mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-02 11:52:50 +08:00
a3baa367e3
Summary: Added backward for mesh face areas & normals. Exposed it as a layer. Replaced the computation with the new op in Meshes and in Sample Points. Current issue: Circular imports. I moved the import of the op in meshes inside the function scope. Reviewed By: jcjohnson Differential Revision: D19920082 fbshipit-source-id: d213226d5e1d19a0c8452f4d32771d07e8b91c0a
41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
#!/usr/bin/env python3
|
|
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
|
|
|
|
|
from itertools import product
|
|
import torch
|
|
from fvcore.common.benchmark import benchmark
|
|
|
|
from test_face_areas_normals import TestFaceAreasNormals
|
|
|
|
|
|
def bm_face_areas_normals() -> None:
|
|
kwargs_list = []
|
|
backend = ["cpu"]
|
|
if torch.cuda.is_available():
|
|
backend.append("cuda:0")
|
|
|
|
num_meshes = [2, 10, 32]
|
|
num_verts = [100, 1000]
|
|
num_faces = [300, 3000]
|
|
|
|
test_cases = product(num_meshes, num_verts, num_faces, backend)
|
|
for case in test_cases:
|
|
n, v, f, d = case
|
|
kwargs_list.append(
|
|
{"num_meshes": n, "num_verts": v, "num_faces": f, "device": d}
|
|
)
|
|
benchmark(
|
|
TestFaceAreasNormals.face_areas_normals_with_init,
|
|
"FACE_AREAS_NORMALS",
|
|
kwargs_list,
|
|
warmup_iters=1,
|
|
)
|
|
|
|
benchmark(
|
|
TestFaceAreasNormals.face_areas_normals_with_init_torch,
|
|
"FACE_AREAS_NORMALS_TORCH",
|
|
kwargs_list,
|
|
warmup_iters=1,
|
|
)
|