[digantdesai]

Stack from ghstack (oldest at bottom):

• [executorch][native] Record dynamic-shape linears as chained bundled samples #24405
• [executorch][native] Run the ggml CPU act_quant sample test in CI #24373
• [executorch][vulkan] Round f16 image stores to nearest even #24372
• [executorch][native-vk] Note the int4 weight-only N % 4 and rank-4 linear gaps #24371
• [executorch][vulkan] Fix dq8ca q4gsw weight sums stride when N % 8 is 1 to 4 #24370
• [executorch][vulkan] Accept 1-D activations in 8da4w linear #24369
• [executorch][native] Cover negative, rounded and subnormal GGUF super-block scales in the op samples #24368
• [executorch][native] Decode quantized weights in float32 for precise samples #24367
• [executorch][native] Add GGUF q4_k and q6_k packages to the op samples #24366
• [executorch][native] Add FACTO-drawn linear cases to the op samples #24365
• [executorch][native] Suggest rounding to nearest when engines narrow values #24364
• [executorch][native-ggml] Compute cuBLAS GEMMs in f32 in the CUDA sample tests #24363
• [executorch][native] Judge activation-quantized engines against an int8-activation golden #24362
• [executorch][native-ggml] Reject weight-only quantized linears unless activation quant is allowed #24361
• [executorch][native] Run engines on bundled op samples with gtest #24360
• -> [executorch][native] Judge engine outputs against golden and precise samples #24359
• [executorch][native] Pin eager kernels when generating op samples #24358
• [executorch][native] Record op packages with bundled golden and precise samples #24357
• [executorch][native] Split engine host factories out of the PTN runners #24356
• [executorch][test-suite] Feed the Linear tests inputs with the model's 67 input features #24355

A fixed tolerance either hides engine bugs or fails legitimate numerics, so an engine is judged by its distance from precise relative to eager's. OutputCheck bounds RMSE and max error by multiples of eager's plus rtol, and the fitted absolute and relative bias likewise, plus sigmas standard errors. Non-finite values must equal golden. CMake builds it and its test too.

Authored with Claude Code.

@bypass-github-export-checks
@bypass-github-pytorch-ci-checks
@bypass-github-executorch-ci-checks
@exported-using-ghexport

Differential Revision: D128254878

Differential Revision: D128254878

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/24359

• 📄 Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure

As of commit c9bffde with merge base 0f8e096 ():

NEW FAILURE - The following job has failed:

• pull / nxp-mcuxpresso-test / linux-job (gh)
  undefined reference to SYS_INFO_PrintAll'`

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[github-actions]

This PR needs a release notes: label

If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

To add a label, you can comment to pytorchbot, for example
@pytorchbot label "release notes: none"

For more information, see
https://github.com/pytorch/pytorch/wiki/PyTorch-AutoLabel-Bot#why-categorize-for-release-notes-and-how-does-it-work.

[SS-JIA]

Review automatically exported from Phabricator review in Meta.