Files
pytorch/benchmarks/operator_benchmark/pt/chunk_test.py
Xuehai Pan 7763c83af6 [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126)
The `usort` config in `pyproject.toml` has no effect due to a typo. Fixing the typo make `usort` do more and generate the changes in the PR. Except `pyproject.toml`, all changes are generated by `lintrunner -a --take UFMT --all-files`.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127126
Approved by: https://github.com/kit1980
ghstack dependencies: #127122, #127123, #127124, #127125
2024-05-27 04:22:18 +00:00

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Python

import operator_benchmark as op_bench
import torch
"""Microbenchmarks for Chunk operator"""
# Configs for PT Chunk operator
chunk_short_configs = op_bench.config_list(
attr_names=["M", "N", "chunks"],
attrs=[
[8, 8, 2],
[256, 512, 2],
[512, 512, 2],
],
cross_product_configs={
"device": ["cpu", "cuda"],
},
tags=["short"],
)
chunks_long_configs = op_bench.cross_product_configs(
M=[128, 1024], N=[128, 1024], chunks=[2, 4], device=["cpu", "cuda"], tags=["long"]
)
class ChunkBenchmark(op_bench.TorchBenchmarkBase):
def init(self, M, N, chunks, device):
self.inputs = {"input_one": torch.rand(M, N, device=device), "chunks": chunks}
self.set_module_name("chunk")
def forward(self, input_one, chunks: int):
return torch.chunk(input_one, chunks)
op_bench.generate_pt_test(chunk_short_configs + chunks_long_configs, ChunkBenchmark)
if __name__ == "__main__":
op_bench.benchmark_runner.main()