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https://github.com/pytorch/pytorch.git
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f3ddc08ddc
The list of added operators: add_, addcmul, arange, baddbmm…, bmm, clamp, div, div_, gelu, index_add, logical_and, mul_, sub_, topk, where This pull request is the same as a previous one: https://github.com/pytorch/pytorch/pull/145121 which inadvertently got deleted while merging. Pull Request resolved: https://github.com/pytorch/pytorch/pull/145625 Approved by: https://github.com/jeffdaily
49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
import operator_benchmark as op_bench
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import torch
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"""Microbenchmarks for arange operator"""
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# Configs for PT stack operator
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configs_short = op_bench.config_list(
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attr_names=["start", "end", "step"],
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attrs=[
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[0, 1000, 2.5],
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[-1024, 2048, 1],
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],
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cross_product_configs={"device": ["cpu"], "dtype": [torch.float]},
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tags=["short"],
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)
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configs_long = op_bench.cross_product_configs(
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start=[-1024, 8],
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end=[16, 2048],
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step=[8, 0.1],
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device=["cpu", "cuda"],
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dtype=[torch.float, torch.bfloat16],
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tags=["long"],
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)
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class ArangeBenchmark(op_bench.TorchBenchmarkBase):
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def init(self, start, end, step, dtype, device):
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self.inputs = {
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"start": start,
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"end": end,
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"step": step,
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"dtype": dtype,
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"device": device,
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}
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self.set_module_name("arange")
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def forward(self, start, end, step, dtype, device):
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return torch.arange(start=start, end=end, step=step, dtype=dtype, device=device)
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op_bench.generate_pt_test(configs_short + configs_long, ArangeBenchmark)
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if __name__ == "__main__":
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op_bench.benchmark_runner.main()
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