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How can we extend this to get batch indices? In this case, I'd want indices of values torch.Tensor([1, 2, 3]) all at once, not just ...

06.08.2018 · How about. In [1]: torch.nonzero ( (t == q).sum (dim=1) == t.size (1)) Out [1]: tensor ( [ [ 0], [ 3]]) Comparing t == q performs element-wise comparison between t and q, since you are looking for entire row match, you need to .sum (dim=1) along the rows and see what row is a perfect match == t.size (1).

12.07.2018 · result = torch. find ( tensor, from_) This operator outputs a long tensor of the same shape as the argument tensor, where the result [i,j,..] is the first index at vector from_ whose value is the same as tensor [i,j,..]. For example: a = torch. tensor ( [ 0, 10, 20, 30 ]) b = torch. tensor ( [ [ 0, 30, 5 ], [ 20, 1, 0 ]]) torch. find ( b, a)

19.11.2017 · I have a 1D Variable (LongTensor) and i want to find the indices of the elements with a given value (zero). Is there a way to do this efficiently in PyTorch? For instance, in order to get the indices of non-zero elements, i do this: non_zeros = torch.nonzero(lengths_c.view(-1).data).squeeze() I need the opposite of this (indices of zero elements).

29.12.2018 · 因为自己遇到了将 Tensor [1000,2] 截断为 [200,2] 的需求，故在网络上寻找对策。 先是看到了 tensor.gather() ， 确实是不错的函数，但为了此需求稍显复杂。终于发现了torch.index_select() ，好用到爆炸。献上官方文档的例子： >>> x = torch.randn(3, 4) >>> x tensor([[ 0.1427, 0.0231, -0.5414, -1.0009], [-0.4664,

for finding index of an element in 1d tensor/array Example mat=torch.tensor([1,8,5,3]). to find index of 5 five=5 numb_of_col=4 for o in range(numb_of_col): ...

Accumulating the resultant vector along rows we get the output. ... te = torch.tensor([[ 1 , 3 , 5 , 7 , 9 ],[ 1 , 3 , 5 , 7 , 9 ],[ 1 ...

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 ( …

How Pytorch Tensor get the index of specific value ; t = torch.Tensor([1, 2, 3]) print ((t == 2).nonzero(as_tuple=True)[0]) ​ ; (tensor == ...

indexing.Rmd. library ( torch) In this article we describe the indexing operator for torch tensors and how it compares to the R indexing operator for arrays. Torch’s indexing semantics are closer to numpy’s semantics than R’s. You will find a lot of similarities between this article and the numpy indexing article available here.

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 …

Dec 18, 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.

However, you can achieve similar results using tensor==number and then the nonzero() function. For example: t = torch.

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.

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 ...

04.01.2022 · This function is used to narrow the tensor. in other words, it will extend the tensor based on the input dimensions. Syntax: torch.narrow (tensor,d,i,l) where, tensor is the input tensor. d is the dimension to narrow. i is the starting index of the vector. l is the length of the new tensor along the dimension – d.

Does torch have a function that helps in finding the indices satisfying a condition? For instance, F = torch.randn(10) b = torch.index(F ...

12.05.2020 · torch uses same convention as numpy such for finding values or indices of particular tensor regarding specific condition. torch.whereand torch.nonzero What you can do is to apply your condition and get a binary mask of indices that match the condition and find the indices using torch.nonzero(). import torch a = torch.randn(10) b = a <= 0

torch::Tensor::index torch::Tensor::index_put_ ( link ) It’s also important to note that index types such as None / Ellipsis / Slice live in the torch::indexing namespace, and it’s recommended to put using namespace torch::indexing before any indexing code for convenient use of those index types.

For example: t = torch.Tensor([1, 2, 3]) print((t == 2).nonzero(as_tuple = True)[0]). load more v. 88%. for finding index of an element in ...

29.04.2019 · 问题 too many indices for tensor of dimension 1 具体的错误信息忘记截图，大概就是上面的意思，对应的错误代码如下 错误代码 # 下面代码是博主自己随意码的，具体要说一下怎么解决这种问题 import torch index = torch.tensor([20,10,25,39,5,12]) # 这些index的值，对应着point中的索引 point = torch.ones(2,40) # 然后用index中的 ...

[feature request] add `torch.find` to find the indices of values Issue , I'm suggesting to add the following operator to pytorch: result = torch.find(tensor, from_) This operator outputs a long tensor of the same shape Out-of-place version of torch.Tensor.index_add_(). tensor1 corresponds to self in torch.Tensor.index_add_(). index_copy_ (dim ...