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Yet another interesting issue one particular may well notice with the strides tuples would be that the worth of the element from the 0th position is equal to the value of your aspect inside the 1st position of the shape tuple.
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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 design 3
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If the new form results in more components than the first tensor, new factors will likely be uninitialized in memory.
I feel an excellent instance (frequent case early on in pytorch prior to the flatten layer was official extra was this popular code):
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