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I just tested this and the scripts are also fully working with OpenCL, and surprisingly not much slower; i.e. 22 minutes with VGG19 on a W9100/R9 290X/R9 390X/RX 480 and 12 minutes on a GTX1080.
Source: https://github.com/BVLC/caffe/tree/opencl
Disclaimer: I'm the author of OpenCL Caffe, shameless advertisement to gain more momentum ;)
The text was updated successfully, but these errors were encountered:
Will this work on Windows with caffe and CUDAnn or with OpenCL? I have a 1070 and looking to use it, but not sure why the gpu flag is failing when anything other than 0.
@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 1070, or your CPU or onboard GPU, if you have.
And it should all work with Windows, if you have Anaconda Python 2.7 and VC++2015 installed.
But if something specific does not work for you, I'd need more details to see why.
I just tested this and the scripts are also fully working with OpenCL, and surprisingly not much slower; i.e. 22 minutes with VGG19 on a W9100/R9 290X/R9 390X/RX 480 and 12 minutes on a GTX1080.
Source: https://github.com/BVLC/caffe/tree/opencl
Disclaimer: I'm the author of OpenCL Caffe, shameless advertisement to gain more momentum ;)
The text was updated successfully, but these errors were encountered: