mirror of
https://github.com/facebookresearch/pytorch3d.git
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ba11c0b59c
Summary: Changed `torch.cumprod` to `torch.prod` in blending functions and added more tests and benchmark tests. This should fix the issue raised on GitHub. Reviewed By: gkioxari Differential Revision: D20163073 fbshipit-source-id: 4569fd37be11aa4435a3ce8736b55622c00ec718
43 lines
1005 B
Python
43 lines
1005 B
Python
#!/usr/bin/env python3
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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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from itertools import product
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from fvcore.common.benchmark import benchmark
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from test_blending import TestBlending
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def bm_blending() -> None:
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devices = ["cpu", "cuda"]
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kwargs_list = []
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num_meshes = [16]
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image_size = [128, 256]
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faces_per_pixel = [50, 100]
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test_cases = product(num_meshes, image_size, faces_per_pixel, devices)
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for case in test_cases:
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n, s, k, d = case
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kwargs_list.append(
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{
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"num_meshes": n,
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"image_size": s,
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"faces_per_pixel": k,
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"device": d,
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}
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)
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benchmark(
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TestBlending.bm_sigmoid_alpha_blending,
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"SIGMOID_ALPHA_BLENDING_PYTORCH",
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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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TestBlending.bm_softmax_blending,
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"SOFTMAX_BLENDING_PYTORCH",
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kwargs_list,
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warmup_iters=1,
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)
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