mirror of
https://github.com/facebookresearch/pytorch3d.git
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055ab3a2e3
Summary:
Converts the directory specified to use the Ruff formatter in pyfmt
ruff_dog
If this diff causes merge conflicts when rebasing, please run
`hg status -n -0 --change . -I '**/*.{py,pyi}' | xargs -0 arc pyfmt`
on your diff, and amend any changes before rebasing onto latest.
That should help reduce or eliminate any merge conflicts.
allow-large-files
Reviewed By: bottler
Differential Revision: D66472063
fbshipit-source-id: 35841cb397e4f8e066e2159550d2f56b403b1bef
34 lines
881 B
Python
34 lines
881 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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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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