model:
  name: "Transolver"
  specific_params:
    Transolver: &transolver_params
      n_hidden: 32
      n_layers: 2
      space_dim: 7
      fun_dim: 0
      n_head: 4
      mlp_ratio: 2
      out_dim: 4
      slice_num: 8
      unified_pos: 0
      build_graph: false
      r: 0.05
      max_neighbors: 32
    Transolver_plus: *transolver_params

datapipe:
  name: "AirfRANS"
  backend: "fake_airfrans"
  verbose: false
  source:
    data_dir: "./data/fake_airfrans"
    stats_dir: "./data/stats"
  data:
    splits:
      task: "fake"
      train_name: "train"
      val_name: "val"
      test_name: "test"
      val_split_ratio: 0.25
    sampling:
      sample_strategy: null
      n_boot: 128
      surf_ratio: 0.25
    crop: null
    subsampling: 64
  dataloader:
    batch_size: 1
    num_workers: 0

training:
  device: "cpu"
  max_epoch: 1
  lr: 0.001
  gpuid: 0
  patience: 20
  progress_log_interval: 5
  loss_criterion: "MSE_weighted"
  loss_weight: 1.0
  checkpoint_dir: "./weight"
  result_dir: "./result"
  n_test: 2
  seed: 42

fake_data:
  num_train: 4
  num_val: 2
  num_test: 2
  num_nodes: 64
  input_dim: 7
  output_dim: 4
  surface_ratio: 0.25