class_docstr: Train Transformer for LASER task
  
  Requires --task laser
class_docstr_tok: ["Train","Transformer","for","LASER","task","Requires","--","task","laser"]
code: def __init__(self, encoder, decoder):
      super().__init__(encoder, decoder)
  
imports: import logging
  from typing import Any, Dict, List, Optional
  from torch import Tensor
  import torch
  import torch.nn
  from fairseq.models import FairseqEncoderDecoderModel, register_model, register_model_architecture
  from fairseq.models.transformer import base_architecture, Embedding, TransformerModel, TransformerEncoder, TransformerDecoder
  from fairseq.modules import TransformerDecoderLayer
label_desc: Use image node_id 1 to create a new LaserTransformerModel object from inherited base classes: FairseqEncoderDecoderModel with example: obj = LaserTransformerModel(encoder, decoder)