Hello, I was using the example Colab notebooks provided on the website for training a mobile net and Yolo-tiny networks on a custom dataset and converting it into a .blob file. However, since August 1st, 2022, the support for TensorFlow 1. x has been dropped, which rendered the earlier notebooks obsolete. Are there updated Colab notebooks I can find, else what are the code changes I need to perform to get the notebook working with tf2?
MobileNet Colab Notebooks for TensorFlow 2
The updated notebooks are available here - https://github.com/luxonis/depthai-ml-training
Kudos to the team for a super fast reply
- Edited
Hi,
I went to use the notebooks today following the link above and ran into the following issue which makes training very slow. Can this be looked at after the holiday?
2022-11-23 20:13:47.476326: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2022-11-23 20:13:47.476531: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2022-11-23 20:13:47.476670: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2022-11-23 20:13:47.476810: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2022-11-23 20:13:47.476941: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2022-11-23 20:13:47.477072: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2022-11-23 20:13:47.477231: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2022-11-23 20:13:47.477251: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1641] 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...
I only see a couple of cuda files there and then a lot of GLES, GLX, nvidia etc.
theDesertMoon I thought the team already updated the notebook, or is this a different error?
- Edited
erik Good morning!
This is a different error.
I was using the notebook at this link: https://github.com/luxonis/depthai-ml-training/blob/master/colab-notebooks/Easy_Object_Detection_With_Custom_Data_Demo_Training.ipynb
Hi theDesertMoon ,
I see, could you please open an Issue on that repo, for tracking purposes?
Thanks, Erik