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nnue_train: parallelize dense QAT integer forward (#415)
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#699:
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nnue_train: accelerate dense QAT integer forward
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#698:
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perf/dense-qat-parallel
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nnue_train: add dense QAT continuation for LayerStack checkpoints (#413)
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nnue_train: LayerStack raw checkpointからのdense QAT追加学習
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feat/layerstack-dense-qat
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nnue_train: FT混合精度のsampled数値診断を追加 (#414)
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nnue_train: FT混合精度のsampled数値診断を追加
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#694:
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#414
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feat/ft-precision-diagnostics
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nnue_train: record embedded trainer build provenance (#412)
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nnue_train: LayerStack raw checkpointからのdense QAT追加学習
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feat/layerstack-dense-qat
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nnue_train: record embedded trainer build provenance
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#691:
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fix/trainer-build-identity
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GPU リスコア driver を追加 (--rescore-input で教師 pool を i16 score sidecar に r…
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#690:
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GPU リスコア driver を追加 (--rescore-input で教師 pool を i16 score sidecar に relabel)
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#689:
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GPU リスコア driver を追加 (--rescore-input で教師 pool を i16 score sidecar に relabel)
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forward-only trainer の構成分岐カバレッジを補完 (fp16 / tf32 / threat / factorizer…
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nnue-train: 教師 pool relabel 用の順序保存 chunk loader と score sidecar write…
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forward-only trainer の構成分岐カバレッジを補完 (fp16 / tf32 / threat / factorizer / PSQT / shared-delta)
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test/forward-only-branch-coverage
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nnue-train: 教師 pool relabel 用の順序保存 chunk loader と score sidecar writer
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#684:
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feat/rescore-ordered-loader
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forward-only trainer の構成分岐カバレッジを補完 (fp16 / tf32 / threat / factorizer / PSQT / shared-delta)
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#683:
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nnue-train: 教師 pool relabel 用の順序保存 chunk loader と score sidecar writer
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#682:
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feat/rescore-ordered-loader
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GpuTrainer に forward-only モードを追加し --eval-only の device memory を削減 (#408)
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#681:
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GpuTrainer に forward-only モードを追加し --eval-only の device memory を削減
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#680:
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feat/gpu-trainer-forward-only
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bucket-mode 名を progresskpabs に改名 (旧名は非推奨 alias) (#407)
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#679:
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bucket-mode 名を progresskpabs に改名 (旧名は非推奨 alias)
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#678:
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#407
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1m 38s
refactor/bucket-mode-rename-progresskpabs
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nnue_train: WDL lambda の cosine-cycle スケジュールと result 欠損行の除外 (#406)
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nnue_train: WDL lambda の cosine-cycle スケジュールと result 欠損行の除外
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feat/wdl-cycle
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nnue_train: raw checkpoint に fv_scale を保存 (format v9) (#404)
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