I need to build an environment for deep learning. It would need dependencies like CUDA and cuDNN, and a high version compiler that is not default installed on the system like GCC.
The problem is that there is no existing image that exactly matches my need. I have to build it myself, and when I try to install GCC 7.5.0 via compiling source code on the nvidia/cuda image, It changed some settings and makes
nvcc command unrecognized. This is just one step among all things I have to do to build an image, and it had already caused some ugly problems.
So what is the right way to do that ? Is there anyone who can provide some advice? Anything helpful would be appreciated!
- Docker engine and nvidia-docker has already installed
- Nvidia driver installed correctly for RTX 2080 Ti GPU
- the host operating system is centos 7
- centos 7 with CUDA and cuDNN
- python3.6 or higher
- GCC 7.5.0 or higher
- Anaconda （optional）
If I pull a base image and install all the dependencies one by one and commit this container in the end, I may pull this off, but this will end up with a huge image and some environment errors I am not willing to take.
So, Please tell me what I should do if you know something about it. and English is not my mother language so I make some mistakes that makes you confused, feel free to ask for details.