4d1d8ffa25
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.
3.9 KiB
Executable File
3.9 KiB
Executable File