code: def generate_replica_configs(self) -> None:
      if self.model_config.replica_configs:
          return
      torch_dist_port = self.model_config.torch_dist_port
      tensor_parallel = self.model_config.tensor_parallel
      replica_pool = _allocate_devices(
          self.hostfile,
          tensor_parallel,
          self.model_config.replica_num,
          self.model_config.device_map,
      )
      replica_configs = []
      for i, (hostname, gpu_indices) in enumerate(replica_pool):
          # Reserver port for a LB proxy when replication is enabled
          port_offset = 1
          base_port = (
              self.port_number + i * tensor_parallel + port_offset
          )
          tensor_parallel_ports = list(
              range(base_port, base_port + tensor_parallel)
          )
          replica_torch_dist_port = torch_dist_port + (100 * i)
          replica_configs.append(
              ReplicaConfig(
                  hostname=hostname,
                  tensor_parallel_ports=tensor_parallel_ports,
                  torch_dist_port=replica_torch_dist_port,
                  gpu_indices=gpu_indices,
                  zmq_port=self.model_config.zmq_port_number + i,
              )
          )
  
      self.model_config.replica_configs = replica_configs
  
imports: import os
  import string
  from typing import List, Optional, Union, Dict, Any, Literal
  from deepspeed.runtime.config_utils import DeepSpeedConfigModel
  from deepspeed.launcher.runner import DLTS_HOSTFILE, fetch_hostfile
  from deepspeed.inference import RaggedInferenceEngineConfig
  from mii.constants import DeploymentType, TaskType, ModelProvider
  from mii.errors import DeploymentNotFoundError
  from mii.modeling.tokenizers import MIITokenizerWrapper
  from mii.pydantic_v1 import BaseModel, Field, root_validator, validator
  from mii.utils import generate_deployment_name, get_default_task, import_score_file
label_desc: Use image node_id 3 for calling the MIIConfig obj's underlying member method code with example usage: obj.generate_replica_configs() without return types