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https://github.com/facebookresearch/pytorch3d.git
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af93f34834
Summary: License lint codebase Reviewed By: theschnitz Differential Revision: D29001799 fbshipit-source-id: 5c59869911785b0181b1663bbf430bc8b7fb2909
45 lines
1.1 KiB
Python
45 lines
1.1 KiB
Python
# Copyright (c) Facebook, Inc. and its 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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from fvcore.common.benchmark import benchmark
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from test_point_mesh_distance import TestPointMeshDistance
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def bm_point_mesh_distance() -> None:
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backend = ["cuda:0"]
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kwargs_list = []
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batch_size = [4, 8, 16]
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num_verts = [100, 1000]
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num_faces = [300, 3000]
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num_points = [5000, 10000]
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test_cases = product(batch_size, num_verts, num_faces, num_points, backend)
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for case in test_cases:
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n, v, f, p, b = case
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kwargs_list.append({"N": n, "V": v, "F": f, "P": p, "device": b})
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benchmark(
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TestPointMeshDistance.point_mesh_edge,
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"POINT_MESH_EDGE",
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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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TestPointMeshDistance.point_mesh_face,
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"POINT_MESH_FACE",
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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_point_mesh_distance()
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