pytorch3d/tests/bm_nearest_neighbor_points.py
Patrick Labatut d57daa6f85 Address black + isort fbsource linter warnings
Summary: Address black + isort fbsource linter warnings from D20558374 (previous diff)

Reviewed By: nikhilaravi

Differential Revision: D20558373

fbshipit-source-id: d3607de4a01fb24c0d5269634563a7914bddf1c8
2020-03-29 14:51:02 -07:00

43 lines
1020 B
Python

# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
from itertools import product
import torch
from fvcore.common.benchmark import benchmark
from test_nearest_neighbor_points import TestNearestNeighborPoints
def bm_nn_points() -> None:
kwargs_list = []
N = [1, 4, 32]
D = [3, 4]
P1 = [1, 128]
P2 = [32, 128]
test_cases = product(N, D, P1, P2)
for case in test_cases:
n, d, p1, p2 = case
kwargs_list.append({"N": n, "D": d, "P1": p1, "P2": p2})
benchmark(
TestNearestNeighborPoints.bm_nn_points_python_with_init,
"NN_PYTHON",
kwargs_list,
warmup_iters=1,
)
benchmark(
TestNearestNeighborPoints.bm_nn_points_cpu_with_init,
"NN_CPU",
kwargs_list,
warmup_iters=1,
)
if torch.cuda.is_available():
benchmark(
TestNearestNeighborPoints.bm_nn_points_cuda_with_init,
"NN_CUDA",
kwargs_list,
warmup_iters=1,
)