warning msgs `auto3dseg/notebooks/hpo_optuna.ipynb`

[2022-12-19T17:36:30.048Z] Running ./auto3dseg/notebooks/hpo_optuna.ipynb
[2022-12-19T17:36:30.048Z] Checking PEP8 compliance...
[2022-12-19T17:36:30.609Z] Running notebook...
[2022-12-19T17:36:30.609Z] Before:
[2022-12-19T17:36:30.609Z]     "max_epochs = 2\n",
[2022-12-19T17:36:30.609Z] After:
[2022-12-19T17:36:30.609Z]     "max_epochs = 1\n",
[2022-12-19T17:36:34.777Z] MONAI version: 1.1.0rc1+49.gb159ce78
[2022-12-19T17:36:34.777Z] Numpy version: 1.22.2
[2022-12-19T17:36:34.777Z] Pytorch version: 1.10.2+cu102
[2022-12-19T17:36:34.777Z] MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False
[2022-12-19T17:36:34.777Z] MONAI rev id: b159ce78d0ee14041e6f1f19f478394d91ab1d85
[2022-12-19T17:36:34.777Z] MONAI __file__: /home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/__init__.py
[2022-12-19T17:36:34.777Z] 
[2022-12-19T17:36:34.777Z] Optional dependencies:
[2022-12-19T17:36:34.777Z] Pytorch Ignite version: 0.4.10
[2022-12-19T17:36:34.777Z] Nibabel version: 4.0.2
[2022-12-19T17:36:34.777Z] scikit-image version: 0.19.3
[2022-12-19T17:36:34.777Z] Pillow version: 7.0.0
[2022-12-19T17:36:34.777Z] Tensorboard version: 2.11.0
[2022-12-19T17:36:34.777Z] gdown version: 4.6.0
[2022-12-19T17:36:34.777Z] TorchVision version: 0.11.3+cu102
[2022-12-19T17:36:34.777Z] tqdm version: 4.64.1
[2022-12-19T17:36:34.777Z] lmdb version: 1.3.0
[2022-12-19T17:36:34.777Z] psutil version: 5.9.2
[2022-12-19T17:36:34.777Z] pandas version: 1.1.5
[2022-12-19T17:36:34.777Z] einops version: 0.6.0
[2022-12-19T17:36:34.777Z] transformers version: 4.21.3
[2022-12-19T17:36:34.777Z] mlflow version: 2.0.1
[2022-12-19T17:36:34.777Z] pynrrd version: 1.0.0
[2022-12-19T17:36:34.777Z] 
[2022-12-19T17:36:34.777Z] For details about installing the optional dependencies, please visit:
[2022-12-19T17:36:34.777Z]     https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies
[2022-12-19T17:36:34.777Z] 
[2022-12-19T17:36:35.706Z] /opt/conda/lib/python3.8/site-packages/papermill/iorw.py:153: UserWarning: the file is not specified with any extension : -
[2022-12-19T17:36:35.706Z]   warnings.warn(
[2022-12-19T17:36:58.023Z] 
Executing:   0%|          | 0/23 [00:00<?, ?cell/s]
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Executing:  13%|█▎        | 3/23 [00:06<00:43,  2.16s/cell]
Executing:  22%|██▏       | 5/23 [00:09<00:35,  1.97s/cell]
Executing:  30%|███       | 7/23 [00:10<00:21,  1.35s/cell]
Executing:  57%|█████▋    | 13/23 [00:14<00:08,  1.21cell/s]
Executing:  91%|█████████▏| 21/23 [00:14<00:00,  2.64cell/s]2022-12-19 17:36:57.804411: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F AVX512_VNNI FMA
[2022-12-19T17:36:58.023Z] To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
[2022-12-19T17:36:58.023Z] 2022-12-19 17:36:57.947004: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
[2022-12-19T17:36:58.951Z] 2022-12-19 17:36:58.670627: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib/python3.8/site-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
[2022-12-19T17:36:58.951Z] 2022-12-19 17:36:58.670708: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib/python3.8/site-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
[2022-12-19T17:36:58.951Z] 2022-12-19 17:36:58.670715: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
[2022-12-19T17:37:01.470Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:01.470Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:01.470Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:01.470Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:01.470Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:02.837Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:02.837Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:02.837Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:02.837Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:02.837Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:02.837Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:04.728Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:04.728Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:04.728Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:04.728Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:04.728Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:04.728Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:06.579Z] 
Executing:  96%|█████████▌| 22/23 [00:30<00:00,  2.64cell/s]Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:06.579Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:06.579Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:06.579Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:06.579Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:06.579Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:08.471Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:08.471Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:08.471Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:08.471Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:08.471Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:08.471Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:08.471Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:10.358Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:10.358Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:10.358Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:10.358Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:10.358Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:12.244Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:12.244Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:12.244Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:12.244Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:12.244Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:14.130Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:14.130Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:14.130Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
[2022-12-19T17:37:14.130Z] Default upsampling behavior when mode=trilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.

Start with auto3dseg/notebooks/hpo_optuna.ipynb and reproduce its notebook check, focusing on the papermill and TensorFlow warnings shown in the report. Trace which warnings come from the notebook run rather than the environment, then verify the notebook check completes without the reported warning messages.