code: def validate(self) -> None:
      if not self._non_transformer_params.is_initialized:
          raise RuntimeError(
              "Non-transformer parameters not fully initialized after checkpoint load."
          )
  
      for layer_idx, container in enumerate(self._transformer_params):
          if not container.is_initialized:
              raise RuntimeError(
                  f"Transformer container at index {layer_idx} not fully initialized after checkpoint load."
              )
  
imports: import json
  from abc import ABC, ABCMeta, abstractmethod
  from typing import Any, Iterable, List, Optional, Union
  import torch
  from ..config_v2 import RaggedInferenceEngineConfig
  from ..checkpoint import CheckpointEngineBase
  from ..logging import inference_logger
  from .layer_container_base import LayerContainer
  from .inference_model_base import DSInferenceModelBase
  from .flat_model_helpers import flatten_inference_model, make_param_filename, make_metadata_filename, ModelMetadata, restore_inference_model
label_desc: Use image node_id 8 for calling the ContainerMap obj's underlying member method code with example usage: obj.validate() without return types