code: def pytorch_id(node):
      """Returns a unique ID for a node."""
      # After ONNX simplification, the scopeName is not unique anymore
      # so append node outputs to guarantee uniqueness
      return (
          node.scopeName()
          + "/outputs/"
          + "/".join([o.debugName() for o in node.outputs()])
      )
  
file_path: tensorwatch/tensorwatch/model_graph/hiddenlayer/pytorch_builder.py
imports: from __future__ import absolute_import, division, print_function
  import re
  from .graph import Graph, Node
  from .None import transforms
  import torch
  from collections import abc
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: pytorch_id(node) and returns: unknown