code: def most_specific_convertible_shape(self, other):
          
  
          other = as_shape(other)
          if self._dims is None or other.dims is None or self.ndims != other.ndims:
              return unknown_shape()
  
          dims = [(Dimension(None))] * self.ndims
          for i, (d1, d2) in enumerate(zip(self._dims, other.dims)):
              if d1 is not None and d2 is not None and d1 == d2:
                  dims[i] = d1
          return TensorShape(dims)
docs: Returns the most specific TensorShape convertible with `self` and `other`.
  
          * TensorShape([None, 1]) is the most specific TensorShape convertible with
            both TensorShape([2, 1]) and TensorShape([5, 1]). Note that
            TensorShape(None) is also convertible with above mentioned TensorShapes.
  
          * TensorShape([1, 2, 3]) is the most specific TensorShape convertible with
            both TensorShape([1, 2, 3]) and TensorShape([1, 2, 3]). There are more
            less specific TensorShapes convertible with above mentioned TensorShapes,
            e.g. TensorShape([1, 2, None]), TensorShape(None).
  
          Args:
            other: Another `TensorShape`.
  
          Returns:
            A `TensorShape` which is the most specific convertible shape of `self`
            and `other`.