code: def sort(
      x: torch.Tensor,
      /,
      *,
      axis: int = -1,
      descending: bool = False,
      stable: bool = True,
      out: Optional[torch.Tensor] = None,
  ) -> torch.Tensor:
      if out is not None:
          out = (out, torch.zeros(out.shape, dtype=torch.long))
      sorted_tensor, _ = torch.sort(
          x, dim=axis, descending=descending, stable=stable, out=out
      )
      return sorted_tensor
  
file_path: ivy/ivy/functional/backends/torch/sorting.py
imports: import torch
  from typing import Optional, Literal, Union, List
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
label_desc: Use image node_id 2 for calling a global function with example usage: sort() and returns: sorted_tensor