code: def slice(g: jit_utils.GraphContext, self, *args):
      if len(args) == 4:
          # aten::slice(Tensor self, int dim, int? start=None, int? end=None, int step=1) -> Tensor
          dims, start, end, step = args
      elif len(args) == 3:
          # aten::slice(t[] l, int? start=None, int? end=None, int step=1) -> t[]
          start, end, step = args
          dims = [0]
      else:
          raise errors.SymbolicValueError(
              "Unknown aten::slice signature", self
          )
  
      return symbolic_helper._slice_helper(
          g,
          self,
          axes=dims,
          starts=start,
          ends=end,
          steps=step,
      )
  
imports: from __future__ import annotations
  import functools
  import sys
  import warnings
  from typing import List, Optional, Sequence, Tuple, Union
  import torch
  import torch._C._onnx
  import torch.onnx
  from torch import _C
  from torch.onnx import _constants, _type_utils, errors, symbolic_helper, symbolic_opset9
  from torch.onnx._globals import GLOBALS
  from torch.onnx._internal import _beartype, jit_utils, registration
label_desc: Use image node_id 16 for calling a global function with example usage: slice(g, ) and returns: symbolic_helper