code: def __init__(self, client_module, inference=True):
      super().__init__(inference, scale_attention=True)
      self.client_module = client_module
      try:
          import transformers
  
          HFGPTJLayerPolicy._orig_layer_class = (
              transformers.models.gptj.modeling_gptj.GPTJBlock
          )
      except:
          HFGPTJLayerPolicy._orig_layer_class = None
  
imports: from .base import *
  from .features.meta_tensor import MetaTensorContainer
  from .features.split_qkv import HybridSplitQKVContainer
  from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
  import torch
  from torch.nn.parameter import Parameter
  from ..policy import TransformerPolicy
  from ..policy import transformer_param_names
  from ..policy import maybe_copy
  from ..policy import maybe_copy_qkv
  from ..policy import maybe_get_lora
label_desc: Use image node_id 1 to create a new HFGPTJLayerPolicy object from inherited base classes: TransformerPolicy with example: obj = HFGPTJLayerPolicy(client_module, inference)