PyTorch 硬件支持更新:加速器集成工作组 2026 H1 进展
PyTorch 加速器集成工作组公布 2026 H1 进展,推出跨仓库 CI Relay(CRCR),通过 webhook 并行向注册的下游仓库派发事件,结果数秒内汇入 hud.pytorch.org/crcr。该机制采用 L1–L4 分级白名单和五层校验,下游仓库只需加入白名单和一份轻量工作流文件即可接入。工作组同时推进测试套件去硬件化重构,涉及 259 个跟踪项,并完善 PrivateUse1 后端 profiling 与 OpenReg 参考后端。

utors migrated over 276 test files spanning dynamo, profiler, nn modules, linalg, optimizers, convolutions, serialization, multiprocessing, and dataloader. Hardware classification metadata: Building on the test class classification proposed by Alban, the group implemented a hw classification class attribute (GENERIC, DEVICE GENERIC, CUDA, XPU, MPS) and a –hw-classification flag across all execution paths — unittest, pytest, subprocess, parallel, XML output, and run test.py forwarding — enabling
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