[Solved]Keras import package error: import error: cannot import name 'get_ config'

[Solved]Keras import package error: import error: cannot import name ‘get_ config’

Author: Amresh Mishra | Published On: March 6, 2024

Keras import package error: cannot import name ‘get_config’

Traceback (most recent call last):
  File "siameseNet.py", line 6, in <module>
    from keras.layers import Merge
  File "/usr/local/lib/python3.6/site-packages/keras/__init__.py", line 25, in <module>
    from keras import models
  File "/usr/local/lib/python3.6/site-packages/keras/models.py", line 19, in <module>
    from keras import backend
  File "/usr/local/lib/python3.6/site-packages/keras/backend.py", line 39, in <module>
    from tensorflow.python.eager.context import get_config
ImportError: cannot import name 'get_config'

Solution of Keras import package error :

pip install keras == 2.1.0 --force-reinstall

Introduction to Keras import package error

Ah, the joys of programming! One moment, you’re blissfully coding away, and the next, you’re hit with an error that makes you question your life choices. If you’ve ever faced the infamous “ImportError: cannot import name ‘get_config'” in Keras, you know exactly what I’m talking about. Fear not, fellow coder, for this guide is here to save the day.

In this article, we’ll explore the depths of this pesky error, understand why it happens, and, most importantly, learn how to fix it. And to keep things interesting, I’ll sprinkle in a bit of humor because, let’s face it, we all need a laugh when dealing with errors.

So, grab your favorite beverage, sit back, and let’s dive into the world of Keras and the notorious ‘get_config’ error.

[Solved]Keras import package error: import error: cannot import name 'get_ config'

What is Keras?

Before we jump into the error itself, let’s take a quick detour to understand what Keras is. Keras is an open-source software library that provides a Python interface for artificial neural networks. It acts as an interface for the TensorFlow library, simplifying the process of building and training deep learning models.

In simpler terms, Keras is like that friendly librarian who helps you find the books you need without making you feel dumb. It’s designed to be user-friendly, modular, and extensible, making it a popular choice among developers and researchers.

Understanding the Error: ImportError: cannot import name ‘get_config’

The Symptom

You’re working on a project, happily importing your Keras modules, when suddenly, the terminal smacks you with an error message:

ImportError: cannot import name 'get_config'

The Cause

This error typically occurs when there’s a compatibility issue between different versions of Keras, TensorFlow, or other dependencies. It’s like trying to fit a square peg into a round hole – no matter how hard you try, it just won’t work unless everything is aligned properly.

Why does this happen?

  1. Version Mismatch: Keras and TensorFlow are like the dynamic duo of the deep learning world. But if Batman (Keras) is from 2021 and Robin (TensorFlow) is from 2019, they might have trouble understanding each other.
  2. Deprecated Functions: The get_config function might have been moved, renamed, or deprecated in newer versions. It’s like your favorite coffee shop changing its menu – you have to figure out the new name for your usual order.
  3. Circular Imports: Sometimes, your imports can get stuck in a loop, causing a circular import issue. Imagine trying to hold a mirror in front of another mirror – things can get pretty confusing.

How to Fix the Error

Alright, let’s roll up our sleeves and fix this thing. Here are some tried and tested solutions to resolve the ‘get_config’ import error.

1. Check Your Versions

The first step is to check the versions of Keras and TensorFlow you’re using. Compatibility issues are often the root cause of import errors. Use the following commands to check the installed versions:

import keras

import tensorflow as tf

Once you know the versions, cross-check them with the Keras and TensorFlow compatibility matrix available on their official websites. If there’s a mismatch, you’ll need to update or downgrade accordingly.

# To upgrade TensorFlow
pip install --upgrade tensorflow

# To install a specific version of Keras
pip install keras==<desired_version>

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2. Update Your Imports

In some cases, the way you import modules might be causing the issue. Keras has undergone several updates, and some functions have been moved. Instead of importing directly from Keras, try importing from TensorFlow’s Keras module:

from tensorflow.keras import backend as K

This can help avoid conflicts and ensure that you’re using the latest, most stable versions of the functions.

3. Clear Your Cache

Sometimes, Python’s cache can cause issues with imports. Clearing the cache can help resolve these problems. Here’s how you can do it:

# Clear the cache
pip cache purge

# Reinstall the packages
pip install tensorflow keras

4. Check for Circular Imports

Circular imports can be a bit tricky to debug. If you suspect that your imports are causing a circular dependency, try restructuring your code. Instead of importing everything at the top, import modules only when you need them within functions.

5. Use Virtual Environments

Using a virtual environment can help isolate your project’s dependencies and avoid conflicts. Here’s how you can set up a virtual environment:

# Create a virtual environment
python -m venv myenv

# Activate the virtual environment
# On Windows
# On macOS/Linux
source myenv/bin/activate

# Install the required packages
pip install tensorflow keras

6. Consult the Documentation and Community

When in doubt, consult the official documentation or seek help from the community. The Keras and TensorFlow GitHub repositories and forums like Stack Overflow are great places to find solutions and get advice from fellow developers.


Q1: What is get_config used for in Keras?

get_config is a method used to retrieve the configuration of a Keras layer or model. It returns a dictionary containing the configuration, which can be useful for saving and loading models.

Q2: Why am I seeing this error only on my new machine?

This error might occur on a new machine if there’s a version mismatch or missing dependencies. Ensure that your new machine has the same environment setup as your old one.

Q3: Can I use Keras without TensorFlow?

Keras can be used with other backends like Theano or CNTK, but TensorFlow is the most commonly used backend. Ensure compatibility if you’re using an alternative backend.

Q4: What if none of the solutions work?

If none of the solutions work, try creating a minimal reproducible example and seek help from the community. Sometimes, specific issues require tailored solutions.


The “ImportError: cannot import name ‘get_config'” error in Keras can be a frustrating hurdle, but with a bit of patience and the right approach, it’s definitely solvable. By checking your versions, updating your imports, clearing the cache, and using virtual environments, you can resolve this error and get back to building amazing models.

Remember, every error is an opportunity to learn and grow as a developer. So, the next time you encounter an error, take a deep breath, grab a cup of coffee, and dive into the solution. Happy coding!

Additional Resources

  1. Keras Documentation: The official Keras documentation is a treasure trove of information and examples. Check it out here.
  2. TensorFlow Documentation: For all things TensorFlow, including Keras integration, visit the TensorFlow documentation here.
  3. Stack Overflow: When in doubt, ask the community. Stack Overflow is a great place to find answers and seek help. Visit Stack Overflow.
  4. GitHub: Check out the Keras and TensorFlow repositories on GitHub for the latest updates and issues. Visit Keras GitHub and TensorFlow GitHub.

And there you have it – a comprehensive guide to fixing the “ImportError: cannot import name ‘get_config'” error in Keras. Remember, coding is a journey filled with ups and downs, but with the right resources and a bit of humor, you can tackle any challenge that comes your way. Now, go forth and code with confidence!

Author: Amresh Mishra
Amresh Mishra is a passionate coder and technology enthusiast dedicated to exploring the vast world of programming. With a keen interest in web development, software engineering, and emerging technologies, Amresh is on a mission to share his knowledge and experience with fellow enthusiasts through his website, CodersCanteen.com.

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