# Create a MirroredStrategy for synchronous training across multiple GPUs
strategy = tf.distribute.MirroredStrategy()  

with strategy.scope():
  # Create the model within the strategy's scope
  model = create_model()  
  optimizer = tf.keras.optimizers.Adam()
  # Train the model
  model.fit(train_dataset, epochs=10, validation_data=val_dataset)

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