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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
109 lines
2.3 KiB
Python
109 lines
2.3 KiB
Python
import operator_benchmark as op_bench
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import torch
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import torch.nn as nn
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"""
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Microbenchmarks for the softmax operators.
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"""
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# Configs for softmax ops
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softmax_configs_short = op_bench.config_list(
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attr_names=["N", "C", "H", "W"],
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attrs=[
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[1, 3, 256, 256],
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[4, 3, 256, 256],
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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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softmax_configs_long = op_bench.cross_product_configs(
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N=[8, 16],
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C=[3],
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H=[256, 512],
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W=[256, 512],
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device=["cpu", "cuda"],
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tags=["long"],
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)
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softmax_ops_list = op_bench.op_list(
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attr_names=["op_name", "op_func"],
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attrs=[
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["Softmax", nn.Softmax],
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["Softmax2d", nn.Softmax2d],
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["LogSoftmax", nn.LogSoftmax],
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],
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)
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softmax_two_dims_ops_list = op_bench.op_list(
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attr_names=["op_name", "op_func"],
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attrs=[
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["Softmax", nn.Softmax],
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["LogSoftmax", nn.LogSoftmax],
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],
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)
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softmax_two_dims_configs = op_bench.config_list(
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attr_names=["M", "N", "dim"],
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attrs=[
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[700, 23258, 0],
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[700, 23258, 1],
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[1024, 23258, 1],
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[128, 128, 1],
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[48, 128, 1],
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[16, 1024, 1],
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[32, 1024, 1],
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[48, 1024, 1],
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[16, 512, 1],
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[32, 512, 1],
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[48, 512, 1],
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[16, 256, 1],
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[32, 256, 1],
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[48, 256, 1],
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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=["long"],
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)
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class SoftmaxBenchmark(op_bench.TorchBenchmarkBase):
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def init(self, N, C, H, W, device, op_func):
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self.inputs = {"input": torch.rand(N, C, H, W, device=device)}
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self.op_func = op_func()
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def forward(self, input):
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return self.op_func(input)
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class Softmax2DimsBenchmark(op_bench.TorchBenchmarkBase):
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def init(self, M, N, dim, device, op_func):
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self.inputs = {"input": torch.rand(M, N, device=device)}
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self.op_func = op_func(dim=dim)
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def forward(self, input):
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return self.op_func(input)
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op_bench.generate_pt_tests_from_op_list(
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softmax_ops_list, softmax_configs_short + softmax_configs_long, SoftmaxBenchmark
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)
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op_bench.generate_pt_tests_from_op_list(
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softmax_two_dims_ops_list, softmax_two_dims_configs, Softmax2DimsBenchmark
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)
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if __name__ == "__main__":
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op_bench.benchmark_runner.main()
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