Modulenotfounderror: no module named tensorflow_addons is the common error that users of TensorFlow might encounter. Through the whole of this article, we will show you the solutions and reasons why this error occurs.
In addition to that, we will discuss what the error “no module named tensorflow_addons” means and how to fix it.Stick to this article because we will provide you the answer with a solution that will resolve your issue.
What is TensFlow Addons?
TensorFlow Addons is an open-source library that provides a wide range of advanced functionality for TensorFlow machine learning. Additional layers, metrics, losses, optimizers, and many more were included in it.
It needs to be installed properly because it is a separate library from the core TensorFlow distribution.
The TensorFlow Addons library is designed to be flexible and modular, which allows programmers and developers to easily integrate specific features into TensorFlow workflows.
What is the “modulenotfounderror: no module named tensorflow_addons”?
ModuleNotFoundError: No module named 'tensorflow-addons'
If you are trying to use or import a module named tensorflow-addons that does not exist in that environment, you will certainly encounter this error message: “Modulenotfounderror: no module named tensorflow_addons.”
This kind of error message implies that the TensorFlow Addons library is not installed on your system or Python was unable to find the library.
What are the causes why “modulenotfounderror: no module named tensorflow_addons” occurs?
- 1. The library is not installed
- You are just using the TensorFlow addons, but you haven’t installed the library on your system. You cannot install it directly into your code.
- Luckily, you can install TensorFlow add-ons by using pip, which is the Python package manager.
- 2. The TensorFlow Addons installed but in the incorrect location
- When you already installed TensorFlow Addons, but it is in the incorrect location, by the Python interpreter will unable to find it. Always make sure that you need to install TensorFlow Addons in the correct environment,
- 3. Your Python interpreter is not configured correctly
- When the Python interpreter is not configured properly, the TensorFlow Addons library is certainly unable to be found by the Python interpreter.
How to fix modulenotfounderror: No module named tensorflow_addons
When you encounter this error message: modulenotfounderror: no module named tensorflow_addons, you don’t have to worry because it is just a simple error and needs a simple solution.
Time needed: 2 minutes.
These are the simple and effective steps that you can take to resolve the issue. Open your command prompt or terminal and enter the following command:
- Install TensorFlow Addons
When you haven’t installed a TensorFlow Addons, you can install it by using pip.
pip install tensorflow-addons
When the installation of the tensorflow-addons python library was successfully done, the modulenotfounderror: no module named tensorflow_addons error will resolve.
- Check your installation location
Don’t forget to check if you have installed TensorFlow Addons in the correct environment or virtual environment. If ever you are using virtual environments, activate the correct environment before installing TensorFlow Addons.
- Update Python
Check and update your Python interpreter to see if it is up to date and if it is configured correctly. You can update your Python interpreter using the following command:
pip install –upgrade python
- Check your Python path:
It is to make sure that the Python interpreter is configured in the correct locations for external libraries. You can simply check your Python path by entering the following command:
import sys; print(sys.path)
Additional Solution for modulenotfounderror: No module named tensorflow_addons
If the above solutions do not resolve your issue, you can refer to the following command:
pip install --user tensorflow-addons==0.8.3 pip install --user tensorflow==2.2.0-rc3
By doing so, you can now able to import tensorflow_addons to your system.
Before you install Tensorflow-addons, kindly check the compatible version of your tensorflow-addons with your TensorFlow and Python version.
|2.9, 2.10, 2.11||3.7, 3.8, 3.9, 3.10||tfa-nightly|
|2.9, 2.10, 2.11||3.7, 3.8, 3.9, 3.10||tensorflow-addons-0.19.0|
|2.8, 2.9, 2.10||3.7, 3.8, 3.9, 3.10||tensorflow-addons-0.18.0|
|2.7, 2.8, 2.9||3.7, 3.8, 3.9, 3.10||tensorflow-addons-0.17.1|
|2.6, 2.7, 2.8||3.7, 3.8, 3.9, 3.10||tensorflow-addons-0.16.1|
|2.5, 2.6, 2.7||3.7, 3.8, 3.9||tensorflow-addons-0.15.0|
|2.4, 2.5, 2.6||3.6, 3.7, 3.8, 3.9||tensorflow-addons-0.14.0|
|2.3, 2.4, 2.5||3.6, 3.7, 3.8, 3.9||tensorflow-addons-0.13.0|
|2.3, 2.4||3.6, 3.7, 3.8||tensorflow-addons-0.12.1|
|2.2, 2.3||3.5, 3.6, 3.7, 3.8||tensorflow-addons-0.11.2|
|2.2||3.5, 3.6, 3.7, 3.8||tensorflow-addons-0.10.0|
|2.1, 2.2||3.5, 3.6, 3.7||tensorflow-addons-0.9.1|
|2.1||3.5, 3.6, 3.7||tensorflow-addons-0.8.3|
|2.1||2.7, 3.5, 3.6, 3.7||tensorflow-addons-0.7.1|
|2.0||2.7, 3.5, 3.6, 3.7||tensorflow-addons-0.6.0|
If you want to check your Python version, use the following command:
If you want to check your tensorflow version:
To install tensorflow-addons:
pip install tensorflow-addons==0.19.0
Finally, you can import tensorflow addons:
import tensorflow_addons as tfa
This comprehensive guide will help you resolve the issue when you encounter a modulenotfounderror: no module named tensorflow_addons in the easiest way possible.
This article provides you with various solutions that you can use to solve the errors that you encounter, especially when you are importing a module named tensorflow-addons.
We also have solutions if you encounter an error like modulenotfounderror: no module named ‘frontend’. You can also visit our website for additional information about Python errors and tutorials.
Thank you very much for continuing to read until the end of this article. In case you have more questions or inquiries, feel free to comment.