| # 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_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, | |
| ) | |
| if __name__ == "__main__": | |
| bm_face_areas_normals() | |