code: def get_hf_gpt_emb_layer_params(layer):
      init_ws = []
  
      init_ws.append(layer.wte.weight.detach().clone())
      init_ws.append(layer.wpe.weight.detach().clone())
  
      return init_ws
  
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 a global function with example usage: get_hf_gpt_emb_layer_params(layer) and returns: init_ws