3 ms·
I think that's exaggerating it a bit. I managed to install Tensorflow with CUDA on Windows just by following theirs official installation guides. I also manag
by 21 10y ago
I think that's exaggerating it a bit.
I managed to install Tensorflow with CUDA on Windows just by following theirs official installation guides.
I also managed to compile Tensorflow with GPU support from source, also by just following the official guide.
Sure, it's a bit more work than "sudo apt install".
- atemerev 10y agoIt was 5 months ago; perhaps things happened to change since then. :)
- aseipp 10y agoI installed Tensorflow 1.0.1 for Windows for the first time like, 3 weeks ago. I've never installed it before on any system and I never even had Python3 on this machine. I had to use Windows because it has my new GTX 1080. Short story: worked great, running in about 5 minutes. (With VSCode, I even get autocomplete out-of-the-box on the TF libraries, imports, etc.) I think it was much different before 1.0. Also, building on Windows is a little more difficult. But just installing it really isn't. And Keras was far more annoying because it wants scipy, which wants BLAS, and I don't use Anaconda. I haven't gotten around to that one yet...
- sorenjan 10y ago> And Keras was far more annoying because it wants scipy, which wants BLAS, and I don't use Anaconda. I haven't gotten around to that one yet... Christoph Gohlke to the rescue: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy I also don't think that the numpy installed via pip is using mkl, so his version of numpy should be faster too: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy