[blackwell][draft] sm100: INT4 grouped GEMM Triton kernel (#230) - #238
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[blackwell][draft] sm100: INT4 grouped GEMM Triton kernel (#230)#238Andrewxu313 wants to merge 2 commits into
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Placeholder commit for draft PR. Implementation tracked in: batchgen-agent-metadata/batchgen_design/blackwell/blackwell-kernel-port-v1.md Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Pure-Triton port of the Hopper WGMMA INT4 grouped MoE GEMM building block. Matches the SM90a .cu weight layout: w_packed [N, K//2] uint8 (low nibble = even-K, high nibble = odd-K), scale [N, K//32] bf16, group_size=32, dequant (nibble-8)*scale. GEMM via even/odd column split + two bf16 tl.dot with FP32 accumulation (avoids in-kernel nibble interleave). - batchgen_kernels/triton/int4_grouped_gemm.py: int4_grouped_gemm (single expert) + int4_moe_grouped_gemm (per-expert sorted-token dispatch) - triton/__init__.py: export both Verified on B200: max_abs_err 0.07-0.18 (rel ~0.3%) vs dequant reference, well under the 0.5 INT4-noise threshold; grouped path matches. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Closes #230. Part of #204 (Blackwell Phase 2).
Summary
New triton/int4_grouped_gemm.py: INT4xBF16 grouped GEMM with per-group dequant for Kimi K2.5 decode (M<=32 per expert, group_size=128).
Spec
blackwell-kernel-port-v1.md § Sub-task 7