Two new one-shot WorkflowTemplates for validating smoke tests under
GPU-instrumentation tools that don't fit in the laptop's 4 GB VRAM:
- `sanitizer-test`: wraps cargo test smoke under `compute-sanitizer
--tool=memcheck|racecheck|synccheck|initcheck` with --target-processes all
so multi_fold_convergence's spawned `train_baseline_rl` subprocess is also
instrumented. Pre-builds train_baseline_rl example to avoid sanitizer
instrumenting cargo/rustc on the inner spawn. Triages internal-vs-real
errors and exits non-zero only on real bugs.
- `nsys-test`: wraps cargo test smoke under `nsys profile`. Captures CUDA +
NVTX + osrt traces with GPU metrics (ga10x set). Uploads .nsys-rep to
MinIO at foxhunt-training-artifacts/profiles/smoke/<short-sha>/, mirroring
the existing Plan 5 Task 3 production-training profile pattern in
train-multi-seed-template.
Wrapper scripts:
- scripts/argo-sanitizer.sh — `argo submit` wrapper, supports --multi-fold
shortcut for fold-boundary code paths (IQN sync, aux Adam reset,
iqn_readiness reset, MSE clamp) that single-fold tests cannot exercise.
- scripts/argo-nsys.sh — same shape as argo-sanitizer.sh, default test is
performance::test_real_data_single_epoch for broad coverage.
Why L40S: laptop RTX 3050 Ti's 4 GB cannot fit compute-sanitizer's
instrumentation metadata (~2-3x app VRAM) — sanitizer falls back to "didn't
track the launch" with 60k+ internal-allocation errors. L40S 48 GB has
ample headroom for both memcheck and nsys overhead.
Both templates compile cargo test --release --lib --no-run plus cargo build
--release --example train_baseline_rl on the cargo-target PVC. Compile time
dominated by sccache hit rate (production training image: 100% C/C++ cache,
~75% Rust cache after warmup).
Templates registered in kustomization.yaml — apply with `kubectl apply -k
infra/k8s/argo` before first submit.
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