December 2018
Intermediate to advanced
158 pages
3h 58m
English
Content preview from Deep Learning with PyTorch Quick Start Guide
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Slicing and indexing and reshaping
torch.Tensor have most of the attributes and functionality of NumPy. For example, we can slice and index tensors in the same way as NumPy arrays:
Here, we have printed out the first element of x, written as x0, and in the second example, we have printed out a slice of the second element of x; in this case, x11 and x12.
If you have not come across slicing and indexing, you may want to look at this again. Note that indexing begins at 0, not 1, and we have kept our subscript notation consistent with this. Notice also that the slice [1][0:2] is the elements x10 and x11, inclusive. It excludes the ending index, ...
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