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Add Intel GPU support

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#1,014 17 comentarios 9 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
25/100
Tipo de issue
Nueva funcionalidad
Claridad
Necesita aclaración
Estado de actividad
Estancado
Stack tecnológico
tensorflow
Área
machine-learning

Línea de trabajo

Comienza revisando el paquete Intel Extension for TensorFlow y el issue #8040 enlazado de tensorflow/tfjs; este issue no menciona archivos ni pruebas del repositorio. Para darlo por terminado, sería necesario acordar un enfoque para la compatibilidad con Intel iGPU y Arc, proporcionar orientación sobre la compilación y la instalación, detectar aceleradores más allá de NVIDIA y realizar cualquier cambio en el nombre del GPU-toggle.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

enhancement
Describe the feature you'd like to request

As many probably have a server with something like an old Intel processor with an iGPU (at least I have) it'd be cool to have support for those iGPUs (and also support for the ARC A series for free) to take some burden off the CPU.

Describe the solution you'd like

To work with Intel on tensor flow, you need to use the https://github.com/intel/intel-extension-for-tensorflow package and normally it should just pick up the Intel GPU as an accelerator device if everything is installed correctly. iGPUs aren't quite the first class citizen, but they should work reasonably well (see here) and support seems to go back to Skylake.

It'll probably be needs to be custom built anyway to support certain GPU families, so there's probably not much you need to do from your side, other than some guidance on how to build and where to install the result, to verify that it picks up accelerators other than NVIDIA and maybe to renaming of the NVIDIA GPU support toggle so something like GPU support.

AMD also would be nice to have for a full support, but they don't support their GPUs as an extension to tensorflow, but only as a replacement package, so that's probably a lot harder to realize.

Describe alternatives you've considered

Running it on the CPU. It's passable, but of course it isn't particularly fast, especially if you throw in a bunch of lange images at once and chews on quite some resources that the rest of the system could use.

Depends on: https://github.com/tensorflow/tfjs/issues/8040

Lenguaje dominante
PHP
Estrellas
698
Forks
68
Merge medio
18 h 34 min
PR fusionados (30 d)
2

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