jgrusewski 56a7a2406b feat(cuda): bypass check_gradients_finite when GPU training guard active ...

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

2026-03-10 15:49:40 +01:00

..

common

refactor(ml): move shared infrastructure to ml-core + eliminate FactoredActionExt (5e)

2026-03-08 15:13:41 +01:00

config

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

gpu

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

memory_optimization

perf(gpu): dynamic episode scaling + BF16 cross-entropy stabilization

2026-03-09 21:16:47 +01:00

metrics

refactor(ml): move metrics/ + performance.rs to ml-core (5g)

2026-03-08 15:13:41 +01:00

optimizers

perf(gpu): zero-sync gradient clipping — eliminate all GPU→CPU barriers from hot path

2026-03-09 20:26:45 +01:00

safety

refactor(ml): move safety/ to ml-core + rename Real-prefixed types (5c)

2026-03-08 15:13:41 +01:00

types

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

action_space.rs

refactor(ml): move shared infrastructure to ml-core + eliminate FactoredActionExt (5e)

2026-03-08 15:13:41 +01:00

batch_size_resolver.rs

refactor(ml): move memory_optimization/ + batch_size_resolver to ml-core (5d)

2026-03-08 15:13:41 +01:00

cuda_compat.rs

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

error.rs

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

fill_simulator.rs

perf(gpu): eliminate GPU→CPU sync barriers from training hot path

2026-03-09 20:02:16 +01:00

gradient_accumulation.rs

feat(cuda): bypass check_gradients_finite when GPU training guard active

2026-03-10 15:49:40 +01:00

gradient_utils.rs

perf(gpu): zero-sync gradient clipping — eliminate all GPU→CPU barriers from hot path

2026-03-09 20:26:45 +01:00

lib.rs

feat(dqn): Branching DQN with full GPU Rainbow parity (7 fixes)

2026-03-09 13:17:06 +01:00

mixed_precision.rs

feat(ml): enable BF16 mixed precision by default on CUDA

2026-03-09 12:48:55 +01:00

model.rs

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

order_router.rs

refactor(ml): move shared infrastructure to ml-core + eliminate FactoredActionExt (5e)

2026-03-08 15:13:41 +01:00

performance.rs

refactor(ml): move metrics/ + performance.rs to ml-core (5g)

2026-03-08 15:13:41 +01:00

portfolio_tracker.rs

refactor(ml): move shared infrastructure to ml-core + eliminate FactoredActionExt (5e)

2026-03-08 15:13:41 +01:00

tensor_ops.rs

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

trading_action.rs

refactor(ml): move shared infrastructure to ml-core + eliminate FactoredActionExt (5e)

2026-03-08 15:13:41 +01:00

training.rs

refactor(ml): move UnifiedTrainable to ml-core + delete 6K dead deployment code

2026-03-08 15:17:22 +01:00

traits.rs

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

xavier_init.rs

fix(dqn): symmetric distributional support + near-zero output init to unfreeze Q-values

2026-03-08 18:11:22 +01:00