In this Python tutorial, we will discuss the error “import error no module named TensorFlow“. Here we’ll cover the reason related to this error using Python. And we’ll also cover the following topics:
- Import error no module named tensorflow.compat.v1
- Import error no module named ‘tensorflow.contrib’
- Import error no module named tensorflow_hub
- Import error no module named ‘tensorflow addons’
- Import error no module named ‘tensorflow.python.eager’
Import error no module named TensorFlow
- In this section, we will discuss the error import error no module named TensorFlow in Python.
- Basically, this error message comes when we do not import the TensorFlow library or we can say the TensorFlow library is not installed in our system.
- If you have not installed the TensorFlow library in your system and still want to try importing the TensorFlow library in your program then it will raise an error message ‘no module named TensorFlow.
Example:
import tensorflow as tf
tens1 = tf.Variable([[67, 89],[23, 45]])
tens2 = tf.Variable([[94, 117],[189, 210]])
new_output= tf.add(tens1,tens2)
print(new_output)
In the above code, we have used the tf.add() function and within this function, we assigned the given tensors ‘tens1’ and ‘tens2’ as an argument.
Here is the Screenshot of the following given code.
Now let’s see the solution for this error:
Visual Code Studio
If you have installed Visual code Studio then it will use a pip environment and if you want to import some needed libraries then you have to install via command.
- install TensorFlow using pip command
Syntax:
Here is the Syntax of the installation of the TensorFlow library
pip install TensorFlow
This Syntax will help you to resolve the error ‘no Module named TensorFlow’
Jupyter
If you have installed Jupyter notebook then use the Conda environment. To get detailed information regarding how to install the TensorFlow library in the Conda environment. You can refer to our detailed article TensorFlow in Python.
Also, check: TensorFlow Sparse Tensor
Import error no module named ‘tensorflow.contrib’
- Here we are going to discuss the error import error no module named ‘TensorFlow.contrib’.
- Basically, the contrib module is not available in TensorFlow version 2.0. This module contains contributed code and it is also a volatile code.
- The possible reason behind this error is when the interpreter cannot locate the contrib ‘module’ in the library.
- The latest version of TensorFlow 2.x has removed the session and contrib module from the TensorFlow library.
Reason: module ‘contrib’ is not working in version 2.x
Example:
import tensorflow.contrib
Here is the Screenshot of the following given code
In the following given code, we have just imported the ‘TensorFlow.contrib’ module but when we executed this command it displays the No module named ‘TensorFlow.contrib’. The possible reason is this module does not work in the latest version of TensorFlow 2.x.
Let’s discuss the solution to this error
- First, uninstall the already installed version, if it is the latest version then reinstall it with the older version. To uninstall the tensorflow 2.x you can easily use the command pip uninstall TensorFlow.
- Now to install older version of TensorFlow 1.x you can use below command
pip install tensorflow==1.15.0
Read: Python TensorFlow reduce_sum
Import error no module named tensorflow.compat.v1
- In this section, we are going to discuss the error no module named tensorflow.compat.v1.
- The possible reason behind this error is that compat.v1 modules are deprecated in Tensorflow version 1.12.0. This module will help the user to write the code in both TensorFlow versions.
- This module does not support the 1.12 version, if you want to execute this module on your system then you have to install the latest or above the 1.12 version.
Example:
Now we are going to use the updated version of TensorFlow for importing the TensorFlow.compat.v1 module in Python
To install the new version of TensorFlow in Conda prompt you can use the below command
conda install tensorflow==2.6
As you can see in the Screenshot we have checked the version of TensorFlow it displays 2.6 latest version and also successfully imported the TensorFlow.compat.v1.
Also, check: Module ‘TensorFlow’ has no attribute ‘session’
Import error no module named ‘tensorflow_hub’
- In this Program, we will discuss the error no module named ‘tensorflow_hub’ in Python.
- Basically, this error message comes when the module ‘tensorflow_hub’ is not available in the TensorFlow library package.
Example:
As you can see in the Screenshot it displays no module name ‘tensorflow_hub’ the reason behind this is we are using the older version of TensorFlow 1.14. In this version, the tensorflow_hub module is not working.
Let’s have a look at the Solution to this error
To solve this error you have to install the latest version of TensorFlow in your system. By default 2.7 is a stable version and to install the updated version of TensorFlow, you can use the below command. This command is used for conda prompt users.
conda install tensorflow==2.7
Screenshot
In this Screenshot, you can see that we have installed the latest version of TensorFlow 2.7 and then import the tensorflow_hub module.
Read: TensorFlow Tensor to numpy
Import error no module named ‘tensorflow addons’
- In this section, we will discuss the error no module named ‘tensorflow addons’ in Python.
- Basically, the addon module is available in the latest TensorFlow version 2.7 but we have to update the ‘TensorFlow addons’ module. This module is not available in core Tensorflow and it also supports optimizers, metrics, and losses.
Screenshot
As you can see in the output, it displays no module name ‘tensorflow_addons’. And the possible reason is that the ‘tensorflow_addons‘ module is available in TensorFlow latest version 2.7. But we have to update the ‘tensorflow_addons’ module.
Let’s have a look at the Solution to this error
To solve this error you have to install the older version of TensorFlow in your system. By default 2.7 is a stable version but this module only does not work in the latest version 2.x.
Output:
To upgrade the ‘TensorFlow addons’ module you can easily use the below command
pip install tensorflow-addons
In the above code, we have imported the tensorflow_addons() module after upgrading the module.
Read: TensorFlow global average pooling
Import error no module named ‘tensorflow.python.eager’
- Here we are going to discuss the error no module named ‘tensorflow.python.eager’ in Python.
- When I was trying to import the ‘TensorFlow.python.eager’ module this error comes out in output. The reason behind that is the version of the TensorFlow library.
Let’s have a look at the Solution to this error
In this example, we have just imported the TensorFlow library and then checked the version by using the tf.__version__ command. After that, we have imported the ‘tensorflow.python.eager’ module. Once you will execute this code the output displays the module has been successfully imported.
Example:
Also, take a look at some more Python TensorFlow tutorials.
- Binary Cross Entropy TensorFlow
- Gradient descent optimizer TensorFlow
- Python TensorFlow Placeholder
- Convert list to tensor TensorFlow
- Module ‘tensorflow’ has no attribute ‘div’
- Module ‘tensorflow’ has no attribute ‘sparse_placeholder’
So, in this tutorial, we have solved the error “import error no module named TensorFlow“. Here we’ll cover the reason related to this error using Python. And we’ll also cover the following topics:
- import error no module named tensorflow.compat.v1
- import error no module named ‘tensorflow.contrib’
- import error no module named tensorflow_hub
- import error no module named ‘tensorflow addons’
- import error no module named ‘tensorflow.python.eager’
I am Bijay Kumar, a Microsoft MVP in SharePoint. Apart from SharePoint, I started working on Python, Machine learning, and artificial intelligence for the last 5 years. During this time I got expertise in various Python libraries also like Tkinter, Pandas, NumPy, Turtle, Django, Matplotlib, Tensorflow, Scipy, Scikit-Learn, etc… for various clients in the United States, Canada, the United Kingdom, Australia, New Zealand, etc. Check out my profile.