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Update CadenceMemoryPlanning to support per-memory alignment constraint #8689

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Summary: Currently CadenceMemoryPlanning only supports a single mem_alignment parameter that it applies to all memories in the hierarchy. This diff moves the alignment constraint to the MemoryConfig definition and makes it per-memory.

Reviewed By: dulinriley

Differential Revision: D69881079

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pytorch-bot bot commented Feb 25, 2025

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8689

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 25, 2025
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This pull request was exported from Phabricator. Differential Revision: D69881079

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@pytorchbot label "topic: not user facing"

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could you run

pip install lintrunner==0.12.7
pip install lintrunner-adapters==0.12.4
lintrunner init
lintrunner -a

I can help doing it if pip is not working

sabarishsnk added a commit to sabarishsnk/executorch that referenced this pull request Feb 25, 2025
…nt (pytorch#8689)

Summary:

Currently `CadenceMemoryPlanning` only supports a single `mem_alignment` parameter that it applies to all memories in the hierarchy. This diff moves the alignment constraint to the `MemoryConfig` definition and makes it per-memory.

Reviewed By: dulinriley, zonglinpeng

Differential Revision: D69881079
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This pull request was exported from Phabricator. Differential Revision: D69881079

…nt (pytorch#8689)

Summary:

Currently `CadenceMemoryPlanning` only supports a single `mem_alignment` parameter that it applies to all memories in the hierarchy. This diff moves the alignment constraint to the `MemoryConfig` definition and makes it per-memory.

Reviewed By: dulinriley, zonglinpeng

Differential Revision: D69881079
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4 participants