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How can I slice a PyTorch tensor with another tensor? Ask Question Asked 1 year, 8 months ago. Active 1 year, 8 months ago. Viewed 4k times 5 I have: inp = torch.randn(4, 1040, 161) and I have another tensor called indices with values: tensor([[124, 583, 158 ...

In PyTorch 1.5.0, tensors used as indices must be long, byte or bool tensors. The following is an index as a tensor of longs.

Slicing: Slicing means selecting the elements present in the tensor by using “:” slice operator. We can slice the elements by using the index of ...

index = tensor([[124, 583, 158, 529], [172, 631, 206, 577]], device='cuda:0') #create a concatenated list of ranges of indices you desire to slice indexer ...

Understanding Indexing, Slicing, and Numpy Bridges for Pytorch Tensors In this video, we'll learn about ...

Slices the self tensor along the selected dimension at the given index. This function returns a view of the original tensor with the given dimension removed.

The narrow method returns a narrowed version of the original tensor i.e., used to slice the tensors by defining the dim , start and length ...

Extracts a slice from a tensor.,np.s_[i:j] creates a slice object (simply a range) of indices from start=i to end=j.

15.09.2017 · If I have a tensor like x = torch.rand((3,4,8)) and I would like to slice ‘x’ in order to fit into y = torch.rand((2,3,4,4)). I am able to do slicing in 2D using torch.narrow or torch.select. But, I am really confused in the 3D. I really need to know this because I want to split up a bunch of patches. Thank you in advance.

18.07.2021 · In this article, we will discuss how to Slice a 3D Tensor in Pytorch. Let’s create a 3D Tensor for demonstration. We can create a vector by using torch.tensor() function