code: def __init__(self, *args, **kwargs):
      super(LSHFGptEncoderLayer, self).__init__(*args, **kwargs)
  
imports: import time
  import torch
  from torch import nn
  from transformers import GPT2Tokenizer, GPT2LMHeadModel, GPT2Config
  import lightseq.inference
  from lightseq.training.ops.pytorch.quantization import qat_mode, QuantLinear, TensorQuantizer, weight_quant_config, emb_quant_config
  from lightseq.training.ops.pytorch.torch_transformer_layers import TransformerDecoderLayer
  from export.util import parse_args
label_desc: Use image node_id 1 to create a new LSHFGptEncoderLayer object from inherited base classes: TransformerDecoderLayer with example: obj = LSHFGptEncoderLayer()