code: def any(
      x: paddle.Tensor,
      /,
      *,
      axis: Optional[Union[int, Sequence[int]]] = None,
      keepdims: bool = False,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      x = x.cast("bool")
      if axis is None:
          axis = list(range(x.ndim))
      if isinstance(axis, int):
          ret = paddle.any(x, axis=axis, keepdim=keepdims)
      else:
          axis = [i % x.ndim for i in axis]
          axis.sort()
          ret = x.clone()
          for i, a in enumerate(axis):
              ret = paddle.any(
                  ret, axis=a if keepdims else a - i, keepdim=keepdims
              )
      # The following code is to simulate other frameworks
      # output shapes behaviour since min output dim is 1 in paddle
      if isinstance(axis, Sequence):
          if len(axis) == x.ndim:
              axis = None
      if (x.ndim == 1 or axis is None) and not keepdims:
          ret = paddle_backend.squeeze(ret, axis=-1)
      return ret
  
imports: import paddle
  from typing import Union, Optional, Sequence
  import ivy.functional.backends.paddle
label_desc: Use image node_id 2 for calling a global function with example usage: any() and returns: ret