Attributeerror: module ‘tensorflow’ has no attribute ‘reduce_sum’

In this TensorFlow tutorial, I will show you how to fix the error Attributeerror: module ‘tensorflow’ has no attribute ‘reduce_sum’.

You will learn two ways to solve the error problem, especially since you will access the reduce_sum() function in Tensroflow in two ways.

Also, you will understand the multiple reasons that cause this kind of error.

Let’s begin,

Attributeerror: module ‘tensorflow’ has no attribute ‘reduce_sum’

The error Attributeerror: module ‘tensorflow’ has no attribute ‘reduce_sum’, meaning you want to access an attribute called ‘reduce_sum’ from the TensorFlow module. Still, Tensorflow does not recognize this attribute as part of its API.

There can be certain reasons for this error.

TensorFlow has undergone significant changes between versions. If you have written code for a different version of TensorFlow than the version you installed on your system, some functions or attributes might be missing or moved to different modules.

Another reason for this error can be simple typos or incorrect usage patterns.

To solve this error, you can follow the below steps:

First, you can check the TensorFlow version compatibility to make sure that the code you are running is compatible with the installed version of TensorFlow; if it is not compatible, you might need to update your code or Tensorflow to itself to match the version requirements.

When TensorFlow upgraded to TensorFlow version 2.x, many changes were made, such as moving functions or attributes to a different module or removing some of the functions or attributes.

READ:  TensorFlow Variable

So functions such as ‘reduce_sum’ are accessed through the TensorFlow API differently than in TensorFlow version 1.x. For example, in TensorFlow version 2.x, you can access the reduce_sum() function like this tensorflow.reduce_sum().

For example, look at the below code.

import tensorflow as tf

sum_output = tf.reduce_sum([16,0,24,78,0])

# Displaying result
print("Sum: ",sum_output)
First Solution to Attributeerror module 'tensorflow' has no attribute 'reduce_sum'

As you can see, it computed the reduced sum of the values in the list using the tf.reduce_sum() function. Here, directly access the reduce_sum() function from the TensorFlow module.

Another way is to you can access the reduce_sum() function from the submodule tf.math. For example, look at the below code.

import tensorflow as tf

sum_output = tf.math.reduce_sum([16,0,24,78,0])
# Displaying result
print("Sum: ",sum_output)
Second Solution to Attributeerror module 'tensorflow' has no attribute 'reduce_sum'

Again, using the reduce_sum() function to compute the sum of the elements in the list but accessing this function from the tf.math submodule.

These are the two ways to access the reduce_sum() function in TensorFlwo.

When migrating from one TensorFlwo version to another, you must remember a few things: always check the documentation for the function or attributes to adapt your code to the new API.

Also, if some of the functions or attributes are not working or are available in your installed version of TensorFlow, then you must upgrade to the TensorFlow version.

You can run the command below to upgrade the Tensorflow version from your terminal or command prompt.

pip install --upgrade tensorflow

Also, double-check your code for typographical errors in the TensorFlow function or attributes.

Following these steps, you can fix the error Attributeerror: module ‘tensorflow’ has no attribute ‘reduce_sum’.

Conclusion

In this tutorial, you learned how to fix the error Attributeerror: module ‘tensorflow’ has no attribute ‘reduce_sum’.

READ:  PyTorch Load Model + Examples

To solve that error, you learned that you could access the reduce_sum() function from the TensorFlow library directly or from the submodule tf.math.

Additionally, you learned about different reasons or mistakes that can cause this error, and you should avoid this kind of mistake.

You may like to read: