docs: def transpose(self, permutation: Optional[List[int]] = None) -> 'TensorFluent':
          '''Returns a TensorFluent for the transpose operation with given `permutation`.
  
          Args:
              permutation: The output's shape permutation.
  
          Returns:
              A TensorFluent wrapping the transpose operation.
          '''
          if permutation == []:
              return self
          t = tf.transpose(self.tensor, permutation) if permutation != [] else self.tensor
          scope = self.scope.as_list()
          batch = self.batch
          return TensorFluent(t, scope, batch=batch)