4 ms·
The question is not AMD's processing power, the question is the tools available for AMD cards, which are scant to say the best. While AMD doesn't create someth
by jbmorgado 9y ago
The question is not AMD's processing power, the question is the tools available for AMD cards, which are scant to say the best.
While AMD doesn't create something like cuDNN to go along with their cards, no real work will start being done in porting most important DL libraries to AMD cards. And even in that case, it will be a lost generation for AMD, only in the 2nd generation where AMD actually offers a real alternative in DL to NVIDIA, you will start to see some real progress being done with it.
- redtuesday 9y agoThey stated at the analyst day that they will support TensorFlow, Theano, Caffee etc. And will release something called MiOpen. They also stated this last year: > On top of ROCm, deep-learning developers will soon have the opportunity to use a new open-source library of deep learning functions called MIOpen that AMD intends to release in the first quarter of next year. This library offers a range of functions pre-optimized for execution on Radeon Instinct cards, like convolution, pooling, activation, normalization, and tensor operations http://techreport.com/review/31093/amd-opens-up-machine-learning-with-radeon-instinct http://techreport.com/review/31093/amd-opens-up-machine-lear...
- PeterisP 9y agoThat would be nice, more competition is better for the consumer. Still, it will affect purchasing decision only when it happens, and it hasn't happened yet.
- throwaway32131 9y agoThey don't have an implementation of in-place convolutions AFAIK. The im2col trick may be too slow in practice (read x2.5-10 slower) to make any difference in terms of adoption. We already see this with Caffe and cl-Torch.