[Backend Tester] Add additional quantized test flows for XNNPACK and Vulkan #13534
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module: vulkan
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13534
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 106 PendingAs of commit 9e604b4 with merge base 07b0883 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This was referenced Aug 20, 2025
digantdesai
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Aug 20, 2025
| flow: [ | ||
| qnn, qnn_16a16w, qnn_16a8w, qnn_16a4w, qnn_16a4w_block, qnn_8a8w, | ||
| vulkan, vulkan_static_int8_per_channel, | ||
| xnnpack, xnnpack_dynamic_int8_per_channel, xnnpack_static_int8_per_channel, xnnpack_static_int8_per_tensor |
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no groupwise 4b? I am ok for now, just checking if you run into something or just low prio for now.
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Yeah, I intend to add that. I was planning to confirm with @metascroy which AO API is recommended and update the XNNPACK delegate docs, as well.
digantdesai
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Aug 20, 2025
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Wire up the PT2E Vulkan quantizer and add additional test flows for XNNPACK PT2E (8-bit static per-tensor and 8-bit dynamic per-channel).
cc @SS-JIA @manuelcandales @cbilgin