code: def attention(self, enable_training=False):
      return (
          self.client_module.self_attention.query_key_value.weight,
          self.client_module.self_attention.query_key_value.bias,
          self.client_module.self_attention.dense.weight,
          self.client_module.self_attention.dense.bias,
      )
  
imports: from .base import *
  from .features.meta_tensor import MetaTensorContainer
  from .features.hybrid_engine import HybridEngineContainer
  from deepspeed.model_implementations.transformers.ds_bloom import DeepSpeedBloomInference
  from ..policy import TransformerPolicy
  from ..policy import transformer_param_names
  from ..policy import maybe_copy
  from ..policy import maybe_get_lora
label_desc: Use image node_id 3 for calling the BLOOMLayerPolicy obj's underlying member method code with example usage: obj.attention(enable_training) and returns: self,  self,  self,  self