# basic setting
is_train: True
worker: 1

# train
# basic
batch_size: 3
shuffle: true
max_epoch: 500
epoch_start: 1      # the starting epoch count

# optimizer
beta1: 0.5
beta2: 0.999
weight_decay: 0.0001
lr: 0.0001

# print
visual_img_freq: 8000
print_loss_freq: 1000
save_epoch_freq: 20

# test
test_batch_size: 1   # must be one
results_root: 'results/'
test_freq: 5

# dataset
input_nc: 3
mask_nc: 1
output_nc: 3
crop_size: 256
crop: True
flip: True

# generator
ngf: 32
G_norm_type: in

# discriminator
ndf: 64
D_norm_type: batch
gan_mode: hinge

# loss
no_ganFeat_loss: False
no_vgg_loss: False
lambda_L1: 1
lambda_feat: 10
lambda_vgg: 10
lambda_gan: 1

# SEAN
style_length: 128