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Docker image fl-claim-a7

fl-claim-a7_final.tar.zst is 6.62 GB, sha256 1832832330ab67b134795eaedd43d6d5c3dcf004596e1fd287d2e71b3af73536. It loads as fl-claim-a7:final, image ID sha256:78d5ced4f8731c440bf36fd6fdc1b488719d1f6e8193e5e7a401f6ade0b56c2e, 12.0 GB.

zstd -dc fl-claim-a7_final.tar.zst | docker load
docker run --rm --network none --cpus 4 -v $PWD/out:/out fl-claim-a7:final            # final
docker run --rm --network none --cpus 4 -v $PWD/out:/out fl-claim-a7:final smoke      # smoke
docker run --rm --network none --cpus 4 -v $PWD/out:/out fl-claim-a7:final exclusion  # exclusion
mode what it does result, 23 Oct 2026
final (default) redraws the claim image and 19 other views from the shipped maps and checks each PNG's sha256 MATCH, 20 of 20
smoke re-runs the three A-hn seeds on a 169 × 169 px CT crop inside the box, compares them with the shipped maps on the 43 × 43 px fully inside the crop, and rebuilds the product byte for byte PASS: largest difference 0.00174, r 0.99999
exclusion re-checks all 23,331 PHerc. 0306B training tiles against the exclusion zone in 3-D ALL ALLOWED
train (GPU, 1 to 2 hours) repeats the training: pool masks, teacher maps, machine labels, exclusion audit, fine-tune, claim map prepared, not run end to end
pipeline (GPU) runs the ink models on the full render, then final not run end to end

For train, the image holds the training code at the paths it ran from, with its configs, the zone and the meshes. List the CT renders and labels it needs with docker run --rm fl-claim-a7:final shell -c 'cat /opt/fl/train/INPUTS.tsv', mount them read-only at those paths (all are in this dataset), then run docker run --rm --gpus all -v $PWD/out:/out -v <data>:<path>:ro ... fl-claim-a7:final train. GPU kernels are not bit-exact across cards, so new weights differ in sha256; the run reports how closely the new map matches the shipped one.

To build the image from public sources instead, run bash docker/build.sh in the GitHub repo, https://github.com/SirProdigle/pherc0306b-first-letters. It fetches every input, checks each one's sha256 and builds with the recipe in submission/docker/. Our test logs are in submission/method/checks/docker_tests/.