root:
  problem: "doublepipe"
  seed: 11
  output_names: ["u", "v", "p", "ro"]

  runtime:
    onescience_src: null

  data:
    n_train_per_bc: 25
    n_col_domain: 10000

  model:
    mean_function: "neural_network"
    nn_layers_base: [64, 64, 64, 64, 64]
    dtype: "float32"

  training:
    device: "auto"
    gpu: 0
    num_iter: 50000
    lr_default: 0.001
    diff_method: "Numerical"
    checkpoint_path: "./weight/gp_for_to.pt"
    output_dir: "./result/training"
    plot_outputs: true
    checkpoints: [1000, 10000, 20000, 30000, 40000, 50000]

  inference:
    device: "auto"
    gpu: 0
    checkpoint_path: "./weight/gp_for_to.pt"
    output_dir: "./result/inference"
    n_col_domain: 10000

  fake_data:
    problem: "doublepipe"
    n_train_per_bc: 25
    n_col_domain: 10000
    output_dir: "./data/fake"