Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about **How Pytorch Tensor get the index of specific value** **in Python**. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

## How Pytorch Tensor get the index of specific value?

**How Pytorch Tensor get the index of specific value?**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`nonzero()`

function. For example:**Pytorch Tensor get the index of specific value**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`nonzero()`

function. For example:

## Method 1

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 `nonzero()`

function. For example:

t = torch.Tensor([1, 2, 3]) print ((t == 2).nonzero(as_tuple=True)[0])

This piece of code returns

1

[torch.LongTensor of size 1×1]

## Method 2

For multidimensional tensors you can do:

(tensor == target_value).nonzero(as_tuple=True)

The resulting tensor will be of shape `number_of_matches x tensor_dimension`

. For example, say `tensor`

is a `3 x 4`

tensor (that means the dimension is 2), the result will be a 2D-tensor with the indexes for the matches in the rows.

tensor = torch.Tensor([[1, 2, 2, 7], [3, 1, 2, 4], [3, 1, 9, 4]]) (tensor == 2).nonzero(as_tuple=False) >>> tensor([[0, 1], [0, 2], [1, 2]])

**Summery**

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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