2 Commits

Author	SHA1	Message	Date
jgrusewski	6ba52425ea	feat(infra): Argo workflow templates, drop cuDNN, GPU hotpath fixes ... - Add compile-and-deploy, train-dqn/ppo/supervised WorkflowTemplates - Add Argo Events (EventSource, Sensor, Service) for webhook triggers - Add NetworkPolicy for compile-and-deploy pods (MinIO/DNS/API egress) - Add convenience scripts: argo-compile-deploy.sh, argo-train.sh - Drop cuDNN feature flags from all 9 ML crates (zero conv ops in codebase) - Switch training runtime base to nvidia/cuda:12.9.1-runtime (saves ~800MB) - Delete unused selective_scan.cu (16KB, zero Rust callers) - Fix GPU hotpath violations in ml-core (NVTX, gradient utils, capabilities) - Fix clippy warnings in ml-dqn (VarMap backticks, const fn) - Add DQN GPU smoketest, backtest evaluator signal adapter fixes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-12 01:44:03 +01:00
jgrusewski	f19cd4b26a	test(cuda): add GPU backtest validation tests with synthetic data ... Adds crates/ml/tests/gpu_backtest_validation.rs with 6 deterministic tests that validate GpuBacktestEvaluator produces reasonable metrics: always-long on uptrend (positive PnL), always-long on downtrend (negative PnL), always-flat (~zero PnL), multi-window ordering, extended metrics finiteness/self-consistency, and trade count. All tests are #[ignore] gated and skip gracefully on CPU-only machines (CI passes with 6 ignored; intended for GPU development machines). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-11 11:38:45 +01:00