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34 lines
890 B
Python
34 lines
890 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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import torch
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from fvcore.common.benchmark import benchmark
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from test_mesh_laplacian_smoothing import TestLaplacianSmoothing
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def bm_mesh_laplacian_smoothing() -> 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 = [2, 10, 32]
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num_verts = [100, 1000]
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num_faces = [300, 3000]
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test_cases = product(num_meshes, num_verts, num_faces, 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(
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{"num_meshes": n, "num_verts": v, "num_faces": f, "device": d}
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)
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benchmark(
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TestLaplacianSmoothing.laplacian_smoothing_with_init,
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"MESH_LAPLACIAN_SMOOTHING",
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kwargs_list,
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warmup_iters=1,
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)
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