code: def forward(self, input_ids):
      x = super(GptEmbedding, self).forward(input_ids)
      x = self.emb_quant(x)
      return x
  
file_path: lightseq/examples/training/huggingface/gpt/ls_hf_gpt_layer.py
imports: from torch import nn
  from lightseq.training.ops.pytorch.quantization import qat_mode, enable_quant, disable_quant, QuantLinear, TensorQuantizer, emb_quant_config
  from lightseq.training.ops.pytorch.torch_transformer_layers import TransformerDecoderLayer, copy_para
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