code: def forward(ctx, inputs, dest, event, message, transport, futures):
      ctx.dest = dest
      ctx.event = event
      ctx.message = message
      ctx.transport = transport
      ctx.futures = futures
      return inputs
  
imports: from threading import Event, Lock, Thread
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union, cast
  import torch
  from torch import nn
  from torch.distributed import ProcessGroup, rpc
  from torch.distributed.distributed_c10d import _get_global_rank
  from fairscale.nn.model_parallel.initialize import get_pipeline_parallel_group
  from .async_pipe import AsyncPipe
  from .types import EVENT_LOOP_QUEUE, PipeMessage, TensorOrTensors
label_desc: Use image node_id 1 for calling the PipeBackRedirect obj's underlying member method code with example usage: obj.forward(ctx, inputs, dest, event, message, transport, futures) and returns: inputs