pytorch3d/tests/bm_sample_farthest_points.py
Nikhila Ravi d9f7611c4b Farthest point sampling C++
Summary: C++ implementation of iterative farthest point sampling.

Reviewed By: jcjohnson

Differential Revision: D30349887

fbshipit-source-id: d25990f857752633859fe00283e182858a870269
2021-09-15 13:49:21 -07:00

38 lines
992 B
Python

# Copyright (c) Facebook, Inc. and its 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 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,
)
kwargs_list = [k for k in kwargs_list if k["device"] == "cpu"]
benchmark(TestFPS.sample_farthest_points, "FPS_CPU", kwargs_list, warmup_iters=1)
if __name__ == "__main__":
bm_fps()