SaveImaged not working after upgrading MONAI from 0.8.1 to 1.0.1

[moonforsun]

Describe the bug
I upgraded the MONAI from 0.8.1 to 1.0.1.
Then my original yaml config as following that works on 0.8.1 does not work anymore on 1.0.1.

_target_: SaveImaged, keys: model_output_key, meta_keys: [ 'labels_meta_dict' ], data_root_dir: label_root_dir, output_dir: pred_output_dir, output_postfix: 'pred', separate_folder: False

Any help would be greatly appreciated!

Expected behavior
I expect the code to save the output to nii file.

Screenshots
Error trackback followed in the end.

Environment

Ensuring you use the relevant python executable, please paste the output of:

python -c 'import monai; monai.config.print_debug_info()'

================================
Printing MONAI config...

MONAI version: 1.0.1
Numpy version: 1.24.1
Pytorch version: 1.13.1+cu117
MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False
MONAI rev id: 8271a19
MONAI file: /home/ubuntu/.cache/pypoetry/virtualenvs/qbio-qbdl-D8V9KvtL-py3.8/lib/python3.8/site-packages/monai/init.py

Optional dependencies:
Pytorch Ignite version: NOT INSTALLED or UNKNOWN VERSION.
Nibabel version: 3.2.2
scikit-image version: 0.19.3
Pillow version: 9.4.0
Tensorboard version: NOT INSTALLED or UNKNOWN VERSION.
gdown version: NOT INSTALLED or UNKNOWN VERSION.
TorchVision version: 0.14.1+cu117
tqdm version: 4.64.1
lmdb version: NOT INSTALLED or UNKNOWN VERSION.
psutil version: NOT INSTALLED or UNKNOWN VERSION.
pandas version: NOT INSTALLED or UNKNOWN VERSION.
einops version: 0.5.0
transformers version: NOT INSTALLED or UNKNOWN VERSION.
mlflow version: NOT INSTALLED or UNKNOWN VERSION.
pynrrd version: NOT INSTALLED or UNKNOWN VERSION.

For details about installing the optional dependencies, please visit:
https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies

================================
Printing system config...

psutil required for print_system_info

================================
Printing GPU config...

Num GPUs: 4
Has CUDA: True
CUDA version: 11.7
cuDNN enabled: True
cuDNN version: 8500
Current device: 0
Library compiled for CUDA architectures: ['sm_37', 'sm_50', 'sm_60', 'sm_70', 'sm_75', 'sm_80', 'sm_86']
GPU 0 Name: NVIDIA A10G
GPU 0 Is integrated: False
GPU 0 Is multi GPU board: False
GPU 0 Multi processor count: 80
GPU 0 Total memory (GB): 22.2
GPU 0 CUDA capability (maj.min): 8.6
GPU 1 Name: NVIDIA A10G
GPU 1 Is integrated: False
GPU 1 Is multi GPU board: False
GPU 1 Multi processor count: 80
GPU 1 Total memory (GB): 22.2
GPU 1 CUDA capability (maj.min): 8.6
GPU 2 Name: NVIDIA A10G
GPU 2 Is integrated: False
GPU 2 Is multi GPU board: False
GPU 2 Multi processor count: 80
GPU 2 Total memory (GB): 22.2
GPU 2 CUDA capability (maj.min): 8.6
GPU 3 Name: NVIDIA A10G
GPU 3 Is integrated: False
GPU 3 Is multi GPU board: False
GPU 3 Multi processor count: 80
GPU 3 Total memory (GB): 22.2
GPU 3 CUDA capability (maj.min): 8.6

Additional context
Add any other context about the problem here.
Error traceback:

Traceback (most recent call last):
File "/home/ubuntu/.cache/pypoetry/virtualenvs/qbio-qbdl-D8V9KvtL-py3.8/lib/python3.8/site-packages/monai/transforms/transform.py", line 91, in apply_transform
return _apply_transform(transform, data, unpack_items)
File "/home/ubuntu/.cache/pypoetry/virtualenvs/qbio-qbdl-D8V9KvtL-py3.8/lib/python3.8/site-packages/monai/transforms/transform.py", line 55, in _apply_transform
return transform(parameters)
File "/home/ubuntu/.cache/pypoetry/virtualenvs/qbio-qbdl-D8V9KvtL-py3.8/lib/python3.8/site-packages/monai/transforms/io/dictionary.py", line 293, in call
self.saver(img=d[key], meta_data=meta_data)
File "/home/ubuntu/.cache/pypoetry/virtualenvs/qbio-qbdl-D8V9KvtL-py3.8/lib/python3.8/site-packages/monai/transforms/io/array.py", line 423, in call
subject = meta_data[Key.FILENAME_OR_OBJ] if meta_data else str(self._data_index)
KeyError: 'filename_or_obj'

[wyli]

perhaps remove any ToTensor transform in the preprocessing to preserve the metadata?

see also Project-MONAI/tutorials#881 and #4764