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>

crates/ctrader-openapi/Cargo.toml

@@ -11,7 +11,7 @@ description = "cTrader Open API client — Protobuf over TCP+TLS for order routi
 [dependencies]
 tokio = { workspace = true, features = ["net", "sync", "time", "rt", "macros"] }
 tokio-native-tls.workspace = true
-native-tls = { version = "0.2", features = ["vendored"] }
+native-tls = "0.2"
 tokio-util = { workspace = true, features = ["codec"] }
 prost.workspace = true
 bytes.workspace = true