- Trending Categories
- Data Structure
- Networking
- RDBMS
- Operating System
- Java
- iOS
- HTML
- CSS
- Android
- Python
- C Programming
- C++
- C#
- MongoDB
- MySQL
- Javascript
- PHP

- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who

# How to perform a permute operation in PyTorch?

**torch.permute()** method is used to perform a permute operation on a PyTorch tensor. It returns a view of the input tensor with its dimension permuted. It doesn't make a copy of the original tensor.

For example, a tensor with dimension [2, 3] can be permuted to [3, 2]. We can also permute a tensor with new dimension using **Tensor.permute()**.

## Syntax

torch.permute(input,dims)

### Parameters

**input**– PyTorch tensor.**dims**– Tuple of desired dimensions.

## Steps

Import the

**torch**library. Make sure you have it already installed.

import torch

Create a PyTorch tensor and print the tensor and the size of the tensor.

t = torch.tensor([[1,2],[3,4],[5,6]]) print("Tensor:\n", t) print("Size of tensor:", t.size()) # size 3x2

Compute

**torch.permute(input, dims)**and assign the value to a variable. It does not change the original tensor,**input**.

t1 = torch.permute(t, (1,0))

Print the resultant tensor and its size after the permute operation.

print("Tensor after Permuting:\n", t1) print("Size after permuting:", t1.size())

## Example 1

In the following Python program, the input tensor is of dimension [3,2]. We use dims = (1, 0) to permute the tensor with the new dimension [2,3].

# import the torch library import torch # create a tensor t = torch.tensor([[1,2],[3,4],[5,6]]) # print the created tensor print("Tensor:\n", t) print("Size of tensor:", t.size()) # perform permute operation t1 = torch.permute(t,(1,0)) # print the permuted tensor print("Tensor after Permuting:\n", t1) print("Size after permuting:", t1.size())

## Output

Tensor: tensor([[1, 2], [3, 4], [5, 6]]) Size of tensor: torch.Size([3, 2]) Tensor after Permuting: tensor([[1, 3, 5], [2, 4, 6]]) Size after permuting: torch.Size([2, 3])

## Example 2

In the following Python code, the input tensor size is [2,3,1]. We use **dims = (0,2,1)**. It gives a view of the input tensor with the dimension
[2,1,3].

# import torch library import torch # create a tensor t = torch.randn(2,3,1) # print the created tensor print("Tensor:\n", t) print("Size of tensor:", t.size()) # perform permute t1 = torch.permute(t, (0,2,1)) # print the resultant tensor print("Tensor after Permuting:\n", t1) print("Size after permuting:", t1.size())

## Output

Tensor: tensor([[[ 1.5285], [-0.2401], [ 0.2378]], [[ 0.4733], [-1.7317], [ 0.7557]]]) Size of tensor: torch.Size([2, 3, 1]) Tensor after Permuting: tensor([[[ 1.5285, -0.2401, 0.2378]], [[ 0.4733, -1.7317, 0.7557]]]) Size after permuting: torch.Size([2, 1, 3])

- Related Questions & Answers
- How to perform an expand operation in PyTorch?
- How to apply a 2D convolution operation in PyTorch?
- How to apply a 2D transposed convolution operation in PyTorch?
- How to perform in-place operations in PyTorch?
- Query in MongoDB to perform an operation similar to LIKE operation
- How to perform grep operation on all files in a directory?
- How to perform element-wise addition on tensors in PyTorch?
- How to perform element-wise subtraction on tensors in PyTorch?
- How to perform element-wise multiplication on tensors in PyTorch?
- How to perform element-wise division on tensors in PyTorch?
- Instructions to perform AND operation in 8085 Microprocessor
- Instructions to perform OR operation in 8085 Microprocessor
- Instructions to perform compare operation in 8085 Microprocessor
- Program to perform excel spreadsheet operation in Python?
- How to perform drag and drop operation in Selenium with python?