pytorch3d/tests/benchmarks/bm_point_mesh_distance.py
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Reviewed By: bottler

Differential Revision: D66472063

fbshipit-source-id: 35841cb397e4f8e066e2159550d2f56b403b1bef
2024-11-26 02:38:20 -08:00

44 lines
1.1 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from itertools import product
from fvcore.common.benchmark import benchmark
from tests.test_point_mesh_distance import TestPointMeshDistance
def bm_point_mesh_distance() -> None:
backend = ["cuda:0"]
kwargs_list = []
batch_size = [4, 8, 16]
num_verts = [100, 1000]
num_faces = [300, 3000]
num_points = [5000, 10000]
test_cases = product(batch_size, num_verts, num_faces, num_points, backend)
for case in test_cases:
n, v, f, p, b = case
kwargs_list.append({"N": n, "V": v, "F": f, "P": p, "device": b})
benchmark(
TestPointMeshDistance.point_mesh_edge,
"POINT_MESH_EDGE",
kwargs_list,
warmup_iters=1,
)
benchmark(
TestPointMeshDistance.point_mesh_face,
"POINT_MESH_FACE",
kwargs_list,
warmup_iters=1,
)
if __name__ == "__main__":
bm_point_mesh_distance()