code: def roll(
      x: torch.Tensor,
      /,
      shift: Union[int, Sequence[int]],
      *,
      axis: Optional[Union[int, Sequence[int]]] = None,
      out: Optional[torch.Tensor] = None,
  ) -> torch.Tensor:
      if torch.is_tensor(axis):
          axis = axis.tolist()
      # manually cover the case when shift is int, and axis is a tuple/list
      if isinstance(shift, int) and (type(axis) in [list, tuple]):
          shift = [shift for _ in range(len(axis))]
      if isinstance(shift, torch.Tensor):
          shift = shift.tolist()
      return torch.roll(x, shift, axis)
  
imports: import math
  from numbers import Number
  from typing import Union, Optional, Tuple, List, Sequence, Iterable
  import torch
  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: torch