Modulenotfounderror: No module named ‘torch’ ( Solved )

Pytorch is an open-source machine learning framework based on the Torch Library. If you are getting the error like modulenotfounderror: no module named ‘torch’ then this post is for you. In this entire tutorial, you will learn how to solve the issue of no module named ‘torch’ error.

What is a torch in Python?

Torch is an Open Source machine learning library that can perform scientific computations. You can also call it a Script language that is based on the Lua Programming Language. It has lots of algorithms for making deep learning tasks very easy.

Root Cause of modulenotfounderror: no module named ‘torch’

Most of the time you can get the ModuleNotFoundErrro when the package is not installed in the system. The root cause for getting the no module named ‘torch’ is that you have not installed the torch package in your system. If any code uses the torch module and you get the no module named torch error then it means the same package is not installed in your system.

import torch

Output

Solution of the No module named torch error

The solution to the No module named torch error is very easy. You have to install the torch package using the pip command. But make sure to check the version of the python before using the pip command.

If your system has a python 2. xx version then use the pip command otherwise use the pip3 command if the python version is 3. xx.

My system has python 3. xx version so I will use the pip3 command.

Open your command prompt or terminal and type the below command to install the torch package in your system.

pip3 install torch

Now if you run or use the torch module in your code then you will not get the modulenotfounderror: no module named ‘torch’ error. Also if you use the pip3 show torch then you will know the version of the Pytorch.

pip3 show torch

Conclusion

The torch python package allows you to build your own deep learning model. But if you are getting the no module named torch error then the above method will solve this error.

If you have implemented the above methods then you will not get the error.