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run_title: '' |
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|
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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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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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|
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defaults: |
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- location: docker |
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- data: abl-04-256-mh-dist |
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- discriminator: pix2pixhd_nlayer |
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- optimizers: default_optimizers |
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- visualizer: directory |
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- evaluator: default_inpainted |
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- trainer: any_gpu_large_ssim_ddp_final |
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- hydra: overrides |
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|