mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-02 03:42:50 +08:00
34f648ede0
Summary: Move testing targets from pytorch3d/tests/TARGETS to pytorch3d/TARGETS. Reviewed By: shapovalov Differential Revision: D36186940 fbshipit-source-id: a4c52c4d99351f885e2b0bf870532d530324039b
66 lines
1.8 KiB
Python
66 lines
1.8 KiB
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.
|
|
|
|
from itertools import product
|
|
|
|
import torch
|
|
from fvcore.common.benchmark import benchmark
|
|
from tests.test_chamfer import TestChamfer
|
|
|
|
|
|
def bm_chamfer() -> None:
|
|
# Currently disabled.
|
|
return
|
|
devices = ["cpu"]
|
|
if torch.cuda.is_available():
|
|
devices.append("cuda:0")
|
|
|
|
kwargs_list_naive = []
|
|
batch_size = [1, 32]
|
|
return_normals = [True, False]
|
|
test_cases = product(batch_size, return_normals, devices)
|
|
|
|
for case in test_cases:
|
|
b, n, d = case
|
|
kwargs_list_naive.append(
|
|
{"batch_size": b, "P1": 32, "P2": 64, "return_normals": n, "device": d}
|
|
)
|
|
|
|
benchmark(
|
|
TestChamfer.chamfer_naive_with_init,
|
|
"CHAMFER_NAIVE",
|
|
kwargs_list_naive,
|
|
warmup_iters=1,
|
|
)
|
|
|
|
if torch.cuda.is_available():
|
|
device = "cuda:0"
|
|
kwargs_list = []
|
|
batch_size = [1, 32]
|
|
P1 = [32, 1000, 10000]
|
|
P2 = [64, 3000, 30000]
|
|
return_normals = [True, False]
|
|
homogeneous = [True, False]
|
|
test_cases = product(batch_size, P1, P2, return_normals, homogeneous)
|
|
|
|
for case in test_cases:
|
|
b, p1, p2, n, h = case
|
|
kwargs_list.append(
|
|
{
|
|
"batch_size": b,
|
|
"P1": p1,
|
|
"P2": p2,
|
|
"return_normals": n,
|
|
"homogeneous": h,
|
|
"device": device,
|
|
}
|
|
)
|
|
benchmark(TestChamfer.chamfer_with_init, "CHAMFER", kwargs_list, warmup_iters=1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
bm_chamfer()
|