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Update CadenceMemoryPlanning to support per-memory alignment constraint #8689
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8689
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 5086067 with merge base f9dc6ef ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This pull request was exported from Phabricator. Differential Revision: D69881079 |
@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
…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
ad81cba
to
5086067
Compare
Summary: Currently
CadenceMemoryPlanning
only supports a singlemem_alignment
parameter that it applies to all memories in the hierarchy. This diff moves the alignment constraint to theMemoryConfig
definition and makes it per-memory.Reviewed By: dulinriley
Differential Revision: D69881079