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run_title: ''
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
resnet_pl:
weight: 30
weights_path: ${env:TORCH_HOME}
generator:
kind: ffc_resnet
input_nc: 4
output_nc: 3
ngf: 64
n_downsampling: 3
n_blocks: 18
add_out_act: sigmoid
init_conv_kwargs:
ratio_gin: 0
ratio_gout: 0
enable_lfu: false
downsample_conv_kwargs:
ratio_gin: ${generator.init_conv_kwargs.ratio_gout}
ratio_gout: ${generator.downsample_conv_kwargs.ratio_gin}
enable_lfu: false
resnet_conv_kwargs:
ratio_gin: 0.75
ratio_gout: ${generator.resnet_conv_kwargs.ratio_gin}
enable_lfu: false
defaults:
- location: celeba
- data: abl-04-256-mh-dist-celeba
- discriminator: pix2pixhd_nlayer
- optimizers: default_optimizers
- visualizer: directory
- evaluator: default_inpainted
- trainer: any_gpu_large_ssim_ddp_final_celeba
- hydra: overrides
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