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Please hold on the CUDA version for a while. Some important applications
are still not fully ready for CUDA 10. Since recently Nvidia started to
produce buggy software and buggy hardware, I think we should slow down
our pace and only update CUDA when necessary, or when the target version
has been extensively tested by it's user communities such as TensorFlow,
PyTorch, etc.

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