11–20 of 67 posts
Interesting that Fedora support seems to have been dropped. Anyone know why that might be? Edit: oh wait I think I see. Latest supported gcc for CUDA 11 is gcc 9.x, but I think latest Fedora is on gcc 10.
I noticed CUDA 11.0 was almost ready for release last week when I went to install CUDA and the default download page linked to the 11.0 Release Candidate. The 10.1 and 10.2 links were buried behind a link off to the side labeled "legacy". The thing is, no library you use is going to be supporting the CUDA 11.0 RC, that's ridiculous. For example, Pytorch stable is on 10.2 and Tensorflow only goes up to 10.1. This is g…
https://forums.developer.nvidia.com/t/the-cuda-toolkit-v10-0...
> The Conda dependency manager has made this a lot easier
Yeah but conda is "Let's do dependency management with a SAT solver, it'll be great!" On a good day, it's just slow. On a bad day, the SAT solver spins for hours before failing to converge. On a really bad day, the SAT solver does something "clever."
I've had a couple of really bad days this year. I'm really starting to not like conda very much.
I noticed CUDA 11.0 was almost ready for release last week when I went to install CUDA and the default download page linked to the 11.0 Release Candidate. The 10.1 and 10.2 links were buried behind a link off to the side labeled "legacy". The thing is, no library you use is going to be supporting the CUDA 11.0 RC, that's ridiculous. For example, Pytorch stable is on 10.2 and Tensorflow only goes up to 10.1. This is g…
I noticed CUDA 11.0 was almost ready for release last week when I went to install CUDA and the default download page linked to the 11.0 Release Candidate. The 10.1 and 10.2 links were buried behind a link off to the side labeled "legacy". The thing is, no library you use is going to be supporting the CUDA 11.0 RC, that's ridiculous. For example, Pytorch stable is on 10.2 and Tensorflow only goes up to 10.1. This is g…
Yeah, and the CUDA 10.0 official Visual Studio demo project build was broken for... looks like a year, at least, because they didn't want to populate the toolkit path. NVidia, you're better than this. https://forums.developer.nvidia.com/t/the-cuda-toolkit-v10-0... > The Conda dependency manager has made this a lot easier Yeah but conda is "Let's do dependency management with a SAT solver, it'll be great!" On a good d…
Earlier quoted context omitted.
Yeah, and the CUDA 10.0 official Visual Studio demo project build was broken for... looks like a year, at least, because they didn't want to populate the toolkit path. NVidia, you're better than this. https://forums.developer.nvidia.com/t/the-cuda-toolkit-v10-0... > The Conda dependency manager has made this a lot easier Yeah but conda is "Let's do dependency management with a SAT solver, it'll be great!" On a good d…
You might find https://github.com/TheSnakePit/mamba useful, especially if you are slowed down by package resolution.
>cuFFT now accepts __nv_bfloat16 input and output data type for power-of-two sizes with single precision computations within the kernels. This exact sentence is listed both under "New Feature" and "Known Issues". I'm not super familiar with CUDA stuff, but, it can't be both right?
Looks like a mistake, should only be in New Features.
I noticed CUDA 11.0 was almost ready for release last week when I went to install CUDA and the default download page linked to the 11.0 Release Candidate. The 10.1 and 10.2 links were buried behind a link off to the side labeled "legacy". The thing is, no library you use is going to be supporting the CUDA 11.0 RC, that's ridiculous. For example, Pytorch stable is on 10.2 and Tensorflow only goes up to 10.1. This is g…
Yeah, and the CUDA 10.0 official Visual Studio demo project build was broken for... looks like a year, at least, because they didn't want to populate the toolkit path. NVidia, you're better than this. https://forums.developer.nvidia.com/t/the-cuda-toolkit-v10-0... > The Conda dependency manager has made this a lot easier Yeah but conda is "Let's do dependency management with a SAT solver, it'll be great!" On a good d…
> Added support for Ubuntu 20.04 LTS on x86_64 platforms. Huh? I've been using CUDA for a while now on my Ubuntu 20.04 machine
Just today I've already spent 30 minutes trying to start x with this latest cuda update. Too bad I can't switch back to the open source nouveau driver.