jgrusewski 0d639dfe97 feat(F8/G5): apply c51_budget as real grad scale — was accounting-only before ...

Add GpuDqnTrainer::apply_c51_budget_scale() which runs scale_f32_ungraphed
on grad_buf immediately after submit_forward_ops_main (C51 backward) and
before CQL/IQN SAXPYs in submit_aux_ops. Final master gradient is now a
weighted sum: c51_budget×C51 + cql_budget×CQL + iqn_budget×IQN.

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

2026-04-20 21:45:07 +02:00

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backtesting

refactor: remove configurable state_dim — use STATE_DIM constant everywhere

2026-04-20 15:29:05 +02:00

common

fix: switch tracing to stderr (unbuffered) — stdbuf has no effect on Rust

2026-04-02 16:29:55 +02:00

config

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ctrader-openapi

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data

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database

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market-data

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ml

feat(F8/G5): apply c51_budget as real grad scale — was accounting-only before

2026-04-20 21:45:07 +02:00

ml-asset-selection

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ml-backtesting

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ml-checkpoint

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ml-core

feat: L40S GPU profile + auto-derive cuda-compute-cap from GPU pool

2026-04-20 16:59:06 +02:00

ml-data

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ml-data-validation

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ml-dqn

feat(C1/P1): health-weighted PER priorities — boost diverse-action experiences during collapse

2026-04-20 20:04:38 +02:00

ml-ensemble

feat(ensemble): GPU-native ensemble reduce kernel, remove CPU fallbacks

2026-03-29 22:35:37 +02:00

ml-explainability

feat(ensemble): GPU-native ensemble reduce kernel, remove CPU fallbacks

2026-03-29 22:35:37 +02:00

ml-features

fix: zen precommit — 2 criticals + 3 lows resolved

2026-04-17 02:05:20 +02:00

ml-hyperopt

refactor: LHS is the correct algorithm for small budgets, not a fallback

2026-03-29 19:18:47 +02:00

ml-labeling

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ml-observability

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ml-paper-trading

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ml-ppo

cleanup: rename all _bf16 kernel functions and variables — pure f32 pipeline

2026-04-18 10:19:12 +02:00

ml-regime

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ml-regime-detection

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ml-risk

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ml-security

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ml-stress-testing

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ml-supervised

cleanup: remove half crate dependency from entire workspace

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

ml-universe

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ml-validation

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model_loader

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risk

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risk-data

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storage

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trading_engine

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trading-data

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training_uploader

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