3 ms·
As far as I can tell, this may not be faster than theano/torch, but it doesn't sound like it'll be slower. It takes a similar approach of sending all the big co
by maccam912 11y ago
As far as I can tell, this may not be faster than theano/torch, but it doesn't sound like it'll be slower. It takes a similar approach of sending all the big computation stuff out to efficient implementations. The "slow" language code is simply building up a graph of work to be done by the efficient implementations.
- chimtim 11y agoDo 10% speedups really matter for its success, if both libraries are ultimately calling into CUDNN? I do not think so. Right now, Torch/Caffe adoption is really good with lots of research code being released for it (even from within Google DeepMind). So it will be interesting to see how this catches up amongst the research and developer community.