code: def _get_differentiable_graph_node(node, diff_node):
      if node.kind() == "prim::DifferentiableGraph":
          diff_node.append(node)
      else:
          for block in node.blocks():
              for n in block.nodes():
                  _get_differentiable_graph_node(n, diff_node)
  
file_path: pytorch/torch/jit/_fuser.py
imports: import contextlib
  from typing import List, Tuple
  import torch
label_desc: Use image node_id 3 for calling a global function with example usage: _get_differentiable_graph_node(node, diff_node) without return types