model:
  class_path: watch.tasks.fusion.methods.HeterogeneousModel
  init_args:
    token_width: 16
    token_dim: 32
    position_encoder:
      class_path: watch.tasks.fusion.methods.heterogeneous.ScaleAgnostictPositionalEncoder
      init_args:
        in_dims: 3
        max_freq: 3
        num_freqs: 16
    backbone_encoder_depth: 6
    spatial_scale_base: 1.0
    temporal_scale_base: 1.0
    global_change_weight: 0.0
    global_class_weight: 0.0
    global_saliency_weight: 1.0
    saliency_loss: focal
    decoder: simple_conv
data:
  time_steps: 3
  chip_dims: 192 
  input_space_scale: 10GSD
trainer:
  callbacks:
    # - class_path: watch.utils.lightning_ext.callbacks.AutoResumer
    - class_path: pytorch_lightning.callbacks.ModelCheckpoint
      init_args:
        monitor: val_saliency_f1
        mode: max
        save_top_k: 5
        auto_insert_metric_name: true
    - class_path: pytorch_lightning.callbacks.ModelCheckpoint
      init_args:
        monitor: val_loss
        mode: min
        save_top_k: 5
        auto_insert_metric_name: true