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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_vert_align import TestVertAlign
def bm_vert_align() -> None:
devices = ["cpu"]
if torch.cuda.is_available():
devices.append("cuda")
kwargs_list = []
num_meshes = [2, 10, 32]
num_verts = [100, 1000]
num_faces = [300, 3000]
test_cases = product(num_meshes, num_verts, num_faces, devices)
for case in test_cases:
n, v, f, d = case
kwargs_list.append(
{"num_meshes": n, "num_verts": v, "num_faces": f, "device": d}
)
benchmark(
TestVertAlign.vert_align_with_init, "VERT_ALIGN", kwargs_list, warmup_iters=1
)
if __name__ == "__main__":
bm_vert_align()
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