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https://github.com/facebookresearch/pytorch3d.git
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0d8608b9f9
Summary: Torch C++ extension for Marching Cubes - Add torch C++ extension for marching cubes. Observe a speed up of ~255x-324x speed up (over varying batch sizes and spatial resolutions) - Add C++ impl in existing unit-tests. (Note: this ignores all push blocking failures!) Reviewed By: kjchalup Differential Revision: D39590638 fbshipit-source-id: e44d2852a24c2c398e5ea9db20f0dfaa1817e457
35 lines
860 B
Python
35 lines
860 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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import itertools
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from fvcore.common.benchmark import benchmark
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from tests.test_marching_cubes import TestMarchingCubes
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def bm_marching_cubes() -> None:
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case_grid = {
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"algo_type": [
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"naive",
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"cextension",
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],
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"batch_size": [1, 5, 20],
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"V": [5, 10, 20],
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}
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test_cases = itertools.product(*case_grid.values())
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kwargs_list = [dict(zip(case_grid.keys(), case)) for case in test_cases]
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benchmark(
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TestMarchingCubes.marching_cubes_with_init,
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"MARCHING_CUBES",
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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_marching_cubes()
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