open-standards/.github/workflows
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Merge pull request 'wai: typed receipt classes and the soft binding class, reading OER through the OER module' (#112) from wai/land-10-receipt-classes into main
2026-09-30 19:52:37 -04:00
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conformance.yml ci: target the self-hosted fleet labels, not GitHub-hosted images 2026-07-23 00:17:08 -04:00
joule-code-conformance.yml ci: bump hardcoded toolchain pins 1.97.1 → 1.98.0 2026-08-26 07:41:56 -04:00
jouleclaw-public-surface-documented.yml ci: bump hardcoded toolchain pins 1.97.1 → 1.98.0 2026-08-26 07:41:56 -04:00
no-vanity-metrics.yml ci: target the self-hosted fleet labels, not GitHub-hosted images 2026-07-23 00:17:08 -04:00
standards-build.yml ci(standards-build): exercise the macOS energy backend, which nothing did 2026-09-21 13:47:40 -04:00
wai-byte-equality.yml wai: add wai.neural.int_mlicpp, the MLIC++ entropy topology integer end to end 2026-09-30 01:39:56 -04:00
wai-conformance.yml wai: typed receipt classes and the soft binding class, reading OER through the OER module 2026-09-30 01:42:45 -04:00
wai-energy-receipts.yml wai: on-chip counters and calibrated instruments are separate energy classes, and every joule-carrying receipt can say which 2026-09-29 01:27:37 -04:00
wai-formal-verification.yml wai-rs: fast integer decode kernels that give the same integer for every output 2026-09-28 18:43:42 -04:00
wai-jpegai-e2e.yml ci(wai): run the JPEG AI cross-platform pinned-output test in the whole-decode job 2026-09-28 18:42:16 -04:00
wai-neural-e2e.yml wai-neural-e2e: make the job run, and fix the decoder mismatch it was hiding 2026-09-29 09:46:15 -04:00
wai-neural-gates.yml wai: add wai.neural.int_mlicpp, the MLIC++ entropy topology integer end to end 2026-09-30 01:39:56 -04:00
wai-sota-vectors.yml wai: the headline decode tests fail on a missing input, and CI supplies their inputs 2026-09-28 18:40:59 -04:00