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PyTorch tensor advanced indexing. You can specify the corresponding row index as: import torch x = torch.tensor([[1, 2, 3], [4, 5, 6], [7, 8, ...

27.02.2019 · For index tensors containing only zeros and ones that would mean, that I would only ever access the first and second image in the batch. However, my test runs showed colors for the entire batch. But then, wouldnt this indexing behaviour contradict the by you before mentioned way how indexing works?

Suppose that tensor A is defined as: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 I'm trying to extract a flat array out of this matrix by using another tensor as indices ...

A more elegant (and simpler) solution might be to simply cast b as a tuple: a[tuple(b)] Out[10]: tensor(5.) I was curious to see how this ...

I have: inp = torch.randn(4, 1040, 161). and I have another tensor called indices with values: tensor([[124, 583, 158, 529], [172, 631, 206, 577]], ...

12.09.2018 · This is probably a very basic question but i’m having a hard time finding a solution. Suppose I have a tensor of size 100 * 5 * 3 (batch_size * seq_len * distinct_class_probs) I need to index dim=2 (distinct_class_probs) with a tensor. So I want something like in each batch, for each token in a sequence, return the probability of a particular class. Which class probability to return …

11.03.2021 · Hi, I usually index tensors with lists of indices, like x = torch.as_tensor([[1,2,3,4,5], [6,7,8,9,0]]) index = [[0, 1, 1], [1, 1, 2]] # tensor([2, 7, 8]) x[index] Now I need index to be a tensor object, but doing this, I get an error: x = torch.as_tensor([[1,2,3,4,5], [6,7,8,9,0]]) index = torch.as_tensor( [[0, 1, 1], [1, 1, 2]]) # IndexError: index 2 is out of bounds for dimension 0 with ...

Here you go (EDIT: you probably need to copy tensors to cpu using tensor=tensor.cpu() before doing following operations): index = tensor([[124, 583, 158, ...

This function can be used to copy some indices to a tensor taking values from another tensor. To avoid the errors, remember: The dim'th ...

This is probably a very basic question but i'm having a hard time finding a solution. Suppose I have a tensor of size 100 * 5 * 3 ...

15.01.2020 · Indexing a tensor with another tensor vs an array - PyTorch Forums What is the exact reason for treating tensors and (numpy) arrays differently for indexing of tensors? indices = torch.tensor([[0, 1], [0, 2]]) t = torch.arange(1,28).reshape(3,3,3) # tensor([[[ 1, 2, 3],…

Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers ,and I have another tensor called indices ...

torch.index_select(input, dim, index, *, out=None) → Tensor Returns a new tensor which indexes the input tensor along dimension dim using the entries in index which is a LongTensor. The returned tensor has the same number of dimensions as the original tensor ( input ).

I think there is no direct translation from list.index() to a pytorch function. However, you can achieve similar results using tensor==number and then the ...