code: def __repr__(self) -> str:
      return (
          f"{self.location}:\n"
          + "\n".join(map(str, self.invocations))
          + "\n\t"
          + str(self.module)
      )
  
imports: from collections import OrderedDict
  from dataclasses import dataclass
  from enum import Enum, auto
  from threading import Event
  from typing import Dict, Iterable, List, Optional, Tuple
  import torch
  from torch import Tensor, nn
  from torch.autograd.profiler import record_function
  from torch.distributed import ProcessGroup
  from fairscale.nn.model_parallel import get_pipeline_parallel_ranks
  from .checkpoint import Checkpointing
  from .messages import Transport
  from .microbatch import Batch
  from .skip.tracker import SkipTrackerThroughPotals, use_skip_tracker
  from .types import EVENT_LOOP_QUEUE, PipeMessage, TensorOrTensors, Tensors
  from .worker import Task
label_desc: Use image node_id 2 for calling the ModuleWrapper obj's underlying member method code with example usage: obj.__repr__() and returns: unknown