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59 lines
4.2 KiB
JSON
59 lines
4.2 KiB
JSON
{
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"schemaVersion": 1,
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"backend": "cpu",
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"platform": "linux",
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"arch": "x64",
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"sourceOfTruth": "Runtime-ready means a built llama.cpp fork graph route selects the in-tree CPU op and real graph execution produces a finite, non-zero, deterministic result. For the CPU backend the score/decode arithmetic IS the C reference (packages/inference/reference/ + verify/qjl_polar_ref.c), so the standalone-fixture parity gate is `make reference-test`; this evidence file additionally records that the ops are reachable through ggml graph execution.",
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"status": "runtime-ready",
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"runtimeReady": true,
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"target": "linux-x64-cpu",
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"device": "Intel Core Ultra 9 275HX (24 cores, AVX2 + AVX-VNNI)",
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"atCommit": "eae44e75e82f70e85d9192e2e3cfa05fcbe80ab7",
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"smokeTarget": "cpu-dispatch-smoke",
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"smokeCommand": "make -C packages/inference/verify cpu-dispatch-smoke",
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"smokeSource": "verify/qjl_mt_check.c",
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"evidenceDate": "2026-05-11",
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"kernels": {
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"qjl": {
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"runtimeCapabilityKey": "qjl_full",
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"status": "runtime-ready",
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"runtimeReady": true,
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"graphOp": "GGML_OP_ATTN_SCORE_QJL",
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"builder": "ggml_attn_score_qjl",
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"smokeTarget": "cpu-dispatch-smoke",
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"smokeCommand": "make -C packages/inference/verify cpu-dispatch-smoke",
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"smokeOutputs": 24576,
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"bitMismatchesST_vs_MT": 0,
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"maxAbsDiffST_vs_MT": 0.0,
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"anyNaN": false,
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"refAllZero": false,
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"evidenceDate": "2026-05-11",
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"maxDiff": 0.0
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},
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"fused_attn": {
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"runtimeCapabilityKey": "fused_attn",
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"status": "runtime-ready",
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"runtimeReady": true,
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"graphOp": "GGML_OP_FUSED_ATTN_QJL_TBQ",
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"builder": "ggml_fused_attn_qjl_tbq",
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"note": "QJL-K score + online softmax + TBQ3-V mix; covers GGML_TYPE_QJL1_256 (K) and GGML_TYPE_TBQ3_0 (V) on the CPU backend. The standalone TBQ score op (GGML_OP_ATTN_SCORE_TBQ for turbo3/turbo4/turbo3_tcq) and the standalone Polar score op (GGML_OP_ATTN_SCORE_POLAR) are not exposed as public ggml builders in the fork's ggml.h \u2014 they are selected via the KV cache-type path; their CPU correctness is `make reference-test` (the C ops are the references) + the fused op above.",
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"smokeTarget": "cpu-dispatch-smoke",
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"smokeCommand": "make -C packages/inference/verify cpu-dispatch-smoke",
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"smokeOutputs": 32768,
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"bitMismatchesST_vs_MT": 0,
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"maxAbsDiffST_vs_MT": 0.0,
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"anyNaN": false,
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"refAllZero": false,
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"evidenceDate": "2026-05-11",
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"capabilityKey": "fused_attn",
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"maxDiff": 0.0
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}
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},
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"remaining": [
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"Wire probeKernels() in packages/app-core/scripts/build-llama-cpp-mtp.mjs to read this file for the CPU backend (mirror readVulkanRuntimeDispatchEvidence / vulkanCapabilityRuntimeReady) so a fresh linux-x64-cpu build's CAPABILITIES.json reports qjl_full runtime-ready instead of false. NOTE: this does NOT make the CPU build `publishable` \u2014 turbo3_tcq / polarquant remain false on the CPU backend (no CPU graph-dispatch op for the standalone TBQ/Polar score; the \u00a73 CPU kernel-completeness gate still fails the build by design). build-llama-cpp-mtp.mjs has uncommitted in-flight changes by a sibling workstream; the CPU-evidence probe wiring is left to that owner.",
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"kernel-contract.json runtimeStatus.cpu is now `runtime-ready` for the `qjl` kernel and the `fusedAttn` section (this evidence + a passing `make cpu-dispatch-smoke` back it; `make kernel-contract` green). The standalone TBQ/Polar score ops stay `reference-only` on cpu (validated by `make reference-test` \u2014 the C ops ARE the references)."
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],
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"atCommitNote": "The committed packages/inference/llama.cpp submodule pin. eae44e75 = the prior 08032d57 (\"merge: W4-B CUDA QJL + Polar + TBQ3_TCQ kernels\") + one follow-up commit; the ggml_attn_score_qjl / ggml_fused_attn_qjl_tbq public ggml builders are identical between the two. The cached linux-x64-cpu fork build under packages/inference/llama.cpp/build/linux-x64-cpu/bin (or $ELIZA_STATE_DIR/local-inference/bin/mtp/linux-x64-cpu) provides libggml-{cpu,base}.so for the smoke.",
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"smokeRerun": "make -C packages/inference/verify cpu-dispatch-smoke (no env vars: CPU_BIN_DIR + GGML_INC_DIR default to the in-repo fork build/checkout)"
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}
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