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[Backend Tester] Add test flows for QNN #13469
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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. ❌ 7 New Failures, 1 Cancelled Job, 2 Unrelated FailuresAs of commit e345809 with merge base 0856f59 ( NEW FAILURES - The following jobs have failed:
CANCELLED JOB - The following job was cancelled. Please retry:
BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
.github/workflows/nightly.yml
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@@ -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
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Can we rename to qnn_* to align with the naming convention
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Sure, I'll update it.
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why not also add more for xnnpack? Just curious
Added a few more PT2E flows in the stack. I'll add int4 as well.
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Can we rename to qnn_* to align with the naming convention
Done.
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.