code: def merge_with(self, other):
          
          other = as_shape(other)
          if self._dims is None:
              return other
          else:
              try:
                  self.assert_same_rank(other)
                  new_dims = []
                  for i, dim in enumerate(self._dims):
                      new_dims.append(dim.merge_with(other[i]))
                  return TensorShape(new_dims)
              except ValueError:
                  raise ValueError("Shapes %s and %s are not convertible" % (self, other))
docs: Returns a `TensorShape` combining the information in `self` and `other`.
  
          The dimensions in `self` and `other` are merged elementwise,
          according to the rules defined for `Dimension.merge_with()`.
  
          Args:
            other: Another `TensorShape`.
  
          Returns:
            A `TensorShape` containing the combined information of `self` and
            `other`.
  
          Raises:
            ValueError: If `self` and `other` are not convertible.