Unable to install pytorch >=1.6 with CUDA 10.0

1

I’m trying to install Pytorch version >= 1.6 with CUDA 10.0 using anaconda environment. However, I’m getting conflicts and not able to install it.

To minimize conflict, now I’m creating a new environment with only numpy, python, pytorch and cudatoolkit. Even says that conflict and process hang at examining conflicts.

Last time I had a workaround to this problem (see here) using pytorch 1.3. However, this time I strictly need pytorch >= 1.6.

My remote system doesn’t support any other CUDA version and I can’t modify whats already in remote system.

Thanks you.

2

Note that your system doesn’t need a local CUDA installation, if you just want to use PyTorch, since the conda binaries and pip wheels whip with their own CUDA runtimes. You would need a local CUDA installation, if you want to build PyTorch from source or build any custom CUDA extension.
Your workstation would thus only need a sufficiently new NVIDIA driver for the used CUDA runtime.

The binaries ship now with CUDA9.2, 10.1, 10.2, and 11.0, so I’m unsure where you can find the 10.0 version.

3

So is it possible I only install pytorch without CUDA runtime and let the pytorch use cuda library present in my system? My system has CUDA 10.0 already installed.

Does it mean I should not use conda virtual environment? and do local installation of required packages?

4

Yes, that’s possible if you build from source as described here.

No, you can still use virtual environments (and I would also recommend to do so).