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I disagree; most people use caffe / keras / theano / tensorflow / etc hiding the cuDNN details so end users won't care much. Offering more performance / shorte

by x0x0 10y ago

I disagree; most people use caffe / keras / theano / tensorflow / etc hiding the cuDNN details so end users won't care much. Offering more performance / shorter training loops is a big deal. Your typical ML learning loop with an expensive human regularly waiting for experiment results shows clear benefits.

ogrisel 10y ago
The point is that there is no optimized cuDNN equivalent for AMD hardware at this point.
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- eightysixfour 10y ago
  AMD has built this middleware for all of those applications (keras, tensorflow, caffe, etc) and they show the performance results in their slides.
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