Yeah, despite owning 2080Ti and some Teslas, I'd strongly prefer AMD to be competitive in Deep Learning space.
I've heard that recently tensorflow-rocm can be installed using simple:
`pip install tensorflow-rocm`
Anyone did some Vega64/56/RX580 benchmarks with this? How fast is it in comparison to 1080Ti/2080Ti/Titan V? Can it do latest state-of-art models? Thanks!
> MIOpen[1] is a step in this direction but still causes the VEGA 64 + MIOpen to be 60% of the performance of a 1080 Ti + CuDNN based on benchmarks we've conducted internally at Lambda. Let that soak in for a second: the VEGA 64 (15TFLOPS theoretical peak) is 0.6x of a 1080 Ti (11.3TFLOPS theoretical peak). MIOpen is very far behind CuDNN.
It would be great to do Deep Learning with AMD GPUs. Might do wonders for prices too as new nVidia are really expensive nowadays.
Of course, crypto might have something to do with this. I see miners offloading GTX 1060-s and 1070-s so perhaps the second hand market might become more approachable?
I've heard that recently tensorflow-rocm can be installed using simple:
`pip install tensorflow-rocm`
Anyone did some Vega64/56/RX580 benchmarks with this? How fast is it in comparison to 1080Ti/2080Ti/Titan V? Can it do latest state-of-art models? Thanks!