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// Created by Nick Donaldson on 5/21/13.
//
#ifndef TonicDemo_ArbitraryTableLookupDemo_h
#define TonicDemo_ArbitraryTableLookupDemo_h
#include "Tonic.h"
using namespace Tonic;
class ArbitraryTableLookupSynth : public Synth
{
public:
ArbitraryTableLookupSynth(){
// Build a table of arbitrary length. TableLookupOsc requires power-of-two+1 length tables, but they will be resized if necessary.
// Try changing this to 2049 and compare the sound. Should be perceptually almost identical.
const unsigned int tablesize = 2500;
// You can register this in a collection if you want to use it in a few oscillators
SampleTable lookupTable = SampleTable(tablesize, 1);
TonicFloat norm = 1.0f / tablesize;
TonicFloat * tableData = lookupTable.dataPointer();
for (unsigned int i=0; i<tablesize; i++){
// sum a few sine waves
TonicFloat phase = TWO_PI * i * norm;
*tableData++ = 0.75f * sinf(phase) + 0.5f * sinf( phase * 2 ) + 0.25f * sinf(phase * 5);
}
TableLookupOsc osc = TableLookupOsc().setLookupTable(lookupTable).freq( 100 + 40 * SineWave().freq(0.1) );
setOutputGen(osc * 0.25);
}
};
TONIC_REGISTER_SYNTH(ArbitraryTableLookupSynth);
#endif
#include <android/log.h>
#include <pthread.h>
#include <unistd.h>
#include <cassert>
#include <cmath>
#include <vector>
#define ALOGI(...) \
__android_log_print(ANDROID_LOG_INFO, "PyTorchTestAppJni", __VA_ARGS__)
#define ALOGE(...) \
__android_log_print(ANDROID_LOG_ERROR, "PyTorchTestAppJni", __VA_ARGS__)
#include "jni.h"
#include <torch/script.h>
namespace pytorch_testapp_jni {
namespace {
template <typename T>
void log(const char* m, T t) {
std::ostringstream os;
os << t << std::endl;
ALOGI("%s %s", m, os.str().c_str());
}
struct JITCallGuard {
c10::InferenceMode guard;
torch::jit::GraphOptimizerEnabledGuard no_optimizer_guard{false};
};
} // namespace
static void loadAndForwardModel(JNIEnv* env, jclass, jstring jModelPath) {
const char* modelPath = env->GetStringUTFChars(jModelPath, 0);
assert(modelPath);
// To load torchscript model for mobile we need set these guards,
// because mobile build doesn't support features like autograd for smaller
// build size which is placed in `struct JITCallGuard` in this example. It may
// change in future, you can track the latest changes keeping an eye in
// android/pytorch_android/src/main/cpp/pytorch_jni_jit.cpp
JITCallGuard guard;
torch::jit::Module module = torch::jit::load(modelPath);
module.eval();
torch::Tensor t = torch::randn({1, 3, 224, 224});
log("input tensor:", t);
c10::IValue t_out = module.forward({t});
log("output tensor:", t_out);
env->ReleaseStringUTFChars(jModelPath, modelPath);
}
} // namespace pytorch_testapp_jni
JNIEXPORT jint JNI_OnLoad(JavaVM* vm, void*) {
JNIEnv* env;