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). This is often a means of telling the library: "give me a tensor which has these numerous columns so you compute the right amount of rows that is essential to make this transpire".
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. A person essential detail to note is the fact that we are able to only use an individual -1 in the shape tuple. The remaining values really should be explicitly provided by us. Else PyTorch will complain by throwing a RuntimeError:
Detect that the returned tensor shares a similar information. In case you come up with a improve inside the "view" that you are changing the original tensor's knowledge:
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How you can restructure the output tensor of the cnn layer to be used by a linear layer in a simple pytorch product three
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