Anyone got a Dockerfile for this yet? I've no idea what they mean by ./configure
Tensorflow 0.6.0 Release
31–38 of 38 posts
Re: Tensorflow 0.6.0 Release
#32Need OpenCL support. Please don't contribute to maintaining CUDA monopoly.
If you compare the effort that AMD spends on OpenCL compared to what NVidia spends on CUDA then you'll see why everyone just used NVidia. I'm not a big fan of vendor "standards", but I have very limited sympathy for OpenCL here. I think the best hope for portability is at the higher level programming API layer. For example TensorFlow is careful to make switching between CPU and GPU painless.
It would not have to be like that if Nvidia opened up the source-code for cuFFT/cuDNN/cuBLAS. My guess is they are not doing that because it is fairly trivial to port code from CUDA to OpenCL. It can even be automated.
Re: Tensorflow 0.6.0 Release
#33FYI, we're building the pip packages today -- we'll send out an announcement to the TensorFlow discussion list and update the website when things are actually done. :)
So that's why I can't install it :)
Okay, after a bunch of last minute python 3 issues, we've updated the documentation and packages, so everything should be ready.
Re: Tensorflow 0.6.0 Release
#34Cool. I'm still looking forward to when I can run TensorFlow on a Windows machine and harness my GPU. Right now I can only run TensorFlow in a Docker container in a VirtualBox Linux virtual machine running in Windows... so I guess there's that!
How does your Linux VM even get to see your real GPU? I didn't know it was possible with VirtualBox.
Re: Tensorflow 0.6.0 Release
#35Can they make it run on computers that don't have NVIDIA GPUs, like a Mac Book Pro with Intel Iris?
You can already do that. It's just several orders of magnitude slower if you don't run it on a dedicated GPU.
Re: Tensorflow 0.6.0 Release
#36Cool. I'm still looking forward to when I can run TensorFlow on a Windows machine and harness my GPU. Right now I can only run TensorFlow in a Docker container in a VirtualBox Linux virtual machine running in Windows... so I guess there's that!
How does your Linux VM even get to see your real GPU? I didn't know it was possible with VirtualBox.
It doesn't, which is why I'm hoping for native Windows support soon.
Re: Tensorflow 0.6.0 Release
#37Does this version support the latest CUDA/CUDNN? I spent hours with the initial release trying to get GPU acceleration working before giving up in frustration (and being a seasoned Arch linux user, I'm not easily discouraged) - I can't remember what ultimately caused me to throw my hands up in defeat but it had to do with the old CUDA version requirement.
I've read some people have been able to do hacks to get it to work, but I agree we need to make it easier. The full configurability for other cudnn versions didn't make 0.6.0 but might be in a patch update sometime soon. It's part of our work on improving GPU performance in general.
Cool, thanks!