21–30 of 38 posts
I'm running a Tensorflow Google developer group meeting in boulder every couple weeks if any of the authors/contributors is in town and wants to come and say hi to the group we'd love to have you. gdgboulder.github.io
FYI, 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. :)
Earlier quoted context omitted.
Unfortunately, that ship sailed years ago. Also, NVIDIA is heavily investing in deep learning (cudnn), so this won't happen unless someone in OpenCL builds something equally/more performant.
Somebody like Google?
I can't get the original public release running on Ubuntu 15.04. Obscure install error with no online remedy prescription.
The original public release was great to identify many potential installation issues that we couldn't possibly test ahead of time -- hopefully this next upcoming release will address some of your issues. Otherwise, please file an issue at github and we'll do our best to help!
Thanks!
Need OpenCL support. Please don't contribute to maintaining CUDA monopoly.
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.
The link to convnet benchmarks is a 30 day old issue, with numbers that look significantly worse than native CUDNNv2. Are there more up-to-date numbers? I'm really looking forward to updated CUDNN and CUDA 7.5 support. My machines are all configured for Theano, and I've been sorta waiting to try TensorFlow until I can install it without downgrading everything, as it was tricky to get things working and I'd rather not…
Need OpenCL support. Please don't contribute to maintaining CUDA monopoly.
Need OpenCL support. Please don't contribute to maintaining CUDA monopoly.
However the benchmarks for OpenCL look about 5x slower than CUDA