code: def get_hidden_heads(self):
      return (
          self.client_module.attention.wq.weight.shape[1],
          self.client_module.n_heads,
          self.client_module.ffn_norm.eps,
          (
              self.client_module.feed_forward.w1.weight.shape[0]
              * deepspeed.comm.get_world_size()
              if deepspeed.comm.is_initialized()
              else 1
          ),
      )
  
imports: from .base import *
  from .features import HybridSplitQKVContainer, HybridGatedMLPContainer, MetaTensorContainer
  from deepspeed.utils.types import ActivationFuncType, NormType
  from deepspeed.model_implementations.transformers.ds_llama2 import DeepSpeedLlama2Inference
  import torch
  from torch.nn.parameter import Parameter
  from ..policy import TransformerPolicy, transformer_param_names, maybe_copy, maybe_copy_qkv, maybe_copy_geglu, maybe_get_lora
label_desc: Use image node_id 2 for calling the LLAMA2LayerPolicy obj's underlying member method code with example usage: obj.get_hidden_heads() and returns: self,  self,  self,  unknown