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Oleksandr Bezdieniezhnykh 8e563efd4c [AZ-615] Step-11 report + state: Jetson harness first end-to-end run
Records the first Jetson Tier-2 run results in the step-11 report:
17 pass / 5 fail / 1 skip / 1 xfail (24 total, 10m09s) — identical to
Colima because all 5 failures hit AZ-614 (tlog time-base mismatch)
BEFORE reaching the GPU. So the infrastructure is proven (image
builds, GPU exposed inside container, SUT subprocess runs to the
auto-sync stage) but the heavy ACs haven't yet exercised ALIKED /
DISK LightGlue. Fixing AZ-614 is the gating prerequisite to actually
drive the GPU stages.

Also captures lessons learned that are now in the setup doc:
  * Only dustynv/l4t-pytorch:r36.4.0 is a usable Jetson PyTorch base
    on Docker Hub for R36 / JetPack 6 (l4t-base deprecated, official
    l4t-pytorch has no R36 tags).
  * The dustynv image bakes a maintainer-LAN-only pip mirror into
    /etc/pip.conf — must be wiped + --index-url pinned to pypi.org.
  * pip 24.2 (image default) rejects gtsam-4.3a0 pre-release; pip 26.x
    accepts the same wheel for `gtsam<5.0,>=4.2` because there are no
    stable aarch64 builds. Upgrade pip in the build, don't relax pin.
  * nvidia-container-runtime mounts nvidia-smi from host, so the GPU
    smoke test needs only ubuntu:22.04 (80 MB), not l4t-jetpack (5 GB).

Autodev state advances to phase 7 / jetson-harness-online.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-18 08:14:26 +03:00

642 B

Autodev State

Current Step

flow: greenfield step: 11 name: Run Tests status: passed_with_followups sub_step: phase: 7 name: jetson-harness-online detail: "Track 1 done + AZ-615 Jetson Tier-2 harness wired. First Jetson run: identical to Colima (17 pass / 5 fail / 1 skip / 1 xfail, 10m09s). Same 5 failures hit AZ-614 (tlog synth time-base, arch-independent) BEFORE reaching the GPU. Image builds, GPU exposed, SUT runs — infrastructure proven. Next: fix AZ-614 to actually exercise the GPU. AZ-616 (real ../satellite-provider) + AZ-617 (tier2 marks done) queued." retry_count: 0 cycle: 1 tracker: jira last_completed_batch: 89