- argo-train.sh: --profile flag forces multi-seed render path so the
nsys wrapper + foxhunt-training-artifacts upload step are visible in
--dry-run YAML without cluster contact (test surface).
- train-multi-seed-template.yaml: new `profile` parameter (default
"false") gates the per-(seed, fold) `nsys profile
--capture-range=cudaProfilerApi` wrapper and the `mc cp` upload to
foxhunt-training-artifacts/profiles/<sha>/. mc binary fetched
on-demand (ci-builder image lacks it). MinIO creds optional —
upload warn-skips if absent.
- Dockerfile.foxhunt-training-runtime: install nsight-systems-cli
unpinned (pinning the stale 2024.4.1.61-1 from earlier plans
breaks builds when apt index advances).
- minio.yaml: add foxhunt-training-artifacts bucket to minio-init.
- compare-nsys-profiles.py: V0 regression detector — compares
cuda_gpu_kern_sum total_ns / epoch_count between two profiles;
exits 1 on >20% slowdown. NVTX per-epoch ranges deferred to T5.
- tests/test_nsys_harness.sh: dry-run grep test — verifies both
required strings appear when --profile is set, and that the
default (no --profile) path keeps profile=false in the rendered
template.
- dqn-wire-up-audit.md: Plan 5 Task 3 row added documenting the
harness + the baseline-capture deferral to T5.
Backward compat: test_multi_seed_harness.sh from P5T1 still PASS.
Adds the orchestration surface for Plan 5 Task 1 — Multi-Seed × Multi-Fold
Validation Harness:
- scripts/argo-train.sh: new --multi-seed N, --folds K, --tag T, --dry-run
flags. Default --multi-seed 1 --folds 1 routes to the existing
train-template.yaml (backward compat — existing callers unchanged). When
N>1 or K>1 the script renders train-multi-seed-template.yaml with an
inline-generated (seed, fold) matrix and either prints the YAML
(--dry-run) or applies + submits it.
- infra/k8s/argo/train-multi-seed-template.yaml: new WorkflowTemplate with
entrypoint multi-seed-matrix → ensure-binary, gpu-warmup, ensure-fxcache,
then N*K parallel train-single instances. Each train-single receives
seed/fold via inputs.parameters and forwards them to the training binary
via --seed/--fold CLI args + SEED/FOLD env vars. The dag.tasks placeholder
`# __MATRIX_TASKS__` is substituted programmatically by argo-train.sh
(awk) — no hand-written 30-task matrix.
- scripts/tests/test_multi_seed_harness.sh: dry-run regression test.
Asserts --multi-seed 3 --folds 2 emits 6 WorkflowTask markers AND
--multi-seed 1 --folds 1 emits zero (single-template path preserved).
Validation:
- argo lint --offline passes on both the source template and the rendered
3x2 / 5x6 outputs.
- test_multi_seed_harness.sh passes locally.
- Single-job dry-run still produces the unchanged train-template YAML.
Note: plan Step 0.1 pre-plan check expects ISV_TOTAL_DIM=72 and seven
ATTN_*_FOCUS_EMA_INDEX slots — both stale (Plan 4 landed
ISV_TOTAL_DIM=117 and the VSN_MAG_EMA / VSN_DIR_EMA / MAMBA2_RETENTION_EMA
slots instead). Plan 4 validation doc never landed (T8 deferred → Plan 5
T5). T1 is pure infrastructure that builds the harness consumed by T5,
so the stale pre-plan expectations do not block this commit.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
