code: def atleast_2d(
      *arys: paddle.Tensor, copy: Optional[bool] = None
  ) -> List[paddle.Tensor]:
      res = []
      for ary in arys:
          ary = ivy.array(ary, copy=copy).data
          if ary.ndim < 2:
              with ivy.ArrayMode(False):
                  res.append(
                      ivy.expand_dims(
                          ary, axis=list(range(2 - ary.ndim))
                      )
                  )
          else:
              res.append(ary)
      if len(res) == 1:
          return res[0]
      return res
  
imports: from collections import namedtuple
  from typing import Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable
  from numbers import Number
  from ..None import backend_version
  from ivy.func_wrapper import with_supported_device_and_dtypes, with_unsupported_device_and_dtypes, with_supported_dtypes, with_unsupported_dtypes
  import paddle
  import ivy
  import ivy.functional.backends.paddle
  from ivy.functional.ivy.experimental.manipulation import _check_paddle_pad, _to_paddle_padding
label_desc: Use image node_id 16 for calling a global function with example usage: atleast_2d() and returns: res, res