Update model configuration

config.json

@@ -1,70 +1,6 @@
 {
-  "architectures": [
-    "FNO1d",
-    "FNO2d",
-    "FNO3d"
-  ],
-  "framework": "pytorch",
-  "model_name": "PDENNEval",
-  "model_type": "pdenneval",
-  "source_config": "conf/config.yaml",
-  "fno_config": {
-    "datapipe": {
-      "source": {
-        "data_dir": "./data",
-        "file_name": "2D_DarcyFlow_beta0.1_Train.hdf5"
-      },
-      "verbose": true,
-      "data": {
-        "single_file": true,
-        "reduced_resolution": 1,
-        "reduced_resolution_t": 1,
-        "reduced_batch": 1,
-        "initial_step": 1,
-        "test_ratio": 0.1,
-        "pde_name": "2D_Darcy_Flow"
-      },
-      "dataloader": {
-        "batch_size": 2,
-        "num_workers": 0,
-        "pin_memory": false
-      }
-    },
-    "model": {
-      "name": "FNO",
-      "num_channels": 1,
-      "modes": 4,
-      "width": 8
-    },
-    "training": {
-      "output_dir": "./weight",
-      "if_training": true,
-      "continue_training": false,
-      "model_path": null,
-      "save_period": 1,
-      "seed": 0,
-      "training_type": "single",
-      "t_train": 2,
-      "epochs": 1,
-      "optimizer": {
-        "name": "Adam",
-        "lr": 0.001,
-        "weight_decay": 0.0001
-      },
-      "scheduler": {
-        "name": "StepLR",
-        "step_size": 100,
-        "gamma": 0.5
-      }
-    },
-    "inference": {
-      "checkpoint": "./weight/best_model.pt",
-      "output_dir": "./result/output",
-      "max_batches": 2
-    },
-    "result": {
-      "prediction_dir": "./result/output",
-      "output_dir": "./result"
-    }
-  }
+  "name": "FNO",
+  "num_channels": 1,
+  "modes": 4,
+  "width": 8
 }