Support for MacOS Metal Performance Shaders (MSP) based on py-metal-compute
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调研方向
首先阅读 src/backend/headless-gl/kernel.js，并将其 Kernel 结构与 WebGLKernel 和 HeadlessGLKernel 进行比较。然后研究 metalcompute 包的行为，并确定其 Metal 逻辑如何适配到 gpu.js 中。完成的标准是定义并实现一个可工作的 Metal 后端或内核集成，使其能够使用相关 GPU，但该 issue 未指定测试或验收标准。
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描述
Dear GPU Community,
recently I've started to play around with brain.js and processing calculations on GPU with the goal to squeeze some performance out of my home server with Blackmagic Pro eGPU. Generally speaking, I was able to run a few tests successfully, but surprisingly all calculations have been processed on my internal graphics card, not on eGPU.
However, if running tests with py-metal-compute (metalcompute pip package), calculation is being processed on all 3 GPUs.
With that, I would like to try to contribute looking for a way to migrate the logic from metalcompute to gpu.js. From my first observations I would need to develop a Kernel that can be injected similar to WebGLKernel or HeadlessGLKernel. As a first step I'm trying to get familiar with the code in src/backend/headless-gl/kernel.js, but if there is some information that would give me a head start, I would highly appreciate!
Any guidance that would speedup the development, I would highly appreciate it!
Best,
Vitali
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