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935d380d36
* added tfrecord loader/dumper * add comment * remove unused import * used the latest version of tensorflow(1.12.3) which supports cuda 9.0 updated cudnn library install tensorflow by default and replace it by tensorflow-gpu in case of cuda support is enabled * Updated changelog |
7 years ago | |
|---|---|---|
| .. | ||
| README.md | 7 years ago | |
| docker-compose.cuda.yml | 7 years ago | |
| install.sh | 7 years ago | |
README.md
NVIDIA CUDA Toolkit
Requirements
- NVIDIA GPU with a compute capability [3.0 - 7.2]
- Latest GPU driver
Installation
Install the latest driver for your graphics card
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
sudo apt-cache search nvidia-* # find latest nvidia driver
sudo apt-get install nvidia-* # install the nvidia driver
sudo apt-get install mesa-common-dev
sudo apt-get install freeglut3-dev
sudo apt-get install nvidia-modprobe
Reboot your PC and verify installation by nvidia-smi command.
Install Nvidia-Docker
Please be sure that installation was successful.
docker info | grep 'Runtimes' # output should contains 'nvidia'
Build docker image
# From project root directory
docker-compose -f docker-compose.yml -f components/cuda/docker-compose.cuda.yml build
Run docker container
# From project root directory
docker-compose -f docker-compose.yml -f components/cuda/docker-compose.cuda.yml up -d