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Run memory-safe frozen V121 semantic residual #6

Run memory-safe frozen V121 semantic residual

Run memory-safe frozen V121 semantic residual #6

name: Trace Ace V121 Frozen Embed Only
on:
pull_request:
branches: [agent/trace-ace-mastery-events, agent/v111-runner]
paths:
- '.github/workflows/trace-ace-v121-embed-only.yml'
workflow_dispatch:
# Reuses the already-successful exact frozen V121 prepared artifact from run 32400309220.
# Scientific model/text/sample/folds/gates are unchanged.
concurrency:
group: trace-ace-v121-embed-only-16-p4
cancel-in-progress: false
env:
PREPARED_RUN_ID: '32400309220'
jobs:
embed:
strategy:
fail-fast: false
max-parallel: 4
matrix:
shard: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
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 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: Verify frozen preparation manifest exists
run: |
test -f v121_prepared/manifest.json
cat v121_prepared/manifest.json
- name: Embed exact frozen V121 texts shard ${{ matrix.shard }}
run: |
cd competitions/trace_the_ace
python v121_staged_transport.py embed --dir ../../v121_prepared \
--shard ${{ matrix.shard }} --shards 16 \
--out ../../v121_embeddings_shard_${{ 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 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 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