Deep Learning Workbench Installation Notes
CUDA 8.0
nVidia显卡驱动
更新一下
$ sudo apt-get update
$ sudo apt-get upgrade
添加显卡驱动的PPA
$ sudo add-apt-repository ppa:graphics-drivers/ppa
然后显示信息
在这里回车确认
下面就可以开始安装显卡驱动了,下载速度有点慢。
$ sudo apt-get update
$ sudo apt-get install nvidia-375
驱动安装完成一定要重启系统
测试
使用nvidia-smi检查显卡状况。
- Download from the official website:
- Select Linux > x86_64 > Uuntu > 14.4 > deb(local), then download the according package (about 1.9 GB).
- Installation Instructions:
- Simply use my automation script in my github.
Answer some questions as follows
- Do you accept the previously read EULA? : accept
- Install NVIDIA Accelerated Graphics Driver for ~~ : n
- Install the CUDA 7.5 Toolkit? : y
- Enter Toolkit Location : (blank)
- Do you want to install a symbolic link at ~~ : y
- Install the CUDA 7.5 Samples? : y
- Enter CUDA Samples Location : (blank)
cuDNN 6
- One needs to register with an email to download.
- $ sudo tar -xvf cudnn-8.0-linux-x64-v6.0-rc.tgz -C /usr/local
tensorflow
- Install Anaconda
- Under a virtual envrionment, use pip install
$ pip install tensorflow or when you have GPU $ pip install tensorflow-gpu
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