class_docstr: Config for the Serve Autoscaler.
code: def replicas_settings_valid(cls, max_replicas, values):
      min_replicas = values.get("min_replicas")
      initial_replicas = values.get("initial_replicas")
      if min_replicas is not None and max_replicas < min_replicas:
          raise ValueError(
              f"max_replicas ({max_replicas}) must be greater than "
              f"or equal to min_replicas ({min_replicas})!"
          )
  
      if initial_replicas is not None:
          if initial_replicas < min_replicas:
              raise ValueError(
                  f"min_replicas ({min_replicas}) must be less than "
                  f"or equal to initial_replicas ({initial_replicas})!"
              )
          elif initial_replicas > max_replicas:
              raise ValueError(
                  f"max_replicas ({max_replicas}) must be greater than "
                  f"or equal to initial_replicas ({initial_replicas})!"
              )
  
      return max_replicas
  
imports: import logging
  import warnings
  from enum import Enum
  from typing import Any, Callable, List, Optional, Union
  from ray import cloudpickle
  from ray._private.pydantic_compat import BaseModel, NonNegativeFloat, NonNegativeInt, PositiveFloat, PositiveInt, validator
  from ray._private.utils import import_attr
  from ray.serve._private.constants import DEFAULT_AUTOSCALING_POLICY, DEFAULT_GRPC_PORT, DEFAULT_HTTP_HOST, DEFAULT_HTTP_PORT, DEFAULT_UVICORN_KEEP_ALIVE_TIMEOUT_S, SERVE_LOGGER_NAME
  from ray.util.annotations import Deprecated, PublicAPI
label_desc: Use image node_id 1 for calling the AutoscalingConfig obj's underlying member method code with example usage: obj.replicas_settings_valid(cls, max_replicas, values) and returns: max_replicas