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046e88a291
Rewrite Python built-in class `super()` calls. Only non-semantic changes should be applied. - #94587 - #94588 - #94592 Also, methods with only a `super()` call are removed: ```diff class MyModule(nn.Module): - def __init__(self): - super().__init__() - def forward(self, ...): ... ``` Some cases that change the semantics should be kept unchanged. E.g.:f152a79be9/caffe2/python/net_printer.py (L184-L190)f152a79be9/test/test_jit_fuser_te.py (L2628-L2635)Pull Request resolved: https://github.com/pytorch/pytorch/pull/94592 Approved by: https://github.com/ezyang, https://github.com/seemethere
29 lines
674 B
Python
29 lines
674 B
Python
# Usage: python create_dummy_model.py <name_of_the_file>
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import sys
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import torch
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from torch import nn
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class NeuralNetwork(nn.Module):
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def __init__(self):
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super().__init__()
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self.flatten = nn.Flatten()
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self.linear_relu_stack = nn.Sequential(
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nn.Linear(28 * 28, 512),
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nn.ReLU(),
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nn.Linear(512, 512),
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nn.ReLU(),
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nn.Linear(512, 10),
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)
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def forward(self, x):
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x = self.flatten(x)
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logits = self.linear_relu_stack(x)
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return logits
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if __name__ == '__main__':
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jit_module = torch.jit.script(NeuralNetwork())
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torch.jit.save(jit_module, sys.argv[1])
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