code: def stack(self, name=None):
      if self._tensor_array:
          for ix in range(len(self._tensor_array)):
              if self._tensor_array[ix] is None:
                  self._tensor_array[ix] = tf_frontend.zeros(
                      shape=self._element_shape, dtype=self._dtype
                  )
      if (
          not self._tensor_array
          and self._element_shape.is_fully_defined()
      ):
          return tf_frontend.constant(
              [0] + list(self.element_shape), dtype=self._dtype
          )
      else:
          return tf_frontend.stack(self._tensor_array)
  
imports: import weakref
  import ivy
  import ivy.functional.frontends.tensorflow
  from ivy.functional.frontends.tensorflow import EagerTensor
label_desc: Use image node_id 14 for calling the TensorArray obj's underlying member method code with example usage: obj.stack(name) and returns: tf_frontend, tf_frontend