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Summary: Formats the covered files with pyfmt. paintitblack Reviewed By: itamaro Differential Revision: D90476295 fbshipit-source-id: 5101d4aae980a9f8955a4cb10bae23997c48837f
56 lines
1.4 KiB
Python
56 lines
1.4 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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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 pytorch3d.ops.ball_query import ball_query
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def ball_query_square(
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N: int, P1: int, P2: int, D: int, K: int, radius: float, device: str
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):
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device = torch.device(device)
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pts1 = torch.rand(N, P1, D, device=device)
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pts2 = torch.rand(N, P2, D, device=device)
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torch.cuda.synchronize()
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def output():
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ball_query(pts1, pts2, K=K, radius=radius, skip_points_outside_cube=True)
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torch.cuda.synchronize()
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return output
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def bm_ball_query() -> None:
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backends = ["cpu", "cuda:0"]
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kwargs_list = []
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Ns = [32]
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P1s = [256]
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P2s = [2**p for p in range(9, 20, 2)]
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Ds = [3, 10]
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Ks = [500]
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Rs = [0.01, 0.1]
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test_cases = product(Ns, P1s, P2s, Ds, Ks, Rs, backends)
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for case in test_cases:
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N, P1, P2, D, K, R, b = case
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kwargs_list.append(
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{"N": N, "P1": P1, "P2": P2, "D": D, "K": K, "radius": R, "device": b}
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)
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benchmark(
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ball_query_square,
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"BALLQUERY_SQUARE",
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kwargs_list,
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num_iters=30,
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warmup_iters=1,
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)
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if __name__ == "__main__":
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bm_ball_query()
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