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docs(synergy-map): R5 — lance-graph ONNX registry probe (#1850/#1851) - #398
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…gainst ndarray Every DO in the ONNX registry is an existing ndarray word; tensor(bool) is the ndarray mask word. Unregistered Unsqueeze/Shape/Concat/Gather/f16 Cast map to existing ndarray words; Erf has none (vserf, H11). ONNX QuantizeLinear is not Codec9 and is recorded as a non-synergy. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XAqKMPh2Seh2WLccCksAdY
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marked this pull request as ready for review
October 30, 2026 09:16
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Adds section R5 to
.claude/knowledge/synergy-map-2026-10-29.md. It covers lance-graph #1850 and #1851 (crates/tract-harvest-probe), which run an ONNX graph through the DT64 ON × WHEN × DO registry. Docs only.Closed, no ndarray work needed
gt_i32_to_mask,blend_i32,vsabs,vssqrtandmean_axis.tensor(bool)is decoded straight into the ndarray mask-word layout.[patch].Open, with the ndarray word that would close each (Jina v5: 3,700 of 7,620 nodes are unregistered)
Existing ndarray words already cover:
insert_axis,.shape()concatenateselectcast_f16_to_f32_batchdot(registered as Bounded until its summation order is measured)Missing:
Erf(novserf, H11). Optional:blend_i32_scalarforWhere(C, X, scalar)(L18).ReduceMeanand MatMul could become exact only if ORT's summation order turns out to be reproducible (V13, probe first).ONNX
QuantizeLinear/DequantizeLinearare not Codec9: different range, an affine zero point, and no "absent" state. This is recorded so nobody tries to match them.The facet-stride guard is clean on the diff.
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