GPUs aren't registered

[TutubanaS]

First of all, thanks for blessing us with the notebook. I can run the training but the system skips GPU registering as the following

`2024-02-05 17:14:59.222201: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia
/usr/local/envs/myenv/lib/python3.9/site-packages/tensorflow_addons/utils/tfa_eol_msg.py:23: UserWarning:

TensorFlow Addons (TFA) has ended development and introduction of new features.
TFA has entered a minimal maintenance and release mode until a planned end of life in May 2024.
Please modify downstream libraries to take dependencies from other repositories in our TensorFlow community (e.g. Keras, Keras-CV, and Keras-NLP).

For more information see: tensorflow/addons#2807

warnings.warn(
/usr/local/envs/myenv/lib/python3.9/site-packages/tensorflow_addons/utils/ensure_tf_install.py:53: UserWarning: Tensorflow Addons supports using Python ops for all Tensorflow versions above or equal to 2.13.0 and strictly below 2.16.0 (nightly versions are not supported).
The versions of TensorFlow you are currently using is 2.8.4 and is not supported.
Some things might work, some things might not.
If you were to encounter a bug, do not file an issue.
If you want to make sure you're using a tested and supported configuration, either change the TensorFlow version or the TensorFlow Addons's version.
You can find the compatibility matrix in TensorFlow Addon's readme:
https://github.com/tensorflow/addons
warnings.warn(

Tensorflow Version:
2.8.4

2024-02-05 17:15:09.108545: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/envs/myenv/lib/python3.9/site-packages/cv2/../../lib64:/usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia
2024-02-05 17:15:09.108721: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublas.so.11'; dlerror: libcublas.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/envs/myenv/lib/python3.9/site-packages/cv2/../../lib64:/usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia
2024-02-05 17:15:09.108825: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublasLt.so.11'; dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/envs/myenv/lib/python3.9/site-packages/cv2/../../lib64:/usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia
2024-02-05 17:15:09.108911: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcufft.so.10'; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/envs/myenv/lib/python3.9/site-packages/cv2/../../lib64:/usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia
2024-02-05 17:15:09.151302: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusparse.so.11'; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/envs/myenv/lib/python3.9/site-packages/cv2/../../lib64:/usr/local/lib/python3.10/dist-packages/cv2/../../lib64:/usr/lib64-nvidia
2024-02-05 17:15:09.151609: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2024-02-05 17:15:22.455028: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.
Epoch 1/20 (continued with training here)'

I have enough Google Colab credits for V100 and A100, so they are indeed working in the runtime but as it seems like training.py doesn't use them. Is there a way to force the GPUs to work? Thanks :)

[MichelBerg]

I am also interessted for a solution, so I got the same request.😁 I tried some changes but they dont work as intended. Like following this guide https://www.tensorflow.org/install/gpu.