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221350e3a4
Pull Request resolved: https://github.com/pytorch/pytorch/pull/132352 Approved by: https://github.com/ezyang ghstack dependencies: #132335, #132351
31 lines
637 B
Python
31 lines
637 B
Python
import argparse
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import torch
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class Module(torch.nn.Module):
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def __init__(self) -> None:
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super().__init__()
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self.conv = torch.nn.Conv2d(1, 10, 5, 1)
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def forward(self, x):
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y = self.conv(x)
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return y
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def run_model(level):
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m = Module().eval()
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d = torch.rand(1, 1, 112, 112)
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with torch.backends.mkldnn.verbose(level):
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m(d)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--verbose-level", default=0, type=int)
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args = parser.parse_args()
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try:
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run_model(args.verbose_level)
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except Exception as e:
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print(e)
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