Qualcomm AI Engine Direct - heap profiling at runtime with HTP backend#19224
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jethroqti wants to merge 2 commits intopytorch:mainfrom
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Qualcomm AI Engine Direct - heap profiling at runtime with HTP backend#19224jethroqti wants to merge 2 commits intopytorch:mainfrom
jethroqti wants to merge 2 commits intopytorch:mainfrom
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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}
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19224
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@pytorchbot label "release notes: qualcomm" |
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This PR is used to measure heap profiling at runtime with HTP backend on Android platforms. |
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@pytorchbot label "release notes: qualcomm" |
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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:
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}