class_docstr: Invokes a gRPC method on multiple endpoints in parallel.
  This class aims to call gRPC methods without conversions between proto and python object.
  TensorParallelClient can be used for invocation with the conversions.
class_docstr_tok: ["Invokes","a","gRPC","method","on","multiple","endpoints","in","parallel",".","This","class","aims","to","call","gRPC","methods","without","conversions","between","proto","and","python","object",".","TensorParallelClient","can","be","used","for","invocation","with","the","conversions","."]
code: def invoke_stream(self, method_name, proto_request, result_queue):
      async def invoke_stream_async():
          stub = self.stubs[
              0
          ]  # Only the first stub is used for streaming
          method = getattr(stub, method_name)
          response = method(proto_request)
  
          async for r in response:
              result_queue.put(r)
  
      return asyncio.run_coroutine_threadsafe(
          invoke_stream_async(), self.asyncio_loop
      ).result()
  
imports: import asyncio
  import queue
  import sys
  import threading
  from concurrent import futures
  from typing import Dict
  import grpc
  from google.protobuf import empty_pb2
  from mii.backend.client import create_channel
  from mii.constants import GenerationFinishReason, GRPC_MAX_MSG_SIZE, TERMINATE_METHOD, LB_MAX_WORKER_THREADS, SERVER_SHUTDOWN_TIMEOUT, STREAM_RESPONSE_QUEUE_TIMEOUT
  from mii.grpc_related.proto import modelresponse_pb2_grpc
  from mii.grpc_related.task_methods import TASK_METHODS_DICT, TaskMethods
label_desc: Use image node_id 3 for calling the ParallelStubInvoker obj's underlying member method code with example usage: obj.invoke_stream(method_name, proto_request, result_queue) and returns: asyncio