code: def compute_graphs(self, graphs: Sequence[G]) -> Sequence[G]:
      params = self.remote_task_params
  
      client = self.client
      execution_ids = {}
      graph_batches = _prepare_batches(graphs, params.max_parallel)
      final_graphs = []
  
      # start of the remote execution for each pipeline
      for graphs_batch in graph_batches:
          for graph in graphs_batch:
              task_id = self._create_graph_task(graph)
              execution_ids[id(graph)] = task_id
  
          # waiting for readiness of all pipelines
          ex_time = client.wait_until_ready()
  
          # download of remote execution result for each pipeline
          for p_id, graph in enumerate(graphs_batch):
              task_id = execution_ids.get(id(graph), None)
              if task_id:
                  try:
                      graphs_batch[p_id] = client.download_result(
                          task_id
                      )
                  except Exception as ex:
                      self._logger.warning(f"{p_id}, {ex}")
          final_graphs.extend(graphs_batch)
  
          self._logger.info(f"REMOTE EXECUTION TIME {ex_time}")
  
      return final_graphs
  
imports: import os
  from dataclasses import dataclass
  from typing import List, Optional, Sequence, Any, TypeVar, Callable, Hashable
  import numpy
  from golem.core.log import default_log
  from golem.core.optimisers.genetic.evaluation import DelegateEvaluator
  from golem.utilities.serializable import Serializable
  from fedot.core.data.data import InputData
  from fedot.remote.infrastructure.clients.client import Client
  from fedot.utilities.pattern_wrappers import singleton
label_desc: Use image node_id 4 for calling the RemoteEvaluator obj's underlying member method code with example usage: obj.compute_graphs(graphs) and returns: final_graphs