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# 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
import torch
from fvcore.common.benchmark import benchmark
from tests.test_sample_points_from_meshes import TestSamplePoints
def bm_sample_points() -> None:
backend = ["cpu"]
if torch.cuda.is_available():
backend.append("cuda:0")
kwargs_list = []
num_meshes = [2, 10, 32]
num_verts = [100, 1000]
num_faces = [300, 3000]
num_samples = [5000, 10000]
test_cases = product(num_meshes, num_verts, num_faces, num_samples, backend)
for case in test_cases:
n, v, f, s, b = case
kwargs_list.append(
{
"num_meshes": n,
"num_verts": v,
"num_faces": f,
"num_samples": s,
"device": b,
}
)
benchmark(
TestSamplePoints.sample_points_with_init,
"SAMPLE_MESH",
kwargs_list,
warmup_iters=1,
)
if __name__ == "__main__":
bm_sample_points()
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