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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
from fvcore.common.benchmark import benchmark
from tests.test_sample_farthest_points import TestFPS
def bm_fps() -> None:
kwargs_list = []
backends = ["cpu", "cuda:0"]
Ns = [8, 32]
Ps = [64, 256]
Ds = [3]
Ks = [24]
test_cases = product(Ns, Ps, Ds, Ks, backends)
for case in test_cases:
N, P, D, K, d = case
kwargs_list.append({"N": N, "P": P, "D": D, "K": K, "device": d})
benchmark(
TestFPS.sample_farthest_points_naive,
"FPS_NAIVE_PYTHON",
kwargs_list,
warmup_iters=1,
)
# Add some larger batch sizes and pointcloud sizes
Ns = [32]
Ps = [2048, 8192, 18384]
Ds = [3, 9]
Ks = [24, 48]
test_cases = product(Ns, Ps, Ds, Ks, backends)
for case in test_cases:
N, P, D, K, d = case
kwargs_list.append({"N": N, "P": P, "D": D, "K": K, "device": d})
benchmark(TestFPS.sample_farthest_points, "FPS", kwargs_list, warmup_iters=1)
if __name__ == "__main__":
bm_fps()
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