jgrusewski d25f076f2a refactor(ml): use canonical DeviceConfig from gpu module in Liquid CfC ...

Replace local DeviceConfig enum definition in liquid/candle_cfc.rs with
a re-export from the central crate::gpu::DeviceConfig, eliminating
duplication while preserving all existing API and tests.

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

2026-02-23 11:25:31 +01:00

..

cuda

feat(liquid): add CandleCfCTrainer, re-exports, integration tests, CUDA fix

2026-02-23 00:08:56 +01:00

activation.rs

refactor(ml): remove 797 lines of commented-out code and disabled imports

2026-02-20 19:43:47 +01:00

adapter.rs

feat(liquid): add LiquidTrainableAdapter implementing UnifiedTrainable

2026-02-22 23:55:04 +01:00

candle_cfc.rs

refactor(ml): use canonical DeviceConfig from gpu module in Liquid CfC

2026-02-23 11:25:31 +01:00

cells.rs

refactor(ml): remove 797 lines of commented-out code and disabled imports

2026-02-20 19:43:47 +01:00

mod.rs

feat(liquid): add CandleCfCTrainer, re-exports, integration tests, CUDA fix

2026-02-23 00:08:56 +01:00

network.rs

refactor(ml): remove 797 lines of commented-out code and disabled imports

2026-02-20 19:43:47 +01:00

ode_solvers.rs

refactor(ml): remove 797 lines of commented-out code and disabled imports

2026-02-20 19:43:47 +01:00

tests.rs

🔧 Major compilation fixes across entire workspace - Significant progress achieved

2025-09-27 20:56:22 +02:00

training.rs

feat(liquid): add CandleCfCTrainer, re-exports, integration tests, CUDA fix

2026-02-23 00:08:56 +01:00