),
                                (a[(r[5] = 'GRAPH')] = 5),
                                (a[(r[11] = 'SPARSE_TENSOR')] = 11),
                                (a[(r[13] = 'TYPE_PROTO')] = 13),
                                (a[(r[6] = 'FLOATS')] = 6),
                                (a[(r[7] = 'INTS')] = 7),
                                (a[(r[8] = 'STRINGS')] = 8),
                                (a[(r[9] = 'TENSORS')] = 9),
                                (a[(r[10] = 'GRAPHS')] = 10),
                                (a[(r[12] = 'SPARSE_TENSORS')] = 12),
                                (a[(r[14] = 'TYPE_PROTOS')] = 14),
                                a
                            );
                        })()),
                        f
                    );
                })()),
                (d.ValueInfoProto = (function () {
                    function f(r) {
                        if (r)
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.name = ''),
                        (f.prototype.type = null),
                        (f.prototype.docString = ''),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            return (
                                a || (a = u.create()),
                                r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(10).string(r.name),
                                r.type != null &&
                                    Object.hasOwnProperty.call(r, 'type') &&
                                    s.onnx.TypeProto.encode(r.type, a.uint32(18).fork()).ldelim(),
                                r.docString != null &&
                                    Object.hasOwnProperty.call(r, 'docString') &&
                                    a.uint32(26).string(r.docString),
                                a
                            );
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (
                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.ValueInfoProto();
                                r.pos < l;

                            ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        p.name = r.string();
                                        break;
                                    }
                                    case 2: {
                                        p.type = s.onnx.TypeProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 3: {
                                        p.docString = r.string();
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
                                return 'name: string expected';
                            if (r.type != null && r.hasOwnProperty('type')) {
                                var a = s.onnx.TypeProto.verify(r.type);
                                if (a) return 'type.' + a;
                            }
                            return r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString)
                                ? 'docString: string expected'
                                : null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.ValueInfoProto) return r;
                            var a = new s.onnx.ValueInfoProto();
                            if ((r.name != null && (a.name = String(r.name)), r.type != null)) {
                                if (typeof r.type != 'object')
                                    throw TypeError('.onnx.ValueInfoProto.type: object expected');
                                a.type = s.onnx.TypeProto.fromObject(r.type);
                            }
                            return r.docString != null && (a.docString = String(r.docString)), a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            return (
                                a.defaults && ((l.name = ''), (l.type = null), (l.docString = '')),
                                r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
                                r.type != null &&
                                    r.hasOwnProperty('type') &&
                                    (l.type = s.onnx.TypeProto.toObject(r.type, a)),
                                r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
                                l
                            );
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.ValueInfoProto';
                        }),
                        f
                    );
                })()),
                (d.NodeProto = (function () {
                    function f(r) {
                        if (((this.input = []), (this.output = []), (this.attribute = []), r))
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.input = n.emptyArray),
                        (f.prototype.output = n.emptyArray),
                        (f.prototype.name = ''),
                        (f.prototype.opType = ''),
                        (f.prototype.domain = ''),
                        (f.prototype.attribute = n.emptyArray),
                        (f.prototype.docString = ''),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if ((a || (a = u.create()), r.input != null && r.input.length))
                                for (var l = 0; l < r.input.length; ++l) a.uint32(10).string(r.input[l]);
                            if (r.output != null && r.output.length)
                                for (var l = 0; l < r.output.length; ++l) a.uint32(18).string(r.output[l]);
                            if (
                                (r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(26).string(r.name),
                                r.opType != null &&
                                    Object.hasOwnProperty.call(r, 'opType') &&
                                    a.uint32(34).string(r.opType),
                                r.attribute != null && r.attribute.length)
                            )
                                for (var l = 0; l < r.attribute.length; ++l)
                                    s.onnx.AttributeProto.encode(r.attribute[l], a.uint32(42).fork()).ldelim();
                            return (
                                r.docString != null &&
                                    Object.hasOwnProperty.call(r, 'docString') &&
                                    a.uint32(50).string(r.docString),
                                r.domain != null &&
                                    Object.hasOwnProperty.call(r, 'domain') &&
                                    a.uint32(58).string(r.domain),
                                a
                            );
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.NodeProto(); r.pos < l; ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        (p.input && p.input.length) || (p.input = []), p.input.push(r.string());
                                        break;
                                    }
                                    case 2: {
                                        (p.output && p.output.length) || (p.output = []), p.output.push(r.string());
                                        break;
                                    }
                                    case 3: {
                                        p.name = r.string();
                                        break;
                                    }
                                    case 4: {
                                        p.opType = r.string();
                                        break;
                                    }
                                    case 7: {
                                        p.domain = r.string();
                                        break;
                                    }
                                    case 5: {
                                        (p.attribute && p.attribute.length) || (p.attribute = []),
                                            p.attribute.push(s.onnx.AttributeProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 6: {
                                        p.docString = r.string();
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.input != null && r.hasOwnProperty('input')) {
                                if (!Array.isArray(r.input)) return 'input: array expected';
                                for (var a = 0; a < r.input.length; ++a)
                                    if (!n.isString(r.input[a])) return 'input: string[] expected';
                            }
                            if (r.output != null && r.hasOwnProperty('output')) {
                                if (!Array.isArray(r.output)) return 'output: array expected';
                                for (var a = 0; a < r.output.length; ++a)
                                    if (!n.isString(r.output[a])) return 'output: string[] expected';
                            }
                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
                                return 'name: string expected';
                            if (r.opType != null && r.hasOwnProperty('opType') && !n.isString(r.opType))
                                return 'opType: string expected';
                            if (r.domain != null && r.hasOwnProperty('domain') && !n.isString(r.domain))
                                return 'domain: string expected';
                            if (r.attribute != null && r.hasOwnProperty('attribute')) {
                                if (!Array.isArray(r.attribute)) return 'attribute: array expected';
                                for (var a = 0; a < r.attribute.length; ++a) {
                                    var l = s.onnx.AttributeProto.verify(r.attribute[a]);
                                    if (l) return 'attribute.' + l;
                                }
                            }
                            return r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString)
                                ? 'docString: string expected'
                                : null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.NodeProto) return r;
                            var a = new s.onnx.NodeProto();
                            if (r.input) {
                                if (!Array.isArray(r.input)) throw TypeError('.onnx.NodeProto.input: array expected');
                                a.input = [];
                                for (var l = 0; l < r.input.length; ++l) a.input[l] = String(r.input[l]);
                            }
                            if (r.output) {
                                if (!Array.isArray(r.output)) throw TypeError('.onnx.NodeProto.output: array expected');
                                a.output = [];
                                for (var l = 0; l < r.output.length; ++l) a.output[l] = String(r.output[l]);
                            }
                            if (
                                (r.name != null && (a.name = String(r.name)),
                                r.opType != null && (a.opType = String(r.opType)),
                                r.domain != null && (a.domain = String(r.domain)),
                                r.attribute)
                            ) {
                                if (!Array.isArray(r.attribute))
                                    throw TypeError('.onnx.NodeProto.attribute: array expected');
                                a.attribute = [];
                                for (var l = 0; l < r.attribute.length; ++l) {
                                    if (typeof r.attribute[l] != 'object')
                                        throw TypeError('.onnx.NodeProto.attribute: object expected');
                                    a.attribute[l] = s.onnx.AttributeProto.fromObject(r.attribute[l]);
                                }
                            }
                            return r.docString != null && (a.docString = String(r.docString)), a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (
                                ((a.arrays || a.defaults) && ((l.input = []), (l.output = []), (l.attribute = [])),
                                a.defaults && ((l.name = ''), (l.opType = ''), (l.docString = ''), (l.domain = '')),
                                r.input && r.input.length)
                            ) {
                                l.input = [];
                                for (var p = 0; p < r.input.length; ++p) l.input[p] = r.input[p];
                            }
                            if (r.output && r.output.length) {
                                l.output = [];
                                for (var p = 0; p < r.output.length; ++p) l.output[p] = r.output[p];
                            }
                            if (
                                (r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
                                r.opType != null && r.hasOwnProperty('opType') && (l.opType = r.opType),
                                r.attribute && r.attribute.length)
                            ) {
                                l.attribute = [];
                                for (var p = 0; p < r.attribute.length; ++p)
                                    l.attribute[p] = s.onnx.AttributeProto.toObject(r.attribute[p], a);
                            }
                            return (
                                r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
                                r.domain != null && r.hasOwnProperty('domain') && (l.domain = r.domain),
                                l
                            );
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.NodeProto';
                        }),
                        f
                    );
                })()),
                (d.TrainingInfoProto = (function () {
                    function f(r) {
                        if (((this.initializationBinding = []), (this.updateBinding = []), r))
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.initialization = null),
                        (f.prototype.algorithm = null),
                        (f.prototype.initializationBinding = n.emptyArray),
                        (f.prototype.updateBinding = n.emptyArray),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if (
                                (a || (a = u.create()),
                                r.initialization != null &&
                                    Object.hasOwnProperty.call(r, 'initialization') &&
                                    s.onnx.GraphProto.encode(r.initialization, a.uint32(10).fork()).ldelim(),
                                r.algorithm != null &&
                                    Object.hasOwnProperty.call(r, 'algorithm') &&
                                    s.onnx.GraphProto.encode(r.algorithm, a.uint32(18).fork()).ldelim(),
                                r.initializationBinding != null && r.initializationBinding.length)
                            )
                                for (var l = 0; l < r.initializationBinding.length; ++l)
                                    s.onnx.StringStringEntryProto.encode(
                                        r.initializationBinding[l],
                                        a.uint32(26).fork()
                                    ).ldelim();
                            if (r.updateBinding != null && r.updateBinding.length)
                                for (var l = 0; l < r.updateBinding.length; ++l)
                                    s.onnx.StringStringEntryProto.encode(
                                        r.updateBinding[l],
                                        a.uint32(34).fork()
                                    ).ldelim();
                            return a;
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (
                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.TrainingInfoProto();
                                r.pos < l;

                            ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        p.initialization = s.onnx.GraphProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 2: {
                                        p.algorithm = s.onnx.GraphProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 3: {
                                        (p.initializationBinding && p.initializationBinding.length) ||
                                            (p.initializationBinding = []),
                                            p.initializationBinding.push(
                                                s.onnx.StringStringEntryProto.decode(r, r.uint32())
                                            );
                                        break;
                                    }
                                    case 4: {
                                        (p.updateBinding && p.updateBinding.length) || (p.updateBinding = []),
                                            p.updateBinding.push(s.onnx.StringStringEntryProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.initialization != null && r.hasOwnProperty('initialization')) {
                                var a = s.onnx.GraphProto.verify(r.initialization);
                                if (a) return 'initialization.' + a;
                            }
                            if (r.algorithm != null && r.hasOwnProperty('algorithm')) {
                                var a = s.onnx.GraphProto.verify(r.algorithm);
                                if (a) return 'algorithm.' + a;
                            }
                            if (r.initializationBinding != null && r.hasOwnProperty('initializationBinding')) {
                                if (!Array.isArray(r.initializationBinding))
                                    return 'initializationBinding: array expected';
                                for (var l = 0; l < r.initializationBinding.length; ++l) {
                                    var a = s.onnx.StringStringEntryProto.verify(r.initializationBinding[l]);
                                    if (a) return 'initializationBinding.' + a;
                                }
                            }
                            if (r.updateBinding != null && r.hasOwnProperty('updateBinding')) {
                                if (!Array.isArray(r.updateBinding)) return 'updateBinding: array expected';
                                for (var l = 0; l < r.updateBinding.length; ++l) {
                                    var a = s.onnx.StringStringEntryProto.verify(r.updateBinding[l]);
                                    if (a) return 'updateBinding.' + a;
                                }
                            }
                            return null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.TrainingInfoProto) return r;
                            var a = new s.onnx.TrainingInfoProto();
                            if (r.initialization != null) {
                                if (typeof r.initialization != 'object')
                                    throw TypeError('.onnx.TrainingInfoProto.initialization: object expected');
                                a.initialization = s.onnx.GraphProto.fromObject(r.initialization);
                            }
                            if (r.algorithm != null) {
                                if (typeof r.algorithm != 'object')
                                    throw TypeError('.onnx.TrainingInfoProto.algorithm: object expected');
                                a.algorithm = s.onnx.GraphProto.fromObject(r.algorithm);
                            }
                            if (r.initializationBinding) {
                                if (!Array.isArray(r.initializationBinding))
                                    throw TypeError('.onnx.TrainingInfoProto.initializationBinding: array expected');
                                a.initializationBinding = [];
                                for (var l = 0; l < r.initializationBinding.length; ++l) {
                                    if (typeof r.initializationBinding[l] != 'object')
                                        throw TypeError(
                                            '.onnx.TrainingInfoProto.initializationBinding: object expected'
                                        );
                                    a.initializationBinding[l] = s.onnx.StringStringEntryProto.fromObject(
                                        r.initializationBinding[l]
                                    );
                                }
                            }
                            if (r.updateBinding) {
                                if (!Array.isArray(r.updateBinding))
                                    throw TypeError('.onnx.TrainingInfoProto.updateBinding: array expected');
                                a.updateBinding = [];
                                for (var l = 0; l < r.updateBinding.length; ++l) {
                                    if (typeof r.updateBinding[l] != 'object')
                                        throw TypeError('.onnx.TrainingInfoProto.updateBinding: object expected');
                                    a.updateBinding[l] = s.onnx.StringStringEntryProto.fromObject(r.updateBinding[l]);
                                }
                            }
                            return a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (
                                ((a.arrays || a.defaults) && ((l.initializationBinding = []), (l.updateBinding = [])),
                                a.defaults && ((l.initialization = null), (l.algorithm = null)),
                                r.initialization != null &&
                                    r.hasOwnProperty('initialization') &&
                                    (l.initialization = s.onnx.GraphProto.toObject(r.initialization, a)),
                                r.algorithm != null &&
                                    r.hasOwnProperty('algorithm') &&
                                    (l.algorithm = s.onnx.GraphProto.toObject(r.algorithm, a)),
                                r.initializationBinding && r.initializationBinding.length)
                            ) {
                                l.initializationBinding = [];
                                for (var p = 0; p < r.initializationBinding.length; ++p)
                                    l.initializationBinding[p] = s.onnx.StringStringEntryProto.toObject(
                                        r.initializationBinding[p],
                                        a
                                    );
                            }
                            if (r.updateBinding && r.updateBinding.length) {
                                l.updateBinding = [];
                                for (var p = 0; p < r.updateBinding.length; ++p)
                                    l.updateBinding[p] = s.onnx.StringStringEntryProto.toObject(r.updateBinding[p], a);
                            }
                            return l;
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.TrainingInfoProto';
                        }),
                        f
                    );
                })()),
                (d.ModelProto = (function () {
                    function f(r) {
                        if (
                            ((this.opsetImport = []),
                            (this.metadataProps = []),
                            (this.trainingInfo = []),
                            (this.functions = []),
                            r)
                        )
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.irVersion = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
                        (f.prototype.opsetImport = n.emptyArray),
                        (f.prototype.producerName = ''),
                        (f.prototype.producerVersion = ''),
                        (f.prototype.domain = ''),
                        (f.prototype.modelVersion = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
                        (f.prototype.docString = ''),
                        (f.prototype.graph = null),
                        (f.prototype.metadataProps = n.emptyArray),
                        (f.prototype.trainingInfo = n.emptyArray),
                        (f.prototype.functions = n.emptyArray),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if (
                                (a || (a = u.create()),
                                r.irVersion != null &&
                                    Object.hasOwnProperty.call(r, 'irVersion') &&
                                    a.uint32(8).int64(r.irVersion),
                                r.producerName != null &&
                                    Object.hasOwnProperty.call(r, 'producerName') &&
                                    a.uint32(18).string(r.producerName),
                                r.producerVersion != null &&
                                    Object.hasOwnProperty.call(r, 'producerVersion') &&
                                    a.uint32(26).string(r.producerVersion),
                                r.domain != null &&
                                    Object.hasOwnProperty.call(r, 'domain') &&
                                    a.uint32(34).string(r.domain),
                                r.modelVersion != null &&
                                    Object.hasOwnProperty.call(r, 'modelVersion') &&
                                    a.uint32(40).int64(r.modelVersion),
                                r.docString != null &&
                                    Object.hasOwnProperty.call(r, 'docString') &&
                                    a.uint32(50).string(r.docString),
                                r.graph != null &&
                                    Object.hasOwnProperty.call(r, 'graph') &&
                                    s.onnx.GraphProto.encode(r.graph, a.uint32(58).fork()).ldelim(),
                                r.opsetImport != null && r.opsetImport.length)
                            )
                                for (var l = 0; l < r.opsetImport.length; ++l)
                                    s.onnx.OperatorSetIdProto.encode(r.opsetImport[l], a.uint32(66).fork()).ldelim();
                            if (r.metadataProps != null && r.metadataProps.length)
                                for (var l = 0; l < r.metadataProps.length; ++l)
                                    s.onnx.StringStringEntryProto.encode(
                                        r.metadataProps[l],
                                        a.uint32(114).fork()
                                    ).ldelim();
                            if (r.trainingInfo != null && r.trainingInfo.length)
                                for (var l = 0; l < r.trainingInfo.length; ++l)
                                    s.onnx.TrainingInfoProto.encode(r.trainingInfo[l], a.uint32(162).fork()).ldelim();
                            if (r.functions != null && r.functions.length)
                                for (var l = 0; l < r.functions.length; ++l)
                                    s.onnx.FunctionProto.encode(r.functions[l], a.uint32(202).fork()).ldelim();
                            return a;
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.ModelProto(); r.pos < l; ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        p.irVersion = r.int64();
                                        break;
                                    }
                                    case 8: {
                                        (p.opsetImport && p.opsetImport.length) || (p.opsetImport = []),
                                            p.opsetImport.push(s.onnx.OperatorSetIdProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 2: {
                                        p.producerName = r.string();
                                        break;
                                    }
                                    case 3: {
                                        p.producerVersion = r.string();
                                        break;
                                    }
                                    case 4: {
                                        p.domain = r.string();
                                        break;
                                    }
                                    case 5: {
                                        p.modelVersion = r.int64();
                                        break;
                                    }
                                    case 6: {
                                        p.docString = r.string();
                                        break;
                                    }
                                    case 7: {
                                        p.graph = s.onnx.GraphProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 14: {
                                        (p.metadataProps && p.metadataProps.length) || (p.metadataProps = []),
                                            p.metadataProps.push(s.onnx.StringStringEntryProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 20: {
                                        (p.trainingInfo && p.trainingInfo.length) || (p.trainingInfo = []),
                                            p.trainingInfo.push(s.onnx.TrainingInfoProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 25: {
                                        (p.functions && p.functions.length) || (p.functions = []),
                                            p.functions.push(s.onnx.FunctionProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (
                                r.irVersion != null &&
                                r.hasOwnProperty('irVersion') &&
                                !n.isInteger(r.irVersion) &&
                                !(r.irVersion && n.isInteger(r.irVersion.low) && n.isInteger(r.irVersion.high))
                            )
                                return 'irVersion: integer|Long expected';
                            if (r.opsetImport != null && r.hasOwnProperty('opsetImport')) {
                                if (!Array.isArray(r.opsetImport)) return 'opsetImport: array expected';
                                for (var a = 0; a < r.opsetImport.length; ++a) {
                                    var l = s.onnx.OperatorSetIdProto.verify(r.opsetImport[a]);
                                    if (l) return 'opsetImport.' + l;
                                }
                            }
                            if (
                                r.producerName != null &&
                                r.hasOwnProperty('producerName') &&
                                !n.isString(r.producerName)
                            )
                                return 'producerName: string expected';
                            if (
                                r.producerVersion != null &&
                                r.hasOwnProperty('producerVersion') &&
                                !n.isString(r.producerVersion)
                            )
                                return 'producerVersion: string expected';
                            if (r.domain != null && r.hasOwnProperty('domain') && !n.isString(r.domain))
                                return 'domain: string expected';
                            if (
                                r.modelVersion != null &&
                                r.hasOwnProperty('modelVersion') &&
                                !n.isInteger(r.modelVersion) &&
                                !(r.modelVersion && n.isInteger(r.modelVersion.low) && n.isInteger(r.modelVersion.high))
                            )
                                return 'modelVersion: integer|Long expected';
                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
                                return 'docString: string expected';
                            if (r.graph != null && r.hasOwnProperty('graph')) {
                                var l = s.onnx.GraphProto.verify(r.graph);
                                if (l) return 'graph.' + l;
                            }
                            if (r.metadataProps != null && r.hasOwnProperty('metadataProps')) {
                                if (!Array.isArray(r.metadataProps)) return 'metadataProps: array expected';
                                for (var a = 0; a < r.metadataProps.length; ++a) {
                                    var l = s.onnx.StringStringEntryProto.verify(r.metadataProps[a]);
                                    if (l) return 'metadataProps.' + l;
                                }
                            }
                            if (r.trainingInfo != null && r.hasOwnProperty('trainingInfo')) {
                                if (!Array.isArray(r.trainingInfo)) return 'trainingInfo: array expected';
                                for (var a = 0; a < r.trainingInfo.length; ++a) {
                                    var l = s.onnx.TrainingInfoProto.verify(r.trainingInfo[a]);
                                    if (l) return 'trainingInfo.' + l;
                                }
                            }
                            if (r.functions != null && r.hasOwnProperty('functions')) {
                                if (!Array.isArray(r.functions)) return 'functions: array expected';
                                for (var a = 0; a < r.functions.length; ++a) {
                                    var l = s.onnx.FunctionProto.verify(r.functions[a]);
                                    if (l) return 'functions.' + l;
                                }
                            }
                            return null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.ModelProto) return r;
                            var a = new s.onnx.ModelProto();
                            if (
                                (r.irVersion != null &&
                                    (n.Long
                                        ? ((a.irVersion = n.Long.fromValue(r.irVersion)).unsigned = !1)
                                        : typeof r.irVersion == 'string'
                                        ? (a.irVersion = parseInt(r.irVersion, 10))
                                        : typeof r.irVersion == 'number'
                                        ? (a.irVersion = r.irVersion)
                                        : typeof r.irVersion == 'object' &&
                                          (a.irVersion = new n.LongBits(
                                              r.irVersion.low >>> 0,
                                              r.irVersion.high >>> 0
                                          ).toNumber())),
                                r.opsetImport)
                            ) {
                                if (!Array.isArray(r.opsetImport))
                                    throw TypeError('.onnx.ModelProto.opsetImport: array expected');
                                a.opsetImport = [];
                                for (var l = 0; l < r.opsetImport.length; ++l) {
                                    if (typeof r.opsetImport[l] != 'object')
                                        throw TypeError('.onnx.ModelProto.opsetImport: object expected');
                                    a.opsetImport[l] = s.onnx.OperatorSetIdProto.fromObject(r.opsetImport[l]);
                                }
                            }
                            if (
                                (r.producerName != null && (a.producerName = String(r.producerName)),
                                r.producerVersion != null && (a.producerVersion = String(r.producerVersion)),
                                r.domain != null && (a.domain = String(r.domain)),
                                r.modelVersion != null &&
                                    (n.Long
                                        ? ((a.modelVersion = n.Long.fromValue(r.modelVersion)).unsigned = !1)
                                        : typeof r.modelVersion == 'string'
                                        ? (a.modelVersion = parseInt(r.modelVersion, 10))
                                        : typeof r.modelVersion == 'number'
                                        ? (a.modelVersion = r.modelVersion)
                                        : typeof r.modelVersion == 'object' &&
                                          (a.modelVersion = new n.LongBits(
                                              r.modelVersion.low >>> 0,
                                              r.modelVersion.high >>> 0
                                          ).toNumber())),
                                r.docString != null && (a.docString = String(r.docString)),
                                r.graph != null)
                            ) {
                                if (typeof r.graph != 'object')
                                    throw TypeError('.onnx.ModelProto.graph: object expected');
                                a.graph = s.onnx.GraphProto.fromObject(r.graph);
                            }
                            if (r.metadataProps) {
                                if (!Array.isArray(r.metadataProps))
                                    throw TypeError('.onnx.ModelProto.metadataProps: array expected');
                                a.metadataProps = [];
                                for (var l = 0; l < r.metadataProps.length; ++l) {
                                    if (typeof r.metadataProps[l] != 'object')
                                        throw TypeError('.onnx.ModelProto.metadataProps: object expected');
                                    a.metadataProps[l] = s.onnx.StringStringEntryProto.fromObject(r.metadataProps[l]);
                                }
                            }
                            if (r.trainingInfo) {
                                if (!Array.isArray(r.trainingInfo))
                                    throw TypeError('.onnx.ModelProto.trainingInfo: array expected');
                                a.trainingInfo = [];
                                for (var l = 0; l < r.trainingInfo.length; ++l) {
                                    if (typeof r.trainingInfo[l] != 'object')
                                        throw TypeError('.onnx.ModelProto.trainingInfo: object expected');
                                    a.trainingInfo[l] = s.onnx.TrainingInfoProto.fromObject(r.trainingInfo[l]);
                                }
                            }
                            if (r.functions) {
                                if (!Array.isArray(r.functions))
                                    throw TypeError('.onnx.ModelProto.functions: array expected');
                                a.functions = [];
                                for (var l = 0; l < r.functions.length; ++l) {
                                    if (typeof r.functions[l] != 'object')
                                        throw TypeError('.onnx.ModelProto.functions: object expected');
                                    a.functions[l] = s.onnx.FunctionProto.fromObject(r.functions[l]);
                                }
                            }
                            return a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (
                                ((a.arrays || a.defaults) &&
                                    ((l.opsetImport = []),
                                    (l.metadataProps = []),
                                    (l.trainingInfo = []),
                                    (l.functions = [])),
                                a.defaults)
                            ) {
                                if (n.Long) {
                                    var p = new n.Long(0, 0, !1);
                                    l.irVersion =
                                        a.longs === String ? p.toString() : a.longs === Number ? p.toNumber() : p;
                                } else l.irVersion = a.longs === String ? '0' : 0;
                                if (((l.producerName = ''), (l.producerVersion = ''), (l.domain = ''), n.Long)) {
                                    var p = new n.Long(0, 0, !1);
                                    l.modelVersion =
                                        a.longs === String ? p.toString() : a.longs === Number ? p.toNumber() : p;
                                } else l.modelVersion = a.longs === String ? '0' : 0;
                                (l.docString = ''), (l.graph = null);
                            }
                            if (
                                (r.irVersion != null &&
                                    r.hasOwnProperty('irVersion') &&
                                    (typeof r.irVersion == 'number'
                                        ? (l.irVersion = a.longs === String ? String(r.irVersion) : r.irVersion)
                                        : (l.irVersion =
                                              a.longs === String
                                                  ? n.Long.prototype.toString.call(r.irVersion)
                                                  : a.longs === Number
                                                  ? new n.LongBits(
                                                        r.irVersion.low >>> 0,
                                                        r.irVersion.high >>> 0
                                                    ).toNumber()
                                                  : r.irVersion)),
                                r.producerName != null &&
                                    r.hasOwnProperty('producerName') &&
                                    (l.producerName = r.producerName),
                                r.producerVersion != null &&
                                    r.hasOwnProperty('producerVersion') &&
                                    (l.producerVersion = r.producerVersion),
                                r.domain != null && r.hasOwnProperty('domain') && (l.domain = r.domain),
                                r.modelVersion != null &&
                                    r.hasOwnProperty('modelVersion') &&
                                    (typeof r.modelVersion == 'number'
                                        ? (l.modelVersion =
                                              a.longs === String ? String(r.modelVersion) : r.modelVersion)
                                        : (l.modelVersion =
                                              a.longs === String
                                                  ? n.Long.prototype.toString.call(r.modelVersion)
                                                  : a.longs === Number
                                                  ? new n.LongBits(
                                                        r.modelVersion.low >>> 0,
                                                        r.modelVersion.high >>> 0
                                                    ).toNumber()
                                                  : r.modelVersion)),
                                r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
                                r.graph != null &&
                                    r.hasOwnProperty('graph') &&
                                    (l.graph = s.onnx.GraphProto.toObject(r.graph, a)),
                                r.opsetImport && r.opsetImport.length)
                            ) {
                                l.opsetImport = [];
                                for (var m = 0; m < r.opsetImport.length; ++m)
                                    l.opsetImport[m] = s.onnx.OperatorSetIdProto.toObject(r.opsetImport[m], a);
                            }
                            if (r.metadataProps && r.metadataProps.length) {
                                l.metadataProps = [];
                                for (var m = 0; m < r.metadataProps.length; ++m)
                                    l.metadataProps[m] = s.onnx.StringStringEntryProto.toObject(r.metadataProps[m], a);
                            }
                            if (r.trainingInfo && r.trainingInfo.length) {
                                l.trainingInfo = [];
                                for (var m = 0; m < r.trainingInfo.length; ++m)
                                    l.trainingInfo[m] = s.onnx.TrainingInfoProto.toObject(r.trainingInfo[m], a);
                            }
                            if (r.functions && r.functions.length) {
                                l.functions = [];
                                for (var m = 0; m < r.functions.length; ++m)
                                    l.functions[m] = s.onnx.FunctionProto.toObject(r.functions[m], a);
                            }
                            return l;
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.ModelProto';
                        }),
                        f
                    );
                })()),
                (d.StringStringEntryProto = (function () {
                    function f(r) {
                        if (r)
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.key = ''),
                        (f.prototype.value = ''),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            return (
                                a || (a = u.create()),
                                r.key != null && Object.hasOwnProperty.call(r, 'key') && a.uint32(10).string(r.key),
                                r.value != null &&
                                    Object.hasOwnProperty.call(r, 'value') &&
                                    a.uint32(18).string(r.value),
                                a
                            );
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (
                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.StringStringEntryProto();
                                r.pos < l;

                            ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        p.key = r.string();
                                        break;
                                    }
                                    case 2: {
                                        p.value = r.string();
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            return typeof r != 'object' || r === null
                                ? 'object expected'
                                : r.key != null && r.hasOwnProperty('key') && !n.isString(r.key)
                                ? 'key: string expected'
                                : r.value != null && r.hasOwnProperty('value') && !n.isString(r.value)
                                ? 'value: string expected'
                                : null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.StringStringEntryProto) return r;
                            var a = new s.onnx.StringStringEntryProto();
                            return (
                                r.key != null && (a.key = String(r.key)),
                                r.value != null && (a.value = String(r.value)),
                                a
                            );
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            return (
                                a.defaults && ((l.key = ''), (l.value = '')),
                                r.key != null && r.hasOwnProperty('key') && (l.key = r.key),
                                r.value != null && r.hasOwnProperty('value') && (l.value = r.value),
                                l
                            );
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.StringStringEntryProto';
                        }),
                        f
                    );
                })()),
                (d.TensorAnnotation = (function () {
                    function f(r) {
                        if (((this.quantParameterTensorNames = []), r))
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.tensorName = ''),
                        (f.prototype.quantParameterTensorNames = n.emptyArray),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if (
                                (a || (a = u.create()),
                                r.tensorName != null &&
                                    Object.hasOwnProperty.call(r, 'tensorName') &&
                                    a.uint32(10).string(r.tensorName),
                                r.quantParameterTensorNames != null && r.quantParameterTensorNames.length)
                            )
                                for (var l = 0; l < r.quantParameterTensorNames.length; ++l)
                                    s.onnx.StringStringEntryProto.encode(
                                        r.quantParameterTensorNames[l],
                                        a.uint32(18).fork()
                                    ).ldelim();
                            return a;
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (
                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.TensorAnnotation();
                                r.pos < l;

                            ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        p.tensorName = r.string();
                                        break;
                                    }
                                    case 2: {
                                        (p.quantParameterTensorNames && p.quantParameterTensorNames.length) ||
                                            (p.quantParameterTensorNames = []),
                                            p.quantParameterTensorNames.push(
                                                s.onnx.StringStringEntryProto.decode(r, r.uint32())
                                            );
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.tensorName != null && r.hasOwnProperty('tensorName') && !n.isString(r.tensorName))
                                return 'tensorName: string expected';
                            if (r.quantParameterTensorNames != null && r.hasOwnProperty('quantParameterTensorNames')) {
                                if (!Array.isArray(r.quantParameterTensorNames))
                                    return 'quantParameterTensorNames: array expected';
                                for (var a = 0; a < r.quantParameterTensorNames.length; ++a) {
                                    var l = s.onnx.StringStringEntryProto.verify(r.quantParameterTensorNames[a]);
                                    if (l) return 'quantParameterTensorNames.' + l;
                                }
                            }
                            return null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.TensorAnnotation) return r;
                            var a = new s.onnx.TensorAnnotation();
                            if (
                                (r.tensorName != null && (a.tensorName = String(r.tensorName)),
                                r.quantParameterTensorNames)
                            ) {
                                if (!Array.isArray(r.quantParameterTensorNames))
                                    throw TypeError('.onnx.TensorAnnotation.quantParameterTensorNames: array expected');
                                a.quantParameterTensorNames = [];
                                for (var l = 0; l < r.quantParameterTensorNames.length; ++l) {
                                    if (typeof r.quantParameterTensorNames[l] != 'object')
                                        throw TypeError(
                                            '.onnx.TensorAnnotation.quantParameterTensorNames: object expected'
                                        );
                                    a.quantParameterTensorNames[l] = s.onnx.StringStringEntryProto.fromObject(
                                        r.quantParameterTensorNames[l]
                                    );
                                }
                            }
                            return a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (
                                ((a.arrays || a.defaults) && (l.quantParameterTensorNames = []),
                                a.defaults && (l.tensorName = ''),
                                r.tensorName != null && r.hasOwnProperty('tensorName') && (l.tensorName = r.tensorName),
                                r.quantParameterTensorNames && r.quantParameterTensorNames.length)
                            ) {
                                l.quantParameterTensorNames = [];
                                for (var p = 0; p < r.quantParameterTensorNames.length; ++p)
                                    l.quantParameterTensorNames[p] = s.onnx.StringStringEntryProto.toObject(
                                        r.quantParameterTensorNames[p],
                                        a
                                    );
                            }
                            return l;
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.TensorAnnotation';
                        }),
                        f
                    );
                })()),
                (d.GraphProto = (function () {
                    function f(r) {
                        if (
                            ((this.node = []),
                            (this.initializer = []),
                            (this.sparseInitializer = []),
                            (this.input = []),
                            (this.output = []),
                            (this.valueInfo = []),
                            (this.quantizationAnnotation = []),
                            r)
                        )
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.node = n.emptyArray),
                        (f.prototype.name = ''),
                        (f.prototype.initializer = n.emptyArray),
                        (f.prototype.sparseInitializer = n.emptyArray),
                        (f.prototype.docString = ''),
                        (f.prototype.input = n.emptyArray),
                        (f.prototype.output = n.emptyArray),
                        (f.prototype.valueInfo = n.emptyArray),
                        (f.prototype.quantizationAnnotation = n.emptyArray),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if ((a || (a = u.create()), r.node != null && r.node.length))
                                for (var l = 0; l < r.node.length; ++l)
                                    s.onnx.NodeProto.encode(r.node[l], a.uint32(10).fork()).ldelim();
                            if (
                                (r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(18).string(r.name),
                                r.initializer != null && r.initializer.length)
                            )
                                for (var l = 0; l < r.initializer.length; ++l)
                                    s.onnx.TensorProto.encode(r.initializer[l], a.uint32(42).fork()).ldelim();
                            if (
                                (r.docString != null &&
                                    Object.hasOwnProperty.call(r, 'docString') &&
                                    a.uint32(82).string(r.docString),
                                r.input != null && r.input.length)
                            )
                                for (var l = 0; l < r.input.length; ++l)
                                    s.onnx.ValueInfoProto.encode(r.input[l], a.uint32(90).fork()).ldelim();
                            if (r.output != null && r.output.length)
                                for (var l = 0; l < r.output.length; ++l)
                                    s.onnx.ValueInfoProto.encode(r.output[l], a.uint32(98).fork()).ldelim();
                            if (r.valueInfo != null && r.valueInfo.length)
                                for (var l = 0; l < r.valueInfo.length; ++l)
                                    s.onnx.ValueInfoProto.encode(r.valueInfo[l], a.uint32(106).fork()).ldelim();
                            if (r.quantizationAnnotation != null && r.quantizationAnnotation.length)
                                for (var l = 0; l < r.quantizationAnnotation.length; ++l)
                                    s.onnx.TensorAnnotation.encode(
                                        r.quantizationAnnotation[l],
                                        a.uint32(114).fork()
                                    ).ldelim();
                            if (r.sparseInitializer != null && r.sparseInitializer.length)
                                for (var l = 0; l < r.sparseInitializer.length; ++l)
                                    s.onnx.SparseTensorProto.encode(
                                        r.sparseInitializer[l],
                                        a.uint32(122).fork()
                                    ).ldelim();
                            return a;
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.GraphProto(); r.pos < l; ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        (p.node && p.node.length) || (p.node = []),
                                            p.node.push(s.onnx.NodeProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 2: {
                                        p.name = r.string();
                                        break;
                                    }
                                    case 5: {
                                        (p.initializer && p.initializer.length) || (p.initializer = []),
                                            p.initializer.push(s.onnx.TensorProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 15: {
                                        (p.sparseInitializer && p.sparseInitializer.length) ||
                                            (p.sparseInitializer = []),
                                            p.sparseInitializer.push(s.onnx.SparseTensorProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 10: {
                                        p.docString = r.string();
                                        break;
                                    }
                                    case 11: {
                                        (p.input && p.input.length) || (p.input = []),
                                            p.input.push(s.onnx.ValueInfoProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 12: {
                                        (p.output && p.output.length) || (p.output = []),
                                            p.output.push(s.onnx.ValueInfoProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 13: {
                                        (p.valueInfo && p.valueInfo.length) || (p.valueInfo = []),
                                            p.valueInfo.push(s.onnx.ValueInfoProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 14: {
                                        (p.quantizationAnnotation && p.quantizationAnnotation.length) ||
                                            (p.quantizationAnnotation = []),
                                            p.quantizationAnnotation.push(
                                                s.onnx.TensorAnnotation.decode(r, r.uint32())
                                            );
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.node != null && r.hasOwnProperty('node')) {
                                if (!Array.isArray(r.node)) return 'node: array expected';
                                for (var a = 0; a < r.node.length; ++a) {
                                    var l = s.onnx.NodeProto.verify(r.node[a]);
                                    if (l) return 'node.' + l;
                                }
                            }
                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
                                return 'name: string expected';
                            if (r.initializer != null && r.hasOwnProperty('initializer')) {
                                if (!Array.isArray(r.initializer)) return 'initializer: array expected';
                                for (var a = 0; a < r.initializer.length; ++a) {
                                    var l = s.onnx.TensorProto.verify(r.initializer[a]);
                                    if (l) return 'initializer.' + l;
                                }
                            }
                            if (r.sparseInitializer != null && r.hasOwnProperty('sparseInitializer')) {
                                if (!Array.isArray(r.sparseInitializer)) return 'sparseInitializer: array expected';
                                for (var a = 0; a < r.sparseInitializer.length; ++a) {
                                    var l = s.onnx.SparseTensorProto.verify(r.sparseInitializer[a]);
                                    if (l) return 'sparseInitializer.' + l;
                                }
                            }
                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
                                return 'docString: string expected';
                            if (r.input != null && r.hasOwnProperty('input')) {
                                if (!Array.isArray(r.input)) return 'input: array expected';
                                for (var a = 0; a < r.input.length; ++a) {
                                    var l = s.onnx.ValueInfoProto.verify(r.input[a]);
                                    if (l) return 'input.' + l;
                                }
                            }
                            if (r.output != null && r.hasOwnProperty('output')) {
                                if (!Array.isArray(r.output)) return 'output: array expected';
                                for (var a = 0; a < r.output.length; ++a) {
                                    var l = s.onnx.ValueInfoProto.verify(r.output[a]);
                                    if (l) return 'output.' + l;
                                }
                            }
                            if (r.valueInfo != null && r.hasOwnProperty('valueInfo')) {
                                if (!Array.isArray(r.valueInfo)) return 'valueInfo: array expected';
                                for (var a = 0; a < r.valueInfo.length; ++a) {
                                    var l = s.onnx.ValueInfoProto.verify(r.valueInfo[a]);
                                    if (l) return 'valueInfo.' + l;
                                }
                            }
                            if (r.quantizationAnnotation != null && r.hasOwnProperty('quantizationAnnotation')) {
                                if (!Array.isArray(r.quantizationAnnotation))
                                    return 'quantizationAnnotation: array expected';
                                for (var a = 0; a < r.quantizationAnnotation.length; ++a) {
                                    var l = s.onnx.TensorAnnotation.verify(r.quantizationAnnotation[a]);
                                    if (l) return 'quantizationAnnotation.' + l;
                                }
                            }
                            return null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.GraphProto) return r;
                            var a = new s.onnx.GraphProto();
                            if (r.node) {
                                if (!Array.isArray(r.node)) throw TypeError('.onnx.GraphProto.node: array expected');
                                a.node = [];
                                for (var l = 0; l < r.node.length; ++l) {
                                    if (typeof r.node[l] != 'object')
                                        throw TypeError('.onnx.GraphProto.node: object expected');
                                    a.node[l] = s.onnx.NodeProto.fromObject(r.node[l]);
                                }
                            }
                            if ((r.name != null && (a.name = String(r.name)), r.initializer)) {
                                if (!Array.isArray(r.initializer))
                                    throw TypeError('.onnx.GraphProto.initializer: array expected');
                                a.initializer = [];
                                for (var l = 0; l < r.initializer.length; ++l) {
                                    if (typeof r.initializer[l] != 'object')
                                        throw TypeError('.onnx.GraphProto.initializer: object expected');
                                    a.initializer[l] = s.onnx.TensorProto.fromObject(r.initializer[l]);
                                }
                            }
                            if (r.sparseInitializer) {
                                if (!Array.isArray(r.sparseInitializer))
                                    throw TypeError('.onnx.GraphProto.sparseInitializer: array expected');
                                a.sparseInitializer = [];
                                for (var l = 0; l < r.sparseInitializer.length; ++l) {
                                    if (typeof r.sparseInitializer[l] != 'object')
                                        throw TypeError('.onnx.GraphProto.sparseInitializer: object expected');
                                    a.sparseInitializer[l] = s.onnx.SparseTensorProto.fromObject(
                                        r.sparseInitializer[l]
                                    );
                                }
                            }
                            if ((r.docString != null && (a.docString = String(r.docString)), r.input)) {
                                if (!Array.isArray(r.input)) throw TypeError('.onnx.GraphProto.input: array expected');
                                a.input = [];
                                for (var l = 0; l < r.input.length; ++l) {
                                    if (typeof r.input[l] != 'object')
                                        throw TypeError('.onnx.GraphProto.input: object expected');
                                    a.input[l] = s.onnx.ValueInfoProto.fromObject(r.input[l]);
                                }
                            }
                            if (r.output) {
                                if (!Array.isArray(r.output))
                                    throw TypeError('.onnx.GraphProto.output: array expected');
                                a.output = [];
                                for (var l = 0; l < r.output.length; ++l) {
                                    if (typeof r.output[l] != 'object')
                                        throw TypeError('.onnx.GraphProto.output: object expected');
                                    a.output[l] = s.onnx.ValueInfoProto.fromObject(r.output[l]);
                                }
                            }
                            if (r.valueInfo) {
                                if (!Array.isArray(r.valueInfo))
                                    throw TypeError('.onnx.GraphProto.valueInfo: array expected');
                                a.valueInfo = [];
                                for (var l = 0; l < r.valueInfo.length; ++l) {
                                    if (typeof r.valueInfo[l] != 'object')
                                        throw TypeError('.onnx.GraphProto.valueInfo: object expected');
                                    a.valueInfo[l] = s.onnx.ValueInfoProto.fromObject(r.valueInfo[l]);
                                }
                            }
                            if (r.quantizationAnnotation) {
                                if (!Array.isArray(r.quantizationAnnotation))
                                    throw TypeError('.onnx.GraphProto.quantizationAnnotation: array expected');
                                a.quantizationAnnotation = [];
                                for (var l = 0; l < r.quantizationAnnotation.length; ++l) {
                                    if (typeof r.quantizationAnnotation[l] != 'object')
                                        throw TypeError('.onnx.GraphProto.quantizationAnnotation: object expected');
                                    a.quantizationAnnotation[l] = s.onnx.TensorAnnotation.fromObject(
                                        r.quantizationAnnotation[l]
                                    );
                                }
                            }
                            return a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (
                                ((a.arrays || a.defaults) &&
                                    ((l.node = []),
                                    (l.initializer = []),
                                    (l.input = []),
                                    (l.output = []),
                                    (l.valueInfo = []),
                                    (l.quantizationAnnotation = []),
                                    (l.sparseInitializer = [])),
                                a.defaults && ((l.name = ''), (l.docString = '')),
                                r.node && r.node.length)
                            ) {
                                l.node = [];
                                for (var p = 0; p < r.node.length; ++p)
                                    l.node[p] = s.onnx.NodeProto.toObject(r.node[p], a);
                            }
                            if (
                                (r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
                                r.initializer && r.initializer.length)
                            ) {
                                l.initializer = [];
                                for (var p = 0; p < r.initializer.length; ++p)
                                    l.initializer[p] = s.onnx.TensorProto.toObject(r.initializer[p], a);
                            }
                            if (
                                (r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
                                r.input && r.input.length)
                            ) {
                                l.input = [];
                                for (var p = 0; p < r.input.length; ++p)
                                    l.input[p] = s.onnx.ValueInfoProto.toObject(r.input[p], a);
                            }
                            if (r.output && r.output.length) {
                                l.output = [];
                                for (var p = 0; p < r.output.length; ++p)
                                    l.output[p] = s.onnx.ValueInfoProto.toObject(r.output[p], a);
                            }
                            if (r.valueInfo && r.valueInfo.length) {
                                l.valueInfo = [];
                                for (var p = 0; p < r.valueInfo.length; ++p)
                                    l.valueInfo[p] = s.onnx.ValueInfoProto.toObject(r.valueInfo[p], a);
                            }
                            if (r.quantizationAnnotation && r.quantizationAnnotation.length) {
                                l.quantizationAnnotation = [];
                                for (var p = 0; p < r.quantizationAnnotation.length; ++p)
                                    l.quantizationAnnotation[p] = s.onnx.TensorAnnotation.toObject(
                                        r.quantizationAnnotation[p],
                                        a
                                    );
                            }
                            if (r.sparseInitializer && r.sparseInitializer.length) {
                                l.sparseInitializer = [];
                                for (var p = 0; p < r.sparseInitializer.length; ++p)
                                    l.sparseInitializer[p] = s.onnx.SparseTensorProto.toObject(
                                        r.sparseInitializer[p],
                                        a
                                    );
                            }
                            return l;
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.GraphProto';
                        }),
                        f
                    );
                })()),
                (d.TensorProto = (function () {
                    function f(r) {
                        if (
                            ((this.dims = []),
                            (this.floatData = []),
                            (this.int32Data = []),
                            (this.stringData = []),
                            (this.int64Data = []),
                            (this.externalData = []),
                            (this.doubleData = []),
                            (this.uint64Data = []),
                            r)
                        )
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.dims = n.emptyArray),
                        (f.prototype.dataType = 0),
                        (f.prototype.segment = null),
                        (f.prototype.floatData = n.emptyArray),
                        (f.prototype.int32Data = n.emptyArray),
                        (f.prototype.stringData = n.emptyArray),
                        (f.prototype.int64Data = n.emptyArray),
                        (f.prototype.name = ''),
                        (f.prototype.docString = ''),
                        (f.prototype.rawData = n.newBuffer([])),
                        (f.prototype.externalData = n.emptyArray),
                        (f.prototype.dataLocation = 0),
                        (f.prototype.doubleData = n.emptyArray),
                        (f.prototype.uint64Data = n.emptyArray),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if ((a || (a = u.create()), r.dims != null && r.dims.length)) {
                                a.uint32(10).fork();
                                for (var l = 0; l < r.dims.length; ++l) a.int64(r.dims[l]);
                                a.ldelim();
                            }
                            if (
                                (r.dataType != null &&
                                    Object.hasOwnProperty.call(r, 'dataType') &&
                                    a.uint32(16).int32(r.dataType),
                                r.segment != null &&
                                    Object.hasOwnProperty.call(r, 'segment') &&
                                    s.onnx.TensorProto.Segment.encode(r.segment, a.uint32(26).fork()).ldelim(),
                                r.floatData != null && r.floatData.length)
                            ) {
                                a.uint32(34).fork();
                                for (var l = 0; l < r.floatData.length; ++l) a.float(r.floatData[l]);
                                a.ldelim();
                            }
                            if (r.int32Data != null && r.int32Data.length) {
                                a.uint32(42).fork();
                                for (var l = 0; l < r.int32Data.length; ++l) a.int32(r.int32Data[l]);
                                a.ldelim();
                            }
                            if (r.stringData != null && r.stringData.length)
                                for (var l = 0; l < r.stringData.length; ++l) a.uint32(50).bytes(r.stringData[l]);
                            if (r.int64Data != null && r.int64Data.length) {
                                a.uint32(58).fork();
                                for (var l = 0; l < r.int64Data.length; ++l) a.int64(r.int64Data[l]);
                                a.ldelim();
                            }
                            if (
                                (r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(66).string(r.name),
                                r.rawData != null &&
                                    Object.hasOwnProperty.call(r, 'rawData') &&
                                    a.uint32(74).bytes(r.rawData),
                                r.doubleData != null && r.doubleData.length)
                            ) {
                                a.uint32(82).fork();
                                for (var l = 0; l < r.doubleData.length; ++l) a.double(r.doubleData[l]);
                                a.ldelim();
                            }
                            if (r.uint64Data != null && r.uint64Data.length) {
                                a.uint32(90).fork();
                                for (var l = 0; l < r.uint64Data.length; ++l) a.uint64(r.uint64Data[l]);
                                a.ldelim();
                            }
                            if (
                                (r.docString != null &&
                                    Object.hasOwnProperty.call(r, 'docString') &&
                                    a.uint32(98).string(r.docString),
                                r.externalData != null && r.externalData.length)
                            )
                                for (var l = 0; l < r.externalData.length; ++l)
                                    s.onnx.StringStringEntryProto.encode(
                                        r.externalData[l],
                                        a.uint32(106).fork()
                                    ).ldelim();
                            return (
                                r.dataLocation != null &&
                                    Object.hasOwnProperty.call(r, 'dataLocation') &&
                                    a.uint32(112).int32(r.dataLocation),
                                a
                            );
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.TensorProto(); r.pos < l; ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        if (((p.dims && p.dims.length) || (p.dims = []), (m & 7) === 2))
                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.dims.push(r.int64());
                                        else p.dims.push(r.int64());
                                        break;
                                    }
                                    case 2: {
                                        p.dataType = r.int32();
                                        break;
                                    }
                                    case 3: {
                                        p.segment = s.onnx.TensorProto.Segment.decode(r, r.uint32());
                                        break;
                                    }
                                    case 4: {
                                        if (((p.floatData && p.floatData.length) || (p.floatData = []), (m & 7) === 2))
                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.floatData.push(r.float());
                                        else p.floatData.push(r.float());
                                        break;
                                    }
                                    case 5: {
                                        if (((p.int32Data && p.int32Data.length) || (p.int32Data = []), (m & 7) === 2))
                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.int32Data.push(r.int32());
                                        else p.int32Data.push(r.int32());
                                        break;
                                    }
                                    case 6: {
                                        (p.stringData && p.stringData.length) || (p.stringData = []),
                                            p.stringData.push(r.bytes());
                                        break;
                                    }
                                    case 7: {
                                        if (((p.int64Data && p.int64Data.length) || (p.int64Data = []), (m & 7) === 2))
                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.int64Data.push(r.int64());
                                        else p.int64Data.push(r.int64());
                                        break;
                                    }
                                    case 8: {
                                        p.name = r.string();
                                        break;
                                    }
                                    case 12: {
                                        p.docString = r.string();
                                        break;
                                    }
                                    case 9: {
                                        p.rawData = r.bytes();
                                        break;
                                    }
                                    case 13: {
                                        (p.externalData && p.externalData.length) || (p.externalData = []),
                                            p.externalData.push(s.onnx.StringStringEntryProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 14: {
                                        p.dataLocation = r.int32();
                                        break;
                                    }
                                    case 10: {
                                        if (
                                            ((p.doubleData && p.doubleData.length) || (p.doubleData = []),
                                            (m & 7) === 2)
                                        )
                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.doubleData.push(r.double());
                                        else p.doubleData.push(r.double());
                                        break;
                                    }
                                    case 11: {
                                        if (
                                            ((p.uint64Data && p.uint64Data.length) || (p.uint64Data = []),
                                            (m & 7) === 2)
                                        )
                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.uint64Data.push(r.uint64());
                                        else p.uint64Data.push(r.uint64());
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.dims != null && r.hasOwnProperty('dims')) {
                                if (!Array.isArray(r.dims)) return 'dims: array expected';
                                for (var a = 0; a < r.dims.length; ++a)
                                    if (
                                        !n.isInteger(r.dims[a]) &&
                                        !(r.dims[a] && n.isInteger(r.dims[a].low) && n.isInteger(r.dims[a].high))
                                    )
                                        return 'dims: integer|Long[] expected';
                            }
                            if (r.dataType != null && r.hasOwnProperty('dataType') && !n.isInteger(r.dataType))
                                return 'dataType: integer expected';
                            if (r.segment != null && r.hasOwnProperty('segment')) {
                                var l = s.onnx.TensorProto.Segment.verify(r.segment);
                                if (l) return 'segment.' + l;
                            }
                            if (r.floatData != null && r.hasOwnProperty('floatData')) {
                                if (!Array.isArray(r.floatData)) return 'floatData: array expected';
                                for (var a = 0; a < r.floatData.length; ++a)
                                    if (typeof r.floatData[a] != 'number') return 'floatData: number[] expected';
                            }
                            if (r.int32Data != null && r.hasOwnProperty('int32Data')) {
                                if (!Array.isArray(r.int32Data)) return 'int32Data: array expected';
                                for (var a = 0; a < r.int32Data.length; ++a)
                                    if (!n.isInteger(r.int32Data[a])) return 'int32Data: integer[] expected';
                            }
                            if (r.stringData != null && r.hasOwnProperty('stringData')) {
                                if (!Array.isArray(r.stringData)) return 'stringData: array expected';
                                for (var a = 0; a < r.stringData.length; ++a)
                                    if (
                                        !(
                                            (r.stringData[a] && typeof r.stringData[a].length == 'number') ||
                                            n.isString(r.stringData[a])
                                        )
                                    )
                                        return 'stringData: buffer[] expected';
                            }
                            if (r.int64Data != null && r.hasOwnProperty('int64Data')) {
                                if (!Array.isArray(r.int64Data)) return 'int64Data: array expected';
                                for (var a = 0; a < r.int64Data.length; ++a)
                                    if (
                                        !n.isInteger(r.int64Data[a]) &&
                                        !(
                                            r.int64Data[a] &&
                                            n.isInteger(r.int64Data[a].low) &&
                                            n.isInteger(r.int64Data[a].high)
                                        )
                                    )
                                        return 'int64Data: integer|Long[] expected';
                            }
                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
                                return 'name: string expected';
                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
                                return 'docString: string expected';
                            if (
                                r.rawData != null &&
                                r.hasOwnProperty('rawData') &&
                                !((r.rawData && typeof r.rawData.length == 'number') || n.isString(r.rawData))
                            )
                                return 'rawData: buffer expected';
                            if (r.externalData != null && r.hasOwnProperty('externalData')) {
                                if (!Array.isArray(r.externalData)) return 'externalData: array expected';
                                for (var a = 0; a < r.externalData.length; ++a) {
                                    var l = s.onnx.StringStringEntryProto.verify(r.externalData[a]);
                                    if (l) return 'externalData.' + l;
                                }
                            }
                            if (r.dataLocation != null && r.hasOwnProperty('dataLocation'))
                                switch (r.dataLocation) {
                                    default:
                                        return 'dataLocation: enum value expected';
                                    case 0:
                                    case 1:
                                        break;
                                }
                            if (r.doubleData != null && r.hasOwnProperty('doubleData')) {
                                if (!Array.isArray(r.doubleData)) return 'doubleData: array expected';
                                for (var a = 0; a < r.doubleData.length; ++a)
                                    if (typeof r.doubleData[a] != 'number') return 'doubleData: number[] expected';
                            }
                            if (r.uint64Data != null && r.hasOwnProperty('uint64Data')) {
                                if (!Array.isArray(r.uint64Data)) return 'uint64Data: array expected';
                                for (var a = 0; a < r.uint64Data.length; ++a)
                                    if (
                                        !n.isInteger(r.uint64Data[a]) &&
                                        !(
                                            r.uint64Data[a] &&
                                            n.isInteger(r.uint64Data[a].low) &&
                                            n.isInteger(r.uint64Data[a].high)
                                        )
                                    )
                                        return 'uint64Data: integer|Long[] expected';
                            }
                            return null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.TensorProto) return r;
                            var a = new s.onnx.TensorProto();
                            if (r.dims) {
                                if (!Array.isArray(r.dims)) throw TypeError('.onnx.TensorProto.dims: array expected');
                                a.dims = [];
                                for (var l = 0; l < r.dims.length; ++l)
                                    n.Long
                                        ? ((a.dims[l] = n.Long.fromValue(r.dims[l])).unsigned = !1)
                                        : typeof r.dims[l] == 'string'
                                        ? (a.dims[l] = parseInt(r.dims[l], 10))
                                        : typeof r.dims[l] == 'number'
                                        ? (a.dims[l] = r.dims[l])
                                        : typeof r.dims[l] == 'object' &&
                                          (a.dims[l] = new n.LongBits(
                                              r.dims[l].low >>> 0,
                                              r.dims[l].high >>> 0
                                          ).toNumber());
                            }
                            if ((r.dataType != null && (a.dataType = r.dataType | 0), r.segment != null)) {
                                if (typeof r.segment != 'object')
                                    throw TypeError('.onnx.TensorProto.segment: object expected');
                                a.segment = s.onnx.TensorProto.Segment.fromObject(r.segment);
                            }
                            if (r.floatData) {
                                if (!Array.isArray(r.floatData))
                                    throw TypeError('.onnx.TensorProto.floatData: array expected');
                                a.floatData = [];
                                for (var l = 0; l < r.floatData.length; ++l) a.floatData[l] = Number(r.floatData[l]);
                            }
                            if (r.int32Data) {
                                if (!Array.isArray(r.int32Data))
                                    throw TypeError('.onnx.TensorProto.int32Data: array expected');
                                a.int32Data = [];
                                for (var l = 0; l < r.int32Data.length; ++l) a.int32Data[l] = r.int32Data[l] | 0;
                            }
                            if (r.stringData) {
                                if (!Array.isArray(r.stringData))
                                    throw TypeError('.onnx.TensorProto.stringData: array expected');
                                a.stringData = [];
                                for (var l = 0; l < r.stringData.length; ++l)
                                    typeof r.stringData[l] == 'string'
                                        ? n.base64.decode(
                                              r.stringData[l],
                                              (a.stringData[l] = n.newBuffer(n.base64.length(r.stringData[l]))),
                                              0
                                          )
                                        : r.stringData[l].length >= 0 && (a.stringData[l] = r.stringData[l]);
                            }
                            if (r.int64Data) {
                                if (!Array.isArray(r.int64Data))
                                    throw TypeError('.onnx.TensorProto.int64Data: array expected');
                                a.int64Data = [];
                                for (var l = 0; l < r.int64Data.length; ++l)
                                    n.Long
                                        ? ((a.int64Data[l] = n.Long.fromValue(r.int64Data[l])).unsigned = !1)
                                        : typeof r.int64Data[l] == 'string'
                                        ? (a.int64Data[l] = parseInt(r.int64Data[l], 10))
                                        : typeof r.int64Data[l] == 'number'
                                        ? (a.int64Data[l] = r.int64Data[l])
                                        : typeof r.int64Data[l] == 'object' &&
                                          (a.int64Data[l] = new n.LongBits(
                                              r.int64Data[l].low >>> 0,
                                              r.int64Data[l].high >>> 0
                                          ).toNumber());
                            }
                            if (
                                (r.name != null && (a.name = String(r.name)),
                                r.docString != null && (a.docString = String(r.docString)),
                                r.rawData != null &&
                                    (typeof r.rawData == 'string'
                                        ? n.base64.decode(
                                              r.rawData,
                                              (a.rawData = n.newBuffer(n.base64.length(r.rawData))),
                                              0
                                          )
                                        : r.rawData.length >= 0 && (a.rawData = r.rawData)),
                                r.externalData)
                            ) {
                                if (!Array.isArray(r.externalData))
                                    throw TypeError('.onnx.TensorProto.externalData: array expected');
                                a.externalData = [];
                                for (var l = 0; l < r.externalData.length; ++l) {
                                    if (typeof r.externalData[l] != 'object')
                                        throw TypeError('.onnx.TensorProto.externalData: object expected');
                                    a.externalData[l] = s.onnx.StringStringEntryProto.fromObject(r.externalData[l]);
                                }
                            }
                            switch (r.dataLocation) {
                                default:
                                    if (typeof r.dataLocation == 'number') {
                                        a.dataLocation = r.dataLocation;
                                        break;
                                    }
                                    break;
                                case 'DEFAULT':
                                case 0:
                                    a.dataLocation = 0;
                                    break;
                                case 'EXTERNAL':
                                case 1:
                                    a.dataLocation = 1;
                                    break;
                            }
                            if (r.doubleData) {
                                if (!Array.isArray(r.doubleData))
                                    throw TypeError('.onnx.TensorProto.doubleData: array expected');
                                a.doubleData = [];
                                for (var l = 0; l < r.doubleData.length; ++l) a.doubleData[l] = Number(r.doubleData[l]);
                            }
                            if (r.uint64Data) {
                                if (!Array.isArray(r.uint64Data))
                                    throw TypeError('.onnx.TensorProto.uint64Data: array expected');
                                a.uint64Data = [];
                                for (var l = 0; l < r.uint64Data.length; ++l)
                                    n.Long
                                        ? ((a.uint64Data[l] = n.Long.fromValue(r.uint64Data[l])).unsigned = !0)
                                        : typeof r.uint64Data[l] == 'string'
                                        ? (a.uint64Data[l] = parseInt(r.uint64Data[l], 10))
                                        : typeof r.uint64Data[l] == 'number'
                                        ? (a.uint64Data[l] = r.uint64Data[l])
                                        : typeof r.uint64Data[l] == 'object' &&
                                          (a.uint64Data[l] = new n.LongBits(
                                              r.uint64Data[l].low >>> 0,
                                              r.uint64Data[l].high >>> 0
                                          ).toNumber(!0));
                            }
                            return a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (
                                ((a.arrays || a.defaults) &&
                                    ((l.dims = []),
                                    (l.floatData = []),
                                    (l.int32Data = []),
                                    (l.stringData = []),
                                    (l.int64Data = []),
                                    (l.doubleData = []),
                                    (l.uint64Data = []),
                                    (l.externalData = [])),
                                a.defaults &&
                                    ((l.dataType = 0),
                                    (l.segment = null),
                                    (l.name = ''),
                                    a.bytes === String
                                        ? (l.rawData = '')
                                        : ((l.rawData = []), a.bytes !== Array && (l.rawData = n.newBuffer(l.rawData))),
                                    (l.docString = ''),
                                    (l.dataLocation = a.enums === String ? 'DEFAULT' : 0)),
                                r.dims && r.dims.length)
                            ) {
                                l.dims = [];
                                for (var p = 0; p < r.dims.length; ++p)
                                    typeof r.dims[p] == 'number'
                                        ? (l.dims[p] = a.longs === String ? String(r.dims[p]) : r.dims[p])
                                        : (l.dims[p] =
                                              a.longs === String
                                                  ? n.Long.prototype.toString.call(r.dims[p])
                                                  : a.longs === Number
                                                  ? new n.LongBits(r.dims[p].low >>> 0, r.dims[p].high >>> 0).toNumber()
                                                  : r.dims[p]);
                            }
                            if (
                                (r.dataType != null && r.hasOwnProperty('dataType') && (l.dataType = r.dataType),
                                r.segment != null &&
                                    r.hasOwnProperty('segment') &&
                                    (l.segment = s.onnx.TensorProto.Segment.toObject(r.segment, a)),
                                r.floatData && r.floatData.length)
                            ) {
                                l.floatData = [];
                                for (var p = 0; p < r.floatData.length; ++p)
                                    l.floatData[p] =
                                        a.json && !isFinite(r.floatData[p]) ? String(r.floatData[p]) : r.floatData[p];
                            }
                            if (r.int32Data && r.int32Data.length) {
                                l.int32Data = [];
                                for (var p = 0; p < r.int32Data.length; ++p) l.int32Data[p] = r.int32Data[p];
                            }
                            if (r.stringData && r.stringData.length) {
                                l.stringData = [];
                                for (var p = 0; p < r.stringData.length; ++p)
                                    l.stringData[p] =
                                        a.bytes === String
                                            ? n.base64.encode(r.stringData[p], 0, r.stringData[p].length)
                                            : a.bytes === Array
                                            ? Array.prototype.slice.call(r.stringData[p])
                                            : r.stringData[p];
                            }
                            if (r.int64Data && r.int64Data.length) {
                                l.int64Data = [];
                                for (var p = 0; p < r.int64Data.length; ++p)
                                    typeof r.int64Data[p] == 'number'
                                        ? (l.int64Data[p] =
                                              a.longs === String ? String(r.int64Data[p]) : r.int64Data[p])
                                        : (l.int64Data[p] =
                                              a.longs === String
                                                  ? n.Long.prototype.toString.call(r.int64Data[p])
                                                  : a.longs === Number
                                                  ? new n.LongBits(
                                                        r.int64Data[p].low >>> 0,
                                                        r.int64Data[p].high >>> 0
                                                    ).toNumber()
                                                  : r.int64Data[p]);
                            }
                            if (
                                (r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
                                r.rawData != null &&
                                    r.hasOwnProperty('rawData') &&
                                    (l.rawData =
                                        a.bytes === String
                                            ? n.base64.encode(r.rawData, 0, r.rawData.length)
                                            : a.bytes === Array
                                            ? Array.prototype.slice.call(r.rawData)
                                            : r.rawData),
                                r.doubleData && r.doubleData.length)
                            ) {
                                l.doubleData = [];
                                for (var p = 0; p < r.doubleData.length; ++p)
                                    l.doubleData[p] =
                                        a.json && !isFinite(r.doubleData[p])
                                            ? String(r.doubleData[p])
                                            : r.doubleData[p];
                            }
                            if (r.uint64Data && r.uint64Data.length) {
                                l.uint64Data = [];
                                for (var p = 0; p < r.uint64Data.length; ++p)
                                    typeof r.uint64Data[p] == 'number'
                                        ? (l.uint64Data[p] =
                                              a.longs === String ? String(r.uint64Data[p]) : r.uint64Data[p])
                                        : (l.uint64Data[p] =
                                              a.longs === String
                                                  ? n.Long.prototype.toString.call(r.uint64Data[p])
                                                  : a.longs === Number
                                                  ? new n.LongBits(
                                                        r.uint64Data[p].low >>> 0,
                                                        r.uint64Data[p].high >>> 0
                                                    ).toNumber(!0)
                                                  : r.uint64Data[p]);
                            }
                            if (
                                (r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
                                r.externalData && r.externalData.length)
                            ) {
                                l.externalData = [];
                                for (var p = 0; p < r.externalData.length; ++p)
                                    l.externalData[p] = s.onnx.StringStringEntryProto.toObject(r.externalData[p], a);
                            }
                            return (
                                r.dataLocation != null &&
                                    r.hasOwnProperty('dataLocation') &&
                                    (l.dataLocation =
                                        a.enums === String
                                            ? s.onnx.TensorProto.DataLocation[r.dataLocation] === void 0
                                                ? r.dataLocation
                                                : s.onnx.TensorProto.DataLocation[r.dataLocation]
                                            : r.dataLocation),
                                l
                            );
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.TensorProto';
                        }),
                        (f.DataType = (function () {
                            var r = {},
                                a = Object.create(r);
                            return (
                                (a[(r[0] = 'UNDEFINED')] = 0),
                                (a[(r[1] = 'FLOAT')] = 1),
                                (a[(r[2] = 'UINT8')] = 2),
                                (a[(r[3] = 'INT8')] = 3),
                                (a[(r[4] = 'UINT16')] = 4),
                                (a[(r[5] = 'INT16')] = 5),
                                (a[(r[6] = 'INT32')] = 6),
                                (a[(r[7] = 'INT64')] = 7),
                                (a[(r[8] = 'STRING')] = 8),
                                (a[(r[9] = 'BOOL')] = 9),
                                (a[(r[10] = 'FLOAT16')] = 10),
                                (a[(r[11] = 'DOUBLE')] = 11),
                                (a[(r[12] = 'UINT32')] = 12),
                                (a[(r[13] = 'UINT64')] = 13),
                                (a[(r[14] = 'COMPLEX64')] = 14),
                                (a[(r[15] = 'COMPLEX128')] = 15),
                                (a[(r[16] = 'BFLOAT16')] = 16),
                                (a[(r[17] = 'FLOAT8E4M3FN')] = 17),
                                (a[(r[18] = 'FLOAT8E4M3FNUZ')] = 18),
                                (a[(r[19] = 'FLOAT8E5M2')] = 19),
                                (a[(r[20] = 'FLOAT8E5M2FNUZ')] = 20),
                                a
                            );
                        })()),
                        (f.Segment = (function () {
                            function r(a) {
                                if (a)
                                    for (var l = Object.keys(a), p = 0; p < l.length; ++p)
                                        a[l[p]] != null && (this[l[p]] = a[l[p]]);
                            }
                            return (
                                (r.prototype.begin = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
                                (r.prototype.end = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
                                (r.create = function (a) {
                                    return new r(a);
                                }),
                                (r.encode = function (a, l) {
                                    return (
                                        l || (l = u.create()),
                                        a.begin != null &&
                                            Object.hasOwnProperty.call(a, 'begin') &&
                                            l.uint32(8).int64(a.begin),
                                        a.end != null &&
                                            Object.hasOwnProperty.call(a, 'end') &&
                                            l.uint32(16).int64(a.end),
                                        l
                                    );
                                }),
                                (r.encodeDelimited = function (a, l) {
                                    return this.encode(a, l).ldelim();
                                }),
                                (r.decode = function (a, l) {
                                    a instanceof i || (a = i.create(a));
                                    for (
                                        var p = l === void 0 ? a.len : a.pos + l, m = new s.onnx.TensorProto.Segment();
                                        a.pos < p;

                                    ) {
                                        var y = a.uint32();
                                        switch (y >>> 3) {
                                            case 1: {
                                                m.begin = a.int64();
                                                break;
                                            }
                                            case 2: {
                                                m.end = a.int64();
                                                break;
                                            }
                                            default:
                                                a.skipType(y & 7);
                                                break;
                                        }
                                    }
                                    return m;
                                }),
                                (r.decodeDelimited = function (a) {
                                    return a instanceof i || (a = new i(a)), this.decode(a, a.uint32());
                                }),
                                (r.verify = function (a) {
                                    return typeof a != 'object' || a === null
                                        ? 'object expected'
                                        : a.begin != null &&
                                          a.hasOwnProperty('begin') &&
                                          !n.isInteger(a.begin) &&
                                          !(a.begin && n.isInteger(a.begin.low) && n.isInteger(a.begin.high))
                                        ? 'begin: integer|Long expected'
                                        : a.end != null &&
                                          a.hasOwnProperty('end') &&
                                          !n.isInteger(a.end) &&
                                          !(a.end && n.isInteger(a.end.low) && n.isInteger(a.end.high))
                                        ? 'end: integer|Long expected'
                                        : null;
                                }),
                                (r.fromObject = function (a) {
                                    if (a instanceof s.onnx.TensorProto.Segment) return a;
                                    var l = new s.onnx.TensorProto.Segment();
                                    return (
                                        a.begin != null &&
                                            (n.Long
                                                ? ((l.begin = n.Long.fromValue(a.begin)).unsigned = !1)
                                                : typeof a.begin == 'string'
                                                ? (l.begin = parseInt(a.begin, 10))
                                                : typeof a.begin == 'number'
                                                ? (l.begin = a.begin)
                                                : typeof a.begin == 'object' &&
                                                  (l.begin = new n.LongBits(
                                                      a.begin.low >>> 0,
                                                      a.begin.high >>> 0
                                                  ).toNumber())),
                                        a.end != null &&
                                            (n.Long
                                                ? ((l.end = n.Long.fromValue(a.end)).unsigned = !1)
                                                : typeof a.end == 'string'
                                                ? (l.end = parseInt(a.end, 10))
                                                : typeof a.end == 'number'
                                                ? (l.end = a.end)
                                                : typeof a.end == 'object' &&
                                                  (l.end = new n.LongBits(
                                                      a.end.low >>> 0,
                                                      a.end.high >>> 0
                                                  ).toNumber())),
                                        l
                                    );
                                }),
                                (r.toObject = function (a, l) {
                                    l || (l = {});
                                    var p = {};
                                    if (l.defaults) {
                                        if (n.Long) {
                                            var m = new n.Long(0, 0, !1);
                                            p.begin =
                                                l.longs === String
                                                    ? m.toString()
                                                    : l.longs === Number
                                                    ? m.toNumber()
                                                    : m;
                                        } else p.begin = l.longs === String ? '0' : 0;
                                        if (n.Long) {
                                            var m = new n.Long(0, 0, !1);
                                            p.end =
                                                l.longs === String
                                                    ? m.toString()
                                                    : l.longs === Number
                                                    ? m.toNumber()
                                                    : m;
                                        } else p.end = l.longs === String ? '0' : 0;
                                    }
                                    return (
                                        a.begin != null &&
                                            a.hasOwnProperty('begin') &&
                                            (typeof a.begin == 'number'
                                                ? (p.begin = l.longs === String ? String(a.begin) : a.begin)
                                                : (p.begin =
                                                      l.longs === String
                                                          ? n.Long.prototype.toString.call(a.begin)
                                                          : l.longs === Number
                                                          ? new n.LongBits(
                                                                a.begin.low >>> 0,
                                                                a.begin.high >>> 0
                                                            ).toNumber()
                                                          : a.begin)),
                                        a.end != null &&
                                            a.hasOwnProperty('end') &&
                                            (typeof a.end == 'number'
                                                ? (p.end = l.longs === String ? String(a.end) : a.end)
                                                : (p.end =
                                                      l.longs === String
                                                          ? n.Long.prototype.toString.call(a.end)
                                                          : l.longs === Number
                                                          ? new n.LongBits(a.end.low >>> 0, a.end.high >>> 0).toNumber()
                                                          : a.end)),
                                        p
                                    );
                                }),
                                (r.prototype.toJSON = function () {
                                    return this.constructor.toObject(this, o.util.toJSONOptions);
                                }),
                                (r.getTypeUrl = function (a) {
                                    return a === void 0 && (a = 'type.googleapis.com'), a + '/onnx.TensorProto.Segment';
                                }),
                                r
                            );
                        })()),
                        (f.DataLocation = (function () {
                            var r = {},
                                a = Object.create(r);
                            return (a[(r[0] = 'DEFAULT')] = 0), (a[(r[1] = 'EXTERNAL')] = 1), a;
                        })()),
                        f
                    );
                })()),
                (d.SparseTensorProto = (function () {
                    function f(r) {
                        if (((this.dims = []), r))
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.values = null),
                        (f.prototype.indices = null),
                        (f.prototype.dims = n.emptyArray),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if (
                                (a || (a = u.create()),
                                r.values != null &&
                                    Object.hasOwnProperty.call(r, 'values') &&
                                    s.onnx.TensorProto.encode(r.values, a.uint32(10).fork()).ldelim(),
                                r.indices != null &&
                                    Object.hasOwnProperty.call(r, 'indices') &&
                                    s.onnx.TensorProto.encode(r.indices, a.uint32(18).fork()).ldelim(),
                                r.dims != null && r.dims.length)
                            ) {
                                a.uint32(26).fork();
                                for (var l = 0; l < r.dims.length; ++l) a.int64(r.dims[l]);
                                a.ldelim();
                            }
                            return a;
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (
                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.SparseTensorProto();
                                r.pos < l;

                            ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        p.values = s.onnx.TensorProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 2: {
                                        p.indices = s.onnx.TensorProto.decode(r, r.uint32());
                                        break;
                                    }
                                    case 3: {
                                        if (((p.dims && p.dims.length) || (p.dims = []), (m & 7) === 2))
                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.dims.push(r.int64());
                                        else p.dims.push(r.int64());
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.values != null && r.hasOwnProperty('values')) {
                                var a = s.onnx.TensorProto.verify(r.values);
                                if (a) return 'values.' + a;
                            }
                            if (r.indices != null && r.hasOwnProperty('indices')) {
                                var a = s.onnx.TensorProto.verify(r.indices);
                                if (a) return 'indices.' + a;
                            }
                            if (r.dims != null && r.hasOwnProperty('dims')) {
                                if (!Array.isArray(r.dims)) return 'dims: array expected';
                                for (var l = 0; l < r.dims.length; ++l)
                                    if (
                                        !n.isInteger(r.dims[l]) &&
                                        !(r.dims[l] && n.isInteger(r.dims[l].low) && n.isInteger(r.dims[l].high))
                                    )
                                        return 'dims: integer|Long[] expected';
                            }
                            return null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.SparseTensorProto) return r;
                            var a = new s.onnx.SparseTensorProto();
                            if (r.values != null) {
                                if (typeof r.values != 'object')
                                    throw TypeError('.onnx.SparseTensorProto.values: object expected');
                                a.values = s.onnx.TensorProto.fromObject(r.values);
                            }
                            if (r.indices != null) {
                                if (typeof r.indices != 'object')
                                    throw TypeError('.onnx.SparseTensorProto.indices: object expected');
                                a.indices = s.onnx.TensorProto.fromObject(r.indices);
                            }
                            if (r.dims) {
                                if (!Array.isArray(r.dims))
                                    throw TypeError('.onnx.SparseTensorProto.dims: array expected');
                                a.dims = [];
                                for (var l = 0; l < r.dims.length; ++l)
                                    n.Long
                                        ? ((a.dims[l] = n.Long.fromValue(r.dims[l])).unsigned = !1)
                                        : typeof r.dims[l] == 'string'
                                        ? (a.dims[l] = parseInt(r.dims[l], 10))
                                        : typeof r.dims[l] == 'number'
                                        ? (a.dims[l] = r.dims[l])
                                        : typeof r.dims[l] == 'object' &&
                                          (a.dims[l] = new n.LongBits(
                                              r.dims[l].low >>> 0,
                                              r.dims[l].high >>> 0
                                          ).toNumber());
                            }
                            return a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (
                                ((a.arrays || a.defaults) && (l.dims = []),
                                a.defaults && ((l.values = null), (l.indices = null)),
                                r.values != null &&
                                    r.hasOwnProperty('values') &&
                                    (l.values = s.onnx.TensorProto.toObject(r.values, a)),
                                r.indices != null &&
                                    r.hasOwnProperty('indices') &&
                                    (l.indices = s.onnx.TensorProto.toObject(r.indices, a)),
                                r.dims && r.dims.length)
                            ) {
                                l.dims = [];
                                for (var p = 0; p < r.dims.length; ++p)
                                    typeof r.dims[p] == 'number'
                                        ? (l.dims[p] = a.longs === String ? String(r.dims[p]) : r.dims[p])
                                        : (l.dims[p] =
                                              a.longs === String
                                                  ? n.Long.prototype.toString.call(r.dims[p])
                                                  : a.longs === Number
                                                  ? new n.LongBits(r.dims[p].low >>> 0, r.dims[p].high >>> 0).toNumber()
                                                  : r.dims[p]);
                            }
                            return l;
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.SparseTensorProto';
                        }),
                        f
                    );
                })()),
                (d.TensorShapeProto = (function () {
                    function f(r) {
                        if (((this.dim = []), r))
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.dim = n.emptyArray),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if ((a || (a = u.create()), r.dim != null && r.dim.length))
                                for (var l = 0; l < r.dim.length; ++l)
                                    s.onnx.TensorShapeProto.Dimension.encode(r.dim[l], a.uint32(10).fork()).ldelim();
                            return a;
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (
                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.TensorShapeProto();
                                r.pos < l;

                            ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        (p.dim && p.dim.length) || (p.dim = []),
                                            p.dim.push(s.onnx.TensorShapeProto.Dimension.decode(r, r.uint32()));
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.dim != null && r.hasOwnProperty('dim')) {
                                if (!Array.isArray(r.dim)) return 'dim: array expected';
                                for (var a = 0; a < r.dim.length; ++a) {
                                    var l = s.onnx.TensorShapeProto.Dimension.verify(r.dim[a]);
                                    if (l) return 'dim.' + l;
                                }
                            }
                            return null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.TensorShapeProto) return r;
                            var a = new s.onnx.TensorShapeProto();
                            if (r.dim) {
                                if (!Array.isArray(r.dim))
                                    throw TypeError('.onnx.TensorShapeProto.dim: array expected');
                                a.dim = [];
                                for (var l = 0; l < r.dim.length; ++l) {
                                    if (typeof r.dim[l] != 'object')
                                        throw TypeError('.onnx.TensorShapeProto.dim: object expected');
                                    a.dim[l] = s.onnx.TensorShapeProto.Dimension.fromObject(r.dim[l]);
                                }
                            }
                            return a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (((a.arrays || a.defaults) && (l.dim = []), r.dim && r.dim.length)) {
                                l.dim = [];
                                for (var p = 0; p < r.dim.length; ++p)
                                    l.dim[p] = s.onnx.TensorShapeProto.Dimension.toObject(r.dim[p], a);
                            }
                            return l;
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.TensorShapeProto';
                        }),
                        (f.Dimension = (function () {
                            function r(l) {
                                if (l)
                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
                            }
                            (r.prototype.dimValue = null), (r.prototype.dimParam = null), (r.prototype.denotation = '');
                            var a;
                            return (
                                Object.defineProperty(r.prototype, 'value', {
                                    get: n.oneOfGetter((a = ['dimValue', 'dimParam'])),
                                    set: n.oneOfSetter(a),
                                }),
                                (r.create = function (l) {
                                    return new r(l);
                                }),
                                (r.encode = function (l, p) {
                                    return (
                                        p || (p = u.create()),
                                        l.dimValue != null &&
                                            Object.hasOwnProperty.call(l, 'dimValue') &&
                                            p.uint32(8).int64(l.dimValue),
                                        l.dimParam != null &&
                                            Object.hasOwnProperty.call(l, 'dimParam') &&
                                            p.uint32(18).string(l.dimParam),
                                        l.denotation != null &&
                                            Object.hasOwnProperty.call(l, 'denotation') &&
                                            p.uint32(26).string(l.denotation),
                                        p
                                    );
                                }),
                                (r.encodeDelimited = function (l, p) {
                                    return this.encode(l, p).ldelim();
                                }),
                                (r.decode = function (l, p) {
                                    l instanceof i || (l = i.create(l));
                                    for (
                                        var m = p === void 0 ? l.len : l.pos + p,
                                            y = new s.onnx.TensorShapeProto.Dimension();
                                        l.pos < m;

                                    ) {
                                        var T = l.uint32();
                                        switch (T >>> 3) {
                                            case 1: {
                                                y.dimValue = l.int64();
                                                break;
                                            }
                                            case 2: {
                                                y.dimParam = l.string();
                                                break;
                                            }
                                            case 3: {
                                                y.denotation = l.string();
                                                break;
                                            }
                                            default:
                                                l.skipType(T & 7);
                                                break;
                                        }
                                    }
                                    return y;
                                }),
                                (r.decodeDelimited = function (l) {
                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
                                }),
                                (r.verify = function (l) {
                                    if (typeof l != 'object' || l === null) return 'object expected';
                                    var p = {};
                                    if (
                                        l.dimValue != null &&
                                        l.hasOwnProperty('dimValue') &&
                                        ((p.value = 1),
                                        !n.isInteger(l.dimValue) &&
                                            !(
                                                l.dimValue &&
                                                n.isInteger(l.dimValue.low) &&
                                                n.isInteger(l.dimValue.high)
                                            ))
                                    )
                                        return 'dimValue: integer|Long expected';
                                    if (l.dimParam != null && l.hasOwnProperty('dimParam')) {
                                        if (p.value === 1) return 'value: multiple values';
                                        if (((p.value = 1), !n.isString(l.dimParam)))
                                            return 'dimParam: string expected';
                                    }
                                    return l.denotation != null &&
                                        l.hasOwnProperty('denotation') &&
                                        !n.isString(l.denotation)
                                        ? 'denotation: string expected'
                                        : null;
                                }),
                                (r.fromObject = function (l) {
                                    if (l instanceof s.onnx.TensorShapeProto.Dimension) return l;
                                    var p = new s.onnx.TensorShapeProto.Dimension();
                                    return (
                                        l.dimValue != null &&
                                            (n.Long
                                                ? ((p.dimValue = n.Long.fromValue(l.dimValue)).unsigned = !1)
                                                : typeof l.dimValue == 'string'
                                                ? (p.dimValue = parseInt(l.dimValue, 10))
                                                : typeof l.dimValue == 'number'
                                                ? (p.dimValue = l.dimValue)
                                                : typeof l.dimValue == 'object' &&
                                                  (p.dimValue = new n.LongBits(
                                                      l.dimValue.low >>> 0,
                                                      l.dimValue.high >>> 0
                                                  ).toNumber())),
                                        l.dimParam != null && (p.dimParam = String(l.dimParam)),
                                        l.denotation != null && (p.denotation = String(l.denotation)),
                                        p
                                    );
                                }),
                                (r.toObject = function (l, p) {
                                    p || (p = {});
                                    var m = {};
                                    return (
                                        p.defaults && (m.denotation = ''),
                                        l.dimValue != null &&
                                            l.hasOwnProperty('dimValue') &&
                                            (typeof l.dimValue == 'number'
                                                ? (m.dimValue = p.longs === String ? String(l.dimValue) : l.dimValue)
                                                : (m.dimValue =
                                                      p.longs === String
                                                          ? n.Long.prototype.toString.call(l.dimValue)
                                                          : p.longs === Number
                                                          ? new n.LongBits(
                                                                l.dimValue.low >>> 0,
                                                                l.dimValue.high >>> 0
                                                            ).toNumber()
                                                          : l.dimValue),
                                            p.oneofs && (m.value = 'dimValue')),
                                        l.dimParam != null &&
                                            l.hasOwnProperty('dimParam') &&
                                            ((m.dimParam = l.dimParam), p.oneofs && (m.value = 'dimParam')),
                                        l.denotation != null &&
                                            l.hasOwnProperty('denotation') &&
                                            (m.denotation = l.denotation),
                                        m
                                    );
                                }),
                                (r.prototype.toJSON = function () {
                                    return this.constructor.toObject(this, o.util.toJSONOptions);
                                }),
                                (r.getTypeUrl = function (l) {
                                    return (
                                        l === void 0 && (l = 'type.googleapis.com'),
                                        l + '/onnx.TensorShapeProto.Dimension'
                                    );
                                }),
                                r
                            );
                        })()),
                        f
                    );
                })()),
                (d.TypeProto = (function () {
                    function f(a) {
                        if (a)
                            for (var l = Object.keys(a), p = 0; p < l.length; ++p)
                                a[l[p]] != null && (this[l[p]] = a[l[p]]);
                    }
                    (f.prototype.tensorType = null),
                        (f.prototype.sequenceType = null),
                        (f.prototype.mapType = null),
                        (f.prototype.optionalType = null),
                        (f.prototype.sparseTensorType = null),
                        (f.prototype.denotation = '');
                    var r;
                    return (
                        Object.defineProperty(f.prototype, 'value', {
                            get: n.oneOfGetter(
                                (r = ['tensorType', 'sequenceType', 'mapType', 'optionalType', 'sparseTensorType'])
                            ),
                            set: n.oneOfSetter(r),
                        }),
                        (f.create = function (a) {
                            return new f(a);
                        }),
                        (f.encode = function (a, l) {
                            return (
                                l || (l = u.create()),
                                a.tensorType != null &&
                                    Object.hasOwnProperty.call(a, 'tensorType') &&
                                    s.onnx.TypeProto.Tensor.encode(a.tensorType, l.uint32(10).fork()).ldelim(),
                                a.sequenceType != null &&
                                    Object.hasOwnProperty.call(a, 'sequenceType') &&
                                    s.onnx.TypeProto.Sequence.encode(a.sequenceType, l.uint32(34).fork()).ldelim(),
                                a.mapType != null &&
                                    Object.hasOwnProperty.call(a, 'mapType') &&
                                    s.onnx.TypeProto.Map.encode(a.mapType, l.uint32(42).fork()).ldelim(),
                                a.denotation != null &&
                                    Object.hasOwnProperty.call(a, 'denotation') &&
                                    l.uint32(50).string(a.denotation),
                                a.sparseTensorType != null &&
                                    Object.hasOwnProperty.call(a, 'sparseTensorType') &&
                                    s.onnx.TypeProto.SparseTensor.encode(
                                        a.sparseTensorType,
                                        l.uint32(66).fork()
                                    ).ldelim(),
                                a.optionalType != null &&
                                    Object.hasOwnProperty.call(a, 'optionalType') &&
                                    s.onnx.TypeProto.Optional.encode(a.optionalType, l.uint32(74).fork()).ldelim(),
                                l
                            );
                        }),
                        (f.encodeDelimited = function (a, l) {
                            return this.encode(a, l).ldelim();
                        }),
                        (f.decode = function (a, l) {
                            a instanceof i || (a = i.create(a));
                            for (var p = l === void 0 ? a.len : a.pos + l, m = new s.onnx.TypeProto(); a.pos < p; ) {
                                var y = a.uint32();
                                switch (y >>> 3) {
                                    case 1: {
                                        m.tensorType = s.onnx.TypeProto.Tensor.decode(a, a.uint32());
                                        break;
                                    }
                                    case 4: {
                                        m.sequenceType = s.onnx.TypeProto.Sequence.decode(a, a.uint32());
                                        break;
                                    }
                                    case 5: {
                                        m.mapType = s.onnx.TypeProto.Map.decode(a, a.uint32());
                                        break;
                                    }
                                    case 9: {
                                        m.optionalType = s.onnx.TypeProto.Optional.decode(a, a.uint32());
                                        break;
                                    }
                                    case 8: {
                                        m.sparseTensorType = s.onnx.TypeProto.SparseTensor.decode(a, a.uint32());
                                        break;
                                    }
                                    case 6: {
                                        m.denotation = a.string();
                                        break;
                                    }
                                    default:
                                        a.skipType(y & 7);
                                        break;
                                }
                            }
                            return m;
                        }),
                        (f.decodeDelimited = function (a) {
                            return a instanceof i || (a = new i(a)), this.decode(a, a.uint32());
                        }),
                        (f.verify = function (a) {
                            if (typeof a != 'object' || a === null) return 'object expected';
                            var l = {};
                            if (a.tensorType != null && a.hasOwnProperty('tensorType')) {
                                l.value = 1;
                                {
                                    var p = s.onnx.TypeProto.Tensor.verify(a.tensorType);
                                    if (p) return 'tensorType.' + p;
                                }
                            }
                            if (a.sequenceType != null && a.hasOwnProperty('sequenceType')) {
                                if (l.value === 1) return 'value: multiple values';
                                l.value = 1;
                                {
                                    var p = s.onnx.TypeProto.Sequence.verify(a.sequenceType);
                                    if (p) return 'sequenceType.' + p;
                                }
                            }
                            if (a.mapType != null && a.hasOwnProperty('mapType')) {
                                if (l.value === 1) return 'value: multiple values';
                                l.value = 1;
                                {
                                    var p = s.onnx.TypeProto.Map.verify(a.mapType);
                                    if (p) return 'mapType.' + p;
                                }
                            }
                            if (a.optionalType != null && a.hasOwnProperty('optionalType')) {
                                if (l.value === 1) return 'value: multiple values';
                                l.value = 1;
                                {
                                    var p = s.onnx.TypeProto.Optional.verify(a.optionalType);
                                    if (p) return 'optionalType.' + p;
                                }
                            }
                            if (a.sparseTensorType != null && a.hasOwnProperty('sparseTensorType')) {
                                if (l.value === 1) return 'value: multiple values';
                                l.value = 1;
                                {
                                    var p = s.onnx.TypeProto.SparseTensor.verify(a.sparseTensorType);
                                    if (p) return 'sparseTensorType.' + p;
                                }
                            }
                            return a.denotation != null && a.hasOwnProperty('denotation') && !n.isString(a.denotation)
                                ? 'denotation: string expected'
                                : null;
                        }),
                        (f.fromObject = function (a) {
                            if (a instanceof s.onnx.TypeProto) return a;
                            var l = new s.onnx.TypeProto();
                            if (a.tensorType != null) {
                                if (typeof a.tensorType != 'object')
                                    throw TypeError('.onnx.TypeProto.tensorType: object expected');
                                l.tensorType = s.onnx.TypeProto.Tensor.fromObject(a.tensorType);
                            }
                            if (a.sequenceType != null) {
                                if (typeof a.sequenceType != 'object')
                                    throw TypeError('.onnx.TypeProto.sequenceType: object expected');
                                l.sequenceType = s.onnx.TypeProto.Sequence.fromObject(a.sequenceType);
                            }
                            if (a.mapType != null) {
                                if (typeof a.mapType != 'object')
                                    throw TypeError('.onnx.TypeProto.mapType: object expected');
                                l.mapType = s.onnx.TypeProto.Map.fromObject(a.mapType);
                            }
                            if (a.optionalType != null) {
                                if (typeof a.optionalType != 'object')
                                    throw TypeError('.onnx.TypeProto.optionalType: object expected');
                                l.optionalType = s.onnx.TypeProto.Optional.fromObject(a.optionalType);
                            }
                            if (a.sparseTensorType != null) {
                                if (typeof a.sparseTensorType != 'object')
                                    throw TypeError('.onnx.TypeProto.sparseTensorType: object expected');
                                l.sparseTensorType = s.onnx.TypeProto.SparseTensor.fromObject(a.sparseTensorType);
                            }
                            return a.denotation != null && (l.denotation = String(a.denotation)), l;
                        }),
                        (f.toObject = function (a, l) {
                            l || (l = {});
                            var p = {};
                            return (
                                l.defaults && (p.denotation = ''),
                                a.tensorType != null &&
                                    a.hasOwnProperty('tensorType') &&
                                    ((p.tensorType = s.onnx.TypeProto.Tensor.toObject(a.tensorType, l)),
                                    l.oneofs && (p.value = 'tensorType')),
                                a.sequenceType != null &&
                                    a.hasOwnProperty('sequenceType') &&
                                    ((p.sequenceType = s.onnx.TypeProto.Sequence.toObject(a.sequenceType, l)),
                                    l.oneofs && (p.value = 'sequenceType')),
                                a.mapType != null &&
                                    a.hasOwnProperty('mapType') &&
                                    ((p.mapType = s.onnx.TypeProto.Map.toObject(a.mapType, l)),
                                    l.oneofs && (p.value = 'mapType')),
                                a.denotation != null && a.hasOwnProperty('denotation') && (p.denotation = a.denotation),
                                a.sparseTensorType != null &&
                                    a.hasOwnProperty('sparseTensorType') &&
                                    ((p.sparseTensorType = s.onnx.TypeProto.SparseTensor.toObject(
                                        a.sparseTensorType,
                                        l
                                    )),
                                    l.oneofs && (p.value = 'sparseTensorType')),
                                a.optionalType != null &&
                                    a.hasOwnProperty('optionalType') &&
                                    ((p.optionalType = s.onnx.TypeProto.Optional.toObject(a.optionalType, l)),
                                    l.oneofs && (p.value = 'optionalType')),
                                p
                            );
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (a) {
                            return a === void 0 && (a = 'type.googleapis.com'), a + '/onnx.TypeProto';
                        }),
                        (f.Tensor = (function () {
                            function a(l) {
                                if (l)
                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
                            }
                            return (
                                (a.prototype.elemType = 0),
                                (a.prototype.shape = null),
                                (a.create = function (l) {
                                    return new a(l);
                                }),
                                (a.encode = function (l, p) {
                                    return (
                                        p || (p = u.create()),
                                        l.elemType != null &&
                                            Object.hasOwnProperty.call(l, 'elemType') &&
                                            p.uint32(8).int32(l.elemType),
                                        l.shape != null &&
                                            Object.hasOwnProperty.call(l, 'shape') &&
                                            s.onnx.TensorShapeProto.encode(l.shape, p.uint32(18).fork()).ldelim(),
                                        p
                                    );
                                }),
                                (a.encodeDelimited = function (l, p) {
                                    return this.encode(l, p).ldelim();
                                }),
                                (a.decode = function (l, p) {
                                    l instanceof i || (l = i.create(l));
                                    for (
                                        var m = p === void 0 ? l.len : l.pos + p, y = new s.onnx.TypeProto.Tensor();
                                        l.pos < m;

                                    ) {
                                        var T = l.uint32();
                                        switch (T >>> 3) {
                                            case 1: {
                                                y.elemType = l.int32();
                                                break;
                                            }
                                            case 2: {
                                                y.shape = s.onnx.TensorShapeProto.decode(l, l.uint32());
                                                break;
                                            }
                                            default:
                                                l.skipType(T & 7);
                                                break;
                                        }
                                    }
                                    return y;
                                }),
                                (a.decodeDelimited = function (l) {
                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
                                }),
                                (a.verify = function (l) {
                                    if (typeof l != 'object' || l === null) return 'object expected';
                                    if (l.elemType != null && l.hasOwnProperty('elemType') && !n.isInteger(l.elemType))
                                        return 'elemType: integer expected';
                                    if (l.shape != null && l.hasOwnProperty('shape')) {
                                        var p = s.onnx.TensorShapeProto.verify(l.shape);
                                        if (p) return 'shape.' + p;
                                    }
                                    return null;
                                }),
                                (a.fromObject = function (l) {
                                    if (l instanceof s.onnx.TypeProto.Tensor) return l;
                                    var p = new s.onnx.TypeProto.Tensor();
                                    if ((l.elemType != null && (p.elemType = l.elemType | 0), l.shape != null)) {
                                        if (typeof l.shape != 'object')
                                            throw TypeError('.onnx.TypeProto.Tensor.shape: object expected');
                                        p.shape = s.onnx.TensorShapeProto.fromObject(l.shape);
                                    }
                                    return p;
                                }),
                                (a.toObject = function (l, p) {
                                    p || (p = {});
                                    var m = {};
                                    return (
                                        p.defaults && ((m.elemType = 0), (m.shape = null)),
                                        l.elemType != null && l.hasOwnProperty('elemType') && (m.elemType = l.elemType),
                                        l.shape != null &&
                                            l.hasOwnProperty('shape') &&
                                            (m.shape = s.onnx.TensorShapeProto.toObject(l.shape, p)),
                                        m
                                    );
                                }),
                                (a.prototype.toJSON = function () {
                                    return this.constructor.toObject(this, o.util.toJSONOptions);
                                }),
                                (a.getTypeUrl = function (l) {
                                    return l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.Tensor';
                                }),
                                a
                            );
                        })()),
                        (f.Sequence = (function () {
                            function a(l) {
                                if (l)
                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
                            }
                            return (
                                (a.prototype.elemType = null),
                                (a.create = function (l) {
                                    return new a(l);
                                }),
                                (a.encode = function (l, p) {
                                    return (
                                        p || (p = u.create()),
                                        l.elemType != null &&
                                            Object.hasOwnProperty.call(l, 'elemType') &&
                                            s.onnx.TypeProto.encode(l.elemType, p.uint32(10).fork()).ldelim(),
                                        p
                                    );
                                }),
                                (a.encodeDelimited = function (l, p) {
                                    return this.encode(l, p).ldelim();
                                }),
                                (a.decode = function (l, p) {
                                    l instanceof i || (l = i.create(l));
                                    for (
                                        var m = p === void 0 ? l.len : l.pos + p, y = new s.onnx.TypeProto.Sequence();
                                        l.pos < m;

                                    ) {
                                        var T = l.uint32();
                                        switch (T >>> 3) {
                                            case 1: {
                                                y.elemType = s.onnx.TypeProto.decode(l, l.uint32());
                                                break;
                                            }
                                            default:
                                                l.skipType(T & 7);
                                                break;
                                        }
                                    }
                                    return y;
                                }),
                                (a.decodeDelimited = function (l) {
                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
                                }),
                                (a.verify = function (l) {
                                    if (typeof l != 'object' || l === null) return 'object expected';
                                    if (l.elemType != null && l.hasOwnProperty('elemType')) {
                                        var p = s.onnx.TypeProto.verify(l.elemType);
                                        if (p) return 'elemType.' + p;
                                    }
                                    return null;
                                }),
                                (a.fromObject = function (l) {
                                    if (l instanceof s.onnx.TypeProto.Sequence) return l;
                                    var p = new s.onnx.TypeProto.Sequence();
                                    if (l.elemType != null) {
                                        if (typeof l.elemType != 'object')
                                            throw TypeError('.onnx.TypeProto.Sequence.elemType: object expected');
                                        p.elemType = s.onnx.TypeProto.fromObject(l.elemType);
                                    }
                                    return p;
                                }),
                                (a.toObject = function (l, p) {
                                    p || (p = {});
                                    var m = {};
                                    return (
                                        p.defaults && (m.elemType = null),
                                        l.elemType != null &&
                                            l.hasOwnProperty('elemType') &&
                                            (m.elemType = s.onnx.TypeProto.toObject(l.elemType, p)),
                                        m
                                    );
                                }),
                                (a.prototype.toJSON = function () {
                                    return this.constructor.toObject(this, o.util.toJSONOptions);
                                }),
                                (a.getTypeUrl = function (l) {
                                    return l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.Sequence';
                                }),
                                a
                            );
                        })()),
                        (f.Map = (function () {
                            function a(l) {
                                if (l)
                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
                            }
                            return (
                                (a.prototype.keyType = 0),
                                (a.prototype.valueType = null),
                                (a.create = function (l) {
                                    return new a(l);
                                }),
                                (a.encode = function (l, p) {
                                    return (
                                        p || (p = u.create()),
                                        l.keyType != null &&
                                            Object.hasOwnProperty.call(l, 'keyType') &&
                                            p.uint32(8).int32(l.keyType),
                                        l.valueType != null &&
                                            Object.hasOwnProperty.call(l, 'valueType') &&
                                            s.onnx.TypeProto.encode(l.valueType, p.uint32(18).fork()).ldelim(),
                                        p
                                    );
                                }),
                                (a.encodeDelimited = function (l, p) {
                                    return this.encode(l, p).ldelim();
                                }),
                                (a.decode = function (l, p) {
                                    l instanceof i || (l = i.create(l));
                                    for (
                                        var m = p === void 0 ? l.len : l.pos + p, y = new s.onnx.TypeProto.Map();
                                        l.pos < m;

                                    ) {
                                        var T = l.uint32();
                                        switch (T >>> 3) {
                                            case 1: {
                                                y.keyType = l.int32();
                                                break;
                                            }
                                            case 2: {
                                                y.valueType = s.onnx.TypeProto.decode(l, l.uint32());
                                                break;
                                            }
                                            default:
                                                l.skipType(T & 7);
                                                break;
                                        }
                                    }
                                    return y;
                                }),
                                (a.decodeDelimited = function (l) {
                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
                                }),
                                (a.verify = function (l) {
                                    if (typeof l != 'object' || l === null) return 'object expected';
                                    if (l.keyType != null && l.hasOwnProperty('keyType') && !n.isInteger(l.keyType))
                                        return 'keyType: integer expected';
                                    if (l.valueType != null && l.hasOwnProperty('valueType')) {
                                        var p = s.onnx.TypeProto.verify(l.valueType);
                                        if (p) return 'valueType.' + p;
                                    }
                                    return null;
                                }),
                                (a.fromObject = function (l) {
                                    if (l instanceof s.onnx.TypeProto.Map) return l;
                                    var p = new s.onnx.TypeProto.Map();
                                    if ((l.keyType != null && (p.keyType = l.keyType | 0), l.valueType != null)) {
                                        if (typeof l.valueType != 'object')
                                            throw TypeError('.onnx.TypeProto.Map.valueType: object expected');
                                        p.valueType = s.onnx.TypeProto.fromObject(l.valueType);
                                    }
                                    return p;
                                }),
                                (a.toObject = function (l, p) {
                                    p || (p = {});
                                    var m = {};
                                    return (
                                        p.defaults && ((m.keyType = 0), (m.valueType = null)),
                                        l.keyType != null && l.hasOwnProperty('keyType') && (m.keyType = l.keyType),
                                        l.valueType != null &&
                                            l.hasOwnProperty('valueType') &&
                                            (m.valueType = s.onnx.TypeProto.toObject(l.valueType, p)),
                                        m
                                    );
                                }),
                                (a.prototype.toJSON = function () {
                                    return this.constructor.toObject(this, o.util.toJSONOptions);
                                }),
                                (a.getTypeUrl = function (l) {
                                    return l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.Map';
                                }),
                                a
                            );
                        })()),
                        (f.Optional = (function () {
                            function a(l) {
                                if (l)
                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
                            }
                            return (
                                (a.prototype.elemType = null),
                                (a.create = function (l) {
                                    return new a(l);
                                }),
                                (a.encode = function (l, p) {
                                    return (
                                        p || (p = u.create()),
                                        l.elemType != null &&
                                            Object.hasOwnProperty.call(l, 'elemType') &&
                                            s.onnx.TypeProto.encode(l.elemType, p.uint32(10).fork()).ldelim(),
                                        p
                                    );
                                }),
                                (a.encodeDelimited = function (l, p) {
                                    return this.encode(l, p).ldelim();
                                }),
                                (a.decode = function (l, p) {
                                    l instanceof i || (l = i.create(l));
                                    for (
                                        var m = p === void 0 ? l.len : l.pos + p, y = new s.onnx.TypeProto.Optional();
                                        l.pos < m;

                                    ) {
                                        var T = l.uint32();
                                        switch (T >>> 3) {
                                            case 1: {
                                                y.elemType = s.onnx.TypeProto.decode(l, l.uint32());
                                                break;
                                            }
                                            default:
                                                l.skipType(T & 7);
                                                break;
                                        }
                                    }
                                    return y;
                                }),
                                (a.decodeDelimited = function (l) {
                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
                                }),
                                (a.verify = function (l) {
                                    if (typeof l != 'object' || l === null) return 'object expected';
                                    if (l.elemType != null && l.hasOwnProperty('elemType')) {
                                        var p = s.onnx.TypeProto.verify(l.elemType);
                                        if (p) return 'elemType.' + p;
                                    }
                                    return null;
                                }),
                                (a.fromObject = function (l) {
                                    if (l instanceof s.onnx.TypeProto.Optional) return l;
                                    var p = new s.onnx.TypeProto.Optional();
                                    if (l.elemType != null) {
                                        if (typeof l.elemType != 'object')
                                            throw TypeError('.onnx.TypeProto.Optional.elemType: object expected');
                                        p.elemType = s.onnx.TypeProto.fromObject(l.elemType);
                                    }
                                    return p;
                                }),
                                (a.toObject = function (l, p) {
                                    p || (p = {});
                                    var m = {};
                                    return (
                                        p.defaults && (m.elemType = null),
                                        l.elemType != null &&
                                            l.hasOwnProperty('elemType') &&
                                            (m.elemType = s.onnx.TypeProto.toObject(l.elemType, p)),
                                        m
                                    );
                                }),
                                (a.prototype.toJSON = function () {
                                    return this.constructor.toObject(this, o.util.toJSONOptions);
                                }),
                                (a.getTypeUrl = function (l) {
                                    return l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.Optional';
                                }),
                                a
                            );
                        })()),
                        (f.SparseTensor = (function () {
                            function a(l) {
                                if (l)
                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
                            }
                            return (
                                (a.prototype.elemType = 0),
                                (a.prototype.shape = null),
                                (a.create = function (l) {
                                    return new a(l);
                                }),
                                (a.encode = function (l, p) {
                                    return (
                                        p || (p = u.create()),
                                        l.elemType != null &&
                                            Object.hasOwnProperty.call(l, 'elemType') &&
                                            p.uint32(8).int32(l.elemType),
                                        l.shape != null &&
                                            Object.hasOwnProperty.call(l, 'shape') &&
                                            s.onnx.TensorShapeProto.encode(l.shape, p.uint32(18).fork()).ldelim(),
                                        p
                                    );
                                }),
                                (a.encodeDelimited = function (l, p) {
                                    return this.encode(l, p).ldelim();
                                }),
                                (a.decode = function (l, p) {
                                    l instanceof i || (l = i.create(l));
                                    for (
                                        var m = p === void 0 ? l.len : l.pos + p,
                                            y = new s.onnx.TypeProto.SparseTensor();
                                        l.pos < m;

                                    ) {
                                        var T = l.uint32();
                                        switch (T >>> 3) {
                                            case 1: {
                                                y.elemType = l.int32();
                                                break;
                                            }
                                            case 2: {
                                                y.shape = s.onnx.TensorShapeProto.decode(l, l.uint32());
                                                break;
                                            }
                                            default:
                                                l.skipType(T & 7);
                                                break;
                                        }
                                    }
                                    return y;
                                }),
                                (a.decodeDelimited = function (l) {
                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
                                }),
                                (a.verify = function (l) {
                                    if (typeof l != 'object' || l === null) return 'object expected';
                                    if (l.elemType != null && l.hasOwnProperty('elemType') && !n.isInteger(l.elemType))
                                        return 'elemType: integer expected';
                                    if (l.shape != null && l.hasOwnProperty('shape')) {
                                        var p = s.onnx.TensorShapeProto.verify(l.shape);
                                        if (p) return 'shape.' + p;
                                    }
                                    return null;
                                }),
                                (a.fromObject = function (l) {
                                    if (l instanceof s.onnx.TypeProto.SparseTensor) return l;
                                    var p = new s.onnx.TypeProto.SparseTensor();
                                    if ((l.elemType != null && (p.elemType = l.elemType | 0), l.shape != null)) {
                                        if (typeof l.shape != 'object')
                                            throw TypeError('.onnx.TypeProto.SparseTensor.shape: object expected');
                                        p.shape = s.onnx.TensorShapeProto.fromObject(l.shape);
                                    }
                                    return p;
                                }),
                                (a.toObject = function (l, p) {
                                    p || (p = {});
                                    var m = {};
                                    return (
                                        p.defaults && ((m.elemType = 0), (m.shape = null)),
                                        l.elemType != null && l.hasOwnProperty('elemType') && (m.elemType = l.elemType),
                                        l.shape != null &&
                                            l.hasOwnProperty('shape') &&
                                            (m.shape = s.onnx.TensorShapeProto.toObject(l.shape, p)),
                                        m
                                    );
                                }),
                                (a.prototype.toJSON = function () {
                                    return this.constructor.toObject(this, o.util.toJSONOptions);
                                }),
                                (a.getTypeUrl = function (l) {
                                    return (
                                        l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.SparseTensor'
                                    );
                                }),
                                a
                            );
                        })()),
                        f
                    );
                })()),
                (d.OperatorSetIdProto = (function () {
                    function f(r) {
                        if (r)
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.domain = ''),
                        (f.prototype.version = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            return (
                                a || (a = u.create()),
                                r.domain != null &&
                                    Object.hasOwnProperty.call(r, 'domain') &&
                                    a.uint32(10).string(r.domain),
                                r.version != null &&
                                    Object.hasOwnProperty.call(r, 'version') &&
                                    a.uint32(16).int64(r.version),
                                a
                            );
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (
                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.OperatorSetIdProto();
                                r.pos < l;

                            ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        p.domain = r.string();
                                        break;
                                    }
                                    case 2: {
                                        p.version = r.int64();
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            return typeof r != 'object' || r === null
                                ? 'object expected'
                                : r.domain != null && r.hasOwnProperty('domain') && !n.isString(r.domain)
                                ? 'domain: string expected'
                                : r.version != null &&
                                  r.hasOwnProperty('version') &&
                                  !n.isInteger(r.version) &&
                                  !(r.version && n.isInteger(r.version.low) && n.isInteger(r.version.high))
                                ? 'version: integer|Long expected'
                                : null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.OperatorSetIdProto) return r;
                            var a = new s.onnx.OperatorSetIdProto();
                            return (
                                r.domain != null && (a.domain = String(r.domain)),
                                r.version != null &&
                                    (n.Long
                                        ? ((a.version = n.Long.fromValue(r.version)).unsigned = !1)
                                        : typeof r.version == 'string'
                                        ? (a.version = parseInt(r.version, 10))
                                        : typeof r.version == 'number'
                                        ? (a.version = r.version)
                                        : typeof r.version == 'object' &&
                                          (a.version = new n.LongBits(
                                              r.version.low >>> 0,
                                              r.version.high >>> 0
                                          ).toNumber())),
                                a
                            );
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (a.defaults)
                                if (((l.domain = ''), n.Long)) {
                                    var p = new n.Long(0, 0, !1);
                                    l.version =
                                        a.longs === String ? p.toString() : a.longs === Number ? p.toNumber() : p;
                                } else l.version = a.longs === String ? '0' : 0;
                            return (
                                r.domain != null && r.hasOwnProperty('domain') && (l.domain = r.domain),
                                r.version != null &&
                                    r.hasOwnProperty('version') &&
                                    (typeof r.version == 'number'
                                        ? (l.version = a.longs === String ? String(r.version) : r.version)
                                        : (l.version =
                                              a.longs === String
                                                  ? n.Long.prototype.toString.call(r.version)
                                                  : a.longs === Number
                                                  ? new n.LongBits(r.version.low >>> 0, r.version.high >>> 0).toNumber()
                                                  : r.version)),
                                l
                            );
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.OperatorSetIdProto';
                        }),
                        f
                    );
                })()),
                (d.OperatorStatus = (function () {
                    var f = {},
                        r = Object.create(f);
                    return (r[(f[0] = 'EXPERIMENTAL')] = 0), (r[(f[1] = 'STABLE')] = 1), r;
                })()),
                (d.FunctionProto = (function () {
                    function f(r) {
                        if (
                            ((this.input = []),
                            (this.output = []),
                            (this.attribute = []),
                            (this.attributeProto = []),
                            (this.node = []),
                            (this.opsetImport = []),
                            r)
                        )
                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
                    }
                    return (
                        (f.prototype.name = ''),
                        (f.prototype.input = n.emptyArray),
                        (f.prototype.output = n.emptyArray),
                        (f.prototype.attribute = n.emptyArray),
                        (f.prototype.attributeProto = n.emptyArray),
                        (f.prototype.node = n.emptyArray),
                        (f.prototype.docString = ''),
                        (f.prototype.opsetImport = n.emptyArray),
                        (f.prototype.domain = ''),
                        (f.create = function (r) {
                            return new f(r);
                        }),
                        (f.encode = function (r, a) {
                            if (
                                (a || (a = u.create()),
                                r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(10).string(r.name),
                                r.input != null && r.input.length)
                            )
                                for (var l = 0; l < r.input.length; ++l) a.uint32(34).string(r.input[l]);
                            if (r.output != null && r.output.length)
                                for (var l = 0; l < r.output.length; ++l) a.uint32(42).string(r.output[l]);
                            if (r.attribute != null && r.attribute.length)
                                for (var l = 0; l < r.attribute.length; ++l) a.uint32(50).string(r.attribute[l]);
                            if (r.node != null && r.node.length)
                                for (var l = 0; l < r.node.length; ++l)
                                    s.onnx.NodeProto.encode(r.node[l], a.uint32(58).fork()).ldelim();
                            if (
                                (r.docString != null &&
                                    Object.hasOwnProperty.call(r, 'docString') &&
                                    a.uint32(66).string(r.docString),
                                r.opsetImport != null && r.opsetImport.length)
                            )
                                for (var l = 0; l < r.opsetImport.length; ++l)
                                    s.onnx.OperatorSetIdProto.encode(r.opsetImport[l], a.uint32(74).fork()).ldelim();
                            if (
                                (r.domain != null &&
                                    Object.hasOwnProperty.call(r, 'domain') &&
                                    a.uint32(82).string(r.domain),
                                r.attributeProto != null && r.attributeProto.length)
                            )
                                for (var l = 0; l < r.attributeProto.length; ++l)
                                    s.onnx.AttributeProto.encode(r.attributeProto[l], a.uint32(90).fork()).ldelim();
                            return a;
                        }),
                        (f.encodeDelimited = function (r, a) {
                            return this.encode(r, a).ldelim();
                        }),
                        (f.decode = function (r, a) {
                            r instanceof i || (r = i.create(r));
                            for (
                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.FunctionProto();
                                r.pos < l;

                            ) {
                                var m = r.uint32();
                                switch (m >>> 3) {
                                    case 1: {
                                        p.name = r.string();
                                        break;
                                    }
                                    case 4: {
                                        (p.input && p.input.length) || (p.input = []), p.input.push(r.string());
                                        break;
                                    }
                                    case 5: {
                                        (p.output && p.output.length) || (p.output = []), p.output.push(r.string());
                                        break;
                                    }
                                    case 6: {
                                        (p.attribute && p.attribute.length) || (p.attribute = []),
                                            p.attribute.push(r.string());
                                        break;
                                    }
                                    case 11: {
                                        (p.attributeProto && p.attributeProto.length) || (p.attributeProto = []),
                                            p.attributeProto.push(s.onnx.AttributeProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 7: {
                                        (p.node && p.node.length) || (p.node = []),
                                            p.node.push(s.onnx.NodeProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 8: {
                                        p.docString = r.string();
                                        break;
                                    }
                                    case 9: {
                                        (p.opsetImport && p.opsetImport.length) || (p.opsetImport = []),
                                            p.opsetImport.push(s.onnx.OperatorSetIdProto.decode(r, r.uint32()));
                                        break;
                                    }
                                    case 10: {
                                        p.domain = r.string();
                                        break;
                                    }
                                    default:
                                        r.skipType(m & 7);
                                        break;
                                }
                            }
                            return p;
                        }),
                        (f.decodeDelimited = function (r) {
                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
                        }),
                        (f.verify = function (r) {
                            if (typeof r != 'object' || r === null) return 'object expected';
                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
                                return 'name: string expected';
                            if (r.input != null && r.hasOwnProperty('input')) {
                                if (!Array.isArray(r.input)) return 'input: array expected';
                                for (var a = 0; a < r.input.length; ++a)
                                    if (!n.isString(r.input[a])) return 'input: string[] expected';
                            }
                            if (r.output != null && r.hasOwnProperty('output')) {
                                if (!Array.isArray(r.output)) return 'output: array expected';
                                for (var a = 0; a < r.output.length; ++a)
                                    if (!n.isString(r.output[a])) return 'output: string[] expected';
                            }
                            if (r.attribute != null && r.hasOwnProperty('attribute')) {
                                if (!Array.isArray(r.attribute)) return 'attribute: array expected';
                                for (var a = 0; a < r.attribute.length; ++a)
                                    if (!n.isString(r.attribute[a])) return 'attribute: string[] expected';
                            }
                            if (r.attributeProto != null && r.hasOwnProperty('attributeProto')) {
                                if (!Array.isArray(r.attributeProto)) return 'attributeProto: array expected';
                                for (var a = 0; a < r.attributeProto.length; ++a) {
                                    var l = s.onnx.AttributeProto.verify(r.attributeProto[a]);
                                    if (l) return 'attributeProto.' + l;
                                }
                            }
                            if (r.node != null && r.hasOwnProperty('node')) {
                                if (!Array.isArray(r.node)) return 'node: array expected';
                                for (var a = 0; a < r.node.length; ++a) {
                                    var l = s.onnx.NodeProto.verify(r.node[a]);
                                    if (l) return 'node.' + l;
                                }
                            }
                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
                                return 'docString: string expected';
                            if (r.opsetImport != null && r.hasOwnProperty('opsetImport')) {
                                if (!Array.isArray(r.opsetImport)) return 'opsetImport: array expected';
                                for (var a = 0; a < r.opsetImport.length; ++a) {
                                    var l = s.onnx.OperatorSetIdProto.verify(r.opsetImport[a]);
                                    if (l) return 'opsetImport.' + l;
                                }
                            }
                            return r.domain != null && r.hasOwnProperty('domain') && !n.isString(r.domain)
                                ? 'domain: string expected'
                                : null;
                        }),
                        (f.fromObject = function (r) {
                            if (r instanceof s.onnx.FunctionProto) return r;
                            var a = new s.onnx.FunctionProto();
                            if ((r.name != null && (a.name = String(r.name)), r.input)) {
                                if (!Array.isArray(r.input))
                                    throw TypeError('.onnx.FunctionProto.input: array expected');
                                a.input = [];
                                for (var l = 0; l < r.input.length; ++l) a.input[l] = String(r.input[l]);
                            }
                            if (r.output) {
                                if (!Array.isArray(r.output))
                                    throw TypeError('.onnx.FunctionProto.output: array expected');
                                a.output = [];
                                for (var l = 0; l < r.output.length; ++l) a.output[l] = String(r.output[l]);
                            }
                            if (r.attribute) {
                                if (!Array.isArray(r.attribute))
                                    throw TypeError('.onnx.FunctionProto.attribute: array expected');
                                a.attribute = [];
                                for (var l = 0; l < r.attribute.length; ++l) a.attribute[l] = String(r.attribute[l]);
                            }
                            if (r.attributeProto) {
                                if (!Array.isArray(r.attributeProto))
                                    throw TypeError('.onnx.FunctionProto.attributeProto: array expected');
                                a.attributeProto = [];
                                for (var l = 0; l < r.attributeProto.length; ++l) {
                                    if (typeof r.attributeProto[l] != 'object')
                                        throw TypeError('.onnx.FunctionProto.attributeProto: object expected');
                                    a.attributeProto[l] = s.onnx.AttributeProto.fromObject(r.attributeProto[l]);
                                }
                            }
                            if (r.node) {
                                if (!Array.isArray(r.node)) throw TypeError('.onnx.FunctionProto.node: array expected');
                                a.node = [];
                                for (var l = 0; l < r.node.length; ++l) {
                                    if (typeof r.node[l] != 'object')
                                        throw TypeError('.onnx.FunctionProto.node: object expected');
                                    a.node[l] = s.onnx.NodeProto.fromObject(r.node[l]);
                                }
                            }
                            if ((r.docString != null && (a.docString = String(r.docString)), r.opsetImport)) {
                                if (!Array.isArray(r.opsetImport))
                                    throw TypeError('.onnx.FunctionProto.opsetImport: array expected');
                                a.opsetImport = [];
                                for (var l = 0; l < r.opsetImport.length; ++l) {
                                    if (typeof r.opsetImport[l] != 'object')
                                        throw TypeError('.onnx.FunctionProto.opsetImport: object expected');
                                    a.opsetImport[l] = s.onnx.OperatorSetIdProto.fromObject(r.opsetImport[l]);
                                }
                            }
                            return r.domain != null && (a.domain = String(r.domain)), a;
                        }),
                        (f.toObject = function (r, a) {
                            a || (a = {});
                            var l = {};
                            if (
                                ((a.arrays || a.defaults) &&
                                    ((l.input = []),
                                    (l.output = []),
                                    (l.attribute = []),
                                    (l.node = []),
                                    (l.opsetImport = []),
                                    (l.attributeProto = [])),
                                a.defaults && ((l.name = ''), (l.docString = ''), (l.domain = '')),
                                r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
                                r.input && r.input.length)
                            ) {
                                l.input = [];
                                for (var p = 0; p < r.input.length; ++p) l.input[p] = r.input[p];
                            }
                            if (r.output && r.output.length) {
                                l.output = [];
                                for (var p = 0; p < r.output.length; ++p) l.output[p] = r.output[p];
                            }
                            if (r.attribute && r.attribute.length) {
                                l.attribute = [];
                                for (var p = 0; p < r.attribute.length; ++p) l.attribute[p] = r.attribute[p];
                            }
                            if (r.node && r.node.length) {
                                l.node = [];
                                for (var p = 0; p < r.node.length; ++p)
                                    l.node[p] = s.onnx.NodeProto.toObject(r.node[p], a);
                            }
                            if (
                                (r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
                                r.opsetImport && r.opsetImport.length)
                            ) {
                                l.opsetImport = [];
                                for (var p = 0; p < r.opsetImport.length; ++p)
                                    l.opsetImport[p] = s.onnx.OperatorSetIdProto.toObject(r.opsetImport[p], a);
                            }
                            if (
                                (r.domain != null && r.hasOwnProperty('domain') && (l.domain = r.domain),
                                r.attributeProto && r.attributeProto.length)
                            ) {
                                l.attributeProto = [];
                                for (var p = 0; p < r.attributeProto.length; ++p)
                                    l.attributeProto[p] = s.onnx.AttributeProto.toObject(r.attributeProto[p], a);
                            }
                            return l;
                        }),
                        (f.prototype.toJSON = function () {
                            return this.constructor.toObject(this, o.util.toJSONOptions);
                        }),
                        (f.getTypeUrl = function (r) {
                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.FunctionProto';
                        }),
                        f
                    );
                })()),
                d
            );
        })()),
            (e.exports = s);
    });
function Cr(t, e) {
    if (!t) throw new Error(typeof e == 'string' ? e : e());
}
function sn(t) {
    return new TextDecoder().decode(t);
}
var ye,
    cr,
    hi,
    Xe,
    Xn,
    Ve,
    nt,
    U,
    an,
    pr,
    dr,
    hr,
    fe = L(() => {
        Wn(),
            ei(),
            (ye = Er($r())),
            mr(),
            (cr = class {
                static arraysEqual(t, e) {
                    if (t.length !== e.length) return !1;
                    for (let o = 0; o < t.length; o++) if (t[o] !== e[o]) return !1;
                    return !0;
                }
            }),
            (hi = class {
                static preprocessInputShapes(t, e) {
                    let o = t.length === 1 ? [1, t[0]] : t,
                        i = e.length === 1 ? [e[0], 1] : e;
                    return [o, i];
                }
                static postprocessOutputShape(t, e, o) {
                    e === 1 && t.splice(t.length - 2, 1), o === 1 && t.pop();
                }
                static calcMatMulShape(t, e) {
                    return t[1] !== e[0] ? void 0 : [t[0], e[1]];
                }
            }),
            (Xe = class fr {
                static calcShape(e, o, i = !1) {
                    let u = e.length,
                        n = o.length;
                    if (u === 0) return o;
                    if (n === 0) return e;
                    let s = Math.max(e.length, o.length),
                        d = new Array(s);
                    if (i) {
                        if (u < 2 || n < 2) return;
                        let f = hi.calcMatMulShape([e[u - 2], e[u - 1]], [o[n - 2], o[n - 1]]);
                        if (f === void 0) return;
                        [d[s - 2], d[s - 1]] = f;
                    }
                    for (let f = i ? 3 : 1; f <= s; f++) {
                        let r = u - f < 0 ? 1 : e[u - f],
                            a = n - f < 0 ? 1 : o[n - f];
                        if (r !== a && r > 1 && a > 1) return;
                        d[s - f] = Math.max(r, a);
                    }
                    return d;
                }
                static index(e, o) {
                    let i = new Array(o.length);
                    return fr.fillIndex(e, o, i), i;
                }
                static fillIndex(e, o, i) {
                    let u = e.length - o.length;
                    for (let n = 0; n < o.length; n++) i[n] = e[u + n] % o[n];
                }
                static calc(e, o, i, u, n) {
                    let s = fr.calcShape(e.dims, o.dims);
                    if (s) {
                        if (u && !U.areEqual(s, e.dims)) return;
                        let d = U.size(s),
                            f = u ? e : new Fe(s, n || e.type);
                        if (s.length === 0) f.set([], i(e.get([]), o.get([])));
                        else {
                            let r = new Array(s.length),
                                a = new Array(e.dims.length),
                                l = new Array(o.dims.length),
                                p = 0,
                                m = 0,
                                y = !1,
                                T = !1;
                            e.dims.length === 0 && ((p = e.get([])), (y = !0)),
                                o.dims.length === 0 && ((m = o.get([])), (T = !0));
                            let v;
                            for (let S = 0; S < d; S++) {
                                v = S;
                                for (let E = s.length - 1; E >= 0; E--) (r[E] = v % s[E]), (v = Math.floor(v / s[E]));
                                y || (fr.fillIndex(r, e.dims, a), (p = e.get(a))),
                                    T || (fr.fillIndex(r, o.dims, l), (m = o.get(l))),
                                    f.set(r, i(p, m));
                            }
                        }
                        return f;
                    }
                }
                static isValidBroadcast(e, o) {
                    let i = e.length,
                        u = o.length;
                    if (i > u) return !1;
                    for (let n = 1; n <= i; n++) if (e[i - n] !== 1 && e[i - n] !== o[u - n]) return !1;
                    return !0;
                }
                static getBroadcastDims(e, o) {
                    let i = e.length,
                        u = [];
                    for (let n = 0; n < i; n++) {
                        let s = i - 1 - n,
                            d = e[s] || 1;
                        (o[o.length - 1 - n] || 1) > 1 && d === 1 && u.unshift(s);
                    }
                    return u;
                }
            }),
            (Xn = class {
                static getShapeOfGemmResult(t, e, o, i, u) {
                    if (t.length !== 2 || o.length !== 2) throw new Error('shape need to be of size 2');
                    let n, s, d;
                    e ? ((n = t[1]), (s = t[0])) : ((n = t[0]), (s = t[1]));
                    let f = -1;
                    if ((i ? ((d = o[0]), (f = 1)) : ((d = o[1]), (f = 0)), o[f] !== s))
                        throw new Error('dimension mismatch');
                    if (n <= 0 || d <= 0 || s <= 0) throw new Error('invalid shape specified');
                    if (u && !Xe.isValidBroadcast(u, [n, d])) throw new Error('gemm: invalid bias shape for broadcast');
                    return [n, d, s];
                }
            }),
            (Ve = class Sn {
                static tensorDataTypeFromProto(e) {
                    switch (e) {
                        case ye.onnx.TensorProto.DataType.INT8:
                            return 'int8';
                        case ye.onnx.TensorProto.DataType.UINT8:
                            return 'uint8';
                        case ye.onnx.TensorProto.DataType.BOOL:
                            return 'bool';
                        case ye.onnx.TensorProto.DataType.INT16:
                            return 'int16';
                        case ye.onnx.TensorProto.DataType.UINT16:
                            return 'uint16';
                        case ye.onnx.TensorProto.DataType.INT32:
                            return 'int32';
                        case ye.onnx.TensorProto.DataType.UINT32:
                            return 'uint32';
                        case ye.onnx.TensorProto.DataType.FLOAT:
                            return 'float32';
                        case ye.onnx.TensorProto.DataType.DOUBLE:
                            return 'float64';
                        case ye.onnx.TensorProto.DataType.STRING:
                            return 'string';
                        case ye.onnx.TensorProto.DataType.INT64:
                            return 'int32';
                        case ye.onnx.TensorProto.DataType.UINT64:
                            return 'uint32';
                        default:
                            throw new Error(`unsupported data type: ${ye.onnx.TensorProto.DataType[e]}`);
                    }
                }
                static tensorDataTypeStringToEnum(e) {
                    switch (e) {
                        case 'int8':
                            return ye.onnx.TensorProto.DataType.INT8;
                        case 'uint8':
                            return ye.onnx.TensorProto.DataType.UINT8;
                        case 'bool':
                            return ye.onnx.TensorProto.DataType.BOOL;
                        case 'int16':
                            return ye.onnx.TensorProto.DataType.INT16;
                        case 'uint16':
                            return ye.onnx.TensorProto.DataType.UINT16;
                        case 'int32':
                            return ye.onnx.TensorProto.DataType.INT32;
                        case 'uint32':
                            return ye.onnx.TensorProto.DataType.UINT32;
                        case 'float32':
                            return ye.onnx.TensorProto.DataType.FLOAT;
                        case 'float64':
                            return ye.onnx.TensorProto.DataType.DOUBLE;
                        case 'string':
                            return ye.onnx.TensorProto.DataType.STRING;
                        case 'int64':
                            return ye.onnx.TensorProto.DataType.INT64;
                        case 'uint64':
                            return ye.onnx.TensorProto.DataType.UINT64;
                        default:
                            throw new Error(`unsupported data type: ${e}`);
                    }
                }
                static tensorDimsFromProto(e) {
                    return e.map((o) => (zt.isLong(o) ? o.toNumber() : o));
                }
                static tensorValueTypeFromProto(e) {
                    return {
                        tensorType: Sn.tensorDataTypeFromProto(e.elemType),
                        shape: { dims: Sn.tensorDimsFromProto(e.shape.dim.map((o) => o.dimValue)) },
                    };
                }
                static tensorDimsFromORTFormat(e) {
                    let o = [];
                    for (let i = 0; i < e.dimsLength(); i++) o.push(nt.longToNumber(e.dims(i)));
                    return o;
                }
                static tensorAttributesFromORTFormat(e) {
                    let o = [];
                    for (let i = 0; i < e.attributesLength(); i++) o.push(e.attributes(i));
                    return o;
                }
            }),
            (nt = class {
                static longToNumber(t, e) {
                    return zt.isLong(t)
                        ? t.toNumber()
                        : t instanceof _.Long
                        ? zt.fromValue({ low: t.low, high: t.high, unsigned: e ?? !1 }).toNumber()
                        : t;
                }
                static isLong(t) {
                    return zt.isLong(t) || t instanceof _.Long;
                }
            }),
            (U = class Pt {
                static size(e) {
                    return Pt.getSizeFromDimensionRange(e, 0, e.length);
                }
                static sizeFromDimension(e, o) {
                    if (o < 0 || o > e.length)
                        throw new Error(
                            `invalid dimension of ${o} for sizeFromDimension as Tensor has ${e.length} dimensions.`
                        );
                    return Pt.getSizeFromDimensionRange(e, o, e.length);
                }
                static sizeToDimension(e, o) {
                    if (o < 0 || o > e.length)
                        throw new Error(
                            `invalid dimension of ${o} for sizeToDimension as Tensor has ${e.length} dimensions.`
                        );
                    return Pt.getSizeFromDimensionRange(e, 0, o);
                }
                static getSizeFromDimensionRange(e, o, i) {
                    let u = 1;
                    for (let n = o; n < i; n++) {
                        if (e[n] <= 0)
                            throw new Error(
                                'cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.'
                            );
                        u *= e[n];
                    }
                    return u;
                }
                static computeStrides(e) {
                    let o = e.length;
                    if (o === 0) return [];
                    if (o === 1) return [1];
                    let i = new Array(o);
                    (i[o - 1] = 1), (i[o - 2] = e[o - 1]);
                    for (let u = o - 3; u >= 0; --u) i[u] = i[u + 1] * e[u + 1];
                    return i;
                }
                static transpose(e) {
                    return e.slice().reverse();
                }
                static indicesToOffset(e, o, i) {
                    i === void 0 && (i = e.length);
                    let u = 0;
                    for (let n = 0; n < i; ++n) u += o[n] * e[n];
                    return u;
                }
                static offsetToIndices(e, o) {
                    let i = o.length;
                    if (i === 0) return [];
                    if (i === 1) return [e * o[0]];
                    let u = new Array(o.length);
                    for (let n = 0; n < u.length - 1; ++n) (u[n] = Math.floor(e / o[n])), (e -= u[n] * o[n]);
                    return (u[u.length - 1] = e), u;
                }
                static normalizeAxis(e, o) {
                    if (e < -o && e >= o) throw new Error('unsupported axis for this operation.');
                    return e < 0 ? e + o : e;
                }
                static normalizeAxes(e, o) {
                    return e.map((i) => this.normalizeAxis(i, o));
                }
                static incrementIndex(e, o, i) {
                    if (o.length === 0 || e.length === 0)
                        throw new Error('Index incrementing unsupported for scalar Tensor');
                    if (i === void 0) i = o.length;
                    else if (i <= 0 || i > o.length) throw new Error('Incorrect axis to increment on');
                    for (let u = i - 1; u >= 0 && (e[u]++, !(e[u] < o[u])); --u) e[u] = 0;
                }
                static calculateReshapedDims(e, o) {
                    if (o.length === 0) {
                        if (e.length === 0 || Pt.size(e) === 1) return [];
                        throw new Error('cannot reshape to a scalar Tensor');
                    }
                    let i = o.length,
                        u = new Array(i),
                        n = -1,
                        s = 1;
                    for (let f = 0; f < i; f++) {
                        if (o[f] < -1) throw new Error('a dimension in shape hints cannot be less than -1');
                        if (o[f] === -1) {
                            if (n !== -1) throw new Error('at most one dimension in shape hints can be -1');
                            n = f;
                        } else {
                            if (o[f] === 0) {
                                if (f >= e.length)
                                    throw new Error(
                                        'the dimension with value zero exceeds the dimension size of the input tensor'
                                    );
                                u[f] = e[f];
                            } else u[f] = o[f];
                            s *= u[f];
                        }
                    }
                    let d = Pt.size(e);
                    if (n !== -1) {
                        if (d % s !== 0)
                            throw new Error(
                                `the input tensor cannot be reshaped to the requested shape. Input shape: [${e}] Output shape: [${o}]`
                            );
                        u[n] = d / s;
                    } else if (s !== d) throw new Error("reshapedDims and originalDims don't have matching sizes");
                    return u;
                }
                static sortBasedOnPerm(e, o) {
                    return o ? o.map((i) => e[i]) : e.slice().reverse();
                }
                static padShape(e, o) {
                    let i = e.length;
                    return e.map((u, n) => u + o[n] + o[n + i]);
                }
                static areEqual(e, o) {
                    return e.length !== o.length ? !1 : e.every((i, u) => i === o[u]);
                }
                static validateDimsAndCalcSize(e) {
                    if (e.length > 6) throw new TypeError('Only rank 0 to 6 is supported for tensor shape.');
                    let o = 1;
                    for (let i of e) {
                        if (!Number.isInteger(i)) throw new TypeError(`Invalid shape: ${i} is not an integer`);
                        if (i < 0 || i > 2147483647) throw new TypeError(`Invalid shape: length ${i} is not allowed`);
                        o *= i;
                    }
                    return o;
                }
                static flattenShape(e, o) {
                    o < 0 && (o += e.length);
                    let i = e.reduce((n, s) => n * s, 1),
                        u = e.slice(o).reduce((n, s) => n * s, 1);
                    return [i / u, u];
                }
                static squeezeShape(e, o) {
                    let i = new Array();
                    o = Pt.normalizeAxes(o, e.length);
                    for (let u = 0; u < e.length; u++) {
                        let n = o.indexOf(u) >= 0;
                        if (n && e[u] !== 1) throw new Error('squeeze an axis of size different than 1');
                        ((o.length === 0 && e[u] > 1) || (o.length > 0 && !n)) && i.push(e[u]);
                    }
                    return i;
                }
                static unsqueezeShape(e, o) {
                    let i = new Array(e.length + o.length);
                    i.fill(0);
                    for (let n = 0; n < o.length; n++) {
                        let s = Pt.normalizeAxis(o[n], i.length);
                        if (s >= i.length) throw new Error("'axes' has an out of range axis");
                        if (i[s] !== 0) throw new Error("'axes' has a duplicate axis");
                        i[s] = 1;
                    }
                    let u = 0;
                    for (let n = 0; n < i.length; n++) i[n] === 0 && (i[n] = e[u++]);
                    if (u !== e.length) throw new Error('the unsqueezed dimension could not be established');
                    return i;
                }
            }),
            (an = class js {
                static splitShape(e, o, i, u) {
                    if (i.length === 0) {
                        if (!u)
                            throw new Error(
                                "need to know number of outputs when the 'split' attribute is not specified"
                            );
                        js.determineSplit(e[o], u, i);
                    }
                    let n = [],
                        s = [0];
                    for (let d = 0; d < i.length; ++d) {
                        d !== 0 && s.push(s[d - 1] + i[d - 1]);
                        let f = e.slice();
                        (f[o] = i[d]), n.push(f);
                    }
                    return [n, s];
                }
                static determineSplit(e, o, i) {
                    if (e % o !== 0) throw new Error('cannot split tensor to equal sized parts');
                    for (let u = 0; u < o; ++u) i.push(e / o);
                }
            }),
            (pr = class _r {
                static adjustPoolAttributes(e, o, i, u, n, s) {
                    if (!e && i.length !== o.length - 2)
                        throw new Error(
                            'length of specified kernel shapes should be 2 less than length of input dimensions'
                        );
                    if (e) for (let d = 0; d < o.length - 2; d++) d >= i.length ? i.push(o[d + 2]) : (i[d] = o[d + 2]);
                    for (let d = 0; d < i.length; d++)
                        if (d < u.length) {
                            if (u[d] < 0) throw new Error('strides should be greater than or equal to 1');
                        } else u.push(1);
                    for (let d = 0; d < i.length; d++)
                        if (d < n.length) {
                            if (n[d] < 0) throw new Error('dilations should be greater than or equal to 1');
                        } else n.push(1);
                    for (let d = 0; d < i.length * 2; d++)
                        if (d < s.length) {
                            if (s[d] < 0) throw new Error('pad should be greater than or equal to 1');
                        } else s.push(0);
                    for (let d = 0; d < i.length; d++) {
                        if (i[d] <= 0) throw new Error('kernel shapes need to be greater than 0');
                        if (s[d] >= i[d] || s[d + i.length] >= i[d])
                            throw new Error('pads should be smaller than kernel');
                    }
                }
                static adjustPadsBasedOnAutoPad(e, o, i, u, n, s) {
                    if (s) {
                        if (n.length !== 2 * (e.length - 2))
                            throw new Error('length of pads should be twice the length of data dimensions');
                        if (o.length !== e.length - 2)
                            throw new Error('length of strides should be the length of data dimensions');
                        if (u.length !== e.length - 2)
                            throw new Error('length of kernel shapes should be the length of data dimensions');
                        for (let d = 0; d < e.length - 2; d++)
                            _r.adjustPadAndReturnShape(e[d + 2], o[d], i[d], u[d], n, d, d + e.length - 2, s);
                    }
                }
                static computePoolOutputShape(e, o, i, u, n, s, d) {
                    if (o.length <= 0) throw new Error('input shape must be of size greater than 0');
                    let f = [o[0], o[1]];
                    return _r.computeShapeHelper(e, o, f, i, u, n, s, d), f;
                }
                static computeConvOutputShape(e, o, i, u, n, s, d) {
                    if (e.length <= 0 || o.length <= 0)
                        throw new Error('invalid input tensor dims or invalid filter tensor dims');
                    let f = [e[0], o[0]];
                    return _r.computeShapeHelper(!1, e, f, i, u, n, s, d), f;
                }
                static computeShapeHelper(e, o, i, u, n, s, d, f) {
                    if (e) for (let r = 0; r < o.length - 2; r++) i.push(1);
                    else
                        for (let r = 0; r < o.length - 2; r++)
                            i.push(_r.adjustPadAndReturnShape(o[r + 2], u[r], n[r], s[r], d, r, r + o.length - 2, f));
                }
                static adjustPadAndReturnShape(e, o, i, u, n, s, d, f) {
                    let r = i * (u - 1) + 1;
                    if (f && f !== 'NOTSET')
                        switch (f) {
                            case 'VALID':
                                return (n[s] = 0), (n[d] = 0), Math.floor((e - r) / o + 1);
                            case 'SAME_LOWER':
                            case 'SAME_UPPER':
                                if (i !== 1) throw new Error('Dilation not supported for SAME_UPPER or SAME_LOWER');
                                {
                                    let a = ((e + o - 1) / o - 1) * o + u - e;
                                    return (
                                        (n[s] = Math.floor(f === 'SAME_LOWER' ? (a + 1) / 2 : a / 2)),
                                        (n[d] = a - n[s]),
                                        Math.floor((e + a - u) / o + 1)
                                    );
                                }
                            default:
                                throw new Error('Unsupported AutoPad type');
                        }
                    else return Math.floor((e + n[s] + n[d] - r) / o + 1);
                }
            }),
            (dr = -34028234663852886e22),
            (hr = 34028234663852886e22);
    });
function Vd(t) {
    switch (t) {
        case 'bool':
        case 'int8':
        case 'uint8':
            return 1;
        case 'int16':
        case 'uint16':
            return 2;
        case 'int32':
        case 'uint32':
        case 'float32':
            return 4;
        case 'float64':
            return 8;
        default:
            throw new Error(`cannot calculate sizeof() on type ${t}`);
    }
}
function Fu(t) {
    switch (t) {
        case te.onnx.TensorProto.DataType.UINT8:
        case te.onnx.TensorProto.DataType.INT8:
        case te.onnx.TensorProto.DataType.BOOL:
            return 1;
        case te.onnx.TensorProto.DataType.UINT16:
        case te.onnx.TensorProto.DataType.INT16:
            return 2;
        case te.onnx.TensorProto.DataType.FLOAT:
        case te.onnx.TensorProto.DataType.INT32:
        case te.onnx.TensorProto.DataType.UINT32:
            return 4;
        case te.onnx.TensorProto.DataType.INT64:
        case te.onnx.TensorProto.DataType.DOUBLE:
        case te.onnx.TensorProto.DataType.UINT64:
            return 8;
        default:
            throw new Error(`cannot calculate sizeof() on type ${te.onnx.TensorProto.DataType[t]}`);
    }
}
function Wd(t, e) {
    return new (ku(e))(t);
}
function ku(t) {
    switch (t) {
        case 'bool':
        case 'uint8':
            return Uint8Array;
        case 'int8':
            return Int8Array;
        case 'int16':
            return Int16Array;
        case 'uint16':
            return Uint16Array;
        case 'int32':
            return Int32Array;
        case 'uint32':
            return Uint32Array;
        case 'int64':
            return BigInt64Array;
        case 'float32':
            return Float32Array;
        case 'float64':
            return Float64Array;
        default:
            throw new Error('unspecified error');
    }
}
function bi(t, e) {
    if (e === te.onnx.TensorProto.DataType.INT64 || e === mi.TensorDataType.INT64) {
        if (t.greaterThanOrEqual(2147483648) || t.lessThan(-2147483648)) throw new TypeError('int64 is not supported');
    } else if (
        e === te.onnx.TensorProto.DataType.UINT32 ||
        e === mi.TensorDataType.UINT32 ||
        e === te.onnx.TensorProto.DataType.UINT64 ||
        e === mi.TensorDataType.UINT64
    ) {
        if (t.greaterThanOrEqual(4294967296) || t.lessThan(0)) throw new TypeError('uint64 is not supported');
    } else throw new TypeError(`not a LONG type: ${te.onnx.TensorProto.DataType[e]}`);
    return t.toNumber();
}
function $u(t, e, o) {
    switch (e) {
        case te.onnx.TensorProto.DataType.BOOL:
        case te.onnx.TensorProto.DataType.UINT8:
            return t.getUint8(o);
        case te.onnx.TensorProto.DataType.INT8:
            return t.getInt8(o);
        case te.onnx.TensorProto.DataType.UINT16:
            return t.getUint16(o, !0);
        case te.onnx.TensorProto.DataType.INT16:
            return t.getInt16(o, !0);
        case te.onnx.TensorProto.DataType.FLOAT:
            return t.getFloat32(o, !0);
        case te.onnx.TensorProto.DataType.INT32:
            return t.getInt32(o, !0);
        case te.onnx.TensorProto.DataType.UINT32:
            return t.getUint32(o, !0);
        case te.onnx.TensorProto.DataType.INT64:
            return bi(zt.fromBits(t.getUint32(o, !0), t.getUint32(o + 4, !0), !1), e);
        case te.onnx.TensorProto.DataType.DOUBLE:
            return t.getFloat64(o, !0);
        case te.onnx.TensorProto.DataType.UINT64:
            return bi(zt.fromBits(t.getUint32(o, !0), t.getUint32(o + 4, !0), !0), e);
        default:
            throw new Error(`cannot read from DataView for type ${te.onnx.TensorProto.DataType[e]}`);
    }
}
var Cu,
    te,
    mi,
    Fe,
    mr = L(() => {
        (Cu = Er(_s())),
            ei(),
            tn(),
            (te = Er($r())),
            fe(),
            (mi = W.experimental.fbs),
            (Fe = class Kr {
                constructor(e, o, i, u, n, s = Cu.Guid.create()) {
                    (this.dims = e),
                        (this.type = o),
                        (this.dataProvider = i),
                        (this.asyncDataProvider = u),
                        (this.cache = n),
                        (this.dataId = s),
                        (this.size = U.validateDimsAndCalcSize(e));
                    let d = this.size,
                        f = i === void 0 && u === void 0 && n === void 0;
                    if (n !== void 0 && n.length !== d) throw new RangeError("Input dims doesn't match data length.");
                    if (o === 'string') {
                        if (n !== void 0 && (!Array.isArray(n) || !n.every((r) => typeof r == 'string')))
                            throw new TypeError('cache should be a string array');
                        f && (this.cache = new Array(d));
                    } else {
                        if (n !== void 0) {
                            let r = ku(o);
                            if (!(n instanceof r)) throw new TypeError(`cache should be type ${r.name}`);
                        }
                        if (f) {
                            let r = new ArrayBuffer(d * Vd(o));
                            this.cache = Wd(r, o);
                        }
                    }
                }
                get data() {
                    if (this.cache === void 0) {
                        let e = this.dataProvider(this.dataId);
                        if (e.length !== this.size)
                            throw new Error(
                                'Length of data provided by the Data Provider is inconsistent with the dims of this Tensor.'
                            );
                        this.cache = e;
                    }
                    return this.cache;
                }
                get stringData() {
                    if (this.type !== 'string') throw new TypeError('data type is not string');
                    return this.data;
                }
                get integerData() {
                    switch (this.type) {
                        case 'uint8':
                        case 'int8':
                        case 'uint16':
                        case 'int16':
                        case 'int32':
                        case 'uint32':
                        case 'bool':
                            return this.data;
                        default:
                            throw new TypeError(
                                'data type is not integer (uint8, int8, uint16, int16, int32, uint32, bool)'
                            );
                    }
                }
                get floatData() {
                    switch (this.type) {
                        case 'float32':
                        case 'float64':
                            return this.data;
                        default:
                            throw new TypeError('data type is not float (float32, float64)');
                    }
                }
                get numberData() {
                    if (this.type !== 'string') return this.data;
                    throw new TypeError('type cannot be non-number (string)');
                }
                get(e) {
                    return this.data[U.indicesToOffset(e, this.strides)];
                }
                set(e, o) {
                    this.data[U.indicesToOffset(e, this.strides)] = o;
                }
                async getData() {
                    return (
                        this.cache === void 0 && (this.cache = await this.asyncDataProvider(this.dataId)), this.cache
                    );
                }
                get strides() {
                    return this._strides || (this._strides = U.computeStrides(this.dims)), this._strides;
                }
                static fromProto(e) {
                    if (!e) throw new Error('cannot construct Value from an empty tensor');
                    let o = Ve.tensorDataTypeFromProto(e.dataType),
                        i = Ve.tensorDimsFromProto(e.dims),
                        u = new Kr(i, o);
                    if (o === 'string')
                        e.stringData.forEach((n, s) => {
                            u.data[s] = sn(n);
                        });
                    else if (e.rawData && typeof e.rawData.byteLength == 'number' && e.rawData.byteLength > 0) {
                        let n = u.data,
                            s = new DataView(e.rawData.buffer, e.rawData.byteOffset, e.rawData.byteLength),
                            d = Fu(e.dataType),
                            f = e.rawData.byteLength / d;
                        if (e.rawData.byteLength % d !== 0) throw new Error('invalid buffer length');
                        if (n.length !== f) throw new Error('buffer length mismatch');
                        for (let r = 0; r < f; r++) {
                            let a = $u(s, e.dataType, r * d);
                            n[r] = a;
                        }
                    } else {
                        let n;
                        switch (e.dataType) {
                            case te.onnx.TensorProto.DataType.FLOAT:
                                n = e.floatData;
                                break;
                            case te.onnx.TensorProto.DataType.INT32:
                            case te.onnx.TensorProto.DataType.INT16:
                            case te.onnx.TensorProto.DataType.UINT16:
                            case te.onnx.TensorProto.DataType.INT8:
                            case te.onnx.TensorProto.DataType.UINT8:
                            case te.onnx.TensorProto.DataType.BOOL:
                                n = e.int32Data;
                                break;
                            case te.onnx.TensorProto.DataType.INT64:
                                n = e.int64Data;
                                break;
                            case te.onnx.TensorProto.DataType.DOUBLE:
                                n = e.doubleData;
                                break;
                            case te.onnx.TensorProto.DataType.UINT32:
                            case te.onnx.TensorProto.DataType.UINT64:
                                n = e.uint64Data;
                                break;
                            default:
                                throw new Error('unspecific error');
                        }
                        if (n == null) throw new Error('failed to populate data from a tensorproto value');
                        let s = u.data;
                        if (s.length !== n.length) throw new Error('array length mismatch');
                        for (let d = 0; d < n.length; d++) {
                            let f = n[d];
                            zt.isLong(f) ? (s[d] = bi(f, e.dataType)) : (s[d] = f);
                        }
                    }
                    return u;
                }
                static fromData(e, o, i) {
                    return new Kr(o, i, void 0, void 0, e);
                }
                static fromOrtTensor(e) {
                    if (!e) throw new Error('cannot construct Value from an empty tensor');
                    let o = Ve.tensorDimsFromORTFormat(e),
                        i = Ve.tensorDataTypeFromProto(e.dataType()),
                        u = new Kr(o, i);
                    if (i === 'string') for (let n = 0; n < e.stringDataLength(); n++) u.data[n] = e.stringData(n);
                    else if (e.rawDataArray() && typeof e.rawDataLength() == 'number' && e.rawDataLength() > 0) {
                        let n = u.data,
                            s = new DataView(e.rawDataArray().buffer, e.rawDataArray().byteOffset, e.rawDataLength()),
                            d = Fu(e.dataType()),
                            f = e.rawDataLength() / d;
                        if (e.rawDataLength() % d !== 0) throw new Error('invalid buffer length');
                        if (n.length !== f) throw new Error('buffer length mismatch');
                        for (let r = 0; r < f; r++) {
                            let a = $u(s, e.dataType(), r * d);
                            n[r] = a;
                        }
                    }
                    return u;
                }
            });
    });
function q(t) {
    return t === 1 ? Hd : qd;
}
function Bu(t) {
    let e = q(t);
    return `${e.version}
      precision highp float;
      ${e.attribute} vec3 position;
      ${e.attribute} vec2 textureCoord;

      ${e.varyingVertex} vec2 TexCoords;

      void main()
      {
          gl_Position = vec4(position, 1.0);
          TexCoords = textureCoord;
      }`;
}
function Nu(t) {
    let e = q(t);
    return `${e.version}
    precision highp float;
    precision highp int;
    precision highp sampler2D;
    ${e.varyingFrag} vec2 TexCoords;
    ${e.outputDeclaration}
    const vec2 halfCR = vec2(0.5, 0.5);

    // Custom vector types to handle higher dimenalities.
    struct ivec5
    {
      int x;
      int y;
      int z;
      int w;
      int u;
    };

    struct ivec6
    {
      int x;
      int y;
      int z;
      int w;
      int u;
      int v;
    };

    int imod(int x, int y) {
      return x - y * (x / y);
    }

    `;
}
function Ru(t, e) {
    let o = q(t);
    return `
  void main() {
    int indices[${e}];
    toVec(TexCoords, indices);
    vec4 result = vec4(process(indices));
    ${o.output} = result;
  }
  `;
}
var Hd,
    qd,
    xe = L(() => {
        (Hd = {
            version: '',
            attribute: 'attribute',
            varyingVertex: 'varying',
            varyingFrag: 'varying',
            texture2D: 'texture2D',
            output: 'gl_FragColor',
            outputDeclaration: '',
        }),
            (qd = {
                version: '#version 300 es',
                attribute: 'in',
                varyingVertex: 'out',
                varyingFrag: 'in',
                texture2D: 'texture',
                output: 'outputColor',
                outputDeclaration: 'out vec4 outputColor;',
            });
    }),
    ae = L(() => {});
async function gi(t, e = (i) => 0, o) {
    return new Promise((i, u) => {
        let n = 0,
            s = () => {
                if (t()) {
                    i();
                    return;
                }
                n++;
                let d = e(n);
                if (o != null && n >= o) {
                    u();
                    return;
                }
                setTimeout(s, d);
            };
        s();
    });
}
function Kn(t) {
    return (
        Cr(typeof t < 'u' && t.length !== 0, () => 'empty string found for sampler name'),
        'get' + t.charAt(0).toUpperCase() + t.slice(1)
    );
}
function Mu(t) {
    return (
        Cr(typeof t < 'u' && t.length !== 0, () => 'empty string found for sampler name'),
        'get' + t.charAt(0).toUpperCase() + t.slice(1) + 'AtOutCoords'
    );
}
function kr(t, e) {
    let o = JSON.parse(JSON.stringify(t));
    return (o = e), o;
}
function Br(t, e) {
    return e.map((o) => t[o]).join(', ');
}
function Ke(t) {
    if (t <= 1) return 'int';
    if (t === 2) return 'ivec2';
    if (t === 3) return 'ivec3';
    if (t === 4) return 'ivec4';
    if (t === 5) return 'ivec5';
    if (t === 6) return 'ivec6';
    throw Error(`GPU for rank ${t} is not yet supported`);
}
function St(t = 6) {
    return ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, t);
}
var Ft = L(() => {
    fe();
});
function jd(t, e) {
    return St(e).map((o) => `${t}.${o}`);
}
function Nr(t, e) {
    return e === 1 ? [t] : jd(t, e);
}
function $t() {
    return `
    float getChannel(vec4 frag, int dim) {
      int modCoord = imod(dim, 2);
      return modCoord == 0 ? frag.r : frag.g;
    }

    float getChannel(vec4 frag, vec2 innerDims) {
      vec2 modCoord = mod(innerDims, 2.);
      return modCoord.x == 0. ?
        (modCoord.y == 0. ? frag.r : frag.g) :
        (modCoord.y == 0. ? frag.b : frag.a);
    }
  `;
}
var br = L(() => {
    Ft();
});
function Xd(t, e, o) {
    if (t === 0) return 'false';
    if (t === 1) return `rc > ${e[0]}`;
    let i = '';
    for (let u = t - 2; u < t; u++) (i += `${o[u]} >= ${e[u - t + 2]}`), u < t - 1 && (i += '||');
    return i;
}
function Kd(t, e) {
    let o = t.length;
    if (o === 0) return 'getA(), 0, 0, 0';
    if (o === 1)
        return `getA(rc),
            rc + 1 >= ${t[0]} ? 0. : getA(rc + 1),
            0, 0`;
    let i = 'r, c',
        u = 'r, cp1',
        n = 'rp1, c',
        s = 'rp1, cp1',
        d = '';
    if (o > 2) for (let f = 0; f < o - 2; ++f) d = d + `${e[f]},`;
    return `getA(${d}${i}),
          rEdge ? 0. : getA(${d}${n}),
          cEdge ? 0. : getA(${d}${u}),
          rEdge || cEdge ? 0. : getA(${d}${s})`;
}
function Jd(t, e, o, i) {
    return t === 0 || t === 1
        ? ''
        : `
    int r = ${e[t - 2]};
    int c = ${e[t - 1]};
    int rp1 = ${e[t - 2]} + 1;
    int cp1 = ${e[t - 1]} + 1;
    bool rEdge = rp1 >= ${i};
    bool cEdge = cp1 >= ${o};
    `;
}
var Gu,
    Yd,
    Uu,
    zu = L(() => {
        xe(),
            ae(),
            Ft(),
            br(),
            (Gu = { name: 'pack', inputNames: ['A'], inputTypes: [1] }),
            (Yd = (t, e) => {
                let o = q(t.session.backend.glContext.version),
                    i = e.dims,
                    u = i.length,
                    n = e.dims.length,
                    s = Ke(n),
                    d = Nr('rc', n),
                    f = Jd(n, d, i[i.length - 2], i[i.length - 1]),
                    r;
                u === 0 ? (r = [1, 1]) : u === 1 ? (r = [i[0], 1]) : (r = [i[n - 1], i[n - 2]]);
                let a = Xd(n, r, d),
                    l = Kd(i, d),
                    p = `
        void main() {
          ${s} rc = getOutputCoords();

          if(${a}) {
            ${o.output} = vec4(0);
          } else {
            ${f}

            ${o.output} = vec4(${l});
          }
        }
      `;
                return { ...Gu, hasMain: !0, output: { dims: e.dims, type: e.type, textureType: 2 }, shaderSource: p };
            }),
            (Uu = (t, e) => ({ ...Gu, get: () => Yd(t, e) }));
    });
function yi(t) {
    if (t.length === 0) return [1, 1, 1];
    let e = 1;
    for (let o = 0; o < t.length - 2; ++o) e *= t[o];
    return [e, t.length > 1 ? t[t.length - 2] : 1, t[t.length - 1]];
}
function Wu(t, e) {
    let o = !1;
    return (
        t.length === 0 || e.length === 0
            ? (o = !0)
            : t.length < 2 || e.length < 2
            ? (o = t[t.length - 1] === e[e.length - 1])
            : (o = t[t.length - 1] === e[e.length - 1] && t[t.length - 2] === e[e.length - 2]),
        o
    );
}
function eh(t) {
    let e = U.computeStrides(t),
        o = ['b', 'r', 'c'],
        i = 'index';
    return `
    ivec3 inputCoordsFromReshapedOutCoords(int index) {
      ${e
          .map((u, n) => {
              let s = `int ${o[n]} = ${i} / ${u}`,
                  d = n === e.length - 1 ? `int ${o[n + 1]} = ${i} - ${o[n]} * ${u}` : `index -= ${o[n]} * ${u}`;
              return `${s}; ${d};`;
          })
          .join('')}
      return ivec3(b, r, c);
    }
  `;
}
function th(t) {
    let e = U.computeStrides(t);
    return `
  int getFlattenedIndex(ivec3 coords) {
    // reverse y, z order
    return coords.x * ${e[0]} + coords.z * ${e[1]} + coords.y;
  }
`;
}
var Zd,
    Qd,
    Vu,
    Hu = L(() => {
        fe(),
            xe(),
            ae(),
            br(),
            (Zd = (t) => ({ name: 'Reshape (packed)', inputTypes: [2], inputNames: ['A'], cacheHint: `${t}` })),
            (Qd = (t, e, o, i) => {
                let u = e.dims,
                    n = i,
                    s = '';
                for (let r = 0; r < 4; r++) {
                    let a = '';
                    switch (r) {
                        case 0:
                            a = 'outputCoords = rc;';
                            break;
                        case 1:
                            a = 'outputCoords = ivec3(rc.x, rc.y+1, rc.z);';
                            break;
                        case 2:
                            a = 'outputCoords = ivec3(rc.x, rc.y, rc.z+1);';
                            break;
                        case 3:
                            a = 'outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);';
                            break;
                        default:
                            throw new Error();
                    }
                    s += `
        ${a}
        ${r > 0 ? 'if(outputCoords.y < rows && outputCoords.z < cols){' : ''}
          int flattenedIndex = getFlattenedIndex(outputCoords);

          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);
          vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));

          result[${r}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);

        ${r > 0 ? '}' : ''}
      `;
                }
                let d = q(t.session.backend.glContext.version),
                    f = `
      ${eh(u)}
      ${th(n)}
      ${$t()}

      void main() {
        ivec3 rc = getOutputCoords();

        vec4 result = vec4(0.0);

        ivec3 outputCoords;
        int rows = ${n[2]};
        int cols = ${n[1]};

        ${s}
        ${d.output} = result;
      }
    `;
                return { ...o, output: { dims: n, type: e.type, textureType: 2 }, shaderSource: f, hasMain: !0 };
            }),
            (Vu = (t, e, o) => {
                let i = Zd(o);
                return { ...i, get: () => Qd(t, e, i, o) };
            });
    }),
    Ti,
    qu = L(() => {
        xe(),
            ae(),
            (Ti = (t, e) => {
                let o = e.shape,
                    i = q(t.session.backend.glContext.version),
                    u = `
    const float FLOAT_MAX = 1.70141184e38;
    const float FLOAT_MIN = 1.17549435e-38;

    bool isNaN(float val) {
      return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;
    }

    highp vec4 encodeAsUint8(highp float v) {
      if (isNaN(v)) {
        return vec4(255, 255, 255, 255);
      }

      highp float av = abs(v);

      if(av < FLOAT_MIN) {
        return vec4(0.0, 0.0, 0.0, 0.0);
      } else if(v > FLOAT_MAX) {
        return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
      } else if(v < -FLOAT_MAX) {
        return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;
      }

      highp vec4 c = vec4(0,0,0,0);

      highp float e = floor(log2(av));
      highp float m = exp2(fract(log2(av))) - 1.0;

      c[2] = floor(128.0 * m);
      m -= c[2] / 128.0;
      c[1] = floor(32768.0 * m);
      m -= c[1] / 32768.0;
      c[0] = floor(8388608.0 * m);

      highp float ebias = e + 127.0;
      c[3] = floor(ebias / 2.0);
      ebias -= c[3] * 2.0;
      c[2] += floor(ebias) * 128.0;

      c[3] += 128.0 * step(0.0, -v);

      return c / 255.0;
    }

    void main() {
      float value = ${i.texture2D}(X,TexCoords).r;
      ${i.output} = encodeAsUint8(value);
    }`,
                    n = {
                        name: 'Uint8Encode',
                        inputTypes: [0],
                        inputNames: ['X'],
                        output: { dims: o, type: e.tensor.type, textureType: 3 },
                        shaderSource: u,
                        hasMain: !0,
                    };
                return t.executeProgram(n, [e.tensor]);
            });
    });
function nh(t, e) {
    if (t === 1) return 'rc';
    let o = '';
    for (let i = 0; i < t; i++) (o += e[i]), i < t - 1 && (o += ',');
    return o;
}
var ju,
    rh,
    Yu,
    Xu = L(() => {
        xe(),
            ae(),
            Ft(),
            br(),
            (ju = { name: 'unpack', inputNames: ['A'], inputTypes: [2] }),
            (rh = (t, e) => {
                let o = e.dims.length,
                    i = Nr('rc', o),
                    u = i.slice(-2),
                    n = Ke(o),
                    s = $t(),
                    d = e.dims.length === 0 ? '' : nh(o, i),
                    f = o <= 1 ? 'rc' : `vec2(${u.join(',')})`,
                    r = q(t.session.backend.glContext.version),
                    a = `
    ${s}
    void main() {
      ${n} rc = getOutputCoords();

       // Sample the texture with the coords to get the rgba channel value.
       vec4 packedInput = getA(${d});

       ${r.output} = vec4(getChannel(packedInput, ${f}), 0, 0, 0);
     }
   `;
                return { ...ju, hasMain: !0, output: { dims: e.dims, type: e.type, textureType: 0 }, shaderSource: a };
            }),
            (Yu = (t, e) => ({ ...ju, get: () => rh(t, e) }));
    }),
    Jn,
    un,
    Zn,
    ln = L(() => {
        ut(),
            (Jn = class {
                constructor(t, e = 1) {
                    if (e === 1)
                        (this.internalFormat = t.R32F),
                            (this.format = t.RED),
                            (this.textureType = t.FLOAT),
                            (this.channelSize = e);
                    else if (e === 4)
                        (this.internalFormat = t.RGBA32F),
                            (this.format = t.RGBA),
                            (this.textureType = t.FLOAT),
                            (this.channelSize = e);
                    else throw new Error(`Invalid number of channels: ${e}`);
                }
                encode(t, e) {
                    let o, i;
                    return (
                        t.constructor !== Float32Array &&
                            (ce.warning('Encoder', 'data was not of type Float32; creating new Float32Array'),
                            (i = new Float32Array(t))),
                        e * this.channelSize > t.length
                            ? (ce.warning('Encoder', 'Source data too small. Allocating larger array'),
                              (i = t),
                              (o = this.allocate(e * this.channelSize)),
                              i.forEach((u, n) => (o[n] = u)))
                            : ((i = t), (o = i)),
                        o
                    );
                }
                allocate(t) {
                    return new Float32Array(t * 4);
                }
                decode(t, e) {
                    return this.channelSize === 1 ? t.filter((o, i) => i % 4 === 0).subarray(0, e) : t.subarray(0, e);
                }
            }),
            (un = class {
                constructor(t, e = 1, o) {
                    if (e !== 1 && e !== 4) throw new Error(`Invalid number of channels: ${e}`);
                    (this.internalFormat = t.RGBA),
                        (this.format = t.RGBA),
                        (this.channelSize = e),
                        (this.textureType = o || t.FLOAT);
                }
                encode(t, e) {
                    let o = t;
                    return (
                        this.channelSize === 1 &&
                            (ce.verbose('Encoder', 'Exploding into a larger array'),
                            (o = this.allocate(e)),
                            t.forEach((i, u) => (o[u * 4] = i))),
                        o
                    );
                }
                allocate(t) {
                    return new Float32Array(t * 4);
                }
                decode(t, e) {
                    return this.channelSize === 1 ? t.filter((o, i) => i % 4 === 0).subarray(0, e) : t.subarray(0, e);
                }
            }),
            (Zn = class {
                constructor(t, e = 1) {
                    if (((this.channelSize = 4), e === 1))
                        (this.internalFormat = t.ALPHA),
                            (this.format = t.ALPHA),
                            (this.textureType = t.UNSIGNED_BYTE),
                            (this.channelSize = e);
                    else if (e === 4)
                        (this.internalFormat = t.RGBA),
                            (this.format = t.RGBA),
                            (this.textureType = t.UNSIGNED_BYTE),
                            (this.channelSize = e);
                    else throw new Error(`Invalid number of channels: ${e}`);
                }
                encode(t, e) {
                    return new Uint8Array(t.buffer, t.byteOffset, t.byteLength);
                }
                allocate(t) {
                    return new Uint8Array(t * this.channelSize);
                }
                decode(t, e) {
                    if (t instanceof Uint8Array) return t.subarray(0, e);
                    throw new Error(`Invalid array type: ${t.constructor}`);
                }
            });
    }),
    fn,
    Ku,
    xi,
    Ju = L(() => {
        fe(),
            ae(),
            (fn = (t, e, o) => {
                let i = o === 0 || o === 1 ? 1 : 4,
                    u = o === 2,
                    n = o === 1 || o === 2,
                    s = o === 4 ? e.length - 1 : void 0,
                    d = o === 4 ? e.map((f, r) => (r === e.length - 1 ? f * 4 : f)) : void 0;
                return xi(t, e, i, d, { isPacked: u, reverseWH: n, breakAxis: s });
            }),
            (Ku = (t, e, o) => {
                let i = fn(t, e, o);
                return [i.width, i.height];
            }),
            (xi = (t, e, o = 1, i, u) => {
                let n = !!(u && u.isPacked),
                    [s, d] = t.computeTextureWH((n && i) || e, u),
                    f = e.length,
                    r = e.slice(0);
                if ((f === 0 && (r = [1]), o === 1)) i = e;
                else if (n) {
                    if (o !== 4) throw new Error('a packed texture must be 4-channel');
                    (i = e),
                        f > 0 && (r[f - 1] = Math.ceil(r[f - 1] / 2)),
                        f > 1 && (r[f - 2] = Math.ceil(r[f - 2] / 2));
                } else if (!i) throw new Error('Unpacked shape is needed when using channels > 1');
                return {
                    width: s,
                    height: d,
                    channels: o,
                    isPacked: n,
                    shape: r,
                    strides: U.computeStrides(r),
                    unpackedShape: i,
                    reversedWH: u && u.reverseWH,
                };
            });
    }),
    ih,
    Qn,
    Qu = L(() => {
        ut(),
            mr(),
            fe(),
            zu(),
            Hu(),
            qu(),
            Xu(),
            ln(),
            Ju(),
            ae(),
            (ih = (t, e) => {
                let o = e.map((u) => `${u.unpackedShape.join(',')};${u.width}x${u.height}`).join('_'),
                    i = t.name;
                return t.cacheHint && (i += '[' + t.cacheHint + ']'), (i += ':' + o), i;
            }),
            (Qn = class {
                constructor(t) {
                    (this.session = t),
                        (this.packedTextureDataCache = new Map()),
                        (this.unpackedTextureDataCache = new Map());
                }
                calculateTextureWidthAndHeight(t, e) {
                    return Ku(this.session.layoutStrategy, t, e);
                }
                executeProgram(t, e) {
                    if (e.length < t.inputNames.length)
                        throw new Error(`Input size mustn't be less than ${t.inputNames.length}.`);
                    if (t.inputNames.length !== t.inputTypes.length)
                        throw new Error('input names size does not match input types');
                    let o = [];
                    for (let f = 0; f < t.inputNames.length; ++f)
                        o[f] = this.getOrCreateTextureData(e[f], t.inputTypes[f]);
                    let i = ih(t, o),
                        u = this.session.programManager.getArtifact(i),
                        n = u ? u.programInfo : typeof t.get == 'function' ? t.get() : t,
                        s = fn(this.session.layoutStrategy, n.output.dims, n.output.textureType),
                        d = this.createTextureData(s, n.output.type);
                    return (
                        u ||
                            ((u = this.session.programManager.build(n, o, d)),
                            this.session.programManager.setArtifact(i, u)),
                        this.runProgram(u, o, d),
                        d
                    );
                }
                run(t, e) {
                    return this.executeProgram(t, e).tensor;
                }
                runProgram(t, e, o) {
                    for (let i = 0; i < e.length; ++i)
                        if (!!e[i].isPacked != (t.programInfo.inputTypes[i] === 2))
                            throw new Error(`input[${i}] property packed inconsistent`);
                    if (!!o.isPacked != (t.programInfo.output.textureType === 2))
                        throw new Error('output property packed inconsistent');
                    this.session.programManager.run(t, e, o);
                }
                getOrCreateTextureData(t, e) {
                    let o = this.getTextureData(t.dataId, e === 2);
                    if (!o && ((o = this.getTextureData(t.dataId, e !== 2)), o))
                        return e === 2 ? this.pack(o) : this.unpack(o);
                    if (!o) {
                        let i = fn(this.session.layoutStrategy, t.dims, e);
                        if (e === 4) {
                            let u = t.dims;
                            if (u.length === 4) {
                                let n = [u[0], Math.ceil((u[1] * u[2] * u[3]) / 4)],
                                    s = fn(this.session.layoutStrategy, n, e),
                                    d = t.numberData;
                                if ((u[1] * u[2] * u[3]) % 4 !== 0) {
                                    let f = u[0],
                                        r = u[1] * u[2] * u[3],
                                        a = Math.ceil((r * 1) / 4) * 4,
                                        l = f * a;
                                    d = new Float32Array(l);
                                    for (let p = 0; p < f; ++p) {
                                        let m = p * r,
                                            y = p * a + (p % 1) * r;
                                        d.set(t.numberData.subarray(m, m + r), y);
                                    }
                                }
                                return this.createTextureData(s, t.type, d, t, 1);
                            }
                        }
                        if (e === 2) {
                            let u = xi(this.session.layoutStrategy, t.dims, 1, [], { reverseWH: !0 }),
                                n = this.createTextureData(u, t.type, t.numberData, t, 1);
                            o = this.pack(n);
                        } else o = this.createTextureData(i, t.type, t.numberData, t, 1);
                    }
                    return o;
                }
                createTextureDataFromLayoutBindTensor(t, e, o, i) {
                    return this.createTextureData(t, e, o, i, 1);
                }
                createTextureData(t, e, o, i, u) {
                    ce.verbose('InferenceHandler', `Creating TextureData: layout:[${JSON.stringify(t)}]`);
                    let n = this.session.textureManager.createTextureFromLayout(e, t, o, u);
                    return this.createTextureDataFromTexture(t, e, n, i);
                }
                reshapeUnpacked(t, e) {
                    let o = this.getOrCreateTextureData(t, 0),
                        i = {
                            channels: o.channels,
                            height: o.height,
                            width: o.width,
                            shape: e.length !== 0 ? e : [1],
                            strides: U.computeStrides(e),
                            unpackedShape: e,
                        };
                    return this.createTextureDataFromTexture(i, t.type, o.texture).tensor;
                }
                reshapePacked(t, e) {
                    let o = this.getOrCreateTextureData(t, 2);
                    if (Wu(t.dims, e)) {
                        let d = {
                            channels: o.channels,
                            height: o.height,
                            width: o.width,
                            shape: e.length !== 0 ? e : [1],
                            strides: U.computeStrides(e),
                            unpackedShape: e,
                            isPacked: !0,
                        };
                        return this.createTextureDataFromTexture(d, t.type, o.texture).tensor;
                    }
                    let i = yi(t.dims),
                        u = yi(e),
                        n = this.reshapePacked(t, i),
                        s = this.run(Vu(this, n, u), [n]);
                    return this.reshapePacked(s, e);
                }
                cast(t, e) {
                    let o = this.getOrCreateTextureData(t, 0);
                    return this.createTextureDataFromTexture(o, e, o.texture).tensor;
                }
                createTextureDataFromTexture(t, e, o, i, u) {
                    let n = {
                        ...t,
                        tensor:
                            i ||
                            new Fe(
                                t.unpackedShape,
                                e,
                                (s) => this.readTexture(n),
                                async (s) => this.readTextureAsync(n),
                                void 0,
                                u
                            ),
                        texture: o,
                    };
                    return this.setTextureData(n.tensor.dataId, n, t.isPacked), n;
                }
                getTextureData(t, e = !1) {
                    return this.session.isInitializer(t)
                        ? this.session.getTextureData(t, e)
                        : e
                        ? this.packedTextureDataCache.get(t)
                        : this.unpackedTextureDataCache.get(t);
                }
                setTextureData(t, e, o = !1) {
                    this.session.isInitializer(t)
                        ? this.session.setTextureData(t, e, o)
                        : (o ? this.packedTextureDataCache : this.unpackedTextureDataCache).set(t, e);
                }
                isTextureLayoutCached(t, e = !1) {
                    return !!this.getTextureData(t.dataId, e);
                }
                dispose() {
                    this.session.textureManager.clearActiveTextures(),
                        this.packedTextureDataCache.forEach((t) => this.session.textureManager.releaseTexture(t)),
                        (this.packedTextureDataCache = new Map()),
                        this.unpackedTextureDataCache.forEach((t) => this.session.textureManager.releaseTexture(t)),
                        (this.unpackedTextureDataCache = new Map());
                }
                readTexture(t) {
                    return t.isPacked
                        ? this.readTexture(this.unpack(t))
                        : this.session.backend.glContext.isFloat32DownloadSupported
                        ? this.session.textureManager.readTexture(t, t.tensor.type, t.channels)
                        : this.session.textureManager.readUint8TextureAsFloat(Ti(this, t));
                }
                async readTextureAsync(t) {
                    return t.isPacked
                        ? this.readTextureAsync(this.unpack(t))
                        : this.session.backend.glContext.isFloat32DownloadSupported
                        ? this.session.textureManager.readTextureAsync(t, t.tensor.type, t.channels)
                        : this.session.textureManager.readUint8TextureAsFloat(Ti(this, t));
                }
                pack(t) {
                    return this.executeProgram(Uu(this, t.tensor), [t.tensor]);
                }
                unpack(t) {
                    return this.executeProgram(Yu(this, t.tensor), [t.tensor]);
                }
            });
    }),
    vi,
    ee,
    Ge = L(() => {
        (vi = class {
            constructor(t) {
                Object.assign(this, t);
            }
            get cacheKey() {
                return (
                    this.key ||
                        (this.key = Object.getOwnPropertyNames(this)
                            .sort()
                            .map((t) => `${this[t]}`)
                            .join(';')),
                    this.key
                );
            }
        }),
            (ee = (t) => new vi(t));
    }),
    el,
    tl,
    rl,
    ah,
    sh,
    nl = L(() => {
        Ge(),
            xe(),
            ae(),
            (el = {
                name: 'BatchNormalization',
                inputNames: ['A', 'Scale', 'B', 'Mean', 'Variance'],
                inputTypes: [0, 0, 0, 0, 0],
            }),
            (tl = (t, e, o) => (sh(e), [t.run({ ...el, cacheHint: o.cacheKey, get: () => ah(t, e, o) }, e)])),
            (rl = (t) => {
                let e = t.attributes.getFloat('epsilon', 1e-5),
                    o = t.attributes.getFloat('momentum', 0.9),
                    i = t.attributes.getInt('spatial', 1);
                return ee({ epsilon: e, momentum: o, spatial: i });
            }),
            (ah = (t, e, o) => {
                let i = q(t.session.backend.glContext.version),
                    u = e[0].dims.length,
                    [n, s] = t.calculateTextureWidthAndHeight(e[1].dims, 0),
                    d = `
  float process(int[${u}] indices) {
    vec2 position = offsetToCoords(indices[1], ${n}, ${s});
    float scale = getColorAsFloat(${i.texture2D}(Scale, position));
    float mean = getColorAsFloat(${i.texture2D}(Mean, position));
    float variance = getColorAsFloat(${i.texture2D}(Variance, position));
    float b = getColorAsFloat(${i.texture2D}(B, position));

    return scale * ( (_A(indices) - mean) / sqrt(variance + float(${o.epsilon})) ) + b;
  }`;
                return { ...el, output: { dims: e[0].dims, type: e[0].type, textureType: 0 }, shaderSource: d };
            }),
            (sh = (t) => {
                if (!t || t.length !== 5) throw new Error('BatchNormalization requires 5 inputs.');
                let e = t[0],
                    o = t[1],
                    i = t[2],
                    u = t[3],
                    n = t[4];
                if (
                    e.dims.length < 3 ||
                    o.dims.length !== 1 ||
                    i.dims.length !== 1 ||
                    u.dims.length !== 1 ||
                    n.dims.length !== 1
                )
                    throw new Error('invalid input shape.');
                if (
                    o.dims[0] !== e.dims[1] ||
                    i.dims[0] !== e.dims[1] ||
                    u.dims[0] !== e.dims[1] ||
                    n.dims[0] !== e.dims[1]
                )
                    throw new Error('invalid input shape.');
                if (
                    (e.type !== 'float32' && e.type !== 'float64') ||
                    (o.type !== 'float32' && o.type !== 'float64') ||
                    (i.type !== 'float32' && i.type !== 'float64') ||
                    (u.type !== 'float32' && u.type !== 'float64') ||
                    (n.type !== 'float32' && n.type !== 'float64')
                )
                    throw new Error('invalid input tensor types.');
            });
    }),
    eo,
    pt,
    R,
    cn,
    to,
    Vt = L(() => {
        (eo = class {
            constructor(t, e, o, i) {
                (this.glContext = t),
                    (this.programInfo = e),
                    (this.inputTextureLayouts = o),
                    (this.outputTextureLayout = i);
            }
        }),
            (pt = class {
                constructor(t) {
                    this.context = t;
                }
            }),
            (R = class {
                constructor(t, e) {
                    (this.routineBody = t), (this.dependencies = e);
                }
            }),
            (cn = class {
                constructor(t, e, o) {
                    (this.name = t),
                        o ? (this.dependencies = o) : (this.dependencies = []),
                        e && (this.routineBody = e);
                }
                addDependency(t) {
                    t && this.dependencies.push(t);
                }
            }),
            (to = class {
                static returnOrderedNodes(t) {
                    if (!t || t.length === 0) return [];
                    if (t.length === 1) return t;
                    let e = new Set(),
                        o = new Set(),
                        i = new Array();
                    return this.createOrderedNodes(t, e, o, i), i;
                }
                static createOrderedNodes(t, e, o, i) {
                    for (let u = 0; u < t.length; ++u) this.dfsTraverse(t[u], e, o, i);
                }
                static dfsTraverse(t, e, o, i) {
                    if (!t || o.has(t.name)) return;
                    if (e.has(t.name))
                        throw new Error(
                            "Cyclic dependency detected. Can't topologically sort routines needed for shader."
                        );
                    e.add(t.name);
                    let u = t.dependencies;
                    if (u && u.length > 0) for (let n = 0; n < u.length; ++n) this.dfsTraverse(u[n], e, o, i);
                    i.push(t), o.add(t.name), e.delete(t.name);
                }
            });
    });
function lh() {
    let t = 'add_';
    return {
        body: `
  float ${t}(float a, float b) {
    return a + b;
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    return v1 + v2;
  }
  `,
        name: t,
        type: 0,
    };
}
function fh() {
    let t = 'div_';
    return {
        body: `
  float ${t}(float a, float b) {
    return a / b;
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    return v1 / v2;
  }
  `,
        name: t,
        type: 0,
    };
}
function ch() {
    let t = 'mul_';
    return {
        body: `
  float ${t}(float a, float b) {
    return a * b;
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    return v1 * v2;
  }
  `,
        name: t,
        type: 0,
    };
}
function ph() {
    let t = 'sub_';
    return {
        body: `
  float ${t}(float a, float b) {
    return a - b;
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    return v1 - v2;
  }
  `,
        name: t,
        type: 0,
    };
}
function dh() {
    let t = 'equal_';
    return {
        body: `
  float ${t}(float a, float b) {
    return float(a == b);
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    return vec4(equal(v1, v2));
  }
  `,
        name: t,
        type: 0,
    };
}
function hh() {
    let t = 'greater_';
    return {
        body: `
  float ${t}(float a, float b) {
    return float(a > b);
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    return vec4( v1.r > v2.r ,
      v1.g > v2.g,
      v1.b > v2.b,
      v1.a > v2.a );
  }
  `,
        name: t,
        type: 0,
    };
}
function mh() {
    let t = 'less_';
    return {
        body: `
  float ${t}(float a, float b) {
    return float(a < b);
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    return vec4( v1.r < v2.r ,
                v1.g < v2.g,
                v1.b < v2.b,
                v1.a < v2.a );
  }
  `,
        name: t,
        type: 0,
    };
}
function bh() {
    let t = 'and_';
    return {
        body: `
  float ${t}(float a, float b) {
    return float( bool(a) && bool(b) );
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    bvec4 b1 = bvec4(v1);
    bvec4 b2 = bvec4(v2);
    return vec4( b1.r && b2.r ,
                b1.g && b2.g,
                b1.b && b2.b,
                b1.a && b2.a );
  }
  `,
        name: t,
        type: 0,
    };
}
function gh() {
    let t = 'or_';
    return {
        body: `
  float ${t}(float a, float b) {
    return float( bool(a) || bool(b) );
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    bvec4 b1 = bvec4(v1);
    bvec4 b2 = bvec4(v2);
    return vec4( b1.r || b2.r ,
                b1.g || b2.g,
                b1.b || b2.b,
                b1.a || b2.a );
  }
  `,
        name: t,
        type: 0,
    };
}
function yh() {
    let t = 'xor_';
    return {
        body: `
  float ${t}(float a, float b) {
    return float( bool(a) ^^ bool(b) );
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    bvec4 b1 = bvec4(v1);
    bvec4 b2 = bvec4(v2);
    return vec4( b1.r ^^ b2.r ,
                b1.g ^^ b2.g,
                b1.b ^^ b2.b,
                b1.a ^^ b2.a );
  }
  `,
        name: t,
        type: 0,
    };
}
function Th() {
    return vh('pow');
}
function xh() {
    let t = 'prelu_';
    return {
        body: `
  float ${t}(float a, float b) {
    return a < 0.0 ? a * b: a;
  }
  vec4 ${t}(vec4 v1, vec4 v2) {
    return vec4(
      v1.r < 0.0 ? v1.r * v2.r: v1.r,
      v1.g < 0.0 ? v1.g * v2.g: v1.g,
      v1.b < 0.0 ? v1.b * v2.b: v1.b,
      v1.a < 0.0 ? v1.a * v2.a: v1.a
      );
  }
  `,
        name: t,
        type: 0,
    };
}
function vh(t) {
    let e = `${t}_`;
    return {
        body: `
  float ${e}(float a, float b) {
    return ${t}(a, b);
  }
  vec4 ${e}(vec4 v1, vec4 v2) {
    return ${t}(v1, v2);
  }
  `,
        name: e,
        type: 0,
    };
}
var dt,
    wh,
    ol,
    il,
    al,
    sl,
    ul,
    ll,
    fl,
    cl,
    pl,
    dl,
    hl,
    ml,
    bl = L(() => {
        fe(),
            Vt(),
            xe(),
            ae(),
            (dt = (t, e, o, i = e[0].type, u) => {
                let n = t.session.pack ? 2 : 0;
                return {
                    name: o.name,
                    inputNames: ['A', 'B'],
                    inputTypes: [n, n],
                    cacheHint: u,
                    get: () => wh(t, e, o, i),
                };
            }),
            (wh = (t, e, o, i = e[0].type) => {
                let u = t.session.pack ? 2 : 0,
                    n = !U.areEqual(e[0].dims, e[1].dims),
                    s = e[0].dims,
                    d = t.session.pack;
                if (n) {
                    let a = Xe.calcShape(e[0].dims, e[1].dims, !1);
                    if (!a) throw new Error("Can't perform binary op on the given tensors");
                    s = a;
                    let l = s.length,
                        p = e[0].dims.length !== 0 ? e[0].dims.length : 1,
                        m = e[1].dims.length !== 0 ? e[1].dims.length : 1,
                        y = e[0].dims.length !== 0 ? 'bcastIndices_A(indices, aindices);' : 'aindices[0] = 0;',
                        T = e[1].dims.length !== 0 ? 'bcastIndices_B(indices, bindices);' : 'bindices[0] = 0;',
                        v = q(t.session.backend.glContext.version),
                        S = d
                            ? `
      ${o.body}
      void main() {
        vec4 a = getAAtOutCoords();
        vec4 b = getBAtOutCoords();
        vec4 result = ${o.name}(a, b);
        ${v.output} = result;
      }`
                            : `
      ${o.body}
      float process(int indices[${l}]) {
        int aindices[${p}];
        int bindices[${m}];
        ${y}
        ${T}
        return ${o.name}(_A(aindices), _B(bindices));
      }`;
                    return {
                        name: o.name,
                        inputNames: ['A', 'B'],
                        inputTypes: [u, u],
                        output: { dims: s, type: i, textureType: u },
                        shaderSource: S,
                        hasMain: d,
                    };
                }
                let f = q(t.session.backend.glContext.version),
                    r = `
    ${o.body}
    void main() {
      vec4 v1 = ${f.texture2D}(A, TexCoords);
      vec4 v2 = ${f.texture2D}(B, TexCoords);
      vec4 result = ${o.name}(v1, v2);
      ${f.output} = result;
    }
    `;
                return {
                    name: o.name,
                    inputNames: ['A', 'B'],
                    inputTypes: [u, u],
                    output: { dims: e[0].dims, type: i, textureType: u },
                    shaderSource: r,
                    hasMain: !0,
                };
            }),
            (ol = (t, e) => [t.run(dt(t, e, lh()), e)]),
            (il = (t, e) => [t.run(dt(t, e, bh(), 'bool'), e)]),
            (al = (t, e) => [t.run(dt(t, e, fh()), e)]),
            (sl = (t, e) => [t.run(dt(t, e, dh(), 'bool'), e)]),
            (ul = (t, e) => [t.run(dt(t, e, hh(), 'bool'), e)]),
            (ll = (t, e) => [t.run(dt(t, e, mh(), 'bool'), e)]),
            (fl = (t, e) => [t.run(dt(t, e, ch()), e)]),
            (cl = (t, e) => [t.run(dt(t, e, gh(), 'bool'), e)]),
            (pl = (t, e) => [t.run(dt(t, e, Th()), e)]),
            (dl = (t, e) => [t.run(dt(t, e, xh()), e)]),
            (hl = (t, e) => [t.run(dt(t, e, ph()), e)]),
            (ml = (t, e) => [t.run(dt(t, e, yh(), 'bool'), e)]);
    }),
    gl,
    yl,
    Oh,
    Tl = L(() => {
        fe(),
            (gl = (t, e, o) => (Oh(e), [t.cast(e[0], o)])),
            (yl = (t) => Ve.tensorDataTypeFromProto(t.attributes.getInt('to'))),
            (Oh = (t) => {
                if (!t || t.length !== 1) throw new Error('Cast requires 1 input.');
                if (t[0].type === 'string') throw new Error('Invalid input type.');
            });
    }),
    Ih,
    Sh,
    xl,
    ro,
    vl = L(() => {
        xe(),
            ae(),
            Ft(),
            br(),
            (Ih = (t, e) => ({
                name: 'Concat (packed)',
                inputNames: Array.from({ length: t }, (o, i) => `X${i}`),
                inputTypes: Array(t).fill(2),
                cacheHint: e,
            })),
            (Sh = (t, e, o, i) => {
                let u = o[0].dims.slice();
                if (i >= u.length || i < -1 * u.length)
                    throw new Error("axis specified for concat doesn't match input dimensionality");
                i < 0 && (i = u.length + i);
                let n = u.slice(0);
                for (let B = 1; B < o.length; B++) {
                    let J = o[B].dims.slice();
                    for (let Q = 0; Q < u.length; Q++)
                        if (Q === i) n[i] += J[Q];
                        else if (u[Q] !== J[Q]) throw new Error('non concat dimensions must match');
                }
                let s = n.length,
                    d = Nr('coords', s),
                    f = Ke(s),
                    r = $t(),
                    a = o.map((B) => B.dims),
                    l = St(s),
                    p = new Array(a.length - 1);
                p[0] = a[0][i];
                for (let B = 1; B < p.length; B++) p[B] = p[B - 1] + a[B][i];
                let m = l[i],
                    y = l.slice(-2),
                    T = l.join(),
                    v = `if (${m} < ${p[0]}) {
        return getChannel(
            getX0(${T}), vec2(${y.join()}));
        }`;
                for (let B = 1; B < p.length; B++) {
                    let J = p[B - 1];
                    v += `
            if (${m} < ${p[B]}  && ${m} >= ${p[B - 1]}) {
              return getChannel(
                getX${B}(${ro(l, m, J)}),
                vec2(${ro(y, m, J)}));
            }`;
                }
                let S = p.length,
                    E = p[p.length - 1];
                v += `
            return getChannel(
              getX${S}(${ro(l, m, E)}),
              vec2(${ro(y, m, E)}));`;
                let A = q(t.session.backend.glContext.version),
                    F = `
          ${r}
          float getValue(${l.map((B) => 'int ' + B)}) {
            ${v}
          }

          void main() {
            ${f} coords = getOutputCoords();
            int lastDim = coords.${l[s - 1]};
            coords.${l[s - 1]} = coords.${l[s - 2]};
            coords.${l[s - 2]} = lastDim;

            vec4 result = vec4(getValue(${d}), 0., 0., 0.);

            ${d[s - 1]} = ${d[s - 1]} + 1;
            if (${d[s - 1]} < ${n[s - 1]}) {
              result.g = getValue(${d});
            }

            ${d[s - 2]} = ${d[s - 2]} + 1;
            if (${d[s - 2]} < ${n[s - 2]}) {
              result.a = getValue(${d});
            }

            ${d[s - 1]} = ${d[s - 1]} - 1;
            if (${d[s - 2]} < ${n[s - 2]} &&
                ${d[s - 1]} < ${n[s - 1]}) {
              result.b = getValue(${d});
            }
            ${A.output} = result;
          }
        `;
                return { ...e, output: { dims: n, type: o[0].type, textureType: 2 }, shaderSource: F, hasMain: !0 };
            }),
            (xl = (t, e, o) => {
                let i = Ih(e.length, o.cacheKey);
                return { ...i, get: () => Sh(t, i, e, o.axis) };
            }),
            (ro = (t, e, o) => {
                let i = t.indexOf(e);
                return t.map((u, n) => (n === i ? `${u} - ${o}` : u)).join();
            });
    }),
    wl,
    Ah,
    Ph,
    Eh,
    _l,
    Dh,
    Lh,
    Fh,
    Ol,
    $h,
    Il = L(() => {
        Ge(),
            ae(),
            vl(),
            (wl = (t, e, o) => (
                $h(e), t.session.pack && e[0].dims.length > 1 ? [t.run(xl(t, e, o), e)] : [t.run(Eh(t, e, o), e)]
            )),
            (Ah = (t, e) => ({
                name: 'Concat',
                inputNames: Array.from({ length: t }, (o, i) => `X${i}`),
                inputTypes: Array(t).fill(0),
                cacheHint: e,
            })),
            (Ph = (t, e, o, i) => {
                let u = o[0].dims.slice();
                if (i >= u.length || i < -1 * u.length)
                    throw new Error("axis specified for concat doesn't match input dimensionality");
                i < 0 && (i = u.length + i);
                let n = u.slice(0);
                for (let m = 1; m < o.length; m++) {
                    let y = o[m].dims.slice();
                    for (let T = 0; T < u.length; T++)
                        if (T === i) n[i] += y[T];
                        else if (u[T] !== y[T]) throw new Error('non concat dimensions must match');
                }
                let s = n.length,
                    d = new Array(o.length),
                    f = 0;
                for (let m = 0; m < d.length; ++m) (f += o[m].dims[i]), (d[m] = f);
                let r = '';
                o.length < 5 ? (r = _l(d)) : (r = Dh(d));
                let a = Lh(o.length, s),
                    l = Fh(d),
                    p = `
        ${a}
        ${l}
        ${r}
        float process(int indices[${s}]) {
          int textureIndex = getTextureWhereDataResides (indices[${i}]);

          if(textureIndex != 0) {
            indices[${i}] = indices[${i}] - int(getSizeInConcatAxisValueFromIndex(textureIndex-int(1)));
          }

          return fetchDataFromCorrectTexture(textureIndex, indices);
        }`;
                return { ...e, output: { dims: n, type: o[0].type, textureType: 0 }, shaderSource: p };
            }),
            (Eh = (t, e, o) => {
                let i = Ah(e.length, o.cacheKey);
                return { ...i, get: () => Ph(t, i, e, o.axis) };
            }),
            (_l = (t) => `int getTextureWhereDataResides(int index) {
      ${t
          .map(
              (e, o) => `if(index<${e}) {return ${o};}
`
          )
          .join('')}
    }`),
            (Dh = (t) => _l(t)),
            (Lh = (t, e) => {
                let o = [`float fetchDataFromCorrectTexture(int textureIndex, int indices[${e}]) {`];
                for (let i = 0; i < t; ++i)
                    i === 0
                        ? o.push(`	if (textureIndex == ${i}) { return _X${i}(indices); }`)
                        : i === t - 1
                        ? o.push(`	else { return _X${i}(indices); }`)
                        : o.push(`	else if (textureIndex == ${i}) { return _X${i}(indices); }`);
                return (
                    o.push('	}'),
                    o.join(`
`)
                );
            }),
            (Fh = (t) => {
                let e = ['int getSizeInConcatAxisValueFromIndex(int index) {'];
                for (let o = 0; o < t.length; ++o)
                    o === 0
                        ? e.push(`	if (index == ${o}) { return ${t[o]}; }`)
                        : o === t.length - 1
                        ? e.push(`	else { return ${t[o]}; }`)
                        : e.push(`	else if (index == ${o}) { return ${t[o]}; }`);
                return (
                    e.push('	}'),
                    e.join(`
`)
                );
            }),
            (Ol = (t) => ee({ axis: t.attributes.getInt('axis') })),
            ($h = (t) => {
                if (!t || t.length < 1) throw new Error('too few inputs');
                let e = t[0].type,
                    o = t[0].dims.length;
                if (e === 'string') throw new Error('string tensor is not supported yet');
                for (let i of t) {
                    if (i.type !== e) throw new Error('input tensors should be one type');
                    if (i.dims.length !== o) throw new Error('input tensors should have the same shape');
                }
            });
    });
function Ch() {
    return ht('abs');
}
function kh() {
    return ht('acos');
}
function Bh() {
    return ht('asin');
}
function Nh() {
    return ht('atan');
}
function Rh() {
    return ht('ceil');
}
function Mh() {
    return ht('cos');
}
function Gh(t) {
    let e = 'elu';
    return {
        body: `
  const float alpha = float(${t});

  float ${e}_(float a) {
    return a >= 0.0 ? a: (exp(a) - 1.0) * alpha;
  }
  vec4 ${e}_(vec4 v) {
    return vec4(${e}_(v.x), ${e}_(v.y), ${e}_(v.z), ${e}_(v.w));
  }
  `,
        name: e,
        type: 0,
    };
}
function Uh() {
    return ht('exp');
}
function zh() {
    return ht('floor');
}
function wi(t, e) {
    let o = 'clip';
    return {
        body: `
  const float min = float(${t});
  const float max = float(${e});

  float ${o}_(float a) {
    return clamp(a, min, max);
  }
  vec4 ${o}_(vec4 v) {
    return clamp(v, min, max);
  }
  `,
        name: o,
        type: 0,
    };
}
function Vh() {
    let t = 'indentity';
    return {
        body: `
  float ${t}_(float a) {
    return a;
  }
  vec4 ${t}_(vec4 v) {
    return v;
  }
  `,
        name: t,
        type: 0,
    };
}
function Wh(t) {
    let e = 'leakyRelu';
    return {
        body: `
  const float alpha = float(${t});

  float ${e}_(float a) {
    return a < 0.0 ? a * alpha : a;
  }
  vec4 ${e}_(vec4 v) {
    return vec4(${e}_(v.x), ${e}_(v.y), ${e}_(v.z), ${e}_(v.w));
  }
  `,
        name: e,
        type: 0,
    };
}
function Hh() {
    return ht('log');
}
function qh() {
    let t = 'neg';
    return {
        body: `
  float ${t}_(float a) {
    return -a;
  }
  vec4 ${t}_(vec4 v) {
    return -v;
  }
  `,
        name: t,
        type: 0,
    };
}
function jh() {
    let t = 'not';
    return {
        body: `
  float ${t}_(float a) {
    return float( ! bool(a) );
  }
  bool ${t}_(bool a) {
    return !a;
  }
  vec4 ${t}_(vec4 v) {
    return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w));
  }
  bvec4 ${t}_(bvec4 v) {
    return bvec4(!v.x, !v.y, !v.z, !v.w);
  }
  `,
        name: t,
        type: 0,
    };
}
function Yh() {
    return ht('sin');
}
function _i() {
    let t = 'relu';
    return {
        body: `
  float ${t}_(float a) {
    return max( a, 0.0 );
  }
  vec4 ${t}_(vec4 v) {
    return max( v, 0.0 );
  }
  `,
        name: t,
        type: 0,
    };
}
function Oi() {
    let t = 'sigmoid';
    return {
        body: `
  float ${t}_(float a) {
    return 1.0 / (1.0 + exp(-a));
  }
  vec4 ${t}_(vec4 v) {
    return 1.0 / (1.0 + exp(-v));
  }
  `,
        name: t,
        type: 0,
    };
}
function Xh() {
    return ht('sqrt');
}
function Kh() {
    return ht('tan');
}
function Jh() {
    let t = 'tanh';
    return {
        body: `
  float ${t}_(float a) {
    a = clamp(a, -10., 10.);
    a = exp(2.*a);
    return (a - 1.) / (a + 1.);
  }
  vec4 ${t}_(vec4 v) {
    v = clamp(v, -10., 10.);
    v = exp(2.*v);
    return (v - 1.) / (v + 1.);
  }
  `,
        name: t,
        type: 0,
    };
}
function ht(t) {
    return {
        body: `
  float ${t}_(float a) {
    return ${t}(a);
  }
  vec4 ${t}_(vec4 v) {
    return ${t}(v);
  }
  `,
        name: t,
        type: 0,
    };
}
var Zh,
    Pe,
    Sl,
    Al,
    Pl,
    El,
    Ii,
    Dl,
    Ll,
    Qh,
    Fl,
    $l,
    Cl,
    kl,
    Bl,
    Nl,
    Si,
    Rl,
    Ml,
    Gl,
    Ul,
    zl,
    Vl,
    Wl,
    Hl,
    ql,
    jl,
    Yl,
    Ai = L(() => {
        Ge(),
            fe(),
            Vt(),
            xe(),
            ae(),
            (Zh = (t, e, o, i) => {
                let u = t.session.pack ? 2 : 0,
                    n = q(t.session.backend.glContext.version);
                return {
                    ...e,
                    output: { dims: o.dims, type: o.type, textureType: u },
                    shaderSource: `
     ${i.body}
     void main() {
       vec4 v = ${n.texture2D}(A, TexCoords);
       v = ${i.name}_(v);
       ${n.output} = v;
     }
     `,
                    hasMain: !0,
                };
            }),
            (Pe = (t, e, o, i) => {
                let u = t.session.pack ? 2 : 0,
                    n = { name: o.name, inputTypes: [u], inputNames: ['A'], cacheHint: i };
                return { ...n, get: () => Zh(t, n, e, o) };
            }),
            (Sl = (t, e) => [t.run(Pe(t, e[0], Ch()), e)]),
            (Al = (t, e) => [t.run(Pe(t, e[0], kh()), e)]),
            (Pl = (t, e) => [t.run(Pe(t, e[0], Bh()), e)]),
            (El = (t, e) => [t.run(Pe(t, e[0], Nh()), e)]),
            (Ii = (t, e, o) => [t.run(Pe(t, e[0], wi(o.min, o.max), o.cacheKey), e)]),
            (Dl = (t) => ee({ min: t.attributes.getFloat('min', dr), max: t.attributes.getFloat('max', hr) })),
            (Ll = (t, e) => {
                let o = Qh(t, e);
                return Ii(t, [e[0]], o);
            }),
            (Qh = (t, e) => {
                if (e.length >= 3 && (!t.session.isInitializer(e[1].dataId) || !t.session.isInitializer(e[2].dataId)))
                    throw new Error('dynamic clip attributes are not allowed');
                let o = e.length >= 3 ? e[1].numberData[0] : dr,
                    i = e.length >= 3 ? e[2].numberData[0] : hr;
                return ee({ min: o, max: i });
            }),
            (Fl = (t, e) => [t.run(Pe(t, e[0], Rh()), e)]),
            ($l = (t, e) => [t.run(Pe(t, e[0], Mh()), e)]),
            (Cl = (t, e, o) => [t.run(Pe(t, e[0], Gh(o.alpha), o.cacheKey), e)]),
            (kl = (t) => ee({ alpha: t.attributes.getFloat('alpha', 1) })),
            (Bl = (t, e) => [t.run(Pe(t, e[0], Uh()), e)]),
            (Nl = (t, e) => [t.run(Pe(t, e[0], zh()), e)]),
            (Si = (t, e) => [t.run(Pe(t, e[0], Vh()), e)]),
            (Rl = (t, e, o) => [t.run(Pe(t, e[0], Wh(o.alpha), o.cacheKey), e)]),
            (Ml = (t) => ee({ alpha: t.attributes.getFloat('alpha', 0.01) })),
            (Gl = (t, e) => [t.run(Pe(t, e[0], Hh()), e)]),
            (Ul = (t, e) => [t.run(Pe(t, e[0], qh()), e)]),
            (zl = (t, e) => [t.run(Pe(t, e[0], jh()), e)]),
            (Vl = (t, e) => [t.run(Pe(t, e[0], _i()), e)]),
            (Wl = (t, e) => [t.run(Pe(t, e[0], Oi()), e)]),
            (Hl = (t, e) => [t.run(Pe(t, e[0], Yh()), e)]),
            (ql = (t, e) => [t.run(Pe(t, e[0], Xh()), e)]),
            (jl = (t, e) => [t.run(Pe(t, e[0], Kh()), e)]),
            (Yl = (t, e) => [t.run(Pe(t, e[0], Jh()), e)]);
    });
function Ct(t) {
    let e;
    switch (t.activation) {
        case 'Relu':
            e = _i();
            break;
        case 'Sigmoid':
            e = Oi();
            break;
        case 'Clip':
            e = wi(t.clipMin, t.clipMax);
            break;
        default:
            return { activationFunction: '', applyActivation: '' };
    }
    let o = e.name,
        i = e.body,
        u = `value = ${o}_(value);`;
    return { activationFunction: i, applyActivation: u };
}
var Rr,
    gr = L(() => {
        fe(),
            Ai(),
            (Rr = (t) => {
                let e = t.getString('activation', '');
                if (e === 'Clip') {
                    let [o, i] = t.getFloats('activation_params', [dr, hr]);
                    return { activation: e, clipMax: i, clipMin: o, activationCacheKey: `${e}:${o},${i}` };
                }
                return { activation: e, activationCacheKey: e };
            });
    }),
    tm,
    rm,
    Xl,
    Kl = L(() => {
        ut(),
            xe(),
            ae(),
            no(),
            gr(),
            (tm = (t, e) => ({
                name: 'GroupedConv',
                inputNames: t ? ['X', 'W', 'Bias'] : ['X', 'W'],
                inputTypes: t ? [0, 0, 0] : [0, 0],
                cacheHint: e,
            })),
            (rm = (t, e, o, i) => {
                let u = e.length > 2 ? 'value += getBias(output_channel);' : '',
                    n = e[0].dims.slice(),
                    s = e[1].dims.slice(),
                    d = s[0] / i.group;
                ce.verbose(
                    'GroupedConv',
                    `autpPad:${i.autoPad}, dilations:${i.dilations}, group:${i.group}, kernelShape:${i.kernelShape}, pads:${i.pads}, strides:${i.strides}`
                );
                let f = Mr(n, s, i.dilations, i.pads, i.strides),
                    r = q(t.session.backend.glContext.version),
                    { activationFunction: a, applyActivation: l } = Ct(i),
                    p = `
  const ivec2 strides = ivec2(${i.strides[0]}, ${i.strides[1]});
  const ivec2 pads = ivec2(${i.pads[0]}, ${i.pads[1]});
  ${a}
  void main() {
    ivec4 coords = getOutputCoords();
    int batch = coords.x;
    int output_channel = coords.y;
    ivec2 xRCCorner = coords.zw * strides - pads;
    int group_id = output_channel / ${d};

    float value = 0.0;
    for (int wInChannel = 0; wInChannel < ${s[1]}; wInChannel++) {
      int input_channel = group_id * ${s[1]} + wInChannel;
      for (int wHeight = 0; wHeight < ${s[2]}; wHeight++) {
        int xHeight = xRCCorner.x + wHeight * ${i.dilations[0]};

        if (xHeight < 0 || xHeight >= ${n[2]}) {
          continue;
        }

        for (int wWidth = 0; wWidth < ${s[3]}; wWidth++) {
          int xWidth = xRCCorner.y + wWidth * ${i.dilations[1]};
          if (xWidth < 0 || xWidth >= ${n[3]}) {
            continue;
          }

          float xVal = getX(batch, input_channel, xWidth, xHeight);
          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);
          value += xVal*wVal;
        }
      }
    }
    ${u}
    ${l}
    ${r.output} = vec4(value, .0, .0, .0);
  }
`;
                return { ...o, output: { dims: f, type: e[0].type, textureType: 0 }, shaderSource: p, hasMain: !0 };
            }),
            (Xl = (t, e, o) => {
                let i = tm(e.length > 2, o.cacheKey);
                return { ...i, get: () => rm(t, e, i, o) };
            });
    }),
    nm,
    om,
    Jl,
    Zl = L(() => {
        xe(),
            ae(),
            br(),
            (nm = (t) => ({ name: 'Im2Col (packed)', inputNames: ['A'], inputTypes: [2], cacheHint: t })),
            (om = (t, e, o, i, u, n) => {
                let s = o.dims,
                    d = i.dims,
                    f = 2,
                    r = 3,
                    a = u.length,
                    l = [d[1] * d[2] * d[3], u[2] * u[3]],
                    p = d[2] * d[3],
                    m = $t(),
                    y = q(t.session.backend.glContext.version),
                    T = '';
                for (let S = 0; S <= 1; S++)
                    for (let E = 0; E <= 1; E++)
                        T += `
            blockIndex = rc.x + ${E};
            pos = rc.y + ${S};

            if(blockIndex < ${l[1]} && pos < ${l[0]}) {
              offsetY = int(blockIndex / (${u[a - 1]})) * ${n.strides[0]} -
                ${n.pads[0]};
              d0 = offsetY + ${n.dilations[0]} * (imod(pos, ${p}) / ${d[2]});

              if(d0 < ${s[f]} && d0 >= 0) {
                offsetX = imod(blockIndex, ${u[a - 1]}) * ${n.strides[1]} -
                  ${n.pads[1]};
                d1 = offsetX + ${n.dilations[1]} * imod(imod(pos, ${p}), ${d[2]});

                if(d1 < ${s[r]} && d1 >= 0) {

                  ch = int(float(pos)/ ${p}.);
                    innerDims = vec2(d0, d1);
                    result[${S * 2 + E}] = getChannel(
                      getA(0, ch, int(innerDims.x),
                      int(innerDims.y)), innerDims);
                }
              }
            }

          `;
                let v = `
      ${m}

      void main() {
        ivec2 rc = getOutputCoords();
          vec4 result = vec4(0.0);
          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
          vec2 innerDims;
          ${T}
          ${y.output} = result;
      }
            `;
                return { ...e, output: { dims: l, type: o.type, textureType: 2 }, shaderSource: v, hasMain: !0 };
            }),
            (Jl = (t, e, o, i, u) => {
                let n = nm(u.cacheKey);
                return { ...n, get: () => om(t, n, e, o, i, u) };
            });
    });
function am(t, e, o) {
    let i = e[0].dims,
        u = e[1].dims,
        n = Xe.calcShape(i, u, !0);
    if (!n) throw new Error("Can't use matmul on the given tensors");
    let s = Ke(n.length),
        d = St(),
        { activationFunction: f, applyActivation: r } = Ct(o),
        a = e.length > 2,
        l = a ? 'value += getBiasForMatmul();' : '',
        p = a ? `${Ei(s, d, e[2].dims, n, !1)}` : '',
        m = n.length,
        y = i.length,
        T = u.length,
        v = i[i.length - 1],
        S = `
    ${f}
    ${p}
    float process(int indices[${m}]) {
        int a[${y}];
        int b[${T}];
        bcastMatmulIndices_A(indices, a);
        bcastMatmulIndices_B(indices, b);

        float value;
        for (int k=0; k<${v}; ++k) {
            a[${y - 1}] = k;
            b[${T - 2}] = k;
            value += _A(a) * _B(b);
        }
        ${l}
        ${r}
        return value;
    }`;
    return { ...t, output: { dims: n, type: e[0].type, textureType: 0 }, shaderSource: S };
}
function Pi(t, e) {
    let o = im(t.length > 2, e.activationCacheKey);
    return { ...o, get: () => am(o, t, e) };
}
function Ei(t, e, o, i, u) {
    let n = '',
        s = o.length,
        d = i.length,
        f = d - s;
    d < 2 && s > 0 ? (n = 'coords') : (n = o.map((p, m) => `coords.${e[m + f]}`).join(', '));
    let r = Xe.getBroadcastDims(o, i).map((p) => `coords.${e[p + f]} = 0;`).join(`
`),
        a = U.size(o) === 1,
        l = 'vec4(outputValue.xx, outputValue.yy)';
    return (
        a && (l = 'vec4(outputValue.x)'),
        u
            ? `
vec4 getBiasForMatmul() {
  ${t} coords = getOutputCoords();
  ${r}
  vec4 outputValue = getBias(${n});
  return ${l};
}`
            : `
float getBiasForMatmul() {
  ${t} coords = getOutputCoords();
  ${r}
  return getBias(coords.x);
}`
    );
}
var Ql,
    ef,
    im,
    sm,
    oo = L(() => {
        fe(),
            ae(),
            Ft(),
            gr(),
            Di(),
            (Ql = (t, e, o) => (sm(e), t.session.pack ? [t.run(io(t, e, o), e)] : [t.run(Pi(e, o), e)])),
            (ef = (t) => Rr(t.attributes)),
            (im = (t, e) => ({
                name: 'MatMul',
                inputNames: t ? ['A', 'B', 'Bias'] : ['A', 'B'],
                inputTypes: t ? [0, 0, 0] : [0, 0],
                cacheHint: e,
            })),
            (sm = (t) => {
                if (!t || t.length !== 2) throw new Error('MatMul requires 2 inputs.');
                if (t[0].dims[t[0].dims.length - 1] !== t[1].dims[t[1].dims.length - 2])
                    throw new Error('shared dimension does not match.');
                if (
                    (t[0].type !== 'float32' && t[0].type !== 'float64') ||
                    (t[1].type !== 'float32' && t[1].type !== 'float64')
                )
                    throw new Error('inputs should be float type');
                if (t[0].type !== t[1].type) throw new Error('inputs types should match');
            });
    });
function fm(t, e, o, i) {
    let u = [],
        n = [],
        s = o[0].dims,
        d = o[1].dims,
        f = s.length,
        r = d.length,
        a = i.length,
        l = a - f,
        p = a - r;
    (u = s.map((E, A) => `coords.${e[A + l]}`)),
        (u[f - 1] = 'i*2'),
        u.join(', '),
        (n = d.map((E, A) => `coords.${e[A + p]}`)),
        (n[r - 2] = 'i*2'),
        n.join(', ');
    let m = Xe.getBroadcastDims(s, i),
        y = Xe.getBroadcastDims(d, i),
        T = m.map((E) => `coords.${e[E + l]} = 0;`).join(`
`),
        v = y.map((E) => `coords.${e[E + p]} = 0;`).join(`
`),
        S = `int lastDim = coords.${e[a - 1]};
  coords.${e[a - 1]} = coords.${e[a - 2]};
  coords.${e[a - 2]} = lastDim;`;
    return `
vec4 getAAtOutCoordsMatmul(int i) {
  ${t} coords = getOutputCoords();
  ${S}
  ${T}
  vec4 outputValue = getA(${u});
  return outputValue;
}

vec4 getBAtOutCoordsMatmul(int i) {
  ${t} coords = getOutputCoords();
  ${S}
  ${v}
  vec4 outputValue = getB(${n});
  return outputValue;
}`;
}
function cm(t, e) {
    let o = '';
    for (let i = 0; i < e - 2; i++) o += `rc.${t[i]}, `;
    return (o += `rc.${t[e - 2]}, i*2`), o;
}
function pm(t, e) {
    let o = '';
    for (let i = 0; i < e - 2; i++) o += `rc.${t[i]}, `;
    return (o += `i*2, rc.${t[e - 1]}`), o;
}
var um,
    lm,
    io,
    Di = L(() => {
        fe(),
            xe(),
            ae(),
            Ft(),
            gr(),
            oo(),
            (um = (t, e) => ({
                name: 'MatMul (packed)',
                inputNames: t ? ['A', 'B', 'Bias'] : ['A', 'B'],
                inputTypes: t ? [2, 2, 2] : [2, 2],
                cacheHint: e,
            })),
            (lm = (t, e, o, i) => {
                let u = o.length > 2,
                    n = u ? 'value += getBiasForMatmul();' : '',
                    s = o[0].dims,
                    d = o[1].dims,
                    f = Xe.calcShape(s, d, !0),
                    r = !U.areEqual(o[0].dims, o[1].dims);
                if (!f) throw new Error("Can't use matmul on the given tensors");
                let a = s[s.length - 1],
                    l = Math.ceil(a / 2),
                    p = s.length,
                    m = d.length,
                    y = q(t.session.backend.glContext.version),
                    T = Ke(f.length),
                    v = f.length,
                    S = St(),
                    { activationFunction: E, applyActivation: A } = Ct(i),
                    F = u ? `${Ei(T, S, o[2].dims, f, !0)}` : '',
                    B = r ? `${fm(T, S, o, f)}` : '',
                    J = r ? 'getAAtOutCoordsMatmul(i)' : `getA(${cm(S, p)})`,
                    Q = r ? 'getBAtOutCoordsMatmul(i)' : `getB(${pm(S, m)})`,
                    re = r
                        ? ''
                        : `${T} rc =
          getOutputCoords(); int lastDim = rc.${S[v - 1]}; rc.${S[v - 1]} =
          rc.${S[v - 2]}; rc.${S[v - 2]} = lastDim;
      `,
                    V = `
            ${B}
            ${F}
            ${E}
            void main() {
              ${re}

              vec4 value = vec4(0);
              for (int i = 0; i < ${l}; i++) {
                vec4 a = ${J};
                vec4 b = ${Q};

                value += (a.rrbb * b.rgrg);
                value += (a.ggaa * b.baba);
              }
              ${n}
              ${A}
              ${y.output} = value;
            }`;
                return { ...e, output: { dims: f, type: o[0].type, textureType: 2 }, shaderSource: V, hasMain: !0 };
            }),
            (io = (t, e, o) => {
                let i = um(e.length > 2, o.activationCacheKey);
                return { ...i, get: () => lm(t, i, e, o) };
            });
    }),
    tf,
    rf = L(() => {
        no(),
            Zl(),
            Di(),
            (tf = (t, e, o) => {
                let i = e[0].dims,
                    u = e[1].dims,
                    n = Mr(i, u, o.dilations, o.pads, o.strides),
                    s = t.run(Jl(t, e[0], e[1], n, o), [e[0]]),
                    d = t.reshapePacked(e[1], [u[0], u[1] * u[2] * u[3]]),
                    f = e.length === 3 ? [d, s, e[2]] : [d, s],
                    r = t.run(io(t, f, o), f);
                return t.reshapePacked(r, n);
            });
    }),
    dm,
    hm,
    nf,
    Li,
    Fi = L(() => {
        ae(),
            (dm = (t) => ({ name: 'Im2Col', inputNames: ['X'], inputTypes: [0], cacheHint: t })),
            (hm = (t, e, o, i, u, n) => {
                let s = o.dims,
                    d = i.dims,
                    f = u.length,
                    r = Li(s, d, u, 4),
                    a = `
        const int XC = ${s[1]};
        const int XH = ${s[2]};
        const int XW = ${s[3]};
        const int KH = ${n.kernelShape[0]};
        const int KW = ${n.kernelShape[1]};
        const int dilationH = ${n.dilations[0]};
        const int dilationW = ${n.dilations[1]};
        const int strideH = ${n.strides[0]};
        const int strideW = ${n.strides[1]};
        const int padH = ${n.pads[0]};
        const int padW = ${n.pads[1]};
        const int KHKW = KH*KW;
        const int XCKHKW = XC * KHKW;
        const int outputChannels = 4;
        vec4 process(int indices[${f}]) {
          int b  = indices[0]; // batch size
          int oh = indices[1] * strideH - padH; //output height
          int ow = indices[2] * strideW - padW; //output width
          int p = indices[3] * outputChannels; //patch
          vec4 value = vec4(0.0);
          for(int i=0; i < outputChannels; ++i) {
            if(p < XCKHKW) {
              int patchC = p / KHKW;
              int patchH = (p - patchC*KHKW) / KW;
              int patchW = (p - patchC*KHKW) - patchH * KW;
              int xh2 = oh + patchH * dilationH;
              int xw2 = ow + patchW * dilationW;
              int x[${s.length}];
              x[0] = b;
              x[1] = patchC;
              x[2] = xh2;
              x[3] = xw2;
              if(xh2 >= 0 &&
                  xh2 < XH &&
                  xw2 >= 0 &&
                  xw2 < XW) {
                value[i] = _X(x);
              }
            }
            ++p;
          }
          return value;
        }
        `;
                return { ...e, output: { dims: r, type: o.type, textureType: 4 }, shaderSource: a };
            }),
            (nf = (t, e, o, i, u) => {
                let n = dm(u.cacheKey);
                return { ...n, get: () => hm(t, n, e, o, i, u) };
            }),
            (Li = (t, e, o, i = 4) => [o[0], o[2], o[3], Math.ceil((t[1] * e[2] * e[3]) / i)]);
    }),
    mm,
    bm,
    of,
    af = L(() => {
        fe(),
            xe(),
            ae(),
            gr(),
            Fi(),
            (mm = (t, e) => ({
                name: 'ConvDotProduct',
                inputNames: t ? ['Im2Col', 'K', 'B'] : ['Im2Col', 'K'],
                inputTypes: t ? [0, 4, 0] : [0, 4],
                cacheKey: e.activationCacheKey,
            })),
            (bm = (t, e, o, i, u) => {
                let n = o[0].dims,
                    s = o[1].dims,
                    d = [s[0], Math.ceil((n[1] * s[2] * s[3]) / 4)],
                    f = Li(n, s, i),
                    [r, a] = t.calculateTextureWidthAndHeight(d, 4),
                    l = U.computeStrides(f),
                    [p, m] = t.calculateTextureWidthAndHeight(f, 4),
                    y = i.length,
                    T = o.length < 3 ? '0.0' : '_B(b)',
                    v = Math.ceil((n[1] * s[2] * s[3]) / 4),
                    { activationFunction: S, applyActivation: E } = Ct(u),
                    A = q(t.session.backend.glContext.version),
                    F = `
${S}
float process(int indices[${y}]) {
  int b[1];
  b[0] = indices[1];
  int im2col[4];
  im2col[0] = indices[0];
  im2col[1] = indices[2];
  im2col[2] = indices[3];
  int im2colOffset = im2col[0] * ${l[0]} + im2col[1] * ${l[1]} + im2col[2] * ${l[2]};
  int kernelOffset = indices[1] * ${d[1]};
  float value = ${T};
  for (int i = 0; i < ${v}; ++i) {
    vec2 im2colCoords = offsetToCoords(im2colOffset, ${p}, ${m});
    vec2 kernelCoords = offsetToCoords(kernelOffset, ${r}, ${a});
    value += dot(${A.texture2D}(Im2Col, im2colCoords), ${A.texture2D}(K, kernelCoords));
    ++im2colOffset;
    ++kernelOffset;
  }
  ${E}
  return value;
}`;
                return { ...e, output: { dims: i, type: o[0].type, textureType: 0 }, shaderSource: F };
            }),
            (of = (t, e, o, i) => {
                let u = mm(e.length > 2, i);
                return { ...u, get: () => bm(t, u, e, o, i) };
            });
    }),
    Mr,
    $i,
    gm,
    ym,
    Tm,
    xm,
    Ci,
    vm,
    no = L(() => {
        Ge(),
            fe(),
            Kl(),
            rf(),
            af(),
            gr(),
            Fi(),
            oo(),
            (Mr = (t, e, o, i, u) => {
                let n = t[0],
                    s = t.slice(2),
                    d = s.length,
                    f = e[0],
                    r = e.slice(2).map((l, p) => l + (l - 1) * (o[p] - 1)),
                    a = s.map((l, p) => l + i[p] + i[p + d]).map((l, p) => Math.floor((l - r[p] + u[p]) / u[p]));
                return [n, f].concat(...a);
            }),
            ($i = (t, e, o) => (vm(e, o), gm(t, e, o))),
            (gm = (t, e, o) => {
                let i = xm(o, e),
                    u = t.session.pack,
                    n = i.kernelShape[0] === 1 && i.kernelShape[1] === 1;
                return i.group > 1
                    ? [t.run(Xl(t, e, i), e)]
                    : n && u
                    ? [ym(t, e, i)]
                    : u && e[0].dims.length === 4 && e[0].dims[0] === 1 && !n
                    ? [tf(t, e, i)]
                    : [Tm(t, e, i)];
            }),
            (ym = (t, e, o) => {
                let i = e[0].dims,
                    u = e[1].dims,
                    n = Mr(i, u, o.dilations, o.pads, o.strides),
                    s = t.reshapeUnpacked(e[0], [i[1], i[2] * i[3]]),
                    d = t.reshapeUnpacked(e[1], [u[0], u[1]]),
                    f = e.length > 2 ? [d, s, e[2]] : [d, s],
                    r = t.run(Pi(f, o), f);
                return t.reshapeUnpacked(r, n);
            }),
            (Tm = (t, e, o) => {
                let i = e[0].dims,
                    u = e[1].dims,
                    n = Mr(i, u, o.dilations, o.pads, o.strides),
                    s = t.run(nf(t, e[0], e[1], n, o), [e[0]]),
                    d = e.length === 3 ? [s, e[1], e[2]] : [s, e[1]];
                return t.run(of(t, e, n, o), d);
            }),
            (xm = (t, e) => {
                let o = t.kernelShape.slice();
                if (t.kernelShape.length === 0) for (let n = 2; n < e[1].dims.length; ++n) o.push(e[1].dims[n]);
                let i = t.pads.slice();
                pr.adjustPadsBasedOnAutoPad(e[0].dims, t.strides, t.dilations, o, i, t.autoPad);
                let u = Object.assign({}, t);
                return Object.assign(u, { kernelShape: o, pads: i, cacheKey: t.cacheKey }), u;
            }),
            (Ci = (t) => {
                let e = t.attributes,
                    o = Rr(e),
                    i = e.getString('auto_pad', 'NOTSET'),
                    u = e.getInts('dilations', [1, 1]),
                    n = e.getInt('group', 1),
                    s = e.getInts('kernel_shape', []),
                    d = e.getInts('pads', [0, 0, 0, 0]),
                    f = e.getInts('strides', [1, 1]);
                return ee({ autoPad: i, dilations: u, group: n, kernelShape: s, pads: d, strides: f, ...o });
            }),
            (vm = (t, e) => {
                if (!t || (t.length !== 2 && t.length !== 3)) throw new Error('Conv requires 2 or 3 inputs');
                if (t[0].dims.length !== 4 || t[1].dims.length !== 4)
                    throw new Error('currently only support 2-dimensional conv');
                let o = t[0].dims[1],
                    i = t[1].dims[1] * e.group;
                if (o !== i) throw new Error('FILTER_IN_CHANNEL should be equal to DATA_CHANNEL');
                if (t.length === 3 && (t[2].dims.length !== 1 || t[1].dims[0] !== t[2].dims[0]))
                    throw new Error('invalid bias');
                let u = t[0].dims.length - 2;
                if (e.dilations.length !== u) throw new Error(`dilations should be ${u}D`);
                if (e.strides.length !== u) throw new Error(`strides should be ${u}D`);
                if (e.pads.length !== u * 2) throw new Error(`pads should be ${u * 2}D`);
                if (e.kernelShape.length !== 0 && e.kernelShape.length !== t[1].dims.length - 2)
                    throw new Error('invalid kernel shape');
                if (t[0].type !== 'float32' || t[1].type !== 'float32')
                    throw new Error('Conv input(X,W) should be float tensor');
                if (t.length === 3 && t[2].type !== 'float32')
                    throw new Error('Conv input(bias) should be float tensor');
            });
    }),
    wm,
    _m,
    Om,
    sf,
    Im,
    Sm,
    Am,
    Pm,
    Em,
    Dm,
    uf,
    Lm,
    lf = L(() => {
        Ge(),
            xe(),
            ae(),
            gr(),
            (wm = (t, e, o, i, u, n) => (t - 1) * e + o + (i - 1) * u + 1 - n),
            (_m = (t, e, o, i, u) => {
                let n = Math.floor(t / 2);
                e === 'SAME_UPPER' ? ((o[i] = n), (o[u] = t - n)) : e === 'SAME_LOWER' && ((o[i] = t - n), (o[u] = n));
            }),
            (Om = (t, e, o, i, u, n, s, d) => {
                let f = t.length - 2,
                    r = d.length === 0;
                for (let a = 0; a < f; ++a) {
                    let l = r ? t[a + 2] * n[a] : d[a],
                        p = wm(t[a + 2], n[a], u[a], e[a], o[a], l);
                    _m(p, i, u, a, a + f),
                        r && d.push(n[a] * (t[a + 2] - 1) + s[a] + (e[a] - 1) * o[a] + 1 - u[a] - u[a + f]);
                }
            }),
            (sf = (t, e, o) => (Lm(e, o), Im(t, e, o))),
            (Im = (t, e, o) => {
                let i = Dm(o, e);
                return [Em(t, e, i)];
            }),
            (Sm = (t, e) => ({
                name: 'ConvTranspose',
                inputNames: t ? ['X', 'W', 'B'] : ['X', 'W'],
                inputTypes: t ? [0, 0, 0] : [0, 0],
                cacheHint: e,
            })),
            (Am = (t, e, o, i) => {
                let u = e.length > 2 ? 'getB(output_channel)' : '0.0',
                    n = e[0].dims,
                    s = e[1].dims,
                    d = s[1],
                    f = s[0] / i.group,
                    r = [e[0].dims[0], e[1].dims[1] * i.group, ...i.outputShape],
                    a = q(t.session.backend.glContext.version),
                    { activationFunction: l, applyActivation: p } = Ct(i),
                    m = `
  const ivec2 strides = ivec2(${i.strides[0]}, ${i.strides[1]});
  const ivec2 pads = ivec2(${i.pads[0]}, ${i.pads[1]});
  ${l}
  void main() {
    ivec4 coords = getOutputCoords();
    int batch = coords.x;
    int output_channel = coords.y;

    ivec2 loc = coords.zw + pads;

    int group_id = output_channel / ${d};
    int wOutChannel = output_channel - group_id * ${d};

    float value = ${u};
    for (int inChannelOffset = 0; inChannelOffset < ${f}; inChannelOffset++) {
      int input_channel = group_id * ${f} + inChannelOffset;
      for (int wWOff = 0; wWOff < ${s[2]}; wWOff++) {
        for (int wHOff = 0; wHOff < ${s[3]}; wHOff++) {
          ivec2 wOff = ivec2(wWOff * ${i.dilations[0]}, wHOff * ${i.dilations[1]});
          ivec2 wLoc = loc - wOff;
          ivec2 wLocIn = wLoc / strides;
          if (
            wLocIn * strides == wLoc &&
            wLocIn.x >= 0 && wLocIn.x < ${n[2]} &&
            wLocIn.y >= 0 && wLocIn.y < ${n[3]}
          ) {
            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);
            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);
            value += xVal * wVal;
          }
        }
      }
    }
    ${p}
    ${a.output} = vec4(value, .0, .0, .0);
  }
`;
                return { ...o, output: { dims: r, type: e[0].type, textureType: 0 }, shaderSource: m, hasMain: !0 };
            }),
            (Pm = (t, e, o) => {
                let i = Sm(e.length > 2, o.cacheKey);
                return { ...i, get: () => Am(t, e, i, o) };
            }),
            (Em = (t, e, o) => t.run(Pm(t, e, o), e)),
            (Dm = (t, e) => {
                let o = t.kernelShape.slice();
                if (t.kernelShape.length === 0) for (let d = 2; d < e[1].dims.length; ++d) o.push(e[1].dims[d]);
                let i = t.pads.slice(),
                    u = t.outputShape.slice(),
                    n = e[0].dims;
                Om(n, o, t.dilations, t.autoPad, i, t.strides, t.outputPadding, u);
                let s = Object.assign({}, t);
                return Object.assign(s, { kernelShape: o, pads: i, outputShape: u, cacheKey: t.cacheKey }), s;
            }),
            (uf = (t) => {
                let e = t.attributes,
                    o = Rr(e),
                    i = e.getString('auto_pad', 'NOTSET'),
                    u = e.getInts('dilations', [1, 1]),
                    n = e.getInt('group', 1),
                    s = e.getInts('kernel_shape', []),
                    d = e.getInts('output_padding', [0, 0]),
                    f = e.getInts('output_shape', []),
                    r = e.getInts('pads', [0, 0, 0, 0]),
                    a = e.getInts('strides', [1, 1]);
                return ee({
                    autoPad: i,
                    dilations: u,
                    group: n,
                    kernelShape: s,
                    outputPadding: d,
                    outputShape: f,
                    pads: r,
                    strides: a,
                    ...o,
                });
            }),
            (Lm = (t, e) => {
                if (!t || (t.length !== 2 && t.length !== 3)) throw new Error('Conv requires 2 or 3 inputs');
                if (t[0].dims.length !== 4 || t[1].dims.length !== 4)
                    throw new Error('currently only support 2-dimensional conv');
                let o = t[0].dims[1],
                    i = t[1].dims[0];
                if (o !== i) throw new Error('FILTER_IN_CHANNEL should be equal to DATA_CHANNEL');
                let u = t[1].dims[1] * e.group;
                if (t.length === 3 && (t[2].dims.length !== 1 || t[2].dims[0] !== u)) throw new Error('invalid bias');
                let n = t[0].dims.length - 2;
                if (e.dilations.length !== n) throw new Error(`dilations should be ${n}D`);
                if (e.strides.length !== n) throw new Error(`strides should be ${n}D`);
                if (e.pads.length !== n * 2) throw new Error(`pads should be ${n * 2}D`);
                if (e.outputPadding.length !== n) throw new Error(`output_padding should be ${n}D`);
                if (e.kernelShape.length !== 0 && e.kernelShape.length !== t[1].dims.length - 2)
                    throw new Error('invalid kernel shape');
                if (e.outputShape.length !== 0 && e.outputShape.length !== t[0].dims.length - 2)
                    throw new Error('invalid output shape');
                if (t[0].type !== 'float32' || t[1].type !== 'float32')
                    throw new Error('ConvTranspose input(X,W) should be float tensor');
                if (t.length === 3 && t[2].type !== 'float32')
                    throw new Error('ConvTranspose input(bias) should be float tensor');
            });
    }),
    ff,
    yr,
    cf,
    Fm,
    pf,
    $m,
    Cm,
    km,
    ao = L(() => {
        Ge(),
            fe(),
            ae(),
            (ff = { name: 'Transpose', inputNames: ['A'], inputTypes: [0] }),
            (yr = (t, e, o) => (km(e), [t.run({ ...ff, cacheHint: o.cacheKey, get: () => Fm(t, e[0], o.perm) }, e)])),
            (cf = (t) => ee({ perm: t.attributes.getInts('perm', []) })),
            (Fm = (t, e, o) => {
                let i = e.dims;
                o = pf(i, o);
                let u = $m(i, o),
                    n = i.length,
                    s = `
      ${Cm('perm', o, n)}
      float process(int indices[${n}]) {
        int a[${n}];
        perm(a, indices);
        return _A(a);
      }`;
                return { ...ff, output: { dims: u, type: e.type, textureType: 0 }, shaderSource: s };
            }),
            (pf = (t, e) => (e && e.length !== t.length && (e = [...t.keys()].reverse()), e)),
            ($m = (t, e) => ((e = pf(t, e)), U.sortBasedOnPerm(t, e))),
            (Cm = (t, e, o) => {
                let i = [];
                i.push(`void ${t}(out int a[${o}], int src[${o}]) {`);
                for (let u = 0; u < o; ++u) i.push(`	a[${e[u]}]=src[${u}];`);
                return (
                    i.push('	}'),
                    i.join(`
`)
                );
            }),
            (km = (t) => {
                if (!t || t.length !== 1) throw new Error('Transpose requires 1 input.');
                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('input should be float tensor');
            });
    }),
    df,
    hf,
    Bm,
    mf = L(() => {
        ao(),
            (df = (t, e, o) => {
                Bm(e);
                let i = o.blocksize,
                    u = i * i,
                    n = o.mode === 'DCR' ? [0, 3, 4, 1, 5, 2] : [0, 1, 4, 2, 5, 3],
                    s =
                        o.mode === 'DCR'
                            ? [e[0].dims[0], i, i, e[0].dims[1] / u, e[0].dims[2], e[0].dims[3]]
                            : [e[0].dims[0], e[0].dims[1] / u, i, i, e[0].dims[2], e[0].dims[3]],
                    d = t.reshapeUnpacked(e[0], s),
                    f = { perm: n, cacheKey: `${n}` },
                    [r] = yr(t, [d], f),
                    a = [e[0].dims[0], e[0].dims[1] / u, e[0].dims[2] * i, e[0].dims[3] * i];
                return [t.reshapeUnpacked(r, a)];
            }),
            (hf = (t) => {
                let e = t.attributes.getInt('blocksize');
                if (e < 1) throw new Error(`blocksize must be >= 1, but got : ${e} for DepthToSpace`);
                let o = t.attributes.getString('mode', 'DCR');
                if (o !== 'DCR' && o !== 'CRD') throw new Error(`unrecognized mode: ${o} for DepthToSpace`);
                return { mode: o, blocksize: e };
            }),
            (Bm = (t) => {
                if (t.length !== 1) throw new Error(`DepthToSpace expect 1 inputs, but got ${t.length}`);
                if (t[0].type === 'string' || t[0].dims.length !== 4)
                    throw new TypeError('DepthToSpace input should be a 4-D numeric tensor');
            });
    }),
    bf,
    gf,
    Nm,
    yf = L(() => {
        fe(),
            (bf = (t, e, o) => {
                Nm(e, o);
                let i = U.flattenShape(e[0].dims, o);
                return [t.reshapeUnpacked(e[0], i)];
            }),
            (gf = (t) => t.attributes.getInt('axis', 1)),
            (Nm = (t, e) => {
                if (!t || t.length !== 1) throw new Error('Flatten requires 1 input.');
                let o = t[0].dims.length;
                if (o === 0) throw new Error('scalar tensor is not supported.');
                if (e < -o || e > o) throw new Error('Invalid axis');
                if (t[0].type === 'string') throw new Error('string tensor is not supported.');
            });
    }),
    Jt,
    pn = L(() => {
        Jt = ['float32', 'float64', 'int32', 'int16', 'int8', 'uint16', 'uint32', 'uint8'];
    }),
    Tf,
    xf,
    Rm,
    Mm,
    Gm,
    Um,
    vf = L(() => {
        Ge(),
            pn(),
            fe(),
            ae(),
            (Tf = (t, e, o) => (Um(e, o.axis), [t.run(Gm(t, e, o), e)])),
            (xf = (t) => ee({ axis: t.attributes.getInt('axis', 0) })),
            (Rm = { name: 'Gather', inputNames: ['A', 'B'], inputTypes: [0, 0] }),
            (Mm = (t, e, o, i) => {
                let u = o[0].dims.slice(),
                    n = o[1].dims.slice(),
                    s = new Array(u.length + n.length - 1);
                i = U.normalizeAxis(i, u.length);
                let d = [];
                for (let p = 0; p < s.length; p++)
                    p < i
                        ? ((s[p] = u[p]), d.push(`inputIdx[${p}] = outputIdx[${p}];`))
                        : p < i + n.length
                        ? ((s[p] = n[p - i]), d.push(`indexDataIdx[${p - i}] = outputIdx[${p}];`))
                        : ((s[p] = u[p - n.length + 1]), d.push(`inputIdx[${p - n.length + 1}] = outputIdx[${p}];`));
                let f = s.length || 1,
                    r = u.length,
                    a = n.length || 1,
                    l = `
      float process(int outputIdx[${f}]) {
        int inputIdx[${r}];
        int indexDataIdx[${a}];
        indexDataIdx[0] = 0;
        ${d.join(`
        `)}
        int idx = int(_B(indexDataIdx));
        inputIdx[${i}] = idx < 0 ? idx + ${u[i]} : idx;
        return _A(inputIdx);
      }`;
                return { ...e, output: { dims: s, type: o[0].type, textureType: 0 }, shaderSource: l };
            }),
            (Gm = (t, e, o) => {
                let i = { ...Rm, cacheHint: o.cacheKey };
                return { ...i, get: () => Mm(t, i, e, o.axis) };
            }),
            (Um = (t, e) => {
                if (!t || t.length !== 2) throw new Error('Gather requires 2 inputs.');
                let o = t[0].dims.length;
                if (o < 1) throw new Error('Invalid input shape.');
                if (e < -o || e > o - 1) throw new Error('Invalid axis.');
                if (Jt.indexOf(t[0].type) === -1) throw new Error('Invaid input type.');
                if (t[1].type !== 'int32' && t[1].type !== 'int16') throw new Error('Invaid input type.');
            });
    }),
    ki,
    wf,
    _f,
    Of,
    zm,
    Vm,
    Wm,
    If = L(() => {
        Ge(),
            fe(),
            ae(),
            (ki = (t, e, o) => (Wm(e, o), [t.run(zm(e, o), e)])),
            (wf = (t, e) => {
                let o = t.attributes.getInt('transA', 0) !== 0,
                    i = t.attributes.getInt('transB', 0) !== 0,
                    u = t.attributes.getFloat('alpha', 1),
                    n = t.attributes.getFloat('beta', 1);
                return ee({ transA: o, transB: i, alpha: u, beta: n, isOptionalC: e });
            }),
            (_f = (t) => wf(t, !1)),
            (Of = (t) => wf(t, !0)),
            (zm = (t, e) => {
                let o = {
                    name: 'Gemm',
                    inputNames: t.length === 3 ? ['A', 'B', 'C'] : ['A', 'B'],
                    inputTypes: t.length === 3 ? [0, 0, 0] : [0, 0],
                    key: e.cacheKey,
                };
                return { ...o, get: () => Vm(o, t, e) };
            }),
            (Vm = (t, e, o) => {
                let i = e[0].dims.slice(),
                    u = e[1].dims.slice(),
                    [n, s] = Xn.getShapeOfGemmResult(i, o.transA, u, o.transB, e.length === 3 ? e[2].dims : void 0),
                    d = [n, s];
                if (!d) throw new Error("Can't use gemm on the given tensors");
                let f = i[i.length - 1],
                    r = '';
                o.transA && (f = i[0]),
                    o.transA && o.transB
                        ? (r = 'value += _A_T(a) * _B_T(b);')
                        : o.transA && !o.transB
                        ? (r = 'value += _A_T(a) * _B(b);')
                        : !o.transA && o.transB
                        ? (r = 'value += _A(a) * _B_T(b);')
                        : !o.transA && !o.transB && (r = 'value += _A(a) * _B(b);');
                let a = d.length,
                    l = e.length === 3 ? `int c[${e[2].dims.length}];` : '',
                    p = e.length === 3 ? 'bcastIndices_C(indices, c);' : '',
                    m = e.length === 3 ? 'value += beta * _C(c);' : '',
                    y = `
      float process(int indices[${a}]) {
          int a[${a}];
          int b[${a}];
          ${l}

          copyVec(indices, a);
          copyVec(indices, b);
          ${p}

          float value = 0.0;
          for (int k=0; k<${f}; ++k) {
              a[${a - 1}] = k;
              b[${a - 2}] = k;
              ${r}
          }

          value = value * alpha;
          ${m}
          return value;
      }`;
                return {
                    ...t,
                    output: { dims: d, type: e[0].type, textureType: 0 },
                    variables: [
                        { name: 'alpha', type: 'float', data: o.alpha },
                        { name: 'beta', type: 'float', data: o.beta },
                    ],
                    shaderSource: y,
                };
            }),
            (Wm = (t, e) => {
                if (!t) throw new Error('Input is missing');
                if (e.isOptionalC && (t.length < 2 || t.length > 3)) throw new Error('Invaid input shape.');
                if (!e.isOptionalC && t.length !== 3) throw new Error('Gemm requires 3 inputs');
                if (t.length === 3 && t[2].dims.length !== 1 && t[2].dims.length !== 2)
                    throw new Error('Invalid input shape of C');
                if (
                    (t[0].type !== 'float32' && t[0].type !== 'float64') ||
                    (t[1].type !== 'float32' && t[1].type !== 'float64') ||
                    (t.length === 3 && t[2].type !== 'float32' && t[2].type !== 'float64')
                )
                    throw new Error('Invalid input type.');
                if (t[0].type !== t[1].type || (t.length === 3 && t[0].type !== t[2].type))
                    throw new Error('Input types are mismatched');
            });
    }),
    Sf,
    Af,
    Hm,
    qm,
    jm,
    Ym,
    Xm,
    Pf = L(() => {
        Ge(),
            ae(),
            (Sf = (t, e, o) => (Xm(e), [t.run(jm(t, e, o), e)])),
            (Af = (t) => {
                let e = t.attributes.getFloat('scale'),
                    o = t.attributes.getFloats('bias');
                return ee({ scale: e, bias: o });
            }),
            (Hm = { name: 'ImageScaler', inputNames: ['X'], inputTypes: [0] }),
            (qm = (t, e, o, i) => {
                let u = o[0].dims.slice(),
                    n = u.length,
                    s = `
      ${Ym(i.bias.length)}
      float process(int indices[${n}]) {
        return _X(indices) * scale + getBias(bias, indices[1]);
      }`;
                return {
                    ...e,
                    output: { dims: u, type: o[0].type, textureType: 0 },
                    variables: [
                        { name: 'bias', type: 'float', arrayLength: i.bias.length, data: i.bias },
                        { name: 'scale', type: 'float', data: i.scale },
                    ],
                    shaderSource: s,
                };
            }),
            (jm = (t, e, o) => {
                let i = { ...Hm, cacheHint: o.cacheKey };
                return { ...i, get: () => qm(t, i, e, o) };
            }),
            (Ym = (t) => {
                let e = [`float getBias(float bias[${t}], int channel) {`];
                for (let o = 0; o < t; ++o)
                    o === 0
                        ? e.push(`	if (channel == ${o}) { return bias[${o}]; }`)
                        : o === t - 1
                        ? e.push(`	else { return bias[${o}]; }`)
                        : e.push(`	else if (channel == ${o}) { return bias[${o}]; }`);
                return (
                    e.push('	}'),
                    e.join(`
`)
                );
            }),
            (Xm = (t) => {
                if (!t || t.length !== 1) throw new Error('ImageScaler requires 1 input.');
                if (t[0].dims.length !== 4) throw new Error('Invalid input shape.');
                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('Invalid input type.');
            });
    }),
    Df,
    Lf,
    Ef,
    Km,
    Jm,
    Zm,
    Qm,
    eb,
    tb,
    Ff = L(() => {
        xe(),
            ae(),
            (Df = (t, e, o) => {
                tb(e);
                let i = t.run(Jm(e[0]), e);
                return [t.run(eb(t, e[0], o, i.dims), [e[0], i, e[1], e[2]])];
            }),
            (Lf = (t) => t.attributes.getFloat('epsilon', 1e-5)),
            (Ef = { name: 'InstanceNormalization_MeanAndVariance', inputNames: ['X'], inputTypes: [0] }),
            (Km = (t, e) => {
                let o = e.dims.slice(),
                    i = o[1],
                    u = o[2] * o[3],
                    n = [o[0], i],
                    s = `
      vec4 process(int[2] indices) {
        vec4 v = vec4(0.0);
        int a[4];
        a[0] = indices[0];
        a[1] = indices[1];
        float temp = 0.0;
        for(int a2=0; a2<${o[2]}; a2++) {
          a[2] = a2;
          for(int a3=0; a3<${o[3]}; a3++) {
            a[3] = a3;
            float x = _X(a);
            temp += x;
          }
        }
        float mean = temp / float(${u});
        temp = 0.0;
        for(int a2=0; a2<${o[2]}; a2++) {
          a[2] = a2;
          for(int a3=0; a3<${o[3]}; a3++) {
            a[3] = a3;
            float x = _X(a);
            temp += (x - mean) * (x - mean);
          }
        }
        v.r = mean;
        v.g = temp / float(${u});

        return v;
      }`;
                return { ...t, output: { dims: n, type: e.type, textureType: 4 }, shaderSource: s };
            }),
            (Jm = (t) => ({ ...Ef, get: () => Km(Ef, t) })),
            (Zm = {
                name: 'InstanceNormalization_ComputeOutput',
                inputNames: ['X', 'MeanAndVariance', 'Scale', 'B'],
                inputTypes: [0, 4, 0, 0],
            }),
            (Qm = (t, e, o, i, u) => {
                let n = q(t.session.backend.glContext.version),
                    [s, d] = t.calculateTextureWidthAndHeight(u, 4),
                    [f, r] = [s / 4, d],
                    a = `
      vec4 get_MeanAndVariance(int[2] mv) {
        int offset = indicesToOffset_MeanAndVariance(mv);
        vec2 coords = offsetToCoords(offset, ${f}, ${r});
        return ${n.texture2D}(MeanAndVariance, coords);
      }

      float process(int[4] indices) {
        int mv[2];
        mv[0] = indices[0];
        mv[1] = indices[1];
        vec4 mean_and_variance = get_MeanAndVariance(mv);
        float mean = mean_and_variance.r;
        float variance = mean_and_variance.g;

        int sb[1];
        sb[0] = indices[1];
        float scale = _Scale(sb);
        float b = _B(sb);

        return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b;
      }`;
                return {
                    ...e,
                    output: { dims: o.dims, type: o.type, textureType: 0 },
                    variables: [{ name: 'epsilon', type: 'float', data: i }],
                    shaderSource: a,
                };
            }),
            (eb = (t, e, o, i) => {
                let u = { ...Zm, cacheHint: `${o}` };
                return { ...u, get: () => Qm(t, u, e, o, i) };
            }),
            (tb = (t) => {
                if (!t || t.length !== 3) throw new Error('InstanceNormalization requires 3 inputs.');
                let e = t[0],
                    o = t[1],
                    i = t[2];
                if (e.dims.length < 3 || o.dims.length !== 1 || i.dims.length !== 1)
                    throw new Error('Invalid input shape.');
                if (o.dims[0] !== e.dims[1] || i.dims[0] !== e.dims[1]) throw new Error('Input shapes are mismatched.');
                if (
                    (e.type !== 'float32' && e.type !== 'float64') ||
                    (o.type !== 'float32' && o.type !== 'float64') ||
                    (i.type !== 'float32' && i.type !== 'float64')
                )
                    throw new Error('Invalid input type.');
                if (t[0].dims.length !== 4) throw new Error('Only support 4-D input shape.');
            });
    });
function rb(t, e) {
    let o = t[0].dims[1],
        i = t[0].dims.length,
        u = -Math.floor((e.size - 1) / 2),
        n = Math.ceil((e.size - 1) / 2),
        s = `float(${e.alpha}) / float(${e.size})`,
        d = `float(${e.bias})`,
        f = `float(${e.beta})`,
        r = `
    float process(int indices[${i}]) {
        int c = indices[1];
        float x = _X(indices);
        float square_sum = 0.0;

        for (int i = ${u}; i <= ${n}; i++) {
          int idx = c + i;
          if (c >= 0 && c < ${o}) {
            indices[1] = idx;
            float j = _X(indices);
            square_sum += j * j;
          }
        }
        return x / pow(${d} + ${s} * square_sum, ${f});
    }`;
    return {
        ...kf,
        cacheHint: e.cacheKey,
        output: { dims: t[0].dims, type: t[0].type, textureType: 0 },
        shaderSource: r,
    };
}
function nb(t, e) {
    return { ...kf, cacheHint: e.cacheKey, get: () => rb(t, e) };
}
var $f,
    Cf,
    kf,
    ob,
    Bf = L(() => {
        Ge(),
            ae(),
            ($f = (t, e, o) => (ob(e), [t.run(nb(e, o), e)])),
            (Cf = (t) => {
                let e = t.attributes.getFloat('alpha', 1e-4),
                    o = t.attributes.getFloat('beta', 0.75),
                    i = t.attributes.getFloat('bias', 1),
                    u = t.attributes.getInt('size');
                return ee({ alpha: e, beta: o, bias: i, size: u });
            }),
            (kf = { name: 'LRN', inputNames: ['X'], inputTypes: [0] }),
            (ob = (t) => {
                if (!t || t.length !== 1) throw new Error('LRN requires 1 input.');
                if (t[0].dims.length !== 4) throw new Error('currently only support LRN for input with "NCHW" format');
                if (t[0].type !== 'float32') throw new Error('input should be float type');
            });
    }),
    ib,
    Bi,
    Nf,
    Rf,
    Mf,
    ab,
    sb,
    ub,
    lb,
    fb,
    cb,
    pb,
    db,
    Gf = L(() => {
        Ge(),
            fe(),
            xe(),
            ae(),
            (ib = { name: 'Pad', inputNames: ['A'], inputTypes: [0] }),
            (Bi = (t, e, o) => (ub(e), [t.run({ ...ib, cacheHint: o.cacheKey, get: () => sb(t, e[0], o) }, e)])),
            (Nf = (t) => {
                let e = t.attributes.getString('mode', 'constant'),
                    o = t.attributes.getFloat('value', 0),
                    i = t.attributes.getInts('pads');
                return ee({ mode: e, value: o, pads: i });
            }),
            (Rf = (t, e, o) => {
                lb(e);
                let i = ab(t, e, o);
                return Bi(t, [e[0]], i);
            }),
            (Mf = (t) => t.attributes.getString('mode', 'constant')),
            (ab = (t, e, o) => {
                if (!t.session.isInitializer(e[1].dataId) || (e.length >= 3 && !t.session.isInitializer(e[2].dataId)))
                    throw new Error('dynamic pad attributes are not allowed');
                let i = Array.from(e[1].integerData),
                    u = e.length >= 3 ? e[2].floatData[0] : 0;
                return ee({ mode: o, pads: i, value: u });
            }),
            (sb = (t, e, o) => {
                let i = U.padShape(e.dims.slice(), o.pads),
                    u = i.length,
                    n = `
      ${fb(t, e, o)}
      float process(int[${u}] indices) {
          return padA(indices);
      }`;
                return {
                    name: 'Pad',
                    inputNames: ['A'],
                    inputTypes: [0],
                    output: { dims: i, type: e.type, textureType: 0 },
                    shaderSource: n,
                };
            }),
            (ub = (t) => {
                if (!t || t.length !== 1) throw new Error('Pad requires 1 input');
                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('Invalid input type.');
            }),
            (lb = (t) => {
                if (!t || (t.length !== 2 && t.length !== 3)) throw new Error('Pad requires 2 or 3 inputs');
                if (t[1].type !== 'int32') throw new Error('Invalid input type.');
                if (t.length >= 3 && t[2].type === 'string') throw new Error('Invalid input type.');
            }),
            (fb = (t, e, o) => {
                let i = q(t.session.backend.glContext.version),
                    [u, n] = t.calculateTextureWidthAndHeight(e.dims, 0),
                    s = U.computeStrides(e.dims);
                switch (o.mode) {
                    case 'constant':
                        return cb(i, e.dims, s, u, n, o.pads, o.value);
                    case 'reflect':
                        return pb(i, e.dims, s, u, n, o.pads);
                    case 'edge':
                        return db(i, e.dims, s, u, n, o.pads);
                    default:
                        throw new Error('Invalid mode');
                }
            }),
            (cb = (t, e, o, i, u, n, s) => {
                let d = e.length,
                    f = '';
                for (let r = d - 1; r >= 0; --r)
                    f += `
        k = m[${r}] - ${n[r]};
        if (k < 0)  return constant;
        if (k >= ${e[r]}) return constant;
        offset += k * ${o[r]};
        `;
                return `
      float padA(int m[${d}]) {
        const float constant = float(${s});
        int offset = 0;
        int k = 0;
        ${f}
        vec2 coords = offsetToCoords(offset, ${i}, ${u});
        float value = getColorAsFloat(${t.texture2D}(A, coords));
        return value;
      }
      `;
            }),
            (pb = (t, e, o, i, u, n) => {
                let s = e.length,
                    d = '';
                for (let f = s - 1; f >= 0; --f)
                    d += `
        k = m[${f}] - ${n[f]};
        if (k < 0) { k = -k; }
        {
          const int _2n_1 = ${2 * (e[f] - 1)};
          k = int( mod( float(k), float(_2n_1) ) ) ;
          if(k >= ${e[f]}) { k = _2n_1 - k; }
        }
        offset += k * ${o[f]};
        `;
                return `
      float padA(int m[${s}]) {
        int offset = 0;
        int k = 0;
        ${d}
        vec2 coords = offsetToCoords(offset, ${i}, ${u});
        float value = getColorAsFloat(${t.texture2D}(A, coords));
        return value;
      }
      `;
            }),
            (db = (t, e, o, i, u, n) => {
                let s = e.length,
                    d = '';
                for (let f = s - 1; f >= 0; --f)
                    d += `
        k = m[${f}] - ${n[f]};
        if (k < 0)  k = 0;
        if (k >= ${e[f]}) k = ${e[f] - 1};
        offset += k * ${o[f]};
      `;
                return `
      float padA(int m[${s}]) {
        int offset = 0;
        int k = 0;
        ${d}
        vec2 coords = offsetToCoords(offset, ${i}, ${u});
        float value = getColorAsFloat(${t.texture2D}(A, coords));
        return value;
      }
      `;
            });
    }),
    zf,
    Vf,
    Wf,
    Hf,
    qf,
    jf,
    Yf,
    Xf,
    Kf,
    hb,
    Uf,
    Jf,
    uo,
    Zf,
    so,
    mb,
    Qf = L(() => {
        Ge(),
            fe(),
            ae(),
            (zf = (t, e, o) => {
                uo(e);
                let i = { name: 'AveragePool', inputNames: ['X'], inputTypes: [0], cacheHint: o.cacheKey };
                return [t.run({ ...i, get: () => Wf(e, i, !1, o) }, e)];
            }),
            (Vf = (t) => {
                let e = t.attributes.getString('auto_pad', 'NOTSET'),
                    o = t.attributes.getInt('ceil_mode', 0),
                    i = t.attributes.getInt('count_include_pad', 0) !== 0,
                    u = t.attributes.getInts('kernel_shape'),
                    n = t.attributes.getInts('strides', []),
                    s = t.attributes.getInts('pads', []);
                if (o !== 0) throw new Error('using ceil() in shape computation is not yet supported for AveragePool');
                return ee({ autoPad: e, ceilMode: o, countIncludePad: i, kernelShape: u, strides: n, pads: s });
            }),
            (Wf = (t, e, o, i) => {
                let [u, n] = Kf(t, i, o),
                    s = U.size(u.kernelShape),
                    d = 'value += _X(x);',
                    f = '';
                u.countIncludePad ? (f += `value /= float(${s});`) : (f += `value /= float(${s} - pad);`);
                let r = `
        ${Zf(t[0].dims, u, d, f, '0.0')}
      `;
                return { ...e, output: { dims: n, type: t[0].type, textureType: 0 }, shaderSource: r };
            }),
            (Hf = (t, e, o) => {
                uo(e);
                let i = {
                    name: 'GlobalAveragePool',
                    inputNames: ['X'],
                    inputTypes: [0],
                    cacheHint: `${o.countIncludePad}`,
                };
                return [t.run({ ...i, get: () => Wf(e, i, !0, o) }, e)];
            }),
            (qf = (t) => {
                let e = t.attributes.getInt('count_include_pad', 0) !== 0;
                return ee({ autoPad: '', ceilMode: 0, countIncludePad: e, kernelShape: [], strides: [], pads: [] });
            }),
            (jf = (t, e, o) => {
                uo(e);
                let i = { name: 'MaxPool', inputNames: ['X'], inputTypes: [0], cacheHint: o.cacheKey };
                return [t.run({ ...i, get: () => Xf(e, i, !1, o) }, e)];
            }),
            (Yf = (t) => {
                let e = t.attributes.getString('auto_pad', 'NOTSET'),
                    o = t.attributes.getInt('ceil_mode', 0),
                    i = t.attributes.getInts('kernel_shape'),
                    u = t.attributes.getInts('strides', []),
                    n = t.attributes.getInts('pads', []),
                    s = t.attributes.getInt('storage_order', 0),
                    d = t.attributes.getInts('dilations', []);
                if (s !== 0) throw new Error('column major storage order is not yet supported for MaxPool');
                if (o !== 0) throw new Error('using ceil() in shape computation is not yet supported for MaxPool');
                return ee({
                    autoPad: e,
                    ceilMode: o,
                    countIncludePad: !1,
                    kernelShape: i,
                    strides: u,
                    pads: n,
                    storageOrder: s,
                    dilations: d,
                });
            }),
            (Xf = (t, e, o, i) => {
                let [u, n] = Kf(t, i, o),
                    s = `
      value = max(_X(x), value);
    `,
                    d = '',
                    f = `
      ${Zf(t[0].dims, u, s, d, '-1e5')}
    `;
                return { ...e, output: { dims: n, type: t[0].type, textureType: 0 }, shaderSource: f };
            }),
            (Kf = (t, e, o) => {
                let i = t[0].dims.slice(),
                    u = Object.hasOwnProperty.call(e, 'dilations'),
                    n = e.kernelShape.slice(),
                    s = e.strides.slice(),
                    d = u ? e.dilations.slice() : [],
                    f = e.pads.slice();
                pr.adjustPoolAttributes(o, i, n, s, d, f);
                let r = pr.computePoolOutputShape(o, i, s, d, n, f, e.autoPad),
                    a = Object.assign({}, e);
                return (
                    u
                        ? Object.assign(a, { kernelShape: n, strides: s, pads: f, dilations: d, cacheKey: e.cacheKey })
                        : Object.assign(a, { kernelShape: n, strides: s, pads: f, cacheKey: e.cacheKey }),
                    [a, r]
                );
            }),
            (hb = {
                autoPad: '',
                ceilMode: 0,
                countIncludePad: !1,
                kernelShape: [],
                strides: [],
                pads: [],
                storageOrder: 0,
                dilations: [],
                cacheKey: '',
            }),
            (Uf = { name: 'GlobalMaxPool', inputNames: ['X'], inputTypes: [0] }),
            (Jf = (t, e) => (uo(e), [t.run({ ...Uf, get: () => Xf(e, Uf, !0, hb) }, e)])),
            (uo = (t) => {
                if (!t || t.length !== 1) throw new Error('Pool ops requires 1 input.');
                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('Invalid input type.');
            }),
            (Zf = (t, e, o, i, u) => {
                let n = t.length;
                if (e.kernelShape.length <= 2) {
                    let s = e.kernelShape[e.kernelShape.length - 1],
                        d = e.strides[e.strides.length - 1],
                        f = e.pads[e.pads.length / 2 - 1],
                        r = e.pads[e.pads.length - 1],
                        a = t[n - 1],
                        l = '',
                        p = '',
                        m = '';
                    if (
                        (f + r !== 0
                            ? (l = `
          for (int i = 0; i < ${s}; i++) {
            x[${n} - 1] = indices[${n} - 1] * ${d} - ${f} + i;
            if (x[${n} - 1] < 0 || x[${n} - 1] >= ${a}) {
              pad++;
              continue;
            }
            ${o}
          }`)
                            : (l = `
          for (int i = 0; i < ${s}; i++) {
            x[${n} - 1] = indices[${n} - 1] * ${d} - ${f} + i;
            ${o}
          }`),
                        e.kernelShape.length === 2)
                    ) {
                        let y = e.kernelShape[e.kernelShape.length - 2],
                            T = e.strides[e.strides.length - 2],
                            v = e.pads[e.pads.length / 2 - 2],
                            S = e.pads[e.pads.length - 2],
                            E = t[n - 2];
                        v + S !== 0
                            ? (p = `
            for (int j = 0; j < ${y}; j++) {
              x[${n} - 2] = indices[${n} - 2] * ${T} - ${v} + j;
              if (x[${n} - 2] < 0 || x[${n} - 2] >= ${E}) {
                pad+= ${s};
                continue;
              }
          `)
                            : (p = `
            for (int j = 0; j < ${y}; j++) {
              x[${n} - 2] = indices[${n} - 2] * ${T} - ${v} + j;
            `),
                            (m = `
          }
        `);
                    }
                    return `
        float process(int indices[${n}]) {
          int x[${n}];
          copyVec(indices, x);

          float value = ${u};
          int pad = 0;
          ${p}
          ${l}
          ${m}
          ${i}
          return value;
        }
      `;
                } else {
                    let s = U.size(e.kernelShape),
                        d = U.computeStrides(e.kernelShape),
                        f = d.length,
                        r = e.pads.length,
                        a = mb(f),
                        l = so(t, 'inputDims'),
                        p = so(e.pads, 'pads'),
                        m = so(d, 'kernelStrides'),
                        y = so(e.strides, 'strides'),
                        T = e.pads.reduce((S, E) => S + E),
                        v = '';
                    return (
                        T
                            ? (v = `
            if (x[j] >= inputDims[j] || x[j] < 0) {
              pad++;
              isPad = true;
              break;
            }
          }
          if (!isPad) {
            ${o}
          }`)
                            : (v = `
          }
          ${o}
        `),
                        `
        ${a}
        float process(int indices[${n}]) {
          int x[${n}];
          copyVec(indices, x);
          int offset[${f}];
          int pads[${r}];
          int inputDims[${n}];
          int kernelStrides[${f}];
          int strides[${f}];
          ${p}
          ${l}
          ${y}
          ${m}

          float value = ${u};
          int pad = 0;
          bool isPad = false;
          for (int i = 0; i < ${s}; i++) {
            offsetToIndices(i, kernelStrides, offset);
            isPad = false;
            for (int j = ${n} - ${f}; j < ${n}; j++) {
              x[j] = indices[j] * strides[j - ${n} + ${f}]
                + offset[j - ${n} + ${f}] - pads[j - 2];
              ${v}
          }
          ${i}

          return value;
        }
      `
                    );
                }
            }),
            (so = (t, e) => {
                let o = '';
                for (let i = 0; i < t.length; i++)
                    o += `
      ${e}[${i}] = ${t[i]};
    `;
                return o;
            }),
            (mb = (t) => `
  void offsetToIndices(int offset, int[${t}] strides, out int[${t}] indices) {
    if (${t} == 0) {
      return;
    }
    for (int i = 0; i < ${t} - 1; ++i) {
      indices[i] = offset / strides[i];
      offset -= indices[i] * strides[i];
    }
    indices[${t} - 1] = offset;
  }`);
    }),
    Tr,
    Zt,
    bb,
    gb,
    ec,
    tc,
    rc,
    nc,
    oc,
    ic,
    ac,
    sc = L(() => {
        Ge(),
            pn(),
            fe(),
            ae(),
            (Tr = (t, e, o, i, u) => {
                gb(e);
                let n = { name: i, inputNames: ['A'], inputTypes: [0] };
                return [t.run({ ...n, cacheHint: o.cacheKey, get: () => bb(t, e, o, i, u, n) }, e)];
            }),
            (Zt = (t) => {
                let e = t.attributes.getInts('axes', []),
                    o = t.attributes.getInt('keepdims', 1) === 1;
                return ee({ axes: e, keepDims: o });
            }),
            (bb = (t, e, o, i, u, n) => {
                let s = [],
                    d = e[0].dims.length || 1,
                    f = [],
                    r = U.normalizeAxes(o.axes, e[0].dims.length),
                    a = u(e, r),
                    l = a[1];
                for (let m = 0; m < e[0].dims.length; m++)
                    r.indexOf(m) >= 0 || r.length === 0
                        ? (o.keepDims && s.push(1),
                          (l = `
          for(int j${m} = 0; j${m} < ${e[0].dims[m]}; j${m}++) {
            inputIdx[${m}] = j${m};
            ${l}
          }`))
                        : (f.push(`inputIdx[${m}] = outputIdx[${s.length}];`), s.push(e[0].dims[m]));
                let p = `
      float process(int outputIdx[${s.length || 1}]) {
        float value;                 // final result
        int inputIdx[${d}];      // addressing input data
        ${f.join(`
`)}
        ${a[0]}       // init ops for reduce max/min
        ${l}
        ${a[2]}       // final computation for reduce mean
        return value;
      }`;
                return { ...n, output: { dims: s, type: e[0].type, textureType: 0 }, shaderSource: p };
            }),
            (gb = (t) => {
                if (!t || t.length !== 1) throw new Error('Reduce op requires 1 input.');
                if (Jt.indexOf(t[0].type) === -1) throw new Error('Invalid input type.');
            }),
            (ec = (t, e, o) => Tr(t, e, o, 'ReduceSum', () => ['value = 0.0;', 'value += _A(inputIdx);', ''])),
            (tc = (t, e, o) =>
                Tr(t, e, o, 'ReduceMean', (i, u) => {
                    let n = 1;
                    for (let s = 0; s < i[0].dims.length; s++)
                        (u.indexOf(s) >= 0 || u.length === 0) && (n *= i[0].dims[s]);
                    return ['value = 0.0;', 'value += _A(inputIdx);', `value /= ${n}.;`];
                })),
            (rc = (t, e, o) =>
                Tr(t, e, o, 'ReduceMax', (i, u) => {
                    let n = [];
                    for (let s = 0; s < i[0].dims.length; s++)
                        (u.indexOf(s) >= 0 || u.length === 0) && n.push(`inputIdx[${s}] = 0;`);
                    return [
                        `${n.join(`
`)}
value = _A(inputIdx);`,
                        'value = max(value, _A(inputIdx));',
                        '',
                    ];
                })),
            (nc = (t, e, o) =>
                Tr(t, e, o, 'ReduceMin', (i, u) => {
                    let n = [];
                    for (let s = 0; s < i[0].dims.length; s++)
                        (u.indexOf(s) >= 0 || u.length === 0) && n.push(`inputIdx[${s}] = 0;`);
                    return [
                        `${n.join(`
`)}
value = _A(inputIdx);`,
                        'value = min(value, _A(inputIdx));',
                        '',
                    ];
                })),
            (oc = (t, e, o) => Tr(t, e, o, 'ReduceProd', () => ['value = 1.0;', 'value *= _A(inputIdx);', ''])),
            (ic = (t, e, o) =>
                Tr(t, e, o, 'ReduceLogSum', () => ['value = 0.0;', 'value += _A(inputIdx);', 'value = log(value);'])),
            (ac = (t, e, o) =>
                Tr(t, e, o, 'ReduceLogSumSquare', () => [
                    'float t; value = 0.0;',
                    't = _A(inputIdx); value += t * t;',
                    '',
                ]));
    }),
    uc,
    lc = L(() => {
        fe(),
            (uc = (t, e) => {
                let o = U.calculateReshapedDims(e[0].dims, e[1].integerData);
                return t.session.pack ? [t.reshapePacked(e[0], o)] : [t.reshapeUnpacked(e[0], o)];
            });
    }),
    fc,
    Ni,
    cc,
    pc,
    dn,
    yb,
    Ri,
    lo,
    Mi = L(() => {
        Ge(),
            xe(),
            ae(),
            (fc = { name: 'Upsample', inputNames: ['X'], inputTypes: [0] }),
            (Ni = (t, e, o) => (Ri(e, o), [t.run({ ...fc, cacheHint: o.cacheKey, get: () => yb(t, e, o) }, e)])),
            (cc = (t) => dn(t, 7)),
            (pc = (t) => dn(t, 9)),
            (dn = (t, e) => {
                let o = e >= 10,
                    i = t.attributes.getString('mode', 'nearest');
                if (i !== 'nearest' && i !== 'linear' && (e < 11 || i !== 'cubic'))
                    throw new Error(`unrecognized mode: ${i}`);
                let u = [];
                e < 9 && ((u = t.attributes.getFloats('scales')), lo(u, i, o));
                let n = t.attributes.getFloat('extrapolation_value', 0),
                    s = e > 10 ? t.attributes.getString('coordinate_transformation_mode', 'half_pixel') : 'asymmetric';
                if (
                    [
                        'asymmetric',
                        'pytorch_half_pixel',
                        'tf_half_pixel_for_nn',
                        'align_corners',
                        'tf_crop_and_resize',
                        'half_pixel',
                    ].indexOf(s) === -1
                )
                    throw new Error(`coordinate_transform_mode '${s}' is not supported`);
                let d = s === 'tf_crop_and_resize',
                    f = d,
                    r = i === 'nearest' && e >= 11 ? t.attributes.getString('nearest_mode', 'round_prefer_floor') : '';
                if (['round_prefer_floor', 'round_prefer_ceil', 'floor', 'ceil', ''].indexOf(r) === -1)
                    throw new Error(`nearest_mode '${r}' is not supported`);
                let a = t.attributes.getFloat('cubic_coeff_a', -0.75),
                    l = t.attributes.getInt('exclude_outside', 0) !== 0;
                if (l && i !== 'cubic') throw new Error('exclude_outside can be set to 1 only when mode is CUBIC.');
                let p = e < 11 ? !0 : i === 'nearest' && s === 'asymmetric' && r === 'floor',
                    m = 0,
                    y = 0,
                    T = 0;
                return (
                    e > 10
                        ? t.inputs.length > 2
                            ? ((m = 1), (y = 2), (T = 3))
                            : ((y = 1), (T = 2))
                        : e === 9 && (y = 1),
                    ee({
                        opset: e,
                        isResize: o,
                        mode: i,
                        scales: u,
                        extrapolationValue: n,
                        coordinateTransformMode: s,
                        useExtrapolation: f,
                        needRoiInput: d,
                        nearestMode: r,
                        cubicCoefficientA: a,
                        excludeOutside: l,
                        useNearest2xOptimization: p,
                        roiInputIdx: m,
                        scalesInputIdx: y,
                        sizesInputIdx: T,
                    })
                );
            }),
            (yb = (t, e, o) => {
                let i = q(t.session.backend.glContext.version),
                    [u, n] = t.calculateTextureWidthAndHeight(e[0].dims, 0),
                    s = e[0].dims.map((T, v) => Math.floor(T * o.scales[v])),
                    [d, f] = t.calculateTextureWidthAndHeight(s, 0),
                    r = s.length,
                    a = new Array(r),
                    l = new Array(r),
                    p = `
      int output_pitches[${r}];
      int input_pitches[${r}];
      `;
                for (let T = r - 1; T >= 0; T--)
                    (a[T] = T === r - 1 ? 1 : a[T + 1] * s[T + 1]),
                        (l[T] = T === r - 1 ? 1 : l[T + 1] * e[0].dims[T + 1]),
                        (p += `
        output_pitches[${T}] = ${a[T]};
        input_pitches[${T}] = ${l[T]};
        `);
                let m = `
      float getInputFloat(int index) {
        vec2 coords = offsetToCoords(index, ${u}, ${n});
        float value = getColorAsFloat(${i.texture2D}(X, coords));
        return value;
      }
      `,
                    y =
                        o.mode === 'nearest'
                            ? `
    ${m}
    float process(int indices[${r}]) {
      int input_index = 0;
      int output_index = coordsToOffset(TexCoords, ${d}, ${f});

      ${p}

      int d, m;
      for (int dim = 0; dim < ${r}; ++dim) {
        d = output_index / output_pitches[dim];
        m = output_index - d * output_pitches[dim];
        output_index = m;

        if (scales[dim] != 1 && d > 0) {
          int d2 = d / scales[dim];
          m = d - d2 * scales[dim];
          d = d2;
        }
        input_index += input_pitches[dim] * d;
      }

      return getInputFloat(input_index);
    }`
                            : r === 4
                            ? `
    ${m}
    float process(int indices[4]) {
      int input_index = 0;
      int output_index = coordsToOffset(TexCoords, ${d}, ${f});

      ${p}

      int m;
      int index_of_dim0, index_of_dim1, index_of_dim2, index_of_dim3;
      index_of_dim0 = output_index / output_pitches[0];
      m = output_index - index_of_dim0 * output_pitches[0];
      index_of_dim1 = m / output_pitches[1];
      m = m - index_of_dim1 * output_pitches[1];
      index_of_dim2 = m / output_pitches[2];
      m = m - index_of_dim2 * output_pitches[2];
      index_of_dim3 = m;

      int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset;
      index_of_input_dim2 = index_of_dim2 / scales[2];
      y_offset = index_of_dim2 - index_of_input_dim2 * scales[2];
      index_of_input_dim3 = index_of_dim3 / scales[3];
      x_offset = index_of_dim3 - index_of_input_dim3 * scales[3];

      input_index = index_of_dim0 * input_pitches[0] +
            index_of_dim1 * input_pitches[1] +
            index_of_input_dim2 * input_pitches[2] +
            index_of_input_dim3;

      float x00 = getInputFloat(input_index);
      float x10, x01, x11;

      bool end_of_dim2 = false;
      if (index_of_input_dim2 == (${e[0].dims[2]} - 1)) {
        // It's the end in dimension 2
        x01 = x00;
        end_of_dim2 = true;
      } else {
        x01 = getInputFloat(input_index + input_pitches[2]);
      }

      if (index_of_input_dim3 == (input_pitches[2] - 1)) {
        // It's the end in dimension 3
        x10 = x00;
        x11 = x01;
      }
      else {
        x10 = getInputFloat(input_index + 1);
        x11 = end_of_dim2 ? x10 : getInputFloat(input_index + input_pitches[2] + 1);
      }

      float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[2]);
      float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[2]);
      return y0 + float(x_offset) * (y1 - y0) / float(scales[3]);
    }`
                            : `
    ${m}
    float process(int indices[2]) {
      int input_index = 0;
      int output_index = coordsToOffset(TexCoords, ${d}, ${f});

      ${p}

      int m;
      int index_of_dim0, index_of_dim1;
      index_of_dim0 = output_index / output_pitches[0];
      m = output_index - index_of_dim0 * output_pitches[0];
      index_of_dim1 = m;

      int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset;
      index_of_input_dim0 = index_of_dim0 / scales[0];
      y_offset = index_of_dim0 - index_of_input_dim0 * scales[0];
      index_of_input_dim1 = index_of_dim1 / scales[1];
      x_offset = index_of_dim1 - index_of_input_dim1 * scales[1];

      input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1;

      float x00 = getInputFloat(input_index);
      float x10, x01, x11;

      bool end_of_dim0 = false;
      if (index_of_input_dim0 == (${e[0].dims[0]} - 1)) {
        // It's the end in dimension 0
        x01 = x00;
        end_of_dim0 = true;
      } else {
        x01 = getInputFloat(input_index + input_pitches[0]);
      }

      if (index_of_input_dim1 == (input_pitches[0] - 1)) {
        // It's the end in dimension 1
        x10 = x00;
        x11 = x01;
      }
      else {
        x10 = getInputFloat(input_index + 1);
        x11 = end_of_dim0 ? x10 : getInputFloat(input_index + input_pitches[0] + 1);
      }

      float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[0]);
      float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[0]);
      return y0 + float(x_offset) * (y1 - y0) / float(scales[1]);
    }`;
                return {
                    ...fc,
                    output: { dims: s, type: e[0].type, textureType: 0 },
                    shaderSource: y,
                    variables: [
                        {
                            name: 'scales',
                            type: 'int',
                            arrayLength: o.scales.length,
                            data: o.scales.map((T) => Math.ceil(T)),
                        },
                    ],
                };
            }),
            (Ri = (t, e) => {
                if (
                    !t ||
                    (e.opset < 9 && t.length !== 1) ||
                    (e.opset >= 9 && e.opset < 11 && t.length !== 2) ||
                    (e.opset >= 11 && t.length < 2)
                )
                    throw new Error('invalid inputs.');
                if (e.scales.length > 0 && t[0].dims.length !== e.scales.length)
                    throw new Error('Invalid input shape.');
                if (t[0].type === 'string') throw new Error('Invalid input tensor types.');
            }),
            (lo = (t, e, o) => {
                if (o) {
                    for (let i of t) if (i <= 0) throw new Error('Scale value should be greater than 0.');
                } else for (let i of t) if (i < 1) throw new Error('Scale value should be greater than or equal to 1.');
                if ((e === 'linear' || e === 'cubic') && t.length !== 2 && (t.length !== 4 || t[0] !== 1 || t[1] !== 1))
                    throw new Error(
                        `'Linear' mode and 'Cubic' mode only support 2-D inputs ('Bilinear', 'Bicubic')         or 4-D inputs with the corresponding outermost 2 scale values being 1         in the ${
                            o ? 'Resize' : 'Upsample'
                        } opeartor.`
                    );
            });
    }),
    Gi,
    Ui,
    dc,
    hc,
    Tb,
    xb,
    vb,
    wb,
    mc = L(() => {
        xe(),
            ae(),
            Ft(),
            br(),
            Mi(),
            (Gi = { name: 'Resize', inputNames: ['A'], inputTypes: [2] }),
            (Ui = (t, e, o) => (Ri(e, o), [t.run({ ...Gi, cacheHint: o.cacheKey, get: () => Tb(t, e, o) }, e)])),
            (dc = (t) => dn(t, 10)),
            (hc = (t) => dn(t, 11)),
            (Tb = (t, e, o) => {
                let i = q(t.session.backend.glContext.version),
                    [u, n] = xb(e, o);
                if (u.every((E) => E === 1) && o.coordinateTransformMode !== 'tf_crop_and_resize')
                    return {
                        ...Gi,
                        output: { dims: n, type: e[0].type, textureType: 2 },
                        hasMain: !0,
                        shaderSource: `void main() {
                    vec4 v = ${i.texture2D}(X, TexCoords);
                    ${i.output} = v;
                }`,
                    };
                let s = n.length;
                if (s < 2) throw new Error(`output dimension should be at least 2, but got ${s}`);
                let d = n[s - 2],
                    f = n[s - 1],
                    r = e[0].dims;
                if (s !== r.length) throw new Error(`output dimension should match input ${r.length}, but got ${s}`);
                let a = r[s - 2],
                    l = r[s - 1],
                    p = u[s - 2],
                    m = u[s - 1],
                    y = '';
                if (o.mode !== 'linear') throw new Error(`resize (packed) does not support mode: '${o.mode}'`);
                switch (o.coordinateTransformMode) {
                    case 'asymmetric':
                        y = `
                    vec4 getSourceFracIndex(ivec4 coords) {
                        return vec4(coords) / scaleWHWH;
                    }
                `;
                        break;
                    case 'half_pixel':
                        y = `
                    vec4 getSourceFracIndex(ivec4 coords) {
                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;
                    }
                `;
                        break;
                    case 'pytorch_half_pixel':
                        y = `
                    vec4 getSourceFracIndex(ivec4 coords) {
                        vec4 fcoords = vec4(coords);
                        return vec4(
                            ${f}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,
                            ${d}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,
                            ${f}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,
                            ${d}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0
                          );
                    }
                `;
                        break;
                    case 'align_corners':
                        y = `
                    vec4 getSourceFracIndex(ivec4 coords) {
                        vec4 resized = vec4(${f}.0 - 1.0, ${d}.0 - 1.0, ${f}.0 - 1.0,
                            ${d}.0 - 1.0);
                        vec4 original = vec4(${l}.0 - 1.0, ${a}.0 - 1.0, ${l}.0 - 1.0,
                            ${a}.0 - 1.0);
                        vec4 new_scale = original / resized;
                        return vec4(coords) * new_scale;
                    }
                `;
                        break;
                    default:
                        throw new Error(
                            `resize (packed) does not support coordinateTransformMode:                                 '${o.coordinateTransformMode}'`
                        );
                }
                let T = Ke(s),
                    v = $t(),
                    S = `
            const vec2 inputWH = vec2(${a}.0, ${l}.0);
            const vec4 scaleWHWH = vec4(float(${p}), float(${m}), float(${p}), float(${m}));
            ${v}
            ${y}
            float getAValue(int x10, int r, int c, int d) {
                return getChannel(getA(x10, r, c, d), vec2(c, d));
            }
            void main() {
                ${T} rc = getOutputCoords();

                int batch = rc[0];
                int depth = rc[1];

                // retrieve the 4 coordinates that is used in the 4 packed output values.
                ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1);

                // calculate the source index in fraction
                vec4 sourceFrac = getSourceFracIndex(coords);

                // get the lower and upper bound of the 4 values that will be packed into one texel.
                ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy)));
                ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw)));
                ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy)));
                ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw)));

                bool hasNextRow = rc.w < ${d - 1};
                bool hasNextCol = rc.z < ${f - 1};

                // pack x00, x01, x10, x11's top-left corner into one vec4 structure
                vec4 topLeft = vec4(
                    getAValue(batch, depth, x00.x, x00.y),
                    hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0,
                    hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0,
                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0);

                // pack x00, x01, x10, x11's top-right corner into one vec4 structure
                vec4 topRight = vec4(
                    getAValue(batch, depth, x00.x, x00.w),
                    hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0,
                    hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0,
                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0);

                // pack x00, x01, x10, x11's bottom-left corner into one vec4 structure
                vec4 bottomLeft = vec4(
                    getAValue(batch, depth, x00.z, x00.y),
                    hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0,
                    hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0,
                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0);

                // pack x00, x01, x10, x11's bottom-right corner into one vec4 structure
                vec4 bottomRight = vec4(
                    getAValue(batch, depth, x00.z, x00.w),
                    hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0,
                    hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0,
                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0);

                // calculate the interpolation fraction on u and v direction
                vec4 frac = vec4(sourceFrac) - floor(sourceFrac);
                vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0));

                vec4 top = mix(topLeft, topRight, clampFrac.ywyw);
                vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw);
                vec4 newValue = mix(top, bottom, clampFrac.xxzz);

                ${i.output} = vec4(newValue);
            }
        `;
                return { ...Gi, output: { dims: n, type: e[0].type, textureType: 2 }, hasMain: !0, shaderSource: S };
            }),
            (xb = (t, e) => {
                let o = t[0].dims,
                    i = e.scales,
                    u;
                if (i.length === 0) {
                    let s = t[e.scalesInputIdx];
                    if (s && s.size !== 0) {
                        if (t[e.sizesInputIdx])
                            throw new Error('Only one of scales or sizes must be provided as input.');
                        i = vb(s, e.mode, e.isResize);
                    } else {
                        let d = t[e.sizesInputIdx];
                        if (!d || d.size === 0) throw new Error('Either scales or sizes MUST be provided as input.');
                        (u = Array.from(d.integerData)), (i = wb(u, o, e.mode, e.isResize));
                    }
                } else if (t[e.sizesInputIdx])
                    throw new Error('Only one of scales or sizes must be provided as input.');
                let n = u || o.map((s, d) => Math.floor(s * i[d]));
                return [i, n];
            }),
            (vb = (t, e, o) => {
                let i = Array.from(t.floatData);
                return lo(i, e, o), i;
            }),
            (wb = (t, e, o, i) => {
                let u = e.length,
                    n = new Array(u);
                for (let s = 0, d = u; s < d; s++)
                    if (e[s] === 0) {
                        if (t[s] !== 0) throw new Error('Input dim is zero but required output dim is non-zero.');
                        n[s] = 1;
                    } else n[s] = t[s] / e[s];
                return lo(n, o, i), n;
            });
    }),
    bc,
    _b,
    gc = L(() => {
        mr(),
            (bc = (t, e) => (_b(e), [new Fe([e[0].dims.length], 'int32', void 0, void 0, new Int32Array(e[0].dims))])),
            (_b = (t) => {
                if (!t || t.length !== 1) throw new Error('Shape requires 1 input.');
            });
    }),
    zi,
    yc,
    Tc,
    xc,
    Ob,
    vc,
    Ib,
    Sb,
    wc = L(() => {
        Ge(),
            pn(),
            fe(),
            ae(),
            (zi = { name: 'Slice', inputNames: ['A'], inputTypes: [0] }),
            (yc = (t, e, o) => (Ob(e), [t.run({ ...zi, cacheHint: o.cacheKey, get: () => xc(t, e[0], o) }, e)])),
            (Tc = (t) => {
                let e = t.attributes.getInts('starts'),
                    o = t.attributes.getInts('ends'),
                    i = t.attributes.getInts('axes', []);
                return ee({ starts: e, ends: o, axes: i });
            }),
            (xc = (t, e, o) => {
                let i = o.axes.length === 0 ? e.dims.slice(0).map((a, l) => l) : o.axes,
                    u = U.normalizeAxes(i, e.dims.length),
                    n = o.starts.map((a, l) =>
                        a > e.dims[u[l]] - 1 ? e.dims[u[l]] : U.normalizeAxis(a, e.dims[u[l]])
                    ),
                    s = o.ends.map((a, l) => (a > e.dims[u[l]] - 1 ? e.dims[u[l]] : U.normalizeAxis(a, e.dims[u[l]]))),
                    d = e.dims.slice(),
                    f = [];
                for (let a = 0; a < u.length; a++)
                    (d[u[a]] = s[a] - n[a]), n[a] > 0 && f.push(`outputIdx[${u[a]}] += ${n[a]};`);
                let r = `
      float process(int outputIdx[${d.length}]) {
        ${f.join(`
      `)}
        return _A(outputIdx);
      }`;
                return { ...zi, output: { dims: d, type: e.type, textureType: 0 }, shaderSource: r };
            }),
            (Ob = (t) => {
                if (!t || t.length !== 1) throw new Error('Slice requires 1 input.');
                if (Jt.indexOf(t[0].type) === -1) throw new Error('Invalid input type.');
            }),
            (vc = (t, e) => {
                Sb(e);
                let o = Ib(t, e);
                return [t.run({ ...zi, cacheHint: o.cacheKey, get: () => xc(t, e[0], o) }, [e[0]])];
            }),
            (Ib = (t, e) => {
                if (
                    !t.session.isInitializer(e[1].dataId) ||
                    !t.session.isInitializer(e[2].dataId) ||
                    (e.length >= 4 && !t.session.isInitializer(e[3].dataId)) ||
                    (e.length >= 5 && !t.session.isInitializer(e[4].dataId))
                )
                    throw new Error('dynamic slice attributes are not allowed');
                if (e.length >= 5 && e[4].integerData.some((s) => s !== 1))
                    throw new Error('currently non-1 steps is not supported for Slice');
                let o = Array.from(e[1].integerData),
                    i = Array.from(e[2].integerData),
                    u = e.length >= 4 ? Array.from(e[3].integerData) : [],
                    n = `${u};${o};${i}`;
                return { starts: o, ends: i, axes: u, cacheKey: n };
            }),
            (Sb = (t) => {
                if (!t || t.length < 3 || t.length > 5) throw new Error('Invalid input number.');
                if (t[1].type !== 'int32' || t[1].dims.length !== 1) throw new Error('Invalid input type.');
                if (t[2].type !== 'int32' || t[2].dims.length !== 1) throw new Error('Invalid input type.');
                if (t.length >= 4 && (t[3].type !== 'int32' || t[3].dims.length !== 1))
                    throw new Error('Invalid input type.');
                if (t.length >= 5 && (t[4].type !== 'int32' || t[4].dims.length !== 1))
                    throw new Error('Invalid input type.');
            });
    }),
    _c,
    Oc,
    Ic,
    Sc,
    Ac,
    Pc,
    Ec,
    Dc,
    Ab,
    Pb,
    Eb,
    Lc,
    Fc = L(() => {
        Ge(),
            fe(),
            xe(),
            ae(),
            ao(),
            (_c = { name: 'SoftmaxComputeMax', inputNames: ['A'], inputTypes: [0] }),
            (Oc = { name: 'SoftmaxComputeScale', inputNames: ['A', 'Max'], inputTypes: [0, 0] }),
            (Ic = { name: 'SoftMax', inputNames: ['A', 'Max', 'Norm'], inputTypes: [0, 0, 0] }),
            (Sc = (t, e, o) => {
                Lc(e);
                let i = e[0].dims.slice(),
                    u = U.normalizeAxis(o.axis, i.length),
                    n = U.sizeToDimension(i, u),
                    s = U.sizeFromDimension(i, u);
                return Dc(t, e, o, n, s);
            }),
            (Ac = (t) => ee({ axis: t.attributes.getInt('axis', 1) })),
            (Pc = (t) => ee({ axis: t.attributes.getInt('axis', -1) })),
            (Ec = (t, e, o) => {
                Lc(e);
                let i = e[0].dims.slice(),
                    u = U.normalizeAxis(o.axis, i.length),
                    n = i.length,
                    s = u !== n - 1,
                    d = [],
                    f = [],
                    r = [],
                    a;
                s &&
                    ((f = Array.from({ length: n }).map((y, T) => T)),
                    (f[u] = n - 1),
                    (f[n - 1] = u),
                    f.map((y) => d.push(i[y])),
                    (a = ee({ perm: f })),
                    (r = yr(t, e, a)));
                let l = s ? U.sizeToDimension(d, n - 1) : U.sizeToDimension(i, n - 1),
                    p = s ? U.sizeFromDimension(d, n - 1) : U.sizeFromDimension(i, n - 1),
                    m = Dc(t, s ? r : e, o, l, p);
                return s ? yr(t, m, a) : m;
            }),
            (Dc = (t, e, o, i, u) => {
                let n = Ab(t, e[0], i, u, [i]),
                    s = t.run({ ..._c, cacheHint: o.cacheKey, get: () => n }, e),
                    d = Pb(t, e[0], i, u, n.output.dims, [i]),
                    f = t.run({ ...Oc, cacheHint: o.cacheKey, get: () => d }, [e[0], s]),
                    r = Eb(t, e[0], i, u, n.output.dims, d.output.dims);
                return [t.run({ ...Ic, cacheHint: o.cacheKey, get: () => r }, [e[0], s, f])];
            }),
            (Ab = (t, e, o, i, u) => {
                let [n, s] = t.calculateTextureWidthAndHeight(e.dims, 0),
                    d = u.length;
                if (o < 1 || i < 1)
                    throw new Error('Logical row count N and feature count D must be greater than or equal to 1');
                if (u.length !== 1) throw new Error('Dimensionality of the output should be 1');
                if (u[0] !== o) throw new Error('Shape of the output should be equal to logical row count');
                let f = q(t.session.backend.glContext.version),
                    r = `
      float process(int[${d}] indices) {
        int logical_row_start_offset = indices[0] * ${i};

        float max = getColorAsFloat(${f.texture2D}(A, offsetToCoords(logical_row_start_offset, ${n},
        ${s} )));
        for(int i=1; i<${i}; ++i)
        {
          float current = getColorAsFloat(${f.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
            ${n}, ${s})));
          if(current > max)
          max = current;
        }

        return max;
      }`;
                return { ..._c, output: { dims: u, type: e.type, textureType: 0 }, shaderSource: r };
            }),
            (Pb = (t, e, o, i, u, n) => {
                let [s, d] = t.calculateTextureWidthAndHeight(e.dims, 0),
                    f = n.length;
                if (o < 1 || i < 1)
                    throw new Error('Logical row count N and feature count D must be greater than or equal to 1');
                if (n.length !== 1) throw new Error('Dimensionality of the output should be 1');
                if (n[0] !== o) throw new Error('Shape of the output should be equal to logical row count');
                if (u.length !== 1) throw new Error('Dimensionality of the intermediate results should be 1');
                if (u[0] !== o)
                    throw new Error('Shape of the intermediate results should be equal to logical row count');
                let r = q(t.session.backend.glContext.version),
                    a = `
      float process(int[${f}] indices) {
        int logical_row_start_offset = indices[0] * ${i};

        float norm_factor = 0.0;
        float max = _Max(indices);
        for(int i=0; i<${i}; ++i)
        {
          norm_factor += exp(getColorAsFloat(${r.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
            ${s}, ${d}))) - max);
        }

        return norm_factor;
      }`;
                return { ...Oc, output: { dims: n, type: e.type, textureType: 0 }, shaderSource: a };
            }),
            (Eb = (t, e, o, i, u, n) => {
                let [s, d] = t.calculateTextureWidthAndHeight(e.dims, 0),
                    f = e.dims.length;
                if (o < 1 || i < 1)
                    throw new Error('Logical row count N and feature count D must be greater than or equal to 1');
                if (u.length !== 1 || n.length !== 1)
                    throw new Error('Dimensionality of the intermediate results should be 1');
                if (u[0] !== o || n[0] !== o)
                    throw new Error('Shape of the intermediate results should be equal to logical row count');
                let r = `
      float process(int[${f}] indices) {

      // get offset of current logical tensor index from the 2-D texture coordinates (TexCoords)
      int offset = coordsToOffset(TexCoords, ${s}, ${d});

      //determine the logical row for this index
      int logical_row_index[1];
      logical_row_index[0] = offset / ${i};

      float norm_factor = _Norm(logical_row_index);

      // avoid possible division by 0
      // if norm_facor is 0, all elements are zero
      // if so, return 0
      if(norm_factor == 0.0)
        return 0.0;

      return exp(_A(indices) - _Max(logical_row_index)) / norm_factor;
    }`;
                return { ...Ic, output: { dims: e.dims, type: e.type, textureType: 0 }, shaderSource: r };
            }),
            (Lc = (t) => {
                if (!t || t.length !== 1) throw new Error('Softmax requires 1 input.');
                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('Invalid input type');
            });
    }),
    $c,
    Cc,
    kc,
    Db,
    Lb,
    Fb,
    Bc = L(() => {
        Ge(),
            fe(),
            ae(),
            ($c = { name: 'Split', inputNames: ['A'], inputTypes: [0] }),
            (Cc = (t, e, o) => {
                Fb(e);
                let i = U.normalizeAxis(o.axis, e[0].dims.length),
                    u = Db(t, e, i, o),
                    n = [];
                for (let s = 0; s < u; ++s)
                    n.push(t.run({ ...$c, cacheHint: `${o.cacheKey};${s}`, get: () => Lb(t, e[0], o, i, s) }, e));
                return n;
            }),
            (kc = (t) => {
                let e = t.attributes.getInt('axis', 0),
                    o = t.attributes.getInts('split', []),
                    i = t.outputs.length;
                return ee({ axis: e, split: o, numOutputs: i });
            }),
            (Db = (t, e, o, i) => {
                let [, u] = an.splitShape(e[0].dims, o, i.split, i.numOutputs);
                return u.length;
            }),
            (Lb = (t, e, o, i, u) => {
                let [n, s] = an.splitShape(e.dims, i, o.split, o.numOutputs),
                    d = s[u],
                    f = n[u],
                    r = `
      float process(int indices[${f.length}]) {
        indices[${i}] += ${d};
        return _A(indices);
      }
    `;
                return {
                    ...$c,
                    cacheHint: `${o.cacheKey}:${u}`,
                    output: { dims: f, type: e.type, textureType: 0 },
                    shaderSource: r,
                };
            }),
            (Fb = (t) => {
                if (!t || t.length !== 1) throw new Error('Split requires one input.');
                if (
                    t[0].type !== 'int8' &&
                    t[0].type !== 'uint8' &&
                    t[0].type !== 'int16' &&
                    t[0].type !== 'uint16' &&
                    t[0].type !== 'int32' &&
                    t[0].type !== 'uint32' &&
                    t[0].type !== 'float32' &&
                    t[0].type !== 'float64' &&
                    t[0].type !== 'bool'
                )
                    throw new Error('Invalid input type.');
            });
    }),
    Vi,
    Nc,
    Rc,
    $b,
    Cb,
    Mc = L(() => {
        fe(),
            (Vi = (t, e, o) => {
                $b(e);
                let i = U.squeezeShape(e[0].dims, o);
                return [t.reshapeUnpacked(e[0], i)];
            }),
            (Nc = (t, e) => (Cb(e), Vi(t, [e[0]], Array.from(e[1].integerData)))),
            (Rc = (t) => t.attributes.getInts('axes')),
            ($b = (t) => {
                if (!t || t.length !== 1) throw new Error('Squeeze requires 1 input.');
                if (t[0].type === 'string') throw new Error('invalid input tensor types.');
            }),
            (Cb = (t) => {
                if (!t || t.length !== 2) throw new Error('Squeeze requires 2 inputs.');
                if (t[1].type !== 'int32') throw new Error('Invalid input type.');
            });
    }),
    Gc,
    kb,
    Bb,
    Uc = L(() => {
        xe(),
            ae(),
            (Gc = (t, e) => {
                Bb(e);
                let o = { name: 'Sum', inputNames: e.map((i, u) => `X${u}`), inputTypes: new Array(e.length).fill(0) };
                return [t.run({ ...o, get: () => kb(t, e, o) }, e)];
            }),
            (kb = (t, e, o) => {
                let i = q(t.session.backend.glContext.version),
                    u = e[0].dims.slice(),
                    n = `
      void main() {
        vec4 result = ${e.map((s, d) => `${i.texture2D}(X${d},TexCoords)`).join(' + ')};
        ${i.output} = result;
      }
    `;
                return { ...o, output: { dims: u, type: e[0].type, textureType: 0 }, hasMain: !0, shaderSource: n };
            }),
            (Bb = (t) => {
                if (!t || t.length === 0) throw new Error('Sum requires inputs.');
                let e = t[0].dims.length;
                for (let o = 1; o < t.length; o++) {
                    if (e !== t[o].dims.length) throw new Error('Input shapes are mismatched.');
                    for (let i = 0; i < e; i++)
                        if (t[0].dims[i] !== t[o].dims[i]) throw new Error('Input shapes are not matched.');
                }
                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('Invalid input type.');
                for (let o = 1; o < t.length; o++)
                    if (t[0].type !== t[o].type) throw new Error('Input types are not matched.');
            });
    }),
    zc,
    Nb,
    Rb,
    Vc = L(() => {
        pn(),
            ae(),
            (zc = (t, e) => {
                Rb(e);
                let o = { name: 'Tile', inputNames: ['A'], inputTypes: [0] };
                return [t.run({ ...o, get: () => Nb(t, e, o) }, e)];
            }),
            (Nb = (t, e, o) => {
                let i = e[0].dims.slice(),
                    u = new Array(i.length),
                    n = [];
                for (let f = 0; f < i.length; f++)
                    (u[f] = i[f] * e[1].numberData[f]),
                        n.push(`inputIdx[${f}] = int(mod(float(outputIdx[${f}]), ${i[f]}.));`);
                let s = u.length,
                    d = `
      float process(int outputIdx[${s}]) {
        int inputIdx[${s}];
        ${n.join(`
`)}
        return _A(inputIdx);
      }
    `;
                return { ...o, output: { dims: u, type: e[0].type, textureType: 0 }, shaderSource: d };
            }),
            (Rb = (t) => {
                if (!t || t.length !== 2) throw new Error('Tile requires 2 input.');
                if (t[1].dims.length !== 1) throw new Error('The second input shape must 1 dimension.');
                if (t[1].dims[0] !== t[0].dims.length) throw new Error('Invalid input shape.');
                if (Jt.indexOf(t[0].type) === -1) throw new Error('Invalid input type.');
                if (t[1].type !== 'int32' && t[1].type !== 'int16') throw new Error('Invalid repeat type.');
            });
    }),
    Wi,
    Wc,
    Hc,
    Mb,
    Gb,
    qc = L(() => {
        fe(),
            (Wi = (t, e, o) => {
                Mb(e);
                let i = U.unsqueezeShape(e[0].dims, o);
                return [t.reshapeUnpacked(e[0], i)];
            }),
            (Wc = (t, e) => (Gb(e), Wi(t, [e[0]], Array.from(e[1].integerData)))),
            (Hc = (t) => t.attributes.getInts('axes')),
            (Mb = (t) => {
                if (!t || t.length !== 1) throw new Error('Unsqueeze requires 1 input.');
                if (t[0].type === 'string') throw new Error('invalid input tensor types.');
            }),
            (Gb = (t) => {
                if (!t || t.length !== 2) throw new Error('Unsqueeze requires 2 inputs.');
                if (t[1].type !== 'int32') throw new Error('Invalid input type.');
            });
    }),
    jc,
    Yc = L(() => {
        nl(),
            bl(),
            Tl(),
            Il(),
            no(),
            lf(),
            mf(),
            yf(),
            vf(),
            If(),
            Pf(),
            Ff(),
            Bf(),
            oo(),
            Gf(),
            Qf(),
            sc(),
            lc(),
            mc(),
            gc(),
            wc(),
            Fc(),
            Bc(),
            Mc(),
            Uc(),
            Vc(),
            ao(),
            Ai(),
            qc(),
            Mi(),
            (jc = [
                ['Abs', '', '6+', Sl],
                ['Acos', '', '7+', Al],
                ['Add', '', '7+', ol],
                ['And', '', '7+', il],
                ['Asin', '', '7+', Pl],
                ['Atan', '', '7+', El],
                ['AveragePool', '', '7+', zf, Vf],
                ['BatchNormalization', '', '7+', tl, rl],
                ['Cast', '', '6+', gl, yl],
                ['Ceil', '', '6+', Fl],
                ['Clip', '', '6-10', Ii, Dl],
                ['Clip', '', '11+', Ll],
                ['Concat', '', '4+', wl, Ol],
                ['Conv', '', '1+', $i, Ci],
                ['ConvTranspose', '', '1+', sf, uf],
                ['Cos', '', '7+', $l],
                ['Div', '', '7+', al],
                ['Dropout', '', '7+', Si],
                ['DepthToSpace', '', '1+', df, hf],
                ['Equal', '', '7+', sl],
                ['Elu', '', '6+', Cl, kl],
                ['Exp', '', '6+', Bl],
                ['Flatten', '', '1+', bf, gf],
                ['Floor', '', '6+', Nl],
                ['FusedConv', 'com.microsoft', '1+', $i, Ci],
                ['Gather', '', '1+', Tf, xf],
                ['Gemm', '', '7-10', ki, _f],
                ['Gemm', '', '11+', ki, Of],
                ['GlobalAveragePool', '', '1+', Hf, qf],
                ['GlobalMaxPool', '', '1+', Jf],
                ['Greater', '', '7+', ul],
                ['Identity', '', '1+', Si],
                ['ImageScaler', '', '1+', Sf, Af],
                ['InstanceNormalization', '', '6+', Df, Lf],
                ['LeakyRelu', '', '6+', Rl, Ml],
                ['Less', '', '7+', ll],
                ['LRN', '', '1+', $f, Cf],
                ['Log', '', '6+', Gl],
                ['MatMul', '', '1+', Ql, ef],
                ['MaxPool', '', '1+', jf, Yf],
                ['Mul', '', '7+', fl],
                ['Neg', '', '6+', Ul],
                ['Not', '', '1+', zl],
                ['Or', '', '7+', cl],
                ['Pad', '', '2-10', Bi, Nf],
                ['Pad', '', '11+', Rf, Mf],
                ['Pow', '', '7+', pl],
                ['PRelu', '', '7+', dl],
                ['ReduceLogSum', '', '1+', ic, Zt],
                ['ReduceMax', '', '1+', rc, Zt],
                ['ReduceMean', '', '1+', tc, Zt],
                ['ReduceMin', '', '1+', nc, Zt],
                ['ReduceProd', '', '1+', oc, Zt],
                ['ReduceSum', '', '1-12', ec, Zt],
                ['ReduceSumSquare', '', '1+', ac, Zt],
                ['Relu', '', '6+', Vl],
                ['Reshape', '', '5+', uc],
                ['Resize', '', '10', Ui, dc],
                ['Resize', '', '11+', Ui, hc],
                ['Shape', '', '1+', bc],
                ['Sigmoid', '', '6+', Wl],
                ['Sin', '', '7+', Hl],
                ['Slice', '', '10+', vc],
                ['Slice', '', '1-9', yc, Tc],
                ['Softmax', '', '1-12', Sc, Ac],
                ['Softmax', '', '13+', Ec, Pc],
                ['Split', '', '2-12', Cc, kc],
                ['Sqrt', '', '6+', ql],
                ['Squeeze', '', '1-12', Vi, Rc],
                ['Squeeze', '', '13+', Nc],
                ['Sub', '', '7+', hl],
                ['Sum', '', '6+', Gc],
                ['Tan', '', '7+', jl],
                ['Tanh', '', '6+', Yl],
                ['Tile', '', '6+', zc],
                ['Transpose', '', '1+', yr, cf],
                ['Upsample', '', '7-8', Ni, cc],
                ['Upsample', '', '9', Ni, pc],
                ['Unsqueeze', '', '1-12', Wi, Hc],
                ['Unsqueeze', '', '13+', Wc],
                ['Xor', '', '7+', ml],
            ]);
    });
function Kc(t) {
    let e = {},
        o;
    for (; (o = Xc.exec(t)) !== null; ) {
        let i = o[3]
            .split(',')
            .map((u) => {
                let n = u.trim().split(' ');
                return n && n.length === 2 ? { type: n[0], name: n[1] } : null;
            })
            .filter((u) => u !== null);
        e[o[2]] = { params: i, body: o[4] };
    }
    for (let i in e) {
        let u = Ub.replace('__FUNC__', i),
            n = new RegExp(u, 'gm');
        for (; (o = n.exec(t)) !== null; ) {
            let s = o[1],
                d = o[2],
                f = o[3].split(','),
                r = s ? `${s} ${d};` : '',
                a = e[i].body,
                l = '';
            e[i].params.forEach((m, y) => {
                m &&
                    (l += `${m.type} ${m.name} = ${f[y]};
`);
            }),
                (a = `${l}
 ${a}`),
                (a = a.replace('return', `${d} = `));
            let p = `
      ${r}
      {
        ${a}
      }
      `;
            t = t.replace(o[0], p);
        }
    }
    return (t = t.replace(Xc, '')), t;
}
var Xc,
    Ub,
    Jc = L(() => {
        (Xc = /@inline[\s\n\r]+(\w+)[\s\n\r]+([0-9a-zA-Z_]+)\s*\(([^)]*)\)\s*{(([^}]|[\n\r])*)}/gm),
            (Ub = '(\\w+)?\\s+([_0-9a-zA-Z]+)\\s+=\\s+__FUNC__\\((.*)\\)\\s*;');
    });
function Gr(t, e) {
    let o = [],
        i = [],
        u = e != null && Array.isArray(e) && e.length === 0,
        n = e == null || u ? null : zb(e, t).sort(),
        s = 0;
    for (let d = 0; d < t.length; ++d) {
        if (n != null) {
            if (n[s] === d && t[d] !== 1) throw new Error(`Can't squeeze axis ${d} since its dim '${t[d]}' is not 1`);
            (n[s] == null || n[s] > d) && t[d] === 1 && (o.push(t[d]), i.push(d)), n[s] <= d && s++;
        }
        t[d] !== 1 && (o.push(t[d]), i.push(d));
    }
    return { newShape: o, keptDims: i };
}
function zb(t, e) {
    let o = e.length;
    return (
        (t = t == null ? e.map((i, u) => u) : [].concat(t)),
        Cr(
            t.every((i) => i >= -o && i < o),
            () => `All values in axis param must be in range [-${o}, ${o}) but got axis ${t}`
        ),
        Cr(t.every(Vb), () => `All values in axis param must be integers but got axis ${t}`),
        t.map((i) => (i < 0 ? o + i : i))
    );
}
function Vb(t) {
    return t % 1 === 0;
}
function Wb(t) {
    if (t.length === 0) return 1;
    let e = t[0];
    for (let o = 1; o < t.length; o++) e *= t[o];
    return e;
}
function Zc(t) {
    let e = Math.ceil(Math.sqrt(t));
    return [e, Math.ceil(t / e)];
}
var fo,
    Hi = L(() => {
        ut(),
            fe(),
            (fo = class {
                constructor(t) {
                    this.maxTextureSize = t;
                }
                computeTextureWH(t, e) {
                    let o = this.computeTexture(t, e);
                    return e && e.isPacked && ((o[0] /= 2), (o[1] /= 2)), e && e.reverseWH ? [o[1], o[0]] : o;
                }
                computeTexture(t, e) {
                    let o = e && e.isPacked;
                    if (t.length === 0) return o ? [2, 2] : [1, 1];
                    let i = this.maxTextureSize;
                    if (e && e.breakAxis !== void 0) {
                        let s = e.breakAxis >= t.length ? 1 : t.slice(e.breakAxis).reduce((f, r) => f * r),
                            d = e.breakAxis <= 0 ? 1 : t.slice(0, e.breakAxis).reduce((f, r) => f * r);
                        if (s > i || d > i)
                            ce.verbose(
                                'TextureLayout',
                                `Given width/height preferences were unattainable: shape:${t}, breakAxis:${e.breakAxis}`
                            );
                        else return [s, d];
                    }
                    let u = t.slice(0);
                    o &&
                        ((i = i * 2),
                        (u = u.map((s, d) => (d >= u.length - 2 ? (u[d] % 2 === 0 ? u[d] : u[d] + 1) : u[d]))),
                        u.length === 1 && (u = [2, u[0]])),
                        u.length !== 2 && (u = Gr(u).newShape);
                    let n = Wb(u);
                    return u.length <= 1 && n <= i
                        ? [1, n]
                        : u.length === 2 && u[0] <= i && u[1] <= i
                        ? u
                        : u.length === 3 && u[0] * u[1] <= i && u[2] <= i
                        ? [u[0] * u[1], u[2]]
                        : u.length === 3 && u[0] <= i && u[1] * u[2] <= i
                        ? [u[0], u[1] * u[2]]
                        : u.length === 4 && u[0] * u[1] * u[2] <= i && u[3] <= i
                        ? [u[0] * u[1] * u[2], u[3]]
                        : u.length === 4 && u[0] <= i && u[1] * u[2] * u[3] <= i
                        ? [u[0], u[1] * u[2] * u[3]]
                        : o
                        ? Zc(n / 4).map((s) => s * 2)
                        : Zc(n);
                }
            });
    }),
    co,
    Qc = L(() => {
        fe(),
            Vt(),
            xe(),
            Hi(),
            Ft(),
            (co = class extends pt {
                constructor(t) {
                    super(t);
                }
                getFunctions() {
                    return {
                        ...this.offsetToCoords(),
                        ...this.coordsToOffset(),
                        ...this.toVec(),
                        ...this.valueFrom(),
                        ...this.getCommonUtilFuncs(),
                        ...this.getInputsSamplingSnippets(),
                        ...this.getOutputSamplingSnippet(),
                    };
                }
                getCustomTypes() {
                    return {};
                }
                offsetToCoords() {
                    let t = 'offsetToCoords';
                    return {
                        offsetToCoords: new R(`
      vec2 ${t}(int offset, int width, int height) {
        int t = offset / width;
        int s = offset - t*width;
        vec2 coords = (vec2(s,t) + vec2(0.5,0.5)) / vec2(width, height);
        return coords;
      }
      `),
                    };
                }
                coordsToOffset() {
                    let t = 'coordsToOffset';
                    return {
                        coordsToOffset: new R(`
      int ${t}(vec2 coords, int width, int height) {
        float s = coords.s * float(width);
        float t = coords.t * float(height);
        int offset = int(t) * width + int(s);
        return offset;
      }
      `),
                    };
                }
                getOutputSamplingSnippet() {
                    let t = this.context.outputTextureLayout;
                    return t.isPacked
                        ? this.getPackedOutputSamplingSnippet(t)
                        : this.getUnpackedOutputSamplingSnippet(t);
                }
                getPackedOutputSamplingSnippet(t) {
                    let e = t.unpackedShape,
                        o = [t.width, t.height],
                        i = {},
                        u = 'getOutputCoords';
                    switch (e.length) {
                        case 0:
                            i[u] = this.getOutputScalarCoords();
                            break;
                        case 1:
                            i[u] = this.getOutputPacked1DCoords(e, o);
                            break;
                        case 2:
                            i[u] = this.getOutputPacked2DCoords(e, o);
                            break;
                        case 3:
                            i[u] = this.getOutputPacked3DCoords(e, o);
                            break;
                        default:
                            i[u] = this.getOutputPackedNDCoords(e, o);
                    }
                    let n = `
      void setOutput(vec4 val) {
        ${q(this.context.glContext.version).output} = val;
      }
    `,
                        s = 'floatTextureSetRGBA';
                    return (i[s] = new R(n)), i;
                }
                getUnpackedOutputSamplingSnippet(t) {
                    let e = t.unpackedShape,
                        o = [t.width, t.height],
                        i = {},
                        u = 'getOutputCoords';
                    switch (e.length) {
                        case 0:
                            i[u] = this.getOutputScalarCoords();
                            break;
                        case 1:
                            i[u] = this.getOutputUnpacked1DCoords(e, o);
                            break;
                        case 2:
                            i[u] = this.getOutputUnpacked2DCoords(e, o);
                            break;
                        case 3:
                            i[u] = this.getOutputUnpacked3DCoords(e, o);
                            break;
                        case 4:
                            i[u] = this.getOutputUnpacked4DCoords(e, o);
                            break;
                        case 5:
                            i[u] = this.getOutputUnpacked5DCoords(e, o);
                            break;
                        case 6:
                            i[u] = this.getOutputUnpacked6DCoords(e, o);
                            break;
                        default:
                            throw new Error(`Unsupported output dimensionality: ${e.length}`);
                    }
                    let n = `
        void setOutput(float val) {
          ${q(this.context.glContext.version).output} = vec4(val, 0, 0, 0);
        }
    `,
                        s = 'floatTextureSetR';
                    return (i[s] = new R(n)), i;
                }
                getOutputScalarCoords() {
                    return new R(`
      int getOutputCoords() {
        return 0;
      }
    `);
                }
                getOutputPacked1DCoords(t, e) {
                    let o = e,
                        i = '';
                    return o[0] === 1
                        ? ((i = `
          int getOutputCoords() {
            return 2 * int(TexCoords.y * ${o[1]}.0);
          }
        `),
                          new R(i))
                        : o[1] === 1
                        ? ((i = `
          int getOutputCoords() {
            return 2 * int(TexCoords.x * ${o[0]}.0);
          }
        `),
                          new R(i))
                        : ((i = `
        int getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                 vec2(${o[0]}, ${o[1]}));
          return 2 * (resTexRC.y * ${o[0]} + resTexRC.x);
        }
      `),
                          new R(i));
                }
                getOutputPacked2DCoords(t, e) {
                    let o = '';
                    if (cr.arraysEqual(t, e))
                        return (
                            (o = `
        ivec2 getOutputCoords() {
          return 2 * ivec2(TexCoords.xy * vec2(${e[0]}, ${e[1]}));
        }
      `),
                            new R(o)
                        );
                    let i = e,
                        u = Math.ceil(t[1] / 2);
                    return (
                        (o = `
        ivec2 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${i[0]}, ${i[1]}));

          int index = resTexRC.y * ${i[0]} + resTexRC.x;

          // reverse r and c order for packed texture
          int r = imod(index, ${u}) * 2;
          int c = 2 * (index / ${u});

          return ivec2(r, c);
        }
      `),
                        new R(o)
                    );
                }
                getOutputPacked3DCoords(t, e) {
                    let o = [e[0], e[1]],
                        i = Math.ceil(t[2] / 2),
                        u = i * Math.ceil(t[1] / 2),
                        n = `
        ivec3 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${o[0]}, ${o[1]}));
          int index = resTexRC.y * ${o[0]} + resTexRC.x;

          int b = index / ${u};
          index -= b * ${u};

          // reverse r and c order for packed texture
          int r = imod(index, ${i}) * 2;
          int c = 2 * (index / ${i});

          return ivec3(b, r, c);
        }
      `;
                    return new R(n);
                }
                getOutputPackedNDCoords(t, e) {
                    let o = [e[0], e[1]],
                        i = Math.ceil(t[t.length - 1] / 2),
                        u = i * Math.ceil(t[t.length - 2] / 2),
                        n = u,
                        s = '',
                        d = 'b, r, c';
                    for (let r = 2; r < t.length - 1; r++)
                        (n *= t[t.length - r - 1]),
                            (s =
                                `
      int b${r} = index / ${n};
      index -= b${r} * ${n};
    ` + s),
                            (d = `b${r}, ` + d);
                    let f = `
      ivec${t.length} getOutputCoords() {
        ivec2 resTexRC = ivec2(TexCoords.xy *
                              vec2(${o[0]}, ${o[1]}));
        int index = resTexRC.y * ${o[0]} + resTexRC.x;

        ${s}

        int b = index / ${u};
        index -= b * ${u};

        // reverse r and c order for packed texture
        int r = imod(index, ${i}) * 2;
        int c = 2 * (index / ${i});

        return ivec${t.length}(${d});
      }
    `;
                    return new R(f);
                }
                getOutputUnpacked1DCoords(t, e) {
                    let o = `
        int getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${e[0]}, ${e[1]}));
          return resTexRC.y * ${e[0]} + resTexRC.x;
        }
      `;
                    return new R(o);
                }
                getOutputUnpacked2DCoords(t, e) {
                    let o = `
        ivec2 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${e[0]}, ${e[1]}));
          int index = resTexRC.y * ${e[0]} + resTexRC.x;
          int r = index / ${t[1]};
          int c = index - r * ${t[1]};
          return ivec2(r, c);
        }
      `;
                    return new R(o);
                }
                getOutputUnpacked3DCoords(t, e) {
                    let o = '',
                        i = t.length,
                        u = null;
                    i < 2 && (u = []), (u = new Array(i - 1)), (u[i - 2] = t[i - 1]);
                    for (let d = i - 3; d >= 0; --d) u[d] = u[d + 1] * t[d + 1];
                    let n = ['r', 'c', 'd'],
                        s = u
                            .map((d, f) => {
                                let r = `int ${n[f]} = index / ${d}`,
                                    a =
                                        f === u.length - 1
                                            ? `int ${n[f + 1]} = index - ${n[f]} * ${d}`
                                            : `index -= ${n[f]} * ${d}`;
                                return `${r}; ${a};`;
                            })
                            .join('');
                    return (
                        (o = `
        ivec3 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${e[0]}, ${e[1]}));
          int index = resTexRC.y * ${e[0]} + resTexRC.x;
          ${s}
          return ivec3(r, c, d);
        }
      `),
                        new R(o)
                    );
                }
                getOutputUnpacked4DCoords(t, e) {
                    let o = '',
                        i = t.length,
                        u = null;
                    i < 2 && (u = []), (u = new Array(i - 1)), (u[i - 2] = t[i - 1]);
                    for (let d = i - 3; d >= 0; --d) u[d] = u[d + 1] * t[d + 1];
                    let n = ['r', 'c', 'd', 'd2'],
                        s = u
                            .map((d, f) => {
                                let r = `int ${n[f]} = index / ${d}`,
                                    a =
                                        f === u.length - 1
                                            ? `int ${n[f + 1]} = index - ${n[f]} * ${d}`
                                            : `index -= ${n[f]} * ${d}`;
                                return `${r}; ${a};`;
                            })
                            .join('');
                    return (
                        (o = `
      ivec4 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${e[0]}, ${e[1]}));
          int index = resTexRC.y * ${e[0]} + resTexRC.x;
          ${s}
          return ivec4(r, c, d, d2);
        }
      `),
                        new R(o)
                    );
                }
                getOutputUnpacked5DCoords(t, e) {
                    let o = '',
                        i = t.length,
                        u = null;
                    i < 2 && (u = []), (u = new Array(i - 1)), (u[i - 2] = t[i - 1]);
                    for (let d = i - 3; d >= 0; --d) u[d] = u[d + 1] * t[d + 1];
                    let n = ['r', 'c', 'd', 'd2', 'd3'],
                        s = u
                            .map((d, f) => {
                                let r = `int ${n[f]} = index / ${d}`,
                                    a =
                                        f === u.length - 1
                                            ? `int ${n[f + 1]} = index - ${n[f]} * ${d}`
                                            : `index -= ${n[f]} * ${d}`;
                                return `${r}; ${a};`;
                            })
                            .join('');
                    return (
                        (o = `
      ivec5 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${e[0]}, ${e[1]}));
          int index = resTexRC.y * ${e[0]} + resTexRC.x;
          ${s}
          return ivec5(r, c, d, d2, d3);
        }
      `),
                        new R(o)
                    );
                }
                getOutputUnpacked6DCoords(t, e) {
                    let o = '',
                        i = t.length,
                        u = null;
                    i < 2 && (u = []), (u = new Array(i - 1)), (u[i - 2] = t[i - 1]);
                    for (let d = i - 3; d >= 0; --d) u[d] = u[d + 1] * t[d + 1];
                    let n = ['r', 'c', 'd', 'd2', 'd3', 'd4'],
                        s = u
                            .map((d, f) => {
                                let r = `int ${n[f]} = index / ${d}`,
                                    a =
                                        f === u.length - 1
                                            ? `int ${n[f + 1]} = index - ${n[f]} * ${d}`
                                            : `index -= ${n[f]} * ${d}`;
                                return `${r}; ${a};`;
                            })
                            .join('');
                    return (
                        (o = `
     ivec6 getOutputCoords() {
         ivec2 resTexRC = ivec2(TexCoords.xy *
                               vec2(${e[0]}, ${e[1]}));
         int index = resTexRC.y * ${e[0]} + resTexRC.x;
         ${s}
         return ivec6(r, c, d, d2, d3, d4);
       }
     `),
                        new R(o)
                    );
                }
                getCommonUtilFuncs() {
                    let t = {},
                        e = 'uvFromFlat';
                    (t[e] = new R(`
    vec2 uvFromFlat(int texNumR, int texNumC, int index) {
      int texC = index / texNumR;
      int texR = index - texC * texNumR;
      // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to
      //       v.
      return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC);
    }
    `)),
                        (e = 'packedUVfrom1D'),
                        (t[e] = new R(`
      vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {
        int texelIndex = index / 2;
        int texR = texelIndex / texNumC;
        int texC = texelIndex - texR * texNumC;
        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
      }
      `)),
                        (e = 'packedUVfrom2D'),
                        (t[e] = new R(`
      vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) {
        int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);
        int texR = texelIndex / texNumC;
        int texC = texelIndex - texR * texNumC;
        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
      }
      `)),
                        (e = 'packedUVfrom3D'),
                        (t[e] = new R(`
      vec2 packedUVfrom3D(int texNumR, int texNumC,
          int texelsInBatch, int texelsInLogicalRow, int b,
          int row, int col) {
        int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);
        int texR = index / texNumC;
        int texC = index - texR * texNumC;
        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
      }
      `)),
                        (e = 'sampleTexture');
                    let o = q(this.context.glContext.version);
                    return (
                        (t[e] = new R(`
        float sampleTexture(sampler2D textureSampler, vec2 uv) {
            return ${o.texture2D}(textureSampler, uv).r;
        }`)),
                        t
                    );
                }
                getInputsSamplingSnippets() {
                    let t = {},
                        e = this.context.outputTextureLayout;
                    return (
                        this.context.programInfo.inputNames.forEach((o, i) => {
                            let u = this.context.inputTextureLayouts[i],
                                n = Kn(o);
                            u.isPacked
                                ? (t[n] = this.getPackedSamplerFromInput(n, o, u))
                                : (t[n] = this.getUnpackedSamplerFromInput(n, o, u));
                            let s = Mu(o);
                            u.unpackedShape.length <= e.unpackedShape.length &&
                                (u.isPacked
                                    ? (t[s] = this.getPackedSamplerAtOutputCoords(s, u, e, o))
                                    : (t[s] = this.getUnpackedSamplerAtOutputCoords(s, u, e, o)));
                        }),
                        t
                    );
                }
                getPackedSamplerAtOutputCoords(t, e, o, i) {
                    let u = e.unpackedShape,
                        n = o.unpackedShape,
                        s = Kn(i),
                        d = u.length,
                        f = n.length,
                        r = Xe.getBroadcastDims(u, n),
                        a = Ke(f),
                        l = f - d,
                        p,
                        m = St();
                    d === 0
                        ? (p = '')
                        : f < 2 && r.length >= 1
                        ? (p = 'coords = 0;')
                        : (p = r.map((F) => `coords.${m[F + l]} = 0;`).join(`
`));
                    let y = '';
                    f < 2 && d > 0 ? (y = 'coords') : (y = u.map((F, B) => `coords.${m[B + l]}`).join(', '));
                    let T = 'return outputValue;',
                        v = U.size(u) === 1,
                        S = U.size(n) === 1;
                    if (d === 1 && !v && !S)
                        T = `
        return vec4(outputValue.xy, outputValue.xy);
      `;
                    else if (v && !S)
                        f === 1
                            ? (T = `
          return vec4(outputValue.x, outputValue.x, 0., 0.);
        `)
                            : (T = `
          return vec4(outputValue.x);
        `);
                    else if (r.length) {
                        let F = d - 2,
                            B = d - 1;
                        r.indexOf(F) > -1 && r.indexOf(B) > -1
                            ? (T = 'return vec4(outputValue.x);')
                            : r.indexOf(F) > -1
                            ? (T = 'return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);')
                            : r.indexOf(B) > -1 && (T = 'return vec4(outputValue.xx, outputValue.zz);');
                    }
                    let E = `
        int lastDim = coords.${m[f - 1]};
        coords.${m[f - 1]} = coords.${m[f - 2]};
        coords.${m[f - 2]} = lastDim;
      `,
                        A = `
      vec4 ${t}() {
        ${a} coords = getOutputCoords();
        ${E}
        ${p}
        vec4 outputValue = ${s}(${y});
        ${T}
      }
    `;
                    return new R(A, ['coordinates.getOutputCoords']);
                }
                getUnpackedSamplerAtOutputCoords(t, e, o, i) {
                    let u = [o.width, o.height],
                        n = [e.width, e.height],
                        s = e.unpackedShape.length,
                        d = o.unpackedShape.length,
                        f = e.unpackedShape,
                        r = o.unpackedShape,
                        a = Kn(i);
                    if (s === d && cr.arraysEqual(n, u)) {
                        let E = `
          float ${t}() {
            return sampleTexture(${i}, TexCoords);
          }
        `;
                        return new R(E, ['coordinates.sampleTexture']);
                    }
                    let l = Ke(d),
                        p = Xe.getBroadcastDims(f, r),
                        m = d - s,
                        y,
                        T = St();
                    s === 0
                        ? (y = '')
                        : d < 2 && p.length >= 1
                        ? (y = 'coords = 0;')
                        : (y = p.map((E) => `coords.${T[E + m]} = 0;`).join(`
`));
                    let v = '';
                    d < 2 && s > 0
                        ? (v = 'coords')
                        : (v = e.unpackedShape.map((E, A) => `coords.${T[A + m]}`).join(', '));
                    let S = `
        float ${t}() {
          ${l} coords = getOutputCoords();
          ${y}
          return ${a}(${v});
        }
      `;
                    return new R(S, ['coordinates.getOutputCoords']);
                }
                getPackedSamplerFromInput(t, e, o) {
                    switch (o.unpackedShape.length) {
                        case 0:
                            return this.getPackedSamplerScalar(t, e);
                        case 1:
                            return this.getPackedSampler1D(t, e, o);
                        case 2:
                            return this.getPackedSampler2D(t, e, o);
                        case 3:
                            return this.getPackedSampler3D(t, e, o);
                        default:
                            return this.getPackedSamplerND(t, e, o);
                    }
                }
                getUnpackedSamplerFromInput(t, e, o) {
                    let i = o.unpackedShape;
                    switch (i.length) {
                        case 0:
                            return this.getUnpackedSamplerScalar(t, e, o);
                        case 1:
                            return this.getUnpackedSampler1D(t, e, o);
                        case 2:
                            return this.getUnpackedSampler2D(t, e, o);
                        case 3:
                            return this.getUnpackedSampler3D(t, e, o);
                        case 4:
                            return this.getUnpackedSampler4D(t, e, o);
                        case 5:
                            return this.getUnpackedSampler5D(t, e, o);
                        case 6:
                            return this.getUnpackedSampler6D(t, e, o);
                        default:
                            throw new Error(`Unsupported dimension ${i.length}-D`);
                    }
                }
                getPackedSamplerScalar(t, e) {
                    let o = q(this.context.glContext.version),
                        i = `
          vec4 ${t}() {
            return ${o.texture2D}(${e}, halfCR);
          }
        `;
                    return new R(i);
                }
                getPackedSampler1D(t, e, o) {
                    let i = [o.width, o.height],
                        u = [i[1], i[0]],
                        n = q(this.context.glContext.version),
                        s = `vec4 ${t}(int index) {
      vec2 uv = packedUVfrom1D(
      ${u[0]}, ${u[1]}, index);
      return ${n.texture2D}(${e}, uv);
    }`;
                    return new R(s, ['coordinates.packedUVfrom1D']);
                }
                getPackedSampler2D(t, e, o) {
                    let i = o.unpackedShape,
                        u = [o.width, o.height],
                        n = q(this.context.glContext.version),
                        s = u[0],
                        d = u[1];
                    if (u != null && cr.arraysEqual(i, u)) {
                        let l = `vec4 ${t}(int row, int col) {
        vec2 uv = (vec2(col, row) + halfCR) / vec2(${d}.0, ${s}.0);
        return ${n.texture2D}(${e}, uv);
      }`;
                        return new R(l);
                    }
                    let f = u,
                        r = Math.ceil(i[1] / 2),
                        a = `vec4 ${t}(int row, int col) {
      vec2 uv = packedUVfrom2D(${f[1]}, ${f[0]}, ${r}, row, col);
      return ${n.texture2D}(${e}, uv);
    }`;
                    return new R(a, ['coordinates.packedUVfrom2D']);
                }
                getPackedSampler3D(t, e, o) {
                    let i = o.unpackedShape,
                        u = [o.width, o.height],
                        n = [u[0], u[1]],
                        s = q(this.context.glContext.version);
                    if (i[0] === 1) {
                        let p = i.slice(1),
                            m = [1, 2],
                            y = kr(i, p),
                            T = ['b', 'row', 'col'],
                            v = JSON.parse(JSON.stringify(o));
                        v.unpackedShape = y;
                        let S = this.getPackedSamplerFromInput(t, e, v),
                            E = `${S.routineBody}
      vec4 ${t}(int b, int row, int col) {
        return ${t}(${Br(T, m)});
      } `;
                        return new R(E, S.dependencies);
                    }
                    let d = n[0],
                        f = n[1],
                        r = Math.ceil(i[2] / 2),
                        a = r * Math.ceil(i[1] / 2),
                        l = `vec4 ${t}(int b, int row, int col) {
      vec2 uv = packedUVfrom3D(
        ${f}, ${d}, ${a}, ${r}, b, row, col);
      return ${s.texture2D}(${e}, uv);}`;
                    return new R(l, ['coordinates.packedUVfrom3D']);
                }
                getPackedSamplerND(t, e, o) {
                    let i = o.unpackedShape,
                        u = i.length,
                        n = [o.width, o.height],
                        s = q(this.context.glContext.version),
                        d = [n[0], n[1]],
                        f = d[1],
                        r = d[0],
                        a = Math.ceil(i[u - 1] / 2),
                        l = a * Math.ceil(i[u - 2] / 2),
                        p = 'int b, int row, int col',
                        m = `b * ${l} + (row / 2) * ${a} + (col / 2)`;
                    for (let T = 2; T < u - 1; T++)
                        (p = `int b${T}, ` + p), (l *= i[u - T - 1]), (m = `b${T} * ${l} + ` + m);
                    let y = `vec4 ${t}(${p}) {
      int index = ${m};
      int texR = index / ${r};
      int texC = index - texR * ${r};
      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${r}, ${f});
      return ${s.texture2D}(${e}, uv);
    }`;
                    return new R(y);
                }
                getUnpackedSamplerScalar(t, e, o) {
                    let [i, u] = [o.width, o.height];
                    if (i === 1 && u === 1) {
                        let s = `
          float ${t}() {
            return sampleTexture(${e}, halfCR);
          }
        `;
                        return new R(s, ['coordinates.sampleTexture']);
                    }
                    let n = `
        float ${t}() {
          int offset_${e} = coordsToOffset(TexCoords, ${i}, ${u});
          vec2 uv = uvFromFlat(${i}, ${u}, offset_${e});
          return sampleTexture(${e}, uv);
        }
      `;
                    return new R(n, [
                        'coordinates.uvFromFlat',
                        'coordinates.sampleTexture',
                        'coordinates.coordsToOffset',
                    ]);
                }
                getUnpackedSampler1D(t, e, o) {
                    let i = o.width,
                        u = o.height;
                    if (u === 1 && i === 1) {
                        let s = `
        float ${t}(int index) {
          return sampleTexture(${e}, halfCR);
        }
      `;
                        return new R(s, ['coordinates.sampleTexture']);
                    }
                    if (u === 1) {
                        let s = `
          float ${t}(int index) {
            vec2 uv = vec2((float(index) + 0.5) / ${i}.0, 0.5);
            return sampleTexture(${e}, uv);
          }
        `;
                        return new R(s, ['coordinates.sampleTexture']);
                    }
                    if (i === 1) {
                        let s = `
          float ${t}(int index) {
            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${u}.0);
            return sampleTexture(${e}, uv);
          }
        `;
                        return new R(s, ['coordinates.sampleTexture']);
                    }
                    let n = `
        float ${t}(int index) {
          vec2 uv = uvFromFlat(${i}, ${u}, index);
          return sampleTexture(${e}, uv);
        }
      `;
                    return new R(n, ['coordinates.uvFromFlat', 'coordinates.sampleTexture']);
                }
                getUnpackedSampler2D(t, e, o) {
                    let i = o.unpackedShape,
                        u = [o.height, o.width];
                    if (u != null && cr.arraysEqual(i, u)) {
                        let l = u[1],
                            p = u[0],
                            m = `
          float ${t}(int row, int col) {
            vec2 uv = (vec2(row, col) + halfCR) / vec2(${l}.0, ${p}.0);
            return sampleTexture(${e}, uv);
          }
        `;
                        return new R(m, ['coordinates.sampleTexture']);
                    }
                    let { newShape: n, keptDims: s } = Gr(i),
                        d = n;
                    if (d.length < i.length) {
                        let l = kr(i, d),
                            p = JSON.parse(JSON.stringify(o));
                        p.unpackedShape = l;
                        let m = ['col', 'row'],
                            y = `
          ${this.getUnpackedSamplerFromInput(t, e, p).routineBody}
          float ${t}(int row, int col) {
            return ${t}(${Br(m, s)});
          }
        `;
                        return new R(y, ['coordinates.sampleTexture']);
                    }
                    let f = u[1],
                        r = u[0];
                    if (r === 1) {
                        let l = `
          float ${t}(int row, int col) {
            int offset_${e} = coordsToOffset(TexCoords, ${f}, ${r});
            float index = dot(vec3(row, col, offset_${e}), vec3(${i[1]}, 1, 1));
            vec2 uv = vec2(0.5, (index + 0.5) / ${f}.0);
            return sampleTexture(${e}, uv);
          }
        `;
                        return new R(l, ['coordinates.sampleTexture', 'coordinates.coordsToOffset']);
                    }
                    if (f === 1) {
                        let l = `
          float ${t}(int row, int col) {
            int offset_${e} = coordsToOffset(TexCoords, ${f}, ${r});
            float index = dot(vec3(row, col, offset_${e}), vec3(${i[1]}, 1, 1));
            vec2 uv = vec2((index + 0.5) / ${r}.0, 0.5);
            return sampleTexture(${e}, uv);
          }
        `;
                        return new R(l, ['coordinates.sampleTexture', 'coordinates.coordsToOffset']);
                    }
                    let a = `
        float ${t}(int row, int col) {
          int index = col * ${i[1]} + row;
          vec2 uv = uvFromFlat(${f}, ${r}, index);
          return sampleTexture(${e}, uv);
        }
      `;
                    return new R(a, [
                        'coordinates.uvFromFlat',
                        'coordinates.sampleTexture',
                        'coordinates.coordsToOffset',
                    ]);
                }
                getUnpackedSampler3D(t, e, o) {
                    let i = o.unpackedShape,
                        u = i[1] * i[2],
                        n = i[2],
                        { newShape: s, keptDims: d } = Gr(i),
                        f = s;
                    if (f.length < i.length) {
                        let p = kr(i, f),
                            m = ['batch', 'col', 'row'],
                            y = JSON.parse(JSON.stringify(o));
                        y.unpackedShape = p;
                        let T = this.getUnpackedSamplerFromInput(t, e, y),
                            v = d.reverse(),
                            S = `
          ${T.routineBody}
          float ${t}(int batch, int row, int col) {
            return ${t}(${Br(m, v)});
          }
        `;
                        return new R(S, T.dependencies);
                    }
                    let r = o.width,
                        a = o.height,
                        l = `
          float ${t}(int depth, int row, int col) {
            // Explicitly use integer operations as dot() only works on floats.
            int index = depth * ${u} + col * ${n} + row;
            vec2 uv = uvFromFlat(${r}, ${a}, index);
            return sampleTexture(${e}, uv);
          }
      `;
                    return new R(l, [
                        'coordinates.uvFromFlat',
                        'coordinates.sampleTexture',
                        'coordinates.coordsToOffset',
                    ]);
                }
                getUnpackedSampler4D(t, e, o) {
                    let i = o.unpackedShape,
                        u = i[3],
                        n = i[2] * u,
                        s = i[1] * n,
                        d = o.width,
                        f = o.height,
                        r = `
        float ${t}(int row, int col, int depth, int depth2) {
          int index = row * ${s} + col * ${n} +
              depth2 * ${u} + depth;
          vec2 uv = uvFromFlat(${d}, ${f}, index);
          return sampleTexture(${e}, uv);
        }
      `;
                    return new R(r, ['coordinates.uvFromFlat', 'coordinates.sampleTexture']);
                }
                getUnpackedSampler5D(t, e, o) {
                    let i = o.unpackedShape,
                        u = i[4],
                        n = i[3] * u,
                        s = i[2] * n,
                        d = i[1] * s,
                        { newShape: f, keptDims: r } = Gr(i);
                    if (f.length < i.length) {
                        let m = kr(i, f),
                            y = ['row', 'col', 'depth', 'depth2', 'depth3'],
                            T = JSON.parse(JSON.stringify(o));
                        T.unpackedShape = m;
                        let v = `
          ${this.getUnpackedSamplerFromInput(t, e, T).routineBody}
          float ${t}(int row, int col, int depth, int depth2, int depth3) {
            return ${t}(${Br(y, r)});
          }
        `;
                        return new R(v, ['coordinates.sampleTexture', 'coordinates.uvFromFlat']);
                    }
                    let a = o.width,
                        l = o.height,
                        p = `
        float ${t}(int row, int col, int depth, int depth2, int depth3) {
          int index = row * ${d} + col * ${s} + depth * ${n} +
          depth3 * ${u} + depth2;
          vec2 uv = uvFromFlat(${a}, ${l}, index);
          return sampleTexture(${e}, uv);
        }
      `;
                    return new R(p, ['coordinates.sampleTexture', 'coordinates.uvFromFlat']);
                }
                getUnpackedSampler6D(t, e, o) {
                    let i = o.unpackedShape,
                        u = i[5],
                        n = i[4] * u,
                        s = i[3] * n,
                        d = i[2] * s,
                        f = i[1] * d,
                        { newShape: r, keptDims: a } = Gr(i);
                    if (r.length < i.length) {
                        let y = kr(i, r),
                            T = ['row', 'col', 'depth', 'depth2', 'depth3', 'depth4'],
                            v = JSON.parse(JSON.stringify(o));
                        v.unpackedShape = y;
                        let S = `
            ${this.getUnpackedSamplerFromInput(t, e, v).routineBody}
            float ${t}(int row, int col, int depth,
              int depth2, int depth3, int depth4) {
              return ${t}(${Br(T, a)});
            }
          `;
                        return new R(S, ['coordinates.sampleTexture', 'coordinates.uvFromFlat']);
                    }
                    let l = o.width,
                        p = o.height,
                        m = `
          float ${t}(int row, int col, int depth,
            int depth2, int depth3, int depth4) {
            int index = row * ${f} + col * ${d} + depth * ${s} +
            depth2 * ${n} + depth3 * ${u} + depth4;
            vec2 uv = uvFromFlat(${l}, ${p}, index);
            return sampleTexture(${e}, uv);
          }
        `;
                    return new R(m, [
                        'coordinates.uvFromFlat',
                        'coordinates.sampleTexture',
                        'coordinates.coordsToOffset',
                    ]);
                }
                toVec() {
                    let t = this.context.outputTextureLayout,
                        e = t.shape.length,
                        o = t.strides,
                        i = t.width,
                        u = t.height,
                        n = [];
                    for (let d = 0; d < e - 1; ++d)
                        n.push(`
        c[${d}] = offset / ${o[d]};`),
                            n.push(`
        offset -= c[${d}] * ${o[d]};`);
                    n.push(`
        c[${e - 1}] = offset;`);
                    let s = `
      void toVec(vec2 texCoords, out int c[${e}]) {
        int offset = coordsToOffset(texCoords, ${i}, ${u});
        ${n.join('')}
      }
      void toVec(int offset, out int c[${e}]) {
        ${n.join('')}
      }
    `;
                    return { toVec: new R(s, ['coordinates.coordsToOffset']) };
                }
                valueFrom() {
                    let t = {};
                    return (
                        this.context.programInfo.inputNames.forEach((e, o) => {
                            let i = this.context.inputTextureLayouts[o],
                                u = (i.unpackedShape.length > 0 ? i.unpackedShape : i.shape).length,
                                n = `_${e}`;
                            (t[n] = new R(this.getValueFromSingle(e, u, i.width, i.height, !1), [
                                `shapeUtils.indicesToOffset${n}`,
                                'coordinates.offsetToCoords',
                                'fragcolor.getColorAsFloat',
                            ])),
                                (n = n + '_T'),
                                (t[n] = new R(this.getValueFromSingle(e, u, i.width, i.height, !0), [
                                    `shapeUtils.indicesToOffset${n}`,
                                    'coordinates.offsetToCoords',
                                    'fragcolor.getColorAsFloat',
                                ]));
                        }),
                        t
                    );
                }
                getValueFromSingle(t, e, o, i, u) {
                    let n = `_${t}`;
                    u && (n = n + '_T');
                    let s = q(this.context.glContext.version);
                    return `
        float ${n}(int m[${e}]) {
          int offset = indicesToOffset${n}(m);
          vec2 coords = offsetToCoords(offset, ${o}, ${i});
          float value = getColorAsFloat(${s.texture2D}(${t}, coords));
          return value;
        }
        `;
                }
                getPackedValueFrom(t, e, o, i, u) {
                    let n = `_${t}_Pack`;
                    u && (n = n + '_T');
                    let s = q(this.context.glContext.version);
                    return `
        vec4 ${n}(int m[${e}]) {
          int offset = indicesToOffset_${t}(m);
          vec2 coords = offsetToCoords(offset, ${o}, ${i});
          return ${s.texture2D}(${t}, coords);
        }
        `;
                }
            });
    }),
    po,
    ep = L(() => {
        Vt(),
            (po = class Pn extends pt {
                constructor(e) {
                    super(e);
                }
                getFunctions() {
                    return { ...this.encodeFloat32(), ...this.decodeFloat32() };
                }
                getCustomTypes() {
                    return {};
                }
                encodeFloat32() {
                    return {
                        encode: new R(`highp vec4 encode(highp float f) {
        return vec4(f, 0.0, 0.0, 0.0);
      }
        `),
                    };
                }
                decodeFloat32() {
                    return {
                        decode: new R(`highp float decode(highp vec4 rgba) {
        return rgba.r;
      }
        `),
                    };
                }
                encodeUint8() {
                    let e = Pn.isLittleEndian() ? 'rgba.rgba=rgba.abgr;' : '';
                    return {
                        encode: new R(`
      highp vec4 encode(highp float f) {
        highp float F = abs(f);
        highp float Sign = step(0.0,-f);
        highp float Exponent = floor(log2(F));
        highp float Mantissa = (exp2(- Exponent) * F);
        Exponent = floor(log2(F) + 127.0) + floor(log2(Mantissa));
        highp vec4 rgba;
        rgba[0] = 128.0 * Sign  + floor(Exponent*exp2(-1.0));
        rgba[1] = 128.0 * mod(Exponent,2.0) + mod(floor(Mantissa*128.0),128.0);
        rgba[2] = floor(mod(floor(Mantissa*exp2(23.0 -8.0)),exp2(8.0)));
        rgba[3] = floor(exp2(23.0)*mod(Mantissa,exp2(-15.0)));
        ${e}
        rgba = rgba / 255.0; // values need to be normalized to [0,1]
        return rgba;
    }
        `),
                    };
                }
                decodeUint8() {
                    let e = Pn.isLittleEndian() ? 'rgba.rgba=rgba.abgr;' : '';
                    return {
                        decode: new R(`
        highp float decode(highp vec4 rgba) {
          rgba = rgba * 255.0; // values need to be de-normalized from [0,1] to [0,255]
          ${e}
          highp float Sign = 1.0 - step(128.0,rgba[0])*2.0;
          highp float Exponent = 2.0 * mod(rgba[0],128.0) + step(128.0,rgba[1]) - 127.0;
          highp float Mantissa = mod(rgba[1],128.0)*65536.0 + rgba[2]*256.0 +rgba[3] + float(0x800000);
          highp float Result =  Sign * exp2(Exponent) * (Mantissa * exp2(-23.0 ));
          return Result;
      }
        `),
                    };
                }
                static isLittleEndian() {
                    let e = new ArrayBuffer(4),
                        o = new Uint32Array(e),
                        i = new Uint8Array(e);
                    if (((o[0] = 3735928559), i[0] === 239)) return !0;
                    if (i[0] === 222) return !1;
                    throw new Error('unknown endianness');
                }
            });
    }),
    ho,
    tp = L(() => {
        Vt(),
            xe(),
            (ho = class extends pt {
                constructor(t) {
                    super(t);
                }
                getFunctions() {
                    return { ...this.setFragColor(), ...this.getColorAsFloat() };
                }
                getCustomTypes() {
                    return {};
                }
                setFragColor() {
                    let t = q(this.context.glContext.version);
                    return {
                        setFragColor: new R(
                            `
        void setFragColor(float value) {
            ${t.output} = encode(value);
        }
        `,
                            ['encoding.encode']
                        ),
                    };
                }
                getColorAsFloat() {
                    return {
                        getColorAsFloat: new R(
                            `
        float getColorAsFloat(vec4 color) {
            return decode(color);
        }
        `,
                            ['encoding.decode']
                        ),
                    };
                }
            });
    }),
    mo,
    rp = L(() => {
        Vt(),
            (mo = class wr extends pt {
                constructor(e) {
                    super(e);
                }
                getFunctions() {
                    return {
                        ...this.bcastIndex(),
                        ...this.bcastMatmulIndex(),
                        ...this.offsetToIndices(),
                        ...this.indicesToOffset(),
                        ...this.incrementIndices(),
                    };
                }
                getCustomTypes() {
                    return {};
                }
                bcastIndex() {
                    let e = this.context.outputTextureLayout.shape.length,
                        o = {};
                    return (
                        this.context.programInfo.inputNames.forEach((i, u) => {
                            let n = this.context.inputTextureLayouts[u].unpackedShape;
                            if (n.length <= e) {
                                let s = n.length,
                                    d = e - s,
                                    f = `bcastIndices_${i}`,
                                    r = '';
                                for (let l = 0; l < s; ++l)
                                    r += `
          realIndices[${l}] = int( mod(float(bcastedIndices[${d + l}]), ${n[l]}.0) );
          `;
                                let a = `
        void ${f} (int bcastedIndices[${e}], out int realIndices[${s}]) {
          ${r}
        }
        `;
                                o[f] = new R(a);
                            }
                        }),
                        o
                    );
                }
                bcastMatmulIndex() {
                    let e = this.context.outputTextureLayout.shape.length,
                        o = {};
                    return (
                        this.context.programInfo.inputNames.forEach((i, u) => {
                            let n = this.context.inputTextureLayouts[u].shape;
                            if (!(n.length < 2 || n.length > e)) {
                                let s = n.length,
                                    d = e - s,
                                    f = `bcastMatmulIndices_${i}`,
                                    r = '';
                                for (let l = 0; l < s - 2; ++l)
                                    r += `
          realIndices[${l}] = int( mod(float(bcastedIndices[${d + l}]), ${n[l]}.0) );
          `;
                                let a = `
        void ${f}(int bcastedIndices[${e}], out int realIndices[${s}]) {
          ${r}
          realIndices[${s - 1}] = bcastedIndices[${e - 1}];
          realIndices[${s - 2}] = bcastedIndices[${e - 2}];
        }
        `;
                                o[f] = new R(a);
                            }
                        }),
                        o
                    );
                }
                indicesToOffset() {
                    let e = {};
                    return (
                        this.context.programInfo.inputNames.forEach((o, i) => {
                            let u = this.context.inputTextureLayouts[i].shape,
                                n = this.context.inputTextureLayouts[i].strides,
                                s = u.length,
                                d = `indicesToOffset_${o}`;
                            (e[d] = new R(wr.indexToOffsetSingle(d, s, n))),
                                (d = `indicesToOffset_${o}_T`),
                                (e[d] = new R(wr.indexToOffsetSingle(d, s, n.slice().reverse())));
                        }),
                        e
                    );
                }
                static indexToOffsetSingle(e, o, i) {
                    let u = '';
                    for (let n = o - 1; n >= 0; --n)
                        u += `
        offset += indices[${n}] * ${i[n]};
        `;
                    return `
      int ${e}(int indices[${o}]) {
        int offset = 0;
        ${u}
        return offset;
      }
      `;
                }
                offsetToIndices() {
                    let e = {};
                    return (
                        this.context.programInfo.inputNames.forEach((o, i) => {
                            let u = this.context.inputTextureLayouts[i].shape,
                                n = this.context.inputTextureLayouts[i].strides,
                                s = u.length,
                                d = `offsetToIndices_${o}`;
                            (e[d] = new R(wr.offsetToIndicesSingle(d, s, n))),
                                (d = `offsetToIndices_${o}_T`),
                                (e[d] = new R(wr.offsetToIndicesSingle(d, s, n.slice().reverse())));
                        }),
                        e
                    );
                }
                static offsetToIndicesSingle(e, o, i) {
                    let u = [];
                    for (let n = 0; n < o - 1; ++n)
                        u.push(`
      indices[${n}] = offset / ${i[n]};`),
                            u.push(`
        offset -= indices[${n}] * ${i[n]};`);
                    return (
                        u.push(`
      indices[${o - 1}] = offset;`),
                        `
      void ${e}(int offset, out int indices[${o}]) {
        ${u.join('')}
      }
      `
                    );
                }
                incrementIndices() {
                    let e = {};
                    return (
                        this.context.programInfo.inputNames.forEach((o, i) => {
                            let u = this.context.inputTextureLayouts[i].shape,
                                n = u.length,
                                s = `incrementIndices_${o}`,
                                d = '';
                            for (let r = 0; r < n; ++r)
                                d += `
        shape[${r}] = ${u[r]};`;
                            let f = `
        void ${s}(int axis, out int indices[${n}]) {
          int shape[${n}];
          ${d};
          for(int i = ${n} -1 ; i >= 0; --i) {
            if(i > axis) continue;
            indices[i] += 1;
            if(indices[i] < shape[i]) {
              break;
            }
            indices[i] = 0;
          }
        }
        `;
                            e[s] = new R(f);
                        }),
                        e
                    );
                }
            });
    }),
    bo,
    np = L(() => {
        Vt(),
            (bo = class extends pt {
                constructor(t) {
                    super(t);
                }
                getCustomTypes() {
                    return {};
                }
                getFunctions() {
                    return {
                        ...this.binaryVecFunctions(),
                        ...this.copyVec(),
                        ...this.setVecItem(),
                        ...this.getVecItem(),
                    };
                }
                binaryVecFunctions() {
                    let t = this.context.outputTextureLayout.shape.length,
                        e = { add: '+=', sub: '-=', mul: '*=', div: '/=' },
                        o = {};
                    for (let i in e) {
                        let u = `${i}Vec`,
                            n = '';
                        for (let d = 0; d < t; ++d)
                            n += `
          dest[${d}] ${e[i]} src[${d}];
          `;
                        let s = `
        void ${u}(int src[${t}], out int dest[${t}]) {
          ${n}
        }
        `;
                        o[u] = new R(s);
                    }
                    return o;
                }
                copyVec() {
                    let t = this.context.outputTextureLayout.shape.length,
                        e = '';
                    for (let i = 0; i < t; ++i)
                        e += `
        dest[${i}] = src[${i}];
        `;
                    let o = `
      void copyVec(int src[${t}], out int dest[${t}]) {
        ${e}
      }
      `;
                    return { copyVec: new R(o) };
                }
                setVecItem() {
                    let t = this.context.outputTextureLayout.shape.length,
                        e = `
        if(index < 0)
            index =${t} + index;
        if (index == 0)
            m[0] = value;
        `;
                    for (let i = 1; i < t - 1; ++i)
                        e += `
        else if (index == ${i})
            m[${i}] = value;
            `;
                    e += `
        else
            m[${t - 1}] = value;
        `;
                    let o = `
      void setVecItem(out int m[${t}], int index, int value) {
        ${e}
      }
        `;
                    return { setVecItem: new R(o) };
                }
                getVecItem() {
                    let t = this.context.outputTextureLayout.shape.length,
                        e = `
        if(index < 0)
            index = ${t} + index;
        if (index == 0)
            return m[0];
      `;
                    for (let i = 1; i < t - 1; ++i)
                        e += `
        else if (index == ${i})
            return m[${i}];
      `;
                    e += `
        else
            return m[${t - 1}];
        `;
                    let o = `
      int getVecItem(int m[${t}], int index) {
        ${e}
      }
    `;
                    return { getVecItem: new R(o) };
                }
            });
    }),
    qi,
    op = L(() => {
        Qc(), ep(), tp(), rp(), np(), (qi = { encoding: po, fragcolor: ho, vec: bo, shapeUtils: mo, coordinates: co });
    }),
    go,
    ip = L(() => {
        Vt(),
            Jc(),
            op(),
            xe(),
            (go = class {
                constructor(t, e, o, i) {
                    (this.libs = {}),
                        (this.glslLibRoutineDependencyGraph = {}),
                        (this.context = new eo(t, e, o, i)),
                        Object.keys(qi).forEach((n) => {
                            let s = new qi[n](this.context);
                            this.libs[n] = s;
                        });
                    let u = this.glslLibRoutineDependencyGraph;
                    for (let n in this.libs) {
                        let s = this.libs[n].getFunctions();
                        for (let d in s) {
                            let f = n + '.' + d,
                                r;
                            u[f]
                                ? ((r = u[f]), (r.routineBody = s[d].routineBody))
                                : ((r = new cn(f, s[d].routineBody)), (u[f] = r));
                            let a = s[d].dependencies;
                            if (a)
                                for (let l = 0; l < a.length; ++l)
                                    if (u[a[l]]) r.addDependency(u[a[l]]);
                                    else {
                                        let p = new cn(a[l]);
                                        (u[a[l]] = p), r.addDependency(p);
                                    }
                        }
                    }
                }
                preprocess() {
                    let t = this.context.programInfo,
                        e = t.shaderSource;
                    return (
                        this.context.programInfo.hasMain ||
                            (e = `${e}
      ${Ru(this.context.glContext.version, this.context.outputTextureLayout.shape.length)}`),
                        (e = Kc(e)),
                        `${Nu(this.context.glContext.version)}
    ${this.getUniforms(t.inputNames, t.variables)}
    ${this.getImports(e)}
    ${e}`
                    );
                }
                getImports(t) {
                    let e = this.selectGlslLibRoutinesToBeIncluded(t);
                    if (e.length === 0) return '';
                    let o = '';
                    for (let i = 0; i < e.length; ++i)
                        if (e[i].routineBody)
                            o +=
                                e[i].routineBody +
                                `
`;
                        else throw new Error(`Missing body for the Glsl Library routine: ${e[i].name}`);
                    return o;
                }
                selectGlslLibRoutinesToBeIncluded(t) {
                    let e = [];
                    return (
                        Object.keys(this.glslLibRoutineDependencyGraph).forEach((o) => {
                            let i = o.split('.')[1];
                            t.indexOf(i) !== -1 && e.push(this.glslLibRoutineDependencyGraph[o]);
                        }),
                        to.returnOrderedNodes(e)
                    );
                }
                getUniforms(t, e) {
                    let o = [];
                    if (t) for (let i of t) o.push(`uniform sampler2D ${i};`);
                    if (e)
                        for (let i of e)
                            o.push(`uniform ${i.type} ${i.name}${i.arrayLength ? `[${i.arrayLength}]` : ''};`);
                    return o.join(`
`);
                }
            });
    }),
    yo,
    ap = L(() => {
        vt(),
            ut(),
            ip(),
            xe(),
            (yo = class {
                constructor(t, e, o) {
                    (this.profiler = t),
                        (this.glContext = e),
                        (this.textureLayoutStrategy = o),
                        (this.repo = new Map()),
                        (this.attributesBound = !1);
                }
                getArtifact(t) {
                    return this.repo.get(t);
                }
                setArtifact(t, e) {
                    this.repo.set(t, e);
                }
                run(t, e, o) {
                    this.profiler.event(
                        'op',
                        `ProgramManager.run ${t.programInfo.name ?? 'unknown kernel'}`,
                        () => {
                            let i = this.glContext.gl,
                                u = t.program;
                            i.useProgram(u);
                            try {
                                this.bindOutput(o),
                                    this.attributesBound || this.bindAttributes(t.attribLocations),
                                    this.bindUniforms(t.uniformLocations, t.programInfo.variables ?? [], e);
                            } catch (n) {
                                throw (ce.error('ProgramManager', t.programInfo.shaderSource), n);
                            }
                            this.profiler.event('backend', 'GlContext.draw()', () => {
                                this.glContext.draw();
                            });
                        },
                        this.glContext
                    );
                }
                dispose() {
                    this.vertexShader && this.glContext.deleteShader(this.vertexShader),
                        this.repo.forEach((t) => this.glContext.deleteProgram(t.program));
                }
                build(t, e, o) {
                    return this.profiler.event('backend', 'ProgramManager.build', () => {
                        let i = new go(this.glContext, t, e, o),
                            u = i.preprocess(),
                            n = this.compile(u);
                        return {
                            programInfo: t,
                            program: n,
                            uniformLocations: this.getUniformLocations(
                                n,
                                i.context.programInfo.inputNames,
                                i.context.programInfo.variables
                            ),
                            attribLocations: this.getAttribLocations(n),
                        };
                    });
                }
                compile(t) {
                    if (!this.vertexShader) {
                        ce.verbose('ProrgramManager', 'Compiling and caching Vertex shader for the first time');
                        let i = Bu(this.glContext.version);
                        this.vertexShader = this.glContext.compileShader(i, this.glContext.gl.VERTEX_SHADER);
                    }
                    Z.debug &&
                        ce.verbose(
                            'ProrgramManager',
                            `FragShader:
${t}
`
                        );
                    let e = this.glContext.compileShader(t, this.glContext.gl.FRAGMENT_SHADER),
                        o = this.glContext.createProgram(this.vertexShader, e);
                    return this.glContext.deleteShader(e), o;
                }
                bindOutput(t) {
                    let e = t.width,
                        o = t.height;
                    ce.verbose(
                        'ProrgramManager',
                        `Binding output texture to Framebuffer: w/h=${e}/${o}, shape=${t.shape}, type=${t.tensor.type}`
                    ),
                        this.glContext.attachFramebuffer(t.texture, e, o);
                }
                bindAttributes(t) {
                    let e = t.position,
                        o = t.textureCoord;
                    this.glContext.setVertexAttributes(e, o), (this.attributesBound = !0);
                }
                bindUniforms(t, e, o) {
                    let i = this.glContext.gl,
                        u = 0;
                    for (let { name: n, type: s, location: d, arrayLength: f } of t) {
                        let r = e.find((a) => a.name === n)?.data;
                        if (s !== 'sampler2D' && !r)
                            throw new Error(`variable '${n}' does not have data defined in program info`);
                        switch (s) {
                            case 'sampler2D':
                                this.bindTexture(o[u], d, u), u++;
                                break;
                            case 'float':
                                f ? i.uniform1fv(d, r) : i.uniform1f(d, r);
                                break;
                            case 'int':
                                f ? i.uniform1iv(d, r) : i.uniform1i(d, r);
                                break;
                            default:
                                throw new Error(`Uniform not implemented: ${s}`);
                        }
                    }
                }
                bindTexture(t, e, o) {
                    this.glContext.bindTextureToUniform(t.texture, o, e);
                }
                getAttribLocations(t) {
                    return {
                        position: this.getAttribLocation(t, 'position'),
                        textureCoord: this.getAttribLocation(t, 'textureCoord'),
                    };
                }
                getUniformLocations(t, e, o) {
                    let i = [];
                    if (e)
                        for (let u of e)
                            i.push({ name: u, type: 'sampler2D', location: this.getUniformLocation(t, u) });
                    if (o) for (let u of o) i.push({ ...u, location: this.getUniformLocation(t, u.name) });
                    return i;
                }
                getUniformLocation(t, e) {
                    let o = this.glContext.gl.getUniformLocation(t, e);
                    if (o === null) throw new Error(`Uniform ${e} not found.`);
                    return o;
                }
                getAttribLocation(t, e) {
                    return this.glContext.gl.getAttribLocation(t, e);
                }
            });
    }),
    To,
    sp = L(() => {
        ut(),
            ln(),
            (To = class {
                constructor(t, e, o, i) {
                    (this.glContext = t),
                        (this.layoutStrategy = e),
                        (this.profiler = o),
                        (this.config = i),
                        (this.pendingRead = new Map()),
                        i.reuseTextures &&
                            ((this.inUseTextures = new Map()),
                            (this.idleTextures = new Map()),
                            (this.textureLookup = new Map()));
                }
                createTextureFromLayout(t, e, o, i) {
                    let u = this.toEncoderType(t),
                        n = this.glContext.getEncoder(u, e.channels || 1, i);
                    if (e.isPacked && i === 1) throw new Error('not implemented');
                    let s = e.width,
                        d = e.height,
                        f,
                        r;
                    if (this.config.reuseTextures) {
                        (f = `${s}x${d}_${n.format}_${n.internalFormat}_${n.textureType}`),
                            (r = this.inUseTextures.get(f)),
                            r || ((r = []), this.inUseTextures.set(f, r));
                        let l = this.idleTextures.get(f);
                        if (l && l.length > 0) {
                            let p = l.pop();
                            return (
                                r.push(p),
                                i === 1 && this.glContext.updateTexture(p, s, d, n, this.toTextureData(t, o)),
                                p
                            );
                        }
                    }
                    ce.verbose('TextureManager', `Creating new texture of size ${e.width}x${e.height}`);
                    let a = this.glContext.allocateTexture(s, d, n, this.toTextureData(t, o));
                    return this.config.reuseTextures && (r.push(a), this.textureLookup.set(a, f)), a;
                }
                readTexture(t, e, o) {
                    return (
                        o || (o = 1),
                        this.profiler.event('backend', 'TextureManager.readTexture', () => {
                            let i = t.shape.reduce((n, s) => n * s) * o,
                                u = this.glContext.readTexture(
                                    t.texture,
                                    t.width,
                                    t.height,
                                    i,
                                    this.toEncoderType(e),
                                    o
                                );
                            return this.toTensorData(e, u);
                        })
                    );
                }
                async readTextureAsync(t, e, o) {
                    let i = t.tensor.dataId;
                    if ((o || (o = 1), this.pendingRead.has(i))) {
                        let u = this.pendingRead.get(i);
                        return new Promise((n) => u?.push(n));
                    }
                    return this.profiler.event('backend', 'TextureManager.readTextureAsync', async () => {
                        this.pendingRead.set(i, []);
                        let u = t.shape.reduce((f, r) => f * r) * o;
                        await this.glContext.createAndWaitForFence();
                        let n = this.glContext.readTexture(t.texture, t.width, t.height, u, this.toEncoderType(e), o),
                            s = this.toTensorData(e, n),
                            d = this.pendingRead.get(i);
                        return this.pendingRead.delete(i), d?.forEach((f) => f(s)), s;
                    });
                }
                readUint8TextureAsFloat(t) {
                    return this.profiler.event('backend', 'TextureManager.readUint8TextureAsFloat', () => {
                        let e = t.shape.reduce((i, u) => i * u),
                            o = this.glContext.readTexture(t.texture, t.width, t.height, e * 4, 'byte', 4);
                        return new Float32Array(o.buffer, o.byteOffset, e);
                    });
                }
                releaseTexture(t, e) {
                    let o;
                    if (this.config.reuseTextures && ((o = this.textureLookup.get(t.texture)), o)) {
                        e && this.textureLookup.delete(o);
                        let i = this.inUseTextures.get(o);
                        if (i) {
                            let u = i.indexOf(t.texture);
                            if (u !== -1) {
                                i.splice(u, 1);
                                let n = this.idleTextures.get(o);
                                n || ((n = []), this.idleTextures.set(o, n)), n.push(t.texture);
                            }
                        }
                    }
                    (!o || e) &&
                        (ce.verbose('TextureManager', `Deleting texture of size ${t.width}x${t.height}`),
                        this.glContext.deleteTexture(t.texture));
                }
                toTensorData(t, e) {
                    switch (t) {
                        case 'int16':
                            return e instanceof Int16Array ? e : Int16Array.from(e);
                        case 'int32':
                            return e instanceof Int32Array ? e : Int32Array.from(e);
                        case 'int8':
                            return e instanceof Int8Array ? e : Int8Array.from(e);
                        case 'uint16':
                            return e instanceof Uint16Array ? e : Uint16Array.from(e);
                        case 'uint32':
                            return e instanceof Uint32Array ? e : Uint32Array.from(e);
                        case 'uint8':
                        case 'bool':
                            return e instanceof Uint8Array ? e : Uint8Array.from(e);
                        case 'float32':
                            return e instanceof Float32Array ? e : Float32Array.from(e);
                        case 'float64':
                            return e instanceof Float64Array ? e : Float64Array.from(e);
                        default:
                            throw new Error(`TensorData type ${t} is not supported`);
                    }
                }
                toTextureData(t, e) {
                    if (e) return e instanceof Float32Array ? e : new Float32Array(e);
                }
                toEncoderType(t) {
                    return 'float';
                }
                clearActiveTextures() {
                    this.glContext.clearActiveTextures();
                }
            });
    }),
    xo,
    up = L(() => {
        ut(),
            ws(),
            Qu(),
            Yc(),
            ap(),
            Hi(),
            sp(),
            (xo = class {
                constructor(t, e) {
                    (this.backend = t),
                        (this.context = e),
                        (this.layoutStrategy = new fo(t.glContext.maxTextureSize)),
                        (this.programManager = new yo(this.context.profiler, t.glContext, this.layoutStrategy)),
                        (this.textureManager = new To(t.glContext, this.layoutStrategy, this.context.profiler, {
                            reuseTextures: t.textureCacheMode === 'full',
                        })),
                        (this.packedTextureDataCache = new Map()),
                        (this.unpackedTextureDataCache = new Map()),
                        (this.pack = t.pack),
                        (this.pack2unpackMap = new Map()),
                        (this.unpack2packMap = new Map());
                }
                createInferenceHandler() {
                    return new Qn(this);
                }
                onGraphInitialized(t) {
                    let e = t
                        .getValues()
                        .filter((o) => o.from === -1 && o.tensor)
                        .map((o) => o.tensor.dataId);
                    this.initializers = new Set(e);
                }
                isInitializer(t) {
                    return this.initializers ? this.initializers.has(t) : !1;
                }
                addInitializer(t) {
                    this.initializers.add(t);
                }
                getTextureData(t, e) {
                    return e ? this.packedTextureDataCache.get(t) : this.unpackedTextureDataCache.get(t);
                }
                setTextureData(t, e, o = !1) {
                    ce.verbose('WebGLSessionHandler', 'Storing Texture data in cache'),
                        o ? this.packedTextureDataCache.set(t, e) : this.unpackedTextureDataCache.set(t, e);
                }
                dispose() {
                    this.programManager.dispose(),
                        this.textureManager.clearActiveTextures(),
                        this.packedTextureDataCache.forEach((t) => this.textureManager.releaseTexture(t, !0)),
                        (this.packedTextureDataCache = new Map()),
                        this.unpackedTextureDataCache.forEach((t) => this.textureManager.releaseTexture(t, !0)),
                        (this.unpackedTextureDataCache = new Map());
                }
                resolve(t, e, o) {
                    let i = vs(t, e, jc);
                    return { impl: i.opImpl, context: i.opInit ? i.opInit(t, o) : t };
                }
            });
    });
function Hb(t) {
    let e = 0;
    for (; e < t.length && t[e](); ++e);
    return e - 1;
}
var hn,
    lp = L(() => {
        vt(),
            ln(),
            ln(),
            Ft(),
            (hn = class {
                constructor(t, e) {
                    (this.frameBufferBound = !1),
                        (this.itemsToPoll = []),
                        (this.gl = t),
                        (this.version = e),
                        this.getExtensions(),
                        (this.vertexbuffer = this.createVertexbuffer()),
                        (this.framebuffer = this.createFramebuffer()),
                        this.queryVitalParameters();
                }
                allocateTexture(t, e, o, i) {
                    let u = this.gl,
                        n = u.createTexture();
                    u.bindTexture(u.TEXTURE_2D, n),
                        u.texParameteri(u.TEXTURE_2D, u.TEXTURE_MIN_FILTER, u.NEAREST),
                        u.texParameteri(u.TEXTURE_2D, u.TEXTURE_MAG_FILTER, u.NEAREST),
                        u.texParameteri(u.TEXTURE_2D, u.TEXTURE_WRAP_S, u.CLAMP_TO_EDGE),
                        u.texParameteri(u.TEXTURE_2D, u.TEXTURE_WRAP_T, u.CLAMP_TO_EDGE);
                    let s = i ? o.encode(i, t * e) : null;
                    return (
                        u.texImage2D(u.TEXTURE_2D, 0, o.internalFormat, t, e, 0, o.format, o.textureType, s),
                        this.checkError(),
                        n
                    );
                }
                updateTexture(t, e, o, i, u) {
                    let n = this.gl;
                    n.bindTexture(n.TEXTURE_2D, t);
                    let s = i.encode(u, e * o);
                    n.texSubImage2D(n.TEXTURE_2D, 0, 0, 0, e, o, i.format, i.textureType, s), this.checkError();
                }
                attachFramebuffer(t, e, o) {
                    let i = this.gl;
                    i.bindTexture(i.TEXTURE_2D, t),
                        i.bindFramebuffer(i.FRAMEBUFFER, this.framebuffer),
                        i.framebufferTexture2D(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0, i.TEXTURE_2D, t, 0),
                        this.checkError(),
                        i.viewport(0, 0, e, o),
                        i.scissor(0, 0, e, o);
                }
                readTexture(t, e, o, i, u, n) {
                    let s = this.gl;
                    n || (n = 1), this.frameBufferBound || this.attachFramebuffer(t, e, o);
                    let d = this.getEncoder(u, n),
                        f = d.allocate(e * o);
                    return (
                        s.bindTexture(s.TEXTURE_2D, t),
                        s.framebufferTexture2D(s.FRAMEBUFFER, s.COLOR_ATTACHMENT0, s.TEXTURE_2D, t, 0),
                        s.readPixels(0, 0, e, o, s.RGBA, d.textureType, f),
                        this.checkError(),
                        d.decode(f, i)
                    );
                }
                isFramebufferReady() {
                    return !0;
                }
                getActiveTexture() {
                    let t = this.gl;
                    return `TEXTURE${t.getParameter(this.gl.ACTIVE_TEXTURE) - t.TEXTURE0}`;
                }
                getTextureBinding() {
                    return this.gl.getParameter(this.gl.TEXTURE_BINDING_2D);
                }
                getFramebufferBinding() {
                    return this.gl.getParameter(this.gl.FRAMEBUFFER_BINDING);
                }
                setVertexAttributes(t, e) {
                    let o = this.gl;
                    o.vertexAttribPointer(t, 3, o.FLOAT, !1, 20, 0),
                        o.enableVertexAttribArray(t),
                        e !== -1 && (o.vertexAttribPointer(e, 2, o.FLOAT, !1, 20, 12), o.enableVertexAttribArray(e)),
                        this.checkError();
                }
                createProgram(t, e) {
                    let o = this.gl,
                        i = o.createProgram();
                    return o.attachShader(i, t), o.attachShader(i, e), o.linkProgram(i), i;
                }
                compileShader(t, e) {
                    let o = this.gl,
                        i = o.createShader(e);
                    if (!i) throw new Error(`createShader() returned null with type ${e}`);
                    if ((o.shaderSource(i, t), o.compileShader(i), o.getShaderParameter(i, o.COMPILE_STATUS) === !1))
                        throw new Error(`Failed to compile shader: ${o.getShaderInfoLog(i)}
Shader source:
${t}`);
                    return i;
                }
                deleteShader(t) {
                    this.gl.deleteShader(t);
                }
                bindTextureToUniform(t, e, o) {
                    let i = this.gl;
                    i.activeTexture(i.TEXTURE0 + e),
                        this.checkError(),
                        i.bindTexture(i.TEXTURE_2D, t),
                        this.checkError(),
                        i.uniform1i(o, e),
                        this.checkError();
                }
                draw() {
                    this.gl.drawArrays(this.gl.TRIANGLE_STRIP, 0, 4), this.checkError();
                }
                checkError() {
                    if (Z.debug) {
                        let t = this.gl,
                            e = t.getError(),
                            o = '';
                        switch (e) {
                            case t.NO_ERROR:
                                return;
                            case t.INVALID_ENUM:
                                o = 'INVALID_ENUM';
                                break;
                            case t.INVALID_VALUE:
                                o = 'INVALID_VALUE';
                                break;
                            case t.INVALID_OPERATION:
                                o = 'INVALID_OPERATION';
                                break;
                            case t.INVALID_FRAMEBUFFER_OPERATION:
                                o = 'INVALID_FRAMEBUFFER_OPERATION';
                                break;
                            case t.OUT_OF_MEMORY:
                                o = 'OUT_OF_MEMORY';
                                break;
                            case t.CONTEXT_LOST_WEBGL:
                                o = 'CONTEXT_LOST_WEBGL';
                                break;
                            default:
                                o = `Unknown WebGL Error: ${e.toString(16)}`;
                        }
                        throw new Error(o);
                    }
                }
                deleteTexture(t) {
                    this.gl.deleteTexture(t);
                }
                deleteProgram(t) {
                    this.gl.deleteProgram(t);
                }
                getEncoder(t, e, o = 0) {
                    if (this.version === 2) return new Jn(this.gl, e);
                    switch (t) {
                        case 'float':
                            return o === 1 || this.isRenderFloat32Supported
                                ? new un(this.gl, e)
                                : new un(this.gl, e, this.textureHalfFloatExtension.HALF_FLOAT_OES);
                        case 'int':
                            throw new Error('not implemented');
                        case 'byte':
                            return new Zn(this.gl, e);
                        default:
                            throw new Error(`Invalid dataType: ${t}`);
                    }
                }
                clearActiveTextures() {
                    let t = this.gl;
                    for (let e = 0; e < this.maxTextureImageUnits; ++e)
                        t.activeTexture(t.TEXTURE0 + e), t.bindTexture(t.TEXTURE_2D, null);
                }
                dispose() {
                    if (this.disposed) return;
                    let t = this.gl;
                    t.bindFramebuffer(t.FRAMEBUFFER, null),
                        t.deleteFramebuffer(this.framebuffer),
                        t.bindBuffer(t.ARRAY_BUFFER, null),
                        t.deleteBuffer(this.vertexbuffer),
                        t.bindBuffer(t.ELEMENT_ARRAY_BUFFER, null),
                        t.finish(),
                        (this.disposed = !0);
                }
                createDefaultGeometry() {
                    return new Float32Array([-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]);
                }
                createVertexbuffer() {
                    let t = this.gl,
                        e = t.createBuffer();
                    if (!e) throw new Error('createBuffer() returned null');
                    let o = this.createDefaultGeometry();
                    return (
                        t.bindBuffer(t.ARRAY_BUFFER, e),
                        t.bufferData(t.ARRAY_BUFFER, o, t.STATIC_DRAW),
                        this.checkError(),
                        e
                    );
                }
                createFramebuffer() {
                    let t = this.gl.createFramebuffer();
                    if (!t) throw new Error('createFramebuffer returned null');
                    return t;
                }
                queryVitalParameters() {
                    let t = this.gl;
                    if (
                        ((this.isFloatTextureAttachableToFrameBuffer = this.checkFloatTextureAttachableToFrameBuffer()),
                        (this.isRenderFloat32Supported = this.checkRenderFloat32()),
                        (this.isFloat32DownloadSupported = this.checkFloat32Download()),
                        this.version === 1 && !this.textureHalfFloatExtension && !this.isRenderFloat32Supported)
                    )
                        throw new Error('both float32 and float16 TextureType are not supported');
                    (this.isBlendSupported = !this.isRenderFloat32Supported || this.checkFloat32Blend()),
                        (this.maxTextureSize = t.getParameter(t.MAX_TEXTURE_SIZE)),
                        (this.maxTextureImageUnits = t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)),
                        this.version;
                }
                getExtensions() {
                    this.version === 2
                        ? ((this.colorBufferFloatExtension = this.gl.getExtension('EXT_color_buffer_float')),
                          (this.disjointTimerQueryWebgl2Extension = this.gl.getExtension(
                              'EXT_disjoint_timer_query_webgl2'
                          )))
                        : ((this.textureFloatExtension = this.gl.getExtension('OES_texture_float')),
                          (this.textureHalfFloatExtension = this.gl.getExtension('OES_texture_half_float')));
                }
                checkFloatTextureAttachableToFrameBuffer() {
                    let t = this.gl,
                        e = t.createTexture();
                    t.bindTexture(t.TEXTURE_2D, e);
                    let o = this.version === 2 ? t.RGBA32F : t.RGBA;
                    t.texImage2D(t.TEXTURE_2D, 0, o, 1, 1, 0, t.RGBA, t.FLOAT, null);
                    let i = t.createFramebuffer();
                    t.bindFramebuffer(t.FRAMEBUFFER, i),
                        t.framebufferTexture2D(t.FRAMEBUFFER, t.COLOR_ATTACHMENT0, t.TEXTURE_2D, e, 0);
                    let u = t.checkFramebufferStatus(t.FRAMEBUFFER) === t.FRAMEBUFFER_COMPLETE;
                    return (
                        t.bindTexture(t.TEXTURE_2D, null),
                        t.bindFramebuffer(t.FRAMEBUFFER, null),
                        t.deleteTexture(e),
                        t.deleteFramebuffer(i),
                        u
                    );
                }
                checkRenderFloat32() {
                    if (this.version === 2) {
                        if (!this.colorBufferFloatExtension) return !1;
                    } else if (!this.textureFloatExtension) return !1;
                    return this.isFloatTextureAttachableToFrameBuffer;
                }
                checkFloat32Download() {
                    if (this.version === 2) {
                        if (!this.colorBufferFloatExtension) return !1;
                    } else if (!this.textureFloatExtension || !this.gl.getExtension('WEBGL_color_buffer_float'))
                        return !1;
                    return this.isFloatTextureAttachableToFrameBuffer;
                }
                checkFloat32Blend() {
                    let t = this.gl,
                        e,
                        o,
                        i,
                        u,
                        n;
                    try {
                        (e = t.createTexture()), (o = t.createFramebuffer()), t.bindTexture(t.TEXTURE_2D, e);
                        let s = this.version === 2 ? t.RGBA32F : t.RGBA;
                        return (
                            t.texImage2D(t.TEXTURE_2D, 0, s, 1, 1, 0, t.RGBA, t.FLOAT, null),
                            t.bindFramebuffer(t.FRAMEBUFFER, o),
                            t.framebufferTexture2D(t.FRAMEBUFFER, t.COLOR_ATTACHMENT0, t.TEXTURE_2D, e, 0),
                            t.enable(t.BLEND),
                            (i = t.createShader(t.VERTEX_SHADER)),
                            !i ||
                            (t.shaderSource(i, 'void main(){}'),
                            t.compileShader(i),
                            (u = t.createShader(t.FRAGMENT_SHADER)),
                            !u) ||
                            (t.shaderSource(u, 'precision highp float;void main(){gl_FragColor=vec4(0.5);}'),
                            t.compileShader(u),
                            (n = t.createProgram()),
                            !n)
                                ? !1
                                : (t.attachShader(n, i),
                                  t.attachShader(n, u),
                                  t.linkProgram(n),
                                  t.useProgram(n),
                                  t.drawArrays(t.POINTS, 0, 1),
                                  t.getError() === t.NO_ERROR)
                        );
                    } finally {
                        t.disable(t.BLEND),
                            n && t.deleteProgram(n),
                            i && t.deleteShader(i),
                            u && t.deleteShader(u),
                            o && (t.bindFramebuffer(t.FRAMEBUFFER, null), t.deleteFramebuffer(o)),
                            e && (t.bindTexture(t.TEXTURE_2D, null), t.deleteTexture(e));
                    }
                }
                beginTimer() {
                    if (this.version === 2 && this.disjointTimerQueryWebgl2Extension) {
                        let t = this.gl,
                            e = this.disjointTimerQueryWebgl2Extension,
                            o = t.createQuery();
                        return t.beginQuery(e.TIME_ELAPSED_EXT, o), o;
                    } else throw new Error('WebGL1 profiling currently not supported.');
                }
                endTimer() {
                    if (this.version === 2 && this.disjointTimerQueryWebgl2Extension) {
                        let t = this.gl,
                            e = this.disjointTimerQueryWebgl2Extension;
                        t.endQuery(e.TIME_ELAPSED_EXT);
                        return;
                    } else throw new Error('WebGL1 profiling currently not supported');
                }
                isTimerResultAvailable(t) {
                    let e = !1,
                        o = !1;
                    if (this.version === 2 && this.disjointTimerQueryWebgl2Extension) {
                        let i = this.gl,
                            u = this.disjointTimerQueryWebgl2Extension;
                        (e = i.getQueryParameter(t, i.QUERY_RESULT_AVAILABLE)),
                            (o = i.getParameter(u.GPU_DISJOINT_EXT));
                    } else throw new Error('WebGL1 profiling currently not supported');
                    return e && !o;
                }
                getTimerResult(t) {
                    let e = 0;
                    if (this.version === 2) {
                        let o = this.gl;
                        (e = o.getQueryParameter(t, o.QUERY_RESULT)), o.deleteQuery(t);
                    } else throw new Error('WebGL1 profiling currently not supported');
                    return e / 1e6;
                }
                async waitForQueryAndGetTime(t) {
                    return await gi(() => this.isTimerResultAvailable(t)), this.getTimerResult(t);
                }
                async createAndWaitForFence() {
                    let t = this.createFence(this.gl);
                    return this.pollFence(t);
                }
                createFence(t) {
                    let e,
                        o = t,
                        i = o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE, 0);
                    return (
                        t.flush(),
                        i === null
                            ? (e = () => !0)
                            : (e = () => {
                                  let u = o.clientWaitSync(i, 0, 0);
                                  return u === o.ALREADY_SIGNALED || u === o.CONDITION_SATISFIED;
                              }),
                        { query: i, isFencePassed: e }
                    );
                }
                async pollFence(t) {
                    return new Promise((e) => {
                        this.addItemToPoll(
                            () => t.isFencePassed(),
                            () => e()
                        );
                    });
                }
                pollItems() {
                    let t = Hb(this.itemsToPoll.map((e) => e.isDoneFn));
                    for (let e = 0; e <= t; ++e) {
                        let { resolveFn: o } = this.itemsToPoll[e];
                        o();
                    }
                    this.itemsToPoll = this.itemsToPoll.slice(t + 1);
                }
                async addItemToPoll(t, e) {
                    this.itemsToPoll.push({ isDoneFn: t, resolveFn: e }),
                        !(this.itemsToPoll.length > 1) &&
                            (await gi(() => (this.pollItems(), this.itemsToPoll.length === 0)));
                }
            });
    });
function ji(t) {
    let e;
    if (
        ((!t || t === 'webgl2') && 'webgl2' in Ur
            ? (e = Ur.webgl2)
            : (!t || t === 'webgl') && 'webgl' in Ur && (e = Ur.webgl),
        !e)
    )
        try {
            let i = jb();
            e = fp(i, t);
        } catch {
            let i = qb();
            e = fp(i, t);
        }
    t = t || e.version === 1 ? 'webgl' : 'webgl2';
    let o = e.gl;
    return (
        (Ur[t] = e),
        o.isContextLost()
            ? (delete Ur[t], ji(t))
            : (o.disable(o.DEPTH_TEST),
              o.disable(o.STENCIL_TEST),
              o.disable(o.BLEND),
              o.disable(o.DITHER),
              o.disable(o.POLYGON_OFFSET_FILL),
              o.disable(o.SAMPLE_COVERAGE),
              o.enable(o.SCISSOR_TEST),
              o.enable(o.CULL_FACE),
              o.cullFace(o.BACK),
              e)
    );
}
function fp(t, e) {
    let o = {
            alpha: !1,
            depth: !1,
            antialias: !1,
            stencil: !1,
            preserveDrawingBuffer: !1,
            premultipliedAlpha: !1,
            failIfMajorPerformanceCaveat: !1,
        },
        i,
        u = o;
    if ((!e || e === 'webgl2') && ((i = t.getContext('webgl2', u)), i))
        try {
            return new hn(i, 2);
        } catch (n) {
            ce.warning('GlContextFactory', `failed to create WebGLContext using contextId 'webgl2'. Error: ${n}`);
        }
    if ((!e || e === 'webgl') && ((i = t.getContext('webgl', u) || t.getContext('experimental-webgl', u)), i))
        try {
            return new hn(i, 1);
        } catch (n) {
            ce.warning(
                'GlContextFactory',
                `failed to create WebGLContext using contextId 'webgl' or 'experimental-webgl'. Error: ${n}`
            );
        }
    throw new Error('WebGL is not supported');
}
function qb() {
    if (typeof document > 'u') throw new TypeError('failed to create canvas: document is not supported');
    let t = document.createElement('canvas');
    return (t.width = 1), (t.height = 1), t;
}
function jb() {
    if (typeof OffscreenCanvas > 'u')
        throw new TypeError('failed to create offscreen canvas: OffscreenCanvas is not supported');
    return new OffscreenCanvas(1, 1);
}
var Ur,
    cp = L(() => {
        ut(), lp(), (Ur = {});
    }),
    vo,
    pp = L(() => {
        vt(),
            ut(),
            up(),
            cp(),
            (vo = class {
                get contextId() {
                    return Z.webgl.contextId;
                }
                set contextId(t) {
                    Z.webgl.contextId = t;
                }
                get matmulMaxBatchSize() {
                    return Z.webgl.matmulMaxBatchSize;
                }
                set matmulMaxBatchSize(t) {
                    Z.webgl.matmulMaxBatchSize = t;
                }
                get textureCacheMode() {
                    return Z.webgl.textureCacheMode;
                }
                set textureCacheMode(t) {
                    Z.webgl.textureCacheMode = t;
                }
                get pack() {
                    return Z.webgl.pack;
                }
                set pack(t) {
                    Z.webgl.pack = t;
                }
                get async() {
                    return Z.webgl.async;
                }
                set async(t) {
                    Z.webgl.async = t;
                }
                initialize() {
                    try {
                        return (
                            (this.glContext = ji(this.contextId)),
                            typeof this.matmulMaxBatchSize != 'number' && (this.matmulMaxBatchSize = 16),
                            typeof this.textureCacheMode != 'string' && (this.textureCacheMode = 'full'),
                            typeof this.pack != 'boolean' && (this.pack = !1),
                            typeof this.async != 'boolean' && (this.async = !1),
                            ce.setWithEnv(Z),
                            Z.webgl.context || Object.defineProperty(Z.webgl, 'context', { value: this.glContext.gl }),
                            ce.verbose(
                                'WebGLBackend',
                                `Created WebGLContext: ${typeof this.glContext} with matmulMaxBatchSize: ${
                                    this.matmulMaxBatchSize
                                }; textureCacheMode: ${this.textureCacheMode}; pack: ${this.pack}; async: ${
                                    this.async
                                }.`
                            ),
                            !0
                        );
                    } catch (t) {
                        return ce.warning('WebGLBackend', `Unable to initialize WebGLBackend. ${t}`), !1;
                    }
                }
                createSessionHandler(t) {
                    return new xo(this, t);
                }
                dispose() {
                    this.glContext.dispose();
                }
            });
    });
async function Yi(t) {
    if (t) {
        let e = typeof t == 'string' ? [t] : t;
        for (let o of e) {
            let i = dp.get(o);
            if (i) return i;
            let u = await Xb(o);
            if (u) return u;
        }
    } else return Yi(['webgl']);
    throw new Error('no available backend to use');
}
async function Xb(t) {
    let e = Yb;
    if (typeof e[t] < 'u' && Kb(e[t])) {
        let o = e[t],
            i = o.initialize();
        if ((typeof i == 'object' && 'then' in i && (i = await i), i)) return dp.set(t, o), o;
    }
}
function Kb(t) {
    let e = t;
    return (
        'initialize' in e &&
        typeof e.initialize == 'function' &&
        'createSessionHandler' in e &&
        typeof e.createSessionHandler == 'function' &&
        'dispose' in e &&
        typeof e.dispose == 'function'
    );
}
var dp,
    Yb,
    hp = L(() => {
        pp(), (dp = new Map()), (Yb = { webgl: new vo() });
    }),
    Xi,
    wo,
    mp = L(() => {
        ut(),
            (Xi = class {
                constructor(t, e) {
                    (this.op = t), (this.node = e);
                }
            }),
            (wo = class {
                constructor(t, e, o) {
                    (this.graph = t), (this.profiler = o), this.initialize(e);
                }
                initialize(t) {
                    this.profiler.event('session', 'ExecutionPlan.initialize', () => {
                        let e = this.graph.getNodes();
                        if (e.length !== t.length) throw new Error('The size of nodes and OPs do not match.');
                        (this._ops = t.map((o, i) => new Xi(o, e[i]))),
                            this.reset(),
                            (this._starter = []),
                            this._ops.forEach((o, i) => {
                                let u = !0;
                                for (let n of o.node.inputs)
                                    if (!this._values[n] && this.graph.getInputIndices().indexOf(n) === -1) {
                                        u = !1;
                                        break;
                                    }
                                u && this._starter.push(i);
                            });
                    });
                }
                reset() {
                    this._values = this.graph.getValues().map((t) => t.tensor);
                }
                async execute(t, e) {
                    return this.profiler.event('session', 'ExecutionPlan.execute', async () => {
                        this.reset();
                        let o = t.createInferenceHandler(),
                            i = this.graph.getInputIndices();
                        if (e.length !== i.length)
                            throw new Error(
                                `number of input tensors don't match the number of inputs to the model: actual: ${e.length} expected: ${i.length}`
                            );
                        e.forEach((r, a) => {
                            let l = i[a];
                            this._values[l] = r;
                        });
                        let u = this._starter.slice(0),
                            n = this.graph.getValues(),
                            s = this.graph.getNodes(),
                            d = 0;
                        for (; d < u.length; ) {
                            let r = u[d++],
                                a = this._ops[r],
                                l = a.node.inputs.map((T) => this._values[T]);
                            if (l.indexOf(void 0) !== -1) throw new Error(`unresolved input detected: op: ${a.node}`);
                            let p = l;
                            ce.verbose(
                                'ExecPlan',
                                `Runing op:${a.node.name} (${p
                                    .map((T, v) => `'${a.node.inputs[v]}': ${T.type}[${T.dims.join(',')}]`)
                                    .join(', ')})`
                            );
                            let m = await this.profiler.event('node', a.node.name, async () =>
                                a.op.impl(o, p, a.op.context)
                            );
                            if (m.length !== a.node.outputs.length)
                                throw new Error('the size of output does not match model definition.');
                            m.forEach((T, v) => {
                                let S = a.node.outputs[v];
                                if (this._values[S])
                                    throw new Error(`output [${S}] already has value: op:${a.node.name}`);
                                this._values[S] = T;
                            });
                            let y = new Set();
                            m.forEach((T, v) => {
                                let S = a.node.outputs[v];
                                for (let E of n[S].to) {
                                    let A = s[E],
                                        F = !0;
                                    for (let B of A.inputs)
                                        if (!this._values[B]) {
                                            F = !1;
                                            break;
                                        }
                                    F && y.add(E);
                                }
                            }),
                                u.push(...y);
                        }
                        let f = [];
                        for (let r = 0; r < this.graph.getOutputIndices().length; r++) {
                            let a = this.graph.getOutputIndices()[r],
                                l = this._values[a];
                            if (l === void 0) throw new Error(`required output [${a}] does not have value`);
                            a === 0 ? await l.getData() : l.data, f.push(l);
                        }
                        return ce.verbose('ExecPlan', 'disposing of inferenceHandler'), o.dispose(), f;
                    });
                }
            });
    }),
    oe,
    mt,
    mn,
    bp = L(() => {
        tn(),
            (oe = Er($r())),
            mr(),
            fe(),
            (mt = W.experimental.fbs),
            (mn = class vr {
                constructor(e) {
                    if (((this._attributes = new Map()), e != null)) {
                        for (let o of e)
                            o instanceof oe.onnx.AttributeProto
                                ? this._attributes.set(o.name, [vr.getValue(o), vr.getType(o)])
                                : o instanceof mt.Attribute &&
                                  this._attributes.set(o.name(), [vr.getValue(o), vr.getType(o)]);
                        if (this._attributes.size < e.length) throw new Error('duplicated attribute names');
                    }
                }
                set(e, o, i) {
                    this._attributes.set(e, [i, o]);
                }
                delete(e) {
                    this._attributes.delete(e);
                }
                getFloat(e, o) {
                    return this.get(e, 'float', o);
                }
                getInt(e, o) {
                    return this.get(e, 'int', o);
                }
                getString(e, o) {
                    return this.get(e, 'string', o);
                }
                getTensor(e, o) {
                    return this.get(e, 'tensor', o);
                }
                getFloats(e, o) {
                    return this.get(e, 'floats', o);
                }
                getInts(e, o) {
                    return this.get(e, 'ints', o);
                }
                getStrings(e, o) {
                    return this.get(e, 'strings', o);
                }
                getTensors(e, o) {
                    return this.get(e, 'tensors', o);
                }
                get(e, o, i) {
                    let u = this._attributes.get(e);
                    if (u === void 0) {
                        if (i !== void 0) return i;
                        throw new Error(`required attribute not found: ${e}`);
                    }
                    if (u[1] !== o) throw new Error(`type mismatch: expected ${o} but got ${u[1]}`);
                    return u[0];
                }
                static getType(e) {
                    let o = e instanceof oe.onnx.AttributeProto ? e.type : e.type();
                    switch (o) {
                        case oe.onnx.AttributeProto.AttributeType.FLOAT:
                            return 'float';
                        case oe.onnx.AttributeProto.AttributeType.INT:
                            return 'int';
                        case oe.onnx.AttributeProto.AttributeType.STRING:
                            return 'string';
                        case oe.onnx.AttributeProto.AttributeType.TENSOR:
                            return 'tensor';
                        case oe.onnx.AttributeProto.AttributeType.FLOATS:
                            return 'floats';
                        case oe.onnx.AttributeProto.AttributeType.INTS:
                            return 'ints';
                        case oe.onnx.AttributeProto.AttributeType.STRINGS:
                            return 'strings';
                        case oe.onnx.AttributeProto.AttributeType.TENSORS:
                            return 'tensors';
                        default:
                            throw new Error(
                                `attribute type is not supported yet: ${oe.onnx.AttributeProto.AttributeType[o]}`
                            );
                    }
                }
                static getValue(e) {
                    let o = e instanceof oe.onnx.AttributeProto ? e.type : e.type();
                    if (
                        o === oe.onnx.AttributeProto.AttributeType.GRAPH ||
                        o === oe.onnx.AttributeProto.AttributeType.GRAPHS
                    )
                        throw new Error('graph attribute is not supported yet');
                    let i = this.getValueNoCheck(e);
                    if (o === oe.onnx.AttributeProto.AttributeType.INT && nt.isLong(i)) return nt.longToNumber(i);
                    if (o === oe.onnx.AttributeProto.AttributeType.INTS) {
                        let u = i,
                            n = new Array(u.length);
                        for (let s = 0; s < u.length; s++) {
                            let d = u[s];
                            n[s] = nt.longToNumber(d);
                        }
                        return n;
                    }
                    if (o === oe.onnx.AttributeProto.AttributeType.TENSOR)
                        return e instanceof oe.onnx.AttributeProto ? Fe.fromProto(i) : Fe.fromOrtTensor(i);
                    if (o === oe.onnx.AttributeProto.AttributeType.TENSORS) {
                        if (e instanceof oe.onnx.AttributeProto) return i.map((u) => Fe.fromProto(u));
                        if (e instanceof mt.Attribute) return i.map((u) => Fe.fromOrtTensor(u));
                    }
                    return o === oe.onnx.AttributeProto.AttributeType.STRING && e instanceof oe.onnx.AttributeProto
                        ? sn(i)
                        : o === oe.onnx.AttributeProto.AttributeType.STRINGS && e instanceof oe.onnx.AttributeProto
                        ? i.map(sn)
                        : i;
                }
                static getValueNoCheck(e) {
                    return e instanceof oe.onnx.AttributeProto
                        ? this.getValueNoCheckFromOnnxFormat(e)
                        : this.getValueNoCheckFromOrtFormat(e);
                }
                static getValueNoCheckFromOnnxFormat(e) {
                    switch (e.type) {
                        case oe.onnx.AttributeProto.AttributeType.FLOAT:
                            return e.f;
                        case oe.onnx.AttributeProto.AttributeType.INT:
                            return e.i;
                        case oe.onnx.AttributeProto.AttributeType.STRING:
                            return e.s;
                        case oe.onnx.AttributeProto.AttributeType.TENSOR:
                            return e.t;
                        case oe.onnx.AttributeProto.AttributeType.GRAPH:
                            return e.g;
                        case oe.onnx.AttributeProto.AttributeType.FLOATS:
                            return e.floats;
                        case oe.onnx.AttributeProto.AttributeType.INTS:
                            return e.ints;
                        case oe.onnx.AttributeProto.AttributeType.STRINGS:
                            return e.strings;
                        case oe.onnx.AttributeProto.AttributeType.TENSORS:
                            return e.tensors;
                        case oe.onnx.AttributeProto.AttributeType.GRAPHS:
                            return e.graphs;
                        default:
                            throw new Error(
                                `unsupported attribute type: ${oe.onnx.AttributeProto.AttributeType[e.type]}`
                            );
                    }
                }
                static getValueNoCheckFromOrtFormat(e) {
                    switch (e.type()) {
                        case mt.AttributeType.FLOAT:
                            return e.f();
                        case mt.AttributeType.INT:
                            return e.i();
                        case mt.AttributeType.STRING:
                            return e.s();
                        case mt.AttributeType.TENSOR:
                            return e.t();
                        case mt.AttributeType.GRAPH:
                            return e.g();
                        case mt.AttributeType.FLOATS:
                            return e.floatsArray();
                        case mt.AttributeType.INTS: {
                            let o = [];
                            for (let i = 0; i < e.intsLength(); i++) o.push(e.ints(i));
                            return o;
                        }
                        case mt.AttributeType.STRINGS: {
                            let o = [];
                            for (let i = 0; i < e.stringsLength(); i++) o.push(e.strings(i));
                            return o;
                        }
                        case mt.AttributeType.TENSORS: {
                            let o = [];
                            for (let i = 0; i < e.tensorsLength(); i++) o.push(e.tensors(i));
                            return o;
                        }
                        default:
                            throw new Error(`unsupported attribute type: ${mt.AttributeType[e.type()]}`);
                    }
                }
            });
    }),
    Ji,
    _o,
    Zi,
    kt,
    Oo,
    Ki,
    gp = L(() => {
        bp(),
            tn(),
            (Ji = Er($r())),
            mr(),
            fe(),
            (_o = W.experimental.fbs),
            (Zi = { from: (t, e) => new Ki(t, e) }),
            (kt = class {
                constructor(t) {
                    (this._from = void 0),
                        (this._to = []),
                        (this.tensor = void 0),
                        (this.type = void 0),
                        t && (this.type = Ve.tensorValueTypeFromProto(t.type.tensorType));
                }
                get from() {
                    return this._from;
                }
                get to() {
                    return this._to;
                }
            }),
            (Oo = class {
                constructor(t, e) {
                    t instanceof Ji.onnx.NodeProto
                        ? ((this.name = t.name), (this.opType = t.opType), (this.attributes = new mn(t.attribute)))
                        : t instanceof _o.Node &&
                          ((this.name = e ?? t.name()),
                          (this.opType = t.opType()),
                          (this.attributes = new mn(Ve.tensorAttributesFromORTFormat(t)))),
                        (this.inputs = []),
                        (this.outputs = []),
                        (this.executeNode = !0);
                }
            }),
            (Ki = class {
                constructor(t, e) {
                    if (!t) throw new TypeError('graph is empty');
                    this.buildGraph(t), this.transformGraph(e), this.checkIsAcyclic();
                }
                getInputIndices() {
                    return this._allInputIndices;
                }
                getInputNames() {
                    return this._allInputNames;
                }
                getOutputIndices() {
                    return this._allOutputIndices;
                }
                getOutputNames() {
                    return this._allOutputNames;
                }
                getValues() {
                    return this._allData;
                }
                getNodes() {
                    return this._nodes;
                }
                buildGraph(t) {
                    if (t instanceof Ji.onnx.GraphProto) this.buildGraphFromOnnxFormat(t);
                    else if (t instanceof _o.Graph) this.buildGraphFromOrtFormat(t);
                    else throw new TypeError('Graph type is not supported.');
                }
                buildGraphFromOnnxFormat(t) {
                    let e = new Map();
                    (this._allData = []),
                        (this._allInputIndices = []),
                        (this._allInputNames = []),
                        (this._allOutputIndices = []),
                        (this._allOutputNames = []),
                        (this._nodes = []);
                    let o = new Map();
                    if (!t.input) throw new Error('missing information in graph: input');
                    let i = [];
                    for (let u of t.input) {
                        if (e.has(u.name)) throw new Error(`duplicated input name: ${u.name}`);
                        let n = this._allData.push(new kt(u)) - 1;
                        e.set(u.name, n), i.push(u.name);
                    }
                    if (!t.initializer) throw new Error('missing information in graph: initializer');
                    for (let u of t.initializer) {
                        let n = e.get(u.name);
                        if (n === void 0) {
                            let s = new kt();
                            (s.type = {
                                shape: { dims: Ve.tensorDimsFromProto(u.dims) },
                                tensorType: Ve.tensorDataTypeFromProto(u.dataType),
                            }),
                                (n = this._allData.push(s) - 1),
                                e.set(u.name, n);
                        }
                        (this._allData[n]._from = -1), (this._allData[n].tensor = Fe.fromProto(u));
                    }
                    for (let u = 0; u < this._allData.length; u++)
                        this._allData[u].tensor || (this._allInputIndices.push(u), this._allInputNames.push(i[u]));
                    if (!t.output) throw new Error('missing information in graph: output');
                    for (let u of t.output) {
                        if (e.has(u.name)) throw new Error(`duplicated output name: ${u.name}`);
                        let n = this._allData.push(new kt(u)) - 1;
                        e.set(u.name, n), this._allOutputIndices.push(n), this._allOutputNames.push(u.name);
                    }
                    if (!t.node) throw new Error('missing information in graph: node');
                    for (let u of t.node) {
                        if (!u.name)
                            for (let s = 0; ; s++) {
                                let d = `unnamed_${u.opType}_${s}`;
                                if (!o.has(d)) {
                                    u.name = d;
                                    break;
                                }
                            }
                        if (o.has(u.name)) throw new Error(`duplicated node name: ${u.name}`);
                        let n = this._nodes.push(new Oo(u)) - 1;
                        o.set(u.name, n);
                    }
                    for (let u = 0; u < this._nodes.length; u++) {
                        let n = this._nodes[u],
                            s = t.node[u];
                        if (!s.output) throw new Error(`missing output for node: ${s.name}`);
                        for (let d of s.output) {
                            let f = e.get(d);
                            if (
                                (typeof f > 'u' && ((f = this._allData.push(new kt()) - 1), e.set(d, f)),
                                n.outputs.push(f),
                                this._allData[f]._from !== void 0)
                            )
                                throw new Error(`multiple nodes output to one data value: ${f}`);
                            if (((this._allData[f]._from = u), s.opType === 'Constant')) {
                                if (!s.attribute || s.attribute.length !== 1 || !s.attribute[0].t)
                                    throw new Error(
                                        'missing attributes or missing tensor value in attributes for this Constant operator'
                                    );
                                if (!s.output || s.output.length !== 1)
                                    throw new Error(
                                        'missing output or incorrect number of outputs for this Constant operator'
                                    );
                                n.outputs.pop(),
                                    (n.executeNode = !1),
                                    (this._allData[f]._from = -1),
                                    (this._allData[f].tensor = Fe.fromProto(s.attribute[0].t));
                            }
                        }
                    }
                    for (let u = 0; u < this._nodes.length; u++) {
                        let n = this._nodes[u],
                            s = t.node[u];
                        if (!s.input) throw new Error(`missing input for node: ${s.name}`);
                        for (let d of s.input) {
                            let f = e.get(d);
                            if (typeof f > 'u') {
                                if (d === '' && (s.input.length === 3 || s.input.length === 4) && s.opType === 'Resize')
                                    continue;
                                throw new Error(`unrecognized input '${d}' for node: ${s.name}`);
                            }
                            n.inputs.push(f), this._allData[f]._to.push(u);
                        }
                    }
                    return !0;
                }
                buildGraphFromOrtFormat(t) {
                    let e = new Map();
                    (this._allData = []),
                        (this._allInputIndices = []),
                        (this._allInputNames = []),
                        (this._allOutputIndices = []),
                        (this._allOutputNames = []),
                        (this._nodes = []);
                    let o = new Map(),
                        i = [];
                    for (let u = 0; u < t.inputsLength(); u++) {
                        let n = t.inputs(u);
                        if (e.has(n)) throw new Error(`duplicated input name: ${n}`);
                        for (let s = 0; s < t.nodeArgsLength(); s++)
                            if (t.nodeArgs(s)?.name() === n) {
                                let d = new kt();
                                if (t.nodeArgs(s)?.type()?.valueType() !== _o.TypeInfoValue.tensor_type)
                                    throw new Error('Unexpected value type for the nodeArg.');
                                let f = t.nodeArgs(s).type().value(new _o.TensorTypeAndShape()),
                                    r = Ve.tensorDataTypeFromProto(f.elemType()),
                                    a = f.shape(),
                                    l = [];
                                for (let m = 0; m < a.dimLength(); m++)
                                    l.push(nt.longToNumber(a.dim(m).value().dimValue()));
                                d.type = { shape: { dims: l }, tensorType: r };
                                let p = this._allData.push(d) - 1;
                                e.set(n, p), i.push(n);
                            }
                    }
                    for (let u = 0; u < t.initializersLength(); u++) {
                        let n = t.initializers(u),
                            s = e.get(n.name());
                        if (s === void 0) {
                            let d = new kt(),
                                f = Ve.tensorDimsFromORTFormat(n),
                                r = Ve.tensorDataTypeFromProto(n.dataType());
                            (d.type = { shape: { dims: f }, tensorType: r }),
                                (s = this._allData.push(d) - 1),
                                e.set(n.name(), s);
                        }
                        (this._allData[s]._from = -1), (this._allData[s].tensor = Fe.fromOrtTensor(n));
                    }
                    for (let u = 0; u < this._allData.length; u++)
                        this._allData[u].tensor || (this._allInputIndices.push(u), this._allInputNames.push(i[u]));
                    for (let u = 0; u < t.outputsLength(); u++) {
                        let n = t.outputs(u);
                        if (e.has(n)) throw new Error(`duplicated output name: ${n}`);
                        let s = this._allData.push(new kt()) - 1;
                        e.set(n, s), this._allOutputIndices.push(s), this._allOutputNames.push(n);
                    }
                    if (!t.nodes) throw new Error('missing information in graph: node');
                    for (let u = 0; u < t.nodesLength(); u++) {
                        let n = t.nodes(u),
                            s = n.name();
                        if (!s) for (let f = 0; (s = `unnamed_${n.opType()}_${f}`), !!o.has(s); f++);
                        if (o.has(s)) throw new Error(`duplicated node name: ${s}`);
                        let d = this._nodes.push(new Oo(n, s)) - 1;
                        o.set(s, d);
                    }
                    for (let u = 0; u < this._nodes.length; u++) {
                        let n = this._nodes[u],
                            s = t.nodes(u);
                        if (s == null) throw new Error(`No node exists at index ${u}`);
                        if (s?.outputsLength() === 0) throw new Error(`missing output for node: ${s.name}`);
                        for (let d = 0; d < s?.outputsLength(); d++) {
                            let f = s?.outputs(d),
                                r = e.get(f);
                            if (
                                (typeof r > 'u' && ((r = this._allData.push(new kt()) - 1), e.set(f, r)),
                                n.outputs.push(r),
                                this._allData[r]._from !== void 0)
                            )
                                throw new Error(`multiple nodes output to one data value: ${r}`);
                            if (((this._allData[r]._from = u), s.opType() === 'Constant')) {
                                if (s.attributesLength() !== 1 || !s.attributes(0).t())
                                    throw new Error(
                                        'missing attributes or missing tensor value in attributes for this Constant operator'
                                    );
                                if (s.outputsLength() !== 1)
                                    throw new Error(
                                        'missing output or incorrect number of outputs for this Constant operator'
                                    );
                                n.outputs.pop(),
                                    (n.executeNode = !1),
                                    (this._allData[r]._from = -1),
                                    (this._allData[r].tensor = Fe.fromOrtTensor(s.attributes(0).t()));
                            }
                        }
                    }
                    for (let u = 0; u < this._nodes.length; u++) {
                        let n = this._nodes[u],
                            s = t.nodes(u);
                        if (s.inputsLength() === 0) throw new Error(`missing input for node: ${s.name}`);
                        for (let d = 0; d < s.inputsLength(); d++) {
                            let f = s.inputs(d),
                                r = e.get(f);
                            if (typeof r > 'u') throw new Error(`unrecognized input '${f}' for node: ${s.name()}`);
                            n.inputs.push(r), this._allData[r]._to.push(u);
                        }
                    }
                }
                checkIsAcyclic() {
                    let t = new Set();
                    this._allInputIndices.forEach((i) => {
                        this._allData[i]._to.forEach((u) => {
                            t.add(u);
                        });
                    });
                    let e = Array.from(t),
                        o = new Array(this._nodes.length).fill('white');
                    for (; e.length > 0; ) {
                        let i = e.pop();
                        o[i] === 'gray'
                            ? (o[i] = 'black')
                            : (e.push(i),
                              (o[i] = 'gray'),
                              this._nodes[i].outputs.forEach((u) => {
                                  let n = this._allData[u];
                                  if (typeof n.tensor < 'u') throw new Error('node outputs should not be initialized');
                                  if (n._from !== i)
                                      throw new Error(
                                          "from property of the Value object doesn't match index of Node being processed"
                                      );
                                  n._to.forEach((s) => {
                                      if (o[s] === 'gray') throw new Error('model graph is cyclic');
                                      o[s] === 'white' && e.push(s);
                                  });
                              }));
                    }
                }
                transformGraph(t) {
                    this.removeAllIdentityNodes(),
                        this.removeAllDropoutNodes(),
                        this.fuseConvActivationNodes(),
                        t && t.transformGraph(this),
                        this.finalizeGraph();
                }
                finalizeGraph() {
                    let t = 0,
                        e = new Array(this._nodes.length, 0),
                        o = 0;
                    for (let i = 0; i < this._nodes.length; i++)
                        (e[i] = o),
                            this._nodes[i].executeNode
                                ? (o !== i && (this._nodes[o] = this._nodes[i]), o++)
                                : this._nodes[i].outputs.forEach((u) => {
                                      this._allData[u]._from = -2;
                                  });
                    this._nodes.splice(o, this._nodes.length - o);
                    for (let i = 0; i < this._allData.length; i++) {
                        let u = this._allData[i];
                        u._from !== void 0 && u._from !== -1 && u._from !== -2 && (u._from = e[u._from]);
                        for (let n = 0; n < u._to.length; n++)
                            if (u._to[n] >= 0) u._to[n] = e[u._to[n]];
                            else throw new Error('Trying to update a removed node');
                    }
                    t = 0;
                    for (let i = 0; i < this._allData.length; i++) {
                        if (this._allData[i].from === -2 && this._allOutputIndices.indexOf(i + t) === -1) {
                            t++, this._allData.splice(i, 1), i--;
                            continue;
                        }
                        if (t > 0) {
                            let u = -1;
                            this._allData[i].from !== void 0 && this._allData[i].from !== -1
                                ? ((u = this._nodes[this._allData[i].from].outputs.indexOf(i + t)),
                                  u !== -1 && (this._nodes[this._allData[i].from].outputs[u] = i))
                                : ((u = this._allInputIndices.indexOf(i + t)),
                                  u !== -1 && (this._allInputIndices[u] = i)),
                                this._allData[i].to.forEach((n) => {
                                    (u = this._nodes[n].inputs.indexOf(i + t)),
                                        u !== -1 && (this._nodes[n].inputs[u] = i);
                                }),
                                this._allData[i].to.length === 0 &&
                                    ((u = this._allOutputIndices.indexOf(i + t)),
                                    u !== -1 && (this._allOutputIndices[u] = i));
                        }
                    }
                }
                deleteNode(t) {
                    let e = this._nodes[t];
                    if (e.outputs.length > 1) {
                        for (let s = 1; s < e.outputs.length; s++)
                            if (this._allData[e.outputs[s]].to.length > 0)
                                throw new Error(
                                    'Node deletion with more than one output connected to other nodes is not supported. '
                                );
                    }
                    e.executeNode = !1;
                    let o = e.inputs[0],
                        i = e.outputs[0],
                        u = this._allData[i].to;
                    for (let s = 0; s < e.inputs.length; s++) {
                        let d = this._allData[e.inputs[s]].to.indexOf(t);
                        if (d === -1)
                            throw new Error("The Value object doesn't have the current Node in it's 'to' property ");
                        this._allData[e.inputs[s]].to.splice(d, 1);
                    }
                    this._allData[i]._to = [];
                    let n = this._allOutputIndices.indexOf(i);
                    if ((n !== -1 && (this._allOutputIndices[n] = o), u && u.length > 0))
                        for (let s of u) {
                            let d = this._nodes[s].inputs.indexOf(i);
                            if (d === -1)
                                throw new Error(
                                    "The Node object doesn't have the output Value in it's 'inputs' property "
                                );
                            (this._nodes[s].inputs[d] = o), this._allData[o].to.push(s);
                        }
                }
                removeAllDropoutNodes() {
                    let t = 0;
                    for (let e of this._nodes) {
                        if (e.opType === 'Dropout') {
                            if (e.inputs.length !== 1) throw new Error('Dropout nodes should only contain one input. ');
                            if (e.outputs.length !== 1 && e.outputs.length !== 2)
                                throw new Error('Dropout nodes should contain either 1 or 2 output(s)');
                            if (e.outputs.length === 2 && this._allData[e.outputs[1]]._to.length !== 0)
                                throw new Error(
                                    "Dropout nodes's second output should not be referenced by other nodes"
                                );
                            this.deleteNode(t);
                        }
                        t++;
                    }
                }
                removeAllIdentityNodes() {
                    let t = 0;
                    for (let e of this._nodes) e.opType === 'Identity' && this.deleteNode(t), t++;
                }
                isActivation(t) {
                    switch (t.opType) {
                        case 'Relu':
                        case 'Sigmoid':
                        case 'Clip':
                            return !0;
                        default:
                            return !1;
                    }
                }
                fuseConvActivationNodes() {
                    for (let t of this._nodes)
                        if (t.opType === 'Conv') {
                            let e = this._allData[t.outputs[0]]._to;
                            if (e.length === 1 && this.isActivation(this._nodes[e[0]])) {
                                let o = this._nodes[e[0]];
                                if (o.opType === 'Clip')
                                    if (o.inputs.length === 1)
                                        try {
                                            t.attributes.set('activation_params', 'floats', [
                                                o.attributes.getFloat('min'),
                                                o.attributes.getFloat('max'),
                                            ]);
                                        } catch {
                                            t.attributes.set('activation_params', 'floats', [dr, hr]);
                                        }
                                    else if (
                                        o.inputs.length >= 3 &&
                                        this._allData[o.inputs[1]].tensor !== void 0 &&
                                        this._allData[o.inputs[2]].tensor !== void 0
                                    )
                                        t.attributes.set('activation_params', 'floats', [
                                            this._allData[o.inputs[1]].tensor.floatData[0],
                                            this._allData[o.inputs[2]].tensor.floatData[0],
                                        ]);
                                    else continue;
                                t.attributes.set('activation', 'string', o.opType), this.deleteNode(e[0]);
                            }
                        }
                }
            });
    }),
    yp,
    Jb,
    Io,
    Tp = L(() => {
        Wn(),
            gp(),
            tn(),
            (yp = Er($r())),
            fe(),
            (Jb = W.experimental.fbs),
            (Io = class {
                constructor() {}
                load(t, e, o) {
                    if (!o)
                        try {
                            this.loadFromOnnxFormat(t, e);
                            return;
                        } catch (i) {
                            if (o !== void 0) throw i;
                        }
                    this.loadFromOrtFormat(t, e);
                }
                loadFromOnnxFormat(t, e) {
                    let o = yp.onnx.ModelProto.decode(t);
                    if (nt.longToNumber(o.irVersion) < 3) throw new Error('only support ONNX model with IR_VERSION>=3');
                    (this._opsets = o.opsetImport.map((i) => ({
                        domain: i.domain,
                        version: nt.longToNumber(i.version),
                    }))),
                        (this._graph = Zi.from(o.graph, e));
                }
                loadFromOrtFormat(t, e) {
                    let o = new _.ByteBuffer(t),
                        i = Jb.InferenceSession.getRootAsInferenceSession(o).model();
                    if (nt.longToNumber(i.irVersion()) < 3)
                        throw new Error('only support ONNX model with IR_VERSION>=3');
                    this._opsets = [];
                    for (let u = 0; u < i.opsetImportLength(); u++) {
                        let n = i.opsetImport(u);
                        this._opsets.push({ domain: n?.domain(), version: nt.longToNumber(n.version()) });
                    }
                    this._graph = Zi.from(i.graph(), e);
                }
                get graph() {
                    return this._graph;
                }
                get opsets() {
                    return this._opsets;
                }
            });
    }),
    So,
    xp = L(() => {
        hp(),
            mp(),
            ut(),
            Tp(),
            (So = class {
                constructor(t = {}) {
                    (this._initialized = !1),
                        (this.backendHint = t.backendHint),
                        (this.profiler = zn.create(t.profiler)),
                        (this.context = { profiler: this.profiler, graphInputTypes: [], graphInputDims: [] });
                }
                get inputNames() {
                    return this._model.graph.getInputNames();
                }
                get outputNames() {
                    return this._model.graph.getOutputNames();
                }
                startProfiling() {
                    this.profiler.start();
                }
                endProfiling() {
                    this.profiler.stop();
                }
                async loadModel(t, e, o) {
                    await this.profiler.event('session', 'Session.loadModel', async () => {
                        let i = await Yi(this.backendHint);
                        if (
                            ((this.sessionHandler = i.createSessionHandler(this.context)),
                            (this._model = new Io()),
                            typeof t == 'string')
                        ) {
                            let u = t.endsWith('.ort');
                            if (typeof process < 'u' && process.versions && process.versions.node) {
                                let n = await (void 0)(t);
                                this.initialize(n, u);
                            } else {
                                let n = await (await fetch(t)).arrayBuffer();
                                this.initialize(new Uint8Array(n), u);
                            }
                        } else if (ArrayBuffer.isView(t)) this.initialize(t);
                        else {
                            let u = new Uint8Array(t, e || 0, o || t.byteLength);
                            this.initialize(u);
                        }
                    });
                }
                initialize(t, e) {
                    if (this._initialized) throw new Error('already initialized');
                    this.profiler.event('session', 'Session.initialize', () => {
                        let o = this.sessionHandler.transformGraph ? this.sessionHandler : void 0;
                        this._model.load(t, o, e),
                            this.sessionHandler.onGraphInitialized &&
                                this.sessionHandler.onGraphInitialized(this._model.graph),
                            this.initializeOps(this._model.graph),
                            (this._executionPlan = new wo(this._model.graph, this._ops, this.profiler));
                    }),
                        (this._initialized = !0);
                }
                async run(t) {
                    if (!this._initialized) throw new Error('session not initialized yet');
                    return this.profiler.event('session', 'Session.run', async () => {
                        let e = this.normalizeAndValidateInputs(t),
                            o = await this._executionPlan.execute(this.sessionHandler, e);
                        return this.createOutput(o);
                    });
                }
                normalizeAndValidateInputs(t) {
                    let e = this._model.graph.getInputNames();
                    if (Array.isArray(t)) {
                        if (t.length !== e.length)
                            throw new Error(`incorrect input array length: expected ${e.length} but got ${t.length}`);
                    } else {
                        if (t.size !== e.length)
                            throw new Error(`incorrect input map size: expected ${e.length} but got ${t.size}`);
                        let o = new Array(t.size),
                            i = 0;
                        for (let u = 0; u < e.length; ++u) {
                            let n = t.get(e[u]);
                            if (!n) throw new Error(`missing input tensor for: '${name}'`);
                            o[i++] = n;
                        }
                        t = o;
                    }
                    if (
                        !this.context.graphInputTypes ||
                        this.context.graphInputTypes.length === 0 ||
                        !this.context.graphInputDims ||
                        this.context.graphInputDims.length === 0
                    ) {
                        let o = this._model.graph.getInputIndices(),
                            i = this._model.graph.getValues(),
                            u = new Array(o.length);
                        for (let n = 0; n < o.length; ++n) {
                            let s = i[o[n]];
                            (u[n] = s.type.shape.dims),
                                this.context.graphInputTypes.push(s.type.tensorType),
                                this.context.graphInputDims.push(t[n].dims);
                        }
                        this.validateInputTensorDims(u, t, !0);
                    } else this.validateInputTensorDims(this.context.graphInputDims, t, !1);
                    return this.validateInputTensorTypes(this.context.graphInputTypes, t), t;
                }
                validateInputTensorTypes(t, e) {
                    for (let o = 0; o < e.length; o++) {
                        let i = t[o],
                            u = e[o].type;
                        if (i !== u)
                            throw new Error(`input tensor[${o}] check failed: expected type '${i}' but got ${u}`);
                    }
                }
                validateInputTensorDims(t, e, o) {
                    for (let i = 0; i < e.length; i++) {
                        let u = t[i],
                            n = e[i].dims;
                        if (!this.compareTensorDims(u, n, o))
                            throw new Error(
                                `input tensor[${i}] check failed: expected shape '[${u.join(',')}]' but got [${n.join(
                                    ','
                                )}]`
                            );
                    }
                }
                compareTensorDims(t, e, o) {
                    if (t.length !== e.length) return !1;
                    for (let i = 0; i < t.length; ++i) if (t[i] !== e[i] && (!o || t[i] !== 0)) return !1;
                    return !0;
                }
                createOutput(t) {
                    let e = this._model.graph.getOutputNames();
                    if (t.length !== e.length)
                        throw new Error('expected number of outputs do not match number of generated outputs');
                    let o = new Map();
                    for (let i = 0; i < e.length; ++i) o.set(e[i], t[i]);
                    return o;
                }
                initializeOps(t) {
                    let e = t.getNodes();
                    this._ops = new Array(e.length);
                    for (let o = 0; o < e.length; o++)
                        this._ops[o] = this.sessionHandler.resolve(e[o], this._model.opsets, t);
                }
            });
    }),
    Ao,
    vp = L(() => {
        vt(),
            mr(),
            (Ao = class {
                constructor(t) {
                    (this.session = t),
                        (this.inputNames = this.session.inputNames),
                        (this.outputNames = this.session.outputNames);
                }
                async dispose() {}
                async run(t, e, o) {
                    let i = new Map();
                    for (let s in t)
                        if (Object.hasOwnProperty.call(t, s)) {
                            let d = t[s];
                            i.set(s, new Fe(d.dims, d.type, void 0, void 0, d.data));
                        }
                    let u = await this.session.run(i),
                        n = {};
                    return (
                        u.forEach((s, d) => {
                            n[d] = new Re(s.type, s.data, s.dims);
                        }),
                        n
                    );
                }
                startProfiling() {
                    this.session.startProfiling();
                }
                endProfiling() {
                    this.session.endProfiling();
                }
            });
    }),
    wp = {};
Pr(wp, { onnxjsBackend: () => Qb });
var Qi,
    Qb,
    _p = L(() => {
        xp(),
            vp(),
            (Qi = class {
                async init() {}
                async createInferenceSessionHandler(t, e) {
                    let o = new So(e);
                    return typeof t == 'string' ? await o.loadModel(t) : await o.loadModel(t), new Ao(o);
                }
            }),
            (Qb = new Qi());
    }),
    ea = {};
Pr(ea, { createReadStream: () => Op, readFile: () => eg, readFileSync: () => tg });
var eg,
    tg,
    Op,
    ta = L(() => {
        (eg = void 0), (tg = void 0), (Op = void 0);
    }),
    ra = {};
Pr(ra, { join: () => rg });
var rg,
    na = L(() => {
        rg = void 0;
    }),
    Ap = me((t, e) => {
        var o = (() => {
            var i = typeof document < 'u' && document.currentScript ? document.currentScript.src : void 0;
            return (
                typeof __filename < 'u' && (i = i || __filename),
                function (u = {}) {
                    var n = u,
                        s,
                        d;
                    n.ready = new Promise((O, M) => {
                        (s = O), (d = M);
                    });
                    var f = Object.assign({}, n),
                        r = './this.program',
                        a = typeof window == 'object',
                        l = typeof importScripts == 'function',
                        p =
                            typeof process == 'object' &&
                            typeof process.versions == 'object' &&
                            typeof process.versions.node == 'string',
                        m = '',
                        y,
                        T,
                        v;
                    if (p) {
                        var S = (ta(), rr(ea)),
                            E = (na(), rr(ra));
                        (m = l ? E.dirname(m) + '/' : __dirname + '/'),
                            (y = (O, M) => (
                                (O = ve(O) ? new URL(O) : E.normalize(O)), S.readFileSync(O, M ? void 0 : 'utf8')
                            )),
                            (v = (O) => ((O = y(O, !0)), O.buffer || (O = new Uint8Array(O)), O)),
                            (T = (O, M, I, k = !0) => {
                                (O = ve(O) ? new URL(O) : E.normalize(O)),
                                    S.readFile(O, k ? void 0 : 'utf8', (G, ne) => {
                                        G ? I(G) : M(k ? ne.buffer : ne);
                                    });
                            }),
                            !n.thisProgram && 1 < process.argv.length && (r = process.argv[1].replace(/\\/g, '/')),
                            process.argv.slice(2),
                            (n.inspect = () => '[Emscripten Module object]');
                    } else
                        (a || l) &&
                            (l
                                ? (m = self.location.href)
                                : typeof document < 'u' && document.currentScript && (m = document.currentScript.src),
                            i && (m = i),
                            m.indexOf('blob:') !== 0
                                ? (m = m.substr(0, m.replace(/[?#].*/, '').lastIndexOf('/') + 1))
                                : (m = ''),
                            (y = (O) => {
                                var M = new XMLHttpRequest();
                                return M.open('GET', O, !1), M.send(null), M.responseText;
                            }),
                            l &&
                                (v = (O) => {
                                    var M = new XMLHttpRequest();
                                    return (
                                        M.open('GET', O, !1),
                                        (M.responseType = 'arraybuffer'),
                                        M.send(null),
                                        new Uint8Array(M.response)
                                    );
                                }),
                            (T = (O, M, I) => {
                                var k = new XMLHttpRequest();
                                k.open('GET', O, !0),
                                    (k.responseType = 'arraybuffer'),
                                    (k.onload = () => {
                                        k.status == 200 || (k.status == 0 && k.response) ? M(k.response) : I();
                                    }),
                                    (k.onerror = I),
                                    k.send(null);
                            }));
                    var A = console.log.bind(console),
                        F = console.error.bind(console);
                    Object.assign(n, f),
                        (f = null),
                        typeof WebAssembly != 'object' && pe('no native wasm support detected');
                    var B,
                        J = !1,
                        Q,
                        re,
                        V,
                        de,
                        ke;
                    function Ne() {
                        var O = B.buffer;
                        (n.HEAP8 = Q = new Int8Array(O)),
                            (n.HEAP16 = new Int16Array(O)),
                            (n.HEAPU8 = re = new Uint8Array(O)),
                            (n.HEAPU16 = new Uint16Array(O)),
                            (n.HEAP32 = V = new Int32Array(O)),
                            (n.HEAPU32 = de = new Uint32Array(O)),
                            (n.HEAPF32 = new Float32Array(O)),
                            (n.HEAPF64 = ke = new Float64Array(O));
                    }
                    var Me = [],
                        Y = [],
                        _e = [],
                        he = 0,
                        ue = null;
                    function pe(O) {
                        throw (
                            ((O = 'Aborted(' + O + ')'),
                            F(O),
                            (J = !0),
                            (O = new WebAssembly.RuntimeError(O + '. Build with -sASSERTIONS for more info.')),
                            d(O),
                            O)
                        );
                    }
                    var X = (O) => O.startsWith('data:application/octet-stream;base64,'),
                        ve = (O) => O.startsWith('file://'),
                        we;
                    if (((we = 'ort-wasm.wasm'), !X(we))) {
                        var rt = we;
                        we = n.locateFile ? n.locateFile(rt, m) : m + rt;
                    }
                    function ot(O) {
                        if (v) return v(O);
                        throw 'both async and sync fetching of the wasm failed';
                    }
                    function qe(O) {
                        if (a || l) {
                            if (typeof fetch == 'function' && !ve(O))
                                return fetch(O, { credentials: 'same-origin' })
                                    .then((M) => {
                                        if (!M.ok) throw "failed to load wasm binary file at '" + O + "'";
                                        return M.arrayBuffer();
                                    })
                                    .catch(() => ot(O));
                            if (T)
                                return new Promise((M, I) => {
                                    T(O, (k) => M(new Uint8Array(k)), I);
                                });
                        }
                        return Promise.resolve().then(() => ot(O));
                    }
                    function He(O, M, I) {
                        return qe(O)
                            .then((k) => WebAssembly.instantiate(k, M))
                            .then((k) => k)
                            .then(I, (k) => {
                                F(`failed to asynchronously prepare wasm: ${k}`), pe(k);
                            });
                    }
                    function Qe(O, M) {
                        var I = we;
                        return typeof WebAssembly.instantiateStreaming != 'function' ||
                            X(I) ||
                            ve(I) ||
                            p ||
                            typeof fetch != 'function'
                            ? He(I, O, M)
                            : fetch(I, { credentials: 'same-origin' }).then((k) =>
                                  WebAssembly.instantiateStreaming(k, O).then(M, function (G) {
                                      return (
                                          F(`wasm streaming compile failed: ${G}`),
                                          F('falling back to ArrayBuffer instantiation'),
                                          He(I, O, M)
                                      );
                                  })
                              );
                    }
                    var Be,
                        Ce = {
                            919888: (O, M, I, k) => {
                                if (typeof n > 'u' || !n.za) return 1;
                                if (
                                    ((O = Mt(O >>> 0)),
                                    O.startsWith('./') && (O = O.substring(2)),
                                    (O = n.za.get(O)),
                                    !O)
                                )
                                    return 2;
                                if (((M >>>= 0), (I >>>= 0), M + I > O.byteLength)) return 3;
                                try {
                                    return re.set(O.subarray(M, M + I), (k >>> 0) >>> 0), 0;
                                } catch {
                                    return 4;
                                }
                            },
                        };
                    function Se(O) {
                        (this.xa = O - 24),
                            (this.Ha = function (M) {
                                de[((this.xa + 4) >>> 2) >>> 0] = M;
                            }),
                            (this.Ga = function (M) {
                                de[((this.xa + 8) >>> 2) >>> 0] = M;
                            }),
                            (this.Aa = function (M, I) {
                                this.Fa(), this.Ha(M), this.Ga(I);
                            }),
                            (this.Fa = function () {
                                de[((this.xa + 16) >>> 2) >>> 0] = 0;
                            });
                    }
                    var je = 0,
                        Tt = typeof TextDecoder < 'u' ? new TextDecoder('utf8') : void 0,
                        xt = (O, M, I) => {
                            M >>>= 0;
                            var k = M + I;
                            for (I = M; O[I] && !(I >= k); ) ++I;
                            if (16 < I - M && O.buffer && Tt) return Tt.decode(O.subarray(M, I));
                            for (k = ''; M < I; ) {
                                var G = O[M++];
                                if (G & 128) {
                                    var ne = O[M++] & 63;
                                    if ((G & 224) == 192) k += String.fromCharCode(((G & 31) << 6) | ne);
                                    else {
                                        var ge = O[M++] & 63;
                                        (G =
                                            (G & 240) == 224
                                                ? ((G & 15) << 12) | (ne << 6) | ge
                                                : ((G & 7) << 18) | (ne << 12) | (ge << 6) | (O[M++] & 63)),
                                            65536 > G
                                                ? (k += String.fromCharCode(G))
                                                : ((G -= 65536),
                                                  (k += String.fromCharCode(55296 | (G >> 10), 56320 | (G & 1023))));
                                    }
                                } else k += String.fromCharCode(G);
                            }
                            return k;
                        },
                        Mt = (O, M) => ((O >>>= 0) ? xt(re, O, M) : ''),
                        Ot = (O) => {
                            for (var M = 0, I = 0; I < O.length; ++I) {
                                var k = O.charCodeAt(I);
                                127 >= k
                                    ? M++
                                    : 2047 >= k
                                    ? (M += 2)
                                    : 55296 <= k && 57343 >= k
                                    ? ((M += 4), ++I)
                                    : (M += 3);
                            }
                            return M;
                        },
                        gt = (O, M, I, k) => {
                            if (((I >>>= 0), !(0 < k))) return 0;
                            var G = I;
                            k = I + k - 1;
                            for (var ne = 0; ne < O.length; ++ne) {
                                var ge = O.charCodeAt(ne);
                                if (55296 <= ge && 57343 >= ge) {
                                    var Ue = O.charCodeAt(++ne);
                                    ge = (65536 + ((ge & 1023) << 10)) | (Ue & 1023);
                                }
                                if (127 >= ge) {
                                    if (I >= k) break;
                                    M[I++ >>> 0] = ge;
                                } else {
                                    if (2047 >= ge) {
                                        if (I + 1 >= k) break;
                                        M[I++ >>> 0] = 192 | (ge >> 6);
                                    } else {
                                        if (65535 >= ge) {
                                            if (I + 2 >= k) break;
                                            M[I++ >>> 0] = 224 | (ge >> 12);
                                        } else {
                                            if (I + 3 >= k) break;
                                            (M[I++ >>> 0] = 240 | (ge >> 18)), (M[I++ >>> 0] = 128 | ((ge >> 12) & 63));
                                        }
                                        M[I++ >>> 0] = 128 | ((ge >> 6) & 63);
                                    }
                                    M[I++ >>> 0] = 128 | (ge & 63);
                                }
                            }
                            return (M[I >>> 0] = 0), I - G;
                        },
                        yt = (O) => O % 4 === 0 && (O % 100 !== 0 || O % 400 === 0),
                        Or = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335],
                        Ht = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334],
                        Sr = (O) => {
                            var M = Ot(O) + 1,
                                I = Gt(M);
                            return I && gt(O, re, I, M), I;
                        },
                        st = [],
                        Bt = {},
                        At = () => {
                            if (!It) {
                                var O = {
                                        USER: 'web_user',
                                        LOGNAME: 'web_user',
                                        PATH: '/',
                                        PWD: '/',
                                        HOME: '/home/web_user',
                                        LANG:
                                            (
                                                (typeof navigator == 'object' &&
                                                    navigator.languages &&
                                                    navigator.languages[0]) ||
                                                'C'
                                            ).replace('-', '_') + '.UTF-8',
                                        _: r || './this.program',
                                    },
                                    M;
                                for (M in Bt) Bt[M] === void 0 ? delete O[M] : (O[M] = Bt[M]);
                                var I = [];
                                for (M in O) I.push(`${M}=${O[M]}`);
                                It = I;
                            }
                            return It;
                        },
                        It,
                        Ar = [null, [], []],
                        Et = [31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31],
                        Yt = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31];
                    function Ir(O) {
                        var M = Array(Ot(O) + 1);
                        return gt(O, M, 0, M.length), M;
                    }
                    function Dt(O, M, I, k) {
                        function G(C, Te, Ie) {
                            for (C = typeof C == 'number' ? C.toString() : C || ''; C.length < Te; ) C = Ie[0] + C;
                            return C;
                        }
                        function ne(C, Te) {
                            return G(C, Te, '0');
                        }
                        function ge(C, Te) {
                            function Ie(lr) {
                                return 0 > lr ? -1 : 0 < lr ? 1 : 0;
                            }
                            var at;
                            return (
                                (at = Ie(C.getFullYear() - Te.getFullYear())) === 0 &&
                                    (at = Ie(C.getMonth() - Te.getMonth())) === 0 &&
                                    (at = Ie(C.getDate() - Te.getDate())),
                                at
                            );
                        }
                        function Ue(C) {
                            switch (C.getDay()) {
                                case 0:
                                    return new Date(C.getFullYear() - 1, 11, 29);
                                case 1:
                                    return C;
                                case 2:
                                    return new Date(C.getFullYear(), 0, 3);
                                case 3:
                                    return new Date(C.getFullYear(), 0, 2);
                                case 4:
                                    return new Date(C.getFullYear(), 0, 1);
                                case 5:
                                    return new Date(C.getFullYear() - 1, 11, 31);
                                case 6:
                                    return new Date(C.getFullYear() - 1, 11, 30);
                            }
                        }
                        function et(C) {
                            var Te = C.ta;
                            for (C = new Date(new Date(C.ua + 1900, 0, 1).getTime()); 0 < Te; ) {
                                var Ie = C.getMonth(),
                                    at = (yt(C.getFullYear()) ? Et : Yt)[Ie];
                                if (Te > at - C.getDate())
                                    (Te -= at - C.getDate() + 1),
                                        C.setDate(1),
                                        11 > Ie
                                            ? C.setMonth(Ie + 1)
                                            : (C.setMonth(0), C.setFullYear(C.getFullYear() + 1));
                                else {
                                    C.setDate(C.getDate() + Te);
                                    break;
                                }
                            }
                            return (
                                (Ie = new Date(C.getFullYear() + 1, 0, 4)),
                                (Te = Ue(new Date(C.getFullYear(), 0, 4))),
                                (Ie = Ue(Ie)),
                                0 >= ge(Te, C)
                                    ? 0 >= ge(Ie, C)
                                        ? C.getFullYear() + 1
                                        : C.getFullYear()
                                    : C.getFullYear() - 1
                            );
                        }
                        (O >>>= 0), (M >>>= 0), (I >>>= 0), (k >>>= 0);
                        var Ze = de[((k + 40) >>> 2) >>> 0];
                        (k = {
                            Da: V[(k >>> 2) >>> 0],
                            Ca: V[((k + 4) >>> 2) >>> 0],
                            va: V[((k + 8) >>> 2) >>> 0],
                            ya: V[((k + 12) >>> 2) >>> 0],
                            wa: V[((k + 16) >>> 2) >>> 0],
                            ua: V[((k + 20) >>> 2) >>> 0],
                            oa: V[((k + 24) >>> 2) >>> 0],
                            ta: V[((k + 28) >>> 2) >>> 0],
                            Ia: V[((k + 32) >>> 2) >>> 0],
                            Ba: V[((k + 36) >>> 2) >>> 0],
                            Ea: Ze ? Mt(Ze) : '',
                        }),
                            (I = Mt(I)),
                            (Ze = {
                                '%c': '%a %b %d %H:%M:%S %Y',
                                '%D': '%m/%d/%y',
                                '%F': '%Y-%m-%d',
                                '%h': '%b',
                                '%r': '%I:%M:%S %p',
                                '%R': '%H:%M',
                                '%T': '%H:%M:%S',
                                '%x': '%m/%d/%y',
                                '%X': '%H:%M:%S',
                                '%Ec': '%c',
                                '%EC': '%C',
                                '%Ex': '%m/%d/%y',
                                '%EX': '%H:%M:%S',
                                '%Ey': '%y',
                                '%EY': '%Y',
                                '%Od': '%d',
                                '%Oe': '%e',
                                '%OH': '%H',
                                '%OI': '%I',
                                '%Om': '%m',
                                '%OM': '%M',
                                '%OS': '%S',
                                '%Ou': '%u',
                                '%OU': '%U',
                                '%OV': '%V',
                                '%Ow': '%w',
                                '%OW': '%W',
                                '%Oy': '%y',
                            });
                        for (var Je in Ze) I = I.replace(new RegExp(Je, 'g'), Ze[Je]);
                        var er = 'Sunday Monday Tuesday Wednesday Thursday Friday Saturday'.split(' '),
                            tr =
                                'January February March April May June July August September October November December'.split(
                                    ' '
                                );
                        (Ze = {
                            '%a': (C) => er[C.oa].substring(0, 3),
                            '%A': (C) => er[C.oa],
                            '%b': (C) => tr[C.wa].substring(0, 3),
                            '%B': (C) => tr[C.wa],
                            '%C': (C) => ne(((C.ua + 1900) / 100) | 0, 2),
                            '%d': (C) => ne(C.ya, 2),
                            '%e': (C) => G(C.ya, 2, ' '),
                            '%g': (C) => et(C).toString().substring(2),
                            '%G': (C) => et(C),
                            '%H': (C) => ne(C.va, 2),
                            '%I': (C) => ((C = C.va), C == 0 ? (C = 12) : 12 < C && (C -= 12), ne(C, 2)),
                            '%j': (C) => {
                                for (var Te = 0, Ie = 0; Ie <= C.wa - 1; Te += (yt(C.ua + 1900) ? Et : Yt)[Ie++]);
                                return ne(C.ya + Te, 3);
                            },
                            '%m': (C) => ne(C.wa + 1, 2),
                            '%M': (C) => ne(C.Ca, 2),
                            '%n': () => `
`,
                            '%p': (C) => (0 <= C.va && 12 > C.va ? 'AM' : 'PM'),
                            '%S': (C) => ne(C.Da, 2),
                            '%t': () => '	',
                            '%u': (C) => C.oa || 7,
                            '%U': (C) => ne(Math.floor((C.ta + 7 - C.oa) / 7), 2),
                            '%V': (C) => {
                                var Te = Math.floor((C.ta + 7 - ((C.oa + 6) % 7)) / 7);
                                if ((2 >= (C.oa + 371 - C.ta - 2) % 7 && Te++, Te))
                                    Te == 53 &&
                                        ((Ie = (C.oa + 371 - C.ta) % 7), Ie == 4 || (Ie == 3 && yt(C.ua)) || (Te = 1));
                                else {
                                    Te = 52;
                                    var Ie = (C.oa + 7 - C.ta - 1) % 7;
                                    (Ie == 4 || (Ie == 5 && yt((C.ua % 400) - 1))) && Te++;
                                }
                                return ne(Te, 2);
                            },
                            '%w': (C) => C.oa,
                            '%W': (C) => ne(Math.floor((C.ta + 7 - ((C.oa + 6) % 7)) / 7), 2),
                            '%y': (C) => (C.ua + 1900).toString().substring(2),
                            '%Y': (C) => C.ua + 1900,
                            '%z': (C) => {
                                C = C.Ba;
                                var Te = 0 <= C;
                                return (
                                    (C = Math.abs(C) / 60),
                                    (Te ? '+' : '-') + ('0000' + ((C / 60) * 100 + (C % 60))).slice(-4)
                                );
                            },
                            '%Z': (C) => C.Ea,
                            '%%': () => '%',
                        }),
                            (I = I.replace(/%%/g, '\0\0'));
                        for (Je in Ze) I.includes(Je) && (I = I.replace(new RegExp(Je, 'g'), Ze[Je](k)));
                        return (
                            (I = I.replace(/\0\0/g, '%')),
                            (Je = Ir(I)),
                            Je.length > M ? 0 : (Q.set(Je, O >>> 0), Je.length - 1)
                        );
                    }
                    var Zr = {
                            a: function (O, M, I) {
                                throw ((O >>>= 0), new Se(O).Aa(M >>> 0, I >>> 0), (je = O), je);
                            },
                            e: function () {
                                return 0;
                            },
                            H: function () {},
                            x: function () {},
                            z: function () {},
                            J: function () {
                                return 0;
                            },
                            F: function () {},
                            A: function () {},
                            E: function () {},
                            g: function () {},
                            y: function () {},
                            v: function () {},
                            G: function () {},
                            w: function () {},
                            k: () => 1,
                            n: function (O, M, I) {
                                (O = (M + 2097152) >>> 0 < 4194305 - !!O ? (O >>> 0) + 4294967296 * M : NaN),
                                    (I >>>= 0),
                                    (O = new Date(1e3 * O)),
                                    (V[(I >>> 2) >>> 0] = O.getUTCSeconds()),
                                    (V[((I + 4) >>> 2) >>> 0] = O.getUTCMinutes()),
                                    (V[((I + 8) >>> 2) >>> 0] = O.getUTCHours()),
                                    (V[((I + 12) >>> 2) >>> 0] = O.getUTCDate()),
                                    (V[((I + 16) >>> 2) >>> 0] = O.getUTCMonth()),
                                    (V[((I + 20) >>> 2) >>> 0] = O.getUTCFullYear() - 1900),
                                    (V[((I + 24) >>> 2) >>> 0] = O.getUTCDay()),
                                    (V[((I + 28) >>> 2) >>> 0] =
                                        ((O.getTime() - Date.UTC(O.getUTCFullYear(), 0, 1, 0, 0, 0, 0)) / 864e5) | 0);
                            },
                            o: function (O, M, I) {
                                (O = (M + 2097152) >>> 0 < 4194305 - !!O ? (O >>> 0) + 4294967296 * M : NaN),
                                    (I >>>= 0),
                                    (O = new Date(1e3 * O)),
                                    (V[(I >>> 2) >>> 0] = O.getSeconds()),
                                    (V[((I + 4) >>> 2) >>> 0] = O.getMinutes()),
                                    (V[((I + 8) >>> 2) >>> 0] = O.getHours()),
                                    (V[((I + 12) >>> 2) >>> 0] = O.getDate()),
                                    (V[((I + 16) >>> 2) >>> 0] = O.getMonth()),
                                    (V[((I + 20) >>> 2) >>> 0] = O.getFullYear() - 1900),
                                    (V[((I + 24) >>> 2) >>> 0] = O.getDay()),
                                    (V[((I + 28) >>> 2) >>> 0] =
                                        ((yt(O.getFullYear()) ? Or : Ht)[O.getMonth()] + O.getDate() - 1) | 0),
                                    (V[((I + 36) >>> 2) >>> 0] = -(60 * O.getTimezoneOffset())),
                                    (M = new Date(O.getFullYear(), 6, 1).getTimezoneOffset());
                                var k = new Date(O.getFullYear(), 0, 1).getTimezoneOffset();
                                V[((I + 32) >>> 2) >>> 0] = (M != k && O.getTimezoneOffset() == Math.min(k, M)) | 0;
                            },
                            p: function (O) {
                                O >>>= 0;
                                var M = new Date(
                                        V[((O + 20) >>> 2) >>> 0] + 1900,
                                        V[((O + 16) >>> 2) >>> 0],
                                        V[((O + 12) >>> 2) >>> 0],
                                        V[((O + 8) >>> 2) >>> 0],
                                        V[((O + 4) >>> 2) >>> 0],
                                        V[(O >>> 2) >>> 0],
                                        0
                                    ),
                                    I = V[((O + 32) >>> 2) >>> 0],
                                    k = M.getTimezoneOffset(),
                                    G = new Date(M.getFullYear(), 6, 1).getTimezoneOffset(),
                                    ne = new Date(M.getFullYear(), 0, 1).getTimezoneOffset(),
                                    ge = Math.min(ne, G);
                                return (
                                    0 > I
                                        ? (V[((O + 32) >>> 2) >>> 0] = +(G != ne && ge == k))
                                        : 0 < I != (ge == k) &&
                                          ((G = Math.max(ne, G)),
                                          M.setTime(M.getTime() + 6e4 * ((0 < I ? ge : G) - k))),
                                    (V[((O + 24) >>> 2) >>> 0] = M.getDay()),
                                    (V[((O + 28) >>> 2) >>> 0] =
                                        ((yt(M.getFullYear()) ? Or : Ht)[M.getMonth()] + M.getDate() - 1) | 0),
                                    (V[(O >>> 2) >>> 0] = M.getSeconds()),
                                    (V[((O + 4) >>> 2) >>> 0] = M.getMinutes()),
                                    (V[((O + 8) >>> 2) >>> 0] = M.getHours()),
                                    (V[((O + 12) >>> 2) >>> 0] = M.getDate()),
                                    (V[((O + 16) >>> 2) >>> 0] = M.getMonth()),
                                    (V[((O + 20) >>> 2) >>> 0] = M.getYear()),
                                    (O = M.getTime()),
                                    isNaN(O) ? ((V[(Kt() >>> 2) >>> 0] = 61), (O = -1)) : (O /= 1e3),
                                    Fr(
                                        ((Be = O),
                                        1 <= +Math.abs(Be)
                                            ? 0 < Be
                                                ? +Math.floor(Be / 4294967296) >>> 0
                                                : ~~+Math.ceil((Be - +(~~Be >>> 0)) / 4294967296) >>> 0
                                            : 0)
                                    ),
                                    O >>> 0
                                );
                            },
                            l: function () {
                                return -52;
                            },
                            m: function () {},
                            t: function (O, M, I) {
                                function k(et) {
                                    return (et = et.toTimeString().match(/\(([A-Za-z ]+)\)$/)) ? et[1] : 'GMT';
                                }
                                I >>>= 0;
                                var G = new Date().getFullYear(),
                                    ne = new Date(G, 0, 1),
                                    ge = new Date(G, 6, 1);
                                G = ne.getTimezoneOffset();
                                var Ue = ge.getTimezoneOffset();
                                (de[((O >>> 0) >>> 2) >>> 0] = 60 * Math.max(G, Ue)),
                                    (V[((M >>> 0) >>> 2) >>> 0] = +(G != Ue)),
                                    (O = k(ne)),
                                    (M = k(ge)),
                                    (O = Sr(O)),
                                    (M = Sr(M)),
                                    Ue < G
                                        ? ((de[(I >>> 2) >>> 0] = O), (de[((I + 4) >>> 2) >>> 0] = M))
                                        : ((de[(I >>> 2) >>> 0] = M), (de[((I + 4) >>> 2) >>> 0] = O));
                            },
                            d: () => {
                                pe('');
                            },
                            B: function (O, M, I) {
                                (O >>>= 0), (M >>>= 0), (I >>>= 0), (st.length = 0);
                                for (var k; (k = re[M++ >>> 0]); ) {
                                    var G = k != 105;
                                    (G &= k != 112),
                                        (I += G && I % 8 ? 4 : 0),
                                        st.push(
                                            k == 112
                                                ? de[(I >>> 2) >>> 0]
                                                : k == 105
                                                ? V[(I >>> 2) >>> 0]
                                                : ke[(I >>> 3) >>> 0]
                                        ),
                                        (I += G ? 8 : 4);
                                }
                                return Ce[O].apply(null, st);
                            },
                            h: () => Date.now(),
                            u: function () {
                                return 4294901760;
                            },
                            b: () => performance.now(),
                            I: function (O, M, I) {
                                return (M >>>= 0), re.copyWithin((O >>> 0) >>> 0, M >>> 0, (M + (I >>> 0)) >>> 0);
                            },
                            s: function (O) {
                                O >>>= 0;
                                var M = re.length;
                                if (4294901760 < O) return !1;
                                for (var I = 1; 4 >= I; I *= 2) {
                                    var k = M * (1 + 0.2 / I);
                                    k = Math.min(k, O + 100663296);
                                    var G = Math;
                                    k = Math.max(O, k);
                                    e: {
                                        G =
                                            (G.min.call(G, 4294901760, k + ((65536 - (k % 65536)) % 65536)) -
                                                B.buffer.byteLength +
                                                65535) /
                                            65536;
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                                            B.grow(G), Ne();
                                            var ne = 1;
                                            break e;
                                        } catch {}
                                        ne = void 0;
                                    }
                                    if (ne) return !0;
                                }
                                return !1;
                            },
                            C: function (O, M) {
                                (O >>>= 0), (M >>>= 0);
                                var I = 0;
                                return (
                                    At().forEach((k, G) => {
                                        var ne = M + I;
                                        for (G = de[((O + 4 * G) >>> 2) >>> 0] = ne, ne = 0; ne < k.length; ++ne)
                                            Q[(G++ >>> 0) >>> 0] = k.charCodeAt(ne);
                                        (Q[(G >>> 0) >>> 0] = 0), (I += k.length + 1);
                                    }),
                                    0
                                );
                            },
                            D: function (O, M) {
                                (O >>>= 0), (M >>>= 0);
                                var I = At();
                                de[(O >>> 2) >>> 0] = I.length;
                                var k = 0;
                                return I.forEach((G) => (k += G.length + 1)), (de[(M >>> 2) >>> 0] = k), 0;
                            },
                            f: () => 52,
                            j: function () {
                                return 52;
                            },
                            q: function () {
                                return 70;
                            },
                            i: function (O, M, I, k) {
                                (M >>>= 0), (I >>>= 0), (k >>>= 0);
                                for (var G = 0, ne = 0; ne < I; ne++) {
                                    var ge = de[(M >>> 2) >>> 0],
                                        Ue = de[((M + 4) >>> 2) >>> 0];
                                    M += 8;
                                    for (var et = 0; et < Ue; et++) {
                                        var Ze = re[(ge + et) >>> 0],
                                            Je = Ar[O];
                                        Ze === 0 || Ze === 10
                                            ? ((O === 1 ? A : F)(xt(Je, 0)), (Je.length = 0))
                                            : Je.push(Ze);
                                    }
                                    G += Ue;
                                }
                                return (de[(k >>> 2) >>> 0] = G), 0;
                            },
                            r: Dt,
                            c: function (O, M, I, k) {
                                return Dt(O >>> 0, M >>> 0, I >>> 0, k >>> 0);
                            },
                        },
                        H = (function () {
                            function O(I) {
                                return (
                                    (H = I.exports),
                                    (H = Wt()),
                                    (B = H.K),
                                    Ne(),
                                    Y.unshift(H.L),
                                    he--,
                                    he == 0 && ue && ((I = ue), (ue = null), I()),
                                    H
                                );
                            }
                            var M = { a: Zr };
                            if ((he++, n.instantiateWasm))
                                try {
                                    return n.instantiateWasm(M, O);
                                } catch (I) {
                                    F(`Module.instantiateWasm callback failed with error: ${I}`), d(I);
                                }
                            return (
                                Qe(M, function (I) {
                                    O(I.instance);
                                }).catch(d),
                                {}
                            );
                        })();
                    (n._OrtInit = (O, M) => (n._OrtInit = H.M)(O, M)),
                        (n._OrtGetLastError = (O, M) => (n._OrtGetLastError = H.N)(O, M)),
                        (n._OrtCreateSessionOptions = (O, M, I, k, G, ne, ge, Ue, et, Ze) =>
                            (n._OrtCreateSessionOptions = H.O)(O, M, I, k, G, ne, ge, Ue, et, Ze)),
                        (n._OrtAppendExecutionProvider = (O, M) => (n._OrtAppendExecutionProvider = H.P)(O, M)),
                        (n._OrtAddFreeDimensionOverride = (O, M, I) => (n._OrtAddFreeDimensionOverride = H.Q)(O, M, I)),
                        (n._OrtAddSessionConfigEntry = (O, M, I) => (n._OrtAddSessionConfigEntry = H.R)(O, M, I)),
                        (n._OrtReleaseSessionOptions = (O) => (n._OrtReleaseSessionOptions = H.S)(O)),
                        (n._OrtCreateSession = (O, M, I) => (n._OrtCreateSession = H.T)(O, M, I)),
                        (n._OrtReleaseSession = (O) => (n._OrtReleaseSession = H.U)(O)),
                        (n._OrtGetInputOutputCount = (O, M, I) => (n._OrtGetInputOutputCount = H.V)(O, M, I)),
                        (n._OrtGetInputName = (O, M) => (n._OrtGetInputName = H.W)(O, M)),
                        (n._OrtGetOutputName = (O, M) => (n._OrtGetOutputName = H.X)(O, M)),
                        (n._OrtFree = (O) => (n._OrtFree = H.Y)(O)),
                        (n._OrtCreateTensor = (O, M, I, k, G, ne) => (n._OrtCreateTensor = H.Z)(O, M, I, k, G, ne)),
                        (n._OrtGetTensorData = (O, M, I, k, G) => (n._OrtGetTensorData = H._)(O, M, I, k, G)),
                        (n._OrtReleaseTensor = (O) => (n._OrtReleaseTensor = H.$)(O)),
                        (n._OrtCreateRunOptions = (O, M, I, k) => (n._OrtCreateRunOptions = H.aa)(O, M, I, k)),
                        (n._OrtAddRunConfigEntry = (O, M, I) => (n._OrtAddRunConfigEntry = H.ba)(O, M, I)),
                        (n._OrtReleaseRunOptions = (O) => (n._OrtReleaseRunOptions = H.ca)(O)),
                        (n._OrtCreateBinding = (O) => (n._OrtCreateBinding = H.da)(O)),
                        (n._OrtBindInput = (O, M, I) => (n._OrtBindInput = H.ea)(O, M, I)),
                        (n._OrtBindOutput = (O, M, I, k) => (n._OrtBindOutput = H.fa)(O, M, I, k)),
                        (n._OrtClearBoundOutputs = (O) => (n._OrtClearBoundOutputs = H.ga)(O)),
                        (n._OrtReleaseBinding = (O) => (n._OrtReleaseBinding = H.ha)(O)),
                        (n._OrtRunWithBinding = (O, M, I, k, G) => (n._OrtRunWithBinding = H.ia)(O, M, I, k, G)),
                        (n._OrtRun = (O, M, I, k, G, ne, ge, Ue) => (n._OrtRun = H.ja)(O, M, I, k, G, ne, ge, Ue)),
                        (n._OrtEndProfiling = (O) => (n._OrtEndProfiling = H.ka)(O));
                    var Kt = () => (Kt = H.la)(),
                        Gt = (n._malloc = (O) => (Gt = n._malloc = H.ma)(O));
                    n._free = (O) => (n._free = H.na)(O);
                    var Fr = (O) => (Fr = H.pa)(O),
                        Qt = () => (Qt = H.qa)(),
                        jr = (O) => (jr = H.ra)(O),
                        se = (O) => (se = H.sa)(O);
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                        var O = H;
                        O = Object.assign({}, O);
                        var M = (k) => () => k() >>> 0,
                            I = (k) => (G) => k(G) >>> 0;
                        return (O.la = M(O.la)), (O.ma = I(O.ma)), (O.qa = M(O.qa)), (O.sa = I(O.sa)), O;
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                        (n.stackSave = Qt),
                        (n.stackRestore = jr),
                        (n.UTF8ToString = Mt),
                        (n.stringToUTF8 = (O, M, I) => gt(O, re, M, I)),
                        (n.lengthBytesUTF8 = Ot);
                    var Nt;
                    ue = function O() {
                        Nt || Lt(), Nt || (ue = O);
                    };
                    function Lt() {
                        if (!(0 < he)) {
                            if (n.preRun)
                                for (typeof n.preRun == 'function' && (n.preRun = [n.preRun]); n.preRun.length; ) {
                                    var O = n.preRun.shift();
                                    Me.unshift(O);
                                }
                            for (; 0 < Me.length; ) Me.shift()(n);
                            if (!(0 < he || Nt || ((Nt = !0), (n.calledRun = !0), J))) {
                                for (; 0 < Y.length; ) Y.shift()(n);
                                for (s(n); 0 < _e.length; ) _e.shift()(n);
                            }
                        }
                    }
                    return Lt(), u.ready;
                }
            );
        })();
        typeof t == 'object' && typeof e == 'object'
            ? (e.exports = o)
            : typeof define == 'function' && define.amd && define([], () => o);
    }),
    Pp = me(() => {}),
    Ep = me(() => {}),
    Dp = {};
Pr(Dp, { cpus: () => ng });
var ng,
    Lp = L(() => {
        ng = void 0;
    }),
    Cp = me((t, e) => {
        var o = (() => {
            var i = typeof document < 'u' && document.currentScript ? document.currentScript.src : void 0;
            return (
                typeof __filename < 'u' && (i = i || __filename),
                function (u = {}) {
                    function n() {
                        return _e.buffer != X.buffer && qe(), X;
                    }
                    function s() {
                        return _e.buffer != X.buffer && qe(), ve;
                    }
                    function d() {
                        return _e.buffer != X.buffer && qe(), we;
                    }
                    function f() {
                        return _e.buffer != X.buffer && qe(), rt;
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                    function r() {
                        return _e.buffer != X.buffer && qe(), ot;
                    }
                    var a = u,
                        l,
                        p;
                    a.ready = new Promise((g, x) => {
                        (l = g), (p = x);
                    });
                    var m = Object.assign({}, a),
                        y = './this.program',
                        T = (g, x) => {
                            throw x;
                        },
                        v = typeof window == 'object',
                        S = typeof importScripts == 'function',
                        E =
                            typeof process == 'object' &&
                            typeof process.versions == 'object' &&
                            typeof process.versions.node == 'string',
                        A = a.ENVIRONMENT_IS_PTHREAD || !1,
                        F = '';
                    function B(g) {
                        return a.locateFile ? a.locateFile(g, F) : F + g;
                    }
                    var J, Q, re;
                    if (E) {
                        var V = (ta(), rr(ea)),
                            de = (na(), rr(ra));
                        (F = S ? de.dirname(F) + '/' : __dirname + '/'),
                            (J = (x, P) => (
                                (x = Ot(x) ? new URL(x) : de.normalize(x)), V.readFileSync(x, P ? void 0 : 'utf8')
                            )),
                            (re = (x) => ((x = J(x, !0)), x.buffer || (x = new Uint8Array(x)), x)),
                            (Q = (x, P, D, j = !0) => {
                                (x = Ot(x) ? new URL(x) : de.normalize(x)),
                                    V.readFile(x, j ? void 0 : 'utf8', (z, K) => {
                                        z ? D(z) : P(j ? K.buffer : K);
                                    });
                            }),
                            !a.thisProgram && 1 < process.argv.length && (y = process.argv[1].replace(/\\/g, '/')),
                            process.argv.slice(2),
                            (T = (x, P) => {
                                throw ((process.exitCode = x), P);
                            }),
                            (a.inspect = () => '[Emscripten Module object]');
                        let g;
                        try {
                            g = Pp();
                        } catch (x) {
                            throw (
                                (console.error(
                                    'The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'
                                ),
                                x)
                            );
                        }
                        global.Worker = g.Worker;
                    } else
                        (v || S) &&
                            (S
                                ? (F = self.location.href)
                                : typeof document < 'u' && document.currentScript && (F = document.currentScript.src),
                            typeof i < 'u' && i && (F = i),
                            F.indexOf('blob:') !== 0
                                ? (F = F.substr(0, F.replace(/[?#].*/, '').lastIndexOf('/') + 1))
                                : (F = ''),
                            E ||
                                ((J = (g) => {
                                    var x = new XMLHttpRequest();
                                    return x.open('GET', g, !1), x.send(null), x.responseText;
                                }),
                                S &&
                                    (re = (g) => {
                                        var x = new XMLHttpRequest();
                                        return (
                                            x.open('GET', g, !1),
                                            (x.responseType = 'arraybuffer'),
                                            x.send(null),
                                            new Uint8Array(x.response)
                                        );
                                    }),
                                (Q = (g, x, P) => {
                                    var D = new XMLHttpRequest();
                                    D.open('GET', g, !0),
                                        (D.responseType = 'arraybuffer'),
                                        (D.onload = () => {
                                            D.status == 200 || (D.status == 0 && D.response) ? x(D.response) : P();
                                        }),
                                        (D.onerror = P),
                                        D.send(null);
                                })));
                    E && typeof performance > 'u' && (global.performance = Ep().performance);
                    var ke = console.log.bind(console),
                        Ne = console.error.bind(console);
                    E &&
                        ((ke = (...g) =>
                            V.writeSync(
                                1,
                                g.join(' ') +
                                    `
`
                            )),
                        (Ne = (...g) =>
                            V.writeSync(
                                2,
                                g.join(' ') +
                                    `
`
                            )));
                    var Me = ke,
                        Y = Ne;
                    Object.assign(a, m),
                        (m = null),
                        typeof WebAssembly != 'object' && xt('no native wasm support detected');
                    var _e,
                        he,
                        ue = !1,
                        pe,
                        X,
                        ve,
                        we,
                        rt,
                        ot;
                    function qe() {
                        var g = _e.buffer;
                        (a.HEAP8 = X = new Int8Array(g)),
                            (a.HEAP16 = new Int16Array(g)),
                            (a.HEAPU8 = ve = new Uint8Array(g)),
                            (a.HEAPU16 = new Uint16Array(g)),
                            (a.HEAP32 = we = new Int32Array(g)),
                            (a.HEAPU32 = rt = new Uint32Array(g)),
                            (a.HEAPF32 = new Float32Array(g)),
                            (a.HEAPF64 = ot = new Float64Array(g));
                    }
                    var He = 16777216;
                    if (A) _e = a.wasmMemory;
                    else if (a.wasmMemory) _e = a.wasmMemory;
                    else if (
                        ((_e = new WebAssembly.Memory({ initial: He / 65536, maximum: 65536, shared: !0 })),
                        !(_e.buffer instanceof SharedArrayBuffer))
                    )
                        throw (
                            (Y(
                                'requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag'
                            ),
                            E &&
                                Y(
                                    '(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)'
                                ),
                            Error('bad memory'))
                        );
                    qe(), (He = _e.buffer.byteLength);
                    var Qe = [],
                        Be = [],
                        Ce = [],
                        Se = 0,
                        je = null;
                    function Tt() {
                        if ((Se--, Se == 0 && je)) {
                            var g = je;
                            (je = null), g();
                        }
                    }
                    function xt(g) {
                        throw (
                            ((g = 'Aborted(' + g + ')'),
                            Y(g),
                            (ue = !0),
                            (pe = 1),
                            (g = new WebAssembly.RuntimeError(g + '. Build with -sASSERTIONS for more info.')),
                            p(g),
                            g)
                        );
                    }
                    var Mt = (g) => g.startsWith('data:application/octet-stream;base64,'),
                        Ot = (g) => g.startsWith('file://'),
                        gt;
                    (gt = 'ort-wasm-threaded.wasm'), Mt(gt) || (gt = B(gt));
                    function yt(g) {
                        if (re) return re(g);
                        throw 'both async and sync fetching of the wasm failed';
                    }
                    function Or(g) {
                        if (v || S) {
                            if (typeof fetch == 'function' && !Ot(g))
                                return fetch(g, { credentials: 'same-origin' })
                                    .then((x) => {
                                        if (!x.ok) throw "failed to load wasm binary file at '" + g + "'";
                                        return x.arrayBuffer();
                                    })
                                    .catch(() => yt(g));
                            if (Q)
                                return new Promise((x, P) => {
                                    Q(g, (D) => x(new Uint8Array(D)), P);
                                });
                        }
                        return Promise.resolve().then(() => yt(g));
                    }
                    function Ht(g, x, P) {
                        return Or(g)
                            .then((D) => WebAssembly.instantiate(D, x))
                            .then((D) => D)
                            .then(P, (D) => {
                                Y(`failed to asynchronously prepare wasm: ${D}`), xt(D);
                            });
                    }
                    function Sr(g, x) {
                        var P = gt;
                        return typeof WebAssembly.instantiateStreaming != 'function' ||
                            Mt(P) ||
                            Ot(P) ||
                            E ||
                            typeof fetch != 'function'
                            ? Ht(P, g, x)
                            : fetch(P, { credentials: 'same-origin' }).then((D) =>
                                  WebAssembly.instantiateStreaming(D, g).then(x, function (j) {
                                      return (
                                          Y(`wasm streaming compile failed: ${j}`),
                                          Y('falling back to ArrayBuffer instantiation'),
                                          Ht(P, g, x)
                                      );
                                  })
                              );
                    }
                    var st,
                        Bt = {
                            921276: (g, x, P, D) => {
                                if (typeof a > 'u' || !a.cb) return 1;
                                if (
                                    ((g = Dt(g >>> 0)),
                                    g.startsWith('./') && (g = g.substring(2)),
                                    (g = a.cb.get(g)),
                                    !g)
                                )
                                    return 2;
                                if (((x >>>= 0), (P >>>= 0), (D >>>= 0), x + P > g.byteLength)) return 3;
                                try {
                                    return s().set(g.subarray(x, x + P), D >>> 0), 0;
                                } catch {
                                    return 4;
                                }
                            },
                        };
                    function At(g) {
                        (this.name = 'ExitStatus'),
                            (this.message = `Program terminated with exit(${g})`),
                            (this.status = g);
                    }
                    var It = (g) => {
                            g.terminate(), (g.onmessage = () => {});
                        },
                        Ar = (g) => {
                            se.Pa.length == 0 && (Qt(), se.Ya(se.Pa[0]));
                            var x = se.Pa.pop();
                            if (!x) return 6;
                            se.Qa.push(x), (se.Ma[g.Oa] = x), (x.Oa = g.Oa);
                            var P = { cmd: 'run', start_routine: g.kb, arg: g.hb, pthread_ptr: g.Oa };
                            return E && x.unref(), x.postMessage(P, g.qb), 0;
                        },
                        Et = 0,
                        Yt = typeof TextDecoder < 'u' ? new TextDecoder('utf8') : void 0,
                        Ir = (g, x, P) => {
                            x >>>= 0;
                            var D = x + P;
                            for (P = x; g[P] && !(P >= D); ) ++P;
                            if (16 < P - x && g.buffer && Yt)
                                return Yt.decode(
                                    g.buffer instanceof SharedArrayBuffer ? g.slice(x, P) : g.subarray(x, P)
                                );
                            for (D = ''; x < P; ) {
                                var j = g[x++];
                                if (j & 128) {
                                    var z = g[x++] & 63;
                                    if ((j & 224) == 192) D += String.fromCharCode(((j & 31) << 6) | z);
                                    else {
                                        var K = g[x++] & 63;
                                        (j =
                                            (j & 240) == 224
                                                ? ((j & 15) << 12) | (z << 6) | K
                                                : ((j & 7) << 18) | (z << 12) | (K << 6) | (g[x++] & 63)),
                                            65536 > j
                                                ? (D += String.fromCharCode(j))
                                                : ((j -= 65536),
                                                  (D += String.fromCharCode(55296 | (j >> 10), 56320 | (j & 1023))));
                                    }
                                } else D += String.fromCharCode(j);
                            }
                            return D;
                        },
                        Dt = (g, x) => ((g >>>= 0) ? Ir(s(), g, x) : ''),
                        Zr = (g) => {
                            var x = xn();
                            return (g = g()), Yr(x), g;
                        };
                    function H(g, x) {
                        var P = arguments.length - 2,
                            D = arguments;
                        return Zr(() => {
                            for (var j = On(8 * P), z = j >>> 3, K = 0; K < P; K++) {
                                var $e = D[2 + K];
                                r()[(z + K) >>> 0] = $e;
                            }
                            return si(g, P, j, x);
                        });
                    }
                    function Kt(g) {
                        if (A) return H(0, 1, g);
                        (pe = g), 0 < Et || (se.lb(), a.onExit?.(g), (ue = !0)), T(g, new At(g));
                    }
                    var Gt = (g) => {
                        if (((pe = g), A)) throw (Nt(g), 'unwind');
                        Kt(g);
                    };
                    function Fr() {
                        for (var g = a.numThreads; g--; ) Qt();
                        Qe.unshift(() => {
                            Se++, jr(() => Tt());
                        });
                    }
                    function Qt() {
                        var g = B('ort-wasm-threaded.worker.js');
                        (g = new Worker(g)), se.Pa.push(g);
                    }
                    function jr(g) {
                        A ? g() : Promise.all(se.Pa.map(se.Ya)).then(g);
                    }
                    var se = {
                        Pa: [],
                        Qa: [],
                        bb: [],
                        Ma: {},
                        Wa() {
                            A
                                ? ((se.receiveObjectTransfer = se.jb),
                                  (se.threadInitTLS = se.ab),
                                  (se.setExitStatus = se.$a))
                                : Fr();
                        },
                        $a: (g) => (pe = g),
                        tb: ['$terminateWorker'],
                        lb: () => {
                            for (var g of se.Qa) It(g);
                            for (g of se.Pa) It(g);
                            (se.Pa = []), (se.Qa = []), (se.Ma = []);
                        },
                        Za: (g) => {
                            var x = g.Oa;
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                        },
                        jb() {},
                        ab() {
                            se.bb.forEach((g) => g());
                        },
                        Ya: (g) =>
                            new Promise((x) => {
                                (g.onmessage = (z) => {
                                    z = z.data;
                                    var K = z.cmd;
                                    if (z.targetThread && z.targetThread != Hr()) {
                                        var $e = se.Ma[z.targetThread];
                                        $e
                                            ? $e.postMessage(z, z.transferList)
                                            : Y(
                                                  `Internal error! Worker sent a message "${K}" to target pthread ${z.targetThread}, but that thread no longer exists!`
                                              );
                                    } else
                                        K === 'checkMailbox'
                                            ? qr()
                                            : K === 'spawnThread'
                                            ? Ar(z)
                                            : K === 'cleanupThread'
                                            ? se.Za(se.Ma[z.thread])
                                            : K === 'killThread'
                                            ? ((z = z.thread),
                                              (K = se.Ma[z]),
                                              delete se.Ma[z],
                                              It(K),
                                              wn(z),
                                              se.Qa.splice(se.Qa.indexOf(K), 1),
                                              (K.Oa = 0))
                                            : K === 'cancelThread'
                                            ? se.Ma[z.thread].postMessage({ cmd: 'cancel' })
                                            : K === 'loaded'
                                            ? ((g.loaded = !0), E && !g.Oa && g.unref(), x(g))
                                            : K === 'alert'
                                            ? alert(`Thread ${z.threadId}: ${z.text}`)
                                            : z.target === 'setimmediate'
                                            ? g.postMessage(z)
                                            : K === 'callHandler'
                                            ? a[z.handler](...z.args)
                                            : K && Y(`worker sent an unknown command ${K}`);
                                }),
                                    (g.onerror = (z) => {
                                        throw (Y(`worker sent an error! ${z.filename}:${z.lineno}: ${z.message}`), z);
                                    }),
                                    E &&
                                        (g.on('message', (z) => g.onmessage({ data: z })),
                                        g.on('error', (z) => g.onerror(z)));
                                var P = [],
                                    D = ['onExit'],
                                    j;
                                for (j of D) a.hasOwnProperty(j) && P.push(j);
                                g.postMessage({
                                    cmd: 'load',
                                    handlers: P,
                                    urlOrBlob: a.mainScriptUrlOrBlob || i,
                                    wasmMemory: _e,
                                    wasmModule: he,
                                });
                            }),
                    };
                    a.PThread = se;
                    var Wt = (g) => {
                        for (; 0 < g.length; ) g.shift()(a);
                    };
                    a.establishStackSpace = () => {
                        var g = Hr(),
                            x = f()[((g + 52) >>> 2) >>> 0];
                        (g = f()[((g + 56) >>> 2) >>> 0]), ci(x, x - g), Yr(x);
                    };
                    function Nt(g) {
                        if (A) return H(1, 0, g);
                        Gt(g);
                    }
                    var Lt = [],
                        O;
                    a.invokeEntryPoint = (g, x) => {
                        var P = Lt[g];
                        P || (g >= Lt.length && (Lt.length = g + 1), (Lt[g] = P = O.get(g))),
                            (g = P(x)),
                            0 < Et ? se.$a(g) : vn(g);
                    };
                    function M(g) {
                        (this.Va = g - 24),
                            (this.gb = function (x) {
                                f()[((this.Va + 4) >>> 2) >>> 0] = x;
                            }),
                            (this.fb = function (x) {
                                f()[((this.Va + 8) >>> 2) >>> 0] = x;
                            }),
                            (this.Wa = function (x, P) {
                                this.eb(), this.gb(x), this.fb(P);
                            }),
                            (this.eb = function () {
                                f()[((this.Va + 16) >>> 2) >>> 0] = 0;
                            });
                    }
                    var I = 0;
                    function k(g, x, P, D) {
                        return A ? H(2, 1, g, x, P, D) : G(g, x, P, D);
                    }
                    function G(g, x, P, D) {
                        if (((g >>>= 0), (x >>>= 0), (P >>>= 0), (D >>>= 0), typeof SharedArrayBuffer > 'u'))
                            return (
                                Y(
                                    'Current environment does not support SharedArrayBuffer, pthreads are not available!'
                                ),
                                6
                            );
                        var j = [];
                        return A && j.length === 0
                            ? k(g, x, P, D)
                            : ((g = { kb: P, Oa: g, hb: D, qb: j }),
                              A ? ((g.sb = 'spawnThread'), postMessage(g, j), 0) : Ar(g));
                    }
                    function ne(g, x, P) {
                        return A ? H(3, 1, g, x, P) : 0;
                    }
                    function ge(g, x) {
                        if (A) return H(4, 1, g, x);
                    }
                    var Ue = (g) => {
                            for (var x = 0, P = 0; P < g.length; ++P) {
                                var D = g.charCodeAt(P);
                                127 >= D
                                    ? x++
                                    : 2047 >= D
                                    ? (x += 2)
                                    : 55296 <= D && 57343 >= D
                                    ? ((x += 4), ++P)
                                    : (x += 3);
                            }
                            return x;
                        },
                        et = (g, x, P, D) => {
                            if (((P >>>= 0), !(0 < D))) return 0;
                            var j = P;
                            D = P + D - 1;
                            for (var z = 0; z < g.length; ++z) {
                                var K = g.charCodeAt(z);
                                if (55296 <= K && 57343 >= K) {
                                    var $e = g.charCodeAt(++z);
                                    K = (65536 + ((K & 1023) << 10)) | ($e & 1023);
                                }
                                if (127 >= K) {
                                    if (P >= D) break;
                                    x[P++ >>> 0] = K;
                                } else {
                                    if (2047 >= K) {
                                        if (P + 1 >= D) break;
                                        x[P++ >>> 0] = 192 | (K >> 6);
                                    } else {
                                        if (65535 >= K) {
                                            if (P + 2 >= D) break;
                                            x[P++ >>> 0] = 224 | (K >> 12);
                                        } else {
                                            if (P + 3 >= D) break;
                                            (x[P++ >>> 0] = 240 | (K >> 18)), (x[P++ >>> 0] = 128 | ((K >> 12) & 63));
                                        }
                                        x[P++ >>> 0] = 128 | ((K >> 6) & 63);
                                    }
                                    x[P++ >>> 0] = 128 | (K & 63);
                                }
                            }
                            return (x[P >>> 0] = 0), P - j;
                        },
                        Ze = (g, x, P) => et(g, s(), x, P);
                    function Je(g, x) {
                        if (A) return H(5, 1, g, x);
                    }
                    function er(g, x, P) {
                        if (A) return H(6, 1, g, x, P);
                    }
                    function tr(g, x, P) {
                        return A ? H(7, 1, g, x, P) : 0;
                    }
                    function C(g, x) {
                        if (A) return H(8, 1, g, x);
                    }
                    function Te(g, x, P) {
                        if (A) return H(9, 1, g, x, P);
                    }
                    function Ie(g, x, P, D) {
                        if (A) return H(10, 1, g, x, P, D);
                    }
                    function at(g, x, P, D) {
                        if (A) return H(11, 1, g, x, P, D);
                    }
                    function lr(g, x, P, D) {
                        if (A) return H(12, 1, g, x, P, D);
                    }
                    function An(g) {
                        if (A) return H(13, 1, g);
                    }
                    function In(g, x) {
                        if (A) return H(14, 1, g, x);
                    }
                    function jn(g, x, P) {
                        if (A) return H(15, 1, g, x, P);
                    }
                    function Jr(g) {
                        (g >>>= 0),
                            typeof Atomics.rb == 'function' &&
                                (Atomics.rb(d(), g >>> 2, g).value.then(qr),
                                (g += 128),
                                Atomics.store(d(), g >>> 2, 1));
                    }
                    a.__emscripten_thread_mailbox_await = Jr;
                    var qr = () => {
                        var g = Hr();
                        if (g && (Jr(g), (g = ai), !ue))
                            try {
                                if ((g(), !(0 < Et)))
                                    try {
                                        A ? vn(pe) : Gt(pe);
                                    } catch (x) {
                                        x instanceof At || x == 'unwind' || T(1, x);
                                    }
                            } catch (x) {
                                x instanceof At || x == 'unwind' || T(1, x);
                            }
                    };
                    a.checkMailbox = qr;
                    var rn = [],
                        qt = (g) => g % 4 === 0 && (g % 100 !== 0 || g % 400 === 0),
                        qn = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335],
                        Hn = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334];
                    function Yn(g, x, P, D, j, z, K, $e) {
                        return A ? H(16, 1, g, x, P, D, j, z, K, $e) : -52;
                    }
                    function Mo(g, x, P, D, j, z, K) {
                        if (A) return H(17, 1, g, x, P, D, j, z, K);
                    }
                    var No = (g) => {
                            var x = Ue(g) + 1,
                                P = oi(x);
                            return P && Ze(g, P, x), P;
                        },
                        nn = [],
                        on = {},
                        Ro = () => {
                            if (!_n) {
                                var g = {
                                        USER: 'web_user',
                                        LOGNAME: 'web_user',
                                        PATH: '/',
                                        PWD: '/',
                                        HOME: '/home/web_user',
                                        LANG:
                                            (
                                                (typeof navigator == 'object' &&
                                                    navigator.languages &&
                                                    navigator.languages[0]) ||
                                                'C'
                                            ).replace('-', '_') + '.UTF-8',
                                        _: y || './this.program',
                                    },
                                    x;
                                for (x in on) on[x] === void 0 ? delete g[x] : (g[x] = on[x]);
                                var P = [];
                                for (x in g) P.push(`${x}=${g[x]}`);
                                _n = P;
                            }
                            return _n;
                        },
                        _n;
                    function Bo(g, x) {
                        if (A) return H(18, 1, g, x);
                        (g >>>= 0), (x >>>= 0);
                        var P = 0;
                        return (
                            Ro().forEach((D, j) => {
                                var z = x + P;
                                for (j = f()[((g + 4 * j) >>> 2) >>> 0] = z, z = 0; z < D.length; ++z)
                                    n()[(j++ >>> 0) >>> 0] = D.charCodeAt(z);
                                (n()[(j >>> 0) >>> 0] = 0), (P += D.length + 1);
                            }),
                            0
                        );
                    }
                    function Uo(g, x) {
                        if (A) return H(19, 1, g, x);
                        (g >>>= 0), (x >>>= 0);
                        var P = Ro();
                        f()[(g >>> 2) >>> 0] = P.length;
                        var D = 0;
                        return P.forEach((j) => (D += j.length + 1)), (f()[(x >>> 2) >>> 0] = D), 0;
                    }
                    function zo(g) {
                        return A ? H(20, 1, g) : 52;
                    }
                    function Vo(g, x, P, D) {
                        return A ? H(21, 1, g, x, P, D) : 52;
                    }
                    function Go(g, x, P, D, j) {
                        return A ? H(22, 1, g, x, P, D, j) : 70;
                    }
                    var zs = [null, [], []];
                    function Wo(g, x, P, D) {
                        if (A) return H(23, 1, g, x, P, D);
                        (x >>>= 0), (P >>>= 0), (D >>>= 0);
                        for (var j = 0, z = 0; z < P; z++) {
                            var K = f()[(x >>> 2) >>> 0],
                                $e = f()[((x + 4) >>> 2) >>> 0];
                            x += 8;
                            for (var ct = 0; ct < $e; ct++) {
                                var ze = s()[(K + ct) >>> 0],
                                    it = zs[g];
                                ze === 0 || ze === 10 ? ((g === 1 ? Me : Y)(Ir(it, 0)), (it.length = 0)) : it.push(ze);
                            }
                            j += $e;
                        }
                        return (f()[(D >>> 2) >>> 0] = j), 0;
                    }
                    var Jo = [31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31],
                        ti = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31];
                    function Vs(g) {
                        var x = Array(Ue(g) + 1);
                        return et(g, x, 0, x.length), x;
                    }
                    var Gs = (g, x) => {
                        n().set(g, x >>> 0);
                    };
                    function ri(g, x, P, D) {
                        function j(N, Ae, Le) {
                            for (N = typeof N == 'number' ? N.toString() : N || ''; N.length < Ae; ) N = Le[0] + N;
                            return N;
                        }
                        function z(N, Ae) {
                            return j(N, Ae, '0');
                        }
                        function K(N, Ae) {
                            function Le(Ns) {
                                return 0 > Ns ? -1 : 0 < Ns ? 1 : 0;
                            }
                            var Rt;
                            return (
                                (Rt = Le(N.getFullYear() - Ae.getFullYear())) === 0 &&
                                    (Rt = Le(N.getMonth() - Ae.getMonth())) === 0 &&
                                    (Rt = Le(N.getDate() - Ae.getDate())),
                                Rt
                            );
                        }
                        function $e(N) {
                            switch (N.getDay()) {
                                case 0:
                                    return new Date(N.getFullYear() - 1, 11, 29);
                                case 1:
                                    return N;
                                case 2:
                                    return new Date(N.getFullYear(), 0, 3);
                                case 3:
                                    return new Date(N.getFullYear(), 0, 2);
                                case 4:
                                    return new Date(N.getFullYear(), 0, 1);
                                case 5:
                                    return new Date(N.getFullYear() - 1, 11, 31);
                                case 6:
                                    return new Date(N.getFullYear() - 1, 11, 30);
                            }
                        }
                        function ct(N) {
                            var Ae = N.Ra;
                            for (N = new Date(new Date(N.Sa + 1900, 0, 1).getTime()); 0 < Ae; ) {
                                var Le = N.getMonth(),
                                    Rt = (qt(N.getFullYear()) ? Jo : ti)[Le];
                                if (Ae > Rt - N.getDate())
                                    (Ae -= Rt - N.getDate() + 1),
                                        N.setDate(1),
                                        11 > Le
                                            ? N.setMonth(Le + 1)
                                            : (N.setMonth(0), N.setFullYear(N.getFullYear() + 1));
                                else {
                                    N.setDate(N.getDate() + Ae);
                                    break;
                                }
                            }
                            return (
                                (Le = new Date(N.getFullYear() + 1, 0, 4)),
                                (Ae = $e(new Date(N.getFullYear(), 0, 4))),
                                (Le = $e(Le)),
                                0 >= K(Ae, N)
                                    ? 0 >= K(Le, N)
                                        ? N.getFullYear() + 1
                                        : N.getFullYear()
                                    : N.getFullYear() - 1
                            );
                        }
                        (g >>>= 0), (x >>>= 0), (P >>>= 0), (D >>>= 0);
                        var ze = f()[((D + 40) >>> 2) >>> 0];
                        (D = {
                            ob: d()[(D >>> 2) >>> 0],
                            nb: d()[((D + 4) >>> 2) >>> 0],
                            Ta: d()[((D + 8) >>> 2) >>> 0],
                            Xa: d()[((D + 12) >>> 2) >>> 0],
                            Ua: d()[((D + 16) >>> 2) >>> 0],
                            Sa: d()[((D + 20) >>> 2) >>> 0],
                            Na: d()[((D + 24) >>> 2) >>> 0],
                            Ra: d()[((D + 28) >>> 2) >>> 0],
                            ub: d()[((D + 32) >>> 2) >>> 0],
                            mb: d()[((D + 36) >>> 2) >>> 0],
                            pb: ze ? Dt(ze) : '',
                        }),
                            (P = Dt(P)),
                            (ze = {
                                '%c': '%a %b %d %H:%M:%S %Y',
                                '%D': '%m/%d/%y',
                                '%F': '%Y-%m-%d',
                                '%h': '%b',
                                '%r': '%I:%M:%S %p',
                                '%R': '%H:%M',
                                '%T': '%H:%M:%S',
                                '%x': '%m/%d/%y',
                                '%X': '%H:%M:%S',
                                '%Ec': '%c',
                                '%EC': '%C',
                                '%Ex': '%m/%d/%y',
                                '%EX': '%H:%M:%S',
                                '%Ey': '%y',
                                '%EY': '%Y',
                                '%Od': '%d',
                                '%Oe': '%e',
                                '%OH': '%H',
                                '%OI': '%I',
                                '%Om': '%m',
                                '%OM': '%M',
                                '%OS': '%S',
                                '%Ou': '%u',
                                '%OU': '%U',
                                '%OV': '%V',
                                '%Ow': '%w',
                                '%OW': '%W',
                                '%Oy': '%y',
                            });
                        for (var it in ze) P = P.replace(new RegExp(it, 'g'), ze[it]);
                        var fi = 'Sunday Monday Tuesday Wednesday Thursday Friday Saturday'.split(' '),
                            Cs =
                                'January February March April May June July August September October November December'.split(
                                    ' '
                                );
                        (ze = {
                            '%a': (N) => fi[N.Na].substring(0, 3),
                            '%A': (N) => fi[N.Na],
                            '%b': (N) => Cs[N.Ua].substring(0, 3),
                            '%B': (N) => Cs[N.Ua],
                            '%C': (N) => z(((N.Sa + 1900) / 100) | 0, 2),
                            '%d': (N) => z(N.Xa, 2),
                            '%e': (N) => j(N.Xa, 2, ' '),
                            '%g': (N) => ct(N).toString().substring(2),
                            '%G': (N) => ct(N),
                            '%H': (N) => z(N.Ta, 2),
                            '%I': (N) => ((N = N.Ta), N == 0 ? (N = 12) : 12 < N && (N -= 12), z(N, 2)),
                            '%j': (N) => {
                                for (var Ae = 0, Le = 0; Le <= N.Ua - 1; Ae += (qt(N.Sa + 1900) ? Jo : ti)[Le++]);
                                return z(N.Xa + Ae, 3);
                            },
                            '%m': (N) => z(N.Ua + 1, 2),
                            '%M': (N) => z(N.nb, 2),
                            '%n': () => `
`,
                            '%p': (N) => (0 <= N.Ta && 12 > N.Ta ? 'AM' : 'PM'),
                            '%S': (N) => z(N.ob, 2),
                            '%t': () => '	',
                            '%u': (N) => N.Na || 7,
                            '%U': (N) => z(Math.floor((N.Ra + 7 - N.Na) / 7), 2),
                            '%V': (N) => {
                                var Ae = Math.floor((N.Ra + 7 - ((N.Na + 6) % 7)) / 7);
                                if ((2 >= (N.Na + 371 - N.Ra - 2) % 7 && Ae++, Ae))
                                    Ae == 53 &&
                                        ((Le = (N.Na + 371 - N.Ra) % 7), Le == 4 || (Le == 3 && qt(N.Sa)) || (Ae = 1));
                                else {
                                    Ae = 52;
                                    var Le = (N.Na + 7 - N.Ra - 1) % 7;
                                    (Le == 4 || (Le == 5 && qt((N.Sa % 400) - 1))) && Ae++;
                                }
                                return z(Ae, 2);
                            },
                            '%w': (N) => N.Na,
                            '%W': (N) => z(Math.floor((N.Ra + 7 - ((N.Na + 6) % 7)) / 7), 2),
                            '%y': (N) => (N.Sa + 1900).toString().substring(2),
                            '%Y': (N) => N.Sa + 1900,
                            '%z': (N) => {
                                N = N.mb;
                                var Ae = 0 <= N;
                                return (
                                    (N = Math.abs(N) / 60),
                                    (Ae ? '+' : '-') + ('0000' + ((N / 60) * 100 + (N % 60))).slice(-4)
                                );
                            },
                            '%Z': (N) => N.pb,
                            '%%': () => '%',
                        }),
                            (P = P.replace(/%%/g, '\0\0'));
                        for (it in ze) P.includes(it) && (P = P.replace(new RegExp(it, 'g'), ze[it](D)));
                        return (
                            (P = P.replace(/\0\0/g, '%')), (it = Vs(P)), it.length > x ? 0 : (Gs(it, g), it.length - 1)
                        );
                    }
                    se.Wa();
                    var Ws = [
                            Kt,
                            Nt,
                            k,
                            ne,
                            ge,
                            Je,
                            er,
                            tr,
                            C,
                            Te,
                            Ie,
                            at,
                            lr,
                            An,
                            In,
                            jn,
                            Yn,
                            Mo,
                            Bo,
                            Uo,
                            zo,
                            Vo,
                            Go,
                            Wo,
                        ],
                        qs = {
                            b: function (g, x, P) {
                                throw ((g >>>= 0), new M(g).Wa(x >>> 0, P >>> 0), (I = g), I);
                            },
                            L: function (g) {
                                ii(g >>> 0, !S, 1, !v, 131072, !1), se.ab();
                            },
                            j: function (g) {
                                (g >>>= 0), A ? postMessage({ cmd: 'cleanupThread', thread: g }) : se.Za(se.Ma[g]);
                            },
                            H: G,
                            h: ne,
                            S: ge,
                            D: Je,
                            F: er,
                            T: tr,
                            Q: C,
                            J: Te,
                            P: Ie,
                            n: at,
                            E: lr,
                            B: An,
                            R: In,
                            C: jn,
                            p: () => 1,
                            z: function (g, x) {
                                (g >>>= 0),
                                    g == x >>> 0
                                        ? setTimeout(() => qr())
                                        : A
                                        ? postMessage({ targetThread: g, cmd: 'checkMailbox' })
                                        : (g = se.Ma[g]) && g.postMessage({ cmd: 'checkMailbox' });
                            },
                            I: function (g, x, P, D) {
                                (x >>>= 0), (rn.length = P), (D = (D >>> 0) >>> 3);
                                for (var j = 0; j < P; j++) rn[j] = r()[(D + j) >>> 0];
                                return (
                                    (g = 0 > g ? Bt[-g - 1] : Ws[g]),
                                    (se.ib = x),
                                    (x = g.apply(null, rn)),
                                    (se.ib = 0),
                                    x
                                );
                            },
                            K: Jr,
                            o: function (g) {
                                E && se.Ma[g >>> 0].ref();
                            },
                            s: function (g, x, P) {
                                (g = (x + 2097152) >>> 0 < 4194305 - !!g ? (g >>> 0) + 4294967296 * x : NaN),
                                    (P >>>= 0),
                                    (g = new Date(1e3 * g)),
                                    (d()[(P >>> 2) >>> 0] = g.getUTCSeconds()),
                                    (d()[((P + 4) >>> 2) >>> 0] = g.getUTCMinutes()),
                                    (d()[((P + 8) >>> 2) >>> 0] = g.getUTCHours()),
                                    (d()[((P + 12) >>> 2) >>> 0] = g.getUTCDate()),
                                    (d()[((P + 16) >>> 2) >>> 0] = g.getUTCMonth()),
                                    (d()[((P + 20) >>> 2) >>> 0] = g.getUTCFullYear() - 1900),
                                    (d()[((P + 24) >>> 2) >>> 0] = g.getUTCDay()),
                                    (g = ((g.getTime() - Date.UTC(g.getUTCFullYear(), 0, 1, 0, 0, 0, 0)) / 864e5) | 0),
                                    (d()[((P + 28) >>> 2) >>> 0] = g);
                            },
                            t: function (g, x, P) {
                                (g = (x + 2097152) >>> 0 < 4194305 - !!g ? (g >>> 0) + 4294967296 * x : NaN),
                                    (P >>>= 0),
                                    (g = new Date(1e3 * g)),
                                    (d()[(P >>> 2) >>> 0] = g.getSeconds()),
                                    (d()[((P + 4) >>> 2) >>> 0] = g.getMinutes()),
                                    (d()[((P + 8) >>> 2) >>> 0] = g.getHours()),
                                    (d()[((P + 12) >>> 2) >>> 0] = g.getDate()),
                                    (d()[((P + 16) >>> 2) >>> 0] = g.getMonth()),
                                    (d()[((P + 20) >>> 2) >>> 0] = g.getFullYear() - 1900),
                                    (d()[((P + 24) >>> 2) >>> 0] = g.getDay()),
                                    (x = ((qt(g.getFullYear()) ? qn : Hn)[g.getMonth()] + g.getDate() - 1) | 0),
                                    (d()[((P + 28) >>> 2) >>> 0] = x),
                                    (d()[((P + 36) >>> 2) >>> 0] = -(60 * g.getTimezoneOffset())),
                                    (x = new Date(g.getFullYear(), 6, 1).getTimezoneOffset());
                                var D = new Date(g.getFullYear(), 0, 1).getTimezoneOffset();
                                (g = (x != D && g.getTimezoneOffset() == Math.min(D, x)) | 0),
                                    (d()[((P + 32) >>> 2) >>> 0] = g);
                            },
                            u: function (g) {
                                g >>>= 0;
                                var x = new Date(
                                        d()[((g + 20) >>> 2) >>> 0] + 1900,
                                        d()[((g + 16) >>> 2) >>> 0],
                                        d()[((g + 12) >>> 2) >>> 0],
                                        d()[((g + 8) >>> 2) >>> 0],
                                        d()[((g + 4) >>> 2) >>> 0],
                                        d()[(g >>> 2) >>> 0],
                                        0
                                    ),
                                    P = d()[((g + 32) >>> 2) >>> 0],
                                    D = x.getTimezoneOffset(),
                                    j = new Date(x.getFullYear(), 6, 1).getTimezoneOffset(),
                                    z = new Date(x.getFullYear(), 0, 1).getTimezoneOffset(),
                                    K = Math.min(z, j);
                                return (
                                    0 > P
                                        ? (d()[((g + 32) >>> 2) >>> 0] = +(j != z && K == D))
                                        : 0 < P != (K == D) &&
                                          ((j = Math.max(z, j)), x.setTime(x.getTime() + 6e4 * ((0 < P ? K : j) - D))),
                                    (d()[((g + 24) >>> 2) >>> 0] = x.getDay()),
                                    (P = ((qt(x.getFullYear()) ? qn : Hn)[x.getMonth()] + x.getDate() - 1) | 0),
                                    (d()[((g + 28) >>> 2) >>> 0] = P),
                                    (d()[(g >>> 2) >>> 0] = x.getSeconds()),
                                    (d()[((g + 4) >>> 2) >>> 0] = x.getMinutes()),
                                    (d()[((g + 8) >>> 2) >>> 0] = x.getHours()),
                                    (d()[((g + 12) >>> 2) >>> 0] = x.getDate()),
                                    (d()[((g + 16) >>> 2) >>> 0] = x.getMonth()),
                                    (d()[((g + 20) >>> 2) >>> 0] = x.getYear()),
                                    (g = x.getTime()),
                                    isNaN(g) ? ((d()[(ni() >>> 2) >>> 0] = 61), (g = -1)) : (g /= 1e3),
                                    ui(
                                        ((st = g),
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                                    $e < j
                                        ? ((f()[(P >>> 2) >>> 0] = g), (f()[((P + 4) >>> 2) >>> 0] = x))
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                            c: () => {
                                xt('');
                            },
                            O: function (g, x, P) {
                                (g >>>= 0), (x >>>= 0), (P >>>= 0), (nn.length = 0);
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                                    var j = D != 105;
                                    (j &= D != 112),
                                        (P += j && P % 8 ? 4 : 0),
                                        nn.push(
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                                                : D == 105
                                                ? d()[(P >>> 2) >>> 0]
                                                : r()[(P >>> 3) >>> 0]
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                                        (P += j ? 8 : 4);
                                }
                                return Bt[g].apply(null, nn);
                            },
                            k: () => {},
                            i: () => Date.now(),
                            U: () => {
                                throw ((Et += 1), 'unwind');
                            },
                            A: function () {
                                return 4294901760;
                            },
                            e: () => performance.timeOrigin + performance.now(),
                            f: () => (E ? (Lp(), rr(Dp)).cpus().length : navigator.hardwareConcurrency),
                            x: function (g) {
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                                var x = s().length;
                                if (g <= x || 4294901760 < g) return !1;
                                for (var P = 1; 4 >= P; P *= 2) {
                                    var D = x * (1 + 0.2 / P);
                                    D = Math.min(D, g + 100663296);
                                    var j = Math;
                                    D = Math.max(g, D);
                                    e: {
                                        j =
                                            (j.min.call(j, 4294901760, D + ((65536 - (D % 65536)) % 65536)) -
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                                                65535) /
                                            65536;
                                        try {
                                            _e.grow(j), qe();
                                            var z = 1;
                                            break e;
                                        } catch {}
                                        z = void 0;
                                    }
                                    if (z) return !0;
                                }
                                return !1;
                            },
                            M: Bo,
                            N: Uo,
                            G: Gt,
                            g: zo,
                            m: Vo,
                            v: Go,
                            l: Wo,
                            a: _e || a.wasmMemory,
                            w: ri,
                            d: function (g, x, P, D) {
                                return ri(g >>> 0, x >>> 0, P >>> 0, D >>> 0);
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                        ie = (function () {
                            function g(P, D) {
                                return (
                                    (ie = P.exports),
                                    (ie = Hs()),
                                    se.bb.push(ie.za),
                                    (O = ie.Aa),
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                                    (he = D),
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                                    Y(`Module.instantiateWasm callback failed with error: ${P}`), p(P);
                                }
                            return (
                                Sr(x, function (P) {
                                    g(P.instance, P.module);
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                        (a._OrtCreateSession = (g, x, P) => (a._OrtCreateSession = ie.ba)(g, x, P)),
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                        (a._OrtFree = (g) => (a._OrtFree = ie.ga)(g)),
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                        (a._OrtClearBoundOutputs = (g) => (a._OrtClearBoundOutputs = ie.qa)(g)),
                        (a._OrtReleaseBinding = (g) => (a._OrtReleaseBinding = ie.ra)(g)),
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                        oi = (a._malloc = (g) => (oi = a._malloc = ie.xa)(g));
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                        (a.__emscripten_tls_init = () => (a.__emscripten_tls_init = ie.za)());
                    var ii = (a.__emscripten_thread_init = (g, x, P, D, j, z) =>
                        (ii = a.__emscripten_thread_init = ie.Ba)(g, x, P, D, j, z));
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                        vn = (a.__emscripten_thread_exit = (g) => (vn = a.__emscripten_thread_exit = ie.Fa)(g)),
                        ai = () => (ai = ie.Ga)(),
                        ui = (g) => (ui = ie.Ha)(g),
                        ci = (g, x) => (ci = ie.Ia)(g, x),
                        xn = () => (xn = ie.Ja)(),
                        Yr = (g) => (Yr = ie.Ka)(g),
                        On = (g) => (On = ie.La)(g);
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                        var g = ie;
                        g = Object.assign({}, g);
                        var x = (D) => () => D() >>> 0,
                            P = (D) => (j) => D(j) >>> 0;
                        return (
                            (g.va = x(g.va)),
                            (g.wa = x(g.wa)),
                            (g.xa = P(g.xa)),
                            (g.emscripten_main_runtime_thread_id = x(g.emscripten_main_runtime_thread_id)),
                            (g.Ja = x(g.Ja)),
                            (g.La = P(g.La)),
                            g
                        );
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                    (a.wasmMemory = _e),
                        (a.stackAlloc = On),
                        (a.stackSave = xn),
                        (a.stackRestore = Yr),
                        (a.keepRuntimeAlive = () => 0 < Et),
                        (a.UTF8ToString = Dt),
                        (a.stringToUTF8 = Ze),
                        (a.lengthBytesUTF8 = Ue),
                        (a.ExitStatus = At),
                        (a.PThread = se);
                    var Xr;
                    je = function g() {
                        Xr || di(), Xr || (je = g);
                    };
                    function di() {
                        if (!(0 < Se))
                            if (A) l(a), A || Wt(Be), startWorker(a);
                            else {
                                if (a.preRun)
                                    for (typeof a.preRun == 'function' && (a.preRun = [a.preRun]); a.preRun.length; )
                                        Qe.unshift(a.preRun.shift());
                                Wt(Qe),
                                    0 < Se ||
                                        Xr ||
                                        ((Xr = !0), (a.calledRun = !0), ue || (A || Wt(Be), l(a), A || Wt(Ce)));
                            }
                    }
                    return di(), u.ready;
                }
            );
        })();
        typeof t == 'object' && typeof e == 'object'
            ? (e.exports = o)
            : typeof define == 'function' && define.amd && define([], () => o);
    }),
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        e.exports =
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    sa,
    Po,
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    Rp,
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            (ig = Cp()),
            (sa = !1),
            (Po = !1),
            (Bp = !1),
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                if (typeof SharedArrayBuffer > 'u')
                    return (
                        typeof self < 'u' &&
                            !self.crossOriginIsolated &&
                            console.warn(
                                'env.wasm.numThreads is set to ' +
                                    t +
                                    ', but this will not work unless you enable crossOriginIsolated mode. See https://web.dev/cross-origin-isolation-guide/ for more info.'
                            ),
                        !1
                    );
                typeof process < 'u' &&
                    process.versions &&
                    process.versions.node &&
                    console.warn(
                        'env.wasm.numThreads is set to ' +
                            t +
                            ', however, currently onnxruntime-web does not support multi-threads in Node.js. Please consider using onnxruntime-node for performance critical scenarios.'
                    );
                try {
                    return (
                        typeof MessageChannel < 'u' && new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),
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                        )
                    );
                } catch {
                    return !1;
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            }),
            (sg = () => {
                try {
                    return WebAssembly.validate(
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                        ])
                    );
                } catch {
                    return !1;
                }
            }),
            (ug = (t, e) =>
                t
                    ? e
                        ? 'ort-wasm-simd-threaded.wasm'
                        : 'ort-wasm-simd.wasm'
                    : e
                    ? 'ort-wasm-threaded.wasm'
                    : 'ort-wasm.wasm'),
            (Rp = async (t) => {
                if (sa) return Promise.resolve();
                if (Po) throw new Error("multiple calls to 'initializeWebAssembly()' detected.");
                if (Bp) throw new Error("previous call to 'initializeWebAssembly()' failed.");
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                let e = t.initTimeout,
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                    i = t.simd,
                    u = ag(o),
                    n = i && sg(),
                    s = t.wasmPaths,
                    d = typeof s == 'string' ? s : void 0,
                    f = ug(n, u),
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                    a = !1,
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                        l.push(
                            new Promise((p) => {
                                setTimeout(() => {
                                    (a = !0), p();
                                }, e);
                            })
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                    l.push(
                        new Promise((p, m) => {
                            let y = u ? ig : Np,
                                T = {
                                    locateFile: (v, S) =>
                                        u && v.endsWith('.worker.js') && typeof Blob < 'u'
                                            ? URL.createObjectURL(new Blob([kp()], { type: 'text/javascript' }))
                                            : v.endsWith('.wasm')
                                            ? r || (d ?? S) + f
                                            : S + v,
                                };
                            if (u)
                                if (((T.numThreads = o), typeof Blob > 'u'))
                                    T.mainScriptUrlOrBlob = (void 0)(__dirname, 'ort-wasm-threaded.js');
                                else {
                                    let v = `var ortWasmThreaded=${y.toString()};`;
                                    T.mainScriptUrlOrBlob = new Blob([v], { type: 'text/javascript' });
                                }
                            y(T).then(
                                (v) => {
                                    (Po = !1), (sa = !0), (aa = v), p();
                                },
                                (v) => {
                                    (Po = !1), (Bp = !0), m(v);
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                    ),
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                )
                    throw new Error(`WebAssembly backend initializing failed due to timeout: ${e}ms`);
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            (Ee = () => {
                if (sa && aa) return aa;
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            (De = (t, e) => {
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                    u = o._malloc(i);
                return o.stringToUTF8(t, u, i), e.push(u), u;
            }),
            (bn = (t, e, o, i) => {
                if (typeof t == 'object' && t !== null) {
                    if (o.has(t)) throw new Error('Circular reference in options');
                    o.add(t);
                }
                Object.entries(t).forEach(([u, n]) => {
                    let s = e ? e + u : u;
                    if (typeof n == 'object') bn(n, s + '.', o, i);
                    else if (typeof n == 'string' || typeof n == 'number') i(s, n.toString());
                    else if (typeof n == 'boolean') i(s, n ? '1' : '0');
                    else throw new Error(`Can't handle extra config type: ${typeof n}`);
                });
            }),
            (Oe = (t) => {
                let e = Ee(),
                    o = e.stackSave();
                try {
                    let i = e.stackAlloc(8);
                    e._OrtGetLastError(i, i + 4);
                    let u = e.HEAP32[i / 4],
                        n = e.HEAPU32[i / 4 + 1],
                        s = n ? e.UTF8ToString(n) : '';
                    throw new Error(`${t} ERROR_CODE: ${u}, ERROR_MESSAGE: ${s}`);
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                    e.stackRestore(o);
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            Eo(),
            (Mp = (t) => {
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                    o = 0,
                    i = [],
                    u = t || {};
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                    if (t?.logSeverityLevel === void 0) u.logSeverityLevel = 2;
                    else if (
                        typeof t.logSeverityLevel != 'number' ||
                        !Number.isInteger(t.logSeverityLevel) ||
                        t.logSeverityLevel < 0 ||
                        t.logSeverityLevel > 4
                    )
                        throw new Error(`log serverity level is not valid: ${t.logSeverityLevel}`);
                    if (t?.logVerbosityLevel === void 0) u.logVerbosityLevel = 0;
                    else if (typeof t.logVerbosityLevel != 'number' || !Number.isInteger(t.logVerbosityLevel))
                        throw new Error(`log verbosity level is not valid: ${t.logVerbosityLevel}`);
                    t?.terminate === void 0 && (u.terminate = !1);
                    let n = 0;
                    return (
                        t?.tag !== void 0 && (n = De(t.tag, i)),
                        (o = e._OrtCreateRunOptions(u.logSeverityLevel, u.logVerbosityLevel, !!u.terminate, n)),
                        o === 0 && Oe("Can't create run options."),
                        t?.extra !== void 0 &&
                            bn(t.extra, '', new WeakSet(), (s, d) => {
                                let f = De(s, i),
                                    r = De(d, i);
                                e._OrtAddRunConfigEntry(o, f, r) !== 0 &&
                                    Oe(`Can't set a run config entry: ${s} - ${d}.`);
                            }),
                        [o, i]
                    );
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                    throw (o !== 0 && e._OrtReleaseRunOptions(o), i.forEach((s) => e._free(s)), n);
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            });
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    fg,
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        zr(),
            Eo(),
            (lg = (t) => {
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                        return 1;
                    case 'extended':
                        return 2;
                    case 'all':
                        return 99;
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                        throw new Error(`unsupported graph optimization level: ${t}`);
                }
            }),
            (fg = (t) => {
                switch (t) {
                    case 'sequential':
                        return 0;
                    case 'parallel':
                        return 1;
                    default:
                        throw new Error(`unsupported execution mode: ${t}`);
                }
            }),
            (cg = (t) => {
                t.extra || (t.extra = {}), t.extra.session || (t.extra.session = {});
                let e = t.extra.session;
                e.use_ort_model_bytes_directly || (e.use_ort_model_bytes_directly = '1'),
                    t.executionProviders &&
                        t.executionProviders.some((o) => (typeof o == 'string' ? o : o.name) === 'webgpu') &&
                        (t.enableMemPattern = !1);
            }),
            (pg = (t, e, o) => {
                for (let i of e) {
                    let u = typeof i == 'string' ? i : i.name;
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                            if (((u = 'WEBNN'), typeof i != 'string')) {
                                let s = i;
                                if (s?.deviceType) {
                                    let d = De('deviceType', o),
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                                    Ee()._OrtAddSessionConfigEntry(t, d, f) !== 0 &&
                                        Oe(`Can't set a session config entry: 'deviceType' - ${s.deviceType}.`);
                                }
                                if (s?.numThreads) {
                                    let d = s.numThreads;
                                    (typeof d != 'number' || !Number.isInteger(d) || d < 0) && (d = 0);
                                    let f = De('numThreads', o),
                                        r = De(d.toString(), o);
                                    Ee()._OrtAddSessionConfigEntry(t, f, r) !== 0 &&
                                        Oe(`Can't set a session config entry: 'numThreads' - ${s.numThreads}.`);
                                }
                                if (s?.powerPreference) {
                                    let d = De('powerPreference', o),
                                        f = De(s.powerPreference, o);
                                    Ee()._OrtAddSessionConfigEntry(t, d, f) !== 0 &&
                                        Oe(
                                            `Can't set a session config entry: 'powerPreference' - ${s.powerPreference}.`
                                        );
                                }
                            }
                            break;
                        case 'webgpu':
                            if (((u = 'JS'), typeof i != 'string')) {
                                let s = i;
                                if (s?.preferredLayout) {
                                    if (s.preferredLayout !== 'NCHW' && s.preferredLayout !== 'NHWC')
                                        throw new Error(
                                            `preferredLayout must be either 'NCHW' or 'NHWC': ${s.preferredLayout}`
                                        );
                                    let d = De('preferredLayout', o),
                                        f = De(s.preferredLayout, o);
                                    Ee()._OrtAddSessionConfigEntry(t, d, f) !== 0 &&
                                        Oe(
                                            `Can't set a session config entry: 'preferredLayout' - ${s.preferredLayout}.`
                                        );
                                }
                            }
                            break;
                        case 'wasm':
                        case 'cpu':
                            continue;
                        default:
                            throw new Error(`not supported execution provider: ${u}`);
                    }
                    let n = De(u, o);
                    Ee()._OrtAppendExecutionProvider(t, n) !== 0 && Oe(`Can't append execution provider: ${u}.`);
                }
            }),
            (Up = (t) => {
                let e = Ee(),
                    o = 0,
                    i = [],
                    u = t || {};
                cg(u);
                try {
                    let n = lg(u.graphOptimizationLevel ?? 'all'),
                        s = fg(u.executionMode ?? 'sequential'),
                        d = typeof u.logId == 'string' ? De(u.logId, i) : 0,
                        f = u.logSeverityLevel ?? 2;
                    if (!Number.isInteger(f) || f < 0 || f > 4)
                        throw new Error(`log serverity level is not valid: ${f}`);
                    let r = u.logVerbosityLevel ?? 0;
                    if (!Number.isInteger(r) || r < 0 || r > 4)
                        throw new Error(`log verbosity level is not valid: ${r}`);
                    let a = typeof u.optimizedModelFilePath == 'string' ? De(u.optimizedModelFilePath, i) : 0;
                    if (
                        ((o = e._OrtCreateSessionOptions(
                            n,
                            !!u.enableCpuMemArena,
                            !!u.enableMemPattern,
                            s,
                            !!u.enableProfiling,
                            0,
                            d,
                            f,
                            r,
                            a
                        )),
                        o === 0 && Oe("Can't create session options."),
                        u.executionProviders && pg(o, u.executionProviders, i),
                        u.freeDimensionOverrides)
                    )
                        for (let [l, p] of Object.entries(u.freeDimensionOverrides)) {
                            if (typeof l != 'string')
                                throw new Error(`free dimension override name must be a string: ${l}`);
                            if (typeof p != 'number' || !Number.isInteger(p) || p < 0)
                                throw new Error(`free dimension override value must be a non-negative integer: ${p}`);
                            let m = De(l, i);
                            e._OrtAddFreeDimensionOverride(o, m, p) !== 0 &&
                                Oe(`Can't set a free dimension override: ${l} - ${p}.`);
                        }
                    return (
                        u.extra !== void 0 &&
                            bn(u.extra, '', new WeakSet(), (l, p) => {
                                let m = De(l, i),
                                    y = De(p, i);
                                e._OrtAddSessionConfigEntry(o, m, y) !== 0 &&
                                    Oe(`Can't set a session config entry: ${l} - ${p}.`);
                            }),
                        [o, i]
                    );
                } catch (n) {
                    throw (o !== 0 && e._OrtReleaseSessionOptions(o), i.forEach((s) => e._free(s)), n);
                }
            });
    }),
    ua,
    Vp,
    la,
    Wp,
    Hp,
    Do,
    qp,
    fa = L(() => {
        (ua = (t) => {
            switch (t) {
                case 'int8':
                    return 3;
                case 'uint8':
                    return 2;
                case 'bool':
                    return 9;
                case 'int16':
                    return 5;
                case 'uint16':
                    return 4;
                case 'int32':
                    return 6;
                case 'uint32':
                    return 12;
                case 'float16':
                    return 10;
                case 'float32':
                    return 1;
                case 'float64':
                    return 11;
                case 'string':
                    return 8;
                case 'int64':
                    return 7;
                case 'uint64':
                    return 13;
                default:
                    throw new Error(`unsupported data type: ${t}`);
            }
        }),
            (Vp = (t) => {
                switch (t) {
                    case 3:
                        return 'int8';
                    case 2:
                        return 'uint8';
                    case 9:
                        return 'bool';
                    case 5:
                        return 'int16';
                    case 4:
                        return 'uint16';
                    case 6:
                        return 'int32';
                    case 12:
                        return 'uint32';
                    case 10:
                        return 'float16';
                    case 1:
                        return 'float32';
                    case 11:
                        return 'float64';
                    case 8:
                        return 'string';
                    case 7:
                        return 'int64';
                    case 13:
                        return 'uint64';
                    default:
                        throw new Error(`unsupported data type: ${t}`);
                }
            }),
            (la = (t) => [void 0, 4, 1, 1, 2, 2, 4, 8, void 0, 1, 2, 8, 4, 8, void 0, void 0, void 0][t]),
            (Wp = (t) => {
                switch (t) {
                    case 'float16':
                        return Uint16Array;
                    case 'float32':
                        return Float32Array;
                    case 'uint8':
                        return Uint8Array;
                    case 'int8':
                        return Int8Array;
                    case 'uint16':
                        return Uint16Array;
                    case 'int16':
                        return Int16Array;
                    case 'int32':
                        return Int32Array;
                    case 'bool':
                        return Uint8Array;
                    case 'float64':
                        return Float64Array;
                    case 'uint32':
                        return Uint32Array;
                    case 'int64':
                        return BigInt64Array;
                    case 'uint64':
                        return BigUint64Array;
                    default:
                        throw new Error(`unsupported type: ${t}`);
                }
            }),
            (Hp = (t) => {
                switch (t) {
                    case 'verbose':
                        return 0;
                    case 'info':
                        return 1;
                    case 'warning':
                        return 2;
                    case 'error':
                        return 3;
                    case 'fatal':
                        return 4;
                    default:
                        throw new Error(`unsupported logging level: ${t}`);
                }
            }),
            (Do = (t) =>
                t === 'float32' || t === 'int32' || t === 'int64' || t === 'bool' || t === 'float16' || t === 'uint32'),
            (qp = (t) => {
                switch (t) {
                    case 'none':
                        return 0;
                    case 'cpu':
                        return 1;
                    case 'cpu-pinned':
                        return 2;
                    case 'texture':
                        return 3;
                    case 'gpu-buffer':
                        return 4;
                    default:
                        throw new Error(`unsupported data location: ${t}`);
                }
            });
    }),
    gn,
    ca = L(() => {
        gn = async (t) => {
            if (typeof t == 'string')
                if (typeof process < 'u' && process.versions && process.versions.node)
                    try {
                        return new Uint8Array(await (void 0)(t));
                    } catch (e) {
                        if (e.code === 'ERR_FS_FILE_TOO_LARGE') {
                            let o = (void 0)(t),
                                i = [];
                            for await (let u of o) i.push(u);
                            return new Uint8Array(Buffer.concat(i));
                        }
                        throw e;
                    }
                else {
                    let e = await fetch(t);
                    if (!e.ok) throw new Error(`failed to load external data file: ${t}`);
                    let o = e.headers.get('Content-Length'),
                        i = o ? parseInt(o, 10) : 0;
                    if (i < 1073741824) return new Uint8Array(await e.arrayBuffer());
                    {
                        if (!e.body) throw new Error(`failed to load external data file: ${t}, no response body.`);
                        let u = e.body.getReader(),
                            n;
                        try {
                            n = new ArrayBuffer(i);
                        } catch (d) {
                            if (d instanceof RangeError) {
                                let f = Math.ceil(i / 65536);
                                n = new WebAssembly.Memory({ initial: f, maximum: f }).buffer;
                            } else throw d;
                        }
                        let s = 0;
                        for (;;) {
                            let { done: d, value: f } = await u.read();
                            if (d) break;
                            let r = f.byteLength;
                            new Uint8Array(n, s, r).set(f), (s += r);
                        }
                        return new Uint8Array(n, 0, i);
                    }
                }
            else
                return t instanceof Blob
                    ? new Uint8Array(await t.arrayBuffer())
                    : t instanceof Uint8Array
                    ? t
                    : new Uint8Array(t);
        };
    }),
    dg,
    Yp,
    Xp,
    yn,
    hg,
    pa,
    Kp,
    Jp,
    jp,
    Zp,
    Qp,
    ed,
    td = L(() => {
        Gp(),
            zp(),
            fa(),
            zr(),
            Eo(),
            ca(),
            (dg = (t, e) => {
                Ee()._OrtInit(t, e) !== 0 && Oe("Can't initialize onnxruntime.");
            }),
            (Yp = async (t) => {
                dg(t.wasm.numThreads, Hp(t.logLevel));
            }),
            (Xp = async (t, e) => {}),
            (yn = new Map()),
            (hg = (t) => {
                let e = Ee(),
                    o = e.stackSave();
                try {
                    let i = e.stackAlloc(8);
                    return (
                        e._OrtGetInputOutputCount(t, i, i + 4) !== 0 && Oe("Can't get session input/output count."),
                        [e.HEAP32[i / 4], e.HEAP32[i / 4 + 1]]
                    );
                } finally {
                    e.stackRestore(o);
                }
            }),
            (pa = (t) => {
                let e = Ee(),
                    o = e._malloc(t.byteLength);
                if (o === 0)
                    throw new Error(`Can't create a session. failed to allocate a buffer of size ${t.byteLength}.`);
                return e.HEAPU8.set(t, o), [o, t.byteLength];
            }),
            (Kp = async (t, e) => {
                let o,
                    i,
                    u = Ee();
                Array.isArray(t)
                    ? ([o, i] = t)
                    : t.buffer === u.HEAPU8.buffer
                    ? ([o, i] = [t.byteOffset, t.byteLength])
                    : ([o, i] = pa(t));
                let n = 0,
                    s = 0,
                    d = [],
                    f = [],
                    r = [];
                try {
                    if ((([s, d] = Up(e)), e?.externalData && u.mountExternalData)) {
                        let v = [];
                        for (let S of e.externalData) {
                            let E = typeof S == 'string' ? S : S.path;
                            v.push(
                                gn(typeof S == 'string' ? S : S.data).then((A) => {
                                    u.mountExternalData(E, A);
                                })
                            );
                        }
                        await Promise.all(v);
                    }
                    (n = u._OrtCreateSession(o, i, s)), n === 0 && Oe("Can't create a session.");
                    let [a, l] = hg(n),
                        p = [],
                        m = [],
                        y = [];
                    for (let v = 0; v < a; v++) {
                        let S = u._OrtGetInputName(n, v);
                        S === 0 && Oe("Can't get an input name."), f.push(S), p.push(u.UTF8ToString(S));
                    }
                    for (let v = 0; v < l; v++) {
                        let S = u._OrtGetOutputName(n, v);
                        S === 0 && Oe("Can't get an output name."), r.push(S);
                        let E = u.UTF8ToString(S);
                        m.push(E);
                    }
                    return yn.set(n, [n, f, r, null]), [n, p, m];
                } catch (a) {
                    throw (
                        (f.forEach((l) => u._OrtFree(l)),
                        r.forEach((l) => u._OrtFree(l)),
                        n !== 0 && u._OrtReleaseSession(n),
                        a)
                    );
                } finally {
                    u._free(o),
                        s !== 0 && u._OrtReleaseSessionOptions(s),
                        d.forEach((a) => u._free(a)),
                        u.unmountExternalData?.();
                }
            }),
            (Jp = (t) => {
                let e = Ee(),
                    o = yn.get(t);
                if (!o) throw new Error(`cannot release session. invalid session id: ${t}`);
                let [i, u, n, s] = o;
                s && e._OrtReleaseBinding(s.handle),
                    e.jsepUnregisterBuffers?.(t),
                    u.forEach((d) => e._OrtFree(d)),
                    n.forEach((d) => e._OrtFree(d)),
                    e._OrtReleaseSession(i),
                    yn.delete(t);
            }),
            (jp = (t, e, o, i, u) => {
                if (!t) {
                    e.push(0);
                    return;
                }
                let n = Ee(),
                    s = t[0],
                    d = t[1],
                    f = t[3],
                    r,
                    a;
                if (s === 'string' && f === 'gpu-buffer') throw new Error('String tensor is not supported on GPU.');
                if (f === 'gpu-buffer') {
                    let m = t[2].gpuBuffer,
                        y = la(ua(s));
                    (a = d.reduce((T, v) => T * v, 1) * y), (r = n.jsepRegisterBuffer(i, u, m, a));
                } else {
                    let m = t[2];
                    if (Array.isArray(m)) {
                        (a = 4 * m.length), (r = n._malloc(a)), o.push(r);
                        let y = r / 4;
                        for (let T = 0; T < m.length; T++) {
                            if (typeof m[T] != 'string')
                                throw new TypeError(`tensor data at index ${T} is not a string`);
                            n.HEAPU32[y++] = De(m[T], o);
                        }
                    } else
                        (a = m.byteLength),
                            (r = n._malloc(a)),
                            o.push(r),
                            n.HEAPU8.set(new Uint8Array(m.buffer, m.byteOffset, a), r);
                }
                let l = n.stackSave(),
                    p = n.stackAlloc(4 * d.length);
                try {
                    let m = p / 4;
                    d.forEach((T) => (n.HEAP32[m++] = T));
                    let y = n._OrtCreateTensor(ua(s), r, a, p, d.length, qp(f));
                    y === 0 && Oe(`Can't create tensor for input/output. session=${i}, index=${u}.`), e.push(y);
                } finally {
                    n.stackRestore(l);
                }
            }),
            (Zp = async (t, e, o, i, u, n) => {
                let s = Ee(),
                    d = yn.get(t);
                if (!d) throw new Error(`cannot run inference. invalid session id: ${t}`);
                let [f, r, a, l] = d,
                    p = e.length,
                    m = i.length,
                    y = 0,
                    T = [],
                    v = [],
                    S = [],
                    E = [],
                    A = s.stackSave(),
                    F = s.stackAlloc(p * 4),
                    B = s.stackAlloc(p * 4),
                    J = s.stackAlloc(m * 4),
                    Q = s.stackAlloc(m * 4);
                try {
                    [y, T] = Mp(n);
                    for (let Y = 0; Y < p; Y++) jp(o[Y], v, E, t, e[Y]);
                    for (let Y = 0; Y < m; Y++) jp(u[Y], S, E, t, p + i[Y]);
                    let re = F / 4,
                        V = B / 4,
                        de = J / 4,
                        ke = Q / 4;
                    for (let Y = 0; Y < p; Y++) (s.HEAPU32[re++] = v[Y]), (s.HEAPU32[V++] = r[e[Y]]);
                    for (let Y = 0; Y < m; Y++) (s.HEAPU32[de++] = S[Y]), (s.HEAPU32[ke++] = a[i[Y]]);
                    let Ne;
                    (Ne = await s._OrtRun(f, B, F, p, Q, m, J, y)), Ne !== 0 && Oe('failed to call OrtRun().');
                    let Me = [];
                    for (let Y = 0; Y < m; Y++) {
                        let _e = s.HEAPU32[J / 4 + Y];
                        if (_e === S[Y]) {
                            Me.push(u[Y]);
                            continue;
                        }
                        let he = s.stackSave(),
                            ue = s.stackAlloc(4 * 4),
                            pe = !1,
                            X,
                            ve = 0;
                        try {
                            s._OrtGetTensorData(_e, ue, ue + 4, ue + 8, ue + 12) !== 0 &&
                                Oe(`Can't access output tensor data on index ${Y}.`);
                            let we = ue / 4,
                                rt = s.HEAPU32[we++];
                            ve = s.HEAPU32[we++];
                            let ot = s.HEAPU32[we++],
                                qe = s.HEAPU32[we++],
                                He = [];
                            for (let Ce = 0; Ce < qe; Ce++) He.push(s.HEAPU32[ot / 4 + Ce]);
                            s._OrtFree(ot);
                            let Qe = He.reduce((Ce, Se) => Ce * Se, 1);
                            X = Vp(rt);
                            let Be = l?.outputPreferredLocations[i[Y]];
                            if (X === 'string') {
                                if (Be === 'gpu-buffer') throw new Error('String tensor is not supported on GPU.');
                                let Ce = [],
                                    Se = ve / 4;
                                for (let je = 0; je < Qe; je++) {
                                    let Tt = s.HEAPU32[Se++],
                                        xt = je === Qe - 1 ? void 0 : s.HEAPU32[Se] - Tt;
                                    Ce.push(s.UTF8ToString(Tt, xt));
                                }
                                Me.push([X, He, Ce, 'cpu']);
                            } else if (Be === 'gpu-buffer' && Qe > 0) {
                                let Ce = s.jsepGetBuffer(ve),
                                    Se = la(rt);
                                if (Se === void 0 || !Do(X)) throw new Error(`Unsupported data type: ${X}`);
                                (pe = !0),
                                    Me.push([
                                        X,
                                        He,
                                        {
                                            gpuBuffer: Ce,
                                            download: s.jsepCreateDownloader(Ce, Qe * Se, X),
                                            dispose: () => {
                                                s._OrtReleaseTensor(_e);
                                            },
                                        },
                                        'gpu-buffer',
                                    ]);
                            } else {
                                let Ce = Wp(X),
                                    Se = new Ce(Qe);
                                new Uint8Array(Se.buffer, Se.byteOffset, Se.byteLength).set(
                                    s.HEAPU8.subarray(ve, ve + Se.byteLength)
                                ),
                                    Me.push([X, He, Se, 'cpu']);
                            }
                        } finally {
                            s.stackRestore(he), X === 'string' && ve && s._free(ve), pe || s._OrtReleaseTensor(_e);
                        }
                    }
                    return l && s._OrtClearBoundOutputs(l.handle), Me;
                } finally {
                    s.stackRestore(A),
                        v.forEach((re) => s._OrtReleaseTensor(re)),
                        S.forEach((re) => s._OrtReleaseTensor(re)),
                        E.forEach((re) => s._free(re)),
                        y !== 0 && s._OrtReleaseRunOptions(y),
                        T.forEach((re) => s._free(re));
                }
            }),
            (Qp = (t) => {
                let e = Ee(),
                    o = yn.get(t);
                if (!o) throw new Error('invalid session id');
                let i = o[0],
                    u = e._OrtEndProfiling(i);
                u === 0 && Oe("Can't get an profile file name."), e._OrtFree(u);
            }),
            (ed = (t) => {
                let e = [];
                for (let o of t) {
                    let i = o[2];
                    !Array.isArray(i) && 'buffer' in i && e.push(i.buffer);
                }
                return e;
            });
    }),
    rd = me((t, e) => {
        e.exports =
            '/*!\n * ONNX Runtime Web v1.17.1\n * Copyright (c) Microsoft Corporation. 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                            bt.postMessage(i);
                        })
                    );
                Jp(t);
            }),
            (ud = async (t, e, o, i, u, n) => {
                if (xr()) {
                    if (o.some((s) => s[3] !== 'cpu'))
                        throw new Error('input tensor on GPU is not supported for proxy.');
                    if (u.some((s) => s)) throw new Error('pre-allocated output tensor is not supported for proxy.');
                    return (
                        Wr(),
                        new Promise((s, d) => {
                            Vr('run', [s, d]);
                            let f = o,
                                r = {
                                    type: 'run',
                                    in: { sessionId: t, inputIndices: e, inputs: f, outputIndices: i, options: n },
                                };
                            bt.postMessage(r, ed(f));
                        })
                    );
                } else return Zp(t, e, o, i, u, n);
            }),
            (ld = async (t) => {
                if (xr())
                    return (
                        Wr(),
                        new Promise((e, o) => {
                            Vr('end-profiling', [e, o]);
                            let i = { type: 'end-profiling', in: t };
                            bt.postMessage(i);
                        })
                    );
                Qp(t);
            });
    }),
    fd,
    yg,
    Co,
    cd = L(() => {
        vt(),
            ma(),
            fa(),
            ca(),
            (fd = (t, e) => {
                switch (t.location) {
                    case 'cpu':
                        return [t.type, t.dims, t.data, 'cpu'];
                    case 'gpu-buffer':
                        return [t.type, t.dims, { gpuBuffer: t.gpuBuffer }, 'gpu-buffer'];
                    default:
                        throw new Error(`invalid data location: ${t.location} for ${e()}`);
                }
            }),
            (yg = (t) => {
                switch (t[3]) {
                    case 'cpu':
                        return new Re(t[0], t[2], t[1]);
                    case 'gpu-buffer': {
                        let e = t[0];
                        if (!Do(e)) throw new Error(`not supported data type: ${e} for deserializing GPU tensor`);
                        let { gpuBuffer: o, download: i, dispose: u } = t[2];
                        return Re.fromGpuBuffer(o, { dataType: e, dims: t[1], download: i, dispose: u });
                    }
                    default:
                        throw new Error(`invalid data location: ${t[3]}`);
                }
            }),
            (Co = class {
                async fetchModelAndCopyToWasmMemory(t) {
                    return id(await gn(t));
                }
                async loadModel(t, e) {
                    ar();
                    let o;
                    typeof t == 'string'
                        ? typeof process < 'u' && process.versions && process.versions.node
                            ? (o = await gn(t))
                            : (o = await this.fetchModelAndCopyToWasmMemory(t))
                        : (o = t),
                        ([this.sessionId, this.inputNames, this.outputNames] = await ad(o, e)),
                        sr();
                }
                async dispose() {
                    return sd(this.sessionId);
                }
                async run(t, e, o) {
                    ar();
                    let i = [],
                        u = [];
                    Object.entries(t).forEach((l) => {
                        let p = l[0],
                            m = l[1],
                            y = this.inputNames.indexOf(p);
                        if (y === -1) throw new Error(`invalid input '${p}'`);
                        i.push(m), u.push(y);
                    });
                    let n = [],
                        s = [];
                    Object.entries(e).forEach((l) => {
                        let p = l[0],
                            m = l[1],
                            y = this.outputNames.indexOf(p);
                        if (y === -1) throw new Error(`invalid output '${p}'`);
                        n.push(m), s.push(y);
                    });
                    let d = i.map((l, p) => fd(l, () => `input "${this.inputNames[u[p]]}"`)),
                        f = n.map((l, p) => (l ? fd(l, () => `output "${this.outputNames[s[p]]}"`) : null)),
                        r = await ud(this.sessionId, u, d, s, f, o),
                        a = {};
                    for (let l = 0; l < r.length; l++) a[this.outputNames[s[l]]] = n[l] ?? yg(r[l]);
                    return sr(), a;
                }
                startProfiling() {}
                endProfiling() {
                    ld(this.sessionId);
                }
            });
    }),
    Tg,
    ko,
    pd = L(() => {
        vt(),
            ma(),
            cd(),
            (Tg = () => {
                if (
                    ((typeof Z.wasm.initTimeout != 'number' || Z.wasm.initTimeout < 0) && (Z.wasm.initTimeout = 0),
                    typeof Z.wasm.simd != 'boolean' && (Z.wasm.simd = !0),
                    typeof Z.wasm.proxy != 'boolean' && (Z.wasm.proxy = !1),
                    typeof Z.wasm.trace != 'boolean' && (Z.wasm.trace = !1),
                    typeof Z.wasm.numThreads != 'number' ||
                        !Number.isInteger(Z.wasm.numThreads) ||
                        Z.wasm.numThreads <= 0)
                ) {
                    ((typeof self < 'u' && !self.crossOriginIsolated) ||
                        (typeof process < 'u' && process.versions && process.versions.node)) &&
                        (Z.wasm.numThreads = 1);
                    let t = typeof navigator > 'u' ? (void 0)().length : navigator.hardwareConcurrency;
                    Z.wasm.numThreads = Math.min(4, Math.ceil((t || 1) / 2));
                }
            }),
            (ko = class {
                async init(t) {
                    Tg(), await nd(), await od(t);
                }
                async createInferenceSessionHandler(t, e) {
                    let o = new Co();
                    return await o.loadModel(t, e), Promise.resolve(o);
                }
            });
    }),
    dd = {};
Pr(dd, { wasmBackend: () => xg });
var xg,
    hd = L(() => {
        pd(), (xg = new ko());
    });
vt();
vt();
vt();
var ys = '1.17.1',
    zO = Yo;
{
    let t = (_p(), rr(wp)).onnxjsBackend;
    or('webgl', t, -10);
}
{
    let t = (hd(), rr(dd)).wasmBackend;
    or('cpu', t, 10), or('wasm', t, 10), or('webnn', t, 9);
}
Object.defineProperty(Z.versions, 'web', { value: ys, enumerable: !0 });
/*! Bundled license information:

long/index.js:
  (**
   * @license
   * Copyright 2009 The Closure Library Authors
   * Copyright 2020 Daniel Wirtz / The long.js Authors.
   *
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   *     http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   *
   * SPDX-License-Identifier: Apache-2.0
   *)
*/ const ONNX_WEB = Object.freeze(
        Object.defineProperty(
            {
                __proto__: null,
                get InferenceSession() {
                    return Sd;
                },
                get TRACE() {
                    return cs;
                },
                get TRACE_FUNC_BEGIN() {
                    return ar;
                },
                get TRACE_FUNC_END() {
                    return sr;
                },
                get Tensor() {
                    return Re;
                },
                get TrainingSession() {
                    return Pd;
                },
                default: zO,
                get env() {
                    return Z;
                },
                get registerBackend() {
                    return or;
                },
            },
            Symbol.toStringTag,
            { value: 'Module' }
        )
    ),
    tensorToDataURL = (t, e) => {
        const o = typeof document < 'u' ? document.createElement('canvas') : new OffscreenCanvas(1, 1);
        (o.width = t.dims[3]), (o.height = t.dims[2]);
        const i = o.getContext('2d');
        if (i != null) {
            let u, n;
            e?.tensorLayout !== void 0 && e.tensorLayout === 'NHWC'
                ? ((u = t.dims[2]), (n = t.dims[3]))
                : ((u = t.dims[3]), (n = t.dims[2]));
            const s = e?.format !== void 0 ? e.format : 'RGB',
                d = e?.norm;
            let f, r;
            d === void 0 || d.mean === void 0
                ? (f = [255, 255, 255, 255])
                : typeof d.mean == 'number'
                ? (f = [d.mean, d.mean, d.mean, d.mean])
                : ((f = [d.mean[0], d.mean[1], d.mean[2], 0]), d.mean[3] !== void 0 && (f[3] = d.mean[3])),
                d === void 0 || d.bias === void 0
                    ? (r = [0, 0, 0, 0])
                    : typeof d.bias == 'number'
                    ? (r = [d.bias, d.bias, d.bias, d.bias])
                    : ((r = [d.bias[0], d.bias[1], d.bias[2], 0]), d.bias[3] !== void 0 && (r[3] = d.bias[3]));
            const a = n * u;
            let l = 0,
                p = a,
                m = a * 2,
                y = -1;
            s === 'RGBA'
                ? ((l = 0), (p = a), (m = a * 2), (y = a * 3))
                : s === 'RGB'
                ? ((l = 0), (p = a), (m = a * 2))
                : s === 'RBG' && ((l = 0), (m = a), (p = a * 2));
            for (let T = 0; T < n; T++)
                for (let v = 0; v < u; v++) {
                    const S = (t.data[l++] - r[0]) * f[0],
                        E = (t.data[p++] - r[1]) * f[1],
                        A = (t.data[m++] - r[2]) * f[2],
                        F = y === -1 ? 255 : (t.data[y++] - r[3]) * f[3];
                    (i.fillStyle = 'rgba(' + S + ',' + E + ',' + A + ',' + F + ')'), i.fillRect(v, T, 1, 1);
                }
            if ('toDataURL' in o) return o.toDataURL();
            throw new Error('toDataURL is not supported');
        } else throw new Error('Can not access image data');
    },
    tensorToImageData = (t, e) => {
        const o =
            typeof document < 'u'
                ? document.createElement('canvas').getContext('2d')
                : new OffscreenCanvas(1, 1).getContext('2d');
        let i;
        if (o != null) {
            let u, n, s;
            e?.tensorLayout !== void 0 && e.tensorLayout === 'NHWC'
                ? ((u = t.dims[2]), (n = t.dims[1]), (s = t.dims[3]))
                : ((u = t.dims[3]), (n = t.dims[2]), (s = t.dims[1]));
            const d = e !== void 0 && e.format !== void 0 ? e.format : 'RGB',
                f = e?.norm;
            let r, a;
            f === void 0 || f.mean === void 0
                ? (r = [255, 255, 255, 255])
                : typeof f.mean == 'number'
                ? (r = [f.mean, f.mean, f.mean, f.mean])
                : ((r = [f.mean[0], f.mean[1], f.mean[2], 255]), f.mean[3] !== void 0 && (r[3] = f.mean[3])),
                f === void 0 || f.bias === void 0
                    ? (a = [0, 0, 0, 0])
                    : typeof f.bias == 'number'
                    ? (a = [f.bias, f.bias, f.bias, f.bias])
                    : ((a = [f.bias[0], f.bias[1], f.bias[2], 0]), f.bias[3] !== void 0 && (a[3] = f.bias[3]));
            const l = n * u;
            if (
                e !== void 0 &&
                ((e.format !== void 0 && s === 4 && e.format !== 'RGBA') ||
                    (s === 3 && e.format !== 'RGB' && e.format !== 'BGR'))
            )
                throw new Error("Tensor format doesn't match input tensor dims");
            const p = 4;
            let m = 0,
                y = 1,
                T = 2,
                v = 3,
                S = 0,
                E = l,
                A = l * 2,
                F = -1;
            d === 'RGBA'
                ? ((S = 0), (E = l), (A = l * 2), (F = l * 3))
                : d === 'RGB'
                ? ((S = 0), (E = l), (A = l * 2))
                : d === 'RBG' && ((S = 0), (A = l), (E = l * 2)),
                (i = o.createImageData(u, n));
            for (let B = 0; B < n * u; m += p, y += p, T += p, v += p, B++)
                (i.data[m] = (t.data[S++] - a[0]) * r[0]),
                    (i.data[y] = (t.data[E++] - a[1]) * r[1]),
                    (i.data[T] = (t.data[A++] - a[2]) * r[2]),
                    (i.data[v] = F === -1 ? 255 : (t.data[F++] - a[3]) * r[3]);
        } else throw new Error('Can not access image data');
        return i;
    },
    bufferToTensor = (t, e) => {
        if (t === void 0) throw new Error('Image buffer must be defined');
        if (e.height === void 0 || e.width === void 0) throw new Error('Image height and width must be defined');
        if (e.tensorLayout === 'NHWC') throw new Error('NHWC Tensor layout is not supported yet');
        const { height: o, width: i } = e,
            u = e.norm ?? { mean: 255, bias: 0 };
        let n, s;
        typeof u.mean == 'number'
            ? (n = [u.mean, u.mean, u.mean, u.mean])
            : (n = [u.mean[0], u.mean[1], u.mean[2], u.mean[3] ?? 255]),
            typeof u.bias == 'number'
                ? (s = [u.bias, u.bias, u.bias, u.bias])
                : (s = [u.bias[0], u.bias[1], u.bias[2], u.bias[3] ?? 0]);
        const d = e.format !== void 0 ? e.format : 'RGBA',
            f = e.tensorFormat !== void 0 && e.tensorFormat !== void 0 ? e.tensorFormat : 'RGB',
            r = o * i,
            a = f === 'RGBA' ? new Float32Array(r * 4) : new Float32Array(r * 3);
        let l = 4,
            p = 0,
            m = 1,
            y = 2,
            T = 3,
            v = 0,
            S = r,
            E = r * 2,
            A = -1;
        d === 'RGB' && ((l = 3), (p = 0), (m = 1), (y = 2), (T = -1)),
            f === 'RGBA'
                ? (A = r * 3)
                : f === 'RBG'
                ? ((v = 0), (E = r), (S = r * 2))
                : f === 'BGR' && ((E = 0), (S = r), (v = r * 2));
        for (let B = 0; B < r; B++, p += l, y += l, m += l, T += l)
            (a[v++] = (t[p] + s[0]) / n[0]),
                (a[S++] = (t[m] + s[1]) / n[1]),
                (a[E++] = (t[y] + s[2]) / n[2]),
                A !== -1 && T !== -1 && (a[A++] = (t[T] + s[3]) / n[3]);
        return f === 'RGBA' ? new Tensor$2('float32', a, [1, 4, o, i]) : new Tensor$2('float32', a, [1, 3, o, i]);
    },
    tensorFromImage = async (t, e) => {
        const o = typeof HTMLImageElement < 'u' && t instanceof HTMLImageElement,
            i = typeof ImageData < 'u' && t instanceof ImageData,
            u = typeof ImageBitmap < 'u' && t instanceof ImageBitmap,
            n = typeof t == 'string';
        let s,
            d = e ?? {};
        const f = () => {
                if (typeof document < 'u') return document.createElement('canvas');
                if (typeof OffscreenCanvas < 'u') return new OffscreenCanvas(1, 1);
                throw new Error('Canvas is not supported');
            },
            r = (a) => (a instanceof HTMLCanvasElement || a instanceof OffscreenCanvas ? a.getContext('2d') : null);
        if (o) {
            const a = f();
            (a.width = t.width), (a.height = t.height);
            const l = r(a);
            if (l != null) {
                let p = t.height,
                    m = t.width;
                if (
                    (e !== void 0 &&
                        e.resizedHeight !== void 0 &&
                        e.resizedWidth !== void 0 &&
                        ((p = e.resizedHeight), (m = e.resizedWidth)),
                    e !== void 0)
                ) {
                    if (((d = e), e.tensorFormat !== void 0))
                        throw new Error('Image input config format must be RGBA for HTMLImageElement');
                    (d.tensorFormat = 'RGBA'), (d.height = p), (d.width = m);
                } else (d.tensorFormat = 'RGBA'), (d.height = p), (d.width = m);
                l.drawImage(t, 0, 0), (s = l.getImageData(0, 0, m, p).data);
            } else throw new Error('Can not access image data');
        } else if (i) {
            let a, l;
            if (
                (e !== void 0 && e.resizedWidth !== void 0 && e.resizedHeight !== void 0
                    ? ((a = e.resizedHeight), (l = e.resizedWidth))
                    : ((a = t.height), (l = t.width)),
                e !== void 0 && (d = e),
                (d.format = 'RGBA'),
                (d.height = a),
                (d.width = l),
                e !== void 0)
            ) {
                const p = f();
                (p.width = l), (p.height = a);
                const m = r(p);
                if (m != null) m.putImageData(t, 0, 0), (s = m.getImageData(0, 0, l, a).data);
                else throw new Error('Can not access image data');
            } else s = t.data;
        } else if (u) {
            if (e === void 0) throw new Error('Please provide image config with format for Imagebitmap');
            const a = f();
            (a.width = t.width), (a.height = t.height);
            const l = r(a);
            if (l != null) {
                const p = t.height,
                    m = t.width;
                return (
                    l.drawImage(t, 0, 0, m, p),
                    (s = l.getImageData(0, 0, m, p).data),
                    (d.height = p),
                    (d.width = m),
                    bufferToTensor(s, d)
                );
            } else throw new Error('Can not access image data');
        } else {
            if (n)
                return new Promise((a, l) => {
                    const p = f(),
                        m = r(p);
                    if (!t || !m) return l();
                    const y = new Image();
                    (y.crossOrigin = 'Anonymous'),
                        (y.src = t),
                        (y.onload = () => {
                            (p.width = y.width), (p.height = y.height), m.drawImage(y, 0, 0, p.width, p.height);
                            const T = m.getImageData(0, 0, p.width, p.height);
                            (d.height = p.height), (d.width = p.width), a(bufferToTensor(T.data, d));
                        });
                });
            throw new Error('Input data provided is not supported - aborted tensor creation');
        }
        if (s !== void 0) return bufferToTensor(s, d);
        throw new Error('Input data provided is not supported - aborted tensor creation');
    },
    tensorFromTexture = (t, e) => {
        const { width: o, height: i, download: u, dispose: n } = e,
            s = [1, i, o, 4];
        return new Tensor$2({ location: 'texture', type: 'float32', texture: t, dims: s, download: u, dispose: n });
    },
    tensorFromGpuBuffer = (t, e) => {
        const { dataType: o, dims: i, download: u, dispose: n } = e;
        return new Tensor$2({
            location: 'gpu-buffer',
            type: o ?? 'float32',
            gpuBuffer: t,
            dims: i,
            download: u,
            dispose: n,
        });
    },
    tensorFromPinnedBuffer = (t, e, o) =>
        new Tensor$2({ location: 'cpu-pinned', type: t, data: e, dims: o ?? [e.length] }),
    NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP = new Map([
        ['float32', Float32Array],
        ['uint8', Uint8Array],
        ['int8', Int8Array],
        ['uint16', Uint16Array],
        ['float16', Uint16Array],
        ['int16', Int16Array],
        ['int32', Int32Array],
        ['bool', Uint8Array],
        ['float64', Float64Array],
        ['uint32', Uint32Array],
    ]),
    NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP = new Map([
        [Float32Array, 'float32'],
        [Uint8Array, 'uint8'],
        [Int8Array, 'int8'],
        [Uint16Array, 'uint16'],
        [Int16Array, 'int16'],
        [Int32Array, 'int32'],
        [Float64Array, 'float64'],
        [Uint32Array, 'uint32'],
    ]);
let isBigIntChecked = !1;
const checkBigInt = () => {
        if (!isBigIntChecked) {
            isBigIntChecked = !0;
            const t = typeof BigInt64Array < 'u' && typeof BigInt64Array.from == 'function',
                e = typeof BigUint64Array < 'u' && typeof BigUint64Array.from == 'function';
            t &&
                (NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('int64', BigInt64Array),
                NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigInt64Array, 'int64')),
                e &&
                    (NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('uint64', BigUint64Array),
                    NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigUint64Array, 'uint64'));
        }
    },
    calculateSize = (t) => {
        let e = 1;
        for (let o = 0; o < t.length; o++) {
            const i = t[o];
            if (typeof i != 'number' || !Number.isSafeInteger(i))
                throw new TypeError(`dims[${o}] must be an integer, got: ${i}`);
            if (i < 0) throw new RangeError(`dims[${o}] must be a non-negative integer, got: ${i}`);
            e *= i;
        }
        return e;
    },
    tensorReshape = (t, e) => {
        switch (t.location) {
            case 'cpu':
                return new Tensor$2(t.type, t.data, e);
            case 'cpu-pinned':
                return new Tensor$2({ location: 'cpu-pinned', data: t.data, type: t.type, dims: e });
            case 'texture':
                return new Tensor$2({ location: 'texture', texture: t.texture, type: t.type, dims: e });
            case 'gpu-buffer':
                return new Tensor$2({ location: 'gpu-buffer', gpuBuffer: t.gpuBuffer, type: t.type, dims: e });
            default:
                throw new Error(`tensorReshape: tensor location ${t.location} is not supported`);
        }
    };
let Tensor$2 = class {
    constructor(e, o, i) {
        checkBigInt();
        let u, n;
        if (typeof e == 'object' && 'location' in e)
            switch (((this.dataLocation = e.location), (u = e.type), (n = e.dims), e.location)) {
                case 'cpu-pinned': {
                    const d = NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(u);
                    if (!d) throw new TypeError(`unsupported type "${u}" to create tensor from pinned buffer`);
                    if (!(e.data instanceof d)) throw new TypeError(`buffer should be of type ${d.name}`);
                    this.cpuData = e.data;
                    break;
                }
                case 'texture': {
                    if (u !== 'float32') throw new TypeError(`unsupported type "${u}" to create tensor from texture`);
                    (this.gpuTextureData = e.texture), (this.downloader = e.download), (this.disposer = e.dispose);
                    break;
                }
                case 'gpu-buffer': {
                    if (
                        u !== 'float32' &&
                        u !== 'float16' &&
                        u !== 'int32' &&
                        u !== 'int64' &&
                        u !== 'uint32' &&
                        u !== 'bool'
                    )
                        throw new TypeError(`unsupported type "${u}" to create tensor from gpu buffer`);
                    (this.gpuBufferData = e.gpuBuffer), (this.downloader = e.download), (this.disposer = e.dispose);
                    break;
                }
                default:
                    throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`);
            }
        else {
            let d, f;
            if (typeof e == 'string')
                if (((u = e), (f = i), e === 'string')) {
                    if (!Array.isArray(o)) throw new TypeError("A string tensor's data must be a string array.");
                    d = o;
                } else {
                    const r = NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(e);
                    if (r === void 0) throw new TypeError(`Unsupported tensor type: ${e}.`);
                    if (Array.isArray(o)) {
                        if (e === 'float16')
                            throw new TypeError(
                                'Creating a float16 tensor from number array is not supported. Please use Uint16Array as data.'
                            );
                        e === 'uint64' || e === 'int64' ? (d = r.from(o, BigInt)) : (d = r.from(o));
                    } else if (o instanceof r) d = o;
                    else throw new TypeError(`A ${u} tensor's data must be type of ${r}`);
                }
            else if (((f = o), Array.isArray(e))) {
                if (e.length === 0) throw new TypeError('Tensor type cannot be inferred from an empty array.');
                const r = typeof e[0];
                if (r === 'string') (u = 'string'), (d = e);
                else if (r === 'boolean') (u = 'bool'), (d = Uint8Array.from(e));
                else throw new TypeError(`Invalid element type of data array: ${r}.`);
            } else {
                const r = NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.get(e.constructor);
                if (r === void 0) throw new TypeError(`Unsupported type for tensor data: ${e.constructor}.`);
                (u = r), (d = e);
            }
            if (f === void 0) f = [d.length];
            else if (!Array.isArray(f)) throw new TypeError("A tensor's dims must be a number array");
            (n = f), (this.cpuData = d), (this.dataLocation = 'cpu');
        }
        const s = calculateSize(n);
        if (this.cpuData && s !== this.cpuData.length)
            throw new Error(`Tensor's size(${s}) does not match data length(${this.cpuData.length}).`);
        (this.type = u), (this.dims = n), (this.size = s);
    }
    static async fromImage(e, o) {
        return tensorFromImage(e, o);
    }
    static fromTexture(e, o) {
        return tensorFromTexture(e, o);
    }
    static fromGpuBuffer(e, o) {
        return tensorFromGpuBuffer(e, o);
    }
    static fromPinnedBuffer(e, o, i) {
        return tensorFromPinnedBuffer(e, o, i);
    }
    toDataURL(e) {
        return tensorToDataURL(this, e);
    }
    toImageData(e) {
        return tensorToImageData(this, e);
    }
    get data() {
        if ((this.ensureValid(), !this.cpuData))
            throw new Error(
                'The data is not on CPU. Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly.'
            );
        return this.cpuData;
    }
    get location() {
        return this.dataLocation;
    }
    get texture() {
        if ((this.ensureValid(), !this.gpuTextureData)) throw new Error('The data is not stored as a WebGL texture.');
        return this.gpuTextureData;
    }
    get gpuBuffer() {
        if ((this.ensureValid(), !this.gpuBufferData)) throw new Error('The data is not stored as a WebGPU buffer.');
        return this.gpuBufferData;
    }
    async getData(e) {
        switch ((this.ensureValid(), this.dataLocation)) {
            case 'cpu':
            case 'cpu-pinned':
                return this.data;
            case 'texture':
            case 'gpu-buffer': {
                if (!this.downloader)
                    throw new Error('The current tensor is not created with a specified data downloader.');
                if (this.isDownloading) throw new Error('The current tensor is being downloaded.');
                try {
                    this.isDownloading = !0;
                    const o = await this.downloader();
                    return (
                        (this.downloader = void 0),
                        (this.dataLocation = 'cpu'),
                        (this.cpuData = o),
                        e && this.disposer && (this.disposer(), (this.disposer = void 0)),
                        o
                    );
                } finally {
                    this.isDownloading = !1;
                }
            }
            default:
                throw new Error(`cannot get data from location: ${this.dataLocation}`);
        }
    }
    dispose() {
        if (this.isDownloading) throw new Error('The current tensor is being downloaded.');
        this.disposer && (this.disposer(), (this.disposer = void 0)),
            (this.cpuData = void 0),
            (this.gpuTextureData = void 0),
            (this.gpuBufferData = void 0),
            (this.downloader = void 0),
            (this.isDownloading = void 0),
            (this.dataLocation = 'none');
    }
    ensureValid() {
        if (this.dataLocation === 'none') throw new Error('The tensor is disposed.');
    }
    reshape(e) {
        if ((this.ensureValid(), this.downloader || this.disposer))
            throw new Error('Cannot reshape a tensor that owns GPU resource.');
        return tensorReshape(this, e);
    }
};
const Tensor$1 = Tensor$2;
let ONNX;
const WEBGPU_AVAILABLE = typeof navigator < 'u' && 'gpu' in navigator,
    USE_ONNXRUNTIME_NODE = typeof process < 'u' && process?.release?.name === 'node',
    ONNX_MODULES = new Map();
USE_ONNXRUNTIME_NODE
    ? ((ONNX = sharp ?? ONNX_NODE), ONNX_MODULES.set('node', ONNX))
    : ((ONNX = zO ?? ONNX_WEB), ONNX_MODULES.set('web', ONNX));
async function createInferenceSession(t, e) {
    let o, i;
    if (USE_ONNXRUNTIME_NODE) {
        const s = ONNX_MODULES.get('node');
        (i = s.InferenceSession), (o = ['cpu']), Object.assign(s.env, env.backends.onnx);
    } else if (WEBGPU_AVAILABLE && env.experimental.useWebGPU) {
        let s = ONNX_MODULES.get('webgpu');
        s === void 0 &&
            ((s = await __vitePreload(() => import('./ort.webgpu.min-7V0I_OOb.js'), __vite__mapDeps([]))),
            ONNX_MODULES.set('webgpu', s)),
            (i = s.InferenceSession),
            (o = ['webgpu', 'wasm']),
            Object.assign(s.env, env.backends.onnx);
    } else {
        const s = ONNX_MODULES.get('web');
        (i = s.InferenceSession), (o = ['wasm']), Object.assign(s.env, env.backends.onnx);
    }
    const u = { executionProviders: o, ...e };
    return await i.create(t, u);
}
function isONNXTensor(t) {
    for (const e of ONNX_MODULES.values()) if (t instanceof e.Tensor) return !0;
    return !1;
}
const ONNX_ENV = ONNX?.env;
ONNX_ENV &&
    ONNX_ENV.wasm &&
    ((ONNX_ENV.wasm.wasmPaths = RUNNING_LOCALLY
        ? sharp.join(env.__dirname, '/dist/')
        : `https://cdn.jsdelivr.net/npm/@xenova/transformers@${env.version}/dist/`),
    typeof navigator < 'u' &&
        /iP(hone|od|ad).+16_4.+AppleWebKit/.test(navigator.userAgent) &&
        (ONNX_ENV.wasm.simd = !1),
    (ONNX_ENV.wasm.proxy = !0));
function isONNXProxy() {
    return ONNX_ENV.wasm.proxy;
}
env.backends.onnx = ONNX_ENV;
const DataTypeMap = Object.freeze({
    float32: Float32Array,
    float16: Uint16Array,
    float64: Float64Array,
    string: Array,
    int8: Int8Array,
    uint8: Uint8Array,
    int16: Int16Array,
    uint16: Uint16Array,
    int32: Int32Array,
    uint32: Uint32Array,
    int64: BigInt64Array,
    uint64: BigUint64Array,
    bool: Uint8Array,
});
class Tensor {
    get dims() {
        return this.ort_tensor.dims;
    }
    set dims(e) {
        this.ort_tensor.dims = e;
    }
    get type() {
        return this.ort_tensor.type;
    }
    get data() {
        return this.ort_tensor.data;
    }
    get size() {
        return this.ort_tensor.size;
    }
    ort_tensor;
    constructor(...e) {
        return (
            isONNXTensor(e[0]) ? (this.ort_tensor = e[0]) : (this.ort_tensor = new Tensor$1(e[0], e[1], e[2])),
            new Proxy(this, {
                get: (o, i) => {
                    if (typeof i == 'string') {
                        let u = Number(i);
                        if (Number.isInteger(u)) return o._getitem(u);
                    }
                    return o[i];
                },
                set: (o, i, u) => (o[i] = u),
            })
        );
    }
    dispose() {
        this.ort_tensor.dispose();
    }
    *[Symbol.iterator]() {
        const [e, ...o] = this.dims;
        if (o.length > 0) {
            const i = o.reduce((u, n) => u * n);
            for (let u = 0; u < e; ++u) yield this._subarray(u, i, o);
        } else yield* this.data;
    }
    _getitem(e) {
        const [o, ...i] = this.dims;
        if (((e = safeIndex(e, o)), i.length > 0)) {
            const u = i.reduce((n, s) => n * s);
            return this._subarray(e, u, i);
        } else return new Tensor(this.type, [this.data[e]], i);
    }
    indexOf(e) {
        for (let o = 0; o < this.data.length; ++o) if (this.data[o] == e) return o;
        return -1;
    }
    _subarray(e, o, i) {
        const u = e * o,
            n = (e + 1) * o,
            s = 'subarray' in this.data ? this.data.subarray(u, n) : this.data.slice(u, n);
        return new Tensor(this.type, s, i);
    }
    item() {
        if (this.data.length !== 1)
            throw new Error(`a Tensor with ${this.data.length} elements cannot be converted to Scalar`);
        return this.data[0];
    }
    tolist() {
        return reshape(this.data, this.dims);
    }
    sigmoid() {
        return this.clone().sigmoid_();
    }
    sigmoid_() {
        for (let e = 0; e < this.data.length; ++e) this.data[e] = 1 / (1 + Math.exp(-this.data[e]));
        return this;
    }
    mul(e) {
        return this.clone().mul_(e);
    }
    mul_(e) {
        for (let o = 0; o < this.data.length; ++o) this.data[o] *= e;
        return this;
    }
    add(e) {
        return this.clone().add_(e);
    }
    add_(e) {
        for (let o = 0; o < this.data.length; ++o) this.data[o] += e;
        return this;
    }
    clone() {
        return new Tensor(this.type, this.data.slice(), this.dims.slice());
    }
    slice(...e) {
        let o = [],
            i = [];
        for (let f = 0; f < this.dims.length; ++f) {
            let r = e[f];
            if (r == null) i.push([0, this.dims[f]]), o.push(this.dims[f]);
            else if (typeof r == 'number') (r = safeIndex(r, this.dims[f], f)), i.push([r, r + 1]);
            else if (Array.isArray(r) && r.length === 2) {
                if (r[0] > r[1]) throw new Error(`Invalid slice: ${r}`);
                let a = [Math.max(r[0], 0), Math.min(r[1], this.dims[f])];
                i.push(a), o.push(a[1] - a[0]);
            } else throw new Error(`Invalid slice: ${r}`);
        }
        let u = i.map(([f, r]) => r - f),
            n = u.reduce((f, r) => f * r),
            s = new this.data.constructor(n);
        const d = this.stride();
        for (let f = 0; f < n; ++f) {
            let r = 0;
            for (let a = u.length - 1, l = f; a >= 0; --a) {
                const p = u[a];
                (r += ((l % p) + i[a][0]) * d[a]), (l = Math.floor(l / p));
            }
            s[f] = this.data[r];
        }
        return new Tensor(this.type, s, o);
    }
    transpose(...e) {
        return transpose(this, e);
    }
    sum(e = null, o = !1) {
        return this.norm(1, e, o);
    }
    norm(e = 'fro', o = null, i = !1) {
        if (e === 'fro') e = 2;
        else if (typeof e == 'string') throw Error(`Unsupported norm: ${e}`);
        if (o === null) {
            let s = this.data.reduce((d, f) => d + f ** e, 0) ** (1 / e);
            return new Tensor(this.type, [s], []);
        }
        o = safeIndex(o, this.dims.length);
        const u = this.dims.slice();
        u[o] = 1;
        const n = new this.data.constructor(this.data.length / this.dims[o]);
        for (let s = 0; s < this.data.length; ++s) {
            let d = 0;
            for (let f = this.dims.length - 1, r = s, a = 1; f >= 0; --f) {
                const l = this.dims[f];
                if (f !== o) {
                    const p = r % l;
                    (d += p * a), (a *= u[f]);
                }
                r = Math.floor(r / l);
            }
            n[d] += this.data[s] ** e;
        }
        if (e !== 1) for (let s = 0; s < n.length; ++s) n[s] = n[s] ** (1 / e);
        return i || u.splice(o, 1), new Tensor(this.type, n, u);
    }
    normalize_(e = 2, o = 1) {
        o = safeIndex(o, this.dims.length);
        const i = this.norm(e, o, !0);
        for (let u = 0; u < this.data.length; ++u) {
            let n = 0;
            for (let s = this.dims.length - 1, d = u, f = 1; s >= 0; --s) {
                const r = this.dims[s];
                if (s !== o) {
                    const a = d % r;
                    (n += a * f), (f *= this.dims[s]);
                }
                d = Math.floor(d / r);
            }
            this.data[u] /= i.data[n];
        }
        return this;
    }
    normalize(e = 2, o = 1) {
        return this.clone().normalize_(e, o);
    }
    stride() {
        return dimsToStride(this.dims);
    }
    squeeze(e = null) {
        return new Tensor(this.type, this.data, calc_squeeze_dims(this.dims, e));
    }
    squeeze_(e = null) {
        return (this.dims = calc_squeeze_dims(this.dims, e)), this;
    }
    unsqueeze(e = null) {
        return new Tensor(this.type, this.data, calc_unsqueeze_dims(this.dims, e));
    }
    unsqueeze_(e = null) {
        return (this.dims = calc_unsqueeze_dims(this.dims, e)), this;
    }
    flatten_(e = 0, o = -1) {
        o = (o + this.dims.length) % this.dims.length;
        let i = this.dims.slice(0, e),
            u = this.dims.slice(e, o + 1),
            n = this.dims.slice(o + 1);
        return (this.dims = [...i, u.reduce((s, d) => s * d, 1), ...n]), this;
    }
    flatten(e = 0, o = -1) {
        return this.clone().flatten_(e, o);
    }
    view(...e) {
        let o = -1;
        for (let i = 0; i < e.length; ++i)
            if (e[i] === -1) {
                if (o !== -1) throw new Error('Only one dimension can be inferred');
                o = i;
            }
        if (o !== -1) {
            const i = e.reduce((u, n, s) => (s !== o ? u * n : u), 1);
            e[o] = this.data.length / i;
        }
        return new Tensor(this.type, this.data, e);
    }
    neg_() {
        for (let e = 0; e < this.data.length; ++e) this.data[e] = -this.data[e];
        return this;
    }
    neg() {
        return this.clone().neg_();
    }
    clamp_(e, o) {
        for (let i = 0; i < this.data.length; ++i) this.data[i] = Math.min(Math.max(this.data[i], e), o);
        return this;
    }
    clamp(e, o) {
        return this.clone().clamp_(e, o);
    }
    round_() {
        for (let e = 0; e < this.data.length; ++e) this.data[e] = Math.round(this.data[e]);
        return this;
    }
    round() {
        return this.clone().round_();
    }
    to(e) {
        if (this.type === e) return this;
        if (!DataTypeMap.hasOwnProperty(e)) throw new Error(`Unsupported type: ${e}`);
        return new Tensor(e, DataTypeMap[e].from(this.data), this.dims);
    }
}
function reshape(t, e) {
    const o = t.length,
        i = e.reduce((n, s) => n * s);
    if (o !== i) throw Error(`cannot reshape array of size ${o} into shape (${e})`);
    let u = t;
    for (let n = e.length - 1; n >= 0; n--)
        u = u.reduce(
            (s, d) => {
                let f = s[s.length - 1];
                return f.length < e[n] ? f.push(d) : s.push([d]), s;
            },
            [[]]
        );
    return u[0];
}
function transpose(t, e) {
    const [o, i] = transpose_data(t.data, t.dims, e);
    return new Tensor(t.type, o, i);
}
function interpolate(t, [e, o], i = 'bilinear', u = !1) {
    const n = t.dims.at(-3) ?? 1,
        s = t.dims.at(-2),
        d = t.dims.at(-1);
    let f = interpolate_data(t.data, [n, s, d], [e, o], i, u);
    return new Tensor(t.type, f, [n, e, o]);
}
function calc_squeeze_dims(t, e) {
    return (
        (t = t.slice()),
        e === null
            ? (t = t.filter((o) => o !== 1))
            : typeof e == 'number'
            ? t[e] === 1 && t.splice(e, 1)
            : Array.isArray(e) && (t = t.filter((o, i) => o !== 1 || !e.includes(i))),
        t
    );
}
function calc_unsqueeze_dims(t, e) {
    return (e = safeIndex(e, t.length + 1)), (t = t.slice()), t.splice(e, 0, 1), t;
}
function safeIndex(t, e, o = null) {
    if (t < -e || t >= e)
        throw new Error(
            `IndexError: index ${t} is out of bounds for dimension${o === null ? '' : ' ' + o} with size ${e}`
        );
    return t < 0 && (t = ((t % e) + e) % e), t;
}
function cat(t, e = 0) {
    e = safeIndex(e, t[0].dims.length);
    const o = t[0].dims.slice();
    o[e] = t.reduce((s, d) => s + d.dims[e], 0);
    const i = o.reduce((s, d) => s * d, 1),
        u = new t[0].data.constructor(i),
        n = t[0].type;
    if (e === 0) {
        let s = 0;
        for (let d of t) u.set(d.data, s), (s += d.data.length);
    } else {
        let s = 0;
        for (let d = 0; d < t.length; ++d) {
            let f = t[d];
            for (let r = 0; r < f.data.length; ++r) {
                let a = 0;
                for (let l = f.dims.length - 1, p = r, m = 1; l >= 0; --l) {
                    const y = f.dims[l];
                    let T = p % y;
                    l === e && (T += s), (a += T * m), (m *= o[l]), (p = Math.floor(p / y));
                }
                u[a] = f.data[r];
            }
            s += f.dims[e];
        }
    }
    return new Tensor(n, u, o);
}
function stack(t, e = 0) {
    return cat(
        t.map((o) => o.unsqueeze(e)),
        e
    );
}
function std_mean(t, e = null, o = 1, i = !1) {
    if (e === null) {
        const r = t.data.reduce((m, y) => m + y, 0) / t.data.length,
            a = Math.sqrt(t.data.reduce((m, y) => m + (y - r) ** 2, 0) / (t.data.length - o)),
            l = new Tensor(t.type, [r], []);
        return [new Tensor(t.type, [a], []), l];
    }
    e = safeIndex(e, t.dims.length);
    const u = mean(t, e, i),
        n = t.dims.slice();
    n[e] = 1;
    const s = new t.data.constructor(t.data.length / t.dims[e]);
    for (let f = 0; f < t.data.length; ++f) {
        let r = 0;
        for (let a = t.dims.length - 1, l = f, p = 1; a >= 0; --a) {
            const m = t.dims[a];
            if (a !== e) {
                const y = l % m;
                (r += y * p), (p *= n[a]);
            }
            l = Math.floor(l / m);
        }
        s[r] += (t.data[f] - u.data[r]) ** 2;
    }
    for (let f = 0; f < s.length; ++f) s[f] = Math.sqrt(s[f] / (t.dims[e] - o));
    return i || n.splice(e, 1), [new Tensor(t.type, s, n), u];
}
function mean(t, e = null, o = !1) {
    if (e === null) {
        let n = t.data.reduce((s, d) => s + d, 0);
        return new Tensor(t.type, [n / t.data.length], []);
    }
    e = safeIndex(e, t.dims.length);
    const i = t.dims.slice();
    i[e] = 1;
    const u = new t.data.constructor(t.data.length / t.dims[e]);
    for (let n = 0; n < t.data.length; ++n) {
        let s = 0;
        for (let d = t.dims.length - 1, f = n, r = 1; d >= 0; --d) {
            const a = t.dims[d];
            if (d !== e) {
                const l = f % a;
                (s += l * r), (r *= i[d]);
            }
            f = Math.floor(f / a);
        }
        u[s] += t.data[n];
    }
    if (t.dims[e] !== 1) for (let n = 0; n < u.length; ++n) u[n] = u[n] / t.dims[e];
    return o || i.splice(e, 1), new Tensor(t.type, u, i);
}
function dynamicTimeWarping(t) {
    const [e, o] = t.dims,
        i = [e + 1, o + 1],
        u = new Tensor('float32', new Float32Array(i[0] * i[1]).fill(1 / 0), i),
        n = new Tensor('float32', new Float32Array(i[0] * i[1]).fill(-1), i);
    u[0].data[0] = 0;
    for (let a = 1; a < o + 1; ++a)
        for (let l = 1; l < e + 1; ++l) {
            const p = u[l - 1][a - 1].item(),
                m = u[l - 1][a].item(),
                y = u[l][a - 1].item();
            let T, v;
            p < m && p < y ? ((T = p), (v = 0)) : m < p && m < y ? ((T = m), (v = 1)) : ((T = y), (v = 2)),
                (u[l].data[a] = t[l - 1][a - 1].item() + T),
                (n[l].data[a] = v);
        }
    let s = e,
        d = o;
    n.data.fill(2, 0, i[1]);
    for (let a = 0; a < i[0]; ++a) n[a].data[0] = 1;
    let f = [],
        r = [];
    for (; s > 0 || d > 0; )
        switch ((f.push(s - 1), r.push(d - 1), n[s][d].item())) {
            case 0:
                --s, --d;
                break;
            case 1:
                --s;
                break;
            case 2:
                --d;
                break;
            default:
                throw new Error(
                    `Internal error in dynamic time warping. Unexpected trace[${s}, ${d}]. Please file a bug report.`
                );
        }
    return f.reverse(), r.reverse(), [f, r];
}
function dimsToStride(t) {
    const e = new Array(t.length);
    for (let o = t.length - 1, i = 1; o >= 0; --o) (e[o] = i), (i *= t[o]);
    return e;
}
function ones(t) {
    const e = t.reduce((o, i) => o * i, 1);
    return new Tensor('int64', new BigInt64Array(e).fill(1n), t);
}
function ones_like(t) {
    return ones(t.dims);
}
var TOKEN_TYPES = Object.freeze({
    Text: 'Text',
    NumericLiteral: 'NumericLiteral',
    BooleanLiteral: 'BooleanLiteral',
    StringLiteral: 'StringLiteral',
    Identifier: 'Identifier',
    Equals: 'Equals',
    OpenParen: 'OpenParen',
    CloseParen: 'CloseParen',
    OpenStatement: 'OpenStatement',
    CloseStatement: 'CloseStatement',
    OpenExpression: 'OpenExpression',
    CloseExpression: 'CloseExpression',
    OpenSquareBracket: 'OpenSquareBracket',
    CloseSquareBracket: 'CloseSquareBracket',
    OpenCurlyBracket: 'OpenCurlyBracket',
    CloseCurlyBracket: 'CloseCurlyBracket',
    Comma: 'Comma',
    Dot: 'Dot',
    Colon: 'Colon',
    Pipe: 'Pipe',
    CallOperator: 'CallOperator',
    AdditiveBinaryOperator: 'AdditiveBinaryOperator',
    MultiplicativeBinaryOperator: 'MultiplicativeBinaryOperator',
    ComparisonBinaryOperator: 'ComparisonBinaryOperator',
    UnaryOperator: 'UnaryOperator',
    Set: 'Set',
    If: 'If',
    For: 'For',
    In: 'In',
    Is: 'Is',
    NotIn: 'NotIn',
    Else: 'Else',
    EndIf: 'EndIf',
    ElseIf: 'ElseIf',
    EndFor: 'EndFor',
    And: 'And',
    Or: 'Or',
    Not: 'UnaryOperator',
});
Object.freeze({
    set: TOKEN_TYPES.Set,
    for: TOKEN_TYPES.For,
    in: TOKEN_TYPES.In,
    is: TOKEN_TYPES.Is,
    if: TOKEN_TYPES.If,
    else: TOKEN_TYPES.Else,
    endif: TOKEN_TYPES.EndIf,
    elif: TOKEN_TYPES.ElseIf,
    endfor: TOKEN_TYPES.EndFor,
    and: TOKEN_TYPES.And,
    or: TOKEN_TYPES.Or,
    not: TOKEN_TYPES.Not,
    'not in': TOKEN_TYPES.NotIn,
    true: TOKEN_TYPES.BooleanLiteral,
    false: TOKEN_TYPES.BooleanLiteral,
});
TOKEN_TYPES.OpenStatement,
    TOKEN_TYPES.CloseStatement,
    TOKEN_TYPES.OpenExpression,
    TOKEN_TYPES.CloseExpression,
    TOKEN_TYPES.OpenParen,
    TOKEN_TYPES.CloseParen,
    TOKEN_TYPES.OpenCurlyBracket,
    TOKEN_TYPES.CloseCurlyBracket,
    TOKEN_TYPES.OpenSquareBracket,
    TOKEN_TYPES.CloseSquareBracket,
    TOKEN_TYPES.Comma,
    TOKEN_TYPES.Dot,
    TOKEN_TYPES.Colon,
    TOKEN_TYPES.Pipe,
    TOKEN_TYPES.ComparisonBinaryOperator,
    TOKEN_TYPES.ComparisonBinaryOperator,
    TOKEN_TYPES.ComparisonBinaryOperator,
    TOKEN_TYPES.ComparisonBinaryOperator,
    TOKEN_TYPES.ComparisonBinaryOperator,
    TOKEN_TYPES.ComparisonBinaryOperator,
    TOKEN_TYPES.AdditiveBinaryOperator,
    TOKEN_TYPES.AdditiveBinaryOperator,
    TOKEN_TYPES.MultiplicativeBinaryOperator,
    TOKEN_TYPES.MultiplicativeBinaryOperator,
    TOKEN_TYPES.MultiplicativeBinaryOperator,
    TOKEN_TYPES.Equals;
const BYTES_TO_UNICODE = (() => {
    const t = [
            ...Array.from({ length: 94 }, (u, n) => n + 33),
            ...Array.from({ length: 12 }, (u, n) => n + 161),
            ...Array.from({ length: 82 }, (u, n) => n + 174),
        ],
        e = t.slice();
    let o = 0;
    for (let u = 0; u < 256; ++u) t.includes(u) || (t.push(u), e.push(256 + o), (o += 1));
    const i = e.map((u) => String.fromCharCode(u));
    return Object.fromEntries(t.map((u, n) => [u, i[n]]));
})();
reverseDictionary(BYTES_TO_UNICODE);
const WHISPER_LANGUAGES = [
    ['en', 'english'],
    ['zh', 'chinese'],
    ['de', 'german'],
    ['es', 'spanish'],
    ['ru', 'russian'],
    ['ko', 'korean'],
    ['fr', 'french'],
    ['ja', 'japanese'],
    ['pt', 'portuguese'],
    ['tr', 'turkish'],
    ['pl', 'polish'],
    ['ca', 'catalan'],
    ['nl', 'dutch'],
    ['ar', 'arabic'],
    ['sv', 'swedish'],
    ['it', 'italian'],
    ['id', 'indonesian'],
    ['hi', 'hindi'],
    ['fi', 'finnish'],
    ['vi', 'vietnamese'],
    ['he', 'hebrew'],
    ['uk', 'ukrainian'],
    ['el', 'greek'],
    ['ms', 'malay'],
    ['cs', 'czech'],
    ['ro', 'romanian'],
    ['da', 'danish'],
    ['hu', 'hungarian'],
    ['ta', 'tamil'],
    ['no', 'norwegian'],
    ['th', 'thai'],
    ['ur', 'urdu'],
    ['hr', 'croatian'],
    ['bg', 'bulgarian'],
    ['lt', 'lithuanian'],
    ['la', 'latin'],
    ['mi', 'maori'],
    ['ml', 'malayalam'],
    ['cy', 'welsh'],
    ['sk', 'slovak'],
    ['te', 'telugu'],
    ['fa', 'persian'],
    ['lv', 'latvian'],
    ['bn', 'bengali'],
    ['sr', 'serbian'],
    ['az', 'azerbaijani'],
    ['sl', 'slovenian'],
    ['kn', 'kannada'],
    ['et', 'estonian'],
    ['mk', 'macedonian'],
    ['br', 'breton'],
    ['eu', 'basque'],
    ['is', 'icelandic'],
    ['hy', 'armenian'],
    ['ne', 'nepali'],
    ['mn', 'mongolian'],
    ['bs', 'bosnian'],
    ['kk', 'kazakh'],
    ['sq', 'albanian'],
    ['sw', 'swahili'],
    ['gl', 'galician'],
    ['mr', 'marathi'],
    ['pa', 'punjabi'],
    ['si', 'sinhala'],
    ['km', 'khmer'],
    ['sn', 'shona'],
    ['yo', 'yoruba'],
    ['so', 'somali'],
    ['af', 'afrikaans'],
    ['oc', 'occitan'],
    ['ka', 'georgian'],
    ['be', 'belarusian'],
    ['tg', 'tajik'],
    ['sd', 'sindhi'],
    ['gu', 'gujarati'],
    ['am', 'amharic'],
    ['yi', 'yiddish'],
    ['lo', 'lao'],
    ['uz', 'uzbek'],
    ['fo', 'faroese'],
    ['ht', 'haitian creole'],
    ['ps', 'pashto'],
    ['tk', 'turkmen'],
    ['nn', 'nynorsk'],
    ['mt', 'maltese'],
    ['sa', 'sanskrit'],
    ['lb', 'luxembourgish'],
    ['my', 'myanmar'],
    ['bo', 'tibetan'],
    ['tl', 'tagalog'],
    ['mg', 'malagasy'],
    ['as', 'assamese'],
    ['tt', 'tatar'],
    ['haw', 'hawaiian'],
    ['ln', 'lingala'],
    ['ha', 'hausa'],
    ['ba', 'bashkir'],
    ['jw', 'javanese'],
    ['su', 'sundanese'],
];
new Map(WHISPER_LANGUAGES);
async function loadConfig(t, e) {
    return await getModelJSON(t, 'config.json', !0, e);
}
class PretrainedConfig {
    constructor(e) {
        (this.model_type = null), (this.is_encoder_decoder = !1), Object.assign(this, e);
    }
    static async from_pretrained(
        e,
        {
            progress_callback: o = null,
            config: i = null,
            cache_dir: u = null,
            local_files_only: n = !1,
            revision: s = 'main',
        } = {}
    ) {
        let d =
            i ??
            (await loadConfig(e, { progress_callback: o, config: i, cache_dir: u, local_files_only: n, revision: s }));
        return new this(d);
    }
}
class AutoConfig {
    static async from_pretrained(...e) {
        return PretrainedConfig.from_pretrained(...e);
    }
}
class LogitsProcessorList extends Callable {
    constructor() {
        super(), (this.processors = []);
    }
    push(e) {
        this.processors.push(e);
    }
    extend(e) {
        this.processors.push(...e);
    }
    _call(e, o) {
        for (let i of o) this.processors.forEach((u) => u(e, i));
    }
    [Symbol.iterator]() {
        return this.processors.values();
    }
}
class LogitsProcessor extends Callable {
    _call(e, o) {
        throw Error('`_call` should be implemented in a subclass');
    }
}
class ForceTokensLogitsProcessor extends LogitsProcessor {
    constructor(e) {
        super(), (this.force_token_map = Object.fromEntries(e ?? []));
    }
    _call(e, o) {
        let i = this.force_token_map[e.length];
        return exists(i) && (o.data.fill(-1 / 0), (o.data[i] = 0)), o;
    }
}
class ForcedBOSTokenLogitsProcessor extends LogitsProcessor {
    constructor(e) {
        super(), (this.bos_token_id = e);
    }
    _call(e, o) {
        return e.length === 1 && (o.data.fill(-1 / 0), (o.data[this.bos_token_id] = 0)), o;
    }
}
class ForcedEOSTokenLogitsProcessor extends LogitsProcessor {
    constructor(e, o) {
        super(), (this.max_length = e), (this.forced_eos_token_id = o);
    }
    _call(e, o) {}
}
class SuppressTokensAtBeginLogitsProcessor extends LogitsProcessor {
    constructor(e, o) {
        super(), (this.begin_suppress_tokens = e), (this.begin_index = o);
    }
    _call(e, o) {
        if (e.length === this.begin_index) for (let i of this.begin_suppress_tokens) o.data[i] = -1 / 0;
        return o;
    }
}
class WhisperTimeStampLogitsProcessor extends LogitsProcessor {
    constructor(e) {
        super(),
            (this.eos_token_id = e.eos_token_id),
            (this.no_timestamps_token_id = e.no_timestamps_token_id),
            (this.timestamp_begin = this.no_timestamps_token_id + 1),
            (this.begin_index = (e.forced_decoder_ids || []).length + 2),
            e.forced_decoder_ids.slice(-1)[0][1] === this.no_timestamps_token_id && (this.begin_index -= 1),
            (this.max_initial_timestamp_index = e.max_initial_timestamp_index);
    }
    _call(e, o) {
        const i = o.data;
        if (((i[this.no_timestamps_token_id] = -1 / 0), e.length === this.begin_index - 1))
            return i.fill(-1 / 0), (i[this.timestamp_begin] = 0), o;
        const u = e.slice(this.begin_index),
            n = u.length >= 1 && u[u.length - 1] >= this.timestamp_begin,
            s = u.length < 2 || u[u.length - 2] >= this.timestamp_begin;
        if (
            (n && (s ? i.subarray(this.timestamp_begin).fill(-1 / 0) : i.subarray(0, this.eos_token_id).fill(-1 / 0)),
            e.length === this.begin_index && this.max_initial_timestamp_index !== null)
        ) {
            const a = this.timestamp_begin + this.max_initial_timestamp_index;
            i.subarray(a + 1).fill(-1 / 0);
        }
        const d = log_softmax(i),
            f = Math.log(
                d
                    .subarray(this.timestamp_begin)
                    .map(Math.exp)
                    .reduce((a, l) => a + l)
            ),
            r = max(d.subarray(0, this.timestamp_begin))[0];
        return f > r && i.subarray(0, this.timestamp_begin).fill(-1 / 0), o;
    }
}
class NoRepeatNGramLogitsProcessor extends LogitsProcessor {
    constructor(e) {
        super(), (this.no_repeat_ngram_size = e);
    }
    getNgrams(e) {
        const o = e.length,
            i = [];
        for (let n = 0; n < o + 1 - this.no_repeat_ngram_size; ++n) {
            const s = [];
            for (let d = 0; d < this.no_repeat_ngram_size; ++d) s.push(e[n + d]);
            i.push(s);
        }
        const u = new Map();
        for (const n of i) {
            const s = n.slice(0, n.length - 1),
                d = JSON.stringify(s),
                f = u.get(d) ?? [];
            f.push(n[n.length - 1]), u.set(d, f);
        }
        return u;
    }
    getGeneratedNgrams(e, o) {
        const i = o.slice(o.length + 1 - this.no_repeat_ngram_size, o.length);
        return e.get(JSON.stringify(i)) ?? [];
    }
    calcBannedNgramTokens(e) {
        const o = [];
        if (e.length + 1 < this.no_repeat_ngram_size) return o;
        {
            const i = this.getNgrams(e);
            return this.getGeneratedNgrams(i, e);
        }
    }
    _call(e, o) {
        const i = this.calcBannedNgramTokens(e);
        for (const u of i) o.data[u] = -1 / 0;
        return o;
    }
}
class RepetitionPenaltyLogitsProcessor extends LogitsProcessor {
    constructor(e) {
        super(), (this.penalty = e);
    }
    _call(e, o) {
        for (const i of e) o.data[i] < 0 ? (o.data[i] *= this.penalty) : (o.data[i] /= this.penalty);
        return o;
    }
}
class MinLengthLogitsProcessor extends LogitsProcessor {
    constructor(e, o) {
        super(), (this.min_length = e), (this.eos_token_id = Array.isArray(o) ? o : [o]);
    }
    _call(e, o) {
        if (e.length < this.min_length) for (const i of this.eos_token_id) o.data[i] = -1 / 0;
        return o;
    }
}
class MinNewTokensLengthLogitsProcessor extends LogitsProcessor {
    constructor(e, o, i) {
        super(),
            (this.prompt_length_to_skip = e),
            (this.min_new_tokens = o),
            (this.eos_token_id = Array.isArray(i) ? i : [i]);
    }
    _call(e, o) {
        if (e.length - this.prompt_length_to_skip < this.min_new_tokens)
            for (const u of this.eos_token_id) o.data[u] = -1 / 0;
        return o;
    }
}
class NoBadWordsLogitsProcessor extends LogitsProcessor {
    constructor(e, o) {
        super(), (this.bad_words_ids = e), (this.eos_token_id = Array.isArray(o) ? o : [o]);
    }
    _call(e, o) {
        for (const i of this.bad_words_ids) {
            let u = !0;
            for (let n = 1; n <= i.length - 1 && i.length < e.length; ++n)
                if (i.at(-n - 1) !== e.at(-n)) {
                    u = !1;
                    break;
                }
            u && (o.data[i.at(-1)] = -1 / 0);
        }
        return o;
    }
}
const GenerationConfig = class {
    constructor(t = {}) {
        (this.max_length = t.max_length ?? 20),
            (this.max_new_tokens = t.max_new_tokens ?? null),
            (this.min_length = t.min_length ?? 0),
            (this.min_new_tokens = t.min_new_tokens ?? null),
            (this.early_stopping = t.early_stopping ?? !1),
            (this.max_time = t.max_time ?? null),
            (this.do_sample = t.do_sample ?? !1),
            (this.num_beams = t.num_beams ?? 1),
            (this.num_beam_groups = t.num_beam_groups ?? 1),
            (this.penalty_alpha = t.penalty_alpha ?? null),
            (this.use_cache = t.use_cache ?? !0),
            (this.temperature = t.temperature ?? 1),
            (this.top_k = t.top_k ?? 50),
            (this.top_p = t.top_p ?? 1),
            (this.typical_p = t.typical_p ?? 1),
            (this.epsilon_cutoff = t.epsilon_cutoff ?? 0),
            (this.eta_cutoff = t.eta_cutoff ?? 0),
            (this.diversity_penalty = t.diversity_penalty ?? 0),
            (this.repetition_penalty = t.repetition_penalty ?? 1),
            (this.encoder_repetition_penalty = t.encoder_repetition_penalty ?? 1),
            (this.length_penalty = t.length_penalty ?? 1),
            (this.no_repeat_ngram_size = t.no_repeat_ngram_size ?? 0),
            (this.bad_words_ids = t.bad_words_ids ?? null),
            (this.force_words_ids = t.force_words_ids ?? null),
            (this.renormalize_logits = t.renormalize_logits ?? !1),
            (this.constraints = t.constraints ?? null),
            (this.forced_bos_token_id = t.forced_bos_token_id ?? null),
            (this.forced_eos_token_id = t.forced_eos_token_id ?? null),
            (this.remove_invalid_values = t.remove_invalid_values ?? !1),
            (this.exponential_decay_length_penalty = t.exponential_decay_length_penalty ?? null),
            (this.suppress_tokens = t.suppress_tokens ?? null),
            (this.begin_suppress_tokens = t.begin_suppress_tokens ?? null),
            (this.forced_decoder_ids = t.forced_decoder_ids ?? null),
            (this.num_return_sequences = t.num_return_sequences ?? 1),
            (this.output_attentions = t.output_attentions ?? !1),
            (this.output_hidden_states = t.output_hidden_states ?? !1),
            (this.output_scores = t.output_scores ?? !1),
            (this.return_dict_in_generate = t.return_dict_in_generate ?? !1),
            (this.pad_token_id = t.pad_token_id ?? null),
            (this.bos_token_id = t.bos_token_id ?? null),
            (this.eos_token_id = t.eos_token_id ?? null),
            (this.encoder_no_repeat_ngram_size = t.encoder_no_repeat_ngram_size ?? 0),
            (this.decoder_start_token_id = t.decoder_start_token_id ?? null),
            (this.generation_kwargs = t.generation_kwargs ?? {});
    }
};
class Sampler extends Callable {
    constructor(e) {
        super(), (this.generation_config = e);
    }
    _call(e, o = -1) {
        return this.sample(e, o);
    }
    sample(e, o) {
        throw Error('sample should be implemented in subclasses.');
    }
    getLogits(e, o) {
        let i = e.dims.at(-1),
            u = e.data;
        if (o === -1) u = u.slice(-i);
        else {
            let n = o * i;
            u = u.slice(n, n + i);
        }
        return this.generation_config.temperature > 0 && (u = u.map((n) => n / this.generation_config.temperature)), u;
    }
    randomSelect(e) {
        let o = e.reduce((u, n) => u + n, 0),
            i = Math.random() * o;
        for (let u = 0; u < e.length; ++u) if (((i -= e[u]), i <= 0)) return u;
        return 0;
    }
    static getSampler(e) {
        if (e.do_sample) return new MultinomialSampler(e);
        if (e.num_beams > 1) return new BeamSearchSampler(e);
        if (e.num_return_sequences > 1)
            throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${e.num_return_sequences}.`);
        return new GreedySampler(e);
    }
}
class GreedySampler extends Sampler {
    sample(e, o = -1) {
        let i = this.getLogits(e, o);
        return [[max(i)[1], 0]];
    }
}
class MultinomialSampler extends Sampler {
    sample(e, o = -1) {
        let i = e.dims.at(-1);
        this.generation_config.top_k > 0 && (i = Math.min(this.generation_config.top_k, i));
        const u = this.getLogits(e, o),
            n = getTopItems(u, i),
            s = softmax(n.map((d) => d[1]));
        return Array.from({ length: this.generation_config.num_beams }, () => {
            const d = this.randomSelect(s);
            return [n[d][0], Math.log(s[d])];
        });
    }
}
class BeamSearchSampler extends Sampler {
    sample(e, o = -1) {
        let i = e.dims.at(-1);
        this.generation_config.top_k > 0 && (i = Math.min(this.generation_config.top_k, i));
        const u = this.getLogits(e, o),
            n = getTopItems(u, i),
            s = softmax(n.map((d) => d[1]));
        return Array.from({ length: this.generation_config.num_beams }, (d, f) => [n[f][0], Math.log(s[f])]);
    }
}
const MODEL_TYPES = { EncoderOnly: 0, EncoderDecoder: 1, Seq2Seq: 2, Vision2Seq: 3, DecoderOnly: 4, MaskGeneration: 5 },
    MODEL_TYPE_MAPPING = new Map(),
    MODEL_NAME_TO_CLASS_MAPPING = new Map(),
    MODEL_CLASS_TO_NAME_MAPPING = new Map();
async function constructSession(t, e, o) {
    const i = `onnx/${e}${o.quantized ? '_quantized' : ''}.onnx`,
        u = await getModelFile(t, i, !0, o),
        n = o.session_options ?? {};
    if (n.externalData !== void 0)
        for (let s = 0; s < n.externalData.length; s++) {
            const d = n.externalData[s];
            if (typeof d.data == 'string') {
                const f = await getModelFile(t, d.data, !0, o);
                d.data = f;
            }
        }
    return await createInferenceSession(u, n);
}
function validateInputs(t, e) {
    const o = Object.create(null),
        i = [];
    for (const s of t.inputNames) {
        const d = e[s];
        if (!(d instanceof Tensor)) {
            i.push(s);
            continue;
        }
        o[s] = isONNXProxy() ? d.clone() : d;
    }
    if (i.length > 0)
        throw new Error(`An error occurred during model execution: "Missing the following inputs: ${i.join(', ')}.`);
    const u = Object.keys(e).length,
        n = t.inputNames.length;
    if (u > n) {
        let s = Object.keys(e).filter((d) => !t.inputNames.includes(d));
        console.warn(
            `WARNING: Too many inputs were provided (${u} > ${n}). The following inputs will be ignored: "${s.join(
                ', '
            )}".`
        );
    }
    return o;
}
async function sessionRun(t, e) {
    const o = validateInputs(t, e);
    try {
        const i = Object.fromEntries(Object.entries(o).map(([n, s]) => [n, s.ort_tensor]));
        let u = await t.run(i);
        u = replaceTensors(u);
        for (const [n, s] of Object.entries(o)) n.startsWith('past_key_values') && s.dispose();
        return u;
    } catch (i) {
        throw (
            (console.error(`An error occurred during model execution: "${i}".`),
            console.error('Inputs given to model:', o),
            i)
        );
    }
}
function replaceTensors(t) {
    for (let e in t) isONNXTensor(t[e]) ? (t[e] = new Tensor(t[e])) : typeof t[e] == 'object' && replaceTensors(t[e]);
    return t;
}
function toI64Tensor(t) {
    if (t instanceof Tensor) return t;
    if (t.length === 0) throw Error('items must be non-empty');
    if (Array.isArray(t[0])) {
        if (t.some((e) => e.length !== t[0].length))
            throw Error(
                "Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length."
            );
        return new Tensor('int64', BigInt64Array.from(t.flat().map((e) => BigInt(e))), [t.length, t[0].length]);
    } else return new Tensor('int64', BigInt64Array.from(t.map((e) => BigInt(e))), [1, t.length]);
}
function prepareAttentionMask(t, e) {
    let o = t.config.pad_token_id ?? null,
        i = t.config.eos_token_id ?? null;
    isIntegralNumber(i) && (i = [i]);
    let u = e.indexOf(o) !== -1,
        n = i === null || !i.includes(o);
    if (u && n) {
        let s = BigInt64Array.from(e.data.map((d) => d != o));
        return new Tensor('int64', s, e.dims);
    } else return ones_like(e);
}
function preparePositionIds(t, e, o) {
    if (!t.inputNames.includes('position_ids')) return;
    const i = new BigInt64Array(e.attention_mask.data.length);
    for (let u = 0; u < e.attention_mask.dims[0]; ++u) {
        let n = u * e.attention_mask.dims[1],
            s = BigInt(0);
        for (let d = 0; d < e.attention_mask.dims[1]; ++d) {
            const f = n + d;
            e.attention_mask.data[f] === 0n ? (i[f] = BigInt(1)) : ((i[f] = s), (s += e.attention_mask.data[f]));
        }
    }
    (e.position_ids = new Tensor('int64', i, e.attention_mask.dims)),
        o && (e.position_ids = e.position_ids.slice(null, -1).unsqueeze_(-1));
}
function boolTensor(t) {
    return new Tensor('bool', [t], [1]);
}
async function seq2seqForward(t, e) {
    let { encoder_outputs: o, past_key_values: i } = e;
    o || (o = (await encoderForward(t, e)).last_hidden_state);
    let u = { input_ids: e.decoder_input_ids, encoder_hidden_states: o };
    const n = !!i;
    t.decoder_merged_session.inputNames.includes('use_cache_branch') && (u.use_cache_branch = boolTensor(n)),
        t.decoder_merged_session.inputNames.includes('encoder_attention_mask') &&
            (u.encoder_attention_mask = e.attention_mask),
        preparePositionIds(t.decoder_merged_session, u, n),
        t.addPastKeyValues(u, i);
    const s = await sessionRun(t.decoder_merged_session, u);
    let d = s.logits;
    i = t.getPastKeyValues(s, i);
    const f = t.getAttentions(s);
    return new Seq2SeqLMOutput({ logits: d, past_key_values: i, encoder_outputs: o, ...f });
}
function seq2seqStartBeams(t, e, o, i) {
    let u = [],
        n = 0;
    const s = t.requires_attention_mask ?? !0;
    let d = o.decoder_input_ids ?? o.decoder_start_token_id ?? o.bos_token_id ?? o.eos_token_id;
    d instanceof Tensor ? (d = d.tolist().flat()) : Array.isArray(d) || (d = [d]);
    for (let f of e) {
        f.dims = [1, ...f.dims];
        let r = {
            inputs: f,
            encoder_outputs: null,
            prev_model_outputs: null,
            output_token_ids: d,
            done: !1,
            score: 0,
            id: n++,
        };
        s && (r.attention_mask = prepareAttentionMask(t, f)), u.push(r);
    }
    return u;
}
async function seq2seqRunBeam(t, e) {
    const o = t.main_input_name;
    let i = e.output_token_ids;
    e.prev_model_outputs && (i = i.slice(-1));
    let u = {
        [o]: e.inputs,
        decoder_input_ids: toI64Tensor(i),
        encoder_outputs: e.encoder_outputs,
        past_key_values: e.prev_model_outputs?.past_key_values,
    };
    e.attention_mask && (u.attention_mask = e.attention_mask);
    let n = await t.forward(u);
    return (e.prev_model_outputs = n), (e.encoder_outputs = n.encoder_outputs), n;
}
function seq2seqUpdatebeam(t, e) {
    t.output_token_ids = [...t.output_token_ids, e];
}
async function encoderForward(t, e) {
    const o = Object.create(null);
    for (const i of t.session.inputNames) o[i] = e[i];
    return (
        t.session.inputNames.includes('token_type_ids') &&
            !o.token_type_ids &&
            (o.token_type_ids = new Tensor('int64', new BigInt64Array(o.input_ids.data.length), o.input_ids.dims)),
        await sessionRun(t.session, o)
    );
}
async function decoderForward(t, e) {
    let { input_ids: o, past_key_values: i, attention_mask: u } = e,
        n = { input_ids: o, attention_mask: u ?? prepareAttentionMask(t, o) };
    const s = !!i;
    t.session.inputNames.includes('use_cache_branch') && (n.use_cache_branch = boolTensor(s)),
        preparePositionIds(t.session, n, s),
        t.addPastKeyValues(n, i);
    let d = await sessionRun(t.session, n),
        f = d.logits;
    return (i = t.getPastKeyValues(d, i)), { logits: f, past_key_values: i };
}
function decoderStartBeams(t, e, o, i, u) {
    let n = [],
        s = 0;
    for (let d of e) {
        let f = d.tolist().map(Number);
        d.dims = [1, ...d.dims];
        let r;
        u ? ((r = u[s]), (r.dims = [1, ...r.dims])) : (r = prepareAttentionMask(t, d));
        let a = {
            input: d,
            model_input_ids: d,
            attention_mask: r,
            prev_model_outputs: null,
            output_token_ids: f,
            num_output_tokens: i,
            done: !1,
            score: 0,
            id: s++,
        };
        n.push(a);
    }
    return n;
}
async function decoderRunBeam(t, e) {
    let o = new BigInt64Array(e.output_token_ids.length).fill(1n),
        i = {
            input_ids: e.model_input_ids,
            attention_mask: new Tensor('int64', o, [1, o.length]),
            past_key_values: e.prev_model_outputs?.past_key_values,
        },
        u = await t.forward(i);
    return (e.prev_model_outputs = u), u;
}
function decoderUpdatebeam(t, e) {
    (t.output_token_ids = [...t.output_token_ids, e]), (t.model_input_ids = new Tensor('int64', [BigInt(e)], [1, 1]));
}
class PreTrainedModel extends Callable {
    main_input_name = 'input_ids';
    constructor(e, o) {
        super(), (this.config = e), (this.session = o);
        const i = MODEL_CLASS_TO_NAME_MAPPING.get(this.constructor),
            u = MODEL_TYPE_MAPPING.get(i);
        (this.can_generate = !1),
            (this._runBeam = null),
            (this._getStartBeams = null),
            (this._updateBeam = null),
            (this._forward = null),
            u === MODEL_TYPES.DecoderOnly
                ? ((this.can_generate = !0),
                  (this._runBeam = decoderRunBeam),
                  (this._getStartBeams = decoderStartBeams),
                  (this._updateBeam = decoderUpdatebeam),
                  (this._forward = decoderForward))
                : u === MODEL_TYPES.Seq2Seq || u === MODEL_TYPES.Vision2Seq
                ? ((this.can_generate = !0),
                  (this._runBeam = seq2seqRunBeam),
                  (this._getStartBeams = seq2seqStartBeams),
                  (this._updateBeam = seq2seqUpdatebeam),
                  (this._forward = seq2seqForward))
                : u === MODEL_TYPES.EncoderDecoder
                ? (this._forward = encoderForward)
                : (this._forward = encoderForward);
    }
    async dispose() {
        const e = [];
        for (let o of Object.keys(this)) {
            let i = this[o];
            i?.handler?.dispose !== void 0 && e.push(i.handler.dispose());
        }
        return await Promise.all(e);
    }
    static async from_pretrained(
        e,
        {
            quantized: o = !0,
            progress_callback: i = null,
            config: u = null,
            cache_dir: n = null,
            local_files_only: s = !1,
            revision: d = 'main',
            model_file_name: f = null,
            session_options: r = {},
        } = {}
    ) {
        let a = {
            quantized: o,
            progress_callback: i,
            config: u,
            cache_dir: n,
            local_files_only: s,
            revision: d,
            model_file_name: f,
            session_options: r,
        };
        const l = MODEL_CLASS_TO_NAME_MAPPING.get(this),
            p = MODEL_TYPE_MAPPING.get(l);
        let m;
        return (
            p === MODEL_TYPES.DecoderOnly
                ? (m = await Promise.all([
                      AutoConfig.from_pretrained(e, a),
                      constructSession(e, a.model_file_name ?? 'decoder_model_merged', a),
                      getModelJSON(e, 'generation_config.json', !1, a),
                  ]))
                : p === MODEL_TYPES.Seq2Seq || p === MODEL_TYPES.Vision2Seq
                ? (m = await Promise.all([
                      AutoConfig.from_pretrained(e, a),
                      constructSession(e, 'encoder_model', a),
                      constructSession(e, 'decoder_model_merged', a),
                      getModelJSON(e, 'generation_config.json', !1, a),
                  ]))
                : p === MODEL_TYPES.MaskGeneration
                ? (m = await Promise.all([
                      AutoConfig.from_pretrained(e, a),
                      constructSession(e, 'vision_encoder', a),
                      constructSession(e, 'prompt_encoder_mask_decoder', a),
                  ]))
                : p === MODEL_TYPES.EncoderDecoder
                ? (m = await Promise.all([
                      AutoConfig.from_pretrained(e, a),
                      constructSession(e, 'encoder_model', a),
                      constructSession(e, 'decoder_model_merged', a),
                  ]))
                : (p !== MODEL_TYPES.EncoderOnly &&
                      console.warn(
                          `Model type for '${
                              l ?? u?.model_type
                          }' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`
                      ),
                  (m = await Promise.all([
                      AutoConfig.from_pretrained(e, a),
                      constructSession(e, a.model_file_name ?? 'model', a),
                  ]))),
            new this(...m)
        );
    }
    async _call(e) {
        return await this.forward(e);
    }
    async forward(e) {
        return await this._forward(this, e);
    }
    _get_logits_processor(e, o, i = null) {
        const u = new LogitsProcessorList();
        if (
            (e.repetition_penalty !== null &&
                e.repetition_penalty !== 1 &&
                u.push(new RepetitionPenaltyLogitsProcessor(e.repetition_penalty)),
            e.no_repeat_ngram_size !== null &&
                e.no_repeat_ngram_size > 0 &&
                u.push(new NoRepeatNGramLogitsProcessor(e.no_repeat_ngram_size)),
            e.bad_words_ids !== null && u.push(new NoBadWordsLogitsProcessor(e.bad_words_ids, e.eos_token_id)),
            e.min_length !== null &&
                e.eos_token_id !== null &&
                e.min_length > 0 &&
                u.push(new MinLengthLogitsProcessor(e.min_length, e.eos_token_id)),
            e.min_new_tokens !== null &&
                e.eos_token_id !== null &&
                e.min_new_tokens > 0 &&
                u.push(new MinNewTokensLengthLogitsProcessor(o, e.min_new_tokens, e.eos_token_id)),
            e.forced_bos_token_id !== null && u.push(new ForcedBOSTokenLogitsProcessor(e.forced_bos_token_id)),
            e.forced_eos_token_id !== null &&
                u.push(new ForcedEOSTokenLogitsProcessor(e.max_length, e.forced_eos_token_id)),
            e.begin_suppress_tokens !== null)
        ) {
            let n = o > 1 || e.forced_bos_token_id === null ? o : o + 1;
            e.forced_decoder_ids !== null && (n += e.forced_decoder_ids[e.forced_decoder_ids.length - 1][0]),
                u.push(new SuppressTokensAtBeginLogitsProcessor(e.begin_suppress_tokens, n));
        }
        return (
            e.forced_decoder_ids !== null && u.push(new ForceTokensLogitsProcessor(e.forced_decoder_ids)),
            i !== null && u.extend(i),
            u
        );
    }
    _get_generation_config(e) {
        let o = new GenerationConfig(this.config);
        return (
            'generation_config' in this && Object.assign(o, this.generation_config),
            e !== null && Object.assign(o, e),
            o
        );
    }
    async generate(e, o = null, i = null, { inputs_attention_mask: u = null } = {}) {
        if (!this.can_generate) {
            let v = `The current model class (${MODEL_CLASS_TO_NAME_MAPPING.get(
                this.constructor
            )}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;
            const S = this.config.model_type,
                E =
                    MODEL_WITH_LM_HEAD_MAPPING_NAMES.get(S) ??
                    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES.get(S) ??
                    MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES.get(S) ??
                    MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES.get(S);
            throw (E && (v += ` Please use the following class instead: '${E[0]}'`), Error(v));
        }
        if (!(e instanceof Tensor) && !isTypedArray(e) && !Array.isArray(e))
            throw Error(`\`inputs\` must be a Tensor, TypedArray, or Array, but is "${e.constructor.name}".`);
        let n;
        if (this.config.is_encoder_decoder) n = 0;
        else if (((n = e instanceof Tensor ? e.dims.at(-1) : e.length), n === 0))
            throw Error('Must supply a non-empty array of input token ids.');
        (o = this._get_generation_config(o)),
            (i = i ?? new LogitsProcessorList()),
            (i = this._get_logits_processor(o, n, i));
        let s = o.eos_token_id;
        s !== null && !Array.isArray(s) && (s = [s]);
        let d = 1;
        const f = d + (o.max_new_tokens ?? 1 / 0),
            r = Number.isInteger(o.max_length) && (o.max_new_tokens ?? null) === null;
        let a = Sampler.getSampler(o),
            l = this.getStartBeams(e, o, d, u);
        for (; l.some((T) => !T.done) && d < f; ) {
            let T = [];
            for (let v of l) {
                if (v.done) {
                    T.push(v);
                    continue;
                }
                if (r && v.output_token_ids.length >= o.max_length) {
                    (v.done = !0), T.push(v);
                    continue;
                }
                let S = await this.runBeam(v);
                o.output_attentions && this.addAttentionsToBeam(v, S), o.output_scores;
                let E = S.logits.slice(null, -1, null);
                i(v.output_token_ids, E);
                let A = a(E);
                for (let [F, B] of A) {
                    let J = { ...v };
                    this.updateBeam(J, F), (J.score += B), s && s.includes(F) && (J.done = !0), T.push(J);
                }
            }
            ++d,
                (T = this.groupBeams(T).map((v) => v.sort((S, E) => E.score - S.score).slice(0, o.num_beams))),
                (l = T.flat()),
                o.callback_function && o.callback_function(l);
        }
        const p = this.groupBeams(l),
            m = (T) =>
                p
                    .map((v) =>
                        o.num_return_sequences > 1 ? v.slice(0, o.num_return_sequences).map((S) => S[T]) : [v[0][T]]
                    )
                    .flat(),
            y = m('output_token_ids');
        if (o.return_dict_in_generate) {
            const T = m('decoder_attentions'),
                v = m('cross_attentions');
            return { sequences: y, decoder_attentions: T, cross_attentions: v };
        } else return y;
    }
    addAttentionsToBeam(e, o) {
        if (this.config.is_encoder_decoder) {
            if (!o.cross_attentions || o.cross_attentions.length === 0)
                throw Error(
                    '`output_attentions` is true, but the model did not produce cross-attentions. This is most likely because the model was not exported with `output_attentions=True`.'
                );
            e.cross_attentions || (e.cross_attentions = []), e.cross_attentions.push(o.cross_attentions);
        }
        if (!o.decoder_attentions || o.decoder_attentions.length === 0)
            throw Error(
                '`output_attentions` is true, but the model did not produce decoder-attentions. This is most likely because the model was not exported with `output_attentions=True`.'
            );
        e.decoder_attentions || (e.decoder_attentions = []), e.decoder_attentions.push(o.decoder_attentions);
    }
    groupBeams(e) {
        const o = Object.create(null);
        for (const i of e) o[i.id] === void 0 ? (o[i.id] = [i]) : o[i.id].push(i);
        return Object.values(o);
    }
    getPastKeyValues(e, o) {
        const i = Object.create(null);
        for (const u in e)
            if (u.startsWith('present')) {
                let n = u.replace('present', 'past_key_values');
                o && u.includes('encoder') ? (i[n] = o[n]) : (i[n] = e[u]);
            }
        return i;
    }
    getAttentions(e) {
        const o = Object.create(null);
        for (const i of ['cross_attentions', 'decoder_attentions']) {
            const u = [];
            for (const n in e)
                if (n.startsWith(i)) {
                    const s = n.split('.').pop();
                    u[s] = e[n];
                }
            o[i] = u;
        }
        return o;
    }
    addPastKeyValues(e, o) {
        if (o) Object.assign(e, o);
        else {
            const u = this.config.precision || 'float32',
                n = u === 'float16' ? new Uint16Array() : [];
            if (this.config.is_encoder_decoder && (this.add_encoder_pkv ?? !0)) {
                let s = [1, this.num_encoder_heads, 0, this.encoder_dim_kv],
                    d = [1, this.num_decoder_heads, 0, this.decoder_dim_kv];
                for (let f = 0; f < this.num_decoder_layers; ++f)
                    (e[`past_key_values.${f}.encoder.key`] = new Tensor(u, n, s)),
                        (e[`past_key_values.${f}.encoder.value`] = new Tensor(u, n, s)),
                        (e[`past_key_values.${f}.decoder.key`] = new Tensor(u, n, d)),
                        (e[`past_key_values.${f}.decoder.value`] = new Tensor(u, n, d));
            } else if (this.config.model_type === 'falcon') {
                let s = [1 * this.num_heads, 0, this.dim_kv];
                for (let d = 0; d < this.num_layers; ++d)
                    (e[`past_key_values.${d}.key`] = new Tensor(u, n, s)),
                        (e[`past_key_values.${d}.value`] = new Tensor(u, n, s));
            } else if (this.config.multi_query) {
                let s = [1 * this.num_heads, 0, 2 * this.dim_kv];
                for (let d = 0; d < this.num_layers; ++d) e[`past_key_values.${d}.key_value`] = new Tensor(u, n, s);
            } else if (this.config.model_type === 'bloom') {
                let s = [1 * this.num_heads, this.dim_kv, 0],
                    d = [1 * this.num_heads, 0, this.dim_kv];
                for (let f = 0; f < this.num_layers; ++f)
                    (e[`past_key_values.${f}.key`] = new Tensor(u, n, s)),
                        (e[`past_key_values.${f}.value`] = new Tensor(u, n, d));
            } else {
                let s = [1, this.num_heads, 0, this.dim_kv];
                for (let d = 0; d < this.num_layers; ++d)
                    (e[`past_key_values.${d}.key`] = new Tensor(u, n, s)),
                        (e[`past_key_values.${d}.value`] = new Tensor(u, n, s));
            }
        }
    }
    getStartBeams(e, o, i, u) {
        return this._getStartBeams(this, e, o, i, u);
    }
    async runBeam(e) {
        return await this._runBeam(this, e);
    }
    updateBeam(e, o) {
        return this._updateBeam(e, o);
    }
}
class ModelOutput {}
class BertPreTrainedModel extends PreTrainedModel {}
class BertModel extends BertPreTrainedModel {}
class BertForMaskedLM extends BertPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class BertForSequenceClassification extends BertPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class BertForTokenClassification extends BertPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class BertForQuestionAnswering extends BertPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class NomicBertPreTrainedModel extends PreTrainedModel {}
class NomicBertModel extends NomicBertPreTrainedModel {}
class RoFormerPreTrainedModel extends PreTrainedModel {}
class RoFormerModel extends RoFormerPreTrainedModel {}
class RoFormerForMaskedLM extends RoFormerPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class RoFormerForSequenceClassification extends RoFormerPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class RoFormerForTokenClassification extends RoFormerPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class RoFormerForQuestionAnswering extends RoFormerPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class ConvBertPreTrainedModel extends PreTrainedModel {}
class ConvBertModel extends ConvBertPreTrainedModel {}
class ConvBertForMaskedLM extends ConvBertPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class ConvBertForSequenceClassification extends ConvBertPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class ConvBertForTokenClassification extends ConvBertPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class ConvBertForQuestionAnswering extends ConvBertPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class ElectraPreTrainedModel extends PreTrainedModel {}
class ElectraModel extends ElectraPreTrainedModel {}
class ElectraForMaskedLM extends ElectraPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class ElectraForSequenceClassification extends ElectraPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class ElectraForTokenClassification extends ElectraPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class ElectraForQuestionAnswering extends ElectraPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class CamembertPreTrainedModel extends PreTrainedModel {}
class CamembertModel extends CamembertPreTrainedModel {}
class CamembertForMaskedLM extends CamembertPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class CamembertForSequenceClassification extends CamembertPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class CamembertForTokenClassification extends CamembertPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class CamembertForQuestionAnswering extends CamembertPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class DebertaPreTrainedModel extends PreTrainedModel {}
class DebertaModel extends DebertaPreTrainedModel {}
class DebertaForMaskedLM extends DebertaPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class DebertaForSequenceClassification extends DebertaPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class DebertaForTokenClassification extends DebertaPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class DebertaForQuestionAnswering extends DebertaPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class DebertaV2PreTrainedModel extends PreTrainedModel {}
class DebertaV2Model extends DebertaV2PreTrainedModel {}
class DebertaV2ForMaskedLM extends DebertaV2PreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class DebertaV2ForSequenceClassification extends DebertaV2PreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class DebertaV2ForTokenClassification extends DebertaV2PreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class DebertaV2ForQuestionAnswering extends DebertaV2PreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class DistilBertPreTrainedModel extends PreTrainedModel {}
class DistilBertModel extends DistilBertPreTrainedModel {}
class DistilBertForSequenceClassification extends DistilBertPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class DistilBertForTokenClassification extends DistilBertPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class DistilBertForQuestionAnswering extends DistilBertPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class DistilBertForMaskedLM extends DistilBertPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class EsmPreTrainedModel extends PreTrainedModel {}
class EsmModel extends EsmPreTrainedModel {}
class EsmForMaskedLM extends EsmPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class EsmForSequenceClassification extends EsmPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class EsmForTokenClassification extends EsmPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class MobileBertPreTrainedModel extends PreTrainedModel {}
class MobileBertModel extends MobileBertPreTrainedModel {}
class MobileBertForMaskedLM extends MobileBertPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class MobileBertForSequenceClassification extends MobileBertPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class MobileBertForQuestionAnswering extends MobileBertPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class MPNetPreTrainedModel extends PreTrainedModel {}
class MPNetModel extends MPNetPreTrainedModel {}
class MPNetForMaskedLM extends MPNetPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class MPNetForSequenceClassification extends MPNetPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class MPNetForTokenClassification extends MPNetPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class MPNetForQuestionAnswering extends MPNetPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class SqueezeBertPreTrainedModel extends PreTrainedModel {}
class SqueezeBertModel extends SqueezeBertPreTrainedModel {}
class SqueezeBertForMaskedLM extends SqueezeBertPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class SqueezeBertForSequenceClassification extends SqueezeBertPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class SqueezeBertForQuestionAnswering extends SqueezeBertPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class AlbertPreTrainedModel extends PreTrainedModel {}
class AlbertModel extends AlbertPreTrainedModel {}
class AlbertForSequenceClassification extends AlbertPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class AlbertForQuestionAnswering extends AlbertPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class AlbertForMaskedLM extends AlbertPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class T5PreTrainedModel extends PreTrainedModel {}
class T5Model extends T5PreTrainedModel {}
class T5ForConditionalGeneration extends T5PreTrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.num_decoder_layers),
            (this.num_decoder_heads = this.config.num_heads),
            (this.decoder_dim_kv = this.config.d_kv),
            (this.num_encoder_layers = this.config.num_layers),
            (this.num_encoder_heads = this.config.num_heads),
            (this.encoder_dim_kv = this.config.d_kv);
    }
}
class LongT5PreTrainedModel extends PreTrainedModel {}
class LongT5Model extends LongT5PreTrainedModel {}
class LongT5ForConditionalGeneration extends LongT5PreTrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.num_decoder_layers),
            (this.num_decoder_heads = this.config.num_heads),
            (this.decoder_dim_kv = this.config.d_kv),
            (this.num_encoder_layers = this.config.num_layers),
            (this.num_encoder_heads = this.config.num_heads),
            (this.encoder_dim_kv = this.config.d_kv);
    }
}
class MT5PreTrainedModel extends PreTrainedModel {}
class MT5Model extends MT5PreTrainedModel {}
class MT5ForConditionalGeneration extends MT5PreTrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.num_decoder_layers),
            (this.num_decoder_heads = this.config.num_heads),
            (this.decoder_dim_kv = this.config.d_kv),
            (this.num_encoder_layers = this.config.num_layers),
            (this.num_encoder_heads = this.config.num_heads),
            (this.encoder_dim_kv = this.config.d_kv);
    }
}
class BartPretrainedModel extends PreTrainedModel {}
class BartModel extends BartPretrainedModel {}
class BartForConditionalGeneration extends BartPretrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.decoder_layers),
            (this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
            (this.num_encoder_layers = this.config.encoder_layers),
            (this.num_encoder_heads = this.config.encoder_attention_heads),
            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
    }
}
class BartForSequenceClassification extends BartPretrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class MBartPreTrainedModel extends PreTrainedModel {}
class MBartModel extends MBartPreTrainedModel {}
class MBartForConditionalGeneration extends MBartPreTrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.decoder_layers),
            (this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
            (this.num_encoder_layers = this.config.encoder_layers),
            (this.num_encoder_heads = this.config.encoder_attention_heads),
            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
    }
}
class MBartForSequenceClassification extends MBartPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class MBartForCausalLM extends MBartPreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.num_decoder_layers = this.config.decoder_layers),
            (this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
            (this.num_encoder_layers = this.config.encoder_layers),
            (this.num_encoder_heads = this.config.encoder_attention_heads),
            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
    }
}
class BlenderbotPreTrainedModel extends PreTrainedModel {}
class BlenderbotModel extends BlenderbotPreTrainedModel {}
class BlenderbotForConditionalGeneration extends BlenderbotPreTrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.decoder_layers),
            (this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
            (this.num_encoder_layers = this.config.encoder_layers),
            (this.num_encoder_heads = this.config.encoder_attention_heads),
            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
    }
}
class BlenderbotSmallPreTrainedModel extends PreTrainedModel {}
class BlenderbotSmallModel extends BlenderbotSmallPreTrainedModel {}
class BlenderbotSmallForConditionalGeneration extends BlenderbotSmallPreTrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.decoder_layers),
            (this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
            (this.num_encoder_layers = this.config.encoder_layers),
            (this.num_encoder_heads = this.config.encoder_attention_heads),
            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
    }
}
class RobertaPreTrainedModel extends PreTrainedModel {}
class RobertaModel extends RobertaPreTrainedModel {}
class RobertaForMaskedLM extends RobertaPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class RobertaForSequenceClassification extends RobertaPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class RobertaForTokenClassification extends RobertaPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class RobertaForQuestionAnswering extends RobertaPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class XLMPreTrainedModel extends PreTrainedModel {}
class XLMModel extends XLMPreTrainedModel {}
class XLMWithLMHeadModel extends XLMPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class XLMForSequenceClassification extends XLMPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class XLMForTokenClassification extends XLMPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class XLMForQuestionAnswering extends XLMPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class XLMRobertaPreTrainedModel extends PreTrainedModel {}
class XLMRobertaModel extends XLMRobertaPreTrainedModel {}
class XLMRobertaForMaskedLM extends XLMRobertaPreTrainedModel {
    async _call(e) {
        return new MaskedLMOutput(await super._call(e));
    }
}
class XLMRobertaForSequenceClassification extends XLMRobertaPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class XLMRobertaForTokenClassification extends XLMRobertaPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class XLMRobertaForQuestionAnswering extends XLMRobertaPreTrainedModel {
    async _call(e) {
        return new QuestionAnsweringModelOutput(await super._call(e));
    }
}
class ASTPreTrainedModel extends PreTrainedModel {}
class ASTModel extends ASTPreTrainedModel {}
class ASTForAudioClassification extends ASTPreTrainedModel {}
class WhisperPreTrainedModel extends PreTrainedModel {}
class WhisperModel extends WhisperPreTrainedModel {}
class WhisperForConditionalGeneration extends WhisperPreTrainedModel {
    requires_attention_mask = !1;
    main_input_name = 'input_features';
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.decoder_layers),
            (this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
            (this.num_encoder_layers = this.config.encoder_layers),
            (this.num_encoder_heads = this.config.encoder_attention_heads),
            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
    }
    async generate(e, o = null, i = null) {
        if (
            ((o = this._get_generation_config(o)),
            (o.return_timestamps ??= !1),
            o.return_timestamps && (i = [new WhisperTimeStampLogitsProcessor(o)]),
            o.return_token_timestamps &&
                ((o.output_attentions = !0),
                (o.return_dict_in_generate = !0),
                o.task === 'translate' &&
                    console.warn("Token-level timestamps may not be reliable for task 'translate'."),
                !o.alignment_heads))
        )
            throw new Error(
                'Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.'
            );
        const u = await super.generate(e, o, i);
        return (
            o.return_token_timestamps &&
                o.alignment_heads &&
                (u.token_timestamps = this._extract_token_timestamps(u, o.alignment_heads, o.num_frames)),
            u
        );
    }
    _extract_token_timestamps(e, o, i = null, u = 0.02) {
        if (!e.cross_attentions)
            throw new Error(
                'Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.'
            );
        let n = this.config.median_filter_width;
        n === void 0 && (console.warn('Model config has no `median_filter_width`, using default value of 7.'), (n = 7));
        const s = e.cross_attentions.map((r) => {
                let a = Array.from({ length: this.config.decoder_layers }, (v, S) =>
                        cat(
                            r.map((E) => E[S]),
                            2
                        )
                    ),
                    l = stack(o.map(([v, S]) => (i ? a[v].slice(null, S, null, [0, i]) : a[v].slice(null, S))));
                l = l.transpose(1, 0, 2, 3);
                let [p, m] = std_mean(l, -2, 0, !0),
                    y = l.clone();
                for (let v = 0; v < y.dims[0]; ++v) {
                    let S = y[v];
                    for (let E = 0; E < S.dims[0]; ++E) {
                        let A = S[E];
                        const F = p[v][E][0],
                            B = m[v][E][0];
                        for (let J = 0; J < A.dims[0]; ++J) {
                            let Q = A[J];
                            for (let re = 0; re < Q.data.length; ++re)
                                Q.data[re] = (Q.data[re] - B.data[re]) / F.data[re];
                            Q.data.set(medianFilter(Q.data, n));
                        }
                    }
                }
                return mean(y, 1);
            }),
            d = [e.sequences.length, e.sequences[0].length],
            f = new Tensor('float32', new Float32Array(d[0] * d[1]), d);
        for (let r = 0; r < d[0]; ++r) {
            const a = s[r].neg().squeeze_(0);
            let [l, p] = dynamicTimeWarping(a),
                m = Array.from({ length: l.length - 1 }, (v, S) => l[S + 1] - l[S]),
                y = mergeArrays([1], m).map((v) => !!v),
                T = [];
            for (let v = 0; v < y.length; ++v) y[v] && T.push(p[v] * u);
            f[r].data.set(T, 1);
        }
        return f;
    }
}
class VisionEncoderDecoderModel extends PreTrainedModel {
    main_input_name = 'pixel_values';
    constructor(e, o, i, u) {
        super(e, o), (this.decoder_merged_session = i), (this.generation_config = u);
        const n = this.config.encoder,
            s = this.config.decoder,
            d = n.model_type;
        (MODEL_MAPPING_NAMES_ENCODER_ONLY.get(d) ?? MODEL_MAPPING_NAMES_ENCODER_DECODER.get(d)) ||
            console.warn(
                `Model type for encoder '${d}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`
            );
        const r = MODEL_WITH_LM_HEAD_MAPPING_NAMES.get(s.model_type);
        if (!r)
            throw new Error(
                `Unable to construct \`VisionEncoderDecoder\` due to unsupported decoder: "${this.config.decoder.model_type}"`
            );
        const a = r[1],
            l = new a(s, i, u);
        (this.add_encoder_pkv = 'num_decoder_layers' in l),
            this.add_encoder_pkv
                ? ((this.num_decoder_layers = l.num_decoder_layers),
                  (this.num_decoder_heads = l.num_decoder_heads),
                  (this.decoder_dim_kv = l.decoder_dim_kv),
                  (this.num_encoder_layers = l.num_encoder_layers),
                  (this.num_encoder_heads = l.num_encoder_heads),
                  (this.encoder_dim_kv = l.encoder_dim_kv))
                : ((this.num_layers = l.num_layers), (this.num_heads = l.num_heads), (this.dim_kv = l.dim_kv));
    }
}
class CLIPPreTrainedModel extends PreTrainedModel {}
class CLIPModel extends CLIPPreTrainedModel {}
class CLIPTextModelWithProjection extends CLIPPreTrainedModel {
    static async from_pretrained(e, o = {}) {
        return (o.model_file_name ??= 'text_model'), super.from_pretrained(e, o);
    }
}
class CLIPVisionModelWithProjection extends CLIPPreTrainedModel {
    static async from_pretrained(e, o = {}) {
        return (o.model_file_name ??= 'vision_model'), super.from_pretrained(e, o);
    }
}
class SiglipPreTrainedModel extends PreTrainedModel {}
class SiglipModel extends SiglipPreTrainedModel {}
class SiglipTextModel extends SiglipPreTrainedModel {
    static async from_pretrained(e, o = {}) {
        return (o.model_file_name ??= 'text_model'), super.from_pretrained(e, o);
    }
}
class SiglipVisionModel extends CLIPPreTrainedModel {
    static async from_pretrained(e, o = {}) {
        return (o.model_file_name ??= 'vision_model'), super.from_pretrained(e, o);
    }
}
class ChineseCLIPPreTrainedModel extends PreTrainedModel {}
class ChineseCLIPModel extends ChineseCLIPPreTrainedModel {}
class CLIPSegPreTrainedModel extends PreTrainedModel {}
class CLIPSegModel extends CLIPSegPreTrainedModel {}
class CLIPSegForImageSegmentation extends CLIPSegPreTrainedModel {}
class GPT2PreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.n_head),
            (this.num_layers = this.config.n_layer),
            (this.dim_kv = this.config.n_embd / this.num_heads);
    }
}
class GPT2Model extends GPT2PreTrainedModel {}
class GPT2LMHeadModel extends GPT2PreTrainedModel {}
class GPTNeoPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_heads),
            (this.num_layers = this.config.num_layers),
            (this.dim_kv = this.config.hidden_size / this.num_heads);
    }
}
class GPTNeoModel extends GPTNeoPreTrainedModel {}
class GPTNeoForCausalLM extends GPTNeoPreTrainedModel {}
class GPTNeoXPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_attention_heads),
            (this.num_layers = this.config.num_hidden_layers),
            (this.dim_kv = this.config.hidden_size / this.num_heads);
    }
}
class GPTNeoXModel extends GPTNeoXPreTrainedModel {}
class GPTNeoXForCausalLM extends GPTNeoXPreTrainedModel {}
class GPTJPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.n_head),
            (this.num_layers = this.config.n_layer),
            (this.dim_kv = this.config.n_embd / this.num_heads);
    }
}
class GPTJModel extends GPTJPreTrainedModel {}
class GPTJForCausalLM extends GPTJPreTrainedModel {}
class GPTBigCodePreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.n_head),
            (this.num_layers = this.config.n_layer),
            (this.dim_kv = this.config.n_embd / this.num_heads);
    }
}
class GPTBigCodeModel extends GPTBigCodePreTrainedModel {}
class GPTBigCodeForCausalLM extends GPTBigCodePreTrainedModel {}
class CodeGenPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.n_head),
            (this.num_layers = this.config.n_layer),
            (this.dim_kv = this.config.n_embd / this.num_heads);
    }
}
class CodeGenModel extends CodeGenPreTrainedModel {}
class CodeGenForCausalLM extends CodeGenPreTrainedModel {}
class LlamaPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_key_value_heads ?? this.config.num_attention_heads),
            (this.num_layers = this.config.num_hidden_layers),
            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
    }
}
class LlamaModel extends LlamaPreTrainedModel {}
class LlamaForCausalLM extends LlamaPreTrainedModel {}
class Qwen2PreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_key_value_heads ?? this.config.num_attention_heads),
            (this.num_layers = this.config.num_hidden_layers),
            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
    }
}
class Qwen2Model extends Qwen2PreTrainedModel {}
class Qwen2ForCausalLM extends Qwen2PreTrainedModel {}
class PhiPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_attention_heads),
            (this.num_layers = this.config.num_hidden_layers),
            (this.dim_kv = this.config.hidden_size / this.num_heads);
    }
}
class PhiModel extends PhiPreTrainedModel {}
class PhiForCausalLM extends PhiPreTrainedModel {}
class BloomPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.n_head),
            (this.num_layers = this.config.n_layer),
            (this.dim_kv = this.config.hidden_size / this.num_heads);
    }
}
class BloomModel extends BloomPreTrainedModel {}
class BloomForCausalLM extends BloomPreTrainedModel {}
class MptPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.n_heads),
            (this.num_layers = this.config.n_layers),
            (this.dim_kv = this.config.d_model / this.num_heads);
    }
}
class MptModel extends MptPreTrainedModel {}
class MptForCausalLM extends MptPreTrainedModel {}
class OPTPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_attention_heads),
            (this.num_layers = this.config.num_hidden_layers),
            (this.dim_kv = this.config.hidden_size / this.num_heads);
    }
}
class OPTModel extends OPTPreTrainedModel {}
class OPTForCausalLM extends OPTPreTrainedModel {}
class ViTPreTrainedModel extends PreTrainedModel {}
class ViTModel extends ViTPreTrainedModel {}
class ViTForImageClassification extends ViTPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class VitMattePreTrainedModel extends PreTrainedModel {}
class VitMatteForImageMatting extends VitMattePreTrainedModel {
    async _call(e) {
        return new ImageMattingOutput(await super._call(e));
    }
}
class MobileViTPreTrainedModel extends PreTrainedModel {}
class MobileViTModel extends MobileViTPreTrainedModel {}
class MobileViTForImageClassification extends MobileViTPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class OwlViTPreTrainedModel extends PreTrainedModel {}
class OwlViTModel extends OwlViTPreTrainedModel {}
class OwlViTForObjectDetection extends OwlViTPreTrainedModel {}
class Owlv2PreTrainedModel extends PreTrainedModel {}
class Owlv2Model extends Owlv2PreTrainedModel {}
class Owlv2ForObjectDetection extends Owlv2PreTrainedModel {}
class BeitPreTrainedModel extends PreTrainedModel {}
class BeitModel extends BeitPreTrainedModel {}
class BeitForImageClassification extends BeitPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class DetrPreTrainedModel extends PreTrainedModel {}
class DetrModel extends DetrPreTrainedModel {}
class DetrForObjectDetection extends DetrPreTrainedModel {
    async _call(e) {
        return new DetrObjectDetectionOutput(await super._call(e));
    }
}
class DetrForSegmentation extends DetrPreTrainedModel {
    async _call(e) {
        return new DetrSegmentationOutput(await super._call(e));
    }
}
class DetrObjectDetectionOutput extends ModelOutput {
    constructor({ logits: e, pred_boxes: o }) {
        super(), (this.logits = e), (this.pred_boxes = o);
    }
}
class DetrSegmentationOutput extends ModelOutput {
    constructor({ logits: e, pred_boxes: o, pred_masks: i }) {
        super(), (this.logits = e), (this.pred_boxes = o), (this.pred_masks = i);
    }
}
class TableTransformerPreTrainedModel extends PreTrainedModel {}
class TableTransformerModel extends TableTransformerPreTrainedModel {}
class TableTransformerForObjectDetection extends TableTransformerPreTrainedModel {
    async _call(e) {
        return new TableTransformerObjectDetectionOutput(await super._call(e));
    }
}
class TableTransformerObjectDetectionOutput extends DetrObjectDetectionOutput {}
class DeiTPreTrainedModel extends PreTrainedModel {}
class DeiTModel extends DeiTPreTrainedModel {}
class DeiTForImageClassification extends DeiTPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class ResNetPreTrainedModel extends PreTrainedModel {}
class ResNetModel extends ResNetPreTrainedModel {}
class ResNetForImageClassification extends ResNetPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class SwinPreTrainedModel extends PreTrainedModel {}
class SwinModel extends SwinPreTrainedModel {}
class SwinForImageClassification extends SwinPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class Swin2SRPreTrainedModel extends PreTrainedModel {}
class Swin2SRModel extends Swin2SRPreTrainedModel {}
class Swin2SRForImageSuperResolution extends Swin2SRPreTrainedModel {}
class DPTPreTrainedModel extends PreTrainedModel {}
class DPTModel extends DPTPreTrainedModel {}
class DPTForDepthEstimation extends DPTPreTrainedModel {}
class DepthAnythingPreTrainedModel extends PreTrainedModel {}
class DepthAnythingForDepthEstimation extends DepthAnythingPreTrainedModel {}
class GLPNPreTrainedModel extends PreTrainedModel {}
class GLPNModel extends GLPNPreTrainedModel {}
class GLPNForDepthEstimation extends GLPNPreTrainedModel {}
class DonutSwinPreTrainedModel extends PreTrainedModel {}
class DonutSwinModel extends DonutSwinPreTrainedModel {}
class ConvNextPreTrainedModel extends PreTrainedModel {}
class ConvNextModel extends ConvNextPreTrainedModel {}
class ConvNextForImageClassification extends ConvNextPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class ConvNextV2PreTrainedModel extends PreTrainedModel {}
class ConvNextV2Model extends ConvNextV2PreTrainedModel {}
class ConvNextV2ForImageClassification extends ConvNextV2PreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class Dinov2PreTrainedModel extends PreTrainedModel {}
class Dinov2Model extends Dinov2PreTrainedModel {}
class Dinov2ForImageClassification extends Dinov2PreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class YolosPreTrainedModel extends PreTrainedModel {}
class YolosModel extends YolosPreTrainedModel {}
class YolosForObjectDetection extends YolosPreTrainedModel {
    async _call(e) {
        return new YolosObjectDetectionOutput(await super._call(e));
    }
}
class YolosObjectDetectionOutput extends ModelOutput {
    constructor({ logits: e, pred_boxes: o }) {
        super(), (this.logits = e), (this.pred_boxes = o);
    }
}
class SamPreTrainedModel extends PreTrainedModel {}
class SamModel extends SamPreTrainedModel {
    constructor(e, o, i) {
        super(e, o), (this.prompt_encoder_mask_decoder = i);
    }
    async get_image_embeddings({ pixel_values: e }) {
        return await encoderForward(this, { pixel_values: e });
    }
    async forward(e) {
        if (
            ((!e.image_embeddings || !e.image_positional_embeddings) &&
                (e = { ...e, ...(await this.get_image_embeddings(e)) }),
            !e.input_labels)
        ) {
            const o = e.input_points.dims.slice(0, -1),
                i = o.reduce((u, n) => u * n, 1);
            e.input_labels = new Tensor('int64', new BigInt64Array(i).fill(1n), o);
        }
        return await sessionRun(this.prompt_encoder_mask_decoder, {
            input_points: e.input_points,
            input_labels: e.input_labels,
            image_embeddings: e.image_embeddings,
            image_positional_embeddings: e.image_positional_embeddings,
        });
    }
    async _call(e) {
        return new SamImageSegmentationOutput(await super._call(e));
    }
}
class SamImageSegmentationOutput extends ModelOutput {
    constructor({ iou_scores: e, pred_masks: o }) {
        super(), (this.iou_scores = e), (this.pred_masks = o);
    }
}
class MarianPreTrainedModel extends PreTrainedModel {}
class MarianModel extends MarianPreTrainedModel {}
class MarianMTModel extends MarianPreTrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.decoder_layers),
            (this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
            (this.num_encoder_layers = this.config.encoder_layers),
            (this.num_encoder_heads = this.config.encoder_attention_heads),
            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
    }
}
class M2M100PreTrainedModel extends PreTrainedModel {}
class M2M100Model extends M2M100PreTrainedModel {}
class M2M100ForConditionalGeneration extends M2M100PreTrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.decoder_layers),
            (this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
            (this.num_encoder_layers = this.config.encoder_layers),
            (this.num_encoder_heads = this.config.encoder_attention_heads),
            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
    }
}
class Wav2Vec2PreTrainedModel extends PreTrainedModel {}
class Wav2Vec2Model extends Wav2Vec2PreTrainedModel {}
class Wav2Vec2ForCTC extends Wav2Vec2PreTrainedModel {
    async _call(e) {
        return new CausalLMOutput(await super._call(e));
    }
}
class Wav2Vec2ForSequenceClassification extends Wav2Vec2PreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class Wav2Vec2ForAudioFrameClassification extends Wav2Vec2PreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class UniSpeechPreTrainedModel extends PreTrainedModel {}
class UniSpeechModel extends UniSpeechPreTrainedModel {}
class UniSpeechForCTC extends UniSpeechPreTrainedModel {
    async _call(e) {
        return new CausalLMOutput(await super._call(e));
    }
}
class UniSpeechForSequenceClassification extends UniSpeechPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class UniSpeechSatPreTrainedModel extends PreTrainedModel {}
class UniSpeechSatModel extends UniSpeechSatPreTrainedModel {}
class UniSpeechSatForCTC extends UniSpeechSatPreTrainedModel {
    async _call(e) {
        return new CausalLMOutput(await super._call(e));
    }
}
class UniSpeechSatForSequenceClassification extends UniSpeechSatPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class UniSpeechSatForAudioFrameClassification extends UniSpeechSatPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class Wav2Vec2BertPreTrainedModel extends PreTrainedModel {}
class Wav2Vec2BertModel extends Wav2Vec2BertPreTrainedModel {}
class Wav2Vec2BertForCTC extends Wav2Vec2BertPreTrainedModel {
    async _call(e) {
        return new CausalLMOutput(await super._call(e));
    }
}
class Wav2Vec2BertForSequenceClassification extends Wav2Vec2BertPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class HubertModel extends Wav2Vec2PreTrainedModel {}
class HubertForCTC extends Wav2Vec2PreTrainedModel {
    async _call(e) {
        return new CausalLMOutput(await super._call(e));
    }
}
class HubertForSequenceClassification extends Wav2Vec2PreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class WavLMPreTrainedModel extends PreTrainedModel {}
class WavLMModel extends WavLMPreTrainedModel {}
class WavLMForCTC extends WavLMPreTrainedModel {
    async _call(e) {
        return new CausalLMOutput(await super._call(e));
    }
}
class WavLMForSequenceClassification extends WavLMPreTrainedModel {
    async _call(e) {
        return new SequenceClassifierOutput(await super._call(e));
    }
}
class WavLMForXVector extends WavLMPreTrainedModel {
    async _call(e) {
        return new XVectorOutput(await super._call(e));
    }
}
class WavLMForAudioFrameClassification extends WavLMPreTrainedModel {
    async _call(e) {
        return new TokenClassifierOutput(await super._call(e));
    }
}
class SpeechT5PreTrainedModel extends PreTrainedModel {}
class SpeechT5ForSpeechToText extends SpeechT5PreTrainedModel {}
class SpeechT5ForTextToSpeech extends SpeechT5PreTrainedModel {
    constructor(e, o, i, u) {
        super(e, o),
            (this.decoder_merged_session = i),
            (this.generation_config = u),
            (this.num_decoder_layers = this.config.decoder_layers),
            (this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.decoder_dim_kv = this.config.hidden_size / this.num_decoder_heads),
            (this.num_encoder_layers = this.config.encoder_layers),
            (this.num_encoder_heads = this.config.encoder_attention_heads),
            (this.encoder_dim_kv = this.config.hidden_size / this.num_encoder_heads);
    }
    async generate_speech(
        e,
        o,
        { threshold: i = 0.5, minlenratio: u = 0, maxlenratio: n = 20, vocoder: s = null } = {}
    ) {
        const d = { input_ids: e },
            { encoder_outputs: f, encoder_attention_mask: r } = await encoderForward(this, d),
            a = f.dims[1] / this.config.reduction_factor,
            l = Math.floor(a * n),
            p = Math.floor(a * u),
            m = this.config.num_mel_bins;
        let y = [],
            T = null,
            v = null,
            S = 0;
        for (;;) {
            ++S;
            const F = boolTensor(!!v);
            let B;
            v ? (B = v.output_sequence_out) : (B = new Tensor('float32', new Float32Array(m), [1, 1, m]));
            let J = {
                use_cache_branch: F,
                output_sequence: B,
                encoder_attention_mask: r,
                speaker_embeddings: o,
                encoder_hidden_states: f,
            };
            this.addPastKeyValues(J, T),
                (v = await sessionRun(this.decoder_merged_session, J)),
                (T = this.getPastKeyValues(v, T));
            const { prob: Q, spectrum: re } = v;
            if ((y.push(re), S >= p && (Array.from(Q.data).filter((V) => V >= i).length > 0 || S >= l))) break;
        }
        const E = cat(y),
            { waveform: A } = await sessionRun(s.session, { spectrogram: E });
        return { spectrogram: E, waveform: A };
    }
}
class SpeechT5HifiGan extends PreTrainedModel {
    main_input_name = 'spectrogram';
}
class TrOCRPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_encoder_layers = this.num_decoder_layers = this.config.decoder_layers),
            (this.num_encoder_heads = this.num_decoder_heads = this.config.decoder_attention_heads),
            (this.encoder_dim_kv = this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads);
    }
}
class TrOCRForCausalLM extends TrOCRPreTrainedModel {}
class MistralPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_key_value_heads),
            (this.num_layers = this.config.num_hidden_layers),
            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
    }
}
class MistralModel extends MistralPreTrainedModel {}
class MistralForCausalLM extends MistralPreTrainedModel {}
class Starcoder2PreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_key_value_heads),
            (this.num_layers = this.config.num_hidden_layers),
            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
    }
}
class Starcoder2Model extends Starcoder2PreTrainedModel {}
class Starcoder2ForCausalLM extends Starcoder2PreTrainedModel {}
class FalconPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_attention_heads),
            (this.num_layers = this.config.num_hidden_layers),
            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
    }
}
class FalconModel extends FalconPreTrainedModel {}
class FalconForCausalLM extends FalconPreTrainedModel {}
class ClapPreTrainedModel extends PreTrainedModel {}
class ClapModel extends ClapPreTrainedModel {}
class ClapTextModelWithProjection extends ClapPreTrainedModel {
    static async from_pretrained(e, o = {}) {
        return (o.model_file_name ??= 'text_model'), super.from_pretrained(e, o);
    }
}
class ClapAudioModelWithProjection extends ClapPreTrainedModel {
    static async from_pretrained(e, o = {}) {
        return (o.model_file_name ??= 'audio_model'), super.from_pretrained(e, o);
    }
}
class VitsPreTrainedModel extends PreTrainedModel {}
class VitsModel extends VitsPreTrainedModel {
    async _call(e) {
        return new VitsModelOutput(await super._call(e));
    }
}
class SegformerPreTrainedModel extends PreTrainedModel {}
class SegformerForImageClassification extends SegformerPreTrainedModel {}
class SegformerForSemanticSegmentation extends SegformerPreTrainedModel {}
class StableLmPreTrainedModel extends PreTrainedModel {
    constructor(e, o, i) {
        super(e, o),
            (this.generation_config = i),
            (this.config.pad_token_id = this.config.eos_token_id),
            (this.num_heads = this.config.num_attention_heads),
            (this.num_layers = this.config.num_hidden_layers),
            (this.dim_kv = this.config.hidden_size / this.num_heads);
    }
}
class StableLmForCausalLM extends StableLmPreTrainedModel {}
class PretrainedMixin {
    static MODEL_CLASS_MAPPINGS = null;
    static BASE_IF_FAIL = !1;
    static async from_pretrained(
        e,
        {
            quantized: o = !0,
            progress_callback: i = null,
            config: u = null,
            cache_dir: n = null,
            local_files_only: s = !1,
            revision: d = 'main',
            model_file_name: f = null,
            session_options: r = {},
        } = {}
    ) {
        let a = {
            quantized: o,
            progress_callback: i,
            config: u,
            cache_dir: n,
            local_files_only: s,
            revision: d,
            model_file_name: f,
            session_options: r,
        };
        if (((u = await AutoConfig.from_pretrained(e, a)), a.config || (a.config = u), !this.MODEL_CLASS_MAPPINGS))
            throw new Error('`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: ' + this.name);
        for (let l of this.MODEL_CLASS_MAPPINGS) {
            const p = l.get(u.model_type);
            if (p) return await p[1].from_pretrained(e, a);
        }
        if (this.BASE_IF_FAIL)
            return (
                console.warn(`Unknown model class "${u.model_type}", attempting to construct from base class.`),
                await PreTrainedModel.from_pretrained(e, a)
            );
        throw Error(`Unsupported model type: ${u.model_type}`);
    }
}
const MODEL_MAPPING_NAMES_ENCODER_ONLY = new Map([
        ['bert', ['BertModel', BertModel]],
        ['nomic_bert', ['NomicBertModel', NomicBertModel]],
        ['roformer', ['RoFormerModel', RoFormerModel]],
        ['electra', ['ElectraModel', ElectraModel]],
        ['esm', ['EsmModel', EsmModel]],
        ['convbert', ['ConvBertModel', ConvBertModel]],
        ['camembert', ['CamembertModel', CamembertModel]],
        ['deberta', ['DebertaModel', DebertaModel]],
        ['deberta-v2', ['DebertaV2Model', DebertaV2Model]],
        ['mpnet', ['MPNetModel', MPNetModel]],
        ['albert', ['AlbertModel', AlbertModel]],
        ['distilbert', ['DistilBertModel', DistilBertModel]],
        ['roberta', ['RobertaModel', RobertaModel]],
        ['xlm', ['XLMModel', XLMModel]],
        ['xlm-roberta', ['XLMRobertaModel', XLMRobertaModel]],
        ['clap', ['ClapModel', ClapModel]],
        ['clip', ['CLIPModel', CLIPModel]],
        ['clipseg', ['CLIPSegModel', CLIPSegModel]],
        ['chinese_clip', ['ChineseCLIPModel', ChineseCLIPModel]],
        ['siglip', ['SiglipModel', SiglipModel]],
        ['mobilebert', ['MobileBertModel', MobileBertModel]],
        ['squeezebert', ['SqueezeBertModel', SqueezeBertModel]],
        ['wav2vec2', ['Wav2Vec2Model', Wav2Vec2Model]],
        ['wav2vec2-bert', ['Wav2Vec2BertModel', Wav2Vec2BertModel]],
        ['unispeech', ['UniSpeechModel', UniSpeechModel]],
        ['unispeech-sat', ['UniSpeechSatModel', UniSpeechSatModel]],
        ['hubert', ['HubertModel', HubertModel]],
        ['wavlm', ['WavLMModel', WavLMModel]],
        ['audio-spectrogram-transformer', ['ASTModel', ASTModel]],
        ['vits', ['VitsModel', VitsModel]],
        ['detr', ['DetrModel', DetrModel]],
        ['table-transformer', ['TableTransformerModel', TableTransformerModel]],
        ['vit', ['ViTModel', ViTModel]],
        ['mobilevit', ['MobileViTModel', MobileViTModel]],
        ['owlvit', ['OwlViTModel', OwlViTModel]],
        ['owlv2', ['Owlv2Model', Owlv2Model]],
        ['beit', ['BeitModel', BeitModel]],
        ['deit', ['DeiTModel', DeiTModel]],
        ['convnext', ['ConvNextModel', ConvNextModel]],
        ['convnextv2', ['ConvNextV2Model', ConvNextV2Model]],
        ['dinov2', ['Dinov2Model', Dinov2Model]],
        ['resnet', ['ResNetModel', ResNetModel]],
        ['swin', ['SwinModel', SwinModel]],
        ['swin2sr', ['Swin2SRModel', Swin2SRModel]],
        ['donut-swin', ['DonutSwinModel', DonutSwinModel]],
        ['yolos', ['YolosModel', YolosModel]],
        ['dpt', ['DPTModel', DPTModel]],
        ['glpn', ['GLPNModel', GLPNModel]],
        ['hifigan', ['SpeechT5HifiGan', SpeechT5HifiGan]],
    ]),
    MODEL_MAPPING_NAMES_ENCODER_DECODER = new Map([
        ['t5', ['T5Model', T5Model]],
        ['longt5', ['LongT5Model', LongT5Model]],
        ['mt5', ['MT5Model', MT5Model]],
        ['bart', ['BartModel', BartModel]],
        ['mbart', ['MBartModel', MBartModel]],
        ['marian', ['MarianModel', MarianModel]],
        ['whisper', ['WhisperModel', WhisperModel]],
        ['m2m_100', ['M2M100Model', M2M100Model]],
        ['blenderbot', ['BlenderbotModel', BlenderbotModel]],
        ['blenderbot-small', ['BlenderbotSmallModel', BlenderbotSmallModel]],
    ]),
    MODEL_MAPPING_NAMES_DECODER_ONLY = new Map([
        ['bloom', ['BloomModel', BloomModel]],
        ['gpt2', ['GPT2Model', GPT2Model]],
        ['gptj', ['GPTJModel', GPTJModel]],
        ['gpt_bigcode', ['GPTBigCodeModel', GPTBigCodeModel]],
        ['gpt_neo', ['GPTNeoModel', GPTNeoModel]],
        ['gpt_neox', ['GPTNeoXModel', GPTNeoXModel]],
        ['codegen', ['CodeGenModel', CodeGenModel]],
        ['llama', ['LlamaModel', LlamaModel]],
        ['qwen2', ['Qwen2Model', Qwen2Model]],
        ['phi', ['PhiModel', PhiModel]],
        ['mpt', ['MptModel', MptModel]],
        ['opt', ['OPTModel', OPTModel]],
        ['mistral', ['MistralModel', MistralModel]],
        ['starcoder2', ['Starcoder2Model', Starcoder2Model]],
        ['falcon', ['FalconModel', FalconModel]],
    ]),
    MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES = new Map([
        ['speecht5', ['SpeechT5ForSpeechToText', SpeechT5ForSpeechToText]],
        ['whisper', ['WhisperForConditionalGeneration', WhisperForConditionalGeneration]],
    ]),
    MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES = new Map([
        ['speecht5', ['SpeechT5ForTextToSpeech', SpeechT5ForTextToSpeech]],
    ]),
    MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES = new Map([['vits', ['VitsModel', VitsModel]]]),
    MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES = new Map([
        ['bert', ['BertForSequenceClassification', BertForSequenceClassification]],
        ['roformer', ['RoFormerForSequenceClassification', RoFormerForSequenceClassification]],
        ['electra', ['ElectraForSequenceClassification', ElectraForSequenceClassification]],
        ['esm', ['EsmForSequenceClassification', EsmForSequenceClassification]],
        ['convbert', ['ConvBertForSequenceClassification', ConvBertForSequenceClassification]],
        ['camembert', ['CamembertForSequenceClassification', CamembertForSequenceClassification]],
        ['deberta', ['DebertaForSequenceClassification', DebertaForSequenceClassification]],
        ['deberta-v2', ['DebertaV2ForSequenceClassification', DebertaV2ForSequenceClassification]],
        ['mpnet', ['MPNetForSequenceClassification', MPNetForSequenceClassification]],
        ['albert', ['AlbertForSequenceClassification', AlbertForSequenceClassification]],
        ['distilbert', ['DistilBertForSequenceClassification', DistilBertForSequenceClassification]],
        ['roberta', ['RobertaForSequenceClassification', RobertaForSequenceClassification]],
        ['xlm', ['XLMForSequenceClassification', XLMForSequenceClassification]],
        ['xlm-roberta', ['XLMRobertaForSequenceClassification', XLMRobertaForSequenceClassification]],
        ['bart', ['BartForSequenceClassification', BartForSequenceClassification]],
        ['mbart', ['MBartForSequenceClassification', MBartForSequenceClassification]],
        ['mobilebert', ['MobileBertForSequenceClassification', MobileBertForSequenceClassification]],
        ['squeezebert', ['SqueezeBertForSequenceClassification', SqueezeBertForSequenceClassification]],
    ]),
    MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES = new Map([
        ['bert', ['BertForTokenClassification', BertForTokenClassification]],
        ['roformer', ['RoFormerForTokenClassification', RoFormerForTokenClassification]],
        ['electra', ['ElectraForTokenClassification', ElectraForTokenClassification]],
        ['esm', ['EsmForTokenClassification', EsmForTokenClassification]],
        ['convbert', ['ConvBertForTokenClassification', ConvBertForTokenClassification]],
        ['camembert', ['CamembertForTokenClassification', CamembertForTokenClassification]],
        ['deberta', ['DebertaForTokenClassification', DebertaForTokenClassification]],
        ['deberta-v2', ['DebertaV2ForTokenClassification', DebertaV2ForTokenClassification]],
        ['mpnet', ['MPNetForTokenClassification', MPNetForTokenClassification]],
        ['distilbert', ['DistilBertForTokenClassification', DistilBertForTokenClassification]],
        ['roberta', ['RobertaForTokenClassification', RobertaForTokenClassification]],
        ['xlm', ['XLMForTokenClassification', XLMForTokenClassification]],
        ['xlm-roberta', ['XLMRobertaForTokenClassification', XLMRobertaForTokenClassification]],
    ]),
    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES = new Map([
        ['t5', ['T5ForConditionalGeneration', T5ForConditionalGeneration]],
        ['longt5', ['LongT5ForConditionalGeneration', LongT5ForConditionalGeneration]],
        ['mt5', ['MT5ForConditionalGeneration', MT5ForConditionalGeneration]],
        ['bart', ['BartForConditionalGeneration', BartForConditionalGeneration]],
        ['mbart', ['MBartForConditionalGeneration', MBartForConditionalGeneration]],
        ['marian', ['MarianMTModel', MarianMTModel]],
        ['m2m_100', ['M2M100ForConditionalGeneration', M2M100ForConditionalGeneration]],
        ['blenderbot', ['BlenderbotForConditionalGeneration', BlenderbotForConditionalGeneration]],
        ['blenderbot-small', ['BlenderbotSmallForConditionalGeneration', BlenderbotSmallForConditionalGeneration]],
    ]),
    MODEL_WITH_LM_HEAD_MAPPING_NAMES = new Map([
        ['bloom', ['BloomForCausalLM', BloomForCausalLM]],
        ['gpt2', ['GPT2LMHeadModel', GPT2LMHeadModel]],
        ['gptj', ['GPTJForCausalLM', GPTJForCausalLM]],
        ['gpt_bigcode', ['GPTBigCodeForCausalLM', GPTBigCodeForCausalLM]],
        ['gpt_neo', ['GPTNeoForCausalLM', GPTNeoForCausalLM]],
        ['gpt_neox', ['GPTNeoXForCausalLM', GPTNeoXForCausalLM]],
        ['codegen', ['CodeGenForCausalLM', CodeGenForCausalLM]],
        ['llama', ['LlamaForCausalLM', LlamaForCausalLM]],
        ['qwen2', ['Qwen2ForCausalLM', Qwen2ForCausalLM]],
        ['phi', ['PhiForCausalLM', PhiForCausalLM]],
        ['mpt', ['MptForCausalLM', MptForCausalLM]],
        ['opt', ['OPTForCausalLM', OPTForCausalLM]],
        ['mbart', ['MBartForCausalLM', MBartForCausalLM]],
        ['mistral', ['MistralForCausalLM', MistralForCausalLM]],
        ['starcoder2', ['Starcoder2ForCausalLM', Starcoder2ForCausalLM]],
        ['falcon', ['FalconForCausalLM', FalconForCausalLM]],
        ['trocr', ['TrOCRForCausalLM', TrOCRForCausalLM]],
        ['stablelm', ['StableLmForCausalLM', StableLmForCausalLM]],
    ]),
    MODEL_FOR_MASKED_LM_MAPPING_NAMES = new Map([
        ['bert', ['BertForMaskedLM', BertForMaskedLM]],
        ['roformer', ['RoFormerForMaskedLM', RoFormerForMaskedLM]],
        ['electra', ['ElectraForMaskedLM', ElectraForMaskedLM]],
        ['esm', ['EsmForMaskedLM', EsmForMaskedLM]],
        ['convbert', ['ConvBertForMaskedLM', ConvBertForMaskedLM]],
        ['camembert', ['CamembertForMaskedLM', CamembertForMaskedLM]],
        ['deberta', ['DebertaForMaskedLM', DebertaForMaskedLM]],
        ['deberta-v2', ['DebertaV2ForMaskedLM', DebertaV2ForMaskedLM]],
        ['mpnet', ['MPNetForMaskedLM', MPNetForMaskedLM]],
        ['albert', ['AlbertForMaskedLM', AlbertForMaskedLM]],
        ['distilbert', ['DistilBertForMaskedLM', DistilBertForMaskedLM]],
        ['roberta', ['RobertaForMaskedLM', RobertaForMaskedLM]],
        ['xlm', ['XLMWithLMHeadModel', XLMWithLMHeadModel]],
        ['xlm-roberta', ['XLMRobertaForMaskedLM', XLMRobertaForMaskedLM]],
        ['mobilebert', ['MobileBertForMaskedLM', MobileBertForMaskedLM]],
        ['squeezebert', ['SqueezeBertForMaskedLM', SqueezeBertForMaskedLM]],
    ]),
    MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES = new Map([
        ['bert', ['BertForQuestionAnswering', BertForQuestionAnswering]],
        ['roformer', ['RoFormerForQuestionAnswering', RoFormerForQuestionAnswering]],
        ['electra', ['ElectraForQuestionAnswering', ElectraForQuestionAnswering]],
        ['convbert', ['ConvBertForQuestionAnswering', ConvBertForQuestionAnswering]],
        ['camembert', ['CamembertForQuestionAnswering', CamembertForQuestionAnswering]],
        ['deberta', ['DebertaForQuestionAnswering', DebertaForQuestionAnswering]],
        ['deberta-v2', ['DebertaV2ForQuestionAnswering', DebertaV2ForQuestionAnswering]],
        ['mpnet', ['MPNetForQuestionAnswering', MPNetForQuestionAnswering]],
        ['albert', ['AlbertForQuestionAnswering', AlbertForQuestionAnswering]],
        ['distilbert', ['DistilBertForQuestionAnswering', DistilBertForQuestionAnswering]],
        ['roberta', ['RobertaForQuestionAnswering', RobertaForQuestionAnswering]],
        ['xlm', ['XLMForQuestionAnswering', XLMForQuestionAnswering]],
        ['xlm-roberta', ['XLMRobertaForQuestionAnswering', XLMRobertaForQuestionAnswering]],
        ['mobilebert', ['MobileBertForQuestionAnswering', MobileBertForQuestionAnswering]],
        ['squeezebert', ['SqueezeBertForQuestionAnswering', SqueezeBertForQuestionAnswering]],
    ]),
    MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES = new Map([
        ['vision-encoder-decoder', ['VisionEncoderDecoderModel', VisionEncoderDecoderModel]],
    ]),
    MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES = new Map([
        ['vit', ['ViTForImageClassification', ViTForImageClassification]],
        ['mobilevit', ['MobileViTForImageClassification', MobileViTForImageClassification]],
        ['beit', ['BeitForImageClassification', BeitForImageClassification]],
        ['deit', ['DeiTForImageClassification', DeiTForImageClassification]],
        ['convnext', ['ConvNextForImageClassification', ConvNextForImageClassification]],
        ['convnextv2', ['ConvNextV2ForImageClassification', ConvNextV2ForImageClassification]],
        ['dinov2', ['Dinov2ForImageClassification', Dinov2ForImageClassification]],
        ['resnet', ['ResNetForImageClassification', ResNetForImageClassification]],
        ['swin', ['SwinForImageClassification', SwinForImageClassification]],
        ['segformer', ['SegformerForImageClassification', SegformerForImageClassification]],
    ]),
    MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES = new Map([
        ['detr', ['DetrForObjectDetection', DetrForObjectDetection]],
        ['table-transformer', ['TableTransformerForObjectDetection', TableTransformerForObjectDetection]],
        ['yolos', ['YolosForObjectDetection', YolosForObjectDetection]],
    ]),
    MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES = new Map([
        ['owlvit', ['OwlViTForObjectDetection', OwlViTForObjectDetection]],
        ['owlv2', ['Owlv2ForObjectDetection', Owlv2ForObjectDetection]],
    ]),
    MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES = new Map([
        ['detr', ['DetrForSegmentation', DetrForSegmentation]],
        ['clipseg', ['CLIPSegForImageSegmentation', CLIPSegForImageSegmentation]],
    ]),
    MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES = new Map([
        ['segformer', ['SegformerForSemanticSegmentation', SegformerForSemanticSegmentation]],
    ]),
    MODEL_FOR_MASK_GENERATION_MAPPING_NAMES = new Map([['sam', ['SamModel', SamModel]]]),
    MODEL_FOR_CTC_MAPPING_NAMES = new Map([
        ['wav2vec2', ['Wav2Vec2ForCTC', Wav2Vec2ForCTC]],
        ['wav2vec2-bert', ['Wav2Vec2BertForCTC', Wav2Vec2BertForCTC]],
        ['unispeech', ['UniSpeechForCTC', UniSpeechForCTC]],
        ['unispeech-sat', ['UniSpeechSatForCTC', UniSpeechSatForCTC]],
        ['wavlm', ['WavLMForCTC', WavLMForCTC]],
        ['hubert', ['HubertForCTC', HubertForCTC]],
    ]),
    MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES = new Map([
        ['wav2vec2', ['Wav2Vec2ForSequenceClassification', Wav2Vec2ForSequenceClassification]],
        ['wav2vec2-bert', ['Wav2Vec2BertForSequenceClassification', Wav2Vec2BertForSequenceClassification]],
        ['unispeech', ['UniSpeechForSequenceClassification', UniSpeechForSequenceClassification]],
        ['unispeech-sat', ['UniSpeechSatForSequenceClassification', UniSpeechSatForSequenceClassification]],
        ['wavlm', ['WavLMForSequenceClassification', WavLMForSequenceClassification]],
        ['hubert', ['HubertForSequenceClassification', HubertForSequenceClassification]],
        ['audio-spectrogram-transformer', ['ASTForAudioClassification', ASTForAudioClassification]],
    ]),
    MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES = new Map([['wavlm', ['WavLMForXVector', WavLMForXVector]]]),
    MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES = new Map([
        ['unispeech-sat', ['UniSpeechSatForAudioFrameClassification', UniSpeechSatForAudioFrameClassification]],
        ['wavlm', ['WavLMForAudioFrameClassification', WavLMForAudioFrameClassification]],
        ['wav2vec2', ['Wav2Vec2ForAudioFrameClassification', Wav2Vec2ForAudioFrameClassification]],
    ]),
    MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES = new Map([
        ['vitmatte', ['VitMatteForImageMatting', VitMatteForImageMatting]],
    ]),
    MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES = new Map([
        ['swin2sr', ['Swin2SRForImageSuperResolution', Swin2SRForImageSuperResolution]],
    ]),
    MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES = new Map([
        ['dpt', ['DPTForDepthEstimation', DPTForDepthEstimation]],
        ['depth_anything', ['DepthAnythingForDepthEstimation', DepthAnythingForDepthEstimation]],
        ['glpn', ['GLPNForDepthEstimation', GLPNForDepthEstimation]],
    ]),
    MODEL_CLASS_TYPE_MAPPING = [
        [MODEL_MAPPING_NAMES_ENCODER_ONLY, MODEL_TYPES.EncoderOnly],
        [MODEL_MAPPING_NAMES_ENCODER_DECODER, MODEL_TYPES.EncoderDecoder],
        [MODEL_MAPPING_NAMES_DECODER_ONLY, MODEL_TYPES.DecoderOnly],
        [MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],
        [MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],
        [MODEL_WITH_LM_HEAD_MAPPING_NAMES, MODEL_TYPES.DecoderOnly],
        [MODEL_FOR_MASKED_LM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Vision2Seq],
        [MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_MASK_GENERATION_MAPPING_NAMES, MODEL_TYPES.MaskGeneration],
        [MODEL_FOR_CTC_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],
        [MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
        [MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
    ];
for (const [t, e] of MODEL_CLASS_TYPE_MAPPING)
    for (const [o, i] of t.values())
        MODEL_TYPE_MAPPING.set(o, e), MODEL_CLASS_TO_NAME_MAPPING.set(i, o), MODEL_NAME_TO_CLASS_MAPPING.set(o, i);
const CUSTOM_MAPPING = [
    ['CLIPTextModelWithProjection', CLIPTextModelWithProjection, MODEL_TYPES.EncoderOnly],
    ['CLIPVisionModelWithProjection', CLIPVisionModelWithProjection, MODEL_TYPES.EncoderOnly],
    ['SiglipTextModel', SiglipTextModel, MODEL_TYPES.EncoderOnly],
    ['SiglipVisionModel', SiglipVisionModel, MODEL_TYPES.EncoderOnly],
    ['ClapTextModelWithProjection', ClapTextModelWithProjection, MODEL_TYPES.EncoderOnly],
    ['ClapAudioModelWithProjection', ClapAudioModelWithProjection, MODEL_TYPES.EncoderOnly],
];
for (const [t, e, o] of CUSTOM_MAPPING)
    MODEL_TYPE_MAPPING.set(t, o), MODEL_CLASS_TO_NAME_MAPPING.set(e, t), MODEL_NAME_TO_CLASS_MAPPING.set(t, e);
class AutoModel extends PretrainedMixin {
    static MODEL_CLASS_MAPPINGS = MODEL_CLASS_TYPE_MAPPING.map((e) => e[0]);
    static BASE_IF_FAIL = !0;
}
class Seq2SeqLMOutput extends ModelOutput {
    constructor({
        logits: e,
        past_key_values: o,
        encoder_outputs: i,
        decoder_attentions: u = null,
        cross_attentions: n = null,
    }) {
        super(),
            (this.logits = e),
            (this.past_key_values = o),
            (this.encoder_outputs = i),
            (this.decoder_attentions = u),
            (this.cross_attentions = n);
    }
}
class SequenceClassifierOutput extends ModelOutput {
    constructor({ logits: e }) {
        super(), (this.logits = e);
    }
}
class XVectorOutput extends ModelOutput {
    constructor({ logits: e, embeddings: o }) {
        super(), (this.logits = e), (this.embeddings = o);
    }
}
class TokenClassifierOutput extends ModelOutput {
    constructor({ logits: e }) {
        super(), (this.logits = e);
    }
}
class MaskedLMOutput extends ModelOutput {
    constructor({ logits: e }) {
        super(), (this.logits = e);
    }
}
class QuestionAnsweringModelOutput extends ModelOutput {
    constructor({ start_logits: e, end_logits: o }) {
        super(), (this.start_logits = e), (this.end_logits = o);
    }
}
class CausalLMOutput extends ModelOutput {
    constructor({ logits: e }) {
        super(), (this.logits = e);
    }
}
class ImageMattingOutput extends ModelOutput {
    constructor({ alphas: e }) {
        super(), (this.alphas = e);
    }
}
class VitsModelOutput extends ModelOutput {
    constructor({ waveform: e, spectrogram: o }) {
        super(), (this.waveform = e), (this.spectrogram = o);
    }
}
const BROWSER_ENV = typeof self < 'u',
    WEBWORKER_ENV = BROWSER_ENV && self.constructor.name === 'DedicatedWorkerGlobalScope';
let createCanvasFunction, ImageDataClass, loadImageFunction;
if (BROWSER_ENV)
    (createCanvasFunction = (t, e) => {
        if (!self.OffscreenCanvas) throw new Error('OffscreenCanvas not supported by this browser.');
        return new self.OffscreenCanvas(t, e);
    }),
        (loadImageFunction = self.createImageBitmap),
        (ImageDataClass = self.ImageData);
else if (sharp)
    loadImageFunction = async (t) => {
        const o = (await t.metadata()).channels,
            { data: i, info: u } = await t.raw().toBuffer({ resolveWithObject: !0 }),
            n = new RawImage(new Uint8ClampedArray(i), u.width, u.height, u.channels);
        return o !== void 0 && o !== u.channels && n.convert(o), n;
    };
else throw new Error('Unable to load image processing library.');
const RESAMPLING_MAPPING = { 0: 'nearest', 1: 'lanczos', 2: 'bilinear', 3: 'bicubic', 4: 'box', 5: 'hamming' },
    CONTENT_TYPE_MAP = new Map([
        ['png', 'image/png'],
        ['jpg', 'image/jpeg'],
        ['jpeg', 'image/jpeg'],
        ['gif', 'image/gif'],
    ]);
class RawImage {
    constructor(e, o, i, u) {
        (this.data = e), (this.width = o), (this.height = i), (this.channels = u);
    }
    get size() {
        return [this.width, this.height];
    }
    static async read(e) {
        if (e instanceof RawImage) return e;
        if (typeof e == 'string' || e instanceof URL) return await this.fromURL(e);
        throw new Error(`Unsupported input type: ${typeof e}`);
    }
    static async fromURL(e) {
        const o = await getFile(e);
        if (o.status !== 200) throw new Error(`Unable to read image from "${e}" (${o.status} ${o.statusText})`);
        const i = await o.blob();
        return this.fromBlob(i);
    }
    static async fromBlob(e) {
        if (BROWSER_ENV) {
            const o = await loadImageFunction(e),
                i = createCanvasFunction(o.width, o.height).getContext('2d');
            return i.drawImage(o, 0, 0), new this(i.getImageData(0, 0, o.width, o.height).data, o.width, o.height, 4);
        } else {
            const o = sharp(await e.arrayBuffer());
            return await loadImageFunction(o);
        }
    }
    static fromTensor(e, o = 'CHW') {
        if (e.dims.length !== 3)
            throw new Error(`Tensor should have 3 dimensions, but has ${e.dims.length} dimensions.`);
        if (o === 'CHW') e = e.transpose(1, 2, 0);
        else if (o !== 'HWC') throw new Error(`Unsupported channel format: ${o}`);
        if (!(e.data instanceof Uint8ClampedArray || e.data instanceof Uint8Array))
            throw new Error(`Unsupported tensor type: ${e.type}`);
        switch (e.dims[2]) {
            case 1:
            case 2:
            case 3:
            case 4:
                return new RawImage(e.data, e.dims[1], e.dims[0], e.dims[2]);
            default:
                throw new Error(`Unsupported number of channels: ${e.dims[2]}`);
        }
    }
    grayscale() {
        if (this.channels === 1) return this;
        const e = new Uint8ClampedArray(this.width * this.height * 1);
        switch (this.channels) {
            case 3:
            case 4:
                for (let o = 0, i = 0; o < this.data.length; o += this.channels) {
                    const u = this.data[o],
                        n = this.data[o + 1],
                        s = this.data[o + 2];
                    e[i++] = Math.round(0.2989 * u + 0.587 * n + 0.114 * s);
                }
                break;
            default:
                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);
        }
        return this._update(e, this.width, this.height, 1);
    }
    rgb() {
        if (this.channels === 3) return this;
        const e = new Uint8ClampedArray(this.width * this.height * 3);
        switch (this.channels) {
            case 1:
                for (let o = 0, i = 0; o < this.data.length; ++o)
                    (e[i++] = this.data[o]), (e[i++] = this.data[o]), (e[i++] = this.data[o]);
                break;
            case 4:
                for (let o = 0, i = 0; o < this.data.length; o += 4)
                    (e[i++] = this.data[o]), (e[i++] = this.data[o + 1]), (e[i++] = this.data[o + 2]);
                break;
            default:
                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);
        }
        return this._update(e, this.width, this.height, 3);
    }
    rgba() {
        if (this.channels === 4) return this;
        const e = new Uint8ClampedArray(this.width * this.height * 4);
        switch (this.channels) {
            case 1:
                for (let o = 0, i = 0; o < this.data.length; ++o)
                    (e[i++] = this.data[o]), (e[i++] = this.data[o]), (e[i++] = this.data[o]), (e[i++] = 255);
                break;
            case 3:
                for (let o = 0, i = 0; o < this.data.length; o += 3)
                    (e[i++] = this.data[o]), (e[i++] = this.data[o + 1]), (e[i++] = this.data[o + 2]), (e[i++] = 255);
                break;
            default:
                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);
        }
        return this._update(e, this.width, this.height, 4);
    }
    async resize(e, o, { resample: i = 2 } = {}) {
        let u = RESAMPLING_MAPPING[i] ?? i;
        if (BROWSER_ENV) {
            const n = this.channels,
                s = this.toCanvas(),
                d = createCanvasFunction(e, o).getContext('2d');
            return d.drawImage(s, 0, 0, e, o), new RawImage(d.getImageData(0, 0, e, o).data, e, o, 4).convert(n);
        } else {
            let n = this.toSharp();
            switch (u) {
                case 'box':
                case 'hamming':
                    (u === 'box' || u === 'hamming') &&
                        (console.warn(`Resampling method ${u} is not yet supported. Using bilinear instead.`),
                        (u = 'bilinear'));
                case 'nearest':
                case 'bilinear':
                case 'bicubic':
                    n = n.affine([e / this.width, 0, 0, o / this.height], { interpolator: u });
                    break;
                case 'lanczos':
                    n = n.resize({ width: e, height: o, fit: 'fill', kernel: 'lanczos3' });
                    break;
                default:
                    throw new Error(`Resampling method ${u} is not supported.`);
            }
            return await loadImageFunction(n);
        }
    }
    async pad([e, o, i, u]) {
        if (
            ((e = Math.max(e, 0)),
            (o = Math.max(o, 0)),
            (i = Math.max(i, 0)),
            (u = Math.max(u, 0)),
            e === 0 && o === 0 && i === 0 && u === 0)
        )
            return this;
        if (BROWSER_ENV) {
            const n = this.channels,
                s = this.toCanvas(),
                d = this.width + e + o,
                f = this.height + i + u,
                r = createCanvasFunction(d, f).getContext('2d');
            return (
                r.drawImage(s, 0, 0, this.width, this.height, e, i, d, f),
                new RawImage(r.getImageData(0, 0, d, f).data, d, f, 4).convert(n)
            );
        } else {
            const n = this.toSharp().extend({ left: e, right: o, top: i, bottom: u });
            return await loadImageFunction(n);
        }
    }
    async crop([e, o, i, u]) {
        if (
            ((e = Math.max(e, 0)),
            (o = Math.max(o, 0)),
            (i = Math.min(i, this.width - 1)),
            (u = Math.min(u, this.height - 1)),
            e === 0 && o === 0 && i === this.width - 1 && u === this.height - 1)
        )
            return this;
        const n = i - e + 1,
            s = u - o + 1;
        if (BROWSER_ENV) {
            const d = this.channels,
                f = this.toCanvas(),
                r = createCanvasFunction(n, s).getContext('2d');
            return (
                r.drawImage(f, e, o, n, s, 0, 0, n, s),
                new RawImage(r.getImageData(0, 0, n, s).data, n, s, 4).convert(d)
            );
        } else {
            const d = this.toSharp().extract({ left: e, top: o, width: n, height: s });
            return await loadImageFunction(d);
        }
    }
    async center_crop(e, o) {
        if (this.width === e && this.height === o) return this;
        const i = (this.width - e) / 2,
            u = (this.height - o) / 2;
        if (BROWSER_ENV) {
            const n = this.channels,
                s = this.toCanvas(),
                d = createCanvasFunction(e, o).getContext('2d');
            let f = 0,
                r = 0,
                a = 0,
                l = 0;
            return (
                i >= 0 ? (f = i) : (a = -i),
                u >= 0 ? (r = u) : (l = -u),
                d.drawImage(s, f, r, e, o, a, l, e, o),
                new RawImage(d.getImageData(0, 0, e, o).data, e, o, 4).convert(n)
            );
        } else {
            let n = this.toSharp();
            if (i >= 0 && u >= 0) n = n.extract({ left: Math.floor(i), top: Math.floor(u), width: e, height: o });
            else if (i <= 0 && u <= 0) {
                const s = Math.floor(-u),
                    d = Math.floor(-i);
                n = n.extend({ top: s, left: d, right: e - this.width - d, bottom: o - this.height - s });
            } else {
                let s = [0, 0],
                    d = 0;
                u < 0 ? ((s[0] = Math.floor(-u)), (s[1] = o - this.height - s[0])) : (d = Math.floor(u));
                let f = [0, 0],
                    r = 0;
                i < 0 ? ((f[0] = Math.floor(-i)), (f[1] = e - this.width - f[0])) : (r = Math.floor(i)),
                    (n = n
                        .extend({ top: s[0], bottom: s[1], left: f[0], right: f[1] })
                        .extract({ left: r, top: d, width: e, height: o }));
            }
            return await loadImageFunction(n);
        }
    }
    async toBlob(e = 'image/png', o = 1) {
        if (!BROWSER_ENV) throw new Error('toBlob() is only supported in browser environments.');
        return await this.toCanvas().convertToBlob({ type: e, quality: o });
    }
    toCanvas() {
        if (!BROWSER_ENV) throw new Error('toCanvas() is only supported in browser environments.');
        const e = this.clone().rgba(),
            o = createCanvasFunction(e.width, e.height),
            i = new ImageDataClass(e.data, e.width, e.height);
        return o.getContext('2d').putImageData(i, 0, 0), o;
    }
    _update(e, o, i, u = null) {
        return (this.data = e), (this.width = o), (this.height = i), u !== null && (this.channels = u), this;
    }
    clone() {
        return new RawImage(this.data.slice(), this.width, this.height, this.channels);
    }
    convert(e) {
        if (this.channels === e) return this;
        switch (e) {
            case 1:
                this.grayscale();
                break;
            case 3:
                this.rgb();
                break;
            case 4:
                this.rgba();
                break;
            default:
                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);
        }
        return this;
    }
    async save(e) {
        if (BROWSER_ENV) {
            if (WEBWORKER_ENV) throw new Error('Unable to save an image from a Web Worker.');
            const o = e.split('.').pop().toLowerCase(),
                i = CONTENT_TYPE_MAP.get(o) ?? 'image/png',
                u = await this.toBlob(i),
                n = URL.createObjectURL(u),
                s = document.createElement('a');
            (s.href = n), (s.download = e), s.click(), s.remove();
        } else {
            if (env.useFS) return await this.toSharp().toFile(e);
            throw new Error('Unable to save the image because filesystem is disabled in this environment.');
        }
    }
    toSharp() {
        if (BROWSER_ENV) throw new Error('toSharp() is only supported in server-side environments.');
        return sharp(this.data, { raw: { width: this.width, height: this.height, channels: this.channels } });
    }
}
function hanning(t) {
    if (t < 1) return new Float64Array();
    if (t === 1) return new Float64Array([1]);
    const e = t - 1,
        o = Math.PI / e,
        i = new Float64Array(t);
    for (let u = 0; u < t; ++u) {
        const n = 2 * u - e;
        i[u] = 0.5 + 0.5 * Math.cos(o * n);
    }
    return i;
}
const HERTZ_TO_MEL_MAPPING = {
    htk: (t) => 2595 * Math.log10(1 + t / 700),
    kaldi: (t) => 1127 * Math.log(1 + t / 700),
    slaney: (t, e = 1e3, o = 15, i = 27 / Math.log(6.4)) => (t >= e ? o + Math.log(t / e) * i : (3 * t) / 200),
};
function hertz_to_mel(t, e = 'htk') {
    const o = HERTZ_TO_MEL_MAPPING[e];
    if (!o) throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');
    return typeof t == 'number' ? o(t) : t.map((i) => o(i));
}
const MEL_TO_HERTZ_MAPPING = {
    htk: (t) => 700 * (10 ** (t / 2595) - 1),
    kaldi: (t) => 700 * (Math.exp(t / 1127) - 1),
    slaney: (t, e = 1e3, o = 15, i = Math.log(6.4) / 27) => (t >= o ? e * Math.exp(i * (t - o)) : (200 * t) / 3),
};
function mel_to_hertz(t, e = 'htk') {
    const o = MEL_TO_HERTZ_MAPPING[e];
    if (!o) throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');
    return typeof t == 'number' ? o(t) : t.map((i) => o(i));
}
function _create_triangular_filter_bank(t, e) {
    const o = Float64Array.from({ length: e.length - 1 }, (s, d) => e[d + 1] - e[d]),
        i = Array.from({ length: t.length }, () => new Array(e.length));
    for (let s = 0; s < t.length; ++s) {
        const d = i[s];
        for (let f = 0; f < e.length; ++f) d[f] = e[f] - t[s];
    }
    const u = e.length - 2,
        n = Array.from({ length: u }, () => new Array(t.length));
    for (let s = 0; s < t.length; ++s) {
        const d = i[s];
        for (let f = 0; f < u; ++f) {
            const r = -d[f] / o[f],
                a = d[f + 2] / o[f + 1];
            n[f][s] = Math.max(0, Math.min(r, a));
        }
    }
    return n;
}
function linspace(t, e, o) {
    const i = (e - t) / (o - 1);
    return Float64Array.from({ length: o }, (u, n) => t + i * n);
}
function mel_filter_bank(t, e, o, i, u, n = null, s = 'htk', d = !1) {
    if (n !== null && n !== 'slaney') throw new Error('norm must be one of null or "slaney"');
    const f = hertz_to_mel(o, s),
        r = hertz_to_mel(i, s),
        a = linspace(f, r, e + 2);
    let l = mel_to_hertz(a, s),
        p;
    if (d) {
        const y = u / (t * 2);
        (p = hertz_to_mel(
            Float64Array.from({ length: t }, (T, v) => v * y),
            s
        )),
            (l = a);
    } else p = linspace(0, Math.floor(u / 2), t);
    const m = _create_triangular_filter_bank(p, l);
    if (n !== null && n === 'slaney')
        for (let y = 0; y < e; ++y) {
            const T = m[y],
                v = 2 / (l[y + 2] - l[y]);
            for (let S = 0; S < t; ++S) T[S] *= v;
        }
    return m;
}
function padReflect(t, e, o) {
    const i = new t.constructor(t.length + e + o),
        u = t.length - 1;
    for (let n = 0; n < t.length; ++n) i[e + n] = t[n];
    for (let n = 1; n <= e; ++n) i[e - n] = t[calculateReflectOffset(n, u)];
    for (let n = 1; n <= o; ++n) i[u + e + n] = t[calculateReflectOffset(u - n, u)];
    return i;
}
function _db_conversion_helper(t, e, o, i, u) {
    if (o <= 0) throw new Error('reference must be greater than zero');
    if (i <= 0) throw new Error('min_value must be greater than zero');
    o = Math.max(i, o);
    const n = Math.log10(o);
    for (let s = 0; s < t.length; ++s) t[s] = e * Math.log10(Math.max(i, t[s]) - n);
    if (u !== null) {
        if (u <= 0) throw new Error('db_range must be greater than zero');
        const s = max(t)[0] - u;
        for (let d = 0; d < t.length; ++d) t[d] = Math.max(t[d], s);
    }
    return t;
}
function amplitude_to_db(t, e = 1, o = 1e-5, i = null) {
    return _db_conversion_helper(t, 20, e, o, i);
}
function power_to_db(t, e = 1, o = 1e-10, i = null) {
    return _db_conversion_helper(t, 10, e, o, i);
}
function spectrogram(
    t,
    e,
    o,
    i,
    {
        fft_length: u = null,
        power: n = 1,
        center: s = !0,
        pad_mode: d = 'reflect',
        onesided: f = !0,
        preemphasis: r = null,
        mel_filters: a = null,
        mel_floor: l = 1e-10,
        log_mel: p = null,
        reference: m = 1,
        min_value: y = 1e-10,
        db_range: T = null,
        remove_dc_offset: v = null,
        max_num_frames: S = null,
        do_pad: E = !0,
        transpose: A = !1,
    } = {}
) {
    const F = e.length;
    if ((u === null && (u = o), o > u)) throw Error(`frame_length (${o}) may not be larger than fft_length (${u})`);
    if (F !== o) throw new Error(`Length of the window (${F}) must equal frame_length (${o})`);
    if (i <= 0) throw new Error('hop_length must be greater than zero');
    if (s) {
        if (d !== 'reflect') throw new Error(`pad_mode="${d}" not implemented yet.`);
        const he = Math.floor((u - 1) / 2) + 1;
        t = padReflect(t, he, he);
    }
    const B = Math.floor(1 + Math.floor((t.length - o) / i)),
        J = f ? Math.floor(u / 2) + 1 : u;
    let Q = B,
        re = B;
    S !== null && (S > B ? E && (re = S) : (re = Q = S));
    const V = new FFT(u),
        de = new Float64Array(u),
        ke = new Float64Array(V.outputBufferSize),
        Ne = new Array(Q);
    for (let he = 0; he < Q; ++he) {
        const ue = he * i;
        for (let X = 0; X < o; ++X) de[X] = t[ue + X];
        if (v) {
            let X = 0;
            for (let we = 0; we < o; ++we) X += de[we];
            const ve = X / o;
            for (let we = 0; we < o; ++we) de[we] -= ve;
        }
        if (r !== null) {
            for (let X = o - 1; X >= 1; --X) de[X] -= r * de[X - 1];
            de[0] *= 1 - r;
        }
        for (let X = 0; X < e.length; ++X) de[X] *= e[X];
        V.realTransform(ke, de);
        const pe = new Array(J);
        for (let X = 0; X < pe.length; ++X) {
            const ve = X << 1;
            pe[X] = ke[ve] ** 2 + ke[ve + 1] ** 2;
        }
        Ne[he] = pe;
    }
    if (n !== null && n !== 2) {
        const he = 2 / n;
        for (let ue = 0; ue < Ne.length; ++ue) {
            const pe = Ne[ue];
            for (let X = 0; X < pe.length; ++X) pe[X] **= he;
        }
    }
    const Me = a.length,
        Y = new Float32Array(Me * re),
        _e = A ? [re, Me] : [Me, re];
    for (let he = 0; he < Me; ++he) {
        const ue = a[he];
        for (let pe = 0; pe < Q; ++pe) {
            const X = Ne[pe];
            let ve = 0;
            for (let we = 0; we < J; ++we) ve += ue[we] * X[we];
            Y[A ? pe * Me + he : he * Q + pe] = Math.max(l, ve);
        }
    }
    if (n !== null && p !== null) {
        const he = Math.min(Y.length, Q * Me);
        switch (p) {
            case 'log':
                for (let ue = 0; ue < he; ++ue) Y[ue] = Math.log(Y[ue]);
                break;
            case 'log10':
                for (let ue = 0; ue < he; ++ue) Y[ue] = Math.log10(Y[ue]);
                break;
            case 'dB':
                if (n === 1) amplitude_to_db(Y, m, y, T);
                else if (n === 2) power_to_db(Y, m, y, T);
                else throw new Error(`Cannot use log_mel option '${p}' with power ${n}`);
                break;
            default:
                throw new Error(`log_mel must be one of null, 'log', 'log10' or 'dB'. Got '${p}'`);
        }
    }
    return { data: Y, dims: _e };
}
function window_function(t, e, { periodic: o = !0, frame_length: i = null, center: u = !0 } = {}) {
    const n = o ? t + 1 : t;
    let s;
    switch (e) {
        case 'boxcar':
            s = new Float64Array(n).fill(1);
            break;
        case 'hann':
        case 'hann_window':
            s = hanning(n);
            break;
        case 'povey':
            s = hanning(n).map((d) => Math.pow(d, 0.85));
            break;
        default:
            throw new Error(`Unknown window type ${e}.`);
    }
    if ((o && (s = s.subarray(0, t)), i === null)) return s;
    if (t > i) throw new Error(`Length of the window (${t}) may not be larger than frame_length (${i})`);
    return s;
}
function center_to_corners_format([t, e, o, i]) {
    return [t - o / 2, e - i / 2, t + o / 2, e + i / 2];
}
function post_process_object_detection(t, e = 0.5, o = null, i = !1) {
    const u = t.logits,
        n = t.pred_boxes,
        [s, d, f] = u.dims;
    if (o !== null && o.length !== s)
        throw Error('Make sure that you pass in as many target sizes as the batch dimension of the logits');
    let r = [];
    for (let a = 0; a < s; ++a) {
        let l = o !== null ? o[a] : null,
            p = { boxes: [], classes: [], scores: [] },
            m = u[a],
            y = n[a];
        for (let T = 0; T < d; ++T) {
            let v = m[T],
                S = [],
                E;
            if (i) {
                E = v.sigmoid().data;
                for (let A = 0; A < E.length; ++A) E[A] > e && S.push(A);
            } else {
                let A = max(v.data)[1];
                if (A === f - 1) continue;
                S.push(A), (E = softmax(v.data));
            }
            for (const A of S) {
                let F = y[T].data;
                (F = center_to_corners_format(F)),
                    l !== null && (F = F.map((B, J) => B * l[(J + 1) % 2])),
                    p.boxes.push(F),
                    p.classes.push(A),
                    p.scores.push(E[A]);
            }
        }
        r.push(p);
    }
    return r;
}
function validate_audio_inputs(t, e) {
    if (!(t instanceof Float32Array || t instanceof Float64Array))
        throw new Error(
            `${e} expects input to be a Float32Array or a Float64Array, but got ${
                t?.constructor?.name ?? typeof t
            } instead. If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`
        );
}
function constraint_to_multiple_of(t, e, o = 0, i = null) {
    let u = Math.round(t / e) * e;
    return i !== null && u > i && (u = Math.floor(t / e) * e), u < o && (u = Math.ceil(t / e) * e), u;
}
function enforce_size_divisibility([t, e], o) {
    return [Math.floor(t / o) * o, Math.floor(e / o) * o];
}
class FeatureExtractor extends Callable {
    constructor(e) {
        super(), (this.config = e);
    }
}
class ImageFeatureExtractor extends FeatureExtractor {
    constructor(e) {
        super(e),
            (this.image_mean = this.config.image_mean ?? this.config.mean),
            (this.image_std = this.config.image_std ?? this.config.std),
            (this.resample = this.config.resample ?? 2),
            (this.do_rescale = this.config.do_rescale ?? !0),
            (this.rescale_factor = this.config.rescale_factor ?? 1 / 255),
            (this.do_normalize = this.config.do_normalize),
            (this.do_resize = this.config.do_resize),
            (this.do_thumbnail = this.config.do_thumbnail),
            (this.size = this.config.size),
            (this.size_divisibility = this.config.size_divisibility ?? this.config.size_divisor),
            (this.do_center_crop = this.config.do_center_crop),
            (this.crop_size = this.config.crop_size),
            (this.do_convert_rgb = this.config.do_convert_rgb ?? !0),
            (this.do_crop_margin = this.config.do_crop_margin),
            (this.pad_size = this.config.pad_size),
            (this.do_pad = this.config.do_pad),
            this.do_pad &&
                !this.pad_size &&
                this.size &&
                this.size.width !== void 0 &&
                this.size.height !== void 0 &&
                (this.pad_size = this.size);
    }
    async thumbnail(e, o, i = 2) {
        const u = e.height,
            n = e.width,
            s = o.height,
            d = o.width;
        let f = Math.min(u, s),
            r = Math.min(n, d);
        return f === u && r === n
            ? e
            : (u > n ? (r = Math.floor((n * f) / u)) : n > u && (f = Math.floor((u * r) / n)),
              await e.resize(r, f, { resample: i }));
    }
    async crop_margin(e, o = 200) {
        const i = e.clone().grayscale(),
            u = min(i.data)[0],
            s = max(i.data)[0] - u;
        if (s === 0) return e;
        const d = o / 255;
        let f = i.width,
            r = i.height,
            a = 0,
            l = 0;
        for (let p = 0; p < i.height; ++p) {
            const m = p * i.width;
            for (let y = 0; y < i.width; ++y)
                (i.data[m + y] - u) / s < d &&
                    ((f = Math.min(f, y)), (r = Math.min(r, p)), (a = Math.max(a, y)), (l = Math.max(l, p)));
        }
        return (e = await e.crop([f, r, a, l])), e;
    }
    pad_image(e, o, i, { mode: u = 'constant', center: n = !1, constant_values: s = 0 } = {}) {
        const [d, f, r] = o;
        let a, l;
        if ((typeof i == 'number' ? ((a = i), (l = i)) : ((a = i.width), (l = i.height)), a !== d || l !== f)) {
            const p = new Float32Array(a * l * r);
            if (Array.isArray(s)) for (let T = 0; T < p.length; ++T) p[T] = s[T % r];
            else s !== 0 && p.fill(s);
            const [m, y] = n ? [Math.floor((a - d) / 2), Math.floor((l - f) / 2)] : [0, 0];
            for (let T = 0; T < f; ++T) {
                const v = (T + y) * a,
                    S = T * d;
                for (let E = 0; E < d; ++E) {
                    const A = (v + E + m) * r,
                        F = (S + E) * r;
                    for (let B = 0; B < r; ++B) p[A + B] = e[F + B];
                }
            }
            if (u === 'symmetric') {
                if (n) throw new Error('`center` padding is not supported when `mode` is set to `symmetric`.');
                const T = f - 1,
                    v = d - 1;
                for (let S = 0; S < l; ++S) {
                    const E = S * a,
                        A = calculateReflectOffset(S, T) * d;
                    for (let F = 0; F < a; ++F) {
                        if (S < f && F < d) continue;
                        const B = (E + F) * r,
                            J = (A + calculateReflectOffset(F, v)) * r;
                        for (let Q = 0; Q < r; ++Q) p[B + Q] = e[J + Q];
                    }
                }
            }
            (e = p), (o = [l, a, r]);
        }
        return [e, o];
    }
    rescale(e) {
        for (let o = 0; o < e.length; ++o) e[o] = this.rescale_factor * e[o];
    }
    get_resize_output_image_size(e, o) {
        const [i, u] = e.size;
        let n, s;
        if (this.do_thumbnail) {
            const { height: d, width: f } = o;
            n = Math.min(d, f);
        } else
            Number.isInteger(o)
                ? ((n = o), (s = this.config.max_size ?? n))
                : o !== void 0 && ((n = o.shortest_edge), (s = o.longest_edge));
        if (n !== void 0 || s !== void 0) {
            const d = n === void 0 ? 1 : Math.max(n / i, n / u),
                f = i * d,
                r = u * d,
                a = s === void 0 ? 1 : Math.min(s / f, s / r);
            let l = Math.floor(Number((f * a).toFixed(2))),
                p = Math.floor(Number((r * a).toFixed(2)));
            return (
                this.size_divisibility !== void 0 &&
                    ([l, p] = enforce_size_divisibility([l, p], this.size_divisibility)),
                [l, p]
            );
        } else if (o !== void 0 && o.width !== void 0 && o.height !== void 0) {
            let d = o.width,
                f = o.height;
            if (this.config.keep_aspect_ratio && this.config.ensure_multiple_of) {
                let r = o.height / u,
                    a = o.width / i;
                Math.abs(1 - a) < Math.abs(1 - r) ? (r = a) : (a = r),
                    (f = constraint_to_multiple_of(r * u, this.config.ensure_multiple_of)),
                    (d = constraint_to_multiple_of(a * i, this.config.ensure_multiple_of));
            }
            return [d, f];
        } else {
            if (this.size_divisibility !== void 0) return enforce_size_divisibility([i, u], this.size_divisibility);
            throw new Error(
                `Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(o)}`
            );
        }
    }
    async resize(e) {
        const [o, i] = this.get_resize_output_image_size(e, this.size);
        return await e.resize(o, i, { resample: this.resample });
    }
    async preprocess(
        e,
        { do_normalize: o = null, do_pad: i = null, do_convert_rgb: u = null, do_convert_grayscale: n = null } = {}
    ) {
        this.do_crop_margin && (e = await this.crop_margin(e));
        const [s, d] = e.size;
        if (
            (u ?? this.do_convert_rgb ? (e = e.rgb()) : n && (e = e.grayscale()),
            this.do_resize && (e = await this.resize(e)),
            this.do_thumbnail && (e = await this.thumbnail(e, this.size, this.resample)),
            this.do_center_crop)
        ) {
            let m, y;
            Number.isInteger(this.crop_size)
                ? ((m = this.crop_size), (y = this.crop_size))
                : ((m = this.crop_size.width), (y = this.crop_size.height)),
                (e = await e.center_crop(m, y));
        }
        const f = [e.height, e.width];
        let r = Float32Array.from(e.data),
            a = [e.height, e.width, e.channels];
        if ((this.do_rescale && this.rescale(r), o ?? this.do_normalize)) {
            let m = this.image_mean;
            Array.isArray(this.image_mean) || (m = new Array(e.channels).fill(m));
            let y = this.image_std;
            if (
                (Array.isArray(this.image_std) || (y = new Array(e.channels).fill(m)),
                m.length !== e.channels || y.length !== e.channels)
            )
                throw new Error(
                    `When set to arrays, the length of \`image_mean\` (${m.length}) and \`image_std\` (${y.length}) must match the number of channels in the image (${e.channels}).`
                );
            for (let T = 0; T < r.length; T += e.channels)
                for (let v = 0; v < e.channels; ++v) r[T + v] = (r[T + v] - this.image_mean[v]) / this.image_std[v];
        }
        if (this.do_pad && this.pad_size) {
            const m = new Float32Array(this.pad_size.width * this.pad_size.height * e.channels);
            for (let y = 0; y < e.height; ++y) {
                const T = y * this.pad_size.width,
                    v = y * e.width;
                for (let S = 0; S < e.width; ++S) {
                    const E = (T + S) * e.channels,
                        A = (v + S) * e.channels;
                    for (let F = 0; F < e.channels; ++F) m[E + F] = r[A + F];
                }
            }
            (r = m), (a = [this.pad_size.height, this.pad_size.width, e.channels]);
        }
        const l = new Tensor('float32', r, a),
            p = transpose(l, [2, 0, 1]);
        return { original_size: [d, s], reshaped_input_size: f, pixel_values: p };
    }
    async _call(e, ...o) {
        Array.isArray(e) || (e = [e]);
        const i = await Promise.all(e.map((n) => this.preprocess(n)));
        return {
            pixel_values: stack(
                i.map((n) => n.pixel_values),
                0
            ),
            original_sizes: i.map((n) => n.original_size),
            reshaped_input_sizes: i.map((n) => n.reshaped_input_size),
        };
    }
}
class SegformerFeatureExtractor extends ImageFeatureExtractor {
    post_process_semantic_segmentation(e, o = null) {
        const i = e.logits,
            u = i.dims[0];
        if (o !== null && o.length !== u)
            throw Error('Make sure that you pass in as many target sizes as the batch dimension of the logits');
        const n = [];
        for (let s = 0; s < u; ++s) {
            const d = o !== null ? o[s] : null;
            let f = i[s];
            d !== null && (f = interpolate(f, d, 'bilinear', !1));
            const [r, a] = d ?? f.dims.slice(-2),
                l = new Tensor('int32', new Int32Array(r * a), [r, a]),
                p = f[0].data;
            for (let v = 1; v < f.dims[0]; ++v) {
                const S = f[v].data;
                for (let E = 0; E < S.length; ++E) S[E] > p[E] && ((p[E] = S[E]), (l.data[E] = v));
            }
            const m = new Array(f.dims[0]),
                y = l.data;
            for (let v = 0; v < y.length; ++v) {
                const S = y[v];
                m[S] = S;
            }
            const T = m.filter((v) => v !== void 0);
            n.push({ segmentation: l, labels: T });
        }
        return n;
    }
}
class DPTImageProcessor extends ImageFeatureExtractor {}
class BitImageProcessor extends ImageFeatureExtractor {}
class DPTFeatureExtractor extends ImageFeatureExtractor {}
class GLPNFeatureExtractor extends ImageFeatureExtractor {}
class CLIPFeatureExtractor extends ImageFeatureExtractor {}
class ChineseCLIPFeatureExtractor extends ImageFeatureExtractor {}
class SiglipImageProcessor extends ImageFeatureExtractor {}
class ConvNextFeatureExtractor extends ImageFeatureExtractor {
    constructor(e) {
        super(e), (this.crop_pct = this.config.crop_pct ?? 224 / 256);
    }
    async resize(e) {
        const o = this.size?.shortest_edge;
        if (o === void 0) throw new Error("Size dictionary must contain 'shortest_edge' key.");
        if (o < 384) {
            const i = Math.floor(o / this.crop_pct),
                [u, n] = this.get_resize_output_image_size(e, { shortest_edge: i });
            (e = await e.resize(u, n, { resample: this.resample })), (e = await e.center_crop(o, o));
        } else e = await e.resize(o, o, { resample: this.resample });
        return e;
    }
}
class ConvNextImageProcessor extends ConvNextFeatureExtractor {}
class ViTFeatureExtractor extends ImageFeatureExtractor {}
class ViTImageProcessor extends ImageFeatureExtractor {}
class MobileViTFeatureExtractor extends ImageFeatureExtractor {}
class OwlViTFeatureExtractor extends ImageFeatureExtractor {
    post_process_object_detection(...e) {
        return post_process_object_detection(...e);
    }
}
class Owlv2ImageProcessor extends OwlViTFeatureExtractor {}
class DeiTFeatureExtractor extends ImageFeatureExtractor {}
class BeitFeatureExtractor extends ImageFeatureExtractor {}
class DonutFeatureExtractor extends ImageFeatureExtractor {
    pad_image(e, o, i, u = {}) {
        const [n, s, d] = o;
        let f = this.image_mean;
        Array.isArray(this.image_mean) || (f = new Array(d).fill(f));
        let r = this.image_std;
        Array.isArray(r) || (r = new Array(d).fill(f));
        const a = f.map((l, p) => -l / this.image_std[p]);
        return super.pad_image(e, o, i, { center: !0, constant_values: a, ...u });
    }
}
class NougatImageProcessor extends DonutFeatureExtractor {}
class DetrFeatureExtractor extends ImageFeatureExtractor {
    async _call(e) {
        const o = await super._call(e),
            i = [o.pixel_values.dims[0], 64, 64],
            u = new Tensor('int64', new BigInt64Array(i.reduce((n, s) => n * s)).fill(1n), i);
        return { ...o, pixel_mask: u };
    }
    post_process_object_detection(...e) {
        return post_process_object_detection(...e);
    }
    remove_low_and_no_objects(e, o, i, u) {
        let n = [],
            s = [],
            d = [];
        for (let f = 0; f < e.dims[0]; ++f) {
            let r = e[f],
                a = o[f],
                l = max(r.data)[1];
            if (l === u) continue;
            let m = softmax(r.data)[l];
            m > i && (n.push(a), s.push(m), d.push(l));
        }
        return [n, s, d];
    }
    check_segment_validity(e, o, i, u = 0.5, n = 0.8) {
        let s = [],
            d = 0,
            f = 0;
        for (let a = 0; a < e.length; ++a) e[a] === i && (s.push(a), ++d), o[i].data[a] >= u && ++f;
        let r = d > 0 && f > 0;
        return r && (r = d / f > n), [r, s];
    }
    compute_segments(e, o, i, u, n, s = null, d = null) {
        let [f, r] = d ?? e[0].dims,
            a = new Tensor('int32', new Int32Array(f * r), [f, r]),
            l = [];
        if (d !== null) for (let T = 0; T < e.length; ++T) e[T] = interpolate(e[T], d, 'bilinear', !1);
        let p = new Int32Array(e[0].data.length),
            m = new Float32Array(e[0].data.length);
        for (let T = 0; T < e.length; ++T) {
            let v = o[T];
            for (let S = 0; S < e[T].data.length; ++S)
                (e[T].data[S] *= v), e[T].data[S] > m[S] && ((p[S] = T), (m[S] = e[T].data[S]));
        }
        let y = 0;
        for (let T = 0; T < i.length; ++T) {
            let v = i[T],
                [S, E] = this.check_segment_validity(p, e, T, u, n);
            if (S) {
                ++y;
                for (let A of E) a.data[A] = y;
                l.push({ id: y, label_id: v, score: o[T] });
            }
        }
        return [a, l];
    }
    post_process_panoptic_segmentation(e, o = 0.5, i = 0.5, u = 0.8, n = null, s = null) {
        n === null && (console.warn('`label_ids_to_fuse` unset. No instance will be fused.'), (n = new Set()));
        const d = e.logits,
            r = e.pred_masks.sigmoid();
        let [a, l, p] = d.dims;
        if (((p -= 1), s !== null && s.length !== a))
            throw Error('Make sure that you pass in as many target sizes as the batch dimension of the logits');
        let m = [];
        for (let y = 0; y < a; ++y) {
            let T = s !== null ? s[y] : null,
                v = d[y],
                S = r[y],
                [E, A, F] = this.remove_low_and_no_objects(v, S, o, p);
            if (F.length === 0) {
                let [Q, re] = T ?? S.dims.slice(-2),
                    V = new Tensor('int32', new Int32Array(Q * re).fill(-1), [Q, re]);
                m.push({ segmentation: V, segments_info: [] });
                continue;
            }
            let [B, J] = this.compute_segments(E, A, F, i, u, n, T);
            m.push({ segmentation: B, segments_info: J });
        }
        return m;
    }
    post_process_instance_segmentation() {
        throw Error('Not implemented yet');
    }
}
class YolosFeatureExtractor extends ImageFeatureExtractor {
    post_process_object_detection(...e) {
        return post_process_object_detection(...e);
    }
}
class SamImageProcessor extends ImageFeatureExtractor {
    reshape_input_points(e, o, i) {
        e = structuredClone(e);
        let u = calculateDimensions(e);
        if (u.length === 3) (u = [1, ...u]), (e = [e]);
        else if (u.length !== 4)
            throw Error(
                'The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.'
            );
        for (let n = 0; n < e.length; ++n) {
            let s = o[n],
                d = i[n],
                f = [d[0] / s[0], d[1] / s[1]];
            for (let r = 0; r < e[n].length; ++r)
                for (let a = 0; a < e[n][r].length; ++a)
                    for (let l = 0; l < e[n][r][a].length; ++l) e[n][r][a][l] *= f[l];
        }
        return new Tensor('float32', Float32Array.from(e.flat(1 / 0)), u);
    }
    add_input_labels(e, o) {
        let i = calculateDimensions(e);
        if (i.length === 2) (i = [1, ...i]), (e = [e]);
        else if (i.length !== 3)
            throw Error(
                'The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.'
            );
        if (i.some((u, n) => u !== o.dims[n]))
            throw Error(`The first ${i.length} dimensions of 'input_points' and 'input_labels' must be the same.`);
        return new Tensor('int64', e.flat(1 / 0).map(BigInt), i);
    }
    async _call(e, o = null, i = null) {
        const u = await super._call(e);
        if ((o && (u.input_points = this.reshape_input_points(o, u.original_sizes, u.reshaped_input_sizes)), i)) {
            if (!u.input_points) throw Error('`input_points` must be provided if `input_labels` are provided.');
            u.input_labels = this.add_input_labels(i, u.input_points);
        }
        return u;
    }
    post_process_masks(e, o, i, { mask_threshold: u = 0, binarize: n = !0, pad_size: s = null } = {}) {
        const d = [];
        s = s ?? this.pad_size;
        const f = [s.height, s.width];
        for (let r = 0; r < o.length; ++r) {
            const a = o[r],
                l = i[r],
                p = e[r],
                m = [];
            for (let y = 0; y < p.dims[0]; ++y) {
                const T = p[y];
                let v = interpolate(T, f, 'bilinear', !1);
                if (((v = v.slice(null, [0, l[0]], [0, l[1]])), (v = interpolate(v, a, 'bilinear', !1)), n)) {
                    const S = new Uint8Array(v.data.length);
                    for (let E = 0; E < v.data.length; ++E) v.data[E] > u && (S[E] = 1);
                    v = new Tensor('bool', S, v.dims);
                }
                m.push(v);
            }
            d.push(stack(m));
        }
        return d;
    }
    generate_crop_boxes(
        e,
        o,
        {
            crop_n_layers: i = 0,
            overlap_ratio: u = 512 / 1500,
            points_per_crop: n = 32,
            crop_n_points_downscale_factor: s = 1,
        } = {}
    ) {}
}
class Swin2SRImageProcessor extends ImageFeatureExtractor {
    pad_image(e, o, i, u = {}) {
        const [n, s, d] = o;
        return super.pad_image(
            e,
            o,
            { width: n + ((i - (n % i)) % i), height: s + ((i - (s % i)) % i) },
            { mode: 'symmetric', center: !1, constant_values: -1, ...u }
        );
    }
}
class VitMatteImageProcessor extends ImageFeatureExtractor {
    async _call(e, o) {
        Array.isArray(e) || (e = [e]), Array.isArray(o) || (o = [o]);
        const i = await Promise.all(e.map((s) => this.preprocess(s))),
            u = await Promise.all(
                o.map((s) => this.preprocess(s, { do_normalize: !1, do_convert_rgb: !1, do_convert_grayscale: !0 }))
            );
        return {
            pixel_values: stack(
                i.map((s, d) => cat([s.pixel_values, u[d].pixel_values], 0)),
                0
            ),
            original_sizes: i.map((s) => s.original_size),
            reshaped_input_sizes: i.map((s) => s.reshaped_input_size),
        };
    }
}
class WhisperFeatureExtractor extends FeatureExtractor {
    constructor(e) {
        super(e),
            (this.config.mel_filters ??= mel_filter_bank(
                Math.floor(1 + this.config.n_fft / 2),
                this.config.feature_size,
                0,
                8e3,
                this.config.sampling_rate,
                'slaney',
                'slaney'
            )),
            (this.window = window_function(this.config.n_fft, 'hann'));
    }
    _extract_fbank_features(e) {
        const { data: o, dims: i } = spectrogram(e, this.window, this.config.n_fft, this.config.hop_length, {
                power: 2,
                mel_filters: this.config.mel_filters,
                log_mel: 'log10',
                max_num_frames: this.config.nb_max_frames,
            }),
            u = max(o)[0];
        for (let n = 0; n < o.length; ++n) o[n] = (Math.max(o[n], u - 8) + 4) / 4;
        return { data: o, dims: i };
    }
    async _call(e) {
        validate_audio_inputs(e, 'WhisperFeatureExtractor');
        let o;
        e.length > this.config.n_samples
            ? (console.warn(
                  'Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`.'
              ),
              (o = e.slice(0, this.config.n_samples)))
            : ((o = new Float32Array(this.config.n_samples)), o.set(e));
        const { data: i, dims: u } = this._extract_fbank_features(o);
        return { input_features: new Tensor('float32', i, [1, ...u]) };
    }
}
class Wav2Vec2FeatureExtractor extends FeatureExtractor {
    _zero_mean_unit_var_norm(e) {
        const i = e.reduce((n, s) => n + s, 0) / e.length,
            u = e.reduce((n, s) => n + (s - i) ** 2, 0) / e.length;
        return e.map((n) => (n - i) / Math.sqrt(u + 1e-7));
    }
    async _call(e) {
        validate_audio_inputs(e, 'Wav2Vec2FeatureExtractor'), e instanceof Float64Array && (e = new Float32Array(e));
        let o = e;
        this.config.do_normalize && (o = this._zero_mean_unit_var_norm(o));
        const i = [1, o.length];
        return {
            input_values: new Tensor('float32', o, i),
            attention_mask: new Tensor('int64', new BigInt64Array(o.length).fill(1n), i),
        };
    }
}
class SeamlessM4TFeatureExtractor extends FeatureExtractor {
    constructor(e) {
        super(e);
        const o = this.config.sampling_rate,
            i = mel_filter_bank(256, this.config.num_mel_bins, 20, Math.floor(o / 2), o, null, 'kaldi', !0);
        for (let u = 0; u < i.length; ++u) i[u].push(0);
        (this.mel_filters = i), (this.window = window_function(400, 'povey', { periodic: !1 }));
    }
    _extract_fbank_features(e, o) {
        return (
            (e = e.map((i) => i * 32768)),
            spectrogram(e, this.window, 400, 160, {
                fft_length: 512,
                power: 2,
                center: !1,
                preemphasis: 0.97,
                mel_filters: this.mel_filters,
                log_mel: 'log',
                mel_floor: 1192092955078125e-22,
                remove_dc_offset: !0,
                max_num_frames: o,
                transpose: !0,
            })
        );
    }
    async _call(
        e,
        {
            padding: o = !0,
            pad_to_multiple_of: i = 2,
            do_normalize_per_mel_bins: u = !0,
            return_attention_mask: n = !0,
        } = {}
    ) {
        validate_audio_inputs(e, 'SeamlessM4TFeatureExtractor');
        let s = this._extract_fbank_features(e, this.config.max_length);
        if (u) {
            const [y, T] = s.dims;
            for (let v = 0; v < T; ++v) {
                let S = 0;
                for (let B = 0; B < y; ++B) S += s.data[B * T + v];
                const E = S / y;
                let A = 0;
                for (let B = 0; B < y; ++B) A += (s.data[B * T + v] - E) ** 2;
                A /= y - 1;
                const F = Math.sqrt(A + 1e-7);
                for (let B = 0; B < y; ++B) {
                    const J = B * T + v;
                    s.data[J] = (s.data[J] - E) / F;
                }
            }
        }
        let d;
        if (o) {
            const [y, T] = s.dims,
                v = y % i;
            if (v > 0) {
                const S = new Float32Array(T * (y + v));
                S.set(s.data), S.fill(this.config.padding_value, s.data.length);
                const E = y + v;
                (s = { data: S, dims: [E, T] }),
                    n && ((d = new Tensor('int64', new BigInt64Array(E), [1, E])), d.data.fill(1n, 0, y));
            }
        }
        const [f, r] = s.dims,
            a = this.config.stride;
        if (f % a !== 0) throw new Error(`The number of frames (${f}) must be a multiple of the stride (${a}).`);
        const p = new Tensor('float32', s.data, s.dims).view(1, Math.floor(f / a), r * a),
            m = { input_features: p };
        if (n) {
            const y = p.dims[1],
                T = new Tensor('int64', new BigInt64Array(y), [1, y]);
            if (d) for (let v = 1, S = 0; v < f; v += a, ++S) T.data[S] = d.data[v];
            else T.data.fill(1n);
            m.attention_mask = T;
        }
        return m;
    }
}
class ASTFeatureExtractor extends FeatureExtractor {
    constructor(e) {
        super(e);
        const o = this.config.sampling_rate,
            i = mel_filter_bank(256, this.config.num_mel_bins, 20, Math.floor(o / 2), o, null, 'kaldi', !0);
        for (let u = 0; u < i.length; ++u) i[u].push(0);
        (this.mel_filters = i),
            (this.window = window_function(400, 'hann', { periodic: !1 })),
            (this.mean = this.config.mean),
            (this.std = this.config.std);
    }
    _extract_fbank_features(e, o) {
        return spectrogram(e, this.window, 400, 160, {
            fft_length: 512,
            power: 2,
            center: !1,
            preemphasis: 0.97,
            mel_filters: this.mel_filters,
            log_mel: 'log',
            mel_floor: 1192092955078125e-22,
            remove_dc_offset: !0,
            max_num_frames: o,
            transpose: !0,
        });
    }
    async _call(e) {
        validate_audio_inputs(e, 'ASTFeatureExtractor');
        const o = this._extract_fbank_features(e, this.config.max_length);
        if (this.config.do_normalize) {
            const i = this.std * 2;
            for (let u = 0; u < o.data.length; ++u) o.data[u] = (o.data[u] - this.mean) / i;
        }
        return { input_values: new Tensor('float32', o.data, [1, ...o.dims]) };
    }
}
class ClapFeatureExtractor extends FeatureExtractor {
    constructor(e) {
        super(e),
            (this.mel_filters = mel_filter_bank(
                this.config.nb_frequency_bins,
                this.config.feature_size,
                this.config.frequency_min,
                this.config.frequency_max,
                this.config.sampling_rate,
                null,
                'htk'
            )),
            (this.mel_filters_slaney = mel_filter_bank(
                this.config.nb_frequency_bins,
                this.config.feature_size,
                this.config.frequency_min,
                this.config.frequency_max,
                this.config.sampling_rate,
                'slaney',
                'slaney'
            )),
            (this.window = window_function(this.config.fft_window_size, 'hann'));
    }
    _get_input_mel(e, o, i, u) {
        let n,
            s = !1;
        const d = e.length - o;
        if (d > 0)
            if (i === 'rand_trunc') {
                s = !0;
                const f = Math.floor(Math.random() * (d + 1));
                (e = e.subarray(f, f + o)),
                    (n = this._extract_fbank_features(e, this.mel_filters_slaney, this.config.nb_max_samples)),
                    (n.dims = [1, ...n.dims]);
            } else throw new Error(`Truncation strategy "${i}" not implemented`);
        else {
            if (d < 0) {
                let f = new Float64Array(o);
                if ((f.set(e), u === 'repeat'))
                    for (let r = e.length; r < o; r += e.length) f.set(e.subarray(0, Math.min(e.length, o - r)), r);
                else if (u === 'repeatpad') for (let r = e.length; r < -d; r += e.length) f.set(e, r);
                e = f;
            }
            if (i === 'fusion') throw new Error(`Truncation strategy "${i}" not implemented`);
            (n = this._extract_fbank_features(e, this.mel_filters_slaney, this.config.nb_max_samples)),
                (n.dims = [1, ...n.dims]);
        }
        return { ...n, longer: s };
    }
    _extract_fbank_features(e, o, i = null) {
        return spectrogram(e, this.window, this.config.fft_window_size, this.config.hop_length, {
            power: 2,
            mel_filters: o,
            log_mel: 'dB',
            max_num_frames: i,
            do_pad: !1,
            transpose: !0,
        });
    }
    async _call(e, { max_length: o = null } = {}) {
        validate_audio_inputs(e, 'ClapFeatureExtractor');
        const i = this._get_input_mel(e, o ?? this.config.nb_max_samples, this.config.truncation, this.config.padding);
        return { input_features: new Tensor('float32', i.data, [1, ...i.dims]) };
    }
}
class SpeechT5FeatureExtractor extends FeatureExtractor {}
class Processor extends Callable {
    constructor(e) {
        super(), (this.feature_extractor = e);
    }
    async _call(e, ...o) {
        return await this.feature_extractor(e, ...o);
    }
}
class SamProcessor extends Processor {
    async _call(...e) {
        return await this.feature_extractor(...e);
    }
    post_process_masks(...e) {
        return this.feature_extractor.post_process_masks(...e);
    }
    reshape_input_points(...e) {
        return this.feature_extractor.reshape_input_points(...e);
    }
}
class WhisperProcessor extends Processor {
    async _call(e) {
        return await this.feature_extractor(e);
    }
}
class Wav2Vec2ProcessorWithLM extends Processor {
    async _call(e) {
        return await this.feature_extractor(e);
    }
}
class SpeechT5Processor extends Processor {
    async _call(e) {
        return await this.feature_extractor(e);
    }
}
class OwlViTProcessor extends Processor {}
class AutoProcessor {
    static FEATURE_EXTRACTOR_CLASS_MAPPING = {
        ImageFeatureExtractor,
        WhisperFeatureExtractor,
        ViTFeatureExtractor,
        MobileViTFeatureExtractor,
        OwlViTFeatureExtractor,
        Owlv2ImageProcessor,
        CLIPFeatureExtractor,
        ChineseCLIPFeatureExtractor,
        SiglipImageProcessor,
        ConvNextFeatureExtractor,
        ConvNextImageProcessor,
        SegformerFeatureExtractor,
        BitImageProcessor,
        DPTImageProcessor,
        DPTFeatureExtractor,
        GLPNFeatureExtractor,
        BeitFeatureExtractor,
        DeiTFeatureExtractor,
        DetrFeatureExtractor,
        YolosFeatureExtractor,
        DonutFeatureExtractor,
        NougatImageProcessor,
        ViTImageProcessor,
        VitMatteImageProcessor,
        SamImageProcessor,
        Swin2SRImageProcessor,
        Wav2Vec2FeatureExtractor,
        SeamlessM4TFeatureExtractor,
        SpeechT5FeatureExtractor,
        ASTFeatureExtractor,
        ClapFeatureExtractor,
    };
    static PROCESSOR_CLASS_MAPPING = {
        WhisperProcessor,
        Wav2Vec2ProcessorWithLM,
        SamProcessor,
        SpeechT5Processor,
        OwlViTProcessor,
    };
    static async from_pretrained(
        e,
        {
            progress_callback: o = null,
            config: i = null,
            cache_dir: u = null,
            local_files_only: n = !1,
            revision: s = 'main',
        } = {}
    ) {
        let d =
                i ??
                (await getModelJSON(e, 'preprocessor_config.json', !0, {
                    progress_callback: o,
                    config: i,
                    cache_dir: u,
                    local_files_only: n,
                    revision: s,
                })),
            f = d.feature_extractor_type ?? d.image_processor_type,
            r = this.FEATURE_EXTRACTOR_CLASS_MAPPING[f];
        if (!r)
            if (d.size !== void 0)
                console.warn(
                    `Feature extractor type "${f}" not found, assuming ImageFeatureExtractor due to size parameter in config.`
                ),
                    (r = ImageFeatureExtractor);
            else throw new Error(`Unknown Feature Extractor type: ${f}`);
        let a = this.PROCESSOR_CLASS_MAPPING[d.processor_class] ?? Processor,
            l = new r(d);
        return new a(l);
    }
}
if (!navigator.gpu) {
    const t = 'WebGPU is not supported by this browser.';
    throw (alert(t), Error(t));
}
env.backends.onnx.wasm.proxy = !0;
env.backends.onnx.wasm.wasmPaths = 'https://cdn.jsdelivr.net/npm/onnxruntime-web@1.17.1/dist/';
env.backends.onnx.wasm.numThreads = 1;
env.experimental.useWebGPU = !0;
const EXAMPLE_URL =
        'https://images.pexels.com/photos/5965592/pexels-photo-5965592.jpeg?auto=compress&cs=tinysrgb&w=1024',
    status = document.getElementById('status'),
    fileUpload = document.getElementById('upload'),
    imageContainer = document.getElementById('container'),
    example = document.getElementById('example');
status.textContent = 'AI 모델 로딩중...';
let model;
try {
    model = await AutoModel.from_pretrained('briaai/RMBG-1.4', { config: { model_type: 'custom' }, quantized: !1 });
} catch (t) {
    throw ((status.textContent = t.message), alert(t.message), t);
}
const processor = await AutoProcessor.from_pretrained('briaai/RMBG-1.4', {
    config: {
        do_normalize: !0,
        do_pad: !1,
        do_rescale: !0,
        do_resize: !0,
        image_mean: [0.5, 0.5, 0.5],
        feature_extractor_type: 'ImageFeatureExtractor',
        image_std: [1, 1, 1],
        resample: 2,
        rescale_factor: 0.00392156862745098,
        size: { width: 1024, height: 1024 },
    },
});
status.textContent = 'AI 모델 설치중...';
const [b, c, h, w] = [1, 3, 1024, 1024],
    dummyData = new Float32Array(b * c * h * w);
await model({ input: new Tensor('float32', dummyData, [b, c, h, w]) });
status.textContent = '준비 완료!';
example.addEventListener('click', (t) => {
    t.preventDefault(), predict(EXAMPLE_URL);
});
fileUpload.addEventListener('change', function (t) {
    const e = t.target.files[0];
    if (!e) return;
    const o = new FileReader();
    (o.onload = (i) => predict(i.target.result)), o.readAsDataURL(e);
});
async function predict(t) {
    const e = await RawImage.fromURL(t);
    (imageContainer.innerHTML = ''), (imageContainer.style.backgroundImage = `url(${t})`);
    const o = e.width / e.height,
        [i, u] = o > 720 / 480 ? [720, 720 / o] : [480 * o, 480];
    (imageContainer.style.width = `${i}px`),
        (imageContainer.style.height = `${u}px`),
        (status.textContent = 'Analysing...');
    const { pixel_values: n } = await processor(e),
        s = performance.now(),
        { output: d } = await model({ input: n }),
        f = performance.now(),
        r = await RawImage.fromTensor(d[0].mul(255).to('uint8')).resize(e.width, e.height),
        a = document.createElement('canvas');
    (a.width = e.width), (a.height = e.height);
    const l = a.getContext('2d');
    l.drawImage(e.toCanvas(), 0, 0);
    const p = l.getImageData(0, 0, e.width, e.height);
    for (let m = 0; m < r.data.length; ++m) p.data[4 * m + 3] = r.data[m];
    l.putImageData(p, 0, 0),
        imageContainer.append(a),
        imageContainer.style.removeProperty('background-image'),
        (imageContainer.style.background =
            'url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQBAMAAADt3eJSAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAGUExURb+/v////5nD/3QAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAAUSURBVBjTYwABQSCglEENMxgYGAAynwRB8BEAgQAAAABJRU5ErkJggg==")'),
        (status.textContent = `Done! (Inference took ${Math.round(f - s)}ms)`);
}
function __vite__mapDeps(indexes) {
    if (!__vite__mapDeps.viteFileDeps) {
        __vite__mapDeps.viteFileDeps = [];
    }
    return indexes.map((i) => __vite__mapDeps.viteFileDeps[i]);
}