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Run memory-safe frozen V121 semantic residual #2

Run memory-safe frozen V121 semantic residual

Run memory-safe frozen V121 semantic residual #2

name: Trace Ace V121 Frozen 128 Shard
on:
pull_request:
branches: [agent/trace-ace-mastery-events, agent/v111-runner]
paths:
- '.github/workflows/trace-ace-v121-128shard.yml'
workflow_dispatch:
concurrency:
group: trace-ace-v121-frozen-128shard
cancel-in-progress: false
env:
PREPARED_RUN_ID: '32400309220'
jobs:
embed:
strategy:
fail-fast: false
max-parallel: 16
matrix:
shard: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
runs-on: ubuntu-24.04
timeout-minutes: 10
permissions:
actions: read
contents: read
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.12'
cache: pip
- name: Install exact embedding dependencies
run: python -m pip install --disable-pip-version-check numpy fastembed==0.8.0
- name: Download exact frozen V121 prepared artifact
uses: actions/download-artifact@v4
with:
name: v121-prepared
path: v121_prepared
repository: heathsanchez/mathgraph
run-id: ${{ env.PREPARED_RUN_ID }}
github-token: ${{ secrets.GITHUB_TOKEN }}
- name: Verify frozen manifest
run: |
test -f v121_prepared/manifest.json
grep -q 'b1612f9fe4558680e468afb2a2452b75c603c244934fe62f7345feee68a61bc1' v121_prepared/manifest.json
- name: Embed exact frozen shard ${{ matrix.shard }}
run: |
cd competitions/trace_the_ace
python v121_embed_batch1_transport.py --dir ../../v121_prepared \
--shard ${{ matrix.shard }} --shards 128 \
--out ../../v121_embeddings_shard_${{ matrix.shard }}.npz
- uses: actions/upload-artifact@v4
with:
name: v121-embeddings-${{ matrix.shard }}
path: v121_embeddings_shard_${{ matrix.shard }}.npz
retention-days: 2
compression-level: 0
evaluate:
needs: embed
runs-on: ubuntu-24.04
timeout-minutes: 20
permissions:
actions: read
contents: read
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.12'
cache: pip
- name: Install evaluation dependencies
run: python -m pip install --disable-pip-version-check numpy pandas scipy scikit-learn fastembed==0.8.0
- name: Download exact frozen V121 prepared artifact
uses: actions/download-artifact@v4
with:
name: v121-prepared
path: v121_prepared
repository: heathsanchez/mathgraph
run-id: ${{ env.PREPARED_RUN_ID }}
github-token: ${{ secrets.GITHUB_TOKEN }}
- name: Download all exact embedding shards
uses: actions/download-artifact@v4
with:
pattern: v121-embeddings-*
path: v121_embedding_shards
merge-multiple: false
- name: Evaluate unchanged frozen V121 precommit
run: |
cd competitions/trace_the_ace
python v121_staged_transport.py evaluate --dir ../../v121_prepared \
--embeddings ../../v121_embedding_shards --out ../../v121_pretrained_semantic_residual.json
- name: Show decision
run: cat v121_pretrained_semantic_residual.json
- uses: actions/upload-artifact@v4
with:
name: trace-ace-v121-pretrained-semantic-residual
path: v121_pretrained_semantic_residual.json
retention-days: 14