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Author	SHA1	Message	Date
jgrusewski	22004a7368	refactor(cuda): eliminate candle from ml-core, ml-ppo, and 4 thin crates Hard refactor — no shims, no compat layers. Candle removed from Cargo.toml and all source files in 6 crates: - ml-core: MlDevice enum, checkpoint.rs (safetensors direct), cudarc imports fixed from candle re-export to direct, AdamWConfig lr_decay, cuda_compat gutted. Net -7,341 lines. - ml-ppo: All 16 files rewritten. LSTM→CudaLSTM, VarMap→GpuVarStore, PPOAgent 2306→700 lines, checkpoint→binary format. - ml-ensemble: GPU-resident sigmoid via custom CUDA kernel. - ml-explainability: Integrated gradients via GPU finite-difference kernels. - ml-labeling: Device→MlDevice. - ml-hyperopt: Cargo.toml only. Remaining: ml-dqn (24 files), ml-supervised (4 files), ml crate (104 files). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-17 22:27:56 +01:00
jgrusewski	aa19b42255	refactor(ml): move UnifiedTrainable to ml-core + delete 6K dead deployment code - Move UnifiedTrainable trait, TrainingMetrics, CheckpointMetadata, and checkpoint helpers from ml to ml-core (zero new dependencies — ml-core already had candle-core + serde_json) - Wrap Mamba2SSM in Mamba2TrainableAdapter to satisfy orphan rule (trait in ml-core, type in ml-supervised — all other 9 models already used wrapper pattern) - Make Mamba2SSM::validate() pub for cross-crate adapter access - Delete 5 permanently disabled deployment modules (cfg(any()) — never compiled): registry, hot_swap, validation, monitoring, endpoints (-5,842 lines) - Delete 2 undeclared dead files in training/: dqn_trainer.rs, transformer_trainer.rs (-138 lines) - Fix pre-existing compute_loss test shape mismatch in mamba adapter UnifiedTrainable in ml-core unblocks future trainers/ extraction (17.8K lines) since model-specific trainers can now depend on ml-core for the trait without pulling in the full ml monolith. 14 files changed, +128 -6,497 (net -6,369 lines) Tests: 274 ml-core + 948 ml = 1,222 passed, 0 failed Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-08 15:17:22 +01:00

Author

SHA1

Message

Date

jgrusewski

22004a7368

refactor(cuda): eliminate candle from ml-core, ml-ppo, and 4 thin crates

Hard refactor — no shims, no compat layers. Candle removed from Cargo.toml
and all source files in 6 crates:

- ml-core: MlDevice enum, checkpoint.rs (safetensors direct), cudarc imports
  fixed from candle re-export to direct, AdamWConfig lr_decay, cuda_compat
  gutted. Net -7,341 lines.
- ml-ppo: All 16 files rewritten. LSTM→CudaLSTM, VarMap→GpuVarStore,
  PPOAgent 2306→700 lines, checkpoint→binary format.
- ml-ensemble: GPU-resident sigmoid via custom CUDA kernel.
- ml-explainability: Integrated gradients via GPU finite-difference kernels.
- ml-labeling: Device→MlDevice.
- ml-hyperopt: Cargo.toml only.

Remaining: ml-dqn (24 files), ml-supervised (4 files), ml crate (104 files).

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

2026-03-17 22:27:56 +01:00

jgrusewski

aa19b42255

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

- Move UnifiedTrainable trait, TrainingMetrics, CheckpointMetadata, and
  checkpoint helpers from ml to ml-core (zero new dependencies — ml-core
  already had candle-core + serde_json)
- Wrap Mamba2SSM in Mamba2TrainableAdapter to satisfy orphan rule (trait
  in ml-core, type in ml-supervised — all other 9 models already used
  wrapper pattern)
- Make Mamba2SSM::validate() pub for cross-crate adapter access
- Delete 5 permanently disabled deployment modules (cfg(any()) — never
  compiled): registry, hot_swap, validation, monitoring, endpoints
  (-5,842 lines)
- Delete 2 undeclared dead files in training/: dqn_trainer.rs,
  transformer_trainer.rs (-138 lines)
- Fix pre-existing compute_loss test shape mismatch in mamba adapter

UnifiedTrainable in ml-core unblocks future trainers/ extraction (17.8K
lines) since model-specific trainers can now depend on ml-core for the
trait without pulling in the full ml monolith.

14 files changed, +128 -6,497 (net -6,369 lines)
Tests: 274 ml-core + 948 ml = 1,222 passed, 0 failed

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

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

2 Commits