transfer files

experiments/config_gno_inference.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_inference
+        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: 25
+        verbose: false
+  max_epochs: 1000
+  min_epochs: null
+  max_steps: -1
+  min_steps: null
+  overfit_batches: 0.0
+  log_every_n_steps: null
+  # inference_mode: true
+  default_root_dir: null
+  # accumulate_grad_batches: 2
+  # gradient_clip_val: 1.0
+model: 
+  class_path: ThermalSolver.graph_module.GraphSolver
+  init_args:
+    model_class_path: ThermalSolver.model.finite_difference.FiniteDifferenceStep
+    curriculum_learning: true
+    start_iters: 5
+    increase_every: 10
+    increase_rate: 2
+    max_iters: 2000
+    accumulation_iters: 320
+data: 
+  class_path: ThermalSolver.graph_datamodule.GraphDataModule
+  init_args:
+    hf_repo: "SISSAmathLab/thermal-conduction"
+    split_name: "1000_3_40x30"
+    batch_size: 10
+    train_size: 0.8
+    test_size: 0.1
+    test_size: 0.1
+    build_radial_graph: True
+    radius: 1.2
+    remove_boundary_edges: false
+optimizer: null
+lr_scheduler: null
+# ckpt_path: logs/test/version_2/checkpoints/best-checkpoint.ckpt