This is an AMD project motivated by the fact that NVIDIA has become the de facto standard for GPU computation in deep learning and machine learning applications.
TensorFlow, Torch, Theano, CNTK, CAFFE, and every other deep learning framework out there works out of the box with NVIDIA hardware via the CUDA stack, but not with AMD hardware, e.g., via the OpenCL stack.
Which is a shame, because the entire NVIDIA hardware + software stack is closed.
It would be great to see this new project succeed, and maybe even force NVIDIA to open source key or all components its stack down the road.
To the team at AMD running this project: if you are reading this, step one is to get built-in support into all major deep learning and machine learning frameworks.
TensorFlow, Torch, Theano, CNTK, CAFFE, and every other deep learning framework out there works out of the box with NVIDIA hardware via the CUDA stack, but not with AMD hardware, e.g., via the OpenCL stack.
Which is a shame, because the entire NVIDIA hardware + software stack is closed.
It would be great to see this new project succeed, and maybe even force NVIDIA to open source key or all components its stack down the road.
To the team at AMD running this project: if you are reading this, step one is to get built-in support into all major deep learning and machine learning frameworks.