code: def instantiate_attention(
      attention_config: DSSelfAttentionConfig,
      engine_config: RaggedInferenceEngineConfig,
  ) -> DSSelfAttentionBase:
      """
      Choose an appropriate attention implementation based on the given configurations. This
      method is currently a stub, but as more implementations may be developed  we can centralize
      the logic for choosing between them here.
  
      Arguments:
          attention_config (DSSelfAttentionConfig): Configuration for the attention module.
          engine_config (RaggedInferenceEngineConfig): Configuration for the inference engine.
  
      Returns:
          An attention module implementing the given configuration.
      """
  
      # Currently, we only have one implementation, so we just return it.
      config = ConfigBundle(
          name="dense_blocked_attention", config=attention_config
      )
      return DSSelfAttentionRegistry.instantiate_config(config)
  
file_path: DeepSpeed/deepspeed/inference/v2/modules/heuristics.py
imports: from ..config_v2 import RaggedInferenceEngineConfig
  from ..inference_utils import NormTypeEnum
  from .module_registry import ConfigBundle
  from ..modules.configs import DSEmbeddingsConfig, DSLinearConfig, DSMoEConfig, DSNormConfig, DSSelfAttentionConfig, DSUnembedConfig
  from ..modules.interfaces import DSEmbeddingBase, DSEmbeddingRegistry, DSLinearBase, DSLinearRegistry, DSMoEBase, DSMoERegistry, DSPostNormBase, DSPostNormRegistry, DSPreNormBase, DSPreNormRegistry, DSSelfAttentionBase, DSSelfAttentionRegistry, DSUnembedBase, DSUnembedRegistry
label_desc: Use image node_id 1 for calling a global function with example usage: instantiate_attention(attention_config, engine_config) and returns: DSSelfAttentionRegistry