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91 lines
3.9 KiB
JSON
91 lines
3.9 KiB
JSON
{
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"schemaVersion": 1,
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"backend": "metal",
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"sourceOfTruth": "Runtime-ready means a built llama.cpp fork graph route selects the shipped Metal kernel and a numeric smoke test passes. Symbol presence in default.metallib is not enough.",
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"latestReport": "reports/porting/2026-05-11/remaining-work-ledger.md",
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"kernels": {
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"turbo3": {
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"runtimeCapabilityKey": "turbo3",
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"status": "runtime-ready",
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"runtimeReady": true,
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"shippedSymbols": [
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"kernel_turbo3_dot",
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"kernel_turbo3_dot_multi"
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],
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"graphOp": "GGML_OP_ATTN_SCORE_TBQ",
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"smokeTarget": "dispatch-smoke",
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"smokeCommand": "make -C packages/inference/verify dispatch-smoke",
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"smokeScores": 32,
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"maxDiff": 4.768e-7,
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"evidenceDate": "2026-05-11",
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"notes": "dispatch_smoke links against the built fork's libggml-metal.dylib and drives GGML_OP_ATTN_SCORE_TBQ through kernel_turbo3_dot_multi."
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},
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"turbo4": {
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"runtimeCapabilityKey": "turbo4",
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"status": "runtime-ready",
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"runtimeReady": true,
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"shippedSymbols": [
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"kernel_turbo4_dot",
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"kernel_turbo4_dot_multi"
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],
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"graphOp": "GGML_OP_ATTN_SCORE_TBQ",
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"smokeTarget": "dispatch-smoke",
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"smokeCommand": "make -C packages/inference/verify dispatch-smoke",
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"smokeScores": 32,
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"maxDiff": 4.768e-7,
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"evidenceDate": "2026-05-11",
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"notes": "kernel_turbo4_dot(_multi) consumes the fork GGML_TYPE_TBQ4_0 layout: four 32-wide block_tbq4_0 records per 128-row (ggml_row_size=72). dispatch_smoke drives GGML_OP_ATTN_SCORE_TBQ through kernel_turbo4_dot_multi and numerically checks the reference dot."
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},
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"turbo3_tcq": {
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"runtimeCapabilityKey": "turbo3_tcq",
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"status": "runtime-ready",
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"runtimeReady": true,
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"shippedSymbols": [
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"kernel_turbo3_tcq_dot",
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"kernel_turbo3_tcq_dot_multi"
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],
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"graphOp": "GGML_OP_ATTN_SCORE_TBQ",
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"smokeTarget": "dispatch-smoke",
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"smokeCommand": "make -C packages/inference/verify dispatch-smoke",
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"smokeScores": 32,
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"maxDiff": 4.768e-7,
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"evidenceDate": "2026-05-11",
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"notes": "The patch adds GGML_TYPE_TBQ3_TCQ row-size traits and drives GGML_OP_ATTN_SCORE_TBQ through kernel_turbo3_tcq_dot_multi with the TCQ codebook bound."
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},
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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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"shippedSymbols": [
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"kernel_attn_score_qjl1_256",
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"kernel_attn_score_qjl1_256_multi"
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],
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"graphOp": "GGML_OP_ATTN_SCORE_QJL",
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"smokeTarget": "dispatch-smoke",
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"smokeCommand": "make -C packages/inference/verify dispatch-smoke",
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"smokeScores": 32,
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"maxDiff": 2.384e-7,
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"evidenceDate": "2026-05-11",
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"notes": "dispatch_smoke links against the built fork's libggml-metal.dylib and drives GGML_OP_ATTN_SCORE_QJL through kernel_attn_score_qjl1_256_multi. Runtime tokens_per_threadgroup remains default 32, with ELIZA_METAL_QJL_TOKENS_PER_TG available for per-device autotune experiments."
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},
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"polar": {
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"runtimeCapabilityKey": "polarquant",
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"status": "runtime-ready",
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"runtimeReady": true,
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"shippedSymbols": [
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"kernel_get_rows_q4_polar",
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"kernel_mul_mv_q4_polar_f32",
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"kernel_mul_mv_q4_polar_preht_f32",
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"kernel_attn_score_q4_polar_preht_f32"
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],
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"graphOp": "GGML_OP_ATTN_SCORE_POLAR",
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"smokeTarget": "dispatch-smoke",
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"smokeCommand": "make -C packages/inference/verify dispatch-smoke",
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"smokeScores": 128,
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"maxDiff": 3.815e-6,
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"evidenceDate": "2026-05-11",
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"notes": "dispatch_smoke covers raw-q use_qjl=0/1 through kernel_mul_mv_q4_polar_f32 and pre-Hadamard use_qjl=0/1 through ggml_attn_score_polar_preht plus kernel_attn_score_q4_polar_preht_f32. The preHT route is only valid when the graph explicitly supplies H*q."
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}
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}
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}
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