f1a359c90f
int_synth + int_entropy are pure i64 (no ort, no float), so the SAME Rust that decodes natively compiles to wasm32 and runs in the browser with no ML runtime at all — and the bytes are identical to native on every machine. This is the integer-entropy contract's payoff made visible: a learned-codec reconstruction whose hash is portable. - int_synth: factor the decode into `decode_from_spec(payload, spec_bytes)` (no std::fs); `decode(payload, path)` now reads the spec and delegates. WASM/no-FS sinks call the bytes entry point with host-supplied weights. Behavior- identical (4 int_synth tests green). - wai-web: add the `neural_int` feature + a `neural_int` wasm-bindgen module: decodeIntSynth(payload, specJson) -> RGB, the int_entropy primitives (fixedScaleEdges / quantizeScale / detBuildIndex), and blake3Hex for the in-page receipt check. Compiles to wasm32 (web + nodejs targets). - demo: int_synth.html/.js — decode a vector to a canvas and verify its BLAKE3 against the frozen native hash in-page. verify_int_synth.sh + verify_int_synth_wasm.mjs — reproducible CLI proof. Verified: all four conformance vectors (incl. the real trained 128×128 photo model, 21.6 dB) decode in wasm32 byte-identical to the frozen NATIVE corpus hashes. Deterministic learned-codec decode in-browser, zero JS ML runtime. Co-Authored-By: Claude Opus 4.8 <[email protected]>
37 lines
838 B
JSON
37 lines
838 B
JSON
{
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