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Developers should be mad about this. Here's where to start contributing to open alternatives: ROCm: https://rocm.github.io/ https://rocm.github.io/ OpenCL: ht

Developers should be mad about this. Here's where to start contributing to open alternatives: ROCm: https://rocm.github.io/ https://rocm.github.io/ OpenCL: https://www.khronos.org/opencl/ https://www.khronos.org/opencl/ TensorFlow: https://github.com/tensorflow/tensorflow https://github.com/tensorflow/tensorflow Nouveau: https://nouveau.freedesktop.org/wiki/ https://nouveau.freedesktop.org/wiki/

reilly3000 9y ago
TensorFlow depends exclusively (st time of writing) on CUDA for GPU acceleration. Leaning on them to support OpenCL fully would unlock the world of AMD GPUs that are move affordable and don’t have the same crazy EULA. I regret having bought GeForce cards for machine learning now...
- matt4077 9y ago
  Instead of “leaning on them”, you can submit patches. The OpenCL effort is well underway, and pull requests are accepted every day.
  - fauigerzigerk 9y ago
    >Instead of “leaning on them”, you can submit patches Do yo know that he has the right skill set or the time to maintain the code for years to come? Do you know that the effort would be economically viable for him like it could be for AMD or perhaps Google? If not then I would prefer if he didn't submit a patch, because he would be wasting everyone's time. Sometimes the best contribution you can make to an open source project is to express your interest in particular features so that those who really can submit a patch know that there is demand for it.
- larrykwg 9y ago
  TensorFlow also supports Intel Xeon Phi as an alternative https://software.intel.com/en-us/articles/tensorflow-optimizations-on-modern-intel-architecture https://software.intel.com/en-us/articles/tensorflow-optimiz...
  - make3 9y ago
    afaik Xeon phi doesn't come close to the performance per buck of gpus in deep learning
- arcanus 9y ago
  Actually, AMD has a version of tensorflow that works on their devices: https://github.com/ROCmSoftwarePlatform/hiptensorflow https://github.com/ROCmSoftwarePlatform/hiptensorflow

reilly3000 9y ago

TensorFlow depends exclusively (st time of writing) on CUDA for GPU acceleration. Leaning on them to support OpenCL fully would unlock the world of AMD GPUs that are move affordable and don’t have the same crazy EULA. I regret having bought GeForce cards for machine learning now...

matt4077 9y ago
Instead of “leaning on them”, you can submit patches. The OpenCL effort is well underway, and pull requests are accepted every day.
- fauigerzigerk 9y ago
  >Instead of “leaning on them”, you can submit patches Do yo know that he has the right skill set or the time to maintain the code for years to come? Do you know that the effort would be economically viable for him like it could be for AMD or perhaps Google? If not then I would prefer if he didn't submit a patch, because he would be wasting everyone's time. Sometimes the best contribution you can make to an open source project is to express your interest in particular features so that those who really can submit a patch know that there is demand for it.
larrykwg 9y ago
TensorFlow also supports Intel Xeon Phi as an alternative https://software.intel.com/en-us/articles/tensorflow-optimizations-on-modern-intel-architecture https://software.intel.com/en-us/articles/tensorflow-optimiz...
- make3 9y ago
  afaik Xeon phi doesn't come close to the performance per buck of gpus in deep learning
arcanus 9y ago
Actually, AMD has a version of tensorflow that works on their devices: https://github.com/ROCmSoftwarePlatform/hiptensorflow https://github.com/ROCmSoftwarePlatform/hiptensorflow