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jgrusewski ed1a9fa59d feat(ml): wire dead GPU optimizations — data preloading + PPO mixed precision forward

Quality audit found 2 dead code paths in the GPU optimization commit:

1. Data caching: preload_data() was defined on all 10 hyperopt adapters
   but never called. Now wired in both hyperopt binaries (RL + supervised)
   before the trial loop. Each model preloads training data once into
   Arc<Vec<...>>, eliminating per-trial disk I/O.

2. PPO mixed precision: config.mixed_precision was stored but never used
   in forward passes. Added forward_mixed() to PolicyNetwork and
   ValueNetwork (same BF16/FP16 pattern as DQN's NetworkLayers). Stored
   on network structs and auto-applied via forward(). Wired in
   PPO::with_device() for MLP networks.

Also fixes missing mixed_precision field in 2 test files and
trading_service PPOConfig literal.

5 files changed, +152/-20. 2418 tests pass, workspace compiles clean.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-01 18:23:03 +01:00

baseline_common

feat(training): move metrics to common::metrics, fix all clippy errors

2026-03-01 15:56:43 +01:00

cuda_test.rs

chore: clean up examples, update ML binaries and risk tests

2026-02-27 01:33:18 +01:00

download_baseline.rs

chore: clean up examples, update ML binaries and risk tests

2026-02-27 01:33:18 +01:00

evaluate_baseline.rs

feat(ml): maximize GPU utilization — BF16 mixed precision, dynamic sizing, sync reduction