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c0ed38e644
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
55 lines
1.2 KiB
Python
55 lines
1.2 KiB
Python
import operator_benchmark as op_bench
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import torch
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from torch.testing._internal.common_device_type import get_all_device_types
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"""Microbenchmark for Fill_ operator."""
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fill_short_configs = op_bench.config_list(
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attr_names=["N"],
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attrs=[
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[1],
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[1024],
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[2048],
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],
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cross_product_configs={
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"device": ["cpu", "cuda"],
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"dtype": [torch.int32],
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},
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tags=["short"],
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)
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fill_long_configs = op_bench.cross_product_configs(
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N=[10, 1000],
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device=get_all_device_types(),
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dtype=[
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torch.bool,
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torch.int8,
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torch.uint8,
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torch.int16,
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torch.int32,
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torch.int64,
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torch.half,
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torch.float,
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torch.double,
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],
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tags=["long"],
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)
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class Fill_Benchmark(op_bench.TorchBenchmarkBase):
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def init(self, N, device, dtype):
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self.inputs = {"input_one": torch.zeros(N, device=device).type(dtype)}
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self.set_module_name("fill_")
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def forward(self, input_one):
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return input_one.fill_(10)
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op_bench.generate_pt_test(fill_short_configs + fill_long_configs, Fill_Benchmark)
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if __name__ == "__main__":
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op_bench.benchmark_runner.main()
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