Files
foxhunt/scripts/tests/test_multi_seed_harness.sh
jgrusewski fcf76701f4 plan5(task5-B): pivot multi-seed Argo from N×K (seed,fold) to N seed-only fanout
The first L40S deploy attempt (workflow `train-multi-seed-z2llf`, terminated)
failed at startup with `error: unexpected argument '--fold' found` on every
job: `train_baseline_rl` is a multi-fold walk-forward executor that accepts
`--max-folds K`, NOT `--fold N`. The original P5T1 harness assumed the
opposite and fanned out N seeds × K folds = N*K jobs, each invoking the
binary with `--seed N --fold K`.

User chose Path B: pivot to one job per seed (each runs all K folds via the
existing `--max-folds` mechanism). Per-job runtime is K× longer, but fanout
drops from N*K=30 → N=5 (matches L40S pool capacity better) and the binary
contract becomes the one the binary actually has.

4 surface changes:

1. crates/ml/examples/train_baseline_rl.rs — add `--seed N` CLI arg
   (default 42 — historic implicit value). Sets `FOXHUNT_SEED` env var at
   startup BEFORE any CUDA module spins up. Logs the seed value at the
   training start banner.

2. crates/ml/src/cuda_pipeline/mod.rs — add `global_seed()` (reads
   `FOXHUNT_SEED`, default 42) + `mix_seed(base)` (SplitMix64 avalanche
   so adjacent global seeds produce uncorrelated module seeds). Six call
   sites updated to mix the global seed into their previously-hardcoded
   constants:
   - trainer/action.rs: GpuActionSelector seed (0xDEAD_BEEF_CAFE) + the
     epsilon-greedy fallback StdRng (0xAC7_DEF0).
   - cuda_pipeline/gpu_iqn_head.rs: IQN Xavier-init RNG (0x1CA_1234).
   - cuda_pipeline/gpu_iql_trainer.rs: V(s) Xavier-init RNG (0x1C1_9ABC).
   - cuda_pipeline/gpu_her.rs: random-donor RNG (0x4E4_5678).
   - cuda_pipeline/gpu_ppo_collector.rs: rng_seeds Vec for PPO
     experience-collector init + reset (0xAA0_5EED).
   - trainer/training_loop.rs: per-epoch regime_dropout_seed.

3. infra/k8s/argo/train-multi-seed-template.yaml — drop `fold` parameter
   from `train-single` template; binary invoked as `--seed "$SEED"
   --max-folds {{workflow.parameters.folds}}` so the walk-forward sweep
   happens inside the single training process. Drop `FOLD` env var. Update
   the nsys-rep upload filename to drop the fold suffix. Update banners /
   doc comments to reflect "one-job-per-seed" semantics.

4. scripts/argo-train.sh — matrix generator drops the inner fold loop.
   Each emitted task carries only `seed=${s}` and depends on the same
   ensure-fxcache + gpu-warmup. The dry-run synthetic marker switches from
   `seed=${s} fold=${f}` to `seed=${s} max_folds=${FOLDS}` so test harnesses
   count the new shape correctly.

5. scripts/tests/test_multi_seed_harness.sh — assertions updated:
   - `--multi-seed 3 --folds 2` produces 3 tasks (was 6).
   - Rendered binary command must include `--max-folds
     {{workflow.parameters.folds}}` placeholder.
   - Rendered template must declare `folds` workflow parameter (so
     `argo submit -p folds=K` overrides the default).
   - Rendered binary command must NOT contain any per-fold flag — this
     catches the failure mode that broke the first L40S deploy.
   - Backward-compat: `--multi-seed 1 --folds 1` preserves the existing
     single-template path (no DAG matrix tasks emitted).

6. docs/dqn-wire-up-audit.md — adds 1 Wired row documenting the pivot,
   the new `--seed`/`mix_seed` plumbing, all 6 RNG call sites, and the
   end-to-end seed-variation verification result.

Validation:

  cargo check --workspace clean at 11 warnings (workspace baseline preserved).

  cargo build --release --example train_baseline_rl succeeds; --help shows
  the new --seed flag with documented default 42.

  Seed-variation end-to-end test on RTX 3050 Ti (1 fold × 2 epochs each):
    --seed 42  → F0 best Sharpe = -9.7831, best_val_metric = 1.957244,
                 epoch-2 train Sharpe = -16.12, val_Sharpe = +1.11.
    --seed 999 → F0 best Sharpe = +92.9341, best_val_metric = 2.161012,
                 epoch-2 train Sharpe = +92.93, val_Sharpe = -0.25.
  Different best Sharpe / best_val_metric / epoch-2 train + val Sharpe
  across seeds proves the seed actually propagates through the RNG init
  paths and is not just accepted-and-ignored. The seed=42 numbers match
  the prompt's "deterministic baseline" expectation (F0 = -9.7831 was
  bit-identical pre-pivot because no global-seed plumbing existed).

  ./scripts/argo-train.sh dqn --multi-seed 5 --folds 6 --dry-run produces
  exactly 5 WorkflowTask markers (train-s0..train-s4), each with
  `--max-folds {{workflow.parameters.folds}}` in the binary invocation.

  All 3 harness tests PASS:
    - test_multi_seed_harness.sh: 5 PASS lines, exit 0.
    - test_nsys_harness.sh: 4 PASS lines + ALL PASS, exit 0.
    - test_tier_checks.sh: PASS overall (good-fixture passes, bad-fixture
      surfaces expected check rejections), exit 0.

Backward compat: existing single-job `argo-train.sh` callers (no
`--multi-seed`, no `--folds`) route to the original `train-template.yaml`
unchanged. `--seed 42` is a no-op offset for the SplitMix64 mix at the call
sites — the trajectory shifts only when the user passes `--seed` explicitly,
matching the prompt's "default 42 (historic implicit value)" requirement.

L40S pool: argo-train.sh defaults `--gpu-pool ci-training-h100`; user passes
`--gpu-pool ci-training-l40s` at deploy time. No script default change
(per constraint 5).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-26 14:11:32 +02:00

74 lines
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Executable File

#!/usr/bin/env bash
# Test: argo-train.sh --multi-seed N --folds K --dry-run emits one
# WorkflowTask per seed (N total). Each task internally runs all K folds via
# the binary's `--max-folds K` argument — train_baseline_rl is a multi-fold
# walk-forward executor, NOT a single-fold one.
#
# This is the validation surface for the Plan 5 Task 5 Phase B multi-seed
# Argo DAG (was N*K (seed, fold) jobs in Task 1A; pivoted to N seed-only jobs
# after the first deploy failed at startup with `--fold` not recognized).
# Verifies the matrix + binary command is generated correctly without
# submitting to a live cluster.
set -euo pipefail
# Resolve repo root from this script's location so the test runs from any cwd.
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="$(cd "${SCRIPT_DIR}/../.." && pwd)"
cd "${REPO_ROOT}"
# Dry-run: --multi-seed 3 --folds 2 should emit 3 training jobs (one per seed),
# each invoking the binary with `--max-folds 2` to run both folds internally.
output=$(./scripts/argo-train.sh dqn --multi-seed 3 --folds 2 --dry-run 2>&1)
actual_count=$(echo "$output" | grep -c "kind: WorkflowTask" || true)
expected=3
if [[ "$actual_count" -ne "$expected" ]]; then
echo "FAIL: expected $expected jobs (3 seeds, fold sweep inside binary), got $actual_count"
echo "--- output ---"
echo "$output"
exit 1
fi
echo "PASS: multi-seed harness produces $expected per-seed jobs for --multi-seed 3 --folds 2"
# The rendered binary command must include `--max-folds {{workflow.parameters.folds}}`
# (drives the walk-forward sweep inside the single training process) and must
# NOT include any per-fold flag — `train_baseline_rl` rejects `--fold`, which
# is what broke the first L40S deploy attempt (workflow train-multi-seed-z2llf,
# every job exited at startup with `error: unexpected argument '--fold' found`).
# The Argo `{{workflow.parameters.folds}}` placeholder is resolved at
# workflow submission time (argo-train.sh passes `-p folds=$FOLDS` to argo
# submit), not at template render time, so the dry-run shows the placeholder.
if ! echo "$output" | grep -qE -- "--max-folds[[:space:]]+\{\{workflow\.parameters\.folds\}\}"; then
echo "FAIL: rendered binary command missing '--max-folds {{workflow.parameters.folds}}'"
echo "--- output (rendered template, first 300 lines) ---"
echo "$output" | head -300
exit 1
fi
echo "PASS: rendered binary invocation includes --max-folds placeholder"
# Folds parameter must be declared at the workflow level so `argo submit -p
# folds=K` (which argo-train.sh emits) can override the default at submit time.
if ! echo "$output" | grep -qE "^[[:space:]]*-[[:space:]]*name:[[:space:]]*folds[[:space:]]*$"; then
echo "FAIL: rendered template does not declare 'folds' workflow parameter"
exit 1
fi
echo "PASS: rendered template declares folds workflow parameter"
if echo "$output" | grep -qE -- '--fold[[:space:]]+"?[0-9{]'; then
echo "FAIL: rendered binary command still contains a per-fold flag (--fold N)"
echo " train_baseline_rl rejects --fold; only --max-folds is supported."
echo "--- offending lines ---"
echo "$output" | grep -E -- '--fold[[:space:]]+"?[0-9{]'
exit 1
fi
echo "PASS: rendered binary invocation has no per-fold flag (Path B compliance)"
# Backward-compat: --multi-seed 1 --folds 1 must NOT emit WorkflowTask lines
# (single-job path uses the existing template, no DAG matrix).
output_single=$(./scripts/argo-train.sh dqn --multi-seed 1 --folds 1 --dry-run 2>&1)
single_tasks=$(echo "$output_single" | grep -c "kind: WorkflowTask" || true)
if [[ "$single_tasks" -ne 0 ]]; then
echo "FAIL: single-job dry-run should not emit multi-seed DAG tasks (got $single_tasks)"
exit 1
fi
echo "PASS: single-job dry-run preserves existing single-template path"