PyTorch Conference：华为分享异构加速器后端集成进展
PyTorch 官方预告，华为工程师下周在 San Jose 讲怎么把 60 万个测试用例做成跨硬件通用，还配了 CI 联动方案。
PyTorch Conference North America 2026 将于下周在 San Jose 举行，华为的 Zesheng Zong 将分享后端集成技术更新。社区正将超过 600,000 个上游测试用例改造为适用于所有后端的通用形式，以实现完整 API 对等。同时推出的 Cross-Repository CI Relay 把每个 PyTorch pull request 直接连到加速器仓库，支持双向实时测试和提前发现回归。这些更新降低了 out-of-tree 硬件维护者的接入门槛。
How do you deliver full API parity across heterogeneous accelerators with zero additional overhead?
At PyTorch Conference North America 2026, Zesheng Zong (@Huawei), PyTorch Foundation Ambassador and Accelerator Integration Working Group Co-Chair, will share key technical updates on backend integration.
The community is adapting over 600,000 upstream test cases to be generic across all backends, providing a scalable path toward complete API parity. Alongside this effort, Cross-Repository CI Relay connects every PyTorch pull request directly to accelerator repositories, enabling real-time bidirectional testing, early regression detection, and a lower barrier to entry for out-of-tree hardware maintainers.
Join us in San Jose, California next week to see how these foundational updates simplify hardware enablement across the ecosystem: https://t.co/jBApW8nESi
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