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warning msgs `auto3dseg/notebooks/hpo_optuna.ipynb`
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[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: 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.
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Rechercherichtung
Beginne mit auto3dseg/notebooks/hpo_optuna.ipynb und reproduziere dessen Notebook-Prüfung, wobei du dich auf die im Bericht gezeigten papermill- und TensorFlow-Warnungen konzentrierst. Verfolge, welche Warnungen vom Notebook-Lauf und nicht von der Umgebung stammen, und verifiziere anschließend, dass die Notebook-Prüfung ohne die gemeldeten Warnmeldungen abgeschlossen wird.
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Bewertung
- Tech-Stack
- jupyter-notebook, python, pytorch, tensorflow
- Bereich
- machine-learning, testing-qa
- Issue-Typ
- Bug
- Schwierigkeit
- 3/5
- Geschätzter Aufwand
- 1-2 Tage
- Aktivitätsstatus
- Veraltet
- Klarheit
- Muss geklärt werden
- Anfängerfreundlichkeit
- 30/100