text: """Params for ADDA."""
  
  # params for dataset and data loader
  data_root = "data"
  dataset_mean_value = 0.5
  dataset_std_value = 0.5
  dataset_mean = (dataset_mean_value,)
  dataset_std = (dataset_std_value,)
  batch_size = 256
  image_size = 64
  
  # params for source dataset
  src_dataset = "MNIST"
  src_encoder_restore = "snapshots/ADDA-source-encoder-final.pth"
  src_classifier_restore = "snapshots/ADDA-source-classifier-final.pth"
  src_model_trained = True
  
  # params for target dataset
  tgt_dataset = "USPS"
  tgt_encoder_restore = "snapshots/ADDA-target-encoder-final.pth"
  tgt_model_trained = True
  
  # params for setting up models
  model_root = "snapshots"
  d_input_dims = 500
  d_hidden_dims = 500
  d_output_dims = 2
  d_model_restore = "snapshots/ADDA-critic-final.pth"
  
  # params for training network
  num_gpu = 1
  num_epochs_pre = 40
  log_step_pre = 20
  eval_step_pre = 20
  save_step_pre = 20
  num_epochs = 40
  log_step = 20
  save_step = 20
  manual_seed = None
  
  # params for optimizing models
  d_learning_rate = 1e-4
  c_learning_rate = 1e-4
  beta1 = 0.5
  beta2 = 0.9
  