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a perform - you utilize it x.shape. So It is really helpful for getting the two of these in pytorch. Should you arrived from numpy It could be good to employ the same features.

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If you merely wish to reshape tensors, use torch.reshape. For anyone who is also worried about memory utilization and want to ensure that the two tensors share precisely the same information, use torch.view.

@BalusC Pleasant solution, but whether it is within Another form (parent sort), then urgent this button redirects to address from the parent's sort motion attribute.

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To make certain that The brand new tensor usually shares its facts with the initial, torch.view imposes some contiguity constraints within my sources the designs of The 2 tensors [docs].

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