def get_default_hparams():
 return HParams(batch_size=64, residual_blocks=2, n_couplings=2, n_scale=4, learning_rate=0.001, momentum=0.1, decay=0.001, l2_coeff=5e-05, clip_gradient=100.0, optimizer='adam', dropout_mask=0, base_dim=32, bottleneck=0, use_batch_norm=1, alternate=1, use_aff=1, skip=1, data_constraint=0.9, n_opt=0)

def get_default_hparams ( ) : return HParams ( batch_size = 64 , residual_blocks = 2 , n_couplings = 2 , n_scale = 4 , learning_rate = 0.001 , momentum = 0.1 , decay = 0.001 , l2_coeff = 5e-05 , clip_gradient = 100.0 , optimizer = 'adam' , dropout_mask = 0 , base_dim = 32 , bottleneck = 0 , use_batch_norm = 1 , alternate = 1 , use_aff = 1 , skip = 1 , data_constraint = 0.9 , n_opt = 0 )
get the default hyperparameters .