jgrusewski 36d076b344 feat(iql): full pipeline wired — dual IQL, per-sample support, branch scales, gap exploration ...

- IQL mandatory: Option<GpuIqlTrainer> → GpuIqlTrainer (high + low tau)
- Full pipeline in submit_aux_ops: populate_q_out → gather → train both
  → advantages → adv_sigma → per_sample_support → branch_scales → gap → epsilon
- Delete v_range wrappers from FusedTrainingCtx
- Delete adapt_v_range calls from training_loop.rs
- Rename v_range_ptr → per_sample_support_ptr in experience collector
- Fixed eval v_range in metrics.rs (wide fixed range for argmax)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-04-13 15:26:39 +02:00

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asset_selection

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backtesting

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benchmark

refactor: collapse 9-level to 7-level ExposureLevel — eliminate degenerate Flat variants

2026-04-11 11:54:09 +02:00

checkpoint

cleanup: delete dead CPU replay buffers, DQNAgentType::Standard, add CUDA event profiling

2026-04-11 00:13:09 +02:00

cuda_common

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cuda_pipeline

feat(iql): full pipeline wired — dual IQL, per-sample support, branch scales, gap exploration

2026-04-13 15:26:39 +02:00

data_loaders

cleanup: remove ALL 32 enable_* feature flags — all features unconditional

2026-03-31 10:56:20 +02:00

data_pipeline

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data_validation

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deployment

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diffusion

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dqn

refactor: remove entire CPU training path — 5,307 lines of dead code

2026-04-02 09:06:23 +02:00

ensemble

WIP: training quality fixes + VarStore elimination (INCOMPLETE — needs xavier_init_params_buf)

2026-04-11 21:03:05 +02:00

evaluation

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explainability

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features

test: feature range validation — all 42 features bounded + no dead constants

2026-04-03 18:30:44 +02:00

flash_attention

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gpu_benchmarks

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hyperopt

feat: route evaluation through trainer's CUDA-Graphed forward pass

2026-04-13 09:21:58 +02:00

integration

cleanup: delete dead CPU replay buffers, DQNAgentType::Standard, add CUDA event profiling

2026-04-11 00:13:09 +02:00

kan

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labeling

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liquid

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mamba

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microstructure

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model_registry

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observability

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paper_trading

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ppo

refactor: collapse 9-level to 7-level ExposureLevel — eliminate degenerate Flat variants

2026-04-11 11:54:09 +02:00

regime

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regime_detection

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registry

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risk

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security

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stress_testing

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tests

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tft

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tgnn

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tlob

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trainers

feat(iql): full pipeline wired — dual IQL, per-sample support, branch scales, gap exploration

2026-04-13 15:26:39 +02:00

training

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transformers

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universe

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validation

refactor: collapse 9-level to 7-level ExposureLevel — eliminate degenerate Flat variants

2026-04-11 11:54:09 +02:00

xlstm

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.gitignore

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batch_processing.rs

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benchmarks.rs

cleanup: delete dead CPU replay buffers, DQNAgentType::Standard, add CUDA event profiling

2026-04-11 00:13:09 +02:00

bridge.rs

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data_loader.rs

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feature_cache.rs

feat: cache key includes symbol + data_source (prevents cross-instrument collisions)

2026-04-04 09:41:53 +02:00

fxcache.rs

refactor: fxcache single f32 format — delete bf16 version, remove --bf16 CLI flag

2026-04-10 18:45:49 +02:00

inference_validator.rs

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inference.rs

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lib.rs

cleanup: remove half crate dependency from entire workspace

2026-04-10 18:54:14 +02:00

model_factory.rs

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model_loader_integration.rs

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model_registry.rs

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portfolio_transformer.rs

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preprocessing.rs

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training_pipeline.rs

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training_profile.rs

feat: comprehensive C51 training stability overhaul — Q-stats diagnostics, adaptive atoms, gradient safety

2026-04-12 20:10:25 +02:00

training.rs

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walk_forward.rs

perf: zero-copy fold loop — fxcache to GPU once, index slices per fold

2026-04-02 22:46:30 +02:00