Deep Learning with PyTorch

Slicing tensors

A common thing to do with a tensor is to slice a portion of it. A simple example could be choosing the first five elements of a one-dimensional tensor; let's call the tensor sales. We use a simple notation, sales[:slice_index] where slice_index represents the index where you want to slice the tensor:

sales = torch.FloatTensor([1000.0,323.2,333.4,444.5,1000.0,323.2,333.4,444.5])sales[:5] 1000.0000  323.2000  333.4000  444.5000 1000.0000[torch.FloatTensor of size 5]sales[:-5] 1000.0000  323.2000  333.4000[torch.FloatTensor of size 3]

Let's do more interesting things with our panda image, such as see what the panda image looks like when only one channel is chosen and see how to select the face of the panda.

Here, we select only one ...