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See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter. You can review these PRs via: ```bash git diff --ignore-all-space --ignore-blank-lines HEAD~1 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/129754 Approved by: https://github.com/ezyang
45 lines
1.0 KiB
Python
45 lines
1.0 KiB
Python
import operator_benchmark as op_bench
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import torch
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"""Microbenchmarks for Split operator"""
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# Configs for PT Split operator
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split_configs_short = op_bench.config_list(
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attr_names=["M", "N", "parts"],
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attrs=[
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[8, 8, 2],
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[256, 512, 2],
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[512, 512, 2],
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],
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cross_product_configs={
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"device": ["cpu", "cuda"],
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},
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tags=["short"],
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)
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split_configs_long = op_bench.cross_product_configs(
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M=[128, 1024], N=[128, 1024], parts=[2, 4], device=["cpu", "cuda"], tags=["long"]
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)
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class SplitBenchmark(op_bench.TorchBenchmarkBase):
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def init(self, M, N, parts, device):
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self.inputs = {
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"input": torch.rand(M, N, device=device),
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"split_size": int(M * N / parts),
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}
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self.set_module_name("split")
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def forward(self, input, split_size: int):
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return torch.split(input, split_size)
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op_bench.generate_pt_test(split_configs_short + split_configs_long, SplitBenchmark)
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if __name__ == "__main__":
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op_bench.benchmark_runner.main()
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