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
46 lines
1.2 KiB
Python
46 lines
1.2 KiB
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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import torch
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from fvcore.common.benchmark import benchmark
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from tests.test_sample_points_from_meshes import TestSamplePoints
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def bm_sample_points() -> None:
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backend = ["cpu"]
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if torch.cuda.is_available():
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backend.append("cuda:0")
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kwargs_list = []
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num_meshes = [2, 10, 32]
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num_verts = [100, 1000]
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num_faces = [300, 3000]
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num_samples = [5000, 10000]
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test_cases = product(num_meshes, num_verts, num_faces, num_samples, backend)
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for case in test_cases:
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n, v, f, s, b = case
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kwargs_list.append(
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{
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"num_meshes": n,
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"num_verts": v,
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"num_faces": f,
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"num_samples": s,
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"device": b,
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}
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)
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benchmark(
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TestSamplePoints.sample_points_with_init,
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"SAMPLE_MESH",
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kwargs_list,
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warmup_iters=1,
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)
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if __name__ == "__main__":
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bm_sample_points()
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