message: Fix keras_support.tpu_model example usages.
diff: @@ -25,10 +25,9 @@ flattened = tf.keras.layers.Flatten()(c1)
  logits = tf.keras.layers.Dense(10, activation='softmax')(flattened)
  model = tf.keras.Model(inputs=[image], outputs=[logits])
  -strategy = keras_support.TPUDistributionStrategy(num_cores_per_host=8)
  -model = keras_support.tpu_model(model,
  - strategy=strategy,
  - tpu_name_or_address=tpu_name)
  +resolver = tf.contrib.cluster_resolver.TPUClusterResolver(tpu=tpu_name)
  +strategy = keras_support.TPUDistributionStrategy(resolver)
  +model = keras_support.tpu_model(model, strategy=strategy)
  # Only TF optimizers are currently supported.
  model.compile(optimizer=tf.train.AdamOptimizer(), ...)
  