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Build a Unified Heterogeneous AI Computing Ecosystem for PyTorch

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Describes efforts to standardize heterogeneous AI hardware support for PyTorch by the TAC Accelerator Integration Working Group (co-chaired by Huawei and Intel). Covers their hardware onboarding guidelines, cross-repository CI testing, device-aware test suites, and platform incubation workflows, and outlines a roadmap toward device-agnostic APIs and a broader multi-backend test matrix to enable vendors and developers to integrate hardware more easily.

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