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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}
defaults:
- location: docker
- data: abl-02-thin-bb
- generator: pix2pixhd_sigmoid
- discriminator: pix2pixhd_nlayer
- optimizers: default_optimizers
- visualizer: directory
- evaluator: default_inpainted
- trainer: any_gpu_large_ssim_ddp_final
- hydra: overrides |