code: def _validate_engine_for_model_type(
      cls, model_type: str, num_partitions: int, num_heads: int
  ):
      """Placeholder docstring"""
  
      if cls == DeepSpeedModel:
          if (
              num_heads is not None
              and num_partitions is not None
              and num_heads % num_partitions
          ):
              raise ValueError(
                  "The number of attention heads is not evenly divisible by the number of partitions."
                  "Please set the number of partitions such that the number of attention heads can be"
                  "evenly split across the partitions."
              )
      if cls == FasterTransformerModel:
          if (
              model_type
              not in defaults.FASTER_TRANSFORMER_SUPPORTED_ARCHITECTURES
          ):
              raise ValueError(
                  f"The model architecture {model_type} is currently not supported by "
                  f"FasterTransformer. Please use a different engine, or use the DJLModel"
                  f"to let SageMaker pick a recommended engine for this model."
              )
      return cls
  
imports: from __future__ import absolute_import
  import json
  import logging
  import os.path
  import urllib.request
  from json import JSONDecodeError
  from urllib.error import HTTPError, URLError
  from enum import Enum
  from typing import Optional, Union, Dict, Any, List
  import sagemaker
  from sagemaker import s3, Predictor, image_uris, fw_utils
  from sagemaker.deserializers import JSONDeserializer, BaseDeserializer
  from sagemaker.djl_inference import defaults
  from sagemaker.model import FrameworkModel
  from sagemaker.s3_utils import s3_path_join
  from sagemaker.serializers import JSONSerializer, BaseSerializer
  from sagemaker.session import Session
  from sagemaker.utils import _tmpdir, _create_or_update_code_dir, format_tags
  from sagemaker.workflow.entities import PipelineVariable
  from sagemaker.estimator import Estimator
  from sagemaker.s3 import S3Uploader
label_desc: Use image node_id 2 for calling a global function with example usage: _validate_engine_for_model_type(cls, model_type, num_partitions, num_heads) and returns: cls