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torch.masked_select(input, mask, *, out=None) → Tensor Returns a new 1-D tensor which indexes the input tensor according to the boolean mask mask which is a BoolTensor. The shapes of the mask tensor and the input tensor don’t need to match, but they must be broadcastable. Note The returned tensor does not use the same storage as the original tensor

Mar 12, 2019 · I think pytorch here is following same numpy behaviour, as @albanD mentioned: 1- When a boolean tensor / array is passed to index, it will perform a mask behaviour. 2- Both in pytorch and numpy, when providing a Python List it will assume as coordinates to grab:

I'm trying to slice a PyTorch tensor using a logical index on the columns. I want the columns that correspond to a 1 value in the index ...

12.03.2019 · I think pytorch here is following same numpy behaviour, as @albanD mentioned: 1- When a boolean tensor / array is passed to index, it will perform a mask behaviour. 2- Both in pytorch and numpy, when providing a Python List it will assume as coordinates to grab:

22.12.2021 · Indexing with boolean masks and ellipsis leads to inconsistent behavior. MWE: import torch t = torch.arange(12).view(3,2,-1) mask = torch.BoolTensor([[True, False ...

torch.index_select — PyTorch 1.10.0 documentation torch.index_select 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 ).

Tensor Indexing API¶. Indexing a tensor in the PyTorch C++ API works very similar to the Python API. All index types such as None / ... / integer / boolean / slice / tensor are available in the C++ API, making translation from Python indexing code to C++ very simple. The main difference is that, instead of using the []-operator similar to the Python API syntax, in the C++ API the …

torch.masked_select torch.masked_select(input, mask, *, out=None) → Tensor Returns a new 1-D tensor which indexes the input tensor according to the boolean mask mask which is a BoolTensor. The shapes of the mask tensor and the input tensor don’t need to match, but they must be broadcastable. Note

🐛 Describe the bug Indexing pytorch tensors behaves not the same as indexing numpy arrays. MWE that raises an IndexError: print('numpy arrays:') import numpy t = numpy.arange(2).reshape(1,1...

07.01.2018 · I want to create a tensor only containing boolean values. In Matlab that would be a = false(10,1) Stack Overflow. ... Since version 1.2.0 PyTorch supports boolean tensors. – midas. Aug 16 '19 at 11:10. ... Is a unique index required for a sequential (autoincrementing) ...

09.03.2018 · Hi, I’m trying to use properties of one tensor to select out values from another tensor and I think I want to use index_select. I’m getting an error, however, that I don’t know how to get around. Here’s a minimal working example: import torch from torch.autograd import Variable blah = Variable( torch.Tensor( [[ 1.1,2.2,3.3],[4.4,5.5,6.6]] ), requires_grad=True ) all_above10 = …

I would like to index a pytorch tensor with both a boolean mask and normal indices. Something like this: i = 2 j = 0 mask = torch.randn(480, ...

Single element indexing for a 1-D tensors works mostly as expected. Like R, it is 1-based. Unlike R though, it accepts negative indices for indexing from ...

I found a behavior that I could not completely explain in boolean indexing. While it works fine with a tensor >>> a = torch.tensor([[1,2],[3 ...

🐛 Describe the bug Indexing pytorch tensors behaves not the same as indexing numpy arrays. MWE that raises an IndexError: print('numpy arrays:') import numpy t = numpy.arange(2).reshape(1,1...

Indexing a Pytorch tensor is similar to that of a Python list. The pytorch tensor indexing is 0 based, i.e, the first element of the array has index 0. Accessing Tensor Elements You can access an element from the Pytorch tensor by specifying the index of the element. Syntax: tensor_name [index] Example

Tensor Indexing API¶. Indexing a tensor in the PyTorch C++ API works very similar to the Python API. All index types such as None / ... / integer / boolean / slice / tensor are available in the C++ API, making translation from Python indexing code to C++ very simple.

Numpy allows to index arrays with boolean pytorch tensors and usually behaves just like pytorch. However, for a dimension of size 1 a ...

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. import torch print(torch.

I'm trying to slice a PyTorch tensor using a logical index on the columns. I want the columns that correspond to a 1 value in the index vector.

19.04.2018 · In numpy, indexing with a list of booleans is equivalent to indexing with a boolean array, which means it performs masking. In PyTorch, the list of booleans is cast to a long tensor. I believe this discrepancy should be fixed. a = torch. rand ( 3, 3 ) print ( a ) 0.1041 0.6888 0.7988 0.9398 0.9151 0.7642 0.5340 0.4715 0.8128 [ torch.

Jan 08, 2018 · Since version 1.2.0 PyTorch supports boolean tensors. – midas. Aug 16 '19 at 11:10. ... Is a unique index required for a sequential (autoincrementing) id?

The Boolean arrays in Torch would typically come from Logical Operations on Tensors. Please let me know even if there's an alternate way to index 'x' based ...

18.12.2017 · For floating point tensors, I use this to get the index of the element in the tensor.. print((torch.abs((torch.max(your_tensor).item()-your_tensor))<0.0001).nonzero()) Here I want to get the index of max_value in the float tensor, you can also put your value like this to get the index of any elements in tensor.