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from itertools import product |
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from fvcore.common.benchmark import benchmark |
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from tests.test_knn import TestKNN |
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def bm_knn() -> None: |
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backends = ["cpu", "cuda:0"] |
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kwargs_list = [] |
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Ns = [32] |
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P1s = [256] |
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P2s = [128, 512] |
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Ds = [3] |
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Ks = [24] |
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test_cases = product(Ns, P1s, P2s, Ds, Ks, backends) |
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for case in test_cases: |
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N, P1, P2, D, K, b = case |
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kwargs_list.append({"N": N, "P1": P1, "P2": P2, "D": D, "K": K, "device": b}) |
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benchmark(TestKNN.knn_square, "KNN_SQUARE", kwargs_list, warmup_iters=1) |
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benchmark(TestKNN.knn_ragged, "KNN_RAGGED", kwargs_list, warmup_iters=1) |
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if __name__ == "__main__": |
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bm_knn() |
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