code: def roll(
      x: Union[tf.Tensor, tf.Variable],
      /,
      shift: Union[int, Sequence[int]],
      *,
      axis: Optional[Union[int, Sequence[int]]] = None,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      if axis is None:
          originalShape = x.shape
          axis = 0
          x = tf.reshape(x, [-1])
          roll = tf.roll(x, shift, axis)
          ret = tf.reshape(roll, originalShape)
      else:
          if isinstance(shift, int) and (type(axis) in [list, tuple]):
              shift = [shift for _ in range(len(axis))]
          ret = tf.roll(x, shift, axis)
      return ret
  
imports: import math
  from numbers import Number
  from typing import Union, Tuple, Optional, List, Sequence
  import numpy
  import tensorflow
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.manipulation import _calculate_out_shape
  from .None import backend_version
label_desc: Use image node_id 7 for calling a global function with example usage: roll(shift) and returns: ret