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n=t.child;n!==null;){if(n.tag===5||n.tag===6)e.appendChild(n.stateNode);else if(n.tag!==4&&n.child!==null){n.child.return=n,n=n.child;continue}if(n===t)break;for(;n.sibling===null;){if(n.return===null||n.return===t)return;n=n.return}n.sibling.return=n.return,n=n.sibling}};_0=function(){};Fk=function(e,t,n,i){var o=e.memoizedProps;if(o!==i){e=t.stateNode,mu(oa.current);var a=null;switch(n){case"input":o=By(e,o),i=By(e,i),a=[];break;case"select":o=ni({},o,{value:void 0}),i=ni({},i,{value:void 0}),a=[];break;case"textarea":o=Vy(e,o),i=Vy(e,i),a=[];break;default:typeof o.onClick!="function"&&typeof i.onClick=="function"&&(e.onclick=og)}Wy(n,i);var l;n=null;for(p in o)if(!i.hasOwnProperty(p)&&o.hasOwnProperty(p)&&o[p]!=null)if(p==="style"){var d=o[p];for(l in d)d.hasOwnProperty(l)&&(n||(n={}),n[l]="")}else 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t.flags&128?(t.lanes=n,t):(i=i!==null,i!==(e!==null&&e.memoizedState!==null)&&i&&(t.child.flags|=8192,t.mode&1&&(e===null||Jr.current&1?Ei===0&&(Ei=3):Lv())),t.updateQueue!==null&&(t.flags|=4),ss(t),null);case 4:return od(),_0(e,t),e===null&&ep(t.stateNode.containerInfo),ss(t),null;case 10:return bv(t.type._context),ss(t),null;case 17:return Fs(t.type)&&ag(),ss(t),null;case 19:if(Hr(Jr),a=t.memoizedState,a===null)return ss(t),null;if(i=(t.flags&128)!==0,l=a.rendering,l===null)if(i)xh(a,!1);else{if(Ei!==0||e!==null&&e.flags&128)for(e=t.child;e!==null;){if(l=pg(e),l!==null){for(t.flags|=128,xh(a,!1),i=l.updateQueue,i!==null&&(t.updateQueue=i,t.flags|=4),t.subtreeFlags=0,i=n,n=t.child;n!==null;)a=n,e=i,a.flags&=14680066,l=a.alternate,l===null?(a.childLanes=0,a.lanes=e,a.child=null,a.subtreeFlags=0,a.memoizedProps=null,a.memoizedState=null,a.updateQueue=null,a.dependencies=null,a.stateNode=null):(a.childLanes=l.childLanes,a.lanes=l.lanes,a.child=l.child,a.subtreeFlags=0,a.deletions=null,a.memoizedProps=l.memoizedProps,a.memoizedState=l.memoizedState,a.updateQueue=l.updateQueue,a.type=l.type,e=l.dependencies,a.dependencies=e===null?null:{lanes:e.lanes,firstContext:e.firstContext}),n=n.sibling;return 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computePoolOutputShape(s,u,f,g,w,m,P){if(u.length<=0)throw new Error("input shape must be of size greater than 0");let F=[u[0],u[1]];return Ah.computeShapeHelper(s,u,F,f,g,w,m,P),F}static computeConvOutputShape(s,u,f,g,w,m,P){if(s.length<=0||u.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");let F=[s[0],u[0]];return Ah.computeShapeHelper(!1,s,F,f,g,w,m,P),F}static computeShapeHelper(s,u,f,g,w,m,P,F){if(s)for(let O=0;O<u.length-2;O++)f.push(1);else for(let O=0;O<u.length-2;O++)f.push(Ah.adjustPadAndReturnShape(u[O+2],g[O],w[O],m[O],P,O,O+u.length-2,F))}static adjustPadAndReturnShape(s,u,f,g,w,m,P,F){let O=f*(g-1)+1;if(F&&F!=="NOTSET")switch(F){case"VALID":return w[m]=0,w[P]=0,Math.floor((s-O)/u+1);case"SAME_LOWER":case"SAME_UPPER":if(f!==1)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{let Y=((s+u-1)/u-1)*u+g-s;return w[m]=Math.floor(F==="SAME_LOWER"?(Y+1)/2:Y/2),w[P]=Y-w[m],Math.floor((s+Y-g)/u+1)}default:throw new Error("Unsupported AutoPad type")}else return Math.floor((s+w[m]+w[P]-O)/u+1)}},tr=class{static getShapeOfGemmResult(r,s,u,f,g){if(r.length!==2||u.length!==2)throw new Error("shape need to be of size 2");let w,m,P;s?(w=r[1],m=r[0]):(w=r[0],m=r[1]);let F=-1;if(f?(P=u[0],F=1):(P=u[1],F=0),u[F]!==m)throw new Error("dimension mismatch");if(w<=0||P<=0||m<=0)throw new Error("invalid shape specified");if(g&&!Qr.isValidBroadcast(g,[w,P]))throw new Error("gemm: invalid bias shape for broadcast");return[w,P,m]}},Rr=-34028234663852886e22,di=34028234663852886e22}),Ii,Ir,lr,ur,sn,nr,_r,Fr,Fi,gn,ua,Bt,vn,mo,Fo,Bl,go,Vn=c(()=>{Pn(),Mn(),Ii=64,Ir=(r,s)=>{if(s===3)throw new Error("vec3 has same alignment as vec4, use vec4 instead");switch(r){case 10:return s>1?`vec${s}<f16>`:"f16";case 1:return s>1?`vec${s}<f32>`:"f32";case 6:return s>1?`vec${s}<i32>`:"i32";case 12:return s>1?`vec${s}<u32>`:"u32";case 7:if(s>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2<u32>","i32"];case 13:if(s>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2<u32>","u32"];case 9:if(s!==4)throw new Error("bool must be vec4");return["u32","vec4<bool>"];case 22:return"i32";case 21:return"u32";default:throw new Error(`Unknown data type: ${r}`)}},lr=(r,s=1)=>{let u=Ir(r,s);return typeof u=="string"?u:u[0]},ur=(r,s=1)=>{let u=Ir(r,s);return typeof u=="string"?u:u[1]},sn=(...r)=>{let s=[];return r.forEach(u=>{u.length!==0&&s.push({type:12,data:u},{type:12,data:mt.computeStrides(u)})}),s},nr=r=>r%4===0?4:r%2===0?2:1,_r=(r="f32",s,u="0")=>!s||s===1?`${r}(${u})`:`vec${s}<${r}>(${u})`,Fr=(r,s,u)=>r==="f32"?u:s===1?`f32(${u})`:`vec${s}<f32>(${u})`,Fi=(r,s)=>s===4?`(${r}.x + ${r}.y + ${r}.z + ${r}.w)`:s===2?`(${r}.x + ${r}.y)`:s===3?`(${r}.x + ${r}.y + ${r}.z)`:r,gn=(r,s,u,f)=>r.startsWith("uniforms.")&&u>4?typeof s=="string"?f==="f16"?`${r}[(${s}) / 8][(${s}) % 8 / 4][(${s}) % 8 % 4]`:`${r}[(${s}) / 4][(${s}) % 4]`:f==="f16"?`${r}[${Math.floor(s/8)}][${Math.floor(s%8/4)}][${s%8%4}]`:`${r}[${Math.floor(s/4)}][${s%4}]`:u>1?`${r}[${s}]`:r,ua=(r,s,u,f,g)=>{let w=typeof u=="number",m=w?u:u.length,P=[...new Array(m).keys()],F=m<2?"u32":m<=4?`vec${m}<u32>`:`array<u32, ${m}>`,O=Ir(s,g),Y=typeof O=="string"?O:O[1],Q=typeof O=="string"?O:O[0],S={indices:F,value:Y,storage:Q,tensor:s},ie=Ft=>typeof Ft=="string"?Ft:`${Ft}u`,ce={offsetToIndices:!1,indicesToOffset:!1,broadcastedIndicesToOffset:!1,set:!1,setByIndices:!1,get:!1,getByIndices:!1},pe=w?"uniforms.":"",ke=`${pe}${r}_shape`,Pe=`${pe}${r}_strides`,be="";for(let Ft=0;Ft<m-1;Ft++)be+=`
    let dim${Ft} = current / ${gn(Pe,Ft,m)};
    let rest${Ft} = current % ${gn(Pe,Ft,m)};
    indices[${Ft}] = dim${Ft};
    current = rest${Ft};
    `;be+=`indices[${m-1}] = current;`;let We=m<2?"":`
  fn o2i_${r}(offset: u32) -> ${S.indices} {
    var indices: ${S.indices};
    var current = offset;
    ${be}
    return indices;
  }`,ze=Ft=>(ce.offsetToIndices=!0,m<2?Ft:`o2i_${r}(${Ft})`),Ge=[];if(m>=2)for(let Ft=m-1;Ft>=0;Ft--)Ge.push(`${gn(Pe,Ft,m)} * (indices[${Ft}])`);let zt=m<2?"":`
  fn i2o_${r}(indices: ${S.indices}) -> u32 {
    return ${Ge.join("+")};
  }`,It=Ft=>(ce.indicesToOffset=!0,m<2?Ft:`i2o_${r}(${Ft})`),Ht=(...Ft)=>m===0?"0u":`${S.indices}(${Ft.map(ie).join(",")})`,pn=(Ft,an)=>m<2?`${Ft}`:`${gn(Ft,an,m)}`,wn=(Ft,an,Nn)=>m<2?`${Ft}=${Nn};`:`${gn(Ft,an,m)}=${Nn};`,Xn={},ar=(Ft,an)=>{ce.broadcastedIndicesToOffset=!0;let Nn=`${an.name}broadcastedIndicesTo${r}Offset`;if(Nn in Xn)return`${Nn}(${Ft})`;let Pr=[];for(let ai=m-1;ai>=0;ai--){let ki=an.indicesGet("outputIndices",ai+an.rank-m);Pr.push(`${pn(Pe,ai)} * (${ki} % ${pn(ke,ai)})`)}return Xn[Nn]=`fn ${Nn}(outputIndices: ${an.type.indices}) -> u32 {
             return ${Pr.length>0?Pr.join("+"):"0u"};
           }`,`${Nn}(${Ft})`},Dn=(Ft,an)=>(()=>{if(S.storage===S.value)return`${r}[${Ft}]=${an};`;if(S.storage==="vec2<u32>"&&S.value==="i32")return`${r}[${Ft}]=vec2<u32>(u32(${an}), select(0u, 0xFFFFFFFFu, ${an} < 0));`;if(S.storage==="vec2<u32>"&&S.value==="u32")return`${r}[${Ft}]=vec2<u32>(u32(${an}), 0u);`;if(S.storage==="u32"&&S.value==="vec4<bool>")return`${r}[${Ft}]=dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(${an}));`;throw new Error(`not supported combination of storage type ${S.storage} and value type ${S.value} yet`)})(),Cr=Ft=>(()=>{if(S.storage===S.value)return`${r}[${Ft}]`;if(S.storage==="vec2<u32>"&&S.value==="i32")return`i32(${r}[${Ft}].x)`;if(S.storage==="vec2<u32>"&&S.value==="u32")return`u32(${r}[${Ft}].x)`;if(S.storage==="u32"&&S.value==="vec4<bool>")return`vec4<bool>(bool(${r}[${Ft}] & 0xFFu), bool(${r}[${Ft}] & 0xFF00u), bool(${r}[${Ft}] & 0xFF0000u), bool(${r}[${Ft}] & 0xFF000000u))`;throw new Error(`not supported combination of storage type ${S.storage} and value type ${S.value} yet`)})(),Vr=m<2?"":`
  fn get_${r}ByIndices(indices: ${S.indices}) -> ${Y} {
    return ${Cr(`i2o_${r}(indices)`)};
  }`,fr=m<2?"":(()=>{let Ft=P.map(Nn=>`d${Nn}: u32`).join(", "),an=P.map(Nn=>`d${Nn}`).join(", ");return`
  fn get_${r}(${Ft}) -> ${Y} {
    return get_${r}ByIndices(${Ht(an)});
  }`})(),Or=(...Ft)=>{if(Ft.length!==m)throw new Error(`indices length must be ${m}`);let an=Ft.map(ie).join(",");return m===0?Cr("0u"):m===1?Cr(an[0]):(ce.get=!0,ce.getByIndices=!0,ce.indicesToOffset=!0,`get_${r}(${an})`)},Fn=Ft=>m<2?Cr(Ft):(ce.getByIndices=!0,ce.indicesToOffset=!0,`get_${r}ByIndices(${Ft})`),sr=m<2?"":`
  fn set_${r}ByIndices(indices: ${S.indices}, value: ${Y}) {
    ${Dn(`i2o_${r}(indices)`,"value")}
  }`,vr=m<2?"":(()=>{let Ft=P.map(Nn=>`d${Nn}: u32`).join(", "),an=P.map(Nn=>`d${Nn}`).join(", ");return`
  fn set_${r}(${Ft}, value: ${Y}) {
    set_${r}ByIndices(${Ht(an)}, value);
  }`})();return{impl:()=>{let Ft=[],an=!1;return ce.offsetToIndices&&(Ft.push(We),an=!0),ce.indicesToOffset&&(Ft.push(zt),an=!0),ce.broadcastedIndicesToOffset&&(Object.values(Xn).forEach(Nn=>Ft.push(Nn)),an=!0),ce.set&&(Ft.push(vr),an=!0),ce.setByIndices&&(Ft.push(sr),an=!0),ce.get&&(Ft.push(fr),an=!0),ce.getByIndices&&(Ft.push(Vr),an=!0),!w&&an&&Ft.unshift(`const ${ke} = ${S.indices}(${u.join(",")});`,`const ${Pe} = ${S.indices}(${mt.computeStrides(u).join(",")});`),Ft.join(`
`)},type:S,offsetToIndices:ze,indicesToOffset:It,broadcastedIndicesToOffset:ar,indices:Ht,indicesGet:pn,indicesSet:wn,set:(...Ft)=>{if(Ft.length!==m+1)throw new Error(`indices length must be ${m}`);let an=Ft[m];if(typeof an!="string")throw new Error("value must be string");let Nn=Ft.slice(0,m).map(ie).join(",");return m===0?Dn("0u",an):m===1?Dn(Nn[0],an):(ce.set=!0,ce.setByIndices=!0,ce.indicesToOffset=!0,`set_${r}(${Nn}, ${an})`)},setByOffset:Dn,setByIndices:(Ft,an)=>m<2?Dn(Ft,an):(ce.setByIndices=!0,ce.indicesToOffset=!0,`set_${r}ByIndices(${Ft}, ${an});`),get:Or,getByOffset:Cr,getByIndices:Fn,usage:f,name:r,strides:Pe,shape:ke,rank:m}},Bt=(r,s,u,f=1)=>ua(r,s,u,"input",f),vn=(r,s,u,f=1)=>ua(r,s,u,"output",f),mo=(r,s,u,f=1)=>ua(r,s,u,"internal",f),Fo=class{constructor(r,s){this.normalizedDispatchGroup=r,this.limits=s,this.internalVariables=[],this.variables=[],this.uniforms=[],this.variableIndex=0}guardAgainstOutOfBoundsWorkgroupSizes(r){return`if (global_idx >= ${typeof r=="number"?`${r}u`:r}) { return; }`}mainStart(r=Ii){let s=typeof r=="number"?r:r[0],u=typeof r=="number"?1:r[1],f=typeof r=="number"?1:r[2];if(s>this.limits.maxComputeWorkgroupSizeX||u>this.limits.maxComputeWorkgroupSizeY||f>this.limits.maxComputeWorkgroupSizeZ)throw new Error(`workgroup size [${s}, ${u}, ${f}] exceeds the maximum workgroup size [${this.limits.maxComputeWorkgroupSizeX}, ${this.limits.maxComputeWorkgroupSizeY}, ${this.limits.maxComputeWorkgroupSizeZ}].`);if(s*u*f>this.limits.maxComputeInvocationsPerWorkgroup)throw new Error(`workgroup size [${s}, ${u}, ${f}] exceeds the maximum workgroup invocations ${this.limits.maxComputeInvocationsPerWorkgroup}.`);let g=this.normalizedDispatchGroup[1]===1&&this.normalizedDispatchGroup[2]===1,w=g?`@builtin(global_invocation_id) global_id : vec3<u32>,
    @builtin(workgroup_id) workgroup_id : vec3<u32>,
    @builtin(local_invocation_id) local_id : vec3<u32>`:`@builtin(global_invocation_id) global_id : vec3<u32>,
                                             @builtin(local_invocation_id) local_id : vec3<u32>,
    @builtin(local_invocation_index) local_idx : u32,
    @builtin(workgroup_id) workgroup_id : vec3<u32>,
    @builtin(num_workgroups) num_workgroups : vec3<u32>`,m=g?"let global_idx = global_id.x; let local_idx = local_id.x;":`let global_idx = (workgroup_id.z * num_workgroups[0] * num_workgroups[1] +
          workgroup_id.y * num_workgroups[0] + workgroup_id.x) * ${s*u*f}u + local_idx;`;return`@compute @workgroup_size(${s}, ${u}, ${f})
  fn main(${w}) {
    ${m}
  `}appendVariableUniforms(r){r.rank!==0&&(r.shape.startsWith("uniforms.")&&this.uniforms.push({name:r.shape.replace("uniforms.",""),type:"u32",length:r.rank}),r.strides.startsWith("uniforms.")&&this.uniforms.push({name:r.strides.replace("uniforms.",""),type:"u32",length:r.rank}))}declareVariable(r,s){if(r.usage==="internal")throw new Error("cannot use internal variable with declareVariable(). use registerInternalVariables() instead.");this.variables.push(r),this.appendVariableUniforms(r);let u=r.usage==="input"?"read":"read_write",f=r.type.storage;return`@group(0) @binding(${s}) var<storage, ${u}> ${r.name}: array<${f}>;`}declareVariables(...r){return r.map(s=>this.declareVariable(s,this.variableIndex++)).join(`
`)}registerInternalVariable(r){if(r.usage!=="internal")throw new Error("cannot use input or output variable with registerInternalVariable(). use declareVariables() instead.");this.internalVariables.push(r),this.appendVariableUniforms(r)}registerInternalVariables(...r){return r.forEach(s=>this.registerInternalVariable(s)),this}registerUniform(r,s,u=1){return this.uniforms.push({name:r,type:s,length:u}),this}registerUniforms(r){return this.uniforms=this.uniforms.concat(r),this}uniformDeclaration(){if(this.uniforms.length===0)return"";let r=[];for(let{name:s,type:u,length:f}of this.uniforms)if(f&&f>4)u==="f16"?r.push(`@align(16) ${s}:array<mat2x4<${u}>, ${Math.ceil(f/8)}>`):r.push(`${s}:array<vec4<${u}>, ${Math.ceil(f/4)}>`);else{let g=f==null||f===1?u:`vec${f}<${u}>`;r.push(`${s}:${g}`)}return`
      struct Uniforms { ${r.join(", ")} };
      @group(0) @binding(${this.variableIndex}) var<uniform> uniforms: Uniforms;`}get additionalImplementations(){return this.uniformDeclaration()+this.variables.map(r=>r.impl()).join(`
`)+this.internalVariables.map(r=>r.impl()).join(`
`)}get variablesInfo(){if(this.uniforms.length===0)return;let r=s=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(s)];return this.uniforms.map(s=>[r(s.type),s.length??1])}},Bl=(r,s)=>new Fo(r,s),go=(r,s)=>{let u=r.length,f=[];for(let g=0;g<u;g++){let w=u-1-g,m=r[w]||1;(s[s.length-1-g]||1)>1&&m===1&&f.unshift(w)}return f}}),ca,Oo,_o,Do,Oi,zo,da,yo=c(()=>{Pn(),Mn(),Bn(),Vn(),ca=r=>{if(!r||r.length!==1)throw new Error("Transpose requires 1 input.")},Oo=(r,s)=>s&&s.length!==r?[...new Array(r).keys()].reverse():s,_o=(r,s)=>mt.sortBasedOnPerm(r,Oo(r.length,s)),Do=(r,s,u,f)=>{let g=[];g.push(`fn perm(i: ${f.type.indices}) -> ${u.type.indices} {
    var a: ${u.type.indices};`);for(let w=0;w<s;++w)g.push(u.indicesSet("a",r[w],`i[${w}]`));return g.push("return a;}"),g.join(`
`)},Oi=(r,s)=>{let u=r.dataType,f=r.dims.length,g=Oo(f,s),w=_o(r.dims,g),m=vn("output",u,w.length),P=Bt("a",u,f),F;if(g.length===2&&g[0]===1&&g[1]===0){let O=m.type.value,Y=[16,16,1];F=Q=>`
  ${Q.registerUniform("output_size","u32").declareVariables(P,m)}
  var<workgroup> tile : array<array<${O}, ${Y[0]+1}>, ${Y[0]}>;
  ${Q.mainStart(Y)}
    var x = workgroup_id.x * ${Y[0]}u + local_id.x;
    var y = workgroup_id.y * ${Y[0]}u + local_id.y;
    let width = uniforms.output_shape[0];
    let height = uniforms.output_shape[1];
    if (x < width && y < height) {
      tile[local_id.y][local_id.x] = ${P.getByOffset("y * width + x")};
    }
    workgroupBarrier();
    x = workgroup_id.y * ${Y[0]}u + local_id.x;
    y = workgroup_id.x * ${Y[0]}u + local_id.y;
    if (x < height && y < width) {
      ${m.setByOffset("y * height + x","tile[local_id.x][local_id.y]")}
    }
  }`}else F=O=>`
  ${O.registerUniform("output_size","u32").declareVariables(P,m)}

  ${Do(g,f,P,m)}

  ${O.mainStart()}
    ${O.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let indices = ${m.offsetToIndices("global_idx")};
    let aIndices = perm(indices);

    ${m.setByOffset("global_idx",P.getByIndices("aIndices"))}
  }`;return{name:"Transpose",shaderCache:{hint:`${s}`,inputDependencies:["rank"]},getRunData:()=>{let O=mt.size(w);return{outputs:[{dims:w,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(O/64)},programUniforms:[{type:12,data:O},...sn(r.dims,w)]}},getShaderSource:F}},zo=(r,s)=>{ca(r.inputs),r.compute(Oi(r.inputs[0],s.perm))},da=r=>bn({perm:r.perm})}),Ro,fa,ha,pa,Lo,fi,vo,Zs,qa,Bo,Di,Ha,No,jo,Ds,ma,Vo,Uo,ga,_a,Nl,Ka=c(()=>{Pn(),Mn(),Vn(),qo(),yo(),Ro={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + exp(candidate)",l1:"bestValue + abs(candidate)",l2:"bestValue + candidate * candidate",logSum:"bestValue + candidate"},fa={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate",logSumExp:"bestValue + candidate",l1:"bestValue + candidate",l2:"bestValue + candidate",logSum:"bestValue + candidate"},ha={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},pa={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},Lo=(r,s)=>{let u=[];for(let f=s-r;f<s;++f)u.push(f);return u},fi=(r,s)=>{let u=[],f=r.length;for(let w=0;w<f;w++)s.indexOf(w)===-1&&u.push(r[w]);let g=s.map(w=>r[w]);return[u,g]},vo=(r,s)=>{let u=r.length+s.length,f=[],g=0;for(let w=0;w<u;w++)s.indexOf(w)===-1?f.push(r[g++]):f.push(1);return f},Zs=(r,s)=>{for(let u=0;u<r.length;++u)if(r[r.length-u-1]!==s-1-u)return!1;return!0},qa=(r,s)=>{let u=[];if(!Zs(r,s)){for(let f=0;f<s;++f)r.indexOf(f)===-1&&u.push(f);r.forEach(f=>u.push(f))}return u},Bo=(r,s,u,f,g,w,m)=>{let P=u[0].dims,F=mt.size(w),O=mt.size(m),Y=Bt("_A",u[0].dataType,P),Q=vn("output",g,w),S=32,ie=`
          var<workgroup> aBestValues : array<f32, ${S}>;
       `;return{name:r,shaderCache:s,getShaderSource:ce=>`
        ${ce.registerUniform("reduceSize","u32").declareVariables(Y,Q)}
        ${ie}
        fn DIV_CEIL(a : u32, b : u32) -> u32 {
          return ((a - 1u) / b + 1u);
         }
         ${ce.mainStart(S)}

          let outputIndex = global_idx / ${S};
          let offset = outputIndex * uniforms.reduceSize;

          var bestValue = f32(${ha[f]});
          let Length = uniforms.reduceSize;
          for (var k = local_idx; k < Length; k = k + ${S}) {
           let candidate = f32(${Y.getByOffset("offset + k")});
           bestValue = ${Ro[f]};
          }
          aBestValues[local_idx] = bestValue;
          workgroupBarrier();

         var reduceSize = min(Length, ${S}u);
         for (var currentSize = reduceSize / 2u; reduceSize > 1u;
             currentSize = reduceSize / 2u) {
           let interval = DIV_CEIL(reduceSize, 2u);
           if (local_idx < currentSize) {
            let candidate = aBestValues[local_idx + interval];
            bestValue = ${fa[f]};
            aBestValues[local_idx] = bestValue;
           }
           reduceSize = interval;
           workgroupBarrier();
         }

         if (local_idx == 0u) {
          ${Q.setByOffset("outputIndex",`${f==="mean"?`${Q.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${Q.type.storage}(${pa[f]})`}`)};
         }
        }`,getRunData:()=>({outputs:[{dims:w,dataType:g}],dispatchGroup:{x:F},programUniforms:[{type:12,data:O}]})}},Di=(r,s,u,f)=>{let g=r.inputs.length===1?u:bo(r.inputs,u),w=g.axes;w.length===0&&!g.noopWithEmptyAxes&&(w=r.inputs[0].dims.map((ie,ce)=>ce));let m=mt.normalizeAxes(w,r.inputs[0].dims.length),P=m,F=r.inputs[0],O=qa(P,r.inputs[0].dims.length);O.length>0&&(F=r.compute(Oi(r.inputs[0],O),{inputs:[0],outputs:[-1]})[0],P=Lo(P.length,F.dims.length));let[Y,Q]=fi(F.dims,P),S=Y;g.keepDims&&(S=vo(Y,m)),r.compute(Bo(s,{hint:g.cacheKey,inputDependencies:["type"]},[F],f,r.inputs[0].dataType,S,Q),{inputs:[F]})},Ha=(r,s)=>{Di(r,"ReduceMeanShared",s,"mean")},No=(r,s)=>{Di(r,"ReduceL1Shared",s,"l1")},jo=(r,s)=>{Di(r,"ReduceL2Shared",s,"l2")},Ds=(r,s)=>{Di(r,"ReduceLogSumExpShared",s,"logSumExp")},ma=(r,s)=>{Di(r,"ReduceMaxShared",s,"max")},Vo=(r,s)=>{Di(r,"ReduceMinShared",s,"min")},Uo=(r,s)=>{Di(r,"ReduceProdShared",s,"prod")},ga=(r,s)=>{Di(r,"ReduceSumShared",s,"sum")},_a=(r,s)=>{Di(r,"ReduceSumSquareShared",s,"sumSquare")},Nl=(r,s)=>{Di(r,"ReduceLogSumShared",s,"logSum")}}),yi,jl,wo,bo,ns,Xa,Qa,Ya,Za,Ja,el,ya,va,tl,Vl,Vi,Ul,Wo,rs,Lr,Go,xi,Wl,wa,ba,zs,qo=c(()=>{Pn(),Mn(),Bn(),Vn(),Ka(),yi=r=>{if(!r||r.length===0||r.length>2)throw new Error("Reduce op requires 1 or 2 inputs.");if(r.length===2&&r[1].dims.length!==1)throw new Error("Invalid axes input dims.")},jl=r=>["","",`var value = ${r.getByIndices("input_indices")};`,""],wo=(r,s,u,f,g,w,m=!1,P=!1)=>{let F=[],O=u[0].dims,Y=O.length,Q=mt.normalizeAxes(g,Y),S=!P&&Q.length===0;O.forEach((pe,ke)=>{S||Q.indexOf(ke)>=0?m&&F.push(1):F.push(pe)});let ie=F.length,ce=mt.size(F);return{name:r,shaderCache:s,getShaderSource:pe=>{let ke=[],Pe=Bt("_A",u[0].dataType,Y),be=vn("output",w,ie),We=f(Pe,be,Q),ze=We[2];for(let Ge=0,zt=0;Ge<Y;Ge++)S||Q.indexOf(Ge)>=0?(m&&zt++,ze=`for(var j${Ge}: u32 = 0; j${Ge} < ${O[Ge]}; j${Ge}++) {
                  ${We[2].includes("last_index")?`let last_index = j${Ge};`:""}
                  ${Pe.indicesSet("input_indices",Ge,`j${Ge}`)}
                  ${ze}
                }`):(ke.push(`${Pe.indicesSet("input_indices",Ge,be.indicesGet("output_indices",zt))};`),zt++);return`

        ${pe.registerUniform("output_size","u32").declareVariables(Pe,be)}

        ${pe.mainStart()}
          ${pe.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          var input_indices: ${Pe.type.indices};
          let output_indices = ${be.offsetToIndices("global_idx")};

          ${ke.join(`
`)}
          ${We[0]}       // init ops for reduce max/min
          ${We[1]}
          ${ze}
          ${We[3]}
          ${We.length===4?be.setByOffset("global_idx","value"):We.slice(4).join(`
`)}
        }`},getRunData:()=>({outputs:[{dims:F,dataType:w}],dispatchGroup:{x:Math.ceil(ce/64)},programUniforms:[{type:12,data:ce},...sn(O,F)]})}},bo=(r,s)=>{let u=[];return r[1].dims[0]>0&&r[1].getBigInt64Array().forEach(f=>u.push(Number(f))),bn({axes:u,keepDims:s.keepDims,noopWithEmptyAxes:s.noopWithEmptyAxes})},ns=(r,s,u,f)=>{let g=r.inputs,w=g.length===1?u:bo(g,u);r.compute(wo(s,{hint:w.cacheKey,inputDependencies:["rank"]},[g[0]],w.noopWithEmptyAxes&&w.axes.length===0?jl:f,w.axes,g[0].dataType,w.keepDims,w.noopWithEmptyAxes),{inputs:[0]})},Xa=(r,s)=>{yi(r.inputs),ns(r,"ReduceLogSum",s,(u,f)=>[`var value = ${f.type.storage}(0);`,"",`value += ${u.getByIndices("input_indices")};`,"value = log(value);"])},Qa=(r,s)=>{yi(r.inputs),ns(r,"ReduceL1",s,(u,f)=>[`var value = ${f.type.storage}(0);`,"",`value += abs(${u.getByIndices("input_indices")});`,""])},Ya=(r,s)=>{yi(r.inputs),ns(r,"ReduceL2",s,(u,f)=>[`var t = ${f.type.value}(0); var value = ${f.type.value}(0);`,"",`t = ${u.getByIndices("input_indices")}; value += (t * t);`,"value = sqrt(value);"])},Za=(r,s)=>{yi(r.inputs),ns(r,"ReduceLogSumExp",s,(u,f)=>[`var value = ${f.type.storage}(0);`,"",`value += exp(${u.getByIndices("input_indices")});`,"value = log(value);"])},Ja=(r,s)=>{yi(r.inputs),ns(r,"ReduceMax",s,(u,f,g)=>{let w=[];for(let m=0;m<u.rank;m++)(g.indexOf(m)>=0||g.length===0)&&w.push(u.indicesSet("input_indices",m,0));return[`${w.join(`
`)}`,`var value = ${u.getByIndices("input_indices")};`,`value = max(value, ${u.getByIndices("input_indices")});`,""]})},el=(r,s)=>{yi(r.inputs),ns(r,"ReduceMean",s,(u,f,g)=>{let w=1;for(let m=0;m<u.rank;m++)(g.indexOf(m)>=0||g.length===0)&&(w*=r.inputs[0].dims[m]);return["var sum = f32(0);","",`sum += f32(${u.getByIndices("input_indices")});`,`let value = ${f.type.value}(sum / ${w});`]})},ya=(r,s)=>{yi(r.inputs),ns(r,"ReduceMin",s,(u,f,g)=>{let w=[];for(let m=0;m<u.rank;m++)(g.indexOf(m)>=0||g.length===0)&&w.push(`input_indices[${m}] = 0;`);return[`${w.join(`
`)}`,`var value = ${u.getByIndices("input_indices")};`,`value = min(value, ${u.getByIndices("input_indices")});`,""]})},va=(r,s)=>{yi(r.inputs),ns(r,"ReduceProd",s,(u,f)=>[`var value = ${f.type.storage}(1);`,"",`value *= ${u.getByIndices("input_indices")};`,""])},tl=(r,s)=>{yi(r.inputs),ns(r,"ReduceSum",s,(u,f)=>[`var value = ${f.type.storage}(0);`,"",`value += ${u.getByIndices("input_indices")};`,""])},Vl=(r,s)=>{yi(r.inputs),ns(r,"ReduceSumSquare",s,(u,f)=>[`var t = ${f.type.value}(0); var value = ${f.type.value}(0);`,"",`t = ${u.getByIndices("input_indices")}; value += t * t;`,""])},Vi=(r,s,u)=>{if(s.length===0)return u;let f=1,g=1;for(let w=0;w<s.length;w++)s.indexOf(w)===-1?f*=r[w]:g*=r[w];return g<32&&f>1024},Ul=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?el(r,s):Ha(r,s)},Wo=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?Qa(r,s):No(r,s)},rs=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?Ya(r,s):jo(r,s)},Lr=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?Za(r,s):Ds(r,s)},Go=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?Ja(r,s):ma(r,s)},xi=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?ya(r,s):Vo(r,s)},Wl=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?va(r,s):Uo(r,s)},wa=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?tl(r,s):ga(r,s)},ba=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?Vl(r,s):_a(r,s)},zs=(r,s)=>{Vi(r.inputs[0].dims,s.axes,s.noopWithEmptyAxes)?Xa(r,s):Nl(r,s)}}),ks,Ss,nl,h,y=c(()=>{Pn(),Bn(),qo(),ks=r=>{if(!r||r.length===0||r.length>2)throw new Error("ArgMinMaxOp op requires 1 or 2 inputs.");if(r[0].dataType!==1)throw new Error("Invalid input type.")},Ss=(r,s)=>{ks(r.inputs);let u=(f,g,w)=>{let m=[];for(let P=0;P<f.rank;P++)(w.indexOf(P)>=0||w.length===0)&&m.push(`input_indices[${P}] = 0;`);return[`${m.join(`
`)}`,`var value = ${f.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${f.getByIndices("input_indices")} ${s.selectLastIndex>0?"<=":"<"} value) {
         value = ${f.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",g.setByOffset("global_idx","best_index")]};r.compute(wo("ArgMin",{hint:s.cacheKey,inputDependencies:["rank"]},[r.inputs[0]],u,[s.axis],7,s.keepDims),{inputs:[0]})},nl=(r,s)=>{ks(r.inputs);let u=(f,g,w)=>{let m=[];for(let P=0;P<f.rank;P++)(w.indexOf(P)>=0||w.length===0)&&m.push(`input_indices[${P}] = 0;`);return[`${m.join(`
`)}`,`var value = ${f.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${f.getByIndices("input_indices")} ${s.selectLastIndex>0?">=":">"} value) {
         value = ${f.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",g.setByOffset("global_idx","best_index")]};r.compute(wo("argMax",{hint:s.cacheKey,inputDependencies:["rank"]},[r.inputs[0]],u,[s.axis],7,s.keepDims),{inputs:[0]})},h=r=>bn(r)}),$,U,Z,le,Te,Le,Qe,qe=c(()=>{Pn(),Mn(),ye(),Vn(),$=(r,s)=>{let u=r[0],f=r[1],g=r[2],w=r[3],m=r[4],P=r[5];if(m&&P)throw new Error("Attention cannot have both past and attention_bias");if(u.dims.length!==3)throw new Error('Input "input" must have 3 dimensions');let F=u.dims[0],O=u.dims[1],Y=u.dims[2];if(g.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimensions');if(f.dims.length!==2)throw new Error('Input "weights" is expected to have 2 dimensions');if(f.dims[0]!==Y)throw new Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(g.dims[0]!==f.dims[1])throw new Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let Q=g.dims[0]/3,S=Q,ie=S;if(s.qkvHiddenSizes.length>0){if(s.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let We of s.qkvHiddenSizes)if(We%s.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");Q=s.qkvHiddenSizes[0],S=s.qkvHiddenSizes[1],ie=s.qkvHiddenSizes[2]}let ce=O;if(Q!==S)throw new Error("qkv_hidden_sizes first element should be same as the second");if(g.dims[0]!==Q+S+ie)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let pe=0;if(m){if(S!==ie)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(m.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(m.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(m.dims[1]!==F)throw new Error('Input "past" second dimension must be batch_size');if(m.dims[2]!==s.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(m.dims[4]!==S/s.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');s.pastPresentShareBuffer||(pe=m.dims[3])}let ke=ce+pe,Pe=-1,be=0;if(w)throw new Error("Mask not supported");if(m)throw new Error("past is not supported");if(P){if(P.dims.length!==4)throw new Error('Input "attention_bias" must have 4 dimensions');if(P.dims[0]!==F||P.dims[1]!==s.numHeads||P.dims[2]!==O||P.dims[3]!==ke)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:F,sequenceLength:O,pastSequenceLength:pe,kvSequenceLength:ce,totalSequenceLength:ke,maxSequenceLength:Pe,inputHiddenSize:Y,hiddenSize:Q,vHiddenSize:ie,headSize:Math.floor(Q/s.numHeads),vHeadSize:Math.floor(ie/s.numHeads),numHeads:s.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:s.maskFilterValue,maskType:be,scale:s.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},U=(r,s,u)=>{let f=nr(u),g=64,w=u/f;w<g&&(g=32);let m=Math.ceil(u/f/g),P=[{type:1,data:1/u},{type:12,data:w},{type:12,data:m}],F=lr(r.dataType,f),O=ur(1,f),Y=["type"],Q=S=>{let ie=vn("x",r.dataType,r.dims,f),ce=ur(r.dataType),pe=[{name:"d_inv",type:"f32"},{name:"d_comp",type:"u32"},{name:"elements_per_thread",type:"u32"}];return`
  var<workgroup> thread_max: array<f32, ${g}>;
  var<workgroup> thread_sum: array<f32, ${g}>;
  ${S.registerUniforms(pe).declareVariables(ie)}
  ${S.mainStart([g,1,1])}
    let local_offset = local_idx * uniforms.elements_per_thread;
    let offset = (global_idx / ${g}) * uniforms.d_comp + local_offset;

    var thread_max_vector = ${O}(-3.402823e+38f);
    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {
      thread_max_vector = max(${O}(x[offset + i]), thread_max_vector);
    }
    thread_max[local_idx] = ${(()=>{switch(f){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw new Error(`Unsupported components: ${f}`)}})()};
    workgroupBarrier();

    var max_value =  f32(-3.402823e+38f);
    for (var i = 0u; i < ${g}; i++) {
      max_value = max(thread_max[i], max_value);
    }

    var sum_vector = ${O}(0);
    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {
      sum_vector += exp(${O}(x[offset + i]) - max_value);
    }
    thread_sum[local_idx] = ${(()=>{switch(f){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw new Error(`Unsupported components: ${f}`)}})()};
    workgroupBarrier();

    var sum: f32 = 0;
    for (var i = 0u; i < ${g}; i++) {
      sum += thread_sum[i];
    }

    if (sum == 0) {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {
        x[offset + i] = ${ie.type.value}(${ce}(uniforms.d_inv));
      }
    } else {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {
        var f32input = ${O}(x[offset + i]);
        x[offset + i] = ${ie.type.value}(exp(f32input - max_value) / sum);
      }
    }
  }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${g};${F};${f}`,inputDependencies:Y},getShaderSource:Q,getRunData:()=>({outputs:[],dispatchGroup:{x:s},programUniforms:P})}},Z=(r,s,u,f,g,w,m,P)=>{let F=P+w.kvSequenceLength,O=[w.batchSize,w.numHeads,w.sequenceLength,F],Y=w.kvNumHeads===void 0&&r>1&&f,Q=Y?[w.batchSize,w.numHeads,F,w.headSize]:void 0,S=m.scale===0?1/Math.sqrt(w.headSize):m.scale,ie=nr(w.headSize),ce=w.headSize/ie,pe=12,ke={x:Math.ceil(F/pe),y:Math.ceil(w.sequenceLength/pe),z:w.batchSize*w.numHeads},Pe=[{type:12,data:w.sequenceLength},{type:12,data:ce},{type:12,data:F},{type:12,data:w.numHeads},{type:1,data:S},{type:12,data:P},{type:12,data:w.kvSequenceLength}],be=Y&&f&&mt.size(f.dims)>0,We=["type","type"];be&&We.push("type"),g&&We.push("type");let ze=[{dims:O,dataType:s.dataType,gpuDataType:0}];Y&&ze.push({dims:Q,dataType:s.dataType,gpuDataType:0});let Ge=zt=>{let It=Bt("q",s.dataType,s.dims,ie),Ht=Bt("key",u.dataType,u.dims,ie),pn=[It,Ht];if(be){let Cr=Bt("past_key",f.dataType,f.dims,ie);pn.push(Cr)}g&&pn.push(Bt("attention_bias",g.dataType,g.dims));let wn=vn("output",s.dataType,O),Xn=[wn];Y&&Xn.push(vn("present_key",s.dataType,Q,ie));let ar=ur(1,ie),Dn=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"}];return`
  const TILE_SIZE = ${pe}u;

  var<workgroup> tileQ: array<${It.type.storage}, ${pe*pe}>;
  var<workgroup> tileK: array<${It.type.storage}, ${pe*pe}>;
  ${zt.registerUniforms(Dn).declareVariables(...pn,...Xn)}
  ${zt.mainStart([pe,pe,1])}
    // x holds the N and y holds the M
    let headIdx = workgroup_id.z;
    let m = workgroup_id.y * TILE_SIZE;
    let n = workgroup_id.x * TILE_SIZE;
    let qOffset = uniforms.M * uniforms.K * headIdx + m * uniforms.K;
    ${be&&Y?`
    let kOffset = uniforms.kv_sequence_length * uniforms.K * headIdx;
    let pastKeyOffset = uniforms.past_sequence_length * uniforms.K * headIdx;`:`
    let kOffset = uniforms.N * uniforms.K * headIdx + n * uniforms.K;`}
    ${Y?"let presentKeyOffset = headIdx * uniforms.N * uniforms.K;":""}
    var value = ${ar}(0);
    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) {
        tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x];
      }
      if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) {
        var idx = TILE_SIZE * local_id.y + local_id.x;
      ${be&&Y?`
              if (n + local_id.y < uniforms.past_sequence_length) {
                tileK[idx] = past_key[pastKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x];
              } else {
                tileK[idx] =
                         key[kOffset + (n + local_id.y - uniforms.past_sequence_length) * uniforms.K + w + local_id.x];
              }`:"tileK[idx] = key[kOffset + local_id.y * uniforms.K + w + local_id.x];"}
      ${Y?"present_key[presentKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x] = tileK[idx];":""}
      }
      workgroupBarrier();

      for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {
        value += ${ar}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]);
      }

      workgroupBarrier();
    }

    let headOffset = headIdx * uniforms.M * uniforms.N;
    if (global_id.y < uniforms.M && global_id.x < uniforms.N) {
      let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x;
      var sum: f32 = ${(()=>{switch(ie){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw new Error(`Unsupported components: ${ie}`)}})()};
        output[outputIdx] = ${wn.type.value} (sum * uniforms.alpha) + ${g?"attention_bias[outputIdx]":"0.0"};
    }
  }`};return{name:"AttentionProbs",shaderCache:{hint:`${ie};${g!==void 0};${f!==void 0};${r}`,inputDependencies:We},getRunData:()=>({outputs:ze,dispatchGroup:ke,programUniforms:Pe}),getShaderSource:Ge}},le=(r,s,u,f,g,w)=>{let m=w+g.kvSequenceLength,P=g.nReps?g.nReps:1,F=g.vHiddenSize*P,O=g.kvNumHeads==null&&r>1&&f,Y=O?[g.batchSize,g.numHeads,m,g.headSize]:void 0,Q=[g.batchSize,g.sequenceLength,F],S=12,ie={x:Math.ceil(g.vHeadSize/S),y:Math.ceil(g.sequenceLength/S),z:g.batchSize*g.numHeads},ce=[{type:12,data:g.sequenceLength},{type:12,data:m},{type:12,data:g.vHeadSize},{type:12,data:g.numHeads},{type:12,data:F},{type:12,data:w},{type:12,data:g.kvSequenceLength}],pe=O&&f&&mt.size(f.dims)>0,ke=["type","type"];pe&&ke.push("type");let Pe=[{dims:Q,dataType:s.dataType,gpuDataType:0}];O&&Pe.push({dims:Y,dataType:s.dataType,gpuDataType:0});let be=We=>{let ze=Bt("probs",s.dataType,s.dims),Ge=Bt("v",u.dataType,u.dims),zt=[ze,Ge];pe&&zt.push(Bt("past_value",f.dataType,f.dims));let It=[vn("output",s.dataType,Q)];O&&It.push(vn("present_value",s.dataType,Y));let Ht=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"}];return`
  const TILE_SIZE = ${S}u;
  var<workgroup> tileQ: array<${ze.type.value}, ${S*S}>;
  var<workgroup> tileK: array<${ze.type.value}, ${S*S}>;
  ${We.registerUniforms(Ht).declareVariables(...zt,...It)}
  ${We.mainStart([S,S,1])}
   let headIdx = workgroup_id.z;
   let m = global_id.y;
   let n = global_id.x;

   let offsetA = headIdx * (uniforms.M * uniforms.K) + m * uniforms.K;
   ${pe&&O?`
    let pastValueOffset = headIdx * uniforms.N * uniforms.past_sequence_length + n;
    let vOffset = headIdx * uniforms.N * uniforms.kv_sequence_length + n;
      `:`
   let offsetB = headIdx * uniforms.N * uniforms.K + n;
            `}
    ${O?"let presentValueOffset = headIdx * uniforms.N * uniforms.K + n;":""}
   var value = ${ze.type.storage}(0);
   for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (m < uniforms.M && w + local_id.x < uniforms.K) {
        tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x];
      }
      if (n < uniforms.N && w + local_id.y < uniforms.K) {
        var idx = TILE_SIZE * local_id.y + local_id.x;
        ${pe&&O?`
        if (w + local_id.y < uniforms.past_sequence_length) {
          tileK[idx] = past_value[pastValueOffset + (w + local_id.y) * uniforms.N];
        } else {
          tileK[idx] = v[vOffset + (w + local_id.y - uniforms.past_sequence_length) * uniforms.N];
        }
      `:`
        tileK[idx] = v[offsetB + (w + local_id.y) * uniforms.N];
      `}
        ${O?"present_value[presentValueOffset + (w + local_id.y) * uniforms.N] = tileK[idx];":""}
      }
     workgroupBarrier();
     for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {
       value += tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * k + local_id.x];
     }
     workgroupBarrier();
   }

   // we need to transpose output from BNSH_v to BSND_v
   let batchIdx = workgroup_id.z / uniforms.num_heads;
   let currentBatchHeadNumber = workgroup_id.z % uniforms.num_heads;
   if (m < uniforms.M && n < uniforms.N) {
     let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size
       + currentBatchHeadNumber * uniforms.N + n;
     output[outputIdx] = value;
   }
  }`};return{name:"AttentionScore",shaderCache:{hint:`${f!==void 0};${r}`,inputDependencies:ke},getRunData:()=>({outputs:Pe,dispatchGroup:ie,programUniforms:ce}),getShaderSource:be}},Te=(r,s,u,f,g,w,m,P,F,O,Y)=>{let Q=Math.min(r.outputCount,1+(m?1:0)+(P?1:0)),S=O.kvNumHeads!==void 0||Q>1?O.pastSequenceLength:0,ie=S+O.kvSequenceLength,ce=F&&mt.size(F.dims)>0?F:void 0,pe=[s,u];O.kvNumHeads===void 0&&Q>1&&m&&mt.size(m.dims)>0&&pe.push(m),ce&&pe.push(ce);let ke=r.compute(Z(Q,s,u,m,ce,O,Y,S),{inputs:pe,outputs:O.kvNumHeads===void 0&&Q>1?[-1,1]:[-1]})[0];r.compute(U(ke,O.batchSize*O.numHeads*O.sequenceLength,ie),{inputs:[ke],outputs:[]});let Pe=[ke,f];O.kvNumHeads===void 0&&Q>1&&P&&mt.size(P.dims)>0&&Pe.push(P),r.compute(le(Q,ke,f,P,O,S),{inputs:Pe,outputs:O.kvNumHeads===void 0&&Q>1?[0,2]:[0]})},Le=(r,s)=>{let u=[s.batchSize,s.numHeads,s.sequenceLength,s.headSize],f=s.sequenceLength,g=s.inputHiddenSize,w=s.headSize,m=12,P={x:Math.ceil(s.headSize/m),y:Math.ceil(s.sequenceLength/m),z:s.batchSize*s.numHeads},F=[r.inputs[0],r.inputs[1],r.inputs[2]],O=[{type:12,data:f},{type:12,data:g},{type:12,data:w},{type:12,data:s.numHeads},{type:12,data:s.headSize},{type:12,data:s.hiddenSize},{type:12,data:s.hiddenSize+s.hiddenSize+s.vHiddenSize}],Y=Q=>{let S=vn("output_q",F[0].dataType,u),ie=vn("output_k",F[0].dataType,u),ce=vn("output_v",F[0].dataType,u),pe=Bt("input",F[0].dataType,F[0].dims),ke=Bt("weight",F[1].dataType,F[1].dims),Pe=Bt("bias",F[2].dataType,F[2].dims),be=pe.type.storage,We=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}];return`
  const TILE_SIZE = ${m}u;
  var<workgroup> tileInput: array<${be}, ${m*m}>;
  var<workgroup> tileWeightQ: array<${be}, ${m*m}>;
  var<workgroup> tileWeightK: array<${be}, ${m*m}>;
  var<workgroup> tileWeightV: array<${be}, ${m*m}>;
  ${Q.registerUniforms(We).declareVariables(pe,ke,Pe,S,ie,ce)}
  ${Q.mainStart([m,m,1])}
    let batchIndex = workgroup_id.z / uniforms.num_heads;
    let headNumber = workgroup_id.z % uniforms.num_heads;
    let m = global_id.y;
    let n = global_id.x;

    let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K;
    let biasOffsetQ = headNumber * uniforms.head_size;
    let biasOffsetK = uniforms.hidden_size + biasOffsetQ;
    let biasOffsetV = uniforms.hidden_size + biasOffsetK;

    var valueQ = ${be}(0);
    var valueK = ${be}(0);
    var valueV = ${be}(0);
    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (m < uniforms.M && w + local_id.x < uniforms.K) {
        tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x];
      }
      if (n < uniforms.N && w + local_id.y < uniforms.K) {
        let offset = n + (w + local_id.y) * uniforms.ldb;
        tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset];
        tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset];
        tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset];
      }
      workgroupBarrier();
      for (var k: u32 = 0u; k<TILE_SIZE && w+k < uniforms.K; k++) {
        let inputTileOffset = TILE_SIZE * local_id.y + k;
        let weightTileOffset = TILE_SIZE * k + local_id.x;
        valueQ += tileInput[inputTileOffset] * tileWeightQ[weightTileOffset];
        valueK += tileInput[inputTileOffset] * tileWeightK[weightTileOffset];
        valueV += tileInput[inputTileOffset] * tileWeightV[weightTileOffset];
      }

      workgroupBarrier();
    }

    let headOffset = (m * uniforms.N + n) % uniforms.head_size;
    valueQ += bias[headOffset + biasOffsetQ];
    valueK += bias[headOffset + biasOffsetK];
    valueV += bias[headOffset + biasOffsetV];

    let offset = workgroup_id.z * uniforms.M * uniforms.N;
    if (m < uniforms.M && n < uniforms.N) {
      let outputIdx = offset + m * uniforms.N + n;
      output_q[outputIdx] = valueQ;
      output_k[outputIdx] = valueK;
      output_v[outputIdx] = valueV;
    }
  }`};return r.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:u,dataType:r.inputs[0].dataType,gpuDataType:0},{dims:u,dataType:r.inputs[0].dataType,gpuDataType:0},{dims:u,dataType:r.inputs[0].dataType,gpuDataType:0}],dispatchGroup:P,programUniforms:O}),getShaderSource:Y},{inputs:F,outputs:[-1,-1,-1]})},Qe=(r,s)=>{let u=$(r.inputs,s),[f,g,w]=Le(r,u);return Te(r,f,g,w,r.inputs[4],void 0,void 0,void 0,r.inputs[5],u,s)}}),at,Ue,lt,Xe,nt=c(()=>{jt(),Pn(),Mn(),Bn(),Vn(),at=(r,s)=>{if(!r||r.length!==5)throw new Error("BatchNormalization requires 5 inputs");let u=(f,g,w)=>{let m=g.length;if(m!==f.length)throw new Error(`${w}: num dimensions != ${m}`);g.forEach((P,F)=>{if(P!==f[F])throw new Error(`${w}: dim[${F}] do not match`)})};if(r[0].dims.length>1){let f=s.format==="NHWC"?s.spatial?r[0].dims.slice(-1):r[0].dims.slice(-1).concat(r[0].dims.slice(1,r[0].dims.length-1)):r[0].dims.slice(1,s.spatial?2:void 0);u(r[1].dims,f,"Invalid input scale"),u(r[2].dims,f,"Invalid input B"),u(r[3].dims,f,"Invalid input mean"),u(r[4].dims,f,"Invalid input var")}else u(r[1].dims,[1],"Invalid input scale"),u(r[2].dims,[1],"Invalid input B"),u(r[3].dims,[1],"Invalid input mean"),u(r[4].dims,[1],"Invalid input var")},Ue=(r,s)=>{let{epsilon:u,spatial:f,format:g}=s,w=r[0].dims,m=f?nr(w[w.length-1]):1,P=g==="NHWC"&&w.length>1?m:1,F=mt.size(w)/m,O=f,Y=O?w.length:w,Q=Bt("x",r[0].dataType,r[0].dims,m),S=Bt("scale",r[1].dataType,r[1].dims,P),ie=Bt("bias",r[2].dataType,r[2].dims,P),ce=Bt("inputMean",r[3].dataType,r[3].dims,P),pe=Bt("inputVar",r[4].dataType,r[4].dims,P),ke=vn("y",r[0].dataType,Y,m),Pe=()=>{let We="";if(f)We=`let cOffset = ${w.length===1?"0u":g==="NHWC"?`outputIndices[${w.length-1}] / ${m}`:"outputIndices[1]"};`;else if(g==="NCHW")We=`
            ${ke.indicesSet("outputIndices","0","0")}
            let cOffset = ${ke.indicesToOffset("outputIndices")};`;else{We=`var cIndices = ${S.type.indices}(0);
                       cIndices[0] = outputIndices[${w.length-1}];`;for(let ze=1;ze<S.rank;ze++)We+=`cIndices[${ze}] = outputIndices[${ze}];`;We+=`let cOffset = ${S.indicesToOffset("cIndices")};`}return We},be=We=>`
  const epsilon = ${u};
  ${We.registerUniform("outputSize","u32").declareVariables(Q,S,ie,ce,pe,ke)}
  ${We.mainStart()}
  ${We.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
    var outputIndices = ${ke.offsetToIndices(`global_idx * ${m}`)};
    ${Pe()}
    let scale = ${S.getByOffset("cOffset")};
    let bias = ${ie.getByOffset("cOffset")};
    let inputMean = ${ce.getByOffset("cOffset")};
    let inputVar = ${pe.getByOffset("cOffset")};
    let x = ${Q.getByOffset("global_idx")};
    let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;
    ${ke.setByOffset("global_idx","value")}
  }`;return{name:"BatchNormalization",shaderCache:{hint:`${s.epsilon}_${s.format}_${f}_${m}`,inputDependencies:O?["rank","type","type","type","type"]:void 0},getShaderSource:be,getRunData:()=>({outputs:[{dims:r[0].dims,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(F/64)},programUniforms:O?[{type:12,data:F},...sn(w)]:[{type:12,data:F}]})}},lt=r=>bn(r),Xe=(r,s)=>{let{inputs:u,outputCount:f}=r,g=lt({...s,outputCount:f});if(j.webgpu.validateInputContent&&at(u,g),s.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");r.compute(Ue(u,g))}}),ut,tt,yt,wt=c(()=>{Mn(),Vn(),ut=r=>{if(r[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(r[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(r[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(r[0].dims[2]!==r[1].dims[0])throw new Error("last dimension of input and bias are not the same")},tt=r=>{let s=r[0].dims,u=r[0].dims[2],f=mt.size(s)/4,g=r[0].dataType,w=Bt("input",g,s,4),m=Bt("bias",g,[u],4),P=Bt("residual",g,s,4),F=vn("output",g,s,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:s,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(f/64)}}),getShaderSource:O=>`
  const channels = ${u}u / 4;
  ${O.declareVariables(w,m,P,F)}

  ${O.mainStart()}
    ${O.guardAgainstOutOfBoundsWorkgroupSizes(f)}
    let value = ${w.getByOffset("global_idx")}
      + ${m.getByOffset("global_idx % channels")} + ${P.getByOffset("global_idx")};
    ${F.setByOffset("global_idx","value")}
  }`}},yt=r=>{ut(r.inputs),r.compute(tt(r.inputs))}}),bt,vt,Xt,on,Kt,rn,ln,qt,Un,Gn,Qn,Yn,Ui,Hn,ri,ii,Rs,si,gs,Ho,_d,yd,vd,Eu,wd,bd,xd,Cu,Td,Md,Pu,kd,Sd,Au,Ed,$u,Iu,Fu,Ou,Du,Cd,Pd,Ad,$d,Gl,zu=c(()=>{Pn(),Mn(),Bn(),Vn(),bt=(r,s,u,f,g,w)=>{let m=Math.ceil(s/4),P="";typeof g=="string"?P=`${g}(a)`:P=g("a");let F=Bt("inputData",u,[m],4),O=vn("outputData",f,[m],4);return`
      ${r.registerUniform("vec_size","u32").declareVariables(F,O)}

  ${w??""}

  ${r.mainStart()}
    ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}

    let a = ${F.getByOffset("global_idx")};
    ${O.setByOffset("global_idx",P)}
  }`},vt=(r,s,u,f,g,w=r.dataType)=>({name:s,shaderCache:{hint:g,inputDependencies:["type"]},getShaderSource:m=>bt(m,mt.size(r.dims),r.dataType,w,u,f),getRunData:m=>({outputs:[{dims:r.dims,dataType:w}],dispatchGroup:{x:Math.ceil(mt.size(m[0].dims)/64/4)},programUniforms:[{type:12,data:Math.ceil(mt.size(r.dims)/4)}]})}),Xt=r=>{r.compute(vt(r.inputs[0],"Abs","abs"))},on=r=>{r.compute(vt(r.inputs[0],"Acos","acos"))},Kt=r=>{r.compute(vt(r.inputs[0],"Acosh","acosh"))},rn=r=>{r.compute(vt(r.inputs[0],"Asin","asin"))},ln=r=>{r.compute(vt(r.inputs[0],"Asinh","asinh"))},qt=r=>{r.compute(vt(r.inputs[0],"Atan","atan"))},Un=r=>{r.compute(vt(r.inputs[0],"Atanh","atanh"))},Gn=r=>bn(r),Qn=(r,s)=>{let u;switch(s.to){case 10:u="vec4<f16>";break;case 1:u="vec4<f32>";break;case 12:u="vec4<u32>";break;case 6:u="vec4<i32>";break;case 9:u="vec4<bool>";break;default:throw new RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${s.to}`)}r.compute(vt(r.inputs[0],"Cast",u,void 0,s.cacheKey,s.to))},Yn=r=>{let s=r.length>=2&&r[1].data!==0?r[1].getFloat32Array()[0]:Rr,u=r.length>=3&&r[2].data!==0?r[2].getFloat32Array()[0]:di;return bn({min:s,max:u})},Ui=(r,s)=>{let u=r.inputs.length===1?s:Yn(r.inputs),f=ur(r.inputs[0].dataType);r.compute(vt(r.inputs[0],"Clip",g=>`clamp(${g}, clip_min_, clip_max_)`,`
    const clip_min_: vec4<${f}> = vec4(${f}(${u.min}));
    const clip_max_: vec4<${f}> = vec4(${f}(${u.max}));
`,u.cacheKey),{inputs:[0]})},Hn=r=>{r.compute(vt(r.inputs[0],"Ceil","ceil"))},ri=r=>{r.compute(vt(r.inputs[0],"Cos","cos"))},ii=r=>{r.compute(vt(r.inputs[0],"Cosh","cosh"))},Rs=r=>bn(r),si=(r,s)=>{let u=ur(r.inputs[0].dataType);r.compute(vt(r.inputs[0],"Elu",f=>`elu_vf32(${f})`,`
  const elu_alpha_ = ${u}(${s.alpha});

  fn elu_f32(a: ${u}) -> ${u} {
  return select((exp(a) - 1.0) * elu_alpha_, a, a >= 0.0);
  }

  fn elu_vf32(v: vec4<${u}>) -> vec4<${u}> {
  return vec4(elu_f32(v.x), elu_f32(v.y), elu_f32(v.z), elu_f32(v.w));
  }`,s.cacheKey))},gs=(r="f32")=>`
const r0: ${r} = 0.3275911;
const r1: ${r} = 0.254829592;
const r2: ${r} = -0.284496736;
const r3: ${r} = 1.421413741;
const r4: ${r} = -1.453152027;
const r5: ${r} = 1.061405429;

fn erf_vf32(v: vec4<${r}>) -> vec4<${r}> {
  let absv = abs(v);
  let x = 1.0 / (1.0 + r0 * absv);
  return sign(v) * (1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv));
}`,Ho=r=>{let s=ur(r.inputs[0].dataType);r.compute(vt(r.inputs[0],"Erf",u=>`erf_vf32(${u})`,gs(s)))},_d=r=>{r.compute(vt(r.inputs[0],"Exp","exp"))},yd=r=>{r.compute(vt(r.inputs[0],"Floor","floor"))},vd=r=>{let s=ur(r.inputs[0].dataType);r.compute(vt(r.inputs[0],"Gelu",u=>`0.5 * ${u} * (1.0 + erf_vf32(${u} * 0.7071067811865475))`,gs(s)))},Eu=(r,s)=>{let u=ur(r.inputs[0].dataType);r.compute(vt(r.inputs[0],"LeakyRelu",f=>`select(leaky_relu_alpha_ * ${f}, ${f}, ${f} >= vec4<${u}>(0.0))`,`const leaky_relu_alpha_ = ${u}(${s.alpha});`,s.cacheKey))},wd=r=>{r.compute(vt(r.inputs[0],"Not",s=>`!${s}`))},bd=r=>{r.compute(vt(r.inputs[0],"Neg",s=>`-${s}`))},xd=r=>{r.compute(vt(r.inputs[0],"Reciprocal",s=>`1.0/${s}`))},Cu=r=>{let s=ur(r.inputs[0].dataType);r.compute(vt(r.inputs[0],"Relu",u=>`select(vec4<${s}>(0.0), ${u}, ${u} > vec4<${s}>(0.0))`))},Td=r=>{r.compute(vt(r.inputs[0],"Sigmoid",s=>`(1.0 / (1.0 + exp(-${s})))`))},Md=r=>bn(r),Pu=(r,s)=>{let u=ur(r.inputs[0].dataType);r.compute(vt(r.inputs[0],"HardSigmoid",f=>`max(vec4<${u}>(0.0), min(vec4<${u}>(1.0), ${s.alpha} * ${f} + vec4<${u}>(${s.beta})))`,void 0,s.cacheKey))},kd=r=>{r.compute(vt(r.inputs[0],"Sin","sin"))},Sd=r=>{r.compute(vt(r.inputs[0],"Sinh","sinh"))},Au=r=>{r.compute(vt(r.inputs[0],"Sqrt","sqrt"))},Ed=r=>{r.compute(vt(r.inputs[0],"Tan","tan"))},$u=r=>`sign(${r}) * (1 - exp(-2 * abs(${r}))) / (1 + exp(-2 * abs(${r})))`,Iu=r=>{r.compute(vt(r.inputs[0],"Tanh",$u))},Fu=(r="f32")=>`
const fast_gelu_a: ${r} = 0.5;
const fast_gelu_b: ${r} = 0.7978845608028654;
const fast_gelu_c: ${r} = 0.035677408136300125;

fn tanh_v(v: vec4<${r}>) -> vec4<${r}> {
  return ${$u("v")};
}
`,Ou=r=>`(fast_gelu_a + fast_gelu_a * tanh_v(${r} * (fast_gelu_c * ${r} * ${r} + fast_gelu_b))) * ${r}`,Du=r=>{let s=ur(r.inputs[0].dataType);r.compute(vt(r.inputs[0],"FastGelu",Ou,Fu(s),void 0,r.inputs[0].dataType))},Cd=(r,s)=>{let u=ur(r.inputs[0].dataType);return r.compute(vt(r.inputs[0],"ThresholdedRelu",f=>`select(vec4<${u}>(0.0), ${f}, ${f} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${u}>(${s.alpha});`,s.cacheKey)),0},Pd=r=>{r.compute(vt(r.inputs[0],"Log","log"))},Ad=(r,s)=>`
const alpha = vec4<${r}>(${s});
const one = ${r}(1.0);
const zero = ${r}(0.0);

fn quick_gelu_impl(x: vec4<${r}>) -> vec4<${r}> {
  let v = x *alpha;
  var x1 : vec4<${r}>;
  for (var i = 0; i < 4; i = i + 1) {
    if (v[i] >= zero) {
      x1[i] = one / (one + exp(-v[i]));
    } else {
      x1[i] = one - one / (one + exp(v[i]));
    }
  }
  return x * x1;
}
`,$d=r=>`quick_gelu_impl(${r})`,Gl=(r,s)=>{let u=ur(r.inputs[0].dataType);r.compute(vt(r.inputs[0],"QuickGelu",$d,Ad(u,s.alpha),s.cacheKey,r.inputs[0].dataType))}}),Id,Fd,Ru,kp=c(()=>{Mn(),Vn(),zu(),Id=r=>{if(r[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(r[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(r[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(r[0].dims[2]!==r[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Fd=r=>{let s=r[0].dims.slice();s[2]=s[2]/2;let u=Bt("input",r[0].dataType,r[0].dims,4),f=Bt("bias",r[0].dataType,[r[0].dims[2]],4),g=vn("output",r[0].dataType,s,4),w=mt.size(s)/4,m=lr(r[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:s,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(w/64)}}),getShaderSource:P=>`
  const M_SQRT2 = sqrt(2.0);
  const halfChannels = ${r[0].dims[2]/4/2}u;

  ${P.declareVariables(u,f,g)}

  ${gs(m)}

  ${P.mainStart()}
    ${P.guardAgainstOutOfBoundsWorkgroupSizes(w)}
    let biasIdx = global_idx % halfChannels;
    let batchIndex = global_idx / halfChannels;
    let inputOffset = biasIdx + batchIndex * halfChannels * 2;
    let valueLeft = input[inputOffset] + bias[biasIdx];
    let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels];
    let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1);

    ${g.setByOffset("global_idx","valueLeft * geluRight")}
  }`}},Ru=r=>{Id(r.inputs),r.compute(Fd(r.inputs))}}),Od,Dd,Es,Lu,zd,Rd,Bu,Ld,Bd,Nu,Nd,jd,ju,Sp=c(()=>{Pn(),Mn(),Vn(),Od=(r,s,u,f,g,w,m,P,F,O,Y,Q)=>{let S,ie;typeof P=="string"?S=ie=(be,We)=>`${P}((${be}),(${We}))`:typeof P=="function"?S=ie=P:(S=P.scalar,ie=P.vector);let ce=vn("outputData",Y,f.length,4),pe=Bt("aData",F,s.length,4),ke=Bt("bData",O,u.length,4),Pe;if(g)if(w){let be=mt.size(s)===1,We=mt.size(u)===1,ze=s.length>0&&s[s.length-1]%4===0,Ge=u.length>0&&u[u.length-1]%4===0;be||We?Pe=ce.setByOffset("global_idx",ie(be?`${pe.type.value}(${pe.getByOffset("0")}.x)`:pe.getByOffset("global_idx"),We?`${ke.type.value}(${ke.getByOffset("0")}.x)`:ke.getByOffset("global_idx"))):Pe=`
            let outputIndices = ${ce.offsetToIndices("global_idx * 4u")};
            let offsetA = ${pe.broadcastedIndicesToOffset("outputIndices",ce)};
            let offsetB = ${ke.broadcastedIndicesToOffset("outputIndices",ce)};
            ${ce.setByOffset("global_idx",ie(m||ze?pe.getByOffset("offsetA / 4u"):`${pe.type.value}(${pe.getByOffset("offsetA / 4u")}[offsetA % 4u])`,m||Ge?ke.getByOffset("offsetB / 4u"):`${ke.type.value}(${ke.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}
          `}else Pe=ce.setByOffset("global_idx",ie(pe.getByOffset("global_idx"),ke.getByOffset("global_idx")));else{if(!w)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let be=(We,ze,Ge="")=>{let zt=`aData[indexA${ze}][componentA${ze}]`,It=`bData[indexB${ze}][componentB${ze}]`;return`
            let outputIndices${ze} = ${ce.offsetToIndices(`global_idx * 4u + ${ze}u`)};
            let offsetA${ze} = ${pe.broadcastedIndicesToOffset(`outputIndices${ze}`,ce)};
            let offsetB${ze} = ${ke.broadcastedIndicesToOffset(`outputIndices${ze}`,ce)};
            let indexA${ze} = offsetA${ze} / 4u;
            let indexB${ze} = offsetB${ze} / 4u;
            let componentA${ze} = offsetA${ze} % 4u;
            let componentB${ze} = offsetB${ze} % 4u;
            ${We}[${ze}] = ${Ge}(${S(zt,It)});
          `};Y===9?Pe=`
            var data = vec4<u32>(0);
            ${be("data",0,"u32")}
            ${be("data",1,"u32")}
            ${be("data",2,"u32")}
            ${be("data",3,"u32")}
            outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:Pe=`
            ${be("outputData[global_idx]",0)}
            ${be("outputData[global_idx]",1)}
            ${be("outputData[global_idx]",2)}
            ${be("outputData[global_idx]",3)}
          `}return`
        ${r.registerUniform("vec_size","u32").declareVariables(pe,ke,ce)}

        ${Q??""}

        ${r.mainStart()}
        ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${Pe}
      }`},Dd=(r,s,u,f,g,w,m=u.dataType)=>{let P=!mt.areEqual(u.dims,f.dims),F=u.dims,O=mt.size(u.dims),Y=!1,Q=!1,S=[P];if(P){let ie=Qr.calcShape(u.dims,f.dims,!1);if(!ie)throw new Error("Can't perform binary op on the given tensors");F=ie,O=mt.size(F);let ce=mt.size(u.dims)===1,pe=mt.size(f.dims)===1,ke=u.dims.length>0&&u.dims[u.dims.length-1]%4===0,Pe=f.dims.length>0&&f.dims[f.dims.length-1]%4===0;S.push(ce),S.push(pe),S.push(ke),S.push(Pe);let be=1;for(let We=1;We<F.length;We++){let ze=u.dims[u.dims.length-We]??1,Ge=f.dims[f.dims.length-We]??1;if(ze===Ge)be*=ze;else break}be%4===0?(Q=!0,Y=!0):(ce||pe||ke||Pe)&&(Y=!0)}else Y=!0;return S.push(Y),{name:r,shaderCache:{hint:s+S.map(ie=>ie.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:ie=>Od(ie,u.dims,f.dims,F,Y,P,Q,g,u.dataType,f.dataType,m,w),getRunData:()=>({outputs:[{dims:F,dataType:m}],dispatchGroup:{x:Math.ceil(O/64/4)},programUniforms:[{type:12,data:Math.ceil(mt.size(F)/4)},...sn(u.dims,f.dims,F)]})}},Es=(r,s,u,f,g,w)=>{r.compute(Dd(s,g??"",r.inputs[0],r.inputs[1],u,f,w))},Lu=r=>{Es(r,"Add",(s,u)=>`${s}+${u}`)},zd=r=>{Es(r,"Div",(s,u)=>`${s}/${u}`)},Rd=r=>{Es(r,"Equal",{scalar:(s,u)=>`u32(${s}==${u})`,vector:(s,u)=>`vec4<u32>(${s}==${u})`},void 0,void 0,9)},Bu=r=>{Es(r,"Mul",(s,u)=>`${s}*${u}`)},Ld=r=>{let s=Bt("input",r.inputs[0].dataType,r.inputs[0].dims).type.value;Es(r,"Pow",{scalar:(u,f)=>`pow_custom(${u},${f})`,vector:(u,f)=>`pow_vector_custom(${u},${f})`},`
    fn pow_custom(a : ${s}, b : ${s}) -> ${s} {
      if (b == ${s}(0.0)) {
        return ${s}(1.0);
      } else if (a < ${s}(0.0) && f32(b) != floor(f32(b))) {
        return ${s}(pow(f32(a), f32(b))); // NaN
      }
      return select(sign(a), ${s}(1.0), round(f32(abs(b) % ${s}(2.0))) != 1.0) * ${s}(${s==="i32"?"round":""}(pow(f32(abs(a)), f32(b))));
    }
    fn pow_vector_custom(a : vec4<${s}>, b : vec4<${s}>) -> vec4<${s}> {
      // TODO: implement vectorized pow
      return vec4<${s}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));
    }
      `)},Bd=r=>{Es(r,"Sub",(s,u)=>`${s}-${u}`)},Nu=r=>{Es(r,"Greater",{scalar:(s,u)=>`u32(${s}>${u})`,vector:(s,u)=>`vec4<u32>(${s}>${u})`},void 0,void 0,9)},Nd=r=>{Es(r,"Less",{scalar:(s,u)=>`u32(${s}<${u})`,vector:(s,u)=>`vec4<u32>(${s}<${u})`},void 0,void 0,9)},jd=r=>{Es(r,"GreaterOrEqual",{scalar:(s,u)=>`u32(${s}>=${u})`,vector:(s,u)=>`vec4<u32>(${s}>=${u})`},void 0,void 0,9)},ju=r=>{Es(r,"LessOrEqual",{scalar:(s,u)=>`u32(${s}<=${u})`,vector:(s,u)=>`vec4<u32>(${s}<=${u})`},void 0,void 0,9)}}),Vd,Ud,Wd,Gd,qd,Vu,Ep=c(()=>{Pn(),Mn(),Bn(),Vn(),Vd=(r,s)=>{if(!r||r.length<1)throw new Error("too few inputs");let u=0,f=r[u],g=f.dataType,w=f.dims.length;r.forEach((m,P)=>{if(P!==u){if(m.dataType!==g)throw new Error("input tensors should be one type");if(m.dims.length!==w)throw new Error("input tensors should have the same shape");m.dims.forEach((F,O)=>{if(O!==s&&F!==f.dims[O])throw new Error("non concat dimensions must match")})}})},Ud=(r,s)=>`
  fn calculateInputIndex(index: u32) -> u32 {
    let sizeInConcatAxis = array<u32, ${r}u>(${s});
    for (var i: u32 = 0u; i < ${r}; i += 1u ) {
      if (index < sizeInConcatAxis[i]) {
        return i;
      }
    }
    return ${r}u;
  }`,Wd=(r,s)=>{let u=r.length,f=[];for(let g=0;g<u;++g){let w=s.setByOffset("global_idx",r[g].getByIndices("indices"));u===1?f.push(w):g===0?f.push(`if (inputIndex == ${g}u) { ${w} }`):g===u-1?f.push(`else { ${w} }`):f.push(`else if (inputIndex == ${g}) { ${w} }`)}return f.join(`
`)},Gd=(r,s,u,f)=>{let g=mt.size(u),w=new Array(r.length),m=new Array(r.length),P=0,F=[],O=[],Y=[{type:12,data:g}];for(let pe=0;pe<r.length;++pe)P+=r[pe].dims[s],w[pe]=P,O.push(r[pe].dims.length),m[pe]=Bt(`input${pe}`,f,O[pe]),F.push("rank"),Y.push({type:12,data:w[pe]});for(let pe=0;pe<r.length;++pe)Y.push(...sn(r[pe].dims));Y.push(...sn(u));let Q=vn("output",f,u.length),S=Q.indicesGet("indices",s),ie=Array.from(Array(w.length).keys()).map(pe=>`uniforms.sizeInConcatAxis${pe}`).join(","),ce=pe=>`

  ${(()=>{pe.registerUniform("outputSize","u32");for(let ke=0;ke<r.length;ke++)pe.registerUniform(`sizeInConcatAxis${ke}`,"u32");return pe.declareVariables(...m,Q)})()}

  ${Ud(w.length,ie)}

  ${pe.mainStart()}
    ${pe.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

    var indices = ${Q.offsetToIndices("global_idx")};

    let inputIndex = calculateInputIndex(${S});
    if (inputIndex != 0u) {
      let sizeInConcatAxis = array<u32, ${w.length}u>(${ie});
      ${S} -= sizeInConcatAxis[inputIndex - 1u];
    }

    ${Wd(m,Q)}
  }`;return{name:"Concat",shaderCache:{hint:`${s}`,inputDependencies:F},getRunData:()=>({outputs:[{dims:u,dataType:f}],dispatchGroup:{x:Math.ceil(g/64)},programUniforms:Y}),getShaderSource:ce}},qd=(r,s)=>{let u=r.inputs,f=u[0].dims,g=mt.normalizeAxis(s.axis,f.length);Vd(u,g);let w=f.slice();w[g]=u.reduce((P,F)=>P+(F.dims.length>g?F.dims[g]:0),0);let m=u.filter(P=>mt.size(P.dims)>0);r.compute(Gd(m,g,w,u[0].dataType),{inputs:m})},Vu=r=>bn({axis:r.axis})}),xo,Js,To,Uu,Wi=c(()=>{Pn(),Mn(),xo=(r,s,u="f32")=>{switch(r.activation){case"Relu":return`value = max(value, ${s}(0.0));`;case"Sigmoid":return`value = (${s}(1.0) / (${s}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${s}(${u}(uniforms.clip_min)), ${s}(${u}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${s}(0.0), min(${s}(1.0), ${u}(uniforms.alpha) * value + ${u}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${u}(uniforms.alpha) * value, value, value >= ${s}(0.0));`;case"Tanh":return`let e2x = exp(-2.0 * abs(value));
              value = sign(value) * (1.0 - e2x) / (1.0 + e2x);
        `;case"":return"";default:throw new Error(`Unsupported activation ${r.activation}`)}},Js=(r,s)=>{r.activation==="Clip"?s.push({type:1,data:r.clipMax},{type:1,data:r.clipMin}):r.activation==="HardSigmoid"?s.push({type:1,data:r.alpha},{type:1,data:r.beta}):r.activation==="LeakyRelu"&&s.push({type:1,data:r.alpha})},To=(r,s)=>{r.activation==="Clip"?s.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):r.activation==="HardSigmoid"?s.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):r.activation==="LeakyRelu"&&s.push({name:"alpha",type:"f32"})},Uu=r=>{let s=(r==null?void 0:r.activation)||"";if(s==="HardSigmoid"){let[u,f]=(r==null?void 0:r.activation_params)||[.2,.5];return{activation:s,alpha:u,beta:f}}else if(s==="Clip"){let[u,f]=(r==null?void 0:r.activation_params)||[Rr,di];return{activation:s,clipMax:f,clipMin:u}}else if(s==="LeakyRelu"){let[u]=(r==null?void 0:r.activation_params)||[.01];return{activation:s,alpha:u}}return{activation:s}}}),Ti,Wu,ql=c(()=>{Ti=(r,s)=>{switch(r){case 1:return s;case 2:return`vec2<${s}>`;case 3:return`vec3<${s}>`;case 4:return`vec4<${s}>`;default:throw new Error(`${r}-component is not supported.`)}},Wu=r=>`
      ${r?"value = value + getBiasByOutputCoords(coords);":""}
      `}),Gu,qu=c(()=>{Gu=r=>`
fn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
      shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));
}
fn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
    i32(${r}.x), i32(${r}.y), i32(${r}.z), 1));
}
`}),Hd,Kd,Hl,Hu,Kl,Xl,Xd,Ku,Ko=c(()=>{Pn(),Mn(),Vn(),Wi(),ql(),Hd=(r,s)=>r?`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          kStart + inputRow,
          globalRowStart / innerElementSize + inputCol${s?", batchIndices":""});
        `:`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          globalRow + innerRow,
          kStart / innerElementSize + inputCol${s?", batchIndices":""});
        `,Kd=(r,s)=>r?`
        let ACached0 = mm_Asub[k * innerElementSize][localRow];
        let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];
        let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];
        ${s===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"}
        for (var i = 0; i < rowPerThread; i = i + 1) {
          acc[i] = BCached0 * ACached0[i] + acc[i];
          acc[i] = BCached1 * ACached1[i] + acc[i];
          acc[i] = BCached2 * ACached2[i] + acc[i];
          ${s===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"}
        }`:`
        for (var i = 0; i < rowPerThread; i = i + 1) {
          let ACached = mm_Asub[tileRow + i][k];
          acc[i] = BCached0 * ACached.x + acc[i];
          acc[i] = BCached1 * ACached.y + acc[i];
          acc[i] = BCached2 * ACached.z + acc[i];
          ${s===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"}
        }`,Hl=(r,s,u="f32",f,g=!1,w=32,m=!1,P=32)=>{let F=s[1]*r[1],O=s[0]*r[0],Y=g?F:w,Q=g?w:F,S=Y/s[0],ie=w/s[1];if(!((g&&S===4&&r[1]===4||!g&&(S===3||S===4))&&Y%s[0]===0&&w%s[1]===0&&r[0]===4))throw new Error(`If transposeA ${g} is true, innerElementSize ${S} and workPerThread[1] ${r[1]} must be 4.
      Otherwise, innerElementSize ${S} must be 3 or 4.
  tileAWidth ${Y} must be divisible by workgroupSize[0]${s[0]}. tileInner ${w} must be divisible by workgroupSize[1] ${s[1]}. colPerThread ${r[0]} must be 4.`);return`
var<workgroup> mm_Asub: array<array<vec${S}<${u}>, ${Y/S}>, ${Q}>;
var<workgroup> mm_Bsub: array<array<vec4<${u}>, ${O/r[0]}>, ${w}>;

const rowPerThread = ${r[1]};
const colPerThread = ${r[0]};
const innerElementSize = ${S};
const tileInner = ${w};

@compute @workgroup_size(${s[0]}, ${s[1]}, ${s[2]})
fn main(@builtin(local_invocation_id) localId : vec3<u32>,
        @builtin(global_invocation_id) globalId : vec3<u32>,
        @builtin(workgroup_id) workgroupId : vec3<u32>) {
  let localRow = i32(localId.y);
  let tileRow = localRow * rowPerThread;
  let tileCol = i32(localId.x);

  let globalRow =i32(globalId.y) * rowPerThread;
  let globalCol = i32(globalId.x);
  let batch = ${m?"0":"i32(globalId.z)"};
  ${f?`let batchIndices = ${f.offsetToIndices("u32(batch)")};`:""}
  let globalRowStart = i32(workgroupId.y) * ${F};

  let num_tiles = ${m?`${Math.ceil(P/w)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
  var kStart = ${m?`i32(globalId.z) * ${P}`:"0"};

  var acc: array<vec4<${u}>, rowPerThread>;

  // Loop over shared dimension.
  let tileRowB = localRow * ${ie};
  for (var t = 0; t < num_tiles; t = t + 1) {
      // Load one tile of A into local memory.
      for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
          let inputRow = tileRow + innerRow;
          let inputCol = tileCol;
          ${Hd(g,f)}
      }

      // Load one tile of B into local memory.
      for (var innerRow = 0; innerRow < ${ie}; innerRow = innerRow + 1) {
          let inputRow = tileRowB + innerRow;
          let inputCol = tileCol;
          mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${f?", batchIndices":""});
      }
      kStart = kStart + tileInner;
      workgroupBarrier();

      // Compute acc values for a single thread.
      for (var k = 0; k < tileInner / innerElementSize; k = k + 1) {
          let BCached0 = mm_Bsub[k * innerElementSize][tileCol];
          let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol];
          let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol];
          ${S===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"}

          ${Kd(g,S)}
      }

      workgroupBarrier();
  }

  for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);
  }
}`},Hu=(r,s)=>r?`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              kStart + inputRow,
              globalRowStart + inputCol${s?", batchIndices":""});
            `:`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              globalRowStart + inputRow,
              kStart + inputCol${s?", batchIndices":""});
            `,Kl=r=>r?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",Xl=(r,s,u="f32",f,g=!1,w=32,m=!1,P=32,F=!1)=>{let O=r[1]*s[1],Y=r[0]*s[0],Q=g?O:w,S=g?w:O;if(!(S%s[1]===0&&Q%s[0]===0&&w%s[1]===0))throw new Error(`tileAHight ${S} must be divisible by workgroupSize[1]${s[1]}, tileAWidth ${Q} must be divisible by workgroupSize[0]${s[0]}, tileInner ${w} must be divisible by workgroupSize[1]${s[1]}`);let ie=S/s[1],ce=Q/s[0],pe=w/s[1],ke=F?`
    let localRow = i32(localId.y);
    let localCol = i32(localId.x);
    let globalRowStart = i32(workgroupId.y) * ${O};
    let globalColStart = i32(workgroupId.x) * ${Y};

    // Loop over shared dimension.
    for (var t = 0; t < num_tiles; t = t + 1) {
      // Load one tile of A into local memory.
      for (var inputRow = localRow; inputRow < ${S}; inputRow = inputRow + ${s[1]}) {
        for (var inputCol = localCol; inputCol < ${Q}; inputCol = inputCol + ${s[0]}) {
          ${Hu(g,f)}
        }
      }
      // Load one tile of B into local memory.
      for (var inputRow = localRow; inputRow < ${w}; inputRow = inputRow + ${s[1]}) {
            for (var inputCol = localCol; inputCol < ${Y}; inputCol = inputCol + ${s[0]}) {
          mm_Bsub[inputRow][inputCol] = mm_readB(batch,
            kStart + inputRow,
            globalColStart + inputCol${f?", batchIndices":""});
        }
      }
      kStart = kStart + tileInner;
      workgroupBarrier();

      // Compute acc values for a single thread.
      var BCached : array<${u}, colPerThread>;
      for (var k = 0; k < tileInner; k = k + 1) {
        for (var inner = 0; inner < colPerThread; inner = inner + 1) {
          BCached[inner] = mm_Bsub[k][localCol + inner * ${s[0]}];
        }
        for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
          let ACached = ${g?`mm_Asub[k][localRow + innerRow * ${s[1]}];`:`mm_Asub[localRow + innerRow * ${s[1]}][k];`}
          for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
            acc[innerRow][innerCol] = acc[innerRow][innerCol] +
                ACached * BCached[innerCol];
          }
        }
      }
      workgroupBarrier();
    }
    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      let gRow = globalRowStart + localRow + innerRow * ${s[1]};
      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
        let gCol = globalColStart + localCol + innerCol * ${s[0]};
        mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);
      }
    }
    `:`
let tileRow = i32(localId.y) * rowPerThread;
let tileCol = i32(localId.x) * colPerThread;

let globalRow = i32(globalId.y) * rowPerThread;
let globalCol = i32(globalId.x) * colPerThread;
let globalRowStart = i32(workgroupId.y) * ${O};

let tileRowA = i32(localId.y) * ${ie};
let tileColA = i32(localId.x) * ${ce};
let tileRowB = i32(localId.y) * ${pe};
// Loop over shared dimension.
for (var t = 0; t < num_tiles; t = t + 1) {
  // Load one tile of A into local memory.
  for (var innerRow = 0; innerRow < ${ie}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < ${ce}; innerCol = innerCol + 1) {
      let inputRow = tileRowA + innerRow;
      let inputCol = tileColA + innerCol;
      ${Hu(g,f)}
    }
  }

  // Load one tile of B into local memory.
  for (var innerRow = 0; innerRow < ${pe}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
      let inputRow = tileRowB + innerRow;
      let inputCol = tileCol + innerCol;
      mm_Bsub[inputRow][inputCol] = mm_readB(batch,
        kStart + inputRow,
        globalCol + innerCol${f?", batchIndices":""});
    }
  }
  kStart = kStart + tileInner;
  workgroupBarrier();

  // Compute acc values for a single thread.
  var BCached : array<${u}, colPerThread>;
  for (var k = 0; k < tileInner; k = k + 1) {
    for (var inner = 0; inner < colPerThread; inner = inner + 1) {
      BCached[inner] = mm_Bsub[k][tileCol + inner];
    }

    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      ${Kl(g)}
      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
        acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol];
      }
    }
  }

  workgroupBarrier();
}

for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
  for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
    mm_write(batch, globalRow + innerRow, globalCol + innerCol,
        acc[innerRow][innerCol]);
  }
}
`;return`
  var<workgroup> mm_Asub : array<array<${u}, ${Q}>, ${S}>;
  var<workgroup> mm_Bsub : array<array<${u}, ${Y}>, ${w}>;
  const rowPerThread = ${r[1]};
  const colPerThread = ${r[0]};
  const tileInner = ${w};

@compute @workgroup_size(${s[0]}, ${s[1]}, ${s[2]})
fn main(@builtin(local_invocation_id) localId : vec3<u32>,
        @builtin(global_invocation_id) globalId : vec3<u32>,
        @builtin(workgroup_id) workgroupId : vec3<u32>) {
    let batch = ${m?"0":"i32(globalId.z)"};
    ${f?`let batchIndices = ${f.offsetToIndices("u32(batch)")};`:""}
    let num_tiles = ${m?`${Math.ceil(P/w)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
    var kStart = ${m?`i32(globalId.z) * ${P}`:"0"};

    var acc : array<array<${u}, colPerThread>, rowPerThread>;
    ${ke}
  }
`},Xd=(r,s,u,f,g,w=!1)=>{let[m,P,F]=g,[O,Y,Q,S]=f,ie=go(m,F),ce=go(P,F),pe=lr(f[0].type.tensor),ke=()=>{let be=Y.rank,We=O.rank,ze=`var aIndices: ${Y.type.indices};`;for(let Ge=be-2-1,zt=We-1;Ge>=0;Ge--,zt--)ze+=`
aIndices[${Ge}] = ${We>1?`batchIndices[${zt}]`:"batchIndices"};`;return ie.forEach(Ge=>{ze+=`
aIndices[${Ge}] = 0;`}),ze+=`
aIndices[${be-2}] = u32(row);
                   aIndices[${be-1}] = u32(colIn);`,ze},Pe=()=>{let be=Q.rank,We=O.rank,ze=`var bIndices: ${Q.type.indices};`;for(let Ge=be-2-1,zt=We-1;Ge>=0;Ge--,zt--)ze+=`
bIndices[${Ge}] = ${We>1?`batchIndices[${zt}]`:"batchIndices"};`;return ce.forEach(Ge=>{ze+=`
bIndices[${Ge}] = 0;`}),ze+=`
bIndices[${be-2}] = u32(row);
                   bIndices[${be-1}] = u32(colIn);`,ze};return`
    fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${O.type.indices}) -> ${Ti(r,pe)} {
      var value = ${Ti(r,pe)}(0.0);
      let col = colIn * ${r};
      if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)
      {
        ${ke()}
        value = ${Y.getByIndices("aIndices")};
      }
      return value;
    }

    fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${O.type.indices}) -> ${Ti(r,pe)} {
      var value = ${Ti(r,pe)}(0.0);
      let col = colIn * ${r};
      if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)
      {
        ${Pe()}
        value = ${Q.getByIndices("bIndices")};
      }
      return value;
    }

    fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${Ti(r,pe)}) {
      let col = colIn * ${r};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {
        var value = valueIn;
        let coords = vec3<i32>(batch, row, colIn);
        ${s?`value = value + ${w?"bias[colIn]":`${Ti(r,pe)}(bias[row])`};`:""}
        ${u}
        ${S.setByIndices("vec3<u32>(coords)","value")}
      }
    }
    `},Ku=(r,s,u,f,g=!1,w)=>{let m=r[0].dims,P=r[1].dims,F=m.slice(0,-2),O=P.slice(0,-2),Y=f?f.slice(0,-2):u.slice(0,-2),Q=mt.size(Y),S=m[m.length-2],ie=m[m.length-1],ce=P[P.length-1],pe=ie%4===0&&ce%4===0,ke=S<=8?[4,1,1]:[4,4,1],Pe=[8,8,1],be=[Math.ceil(ce/Pe[0]/ke[0]),Math.ceil(S/Pe[1]/ke[1]),Math.ceil(Q/Pe[2]/ke[2])],We=pe?4:1,ze=[...F,S,ie/We],Ge=ze.length,zt=[...O,ie,ce/We],It=zt.length,Ht=[Q,S,ce/We],pn=[{type:6,data:S},{type:6,data:ce},{type:6,data:ie}];Js(s,pn),pn.push(...sn(Y,ze,zt));let wn=["rank","rank"],Xn=r.length>2;Xn&&(pn.push(...sn(r[2].dims)),wn.push("rank")),pn.push(...sn(Ht));let ar=Dn=>{let Cr=Y.length,Vr=mo("batchDims",r[0].dataType,Cr,1),fr=lr(r[0].dataType),Or=Bt("a",r[0].dataType,Ge,We),Fn=Bt("b",r[1].dataType,It,We),sr=vn("result",r[0].dataType,Ht.length,We),vr=[Or,Fn];if(Xn){let ai=g?We:1;vr.push(Bt("bias",r[2].dataType,r[2].dims.length,ai))}let Ft=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];To(s,Ft);let an=lr(sr.type.tensor),Nn=xo(s,sr.type.value,an),Pr=Xd(We,Xn,Nn,[Vr,Or,Fn,sr],[F,O,Y],g);return`
  ${Dn.registerUniforms(Ft).registerInternalVariables(Vr).declareVariables(...vr,sr)}
  ${Pr}
  ${pe?Hl(ke,Pe,fr,Vr):Xl(ke,Pe,fr,Vr)}
                   `};return{name:"MatMul",shaderCache:{hint:`${ke};${s.activation};${pe};${g}`,inputDependencies:wn},getRunData:()=>({outputs:[{dims:w?w(u):u,dataType:r[0].dataType}],dispatchGroup:{x:be[0],y:be[1],z:be[2]},programUniforms:pn}),getShaderSource:ar}}}),Qd,Yd,Cp=c(()=>{Pn(),_i(),Vn(),Wi(),ql(),qu(),Ko(),Qd=(r,s,u,f,g=!1,w,m=4,P=4,F=4,O="f32")=>{let Y=pn=>{switch(pn){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${O}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${pn} is not supported.`)}},Q=pn=>{switch(pn){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw new Error(`innerElementSize ${pn} is not supported.`)}},S=r?`
    let coord = vec4<i32>(batch, xRow, xCol, xCh);
    `:`
    let coord = vec4<i32>(batch, xCh, xRow, xCol);
    `,ie=r?`
    let coords = vec4<i32>(
      batch,
      row / outWidth,
      row % outWidth,
      col);
    `:`
    let coords = vec4<i32>(
      batch,
      row,
      col / outWidth,
      col % outWidth);
    `,ce=r?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",pe=r?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",ke=r?"row":"col",Pe=r?"col":"row",be=`
    let inChannels = i32(uniforms.w_shape[2]);
    let outWidth = ${r?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
    let outRow = ${ke} / outWidth;
    let outCol = ${ke} % outWidth;

    let WRow = ${Pe} / (i32(uniforms.w_shape[1]) * inChannels);
    let WCol = ${Pe} / inChannels % i32(uniforms.w_shape[1]);
    let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0];
    let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1];
    let xCh = ${Pe} % inChannels;
    var resData = ${Ti(m,O)}(0.0);
    // The bounds checking is always needed since we use it to pad zero for
    // the 'same' padding type.
    if (xRow >= 0 && xRow < ${ce} && xCol >= 0 && xCol < ${pe}) {
      ${S}
      let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));
      ${Y(m)}
    }
    return resData;`,We=r?s&&f?`
    let col = colIn * ${m};
    ${be}`:`
    let col = colIn * ${m};
    if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
      ${be}
    }
    return ${Ti(m,O)}(0.0);`:f&&u?`
    let col = colIn * ${m};
    ${be}`:`
    let col = colIn * ${m};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${be}
    }
    return ${Ti(m,O)}(0.0);`,ze=`${Q(P)}`,Ge=Ti(F,O),zt=Ti(r?m:P,O),It=Ti(r?P:m,O),Ht=xo(w,Ge,O);return`
    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${zt} {
      ${r?We:ze}
    }

    fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${It} {
      ${r?ze:We}
    }

    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${Ge}) {
      let col = colIn * ${F};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)
      {
      var value = valueIn;
      let outWidth = ${r?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
      ${ie}
      ${Wu(g)}
      ${Ht}
      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);
      }
    }`},Yd=(r,s,u,f,g,w,m,P,F)=>{let O=s.format==="NHWC",Y=O?r[0].dims[3]:r[0].dims[1],Q=u[0],S=O?u[2]:u[3],ie=O?u[1]:u[2],ce=O?u[3]:u[1],pe=O&&(Y%4===0||Y%3===0)&&ce%4===0,ke=O?ce:S*ie,Pe=O?S*ie:ce,be=[8,8,1],We=f<=8?[4,1,1]:[4,4,1],ze=[Math.ceil(ke/be[0]/We[0]),Math.ceil(Pe/be[1]/We[1]),Math.ceil(Q/be[2]/We[2])];kr("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${ze}`);let Ge=pe?O&&Y%4!==0?3:4:1,zt=be[1]*We[1],It=be[0]*We[0],Ht=Math.max(be[0]*Ge,be[1]),pn=f%zt===0,wn=g%It===0,Xn=w%Ht===0,ar=pe?[Ge,4,4]:[1,1,1],Dn=[{type:6,data:f},{type:6,data:g},{type:6,data:w},{type:6,data:[s.pads[0],s.pads[1]]},{type:6,data:s.strides},{type:6,data:s.dilations}];Js(s,Dn),Dn.push(...sn(r[0].dims,r[1].dims));let Cr=["rank","rank"];m&&(Dn.push(...sn(r[2].dims)),Cr.push("rank")),Dn.push(...sn(u));let Vr=fr=>{let Or=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];To(s,Or);let Fn=pe?4:1,sr=lr(r[0].dataType),vr=`
      fn setOutputAtIndex(flatIndex : i32, value : ${pe?`vec4<${sr}>`:sr}) {
        result[flatIndex] = ${pe?`vec4<${sr}>`:sr}(value);
      }
      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${pe?`vec4<${sr}>`:sr}) {
        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));
        setOutputAtIndex(flatIndex ${pe?"/ 4":""}, value);
      }`,Ft=Bt("x",r[0].dataType,r[0].dims.length,Ge===3?1:Ge),an=Bt("w",r[1].dataType,r[1].dims.length,Fn),Nn=[Ft,an],Pr=vn("result",r[0].dataType,u.length,Fn);if(m){let ai=Bt("bias",r[2].dataType,r[2].dims.length,Fn);Nn.push(ai),vr+=`
        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${pe?`vec4<${sr}>`:sr} {
          return bias[coords.${O?"w":"y"}${pe?"/ 4":""}];
        }`}return`
        ${Gu("uniforms.result_strides")}
        //struct Uniforms { xShape : vec4<i32>, wShape : vec4<i32>, outShape : vec4<i32>,
        //  outShapeStrides: vec3<i32>, filterDims : vec2<i32>, pad : vec2<i32>, stride : vec2<i32>,
        //  dilation : vec2<i32>, dimAOuter : i32, dimBOuter : i32, dimInner : i32 };
        ${fr.registerUniforms(Or).declareVariables(...Nn,Pr)}
        ${vr}
        ${Qd(O,pn,wn,Xn,m,s,ar[0],ar[1],ar[2],sr)}
        ${pe?Hl(We,be,sr,void 0,!O,Ht):Xl(We,be,sr,void 0,!O,Ht,!1,void 0,P)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${s.cacheKey};${Ge};${pe};${pn};${wn};${Xn};${zt};${It};${Ht}`,inputDependencies:Cr},getRunData:()=>({outputs:[{dims:F?F(u):u,dataType:r[0].dataType}],dispatchGroup:{x:ze[0],y:ze[1],z:ze[2]},programUniforms:Dn}),getShaderSource:Vr}}}),Zd,rl,il,Jd,Xu,Pp,ef,tf,Ap=c(()=>{Pn(),_i(),Mn(),Vn(),Wi(),ql(),Zd=r=>{let s=1;for(let u=0;u<r.length;u++)s*=r[u];return s},rl=r=>typeof r=="number"?[r,r,r]:r,il=(r,s)=>s<=1?r:r+(r-1)*(s-1),Jd=(r,s,u,f=1)=>{let g=il(s,f);return Math.floor((r[0]*(u-1)-u+g)/2)},Xu=(r,s,u,f,g)=>{g==null&&(g=Jd(r,s[0],f[0]));let w=[0,0,0,u];for(let m=0;m<3;m++)r[m]+2*g>=s[m]&&(w[m]=Math.trunc((r[m]-s[m]+2*g)/f[m]+1));return w},Pp=(r,s,u,f,g,w,m,P,F,O)=>{let Y,Q,S,ie;if(r==="VALID"&&(r=0),typeof r=="number"){Y={top:r,bottom:r,left:r,right:r,front:r,back:r};let ce=Xu([s,u,f,1],[P,F,O],1,[g,w,m],r);Q=ce[0],S=ce[1],ie=ce[2]}else if(Array.isArray(r)){if(!r.every((pe,ke,Pe)=>pe===Pe[0]))throw Error(`Unsupported padding parameter: ${r}`);Y={top:r[0],bottom:r[1],left:r[2],right:r[3],front:r[4],back:r[5]};let ce=Xu([s,u,f,1],[P,F,O],1,[g,w,m],r[0]);Q=ce[0],S=ce[1],ie=ce[2]}else if(r==="SAME_UPPER"){Q=Math.ceil(s/g),S=Math.ceil(u/w),ie=Math.ceil(f/m);let ce=(Q-1)*g+P-s,pe=(S-1)*w+F-u,ke=(ie-1)*m+O-f,Pe=Math.floor(ce/2),be=ce-Pe,We=Math.floor(pe/2),ze=pe-We,Ge=Math.floor(ke/2),zt=ke-Ge;Y={top:We,bottom:ze,left:Ge,right:zt,front:Pe,back:be}}else throw Error(`Unknown padding parameter: ${r}`);return{padInfo:Y,outDepth:Q,outHeight:S,outWidth:ie}},ef=(r,s,u,f,g,w=!1,m="channelsLast")=>{let P,F,O,Y,Q;if(m==="channelsLast")[P,F,O,Y,Q]=r;else if(m==="channelsFirst")[P,Q,F,O,Y]=r;else throw new Error(`Unknown dataFormat ${m}`);let[S,,ie,ce,pe]=s,[ke,Pe,be]=rl(u),[We,ze,Ge]=rl(f),zt=il(ie,We),It=il(ce,ze),Ht=il(pe,Ge),{padInfo:pn,outDepth:wn,outHeight:Xn,outWidth:ar}=Pp(g,F,O,Y,ke,Pe,be,zt,It,Ht),Dn=w?S*Q:S,Cr=[0,0,0,0,0];return m==="channelsFirst"?Cr=[P,Dn,wn,Xn,ar]:m==="channelsLast"&&(Cr=[P,wn,Xn,ar,Dn]),{batchSize:P,dataFormat:m,inDepth:F,inHeight:O,inWidth:Y,inChannels:Q,outDepth:wn,outHeight:Xn,outWidth:ar,outChannels:Dn,padInfo:pn,strideDepth:ke,strideHeight:Pe,strideWidth:be,filterDepth:ie,filterHeight:ce,filterWidth:pe,effectiveFilterDepth:zt,effectiveFilterHeight:It,effectiveFilterWidth:Ht,dilationDepth:We,dilationHeight:ze,dilationWidth:Ge,inShape:r,outShape:Cr,filterShape:s}},tf=(r,s,u,f,g,w)=>{let m=w==="channelsLast";m?r[0].dims[3]:r[0].dims[1];let P=[64,1,1],F={x:u.map((ke,Pe)=>Pe)},O=[Math.ceil(Zd(F.x.map(ke=>u[ke]))/P[0]),1,1];kr("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${O}`);let Y=1,Q=mt.size(u),S=[{type:12,data:Q},{type:12,data:f},{type:12,data:g},{type:12,data:s.strides},{type:12,data:s.dilations}];Js(s,S),S.push(...sn(r[0].dims,r[1].dims));let ie=["rank","rank"],ce=r.length===3;ce&&(S.push(...sn(r[2].dims)),ie.push("rank")),S.push(...sn(u));let pe=ke=>{let Pe=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:f.length},{name:"pads",type:"u32",length:g.length},{name:"strides",type:"u32",length:s.strides.length},{name:"dilations",type:"u32",length:s.dilations.length}];To(s,Pe);let be=1,We=lr(r[0].dataType),ze=Bt("x",r[0].dataType,r[0].dims.length,Y),Ge=Bt("W",r[1].dataType,r[1].dims.length,be),zt=[ze,Ge],It=vn("result",r[0].dataType,u.length,be),Ht="";if(ce){let Xn=Bt("bias",r[2].dataType,r[2].dims.length,be);zt.push(Xn),Ht+=`
        fn getBiasByOutputCoords(coords : array<u32, 5>) -> ${We} {
          return bias[${m?gn("coords",4,5):gn("coords",1,5)}];
        }`}let pn=Ti(Y,We),wn=xo(s,pn,We);return`
            ${Ht}
            fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
              return ${ze.getByIndices("aIndices")};
            }
            fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
              return ${Ge.getByIndices("aIndices")};
            }
          ${ke.registerUniforms(Pe).declareVariables(...zt,It)}
          ${ke.mainStart()}
          ${ke.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
              let coords = ${It.offsetToIndices("global_idx")};
              let batch = ${gn("coords",0,ze.rank)};
              let d2 = ${m?gn("coords",ze.rank-1,ze.rank):gn("coords",1,ze.rank)};
              let xFRCCorner = vec3<u32>(${m?gn("coords",1,ze.rank):gn("coords",2,ze.rank)},
              ${m?gn("coords",2,ze.rank):gn("coords",3,ze.rank)},
              ${m?gn("coords",3,ze.rank):gn("coords",4,ze.rank)}) * uniforms.strides - uniforms.pads;
              let xFCorner = xFRCCorner.x;
              let xRCorner = xFRCCorner.y;
              let xCCorner = xFRCCorner.z;
              let xShapeY = ${m?gn("uniforms.x_shape",1,ze.rank):gn("uniforms.x_shape",2,ze.rank)};
              let xShapeZ = ${m?gn("uniforms.x_shape",2,ze.rank):gn("uniforms.x_shape",3,ze.rank)};
              let xShapeW = ${m?gn("uniforms.x_shape",3,ze.rank):gn("uniforms.x_shape",4,ze.rank)};
              let xShapeU = ${m?gn("uniforms.x_shape",4,ze.rank):gn("uniforms.x_shape",1,ze.rank)};
              let inputDepthNearestVec4 = (xShapeU / 4) * 4;
              let inputDepthVec4Remainder = xShapeU % 4;

              var value = 0.0;
              for (var wF = 0u; wF < uniforms.filter_dims[0]; wF++) {
                let xF = xFCorner + wF * uniforms.dilations[0];
                if (xF < 0 || xF >= xShapeY) {
                  continue;
                }

                for (var wR = 0u; wR < uniforms.filter_dims[1]; wR++) {
                  let xR = xRCorner + wR * uniforms.dilations[1];
                  if (xR < 0 || xR >= xShapeZ) {
                    continue;
                  }

                  for (var wC = 0u; wC < uniforms.filter_dims[2]; wC++) {
                    let xC = xCCorner + wC * uniforms.dilations[2];
                    if (xC < 0 || xC >= xShapeW) {
                      continue;
                    }

                    for (var d1 = 0u; d1 < inputDepthNearestVec4; d1 += 4) {
                      ${m?`let xValues = vec4<f32>(
                               getX(batch, xF, xR, xC, d1),
                               getX(batch, xF, xR, xC, d1 + 1),
                               getX(batch, xF, xR, xC, d1 + 2),
                               getX(batch, xF, xR, xC, d1 + 3));
                            `:`let xValues = vec4<f32>(
                               getX(batch, d1, xF, xR, xC),
                               getX(batch, d1 + 1, xF, xR, xC),
                               getX(batch, d1 + 2, xF, xR, xC),
                               getX(batch, d1 + 3, xF, xR, xC));
                            `}
                            let wValues = vec4<f32>(
                              getW(d2, d1, wF, wR, wC),
                              getW(d2, d1 + 1, wF, wR, wC),
                              getW(d2, d1 + 2, wF, wR, wC),
                              getW(d2, d1 + 3, wF, wR, wC));
                      value += dot(xValues, wValues);
                    }
                    if (inputDepthVec4Remainder == 1) {
                        ${m?`value += getX(batch, xF, xR, xC, inputDepthNearestVec4)
                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`:`value += getX(batch, inputDepthNearestVec4, xF, xR, xC)
                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`}
                    } else if (inputDepthVec4Remainder == 2) {
                      ${m?`let xValues = vec2<f32>(
                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1));
                      `:`let xValues = vec2<f32>(
                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC));
                    `}
                    let wValues = vec2<f32>(
                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC));
                      value += dot(xValues, wValues);
                    } else if (inputDepthVec4Remainder == 3) {
                      ${m?`let xValues = vec3<f32>(
                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1),
                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2));
                      `:`let xValues = vec3<f32>(
                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC),
                        getX(batch, inputDepthNearestVec4 + 2, xF, xR, xC));
                    `}
                    let wValues = vec3<f32>(
                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC),
                      getW(d2, inputDepthNearestVec4 + 2, wF, wR, wC));
                      value += dot(xValues, wValues);
                    }
                  }
                }
              }
              ${ce?"value = value + getBiasByOutputCoords(coords)":""};
              ${wn}
              result[global_idx] = f32(value);
          }`};return{name:"Conv3DNaive",shaderCache:{hint:`${s.cacheKey};${m};${Y};${ce}`,inputDependencies:ie},getRunData:()=>({outputs:[{dims:u,dataType:r[0].dataType}],dispatchGroup:{x:O[0],y:O[1],z:O[2]},programUniforms:S}),getShaderSource:pe}}}),xa,nf,$p=c(()=>{Pn(),Mn(),Vn(),nc(),Wi(),xa=(r,s,u)=>{let f=r.length>2,g=f?"value += b[output_channel];":"",w=r[0].dims,m=r[1].dims,P=m[0]/s.group,F=s.format==="NHWC",O=Yu(w,m,s.dilations,s.pads,s.strides,F),Y=mt.size(O),Q=[{type:12,data:Y},{type:12,data:s.dilations},{type:12,data:[s.strides[0],s.strides[1]]},{type:12,data:[s.pads[0],s.pads[1]]},{type:12,data:P}];Js(s,Q),Q.push(...sn(w,m));let S=["rank","rank"];f&&(Q.push(...sn(r[2].dims)),S.push("rank")),Q.push(...sn(O));let ie=ce=>{let pe=vn("output",r[0].dataType,O.length),ke=lr(pe.type.tensor),Pe=xo(s,pe.type.value,ke),be=Bt("x",r[0].dataType,w.length),We=Bt("w",r[1].dataType,m.length),ze=[be,We];f&&ze.push(Bt("b",r[2].dataType,r[2].dims.length));let Ge=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:s.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];return To(s,Ge),`
  ${ce.registerUniforms(Ge).declareVariables(...ze,pe)}

  ${ce.mainStart()}
    ${ce.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let outputIndices = ${pe.offsetToIndices("global_idx")};
    let batch: u32 = outputIndices[0];
    let output_channel: u32 = outputIndices[${F?3:1}];
    let xRCCorner: vec2<u32> = vec2<u32>(outputIndices[${F?1:2}], outputIndices[${F?2:3}]) * uniforms.strides - uniforms.pads;
    let group_id: u32 = output_channel / uniforms.output_channels_per_group;

    var value: ${pe.type.value} = ${pe.type.value}(0);
    for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {
      let input_channel = group_id * uniforms.w_shape[1] + wInChannel;
      for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) {
        let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];

        if (xHeight < 0u || xHeight >= uniforms.x_shape[${F?1:2}]) {
          continue;
        }

        for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) {
          let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];
          if (xWidth < 0u || xWidth >= uniforms.x_shape[${F?2:3}]) {
            continue;
          }

          let xVal = ${F?be.get("batch","xHeight","xWidth","input_channel"):be.get("batch","input_channel","xHeight","xWidth")};
          let wVal = ${We.get("output_channel","wInChannel","wHeight","wWidth")};
          value += xVal*wVal;
        }
      }
    }
    ${g}
    ${Pe}
    ${pe.setByOffset("global_idx","value")}
  }`};return{name:"GroupedConv",shaderCache:{hint:s.cacheKey,inputDependencies:S},getRunData:()=>({outputs:[{dims:u?u(O):O,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(Y/64)},programUniforms:Q}),getShaderSource:ie}},nf=(r,s,u,f)=>{let g=r.length>2,w=nr(u[3]),m=nr(u[2]),P=mt.size(u)/w/m,F=[r[0].dims[0],r[0].dims[1],r[0].dims[2],r[0].dims[3]/w],O=[r[1].dims[0],r[1].dims[1],r[1].dims[2],r[1].dims[3]/w],Y=[u[0],u[1],u[2],u[3]/w],Q=[{type:12,data:P},{type:6,data:[s.strides[0],s.strides[1]]},{type:6,data:[s.pads[0],s.pads[1]]}];Js(s,Q),Q.push(...sn(F,O,Y));let S=(m-1)*s.strides[1]+O[1],ie=ce=>{let pe=vn("output",r[0].dataType,Y.length,w),ke=lr(pe.type.tensor),Pe=xo(s,pe.type.value,ke),be=Bt("x",r[0].dataType,F.length,w),We=Bt("w",r[1].dataType,O.length,w),ze=[be,We];g&&ze.push(Bt("b",r[2].dataType,r[2].dims,w));let Ge=g?"value += b[output_channel];":"",zt=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return To(s,zt),`
  ${ce.registerUniforms(zt).declareVariables(...ze,pe)}
  ${ce.mainStart()}
    ${ce.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let width0 = uniforms.output_shape[3];
    let output_channel = global_idx % width0;
    var index1 = global_idx / width0;
    let width1 = uniforms.output_shape[2] / ${m}u;
    let col = (index1 % width1) * ${m}u;
    index1 = index1 / width1;
    let row = index1 % uniforms.output_shape[1];
    let batch = index1 / uniforms.output_shape[1];

    let x_corner = vec2<i32>(i32(row), i32(col)) * uniforms.strides - uniforms.pads;

    var x_vals: array<${be.type.value}, ${S}>;
    var values: array<${pe.type.value}, ${m}>;
    let input_channel = output_channel;
    // Use constant instead of uniform can give better performance for w's height/width.
    for (var w_height: u32 = 0u; w_height < ${O[0]}; w_height++) {
      let x_height = x_corner.x + i32(w_height);
      if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) {
        for (var i = 0; i < ${S}; i++) {
          let x_width = x_corner.y + i;
          if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {
            x_vals[i] = ${be.get("batch","u32(x_height)","u32(x_width)","input_channel")};
          } else {
            x_vals[i] = ${be.type.value}(0);
          }
        }
        for (var w_width: u32 = 0u; w_width < ${O[1]}; w_width++) {
          let w_val = ${We.get("w_height","w_width","0","output_channel")};
          for (var i = 0u; i < ${m}u; i++) {
            values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);
          }
        }
      }
    }

    for (var i = 0u; i < ${m}u; i++) {
      var value = values[i];
      ${Ge}
      ${Pe}
      ${pe.set("batch","row","col + i","output_channel","value")};
    }
  }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${s.cacheKey};${w};${m};${S};${O[0]};${O[1]}`,inputDependencies:g?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:f?f(u):u,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(P/64)},programUniforms:Q}),getShaderSource:ie}}}),Qu,rf,sf,Ql=c(()=>{Pn(),Mn(),Ko(),Vn(),Wi(),Qu=(r,s,u,f,g=!1,w)=>{let m=r[0].dims,P=r[1].dims,F=m[m.length-2],O=P[P.length-1],Y=m[m.length-1],Q=nr(O),S=nr(Y),ie=nr(F),ce=mt.size(u)/Q/ie,pe=r.length>2,ke=f?f.slice(0,-2):u.slice(0,-2),Pe=[mt.size(ke),F,O],be=[{type:12,data:ce},{type:12,data:F},{type:12,data:O},{type:12,data:Y}];Js(s,be),be.push(...sn(ke,m,P)),pe&&be.push(...sn(r[2].dims)),be.push(...sn(Pe));let We=ze=>{let Ge=mo("batch_dims",r[0].dataType,ke.length),zt=Bt("a",r[0].dataType,m.length,S),It=Bt("b",r[1].dataType,P.length,Q),Ht=vn("output",r[0].dataType,Pe.length,Q),pn=lr(Ht.type.tensor),wn=xo(s,Ht.type.value,pn),Xn=[zt,It],ar="";if(pe){let vr=g?Q:1;Xn.push(Bt("bias",r[2].dataType,r[2].dims.length,vr)),ar=`${g?`value += bias[col / ${vr}];`:`value += ${Ht.type.value}(bias[row + i]);`}`}let Dn=m.slice(0,-2),Cr=P.slice(0,-2),Vr=go(Dn,ke),fr=go(Cr,ke),Or=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];To(s,Or);let Fn=(vr,Ft)=>{let an=vr.rank,Nn=vr.name;if(an===2)return`var ${Nn}_indices = ${vr.type.indices}(0u, 0u);`;let Pr=Ge.rank,ai=`var ${Nn}_indices: ${vr.type.indices};`;for(let ki=an-2-1,ll=Pr-1;ki>=0;ki--,ll--)ai+=`
${Nn}_indices[${ki}] = ${Pr>1?`batch_indices[${ll}]`:"batch_indices"};`;return Ft.forEach(ki=>{ai+=`
${Nn}_indices[${ki}] = 0;`}),ai+=`${Nn}_indices[${an-2}] = 0u;
                     ${Nn}_indices[${an-1}] = 0u;`,ai},sr=()=>{let vr=`var a_data: ${zt.type.value};`;for(let Ft=0;Ft<S;Ft++)vr+=`
              let b_data${Ft} = b[(b_offset + (k + ${Ft}) * uniforms.N + col) / ${Q}];`;for(let Ft=0;Ft<ie;Ft++){vr+=`a_data = a[(a_offset + (row + ${Ft}) * uniforms.K + k) / ${S}];`;for(let an=0;an<S;an++)vr+=`
            values[${Ft}] = fma(${It.type.value}(a_data${S===1?"":`[${an}]`}), b_data${an}, values[${Ft}]);
`}return vr};return`
  ${ze.registerUniforms(Or).registerInternalVariables(Ge).declareVariables(...Xn,Ht)}
  ${ze.mainStart()}
    ${ze.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let col = (global_idx % (uniforms.N / ${Q})) * ${Q};
    var index1 = global_idx / (uniforms.N / ${Q});
    let stride1 = uniforms.M / ${ie};
    let row = (index1 % stride1) * ${ie};
    let batch = index1 / stride1;

    ${u.length===2?"":`let batch_indices = ${Ge.offsetToIndices("batch")};`}
    ${Fn(zt,Vr)}
    let a_offset = ${zt.indicesToOffset("a_indices")};
    ${Fn(It,fr)}
    let b_offset = ${It.indicesToOffset("b_indices")};
    var values: array<${Ht.type.value}, ${ie}>;
    for (var k: u32 = 0u; k < uniforms.K; k = k + ${S}) {
      ${sr()}
    }
    for (var i = 0u; i < ${ie}u; i++) {
      var value = values[i];
      ${ar}
      ${wn}
      let cur_indices = ${Ht.type.indices}(batch, row + i, col);
      let offset = ${Ht.indicesToOffset("cur_indices")};
      ${Ht.setByOffset(`offset / ${Q}`,"value")};
    }
  }
  `};return{name:"MatMulNaive",shaderCache:{hint:`${s.activation};${Q};${S};${ie};${g}`,inputDependencies:pe?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:w?w(u):u,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(ce/64)},programUniforms:be}),getShaderSource:We}},rf=r=>{if(!r||r.length!==2)throw new Error("MatMul requires 2 inputs.");if(r[0].dims[r[0].dims.length-1]!==r[1].dims[r[1].dims.length-2])throw new Error("shared dimension does not match.")},sf=r=>{rf(r.inputs);let s=Qr.calcShape(r.inputs[0].dims,r.inputs[1].dims,!0);if(!s)throw new Error("Can't use matmul on the given tensors");let u=s[s.length-1],f=r.inputs[0].dims[r.inputs[0].dims.length-1];u<8&&f<8?r.compute(Qu(r.inputs,{activation:""},s)):r.compute(Ku(r.inputs,{activation:""},s))}}),Yu,Yl,of,Zl,Zu,Ju,ec,af,tc,nc=c(()=>{Mn(),Cp(),Ap(),Ko(),$p(),Wi(),Ql(),yo(),Yu=(r,s,u,f,g,w)=>{let m=r[0],P=r.slice(w?1:2,w?3:4),F=P.length,O=s[0],Y=s.slice(2).map((S,ie)=>S+(S-1)*(u[ie]-1)),Q=P.map((S,ie)=>S+f[ie]+f[ie+F]).map((S,ie)=>Math.floor((S-Y[ie]+g[ie])/g[ie]));return Q.splice(0,0,m),Q.splice(w?3:1,0,O),Q},Yl=[2,3,1,0],of=(r,s)=>{if(!r||r.length!==2&&r.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(r[0].dims.length>5)throw new Error("greater than 5D is not supported");if(r[0].dims.length!==r[1].dims.length)throw new Error("filter does not have same dimension as input");let u=r[0].dims[s.format==="NHWC"?r[0].dims.length-1:1],f=r[1].dims[1]*s.group;if(u!==f)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(r.length===3&&(r[2].dims.length!==1||r[1].dims[0]!==r[2].dims[0]))throw new Error("invalid bias");let g=r[0].dims.length-2;if(s.dilations.length!==g)throw new Error(`dilations should be ${g}D`);if(s.strides.length!==g)throw new Error(`strides should be ${g}D`);if(s.pads.length!==g*2)throw new Error(`pads should be ${g*2}D`);if(s.kernelShape.length!==0&&s.kernelShape.length!==r[1].dims.length-2)throw new Error("invalid kernel shape")},Zl=(r,s)=>{let u=r.kernelShape.slice();for(let w=2;w<s[1].dims.length;++w)u[w-2]===0&&(u[w-2]=s[1].dims[w]);let f=r.pads.slice();jr.adjustPadsBasedOnAutoPad(s[0].dims,r.strides,r.dilations,u,f,r.format==="NHWC",r.autoPad);let g=Object.assign({},r);return Object.assign(g,{kernelShape:u,pads:f}),g},Zu=r=>{let s=Uu(r),u=r.format,f=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][r.auto_pad],g=r.dilations,w=r.group,m=r.kernel_shape,P=r.pads,F=r.strides,O=r.w_is_const();return{autoPad:f,format:u,dilations:g,group:w,kernelShape:m,pads:P,strides:F,wIsConst:O,...s,cacheKey:`${r.format};${s.activation};`}},Ju=(r,s,u,f)=>{let g=u.format==="NHWC";if(u.group!==1){if(!r.adapterInfo.isArchitecture("ampere")&&g&&s[1].dims[0]===u.group&&s[1].dims[1]===1&&u.dilations[0]===1&&u.dilations[1]===1){let zt=Yu(s[0].dims,s[1].dims,u.dilations,u.pads,u.strides,g),It=r.kernelCustomData.wT??r.compute(Oi(s[1],Yl),{inputs:[1],outputs:[u.wIsConst?-2:-1]})[0];u.wIsConst&&!r.kernelCustomData.wT&&(r.kernelCustomData.wT=It);let Ht=[s[0],It];s.length===3&&Ht.push(s[2]),r.compute(nf(Ht,u,zt,f),{inputs:Ht})}else r.compute(xa(s,u,f));return}let w=s.length===3,m=s[0].dims[g?1:2],P=s[0].dims[g?2:3],F=s[0].dims[g?3:1],O=s[1].dims[2],Y=s[1].dims[3],Q=Yu(s[0].dims,s[1].dims,u.dilations,u.pads,u.strides,g),S=Q[g?1:2],ie=Q[g?2:3],ce=Q[g?3:1],pe=g&&O===m&&Y===P&&u.pads[0]===0&&u.pads[1]===0;if(pe||O===1&&Y===1&&u.dilations[0]===1&&u.dilations[1]===1&&u.strides[0]===1&&u.strides[1]===1&&u.pads[0]===0&&u.pads[1]===0){let zt=Q[0],It,Ht,pn,wn=[];if(g){let Dn=r.kernelCustomData.wT??r.compute(Oi(s[1],Yl),{inputs:[1],outputs:[u.wIsConst?-2:-1]})[0];if(u.wIsConst&&!r.kernelCustomData.wT&&(r.kernelCustomData.wT=Dn),pe){let Cr=m*P*F;It=s[0].reshape([1,zt,Cr]),Ht=Dn.reshape([1,Cr,ce]),pn=[1,zt,ce]}else It=s[0].reshape([zt,m*P,F]),Ht=Dn.reshape([1,F,ce]),pn=[zt,S*ie,ce];wn.push(It),wn.push(Ht)}else It=s[0].reshape([zt,F,m*P]),Ht=s[1].reshape([1,ce,F]),pn=[zt,ce,S*ie],wn.push(Ht),wn.push(It);w&&wn.push(s[2]);let Xn=pn[2],ar=wn[0].dims[wn[0].dims.length-1];Xn<8&&ar<8?r.compute(Qu(wn,u,Q,pn,g,f),{inputs:wn}):r.compute(Ku(wn,u,Q,pn,g,f),{inputs:wn});return}let ke=!0,Pe=r.kernelCustomData.wT??r.compute(Oi(s[1],Yl),{inputs:[1],outputs:[u.wIsConst?-2:-1]})[0];u.wIsConst&&!r.kernelCustomData.wT&&(r.kernelCustomData.wT=Pe);let be=[s[0],Pe];w&&be.push(s[2]);let We=g?S*ie:ce,ze=g?ce:S*ie,Ge=O*Y*F;r.compute(Yd(be,u,Q,We,ze,Ge,w,ke,f),{inputs:be})},ec=(r,s)=>{let u=s.format==="NHWC",f=[r.inputs[0].reshape(u?[r.inputs[0].dims[0],1,r.inputs[0].dims[1],r.inputs[0].dims[2]]:[r.inputs[0].dims[0],r.inputs[0].dims[1],1,r.inputs[0].dims[2]]),r.inputs[1].reshape([r.inputs[1].dims[0],r.inputs[1].dims[1],1,r.inputs[1].dims[2]])];r.inputs.length===3&&f.push(r.inputs[2]);let g=[0,s.pads[0],0,s.pads[1]],w=[1].concat(s.strides),m=[1].concat(s.dilations),P=[1].concat(s.kernelShape),F=Zl({...s,pads:g,strides:w,dilations:m,kernelShape:P},f);Ju(r,f,F,O=>u?[O[0],O[2],O[3]]:[O[0],O[1],O[3]])},af=(r,s,u)=>{let f=u.format==="NHWC"?"channelsLast":"channelsFirst",g=Zl(u,s),w=u.autoPad==="NOTSET"?u.pads:u.autoPad,m=ef(s[0].dims,s[1].dims,u.strides,u.dilations,w,!1,f);r.compute(tf(s,g,m.outShape,[m.filterDepth,m.filterHeight,m.filterWidth],[m.padInfo.front,m.padInfo.top,m.padInfo.left],f))},tc=(r,s)=>{if(of(r.inputs,s),r.inputs[0].dims.length===3)ec(r,s);else if(r.inputs[0].dims.length===5)af(r,r.inputs,s);else{let u=Zl(s,r.inputs);Ju(r,r.inputs,u)}}}),lf,uf,cf=c(()=>{Pn(),_i(),Vn(),Wi(),ql(),qu(),Ko(),lf=(r,s=!1,u,f,g=4)=>{let w=ke=>{switch(ke){case 1:return"return w[getIndexFromCoords4D(coord, vec4<i32>(uniforms.w_shape))];";case 4:return`
            let coord1 = vec4<i32>(coordX, coordY, col + 1, rowInner);
            let coord2 = vec4<i32>(coordX, coordY, col + 2, rowInner);
            let coord3 = vec4<i32>(coordX, coordY, col + 3, rowInner);
            let v0 = w[getIndexFromCoords4D(coord, vec4<i32>(uniforms.w_shape))];
            let v1 = w[getIndexFromCoords4D(coord1, vec4<i32>(uniforms.w_shape))];
            let v2 = w[getIndexFromCoords4D(coord2, vec4<i32>(uniforms.w_shape))];
            let v3 = w[getIndexFromCoords4D(coord3, vec4<i32>(uniforms.w_shape))];
            return ${f}(v0, v1, v2, v3);
            `;default:throw new Error(`innerElementSize ${ke} is not supported.`)}},m=r?`
      let coord = vec4<i32>(batch, iXR, iXC, xCh);
      `:`
      let coord = vec4<i32>(batch, xCh, iXR, iXC);
      `,P=r?`
    let coords = vec4<i32>(
      batch,
      row / outWidth,
      row % outWidth,
      col);
    `:`
    let coords = vec4<i32>(
      batch,
      row,
      col / outWidth,
      col % outWidth);
    `,F=r?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",O=r?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",Y=r?"row":"col",Q=r?"col":"row",S=`
      let inChannels = ${r?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"};
      let outWidth = ${r?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
      let outRow = ${Y} / outWidth;
      let outCol = ${Y} % outWidth;

      let WRow = ${Q} / (uniforms.filter_dims[1] * inChannels);
      let WCol = ${Q} / inChannels % uniforms.filter_dims[1];
      let xR = f32(outRow - uniforms.pads[0] + uniforms.dilations[0] * WRow) / f32(uniforms.strides[0]);
      let xC = f32(outCol - uniforms.pads[1] + uniforms.dilations[1] * WCol) / f32(uniforms.strides[1]);
      if (xR < 0.0 || xR >= f32(${F}) || fract(xR) > 0.0) {
        return ${f}(0.0);
      }
      if (xC < 0.0 || xC >= f32(${O}) || fract(xC) > 0.0) {
        return ${f}(0.0);
      }
      let iXR = i32(xR);
      let iXC = i32(xC);
      let xCh = ${Q} % inChannels;
      ${m}
      return x[getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape))/${g}];`,ie=r?`
      let col = colIn * ${g};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
        ${S}
      }
      return ${f}(0.0);`:`
      let col = colIn * ${g};
      if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
        ${S}
      }
      return ${f}(0.0);`,ce=`
      let col = colIn * ${g};
      let inChannels = ${r?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"};
      let coordX = uniforms.filter_dims[0] - 1 - row / (uniforms.filter_dims[1] * inChannels);
      let coordY = uniforms.filter_dims[1] - 1 - (row / inChannels) % uniforms.filter_dims[1];
      if (${r?"row < uniforms.dim_inner && col < uniforms.dim_b_outer":"row < uniforms.dim_inner && col < uniforms.dim_a_outer"}  && coordX >= 0 && coordY >= 0) {
        let rowInner = row % inChannels;
        let coord = vec4<i32>(coordX, coordY, col, rowInner);
        ${w(g)}
      }
      return ${f}(0.0);
      `,pe=xo(u,f);return`
  fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${f} {
    ${r?ie:ce}
  }

  fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${f} {
    ${r?ce:ie}
  }

  fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${f}) {
    let col = colIn * ${g};
    if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {
      var value = valueInput;
      let outWidth = ${r?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
      ${P}
      ${Wu(s)}
      ${pe}
      result[getIndexFromCoords4D(coords, vec4<i32>(uniforms.result_shape))/${g}] = value;
    }
  }`},uf=(r,s,u,f,g,w,m,P)=>{let F=s.format==="NHWC",O=F?r[0].dims[3]:r[0].dims[1],Y=u[0],Q=F?u[2]:u[3],S=F?u[1]:u[2],ie=F?u[3]:u[1],ce=F&&O%4===0&&O%3&&ie%4===0,pe=F?ie:Q*S,ke=F?Q*S:ie,Pe=[8,8,1],be=f<=8?[4,1,1]:[4,4,1],We=[Math.ceil(pe/Pe[0]/be[0]),Math.ceil(ke/Pe[1]/be[1]),Math.ceil(Y/Pe[2]/be[2])];kr("verbose",()=>`[conv_backprop_mm_webgpu] dispatch = ${We}`);let ze=ce?4:1,Ge=Math.max(Pe[0]*ze,Pe[1]),zt=ce?4:1,It=[s.kernelShape[F?1:2],s.kernelShape[F?2:3]],Ht=[It[0]+(s.dilations[0]<=1?0:(It[0]-1)*(s.dilations[0]-1)),It[1]+(s.dilations[1]<=1?0:(It[1]-1)*(s.dilations[1]-1))],pn=[Ht[0]-1-Math.floor((s.pads[0]+s.pads[2])/2),Ht[1]-1-Math.floor((s.pads[1]+s.pads[3])/2)],wn=[{type:6,data:f},{type:6,data:g},{type:6,data:w},{type:6,data:s.strides},{type:6,data:s.dilations},{type:6,data:It},{type:6,data:pn}];Js(s,wn),wn.push(...sn(r[0].dims,r[1].dims));let Xn=["rank","rank"];m&&(wn.push(...sn(r[2].dims)),Xn.push("rank")),wn.push(...sn(u));let ar=Dn=>{let Cr=Bt("x",r[0].dataType,r[0].dims.length,zt),Vr=Bt("w",r[1].dataType,r[1].dims.length,1),fr=vn("result",r[0].dataType,u.length,zt),Or=[Cr,Vr],Fn="";if(m){let Ft=Bt("bias",r[2].dataType,r[2].dims.length,zt);Or.push(Ft),Fn+=`
          fn getBiasByOutputCoords(coords : vec4<i32>) -> ${Ft.type.value} {
            return bias[coords.${F?"w":"y"}${ce?"/ 4":""}];
          }`}let sr=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"strides",type:"i32",length:2},{name:"dilations",type:"i32",length:2},{name:"filter_dims",type:"i32",length:It.length},{name:"pads",type:"i32",length:pn.length}];To(s,sr);let vr=lr(r[0].dataType,1);if(vr!=="f16"&&vr!=="f32")throw new Error(`elemType ${vr} is not supported.`);return`
        ${Gu("uniforms.result_strides")}
        ${Dn.registerUniforms(sr).declareVariables(...Or,fr)};
        ${Fn}
        ${lf(F,m,s,Cr.type.value,ze)}
        ${ce?Hl(be,Pe,vr,void 0,!F,Ge):Xl(be,Pe,vr,void 0,!F,Ge,!1,void 0,P)}`};return{name:"Conv2DTransposeMatMul",shaderCache:{hint:`${s.cacheKey};${be};${Pe};${ce}`,inputDependencies:Xn},getRunData:()=>({outputs:[{dims:u,dataType:r[0].dataType}],dispatchGroup:{x:We[0],y:We[1],z:We[2]},programUniforms:wn}),getShaderSource:ar}}}),df,rc,ic=c(()=>{Pn(),_i(),Mn(),Vn(),df=(r,s,u,f,g,w=!1,m,P,F=!1)=>{let O=F?1:2,Y=F?2:3,Q=F?3:1,S=w?2:1,ie=`
  fn setOutputAtIndex(flatIndex : u32, value : ${w?`vec4<${m}>`:m}) {
    result[flatIndex] = ${w?`vec4<${m}>`:m}(value);
  }`;f&&(ie+=`
    fn getBiasByOutputCoords(coords : vec4<u32>) -> ${w?`vec4<${m}>`:m} {
      return bias[coords.${F?"w":"y"}${w?"/ 4":""}];
    }`);let ce=w?4:1,pe=Bt("W",s[1].dataType,s[1].dims.length,ce),ke=Bt("Dy",s[0].dataType,s[0].dims.length,ce),Pe=[ke,pe];f&&Pe.push(Bt("bias",s[2].dataType,[u[Q]].length,ce));let be=vn("result",s[0].dataType,u.length,ce),We=`{
        let batch: u32 = ${g?"global_id.z":"workgroup_id.z"} / uniforms.result_shape[1];
        let r = ${g?"global_id.z":"workgroup_id.z"} % uniforms.result_shape[1];
        let c = ${g?"global_id.y":"workgroup_id.y"} * ${S};
        let d1: u32 = ${g?"global_id.x":"workgroup_id.x"} * 4;

        let dyCorner = vec2<i32>(i32(r), i32(c)) - vec2<i32>(uniforms.pads);

        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
        // ? = to be determined. : = across all values in that axis.
        var dotProd: array<vec4<${m}>, ${S}>;
        for (var i = 0; i < ${S}; i++) {
          dotProd[i] = vec4<${m}>(0.0);
        }
        for (var wR: u32 = 0; wR < uniforms.filter_dims[0]; wR = wR + 1) {
          var dyR = (${m}(dyCorner.x) + ${m}(wR)) / ${m}(uniforms.strides.x);
          let wRPerm = uniforms.filter_dims[0] - 1 - wR;
          if (dyR < 0.0 || dyR >= ${m}(uniforms.Dy_shape[1]) ||
              fract(dyR) > 0.0 || wRPerm < 0) {
            continue;
          }
          let idyR: u32 = u32(dyR);

          for (var wC: u32 = 0; wC < uniforms.filter_dims[1]; wC = wC + 1) {
            let dyC = (${m}(dyCorner.y) + ${m}(wC)) / ${m}(uniforms.strides.y);
            let dyC2 = (${m}(dyCorner.y) + 1.0 + ${m}(wC)) / ${m}(uniforms.strides.y);
            let wCPerm = uniforms.filter_dims[1] - 1 - wC;
            if (wCPerm < 0) {
              continue;
            }
            var bDyCVal = true;
            var bDyCVal2 = true;
            if (dyC < 0.0 || dyC >= ${m}(uniforms.Dy_shape[2]) ||
                fract(dyC) > 0.0) {
              bDyCVal = false;
            }
            if (dyC2 < 0.0 || dyC2 >= ${m}(uniforms.Dy_shape[2]) ||
                fract(dyC2) > 0.0) {
              bDyCVal2 = false;
            }

            let idyC: u32 = u32(dyC);
            let idyC2: u32 = u32(dyC2);
            if (bDyCVal && bDyCVal2) {
              let d2Length = uniforms.Dy_shape[3];
              for (var d2 :u32 = 0; d2 < d2Length; d2 = d2 + 4) {
                let wValue0 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};
                let wValue1 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};
                let wValue2 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};
                let wValue3 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};

                var xValue = ${ke.get("batch","idyR","idyC","d2")};
                let tmpval = vec4<${m}>(dot(xValue, wValue0),
                                      dot(xValue, wValue1),
                                      dot(xValue, wValue2),
                                      dot(xValue, wValue3));
                dotProd[0] = dotProd[0] + tmpval;

                xValue =  ${ke.get("batch","idyR","idyC2","d2")};

                dotProd[1] = dotProd[1] + vec4<${m}>(dot(xValue, wValue0),
                                                    dot(xValue, wValue1),
                                                    dot(xValue, wValue2),
                                                    dot(xValue, wValue3));
              }
            } else if (bDyCVal) {
              let d2Length = uniforms.Dy_shape[${Q}];
              for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) {
                let wValue0 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};
                let wValue1 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};
                let wValue2 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};
                let wValue3 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};

                var xValue = ${ke.get("batch","idyR","idyC","d2")};
                let tmpval = vec4<${m}>(dot(xValue, wValue0),
                                      dot(xValue, wValue1),
                                      dot(xValue, wValue2),
                                      dot(xValue, wValue3));
                dotProd[0] = dotProd[0] + tmpval;
              }
            } else if (bDyCVal2) {
              let d2Length = uniforms.Dy_shape[3];
              for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) {
                let wValue0 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};
                let wValue1 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};
                let wValue2 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};
                let wValue3 = ${pe.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};

                var xValue = ${ke.get("batch","idyR","idyC2","d2")};
                let tmpval = vec4<${m}>(dot(xValue, wValue0),
                                      dot(xValue, wValue1),
                                      dot(xValue, wValue2),
                                      dot(xValue, wValue3));
                dotProd[1] = dotProd[1] + tmpval;
              }
            }
          }
        }

        for (var i: u32 = 0; i < ${S}; i = i + 1) {
          let value = dotProd[i] + ${f?"bias[c+i]":`vec4<${m}>(0.0)`};
          ${be.set("batch","r","c + i","d1","value")};
        }
      }`,ze=`
          let outputIndices = ${be.offsetToIndices("global_idx")};
          let batch = ${be.indicesGet("outputIndices",0)};
          let d1 = ${be.indicesGet("outputIndices",Q)};
          let r = ${be.indicesGet("outputIndices",O)};
          let c = ${be.indicesGet("outputIndices",Y)};
          let dyCorner = vec2<i32>(i32(r), i32(c)) - uniforms.pads;
          let dyRCorner = dyCorner.x;
          let dyCCorner = dyCorner.y;
          let groupId = d1 / uniforms.output_channels_per_group;
          let wOutChannel = d1 - groupId * uniforms.output_channels_per_group;
          // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
          // ? = to be determined. : = across all values in that axis.
          var dotProd = ${m}(0.0);
          for (var wR: u32 = 0; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {
            if (wR % uniforms.dilations.x != 0) {
              continue;
            }
            let dyR = (${m}(dyRCorner) + ${m}(wR)) / ${m}(uniforms.strides[0]);
            let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;
            if (dyR < 0.0 || dyR >= ${m}(uniforms.Dy_shape[${O}]) || fract(dyR) > 0.0 ||
                wRPerm < 0) {
              continue;
            }
            let idyR: u32 = u32(dyR);

            for (var wC: u32 = 0; wC < uniforms.effective_filter_dims.y; wC = wC + 1) {
              if (wC % uniforms.dilations.y != 0) {
                continue;
              }
              let dyC = (${m}(dyCCorner) + ${m}(wC)) / ${m}(uniforms.strides.y);
              let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y;
              if (dyC < 0.0 || dyC >= ${m}(uniforms.Dy_shape[${Y}]) ||
                  fract(dyC) > 0.0 || wCPerm < 0) {
                continue;
              }
              let idyC: u32 = u32(dyC);
              var inputChannel = groupId * uniforms.input_channels_per_group;
              for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group; d2 = d2 + 1) {
                let xValue = ${F?ke.get("batch","idyR","idyC","inputChannel"):ke.get("batch","inputChannel","idyR","idyC")};
                let wValue = ${pe.get("inputChannel","wOutChannel","u32(wRPerm)","u32(wCPerm)")};
                dotProd = dotProd + xValue * wValue;
                inputChannel = inputChannel + 1;
              }
            }
          }
          let value = dotProd + ${f?"bias[d1]":`${m}(0.0)`};
          ${be.setByOffset("global_idx","value")};
        `;return`
  ${r.registerUniforms(P).declareVariables(...Pe,be)}
  ${ie}

    ${r.mainStart()}
    ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")};
  ${w?We:ze}}`},rc=(r,s,u)=>{let f=r.length>2,g=s.outputShape,w=mt.size(g),m=[Math.ceil(w/64),1,1];kr("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${m}`);let P=s.format==="NHWC",F=["rank","rank"],O=[s.strides[0],s.strides[1]],Y=[s.kernelShape[P?1:2],s.kernelShape[P?2:3]],Q=[s.dilations[0],s.dilations[1]],S=[Y[0]+(s.dilations[0]<=1?0:(s.kernelShape[P?1:2]-1)*(s.dilations[0]-1)),Y[1]+(s.dilations[1]<=1?0:(s.kernelShape[P?2:3]-1)*(s.dilations[1]-1))],ie=[S[0]-1-Math.floor((s.pads[0]+s.pads[2])/2),S[1]-1-Math.floor(s.pads[1]+s.pads[3])/2],ce=!1,pe=s.group,ke=r[1].dims,Pe=ke[0]/pe,be=ke[1],We=[{type:12,data:w},{type:12,data:O},{type:12,data:Y},{type:12,data:Q},{type:12,data:S},{type:6,data:ie},{type:12,data:Pe},{type:12,data:be},...sn(r[0].dims,r[1].dims)];f&&(We.push(...sn(r[2].dims)),F.push("rank")),We.push(...sn(g));let ze=m[1]===1&&m[2]===1,Ge=zt=>{let It=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:O.length},{name:"filter_dims",type:"u32",length:Y.length},{name:"dilations",type:"u32",length:Y.length},{name:"effective_filter_dims",type:"u32",length:S.length},{name:"pads",type:"i32",length:ie.length},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],Ht=lr(r[0].dataType);return`${df(zt,r,g,f,ze,ce,Ht,It,P)}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${s.cacheKey};`,inputDependencies:F},getRunData:()=>({dispatchGroup:{x:m[0],y:m[1],z:m[2]},outputs:[{dims:u?u(g):g,dataType:r[0].dataType}],programUniforms:We}),getShaderSource:Ge}}}),ff,hf,pf,sc,oc,Jl,Ip,mf,gf,ac,Fp=c(()=>{cf(),ic(),Wi(),yo(),ff=(r,s,u,f,g,w)=>(r-1)*s+u+(f-1)*g+1-w,hf=(r,s,u,f,g)=>{let w=Math.floor(r/2);s==="SAME_UPPER"?(u[f]=w,u[g]=r-w):s==="SAME_LOWER"&&(u[f]=r-w,u[g]=w)},pf=(r,s,u,f,g,w,m,P,F,O)=>{let Y=r.length-2,Q=O.length===0;if(F.length===0)for(let ce=0;ce<Y;++ce)F.push(0);let S=r[0],ie=s[P?3:1]*g;for(let ce=0,pe=r.length-Y-(P?1:0);ce<Y;++ce,++pe){let ke=r[pe],Pe=Q?ke*m[ce]:O[ce],be=ff(ke,m[ce],w[ce],s[pe],u[ce],Pe);hf(be,f,w,ce,ce+Y),Q&&O.push(m[ce]*(ke-1)+F[ce]+(s[pe]-1)*u[ce]+1-w[ce]-w[ce+Y])}O.splice(0,0,S),O.splice(P?3:1,0,ie)},sc=(r,s)=>{let u=r.kernelShape.slice();if(r.kernelShape.length===0||r.kernelShape.reduce((Q,S)=>Q*S,1)===0){u.length=0;for(let Q=2;Q<s[1].dims.length;++Q)u.push(s[1].dims[Q])}let f=r.format==="NHWC";u.splice(0,0,s[1].dims[0]),u.splice(f?3:1,0,s[1].dims[1]);let g=r.pads.slice(),w=r.outputShape.slice(),m=r.outputPadding.slice(),P=s[0].dims,F=r.dilations.slice();if(F.reduce((Q,S)=>Q+S,0)===0){let Q=s[0].dims.length-2;F=new Array(Q).fill(1)}let O=r.strides.slice();if(O.reduce((Q,S)=>Q+S,0)===0){let Q=s[0].dims.length-2;O=new Array(Q).fill(1)}pf(P,u,F,r.autoPad,r.group,g,O,f,m,w);let Y=Object.assign({},r);return Object.assign(Y,{kernelShape:u,pads:g,outputPadding:m,outputShape:w,dilations:F,strides:O}),Y},oc=r=>{let s=Uu(r),u=r.format,f=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof r.autoPad>"u"?0:r.autoPad],g=r.dilations,w=r.group,m=r.kernelShape,P=r.pads,F=r.strides,O=r.wIsConst(),Y=r.outputPadding,Q=r.outputShape;return{autoPad:f,format:u,dilations:g,group:w,kernelShape:m,outputPadding:Y,outputShape:Q,pads:P,strides:F,wIsConst:O,...s,cacheKey:`${r.format};${s.activation};`}},Jl=(r,s)=>{if(!r||r.length!==2&&r.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(r[0].dims.length!==4&&r[0].dims.length!==3)throw new Error("currently only support 2-dimensional conv");if(r[0].dims.length!==r[1].dims.length)throw new Error("filter does not have same dimension as input");let u=r[0].dims[s.format==="NHWC"?r[0].dims.length-1:1],f=r[1].dims[0];if(u!==f)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let g=r[1].dims[1]*s.group;if(r.length===3&&(r[2].dims.length!==1||r[2].dims[0]!==g))throw new Error("invalid bias");let w=r[0].dims.length-2;if(s.dilations.reduce((m,P)=>m+P,0)>0&&s.dilations.length!==w)throw new Error(`dilations should be ${w}D`);if(s.strides.reduce((m,P)=>m+P,0)>0&&s.strides.length!==w)throw new Error(`strides should be ${w}D`);if(s.pads.reduce((m,P)=>m+P,0)>0&&s.pads.length!==w*2)throw new Error(`pads should be ${w*2}D`);if(s.outputPadding.length!==w&&s.outputPadding.length!==0)throw new Error(`output_padding should be ${w}D`);if(s.kernelShape.reduce((m,P)=>m+P,0)>0&&s.kernelShape.length!==0&&s.kernelShape.length!==r[1].dims.length-2)throw new Error("invalid kernel shape");if(s.outputShape.length!==0&&s.outputShape.length!==r[0].dims.length-2)throw new Error("invalid output shape")},Ip=[2,3,1,0],mf=(r,s,u)=>{let f=sc(u,s),g=u.format==="NHWC",w=f.outputShape,m=w[g?3:1],P=s[0].dims[g?3:1];if(f.group!==1||m===1&&P===1){r.compute(rc(s,f));return}let F=w[g?1:2],O=w[g?2:3],Y=s[1].dims[2],Q=s[1].dims[3],S=g?F*O:m,ie=g?m:F*O,ce=Y*Q*P,pe=!0,ke=r.kernelCustomData.wT??r.compute(Oi(s[1],Ip),{inputs:[1],outputs:[u.wIsConst?-2:-1]})[0];u.wIsConst&&!r.kernelCustomData.wT&&(r.kernelCustomData.wT=ke);let Pe=[s[0],ke],be=s.length===3;be&&(!g&&s[2].dims.length===1?Pe.push(s[2].reshape([s[2].dims[0],1,1])):Pe.push(s[2])),r.compute(uf(Pe,f,w,S,ie,ce,be,pe),{inputs:Pe})},gf=(r,s)=>{let u=s.format==="NHWC",f=[r.inputs[0].reshape(u?[r.inputs[0].dims[0],1,r.inputs[0].dims[1],r.inputs[0].dims[2]]:[r.inputs[0].dims[0],r.inputs[0].dims[1],1,r.inputs[0].dims[2]]),r.inputs[1].reshape([r.inputs[1].dims[0],r.inputs[1].dims[1],1,r.inputs[1].dims[2]])];r.inputs.length===3&&f.push(r.inputs[2]);let g=s.kernelShape;(g.length===0||g[0]===0)&&(g=[r.inputs[1].dims[2]]);let w=s.dilations;(w.length===0||w[0]===0)&&(w=[1]);let m=s.strides;(m.length===0||m[0]===0)&&(m=[1]);let P=s.pads;P.length===0&&(P=[0,0]),P=[0,P[0],0,P[1]],m=[1].concat(m),w=[1].concat(w),g=[1].concat(g);let F=sc({...s,pads:P,strides:m,dilations:w,kernelShape:g},f);r.compute(rc(f,F,O=>u?[O[0],O[2],O[3]]:[O[0],O[1],O[3]]))},ac=(r,s)=>{Jl(r.inputs,s),r.inputs[0].dims.length===3?gf(r,s):mf(r,r.inputs,s)}}),_f,lc,yf,Op=c(()=>{Pn(),Mn(),Bn(),Vn(),_f=(r,s,u,f)=>{let g=mt.size(s),w=s.length,m=Bt("input",r,w),P=vn("output",r,w),F=u.dataType===6?u.getInt32Array()[0]:Number(u.getBigInt64Array()[0]),O=mt.normalizeAxis(F,w),Y=Q=>{let S=` i32(${m.indicesGet("inputIndices","uniforms.axis")}) `,ie=gn("uniforms.input_shape","uniforms.axis",w),ce=f.reverse?S+(f.exclusive?" + 1":""):"0",pe=f.reverse?ie:S+(f.exclusive?"":" + 1");return`
                ${Q.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(m,P)}
                ${Q.mainStart()}
                  ${Q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
                  var inputIndices = ${P.offsetToIndices("global_idx")};
                  var sum = ${P.type.value}(0);
                  let first : i32 = ${ce};
                  let last : i32 = ${pe};
                  for (var i : i32 = first; i < last; i++) {
                    ${m.indicesSet("inputIndices","uniforms.axis","u32(i)")};
                    sum = sum + ${m.getByIndices("inputIndices")};
                  }
                  ${P.setByOffset("global_idx","sum")};
                }`};return{name:"CumSum",shaderCache:{hint:f.cacheKey,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:s,dataType:r}],dispatchGroup:{x:Math.ceil(g/64)},programUniforms:[{type:12,data:g},{type:12,data:O},...sn(s,s)]}),getShaderSource:Y}},lc=(r,s)=>{let u=r.inputs[0].dims,f=r.inputs[0].dataType,g=r.inputs[1];r.compute(_f(f,u,g,s),{inputs:[0]})},yf=r=>{let s=r.exclusive===1,u=r.reverse===1;return bn({exclusive:s,reverse:u})}}),uc,Dp,zp,cc,dc,Rp=c(()=>{Pn(),Mn(),Bn(),Vn(),uc=r=>{if(!r||r.length!==1)throw new Error("DepthToSpace requires 1 input.");if(r[0].dims.length!==4)throw new Error("DepthToSpace requires 4D input.")},Dp=(r,s,u,f)=>{let g=[];g.push(`fn perm(i: ${f.type.indices}) -> ${u.type.indices} {
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`)},zp=(r,s)=>{let u,f,g,w,m,P,F=s.format==="NHWC",O=s.blocksize,Y=s.mode==="DCR";F?([u,f,g,w]=r.dims,m=Y?[u,f,g,O,O,w/O**2]:[u,f,g,w/O**2,O,O],P=Y?[0,1,3,2,4,5]:[0,1,4,2,5,3]):([u,f,g,w]=[r.dims[0],r.dims[2],r.dims[3],r.dims[1]],m=Y?[u,O,O,w/O**2,f,g]:[u,w/O**2,O,O,f,g],P=Y?[0,3,4,1,5,2]:[0,1,4,2,5,3]);let Q=r.reshape(m),S=Q.dims.length,ie=r.dataType,ce=Bt("a",ie,S),pe=vn("output",ie,S),ke=Pe=>`
  ${Pe.registerUniform("output_size","u32").declareVariables(ce,pe)}

  ${Dp(P,S,ce,pe)}

  ${Pe.mainStart()}
    ${Pe.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let indices = ${pe.offsetToIndices("global_idx")};
    let aIndices = perm(indices);

    ${pe.setByOffset("global_idx",ce.getByIndices("aIndices"))}
  }`;return{name:"DepthToSpace",shaderCache:{hint:`${r.dims};${s.blocksize};${s.mode}`,inputDependencies:["rank"]},getRunData:Pe=>{let be=F?[u,f*O,g*O,w/O**2]:[u,w/O**2,f*O,g*O],We=mt.size(be),ze=Q.dims,Ge=mt.sortBasedOnPerm(ze,P);return{outputs:[{dims:be,dataType:Pe[0].dataType}],dispatchGroup:{x:Math.ceil(We/64)},programUniforms:[{type:12,data:We},...sn(ze,Ge)]}},getShaderSource:ke}},cc=(r,s)=>{uc(r.inputs),r.compute(zp(r.inputs[0],s))},dc=r=>bn({blocksize:r.blocksize,mode:r.mode,format:r.format})}),eu,Ta,fc,vf,hc,wf,bf,tu,xf,Tf,xr,s_=c(()=>{Pn(),Mn(),Bn(),Vn(),eu="[a-zA-Z]|\\.\\.\\.",Ta="("+eu+")+",fc="^"+Ta+"$",vf="("+Ta+",)*"+Ta,hc="^"+vf+"$",wf=class{constructor(r=-1){this.symbolToIndices=new Map,this.inputIndex=r}addSymbol(r,s){let u=this.symbolToIndices.get(r);u===void 0?u=[s]:u.push(s),this.symbolToIndices.set(r,u)}},bf=class{constructor(r,s){var g;this.equation=s,this.hasEllipsis=!1,this.symbolToInfo=new Map,this.lhs=new Array,this.outputDims=[];let[u,f]=s.includes("->")?s.split("->",2):[s,""];if(!u.match(RegExp(hc)))throw new Error("Invalid LHS term");if(u.split(",").forEach((w,m)=>{let P=r[m].dims.slice();if(!w.match(RegExp(fc)))throw new Error("Invalid LHS term");let F=this.processTerm(w,!0,P,m);this.lhs.push(F)}),f==="")f+=[...this.symbolToInfo.entries()].filter(([w,m])=>m.count===1||w==="...").map(([w])=>w).join("");else if(!f.match(RegExp(Ta)))throw new Error("Invalid RHS");(g=f.match(RegExp(eu,"g")))==null||g.forEach(w=>{if(w==="...")this.outputDims=this.outputDims.concat(this.ellipsisDims);else{let m=this.symbolToInfo.get(w);if(m===void 0)throw new Error("Invalid RHS symbol");this.outputDims.push(m.dimValue)}}),this.rhs=this.processTerm(f,!1,this.outputDims)}addSymbol(r,s,u){let f=this.symbolToInfo.get(r);if(f!==void 0){if(f.dimValue!==s&&f.count!==1)throw new Error("Dimension mismatch");f.count++,f.inputIndices.push(u)}else f={count:1,dimValue:s,inputIndices:[u]};this.symbolToInfo.set(r,f)}processTerm(r,s,u,f=-1){let g=u.length,w=!1,m=[],P=0;if(!r.match(RegExp(fc))&&!s&&r!=="")throw new Error("Invalid LHS term");let F=r.match(RegExp(eu,"g")),O=new wf(f);return F==null||F.forEach((Y,Q)=>{if(Y==="..."){if(w)throw new Error("Only one ellipsis is allowed per input term");w=!0;let S=g-F.length+1;if(S<0)throw new Error("Ellipsis out of bounds");if(m=u.slice(P,P+S),this.hasEllipsis){if(this.ellipsisDims.length!==m.length||this.ellipsisDims.toString()!==m.toString())throw new Error("Ellipsis dimensions mismatch")}else if(s)this.hasEllipsis=!0,this.ellipsisDims=m;else throw new Error("Ellipsis must be specified in the LHS");for(let ie=0;ie<m.length;ie++){let ce=String.fromCharCode(48+ie);O.addSymbol(ce,Q+ie),this.addSymbol(ce,u[P++],f)}}else O.addSymbol(Y,Q+(this.hasEllipsis?this.ellipsisDims.length-1:0)),this.addSymbol(Y,u[P++],f)}),O}},tu=r=>r+"_max",xf=(r,s,u,f)=>{let g=r.map(O=>O.length).map((O,Y)=>Bt(`input${Y}`,s,O)),w=mt.size(f),m=vn("output",s,f.length),P=[...u.symbolToInfo.keys()].filter(O=>!u.rhs.symbolToIndices.has(O)),F=O=>{let Y=[],Q="var prod = 1.0;",S="var sum = 0.0;",ie="sum += prod;",ce=[],pe=[],ke=[],Pe=[],be=u.symbolToInfo.size===u.rhs.symbolToIndices.size;u.symbolToInfo.forEach((ze,Ge)=>{var zt;if(u.rhs.symbolToIndices.has(Ge)){let It=(zt=u.rhs.symbolToIndices.get(Ge))==null?void 0:zt[0];It!==void 0&&u.lhs.forEach((Ht,pn)=>{if(ze.inputIndices.includes(pn)){let wn=Ht.symbolToIndices.get(Ge);if(wn===void 0)throw new Error("Invalid symbol error");wn.forEach(Xn=>{Y.push(`${g[pn].indicesSet(`input${pn}Indices`,Xn,m.indicesGet("outputIndices",It))}`)})}})}else u.lhs.forEach((It,Ht)=>{if(ze.inputIndices.includes(Ht)){let pn=It.symbolToIndices.get(Ge);if(pn===void 0)throw new Error("Invalid symbol error");pn.forEach(wn=>{ce.push(`${g[Ht].indicesSet(`input${Ht}Indices`,wn,`${Ge}`)}`)}),Pe.push(`prod *= ${g[Ht].getByIndices(`input${Ht}Indices`)};`)}}),pe.push(`for(var ${Ge}: u32 = 0; ${Ge} < uniforms.${tu(Ge)}; ${Ge}++) {`),ke.push("}")});let We=be?[...Y,`let sum = ${g.map((ze,Ge)=>ze.getByIndices(`input${Ge}Indices`)).join(" * ")};`]:[...Y,S,...pe,...ce,Q,...Pe,ie,...ke];return`
            ${O.registerUniforms(P.map(ze=>({name:`${tu(ze)}`,type:"u32"}))).registerUniform("outputSize","u32").declareVariables(...g,m)}

            ${O.mainStart()}
            ${O.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
            var outputIndices = ${m.offsetToIndices("global_idx")};
            ${g.map((ze,Ge)=>`var input${Ge}Indices: ${g[Ge].type.indices};`).join(`
`)}
            ${We.join(`
`)};
            ${m.setByOffset("global_idx","sum")};
          }`};return{name:"Einsum",shaderCache:{hint:u.equation,inputDependencies:r.map(()=>"rank")},getRunData:()=>{let O=P.filter(Q=>u.symbolToInfo.has(Q)).map(Q=>{var S;return{type:12,data:((S=u.symbolToInfo.get(Q))==null?void 0:S.dimValue)||0}});O.push({type:12,data:w});let Y=r.map((Q,S)=>[...sn(Q)]).reduce((Q,S)=>Q.concat(S),O);return Y.push(...sn(f)),{outputs:[{dims:f,dataType:s}],dispatchGroup:{x:Math.ceil(w/64)},programUniforms:Y}},getShaderSource:F}},Tf=(r,s)=>{let u=new bf(r.inputs,s.equation),f=u.outputDims,g=r.inputs.map((w,m)=>w.dims);r.compute(xf(g,r.inputs[0].dataType,u,f))},xr=r=>{let s=r.equation.replace(/\s+/g,"");return bn({equation:s})}}),Lp,Mf,pc,kf,Sf,Bp=c(()=>{Pn(),Mn(),Vn(),Lp=r=>{if(!r||r.length!==2)throw new Error("Expand requires 2 input.");let s=r[0].dims,u=Array.from(r[1].getBigInt64Array(),Number),f=u.length<s.length?0:u.length-s.length,g=s.length<u.length?0:s.length-u.length;for(;f<u.length&&g<s.length;++f,++g)if(u[f]!==s[g]&&u[f]!==1&&s[g]!==1)throw new Error("Expand requires shape to be broadcastable to input")},Mf=(r,s)=>{let u=r.length-s.length,f=[];for(let g=0;g<u;++g)f.push(r[g]);for(let g=0;g<s.length;++g)f.push(s[g]===1?r[g+u]:s[g]);return f},pc=(r,s)=>r.length>s.length?Mf(r,s):Mf(s,r),kf=r=>{let s=r[0].dims,u=Array.from(r[1].getBigInt64Array(),Number),f=pc(s,u),g=r[0].dataType,w=g===9?4:1,m=Math.ceil(mt.size(f)/w),P=O=>{let Y=Bt("input",g,s.length,w),Q=vn("output",g,f.length,w),S;if(g===9){let ie=(ce,pe,ke="")=>`
          let outputIndices${pe} = ${Q.offsetToIndices(`outputOffset + ${pe}u`)};
          let offset${pe} = ${Y.broadcastedIndicesToOffset(`outputIndices${pe}`,Q)};
          let index${pe} = offset${pe} / 4u;
          let component${pe} = offset${pe} % 4u;
          ${ce}[${pe}] = ${ke}(${Y.getByOffset(`index${pe}`)}[component${pe}]);
        `;S=`
        let outputOffset = global_idx * ${w};
        var data = vec4<u32>(0);
        ${ie("data",0,"u32")}
        ${ie("data",1,"u32")}
        ${ie("data",2,"u32")}
        ${ie("data",3,"u32")}
        ${Q.setByOffset("global_idx","data")}
      }`}else S=`
        let outputIndices = ${Q.offsetToIndices("global_idx")};
        let inputOffset = ${Y.broadcastedIndicesToOffset("outputIndices",Q)};
        ${Q.setByOffset("global_idx",Y.getByOffset("inputOffset"))}
      }`;return`
    ${O.registerUniform("vec_size","u32").declareVariables(Y,Q)}
    ${O.mainStart()}
    ${O.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
    ${S}`},F=[{type:12,data:m},...sn(s,f)];return{name:"Expand",shaderCache:{hint:`${f.length}`,inputDependencies:["rank"]},getShaderSource:P,getRunData:()=>({outputs:[{dims:f,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:F})}},Sf=r=>{Lp(r.inputs),r.compute(kf(r.inputs),{inputs:[0]})}}),Ef,mc,Cf=c(()=>{Pn(),Mn(),Vn(),zu(),Ef=r=>{let s=r[0].dataType,u=mt.size(r[0].dims),f=mt.size(r[1].dims),g=f%4===0,w=m=>{let P=Bt("x",s,[1],4),F=Bt("bias",s,[1],4),O=vn("y",s,[1],4),Y=[{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}],Q=ie=>`
      let bias${ie}_offset: u32 = (global_idx * 4 + ${ie}) % uniforms.bias_size;
      let bias${ie} = ${F.getByOffset(`bias${ie}_offset / 4`)}[bias${ie}_offset % 4];`,S=g?`
      let bias = ${F.getByOffset("global_idx % (uniforms.bias_size / 4)")};`:`${Q(0)}${Q(1)}${Q(2)}${Q(3)}
      let bias = ${P.type.value}(bias0, bias1, bias2, bias3);`;return`${m.registerUniforms(Y).declareVariables(P,F,O)}

    ${Fu(ur(s))}

    ${m.mainStart(Ii)}
      ${m.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_vec_size")}

      let x = ${P.getByOffset("global_idx")};
      ${S}
      let x_in = x + bias;
      ${O.setByOffset("global_idx",Ou("x_in"))}
    }`};return{name:"FastGeluWithBias",shaderCache:{hint:`${g}`,inputDependencies:["type","type"]},getShaderSource:w,getRunData:m=>({outputs:[{dims:m[0].dims,dataType:m[0].dataType}],programUniforms:[{type:12,data:Math.ceil(u/4)},{type:12,data:f}],dispatchGroup:{x:Math.ceil(u/Ii/4)}})}},mc=r=>{r.inputs.length<2||mt.size(r.inputs[1].dims)===0?Du(r):r.compute(Ef(r.inputs))}}),Pf,Af,gc,Np,o_=c(()=>{Pn(),Mn(),Bn(),Vn(),Pf=r=>{if(!r||r.length!==2)throw new Error("Gather requires 2 inputs.")},Af=(r,s)=>{let u=r[0].dims,f=r[1].dims,g=u.length,w=mt.normalizeAxis(s.axis,g),m=u.slice(0);m.splice(w,1,...f);let P=u[w],F=r[0].dataType===9?4:1,O=Math.ceil(mt.size(m)/F),Y=[{type:12,data:O},{type:6,data:P},{type:12,data:w},...sn(r[0].dims,r[1].dims,m)],Q=S=>{let ie=Bt("data",r[0].dataType,r[0].dims.length,F),ce=Bt("inputIndices",r[1].dataType,r[1].dims.length),pe=vn("output",r[0].dataType,m.length,F),ke=be=>{let We=f.length,ze=`var indicesIndices${be}  = ${ce.type.indices}(0);`;for(let Ge=0;Ge<We;Ge++)ze+=`${We>1?`indicesIndices${be}[${Ge}]`:`indicesIndices${be}`} = ${m.length>1?`outputIndices${be}[uniforms.axis + ${Ge}]`:`outputIndices${be}`};`;ze+=`
          var idx${be} = ${ce.getByIndices(`indicesIndices${be}`)};
          if (idx${be} < 0) {
            idx${be} = idx${be} + uniforms.axisDimLimit;
          }
          var dataIndices${be} : ${ie.type.indices};
        `;for(let Ge=0,zt=0;Ge<g;Ge++)Ge===w?(ze+=`${g>1?`dataIndices${be}[${Ge}]`:`dataIndices${be}`} = u32(idx${be});`,zt+=We):(ze+=`${g>1?`dataIndices${be}[${Ge}]`:`dataIndices${be}`} = ${m.length>1?`outputIndices${be}[${zt}]`:`outputIndices${be}`};`,zt++);return ze},Pe;if(r[0].dataType===9){let be=(We,ze,Ge="")=>`
          let outputIndices${ze} = ${pe.offsetToIndices(`outputOffset + ${ze}u`)};
          ${ke(ze)};
          let offset${ze} = ${ie.indicesToOffset(`dataIndices${ze}`)};
          let index${ze} = offset${ze} / 4u;
          let component${ze} = offset${ze} % 4u;
          ${We}[${ze}] = ${Ge}(${ie.getByOffset(`index${ze}`)}[component${ze}]);
        `;Pe=`
        let outputOffset = global_idx * ${F};
        var value = vec4<u32>(0);
        ${be("value",0,"u32")}
        ${be("value",1,"u32")}
        ${be("value",2,"u32")}
        ${be("value",3,"u32")}
        ${pe.setByOffset("global_idx","value")}
      `}else Pe=`
      let outputIndices = ${pe.offsetToIndices("global_idx")};
      ${ke("")};
      let value = ${ie.getByIndices("dataIndices")};
      ${pe.setByOffset("global_idx","value")};
      `;return`
      ${S.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(ie,ce,pe)}
      ${S.mainStart()}
        ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        ${Pe}
      }`};return{name:"Gather",shaderCache:{hint:s.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:m,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(O/64)},programUniforms:Y}),getShaderSource:Q}},gc=r=>bn({axis:r.axis}),Np=(r,s)=>{let u=r.inputs;Pf(u),r.compute(Af(r.inputs,s))}}),$f,If,Ff,Of,jp=c(()=>{Pn(),Mn(),Bn(),Vn(),$f=(r,s)=>{if(r.length<3||r.length>4)throw new Error("GatherBlockQuantized requires 3 or 4 inputs.");let u=mt.normalizeAxis(s.quantizeAxis,r[0].dims.length),f=s.blockSize,g=r[0],w=r[2],m=r.length===4?r[3]:void 0;if(w.dims.length!==g.dims.length||!g.dims.map((P,F)=>F===u?Math.ceil(P/f)===w.dims[F]:P===w.dims[F]).reduce((P,F)=>P&&F,!0))throw new Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(m){if(m.dataType!==g.dataType)throw new Error("Zero point must have the same data type as the input tensor.");if(m.dims.length!==w.dims.length||!m.dims.map((P,F)=>P===w.dims[F]).reduce((P,F)=>P&&F,!0))throw new Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},If=(r,s)=>{let u=r[0].dims,f=r[1].dims,g=u.length,w=mt.normalizeAxis(s.gatherAxis,g),m=mt.normalizeAxis(s.quantizeAxis,g),P=u.slice(0);P.splice(w,1,...f);let F=mt.size(P),O=r[2].dataType,Y=r[0].dataType===22,Q=[{type:12,data:F},{type:12,data:m},{type:12,data:w},{type:12,data:s.blockSize},...sn(...r.map((ie,ce)=>ie.dims),P)],S=ie=>{let ce=Bt("data",r[0].dataType,r[0].dims.length),pe=Bt("inputIndices",r[1].dataType,r[1].dims.length),ke=Bt("scales",r[2].dataType,r[2].dims.length),Pe=r.length>3?Bt("zeroPoint",r[3].dataType,r[3].dims.length):void 0,be=vn("output",O,P.length),We=[ce,pe,ke];Pe&&We.push(Pe);let ze=[{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}];return`
        ${ie.registerUniforms(ze).declareVariables(...We,be)}
        ${ie.mainStart()}
        let output_indices = ${be.offsetToIndices("global_idx")};
        var indices_indices = ${pe.type.indices}(0);
        ${f.length>1?`
          for (var i: u32 = 0; i < ${f.length}; i++) {
            let index = ${be.indicesGet("output_indices","uniforms.gather_axis + i")};
            ${pe.indicesSet("indices_indices","i","index")};
          }`:`indices_indices = ${be.indicesGet("output_indices","uniforms.gather_axis")};`};
        var data_indices = ${ce.type.indices}(0);
        for (var i: u32 = 0; i < uniforms.gather_axis; i++) {
          let index = ${be.indicesGet("output_indices","i")};
          ${ce.indicesSet("data_indices","i","index")};
        }
        var index_from_indices = ${pe.getByIndices("indices_indices")};
        if (index_from_indices < 0) {
          index_from_indices += ${u[w]};
        }
        ${ce.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")};
        for (var i = uniforms.gather_axis + 1; i < ${P.length}; i++) {
          let index = ${be.indicesGet("output_indices",`i + ${f.length} - 1`)};
          ${ce.indicesSet("data_indices","i","index")};
        }
        let data_offset = ${ce.indicesToOffset("data_indices")};
        let data_index = data_offset % 8;
        // Convert 4-bit packed data to 8-bit packed data.
        let packed_4bit_quantized_data = ${ce.getByOffset("data_offset / 8")};
        let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f;
        let quantized_data_vec = ${Y?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_quantized_data));
        let quantized_data = quantized_data_vec[data_index / 2];
        var scale_indices = data_indices;
        let quantize_axis_index = ${ke.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size;
        ${ke.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")};
        var scale = ${ke.getByIndices("scale_indices")};
        ${Pe?`
              let zero_point_indices = scale_indices;
              let zero_point_offset = ${Pe.indicesToOffset("zero_point_indices")};
              let zero_point_index = zero_point_offset % 8;
              let packed_4bit_zero_points = ${Pe.getByOffset("zero_point_offset / 8")};
              let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f;
              let zero_point_vec = ${Y?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points));
              let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"};
        let dequantized_data = ${ur(O)}(quantized_data - zero_point) * scale;
        ${be.setByOffset("global_idx","dequantized_data")};
    }`};return{name:"GatherBlockQuantized",shaderCache:{hint:`${s.cacheKey};${r.filter((ie,ce)=>ce!==1).map(ie=>ie.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:r.length},(ie,ce)=>"rank")},getRunData:()=>({outputs:[{dims:P,dataType:O}],dispatchGroup:{x:Math.ceil(F/64)},programUniforms:Q}),getShaderSource:S}},Ff=(r,s)=>{let u=r.inputs;$f(u,s),r.compute(If(r.inputs,s))},Of=r=>bn({blockSize:r.blockSize,gatherAxis:r.gatherAxis,quantizeAxis:r.quantizeAxis})}),Df,zf,Rf,Lf,Vp=c(()=>{Pn(),Mn(),Bn(),Vn(),Df=r=>{if(!r||r.length!==2)throw new Error("GatherElements requires 2 inputs.");if(r[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(r[0].dims.length!==r[1].dims.length)throw new Error(`GatherElements requires that the data input and
                     indices input tensors be of same rank.`)},zf=(r,s)=>{let u=r[0].dims,f=r[0].dataType,g=u.length,w=r[1].dims,m=r[1].dataType,P=mt.normalizeAxis(s.axis,g),F=u[P],O=w.slice(0),Y=mt.size(O),Q=Bt("input",f,g),S=Bt("indicesInput",m,w.length),ie=vn("output",f,O.length),ce=[{type:12,data:Y},{type:6,data:F},{type:12,data:P}];return ce.push(...sn(u,w,O)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:O,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(Y/64)},programUniforms:ce}),getShaderSource:pe=>`
      ${pe.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(Q,S,ie)}
      ${pe.mainStart()}
      ${pe.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

      let outputIndices = ${ie.offsetToIndices("global_idx")};

      var idx = ${S.getByOffset("global_idx")};
      if (idx < 0) {
        idx = idx + uniforms.axisDimLimit;
      }
      var inputIndices = ${Q.type.indices}(outputIndices);
      ${Q.indicesSet("inputIndices","uniforms.axis","u32(idx)")};
      let value = ${Q.getByIndices("inputIndices")};

      ${ie.setByOffset("global_idx","value")};
  }`}},Rf=r=>bn({axis:r.axis}),Lf=(r,s)=>{let u=r.inputs;Df(u),r.compute(zf(r.inputs,s))}}),Bf,Nf,jf,Vf,Up=c(()=>{Pn(),Mn(),Vn(),Bf=r=>{if(!r)throw new Error("Input is missing");if(r.length<2||r.length>3)throw new Error("Invaid input number.");if(r.length===3&&r[2].dims.length>2)throw new Error("Invalid input shape of C");if(r[0].dataType!==r[1].dataType||r.length===3&&r[0].dataType!==r[2].dataType)throw new Error("Input types are mismatched")},Nf=(r,s)=>{let u=r[0].dims.slice(),f=r[1].dims.slice(),[g,w,m]=tr.getShapeOfGemmResult(u,s.transA,f,s.transB,r.length===3?r[2].dims:void 0),P=[g,w];if(!P)throw new Error("Can't use gemm on the given tensors");let F=mt.size(P),O=[{type:12,data:F},{type:12,data:g},{type:12,data:w},{type:12,data:m},{type:1,data:s.alpha},{type:1,data:s.beta}],Y=["type","type"];r.length===3&&(O.push(...sn(r[2].dims)),Y.push("rank")),O.push(...sn(P));let Q=S=>{let ie="";s.transA&&s.transB?ie="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":s.transA&&!s.transB?ie="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!s.transA&&s.transB?ie="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!s.transA&&!s.transB&&(ie="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let ce=s.alpha===1?"":"value *= uniforms.alpha;",pe=Bt("a",r[0].dataType,r[0].dims),ke=Bt("b",r[1].dataType,r[1].dims),Pe=pe.type.value,be=null,We=[pe,ke];r.length===3&&(be=Bt("c",r[2].dataType,r[2].dims.length),We.push(be));let ze=vn("output",r[0].dataType,P.length);We.push(ze);let Ge=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}];return`
  ${S.registerUniforms(Ge).declareVariables(...We)}

  ${S.mainStart()}
    ${S.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let m = global_idx / uniforms.N;
    let n = global_idx % uniforms.N;

    var value = ${Pe}(0);
    for (var k: u32 = 0u; k < uniforms.K; k++) {
      ${ie}
    }

    ${ce}
    ${be!=null?`let cOffset = ${be.broadcastedIndicesToOffset("vec2(m, n)",ze)}; value += ${Pe}(uniforms.beta) * ${be.getByOffset("cOffset")};`:""}
    output[global_idx] = value;
  }`};return{name:"Gemm",shaderCache:{hint:`${s.cacheKey}`,inputDependencies:Y},getRunData:()=>({outputs:[{dims:P,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(F/64)},programUniforms:O}),getShaderSource:Q}},jf=r=>{let s=r.transA,u=r.transB,f=r.alpha,g=r.beta;return{transA:s,transB:u,alpha:f,beta:g,cacheKey:`${r.transA};${r.transB};${r.alpha===1}`}},Vf=(r,s)=>{Bf(r.inputs),r.compute(Nf(r.inputs,s))}}),zi,Wp,_c,yc,Uf,sl,Wf,Gf=c(()=>{Pn(),Mn(),Bn(),ye(),qe(),Vn(),yo(),zi=(r,s)=>r.length>s&&r[s].dims.length>0?r[s]:void 0,Wp=(r,s)=>{let u=r[0],f=zi(r,1),g=zi(r,2),w=zi(r,3),m=zi(r,4),P=zi(r,5),F=zi(r,6),O=zi(r,7);if(u.dims.length!==3&&u.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let Y=u.dims[0],Q=u.dims[1],S=u.dims.length===3?u.dims[2]:s.numHeads*u.dims[4],ie=Q,ce=0,pe=0,ke=Math.floor(S/s.numHeads);if(F&&O&&mt.size(F.dims)&&mt.size(O.dims)){if(F.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(F.dims[0]!==Y||F.dims[1]!==s.numHeads||F.dims[3]!==ke)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(O.dims[0]!==Y||O.dims[1]!==s.numHeads||O.dims[3]!==ke)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(F.dims[2]!==O.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(O.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');ce=F.dims[2],pe=F.dims[2]}else if(F&&mt.size(F.dims)||O&&mt.size(O.dims))throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let Pe;if(f&&mt.size(f.dims)>0){if(u.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(f.dims.length<3||f.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(u.dims[0]!==f.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(f.dims.length===3){if(f.dims[2]!==u.dims[2])throw new Error('Input "query" and "key" shall have same dim 2 (hidden_size)');Pe=2,ie=f.dims[1]}else if(f.dims.length===5){if(f.dims[2]!==s.numHeads||f.dims[3]!==2||f.dims[4]!==ke)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(g)throw new Error('Expect "value" be none when "key" has packed kv format.');Pe=5,ie=f.dims[1]}else{if(f.dims[1]!==s.numHeads||f.dims[3]!==ke)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');Pe=0,ie=f.dims[2]}}else{if(u.dims.length!==5)throw new Error('Input "query" is expected to have 5 dimensions when key is empty');if(u.dims[2]!==s.numHeads||u.dims[3]!==3)throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');Pe=3}if(w&&mt.size(w.dims)>0){if(w.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimension');if(f&&f.dims.length===5&&f.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let be=ce+ie,We=0;if(m&&mt.size(m.dims)>0){We=8;let It=m.dims;throw It.length===1?It[0]===Y?We=1:It[0]===3*Y+2&&(We=3):It.length===2&&It[0]===Y&&It[1]===be&&(We=5),We===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):new Error("Mask not supported")}let ze=!1,Ge=S;if(g&&mt.size(g.dims)>0){if(g.dims.length!==3&&g.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(u.dims[0]!==g.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(g.dims.length===3){if(ie!==g.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');Ge=g.dims[2]}else{if(ie!==g.dims[2])throw new Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');Ge=g.dims[1]*g.dims[3],ze=!0}}let zt=!1;if(m&&mt.size(m.dims)>0)throw new Error("Key padding mask is not supported");if(P&&mt.size(P.dims)>0){if(P.dims.length!==4)throw new Error('Input "attention_bias" is expected to have 4 dimensions');if(P.dims[0]!==Y||P.dims[1]!==s.numHeads||P.dims[2]!==Q||P.dims[3]!==be)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:Y,sequenceLength:Q,pastSequenceLength:ce,kvSequenceLength:ie,totalSequenceLength:be,maxSequenceLength:pe,inputHiddenSize:0,hiddenSize:S,vHiddenSize:Ge,headSize:ke,vHeadSize:Math.floor(Ge/s.numHeads),numHeads:s.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:s.maskFilterValue,maskType:We,scale:s.scale,broadcastResPosBias:zt,passPastInKv:ze,qkvFormat:Pe}},_c=r=>bn({...r}),yc=bn({perm:[0,2,1,3]}),Uf=(r,s,u,f,g,w,m)=>{let P=[f,g,w],F=mt.size(P),O=[{type:12,data:F},{type:12,data:m},{type:12,data:w}],Y=Q=>{let S=vn("qkv_with_bias",s.dataType,P),ie=Bt("qkv",s.dataType,P),ce=Bt("bias",u.dataType,P),pe=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`
  ${Q.registerUniforms(pe).declareVariables(ie,ce,S)}
  ${Q.mainStart()}
    ${Q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset;

    qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx];
  }`};return r.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:P,dataType:s.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(F/64)},programUniforms:O}),getShaderSource:Y},{inputs:[s,u],outputs:[-1]})[0]},sl=(r,s,u,f,g,w,m,P)=>{let F=w;if(m&&mt.size(m.dims)>0){if(f===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return F=Uf(r,w,m,s,f,u*g,P),F=F.reshape([s,f,u,g]),r.compute(Oi(F,yc.perm),{inputs:[F],outputs:[-1]})[0]}else return w.dims.length===3&&(F=w.reshape([s,f,u,g])),r.compute(Oi(F,yc.perm),{inputs:[F],outputs:[-1]})[0]},Wf=(r,s)=>{let u=Wp(r.inputs,s),f=r.inputs[0],g=zi(r.inputs,1),w=zi(r.inputs,2),m=zi(r.inputs,3),P=zi(r.inputs,4),F=zi(r.inputs,5),O=zi(r.inputs,6),Y=zi(r.inputs,7);if(f.dims.length===5)throw new Error("Packed QKV is not implemented");if((g==null?void 0:g.dims.length)===5)throw new Error("Packed KV is not implemented");let Q=g&&w&&g.dims.length===4&&w.dims.length===4,S=sl(r,u.batchSize,u.numHeads,u.sequenceLength,u.headSize,f,m,0);if(Q)return Te(r,S,g,w,P,void 0,O,Y,F,u,s);if(!g||!w)throw new Error("key and value must be provided");let ie=sl(r,u.batchSize,u.numHeads,u.kvSequenceLength,u.headSize,g,m,u.hiddenSize),ce=sl(r,u.batchSize,u.numHeads,u.kvSequenceLength,u.vHeadSize,w,m,2*u.hiddenSize);Te(r,S,ie,ce,P,void 0,O,Y,F,u,s)}}),vc,qf,Hf,wc,Kf,Xf=c(()=>{Pn(),Mn(),Vn(),vc=r=>Array.from(r.getBigInt64Array(),Number),qf=r=>{if(!r||r.length!==2)throw new Error("Tile requires 2 inputs.");if(r[0].dataType!==1&&r[0].dataType!==10&&r[0].dataType!==6&&r[0].dataType!==12)throw new Error("Tile only support float, float16, int32, and uint32 data types");if(r[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(r[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(vc(r[1]).length!==r[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},Hf=(r,s)=>{let u=[];for(let f=0;f<r.length;++f)u.push(r[f]*s[f]);return u},wc=(r,s)=>{let u=r[0].dims,f=s??vc(r[1]),g=Hf(u,f),w=mt.size(g),m=r[0].dataType,P=Bt("input",m,u.length),F=vn("output",m,g.length),O=Y=>`
      const inputShape = ${P.indices(...u)};
      ${Y.registerUniform("output_size","u32").declareVariables(P,F)}
      ${Y.mainStart()}
      ${Y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let output_indices = ${F.offsetToIndices("global_idx")};
      var input_indices: ${P.type.indices};
      for (var i = 0; i < ${u.length}; i++) {
        let input_dim_i = ${P.indicesGet("uniforms.input_shape","i")};
        let input_dim_value = ${F.indicesGet("output_indices","i")}  % input_dim_i;

        ${P.indicesSet("input_indices","i","input_dim_value")}
      }
      ${F.setByOffset("global_idx",P.getByIndices("input_indices"))}
    }`;return{name:"Tile",shaderCache:{hint:`${f}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:g,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(w/64)},programUniforms:[{type:12,data:w},...sn(r[0].dims,g)]}),getShaderSource:O}},Kf=r=>{qf(r.inputs),r.compute(wc(r.inputs),{inputs:[0]})}}),Qf,bc,Yf,Zf,xc,Jf,Gp=c(()=>{Pn(),Mn(),Bn(),qe(),Vn(),Gf(),Xf(),yo(),Qf=(r,s)=>{let u=r[0],f=r[1],g=r[2],w=r[3],m=r[4];if(u.dims.length!==3&&u.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let P=!1,F=u.dims[0],O=u.dims[1],Y=u.dims.length===3?P?u.dims[2]/3:u.dims[2]:s.numHeads*u.dims[4],Q=O,S=0,ie=0,ce=Math.floor(Y/s.numHeads),pe=w&&w.dims.length!==0,ke=m&&m.dims.length!==0,Pe=!0;if(pe&&ke){if(w.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(m.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');S=w.dims[1],ie=w.dims[1]}else if(pe||ke)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let be;if(f){if(u.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(f.dims.length<3||f.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(u.dims[0]!==f.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(f.dims.length===3){if(u.dims[2]%f.dims[2]!==0)throw new Error('Dimension 2 of "query" should be a multiple of "key"');be=2,Q=f.dims[1]}else if(f.dims.length===5){if(f.dims[2]!==s.numHeads||f.dims[3]!==2||f.dims[4]!==ce)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(g)throw new Error('Expect "value" be none when "key" has packed kv format.');be=5,Q=f.dims[1]}else{if(f.dims[1]!==s.numHeads||f.dims[3]!==ce)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');be=0,Q=f.dims[2]}}else{if(u.dims.length!==3&&u.dims.length!==5)throw new Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(u.dims.length===5&&(u.dims[2]!==s.numHeads||u.dims[3]!==3))throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');be=3}let We=0,ze=!1,Ge=Y;if(g){if(g.dims.length!==3&&g.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(u.dims[0]!==g.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(g.dims.length===3){if(Q!==g.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');Ge=g.dims[2]}else{if(Q!==g.dims[2])throw new Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');Ge=g.dims[1]*g.dims[3],ze=!0}}let zt=S+Q;return{batchSize:F,sequenceLength:O,pastSequenceLength:S,kvSequenceLength:Q,totalSequenceLength:zt,maxSequenceLength:ie,inputHiddenSize:0,hiddenSize:Y,vHiddenSize:Ge,headSize:ce,vHeadSize:Math.floor(Ge/s.kvNumHeads),numHeads:s.numHeads,kvNumHeads:s.kvNumHeads,nReps:s.numHeads/s.kvNumHeads,pastPresentShareBuffer:!1,maskType:We,scale:s.scale,broadcastResPosBias:!1,passPastInKv:ze,qkvFormat:be,isPastkvBSNH:Pe}},bc=(r,s,u,f)=>{let g=[f.batchSize,f.totalSequenceLength,f.kvNumHeads,f.headSize],w=4,m=mt.size(g)/w,P=f.totalSequenceLength,F=vn("present_kv",u,g.length,w),O=Bt("new_kv",r.dataType,r.dims.length,w),Y=s?Bt("past_kv",s.dataType,s.dims.length,w):void 0,Q=Math.ceil(f.headSize/w),S={x:P,y:r.dims[0],z:1},ie=s?["rank","rank"]:["rank"],ce=[{type:12,data:m},{type:12,data:f.pastSequenceLength},{type:12,data:f.kvSequenceLength},{type:12,data:f.totalSequenceLength}],pe=[O];Y?(ce.push(...sn(r.dims),...sn(s.dims),...sn(g)),pe.push(Y)):ce.push(...sn(r.dims),...sn(g));let ke=[{name:"output_size",type:"u32"},{name:"past_seqlen",type:"u32"},{name:"new_seqlen",type:"u32"},{name:"present_seqlen",type:"u32"}],Pe=`      let past_batch_stride = uniforms.past_seqlen * num_heads * H;
        var past_head_stride = uniforms.past_seqlen * H;
        if (is_bsnh) {
          past_head_stride = H;
        }
        let in_offset = b * past_batch_stride + s * row_stride + n * past_head_stride + h;
        present_kv[out_offset] = past_kv[in_offset];`,be=`      let new_batch_stride = uniforms.new_seqlen * num_heads * H;
        let new_row_stride = num_heads * H;
        let new_head_stride = H;
        let in_offset = b * new_batch_stride + (s - past_seqlen) * new_row_stride + n * new_head_stride + h;
        present_kv[out_offset] = new_kv[in_offset];`,We=s?`if (s < past_seqlen) {
        ${Pe}
        } else if (s < past_seqlen + uniforms.new_seqlen) {
        ${be}
        }`:`if (s < past_seqlen + uniforms.new_seqlen) {
          ${be}
        }`,ze=Ge=>`

  ${Ge.registerUniforms(ke).declareVariables(...pe,F)}
  ${Ge.mainStart([Q,f.kvNumHeads,1])}
    ${Ge.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    var indices = ${F.offsetToIndices("global_idx")};
    let h = local_id.x;
    let n = local_id.y;
    let s = workgroup_id.x;
    let b = workgroup_id.y;
    let num_heads = ${f.kvNumHeads}u;
    let H = ${Q}u;

    let present_seqlen = uniforms.present_seqlen;
    let present_batch_stride = present_seqlen * num_heads * H;
    var row_stride = H;
    let is_bsnh = ${f.isPastkvBSNH};

    if (is_bsnh) {
      row_stride = num_heads * H;
    }
    var present_head_stride = present_seqlen * H;
    if (is_bsnh) {
      present_head_stride = H;
    }

    let past_seqlen = uniforms.past_seqlen;

    let out_offset = b * present_batch_stride + s * row_stride + n * present_head_stride + h;
    ${We}
  }`;return{name:"ConcatPastNew",shaderCache:{hint:`${f.kvNumHeads}${Q}${!!s}`,inputDependencies:ie},getRunData:()=>({outputs:[{dims:g,dataType:u}],dispatchGroup:S,programUniforms:ce}),getShaderSource:ze}},Yf=r=>bn({...r}),Zf=bn({perm:[0,2,1,3]}),xc=(r,s,u,f,g)=>{let w=s,m=f.kvNumHeads,P=f.nReps;return s.dims.length===3&&f.kvSequenceLength!==0&&(w=s.reshape([f.batchSize,f.kvSequenceLength,m,f.headSize])),u?w=r.compute(bc(w,u,w.dataType,f),{inputs:[w,u],outputs:[f.isPastkvBSNH?g:-1]})[0]:w=r.compute(bc(w,void 0,w.dataType,f),{inputs:[w],outputs:[f.isPastkvBSNH?g:-1]})[0],P!==1&&(w=r.compute(wc([w],[1,1,1,P]),{inputs:[w],outputs:[-1]})[0],w=w.reshape([f.batchSize,f.totalSequenceLength,m*P,f.headSize])),r.compute(Oi(w,Zf.perm),{inputs:[w],outputs:[-1]})[0]},Jf=(r,s)=>{var F;let u=Qf(r.inputs,s);if(r.inputs[0].dims.length===5)throw new Error("Packed QKV is not implemented");if(((F=r.inputs[1])==null?void 0:F.dims.length)===5)throw new Error("Packed KV is not implemented");let f=sl(r,u.batchSize,u.numHeads,u.sequenceLength,u.headSize,r.inputs[0],void 0,0),g=r.inputs[3]&&r.inputs[3].dims.length!==0?r.inputs[3]:void 0,w=r.inputs[4]&&r.inputs[4].dims.length!==0?r.inputs[4]:void 0,m=xc(r,r.inputs[1],g,u,1),P=xc(r,r.inputs[2],w,u,2);Te(r,f,m,P,void 0,void 0,void 0,void 0,void 0,u,s)}}),eh,th,nh,rh,qp=c(()=>{Pn(),Mn(),Vn(),eh=(r,s)=>{let u=r[0].dims,f=u,g=2,w=mt.sizeToDimension(u,g),m=mt.sizeFromDimension(u,g),P=nr(m),F=m/P,O=[u[0],u[1],F],Y=["rank","type","type"],Q=[{type:12,data:m},{type:12,data:F}];Q.push(...sn(O,O));let S=ie=>{let ce=Bt("x",r[0].dataType,O.length,P),pe=Bt("scale",r[1].dataType,r[1].dims),ke=Bt("bias",r[2].dataType,r[2].dims),Pe=vn("output",r[0].dataType,O.length,P),be=[ce,pe,ke,Pe],We=ce.type.value,ze=P===1?"f32":`vec${P}<f32>`,Ge=64,zt=[{name:"normSize",type:"u32"},{name:"normPackedSize",type:"u32"}];return`
  var<workgroup> meanShared : f32;
  var<workgroup> squaredNormShared : f32;
  var<workgroup> workgroupShared : array<${ze}, ${Ge}>;
  const workgroupSize = ${Ge}u;
  ${ie.registerUniforms(zt).declareVariables(...be)}
  ${ie.mainStart(Ge)}
    let norm = global_idx / workgroupSize;
    let batch = norm / uniforms.x_shape[1];
    let channel = norm % uniforms.x_shape[1];
    let localIndex = local_id.x;

    // initialize workgroup memory
    var initial = ${ze}(0);
    for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {
      initial = initial + ${ze}(${ce.get("batch","channel","h")});
    }
    workgroupShared[localIndex] = initial;
    workgroupBarrier();

    // Calculate the mean of current channel data.
    for (var currSize = workgroupSize >> 1;  currSize > 0; currSize = currSize >> 1) {
      if (localIndex < currSize) {
        workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize];
      }
      workgroupBarrier();
    }
    if (localIndex == 0) {
      meanShared = ${Fi("workgroupShared[0]",P)} / f32(uniforms.normSize);
    }
    workgroupBarrier();

    // reinitialize workgroup memory.
    initial = ${ze}(0);
    for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {
      let deviation =  ${ze}(${ce.get("batch","channel","h")}) - ${ze}(meanShared);
      initial = initial + deviation * deviation;
    }
    workgroupShared[localIndex] = initial;
    workgroupBarrier();

    // Calculate the sum of square of deviation of current channel data.
    for (var currSize = workgroupSize >> 1;  currSize > 0; currSize = currSize >> 1) {
      if (localIndex < currSize) {
        workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize];
      }
      workgroupBarrier();
    }
    if (localIndex == 0) {
      squaredNormShared = ${Fi("workgroupShared[0]",P)};
    }
    workgroupBarrier();

    let invStdDev = inverseSqrt(squaredNormShared / f32(uniforms.normSize) + f32(${s.epsilon}));
    let channelScale = invStdDev * f32(${pe.getByOffset("channel")});
    let channelShift = f32(${ke.getByOffset("channel")}) - meanShared * channelScale;
    for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {
      let value = ${ce.get("batch","channel","h")} * ${We}(${ze}(channelScale)) + ${We}(${ze}(channelShift));
      ${Pe.set("batch","channel","h","value")};
    }
  }`};return{name:"InstanceNormalization",shaderCache:{hint:`${s.epsilon};${P}`,inputDependencies:Y},getRunData:()=>({outputs:[{dims:f,dataType:r[0].dataType}],dispatchGroup:{x:w},programUniforms:Q}),getShaderSource:S}},th=(r,s,u,f,g,w,m,P)=>{let F=nr(m),O=64,Y=F===1?"vec2f":`mat2x${F}f`,Q=F===1?"f32":`vec${F}f`,S=(zt,It)=>`${Y}(${zt}, ${It})`,ie=g*m/F,ce=Math.ceil(w/O),pe=["type"],ke=[{type:12,data:ce},{type:12,data:w},{type:12,data:Math.floor(m/F)},{type:12,data:Math.floor(w*m/F)}],Pe=zt=>{let It=Bt("input",s.dataType,s.dims,F);return`
  ${zt.declareVariables(It)}
  @group(0) @binding(1) var<storage, read_write> output : array<${Y}>;
  struct Uniforms {wg_size:u32, H:u32, C:u32, image_size:u32};
  @group(0) @binding(2) var<uniform> uniforms: Uniforms;

  ${zt.mainStart(O)}
    let currentImageNumber = global_idx / ${O} / uniforms.C;
    let currentChannelNumber = (global_idx / ${O}) % uniforms.C;
    let wgOffset = local_id.x * uniforms.wg_size;
    if (wgOffset >= uniforms.H) {
        return;
    }
    let wgMax = min(wgOffset + uniforms.wg_size, uniforms.H);

    let offset = currentImageNumber * uniforms.image_size + currentChannelNumber;
    var sum = ${_r("f32",F)};
    var squaredSum = ${_r("f32",F)};
    for (var i: u32 = wgOffset; i < wgMax; i++) {
        let value = ${Q}(input[offset + i * uniforms.C]);
        sum += value;
        squaredSum += value * value;
    }
    output[global_idx] = ${S("sum","squaredSum")};
  }`},be=r.compute({name:"InstanceNormComputeMean",shaderCache:{hint:`${F}`,inputDependencies:pe},getRunData:()=>({outputs:[{dims:[g,m,O,2],dataType:1}],dispatchGroup:{x:g*m/F},programUniforms:ke}),getShaderSource:Pe},{inputs:[s],outputs:[-1]})[0],We=[{type:12,data:ie},{type:12,data:w},{type:12,data:Math.floor(m/F)},{type:12,data:Math.floor(O*m/F)}],ze=["type","type","type"],Ge=zt=>{let It=Bt("scale",u.dataType,u.dims,F),Ht=Bt("bias",f.dataType,f.dims,F);return`
  @group(0) @binding(0) var<storage, read> input : array<${Y}>;
  @group(0) @binding(1) var<storage, read> scale : array<${It.type.storage}>;
  @group(0) @binding(2) var<storage, read> bias : array<${Ht.type.storage}>;
  @group(0) @binding(3) var<storage, read_write> output : array<${Y}>;
  struct Uniforms {units_of_work : u32, H: u32, C : u32, image_size : u32};
  @group(0) @binding(4) var<uniform> uniforms: Uniforms;

  ${zt.mainStart()}
    ${zt.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.units_of_work")}
    let currentImageNumber = global_idx / uniforms.C;
    let currentChannelNumber = global_idx % uniforms.C;

    let offset = currentImageNumber * uniforms.image_size;
    var sum = ${_r("f32",F)};
    var squaredSum = ${_r("f32",F)};
    for (var i: u32 = 0; i < min(${O}, uniforms.H); i++) {
        let value = input[offset + i + currentChannelNumber * ${O}];
        sum += value[0];
        squaredSum += value[1];
    }
    sum = sum / f32(uniforms.H);
    squaredSum = squaredSum / f32(uniforms.H);
    let invStdDev = inverseSqrt(squaredSum - sum * sum + f32(${P}));
    let channelScale = invStdDev * ${Q}(scale[currentChannelNumber]);
    let channelShift = ${Q}(bias[currentChannelNumber]) - sum * channelScale;

    output[global_idx] = ${S("channelScale","channelShift")};
  }`};return r.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${F};${P}`,inputDependencies:ze},getRunData:()=>({outputs:[{dims:[g,m,2],dataType:1}],dispatchGroup:{x:Math.ceil(ie/64)},programUniforms:We}),getShaderSource:Ge},{inputs:[be,u,f],outputs:[-1]})[0]},nh=(r,s,u)=>{let f=s[0].dims,g=f,w=f[0],m=f[f.length-1],P=mt.sizeFromDimension(f,1)/m,F=nr(m),O=mt.size(g)/F,Y=[{type:12,data:P},{type:12,data:Math.floor(m/F)}],Q=["type","type"],S=th(r,s[0],s[1],s[2],w,P,m,u.epsilon),ie=ce=>{let pe=lr(s[0].dataType),ke=F===1?"vec2f":`mat2x${F}f`,Pe=F===1?pe:`vec${F}<${pe}>`,be=Bt("input",s[0].dataType,s[0].dims,F),We=vn("output",s[0].dataType,g,F);return`
  @group(0) @binding(0) var<storage, read> input : array<${be.type.storage}>;
  @group(0) @binding(1) var<storage, read> scaleInput : array<${ke}>;
  @group(0) @binding(2) var<storage, read_write> output : array<${We.type.storage}>;
  struct Uniforms {H: u32, C : u32};
  @group(0) @binding(3) var<uniform> uniforms: Uniforms;

  ${ce.mainStart()}
    let currentImageNumber = global_idx / (uniforms.C * uniforms.H);
    let currentChannelNumber = global_idx % uniforms.C;

    let scaleOffset = currentImageNumber * uniforms.C + currentChannelNumber;
    let scale = scaleInput[scaleOffset];
    output[global_idx] = fma(input[global_idx], ${Pe}(scale[0]), ${Pe}(scale[1]));
  }`};r.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${F}`,inputDependencies:Q},getRunData:()=>({outputs:[{dims:g,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(O/64)},programUniforms:Y}),getShaderSource:ie},{inputs:[s[0],S]})},rh=(r,s)=>{s.format==="NHWC"?nh(r,r.inputs,s):r.compute(eh(r.inputs,s))}}),ih,sh,oh,a_=c(()=>{Pn(),Mn(),Vn(),ih=r=>{if(!r||r.length<2)throw new Error("layerNorm requires at least 2 inputs.")},sh=(r,s,u)=>{let f=s.simplified,g=r[0].dims,w=r[1],m=!f&&r[2],P=g,F=mt.normalizeAxis(s.axis,g.length),O=mt.sizeToDimension(g,F),Y=mt.sizeFromDimension(g,F),Q=mt.size(w.dims),S=m?mt.size(m.dims):0;if(Q!==Y||m&&S!==Y)throw new Error(`Size of X.shape()[axis:] == ${Y}.
       Size of scale and bias (if provided) must match this.
       Got scale size of ${Q} and bias size of ${S}`);let ie=[];for(let Ge=0;Ge<g.length;++Ge)Ge<F?ie.push(g[Ge]):ie.push(1);let ce=nr(Y),pe=["type","type"],ke=[{type:12,data:O},{type:1,data:Y},{type:12,data:Math.floor(Y/ce)},{type:1,data:s.epsilon}];m&&pe.push("type");let Pe=u>1,be=u>2,We=Ge=>{let zt=lr(r[0].dataType),It=[Bt("x",r[0].dataType,r[0].dims,ce),Bt("scale",w.dataType,w.dims,ce)];m&&It.push(Bt("bias",m.dataType,m.dims,ce)),It.push(vn("output",r[0].dataType,P,ce)),Pe&&It.push(vn("mean_data_output",1,ie)),be&&It.push(vn("inv_std_output",1,ie));let Ht=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`
  ${Ge.registerUniforms(Ht).declareVariables(...It)}
  ${Ge.mainStart()}
    ${Ge.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}
    let offset = global_idx * uniforms.norm_size_vectorized;
    var mean_vector = ${_r("f32",ce)};
    var mean_square_vector = ${_r("f32",ce)};

    for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {
      let value = ${Fr(zt,ce,"x[h + offset]")};
      mean_vector += value;
      mean_square_vector += value * value;
    }
    let mean = ${Fi("mean_vector",ce)} / uniforms.norm_size;
    let inv_std_dev = inverseSqrt(${Fi("mean_square_vector",ce)} / uniforms.norm_size ${f?"":"- mean * mean"} + uniforms.epsilon);

    for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {
      let f32input = ${Fr(zt,ce,"x[j + offset]")};
      let f32scale = ${Fr(zt,ce,"scale[j]")};
      output[j + offset] = ${It[0].type.value}((f32input ${f?"":"- mean"}) * inv_std_dev * f32scale
        ${m?`+ ${Fr(zt,ce,"bias[j]")}`:""}
      );
    }

    ${Pe?"mean_data_output[global_idx] = mean":""};
    ${be?"inv_std_output[global_idx] = inv_std_dev":""};
  }`},ze=[{dims:P,dataType:r[0].dataType}];return Pe&&ze.push({dims:ie,dataType:1}),be&&ze.push({dims:ie,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${ce};${u};${f}`,inputDependencies:pe},getRunData:()=>({outputs:ze,dispatchGroup:{x:Math.ceil(O/64)},programUniforms:ke}),getShaderSource:We}},oh=(r,s)=>{ih(r.inputs),r.compute(sh(r.inputs,s,r.outputCount))}}),Jn,ah,hi,vi,Ri=c(()=>{Pn(),Mn(),Bn(),Vn(),Jn=(r,s)=>{if(r.length<3||r.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let u=r[0],f=u.dims.length;if(u.dims[f-1]!==s.k)throw new Error("The last dim of input shape does not match the k value");let g=Math.floor((s.k+s.blockSize-1)/s.blockSize),w=s.blockSize/8*s.bits,m=r[1];if(!mt.areEqual(m.dims,[s.n,g,w]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let P=r[2].dims;if(mt.size(P)!==s.n*g)throw new Error("scales input size error.");if(r.length===4){let F=r[3].dims,O=s.bits>4?s.n*g:s.n*Math.floor((g+1)/2);if(mt.size(F)!==O)throw new Error("zeroPoints input size error.")}},ah=(r,s)=>{let u=r[0].dims,f=u.length,g=u[f-2],w=s.k,m=s.n,P=u.slice(0,f-2),F=mt.size(P),O=r[1].dims[2]/4,Y=r[0].dataType,Q=nr(s.k),S=nr(O),ie=nr(m),ce=P.concat([g,m]),pe=g>1&&m/ie%2===0?2:1,ke=mt.size(ce)/ie/pe,Pe=64,be=[],We=[F,g,w/Q],ze=mt.convertShape(r[1].dims).slice();ze.splice(-1,1,O/S),be.push(...sn(We)),be.push(...sn(ze)),be.push(...sn(r[2].dims)),r.length===4&&be.push(...sn(mt.convertShape(r[3].dims)));let Ge=[F,g,m/ie];be.push(...sn(Ge));let zt=It=>{let Ht=We.length,pn=Bt("a",r[0].dataType,Ht,Q),wn=Bt("b",12,ze.length,S),Xn=Bt("scales",r[2].dataType,r[2].dims.length),ar=[pn,wn,Xn],Dn=r.length===4?Bt("zero_points",12,r[3].dims.length):void 0;Dn&&ar.push(Dn);let Cr=Ge.length,Vr=vn("output",r[0].dataType,Cr,ie),fr=lr(r[0].dataType),Or=(()=>{switch(Q){case 1:return`array<${fr}, 8>`;case 2:return`mat4x2<${fr}>`;case 4:return`mat2x4<${fr}>`;default:throw new Error(`${Q}-component is not supported.`)}})(),Fn=()=>{let Ft=`
          // reuse a data
            var input_offset = ${pn.indicesToOffset(`${pn.type.indices}(batch, row, word_offset)`)};
            var a_data: ${Or};
            for (var j: u32 = 0; j < ${8/Q}; j++) {
              a_data[j] = ${pn.getByOffset("input_offset")};
              input_offset++;
            }
          `;for(let an=0;an<ie*pe;an++)Ft+=`
            b_value = ${S===1?`b${an}_data`:`b${an}_data[i]`};
            b_value_lower = unpack4xU8(b_value & b_mask);
            b_value_upper = unpack4xU8((b_value >> 4) & b_mask);
            b_quantized_values = ${Or}(${Array.from({length:4},(Nn,Pr)=>`${fr}(b_value_lower[${Pr}]), ${fr}(b_value_upper[${Pr}])`).join(", ")});
            b_dequantized_values = ${Q===1?`${Or}(${Array.from({length:8},(Nn,Pr)=>`(b_quantized_values[${Pr}] - ${Dn?`zero_point${an}`:"zero_point"}) * scale${an}`).join(", ")});`:`(b_quantized_values - ${Or}(${Array(8).fill(`${Dn?`zero_point${an}`:"zero_point"}`).join(",")})) * scale${an};`};
            workgroup_shared[local_id.x * ${pe} + ${Math.floor(an/ie)}]${ie>1?`[${an%ie}]`:""} += ${Array.from({length:8/Q},(Nn,Pr)=>`${Q===1?`a_data[${Pr}] * b_dequantized_values[${Pr}]`:`dot(a_data[${Pr}], b_dequantized_values[${Pr}])`}`).join(" + ")};
          `;return Ft},sr=()=>{let Ft=`
            var col_index = col * ${ie};
            ${Dn?`
            let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2;
            var zero_point_byte_count: u32;
            var zero_point_word_index: u32;
            var zero_point_byte_offset: u32;
            let zero_point_nibble_offset: u32 = block & 0x1u;
            var zero_point_bits_offset: u32;
            var zero_point_word: u32;`:`
            // The default zero point is 8 for unsigned 4-bit quantization.
            let zero_point = ${fr}(8);`}
            `;for(let an=0;an<ie*pe;an++)Ft+=`
            let scale${an} = ${Xn.getByOffset("col_index * nBlocksPerCol + block")};
            ${Dn?`
            zero_point_byte_count = col_index * zero_point_bytes_per_col + (block >> 0x1u);
            zero_point_word_index = zero_point_byte_count >> 0x2u;
            zero_point_byte_offset = zero_point_byte_count & 0x3u;
            zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
            zero_point_word = ${Dn.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
            let zero_point${an} = ${fr}((zero_point_word) & 0xFu);`:""}
            col_index += 1;`;return Ft},vr=()=>{let Ft=`col_index = col * ${ie};`;for(let an=0;an<ie*pe;an++)Ft+=`
            let b${an}_data = ${wn.getByIndices(`${wn.type.indices}(col_index, block, word)`)};
            col_index += 1;`;return Ft+=`
            var b_value: u32;
            let b_mask: u32 = 0x0F0F0F0Fu;
            var b_value_lower: vec4<u32>;
            var b_value_upper: vec4<u32>;
            var b_quantized_values: ${Or};
            var b_dequantized_values: ${Or};`,Ft};return`
        var<workgroup> workgroup_shared: array<${Vr.type.value}, ${pe*Pe}>;
        ${It.declareVariables(...ar,Vr)}
        ${It.mainStart([Pe,1,1])}
          let output_indices = ${Vr.offsetToIndices(`(global_idx / ${Pe}) * ${pe}`)};
          let col = output_indices[2];
          let row = output_indices[1];
          let batch = output_indices[0];
          let nBlocksPerCol = uniforms.b_shape[1];

          for (var block = local_id.x; block < nBlocksPerCol; block += ${Pe}) {
            //process one block
            var word_offset: u32 = block * ${s.blockSize/Q};
            ${sr()}
            for (var word: u32 = 0; word < ${O}; word += ${S}) {
              ${vr()}
              for (var i: u32 = 0; i < ${S}; i++) {
                ${Fn()}
                word_offset += ${8/Q};
              }
            }
          }
          workgroupBarrier();

          if (local_id.x < ${pe}) {
            var output_value: ${Vr.type.value} = ${Vr.type.value}(0);
            var workgroup_shared_offset: u32 = local_id.x;
            for (var b: u32 = 0u; b < ${Pe}u; b++) {
              output_value += workgroup_shared[workgroup_shared_offset];
              workgroup_shared_offset += ${pe};
            }
            ${Vr.setByIndices(`${Vr.type.indices}(batch, row, col + local_id.x)`,"output_value")};
          }
        }`};return{name:"MatMulNBits",shaderCache:{hint:`${s.blockSize};${s.bits};${Q};${S};${ie};${pe};${Pe}`,inputDependencies:Array(r.length).fill("rank")},getRunData:()=>({outputs:[{dims:ce,dataType:Y}],dispatchGroup:{x:ke},programUniforms:be}),getShaderSource:zt}},hi=(r,s)=>{Jn(r.inputs,s),r.compute(ah(r.inputs,s))},vi=r=>bn(r)}),Xo,Hp,lh,uh,H,X,de,De,kt,At=c(()=>{Pn(),Mn(),Vn(),Xo=r=>{if(!r||r.length<1)throw new Error("Too few inputs");if(r[0].dataType!==1&&r[0].dataType!==10)throw new Error("Input type must be float or float16.");if(r.length>=2){let s=r[0].dims.length*2===r[1].dims[0];if(r.length===4&&(s=r[3].dims[0]*2===r[1].dims[0]),!s)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},Hp=(r,s,u)=>{let f="";for(let g=s-1;g>=0;--g)f+=`
            k = i32(${r.indicesGet("indices",g)}) - ${gn("uniforms.pads",g,u)};
            if (k < 0) {
              break;
            }
            if (k >= i32(${gn("uniforms.x_shape",g,s)})) {
              break;
            }
            offset += k * i32(${gn("uniforms.x_strides",g,s)});
        `;return`
          value = ${r.type.value}(uniforms.constant_value);
          for (var i = 0; i < 1; i++) {
            var offset = 0;
            var k = 0;
            ${f}
            value = x[offset];
          }
      `},lh=(r,s,u)=>{let f="";for(let g=s-1;g>=0;--g)f+=`
                k = i32(${r.indicesGet("indices",g)}) - ${gn("uniforms.pads",g,u)};
                if (k < 0) {
                  k = -k;
                }
                {
                  let _2n_1 = 2 * (i32(${gn("uniforms.x_shape",g,s)}) - 1);
                  k = k % _2n_1;
                  if(k >= i32(${gn("uniforms.x_shape",g,s)})) {
                    k = _2n_1 - k;
                  }
                }
                offset += k * i32(${gn("uniforms.x_strides",g,s)});
            `;return`
              var offset = 0;
              var k = 0;
              ${f}
              value = x[offset];
          `},uh=(r,s,u)=>{let f="";for(let g=s-1;g>=0;--g)f+=`
                k = i32(${r.indicesGet("indices",g)}) - ${gn("uniforms.pads",g,u)};
                if (k < 0) {
                  k = 0;
                }
                if (k >= i32(${gn("uniforms.x_shape",g,s)})) {
                  k = i32(${gn("uniforms.x_shape",g,s)}) - 1;
                }
                offset += k * i32(${gn("uniforms.x_strides",g,s)});
            `;return`
              var offset = 0;
              var k = 0;
              ${f}
              value = x[offset];
          `},H=(r,s,u)=>{let f="";for(let g=s-1;g>=0;--g)f+=`
                k = i32(${r.indicesGet("indices",g)}) - ${gn("uniforms.pads",g,u)};
                if (k < 0)  {
                  k += i32(${gn("uniforms.x_shape",g,s)}]);
                }
                if (k >= i32(${gn("uniforms.x_shape",g,s)})) {
                  k -= i32(${gn("uniforms.x_shape",g,s)});
                }
                offset += k * i32(${gn("uniforms.x_strides",g,s)});
            `;return`
              var offset = 0;
              var k = 0;
              ${f}
              value = x[offset];
          `},X=(r,s,u)=>{switch(u.mode){case 0:return Hp(r,s,u.pads.length);case 1:return lh(r,s,u.pads.length);case 2:return uh(r,s,u.pads.length);case 3:return H(r,s,u.pads.length);default:throw new Error("Invalid mode")}},de=(r,s)=>{let u=mt.padShape(r[0].dims.slice(),s.pads),f=r[0].dims,g=mt.size(u),w=[{type:12,data:g},{type:6,data:s.pads}],m=r.length>=3&&r[2].data;s.mode===0&&w.push({type:m?r[2].dataType:1,data:s.value}),w.push(...sn(r[0].dims,u));let P=["rank"],F=O=>{let Y=vn("output",r[0].dataType,u.length),Q=Bt("x",r[0].dataType,f.length),S=Q.type.value,ie=X(Y,f.length,s),ce=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:s.pads.length}];return s.mode===0&&ce.push({name:"constant_value",type:m?S:"f32"}),`
            ${O.registerUniforms(ce).declareVariables(Q,Y)}
            ${O.mainStart()}
            ${O.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

            let indices = ${Y.offsetToIndices("global_idx")};

            var value = ${S}(0);
            ${ie}
            output[global_idx] = value;
        }`};return{name:"Pad",shaderCache:{hint:`${s.mode}${m}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:u,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(mt.size(u)/64)},programUniforms:w}),getShaderSource:F}},De=(r,s)=>{if(r.length>1){let u=r[1].getBigInt64Array(),f=r.length>=3&&r[2].data?r[2].dataType===10?r[2].getUint16Array()[0]:r[2].getFloat32Array()[0]:0,g=r[0].dims.length,w=new Int32Array(2*g).fill(0);if(r.length>=4){let P=r[3].getBigInt64Array();for(let F=0;F<P.length;F++)w[Number(P[F])]=Number(u[F]),w[Number(P[F])+g]=Number(u[F+P.length])}else u.forEach((P,F)=>w[Number(F)]=Number(P));let m=[];return w.forEach(P=>m.push(P)),{mode:s.mode,value:f,pads:m}}else return s},kt=(r,s)=>{Xo(r.inputs);let u=De(r.inputs,s);r.compute(de(r.inputs,u),{inputs:[0]})}}),Vt,un,Cn,Kn,rr,Tr,ir,cr,er,or,dr,Er,Gi,qi,Ls,Li,oi,Mi,Tc,Mc=c(()=>{jt(),Pn(),Mn(),Vn(),Vt=r=>{if(j.webgpu.validateInputContent&&(!r||r.length!==1))throw new Error("Pool ops requires 1 input.")},un=(r,s,u)=>{let f=s.format==="NHWC",g=r.dims.slice();f&&g.splice(1,0,g.pop());let w=Object.hasOwnProperty.call(s,"dilations"),m=s.kernelShape.slice(),P=s.strides.slice(),F=w?s.dilations.slice():[],O=s.pads.slice();jr.adjustPoolAttributes(u,g,m,P,F,O);let Y=jr.computePoolOutputShape(u,g,P,F,m,O,s.autoPad),Q=Object.assign({},s);w?Object.assign(Q,{kernelShape:m,strides:P,pads:O,dilations:F,cacheKey:s.cacheKey}):Object.assign(Q,{kernelShape:m,strides:P,pads:O,cacheKey:s.cacheKey});let S=Y.slice();return S.push(S.splice(1,1)[0]),[Q,f?S:Y]},Cn=(r,s)=>{let u=s.format==="NHWC",f=mt.size(r),g=mt.size(s.kernelShape),w=[{type:12,data:f},{type:12,data:g}],m=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(s.kernelShape.length<=2){let P=s.kernelShape[s.kernelShape.length-1],F=s.strides[s.strides.length-1],O=s.pads[s.pads.length/2-1],Y=s.pads[s.pads.length-1],Q=!!(O+Y);w.push({type:12,data:P},{type:12,data:F},{type:12,data:O},{type:12,data:Y}),m.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let S=!1;if(s.kernelShape.length===2){let ie=s.kernelShape[s.kernelShape.length-2],ce=s.strides[s.strides.length-2],pe=s.pads[s.pads.length/2-2],ke=s.pads[s.pads.length-2];S=!!(pe+ke),w.push({type:12,data:ie},{type:12,data:ce},{type:12,data:pe},{type:12,data:ke}),m.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[w,m,!0,Q,S]}else{if(u)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let P=mt.computeStrides(s.kernelShape);w.push({type:12,data:P},{type:12,data:s.pads},{type:12,data:s.strides}),m.push({name:"kernelStrides",type:"u32",length:P.length},{name:"pads",type:"u32",length:s.pads.length},{name:"strides",type:"u32",length:s.strides.length});let F=s.pads.reduce((O,Y)=>O+Y);return[w,m,!!F,!1,!1]}},Kn=(r,s,u,f,g,w,m,P,F,O,Y,Q)=>{let S=g.format==="NHWC",ie=s.type.value,ce=vn("output",s.type.tensor,f);if(g.kernelShape.length<=2){let pe="",ke="",Pe="",be=u-(S?2:1);if(Y?pe=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${be}] = indices[${be}] * uniforms.sw - uniforms.pwStart + i;
                  if (xIndices[${be}] < 0 || xIndices[${be}]
                      >= uniforms.x_shape[${be}]) {
                    pad++;
                    continue;
                  }
                  let x_val = x[${s.indicesToOffset("xIndices")}];
                  ${w}
                }`:pe=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${be}] = indices[${be}] * uniforms.sw - uniforms.pwStart + i;
                  let x_val = x[${s.indicesToOffset("xIndices")}];
                  ${w}
                }`,g.kernelShape.length===2){let We=u-(S?3:2);Q?ke=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${We}] = indices[${We}] * uniforms.sh - uniforms.phStart + j;
                  if (xIndices[${We}] < 0 || xIndices[${We}] >= uniforms.x_shape[${We}]) {
                    pad += i32(uniforms.kw);
                    continue;
                  }
              `:ke=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${We}] = indices[${We}] * uniforms.sh - uniforms.phStart + j;
                `,Pe=`
              }
            `}return`
            ${r.registerUniforms(F).declareVariables(s,ce)}

            ${r.mainStart()}
              ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

              let indices = ${ce.offsetToIndices("global_idx")};
              var xIndices = ${ce.offsetToIndices("global_idx")};

              var value = ${ie}(${P});
              var pad = 0;
              ${ke}
              ${pe}
              ${Pe}
              ${m}

              output[global_idx] = value;
            }`}else{if(S)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let pe=g.kernelShape.length,ke=g.pads.length,Pe="";return O?Pe=`
                if (xIndices[j] >= uniforms.x_shape[j]) {
                  pad++;
                  isPad = true;
                  break;
                }
              }
              if (!isPad) {
                let x_val = x[${s.indicesToOffset("xIndices")}];
                ${w}
              }`:Pe=`
              }
              let x_val = x[${s.indicesToOffset("xIndices")}];
              ${w}
            `,`
            ${r.registerUniforms(F).declareVariables(s,ce)}

            ${r.mainStart()}
              ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
              let indices = ${ce.offsetToIndices("global_idx")};
              var xIndices = ${ce.offsetToIndices("global_idx")};

              var offsets: array<u32, ${pe}>;

              var value = ${ie}(${P});
              var pad = 0;
              var isPad = false;

              for (var i: u32 = 0u; i < uniforms.kernelSize; i++) {
                var offset = i;
                for (var j = 0u; j < ${pe-1}u; j++) {
                  offsets[j] = offset / ${gn("uniforms.kernelStrides","j",pe)};
                  offset -= offsets[j] * ${gn("uniforms.kernelStrides","j",pe)};
                }
                offsets[${pe-1}] = offset;

                isPad = false;
                for (var j = ${u-pe}u; j < ${u}u; j++) {
                  xIndices[j] = indices[j] * ${gn("uniforms.strides",`j - ${u-pe}u`,pe)}
                    + offsets[j - ${u-pe}u] - ${gn("uniforms.pads","j - 2u",ke)};
                  ${Pe}
              }
              ${m}

              output[global_idx] = value;
            }`}},rr=r=>`${r.format};${r.ceilMode};${r.autoPad};${r.kernelShape.length}`,Tr=r=>`${rr(r)};${r.countIncludePad}`,ir=r=>`${rr(r)};${r.storageOrder};${r.dilations}`,cr=r=>({format:r.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][r.auto_pad],ceilMode:r.ceil_mode,kernelShape:r.kernel_shape,strides:r.strides,pads:r.pads}),er=(r,s,u,f)=>{let[g,w]=un(s,f,u),m=Bt("x",s.dataType,s.dims.length),P=m.type.value,F="value += x_val;",O="";g.countIncludePad?O+=`value /= ${P}(uniforms.kernelSize);`:O+=`value /= ${P}(i32(uniforms.kernelSize) - pad);`;let[Y,Q,S,ie,ce]=Cn(w,g);Y.push(...sn(s.dims,w));let pe=["rank"];return{name:r,shaderCache:{hint:`${f.cacheKey};${S};${ie};${ce}`,inputDependencies:pe},getRunData:()=>({outputs:[{dims:w,dataType:s.dataType}],dispatchGroup:{x:Math.ceil(mt.size(w)/64)},programUniforms:Y}),getShaderSource:ke=>Kn(ke,m,s.dims.length,w.length,g,F,O,0,Q,S,ie,ce)}},or=r=>{let s=r.count_include_pad!==0,u=cr(r);if(u.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let f={countIncludePad:s,...u,cacheKey:""};return{...f,cacheKey:Tr(f)}},dr=(r,s)=>{Vt(r.inputs),r.compute(er("AveragePool",r.inputs[0],!1,s))},Er={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},Gi=r=>{let s=r.format;return{format:s,...Er,cacheKey:s}},qi=(r,s)=>{Vt(r.inputs),r.compute(er("GlobalAveragePool",r.inputs[0],!0,s))},Ls=(r,s,u,f)=>{let[g,w]=un(s,f,u),m=`
      value = max(x_val, value);
    `,P="",F=Bt("x",s.dataType,s.dims.length),O=["rank"],[Y,Q,S,ie,ce]=Cn(w,g);return Y.push(...sn(s.dims,w)),{name:r,shaderCache:{hint:`${f.cacheKey};${S};${ie};${ce}`,inputDependencies:O},getRunData:()=>({outputs:[{dims:w,dataType:s.dataType}],dispatchGroup:{x:Math.ceil(mt.size(w)/64)},programUniforms:Y}),getShaderSource:pe=>Kn(pe,F,s.dims.length,w.length,g,m,P,s.dataType===10?-65504:-1e5,Q,S,ie,ce)}},Li=(r,s)=>{Vt(r.inputs),r.compute(Ls("MaxPool",r.inputs[0],!1,s))},oi=r=>{let s=r.storage_order,u=r.dilations,f=cr(r);if(s!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(f.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let g={storageOrder:s,dilations:u,...f,cacheKey:""};return{...g,cacheKey:ir(g)}},Mi=r=>{let s=r.format;return{format:s,...Er,cacheKey:s}},Tc=(r,s)=>{Vt(r.inputs),r.compute(Ls("GlobalMaxPool",r.inputs[0],!0,s))}}),kc,l_,Bs,Ma,u_=c(()=>{Pn(),Mn(),Bn(),Vn(),kc=(r,s)=>{if(r.length<2||r.length>3)throw new Error("DequantizeLinear requires 2 or 3 inputs.");if(r.length===3&&r[1].dims===r[2].dims)throw new Error("x-scale and x-zero-point must have the same shape.");if(r.length===3&&r[0].dataType!==r[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(r[0].dataType===6&&r.length>2)throw new Error("In the case of dequantizing int32 there is no zero point.");if(r[1].dims.length!==0&&r[1].dims.length!==1&&r[1].dims.length!==r[0].dims.length)throw new Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if(r.length>2){if(r[0].dataType!==r[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(r[1].dims.length!==r[2].dims.length)throw new Error("scale and zero-point inputs must have the same rank.");if(!r[1].dims.map((u,f)=>u===r[2].dims[f]).reduce((u,f)=>u&&f,!0))throw new Error("scale and zero-point inputs must have the same shape.")}if(s.blockSize>0){if(r[1].dims.length===0||r[1].dims.length===1&&r[1].dims[0]===1)throw new Error("blockSize must be set only for block quantization.");if(!r[1].dims.map((g,w)=>w===s.axis||g===r[0].dims[w]).reduce((g,w)=>g&&w,!0))throw new Error("For block qunatization, scale input shape to match the input shape except for the axis");if(r[1].dims.length!==r[0].dims.length)throw new Error("For block qunatization the scale input rank must be the same as the x rank.");let u=r[0].dims[s.axis],f=r[1].dims[s.axis];if(s.blockSize<Math.ceil(u/f)||s.blockSize>Math.ceil(u/(f-1)-1))throw new Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},l_=(r,s)=>{let u=mt.normalizeAxis(s.axis,r[0].dims.length),f=r[0].dataType,g=f===3,w=r[0].dims,m=r[1].dataType,P=mt.size(w),F=f===3||f===2,O=F?[Math.ceil(mt.size(r[0].dims)/4)]:r[0].dims,Y=r[1].dims,Q=r.length>2?r[2]:void 0,S=Q?F?[Math.ceil(mt.size(Q.dims)/4)]:Q.dims:void 0,ie=Y.length===0||Y.length===1&&Y[0]===1,ce=ie===!1&&Y.length===1,pe=nr(P),ke=ie&&(!F||pe===4),Pe=ke?pe:1,be=ke&&!F?pe:1,We=Bt("input",F?12:f,O.length,be),ze=Bt("scale",m,Y.length),Ge=Q?Bt("zero_point",F?12:f,S.length):void 0,zt=vn("output",m,w.length,Pe),It=[We,ze];Ge&&It.push(Ge);let Ht=[O,Y];Q&&Ht.push(S);let pn=[{type:12,data:P/Pe},{type:12,data:u},{type:12,data:s.blockSize},...sn(...Ht,w)],wn=Xn=>{let ar=[{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}];return`
      ${Xn.registerUniforms(ar).declareVariables(...It,zt)}
      ${Xn.mainStart()}
          ${Xn.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          let output_indices = ${zt.offsetToIndices("global_idx")};

          // Set input x
          ${F?`
            let input = ${We.getByOffset("global_idx / 4")};
            let x_vec = ${g?"unpack4xI8(input)":"unpack4xU8(input)"};
            let x_value = ${Pe===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${We.getByOffset("global_idx")};`};

          // Set scale input
          ${ie?`let scale_value= ${ze.getByOffset("0")}`:ce?`
            let scale_index = ${zt.indicesGet("output_indices","uniforms.axis")};
            let scale_value= ${ze.getByOffset("scale_index")};`:`
            var scale_indices: ${ze.type.indices} = output_indices;
            let index = ${ze.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size;
            ${ze.indicesSet("scale_indices","uniforms.axis","index")};
            let scale_value= ${ze.getByIndices("scale_indices")};`};

          // Set zero-point input
          ${Ge?ie?F?`
                let zero_point_input = ${Ge.getByOffset("0")};
                let zero_point_vec =  ${g?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${Ge.getByOffset("0")}`:ce?F?`
                let zero_point_index = ${zt.indicesGet("output_indices","uniforms.axis")};
                let zero_point_input = ${Ge.getByOffset("zero_point_index / 4")};
                let zero_point_vec =  ${g?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value = zero_point_vec[zero_point_index % 4]`:`
                let zero_point_index = ${zt.indicesGet("output_indices","uniforms.axis")};
                let zero_point_value = ${Ge.getByOffset("zero_point_index")};`:F?`
                let zero_point_offset = ${ze.indicesToOffset("scale_indices")};
                let zero_point_input = ${Ge.getByOffset("zero_point_offset / 4")};
                let zero_point_vec = ${g?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${Ge.getByIndices("scale_indices")};`:`let zero_point_value = ${F?g?"i32":"u32":We.type.value}(0);`};
      // Compute and write output
      ${zt.setByOffset("global_idx",`${zt.type.value}(x_value - zero_point_value) * scale_value`)};
      }`};return{name:"DequantizeLinear",shaderCache:{hint:s.cacheKey,inputDependencies:Ge?["rank","rank","rank"]:["rank","rank"]},getShaderSource:wn,getRunData:()=>({outputs:[{dims:w,dataType:m}],dispatchGroup:{x:Math.ceil(P/Pe/64),y:1,z:1},programUniforms:pn})}},Bs=(r,s)=>{kc(r.inputs,s),r.compute(l_(r.inputs,s))},Ma=r=>bn({axis:r.axis,blockSize:r.blockSize})}),Kp,Xp,ch,tC=c(()=>{jt(),Pn(),Vn(),Kp=(r,s,u)=>{let f=r===s,g=r<s&&u<0,w=r>s&&u>0;if(f||g||w)throw new Error("Range these inputs' contents are invalid.")},Xp=(r,s,u,f)=>{let g=Math.abs(Math.ceil((s-r)/u)),w=[g],m=g,P=[{type:12,data:m},{type:f,data:r},{type:f,data:u},...sn(w)],F=O=>{let Y=vn("output",f,w.length),Q=Y.type.value,S=[{name:"outputSize",type:"u32"},{name:"start",type:Q},{name:"delta",type:Q}];return`
        ${O.registerUniforms(S).declareVariables(Y)}
        ${O.mainStart()}
        ${O.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        output[global_idx] = uniforms.start + ${Q}(global_idx) * uniforms.delta;
      }`};return{name:"Range",shaderCache:{hint:`${f}`},getShaderSource:F,getRunData:()=>({outputs:[{dims:w,dataType:f}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:P})}},ch=r=>{let s=0,u=0,f=0;r.inputs[0].dataType===6?(s=r.inputs[0].getInt32Array()[0],u=r.inputs[1].getInt32Array()[0],f=r.inputs[2].getInt32Array()[0]):r.inputs[0].dataType===1&&(s=r.inputs[0].getFloat32Array()[0],u=r.inputs[1].getFloat32Array()[0],f=r.inputs[2].getFloat32Array()[0]),j.webgpu.validateInputContent&&Kp(s,u,f),r.compute(Xp(s,u,f,r.inputs[0].dataType),{inputs:[]})}}),_w,yw,vw,ww,bw,xw,Tw,Mw,kw,Sw,Ew,c_,Cw,Pw,Aw,$w,Iw,Fw,Ow,nC=c(()=>{Pn(),Mn(),Bn(),Vn(),_w=(r,s)=>{if(r.every(u=>u>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),r.length>0){if(s.mode==="linear"){if(!(r.length===2||r.length===3||r.length===4&&r[0]===1&&r[1]===1||r.length===4&&r[0]===1&&r[3]===1||r.length===5&&r[0]===1&&r[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and
            one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(s.mode==="cubic"&&!(r.length===2||r.length===4&&r[0]===1&&r[1]===1||r.length===4&&r[0]===1&&r[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},yw=(r,s,u)=>{s.every(g=>g>=0&&g<u||(()=>{throw new Error("Resize requires axes input values to be positive and less than rank")}));let f=new Array(u).fill(1);return s.forEach((g,w)=>f[g]=r[w]),f},vw=(r,s,u,f,g,w)=>{let[m,P,F]=u>10?[1,2,3]:[-1,r.length>1?1:-1,-1],O=r[0].dims.length;if(m>0&&r.length>m&&r[m].dims.length>0)r[m].getFloat32Array().forEach(Y=>w.push(Y));else if(s.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(P>0&&r.length>P&&r[P].dims.length>0){if(r[P].getFloat32Array().forEach(Y=>f.push(Y)),f.length!==0&&f.length!==O&&u>=18&&f.length!==s.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");_w(f,s),s.axes.length>0&&yw(f,s.axes,O).forEach((Y,Q)=>f[Q]=Y)}if(F>0&&r.length>F&&(r[F].getBigInt64Array().forEach(Y=>g.push(Number(Y))),g.length!==O||u>=18&&g.length===s.axes.length))throw new Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(s.axes.length>0){if(f.length!==s.axes.length)throw new Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(g.length!==s.axes.length)throw new Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof f<"u"&&typeof g<"u"&&f.length>0&&g.length>O)throw new Error("Resize requires only of scales or sizes to be specified")},ww=(r,s)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,
     lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${s} { `+(()=>{switch(r){case"asymmetric":return`return ${s}(xResized) / ${s}(xScale);`;case"pytorch_half_pixel":return`if (lengthResized > 1) {
                    return (${s}(xResized) + 0.5) / ${s}(xScale) - 0.5;
                  } else {
                    return 0.0;
                  }`;case"tf_half_pixel_for_nn":return`return (${s}(xResized) + 0.5) / ${s}(xScale);`;case"align_corners":return`if (lengthResized == 1) {
                    return 0.0;
                  } else {
                    // The whole part and the fractional part are calculated separately due to inaccuracy of floating
                    // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an
                    // offset-by-one error later in floor().
                    let whole = ${s}(xResized * (lengthOriginal - 1) / (lengthResized - 1));
                    let fract =
                        ${s}(xResized * (lengthOriginal - 1) % (lengthResized - 1)) / ${s}(lengthResized - 1);
                    return whole + fract;
                  }`;case"tf_crop_and_resize":return`if (lengthResized > 1) {
                    return ${s}(roiStart) * ${s}(lengthOriginal - 1) +
                        (${s}(xResized) * ${s}(roiEnd - roiStart) * ${s}(lengthOriginal - 1)) /
                        ${s}(lengthResized - 1);
                  } else {
                    return 0.5 * ${s}(roiStart + roiEnd) * ${s}(lengthOriginal - 1);
                  }`;case"half_pixel_symmetric":return`const outputWidth = ${s}xScale * ${s}(lengthResized);
                  const adjustment = ${s}(lengthResized) / outputWidth;
                  const center = ${s}(lengthOriginal) / 2;
                  const offset = center * (1 - adjustment);
                  return offset + ((${s}(xResized) + 0.5) / ${s}(xScale)) - 0.5;`;case"half_pixel":return`return ((${s}(xResized) + 0.5) / ${s}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${r} is not supported`)}})()+"}",bw=(r,s,u)=>`fn getNearestPixelFromOriginal(xOriginal: ${u}, isDownSample: bool) -> ${u} {`+(()=>{switch(r){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) {             return ceil(xOriginal);           } else {             return round(xOriginal);           }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) {                     return floor(xOriginal);                   } else {                     return round(xOriginal);                   }";case"simple":default:if(s<11)return"if (isDownSample)                     {                       return ceil(xOriginal);                     } else {                       return xOriginal;                     }";throw new Error(`Nearest mode ${r} is not supported`)}})()+"}",xw=(r,s,u)=>{let f=new Array(u).fill(0).concat(new Array(u).fill(1)),g=r.length===0?f:r.slice();return s.length>0?(s.forEach((w,m)=>{f[w]=g[m],f[m+u]=g[s.length+m]}),f):g},Tw=(r,s,u,f)=>{let g=[];if(u.length>0)if(f.length>0){if(r.forEach(w=>g.push(w)),Math.max(...f)>r.length)throw new Error("axes is out of bound");f.forEach((w,m)=>g[w]=u[m])}else u.forEach(w=>g.push(w));else{if(s.length===0)throw new Error("Resize requires either scales or sizes.");g=r.map((w,m)=>Math.round(w*s[m]))}return g},Mw=(r,s,u)=>{let f=(()=>{switch(u.keepAspectRatioPolicy){case"not_larger":return u.axes.length>0?Math.min(...u.axes.map(w=>s[w]),Number.MAX_VALUE):Math.min(...s,Number.MAX_VALUE);case"not_smaller":return u.axes.length>0?Math.max(...u.axes.map(w=>s[w]),Number.MIN_VALUE):Math.max(...s,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${u.keepAspectRatioPolicy} is not supported`)}})();s.fill(1,0,s.length);let g=r.slice();return u.axes.length>0?(u.axes.forEach(w=>s[w]=f),u.axes.forEach(w=>g[w]=Math.round(r[w]*s[w]))):(s.fill(f,0,s.length),g.forEach((w,m)=>g[m]=Math.round(w*s[m]))),g},kw=(r,s,u,f,g)=>`
    fn calculateOriginalIndicesFromOutputIndices(output_indices: ${r.type.indices}) -> array<${r.type.value}, ${u.length}> {
      var original_indices: array<${r.type.value}, ${u.length}>;
      for (var i:u32 = 0; i < ${u.length}; i++) {
        var output_index = ${r.indicesGet("output_indices","i")};
        var scale = ${gn("uniforms.scales","i",f)};
        var roi_low = ${gn("uniforms.roi","i",g)};
        var roi_hi = ${gn("uniforms.roi",`i + ${s.length}`,g)};
        if (scale == 1.0) {
          original_indices[i] = ${r.type.value}(output_index);
        } else {
          var input_shape_i = ${gn("uniforms.input_shape","i",s.length)};
          var output_shape_i = ${gn("uniforms.output_shape","i",u.length)};
          original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                           input_shape_i, roi_low, roi_hi);
        }
      }
      return original_indices;
    }`,Sw=(r,s,u,f,g,w,m)=>`
    fn calculateInputIndicesFromOutputIndices(output_indices: ${s.type.indices}) -> ${r.type.indices} {
      var input_indices: ${r.type.indices};
      for (var i:u32 = 0; i < ${f.length}; i++) {
        var output_index = ${s.indicesGet("output_indices","i")};
        var input_index: u32;
        var scale = ${gn("uniforms.scales","i",g)};
        if (scale == 1.0) {
          input_index = output_index;
        } else {
          var roi_low = ${gn("uniforms.roi","i",w)};
          var roi_hi = ${gn("uniforms.roi",`i + ${u.length}`,w)};
          var input_shape_i = ${gn("uniforms.input_shape","i",u.length)};
          var output_shape_i = ${gn("uniforms.output_shape","i",f.length)};
          var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                        input_shape_i, roi_low, roi_hi);
          if (!${m} || (original_idx >= 0 && original_idx < ${s.type.value}(input_shape_i))) {
            if (original_idx < 0) {
              input_index = 0;
            } else if (original_idx > ${s.type.value}(input_shape_i - 1)) {
              input_index = input_shape_i - 1;
            } else {
              input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1));
            }
          } else {
            input_index = u32(original_idx);
          }
        }
        ${r.indicesSet("input_indices","i"," input_index")}
      }
      return input_indices;
    }`,Ew=(r,s)=>`
    fn checkInputIndices(input_indices: ${r.type.indices}) -> bool {
      for (var i:u32 = 0; i < ${s.length}; i++) {
        var input_index = ${r.indicesGet("input_indices","i")};
        if (input_index < 0 || input_index >= ${gn("uniforms.input_shape","i",s.length)}) {
          return false;
        }
      }
      return true;
    }`,c_=(r,s,u,f)=>r.rank>f?`
    ${r.indicesSet("input_indices",s,"channel")};
    ${r.indicesSet("input_indices",u,"batch")};
`:"",Cw=(r,s,u,f,g)=>{let[w,m,P,F]=u.length===2?[-1,0,1,-1]:[0,2,3,1],O=r.type.value;return`
    fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${O} {
      var input_indices: ${r.type.indices};
      ${r.indicesSet("input_indices",m,`max(0, min(row, ${u[m]} - 1))`)};
      ${r.indicesSet("input_indices",P,`max(0, min(col, ${u[P]} - 1))`)};
      ${c_(r,F,w,2)}
      return ${r.getByIndices("input_indices")};
    }

    fn bilinearInterpolation(output_indices: ${s.type.indices}) -> ${O} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var row:${O} = originalIndices[${m}];
      var col:${O} = originalIndices[${P}];
      ${f?`if (row < 0 || row > (${u[m]} - 1) || col < 0 || col > (${u[P]} - 1)) {
        return ${g};
      }`:""};
      row = max(0, min(row, ${u[m]} - 1));
      col = max(0, min(col, ${u[P]} - 1));
      var row1: u32 = u32(row);
      var col1: u32 = u32(col);
      var row2: u32 = u32(row + 1);
      var col2: u32 = u32(col + 1);
      var channel: u32 = ${u.length>2?`u32(originalIndices[${F}])`:"0"};
      var batch: u32 =  ${u.length>2?`u32(originalIndices[${w}])`:"0"};
      var x11: ${O} = getInputValue(batch, channel, row1, col1);
      var x12: ${O} = getInputValue(batch, channel, row1, col2);
      var x21: ${O} = getInputValue(batch, channel, row2, col1);
      var x22: ${O} = getInputValue(batch, channel, row2, col2);
      var dx1: ${O} = abs(row - ${O}(row1));
      var dx2: ${O} = abs(${O}(row2) - row);
      var dy1: ${O} = abs(col - ${O}(col1));
      var dy2: ${O} = abs(${O}(col2) - col);
      if (row1 == row2) {
        dx1 = 0.5;
        dx2 = 0.5;
      }
      if (col1 == col2) {
        dy1 = 0.5;
        dy2 = 0.5;
      }
      return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1);
    }`},Pw=(r,s,u,f,g,w,m,P,F,O)=>{let Y=u.length===2,[Q,S]=Y?[0,1]:[2,3],ie=r.type.value,ce=pe=>{let ke=pe===Q?"row":"col";return`
      fn ${ke}CubicInterpolation(input_indices: ${r.type.indices}, output_indices: ${s.type.indices}) -> ${ie} {
        var output_index = ${s.indicesGet("output_indices",pe)};
        var originalIdx: ${ie} = getOriginalCoordinateFromResizedCoordinate(output_index, ${g[pe]},
        ${f[pe]}, ${u[pe]}, ${w[pe]}, ${w[pe]} + ${u.length});
        var fractOriginalIdx: ${ie} = originalIdx - floor(originalIdx);
        var coefs = getCubicInterpolationCoefs(fractOriginalIdx);

        if (${P} && (originalIdx < 0 || originalIdx > (${u[pe]} - 1))) {
          return ${F};
        }
        var data: array<${ie}, 4> = array<${ie}, 4>(0.0, 0.0, 0.0, 0.0);
        for (var i: i32 = -1; i < 3; i++) {
          var ${ke}: ${ie} = originalIdx + ${ie}(i);
          if (${ke} < 0 || ${ke} >= ${u[pe]}) {
            ${O?`coefs[i + 1] = 0.0;
                        continue;`:P?`return ${F};`:`${ke} = max(0, min(${ke}, ${u[pe]} - 1));`};
          }
        var input_indices_copy: ${r.type.indices} = input_indices;
          ${r.indicesSet("input_indices_copy",pe,`u32(${ke})`)};
          data[i + 1] = ${pe===Q?r.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"};
        }
        return cubicInterpolation1D(data, coefs);
      }`};return`
    ${ce(Q)};
    ${ce(S)};
  fn getCubicInterpolationCoefs(s: ${ie}) -> array<${ie}, 4> {
    var absS = abs(s);
    var coeffs: array<${ie}, 4> = array<${ie}, 4>(0.0, 0.0, 0.0, 0.0);
    var oneMinusAbsS: ${ie} = 1.0 - absS;
    var twoMinusAbsS: ${ie} = 2.0 - absS;
    var onePlusAbsS: ${ie} = 1.0 + absS;
    coeffs[0] = ((${m} * onePlusAbsS - 5 * ${m}) * onePlusAbsS + 8 * ${m}) * onePlusAbsS - 4 * ${m};
    coeffs[1] = ((${m} + 2) * absS - (${m} + 3)) * absS * absS + 1;
    coeffs[2] = ((${m} + 2) * oneMinusAbsS - (${m} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;
    coeffs[3] = ((${m} * twoMinusAbsS - 5 * ${m}) * twoMinusAbsS + 8 * ${m}) * twoMinusAbsS - 4 * ${m};
    return coeffs;
  }

  fn cubicInterpolation1D(x: array<${ie}, 4>, coefs: array<${ie}, 4>) -> ${ie} {
    var coefsSum: ${ie} = coefs[0] + coefs[1] + coefs[2] + coefs[3];
    return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum;
  }

  fn bicubicInterpolation(output_indices: ${s.type.indices}) -> ${ie} {
    var input_indices: ${r.type.indices} = output_indices;
    return colCubicInterpolation(input_indices, output_indices);
  }
    `},Aw=(r,s,u,f,g)=>{let[w,m,P,F,O]=u.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],Y=r.type.value;return`
    fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${Y} {
      var input_indices: ${r.type.indices};
      ${r.indicesSet("input_indices",m,`max(0, min(depth, ${u[m]} - 1))`)};
      ${r.indicesSet("input_indices",P,`max(0, min(height, ${u[P]} - 1))`)};
      ${r.indicesSet("input_indices",F,`max(0, min(width, ${u[F]} - 1))`)};
      ${c_(r,O,w,3)}
      return ${r.getByIndices("input_indices")};
    }

    fn trilinearInterpolation(output_indices: ${s.type.indices}) -> ${Y} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var depth:${Y} = originalIndices[${m}];
      var height:${Y} = originalIndices[${P}];
      var width:${Y} = originalIndices[${F}];
      ${f?`if (depth < 0 || depth > (${u[m]} - 1) || height < 0 || height > (${u[P]} - 1) || width < 0 || (width > ${u[F]} - 1)) {
      return ${g};
        }`:""};

    depth = max(0, min(depth, ${u[m]} - 1));
      height = max(0, min(height, ${u[P]} - 1));
      width = max(0, min(width, ${u[F]} - 1));
      var depth1: u32 = u32(depth);
      var height1: u32 = u32(height);
      var width1: u32 = u32(width);
      var depth2: u32 = u32(depth + 1);
      var height2: u32 = u32(height + 1);
      var width2: u32 = u32(width + 1);
      var channel: u32 = ${u.length>3?`u32(originalIndices[${O}])`:"0"};
      var batch: u32 =  ${u.length>3?`u32(originalIndices[${w}])`:"0"};

      var x111: ${Y} = getInputValue(batch, channel, depth1, height1, width1);
      var x112: ${Y} = getInputValue(batch, channel, depth1, height1, width2);
      var x121: ${Y} = getInputValue(batch, channel, depth1, height2, width1);
      var x122: ${Y} = getInputValue(batch, channel, depth1, height2, width2);
      var x211: ${Y} = getInputValue(batch, channel, depth2, height1, width1);
      var x212: ${Y} = getInputValue(batch, channel, depth2, height1, width2);
      var x221: ${Y} = getInputValue(batch, channel, depth2, height2, width1);
      var x222: ${Y} = getInputValue(batch, channel, depth2, height2, width2);
      var dx1: ${Y} = abs(depth - ${Y}(depth1));
      var dx2: ${Y} = abs(${Y}(depth2) - depth);
      var dy1: ${Y} = abs(height - ${Y}(height1));
      var dy2: ${Y} = abs(${Y}(height2) - height);
      var dz1: ${Y} = abs(width - ${Y}(width1));
      var dz2: ${Y} = abs(${Y}(width2) - width);
      if (depth1 == depth2) {
        dx1 = 0.5;
        dx2 = 0.5;
      }
      if (height1 == height2) {
        dy1 = 0.5;
        dy2 = 0.5;
      }
      if (width1 == width2) {
        dz1 = 0.5;
        dz2 = 0.5;
      }
      return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 +
              x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1);
    }`},$w=(r,s,u,f,g,w)=>{let m=r.dims,P=xw(w,s.axes,m.length),F=Tw(m,f,g,s.axes),O=f.slice();f.length===0&&(O=m.map((be,We)=>be===0?1:F[We]/be),s.keepAspectRatioPolicy!=="stretch"&&(F=Mw(m,O,s)));let Y=vn("output",r.dataType,F.length),Q=Bt("input",r.dataType,m.length),S=mt.size(F),ie=m.length===F.length&&m.every((be,We)=>be===F[We]),ce=s.coordinateTransformMode==="tf_crop_and_resize",pe=s.extrapolationValue,ke=Q.type.value,Pe=be=>`
      ${ie?"":`
      ${ww(s.coordinateTransformMode,ke)};
      ${(()=>{switch(s.mode){case"nearest":return`
              ${Ew(Q,m)};
              ${bw(s.nearestMode,u,ke)};
              ${Sw(Q,Y,m,F,O.length,P.length,ce)};
              `;case"linear":return`
              ${kw(Y,m,F,O.length,P.length)};
              ${(()=>{if(m.length===2||m.length===4)return`${Cw(Q,Y,m,ce,pe)}`;if(m.length===3||m.length===5)return`${Aw(Q,Y,m,ce,pe)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};
            `;case"cubic":return`
            ${(()=>{if(m.length===2||m.length===4)return`${Pw(Q,Y,m,F,O,P,s.cubicCoeffA,ce,s.extrapolationValue,s.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()};
            `;default:throw Error("Invalid resize mode")}})()};
      `}
      ${be.registerUniform("output_size","u32").registerUniform("scales","f32",O.length).registerUniform("roi","f32",P.length).declareVariables(Q,Y)}
      ${be.mainStart()}
        ${be.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
        ${ie?"output[global_idx] = input[global_idx];":`
        let output_indices = ${Y.offsetToIndices("global_idx")};
        var input_indices: ${Q.type.indices};
        ${(()=>{switch(s.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);
                if (checkInputIndices(input_indices)) {
                  output[global_idx] = ${Q.getByIndices("input_indices")};
                } else {
                  output[global_idx] = ${s.extrapolationValue};
                }`;case"linear":return`output[global_idx] = ${m.length===2||m.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${s.mode}`)}})()};
`}
      }`;return{name:"Resize",shaderCache:{hint:`${s.cacheKey}|${u}|${O.length>0?O:""}|${g.length>0?g:""}|${P.length>0?P:""}|${ie}|${m}`,inputDependencies:["rank"]},getShaderSource:Pe,getRunData:()=>({outputs:[{dims:F,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(S/64)},programUniforms:[{type:12,data:S},{type:1,data:O},{type:1,data:P},...sn(m,F)]})}},Iw=r=>{let s=r.customDataBuffer;return new Uint32Array(s,s.byteOffset,1)[0]},Fw=(r,s)=>{let u=[],f=[],g=[],w=Iw(r);if(s.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");vw(r.inputs,s,w,u,f,g),r.compute($w(r.inputs[0],s,w,u,f,g),{inputs:[0]})},Ow=r=>{let s=r.antialias,u=r.axes,f=r.coordinateTransformMode,g=r.cubicCoeffA,w=r.excludeOutside!==0,m=r.extrapolationValue,P=r.keepAspectRatioPolicy,F=r.mode,O=r.nearestMode===""?"simple":r.nearestMode;return bn({antialias:s,axes:u,coordinateTransformMode:f,cubicCoeffA:g,excludeOutside:w,extrapolationValue:m,keepAspectRatioPolicy:P,mode:F,nearestMode:O})}}),Dw,zw,Rw,rC=c(()=>{Pn(),Mn(),Bn(),Vn(),Dw=(r,s)=>{let[u,f,g,w]=r,{numHeads:m,rotaryEmbeddingDim:P}=s;if(u.dims.length!==3&&u.dims.length!==4)throw new Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${u.dims.length}`);if(!mt.areEqual(f.dims,[])&&!mt.areEqual(f.dims,[1])&&f.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${f.dims.length}`);if(g.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${g.dims.length}`);if(w.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${w.dims.length}`);if(!mt.areEqual(g.dims,w.dims))throw new Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(P>0&&m===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let F=u.dims[0],O=u.dims[u.dims.length-2],Y=g.dims[0],Q=mt.sizeFromDimension(u.dims,1)/O,S=P===0?g.dims[1]*2:Q/m;if(P>S)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(f.dims.length===2){if(F!==f.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${f.dims[0]}`);if(O!==f.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${f.dims[1]}`)}if(S/2!==g.dims[1]&&P/2!==g.dims[1])throw new Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${g.dims[1]}`);if(O>Y)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},zw=(r,s)=>{let{interleaved:u,numHeads:f,rotaryEmbeddingDim:g,scale:w}=s,m=r[0].dims[0],P=mt.sizeFromDimension(r[0].dims,1),F=r[0].dims[r[0].dims.length-2],O=P/F,Y=r[2].dims[1],Q=g===0?Y*2:O/f,S=new Array(m,F,O/Q,Q-Y),ie=mt.computeStrides(S),ce=[{type:1,data:w},{type:12,data:S},{type:12,data:ie},...r[0].dims.length===3?new Array({type:12,data:[P,O,Q,1]}):[],...r[0].dims.length===4?new Array({type:12,data:[P,Q,F*Q,1]}):[],...sn(r[0].dims,r[1].dims,r[2].dims,r[3].dims,r[0].dims)],pe=ke=>{let Pe=Bt("input",r[0].dataType,r[0].dims.length),be=Bt("position_ids",r[1].dataType,r[1].dims.length),We=Bt("cos_cache",r[2].dataType,r[2].dims.length),ze=Bt("sin_cache",r[3].dataType,r[3].dims.length),Ge=vn("output",r[0].dataType,r[0].dims.length);return ke.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:S.length},{name:"global_strides",type:"u32",length:ie.length},{name:"input_output_strides",type:"u32",length:ie.length}]),`
        ${ke.declareVariables(Pe,be,We,ze,Ge)}

        ${ke.mainStart(Ii)}
          let half_rotary_emb_dim = uniforms.${We.name}_shape[1];
          let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape;
          let size = uniforms.global_shape[0] * uniforms.global_strides[0];
          ${ke.guardAgainstOutOfBoundsWorkgroupSizes("size")}

          if (bsnh[3] < half_rotary_emb_dim) {
            let position_ids_idx =
                ${be.broadcastedIndicesToOffset("bsnh.xy",vn("",be.type.tensor,2))};
            let position_id =
                u32(${be.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0);
            let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${u});
            let j = i + select(half_rotary_emb_dim, 1, ${u});
            let re = ${Pe.getByOffset("i")} * ${We.get("position_id","bsnh[3]")} -
                ${Pe.getByOffset("j")} * ${ze.get("position_id","bsnh[3]")};
            ${Ge.setByOffset("i","re")}
            let im = ${Pe.getByOffset("i")} * ${ze.get("position_id","bsnh[3]")} +
                ${Pe.getByOffset("j")} * ${We.get("position_id","bsnh[3]")};
            ${Ge.setByOffset("j","im")}
          } else {
            let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;
            ${Ge.setByOffset("k",Pe.getByOffset("k"))}
          }
        }`};return{name:"RotaryEmbedding",shaderCache:{hint:bn({interleaved:u}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:pe,getRunData:()=>({outputs:[{dims:r[0].dims,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(mt.size(S)/Ii)},programUniforms:ce})}},Rw=(r,s)=>{Dw(r.inputs,s),r.compute(zw(r.inputs,s))}}),Lw,Bw,Nw,iC=c(()=>{Pn(),Mn(),Vn(),Lw=r=>{if(!r||r.length<3)throw new Error("layerNorm requires at least 3 inputs.");let s=r[0],u=r[1],f=r[2];if(s.dataType!==u.dataType||s.dataType!==f.dataType)throw new Error("All inputs must have the same data type");if(s.dims.length!==3&&s.dims.length!==2)throw new Error("Input must be 2D or 3D");if(u.dims.length!==3&&u.dims.length!==2)throw new Error("Skip must be 2D or 3D");let g=s.dims[s.dims.length-1],w=s.dims[s.dims.length-2];if(u.dims[u.dims.length-1]!==g)throw new Error("Skip must have the same hidden size as input");if(u.dims[u.dims.length-2]!==w)throw new Error("Skip must have the same sequence length as input");if(f.dims.length!==1)throw new Error("Gamma must be 1D");if(f.dims[f.dims.length-1]!==g)throw new Error("Gamma must have the same hidden size as input");if(r.length>3){let m=r[3];if(m.dims.length!==1)throw new Error("Beta must be 1D");if(m.dims[m.dims.length-1]!==g)throw new Error("Beta must have the same hidden size as input")}if(r.length>4){let m=r[4];if(m.dims.length!==1)throw new Error("Bias must be 1D");if(m.dims[m.dims.length-1]!==g)throw new Error("Bias must have the same hidden size as input")}},Bw=(r,s,u,f)=>{let g=s.simplified,w=r[0].dims,m=mt.size(w),P=w,F=m,O=w.slice(-1)[0],Y=f?w.slice(0,-1).concat(1):[],Q=!g&&r.length>3,S=r.length>4,ie=f&&u>1,ce=f&&u>2,pe=u>3,ke=64,Pe=nr(O),be=[{type:12,data:F},{type:12,data:Pe},{type:12,data:O},{type:1,data:s.epsilon}],We=Ge=>{let zt=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],It=[Bt("x",r[0].dataType,r[0].dims,Pe),Bt("skip",r[1].dataType,r[1].dims,Pe),Bt("gamma",r[2].dataType,r[2].dims,Pe)];Q&&It.push(Bt("beta",r[3].dataType,r[3].dims,Pe)),S&&It.push(Bt("bias",r[4].dataType,r[4].dims,Pe)),It.push(vn("output",r[0].dataType,P,Pe)),ie&&It.push(vn("mean_output",1,Y)),ce&&It.push(vn("inv_std_output",1,Y)),pe&&It.push(vn("input_skip_bias_sum",r[0].dataType,P,Pe));let Ht=lr(r[0].dataType),pn=lr(1,Pe);return`

      ${Ge.registerUniforms(zt).declareVariables(...It)}
      var<workgroup> sum_shared : array<${pn}, ${ke}>;
      var<workgroup> sum_squared_shared : array<${pn}, ${ke}>;

      ${Ge.mainStart([ke,1,1])}
        let ix = local_id.x;
        let iy = global_id.x / ${ke};

        let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;
        var stride = hidden_size_vectorized / ${ke};
        let offset = ix * stride + iy * hidden_size_vectorized;
        let offset1d = stride * ix;
        if (ix == ${ke-1}) {
          stride = hidden_size_vectorized - stride * ix;
        }
        for (var i: u32 = 0; i < stride; i++) {
          let skip_value = skip[offset + i];
          let bias_value = ${S?"bias[offset1d + i]":Ht+"(0.0)"};
          let input_value = x[offset + i];
          let value = input_value + skip_value + bias_value;
          ${pe?"input_skip_bias_sum[offset + i] = value;":""}
          output[offset + i] = value;
          let f32_value = ${Fr(Ht,Pe,"value")};
          sum_shared[ix] += f32_value;
          sum_squared_shared[ix] += f32_value * f32_value;
        }
        workgroupBarrier();

        var reduce_size : u32 = ${ke};
        for (var curr_size = reduce_size >> 1;  curr_size > 0; curr_size = reduce_size >> 1) {
          reduce_size = curr_size + (reduce_size & 1);
          if (ix < curr_size) {
            sum_shared[ix] += sum_shared[ix + reduce_size];
            sum_squared_shared[ix] += sum_squared_shared[ix + reduce_size];
          }
          workgroupBarrier();
        }

        let sum = sum_shared[0];
        let square_sum = sum_squared_shared[0];
        let mean = ${Fi("sum",Pe)} / f32(uniforms.hidden_size);
        let inv_std_dev = inverseSqrt(${Fi("square_sum",Pe)} / f32(uniforms.hidden_size) ${g?"":"- mean * mean"} + uniforms.epsilon);
        ${ie?"mean_output[global_idx] = mean;":""}
        ${ce?"inv_std_output[global_idx] = inv_std_dev;":""}

        for (var i: u32 = 0; i < stride; i++) {
          output[offset + i] = (output[offset + i] ${g?"":`- ${Ht}(mean)`}) *
            ${Ht}(inv_std_dev) * gamma[offset1d + i]
            ${Q?"+ beta[offset1d + i]":""};
        }
      }`},ze=[{dims:P,dataType:r[0].dataType}];return u>1&&ze.push({dims:Y,dataType:1}),u>2&&ze.push({dims:Y,dataType:1}),u>3&&ze.push({dims:w,dataType:r[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${Pe};${ie};${ce};${pe}`,inputDependencies:r.map((Ge,zt)=>"type")},getShaderSource:We,getRunData:()=>({outputs:ze,dispatchGroup:{x:Math.ceil(F/O)},programUniforms:be})}},Nw=(r,s)=>{Lw(r.inputs);let u=[0];r.outputCount>1&&u.push(-3),r.outputCount>2&&u.push(-3),r.outputCount>3&&u.push(3),r.compute(Bw(r.inputs,s,r.outputCount,!1),{outputs:u})}}),jw,dh,Vw,d_,Uw,Ww,Gw,qw,sC=c(()=>{Pn(),Mn(),Bn(),Vn(),jw=(r,s)=>{if(!r||r.length<1)throw new Error("too few inputs");if(s.axes.length!==0){if(s.axes.length!==s.starts.length||s.axes.length!==s.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(s.starts.length!==s.ends.length)throw new Error("starts and ends must have the same length");r.slice(1).forEach((u,f)=>{if(r[f+1].dataType!==6&&r[f+1].dataType!==7)throw new Error(`Input ${f} must be an array of int32 or int64`)})},dh=(r,s)=>{let u=[];if(r.length>s)if(r[s].dataType===7)r[s].getBigInt64Array().forEach(f=>u.push(Number(f)));else if(r[s].dataType===6)r[s].getInt32Array().forEach(f=>u.push(Number(f)));else throw new Error(`Input ${s} must be an array of int32 or int64`);return u},Vw=(r,s)=>{if(r.length>1){let u=dh(r,1),f=dh(r,2),g=dh(r,3);return g.length===0&&(g=[...Array(r[0].dims.length).keys()]),bn({starts:u,ends:f,axes:g})}else return s},d_=(r,s,u,f,g)=>{let w=r;return r<0&&(w+=u[f[s]]),g[s]<0?Math.max(0,Math.min(w,u[f[s]]-1)):Math.max(0,Math.min(w,u[f[s]]))},Uw=(r,s,u)=>`fn calculateInputIndices(output_indices: ${s.type.indices}) -> ${r.type.indices} {
          var input_indices: ${r.type.indices};
          var carry = 0u;
          for (var i = ${u.length}; i >= 0; i--) {
            let input_shape_i = ${gn("uniforms.input_shape","i",u.length)};
            let steps_i = ${gn("uniforms.steps","i",u.length)};
            let signs_i = ${gn("uniforms.signs","i",u.length)};
            let starts_i = ${gn("uniforms.starts","i",u.length)};
            var output_index = ${s.indicesGet("output_indices","i")};
            var input_index = output_index * steps_i + starts_i + carry;
            carry = input_index / input_shape_i;
            input_index = input_index % input_shape_i;
            if (signs_i < 0) {
              input_index = input_shape_i - input_index - 1u + starts_i;
            }
            ${r.indicesSet("input_indices","i","input_index")};
          }
          return input_indices;
      }`,Ww=(r,s)=>{let u=r[0].dims,f=mt.size(u),g=s.axes.length>0?mt.normalizeAxes(s.axes,u.length):[...Array(u.length).keys()],w=dh(r,4);w.forEach(Pe=>Pe!==0||(()=>{throw new Error("step cannot be 0")})),w.length===0&&(w=Array(g.length).fill(1));let m=s.starts.map((Pe,be)=>d_(Pe,be,u,g,w)),P=s.ends.map((Pe,be)=>d_(Pe,be,u,g,w));if(g.length!==m.length||g.length!==P.length)throw new Error("start, ends and axes should have the same number of elements");if(g.length!==u.length)for(let Pe=0;Pe<u.length;++Pe)g.includes(Pe)||(m.splice(Pe,0,0),P.splice(Pe,0,u[Pe]),w.splice(Pe,0,1));let F=w.map(Pe=>Math.sign(Pe));w.forEach((Pe,be,We)=>{if(Pe<0){let ze=(P[be]-m[be])/Pe,Ge=m[be],zt=Ge+ze*w[be];m[be]=zt,P[be]=Ge,We[be]=-Pe}});let O=u.slice(0);g.forEach((Pe,be)=>{O[Pe]=Math.ceil((P[Pe]-m[Pe])/w[Pe])});let Y={dims:O,dataType:r[0].dataType},Q=vn("output",r[0].dataType,O.length),S=Bt("input",r[0].dataType,r[0].dims.length),ie=mt.size(O),ce=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:m.length},{name:"signs",type:"i32",length:F.length},{name:"steps",type:"u32",length:w.length}],pe=[{type:12,data:ie},{type:12,data:m},{type:6,data:F},{type:12,data:w},...sn(r[0].dims,O)],ke=Pe=>`
      ${Pe.registerUniforms(ce).declareVariables(S,Q)}
        ${Uw(S,Q,u)}
        ${Pe.mainStart()}
          ${Pe.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
          let output_indices = ${Q.offsetToIndices("global_idx")};
          let input_indices = calculateInputIndices(output_indices);
          ${Q.setByOffset("global_idx",S.getByIndices("input_indices"))}
      }`;return{name:"Slice",shaderCache:{hint:`${F.length}_${m.length}_${w.length}`,inputDependencies:["rank"]},getShaderSource:ke,getRunData:()=>({outputs:[Y],dispatchGroup:{x:Math.ceil(f/64)},programUniforms:pe})}},Gw=(r,s)=>{jw(r.inputs,s);let u=Vw(r.inputs,s);r.compute(Ww(r.inputs,u),{inputs:[0]})},qw=r=>{let s=r.starts,u=r.ends,f=r.axes;return bn({starts:s,ends:u,axes:f})}}),Hw,Kw,Xw,Qw,oC=c(()=>{Pn(),Mn(),Bn(),Vn(),Hw=r=>{if(!r||r.length!==1)throw new Error("Softmax op requires 1 input.")},Kw=(r,s)=>{let u=r.dims,f=mt.size(u),g=64,w=s.axis;if(w<0&&(w=u.length+w),w<u.length-1)throw new Error("softmax only supports last axis for now.");let m=u[w],P=f/m,F=nr(m),O=m/F,Y=(ke,Pe)=>Pe===4?`max(max(${ke}.x, ${ke}.y), max(${ke}.z, ${ke}.w))`:Pe===2?`max(${ke}.x, ${ke}.y)`:Pe===3?`max(max(${ke}.x, ${ke}.y), ${ke}.z)`:ke,Q=Bt("x",r.dataType,r.dims,F),S=vn("result",r.dataType,r.dims,F),ie=Q.type.value,ce=lr(r.dataType)==="f32"?`var threadMax = ${ie}(-3.402823e+38f);`:`var threadMax = ${ie}(-65504.0h);`,pe=ke=>`
      var<workgroup> rowMaxShared : ${ie};
      var<workgroup> rowSumShared : ${ie};
      var<workgroup> threadShared : array<${ie}, ${g}>;

      fn getValue(row: i32, col: i32, row_stride: i32) -> ${ie} {
        let index = row * row_stride + col;
        return x[index];
      }

      fn setValue(row: i32, col: i32, row_stride: i32, value: ${ie}) {
        let index = row * row_stride + col;
        result[index] = value;
      }
      ${ke.registerUniform("packedCols","i32").declareVariables(Q,S)}
      ${ke.mainStart()}
        let gindex = i32(global_idx);
        let lindex = i32(local_idx);
        const wg = ${g};
        let row = gindex / wg;
        let cols = uniforms.packedCols;
        let row_stride : i32 = uniforms.packedCols;

        // find the rows max
        ${ce}
        for (var col = lindex; col < cols; col += wg) {
          let value = getValue(row, col, row_stride);
          threadMax = max(threadMax, value);
        }
        if (lindex < cols) {
          threadShared[lindex] = threadMax;
        }
        workgroupBarrier();

        var reduceSize = min(cols, wg);
        for (var currSize = reduceSize >> 1;  currSize > 0; currSize = reduceSize >> 1) {
          reduceSize = currSize + (reduceSize & 1);
          if (lindex < currSize) {
            threadShared[lindex] = max(threadShared[lindex], threadShared[lindex + reduceSize]);
          }
          workgroupBarrier();
        }
        if (lindex == 0) {
          rowMaxShared = ${ie}(${Y("threadShared[0]",F)});
        }
        workgroupBarrier();

        // find the rows sum
        var threadSum = ${ie}(0.0);
        for (var col = lindex; col < cols; col += wg) {
          let subExp = exp(getValue(row, col, row_stride) - rowMaxShared);
          threadSum += subExp;
        }
        threadShared[lindex] = threadSum;
        workgroupBarrier();

        for (var currSize = wg >> 1;  currSize > 0; currSize = currSize >> 1) {
          if (lindex < currSize) {
            threadShared[lindex] = threadShared[lindex] + threadShared[lindex + currSize];
          }
          workgroupBarrier();
        }
        if (lindex == 0) {
          rowSumShared = ${ie}(${Fi("threadShared[0]",F)});
        }
        workgroupBarrier();

        // calculate final value for each element in the row
        for (var col = lindex; col < cols; col += wg) {
          let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared;
          setValue(row, col, row_stride, value);
        }
      }`;return{name:"Softmax",shaderCache:{hint:`${F}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:u,dataType:r.dataType}],dispatchGroup:{x:P},programUniforms:[{type:6,data:O}]}),getShaderSource:pe}},Xw=(r,s)=>{Hw(r.inputs),r.compute(Kw(r.inputs[0],s))},Qw=r=>bn({axis:r.axis})}),Yw,Zw,Jw,e1,t1,n1,r1,aC=c(()=>{Pn(),Mn(),Bn(),Vn(),Yw=r=>{if(!r||r.length<1)throw new Error("too few inputs")},Zw=(r,s)=>{let u=[],f=s.numOutputs;return r[1].dims[0]>0&&(r[1].getBigInt64Array().forEach(g=>u.push(Number(g))),f=u.length),bn({numOutputs:f,axis:s.axis,splitSizes:u})},Jw=r=>`
fn calculateOutputIndex(index: u32) -> u32 {
    for (var i: u32 = 0u; i < ${r}u; i += 1u ) {
    if (index < ${gn("uniforms.size_in_split_axis","i",r)}) {
        return i;
    }
    }
    return ${r}u;
}`,e1=r=>{let s=r.length,u=[];for(let f=0;f<s;++f){let g=r[f].setByIndices("indices","input[global_idx]");s===1?u.push(g):f===0?u.push(`if (output_number == ${f}u) { ${g} }`):f===s-1?u.push(`else { ${g} }`):u.push(`else if (output_number == ${f}) { ${g} }`)}return`
      fn writeBufferData(output_number: u32, indices: ${r[0].type.indices}, global_idx: u32) {
        ${u.join(`
`)}
      }`},t1=(r,s)=>{let u=r[0].dims,f=mt.size(u),g=r[0].dataType,w=mt.normalizeAxis(s.axis,u.length),m=new Array(s.numOutputs),P=Bt("input",g,u.length),F=new Array(s.numOutputs),O=[],Y=[],Q=0,S=[{type:12,data:f}];for(let ce=0;ce<s.numOutputs;ce++){Q+=s.splitSizes[ce],F[ce]=Q;let pe=u.slice();pe[w]=s.splitSizes[ce],Y.push(pe),m[ce]=vn(`output${ce}`,g,pe.length),O.push({dims:Y[ce],dataType:r[0].dataType})}S.push({type:12,data:F},...sn(u,...Y));let ie=ce=>`
  ${ce.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",F.length).declareVariables(P,...m)}
  ${Jw(F.length)}
  ${e1(m)}

  ${ce.mainStart()}
    ${ce.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")}

    var indices = ${P.offsetToIndices("global_idx")};
    var index = ${P.indicesGet("indices",w)};
    let output_number = calculateOutputIndex(index);
    if (output_number != 0) {
      index -= ${gn("uniforms.size_in_split_axis","output_number - 1u",F.length)};
      ${P.indicesSet("indices",w,"index")};
    }
    writeBufferData(output_number, indices, global_idx);
  }`;return{name:"Split",shaderCache:{hint:s.cacheKey,inputDependencies:["rank"]},getShaderSource:ie,getRunData:()=>({outputs:O,dispatchGroup:{x:Math.ceil(f/64)},programUniforms:S})}},n1=(r,s)=>{Yw(r.inputs);let u=r.inputs.length===1?s:Zw(r.inputs,s);r.compute(t1(r.inputs,u),{inputs:[0]})},r1=r=>{let s=r.axis,u=r.splitSizes,f=r.numOutputs<0?u.length:r.numOutputs;if(f!==u.length)throw new Error("numOutputs and splitSizes lengh must be equal");return bn({axis:s,numOutputs:f,splitSizes:u})}}),i1,s1,o1,lC=c(()=>{Pn(),Mn(),Vn(),i1=(r,s,u,f,g)=>{let w=vn("output_data",g,u.length,4),m=Bt("a_data",s[1].dataType,s[1].dims.length,4),P=Bt("b_data",s[2].dataType,s[2].dims.length,4),F=Bt("c_data",s[0].dataType,s[0].dims.length,4),O,Y=(Q,S,ie)=>`select(${S}, ${Q}, ${ie})`;if(!f)O=w.setByOffset("global_idx",Y(m.getByOffset("global_idx"),P.getByOffset("global_idx"),F.getByOffset("global_idx")));else{let Q=(S,ie,ce="")=>{let pe=`a_data[index_a${ie}][component_a${ie}]`,ke=`b_data[index_b${ie}][component_b${ie}]`,Pe=`bool(c_data[index_c${ie}] & (0xffu << (component_c${ie} * 8)))`;return`
            let output_indices${ie} = ${w.offsetToIndices(`global_idx * 4u + ${ie}u`)};
            let offset_a${ie} = ${m.broadcastedIndicesToOffset(`output_indices${ie}`,w)};
            let offset_b${ie} = ${P.broadcastedIndicesToOffset(`output_indices${ie}`,w)};
            let offset_c${ie} = ${F.broadcastedIndicesToOffset(`output_indices${ie}`,w)};
            let index_a${ie} = offset_a${ie} / 4u;
            let index_b${ie} = offset_b${ie} / 4u;
            let index_c${ie} = offset_c${ie} / 4u;
            let component_a${ie} = offset_a${ie} % 4u;
            let component_b${ie} = offset_b${ie} % 4u;
            let component_c${ie} = offset_c${ie} % 4u;
            ${S}[${ie}] = ${ce}(${Y(pe,ke,Pe)});
          `};g===9?O=`
            var data = vec4<u32>(0);
            ${Q("data",0,"u32")}
            ${Q("data",1,"u32")}
            ${Q("data",2,"u32")}
            ${Q("data",3,"u32")}
            output_data[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:O=`
            ${Q("output_data[global_idx]",0)}
            ${Q("output_data[global_idx]",1)}
            ${Q("output_data[global_idx]",2)}
            ${Q("output_data[global_idx]",3)}
          `}return`
        ${r.registerUniform("vec_size","u32").declareVariables(F,m,P,w)}
        ${r.mainStart()}
        ${r.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${O}
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(should not happen)");let r=this.kernelCustomData.get(this.currentKernelId);return r||(r={},this.kernelCustomData.set(this.currentKernelId,r)),r}async initialize(r,s){this.env=r;let u=[],f={requiredLimits:{maxComputeWorkgroupStorageSize:s.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:s.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:s.limits.maxStorageBufferBindingSize,maxBufferSize:s.limits.maxBufferSize,maxComputeInvocationsPerWorkgroup:s.limits.maxComputeInvocationsPerWorkgroup,maxComputeWorkgroupSizeX:s.limits.maxComputeWorkgroupSizeX,maxComputeWorkgroupSizeY:s.limits.maxComputeWorkgroupSizeY,maxComputeWorkgroupSizeZ:s.limits.maxComputeWorkgroupSizeZ},requiredFeatures:u};s.features.has("chromium-experimental-timestamp-query-inside-passes")?u.push("chromium-experimental-timestamp-query-inside-passes"):s.features.has("timestamp-query")&&u.push("timestamp-query"),s.features.has("shader-f16")&&u.push("shader-f16"),this.device=await s.requestDevice(f),this.adapterInfo=new d1(s.info||await s.requestAdapterInfo()),this.gpuDataManager=Rn(this),this.programManager=new l1(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,ps(r.logLevel,!!r.debug),this.device.onuncapturederror=g=>{g.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${g.error.message}`)},Object.defineProperty(this.env.webgpu,"device",{value:this.device,writable:!1,enumerable:!0,configurable:!1}),Object.defineProperty(this.env.webgpu,"adapter",{value:s,writable:!1,enumerable:!0,configurable:!1}),this.setQueryType()}dispose(){typeof this.querySet<"u"&&this.querySet.destroy(),this.gpuDataManager.dispose()}getCommandEncoder(){return this.commandEncoder||(this.commandEncoder=this.device.createCommandEncoder()),this.commandEncoder}getComputePassEncoder(){if(!this.computePassEncoder){let r=this.getCommandEncoder(),s={};this.queryType==="at-passes"&&(s.timestampWrites={querySet:this.querySet,beginningOfPassWriteIndex:this.pendingDispatchNumber*2,endOfPassWriteIndex:this.pendingDispatchNumber*2+1}),this.computePassEncoder=r.beginComputePass(s)}return this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){if(!this.commandEncoder)return;xt(),this.endComputePass();let r;this.queryType!=="none"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),r=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(r,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,r,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!=="none"&&r.mapAsync(GPUMapMode.READ).then(()=>{var f;let s=new BigUint64Array(r.getMappedRange()),u=this.pendingQueries.get(r);for(let g=0;g<s.length/2;g++){let w=u[g],m=w.kernelId,P=this.kernels.get(m),F=P.kernelType,O=P.kernelName,Y=w.programName,Q=w.inputTensorViews,S=w.outputTensorViews,ie=s[g*2],ce=s[g*2+1];typeof this.queryTimeBase>"u"&&(this.queryTimeBase=ie);let 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GPU data for input: ${We}`);m.push(ze)}let{outputs:P,dispatchGroup:F,programUniforms:O}=r.getRunData(s),Y=u.length===0?P.map((be,We)=>We):u;if(Y.length!==P.length)throw new Error(`Output size ${Y.length} must be equal to ${P.length}.`);let Q=[],S=[];for(let be=0;be<P.length;++be){if(!Number.isInteger(Y[be])||Y[be]<-3||Y[be]>=w)throw new Error(`Invalid output index: ${Y[be]}`);if(Y[be]===-3)continue;let We=Y[be]===-1,ze=Y[be]===-2,Ge=We||ze?g(P[be].dataType,P[be].dims):f(Y[be],P[be].dataType,P[be].dims);if(Q.push(Ge),Ge.data===0)continue;let zt=this.gpuDataManager.get(Ge.data);if(!zt)throw new Error(`no GPU data for output: ${Ge.data}`);if(We&&this.temporaryData.push(zt),ze){let It=this.kernelPersistentData.get(this.currentKernelId);It||(It=[],this.kernelPersistentData.set(this.currentKernelId,It)),It.push(zt)}S.push(zt)}if(m.length!==s.length||S.length!==Q.length){if(S.length===0)return z(r.name),Q;throw new Error(`Program ${r.name} has zero-sized tensor(s) in inputs or outputs. This is not supported now.`)}let ie;if(O){let be=0,We=[];O.forEach(It=>{let Ht=typeof It.data=="number"?[It.data]:It.data;if(Ht.length===0)return;let pn=It.type===10?2:4,wn,Xn;It.type===10?(Xn=Ht.length>4?16:Ht.length>2?8:Ht.length*pn,wn=Ht.length>4?16:pn*Ht.length):(Xn=Ht.length<=2?Ht.length*pn:16,wn=16),be=Math.ceil(be/Xn)*Xn,We.push(be);let ar=It.type===10?8:4;be+=Ht.length>4?Math.ceil(Ht.length/ar)*wn:Ht.length*pn});let ze=16;be=Math.ceil(be/ze)*ze;let Ge=new ArrayBuffer(be);O.forEach((It,Ht)=>{let pn=We[Ht],wn=typeof It.data=="number"?[It.data]:It.data;if(It.type===6)new Int32Array(Ge,pn,wn.length).set(wn);else if(It.type===12)new Uint32Array(Ge,pn,wn.length).set(wn);else if(It.type===10)new Uint16Array(Ge,pn,wn.length).set(wn);else if(It.type===1)new Float32Array(Ge,pn,wn.length).set(wn);else throw new Error(`Unsupported uniform type: ${Ai(It.type)}`)});let zt=this.gpuDataManager.create(be,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.device.queue.writeBuffer(zt.buffer,0,Ge,0,be),this.gpuDataManager.release(zt.id),ie={offset:0,size:be,buffer:zt.buffer}}let ce=this.programManager.normalizeDispatchGroupSize(F),pe=ce[1]===1&&ce[2]===1,ke=c1(r,s,pe),Pe=this.programManager.getArtifact(ke);if(Pe||(Pe=this.programManager.build(r,ce),this.programManager.setArtifact(ke,Pe),kr("info",()=>`[artifact] key: ${ke}, programName: ${r.name}`)),O&&Pe.uniformVariablesInfo){if(O.length!==Pe.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${Pe.uniformVariablesInfo.length}, got ${O.length} in program "${Pe.programInfo.name}".`);for(let be=0;be<O.length;be++){let We=O[be],ze=We.type,Ge=typeof We.data=="number"?1:We.data.length,[zt,It]=Pe.uniformVariablesInfo[be];if(ze!==zt||Ge!==It)throw new Error(`Uniform variable ${be} mismatch: expect type ${zt} with size ${It}, got type ${ze} with size ${Ge} in program "${Pe.programInfo.name}".`)}}if(kr("info",()=>`[ProgramManager] run "${r.name}" (key=${ke}) with ${ce[0]}x${ce[1]}x${ce[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let be={kernelId:this.currentKernelId,programName:Pe.programInfo.name,inputTensorViews:s,outputTensorViews:Q};this.pendingKernels.push(be),this.sessionStatus==="capturing"&&this.capturedPendingKernels.get(this.currentSessionId).push(be)}return this.programManager.run(Pe,m,S,ce,ie),z(r.name),Q}upload(r,s){this.gpuDataManager.upload(r,s)}memcpy(r,s){this.gpuDataManager.memcpy(r,s)}async download(r,s){await this.gpuDataManager.download(r,s)}alloc(r){return this.gpuDataManager.create(r).id}free(r){return this.gpuDataManager.release(r)}createKernel(r,s,u,f){let g=a1.get(r);if(!g)throw new Error(`kernel not implemented: ${r}`);let w={kernelType:r,kernelName:f,kernelEntry:g[0],attributes:[g[1],u]};this.kernels.set(s,w)}releaseKernel(r){let s=this.kernelPersistentData.get(r);if(s){for(let u of s)this.gpuDataManager.release(u.id);this.kernelPersistentData.delete(r)}this.kernelCustomData.delete(r),this.kernels.delete(r)}computeKernel(r,s,u){let f=this.kernels.get(r);if(!f)throw new Error(`kernel not created: ${r}`);let g=f.kernelType,w=f.kernelName,m=f.kernelEntry,P=f.attributes;if(this.currentKernelId!==null)throw new Error(`kernel "[${g}] ${w}" is not allowed to be called recursively`);this.currentKernelId=r,P[0]&&(P[1]=P[0](P[1]),P[0]=void 0),kr("info",()=>`[WebGPU] Start to run kernel "[${g}] ${w}"...`);let F=this.env.debug;this.temporaryData=[];try{return F&&this.device.pushErrorScope("validation"),m(s,P[1]),0}catch(O){return u.push(Promise.resolve(`[WebGPU] Kernel "[${g}] ${w}" failed. ${O}`)),1}finally{F&&u.push(this.device.popErrorScope().then(O=>O?`GPU validation error for kernel "[${g}] ${w}": ${O.message}`:null));for(let O of this.temporaryData)this.gpuDataManager.release(O.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(r,s,u,f){let g=this.sessionExternalDataMapping.get(r);g||(g=new Map,this.sessionExternalDataMapping.set(r,g));let w=g.get(s),m=this.gpuDataManager.registerExternalBuffer(u,f,w==null?void 0:w[1]);return g.set(s,[m,u]),m}unregisterBuffers(r){let s=this.sessionExternalDataMapping.get(r);s&&(s.forEach(u=>this.gpuDataManager.unregisterExternalBuffer(u[1])),this.sessionExternalDataMapping.delete(r))}getBuffer(r){let s=this.gpuDataManager.get(r);if(!s)throw new Error(`no GPU data for buffer: ${r}`);return s.buffer}createDownloader(r,s,u){return async()=>{let f=await Jt(this,r,s);return it(f.buffer,u)}}writeTimestamp(r){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,r)}setQueryType(){var r;this.queryType="none",(((r=this.env.webgpu.profiling)==null?void 0:r.mode)==="default"||(typeof this.env.trace>"u"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has("chromium-experimental-timestamp-query-inside-passes")?this.queryType="inside-passes":this.device.features.has("timestamp-query")&&(this.queryType="at-passes"),this.queryType!=="none"&&typeof this.querySet>"u"&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:this.maxDispatchNumber*2}),this.queryResolveBuffer=this.device.createBuffer({size:this.maxDispatchNumber*2*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){kr("info","captureBegin"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus="capturing"}captureEnd(){kr("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){kr("info","replay"),this.sessionStatus="replaying";let r=this.capturedCommandList.get(this.currentSessionId),s=this.capturedPendingKernels.get(this.currentSessionId),u=r.length;this.pendingKernels=[];for(let f=0;f<u;f++){let g=this.getComputePassEncoder(),w=r[f];this.writeTimestamp(this.pendingDispatchNumber*2),g.setPipeline(w.computePipeline),g.setBindGroup(0,w.bindGroup),g.dispatchWorkgroups(...w.dispatchGroup),this.writeTimestamp(this.pendingDispatchNumber*2+1),this.pendingDispatchNumber++,this.queryType!=="none"&&this.pendingKernels.push(s[f]),(this.pendingDispatchNumber>=this.maxDispatchNumber||this.queryType==="at-passes")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus="default"}onReleaseSession(r){this.unregisterBuffers(r),this.capturedCommandList.has(r)&&this.capturedCommandList.delete(r),this.capturedPendingKernels.has(r)&&this.capturedPendingKernels.delete(r),this.gpuDataManager.onReleaseSession(r)}onRunStart(r){this.currentSessionId=r,this.setQueryType()}}}),h1={};p(h1,{init:()=>m1});var Qp,p1,m1,fC=c(()=>{Pn(),dC(),_i(),Mn(),Qp=class gS{constructor(s,u,f,g){this.module=s,this.dataType=u,this.data=f,this.dims=g}getUint16Array(){if(this.dataType!==10&&this.dataType!==4)throw new Error("Invalid data type");let s=mt.size(this.dims);return s===0?new Uint16Array:new Uint16Array(this.module.HEAP8.buffer,this.data,s)}getFloat32Array(){if(this.dataType!==1)throw new Error("Invalid data type");let s=mt.size(this.dims);return s===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,s)}getBigInt64Array(){if(this.dataType!==7)throw new Error("Invalid data type");let s=mt.size(this.dims);return s===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,s)}getInt32Array(){if(this.dataType!==6)throw new Error("Invalid data type");let s=mt.size(this.dims);return s===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,s)}reshape(s){if(mt.size(s)!==mt.size(this.dims))throw new Error("Invalid new shape");return new gS(this.module,this.dataType,this.data,s)}},p1=class{constructor(r,s,u){this.module=r,this.backend=s,this.customDataOffset=0,this.customDataSize=0,this.adapterInfo=s.adapterInfo;let f=r.HEAPU32,g=u>>>2;this.opKernelContext=f[g++];let w=f[g++];this.outputCount=f[g++],this.customDataOffset=f[g++],this.customDataSize=f[g++];let m=[];for(let P=0;P<w;P++){let F=f[g++],O=f[g++],Y=f[g++],Q=[];for(let S=0;S<Y;S++)Q.push(f[g++]);m.push(new Qp(r,F,O,Q))}this.inputs=m}get kernelCustomData(){return this.backend.currentKernelCustomData}get customDataBuffer(){return this.module.HEAPU8.subarray(this.customDataOffset,this.customDataOffset+this.customDataSize)}getMaxComputeWorkgroupSizes(){return[this.backend.device.limits.maxComputeWorkgroupSizeX,this.backend.device.limits.maxComputeWorkgroupSizeY,this.backend.device.limits.maxComputeWorkgroupSizeZ]}getMaxComputeWorkgroupStoragesize(){return this.backend.device.limits.maxComputeWorkgroupStorageSize}compute(r,s){var m;let u=((m=s==null?void 0:s.inputs)==null?void 0:m.map(P=>typeof P=="number"?this.inputs[P]:P))??this.inputs,f=(s==null?void 0:s.outputs)??[],g=(P,F,O)=>new Qp(this.module,F,this.output(P,O),O),w=(P,F)=>{let O=hs(P,F);if(!O)throw new Error(`Unsupported data type: ${P}`);let Y=O>0?this.backend.gpuDataManager.create(O).id:0;return new Qp(this.module,P,Y,F)};return this.backend.run(r,u,f,g,w,this.outputCount)}output(r,s){let u=this.module.stackSave();try{let f=this.module.stackAlloc((1+s.length)*4),g=f>>2;this.module.HEAPU32[g++]=s.length;for(let w=0;w<s.length;w++)this.module.HEAPU32[g++]=s[w];return this.module._JsepOutput(this.opKernelContext,r,f)}catch(f){throw new Error(`Failed to generate kernel's output[${r}] with dims [${s}]. If you are running with pre-allocated output, please make sure the output type/dims are correct. Error: ${f}`)}finally{this.module.stackRestore(u)}}},m1=async(r,s,u,f)=>{let g=s.jsepInit;if(!g)throw new Error("Failed to initialize JSEP. 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Only 'gpu-buffer' location is supported when enableGraphCapture is true.`);be.push(It)}}let We=null;return be.some(ze=>ze==="gpu-buffer")&&(P=g._OrtCreateBinding(w),P===0&&wr("Can't create IO binding."),We={handle:P,outputPreferredLocations:be,outputPreferredLocationsEncoded:be.map(ze=>Ts(ze))}),ol.set(w,[w,O,Y,We,pe,!1]),[w,ke,Pe]}catch(ie){throw O.forEach(ce=>g._OrtFree(ce)),Y.forEach(ce=>g._OrtFree(ce)),P!==0&&g._OrtReleaseBinding(P),w!==0&&g._OrtReleaseSession(w),ie}finally{g._free(u),m!==0&&g._OrtReleaseSessionOptions(m),F.forEach(ie=>g._free(ie)),(S=g.unmountExternalData)==null||S.call(g)}},m_=r=>{var F;let s=gr(),u=ol.get(r);if(!u)throw new Error(`cannot release session. invalid session id: ${r}`);let[f,g,w,m,P]=u;m&&(P&&s._OrtClearBoundOutputs(m.handle),s._OrtReleaseBinding(m.handle)),(F=s.jsepOnReleaseSession)==null||F.call(s,r),g.forEach(O=>s._OrtFree(O)),w.forEach(O=>s._OrtFree(O)),s._OrtReleaseSession(f),ol.delete(r)},g_=(r,s,u,f,g,w=!1)=>{if(!r){s.push(0);return}let m=gr(),P=r[0],F=r[1],O=r[3],Y,Q;if(P==="string"&&O==="gpu-buffer")throw new Error("String tensor is not supported on GPU.");if(w&&O!=="gpu-buffer")throw new Error(`External buffer must be provided for input/output index ${g} when enableGraphCapture is true.`);if(O==="gpu-buffer"){let ce=r[2].gpuBuffer;Q=hs(es(P),F);let pe=m.jsepRegisterBuffer;if(!pe)throw new Error('Tensor location "gpu-buffer" is not supported without using WebGPU.');Y=pe(f,g,ce,Q)}else{let ce=r[2];if(Array.isArray(ce)){Q=4*ce.length,Y=m._malloc(Q),u.push(Y);let pe=Y/4;for(let ke=0;ke<ce.length;ke++){if(typeof ce[ke]!="string")throw new TypeError(`tensor data at index ${ke} is not a string`);m.HEAPU32[pe++]=yr(ce[ke],u)}}else Q=ce.byteLength,Y=m._malloc(Q),u.push(Y),m.HEAPU8.set(new Uint8Array(ce.buffer,ce.byteOffset,Q),Y)}let S=m.stackSave(),ie=m.stackAlloc(4*F.length);try{let ce=ie/4;F.forEach(ke=>m.HEAP32[ce++]=ke);let pe=m._OrtCreateTensor(es(P),Y,Q,ie,F.length,Ts(O));pe===0&&wr(`Can't create tensor for input/output. session=${f}, index=${g}.`),s.push(pe)}finally{m.stackRestore(S)}},__=async(r,s,u,f,g,w)=>{var wn,Xn;let m=gr(),P=ol.get(r);if(!P)throw new Error(`cannot run inference. invalid session id: ${r}`);let F=P[0],O=P[1],Y=P[2],Q=P[3],S=P[4],ie=P[5],ce=s.length,pe=f.length,ke=0,Pe=[],be=[],We=[],ze=[],Ge=m.stackSave(),zt=m.stackAlloc(ce*4),It=m.stackAlloc(ce*4),Ht=m.stackAlloc(pe*4),pn=m.stackAlloc(pe*4);try{[ke,Pe]=ds(w);for(let Fn=0;Fn<ce;Fn++)g_(u[Fn],be,ze,r,s[Fn],S);for(let Fn=0;Fn<pe;Fn++)g_(g[Fn],We,ze,r,ce+f[Fn],S);let ar=zt/4,Dn=It/4,Cr=Ht/4,Vr=pn/4;for(let Fn=0;Fn<ce;Fn++)m.HEAPU32[ar++]=be[Fn],m.HEAPU32[Dn++]=O[s[Fn]];for(let Fn=0;Fn<pe;Fn++)m.HEAPU32[Cr++]=We[Fn],m.HEAPU32[Vr++]=Y[f[Fn]];if(Q&&!ie){let{handle:Fn,outputPreferredLocations:sr,outputPreferredLocationsEncoded:vr}=Q;if(O.length!==ce)throw new Error(`input count from feeds (${ce}) is expected to be always equal to model's input count (${O.length}).`);for(let Ft=0;Ft<ce;Ft++){let an=s[Ft];await m._OrtBindInput(Fn,O[an],be[Ft])!==0&&wr(`Can't bind input[${Ft}] for session=${r}.`)}for(let Ft=0;Ft<pe;Ft++){let an=f[Ft];(wn=g[Ft])!=null&&wn[3]?m._OrtBindOutput(Fn,Y[an],We[Ft],0)!==0&&wr(`Can't bind pre-allocated output[${Ft}] for session=${r}.`):m._OrtBindOutput(Fn,Y[an],0,vr[an])!==0&&wr(`Can't bind output[${Ft}] to ${sr[Ft]} for session=${r}.`)}ol.set(r,[F,O,Y,Q,S,!0])}(Xn=m.jsepOnRunStart)==null||Xn.call(m,F);let fr;Q?fr=await m._OrtRunWithBinding(F,Q.handle,pe,Ht,ke):fr=await m._OrtRun(F,It,zt,ce,pn,pe,Ht,ke),fr!==0&&wr("failed to call OrtRun().");let Or=[];for(let Fn=0;Fn<pe;Fn++){let sr=m.HEAPU32[Ht/4+Fn];if(sr===We[Fn]){Or.push(g[Fn]);continue}let vr=m.stackSave(),Ft=m.stackAlloc(4*4),an=!1,Nn,Pr=0;try{m._OrtGetTensorData(sr,Ft,Ft+4,Ft+8,Ft+12)!==0&&wr(`Can't access output tensor data on index ${Fn}.`);let ai=Ft/4,ki=m.HEAPU32[ai++];Pr=m.HEAPU32[ai++];let ll=m.HEAPU32[ai++],em=m.HEAPU32[ai++],Ns=[];for(let Ki=0;Ki<em;Ki++)Ns.push(m.HEAPU32[ll/4+Ki]);m._OrtFree(ll);let Hi=Ns.reduce((Ki,_s)=>Ki*_s,1);Nn=Ai(ki);let ph=Q==null?void 0:Q.outputPreferredLocations[f[Fn]];if(Nn==="string"){if(ph==="gpu-buffer")throw new Error("String tensor is not supported on GPU.");let Ki=[],_s=Pr/4;for(let eo=0;eo<Hi;eo++){let ul=m.HEAPU32[_s++],tm=eo===Hi-1?void 0:m.HEAPU32[_s]-ul;Ki.push(m.UTF8ToString(ul,tm))}Or.push([Nn,Ns,Ki,"cpu"])}else if(ph==="gpu-buffer"&&Hi>0){let Ki=m.jsepGetBuffer;if(!Ki)throw new Error('preferredLocation "gpu-buffer" is not supported without using WebGPU.');let _s=Ki(Pr),eo=hs(ki,Hi);if(eo===void 0||!Qs(Nn))throw new Error(`Unsupported data type: ${Nn}`);an=!0,Or.push([Nn,Ns,{gpuBuffer:_s,download:m.jsepCreateDownloader(_s,eo,Nn),dispose:()=>{m._OrtReleaseTensor(sr)}},"gpu-buffer"])}else{let Ki=ts(Nn),_s=new Ki(Hi);new Uint8Array(_s.buffer,_s.byteOffset,_s.byteLength).set(m.HEAPU8.subarray(Pr,Pr+_s.byteLength)),Or.push([Nn,Ns,_s,"cpu"])}}finally{m.stackRestore(vr),Nn==="string"&&Pr&&m._free(Pr),an||m._OrtReleaseTensor(sr)}}return Q&&!S&&(m._OrtClearBoundOutputs(Q.handle),ol.set(r,[F,O,Y,Q,S,!1])),Or}finally{m.stackRestore(Ge),be.forEach(ar=>m._OrtReleaseTensor(ar)),We.forEach(ar=>m._OrtReleaseTensor(ar)),ze.forEach(ar=>m._free(ar)),ke!==0&&m._OrtReleaseRunOptions(ke),Pe.forEach(ar=>m._free(ar))}},y_=r=>{let s=gr(),u=ol.get(r);if(!u)throw new Error("invalid session id");let f=u[0],g=s._OrtEndProfiling(f);g===0&&wr("Can't get an profile file name."),s._OrtFree(g)},v_=r=>{let s=[];for(let u of r){let f=u[2];!Array.isArray(f)&&"buffer"in f&&s.push(f.buffer)}return s}}),al,Cs,Sc,fh,hh,Zp,w_,Jp,nu,ru,v1,w1,b1,x1,T1,M1,k1,S1,E1=c(()=>{jt(),y1(),Nr(),zn(),al=()=>!!j.wasm.proxy&&typeof document<"u",Sc=!1,fh=!1,hh=!1,Jp=new Map,nu=(r,s)=>{let u=Jp.get(r);u?u.push(s):Jp.set(r,[s])},ru=()=>{if(Sc||!fh||hh||!Cs)throw new Error("worker not ready")},v1=r=>{switch(r.data.type){case"init-wasm":Sc=!1,r.data.err?(hh=!0,w_[1](r.data.err)):(fh=!0,w_[0]()),Zp&&(URL.revokeObjectURL(Zp),Zp=void 0);break;case"init-ep":case"copy-from":case"create":case"release":case"run":case"end-profiling":{let s=Jp.get(r.data.type);r.data.err?s.shift()[1](r.data.err):s.shift()[0](r.data.out);break}}},w1=async()=>{if(!fh){if(Sc)throw new Error("multiple calls to 'initWasm()' detected.");if(hh)throw new Error("previous call to 'initWasm()' failed.");if(Sc=!0,al())return new Promise((r,s)=>{Cs==null||Cs.terminate(),yn().then(([u,f])=>{try{Cs=f,Cs.onerror=w=>s(w),Cs.onmessage=v1,w_=[r,s];let g={type:"init-wasm",in:j};Cs.postMessage(g),Zp=u}catch(g){s(g)}},s)});try{await xs(j.wasm),await f_(j),fh=!0}catch(r){throw hh=!0,r}finally{Sc=!1}}},b1=async r=>{if(al())return ru(),new Promise((s,u)=>{nu("init-ep",[s,u]);let f={type:"init-ep",in:{epName:r,env:j}};Cs.postMessage(f)});await h_(j,r)},x1=async r=>al()?(ru(),new Promise((s,u)=>{nu("copy-from",[s,u]);let f={type:"copy-from",in:{buffer:r}};Cs.postMessage(f,[r.buffer])})):Yp(r),T1=async(r,s)=>{if(al()){if(s!=null&&s.preferredOutputLocation)throw new Error('session option "preferredOutputLocation" is not supported for proxy.');return ru(),new Promise((u,f)=>{nu("create",[u,f]);let g={type:"create",in:{model:r,options:{...s}}},w=[];r instanceof Uint8Array&&w.push(r.buffer),Cs.postMessage(g,w)})}else return p_(r,s)},M1=async r=>{if(al())return ru(),new Promise((s,u)=>{nu("release",[s,u]);let f={type:"release",in:r};Cs.postMessage(f)});m_(r)},k1=async(r,s,u,f,g,w)=>{if(al()){if(u.some(m=>m[3]!=="cpu"))throw new Error("input tensor on GPU is not supported for proxy.");if(g.some(m=>m))throw new Error("pre-allocated output tensor is not supported for proxy.");return ru(),new Promise((m,P)=>{nu("run",[m,P]);let F=u,O={type:"run",in:{sessionId:r,inputIndices:s,inputs:F,outputIndices:f,options:w}};Cs.postMessage(O,v_(F))})}else return __(r,s,u,f,g,w)},S1=async r=>{if(al())return ru(),new Promise((s,u)=>{nu("end-profiling",[s,u]);let f={type:"end-profiling",in:r};Cs.postMessage(f)});y_(r)}}),b_,C1,P1,hC=c(()=>{jt(),E1(),Pn(),ht(),ho(),b_=(r,s)=>{switch(r.location){case"cpu":return[r.type,r.dims,r.data,"cpu"];case"gpu-buffer":return[r.type,r.dims,{gpuBuffer:r.gpuBuffer},"gpu-buffer"];default:throw new Error(`invalid data location: ${r.location} for ${s()}`)}},C1=r=>{switch(r[3]){case"cpu":return new je(r[0],r[2],r[1]);case"gpu-buffer":{let s=r[0];if(!Qs(s))throw new Error(`not supported data type: ${s} for deserializing GPU tensor`);let{gpuBuffer:u,download:f,dispose:g}=r[2];return je.fromGpuBuffer(u,{dataType:s,dims:r[1],download:f,dispose:g})}default:throw new Error(`invalid data location: ${r[3]}`)}},P1=class{async fetchModelAndCopyToWasmMemory(r){return x1(await Zn(r))}async loadModel(r,s){xt();let u;typeof r=="string"?u=await this.fetchModelAndCopyToWasmMemory(r):u=r,[this.sessionId,this.inputNames,this.outputNames]=await T1(u,s),z()}async dispose(){return M1(this.sessionId)}async run(r,s,u){xt();let f=[],g=[];Object.entries(r).forEach(Q=>{let S=Q[0],ie=Q[1],ce=this.inputNames.indexOf(S);if(ce===-1)throw new Error(`invalid input '${S}'`);f.push(ie),g.push(ce)});let w=[],m=[];Object.entries(s).forEach(Q=>{let S=Q[0],ie=Q[1],ce=this.outputNames.indexOf(S);if(ce===-1)throw new Error(`invalid output '${S}'`);w.push(ie),m.push(ce)});let P=f.map((Q,S)=>b_(Q,()=>`input "${this.inputNames[g[S]]}"`)),F=w.map((Q,S)=>Q?b_(Q,()=>`output "${this.outputNames[m[S]]}"`):null),O=await k1(this.sessionId,g,P,m,F,u),Y={};for(let Q=0;Q<O.length;Q++)Y[this.outputNames[m[Q]]]=w[Q]??C1(O[Q]);return z(),Y}startProfiling(){}endProfiling(){S1(this.sessionId)}}}),A1,$1,pC=c(()=>{jt(),E1(),hC(),zn(),A1=()=>{if((typeof j.wasm.initTimeout!="number"||j.wasm.initTimeout<0)&&(j.wasm.initTimeout=0),j.wasm.simd===!1&&console.warn('Deprecated property "env.wasm.simd" is set to false. non-SIMD build is no longer provided, and this setting will be ignored.'),typeof j.wasm.proxy!="boolean"&&(j.wasm.proxy=!1),typeof j.wasm.trace!="boolean"&&(j.wasm.trace=!1),typeof j.wasm.numThreads!="number"||!Number.isInteger(j.wasm.numThreads)||j.wasm.numThreads<=0)if(typeof self<"u"&&!self.crossOriginIsolated)j.wasm.numThreads=1;else{let r=typeof navigator>"u"?d("node:os").cpus().length:navigator.hardwareConcurrency;j.wasm.numThreads=Math.min(4,Math.ceil((r||1)/2))}},$1=class{async init(r){A1(),await w1(),await b1(r)}async createInferenceSessionHandler(r,s){let u=new P1;return await u.loadModel(r,s),Promise.resolve(u)}}}),I1={};p(I1,{wasmBackend:()=>F1});var F1,mC=c(()=>{pC(),F1=new $1});jt(),jt(),jt();var gC="1.20.0-dev.20240827-1d059b8702",_C=Nt;{let r=(mC(),_(I1)).wasmBackend;I("webgpu",r,5),I("webnn",r,5),I("cpu",r,10),I("wasm",r,10)}Object.defineProperty(j.versions,"web",{value:gC,enumerable:!0});/**
 * @license
 * Copyright 2021 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 *//**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 *//**
 * @license
 * Copyright 2019 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
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i=n("./src/utils/generic.js");n("./src/utils/tensor.js");var o=n("./src/utils/maths.js");class a extends i.Callable{_call(B,W){throw Error("`_call` should be implemented in a subclass")}}class l extends i.Callable{_call(B,W){throw Error("`_call` should be implemented in a subclass")}}class d extends i.Callable{constructor(){super(),this.processors=[]}push(B){this.processors.push(B)}extend(B){this.processors.push(...B)}_call(B,W){let j=W;for(const ae of this.processors)j=ae(B,j);return j}[Symbol.iterator](){return this.processors.values()}}class c extends a{constructor(B){super(),this.bos_token_id=B}_call(B,W){for(let j=0;j<B.length;++j)if(B[j].length===1){const ae=W[j].data;ae.fill(-1/0),ae[this.bos_token_id]=0}return W}}class p extends a{constructor(B,W){super(),this.max_length=B,this.eos_token_id=Array.isArray(W)?W:[W]}_call(B,W){for(let j=0;j<B.length;++j)if(B[j].length===this.max_length-1){const ae=W[j].data;ae.fill(-1/0);for(const ve of this.eos_token_id)ae[ve]=0}return W}}class v extends a{constructor(B,W){super(),this.begin_suppress_tokens=B,this.begin_index=W}_call(B,W){for(let j=0;j<B.length;++j)if(B[j].length===this.begin_index){const ae=W[j].data;for(const ve of this.begin_suppress_tokens)ae[ve]=-1/0}return W}}class _ extends a{constructor(B,W){super(),this.eos_token_id=Array.isArray(B.eos_token_id)?B.eos_token_id[0]:B.eos_token_id,this.no_timestamps_token_id=B.no_timestamps_token_id,this.timestamp_begin=this.no_timestamps_token_id+1,this.begin_index=W.length,W.at(-1)===this.no_timestamps_token_id&&(this.begin_index-=1),this.max_initial_timestamp_index=B.max_initial_timestamp_index}_call(B,W){for(let j=0;j<B.length;++j){const ae=W[j].data;if(ae[this.no_timestamps_token_id]=-1/0,B[j].length===this.begin_index-1){ae.fill(-1/0),ae[this.timestamp_begin]=0;continue}const ve=B[j].slice(this.begin_index),Ne=ve.length>=1&&ve[ve.length-1]>=this.timestamp_begin,oe=ve.length<2||ve[ve.length-2]>=this.timestamp_begin;if(Ne&&(oe?ae.subarray(this.timestamp_begin).fill(-1/0):ae.subarray(0,this.eos_token_id).fill(-1/0)),B[j].length===this.begin_index&&this.max_initial_timestamp_index!==null){const gt=this.timestamp_begin+this.max_initial_timestamp_index;ae.subarray(gt+1).fill(-1/0)}const Se=(0,o.log_softmax)(ae),G=Math.log(Se.subarray(this.timestamp_begin).map(Math.exp).reduce((gt,Me)=>gt+Me)),Ce=(0,o.max)(Se.subarray(0,this.timestamp_begin))[0];G>Ce&&ae.subarray(0,this.timestamp_begin).fill(-1/0)}return W}}class T extends a{constructor(B){super(),this.no_repeat_ngram_size=B}getNgrams(B){const W=B.length,j=[];for(let ve=0;ve<W+1-this.no_repeat_ngram_size;++ve){const Ne=[];for(let oe=0;oe<this.no_repeat_ngram_size;++oe)Ne.push(B[ve+oe]);j.push(Ne.map(Number))}const ae=new Map;for(const ve of j){const Ne=ve.slice(0,ve.length-1),oe=JSON.stringify(Ne),Se=ae.get(oe)??[];Se.push(ve[ve.length-1]),ae.set(oe,Se)}return ae}getGeneratedNgrams(B,W){const j=W.slice(W.length+1-this.no_repeat_ngram_size,W.length);return B.get(JSON.stringify(j.map(Number)))??[]}calcBannedNgramTokens(B){const W=[];if(B.length+1<this.no_repeat_ngram_size)return W;{const j=this.getNgrams(B);return this.getGeneratedNgrams(j,B)}}_call(B,W){for(let j=0;j<B.length;++j){const ae=W[j].data,ve=this.calcBannedNgramTokens(B[j]);for(const Ne of ve)ae[Ne]=-1/0}return W}}class M extends a{constructor(B){super(),this.penalty=B}_call(B,W){for(let j=0;j<B.length;++j){const ae=W[j].data;for(const ve of B[j]){const Ne=Number(ve);ae[Ne]<0?ae[Ne]*=this.penalty:ae[Ne]/=this.penalty}}return W}}class I extends a{constructor(B,W){super(),this.min_length=B,this.eos_token_id=Array.isArray(W)?W:[W]}_call(B,W){for(let j=0;j<B.length;++j)if(B[j].length<this.min_length){const ae=W[j].data;for(const ve of this.eos_token_id)ae[ve]=-1/0}return W}}class C extends a{constructor(B,W,j){super(),this.prompt_length_to_skip=B,this.min_new_tokens=W,this.eos_token_id=Array.isArray(j)?j:[j]}_call(B,W){for(let j=0;j<B.length;++j)if(B[j].length-this.prompt_length_to_skip<this.min_new_tokens){const ve=W[j].data;for(const Ne of this.eos_token_id)ve[Ne]=-1/0}return W}}class E extends a{constructor(B,W){super(),this.bad_words_ids=B,this.eos_token_id=Array.isArray(W)?W:[W]}_call(B,W){for(let j=0;j<B.length;++j){const ae=W[j].data;for(const ve of this.bad_words_ids){let Ne=!0;for(let oe=1;oe<=ve.length-1&&ve.length<B[oe].length;++oe)if(ve.at(-oe-1)!=B[oe].at(-oe)){Ne=!1;break}Ne&&(ae[ve.at(-1)]=-1/0)}}return W}}class x extends a{constructor(B){if(super(),B<=1)throw new Error(`Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${B}.`);this.guidance_scale=B}_call(B,W){if(W.dims[0]!==2*B.length)throw new Error(`Logits should have twice the batch size of the input ids, the first half of batches corresponding to the conditional inputs, and the second half of batches corresponding to the unconditional inputs. Got batch size ${W.dims[0]} for the logits and ${B.length} for the input ids.`);const j=B.length,ae=W.slice([0,j],null),ve=W.slice([j,W.dims[0]],null);for(let Ne=0;Ne<ve.data.length;++Ne)ve.data[Ne]+=(ae.data[Ne]-ve.data[Ne])*this.guidance_scale;return ve}}class k extends l{constructor(B){super(),this.temperature=B}_call(B,W){const j=W.data;for(let ae=0;ae<j.length;++ae)j[ae]/=this.temperature;return W}}class A extends l{constructor(B,{filter_value:W=-1/0,min_tokens_to_keep:j=1}={}){if(super(),B<0||B>1)throw new Error(`\`top_p\` must be a float > 0 and < 1, but is ${B}`);if(!Number.isInteger(j)||j<1)throw new Error(`\`min_tokens_to_keep\` must be a positive integer, but is ${j}`);this.top_p=B,this.filter_value=W,this.min_tokens_to_keep=j}}class N extends l{constructor(B,{filter_value:W=-1/0,min_tokens_to_keep:j=1}={}){if(super(),!Number.isInteger(B)||B<0)throw new Error(`\`top_k\` must be a positive integer, but is ${B}`);this.top_k=Math.max(B,j),this.filter_value=W}}},"./src/generation/logits_sampler.js":(e,t,n)=>{n.r(t),n.d(t,{LogitsSampler:()=>l});var i=n("./src/utils/generic.js"),o=n("./src/utils/tensor.js"),a=n("./src/utils/maths.js");n("./src/generation/configuration_utils.js");class l extends i.Callable{constructor(_){super(),this.generation_config=_}async _call(_){return this.sample(_)}async sample(_){throw Error("sample should be implemented in subclasses.")}getLogits(_,T){let M=_.dims.at(-1),I=_.data;if(T===-1)I=I.slice(-M);else{let C=T*M;I=I.slice(C,C+M)}return I}randomSelect(_){let T=0;for(let I=0;I<_.length;++I)T+=_[I];let M=Math.random()*T;for(let I=0;I<_.length;++I)if(M-=_[I],M<=0)return I;return 0}static getSampler(_){if(_.do_sample)return new c(_);if(_.num_beams>1)return new p(_);if(_.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${_.num_return_sequences}.`);return new d(_)}}class d extends l{async sample(_){const T=(0,a.max)(_.data)[1];return[[BigInt(T),0]]}}class c extends l{async sample(_){let T=_.dims.at(-1);this.generation_config.top_k>0&&(T=Math.min(this.generation_config.top_k,T));const[M,I]=await(0,o.topk)(_,T),C=(0,a.softmax)(M.data);return Array.from({length:this.generation_config.num_beams},()=>{const E=this.randomSelect(C);return[I.data[E],Math.log(C[E])]})}}class p extends l{async sample(_){let T=_.dims.at(-1);this.generation_config.top_k>0&&(T=Math.min(this.generation_config.top_k,T));const[M,I]=await(0,o.topk)(_,T),C=(0,a.softmax)(M.data);return Array.from({length:this.generation_config.num_beams},(E,x)=>[I.data[x],Math.log(C[x])])}}},"./src/generation/stopping_criteria.js":(e,t,n)=>{n.r(t),n.d(t,{EosTokenCriteria:()=>d,InterruptableStoppingCriteria:()=>c,MaxLengthCriteria:()=>l,StoppingCriteria:()=>o,StoppingCriteriaList:()=>a});var i=n("./src/utils/generic.js");class o extends i.Callable{_call(v,_){throw Error("StoppingCriteria needs to be subclassed")}}class a extends i.Callable{constructor(){super(),this.criteria=[]}push(v){this.criteria.push(v)}extend(v){v instanceof a?v=v.criteria:v instanceof o&&(v=[v]),this.criteria.push(...v)}_call(v,_){const T=new Array(v.length).fill(!1);for(const M of this.criteria){const I=M(v,_);for(let C=0;C<T.length;++C)T[C]||(T[C]=I[C])}return T}[Symbol.iterator](){return this.criteria.values()}}class l extends o{constructor(v,_=null){super(),this.max_length=v,this.max_position_embeddings=_}_call(v){return v.map(_=>_.length>=this.max_length)}}class d extends o{constructor(v){super(),Array.isArray(v)||(v=[v]),this.eos_token_id=v}_call(v,_){return v.map(T=>{const M=T.at(-1);return this.eos_token_id.some(I=>M==I)})}}class c extends o{constructor(){super(),this.interrupted=!1}interrupt(){this.interrupted=!0}reset(){this.interrupted=!1}_call(v,_){return new Array(v.length).fill(this.interrupted)}}},"./src/generation/streamers.js":(e,t,n)=>{n.r(t),n.d(t,{BaseStreamer:()=>l,TextStreamer:()=>c,WhisperTextStreamer:()=>p});var i=n("./src/utils/core.js"),o=n("./src/tokenizers.js"),a=n("./src/env.js");class l{put(_){throw Error("Not implemented")}end(){throw Error("Not implemented")}}const d=a.apis.IS_PROCESS_AVAILABLE?v=>process.stdout.write(v):v=>console.log(v);class c extends l{constructor(_,{skip_prompt:T=!1,callback_function:M=null,token_callback_function:I=null,decode_kwargs:C={},...E}={}){super(),this.tokenizer=_,this.skip_prompt=T,this.callback_function=M??d,this.token_callback_function=I,this.decode_kwargs={...C,...E},this.token_cache=[],this.print_len=0,this.next_tokens_are_prompt=!0}put(_){var C;if(_.length>1)throw Error("TextStreamer only supports batch size of 1");if(this.skip_prompt&&this.next_tokens_are_prompt){this.next_tokens_are_prompt=!1;return}const T=_[0];(C=this.token_callback_function)==null||C.call(this,T),this.token_cache=(0,i.mergeArrays)(this.token_cache,T);const M=this.tokenizer.decode(this.token_cache,this.decode_kwargs);let I;M.endsWith(`
`)?(I=M.slice(this.print_len),this.token_cache=[],this.print_len=0):M.length>0&&(0,o.is_chinese_char)(M.charCodeAt(M.length-1))?(I=M.slice(this.print_len),this.print_len+=I.length):(I=M.slice(this.print_len,M.lastIndexOf(" ")+1),this.print_len+=I.length),this.on_finalized_text(I,!1)}end(){let _;this.token_cache.length>0?(_=this.tokenizer.decode(this.token_cache,this.decode_kwargs).slice(this.print_len),this.token_cache=[],this.print_len=0):_="",this.next_tokens_are_prompt=!0,this.on_finalized_text(_,!0)}on_finalized_text(_,T){var M,I;_.length>0&&((M=this.callback_function)==null||M.call(this,_)),T&&this.callback_function===d&&a.apis.IS_PROCESS_AVAILABLE&&((I=this.callback_function)==null||I.call(this,`
`))}}class p extends c{constructor(_,{skip_prompt:T=!1,callback_function:M=null,token_callback_function:I=null,on_chunk_start:C=null,on_chunk_end:E=null,on_finalize:x=null,time_precision:k=.02,skip_special_tokens:A=!0,decode_kwargs:N={}}={}){super(_,{skip_prompt:T,callback_function:M,token_callback_function:I,decode_kwargs:{skip_special_tokens:A,...N}}),this.timestamp_begin=_.timestamp_begin,this.on_chunk_start=C,this.on_chunk_end=E,this.on_finalize=x,this.time_precision=k,this.waiting_for_timestamp=!1}put(_){var M,I;if(_.length>1)throw Error("WhisperTextStreamer only supports batch size of 1");const T=_[0];if(T.length===1){const C=Number(T[0])-this.timestamp_begin;if(C>=0){const E=C*this.time_precision;this.waiting_for_timestamp?(M=this.on_chunk_end)==null||M.call(this,E):(I=this.on_chunk_start)==null||I.call(this,E),this.waiting_for_timestamp=!this.waiting_for_timestamp,_=[[]]}}return super.put(_)}end(){var _;super.end(),(_=this.on_finalize)==null||_.call(this)}}},"./src/models.js":(e,t,n)=>{n.r(t),n.d(t,{ASTForAudioClassification:()=>ua,ASTModel:()=>gn,ASTPreTrainedModel:()=>Fi,AlbertForMaskedLM:()=>Pn,AlbertForQuestionAnswering:()=>Ts,AlbertForSequenceClassification:()=>Qs,AlbertModel:()=>$i,AlbertPreTrainedModel:()=>ts,AutoModel:()=>_c,AutoModelForAudioClassification:()=>Gp,AutoModelForAudioFrameClassification:()=>th,AutoModelForCTC:()=>Jf,AutoModelForCausalLM:()=>qf,AutoModelForDepthEstimation:()=>ih,AutoModelForDocumentQuestionAnswering:()=>nh,AutoModelForImageClassification:()=>Xf,AutoModelForImageFeatureExtraction:()=>oh,AutoModelForImageMatting:()=>rh,AutoModelForImageSegmentation:()=>Qf,AutoModelForImageToImage:()=>qp,AutoModelForMaskGeneration:()=>xc,AutoModelForMaskedLM:()=>Hf,AutoModelForNormalEstimation:()=>sh,AutoModelForObjectDetection:()=>Yf,AutoModelForQuestionAnswering:()=>wc,AutoModelForSemanticSegmentation:()=>bc,AutoModelForSeq2SeqLM:()=>sl,AutoModelForSequenceClassification:()=>yc,AutoModelForSpeechSeq2Seq:()=>Wf,AutoModelForTextToSpectrogram:()=>Gf,AutoModelForTextToWaveform:()=>vc,AutoModelForTokenClassification:()=>Uf,AutoModelForVision2Seq:()=>Kf,AutoModelForXVector:()=>eh,AutoModelForZeroShotObjectDetection:()=>Zf,BartForConditionalGeneration:()=>K,BartForSequenceClassification:()=>ye,BartModel:()=>it,BartPretrainedModel:()=>_i,BaseModelOutput:()=>pt,BeitForImageClassification:()=>Ui,BeitModel:()=>Yn,BeitPreTrainedModel:()=>Qn,BertForMaskedLM:()=>ct,BertForQuestionAnswering:()=>je,BertForSequenceClassification:()=>Et,BertForTokenClassification:()=>Rt,BertModel:()=>et,BertPreTrainedModel:()=>Ye,BlenderbotForConditionalGeneration:()=>fn,BlenderbotModel:()=>Jt,BlenderbotPreTrainedModel:()=>Lt,BlenderbotSmallForConditionalGeneration:()=>On,BlenderbotSmallModel:()=>Wn,BlenderbotSmallPreTrainedModel:()=>Rn,BloomForCausalLM:()=>$,BloomModel:()=>y,BloomPreTrainedModel:()=>h,CLIPModel:()=>Do,CLIPPreTrainedModel:()=>_o,CLIPSegForImageSegmentation:()=>vo,CLIPSegModel:()=>fi,CLIPSegPreTrainedModel:()=>Lo,CLIPTextModelWithProjection:()=>Oi,CLIPVisionModelWithProjection:()=>zo,CamembertForMaskedLM:()=>_e,CamembertForQuestionAnswering:()=>Je,CamembertForSequenceClassification:()=>Be,CamembertForTokenClassification:()=>st,CamembertModel:()=>ht,CamembertPreTrainedModel:()=>jt,CausalLMOutput:()=>Xo,CausalLMOutputWithPast:()=>Hp,ChineseCLIPModel:()=>pa,ChineseCLIPPreTrainedModel:()=>ha,ClapAudioModelWithProjection:()=>pf,ClapModel:()=>ff,ClapPreTrainedModel:()=>ic,ClapTextModelWithProjection:()=>hf,CodeGenForCausalLM:()=>Xa,CodeGenModel:()=>ns,CodeGenPreTrainedModel:()=>bo,CohereForCausalLM:()=>ya,CohereModel:()=>el,CoherePreTrainedModel:()=>Ja,ConvBertForMaskedLM:()=>q,ConvBertForQuestionAnswering:()=>me,ConvBertForSequenceClassification:()=>re,ConvBertForTokenClassification:()=>V,ConvBertModel:()=>Ee,ConvBertPreTrainedModel:()=>ue,ConvNextForImageClassification:()=>Rd,ConvNextModel:()=>zd,ConvNextPreTrainedModel:()=>Lu,ConvNextV2ForImageClassification:()=>Bd,ConvNextV2Model:()=>Ld,ConvNextV2PreTrainedModel:()=>Bu,DPTForDepthEstimation:()=>Pd,DPTModel:()=>Cd,DPTPreTrainedModel:()=>Du,DebertaForMaskedLM:()=>Wt,DebertaForQuestionAnswering:()=>Gt,DebertaForSequenceClassification:()=>ot,DebertaForTokenClassification:()=>nn,DebertaModel:()=>$t,DebertaPreTrainedModel:()=>_t,DebertaV2ForMaskedLM:()=>hn,DebertaV2ForQuestionAnswering:()=>yn,DebertaV2ForSequenceClassification:()=>Sn,DebertaV2ForTokenClassification:()=>Tn,DebertaV2Model:()=>mn,DebertaV2PreTrainedModel:()=>Mt,DeiTForImageClassification:()=>Md,DeiTModel:()=>Td,DeiTPreTrainedModel:()=>Cu,DepthAnythingForDepthEstimation:()=>$d,DepthAnythingPreTrainedModel:()=>Ad,DetrForObjectDetection:()=>ii,DetrForSegmentation:()=>Rs,DetrModel:()=>ri,DetrObjectDetectionOutput:()=>si,DetrPreTrainedModel:()=>Hn,DetrSegmentationOutput:()=>gs,Dinov2ForImageClassification:()=>jd,Dinov2Model:()=>Nd,Dinov2PreTrainedModel:()=>Nu,DistilBertForMaskedLM:()=>Qt,DistilBertForQuestionAnswering:()=>Pt,DistilBertForSequenceClassification:()=>zn,DistilBertForTokenClassification:()=>kn,DistilBertModel:()=>$n,DistilBertPreTrainedModel:()=>En,DonutSwinModel:()=>Es,DonutSwinPreTrainedModel:()=>Dd,EfficientNetForImageClassification:()=>Op,EfficientNetModel:()=>yf,EfficientNetPreTrainedModel:()=>lc,ElectraForMaskedLM:()=>Ze,ElectraForQuestionAnswering:()=>Nt,ElectraForSequenceClassification:()=>Dt,ElectraForTokenClassification:()=>Tt,ElectraModel:()=>$e,ElectraPreTrainedModel:()=>ge,EsmForMaskedLM:()=>Ci,EsmForSequenceClassification:()=>xs,EsmForTokenClassification:()=>gr,EsmModel:()=>Ar,EsmPreTrainedModel:()=>dn,FalconForCausalLM:()=>rc,FalconModel:()=>df,FalconPreTrainedModel:()=>cf,FastViTForImageClassification:()=>nt,FastViTModel:()=>Xe,FastViTPreTrainedModel:()=>lt,Florence2ForConditionalGeneration:()=>Oo,Florence2PreTrainedModel:()=>ca,GLPNForDepthEstimation:()=>Od,GLPNModel:()=>kp,GLPNPreTrainedModel:()=>Ru,GPT2LMHeadModel:()=>Bo,GPT2Model:()=>qa,GPT2PreTrainedModel:()=>Zs,GPTBigC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i=n("./src/configs.js"),o=n("./src/backends/onnx.js"),a=n("./src/utils/dtypes.js"),l=n("./src/utils/generic.js"),d=n("./src/utils/core.js"),c=n("./src/utils/hub.js"),p=n("./src/generation/logits_process.js"),v=n("./src/generation/configuration_utils.js"),_=n("./src/utils/tensor.js"),T=n("./src/utils/maths.js"),M=n("./src/generation/stopping_criteria.js"),I=n("./src/generation/logits_sampler.js"),C=n("./src/env.js"),E=n("./src/models/whisper/generation_whisper.js"),x=n("./src/models/whisper/common_whisper.js");const k={EncoderOnly:0,EncoderDecoder:1,Seq2Seq:2,Vision2Seq:3,DecoderOnly:4,MaskGeneration:5,ImageTextToText:6,Musicgen:7},A=new Map,N=new Map,R=new Map;async function B(H,X,de){let De=de.device;De&&typeof De!="string"&&(De.hasOwnProperty(X)?De=De[X]:(console.warn(`device not specified for "${X}". Using the default device.`),De=null));const kt=De??(C.apis.IS_NODE_ENV?"cpu":"wasm"),At=(0,o.deviceToExecutionProviders)(kt);let Vt=de.dtype;typeof Vt!="string"&&(Vt&&Vt.hasOwnProperty(X)?Vt=Vt[X]:(Vt=a.DEFAULT_DEVICE_DTYPE_MAPPING[kt]??a.DATA_TYPES.fp32,console.warn(`dtype not specified for "${X}". Using the default dtype (${Vt}) for this device (${kt}).`)));const un=Vt;if(a.DEFAULT_DTYPE_SUFFIX_MAPPING.hasOwnProperty(un)){if(un===a.DATA_TYPES.fp16&&kt==="webgpu"&&!await(0,a.isWebGpuFp16Supported)())throw new Error(`The device (${kt}) does not support fp16.`)}else throw new Error(`Invalid dtype: ${un}. Should be one of: ${Object.keys(a.DATA_TYPES).join(", ")}`);const Cn=a.DEFAULT_DTYPE_SUFFIX_MAPPING[un],Kn=`${de.subfolder??""}/${X}${Cn}.onnx`,rr={...de.session_options};rr.executionProviders??(rr.executionProviders=At);const Tr=(0,c.getModelFile)(H,Kn,!0,de);let ir=[];if(de.use_external_data_format&&(de.use_external_data_format===!0||typeof de.use_external_data_format=="object"&&de.use_external_data_format.hasOwnProperty(X)&&de.use_external_data_format[X]===!0)){if(C.apis.IS_NODE_ENV)throw new Error("External data format is not yet supported in Node.js");const er=`${X}${Cn}.onnx_data`,or=`${de.subfolder??""}/${er}`;ir.push(new Promise(async(dr,Er)=>{const Gi=await(0,c.getModelFile)(H,or,!0,de);dr({path:er,data:Gi})}))}else rr.externalData!==void 0&&(ir=rr.externalData.map(async er=>{if(typeof er.data=="string"){const or=await(0,c.getModelFile)(H,er.data,!0,de);return{...er,data:or}}return er}));if(ir.length>0&&(rr.externalData=await Promise.all(ir)),kt==="webgpu"){const er=(0,i.getKeyValueShapes)(de.config,{prefix:"present"});if(Object.keys(er).length>0&&!(0,o.isONNXProxy)()){const or={};for(const dr in er)or[dr]="gpu-buffer";rr.preferredOutputLocation=or}}return{buffer:await Tr,session_options:rr}}async function W(H,X,de){return Object.fromEntries(await Promise.all(Object.keys(X).map(async De=>{const{buffer:kt,session_options:At}=await B(H,X[De],de),Vt=await(0,o.createInferenceSession)(kt,At);return[De,Vt]})))}function j(H,X){const de=Object.create(null),De=[];for(const Vt of H.inputNames){const un=X[Vt];if(!(un instanceof _.Tensor)){De.push(Vt);continue}de[Vt]=(0,o.isONNXProxy)()?un.clone():un}if(De.length>0)throw new Error(`An error occurred during model execution: "Missing the following inputs: ${De.join(", ")}.`);const kt=Object.keys(X).length,At=H.inputNames.length;if(kt>At){let Vt=Object.keys(X).filter(un=>!H.inputNames.includes(un));console.warn(`WARNING: Too many inputs were provided (${kt} > ${At}). The following inputs will be ignored: "${Vt.join(", ")}".`)}return de}async function ae(H,X){const de=j(H,X);try{const De=Object.fromEntries(Object.entries(de).map(([At,Vt])=>[At,Vt.ort_tensor]));let kt=await H.run(De);return kt=ve(kt),kt}catch(De){throw console.error(`An error occurred during model execution: "${De}".`),console.error("Inputs given to model:",de),De}}function ve(H){for(let X in H)(0,o.isONNXTensor)(H[X])?H[X]=new _.Tensor(H[X]):typeof H[X]=="object"&&ve(H[X]);return H}function Ne(H){if(H instanceof _.Tensor)return H;if(H.length===0)throw Error("items must be non-empty");if(Array.isArray(H[0])){if(H.some(X=>X.length!==H[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new _.Tensor("int64",BigInt64Array.from(H.flat().map(X=>BigInt(X))),[H.length,H[0].length])}else return new _.Tensor("int64",BigInt64Array.from(H.map(X=>BigInt(X))),[1,H.length])}function oe(H){return new _.Tensor("bool",[H],[1])}async function Se(H,X){let{encoder_outputs:de,input_ids:De,decoder_input_ids:kt,...At}=X;if(!de){const un=(0,d.pick)(X,H.sessions.model.inputNames);de=(await G(H,un)).last_hidden_state}return At.input_ids=kt,At.encoder_hidden_states=de,H.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask")&&(At.encoder_attention_mask=X.attention_mask),await Ce(H,At,!0)}async function G(H,X){const de=H.sessions.model,De=(0,d.pick)(X,de.inputNames);if(de.inputNames.includes("inputs_embeds")&&!De.inputs_embeds){if(!X.input_ids)throw new Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");De.inputs_embeds=await H.encode_text({input_ids:X.input_ids})}return de.inputNames.includes("token_type_ids")&&!De.token_type_ids&&(De.token_type_ids=new _.Tensor("int64",new BigInt64Array(De.input_ids.data.length),De.input_ids.dims)),await ae(de,De)}async function Ce(H,X,de=!1){const De=H.sessions[de?"decoder_model_merged":"model"],{past_key_values:kt,...At}=X;De.inputNames.includes("use_cache_branch")&&(At.use_cache_branch=oe(!!kt)),De.inputNames.includes("position_ids")&&At.attention_mask&&!At.position_ids&&(At.position_ids=Me(At,kt)),H.addPastKeyValues(At,kt);const Vt=(0,d.pick)(At,De.inputNames);return await ae(De,Vt)}async function gt(H,{input_ids:X=null,attention_mask:de=null,pixel_values:De=null,position_ids:kt=null,inputs_embeds:At=null,past_key_values:Vt=null,generation_config:un=null,logits_processor:Cn=null,...Kn}){if(!At){if(At=await H.encode_text({input_ids:X}),De&&X.dims[1]!==1){const Tr=await H.encode_image({pixel_values:De});({inputs_embeds:At,attention_mask:de}=H._merge_input_ids_with_image_features({image_features:Tr,inputs_embeds:At,input_ids:X,attention_mask:de}))}else if(Vt&&De&&X.dims[1]===1){const Tr=X.dims[1],ir=Object.values(Vt)[0].dims.at(-2);de=(0,_.cat)([(0,_.ones)([X.dims[0],ir]),de.slice(null,[de.dims[1]-Tr,de.dims[1]])],1)}}return await Ce(H,{inputs_embeds:At,past_key_values:Vt,attention_mask:de,position_ids:kt,generation_config:un,logits_processor:Cn},!0)}function Me(H,X=null){const{input_ids:de,inputs_embeds:De,attention_mask:kt}=H,[At,Vt]=kt.dims,un=new BigInt64Array(kt.data.length);for(let Kn=0;Kn<At;++Kn){const rr=Kn*Vt;let Tr=BigInt(0);for(let ir=0;ir<Vt;++ir){const cr=rr+ir;kt.data[cr]===0n?un[cr]=BigInt(1):(un[cr]=Tr,Tr+=kt.data[cr])}}let Cn=new _.Tensor("int64",un,kt.dims);if(X){const Kn=-(de??De).dims.at(1);Cn=Cn.slice(null,[Kn,null])}return Cn}function te(H,X,de,De){if(de.past_key_values){const kt=Object.values(de.past_key_values)[0].dims.at(-2),{input_ids:At,attention_mask:Vt}=de;if(!(Vt&&Vt.dims[1]>At.dims[1])){if(kt<At.dims[1])de.input_ids=At.slice(null,[kt,null]);else if(H.config.image_token_index!=null&&At.data.some(un=>un==H.config.image_token_index)){const un=H.config.num_image_tokens;if(!un)throw new Error("`num_image_tokens` is missing in the model configuration.");const Cn=At.dims[1]-(kt-un);de.input_ids=At.slice(null,[-Cn,null]),de.attention_mask=(0,_.ones)([1,kt+Cn])}}}return de}function fe(H,X,de,De){return de.past_key_values&&(X=X.map(kt=>[kt.at(-1)])),{...de,decoder_input_ids:Ne(X)}}function Ae(H,...X){return H.config.is_encoder_decoder?fe(H,...X):te(H,...X)}class ne extends l.Callable{constructor(de,De){super();ft(this,"main_input_name","input_ids");ft(this,"forward_params",["input_ids","attention_mask"]);this.config=de,this.sessions=De;const kt=R.get(this.constructor),At=A.get(kt);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,At){case k.DecoderOnly:this.can_generate=!0,this._forward=Ce,this._prepare_inputs_for_generation=te;break;case k.Seq2Seq:case k.Vision2Seq:case k.Musicgen:this.can_generate=!0,this._forward=Se,this._prepare_inputs_for_generation=fe;break;case k.EncoderDecoder:this._forward=Se;break;case k.ImageTextToText:this.can_generate=!0,this._forward=gt,this._prepare_inputs_for_generation=Ae;break;default:this._forward=G;break}this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){var De;const de=[];for(const kt of Object.values(this.sessions))(De=kt==null?void 0:kt.handler)!=null&&De.dispose&&de.push(kt.handler.dispose());return await Promise.all(de)}static async from_pretrained(de,{progress_callback:De=null,config:kt=null,cache_dir:At=null,local_files_only:Vt=!1,revision:un="main",model_file_name:Cn=null,subfolder:Kn="onnx",device:rr=null,dtype:Tr=null,use_external_data_format:ir=null,session_options:cr={}}={}){let er={progress_callback:De,config:kt,cache_dir:At,local_files_only:Vt,revision:un,model_file_name:Cn,subfolder:Kn,device:rr,dtype:Tr,use_external_data_format:ir,session_options:cr};const or=R.get(this),dr=A.get(or);kt=er.config=await i.AutoConfig.from_pretrained(de,er);let Er;if(dr===k.DecoderOnly)Er=await Promise.all([W(de,{model:er.model_file_name??"model"},er),(0,c.getModelJSON)(de,"generation_config.json",!1,er)]);else if(dr===k.Seq2Seq||dr===k.Vision2Seq)Er=await Promise.all([W(de,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},er),(0,c.getModelJSON)(de,"generation_config.json",!1,er)]);else if(dr===k.MaskGeneration)Er=await Promise.all([W(de,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},er)]);else if(dr===k.EncoderDecoder)Er=await Promise.all([W(de,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},er)]);else if(dr===k.ImageTextToText){const Gi={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};kt.is_encoder_decoder&&(Gi.model="encoder_model"),Er=await Promise.all([W(de,Gi,er),(0,c.getModelJSON)(de,"generation_config.json",!1,er)])}else dr===k.Musicgen?Er=await Promise.all([W(de,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},er),(0,c.getModelJSON)(de,"generation_config.json",!1,er)]):(dr!==k.EncoderOnly&&console.warn(`Model type for '${or??(kt==null?void 0:kt.model_type)}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`),Er=await Promise.all([W(de,{model:er.model_file_name??"model"},er)]));return new this(kt,...Er)}async _call(de){return await this.forward(de)}async forward(de){return await this._forward(this,de)}_get_logits_warper(de){const De=new p.LogitsProcessorList;return de.temperature!==null&&de.temperature!==1&&De.push(new p.TemperatureLogitsWarper(de.temperature)),de.top_k!==null&&de.top_k!==0&&De.push(new p.TopKLogitsWarper(de.top_k)),de.top_p!==null&&de.top_p<1&&De.push(new p.TopPLogitsWarper(de.top_p)),De}_get_logits_processor(de,De,kt=null){const At=new p.LogitsProcessorList;if(de.repetition_penalty!==null&&de.repetition_penalty!==1&&At.push(new p.RepetitionPenaltyLogitsProcessor(de.repetition_penalty)),de.no_repeat_ngram_size!==null&&de.no_repeat_ngram_size>0&&At.push(new p.NoRepeatNGramLogitsProcessor(de.no_repeat_ngram_size)),de.bad_words_ids!==null&&At.push(new p.NoBadWordsLogitsProcessor(de.bad_words_ids,de.eos_token_id)),de.min_length!==null&&de.eos_token_id!==null&&de.min_length>0&&At.push(new p.MinLengthLogitsProcessor(de.min_length,de.eos_token_id)),de.min_new_tokens!==null&&de.eos_token_id!==null&&de.min_new_tokens>0&&At.push(new p.MinNewTokensLengthLogitsProcessor(De,de.min_new_tokens,de.eos_token_id)),de.forced_bos_token_id!==null&&At.push(new p.ForcedBOSTokenLogitsProcessor(de.forced_bos_token_id)),de.forced_eos_token_id!==null&&At.push(new p.ForcedEOSTokenLogitsProcessor(de.max_length,de.forced_eos_token_id)),de.begin_suppress_tokens!==null){const Vt=De>1||de.forced_bos_token_id===null?De:De+1;At.push(new p.SuppressTokensAtBeginLogitsProcessor(de.begin_suppress_tokens,Vt))}return de.guidance_scale!==null&&de.guidance_scale>1&&At.push(new p.ClassifierFreeGuidanceLogitsProcessor(de.guidance_scale)),kt!==null&&At.extend(kt),At}_prepare_generation_config(de,De,kt=v.GenerationConfig){const At={...this.config};for(const un of["decoder","generator","text_config"])un in At&&Object.assign(At,At[un]);const Vt=new kt(At);return"generation_config"in this&&Object.assign(Vt,this.generation_config),de&&Object.assign(Vt,de),De&&Object.assign(Vt,(0,d.pick)(De,Object.getOwnPropertyNames(Vt))),Vt}_get_stopping_criteria(de,De=null){const kt=new M.StoppingCriteriaList;return de.max_length!==null&&kt.push(new M.MaxLengthCriteria(de.max_length,this.config.max_position_embeddings??null)),de.eos_token_id!==null&&kt.push(new M.EosTokenCriteria(de.eos_token_id)),De&&kt.extend(De),kt}_validate_model_class(){if(!this.can_generate){const de=[Cf,gc,mc,pc],De=R.get(this.constructor),kt=new Set,At=this.config.model_type;for(const un of de){const Cn=un.get(At);Cn&&kt.add(Cn[0])}let Vt=`The current model class (${De}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw kt.size>0&&(Vt+=` Please use the following class instead: ${[...kt].join(", ")}`),Error(Vt)}}prepare_inputs_for_generation(...de){return this._prepare_inputs_for_generation(this,...de)}_update_model_kwargs_for_generation({generated_input_ids:de,outputs:De,model_inputs:kt,is_encoder_decoder:At}){return kt.past_key_values=this.getPastKeyValues(De,kt.past_key_values),kt.input_ids=new _.Tensor("int64",de.flat(),[de.length,1]),At||(kt.attention_mask=(0,_.cat)([kt.attention_mask,(0,_.ones)([kt.attention_mask.dims[0],1])],1)),kt.position_ids=null,kt}_prepare_model_inputs({inputs:de,bos_token_id:De,model_kwargs:kt}){const At=(0,d.pick)(kt,this.forward_params),Vt=this.main_input_name;if(Vt in At){if(de)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else At[Vt]=de;return{inputs_tensor:At[Vt],model_inputs:At,model_input_name:Vt}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:de,model_inputs:De,model_input_name:kt,generation_config:At}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!De.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:un,pixel_values:Cn,attention_mask:Kn,...rr}=De,Tr=await this._prepare_inputs_embeds(De);De={...rr,...(0,d.pick)(Tr,["inputs_embeds","attention_mask"])}}let{last_hidden_state:Vt}=await G(this,De);if(At.guidance_scale!==null&&At.guidance_scale>1)Vt=(0,_.cat)([Vt,(0,_.full_like)(Vt,0)],0),"attention_mask"in De&&(De.attention_mask=(0,_.cat)([De.attention_mask,(0,_.zeros_like)(De.attention_mask)],0));else if(De.decoder_input_ids){const un=Ne(De.decoder_input_ids).dims[0];if(un!==Vt.dims[0]){if(Vt.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${Vt.dims[0]}) than the decoder inputs (${un}).`);Vt=(0,_.cat)(Array.from({length:un},()=>Vt),0)}}return De.encoder_outputs=Vt,De}_prepare_decoder_input_ids_for_generation({batch_size:de,model_input_name:De,model_kwargs:kt,decoder_start_token_id:At,bos_token_id:Vt,generation_config:un}){let{decoder_input_ids:Cn,...Kn}=kt;if(Cn)Array.isArray(Cn[0])||(Cn=Array.from({length:de},()=>Cn));else if(At??(At=Vt),this.config.model_type==="musicgen")Cn=Array.from({length:de*this.config.decoder.num_codebooks},()=>[At]);else if(Array.isArray(At)){if(At.length!==de)throw new Error(`\`decoder_start_token_id\` expcted to have length ${de} but got ${At.length}`);Cn=At}else Cn=Array.from({length:de},()=>[At]);return Cn=Ne(Cn),kt.decoder_attention_mask=(0,_.ones_like)(Cn),{input_ids:Cn,model_inputs:Kn}}async generate({inputs:de=null,generation_config:De=null,logits_processor:kt=null,stopping_criteria:At=null,streamer:Vt=null,...un}){this._validate_model_class(),De=this._prepare_generation_config(De,un);let{inputs_tensor:Cn,model_inputs:Kn,model_input_name:rr}=this._prepare_model_inputs({inputs:de,model_kwargs:un});const Tr=this.config.is_encoder_decoder;Tr&&("encoder_outputs"in Kn||(Kn=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:Cn,model_inputs:Kn,model_input_name:rr,generation_config:De})));let ir;Tr?{input_ids:ir,model_inputs:Kn}=this._prepare_decoder_input_ids_for_generation({batch_size:Kn[rr].dims.at(0),model_input_name:rr,model_kwargs:Kn,decoder_start_token_id:De.decoder_start_token_id,bos_token_id:De.bos_token_id,generation_config:De}):ir=Kn[rr];let cr=ir.dims.at(-1);De.max_new_tokens!==null&&(De.max_length=cr+De.max_new_tokens);const er=this._get_logits_processor(De,cr,kt),or=this._get_stopping_criteria(De,At),dr=Kn[rr].dims.at(0),Er=I.LogitsSampler.getSampler(De),Gi=new Array(dr).fill(0),qi=ir.tolist();Vt&&Vt.put(qi);let Ls=null,Li={};for(;;){Kn=this.prepare_inputs_for_generation(qi,Kn,De);const Mi=await this.forward(Kn);if(De.output_attentions&&De.return_dict_in_generate){const Bs=this.getAttentions(Mi);for(const Ma in Bs)Ma in Li||(Li[Ma]=[]),Li[Ma].push(Bs[Ma])}const Tc=Mi.logits.slice(null,-1,null),Mc=er(qi,Tc),kc=[];for(let Bs=0;Bs<Mc.dims.at(0);++Bs){const Ma=Mc[Bs],u_=await Er(Ma);for(const[Kp,Xp]of u_){const ch=BigInt(Kp);Gi[Bs]+=Xp,qi[Bs].push(ch),kc.push([ch]);break}}if(Vt&&Vt.put(kc),or(qi).every(Bs=>Bs)){De.return_dict_in_generate&&(Ls=this.getPastKeyValues(Mi,Kn.past_key_values,!1));break}Kn=this._update_model_kwargs_for_generation({generated_input_ids:kc,outputs:Mi,model_inputs:Kn,is_encoder_decoder:Tr})}Vt&&Vt.end();const oi=new _.Tensor("int64",qi.flat(),[qi.length,qi[0].length]);return De.return_dict_in_generate?{sequences:oi,past_key_values:Ls,...Li}:oi}getPastKeyValues(de,De,kt=!0){const At=Object.create(null);for(const Vt in de)if(Vt.startsWith("present")){const un=Vt.replace("present","past_key_values");if(De&&Vt.includes("encoder"))At[un]=De[un];else{if(kt&&De){const Cn=De[un];Cn.location==="gpu-buffer"&&Cn.dispose()}At[un]=de[Vt]}}return At}getAttentions(de){const De={};for(const kt of["cross_attentions","encoder_attentions","decoder_attentions"])for(const At in de)At.startsWith(kt)&&(kt in De||(De[kt]=[]),De[kt].push(de[At]));return De}addPastKeyValues(de,De){if(De)Object.assign(de,De);else{const kt=this.custom_config.kv_cache_dtype??"float32",At=kt==="float16"?new Uint16Array:[],Vt=(0,i.getKeyValueShapes)(this.config);for(const un in Vt)de[un]=new _.Tensor(kt,At,Vt[un])}}async encode_image({pixel_values:de}){const De=(await ae(this.sessions.vision_encoder,{pixel_values:de})).image_features;return this.config.num_image_tokens||(console.warn(`The number of image tokens was not set in the model configuration. Setting it to the number of features detected by the vision encoder (${De.dims[1]}).`),this.config.num_image_tokens=De.dims[1]),De}async encode_text({input_ids:de}){return(await ae(this.sessions.embed_tokens,{input_ids:de})).inputs_embeds}}class xe{}class pt extends xe{constructor({last_hidden_state:X,hidden_states:de=null,attentions:De=null}){super(),this.last_hidden_state=X,this.hidden_states=de,this.attentions=De}}class Ye extends ne{}class et extends Ye{}class ct extends Ye{async _call(X){return new vi(await super._call(X))}}class Et extends Ye{async _call(X){return new Jn(await super._call(X))}}class Rt extends Ye{async _call(X){return new hi(await super._call(X))}}class je extends Ye{async _call(X){return new Ri(await super._call(X))}}class Ie extends ne{}class rt extends Ie{}class dt extends ne{}class xt extends dt{}class z extends dt{async _call(X){return new vi(await super._call(X))}}class Fe extends dt{async _call(X){return new Jn(await super._call(X))}}class Re extends dt{async _call(X){return new hi(await super._call(X))}}class he extends dt{async _call(X){return new Ri(await super._call(X))}}class ue extends ne{}class Ee extends ue{}class q extends ue{async _call(X){return new vi(await super._call(X))}}class re extends ue{async _call(X){return new Jn(await super._call(X))}}class V extends ue{async _call(X){return new hi(await super._call(X))}}class me extends ue{async _call(X){return new Ri(await super._call(X))}}class ge extends ne{}class $e extends ge{}class Ze extends ge{async _call(X){return new vi(await super._call(X))}}class Dt extends ge{async _call(X){return new Jn(await super._call(X))}}class Tt extends ge{async _call(X){return new hi(await super._call(X))}}class Nt extends ge{async _call(X){return new Ri(await super._call(X))}}class jt extends ne{}class ht extends jt{}class _e extends jt{async _call(X){return new vi(await super._call(X))}}class Be extends jt{async _call(X){return new Jn(await super._call(X))}}class st extends jt{async _call(X){return new hi(await super._call(X))}}class Je extends jt{async _call(X){return new Ri(await super._call(X))}}class _t extends ne{}class $t extends _t{}class Wt extends _t{async _call(X){return new vi(await super._call(X))}}class ot extends _t{async _call(X){return new Jn(await super._call(X))}}class nn extends _t{async _call(X){return new hi(await super._call(X))}}class Gt extends _t{async _call(X){return new Ri(await super._call(X))}}class Mt extends ne{}class mn extends Mt{}class hn extends Mt{async _call(X){return new vi(await super._call(X))}}class Sn extends Mt{async _call(X){return new Jn(await super._call(X))}}class Tn extends Mt{async _call(X){return new hi(await super._call(X))}}class yn extends Mt{async _call(X){return new Ri(await super._call(X))}}class En extends ne{}class $n extends En{}class zn extends En{async _call(X){return new Jn(await super._call(X))}}class kn extends En{async _call(X){return new hi(await super._call(X))}}class Pt extends En{async _call(X){return new Ri(await super._call(X))}}class Qt extends En{async _call(X){return new vi(await super._call(X))}}class dn extends ne{}class Ar extends dn{}class Ci extends dn{async _call(X){return new vi(await super._call(X))}}class xs extends dn{async _call(X){return new Jn(await super._call(X))}}class gr extends dn{async _call(X){return new hi(await super._call(X))}}class Nr extends ne{}class yr extends Nr{}class Pi extends Nr{async _call(X){return new vi(await super._call(X))}}class wr extends Nr{async _call(X){return new Jn(await super._call(X))}}class gi extends Nr{async _call(X){return new Ri(await super._call(X))}}class ds extends ne{}class fs extends ds{}class fo extends ds{async _call(X){return new vi(await super._call(X))}}class Xs extends ds{async _call(X){return new Jn(await super._call(X))}}class $r extends ds{async _call(X){return new hi(await super._call(X))}}class Ji extends ds{async _call(X){return new Ri(await super._call(X))}}class ui extends ne{}class Io extends ui{}class es extends ui{async _call(X){return new vi(await super._call(X))}}class Ai extends ui{async _call(X){return new Jn(await super._call(X))}}class hs extends ui{async _call(X){return new Ri(await super._call(X))}}class ts extends ne{}class $i extends ts{}class Qs extends ts{async _call(X){return new Jn(await super._call(X))}}class Ts extends ts{async _call(X){return new Ri(await super._call(X))}}class Pn extends ts{async _call(X){return new vi(await super._call(X))}}class Zn extends ne{constructor(de,De,kt){super(de,De);ft(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"]);this.generation_config=kt}}class ho extends Zn{}class po extends Zn{}class Ys extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class br extends Ys{}class Ms extends Ys{}class ps extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class ms extends ps{}class kr extends ps{}class _i extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class it extends _i{}class K extends _i{}class ye extends _i{async _call(X){return new Jn(await super._call(X))}}class Oe extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Ve extends Oe{}class He extends Oe{}class St extends Oe{async _call(X){return new Jn(await super._call(X))}}class Zt extends Oe{}class Lt extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Jt extends Lt{}class fn extends Lt{}class Rn extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Wn extends Rn{}class On extends Rn{}class bn extends ne{}class Bn extends bn{}class ci extends bn{async _call(X){return new vi(await super._call(X))}}class Qr extends bn{async _call(X){return new Jn(await super._call(X))}}class mt extends bn{async _call(X){return new hi(await super._call(X))}}class jr extends bn{async _call(X){return new Ri(await super._call(X))}}class tr extends ne{}class Rr extends tr{}class di extends tr{async _call(X){return new vi(await super._call(X))}}class Mn extends tr{async _call(X){return new Jn(await super._call(X))}}class Ii extends tr{async _call(X){return new hi(await super._call(X))}}class Ir extends tr{async _call(X){return new Ri(await super._call(X))}}class lr extends ne{}class ur extends lr{}class sn extends lr{async _call(X){return new vi(await super._call(X))}}class nr extends lr{async _call(X){return new Jn(await super._call(X))}}class _r extends lr{async _call(X){return new hi(await super._call(X))}}class Fr extends lr{async _call(X){return new Ri(await super._call(X))}}class Fi extends ne{}class gn extends Fi{}class ua extends Fi{}class Bt extends ne{constructor(de,De,kt){super(de,De);ft(this,"requires_attention_mask",!1);ft(this,"main_input_name","input_features");ft(this,"forward_params",["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"]);this.generation_config=kt}}class vn extends Bt{}class mo extends Bt{_prepare_generation_config(X,de){return super._prepare_generation_config(X,de,E.WhisperGenerationConfig)}_retrieve_init_tokens(X){const de=[X.decoder_start_token_id];let De=X.language;const kt=X.task;if(X.is_multilingual){De||(console.warn("No language specified - defaulting to English (en)."),De="en");const Vt=`<|${(0,x.whisper_language_to_code)(De)}|>`;de.push(X.lang_to_id[Vt]),de.push(X.task_to_id[kt??"transcribe"])}else if(De||kt)throw new Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!X.return_timestamps&&X.no_timestamps_token_id&&de.at(-1)!==X.no_timestamps_token_id?de.push(X.no_timestamps_token_id):X.return_timestamps&&de.at(-1)===X.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),de.pop()),de.filter(At=>At!=null)}async generate({inputs:X=null,generation_config:de=null,logits_processor:De=null,stopping_criteria:kt=null,...At}){de=this._prepare_generation_config(de,At);const Vt=At.decoder_input_ids??this._retrieve_init_tokens(de);if(de.return_timestamps&&(De??(De=new p.LogitsProcessorList),De.push(new p.WhisperTimeStampLogitsProcessor(de,Vt))),de.begin_suppress_tokens&&(De??(De=new p.LogitsProcessorList),De.push(new p.SuppressTokensAtBeginLogitsProcessor(de.begin_suppress_tokens,Vt.length))),de.return_token_timestamps){if(!de.alignment_heads)throw new Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");de.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),de.output_attentions=!0,de.return_dict_in_generate=!0}const un=await super.generate({inputs:X,generation_config:de,logits_processor:De,decoder_input_ids:Vt,...At});return de.return_token_timestamps&&(un.token_timestamps=this._extract_token_timestamps(un,de.alignment_heads,de.num_frames)),un}_extract_token_timestamps(X,de,De=null,kt=.02){if(!X.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");De==null&&console.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let At=this.config.median_filter_width;At===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),At=7);const Vt=X.cross_attentions,un=Array.from({length:this.config.decoder_layers},(or,dr)=>(0,_.cat)(Vt.map(Er=>Er[dr]),2)),Cn=(0,_.stack)(de.map(([or,dr])=>{if(or>=un.length)throw new Error(`Layer index ${or} is out of bounds for cross attentions (length ${un.length}).`);return De?un[or].slice(null,dr,null,[0,De]):un[or].slice(null,dr)})).transpose(1,0,2,3),[Kn,rr]=(0,_.std_mean)(Cn,-2,0,!0),Tr=Cn.clone();for(let or=0;or<Tr.dims[0];++or){const dr=Tr[or];for(let Er=0;Er<dr.dims[0];++Er){const Gi=dr[Er],qi=Kn[or][Er][0].data,Ls=rr[or][Er][0].data;for(let Li=0;Li<Gi.dims[0];++Li){let oi=Gi[Li].data;for(let Mi=0;Mi<oi.length;++Mi)oi[Mi]=(oi[Mi]-Ls[Mi])/qi[Mi];oi.set((0,T.medianFilter)(oi,At))}}}const ir=[(0,_.mean)(Tr,1)],cr=X.sequences.dims,er=new _.Tensor("float32",new Float32Array(cr[0]*cr[1]),cr);for(let or=0;or<cr[0];++or){const dr=ir[or].neg().squeeze_(0),[Er,Gi]=(0,T.dynamic_time_warping)(dr.tolist()),qi=Array.from({length:Er.length-1},(oi,Mi)=>Er[Mi+1]-Er[Mi]),Ls=(0,d.mergeArrays)([1],qi).map(oi=>!!oi),Li=[];for(let oi=0;oi<Ls.length;++oi)Ls[oi]&&Li.push(Gi[oi]*kt);er[or].data.set(Li,1)}return er}}class Fo extends ne{constructor(de,De,kt){super(de,De);ft(this,"main_input_name","pixel_values");ft(this,"forward_params",["pixel_values","input_ids","encoder_hidden_states","past_key_values"]);this.generation_config=kt}}class Bl extends ne{constructor(de,De,kt){super(de,De);ft(this,"forward_params",["input_ids","pixel_values","attention_mask","position_ids","past_key_values"]);this.generation_config=kt}}class go extends Bl{_merge_input_ids_with_image_features({inputs_embeds:X,image_features:de,input_ids:De,attention_mask:kt}){const At=this.config.image_token_index,un=De.tolist().map(ir=>ir.findIndex(cr=>cr==At)),Cn=un.every(ir=>ir===-1),Kn=un.every(ir=>ir!==-1);if(!Cn&&!Kn)throw new Error("Every input should contain either 0 or 1 image token.");if(Cn)return{inputs_embeds:X,attention_mask:kt};const rr=[],Tr=[];for(let ir=0;ir<un.length;++ir){const cr=un[ir],er=X[ir],or=de[ir],dr=kt[ir];rr.push((0,_.cat)([er.slice([0,cr]),or,er.slice([cr+1,er.dims[0]])],0)),Tr.push((0,_.cat)([dr.slice([0,cr]),(0,_.ones)([or.dims[0]]),dr.slice([cr+1,dr.dims[0]])],0))}return{inputs_embeds:(0,_.stack)(rr,0),attention_mask:(0,_.stack)(Tr,0)}}}class Vn extends go{}class ca extends ne{constructor(de,De,kt){super(de,De);ft(this,"forward_params",["input_ids","inputs_embeds","attention_mask","pixel_values","encoder_outputs","decoder_input_ids","decoder_inputs_embeds","decoder_attention_mask","past_key_values"]);ft(this,"main_input_name","inputs_embeds");this.generation_config=kt}}class Oo extends ca{_merge_input_ids_with_image_features({inputs_embeds:X,image_features:de,input_ids:De,attention_mask:kt}){return{inputs_embeds:(0,_.cat)([de,X],1),attention_mask:(0,_.cat)([(0,_.ones)(de.dims.slice(0,2)),kt],1)}}async _prepare_inputs_embeds({input_ids:X,pixel_values:de,inputs_embeds:De,attention_mask:kt}){if(!X&&!de)throw new Error("Either `input_ids` or `pixel_values` should be provided.");let At,Vt;return X&&(At=await this.encode_text({input_ids:X})),de&&(Vt=await this.encode_image({pixel_values:de})),At&&Vt?{inputs_embeds:De,attention_mask:kt}=this._merge_input_ids_with_image_features({inputs_embeds:At,image_features:Vt,input_ids:X,attention_mask:kt}):De=At||Vt,{inputs_embeds:De,attention_mask:kt}}async forward({input_ids:X,pixel_values:de,attention_mask:De,decoder_input_ids:kt,decoder_attention_mask:At,encoder_outputs:Vt,past_key_values:un,inputs_embeds:Cn,decoder_inputs_embeds:Kn}){if(Cn||({inputs_embeds:Cn,attention_mask:De}=await this._prepare_inputs_embeds({input_ids:X,pixel_values:de,inputs_embeds:Cn,attention_mask:De})),!Vt){let{last_hidden_state:ir}=await G(this,{inputs_embeds:Cn,attention_mask:De});Vt=ir}if(!Kn){if(!kt)throw new Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");Kn=await this.encode_text({input_ids:kt})}return await Ce(this,{inputs_embeds:Kn,attention_mask:At,encoder_attention_mask:De,encoder_hidden_states:Vt,past_key_values:un},!0)}}class _o extends ne{}class Do extends _o{}class Oi extends _o{static async from_pretrained(X,de={}){return de.model_file_name??(de.model_file_name="text_model"),super.from_pretrained(X,de)}}class zo extends _o{static async from_pretrained(X,de={}){return de.model_file_name??(de.model_file_name="vision_model"),super.from_pretrained(X,de)}}class da extends ne{}class yo extends da{}class Ro extends da{static async from_pretrained(X,de={}){return de.model_file_name??(de.model_file_name="text_model"),super.from_pretrained(X,de)}}class fa extends _o{static async from_pretrained(X,de={}){return de.model_file_name??(de.model_file_name="vision_model"),super.from_pretrained(X,de)}}class ha extends ne{}class pa extends ha{}class Lo extends ne{}class fi extends Lo{}class vo extends Lo{}class Zs extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class qa extends Zs{}class Bo extends Zs{}class Di extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Ha extends Di{}class No extends Di{}class jo extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Ds extends jo{}class ma extends jo{}class Vo extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Uo extends Vo{}class ga extends Vo{}class _a extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Nl extends _a{}class Ka extends _a{}class yi extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class jl extends yi{}class wo extends yi{}class bo extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class ns extends bo{}class Xa extends bo{}class Qa extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Ya extends Qa{}class Za extends Qa{}class Ja extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class el extends Ja{}class ya extends Ja{}class va extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class tl extends va{}class Vl extends va{}class Vi extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Ul extends Vi{}class Wo extends Vi{}class rs extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Lr extends rs{}class Go extends rs{}class xi extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Wl extends xi{}class wa extends xi{}class ba extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class zs extends ba{}class qo extends ba{}class ks extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Ss extends ks{}class nl extends ks{}class h extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class y extends h{}class $ extends h{}class U extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Z extends U{}class le extends U{}class Te extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Le extends Te{}class Qe extends Te{}class qe extends ne{}class at extends qe{}class Ue extends qe{async _call(X){return new Jn(await super._call(X))}}class lt extends ne{}class Xe extends lt{}class nt extends lt{async _call(X){return new Jn(await super._call(X))}}class ut extends ne{}class tt extends ut{async _call(X){return new lh(await super._call(X))}}class yt extends ne{}class wt extends yt{}class bt extends yt{async _call(X){return new Jn(await super._call(X))}}class vt extends ne{}class Xt extends vt{}class on extends vt{async _call(X){return new Jn(await super._call(X))}}class Kt extends ne{}class rn extends Kt{}class ln extends Kt{}class qt extends ne{}class Un extends qt{}class Gn extends qt{}class Qn extends ne{}class Yn extends Qn{}class Ui extends Qn{async _call(X){return new Jn(await super._call(X))}}class Hn extends ne{}class ri extends Hn{}class ii extends Hn{async _call(X){return new si(await super._call(X))}}class Rs extends Hn{async _call(X){return new gs(await super._call(X))}}class si extends xe{constructor({logits:X,pred_boxes:de}){super(),this.logits=X,this.pred_boxes=de}}class gs extends xe{constructor({logits:X,pred_boxes:de,pred_masks:De}){super(),this.logits=X,this.pred_boxes=de,this.pred_masks=De}}class Ho extends ne{}class _d extends Ho{}class yd extends Ho{async _call(X){return new vd(await super._call(X))}}class vd extends xe{constructor({logits:X,pred_boxes:de}){super(),this.logits=X,this.pred_boxes=de}}class Eu extends ne{}class wd extends Eu{}class bd extends Eu{async _call(X){return new xd(await super._call(X))}}class xd extends si{}class Cu extends ne{}class Td extends Cu{}class Md extends Cu{async _call(X){return new Jn(await super._call(X))}}class Pu extends ne{}class kd extends Pu{}class Sd extends Pu{async _call(X){return new Jn(await super._call(X))}}class Au extends ne{}class Ed extends Au{}class $u extends Au{async _call(X){return new Jn(await super._call(X))}}class Iu extends ne{}class Fu extends Iu{}class Ou extends Iu{}class Du extends ne{}class Cd extends Du{}class Pd extends Du{}class Ad extends ne{}class $d extends Ad{}class Gl extends ne{}class zu extends Gl{}class Id extends Gl{}class Fd extends Gl{}class Ru extends ne{}class kp extends Ru{}class Od extends Ru{}class Dd extends ne{}class Es extends Dd{}class Lu extends ne{}class zd extends Lu{}class Rd extends Lu{async _call(X){return new Jn(await super._call(X))}}class Bu extends ne{}class Ld extends Bu{}class Bd extends Bu{async _call(X){return new Jn(await super._call(X))}}class Nu extends ne{}class Nd extends Nu{}class jd extends Nu{async _call(X){return new Jn(await super._call(X))}}class ju extends ne{}class Sp extends ju{}class Vd extends ju{async _call(X){return new Ud(await super._call(X))}}class Ud extends xe{constructor({logits:X,pred_boxes:de}){super(),this.logits=X,this.pred_boxes=de}}class Wd extends ne{}class Gd extends Wd{async get_image_embeddings({pixel_values:X}){return await G(this,{pixel_values:X})}async forward(X){if((!X.image_embeddings||!X.image_positional_embeddings)&&(X={...X,...await this.get_image_embeddings(X)}),!X.input_labels&&X.input_points){const De=X.input_points.dims.slice(0,-1),kt=De.reduce((At,Vt)=>At*Vt,1);X.input_labels=new _.Tensor("int64",new BigInt64Array(kt).fill(1n),De)}const de={image_embeddings:X.image_embeddings,image_positional_embeddings:X.image_positional_embeddings};return X.input_points&&(de.input_points=X.input_points),X.input_labels&&(de.input_labels=X.input_labels),X.input_boxes&&(de.input_boxes=X.input_boxes),await ae(this.sessions.prompt_encoder_mask_decoder,de)}async _call(X){return new qd(await super._call(X))}}class qd extends xe{constructor({iou_scores:X,pred_masks:de}){super(),this.iou_scores=X,this.pred_masks=de}}class Vu extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Ep extends Vu{}class xo extends Vu{}class Js extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class To extends Js{}class Uu extends Js{}class Wi extends ne{}class Ti extends Wi{}class Wu extends Wi{async _call(X){return new Xo(await super._call(X))}}class ql extends Wi{async _call(X){return new Jn(await super._call(X))}}class Gu extends Wi{async _call(X){return new hi(await super._call(X))}}class qu extends ne{}class Hd extends qu{}class Kd extends qu{async _call(X){return new hi(await super._call(X))}}class Hl extends ne{}class Hu extends Hl{}class Kl extends ne{}class Xl extends Kl{}class Xd extends Kl{async _call(X){return new Xo(await super._call(X))}}class Ku extends Kl{async _call(X){return new Jn(await super._call(X))}}class Ko extends ne{}class Qd extends Ko{}class Yd extends Ko{async _call(X){return new Xo(await super._call(X))}}class Cp extends Ko{async _call(X){return new Jn(await super._call(X))}}class Zd extends Ko{async _call(X){return new hi(await super._call(X))}}class rl extends ne{}class il extends rl{}class Jd extends rl{async _call(X){return new Xo(await super._call(X))}}class Xu extends rl{async _call(X){return new Jn(await super._call(X))}}class Pp extends ne{}class ef extends Wi{}class tf extends Wi{async _call(X){return new Xo(await super._call(X))}}class Ap extends Wi{async _call(X){return new Jn(await super._call(X))}}class xa extends ne{}class nf extends xa{}class $p extends xa{async _call(X){return new Xo(await super._call(X))}}class Qu extends xa{async _call(X){return new Jn(await super._call(X))}}class rf extends xa{async _call(X){return new ah(await super._call(X))}}class sf extends xa{async _call(X){return new hi(await super._call(X))}}class Ql extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Yu extends Ql{}class Yl extends Ql{}class of extends Ql{async generate_speech(X,de,{threshold:De=.5,minlenratio:kt=0,maxlenratio:At=20,vocoder:Vt=null}={}){const un={input_ids:X},{encoder_outputs:Cn,encoder_attention_mask:Kn}=await G(this,un),rr=Cn.dims[1]/this.config.reduction_factor,Tr=Math.floor(rr*At),ir=Math.floor(rr*kt),cr=this.config.num_mel_bins;let er=[],or=null,dr=null,Er=0;for(;;){++Er;const Ls=oe(!!dr);let Li;dr?Li=dr.output_sequence_out:Li=new _.Tensor("float32",new Float32Array(cr),[1,1,cr]);let oi={use_cache_branch:Ls,output_sequence:Li,encoder_attention_mask:Kn,speaker_embeddings:de,encoder_hidden_states:Cn};this.addPastKeyValues(oi,or),dr=await ae(this.sessions.decoder_model_merged,oi),or=this.getPastKeyValues(dr,or);const{prob:Mi,spectrum:Tc}=dr;if(er.push(Tc),Er>=ir&&(Array.from(Mi.data).filter(Mc=>Mc>=De).length>0||Er>=Tr))break}const Gi=(0,_.cat)(er),{waveform:qi}=await ae(Vt.sessions.model,{spectrogram:Gi});return{spectrogram:Gi,waveform:qi}}}class Zl extends ne{constructor(){super(...arguments);ft(this,"main_input_name","spectrogram")}}class Zu extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Ju extends Zu{}class ec extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class af extends ec{}class tc extends ec{}class nc extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class lf extends nc{}class uf extends nc{}class cf extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class df extends cf{}class rc extends cf{}class ic extends ne{}class ff extends ic{}class hf extends ic{static async from_pretrained(X,de={}){return de.model_file_name??(de.model_file_name="text_model"),super.from_pretrained(X,de)}}class pf extends ic{static async from_pretrained(X,de={}){return de.model_file_name??(de.model_file_name="audio_model"),super.from_pretrained(X,de)}}class sc extends ne{}class oc extends sc{async _call(X){return new uh(await super._call(X))}}class Jl extends ne{}class Ip extends Jl{}class mf extends Jl{}class gf extends Jl{}class ac extends ne{constructor(X,de,De){super(X,de),this.generation_config=De}}class Fp extends ac{}class _f extends ac{}class lc extends ne{}class yf extends lc{}class Op extends lc{async _call(X){return new Jn(await super._call(X))}}class uc extends ne{}class Dp extends uc{}class zp extends uc{}class cc extends ne{constructor(de,De,kt){super(de,De);ft(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"]);this.generation_config=kt}_apply_and_filter_by_delay_pattern_mask(de){const[De,kt]=de.dims,At=this.config.decoder.num_codebooks,Vt=kt-At;let un=0;for(let rr=0;rr<de.size;++rr){if(de.data[rr]===this.config.decoder.pad_token_id)continue;const Tr=rr%kt,ir=Math.floor(rr/kt)%At,cr=Tr-ir;cr>0&&cr<=Vt&&(de.data[un++]=de.data[rr])}const Cn=Math.floor(De/At),Kn=un/(Cn*At);return new _.Tensor(de.type,de.data.slice(0,un),[Cn,At,Kn])}prepare_inputs_for_generation(de,De,kt){let At=structuredClone(de);for(let un=0;un<At.length;++un)for(let Cn=0;Cn<At[un].length;++Cn)un%this.config.decoder.num_codebooks>=Cn&&(At[un][Cn]=BigInt(this.config.decoder.pad_token_id));return kt.guidance_scale!==null&&kt.guidance_scale>1&&(At=At.concat(At)),super.prepare_inputs_for_generation(At,De,kt)}async generate(de){const De=await super.generate(de),kt=this._apply_and_filter_by_delay_pattern_mask(De).unsqueeze_(0),{audio_values:At}=await ae(this.sessions.encodec_decode,{audio_codes:kt});return At}}class dc extends ne{}class Rp extends dc{}class eu extends dc{async _call(X){return new Jn(await super._call(X))}}class Ta extends ne{}class fc extends Ta{}class vf extends Ta{async _call(X){return new Jn(await super._call(X))}}class hc extends ne{}class wf extends hc{}class bf extends hc{async _call(X){return new Jn(await super._call(X))}}class tu extends ne{}class xf extends tu{}class Tf extends tu{async _call(X){return new Jn(await super._call(X))}}class xr{static async from_pretrained(X,{progress_callback:de=null,config:De=null,cache_dir:kt=null,local_files_only:At=!1,revision:Vt="main",model_file_name:un=null,subfolder:Cn="onnx",device:Kn=null,dtype:rr=null,use_external_data_format:Tr=null,session_options:ir={}}={}){let cr={progress_callback:de,config:De,cache_dir:kt,local_files_only:At,revision:Vt,model_file_name:un,subfolder:Cn,device:Kn,dtype:rr,use_external_data_format:Tr,session_options:ir};if(cr.config=await i.AutoConfig.from_pretrained(X,cr),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);for(let er of this.MODEL_CLASS_MAPPINGS){const or=er.get(cr.config.model_type);if(or)return await or[1].from_pretrained(X,cr)}if(this.BASE_IF_FAIL)return console.warn(`Unknown model class "${cr.config.model_type}", attempting to construct from base class.`),await ne.from_pretrained(X,cr);throw Error(`Unsupported model type: ${cr.config.model_type}`)}}ft(xr,"MODEL_CLASS_MAPPINGS",null),ft(xr,"BASE_IF_FAIL",!1);const s_=new Map([["bert",["BertModel",et]],["nomic_bert",["NomicBertModel",rt]],["roformer",["RoFormerModel",xt]],["electra",["ElectraModel",$e]],["esm",["EsmModel",Ar]],["convbert",["ConvBertModel",Ee]],["camembert",["CamembertModel",ht]],["deberta",["DebertaModel",$t]],["deberta-v2",["DebertaV2Model",mn]],["mpnet",["MPNetModel",fs]],["albert",["AlbertModel",$i]],["distilbert",["DistilBertModel",$n]],["roberta",["RobertaModel",Bn]],["xlm",["XLMModel",Rr]],["xlm-roberta",["XLMRobertaModel",ur]],["clap",["ClapModel",ff]],["clip",["CLIPModel",Do]],["clipseg",["CLIPSegModel",fi]],["chinese_clip",["ChineseCLIPModel",pa]],["siglip",["SiglipModel",yo]],["mobilebert",["MobileBertModel",yr]],["squeezebert",["SqueezeBertModel",Io]],["wav2vec2",["Wav2Vec2Model",Ti]],["wav2vec2-bert",["Wav2Vec2BertModel",il]],["unispeech",["UniSpeechModel",Xl]],["unispeech-sat",["UniSpeechSatModel",Qd]],["hubert",["HubertModel",ef]],["wavlm",["WavLMModel",nf]],["audio-spectrogram-transformer",["ASTModel",gn]],["vits",["VitsModel",oc]],["pyannote",["PyAnnoteModel",Hd]],["wespeaker-resnet",["WeSpeakerResNetModel",Hu]],["detr",["DetrModel",ri]],["rt_detr",["RTDetrModel",_d]],["table-transformer",["TableTransformerModel",wd]],["vit",["ViTModel",at]],["fastvit",["FastViTModel",Xe]],["mobilevit",["MobileViTModel",wt]],["mobilevitv2",["MobileViTV2Model",Xt]],["owlvit",["OwlViTModel",rn]],["owlv2",["Owlv2Model",Un]],["beit",["BeitModel",Yn]],["deit",["DeiTModel",Td]],["convnext",["ConvNextModel",zd]],["convnextv2",["ConvNextV2Model",Ld]],["dinov2",["Dinov2Model",Nd]],["resnet",["ResNetModel",kd]],["swin",["SwinModel",Ed]],["swin2sr",["Swin2SRModel",Fu]],["donut-swin",["DonutSwinModel",Es]],["yolos",["YolosModel",Sp]],["dpt",["DPTModel",Cd]],["glpn",["GLPNModel",kp]],["hifigan",["SpeechT5HifiGan",Zl]],["efficientnet",["EfficientNetModel",yf]],["mobilenet_v1",["MobileNetV1Model",Rp]],["mobilenet_v2",["MobileNetV2Model",fc]],["mobilenet_v3",["MobileNetV3Model",wf]],["mobilenet_v4",["MobileNetV4Model",xf]]]),Lp=new Map([["t5",["T5Model",ho]],["longt5",["LongT5Model",br]],["mt5",["MT5Model",ms]],["bart",["BartModel",it]],["mbart",["MBartModel",Ve]],["marian",["MarianModel",Ep]],["whisper",["WhisperModel",vn]],["m2m_100",["M2M100Model",To]],["blenderbot",["BlenderbotModel",Jt]],["blenderbot-small",["BlenderbotSmallModel",Wn]]]),Mf=new Map([["bloom",["BloomModel",y]],["jais",["JAISModel",Ha]],["gpt2",["GPT2Model",qa]],["gptj",["GPTJModel",Nl]],["gpt_bigcode",["GPTBigCodeModel",jl]],["gpt_neo",["GPTNeoModel",Ds]],["gpt_neox",["GPTNeoXModel",Uo]],["codegen",["CodeGenModel",ns]],["llama",["LlamaModel",Ya]],["cohere",["CohereModel",el]],["gemma",["GemmaModel",tl]],["gemma2",["Gemma2Model",Ul]],["openelm",["OpenELMModel",Lr]],["qwen2",["Qwen2Model",Wl]],["phi",["PhiModel",zs]],["phi3",["Phi3Model",Ss]],["mpt",["MptModel",Z]],["opt",["OPTModel",Le]],["mistral",["MistralModel",af]],["starcoder2",["Starcoder2Model",lf]],["falcon",["FalconModel",df]],["stablelm",["StableLmModel",Fp]]]),pc=new Map([["speecht5",["SpeechT5ForSpeechToText",Yl]],["whisper",["WhisperForConditionalGeneration",mo]]]),kf=new Map([["speecht5",["SpeechT5ForTextToSpeech",of]]]),Sf=new Map([["vits",["VitsModel",oc]],["musicgen",["MusicgenForConditionalGeneration",cc]]]),Bp=new Map([["bert",["BertForSequenceClassification",Et]],["roformer",["RoFormerForSequenceClassification",Fe]],["electra",["ElectraForSequenceClassification",Dt]],["esm",["EsmForSequenceClassification",xs]],["convbert",["ConvBertForSequenceClassification",re]],["camembert",["CamembertForSequenceClassification",Be]],["deberta",["DebertaForSequenceClassification",ot]],["deberta-v2",["DebertaV2ForSequenceClassification",Sn]],["mpnet",["MPNetForSequenceClassification",Xs]],["albert",["AlbertForSequenceClassification",Qs]],["distilbert",["DistilBertForSequenceClassification",zn]],["roberta",["RobertaForSequenceClassification",Qr]],["xlm",["XLMForSequenceClassification",Mn]],["xlm-roberta",["XLMRobertaForSequenceClassification",nr]],["bart",["BartForSequenceClassification",ye]],["mbart",["MBartForSequenceClassification",St]],["mobilebert",["MobileBertForSequenceClassification",wr]],["squeezebert",["SqueezeBertForSequenceClassification",Ai]]]),Ef=new Map([["bert",["BertForTokenClassification",Rt]],["roformer",["RoFormerForTokenClassification",Re]],["electra",["ElectraForTokenClassification",Tt]],["esm",["EsmForTokenClassification",gr]],["convbert",["ConvBertForTokenClassification",V]],["camembert",["CamembertForTokenClassification",st]],["deberta",["DebertaForTokenClassification",nn]],["deberta-v2",["DebertaV2ForTokenClassification",Tn]],["mpnet",["MPNetForTokenClassification",$r]],["distilbert",["DistilBertForTokenClassification",kn]],["roberta",["RobertaForTokenClassification",mt]],["xlm",["XLMForTokenClassification",Ii]],["xlm-roberta",["XLMRobertaForTokenClassification",_r]]]),mc=new Map([["t5",["T5ForConditionalGeneration",po]],["longt5",["LongT5ForConditionalGeneration",Ms]],["mt5",["MT5ForConditionalGeneration",kr]],["bart",["BartForConditionalGeneration",K]],["mbart",["MBartForConditionalGeneration",He]],["marian",["MarianMTModel",xo]],["m2m_100",["M2M100ForConditionalGeneration",Uu]],["blenderbot",["BlenderbotForConditionalGeneration",fn]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",On]]]),Cf=new Map([["bloom",["BloomForCausalLM",$]],["gpt2",["GPT2LMHeadModel",Bo]],["jais",["JAISLMHeadModel",No]],["gptj",["GPTJForCausalLM",Ka]],["gpt_bigcode",["GPTBigCodeForCausalLM",wo]],["gpt_neo",["GPTNeoForCausalLM",ma]],["gpt_neox",["GPTNeoXForCausalLM",ga]],["codegen",["CodeGenForCausalLM",Xa]],["llama",["LlamaForCausalLM",Za]],["cohere",["CohereForCausalLM",ya]],["gemma",["GemmaForCausalLM",Vl]],["gemma2",["Gemma2ForCausalLM",Wo]],["openelm",["OpenELMForCausalLM",Go]],["qwen2",["Qwen2ForCausalLM",wa]],["phi",["PhiForCausalLM",qo]],["phi3",["Phi3ForCausalLM",nl]],["mpt",["MptForCausalLM",le]],["opt",["OPTForCausalLM",Qe]],["mbart",["MBartForCausalLM",Zt]],["mistral",["MistralForCausalLM",tc]],["starcoder2",["Starcoder2ForCausalLM",uf]],["falcon",["FalconForCausalLM",rc]],["trocr",["TrOCRForCausalLM",Ju]],["stablelm",["StableLmForCausalLM",_f]]]),Pf=new Map([["bert",["BertForMaskedLM",ct]],["roformer",["RoFormerForMaskedLM",z]],["electra",["ElectraForMaskedLM",Ze]],["esm",["EsmForMaskedLM",Ci]],["convbert",["ConvBertForMaskedLM",q]],["camembert",["CamembertForMaskedLM",_e]],["deberta",["DebertaForMaskedLM",Wt]],["deberta-v2",["DebertaV2ForMaskedLM",hn]],["mpnet",["MPNetForMaskedLM",fo]],["albert",["AlbertForMaskedLM",Pn]],["distilbert",["DistilBertForMaskedLM",Qt]],["roberta",["RobertaForMaskedLM",ci]],["xlm",["XLMWithLMHeadModel",di]],["xlm-roberta",["XLMRobertaForMaskedLM",sn]],["mobilebert",["MobileBertForMaskedLM",Pi]],["squeezebert",["SqueezeBertForMaskedLM",es]]]),Af=new Map([["bert",["BertForQuestionAnswering",je]],["roformer",["RoFormerForQuestionAnswering",he]],["electra",["ElectraForQuestionAnswering",Nt]],["convbert",["ConvBertForQuestionAnswering",me]],["camembert",["CamembertForQuestionAnswering",Je]],["deberta",["DebertaForQuestionAnswering",Gt]],["deberta-v2",["DebertaV2ForQuestionAnswering",yn]],["mpnet",["MPNetForQuestionAnswering",Ji]],["albert",["AlbertForQuestionAnswering",Ts]],["distilbert",["DistilBertForQuestionAnswering",Pt]],["roberta",["RobertaForQuestionAnswering",jr]],["xlm",["XLMForQuestionAnswering",Ir]],["xlm-roberta",["XLMRobertaForQuestionAnswering",Fr]],["mobilebert",["MobileBertForQuestionAnswering",gi]],["squeezebert",["SqueezeBertForQuestionAnswering",hs]]]),gc=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Fo]]]),Np=new Map([["llava",["LlavaForConditionalGeneration",go]],["moondream1",["Moondream1ForConditionalGeneration",Vn]],["florence2",["Florence2ForConditionalGeneration",Oo]]]),o_=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Fo]]]),$f=new Map([["vit",["ViTForImageClassification",Ue]],["fastvit",["FastViTForImageClassification",nt]],["mobilevit",["MobileViTForImageClassification",bt]],["mobilevitv2",["MobileViTV2ForImageClassification",on]],["beit",["BeitForImageClassification",Ui]],["deit",["DeiTForImageClassification",Md]],["convnext",["ConvNextForImageClassification",Rd]],["convnextv2",["ConvNextV2ForImageClassification",Bd]],["dinov2",["Dinov2ForImageClassification",jd]],["resnet",["ResNetForImageClassification",Sd]],["swin",["SwinForImageClassification",$u]],["segformer",["SegformerForImageClassification",mf]],["efficientnet",["EfficientNetForImageClassification",Op]],["mobilenet_v1",["MobileNetV1ForImageClassification",eu]],["mobilenet_v2",["MobileNetV2ForImageClassification",vf]],["mobilenet_v3",["MobileNetV3ForImageClassification",bf]],["mobilenet_v4",["MobileNetV4ForImageClassification",Tf]]]),If=new Map([["detr",["DetrForObjectDetection",ii]],["rt_detr",["RTDetrForObjectDetection",yd]],["table-transformer",["TableTransformerForObjectDetection",bd]],["yolos",["YolosForObjectDetection",Vd]]]),Ff=new Map([["owlvit",["OwlViTForObjectDetection",ln]],["owlv2",["Owlv2ForObjectDetection",Gn]]]),Of=new Map([["detr",["DetrForSegmentation",Rs]],["clipseg",["CLIPSegForImageSegmentation",vo]]]),jp=new Map([["segformer",["SegformerForSemanticSegmentation",gf]],["sapiens",["SapiensForSemanticSegmentation",zu]]]),Df=new Map([["sam",["SamModel",Gd]]]),zf=new Map([["wav2vec2",["Wav2Vec2ForCTC",Wu]],["wav2vec2-bert",["Wav2Vec2BertForCTC",Jd]],["unispeech",["UniSpeechForCTC",Xd]],["unispeech-sat",["UniSpeechSatForCTC",Yd]],["wavlm",["WavLMForCTC",$p]],["hubert",["HubertForCTC",tf]]]),Rf=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",ql]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",Xu]],["unispeech",["UniSpeechForSequenceClassification",Ku]],["unispeech-sat",["UniSpeechSatForSequenceClassification",Cp]],["wavlm",["WavLMForSequenceClassification",Qu]],["hubert",["HubertForSequenceClassification",Ap]],["audio-spectrogram-transformer",["ASTForAudioClassification",ua]]]),Lf=new Map([["wavlm",["WavLMForXVector",rf]]]),Vp=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",Zd]],["wavlm",["WavLMForAudioFrameClassification",sf]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",Gu]],["pyannote",["PyAnnoteForAudioFrameClassification",Kd]]]),Bf=new Map([["vitmatte",["VitMatteForImageMatting",tt]]]),Nf=new Map([["swin2sr",["Swin2SRForImageSuperResolution",Ou]]]),jf=new Map([["dpt",["DPTForDepthEstimation",Pd]],["depth_anything",["DepthAnythingForDepthEstimation",$d]],["glpn",["GLPNForDepthEstimation",Od]],["sapiens",["SapiensForDepthEstimation",Id]]]),Vf=new Map([["sapiens",["SapiensForNormalEstimation",Fd]]]),Up=new Map([["clip",["CLIPVisionModelWithProjection",zo]],["siglip",["SiglipVisionModel",fa]]]),zi=[[s_,k.EncoderOnly],[Lp,k.EncoderDecoder],[Mf,k.DecoderOnly],[Bp,k.EncoderOnly],[Ef,k.EncoderOnly],[mc,k.Seq2Seq],[pc,k.Seq2Seq],[Cf,k.DecoderOnly],[Pf,k.EncoderOnly],[Af,k.EncoderOnly],[gc,k.Vision2Seq],[Np,k.ImageTextToText],[$f,k.EncoderOnly],[Of,k.EncoderOnly],[jp,k.EncoderOnly],[Bf,k.EncoderOnly],[Nf,k.EncoderOnly],[jf,k.EncoderOnly],[Vf,k.EncoderOnly],[If,k.EncoderOnly],[Ff,k.EncoderOnly],[Df,k.MaskGeneration],[zf,k.EncoderOnly],[Rf,k.EncoderOnly],[kf,k.Seq2Seq],[Sf,k.EncoderOnly],[Lf,k.EncoderOnly],[Vp,k.EncoderOnly],[Up,k.EncoderOnly]];for(const[H,X]of zi)for(const[de,De]of H.values())A.set(de,X),R.set(De,de),N.set(de,De);const Wp=[["MusicgenForConditionalGeneration",cc,k.Musicgen],["CLIPTextModelWithProjection",Oi,k.EncoderOnly],["SiglipTextModel",Ro,k.EncoderOnly],["ClapTextModelWithProjection",hf,k.EncoderOnly],["ClapAudioModelWithProjection",pf,k.EncoderOnly]];for(const[H,X,de]of Wp)A.set(H,de),R.set(X,H),N.set(H,X);class _c extends xr{}ft(_c,"MODEL_CLASS_MAPPINGS",zi.map(X=>X[0])),ft(_c,"BASE_IF_FAIL",!0);class yc extends xr{}ft(yc,"MODEL_CLASS_MAPPINGS",[Bp]);class Uf extends xr{}ft(Uf,"MODEL_CLASS_MAPPINGS",[Ef]);class sl extends xr{}ft(sl,"MODEL_CLASS_MAPPINGS",[mc]);class Wf extends xr{}ft(Wf,"MODEL_CLASS_MAPPINGS",[pc]);class Gf extends xr{}ft(Gf,"MODEL_CLASS_MAPPINGS",[kf]);class vc extends xr{}ft(vc,"MODEL_CLASS_MAPPINGS",[Sf]);class qf extends xr{}ft(qf,"MODEL_CLASS_MAPPINGS",[Cf]);class Hf extends xr{}ft(Hf,"MODEL_CLASS_MAPPINGS",[Pf]);class wc extends xr{}ft(wc,"MODEL_CLASS_MAPPINGS",[Af]);class Kf extends xr{}ft(Kf,"MODEL_CLASS_MAPPINGS",[gc]);class Xf extends xr{}ft(Xf,"MODEL_CLASS_MAPPINGS",[$f]);class Qf extends xr{}ft(Qf,"MODEL_CLASS_MAPPINGS",[Of]);class bc extends xr{}ft(bc,"MODEL_CLASS_MAPPINGS",[jp]);class Yf extends xr{}ft(Yf,"MODEL_CLASS_MAPPINGS",[If]);class Zf extends xr{}ft(Zf,"MODEL_CLASS_MAPPINGS",[Ff]);class xc extends xr{}ft(xc,"MODEL_CLASS_MAPPINGS",[Df]);class Jf extends xr{}ft(Jf,"MODEL_CLASS_MAPPINGS",[zf]);class Gp extends xr{}ft(Gp,"MODEL_CLASS_MAPPINGS",[Rf]);class eh extends xr{}ft(eh,"MODEL_CLASS_MAPPINGS",[Lf]);class th extends xr{}ft(th,"MODEL_CLASS_MAPPINGS",[Vp]);class nh extends xr{}ft(nh,"MODEL_CLASS_MAPPINGS",[o_]);class rh extends xr{}ft(rh,"MODEL_CLASS_MAPPINGS",[Bf]);class qp extends xr{}ft(qp,"MODEL_CLASS_MAPPINGS",[Nf]);class ih extends xr{}ft(ih,"MODEL_CLASS_MAPPINGS",[jf]);class sh extends xr{}ft(sh,"MODEL_CLASS_MAPPINGS",[Vf]);class oh extends xr{}ft(oh,"MODEL_CLASS_MAPPINGS",[Up]);class a_ extends xe{constructor({logits:X,past_key_values:de,encoder_outputs:De,decoder_attentions:kt=null,cross_attentions:At=null}){super(),this.logits=X,this.past_key_values=de,this.encoder_outputs=De,this.decoder_attentions=kt,this.cross_attentions=At}}class Jn extends xe{constructor({logits:X}){super(),this.logits=X}}class ah extends xe{constructor({logits:X,embeddings:de}){super(),this.logits=X,this.embeddings=de}}class hi extends xe{constructor({logits:X}){super(),this.logits=X}}class vi extends xe{constructor({logits:X}){super(),this.logits=X}}class Ri extends xe{constructor({start_logits:X,end_logits:de}){super(),this.start_logits=X,this.end_logits=de}}class Xo extends xe{constructor({logits:X}){super(),this.logits=X}}class Hp extends xe{constructor({logits:X,past_key_values:de}){super(),this.logits=X,this.past_key_values=de}}class lh extends xe{constructor({alphas:X}){super(),this.alphas=X}}class uh extends xe{constructor({waveform:X,spectrogram:de}){super(),this.waveform=X,this.spectrogram=de}}},"./src/models/whisper/common_whisper.js":(e,t,n)=>{n.r(t),n.d(t,{WHISPER_LANGUAGE_MAPPING:()=>o,WHISPER_TO_LANGUAGE_CODE_MAPPING:()=>a,whisper_language_to_code:()=>l});const i=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],o=new Map(i),a=new Map([...i.map(([d,c])=>[c,d]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);function l(d){d=d.toLowerCase();let c=a.get(d);if(c===void 0)if(o.has(d))c=d;else{const v=d.length===2?o.keys():o.values();throw new Error(`Language "${d}" is not supported. Must be one of: ${JSON.stringify(v)}`)}return c}},"./src/models/whisper/generation_whisper.js":(e,t,n)=>{n.r(t),n.d(t,{WhisperGenerationConfig:()=>o});var i=n("./src/generation/configuration_utils.js");class o extends i.GenerationConfig{constructor(){super(...arguments);ft(this,"return_timestamps",null);ft(this,"return_token_timestamps",null);ft(this,"num_frames",null);ft(this,"alignment_heads",null);ft(this,"task",null);ft(this,"language",null);ft(this,"no_timestamps_token_id",null);ft(this,"prompt_ids",null);ft(this,"is_multilingual",null);ft(this,"lang_to_id",null);ft(this,"task_to_id",null);ft(this,"max_initial_timestamp_index",1)}}},"./src/ops/registry.js":(e,t,n)=>{n.r(t),n.d(t,{TensorOpRegistry:()=>l});var i=n("./src/backends/onnx.js"),o=n("./src/utils/tensor.js");const a=async(d,c,p)=>{const v=await(0,i.createInferenceSession)(new Uint8Array(d),c);return async _=>{const T=Object.fromEntries(Object.entries(_).map(([I,C])=>[I,C.ort_tensor])),M=await v.run(T);return Array.isArray(p)?p.map(I=>new o.Tensor(M[I])):new o.Tensor(M[p])}};class l{static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||(this._bilinear_interpolate_4d=a([8,9,18,0,58,128,1,10,40,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,17,10,4,109,111,100,101,34,6,108,105,110,101,97,114,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bilinear_interpolate_4d}static get bicubic_interpolate_4d(){return this._bicubic_interpolate_4d||(this._bicubic_interpolate_4d=a([8,9,18,0,58,127,10,39,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,16,10,4,109,111,100,101,34,5,99,117,98,105,99,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bicubic_interpolate_4d}static get matmul(){return this._matmul||(this._matmul=a([8,9,18,0,58,55,10,17,10,1,97,10,1,98,18,1,99,34,6,77,97,116,77,117,108,18,1,114,90,9,10,1,97,18,4,10,2,8,1,90,9,10,1,98,18,4,10,2,8,1,98,9,10,1,99,18,4,10,2,8,1,66,2,16,20],this.session_options,"c")),this._matmul}static get stft(){return this._stft||(this._stft=a([8,7,18,0,58,148,1,10,38,10,1,115,10,1,106,10,1,119,10,1,108,18,1,111,34,4,83,84,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,115,90,26,10,1,115,18,21,10,19,8,1,18,15,10,3,18,1,98,10,3,18,1,115,10,3,18,1,99,90,11,10,1,106,18,6,10,4,8,7,18,0,90,16,10,1,119,18,11,10,9,8,1,18,5,10,3,18,1,119,90,11,10,1,108,18,6,10,4,8,7,18,0,98,31,10,1,111,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,102,10,3,18,1,100,10,3,18,1,99,66,2,16,17],this.session_options,"o")),this._stft}static get rfft(){return this._rfft||(this._rfft=a([8,9,18,0,58,97,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,21,10,1,120,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,90,11,10,1,97,18,6,10,4,8,7,18,0,98,21,10,1,121,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,66,2,16,20],this.session_options,"y")),this._rfft}static get top_k(){return this._top_k||(this._top_k=a([8,10,18,0,58,73,10,18,10,1,120,10,1,107,18,1,118,18,1,105,34,4,84,111,112,75,18,1,116,90,9,10,1,120,18,4,10,2,8,1,90,15,10,1,107,18,10,10,8,8,7,18,4,10,2,8,1,98,9,10,1,118,18,4,10,2,8,1,98,9,10,1,105,18,4,10,2,8,7,66,2,16,21],this.session_options,["v","i"])),this._top_k}}ft(l,"session_options",{})},"./src/pipelines.js":(e,t,n)=>{n.r(t),n.d(t,{AudioClassificationPipeline:()=>oe,AutomaticSpeechRecognitionPipeline:()=>G,DepthEstimationPipeline:()=>Ye,DocumentQuestionAnsweringPipeline:()=>ne,FeatureExtractionPipeline:()=>ve,FillMaskPipeline:()=>A,ImageClassificationPipeline:()=>gt,ImageFeatureExtractionPipeline:()=>Ne,ImageSegmentationPipeline:()=>Me,ImageToImagePipeline:()=>pt,ImageToTextPipeline:()=>Ce,ObjectDetectionPipeline:()=>fe,Pipeline:()=>C,QuestionAnsweringPipeline:()=>k,SummarizationPipeline:()=>R,Text2TextGenerationPipeline:()=>N,TextClassificationPipeline:()=>E,TextGenerationPipeline:()=>j,TextToAudioPipeline:()=>xe,TokenClassificationPipeline:()=>x,TranslationPipeline:()=>B,ZeroShotAudioClassificationPipeline:()=>Se,ZeroShotClassificationPipeline:()=>ae,ZeroShotImageClassificationPipeline:()=>te,ZeroShotObjectDetectionPipeline:()=>Ae,pipeline:()=>Et});var i=n("./src/tokenizers.js"),o=n("./src/models.js"),a=n("./src/processors.js"),l=n("./src/utils/generic.js"),d=n("./src/utils/core.js"),c=n("./src/utils/maths.js"),p=n("./src/utils/audio.js"),v=n("./src/utils/tensor.js"),_=n("./src/utils/image.js");async function T(je){return Array.isArray(je)||(je=[je]),await Promise.all(je.map(Ie=>_.RawImage.read(Ie)))}async function M(je,Ie){return Array.isArray(je)||(je=[je]),await Promise.all(je.map(rt=>typeof rt=="string"||rt instanceof URL?(0,p.read_audio)(rt,Ie):rt instanceof Float64Array?new Float32Array(rt):rt))}function I(je,Ie){Ie&&(je=je.map(Fe=>Fe|0));const[rt,dt,xt,z]=je;return{xmin:rt,ymin:dt,xmax:xt,ymax:z}}class C extends l.Callable{constructor({task:Ie,model:rt,tokenizer:dt=null,processor:xt=null}){super(),this.task=Ie,this.model=rt,this.tokenizer=dt,this.processor=xt}async dispose(){await this.model.dispose()}}class E extends C{constructor(Ie){super(Ie)}async _call(Ie,{top_k:rt=1}={}){const dt=this.tokenizer(Ie,{padding:!0,truncation:!0}),xt=await this.model(dt),z=this.model.config.problem_type==="multi_label_classification"?he=>he.sigmoid():he=>new v.Tensor("float32",(0,c.softmax)(he.data),he.dims),Fe=this.model.config.id2label,Re=[];for(const he of xt.logits){const ue=z(he),Ee=await(0,v.topk)(ue,rt),q=Ee[0].tolist(),V=Ee[1].tolist().map((me,ge)=>({label:Fe?Fe[me]:`LABEL_${me}`,score:q[ge]}));rt===1?Re.push(...V):Re.push(V)}return Array.isArray(Ie)||rt===1?Re:Re[0]}}class x extends C{constructor(Ie){super(Ie)}async _call(Ie,{ignore_labels:rt=["O"]}={}){const dt=Array.isArray(Ie),xt=this.tokenizer(dt?Ie:[Ie],{padding:!0,truncation:!0}),Fe=(await this.model(xt)).logits,Re=this.model.config.id2label,he=[];for(let ue=0;ue<Fe.dims[0];++ue){const Ee=xt.input_ids[ue],q=Fe[ue],re=[];for(let V=0;V<q.dims[0];++V){const me=q[V],ge=(0,c.max)(me.data)[1],$e=Re?Re[ge]:`LABEL_${ge}`;if(rt.includes($e))continue;const Ze=this.tokenizer.decode([Ee[V].item()],{skip_special_tokens:!0});if(Ze==="")continue;const Dt=(0,c.softmax)(me.data);re.push({entity:$e,score:Dt[ge],index:V,word:Ze})}he.push(re)}return dt?he:he[0]}}class k extends C{constructor(Ie){super(Ie)}async _call(Ie,rt,{top_k:dt=1}={}){const xt=this.tokenizer(Ie,{text_pair:rt,padding:!0,truncation:!0}),{start_logits:z,end_logits:Fe}=await this.model(xt),Re=xt.input_ids.tolist(),he=xt.attention_mask.tolist(),ue=this.tokenizer.all_special_ids,Ee=[];for(let q=0;q<z.dims[0];++q){const re=Re[q],V=re.findIndex(Tt=>Tt==this.tokenizer.sep_token_id);he[q].map((Tt,Nt)=>Tt==1&&(Nt===0||Nt>V&&ue.findIndex(jt=>jt==re[Nt])===-1));const me=z[q].tolist(),ge=Fe[q].tolist();for(let Tt=1;Tt<me.length;++Tt)(he[q]==0||Tt<=V||ue.findIndex(Nt=>Nt==re[Tt])!==-1)&&(me[Tt]=-1/0,ge[Tt]=-1/0);const $e=(0,c.softmax)(me).map((Tt,Nt)=>[Tt,Nt]),Ze=(0,c.softmax)(ge).map((Tt,Nt)=>[Tt,Nt]);$e[0][0]=0,Ze[0][0]=0;const Dt=(0,d.product)($e,Ze).filter(Tt=>Tt[0][1]<=Tt[1][1]).map(Tt=>[Tt[0][1],Tt[1][1],Tt[0][0]*Tt[1][0]]).sort((Tt,Nt)=>Nt[2]-Tt[2]);for(let Tt=0;Tt<Math.min(Dt.length,dt);++Tt){const[Nt,jt,ht]=Dt[Tt],_e=re.slice(Nt,jt+1),Be=this.tokenizer.decode(_e,{skip_special_tokens:!0});Ee.push({answer:Be,score:ht})}}return dt===1?Ee[0]:Ee}}class A extends C{constructor(Ie){super(Ie)}async _call(Ie,{top_k:rt=5}={}){const dt=this.tokenizer(Ie,{padding:!0,truncation:!0}),{logits:xt}=await this.model(dt),z=[],Fe=dt.input_ids.tolist();for(let Re=0;Re<Fe.length;++Re){const he=Fe[Re],ue=he.findIndex(me=>me==this.tokenizer.mask_token_id);if(ue===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const Ee=xt[Re][ue],q=await(0,v.topk)(new v.Tensor("float32",(0,c.softmax)(Ee.data),Ee.dims),rt),re=q[0].tolist(),V=q[1].tolist();z.push(V.map((me,ge)=>{const $e=he.slice();return $e[ue]=me,{score:re[ge],token:Number(me),token_str:this.tokenizer.model.vocab[me],sequence:this.tokenizer.decode($e,{skip_special_tokens:!0})}}))}return Array.isArray(Ie)?z:z[0]}}class N extends C{constructor(rt){super(rt);ft(this,"_key","generated_text")}async _call(rt,dt={}){Array.isArray(rt)||(rt=[rt]),this.model.config.prefix&&(rt=rt.map(ue=>this.model.config.prefix+ue));const xt=this.model.config.task_specific_params;xt&&xt[this.task]&&xt[this.task].prefix&&(rt=rt.map(ue=>xt[this.task].prefix+ue));const z=this.tokenizer,Fe={padding:!0,truncation:!0};let Re;this instanceof B&&"_build_translation_inputs"in z?Re=z._build_translation_inputs(rt,Fe,dt):Re=z(rt,Fe);const he=await this.model.generate({...Re,...dt});return z.batch_decode(he,{skip_special_tokens:!0}).map(ue=>({[this._key]:ue}))}}class R extends N{constructor(rt){super(rt);ft(this,"_key","summary_text")}}class B extends N{constructor(rt){super(rt);ft(this,"_key","translation_text")}}function W(je){return Array.isArray(je)&&je.every(Ie=>"role"in Ie&&"content"in Ie)}class j extends C{constructor(Ie){super(Ie)}async _call(Ie,rt={}){let dt=!1,xt=!1,z;if(typeof Ie=="string")z=Ie=[Ie];else if(Array.isArray(Ie)&&Ie.every(V=>typeof V=="string"))dt=!0,z=Ie;else{if(W(Ie))Ie=[Ie];else if(Array.isArray(Ie)&&Ie.every(W))dt=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");xt=!0,z=Ie.map(V=>this.tokenizer.apply_chat_template(V,{tokenize:!1,add_generation_prompt:!0}))}const Fe=rt.add_special_tokens??!1,Re=xt?!1:rt.return_full_text??!0;this.tokenizer.padding_side="left";const he=this.tokenizer(z,{add_special_tokens:Fe,padding:!0,truncation:!0}),ue=await this.model.generate({...he,...rt}),Ee=this.tokenizer.batch_decode(ue,{skip_special_tokens:!0});let q;!Re&&he.input_ids.dims.at(-1)>0&&(q=this.tokenizer.batch_decode(he.input_ids,{skip_special_tokens:!0}).map(V=>V.length));const re=Array.from({length:Ie.length},V=>[]);for(let V=0;V<Ee.length;++V){const me=Math.floor(V/ue.dims[0]*Ie.length);q&&(Ee[V]=Ee[V].slice(q[me])),re[me].push({generated_text:xt?[...Ie[me],{role:"assistant",content:Ee[V]}]:Ee[V]})}return!dt&&re.length===1?re[0]:re}}class ae extends C{constructor(Ie){super(Ie),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([rt,dt])=>[rt.toLowerCase(),dt])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(console.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,this.contradiction_id===void 0&&(console.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0)}async _call(Ie,rt,{hypothesis_template:dt="This example is {}.",multi_label:xt=!1}={}){const z=Array.isArray(Ie);z||(Ie=[Ie]),Array.isArray(rt)||(rt=[rt]);const Fe=rt.map(ue=>dt.replace("{}",ue)),Re=xt||rt.length===1,he=[];for(const ue of Ie){const Ee=[];for(const V of Fe){const me=this.tokenizer(ue,{text_pair:V,padding:!0,truncation:!0}),ge=await this.model(me);Re?Ee.push([ge.logits.data[this.contradiction_id],ge.logits.data[this.entailment_id]]):Ee.push(ge.logits.data[this.entailment_id])}const re=(Re?Ee.map(V=>(0,c.softmax)(V)[1]):(0,c.softmax)(Ee)).map((V,me)=>[V,me]).sort((V,me)=>me[0]-V[0]);he.push({sequence:ue,labels:re.map(V=>rt[V[1]]),scores:re.map(V=>V[0])})}return z?he:he[0]}}class ve extends C{constructor(Ie){super(Ie)}async _call(Ie,{pooling:rt="none",normalize:dt=!1,quantize:xt=!1,precision:z="binary"}={}){const Fe=this.tokenizer(Ie,{padding:!0,truncation:!0}),Re=await this.model(Fe);let he=Re.last_hidden_state??Re.logits??Re.token_embeddings;if(rt!=="none")if(rt==="mean")he=(0,v.mean_pooling)(he,Fe.attention_mask);else if(rt==="cls")he=he.slice(null,0);else throw Error(`Pooling method '${rt}' not supported.`);return dt&&(he=he.normalize(2,-1)),xt&&(he=(0,v.quantize_embeddings)(he,z)),he}}class Ne extends C{constructor(Ie){super(Ie)}async _call(Ie,{pool:rt=null}={}){const dt=await T(Ie),{pixel_values:xt}=await this.processor(dt),z=await this.model({pixel_values:xt});let Fe;if(rt){if(!("pooler_output"in z))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");Fe=z.pooler_output}else Fe=z.last_hidden_state??z.logits??z.image_embeds;return Fe}}class oe extends C{constructor(Ie){super(Ie)}async _call(Ie,{top_k:rt=5}={}){const dt=this.processor.feature_extractor.config.sampling_rate,xt=await M(Ie,dt),z=this.model.config.id2label,Fe=[];for(const Re of xt){const he=await this.processor(Re),Ee=(await this.model(he)).logits[0],q=await(0,v.topk)(new v.Tensor("float32",(0,c.softmax)(Ee.data),Ee.dims),rt),re=q[0].tolist(),me=q[1].tolist().map((ge,$e)=>({label:z?z[ge]:`LABEL_${ge}`,score:re[$e]}));Fe.push(me)}return Array.isArray(Ie)?Fe:Fe[0]}}class Se extends C{constructor(Ie){super(Ie)}async _call(Ie,rt,{hypothesis_template:dt="This is a sound of {}."}={}){const xt=!Array.isArray(Ie);xt&&(Ie=[Ie]);const z=rt.map(Ee=>dt.replace("{}",Ee)),Fe=this.tokenizer(z,{padding:!0,truncation:!0}),Re=this.processor.feature_extractor.config.sampling_rate,he=await M(Ie,Re),ue=[];for(const Ee of he){const q=await this.processor(Ee),re=await this.model({...Fe,...q}),V=(0,c.softmax)(re.logits_per_audio.data);ue.push([...V].map((me,ge)=>({score:me,label:rt[ge]})))}return xt?ue[0]:ue}}class G extends C{constructor(Ie){super(Ie)}async _call(Ie,rt={}){switch(this.model.config.model_type){case"whisper":return this._call_whisper(Ie,rt);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(Ie,rt);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(Ie,rt){rt.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),rt.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const dt=!Array.isArray(Ie);dt&&(Ie=[Ie]);const xt=this.processor.feature_extractor.config.sampling_rate,z=await M(Ie,xt),Fe=[];for(const Re of z){const he=await this.processor(Re),Ee=(await this.model(he)).logits[0],q=[];for(const V of Ee)q.push((0,c.max)(V.data)[1]);const re=this.tokenizer.decode(q);Fe.push({text:re})}return dt?Fe[0]:Fe}async _call_whisper(Ie,rt){const dt=rt.return_timestamps??!1,xt=rt.chunk_length_s??0,z=rt.force_full_sequences??!1;let Fe=rt.stride_length_s??null;const Re={...rt};dt==="word"&&(Re.return_token_timestamps=!0,Re.return_timestamps=!1);const he=!Array.isArray(Ie);he&&(Ie=[Ie]);const ue=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,Ee=this.processor.feature_extractor.config.hop_length,q=this.processor.feature_extractor.config.sampling_rate,re=await M(Ie,q),V=[];for(const me of re){let ge=[];if(xt>0){if(Fe===null)Fe=xt/6;else if(xt<=Fe)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const Dt=q*xt,Tt=q*Fe,Nt=Dt-2*Tt;let jt=0;for(;;){const ht=jt+Dt,_e=me.subarray(jt,ht),Be=await this.processor(_e),st=jt===0,Je=ht>=me.length;if(ge.push({stride:[_e.length,st?0:Tt,Je?0:Tt],input_features:Be.input_features,is_last:Je}),Je)break;jt+=Nt}}else ge=[{stride:[me.length,0,0],input_features:(await this.processor(me)).input_features,is_last:!0}];for(const Dt of ge){Re.num_frames=Math.floor(Dt.stride[0]/Ee);const Tt=await this.model.generate({inputs:Dt.input_features,...Re});dt==="word"?(Dt.tokens=Tt.sequences.tolist()[0],Dt.token_timestamps=Tt.token_timestamps.tolist()[0].map(Nt=>(0,c.round)(Nt,2))):Dt.tokens=Tt[0].tolist(),Dt.stride=Dt.stride.map(Nt=>Nt/q)}const[$e,Ze]=this.tokenizer._decode_asr(ge,{time_precision:ue,return_timestamps:dt,force_full_sequences:z});V.push({text:$e,...Ze})}return he?V[0]:V}}class Ce extends C{constructor(Ie){super(Ie)}async _call(Ie,rt={}){const dt=Array.isArray(Ie),xt=await T(Ie),{pixel_values:z}=await this.processor(xt),Fe=[];for(const Re of z){Re.dims=[1,...Re.dims];const he=await this.model.generate({inputs:Re,...rt}),ue=this.tokenizer.batch_decode(he,{skip_special_tokens:!0}).map(Ee=>({generated_text:Ee.trim()}));Fe.push(ue)}return dt?Fe:Fe[0]}}class gt extends C{constructor(Ie){super(Ie)}async _call(Ie,{top_k:rt=5}={}){const dt=await T(Ie),{pixel_values:xt}=await this.processor(dt),z=await this.model({pixel_values:xt}),Fe=this.model.config.id2label,Re=[];for(const he of z.logits){const ue=await(0,v.topk)(new v.Tensor("float32",(0,c.softmax)(he.data),he.dims),rt),Ee=ue[0].tolist(),re=ue[1].tolist().map((V,me)=>({label:Fe?Fe[V]:`LABEL_${V}`,score:Ee[me]}));Re.push(re)}return Array.isArray(Ie)?Re:Re[0]}}class Me extends C{constructor(Ie){super(Ie),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(Ie,{threshold:rt=.5,mask_threshold:dt=.5,overlap_mask_area_threshold:xt=.8,label_ids_to_fuse:z=null,target_sizes:Fe=null,subtask:Re=null}={}){if(Array.isArray(Ie)&&Ie.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const ue=await T(Ie),Ee=ue.map(Ze=>[Ze.height,Ze.width]),{pixel_values:q,pixel_mask:re}=await this.processor(ue),V=await this.model({pixel_values:q,pixel_mask:re});let me=null;if(Re!==null)me=this.subtasks_mapping[Re];else for(let[Ze,Dt]of Object.entries(this.subtasks_mapping))if(Dt in this.processor.feature_extractor){me=this.processor.feature_extractor[Dt].bind(this.processor.feature_extractor),Re=Ze;break}const ge=this.model.config.id2label,$e=[];if(Re==="panoptic"||Re==="instance"){const Ze=me(V,rt,dt,xt,z,Fe??Ee)[0],Dt=Ze.segmentation;for(const Tt of Ze.segments_info){const Nt=new Uint8ClampedArray(Dt.data.length);for(let ht=0;ht<Dt.data.length;++ht)Dt.data[ht]===Tt.id&&(Nt[ht]=255);const jt=new _.RawImage(Nt,Dt.dims[1],Dt.dims[0],1);$e.push({score:Tt.score,label:ge[Tt.label_id],mask:jt})}}else if(Re==="semantic"){const{segmentation:Ze,labels:Dt}=me(V,Fe??Ee)[0];for(const Tt of Dt){const Nt=new Uint8ClampedArray(Ze.data.length);for(let ht=0;ht<Ze.data.length;++ht)Ze.data[ht]===Tt&&(Nt[ht]=255);const jt=new _.RawImage(Nt,Ze.dims[1],Ze.dims[0],1);$e.push({score:null,label:ge[Tt],mask:jt})}}else throw Error(`Subtask ${Re} not supported.`);return $e}}class te extends C{constructor(Ie){super(Ie)}async _call(Ie,rt,{hypothesis_template:dt="This is a photo of {}"}={}){const xt=Array.isArray(Ie),z=await T(Ie),Fe=rt.map(re=>dt.replace("{}",re)),Re=this.tokenizer(Fe,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:he}=await this.processor(z),ue=await this.model({...Re,pixel_values:he}),Ee=this.model.config.model_type==="siglip"?re=>re.sigmoid().data:re=>(0,c.softmax)(re.data),q=[];for(const re of ue.logits_per_image){const me=[...Ee(re)].map((ge,$e)=>({score:ge,label:rt[$e]}));me.sort((ge,$e)=>$e.score-ge.score),q.push(me)}return xt?q:q[0]}}class fe extends C{constructor(Ie){super(Ie)}async _call(Ie,{threshold:rt=.9,percentage:dt=!1}={}){const xt=Array.isArray(Ie);if(xt&&Ie.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");const z=await T(Ie),Fe=dt?null:z.map(V=>[V.height,V.width]),{pixel_values:Re,pixel_mask:he}=await this.processor(z),ue=await this.model({pixel_values:Re,pixel_mask:he}),Ee=this.processor.feature_extractor.post_process_object_detection(ue,rt,Fe),q=this.model.config.id2label,re=Ee.map(V=>V.boxes.map((me,ge)=>({score:V.scores[ge],label:q[V.classes[ge]],box:I(me,!dt)})));return xt?re:re[0]}}class Ae extends C{constructor(Ie){super(Ie)}async _call(Ie,rt,{threshold:dt=.1,top_k:xt=null,percentage:z=!1}={}){const Fe=Array.isArray(Ie),Re=await T(Ie),he=this.tokenizer(rt,{padding:!0,truncation:!0}),ue=await this.processor(Re),Ee=[];for(let q=0;q<Re.length;++q){const re=Re[q],V=z?null:[[re.height,re.width]],me=ue.pixel_values[q].unsqueeze_(0),ge=await this.model({...he,pixel_values:me}),$e=this.processor.feature_extractor.post_process_object_detection(ge,dt,V,!0)[0];let Ze=$e.boxes.map((Dt,Tt)=>({score:$e.scores[Tt],label:rt[$e.classes[Tt]],box:I(Dt,!z)})).sort((Dt,Tt)=>Tt.score-Dt.score);xt!==null&&(Ze=Ze.slice(0,xt)),Ee.push(Ze)}return Fe?Ee:Ee[0]}}class ne extends C{constructor(Ie){super(Ie)}async _call(Ie,rt,dt={}){throw new Error("This pipeline is not yet supported in Transformers.js v3.")}}class xe extends C{constructor(rt){super(rt);ft(this,"DEFAULT_VOCODER_ID","Xenova/speecht5_hifigan");this.vocoder=rt.vocoder??null}async _call(rt,{speaker_embeddings:dt=null}={}){return this.processor?this._call_text_to_spectrogram(rt,{speaker_embeddings:dt}):this._call_text_to_waveform(rt)}async _call_text_to_waveform(rt){const dt=this.tokenizer(rt,{padding:!0,truncation:!0}),{waveform:xt}=await this.model(dt),z=this.model.config.sampling_rate;return{audio:xt.data,sampling_rate:z}}async _call_text_to_spectrogram(rt,{speaker_embeddings:dt}){if(this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await o.AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"})),(typeof dt=="string"||dt instanceof URL)&&(dt=new Float32Array(await(await fetch(dt)).arrayBuffer())),dt instanceof Float32Array)dt=new v.Tensor("float32",dt,[1,dt.length]);else if(!(dt instanceof v.Tensor))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:xt}=this.tokenizer(rt,{padding:!0,truncation:!0}),{waveform:z}=await this.model.generate_speech(xt,dt,{vocoder:this.vocoder}),Fe=this.processor.feature_extractor.config.sampling_rate;return{audio:z.data,sampling_rate:Fe}}}class pt extends C{constructor(Ie){super(Ie)}async _call(Ie){const rt=await T(Ie),dt=await this.processor(rt),xt=await this.model(dt),z=[];for(const Fe of xt.reconstruction){const Re=Fe.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");z.push(_.RawImage.fromTensor(Re))}return z.length>1?z:z[0]}}class Ye extends C{constructor(Ie){super(Ie)}async _call(Ie){const rt=await T(Ie),dt=await this.processor(rt),{predicted_depth:xt}=await this.model(dt),z=[];for(let Fe=0;Fe<rt.length;++Fe){const Re=(0,v.interpolate)(xt[Fe],rt[Fe].size.reverse(),"bilinear",!1),he=Re.mul_(255/(0,c.max)(Re.data)[0]).to("uint8");z.push({predicted_depth:xt[Fe],depth:_.RawImage.fromTensor(he)})}return z.length>1?z:z[0]}}const et=Object.freeze({"text-classification":{tokenizer:i.AutoTokenizer,pipeline:E,model:o.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:i.AutoTokenizer,pipeline:x,model:o.AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:i.AutoTokenizer,pipeline:k,model:o.AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:i.AutoTokenizer,pipeline:A,model:o.AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:i.AutoTokenizer,pipeline:R,model:o.AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:i.AutoTokenizer,pipeline:B,model:o.AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:i.AutoTokenizer,pipeline:N,model:o.AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:i.AutoTokenizer,pipeline:j,model:o.AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:i.AutoTokenizer,pipeline:ae,model:o.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:oe,model:o.AutoModelForAudioClassification,processor:a.AutoProcessor,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:i.AutoTokenizer,pipeline:Se,model:o.AutoModel,processor:a.AutoProcessor,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:i.AutoTokenizer,pipeline:G,model:[o.AutoModelForSpeechSeq2Seq,o.AutoModelForCTC],processor:a.AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:i.AutoTokenizer,pipeline:xe,model:[o.AutoModelForTextToWaveform,o.AutoModelForTextToSpectrogram],processor:[a.AutoProcessor,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:i.AutoTokenizer,pipeline:Ce,model:o.AutoModelForVision2Seq,processor:a.AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:gt,model:o.AutoModelForImageClassification,processor:a.AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:Me,model:[o.AutoModelForImageSegmentation,o.AutoModelForSemanticSegmentation],processor:a.AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"zero-shot-image-classification":{tokenizer:i.AutoTokenizer,pipeline:te,model:o.AutoModel,processor:a.AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:fe,model:o.AutoModelForObjectDetection,processor:a.AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:i.AutoTokenizer,pipeline:Ae,model:o.AutoModelForZeroShotObjectDetection,processor:a.AutoProcessor,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:i.AutoTokenizer,pipeline:ne,model:o.AutoModelForDocumentQuestionAnswering,processor:a.AutoProcessor,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:pt,model:o.AutoModelForImageToImage,processor:a.AutoProcessor,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:Ye,model:o.AutoModelForDepthEstimation,processor:a.AutoProcessor,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:i.AutoTokenizer,pipeline:ve,model:o.AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:a.AutoProcessor,pipeline:Ne,model:[o.AutoModelForImageFeatureExtraction,o.AutoModel],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),ct=Object.freeze({"sentiment-analysis":"text-classification",ner:"token-classification",asr:"automatic-speech-recognition","text-to-speech":"text-to-audio",embeddings:"feature-extraction"});async function Et(je,Ie=null,{progress_callback:rt=null,config:dt=null,cache_dir:xt=null,local_files_only:z=!1,revision:Fe="main",device:Re=null,dtype:he=null,model_file_name:ue=null,session_options:Ee={}}={}){je=ct[je]??je;const q=et[je.split("_",1)[0]];if(!q)throw Error(`Unsupported pipeline: ${je}. Must be one of [${Object.keys(et)}]`);Ie||(Ie=q.default.model,console.log(`No model specified. Using default model: "${Ie}".`));const re={progress_callback:rt,config:dt,cache_dir:xt,local_files_only:z,revision:Fe,device:Re,dtype:he,model_file_name:ue,session_options:Ee},V=new Map([["tokenizer",q.tokenizer],["model",q.model],["processor",q.processor]]),me=await Rt(V,Ie,re);me.task=je,(0,d.dispatchCallback)(rt,{status:"ready",task:je,model:Ie});const ge=q.pipeline;return new ge(me)}async function Rt(je,Ie,rt){const dt=Object.create(null),xt=[];for(let[z,Fe]of je.entries()){if(!Fe)continue;let Re;Array.isArray(Fe)?Re=new Promise(async(he,ue)=>{var q,re;let Ee;for(let V of Fe){if(V===null){he(null);return}try{he(await V.from_pretrained(Ie,rt));return}catch(me){if((q=me.message)!=null&&q.includes("Unsupported model type"))Ee=me;else if((re=me.message)!=null&&re.includes("Could not locate file"))Ee=me;else{ue(me);return}}}ue(Ee)}):Re=Fe.from_pretrained(Ie,rt),dt[z]=Re,xt.push(Re)}await Promise.all(xt);for(let[z,Fe]of Object.entries(dt))dt[z]=await Fe;return dt}},"./src/processors.js":(e,t,n)=>{n.r(t),n.d(t,{ASTFeatureExtractor:()=>he,AutoProcessor:()=>jt,BeitFeatureExtractor:()=>ct,BitImageProcessor:()=>R,CLIPFeatureExtractor:()=>W,CLIPImageProcessor:()=>j,ChineseCLIPFeatureExtractor:()=>ae,ClapFeatureExtractor:()=>ue,ConvNextFeatureExtractor:()=>Ne,ConvNextImageProcessor:()=>oe,DPTFeatureExtractor:()=>A,DPTImageProcessor:()=>N,DeiTFeatureExtractor:()=>et,DetrFeatureExtractor:()=>je,DonutFeatureExtractor:()=>Et,EfficientNetImageProcessor:()=>Ce,FeatureExtractor:()=>C,Florence2Processor:()=>Nt,GLPNFeatureExtractor:()=>B,ImageFeatureExtractor:()=>E,MobileNetV1FeatureExtractor:()=>gt,MobileNetV2FeatureExtractor:()=>Me,MobileNetV3FeatureExtractor:()=>te,MobileNetV4FeatureExtractor:()=>fe,MobileViTFeatureExtractor:()=>Ae,MobileViTImageProcessor:()=>ne,NougatImageProcessor:()=>Rt,OwlViTFeatureExtractor:()=>xe,OwlViTProcessor:()=>Tt,Owlv2ImageProcessor:()=>pt,Processor:()=>V,PyAnnoteFeatureExtractor:()=>Ee,PyAnnoteProcessor:()=>Ze,RTDetrImageProcessor:()=>Ye,SamImageProcessor:()=>rt,SamProcessor:()=>me,SapiensFeatureExtractor:()=>x,SeamlessM4TFeatureExtractor:()=>Re,SegformerFeatureExtractor:()=>k,SiglipImageProcessor:()=>ve,SpeechT5FeatureExtractor:()=>re,SpeechT5Processor:()=>Dt,Swin2SRImageProcessor:()=>dt,ViTFeatureExtractor:()=>Se,ViTImageProcessor:()=>G,VitMatteImageProcessor:()=>xt,Wav2Vec2FeatureExtractor:()=>Fe,Wav2Vec2ProcessorWithLM:()=>$e,WeSpeakerFeatureExtractor:()=>q,WhisperFeatureExtractor:()=>z,WhisperProcessor:()=>ge,YolosFeatureExtractor:()=>Ie});var i=n("./src/utils/generic.js"),o=n("./src/utils/core.js"),a=n("./src/utils/hub.js"),l=n("./src/utils/maths.js"),d=n("./src/utils/tensor.js");n("./src/utils/image.js");var c=n("./src/utils/audio.js");function p([ht,_e,Be,st]){return[ht-Be/2,_e-st/2,ht+Be/2,_e+st/2]}function v(ht,_e=.5,Be=null,st=!1){const Je=ht.logits,_t=ht.pred_boxes,[$t,Wt,ot]=Je.dims;if(Be!==null&&Be.length!==$t)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let nn=[];for(let Gt=0;Gt<$t;++Gt){let Mt=Be!==null?Be[Gt]:null,mn={boxes:[],classes:[],scores:[]},hn=Je[Gt],Sn=_t[Gt];for(let Tn=0;Tn<Wt;++Tn){let yn=hn[Tn],En=[],$n;if(st){$n=yn.sigmoid().data;for(let zn=0;zn<$n.length;++zn)$n[zn]>_e&&En.push(zn)}else{let zn=(0,l.max)(yn.data)[1];if(zn===ot-1||($n=(0,l.softmax)(yn.data),$n[zn]<_e))continue;En.push(zn)}for(const zn of En){let kn=Sn[Tn].data;kn=p(kn),Mt!==null&&(kn=kn.map((Pt,Qt)=>Pt*Mt[(Qt+1)%2])),mn.boxes.push(kn),mn.classes.push(zn),mn.scores.push($n[zn])}}nn.push(mn)}return nn}function _(ht,_e=null){const Be=ht.logits,st=Be.dims[0];if(_e!==null&&_e.length!==st)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const Je=[];for(let _t=0;_t<st;++_t){const $t=_e!==null?_e[_t]:null;let Wt=Be[_t];$t!==null&&(Wt=(0,d.interpolate)(Wt,$t,"bilinear",!1));const[ot,nn]=$t??Wt.dims.slice(-2),Gt=new d.Tensor("int32",new Int32Array(ot*nn),[ot,nn]),Mt=Wt[0].data,mn=Gt.data;for(let yn=1;yn<Wt.dims[0];++yn){const En=Wt[yn].data;for(let $n=0;$n<En.length;++$n)En[$n]>Mt[$n]&&(Mt[$n]=En[$n],mn[$n]=yn)}const hn=new Array(Wt.dims[0]),Sn=Gt.data;for(let yn=0;yn<Sn.length;++yn){const En=Sn[yn];hn[En]=En}const Tn=hn.filter(yn=>yn!==void 0);Je.push({segmentation:Gt,labels:Tn})}return Je}function T(ht,_e){var Be;if(!(ht instanceof Float32Array||ht instanceof Float64Array))throw new Error(`${_e} expects input to be a Float32Array or a Float64Array, but got ${((Be=ht==null?void 0:ht.constructor)==null?void 0:Be.name)??typeof ht} instead. If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`)}function M(ht,_e,Be=0,st=null){const Je=ht/_e;let _t=(0,l.bankers_round)(Je)*_e;return st!==null&&_t>st&&(_t=Math.floor(Je)*_e),_t<Be&&(_t=Math.ceil(Je)*_e),_t}function I([ht,_e],Be){return[Math.max(Math.floor(ht/Be),1)*Be,Math.max(Math.floor(_e/Be),1)*Be]}class C extends i.Callable{constructor(_e){super(),this.config=_e}}class E extends C{constructor(_e){super(_e),this.image_mean=this.config.image_mean??this.config.mean,this.image_std=this.config.image_std??this.config.std,this.resample=this.config.resample??2,this.do_rescale=this.config.do_rescale??!0,this.rescale_factor=this.config.rescale_factor??1/255,this.do_normalize=this.config.do_normalize,this.do_resize=this.config.do_resize,this.do_thumbnail=this.config.do_thumbnail,this.size=this.config.size,this.size_divisibility=this.config.size_divisibility??this.config.size_divisor,this.do_center_crop=this.config.do_center_crop,this.crop_size=this.config.crop_size,this.do_convert_rgb=this.config.do_convert_rgb??!0,this.do_crop_margin=this.config.do_crop_margin,this.pad_size=this.config.pad_size,this.do_pad=this.config.do_pad,this.do_pad&&!this.pad_size&&this.size&&this.size.width!==void 0&&this.size.height!==void 0&&(this.pad_size=this.size),this.do_flip_channel_order=this.config.do_flip_channel_order??!1}async thumbnail(_e,Be,st=2){const Je=_e.height,_t=_e.width,$t=Be.height,Wt=Be.width;let ot=Math.min(Je,$t),nn=Math.min(_t,Wt);return ot===Je&&nn===_t?_e:(Je>_t?nn=Math.floor(_t*ot/Je):_t>Je&&(ot=Math.floor(Je*nn/_t)),await _e.resize(nn,ot,{resample:st}))}async crop_margin(_e,Be=200){const st=_e.clone().grayscale(),Je=(0,l.min)(st.data)[0],$t=(0,l.max)(st.data)[0]-Je;if($t===0)return _e;const Wt=Be/255;let ot=st.width,nn=st.height,Gt=0,Mt=0;const mn=st.data;for(let hn=0;hn<st.height;++hn){const Sn=hn*st.width;for(let Tn=0;Tn<st.width;++Tn)(mn[Sn+Tn]-Je)/$t<Wt&&(ot=Math.min(ot,Tn),nn=Math.min(nn,hn),Gt=Math.max(Gt,Tn),Mt=Math.max(Mt,hn))}return _e=await _e.crop([ot,nn,Gt,Mt]),_e}pad_image(_e,Be,st,{mode:Je="constant",center:_t=!1,constant_values:$t=0}={}){const[Wt,ot,nn]=Be;let Gt,Mt;if(typeof st=="number"?(Gt=st,Mt=st):(Gt=st.width,Mt=st.height),Gt!==ot||Mt!==Wt){const mn=new Float32Array(Gt*Mt*nn);if(Array.isArray($t))for(let Tn=0;Tn<mn.length;++Tn)mn[Tn]=$t[Tn%nn];else $t!==0&&mn.fill($t);const[hn,Sn]=_t?[Math.floor((Gt-ot)/2),Math.floor((Mt-Wt)/2)]:[0,0];for(let Tn=0;Tn<Wt;++Tn){const yn=(Tn+Sn)*Gt,En=Tn*ot;for(let $n=0;$n<ot;++$n){const zn=(yn+$n+hn)*nn,kn=(En+$n)*nn;for(let Pt=0;Pt<nn;++Pt)mn[zn+Pt]=_e[kn+Pt]}}if(Je==="symmetric"){if(_t)throw new Error("`center` padding is not supported when `mode` is set to `symmetric`.");const Tn=Wt-1,yn=ot-1;for(let En=0;En<Mt;++En){const $n=En*Gt,zn=(0,o.calculateReflectOffset)(En,Tn)*ot;for(let kn=0;kn<Gt;++kn){if(En<Wt&&kn<ot)continue;const Pt=($n+kn)*nn,Qt=(zn+(0,o.calculateReflectOffset)(kn,yn))*nn;for(let dn=0;dn<nn;++dn)mn[Pt+dn]=_e[Qt+dn]}}}_e=mn,Be=[Mt,Gt,nn]}return[_e,Be]}rescale(_e){for(let Be=0;Be<_e.length;++Be)_e[Be]=this.rescale_factor*_e[Be]}get_resize_output_image_size(_e,Be){const[st,Je]=_e.size;let _t,$t;if(this.do_thumbnail){const{height:Wt,width:ot}=Be;_t=Math.min(Wt,ot)}else Number.isInteger(Be)?(_t=Be,$t=this.config.max_size??_t):Be!==void 0&&(_t=Be.shortest_edge,$t=Be.longest_edge);if(_t!==void 0||$t!==void 0){const Wt=_t===void 0?1:Math.max(_t/st,_t/Je),ot=st*Wt,nn=Je*Wt,Gt=$t===void 0?1:Math.min($t/ot,$t/nn);let Mt=Math.floor(Number((ot*Gt).toFixed(2))),mn=Math.floor(Number((nn*Gt).toFixed(2)));return this.size_divisibility!==void 0&&([Mt,mn]=I([Mt,mn],this.size_divisibility)),[Mt,mn]}else if(Be!==void 0&&Be.width!==void 0&&Be.height!==void 0){let Wt=Be.width,ot=Be.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let nn=ot/Je,Gt=Wt/st;Math.abs(1-Gt)<Math.abs(1-nn)?nn=Gt:Gt=nn,ot=M(nn*Je,this.config.ensure_multiple_of),Wt=M(Gt*st,this.config.ensure_multiple_of)}return[Wt,ot]}else{if(this.size_divisibility!==void 0)return I([st,Je],this.size_divisibility);throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(Be)}`)}}async resize(_e){const[Be,st]=this.get_resize_output_image_size(_e,this.size);return await _e.resize(Be,st,{resample:this.resample})}async preprocess(_e,{do_normalize:Be=null,do_pad:st=null,do_convert_rgb:Je=null,do_convert_grayscale:_t=null,do_flip_channel_order:$t=null}={}){this.do_crop_margin&&(_e=await this.crop_margin(_e));const[Wt,ot]=_e.size;if(Je??this.do_convert_rgb?_e=_e.rgb():_t&&(_e=_e.grayscale()),this.do_resize&&(_e=await this.resize(_e)),this.do_thumbnail&&(_e=await this.thumbnail(_e,this.size,this.resample)),this.do_center_crop){let hn,Sn;Number.isInteger(this.crop_size)?(hn=this.crop_size,Sn=this.crop_size):(hn=this.crop_size.width,Sn=this.crop_size.height),_e=await _e.center_crop(hn,Sn)}const nn=[_e.height,_e.width];let Gt=Float32Array.from(_e.data),Mt=[_e.height,_e.width,_e.channels];if(this.do_rescale&&this.rescale(Gt),Be??this.do_normalize){let hn=this.image_mean;Array.isArray(this.image_mean)||(hn=new Array(_e.channels).fill(hn));let Sn=this.image_std;if(Array.isArray(this.image_std)||(Sn=new Array(_e.channels).fill(hn)),hn.length!==_e.channels||Sn.length!==_e.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${hn.length}) and \`image_std\` (${Sn.length}) must match the number of channels in the image (${_e.channels}).`);for(let Tn=0;Tn<Gt.length;Tn+=_e.channels)for(let yn=0;yn<_e.channels;++yn)Gt[Tn+yn]=(Gt[Tn+yn]-hn[yn])/Sn[yn]}if(st??this.do_pad){if(this.pad_size)[Gt,Mt]=this.pad_image(Gt,[_e.height,_e.width,_e.channels],this.pad_size);else if(this.size_divisibility){const[hn,Sn]=I([Mt[1],Mt[0]],this.size_divisibility);[Gt,Mt]=this.pad_image(Gt,Mt,{width:hn,height:Sn})}}if($t??this.do_flip_channel_order){if(Mt[2]!==3)throw new Error("Flipping channel order is only supported for RGB images.");for(let hn=0;hn<Gt.length;hn+=3){const Sn=Gt[hn];Gt[hn]=Gt[hn+2],Gt[hn+2]=Sn}}const mn=new d.Tensor("float32",Gt,Mt).permute(2,0,1);return{original_size:[ot,Wt],reshaped_input_size:nn,pixel_values:mn}}async _call(_e,...Be){Array.isArray(_e)||(_e=[_e]);const st=await Promise.all(_e.map(_t=>this.preprocess(_t)));return{pixel_values:(0,d.stack)(st.map(_t=>_t.pixel_values),0),original_sizes:st.map(_t=>_t.original_size),reshaped_input_sizes:st.map(_t=>_t.reshaped_input_size)}}}class x extends E{post_process_semantic_segmentation(..._e){return _(..._e)}}class k extends E{post_process_semantic_segmentation(..._e){return _(..._e)}}class A extends E{}class N extends A{}class R extends E{}class B extends E{}class W extends E{}class j extends W{}class ae extends E{}class ve extends E{}class Ne extends E{constructor(_e){super(_e),this.crop_pct=this.config.crop_pct??224/256}async resize(_e){var st;const Be=(st=this.size)==null?void 0:st.shortest_edge;if(Be===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(Be<384){const Je=Math.floor(Be/this.crop_pct),[_t,$t]=this.get_resize_output_image_size(_e,{shortest_edge:Je});_e=await _e.resize(_t,$t,{resample:this.resample}),_e=await _e.center_crop(Be,Be)}else _e=await _e.resize(Be,Be,{resample:this.resample});return _e}}class oe extends Ne{}class Se extends E{}class G extends E{}class Ce extends E{constructor(_e){super(_e),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(Be=>Be*Be))}}class gt extends E{}class Me extends E{}class te extends E{}class fe extends E{}class Ae extends E{}class ne extends Ae{}class xe extends E{post_process_object_detection(..._e){return v(..._e)}}class pt extends xe{}class Ye extends E{post_process_object_detection(..._e){return v(..._e)}}class et extends E{}class ct extends E{}class Et extends E{pad_image(_e,Be,st,Je={}){const[_t,$t,Wt]=Be;let ot=this.image_mean;Array.isArray(this.image_mean)||(ot=new Array(Wt).fill(ot));let nn=this.image_std;Array.isArray(nn)||(nn=new Array(Wt).fill(ot));const Gt=ot.map((Mt,mn)=>-Mt/nn[mn]);return super.pad_image(_e,Be,st,{center:!0,constant_values:Gt,...Je})}}class Rt extends Et{}class je extends E{async _call(_e){const Be=await super._call(_e),st=[Be.pixel_values.dims[0],64,64],Je=new d.Tensor("int64",new BigInt64Array(st.reduce((_t,$t)=>_t*$t)).fill(1n),st);return{...Be,pixel_mask:Je}}post_process_object_detection(..._e){return v(..._e)}remove_low_and_no_objects(_e,Be,st,Je){let _t=[],$t=[],Wt=[];for(let ot=0;ot<_e.dims[0];++ot){let nn=_e[ot],Gt=Be[ot],Mt=(0,l.max)(nn.data)[1];if(Mt===Je)continue;let hn=(0,l.softmax)(nn.data)[Mt];hn>st&&(_t.push(Gt),$t.push(hn),Wt.push(Mt))}return[_t,$t,Wt]}check_segment_validity(_e,Be,st,Je=.5,_t=.8){let $t=[],Wt=0,ot=0;const nn=Be[st].data;for(let Mt=0;Mt<_e.length;++Mt)_e[Mt]===st&&($t.push(Mt),++Wt),nn[Mt]>=Je&&++ot;let Gt=Wt>0&&ot>0;return Gt&&(Gt=Wt/ot>_t),[Gt,$t]}compute_segments(_e,Be,st,Je,_t,$t=null,Wt=null){let[ot,nn]=Wt??_e[0].dims,Gt=new d.Tensor("int32",new Int32Array(ot*nn),[ot,nn]),Mt=[];if(Wt!==null)for(let yn=0;yn<_e.length;++yn)_e[yn]=(0,d.interpolate)(_e[yn],Wt,"bilinear",!1);let mn=new Int32Array(_e[0].data.length),hn=new Float32Array(_e[0].data.length);for(let yn=0;yn<_e.length;++yn){let En=Be[yn];const $n=_e[yn].data;for(let zn=0;zn<$n.length;++zn)$n[zn]*=En,$n[zn]>hn[zn]&&(mn[zn]=yn,hn[zn]=$n[zn])}let Sn=0;const Tn=Gt.data;for(let yn=0;yn<st.length;++yn){let En=st[yn],[$n,zn]=this.check_segment_validity(mn,_e,yn,Je,_t);if($n){++Sn;for(let kn of zn)Tn[kn]=Sn;Mt.push({id:Sn,label_id:En,score:Be[yn]})}}return[Gt,Mt]}post_process_panoptic_segmentation(_e,Be=.5,st=.5,Je=.8,_t=null,$t=null){_t===null&&(console.warn("`label_ids_to_fuse` unset. No instance will be fused."),_t=new Set);const Wt=_e.logits,nn=_e.pred_masks.sigmoid();let[Gt,Mt,mn]=Wt.dims;if(mn-=1,$t!==null&&$t.length!==Gt)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let hn=[];for(let Sn=0;Sn<Gt;++Sn){let Tn=$t!==null?$t[Sn]:null,yn=Wt[Sn],En=nn[Sn],[$n,zn,kn]=this.remove_low_and_no_objects(yn,En,Be,mn);if(kn.length===0){let[dn,Ar]=Tn??En.dims.slice(-2),Ci=new d.Tensor("int32",new Int32Array(dn*Ar).fill(-1),[dn,Ar]);hn.push({segmentation:Ci,segments_info:[]});continue}let[Pt,Qt]=this.compute_segments($n,zn,kn,st,Je,_t,Tn);hn.push({segmentation:Pt,segments_info:Qt})}return hn}post_process_instance_segmentation(){throw Error("Not implemented yet")}}class Ie extends E{post_process_object_detection(..._e){return v(..._e)}}class rt extends E{reshape_input_points(_e,Be,st,Je=!1){_e=structuredClone(_e);let _t=(0,o.calculateDimensions)(_e);if(_t.length===3)Je||(_t=[1,..._t]),_e=[_e];else if(_t.length!==4)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");for(let $t=0;$t<_e.length;++$t){let Wt=Be[$t],ot=st[$t],nn=[ot[0]/Wt[0],ot[1]/Wt[1]];for(let Gt=0;Gt<_e[$t].length;++Gt)for(let Mt=0;Mt<_e[$t][Gt].length;++Mt)for(let mn=0;mn<_e[$t][Gt][Mt].length;++mn)_e[$t][Gt][Mt][mn]*=nn[mn%2]}return new d.Tensor("float32",Float32Array.from(_e.flat(1/0)),_t)}add_input_labels(_e,Be){let st=(0,o.calculateDimensions)(_e);if(st.length===2)st=[1,...st],_e=[_e];else if(st.length!==3)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");if(st.some((Je,_t)=>Je!==Be.dims[_t]))throw Error(`The first ${st.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new d.Tensor("int64",_e.flat(1/0).map(BigInt),st)}async _call(_e,{input_points:Be=null,input_labels:st=null,input_boxes:Je=null}={}){const _t=await super._call(_e);if(Be&&(_t.input_points=this.reshape_input_points(Be,_t.original_sizes,_t.reshaped_input_sizes)),st){if(!_t.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");_t.input_labels=this.add_input_labels(st,_t.input_points)}return Je&&(_t.input_boxes=this.reshape_input_points(Je,_t.original_sizes,_t.reshaped_input_sizes,!0)),_t}async post_process_masks(_e,Be,st,{mask_threshold:Je=0,binarize:_t=!0,pad_size:$t=null}={}){const Wt=[];$t=$t??this.pad_size;const ot=[$t.height,$t.width];for(let nn=0;nn<Be.length;++nn){const Gt=Be[nn],Mt=st[nn];let mn=await(0,d.interpolate_4d)(_e[nn],{mode:"bilinear",size:ot});if(mn=mn.slice(null,null,[0,Mt[0]],[0,Mt[1]]),mn=await(0,d.interpolate_4d)(mn,{mode:"bilinear",size:Gt}),_t){const hn=mn.data,Sn=new Uint8Array(hn.length);for(let Tn=0;Tn<hn.length;++Tn)hn[Tn]>Je&&(Sn[Tn]=1);mn=new d.Tensor("bool",Sn,mn.dims)}Wt.push(mn)}return Wt}generate_crop_boxes(_e,Be,{crop_n_layers:st=0,overlap_ratio:Je=512/1500,points_per_crop:_t=32,crop_n_points_downscale_factor:$t=1}={}){}}class dt extends E{pad_image(_e,Be,st,Je={}){const[_t,$t,Wt]=Be;return super.pad_image(_e,Be,{width:$t+(st-$t%st)%st,height:_t+(st-_t%st)%st},{mode:"symmetric",center:!1,constant_values:-1,...Je})}}class xt extends E{async _call(_e,Be){Array.isArray(_e)||(_e=[_e]),Array.isArray(Be)||(Be=[Be]);const st=await Promise.all(_e.map($t=>this.preprocess($t))),Je=await Promise.all(Be.map($t=>this.preprocess($t,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:(0,d.stack)(st.map(($t,Wt)=>(0,d.cat)([$t.pixel_values,Je[Wt].pixel_values],0)),0),original_sizes:st.map($t=>$t.original_size),reshaped_input_sizes:st.map($t=>$t.reshaped_input_size)}}}class z extends C{constructor(_e){var Be;super(_e),(Be=this.config).mel_filters??(Be.mel_filters=(0,c.mel_filter_bank)(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney")),this.window=(0,c.window_function)(this.config.n_fft,"hann")}async _extract_fbank_features(_e){const Be=await(0,c.spectrogram)(_e,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10",max_num_frames:this.config.nb_max_frames}),st=Be.data,Je=(0,l.max)(st)[0];for(let _t=0;_t<st.length;++_t)st[_t]=(Math.max(st[_t],Je-8)+4)/4;return Be}async _call(_e){T(_e,"WhisperFeatureExtractor");let Be;return _e.length>this.config.n_samples?(console.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),Be=_e.slice(0,this.config.n_samples)):(Be=new Float32Array(this.config.n_samples),Be.set(_e)),{input_features:(await this._extract_fbank_features(Be)).unsqueeze_(0)}}}class Fe extends C{_zero_mean_unit_var_norm(_e){const st=_e.reduce((_t,$t)=>_t+$t,0)/_e.length,Je=_e.reduce((_t,$t)=>_t+($t-st)**2,0)/_e.length;return _e.map(_t=>(_t-st)/Math.sqrt(Je+1e-7))}async _call(_e){T(_e,"Wav2Vec2FeatureExtractor"),_e instanceof Float64Array&&(_e=new Float32Array(_e));let Be=_e;this.config.do_normalize&&(Be=this._zero_mean_unit_var_norm(Be));const st=[1,Be.length];return{input_values:new d.Tensor("float32",Be,st),attention_mask:new d.Tensor("int64",new BigInt64Array(Be.length).fill(1n),st)}}}class Re extends C{constructor(_e){super(_e);const Be=this.config.sampling_rate,st=(0,c.mel_filter_bank)(256,this.config.num_mel_bins,20,Math.floor(Be/2),Be,null,"kaldi",!0);for(let Je=0;Je<st.length;++Je)st[Je].push(0);this.mel_filters=st,this.window=(0,c.window_function)(400,"povey",{periodic:!1})}async _extract_fbank_features(_e,Be){return _e=_e.map(st=>st*32768),(0,c.spectrogram)(_e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:Be,transpose:!0})}async _call(_e,{padding:Be=!0,pad_to_multiple_of:st=2,do_normalize_per_mel_bins:Je=!0,return_attention_mask:_t=!0}={}){T(_e,"SeamlessM4TFeatureExtractor");let $t=await this._extract_fbank_features(_e,this.config.max_length);if(Je){const[Sn,Tn]=$t.dims,yn=$t.data;for(let En=0;En<Tn;++En){let $n=0;for(let Qt=0;Qt<Sn;++Qt)$n+=yn[Qt*Tn+En];const zn=$n/Sn;let kn=0;for(let Qt=0;Qt<Sn;++Qt)kn+=(yn[Qt*Tn+En]-zn)**2;kn/=Sn-1;const Pt=Math.sqrt(kn+1e-7);for(let Qt=0;Qt<Sn;++Qt){const dn=Qt*Tn+En;yn[dn]=(yn[dn]-zn)/Pt}}}let Wt;if(Be){const[Sn,Tn]=$t.dims,yn=$t.data,En=Sn%st;if(En>0){const $n=new Float32Array(Tn*(Sn+En));$n.set(yn),$n.fill(this.config.padding_value,yn.length);const zn=Sn+En;$t=new d.Tensor($t.type,$n,[zn,Tn]),_t&&(Wt=new d.Tensor("int64",new BigInt64Array(zn),[1,zn]),Wt.data.fill(1n,0,Sn))}}const[ot,nn]=$t.dims,Gt=this.config.stride;if(ot%Gt!==0)throw new Error(`The number of frames (${ot}) must be a multiple of the stride (${Gt}).`);const mn=$t.view(1,Math.floor(ot/Gt),nn*Gt),hn={input_features:mn};if(_t){const Sn=mn.dims[1],Tn=new BigInt64Array(Sn);if(Wt){const yn=Wt.data;for(let En=1,$n=0;En<ot;En+=Gt,++$n)Tn[$n]=yn[En]}else Tn.fill(1n);hn.attention_mask=new d.Tensor("int64",Tn,[1,Sn])}return hn}}class he extends C{constructor(_e){super(_e);const Be=this.config.sampling_rate,st=(0,c.mel_filter_bank)(256,this.config.num_mel_bins,20,Math.floor(Be/2),Be,null,"kaldi",!0);for(let Je=0;Je<st.length;++Je)st[Je].push(0);this.mel_filters=st,this.window=(0,c.window_function)(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(_e,Be){return(0,c.spectrogram)(_e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:Be,transpose:!0})}async _call(_e){T(_e,"ASTFeatureExtractor");const Be=await this._extract_fbank_features(_e,this.config.max_length);if(this.config.do_normalize){const st=this.std*2,Je=Be.data;for(let _t=0;_t<Je.length;++_t)Je[_t]=(Je[_t]-this.mean)/st}return{input_values:Be.unsqueeze_(0)}}}class ue extends C{constructor(_e){super(_e),this.mel_filters=(0,c.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=(0,c.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=(0,c.window_function)(this.config.fft_window_size,"hann")}async _get_input_mel(_e,Be,st,Je){let _t;const $t=_e.length-Be;if($t>0)if(st==="rand_trunc"){const Wt=Math.floor(Math.random()*($t+1));_e=_e.subarray(Wt,Wt+Be),_t=await this._extract_fbank_features(_e,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${st}" not implemented`);else{if($t<0){let Wt=new Float64Array(Be);if(Wt.set(_e),Je==="repeat")for(let ot=_e.length;ot<Be;ot+=_e.length)Wt.set(_e.subarray(0,Math.min(_e.length,Be-ot)),ot);else if(Je==="repeatpad")for(let ot=_e.length;ot<-$t;ot+=_e.length)Wt.set(_e,ot);_e=Wt}if(st==="fusion")throw new Error(`Truncation strategy "${st}" not implemented`);_t=await this._extract_fbank_features(_e,this.mel_filters_slaney,this.config.nb_max_samples)}return _t.unsqueeze_(0)}async _extract_fbank_features(_e,Be,st=null){return(0,c.spectrogram)(_e,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:Be,log_mel:"dB",max_num_frames:st,do_pad:!1,transpose:!0})}async _call(_e,{max_length:Be=null}={}){return T(_e,"ClapFeatureExtractor"),{input_features:(await this._get_input_mel(_e,Be??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}}class Ee extends C{async _call(_e){T(_e,"PyAnnoteFeatureExtractor"),_e instanceof Float64Array&&(_e=new Float32Array(_e));const Be=[1,1,_e.length];return{input_values:new d.Tensor("float32",_e,Be)}}samples_to_frames(_e){return(_e-this.config.offset)/this.config.step}post_process_speaker_diarization(_e,Be){const st=Be/this.samples_to_frames(Be)/this.config.sampling_rate,Je=[];for(const _t of _e.tolist()){const $t=[];let Wt=-1;for(let ot=0;ot<_t.length;++ot){const nn=(0,l.softmax)(_t[ot]),[Gt,Mt]=(0,l.max)(nn),[mn,hn]=[ot,ot+1];Mt!==Wt?(Wt=Mt,$t.push({id:Mt,start:mn,end:hn,score:Gt})):($t.at(-1).end=hn,$t.at(-1).score+=Gt)}Je.push($t.map(({id:ot,start:nn,end:Gt,score:Mt})=>({id:ot,start:nn*st,end:Gt*st,confidence:Mt/(Gt-nn)})))}return Je}}class q extends C{constructor(_e){super(_e);const Be=this.config.sampling_rate,st=(0,c.mel_filter_bank)(256,this.config.num_mel_bins,20,Math.floor(Be/2),Be,null,"kaldi",!0);for(let Je=0;Je<st.length;++Je)st[Je].push(0);this.mel_filters=st,this.window=(0,c.window_function)(400,"hamming",{periodic:!1}),this.min_num_frames=this.config.min_num_frames}async _extract_fbank_features(_e){return _e=_e.map(Be=>Be*32768),(0,c.spectrogram)(_e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,transpose:!0,min_num_frames:this.min_num_frames})}async _call(_e){T(_e,"WeSpeakerFeatureExtractor");const Be=(await this._extract_fbank_features(_e)).unsqueeze_(0);if(this.config.fbank_centering_span===null){const st=Be.mean(1).data,Je=Be.data,[_t,$t,Wt]=Be.dims;for(let ot=0;ot<_t;++ot){const nn=ot*$t*Wt,Gt=ot*Wt;for(let Mt=0;Mt<$t;++Mt){const mn=nn+Mt*Wt;for(let hn=0;hn<Wt;++hn)Je[mn+hn]-=st[Gt+hn]}}}return{input_features:Be}}}class re extends C{}class V extends i.Callable{constructor(_e){super(),this.feature_extractor=_e}async _call(_e,...Be){return await this.feature_extractor(_e,...Be)}}class me extends V{async _call(..._e){return await this.feature_extractor(..._e)}post_process_masks(..._e){return this.feature_extractor.post_process_masks(..._e)}reshape_input_points(..._e){return this.feature_extractor.reshape_input_points(..._e)}}class ge extends V{async _call(_e){return await this.feature_extractor(_e)}}class $e extends V{async _call(_e){return await this.feature_extractor(_e)}}class Ze extends V{async _call(_e){return await this.feature_extractor(_e)}post_process_speaker_diarization(..._e){return this.feature_extractor.post_process_speaker_diarization(..._e)}}class Dt extends V{async _call(_e){return await this.feature_extractor(_e)}}class Tt extends V{}class Nt extends V{constructor(_e){super(_e);const{tasks_answer_post_processing_type:Be,task_prompts_without_inputs:st,task_prompts_with_input:Je}=_e.config;this.tasks_answer_post_processing_type=new Map(Object.entries(Be??{})),this.task_prompts_without_inputs=new Map(Object.entries(st??{})),this.task_prompts_with_input=new Map(Object.entries(Je??{})),this.regexes={quad_boxes:/(.+?)<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm,bboxes:/([^<]+)?<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm},this.size_per_bin=1e3}construct_prompts(_e){typeof _e=="string"&&(_e=[_e]);const Be=[];for(const st of _e)if(this.task_prompts_without_inputs.has(st))Be.push(this.task_prompts_without_inputs.get(st));else{for(const[Je,_t]of this.task_prompts_with_input)if(st.includes(Je)){Be.push(_t.replaceAll("{input}",st).replaceAll(Je,""));break}Be.length!==_e.length&&Be.push(st)}return Be}post_process_generation(_e,Be,st){const Je=this.tasks_answer_post_processing_type.get(Be)??"pure_text";_e=_e.replaceAll("<s>","").replaceAll("</s>","");let _t;switch(Je){case"pure_text":_t=_e;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const $t=Je==="ocr"?"quad_boxes":"bboxes",Wt=_e.matchAll(this.regexes[$t]),ot=[],nn=[];for(const[Gt,Mt,...mn]of Wt)ot.push(Mt?Mt.trim():ot.at(-1)??""),nn.push(mn.map((hn,Sn)=>(Number(hn)+.5)/this.size_per_bin*st[Sn%2]));_t={labels:ot,[$t]:nn};break;default:throw new Error(`Task "${Be}" (of type "${Je}") not yet implemented.`)}return{[Be]:_t}}}class jt{static async from_pretrained(_e,{progress_callback:Be=null,config:st=null,cache_dir:Je=null,local_files_only:_t=!1,revision:$t="main"}={}){let Wt=st??await(0,a.getModelJSON)(_e,"preprocessor_config.json",!0,{progress_callback:Be,config:st,cache_dir:Je,local_files_only:_t,revision:$t}),ot=Wt.feature_extractor_type??Wt.image_processor_type,nn=this.FEATURE_EXTRACTOR_CLASS_MAPPING[ot];if(!nn)if(Wt.size!==void 0)console.warn(`Feature extractor type "${ot}" not found, assuming ImageFeatureExtractor due to size parameter in config.`),nn=E;else throw new Error(`Unknown Feature Extractor type: ${ot}`);let Gt=this.PROCESSOR_CLASS_MAPPING[Wt.processor_class]??V,Mt=new nn(Wt);return new Gt(Mt)}}ft(jt,"FEATURE_EXTRACTOR_CLASS_MAPPING",{ImageFeatureExtractor:E,WhisperFeatureExtractor:z,ViTFeatureExtractor:Se,MobileViTFeatureExtractor:Ae,MobileViTImageProcessor:ne,MobileNetV1FeatureExtractor:gt,MobileNetV2FeatureExtractor:Me,MobileNetV3FeatureExtractor:te,MobileNetV4FeatureExtractor:fe,OwlViTFeatureExtractor:xe,Owlv2ImageProcessor:pt,CLIPFeatureExtractor:W,CLIPImageProcessor:j,Florence2Processor:Nt,ChineseCLIPFeatureExtractor:ae,SiglipImageProcessor:ve,ConvNextFeatureExtractor:Ne,ConvNextImageProcessor:oe,SegformerFeatureExtractor:k,SapiensFeatureExtractor:x,BitImageProcessor:R,DPTImageProcessor:N,DPTFeatureExtractor:A,GLPNFeatureExtractor:B,BeitFeatureExtractor:ct,DeiTFeatureExtractor:et,DetrFeatureExtractor:je,RTDetrImageProcessor:Ye,YolosFeatureExtractor:Ie,DonutFeatureExtractor:Et,NougatImageProcessor:Rt,EfficientNetImageProcessor:Ce,ViTImageProcessor:G,VitMatteImageProcessor:xt,SamImageProcessor:rt,Swin2SRImageProcessor:dt,Wav2Vec2FeatureExtractor:Fe,SeamlessM4TFeatureExtractor:Re,SpeechT5FeatureExtractor:re,ASTFeatureExtractor:he,ClapFeatureExtractor:ue,PyAnnoteFeatureExtractor:Ee,WeSpeakerFeatureExtractor:q}),ft(jt,"PROCESSOR_CLASS_MAPPING",{WhisperProcessor:ge,Wav2Vec2ProcessorWithLM:$e,PyAnnoteProcessor:Ze,SamProcessor:me,SpeechT5Processor:Dt,OwlViTProcessor:Tt,Florence2Processor:Nt})},"./src/tokenizers.js":(e,t,n)=>{n.r(t),n.d(t,{AlbertTokenizer:()=>hn,AutoTokenizer:()=>_i,BartTokenizer:()=>gr,BertTokenizer:()=>mn,BlenderbotSmallTokenizer:()=>br,BlenderbotTokenizer:()=>Ys,BloomTokenizer:()=>wr,CLIPTokenizer:()=>Pn,CamembertTokenizer:()=>Qt,CodeGenTokenizer:()=>Ts,CodeLlamaTokenizer:()=>fs,CohereTokenizer:()=>kr,ConvBertTokenizer:()=>zn,DebertaTokenizer:()=>yn,DebertaV2Tokenizer:()=>En,DistilBertTokenizer:()=>Pt,ElectraTokenizer:()=>Ar,EsmTokenizer:()=>ui,FalconTokenizer:()=>$r,GPT2Tokenizer:()=>xs,GPTNeoXTokenizer:()=>Ji,GemmaTokenizer:()=>es,Grok1Tokenizer:()=>Ai,HerbertTokenizer:()=>$n,LlamaTokenizer:()=>ds,M2M100Tokenizer:()=>$i,MBart50Tokenizer:()=>yr,MBartTokenizer:()=>Nr,MPNetTokenizer:()=>Xs,MarianTokenizer:()=>ho,MobileBertTokenizer:()=>Sn,NllbTokenizer:()=>ts,NougatTokenizer:()=>ps,PreTrainedTokenizer:()=>Mt,Qwen2Tokenizer:()=>Io,RoFormerTokenizer:()=>kn,RobertaTokenizer:()=>Pi,SiglipTokenizer:()=>Zn,SpeechT5Tokenizer:()=>Ms,SqueezeBertTokenizer:()=>Tn,T5Tokenizer:()=>Ci,TokenizerModel:()=>Ne,VitsTokenizer:()=>ms,Wav2Vec2CTCTokenizer:()=>po,WhisperTokenizer:()=>Qs,XLMRobertaTokenizer:()=>fo,XLMTokenizer:()=>dn,is_chinese_char:()=>N});var i=n("./src/utils/generic.js"),o=n("./src/utils/core.js"),a=n("./src/utils/hub.js"),l=n("./src/utils/maths.js"),d=n("./src/utils/tensor.js"),c=n("./src/utils/data-structures.js"),p=n("./node_modules/@huggingface/jinja/dist/index.js"),v=n("./src/models/whisper/common_whisper.js"),_=n("./src/utils/constants.js");async function T(it,K){const ye=await Promise.all([(0,a.getModelJSON)(it,"tokenizer.json",!0,K),(0,a.getModelJSON)(it,"tokenizer_config.json",!0,K)]);return K.legacy!==null&&(ye[1].legacy=K.legacy),ye}function M(it,K){const ye=[];let Oe=0;for(const Ve of it.matchAll(K)){const He=Ve[0];Oe<Ve.index&&ye.push(it.slice(Oe,Ve.index)),He.length>0&&ye.push(He),Oe=Ve.index+He.length}return Oe<it.length&&ye.push(it.slice(Oe)),ye}function I(it,K=!0){if(it.Regex!==void 0){let ye=it.Regex.replace(/\\([#&~])/g,"$1");for(const[Oe,Ve]of ae)ye=ye.replaceAll(Oe,Ve);return new RegExp(ye,"gu")}else if(it.String!==void 0){const ye=(0,o.escapeRegExp)(it.String);return new RegExp(K?ye:`(${ye})`,"gu")}else return console.warn("Unknown pattern type:",it),null}function C(it){return new Map(Object.entries(it))}function E(it){const K=it.dims;switch(K.length){case 1:return it.tolist();case 2:if(K[0]!==1)throw new Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return it.tolist()[0];default:throw new Error(`Expected tensor to have 1-2 dimensions, got ${K.length}.`)}}function x(it){return it.replace(/ \./g,".").replace(/ \?/g,"?").replace(/ \!/g,"!").replace(/ ,/g,",").replace(/ \' /g,"'").replace(/ n\'t/g,"n't").replace(/ \'m/g,"'m").replace(/ \'s/g,"'s").replace(/ \'ve/g,"'ve").replace(/ \'re/g,"'re")}function k(it){return it.replace(/[\u0300-\u036f]/g,"")}function A(it){return k(it.toLowerCase())}function N(it){return it>=19968&&it<=40959||it>=13312&&it<=19903||it>=131072&&it<=173791||it>=173824&&it<=177983||it>=177984&&it<=178207||it>=178208&&it<=183983||it>=63744&&it<=64255||it>=194560&&it<=195103}function R(it,K,ye){const Oe=[];let Ve=0;for(;Ve<it.length;){if(Oe.push(it[Ve]),(ye.get(it[Ve])??K)!==K){++Ve;continue}for(;Ve<it.length&&(ye.get(it[Ve])??K)===K;)++Ve}return Oe}function B(it){return it.match(/\S+/g)||[]}const W="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",j=new RegExp(`^[${W}]+$`,"gu"),ae=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"]]);class ve{constructor(K){this.content=K.content,this.id=K.id,this.single_word=K.single_word??!1,this.lstrip=K.lstrip??!1,this.rstrip=K.rstrip??!1,this.special=K.special??!1,this.normalized=K.normalized??null}}class Ne extends i.Callable{constructor(K){super(),this.config=K,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}static fromConfig(K,...ye){switch(K.type){case"WordPiece":return new oe(K);case"Unigram":return new Se(K,...ye);case"BPE":return new gt(K);default:if(K.vocab)return new Me(K,...ye);throw new Error(`Unknown TokenizerModel type: ${K.type}`)}}_call(K){let ye=this.encode(K);return this.fuse_unk&&(ye=R(ye,this.unk_token_id,this.tokens_to_ids)),ye}encode(K){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(K){return K.map(ye=>this.tokens_to_ids.get(ye)??this.unk_token_id)}convert_ids_to_tokens(K){return K.map(ye=>this.vocab[ye]??this.unk_token)}}class oe extends Ne{constructor(K){super(K),this.tokens_to_ids=C(K.vocab),this.unk_token_id=this.tokens_to_ids.get(K.unk_token),this.unk_token=K.unk_token,this.max_input_chars_per_word=K.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[ye,Oe]of this.tokens_to_ids)this.vocab[Oe]=ye}encode(K){const ye=[];for(const Oe of K){const Ve=[...Oe];if(Ve.length>this.max_input_chars_per_word){ye.push(this.unk_token);continue}let He=!1,St=0;const Zt=[];for(;St<Ve.length;){let Lt=Ve.length,Jt=null;for(;St<Lt;){let fn=Ve.slice(St,Lt).join("");if(St>0&&(fn=this.config.continuing_subword_prefix+fn),this.tokens_to_ids.has(fn)){Jt=fn;break}--Lt}if(Jt===null){He=!0;break}Zt.push(Jt),St=Lt}He?ye.push(this.unk_token):ye.push(...Zt)}return ye}}class Se extends Ne{constructor(K,ye){super(K);const Oe=K.vocab.length;this.vocab=new Array(Oe),this.scores=new Array(Oe);for(let Ve=0;Ve<Oe;++Ve){const He=K.vocab[Ve];this.vocab[Ve]=He[0],this.scores[Ve]=He[1]}this.unk_token_id=K.unk_id,this.unk_token=this.vocab[K.unk_id],this.tokens_to_ids=new Map(this.vocab.map((Ve,He)=>[Ve,He])),this.bosToken=" ",this.bosTokenId=this.tokens_to_ids.get(this.bosToken),this.eosToken=ye.eos_token,this.eosTokenId=this.tokens_to_ids.get(this.eosToken),this.unkToken=this.vocab[this.unk_token_id],this.minScore=(0,l.min)(this.scores)[0],this.unkScore=this.minScore-10,this.scores[this.unk_token_id]=this.unkScore,this.trie=new c.CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(K){const ye=K.sentence,Oe=ye.length;let Ve=0;for(;Ve<Oe;){let St=!1;for(let Zt of this.trie.commonPrefixSearch(ye.slice(Ve))){const Lt=this.tokens_to_ids.get(Zt),Jt=this.scores[Lt],fn=Zt.length;K.insert(Ve,fn,Jt,Lt),!St&&fn===1&&(St=!0)}St||K.insert(Ve,1,this.unkScore,this.unk_token_id),Ve+=1}}tokenize(K){const ye=new c.TokenLattice(K,this.bosTokenId,this.eosTokenId);return this.populateNodes(ye),ye.tokens()}encode(K){const ye=[];for(const Oe of K){const Ve=this.tokenize(Oe);ye.push(...Ve)}return ye}}const G=(()=>{const it=[...Array.from({length:94},(Ve,He)=>He+33),...Array.from({length:12},(Ve,He)=>He+161),...Array.from({length:82},(Ve,He)=>He+174)],K=it.slice();let ye=0;for(let Ve=0;Ve<256;++Ve)it.includes(Ve)||(it.push(Ve),K.push(256+ye),ye+=1);const Oe=K.map(Ve=>String.fromCharCode(Ve));return Object.fromEntries(it.map((Ve,He)=>[Ve,Oe[He]]))})(),Ce=(0,o.reverseDictionary)(G);class gt extends Ne{constructor(K){super(K),this.BPE_SPLIT_TOKEN=" ",this.tokens_to_ids=C(K.vocab),this.unk_token_id=this.tokens_to_ids.get(K.unk_token),this.unk_token=K.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[ye,Oe]of this.tokens_to_ids)this.vocab[Oe]=ye;this.bpe_ranks=new Map(K.merges.map((ye,Oe)=>[ye,Oe])),this.merges=K.merges.map(ye=>ye.split(this.BPE_SPLIT_TOKEN)),this.end_of_word_suffix=K.end_of_word_suffix,this.continuing_subword_suffix=K.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.cache=new Map}bpe(K){if(K.length===0)return[];const ye=this.cache.get(K);if(ye!==void 0)return ye;const Oe=Array.from(K);this.end_of_word_suffix&&(Oe[Oe.length-1]+=this.end_of_word_suffix);let Ve=[];if(Oe.length>1){const He=new c.PriorityQueue((Lt,Jt)=>Lt.score<Jt.score);let St={token:Oe[0],bias:0,prev:null,next:null},Zt=St;for(let Lt=1;Lt<Oe.length;++Lt){const Jt={bias:Lt/Oe.length,token:Oe[Lt],prev:Zt,next:null};Zt.next=Jt,this._add_node(He,Zt),Zt=Jt}for(;!He.isEmpty();){const Lt=He.pop();if(Lt.deleted||!Lt.next||Lt.next.deleted)continue;if(Lt.deleted=!0,Lt.next.deleted=!0,Lt.prev){const fn={...Lt.prev};Lt.prev.deleted=!0,Lt.prev=fn,fn.prev?fn.prev.next=fn:St=fn}const Jt={token:Lt.token+Lt.next.token,bias:Lt.bias,prev:Lt.prev,next:Lt.next.next};Jt.prev?(Jt.prev.next=Jt,this._add_node(He,Jt.prev)):St=Jt,Jt.next&&(Jt.next.prev=Jt,this._add_node(He,Jt))}for(let Lt=St;Lt!==null;Lt=Lt.next)Ve.push(Lt.token)}else Ve=Oe;if(this.continuing_subword_suffix)for(let He=0;He<Ve.length-1;++He)Ve[He]+=this.continuing_subword_suffix;return this.cache.set(K,Ve),Ve}_add_node(K,ye){const Oe=this.bpe_ranks.get(ye.token+this.BPE_SPLIT_TOKEN+ye.next.token);Oe!==void 0&&(ye.score=Oe+ye.bias,K.push(ye))}encode(K){const ye=[];for(const Oe of K){if(this.ignore_merges&&this.tokens_to_ids.has(Oe)){ye.push(Oe);continue}const Ve=this.bpe(Oe);for(const He of Ve)this.tokens_to_ids.has(He)?ye.push(He):this.byte_fallback?ye.push(...Array.from(this.text_encoder.encode(He)).map(St=>`<0x${St.toString(16).toUpperCase().padStart(2,"0")}>`)):ye.push(this.unk_token)}return ye}}class Me extends Ne{constructor(K,ye){super(K),this.tokens_to_ids=C(ye.target_lang?K.vocab[ye.target_lang]:K.vocab),this.bos_token=ye.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=ye.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=ye.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=ye.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=new Array(this.tokens_to_ids.size);for(const[Oe,Ve]of this.tokens_to_ids)this.vocab[Ve]=Oe}encode(K){return K}}class te extends i.Callable{constructor(K){super(),this.config=K}static fromConfig(K){if(K===null)return null;switch(K.type){case"BertNormalizer":return new Rt(K);case"Precompiled":return new st(K);case"Sequence":return new Et(K);case"Replace":return new fe(K);case"NFC":return new Ae(K);case"NFKC":return new ne(K);case"NFKD":return new xe(K);case"Strip":return new pt(K);case"StripAccents":return new Ye(K);case"Lowercase":return new et(K);case"Prepend":return new ct(K);default:throw new Error(`Unknown Normalizer type: ${K.type}`)}}normalize(K){throw Error("normalize should be implemented in subclass.")}_call(K){return this.normalize(K)}}class fe extends te{normalize(K){const ye=I(this.config.pattern);return ye===null?K:K.replaceAll(ye,this.config.content)}}class Ae extends te{normalize(K){return K=K.normalize("NFC"),K}}class ne extends te{normalize(K){return K=K.normalize("NFKC"),K}}class xe extends te{normalize(K){return K=K.normalize("NFKD"),K}}class pt extends te{normalize(K){return this.config.strip_left&&this.config.strip_right?K=K.trim():(this.config.strip_left&&(K=K.trimStart()),this.config.strip_right&&(K=K.trimEnd())),K}}class Ye extends te{normalize(K){return K=k(K),K}}class et extends te{normalize(K){return K=K.toLowerCase(),K}}class ct extends te{normalize(K){return K=this.config.prepend+K,K}}class Et extends te{constructor(K){super(K),this.normalizers=K.normalizers.map(ye=>te.fromConfig(ye))}normalize(K){return this.normalizers.reduce((ye,Oe)=>Oe.normalize(ye),K)}}class Rt extends te{_tokenize_chinese_chars(K){const ye=[];for(let Oe=0;Oe<K.length;++Oe){const Ve=K[Oe],He=Ve.charCodeAt(0);N(He)?(ye.push(" "),ye.push(Ve),ye.push(" ")):ye.push(Ve)}return ye.join("")}stripAccents(K){return K.normalize("NFD").replace(/[\u0300-\u036f]/g,"")}_is_control(K){switch(K){case"	":case`
`:case"\r":return!1;default:return new RegExp("^\\p{Cc}|\\p{Cf}|\\p{Co}|\\p{Cs}$","u").test(K)}}_clean_text(K){const ye=[];for(const Oe of K){const Ve=Oe.charCodeAt(0);Ve===0||Ve===65533||this._is_control(Oe)||(/^\s$/.test(Oe)?ye.push(" "):ye.push(Oe))}return ye.join("")}normalize(K){return this.config.clean_text&&(K=this._clean_text(K)),this.config.handle_chinese_chars&&(K=this._tokenize_chinese_chars(K)),this.config.lowercase?(K=K.toLowerCase(),this.config.strip_accents!==!1&&(K=this.stripAccents(K))):this.config.strip_accents&&(K=this.stripAccents(K)),K}}class je extends i.Callable{static fromConfig(K){if(K===null)return null;switch(K.type){case"BertPreTokenizer":return new Ie(K);case"Sequence":return new Je(K);case"Whitespace":return new _t(K);case"WhitespaceSplit":return new $t(K);case"Metaspace":return new _e(K);case"ByteLevel":return new rt(K);case"Split":return new dt(K);case"Punctuation":return new xt(K);case"Digits":return new z(K);case"Replace":return new Wt(K);default:throw new Error(`Unknown PreTokenizer type: ${K.type}`)}}pre_tokenize_text(K,ye){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(K,ye){return(Array.isArray(K)?K.map(Oe=>this.pre_tokenize_text(Oe,ye)):this.pre_tokenize_text(K,ye)).flat()}_call(K,ye){return this.pre_tokenize(K,ye)}}class Ie extends je{constructor(K){super(),this.pattern=new RegExp(`[^\\s${W}]+|[${W}]`,"gu")}pre_tokenize_text(K,ye){return K.trim().match(this.pattern)||[]}}class rt extends je{constructor(K){super(),this.config=K,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=G,this.text_encoder=new TextEncoder}pre_tokenize_text(K,ye){return this.add_prefix_space&&!K.startsWith(" ")&&(K=" "+K),(this.use_regex?K.match(this.pattern)||[]:[K]).map(Ve=>Array.from(this.text_encoder.encode(Ve),He=>this.byte_encoder[He]).join(""))}}class dt extends je{constructor(K){super(),this.config=K,this.pattern=I(this.config.pattern,this.config.invert)}pre_tokenize_text(K,ye){return this.pattern===null?[]:this.config.invert?K.match(this.pattern)||[]:M(K,this.pattern)}}class xt extends je{constructor(K){super(),this.config=K,this.pattern=new RegExp(`[^${W}]+|[${W}]+`,"gu")}pre_tokenize_text(K,ye){return K.match(this.pattern)||[]}}class z extends je{constructor(K){super(),this.config=K;const ye=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(ye,"gu")}pre_tokenize_text(K,ye){return K.match(this.pattern)||[]}}class Fe extends i.Callable{constructor(K){super(),this.config=K}static fromConfig(K){if(K===null)return null;switch(K.type){case"TemplateProcessing":return new ue(K);case"ByteLevel":return new Ee(K);case"RobertaProcessing":return new he(K);case"BertProcessing":return new Re(K);case"Sequence":return new q(K);default:throw new Error(`Unknown PostProcessor type: ${K.type}`)}}post_process(K,...ye){throw Error("post_process should be implemented in subclass.")}_call(K,...ye){return this.post_process(K,...ye)}}class Re extends Fe{constructor(K){super(K),this.cls=K.cls[0],this.sep=K.sep[0]}post_process(K,ye=null,{add_special_tokens:Oe=!0}={}){Oe&&(K=(0,o.mergeArrays)([this.cls],K,[this.sep]));let Ve=new Array(K.length).fill(0);if(ye!==null){const He=Oe&&this instanceof he?[this.sep]:[],St=Oe?[this.sep]:[];K=(0,o.mergeArrays)(K,He,ye,St),Ve=(0,o.mergeArrays)(Ve,new Array(ye.length+He.length+St.length).fill(1))}return{tokens:K,token_type_ids:Ve}}}class he extends Re{}class ue extends Fe{constructor(K){super(K),this.single=K.single,this.pair=K.pair}post_process(K,ye=null,{add_special_tokens:Oe=!0}={}){const Ve=ye===null?this.single:this.pair;let He=[],St=[];for(const Zt of Ve)"SpecialToken"in Zt?Oe&&(He.push(Zt.SpecialToken.id),St.push(Zt.SpecialToken.type_id)):"Sequence"in Zt&&(Zt.Sequence.id==="A"?(He=(0,o.mergeArrays)(He,K),St=(0,o.mergeArrays)(St,new Array(K.length).fill(Zt.Sequence.type_id))):Zt.Sequence.id==="B"&&(He=(0,o.mergeArrays)(He,ye),St=(0,o.mergeArrays)(St,new Array(ye.length).fill(Zt.Sequence.type_id))));return{tokens:He,token_type_ids:St}}}class Ee extends Fe{post_process(K,ye=null){return ye&&(K=(0,o.mergeArrays)(K,ye)),{tokens:K}}}class q extends Fe{constructor(K){super(K),this.processors=K.processors.map(ye=>Fe.fromConfig(ye))}post_process(K,ye=null,Oe={}){let Ve;for(const He of this.processors)if(He instanceof Ee)K=He.post_process(K).tokens,ye&&(ye=He.post_process(ye).tokens);else{const St=He.post_process(K,ye,Oe);K=St.tokens,Ve=St.token_type_ids}return{tokens:K,token_type_ids:Ve}}}class re extends i.Callable{constructor(K){super(),this.config=K,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=K.trim_offsets}static fromConfig(K){if(K===null)return null;switch(K.type){case"WordPiece":return new Ze(K);case"Metaspace":return new Be(K);case"ByteLevel":return new Dt(K);case"Replace":return new V(K);case"ByteFallback":return new me(K);case"Fuse":return new ge(K);case"Strip":return new $e(K);case"Sequence":return new Nt(K);case"CTC":return new Tt(K);case"BPEDecoder":return new jt(K);default:throw new Error(`Unknown Decoder type: ${K.type}`)}}_call(K){return this.decode(K)}decode(K){return this.decode_chain(K).join("")}decode_chain(K){throw Error("`decode_chain` should be implemented in subclass.")}}class V extends re{decode_chain(K){const ye=I(this.config.pattern);return ye===null?K:K.map(Oe=>Oe.replaceAll(ye,this.config.content))}}class me extends re{constructor(K){super(K),this.text_decoder=new TextDecoder}decode_chain(K){const ye=[];let Oe=[];for(const Ve of K){let He=null;if(Ve.length===6&&Ve.startsWith("<0x")&&Ve.endsWith(">")){const St=parseInt(Ve.slice(3,5),16);isNaN(St)||(He=St)}if(He!==null)Oe.push(He);else{if(Oe.length>0){const St=this.text_decoder.decode(Uint8Array.from(Oe));ye.push(St),Oe=[]}ye.push(Ve)}}if(Oe.length>0){const Ve=this.text_decoder.decode(Uint8Array.from(Oe));ye.push(Ve),Oe=[]}return ye}}class ge extends re{decode_chain(K){return[K.join("")]}}class $e extends re{constructor(K){super(K),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(K){return K.map(ye=>{let Oe=0;for(let He=0;He<this.start&&ye[He]===this.content;++He){Oe=He+1;continue}let Ve=ye.length;for(let He=0;He<this.stop;++He){const St=ye.length-He-1;if(ye[St]===this.content){Ve=St;continue}else break}return ye.slice(Oe,Ve)})}}class Ze extends re{constructor(K){super(K),this.cleanup=K.cleanup}decode_chain(K){return K.map((ye,Oe)=>(Oe!==0&&(ye.startsWith(this.config.prefix)?ye=ye.replace(this.config.prefix,""):ye=" "+ye),this.cleanup&&(ye=x(ye)),ye))}}class Dt extends re{constructor(K){super(K),this.byte_decoder=Ce,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(K){const ye=K.join(""),Oe=new Uint8Array([...ye].map(He=>this.byte_decoder[He]));return this.text_decoder.decode(Oe)}decode_chain(K){const ye=[];let Oe=[];for(const Ve of K)this.added_tokens.find(He=>He.content===Ve)!==void 0?(Oe.length>0&&(ye.push(this.convert_tokens_to_string(Oe)),Oe=[]),ye.push(Ve)):Oe.push(Ve);return Oe.length>0&&ye.push(this.convert_tokens_to_string(Oe)),ye}}class Tt extends re{constructor(K){super(K),this.pad_token=this.config.pad_token,this.word_delimiter_token=this.config.word_delimiter_token,this.cleanup=this.config.cleanup}convert_tokens_to_string(K){if(K.length===0)return"";const ye=[K[0]];for(let He=1;He<K.length;++He)K[He]!==ye.at(-1)&&ye.push(K[He]);let Ve=ye.filter(He=>He!==this.pad_token).join("");return this.cleanup&&(Ve=x(Ve).replaceAll(this.word_delimiter_token," ").trim()),Ve}decode_chain(K){return[this.convert_tokens_to_string(K)]}}class Nt extends re{constructor(K){super(K),this.decoders=K.decoders.map(ye=>re.fromConfig(ye))}decode_chain(K){return this.decoders.reduce((ye,Oe)=>Oe.decode_chain(ye),K)}}class jt extends re{constructor(K){super(K),this.suffix=this.config.suffix}decode_chain(K){return K.map((ye,Oe)=>ye.replaceAll(this.suffix,Oe===K.length-1?"":" "))}}class ht extends re{decode_chain(K){let ye="";for(let Oe=1;Oe<K.length;Oe+=2)ye+=K[Oe];return[ye]}}class _e extends je{constructor(K){super(),this.addPrefixSpace=K.add_prefix_space,this.replacement=K.replacement,this.strRep=K.str_rep||this.replacement,this.prepend_scheme=K.prepend_scheme??"always"}pre_tokenize_text(K,{section_index:ye=void 0}={}){let Oe=K.replaceAll(" ",this.strRep);return this.addPrefixSpace&&!Oe.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&ye===0)&&(Oe=this.strRep+Oe),[Oe]}}class Be extends re{constructor(K){super(K),this.addPrefixSpace=K.add_prefix_space,this.replacement=K.replacement}decode_chain(K){const ye=[];for(let Oe=0;Oe<K.length;++Oe){let Ve=K[Oe].replaceAll(this.replacement," ");this.addPrefixSpace&&Oe==0&&Ve.startsWith(" ")&&(Ve=Ve.substring(1)),ye.push(Ve)}return ye}}class st extends te{constructor(K){super(K),this.charsmap=K.precompiled_charsmap}normalize(K){return K=K.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),K=K.replace(/[\u0009\u000A\u000C\u000D\u1680\u200B\u200C\u200E\u200F\u2028\u2029\u2581\uFEFF\uFFFD]/gm," "),K.includes("～")?K=K.split("～").map(Oe=>Oe.normalize("NFKC")).join("～"):K=K.normalize("NFKC"),K}}class Je extends je{constructor(K){super(),this.tokenizers=K.pretokenizers.map(ye=>je.fromConfig(ye))}pre_tokenize_text(K,ye){return this.tokenizers.reduce((Oe,Ve)=>Ve.pre_tokenize(Oe,ye),[K])}}class _t extends je{constructor(K){super()}pre_tokenize_text(K,ye){return K.match(/\w+|[^\w\s]+/g)||[]}}class $t extends je{constructor(K){super()}pre_tokenize_text(K,ye){return B(K)}}class Wt extends je{constructor(K){super(),this.config=K,this.pattern=I(this.config.pattern),this.content=this.config.content}pre_tokenize_text(K,ye){return this.pattern===null?[K]:[K.replaceAll(this.pattern,this.config.content)]}}const ot=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function nn(it,K,ye,Oe){for(const Ve of Object.keys(it)){const He=K-it[Ve].length,St=ye(Ve),Zt=new Array(He).fill(St);it[Ve]=Oe==="right"?(0,o.mergeArrays)(it[Ve],Zt):(0,o.mergeArrays)(Zt,it[Ve])}}function Gt(it,K){for(const ye of Object.keys(it))it[ye].length=K}class Mt extends i.Callable{constructor(ye,Oe){super();ft(this,"return_token_type_ids",!1);ft(this,"padding_side","right");this._tokenizer_config=Oe,this.normalizer=te.fromConfig(ye.normalizer),this.pre_tokenizer=je.fromConfig(ye.pre_tokenizer),this.model=Ne.fromConfig(ye.model,Oe),this.post_processor=Fe.fromConfig(ye.post_processor),this.decoder=re.fromConfig(ye.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const Ve of ye.added_tokens){const He=new ve(Ve);this.added_tokens.push(He),this.model.tokens_to_ids.set(He.content,He.id),this.model.vocab[He.id]=He.content,He.special&&(this.special_tokens.push(He.content),this.all_special_ids.push(He.id))}if(this.additional_special_tokens=Oe.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_regex=this.added_tokens.length>0?new RegExp(this.added_tokens.toSorted((Ve,He)=>He.content.length-Ve.content.length).map(Ve=>`${Ve.lstrip?"\\s*":""}(${(0,o.escapeRegExp)(Ve.content)})${Ve.rstrip?"\\s*":""}`).join("|")):null,this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.model_max_length=Oe.model_max_length,this.remove_space=Oe.remove_space,this.clean_up_tokenization_spaces=Oe.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=Oe.do_lowercase_and_remove_accent??!1,Oe.padding_side&&(this.padding_side=Oe.padding_side),this.legacy=!1,this.chat_template=Oe.chat_template??null,Array.isArray(this.chat_template)){const Ve=Object.create(null);for(const{name:He,template:St}of this.chat_template){if(typeof He!="string"||typeof St!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');Ve[He]=St}this.chat_template=Ve}this._compiled_template_cache=new Map}getToken(...ye){for(const Oe of ye){const Ve=this._tokenizer_config[Oe];if(Ve)if(typeof Ve=="object"){if(Ve.__type==="AddedToken")return Ve.content;throw Error(`Unknown token: ${Ve}`)}else return Ve}return null}static async from_pretrained(ye,{progress_callback:Oe=null,config:Ve=null,cache_dir:He=null,local_files_only:St=!1,revision:Zt="main",legacy:Lt=null}={}){const Jt=await T(ye,{progress_callback:Oe,config:Ve,cache_dir:He,local_files_only:St,revision:Zt,legacy:Lt});return new this(...Jt)}_call(ye,{text_pair:Oe=null,add_special_tokens:Ve=!0,padding:He=!1,truncation:St=null,max_length:Zt=null,return_tensor:Lt=!0,return_token_type_ids:Jt=null}={}){const fn=Array.isArray(ye);let Rn;if(fn){if(ye.length===0)throw Error("text array must be non-empty");if(Oe!==null){if(Array.isArray(Oe)){if(ye.length!==Oe.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");Rn=ye.map((On,bn)=>this._encode_plus(On,{text_pair:Oe[bn],add_special_tokens:Ve,return_token_type_ids:Jt}))}else Rn=ye.map(On=>this._encode_plus(On,{add_special_tokens:Ve,return_token_type_ids:Jt}))}else{if(ye==null)throw Error("text may not be null or undefined");if(Array.isArray(Oe))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");Rn=[this._encode_plus(ye,{text_pair:Oe,add_special_tokens:Ve,return_token_type_ids:Jt})]}if(Zt===null?He==="max_length"?Zt=this.model_max_length:Zt=(0,l.max)(Rn.map(On=>On.input_ids.length))[0]:St||console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=true` to explicitly truncate examples to max length."),Zt=Math.min(Zt,this.model_max_length??1/0),He||St)for(let On=0;On<Rn.length;++On)Rn[On].input_ids.length!==Zt&&(Rn[On].input_ids.length>Zt?St&&Gt(Rn[On],Zt):He&&nn(Rn[On],Zt,bn=>bn==="input_ids"?this.pad_token_id:0,this.padding_side));const Wn={};if(Lt){if(!(He&&St)&&Rn.some(bn=>{var Bn;for(const ci of Object.keys(bn))if(bn[ci].length!==((Bn=Rn[0][ci])==null?void 0:Bn.length))return!0;return!1}))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");const On=[Rn.length,Rn[0].input_ids.length];for(const bn of Object.keys(Rn[0]))Wn[bn]=new d.Tensor("int64",BigInt64Array.from(Rn.flatMap(Bn=>Bn[bn]).map(BigInt)),On)}else{for(const On of Object.keys(Rn[0]))Wn[On]=Rn.map(bn=>bn[On]);if(!fn)for(const On of Object.keys(Wn))Wn[On]=Wn[On][0]}return Wn}_encode_text(ye){return ye===null?null:(this.added_tokens_regex?ye.split(this.added_tokens_regex).filter(He=>He):[ye]).map((He,St)=>{if(this.added_tokens.find(Lt=>Lt.content===He)!==void 0)return He;{if(this.remove_space===!0&&(He=He.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(He=A(He)),this.normalizer!==null&&(He=this.normalizer(He)),He.length===0)return[];const Lt=this.pre_tokenizer!==null?this.pre_tokenizer(He,{section_index:St}):[He];return this.model(Lt)}}).flat()}_encode_plus(ye,{text_pair:Oe=null,add_special_tokens:Ve=!0,return_token_type_ids:He=null}={}){const{tokens:St,token_type_ids:Zt}=this._tokenize_helper(ye,{pair:Oe,add_special_tokens:Ve}),Lt=this.model.convert_tokens_to_ids(St),Jt={input_ids:Lt,attention_mask:new Array(Lt.length).fill(1)};return(He??this.return_token_type_ids)&&Zt&&(Jt.token_type_ids=Zt),Jt}_tokenize_helper(ye,{pair:Oe=null,add_special_tokens:Ve=!1}={}){const He=this._encode_text(ye),St=this._encode_text(Oe);return this.post_processor?this.post_processor(He,St,{add_special_tokens:Ve}):{tokens:(0,o.mergeArrays)(He??[],St??[])}}tokenize(ye,{pair:Oe=null,add_special_tokens:Ve=!1}={}){return this._tokenize_helper(ye,{pair:Oe,add_special_tokens:Ve}).tokens}encode(ye,{text_pair:Oe=null,add_special_tokens:Ve=!0,return_token_type_ids:He=null}={}){return this._encode_plus(ye,{text_pair:Oe,add_special_tokens:Ve,return_token_type_ids:He}).input_ids}batch_decode(ye,Oe={}){return ye instanceof d.Tensor&&(ye=ye.tolist()),ye.map(Ve=>this.decode(Ve,Oe))}decode(ye,Oe={}){if(ye instanceof d.Tensor&&(ye=E(ye)),!Array.isArray(ye)||ye.length===0||!(0,o.isIntegralNumber)(ye[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(ye,Oe)}decode_single(ye,{skip_special_tokens:Oe=!1,clean_up_tokenization_spaces:Ve=null}){let He=this.model.convert_ids_to_tokens(ye);Oe&&(He=He.filter(Zt=>!this.special_tokens.includes(Zt)));let St=this.decoder?this.decoder(He):He.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(St=St.replaceAll(this.decoder.end_of_word_suffix," "),Oe&&(St=St.trim())),(Ve??this.clean_up_tokenization_spaces)&&(St=x(St)),St}apply_chat_template(ye,{tools:Oe=null,documents:Ve=null,chat_template:He=null,add_generation_prompt:St=!1,tokenize:Zt=!0,padding:Lt=!1,truncation:Jt=!1,max_length:fn=null,return_tensor:Rn=!0,return_dict:Wn=!1,tokenizer_kwargs:On={},...bn}={}){if(this.chat_template&&typeof this.chat_template=="object"||this.chat_template===null){const mt=this.chat_template;if(He!==null&&Object.hasOwn(mt,He))He=mt[He];else if(He===null&&"default"in mt)He=mt.default;else if(He===null)throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(mt).sort()}.`)}else if(this.chat_template)He=this.chat_template;else throw Error("Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co./docs/transformers/main/en/chat_templating");if(typeof He!="string")throw Error(`chat_template must be a string, but got ${typeof He}`);let Bn=this._compiled_template_cache.get(He);Bn===void 0&&(Bn=new p.Template(He),this._compiled_template_cache.set(He,Bn));const ci=Object.create(null);for(const mt of ot){const jr=this.getToken(mt);jr&&(ci[mt]=jr)}const Qr=Bn.render({messages:ye,add_generation_prompt:St,tools:Oe,documents:Ve,...ci,...bn});if(Zt){const mt=this._call(Qr,{add_special_tokens:!1,padding:Lt,truncation:Jt,max_length:fn,return_tensor:Rn,...On});return Wn?mt:mt.input_ids}return Qr}}class mn extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class hn extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class Sn extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class Tn extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class yn extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class En extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class $n extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class zn extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class kn extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class Pt extends Mt{}class Qt extends Mt{}class dn extends Mt{constructor(ye,Oe){super(ye,Oe);ft(this,"return_token_type_ids",!0);console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class Ar extends Mt{constructor(){super(...arguments);ft(this,"return_token_type_ids",!0)}}class Ci extends Mt{}class xs extends Mt{}class gr extends Mt{}class Nr extends Mt{constructor(K,ye){super(K,ye),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(Oe=>this.languageRegex.test(Oe)),this.lang_to_token=Oe=>Oe}_build_translation_inputs(K,ye,Oe){return hs(this,K,ye,Oe)}}class yr extends Nr{}class Pi extends Mt{}class wr extends Mt{constructor(K,ye){var He,St;const Oe=".,!?…。，、।۔،",Ve=(St=(He=K.pre_tokenizer)==null?void 0:He.pretokenizers[0])==null?void 0:St.pattern;Ve&&Ve.Regex===` ?[^(\\s|[${Oe}])]+`&&(Ve.Regex=` ?[^\\s${Oe}]+`),super(K,ye)}}const gi="▁";class ds extends Mt{constructor(ye,Oe){super(ye,Oe);ft(this,"padding_side","left");this.legacy=Oe.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new _e({replacement:gi,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(ye){if(ye===null)return null;if(this.legacy||ye.length===0)return super._encode_text(ye);let Oe=super._encode_text(gi+ye.replaceAll(gi," "));return Oe.length>1&&Oe[0]===gi&&this.special_tokens.includes(Oe[1])&&(Oe=Oe.slice(1)),Oe}}class fs extends Mt{}class fo extends Mt{}class Xs extends Mt{}class $r extends Mt{}class Ji extends Mt{}class ui extends Mt{}class Io extends Mt{}class es extends Mt{}class Ai extends Mt{}function hs(it,K,ye,Oe){if(!("language_codes"in it)||!Array.isArray(it.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in it)||!(it.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in it)||typeof it.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const Ve=Oe.src_lang,He=Oe.tgt_lang;if(!it.language_codes.includes(He))throw new Error(`Target language code "${He}" is not valid. Must be one of: {${it.language_codes.join(", ")}}`);if(Ve!==void 0){if(!it.language_codes.includes(Ve))throw new Error(`Source language code "${Ve}" is not valid. Must be one of: {${it.language_codes.join(", ")}}`);for(const St of it.post_processor.config.single)if("SpecialToken"in St&&it.languageRegex.test(St.SpecialToken.id)){St.SpecialToken.id=it.lang_to_token(Ve);break}}return Oe.forced_bos_token_id=it.model.convert_tokens_to_ids([it.lang_to_token(He)])[0],it._call(K,ye)}class ts extends Mt{constructor(K,ye){super(K,ye),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(Oe=>this.languageRegex.test(Oe)),this.lang_to_token=Oe=>Oe}_build_translation_inputs(K,ye,Oe){return hs(this,K,ye,Oe)}}class $i extends Mt{constructor(K,ye){super(K,ye),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(Oe=>this.languageRegex.test(Oe)).map(Oe=>Oe.slice(2,-2)),this.lang_to_token=Oe=>`__${Oe}__`}_build_translation_inputs(K,ye,Oe){return hs(this,K,ye,Oe)}}class Qs extends Mt{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(K,{return_timestamps:ye=!1,return_language:Oe=!1,time_precision:Ve=null,force_full_sequences:He=!0}={}){if(Ve===null)throw Error("Must specify time_precision");let St=null;const Zt=ye==="word";function Lt(){return{language:St,timestamp:[null,null],text:""}}const Jt=[];let fn=Lt(),Rn=0;const Wn=this.timestamp_begin;let On=[],bn=[],Bn=!1,ci=null;const Qr=new Set(this.all_special_ids);for(const tr of K){const Rr=tr.tokens,di=Zt?tr.token_timestamps:null;let Mn=null,Ii=Wn;if("stride"in tr){const[ur,sn,nr]=tr.stride;if(Rn-=sn,ci=ur-nr,sn&&(Ii=sn/Ve+Wn),nr)for(let _r=Rr.length-1;_r>=0;--_r){const Fr=Number(Rr[_r]);if(Fr>=Wn){if(Mn!==null&&(Fr-Wn)*Ve<ci)break;Mn=Fr}}}let Ir=[],lr=[];for(let ur=0;ur<Rr.length;++ur){const sn=Number(Rr[ur]);if(Qr.has(sn)){const nr=this.decode([sn]),_r=v.WHISPER_LANGUAGE_MAPPING.get(nr.slice(2,-2));if(_r!==void 0){if(St!==null&&_r!==St&&!ye){On.push(Ir);const Fr=this.findLongestCommonSequence(On)[0],Fi=this.decode(Fr);fn.text=Fi,Jt.push(fn),On=[],Ir=[],fn=Lt()}St=fn.language=_r}}else if(sn>=Wn){const nr=(sn-Wn)*Ve+Rn,_r=(0,l.round)(nr,2);if(Mn!==null&&sn>=Mn)Bn=!0;else if(Bn||On.length>0&&sn<Ii)Bn=!1;else if(fn.timestamp[0]===null)fn.timestamp[0]=_r;else if(_r!==fn.timestamp[0]){fn.timestamp[1]=_r,On.push(Ir),Zt&&bn.push(lr);const[Fr,Fi]=this.findLongestCommonSequence(On,bn),gn=this.decode(Fr);fn.text=gn,Zt&&(fn.words=this.collateWordTimestamps(Fr,Fi,St)),Jt.push(fn),On=[],Ir=[],bn=[],lr=[],fn=Lt()}}else if(Ir.push(sn),Zt){let nr=(0,l.round)(di[ur]+Rn,2),_r;if(ur+1<di.length){_r=(0,l.round)(di[ur+1]+Rn,2);const Fr=this.decode([sn]);j.test(Fr)&&(_r=(0,l.round)(Math.min(nr+Ve,_r),2))}else _r=null;lr.push([nr,_r])}}if("stride"in tr){const[ur,sn,nr]=tr.stride;Rn+=ur-nr}Ir.length>0?(On.push(Ir),Zt&&bn.push(lr)):On.every(ur=>ur.length===0)&&(fn=Lt(),On=[],Ir=[],bn=[],lr=[])}if(On.length>0){if(He&&ye)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[tr,Rr]=this.findLongestCommonSequence(On,bn),di=this.decode(tr);fn.text=di,Zt&&(fn.words=this.collateWordTimestamps(tr,Rr,St)),Jt.push(fn)}let mt=Object.create(null);const jr=Jt.map(tr=>tr.text).join("");if(ye||Oe){for(let tr=0;tr<Jt.length;++tr){const Rr=Jt[tr];ye||delete Rr.timestamp,Oe||delete Rr.language}if(Zt){const tr=[];for(const Rr of Jt)for(const di of Rr.words)tr.push(di);mt={chunks:tr}}else mt={chunks:Jt}}return[jr,mt]}findLongestCommonSequence(K,ye=null){let Oe=K[0],Ve=Oe.length,He=[];const St=Array.isArray(ye)&&ye.length>0;let Zt=St?[]:null,Lt=St?ye[0]:null;for(let Jt=1;Jt<K.length;++Jt){const fn=K[Jt];let Rn=0,Wn=[Ve,Ve,0,0];const On=fn.length;for(let tr=1;tr<Ve+On;++tr){const Rr=Math.max(0,Ve-tr),di=Math.min(Ve,Ve+On-tr),Mn=Oe.slice(Rr,di),Ii=Math.max(0,tr-Ve),Ir=Math.min(On,tr),lr=fn.slice(Ii,Ir);if(Mn.length!==lr.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");let ur;St?ur=Mn.filter((_r,Fr)=>_r===lr[Fr]&&Lt[Rr+Fr]<=ye[Jt][Ii+Fr]).length:ur=Mn.filter((_r,Fr)=>_r===lr[Fr]).length;const sn=tr/1e4,nr=ur/tr+sn;ur>1&&nr>Rn&&(Rn=nr,Wn=[Rr,di,Ii,Ir])}const[bn,Bn,ci,Qr]=Wn,mt=Math.floor((Bn+bn)/2),jr=Math.floor((Qr+ci)/2);He.push(...Oe.slice(0,mt)),Oe=fn.slice(jr),Ve=Oe.length,St&&(Zt.push(...Lt.slice(0,mt)),Lt=ye[Jt].slice(jr))}return He.push(...Oe),St?(Zt.push(...Lt),[He,Zt]):[He,[]]}collateWordTimestamps(K,ye,Oe){const[Ve,He,St]=this.combineTokensIntoWords(K,Oe),Zt=[];for(let Lt=0;Lt<Ve.length;++Lt){const Jt=St[Lt];Zt.push({text:Ve[Lt],timestamp:[ye[Jt.at(0)][0],ye[Jt.at(-1)][1]]})}return Zt}combineTokensIntoWords(K,ye,Oe=`"'“¡¿([{-`,Ve=`"'.。,，!！?？:：”)]}、`){ye=ye??"english";let He,St,Zt;return["chinese","japanese","thai","lao","myanmar"].includes(ye)?[He,St,Zt]=this.splitTokensOnUnicode(K):[He,St,Zt]=this.splitTokensOnSpaces(K),this.mergePunctuations(He,St,Zt,Oe,Ve)}decode(K,ye){let Oe;return ye!=null&&ye.decode_with_timestamps?(K instanceof d.Tensor&&(K=E(K)),Oe=this.decodeWithTimestamps(K,ye)):Oe=super.decode(K,ye),Oe}decodeWithTimestamps(K,ye){const Oe=(ye==null?void 0:ye.time_precision)??.02,Ve=Array.from(this.all_special_ids).at(-1)+1;let He=[[]];for(let St of K)if(St=Number(St),St>=Ve){const Zt=((St-Ve)*Oe).toFixed(2);He.push(`<|${Zt}|>`),He.push([])}else He[He.length-1].push(St);return He=He.map(St=>typeof St=="string"?St:super.decode(St,ye)),He.join("")}splitTokensOnUnicode(K){const ye=this.decode(K,{decode_with_timestamps:!0}),Oe="�",Ve=[],He=[],St=[];let Zt=[],Lt=[],Jt=0;for(let fn=0;fn<K.length;++fn){const Rn=K[fn];Zt.push(Rn),Lt.push(fn);const Wn=this.decode(Zt,{decode_with_timestamps:!0});(!Wn.includes(Oe)||ye[Jt+Wn.indexOf(Oe)]===Oe)&&(Ve.push(Wn),He.push(Zt),St.push(Lt),Zt=[],Lt=[],Jt+=Wn.length)}return[Ve,He,St]}splitTokensOnSpaces(K){const[ye,Oe,Ve]=this.splitTokensOnUnicode(K),He=[],St=[],Zt=[],Lt=new RegExp(`^[${W}]$`,"gu");for(let Jt=0;Jt<ye.length;++Jt){const fn=ye[Jt],Rn=Oe[Jt],Wn=Ve[Jt],On=Rn[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),bn=fn.startsWith(" "),Bn=fn.trim(),ci=Lt.test(Bn);if(On||bn||ci||He.length===0)He.push(fn),St.push(Rn),Zt.push(Wn);else{const Qr=He.length-1;He[Qr]+=fn,St[Qr].push(...Rn),Zt[Qr].push(...Wn)}}return[He,St,Zt]}mergePunctuations(K,ye,Oe,Ve,He){const St=structuredClone(K),Zt=structuredClone(ye),Lt=structuredClone(Oe);let Jt=St.length-2,fn=St.length-1;for(;Jt>=0;)St[Jt].startsWith(" ")&&Ve.includes(St[Jt].trim())?(St[fn]=St[Jt]+St[fn],Zt[fn]=(0,o.mergeArrays)(Zt[Jt],Zt[fn]),Lt[fn]=(0,o.mergeArrays)(Lt[Jt],Lt[fn]),St[Jt]="",Zt[Jt]=[],Lt[Jt]=[]):fn=Jt,--Jt;for(Jt=0,fn=1;fn<St.length;)!St[Jt].endsWith(" ")&&He.includes(St[fn])?(St[Jt]+=St[fn],Zt[Jt]=(0,o.mergeArrays)(Zt[Jt],Zt[fn]),Lt[Jt]=(0,o.mergeArrays)(Lt[Jt],Lt[fn]),St[fn]="",Zt[fn]=[],Lt[fn]=[]):Jt=fn,++fn;return[St.filter(Rn=>Rn),Zt.filter(Rn=>Rn.length>0),Lt.filter(Rn=>Rn.length>0)]}get_decoder_prompt_ids({language:K=null,task:ye=null,no_timestamps:Oe=!0}={}){const Ve=[];if(K){const He=(0,v.whisper_language_to_code)(K),St=this.model.tokens_to_ids.get(`<|${He}|>`);if(St===void 0)throw new Error(`Unable to find language "${He}" in model vocabulary. Please report this issue at ${_.GITHUB_ISSUE_URL}.`);Ve.push(St)}else Ve.push(null);if(ye){if(ye=ye.toLowerCase(),ye!=="transcribe"&&ye!=="translate")throw new Error(`Task "${ye}" is not supported. Must be one of: ["transcribe", "translate"]`);const He=this.model.tokens_to_ids.get(`<|${ye}|>`);if(He===void 0)throw new Error(`Unable to find task "${ye}" in model vocabulary. Please report this issue at ${_.GITHUB_ISSUE_URL}.`);Ve.push(He)}else Ve.push(null);if(Oe){const He=this.model.tokens_to_ids.get("<|notimestamps|>");if(He===void 0)throw new Error(`Unable to find "<|notimestamps|>" in model vocabulary. Please report this issue at ${_.GITHUB_ISSUE_URL}.`);Ve.push(He)}return Ve.map((He,St)=>[St+1,He]).filter(He=>He[1]!==null)}}class Ts extends Mt{}class Pn extends Mt{}class Zn extends Mt{}class ho extends Mt{constructor(K,ye){super(K,ye),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(Oe=>this.languageRegex.test(Oe)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(K){if(K===null)return null;const[ye,...Oe]=K.trim().split(this.languageRegex);if(Oe.length===0)return super._encode_text(ye);if(Oe.length===2){const[Ve,He]=Oe;return this.supported_language_codes.includes(Ve)||console.warn(`Unsupported language code "${Ve}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),(0,o.mergeArrays)([Ve],super._encode_text(He))}}}class po extends Mt{}class Ys extends Mt{}class br extends Mt{}class Ms extends Mt{}class ps extends Mt{}class ms extends Mt{constructor(K,ye){super(K,ye),this.decoder=new ht({})}}class kr extends Mt{}class _i{static async from_pretrained(K,{progress_callback:ye=null,config:Oe=null,cache_dir:Ve=null,local_files_only:He=!1,revision:St="main",legacy:Zt=null}={}){var Wn;const[Lt,Jt]=await T(K,{progress_callback:ye,config:Oe,cache_dir:Ve,local_files_only:He,revision:St,legacy:Zt}),fn=((Wn=Jt.tokenizer_class)==null?void 0:Wn.replace(/Fast$/,""))??"PreTrainedTokenizer";let Rn=this.TOKENIZER_CLASS_MAPPING[fn];return Rn||(console.warn(`Unknown tokenizer class "${fn}", attempting to construct from base class.`),Rn=Mt),new Rn(Lt,Jt)}}ft(_i,"TOKENIZER_CLASS_MAPPING",{T5Tokenizer:Ci,DistilBertTokenizer:Pt,CamembertTokenizer:Qt,DebertaTokenizer:yn,DebertaV2Tokenizer:En,BertTokenizer:mn,HerbertTokenizer:$n,ConvBertTokenizer:zn,RoFormerTokenizer:kn,XLMTokenizer:dn,ElectraTokenizer:Ar,MobileBertTokenizer:Sn,SqueezeBertTokenizer:Tn,AlbertTokenizer:hn,GPT2Tokenizer:xs,BartTokenizer:gr,MBartTokenizer:Nr,MBart50Tokenizer:yr,RobertaTokenizer:Pi,WhisperTokenizer:Qs,CodeGenTokenizer:Ts,CLIPTokenizer:Pn,SiglipTokenizer:Zn,MarianTokenizer:ho,BloomTokenizer:wr,NllbTokenizer:ts,M2M100Tokenizer:$i,LlamaTokenizer:ds,CodeLlamaTokenizer:fs,XLMRobertaTokenizer:fo,MPNetTokenizer:Xs,FalconTokenizer:$r,GPTNeoXTokenizer:Ji,EsmTokenizer:ui,Wav2Vec2CTCTokenizer:po,BlenderbotTokenizer:Ys,BlenderbotSmallTokenizer:br,SpeechT5Tokenizer:Ms,NougatTokenizer:ps,VitsTokenizer:ms,Qwen2Tokenizer:Io,GemmaTokenizer:es,Grok1Tokenizer:Ai,CohereTokenizer:kr,PreTrainedTokenizer:Mt})},"./src/utils/audio.js":(e,t,n)=>{n.r(t),n.d(t,{hamming:()=>v,hanning:()=>p,mel_filter_bank:()=>x,read_audio:()=>d,spectrogram:()=>B,window_function:()=>W});var i=n("./src/utils/hub.js"),o=n("./src/utils/maths.js"),a=n("./src/utils/core.js"),l=n("./src/utils/tensor.js");async function d(j,ae){if(typeof AudioContext>"u")throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. 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Using bilinear instead.`),A="bilinear");case"nearest":case"bilinear":case"bicubic":N=N.affine([E/this.width,0,0,x/this.height],{interpolator:A});break;case"lanczos":N=N.resize({width:E,height:x,fit:"fill",kernel:"lanczos3"});break;default:throw new Error(`Resampling method ${A} is not supported.`)}return await _(N)}}async pad([E,x,k,A]){if(E=Math.max(E,0),x=Math.max(x,0),k=Math.max(k,0),A=Math.max(A,0),E===0&&x===0&&k===0&&A===0)return this;if(d){const N=this.channels,R=this.toCanvas(),B=this.width+E+x,W=this.height+k+A,j=p(B,W).getContext("2d");return j.drawImage(R,0,0,this.width,this.height,E,k,B,W),new I(j.getImageData(0,0,B,W).data,B,W,4).convert(N)}else{const N=this.toSharp().extend({left:E,right:x,top:k,bottom:A});return await _(N)}}async crop([E,x,k,A]){if(E=Math.max(E,0),x=Math.max(x,0),k=Math.min(k,this.width-1),A=Math.min(A,this.height-1),E===0&&x===0&&k===this.width-1&&A===this.height-1)return this;const N=k-E+1,R=A-x+1;if(d){const B=this.channels,W=this.toCanvas(),j=p(N,R).getContext("2d");return j.drawImage(W,E,x,N,R,0,0,N,R),new I(j.getImageData(0,0,N,R).data,N,R,4).convert(B)}else{const B=this.toSharp().extract({left:E,top:x,width:N,height:R});return await _(B)}}async center_crop(E,x){if(this.width===E&&this.height===x)return this;const k=(this.width-E)/2,A=(this.height-x)/2;if(d){const N=this.channels,R=this.toCanvas(),B=p(E,x).getContext("2d");let W=0,j=0,ae=0,ve=0;return k>=0?W=k:ae=-k,A>=0?j=A:ve=-A,B.drawImage(R,W,j,E,x,ae,ve,E,x),new I(B.getImageData(0,0,E,x).data,E,x,4).convert(N)}else{let N=this.toSharp();if(k>=0&&A>=0)N=N.extract({left:Math.floor(k),top:Math.floor(A),width:E,height:x});else if(k<=0&&A<=0){const R=Math.floor(-A),B=Math.floor(-k);N=N.extend({top:R,left:B,right:E-this.width-B,bottom:x-this.height-R})}else{let R=[0,0],B=0;A<0?(R[0]=Math.floor(-A),R[1]=x-this.height-R[0]):B=Math.floor(A);let W=[0,0],j=0;k<0?(W[0]=Math.floor(-k),W[1]=E-this.width-W[0]):j=Math.floor(k),N=N.extend({top:R[0],bottom:R[1],left:W[0],right:W[1]}).extract({left:j,top:B,width:E,height:x})}return await _(N)}}async toBlob(E="image/png",x=1){if(!d)throw new Error("toBlob() is only supported in browser environments.");return await this.toCanvas().convertToBlob({type:E,quality:x})}toTensor(E="CHW"){let x=new a.Tensor("uint8",new Uint8Array(this.data),[this.height,this.width,this.channels]);if(E!=="HWC")if(E==="CHW")x=x.permute(2,0,1);else throw new Error(`Unsupported channel format: ${E}`);return x}toCanvas(){if(!d)throw new Error("toCanvas() is only supported in browser environments.");const E=this.clone().rgba(),x=p(E.width,E.height),k=new v(E.data,E.width,E.height);return x.getContext("2d").putImageData(k,0,0),x}_update(E,x,k,A=null){return this.data=E,this.width=x,this.height=k,A!==null&&(this.channels=A),this}clone(){return new I(this.data.slice(),this.width,this.height,this.channels)}convert(E){if(this.channels===E)return this;switch(E){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(E){if(d){if(c)throw new Error("Unable to save an image from a Web Worker.");const x=E.split(".").pop().toLowerCase(),k=M.get(x)??"image/png",A=await this.toBlob(k),N=URL.createObjectURL(A),R=document.createElement("a");R.href=N,R.download=E,R.click(),R.remove()}else{if(o.env.useFS)return await this.toSharp().toFile(E);throw new Error("Unable to save the image because filesystem is disabled in this environment.")}}toSharp(){if(d)throw new Error("toSharp() is only supported in server-side environments.");return l(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}}},"./src/utils/maths.js":(e,t,n)=>{n.r(t),n.d(t,{FFT:()=>C,bankers_round:()=>k,cos_sim:()=>c,dot:()=>d,dynamic_time_warping:()=>A,interpolate_data:()=>i,log_softmax:()=>l,magnitude:()=>p,max:()=>_,medianFilter:()=>E,min:()=>v,permute_data:()=>o,round:()=>x,softmax:()=>a});function i(N,[R,B,W],[j,ae],ve="bilinear",Ne=!1){const oe=ae/W,Se=j/B,G=new N.constructor(j*ae*R),Ce=B*W,gt=j*ae;for(let Me=0;Me<j;++Me)for(let te=0;te<ae;++te){const fe=Me*ae+te,Ae=(te+.5)/oe-.5,ne=(Me+.5)/Se-.5;let xe=Math.floor(Ae),pt=Math.floor(ne);const Ye=Math.min(xe+1,W-1),et=Math.min(pt+1,B-1);xe=Math.max(xe,0),pt=Math.max(pt,0);const ct=Ae-xe,Et=ne-pt,Rt=(1-ct)*(1-Et),je=ct*(1-Et),Ie=(1-ct)*Et,rt=ct*Et,dt=pt*W,xt=et*W,z=dt+xe,Fe=dt+Ye,Re=xt+xe,he=xt+Ye;for(let ue=0;ue<R;++ue){const Ee=ue*Ce;G[ue*gt+fe]=Rt*N[Ee+z]+je*N[Ee+Fe]+Ie*N[Ee+Re]+rt*N[Ee+he]}}return G}function o(N,R,B){const W=new Array(B.length),j=new Array(B.length);for(let Ne=B.length-1,oe=1;Ne>=0;--Ne)j[Ne]=oe,W[Ne]=R[B[Ne]],oe*=W[Ne];const ae=B.map((Ne,oe)=>j[B.indexOf(oe)]),ve=new N.constructor(N.length);for(let Ne=0;Ne<N.length;++Ne){let oe=0;for(let Se=R.length-1,G=Ne;Se>=0;--Se)oe+=G%R[Se]*ae[Se],G=Math.floor(G/R[Se]);ve[oe]=N[Ne]}return[ve,W]}function a(N){const R=_(N)[0],B=N.map(ae=>Math.exp(ae-R)),W=B.reduce((ae,ve)=>ae+ve,0);return B.map(ae=>ae/W)}function l(N){return a(N).map(W=>Math.log(W))}function d(N,R){let B=0;for(let W=0;W<N.length;++W)B+=N[W]*R[W];return B}function c(N,R){const B=d(N,R),W=p(N),j=p(R);return B/(W*j)}function p(N){return Math.sqrt(N.reduce((R,B)=>R+B*B,0))}function v(N){if(N.length===0)throw Error("Array must not be empty");let R=N[0],B=0;for(let W=1;W<N.length;++W)N[W]<R&&(R=N[W],B=W);return[R,B]}function _(N){if(N.length===0)throw Error("Array must not be empty");let R=N[0],B=0;for(let W=1;W<N.length;++W)N[W]>R&&(R=N[W],B=W);return[Number(R),B]}function T(N){return N>0&&(N&N-1)===0}class 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Error("Input and output buffers must be different");this._realTransform4(R,B,1)}inverseTransform(R,B){if(R===B)throw new Error("Input and output buffers must be different");this._transform4(R,B,-1);for(let W=0;W<R.length;++W)R[W]/=this.size}_transform4(R,B,W){const j=this._csize;let ve=1<<this._width,Ne=j/ve<<1,oe,Se;const G=this._bitrev;if(Ne===4)for(oe=0,Se=0;oe<j;oe+=Ne,++Se){const gt=G[Se];this._singleTransform2(B,R,oe,gt,ve)}else for(oe=0,Se=0;oe<j;oe+=Ne,++Se){const gt=G[Se];this._singleTransform4(B,R,oe,gt,ve,W)}const Ce=this.table;for(ve>>=2;ve>=2;ve>>=2){Ne=j/ve<<1;const gt=Ne>>>2;for(oe=0;oe<j;oe+=Ne){const Me=oe+gt-1;for(let te=oe,fe=0;te<Me;te+=2,fe+=ve){const Ae=te,ne=Ae+gt,xe=ne+gt,pt=xe+gt,Ye=R[Ae],et=R[Ae+1],ct=R[ne],Et=R[ne+1],Rt=R[xe],je=R[xe+1],Ie=R[pt],rt=R[pt+1],dt=Ce[fe],xt=W*Ce[fe+1],z=ct*dt-Et*xt,Fe=ct*xt+Et*dt,Re=Ce[2*fe],he=W*Ce[2*fe+1],ue=Rt*Re-je*he,Ee=Rt*he+je*Re,q=Ce[3*fe],re=W*Ce[3*fe+1],V=Ie*q-rt*re,me=Ie*re+rt*q,ge=Ye+ue,$e=et+Ee,Ze=Ye-ue,Dt=et-Ee,Tt=z+V,Nt=Fe+me,jt=W*(z-V),ht=W*(Fe-me);R[Ae]=ge+Tt,R[Ae+1]=$e+Nt,R[ne]=Ze+ht,R[ne+1]=Dt-jt,R[xe]=ge-Tt,R[xe+1]=$e-Nt,R[pt]=Ze-ht,R[pt+1]=Dt+jt}}}}_singleTransform2(R,B,W,j,ae){const ve=R[j],Ne=R[j+1],oe=R[j+ae],Se=R[j+ae+1];B[W]=ve+oe,B[W+1]=Ne+Se,B[W+2]=ve-oe,B[W+3]=Ne-Se}_singleTransform4(R,B,W,j,ae,ve){const Ne=ae*2,oe=ae*3,Se=R[j],G=R[j+1],Ce=R[j+ae],gt=R[j+ae+1],Me=R[j+Ne],te=R[j+Ne+1],fe=R[j+oe],Ae=R[j+oe+1],ne=Se+Me,xe=G+te,pt=Se-Me,Ye=G-te,et=Ce+fe,ct=gt+Ae,Et=ve*(Ce-fe),Rt=ve*(gt-Ae);B[W]=ne+et,B[W+1]=xe+ct,B[W+2]=pt+Rt,B[W+3]=Ye-Et,B[W+4]=ne-et,B[W+5]=xe-ct,B[W+6]=pt-Rt,B[W+7]=Ye+Et}_realTransform4(R,B,W){const j=this._csize;let ve=1<<this._width,Ne=j/ve<<1,oe,Se;const G=this._bitrev;if(Ne===4)for(oe=0,Se=0;oe<j;oe+=Ne,++Se){const Me=G[Se];this._singleRealTransform2(B,R,oe,Me>>>1,ve>>>1)}else for(oe=0,Se=0;oe<j;oe+=Ne,++Se){const Me=G[Se];this._singleRealTransform4(B,R,oe,Me>>>1,ve>>>1,W)}const Ce=this.table;for(ve>>=2;ve>=2;ve>>=2){Ne=j/ve<<1;const Me=Ne>>>1,te=Me>>>1,fe=te>>>1;for(oe=0;oe<j;oe+=Ne)for(let Ae=0,ne=0;Ae<=fe;Ae+=2,ne+=ve){const xe=oe+Ae,pt=xe+te,Ye=pt+te,et=Ye+te,ct=R[xe],Et=R[xe+1],Rt=R[pt],je=R[pt+1],Ie=R[Ye],rt=R[Ye+1],dt=R[et],xt=R[et+1],z=ct,Fe=Et,Re=Ce[ne],he=W*Ce[ne+1],ue=Rt*Re-je*he,Ee=Rt*he+je*Re,q=Ce[2*ne],re=W*Ce[2*ne+1],V=Ie*q-rt*re,me=Ie*re+rt*q,ge=Ce[3*ne],$e=W*Ce[3*ne+1],Ze=dt*ge-xt*$e,Dt=dt*$e+xt*ge,Tt=z+V,Nt=Fe+me,jt=z-V,ht=Fe-me,_e=ue+Ze,Be=Ee+Dt,st=W*(ue-Ze),Je=W*(Ee-Dt);if(R[xe]=Tt+_e,R[xe+1]=Nt+Be,R[pt]=jt+Je,R[pt+1]=ht-st,Ae===0){R[Ye]=Tt-_e,R[Ye+1]=Nt-Be;continue}if(Ae===fe)continue;const _t=oe+te-Ae,$t=oe+Me-Ae;R[_t]=jt-W*Je,R[_t+1]=-ht-W*st,R[$t]=Tt-W*_e,R[$t+1]=-Nt+W*Be}}const gt=j>>>1;for(let Me=2;Me<gt;Me+=2)R[j-Me]=R[Me],R[j-Me+1]=-R[Me+1]}_singleRealTransform2(R,B,W,j,ae){const ve=R[j],Ne=R[j+ae];B[W]=ve+Ne,B[W+1]=0,B[W+2]=ve-Ne,B[W+3]=0}_singleRealTransform4(R,B,W,j,ae,ve){const Ne=ae*2,oe=ae*3,Se=R[j],G=R[j+ae],Ce=R[j+Ne],gt=R[j+oe],Me=Se+Ce,te=Se-Ce,fe=G+gt,Ae=ve*(G-gt);B[W]=Me+fe,B[W+1]=0,B[W+2]=te,B[W+3]=-Ae,B[W+4]=Me-fe,B[W+5]=0,B[W+6]=te,B[W+7]=Ae}}class I{constructor(R){const B=2*(R-1),W=2*(2*R-1),j=2**Math.ceil(Math.log2(W));this.bufferSize=j,this._a=B;const ae=new Float64Array(W),ve=new Float64Array(j);this._chirpBuffer=new Float64Array(j),this._buffer1=new Float64Array(j),this._buffer2=new Float64Array(j),this._outBuffer1=new Float64Array(j),this._outBuffer2=new Float64Array(j);const Ne=-2*Math.PI/R,oe=Math.cos(Ne),Se=Math.sin(Ne);for(let G=0;G<W>>1;++G){const Ce=(G+1-R)**2/2,gt=Math.sqrt(oe**2+Se**2)**Ce,Me=Ce*Math.atan2(Se,oe),te=2*G;ae[te]=gt*Math.cos(Me),ae[te+1]=gt*Math.sin(Me),ve[te]=ae[te],ve[te+1]=-ae[te+1]}this._slicedChirpBuffer=ae.subarray(B,W),this._f=new M(j>>1),this._f.transform(this._chirpBuffer,ve)}_transform(R,B,W){const j=this._buffer1,ae=this._buffer2,ve=this._outBuffer1,Ne=this._outBuffer2,oe=this._chirpBuffer,Se=this._slicedChirpBuffer,G=this._a;if(W)for(let Ce=0;Ce<Se.length;Ce+=2){const gt=Ce+1,Me=Ce>>1,te=B[Me];j[Ce]=te*Se[Ce],j[gt]=te*Se[gt]}else for(let Ce=0;Ce<Se.length;Ce+=2){const gt=Ce+1;j[Ce]=B[Ce]*Se[Ce]-B[gt]*Se[gt],j[gt]=B[Ce]*Se[gt]+B[gt]*Se[Ce]}this._f.transform(ve,j);for(let Ce=0;Ce<oe.length;Ce+=2){const gt=Ce+1;ae[Ce]=ve[Ce]*oe[Ce]-ve[gt]*oe[gt],ae[gt]=ve[Ce]*oe[gt]+ve[gt]*oe[Ce]}this._f.inverseTransform(Ne,ae);for(let Ce=0;Ce<Ne.length;Ce+=2){const gt=Ne[Ce+G],Me=Ne[Ce+G+1],te=Se[Ce],fe=Se[Ce+1];R[Ce]=gt*te-Me*fe,R[Ce+1]=gt*fe+Me*te}}transform(R,B){this._transform(R,B,!1)}realTransform(R,B){this._transform(R,B,!0)}}class C{constructor(R){this.fft_length=R,this.isPowerOfTwo=T(R),this.isPowerOfTwo?(this.fft=new M(R),this.outputBufferSize=2*R):(this.fft=new I(R),this.outputBufferSize=this.fft.bufferSize)}realTransform(R,B){this.fft.realTransform(R,B)}transform(R,B){this.fft.transform(R,B)}}function E(N,R){if(R%2===0||R<=0)throw new Error("Window size must be a positive odd number");const B=new N.constructor(N.length),W=new N.constructor(R),j=Math.floor(R/2);for(let ae=0;ae<N.length;++ae){let ve=0;for(let Ne=-j;Ne<=j;++Ne){let oe=ae+Ne;oe<0?oe=Math.abs(oe):oe>=N.length&&(oe=2*(N.length-1)-oe),W[ve++]=N[oe]}W.sort(),B[ae]=W[j]}return B}function x(N,R){const B=Math.pow(10,R);return Math.round(N*B)/B}function k(N){const R=Math.round(N);return Math.abs(N)%1===.5?R%2===0?R:R-1:R}function A(N){const R=N.length,B=N[0].length,W=[R+1,B+1],j=Array.from({length:W[0]},()=>Array(W[1]).fill(1/0));j[0][0]=0;const ae=Array.from({length:W[0]},()=>Array(W[1]).fill(-1));for(let G=1;G<W[1];++G)for(let Ce=1;Ce<W[0];++Ce){const gt=j[Ce-1][G-1],Me=j[Ce-1][G],te=j[Ce][G-1];let fe,Ae;gt<Me&&gt<te?(fe=gt,Ae=0):Me<gt&&Me<te?(fe=Me,Ae=1):(fe=te,Ae=2),j[Ce][G]=N[Ce-1][G-1]+fe,ae[Ce][G]=Ae}for(let G=0;G<W[1];++G)ae[0][G]=2;for(let G=0;G<W[0];++G)ae[G][0]=1;let ve=R,Ne=B,oe=[],Se=[];for(;ve>0||Ne>0;)switch(oe.push(ve-1),Se.push(Ne-1),ae[ve][Ne]){case 0:--ve,--Ne;break;case 1:--ve;break;case 2:--Ne;break;default:throw new Error(`Internal error in dynamic time warping. Unexpected trace[${ve}, ${Ne}]. Please file a bug report.`)}return oe.reverse(),Se.reverse(),[oe,Se]}},"./src/utils/tensor.js":(e,t,n)=>{n.r(t),n.d(t,{Tensor:()=>d,cat:()=>N,full:()=>ve,full_like:()=>Ne,interpolate:()=>v,interpolate_4d:()=>_,layer_norm:()=>E,matmul:()=>T,mean:()=>W,mean_pooling:()=>C,ones:()=>oe,ones_like:()=>Se,permute:()=>p,quantize_embeddings:()=>gt,rfft:()=>M,stack:()=>R,std_mean:()=>B,topk:()=>I,zeros:()=>G,zeros_like:()=>Ce});var i=n("./src/utils/maths.js"),o=n("./src/backends/onnx.js"),a=n("./src/ops/registry.js");const l=Object.freeze({float32:Float32Array,float16:Uint16Array,float64:Float64Array,string:Array,int8:Int8Array,uint8:Uint8Array,int16:Int16Array,uint16:Uint16Array,int32:Int32Array,uint32:Uint32Array,int64:BigInt64Array,uint64:BigUint64Array,bool:Uint8Array});class d{constructor(...te){ft(this,"ort_tensor");return(0,o.isONNXTensor)(te[0])?this.ort_tensor=te[0]:this.ort_tensor=new o.Tensor(te[0],te[1],te[2]),new Proxy(this,{get:(fe,Ae)=>{if(typeof Ae=="string"){let ne=Number(Ae);if(Number.isInteger(ne))return fe._getitem(ne)}return fe[Ae]},set:(fe,Ae,ne)=>fe[Ae]=ne})}get dims(){return this.ort_tensor.dims}set dims(te){this.ort_tensor.dims=te}get type(){return this.ort_tensor.type}get data(){return this.ort_tensor.data}get size(){return this.ort_tensor.size}get location(){return this.ort_tensor.location}dispose(){this.ort_tensor.dispose()}*[Symbol.iterator](){const[te,...fe]=this.dims;if(fe.length>0){const Ae=fe.reduce((ne,xe)=>ne*xe);for(let ne=0;ne<te;++ne)yield this._subarray(ne,Ae,fe)}else yield*this.data}_getitem(te){const[fe,...Ae]=this.dims;if(te=A(te,fe),Ae.length>0){const ne=Ae.reduce((xe,pt)=>xe*pt);return this._subarray(te,ne,Ae)}else return new d(this.type,[this.data[te]],Ae)}indexOf(te){const fe=this.data;for(let Ae=0;Ae<fe.length;++Ae)if(fe[Ae]==te)return Ae;return-1}_subarray(te,fe,Ae){const ne=te*fe,xe=(te+1)*fe,pt="subarray"in this.data?this.data.subarray(ne,xe):this.data.slice(ne,xe);return new d(this.type,pt,Ae)}item(){const te=this.data;if(te.length!==1)throw new Error(`a Tensor with ${te.length} elements cannot be converted to Scalar`);return te[0]}tolist(){return c(this.data,this.dims)}sigmoid(){return this.clone().sigmoid_()}sigmoid_(){const te=this.data;for(let fe=0;fe<te.length;++fe)te[fe]=1/(1+Math.exp(-te[fe]));return this}mul(te){return this.clone().mul_(te)}mul_(te){const fe=this.data;for(let Ae=0;Ae<fe.length;++Ae)fe[Ae]*=te;return this}div(te){return this.clone().div_(te)}div_(te){const fe=this.data;for(let Ae=0;Ae<fe.length;++Ae)fe[Ae]/=te;return this}add(te){return this.clone().add_(te)}add_(te){const fe=this.data;for(let Ae=0;Ae<fe.length;++Ae)fe[Ae]+=te;return this}sub(te){return this.clone().sub_(te)}sub_(te){const fe=this.data;for(let Ae=0;Ae<fe.length;++Ae)fe[Ae]-=te;return this}clone(){return new d(this.type,this.data.slice(),this.dims.slice())}slice(...te){const fe=[],Ae=[];for(let ct=0;ct<this.dims.length;++ct){let Et=te[ct];if(Et==null)Ae.push([0,this.dims[ct]]),fe.push(this.dims[ct]);else if(typeof Et=="number")Et=A(Et,this.dims[ct],ct),Ae.push([Et,Et+1]);else if(Array.isArray(Et)&&Et.length===2){let[Rt,je]=Et;if(Rt=Rt===null?0:A(Rt,this.dims[ct],ct,!1),je=je===null?this.dims[ct]:A(je,this.dims[ct],ct,!1),Rt>je)throw new Error(`Invalid slice: ${Et}`);const Ie=[Math.max(Rt,0),Math.min(je,this.dims[ct])];Ae.push(Ie),fe.push(Ie[1]-Ie[0])}else throw new Error(`Invalid slice: ${Et}`)}const ne=Ae.map(([ct,Et])=>Et-ct),xe=ne.reduce((ct,Et)=>ct*Et),pt=this.data,Ye=new pt.constructor(xe),et=this.stride();for(let ct=0;ct<xe;++ct){let Et=0;for(let Rt=ne.length-1,je=ct;Rt>=0;--Rt){const Ie=ne[Rt];Et+=(je%Ie+Ae[Rt][0])*et[Rt],je=Math.floor(je/Ie)}Ye[ct]=pt[Et]}return new d(this.type,Ye,fe)}permute(...te){return p(this,te)}transpose(...te){return this.permute(...te)}sum(te=null,fe=!1){return this.norm(1,te,fe)}norm(te="fro",fe=null,Ae=!1){if(te==="fro")te=2;else if(typeof te=="string")throw Error(`Unsupported norm: ${te}`);const ne=this.data;if(fe===null){let Ye=ne.reduce((et,ct)=>et+ct**te,0)**(1/te);return new d(this.type,[Ye],[])}fe=A(fe,this.dims.length);const xe=this.dims.slice();xe[fe]=1;const pt=new ne.constructor(ne.length/this.dims[fe]);for(let Ye=0;Ye<ne.length;++Ye){let et=0;for(let ct=this.dims.length-1,Et=Ye,Rt=1;ct>=0;--ct){const je=this.dims[ct];if(ct!==fe){const Ie=Et%je;et+=Ie*Rt,Rt*=xe[ct]}Et=Math.floor(Et/je)}pt[et]+=ne[Ye]**te}if(te!==1)for(let Ye=0;Ye<pt.length;++Ye)pt[Ye]=pt[Ye]**(1/te);return Ae||xe.splice(fe,1),new d(this.type,pt,xe)}normalize_(te=2,fe=1){fe=A(fe,this.dims.length);const Ae=this.norm(te,fe,!0),ne=this.data,xe=Ae.data;for(let pt=0;pt<ne.length;++pt){let Ye=0;for(let et=this.dims.length-1,ct=pt,Et=1;et>=0;--et){const Rt=this.dims[et];if(et!==fe){const je=ct%Rt;Ye+=je*Et,Et*=this.dims[et]}ct=Math.floor(ct/Rt)}ne[pt]/=xe[Ye]}return this}normalize(te=2,fe=1){return this.clone().normalize_(te,fe)}stride(){return j(this.dims)}squeeze(te=null){return new d(this.type,this.data,x(this.dims,te))}squeeze_(te=null){return this.dims=x(this.dims,te),this}unsqueeze(te=null){return new d(this.type,this.data,k(this.dims,te))}unsqueeze_(te=null){return this.dims=k(this.dims,te),this}flatten_(te=0,fe=-1){fe=(fe+this.dims.length)%this.dims.length;let Ae=this.dims.slice(0,te),ne=this.dims.slice(te,fe+1),xe=this.dims.slice(fe+1);return this.dims=[...Ae,ne.reduce((pt,Ye)=>pt*Ye,1),...xe],this}flatten(te=0,fe=-1){return this.clone().flatten_(te,fe)}view(...te){let fe=-1;for(let ne=0;ne<te.length;++ne)if(te[ne]===-1){if(fe!==-1)throw new Error("Only one dimension can be inferred");fe=ne}const Ae=this.data;if(fe!==-1){const ne=te.reduce((xe,pt,Ye)=>Ye!==fe?xe*pt:xe,1);te[fe]=Ae.length/ne}return new d(this.type,Ae,te)}neg_(){const te=this.data;for(let fe=0;fe<te.length;++fe)te[fe]=-te[fe];return this}neg(){return this.clone().neg_()}clamp_(te,fe){const Ae=this.data;for(let ne=0;ne<Ae.length;++ne)Ae[ne]=Math.min(Math.max(Ae[ne],te),fe);return this}clamp(te,fe){return this.clone().clamp_(te,fe)}round_(){const te=this.data;for(let fe=0;fe<te.length;++fe)te[fe]=Math.round(te[fe]);return this}round(){return this.clone().round_()}mean(te=null,fe=!1){return W(this,te,fe)}to(te){if(this.type===te)return this;if(!l.hasOwnProperty(te))throw new Error(`Unsupported type: ${te}`);return new d(te,l[te].from(this.data),this.dims)}}function c(Me,te){const fe=Me.length,Ae=te.reduce((xe,pt)=>xe*pt);if(fe!==Ae)throw Error(`cannot reshape array of size ${fe} into shape (${te})`);let ne=Me;for(let xe=te.length-1;xe>=0;xe--)ne=ne.reduce((pt,Ye)=>{let et=pt[pt.length-1];return et.length<te[xe]?et.push(Ye):pt.push([Ye]),pt},[[]]);return ne[0]}function p(Me,te){const[fe,Ae]=(0,i.permute_data)(Me.data,Me.dims,te);return new d(Me.type,fe,Ae)}function v(Me,[te,fe],Ae="bilinear",ne=!1){const xe=Me.dims.at(-3)??1,pt=Me.dims.at(-2),Ye=Me.dims.at(-1);let et=(0,i.interpolate_data)(Me.data,[xe,pt,Ye],[te,fe],Ae,ne);return new d(Me.type,et,[xe,te,fe])}async function _(Me,{size:te=null,mode:fe="bilinear"}={}){if(Me.dims.length!==4)throw new Error("`interpolate_4d` currently only supports 4D input.");if(!te)throw new Error("`interpolate_4d` requires a `size` argument.");let Ae;if(te.length===2)Ae=[...Me.dims.slice(0,2),...te];else if(te.length===3)Ae=[Me.dims[0],...te];else if(te.length===4)Ae=te;else throw new Error("`size` must be of length 2, 3, or 4.");let ne;if(fe==="bilinear")ne=await a.TensorOpRegistry.bilinear_interpolate_4d;else if(fe==="bicubic")ne=await a.TensorOpRegistry.bicubic_interpolate_4d;else throw new Error(`Unsupported mode: ${fe}`);const xe=new d("int64",new BigInt64Array(Ae.map(BigInt)),[Ae.length]);return await ne({x:Me,s:xe})}async function T(Me,te){return await(await a.TensorOpRegistry.matmul)({a:Me,b:te})}async function M(Me,te){return await(await a.TensorOpRegistry.rfft)({x:Me,a:te})}async function I(Me,te){const 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Extractor:()=>Ln.MobileNetV2FeatureExtractor,MobileNetV2ForImageClassification:()=>ee.MobileNetV2ForImageClassification,MobileNetV2Model:()=>ee.MobileNetV2Model,MobileNetV2PreTrainedModel:()=>ee.MobileNetV2PreTrainedModel,MobileNetV3FeatureExtractor:()=>Ln.MobileNetV3FeatureExtractor,MobileNetV3ForImageClassification:()=>ee.MobileNetV3ForImageClassification,MobileNetV3Model:()=>ee.MobileNetV3Model,MobileNetV3PreTrainedModel:()=>ee.MobileNetV3PreTrainedModel,MobileNetV4FeatureExtractor:()=>Ln.MobileNetV4FeatureExtractor,MobileNetV4ForImageClassification:()=>ee.MobileNetV4ForImageClassification,MobileNetV4Model:()=>ee.MobileNetV4Model,MobileNetV4PreTrainedModel:()=>ee.MobileNetV4PreTrainedModel,MobileViTFeatureExtractor:()=>Ln.MobileViTFeatureExtractor,MobileViTForImageClassification:()=>ee.MobileViTForImageClassification,MobileViTImageProcessor:()=>Ln.MobileViTImageProcessor,MobileViTModel:()=>ee.MobileViTModel,MobileViTPreTrainedModel:()=>ee.MobileViTPreTrainedModel,MobileViTV2ForImageClassification:()=>ee.MobileViTV2ForImageClassification,MobileViTV2Model:()=>ee.MobileViTV2Model,MobileViTV2PreTrainedModel:()=>ee.MobileViTV2PreTrainedModel,ModelOutput:()=>ee.ModelOutput,Moondream1ForConditionalGeneration:()=>ee.Moondream1ForConditionalGeneration,MptForCausalLM:()=>ee.MptForCausalLM,MptModel:()=>ee.MptModel,MptPreTrainedModel:()=>ee.MptPreTrainedModel,MusicgenForCausalLM:()=>ee.MusicgenForCausalLM,MusicgenForConditionalGeneration:()=>ee.MusicgenForConditionalGeneration,MusicgenModel:()=>ee.MusicgenModel,MusicgenPreTrainedModel:()=>ee.MusicgenPreTrainedModel,NllbTokenizer:()=>qn.NllbTokenizer,NomicBertModel:()=>ee.NomicBertModel,NomicBertPreTrainedModel:()=>ee.NomicBertPreTrainedModel,NougatImageProcessor:()=>Ln.NougatImageProcessor,NougatTokenizer:()=>qn.NougatTokenizer,OPTForCausalLM:()=>ee.OPTForCausalLM,OPTModel:()=>ee.OPTModel,OPTPreTrainedModel:()=>ee.OPTPreTrainedModel,ObjectDetectionPipeline:()=>Ur.ObjectDetectionPipeline,OpenELMForCausalLM:()=>ee.OpenELMForCausalLM,OpenELMModel:()=>ee.OpenELMModel,OpenELMPreTrainedModel:()=>ee.OpenELMPreTrainedModel,OwlViTFeatureExtractor:()=>Ln.OwlViTFeatureExtractor,OwlViTForObjectDetection:()=>ee.OwlViTForObjectDetection,OwlViTModel:()=>ee.OwlViTModel,OwlViTPreTrainedModel:()=>ee.OwlViTPreTrainedModel,OwlViTProcessor:()=>Ln.OwlViTProcessor,Owlv2ForObjectDetection:()=>ee.Owlv2ForObjectDetection,Owlv2ImageProcessor:()=>Ln.Owlv2ImageProcessor,Owlv2Model:()=>ee.Owlv2Model,Owlv2PreTrainedModel:()=>ee.Owlv2PreTrainedModel,Phi3ForCausalLM:()=>ee.Phi3ForCausalLM,Phi3Model:()=>ee.Phi3Model,Phi3PreTrainedModel:()=>ee.Phi3PreTrainedModel,PhiForCausalLM:()=>ee.PhiForCausalLM,PhiModel:()=>ee.PhiModel,PhiPreTrainedModel:()=>ee.PhiPreTrainedModel,Pipeline:()=>Ur.Pipeline,PreTrainedModel:()=>ee.PreTrainedModel,PreTrainedTokenizer:()=>qn.PreTrainedTokenizer,PretrainedConfig:()=>yy.PretrainedConfig,PretrainedMixin:()=>ee.PretrainedMixin,Processor:()=>Ln.Processor,PyAnnoteFeatureExtractor:()=>Ln.PyAnnoteFeatureExtractor,PyAnnoteForAudioFrameClassification:()=>ee.PyAnnoteForAudioFrameClassification,PyAnnoteModel:()=>ee.PyAnnoteModel,PyAnnotePreTrainedModel:()=>ee.PyAnnotePreTrainedModel,PyAnnoteProcessor:()=>Ln.PyAnnoteProcessor,QuestionAnsweringModelOutput:()=>ee.QuestionAnsweringModelOutput,QuestionAnsweringPipeline:()=>Ur.QuestionAnsweringPipeline,Qwen2ForCausalLM:()=>ee.Qwen2ForCausalLM,Qwen2Model:()=>ee.Qwen2Model,Qwen2PreTrainedModel:()=>ee.Qwen2PreTrainedModel,Qwen2Tokenizer:()=>qn.Qwen2Tokenizer,RTDetrForObjectDetection:()=>ee.RTDetrForObjectDetection,RTDetrImageProcessor:()=>Ln.RTDetrImageProcessor,RTDetrModel:()=>ee.RTDetrModel,RTDetrObjectDetectionOutput:()=>ee.RTDetrObjectDetectionOutput,RTDetrPreTrainedModel:()=>ee.RTDetrPreTrainedModel,RawImage:()=>l3.RawImage,ResNetForImageClassification:()=>ee.ResNetForImageClassification,ResNetModel:()=>ee.ResNetModel,ResNetPreTrainedModel:()=>ee.ResNetPreTrainedModel,RoFormerForMaskedLM:()=>ee.RoFormerForMaskedLM,RoFormerForQuestionAnswering:()=>ee.RoFormerForQuestionAnswering,RoFormerForSequenceClassification:()=>ee.RoFormerForSequenceClassification,RoFormerForTokenClassification:()=>ee.RoFormerForTokenClassification,RoFormerModel:()=>ee.RoFormerModel,RoFormerPreTrainedModel:()=>ee.RoFormerPreTrainedModel,RoFormerTokenizer:()=>qn.RoFormerTokenizer,RobertaForMaskedLM:()=>ee.RobertaForMaskedLM,RobertaForQuestionAnswering:()=>ee.RobertaForQuestionAnswering,RobertaForSequenceClassification:()=>ee.RobertaForSequenceClassification,RobertaForTokenClassification:()=>ee.RobertaForTokenClassification,RobertaModel:()=>ee.RobertaModel,RobertaPreTrainedModel:()=>ee.RobertaPreTrainedModel,RobertaTokenizer:()=>qn.RobertaTokenizer,SamImageProcessor:()=>Ln.SamImageProcessor,SamImageSegmentationOutput:()=>ee.SamImageSegmentationOutput,SamModel:()=>ee.SamModel,SamPreTrainedModel:()=>ee.SamPreTrainedModel,SamProcessor:()=>Ln.SamProcessor,SapiensFeatureExtractor:()=>Ln.SapiensFeatureExtractor,SapiensForDepthEstimation:()=>ee.SapiensForDepthEstimation,S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a3=Gr("./src/env.js"),Ur=Gr("./src/pipelines.js"),ee=Gr("./src/models.js"),qn=Gr("./src/tokenizers.js"),Ln=Gr("./src/processors.js"),yy=Gr("./src/configs.js"),Ic=Gr("./src/utils/audio.js"),l3=Gr("./src/utils/image.js"),wi=Gr("./src/utils/tensor.js"),Ps=Gr("./src/utils/maths.js"),vy=Gr("./src/generation/streamers.js"),Mh=Gr("./src/generation/stopping_criteria.js");D.ASTFeatureExtractor;D.ASTForAudioClassification;D.ASTModel;D.ASTPreTrainedModel;D.AlbertForMaskedLM;D.AlbertForQuestionAnswering;D.AlbertForSequenceClassification;D.AlbertModel;D.AlbertPreTrainedModel;D.AlbertTokenizer;D.AudioClassificationPipeline;D.AutoConfig;var 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JSZip v3.10.1 - A JavaScript class for generating and reading zip files
<http://stuartk.com/jszip>

(c) 2009-2016 Stuart Knightley <stuart [at] stuartk.com>
Dual licenced under the MIT license or GPLv3. See https://raw.github.com/Stuk/jszip/main/LICENSE.markdown.

JSZip uses the library pako released under the MIT license :
https://github.com/nodeca/pako/blob/main/LICENSE
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I=M.meta.percent||0,C=this.entriesCount,E=this._sources.length;this.accumulate?this.contentBuffer.push(M):(this.bytesWritten+=M.data.length,c.prototype.push.call(this,{data:M.data,meta:{currentFile:this.currentFile,percent:C?(I+100*(C-E-1))/C:100}}))},T.prototype.openedSource=function(M){this.currentSourceOffset=this.bytesWritten,this.currentFile=M.file.name;var I=this.streamFiles&&!M.file.dir;if(I){var C=l(M,I,!1,this.currentSourceOffset,this.zipPlatform,this.encodeFileName);this.push({data:C.fileRecord,meta:{percent:0}})}else this.accumulate=!0},T.prototype.closedSource=function(M){this.accumulate=!1;var I=this.streamFiles&&!M.file.dir,C=l(M,I,!0,this.currentSourceOffset,this.zipPlatform,this.encodeFileName);if(this.dirRecords.push(C.dirRecord),I)this.push({data:function(E){return _.DATA_DESCRIPTOR+a(E.crc32,4)+a(E.compressedSize,4)+a(E.uncompressedSize,4)}(M),meta:{percent:100}});else for(this.push({data:C.fileRecord,meta:{percent:0}});this.contentBuffer.length;)this.push(this.contentBuffer.shift());this.currentFile=null},T.prototype.flush=function(){for(var M=this.bytesWritten,I=0;I<this.dirRecords.length;I++)this.push({data:this.dirRecords[I],meta:{percent:100}});var C=this.bytesWritten-M,E=function(x,k,A,N,R){var B=d.transformTo("string",R(N));return _.CENTRAL_DIRECTORY_END+"\0\0\0\0"+a(x,2)+a(x,2)+a(k,4)+a(A,4)+a(B.length,2)+B}(this.dirRecords.length,C,M,this.zipComment,this.encodeFileName);this.push({data:E,meta:{percent:100}})},T.prototype.prepareNextSource=function(){this.previous=this._sources.shift(),this.openedSource(this.previous.streamInfo),this.isPaused?this.previous.pause():this.previous.resume()},T.prototype.registerPrevious=function(M){this._sources.push(M);var I=this;return M.on("data",function(C){I.processChunk(C)}),M.on("end",function(){I.closedSource(I.previous.streamInfo),I._sources.length?I.prepareNextSource():I.end()}),M.on("error",function(C){I.error(C)}),this},T.prototype.resume=function(){return!!c.prototype.resume.call(this)&&(!this.previous&&this._sources.length?(this.prepareNextSource(),!0):this.previous||this._sources.length||this.generatedError?void 0:(this.end(),!0))},T.prototype.error=function(M){var I=this._sources;if(!c.prototype.error.call(this,M))return!1;for(var C=0;C<I.length;C++)try{I[C].error(M)}catch{}return!0},T.prototype.lock=function(){c.prototype.lock.call(this);for(var M=this._sources,I=0;I<M.length;I++)M[I].lock()},i.exports=T},{"../crc32":4,"../signature":23,"../stream/GenericWorker":28,"../utf8":31,"../utils":32}],9:[function(n,i,o){var a=n("../compressions"),l=n("./ZipFileWorker");o.generateWorker=function(d,c,p){var v=new l(c.streamFiles,p,c.platform,c.encodeFileName),_=0;try{d.forEach(function(T,M){_++;var I=function(k,A){var N=k||A,R=a[N];if(!R)throw new Error(N+" is not a valid compression method !");return R}(M.options.compression,c.compression),C=M.options.compressionOptions||c.compressionOptions||{},E=M.dir,x=M.date;M._compressWorker(I,C).withStreamInfo("file",{name:T,dir:E,date:x,comment:M.comment||"",unixPermissions:M.unixPermissions,dosPermissions:M.dosPermissions}).pipe(v)}),v.entriesCount=_}catch(T){v.error(T)}return v}},{"../compressions":3,"./ZipFileWorker":8}],10:[function(n,i,o){function a(){if(!(this instanceof a))return new a;if(arguments.length)throw new Error("The constructor with parameters has been removed in JSZip 3.0, please check the upgrade guide.");this.files=Object.create(null),this.comment=null,this.root="",this.clone=function(){var l=new a;for(var d in this)typeof this[d]!="function"&&(l[d]=this[d]);return l}}(a.prototype=n("./object")).loadAsync=n("./load"),a.support=n("./support"),a.defaults=n("./defaults"),a.version="3.10.1",a.loadAsync=function(l,d){return new a().loadAsync(l,d)},a.external=n("./external"),i.exports=a},{"./defaults":5,"./external":6,"./load":11,"./object":15,"./support":30}],11:[function(n,i,o){var a=n("./utils"),l=n("./external"),d=n("./utf8"),c=n("./zipEntries"),p=n("./stream/Crc32Probe"),v=n("./nodejsUtils");function _(T){return new l.Promise(function(M,I){var C=T.decompressed.getContentWorker().pipe(new p);C.on("error",function(E){I(E)}).on("end",function(){C.streamInfo.crc32!==T.decompressed.crc32?I(new Error("Corrupted zip : CRC32 mismatch")):M()}).resume()})}i.exports=function(T,M){var I=this;return M=a.extend(M||{},{base64:!1,checkCRC32:!1,optimizedBinaryString:!1,createFolders:!1,decodeFileName:d.utf8decode}),v.isNode&&v.isStream(T)?l.Promise.reject(new Error("JSZip can't accept a stream when loading a zip file.")):a.prepareContent("the loaded zip file",T,!0,M.optimizedBinaryString,M.base64).then(function(C){var E=new c(M);return E.load(C),E}).then(function(C){var E=[l.Promise.resolve(C)],x=C.files;if(M.checkCRC32)for(var k=0;k<x.length;k++)E.push(_(x[k]));return l.Promise.all(E)}).then(function(C){for(var E=C.shift(),x=E.files,k=0;k<x.length;k++){var A=x[k],N=A.fileNameStr,R=a.resolve(A.fileNameStr);I.file(R,A.decompressed,{binary:!0,optimizedBinaryString:!0,date:A.date,dir:A.dir,comment:A.fileCommentStr.length?A.fileCommentStr:null,unixPermissions:A.unixPermissions,dosPermissions:A.dosPermissions,createFolders:M.createFolders}),A.dir||(I.file(R).unsafeOriginalName=N)}return E.zipComment.length&&(I.comment=E.zipComment),I})}},{"./external":6,"./nodejsUtils":14,"./stream/Crc32Probe":25,"./utf8":31,"./utils":32,"./zipEntries":33}],12:[function(n,i,o){var a=n("../utils"),l=n("../stream/GenericWorker");function d(c,p){l.call(this,"Nodejs stream input adapter for "+c),this._upstreamEnded=!1,this._bindStream(p)}a.inherits(d,l),d.prototype._bindStream=function(c){var p=this;(this._stream=c).pause(),c.on("data",function(v){p.push({data:v,meta:{percent:0}})}).on("error",function(v){p.isPaused?this.generatedError=v:p.error(v)}).on("end",function(){p.isPaused?p._upstreamEnded=!0:p.end()})},d.prototype.pause=function(){return!!l.prototype.pause.call(this)&&(this._stream.pause(),!0)},d.prototype.resume=function(){return!!l.prototype.resume.call(this)&&(this._upstreamEnded?this.end():this._stream.resume(),!0)},i.exports=d},{"../stream/GenericWorker":28,"../utils":32}],13:[function(n,i,o){var a=n("readable-stream").Readable;function l(d,c,p){a.call(this,c),this._helper=d;var v=this;d.on("data",function(_,T){v.push(_)||v._helper.pause(),p&&p(T)}).on("error",function(_){v.emit("error",_)}).on("end",function(){v.push(null)})}n("../utils").inherits(l,a),l.prototype._read=function(){this._helper.resume()},i.exports=l},{"../utils":32,"readable-stream":16}],14:[function(n,i,o){i.exports={isNode:typeof Buffer<"u",newBufferFrom:function(a,l){if(Buffer.from&&Buffer.from!==Uint8Array.from)return Buffer.from(a,l);if(typeof a=="number")throw new Error('The "data" argument must not be a number');return new Buffer(a,l)},allocBuffer:function(a){if(Buffer.alloc)return Buffer.alloc(a);var l=new Buffer(a);return l.fill(0),l},isBuffer:function(a){return Buffer.isBuffer(a)},isStream:function(a){return a&&typeof a.on=="function"&&typeof a.pause=="function"&&typeof a.resume=="function"}}},{}],15:[function(n,i,o){function a(R,B,W){var j,ae=d.getTypeOf(B),ve=d.extend(W||{},v);ve.date=ve.date||new Date,ve.compression!==null&&(ve.compression=ve.compression.toUpperCase()),typeof ve.unixPermissions=="string"&&(ve.unixPermissions=parseInt(ve.unixPermissions,8)),ve.unixPermissions&&16384&ve.unixPermissions&&(ve.dir=!0),ve.dosPermissions&&16&ve.dosPermissions&&(ve.dir=!0),ve.dir&&(R=x(R)),ve.createFolders&&(j=E(R))&&k.call(this,j,!0);var Ne=ae==="string"&&ve.binary===!1&&ve.base64===!1;W&&W.binary!==void 0||(ve.binary=!Ne),(B instanceof _&&B.uncompressedSize===0||ve.dir||!B||B.length===0)&&(ve.base64=!1,ve.binary=!0,B="",ve.compression="STORE",ae="string");var oe=null;oe=B instanceof _||B instanceof c?B:I.isNode&&I.isStream(B)?new C(R,B):d.prepareContent(R,B,ve.binary,ve.optimizedBinaryString,ve.base64);var Se=new T(R,oe,ve);this.files[R]=Se}var l=n("./utf8"),d=n("./utils"),c=n("./stream/GenericWorker"),p=n("./stream/StreamHelper"),v=n("./defaults"),_=n("./compressedObject"),T=n("./zipObject"),M=n("./generate"),I=n("./nodejsUtils"),C=n("./nodejs/NodejsStreamInputAdapter"),E=function(R){R.slice(-1)==="/"&&(R=R.substring(0,R.length-1));var B=R.lastIndexOf("/");return 0<B?R.substring(0,B):""},x=function(R){return R.slice(-1)!=="/"&&(R+="/"),R},k=function(R,B){return B=B!==void 0?B:v.createFolders,R=x(R),this.files[R]||a.call(this,R,null,{dir:!0,createFolders:B}),this.files[R]};function A(R){return Object.prototype.toString.call(R)==="[object RegExp]"}var N={load:function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade guide.")},forEach:function(R){var B,W,j;for(B in this.files)j=this.files[B],(W=B.slice(this.root.length,B.length))&&B.slice(0,this.root.length)===this.root&&R(W,j)},filter:function(R){var B=[];return this.forEach(function(W,j){R(W,j)&&B.push(j)}),B},file:function(R,B,W){if(arguments.length!==1)return R=this.root+R,a.call(this,R,B,W),this;if(A(R)){var j=R;return this.filter(function(ve,Ne){return!Ne.dir&&j.test(ve)})}var ae=this.files[this.root+R];return ae&&!ae.dir?ae:null},folder:function(R){if(!R)return this;if(A(R))return this.filter(function(ae,ve){return ve.dir&&R.test(ae)});var B=this.root+R,W=k.call(this,B),j=this.clone();return j.root=W.name,j},remove:function(R){R=this.root+R;var B=this.files[R];if(B||(R.slice(-1)!=="/"&&(R+="/"),B=this.files[R]),B&&!B.dir)delete this.files[R];else for(var W=this.filter(function(ae,ve){return ve.name.slice(0,R.length)===R}),j=0;j<W.length;j++)delete this.files[W[j].name];return this},generate:function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade guide.")},generateInternalStream:function(R){var B,W={};try{if((W=d.extend(R||{},{streamFiles:!1,compression:"STORE",compressionOptions:null,type:"",platform:"DOS",comment:null,mimeType:"application/zip",encodeFileName:l.utf8encode})).type=W.type.toLowerCase(),W.compression=W.compression.toUpperCase(),W.type==="binarystring"&&(W.type="string"),!W.type)throw new Error("No output type specified.");d.checkSupport(W.type),W.platform!=="darwin"&&W.platform!=="freebsd"&&W.platform!=="linux"&&W.platform!=="sunos"||(W.platform="UNIX"),W.platform==="win32"&&(W.platform="DOS");var j=W.comment||this.comment||"";B=M.generateWorker(this,W,j)}catch(ae){(B=new c("error")).error(ae)}return new p(B,W.type||"string",W.mimeType)},generateAsync:function(R,B){return this.generateInternalStream(R).accumulate(B)},generateNodeStream:function(R,B){return(R=R||{}).type||(R.type="nodebuffer"),this.generateInternalStream(R).toNodejsStream(B)}};i.exports=N},{"./compressedObject":2,"./defaults":5,"./generate":9,"./nodejs/NodejsStreamInputAdapter":12,"./nodejsUtils":14,"./stream/GenericWorker":28,"./stream/StreamHelper":29,"./utf8":31,"./utils":32,"./zipObject":35}],16:[function(n,i,o){i.exports=n("stream")},{stream:void 0}],17:[function(n,i,o){var a=n("./DataReader");function l(d){a.call(this,d);for(var c=0;c<this.data.length;c++)d[c]=255&d[c]}n("../utils").inherits(l,a),l.prototype.byteAt=function(d){return this.data[this.zero+d]},l.prototype.lastIndexOfSignature=function(d){for(var c=d.charCodeAt(0),p=d.charCodeAt(1),v=d.charCodeAt(2),_=d.charCodeAt(3),T=this.length-4;0<=T;--T)if(this.data[T]===c&&this.data[T+1]===p&&this.data[T+2]===v&&this.data[T+3]===_)return T-this.zero;return-1},l.prototype.readAndCheckSignature=function(d){var c=d.charCodeAt(0),p=d.charCodeAt(1),v=d.charCodeAt(2),_=d.charCodeAt(3),T=this.readData(4);return c===T[0]&&p===T[1]&&v===T[2]&&_===T[3]},l.prototype.readData=function(d){if(this.checkOffset(d),d===0)return[];var c=this.data.slice(this.zero+this.index,this.zero+this.index+d);return this.index+=d,c},i.exports=l},{"../utils":32,"./DataReader":18}],18:[function(n,i,o){var a=n("../utils");function l(d){this.data=d,this.length=d.length,this.index=0,this.zero=0}l.prototype={checkOffset:function(d){this.checkIndex(this.index+d)},checkIndex:function(d){if(this.length<this.zero+d||d<0)throw new Error("End of data reached (data length = "+this.length+", asked index = "+d+"). Corrupted zip ?")},setIndex:function(d){this.checkIndex(d),this.index=d},skip:function(d){this.setIndex(this.index+d)},byteAt:function(){},readInt:function(d){var c,p=0;for(this.checkOffset(d),c=this.index+d-1;c>=this.index;c--)p=(p<<8)+this.byteAt(c);return this.index+=d,p},readString:function(d){return a.transformTo("string",this.readData(d))},readData:function(){},lastIndexOfSignature:function(){},readAndCheckSignature:function(){},readDate:function(){var d=this.readInt(4);return new Date(Date.UTC(1980+(d>>25&127),(d>>21&15)-1,d>>16&31,d>>11&31,d>>5&63,(31&d)<<1))}},i.exports=l},{"../utils":32}],19:[function(n,i,o){var a=n("./Uint8ArrayReader");function l(d){a.call(this,d)}n("../utils").inherits(l,a),l.prototype.readData=function(d){this.checkOffset(d);var c=this.data.slice(this.zero+this.index,this.zero+this.index+d);return this.index+=d,c},i.exports=l},{"../utils":32,"./Uint8ArrayReader":21}],20:[function(n,i,o){var a=n("./DataReader");function l(d){a.call(this,d)}n("../utils").inherits(l,a),l.prototype.byteAt=function(d){return this.data.charCodeAt(this.zero+d)},l.prototype.lastIndexOfSignature=function(d){return this.data.lastIndexOf(d)-this.zero},l.prototype.readAndCheckSignature=function(d){return d===this.readData(4)},l.prototype.readData=function(d){this.checkOffset(d);var c=this.data.slice(this.zero+this.index,this.zero+this.index+d);return this.index+=d,c},i.exports=l},{"../utils":32,"./DataReader":18}],21:[function(n,i,o){var a=n("./ArrayReader");function l(d){a.call(this,d)}n("../utils").inherits(l,a),l.prototype.readData=function(d){if(this.checkOffset(d),d===0)return new Uint8Array(0);var c=this.data.subarray(this.zero+this.index,this.zero+this.index+d);return this.index+=d,c},i.exports=l},{"../utils":32,"./ArrayReader":17}],22:[function(n,i,o){var a=n("../utils"),l=n("../support"),d=n("./ArrayReader"),c=n("./StringReader"),p=n("./NodeBufferReader"),v=n("./Uint8ArrayReader");i.exports=function(_){var T=a.getTypeOf(_);return a.checkSupport(T),T!=="string"||l.uint8array?T==="nodebuffer"?new p(_):l.uint8array?new v(a.transformTo("uint8array",_)):new d(a.transformTo("array",_)):new c(_)}},{"../support":30,"../utils":32,"./ArrayReader":17,"./NodeBufferReader":19,"./StringReader":20,"./Uint8ArrayReader":21}],23:[function(n,i,o){o.LOCAL_FILE_HEADER="PK",o.CENTRAL_FILE_HEADER="PK
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p=this;this.dataIsReady=!1,this.index=0,this.max=0,this.data=null,this.type="",this._tickScheduled=!1,c.then(function(v){p.dataIsReady=!0,p.data=v,p.max=v&&v.length||0,p.type=a.getTypeOf(v),p.isPaused||p._tickAndRepeat()},function(v){p.error(v)})}a.inherits(d,l),d.prototype.cleanUp=function(){l.prototype.cleanUp.call(this),this.data=null},d.prototype.resume=function(){return!!l.prototype.resume.call(this)&&(!this._tickScheduled&&this.dataIsReady&&(this._tickScheduled=!0,a.delay(this._tickAndRepeat,[],this)),!0)},d.prototype._tickAndRepeat=function(){this._tickScheduled=!1,this.isPaused||this.isFinished||(this._tick(),this.isFinished||(a.delay(this._tickAndRepeat,[],this),this._tickScheduled=!0))},d.prototype._tick=function(){if(this.isPaused||this.isFinished)return!1;var c=null,p=Math.min(this.max,this.index+16384);if(this.index>=this.max)return this.end();switch(this.type){case"string":c=this.data.substring(this.index,p);break;case"uint8array":c=this.data.subarray(this.index,p);break;case"array":case"nodebuffer":c=this.data.slice(this.index,p)}return this.index=p,this.push({data:c,meta:{percent:this.max?this.index/this.max*100:0}})},i.exports=d},{"../utils":32,"./GenericWorker":28}],28:[function(n,i,o){function a(l){this.name=l||"default",this.streamInfo={},this.generatedError=null,this.extraStreamInfo={},this.isPaused=!0,this.isFinished=!1,this.isLocked=!1,this._listeners={data:[],end:[],error:[]},this.previous=null}a.prototype={push:function(l){this.emit("data",l)},end:function(){if(this.isFinished)return!1;this.flush();try{this.emit("end"),this.cleanUp(),this.isFinished=!0}catch(l){this.emit("error",l)}return!0},error:function(l){return!this.isFinished&&(this.isPaused?this.generatedError=l:(this.isFinished=!0,this.emit("error",l),this.previous&&this.previous.error(l),this.cleanUp()),!0)},on:function(l,d){return this._listeners[l].push(d),this},cleanUp:function(){this.streamInfo=this.generatedError=this.extraStreamInfo=null,this._listeners=[]},emit:function(l,d){if(this._listeners[l])for(var c=0;c<this._listeners[l].length;c++)this._listeners[l][c].call(this,d)},pipe:function(l){return l.registerPrevious(this)},registerPrevious:function(l){if(this.isLocked)throw new Error("The stream '"+this+"' has already been used.");this.streamInfo=l.streamInfo,this.mergeStreamInfo(),this.previous=l;var d=this;return l.on("data",function(c){d.processChunk(c)}),l.on("end",function(){d.end()}),l.on("error",function(c){d.error(c)}),this},pause:function(){return!this.isPaused&&!this.isFinished&&(this.isPaused=!0,this.previous&&this.previous.pause(),!0)},resume:function(){if(!this.isPaused||this.isFinished)return!1;var l=this.isPaused=!1;return this.generatedError&&(this.error(this.generatedError),l=!0),this.previous&&this.previous.resume(),!l},flush:function(){},processChunk:function(l){this.push(l)},withStreamInfo:function(l,d){return this.extraStreamInfo[l]=d,this.mergeStreamInfo(),this},mergeStreamInfo:function(){for(var l in this.extraStreamInfo)Object.prototype.hasOwnProperty.call(this.extraStreamInfo,l)&&(this.streamInfo[l]=this.extraStreamInfo[l])},lock:function(){if(this.isLocked)throw new Error("The stream '"+this+"' has already been used.");this.isLocked=!0,this.previous&&this.previous.lock()},toString:function(){var l="Worker "+this.name;return this.previous?this.previous+" -> "+l:l}},i.exports=a},{}],29:[function(n,i,o){var a=n("../utils"),l=n("./ConvertWorker"),d=n("./GenericWorker"),c=n("../base64"),p=n("../support"),v=n("../external"),_=null;if(p.nodestream)try{_=n("../nodejs/NodejsStreamOutputAdapter")}catch{}function T(I,C){return new v.Promise(function(E,x){var k=[],A=I._internalType,N=I._outputType,R=I._mimeType;I.on("data",function(B,W){k.push(B),C&&C(W)}).on("error",function(B){k=[],x(B)}).on("end",function(){try{var B=function(W,j,ae){switch(W){case"blob":return a.newBlob(a.transformTo("arraybuffer",j),ae);case"base64":return c.encode(j);default:return a.transformTo(W,j)}}(N,function(W,j){var ae,ve=0,Ne=null,oe=0;for(ae=0;ae<j.length;ae++)oe+=j[ae].length;switch(W){case"string":return j.join("");case"array":return Array.prototype.concat.apply([],j);case"uint8array":for(Ne=new Uint8Array(oe),ae=0;ae<j.length;ae++)Ne.set(j[ae],ve),ve+=j[ae].length;return Ne;case"nodebuffer":return Buffer.concat(j);default:throw new Error("concat : unsupported type '"+W+"'")}}(A,k),R);E(B)}catch(W){x(W)}k=[]}).resume()})}function M(I,C,E){var x=C;switch(C){case"blob":case"arraybuffer":x="uint8array";break;case"base64":x="string"}try{this._internalType=x,this._outputType=C,this._mimeType=E,a.checkSupport(x),this._worker=I.pipe(new l(x)),I.lock()}catch(k){this._worker=new d("error"),this._worker.error(k)}}M.prototype={accumulate:function(I){return T(this,I)},on:function(I,C){var E=this;return I==="data"?this._worker.on(I,function(x){C.call(E,x.data,x.meta)}):this._worker.on(I,function(){a.delay(C,arguments,E)}),this},resume:function(){return a.delay(this._worker.resume,[],this._worker),this},pause:function(){return this._worker.pause(),this},toNodejsStream:function(I){if(a.checkSupport("nodestream"),this._outputType!=="nodebuffer")throw new Error(this._outputType+" is not supported by this method");return new _(this,{objectMode:this._outputType!=="nodebuffer"},I)}},i.exports=M},{"../base64":1,"../external":6,"../nodejs/NodejsStreamOutputAdapter":13,"../support":30,"../utils":32,"./ConvertWorker":24,"./GenericWorker":28}],30:[function(n,i,o){if(o.base64=!0,o.array=!0,o.string=!0,o.arraybuffer=typeof ArrayBuffer<"u"&&typeof Uint8Array<"u",o.nodebuffer=typeof Buffer<"u",o.uint8array=typeof Uint8Array<"u",typeof ArrayBuffer>"u")o.blob=!1;else{var a=new ArrayBuffer(0);try{o.blob=new Blob([a],{type:"application/zip"}).size===0}catch{try{var l=new(self.BlobBuilder||self.WebKitBlobBuilder||self.MozBlobBuilder||self.MSBlobBuilder);l.append(a),o.blob=l.getBlob("application/zip").size===0}catch{o.blob=!1}}}try{o.nodestream=!!n("readable-stream").Readable}catch{o.nodestream=!1}},{"readable-stream":16}],31:[function(n,i,o){for(var a=n("./utils"),l=n("./support"),d=n("./nodejsUtils"),c=n("./stream/GenericWorker"),p=new Array(256),v=0;v<256;v++)p[v]=252<=v?6:248<=v?5:240<=v?4:224<=v?3:192<=v?2:1;p[254]=p[254]=1;function _(){c.call(this,"utf-8 decode"),this.leftOver=null}function T(){c.call(this,"utf-8 encode")}o.utf8encode=function(M){return l.nodebuffer?d.newBufferFrom(M,"utf-8"):function(I){var C,E,x,k,A,N=I.length,R=0;for(k=0;k<N;k++)(64512&(E=I.charCodeAt(k)))==55296&&k+1<N&&(64512&(x=I.charCodeAt(k+1)))==56320&&(E=65536+(E-55296<<10)+(x-56320),k++),R+=E<128?1:E<2048?2:E<65536?3:4;for(C=l.uint8array?new Uint8Array(R):new Array(R),k=A=0;A<R;k++)(64512&(E=I.charCodeAt(k)))==55296&&k+1<N&&(64512&(x=I.charCodeAt(k+1)))==56320&&(E=65536+(E-55296<<10)+(x-56320),k++),E<128?C[A++]=E:(E<2048?C[A++]=192|E>>>6:(E<65536?C[A++]=224|E>>>12:(C[A++]=240|E>>>18,C[A++]=128|E>>>12&63),C[A++]=128|E>>>6&63),C[A++]=128|63&E);return C}(M)},o.utf8decode=function(M){return l.nodebuffer?a.transformTo("nodebuffer",M).toString("utf-8"):function(I){var C,E,x,k,A=I.length,N=new Array(2*A);for(C=E=0;C<A;)if((x=I[C++])<128)N[E++]=x;else if(4<(k=p[x]))N[E++]=65533,C+=k-1;else{for(x&=k===2?31:k===3?15:7;1<k&&C<A;)x=x<<6|63&I[C++],k--;1<k?N[E++]=65533:x<65536?N[E++]=x:(x-=65536,N[E++]=55296|x>>10&1023,N[E++]=56320|1023&x)}return N.length!==E&&(N.subarray?N=N.subarray(0,E):N.length=E),a.applyFromCharCode(N)}(M=a.transformTo(l.uint8array?"uint8array":"array",M))},a.inherits(_,c),_.prototype.processChunk=function(M){var I=a.transformTo(l.uint8array?"uint8array":"array",M.data);if(this.leftOver&&this.leftOver.length){if(l.uint8array){var C=I;(I=new Uint8Array(C.length+this.leftOver.length)).set(this.leftOver,0),I.set(C,this.leftOver.length)}else I=this.leftOver.concat(I);this.leftOver=null}var E=function(k,A){var N;for((A=A||k.length)>k.length&&(A=k.length),N=A-1;0<=N&&(192&k[N])==128;)N--;return N<0||N===0?A:N+p[k[N]]>A?N:A}(I),x=I;E!==I.length&&(l.uint8array?(x=I.subarray(0,E),this.leftOver=I.subarray(E,I.length)):(x=I.slice(0,E),this.leftOver=I.slice(E,I.length))),this.push({data:o.utf8decode(x),meta:M.meta})},_.prototype.flush=function(){this.leftOver&&this.leftOver.length&&(this.push({data:o.utf8decode(this.leftOver),meta:{}}),this.leftOver=null)},o.Utf8DecodeWorker=_,a.inherits(T,c),T.prototype.processChunk=function(M){this.push({data:o.utf8encode(M.data),meta:M.meta})},o.Utf8EncodeWorker=T},{"./nodejsUtils":14,"./stream/GenericWorker":28,"./support":30,"./utils":32}],32:[function(n,i,o){var a=n("./support"),l=n("./base64"),d=n("./nodejsUtils"),c=n("./external");function p(C){return C}function v(C,E){for(var x=0;x<C.length;++x)E[x]=255&C.charCodeAt(x);return E}n("setimmediate"),o.newBlob=function(C,E){o.checkSupport("blob");try{return new Blob([C],{type:E})}catch{try{var x=new(self.BlobBuilder||self.WebKitBlobBuilder||self.MozBlobBuilder||self.MSBlobBuilder);return x.append(C),x.getBlob(E)}catch{throw new Error("Bug : can't construct the Blob.")}}};var _={stringifyByChunk:function(C,E,x){var k=[],A=0,N=C.length;if(N<=x)return String.fromCharCode.apply(null,C);for(;A<N;)E==="array"||E==="nodebuffer"?k.push(String.fromCharCode.apply(null,C.slice(A,Math.min(A+x,N)))):k.push(String.fromCharCode.apply(null,C.subarray(A,Math.min(A+x,N)))),A+=x;return k.join("")},stringifyByChar:function(C){for(var E="",x=0;x<C.length;x++)E+=String.fromCharCode(C[x]);return E},applyCanBeUsed:{uint8array:function(){try{return a.uint8array&&String.fromCharCode.apply(null,new Uint8Array(1)).length===1}catch{return!1}}(),nodebuffer:function(){try{return a.nodebuffer&&String.fromCharCode.apply(null,d.allocBuffer(1)).length===1}catch{return!1}}()}};function T(C){var E=65536,x=o.getTypeOf(C),k=!0;if(x==="uint8array"?k=_.applyCanBeUsed.uint8array:x==="nodebuffer"&&(k=_.applyCanBeUsed.nodebuffer),k)for(;1<E;)try{return _.stringifyByChunk(C,x,E)}catch{E=Math.floor(E/2)}return _.stringifyByChar(C)}function M(C,E){for(var x=0;x<C.length;x++)E[x]=C[x];return E}o.applyFromCharCode=T;var I={};I.string={string:p,array:function(C){return v(C,new Array(C.length))},arraybuffer:function(C){return I.string.uint8array(C).buffer},uint8array:function(C){return v(C,new Uint8Array(C.length))},nodebuffer:function(C){return v(C,d.allocBuffer(C.length))}},I.array={string:T,array:p,arraybuffer:function(C){return new Uint8Array(C).buffer},uint8array:function(C){return new Uint8Array(C)},nodebuffer:function(C){return d.newBufferFrom(C)}},I.arraybuffer={string:function(C){return T(new Uint8Array(C))},array:function(C){return M(new Uint8Array(C),new Array(C.byteLength))},arraybuffer:p,uint8array:function(C){return new Uint8Array(C)},nodebuffer:function(C){return d.newBufferFrom(new Uint8Array(C))}},I.uint8array={string:T,array:function(C){return M(C,new Array(C.length))},arraybuffer:function(C){return C.buffer},uint8array:p,nodebuffer:function(C){return d.newBufferFrom(C)}},I.nodebuffer={string:T,array:function(C){return M(C,new Array(C.length))},arraybuffer:function(C){return I.nodebuffer.uint8array(C).buffer},uint8array:function(C){return M(C,new Uint8Array(C.length))},nodebuffer:p},o.transformTo=function(C,E){if(E=E||"",!C)return E;o.checkSupport(C);var x=o.getTypeOf(E);return I[x][C](E)},o.resolve=function(C){for(var E=C.split("/"),x=[],k=0;k<E.length;k++){var A=E[k];A==="."||A===""&&k!==0&&k!==E.length-1||(A===".."?x.pop():x.push(A))}return x.join("/")},o.getTypeOf=function(C){return typeof C=="string"?"string":Object.prototype.toString.call(C)==="[object Array]"?"array":a.nodebuffer&&d.isBuffer(C)?"nodebuffer":a.uint8array&&C instanceof Uint8Array?"uint8array":a.arraybuffer&&C instanceof ArrayBuffer?"arraybuffer":void 0},o.checkSupport=function(C){if(!a[C.toLowerCase()])throw new Error(C+" is not supported by this platform")},o.MAX_VALUE_16BITS=65535,o.MAX_VALUE_32BITS=-1,o.pretty=function(C){var E,x,k="";for(x=0;x<(C||"").length;x++)k+="\\x"+((E=C.charCodeAt(x))<16?"0":"")+E.toString(16).toUpperCase();return k},o.delay=function(C,E,x){setImmediate(function(){C.apply(x||null,E||[])})},o.inherits=function(C,E){function x(){}x.prototype=E.prototype,C.prototype=new x},o.extend=function(){var C,E,x={};for(C=0;C<arguments.length;C++)for(E in arguments[C])Object.prototype.hasOwnProperty.call(arguments[C],E)&&x[E]===void 0&&(x[E]=arguments[C][E]);return x},o.prepareContent=function(C,E,x,k,A){return c.Promise.resolve(E).then(function(N){return a.blob&&(N instanceof Blob||["[object File]","[object Blob]"].indexOf(Object.prototype.toString.call(N))!==-1)&&typeof FileReader<"u"?new c.Promise(function(R,B){var W=new FileReader;W.onload=function(j){R(j.target.result)},W.onerror=function(j){B(j.target.error)},W.readAsArrayBuffer(N)}):N}).then(function(N){var R=o.getTypeOf(N);return R?(R==="arraybuffer"?N=o.transformTo("uint8array",N):R==="string"&&(A?N=l.decode(N):x&&k!==!0&&(N=function(B){return v(B,a.uint8array?new Uint8Array(B.length):new Array(B.length))}(N))),N):c.Promise.reject(new Error("Can't read the data of '"+C+"'. Is it in a supported JavaScript type (String, Blob, ArrayBuffer, etc) ?"))})}},{"./base64":1,"./external":6,"./nodejsUtils":14,"./support":30,setimmediate:54}],33:[function(n,i,o){var a=n("./reader/readerFor"),l=n("./utils"),d=n("./signature"),c=n("./zipEntry"),p=n("./support");function v(_){this.files=[],this.loadOptions=_}v.prototype={checkSignature:function(_){if(!this.reader.readAndCheckSignature(_)){this.reader.index-=4;var T=this.reader.readString(4);throw new Error("Corrupted zip or bug: unexpected signature ("+l.pretty(T)+", expected "+l.pretty(_)+")")}},isSignature:function(_,T){var M=this.reader.index;this.reader.setIndex(_);var I=this.reader.readString(4)===T;return this.reader.setIndex(M),I},readBlockEndOfCentral:function(){this.diskNumber=this.reader.readInt(2),this.diskWithCentralDirStart=this.reader.readInt(2),this.centralDirRecordsOnThisDisk=this.reader.readInt(2),this.centralDirRecords=this.reader.readInt(2),this.centralDirSize=this.reader.readInt(4),this.centralDirOffset=this.reader.readInt(4),this.zipCommentLength=this.reader.readInt(2);var _=this.reader.readData(this.zipCommentLength),T=p.uint8array?"uint8array":"array",M=l.transformTo(T,_);this.zipComment=this.loadOptions.decodeFileName(M)},readBlockZip64EndOfCentral:function(){this.zip64EndOfCentralSize=this.reader.readInt(8),this.reader.skip(4),this.diskNumber=this.reader.readInt(4),this.diskWithCentralDirStart=this.reader.readInt(4),this.centralDirRecordsOnThisDisk=this.reader.readInt(8),this.centralDirRecords=this.reader.readInt(8),this.centralDirSize=this.reader.readInt(8),this.centralDirOffset=this.reader.readInt(8),this.zip64ExtensibleData={};for(var _,T,M,I=this.zip64EndOfCentralSize-44;0<I;)_=this.reader.readInt(2),T=this.reader.readInt(4),M=this.reader.readData(T),this.zip64ExtensibleData[_]={id:_,length:T,value:M}},readBlockZip64EndOfCentralLocator:function(){if(this.diskWithZip64CentralDirStart=this.reader.readInt(4),this.relativeOffsetEndOfZip64CentralDir=this.reader.readInt(8),this.disksCount=this.reader.readInt(4),1<this.disksCount)throw new Error("Multi-volumes zip are not supported")},readLocalFiles:function(){var _,T;for(_=0;_<this.files.length;_++)T=this.files[_],this.reader.setIndex(T.localHeaderOffset),this.checkSignature(d.LOCAL_FILE_HEADER),T.readLocalPart(this.reader),T.handleUTF8(),T.processAttributes()},readCentralDir:function(){var _;for(this.reader.setIndex(this.centralDirOffset);this.reader.readAndCheckSignature(d.CENTRAL_FILE_HEADER);)(_=new c({zip64:this.zip64},this.loadOptions)).readCentralPart(this.reader),this.files.push(_);if(this.centralDirRecords!==this.files.length&&this.centralDirRecords!==0&&this.files.length===0)throw new Error("Corrupted zip or bug: expected "+this.centralDirRecords+" records in central dir, got "+this.files.length)},readEndOfCentral:function(){var _=this.reader.lastIndexOfSignature(d.CENTRAL_DIRECTORY_END);if(_<0)throw this.isSignature(0,d.LOCAL_FILE_HEADER)?new Error("Corrupted zip: can't find end of central directory"):new Error("Can't find end of central directory : is this a zip file ? If it is, see https://stuk.github.io/jszip/documentation/howto/read_zip.html");this.reader.setIndex(_);var T=_;if(this.checkSignature(d.CENTRAL_DIRECTORY_END),this.readBlockEndOfCentral(),this.diskNumber===l.MAX_VALUE_16BITS||this.diskWithCentralDirStart===l.MAX_VALUE_16BITS||this.centralDirRecordsOnThisDisk===l.MAX_VALUE_16BITS||this.centralDirRecords===l.MAX_VALUE_16BITS||this.centralDirSize===l.MAX_VALUE_32BITS||this.centralDirOffset===l.MAX_VALUE_32BITS){if(this.zip64=!0,(_=this.reader.lastIndexOfSignature(d.ZIP64_CENTRAL_DIRECTORY_LOCATOR))<0)throw new Error("Corrupted zip: can't find the ZIP64 end of central directory locator");if(this.reader.setIndex(_),this.checkSignature(d.ZIP64_CENTRAL_DIRECTORY_LOCATOR),this.readBlockZip64EndOfCentralLocator(),!this.isSignature(this.relativeOffsetEndOfZip64CentralDir,d.ZIP64_CENTRAL_DIRECTORY_END)&&(this.relativeOffsetEndOfZip64CentralDir=this.reader.lastIndexOfSignature(d.ZIP64_CENTRAL_DIRECTORY_END),this.relativeOffsetEndOfZip64CentralDir<0))throw new Error("Corrupted zip: can't find the ZIP64 end of central directory");this.reader.setIndex(this.relativeOffsetEndOfZip64CentralDir),this.checkSignature(d.ZIP64_CENTRAL_DIRECTORY_END),this.readBlockZip64EndOfCentral()}var M=this.centralDirOffset+this.centralDirSize;this.zip64&&(M+=20,M+=12+this.zip64EndOfCentralSize);var I=T-M;if(0<I)this.isSignature(T,d.CENTRAL_FILE_HEADER)||(this.reader.zero=I);else if(I<0)throw new Error("Corrupted zip: missing "+Math.abs(I)+" bytes.")},prepareReader:function(_){this.reader=a(_)},load:function(_){this.prepareReader(_),this.readEndOfCentral(),this.readCentralDir(),this.readLocalFiles()}},i.exports=v},{"./reader/readerFor":22,"./signature":23,"./support":30,"./utils":32,"./zipEntry":34}],34:[function(n,i,o){var a=n("./reader/readerFor"),l=n("./utils"),d=n("./compressedObject"),c=n("./crc32"),p=n("./utf8"),v=n("./compressions"),_=n("./support");function T(M,I){this.options=M,this.loadOptions=I}T.prototype={isEncrypted:function(){return(1&this.bitFlag)==1},useUTF8:function(){return(2048&this.bitFlag)==2048},readLocalPart:function(M){var I,C;if(M.skip(22),this.fileNameLength=M.readInt(2),C=M.readInt(2),this.fileName=M.readData(this.fileNameLength),M.skip(C),this.compressedSize===-1||this.uncompressedSize===-1)throw new Error("Bug or corrupted zip : didn't get enough information from the central directory (compressedSize === -1 || uncompressedSize === -1)");if((I=function(E){for(var x in v)if(Object.prototype.hasOwnProperty.call(v,x)&&v[x].magic===E)return v[x];return null}(this.compressionMethod))===null)throw new Error("Corrupted zip : compression "+l.pretty(this.compressionMethod)+" unknown (inner file : "+l.transformTo("string",this.fileName)+")");this.decompressed=new d(this.compressedSize,this.uncompressedSize,this.crc32,I,M.readData(this.compressedSize))},readCentralPart:function(M){this.versionMadeBy=M.readInt(2),M.skip(2),this.bitFlag=M.readInt(2),this.compressionMethod=M.readString(2),this.date=M.readDate(),this.crc32=M.readInt(4),this.compressedSize=M.readInt(4),this.uncompressedSize=M.readInt(4);var I=M.readInt(2);if(this.extraFieldsLength=M.readInt(2),this.fileCommentLength=M.readInt(2),this.diskNumberStart=M.readInt(2),this.internalFileAttributes=M.readInt(2),this.externalFileAttributes=M.readInt(4),this.localHeaderOffset=M.readInt(4),this.isEncrypted())throw new Error("Encrypted zip are not supported");M.skip(I),this.readExtraFields(M),this.parseZIP64ExtraField(M),this.fileComment=M.readData(this.fileCommentLength)},processAttributes:function(){this.unixPermissions=null,this.dosPermissions=null;var M=this.versionMadeBy>>8;this.dir=!!(16&this.externalFileAttributes),M==0&&(this.dosPermissions=63&this.externalFileAttributes),M==3&&(this.unixPermissions=this.externalFileAttributes>>16&65535),this.dir||this.fileNameStr.slice(-1)!=="/"||(this.dir=!0)},parseZIP64ExtraField:function(){if(this.extraFields[1]){var M=a(this.extraFields[1].value);this.uncompressedSize===l.MAX_VALUE_32BITS&&(this.uncompressedSize=M.readInt(8)),this.compressedSize===l.MAX_VALUE_32BITS&&(this.compressedSize=M.readInt(8)),this.localHeaderOffset===l.MAX_VALUE_32BITS&&(this.localHeaderOffset=M.readInt(8)),this.diskNumberStart===l.MAX_VALUE_32BITS&&(this.diskNumberStart=M.readInt(4))}},readExtraFields:function(M){var I,C,E,x=M.index+this.extraFieldsLength;for(this.extraFields||(this.extraFields={});M.index+4<x;)I=M.readInt(2),C=M.readInt(2),E=M.readData(C),this.extraFields[I]={id:I,length:C,value:E};M.setIndex(x)},handleUTF8:function(){var M=_.uint8array?"uint8array":"array";if(this.useUTF8())this.fileNameStr=p.utf8decode(this.fileName),this.fileCommentStr=p.utf8decode(this.fileComment);else{var I=this.findExtraFieldUnicodePath();if(I!==null)this.fileNameStr=I;else{var C=l.transformTo(M,this.fileName);this.fileNameStr=this.loadOptions.decodeFileName(C)}var E=this.findExtraFieldUnicodeComment();if(E!==null)this.fileCommentStr=E;else{var x=l.transformTo(M,this.fileComment);this.fileCommentStr=this.loadOptions.decodeFileName(x)}}},findExtraFieldUnicodePath:function(){var M=this.extraFields[28789];if(M){var I=a(M.value);return I.readInt(1)!==1||c(this.fileName)!==I.readInt(4)?null:p.utf8decode(I.readData(M.length-5))}return null},findExtraFieldUnicodeComment:function(){var M=this.extraFields[25461];if(M){var I=a(M.value);return I.readInt(1)!==1||c(this.fileComment)!==I.readInt(4)?null:p.utf8decode(I.readData(M.length-5))}return null}},i.exports=T},{"./compressedObject":2,"./compressions":3,"./crc32":4,"./reader/readerFor":22,"./support":30,"./utf8":31,"./utils":32}],35:[function(n,i,o){function a(I,C,E){this.name=I,this.dir=E.dir,this.date=E.date,this.comment=E.comment,this.unixPermissions=E.unixPermissions,this.dosPermissions=E.dosPermissions,this._data=C,this._dataBinary=E.binary,this.options={compression:E.compression,compressionOptions:E.compressionOptions}}var l=n("./stream/StreamHelper"),d=n("./stream/DataWorker"),c=n("./utf8"),p=n("./compressedObject"),v=n("./stream/GenericWorker");a.prototype={internalStream:function(I){var C=null,E="string";try{if(!I)throw new Error("No output type specified.");var x=(E=I.toLowerCase())==="string"||E==="text";E!=="binarystring"&&E!=="text"||(E="string"),C=this._decompressWorker();var k=!this._dataBinary;k&&!x&&(C=C.pipe(new c.Utf8EncodeWorker)),!k&&x&&(C=C.pipe(new c.Utf8DecodeWorker))}catch(A){(C=new v("error")).error(A)}return new l(C,E,"")},async:function(I,C){return this.internalStream(I).accumulate(C)},nodeStream:function(I,C){return this.internalStream(I||"nodebuffer").toNodejsStream(C)},_compressWorker:function(I,C){if(this._data instanceof p&&this._data.compression.magic===I.magic)return this._data.getCompressedWorker();var E=this._decompressWorker();return this._dataBinary||(E=E.pipe(new c.Utf8EncodeWorker)),p.createWorkerFrom(E,I,C)},_decompressWorker:function(){return this._data instanceof p?this._data.getContentWorker():this._data instanceof v?this._data:new d(this._data)}};for(var _=["asText","asBinary","asNodeBuffer","asUint8Array","asArrayBuffer"],T=function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade 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he.status=103;if(he.status===103&&(he.gzhead.hcrc?(he.pending+2>he.pending_buf_size&&ne(z),he.pending+2<=he.pending_buf_size&&(pt(he,255&z.adler),pt(he,z.adler>>8&255),z.adler=0,he.status=Se)):he.status=Se),he.pending!==0){if(ne(z),z.avail_out===0)return he.last_flush=-1,M}else if(z.avail_in===0&&fe(Fe)<=fe(Re)&&Fe!==T)return te(z,-5);if(he.status===666&&z.avail_in!==0)return te(z,-5);if(z.avail_in!==0||he.lookahead!==0||Fe!==_&&he.status!==666){var re=he.strategy===2?function(V,me){for(var ge;;){if(V.lookahead===0&&(ct(V),V.lookahead===0)){if(me===_)return G;break}if(V.match_length=0,ge=d._tr_tally(V,0,V.window[V.strstart]),V.lookahead--,V.strstart++,ge&&(xe(V,!1),V.strm.avail_out===0))return G}return V.insert=0,me===T?(xe(V,!0),V.strm.avail_out===0?gt:Me):V.last_lit&&(xe(V,!1),V.strm.avail_out===0)?G:Ce}(he,Fe):he.strategy===3?function(V,me){for(var ge,$e,Ze,Dt,Tt=V.window;;){if(V.lookahead<=ve){if(ct(V),V.lookahead<=ve&&me===_)return 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z.avail_out===0&&(he.last_flush=-1),M;if(re===Ce&&(Fe===1?d._tr_align(he):Fe!==5&&(d._tr_stored_block(he,0,0,!1),Fe===3&&(Ae(he.head),he.lookahead===0&&(he.strstart=0,he.block_start=0,he.insert=0))),ne(z),z.avail_out===0))return he.last_flush=-1,M}return Fe!==T?M:he.wrap<=0?1:(he.wrap===2?(pt(he,255&z.adler),pt(he,z.adler>>8&255),pt(he,z.adler>>16&255),pt(he,z.adler>>24&255),pt(he,255&z.total_in),pt(he,z.total_in>>8&255),pt(he,z.total_in>>16&255),pt(he,z.total_in>>24&255)):(Ye(he,z.adler>>>16),Ye(he,65535&z.adler)),ne(z),0<he.wrap&&(he.wrap=-he.wrap),he.pending!==0?M:1)},o.deflateEnd=function(z){var Fe;return z&&z.state?(Fe=z.state.status)!==oe&&Fe!==69&&Fe!==73&&Fe!==91&&Fe!==103&&Fe!==Se&&Fe!==666?te(z,I):(z.state=null,Fe===Se?te(z,-3):M):I},o.deflateSetDictionary=function(z,Fe){var Re,he,ue,Ee,q,re,V,me,ge=Fe.length;if(!z||!z.state||(Ee=(Re=z.state).wrap)===2||Ee===1&&Re.status!==oe||Re.lookahead)return I;for(Ee===1&&(z.adler=c(z.adler,Fe,ge,0)),Re.wrap=0,ge>=Re.w_size&&(Ee===0&&(Ae(Re.head),Re.strstart=0,Re.block_start=0,Re.insert=0),me=new l.Buf8(Re.w_size),l.arraySet(me,Fe,ge-Re.w_size,Re.w_size,0),Fe=me,ge=Re.w_size),q=z.avail_in,re=z.next_in,V=z.input,z.avail_in=ge,z.next_in=0,z.input=Fe,ct(Re);Re.lookahead>=ae;){for(he=Re.strstart,ue=Re.lookahead-(ae-1);Re.ins_h=(Re.ins_h<<Re.hash_shift^Re.window[he+ae-1])&Re.hash_mask,Re.prev[he&Re.w_mask]=Re.head[Re.ins_h],Re.head[Re.ins_h]=he,he++,--ue;);Re.strstart=he,Re.lookahead=ae-1,ct(Re)}return Re.strstart+=Re.lookahead,Re.block_start=Re.strstart,Re.insert=Re.lookahead,Re.lookahead=0,Re.match_length=Re.prev_length=ae-1,Re.match_available=0,z.next_in=re,z.input=V,z.avail_in=q,Re.wrap=Ee,M},o.deflateInfo="pako deflate (from Nodeca project)"},{"../utils/common":41,"./adler32":43,"./crc32":45,"./messages":51,"./trees":52}],47:[function(n,i,o){i.exports=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}},{}],48:[function(n,i,o){i.exports=function(a,l){var d,c,p,v,_,T,M,I,C,E,x,k,A,N,R,B,W,j,ae,ve,Ne,oe,Se,G,Ce;d=a.state,c=a.next_in,G=a.input,p=c+(a.avail_in-5),v=a.next_out,Ce=a.output,_=v-(l-a.avail_out),T=v+(a.avail_out-257),M=d.dmax,I=d.wsize,C=d.whave,E=d.wnext,x=d.window,k=d.hold,A=d.bits,N=d.lencode,R=d.distcode,B=(1<<d.lenbits)-1,W=(1<<d.distbits)-1;e:do{A<15&&(k+=G[c++]<<A,A+=8,k+=G[c++]<<A,A+=8),j=N[k&B];t:for(;;){if(k>>>=ae=j>>>24,A-=ae,(ae=j>>>16&255)===0)Ce[v++]=65535&j;else{if(!(16&ae)){if(!(64&ae)){j=N[(65535&j)+(k&(1<<ae)-1)];continue t}if(32&ae){d.mode=12;break e}a.msg="invalid literal/length code",d.mode=30;break e}ve=65535&j,(ae&=15)&&(A<ae&&(k+=G[c++]<<A,A+=8),ve+=k&(1<<ae)-1,k>>>=ae,A-=ae),A<15&&(k+=G[c++]<<A,A+=8,k+=G[c++]<<A,A+=8),j=R[k&W];n:for(;;){if(k>>>=ae=j>>>24,A-=ae,!(16&(ae=j>>>16&255))){if(!(64&ae)){j=R[(65535&j)+(k&(1<<ae)-1)];continue n}a.msg="invalid distance code",d.mode=30;break e}if(Ne=65535&j,A<(ae&=15)&&(k+=G[c++]<<A,(A+=8)<ae&&(k+=G[c++]<<A,A+=8)),M<(Ne+=k&(1<<ae)-1)){a.msg="invalid distance too far back",d.mode=30;break e}if(k>>>=ae,A-=ae,(ae=v-_)<Ne){if(C<(ae=Ne-ae)&&d.sane){a.msg="invalid distance too far back",d.mode=30;break e}if(Se=x,(oe=0)===E){if(oe+=I-ae,ae<ve){for(ve-=ae;Ce[v++]=x[oe++],--ae;);oe=v-Ne,Se=Ce}}else if(E<ae){if(oe+=I+E-ae,(ae-=E)<ve){for(ve-=ae;Ce[v++]=x[oe++],--ae;);if(oe=0,E<ve){for(ve-=ae=E;Ce[v++]=x[oe++],--ae;);oe=v-Ne,Se=Ce}}}else if(oe+=E-ae,ae<ve){for(ve-=ae;Ce[v++]=x[oe++],--ae;);oe=v-Ne,Se=Ce}for(;2<ve;)Ce[v++]=Se[oe++],Ce[v++]=Se[oe++],Ce[v++]=Se[oe++],ve-=3;ve&&(Ce[v++]=Se[oe++],1<ve&&(Ce[v++]=Se[oe++]))}else{for(oe=v-Ne;Ce[v++]=Ce[oe++],Ce[v++]=Ce[oe++],Ce[v++]=Ce[oe++],2<(ve-=3););ve&&(Ce[v++]=Ce[oe++],1<ve&&(Ce[v++]=Ce[oe++]))}break}}break}}while(c<p&&v<T);c-=ve=A>>3,k&=(1<<(A-=ve<<3))-1,a.next_in=c,a.next_out=v,a.avail_in=c<p?p-c+5:5-(c-p),a.avail_out=v<T?T-v+257:257-(v-T),d.hold=k,d.bits=A}},{}],49:[function(n,i,o){var a=n("../utils/common"),l=n("./adler32"),d=n("./crc32"),c=n("./inffast"),p=n("./inftrees"),v=1,_=2,T=0,M=-2,I=1,C=852,E=592;function x(oe){return(oe>>>24&255)+(oe>>>8&65280)+((65280&oe)<<8)+((255&oe)<<24)}function k(){this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new a.Buf16(320),this.work=new a.Buf16(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}function A(oe){var Se;return oe&&oe.state?(Se=oe.state,oe.total_in=oe.total_out=Se.total=0,oe.msg="",Se.wrap&&(oe.adler=1&Se.wrap),Se.mode=I,Se.last=0,Se.havedict=0,Se.dmax=32768,Se.head=null,Se.hold=0,Se.bits=0,Se.lencode=Se.lendyn=new a.Buf32(C),Se.distcode=Se.distdyn=new a.Buf32(E),Se.sane=1,Se.back=-1,T):M}function N(oe){var Se;return oe&&oe.state?((Se=oe.state).wsize=0,Se.whave=0,Se.wnext=0,A(oe)):M}function R(oe,Se){var G,Ce;return oe&&oe.state?(Ce=oe.state,Se<0?(G=0,Se=-Se):(G=1+(Se>>4),Se<48&&(Se&=15)),Se&&(Se<8||15<Se)?M:(Ce.window!==null&&Ce.wbits!==Se&&(Ce.window=null),Ce.wrap=G,Ce.wbits=Se,N(oe))):M}function B(oe,Se){var G,Ce;return oe?(Ce=new k,(oe.state=Ce).window=null,(G=R(oe,Se))!==T&&(oe.state=null),G):M}var W,j,ae=!0;function ve(oe){if(ae){var Se;for(W=new a.Buf32(512),j=new a.Buf32(32),Se=0;Se<144;)oe.lens[Se++]=8;for(;Se<256;)oe.lens[Se++]=9;for(;Se<280;)oe.lens[Se++]=7;for(;Se<288;)oe.lens[Se++]=8;for(p(v,oe.lens,0,288,W,0,oe.work,{bits:9}),Se=0;Se<32;)oe.lens[Se++]=5;p(_,oe.lens,0,32,j,0,oe.work,{bits:5}),ae=!1}oe.lencode=W,oe.lenbits=9,oe.distcode=j,oe.distbits=5}function Ne(oe,Se,G,Ce){var gt,Me=oe.state;return Me.window===null&&(Me.wsize=1<<Me.wbits,Me.wnext=0,Me.whave=0,Me.window=new a.Buf8(Me.wsize)),Ce>=Me.wsize?(a.arraySet(Me.window,Se,G-Me.wsize,Me.wsize,0),Me.wnext=0,Me.whave=Me.wsize):(Ce<(gt=Me.wsize-Me.wnext)&&(gt=Ce),a.arraySet(Me.window,Se,G-Ce,gt,Me.wnext),(Ce-=gt)?(a.arraySet(Me.window,Se,G-Ce,Ce,0),Me.wnext=Ce,Me.whave=Me.wsize):(Me.wnext+=gt,Me.wnext===Me.wsize&&(Me.wnext=0),Me.whave<Me.wsize&&(Me.whave+=gt))),0}o.inflateReset=N,o.inflateReset2=R,o.inflateResetKeep=A,o.inflateInit=function(oe){return B(oe,15)},o.inflateInit2=B,o.inflate=function(oe,Se){var G,Ce,gt,Me,te,fe,Ae,ne,xe,pt,Ye,et,ct,Et,Rt,je,Ie,rt,dt,xt,z,Fe,Re,he,ue=0,Ee=new a.Buf8(4),q=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];if(!oe||!oe.state||!oe.output||!oe.input&&oe.avail_in!==0)return M;(G=oe.state).mode===12&&(G.mode=13),te=oe.next_out,gt=oe.output,Ae=oe.avail_out,Me=oe.next_in,Ce=oe.input,fe=oe.avail_in,ne=G.hold,xe=G.bits,pt=fe,Ye=Ae,Fe=T;e:for(;;)switch(G.mode){case I:if(G.wrap===0){G.mode=13;break}for(;xe<16;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if(2&G.wrap&&ne===35615){Ee[G.check=0]=255&ne,Ee[1]=ne>>>8&255,G.check=d(G.check,Ee,2,0),xe=ne=0,G.mode=2;break}if(G.flags=0,G.head&&(G.head.done=!1),!(1&G.wrap)||(((255&ne)<<8)+(ne>>8))%31){oe.msg="incorrect header check",G.mode=30;break}if((15&ne)!=8){oe.msg="unknown compression method",G.mode=30;break}if(xe-=4,z=8+(15&(ne>>>=4)),G.wbits===0)G.wbits=z;else if(z>G.wbits){oe.msg="invalid window size",G.mode=30;break}G.dmax=1<<z,oe.adler=G.check=1,G.mode=512&ne?10:12,xe=ne=0;break;case 2:for(;xe<16;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if(G.flags=ne,(255&G.flags)!=8){oe.msg="unknown compression method",G.mode=30;break}if(57344&G.flags){oe.msg="unknown header flags set",G.mode=30;break}G.head&&(G.head.text=ne>>8&1),512&G.flags&&(Ee[0]=255&ne,Ee[1]=ne>>>8&255,G.check=d(G.check,Ee,2,0)),xe=ne=0,G.mode=3;case 3:for(;xe<32;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}G.head&&(G.head.time=ne),512&G.flags&&(Ee[0]=255&ne,Ee[1]=ne>>>8&255,Ee[2]=ne>>>16&255,Ee[3]=ne>>>24&255,G.check=d(G.check,Ee,4,0)),xe=ne=0,G.mode=4;case 4:for(;xe<16;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}G.head&&(G.head.xflags=255&ne,G.head.os=ne>>8),512&G.flags&&(Ee[0]=255&ne,Ee[1]=ne>>>8&255,G.check=d(G.check,Ee,2,0)),xe=ne=0,G.mode=5;case 5:if(1024&G.flags){for(;xe<16;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}G.length=ne,G.head&&(G.head.extra_len=ne),512&G.flags&&(Ee[0]=255&ne,Ee[1]=ne>>>8&255,G.check=d(G.check,Ee,2,0)),xe=ne=0}else G.head&&(G.head.extra=null);G.mode=6;case 6:if(1024&G.flags&&(fe<(et=G.length)&&(et=fe),et&&(G.head&&(z=G.head.extra_len-G.length,G.head.extra||(G.head.extra=new Array(G.head.extra_len)),a.arraySet(G.head.extra,Ce,Me,et,z)),512&G.flags&&(G.check=d(G.check,Ce,et,Me)),fe-=et,Me+=et,G.length-=et),G.length))break e;G.length=0,G.mode=7;case 7:if(2048&G.flags){if(fe===0)break e;for(et=0;z=Ce[Me+et++],G.head&&z&&G.length<65536&&(G.head.name+=String.fromCharCode(z)),z&&et<fe;);if(512&G.flags&&(G.check=d(G.check,Ce,et,Me)),fe-=et,Me+=et,z)break e}else G.head&&(G.head.name=null);G.length=0,G.mode=8;case 8:if(4096&G.flags){if(fe===0)break e;for(et=0;z=Ce[Me+et++],G.head&&z&&G.length<65536&&(G.head.comment+=String.fromCharCode(z)),z&&et<fe;);if(512&G.flags&&(G.check=d(G.check,Ce,et,Me)),fe-=et,Me+=et,z)break e}else G.head&&(G.head.comment=null);G.mode=9;case 9:if(512&G.flags){for(;xe<16;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if(ne!==(65535&G.check)){oe.msg="header crc mismatch",G.mode=30;break}xe=ne=0}G.head&&(G.head.hcrc=G.flags>>9&1,G.head.done=!0),oe.adler=G.check=0,G.mode=12;break;case 10:for(;xe<32;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}oe.adler=G.check=x(ne),xe=ne=0,G.mode=11;case 11:if(G.havedict===0)return oe.next_out=te,oe.avail_out=Ae,oe.next_in=Me,oe.avail_in=fe,G.hold=ne,G.bits=xe,2;oe.adler=G.check=1,G.mode=12;case 12:if(Se===5||Se===6)break e;case 13:if(G.last){ne>>>=7&xe,xe-=7&xe,G.mode=27;break}for(;xe<3;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}switch(G.last=1&ne,xe-=1,3&(ne>>>=1)){case 0:G.mode=14;break;case 1:if(ve(G),G.mode=20,Se!==6)break;ne>>>=2,xe-=2;break e;case 2:G.mode=17;break;case 3:oe.msg="invalid block type",G.mode=30}ne>>>=2,xe-=2;break;case 14:for(ne>>>=7&xe,xe-=7&xe;xe<32;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if((65535&ne)!=(ne>>>16^65535)){oe.msg="invalid stored block lengths",G.mode=30;break}if(G.length=65535&ne,xe=ne=0,G.mode=15,Se===6)break e;case 15:G.mode=16;case 16:if(et=G.length){if(fe<et&&(et=fe),Ae<et&&(et=Ae),et===0)break e;a.arraySet(gt,Ce,Me,et,te),fe-=et,Me+=et,Ae-=et,te+=et,G.length-=et;break}G.mode=12;break;case 17:for(;xe<14;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if(G.nlen=257+(31&ne),ne>>>=5,xe-=5,G.ndist=1+(31&ne),ne>>>=5,xe-=5,G.ncode=4+(15&ne),ne>>>=4,xe-=4,286<G.nlen||30<G.ndist){oe.msg="too many length or distance symbols",G.mode=30;break}G.have=0,G.mode=18;case 18:for(;G.have<G.ncode;){for(;xe<3;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}G.lens[q[G.have++]]=7&ne,ne>>>=3,xe-=3}for(;G.have<19;)G.lens[q[G.have++]]=0;if(G.lencode=G.lendyn,G.lenbits=7,Re={bits:G.lenbits},Fe=p(0,G.lens,0,19,G.lencode,0,G.work,Re),G.lenbits=Re.bits,Fe){oe.msg="invalid code lengths set",G.mode=30;break}G.have=0,G.mode=19;case 19:for(;G.have<G.nlen+G.ndist;){for(;je=(ue=G.lencode[ne&(1<<G.lenbits)-1])>>>16&255,Ie=65535&ue,!((Rt=ue>>>24)<=xe);){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if(Ie<16)ne>>>=Rt,xe-=Rt,G.lens[G.have++]=Ie;else{if(Ie===16){for(he=Rt+2;xe<he;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if(ne>>>=Rt,xe-=Rt,G.have===0){oe.msg="invalid bit length repeat",G.mode=30;break}z=G.lens[G.have-1],et=3+(3&ne),ne>>>=2,xe-=2}else if(Ie===17){for(he=Rt+3;xe<he;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}xe-=Rt,z=0,et=3+(7&(ne>>>=Rt)),ne>>>=3,xe-=3}else{for(he=Rt+7;xe<he;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}xe-=Rt,z=0,et=11+(127&(ne>>>=Rt)),ne>>>=7,xe-=7}if(G.have+et>G.nlen+G.ndist){oe.msg="invalid bit length repeat",G.mode=30;break}for(;et--;)G.lens[G.have++]=z}}if(G.mode===30)break;if(G.lens[256]===0){oe.msg="invalid code -- missing end-of-block",G.mode=30;break}if(G.lenbits=9,Re={bits:G.lenbits},Fe=p(v,G.lens,0,G.nlen,G.lencode,0,G.work,Re),G.lenbits=Re.bits,Fe){oe.msg="invalid literal/lengths set",G.mode=30;break}if(G.distbits=6,G.distcode=G.distdyn,Re={bits:G.distbits},Fe=p(_,G.lens,G.nlen,G.ndist,G.distcode,0,G.work,Re),G.distbits=Re.bits,Fe){oe.msg="invalid distances set",G.mode=30;break}if(G.mode=20,Se===6)break e;case 20:G.mode=21;case 21:if(6<=fe&&258<=Ae){oe.next_out=te,oe.avail_out=Ae,oe.next_in=Me,oe.avail_in=fe,G.hold=ne,G.bits=xe,c(oe,Ye),te=oe.next_out,gt=oe.output,Ae=oe.avail_out,Me=oe.next_in,Ce=oe.input,fe=oe.avail_in,ne=G.hold,xe=G.bits,G.mode===12&&(G.back=-1);break}for(G.back=0;je=(ue=G.lencode[ne&(1<<G.lenbits)-1])>>>16&255,Ie=65535&ue,!((Rt=ue>>>24)<=xe);){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if(je&&!(240&je)){for(rt=Rt,dt=je,xt=Ie;je=(ue=G.lencode[xt+((ne&(1<<rt+dt)-1)>>rt)])>>>16&255,Ie=65535&ue,!(rt+(Rt=ue>>>24)<=xe);){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}ne>>>=rt,xe-=rt,G.back+=rt}if(ne>>>=Rt,xe-=Rt,G.back+=Rt,G.length=Ie,je===0){G.mode=26;break}if(32&je){G.back=-1,G.mode=12;break}if(64&je){oe.msg="invalid literal/length code",G.mode=30;break}G.extra=15&je,G.mode=22;case 22:if(G.extra){for(he=G.extra;xe<he;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}G.length+=ne&(1<<G.extra)-1,ne>>>=G.extra,xe-=G.extra,G.back+=G.extra}G.was=G.length,G.mode=23;case 23:for(;je=(ue=G.distcode[ne&(1<<G.distbits)-1])>>>16&255,Ie=65535&ue,!((Rt=ue>>>24)<=xe);){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if(!(240&je)){for(rt=Rt,dt=je,xt=Ie;je=(ue=G.distcode[xt+((ne&(1<<rt+dt)-1)>>rt)])>>>16&255,Ie=65535&ue,!(rt+(Rt=ue>>>24)<=xe);){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}ne>>>=rt,xe-=rt,G.back+=rt}if(ne>>>=Rt,xe-=Rt,G.back+=Rt,64&je){oe.msg="invalid distance code",G.mode=30;break}G.offset=Ie,G.extra=15&je,G.mode=24;case 24:if(G.extra){for(he=G.extra;xe<he;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}G.offset+=ne&(1<<G.extra)-1,ne>>>=G.extra,xe-=G.extra,G.back+=G.extra}if(G.offset>G.dmax){oe.msg="invalid distance too far back",G.mode=30;break}G.mode=25;case 25:if(Ae===0)break e;if(et=Ye-Ae,G.offset>et){if((et=G.offset-et)>G.whave&&G.sane){oe.msg="invalid distance too far back",G.mode=30;break}ct=et>G.wnext?(et-=G.wnext,G.wsize-et):G.wnext-et,et>G.length&&(et=G.length),Et=G.window}else Et=gt,ct=te-G.offset,et=G.length;for(Ae<et&&(et=Ae),Ae-=et,G.length-=et;gt[te++]=Et[ct++],--et;);G.length===0&&(G.mode=21);break;case 26:if(Ae===0)break e;gt[te++]=G.length,Ae--,G.mode=21;break;case 27:if(G.wrap){for(;xe<32;){if(fe===0)break e;fe--,ne|=Ce[Me++]<<xe,xe+=8}if(Ye-=Ae,oe.total_out+=Ye,G.total+=Ye,Ye&&(oe.adler=G.check=G.flags?d(G.check,gt,Ye,te-Ye):l(G.check,gt,Ye,te-Ye)),Ye=Ae,(G.flags?ne:x(ne))!==G.check){oe.msg="incorrect data check",G.mode=30;break}xe=ne=0}G.mode=28;case 28:if(G.wrap&&G.flags){for(;xe<32;){if(fe===0)break e;fe--,ne+=Ce[Me++]<<xe,xe+=8}if(ne!==(4294967295&G.total)){oe.msg="incorrect length check",G.mode=30;break}xe=ne=0}G.mode=29;case 29:Fe=1;break e;case 30:Fe=-3;break e;case 31:return-4;case 32:default:return M}return oe.next_out=te,oe.avail_out=Ae,oe.next_in=Me,oe.avail_in=fe,G.hold=ne,G.bits=xe,(G.wsize||Ye!==oe.avail_out&&G.mode<30&&(G.mode<27||Se!==4))&&Ne(oe,oe.output,oe.next_out,Ye-oe.avail_out)?(G.mode=31,-4):(pt-=oe.avail_in,Ye-=oe.avail_out,oe.total_in+=pt,oe.total_out+=Ye,G.total+=Ye,G.wrap&&Ye&&(oe.adler=G.check=G.flags?d(G.check,gt,Ye,oe.next_out-Ye):l(G.check,gt,Ye,oe.next_out-Ye)),oe.data_type=G.bits+(G.last?64:0)+(G.mode===12?128:0)+(G.mode===20||G.mode===15?256:0),(pt==0&&Ye===0||Se===4)&&Fe===T&&(Fe=-5),Fe)},o.inflateEnd=function(oe){if(!oe||!oe.state)return M;var Se=oe.state;return Se.window&&(Se.window=null),oe.state=null,T},o.inflateGetHeader=function(oe,Se){var G;return oe&&oe.state&&2&(G=oe.state).wrap?((G.head=Se).done=!1,T):M},o.inflateSetDictionary=function(oe,Se){var G,Ce=Se.length;return oe&&oe.state?(G=oe.state).wrap!==0&&G.mode!==11?M:G.mode===11&&l(1,Se,Ce,0)!==G.check?-3:Ne(oe,Se,Ce,Ce)?(G.mode=31,-4):(G.havedict=1,T):M},o.inflateInfo="pako inflate (from Nodeca 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WS(e,t){let n=ew(e);return n!==L0&&(n=Fl),n.getAnimatableNone?n.getAnimatableNone(t):void 0}const pF=new Set(["auto","none","0"]);function mF(e,t,n){let i=0,o;for(;i<e.length&&!o;){const a=e[i];typeof a=="string"&&!pF.has(a)&&fp(a).values.length&&(o=e[i]),i++}if(o&&n)for(const a of t)e[a]=WS(n,o)}class GS extends Yv{constructor(t,n,i,o,a){super(t,n,i,o,a,!0)}readKeyframes(){const{unresolvedKeyframes:t,element:n,name:i}=this;if(!n||!n.current)return;super.readKeyframes();for(let c=0;c<t.length;c++){let p=t[c];if(typeof p=="string"&&(p=p.trim(),Xv(p))){const v=OS(p,n.current);v!==void 0&&(t[c]=v),c===t.length-1&&(this.finalKeyframe=p)}}if(this.resolveNoneKeyframes(),!Q3.has(i)||t.length!==2)return;const[o,a]=t,l=P2(o),d=P2(a);if(l!==d)if(S2(l)&&S2(d))for(let c=0;c<t.length;c++){const p=t[c];typeof p=="string"&&(t[c]=parseFloat(p))}else this.needsMeasurement=!0}resolveNoneKeyframes(){const{unresolvedKeyframes:t,name:n}=this,i=[];for(let 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v=p*l,_=v*e,T=v-n,M=B0(p,l),I=Math.exp(-_);return xy-T/M*I},a=p=>{const _=p*l*e,T=_*n+n,M=Math.pow(l,2)*Math.pow(p,2)*e,I=Math.exp(-_),C=B0(Math.pow(p,2),l);return(-o(p)+xy>0?-1:1)*((T-M)*I)/C}):(o=p=>{const v=Math.exp(-p*e),_=(p-n)*e+1;return-xy+v*_},a=p=>{const v=Math.exp(-p*e),_=(n-p)*(e*e);return v*_});const d=5/e,c=EF(o,a,d);if(e=Da(e),isNaN(c))return{stiffness:100,damping:10,duration:e};{const p=Math.pow(c,2)*i;return{stiffness:p,damping:l*2*Math.sqrt(i*p),duration:e}}}const SF=12;function EF(e,t,n){let i=n;for(let o=1;o<SF;o++)i=i-e(i)/t(i);return i}function B0(e,t){return e*Math.sqrt(1-t*t)}const CF=["duration","bounce"],PF=["stiffness","damping","mass"];function F2(e,t){return t.some(n=>e[n]!==void 0)}function AF(e){let t={velocity:0,stiffness:100,damping:10,mass:1,isResolvedFromDuration:!1,...e};if(!F2(e,PF)&&F2(e,CF)){const n=kF(e);t={...t,...n,mass:1},t.isResolvedFromDuration=!0}return t}function QS({keyframes:e,restDelta:t,restSpeed:n,...i}){const 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o=this.driver.now();this.holdTime!==null?this.startTime=o-this.holdTime:this.startTime?this.state==="finished"&&(this.startTime=o):this.startTime=i??this.calcStartTime(),this.state==="finished"&&this.updateFinishedPromise(),this.cancelTime=this.startTime,this.holdTime=null,this.state="running",this.driver.start()}pause(){var t;if(!this._resolved){this.pendingPlayState="paused";return}this.state="paused",this.holdTime=(t=this.currentTime)!==null&&t!==void 0?t:0}complete(){this.state!=="running"&&this.play(),this.pendingPlayState=this.state="finished",this.holdTime=null}finish(){this.teardown(),this.state="finished";const{onComplete:t}=this.options;t&&t()}cancel(){this.cancelTime!==null&&this.tick(this.cancelTime),this.teardown(),this.updateFinishedPromise()}teardown(){this.state="idle",this.stopDriver(),this.resolveFinishedPromise(),this.updateFinishedPromise(),this.startTime=this.cancelTime=null,this.resolver.cancel()}stopDriver(){this.driver&&(this.driver.stop(),this.driver=void 0)}sample(t){return this.startTime=0,this.tick(t,!0)}}const sE=new Set(["opacity","clipPath","filter","transform"]),oE=e=>Array.isArray(e)&&typeof e[0]=="number";function aE(e){return!!(!e||typeof e=="string"&&e in sw||oE(e)||Array.isArray(e)&&e.every(aE))}const $h=([e,t,n,i])=>`cubic-bezier(${e}, ${t}, ${n}, ${i})`,sw={linear:"linear",ease:"ease",easeIn:"ease-in",easeOut:"ease-out",easeInOut:"ease-in-out",circIn:$h([0,.65,.55,1]),circOut:$h([.55,0,1,.45]),backIn:$h([.31,.01,.66,-.59]),backOut:$h([.33,1.53,.69,.99])};function sO(e){return lE(e)||sw.easeOut}function lE(e){if(e)return oE(e)?$h(e):Array.isArray(e)?e.map(sO):sw[e]}function oO(e,t,n,{delay:i=0,duration:o=300,repeat:a=0,repeatType:l="loop",ease:d,times:c}={}){const p={[t]:n};c&&(p.offset=c);const v=lE(d);return Array.isArray(v)&&(p.easing=v),e.animate(p,{delay:i,duration:o,easing:Array.isArray(v)?"linear":v,fill:"both",iterations:a+1,direction:l==="reverse"?"alternate":"normal"})}const 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_=oO(c.owner.current,p,t,{...this.options,duration:o,times:a,ease:l});return _.startTime=v??this.calcStartTime(),this.pendingTimeline?(_.timeline=this.pendingTimeline,this.pendingTimeline=void 0):_.onfinish=()=>{const{onComplete:T}=this.options;c.set(Zg(t,this.options,n)),T&&T(),this.cancel(),this.resolveFinishedPromise()},{animation:_,duration:o,times:a,type:d,ease:l,keyframes:t}}get duration(){const{resolved:t}=this;if(!t)return 0;const{duration:n}=t;return za(n)}get time(){const{resolved:t}=this;if(!t)return 0;const{animation:n}=t;return za(n.currentTime||0)}set time(t){const{resolved:n}=this;if(!n)return;const{animation:i}=n;i.currentTime=Da(t)}get speed(){const{resolved:t}=this;if(!t)return 1;const{animation:n}=t;return n.playbackRate}set speed(t){const{resolved:n}=this;if(!n)return;const{animation:i}=n;i.playbackRate=t}get state(){const{resolved:t}=this;if(!t)return"idle";const{animation:n}=t;return n.playState}get startTime(){const{resolved:t}=this;if(!t)return null;const{animation:n}=t;return n.startTime}attachTimeline(t){if(!this._resolved)this.pendingTimeline=t;else{const{resolved:n}=this;if(!n)return us;const{animation:i}=n;i.timeline=t,i.onfinish=null}return us}play(){if(this.isStopped)return;const{resolved:t}=this;if(!t)return;const{animation:n}=t;n.playState==="finished"&&this.updateFinishedPromise(),n.play()}pause(){const{resolved:t}=this;if(!t)return;const{animation:n}=t;n.pause()}stop(){if(this.resolver.cancel(),this.isStopped=!0,this.state==="idle")return;this.resolveFinishedPromise(),this.updateFinishedPromise();const{resolved:t}=this;if(!t)return;const{animation:n,keyframes:i,duration:o,type:a,ease:l,times:d}=t;if(n.playState==="idle"||n.playState==="finished")return;if(this.time){const{motionValue:p,onUpdate:v,onComplete:_,element:T,...M}=this.options,I=new iw({...M,keyframes:i,duration:o,type:a,ease:l,times:d,isGenerator:!0}),C=Da(this.time);p.setWithVelocity(I.sample(C-Ag).value,I.sample(C).value,Ag)}const{onStop:c}=this.options;c&&c(),this.cancel()}complete(){const{resolved:t}=this;t&&t.animation.finish()}cancel(){const{resolved:t}=this;t&&t.animation.cancel()}static supports(t){const{motionValue:n,name:i,repeatDelay:o,repeatType:a,damping:l,type:d}=t;return aO()&&i&&sE.has(i)&&n&&n.owner&&n.owner.current instanceof HTMLElement&&!n.owner.getProps().onUpdate&&!o&&a!=="mirror"&&l!==0&&d!=="inertia"}}function dO(e,t){let n;const i=()=>{const{currentTime:o}=t,l=(o===null?0:o.value)/100;n!==l&&e(l),n=l};return Dr.update(i,!0),()=>Wa(i)}const fO=qS(()=>window.ScrollTimeline!==void 0);class hO{constructor(t){this.stop=()=>this.runAll("stop"),this.animations=t.filter(Boolean)}then(t,n){return Promise.all(this.animations).then(t).catch(n)}getAll(t){return this.animations[0][t]}setAll(t,n){for(let i=0;i<this.animations.length;i++)this.animations[i][t]=n}attachTimeline(t){const n=this.animations.map(i=>{if(fO()&&i.attachTimeline)i.attachTimeline(t);else return i.pause(),dO(o=>{i.time=i.duration*o},t)});return()=>{n.forEach((i,o)=>{i&&i(),this.animations[o].stop()})}}get time(){return this.getAll("time")}set time(t){this.setAll("time",t)}get speed(){return this.getAll("speed")}set speed(t){this.setAll("speed",t)}get startTime(){return this.getAll("startTime")}get duration(){let t=0;for(let n=0;n<this.animations.length;n++)t=Math.max(t,this.animations[n].duration);return t}runAll(t){this.animations.forEach(n=>n[t]())}play(){this.runAll("play")}pause(){this.runAll("pause")}cancel(){this.runAll("cancel")}complete(){this.runAll("complete")}}const ow=(e,t,n,i={},o,a,l)=>d=>{const c=Kv(i,e)||{},p=c.delay||i.delay||0;let{elapsed:v=0}=i;v=v-Da(p);let _={keyframes:Array.isArray(n)?n:[null,n],ease:"easeOut",velocity:t.getVelocity(),...c,delay:-v,onUpdate:M=>{t.set(M),c.onUpdate&&c.onUpdate(M)},onComplete:()=>{d(),c.onComplete&&c.onComplete(),l&&l()},onStop:l,name:e,motionValue:t,element:a?void 0:o};D3(c)||(_={..._,...O3(e,_)}),_.duration&&(_.duration=Da(_.duration)),_.repeatDelay&&(_.repeatDelay=Da(_.repeatDelay)),_.from!==void 0&&(_.keyframes[0]=_.from);let T=!1;if((_.type===!1||_.duration===0&&!_.repeatDelay)&&(_.duration=0,_.delay===0&&(T=!0)),T&&!a&&t.get()!==void 0){const M=Zg(_.keyframes,c);if(M!==void 0)return Dr.update(()=>{_.onUpdate(M),_.onComplete()}),new hO([])}return!a&&N2.supports(_)?new N2(_):new iw(_)},pO=e=>!!(e&&typeof e=="object"&&e.mix&&e.toValue),mO=e=>F0(e)?e[e.length-1]||0:e;function Jg(e,t){e.indexOf(t)===-1&&e.push(t)}function e_(e,t){const n=e.indexOf(t);n>-1&&e.splice(n,1)}class aw{constructor(){this.subscriptions=[]}add(t){return Jg(this.subscriptions,t),()=>e_(this.subscriptions,t)}notify(t,n,i){const o=this.subscriptions.length;if(o)if(o===1)this.subscriptions[0](t,n,i);else for(let a=0;a<o;a++){const l=this.subscriptions[a];l&&l(t,n,i)}}getSize(){return this.subscriptions.length}clear(){this.subscriptions.length=0}}const j2=30,gO=e=>!isNaN(parseFloat(e));class uE{constructor(t,n={}){this.version="11.5.4",this.canTrackVelocity=null,this.events={},this.updateAndNotify=(i,o=!0)=>{const a=Ra.now();this.updatedAt!==a&&this.setPrevFrameValue(),this.prev=this.current,this.setCurrent(i),this.current!==this.prev&&this.events.change&&this.events.change.notify(this.current),o&&this.events.renderRequest&&this.events.renderRequest.notify(this.current)},this.hasAnimated=!1,this.setCurrent(t),this.owner=n.owner}setCurrent(t){this.current=t,this.updatedAt=Ra.now(),this.canTrackVelocity===null&&t!==void 0&&(this.canTrackVelocity=gO(this.current))}setPrevFrameValue(t=this.current){this.prevFrameValue=t,this.prevUpdatedAt=this.updatedAt}onChange(t){return this.on("change",t)}on(t,n){this.events[t]||(this.events[t]=new aw);const i=this.events[t].add(n);return t==="change"?()=>{i(),Dr.read(()=>{this.events.change.getSize()||this.stop()})}:i}clearListeners(){for(const t in this.events)this.events[t].clear()}attach(t,n){this.passiveEffect=t,this.stopPassiveEffect=n}set(t,n=!0){!n||!this.passiveEffect?this.updateAndNotify(t,n):this.passiveEffect(t,this.updateAndNotify)}setWithVelocity(t,n,i){this.set(n),this.prev=void 0,this.prevFrameValue=t,this.prevUpdatedAt=this.updatedAt-i}jump(t,n=!0){this.updateAndNotify(t),this.prev=t,this.prevUpdatedAt=this.prevFrameValue=void 0,n&&this.stop(),this.stopPassiveEffect&&this.stopPassiveEffect()}get(){return this.current}getPrevious(){return this.prev}getVelocity(){const t=Ra.now();if(!this.canTrackVelocity||this.prevFrameValue===void 0||t-this.updatedAt>j2)return 0;const n=Math.min(this.updatedAt-this.prevUpdatedAt,j2);return KS(parseFloat(this.current)-parseFloat(this.prevFrameValue),n)}start(t){return this.stop(),new Promise(n=>{this.hasAnimated=!0,this.animation=t(n),this.events.animationStart&&this.events.animationStart.notify()}).then(()=>{this.events.animationComplete&&this.events.animationComplete.notify(),this.clearAnimation()})}stop(){this.animation&&(this.animation.stop(),this.events.animationCancel&&this.events.animationCancel.notify()),this.clearAnimation()}isAnimating(){return!!this.animation}clearAnimation(){delete this.animation}destroy(){this.clearListeners(),this.stop(),this.stopPassiveEffect&&this.stopPassiveEffect()}}function pp(e,t){return new uE(e,t)}function _O(e,t,n){e.hasValue(t)?e.getValue(t).set(n):e.addValue(t,pp(n))}function yO(e,t){const n=Yg(e,t);let{transitionEnd:i={},transition:o={},...a}=n||{};a={...a,...i};for(const l in a){const d=mO(a[l]);_O(e,l,d)}}const t_=e=>e.replace(/([a-z])([A-Z])/gu,"$1-$2").toLowerCase(),vO="framerAppearId",cE="data-"+t_(vO);function dE(e){return e.props[cE]}function fE(e){if(Rl.has(e))return"transform";if(sE.has(e))return 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nD{constructor(t){this.openGlobalLock=null,this.isDragging=!1,this.currentDirection=null,this.originPoint={x:0,y:0},this.constraints=!1,this.hasMutatedConstraints=!1,this.elastic=pi(),this.visualElement=t}start(t,{snapToCursor:n=!1}={}){const{presenceContext:i}=this.visualElement;if(i&&i.isPresent===!1)return;const o=v=>{const{dragSnapToOrigin:_}=this.getProps();_?this.pauseAnimation():this.stopAnimation(),n&&this.snapToCursor(n_(v,"page").point)},a=(v,_)=>{var T;const{drag:M,dragPropagation:I,onDragStart:C}=this.getProps();if(M&&!I&&(this.openGlobalLock&&this.openGlobalLock(),this.openGlobalLock=yE(M),!this.openGlobalLock))return;this.isDragging=!0,this.currentDirection=null,this.resolveConstraints(),this.visualElement.projection&&(this.visualElement.projection.isAnimationBlocked=!0,this.visualElement.projection.target=void 0),io(x=>{let k=this.getAxisMotionValue(x).get()||0;if(aa.test(k)){const{projection:A}=this.visualElement;if(A&&A.layout){const 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mE(t,{onSessionStart:o,onStart:a,onMove:l,onSessionEnd:d,resumeAnimation:c},{transformPagePoint:this.visualElement.getTransformPagePoint(),dragSnapToOrigin:p,contextWindow:SE(this.visualElement)})}stop(t,n){var i;(i=this.removeWillChange)===null||i===void 0||i.call(this);const o=this.isDragging;if(this.cancel(),!o)return;const{velocity:a}=n;this.startAnimation(a);const{onDragEnd:l}=this.getProps();l&&Dr.postRender(()=>l(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:i}=this.getProps();!i&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,i){const{drag:o}=this.getProps();if(!i||!Dm(t,o,this.currentDirection))return;const a=this.getAxisMotionValue(t);let l=this.originPoint[t]+i[t];this.constraints&&this.constraints[t]&&(l=GO(l,this.constraints[t],this.elastic[t])),a.set(l)}resolveConstraints(){var t;const{dragConstraints:n,dragElastic:i}=this.getProps(),o=this.visualElement.projection&&!this.visualElement.projection.layout?this.visualElement.projection.measure(!1):(t=this.visualElement.projection)===null||t===void 0?void 0:t.layout,a=this.constraints;n&&qc(n)?this.constraints||(this.constraints=this.resolveRefConstraints()):n&&o?this.constraints=qO(o.layoutBox,n):this.constraints=!1,this.elastic=QO(i),a!==this.constraints&&o&&this.constraints&&!this.hasMutatedConstraints&&io(l=>{this.constraints!==!1&&this.getAxisMotionValue(l)&&(this.constraints[l]=XO(o.layoutBox[l],this.constraints[l]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!qc(t))return!1;const i=t.current,{projection:o}=this.visualElement;if(!o||!o.layout)return!1;const 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n;return(n=this.getAxisMotionValue(t).animation)===null||n===void 0?void 0:n.state}getAxisMotionValue(t){const n=`_drag${t.toUpperCase()}`,i=this.visualElement.getProps(),o=i[n];return o||this.visualElement.getValue(t,(i.initial?i.initial[t]:void 0)||0)}snapToCursor(t){io(n=>{const{drag:i}=this.getProps();if(!Dm(n,i,this.currentDirection))return;const{projection:o}=this.visualElement,a=this.getAxisMotionValue(n);if(o&&o.layout){const{min:l,max:d}=o.layout.layoutBox[n];a.set(t[n]-ei(l,d,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:i}=this.visualElement;if(!qc(n)||!i||!this.constraints)return;this.stopAnimation();const o={x:0,y:0};io(l=>{const d=this.getAxisMotionValue(l);if(d&&this.constraints!==!1){const 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0&&(e=$g(e,1/o,i)),e}function mD(e,t=0,n=1,i=.5,o,a=e,l=e){if(aa.test(t)&&(t=parseFloat(t),t=ei(l.min,l.max,t/100)-l.min),typeof t!="number")return;let d=ei(a.min,a.max,i);e===a&&(d-=t),e.min=pT(e.min,t,n,d,o),e.max=pT(e.max,t,n,d,o)}function mT(e,t,[n,i,o],a,l){mD(e,t[n],t[i],t[o],t.scale,a,l)}const gD=["x","scaleX","originX"],_D=["y","scaleY","originY"];function gT(e,t,n,i){mT(e.x,t,gD,n?n.x:void 0,i?i.x:void 0),mT(e.y,t,_D,n?n.y:void 0,i?i.y:void 0)}function _T(e){return e.translate===0&&e.scale===1}function IE(e){return _T(e.x)&&_T(e.y)}function yT(e,t){return e.min===t.min&&e.max===t.max}function yD(e,t){return yT(e.x,t.x)&&yT(e.y,t.y)}function vT(e,t){return Math.round(e.min)===Math.round(t.min)&&Math.round(e.max)===Math.round(t.max)}function FE(e,t){return vT(e.x,t.x)&&vT(e.y,t.y)}function wT(e){return qs(e.x)/qs(e.y)}function bT(e,t){return e.translate===t.translate&&e.scale===t.scale&&e.originPoint===t.originPoint}class vD{constructor(){this.members=[]}add(t){Jg(this.members,t),t.scheduleRender()}remove(t){if(e_(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(o=>t===o);if(n===0)return!1;let i;for(let o=n;o>=0;o--){const a=this.members[o];if(a.isPresent!==!1){i=a;break}}return i?(this.promote(i),!0):!1}promote(t,n){const i=this.lead;if(t!==i&&(this.prevLead=i,this.lead=t,t.show(),i)){i.instance&&i.scheduleRender(),t.scheduleRender(),t.resumeFrom=i,n&&(t.resumeFrom.preserveOpacity=!0),i.snapshot&&(t.snapshot=i.snapshot,t.snapshot.latestValues=i.animationValues||i.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:o}=t.options;o===!1&&i.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:i}=t;n.onExitComplete&&n.onExitComplete(),i&&i.options.onExitComplete&&i.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function wD(e,t,n){let i="";const o=e.x.translate/t.x,a=e.y.translate/t.y,l=(n==null?void 0:n.z)||0;if((o||a||l)&&(i=`translate3d(${o}px, ${a}px, ${l}px) `),(t.x!==1||t.y!==1)&&(i+=`scale(${1/t.x}, ${1/t.y}) 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du={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0},Ih=typeof window<"u"&&window.MotionDebug!==void 0,Cy=["","X","Y","Z"],SD={visibility:"hidden"},xT=1e3;let ED=0;function Py(e,t,n,i){const{latestValues:o}=t;o[e]&&(n[e]=o[e],t.setStaticValue(e,0),i&&(i[e]=0))}function OE(e){if(e.hasCheckedOptimisedAppear=!0,e.root===e)return;const{visualElement:t}=e.options;if(!t)return;const n=dE(t);if(window.MotionHasOptimisedAnimation(n,"transform")){const{layout:o,layoutId:a}=e.options;window.MotionCancelOptimisedAnimation(n,"transform",Dr,!(o||a))}const{parent:i}=e;i&&!i.hasCheckedOptimisedAppear&&OE(i)}function DE({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:i,resetTransform:o}){return class{constructor(l={},d=t==null?void 0:t()){this.id=ED++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.hasCheckedOptimisedAppear=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.scheduleUpdate=()=>this.update(),this.projectionUpdateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{this.projectionUpdateScheduled=!1,Ih&&(du.totalNodes=du.resolvedTargetDeltas=du.recalculatedProjection=0),this.nodes.forEach(AD),this.nodes.forEach(DD),this.nodes.forEach(zD),this.nodes.forEach($D),Ih&&window.MotionDebug.record(du)},this.resolvedRelativeTargetAt=0,this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=l,this.root=d?d.root||d:this,this.path=d?[...d.path,d]:[],this.parent=d,this.depth=d?d.depth+1:0;for(let c=0;c<this.path.length;c++)this.path[c].shouldResetTransform=!0;this.root===this&&(this.nodes=new xD)}addEventListener(l,d){return this.eventHandlers.has(l)||this.eventHandlers.set(l,new aw),this.eventHandlers.get(l).add(d)}notifyListeners(l,...d){const c=this.eventHandlers.get(l);c&&c.notify(...d)}hasListeners(l){return this.eventHandlers.has(l)}mount(l,d=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=MD(l),this.instance=l;const{layoutId:c,layout:p,visualElement:v}=this.options;if(v&&!v.current&&v.mount(l),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),d&&(p||c)&&(this.isLayoutDirty=!0),e){let _;const T=()=>this.root.updateBlockedByResize=!1;e(l,()=>{this.root.updateBlockedByResize=!0,_&&_(),_=TD(T,250),Qm.hasAnimatedSinceResize&&(Qm.hasAnimatedSinceResize=!1,this.nodes.forEach(MT))})}c&&this.root.registerSharedNode(c,this),this.options.animate!==!1&&v&&(c||p)&&this.addEventListener("didUpdate",({delta:_,hasLayoutChanged:T,hasRelativeTargetChanged:M,layout:I})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const C=this.options.transition||v.getDefaultTransition()||jD,{onLayoutAnimationStart:E,onLayoutAnimationComplete:x}=v.getProps(),k=!this.targetLayout||!FE(this.targetLayout,I)||M,A=!T&&M;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||A||T&&(k||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(_,A);const N={...Kv(C,"layout"),onPlay:E,onComplete:x};(v.shouldReduceMotion||this.options.layoutRoot)&&(N.delay=0,N.type=!1),this.startAnimation(N)}else T||MT(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=I})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const l=this.getStack();l&&l.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,Wa(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(RD),this.animationId++)}getTransformTemplate(){const{visualElement:l}=this.options;return l&&l.getProps().transformTemplate}willUpdate(l=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(window.MotionCancelOptimisedAnimation&&!this.hasCheckedOptimisedAppear&&OE(this),!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let v=0;v<this.path.length;v++){const _=this.path[v];_.shouldResetTransform=!0,_.updateScroll("snapshot"),_.options.layoutRoot&&_.willUpdate(!1)}const{layoutId:d,layout:c}=this.options;if(d===void 0&&!c)return;const p=this.getTransformTemplate();this.prevTransformTemplateValue=p?p(this.latestValues,""):void 0,this.updateSnapshot(),l&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(TT);return}this.isUpdating||this.nodes.forEach(FD),this.isUpdating=!1,this.nodes.forEach(OD),this.nodes.forEach(CD),this.nodes.forEach(PD),this.clearAllSnapshots();const d=Ra.now();Qi.delta=Il(0,1e3/60,d-Qi.timestamp),Qi.timestamp=d,Qi.isProcessing=!0,wy.update.process(Qi),wy.preRender.process(Qi),wy.render.process(Qi),Qi.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,uw.read(this.scheduleUpdate))}clearAllSnapshots(){this.nodes.forEach(ID),this.sharedNodes.forEach(LD)}scheduleUpdateProjection(){this.projectionUpdateScheduled||(this.projectionUpdateScheduled=!0,Dr.preRender(this.updateProjection,!1,!0))}scheduleCheckAfterUnmount(){Dr.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let c=0;c<this.path.length;c++)this.path[c].updateScroll();const l=this.layout;this.layout=this.measure(!1),this.layoutCorrected=pi(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:d}=this.options;d&&d.notify("LayoutMeasure",this.layout.layoutBox,l?l.layoutBox:void 0)}updateScroll(l="measure"){let d=!!(this.options.layoutScroll&&this.instance);if(this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===l&&(d=!1),d){const c=i(this.instance);this.scroll={animationId:this.root.animationId,phase:l,isRoot:c,offset:n(this.instance),wasRoot:this.scroll?this.scroll.isRoot:c}}}resetTransform(){if(!o)return;const l=this.isLayoutDirty||this.shouldResetTransform||this.options.alwaysMeasureLayout,d=this.projectionDelta&&!IE(this.projectionDelta),c=this.getTransformTemplate(),p=c?c(this.latestValues,""):void 0,v=p!==this.prevTransformTemplateValue;l&&(d||cu(this.latestValues)||v)&&(o(this.instance,p),this.shouldResetTransform=!1,this.scheduleRender())}measure(l=!0){const d=this.measurePageBox();let c=this.removeElementScroll(d);return l&&(c=this.removeTransform(c)),VD(c),{animationId:this.root.animationId,measuredBox:d,layoutBox:c,latestValues:{},source:this.id}}measurePageBox(){var l;const{visualElement:d}=this.options;if(!d)return pi();const c=d.measureViewportBox();if(!(((l=this.scroll)===null||l===void 0?void 0:l.wasRoot)||this.path.some(UD))){const{scroll:v}=this.root;v&&(Kc(c.x,v.offset.x),Kc(c.y,v.offset.y))}return c}removeElementScroll(l){var d;const c=pi();if(ro(c,l),!((d=this.scroll)===null||d===void 0)&&d.wasRoot)return c;for(let p=0;p<this.path.length;p++){const v=this.path[p],{scroll:_,options:T}=v;v!==this.root&&_&&T.layoutScroll&&(_.wasRoot&&ro(c,l),Kc(c.x,_.offset.x),Kc(c.y,_.offset.y))}return c}applyTransform(l,d=!1){const c=pi();ro(c,l);for(let p=0;p<this.path.length;p++){const v=this.path[p];!d&&v.options.layoutScroll&&v.scroll&&v!==v.root&&Xc(c,{x:-v.scroll.offset.x,y:-v.scroll.offset.y}),cu(v.latestValues)&&Xc(c,v.latestValues)}return cu(this.latestValues)&&Xc(c,this.latestValues),c}removeTransform(l){const d=pi();ro(d,l);for(let c=0;c<this.path.length;c++){const p=this.path[c];if(!p.instance||!cu(p.latestValues))continue;W0(p.latestValues)&&p.updateSnapshot();const v=pi(),_=p.measurePageBox();ro(v,_),gT(d,p.latestValues,p.snapshot?p.snapshot.layoutBox:void 0,v)}return cu(this.latestValues)&&gT(d,this.latestValues),d}setTargetDelta(l){this.targetDelta=l,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(l){this.options={...this.options,...l,crossfade:l.crossfade!==void 0?l.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Qi.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(l=!1){var d;const c=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=c.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=c.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=c.isSharedProjectionDirty);const p=!!this.resumingFrom||this!==c;if(!(l||p&&this.isSharedProjectionDirty||this.isProjectionDirty||!((d=this.parent)===null||d===void 0)&&d.isProjectionDirty||this.attemptToResolveRelativeTarget||this.root.updateBlockedByResize))return;const{layout:_,layoutId:T}=this.options;if(!(!this.layout||!(_||T))){if(this.resolvedRelativeTargetAt=Qi.timestamp,!this.targetDelta&&!this.relativeTarget){const M=this.getClosestProjectingParent();M&&M.layout&&this.animationProgress!==1?(this.relativeParent=M,this.forceRelativeParentToResolveTarget(),this.relativeTarget=pi(),this.relativeTargetOrigin=pi(),Gh(this.relativeTargetOrigin,this.layout.layoutBox,M.layout.layoutBox),ro(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=pi(),this.targetWithTransforms=pi()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),WO(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):ro(this.target,this.layout.layoutBox),ME(this.target,this.targetDelta)):ro(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const M=this.getClosestProjectingParent();M&&!!M.resumingFrom==!!this.resumingFrom&&!M.options.layoutScroll&&M.target&&this.animationProgress!==1?(this.relativeParent=M,this.forceRelativeParentToResolveTarget(),this.relativeTarget=pi(),this.relativeTargetOrigin=pi(),Gh(this.relativeTargetOrigin,this.target,M.target),ro(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ih&&du.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||W0(this.parent.latestValues)||TE(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var l;const d=this.getLead(),c=!!this.resumingFrom||this!==d;let p=!0;if((this.isProjectionDirty||!((l=this.parent)===null||l===void 0)&&l.isProjectionDirty)&&(p=!1),c&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(p=!1),this.resolvedRelativeTargetAt===Qi.timestamp&&(p=!1),p)return;const{layout:v,layoutId:_}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(v||_))return;ro(this.layoutCorrected,this.layout.layoutBox);const T=this.treeScale.x,M=this.treeScale.y;JO(this.layoutCorrected,this.treeScale,this.path,c),d.layout&&!d.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(d.target=d.layout.layoutBox,d.targetWithTransforms=pi());const{target:I}=d;if(!I){this.prevProjectionDelta&&(this.createProjectionDeltas(),this.scheduleRender());return}!this.projectionDelta||!this.prevProjectionDelta?this.createProjectionDeltas():(hT(this.prevProjectionDelta.x,this.projectionDelta.x),hT(this.prevProjectionDelta.y,this.projectionDelta.y)),Wh(this.projectionDelta,this.layoutCorrected,I,this.latestValues),(this.treeScale.x!==T||this.treeScale.y!==M||!bT(this.projectionDelta.x,this.prevProjectionDelta.x)||!bT(this.projectionDelta.y,this.prevProjectionDelta.y))&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",I)),Ih&&du.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(l=!0){var d;if((d=this.options.visualElement)===null||d===void 0||d.scheduleRender(),l){const c=this.getStack();c&&c.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}createProjectionDeltas(){this.prevProjectionDelta=Hc(),this.projectionDelta=Hc(),this.projectionDeltaWithTransform=Hc()}setAnimationOrigin(l,d=!1){const c=this.snapshot,p=c?c.latestValues:{},v={...this.latestValues},_=Hc();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!d;const T=pi(),M=c?c.source:void 0,I=this.layout?this.layout.source:void 0,C=M!==I,E=this.getStack(),x=!E||E.members.length<=1,k=!!(C&&!x&&this.options.crossfade===!0&&!this.path.some(ND));this.animationProgress=0;let A;this.mixTargetDelta=N=>{const 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