code: def codegen_all(self, code):
      stages = self.group_operations()
      code_stages = []
      already_defined = []
  
      # Set of operations that already had their state initialized
      # (We do not want to have their random state reset)
      op_to_node = {}
  
      for s_ix, stage in enumerate(stages):
          code_stages.append(
              self.codegen_stage(
                  stage, s_ix, op_to_node, code, already_defined
              )
          )
  
      final_output = [x.id for x in self.leaf_nodes.values()]
      return code_stages, final_output
  
imports: from distutils.log import warn
  import warnings
  import ast
  from collections import defaultdict
  from typing import Callable, Dict, List, Optional, Sequence, Set
  from abc import ABC, abstractmethod
  from ffcv.pipeline.allocation_query import AllocationQuery
  from ffcv.pipeline.pipeline_spec import PipelineSpec
  from ffcv.pipeline.compiler import Compiler
  from ffcv.pipeline.allocation_query import allocate_query
  from .operation import Operation
  from ..transforms import ModuleWrapper
  from .state import State
  import torch
  import numpy
label_desc: Use image node_id 6 for calling the Graph obj's underlying member method code with example usage: obj.codegen_all(code) and returns: code_stages,  final_output