transfer files

experiments/config_autoregressive.yaml

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+# lightning.pytorch==2.5.5
+seed_everything: 1999
+trainer:
+  accelerator: gpu
+  strategy: auto
+  devices: 1
+  num_nodes: 1
+  precision: null
+  logger:
+    - class_path: lightning.pytorch.loggers.TensorBoardLogger
+      init_args:
+        save_dir: logs.autoregressive
+        name: "test"
+        version: null
+  callbacks:
+    - class_path: lightning.pytorch.callbacks.ModelCheckpoint
+      init_args:
+        monitor: val/loss
+        mode: min
+        save_top_k: 1
+        filename: best-checkpoint
+    - class_path: lightning.pytorch.callbacks.EarlyStopping
+      init_args:
+        monitor: val/loss
+        mode: min
+        patience: 50
+        verbose: false
+  max_epochs: 1000
+  min_epochs: null
+  max_steps: -1
+  min_steps: null
+  overfit_batches: 0.0
+  log_every_n_steps: null
+  accumulate_grad_batches: 1
+  # reload_dataloaders_every_n_epochs: 1
+  default_root_dir: null
+
+model: 
+  class_path: ThermalSolver.autoregressive_module.GraphSolver
+  init_args:
+    model_class_path: ThermalSolver.model.learnable_finite_difference.CorrectionNet
+    model_init_args: 
+      input_dim: 1
+      hidden_dim: 24
+      # output_dim: 1
+      n_layers: 1
+    start_unrolling_steps: 1
+    increase_every: 100000
+    increase_rate: 2
+    max_inference_iters: 300
+    max_unrolling_steps: 40
+    inner_steps: 1
+
+data: 
+  class_path: ThermalSolver.graph_datamodule_unsteady.GraphDataModule
+  init_args:
+    hf_repo: "SISSAmathLab/thermal-conduction-unsteady"
+    split_name: "50_samples_easy"
+    batch_size: 64
+    train_size: 0.02
+    val_size: 0.02
+    test_size: 0.96
+    build_radial_graph: true
+    radius: 0.5
+    remove_boundary_edges: true
+    start_unrolling_steps: 1
+
+optimizer: null
+lr_scheduler: null
+# ckpt_path: logs/test/version_0/checkpoints/best-checkpoint.ckpt