How to Install Pytorch in Pycharm ? : Only 3 Steps

Pytorch is an Open source machine learning library that was developed by the Social Giant Facebook. You can do many things using it, like NLP, computer vision and deep learning e.t.c. But one thing you should be aware that its computations are similar to Numpy. The only difference is that Pytorch uses GPU for computation and Numpy uses CPU. Thus makes it fast. Most of the beginners are unable to properly install Pytorch in Pycharm In this tutorial of “How” to you will know how to install Pytorch in Pycharm. Just follow the simple steps for the proper installing of Pytorch.

When you write import torch then you will see an error like the figure below (Red underline). It means Pytorch not installed in Pycharm. Follow the below steps for installing it.

pytorch installation error

Step 1: Click on Setting and click on Project: Your Project Name

Go to File>>Setting and click on Project: Your_project_name. There you will see two options. Project Interpreter and Project Structure.

pytorch project interpreter window

Step 2: Click on the Project Interpreter. There you will see all the installed packages. Pytorch is not there let’s install it.

project interpreter window

Step 3: Click on the “+” sign and search for the PyTorch. You will see it, and its description on the right side. Select it and click on Install Package.  This will install the Package. If an error comes then try to search for the torch and install it otherwise it is successfully installed.

If you are seeing the error like this “Error occurred when installing Package Pytorch“. Then you should install Pytorch through Pycharm Terminal.

Go to the Pyrcharm terminal and write the command

pip3 install https://download.pytorch.org/whl/cpu/torch-1.0.1-cp37-cp37m-win_amd64.whl

pytorch terminal installation

That’s all you have to do for installing Pytorch in Pycharm.

 

How to test or check if Pytorch is installed or not?

After installing the Pytorch, you can easily check its version. Just use the following code.

import torch as t
print(t.__version__)

You will see the version info.

torch version check

 

 
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