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| #docker, start with port 9000 as in TF serving example on old commit https://gist.github.com/revilokeb/02894302701fcea7ef4e85a92514e246 | |
| nvidia-docker run --rm -ti -p 9000 -v /myhosthome:/mydockerhome tf_serving_old_commit_cuda7.5_cudnn5:latest bash | |
| #docker, upgrade six | |
| sudo pip install --upgrade six | |
| #docker, install grpcio | |
| sudo pip install grpcio | |
| #docker, download inception-v3 pre-trained model and export (https://tensorflow.github.io/serving/serving_inception.html) |
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| # following http://kislayabhi.github.io/Installing_CUDA_with_Ubuntu/ | |
| # Problem was the following: package installer always installed CUDA 8.0 | |
| # Run-File install as in https://devtalk.nvidia.com/default/topic/920308/how-to-install-cuda-7-5-with-the-newest-nvidia-driver-361-28-/ resulted in "login loop" | |
| # After setting up the OS in Ubuntu 14.04 there is initially only command line | |
| # Download: A reasonably up-to-date NVIDIA driver: http://www.nvidia.com/download/driverResults.aspx/98373/en-us#axzz41eljfR2P | |
| # Download: CUDA 7.5 Run-File: http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda_7.5.18_linux.run | |
| # Download: cuDNN 5.1 | |
| sudo apt-get install build-essential |
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