code: def is_convertible_with(self, other):
          
          other = as_shape(other)
          if self._dims is not None and other.dims is not None:
              if self.ndims != other.ndims:
                  return False
              for x_dim, y_dim in zip(self._dims, other.dims):
                  if not x_dim.is_convertible_with(y_dim):
                      return False
          return True
docs: Returns True iff `self` is convertible with `other`.
  
          Two possibly-partially-defined shapes are convertible if there
          exists a fully-defined shape that both shapes can represent. Thus,
          convertibility allows the shape inference code to reason about
          partially-defined shapes. For example:
  
          * TensorShape(None) is convertible with all shapes.
  
          * TensorShape([None, None]) is convertible with all two-dimensional
            shapes, such as TensorShape([32, 784]), and also TensorShape(None). It is
            not convertible with, for example, TensorShape([None]) or
            TensorShape([None, None, None]).
  
          * TensorShape([32, None]) is convertible with all two-dimensional shapes
            with size 32 in the 0th dimension, and also TensorShape([None, None])
            and TensorShape(None). It is not convertible with, for example,
            TensorShape([32]), TensorShape([32, None, 1]) or TensorShape([64, None]).
  
          * TensorShape([32, 784]) is convertible with itself, and also
            TensorShape([32, None]), TensorShape([None, 784]), TensorShape([None,
            None]) and TensorShape(None). It is not convertible with, for example,
            TensorShape([32, 1, 784]) or TensorShape([None]).
  
          The convertibility relation is reflexive and symmetric, but not
          transitive. For example, TensorShape([32, 784]) is convertible with
          TensorShape(None), and TensorShape(None) is convertible with
          TensorShape([4, 4]), but TensorShape([32, 784]) is not convertible with
          TensorShape([4, 4]).
  
          Args:
            other: Another TensorShape.
  
          Returns:
            True iff `self` is convertible with `other`.