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Reshape a tensor using Pytorch

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by vsasikalabe dot icon Updated: Apr 7, 2023

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The "reshape" function is available in TensorFlow. This function will return a new tensor. We will have the same values as the tensor in the same order, but the shape will differ. To change the shape with the same data, the Reshaping method is used. The number of elements remains the same. So, it returns the same data but with different specified dimension sizes.


We have to import the torch library of Python. Based on the Torch library of the Python programming language, PyTorch is an open-source machine learning (ML) framework. We can use a torch.rand() function to create a random tensor with a specific shape. This function returns a tensor with random values. In PyTorch, we have to use a torch to initialize random numbers.rand() function. The output will be random numbers generated in the specified shape. It follows the variable argument that defines uniform distribution on the interval and the tensor shape. x. shape[0] will return the number of rows in an array. The print(x.shape) will print the torch size.


Here is an example of how to reshape a tensor in Pytorch:

Preview of the output that you will get on running this code from your IDE.

Code

In this solution, we used torch library.

Change shape of pytorch tensor

Lines of Code : 12dotLicense : Strong Copyleft (CC BY-SA 4.0)

import torch

x= torch.rand(6000, 30, 30, 9)
print(x.shape) #torch.Size([6000, 30, 30, 9])
x=x.view(6000,-1) # or x= x.view(x.size(0),-1)
print(x.shape) #torch.Size([6000, 8100])

x= torch.rand(6000, 30, 30, 9)
print(x.shape) #torch.Size([6000, 30, 30, 9])
x=x.reshape(6000,-1) # or x= x.reshape(x.size(0),-1)
print(x.shape) #torch.Size([6000, 8100])

Instructions

Follow the steps carefully to get the output easily.

  1. Download and Install the PyCharm Community Edition on your computer.
  2. Open the terminal and install the required libraries with the following commands.
  3. Install torch - pip install torch.
  4. Create a new Python file on your IDE.
  5. Copy the snippet using the 'copy' button and paste it into your Python file.
  6. Run the current file to generate the output.


I hope you found this useful. I have added the link to dependent libraries, and version information in the following sections.


I found this code snippet by searching for ' Change shape of pytorch tensor ' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2022.3.
  2. The solution is tested on Python 3.11.1
  3. torch version- 2.0.0


Using this solution, we are able to reshape a tensor in Pytorch with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to reshape a tensor in Pytorch.

Dependent Libraries

pytorchby hughperkins

Python doticonstar image 424 doticonVersion:v4.1.0doticon
License: Permissive (BSD-2-Clause)

Python wrappers for torch and lua

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            pytorchby hughperkins

            Python doticon star image 424 doticonVersion:v4.1.0doticon License: Permissive (BSD-2-Clause)

            Python wrappers for torch and lua
            Support
              Quality
                Security
                  License
                    Reuse

                      If you do not have the pytorch library that is required to run this code, you can install them by clicking on the above link.

                      You can search for any dependent library on kandi like pytorch.

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