srch

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

由于 index_select 函数只能针对输入张量的其中一个维度的一个或者多个索引号进行索引，因此可以通过 PyTorch 中的高级索引来实现。 获取 1D 张量 a 的第 1 个维度且索引号为 2 和 3 的张量子集: torch.index_select(a, dim = 0, index = torch.tensor([2, 3]))a[[2, 3]]；

We can change the value of dim to replace any dimension of our tensor. Also, if you give the same index multiple times, it will return the final ...

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.

Nov 19, 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).

May 12, 2020 · 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 torcha = torch.randn(10)b = a <= 0indices = b.nonzero() bests.

Indexing and slicing can help us quickly extract some data from tensors . 1. Basic index. PyTorch Support and Python and NumPy Similar to the ...

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 …

12.07.2021 · Conditional GAN (cGAN) in PyTorch and TensorFlow. Our last couple of posts have thrown light on an innovative and powerful generative-modeling technique known as Generative Adversarial Network (GAN). Yes, the GAN story started with the vanilla GAN. But no, it did not end with the Deep Convolutional GAN.

Dec 18, 2017 · 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. print ( (torch.abs ( (YOUR_VALUE-your_tensor))<0.0001).nonzero ()) Share.

torch.where. Return a tensor of elements selected from either x or y, depending on condition. The operation is defined as: The tensors condition, x, y must be broadcastable. Currently valid scalar and tensor combination are 1. Scalar of floating dtype and torch.double 2. Scalar of integral dtype and torch.long 3.

12.05.2020 · 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 indices = b.nonzero() bests 6 Likes Abueidda(Abu2Pytorch) May 12, 2020, 7:58am #3 Thanks, @Nikronic. This really solves it. Home

Jul 12, 2018 · I want to get the index of one thing in the other. I used to be converting it to python lists and work on that, but now I want to @script my function, and these list operations starts to become trouble. So I'm seeking for a neat pytorch solution.

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.

torch.where. Return a tensor of elements selected from either x or y, depending on condition. The operation is defined as: The tensors condition, x, y must be broadcastable. Currently valid scalar and tensor combination are 1. Scalar of floating dtype and torch.double 2. Scalar of integral dtype and torch.long 3.

I'm suggesting to add the following operator to pytorch: result = torch.find(tensor, from_) This operator outputs a long tensor of the same ...

06.08.2018 · How Pytorch Tensor get the index of specific value. 0. Pytorch Tensor - How to get the index of a tensor given a multidimensional tensor. Related. 6032. How do I merge two dictionaries in a single expression (take union of dictionaries)? …

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).

12.07.2018 · I want to get the index of one thing in the other. I used to be converting it to python lists and work on that, but now I want to @script my function, and these list operations starts to become trouble. So I'm seeking for a neat pytorch solution.

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

29.05.2020 · In Py T orch we can access elements in a tensor by it’s index. If we have, for example a tensor with 3 rows and 3 columns, we can access the first element by the index (0, 0), the last element of...

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.

Example 1: We take a zero vector 'x', te tensor of size(3,5) and index tensor. Accumulating the resultant vector along rows we get the ...

For those who don't know, PyTorch is a Python library with a wide variety of ... x: Elements from this tensor are selected for indices where Condition is ...