diff --git a/ci/verify_tensorrt.py b/ci/verify_tensorrt.py
index ac34c623..25c3d62a 100644
--- a/ci/verify_tensorrt.py
+++ b/ci/verify_tensorrt.py
@@ -28,7 +28,7 @@ def verify_tensorrt(bundle_path: str, net_id: str, config_file: str, precision:
         trt_export(
             net_id=net_id,
             filepath=trt_model_path,
-            ckpt_file=os.path.join(bundle_path, "models/models.pt"),
+            ckpt_file=os.path.join(bundle_path, "models/model.pt"),
             meta_file=os.path.join(bundle_path, "configs/metadata.json"),
             config_file=os.path.join(bundle_path, config_file),
             precision=precision,
@@ -63,6 +63,7 @@ def verify_all_tensorrt_bundles(models_path="models"):
             except BaseException:
                 print(f"verify bundle {bundle} with precision {precision} failed.")
                 raise
+    print("all TensorRT supported bundles are verified correctly.")
 
 
 if __name__ == "__main__":
diff --git a/models/brats_mri_segmentation/configs/evaluate.json b/models/brats_mri_segmentation/configs/evaluate.json
index f4055182..52164d9c 100644
--- a/models/brats_mri_segmentation/configs/evaluate.json
+++ b/models/brats_mri_segmentation/configs/evaluate.json
@@ -85,8 +85,10 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/brats_mri_segmentation/configs/inference.json b/models/brats_mri_segmentation/configs/inference.json
index 02078b6b..e7dafc82 100644
--- a/models/brats_mri_segmentation/configs/inference.json
+++ b/models/brats_mri_segmentation/configs/inference.json
@@ -35,7 +35,8 @@
         "transforms": [
             {
                 "_target_": "LoadImaged",
-                "keys": "image"
+                "keys": "image",
+                "image_only": false
             },
             {
                 "_target_": "NormalizeIntensityd",
@@ -129,8 +130,10 @@
         "val_handlers": "@handlers",
         "amp": true
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/brats_mri_segmentation/configs/metadata.json b/models/brats_mri_segmentation/configs/metadata.json
index 11ad2f17..3900be80 100644
--- a/models/brats_mri_segmentation/configs/metadata.json
+++ b/models/brats_mri_segmentation/configs/metadata.json
@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.3.9",
+    "version": "0.4.0",
     "changelog": {
+        "0.4.0": "adapt to BundleWorkflow interface",
         "0.3.9": "black autofix format and add name tag",
         "0.3.8": "modify dataset key name",
         "0.3.7": "restructure readme to match updated template",
@@ -17,9 +18,9 @@
         "0.1.1": "update for MetaTensor",
         "0.1.0": "complete the model package"
     },
-    "monai_version": "1.0.1",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.22.4",
+    "monai_version": "1.2.0rc3",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
         "nibabel": "4.0.1",
         "pytorch-ignite": "0.4.9",
diff --git a/models/brats_mri_segmentation/configs/multi_gpu_train.json b/models/brats_mri_segmentation/configs/multi_gpu_train.json
index 893815cd..fd55dbc0 100644
--- a/models/brats_mri_segmentation/configs/multi_gpu_train.json
+++ b/models/brats_mri_segmentation/configs/multi_gpu_train.json
@@ -24,13 +24,17 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
-        "$@train#trainer.run()",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/brats_mri_segmentation/configs/train.json b/models/brats_mri_segmentation/configs/train.json
index 87fbd750..a543f2b0 100644
--- a/models/brats_mri_segmentation/configs/train.json
+++ b/models/brats_mri_segmentation/configs/train.json
@@ -60,7 +60,8 @@
                 "keys": [
                     "image",
                     "label"
-                ]
+                ],
+                "image_only": false
             },
             {
                 "_target_": "ConvertToMultiChannelBasedOnBratsClassesd",
@@ -318,9 +319,11 @@
             "amp": "@amp"
         }
     },
-    "training": [
+    "initialize": [
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/brats_mri_segmentation/docs/README.md b/models/brats_mri_segmentation/docs/README.md
index a80dc224..53ae3ded 100644
--- a/models/brats_mri_segmentation/docs/README.md
+++ b/models/brats_mri_segmentation/docs/README.md
@@ -69,24 +69,24 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
 
 #### Execute training:
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 #### Override the `train` config to execute multi-GPU training:
 ```
-torchrun --standalone --nnodes=1 --nproc_per_node=8 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=8 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']"
 ```
 
 Please note that the distributed training-related options depend on the actual running environment; thus, users may need to remove `--standalone`, modify `--nnodes`, or do some other necessary changes according to the machine used. For more details, please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html).
 
 #### Override the `train` config to execute evaluation with the trained model:
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json']" --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 #### Execute inference:
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 
 # References
diff --git a/models/endoscopic_inbody_classification/configs/evaluate.json b/models/endoscopic_inbody_classification/configs/evaluate.json
index 1a7b8dc5..a6b34c09 100644
--- a/models/endoscopic_inbody_classification/configs/evaluate.json
+++ b/models/endoscopic_inbody_classification/configs/evaluate.json
@@ -41,8 +41,10 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/endoscopic_inbody_classification/configs/inference.json b/models/endoscopic_inbody_classification/configs/inference.json
index 99f9e33c..37ddefea 100644
--- a/models/endoscopic_inbody_classification/configs/inference.json
+++ b/models/endoscopic_inbody_classification/configs/inference.json
@@ -4,7 +4,7 @@
         "$import os",
         "$import torch"
     ],
-    "bundle_root": "/workspace/bundle/endoscopic_inbody_classification",
+    "bundle_root": ".",
     "dataset_dir": "/workspace/data/endoscopic_inbody_classification",
     "test_json": "$@bundle_root+'/label/test_samples.json'",
     "test_fp": "$open(@test_json,'r', encoding='utf8')",
@@ -105,8 +105,10 @@
         "postprocessing": "@postprocessing",
         "val_handlers": "@handlers"
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/endoscopic_inbody_classification/configs/metadata.json b/models/endoscopic_inbody_classification/configs/metadata.json
index 5c27a59c..66a0ecaa 100644
--- a/models/endoscopic_inbody_classification/configs/metadata.json
+++ b/models/endoscopic_inbody_classification/configs/metadata.json
@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.3.6",
+    "version": "0.3.7",
     "changelog": {
+        "0.3.7": "adapt to BundleWorkflow interface",
         "0.3.6": "add name tag",
         "0.3.5": "fix a comment issue in the data_process script",
         "0.3.4": "add note for multi-gpu training with example dataset",
@@ -15,9 +16,9 @@
         "0.1.0": "complete the first version model package",
         "0.0.1": "initialize the model package structure"
     },
-    "monai_version": "1.0.1",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.22.4",
+    "monai_version": "1.2.0rc3",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
         "nibabel": "4.0.1",
         "pytorch-ignite": "0.4.9"
diff --git a/models/endoscopic_inbody_classification/configs/multi_gpu_train.json b/models/endoscopic_inbody_classification/configs/multi_gpu_train.json
index 893815cd..fd55dbc0 100644
--- a/models/endoscopic_inbody_classification/configs/multi_gpu_train.json
+++ b/models/endoscopic_inbody_classification/configs/multi_gpu_train.json
@@ -24,13 +24,17 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
-        "$@train#trainer.run()",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/endoscopic_inbody_classification/configs/train.json b/models/endoscopic_inbody_classification/configs/train.json
index 43c99bd1..ead5921d 100644
--- a/models/endoscopic_inbody_classification/configs/train.json
+++ b/models/endoscopic_inbody_classification/configs/train.json
@@ -4,7 +4,7 @@
         "$import json",
         "$import ignite"
     ],
-    "bundle_root": "/workspace/bundle/endoscopic_inbody_classification",
+    "bundle_root": ".",
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
     "dataset_dir": "/workspace/data/endoscopic_inbody_classification",
@@ -251,9 +251,11 @@
             "val_handlers": "@validate#handlers"
         }
     },
-    "training": [
-        "$monai.utils.set_determinism(seed=0)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$monai.utils.set_determinism(seed=123)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/endoscopic_inbody_classification/docs/README.md b/models/endoscopic_inbody_classification/docs/README.md
index c756d504..aaa001a6 100644
--- a/models/endoscopic_inbody_classification/docs/README.md
+++ b/models/endoscopic_inbody_classification/docs/README.md
@@ -75,19 +75,14 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
 #### Execute training:
 
 ```
-python -m monai.bundle run training \
-    --meta_file configs/metadata.json \
-    --config_file configs/train.json \
-    --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 #### 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.json','configs/multi_gpu_train.json']" \
-    --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run \
+    --config_file "['configs/train.json','configs/multi_gpu_train.json']"
 ```
 
 Please note that the distributed training-related options depend on the actual running environment; thus, users may need to remove `--standalone`, modify `--nnodes`, or do some other necessary changes according to the machine used. For more details, please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html).
@@ -97,19 +92,13 @@ In addition, if using the 20 samples example dataset, the preprocessing script w
 #### Override the `train` config to execute evaluation with the trained model:
 
 ```
-python -m monai.bundle run evaluating \
-    --meta_file configs/metadata.json \
-    --config_file "['configs/train.json','configs/evaluate.json']" \
-    --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 #### Execute inference:
 
 ```
-python -m monai.bundle run evaluating \
-    --meta_file configs/metadata.json \
-    --config_file configs/inference.json \
-    --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 The classification result of every images in `test.json` will be printed to the screen.
 
diff --git a/models/endoscopic_tool_segmentation/configs/evaluate.json b/models/endoscopic_tool_segmentation/configs/evaluate.json
index 79f9c902..cb3e8d29 100644
--- a/models/endoscopic_tool_segmentation/configs/evaluate.json
+++ b/models/endoscopic_tool_segmentation/configs/evaluate.json
@@ -68,8 +68,10 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/endoscopic_tool_segmentation/configs/inference.json b/models/endoscopic_tool_segmentation/configs/inference.json
index 3f6a66c9..31ec84f8 100644
--- a/models/endoscopic_tool_segmentation/configs/inference.json
+++ b/models/endoscopic_tool_segmentation/configs/inference.json
@@ -3,7 +3,7 @@
         "$import glob",
         "$import os"
     ],
-    "bundle_root": "/workspace/bundle/endoscopic_tool_segmentation",
+    "bundle_root": ".",
     "output_dir": "$@bundle_root + '/eval'",
     "dataset_dir": "/workspace/data/endoscopic_tool_dataset",
     "datalist": "$list(sorted(glob.glob(os.path.join(@dataset_dir,'test', '*', '*[!seg].jpg'))))",
@@ -130,8 +130,10 @@
         "postprocessing": "@postprocessing",
         "val_handlers": "@handlers"
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/endoscopic_tool_segmentation/configs/metadata.json b/models/endoscopic_tool_segmentation/configs/metadata.json
index 53af8afb..f45e9bb5 100644
--- a/models/endoscopic_tool_segmentation/configs/metadata.json
+++ b/models/endoscopic_tool_segmentation/configs/metadata.json
@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.4.3",
+    "version": "0.4.4",
     "changelog": {
+        "0.4.4": "adapt to BundleWorkflow interface",
         "0.4.3": "update this bundle to support TensorRT convert",
         "0.4.2": "support monai 1.2 new FlexibleUNet",
         "0.4.1": "add name tag",
@@ -15,8 +16,8 @@
         "0.0.1": "initialize the model package structure"
     },
     "monai_version": "1.2.0rc3",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.22.4",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
         "nibabel": "4.0.1",
         "pytorch-ignite": "0.4.9"
diff --git a/models/endoscopic_tool_segmentation/configs/multi_gpu_evaluate.json b/models/endoscopic_tool_segmentation/configs/multi_gpu_evaluate.json
index f6b6c6dc..0c28563d 100644
--- a/models/endoscopic_tool_segmentation/configs/multi_gpu_evaluate.json
+++ b/models/endoscopic_tool_segmentation/configs/multi_gpu_evaluate.json
@@ -15,14 +15,18 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#handlers#1#_disabled_": "$dist.get_rank() > 0",
-    "evaluating": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import logging",
-        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@validate#evaluator.run()",
+        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)"
+    ],
+    "run": [
+        "$@validate#evaluator.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/endoscopic_tool_segmentation/configs/multi_gpu_train.json b/models/endoscopic_tool_segmentation/configs/multi_gpu_train.json
index 8720788c..413eb86d 100644
--- a/models/endoscopic_tool_segmentation/configs/multi_gpu_train.json
+++ b/models/endoscopic_tool_segmentation/configs/multi_gpu_train.json
@@ -25,16 +25,20 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=123)",
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import logging",
         "$@train#trainer.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@train#trainer.run()",
+        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/endoscopic_tool_segmentation/configs/train.json b/models/endoscopic_tool_segmentation/configs/train.json
index da38d36d..43c7c06b 100644
--- a/models/endoscopic_tool_segmentation/configs/train.json
+++ b/models/endoscopic_tool_segmentation/configs/train.json
@@ -5,7 +5,7 @@
         "$import torch",
         "$import numpy as np"
     ],
-    "bundle_root": "/workspace/bundle/endoscopic_tool_segmentation",
+    "bundle_root": ".",
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
     "dataset_dir": "/workspace/data/endoscopic_tool_dataset",
@@ -274,9 +274,11 @@
             "val_handlers": "@validate#handlers"
         }
     },
-    "training": [
-        "$monai.utils.set_determinism(seed=0)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$monai.utils.set_determinism(seed=123)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/endoscopic_tool_segmentation/docs/README.md b/models/endoscopic_tool_segmentation/docs/README.md
index eabe33d1..86382d18 100644
--- a/models/endoscopic_tool_segmentation/docs/README.md
+++ b/models/endoscopic_tool_segmentation/docs/README.md
@@ -65,13 +65,13 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
 #### Execute training:
 
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 #### 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.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']"
 ```
 
 Please note that the distributed training-related options depend on the actual running environment; thus, users may need to remove `--standalone`, modify `--nnodes`, or do some other necessary changes according to the machine used. For more details, please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html).
@@ -79,19 +79,19 @@ Please note that the distributed training-related options depend on the actual r
 #### Override the `train` config to execute evaluation with the trained model:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json']" --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 #### Override the `train` config and `evaluate` config to execute multi-GPU evaluation:
 
 ```
-torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json','configs/multi_gpu_evaluate.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json','configs/multi_gpu_evaluate.json']"
 ```
 
 #### Execute inference:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 
 #### Export checkpoint to TorchScript file:
diff --git a/models/lung_nodule_ct_detection/configs/evaluate.json b/models/lung_nodule_ct_detection/configs/evaluate.json
index 1e37410a..2597dbe2 100644
--- a/models/lung_nodule_ct_detection/configs/evaluate.json
+++ b/models/lung_nodule_ct_detection/configs/evaluate.json
@@ -41,8 +41,10 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/lung_nodule_ct_detection/configs/inference.json b/models/lung_nodule_ct_detection/configs/inference.json
index 91743d95..9dce3725 100644
--- a/models/lung_nodule_ct_detection/configs/inference.json
+++ b/models/lung_nodule_ct_detection/configs/inference.json
@@ -5,7 +5,7 @@
         "$import glob",
         "$import os"
     ],
-    "bundle_root": "./",
+    "bundle_root": ".",
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
     "data_list_file_path": "$@bundle_root + '/LUNA16_datasplit/dataset_fold0.json'",
@@ -202,8 +202,10 @@
         "val_handlers": "@handlers",
         "amp": "@amp"
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/lung_nodule_ct_detection/configs/metadata.json b/models/lung_nodule_ct_detection/configs/metadata.json
index f94a3f1c..e35c57b2 100644
--- a/models/lung_nodule_ct_detection/configs/metadata.json
+++ b/models/lung_nodule_ct_detection/configs/metadata.json
@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.5.2",
+    "version": "0.5.3",
     "changelog": {
+        "0.5.3": "adapt to BundleWorkflow interface",
         "0.5.2": "black autofix format and add name tag",
         "0.5.1": "modify dataset key name",
         "0.5.0": "use detection inferer",
@@ -16,13 +17,13 @@
         "0.1.1": "add reference for LIDC dataset",
         "0.1.0": "complete the model package"
     },
-    "monai_version": "1.0.1",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.22.4",
+    "monai_version": "1.2.0rc3",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
         "nibabel": "4.0.1",
         "pytorch-ignite": "0.4.9",
-        "torchvision": "0.14.0"
+        "torchvision": "0.14.1"
     },
     "name": "Lung nodule CT detection",
     "task": "CT lung nodule detection",
diff --git a/models/lung_nodule_ct_detection/configs/train.json b/models/lung_nodule_ct_detection/configs/train.json
index b8ce458f..dde045a2 100644
--- a/models/lung_nodule_ct_detection/configs/train.json
+++ b/models/lung_nodule_ct_detection/configs/train.json
@@ -3,7 +3,7 @@
         "$import glob",
         "$import os"
     ],
-    "bundle_root": "./",
+    "bundle_root": ".",
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
     "data_list_file_path": "$@bundle_root + '/LUNA16_datasplit/dataset_fold0.json'",
@@ -446,10 +446,12 @@
             "amp": "@amp"
         }
     },
-    "training": [
+    "initialize": [
         "os.environ['CUDA_LAUNCH_BLOCKING']=1",
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/lung_nodule_ct_detection/docs/README.md b/models/lung_nodule_ct_detection/docs/README.md
index 620813eb..bcbe9f25 100644
--- a/models/lung_nodule_ct_detection/docs/README.md
+++ b/models/lung_nodule_ct_detection/docs/README.md
@@ -67,17 +67,17 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
 
 #### Execute training:
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 #### Override the `train` config to execute evaluation with the trained model:
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json']" --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 #### Execute inference on resampled LUNA16 images by setting `"whether_raw_luna16": false` in `inference.json`:
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 With the same command, we can execute inference on original LUNA16 images by setting `"whether_raw_luna16": true` in `inference.json`. Remember to also set `"data_list_file_path": "$@bundle_root + '/LUNA16_datasplit/mhd_original/dataset_fold0.json'"` and change `"dataset_dir"`.
 
diff --git a/models/pathology_nuclei_classification/configs/evaluate.json b/models/pathology_nuclei_classification/configs/evaluate.json
index 664de87a..e647b944 100644
--- a/models/pathology_nuclei_classification/configs/evaluate.json
+++ b/models/pathology_nuclei_classification/configs/evaluate.json
@@ -64,12 +64,14 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
+    "initialize": [
         "$import sys",
         "$sys.path.append(@bundle_root)",
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import scripts",
-        "$monai.data.register_writer('json', scripts.ClassificationWriter)",
+        "$monai.data.register_writer('json', scripts.ClassificationWriter)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/pathology_nuclei_classification/configs/inference.json b/models/pathology_nuclei_classification/configs/inference.json
index 0bde05ae..be93bbab 100644
--- a/models/pathology_nuclei_classification/configs/inference.json
+++ b/models/pathology_nuclei_classification/configs/inference.json
@@ -5,7 +5,7 @@
         "$import pathlib",
         "$import os"
     ],
-    "bundle_root": "/workspace/data/pathology_nuclei_classification",
+    "bundle_root": ".",
     "output_dir": "$@bundle_root + '/eval'",
     "dataset_dir": "/workspace/data/CoNSePNuclei",
     "images": "$list(sorted(glob.glob(@dataset_dir + '/Test/Images/*.png')))[:1]",
@@ -107,10 +107,12 @@
         "val_handlers": "@handlers",
         "amp": true
     },
-    "evaluating": [
+    "initialize": [
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import scripts",
-        "$monai.data.register_writer('json', scripts.ClassificationWriter)",
+        "$monai.data.register_writer('json', scripts.ClassificationWriter)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/pathology_nuclei_classification/configs/metadata.json b/models/pathology_nuclei_classification/configs/metadata.json
index 0b21fc9c..c27eb646 100644
--- a/models/pathology_nuclei_classification/configs/metadata.json
+++ b/models/pathology_nuclei_classification/configs/metadata.json
@@ -1,19 +1,21 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.0.5",
+    "version": "0.0.6",
     "changelog": {
+        "0.0.6": "adapt to BundleWorkflow interface",
         "0.0.5": "add name tag",
         "0.0.4": "Fix evaluation",
         "0.0.3": "Update to use MONAI 1.1.0",
         "0.0.2": "Update The Torch Vision Transform",
         "0.0.1": "initialize the model package structure"
     },
-    "monai_version": "1.1.0",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.21.2",
+    "monai_version": "1.2.0rc3",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
         "nibabel": "4.0.1",
-        "pytorch-ignite": "0.4.9"
+        "pytorch-ignite": "0.4.9",
+        "torchvision": "0.14.1"
     },
     "name": "Pathology nuclei classification",
     "task": "Pathology Nuclei classification",
diff --git a/models/pathology_nuclei_classification/configs/multi_gpu_evaluate.json b/models/pathology_nuclei_classification/configs/multi_gpu_evaluate.json
index bbc1270d..d2ce690f 100644
--- a/models/pathology_nuclei_classification/configs/multi_gpu_evaluate.json
+++ b/models/pathology_nuclei_classification/configs/multi_gpu_evaluate.json
@@ -15,18 +15,22 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#handlers#1#_disabled_": "$dist.get_rank() > 0",
-    "evaluating": [
+    "initialize": [
         "$import sys",
         "$sys.path.append(@bundle_root)",
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import logging",
         "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
         "$import scripts",
-        "$monai.data.register_writer('json', scripts.ClassificationWriter)",
-        "$@validate#evaluator.run()",
+        "$monai.data.register_writer('json', scripts.ClassificationWriter)"
+    ],
+    "run": [
+        "$@validate#evaluator.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/pathology_nuclei_classification/configs/multi_gpu_train.json b/models/pathology_nuclei_classification/configs/multi_gpu_train.json
index 335753c1..0d4702de 100644
--- a/models/pathology_nuclei_classification/configs/multi_gpu_train.json
+++ b/models/pathology_nuclei_classification/configs/multi_gpu_train.json
@@ -24,18 +24,22 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import sys",
         "$sys.path.append(@bundle_root)",
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=123)",
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import logging",
         "$@train#trainer.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@train#trainer.run()",
+        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/pathology_nuclei_classification/configs/train.json b/models/pathology_nuclei_classification/configs/train.json
index 7cfe776b..8dd74b4c 100644
--- a/models/pathology_nuclei_classification/configs/train.json
+++ b/models/pathology_nuclei_classification/configs/train.json
@@ -6,7 +6,7 @@
         "$import pathlib",
         "$import os"
     ],
-    "bundle_root": "/workspace/data/pathology_nuclei_classification",
+    "bundle_root": ".",
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
     "dataset_dir": "/workspace/data/CoNSePNuclei",
@@ -340,11 +340,13 @@
             "amp": true
         }
     },
-    "training": [
+    "initialize": [
         "$import sys",
         "$sys.path.append(@bundle_root)",
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/pathology_nuclei_classification/docs/README.md b/models/pathology_nuclei_classification/docs/README.md
index 956b170a..d1b77087 100644
--- a/models/pathology_nuclei_classification/docs/README.md
+++ b/models/pathology_nuclei_classification/docs/README.md
@@ -141,13 +141,13 @@ A graph showing the validation F1-score over 50 epochs.
 Execute training:
 
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 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.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']"
 ```
 
 Please note that the distributed training related options depend on the actual running environment, thus you may need to remove `--standalone`, modify `--nnodes` or do some other necessary changes according to the machine you used.
@@ -156,19 +156,19 @@ Please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/inte
 Override the `train` config to execute evaluation with the trained model:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json']" --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 Override the `train` config and `evaluate` config to execute multi-GPU evaluation:
 
 ```
-torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json','configs/multi_gpu_evaluate.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json','configs/multi_gpu_evaluate.json']"
 ```
 
 Execute inference:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 
 # Disclaimer
diff --git a/models/pathology_nuclei_segmentation_classification/configs/evaluate.json b/models/pathology_nuclei_segmentation_classification/configs/evaluate.json
index bd8f29ba..2a37bc1c 100644
--- a/models/pathology_nuclei_segmentation_classification/configs/evaluate.json
+++ b/models/pathology_nuclei_segmentation_classification/configs/evaluate.json
@@ -31,8 +31,10 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/pathology_nuclei_segmentation_classification/configs/inference.json b/models/pathology_nuclei_segmentation_classification/configs/inference.json
index 6c46ff3d..53c9adab 100644
--- a/models/pathology_nuclei_segmentation_classification/configs/inference.json
+++ b/models/pathology_nuclei_segmentation_classification/configs/inference.json
@@ -3,7 +3,7 @@
         "$import glob",
         "$import os"
     ],
-    "bundle_root": "$os.getcwd()",
+    "bundle_root": ".",
     "output_dir": "$os.path.join(@bundle_root, 'eval')",
     "dataset_dir": "/workspace/Data/Pathology/CoNSeP/Test/Images",
     "num_cpus": 2,
@@ -144,8 +144,10 @@
         "inferer": "@inferer",
         "amp": true
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/pathology_nuclei_segmentation_classification/configs/metadata.json b/models/pathology_nuclei_segmentation_classification/configs/metadata.json
index 3cce0bfc..1cbe27d7 100644
--- a/models/pathology_nuclei_segmentation_classification/configs/metadata.json
+++ b/models/pathology_nuclei_segmentation_classification/configs/metadata.json
@@ -1,14 +1,15 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_hovernet_20221124.json",
-    "version": "0.1.3",
+    "version": "0.1.4",
     "changelog": {
+        "0.1.4": "adapt to BundleWorkflow interface",
         "0.1.3": "add name tag",
         "0.1.2": "update the workflow figure",
         "0.1.1": "update to use monai 1.1.0",
         "0.1.0": "complete the model package"
     },
-    "monai_version": "1.1.0",
-    "pytorch_version": "1.13.0",
+    "monai_version": "1.2.0rc3",
+    "pytorch_version": "1.13.1",
     "numpy_version": "1.22.2",
     "optional_packages_version": {
         "scikit-image": "0.19.3",
diff --git a/models/pathology_nuclei_segmentation_classification/configs/multi_gpu_train.json b/models/pathology_nuclei_segmentation_classification/configs/multi_gpu_train.json
index 0663a3ae..586aa2b9 100644
--- a/models/pathology_nuclei_segmentation_classification/configs/multi_gpu_train.json
+++ b/models/pathology_nuclei_segmentation_classification/configs/multi_gpu_train.json
@@ -24,13 +24,17 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=321)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
-        "$@train#trainer.run()",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/pathology_nuclei_segmentation_classification/configs/train.json b/models/pathology_nuclei_segmentation_classification/configs/train.json
index 9e359c6a..d3042f8f 100644
--- a/models/pathology_nuclei_segmentation_classification/configs/train.json
+++ b/models/pathology_nuclei_segmentation_classification/configs/train.json
@@ -4,7 +4,7 @@
         "$import os",
         "$import skimage"
     ],
-    "bundle_root": "$os.getcwd()",
+    "bundle_root": ".",
     "ckpt_dir_stage0": "$os.path.join(@bundle_root, 'models', 'stage0')",
     "ckpt_dir_stage1": "$os.path.join(@bundle_root, 'models')",
     "ckpt_path_stage0": "$os.path.join(@ckpt_dir_stage0, 'model.pt')",
@@ -517,9 +517,11 @@
             "amp": "@amp"
         }
     },
-    "training": [
+    "initialize": [
         "$monai.utils.set_determinism(seed=321)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/pathology_nuclei_segmentation_classification/docs/README.md b/models/pathology_nuclei_segmentation_classification/docs/README.md
index d16ce578..cd5c67b0 100644
--- a/models/pathology_nuclei_segmentation_classification/docs/README.md
+++ b/models/pathology_nuclei_segmentation_classification/docs/README.md
@@ -88,13 +88,13 @@ Execute training:
 - Run first stage
 
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf --network_def#pretrained_url `PRETRAIN_MODEL_URL` --stage 0
+python -m monai.bundle run --config_file configs/train.json --network_def#pretrained_url `PRETRAIN_MODEL_URL` --stage 0
 ```
 
 - Run second stage
 
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf --network_def#freeze_encoder false --network_def#pretrained_url None --stage 1
+python -m monai.bundle run --config_file configs/train.json --network_def#freeze_encoder false --network_def#pretrained_url None --stage 1
 ```
 
 Override the `train` config to execute multi-GPU training:
@@ -102,25 +102,25 @@ Override the `train` config to execute multi-GPU training:
 - Run first stage
 
 ```
-torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf --train#dataloader#batch_size 8 --network_def#freeze_encoder true --network_def#pretrained_url `PRETRAIN_MODEL_URL` --stage 0
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']" --train#dataloader#batch_size 8 --network_def#freeze_encoder true --network_def#pretrained_url `PRETRAIN_MODEL_URL` --stage 0
 ```
 
 - Run second stage
 
 ```
-torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run training --meta_file configs/metadata.json --config_file "['configs/train.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf --train#dataloader#batch_size 4 --network_def#freeze_encoder false --network_def#pretrained_url None --stage 1
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']" --train#dataloader#batch_size 4 --network_def#freeze_encoder false --network_def#pretrained_url None --stage 1
 ```
 
 Override the `train` config to execute evaluation with the trained model:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json']" --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 ### Execute inference
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 
 # Disclaimer
diff --git a/models/pathology_nuclick_annotation/configs/evaluate.json b/models/pathology_nuclick_annotation/configs/evaluate.json
index 158c9c82..97970daf 100644
--- a/models/pathology_nuclick_annotation/configs/evaluate.json
+++ b/models/pathology_nuclick_annotation/configs/evaluate.json
@@ -49,10 +49,12 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
+    "initialize": [
         "$import sys",
         "$sys.path.append(@bundle_root)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/pathology_nuclick_annotation/configs/inference.json b/models/pathology_nuclick_annotation/configs/inference.json
index fa9caba7..32d0e4ac 100644
--- a/models/pathology_nuclick_annotation/configs/inference.json
+++ b/models/pathology_nuclick_annotation/configs/inference.json
@@ -5,7 +5,7 @@
         "$import pathlib",
         "$import os"
     ],
-    "bundle_root": "/workspace/data/pathology_nuclick_annotation",
+    "bundle_root": ".",
     "output_dir": "$@bundle_root + '/eval'",
     "dataset_dir": "/workspace/data/CoNSePNuclei",
     "images": "$list(sorted(glob.glob(@dataset_dir + '/Test/Images/*.png')))[:1]",
@@ -123,8 +123,10 @@
         "val_handlers": "@handlers",
         "amp": true
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/pathology_nuclick_annotation/configs/metadata.json b/models/pathology_nuclick_annotation/configs/metadata.json
index 309eaea9..33c56a70 100644
--- a/models/pathology_nuclick_annotation/configs/metadata.json
+++ b/models/pathology_nuclick_annotation/configs/metadata.json
@@ -1,19 +1,21 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.0.5",
+    "version": "0.0.6",
     "changelog": {
+        "0.0.6": "adapt to BundleWorkflow interface",
         "0.0.5": "add name tag",
         "0.0.4": "Fix evaluation",
         "0.0.3": "Update to use MONAI 1.1.0",
         "0.0.2": "Update The Torch Vision Transform",
         "0.0.1": "initialize the model package structure"
     },
-    "monai_version": "1.1.0",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.21.2",
+    "monai_version": "1.2.0rc3",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
         "nibabel": "4.0.1",
-        "pytorch-ignite": "0.4.9"
+        "pytorch-ignite": "0.4.9",
+        "torchvision": "0.14.1"
     },
     "name": "Pathology nuclick annotation",
     "task": "Pathology Nuclick annotation",
diff --git a/models/pathology_nuclick_annotation/configs/multi_gpu_evaluate.json b/models/pathology_nuclick_annotation/configs/multi_gpu_evaluate.json
index 188d6a46..840a9bfa 100644
--- a/models/pathology_nuclick_annotation/configs/multi_gpu_evaluate.json
+++ b/models/pathology_nuclick_annotation/configs/multi_gpu_evaluate.json
@@ -15,16 +15,20 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#handlers#1#_disabled_": "$dist.get_rank() > 0",
-    "evaluating": [
+    "initialize": [
         "$import sys",
         "$sys.path.append(@bundle_root)",
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import logging",
-        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@validate#evaluator.run()",
+        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)"
+    ],
+    "run": [
+        "$@validate#evaluator.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/pathology_nuclick_annotation/configs/multi_gpu_train.json b/models/pathology_nuclick_annotation/configs/multi_gpu_train.json
index 335753c1..0d4702de 100644
--- a/models/pathology_nuclick_annotation/configs/multi_gpu_train.json
+++ b/models/pathology_nuclick_annotation/configs/multi_gpu_train.json
@@ -24,18 +24,22 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import sys",
         "$sys.path.append(@bundle_root)",
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=123)",
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import logging",
         "$@train#trainer.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@train#trainer.run()",
+        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/pathology_nuclick_annotation/configs/train.json b/models/pathology_nuclick_annotation/configs/train.json
index 4fdb373a..35612e17 100644
--- a/models/pathology_nuclick_annotation/configs/train.json
+++ b/models/pathology_nuclick_annotation/configs/train.json
@@ -6,7 +6,7 @@
         "$import pathlib",
         "$import os"
     ],
-    "bundle_root": "/workspace/data/pathology_nuclick_annotation",
+    "bundle_root": ".",
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
     "dataset_dir": "/workspace/data/CoNSePNuclei",
@@ -318,11 +318,13 @@
             "amp": true
         }
     },
-    "training": [
+    "initialize": [
         "$import sys",
         "$sys.path.append(@bundle_root)",
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/pathology_nuclick_annotation/docs/README.md b/models/pathology_nuclick_annotation/docs/README.md
index be81fc40..67d8663a 100644
--- a/models/pathology_nuclick_annotation/docs/README.md
+++ b/models/pathology_nuclick_annotation/docs/README.md
@@ -120,13 +120,13 @@ A graph showing the validation mean Dice over 50 epochs.
 Execute training:
 
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 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.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']"
 ```
 
 Please note that the distributed training related options depend on the actual running environment, thus you may need to remove `--standalone`, modify `--nnodes` or do some other necessary changes according to the machine you used.
@@ -135,19 +135,19 @@ Please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/inte
 Override the `train` config to execute evaluation with the trained model:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json']" --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 Override the `train` config and `evaluate` config to execute multi-GPU evaluation:
 
 ```
-torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json','configs/multi_gpu_evaluate.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json','configs/multi_gpu_evaluate.json']"
 ```
 
 Execute inference:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 
 # Disclaimer
diff --git a/models/pathology_tumor_detection/configs/inference.json b/models/pathology_tumor_detection/configs/inference.json
index f6a5b1f8..8694c6f9 100644
--- a/models/pathology_tumor_detection/configs/inference.json
+++ b/models/pathology_tumor_detection/configs/inference.json
@@ -125,8 +125,10 @@
         "amp": true,
         "decollate": false
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/pathology_tumor_detection/configs/metadata.json b/models/pathology_tumor_detection/configs/metadata.json
index dcdaaf79..5019315c 100644
--- a/models/pathology_tumor_detection/configs/metadata.json
+++ b/models/pathology_tumor_detection/configs/metadata.json
@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.4.8",
+    "version": "0.4.9",
     "changelog": {
+        "0.4.9": "adapt to BundleWorkflow interface",
         "0.4.8": "update the readme file with TensorRT convert",
         "0.4.7": "add name tag",
         "0.4.6": "modify dataset key name",
@@ -20,12 +21,12 @@
         "0.1.0": "initialize release of the bundle"
     },
     "monai_version": "1.2.0rc3",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.21.2",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
-        "cucim": "22.04",
+        "cucim": "22.8.1",
         "pandas": "1.3.5",
-        "torchvision": "0.14.0"
+        "torchvision": "0.14.1"
     },
     "name": "Pathology tumor detection",
     "task": "Pathology metastasis detection",
diff --git a/models/pathology_tumor_detection/configs/multi_gpu_train.json b/models/pathology_tumor_detection/configs/multi_gpu_train.json
index 893815cd..fd55dbc0 100644
--- a/models/pathology_tumor_detection/configs/multi_gpu_train.json
+++ b/models/pathology_tumor_detection/configs/multi_gpu_train.json
@@ -24,13 +24,17 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
-        "$@train#trainer.run()",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/pathology_tumor_detection/configs/train.json b/models/pathology_tumor_detection/configs/train.json
index b92a2e24..8fca5781 100644
--- a/models/pathology_tumor_detection/configs/train.json
+++ b/models/pathology_tumor_detection/configs/train.json
@@ -371,9 +371,11 @@
             "amp": true
         }
     },
-    "training": [
+    "initialize": [
         "$monai.utils.set_determinism(seed=15)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/pathology_tumor_detection/docs/README.md b/models/pathology_tumor_detection/docs/README.md
index 560c1a8b..b3e8682f 100644
--- a/models/pathology_tumor_detection/docs/README.md
+++ b/models/pathology_tumor_detection/docs/README.md
@@ -85,13 +85,13 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
 #### Execute training
 
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 #### 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.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']"
 ```
 
 Please note that the distributed training-related options depend on the actual running environment; thus, users may need to remove `--standalone`, modify `--nnodes`, or do some other necessary changes according to the machine used. For more details, please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html).
@@ -99,7 +99,7 @@ Please note that the distributed training-related options depend on the actual r
 #### Execute inference
 
 ```
-CUDA_LAUNCH_BLOCKING=1 python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+CUDA_LAUNCH_BLOCKING=1 python -m monai.bundle run --config_file configs/inference.json
 ```
 
 #### Evaluate FROC metric
diff --git a/models/pathology_tumor_detection/scripts/lesion_froc.py b/models/pathology_tumor_detection/scripts/lesion_froc.py
index 2d11d732..0640675e 100644
--- a/models/pathology_tumor_detection/scripts/lesion_froc.py
+++ b/models/pathology_tumor_detection/scripts/lesion_froc.py
@@ -17,7 +17,7 @@ def load_data(ground_truth_dir: str, eval_dir: str, level: int, spacing: float):
     for prob_name in prob_files:
         if prob_name.endswith(".npy"):
             sample = {
-                "tumor_mask": full_path(ground_truth_dir, prob_name[:-4]),
+                "tumor_mask": full_path(ground_truth_dir, prob_name.replace("npy", "tif")),
                 "prob_map": full_path(eval_dir, prob_name),
                 "level": level,
                 "pixel_spacing": spacing,
diff --git a/models/spleen_ct_segmentation/configs/metadata.json b/models/spleen_ct_segmentation/configs/metadata.json
index 30ce3e46..d9b3cb0e 100644
--- a/models/spleen_ct_segmentation/configs/metadata.json
+++ b/models/spleen_ct_segmentation/configs/metadata.json
@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.4.1",
+    "version": "0.4.2",
     "changelog": {
+        "0.4.2": "use torch 1.13.1",
         "0.4.1": "update the readme file with TensorRT convert",
         "0.4.0": "fix multi-gpu train config typo",
         "0.3.9": "adapt to BundleWorkflow interface",
@@ -20,8 +21,8 @@
         "0.0.1": "initialize the model package structure"
     },
     "monai_version": "1.2.0rc3",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.21.2",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
         "nibabel": "4.0.1",
         "pytorch-ignite": "0.4.9"
diff --git a/models/spleen_deepedit_annotation/configs/evaluate.json b/models/spleen_deepedit_annotation/configs/evaluate.json
index f47d97ee..e349832d 100644
--- a/models/spleen_deepedit_annotation/configs/evaluate.json
+++ b/models/spleen_deepedit_annotation/configs/evaluate.json
@@ -57,8 +57,10 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/spleen_deepedit_annotation/configs/inference.json b/models/spleen_deepedit_annotation/configs/inference.json
index 059c9e0d..6ed1b8b2 100644
--- a/models/spleen_deepedit_annotation/configs/inference.json
+++ b/models/spleen_deepedit_annotation/configs/inference.json
@@ -4,7 +4,7 @@
         "$import os",
         "$import ignite"
     ],
-    "bundle_root": "/workspace/tutorials/deepedit/deepedit_bundle",
+    "bundle_root": ".",
     "output_dir": "$@bundle_root + '/eval'",
     "dataset_dir": "/workspace/Datasets/MSD_datasets/Task09_Spleen",
     "datalist": "$list(sorted(glob.glob(@dataset_dir + '/imagesTs/*.nii.gz')))",
@@ -176,8 +176,10 @@
         "val_handlers": "@handlers",
         "amp": true
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/spleen_deepedit_annotation/configs/metadata.json b/models/spleen_deepedit_annotation/configs/metadata.json
index aea699e8..0b284b3f 100644
--- a/models/spleen_deepedit_annotation/configs/metadata.json
+++ b/models/spleen_deepedit_annotation/configs/metadata.json
@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.3.7",
+    "version": "0.3.8",
     "changelog": {
+        "0.3.8": "adapt to BundleWorkflow interface",
         "0.3.7": "add name tag",
         "0.3.6": "restructure readme to match updated template",
         "0.3.5": "update metric in metadata",
@@ -14,9 +15,9 @@
         "0.1.0": "complete the model package",
         "0.0.1": "initialize the model package structure"
     },
-    "monai_version": "1.0.1",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.21.2",
+    "monai_version": "1.2.0rc3",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
         "nibabel": "4.0.1",
         "pytorch-ignite": "0.4.9",
diff --git a/models/spleen_deepedit_annotation/configs/multi_gpu_train.json b/models/spleen_deepedit_annotation/configs/multi_gpu_train.json
index 893815cd..fd55dbc0 100644
--- a/models/spleen_deepedit_annotation/configs/multi_gpu_train.json
+++ b/models/spleen_deepedit_annotation/configs/multi_gpu_train.json
@@ -24,13 +24,17 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
-        "$@train#trainer.run()",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/spleen_deepedit_annotation/configs/train.json b/models/spleen_deepedit_annotation/configs/train.json
index ae2e1af3..7d831dac 100644
--- a/models/spleen_deepedit_annotation/configs/train.json
+++ b/models/spleen_deepedit_annotation/configs/train.json
@@ -4,7 +4,7 @@
         "$import os",
         "$import ignite"
     ],
-    "bundle_root": "/workspace/tutorials/deepedit/deepedit_bundle",
+    "bundle_root": ".",
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
     "dataset_dir": "/workspace/Datasets/MSD_datasets/Task09_Spleen",
@@ -425,9 +425,11 @@
             "amp": true
         }
     },
-    "training": [
+    "initialize": [
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/spleen_deepedit_annotation/docs/README.md b/models/spleen_deepedit_annotation/docs/README.md
index a9cbc717..80668334 100644
--- a/models/spleen_deepedit_annotation/docs/README.md
+++ b/models/spleen_deepedit_annotation/docs/README.md
@@ -55,13 +55,13 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
 #### Execute training:
 
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 #### 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.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']"
 ```
 
 Please note that the distributed training-related options depend on the actual running environment; thus, users may need to remove `--standalone`, modify `--nnodes`, or do some other necessary changes according to the machine used. For more details, please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html).
@@ -69,13 +69,13 @@ Please note that the distributed training-related options depend on the actual r
 ####  Override the `train` config to execute evaluation with the trained model:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json']" --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 ####  Execute inference:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 
 # References
diff --git a/models/swin_unetr_btcv_segmentation/configs/evaluate.json b/models/swin_unetr_btcv_segmentation/configs/evaluate.json
index 8094921f..addffe62 100644
--- a/models/swin_unetr_btcv_segmentation/configs/evaluate.json
+++ b/models/swin_unetr_btcv_segmentation/configs/evaluate.json
@@ -70,8 +70,10 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/swin_unetr_btcv_segmentation/configs/inference.json b/models/swin_unetr_btcv_segmentation/configs/inference.json
index 5b382e28..d046106c 100644
--- a/models/swin_unetr_btcv_segmentation/configs/inference.json
+++ b/models/swin_unetr_btcv_segmentation/configs/inference.json
@@ -3,9 +3,9 @@
         "$import glob",
         "$import os"
     ],
-    "bundle_root": "/workspace/MONAI_Bundle/swin_unetr_btcv_segmentation/",
+    "bundle_root": ".",
     "output_dir": "$@bundle_root + '/eval'",
-    "dataset_dir": "/dataset/dataset0",
+    "dataset_dir": "/workspace/data/RawData/",
     "datalist": "$list(sorted(glob.glob(@dataset_dir + '/imagesTs/*.nii.gz')))",
     "device": "$torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')",
     "network_def": {
@@ -135,8 +135,10 @@
         "val_handlers": "@handlers",
         "amp": true
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/swin_unetr_btcv_segmentation/configs/metadata.json b/models/swin_unetr_btcv_segmentation/configs/metadata.json
index 1de4e9be..671593d7 100644
--- a/models/swin_unetr_btcv_segmentation/configs/metadata.json
+++ b/models/swin_unetr_btcv_segmentation/configs/metadata.json
@@ -1,7 +1,9 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.4.2",
+    "version": "0.4.4",
     "changelog": {
+        "0.4.4": "update numbers",
+        "0.4.3": "adapt to BundleWorkflow interface",
         "0.4.2": "fix train params of use_checkpoint",
         "0.4.1": "update params to supprot torch.jit.trace torchscript conversion",
         "0.4.0": "add name tag",
@@ -19,12 +21,12 @@
         "0.1.0": "complete the model package",
         "0.0.1": "initialize the model package structure"
     },
-    "monai_version": "1.0.1",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.21.2",
+    "monai_version": "1.2.0rc3",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
-        "nibabel": "3.2.1",
-        "pytorch-ignite": "0.4.8",
+        "nibabel": "4.0.1",
+        "pytorch-ignite": "0.4.9",
         "einops": "0.4.1"
     },
     "name": "Swin UNETR BTCV segmentation",
@@ -38,7 +40,7 @@
     "label_classes": "multi-channel data,0:background,1:spleen, 2:Right Kidney, 3:Left Kideny, 4:Gallbladder, 5:Esophagus, 6:Liver, 7:Stomach, 8:Aorta, 9:IVC, 10:Portal and Splenic Veins, 11:Pancreas, 12:Right adrenal gland, 13:Left adrenal gland",
     "pred_classes": "14 channels OneHot data, 0:background,1:spleen, 2:Right Kidney, 3:Left Kideny, 4:Gallbladder, 5:Esophagus, 6:Liver, 7:Stomach, 8:Aorta, 9:IVC, 10:Portal and Splenic Veins, 11:Pancreas, 12:Right adrenal gland, 13:Left adrenal gland",
     "eval_metrics": {
-        "mean_dice": 0.8269
+        "mean_dice": 0.812
     },
     "intended_use": "This is an example, not to be used for diagnostic purposes",
     "references": [
diff --git a/models/swin_unetr_btcv_segmentation/configs/multi_gpu_train.json b/models/swin_unetr_btcv_segmentation/configs/multi_gpu_train.json
index 893815cd..fd55dbc0 100644
--- a/models/swin_unetr_btcv_segmentation/configs/multi_gpu_train.json
+++ b/models/swin_unetr_btcv_segmentation/configs/multi_gpu_train.json
@@ -24,13 +24,17 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
-        "$@train#trainer.run()",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/swin_unetr_btcv_segmentation/configs/train.json b/models/swin_unetr_btcv_segmentation/configs/train.json
index e5694677..33c8d660 100644
--- a/models/swin_unetr_btcv_segmentation/configs/train.json
+++ b/models/swin_unetr_btcv_segmentation/configs/train.json
@@ -4,10 +4,10 @@
         "$import os",
         "$import ignite"
     ],
-    "bundle_root": "/workspace/MONAI_Bundle/swin_unetr_btcv_segmentation/",
+    "bundle_root": ".",
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
-    "dataset_dir": "/dataset/dataset0",
+    "dataset_dir": "/workspace/data/RawData/",
     "images": "$list(sorted(glob.glob(@dataset_dir + '/imagesTr/*.nii.gz')))",
     "labels": "$list(sorted(glob.glob(@dataset_dir + '/labelsTr/*.nii.gz')))",
     "val_interval": 5,
@@ -318,9 +318,11 @@
             "amp": true
         }
     },
-    "training": [
+    "initialize": [
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/swin_unetr_btcv_segmentation/docs/README.md b/models/swin_unetr_btcv_segmentation/docs/README.md
index a659935d..1d18f3bf 100644
--- a/models/swin_unetr_btcv_segmentation/docs/README.md
+++ b/models/swin_unetr_btcv_segmentation/docs/README.md
@@ -52,7 +52,7 @@ The training as performed with the following:
 - 13: Left adrenal gland
 
 ## Performance
-Dice score was used for evaluating the performance of the model. This model achieves a mean dice score of 0.8269
+Dice score was used for evaluating the performance of the model. This model achieves a mean dice score of 0.8120
 
 #### Training Loss
 ![The figure shows the training loss curve for 10K iterations.](https://developer.download.nvidia.com/assets/Clara/Images/monai_swin_unetr_btcv_segmentation_trainloss_v1.png)
@@ -69,13 +69,13 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
 #### Execute training:
 
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 #### 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.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']"
 ```
 
 Please note that the distributed training-related options depend on the actual running environment; thus, users may need to remove `--standalone`, modify `--nnodes`, or do some other necessary changes according to the machine used. For more details, please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html).
@@ -83,13 +83,13 @@ Please note that the distributed training-related options depend on the actual r
 #### Override the `train` config to execute evaluation with the trained model:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json']" --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 #### Execute inference:
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 
 #### Export checkpoint to TorchScript file:
diff --git a/models/wholeBody_ct_segmentation/configs/evaluate.json b/models/wholeBody_ct_segmentation/configs/evaluate.json
index 2860fc2a..0c6cc91c 100644
--- a/models/wholeBody_ct_segmentation/configs/evaluate.json
+++ b/models/wholeBody_ct_segmentation/configs/evaluate.json
@@ -8,31 +8,31 @@
                 "softmax": true
             },
             {
-                "_target_": "AsDiscreted",
+                "_target_": "Invertd",
                 "keys": [
                     "pred",
                     "label"
                 ],
-                "argmax": [
+                "transform": "@validate#preprocessing",
+                "orig_keys": "image",
+                "meta_key_postfix": "meta_dict",
+                "nearest_interp": [
                     true,
-                    false
+                    true
                 ],
-                "to_onehot": 105
+                "to_tensor": true
             },
             {
-                "_target_": "Invertd",
+                "_target_": "AsDiscreted",
                 "keys": [
                     "pred",
                     "label"
                 ],
-                "transform": "@validate#preprocessing",
-                "orig_keys": "image",
-                "meta_key_postfix": "meta_dict",
-                "nearest_interp": [
+                "argmax": [
                     true,
-                    true
+                    false
                 ],
-                "to_tensor": true
+                "to_onehot": 105
             },
             {
                 "_target_": "SaveImaged",
@@ -71,8 +71,10 @@
             "summary_ops": "*"
         }
     ],
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@validate#evaluator.run()"
     ]
 }
diff --git a/models/wholeBody_ct_segmentation/configs/inference.json b/models/wholeBody_ct_segmentation/configs/inference.json
index b17f4ce8..94ac74c7 100644
--- a/models/wholeBody_ct_segmentation/configs/inference.json
+++ b/models/wholeBody_ct_segmentation/configs/inference.json
@@ -152,8 +152,10 @@
         "val_handlers": "@handlers",
         "amp": true
     },
-    "evaluating": [
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+    "initialize": [
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@evaluator.run()"
     ]
 }
diff --git a/models/wholeBody_ct_segmentation/configs/metadata.json b/models/wholeBody_ct_segmentation/configs/metadata.json
index f5513a70..651b5630 100644
--- a/models/wholeBody_ct_segmentation/configs/metadata.json
+++ b/models/wholeBody_ct_segmentation/configs/metadata.json
@@ -1,13 +1,14 @@
 {
     "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": "adapt to BundleWorkflow interface and val metric",
         "0.1.0": "complete the model package",
         "0.0.1": "initialize the model package structure"
     },
-    "monai_version": "1.1.0",
-    "pytorch_version": "1.13.0",
-    "numpy_version": "1.21.2",
+    "monai_version": "1.2.0rc3",
+    "pytorch_version": "1.13.1",
+    "numpy_version": "1.22.2",
     "optional_packages_version": {
         "nibabel": "4.0.1",
         "pytorch-ignite": "0.4.9"
@@ -23,7 +24,7 @@
     "label_classes": "0 is the background, others are whole body segments",
     "pred_classes": "0 is the background, 104 other chanels are whole body segments",
     "eval_metrics": {
-        "mean_dice": 0.5
+        "mean_dice": 0.8
     },
     "intended_use": "This is an example, not to be used for diagnostic purposes",
     "references": [
diff --git a/models/wholeBody_ct_segmentation/configs/multi_gpu_evaluate.json b/models/wholeBody_ct_segmentation/configs/multi_gpu_evaluate.json
index f6b6c6dc..0c28563d 100644
--- a/models/wholeBody_ct_segmentation/configs/multi_gpu_evaluate.json
+++ b/models/wholeBody_ct_segmentation/configs/multi_gpu_evaluate.json
@@ -15,14 +15,18 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#handlers#1#_disabled_": "$dist.get_rank() > 0",
-    "evaluating": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import logging",
-        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@validate#evaluator.run()",
+        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)"
+    ],
+    "run": [
+        "$@validate#evaluator.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/wholeBody_ct_segmentation/configs/multi_gpu_train.json b/models/wholeBody_ct_segmentation/configs/multi_gpu_train.json
index 4161e527..fe16cbb0 100644
--- a/models/wholeBody_ct_segmentation/configs/multi_gpu_train.json
+++ b/models/wholeBody_ct_segmentation/configs/multi_gpu_train.json
@@ -24,16 +24,20 @@
     },
     "validate#dataloader#sampler": "@validate#sampler",
     "validate#evaluator#val_handlers": "$None if dist.get_rank() > 0 else @validate#handlers",
-    "training": [
+    "initialize": [
         "$import torch.distributed as dist",
-        "$dist.init_process_group(backend='nccl')",
+        "$dist.is_initialized() or dist.init_process_group(backend='nccl')",
         "$torch.cuda.set_device(@device)",
         "$monai.utils.set_determinism(seed=123)",
         "$setattr(torch.backends.cudnn, 'benchmark', True)",
         "$import logging",
         "$@train#trainer.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)",
-        "$@train#trainer.run()",
+        "$@validate#evaluator.logger.setLevel(logging.WARNING if dist.get_rank() > 0 else logging.INFO)"
+    ],
+    "run": [
+        "$@train#trainer.run()"
+    ],
+    "finalize": [
         "$dist.destroy_process_group()"
     ]
 }
diff --git a/models/wholeBody_ct_segmentation/configs/train.json b/models/wholeBody_ct_segmentation/configs/train.json
index 9e79afd6..8caf7d2e 100644
--- a/models/wholeBody_ct_segmentation/configs/train.json
+++ b/models/wholeBody_ct_segmentation/configs/train.json
@@ -414,9 +414,11 @@
             "amp": true
         }
     },
-    "training": [
+    "initialize": [
         "$monai.utils.set_determinism(seed=123)",
-        "$setattr(torch.backends.cudnn, 'benchmark', True)",
+        "$setattr(torch.backends.cudnn, 'benchmark', True)"
+    ],
+    "run": [
         "$@train#trainer.run()"
     ]
 }
diff --git a/models/wholeBody_ct_segmentation/docs/README.md b/models/wholeBody_ct_segmentation/docs/README.md
index 9a2b7fad..adb003b5 100644
--- a/models/wholeBody_ct_segmentation/docs/README.md
+++ b/models/wholeBody_ct_segmentation/docs/README.md
@@ -110,13 +110,13 @@ For more details usage instructions, visit the [MONAI Bundle Configuration Page]
 #### Execute training
 
 ```
-python -m monai.bundle run training --meta_file configs/metadata.json --config_file configs/train.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/train.json
 ```
 
 #### 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.json','configs/multi_gpu_train.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/multi_gpu_train.json']"
 ```
 
 Please note that the distributed training-related options depend on the actual running environment; thus, users may need to remove `--standalone`, modify `--nnodes`, or do some other necessary changes according to the machine used. For more details, please refer to [pytorch's official tutorial](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html).
@@ -124,24 +124,24 @@ Please note that the distributed training-related options depend on the actual r
 #### Override the `train` config to execute evaluation with the trained model
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json']" --logging_file configs/logging.conf
+python -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json']"
 ```
 
 #### Override the `train` config and `evaluate` config to execute multi-GPU evaluation
 
 ```
-torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file "['configs/train.json','configs/evaluate.json','configs/multi_gpu_evaluate.json']" --logging_file configs/logging.conf
+torchrun --standalone --nnodes=1 --nproc_per_node=2 -m monai.bundle run --config_file "['configs/train.json','configs/evaluate.json','configs/multi_gpu_evaluate.json']"
 ```
 
 #### Execute inference
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf
+python -m monai.bundle run --config_file configs/inference.json
 ```
 #### Execute inference with Data Samples
 
 ```
-python -m monai.bundle run evaluating --meta_file configs/metadata.json --config_file configs/inference.json --logging_file configs/logging.conf --datalist "['sampledata/imagesTr/s0037.nii.gz','sampledata/imagesTr/s0038.nii.gz']"
+python -m monai.bundle run --config_file configs/inference.json --datalist "['sampledata/imagesTr/s0037.nii.gz','sampledata/imagesTr/s0038.nii.gz']"
 ```