Add Dragon-backed XPOIS image-pair batches - #8
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Included review availability: Your plan provides up to 12 included reviews per hour; 1 remains after this review. 📝 WalkthroughWalkthroughThe change adds manifest-driven XPOIS image-pair fitting across DragonHPC GPU workers. It adds validated work contracts, input checks, worker orchestration, result auditing, CLI integration, timing data, documentation, and tests. ChangesXPOIS Dragon batch fitting
Priority: ⬆️ High Unblocks: 8 PRs Merge Risk: ⚪ Minimal · up to The batch command and distributed workflow are ready to merge after normal checks. 🚥 Pre-merge checks | ✅ 2✅ Passed checks (2 passed)
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melo-gonzo
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LGTM with nits. The failure-path evidence fixes that already landed internally (record written before the placement-mismatch raise, status/failed_count no longer feeding the shard mismatch set) arrive in #10. Worth stating that dependency in this PR body so a reader of the 0.1.3 history knows #8 alone is not the hardened version.
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Preserved your changes and added the count reconciliation in The honest per-item failure checks and unreachable The automatic-mask boundary checks are fixed in |
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In `@src/cuphoton/xpois/batch.py`:
- Around line 334-342: Update the auto_peak_percentile validation in
BatchFitOptions to require a finite value strictly greater than 0 and less than
100, so invalid boundaries are rejected before workers launch. Revise the
ValueError message to state that the value must be strictly between 0 and 100.
- Around line 322-327: Update the BatchFitOptions validation around
auto_stamp_size so that, when auto_stamp_mask is enabled, values below 3 are
rejected at the option boundary with a clear ValueError; preserve the existing
positive odd-integer validation otherwise.
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THIRD_PARTY_NOTICES.mddocs/components/xpois.mdexamples/xpois/dragon_batch.pysrc/cuphoton/core/bulk.pysrc/cuphoton/xpois/batch.pysrc/cuphoton/xpois/commands.pysrc/cuphoton/xpois/dragon.pysrc/cuphoton/xpois/workflows.pytests/core/test_bulk.pytests/core/test_cli_contract.pytests/xpois/test_batch.pytests/xpois/test_cli.pytests/xpois/test_dragon.py
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melo-gonzo
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Re-approving after the rebase. 7cf22b9 tightens the automatic-mask option validation before workers start (odd stamp size of at least 3 when masking, percentile strictly inside 0 to 100), and the only other deltas are doc anchors and the CLI count assertion.
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Run complete image-pair fits on explicitly placed GPU workers from a validated manifest. Balance shards by input size and record complete per-item results in immutable run directories. Signed-off-by: Trent Nelson <trentn@nvidia.com>
Signed-off-by: Carmelo Gonzales <carmelog@nvidia.com>
Count declared record-write failures against their assigned items, including records visible after a directory fsync failure. Reject malformed, unknown and duplicate error identities without labeling honest I/O failures as contradictory worker counts. Signed-off-by: Trent Nelson <trentn@nvidia.com>
Match the mask builder constraints for stamp size and peak percentile before launching workers. Keep a one-pixel stamp valid when automatic masking is disabled. Signed-off-by: Trent Nelson <trentn@nvidia.com>
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This PR adds
fit-batch-dragonfor XPOIS image-pair fitting. The coordinator reads a manifest, assigns complete fits to GPU workers with explicit device placement, balances work by input size, and saves per-item results and a run summary. Each image-pair fit runs on one GPU.This PR distinguishes valid failed-item records and record-write failures from inconsistent shard reports. Follow-up #10 adds MPI execution, preserves worker failure records when placement validation fails, and extends batch failure and provenance checks.
The command requires DragonHPC (
dragonhpc, imported asdragon) in the same Python environment as cuPhoton on every participating node. Installing cuPhoton alone does not install DragonHPC. The documentation covers installing the released runtime and launching a batch, and the third-party notices record this dependency.