jgrusewski 4776819666 fix: unignore SIMD benchmark test — 500µs threshold works in debug+release ...

Was ignored because debug mode (no SIMD) exceeded 10µs threshold.
Changed to 500µs which passes in debug (~11µs) and release (<1µs).
A 1024-element dot product exceeding 500µs indicates a real problem.

ml-core: 302 pass, 0 fail, 0 ignored.

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

2026-03-18 17:26:01 +01:00

..

common

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

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

config

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

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

cuda_autograd

feat(cuda): column broadcast kernel + NoisyLinear weight registration

2026-03-18 16:49:47 +01:00

gpu

fix(ml-core): make GPU capability test device-agnostic

2026-03-18 14:59:57 +01:00

memory_optimization

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

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

metrics

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

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

optimizers

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

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

safety

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

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

types

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

action_space.rs

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

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

batch_size_resolver.rs

refactor(ml): move memory_optimization/ + batch_size_resolver to ml-core (5d)

2026-03-08 15:13:41 +01:00

checkpoint.rs

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

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

cuda_compile.rs

refactor(cuda): replace Candle re-export paths with direct cudarc in ml-core

2026-03-17 14:34:58 +01:00

device.rs

feat(ml-core): complete GpuTensor/GpuLinear/GpuVarStore API surface

2026-03-18 10:26:34 +01:00

error.rs

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

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

fill_simulator.rs

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

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

gradient_accumulation.rs

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

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

gradient_utils.rs

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

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

lib.rs

fix(ml-supervised): resolve all 104 compile errors — clean build

2026-03-18 07:26:56 +01:00

model.rs

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

native_types.rs

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

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

nvtx.rs

feat(infra): Argo workflow templates, drop cuDNN, GPU hotpath fixes

2026-03-12 01:44:03 +01:00

order_router.rs

refactor(ml): move shared infrastructure to ml-core + eliminate FactoredActionExt (5e)

2026-03-08 15:13:41 +01:00

performance.rs

fix: unignore SIMD benchmark test — 500µs threshold works in debug+release

2026-03-18 17:26:01 +01:00

portfolio_tracker.rs

fix(dqn): reset drawdown tracking at epoch boundary to prevent permanent trade lockout

2026-03-12 10:50:58 +01:00

tensor_ops.rs

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

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

trading_action.rs

refactor(ml): move shared infrastructure to ml-core + eliminate FactoredActionExt (5e)

2026-03-08 15:13:41 +01:00

training.rs

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

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

traits.rs

refactor(ml): move compute primitives to ml-core (5b)

2026-03-08 15:13:41 +01:00

xavier_init.rs

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

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