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

Differential Revision: D66472063

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

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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.
import itertools
from fvcore.common.benchmark import benchmark
from tests.test_cameras_alignment import TestCamerasAlignment
def bm_cameras_alignment() -> None:
case_grid = {
"batch_size": [10, 100, 1000],
"mode": ["centers", "extrinsics"],
"estimate_scale": [False, True],
}
test_cases = itertools.product(*case_grid.values())
kwargs_list = [dict(zip(case_grid.keys(), case)) for case in test_cases]
benchmark(
TestCamerasAlignment.corresponding_cameras_alignment,
"CORRESPONDING_CAMERAS_ALIGNMENT",
kwargs_list,
warmup_iters=1,
)
if __name__ == "__main__":
bm_cameras_alignment()