fix data type issue in searching/training configurations

README.md

@@ -57,7 +57,7 @@ python -m monai.bundle run training --meta_file configs/metadata.json --config_f
 Override the `train` config to execute multi-GPU training:
 
 ```
-torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.yaml','configs/multi_gpu_train.yaml']" --logging_file configs/logging.conf
+torchrun --nnodes=1 --nproc_per_node=2 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.yaml','configs/multi_gpu_train.yaml']" --logging_file configs/logging.conf
 ```
 
 Override the `train` config to execute evaluation with the trained model:

configs/metadata.json

@@ -1,11 +1,12 @@
 {
     "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": "fix data type issue in searching/training configurations",
         "0.1.0": "complete the model package",
         "0.0.1": "initialize the model package structure"
     },
-    "monai_version": "0.9.0",
+    "monai_version": "0.9.1",
     "pytorch_version": "1.12.0",
     "numpy_version": "1.21.2",
     "optional_packages_version": {

configs/search.yaml

@@ -85,7 +85,7 @@ transform_train:
     - label4crop
   - _target_: Lambdad
     keys: label4crop
-    func: "$lambda x, s=@output_classes: np.concatenate(tuple([ndimage.binary_dilation((x==_k).astype(x.dtype), iterations=48).astype(x.dtype) for _k in range(s)]), axis=0)"
+    func: "$lambda x, s=@output_classes: np.concatenate(tuple([ndimage.binary_dilation((x==_k).astype(x.dtype), iterations=48).astype(float) for _k in range(s)]), axis=0)"
     overwrite: true
   - _target_: EnsureTyped
     keys:

configs/train.yaml

@@ -113,7 +113,7 @@ train:
   - _target_: Lambdad
     keys: label4crop
     func: "$lambda x, s=@output_classes: np.concatenate(tuple([ndimage.binary_dilation((x==_k).astype(x.dtype),
-      iterations=48).astype(x.dtype) for _k in range(s)]), axis=0)"
+      iterations=48).astype(float) for _k in range(s)]), axis=0)"
     overwrite: true
   - _target_: EnsureTyped
     keys:

docs/README.md

@@ -50,7 +50,7 @@ python -m monai.bundle run training --meta_file configs/metadata.json --config_f
 Override the `train` config to execute multi-GPU training:
 
 ```
-torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.yaml','configs/multi_gpu_train.yaml']" --logging_file configs/logging.conf
+torchrun --nnodes=1 --nproc_per_node=2 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.yaml','configs/multi_gpu_train.yaml']" --logging_file configs/logging.conf
 ```
 
 Override the `train` config to execute evaluation with the trained model: