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https://github.com/facebookresearch/pytorch3d.git
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9eeb456e82
Summary: Update all FB license strings to the new format. Reviewed By: patricklabatut Differential Revision: D33403538 fbshipit-source-id: 97a4596c5c888f3c54f44456dc07e718a387a02c
44 lines
1.1 KiB
Python
44 lines
1.1 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 test_meshes import TestMeshes
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def bm_compute_packed_padded_meshes() -> None:
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devices = ["cpu"]
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if torch.cuda.is_available():
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devices.append("cuda")
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kwargs_list = []
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num_meshes = [32, 128]
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max_v = [100, 1000, 10000]
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max_f = [300, 3000, 30000]
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test_cases = product(num_meshes, max_v, max_f, devices)
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for case in test_cases:
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n, v, f, d = case
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kwargs_list.append({"num_meshes": n, "max_v": v, "max_f": f, "device": d})
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benchmark(
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TestMeshes.compute_packed_with_init,
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"COMPUTE_PACKED",
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kwargs_list,
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warmup_iters=1,
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)
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benchmark(
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TestMeshes.compute_padded_with_init,
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"COMPUTE_PADDED",
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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_compute_packed_padded_meshes()
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