Add model configuration

config.json

@@ -0,0 +1,70 @@
+{
+  "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"
+    }
+  }
+}