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Here the thing is PyTorch tends to make a tensor by converting an fundamental block of contiguous memory into a matrix-like item by incorporating a form and stride attribute:
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d. To go to find out Related Site within an official or professional capacity: visited the dentist; a priest visiting his parishioners.
You have to flatten this to give it to the fully connected layer. And that means you inform PyTorch to reshape the tensor you received to obtain specific quantity of columns and tell it to come to a decision the number of rows by itself.
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By making use of a -1, we are being lazy in doing the computation ourselves and alternatively delegate the task to PyTorch to perform calculation of that price for the shape when it creates The brand new view