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xnew_from_cat = torch.cat((x, x, x), 1) print(f'{xnew_from_cat.size()}') print() # stack serves the same role as append in lists. i.e. it doesn't change the original # vector space but instead adds a new index to the new tensor, so you retain the ability # get the original tensor you added to the list by indexing in the new dimension
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