Add model configuration

config.json

@@ -0,0 +1,57 @@
+{
+  "architectures": [
+    "UNetEx"
+  ],
+  "framework": "pytorch",
+  "model_name": "DeepCFD",
+  "model_type": "deepcfd",
+  "source_config": "config/config.yaml",
+  "root": {
+    "datapipe": {
+      "verbose": false,
+      "source": {
+        "data_dir": "./data/deepcfd",
+        "data_x_name": "dataX.pkl",
+        "data_y_name": "dataY.pkl"
+      },
+      "data": {
+        "split_ratio": 0.75,
+        "seed": 0
+      },
+      "dataloader": {
+        "batch_size": 1,
+        "num_workers": 0
+      }
+    },
+    "model": {
+      "name": "UNetEx",
+      "in_channels": 3,
+      "out_channels": 3,
+      "base_channels": 2,
+      "num_stages": 1,
+      "kernel_size": 3,
+      "bilinear": true,
+      "normtype": "none"
+    },
+    "training": {
+      "output_dir": "./weight",
+      "checkpoint_name": "best_model.pt",
+      "num_epochs": 1,
+      "lr": 0.001,
+      "weight_decay": 0.005,
+      "patience": 20,
+      "eval_interval": 1
+    },
+    "inference": {
+      "checkpoint_path": "./weight/best_model.pt",
+      "result_dir": "./result/deepcfd",
+      "num_visualize": 2
+    },
+    "fake_data": {
+      "num_samples": 4,
+      "height": 16,
+      "width": 16,
+      "seed": 42
+    }
+  }
+}