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Arm backend: Fix bug in memory allocation #14210
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Arm backend: Fix bug in memory allocation #14210
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If running multiple inferences on the same Ethos-U custom delegate, we need to reset the temp_allocator after every inference. Otherwise, we keep allocating more memory within the temp_allocator rather than reuse the temp_allocator between inferences. Change-Id: Id3233bb8b635b83868751c7c619c6d418ada58ec
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14210
Note: Links to docs will display an error until the docs builds have been completed. ❌ 11 New Failures, 7 Cancelled Jobs, 3 Unrelated FailuresAs of commit 8abb465 with merge base 4d6209b ( NEW FAILURES - The following jobs have failed:
CANCELLED JOBS - The following jobs were cancelled. Please retry:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following jobs failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Differential Revision: D82220111 Pull Request resolved: pytorch#14210
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If running multiple inferences on the same Ethos-U custom delegate, we need to reset the temp_allocator after every inference. Otherwise, we keep allocating more memory within the temp_allocator rather than reuse the temp_allocator between inferences.
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218