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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from itertools import product
from fvcore.common.benchmark import benchmark
from tests.test_knn import TestKNN
def bm_knn() -> None:
backends = ["cpu", "cuda:0"]
kwargs_list = []
Ns = [32]
P1s = [256]
P2s = [128, 512]
Ds = [3]
Ks = [24]
test_cases = product(Ns, P1s, P2s, Ds, Ks, backends)
for case in test_cases:
N, P1, P2, D, K, b = case
kwargs_list.append({"N": N, "P1": P1, "P2": P2, "D": D, "K": K, "device": b})
benchmark(TestKNN.knn_square, "KNN_SQUARE", kwargs_list, warmup_iters=1)
benchmark(TestKNN.knn_ragged, "KNN_RAGGED", kwargs_list, warmup_iters=1)
if __name__ == "__main__":
bm_knn()
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