code: def _fake_cast_onnx(v: Tensor) -> float:
      # ONNX requires a tensor but here we fake its type for JIT.
      return v
  
imports: import math
  from typing import List, Tuple, Dict, Optional
  import torch
  from torch import nn, Tensor
  import torch.nn.functional
  import torchvision
  from .image_list import ImageList
label_desc: Use image node_id 4 for calling a global function with example usage: _fake_cast_onnx(v) and returns: v