code: def numpy_sort_abstract(x, dim):
      return (
          torch.empty_like(x),
          torch.empty_like(x, dtype=torch.long),
          torch.empty_like(x, dtype=torch.long),
      )
  
imports: import torch
  import functools
  from torch.testing import make_tensor
  from torch.testing._internal.opinfo.core import OpInfo, SampleInput
  from torch.testing._internal.common_dtype import all_types_and
  import numpy
  from torch.testing._internal.autograd_function_db import sample_inputs_numpy_cube, sample_inputs_numpy_mul, sample_inputs_numpy_sort, sample_inputs_numpy_take
  from torch import Tensor
  from torch.types import Number
  from typing import *
  import torch._custom_ops
label_desc: Use image node_id 14 for calling a global function with example usage: numpy_sort_abstract(x, dim) and returns: torch,  torch,  torch