| # 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() | |