model:
  name: DEMNet
  scale: 5
  out_channels: 256
  kernel_size: 3
  in_channels: 1
data:
  name: "nasadem"
  root_dir: "/path/to/data"
  patch_size: 32
  batch_size: 64
  epochs: 100
optimizer:
  name: "adam"
  learning_rate: 0.00001
  eps: 0.0000001
  finetune_lr: 0.00001
summary:
  save_checkpoint_steps: 1
  keep_checkpoint_max: 1
train:
  name: "oop"