config = dict()


config['batch_size'] = 4
# config['train_dir'] = '/home/workspace/local-data/cape_processed/train/female'
# config['valid_dir'] = '/home/workspace/local-data/cape_processed/test/female'
# config['test_dir'] = '/home/workspace/local-data/cape_processed/test/female'
config['train_dir'] = '/home/workspace/local-data/train'
config['valid_dir'] = '/home/workspace/local-data/valid'
config['test_dir'] = '/home/workspace/data/dataset/test_ready'
# config['train_dir'] = '/home/workspace/local-data/train_skirt'
# config['valid_dir'] = '/home/workspace/local-data/valid_skirt'
# config['test_dir'] = '/home/workspace/local-data/test_skirt_ready'
config['use_filled'] = False
config['resolution'] = 512
config['is_skirt'] = False
config['dataset_in_memory'] = False
config['is_cape'] = False

config['smpl_res'] = 14475
if config['is_cape']:
  config['smpl_res'] = 3638

config['latent_dim'] = 128

config['cond_ae'] = dict()
config['cond_ae']['is_label'] = False
config['cond_ae']['upscale_output'] = False
config['cond_ae']['latent_dim'] = config['latent_dim']
config['cond_ae']['kernel_size'] = 7
config['cond_ae']['bottleneck_size'] = 64
config['cond_ae']['encoder_depths'] = [3, 3, 9, 9, 3]
config['cond_ae']['encoder_dims'] = [32, 64, 128, 256, config['cond_ae']['bottleneck_size']]
config['cond_ae']['decoder_input'] = (8, 4, config['cond_ae']['bottleneck_size'])
config['cond_ae']['decoder_depths'] = [3, 3, 9, 9, 3]
config['cond_ae']['decoder_dims'] = [config['cond_ae']['bottleneck_size'], 256, 128, 64, 16]

# config['cond_ae'] = dict()
# config['cond_ae']['is_label'] = False
# config['cond_ae']['upscale_output'] = False
# config['cond_ae']['latent_dim'] = config['latent_dim']
# config['cond_ae']['kernel_size'] = 7
# config['cond_ae']['bottleneck_size'] = 64
# config['cond_ae']['encoder_depths'] = [3, 3, 3, 3, 3]
# config['cond_ae']['encoder_dims'] = [16, 32, 128, 128, config['cond_ae']['bottleneck_size']]
# config['cond_ae']['decoder_input'] = (8, 4, config['cond_ae']['bottleneck_size'])
# config['cond_ae']['decoder_depths'] = [3, 3, 3, 3, 3]
# config['cond_ae']['decoder_dims'] = [config['cond_ae']['bottleneck_size'], 128, 128, 32, 8]

# config['cond_ae_body'] = config['cond_ae']
config['cond_ae_body'] = dict()
config['cond_ae_body']['latent_dim'] = config['latent_dim']
config['cond_ae_body']['kernel_size'] = 7
config['cond_ae_body']['upscale_output'] = True
config['cond_ae_body']['bottleneck_size'] = 512
config['cond_ae_body']['encoder_depths'] = [3, 3, 9, 9, 3, 3]
config['cond_ae_body']['encoder_dims'] = [32, 64, 128, 256, 256, config['cond_ae_body']['bottleneck_size']]
config['cond_ae_body']['decoder_input'] = (4, 2, config['cond_ae_body']['bottleneck_size'])
config['cond_ae_body']['decoder_depths'] = [3, 3, 9, 3]
config['cond_ae_body']['decoder_dims'] = [config['cond_ae_body']['bottleneck_size'], 128, 64, 16]