Attributeerror module ‘tensorflow’ has no attribute ‘summary’

In this TensorFlow tutorial, I will demonstrate to you how to fix the error Attributeerror module ‘tensorflow’ has no attribute ‘summary’ or module ‘tensorflow’ has no attribute ‘summary’.

The tf.summary is used for logging and visualization of various kinds of data while training and evaluating the machine learning model, and I used this attribute tf.summary in the code. After a few days, when I again began to train and evaluate the machine learning model, the above error appeared in my terminal.

The error was due to an update to the TensorFlow library, so I found a solution, which I explained in this tutorial.

Attributeerror module ‘tensorflow’ has no attribute ‘summary’

The error Attributeerror module ‘tensorflow’ has no attribute ‘summary’, which means the attribute ‘summary’ you are trying to access doesn’t exist in the tensorflow module.

There can be a few reasons behind that error; for example, the version of TensorFlow you are using can be the latest, and you may be trying to access the attribute ‘summary’ using the older code.

As you know, TensorFlow API changes, and the TensorFlow community made huge changes to the Tensorflow version 2.x.

Another reason can be how you try to access the attribute, such as accessing it from the incorrect module or path.

Finally, you may have a typo in your code; sometimes, the incorrect name of an attribute or function can cause this error.

There is a straightforward solution for the above error: know how to access the attribute ‘summary’ correctly. Look and execute the code below, which shows the correct way to access and use the attribute ‘summary’.

import tensorflow as tf

writer = tf.summary.create_file_writer('logs')
with writer.as_default():
tf.summary.scalar('my_metric', 0.5, step=1)
attributeerror: module 'tensorflow' has no attribute 'summary'

Look at the above picture; first, create the summary writer using the tf.summary.create_file_writer(‘logs’); in this line of code, tf.summary is used, which is the correct way to access the summary operation in TensorFlow version 2.x.

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Then, using this line of code tf.summary.scalar(‘my_metric’, 0.5, step=1) logging a scalar value.

So, in TensorFlow, you can directly access the ‘summary’ from the tensorflow.

This is how to resolve Attributeerror module ‘tensorflow’ has no attribute ‘summary’.

For more information about the attribute ‘summary’, visit the official documentation Module: tf.summary.

Attributeerror module ‘tensorflow’ has no attribute ‘scalar_summary’

This error ‘attributeerror module ‘tensorflow’ has no attribute ‘scalar_summary’’ is a variant of the error in the above section.

Again, this error means the attribute ‘scalar_summary’ doesn’t exist in the TensorFlow module.

Let me show you the code that generated this kind of error. To do so, execute the code below in your terminal.

import tensorflow as tf
tf.compat.v1.disable_eager_execution()
tf.compat.v1.reset_default_graph()   

new_scalar_value = tf.compat.v1.get_variable('x_scalar' , shape=[], initializer=tf.compat.v1.truncated_normal_initializer(mean=0, stddev=1))

new_summary_scalar = tf.scalar_summary(name='scaler_value_first', tensor=new_scalar_value )

new_initializer = tf.global_variables_initializer()

with tf.compat.v1.Session() as val:

    writer = tf.summary.FileWriter('./graphs', val.graph)
    for step in range(50):
        
        val.run(new_initializer)
        
        summary = val.run(new_summary_scalar)
        writer.add_summary(summary, step)
    print('Done with the new_scalar summary')
module 'tensorflow' has no attribute 'summary'

The above picture shows the error ‘Attributeerror module ‘tensorflow’ has no attribute ‘scalar_summary’. This error is generated due to this line: tf.scalar_summary(name=’ scaler_value_first’, tensor=new_scalar_value ).

In this line, we access the attribute scalar_summary from tf directly, but it doesn’t exist in TensorFlow version 2.x, because scalar_summary used to exist in the TensorFlow version before 0.12, but it has been moved to a new location in TensorFlow version 2.x.

So in the TensorFlow 2.x, you access as tf.summary.scalar(). The complete syntax of tf.sumary.scalar is given below.

tf.summary.scalar(
                  name, 
                  data, 
                  step=None,
                  description=None
                 )

Where parameters are:

  • name: Title of this summary. This name, plus any current name scopes, will be the summary tag for TensorBoard.
  • data: a real scalar number that can be converted to a float32 tensor.
  • step: It is an explicit int64 and monotonic step value for this summary. By default, it takes none value.
  • description: By default, it takes none value, and it is a long-form description for this summary.
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Change the code, which generates errors like this tf.summary.scalar(name=’ scaler_value_first’, data=new_scalar_value ).

So instead of accessing scalar_summary from tensorflow directly, access it like tf.summary.scalar()

This is how to fix the error ‘attributeerror module ‘tensorflow’ has no attribute ‘scalar_summary’’.

I hope you understand how to fix the errors Attributeerror module ‘tensorflow’ has no attribute ‘summary’ and Attributeerror module ‘tensorflow’ has no attribute ‘scalar_summary’.

Conclusion

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

To fix that error, you must access the attribute ‘summary’ like tf.summary. Additionally, you learned how to fix the error Attributeerror module ‘tensorflow’ has no attribute ‘scalar_summary’.

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