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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/127123 Approved by: https://github.com/Skylion007 ghstack dependencies: #127122
45 lines
1.1 KiB
Python
45 lines
1.1 KiB
Python
import benchmark_caffe2 as op_bench_c2
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from benchmark_caffe2 import Caffe2BenchmarkBase # noqa: F401
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import operator_benchmark as op_bench
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from caffe2.python import core
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"""Microbenchmarks for element-wise ReplaceNaN operator."""
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# Configs for C2 ReplaceNaN operator
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replace_nan_long_configs = op_bench.cross_product_configs(
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M=[32, 64, 128], N=range(32, 128, 32), dtype=["float", "double"], tags=["long"]
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)
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replace_nan_short_configs = op_bench.config_list(
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attrs=[
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[16, 16, "float"],
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[16, 16, "double"],
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[64, 64, "float"],
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[64, 64, "double"],
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],
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attr_names=["M", "N", "dtype"],
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tags=["short"],
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)
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class ReplaceNaNBenchmark(op_bench_c2.Caffe2BenchmarkBase):
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def init(self, M, N, dtype):
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self.input = self.tensor([M, N], dtype)
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self.set_module_name("replace_nan")
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def forward(self):
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op = core.CreateOperator("ReplaceNaN", self.input, self.input, value=1.0)
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return op
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op_bench_c2.generate_c2_test(
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replace_nan_long_configs + replace_nan_short_configs, ReplaceNaNBenchmark
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)
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if __name__ == "__main__":
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op_bench.benchmark_runner.main()
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