def autoencoder_basic_discrete():
  """Basic autoencoder model."""
  hparams = autoencoder_autoregressive()
  hparams.num_hidden_layers = 5
  hparams.hidden_size = 64
  hparams.bottleneck_bits = 1024
  hparams.bottleneck_noise = 0.1
  hparams.add_hparam("discretize_warmup_steps", 16000)
  return hparams
def autoencoder_basic_discrete ( ) : hparams = autoencoder_autoregressive ( ) hparams . num_hidden_layers = 5 hparams . hidden_size = 64 hparams . bottleneck_bits = 1024 hparams . bottleneck_noise = 0.1 hparams . add_hparam ( "discretize_warmup_steps" , 16000 ) return hparams
Basic autoencoder model.