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Pytorch Jupyter Cuda Support #997
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Hi, the docker images of deepdetect provide a REST API on top of different machine learning libraries, they are not jupyter distributions. When you do
There is no involvement of deepdetect here, you are just loading the pytorch version shipped with your Jupyter. I'm not sure about what you trying to achieve. Did you install the complete deepdetect platform ? Or is it your own installation of Jupyter? |
I am a new starter of deepdetect, I was trying to use the complete dd_platform to train and forward PyTorch models. So, I installed the complete dd_platform and start the JupyterLab from the website. When I use the 'torch.cuda.is_available()' in the JupyterLab, I found it is not supported. Besides, in the Predict page. The Pytorch mllib is still not supported yet? |
The user of our platform does their machine learning works with deepdetect, and not directly with the underlying ml lib. I opened a PR to add access from Jupyter to the GPUs here jolibrain/dd_platform_docker#45. |
Thanks. jolibrain/dd_platform_docker#45. solves my question. For the ml lib, I think this is another question. How to use Pytorch in the 'Predict services'. |
Configuration
Your question / the problem you're facing:
I have tried jolibrain/deepdetect_gpu_torch:latest and jolibrain/deepdetect_gpu_torch:v0.11.0
but none of them works on pytorch cuda
How could I make it work?
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