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Upload config.yaml

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  1. config.yaml +157 -0
config.yaml ADDED
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+ run_title: b18_ffc075_batch8x15
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+ training_model:
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+ kind: default
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+ visualize_each_iters: 1000
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+ concat_mask: true
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+ store_discr_outputs_for_vis: true
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+ losses:
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+ l1:
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+ weight_missing: 0
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+ weight_known: 10
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+ perceptual:
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+ weight: 0
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+ adversarial:
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+ kind: r1
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+ weight: 10
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+ gp_coef: 0.001
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+ mask_as_fake_target: true
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+ allow_scale_mask: true
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+ feature_matching:
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+ weight: 100
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+ resnet_pl:
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+ weight: 30
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+ weights_path: ${env:TORCH_HOME}
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+
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+ optimizers:
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+ generator:
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+ kind: adam
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+ lr: 0.001
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+ discriminator:
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+ kind: adam
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+ lr: 0.0001
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+ visualizer:
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+ key_order:
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+ - image
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+ - predicted_image
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+ - discr_output_fake
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+ - discr_output_real
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+ - inpainted
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+ rescale_keys:
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+ - discr_output_fake
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+ - discr_output_real
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+ kind: directory
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+ outdir: /group-volume/User-Driven-Content-Generation/r.suvorov/inpainting/experiments/r.suvorov_2021-04-30_14-41-12_train_simple_pix2pix2_gap_sdpl_novgg_large_b18_ffc075_batch8x15/samples
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+ location:
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+ data_root_dir: /group-volume/User-Driven-Content-Generation/datasets/inpainting_data_root_large
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+ out_root_dir: /group-volume/User-Driven-Content-Generation/${env:USER}/inpainting/experiments
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+ tb_dir: /group-volume/User-Driven-Content-Generation/${env:USER}/inpainting/tb_logs
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+ data:
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+ batch_size: 15
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+ val_batch_size: 2
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+ num_workers: 3
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+ train:
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+ indir: ${location.data_root_dir}/train
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+ out_size: 256
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+ mask_gen_kwargs:
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+ irregular_proba: 1
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+ irregular_kwargs:
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+ max_angle: 4
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+ max_len: 200
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+ max_width: 100
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+ max_times: 5
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+ min_times: 1
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+ box_proba: 1
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+ box_kwargs:
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+ margin: 10
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+ bbox_min_size: 30
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+ bbox_max_size: 150
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+ max_times: 3
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+ min_times: 1
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+ segm_proba: 0
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+ segm_kwargs:
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+ confidence_threshold: 0.5
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+ max_object_area: 0.5
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+ min_mask_area: 0.07
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+ downsample_levels: 6
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+ num_variants_per_mask: 1
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+ rigidness_mode: 1
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+ max_foreground_coverage: 0.3
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+ max_foreground_intersection: 0.7
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+ max_mask_intersection: 0.1
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+ max_hidden_area: 0.1
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+ max_scale_change: 0.25
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+ horizontal_flip: true
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+ max_vertical_shift: 0.2
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+ position_shuffle: true
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+ transform_variant: distortions
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+ dataloader_kwargs:
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+ batch_size: ${data.batch_size}
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+ shuffle: true
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+ num_workers: ${data.num_workers}
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+ val:
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+ indir: ${location.data_root_dir}/val
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+ img_suffix: .png
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+ dataloader_kwargs:
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+ batch_size: ${data.val_batch_size}
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+ shuffle: false
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+ num_workers: ${data.num_workers}
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+ visual_test:
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+ indir: ${location.data_root_dir}/korean_test
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+ img_suffix: _input.png
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+ pad_out_to_modulo: 32
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+ dataloader_kwargs:
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+ batch_size: 1
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+ shuffle: false
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+ num_workers: ${data.num_workers}
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+ generator:
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+ kind: ffc_resnet
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+ input_nc: 4
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+ output_nc: 3
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+ ngf: 64
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+ n_downsampling: 3
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+ n_blocks: 18
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+ add_out_act: sigmoid
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+ init_conv_kwargs:
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+ ratio_gin: 0
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+ ratio_gout: 0
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+ enable_lfu: false
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+ downsample_conv_kwargs:
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+ ratio_gin: ${generator.init_conv_kwargs.ratio_gout}
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+ ratio_gout: ${generator.downsample_conv_kwargs.ratio_gin}
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+ enable_lfu: false
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+ resnet_conv_kwargs:
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+ ratio_gin: 0.75
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+ ratio_gout: ${generator.resnet_conv_kwargs.ratio_gin}
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+ enable_lfu: false
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+ discriminator:
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+ kind: pix2pixhd_nlayer
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+ input_nc: 3
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+ ndf: 64
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+ n_layers: 4
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+ evaluator:
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+ kind: default
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+ inpainted_key: inpainted
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+ integral_kind: ssim_fid100_f1
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+ trainer:
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+ kwargs:
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+ gpus: -1
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+ accelerator: ddp
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+ max_epochs: 200
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+ gradient_clip_val: 1
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+ log_gpu_memory: None
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+ limit_train_batches: 25000
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+ val_check_interval: ${trainer.kwargs.limit_train_batches}
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+ log_every_n_steps: 1000
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+ precision: 32
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+ terminate_on_nan: false
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+ check_val_every_n_epoch: 1
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+ num_sanity_val_steps: 8
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+ limit_val_batches: 1000
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+ replace_sampler_ddp: false
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+ checkpoint_kwargs:
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+ verbose: true
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+ save_top_k: 5
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+ save_last: true
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+ period: 1
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+ monitor: val_ssim_fid100_f1_total_mean
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+ mode: max