code: def build_decoder(self, config, embed_tokens):
      return LSTransformerDecoder(config, embed_tokens)
  
imports: from dataclasses import dataclass
  import torch
  import torch.nn
  from lightseq.training import LSTransformerEmbeddingLayer, LSTransformerEncoderLayer, LSTransformerDecoderLayer
  from lightseq.training.ops.pytorch.util import MODEL_ARCH
  from lightseq.training.ops.pytorch.quantization import QuantLinear
label_desc: Use image node_id 6 for calling the LSTransformer obj's underlying member method code with example usage: obj.build_decoder(config, embed_tokens) and returns: LSTransformerDecoder