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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
42 lines
997 B
Python
42 lines
997 B
Python
import operator_benchmark as op_bench
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import torch
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"""Microbenchmarks for Chunk operator"""
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# Configs for PT Chunk operator
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chunk_short_configs = op_bench.config_list(
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attr_names=["M", "N", "chunks"],
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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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chunks_long_configs = op_bench.cross_product_configs(
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M=[128, 1024], N=[128, 1024], chunks=[2, 4], device=["cpu", "cuda"], tags=["long"]
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)
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class ChunkBenchmark(op_bench.TorchBenchmarkBase):
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def init(self, M, N, chunks, device):
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self.inputs = {"input_one": torch.rand(M, N, device=device), "chunks": chunks}
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self.set_module_name("chunk")
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def forward(self, input_one, chunks: int):
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return torch.chunk(input_one, chunks)
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op_bench.generate_pt_test(chunk_short_configs + chunks_long_configs, ChunkBenchmark)
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if __name__ == "__main__":
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op_bench.benchmark_runner.main()
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