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

When encountering the error “AttributeError: module ‘tensorflow’ has no attribute ‘contrib'”, it means that you are trying to access a module or attribute in TensorFlow that does not exist. In TensorFlow versions 2.0 and above, the ‘contrib’ package has been removed, causing such errors when trying to use modules from that package.

To resolve this issue, you need to update your code to use the alternative methods provided in TensorFlow 2.0+. The best approach is to find the equivalent functionality in the new TensorFlow API and make the necessary changes.

Here is an example to demonstrate how to update code that previously used ‘contrib’ in TensorFlow 1.x to work in TensorFlow 2.0+:

      
        # TensorFlow 1.x code using 'contrib'
        import tensorflow as tf

        x = tf.placeholder(tf.float32, shape=(None, 784))
        y = tf.layers.dense(x, units=10)
        ...

        # Equivalent code in TensorFlow 2.0+
        import tensorflow as tf

        x = tf.keras.Input(shape=(784,))
        y = tf.keras.layers.Dense(units=10)(x)
        ...
      
    

In the example above, we can see how the code that previously used ‘tf.placeholder’ and ‘tf.layers.dense’ from the ‘contrib’ package in TensorFlow 1.x has been updated to use ‘tf.keras.Input’ and ‘tf.keras.layers.Dense’ in TensorFlow 2.0+.

Keep in mind that the necessary changes can vary depending on the specific code you are working with and the functionality you are trying to achieve. Therefore, it is important to consult the TensorFlow documentation and guides to find the appropriate replacements for ‘contrib’ modules or attributes.

By updating your code in accordance with the TensorFlow 2.0+ API changes, you should be able to resolve the ‘AttributeError: module ‘tensorflow’ has no attribute ‘contrib” error and continue working with the newer versions of TensorFlow successfully.