rustytorch

2 Commits

Include renames

Author	SHA1	Message	Date
osobhandClaude Sonnet 5	4aaa36a57a	style: cargo fmt --workspace (whitespace/wrapping only, no semantic change) Whole-workspace rustfmt pass picked up while iterating on Mamba GPU backward work. Verified formatting-only via diff sampling; no logic changed. Co-Authored-By: Claude Sonnet 5 <[email protected]>	2026-08-10 07:09:36 -07:00
Omar SobhandClaude Sonnet 4.6	924c237096	feat(batch12): online quant calibration, draft distillation loss, gradient noise scale Documentation / Build User Guide (push) Successful in 12s Details CI / Build (ubuntu-latest) (push) Failing after 1m3s Details CI / Format Check (push) Failing after 19s Details CI / Clippy Check (push) Failing after 18s Details Documentation / Build API Documentation (push) Failing after 35s Details CI / Build CPU-Only (Explicit) (push) Failing after 1m17s Details Performance Benchmarks / Run Benchmarks (push) Successful in 2m10s Details CI / Build (macos-latest) (push) Failing after 57s Details CI / Test (macos-latest) (push) Has been skipped Details CI / Test (ubuntu-latest) (push) Has been skipped Details CI / Python Bindings (maturin) (macos-latest) (push) Has been skipped Details CI / Python Bindings (maturin) (ubuntu-latest) (push) Has been skipped Details CI / WASM Build + Size Check (push) Has been skipped Details CI / Distributed Training Tests (push) Has been skipped Details CI / CI Success (push) Failing after 1s Details - Online quantization calibration (rtx-compress): OnlineCalibrator with MaxAbs, EmaMaxAbs{momentum}, Percentile{percentile,bins} methods; streaming observe(); quantize_int8/dequantize_int8; int8_maxabs/int8_ema/fp8_maxabs convenience ctors; ModelCalibrator tracks all tensors; 17 tests + 2 doctests - Draft distillation loss (rtx-transformers): KL(p_target‖p_draft) + CE hard-label with temperature scaling; log_softmax/softmax/kl_divergence/token_acceptance_estimate primitives; DistillAccumulator for epoch-level tracking; normalize_by_length; 13 tests + 6 doctests - Gradient noise scale (rtx-transformers): GradientNoiseScale with McCandlish 2018 two-point B_noise estimator + Welford single-pass mode; EMA smoothing; should_increase/ decrease_batch signals; GnsTracker with bounded history + trend detection; 16 tests + 2 doctests Co-Authored-By: Claude Sonnet 4.6 <[email protected]>	2026-06-27 05:37:19 +00:00