code: def merge_with(self, other):
          
          other = as_dimension(other)
          self.assert_is_convertible_with(other)
          if self._value is None:
              return Dimension(other.value)
          else:
              return Dimension(self._value)
docs: Returns a Dimension that combines the information in `self` and `other`.
  
          Dimensions are combined as follows:
  
          ```python
          tf.Dimension(n)   .merge_with(tf.Dimension(n))    == tf.Dimension(n)
          tf.Dimension(n)   .merge_with(tf.Dimension(None)) == tf.Dimension(n)
          tf.Dimension(None).merge_with(tf.Dimension(n))    == tf.Dimension(n)
          tf.Dimension(None).merge_with(tf.Dimension(None)) == tf.Dimension(None)
          tf.Dimension(n)   .merge_with(tf.Dimension(m))  # raises ValueError for n != m
          ```
  
          Args:
            other: Another Dimension.
  
          Returns:
            A Dimension containing the combined information of `self` and
            `other`.
  
          Raises:
            ValueError: If `self` and `other` are not convertible (see
              is_convertible_with).