The subject of view youramazonaccountorder tracking encompasses a wide range of important elements. python - What does `view ()` do in PyTorch? All that happens is that the method will do the math for you on how to fill that dimension. For example a.view(2, -1, 4) is equivalent to a.view(2, 2, 4). [16 / (2 x 4) = 2] Notice that the returned tensor shares the same data.
If you make a change in the "view" you are changing the original tensor's data: python Copy What does `-1` of `view()` mean in PyTorch? In this view x.view(-1) is a weird flatten layer but missing the squeeze (i.e. adding a dimension of 1). Another key aspect involves, adding this squeeze or removing it is usually important for the code to actually run.
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