adaptive_D_layers: 1 adaptive_conv: False adaptive_spade: True [default: False] add_face_D: False aspect_ratio: 1 batchSize: 60 [default: 1] batch_for_first_gpu: -1 beta1: 0.5 beta2: 0.999 checkpoints_dir: ./checkpoints continue_train: True [default: False] dataroot: datasets/face/ dataset_mode: fewshot_face [default: fewshot_pose] debug: False display_freq: 100 display_winsize: 256 distributed: False fineSize: 256 finetune: False finetune_all: False flow_deconv: False flow_multiplier: 20 fp16: False gan_mode: hinge gpu_ids: 0,1,2,3,4,5,6,7 [default: 0] init_type: xavier init_variance: 0.02 input_nc: 1 isTrain: True [default: None] ks: 1 label_nc: 0 lambda_F: 10.0 lambda_T: 10.0 lambda_face: 10.0 lambda_feat: 10.0 lambda_flow: 10.0 lambda_kld: 0.0 lambda_temp: 2.0 lambda_vgg: 10.0 lambda_weight: 10.0 loadSize: 256 load_pretrain: local_rank: 0 lr: 0.0004 max_dataset_size: 9223372036854775807 max_t_step: 4 model: vid2vid nThreads: 16 [default: 2] n_adaptive_layers: 4 n_blocks_F: 6 n_downsample_A: 2 n_downsample_F: 3 n_downsample_G: 5 n_fc_layers: 2 n_frames_D: 2 n_frames_G: 2 n_frames_per_gpu: 1 n_frames_total: 4 n_layers_D: 4 n_sc_layers: 3 n_shot: 1 name: face [default: test] ndf: 32 netD_subarch: n_layers netG: fewshot netS: encoderdecoder nff: 32 ngf: 32 niter: 100 niter_decay: 0 niter_single: 50 niter_step: 10 no_TTUR: False no_adaptive_embed: False no_flip: False no_flow_gt: False no_ganFeat_loss: False no_html: False no_upper_face: False no_vgg_loss: False norm_D: spectralinstance norm_F: spectralsyncbatch norm_G: spectralspadesyncbatch num_D: 1 optimizer: adam output_nc: 3 phase: train print_D: False print_G: False print_freq: 100 print_mem: False ref_img_id: 0 ref_img_path: datasets/face/test_images/0002/ res_for_ref: False resize_or_crop: scale_width save_epoch_freq: 5 save_latest_freq: 1000 seq_path: datasets/face/test_images/0001/ serial_batches: False spade_combine: True [default: False] tf_log: False use_label_ref: mul use_visdom: False visdom_id: 0 warp_ref: True [default: False] which_epoch: latest which_model_netD: multiscale