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I experience a very good illustration (common case early on in pytorch prior to the flatten layer was official included was this prevalent code):
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A different attention-grabbing point one particular could observe from the strides tuples would be that the price of the click resources aspect during the 0th posture is equal to the worth on the element in the 1st position of the shape tuple.
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How you can restructure the output tensor of a cnn layer to be used by a linear layer in an easy pytorch product 3
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from the tensor, provided that The brand new form is appropriate with the shape of the original tensor. Let us have an understanding of this intimately using a concrete example.