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I feel a fantastic case in point (frequent scenario early on in pytorch ahead of the flatten layer was official included was this popular code):

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Here the thing is straight from the source PyTorch will make a tensor by converting an underlying block of contiguous memory into a matrix-like object by incorporating a form and stride attribute:

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a : a short remain : call b : a short residence as a guest c : an prolonged stay : sojourn

@MaxB Not like reshape, The brand new tensor returned by "view" shares the fundamental information with the first tensor, so it is really a view to the aged tensor as a substitute of creating a brand-new just one.

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The new condition really should be appropriate with the initial shape. If an integer, then The end result will likely be a 1-D variety of that size. A single condition dimension can be -one. In this case, the worth is inferred through the length with the array and remaining dimensions.

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