code: def transformer_revnet_big():
    
    hparams = transformer_revnet_base()
  
    # The TransformerRevnet uses significantly less memory than the Transformer.
    # Increase batch size and model size.
    hparams.batch_size *= 2
    hparams.hidden_size *= 2
    hparams.num_heads *= 2
    hparams.num_hidden_layers += 1
    return hparams
docs: Base hparams for TransformerRevnet.