jgrusewski fb05631997 perf: capture spectral norm in graph_forward + EMA in graph_ema ...

Spectral norm (10 weight matrices):
- Moved into graph_forward capture (submit_spectral_norm_ops)
- Runs before cuBLAS forward — graph ensures normalized weights
- All device_ptr() → raw_ptr() (no cudarc events)
- ~10 kernel launches eliminated from per-step ungraphed ops

EMA target update:
- Captured as graph_ema (EMA kernel + f32→bf16 cast + 20 unflatten DtoD)
- tau read from GPU-resident tau_buf (async HtoD before replay)
- ~22 kernel launches (EMA + cast + 20 DtoD) → 1 graph replay

Per-step kernel launches now: 7 graph replays + ~4 ungraphed
(was: 5 graph replays + ~14 ungraphed)

Remaining ungraphed:
- upload_batch_gpu (8 ops — batch ptrs change per step)
- HER relabel (2 ops — donor indices change)
- IQN trunk gradient (2 ops — tau changes)
- IQN→PER DtoD (1 op)
- causal/vaccine (amortized, rare)
- regime_scale + PER update (2 ops)

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

2026-04-02 09:58:47 +02:00

..

backtesting

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

common

feat: gradient stability + 9-agent audit bug fixes

2026-03-27 19:52:44 +01:00

config

fix(ci): clippy test-gate uses --lib, fix pre-existing lint errors

2026-03-12 19:10:18 +01:00

ctrader-openapi

fix: tune log levels across workspace — demote noisy warn to debug/trace

2026-03-14 11:35:15 +01:00

data

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

database

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

market-data

…

ml

perf: capture spectral norm in graph_forward + EMA in graph_ema

2026-04-02 09:58:47 +02:00

ml-asset-selection

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-backtesting

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-checkpoint

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-core

chore: remove per_max_buffer_bytes fallback — all sizing VRAM-derived

2026-04-01 23:38:36 +02:00

ml-data

…

ml-data-validation

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-dqn

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

2026-04-02 09:06:23 +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: test reads threshold from dqn-smoketest.toml — no hardcoded values

2026-03-31 12:37:25 +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

fix(clippy): ml-supervised + ml-core + thin crates — 34 errors fixed

2026-03-19 00:39:03 +01:00

ml-observability

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-paper-trading

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-ppo

feat: add PPO CUDA kernels and curiosity inference kernel

2026-03-31 00:39:59 +02:00

ml-regime

refactor(cuda): eliminate all CPU fallbacks — CUDA mandatory across ML stack

2026-03-16 21:01:28 +01:00

ml-regime-detection

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-risk

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-security

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-stress-testing

fix(clippy): achieve zero warnings across entire workspace

2026-03-10 13:18:57 +01:00

ml-supervised

feat(bf16): ml-dqn, ml-ppo, ml-supervised, ml-ensemble, ml-explainability compile clean

2026-03-28 01:51:45 +01:00

ml-universe

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

ml-validation

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

model_loader

fix(clippy): resolve all clippy warnings across entire workspace (--all-targets)

2026-03-13 10:18:35 +01:00

risk

refactor: eliminate candle from entire workspace — tests, examples, Cargo.toml

2026-03-18 00:53:47 +01:00

risk-data

fix: tune log levels across workspace — demote noisy warn to debug/trace

2026-03-14 11:35:15 +01:00

storage

…

trading_engine

fix(ml): BF16/F32 boundary alignment, GPU-resident ops across all ML crates

2026-03-15 11:59:31 +01:00

trading-data

…

training_uploader

…