ci: robust CI workflow + fix --userdataobj flag#63
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… benchmarking (KhronosGroup#61) Modeled after kiritigowda/rustVX conformance.yml workflow. Phase 1 (parallel): - build-debug: Debug build with all extensions + coverage flags - build-release: Release build with all extensions (for benchmarking) - build-cts: Build Khronos CTS against debug install Phase 2 (parallel, needs build-cts): - cts-baseline: Smoke tests + code coverage collection - cts-enhanced-vision, cts-neural-networks, cts-ix, cts-graph-features, cts-data-objects, cts-user-kernels: Stage-based CTS runs with --filter, matching rustVX pattern Phase 3 (PR only, needs build-release + build-main): - build-main: Build target branch release for comparison - perf-gate: Clone openvx-mark, build against PR and main, run benchmarks, compare results Known issues (marked continue-on-error): - cts-neural-networks: TensorNetworks.AlexNetTestNetwork fails to load weights (missing test_data file, pre-existing) - cts-graph-features: GraphPipeline.* fails (pipelining incomplete in C model target, pre-existing) Removed legacy .travis.yml and .gitlab-ci.yml. Excluded --conf_nnef due to NNEF-Tools GCC 11 incompatibility. Co-authored-by: Simon <simon@openclaw.ai>
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This PR replaces #62 and fixes all CI failures discovered during the first run.
What is fixed
Build.py — added missing
--userdataobjCLI flag (same as fix(Build.py): add missing --userdataobj CLI flag #62)CI workflow robustness:
build-mainnow probes for--userdataobjsupport before using it, avoiding chicken-and-egg failures when the base branch does not yet have the flag.build-debugpreservesbuild/Linux/x64/Debug/artifacts so downstreamlcovcoverage collection can find.gcno/.gcdafiles.cts-baselinerestored thelcovcoverage step.cts-neural-networksandcts-graph-featuresalready markedcontinue-on-errorfor known pre-existing failures.Verification