[Backend Tester] Add test flows for QNN quantization #13469
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GregoryComer
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larryliu0820,
kirklandsign and
cccclai
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13469
Note: Links to docs will display an error until the docs builds have been completed. ❌ 4 New Failures, 4 Unrelated FailuresAs of commit b8daf4e with merge base 85e5b6e ( NEW FAILURES - The following jobs have failed:
BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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This was referenced Aug 18, 2025
digantdesai
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Aug 19, 2025
| @@ -42,7 +42,7 @@ jobs: | |||
| strategy: | |||
| fail-fast: false | |||
| matrix: | |||
| flow: [qualcomm, vulkan, xnnpack, xnnpack_static_int8_per_channel] | |||
| flow: [qualcomm, qualcomm_16a16w, qualcomm_16a8w, qualcomm_16a4w, qualcomm_16a4w_block, qualcomm_8a8w, vulkan, xnnpack, xnnpack_static_int8_per_channel] | |||
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why not also add more for xnnpack? Just curious
digantdesai
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Aug 19, 2025
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Add test flows for each of the supported QNN quantization modes. I followed the guidance in the docs and example code for the overall lowering flow. Add jobs to nightly CI.