Numpy() is only available when eager execution is enabled.

The error message “numpy() is only available when eager execution is enabled” occurs when you try to use the NumPy library without enabling eager execution in TensorFlow.

Eager execution is a mode in TensorFlow that allows for immediate evaluation of operations, making TensorFlow work more like standard Python programming. By default, eager execution is not enabled in TensorFlow versions 2.0 and above.

To resolve this error and use NumPy with TensorFlow, you need to enable eager execution. Here’s an example of how to enable eager execution:

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

By calling tf.compat.v1.enable_eager_execution(), you enable eager execution in TensorFlow. After enabling eager execution, you can import and use NumPy without encountering the mentioned error. Here’s an example:

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

    import numpy as np

    a = np.array([1, 2, 3])
    print(a)
    
  

In the above example, we first enable eager execution using tf.compat.v1.enable_eager_execution(). Then, we import NumPy using import numpy as np. We create a NumPy array a and print its contents. Without enabling eager execution, this code would have thrown the mentioned error.