Qualcomm AI Engine Direct - heap profiling at runtime on target#19716
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jethroqti wants to merge 1 commit into
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Qualcomm AI Engine Direct - heap profiling at runtime on target#19716jethroqti wants to merge 1 commit into
jethroqti wants to merge 1 commit into
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Summary:
Heap profiling at runtime with HTP backend on Android platforms. DSP
heap profiling is available for QnnContext_createFromBinary use-cases.
It captures total DSP heap usage at two checkpoints:
- Before the first context is created (before_context_created)
- After the last context is freed (after_context_freed)
The difference between the two values represents heap consumed during
context execution. The value after freeing is typically equal to or
greater than before creation.
Test plan:
python backends/qualcomm/tests/test_qnn_delegate.py
TestQNNQuantizedUtils.test_qnn_backend_runtime_option_heap_profile -b
build-android -H ${HOST} -s ${SN} -m ${SOC_MODEL}
Note:
This test is expected to run on target device.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19716
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ✅ No FailuresAs of commit eff7a0f with merge base 64684c7 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Qualcomm AI Engine Direct - heap profiling at runtime on target