1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment
        variable TF_USE_LEGACY_KERAS=1 directly or in your python program by
        import os;os.environ["TF_USE_LEGACY_KERAS"]=1. Please note that this
        will set it for all packages in your Python runtime program

*   1.  Change import of keras from tensorflow as follows
*   import tensorflow.keras as keras and import keras to import tf_keras as
    keras

  let summary = [{
Op that executes a program with optional in-place variable updates.
  }];

  let description = [{
It (optionally) reads device variables, loads and executes a TPU program on a
TPU device, and then (optionally) in-place updates variables using the program
outputs, as specified in attributes device_var_reads_indices (program input

          "progressDeadlineSeconds": {
            "description": "The maximum time in seconds for a deployment to make progress before it is considered to be failed. The deployment controller will continue to process failed deployments and a condition with a ProgressDeadlineExceeded reason will be surfaced in the deployment status. Note that progress will not be estimated during the time a deployment is paused. Defaults to 600s.",
            "format": "int32",