Restore per-shape definitions, workloads, tensor paths, configs, solutions
and figures while retaining curated workloads, imported contest GDN tasks,
SGLang wrappers and KDA configs.
Fix both per-shape FA4 baselines after removing the mask input. Make LTX
capture verify an all-visible mask before omitting it. Document the GDN
contracts and retained engine-interface adapters accurately.
Validation: native checks pass all 21 definitions, 1104 workloads and 5506
tensors; repository metadata and 14 capture cases pass; both FA4 baselines
pass all 20 dev workloads on B300 against the independent reference.
Merge per-shape definitions into one definition per operator
## Summary
KDA (Kernel Design Agents) builds its kernel tasks from this dataset, with the rule that a kernel written against a definition must drop into a real inference engine. This PR curates the dataset to that rule. It also adds SGLang's own implementations as baseline solutions, and KDA's acceptance configs.
**Removed**
- `dense_gemm_bf16_nt_n64_k4096` and `dense_gemm_bf16_nt_n4096_k64`: the image output and input projections, memory-bound 8–45 µs GEMMs that run once per forward.
- `grouped_gemm_fp8_fp4_e384_n2304_k5120_g32`: cut from the columns of the concatenated gate/up GEMM. No engine runs a separate gate or up GEMM, and its baseline computes the full N=4608 GEMM.
**Replaced**
- `gated_delta_rule_{decode,prefill}_h48_dk128_dv128` gave Q/K pre-repeated to 48 heads and a dense `[B, H, K, V]` state, while engines keep a k-last state pool. A kernel written against them would not drop into an engine.
- They are replaced by the [MLSys 2026 FlashInfer contest](https://huggingface…
2 days ago
Use model-independent names for generic kernel definitions
Rename 20 generic operator definitions and keep model names for the four
QSA, router and mixed-MLA interfaces with model-specific rules or layouts.
Update workload/capture references, tensor directories, baseline names,
capture hooks and shape charts together. Preserve workload UUIDs, all
tensor bytes, reference mathematics and baseline implementations.
Validation: all 24 definitions, 1383 workloads and 6763 tensor paths pass
the native schema, shape, dtype, provenance and complete content-hash checks.
24 unchanged definitions and references, 1383 workloads with matching captures, 24 baseline solutions, and all raw safetensors grouped by definition. Include only capture, validation, model preparation and plotting tooling.
