[currymj]

this is certainly just a neat gimmick, but it's interesting to me for a particular reason: the Stadia box uses an AMD GPU, and per the Google announcement, all the style transfer is done in real time.

this suggests that we may soon have better AMD support in TensorFlow.

[Sephr]

Style transfer is most likely not running on the GPU in this case. It's probably running on Google TPUs, given that the GPUs are likely already under high load in order to play AAA games at 4K HDR 60fps.

[currymj]

where can I find out more about this? all I'm going by is them saying in their keynote that its running "on the Stadia instance".

[make3]

Tensorflow support on AMD is supposedly not awful anymore. https://medium.com/tensorflow/amd-rocm-gpu-support-for-tenso...

I wish someone who had >actual< practical experience in the domain would comment.

It's an important question.

[currymj]

I haven't personally tried to do anything on an AMD GPU, but AMD actually has a very active GitHub repository https://github.com/ROCmSoftwarePlatform/tensorflow-upstream .

If you go through the issues you can get a sense of what it's like from people who do have practical experience.

[make3]

this is like bad selection bias though. people never write issues to say things are going well. the general Tensorflow issues are also about only bad things, by definition

[avinium]

I've been following ROCm development closely, and everything I read is pointing towards it being a first class competitor to CUDA.

That being said, I don't have any personal experience because, well, I don't have AMD GPUs to play around with.