implememt cli

run.py

@@ -1,38 +1,12 @@
 import torch
-from lightning import Trainer
-from ThermalSolver.module import GraphSolver
-from ThermalSolver.data_module import GraphDataModule
-from ThermalSolver.model.local_gno import GatingGNO
+from lightning.pytorch.cli import LightningCLI
+
+torch.set_float32_matmul_precision("medium")
 
 
 def main():
-    trainer = Trainer(
-        max_epochs=50, accelerator="cuda", devices=1, accumulate_grad_batches=3
-    )
-    data_module = GraphDataModule(
-        hf_repo="SISSAmathLab/thermal-conduction",
-        split_name="2000",
-        train_size=0.8,
-        val_size=0.1,
-        test_size=0.1,
-        batch_size=10,
-    )
-    data_module.prepare_data()
-    data_module.setup("fit")
-    model = GatingGNO(
-        x_ch_node=1, f_ch_node=1, hidden=16, layers=2, edge_ch=3, out_ch=1
-    )
-    solver = GraphSolver(model, unrolling_steps=64)
-
-    trainer.fit(
-        solver,
-        train_dataloaders=data_module.train_dataloader(),
-        val_dataloaders=data_module.val_dataloader(),
-    )
-    data_module.setup("test")
-    trainer.test(solver, dataloaders=data_module.test_dataloader())
+    LightningCLI(subclass_mode_data=True, subclass_mode_model=True)
 
 
 if __name__ == "__main__":
-    torch.set_float32_matmul_precision("medium")
     main()