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_abcsTo this import statements
import collections.abc as container_abcs2. 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==0.3.2Or you can try this one too.
!pip install timm==0.4.123. 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.
- Importerror: cannot import name ‘_registermattype’ from ‘cv2.cv2’
- Importerror: no module named serial
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! 😊
Frequently Asked Questions
What is Python ImportError and what causes it?
ImportError is raised when an import fails for any reason. The most specific subtype is ModuleNotFoundError (no such module). Plain ImportError typically means the module exists but a name inside it can’t be imported, e.g. ‘cannot import name X from Y’ (X was renamed, removed, or moved between versions of Y). Common with library version mismatches.
How do I fix ‘cannot import name X from Y’?
Three steps: (1) Check the library version: pip show Y. (2) Check the changelog of Y, X may have been renamed or removed in a recent release. (3) Either pin to an older Y version (pip install Y==1.x.y) or update your code to the new import path. Common 2025-2026 examples: Werkzeug url_decode removed, Pillow ANTIALIAS renamed to LANCZOS.
Why does the import work in REPL but fail in script?
Two reasons. (1) Different Python interpreter: REPL uses one Python, your script uses another. Run python –version both times. (2) Different working directory: REPL is started where you have access to local modules, script is run from a different cwd. Add the project path to sys.path or use python -m to run as a module.
How do I avoid circular import errors?
Circular imports happen when module A imports B and B imports A at the top level. Three fixes: (1) Move one import inside the function that uses it (lazy import). (2) Restructure code so A and B both import from a third module C. (3) Use TYPE_CHECKING for type-hint-only imports: if TYPE_CHECKING: from a import X.
Where can I find more ImportError fixes?
Browse the ImportError reference hub for 67+ specific fixes (Flask, Werkzeug, Django, ML library versions). For missing-module cases see ModuleNotFoundError. For Python setup help see Python Tutorial hub.
Glay Eliver
Programmer & Technical Writer at PIES IT Solution
Glay Eliver is a programmer and writer at PIES IT Solution, author of over 600 tutorials at itsourcecode.com. Specializes in JavaScript tutorials, Microsoft Office how-tos (Excel, Word, PowerPoint), and Python error debugging covering ImportError, TypeError, AttributeError, ModuleNotFoundError, and JavaScript ReferenceError. Authored several of the site’s highest-traffic Excel and MS Office reference articles.
Expertise: JavaScript · MS Excel · MS Word · MS PowerPoint · Python · Python ImportError · Python TypeError · Python AttributeError · ModuleNotFoundError · JavaScript ReferenceError · Pygame · View all posts by Glay Eliver →