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Warning using RandAffined. torch.meshgrid: pass the indexing argument #3643

@phcerdan

Description

@phcerdan

Describe the bug
Warning is triggered when using RandAffined.
torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1640592431786/work/aten/src/ATen/native/TensorShape.cpp:2081.)

To Reproduce
Use RandAffined with pytorch 1.11

Environment

================================
Printing MONAI config...
================================
MONAI version: 0.9.dev2202
Numpy version: 1.21.2
Pytorch version: 1.11.0.dev20211227
MONAI flags: HAS_EXT = False, USE_COMPILED = False
MONAI rev id: f320c275fadb39b659274476fb35d450b8cfbdc0
MONAI __file__:~/miniconda3/lib/python3.9/site-packages/monai/__init__.py

Optional dependencies:
Pytorch Ignite version: 0.4.7
Nibabel version: 3.2.1
scikit-image version: NOT INSTALLED or UNKNOWN VERSION.
Pillow version: 8.4.0
Tensorboard version: 2.6.0
gdown version: NOT INSTALLED or UNKNOWN VERSION.
TorchVision version: 0.12.0.dev20211227
tqdm version: 4.61.2
lmdb version: NOT INSTALLED or UNKNOWN VERSION.
psutil version: NOT INSTALLED or UNKNOWN VERSION.
pandas version: 1.3.4
einops version: NOT INSTALLED or UNKNOWN VERSION.
transformers version: NOT INSTALLED or UNKNOWN VERSION.
mlflow 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: 1
Has CUDA: True
CUDA version: 11.3
cuDNN enabled: True
cuDNN version: 8200
Current device: 0
Library compiled for CUDA architectures: ['sm_37', 'sm_50', 'sm_60', 'sm_61', 'sm_70', 'sm_75', 'sm_80', 'sm_86', 'compute_37']
GPU 0 Name: NVIDIA GeForce RTX 3090
GPU 0 Is integrated: False
GPU 0 Is multi GPU board: False
GPU 0 Multi processor count: 82
GPU 0 Total memory (GB): 23.7
GPU 0 CUDA capability (maj.min): 8.6

Additional context
Add any other context about the problem here.

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