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4b9eed02e1
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Cleanup C1-C7: delete dead CuTeDSL FMHA, test probes, scratch files
- Deleted fmha.py (CuTeDSL slow path), FmhaKernel, Python KV merge
- Deleted fmha_sm100.cuh, fmha_sm100_tc.cuh, fmha_sm100_launch.cu, fmha_epilogue_sm100.cuh
- Moved fmha_qk_verify.cuh to tests/unit/qk_verify_kernel.cuh
- Deleted decode_sparse.py, decode_swa.py, kernels/decode/
- Deleted 46 test_d*.py probes, test_smem_*, test_cotiled_*, test_tmem_*,
test_smem_p_*, test_ultra_minimal, test_fmha_pv16, test_working_softmax_maybe
- Deleted root scratch: debug_linear.py, test_mapping.py, run_router_tests.py
- Moved archive/ to archived_plans/code_archive/
- Rewrote production.py: single fast path via 6-warp multi-tile kernel
- Added STATUS.md, audit_attention_live.md
- Moved NEXT_PRIORITIES*.md to archived_plans/
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2026-05-30 21:08:12 +00:00 |
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b9f15c250f
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Stage E: head-packed MQA/GQA, batch dim, custom_op, integration API
- production.py: head-packed M dimension for MQA/GQA (q_per_kv*T rows
in single launch per KV group, eliminating redundant K/V TMA loads)
- production.py: batch dimension support (outer Python loop)
- production.py: warmup_attention_kernels() for pre-compilation
- production.py: dsv4_attention_per_head() for exact per-head sink bias
- __init__.py: sparse_fmha_with_swa, dense_fmha_with_swa, swa_only_fmha
integration functions bridging AttentionSubBlock → production FMHA
- custom_ops.py: dsv4::sparse_fmha_with_swa custom_op registration
- test_production.py: comprehensive tests (MHA/MQA/GQA, head-packed vs
per-head parity, multi-segment KV, SWA+causal+sink, batch, edge cases)
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2026-05-27 15:15:03 +00:00 |
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