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In the AI era, how fast you iterate and how many projects you can move forward have become the skills that matter most. Three habits that speed me up: work like a manager, stay curious about new features, and match each task to the right model.
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在 AI 时代，项目的迭代速度和数量正在成为最重要的能力。分享三条我自己的提速方法：多线程当管理者、保持对新功能的好奇、按任务选模型。
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A benchmark-driven analysis of PyTorch Inductor’s speedup_by_fusion config, its runtime logs, and why register spilling can reject fusions that still help.
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详解 PyTorch Inductor 的 speedup_by_fusion 配置：开启方式、工作原理、benchmark 日志示例，以及 register spilling 带来的融合决策争议。
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A structured walkthrough of how PyTorch Inductor enumerates, scores, and greedily applies graph fusion candidates in fuse_nodes.
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系统梳理 PyTorch Inductor 如何在 fuse_nodes 中枚举候选对、执行打分排序，并以贪心策略推进图融合。