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GPU support is only for nvidia? #4
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Yes, Tensorflow only officially supports CUDA in their Docker images. There is a fork of Tensorflow with ROCm support, although it only supports version 1.14, and its not integrated here. |
@mmstick Are you sure? I don't have an AMD GPU myself yet to confirm, but afaik there is 2.0 support available, and the official dockerhub images are also tagged for such: https://hub.docker.com/r/rocm/tensorflow/tags 1.14 was only released in July, and 1.15 only just came out 4 days ago... Seems like an odd reason to not want to support it, I'm sure they'll provide a 1.15 tagged image in the near future. Isn't that kind of the purpose of this project, to support different versions/configurations easily?:
It is an official community build as listed in the tensorflow project README. Just 3 days earlier, they've sent a PR updating the README section to show support for 1.15 and 2.x releases. AFAIK, they're working towards upstreaming as much as possible? If this project does not want to support AMD GPUs, then perhaps it should be more clearer in the README that it's only intended to have Nvidia for GPU support? System76 offers products with AMD GPUs don't they? Isn't the use of Docker containers meant to make the difference here much easier to support in the first place? |
I never stated that we do not want to support AMD GPU's. That would be a weird stance. Only that the work to enable that support here has not been done yet. |
Has that work been done yet? |
The blog mentions CUDA and the README shows the runtime as nvidia with tensorman aliasing it to
gpu
. Is only nvidia is supported despite the genericgpu
flag? What about AMD ROCm tensorflow support?The text was updated successfully, but these errors were encountered: