Importerror: cannot import name 'container_abcs' from 'torch.

One such error we encounter is the “ImportError: cannot import name ‘container_abcs’ from ‘torch._six’.”

It is typically normal when working with Python and machine learning frameworks like Torch.

This error typically occurs when there are issues with the Torch library or its dependencies.

Knowingly, in this article, we will explore the causes behind this error and provide solutions to resolve it effectively.

What is cannot import name container_abcs from torch._six?

The ImportError: cannot import name ‘container_abcs’ from ‘torch._six’ is an error that can occur when using PyTorch.

It seems that there is an issue with import statements and timm library.

Additionally, this error occurs when there is a compatibility issue between the version of PyTorch being used and the code that is being run.

Also, when using an older version of PyTorch with code that was developed for a newer version or vice versa.

It can also occur when using certain libraries, such as the timm library, with an incompatible version of PyTorch.

How to fix Importerror: cannot import name ‘container_abcs’ from ‘torch._six’

In fixing this error there are a few solutions you can consider:

1. Correct Import Statements

One way to fix the error is to replace import statements. You’ll need to change it from:

from torch._six import container_abcs

To this import statements

import collections.abc as container_abcs

2. Install specific version of timm

Also, might clear the error by installing the specific library which is compatible to Pytorch.

For instance, you can use the following command to install:

!pip install timm==0.3.2

Or you can try this one too.

!pip install timm==0.4.12

3. Check or Update Pytorch version

Another thing is to check the version of PyTorch you are using and make sure it is compatible with the code you are trying to run.

You can update PyTorch to a newer version if necessary.

In order to check the version of PyTorch you have installed by running the following command in your Python environment:

import torch
print(torch.__version__)

The expected output of this code will be the printed version of Pytorch installed on your system.

On the other hand, you’ll need also to update Pytorchh especially if required.

To this run the following command on your environment:

pip install --upgrade torch

However, if you are using Anaconda you can update PyTorch by running the following command:

conda update pytorch

It is important to note to check the PyTorch website for the latest installation instructions and for information on which version of PyTorch is compatible with your system.

Besides, here are other fixed errors, which might help you when encountering them.

Conclusion

To sum up, “ImportError: cannot import name ‘container_abcs’ from ‘torch._six'” error can be resolved by understanding the causes and following the recommended solutions mentioned in this article.

Remember to keep your Torch and Torch._six versions up to date, follow the correct installation procedures, and pay attention to version compatibility.

By adopting best practices and troubleshooting techniques, you can overcome import errors and continue your machine learning projects smoothly.

I think that’s all for this error. I hoped this article has helped you fix the issue.

Until next time! 😊