How to build TensorFlow GPU from Source Code

Environment Date: 2018.11.28 OS: Ubuntu 18.04 Graphic Card: NVIDIA Geforce 2080ti Python: 3.6.7 NVIDIA Drive & Cuda 10.0 rm /etc/apt/sources.list.d/cuda*; apt remove nvidia-cuda-toolkit; apt remove nvidia-*; apt update; apt-key adv –fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub; bash -c ‘echo “deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /” > /etc/apt/sources.list.d/cuda.list’; apt update; apt install nvidia-driver-410; apt install cuda-10-0; [.bashrc] export PATH=/usr/local/cuda/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH nvcc -V; …

My Frequently Used LaTeX Math

{x}^{2} superscript {x}_{i} subscript \boldsymbol{A} bold \frac{x}{y} fraction \pm ± \times × \text{-} short minus \cdots ⋯ \vdots ⋮ \begin{cases} 0 \\ 1 \end{cases} definition by Cases \left( \right) () \left{ \right} {} \; – a thick space \: – a medium space \, – a thin space \! – a negative thin space \alpha alpha …