code: def autoencoder_ordered_text():
    
    hparams = autoencoder_ordered_discrete()
    hparams.bottleneck_bits = 1024
    hparams.bottleneck_shared_bits = 1024-64
    hparams.bottleneck_shared_bits_start_warmup = 75000
    hparams.bottleneck_shared_bits_stop_warmup = 275000
    hparams.num_hidden_layers = 7
    hparams.batch_size = 1024
    hparams.autoregressive_mode = "conv5"
    hparams.max_hidden_size = 1024
    hparams.bottom = {
        "inputs": modalities.identity_bottom,
        "targets": modalities.identity_bottom,
    }
    hparams.top = {
        "targets": modalities.identity_top,
    }
    hparams.sample_height = 128
    hparams.sample_width = 1
    return hparams
docs: Ordered discrete autoencoder model for text.