https://nimi.ai/assets/N8AO-DSJtmV3z.js

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1oiseSamples":[4,8,16],"tapFeatureInverseStandardDeviation":[2.283243417739868,0.8810898065567017,0.8210930228233337,3.752316474914551,3.6375720500946045,2.670454978942871,10.249449729919434,0.12639354169368744,100],"tapFeatureMean":[0.010318092070519924,0.01364430133253336,0.13411010801792145,-0.004725644364953041,0.10053129494190216,0.8384788632392883,0.9203217625617981,1.7139031887054443,1],"tapInputBias":[0.4780646860599518,-0.45214661955833435,0.289407879114151,0.34804567694664,-0.1320028454065323,0.17722633481025696,0.011480014771223068,-0.26692497730255127],"tapInputWeights":[0,1,7,0,-1,-7,0,31,-2,-1,14,-126,0,0,-1,2,26,-2,0,66,-73,0,0,0,-12,22,-3,0,-76,-90,0,-1,-7,-3,58,-1,0,2,6,0,0,3,4,-40,0,0,3,-13,0,0,1,-7,-13,0,0,-7,10,0,-2,-7,0,-39,-2,0,-13,-19,0,-2,20,-1,3,-1],"tapOutputBias":[-0.3867710530757904,0.1349504142999649,0.35706064105033875,-0.5938405394554138,-0.031154220923781395,1.4079623222351074,-1.9221038818359375,0.6029739379882812],"tapOutputWeights":[18,-4,47,19,74,-94,-21,-9,73,-59,88,-10,-3,71,-7,24,20,74,24,-31,-12,-10,-15,-45,-126,2,-4,27,-5,24,35,-11,-4,9,-8,26,-10,27,26,-20,17,-50,5,-35,0,-5,12,-71,89,-58,22,-83,-115,7,-16,-89,89,22,1,-20,-22,-25,-26,44],"valueProjectionWeights":[-16,-6,40,-17,84,-76,59,51,-10,-2,-10,-1,-23,74,-70,23,-5,4,4,-7,-77,127,20,-48,-36,4,-17,-12,-4,10,29,-27,-2,11,-47,-50,-54,-3,14,11,-23,-1,109,31,4,-100,-33,-36,-19,0,-8,20,-35,-24,79,2,44,2,5,7,22,-70,-67,-35]}');const C=[["tapInputWeight","tapInputWeights",8,9],["tapOutputWeight","tapOutputWeights",8,8],["globalWeight","globalWeights",8,3],["keyWeight","keyProjectionWeights",8,8],["valueWeight","valueProjectionWeights",8,8],["headWeight","headWeights",8,32],["outputWeight","outputWeights",1,8]],T=e=>{const t=u(o).quantization?.scales?.[e];if(!(t>0)||!Number.isFinite(t))throw new Error(`The bundled N8AO neural model has no valid ${e} scale.`);return t};if(u(o).architecture!=="attention-v3-int8"||u(o).formatVersion!==3||u(o).quantization?.scheme!=="symmetric-int8-per-tensor"||u(o).quantization?.zeroPoint!==0||u(o).supportedDenoiseSamples?.join(",")!=="4,8,16"||C.some(([,e,t,r])=>u(o)[e]?.length!==t*r||u(o)[e].some(n=>!Number.isInteger(n)||n<-127||n>127)))throw new Error("The bundled N8AO neural denoise model has an unsupported layout.");const I=e=>{if(!Number.isFinite(e))throw new Error("The bundled N8AO neural model contains a non-finite value.");if(Object.is(e,-0))return"0.0";const t=Number(e).toString();return/[.eE]/.test(t)?t:`${t}.0`},N=["x","y","z","w"],B=e=>[...N.map(t=>`${e}.lo.${t}`),...N.map(t=>`${e}.hi.${t}`)],ve=(e,t)=>e===0?null:e===1?t:e===-1?`(-${t})`:e<0?`(-${I(-e)} * ${t})`:`${I(e)} * ${t}`,ge=(e,t)=>e===0?null:`${I(e)} * ${t}`,Y=e=>e.filter(Boolean).join(" + ")||"0.0",k=(e,t,r,n,l,s)=>{const b=n.map((a,m)=>ve(e[t*r+m],a));return`${I(l)} * (${Y(b)}) + ${I(s[t])}`},g=(e,t="        ")=>`vec4(
2${e.map(r=>`${t}    ${r}`).join(`,
3`)}
4${t})`,_=({functionName:e,scaleName:t,weights:r,bias:n,width:l=8,relu:s=!1})=>{const b=B("inputToken"),a=T(t),m=Array.from({length:8},(p,$)=>k(r,$,l,b,a,n)),d=g(m.slice(0,4)),c=g(m.slice(4)),f=p=>s?`max(${p}, vec4(0.0))`:p;return`
5    NeuralToken neural${e[0].toUpperCase()}${e.slice(1)}(NeuralToken inputToken) {
6        return NeuralToken(
7            ${f(d)},
8            ${f(c)}
9        );
10    }
11`},J=(e,t,r,n,l,s,b,a={})=>Array.from({length:l},(m,d)=>{let c=t[d];for(let f=0;f<s;f++){const p=e[d*s+f]*b;c-=p*n[f]*r[f],Object.hasOwn(a,f)&&(c+=p*n[f]*a[f])}return c}),K=T("tapInputWeight"),be=J(u(o).tapInputWeights,u(o).tapInputBias,u(o).tapFeatureMean,u(o).tapFeatureInverseStandardDeviation,8,9,K,{8:1}),we=B("scaledInput"),q=Array.from({length:8},(e,t)=>k(u(o).tapInputWeights,t,9,we,K,be)),ye=`
12    NeuralToken neuralTapInput(NeuralToken raw) {
13        NeuralToken scaledInput = NeuralToken(
14            raw.lo * ${g(u(o).tapFeatureInverseStandardDeviation.slice(0,4),"            ")},
15            raw.hi * ${g(u(o).tapFeatureInverseStandardDeviation.slice(4,8),"            ")}
16        );
17        return NeuralToken(
18            max(${g(q.slice(0,4))}, vec4(0.0)),
19            max(${g(q.slice(4))}, vec4(0.0))
20        );
21    }
22`,Z=T("globalWeight"),We=J(u(o).globalWeights,u(o).globalBias,u(o).globalFeatureMean,u(o).globalFeatureInverseStandardDeviation,8,3,Z),Se=N.slice(0,3).map(e=>`scaledInput.${e}`),V=Array.from({length:8},(e,t)=>k(u(o).globalWeights,t,3,Se,Z,We)),Ee=`
23    NeuralToken neuralEncodeGlobal(vec4 raw) {
24        vec3 scaledInput = raw.xyz * vec3(
25            ${u(o).globalFeatureInverseStandardDeviation.map(I).join(", ")}
26        );
27        return NeuralToken(
28            max(${g(V.slice(0,4))}, vec4(0.0)),
29            max(${g(V.slice(4))}, vec4(0.0))
30        );
31    }
32`,Oe=B("key"),Ie=Array.from({length:4},(e,t)=>Y(Oe.map((r,n)=>ge(u(o).summaryQueries[t*8+n],r)))),ze=`
33    vec4 neuralQueryScores(NeuralToken key) {
34        return ${g(Ie)};
35    }
36`,ee=[];for(let e=0;e<4;e++)ee.push(...N.map(t=>`runningSummaryLo[${e}].${t}`),...N.map(t=>`runningSummaryHi[${e}].${t}`));const Ne=T("headWeight"),Q=Array.from({length:8},(e,t)=>k(u(o).headWeights,t,32,ee,Ne,u(o).headBias)),Te=`
37    NeuralToken neuralHead(
38        vec4 runningSummaryLo[4],
39        vec4 runningSummaryHi[4]
40    ) {
41        return NeuralToken(
42            max(${g(Q.slice(0,4))}, vec4(0.0)),
43            max(${g(Q.slice(4))}, vec4(0.0))
44        );
45    }
46`,ke=k(u(o).outputWeights,0,8,B("head"),T("outputWeight"),[u(o).outputBias]),xe=`
47    float neuralOutput(NeuralToken head) {
48        return ${ke};
49    }
50`;[ye,_({functionName:"tapOutput",scaleName:"tapOutputWeight",weights:u(o).tapOutputWeights,bias:u(o).tapOutputBias,relu:!0}),Ee,_({functionName:"keyProject",scaleName:"keyWeight",weights:u(o).keyProjectionWeights,bias:new Array(8).fill(0)}),_({functionName:"valueProject",scaleName:"valueWeight",weights:u(o).valueProjectionWeights,bias:new Array(8).fill(0)}),ze,Te,xe].join(`
51`);C.reduce((e,[,t])=>e+u(o)[t].length,0);C.reduce((e,[,t])=>e+u(o)[t].filter(r=>r!==0).length,0);export{H as _,le as c,X as i,_e as j,se as m,Le as u,Fe as x};
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