code: def forward(self, input_ids):
      x = super(GptEmbedding, self).forward(input_ids)
      x = self.emb_quant(x)
      return x
  
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 2 for calling the GptEmbedding obj's underlying member method code with example usage: obj.forward(input_ids) and returns: x