code: def dstack(
      arrays: Sequence[paddle.Tensor],
      /,
      *,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      with ivy.ArrayMode(False):
          arrays = ivy.atleast_2d(*arrays)
          if not isinstance(arrays, list):
              arrays = [arrays]
          if arrays[0].ndim < 3:
              return ivy.stack(arrays, axis=-1)
          else:
              return ivy.concat(arrays, axis=2)
  
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 15 for calling a global function with example usage: dstack() and returns: ivy, ivy