| # 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_meshes import TestMeshes | |
| def bm_compute_packed_padded_meshes() -> None: | |
| devices = ["cpu"] | |
| if torch.cuda.is_available(): | |
| devices.append("cuda") | |
| kwargs_list = [] | |
| num_meshes = [32, 128] | |
| max_v = [100, 1000, 10000] | |
| max_f = [300, 3000, 30000] | |
| test_cases = product(num_meshes, max_v, max_f, devices) | |
| for case in test_cases: | |
| n, v, f, d = case | |
| kwargs_list.append({"num_meshes": n, "max_v": v, "max_f": f, "device": d}) | |
| benchmark( | |
| TestMeshes.compute_packed_with_init, | |
| "COMPUTE_PACKED", | |
| kwargs_list, | |
| warmup_iters=1, | |
| ) | |
| benchmark( | |
| TestMeshes.compute_padded_with_init, | |
| "COMPUTE_PADDED", | |
| kwargs_list, | |
| warmup_iters=1, | |
| ) | |
| if __name__ == "__main__": | |
| bm_compute_packed_padded_meshes() | |