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37 lines
896 B
Python
37 lines
896 B
Python
#!/usr/bin/env python3
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# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
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from itertools import product
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import torch
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from fvcore.common.benchmark import benchmark
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from test_nearest_neighbor_points import TestNearestNeighborPoints
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def bm_nn_points() -> None:
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kwargs_list = []
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N = [1, 4, 32]
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D = [3, 4]
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P1 = [1, 128]
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P2 = [32, 128]
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test_cases = product(N, D, P1, P2)
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for case in test_cases:
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n, d, p1, p2 = case
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kwargs_list.append({"N": n, "D": d, "P1": p1, "P2": p2})
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benchmark(
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TestNearestNeighborPoints.bm_nn_points_python_with_init,
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"NN_PYTHON",
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kwargs_list,
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warmup_iters=1,
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)
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if torch.cuda.is_available():
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benchmark(
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TestNearestNeighborPoints.bm_nn_points_cuda_with_init,
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"NN_CUDA",
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kwargs_list,
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warmup_iters=1,
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)
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