[DTensor] Refactor strategy/rule registration into dedicated module #168221
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To avoid circular import issues: - utils.py used to include registration functions which import/depend on DTensor.sharding_propagator - I plan to use other utils from utils.py inside sharding_propagator.py [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/168221
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…ed module" To avoid circular import issues: - utils.py used to include registration functions which import/depend on DTensor.sharding_propagator - I plan to use other utils from utils.py inside sharding_propagator.py [ghstack-poisoned]
This was referenced Nov 19, 2025
wconstab
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Nov 22, 2025
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| # convenient wrapper to register sharding propagation rules |
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no code change, i promise. just moved from other file
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@pytorchbot merge -I |
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❌ 🤖 pytorchbot command failed: Try |
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@pytorchbot merge -i |
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Merge startedYour change will be merged while ignoring the following 2 checks: pull / linux-jammy-rocm-py3.10 / build, inductor / inductor-cpu-test / test (cpu_inductor_torchbench, 1, 2, linux.2xlarge.amx) Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
aditvenk
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Changed in PyTorch as part of pytorch/pytorch#168221
xmfan
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Changed in PyTorch as part of pytorch/pytorch#168221
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Stack from ghstack (oldest at bottom):
To avoid circular import issues:
DTensor.sharding_propagator