code: def max(cls, x: 'TensorFluent', y: 'TensorFluent') -> 'TensorFluent':
          '''Returns a TensorFluent for the maximum function.TensorFluent
  
          Args:
              x: The first operand.
              y: The second operand.
  
          Returns:
              A TensorFluent wrapping the maximum function.
          '''
          return cls._binary_op(x, y, tf.maximum, tf.float32f max(cls, x: 'TensorFluent', y: 'TensorFluent') -> 'TensorFluent':
          '''Returns a TensorFluent for the maximum function.TensorFluent
  
          Args:
              x: The first operand.
              y: The second operand.
  
          Returns:
              A TensorFluent wrapping the maximum function.
          '''
          return cls._binary_op(x, y, tf.maximum, tf.float32)
docs: Returns a TensorFluent for the maximum function.TensorFluent
  
          Args:
              x: The first operand.
              y: The second operand.
  
          Returns:
              A TensorFluent wrapping the maximum function.