Fabian Tschopp

@TechnikEmpire I personally haven't tested ResNet on a GTX 680 yet. If you provide me the whole code you use to benchmark I can do some benchmark on other GPUs...

@TechnikEmpire It also has to be noted that performance can vary greatly depending on what BLAS you use for your GPU. ViennaCL is default, but you should also try CLBlast,...

I also found this issue. It's quite an urgent one, since it stops us from using any library that has both CUDA and OpenCL/HIP support built-in.

@nikAleksandr Not sure what you have configured, but yes if configured correctly you can use cuDNN+CUDA on your 1070 with normal Caffe, or you can use OpenCL on either the...

@rajgott Can you show me your Makefile.config and your network prototxt? In some instances, it could be that you run out of memory for the GPU, or that the convolution...

Can you try with LIBDNN enabled but INTEL_SPATIAL disabled and also with both disabled? Just to be sure. From your information I can't think of another problem than a convolution...

@rajgott Hmm, seems like INTEL_SPATIAL fails on your GPU (because it's not having the expected Skylake OpenCL features it seems). I can't really find out what's wrong, seems you ran...

@mattg-sp OK. I got an Intel test platform now and will investigate this further. As a benchmark, can you please run this: `./build/tools/caffe time -model models/bvlc_alexnet/benchmark64.prototxt -gpu=0 -iterations=5`

@mattg-sp Uh, that's not supposed to happen, especially not if you run it on the iGPU. Are you both using Macbooks by any chance? Can I have these details please:...

@mattg-sp Hmm, haven't tried with that package yet. Usually it's easiest to use https://www.freedesktop.org/wiki/Software/Beignet/ provided by the operating system (Ubuntu and Fedora have the "beignet" package in the repositories) on...