code: def get_hidden_heads(self):
      return (
          self.client_module.self_attn.q_proj.weight.shape[1],
          self.client_module.self_attn.num_heads,
          self.client_module.input_layernorm.variance_epsilon,
          self.client_module.mlp.gate_proj.weight.shape[0],
      )
  
imports: import importlib
  import torch
  from torch.nn.parameter import Parameter
  from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
  from deepspeed.utils.types import ActivationFuncType, NormType
  from ..policy import TransformerPolicy, maybe_copy, maybe_copy_geglu, maybe_copy_qkv, maybe_get_lora, transformer_param_names
  from .base import *
  from .features import HybridGatedMLPContainer, HybridSplitQKVContainer
label_desc: Use image node_id 3 for calling the InternLMLayerPolicy obj's underlying member method code with example usage: obj.get_hidden_heads() and returns: self,  self,  self,  self