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Dec 18, 2017 · In python list, we can use list.index(somevalue). How can pytorch do this? For example: a=[1,2,3] print(a.index(2)) Then, 1 will be output. How can a pytorch tensor do this without converting it to a python list?

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 ...

03.02.2019 · I’m implementing an LSTM on audio clips of different sizes. After going through padding/packing, the output of the lstm is: a.shape = torch.Size([16, 1580, 201]) with (batch, padded sequence, feature). I also have a list of the actual lengths of the sequences: lengths = [1580, 959, 896, 881, 881, 881, 881, 881, 881, 881, 881, 881, 881, 335, 254, 219]. What I would …

25.12.2021 · Constructing a tensor by taking mean over index list of another tensor. I’m looking for a faster method to do a specific operation (i.e., mean of specified indices) on a given tensor. To be more specific, let’s say I have a tensor A with the shape of [B, N, D], with N being the batch size which is 1 in my case, N being the number of nodes ...

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).The dim th dimension has the same size as the length of index; other dimensions have …

PYTHON : Convert PyTorch tensor to python list [ Gift : Animated Search Engine : https://bit.ly/AnimSearch ] PYTHON : Convert PyTorch tensor to python list ...

Why? Because each element in the list represents the row from source as we move column by column. Therefore, index = torch.tensor([[ ...

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.

I have a tensor T of shape (x, y) and a list L of shape (x), ... gives a tensor of shape (x, x), where every element of L indexes every row.

Nov 17, 2018 · I have a tensor T of shape (x, y) and a list L of shape (x), containing numbers [0, y). I want to have a tensor of shape (x), where each the ith element is T[i, L[i]]. I need this to be differentiable, and ideally with only pure torch operations and without loops. Apparently, T[:, L] gives a tensor of shape (x, x), where every element of L indexes every row. Currently, I’m using this ...

17.11.2018 · I have a tensor T of shape (x, y) and a list L of shape (x), containing numbers [0, y). I want to have a tensor of shape (x), where each the ith element is T[i, L[i]]. I need this to be differentiable, and ideally with only pure torch operations and without loops. Apparently, T[:, L] gives a tensor of shape (x, x), where every element of L indexes every row. Currently, I’m using …

Let's say I have a list of tensors ([A , B , C ] where each tensor of is of shape [batch_size X 1024]. I want to merge all the tensors into a single tensor in the following way : The first row in A is the first row in the new tensor, and the first row of B is the seocnd row in the new tensor, and the first row of C is the third row of the new tensor and so on and so forth.

In torch.tensor, we have 10 Index Operations based functions. index_add_; index_add; index_copy_; index_copy; index_fill_; index_fill ...

Sep 14, 2019 · This question already has answers here : How Pytorch Tensor get the index of specific value (8 answers) Closed 2 years ago. I have 2 Tensors named x and list and their definitions are below: x = torch.tensor (3) list = torch.tensor ( [1,2,3,4,5]) Now I want to get the index of element x from list. The expected output is an Integer:

Dec 25, 2021 · Constructing a tensor by taking mean over index list of another tensor. I’m looking for a faster method to do a specific operation (i.e., mean of specified indices) on a given tensor. To be more specific, let’s say I have a tensor A with the shape of [B, N, D], with N being the batch size which is 1 in my case, N being the number of nodes ...

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 ). The dim th dimension has the same size as the length of index; other dimensions have the same size as in the original tensor.

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 ...

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 …

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.

PyTorch is a python library developed by Facebook to run and train deep learning and machine learning algorithms. Tensor is the fundamental ...

a=[1,2,3] print(a.index(2)). Then, 1 will be output. How can a pytorch tensor do this without converting it to a python list? Asked By: Han Bing.

04.03.2018 · Indexing on axis by list in PyTorch. Ask Question Asked 3 years, 9 months ago. Active 3 years, 6 months ago. Viewed 933 times 0 I have ... Argmax indexing in pytorch with 2 tensors of equal shape. 1. Broadcasting element wise multiplication in pytorch.

06.01.2022 · I’m trying to backpropogate through a Tensor.index_add operation, but it breaks when index_add broadcasts vectors. Is this intended, or is this a bug in PyTorch? #The following code does NOT throw an error: m=torch.zeros(4) m.requires_grad=True i=[0,1,2,3] v=[6,7,8,9] i=torch.tensor(i).long() v=torch.tensor(v).float() v.requires_grad=True print(m) …

In numpy, this would be simply y = x[mask], but in PyTorch indexing tensors with lists is not (yet?) supported.,This solution is better.