code: def unstack(
      x: paddle.Tensor,
      /,
      *,
      copy: Optional[bool] = None,
      axis: int = 0,
      keepdims: bool = False,
  ) -> List[paddle.Tensor]:
      if x.ndim == 0:
          return [x]
      if axis is not None:
          axis %= x.ndim
      else:
          axis = 0
      if paddle.is_complex(x):
          real_list = paddle.unbind(x.real(), axis)
          imag_list = paddle.unbind(x.imag(), axis)
          ret = [
              paddle.complex(a, b) for a, b in zip(real_list, imag_list)
          ]
      else:
          ret = paddle.unbind(x, axis)
      if keepdims:
          return [paddle_backend.expand_dims(r, axis=axis) for r in ret]
      return ret
  
imports: from numbers import Number
  from typing import Union, Optional, Tuple, List, Sequence, Iterable
  import math
  import paddle
  import ivy
  import ivy.functional.backends.paddle
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes, with_supported_dtypes
  from .None import backend_version
  from ...ivy.manipulation import _calculate_out_shape
label_desc: Use image node_id 17 for calling a global function with example usage: unstack() and returns: ret, list, unknown