| run_title: swu_celeba_bs30 | |
| training_model: | |
| kind: default | |
| visualize_each_iters: 1000 | |
| concat_mask: true | |
| store_discr_outputs_for_vis: true | |
| losses: | |
| l1: | |
| weight_missing: 0 | |
| weight_known: 10 | |
| perceptual: | |
| weight: 0 | |
| adversarial: | |
| kind: r1 | |
| weight: 10 | |
| gp_coef: 0.001 | |
| mask_as_fake_target: true | |
| allow_scale_mask: true | |
| feature_matching: | |
| weight: 100 | |
| segm_pl: | |
| weight: 30 | |
| weights_path: ${env:TORCH_HOME} | |
| optimizers: | |
| generator: | |
| kind: adam | |
| lr: 0.001 | |
| discriminator: | |
| kind: adam | |
| lr: 0.0001 | |
| visualizer: | |
| key_order: | |
| - image | |
| - predicted_image | |
| - discr_output_fake | |
| - discr_output_real | |
| - inpainted | |
| rescale_keys: | |
| - discr_output_fake | |
| - discr_output_real | |
| kind: directory | |
| outdir: /group-volume/orc_srr/multimodal/e.logacheva/CelebA-HQ-inpainting/experiments/e.logacheva_2021-03-16_00-49-10_train_final_md_swu_celeba_bs30/samples | |
| location: | |
| data_root_dir: ${env:HOME}/CelebA-HQ | |
| out_root_dir: /group-volume/orc_srr/multimodal/${env:USER}/CelebA-HQ-inpainting/experiments | |
| tb_dir: /group-volume/orc_srr/multimodal/${env:USER}/CelebA-HQ-inpainting/tb_logs | |
| pretrained_models: /group-volume/orc_srr/multimodal/pretrained/ | |
| data: | |
| batch_size: 5 | |
| val_batch_size: 2 | |
| num_workers: 3 | |
| train: | |
| indir: ${location.data_root_dir}/train_256 | |
| out_size: 256 | |
| mask_gen_kwargs: | |
| irregular_proba: 1 | |
| irregular_kwargs: | |
| max_angle: 4 | |
| max_len: 200 | |
| max_width: 100 | |
| max_times: 5 | |
| min_times: 1 | |
| box_proba: 1 | |
| box_kwargs: | |
| margin: 10 | |
| bbox_min_size: 30 | |
| bbox_max_size: 150 | |
| max_times: 4 | |
| min_times: 1 | |
| segm_proba: 0 | |
| transform_variant: no_augs | |
| dataloader_kwargs: | |
| batch_size: ${data.batch_size} | |
| shuffle: true | |
| num_workers: ${data.num_workers} | |
| val: | |
| indir: ${location.data_root_dir}/val_256 | |
| img_suffix: .png | |
| dataloader_kwargs: | |
| batch_size: ${data.val_batch_size} | |
| shuffle: false | |
| num_workers: ${data.num_workers} | |
| visual_test: null | |
| generator: | |
| kind: pix2pixhd_multidilated | |
| input_nc: 4 | |
| output_nc: 3 | |
| ngf: 64 | |
| n_downsampling: 3 | |
| n_blocks: 9 | |
| conv_kind: default | |
| add_out_act: sigmoid | |
| multidilation_kwargs: | |
| comb_mode: cat_in | |
| dilation_num: 4 | |
| discriminator: | |
| kind: pix2pixhd_nlayer | |
| input_nc: 3 | |
| ndf: 64 | |
| n_layers: 4 | |
| evaluator: | |
| kind: default | |
| inpainted_key: inpainted | |
| integral_kind: ssim_fid100_f1 | |
| trainer: | |
| kwargs: | |
| gpus: -1 | |
| distributed_backend: ddp | |
| max_epochs: 40 | |
| gradient_clip_val: 1 | |
| log_gpu_memory: None | |
| limit_train_batches: 25000 | |
| val_check_interval: 2600 | |
| log_save_interval: 250 | |
| precision: 32 | |
| terminate_on_nan: false | |
| check_val_every_n_epoch: 1 | |
| num_sanity_val_steps: 8 | |
| replace_sampler_ddp: false | |
| benchmark: true | |
| checkpoint_kwargs: | |
| verbose: true | |
| save_top_k: 5 | |
| save_last: true | |
| period: 1 | |
| monitor: val_ssim_fid100_f1_total_mean | |
| mode: max | |