code: def sqrt(cls, x: 'TensorFluent') -> 'TensorFluent':
          '''Returns a TensorFluent for the sqrt function.
  
          Args:
              x: The input fluent.
  
          Returns:
              A TensorFluent wrapping the sqrt function.
          '''
          return cls._unary_op(x, tf.sqrt, tf.float32f sqrt(cls, x: 'TensorFluent') -> 'TensorFluent':
          '''Returns a TensorFluent for the sqrt function.
  
          Args:
              x: The input fluent.
  
          Returns:
              A TensorFluent wrapping the sqrt function.
          '''
          return cls._unary_op(x, tf.sqrt, tf.float32)
docs: Returns a TensorFluent for the sqrt function.
  
          Args:
              x: The input fluent.
  
          Returns:
              A TensorFluent wrapping the sqrt function.