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[Backend Tester] Add additional quantized test flows for XNNPACK and Vulkan #13534

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@GregoryComer GregoryComer commented Aug 20, 2025

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).

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@GregoryComer GregoryComer requested a review from SS-JIA as a code owner August 20, 2025 00:15
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GregoryComer commented Aug 20, 2025

@GregoryComer GregoryComer requested a review from cccclai as a code owner August 20, 2025 00:15
@pytorch-bot pytorch-bot bot added the module: vulkan Issues related to the Vulkan delegate and code under backends/vulkan/ label Aug 20, 2025
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pytorch-bot bot commented Aug 20, 2025

🔗 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.

❌ 2 New Failures

As of commit 3cc5e63 with merge base 0856f59 (image):

NEW FAILURES - The following jobs have failed:

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@meta-cla meta-cla bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Aug 20, 2025
GregoryComer added a commit that referenced this pull request Aug 20, 2025
…Vulkan

ghstack-source-id: 5fe2bf8
ghstack-comment-id: 3203339209
Pull-Request: #13534
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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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2 participants