code: def flip(
      x: Union[tf.Tensor, tf.Variable],
      /,
      *,
      copy: Optional[bool] = None,
      axis: Optional[Union[int, Sequence[int]]] = None,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      num_dims = len(x.shape)
      if not num_dims:
          ret = x
      else:
          if axis is None:
              new_axis = list(range(num_dims))
          else:
              new_axis = axis
          if isinstance(new_axis, int):
              new_axis = [new_axis]
          else:
              new_axis = new_axis
          new_axis = [
              item + num_dims if item < 0 else item for item in new_axis
          ]
          ret = tf.reverse(x, new_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 4 for calling a global function with example usage: flip() and returns: ret