def next_frame_glow_shapes():
  """Hparams for qualitative and quantitative results on shapes dataset."""
  hparams = next_frame_glow_bair_quant()
  hparams.video_num_input_frames = 1
  hparams.video_num_target_frames = 2
  hparams.num_train_frames = 2
  hparams.num_cond_latents = 1
  hparams.coupling = "additive"
  hparams.coupling_width = 512
  hparams.latent_encoder_depth = 10
  hparams.latent_skip = False
  hparams.learning_rate_constant = 1e-4
  hparams.batch_size = 10
  return hparams
def next_frame_glow_shapes ( ) : hparams = next_frame_glow_bair_quant ( ) hparams . video_num_input_frames = 1 hparams . video_num_target_frames = 2 hparams . num_train_frames = 2 hparams . num_cond_latents = 1 hparams . coupling = "additive" hparams . coupling_width = 512 hparams . latent_encoder_depth = 10 hparams . latent_skip = False hparams . learning_rate_constant = 1e-4 hparams . batch_size = 10 return hparams
Hparams for qualitative and quantitative results on shapes dataset.