AttributeError: module 'tensorflow.compat.v1' has no attribute 'contrib'

This error occurs when you try to use the "contrib" module from TensorFlow v1 in TensorFlow v2. The "contrib" module was removed from TensorFlow v2, so you will need to update your code to use the new modules and functions available in TensorFlow v2.

Here are a few steps you can take to resolve this error:

1. Update your code to use the new modules and functions available in TensorFlow v2. You can find the equivalent functions in the new API documentation.

2. If you need to use the "contrib" module, you can install TensorFlow v1.x and use it in a separate environment.

3. If you are using a pre-trained model that was trained on TensorFlow v1, you can try using the "tensorflow.compat.v1" module to run the model in TensorFlow v2.

For example, if you have a line of code like this:

from tensorflow.contrib import layers

You can update it to use the new API like this:

import tensorflow as tf
from tensorflow.keras import layers

# Use the new API instead of the "contrib" module
x = layers.Dense(128, activation='relu')(inputs)

Or, you can use the "tensorflow.compat.v1" module like this:

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

# Use the "contrib" module in TensorFlow v1.x
x = tf.contrib.layers.fully_connected(inputs, 128, activation_fn=tf.nn.relu)