code: def __call__(
      self, inputs: Union[str, List[str]], **kwargs
  ) -> List[Response]:
      if self._destroyed:
          raise RuntimeError(
              "The inference engine of this pipeline has been destroyed."
          )
  
      if isinstance(inputs, str):
          inputs = [inputs]
      outputs: List[Response] = []
      uids_running: List[int] = list(range(len(inputs)))
      uids_complete_order: List[int] = []
  
      for uid, input in zip(uids_running, inputs):
          request_kwargs = kwargs.copy()
          self._put_request(uid, input, request_kwargs)
  
      self.schedule_requests()
  
      if self.is_rank_0:
          # Rank 0 runs generate() until all responses are returned
          while uids_running:
              self.generate()
              while not self.result_queues[self.tid].empty():
                  uid, response = self._get_response()
                  outputs.append(response)
                  self._queue_flush_request(uid)
                  uids_complete_order.append(uids_running.index(uid))
                  uids_running.remove(uid)
          # Ensure final flush requests broadcast and
          # kick ranks 1 -> n out of the while loop
          self._bcast_requests(force=True)
      else:
          # Ranks 1 -> n just run generate() until there are no more requests
          while self.scheduled_requests:
              self.generate()
  
      outputs = [
          r
          for idx, r in sorted(
              zip(uids_complete_order, outputs),
              key=lambda pair: pair[0],
          )
      ]
  
      if self.model_config.all_rank_output:
          outputs = self._bcast_responses(outputs)
  
      return outputs
  
imports: import copy
  import gc
  import os
  import queue
  import random
  import threading
  import time
  from collections import deque, defaultdict
  from functools import cached_property
  from typing import Dict, Tuple, List, Any, Union, DefaultDict
  import torch
  import ujson
  import zmq
  from deepspeed.accelerator import get_accelerator
  from deepspeed.utils.timer import SynchronizedWallClockTimer
  from mii.batching.constants import TOP_K_NAME, TOP_P_NAME, TEMP_NAME, SAMPLER_NAME, STOP_NAME
  from mii.batching.data_classes import Response, Request, RequestBatch
  from mii.batching.generation.logit_processors import TopPLogitProcessor, TopKLogitProcessor, TemperatureLogitProcessor
  from mii.batching.generation.samplers import LogitsSampler, GreedySampler
  from mii.batching.generation.stop_criterion import EosGenerationStopCriterion, TokenStopCriterion
  from mii.batching.postprocess import run_batch_logit_processing, run_batch_sampler, run_batch_stop_criterion
  from mii.batching.utils import sync_debug, profiler
  from mii.config import GenerateParamsConfig
  from mii.constants import GenerationFinishReason, ZMQ_RECV_TIMEOUT
  from mii.logging import logger
label_desc: Use image node_id 2 for calling the MIIPipeline obj's underlying member method code with example usage: obj.__call__(inputs) and returns: outputs