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Arm backend: Track target memory usage #5341
Arm backend: Track target memory usage #5341
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/5341
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New FailuresAs of commit 0f5f9d6 with merge base 3e79ea4 (): NEW FAILURES - The following jobs have failed:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
@pytorchbot label ciflow/trunk |
@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
rebase please? |
This adds memory stats API to the Memory Allocator and make it possible for the backends to track and report runtime memory usage. Signed-off-by: Zingo Andersen <zingo.andersen@arm.com> Change-Id: I73d3531f2430edaa91608a1b06dee4aedf79c5a3
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Document the memory areas and make non semihosting memory areas more configurable to make it more easy to build and test for different setup/hardwares. Signed-off-by: Zingo Andersen <zingo.andersen@arm.com> Change-Id: I6a13c2e47f20e02ca79c7f8e20bfe2a3b0e41c94
…untime" This reverts commit 1bc1ee8.
…d-documentation-in-the-runtime
…d-documentation-in-the-runtime
@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
@digantdesai merged this pull request in e425dbb. |
This pull request has been reverted by d2ba238. |
Hi @zingo I just reverted this PR. Can we not add additional virtual functions into the core memory allocator? It seems unnecessary... And currently failed our binary size CI job. |
@mergennachin |
Replaced by #5788 |
This adds memory stats API to the Memory Allocator and make it possible for the backends to track and report runtime memory usage.