code: def __interpolate(
      g: jit_utils.GraphContext,
      input,
      size,
      scale_factor,
      mode,
      align_corners,
      recompute_scale_factor,
      antialias,
  ):
      scales, mode = symbolic_helper._interpolate_get_scales_and_mode(
          g, input, size, scale_factor, mode, align_corners
      )
      return g.op("Resize", input, scales, mode_s=mode)
  
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 14 for calling a global function with example usage: __interpolate(g, input, size, scale_factor, mode, align_corners, recompute_scale_factor, antialias) and returns: g