code: def __init__(self, client_module, inference=True):
      super().__init__(
          inference,
          mlp_act_func_type=ActivationFuncType.GATED_SILU,
          norm_type=NormType.RMSNorm,
      )
      self.client_module = client_module
  
      self._init_orig_layer_class_once()
  
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 1 to create a new InternLMLayerPolicy object from inherited base classes: TransformerPolicy with example: obj = InternLMLayerPolicy(client_module, inference)