Add Intel GPU support
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评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 25/100
- Issue 类型
- 功能
- 描述清晰度
- 需要澄清
- 活跃度
- 停滞
- 技术栈
- tensorflow
调研方向
首先检查 Intel Extension for TensorFlow 软件包以及链接的 tensorflow/tfjs issue #8040；此 issue 未指定仓库文件或测试。要完成此项工作，需要就 Intel iGPU 和 Arc 的支持方案达成一致，提供构建和安装指导，实现对 NVIDIA 以外加速器的检测，并完成任何 GPU-toggle 命名更改。
由索引模型根据 Issue 内容生成。
描述
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
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- 18 小时 34 分钟
- 30 天内合并 PR
- 2
环境准备
- 没有 Dockerfile 或 Docker Compose 文件
- 没有 Pull Request 模板
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