exp_name: backwarp_resize

mode: train

train_dataset:
  name: vimeo
  args:
    root_path: /mnt/nas/512_new
    split: train
    patch_size: 512
    flow: none
  loader:
    batch_size: 16
    num_workers: 8

test_dataset:
  name: vimeo
  args:
    root_path: /mnt/nas/vimeo_triplet
    split: val
  loader:
    batch_size: 16
    num_workers: 8

demo_dataset:
  name: demo
  args:
    root_path: ../data/animation
    split: animation

model:
  name: upr_net_mod
  args:
    pyr_level: 5
    nr_lvl_skipped: 0
    splat_mode: average


optimizer:
  name: adamW
  args: {lr: 0.000075, weight_decay: 1.e-4}

lr_scheduler:
  name: one_cycle_lr
  args:
    max_lr: 0.000075
    pct_start: 0.01
    cycle_momentum: False
    anneal_strategy: cos

loss:
  - {
    name: charbonnier,
    args: { weight: 1 }
  }
  - {
    name: ternary,
    args: { weight: 1 }
  }

max_epoch: 533

validate_every: 1
save_every: 10
vis_every: 20

seed: 1234

dist_url: env://
pretrained: ./pretrained/upr_backwarp_corr_resize_model.pth