Reuse forward histograms in Triton TBE backward (#4491) - #4491
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stashuk-olek wants to merge 8 commits into
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Reuse forward histograms in Triton TBE backward (#4491)#4491stashuk-olek wants to merge 8 commits into
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Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
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Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
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Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
stashuk-olek
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Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
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Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
stashuk-olek
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Aug 6, 2026
Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
stashuk-olek
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Aug 6, 2026
Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
stashuk-olek
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Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
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Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
stashuk-olek
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Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
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Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
stashuk-olek
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Aug 6, 2026
Summary: Same histogram/count idea from fwd, but this time for bwd. Reviewed By: axeisghost Differential Revision: D114284800
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Summary: Use BoundsCheckMode.V2 for Triton TBE standalone index validation. This preserves the existing warning and offset-repair behavior while reducing validation overhead before Triton forward. Reviewed By: axeisghost, TroyGarden Differential Revision: D114279989
Summary: Validate and repair indices inside supported unweighted, non-VBE Triton forward kernels. Unsupported configurations retain the CUDA v2 fallback, while fused checked loads preserve warning accumulation without a separate full-index pass. Reviewed By: TroyGarden, axeisghost Differential Revision: D114284802
Summary: Restructure short- and long-run gradient accumulation to reduce serialized reduction pressure. The new reduction schedule exposes more independent work while preserving the existing exact rowwise optimizer update. Reviewed By: axeisghost Differential Revision: D114273026
) Summary: Reduce the dout reduction tile from 16 to 8 in the unweighted short-run, separate long-run accumulation, and fused long-run kernels. The smaller tile reduces live vector state and register pressure on B200 while retaining FP32 accumulation and the existing rowwise optimizer update. Weighted kernels remain unchanged. Reviewed By: axeisghost Differential Revision: D114403703
Summary: Process multiple bags per Triton program where the workload has enough parallelism. This amortizes program overhead and exposes independent loads without changing the embedding reduction. Reviewed By: axeisghost Differential Revision: D114280197
Summary: Issue up to eight independent index gathers per loop iteration on profitable long-bag shapes. The wider loop increases memory-level parallelism while retaining the four-wide path for shapes where register pressure dominates. Reviewed By: axeisghost Differential Revision: D114280947
Summary: Reuse exact counts from an eligible leading, unique small-table feature during exact rowwise Adagrad backward. Immutable plans carry actual table geometry, compensated FP16 high/residual matrix products preserve FP32 accuracy, and scalar validity enables safe fallback for long bags, aliases, graph capture, weighted inputs, and VBE. Reviewed By: axeisghost Differential Revision: D114284800
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Summary: Reuse exact counts from an eligible leading, unique small-table feature during exact rowwise Adagrad backward. Immutable plans carry actual table geometry, compensated FP16 high/residual matrix products preserve FP32 accuracy, and scalar validity enables safe fallback for long bags, aliases, graph capture, weighted inputs, and VBE. Reviewed By: axeisghost Differential Revision: D114284800
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Summary:
Reuse exact counts from an eligible leading, unique small-table feature during exact rowwise Adagrad backward. Immutable plans carry actual table geometry, compensated FP16 high/residual matrix products preserve FP32 accuracy, and scalar validity enables safe fallback for long bags, aliases, graph capture, weighted inputs, and VBE.
Reviewed By: axeisghost
Differential Revision: D114284800