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soumithsoumith
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update tutorials for 0.4 (#223) (#224)
* Update beginner tutorials * Update rest tutorials * update q learning * format * rewrote part of fast neural transfer to add normalization and let it make much more sense * improve fast neural transfer code again
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‎advanced_source/c_extension.rst‎

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@@ -111,7 +111,6 @@ import your extension just like a regular python file.
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# main.py
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import torch
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import torch.nn as nn
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from torch.autograd import Variable
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from modules.add import MyAddModule
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class MyNetwork(nn.Module):
@@ -123,7 +122,7 @@ import your extension just like a regular python file.
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return self.add(input1, input2)
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model = MyNetwork()
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input1, input2 = Variable(torch.randn(5, 5)), Variable(torch.randn(5, 5))
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input1, input2 = torch.randn(5, 5), torch.randn(5, 5)
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print(model(input1, input2))
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print(input1 + input2)
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