[simplefsdp auto-bucketing] manual bucketing with plan #158321
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/158321
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This was referenced Jul 15, 2025
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This manual plan takes a list of module definition as input, and bucket all-gather/reduce-scatter based on the definition. An example would be: - The plan is set to be`torch._inductor.config.simplefsdp.bucketing_plan= ["tok_embeddings", "layers.[0-31]", "norm+output"]`. - The inductor backend will group nodes from the same module as a bucket. Here, the bucket groups are `tok_embeddings`, `layers.0`, `layers.1`, etc. [ghstack-poisoned]
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…cket helper function" This pr is based on Diff D67292294 from yf225. Major changes are: - Change the function structure to be compatible with auto-bucketing - Group bucketed nodes & dependencies with GroupedSchedulerNodes for easier reordering. Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * #160282 * #158609 * #158321 * #158098 * __->__ #158097 * #157572 cc H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy chenyang78 kadeng muchulee8 amjames chauhang aakhundov [ghstack-poisoned]
ruisizhang123
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that referenced
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Aug 11, 2025
…tion" This pr is based on Diff D67292294 from yf225. Major changes are: - Change the function structure to be compatible with auto-bucketing - Group bucketed nodes & dependencies with GroupedSchedulerNodes for easier reordering. Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * #160282 * #158609 * #158321 * #158098 * __->__ #158097 * #157572 cc H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy chenyang78 kadeng muchulee8 amjames chauhang aakhundov [ghstack-poisoned]
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This manual plan takes a list of module definition as input, and bucket all-gather/reduce-scatter based on the definition.
An example would be:
torch._inductor.config.simplefsdp.bucketing_plan= ["tok_embeddings", "layers.[0-31]", "norm+output"].tok_embeddings,layers.0,layers.1, etc.Stack from ghstack (oldest at bottom):