code: def attention_reconstruction_loss(c: Configs):
      """
      ### Initialize the attention reconstruction loss
      """
      return AttentionReconstructionLoss(c.model.transformer.layers)
  
imports: from typing import List, Tuple, NamedTuple
  import torch
  import torch.nn
  from labml import experiment, tracker, monit, logger
  from labml.configs import option
  from labml.logger import Text
  from labml_helpers.metrics.simple_state import SimpleStateModule
  from labml_helpers.module import Module
  from labml_helpers.train_valid import BatchIndex, hook_model_outputs
  from labml_nn.experiments.nlp_autoregression import NLPAutoRegressionConfigs
  from labml_nn.transformers.compressive import CompressiveTransformer, AttentionReconstructionLoss, CompressiveTransformerLayer, Conv1dCompression
label_desc: Use image node_id 2 for calling a global function with example usage: attention_reconstruction_loss(c) and returns: AttentionReconstructionLoss