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IBM 讲解如何为 Spyre Accelerator 扩展 PyTorch 支持
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IBM 工程师亲述怎么把自家 Spyre 芯片接进 PyTorch Inductor，想给新硬件做后端的人可以看看思路。
IBM 的贡献者发布博客，说明团队如何扩展 PyTorch Inductor 来支持 IBM Spyre Accelerator。文章围绕数据搬运、内存管理和工作分配三类难题展开，并针对 Spyre 的独特架构做优化。博客同时展示了 PyTorch 编译器的扩展机制，供开发者参考如何为新硬件接入框架支持。
原文 · PyTorch
What does it take to support new AI hardware within PyTorch?
In our latest blog, contributors from @IBM share how they extended PyTorch Inductor for the IBM Spyre Accelerator, leveraging PyTorch's compiler to address challenges in data movement, memory management, and work distribution while optimizing for Spyre's unique architecture.
Read on for a look at how PyTorch's extensibility helps developers bring support for new hardware to the framework:
https://t.co/m28U0pTSr7
