Residual autoencoder model for text.

def autoencoder_residual_text():
  """Residual autoencoder model for text."""
  hparams = autoencoder_residual()
  hparams.bottleneck_bits = 32
  hparams.batch_size = 1024
  hparams.hidden_size = 64
  hparams.max_hidden_size = 512
  hparams.bottleneck_noise = 0.0
  hparams.bottom = {
      "inputs": modalities.identity_bottom,
      "targets": modalities.identity_bottom,
  }
  hparams.top = {
      "targets": modalities.identity_top,
  }
  hparams.autoregressive_mode = "none"
  hparams.sample_width = 1
  return hparams