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DeepSpeed v0.18.6 补丁发布:修复竞态条件与梯度问题
原标题:v0.18.6 Patch Release
AI 摘要
DeepSpeed 发布了 v0.18.6 补丁版本,包含多项修复和改进。主要修复了叶模块竞态条件、ZeRO stage 0 的 bf16 梯度范数发散等问题,并支持 AutoTP 自定义分区模式及 Python 3.14 注解处理。此外,将 torch.jit.script 替换为 torch.compile,并新增了两位贡献者。
以上摘要由 AI 生成,可能存在误差。事实请以原文为准。
正文节选
## What's Changed * Update version.txt to 0.18.6 after latest release by @loadams in https://github.com/deepspeedai/DeepSpeed/pull/7826 * Fix leaf module race condition by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/7825 * Skip sequence parallel operations during eval by @jp1924 in https://github.com/deepspeedai/DeepSpeed/pull/7821 * Support custom partitioning patterns for AutoTP by @tohtana in https://github.com/deepspeedai/DeepSpeed/pull/7806 * Fix gradient is ready with z2
发布时间:2026-02-13 07:21
抓取时间:2026-08-02 00:31
来源机构:Microsoft