bm_mesh_normal_consistency.py 784 Bytes
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# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
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from itertools import product
import torch
from fvcore.common.benchmark import benchmark

from test_mesh_normal_consistency import TestMeshNormalConsistency


def bm_mesh_normal_consistency() -> None:
    devices = ["cpu"]
    if torch.cuda.is_available():
        devices.append("cuda")

    kwargs_list = []
    num_meshes = [16, 32, 64]
    levels = [2, 3]
    test_cases = product(num_meshes, levels, devices)
    for case in test_cases:
        n, l, d = case
        kwargs_list.append({"num_meshes": n, "level": l, "device": d})

    benchmark(
        TestMeshNormalConsistency.mesh_normal_consistency_with_ico,
        "MESH_NORMAL_CONSISTENCY_ICO",
        kwargs_list,
        warmup_iters=1,
    )