Add imports and checkpoint

inference.json

@@ -1,9 +1,14 @@
 {
+    "imports": [
+        "$import glob",
+        "$import os"
+    ],
+    "cudnn_opt": "$setattr(torch.backends.cudnn, 'benchmark', True)",
     "dataset_dir": "/workspace/data/Task09_Spleen",
-    "ckpt_path": "/workspace/data//spleen_segmentation/models/model.pt",
-    "log": "$__import__('logging').basicConfig(level=20)",
+    "ckpt_path": "/workspace/data/tutorials/modules/bundles/spleen_segmentation/models/model.pt",
+    "download_ckpt": "$monai.apps.utils.download_url('https://huggingface.co/MONAI/example_spleen_segmentation/resolve/main/model.pt', @ckpt_path)",
     "device": "$torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')",
-    "datalist": "$list(sorted(__import__('glob').glob(@dataset_dir + '/imagesTs/*.nii.gz')))",
+    "datalist": "$list(sorted(glob.glob(@dataset_dir + '/imagesTs/*.nii.gz')))",
     "network_def": {
         "_target_": "UNet",
         "spatial_dims": 3,
@@ -118,18 +123,19 @@
     "handlers": [
         {
             "_target_": "CheckpointLoader",
-            "_disabled_": "$not __import__('os').path.exists(@ckpt_path)",
+            "_requires_": "@download_ckpt",
+            "_disabled_": "$not os.path.exists(@ckpt_path)",
             "load_path": "@ckpt_path",
             "load_dict": {"model": "@network"}
         },
         {
             "_target_": "StatsHandler",
-            "_disabled_": "@log",
             "iteration_log": false
         }
     ],
     "evaluator": {
         "_target_": "SupervisedEvaluator",
+        "_requires_": "@cudnn_opt",
         "device": "@device",
         "val_data_loader": "@dataloader",
         "network": "@network",