Fix Cannot Import get_config TensorFlow (2026)

If you’ve been using Python for a while, chances you have come across the error Importerror: cannot import name get_config from tensorflow.python.eager.context.

Here is how this error occurs:

from tensorflow.python.eager.context import get_config

config = get_config()

Output:

Importerror: cannot import name get_config from tensorflow.python.eager.context

In this article, we will explore the different causes of this error and provide you with effective solutions to fix it.

What is cannot import name get_config from tensorflow.python.eager.context?

This importerror: cannot import name getconfig from tensorflow.python.eager.context is an error when keras module has incompatibility.

Apparently, keras itself is an independent deep-learning library, and tensorflow 2.x+ is the one that maintains the keras subpackage.

On the other hand tensorflow 1.x is more difficult syntax along with keras which is a high-level library.

All in all Tensorflow over keras was more controlled in deep neural layers and respective session variables.

Possible Causes

There are a number of different things that can cause this error message to appear. Some of the most common causes include:

An incompatible version of TensorFlow
A corrupted or incomplete installation of TensorFlow
Missing dependencies
Conflicting libraries or packages

Now let’s proceed to solutions…

Importerror: cannot import name get_config from tensorflow.python.eager.context – Solutions

At times we encounter the error because of conflicting modules, the best way is to update all submodules.

Here are the following solutions:

1. Upgrade tensorflow module

One way to fix the error is to upgrade tensorflow module.

Here is the command you can try:

pip install --upgrade tensorflow
pip install --upgrade tensorflow-gpu

2. Update Import statement

Another way is to update your import statement and replace the right package.

So from this import statement:

from keras.preprocessing import image

To this import statement using the tensorflow.keras.preprocessing.

from tensorflow.keras.preprocessing import image

3. Update keras module

Alternatively, when keras module is used in place of tensorflow then we should update the keras module. I suggest having 2.3.1+ version of Keras is way better.

pip install keras==2.3.1

Anyway here are some other fixed errors wherein you can refer to try when you might face these errors:

Conclusion

In conclusion, Importerror: cannot import name get_config from tensorflow.python.eager.context is an error when keras module has incompatibility. To fix this error update all conflicting module as well as their submodules.

I hope this article has helped you fix the error.

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 →