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Re:2080 Ti TensorFlow GPU Benchmarks by auslander on Friday October 12, 2018 @03:08AM (#18199823)
Here is it: https://github.com/ROCm-Developer-Tools/HIP

Also, AMD does not limit FP performance on consumer cards.

Re:2080 Ti TensorFlow GPU Benchmarks by twtw on Saturday October 13, 2018 @12:25PM (#18208718)
> Also, AMD does not limit FP performance on consumer cards.

I don't understand this meme. The consumer cards are different chips with slow fp64 hardware. In what sense is that "limiting" performance relative to the enterprise cards?

Re:2080 Ti TensorFlow GPU Benchmarks by auslander on Saturday October 13, 2018 @09:18PM (#18210867)
On AMD, if I'm not not mistaken, FP16 is twice of FP32, as it should be

"For their consumer cards, NVIDIA has severely limited FP16 CUDA performance. GTX 1080’s FP16 instruction rate is 1/128th its FP32 instruction rate, or after you factor in vec2 packing, the resulting theoretical performance (in FLOPs) is 1/64th the FP32 rate, or about 138 GFLOPs."

https://www.anandtech.com/show/10325/the-nvidia-geforce-gtx-...

"FP16 performance is 1/64th and FP64 is 1/32th of FP32 performance."

https://blog.inten.to/hardware-for-deep-learning-part-3-gpu-...