update for MetaTensor

configs/inference.json

@@ -42,10 +42,6 @@
                 "keys": "image",
                 "nonzero": true,
                 "channel_wise": true
-            },
-            {
-                "_target_": "ToTensord",
-                "keys": "image"
             }
         ]
     },

configs/metadata.json

@@ -1,15 +1,16 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.1.0",
+    "version": "0.1.1",
     "changelog": {
+        "0.1.1": "update for MetaTensor",
         "0.1.0": "complete the model package"
     },
-    "monai_version": "0.9.0",
+    "monai_version": "0.9.1",
     "pytorch_version": "1.12.0",
-    "numpy_version": "1.21.2",
+    "numpy_version": "1.22.4",
     "optional_packages_version": {
-        "nibabel": "3.2.1",
-        "pytorch-ignite": "0.4.8"
+        "nibabel": "4.0.1",
+        "pytorch-ignite": "0.4.9"
     },
     "task": "Multimodal Brain Tumor segmentation",
     "description": "A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data",

configs/train.json

@@ -127,18 +127,9 @@
                 "prob": 1.0
             }
         ],
-        "final_transforms": [
-            {
-                "_target_": "ToTensord",
-                "keys": [
-                    "image",
-                    "label"
-                ]
-            }
-        ],
         "preprocessing": {
             "_target_": "Compose",
-            "transforms": "$@train#preprocessing_transforms + @train#random_transforms + @train#final_transforms"
+            "transforms": "$@train#preprocessing_transforms + @train#random_transforms"
         },
         "dataset": {
             "_target_": "Dataset",
@@ -219,7 +210,7 @@
     "validate": {
         "preprocessing": {
             "_target_": "Compose",
-            "transforms": "$@train#preprocessing_transforms + @train#final_transforms"
+            "transforms": "$@train#preprocessing_transforms"
         },
         "dataset": {
             "_target_": "Dataset",