diff --git a/dist/demo-browser-index.js b/dist/demo-browser-index.js
index c9bda916..8b9a1e41 100644
--- a/dist/demo-browser-index.js
+++ b/dist/demo-browser-index.js
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 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
 lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
-2Q==`,kae="0.11.5",ft=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function zl(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=zl(s,i):n[a]=i}),n),{})}var J6=class{constructor(e={}){this.tf=M2,this.version=kae,this.config=zl(vae,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=_6,this.age=I6,this.gender=N6,this.emotion=S6,this.body=R6,this.hand=V6}profile(){return this.config.profile?k6:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let t=Ln().state.numTensors,n=this.numTensors;this.numTensors=t;let r=t-n;r!==0&&Ue(...e,r)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(bn.flags.IS_NODE&&!(e instanceof Qe))return"input must be a tensor";try{qh()}catch(t){return"backend not loaded"}return null}simmilarity(e,t){return this.config.face.embedding.enabled?Mre(e,t):0}async load(e=null){this.state="load";let t=ft();e&&(this.config=zl(this.config,e)),this.firstRun&&(Ue(`version: ${this.version} TensorFlow/JS version: ${V2}`),await this.checkBackend(!0),bn.flags.IS_BROWSER&&(Ue("configuration:",this.config),Ue("tf flags:",bn.flags)));let n=this.config.face.detector.modelPath.includes("faceboxes")?b6:_6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?n.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?e2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?n2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?o2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?E6(this.config):null),this.models.posenet||(this.config.body.enabled?h2(this.config):null),this.models.handpose||(this.config.hand.enabled?A2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await n.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await e2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await n2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await o2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await E6(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await h2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await A2(this.config))),this.firstRun&&(Ue("tf engine state:",Ln().state.numBytes,"bytes",Ln().state.numTensors,"tensors"),this.firstRun=!1);let r=Math.trunc(ft()-t);r>(this.perf.load||0)&&(this.perf.load=r)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||qh()!==this.config.backend){let t=ft();this.state="backend",Ue("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Ue("settings wasm path:",this.config.wasmPath),S0(this.config.wasmPath),await Q().getAsync("WASM_HAS_SIMD_SUPPORT")||Ue("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&lre();try{await H2(this.config.backend)}catch(n){Ue("error: cannot set backend:",this.config.backend,n)}if(U2(),qh()==="webgl"){this.config.deallocate&&(Ue("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),bn.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),bn.set("WEBGL_FORCE_F16_TEXTURES",!0),bn.set("WEBGL_PACK_DEPTHWISECONV",!0);let n=await Rf().getGPGPUContext().gl;Ue(`gl version:${n.getParameter(n.VERSION)} renderer:${n.getParameter(n.RENDERER)}`)}await j2(),this.perf.backend=Math.trunc(ft()-t)}}async detectFace(e){var t,n,r,a,s,i;let o,l,c,u,h,d=[];this.state="run:face",o=ft();let p=await((t=this.models.face)==null?void 0:t.estimateFaces(e,this.config));this.perf.face=Math.trunc(ft()-o);for(let f of p){if(this.analyze("Get Face"),!f.image||f.image.isDisposedInternal){Ue("Face object is disposed:",f.image);continue}this.analyze("Start Age:"),this.config.async?l=this.config.face.age.enabled?t2(f.image,this.config):{}:(this.state="run:age",o=ft(),l=this.config.face.age.enabled?await t2(f.image,this.config):{},this.perf.age=Math.trunc(ft()-o)),this.analyze("Start Gender:"),this.config.async?c=this.config.face.gender.enabled?r2(f.image,this.config):{}:(this.state="run:gender",o=ft(),c=this.config.face.gender.enabled?await r2(f.image,this.config):{},this.perf.gender=Math.trunc(ft()-o)),this.analyze("Start Emotion:"),this.config.async?u=this.config.face.emotion.enabled?l2(f.image,this.config):{}:(this.state="run:emotion",o=ft(),u=this.config.face.emotion.enabled?await l2(f.image,this.config):{},this.perf.emotion=Math.trunc(ft()-o)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?h=this.config.face.embedding.enabled?C6(f.image,this.config):{}:(this.state="run:embedding",o=ft(),h=this.config.face.embedding.enabled?await C6(f.image,this.config):{},this.perf.embedding=Math.trunc(ft()-o)),this.analyze("End Emotion:"),this.config.async&&([l,c,u,h]=await Promise.all([l,c,u,h])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((n=f==null?void 0:f.annotations)==null?void 0:n.leftEyeIris)&&((r=f==null?void 0:f.annotations)==null?void 0:r.rightEyeIris)&&(delete f.annotations.leftEyeIris,delete f.annotations.rightEyeIris);let m=((a=f.annotations)==null?void 0:a.leftEyeIris)&&((s=f.annotations)==null?void 0:s.rightEyeIris)?11.7*Math.max(Math.abs(f.annotations.leftEyeIris[3][0]-f.annotations.leftEyeIris[1][0]),Math.abs(f.annotations.rightEyeIris[4][1]-f.annotations.rightEyeIris[2][1])):0;d.push({confidence:f.confidence,box:f.box,mesh:f.mesh,boxRaw:f.boxRaw,meshRaw:f.meshRaw,annotations:f.annotations,age:l.age,gender:c.gender,genderConfidence:c.confidence,emotion:u,embedding:h,iris:m!==0?Math.trunc(m)/100:0}),(i=f.image)==null||i.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),d}async image(e,t={}){var n;this.state="image",this.config=zl(this.config,t);let r=Z6(e,this.config);return(n=r==null?void 0:r.tensor)==null||n.dispose(),r==null?void 0:r.canvas}async detect(e,t={}){return new Promise(async n=>{var r,a,s,i;this.state="config";let o;this.config=zl(this.config,t),this.state="check";let l=this.sanity(e);l&&(Ue(l,e),n({error:l}));let c,u,h,d=ft();await this.checkBackend(),await this.load(),this.config.scoped&&Ln().startScope(),this.analyze("Start Scope:"),o=ft();let p=Z6(e,this.config);if(!p||!p.tensor){Ue("could not convert input to tensor"),n({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(ft()-o),this.analyze("Get Image:"),this.config.async?(h=this.config.face.enabled?this.detectFace(p.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",o=ft(),h=this.config.face.enabled?await this.detectFace(p.tensor):[],this.perf.face=Math.trunc(ft()-o)),this.analyze("Start Body:"),this.config.async?(c=this.config.body.enabled?(r=this.models.posenet)==null?void 0:r.estimatePoses(p.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",o=ft(),c=this.config.body.enabled?await((a=this.models.posenet)==null?void 0:a.estimatePoses(p.tensor,this.config)):[],this.perf.body=Math.trunc(ft()-o)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(u=this.config.hand.enabled?(s=this.models.handpose)==null?void 0:s.estimateHands(p.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",o=ft(),u=this.config.hand.enabled?await((i=this.models.handpose)==null?void 0:i.estimateHands(p.tensor,this.config)):[],this.perf.hand=Math.trunc(ft()-o)),this.analyze("End Hand:"),this.config.async&&([h,c,u]=await Promise.all([h,c,u])),p.tensor.dispose(),this.config.scoped&&Ln().endScope(),this.analyze("End Scope:");let f=[];this.config.gesture.enabled&&(o=ft(),f=[...xae(h),...gae(c),..._ae(u),...wae(h)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(ft()-o)),this.perf.total=Math.trunc(ft()-d),this.state="idle",n({face:h,body:c,hand:u,gesture:f,performance:this.perf,canvas:p.canvas})})}async warmupBitmap(){let e=(r,a="application/octet-stream")=>fetch(`data:${a};base64,${r}`).then(s=>s.blob()),t,n;switch(this.config.warmup){case"face":t=await e(_2);break;case"full":t=await e(b2);break;default:t=null}if(t){let r=await createImageBitmap(t);n=await this.detect(r,this.config),r.close()}return n}async warmupCanvas(){return new Promise(e=>{let t,n=0;switch(this.config.warmup){case"face":n=256,t="data:image/jpeg;base64,"+_2;break;case"full":n=1200,t="data:image/jpeg;base64,"+b2;break;default:t=null}let r=new Image(n,n);r.onload=()=>{let a=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(n,n):document.createElement("canvas");a.width=n,a.height=n;let s=a.getContext("2d");s==null||s.drawImage(r,0,0);let i=s==null?void 0:s.getImageData(0,0,n,n);this.detect(i,this.config).then(o=>e(o))},t?r.src=t:e(null)})}async warmupNode(){let e=s=>Buffer.from(s,"base64"),t=this.config.warmup==="face"?e(_2):e(b2),n=(void 0).decodeJpeg(t),r=n.expandDims(0);Ce(n);let a=await this.detect(r,this.config);return Ce(r),a}async warmup(e){let t=ft();e&&(this.config=zl(this.config,e));let n=this.config.videoOptimized;this.config.videoOptimized=!1;let r;typeof createImageBitmap=="function"?r=await this.warmupBitmap():typeof Image!="undefined"?r=await this.warmupCanvas():r=await this.warmupNode(),this.config.videoOptimized=n;let a=ft();return Ue("Warmup",this.config.warmup,Math.round(a-t),"ms",r),r}};async function Iae(e,t,n){if(!e)return;let r=t.getContext("2d");r.font=n.baseFont,r.fillStyle=n.baseLabel;let a=1;for(let s=0;s<e.length;s++){let[i,o]=Object.entries(e[s]);if(o.length>1&&o[1].length>0){let l=i[1]>0?`#${i[1]}`:"",c=`${i[0]} ${l}: ${o[1]}`;r.fillStyle="black",r.fillText(c,8,2+a*n.baseLineHeight),r.fillStyle=n.baseLabel,r.fillText(c,6,0+a*n.baseLineHeight),a+=1}}}async function Nae(e,t,n,r){if(!e)return;let a=t.getContext("2d");for(let s of e){a.font=n.baseFont,a.strokeStyle=n.baseColor,a.fillStyle=n.baseColor,a.lineWidth=n.baseLineWidth,a.beginPath(),n.drawBoxes&&a.rect(s.box[0],s.box[1],s.box[2],s.box[3]);let i=[];if(s.genderConfidence&&i.push(`${s.gender||""} ${Math.trunc(100*s.genderConfidence)}% confident`),s.age&&i.push(`age: ${s.age||""}`),s.iris&&i.push(`iris distance: ${s.iris}`),s.emotion&&s.emotion.length>0){let o=s.emotion.map(l=>`${Math.trunc(100*l.score)}% ${l.emotion}`);i.push(o.join(" "))}i.length===0&&i.push("face"),a.fillStyle=n.baseLabel;for(let o=0;o<i.length;o++)a.fillStyle="black",a.fillText(i[o],s.box[0]+1,s.box[1]-(i.length-o)*n.baseLineHeight+6),a.fillStyle=n.baseLabel,a.fillText(i[o],s.box[0]+0,s.box[1]-(i.length-o)*n.baseLineHeight+5);if(a.fillStyle=n.baseColor,a.stroke(),a.lineWidth=1,s.mesh){if(n.drawPoints)for(let o of s.mesh)a.fillStyle=n.useDepth?`rgba(${127.5+2*o[2]}, ${127.5-2*o[2]}, 255, 0.5)`:n.baseColor,a.beginPath(),a.arc(o[0],o[1],2,0,2*Math.PI),a.fill();if(n.drawPolygons){for(let o=0;o<r.length/3;o++){let l=[r[o*3+0],r[o*3+1],r[o*3+2]].map(u=>s.mesh[u]),c=new Path2D;c.moveTo(l[0][0],l[0][1]);for(let u of l)c.lineTo(u[0],u[1]);c.closePath(),a.strokeStyle=n.useDepth?`rgba(${127.5+2*l[0][2]}, ${127.5-2*l[0][2]}, 255, 0.3)`:n.baseColor,a.stroke(c),n.fillPolygons&&(a.fillStyle=n.useDepth?`rgba(${127.5+2*l[0][2]}, ${127.5-2*l[0][2]}, 255, 0.3)`:n.baseColor,a.fill(c))}if(s.annotations&&s.annotations.leftEyeIris){a.strokeStyle=n.useDepth?"rgba(255, 200, 255, 0.3)":n.baseColor,a.beginPath();let o=Math.abs(s.annotations.leftEyeIris[3][0]-s.annotations.leftEyeIris[1][0])/2,l=Math.abs(s.annotations.leftEyeIris[4][1]-s.annotations.leftEyeIris[2][1])/2;a.ellipse(s.annotations.leftEyeIris[0][0],s.annotations.leftEyeIris[0][1],o,l,0,0,2*Math.PI),a.stroke(),n.fillPolygons&&(a.fillStyle=n.useDepth?"rgba(255, 255, 200, 0.3)":n.baseColor,a.fill())}if(s.annotations&&s.annotations.rightEyeIris){a.strokeStyle=n.useDepth?"rgba(255, 200, 255, 0.3)":n.baseColor,a.beginPath();let o=Math.abs(s.annotations.rightEyeIris[3][0]-s.annotations.rightEyeIris[1][0])/2,l=Math.abs(s.annotations.rightEyeIris[4][1]-s.annotations.rightEyeIris[2][1])/2;a.ellipse(s.annotations.rightEyeIris[0][0],s.annotations.rightEyeIris[0][1],o,l,0,0,2*Math.PI),a.stroke(),n.fillPolygons&&(a.fillStyle=n.useDepth?"rgba(255, 255, 200, 0.3)":n.baseColor,a.fill())}}}}}var Ba=[];async function Sae(e,t,n){if(!e)return;let r=t.getContext("2d");r.lineJoin="round";for(let a=0;a<e.length;a++){if(!Ba[a]&&n.buffered&&(Ba[a]={...e[a]}),r.fillStyle=n.baseColor,r.strokeStyle=n.baseColor,r.font=n.baseFont,r.lineWidth=n.baseLineWidth,n.drawPoints)for(let s=0;s<e[a].keypoints.length;s++)r.beginPath(),n.buffered?(Ba[a].keypoints[s].position.x=(Ba[a].keypoints[s].position.x+e[a].keypoints[s].position.x)/2,Ba[a].keypoints[s].position.y=(Ba[a].keypoints[s].position.y+e[a].keypoints[s].position.y)/2,r.arc(Ba[a].keypoints[s].position.x,Ba[a].keypoints[s].position.y,2,0,2*Math.PI)):r.arc(e[a].keypoints[s].position.x,e[a].keypoints[s].position.y,2,0,2*Math.PI),r.fill();if(n.drawPolygons){let s=new Path2D,i,o;i=e[a].keypoints.find(l=>l.part==="leftShoulder"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="rightShoulder"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="rightHip"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftHip"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftShoulder"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="leftHip"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="leftKnee"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftAnkle"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="rightHip"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="rightKnee"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="rightAnkle"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="leftShoulder"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="leftElbow"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftWrist"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="rightShoulder"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="rightElbow"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="rightWrist"),o&&s.lineTo(o.position.x,o.position.y)),r.stroke(s)}}}async function Tae(e,t,n){if(!e)return;let r=t.getContext("2d");r.lineJoin="round";for(let a of e){if(r.font=n.baseFont,r.lineWidth=n.baseLineWidth,n.drawBoxes&&(r.lineWidth=n.baseLineWidth,r.beginPath(),r.strokeStyle=n.baseColor,r.fillStyle=n.baseColor,r.rect(a.box[0],a.box[1],a.box[2],a.box[3]),r.fillStyle="black",r.fillText("hand",a.box[0]+3,1+a.box[1]+n.baseLineHeight,a.box[2]),r.fillStyle=n.baseLabel,r.fillText("hand",a.box[0]+2,0+a.box[1]+n.baseLineHeight,a.box[2]),r.stroke()),n.drawPoints&&a.landmarks&&a.landmarks.length>0)for(let s of a.landmarks)r.fillStyle=n.useDepth?`rgba(${127.5+2*s[2]}, ${127.5-2*s[2]}, 255, 0.5)`:n.baseColor,r.beginPath(),r.arc(s[0],s[1],2,0,2*Math.PI),r.fill();if(n.drawPolygons){let s=i=>{if(!!i)for(let o=0;o<i.length;o++)r.lineWidth=n.baseLineWidth,r.beginPath(),r.strokeStyle=n.useDepth?`rgba(${127.5+2*i[o][2]}, ${127.5-2*i[o][2]}, 255, 0.5)`:n.baseColor,r.moveTo(i[o>0?o-1:0][0],i[o>0?o-1:0][1]),r.lineTo(i[o][0],i[o][1]),r.stroke()};s(a.annotations.indexFinger),s(a.annotations.middleFinger),s(a.annotations.ringFinger),s(a.annotations.pinky),s(a.annotations.thumb)}}}var Lc={face:Nae,body:Sae,hand:Tae,gesture:Iae};var Wc=0,Y6=!1,wt={background:"darkslategray",hover:"lightgray",itemBackground:"black",itemColor:"white",buttonBackground:"lightblue",buttonHover:"lightgreen",checkboxOn:"lightgreen",checkboxOff:"lightcoral",rangeBackground:"lightblue",rangeLabel:"white",chartColor:"lightblue"};function Eae(){if(Y6)return;let e=`
+2Q==`,kae="0.20.1",ft=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function zl(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=zl(s,i):n[a]=i}),n),{})}var J6=class{constructor(e={}){this.tf=M2,this.version=kae,this.config=zl(vae,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=_6,this.age=I6,this.gender=N6,this.emotion=S6,this.body=R6,this.hand=V6}profile(){return this.config.profile?k6:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let t=Ln().state.numTensors,n=this.numTensors;this.numTensors=t;let r=t-n;r!==0&&Ue(...e,r)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(bn.flags.IS_NODE&&!(e instanceof Qe))return"input must be a tensor";try{qh()}catch(t){return"backend not loaded"}return null}simmilarity(e,t){return this.config.face.embedding.enabled?Mre(e,t):0}async load(e=null){this.state="load";let t=ft();e&&(this.config=zl(this.config,e)),this.firstRun&&(Ue(`version: ${this.version} TensorFlow/JS version: ${V2}`),await this.checkBackend(!0),bn.flags.IS_BROWSER&&(Ue("configuration:",this.config),Ue("tf flags:",bn.flags)));let n=this.config.face.detector.modelPath.includes("faceboxes")?b6:_6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?n.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?e2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?n2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?o2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?E6(this.config):null),this.models.posenet||(this.config.body.enabled?h2(this.config):null),this.models.handpose||(this.config.hand.enabled?A2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await n.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await e2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await n2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await o2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await E6(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await h2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await A2(this.config))),this.firstRun&&(Ue("tf engine state:",Ln().state.numBytes,"bytes",Ln().state.numTensors,"tensors"),this.firstRun=!1);let r=Math.trunc(ft()-t);r>(this.perf.load||0)&&(this.perf.load=r)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||qh()!==this.config.backend){let t=ft();this.state="backend",Ue("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Ue("settings wasm path:",this.config.wasmPath),S0(this.config.wasmPath),await Q().getAsync("WASM_HAS_SIMD_SUPPORT")||Ue("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&lre();try{await H2(this.config.backend)}catch(n){Ue("error: cannot set backend:",this.config.backend,n)}if(U2(),qh()==="webgl"){this.config.deallocate&&(Ue("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),bn.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),bn.set("WEBGL_FORCE_F16_TEXTURES",!0),bn.set("WEBGL_PACK_DEPTHWISECONV",!0);let n=await Rf().getGPGPUContext().gl;Ue(`gl version:${n.getParameter(n.VERSION)} renderer:${n.getParameter(n.RENDERER)}`)}await j2(),this.perf.backend=Math.trunc(ft()-t)}}async detectFace(e){var t,n,r,a,s,i;let o,l,c,u,h,d=[];this.state="run:face",o=ft();let p=await((t=this.models.face)==null?void 0:t.estimateFaces(e,this.config));this.perf.face=Math.trunc(ft()-o);for(let f of p){if(this.analyze("Get Face"),!f.image||f.image.isDisposedInternal){Ue("Face object is disposed:",f.image);continue}this.analyze("Start Age:"),this.config.async?l=this.config.face.age.enabled?t2(f.image,this.config):{}:(this.state="run:age",o=ft(),l=this.config.face.age.enabled?await t2(f.image,this.config):{},this.perf.age=Math.trunc(ft()-o)),this.analyze("Start Gender:"),this.config.async?c=this.config.face.gender.enabled?r2(f.image,this.config):{}:(this.state="run:gender",o=ft(),c=this.config.face.gender.enabled?await r2(f.image,this.config):{},this.perf.gender=Math.trunc(ft()-o)),this.analyze("Start Emotion:"),this.config.async?u=this.config.face.emotion.enabled?l2(f.image,this.config):{}:(this.state="run:emotion",o=ft(),u=this.config.face.emotion.enabled?await l2(f.image,this.config):{},this.perf.emotion=Math.trunc(ft()-o)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?h=this.config.face.embedding.enabled?C6(f.image,this.config):{}:(this.state="run:embedding",o=ft(),h=this.config.face.embedding.enabled?await C6(f.image,this.config):{},this.perf.embedding=Math.trunc(ft()-o)),this.analyze("End Emotion:"),this.config.async&&([l,c,u,h]=await Promise.all([l,c,u,h])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((n=f==null?void 0:f.annotations)==null?void 0:n.leftEyeIris)&&((r=f==null?void 0:f.annotations)==null?void 0:r.rightEyeIris)&&(delete f.annotations.leftEyeIris,delete f.annotations.rightEyeIris);let m=((a=f.annotations)==null?void 0:a.leftEyeIris)&&((s=f.annotations)==null?void 0:s.rightEyeIris)?11.7*Math.max(Math.abs(f.annotations.leftEyeIris[3][0]-f.annotations.leftEyeIris[1][0]),Math.abs(f.annotations.rightEyeIris[4][1]-f.annotations.rightEyeIris[2][1])):0;d.push({confidence:f.confidence,box:f.box,mesh:f.mesh,boxRaw:f.boxRaw,meshRaw:f.meshRaw,annotations:f.annotations,age:l.age,gender:c.gender,genderConfidence:c.confidence,emotion:u,embedding:h,iris:m!==0?Math.trunc(m)/100:0}),(i=f.image)==null||i.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),d}async image(e,t={}){var n;this.state="image",this.config=zl(this.config,t);let r=Z6(e,this.config);return(n=r==null?void 0:r.tensor)==null||n.dispose(),r==null?void 0:r.canvas}async detect(e,t={}){return new Promise(async n=>{var r,a,s,i;this.state="config";let o;this.config=zl(this.config,t),this.state="check";let l=this.sanity(e);l&&(Ue(l,e),n({error:l}));let c,u,h,d=ft();await this.checkBackend(),await this.load(),this.config.scoped&&Ln().startScope(),this.analyze("Start Scope:"),o=ft();let p=Z6(e,this.config);if(!p||!p.tensor){Ue("could not convert input to tensor"),n({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(ft()-o),this.analyze("Get Image:"),this.config.async?(h=this.config.face.enabled?this.detectFace(p.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",o=ft(),h=this.config.face.enabled?await this.detectFace(p.tensor):[],this.perf.face=Math.trunc(ft()-o)),this.analyze("Start Body:"),this.config.async?(c=this.config.body.enabled?(r=this.models.posenet)==null?void 0:r.estimatePoses(p.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",o=ft(),c=this.config.body.enabled?await((a=this.models.posenet)==null?void 0:a.estimatePoses(p.tensor,this.config)):[],this.perf.body=Math.trunc(ft()-o)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(u=this.config.hand.enabled?(s=this.models.handpose)==null?void 0:s.estimateHands(p.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",o=ft(),u=this.config.hand.enabled?await((i=this.models.handpose)==null?void 0:i.estimateHands(p.tensor,this.config)):[],this.perf.hand=Math.trunc(ft()-o)),this.analyze("End Hand:"),this.config.async&&([h,c,u]=await Promise.all([h,c,u])),p.tensor.dispose(),this.config.scoped&&Ln().endScope(),this.analyze("End Scope:");let f=[];this.config.gesture.enabled&&(o=ft(),f=[...xae(h),...gae(c),..._ae(u),...wae(h)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(ft()-o)),this.perf.total=Math.trunc(ft()-d),this.state="idle",n({face:h,body:c,hand:u,gesture:f,performance:this.perf,canvas:p.canvas})})}async warmupBitmap(){let e=(r,a="application/octet-stream")=>fetch(`data:${a};base64,${r}`).then(s=>s.blob()),t,n;switch(this.config.warmup){case"face":t=await e(_2);break;case"full":t=await e(b2);break;default:t=null}if(t){let r=await createImageBitmap(t);n=await this.detect(r,this.config),r.close()}return n}async warmupCanvas(){return new Promise(e=>{let t,n=0;switch(this.config.warmup){case"face":n=256,t="data:image/jpeg;base64,"+_2;break;case"full":n=1200,t="data:image/jpeg;base64,"+b2;break;default:t=null}let r=new Image(n,n);r.onload=()=>{let a=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(n,n):document.createElement("canvas");a.width=n,a.height=n;let s=a.getContext("2d");s==null||s.drawImage(r,0,0);let i=s==null?void 0:s.getImageData(0,0,n,n);this.detect(i,this.config).then(o=>e(o))},t?r.src=t:e(null)})}async warmupNode(){let e=s=>Buffer.from(s,"base64"),t=this.config.warmup==="face"?e(_2):e(b2),n=(void 0).decodeJpeg(t),r=n.expandDims(0);Ce(n);let a=await this.detect(r,this.config);return Ce(r),a}async warmup(e){let t=ft();e&&(this.config=zl(this.config,e));let n=this.config.videoOptimized;this.config.videoOptimized=!1;let r;typeof createImageBitmap=="function"?r=await this.warmupBitmap():typeof Image!="undefined"?r=await this.warmupCanvas():r=await this.warmupNode(),this.config.videoOptimized=n;let a=ft();return Ue("Warmup",this.config.warmup,Math.round(a-t),"ms",r),r}};async function Iae(e,t,n){if(!e)return;let r=t.getContext("2d");r.font=n.baseFont,r.fillStyle=n.baseLabel;let a=1;for(let s=0;s<e.length;s++){let[i,o]=Object.entries(e[s]);if(o.length>1&&o[1].length>0){let l=i[1]>0?`#${i[1]}`:"",c=`${i[0]} ${l}: ${o[1]}`;r.fillStyle="black",r.fillText(c,8,2+a*n.baseLineHeight),r.fillStyle=n.baseLabel,r.fillText(c,6,0+a*n.baseLineHeight),a+=1}}}async function Nae(e,t,n,r){if(!e)return;let a=t.getContext("2d");for(let s of e){a.font=n.baseFont,a.strokeStyle=n.baseColor,a.fillStyle=n.baseColor,a.lineWidth=n.baseLineWidth,a.beginPath(),n.drawBoxes&&a.rect(s.box[0],s.box[1],s.box[2],s.box[3]);let i=[];if(s.genderConfidence&&i.push(`${s.gender||""} ${Math.trunc(100*s.genderConfidence)}% confident`),s.age&&i.push(`age: ${s.age||""}`),s.iris&&i.push(`iris distance: ${s.iris}`),s.emotion&&s.emotion.length>0){let o=s.emotion.map(l=>`${Math.trunc(100*l.score)}% ${l.emotion}`);i.push(o.join(" "))}i.length===0&&i.push("face"),a.fillStyle=n.baseLabel;for(let o=0;o<i.length;o++)a.fillStyle="black",a.fillText(i[o],s.box[0]+1,s.box[1]-(i.length-o)*n.baseLineHeight+6),a.fillStyle=n.baseLabel,a.fillText(i[o],s.box[0]+0,s.box[1]-(i.length-o)*n.baseLineHeight+5);if(a.fillStyle=n.baseColor,a.stroke(),a.lineWidth=1,s.mesh){if(n.drawPoints)for(let o of s.mesh)a.fillStyle=n.useDepth?`rgba(${127.5+2*o[2]}, ${127.5-2*o[2]}, 255, 0.5)`:n.baseColor,a.beginPath(),a.arc(o[0],o[1],2,0,2*Math.PI),a.fill();if(n.drawPolygons){for(let o=0;o<r.length/3;o++){let l=[r[o*3+0],r[o*3+1],r[o*3+2]].map(u=>s.mesh[u]),c=new Path2D;c.moveTo(l[0][0],l[0][1]);for(let u of l)c.lineTo(u[0],u[1]);c.closePath(),a.strokeStyle=n.useDepth?`rgba(${127.5+2*l[0][2]}, ${127.5-2*l[0][2]}, 255, 0.3)`:n.baseColor,a.stroke(c),n.fillPolygons&&(a.fillStyle=n.useDepth?`rgba(${127.5+2*l[0][2]}, ${127.5-2*l[0][2]}, 255, 0.3)`:n.baseColor,a.fill(c))}if(s.annotations&&s.annotations.leftEyeIris){a.strokeStyle=n.useDepth?"rgba(255, 200, 255, 0.3)":n.baseColor,a.beginPath();let o=Math.abs(s.annotations.leftEyeIris[3][0]-s.annotations.leftEyeIris[1][0])/2,l=Math.abs(s.annotations.leftEyeIris[4][1]-s.annotations.leftEyeIris[2][1])/2;a.ellipse(s.annotations.leftEyeIris[0][0],s.annotations.leftEyeIris[0][1],o,l,0,0,2*Math.PI),a.stroke(),n.fillPolygons&&(a.fillStyle=n.useDepth?"rgba(255, 255, 200, 0.3)":n.baseColor,a.fill())}if(s.annotations&&s.annotations.rightEyeIris){a.strokeStyle=n.useDepth?"rgba(255, 200, 255, 0.3)":n.baseColor,a.beginPath();let o=Math.abs(s.annotations.rightEyeIris[3][0]-s.annotations.rightEyeIris[1][0])/2,l=Math.abs(s.annotations.rightEyeIris[4][1]-s.annotations.rightEyeIris[2][1])/2;a.ellipse(s.annotations.rightEyeIris[0][0],s.annotations.rightEyeIris[0][1],o,l,0,0,2*Math.PI),a.stroke(),n.fillPolygons&&(a.fillStyle=n.useDepth?"rgba(255, 255, 200, 0.3)":n.baseColor,a.fill())}}}}}var Ba=[];async function Sae(e,t,n){if(!e)return;let r=t.getContext("2d");r.lineJoin="round";for(let a=0;a<e.length;a++){if(!Ba[a]&&n.buffered&&(Ba[a]={...e[a]}),r.fillStyle=n.baseColor,r.strokeStyle=n.baseColor,r.font=n.baseFont,r.lineWidth=n.baseLineWidth,n.drawPoints)for(let s=0;s<e[a].keypoints.length;s++)r.beginPath(),n.buffered?(Ba[a].keypoints[s].position.x=(Ba[a].keypoints[s].position.x+e[a].keypoints[s].position.x)/2,Ba[a].keypoints[s].position.y=(Ba[a].keypoints[s].position.y+e[a].keypoints[s].position.y)/2,r.arc(Ba[a].keypoints[s].position.x,Ba[a].keypoints[s].position.y,2,0,2*Math.PI)):r.arc(e[a].keypoints[s].position.x,e[a].keypoints[s].position.y,2,0,2*Math.PI),r.fill();if(n.drawPolygons){let s=new Path2D,i,o;i=e[a].keypoints.find(l=>l.part==="leftShoulder"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="rightShoulder"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="rightHip"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftHip"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftShoulder"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="leftHip"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="leftKnee"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftAnkle"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="rightHip"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="rightKnee"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="rightAnkle"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="leftShoulder"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="leftElbow"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftWrist"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="rightShoulder"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="rightElbow"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="rightWrist"),o&&s.lineTo(o.position.x,o.position.y)),r.stroke(s)}}}async function Tae(e,t,n){if(!e)return;let r=t.getContext("2d");r.lineJoin="round";for(let a of e){if(r.font=n.baseFont,r.lineWidth=n.baseLineWidth,n.drawBoxes&&(r.lineWidth=n.baseLineWidth,r.beginPath(),r.strokeStyle=n.baseColor,r.fillStyle=n.baseColor,r.rect(a.box[0],a.box[1],a.box[2],a.box[3]),r.fillStyle="black",r.fillText("hand",a.box[0]+3,1+a.box[1]+n.baseLineHeight,a.box[2]),r.fillStyle=n.baseLabel,r.fillText("hand",a.box[0]+2,0+a.box[1]+n.baseLineHeight,a.box[2]),r.stroke()),n.drawPoints&&a.landmarks&&a.landmarks.length>0)for(let s of a.landmarks)r.fillStyle=n.useDepth?`rgba(${127.5+2*s[2]}, ${127.5-2*s[2]}, 255, 0.5)`:n.baseColor,r.beginPath(),r.arc(s[0],s[1],2,0,2*Math.PI),r.fill();if(n.drawPolygons){let s=i=>{if(!!i)for(let o=0;o<i.length;o++)r.lineWidth=n.baseLineWidth,r.beginPath(),r.strokeStyle=n.useDepth?`rgba(${127.5+2*i[o][2]}, ${127.5-2*i[o][2]}, 255, 0.5)`:n.baseColor,r.moveTo(i[o>0?o-1:0][0],i[o>0?o-1:0][1]),r.lineTo(i[o][0],i[o][1]),r.stroke()};s(a.annotations.indexFinger),s(a.annotations.middleFinger),s(a.annotations.ringFinger),s(a.annotations.pinky),s(a.annotations.thumb)}}}var Lc={face:Nae,body:Sae,hand:Tae,gesture:Iae};var Wc=0,Y6=!1,wt={background:"darkslategray",hover:"lightgray",itemBackground:"black",itemColor:"white",buttonBackground:"lightblue",buttonHover:"lightgreen",checkboxOn:"lightgreen",checkboxOff:"lightcoral",rangeBackground:"lightblue",rangeLabel:"white",chartColor:"lightblue"};function Eae(){if(Y6)return;let e=`
   :root { --rounded: 0.2rem; }
   .menu { position: absolute; top: 0rem; right: 0; width: max-content; padding: 0 0.2rem 0 0.2rem; line-height: 1.8rem; z-index: 10;
           box-shadow: 0 0 8px dimgrey; background: ${wt.background}; border-radius: var(--rounded); border-color: black; border-style: solid; border-width: thin; }
diff --git a/dist/human.esm-nobundle.js b/dist/human.esm-nobundle.js
index 3423d1ba..ed0d420e 100644
--- a/dist/human.esm-nobundle.js
+++ b/dist/human.esm-nobundle.js
@@ -731,5 +731,5 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA
 BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2
 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
 lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
-2Q==`;var S0="0.11.5";var v=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function ce(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=ce(c,_):n[A]=_}),n),{})}var N0=class{constructor(e={}){this.tf=R,this.version=S0,this.config=ce(j0,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=W0,this.age=Ye,this.gender=Ue,this.emotion=$e,this.body=f1,this.hand=v1}profile(){return this.config.profile?He:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=R.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&u(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(R.ENV.flags.IS_NODE&&!(e instanceof R.Tensor))return"input must be a tensor";try{R.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?D1(e,n):0}async load(e=null){this.state="load";let n=v();e&&(this.config=ce(this.config,e)),this.firstRun&&(u(`version: ${this.version} TensorFlow/JS version: ${R.version_core}`),await this.checkBackend(!0),R.ENV.flags.IS_BROWSER&&(u("configuration:",this.config),u("tf flags:",R.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?Fe:W0;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Be(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Ge(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?n1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?A1(this.config):null),this.models.posenet||(this.config.body.enabled?p1(this.config):null),this.models.handpose||(this.config.hand.enabled?z1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Be(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Ge(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await n1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await A1(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await p1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await z1(this.config))),this.firstRun&&(u("tf engine state:",R.engine().state.numBytes,"bytes",R.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(v()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||R.getBackend()!==this.config.backend){let n=v();this.state="backend",u("setting backend:",this.config.backend),this.config.backend==="wasm"&&(u("settings wasm path:",this.config.wasmPath),R.setWasmPaths(this.config.wasmPath),await R.env().getAsync("WASM_HAS_SIMD_SUPPORT")||u("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&O1();try{await R.setBackend(this.config.backend)}catch(r){u("error: cannot set backend:",this.config.backend,r)}if(R.enableProdMode(),R.getBackend()==="webgl"){this.config.deallocate&&(u("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),R.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),R.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),R.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await R.backend().getGPGPUContext().gl;u(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await R.ready(),this.perf.backend=Math.trunc(v()-n)}}async detectFace(e){var o,i,d,w,s,m;let n,r,A,c,_,h=[];this.state="run:face",n=v();let x=await((o=this.models.face)==null?void 0:o.estimateFaces(e,this.config));this.perf.face=Math.trunc(v()-n);for(let l of x){if(this.analyze("Get Face"),!l.image||l.image.isDisposedInternal){u("Face object is disposed:",l.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?Je(l.image,this.config):{}:(this.state="run:age",n=v(),r=this.config.face.age.enabled?await Je(l.image,this.config):{},this.perf.age=Math.trunc(v()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?Qe(l.image,this.config):{}:(this.state="run:gender",n=v(),A=this.config.face.gender.enabled?await Qe(l.image,this.config):{},this.perf.gender=Math.trunc(v()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?r1(l.image,this.config):{}:(this.state="run:emotion",n=v(),c=this.config.face.emotion.enabled?await r1(l.image,this.config):{},this.perf.emotion=Math.trunc(v()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?c1(l.image,this.config):{}:(this.state="run:embedding",n=v(),_=this.config.face.embedding.enabled?await c1(l.image,this.config):{},this.perf.embedding=Math.trunc(v()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((i=l==null?void 0:l.annotations)==null?void 0:i.leftEyeIris)&&((d=l==null?void 0:l.annotations)==null?void 0:d.rightEyeIris)&&(delete l.annotations.leftEyeIris,delete l.annotations.rightEyeIris);let Z=((w=l.annotations)==null?void 0:w.leftEyeIris)&&((s=l.annotations)==null?void 0:s.rightEyeIris)?11.7*Math.max(Math.abs(l.annotations.leftEyeIris[3][0]-l.annotations.leftEyeIris[1][0]),Math.abs(l.annotations.rightEyeIris[4][1]-l.annotations.rightEyeIris[2][1])):0;h.push({confidence:l.confidence,box:l.box,mesh:l.mesh,boxRaw:l.boxRaw,meshRaw:l.meshRaw,annotations:l.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:Z!==0?Math.trunc(Z)/100:0}),(m=l.image)==null||m.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async image(e,n={}){var A;this.state="image",this.config=ce(this.config,n);let r=M1(e,this.config);return(A=r==null?void 0:r.tensor)==null||A.dispose(),r==null?void 0:r.canvas}async detect(e,n={}){return new Promise(async r=>{var w,s,m,l;this.state="config";let A;this.config=ce(this.config,n),this.state="check";let c=this.sanity(e);c&&(u(c,e),r({error:c}));let _,h,x,o=v();await this.checkBackend(),await this.load(),this.config.scoped&&R.engine().startScope(),this.analyze("Start Scope:"),A=v();let i=M1(e,this.config);if(!i||!i.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(v()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(i.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=v(),x=this.config.face.enabled?await this.detectFace(i.tensor):[],this.perf.face=Math.trunc(v()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(w=this.models.posenet)==null?void 0:w.estimatePoses(i.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=v(),_=this.config.body.enabled?await((s=this.models.posenet)==null?void 0:s.estimatePoses(i.tensor,this.config)):[],this.perf.body=Math.trunc(v()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(m=this.models.handpose)==null?void 0:m.estimateHands(i.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=v(),h=this.config.hand.enabled?await((l=this.models.handpose)==null?void 0:l.estimateHands(i.tensor,this.config)):[],this.perf.hand=Math.trunc(v()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),i.tensor.dispose(),this.config.scoped&&R.engine().endScope(),this.analyze("End Scope:");let d=[];this.config.gesture.enabled&&(A=v(),d=[...v0(x),...T0(_),...R0(h),...P0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(v()-A)),this.perf.total=Math.trunc(v()-o),this.state="idle",r({face:x,body:_,hand:h,gesture:d,performance:this.perf,canvas:i.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(ze);break;case"full":n=await e(Me);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+ze;break;case"full":r=1200,n="data:image/jpeg;base64,"+Me;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(ze):e(Me),r=R.node.decodeJpeg(n),A=r.expandDims(0);R.dispose(r);let c=await this.detect(A,this.config);return R.dispose(A),c}async warmup(e){let n=v();e&&(this.config=ce(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=v();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}};export{N0 as default};
+2Q==`;var S0="0.20.1";var v=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function ce(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=ce(c,_):n[A]=_}),n),{})}var N0=class{constructor(e={}){this.tf=R,this.version=S0,this.config=ce(j0,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=W0,this.age=Ye,this.gender=Ue,this.emotion=$e,this.body=f1,this.hand=v1}profile(){return this.config.profile?He:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=R.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&u(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(R.ENV.flags.IS_NODE&&!(e instanceof R.Tensor))return"input must be a tensor";try{R.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?D1(e,n):0}async load(e=null){this.state="load";let n=v();e&&(this.config=ce(this.config,e)),this.firstRun&&(u(`version: ${this.version} TensorFlow/JS version: ${R.version_core}`),await this.checkBackend(!0),R.ENV.flags.IS_BROWSER&&(u("configuration:",this.config),u("tf flags:",R.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?Fe:W0;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Be(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Ge(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?n1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?A1(this.config):null),this.models.posenet||(this.config.body.enabled?p1(this.config):null),this.models.handpose||(this.config.hand.enabled?z1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Be(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Ge(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await n1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await A1(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await p1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await z1(this.config))),this.firstRun&&(u("tf engine state:",R.engine().state.numBytes,"bytes",R.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(v()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||R.getBackend()!==this.config.backend){let n=v();this.state="backend",u("setting backend:",this.config.backend),this.config.backend==="wasm"&&(u("settings wasm path:",this.config.wasmPath),R.setWasmPaths(this.config.wasmPath),await R.env().getAsync("WASM_HAS_SIMD_SUPPORT")||u("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&O1();try{await R.setBackend(this.config.backend)}catch(r){u("error: cannot set backend:",this.config.backend,r)}if(R.enableProdMode(),R.getBackend()==="webgl"){this.config.deallocate&&(u("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),R.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),R.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),R.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await R.backend().getGPGPUContext().gl;u(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await R.ready(),this.perf.backend=Math.trunc(v()-n)}}async detectFace(e){var o,i,d,w,s,m;let n,r,A,c,_,h=[];this.state="run:face",n=v();let x=await((o=this.models.face)==null?void 0:o.estimateFaces(e,this.config));this.perf.face=Math.trunc(v()-n);for(let l of x){if(this.analyze("Get Face"),!l.image||l.image.isDisposedInternal){u("Face object is disposed:",l.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?Je(l.image,this.config):{}:(this.state="run:age",n=v(),r=this.config.face.age.enabled?await Je(l.image,this.config):{},this.perf.age=Math.trunc(v()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?Qe(l.image,this.config):{}:(this.state="run:gender",n=v(),A=this.config.face.gender.enabled?await Qe(l.image,this.config):{},this.perf.gender=Math.trunc(v()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?r1(l.image,this.config):{}:(this.state="run:emotion",n=v(),c=this.config.face.emotion.enabled?await r1(l.image,this.config):{},this.perf.emotion=Math.trunc(v()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?c1(l.image,this.config):{}:(this.state="run:embedding",n=v(),_=this.config.face.embedding.enabled?await c1(l.image,this.config):{},this.perf.embedding=Math.trunc(v()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((i=l==null?void 0:l.annotations)==null?void 0:i.leftEyeIris)&&((d=l==null?void 0:l.annotations)==null?void 0:d.rightEyeIris)&&(delete l.annotations.leftEyeIris,delete l.annotations.rightEyeIris);let Z=((w=l.annotations)==null?void 0:w.leftEyeIris)&&((s=l.annotations)==null?void 0:s.rightEyeIris)?11.7*Math.max(Math.abs(l.annotations.leftEyeIris[3][0]-l.annotations.leftEyeIris[1][0]),Math.abs(l.annotations.rightEyeIris[4][1]-l.annotations.rightEyeIris[2][1])):0;h.push({confidence:l.confidence,box:l.box,mesh:l.mesh,boxRaw:l.boxRaw,meshRaw:l.meshRaw,annotations:l.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:Z!==0?Math.trunc(Z)/100:0}),(m=l.image)==null||m.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async image(e,n={}){var A;this.state="image",this.config=ce(this.config,n);let r=M1(e,this.config);return(A=r==null?void 0:r.tensor)==null||A.dispose(),r==null?void 0:r.canvas}async detect(e,n={}){return new Promise(async r=>{var w,s,m,l;this.state="config";let A;this.config=ce(this.config,n),this.state="check";let c=this.sanity(e);c&&(u(c,e),r({error:c}));let _,h,x,o=v();await this.checkBackend(),await this.load(),this.config.scoped&&R.engine().startScope(),this.analyze("Start Scope:"),A=v();let i=M1(e,this.config);if(!i||!i.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(v()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(i.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=v(),x=this.config.face.enabled?await this.detectFace(i.tensor):[],this.perf.face=Math.trunc(v()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(w=this.models.posenet)==null?void 0:w.estimatePoses(i.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=v(),_=this.config.body.enabled?await((s=this.models.posenet)==null?void 0:s.estimatePoses(i.tensor,this.config)):[],this.perf.body=Math.trunc(v()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(m=this.models.handpose)==null?void 0:m.estimateHands(i.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=v(),h=this.config.hand.enabled?await((l=this.models.handpose)==null?void 0:l.estimateHands(i.tensor,this.config)):[],this.perf.hand=Math.trunc(v()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),i.tensor.dispose(),this.config.scoped&&R.engine().endScope(),this.analyze("End Scope:");let d=[];this.config.gesture.enabled&&(A=v(),d=[...v0(x),...T0(_),...R0(h),...P0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(v()-A)),this.perf.total=Math.trunc(v()-o),this.state="idle",r({face:x,body:_,hand:h,gesture:d,performance:this.perf,canvas:i.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(ze);break;case"full":n=await e(Me);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+ze;break;case"full":r=1200,n="data:image/jpeg;base64,"+Me;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(ze):e(Me),r=R.node.decodeJpeg(n),A=r.expandDims(0);R.dispose(r);let c=await this.detect(A,this.config);return R.dispose(A),c}async warmup(e){let n=v();e&&(this.config=ce(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=v();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}};export{N0 as default};
 //# sourceMappingURL=human.esm-nobundle.js.map
diff --git a/dist/human.esm.js b/dist/human.esm.js
index c747d20c..892ffc4e 100644
--- a/dist/human.esm.js
+++ b/dist/human.esm.js
@@ -4771,7 +4771,7 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA
 BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2
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 lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
-2Q==`;var b6="0.11.5";var dt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Ol(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Ol(s,i):n[a]=i}),n),{})}var k6=class{constructor(t={}){this.tf=rh,this.version=b6,this.config=Ol(_6,t),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=v6,this.age=e2,this.gender=r2,this.emotion=u2,this.body=S2,this.hand=O2}profile(){return this.config.profile?Yy:{}}analyze(...t){if(!this.analyzeMemoryLeaks)return;let n=Pn().state.numTensors,r=this.numTensors;this.numTensors=n;let a=n-r;a!==0&&Te(...t,a)}sanity(t){if(!this.checkSanity)return null;if(!t)return"input is not defined";if(tn.flags.IS_NODE&&!(t instanceof Xe))return"input must be a tensor";try{Yh()}catch(n){return"backend not loaded"}return null}simmilarity(t,n){return this.config.face.embedding.enabled?Uv(t,n):0}async load(t=null){this.state="load";let n=dt();t&&(this.config=Ol(this.config,t)),this.firstRun&&(Te(`version: ${this.version} TensorFlow/JS version: ${n5}`),await this.checkBackend(!0),tn.flags.IS_BROWSER&&(Te("configuration:",this.config),Te("tf flags:",tn.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?Jy:v6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?t2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?o2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?d2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?f2(this.config):null),this.models.posenet||(this.config.body.enabled?E2(this.config):null),this.models.handpose||(this.config.hand.enabled?z2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await t2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await o2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await d2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await f2(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await E2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await z2(this.config))),this.firstRun&&(Te("tf engine state:",Pn().state.numBytes,"bytes",Pn().state.numTensors,"tensors"),this.firstRun=!1);let a=Math.trunc(dt()-n);a>(this.perf.load||0)&&(this.perf.load=a)}async checkBackend(t=!1){if(this.config.backend&&this.config.backend!==""&&t||Yh()!==this.config.backend){let n=dt();this.state="backend",Te("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Te("settings wasm path:",this.config.wasmPath),Wb(this.config.wasmPath),await Q().getAsync("WASM_HAS_SIMD_SUPPORT")||Te("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&Ev();try{await a5(this.config.backend)}catch(r){Te("error: cannot set backend:",this.config.backend,r)}if(r5(),Yh()==="webgl"){this.config.deallocate&&(Te("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),tn.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),tn.set("WEBGL_FORCE_F16_TEXTURES",!0),tn.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await sf().getGPGPUContext().gl;Te(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await s5(),this.perf.backend=Math.trunc(dt()-n)}}async detectFace(t){var c,u,h,p,d,f;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((c=this.models.face)==null?void 0:c.estimateFaces(t,this.config));this.perf.face=Math.trunc(dt()-n);for(let m of l){if(this.analyze("Get Face"),!m.image||m.image.isDisposedInternal){Te("Face object is disposed:",m.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?n2(m.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await n2(m.image,this.config):{},this.perf.age=Math.trunc(dt()-n)),this.analyze("Start Gender:"),this.config.async?a=this.config.face.gender.enabled?l2(m.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await l2(m.image,this.config):{},this.perf.gender=Math.trunc(dt()-n)),this.analyze("Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?p2(m.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await p2(m.image,this.config):{},this.perf.emotion=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?m2(m.image,this.config):{}:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await m2(m.image,this.config):{},this.perf.embedding=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((u=m==null?void 0:m.annotations)==null?void 0:u.leftEyeIris)&&((h=m==null?void 0:m.annotations)==null?void 0:h.rightEyeIris)&&(delete m.annotations.leftEyeIris,delete m.annotations.rightEyeIris);let A=((p=m.annotations)==null?void 0:p.leftEyeIris)&&((d=m.annotations)==null?void 0:d.rightEyeIris)?11.7*Math.max(Math.abs(m.annotations.leftEyeIris[3][0]-m.annotations.leftEyeIris[1][0]),Math.abs(m.annotations.rightEyeIris[4][1]-m.annotations.rightEyeIris[2][1])):0;o.push({confidence:m.confidence,box:m.box,mesh:m.mesh,boxRaw:m.boxRaw,meshRaw:m.meshRaw,annotations:m.annotations,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:A!==0?Math.trunc(A)/100:0}),(f=m.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),o}async image(t,n={}){var a;this.state="image",this.config=Ol(this.config,n);let r=P2(t,this.config);return(a=r==null?void 0:r.tensor)==null||a.dispose(),r==null?void 0:r.canvas}async detect(t,n={}){return new Promise(async r=>{var p,d,f,m;this.state="config";let a;this.config=Ol(this.config,n),this.state="check";let s=this.sanity(t);s&&(Te(s,t),r({error:s}));let i,o,l,c=dt();await this.checkBackend(),await this.load(),this.config.scoped&&Pn().startScope(),this.analyze("Start Scope:"),a=dt();let u=P2(t,this.config);if(!u||!u.tensor){Te("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(dt()-a),this.analyze("Get Image:"),this.config.async?(l=this.config.face.enabled?this.detectFace(u.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",a=dt(),l=this.config.face.enabled?await this.detectFace(u.tensor):[],this.perf.face=Math.trunc(dt()-a)),this.analyze("Start Body:"),this.config.async?(i=this.config.body.enabled?(p=this.models.posenet)==null?void 0:p.estimatePoses(u.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",a=dt(),i=this.config.body.enabled?await((d=this.models.posenet)==null?void 0:d.estimatePoses(u.tensor,this.config)):[],this.perf.body=Math.trunc(dt()-a)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(o=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(u.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",a=dt(),o=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(u.tensor,this.config)):[],this.perf.hand=Math.trunc(dt()-a)),this.analyze("End Hand:"),this.config.async&&([l,i,o]=await Promise.all([l,i,o])),u.tensor.dispose(),this.config.scoped&&Pn().endScope(),this.analyze("End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...m6(l),...f6(i),...y6(o),...A6(l)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(dt()-a)),this.perf.total=Math.trunc(dt()-c),this.state="idle",r({face:l,body:i,hand:o,gesture:h,performance:this.perf,canvas:u.canvas})})}async warmupBitmap(){let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(u0);break;case"full":n=await t(c0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r}async warmupCanvas(){return new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+u0;break;case"full":r=1200,n="data:image/jpeg;base64,"+c0;break;default:n=null}let a=new Image(r,r);a.onload=()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=r,s.height=r;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=i==null?void 0:i.getImageData(0,0,r,r);this.detect(o,this.config).then(l=>t(l))},n?a.src=n:t(null)})}async warmupNode(){let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(u0):t(c0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);Ne(r);let s=await this.detect(a,this.config);return Ne(a),s}async warmup(t){let n=dt();t&&(this.config=Ol(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await this.warmupBitmap():typeof Image!="undefined"?a=await this.warmupCanvas():a=await this.warmupNode(),this.config.videoOptimized=r;let s=dt();return Te("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};export{k6 as default};
+2Q==`;var b6="0.20.1";var dt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Ol(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Ol(s,i):n[a]=i}),n),{})}var k6=class{constructor(t={}){this.tf=rh,this.version=b6,this.config=Ol(_6,t),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=v6,this.age=e2,this.gender=r2,this.emotion=u2,this.body=S2,this.hand=O2}profile(){return this.config.profile?Yy:{}}analyze(...t){if(!this.analyzeMemoryLeaks)return;let n=Pn().state.numTensors,r=this.numTensors;this.numTensors=n;let a=n-r;a!==0&&Te(...t,a)}sanity(t){if(!this.checkSanity)return null;if(!t)return"input is not defined";if(tn.flags.IS_NODE&&!(t instanceof Xe))return"input must be a tensor";try{Yh()}catch(n){return"backend not loaded"}return null}simmilarity(t,n){return this.config.face.embedding.enabled?Uv(t,n):0}async load(t=null){this.state="load";let n=dt();t&&(this.config=Ol(this.config,t)),this.firstRun&&(Te(`version: ${this.version} TensorFlow/JS version: ${n5}`),await this.checkBackend(!0),tn.flags.IS_BROWSER&&(Te("configuration:",this.config),Te("tf flags:",tn.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?Jy:v6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?t2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?o2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?d2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?f2(this.config):null),this.models.posenet||(this.config.body.enabled?E2(this.config):null),this.models.handpose||(this.config.hand.enabled?z2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await t2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await o2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await d2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await f2(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await E2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await z2(this.config))),this.firstRun&&(Te("tf engine state:",Pn().state.numBytes,"bytes",Pn().state.numTensors,"tensors"),this.firstRun=!1);let a=Math.trunc(dt()-n);a>(this.perf.load||0)&&(this.perf.load=a)}async checkBackend(t=!1){if(this.config.backend&&this.config.backend!==""&&t||Yh()!==this.config.backend){let n=dt();this.state="backend",Te("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Te("settings wasm path:",this.config.wasmPath),Wb(this.config.wasmPath),await Q().getAsync("WASM_HAS_SIMD_SUPPORT")||Te("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&Ev();try{await a5(this.config.backend)}catch(r){Te("error: cannot set backend:",this.config.backend,r)}if(r5(),Yh()==="webgl"){this.config.deallocate&&(Te("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),tn.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),tn.set("WEBGL_FORCE_F16_TEXTURES",!0),tn.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await sf().getGPGPUContext().gl;Te(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await s5(),this.perf.backend=Math.trunc(dt()-n)}}async detectFace(t){var c,u,h,p,d,f;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((c=this.models.face)==null?void 0:c.estimateFaces(t,this.config));this.perf.face=Math.trunc(dt()-n);for(let m of l){if(this.analyze("Get Face"),!m.image||m.image.isDisposedInternal){Te("Face object is disposed:",m.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?n2(m.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await n2(m.image,this.config):{},this.perf.age=Math.trunc(dt()-n)),this.analyze("Start Gender:"),this.config.async?a=this.config.face.gender.enabled?l2(m.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await l2(m.image,this.config):{},this.perf.gender=Math.trunc(dt()-n)),this.analyze("Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?p2(m.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await p2(m.image,this.config):{},this.perf.emotion=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?m2(m.image,this.config):{}:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await m2(m.image,this.config):{},this.perf.embedding=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((u=m==null?void 0:m.annotations)==null?void 0:u.leftEyeIris)&&((h=m==null?void 0:m.annotations)==null?void 0:h.rightEyeIris)&&(delete m.annotations.leftEyeIris,delete m.annotations.rightEyeIris);let A=((p=m.annotations)==null?void 0:p.leftEyeIris)&&((d=m.annotations)==null?void 0:d.rightEyeIris)?11.7*Math.max(Math.abs(m.annotations.leftEyeIris[3][0]-m.annotations.leftEyeIris[1][0]),Math.abs(m.annotations.rightEyeIris[4][1]-m.annotations.rightEyeIris[2][1])):0;o.push({confidence:m.confidence,box:m.box,mesh:m.mesh,boxRaw:m.boxRaw,meshRaw:m.meshRaw,annotations:m.annotations,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:A!==0?Math.trunc(A)/100:0}),(f=m.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),o}async image(t,n={}){var a;this.state="image",this.config=Ol(this.config,n);let r=P2(t,this.config);return(a=r==null?void 0:r.tensor)==null||a.dispose(),r==null?void 0:r.canvas}async detect(t,n={}){return new Promise(async r=>{var p,d,f,m;this.state="config";let a;this.config=Ol(this.config,n),this.state="check";let s=this.sanity(t);s&&(Te(s,t),r({error:s}));let i,o,l,c=dt();await this.checkBackend(),await this.load(),this.config.scoped&&Pn().startScope(),this.analyze("Start Scope:"),a=dt();let u=P2(t,this.config);if(!u||!u.tensor){Te("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(dt()-a),this.analyze("Get Image:"),this.config.async?(l=this.config.face.enabled?this.detectFace(u.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",a=dt(),l=this.config.face.enabled?await this.detectFace(u.tensor):[],this.perf.face=Math.trunc(dt()-a)),this.analyze("Start Body:"),this.config.async?(i=this.config.body.enabled?(p=this.models.posenet)==null?void 0:p.estimatePoses(u.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",a=dt(),i=this.config.body.enabled?await((d=this.models.posenet)==null?void 0:d.estimatePoses(u.tensor,this.config)):[],this.perf.body=Math.trunc(dt()-a)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(o=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(u.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",a=dt(),o=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(u.tensor,this.config)):[],this.perf.hand=Math.trunc(dt()-a)),this.analyze("End Hand:"),this.config.async&&([l,i,o]=await Promise.all([l,i,o])),u.tensor.dispose(),this.config.scoped&&Pn().endScope(),this.analyze("End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...m6(l),...f6(i),...y6(o),...A6(l)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(dt()-a)),this.perf.total=Math.trunc(dt()-c),this.state="idle",r({face:l,body:i,hand:o,gesture:h,performance:this.perf,canvas:u.canvas})})}async warmupBitmap(){let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(u0);break;case"full":n=await t(c0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r}async warmupCanvas(){return new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+u0;break;case"full":r=1200,n="data:image/jpeg;base64,"+c0;break;default:n=null}let a=new Image(r,r);a.onload=()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=r,s.height=r;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=i==null?void 0:i.getImageData(0,0,r,r);this.detect(o,this.config).then(l=>t(l))},n?a.src=n:t(null)})}async warmupNode(){let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(u0):t(c0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);Ne(r);let s=await this.detect(a,this.config);return Ne(a),s}async warmup(t){let n=dt();t&&(this.config=Ol(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await this.warmupBitmap():typeof Image!="undefined"?a=await this.warmupCanvas():a=await this.warmupNode(),this.config.videoOptimized=r;let s=dt();return Te("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};export{k6 as default};
 /**
  * @license
  * Copyright 2017 Google LLC. All Rights Reserved.
diff --git a/dist/human.esm.json b/dist/human.esm.json
index 4e8169d2..e590cba0 100644
--- a/dist/human.esm.json
+++ b/dist/human.esm.json
@@ -417,7 +417,7 @@
       "imports": []
     },
     "package.json": {
-      "bytes": 2385,
+      "bytes": 2403,
       "imports": []
     },
     "src/human.ts": {
diff --git a/dist/human.node-gpu.js b/dist/human.node-gpu.js
index f08f0834..7d2b28a7 100644
--- a/dist/human.node-gpu.js
+++ b/dist/human.node-gpu.js
@@ -731,5 +731,5 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA
 BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2
 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
 lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
-2Q==`;var O0="0.11.5";var T=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Ae(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=Ae(c,_):n[A]=_}),n),{})}var Z0=class{constructor(e={}){this.tf=v,this.version=O0,this.config=Ae(j0,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=I0,this.age=Be,this.gender=Ke,this.emotion=e1,this.body=m1,this.hand=v1}profile(){return this.config.profile?Fe:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=v.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&u(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(v.ENV.flags.IS_NODE&&!(e instanceof v.Tensor))return"input must be a tensor";try{v.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?Q1(e,n):0}async load(e=null){this.state="load";let n=T();e&&(this.config=Ae(this.config,e)),this.firstRun&&(u(`version: ${this.version} TensorFlow/JS version: ${v.version_core}`),await this.checkBackend(!0),v.ENV.flags.IS_BROWSER&&(u("configuration:",this.config),u("tf flags:",v.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?qe:I0;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Je(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Qe(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?r1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?c1(this.config):null),this.models.posenet||(this.config.body.enabled?p1(this.config):null),this.models.handpose||(this.config.hand.enabled?M1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Je(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Qe(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await r1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await c1(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await p1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await M1(this.config))),this.firstRun&&(u("tf engine state:",v.engine().state.numBytes,"bytes",v.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(T()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||v.getBackend()!==this.config.backend){let n=T();this.state="backend",u("setting backend:",this.config.backend),this.config.backend==="wasm"&&(u("settings wasm path:",this.config.wasmPath),v.setWasmPaths(this.config.wasmPath),await v.env().getAsync("WASM_HAS_SIMD_SUPPORT")||u("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&V1();try{await v.setBackend(this.config.backend)}catch(r){u("error: cannot set backend:",this.config.backend,r)}if(v.enableProdMode(),v.getBackend()==="webgl"){this.config.deallocate&&(u("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),v.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),v.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),v.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await v.backend().getGPGPUContext().gl;u(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await v.ready(),this.perf.backend=Math.trunc(T()-n)}}async detectFace(e){var y,o,w,a,s,f;let n,r,A,c,_,h=[];this.state="run:face",n=T();let x=await((y=this.models.face)==null?void 0:y.estimateFaces(e,this.config));this.perf.face=Math.trunc(T()-n);for(let d of x){if(this.analyze("Get Face"),!d.image||d.image.isDisposedInternal){u("Face object is disposed:",d.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?Ue(d.image,this.config):{}:(this.state="run:age",n=T(),r=this.config.face.age.enabled?await Ue(d.image,this.config):{},this.perf.age=Math.trunc(T()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?$e(d.image,this.config):{}:(this.state="run:gender",n=T(),A=this.config.face.gender.enabled?await $e(d.image,this.config):{},this.perf.gender=Math.trunc(T()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?A1(d.image,this.config):{}:(this.state="run:emotion",n=T(),c=this.config.face.emotion.enabled?await A1(d.image,this.config):{},this.perf.emotion=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?_1(d.image,this.config):{}:(this.state="run:embedding",n=T(),_=this.config.face.embedding.enabled?await _1(d.image,this.config):{},this.perf.embedding=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((o=d==null?void 0:d.annotations)==null?void 0:o.leftEyeIris)&&((w=d==null?void 0:d.annotations)==null?void 0:w.rightEyeIris)&&(delete d.annotations.leftEyeIris,delete d.annotations.rightEyeIris);let I=((a=d.annotations)==null?void 0:a.leftEyeIris)&&((s=d.annotations)==null?void 0:s.rightEyeIris)?11.7*Math.max(Math.abs(d.annotations.leftEyeIris[3][0]-d.annotations.leftEyeIris[1][0]),Math.abs(d.annotations.rightEyeIris[4][1]-d.annotations.rightEyeIris[2][1])):0;h.push({confidence:d.confidence,box:d.box,mesh:d.mesh,boxRaw:d.boxRaw,meshRaw:d.meshRaw,annotations:d.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:I!==0?Math.trunc(I)/100:0}),(f=d.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async image(e,n={}){var A;this.state="image",this.config=Ae(this.config,n);let r=S1(e,this.config);return(A=r==null?void 0:r.tensor)==null||A.dispose(),r==null?void 0:r.canvas}async detect(e,n={}){return new Promise(async r=>{var a,s,f,d;this.state="config";let A;this.config=Ae(this.config,n),this.state="check";let c=this.sanity(e);c&&(u(c,e),r({error:c}));let _,h,x,y=T();await this.checkBackend(),await this.load(),this.config.scoped&&v.engine().startScope(),this.analyze("Start Scope:"),A=T();let o=S1(e,this.config);if(!o||!o.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(T()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(o.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=T(),x=this.config.face.enabled?await this.detectFace(o.tensor):[],this.perf.face=Math.trunc(T()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(a=this.models.posenet)==null?void 0:a.estimatePoses(o.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=T(),_=this.config.body.enabled?await((s=this.models.posenet)==null?void 0:s.estimatePoses(o.tensor,this.config)):[],this.perf.body=Math.trunc(T()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=T(),h=this.config.hand.enabled?await((d=this.models.handpose)==null?void 0:d.estimateHands(o.tensor,this.config)):[],this.perf.hand=Math.trunc(T()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),o.tensor.dispose(),this.config.scoped&&v.engine().endScope(),this.analyze("End Scope:");let w=[];this.config.gesture.enabled&&(A=T(),w=[...E0(x),...R0(_),...M0(h),...z0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(T()-A)),this.perf.total=Math.trunc(T()-y),this.state="idle",r({face:x,body:_,hand:h,gesture:w,performance:this.perf,canvas:o.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(Ee);break;case"full":n=await e(ze);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Ee;break;case"full":r=1200,n="data:image/jpeg;base64,"+ze;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Ee):e(ze),r=v.node.decodeJpeg(n),A=r.expandDims(0);v.dispose(r);let c=await this.detect(A,this.config);return v.dispose(A),c}async warmup(e){let n=T();e&&(this.config=Ae(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=T();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}};
+2Q==`;var O0="0.20.1";var T=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Ae(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=Ae(c,_):n[A]=_}),n),{})}var Z0=class{constructor(e={}){this.tf=v,this.version=O0,this.config=Ae(j0,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=I0,this.age=Be,this.gender=Ke,this.emotion=e1,this.body=m1,this.hand=v1}profile(){return this.config.profile?Fe:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=v.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&u(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(v.ENV.flags.IS_NODE&&!(e instanceof v.Tensor))return"input must be a tensor";try{v.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?Q1(e,n):0}async load(e=null){this.state="load";let n=T();e&&(this.config=Ae(this.config,e)),this.firstRun&&(u(`version: ${this.version} TensorFlow/JS version: ${v.version_core}`),await this.checkBackend(!0),v.ENV.flags.IS_BROWSER&&(u("configuration:",this.config),u("tf flags:",v.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?qe:I0;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Je(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Qe(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?r1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?c1(this.config):null),this.models.posenet||(this.config.body.enabled?p1(this.config):null),this.models.handpose||(this.config.hand.enabled?M1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Je(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Qe(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await r1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await c1(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await p1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await M1(this.config))),this.firstRun&&(u("tf engine state:",v.engine().state.numBytes,"bytes",v.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(T()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||v.getBackend()!==this.config.backend){let n=T();this.state="backend",u("setting backend:",this.config.backend),this.config.backend==="wasm"&&(u("settings wasm path:",this.config.wasmPath),v.setWasmPaths(this.config.wasmPath),await v.env().getAsync("WASM_HAS_SIMD_SUPPORT")||u("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&V1();try{await v.setBackend(this.config.backend)}catch(r){u("error: cannot set backend:",this.config.backend,r)}if(v.enableProdMode(),v.getBackend()==="webgl"){this.config.deallocate&&(u("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),v.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),v.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),v.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await v.backend().getGPGPUContext().gl;u(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await v.ready(),this.perf.backend=Math.trunc(T()-n)}}async detectFace(e){var y,o,w,a,s,f;let n,r,A,c,_,h=[];this.state="run:face",n=T();let x=await((y=this.models.face)==null?void 0:y.estimateFaces(e,this.config));this.perf.face=Math.trunc(T()-n);for(let d of x){if(this.analyze("Get Face"),!d.image||d.image.isDisposedInternal){u("Face object is disposed:",d.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?Ue(d.image,this.config):{}:(this.state="run:age",n=T(),r=this.config.face.age.enabled?await Ue(d.image,this.config):{},this.perf.age=Math.trunc(T()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?$e(d.image,this.config):{}:(this.state="run:gender",n=T(),A=this.config.face.gender.enabled?await $e(d.image,this.config):{},this.perf.gender=Math.trunc(T()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?A1(d.image,this.config):{}:(this.state="run:emotion",n=T(),c=this.config.face.emotion.enabled?await A1(d.image,this.config):{},this.perf.emotion=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?_1(d.image,this.config):{}:(this.state="run:embedding",n=T(),_=this.config.face.embedding.enabled?await _1(d.image,this.config):{},this.perf.embedding=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((o=d==null?void 0:d.annotations)==null?void 0:o.leftEyeIris)&&((w=d==null?void 0:d.annotations)==null?void 0:w.rightEyeIris)&&(delete d.annotations.leftEyeIris,delete d.annotations.rightEyeIris);let I=((a=d.annotations)==null?void 0:a.leftEyeIris)&&((s=d.annotations)==null?void 0:s.rightEyeIris)?11.7*Math.max(Math.abs(d.annotations.leftEyeIris[3][0]-d.annotations.leftEyeIris[1][0]),Math.abs(d.annotations.rightEyeIris[4][1]-d.annotations.rightEyeIris[2][1])):0;h.push({confidence:d.confidence,box:d.box,mesh:d.mesh,boxRaw:d.boxRaw,meshRaw:d.meshRaw,annotations:d.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:I!==0?Math.trunc(I)/100:0}),(f=d.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async image(e,n={}){var A;this.state="image",this.config=Ae(this.config,n);let r=S1(e,this.config);return(A=r==null?void 0:r.tensor)==null||A.dispose(),r==null?void 0:r.canvas}async detect(e,n={}){return new Promise(async r=>{var a,s,f,d;this.state="config";let A;this.config=Ae(this.config,n),this.state="check";let c=this.sanity(e);c&&(u(c,e),r({error:c}));let _,h,x,y=T();await this.checkBackend(),await this.load(),this.config.scoped&&v.engine().startScope(),this.analyze("Start Scope:"),A=T();let o=S1(e,this.config);if(!o||!o.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(T()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(o.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=T(),x=this.config.face.enabled?await this.detectFace(o.tensor):[],this.perf.face=Math.trunc(T()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(a=this.models.posenet)==null?void 0:a.estimatePoses(o.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=T(),_=this.config.body.enabled?await((s=this.models.posenet)==null?void 0:s.estimatePoses(o.tensor,this.config)):[],this.perf.body=Math.trunc(T()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=T(),h=this.config.hand.enabled?await((d=this.models.handpose)==null?void 0:d.estimateHands(o.tensor,this.config)):[],this.perf.hand=Math.trunc(T()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),o.tensor.dispose(),this.config.scoped&&v.engine().endScope(),this.analyze("End Scope:");let w=[];this.config.gesture.enabled&&(A=T(),w=[...E0(x),...R0(_),...M0(h),...z0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(T()-A)),this.perf.total=Math.trunc(T()-y),this.state="idle",r({face:x,body:_,hand:h,gesture:w,performance:this.perf,canvas:o.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(Ee);break;case"full":n=await e(ze);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Ee;break;case"full":r=1200,n="data:image/jpeg;base64,"+ze;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Ee):e(ze),r=v.node.decodeJpeg(n),A=r.expandDims(0);v.dispose(r);let c=await this.detect(A,this.config);return v.dispose(A),c}async warmup(e){let n=T();e&&(this.config=Ae(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=T();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}};
 //# sourceMappingURL=human.node-gpu.js.map
diff --git a/dist/human.node.js b/dist/human.node.js
index d65deb58..ce58e3f3 100644
--- a/dist/human.node.js
+++ b/dist/human.node.js
@@ -731,5 +731,5 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA
 BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2
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 lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
-2Q==`;var O0="0.11.5";var T=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Ae(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=Ae(c,_):n[A]=_}),n),{})}var Z0=class{constructor(e={}){this.tf=v,this.version=O0,this.config=Ae(j0,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=I0,this.age=Be,this.gender=Ke,this.emotion=e1,this.body=m1,this.hand=v1}profile(){return this.config.profile?Fe:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=v.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&u(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(v.ENV.flags.IS_NODE&&!(e instanceof v.Tensor))return"input must be a tensor";try{v.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?Q1(e,n):0}async load(e=null){this.state="load";let n=T();e&&(this.config=Ae(this.config,e)),this.firstRun&&(u(`version: ${this.version} TensorFlow/JS version: ${v.version_core}`),await this.checkBackend(!0),v.ENV.flags.IS_BROWSER&&(u("configuration:",this.config),u("tf flags:",v.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?qe:I0;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Je(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Qe(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?r1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?c1(this.config):null),this.models.posenet||(this.config.body.enabled?p1(this.config):null),this.models.handpose||(this.config.hand.enabled?M1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Je(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Qe(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await r1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await c1(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await p1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await M1(this.config))),this.firstRun&&(u("tf engine state:",v.engine().state.numBytes,"bytes",v.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(T()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||v.getBackend()!==this.config.backend){let n=T();this.state="backend",u("setting backend:",this.config.backend),this.config.backend==="wasm"&&(u("settings wasm path:",this.config.wasmPath),v.setWasmPaths(this.config.wasmPath),await v.env().getAsync("WASM_HAS_SIMD_SUPPORT")||u("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&V1();try{await v.setBackend(this.config.backend)}catch(r){u("error: cannot set backend:",this.config.backend,r)}if(v.enableProdMode(),v.getBackend()==="webgl"){this.config.deallocate&&(u("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),v.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),v.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),v.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await v.backend().getGPGPUContext().gl;u(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await v.ready(),this.perf.backend=Math.trunc(T()-n)}}async detectFace(e){var y,o,w,a,s,f;let n,r,A,c,_,h=[];this.state="run:face",n=T();let x=await((y=this.models.face)==null?void 0:y.estimateFaces(e,this.config));this.perf.face=Math.trunc(T()-n);for(let d of x){if(this.analyze("Get Face"),!d.image||d.image.isDisposedInternal){u("Face object is disposed:",d.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?Ue(d.image,this.config):{}:(this.state="run:age",n=T(),r=this.config.face.age.enabled?await Ue(d.image,this.config):{},this.perf.age=Math.trunc(T()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?$e(d.image,this.config):{}:(this.state="run:gender",n=T(),A=this.config.face.gender.enabled?await $e(d.image,this.config):{},this.perf.gender=Math.trunc(T()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?A1(d.image,this.config):{}:(this.state="run:emotion",n=T(),c=this.config.face.emotion.enabled?await A1(d.image,this.config):{},this.perf.emotion=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?_1(d.image,this.config):{}:(this.state="run:embedding",n=T(),_=this.config.face.embedding.enabled?await _1(d.image,this.config):{},this.perf.embedding=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((o=d==null?void 0:d.annotations)==null?void 0:o.leftEyeIris)&&((w=d==null?void 0:d.annotations)==null?void 0:w.rightEyeIris)&&(delete d.annotations.leftEyeIris,delete d.annotations.rightEyeIris);let I=((a=d.annotations)==null?void 0:a.leftEyeIris)&&((s=d.annotations)==null?void 0:s.rightEyeIris)?11.7*Math.max(Math.abs(d.annotations.leftEyeIris[3][0]-d.annotations.leftEyeIris[1][0]),Math.abs(d.annotations.rightEyeIris[4][1]-d.annotations.rightEyeIris[2][1])):0;h.push({confidence:d.confidence,box:d.box,mesh:d.mesh,boxRaw:d.boxRaw,meshRaw:d.meshRaw,annotations:d.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:I!==0?Math.trunc(I)/100:0}),(f=d.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async image(e,n={}){var A;this.state="image",this.config=Ae(this.config,n);let r=S1(e,this.config);return(A=r==null?void 0:r.tensor)==null||A.dispose(),r==null?void 0:r.canvas}async detect(e,n={}){return new Promise(async r=>{var a,s,f,d;this.state="config";let A;this.config=Ae(this.config,n),this.state="check";let c=this.sanity(e);c&&(u(c,e),r({error:c}));let _,h,x,y=T();await this.checkBackend(),await this.load(),this.config.scoped&&v.engine().startScope(),this.analyze("Start Scope:"),A=T();let o=S1(e,this.config);if(!o||!o.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(T()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(o.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=T(),x=this.config.face.enabled?await this.detectFace(o.tensor):[],this.perf.face=Math.trunc(T()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(a=this.models.posenet)==null?void 0:a.estimatePoses(o.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=T(),_=this.config.body.enabled?await((s=this.models.posenet)==null?void 0:s.estimatePoses(o.tensor,this.config)):[],this.perf.body=Math.trunc(T()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=T(),h=this.config.hand.enabled?await((d=this.models.handpose)==null?void 0:d.estimateHands(o.tensor,this.config)):[],this.perf.hand=Math.trunc(T()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),o.tensor.dispose(),this.config.scoped&&v.engine().endScope(),this.analyze("End Scope:");let w=[];this.config.gesture.enabled&&(A=T(),w=[...E0(x),...R0(_),...M0(h),...z0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(T()-A)),this.perf.total=Math.trunc(T()-y),this.state="idle",r({face:x,body:_,hand:h,gesture:w,performance:this.perf,canvas:o.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(Ee);break;case"full":n=await e(ze);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Ee;break;case"full":r=1200,n="data:image/jpeg;base64,"+ze;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Ee):e(ze),r=v.node.decodeJpeg(n),A=r.expandDims(0);v.dispose(r);let c=await this.detect(A,this.config);return v.dispose(A),c}async warmup(e){let n=T();e&&(this.config=Ae(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=T();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}};
+2Q==`;var O0="0.20.1";var T=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Ae(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=Ae(c,_):n[A]=_}),n),{})}var Z0=class{constructor(e={}){this.tf=v,this.version=O0,this.config=Ae(j0,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=I0,this.age=Be,this.gender=Ke,this.emotion=e1,this.body=m1,this.hand=v1}profile(){return this.config.profile?Fe:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=v.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&u(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(v.ENV.flags.IS_NODE&&!(e instanceof v.Tensor))return"input must be a tensor";try{v.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?Q1(e,n):0}async load(e=null){this.state="load";let n=T();e&&(this.config=Ae(this.config,e)),this.firstRun&&(u(`version: ${this.version} TensorFlow/JS version: ${v.version_core}`),await this.checkBackend(!0),v.ENV.flags.IS_BROWSER&&(u("configuration:",this.config),u("tf flags:",v.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?qe:I0;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Je(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Qe(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?r1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?c1(this.config):null),this.models.posenet||(this.config.body.enabled?p1(this.config):null),this.models.handpose||(this.config.hand.enabled?M1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Je(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Qe(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await r1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await c1(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await p1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await M1(this.config))),this.firstRun&&(u("tf engine state:",v.engine().state.numBytes,"bytes",v.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(T()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||v.getBackend()!==this.config.backend){let n=T();this.state="backend",u("setting backend:",this.config.backend),this.config.backend==="wasm"&&(u("settings wasm path:",this.config.wasmPath),v.setWasmPaths(this.config.wasmPath),await v.env().getAsync("WASM_HAS_SIMD_SUPPORT")||u("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&V1();try{await v.setBackend(this.config.backend)}catch(r){u("error: cannot set backend:",this.config.backend,r)}if(v.enableProdMode(),v.getBackend()==="webgl"){this.config.deallocate&&(u("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),v.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),v.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),v.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await v.backend().getGPGPUContext().gl;u(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await v.ready(),this.perf.backend=Math.trunc(T()-n)}}async detectFace(e){var y,o,w,a,s,f;let n,r,A,c,_,h=[];this.state="run:face",n=T();let x=await((y=this.models.face)==null?void 0:y.estimateFaces(e,this.config));this.perf.face=Math.trunc(T()-n);for(let d of x){if(this.analyze("Get Face"),!d.image||d.image.isDisposedInternal){u("Face object is disposed:",d.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?Ue(d.image,this.config):{}:(this.state="run:age",n=T(),r=this.config.face.age.enabled?await Ue(d.image,this.config):{},this.perf.age=Math.trunc(T()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?$e(d.image,this.config):{}:(this.state="run:gender",n=T(),A=this.config.face.gender.enabled?await $e(d.image,this.config):{},this.perf.gender=Math.trunc(T()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?A1(d.image,this.config):{}:(this.state="run:emotion",n=T(),c=this.config.face.emotion.enabled?await A1(d.image,this.config):{},this.perf.emotion=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?_1(d.image,this.config):{}:(this.state="run:embedding",n=T(),_=this.config.face.embedding.enabled?await _1(d.image,this.config):{},this.perf.embedding=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((o=d==null?void 0:d.annotations)==null?void 0:o.leftEyeIris)&&((w=d==null?void 0:d.annotations)==null?void 0:w.rightEyeIris)&&(delete d.annotations.leftEyeIris,delete d.annotations.rightEyeIris);let I=((a=d.annotations)==null?void 0:a.leftEyeIris)&&((s=d.annotations)==null?void 0:s.rightEyeIris)?11.7*Math.max(Math.abs(d.annotations.leftEyeIris[3][0]-d.annotations.leftEyeIris[1][0]),Math.abs(d.annotations.rightEyeIris[4][1]-d.annotations.rightEyeIris[2][1])):0;h.push({confidence:d.confidence,box:d.box,mesh:d.mesh,boxRaw:d.boxRaw,meshRaw:d.meshRaw,annotations:d.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:I!==0?Math.trunc(I)/100:0}),(f=d.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async image(e,n={}){var A;this.state="image",this.config=Ae(this.config,n);let r=S1(e,this.config);return(A=r==null?void 0:r.tensor)==null||A.dispose(),r==null?void 0:r.canvas}async detect(e,n={}){return new Promise(async r=>{var a,s,f,d;this.state="config";let A;this.config=Ae(this.config,n),this.state="check";let c=this.sanity(e);c&&(u(c,e),r({error:c}));let _,h,x,y=T();await this.checkBackend(),await this.load(),this.config.scoped&&v.engine().startScope(),this.analyze("Start Scope:"),A=T();let o=S1(e,this.config);if(!o||!o.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(T()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(o.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=T(),x=this.config.face.enabled?await this.detectFace(o.tensor):[],this.perf.face=Math.trunc(T()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(a=this.models.posenet)==null?void 0:a.estimatePoses(o.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=T(),_=this.config.body.enabled?await((s=this.models.posenet)==null?void 0:s.estimatePoses(o.tensor,this.config)):[],this.perf.body=Math.trunc(T()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=T(),h=this.config.hand.enabled?await((d=this.models.handpose)==null?void 0:d.estimateHands(o.tensor,this.config)):[],this.perf.hand=Math.trunc(T()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),o.tensor.dispose(),this.config.scoped&&v.engine().endScope(),this.analyze("End Scope:");let w=[];this.config.gesture.enabled&&(A=T(),w=[...E0(x),...R0(_),...M0(h),...z0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(T()-A)),this.perf.total=Math.trunc(T()-y),this.state="idle",r({face:x,body:_,hand:h,gesture:w,performance:this.perf,canvas:o.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(Ee);break;case"full":n=await e(ze);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Ee;break;case"full":r=1200,n="data:image/jpeg;base64,"+ze;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Ee):e(ze),r=v.node.decodeJpeg(n),A=r.expandDims(0);v.dispose(r);let c=await this.detect(A,this.config);return v.dispose(A),c}async warmup(e){let n=T();e&&(this.config=Ae(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=T();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}};
 //# sourceMappingURL=human.node.js.map
diff --git a/dist/human.node.json b/dist/human.node.json
index 8ea7cdca..ac6fedb7 100644
--- a/dist/human.node.json
+++ b/dist/human.node.json
@@ -417,7 +417,7 @@
       "imports": []
     },
     "package.json": {
-      "bytes": 2385,
+      "bytes": 2403,
       "imports": []
     },
     "src/human.ts": {
diff --git a/dist/human.ts b/dist/human.ts
index ad02dbd2..ac9a3e20 100644
--- a/dist/human.ts
+++ b/dist/human.ts
@@ -4771,7 +4771,7 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA
 BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2
 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
 lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
-2Q==`;var v6="0.11.5";var dt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Ol(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Ol(s,i):n[a]=i}),n),{})}var L2=class{constructor(t={}){this.tf=rh,this.version=v6,this.config=Ol(b6,t),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=k6,this.age=e2,this.gender=r2,this.emotion=u2,this.body=S2,this.hand=O2}profile(){return this.config.profile?Yy:{}}analyze(...t){if(!this.analyzeMemoryLeaks)return;let n=Pn().state.numTensors,r=this.numTensors;this.numTensors=n;let a=n-r;a!==0&&Te(...t,a)}sanity(t){if(!this.checkSanity)return null;if(!t)return"input is not defined";if(tn.flags.IS_NODE&&!(t instanceof Xe))return"input must be a tensor";try{Yh()}catch(n){return"backend not loaded"}return null}simmilarity(t,n){return this.config.face.embedding.enabled?jv(t,n):0}async load(t=null){this.state="load";let n=dt();t&&(this.config=Ol(this.config,t)),this.firstRun&&(Te(`version: ${this.version} TensorFlow/JS version: ${r5}`),await this.checkBackend(!0),tn.flags.IS_BROWSER&&(Te("configuration:",this.config),Te("tf flags:",tn.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?Jy:k6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?t2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?o2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?d2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?f2(this.config):null),this.models.posenet||(this.config.body.enabled?E2(this.config):null),this.models.handpose||(this.config.hand.enabled?z2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await t2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await o2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await d2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await f2(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await E2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await z2(this.config))),this.firstRun&&(Te("tf engine state:",Pn().state.numBytes,"bytes",Pn().state.numTensors,"tensors"),this.firstRun=!1);let a=Math.trunc(dt()-n);a>(this.perf.load||0)&&(this.perf.load=a)}async checkBackend(t=!1){if(this.config.backend&&this.config.backend!==""&&t||Yh()!==this.config.backend){let n=dt();this.state="backend",Te("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Te("settings wasm path:",this.config.wasmPath),Bb(this.config.wasmPath),await Q().getAsync("WASM_HAS_SIMD_SUPPORT")||Te("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&Cv();try{await s5(this.config.backend)}catch(r){Te("error: cannot set backend:",this.config.backend,r)}if(a5(),Yh()==="webgl"){this.config.deallocate&&(Te("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),tn.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),tn.set("WEBGL_FORCE_F16_TEXTURES",!0),tn.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await sf().getGPGPUContext().gl;Te(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await i5(),this.perf.backend=Math.trunc(dt()-n)}}async detectFace(t){var c,u,h,p,d,f;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((c=this.models.face)==null?void 0:c.estimateFaces(t,this.config));this.perf.face=Math.trunc(dt()-n);for(let m of l){if(this.analyze("Get Face"),!m.image||m.image.isDisposedInternal){Te("Face object is disposed:",m.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?n2(m.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await n2(m.image,this.config):{},this.perf.age=Math.trunc(dt()-n)),this.analyze("Start Gender:"),this.config.async?a=this.config.face.gender.enabled?l2(m.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await l2(m.image,this.config):{},this.perf.gender=Math.trunc(dt()-n)),this.analyze("Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?p2(m.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await p2(m.image,this.config):{},this.perf.emotion=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?m2(m.image,this.config):{}:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await m2(m.image,this.config):{},this.perf.embedding=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((u=m==null?void 0:m.annotations)==null?void 0:u.leftEyeIris)&&((h=m==null?void 0:m.annotations)==null?void 0:h.rightEyeIris)&&(delete m.annotations.leftEyeIris,delete m.annotations.rightEyeIris);let A=((p=m.annotations)==null?void 0:p.leftEyeIris)&&((d=m.annotations)==null?void 0:d.rightEyeIris)?11.7*Math.max(Math.abs(m.annotations.leftEyeIris[3][0]-m.annotations.leftEyeIris[1][0]),Math.abs(m.annotations.rightEyeIris[4][1]-m.annotations.rightEyeIris[2][1])):0;o.push({confidence:m.confidence,box:m.box,mesh:m.mesh,boxRaw:m.boxRaw,meshRaw:m.meshRaw,annotations:m.annotations,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:A!==0?Math.trunc(A)/100:0}),(f=m.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),o}async image(t,n={}){var a;this.state="image",this.config=Ol(this.config,n);let r=P2(t,this.config);return(a=r==null?void 0:r.tensor)==null||a.dispose(),r==null?void 0:r.canvas}async detect(t,n={}){return new Promise(async r=>{var p,d,f,m;this.state="config";let a;this.config=Ol(this.config,n),this.state="check";let s=this.sanity(t);s&&(Te(s,t),r({error:s}));let i,o,l,c=dt();await this.checkBackend(),await this.load(),this.config.scoped&&Pn().startScope(),this.analyze("Start Scope:"),a=dt();let u=P2(t,this.config);if(!u||!u.tensor){Te("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(dt()-a),this.analyze("Get Image:"),this.config.async?(l=this.config.face.enabled?this.detectFace(u.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",a=dt(),l=this.config.face.enabled?await this.detectFace(u.tensor):[],this.perf.face=Math.trunc(dt()-a)),this.analyze("Start Body:"),this.config.async?(i=this.config.body.enabled?(p=this.models.posenet)==null?void 0:p.estimatePoses(u.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",a=dt(),i=this.config.body.enabled?await((d=this.models.posenet)==null?void 0:d.estimatePoses(u.tensor,this.config)):[],this.perf.body=Math.trunc(dt()-a)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(o=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(u.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",a=dt(),o=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(u.tensor,this.config)):[],this.perf.hand=Math.trunc(dt()-a)),this.analyze("End Hand:"),this.config.async&&([l,i,o]=await Promise.all([l,i,o])),u.tensor.dispose(),this.config.scoped&&Pn().endScope(),this.analyze("End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...A6(l),...m6(i),...g6(o),...y6(l)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(dt()-a)),this.perf.total=Math.trunc(dt()-c),this.state="idle",r({face:l,body:i,hand:o,gesture:h,performance:this.perf,canvas:u.canvas})})}async warmupBitmap(){let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(u0);break;case"full":n=await t(c0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r}async warmupCanvas(){return new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+u0;break;case"full":r=1200,n="data:image/jpeg;base64,"+c0;break;default:n=null}let a=new Image(r,r);a.onload=()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=r,s.height=r;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=i==null?void 0:i.getImageData(0,0,r,r);this.detect(o,this.config).then(l=>t(l))},n?a.src=n:t(null)})}async warmupNode(){let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(u0):t(c0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);Ne(r);let s=await this.detect(a,this.config);return Ne(a),s}async warmup(t){let n=dt();t&&(this.config=Ol(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await this.warmupBitmap():typeof Image!="undefined"?a=await this.warmupCanvas():a=await this.warmupNode(),this.config.videoOptimized=r;let s=dt();return Te("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};return mae;})();
+2Q==`;var v6="0.20.1";var dt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Ol(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Ol(s,i):n[a]=i}),n),{})}var L2=class{constructor(t={}){this.tf=rh,this.version=v6,this.config=Ol(b6,t),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=k6,this.age=e2,this.gender=r2,this.emotion=u2,this.body=S2,this.hand=O2}profile(){return this.config.profile?Yy:{}}analyze(...t){if(!this.analyzeMemoryLeaks)return;let n=Pn().state.numTensors,r=this.numTensors;this.numTensors=n;let a=n-r;a!==0&&Te(...t,a)}sanity(t){if(!this.checkSanity)return null;if(!t)return"input is not defined";if(tn.flags.IS_NODE&&!(t instanceof Xe))return"input must be a tensor";try{Yh()}catch(n){return"backend not loaded"}return null}simmilarity(t,n){return this.config.face.embedding.enabled?jv(t,n):0}async load(t=null){this.state="load";let n=dt();t&&(this.config=Ol(this.config,t)),this.firstRun&&(Te(`version: ${this.version} TensorFlow/JS version: ${r5}`),await this.checkBackend(!0),tn.flags.IS_BROWSER&&(Te("configuration:",this.config),Te("tf flags:",tn.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?Jy:k6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?t2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?o2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?d2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?f2(this.config):null),this.models.posenet||(this.config.body.enabled?E2(this.config):null),this.models.handpose||(this.config.hand.enabled?z2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await t2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await o2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await d2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await f2(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await E2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await z2(this.config))),this.firstRun&&(Te("tf engine state:",Pn().state.numBytes,"bytes",Pn().state.numTensors,"tensors"),this.firstRun=!1);let a=Math.trunc(dt()-n);a>(this.perf.load||0)&&(this.perf.load=a)}async checkBackend(t=!1){if(this.config.backend&&this.config.backend!==""&&t||Yh()!==this.config.backend){let n=dt();this.state="backend",Te("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Te("settings wasm path:",this.config.wasmPath),Bb(this.config.wasmPath),await Q().getAsync("WASM_HAS_SIMD_SUPPORT")||Te("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&Cv();try{await s5(this.config.backend)}catch(r){Te("error: cannot set backend:",this.config.backend,r)}if(a5(),Yh()==="webgl"){this.config.deallocate&&(Te("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),tn.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),tn.set("WEBGL_FORCE_F16_TEXTURES",!0),tn.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await sf().getGPGPUContext().gl;Te(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await i5(),this.perf.backend=Math.trunc(dt()-n)}}async detectFace(t){var c,u,h,p,d,f;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((c=this.models.face)==null?void 0:c.estimateFaces(t,this.config));this.perf.face=Math.trunc(dt()-n);for(let m of l){if(this.analyze("Get Face"),!m.image||m.image.isDisposedInternal){Te("Face object is disposed:",m.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?n2(m.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await n2(m.image,this.config):{},this.perf.age=Math.trunc(dt()-n)),this.analyze("Start Gender:"),this.config.async?a=this.config.face.gender.enabled?l2(m.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await l2(m.image,this.config):{},this.perf.gender=Math.trunc(dt()-n)),this.analyze("Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?p2(m.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await p2(m.image,this.config):{},this.perf.emotion=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?m2(m.image,this.config):{}:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await m2(m.image,this.config):{},this.perf.embedding=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((u=m==null?void 0:m.annotations)==null?void 0:u.leftEyeIris)&&((h=m==null?void 0:m.annotations)==null?void 0:h.rightEyeIris)&&(delete m.annotations.leftEyeIris,delete m.annotations.rightEyeIris);let A=((p=m.annotations)==null?void 0:p.leftEyeIris)&&((d=m.annotations)==null?void 0:d.rightEyeIris)?11.7*Math.max(Math.abs(m.annotations.leftEyeIris[3][0]-m.annotations.leftEyeIris[1][0]),Math.abs(m.annotations.rightEyeIris[4][1]-m.annotations.rightEyeIris[2][1])):0;o.push({confidence:m.confidence,box:m.box,mesh:m.mesh,boxRaw:m.boxRaw,meshRaw:m.meshRaw,annotations:m.annotations,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:A!==0?Math.trunc(A)/100:0}),(f=m.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),o}async image(t,n={}){var a;this.state="image",this.config=Ol(this.config,n);let r=P2(t,this.config);return(a=r==null?void 0:r.tensor)==null||a.dispose(),r==null?void 0:r.canvas}async detect(t,n={}){return new Promise(async r=>{var p,d,f,m;this.state="config";let a;this.config=Ol(this.config,n),this.state="check";let s=this.sanity(t);s&&(Te(s,t),r({error:s}));let i,o,l,c=dt();await this.checkBackend(),await this.load(),this.config.scoped&&Pn().startScope(),this.analyze("Start Scope:"),a=dt();let u=P2(t,this.config);if(!u||!u.tensor){Te("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(dt()-a),this.analyze("Get Image:"),this.config.async?(l=this.config.face.enabled?this.detectFace(u.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",a=dt(),l=this.config.face.enabled?await this.detectFace(u.tensor):[],this.perf.face=Math.trunc(dt()-a)),this.analyze("Start Body:"),this.config.async?(i=this.config.body.enabled?(p=this.models.posenet)==null?void 0:p.estimatePoses(u.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",a=dt(),i=this.config.body.enabled?await((d=this.models.posenet)==null?void 0:d.estimatePoses(u.tensor,this.config)):[],this.perf.body=Math.trunc(dt()-a)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(o=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(u.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",a=dt(),o=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(u.tensor,this.config)):[],this.perf.hand=Math.trunc(dt()-a)),this.analyze("End Hand:"),this.config.async&&([l,i,o]=await Promise.all([l,i,o])),u.tensor.dispose(),this.config.scoped&&Pn().endScope(),this.analyze("End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...A6(l),...m6(i),...g6(o),...y6(l)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(dt()-a)),this.perf.total=Math.trunc(dt()-c),this.state="idle",r({face:l,body:i,hand:o,gesture:h,performance:this.perf,canvas:u.canvas})})}async warmupBitmap(){let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(u0);break;case"full":n=await t(c0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r}async warmupCanvas(){return new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+u0;break;case"full":r=1200,n="data:image/jpeg;base64,"+c0;break;default:n=null}let a=new Image(r,r);a.onload=()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=r,s.height=r;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=i==null?void 0:i.getImageData(0,0,r,r);this.detect(o,this.config).then(l=>t(l))},n?a.src=n:t(null)})}async warmupNode(){let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(u0):t(c0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);Ne(r);let s=await this.detect(a,this.config);return Ne(a),s}async warmup(t){let n=dt();t&&(this.config=Ol(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await this.warmupBitmap():typeof Image!="undefined"?a=await this.warmupCanvas():a=await this.warmupNode(),this.config.videoOptimized=r;let s=dt();return Te("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};return mae;})();
 /**
  * @license
  * Copyright 2017 Google LLC. All Rights Reserved.
diff --git a/dist/human.tson b/dist/human.tson
index 0fd2fdc3..7addeb19 100644
--- a/dist/human.tson
+++ b/dist/human.tson
@@ -417,7 +417,7 @@
       "imports": []
     },
     "package.json": {
-      "bytes": 2385,
+      "bytes": 2403,
       "imports": []
     },
     "src/human.ts": {
diff --git a/dist/tfjs.esm.js b/dist/tfjs.esm.js
index 29195f2c..4f578cbc 100644
--- a/dist/tfjs.esm.js
+++ b/dist/tfjs.esm.js
@@ -5,4219 +5,5 @@
   author: <https://github.com/vladmandic>'
   */
 
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Reusing existing backend factory.`),!1):(this.registryFactory[e]={factory:t,priority:n},!0)}async setBackend(e){if(this.registryFactory[e]==null)throw new Error(`Backend name '${e}' not found in registry`);if(this.backendName=e,this.registry[e]==null){this.backendInstance=null;let{success:t,asyncInit:n}=this.initializeBackend(e);if(!(n?await t:t))return!1}return this.backendInstance=this.registry[e],this.setupRegisteredKernels(),this.profiler=new Bb(this.backendInstance),!0}setupRegisteredKernels(){_m(this.backendName).forEach(t=>{t.setupFunc!=null&&t.setupFunc(this.backendInstance)})}disposeRegisteredKernels(e){_m(e).forEach(n=>{n.disposeFunc!=null&&n.disposeFunc(this.registry[e])})}initializeBackend(e){let t=this.registryFactory[e];if(t==null)throw new Error(`Cannot initialize backend ${e}, no registration found.`);try{let n=t.factory();if(n&&!(n instanceof Ws)&&typeof n.then=="function"){let o=++this.pendingBackendInitId,s=n.then(a=>o<this.pendingBackendInitId?!1:(this.registry[e]=a,this.pendingBackendInit=null,!0)).catch(a=>(o<this.pendingBackendInitId||(this.pendingBackendInit=null,console.warn(`Initialization of backend ${e} failed`),console.warn(a.stack||a.message)),!1));return this.pendingBackendInit=s,{success:s,asyncInit:!0}}else return this.registry[e]=n,{success:!0,asyncInit:!1}}catch(n){return console.warn(`Initialization of backend ${e} failed`),console.warn(n.stack||n.message),{success:!1,asyncInit:!1}}}removeBackend(e){if(!(e in this.registryFactory))throw new Error(`${e} backend not found in registry`);this.backendName===e&&this.pendingBackendInit!=null&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}getSortedBackends(){if(Object.keys(this.registryFactory).length===0)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((e,t)=>this.registryFactory[t].priority-this.registryFactory[e].priority)}initializeBackendsAndReturnBest(){let e=this.getSortedBackends();for(let t=0;t<e.length;t++){let n=e[t],{success:o,asyncInit:s}=this.initializeBackend(n);if(s||o)return{name:n,asyncInit:s}}throw new Error("Could not initialize any backends, all backend initializations failed.")}moveData(e,t){let n=this.state.tensorInfo.get(t),o=n.backend,s=this.readSync(t);o.disposeData(t),n.backend=e,e.move(t,s,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}tidy(e,t){let n=null;if(t==null){if(typeof e!="function")throw new Error("Please provide a function to tidy()");t=e}else{if(typeof e!="string"&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if(typeof t!="function")throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");n=e}let o;return this.scopedRun(()=>this.startScope(n),()=>this.endScope(o),()=>(o=t(),o instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),o))}scopedRun(e,t,n){e();try{let o=n();return t(),o}catch(o){throw t(),o}}nextTensorId(){return gu.nextTensorId++}nextVariableId(){return gu.nextVariableId++}clone(e){let t=this.makeTensorFromDataId(e.dataId,e.shape,e.dtype),n={x:e},o=a=>({x:()=>{let i="float32",l={x:a},u={dtype:i};return D.runKernel(An,l,u)}}),s=[];return this.addTapeNode(this.state.activeScope.name,n,[t],o,s,{}),t}runKernel(e,t,n){if(!(Mc(e,this.backendName)!=null))throw new Error(`Kernel '${e}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(e,t,n){let o=this.backend.numDataIds(),s=0;n.forEach(l=>{s+=l.dtype==="complex64"?3:1});let a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=o-t-s-a;if(i>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${i} data ids) after running '${e}'`)}runKernelFunc(e){let t,n=[],o=this.isTapeOn(),s=this.state.numBytes,a=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let i;this.backendName==null&&this.backend;let l,u=Kb(e)?e.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(Kb(e)){let{kernelName:d,inputs:h,attrs:g}=e;this.backendName==null&&this.backend;let x=Mc(d,this.backendName);A(x!=null,()=>`Cannot find registered kernel '${d}' for backend '${this.backendName}'`),i=()=>{let b=this.backend.numDataIds();l=x.kernelFunc({inputs:h,attrs:g,backend:this.backend});let w=Array.isArray(l)?l:[l];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(d,b,w);let _=w.map(k=>{if(k.rank!=null)return k;let{dataId:E,shape:S,dtype:R}=k;return this.makeTensorFromDataId(E,S,R)});if(o){let k=this.getTensorsForGradient(d,h,_);n=this.saveTensorsForBackwardMode(k)}return _}}else{let{forwardFunc:d}=e,h=g=>{!o||(n=g.map(x=>this.keep(this.clone(x))))};i=()=>{let g=this.backend.numDataIds();l=this.tidy(()=>d(this.backend,h));let x=Array.isArray(l)?l:[l];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(u,g,x),x}}let{inputs:c,attrs:p}=e,m=Kb(e)?null:e.backwardsFunc,f;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?t=i():(f=this.profiler.profileKernel(u,c,()=>i()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(f),t=f.outputs)}),o&&this.addTapeNode(u,c,t,m,n,p),this.state.profiling&&this.state.activeProfile.kernels.push({name:u,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-a,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(c).map(d=>c[d]!=null?c[d].shape:null),outputShapes:t.map(d=>d.shape),kernelTimeMs:f.timeMs,extraInfo:f.extraInfo}),Array.isArray(l)?t:t[0]}saveTensorsForBackwardMode(e){return e.map(n=>this.keep(this.clone(n)))}getTensorsForGradient(e,t,n){let o=Wh(e);if(o!=null){let s=o.inputsToSave||[],a=o.outputsToSave||[],i;o.saveAllInputs?(A(Array.isArray(t),()=>"saveAllInputs is true, expected inputs to be an array."),i=Object.keys(t).map(u=>t[u])):i=s.map(u=>t[u]);let l=n.filter((u,c)=>a[c]);return i.concat(l)}return[]}makeTensor(e,t,n,o){if(e==null)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",o=o||this.backend;let s=e;n==="string"&&os(e[0])&&(s=e.map(l=>rl(l)));let a=o.write(s,t,n),i=new Ve(t,n,a,this.nextTensorId());if(this.incRef(i,o),n==="string"){let l=this.state.tensorInfo.get(a),u=$b(s);this.state.numBytes+=u-l.bytes,l.bytes=u}return i}makeTensorFromDataId(e,t,n,o){n=n||"float32";let s=new Ve(t,n,e,this.nextTensorId());return this.incRef(s,o),s}makeVariable(e,t=!0,n,o){n=n||this.nextVariableId().toString(),o!=null&&o!==e.dtype&&(e=e.cast(o));let s=new nl(e,t,n,this.nextTensorId());if(this.state.registeredVariables[s.name]!=null)throw new Error(`Variable with name ${s.name} was already registered`);return this.state.registeredVariables[s.name]=s,this.incRef(s,this.backend),s}incRef(e,t){let n=this.state.tensorInfo.has(e.dataId)?this.state.tensorInfo.get(e.dataId).refCount:0;if(this.state.numTensors++,e.dtype==="string"&&this.state.numStringTensors++,n===0){this.state.numDataBuffers++;let o=0;e.dtype!=="complex64"&&e.dtype!=="string"&&(o=e.size*Db(e.dtype)),this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:o,refCount:0}),this.state.numBytes+=o}this.state.tensorInfo.get(e.dataId).refCount++,e instanceof nl||this.track(e)}disposeTensor(e){if(!this.state.tensorInfo.has(e.dataId))return;this.state.numTensors--,e.dtype==="string"&&this.state.numStringTensors--;let t=this.state.tensorInfo.get(e.dataId);t.refCount<=1?(e.dtype!=="complex64"&&(this.state.numBytes-=t.bytes),this.state.numDataBuffers--,t.backend.disposeData(e.dataId),this.state.tensorInfo.delete(e.dataId)):(t.backend.decComplexRef(e.dataId),this.state.tensorInfo.get(e.dataId).refCount--)}disposeVariables(){for(let e in this.state.registeredVariables){let t=this.state.registeredVariables[e];this.disposeVariable(t)}}disposeVariable(e){this.disposeTensor(e),this.state.registeredVariables[e.name]!=null&&delete this.state.registeredVariables[e.name]}memory(){let e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,e.reasons==null&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}async profile(e){this.state.profiling=!0;let t=this.state.numBytes,n=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-t,this.state.activeProfile.newTensors=this.state.numTensors-n;for(let o of 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a=this.state.activeScope.track[s];!a.kept&&!n.has(a.id)&&a.dispose()}let o=this.state.scopeStack.pop();this.state.activeScope=this.state.scopeStack.length===0?null:this.state.scopeStack[this.state.scopeStack.length-1],t.forEach(s=>{!s.kept&&s.scopeId===o.id&&this.track(s)})}gradients(e,t,n,o=!1){if(A(t.length>0,()=>"gradients() received an empty list of xs."),n!=null&&n.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${n.dtype}'`);let s=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",e));A(s instanceof Ve,()=>"The result y returned by f() must be a tensor.");let a=AI(this.state.activeTape,t,s);if(!o&&a.length===0&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. 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a=v(r,"x","batchNorm"),i=v(e,"mean","batchNorm"),l=v(t,"variance","batchNorm"),u;o!=null&&(u=v(o,"scale","batchNorm"));let c;return n!=null&&(c=v(n,"offset","batchNorm")),A(a.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${a.rank}.`),A(i.rank===4||i.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${i.rank}.`),A(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&A(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${u.rank}.`),c!=null&&A(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${c.rank}.`),Oo(a,i,l,c,u,s)}var vw=T({batchNorm4d_:bj});function wj(r,e,t){let n=v(r,"x","bincount"),o=v(e,"weights","bincount");A(n.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${n.dtype}`),A(t>=0,()=>`size must be non-negative, but got 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Pm=T({ceil_:kj});function vj(r,e,t){let n=v(r,"x","clipByValue");A(e<=t,()=>`Error in clip: min (${e}) must be less than or equal to max (${t}).`);let o={x:n},s={clipValueMin:e,clipValueMax:t};return D.runKernel(Dn,o,s)}var sr=T({clipByValue_:vj});function Cj(r){return Qe(r,0)}var Iw=T({concat1d_:Cj});function Ij(r,e){return Qe(r,e)}var Nw=T({concat2d_:Ij});function Nj(r,e){return Qe(r,e)}var Sw=T({concat3d_:Nj});function Sj(r,e){return Qe(r,e)}var Tw=T({concat4d_:Sj});function Tj(r,e,t,n,o="NHWC",s=[1,1],a){let i=v(r,"x","conv2d"),l=v(e,"filter","conv2d"),u=i,c=!1;i.rank===3&&(c=!0,u=z(i,[1,i.shape[0],i.shape[1],i.shape[2]])),A(u.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${u.rank}.`),A(l.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${l.rank}.`),a!=null&&A(st(n),()=>`Error in conv2d: pad must be an integer when using, dimRoundingMode ${a} but got pad ${n}.`);let p=o==="NHWC"?u.shape[3]:u.shape[1];A(p===l.shape[2],()=>`Error in conv2d: depth of input (${p}) must match input depth for filter ${l.shape[2]}.`),A(br(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. 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Got stride ${t} and dilation '${s}'`),A(o==="NWC",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);let p=z(l,[1,l.shape[0],l.shape[1],l.shape[2]]),m=z(u,[u.shape[0],1,u.shape[1],u.shape[2]]),g=Ur(m,p,[1,t],n,"NHWC",[1,s],a);return c?z(g,[g.shape[2],g.shape[3]]):z(g,[g.shape[0],g.shape[2],g.shape[3]])}var vu=T({conv1d_:Ej});function Aj(r,e,t,n,o,s="NHWC",a){A(r.length===e.rank,()=>`Length of inShape (${r.length}) and rank of dy (${e.rank}) must match`);let i=r,l=e,u=!1;e.rank===3&&(u=!0,l=z(e,[1,e.shape[0],e.shape[1],e.shape[2]]),i=[1,r[0],r[1],r[2]]),A(i.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${i.length}.`),A(l.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${l.rank}`),A(t.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${t.rank}`);let c=s==="NHWC"?i[3]:i[1],p=s==="NHWC"?l.shape[3]:l.shape[1];A(c===t.shape[2],()=>`Error in conv2dDerInput: depth of input (${c}) must match input depth for filter ${t.shape[2]}.`),A(p===t.shape[3],()=>`Error in conv2dDerInput: depth of output (${p}) must match output depth for filter ${t.shape[3]}.`),a!=null&&A(st(o),()=>`Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode ${a} but got pad ${o}.`);let m={dy:l,filter:t},f={strides:n,pad:o,dataFormat:s,dimRoundingMode:a,inputShape:i},d=D.runKernel(Xn,m,f);return u?z(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Kc=T({conv2DBackpropInput_:Aj});function Dj(r,e,t,n,o,s){let a=v(r,"x","conv2dTranspose"),i=v(e,"filter","conv2dTranspose");return Kc(t,a,i,n,o,"NHWC",s)}var Cu=T({conv2dTranspose_:Dj});function $j(r,e,t,n,o="NDHWC",s=[1,1,1]){let a=v(r,"x","conv3d"),i=v(e,"filter","conv3d"),l=a,u=!1;a.rank===4&&(u=!0,l=z(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),A(l.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${l.rank}.`),A(i.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${i.rank}.`),A(l.shape[4]===i.shape[3],()=>`Error in conv3d: depth of input (${l.shape[4]}) must match input depth for filter ${i.shape[3]}.`),A(br(t,s),()=>`Error in conv3D: Either strides or dilations must be 1. 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-    ${o} and ${e}  for depthToSpace with input shape
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p={x:u,filter:l},m={strides:t,pad:n,dataFormat:o,dilations:s,dimRoundingMode:a},f=D.runKernel(Jn,p,m);return c?z(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Cs=T({depthwiseConv2d_:Vj});function Gj(r){let t={x:v(r,"x","diag")};return D.runKernel(Ql,t)}var jj=T({diag_:Gj});function Wj(r,e,t,n,o=[1,1],s="NHWC"){let a=v(r,"x","dilation2d"),i=v(e,"filter","dilation2d");A(a.rank===3||a.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${a.rank}.`),A(i.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${i.rank}.`),A(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=a,u=!1;a.rank===3&&(l=z(a,[1,a.shape[0],a.shape[1],a.shape[2]]),u=!0);let c={x:l,filter:i},p={strides:t,pad:n,dilations:o},m=D.runKernel(la,c,p);return u?z(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var zm=T({dilation2d_:Wj});function Uj(r,e){let t=r.length,n=[];for(let o=0;o<t;o++){let s=t-1-o,a=r[s]||1;(e[e.length-1-o]||1)>1&&a===1&&n.unshift(s)}return n}function It(r,e){let t=[];for(let n=0;n<e.length;n++){let o=r[r.length-n-1],s=e.length-n-1,a=e[s];(o==null||o===1&&a>1)&&t.unshift(s)}return t}function ze(r,e){let t=[],n=Math.max(r.length,e.length);for(let o=0;o<n;o++){let s=r[r.length-o-1];s==null&&(s=1);let a=e[e.length-o-1];if(a==null&&(a=1),s===1)t.unshift(a);else if(a===1)t.unshift(s);else if(s!==a){let i=`Operands could not be broadcast together with shapes ${r} and ${e}.`;throw Error(i)}else t.unshift(s)}return t}function qj(r,e){let t=v(r,"a","equal"),n=v(e,"b","equal");[t,n]=Ge(t,n),ze(t.shape,n.shape);let o={a:t,b:n};return D.runKernel(ai,o)}var wn=T({equal_:qj});function Hj(r,e,t){let n=v(e,"a","where"),o=v(t,"b","where"),s=v(r,"condition","where","bool"),a=ze(n.shape,o.shape),i=ll(n,a),l=ll(o,a);s.rank===1&&A(s.shape[0]===n.shape[0],()=>"The first dimension of `a` must match the size of `condition`."),s.rank!==1&&St(s.shape,l.shape,"Error in where: 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je(t,a)}}var Aw=T({dot_:Yj});function Zj(r){let t={x:v(r,"x","elu")};return D.runKernel(si,t)}var Is=T({elu_:Zj});function Jj(r){let e=v(r,"x","erf");A(e.dtype==="int32"||e.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),e.dtype==="int32"&&(e=ne(e,"float32"));let t={x:e};return D.runKernel(ii,t)}var Vm=T({erf_:Jj});function Qj(r){let t={x:v(r,"x","exp")};return D.runKernel(eo,t)}var Yt=T({exp_:Qj});function eW(r,e=0){let t=v(r,"x","expandDims","string_or_numeric");A(e<=t.rank,()=>"Axis must be <= rank of the tensor");let n={input:t},o={dim:e};return D.runKernel(as,n,o)}var ir=T({expandDims_:eW});function tW(r){let t={x:v(r,"x","expm1")};return D.runKernel(li,t)}var Gm=T({expm1_:tW});function rW(r,e){let t=v(r,"x","tile","string_or_numeric");A(t.rank===e.length,()=>`Error in transpose: rank of input ${t.rank} must match length of reps ${e}.`);let n={x:t},o={reps:e};return D.runKernel(yn,n,o)}var On=T({tile_:rW});function nW(r,e,t,n="float32"){e==null&&(e=r);let o=Ce([r,e],n),s=r<=e?r:e;for(let i=0;i<s;++i)o.set(1,i,i);let a=z(o.toTensor(),[r,e]);if(t==null)return a;if(t.length===1)return On(ir(a,0),[t[0],1,1]);if(t.length===2)return On(ir(ir(a,0),0),[t[0],t[1],1,1]);if(t.length===3)return On(ir(ir(ir(a,0),0),0),[t[0],t[1],t[2],1,1]);throw new Error(`eye() currently supports only 1D and 2D batchShapes, but received ${t.length}D.`)}var Xc=T({eye_:nW});function Na(r,e,t){let n={shape:r,value:e,dtype:t};return D.runKernel(ua,{},n)}function oW(r){let t={x:v(r,"x","floor")};return D.runKernel(to,t)}var Ns=T({floor_:oW});function sW(r,e,t=0,n=0){let o=v(r,"x","gather"),s=v(e,"indices","gather","int32"),a={x:o,indices:s},i={axis:t,batchDims:n};return D.runKernel(ls,a,i)}var Po=T({gather_:sW});function iW(r,e){let t=v(r,"a","greater"),n=v(e,"b","greater");[t,n]=Ge(t,n),ze(t.shape,n.shape);let o={a:t,b:n};return D.runKernel(pi,o)}var er=T({greater_:iW});function aW(r,e){let 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RU({x:r,filter:e,strides:t,pad:n,dataFormat:o="NHWC",dilations:s=[1,1],dimRoundingMode:a,bias:i,activation:l="linear",preluActivationWeights:u,leakyreluAlpha:c}){if(l=l||"linear",qu(D.state.gradientDepth,l)===!1){let k=Ur(r,e,t,n,o,s,a);return i!=null&&(k=Q(k,i)),Uu(k,l,u,c)}let p=v(r,"x","conv2d"),m=v(e,"filter","conv2d"),f=p,d=!1;p.rank===3&&(d=!0,f=z(p,[1,p.shape[0],p.shape[1],p.shape[2]])),A(f.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${f.rank}.`),A(m.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${m.rank}.`),a!=null&&A(st(n),()=>`Error in fused conv2d: pad must be an integer when using, dimRoundingMode ${a} but got pad ${n}.`),A(f.shape[3]===m.shape[2],()=>`Error in conv2d: depth of input (${f.shape[3]}) must match input depth for filter ${m.shape[2]}.`),A(br(t,s),()=>`Error in conv2D: Either strides or dilations must be 1. 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a=v(r,"boxes","nonMaxSuppression"),i=v(e,"scores","nonMaxSuppression"),l=Bo(a,i,t,n,o,null),u=l.maxOutputSize,c=l.iouThreshold,p=l.scoreThreshold,m={boxes:a,scores:i},f={maxOutputSize:u,iouThreshold:c,scoreThreshold:p,padToMaxOutputSize:s},d=D.runKernel(ki,m,f);return{selectedIndices:d[0],validOutputs:d[1]}}var dS=T({nonMaxSuppressionPadded_:nq});async function oq(r,e,t,n=.5,o=Number.NEGATIVE_INFINITY,s=!1){let a=v(r,"boxes","nonMaxSuppressionAsync"),i=v(e,"scores","nonMaxSuppressionAsync"),l=Bo(a,i,t,n,o,null),u=l.maxOutputSize,c=l.iouThreshold,p=l.scoreThreshold,[m,f]=await Promise.all([a.data(),i.data()]),{selectedIndices:d,validOutputs:h}=i_(m,f,u,c,p,s);return a!==r&&a.dispose(),i!==e&&i.dispose(),{selectedIndices:Gt(d,"int32"),validOutputs:le(h,"int32")}}var hS=oq;function sq(r,e,t=!1,n=!1){let o=v(r,"images","resizeBilinear");A(o.rank===3||o.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${o.rank}.`),A(e.length===2,()=>`Error in resizeBilinear: new 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s=o,a=!1;o.rank===3&&(a=!0,s=z(o,[1,o.shape[0],o.shape[1],o.shape[2]]));let[]=e,i={images:s},l={alignCorners:t,halfPixelCenters:n,size:e},u=D.runKernel(da,i,l);return a?z(u,[u.shape[1],u.shape[2],u.shape[3]]):u}var _g=T({resizeNearestNeighbor_:iq});function aq(r,e,t){A(e%1==0,()=>`bandPart(): numLower must be an integer, got ${e}.`),A(t%1==0,()=>`bandPart(): numUpper must be an integer, got ${t}.`);let n=v(r,"a","bandPart");A(n.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${n.rank}.`);let o=n.shape,[s,a]=n.shape.slice(-2);if(!(e<=s))throw new Error(`bandPart(): numLower (${e}) must not be greater than the number of rows (${s}).`);if(!(t<=a))throw new Error(`bandPart(): numUpper (${t}) must not be greater than the number of columns (${a}).`);e<0&&(e=s),t<0&&(t=a);let i=z(Jc(0,s,1,"int32"),[-1,1]),l=Jc(0,a,1,"int32"),u=ue(i,l),c=dr(Pn(u,le(+e,"int32")),tn(u,le(-t,"int32"))),p=xt([s,a],n.dtype);return z(Vt(cr(z(n,[-1,s,a])).map(m=>$t(c,m,p))),o)}var gS=T({bandPart_:aq});function lq(r){let e;if(Array.isArray(r)){e=!1,A(r!=null&&r.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");let o=r[0].shape[0];for(let s=1;s<r.length;++s)A(r[s].shape[0]===o,()=>`Gram-Schmidt: Non-unique lengths found in the input vectors: (${r[s].shape[0]} vs. ${o})`)}else e=!0,r=ur(r,r.shape[0],0).map(o=>_n(o,[0]));A(r.length<=r[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${r.length}) exceeds number of dimensions (${r[0].shape[0]}).`);let t=[],n=r;for(let o=0;o<r.length;++o)t.push(D.tidy(()=>{let s=n[o];if(o>0)for(let a=0;a<o;++a){let i=M(ye(M(t[a],s)),t[a]);s=ue(s,i)}return de(s,Gu(s,"euclidean"))}));return e?Vt(t,0):t}var xS=T({gramSchmidt_:lq});function uq(r,e=!1){if(A(r.rank>=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${r.rank}`),r.rank===2)return yS(r,e);{let 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_q={fft:Ra,ifft:Bi,rfft:Fa,irfft:zu},kq={hammingWindow:nS,hannWindow:yg,frame:bg,stft:oS},Ds={flipLeftRight:iS,resizeNearestNeighbor:_g,resizeBilinear:wg,rotateWithOffset:aS,cropAndResize:sS,nonMaxSuppression:lS,nonMaxSuppressionAsync:pS,nonMaxSuppressionWithScore:mS,nonMaxSuppressionWithScoreAsync:fS,nonMaxSuppressionPadded:dS,nonMaxSuppressionPaddedAsync:hS},l_={bandPart:gS,gramSchmidt:xS,qr:bS},vq={absoluteDifference:wS,computeWeightedLoss:Sr,cosineDistance:_S,hingeLoss:kS,huberLoss:vS,logLoss:CS,meanSquaredError:IS,sigmoidCrossEntropy:NS,softmaxCrossEntropy:SS};var Or=class extends sg{minimize(e,t=!1,n){let{value:o,grads:s}=this.computeGradients(e,n);if(n!=null){let a=n.map(i=>({name:i.name,tensor:s[i.name]}));this.applyGradients(a)}else this.applyGradients(s);return Ee(s),t?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return cg(e,t)}dispose(){this.iterations_!=null&&Ee(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:le(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Or,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var rp=class extends Or{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=D.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,o)=>{let s=D.registeredVariables[n],a=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:V(()=>Ie(s).variable(a))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:V(()=>Ie(s).variable(a))});let i=Array.isArray(e)?e[o].tensor:e[n];if(i==null)return;let l=this.accumulatedGrads[o].variable,u=this.accumulatedUpdates[o].variable;V(()=>{let c=Q(M(l,this.rho),M(Pe(i),1-this.rho)),p=M(de(yt(Q(u,this.epsilon)),yt(Q(l,this.epsilon))),i),m=Q(M(u,this.rho),M(Pe(p),1-this.rho));l.assign(c),u.assign(m);let f=Q(M(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Ee(this.accumulatedGrads.map(e=>e.variable)),Ee(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};rp.className="Adadelta";en(rp);var np=class extends Or{constructor(e,t=.1){super();this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,o)=>{let s=D.registeredVariables[n];if(this.accumulatedGrads[o]==null){let l=!1;this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:V(()=>Na(s.shape,this.initialAccumulatorValue).variable(l))}}let a=Array.isArray(e)?e[o].tensor:e[n];if(a==null)return;let i=this.accumulatedGrads[o].variable;V(()=>{let 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Or{constructor(e,t,n,o=null){super();this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],V(()=>{this.accBeta1=le(t).variable(),this.accBeta2=le(n).variable()}),o==null&&(this.epsilon=D.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);V(()=>{let n=ue(1,this.accBeta1),o=ue(1,this.accBeta2);t.forEach((s,a)=>{let i=D.registeredVariables[s],l=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:V(()=>Ie(i).variable(l))}),this.accumulatedSecondMoment[a]==null&&(this.accumulatedSecondMoment[a]={originalName:`${s}/v`,variable:V(()=>Ie(i).variable(l))});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,p=this.accumulatedSecondMoment[a].variable,m=Q(M(c,this.beta1),M(u,1-this.beta1)),f=Q(M(p,this.beta2),M(Pe(u),1-this.beta2)),d=de(m,n),h=de(f,o);c.assign(m),p.assign(f);let 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a=o.strideDepth,i=o.strideHeight,l=o.strideWidth,u=o.dilationDepth,c=o.dilationHeight,p=o.dilationWidth,m=o.effectiveFilterDepth,f=o.effectiveFilterHeight,d=o.effectiveFilterWidth,h=o.padInfo.front,g=o.padInfo.top,x=o.padInfo.left,b=s==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,w=Ce(o.outShape,t),_=w.values,k=o.outShape[1]*o.outShape[2]*o.outShape[3]*o.outShape[4],E=o.outShape[2]*o.outShape[3]*o.outShape[4],S=o.outShape[3]*o.outShape[4],R=o.outShape[4];for(let F=0;F<o.batchSize;++F){let P=F*k,j=F*n[0];for(let G=0;G<o.inChannels;++G)for(let U=0;U<o.outDepth;++U){let X=U*a-h,K=X;for(;K<0;)K+=u;let Z=Math.min(o.inDepth,m+X),te=P+U*E;for(let Y=0;Y<o.outHeight;++Y){let re=Y*i-g,ie=re;for(;ie<0;)ie+=c;let se=Math.min(o.inHeight,f+re),pe=te+Y*S;for(let ae=0;ae<o.outWidth;++ae){let xe=ae*l-x,ge=xe;for(;ge<0;)ge+=p;let we=Math.min(o.inWidth,d+xe),ke=pe+ae*R,De=b,$e=0,Re=0;for(let ut=K;ut<Z;ut+=u){let kt=j+ut*n[1];for(let vt=ie;vt<se;vt+=c){let pt=kt+vt*n[2];for(let 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c=N.computePool3DInfo(s.shape,a,i,1,l,u),p=c.strideDepth,m=c.strideHeight,f=c.strideWidth,d=c.filterDepth,h=c.filterHeight,g=c.filterWidth,x=c.dilationDepth,b=c.dilationHeight,w=c.dilationWidth,_=c.effectiveFilterDepth,k=c.effectiveFilterHeight,E=c.effectiveFilterWidth,S=_-1-c.padInfo.front,R=E-1-c.padInfo.left,F=k-1-c.padInfo.top,P=Ce(s.shape,"float32"),j=1/(d*h*g),G=t.bufferSync(o);for(let U=0;U<c.batchSize;++U)for(let X=0;X<c.inChannels;++X)for(let K=0;K<c.inDepth;++K)for(let Z=0;Z<c.inHeight;++Z)for(let te=0;te<c.inWidth;++te){let Y=K-S,re=Z-F,ie=te-R,se=0;for(let pe=0;pe<_;pe+=x){let ae=(Y+pe)/p;if(!(ae<0||ae>=c.outDepth||Math.floor(ae)!==ae))for(let xe=0;xe<k;xe+=b){let ge=(re+xe)/m;if(!(ge<0||ge>=c.outHeight||Math.floor(ge)!==ge))for(let we=0;we<E;we+=w){let ke=(ie+we)/f;if(ke<0||ke>=c.outWidth||Math.floor(ke)!==ke)continue;se+=G.get(U,ae,ge,ke,X)}}}P.set(se*j,U,K,Z,te,X)}return t.makeTensorInfo(P.shape,P.dtype,P.values)}var zT={kernelName:Wl,backendName:"cpu",kernelFunc:MH};function LH(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s;ee([o,s],"avgPoolGrad");let{filterSize:i,strides:l,pad:u}=n,c=N.computePool2DInfo(a.shape,i,l,1,u),p=c.strideHeight,m=c.strideWidth,f=c.filterHeight,d=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,_=x-1-c.padInfo.top,k=Ce(a.shape,"float32"),E=1/(f*d),S=t.data.get(o.dataId).values,R=Ce(o.shape,"float32",S);for(let F=0;F<c.batchSize;++F)for(let P=0;P<c.inChannels;++P)for(let j=0;j<c.inHeight;++j)for(let G=0;G<c.inWidth;++G){let U=j-_,X=G-w,K=0;for(let Z=0;Z<x;Z+=h){let te=(U+Z)/p;if(!(te<0||te>=c.outHeight||Math.floor(te)!==te))for(let Y=0;Y<b;Y+=g){let re=(X+Y)/m;if(re<0||re>=c.outWidth||Math.floor(re)!==re)continue;K+=R.get(F,te,re,P)}}k.set(K*E,F,j,G,P)}return t.makeTensorInfo(k.shape,k.dtype,k.values)}var BT={kernelName:jl,backendName:"cpu",kernelFunc:LH};function 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t.makeTensorInfo(o.shape,o.dtype,h)}var VT={kernelName:no,backendName:"cpu",kernelFunc:zH};function BH(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{blockShape:s,crops:a}=n;ee([o],"batchToSpaceND");let i=s.reduce((x,b)=>x*b),l=N.getReshaped(o.shape,s,i),u=N.getPermuted(l.length,s.length),c=N.getReshapedPermuted(o.shape,s,i),p=N.getSliceBeginCoords(a,s.length),m=N.getSliceSize(c,a,s.length),f=tt({inputs:{x:o},backend:t,attrs:{shape:l}}),d=rr({inputs:{x:f},backend:t,attrs:{perm:u}}),h=tt({inputs:{x:d},backend:t,attrs:{shape:c}}),g=Uo({inputs:{x:h},backend:t,attrs:{begin:p,size:m}});return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(h),g}var GT={kernelName:sa,backendName:"cpu",kernelFunc:BH};function VH(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,weights:s}=e,{size:a}=n,i=t.data.get(o.dataId).values,l=t.data.get(s.dataId).values,u=cf(i,l,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var jT={kernelName:Ul,backendName:"cpu",kernelFunc:VH};var GH=Ae(Dn,(r,e)=>{let t=e;return r>t.clipValueMax?t.clipValueMax:r<t.clipValueMin?t.clipValueMin:r}),WT={kernelName:Dn,backendName:"cpu",kernelFunc:GH};var jH=r=>{let{x:e}=r.inputs,t=r.backend,n=new Float32Array(y.sizeFromShape(e.shape)),o=t.data.get(e.dataId),s=o.complexTensorInfos.real,a=o.complexTensorInfos.imag,i=t.data.get(s.dataId).values,l=t.data.get(a.dataId).values;for(let u=0;u<i.length;u++){let c=i[u],p=l[u];n[u]=Math.hypot(c,p)}return t.makeOutput(n,e.shape,"float32")},UT={kernelName:ia,backendName:"cpu",kernelFunc:jH};function Gi(r){let{inputs:e,backend:t}=r,{input:n}=e,o=t.data.get(n.dataId).complexTensorInfos.imag,s=t.data.get(o.dataId).values;return t.makeTensorInfo(o.shape,o.dtype,s)}var qT={kernelName:nu,backendName:"cpu",kernelFunc:Gi};function ml(r){let{inputs:e,backend:t,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,e[0].shape)[0],a=N.computeOutShape(e.map(h=>h.shape),s);if(y.sizeFromShape(a)===0)return 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t.makeTensorInfo(h.shape,h.dtype,h.values)}var YT={kernelName:Xn,backendName:"cpu",kernelFunc:UH};function qH(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dilations:l}=n;ee([o,s],"conv3d");let u=N.computeConv3DInfo(o.shape,s.shape,a,l,i),{filterDepth:c,filterHeight:p,filterWidth:m,dilationDepth:f,dilationHeight:d,dilationWidth:h,padInfo:g}=u,x=g.front,b=g.left,w=g.top,_=new ct(u.outShape,o.dtype),k=t.data.get(o.dataId).values,E=t.data.get(s.dataId).values,S=_.values,R=y.computeStrides(o.shape),F=y.computeStrides(s.shape);for(let P=0;P<u.batchSize;++P){let j=P*R[0],G=P*_.strides[0];for(let U=0;U<u.outDepth;++U){let X=G+U*_.strides[1],K=U*u.strideDepth-x;for(let Z=0;Z<c;++Z){let te=K+Z*f;if(te<0||te>=u.inDepth)continue;let Y=Z*F[0],re=j+te*R[1];for(let ie=0;ie<u.outHeight;++ie){let se=X+ie*_.strides[2],pe=ie*u.strideHeight-w;for(let ae=0;ae<p;++ae){let xe=pe+ae*d;if(xe<0||xe>=u.inHeight)continue;let ge=Y+ae*F[1],we=re+xe*R[2];for(let ke=0;ke<u.outWidth;++ke){let 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a1={kernelName:Zl,backendName:"cpu",kernelFunc:tK};function rK(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{strides:a,dilations:i,pad:l,dimRoundingMode:u,inputShape:c}=n;ee([o,s],"depthwiseConv2DNativeBackpropInput");let p=y.computeStrides(o.shape),m=y.computeStrides(s.shape),f=N.computeConv2DInfo(c,s.shape,a,i,l,u,!0),d=new ct(f.inShape,"float32"),h=d.values,[g,x,b]=d.strides,w=t.data.get(o.dataId).values,[_,k,E]=p,S=t.data.get(s.dataId).values,[R,F,P]=m,{batchSize:j,filterHeight:G,filterWidth:U,inChannels:X,inHeight:K,inWidth:Z,outChannels:te,outHeight:Y,outWidth:re,strideHeight:ie,strideWidth:se}=f,pe=G-1-f.padInfo.top,ae=U-1-f.padInfo.left,xe=te/X;for(let ge=0;ge<j;++ge)for(let we=0;we<X;++we)for(let ke=0;ke<K;++ke){let De=ke-pe,$e=Math.max(0,Math.ceil(De/ie)),Re=Math.min(Y,(G+De)/ie);for(let qe=0;qe<Z;++qe){let ut=qe-ae,kt=Math.max(0,Math.ceil(ut/se)),vt=Math.min(re,(U+ut)/se),pt=0;for(let Ct=$e;Ct<Re;++Ct){let He=Ct*ie-De;for(let Ot=kt;Ot<vt;++Ot){let 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-        return ivec4(floor(value + vec4(0.5)));
-      }
-    `):(r="",e="attribute",t="varying",n="varying",o="texture2D",s="gl_FragColor",a="",i=`
-      #define isnan(value) isnan_custom(value)
-      bool isnan_custom(float val) {
-        return (val > 0. || val < 1. || val == 0.) ? false : true;
-      }
-      bvec4 isnan_custom(vec4 val) {
-        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));
-      }
-    `,l=`
-      uniform float INFINITY;
-
-      bool isinf(float val) {
-        return abs(val) == INFINITY;
-      }
-      bvec4 isinf(vec4 val) {
-        return equal(abs(val), vec4(INFINITY));
-      }
-    `,u=`
-      int round(float value) {
-        return int(floor(value + 0.5));
-      }
-
-      ivec4 round(vec4 value) {
-        return ivec4(floor(value + vec4(0.5)));
-      }
-    `),{version:r,attribute:e,varyingVs:t,varyingFs:n,texture2D:o,output:s,defineOutput:a,defineSpecialNaN:i,defineSpecialInf:l,defineRound:u}}function Rs(r,e,t="index"){let n=y.computeStrides(e);return n.map((o,s)=>{let a=`int ${r[s]} = ${t} / ${o}`,i=s===n.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * ${o}`:`index -= ${r[s]} * ${o}`;return`${a}; ${i};`}).join("")}function hp(r){let e=y.computeStrides(r).map(t=>t.toString());return`
-  int getFlatIndex(ivec3 coords) {
-    return coords.x * ${e[0]} + coords.y * ${e[1]} + coords.z;
-  }
-`}var Lg=`
-  const float FLOAT_MAX = 1.70141184e38;
-  const float FLOAT_MIN = 1.17549435e-38;
-
-  lowp vec4 encode_float(highp float v) {
-    if (isnan(v)) {
-      return vec4(255, 255, 255, 255);
-    }
-
-    highp float av = abs(v);
-
-    if(av < FLOAT_MIN) {
-      return vec4(0.0, 0.0, 0.0, 0.0);
-    } else if(v > FLOAT_MAX) {
-      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
-    } else if(v < -FLOAT_MAX) {
-      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;
-    }
-
-    highp vec4 c = vec4(0,0,0,0);
-
-    highp float e = floor(log2(av));
-    highp float m = exp2(fract(log2(av))) - 1.0;
-
-    c[2] = floor(128.0 * m);
-    m -= c[2] / 128.0;
-    c[1] = floor(32768.0 * m);
-    m -= c[1] / 32768.0;
-    c[0] = floor(8388608.0 * m);
-
-    highp float ebias = e + 127.0;
-    c[3] = floor(ebias / 2.0);
-    ebias -= c[3] * 2.0;
-    c[2] += floor(ebias) * 128.0;
-
-    c[3] += 128.0 * step(0.0, -v);
-
-    return c / 255.0;
-  }
-`;var uk=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=fl.DENSE;let t=dl(e),n=Pt();this.outputShape=e,this.userCode=`
-      ivec3 outCoordsFromFlatIndex(int index) {
-        ${Rs(["r","c","d"],e)}
-        return ivec3(r, c, d);
-      }
-
-      void main() {
-        ivec2 resTexRC = ivec2(resultUV.yx *
-          vec2(${t[0]}, ${t[1]}));
-        int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);
-
-        vec4 result = vec4(0.);
-
-        for (int i=0; i<4; i++) {
-          int flatIndex = index + i;
-          ivec3 rc = outCoordsFromFlatIndex(flatIndex);
-          result[i] = getA(rc.x, rc.y, rc.z);
-        }
-
-        ${n.output} = result;
-      }
-    `}};var ck=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=fl.DENSE;let t=dl(e),n=Pt();this.outputShape=e,this.userCode=`
-      ivec3 outCoordsFromFlatIndex(int index) {
-        ${Rs(["r","c","d"],e)}
-        return ivec3(r, c, d);
-      }
-
-      void main() {
-        ivec2 resTexRC = ivec2(resultUV.yx *
-          vec2(${t[0]}, ${t[1]}));
-        int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);
-
-        vec4 result = vec4(0.);
-
-        for (int i=0; i<4; i++) {
-          int flatIndex = index + i;
-          ivec3 rc = outCoordsFromFlatIndex(flatIndex);
-          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));
-        }
-
-        ${n.output} = result;
-      }
-    `}};var pk=class{constructor(e){this.variableNames=["A"],this.outTexUsage=Ar.DOWNLOAD;let t=Pt();this.outputShape=e,this.userCode=`
-      ${Lg}
-
-      void main() {
-        float x = getAAtOutCoords();
-        ${t.output} = encode_float(x);
-      }
-    `}};var mk=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Ar.DOWNLOAD;let t=Pt();this.outputShape=e,this.userCode=`
-      ${Lg}
-
-      void main() {
-        ivec3 coords = getOutputCoords();
-        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
-        ${t.output} = encode_float(x);
-      }
-    `}};var fk=class{constructor(e,t,n=!1){this.variableNames=["A"];let o=Pt(),[s,a]=t;this.outputShape=e;let i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode=`
-      ${hp(e)}
-
-      void main() {
-        ivec3 coords = getOutputCoords();
-
-        int flatIndex = getFlatIndex(coords);
-        int offset = imod(flatIndex, 4);
-
-        flatIndex = idiv(flatIndex, 4, 1.);
-
-        int r = flatIndex / ${a};
-        int c = imod(flatIndex, ${a});
-        vec2 uv = (vec2(c, r) + halfCR) / vec2(${a}.0, ${s}.0);
-        vec4 values = ${o.texture2D}(A, uv);
-
-        float result;
-
-        if(offset == 0) {
-          result = values[0];
-        } else if(offset == 1) {
-          result = values[1];
-        } else if(offset == 2) {
-          result = values[2];
-        } else {
-          result = values[3];
-        }
-
-        ${o.output} = vec4(${i}, 0., 0., 0.);
-      }
-    `}};var dk=class{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let o=Pt(),[s,a]=t;this.outputShape=e;let i="",l="result";n&&(l="floor(result * 255. + 0.5)");for(let u=0;u<=1;u++)for(let c=0;c<=1;c++){let p=u*2+c;i+=`
-          localCoords = coords;
-          if(localCoords[2] + ${c} < ${e[2]}) {
-            localCoords[2] += ${c};
-            if(localCoords[1] + ${u} < ${e[1]}) {
-              localCoords[1] += ${u};
-
-              flatIndex = getFlatIndex(localCoords);
-              offset = imod(flatIndex, 4);
-
-              flatIndex = idiv(flatIndex, 4, 1.);
-
-              r = flatIndex / ${a};
-              c = imod(flatIndex, ${a});
-              uv = (vec2(c, r) + halfCR) / vec2(${a}.0, ${s}.0);
-              values = ${o.texture2D}(A, uv);
-
-              if(offset == 0) {
-                result[${p}] = values[0];
-              } else if(offset == 1) {
-                result[${p}] = values[1];
-              } else if(offset == 2) {
-                result[${p}] = values[2];
-              } else {
-                result[${p}] = values[3];
-              }
-            }
-          }
-        `}this.userCode=`
-      ${hp(e)}
-
-      void main() {
-        ivec3 coords = getOutputCoords();
-
-        vec4 result = vec4(0.);
-        int flatIndex, r, c, offset;
-        ivec3 localCoords;
-        vec2 uv;
-        vec4 values;
-
-        ${i}
-
-        ${o.output} = ${l};
-      }
-    `}};var lA={};Ye(lA,{bindVertexProgramAttributeStreams:()=>vk,createBufferFromOutputTexture:()=>Nk,createFloat16MatrixTexture:()=>bk,createFloat16PackedMatrixTexture:()=>kk,createFloat32MatrixTexture:()=>yk,createIndexBuffer:()=>xk,createPackedMatrixTexture:()=>_k,createUnsignedBytesMatrixTexture:()=>wk,createVertexBuffer:()=>gk,createVertexShader:()=>hk,downloadByteEncodedFloatMatrixFromOutputTexture:()=>Tk,downloadFloat32MatrixFromBuffer:()=>Sk,downloadMatrixFromPackedOutputTexture:()=>Ak,downloadPackedMatrixFromBuffer:()=>Ek,getInternalFormatForFloat16MatrixTexture:()=>Bg,getInternalFormatForFloat16PackedMatrixTexture:()=>jg,getInternalFormatForFloat32MatrixTexture:()=>zg,getInternalFormatForPackedMatrixTexture:()=>Gg,getInternalFormatForUnsignedBytesMatrixTexture:()=>Vg,uploadDenseMatrixToTexture:()=>Ck,uploadPixelDataToTexture:()=>Ik});function hk(r){let e=Pt(),t=`${e.version}
-    precision highp float;
-    ${e.attribute} vec3 clipSpacePos;
-    ${e.attribute} vec2 uv;
-    ${e.varyingVs} vec2 resultUV;
-
-    void main() {
-      gl_Position = vec4(clipSpacePos, 1);
-      resultUV = uv;
-    }`;return j_(r,t)}function gk(r){let e=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return H_(r,e)}function xk(r){let e=new Uint16Array([0,1,2,2,1,3]);return K_(r,e)}function If(r,e,t,n,o,s){Y_(e,t);let a=X_(r),i=r.TEXTURE_2D;return Ne(r,()=>r.bindTexture(i,a)),Ne(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),Ne(r,()=>r.texParameteri(i,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),Ne(r,()=>r.texParameteri(i,r.TEXTURE_MIN_FILTER,r.NEAREST)),Ne(r,()=>r.texParameteri(i,r.TEXTURE_MAG_FILTER,r.NEAREST)),Ne(r,()=>r.texImage2D(i,0,n,e,t,0,o,s,null)),Ne(r,()=>r.bindTexture(r.TEXTURE_2D,null)),a}function zg(r){return r.internalFormatFloat}function yk(r,e,t,n){let[o,s]=Yu(e,t);return If(r,o,s,zg(n),n.textureFormatFloat,r.FLOAT)}function Bg(r){return r.internalFormatHalfFloat}function bk(r,e,t,n){let[o,s]=Yu(e,t);return If(r,o,s,Bg(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function Vg(r){return r.downloadTextureFormat}function wk(r,e,t,n){let[o,s]=Yu(e,t);return If(r,o,s,Vg(n),r.RGBA,r.UNSIGNED_BYTE)}function Gg(r){return r.internalFormatPackedFloat}function _k(r,e,t,n){let[o,s]=ji(e,t);return If(r,o,s,Gg(n),r.RGBA,r.FLOAT)}function jg(r){return r.internalFormatPackedHalfFloat}function kk(r,e,t,n){let[o,s]=ji(e,t);return If(r,o,s,jg(n),r.RGBA,n.textureTypeHalfFloat)}function vk(r,e,t){let n=0,o=3*4,s=3*4+2*4;return Ne(r,()=>r.bindBuffer(r.ARRAY_BUFFER,t)),$g(r,e,"clipSpacePos",t,3,s,n)&&$g(r,e,"uv",t,2,s,o)}function Ck(r,e,t,n,o,s){Ne(r,()=>r.bindTexture(r.TEXTURE_2D,e));let a,i,l;o instanceof Uint8Array?(a=new Uint8Array(t*n*4),i=r.UNSIGNED_BYTE,l=r.RGBA):(a=new Float32Array(t*n*4),i=r.FLOAT,l=s.internalFormatPackedFloat),a.set(o),Ne(r,()=>r.texImage2D(r.TEXTURE_2D,0,l,t,n,0,r.RGBA,i,a)),Ne(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Ik(r,e,t){Ne(r,()=>r.bindTexture(r.TEXTURE_2D,e)),t.data instanceof Uint8Array?Ne(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,t.width,t.height,0,r.RGBA,r.UNSIGNED_BYTE,t.data)):Ne(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,t)),Ne(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Nk(r,e,t,n){let o=r.createBuffer();Ne(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let i=4*4*e*t;return Ne(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,i,r.STREAM_READ)),Ne(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,0)),Ne(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function Sk(r,e,t){let n=r,o=new Float32Array(t);return n.bindBuffer(n.PIXEL_PACK_BUFFER,e),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function Tk(r,e,t,n){let[o,s]=Yu(e,t),a=4,i=new Uint8Array(tA(e*t,a));return Ne(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function Ek(r,e,t,n,o,s,a,i){let l=r,u=new Float32Array(rA(s,a));return l.bindBuffer(l.PIXEL_PACK_BUFFER,e),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function Ak(r,e,t){let n=new Float32Array(e*t*4);return Ne(r,()=>r.readPixels(0,0,t,e,r.RGBA,r.FLOAT,n)),n}var Wg=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=W().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,V_(t,e)):this.gl=Mn(t);let n="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(W().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",a="OES_texture_half_float";if(this.textureFloatExtension=fp(this.gl,s),kn(this.gl,a))this.textureHalfFloatExtension=fp(this.gl,a);else if(W().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),kn(this.gl,o))this.colorBufferHalfFloatExtension=fp(this.gl,o);else if(W().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",kn(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(kn(this.gl,o))this.colorBufferHalfFloatExtension=this.gl.getExtension(o);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=gk(this.gl),this.indexBuffer=xk(this.gl),this.framebuffer=Z_(this.gl),this.textureConfig=_f(this.gl,this.textureHalfFloatExtension)}get debug(){return W().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. 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-      int y;
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-      int index = resTexRC.x * ${e[1]} + resTexRC.y;
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-      int index = resTexRC.x * ${e[1]} + resTexRC.y;
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-      }
-    `;let n=Math.ceil(r[1]/2);return`
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-      int index = resTexRC.x * ${t[1]} + resTexRC.y;
-      int r = 2 * (index / ${n});
-      int c = imod(index, ${n}) * 2;
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-    `:r[0]===1?`
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-        ivec2 resTexRC = ivec2(resultUV.yx *
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-    }
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-        return sampleTexture(${e}, halfCR);
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-      vec4 ${n}(int row, int col) {
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-    vec4 ${n}(int row, int col) {
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-    }
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-      float index = dot(vec3(row, col, ${c}), vec3(${e[1]}, 1, 1));
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-    }
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-      }
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-        float ${n}(int row, int col, int depth) {
-          float texR = float(row);
-          float texC = dot(vec2(col, depth), vec2(${s}, 1));
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-    float ${n}(int row, int col, int depth) {
-      float texR = dot(vec2(row, col), vec2(${e[1]}, 1));
-      float texC = float(depth);
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-      return sampleTexture(${t}, uv);
-    }
-  `;let f=Zu(t);return`
-      float ${n}(int row, int col, int depth) {
-        // Explicitly use integer operations as dot() only works on floats.
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-        vec2 uv = uvFromFlat(${c}, ${p}, index);
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-        float x = getAAtOutCoords();
-        float y = unaryOperation(x);
-
-        setOutput(y);
-      }
-    `}},hr="if (isnan(x)) return x;",HA="return x;",Fk="return abs(x);";var KA="return (x >= 0.0) ? x : (exp(x) - 1.0);",XA=hr+`
-  return (x < 0.0) ? 0.0 : x;
-`,YA=hr+`
-  return (x < 0.0) ? 0.0 : min(6.0, x);
-`,Sf="return x;";var ZA="return x;",JA=`
-  vec4 result;
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-  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
-  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
-  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
-  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
-
-  return result;
-`,QA=`
-  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
-  bvec4 isNaN = isnan(x);
-
-  result.r = isNaN.r ? x.r : result.r;
-  result.g = isNaN.g ? x.g : result.g;
-  result.b = isNaN.b ? x.b : result.b;
-  result.a = isNaN.a ? x.a : result.a;
-
-  return result;
-`,e2=`
-  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
-  bvec4 isNaN = isnan(x);
-
-  result.r = isNaN.r ? x.r : result.r;
-  result.g = isNaN.g ? x.g : result.g;
-  result.b = isNaN.b ? x.b : result.b;
-  result.a = isNaN.a ? x.a : result.a;
-
-  return result;
-`,Fs=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=`
-      vec4 unaryOperation(vec4 x) {
-        ${t}
-      }
-
-      void main() {
-        vec4 x = getAAtOutCoords();
-        vec4 y = unaryOperation(x);
-
-        setOutput(y);
-      }
-    `}};var Ok=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=Wt("rc",t),o=Le(t),s=jA(t,n),a=n.slice(-2),i=t<=1?"rc":`vec2(${a.join(",")})`;this.userCode=`
-      void main() {
-        ${o} rc = getOutputCoords();
-        vec4 packedInput = getA(${s});
-
-        setOutput(getChannel(packedInput, ${i}));
-      }
-    `}};var Y5=Tr.whereImpl,Z5=1e-7,J5=1e-4,Hg={};function Q5(r){return r in Hg||(Hg[r]={}),Hg[r]}var e8=128,t8=600;function r8(){return W().global.screen==null?1024:W().global.screen.height*W().global.screen.width*window.devicePixelRatio*t8/1024/1024}var Kg=class extends Ws{constructor(e){super();if(this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.warnedAboutMemory=!1,this.warnedAboutCPUBackend=!1,this.pendingDeletes=0,this.disposed=!1,!W().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=Mn(W().getNumber("WEBGL_VERSION"));this.binaryCache=Q5(W().getNumber("WEBGL_VERSION")),this.gpgpu=new Wg(t),this.canvas=t.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpu=e,this.binaryCache={},this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;this.textureManager=new Rk(this.gpgpu),this.numMBBeforeWarning=r8(),this.texData=new Ja(this,vs())}numDataIds(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes}write(e,t,n){if((W().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||W().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let o={};return this.texData.set(o,{shape:t,dtype:n,values:e,usage:Ar.UPLOAD,refCount:1,complexParentRefCount:0}),o}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}decComplexRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.complexParentRefCount>0&&t.refCount--}}move(e,t,n,o){if(W().getBool("DEBUG")&&this.checkNumericalProblems(t),o==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:o,values:t,usage:Ar.UPLOAD,refCount:1,complexParentRefCount:0})}disposeIntermediateTensorInfo(e){let t=e.dataId;if(this.texData.has(t)){let n=this.texData.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}readSync(e){let t=this.texData.get(e),{values:n,dtype:o,complexTensorInfos:s,slice:a,shape:i,isPacked:l}=t;if(a!=null){let m;l?m=new Fs(i,Sf):m=new rn(i,Sf);let f=this.runWebGLProgram(m,[{dataId:e,shape:i,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(e);if(o==="string")return n;let u=this.activeTimers!=null,c;u&&(c=y.now());let p;if(o==="complex64"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=N.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(e);return u&&(this.downloadWaitMs+=y.now()-c),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let d=this.pendingRead.get(e);return new Promise(h=>d.push(h))}let t=this.texData.get(e),{values:n,shape:o,slice:s,dtype:a,complexTensorInfos:i,isPacked:l}=t;if(s!=null){let d;l?d=new Fs(o,Sf):d=new rn(o,Sf);let h=this.runWebGLProgram(d,[{dataId:e,shape:o,dtype:a}],a),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(e);if(!W().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&W().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let u=null,c;if(a!=="complex64"&&W().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(e);let d=this.texData.get(c.dataId);u=this.gpgpu.createBufferFromTexture(d.texture,...dl(o))}this.pendingRead.set(e,[]),a!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(a==="complex64"){let d=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),h=d[0],g=d[1];p=N.mergeRealAndImagArrays(h,g)}else if(u==null)p=this.getValuesFromTexture(e);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(u,d)}c!=null&&this.disposeIntermediateTensorInfo(c);let m=this.convertAndCacheOnCPU(e,p),f=this.pendingRead.get(e);return this.pendingRead.delete(e),f.forEach(d=>d(m)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e),this.pendingDeletes--),m}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(o=>y.decodeString(o))}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return Ce(e.shape,e.dtype,n)}checkNumericalProblems(e){if(e!=null)for(let t=0;t<e.length;t++){let n=e[t];if(!G_(n))throw W().getBool("WEBGL_RENDER_FLOAT32_CAPABLE")?Error(`The value ${n} cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'`):Error(`The value ${n} cannot be represented on this device.`)}}getValuesFromTexture(e){let{shape:t,dtype:n,isPacked:o}=this.texData.get(e),s=y.sizeFromShape(t);if(W().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){let m=this.decode(e),f=this.texData.get(m.dataId),d=this.gpgpu.downloadMatrixFromPackedTexture(f.texture,...dl(t)).subarray(0,s);return this.disposeIntermediateTensorInfo(m),d}let a=W().getBool("WEBGL_PACK")&&o===!0,i=a?Cf(t):t,l=a?new mk(i):new pk(i),u=this.runWebGLProgram(l,[{shape:i,dtype:n,dataId:e}],"float32"),c=this.texData.get(u.dataId),p=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(c.texture,c.texShape[0],c.texShape[1]).subarray(0,s);return this.disposeIntermediateTensorInfo(u),p}async time(e){let t=this.activeTimers,n=[],o=!1;this.programTimersStack==null?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,e();let s=y.flatten(this.activeTimers.map(l=>l.query)).filter(l=>l!=null),a=y.flatten(this.activeTimers.map(l=>l.name)).filter(l=>l!=null);this.activeTimers=t,o&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};if(W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let l=await Promise.all(s);i.kernelMs=y.sum(l),i.getExtraProfileInfo=()=>l.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(e){return W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=y.now(),e)}async getQueryTime(e){if(W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e){if(this.pendingDisposal.has(e))return;if(this.pendingRead.has(e)){this.pendingDisposal.add(e),this.pendingDeletes++;return}if(!this.texData.has(e))return;if(this.texData.get(e).complexParentRefCount>0){this.texData.get(e).refCount--;return}this.releaseGPUData(e);let{complexTensorInfos:t}=this.texData.get(e);t!=null&&(this.texData.get(t.real.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(t.real),this.texData.get(t.imag.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(t.imag)),this.texData.delete(e)}releaseGPUData(e){let{texture:t,dtype:n,texShape:o,usage:s,isPacked:a,slice:i}=this.texData.get(e),l=i&&i.origDataId||e,u=this.dataRefCount.get(l);u>1?this.dataRefCount.set(l,u-1):(this.dataRefCount.delete(l),t!=null&&(this.numBytesInGPU-=this.computeBytes(o,n),this.textureManager.releaseTexture(t,o,s,a)));let c=this.texData.get(e);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture}getDataInfo(e){return this.texData.get(e)}getCPUBackend(){return W().getBool("WEBGL_CPU_FORWARD")?(this.cpuBackend==null&&(this.cpuBackend=vs().findBackend("cpu")),this.cpuBackend):null}shouldExecuteOnCPU(e,t=e8){let n=this.getCPUBackend();return!W().getBool("IS_TEST")&&!this.warnedAboutCPUBackend&&n==null&&(console.warn("Your application contains ops that are small enough to be executed on the CPU backend, however the CPU backend cannot be found. Consider importing the CPU backend (@tensorflow/tfjs-backend-cpu) for better performance."),this.warnedAboutCPUBackend=!0),n!=null&&e.every(o=>this.texData.get(o.dataId).texture==null&&y.sizeFromShape(o.shape)<t)}getGPGPUContext(){return this.gpgpu}where(e){N.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");let t=e.dataSync();return Y5(e.shape,t)}packedUnaryOp(e,t,n){let o=new Fs(e.shape,t);return this.compileAndRun(o,[e],n)}abs(e){if(this.shouldExecuteOnCPU([e])&&e.dtype!=="complex64"){let n=qg(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,n)}if(W().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,Fk,e.dtype);let t=new rn(e.shape,Fk);return this.compileAndRun(t,[e])}makeTensorInfo(e,t,n){let o;if(t==="string"&&n!=null&&n.length>0&&y.isString(n[0])){let s=n.map(a=>y.encodeString(a));o=this.write(s,e,t)}else o=this.write(n,e,t);return this.texData.get(o).usage=null,{dataId:o,shape:e,dtype:t}}makeOutput(e,t,n){let{dataId:o}=this.makeTensorInfo(e,t,n);return vs().makeTensorFromDataId(o,e,t,this)}unpackTensor(e){let t=new Ok(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}packTensor(e){let t=new $k(e.shape),n=!0;return this.runWebGLProgram(t,[e],e.dtype,null,n)}packedReshape(e,t){let n=[La(e.shape),...za(e.shape)],o={dtype:e.dtype,shape:n,dataId:e.dataId},s=[La(t),...za(t)],a=new Nf(s,n),i=!0,l=this.runWebGLProgram(a,[o],e.dtype,null,i);return{dataId:l.dataId,shape:t,dtype:l.dtype}}decode(e){let t=this.texData.get(e),{isPacked:n,shape:o,dtype:s}=t,a=Cf(o),i;n?i=new ck(a):i=new uk(a);let l=!0,u=this.runWebGLProgram(i,[{shape:a,dtype:s,dataId:e}],s,null,l);return{dtype:s,shape:o,dataId:u.dataId}}runWebGLProgram(e,t,n,o,s=!1){let a=this.makeTensorInfo(e.outputShape,n),i=this.texData.get(a.dataId);if(e.packedOutput&&(i.isPacked=!0),e.outPackingScheme===fl.DENSE){let h=dl(e.outputShape);i.texShape=h.map(g=>g*2)}if(e.outTexUsage!=null&&(i.usage=e.outTexUsage),y.sizeFromShape(a.shape)===0)return i.values=y.getTypedArrayFromDType(a.dtype,0),a;let l=[],u=t.map(h=>{if(h.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let g=this.texData.get(h.dataId);if(g.texture==null){if(!e.packedInputs&&y.sizeFromShape(h.shape)<=W().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:h.shape,texData:null,isUniform:!0,uniformValues:g.values};e.packedInputs&&(g.isPacked=!0,g.shape=h.shape)}else if(!!g.isPacked!=!!e.packedInputs)h=g.isPacked?this.unpackTensor(h):this.packTensor(h),l.push(h),g=this.texData.get(h.dataId);else if(g.isPacked&&!hl(g.shape,h.shape)){let x=h,b=h.shape;h.shape=g.shape,h=this.packedReshape(h,b),l.push(h),g=this.texData.get(h.dataId),x.shape=b}return this.uploadToGPU(h.dataId),{shape:h.shape,texData:g,isUniform:!1}});this.uploadToGPU(a.dataId);let c={shape:a.shape,texData:i,isUniform:!1},p=gA(e,u,c),m=this.getAndSaveBinary(p,()=>fA(this.gpgpu,e,u,c)),f=this.activeTimers!=null,d;if(f&&(d=this.startTimer()),hA(this.gpgpu,m,u,c,o),l.forEach(h=>this.disposeIntermediateTensorInfo(h)),f&&(d=this.endTimer(d),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(d)})),!W().getBool("WEBGL_LAZILY_UNPACK")&&i.isPacked&&s===!1){let h=this.unpackTensor(a);return this.disposeIntermediateTensorInfo(a),h}return a}compileAndRun(e,t,n,o,s=!1){n=n||t[0].dtype;let a=this.runWebGLProgram(e,t,n,o,s);return vs().makeTensorFromDataId(a.dataId,a.shape,a.dtype)}getAndSaveBinary(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(W().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(t=>{this.gpgpu.deleteProgram(this.binaryCache[t].webGLProgram),delete this.binaryCache[t]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=V(()=>{if(!W().get("WEBGL_RENDER_FLOAT32_ENABLED")){let e=W().getBool("DEBUG");W().set("DEBUG",!1);let t=this.abs(le(1e-8)).dataSync()[0];if(W().set("DEBUG",e),t>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?Z5:J5}uploadToGPU(e){let t=this.texData.get(e),{shape:n,dtype:o,values:s,texture:a,usage:i,isPacked:l}=t;if(a!=null)return;let u=this.activeTimers!=null,c;u&&(c=y.now());let p=t.texShape;if(p==null&&(p=tk(n,l),t.texShape=p),s!=null){let m=Cf(n),f,d=p[1],h=p[0],g=s instanceof Uint8Array;l?([d,h]=ji(p[0],p[1]),f=new dk(m,[h,d],g)):f=new fk(m,[h,d],g);let x=this.makeTensorInfo([h,d],o);g?this.texData.get(x.dataId).usage=Ar.PIXELS:this.texData.get(x.dataId).usage=Ar.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(x.dataId),d,h,s);let b=!0,w=this.runWebGLProgram(f,[x],o,null,b),_=this.texData.get(w.dataId);t.texture=_.texture,t.texShape=_.texShape,t.isPacked=_.isPacked,t.usage=_.usage,this.disposeIntermediateTensorInfo(x),this.texData.delete(w.dataId),t.values=null,u&&(this.uploadWaitMs+=y.now()-c)}else{let m=this.acquireTexture(p,i,o,l);t.texture=m}}convertAndCacheOnCPU(e,t){let n=this.texData.get(e),{dtype:o}=n;return this.releaseGPUData(e),t!=null&&(n.values=n8(t,o)),n.values}acquireTexture(e,t,n,o){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){let s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${s} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(e,t,o)}computeBytes(e,t){return e[0]*e[1]*y.bytesPerElement(t)}};function n8(r,e){if(e==="float32"||e==="complex64")return r;if(e==="int32"||e==="bool"){let t=e==="int32"?new Int32Array(r.length):new Uint8Array(r.length);for(let n=0;n<t.length;++n)t[n]=Math.round(r[n]);return t}else throw new Error(`Unknown dtype ${e}`)}var Pk="3.0.0";function Mk(){W().set("WEBGL_FORCE_F16_TEXTURES",!0)}Vc.isBrowser()&&yu("webgl",()=>new Kg,2);var o8={forceHalfFloat:Mk};var Xg=`
-  if (isnan(a)) return a;
-  if (isnan(b)) return b;
-`;var qo=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.userCode=`
-      float binaryOperation(float a, float b) {
-        ${e}
-      }
-
-      void main() {
-        float a = getAAtOutCoords();
-        float b = getBAtOutCoords();
-        setOutput(binaryOperation(a, b));
-      }
-    `}};var gl=`
-  result.r = isNaN.r > 0. ? NAN : result.r;
-  result.g = isNaN.g > 0. ? NAN : result.g;
-  result.b = isNaN.b > 0. ? NAN : result.b;
-  result.a = isNaN.a > 0. ? NAN : result.a;
-`;var Os=class{constructor(e,t,n,o=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=N.assertAndGetBroadcastShape(t,n);let s=this.outputShape.length,a="";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)a=`
-          result.y = 0.;
-          result.z = 0.;
-          result.w = 0.;
-        `;else if(a=`
-          ${Le(s)} coords = getOutputCoords();
-        `,s===1)a+=`
-            result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;
-            result.z = 0.;
-            result.w = 0.;
-          `;else{let l=Wt("coords",s);a+=`
-            bool nextRowOutOfBounds =
-              (${l[s-2]} + 1) >= ${this.outputShape[s-2]};
-            bool nextColOutOfBounds =
-              (${l[s-1]} + 1) >= ${this.outputShape[s-1]};
-            result.y = nextColOutOfBounds ? 0. : result.y;
-            result.z = nextRowOutOfBounds ? 0. : result.z;
-            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
-          `}this.userCode=`
-      vec4 binaryOperation(vec4 a, vec4 b) {
-        ${e}
-      }
-
-      void main() {
-        vec4 a = getAAtOutCoords();
-        vec4 b = getBAtOutCoords();
-
-        vec4 result = binaryOperation(a, b);
-        ${a}
-
-        setOutput(result);
-      }
-    `}};function Ut(r){let{inputs:e,backend:t}=r,{x:n}=e;return t.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var t2={kernelName:us,backendName:"webgl",kernelFunc:Ut};function nn(r){let{inputs:e,backend:t}=r,{real:n,imag:o}=e,s=t.makeTensorInfo(n.shape,"complex64"),a=t.texData.get(s.dataId),i=Ut({inputs:{x:n},backend:t}),l=t.texData.get(i.dataId);l.complexParentRefCount++;let u=Ut({inputs:{x:o},backend:t}),c=t.texData.get(u.dataId);return c.complexParentRefCount++,a.complexTensorInfos={real:i,imag:u},s}var r2={kernelName:ql,backendName:"webgl",kernelFunc:nn};var Lk="return (a < 0.) ? b * a : a;",zk=`
-  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
-  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
-`;function s8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{alpha:s}=n,a=t.makeTensorInfo([],"float32",y.createScalarValue(s,"float32")),i=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Os(zk,o.shape,a.shape):new qo(Lk,o.shape,a.shape),l=t.runWebGLProgram(i,[o,a],o.dtype);return t.disposeIntermediateTensorInfo(a),l}var n2={kernelName:so,backendName:"webgl",kernelFunc:s8};var Bk="return (a < 0.) ? b * a : a;",Vk=`
-  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
-  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
-`;function i8(r){let{inputs:e,backend:t}=r,{x:n,alpha:o}=e,s=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Os(Vk,n.shape,o.shape):new qo(Bk,n.shape,o.shape);return t.runWebGLProgram(s,[n,o],n.dtype)}var o2={kernelName:yo,backendName:"webgl",kernelFunc:i8};var Yg="if (isnan(x)) return x;",s2=`
-  if (isnan(a)) return a;
-  if (isnan(b)) return b;
-`,i2=`
-  result.r = isNaN.r > 0. ? NAN : result.r;
-  result.g = isNaN.g > 0. ? NAN : result.g;
-  result.b = isNaN.b > 0. ? NAN : result.b;
-  result.a = isNaN.a > 0. ? NAN : result.a;
-`;function ve({opSnippet:r,packedOpSnippet:e,cpuKernelImpl:t,dtype:n}){return({inputs:o,backend:s})=>{let{x:a}=o,i=s,l=n||a.dtype;if(i.shouldExecuteOnCPU([a])&&t!=null){let p=i.texData.get(a.dataId),m=t(p.values,l);return i.makeTensorInfo(a.shape,l,m)}let u=W().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&e!=null,c;return u?c=new Fs(a.shape,e):c=new rn(a.shape,r),i.runWebGLProgram(c,[a],l)}}function it({opSnippet:r,packedOpSnippet:e,checkOutOfBounds:t=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:a,backend:i})=>{let{a:l,b:u}=a,c=i;if(n&&l.dtype==="complex64"){let d=c.texData.get(l.dataId),h=c.texData.get(u.dataId),[g,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[_,k]=w,E={dataId:_.dataId,dtype:_.dtype,shape:l.shape},S={dataId:k.dataId,dtype:k.dtype,shape:u.shape},R=new qo(r,l.shape,u.shape);return c.runWebGLProgram(R,[E,S],fr(_.dtype,k.dtype))}),b=nn({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||fr(l.dtype,u.dtype);if(c.shouldExecuteOnCPU([l,u])&&o!=null){let d=c.texData.get(l.dataId),h=c.texData.get(u.dataId),[g,x]=o(l.shape,u.shape,d.values,h.values,p),b=c.makeTensorInfo(x,p),w=c.texData.get(b.dataId);return w.values=g,b}let m=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&e!=null,f;return m?f=new Os(e,l.shape,u.shape,t):f=new qo(r,l.shape,u.shape),c.runWebGLProgram(f,[l,u],p)}}function xl(r,e=!1){if(r==="linear")return e?ZA:HA;if(r==="relu")return e?QA:XA;if(r==="elu")return e?JA:KA;if(r==="relu6")return e?e2:YA;if(r==="prelu")return e?Vk:Bk;if(r==="leakyrelu")return e?zk:Lk;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var Tf=class{constructor(e,t,n,o=!1,s=!1,a=!1,i=null,l=!1,u=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;let c=o?e[1]:e[2],p=Math.ceil(c/2),m=o?"i * 2, rc.y":"rc.y, i * 2",f=s?"rc.z, i * 2":"i * 2, rc.z",d=o?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",x="";i&&(l?g=`vec4 activation(vec4 a) {
-          vec4 b = getPreluActivationWeightsAtOutCoords();
-          ${i}
-        }`:u?g=`vec4 activation(vec4 a) {
-          vec4 b = getLeakyreluAlphaAtOutCoords();
-          ${i}
-        }`:g=`vec4 activation(vec4 x) {
-          ${i}
-        }`,x="result = activation(result);");let b=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),l&&this.variableNames.push("preluActivationWeights"),u&&this.variableNames.push("leakyreluAlpha");let w="rc.x",_="rc.x";e[0]<t[0]?w=`int(min(float(rc.x), ${e[0]-1}.))`:t[0]<e[0]&&(_=`int(min(float(rc.x), ${t[0]-1}.))`),this.userCode=`
-      ${g}
-
-      const float sharedDimension = ${p}.0;
-
-      vec4 dot2x2ARowBCol(ivec3 rc) {
-        vec4 result = vec4(0);
-        for (int i = 0; i < ${p}; i++) {
-          int batchA = ${w};
-          int batchB = ${_};
-          vec4 a = getMatrixA(batchA, ${m});
-          vec4 b = getMatrixB(batchB, ${f});
-
-          // These swizzled products need to be separately added.
-          // See: https://github.com/tensorflow/tfjs/issues/1735
-          result += (${d[0]} * ${h[0]});
-          result += (${d[1]} * ${h[1]});
-        }
-        return result;
-      }
-
-      void main() {
-        ivec3 rc = getOutputCoords();
-        vec4 result = dot2x2ARowBCol(rc);
-
-        ${b}
-
-        ${x}
-
-        setOutput(result);
-      }
-    `}};var Gk={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},Zg=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.userCode=`
-      float binaryOpComplex(
-          float areal, float aimag, float breal, float bimag) {
-        ${e}
-      }
-
-      void main() {
-        float areal = getARealAtOutCoords();
-        float aimag = getAImagAtOutCoords();
-        float breal = getBRealAtOutCoords();
-        float bimag = getBImagAtOutCoords();
-        setOutput(binaryOpComplex(areal, aimag, breal, bimag));
-      }
-    `}};var a2="return a * b;";function jk(r){let{inputs:e,backend:t}=r,{a:n,b:o}=e,s=N.upcastType(n.dtype,o.dtype);if(n.dtype==="complex64"){let i=t.texData.get(n.dataId),l=t.texData.get(o.dataId),u=new Zg(Gk.REAL,n.shape,o.shape),c=new Zg(Gk.IMAG,n.shape,o.shape),p=[{dataId:i.complexTensorInfos.real.dataId,dtype:i.complexTensorInfos.real.dtype,shape:n.shape},{dataId:i.complexTensorInfos.imag.dataId,dtype:i.complexTensorInfos.imag.dtype,shape:n.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:o.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:o.shape}],m=t.runWebGLProgram(u,p,"float32"),f=t.runWebGLProgram(c,p,"float32"),d=nn({inputs:{real:m,imag:f},backend:t});return t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(f),d}if(t.shouldExecuteOnCPU([n,o])){let i=t.texData.get(n.dataId),l=t.texData.get(o.dataId),[u,c]=$A(n.shape,o.shape,i.values,l.values,s),p=t.makeTensorInfo(c,s),m=t.texData.get(p.dataId);return m.values=u,p}let a;return W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?a=new Os(a2,n.shape,o.shape):a=new qo(a2,n.shape,o.shape),t.runWebGLProgram(a,[n,o],s)}var l2={kernelName:fo,backendName:"webgl",kernelFunc:jk};function u2(r,e,t){let n=[La(r.shape),...za(r.shape)],o={dtype:r.dtype,shape:n,dataId:r.dataId},s=[La(e),...za(e)],a=new Nf(s,n),i=!0,l=t.runWebGLProgram(a,[o],r.dtype,null,i);return{dataId:l.dataId,shape:e,dtype:l.dtype}}function ce(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{shape:s}=n,a=t,i=y.sizeFromShape(o.shape),l=y.inferFromImplicitShape(s,i),u=y.sizeFromShape(l);y.assert(i===u,()=>`The new shape (${l}) has ${u} elements and the old shape (${o.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`);let c=a.texData.get(o.dataId);return c.isPacked&&!hl(o.shape,l)&&!(c.texture!==null&&hl(c.shape,l))?u2(o,l,a):(a.incRef(o.dataId),{dataId:o.dataId,shape:l,dtype:o.dtype})}var c2={kernelName:fs,backendName:"webgl",kernelFunc:ce};var Jg=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:a}=e;this.outputShape=[o,a];let i=Math.floor(n/4)*4,l=n%4,u="sumValue += dot(values, ones);";if(t!=null){let p=1/t;u=`sumValue += dot(values * ${y.isInt(p)?p.toPrecision(2):p}, ones);`}let c="";s%n>0&&(c=`
-        if (inIdx < 0 || inIdx >= ${s}) {
-          return 0.0;
-        }
-      `),this.userCode=`
-      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
-
-      float getValue(int batch, int inIdx) {
-        ${c}
-        return getX(batch, inIdx);
-      }
-
-      void main() {
-        ivec2 coords = getOutputCoords();
-        int batch = coords[0];
-        int outIdx = coords[1];
-        int inOffset = outIdx * ${n};
-
-        float sumValue = 0.0;
-
-        for (int i = 0; i < ${i}; i += 4) {
-          int inIdx = inOffset + i;
-          vec4 values = vec4(
-            getValue(batch, inIdx),
-            getValue(batch, inIdx + 1),
-            getValue(batch, inIdx + 2),
-            getValue(batch, inIdx + 3)
-          );
-
-          ${u}
-        }
-
-        int inIdx = inOffset + ${i};
-        if (${l===1}) {
-          vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);
-
-          ${u}
-        } else if (${l===2}) {
-          vec4 values = vec4(
-            getValue(batch, inIdx),
-            getValue(batch, inIdx + 1), 0.0, 0.0);
-
-          ${u}
-        } else if (${l===3}) {
-          vec4 values = vec4(
-            getValue(batch, inIdx),
-            getValue(batch, inIdx + 1),
-            getValue(batch, inIdx + 2), 0.0);
-
-          ${u}
-        }
-        setOutput(sumValue);
-      }
-    `}};var Wk=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:a}=e;this.outputShape=[o,a];let i="0.0",l="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",l="min"):t==="max"&&(i="-1.0 / 1e-20",l="max");let u=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?u="sumValue":t==="prod"?u="prodValue":t==="all"?u="allValue":t==="any"&&(u="anyValue");let c=Math.floor(n/4)*4,p=n%4,m=`
-      if (${t==="sum"}) {
-        sumValue += dot(values, ones);
-      } else if (${t==="prod"}) {
-        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);
-        prodValue *= tmp[0] * tmp[1];
-      } else {
-        minMaxValue = ${l}(values, minMaxValue);
-      }
-    `,f="vec4";t==="all"?(i="1.0",m=`
-        bool reducedAllValue = all(values);
-        float floatedReducedAllValue = float(reducedAllValue);
-        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
-      `,f="bvec4"):t==="any"&&(i="0.0",m=`
-        bool reducedAnyValue = any(values);
-        float floatedReducedAnyValue = float(reducedAnyValue);
-        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
-      `,f="bvec4");let d="";s%n>0&&(d=`
-        if (inIdx < 0 || inIdx >= ${s}) {
-          return initializationValue;
-        }
-      `),this.userCode=`
-      const float initializationValue = ${i};
-      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
-
-      float getValue(int batch, int inIdx) {
-        ${d}
-        return getX(batch, inIdx);
-      }
-
-      void main() {
-        ivec2 coords = getOutputCoords();
-        int batch = coords[0];
-        int outIdx = coords[1];
-        int inOffset = outIdx * ${n};
-
-        vec4 minMaxValue = vec4(${i});
-        float prodValue = 1.0;
-        float sumValue = 0.0;
-        float allValue = 1.0;
-        float anyValue = 0.0;
-
-        for (int i = 0; i < ${c}; i += 4) {
-          int inIdx = inOffset + i;
-          ${f} values = ${f}(
-            getValue(batch, inIdx),
-            getValue(batch, inIdx + 1),
-            getValue(batch, inIdx + 2),
-            getValue(batch, inIdx + 3)
-          );
-
-          ${m}
-        }
-
-        int inIdx = inOffset + ${c};
-        if (${p===1}) {
-          ${f} values = ${f}(
-            getValue(batch, inIdx),
-            initializationValue,
-            initializationValue,
-            initializationValue
-          );
-
-          ${m}
-        } else if (${p===2}) {
-          ${f} values = ${f}(
-            getValue(batch, inIdx),
-            getValue(batch, inIdx + 1),
-            initializationValue,
-            initializationValue
-          );
-
-          ${m}
-        } else if (${p===3}) {
-          ${f} values = ${f}(
-            getValue(batch, inIdx),
-            getValue(batch, inIdx + 1),
-            getValue(batch, inIdx + 2),
-            initializationValue
-          );
-
-          ${m}
-        }
-        setOutput(${u});
-      }
-    `}};function a8(r){let e=[];for(;e.length===0||e[e.length-1].outSize!==1;){let t=e.length?e[e.length-1].outSize:r[1],n=N.computeOptimalWindowSize(t);e.push({inSize:t,windowSize:n,outSize:Math.ceil(t/n)})}return e}function vn(r,e,t,n){let o=a8(r.shape),s=r;for(let a=0;a<o.length;a++){let{inSize:i,windowSize:l,outSize:u}=o[a],c,p;t==="mean"?c=a===0?new Jg({windowSize:l,inSize:i,batchSize:r.shape[0],outSize:u},i):new Jg({windowSize:l,inSize:i,batchSize:r.shape[0],outSize:u}):c=new Wk({windowSize:l,inSize:i,batchSize:r.shape[0],outSize:u},t),p=s,s=n.runWebGLProgram(c,[s],e),p.dataId!==r.dataId&&n.disposeIntermediateTensorInfo(p)}return s}var Uk=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let a=0;a<n.length;a++)n[a]=e[t[a]];this.outputShape=n,this.rank=n.length;let o=Le(this.rank),s=l8(t);this.userCode=`
-    void main() {
-      ${o} resRC = getOutputCoords();
-      setOutput(getA(${s}));
-    }
-    `}};function l8(r){let e=r.length;if(e>6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],n=new Array(e);for(let o=0;o<r.length;o++)n[r[o]]=t[o];return n.join()}var qk=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(e.length);for(let c=0;c<n.length;c++)n[c]=e[t[c]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let o=Le(this.rank),s=Dk("rc",this.rank),a=new Array(this.rank);for(let c=0;c<t.length;c++)a[t[c]]=s[c];let i=`vec2(${a.slice(-2).join()})`,l=`++${s[this.rank-1]} < ${n[this.rank-1]}`,u=`getChannel(getA(${a.join()}), ${i})`;this.userCode=`
-    void main() {
-      ${o} rc = getOutputCoords();
-      vec4 result = vec4(0.);
-      result[0] = ${u};
-      if(${l}) {
-        result[1] = ${u};
-      }
-      --${s[this.rank-1]};
-      if(++${s[this.rank-2]} < ${n[this.rank-2]}) {
-        result[2] = ${u};
-        if(${l}) {
-          result[3] = ${u};
-        }
-      }
-      setOutput(result);
-    }
-    `}};function yl(r,e,t){let n=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new qk(r.shape,e):new Uk(r.shape,e);return t.runWebGLProgram(n,[r],r.dtype)}function p2(r,e,t,n){let o=e,s=r.shape.length,a=y.parseAxisParam(o,r.shape),i=a,l=N.getAxesPermutation(i,s),u=l!=null,c=r;u&&(c=yl(r,l,n),i=N.getInnerMostAxes(i.length,s)),N.assertAxesAreInnerMostDims("sum",i,s);let[p,m]=N.computeOutAndReduceShapes(c.shape,i),f=p;t&&(f=N.expandShapeToKeepDim(p,a));let d=y.sizeFromShape(m),g=y.sizeFromShape(r.shape)/d,x=ce({inputs:{x:c},attrs:{shape:[g,d]},backend:n}),b=hu(r.dtype),w=vn(x,b,"sum",n),_=ce({inputs:{x:w},attrs:{shape:f},backend:n});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(w),u&&n.disposeIntermediateTensorInfo(c),_}function Ef(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n;return p2(o,s,a,t)}var m2={kernelName:To,backendName:"webgl",kernelFunc:Ef};function zt(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{perm:s}=n,a=t,i=o.shape.length,l=new Array(i);for(let c=0;c<l.length;c++)l[c]=o.shape[s[c]];let u;if(a.shouldExecuteOnCPU([o])){let p=a.texData.get(o.dataId).values,m=wp(p,o.shape,o.dtype,s,l);u=a.makeTensorInfo(l,o.dtype);let f=a.texData.get(u.dataId);f.values=m}else u=yl(o,s,a);return u}var f2={kernelName:Ro,backendName:"webgl",kernelFunc:zt};var Hk=1e3;function Ju({a:r,b:e,transposeA:t,transposeB:n,backend:o,bias:s=null,preluActivationWeights:a=null,leakyreluAlpha:i=0,activation:l=null}){let u=r.shape.length,c=e.shape.length,p=t?r.shape[u-2]:r.shape[u-1],m=n?e.shape[c-1]:e.shape[c-2],f=t?r.shape[u-1]:r.shape[u-2],d=n?e.shape[c-2]:e.shape[c-1],h=r.shape.slice(0,-2),g=e.shape.slice(0,-2),x=y.sizeFromShape(h),b=y.sizeFromShape(g),w=x===b||x===1||b===1;y.assert(u>=2&&c>=2&&w,()=>`Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${h}) and (${g}).`);let k=(x>b?r.shape.slice(0,-2):e.shape.slice(0,-2)).concat([f,d]);y.assert(p===m,()=>`Error in matMul: inner shapes (${p}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${n} must match.`);let E=t?[x,p,f]:[x,f,p],S=n?[b,d,m]:[b,m,d],R=ce({inputs:{x:r},backend:o,attrs:{shape:E}}),F=ce({inputs:{x:e},backend:o,attrs:{shape:S}}),P=[R,F],j=Math.max(x,b),G=t?R.shape[1]:R.shape[2],U=s!=null,X=a!=null,K=l==="leakyrelu",Z=l!=null?xl(l,!0):null,te=U||X||K||Z!=null,Y;if((f===1||d===1)&&G>Hk&&te===!1){let ie=R,se=F;t&&(ie=zt({inputs:{x:R},backend:o,attrs:{perm:[0,2,1]}}),P.push(ie)),n&&(se=zt({inputs:{x:F},backend:o,attrs:{perm:[0,2,1]}}),P.push(se));let pe=d!==1,ae=d===1,xe=ie;pe&&(xe=ce({inputs:{x:ie},backend:o,attrs:{shape:[j,G,1]}}),P.push(xe));let ge=d===1?2:1,we=se;ae&&(we=ce({inputs:{x:se},backend:o,attrs:{shape:[j,1,G]}}),P.push(we));let ke=jk({inputs:{a:xe,b:we},backend:o});Y=Ef({inputs:{x:ke},backend:o,attrs:{axis:ge,keepDims:!0}}),P.push(ke)}else{let ie=fr(r.dtype,e.dtype),se=new Tf(E,S,[j,f,d],t,n,U,Z,X,K),pe=[R,F];if(s!=null&&pe.push(s),X&&pe.push(a),K){let ae=o.makeTensorInfo([],"float32",y.createScalarValue(i,"float32"));pe.push(ae),P.push(ae)}Y=o.runWebGLProgram(se,pe,ie)}let re=ce({inputs:{x:Y},backend:o,attrs:{shape:k}});P.push(Y);for(let ie of P)o.disposeIntermediateTensorInfo(ie);return re}function u8(r){let{inputs:e,backend:t,attrs:n}=r,{a:o,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:p}=n;return Ju({a:o,b:s,transposeA:l,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:p,activation:c})}var d2={kernelName:bs,backendName:"webgl",kernelFunc:u8};var h2="return abs(x);";function c8(r){let{inputs:e,backend:t}=r,{x:n}=e;if(t.shouldExecuteOnCPU([n])&&n.dtype!=="complex64"){let s=t.texData.get(n.dataId),a=qg(s.values);return t.makeTensorInfo(n.shape,n.dtype,a)}let o;return W().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new Fs(n.shape,h2):o=new rn(n.shape,h2),t.runWebGLProgram(o,[n],n.dtype)}var g2={kernelName:ss,backendName:"webgl",kernelFunc:c8};var p8=hr+`
-  if (abs(x) > 1.) {
-    return NAN;
-  }
-  return acos(x);
-`,m8=ve({opSnippet:p8}),x2={kernelName:Ks,backendName:"webgl",kernelFunc:m8};var f8=hr+`
-  if (x < 1.0) return NAN;
-return log(x + sqrt(x * x - 1.0));`,d8=ve({opSnippet:f8}),y2={kernelName:Xs,backendName:"webgl",kernelFunc:d8};var b2="return a + b;",h8=it({opSnippet:b2,packedOpSnippet:b2,supportsComplex:!0,cpuKernelImpl:xA}),w2={kernelName:xn,backendName:"webgl",kernelFunc:h8};var Kk=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let n=[];this.variableNames.forEach(s=>{n.push(`float v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=`
-      void main() {
-        ${n.join(`
-        `)}
-
-        float result = ${o};
-        setOutput(result);
-      }
-    `}};var Xk=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let n=[];this.variableNames.forEach(s=>{n.push(`vec4 v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=`
-      void main() {
-        ${n.join(`
-        `)}
-
-        vec4 result = ${o};
-        setOutput(result);
-      }
-    `}};function Qg(r){let{inputs:e,backend:t}=r,n=e;if(n.length===1)return Ut({inputs:{x:n[0]},backend:t});if(n.length>W().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let l=Math.floor(n.length/2),u=Qg({inputs:n.slice(0,l),backend:t}),c=Qg({inputs:n.slice(l),backend:t});return Qg({inputs:[u,c],backend:t})}let o=n.map(l=>l.dtype).reduce((l,u)=>fr(l,u)),s=n.map(l=>l.shape),i=W().getBool("WEBGL_PACK")?new Xk(n[0].shape,s):new Kk(n[0].shape,s);return t.runWebGLProgram(i,n,o)}var _2={kernelName:Wn,backendName:"webgl",kernelFunc:Qg};function g8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=N.getAxesPermutation(u,i),p=o;c!=null&&(p=zt({inputs:{x:o},backend:t,attrs:{perm:c}}),u=N.getInnerMostAxes(u.length,i)),N.assertAxesAreInnerMostDims("all",u,i);let[m,f]=N.computeOutAndReduceShapes(p.shape,u),d=y.sizeFromShape(f),h=ce({inputs:{x:p},backend:t,attrs:{shape:[-1,d]}}),g=vn(h,h.dtype,"all",t),x;if(a){let b=N.expandShapeToKeepDim(m,l);x=ce({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=ce({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(p),x}var k2={kernelName:Vl,backendName:"webgl",kernelFunc:g8};function x8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=N.getAxesPermutation(u,i),p=o;c!=null&&(p=zt({inputs:{x:o},backend:t,attrs:{perm:c}}),u=N.getInnerMostAxes(u.length,i)),N.assertAxesAreInnerMostDims("any",u,i);let[m,f]=N.computeOutAndReduceShapes(p.shape,u),d=y.sizeFromShape(f),h=ce({inputs:{x:p},backend:t,attrs:{shape:[-1,d]}}),g=vn(h,h.dtype,"any",t),x;if(a){let b=N.expandShapeToKeepDim(m,l);x=ce({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=ce({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(p),x}var v2={kernelName:Gl,backendName:"webgl",kernelFunc:x8};var Yk=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:o,batchSize:s,outSize:a}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[s,a];let i=t==="max"?">":"<",l=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`
-      void main() {
-        ivec2 coords = getOutputCoords();
-        int batch = coords[0];
-        int outIdx = coords[1];
-        int inOffset = outIdx * ${o};
-
-        int bestIndex = inOffset;
-        float bestValue = getA(batch, bestIndex);
-
-        for (int i = 0; i < ${o}; i++) {
-          int inIdx = ${l};
-          float candidate = getA(batch, inIdx);
-          if (candidate ${i} bestValue) {
-            bestValue = candidate;
-            bestIndex = inIdx;
-          }
-        }
-        setOutput(float(bestIndex));
-      }
-    `}};var Zk=class{constructor(e,t,n,o){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,y.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let s=e[e.length-1],a=Math.ceil(s/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),o||this.variableNames.push("bestIndicesA");let i=this.outputShape,l=i.length,u=Le(l),c=Wt("coords",l),p,m;if(a===1){m=l+1;let R=Le(m);p=`
-        ${R} sourceLocR = ${R}(${c.join()}, 0);
-        ++${c[l-1]};
-        ${R} sourceLocG = ${R}(${c.join()}, 0);
-        ++${c[l-2]};
-        ${R} sourceLocA = ${R}(${c.join()}, 0);
-        --${c[l-1]};
-        ${R} sourceLocB = ${R}(${c.join()}, 0);
-        --${c[l-2]};`}else m=l,p=`
-        ${u} sourceLocR = coords;
-        ++${c[l-1]};
-        ${u} sourceLocG = coords;
-        ++${c[l-2]};
-        ${u} sourceLocA = coords;
-        --${c[l-1]};
-        ${u} sourceLocB = coords;
-        --${c[l-2]};`;let f=["x","y","z","w","u","v"].slice(0,m),d="."+f[m-1],h=f.map(R=>"int "+R),g=Wt("sourceLocR",m-1).concat("inIdx.r"),x=Wt("sourceLocG",m-1).concat("inIdx.g"),b=Wt("sourceLocB",m-1).concat("inIdx.b"),w=Wt("sourceLocA",m-1).concat("inIdx.a"),_=n==="max"?"greaterThan":"lessThan",k=o?"":`
-          inIdx = round(vec4(getBestIndicesAChannel(${g.join()}),
-                             getBestIndicesAChannel(${x.join()}),
-                             getBestIndicesAChannel(${b.join()}),
-                             getBestIndicesAChannel(${w.join()})));`,E=`vec4(
-            getAChannel(${g.join()}),
-            hasNextCol ? getAChannel(${x.join()}) : 0.,
-            hasNextRow ? getAChannel(${b.join()}) : 0.,
-            hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`,S=o?"":`
-      float getBestIndicesAChannel(${h.join()}) {
-        return getChannel(getBestIndicesA(${f.join()}),
-                                          vec2(${f.slice(-2).join()}));
-      }`;this.userCode=`
-      float getAChannel(${h.join()}) {
-        return getChannel(getA(${f.join()}),
-                               vec2(${f.slice(-2).join()}));
-      }
-      ${S}
-      void main() {
-        ${u} coords = getOutputCoords();
-        bool hasNextCol = ${c[l-1]} < ${i[l-1]-1};
-        bool hasNextRow = ${c[l-2]} < ${i[l-2]-1};
-        ${p}
-        ivec4 srcIdx = ivec4(sourceLocR${d}, sourceLocG${d},
-          sourceLocB${d}, sourceLocA${d}) * ${t};
-        ivec4 inIdx = srcIdx;
-        vec4 bestIndex = vec4(inIdx);
-        vec4 bestValue = ${E};
-
-        for (int i = 0; i < ${t}; i++) {
-          inIdx = srcIdx;
-          ${k}
-          vec4 candidate = ${E};
-          bvec4 nan = isnan(candidate);
-          bvec4 replace = bvec4(
-            vec4(${_}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));
-
-          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,
-                           replace.y  ? candidate.y : bestValue.y,
-                           replace.z  ? candidate.z : bestValue.z,
-                           replace.w  ? candidate.w : bestValue.w);
-          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));
-          srcIdx++;
-        }
-        setOutput(bestIndex);
-      }
-    `}};function C2(r,e,t,n=null){let o=e.shape[0],s=e.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let a=N.computeOptimalWindowSize(s),i={windowSize:a,inSize:s,batchSize:o,outSize:Math.ceil(s/a)},l=new Yk(i,t,n==null),u=[e];n!=null&&u.push(n);let c=r.runWebGLProgram(l,u,"int32");if(c.shape[1]===1)return c;let p=C2(r,e,t,c);return r.disposeIntermediateTensorInfo(c),p}function I2(r,e,t,n=null){let o=n!=null?n.shape:e.shape,s=o[o.length-1],a=N.computeOptimalWindowSize(s),i=new Zk(o,a,t,n==null),l=n==null?[e]:[e,n],u=r.runWebGLProgram(i,l,"int32");if(u.shape.length===e.shape.length){let c=I2(r,e,t,u);return r.disposeIntermediateTensorInfo(u),c}return u}function ex(r,e,t,n){let o=[t];if(N.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),o,e.shape.length),!W().getBool("WEBGL_PACK_REDUCE")||e.shape.length<=2){let s=[],[a,i]=N.computeOutAndReduceShapes(e.shape,o),l=y.sizeFromShape(i),u=ce({inputs:{x:e},backend:r,attrs:{shape:[-1,l]}});s.push(u);let c=C2(r,u,n);s.push(c);let p=ce({inputs:{x:c},backend:r,attrs:{shape:a}});return s.forEach(m=>r.disposeIntermediateTensorInfo(m)),p}return I2(r,e,n)}function y8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s}=n,a=y.parseAxisParam(s,o.shape),i=N.getAxesPermutation(a,o.shape.length),l=o,u=[];i!=null&&(l=zt({inputs:{x:o},backend:t,attrs:{perm:i}}),u.push(l),a=N.getInnerMostAxes(a.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMax",[a[0]],l.shape.length);let c=ex(t,l,a[0],"max");return u.forEach(p=>t.disposeIntermediateTensorInfo(p)),c}var N2={kernelName:Un,backendName:"webgl",kernelFunc:y8};function b8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s}=n,a=y.parseAxisParam(s,o.shape),i=N.getAxesPermutation(a,o.shape.length),l=o,u=[];i!=null&&(l=zt({inputs:{x:o},backend:t,attrs:{perm:i}}),u.push(l),a=N.getInnerMostAxes(a.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMin",[a[0]],l.shape.length);let c=ex(t,l,a[0],"min");return u.forEach(p=>t.disposeIntermediateTensorInfo(p)),c}var S2={kernelName:na,backendName:"webgl",kernelFunc:b8};var w8=hr+`
-  if (abs(x) > 1.) {
-    return NAN;
-  }
-  return asin(x);
-`,_8=ve({opSnippet:w8}),T2={kernelName:Ys,backendName:"webgl",kernelFunc:_8};var k8=hr+"return log(x + sqrt(x * x + 1.0));",v8=ve({opSnippet:k8}),E2={kernelName:Zs,backendName:"webgl",kernelFunc:v8};var C8=hr+`
-  return atan(x);
-`,I8=ve({opSnippet:C8}),A2={kernelName:Js,backendName:"webgl",kernelFunc:I8};var N8=s2+`
-  return atan(a, b);
-`,S8=`
-  vec4 result = atan(a, b);
-  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
-  `+i2+`
-  return result;
-`,T8=it({opSnippet:N8,packedOpSnippet:S8}),D2={kernelName:ei,backendName:"webgl",kernelFunc:T8};var E8=hr+`
-  if ((x < -1.0) || (x > 1.0)) return NAN;
-return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,A8=ve({opSnippet:E8}),$2={kernelName:Qs,backendName:"webgl",kernelFunc:A8};var Wi=class{constructor(e,t,n,o=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,p=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.top,d=e.padInfo.left;this.outputShape=e.outShape;let h=t==="avg",g=`((batch  * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,x=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b="0.0";if(h||(b="-1.0 / 1e-20"),n){let R=">=";this.userCode=`
-        const ivec2 strides = ivec2(${i}, ${l});
-        const ivec2 pads = ivec2(${f}, ${d});
-
-        void main() {
-          ivec4 coords = getOutputCoords();
-          int batch = coords[0];
-          int d = coords[3];
-
-          ivec2 xRCCorner = coords.yz * strides - pads;
-          int xRCorner = xRCCorner.x;
-          int xCCorner = xRCCorner.y;
-
-          // max/min x(?, ?, d) to get y(yR, yC, d).
-          // ? = to be determined
-          float minMaxValue = 0.0;
-          float minMaxValueFound = 0.0;
-          int minMaxPosition = 0;
-          float avgValue = 0.0;
-
-          for (int wR = 0; wR < ${p};
-              wR += ${u}) {
-            int xR = xRCorner + wR;
-
-            if (xR < 0 || xR >= ${e.inHeight}) {
-              continue;
-            }
-
-            for (int wC = 0; wC < ${m};
-                wC += ${c}) {
-              int xC = xCCorner + wC;
-
-              if (xC < 0 || xC >= ${e.inWidth}) {
-                continue;
-              }
-
-              float value = getX(batch, xR, xC, d);
-
-              // If a min / max value has already been found, use it. If not,
-              // use the current value.
-              float currMinMaxValue = mix(
-                  value, minMaxValue, minMaxValueFound);
-              if (value ${R} currMinMaxValue) {
-                minMaxValue = value;
-                minMaxValueFound = 1.0;
-                minMaxPosition = ${o?s?g:x:`wR * ${m} + wC`};
-              }
-            }
-          }
-          setOutput(float(minMaxPosition));
-        }
-      `;return}let w="max",_=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(_="avgValue / count");let k=Math.floor(a/4)*4,E=a%4,S=`
-      if (${h}) {
-        avgValue += dot(values, ones);
-      } else {
-        minMaxValue = ${w}(values, minMaxValue);
-      }
-    `;this.userCode=`
-      const ivec2 strides = ivec2(${i}, ${l});
-      const ivec2 pads = ivec2(${f}, ${d});
-      const float initializationValue = ${b};
-      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
-
-      float count = 0.0;
-
-      float getValue(int batch, int xR, int xC, int d) {
-        if (xC < 0 || xC >= ${e.inWidth}) {
-          return initializationValue;
-        }
-        count += 1.0;
-        return getX(batch, xR, xC, d);
-      }
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int batch = coords[0];
-        int d = coords[3];
-
-        ivec2 xRCCorner = coords.yz * strides - pads;
-        int xRCorner = xRCCorner.x;
-        int xCCorner = xRCCorner.y;
-
-        // max/min x(?, ?, d) to get y(yR, yC, d).
-        // ? = to be determined
-        vec4 minMaxValue = vec4(${b});
-        float avgValue = 0.0;
-        count = 0.0;
-
-        for (int wR = 0; wR < ${p};
-            wR += ${u}) {
-          int xR = xRCorner + wR;
-
-          if (xR < 0 || xR >= ${e.inHeight}) {
-            continue;
-          }
-
-          for (int wC = 0; wC < ${k}; wC += 4) {
-            int xC = xCCorner + wC * ${c};
-
-            vec4 values = vec4(
-              getValue(batch, xR, xC, d),
-              getValue(batch, xR, xC + ${c}, d),
-              getValue(batch, xR, xC + 2 * ${c}, d),
-              getValue(batch, xR, xC + 3 * ${c}, d)
-            );
-
-            ${S}
-          }
-
-          int xC = xCCorner + ${k};
-          if (${E===1}) {
-            vec4 values = vec4(
-              getValue(batch, xR, xC, d),
-              initializationValue,
-              initializationValue,
-              initializationValue
-            );
-
-            ${S}
-          } else if (${E===2}) {
-            vec4 values = vec4(
-              getValue(batch, xR, xC, d),
-              getValue(batch, xR, xC + ${c}, d),
-              initializationValue,
-              initializationValue
-            );
-
-            ${S}
-          } else if (${E===3}) {
-            vec4 values = vec4(
-              getValue(batch, xR, xC, d),
-              getValue(batch, xR, xC + ${c}, d),
-              getValue(batch, xR, xC + 2 * ${c}, d),
-              initializationValue
-            );
-
-            ${S}
-          }
-        }
-        setOutput(${_});
-      }
-    `}},Qu=class{constructor(e,t,n,o=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideDepth,l=e.strideHeight,u=e.strideWidth,c=e.dilationDepth,p=e.dilationHeight,m=e.dilationWidth,f=e.effectiveFilterDepth,d=e.effectiveFilterHeight,h=e.effectiveFilterWidth,g=e.padInfo.front,x=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let w=t==="avg",_="0.0";if(w||(_="-1.0 / 1e-20"),n){let P=">=";this.userCode=`
-        const ivec3 strides =
-            ivec3(${i}, ${l}, ${u});
-        const ivec3 pads = ivec3(${g}, ${x}, ${b});
-
-        void main() {
-          ivec5 coords = getOutputCoords();
-          int batch = coords.x;
-          int ch = coords.u;
-
-          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
-          int xDCorner = xCorner.x;
-          int xRCorner = xCorner.y;
-          int xCCorner = xCorner.z;
-
-          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
-          // ? = to be determined
-          float minMaxValue = 0.0;
-          float minMaxValueFound = 0.0;
-          int minMaxPosition = 0;
-
-          for (int wD = 0; wD < ${f};
-              wD += ${c}) {
-            int xD = xDCorner + wD;
-
-            if (xD < 0 || xD >= ${e.inDepth}) {
-              continue;
-            }
-
-            for (int wR = 0; wR < ${d};
-                wR += ${p}) {
-              int xR = xRCorner + wR;
-
-              if (xR < 0 || xR >= ${e.inHeight}) {
-                continue;
-              }
-
-              for (int wC = 0; wC < ${h};
-                  wC += ${m}) {
-                int xC = xCCorner + wC;
-
-                if (xC < 0 || xC >= ${e.inWidth}) {
-                  continue;
-                }
-
-                float value = getX(batch, xD, xR, xC, ch);
-
-                // If a min / max value has already been found, use it. If not,
-                // use the current value.
-                float currMinMaxValue = mix(
-                    value, minMaxValue, minMaxValueFound);
-                if (value ${P} currMinMaxValue) {
-                  minMaxValue = value;
-                  minMaxValueFound = 1.0;
-                  minMaxPosition = ${o?s?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${d} * ${h} +
-                      wR * ${h} + wC`};
-                }
-              }
-            }
-          }
-          setOutput(float(minMaxPosition));
-        }
-      `;return}let k="max",E=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(E="avgValue / count");let S=Math.floor(a/4)*4,R=a%4,F=`
-      if (${w}) {
-        avgValue += dot(values, ones);
-      } else {
-        minMaxValue = ${k}(values, minMaxValue);
-      }
-    `;this.userCode=`
-      const ivec3 strides =
-        ivec3(${i}, ${l}, ${u});
-      const ivec3 pads = ivec3(${g}, ${x}, ${b});
-      const float initializationValue = ${_};
-      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
-
-      float count = 0.0;
-
-      float getValue(int batch, int xD, int xR, int xC, int ch) {
-        if (xC < 0 || xC >= ${e.inWidth}) {
-          return initializationValue;
-        }
-        count += 1.0;
-        return getX(batch, xD, xR, xC, ch);
-      }
-
-      void main() {
-        ivec5 coords = getOutputCoords();
-        int batch = coords.x;
-        int ch = coords.u;
-
-        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
-        int xDCorner = xCorner.x;
-        int xRCorner = xCorner.y;
-        int xCCorner = xCorner.z;
-
-        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
-        // ? = to be determined
-        vec4 minMaxValue = vec4(${_});
-        float avgValue = 0.0;
-        count = 0.0;
-
-        for (int wD = 0; wD < ${f};
-            wD += ${c}) {
-          int xD = xDCorner + wD;
-
-          if (xD < 0 || xD >= ${e.inDepth}) {
-            continue;
-          }
-
-          for (int wR = 0; wR < ${d};
-            wR += ${p}) {
-            int xR = xRCorner + wR;
-
-            if (xR < 0 || xR >= ${e.inHeight}) {
-              continue;
-            }
-
-            for (int wC = 0; wC < ${S}; wC += 4) {
-              int xC = xCCorner + wC * ${m};
-
-              vec4 values = vec4(
-                getValue(batch, xD, xR, xC, ch),
-                getValue(batch, xD, xR, xC + ${m}, ch),
-                getValue(batch, xD, xR, xC + 2 * ${m}, ch),
-                getValue(batch, xD, xR, xC + 3 * ${m}, ch)
-              );
-
-              ${F}
-            }
-
-            int xC = xCCorner + ${S};
-            if (${R===1}) {
-              vec4 values = vec4(
-                getValue(batch, xD, xR, xC, ch),
-                initializationValue,
-                initializationValue,
-                initializationValue
-              );
-
-              ${F}
-            } else if (${R===2}) {
-              vec4 values = vec4(
-                getValue(batch, xD, xR, xC, ch),
-                getValue(batch, xD, xR, xC + ${m}, ch),
-                initializationValue,
-                initializationValue
-              );
-
-              ${F}
-            } else if (${R===3}) {
-              vec4 values = vec4(
-                getValue(batch, xD, xR, xC, ch),
-                getValue(batch, xD, xR, xC + ${m}, ch),
-                getValue(batch, xD, xR, xC + 2 * ${m}, ch),
-                initializationValue
-              );
-
-              ${F}
-            }
-          }
-          setOutput(${E});
-        }
-      }
-    `}};function D8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e;$s(o,"avgPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:l}=n,u=1;y.assert(N.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=N.computePool2DInfo(o.shape,s,a,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return Ut({inputs:{x:o},backend:t});let p=new Wi(c,"avg",!1);return t.runWebGLProgram(p,[o],"float32")}var R2={kernelName:qn,backendName:"webgl",kernelFunc:D8};function $8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:l,dataFormat:u}=n,c=[1,1,1],p=N.computePool3DInfo(o.shape,s,a,c,i,l,u),m=new Qu(p,"avg",!1);return t.runWebGLProgram(m,[o],"float32")}var F2={kernelName:oa,backendName:"webgl",kernelFunc:$8};var Jk=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,o=e.strideHeight,s=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=l-1-e.padInfo.top,p=u-1-e.padInfo.left,m=1/(t*n);this.userCode=`
-      const ivec2 pads = ivec2(${c}, ${p});
-      const float avgMultiplier = float(${m});
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int d = coords[3];
-
-        ivec2 dyRCCorner = coords.yz - pads;
-        int dyRCorner = dyRCCorner.x;
-        int dyCCorner = dyRCCorner.y;
-
-        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
-        // ? = to be determined. : = across all values in that axis.
-        float dotProd = 0.0;
-        for (int wR = 0; wR < ${l};
-            wR += ${a}) {
-          float dyR = float(dyRCorner + wR) / ${o}.0;
-
-          if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
-            continue;
-          }
-          int idyR = int(dyR);
-
-          for (int wC = 0; wC < ${u};
-            wC+= ${i}) {
-            float dyC = float(dyCCorner + wC) / ${s}.0;
-
-            if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
-                fract(dyC) > 0.0) {
-              continue;
-            }
-            int idyC = int(dyC);
-
-            float dyValue = getDy(b, idyR, idyC, d);
-
-            dotProd += dyValue * avgMultiplier;
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}},Qk=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,o=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,l=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,p=e.effectiveFilterDepth,m=e.effectiveFilterHeight,f=e.effectiveFilterWidth,d=p-1-e.padInfo.front,h=m-1-e.padInfo.top,g=f-1-e.padInfo.left,x=1/(t*n*o);this.userCode=`
-      const ivec3 pads = ivec3(${d}, ${h}, ${g});
-      const float avgMultiplier = float(${x});
-
-      void main() {
-        ivec5 coords = getOutputCoords();
-        int batch = coords.x;
-        int ch = coords.u;
-
-        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
-        int dyDCorner = dyCorner.x;
-        int dyRCorner = dyCorner.y;
-        int dyCCorner = dyCorner.z;
-
-        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
-        // dx(xD, xR, xC, ch).
-        // ? = to be determined. : = across all values in that axis.
-        float dotProd = 0.0;
-
-        for (int wD = 0; wD < ${p};
-            wD += ${l}) {
-          float dyD = float(dyDCorner + wD) / ${s}.0;
-
-          if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
-            continue;
-          }
-          int idyD = int(dyD);
-
-          for (int wR = 0; wR < ${m};
-              wR += ${u}) {
-            float dyR = float(dyRCorner + wR) / ${a}.0;
-
-            if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
-                fract(dyR) > 0.0) {
-              continue;
-            }
-            int idyR = int(dyR);
-
-            for (int wC = 0; wC < ${f};
-                wC += ${c}) {
-              float dyC = float(dyCCorner + wC) / ${i}.0;
-
-              if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
-                  fract(dyC) > 0.0) {
-                continue;
-              }
-              int idyC = int(dyC);
-
-              float dyValue = getDy(batch, idyD, idyR, idyC, ch);
-
-              dotProd += dyValue * avgMultiplier;
-            }
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}};function R8(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=n,p=[1,1,1],m=N.computePool3DInfo(a.shape,i,l,p,u,c),f=new Qk(m);return t.runWebGLProgram(f,[o],a.dtype)}var O2={kernelName:Wl,backendName:"webgl",kernelFunc:R8};function F8(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s;$s([o,s],"avgPoolGrad");let{filterSize:i,strides:l,pad:u}=n,c=N.computePool2DInfo(a.shape,i,l,1,u),p=new Jk(c);return t.runWebGLProgram(p,[o],a.dtype)}var P2={kernelName:jl,backendName:"webgl",kernelFunc:F8};function O8(r){let{inputs:e,backend:t,attrs:n}=r,{a:o,b:s}=e,{transposeA:a,transposeB:i}=n;return Ju({a:o,b:s,transposeA:a,transposeB:i,backend:t})}var M2={kernelName:Hn,backendName:"webgl",kernelFunc:O8};var ev=class{constructor(e,t,n,o,s,a){this.outputShape=[],this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="0.0";o!=null&&(N.assertAndGetBroadcastShape(e,o),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let l="1.0";s!=null&&(N.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
-      void main() {
-        float x = getXAtOutCoords();
-        float mean = getMeanAtOutCoords();
-        float variance = getVarianceAtOutCoords();
-        float offset = ${i};
-        float scale = ${l};
-        float inv = scale * inversesqrt(variance + float(${a}));
-        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
-      }
-    `}};var tv=class{constructor(e,t,n,o,s,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";o!=null&&(N.assertAndGetBroadcastShape(e,o),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let l="vec4(1.0)";s!=null&&(N.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
-      void main() {
-        vec4 offset = ${i};
-        vec4 scale = ${l};
-
-        vec4 x = getXAtOutCoords();
-        vec4 mean = getMeanAtOutCoords();
-        vec4 variance = getVarianceAtOutCoords();
-
-        vec4 inv = scale * inversesqrt(variance + vec4(${a}));
-
-        setOutput((x - mean) * inv + offset);
-      }
-    `}};var P8=({inputs:r,backend:e,attrs:t})=>{let{x:n,mean:o,variance:s,offset:a,scale:i}=r;y.assert(o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(a==null||o.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=t;l==null&&(l=.001);let u=[n,o,s],c=null;a!=null&&(c=a.shape,u.push(a));let p=null;i!=null&&(p=i.shape,u.push(i));let m=W().getBool("WEBGL_PACK_NORMALIZATION")?new tv(n.shape,o.shape,s.shape,c,p,l):new ev(n.shape,o.shape,s.shape,c,p,l);return e.runWebGLProgram(m,u,u[0].dtype)},L2={kernelName:no,backendName:"webgl",kernelFunc:P8};var rv=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=Le(this.rank),n=`uniform int start[${this.rank}];`,o=M8(this.rank),s,a=e.map((i,l)=>`sourceLoc.${nv[l]} = start[${l}] + coords.${nv[l]};`);s=`
-        ${t} sourceLoc;
-        ${t} coords = getOutputCoords();
-        ${a.join(`
-`)}
-      `,this.userCode=`
-      ${n}
-      void main() {
-        ${s}
-        setOutput(getSource(${o}));
-      }
-    `}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}},nv=["x","y","z","w","u","v"];function M8(r){if(r===1)return"sourceLoc";if(r<=6)return nv.slice(0,r).map(e=>"sourceLoc."+e).join(",");throw Error(`Slicing for rank ${r} is not yet supported`)}var ov=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;let t=Le(this.rank),n=Wt("coords",this.rank),o=Wt("sourceLoc",this.rank),s=this.rank===1?"sourceLoc":`vec2(${o.slice(-2).join()})`,a=`getChannel(getSource(${o.join()}), ${s})`,i=`
-      result.x = ${a};
-      if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
-        ++${o[this.rank-1]};
-        result.y = ${a};
-        --${o[this.rank-1]};
-      }
-    `,l=this.rank===1?"":`
-      --${n[this.rank-1]};
-      if (++${n[this.rank-2]} < ${e[this.rank-2]}) {
-        ++${o[this.rank-2]};
-        result.z = ${a};
-        if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
-          ++${o[this.rank-1]};
-          result.w = ${a};
-        }
-      }
-    `,u=this.rank<=4?`sourceLoc = coords +
-            ${t}(${e.map((c,p)=>`start[${p}]`).join()});`:e.map((c,p)=>`${o[p]} = ${n[p]} + start[${p}];`).join(`
-`);this.userCode=`
-      uniform int start[${this.rank}];
-      void main() {
-        ${t} coords = getOutputCoords();
-        ${t} sourceLoc;
-        ${u}
-        vec4 result = vec4(0.);
-        ${i}
-        ${l}
-        setOutput(result);
-      }
-    `}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}};function L8(r,e,t,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(t,r.dtype),a=n.texData.get(s.dataId);Object.assign(a,o),a.complexParentRefCount=0,a.refCount=1,a.shape=t,a.dtype=r.dtype;let i=or.computeFlatOffset(e,y.computeStrides(r.shape));o.slice&&(i+=o.slice.flatOffset),a.slice={flatOffset:i,origDataId:o.slice&&o.slice.origDataId||r.dataId};let l=n.dataRefCount.get(a.slice.origDataId)||1;return n.dataRefCount.set(a.slice.origDataId,l+1),s}function Ba(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{begin:s,size:a}=n,[i,l]=or.parseSliceParams(o,s,a);if(or.assertParamsValid(o,i,l),y.sizeFromShape(l)===0)return t.makeTensorInfo(l,o.dtype,[]);if(t.shouldExecuteOnCPU([o])||o.dtype==="string"){let p=t.texData.get(o.dataId),m=MA(p.values,i,l,o.shape,o.dtype);return t.makeTensorInfo(l,o.dtype,m)}let{isPacked:u}=t.texData.get(o.dataId),c=or.isSliceContinous(o.shape,i,l);if(u||!c){let p=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new ov(l):new rv(l),m=p.getCustomSetupFunc(i);return t.runWebGLProgram(p,[o],o.dtype,m)}return t.uploadToGPU(o.dataId),L8(o,i,l,t)}var z2={kernelName:hs,backendName:"webgl",kernelFunc:Ba};var z8=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{blockShape:s,crops:a}=n;y.assert(o.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let i=s.reduce((b,w)=>b*w),l=N.getReshaped(o.shape,s,i),u=N.getPermuted(l.length,s.length),c=N.getReshapedPermuted(o.shape,s,i),p=N.getSliceBeginCoords(a,s.length),m=N.getSliceSize(c,a,s.length),f=[],d=ce({inputs:{x:o},backend:t,attrs:{shape:l}}),h=zt({inputs:{x:d},backend:t,attrs:{perm:u}}),g=ce({inputs:{x:h},backend:t,attrs:{shape:c}}),x=Ba({inputs:{x:g},backend:t,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>t.disposeIntermediateTensorInfo(b)),x},B2={kernelName:sa,backendName:"webgl",kernelFunc:z8};function B8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,weights:s}=e,{size:a}=n,i=t.readSync(o.dataId),l=t.readSync(s.dataId),u=Ug(i,l,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var V2={kernelName:Ul,backendName:"webgl",kernelFunc:B8};var V8="return float(a != b);",sv=it({opSnippet:V8,dtype:"bool"}),G2={kernelName:wi,backendName:"webgl",kernelFunc:sv};function Va(r){let{inputs:e,backend:t}=r,{input:n}=e,o=t.texData.get(n.dataId);return Ut({inputs:{x:o.complexTensorInfos.real},backend:t})}var j2={kernelName:cu,backendName:"webgl",kernelFunc:Va};var G8="return float(int(x));";function W2(r,e){let t=new rn(r.shape,G8),n=e.runWebGLProgram(t,[r],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function iv(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{dtype:s}=n;if(s==="complex64"){if(o.dtype==="complex64")return Ut({inputs:{x:o},backend:t});let a=xt(o.shape),i=iv({inputs:{x:o},backend:t,attrs:{dtype:"float32"}}),l=nn({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeIntermediateTensorInfo(i),l}if(o.dtype==="complex64"){let a=Va({inputs:{input:o},backend:t}),i=iv({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(a),i}if(!y.hasEncodingLoss(o.dtype,s)){let a=Ut({inputs:{x:o},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(s==="int32")return W2(o,t);if(s==="bool"){let a=t.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),l=sv({inputs:{a:o,b:a},backend:t});return t.disposeIntermediateTensorInfo(a),l}throw new Error(`Error in Cast: failed to cast ${o.dtype} to ${s}`)}var U2={kernelName:An,backendName:"webgl",kernelFunc:iv};var q2="return ceil(x);",j8=ve({opSnippet:q2,packedOpSnippet:q2,cpuKernelImpl:bA}),H2={kernelName:ti,backendName:"webgl",kernelFunc:j8};var av=class{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode=`
-      uniform float minVal;
-      uniform float maxVal;
-
-      void main() {
-        float value = getAAtOutCoords();
-        if (isnan(value)) {
-          setOutput(value);
-          return;
-        }
-
-        setOutput(clamp(value, minVal, maxVal));
-      }
-    `}getCustomSetupFunc(e,t){return(n,o)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(o,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(o,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};var lv=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=`
-      uniform float minVal;
-      uniform float maxVal;
-
-      void main() {
-        vec4 value = getAAtOutCoords();
-
-        if (any(isnan(value))) {
-          setOutput(value);
-          return;
-        }
-
-        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
-      }
-    `}getCustomSetupFunc(e,t){return(n,o)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(o,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(o,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};function W8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{clipValueMin:s,clipValueMax:a}=n,i;W().getBool("WEBGL_PACK_CLIP")?i=new lv(o.shape):i=new av(o.shape);let l=i.getCustomSetupFunc(s,a);return t.runWebGLProgram(i,[o],o.dtype,l)}var K2={kernelName:Dn,backendName:"webgl",kernelFunc:W8};var uv=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=`
-      void main() {
-        float re = abs(getRealAtOutCoords());
-        float im = abs(getImagAtOutCoords());
-        float mx = max(re, im);
-
-        // sadly the length function in glsl is not underflow-safe
-        // (at least not on Intel GPUs). So the safe solution is
-        // to ensure underflow-safety in all cases.
-        setOutput(
-          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))
-        );
-      }
-    `}};function X2(r,e){return{dataId:e.dataId,dtype:e.dtype,shape:r.shape}}function U8(r){let{inputs:e,backend:t}=r,{x:n}=e,o=t.texData.get(n.dataId),s=new uv(n.shape),a=[X2(n,o.complexTensorInfos.real),X2(n,o.complexTensorInfos.imag)];return t.runWebGLProgram(s,a,a[0].dtype)}var Y2={kernelName:ia,backendName:"webgl",kernelFunc:U8};var cv=class{constructor(e){this.outputShape=[],this.outputShape=N.computeOutShape(e,1),this.variableNames=e.map((a,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let a=1;a<t.length;a++)t[a]=t[a-1]+e[a][1];let n=[`if (yC < ${t[0]}) setOutput(getT0(yR, yC));`];for(let a=1;a<t.length;a++){let i=t[a-1];n.push(`else if (yC < ${t[a]}) setOutput(getT${a}(yR, yC-${i}));`)}let o=t.length,s=t[t.length-1];n.push(`else setOutput(getT${o}(yR, yC-${s}));`),this.userCode=`
-      void main() {
-        ivec2 coords = getOutputCoords();
-        int yR = coords.x;
-        int yC = coords.y;
-
-        ${n.join(`
-        `)}
-      }
-    `}};var pv=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=N.computeOutShape(e,t);let n=this.outputShape,o=n.length,s=Le(o),a=Wt("coords",o),i=["x","y","z","w","u","v"].slice(0,o);this.variableNames=e.map((h,g)=>`T${g}`);let l=new Array(e.length-1);l[0]=e[0][t];for(let h=1;h<l.length;h++)l[h]=l[h-1]+e[h][t];let u=i[t],c=i.slice(-2),p=i.join(),m=`if (${u} < ${l[0]}) {
-        return getChannel(
-            getT0(${p}), vec2(${c.join()}));
-        }`;for(let h=1;h<l.length;h++){let g=l[h-1];m+=`
-        if (${u} < ${l[h]}  && ${u} >= ${l[h-1]}) {
-          return getChannel(
-            getT${h}(${tx(i,u,g)}),
-            vec2(${tx(c,u,g)}));
-        }`}let f=l.length,d=l[l.length-1];m+=`
-        return getChannel(
-          getT${f}(${tx(i,u,d)}),
-          vec2(${tx(c,u,d)}));`,this.userCode=`
-      float getValue(${i.map(h=>"int "+h)}) {
-        ${m}
-      }
-
-      void main() {
-        ${s} coords = getOutputCoords();
-        vec4 result = vec4(getValue(${a}), 0., 0., 0.);
-
-        ${a[o-1]} = ${a[o-1]} + 1;
-        if (${a[o-1]} < ${n[o-1]}) {
-          result.g = getValue(${a});
-        }
-
-        ${a[o-2]} = ${a[o-2]} + 1;
-        if (${a[o-2]} < ${n[o-2]}) {
-          result.a = getValue(${a});
-        }
-
-        ${a[o-1]} = ${a[o-1]} - 1;
-        if (${a[o-2]} < ${n[o-2]} &&
-            ${a[o-1]} < ${n[o-1]}) {
-          result.b = getValue(${a});
-        }
-        setOutput(result);
-      }
-    `}};function tx(r,e,t){let n=r.indexOf(e);return r.map((s,a)=>a===n?`${s} - ${t}`:s).join()}function ec(r){let{inputs:e,backend:t}=r,{input:n}=e,o=t.texData.get(n.dataId);return Ut({inputs:{x:o.complexTensorInfos.imag},backend:t})}var Z2={kernelName:nu,backendName:"webgl",kernelFunc:ec};function tc(r,e,t){let n=r[0].dtype;if(n==="complex64"){let u=r.map(d=>Va({inputs:{input:d},backend:t})),c=r.map(d=>ec({inputs:{input:d},backend:t})),p=tc(u,e,t),m=tc(c,e,t),f=nn({inputs:{real:p,imag:m},backend:t});return u.forEach(d=>t.disposeIntermediateTensorInfo(d)),c.forEach(d=>t.disposeIntermediateTensorInfo(d)),t.disposeIntermediateTensorInfo(p),t.disposeIntermediateTensorInfo(m),f}if(n==="string"){let{tensors2D:u,outShape:c}=J2(r,e,t),p=u.map(g=>({vals:t.readSync(g.dataId),shape:g.shape})),m=u[0].shape[0]===1,f=wA(p,c,n,m),d=N.computeOutShape(r.map(g=>g.shape),e),h=t.makeTensorInfo(d,n,f);return u.forEach(g=>t.disposeIntermediateTensorInfo(g)),h}if(r.length>W().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let u=Math.floor(r.length/2),c=tc(r.slice(0,u),e,t),p=tc(r.slice(u),e,t),m=tc([c,p],e,t);return t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(p),m}if(W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&r[0].shape.length>1){let u=new pv(r.map(c=>c.shape),e);return t.runWebGLProgram(u,r,n)}let{tensors2D:o,outShape:s}=J2(r,e,t),a=new cv(o.map(u=>u.shape)),i=t.runWebGLProgram(a,o,n);o.forEach(u=>t.disposeIntermediateTensorInfo(u));let l=ce({inputs:{x:i},attrs:{shape:s},backend:t});return t.disposeIntermediateTensorInfo(i),l}function J2(r,e,t){let n=N.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>ce({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(e))]},backend:t})),outShape:n}}function mv(r){let{inputs:e,backend:t,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,e[0].shape)[0],a=N.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(a)===0)return t.makeTensorInfo(a,e[0].dtype,[]);let i=e.filter(u=>y.sizeFromShape(u.shape)>0);if(i.length===1)return Ut({inputs:{x:i[0]},backend:t});let l=i.map(u=>u.shape);return N.assertParamsConsistent(l,s),tc(i,s,t)}var Q2={kernelName:is,backendName:"webgl",kernelFunc:mv};var Af=class{constructor(e,t=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.padInfo.top,i=e.padInfo.left,l=e.strideHeight,u=e.strideWidth,c=e.dilationHeight,p=e.dilationWidth,m=e.filterHeight,f=e.filterWidth,d=Math.floor(e.inChannels/4)*4,h=e.inChannels%4,g=e.dataFormat==="channelsLast",x=g?1:2,b=g?2:3,w=g?3:1,_="",k="";n&&(o?_=`float activation(float a) {
-          float b = getPreluActivationWeightsAtOutCoords();
-          ${n}
-        }`:s?_=`float activation(float a) {
-          float b = getLeakyreluAlphaAtOutCoords();
-          ${n}
-        }`:_=`
-          float activation(float x) {
-            ${n}
-          }
-        `,k="result = activation(result);");let E=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
-      ${_}
-
-      const ivec2 strides = ivec2(${l}, ${u});
-      const ivec2 pads = ivec2(${a}, ${i});
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int batch = coords[0];
-        int d2 = coords[${w}];
-
-        ivec2 xRCCorner =
-            ivec2(coords[${x}], coords[${b}]) * strides - pads;
-        int xRCorner = xRCCorner.x;
-        int xCCorner = xRCCorner.y;
-
-        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
-        // ? = to be determined. : = across all values in that axis.
-        float dotProd = 0.0;
-        for (int wR = 0; wR < ${m}; wR++) {
-          int xR = xRCorner + wR * ${c};
-
-          if (xR < 0 || xR >= ${e.inHeight}) {
-            continue;
-          }
-
-          for (int wC = 0; wC < ${f}; wC++) {
-            int xC = xCCorner + wC * ${p};
-
-            if (xC < 0 || xC >= ${e.inWidth}) {
-              continue;
-            }
-
-            for (int d1 = 0; d1 < ${d}; d1 += 4) {
-              vec4 wValues = vec4(
-                getW(wR, wC, d1, d2),
-                getW(wR, wC, d1 + 1, d2),
-                getW(wR, wC, d1 + 2, d2),
-                getW(wR, wC, d1 + 3, d2)
-              );
-
-              if (${g}) {
-                vec4 xValues = vec4(
-                  getX(batch, xR, xC, d1),
-                  getX(batch, xR, xC, d1 + 1),
-                  getX(batch, xR, xC, d1 + 2),
-                  getX(batch, xR, xC, d1 + 3)
-                );
-                dotProd += dot(xValues, wValues);
-              } else {
-                vec4 xValues = vec4(
-                  getX(batch, d1, xR, xC),
-                  getX(batch, d1 + 1, xR, xC),
-                  getX(batch, d1 + 2, xR, xC),
-                  getX(batch, d1 + 3, xR, xC)
-                );
-                dotProd += dot(xValues, wValues);
-              }
-            }
-
-            if (${h===1}) {
-
-              if (${g}) {
-                dotProd +=
-                    getX(batch, xR, xC, ${d}) *
-                    getW(wR, wC, ${d}, d2);
-              } else {
-                dotProd +=
-                    getX(batch, ${d}, xR, xC) *
-                    getW(wR, wC, ${d}, d2);
-              }
-
-            } else if (${h===2}) {
-              vec2 wValues = vec2(
-                getW(wR, wC, ${d}, d2),
-                getW(wR, wC, ${d} + 1, d2)
-              );
-
-              if (${g}) {
-                vec2 xValues = vec2(
-                  getX(batch, xR, xC, ${d}),
-                  getX(batch, xR, xC, ${d} + 1)
-                );
-                dotProd += dot(xValues, wValues);
-              } else {
-                vec2 xValues = vec2(
-                  getX(batch, ${d}, xR, xC),
-                  getX(batch, ${d} + 1, xR, xC)
-                );
-                dotProd += dot(xValues, wValues);
-              }
-
-            } else if (${h===3}) {
-              vec3 wValues = vec3(
-                getW(wR, wC, ${d}, d2),
-                getW(wR, wC, ${d} + 1, d2),
-                getW(wR, wC, ${d} + 2, d2)
-              );
-
-              if (${g}) {
-                vec3 xValues = vec3(
-                  getX(batch, xR, xC, ${d}),
-                  getX(batch, xR, xC, ${d} + 1),
-                  getX(batch, xR, xC, ${d} + 2)
-                );
-                dotProd += dot(xValues, wValues);
-              } else {
-                vec3 xValues = vec3(
-                  getX(batch, ${d}, xR, xC),
-                  getX(batch, ${d} + 1, xR, xC),
-                  getX(batch, ${d} + 2, xR, xC)
-                );
-                dotProd += dot(xValues, wValues);
-              }
-
-            }
-          }
-        }
-
-        float result = dotProd;
-        ${E}
-        ${k}
-        setOutput(result);
-      }
-    `}},fv=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,o=e.padInfo.left,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,l=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,p=e.filterDepth,m=e.filterHeight,f=e.filterWidth,d=Math.floor(e.inChannels/4)*4,h=e.inChannels%4;this.userCode=`
-      const ivec3 strides = ivec3(${s}, ${a}, ${i});
-      const ivec3 pads = ivec3(${t}, ${n}, ${o});
-
-      void main() {
-        ivec5 coords = getOutputCoords();
-        int batch = coords.x;
-        int d2 = coords.u;
-
-        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
-        int xFCorner = xFRCCorner.x;
-        int xRCorner = xFRCCorner.y;
-        int xCCorner = xFRCCorner.z;
-
-        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
-        // y(yF, yR, yC, d2). ? = to be determined. : = across all
-        // values in that axis.
-        float dotProd = 0.0;
-        for (int wF = 0; wF < ${p}; wF++) {
-          int xF = xFCorner + wF * ${l};
-
-          if (xF < 0 || xF >= ${e.inDepth}) {
-            continue;
-          }
-
-          for (int wR = 0; wR < ${m}; wR++) {
-            int xR = xRCorner + wR * ${u};
-
-            if (xR < 0 || xR >= ${e.inHeight}) {
-              continue;
-            }
-
-            for (int wC = 0; wC < ${f}; wC++) {
-              int xC = xCCorner + wC * ${c};
-
-              if (xC < 0 || xC >= ${e.inWidth}) {
-                continue;
-              }
-
-              for (int d1 = 0; d1 < ${d}; d1 += 4) {
-                vec4 xValues = vec4(
-                  getX(batch, xF, xR, xC, d1),
-                  getX(batch, xF, xR, xC, d1 + 1),
-                  getX(batch, xF, xR, xC, d1 + 2),
-                  getX(batch, xF, xR, xC, d1 + 3)
-                );
-                vec4 wValues = vec4(
-                  getW(wF, wR, wC, d1, d2),
-                  getW(wF, wR, wC, d1 + 1, d2),
-                  getW(wF, wR, wC, d1 + 2, d2),
-                  getW(wF, wR, wC, d1 + 3, d2)
-                );
-
-                dotProd += dot(xValues, wValues);
-              }
-
-              if (${h===1}) {
-                dotProd +=
-                  getX(batch, xF, xR, xC, ${d}) *
-                  getW(wF, wR, wC, ${d}, d2);
-              } else if (${h===2}) {
-                vec2 xValues = vec2(
-                  getX(batch, xF, xR, xC, ${d}),
-                  getX(batch, xF, xR, xC, ${d} + 1)
-                );
-                vec2 wValues = vec2(
-                  getW(wF, wR, wC, ${d}, d2),
-                  getW(wF, wR, wC, ${d} + 1, d2)
-                );
-                dotProd += dot(xValues, wValues);
-              } else if (${h===3}) {
-                vec3 xValues = vec3(
-                  getX(batch, xF, xR, xC, ${d}),
-                  getX(batch, xF, xR, xC, ${d} + 1),
-                  getX(batch, xF, xR, xC, ${d} + 2)
-                );
-                vec3 wValues = vec3(
-                  getW(wF, wR, wC, ${d}, d2),
-                  getW(wF, wR, wC, ${d} + 1, d2),
-                  getW(wF, wR, wC, ${d} + 2, d2)
-                );
-                dotProd += dot(xValues, wValues);
-              }
-            }
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}};var dv=class{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let{filterWidth:o,inChannels:s,strideWidth:a,strideHeight:i,padInfo:l,outWidth:u,dilationWidth:c,dilationHeight:p,dataFormat:m}=n,{left:f,top:d}=l,h=s*o,g=Pt(),x=m==="channelsLast",b=x?0:1,w=x?1:2,_="";for(let k=0;k<=1;k++)for(let E=0;E<=1;E++)_+=`
-          blockIndex = rc.y + ${E};
-          pos = rc.x + ${k};
-
-          if(blockIndex < ${e[1]} && pos < ${e[0]}) {
-            offsetY = int(blockIndex / (${u})) * ${i} - ${d};
-            d0 = offsetY + ${p} * (pos / ${h});
-
-            if(d0 < ${t[b]} && d0 >= 0) {
-
-              offsetX = int(mod(float(blockIndex), ${u}.) * ${a}. - ${f}.);
-              d1 = offsetX + ${c} * (int(mod(float(pos), ${h}.) / ${s}.));
-
-              if(d1 < ${t[w]} && d1 >= 0) {
-
-                ch = int(mod(float(pos), ${s}.));
-
-                if (${x}) {
-                  innerDims = vec2(d1, ch);
-                  result[${k*2+E}] = getChannel(
-                    getA(d0, int(innerDims.x),
-                    int(innerDims.y)), innerDims);
-                } else {
-                  innerDims = vec2(d0, d1);
-                  result[${k*2+E}] = getChannel(
-                    getA(ch, int(innerDims.x),
-                    int(innerDims.y)), innerDims);
-                }
-              }
-            }
-          }
-        `;this.userCode=`
-      void main() {
-        ivec2 rc = getOutputCoords();
-
-        vec4 result = vec4(0);
-
-        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
-        vec2 innerDims;
-
-        ${_}
-
-        ${g.output} = result;
-      }
-    `}};function rx({x:r,filter:e,convInfo:t,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let l=r.shape,u=n.texData.get(r.dataId),c=t.inChannels,p=l[0]*l[1]*l[2],m=t.outChannels,f=t.dataFormat==="channelsLast",d=!1,h=!1,g,x=[],b=(p===1||m===1)&&c>Hk,w=l[2]%2!=0&&!!u.isPacked;if(b||!W().getBool("WEBGL_LAZILY_UNPACK")||!W().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!w){let _=f?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],k=ce({inputs:{x:r},backend:n,attrs:{shape:[1,_,t.inChannels]}}),E=ce({inputs:{x:e},backend:n,attrs:{shape:[1,t.inChannels,t.outChannels]}}),S=Ju({a:k,b:E,transposeA:d,transposeB:h,backend:n,bias:o,activation:i,preluActivationWeights:s,leakyreluAlpha:a});g=ce({inputs:{x:S},backend:n,attrs:{shape:t.outShape}}),x.push(k),x.push(E),x.push(S)}else{let _=f?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),k={dataId:r.dataId,shape:[1,_,t.inChannels],dtype:r.dtype},E=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,y.assert(hl(u.shape,k.shape),()=>`packed reshape ${u.shape} to ${k.shape} isn't free`);let S=ce({inputs:{x:e},backend:n,attrs:{shape:[1,t.inChannels,t.outChannels]}});x.push(S);let R=Ju({a:k,b:S,backend:n,transposeA:d,transposeB:h,bias:o,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),F=n.texData.get(R.dataId);y.assert(F.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=E,F.shape=t.outShape,g=Ut({inputs:{x:R},backend:n}),g.shape=t.outShape,x.push(R)}for(let _ of x)n.disposeIntermediateTensorInfo(_);return g}function nx({x:r,filter:e,convInfo:t,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:l,filterHeight:u,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=t,d=f==="channelsLast",h=l*u*c,g=m*p,x=[h,g],b=!0,w=!1,_=[],k=ce({inputs:{x:r},backend:n,attrs:{shape:r.shape.slice(1)}}),E=ce({inputs:{x:e},backend:n,attrs:{shape:[1,h,y.sizeFromShape(e.shape)/h]}});_.push(k),_.push(E);let S=new dv(x,k.shape,t),R=n.runWebGLProgram(S,[k],"float32"),F=ce({inputs:{x:R},backend:n,attrs:{shape:[1,x[0],x[1]]}});_.push(R),_.push(F);let P=o!=null,j=s!=null,G=i==="leakyrelu",U=i?xl(i,!0):null,X=new Tf(F.shape,E.shape,[1,g,t.outChannels],b,w,P,U,j,G),K=[F,E];if(o&&K.push(o),j&&K.push(s),G){let re=n.makeTensorInfo([],"float32",y.createScalarValue(a,"float32"));K.push(re),_.push(re)}let Z=n.runWebGLProgram(X,K,"float32"),te=d?[1,m,p,t.outChannels]:[1,t.outChannels,m,p],Y=ce({inputs:{x:Z},backend:n,attrs:{shape:te}});_.push(Z);for(let re of _)n.disposeIntermediateTensorInfo(re);return Y}function q8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dataFormat:l,dilations:u,dimRoundingMode:c}=n,p=N.convertConv2DDataFormat(l),m=N.computeConv2DInfo(o.shape,s.shape,a,u,i,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type==="SAME"||m.padInfo.type==="VALID"))f=rx({x:o,filter:s,convInfo:m,backend:t});else if(W().getBool("WEBGL_CONV_IM2COL")&&o.shape[0]===1)f=nx({x:o,filter:s,convInfo:m,backend:t});else{let h=new Af(m);f=t.runWebGLProgram(h,[o,s],"float32")}let d=ce({inputs:{x:f},backend:t,attrs:{shape:m.outShape}});return t.disposeIntermediateTensorInfo(f),d}var eD={kernelName:Kn,backendName:"webgl",kernelFunc:q8};var hv=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,o=e.padInfo.top,s=e.padInfo.left,a=e.dataFormat==="channelsLast";this.userCode=`
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int wR = coords.x;
-        int wC = coords.y;
-        int d1 = coords.z;
-        int d2 = coords.w;
-
-        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
-        // ? = to be determined. : = across all values in that axis.
-        float dotProd = 0.0;
-
-        for (int b = 0; b < ${e.batchSize}; b++) {
-          for (int yR = 0; yR < ${e.outHeight}; yR++) {
-            int xR = wR + yR * ${t} - ${o};
-
-            if (xR < 0 || xR >= ${e.inHeight}) {
-              continue;
-            }
-
-            for (int yC = 0; yC < ${e.outWidth}; yC++) {
-              int xC = wC + yC * ${n} - ${s};
-
-              if (xC < 0 || xC >= ${e.inWidth}) {
-                continue;
-              }
-
-              if (${a}) {
-                float dyValue = getDy(b, yR, yC, d2);
-                float xValue = getX(b, xR, xC, d1);
-                dotProd += (xValue * dyValue);
-              } else {
-                float dyValue = getDy(b, d2, yR, yC);
-                float xValue = getX(b, d1, xR, xC);
-                dotProd += (xValue * dyValue);
-              }
-
-            }
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}},gv=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,o=e.strideHeight,s=e.strideWidth,a=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,l=n-1-e.padInfo.left,u=a?1:2,c=a?2:3,p=a?3:1;this.userCode=`
-      const ivec2 pads = ivec2(${i}, ${l});
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int batch = coords[0];
-        int d1 = coords[${p}];
-
-        ivec2 dyCorner = ivec2(coords[${u}], coords[${c}]) - pads;
-        int dyRCorner = dyCorner.x;
-        int dyCCorner = dyCorner.y;
-
-        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
-        // ? = to be determined. : = across all values in that axis.
-        float dotProd = 0.0;
-        for (int wR = 0; wR < ${t}; wR++) {
-          float dyR = float(dyRCorner + wR) / ${o}.0;
-
-          if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
-            continue;
-          }
-          int idyR = int(dyR);
-
-          int wRPerm = ${t} - 1 - wR;
-
-          for (int wC = 0; wC < ${n}; wC++) {
-            float dyC = float(dyCCorner + wC) / ${s}.0;
-
-            if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
-                fract(dyC) > 0.0) {
-              continue;
-            }
-            int idyC = int(dyC);
-
-            int wCPerm = ${n} - 1 - wC;
-
-            for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
-
-              if (${a}) {
-                float xValue = getDy(batch, idyR, idyC, d2);
-                float wValue = getW(wRPerm, wCPerm, d1, d2);
-                dotProd += xValue * wValue;
-              } else {
-                float xValue = getDy(batch, d2, idyR, idyC);
-                float wValue = getW(wRPerm, wCPerm, d1, d2);
-                dotProd += xValue * wValue;
-              }
-
-            }
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}},xv=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,o=e.strideWidth,s=e.padInfo.front,a=e.padInfo.top,i=e.padInfo.left;this.userCode=`
-      void main() {
-        ivec5 coords = getOutputCoords();
-        int wF = coords.x;
-        int wR = coords.y;
-        int wC = coords.z;
-        int d1 = coords.w;
-        int d2 = coords.u;
-
-        float dotProd = 0.0;
-
-        for (int b = 0; b < ${e.batchSize}; b++) {
-          for (int yF = 0; yF < ${e.outDepth}; yF++) {
-            int xF = wF + yF * ${t} - ${s};
-
-            if (xF < 0 || xF >= ${e.inDepth}) {
-              continue;
-            }
-
-            for (int yR = 0; yR < ${e.outHeight}; yR++) {
-              int xR = wR + yR * ${n} - ${a};
-
-              if (xR < 0 || xR >= ${e.inHeight}) {
-                continue;
-              }
-
-              for (int yC = 0; yC < ${e.outWidth}; yC++) {
-                int xC = wC + yC * ${o} - ${i};
-
-                if (xC < 0 || xC >= ${e.inWidth}) {
-                  continue;
-                }
-
-                float dyValue = getDy(b, yF, yR, yC, d2);
-                float xValue = getX(b, xF, xR, xC, d1);
-                dotProd += (xValue * dyValue);
-              }
-            }
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}},yv=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,o=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,l=t-1-e.padInfo.front,u=n-1-e.padInfo.top,c=o-1-e.padInfo.left;this.userCode=`
-      const ivec3 pads = ivec3(${l}, ${u}, ${c});
-
-      void main() {
-        ivec5 coords = getOutputCoords();
-        int batch = coords.x;
-        int d1 = coords.u;
-
-
-        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
-        int dyFCorner = dyCorner.x;
-        int dyRCorner = dyCorner.y;
-        int dyCCorner = dyCorner.z;
-
-        float dotProd = 0.0;
-        for (int wF = 0; wF < ${t}; wF++) {
-          float dyF = float(dyFCorner + wF) / ${s}.0;
-
-          if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {
-            continue;
-          }
-          int idyF = int(dyF);
-
-          int wFPerm = ${t} - 1 - wF;
-
-          for (int wR = 0; wR < ${n}; wR++) {
-            float dyR = float(dyRCorner + wR) / ${a}.0;
-
-            if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
-              fract(dyR) > 0.0) {
-              continue;
-            }
-            int idyR = int(dyR);
-
-            int wRPerm = ${n} - 1 - wR;
-
-            for (int wC = 0; wC < ${o}; wC++) {
-              float dyC = float(dyCCorner + wC) / ${i}.0;
-
-              if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
-                  fract(dyC) > 0.0) {
-                continue;
-              }
-              int idyC = int(dyC);
-
-              int wCPerm = ${o} - 1 - wC;
-
-              for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
-                float xValue = getDy(batch, idyF, idyR, idyC, d2);
-                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);
-                dotProd += xValue * wValue;
-              }
-            }
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}};function H8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,dy:s}=e,{strides:a,pad:i,dataFormat:l,dimRoundingMode:u,filterShape:c}=n,p=N.convertConv2DDataFormat(l),m=N.computeConv2DInfo(o.shape,c,a,1,i,u,!1,p),f=new hv(m);return t.runWebGLProgram(f,[o,s],"float32")}var tD={kernelName:Hl,backendName:"webgl",kernelFunc:H8};function K8(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{inputShape:a,strides:i,pad:l,dataFormat:u,dimRoundingMode:c}=n,p=N.convertConv2DDataFormat(u),m=N.computeConv2DInfo(a,s.shape,i,1,l,c,!1,p),f=new gv(m);return t.runWebGLProgram(f,[o,s],"float32")}var rD={kernelName:Xn,backendName:"webgl",kernelFunc:K8};function X8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dilations:l}=n,u=N.computeConv3DInfo(o.shape,s.shape,a,l,i),c=new fv(u);return t.runWebGLProgram(c,[o,s],"float32")}var nD={kernelName:aa,backendName:"webgl",kernelFunc:X8};function Y8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,dy:s}=e,{strides:a,pad:i,filterShape:l}=n,u=N.computeConv3DInfo(o.shape,l,a,1,i),c=new xv(u);return t.runWebGLProgram(c,[o,s],"float32")}var oD={kernelName:Kl,backendName:"webgl",kernelFunc:Y8};function Z8(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{pad:a,strides:i,inputShape:l}=n,u=N.computeConv3DInfo(l,s.shape,i,1,a),c=new yv(u);return t.runWebGLProgram(c,[o,s],"float32")}var sD={kernelName:Xl,backendName:"webgl",kernelFunc:Z8};var J8=Yg+`
-  return cos(x);
-`,Q8=ve({opSnippet:J8}),iD={kernelName:Yn,backendName:"webgl",kernelFunc:Q8};var eX=`
-  float e2x = exp(-x);
-  return (e2x + 1.0 / e2x) / 2.0;
-`,tX=ve({opSnippet:eX}),aD={kernelName:ri,backendName:"webgl",kernelFunc:tX};var bv=class{constructor(e,t,n,o,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[a,i,l,u]=e,[c]=t,[p,m]=n;this.outputShape=[c,p,m,u];let f=o==="bilinear"?1:0,[d,h]=[`${i-1}.0`,`${l-1}.0`],[g,x,b]=p>1?[`${(i-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${d} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${d}`],[w,_,k]=m>1?[`${(l-1)/(m-1)}`,"(x2-x1) * width_ratio",`x1*${h} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${h}`];this.userCode=`
-      const float height_ratio = float(${g});
-      const float width_ratio = float(${w});
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int y = coords[1];
-        int x = coords[2];
-        int d = coords[3];
-
-        // get box vals
-        float y1 = getBoxes(b,0);
-        float x1 = getBoxes(b,1);
-        float y2 = getBoxes(b,2);
-        float x2 = getBoxes(b,3);
-
-        // get image in batch index
-        int bInd = round(getBoxInd(b));
-        if(bInd < 0 || bInd >= ${a}) {
-          return;
-        }
-
-        float height_scale = ${x};
-        float width_scale = ${_};
-
-        float in_y = ${b};
-        if( in_y < 0.0 || in_y > ${d} ) {
-          setOutput(float(${s}));
-          return;
-        }
-        float in_x = ${k};
-        if( in_x < 0.0 || in_x > ${h} ) {
-          setOutput(float(${s}));
-          return;
-        }
-
-        vec2 sourceFracIndexCR = vec2(in_x,in_y);
-        if(${f} == 1) {
-          // Compute the four integer indices.
-          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);
-          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));
-
-          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);
-          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);
-          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);
-          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);
-
-          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);
-
-          float top = topLeft + (topRight - topLeft) * fracCR.x;
-          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;
-          float newValue = top + (bottom - top) * fracCR.y;
-          setOutput(newValue);
-        } else {
-          // Compute the coordinators of nearest neighbor point.
-          ivec2 sourceNearestCR = ivec2(floor(
-            sourceFracIndexCR + vec2(0.5,0.5)));
-          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);
-          setOutput(newValue);
-        }
-      }
-    `}};var rX=r=>{let{inputs:e,backend:t,attrs:n}=r,{image:o,boxes:s,boxInd:a}=e,{cropSize:i,method:l,extrapolationValue:u}=n,c=new bv(o.shape,s.shape,i,l,u);return t.runWebGLProgram(c,[o,s,a],"float32")},lD={kernelName:ni,backendName:"webgl",kernelFunc:rX};var ox=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;let o=e.length,s=t?"0.0":`getX(${uD(o,"coords")})`,a=e[e.length-1],i="",l="";t?(i=n?`end != ${a-1}`:"end != 0",l=n?"end + 1":"end - 1"):(i=n?`end + pow2 < ${a}`:"end >= pow2",l=n?"end + pow2":"end - pow2"),this.userCode=`
-      uniform float index;
-      void main() {
-        ${Le(o)} coords = getOutputCoords();
-        int end = ${cD(o,"coords")};
-        float val = ${s};
-        int pow2 = int(pow(2.0, index));
-        if (${i}) {
-          int idx = ${l};
-          ${cD(o,"coords")} = idx;
-          val += getX(${uD(o,"coords")});
-        }
-        setOutput(val);
-      }
-    `}getCustomSetupFunc(e){return(t,n)=>{this.index==null&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}};function uD(r,e){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw Error(`Cumulative sum for rank ${r} is not yet supported`)}function cD(r,e){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw Error(`Cumulative sum for rank ${r} is not yet supported`)}function nX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,exclusive:a,reverse:i}=n,l=o.shape.length,u=N.getAxesPermutation([s],l),c=o;u!=null&&(c=zt({inputs:{x:o},backend:t,attrs:{perm:u}}));let p=N.getInnerMostAxes(1,l)[0];if(p!==l-1)throw new Error(`WebGL cumsum shader expects an inner-most axis=${o.shape.length-1} but got axis=${s}`);let m=o.shape[p],f=Ut({inputs:{x:c},backend:t});for(let d=0;d<=Math.ceil(Math.log2(m))-1;d++){let h=new ox(c.shape,!1,i),g=h.getCustomSetupFunc(d),x=f;f=t.runWebGLProgram(h,[f],f.dtype,g),t.disposeIntermediateTensorInfo(x)}if(a){let d=new ox(c.shape,a,i),h=f;f=t.runWebGLProgram(d,[f],f.dtype),t.disposeIntermediateTensorInfo(h)}if(u!=null){let d=N.getUndoAxesPermutation(u),h=zt({inputs:{x:f},backend:t,attrs:{perm:d}});return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(c),h}return f}var pD={kernelName:Zn,backendName:"webgl",kernelFunc:nX};function oX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,weights:s}=e,{size:a,binaryOutput:i}=n;if(o.shape.length===1){let l=t.readSync(o.dataId),u=t.readSync(s.dataId),c=Ug(l,u,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,c)}else if(o.shape.length===2){let l=t.bufferSync(o),u=t.bufferSync(s),c=yA(l,u,a,i);return t.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}var mD={kernelName:Yl,backendName:"webgl",kernelFunc:oX};var wv=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=`
-    void main() {
-      ivec4 coords = getOutputCoords();
-      int b = coords[0];
-      int h = ${this.getHeightCoordString()};
-      int w = ${this.getWidthCoordString()};
-      int d = ${this.getDepthCoordString()};
-
-      int in_h = h / ${t};
-      int offset_h = imod(h, ${t});
-      int in_w = w / ${t};
-      int offset_w = imod(w, ${t});
-      int offset_d = (offset_h * ${t} + offset_w) *
-        ${this.getOutputDepthSize()};
-      int in_d = d + offset_d;
-
-      float result = ${this.getInputSamplingString()};
-      setOutput(result);
-    }
-  `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function sX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{blockSize:s,dataFormat:a}=n;y.assert(s>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${s}`);let i=o.shape[0],l=a==="NHWC"?o.shape[1]:o.shape[2],u=a==="NHWC"?o.shape[2]:o.shape[3],c=a==="NHWC"?o.shape[3]:o.shape[1],p=l*s,m=u*s,f=c/(s*s),d=a==="NHWC"?[i,p,m,f]:[i,f,p,m],h=new wv(d,s,a);return t.runWebGLProgram(h,[o],o.dtype)}var fD={kernelName:oi,backendName:"webgl",kernelFunc:sX};var Df=class{constructor(e,t=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.inHeight,i=e.inWidth,l=e.padInfo.top,u=e.padInfo.left,c=e.strideHeight,p=e.strideWidth,m=e.dilationHeight,f=e.dilationWidth,d=e.filterHeight,h=e.filterWidth,g=e.outChannels/e.inChannels,x="",b="";n&&(o?x=`float activation(float a) {
-          float b = getPreluActivationWeightsAtOutCoords();
-          ${n}
-        }`:s?x=`float activation(float a) {
-          float b = getLeakyreluAlphaAtOutCoords();
-          ${n}
-        }`:x=`
-          float activation(float x) {
-            ${n}
-          }
-        `,b="result = activation(result);");let w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
-      ${x}
-
-      const ivec2 strides = ivec2(${c}, ${p});
-      const ivec2 pads = ivec2(${l}, ${u});
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int batch = coords.x;
-        ivec2 xRCCorner = coords.yz * strides - pads;
-        int d2 = coords.w;
-        int d1 = d2 / ${g};
-        int q = d2 - d1 * ${g};
-
-        int xRCorner = xRCCorner.x;
-        int xCCorner = xRCCorner.y;
-
-        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
-        // ? = to be determined. : = across all values in that axis.
-        float dotProd = 0.0;
-        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
-        for (int wR = 0; wR < ${d}; wR++) {
-          int xR = xRCorner + wR * ${m};
-
-          if (xR < 0 || xR >= ${a}) {
-            continue;
-          }
-
-          for (int wC = 0; wC < ${h}; wC++) {
-            int xC = xCCorner + wC * ${f};
-
-            if (xC < 0 || xC >= ${i}) {
-              continue;
-            }
-
-            float xVal = getX(batch, xR, xC, d1);
-            float wVal = getW(wR, wC, d1, q);
-            dotProd += xVal * wVal;
-          }
-        }
-
-        float result = dotProd;
-        ${w}
-        ${b}
-        setOutput(result);
-      }
-    `}};var $f=class{constructor(e,t=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;let a=e.inHeight,i=e.inWidth,l=e.padInfo.top,u=e.padInfo.left,c=e.strideHeight,p=e.strideWidth,m=e.dilationHeight,f=e.dilationWidth,d=e.filterHeight,h=e.filterWidth,g=h,x="int xR; int xC; int xCOffset;";for(let k=0;k<d;k++)for(let E=0;E<h;E++)x+=`
-          vec4 xTexelR${k}C${E*2} = vec4(0.);
-          vec4 wR${k}C${E} = vec4(0.);
-          vec4 xR${k}C${E} = vec4(0.);`;for(let k=0;k<d;k++)for(let E=0;E<g;E++){let S=E*2;if(x+=`
-          xR = xRCorner + ${k*m};
-          xC = xCCorner + ${S*f};
-        `,p===1){if(S<h&&(u%2==1?x+=`
-                xCOffset = xC + 1;
-                if(xR >= 0 && xR < ${a} && xCOffset >= 0 && xCOffset < ${i}) {
-                  xTexelR${k}C${S} = getX(batch, xR, xCOffset, d1);
-
-                  // Need to manually clear unused channels in case
-                  // we're reading from recycled texture.
-                  if(xCOffset + 1 >= ${i}) {
-                    xTexelR${k}C${S}.zw = vec2(0.);
-                  }
-                } else {
-                  xTexelR${k}C${S} = vec4(0.);
-                }
-
-                xCOffset = xC + 1 - 2;
-                if(xR >= 0 && xR < ${a} && xCOffset >= 0 && xCOffset < ${i}) {
-                  vec4 previous = getX(batch, xR, xCOffset, d1);
-
-                  // Need to manually clear unused channels in case
-                  // we're reading from recycled texture.
-                  if(xCOffset + 1 >= ${i}) {
-                    previous.zw = vec2(0.);
-                  }
-
-                  xR${k}C${S} = vec4(previous.zw, xTexelR${k}C${S}.xy);
-                } else {
-                  xR${k}C${S} = vec4(0, 0, xTexelR${k}C${S}.xy);
-                }
-              `:x+=`
-                if(xR >= 0 && xR < ${a} && xC >= 0 && xC < ${i}) {
-                  xTexelR${k}C${S} = getX(batch, xR, xC, d1);
-                } else {
-                  xTexelR${k}C${S} = vec4(0.);
-                }
-
-                xR${k}C${S} = xTexelR${k}C${S};
-              `,S+1<h)){let R=u%2==0?y.nearestLargerEven(f):f;f%2==0&&u%2==1||f%2!=0&&u%2!=1?(x+=`
-                  xCOffset = xC + ${u%2} + ${R};
-
-                  if(xR >= 0 && xR < ${a} &&
-                    xCOffset >= 0 && xCOffset < ${i}) {
-                    xTexelR${k}C${S+2} = getX(batch, xR, xCOffset, d1);
-                  }
-                `,f>1&&(x+=`
-                    xCOffset -= 2;
-                    if(xR >= 0 && xR < ${a} &&
-                      xCOffset >= 0 && xCOffset < ${i}) {
-                      xTexelR${k}C${S} = getX(batch, xR, xCOffset, d1);
-                    } else {
-                      xTexelR${k}C${S} = vec4(0.);
-                    }
-                  `),x+=`
-                  xR${k}C${S+1} = vec4(
-                    xTexelR${k}C${S}.zw, xTexelR${k}C${S+2}.xy);
-                `):x+=`
-                  xCOffset = xC + ${R};
-
-                  if(xR >= 0 && xR < ${a} &&
-                    xCOffset >= 0 && xCOffset < ${i}) {
-                    xTexelR${k}C${S+2} = getX(batch, xR, xCOffset, d1);
-                  }
-
-                  xR${k}C${S+1} = xTexelR${k}C${S+2};
-                `}}else S<h&&(x+=`
-              if(xR >= 0 && xR < ${a}) {
-            `,u%2==1?(x+=`
-                xCOffset = xC + 1 - ${p};
-                if(xCOffset >= 0 && xCOffset < ${i}) {
-                  xTexelR${k}C${S} = getX(batch, xR, xCOffset, d1);
-                } else {
-                  xTexelR${k}C${S} = vec4(0.);
-                }
-
-                if(xC + 1 >= 0 && xC + 1 < ${i}) {
-                  xTexelR${k}C${S+2} = getX(batch, xR, xC + 1, d1);
-                } else {
-                  xTexelR${k}C${S+2} = vec4(0.);
-                }
-
-                xR${k}C${S} = vec4(
-                  xTexelR${k}C${S}.zw, xTexelR${k}C${S+2}.zw);
-              `,S+1<h&&(x+=`
-                  vec4 final = vec4(0.);
-                  xCOffset = xC + 1 + ${p};
-                  if(xCOffset >= 0 && xCOffset < ${i}) {
-                    final = getX(batch, xR, xCOffset, d1);
-                  }
-                  xR${k}C${S+1} = vec4(xTexelR${k}C${S+2}.xy, final.xy);
-                `)):(x+=`
-                if(xC >= 0 && xC < ${i}) {
-                  xTexelR${k}C${S} = getX(batch, xR, xC, d1);
-                } else {
-                  xTexelR${k}C${S} = vec4(0.);
-                }
-
-                xCOffset = xC + ${p};
-                if(xCOffset >= 0 && xCOffset < ${i}) {
-                  xTexelR${k}C${S+2} = getX(batch, xR, xCOffset, d1);
-                } else {
-                  xTexelR${k}C${S+2} = vec4(0.);
-                }
-
-                xR${k}C${S} = vec4(
-                  xTexelR${k}C${S}.xy, xTexelR${k}C${S+2}.xy);
-              `,S+1<h&&(x+=`
-                  xR${k}C${S+1} = vec4(
-                    xTexelR${k}C${S}.zw, xTexelR${k}C${S+2}.zw);
-                `)),x+="}");S<h&&(x+=`
-            vec4 wTexelR${k}C${S} = getW(${k}, ${S}, d1, q);
-            wR${k}C${S} = vec4(wTexelR${k}C${S}.xz, wTexelR${k}C${S}.xz);
-          `,S+1<h&&(x+=`
-              vec4 wTexelR${k}C${S+1} = getW(${k}, ${S+1}, d1, q);
-              wR${k}C${S+1} =
-                vec4(wTexelR${k}C${S+1}.xz, wTexelR${k}C${S+1}.xz);`))}for(let k=0;k<d;k++)for(let E=0;E<h;E++)x+=`dotProd += xR${k}C${E} * wR${k}C${E};`;let b="",w="";n&&(o?b=`vec4 activation(vec4 a) {
-          vec4 b = getPreluActivationWeightsAtOutCoords();
-          ${n}
-        }`:s?b=`vec4 activation(vec4 a) {
-          vec4 b = getLeakyreluAlphaAtOutCoords();
-          ${n}
-        }`:b=`vec4 activation(vec4 x) {
-          ${n}
-        }`,w="result = activation(result);");let _=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
-      ${b}
-
-      const ivec2 strides = ivec2(${c}, ${p});
-      const ivec2 pads = ivec2(${l}, ${u});
-
-      void main() {
-
-        ivec4 coords = getOutputCoords();
-        int batch = coords.x;
-        ivec2 xRCCorner = coords.yz * strides - pads;
-        int d2 = coords.w;
-        int d1 = d2;
-        int q = 0;
-        int xRCorner = xRCCorner.x;
-        int xCCorner = xRCCorner.y;
-
-        vec4 dotProd = vec4(0.);
-
-        ${x}
-
-        vec4 result = dotProd;
-        ${_}
-        ${w}
-        setOutput(result);
-      }
-    `}};function iX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dilations:l,dimRoundingMode:u}=n,c=l;c==null&&(c=[1,1]),y.assert(N.eitherStridesOrDilationsAreOne(a,c),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${c}'`);let p=N.computeConv2DInfo(o.shape,s.shape,a,c,i,u,!0),m;return W().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels==1?m=new $f(p):m=new Df(p),t.runWebGLProgram(m,[o,s],"float32")}var dD={kernelName:Jn,backendName:"webgl",kernelFunc:iX};var _v=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,o=e.padInfo.top,s=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=`
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int wR = coords.x;
-        int wC = coords.y;
-        int d1 = coords.z;
-        int dm = coords.w;
-        int d2 = d1 * ${a} + dm;
-
-        float dotProd = 0.0;
-
-        // TO DO: Vec4 over the batch size
-        for (int b = 0; b < ${e.batchSize}; b++) {
-          for (int yR = 0; yR < ${e.outHeight}; yR++) {
-            int xR = wR + yR * ${t} - ${o};
-
-            if (xR < 0 || xR >= ${e.inHeight}) {
-              continue;
-            }
-
-            for (int yC = 0; yC < ${e.outWidth}; yC++) {
-              int xC = wC + yC * ${n} - ${s};
-
-              if (xC < 0 || xC >= ${e.inWidth}) {
-                continue;
-              }
-
-              float dyValue = getDy(b, yR, yC, d2);
-              float xValue = getX(b, xR, xC, d1);
-              dotProd += (xValue * dyValue);
-            }
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}},kv=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,o=e.strideHeight,s=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left,l=e.outChannels/e.inChannels;this.userCode=`
-      const ivec2 pads = ivec2(${a}, ${i});
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int batch = coords[0];
-        int d1 = coords[3];
-        ivec2 dyCorner = coords.yz - pads;
-        int dyRCorner = dyCorner.x;
-        int dyCCorner = dyCorner.y;
-
-        float dotProd = 0.0;
-
-        for (int wR = 0; wR < ${t}; wR++) {
-          float dyR = float(dyRCorner + wR) / ${o}.0;
-
-          if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
-            continue;
-          }
-          int idyR = int(dyR);
-
-          int wRPerm = ${t} - 1 - wR;
-
-          for (int wC = 0; wC < ${n}; wC++) {
-            float dyC = float(dyCCorner + wC) / ${s}.0;
-
-            if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
-                fract(dyC) > 0.0) {
-              continue;
-            }
-            int idyC = int(dyC);
-
-            int wCPerm = ${n} - 1 - wC;
-
-            // TO DO: Vec4 over the channelMul
-            for (int dm = 0; dm < ${l}; dm++) {
-              int d2 = d1 * ${l} + dm;
-              float xValue = getDy(batch, idyR, idyC, d2);
-              float wValue = getW(wRPerm, wCPerm, d1, dm);
-              dotProd += xValue * wValue;
-            }
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}};function aX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,dy:s}=e,{strides:a,dilations:i,pad:l,dimRoundingMode:u,filterShape:c}=n,p=N.computeConv2DInfo(o.shape,c,a,i,l,u,!0),m=new _v(p);return t.runWebGLProgram(m,[o,s],"float32")}var hD={kernelName:Zl,backendName:"webgl",kernelFunc:aX};function lX(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{strides:a,dilations:i,pad:l,dimRoundingMode:u,inputShape:c}=n,p=N.computeConv2DInfo(c,s.shape,a,i,l,u,!0),m=new kv(p);return t.runWebGLProgram(m,[o,s],"float32")}var gD={kernelName:Jl,backendName:"webgl",kernelFunc:lX};var vv=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=`
-      void main() {
-          ivec2 coords = getOutputCoords();
-          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
-          setOutput(val);
-      }
-    `}};function uX(r){let{inputs:e,backend:t}=r,{x:n}=e,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),a=ce({inputs:{x:n},backend:t,attrs:{shape:[s]}}),i=new vv(s),l=t.runWebGLProgram(i,[a],a.dtype),u=ce({inputs:{x:l},backend:t,attrs:{shape:o}});return t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(l),u}var xD={kernelName:Ql,backendName:"webgl",kernelFunc:uX};var Cv=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:o,strideHeight:s,strideWidth:a,filterHeight:i,filterWidth:l,dilationHeight:u,dilationWidth:c}=e,{top:p,left:m}=o;this.userCode=`
-      const ivec2 strides = ivec2(${s}, ${a});
-      const ivec2 pads = ivec2(${p}, ${m});
-      const float neg_infinity = -3.4e38;
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int batch = coords.x;
-        int d1 = coords.w;
-        ivec2 outTopLeftCorner =
-            coords.yz * strides - pads;
-        int hBeg = outTopLeftCorner.x;
-        int wBeg = outTopLeftCorner.y;
-
-        float curVal = neg_infinity;
-        for (int h = 0; h < ${i}; h++) {
-          int hIn = hBeg + h * ${u};
-
-          if (hIn >= 0 && hIn < ${t}) {
-            for (int w = 0; w < ${l}; w++) {
-              int wIn = wBeg + w * ${c};
-
-              if (wIn >= 0 && wIn < ${n}) {
-                float xVal = getX(batch, hIn, wIn, d1);
-                float wVal = getW(h, w, d1);
-
-                float val = xVal + wVal;
-                if (val > curVal) {
-                  curVal = val;
-                }
-              }
-            }
-          }
-        }
-
-        float result = curVal;
-        setOutput(result);
-      }
-    `}};function cX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dilations:l}=n,u=N.computeDilation2DInfo(o.shape,s.shape,a,i,"NHWC",l),c,p=new Cv(u);c=t.runWebGLProgram(p,[o,s],"float32");let m=ce({inputs:{x:c},backend:t,attrs:{shape:u.outShape}});return t.disposeIntermediateTensorInfo(c),m}var yD={kernelName:la,backendName:"webgl",kernelFunc:cX};var pX="return (x >= 0.0) ? x : (exp(x) - 1.0);",mX=`
-  vec4 result;
-
-  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
-  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
-  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
-  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
-
-  return result;
-`,fX=ve({opSnippet:pX,packedOpSnippet:mX}),bD={kernelName:si,backendName:"webgl",kernelFunc:fX};var dX="return (b >= 1.0) ? a : a * (b + 1.0);",hX=`
-  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
-  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
-`,gX=r=>{let{inputs:e,backend:t}=r,{dy:n,y:o}=e,s=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Os(hX,n.shape,o.shape):new qo(dX,n.shape,o.shape);return t.runWebGLProgram(s,[n,o],n.dtype)},wD={kernelName:eu,backendName:"webgl",kernelFunc:gX};var xX=`
-  return vec4(equal(a, b));
-`,yX="return float(a == b);",bX=it({opSnippet:yX,packedOpSnippet:xX,dtype:"bool"}),_D={kernelName:ai,backendName:"webgl",kernelFunc:bX};var wX=`
-  // Error function is calculated approximately with elementary function.
-  // See "Handbook of Mathematical Functions with Formulas,
-  // Graphs, and Mathematical Tables", Abramowitz and Stegun.
-  float p = ${N.ERF_P};
-  float a1 = ${N.ERF_A1};
-  float a2 = ${N.ERF_A2};
-  float a3 = ${N.ERF_A3};
-  float a4 = ${N.ERF_A4};
-  float a5 = ${N.ERF_A5};
-
-  float sign = sign(x);
-  x = abs(x);
-  float t = 1.0 / (1.0 + p * x);
-  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));
-`,_X=ve({opSnippet:wX}),kD={kernelName:ii,backendName:"webgl",kernelFunc:_X};var vD="return exp(x);",Iv=ve({opSnippet:vD,packedOpSnippet:vD,cpuKernelImpl:_A}),CD={kernelName:eo,backendName:"webgl",kernelFunc:Iv};function sx(r){let{inputs:e,attrs:t,backend:n}=r,{dim:o}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),l=o;return o<0&&(y.assert(-(a+1)<=o,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),l=a+o+1),i.splice(l,0,1),ce({inputs:{x:s},backend:n,attrs:{shape:i}})}var ID={kernelName:as,backendName:"webgl",kernelFunc:sx};var ND="return exp(x) - 1.0;",kX=ve({opSnippet:ND,packedOpSnippet:ND,cpuKernelImpl:kA}),SD={kernelName:li,backendName:"webgl",kernelFunc:kX};var ix=class{constructor(e,t,n){this.variableNames=["real","imag"];let o=t[1];this.outputShape=t;let s=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,a=n?`${o}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=`
-      const float exponentMultiplier = ${s};
-
-      float unaryOpComplex(float real, float expR, float imag, float expI) {
-        ${i}
-      }
-
-      float mulMatDFT(int batch, int index) {
-        float indexRatio = float(index) / float(${o});
-        float exponentMultiplierTimesIndexRatio =
-            exponentMultiplier * indexRatio;
-
-        float result = 0.0;
-
-        for (int i = 0; i < ${o}; i++) {
-          // x = (-2|2 * PI / N) * index * i;
-          float x = exponentMultiplierTimesIndexRatio * float(i);
-          float expR = cos(x);
-          float expI = sin(x);
-          float real = getReal(batch, i);
-          float imag = getImag(batch, i);
-
-          result +=
-              unaryOpComplex(real, expR, imag, expI) / ${a};
-        }
-
-        return result;
-      }
-
-      void main() {
-        ivec2 coords = getOutputCoords();
-        setOutput(mulMatDFT(coords[0], coords[1]));
-      }
-    `}};function ax(r,e,t){let n=t.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=o/s,i=ce({inputs:{x:r},backend:t,attrs:{shape:[a,s]}}),l=i.shape,u=new ix("real",l,e),c=new ix("imag",l,e),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:l},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:l}],m=t.runWebGLProgram(u,p,"float32"),f=t.runWebGLProgram(c,p,"float32"),d=nn({inputs:{real:m,imag:f},backend:t});t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(f);let h=ce({inputs:{x:d},backend:t,attrs:{shape:r.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(d),h}function vX(r){let{inputs:e,backend:t}=r,{input:n}=e;return ax(n,!1,t)}var TD={kernelName:tu,backendName:"webgl",kernelFunc:vX};var Nv=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode=`
-      uniform float value;
-      void main() {
-        // Input can be obtained from uniform value.
-        setOutput(value);
-      }
-    `}getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}};function Rf(r){let{backend:e,attrs:t}=r,{shape:n,value:o}=t,{dtype:s}=t;if(s=s||y.inferDtype(o),s==="string"){let a=y.getArrayFromDType(s,y.sizeFromShape(n));return a.fill(o),e.makeTensorInfo(n,s,a)}else{let a=new Nv(n,o),i=a.getCustomSetupFunc(o);return e.runWebGLProgram(a,[],s,i)}}var ED={kernelName:ua,backendName:"webgl",kernelFunc:Rf};var Sv=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=`
-        void main() {
-          ivec4 coords = getOutputCoords();
-          int x = coords[2];
-
-          int coordX = ${t} - x;
-          float outputValue;
-          if(coordX >= 0 && coordX < ${t}) {
-            outputValue = getImage(coords[0], coords[1], coordX, coords[3]);
-          } else {
-            outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);
-          }
-          setOutput(outputValue);
-        }
-    `}};var AD={kernelName:ui,backendName:"webgl",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,n=e,o=new Sv(t.shape);return n.runWebGLProgram(o,[t],t.dtype)}};var DD="return floor(x);",CX=ve({opSnippet:DD,packedOpSnippet:DD,cpuKernelImpl:vA}),$D={kernelName:to,backendName:"webgl",kernelFunc:CX};var IX=`
-  float s = sign(a) * sign(b);
-  int ia = round(a);
-  int ib = round(b);
-  if (ib != 0) {
-    // Windows (D3D) wants guaranteed non-zero int division at compile-time.
-    return float(idiv(ia, ib, s));
-  } else {
-    return NAN;
-  }
-`,NX=`
-  ivec4 ia = round(a);
-  ivec4 ib = round(b);
-  bvec4 cond = notEqual(ib, ivec4(0));
-  ivec4 result = ivec4(0);
-  vec4 s = sign(a) * sign(b);
-
-  // Windows (D3D) wants guaranteed non-zero int division at compile-time.
-  if (cond[0]) {
-    result[0] = idiv(ia[0], ib[0], s[0]);
-  }
-  if (cond[1]) {
-    result[1] = idiv(ia[1], ib[1], s[1]);
-  }
-  if (cond[2]) {
-    result[2] = idiv(ia[2], ib[2], s[2]);
-  }
-  if (cond[3]) {
-    result[3] = idiv(ia[3], ib[3], s[3]);
-  }
-  return vec4(result);
-`,SX=it({opSnippet:IX,packedOpSnippet:NX,dtype:"int32"}),RD={kernelName:ro,backendName:"webgl",kernelFunc:SX};var Tv=class{constructor(e){this.variableNames=["A"];let t=Pt(),[n,o]=e;this.outputShape=e,this.userCode=`
-      void main() {
-        ivec3 coords = getOutputCoords();
-        int texR = coords[0];
-        int texC = coords[1];
-        int depth = coords[2];
-        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${o}.0, ${n}.0);
-
-        vec4 values = ${t.texture2D}(A, uv);
-        float value;
-        if (depth == 0) {
-          value = values.r;
-        } else if (depth == 1) {
-          value = values.g;
-        } else if (depth == 2) {
-          value = values.b;
-        } else if (depth == 3) {
-          value = values.a;
-        }
-
-        setOutput(floor(value * 255.0 + 0.5));
-      }
-    `}};var Ev=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Pt(),[n,o]=e;this.outputShape=e,this.userCode=`
-      void main() {
-        ivec3 coords = getOutputCoords();
-        int texR = coords[0];
-        int texC = coords[1];
-        int depth = coords[2];
-
-        vec4 result = vec4(0.);
-
-        for(int row=0; row<=1; row++) {
-          for(int col=0; col<=1; col++) {
-            texC = coords[1] + row;
-            depth = coords[2] + col;
-
-            vec2 uv = (vec2(texC, texR) + halfCR) /
-                       vec2(${o}.0, ${n}.0);
-            vec4 values = ${t.texture2D}(A, uv);
-            float value;
-            if (depth == 0) {
-              value = values.r;
-            } else if (depth == 1) {
-              value = values.g;
-            } else if (depth == 2) {
-              value = values.b;
-            } else if (depth == 3) {
-              value = values.a;
-            }
-
-            result[row * 2 + col] = floor(value * 255.0 + 0.5);
-          }
-        }
-
-        ${t.output} = result;
-      }
-    `}};var FD={kernelName:Oc,backendName:"webgl",kernelFunc:TX},_p;function TX(r){let{inputs:e,backend:t,attrs:n}=r,{pixels:o}=e,{numChannels:s}=n,a=typeof HTMLVideoElement!="undefined"&&o instanceof HTMLVideoElement,i=typeof HTMLImageElement!="undefined"&&o instanceof HTMLImageElement,l=typeof ImageBitmap!="undefined"&&o instanceof ImageBitmap,[u,c]=a?[o.videoWidth,o.videoHeight]:[o.width,o.height],p=[c,u],m=[c,u,s];(i||a||l)&&(_p==null&&(_p=document.createElement("canvas").getContext("2d")),_p.canvas.width=u,_p.canvas.height=c,_p.drawImage(o,0,0,u,c),o=_p.canvas);let f=t.makeTensorInfo(p,"int32");t.texData.get(f.dataId).usage=Ar.PIXELS,t.gpgpu.uploadPixelDataToTexture(t.getTexture(f.dataId),o);let d=W().getBool("WEBGL_PACK")?new Ev(m):new Tv(m),h=t.runWebGLProgram(d,[f],"int32");return t.disposeData(f.dataId),h}function EX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s,bias:a,preluActivationWeights:i}=e,{strides:l,pad:u,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=N.convertConv2DDataFormat(c),g=N.computeConv2DInfo(o.shape,s.shape,l,p,u,m,!1,h),x,b=[];if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))x=rx({x:o,filter:s,convInfo:g,backend:t,bias:a,activation:f,preluActivationWeights:i,leakyreluAlpha:d});else if(W().getBool("WEBGL_CONV_IM2COL")&&o.shape[0]===1)x=nx({x:o,filter:s,convInfo:g,backend:t,bias:a,activation:f,preluActivationWeights:i,leakyreluAlpha:d});else{let _=a!=null,k=i!=null,E=f==="leakyrelu",S=f?xl(f,!1):null,R=new Af(g,_,S,k,E),F=[o,s];if(a&&F.push(a),i&&F.push(i),E){let P=t.makeTensorInfo([],"float32",y.createScalarValue(d,"float32"));F.push(P),b.push(P)}x=t.runWebGLProgram(R,F,"float32")}let w=ce({inputs:{x},backend:t,attrs:{shape:g.outShape}});return b.push(x),b.forEach(_=>t.disposeIntermediateTensorInfo(_)),w}var OD={kernelName:ws,backendName:"webgl",kernelFunc:EX};function AX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s,bias:a,preluActivationWeights:i}=e,{strides:l,pad:u,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),y.assert(N.eitherStridesOrDilationsAreOne(l,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${h}'`);let g=N.computeConv2DInfo(o.shape,s.shape,l,h,u,p,!0),x=W().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,b=m?xl(m,x):null,w=[o,s],_=a!=null,k=i!=null,E=m==="leakyrelu";if(_&&w.push(a),k&&w.push(i),E){let F=t.makeTensorInfo([],"float32",y.createScalarValue(f,"float32"));w.push(F),d.push(F)}let S;x?S=new $f(g,_,b,k,E):S=new Df(g,_,b,k,E);let R=t.runWebGLProgram(S,w,"float32");return d.forEach(F=>t.disposeIntermediateTensorInfo(F)),R}var PD={kernelName:_s,backendName:"webgl",kernelFunc:AX};var Av=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let o=Le(t.length),s=Le(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
-        ${o} strides = ${o}(${this.strides});
-         void main() {
-          ${s} coords = getOutputCoords();
-          int flattenIndex = 0;
-          for (int j = 0; j < ${this.sliceDim}; j++) {
-            int index = round(getIndices(coords[0], j));
-            flattenIndex += index * ${a};
-          }
-          setOutput(getX(flattenIndex, coords[1]));
-        }
-      `}};function DX(r){let{inputs:e,backend:t}=r,{params:n,indices:o}=e,s=o.shape,a=s[s.length-1],[i,l,u,c]=N.prepareAndValidate(n,o),p=ce({inputs:{x:o},backend:t,attrs:{shape:[l,a]}}),m=ce({inputs:{x:n},backend:t,attrs:{shape:[y.sizeFromShape(n.shape)/u,u]}}),f=new Av(a,c,[l,u]),d=t.runWebGLProgram(f,[m,p],m.dtype),h=ce({inputs:{x:d},backend:t,attrs:{shape:i}});return t.disposeIntermediateTensorInfo(p),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),h}var MD={kernelName:ci,backendName:"webgl",kernelFunc:DX};var Dv=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=Le(this.rank),o=$X(e,2);this.userCode=`
-      void main() {
-        ${n} resRC = getOutputCoords();
-        setOutput(getA(${o}));
-      }
-    `}};function $X(r,e){let t=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let o=0;o<r.length;o++)o===2?n.push("int(getIndices(resRC.x, resRC.z))"):n.push(`${t[o]}`);return n.join()}function RX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,indices:s}=e,{axis:a,batchDims:i}=n,l=y.parseAxisParam(a,o.shape)[0],u=N.segment_util.collectGatherOpShapeInfo(o,s,l,i),c=y.sizeFromShape(s.shape),p=[],m=ce({inputs:{x:o},backend:t,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),f=ce({inputs:{x:s},backend:t,attrs:{shape:[u.batchSize,c/u.batchSize]}});p.push(m),p.push(f);let d=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(t.shouldExecuteOnCPU([o,s])||o.dtype==="string"){let b=t.bufferSync(f),w=t.bufferSync(m),_=CA(w,b,d);return p.forEach(k=>t.disposeIntermediateTensorInfo(k)),t.makeTensorInfo(u.outputShape,_.dtype,_.values)}let h=new Dv(m.shape,d),g=t.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=ce({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return p.forEach(b=>t.disposeIntermediateTensorInfo(b)),x}var LD={kernelName:ls,backendName:"webgl",kernelFunc:RX};var FX="return float(a > b);",OX=`
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-  return vec4(greaterThanEqual(a, b));
-`,zX=it({opSnippet:MX,packedOpSnippet:LX,dtype:"bool"}),BD={kernelName:oo,backendName:"webgl",kernelFunc:zX};function BX(r){let{inputs:e,backend:t}=r,{input:n}=e;return ax(n,!0,t)}var VD={kernelName:ru,backendName:"webgl",kernelFunc:BX};var VX="return float(!isnan(x) && !isinf(x));",GX=ve({opSnippet:VX,dtype:"bool"}),GD={kernelName:mi,backendName:"webgl",kernelFunc:GX};var jX="return float(isinf(x));",WX=ve({opSnippet:jX,dtype:"bool"}),jD={kernelName:fi,backendName:"webgl",kernelFunc:WX};var UX="return float(isnan(x));",qX=ve({opSnippet:UX,dtype:"bool"}),WD={kernelName:di,backendName:"webgl",kernelFunc:qX};var HX="return float(a < b);",KX=`
-  return vec4(lessThan(a, b));
-`,XX=it({opSnippet:HX,packedOpSnippet:KX,cpuKernelImpl:NA,dtype:"bool"}),UD={kernelName:hi,backendName:"webgl",kernelFunc:XX};var YX="return float(a <= b);",ZX=`
-  return vec4(lessThanEqual(a, b));
-`,JX=it({opSnippet:YX,packedOpSnippet:ZX,dtype:"bool"}),qD={kernelName:gi,backendName:"webgl",kernelFunc:JX};function QX(r){let{backend:e,attrs:t}=r,{start:n,stop:o,num:s}=t,a=SA(n,o,s);return e.makeTensorInfo([a.length],"float32",a)}var HD={kernelName:ou,backendName:"webgl",kernelFunc:QX};var e7=`if (x < 0.0) return NAN;
-  return log(x);`,t7=`
-  vec4 result = log(x);
-  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));
-  result.r = isNaN.r == 1.0 ? NAN : result.r;
-  result.g = isNaN.g == 1.0 ? NAN : result.g;
-  result.b = isNaN.b == 1.0 ? NAN : result.b;
-  result.a = isNaN.a == 1.0 ? NAN : result.a;
-
-  return result;
-`,r7=ve({opSnippet:e7,packedOpSnippet:t7,cpuKernelImpl:TA}),KD={kernelName:io,backendName:"webgl",kernelFunc:r7};var n7="return log(1.0 + x);",o7=ve({opSnippet:n7}),XD={kernelName:xi,backendName:"webgl",kernelFunc:o7};var s7="return float(a >= 1.0 && b >= 1.0);",i7=`
-  return vec4(
-    vec4(greaterThanEqual(a, vec4(1.0))) *
-    vec4(greaterThanEqual(b, vec4(1.0))));
-`,a7=it({opSnippet:s7,packedOpSnippet:i7,dtype:"bool"}),YD={kernelName:yi,backendName:"webgl",kernelFunc:a7};var l7="return float(!(x >= 1.0));",u7=ve({opSnippet:l7}),ZD={kernelName:Qa,backendName:"webgl",kernelFunc:u7};var c7="return float(a >= 1.0 || b >= 1.0);",p7=`
-  return min(
-    vec4(greaterThanEqual(a, vec4(1.0))) +
-    vec4(greaterThanEqual(b, vec4(1.0))),
-    vec4(1.0));
-`,m7=it({opSnippet:c7,packedOpSnippet:p7,dtype:"bool"}),JD={kernelName:el,backendName:"webgl",kernelFunc:m7};var $v=class{constructor(e,t,n,o,s){this.variableNames=["x"],this.outputShape=[];let a=t,i=e[3]-1;this.outputShape=e;let l,u=`float(${n}) + float(${o}) * sum`;s===.5?l=`inversesqrt(${u})`:s===1?l=`1.0/(${u})`:l=`exp(log(${u}) * float(-${s}));`,this.userCode=`
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int r = coords[1];
-        int c = coords[2];
-        int d = coords[3];
-        float x = getX(b, r, c, d);
-        float sum = 0.0;
-        for (int j = -${a}; j <= ${a}; j++) {
-          int idx = d + j;
-          if (idx >= 0 && idx <=  ${i}) {
-            float z = getX(b, r, c, idx);
-            sum += z * z;
-          }
-        }
-        float val = x * ${l};
-        setOutput(val);
-      }
-    `}};var Rv=class{constructor(e,t,n,o,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,i=e[3]-1;this.outputShape=e;let l,u=`float(${n}) + float(${o}) * sum`;s===.5?l=`inversesqrt(${u})`:s===1?l=`1.0/(${u})`:l=`exp(log(${u}) * float(-${s}));`,this.userCode=`
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords.x;
-        int r = coords.y;
-        int c = coords.z;
-        int d = coords.w;
-
-        bool hasNextCol = d < ${this.outputShape[3]};
-        bool hasNextRow = c < ${this.outputShape[2]};
-
-        vec4 sum = vec4(0.);
-        vec4 xFragAtOutputCoords = getX(b, r, c, d);
-
-        vec4 xAtOutputCoords = vec4(
-          getChannel(xFragAtOutputCoords, vec2(c, d)),
-          hasNextCol ?
-            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,
-          hasNextRow ?
-            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,
-          (hasNextRow && hasNextCol) ?
-            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0
-        );
-
-        int firstChannel = d - ${a};
-        vec2 cache = vec2(0.);
-        if(firstChannel >= 0){
-          vec4 firstChannelFrag = getX(b, r, c, firstChannel);
-          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));
-            if(hasNextRow){
-              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));
-            }
-        }
-
-        ivec2 depth = ivec2(d, d + 1);
-        for (int j = - ${a}; j <= ${a}; j++) {
-          ivec2 idx = depth + j;
-          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));
-          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${i}));
-
-          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;
-          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;
-
-          if(depthInRange || depthPlusOneInRange){
-            vec4 z = vec4(0.);
-            vec4 xFragAtCurrentDepth;
-            z.xz = cache.xy;
-            if(depthPlusOneInRange && hasNextCol){
-              xFragAtCurrentDepth = idx.y != d ?
-                getX(b, r, c, idx.y) : xFragAtOutputCoords;
-              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));
-              if(hasNextRow){
-                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));
-              }
-            }
-            cache.xy = z.yw;
-            sum += z * z;
-          }
-        }
-        vec4 result = xAtOutputCoords * ${l};
-        setOutput(result);
-      }
-    `}};var f7=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{depthRadius:s,bias:a,alpha:i,beta:l}=n,u=W().getBool("WEBGL_PACK_NORMALIZATION")?new Rv(o.shape,s,a,i,l):new $v(o.shape,s,a,i,l);return t.runWebGLProgram(u,[o],o.dtype)},QD={kernelName:ca,backendName:"webgl",kernelFunc:f7};var Fv=class{constructor(e,t,n,o,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=o,this.beta=s,this.userCode=`
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int r = coords[1];
-        int c = coords[2];
-
-        float result = 0.0;
-        for (int d = 0; d < ${this.depth}; ++d) {
-          int depthBegin = int(max(0.0, float(d - ${t})));
-          int depthEnd = int(min(float(${this.depth}),
-              float(d + ${t} + 1)));
-
-          const int MIN_DEPTH_BEGIN = 0;
-          const int MAX_DEPTH_END = ${this.depth};
-
-          float norm = 0.0;
-          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {
-            if (k < depthBegin){
-              continue;
-            }
-            else if (k >= depthBegin && k < depthEnd) {
-              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);
-            }
-            else {
-              break;
-            }
-          }
-
-          norm = float(${o}) * norm + float(${n});
-
-          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){
-            if (k < depthBegin){
-              continue;
-            }
-            else if (k >= depthBegin && k < depthEnd){
-              float dyi = -2.0 * float(${o})
-                * float(${s})
-                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
-                / norm;
-              if (k == d) {
-                dyi += pow(norm, -1.0 * ${s});
-              }
-              if (k == coords[3]) {
-                dyi *= getDy(b, r, c, d);
-                result += dyi;
-              }
-            }
-            else {
-              break;
-            }
-          }
-      }
-      setOutput(result);
-      }
-    `}};var d7=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o,y:s,dy:a}=e,{depthRadius:i,bias:l,alpha:u,beta:c}=n,p=new Fv(o.shape,i,l,u,c);return t.runWebGLProgram(p,[o,s,a],o.dtype)},e$={kernelName:su,backendName:"webgl",kernelFunc:d7};function t$(r,e,t,n){let o=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/o,i=ce({inputs:{x:r},attrs:{shape:[a,o]},backend:n}),l=vn(i,r.dtype,"max",n),u=ce({inputs:{x:l},attrs:{shape:t},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}function Ov(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{reductionIndices:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=N.getAxesPermutation(u,i),p=c!=null,m=t.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=t.texData.get(f.dataId).values,_=new Array(i);for(let S=0;S<_.length;S++)_[S]=o.shape[c[S]];let k=wp(w,o.shape,o.dtype,c,_);f=t.makeTensorInfo(_,o.dtype);let E=t.texData.get(f.dataId);E.values=k}else f=yl(o,c,t);u=N.getInnerMostAxes(u.length,i)}N.assertAxesAreInnerMostDims("max",u,i);let[d,h]=N.computeOutAndReduceShapes(f.shape,u),g=d;a&&(g=N.expandShapeToKeepDim(d,l));let x;if(m){let w=t.texData.get(f.dataId).values,_=EA(w,y.sizeFromShape(h),g,o.dtype);x=t.makeTensorInfo(g,o.dtype);let k=t.texData.get(x.dataId);k.values=_}else x=t$(f,h,g,t);return p&&t.disposeIntermediateTensorInfo(f),x}var r$={kernelName:ao,backendName:"webgl",kernelFunc:Ov};var h7=Xg+`
-  return max(a, b);
-`,g7=`
-  vec4 result = vec4(max(a, b));
-  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
-  `+gl+`
-  return result;
-`,x7=it({opSnippet:h7,packedOpSnippet:g7,cpuKernelImpl:AA}),n$={kernelName:lo,backendName:"webgl",kernelFunc:x7};function y7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e;$s(o,"maxPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:l}=n,u=1;y.assert(N.eitherStridesOrDilationsAreOne(a,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=N.computePool2DInfo(o.shape,s,a,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return Ut({inputs:{x:o},backend:t});let p=new Wi(c,"max",!1);return t.runWebGLProgram(p,[o],o.dtype)}var o$={kernelName:uo,backendName:"webgl",kernelFunc:y7};function b7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{filterSize:s,strides:a,pad:i,dataFormat:l,dimRoundingMode:u}=n,c=[1,1,1],p=N.computePool3DInfo(o.shape,s,a,c,i,u,l),m=new Qu(p,"max",!1);return t.runWebGLProgram(m,[o],o.dtype)}var s$={kernelName:pa,backendName:"webgl",kernelFunc:b7};var Pv=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,o=e.dilationHeight,s=e.effectiveFilterHeight,a=e.effectiveFilterWidth,i=s-1-e.padInfo.top,l=a-1-e.padInfo.left,u=s*a-1;this.userCode=`
-      const ivec2 pads = ivec2(${i}, ${l});
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int d = coords[3];
-
-        ivec2 dyRCCorner = coords.yz - pads;
-        int dyRCorner = dyRCCorner.x;
-        int dyCCorner = dyRCCorner.y;
-
-        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
-        // ? = to be determined. : = across all values in that axis.
-        float dotProd = 0.0;
-        for (int wR = 0; wR < ${s};
-          wR += ${o}) {
-          float dyR = float(dyRCorner + wR) / ${t}.0;
-
-          if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
-            continue;
-          }
-          int idyR = int(dyR);
-
-          for (int wC = 0; wC < ${a}; wC++) {
-            float dyC = float(dyCCorner + wC) / ${n}.0;
-
-            if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
-                fract(dyC) > 0.0) {
-              continue;
-            }
-            int idyC = int(dyC);
-
-            float dyValue = getDy(b, idyR, idyC, d);
-            int maxPosValue = ${u} - int(getMaxPos(b, idyR, idyC, d));
-
-            // Get the current value, check it against the value from the
-            // position matrix.
-            int curPosValue = wR * ${a} + wC;
-            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
-
-            dotProd += dyValue * mask;
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}},Mv=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,a=e.dilationHeight,i=e.dilationWidth,l=e.effectiveFilterDepth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,p=l-1-e.padInfo.front,m=u-1-e.padInfo.top,f=c-1-e.padInfo.left,d=l*u*c-1;this.userCode=`
-      const ivec3 pads = ivec3(${p}, ${m}, ${f});
-
-      void main() {
-        ivec5 coords = getOutputCoords();
-        int batch = coords.x;
-        int ch = coords.u;
-
-        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
-        int dyDCorner = dyCorner.x;
-        int dyRCorner = dyCorner.y;
-        int dyCCorner = dyCorner.z;
-
-        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
-        // dx(xD, xR, xC, ch).
-        // ? = to be determined. : = across all values in that axis.
-        float dotProd = 0.0;
-
-        for (int wD = 0; wD < ${l};
-           wD += ${s}) {
-          float dyD = float(dyDCorner + wD) / ${t}.0;
-
-          if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
-            continue;
-          }
-          int idyD = int(dyD);
-
-          for (int wR = 0; wR < ${u};
-              wR += ${a}) {
-            float dyR = float(dyRCorner + wR) / ${n}.0;
-
-            if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
-                fract(dyR) > 0.0) {
-              continue;
-            }
-            int idyR = int(dyR);
-
-            for (int wC = 0; wC < ${c};
-                wC += ${i}) {
-              float dyC = float(dyCCorner + wC) / ${o}.0;
-
-              if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
-                  fract(dyC) > 0.0) {
-                continue;
-              }
-              int idyC = int(dyC);
-
-              float dyValue = getDy(batch, idyD, idyR, idyC, ch);
-              int maxPosValue = ${d} -
-                  int(getMaxPos(batch, idyD, idyR, idyC, ch));
-
-              // Get the current value, check it against the value from the
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-              int curPosValue =
-                  wD * ${u} * ${c} +
-                  wR * ${c} + wC;
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-
-              dotProd += dyValue * mask;
-            }
-          }
-        }
-        setOutput(dotProd);
-      }
-    `}};function w7(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=n,p=[1,1,1],m=N.computePool3DInfo(a.shape,i,l,p,u,c),f=new Qu(m,"max",!0),d=t.runWebGLProgram(f,[a],a.dtype),h=new Mv(m),g=t.runWebGLProgram(h,[o,d],a.dtype);return t.disposeIntermediateTensorInfo(d),g}var i$={kernelName:au,backendName:"webgl",kernelFunc:w7};function _7(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s,output:a}=e,i=s;$s([s,a],"maxPoolGrad");let{filterSize:l,strides:u,pad:c,dimRoundingMode:p}=n,m=N.computePool2DInfo(i.shape,l,u,1,c,p),f=!0,d=new Wi(m,"max",f),h=t.runWebGLProgram(d,[i],i.dtype),g=new Pv(m),x=t.runWebGLProgram(g,[o,h],i.dtype);return t.disposeIntermediateTensorInfo(h),x}var a$={kernelName:iu,backendName:"webgl",kernelFunc:_7};function l$(r,e,t,n){let o=new Wi(t,"max",!1),s=n.runWebGLProgram(o,[r],"float32");o=new Wi(t,"max",!0,!0,e);let a=n.runWebGLProgram(o,[r],"float32");return[s,a]}var u$={kernelName:lu,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:n}=r,{filterSize:o,strides:s,pad:a,includeBatchInIndex:i}=e,l=t;y.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let u=[1,1];y.assert(N.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let c=N.computePool2DInfo(n.shape,o,s,u,a),[p,m]=l$(n,i,c,l);return[p,m]}};function c$(r,e,t,n){let o=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/o,i=ce({inputs:{x:r},attrs:{shape:[a,o]},backend:n}),l=vn(i,"float32","mean",n),u=ce({inputs:{x:l},attrs:{shape:t},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var p$={kernelName:co,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:n}=r,{keepDims:o,axis:s}=e,a=t,i=n.shape.length,l=y.parseAxisParam(s,n.shape),u=l,c=N.getAxesPermutation(u,i),p=c!=null,m=a.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let _=a.texData.get(d.dataId).values,k=new Array(i);for(let R=0;R<k.length;R++)k[R]=n.shape[c[R]];let E=wp(_,n.shape,n.dtype,c,k);d=a.makeTensorInfo(k,n.dtype);let S=a.texData.get(d.dataId);S.values=E}else d=yl(n,c,a);f.push(d),u=N.getInnerMostAxes(u.length,i)}N.assertAxesAreInnerMostDims("sum",u,i);let[h,g]=N.computeOutAndReduceShapes(d.shape,u),x=h;o&&(x=N.expandShapeToKeepDim(h,l));let b=c$(d,g,x,a);for(let w of f)a.disposeIntermediateTensorInfo(w);return b}};function k7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=N.getAxesPermutation(u,i),p=o;c!=null&&(p=zt({inputs:{x:o},backend:t,attrs:{perm:c}}),u=N.getInnerMostAxes(u.length,o.shape.length)),N.assertAxesAreInnerMostDims("min",u,i);let[m,f]=N.computeOutAndReduceShapes(p.shape,u),d=y.sizeFromShape(f),h=ce({inputs:{x:p},backend:t,attrs:{shape:[-1,d]}}),g=vn(h,h.dtype,"min",t),x;if(a){let b=N.expandShapeToKeepDim(m,l);x=ce({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=ce({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(p),x}var m$={kernelName:po,backendName:"webgl",kernelFunc:k7};var v7=Xg+`
-  return min(a, b);
-`,C7=`
-  vec4 result = vec4(min(a, b));
-  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
-  `+gl+`
-  return result;
-`,I7=it({opSnippet:v7,packedOpSnippet:C7,cpuKernelImpl:DA}),f$={kernelName:mo,backendName:"webgl",kernelFunc:I7};var Lv=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((c,p)=>c[0]+e[p]+c[1]);let o=e.length,s=Le(o),a=t.map(c=>c[0]).join(","),i=t.map((c,p)=>c[0]+e[p]).join(","),l=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o),u=n==="reflect"?0:1;if(o===1){this.userCode=`
-        int start = ${a};
-        int end = ${i};
-
-        void main() {
-          int outC = getOutputCoords();
-          if (outC < start) {
-            outC = start * 2 - outC - ${u};
-          } else if(outC >= end) {
-            outC = (end - 1) * 2 - outC + ${u};
-          }
-          setOutput(getX(outC - start));
-        }
-      `;return}this.userCode=`
-      ${s} start = ${s}(${a});
-      ${s} end = ${s}(${i});
-
-      void main() {
-        ${s} outC = getOutputCoords();
-        for (int i = 0; i < ${o}; i++) {
-          if (outC[i] < start[i]) {
-            outC[i] = start[i] * 2 - outC[i] - ${u};
-          } else if(outC[i] >= end[i]) {
-            outC[i] = (end[i] - 1) * 2 - outC[i] + ${u};
-          }
-        }
-        ${s} coords = outC - start;
-        setOutput(getX(${l}));
-      }
-    `}};var zv=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((d,h)=>d[0]+e[h]+d[1]);let o=e.length,s=Le(o),a=t.map(d=>d[0]).join(","),i=t.map((d,h)=>d[0]+e[h]).join(","),l=Wt("rc",o),u=Wt("source",o),c=`${l[o-1]} < ${this.outputShape[o-1]}`,p=o===1?"source":`vec2(${u.slice(-2).join()})`,m=n==="reflect"?0:1,f="";if(o===1){let d=`
-        ${s} source = rc;
-        if (source < start) {
-          source = start * 2 - source - ${m};
-        } else if (source >= end) {
-          source = (end - 1) * 2 - source + ${m};
-        }
-        source -= start;
-      `;f=`
-        ${s} rc = outputLoc;
-        ${d}
-        result[0] = getChannel(getX(${u.join()}), ${p});
-        ${l[o-1]} += 1;
-        if(${c}) {
-          ${d}
-          result[1] = getChannel(getX(${u.join()}), ${p});
-        }
-      `}else{let d=`
-        ${s} source = rc;
-        ${s} lt = ${s}(lessThan(source, start));
-        ${s} gte = ${s}(greaterThanEqual(source, end));
-        ${s} orig = 1 - (lt + gte);
-        source = orig * source +
-                lt * (start * 2 - source - ${m}) +
-                gte * ((end - 1) * 2 - source + ${m});
-        source -= start;
-      `;f=`
-        ${s} rc = outputLoc;
-        ${d}
-        result[0] = getChannel(getX(${u.join()}), ${p});
-        ${l[o-1]} += 1;
-        if(${c}) {
-          ${d}
-          result[1] = getChannel(getX(${u.join()}), ${p});
-        }
-        rc = outputLoc;
-        ${l[o-2]} += 1;
-        if(${l[o-2]} < ${this.outputShape[o-2]}) {
-          ${d}
-          result[2] = getChannel(getX(${u.join()}), ${p});
-          ${l[o-1]} += 1;
-          if(${c}) {
-            ${d}
-            result[3] = getChannel(getX(${u.join()}), ${p});
-          }
-        }
-      `}this.userCode=`
-      const ${s} start = ${s}(${a});
-      const ${s} end = ${s}(${i});
-
-      void main() {
-        ${s} outputLoc = getOutputCoords();
-        vec4 result = vec4(0.);
-        ${f}
-        setOutput(result);
-      }
-    `}};var N7=({inputs:r,backend:e,attrs:t})=>{let{x:n}=r,{paddings:o,mode:s}=t,a=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new zv(n.shape,o,s):new Lv(n.shape,o,s);return e.runWebGLProgram(a,[n],n.dtype)},d$={kernelName:ma,backendName:"webgl",kernelFunc:N7};var S7=`if (b == 0.0) return NAN;
-  return mod(a, b);`,T7=`
-  vec4 result = mod(a, b);
-  vec4 isNaN = vec4(equal(b, vec4(0.0)));
-  `+gl+`
-  return result;
-`,E7=it({opSnippet:S7,packedOpSnippet:T7}),h$={kernelName:bi,backendName:"webgl",kernelFunc:E7};var Bv=class{constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode=`
-      uniform float seed;
-
-      void main() {
-        ivec2 coords = getOutputCoords();
-        int batch = coords[0];
-
-        float r = random(seed);
-        float cdf = 0.0;
-
-        for (int i = 0; i < ${t-1}; i++) {
-          cdf += getProbs(batch, i);
-
-          if (r < cdf) {
-            setOutput(float(i));
-            return;
-          }
-        }
-
-        // If no other event happened, last event happened.
-        setOutput(float(${t-1}));
-      }
-    `}getCustomSetupFunc(e){return(t,n)=>{this.seedLoc==null&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}};var A7=`
-if (a == b) {
-  return 1.0;
-};
-return a / b;`,D7=`
-  // vec4 one = vec4(equal(a, b));
-  // return one + (vec4(1.0) - one) * a / b;
-  vec4 result = a / b;
-  if(a.x == b.x) {
-    result.x = 1.;
-  }
-  if(a.y == b.y) {
-    result.y = 1.;
-  }
-  if(a.z == b.z) {
-    result.z = 1.;
-  }
-  if(a.w == b.w) {
-    result.w = 1.;
-  }
-
-  return result;
-`,Vv=it({opSnippet:A7,packedOpSnippet:D7,checkOutOfBounds:!0}),g$={kernelName:Qn,backendName:"webgl",kernelFunc:Vv};var x$="return a - b;",Gv=it({opSnippet:x$,packedOpSnippet:x$,supportsComplex:!0,cpuKernelImpl:zA}),y$={kernelName:Do,backendName:"webgl",kernelFunc:Gv};function jv(r){let{inputs:e,backend:t,attrs:n}=r,{logits:o}=e,{dim:s}=n,a=y.parseAxisParam([s],o.shape),i=Ov({inputs:{x:o},backend:t,attrs:{reductionIndices:a,keepDims:!1}}),l=N.expandShapeToKeepDim(i.shape,a),u=ce({inputs:{x:i},backend:t,attrs:{shape:l}}),c=Gv({inputs:{a:o,b:u},backend:t}),p=Iv({inputs:{x:c},backend:t}),m=Ef({inputs:{x:p},backend:t,attrs:{axis:a,keepDims:!1}}),f=ce({inputs:{x:m},backend:t,attrs:{shape:l}}),d=Vv({inputs:{a:p,b:f},backend:t});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(p),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(f),d}var b$={kernelName:Eo,backendName:"webgl",kernelFunc:jv};function $7(r){let{inputs:e,backend:t,attrs:n}=r,{logits:o}=e,{numSamples:s,seed:a,normalized:i}=n,l=i?o:jv({inputs:{logits:o},backend:t,attrs:{dim:o.shape.length-1}}),u=l.shape[0],c=l.shape[1],p=new Bv(u,c,s),m=p.getCustomSetupFunc(a),f=t.runWebGLProgram(p,[l],"int32",m);return i||t.disposeIntermediateTensorInfo(l),f}var w$={kernelName:uu,backendName:"webgl",kernelFunc:$7};var _$="return -x;";function R7(r){let{inputs:e,backend:t}=r,{x:n}=e;if(t.shouldExecuteOnCPU([n])){let s=t.texData.get(n.dataId),[a,i]=RA(s.values,n.shape,n.dtype);return t.makeTensorInfo(i,n.dtype,a)}let o;return W().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new Fs(n.shape,_$):o=new rn(n.shape,_$),t.runWebGLProgram(o,[n],n.dtype)}var k$={kernelName:cs,backendName:"webgl",kernelFunc:R7};var F7=Tr.nonMaxSuppressionV3Impl;function O7(r){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:n}=r,{boxes:o,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:l}=n,u=t.readSync(o.dataId),c=t.readSync(s.dataId),{selectedIndices:p}=F7(u,c,a,i,l);return t.makeTensorInfo([p.length],"int32",new Int32Array(p))}var v$={kernelName:_i,backendName:"webgl",kernelFunc:O7};var P7=Tr.nonMaxSuppressionV4Impl;function M7(r){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:n}=r,{boxes:o,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:l,padToMaxOutputSize:u}=n,c=t.readSync(o.dataId),p=t.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=P7(c,p,a,i,l,u);return[t.makeTensorInfo([m.length],"int32",new Int32Array(m)),t.makeTensorInfo([],"int32",new Int32Array([f]))]}var C$={kernelName:ki,backendName:"webgl",kernelFunc:M7};var L7=Tr.nonMaxSuppressionV5Impl;function z7(r){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:n}=r,{boxes:o,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:l,softNmsSigma:u}=n,c=t.readSync(o.dataId),p=t.readSync(s.dataId),m=a,f=i,d=l,h=u,{selectedIndices:g,selectedScores:x}=L7(c,p,m,f,d,h);return[t.makeTensorInfo([g.length],"int32",new Int32Array(g)),t.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var I$={kernelName:vi,backendName:"webgl",kernelFunc:z7};var Wv=class{constructor(e,t,n,o){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=`
-      void main() {
-        ivec2 coords = getOutputCoords();
-        int index = round(getIndices(coords.x));
-        setOutput(mix(float(${o}), float(${n}),
-                      float(index == coords.y)));
-      }
-    `}};var B7=r=>{let{inputs:e,backend:t,attrs:n}=r,{indices:o}=e,{depth:s,onValue:a,offValue:i}=n,l=y.sizeFromShape(o.shape),u=new Wv(l,s,a,i),c=ce({inputs:{x:o},backend:t,attrs:{shape:[l]}}),p=t.runWebGLProgram(u,[c],o.dtype);t.disposeIntermediateTensorInfo(c);let m=[...o.shape,s],f=ce({inputs:{x:p},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(p),f},N$={kernelName:ho,backendName:"webgl",kernelFunc:B7};function Ff(r){let{inputs:e,backend:t}=r,{x:n}=e;if(n.dtype==="complex64"){let o=Va({inputs:{input:n},backend:t}),s=Ff({inputs:{x:o},backend:t}),a=ec({inputs:{input:n},backend:t}),i=Ff({inputs:{x:a},backend:t}),l=nn({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(o),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),l}else return Rf({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:t})}var S$={kernelName:ys,backendName:"webgl",kernelFunc:Ff};function T$(r){let{inputs:e,backend:t}=r,{x:n}=e;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let o=Va({inputs:{input:n},backend:t}),s=T$({inputs:{x:o},backend:t}),a=ec({inputs:{input:n},backend:t}),i=Ff({inputs:{x:a},backend:t}),l=nn({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(o),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),l}else return Rf({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:t})}var E$={kernelName:ps,backendName:"webgl",kernelFunc:T$};function V7(r){let{inputs:e,backend:t,attrs:n}=r,{axis:o}=n;if(e.length===1)return sx({inputs:{input:e[0]},backend:t,attrs:{dim:o}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],l=e.map(c=>{let p=sx({inputs:{input:c},backend:t,attrs:{dim:o}});return i.push(p),p}),u=mv({inputs:l,backend:t,attrs:{axis:o}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var A$={kernelName:ms,backendName:"webgl",kernelFunc:V7};var Uv=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let o=e.length,s=Le(o),a=t.map(u=>u[0]).join(","),i=t.map((u,c)=>u[0]+e[c]).join(","),l=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o);if(o===1){this.userCode=`
-        int start = ${a};
-        int end = ${i};
-
-        void main() {
-          int outC = getOutputCoords();
-          if (outC < start || outC >= end) {
-            setOutput(float(${n}));
-          } else {
-            setOutput(getX(outC - start));
-          }
-        }
-      `;return}this.userCode=`
-      ${s} start = ${s}(${a});
-      ${s} end = ${s}(${i});
-
-      void main() {
-        ${s} outC = getOutputCoords();
-        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
-          setOutput(float(${n}));
-        } else {
-          ${s} coords = outC - start;
-          setOutput(getX(${l}));
-        }
-      }
-    `}};var qv=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,g)=>h[0]+e[g]+h[1]);let o=e.length,s=Le(o),a=t.map(h=>h[0]).join(","),i=t.map((h,g)=>h[0]+e[g]).join(","),l=Wt("rc",o),u=Wt("source",o),c=`${l[o-1]} < ${this.outputShape[o-1]}`,p=o===1?"source":`vec2(${u.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${l[o-1]} += 1;
-       if(${c}) {
-      `,o===1?"":`}
-       rc = outputLoc;
-       ${l[o-2]} += 1;
-       if(${l[o-2]} < ${this.outputShape[o-2]}) {`,o===1?"":`  ${l[o-1]} += 1;
-         if(${c}) {`],f=o===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",d="";for(let h=0,g=o===1?2:4;h<g;h++)d+=`
-        ${m[h]}
-        if (${f}) {
-          result[${h}] = float(${n});
-        } else {
-          ${s} source = rc - start;
-          result[${h}] = getChannel(getX(${u.join()}), ${p});
-        }
-      `;d+=o===1?"} ":"}}",this.userCode=`
-      const ${s} start = ${s}(${a});
-      const ${s} end = ${s}(${i});
-
-      void main() {
-        ${s} outputLoc = getOutputCoords();
-        vec4 result = vec4(0.);
-        ${d}
-        setOutput(result);
-      }
-    `}};var Hv=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{paddings:s,constantValue:a}=n,i=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new qv(o.shape,s,a):new Uv(o.shape,s,a);return t.runWebGLProgram(i,[o],o.dtype)},D$={kernelName:go,backendName:"webgl",kernelFunc:Hv};var G7=`
-  if(a < 0.0 && floor(b) < b){
-    return NAN;
-  }
-  if (b == 0.0) {
-    return 1.0;
-  }
-  return (round(mod(b, 2.0)) != 1) ?
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-`,j7=`
-  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
-  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));
-  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);
-  vec4 result = multiplier * pow(abs(a), b);
-
-  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
-  bvec4 isExpZero = equal(b, vec4(0.0));
-  result.r = isExpZero.r ? 1.0 : result.r;
-  result.g = isExpZero.g ? 1.0 : result.g;
-  result.b = isExpZero.b ? 1.0 : result.b;
-  result.a = isExpZero.a ? 1.0 : result.a;
-
-  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));
-  `+gl+`
-  return result;
-`,W7=it({opSnippet:G7,packedOpSnippet:j7}),$$={kernelName:xo,backendName:"webgl",kernelFunc:W7};function U7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=[],u=y.parseAxisParam(s,o.shape),c=u,p=N.getAxesPermutation(c,i),m=o;p!=null&&(m=zt({inputs:{x:o},backend:t,attrs:{perm:p}}),c=N.getInnerMostAxes(c.length,i),l.push(m)),N.assertAxesAreInnerMostDims("prod",c,i);let f;if(t.shouldExecuteOnCPU([m])){let d=t.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=FA(m.shape,m.dtype,d,c);f=t.makeTensorInfo(g,x,h)}else{let[d,h]=N.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=ce({inputs:{x:m},backend:t,attrs:{shape:[-1,g]}}),b=hu(o.dtype),w=vn(x,b,"prod",t);f=ce({inputs:{x:w},backend:t,attrs:{shape:d}}),l.push(x),l.push(w)}if(a){l.push(f);let d=N.expandShapeToKeepDim(f.shape,u);f=ce({inputs:{x:f},backend:t,attrs:{shape:d}})}return l.forEach(d=>t.disposeIntermediateTensorInfo(d)),f}var R$={kernelName:Ci,backendName:"webgl",kernelFunc:U7};var Kv=r=>{let{backend:e,attrs:t}=r,{start:n,stop:o,step:s,dtype:a}=t,i=OA(n,o,s,a);return e.makeTensorInfo([i.length],a,i)},F$={kernelName:fa,backendName:"webgl",kernelFunc:Kv};var q7="return 1.0 / x;",H7=ve({opSnippet:q7}),O$={kernelName:Ii,backendName:"webgl",kernelFunc:H7};var K7=hr+`
-  return (x < 0.0) ? 0.0 : x;
-`,X7=`
-  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
-  bvec4 isNaN = isnan(x);
-
-  result.r = isNaN.r ? x.r : result.r;
-  result.g = isNaN.g ? x.g : result.g;
-  result.b = isNaN.b ? x.b : result.b;
-  result.a = isNaN.a ? x.a : result.a;
-
-  return result;
-`,Y7=ve({opSnippet:K7,packedOpSnippet:X7}),P$={kernelName:bo,backendName:"webgl",kernelFunc:Y7};var Z7=hr+`
-  return (x < 0.0) ? 0.0 : min(6.0, x);
-`,J7=`
-  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
-  bvec4 isNaN = isnan(x);
-
-  result.r = isNaN.r ? x.r : result.r;
-  result.g = isNaN.g ? x.g : result.g;
-  result.b = isNaN.b ? x.b : result.b;
-  result.a = isNaN.a ? x.a : result.a;
-
-  return result;
-`,Q7=ve({opSnippet:Z7,packedOpSnippet:J7}),M$={kernelName:_o,backendName:"webgl",kernelFunc:Q7};var Xv=class{constructor(e,t,n,o,s){this.variableNames=["A"],this.outputShape=[];let[a,i,l,u]=e;this.outputShape=[a,t,n,u];let c=[o&&t>1?i-1:i,o&&n>1?l-1:l],p=[o&&t>1?t-1:t,o&&n>1?n-1:n],m;s?m="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":m="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
-      const vec2 effectiveInputOverOutputRatioRC = vec2(
-          ${c[0]/p[0]},
-          ${c[1]/p[1]});
-      const vec2 inputShapeRC = vec2(${i}.0, ${l}.0);
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int d = coords[3];
-        ivec2 yRC = coords.yz;
-
-        // Fractional source index.
-        vec2 sourceFracIndexRC = ${m};
-
-        // Compute the four integer indices.
-        ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));
-        ivec2 sourceCeilRC = ivec2(
-          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
-
-        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);
-        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);
-        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);
-        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);
-
-        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);
-
-        float top = topLeft + (topRight - topLeft) * fracRC.y;
-        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;
-        float newValue = top + (bottom - top) * fracRC.x;
-
-        setOutput(newValue);
-      }
-    `}};var Yv=class{constructor(e,t,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,l,u]=e;this.outputShape=[a,t,n,u];let c=[o&&t>1?i-1:i,o&&n>1?l-1:l],p=[o&&t>1?t-1:t,o&&n>1?n-1:n],m;s?m="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":m="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
-      const vec3 effectiveInputOverOutputRatioRC = vec3(
-          ${c[0]/p[0]},
-          ${c[1]/p[1]},
-          ${c[1]/p[1]});
-      const vec3 inputShapeRC = vec3(${i}.0, ${l}.0,
-                                     ${l}.0);
-
-      float getAValue(int b, int r, int c, int d) {
-        return getChannel(getA(b, r, c, d), vec2(c, d));
-      }
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int d = coords[3];
-        // Calculate values for next column in yRC.z.
-        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);
-
-        // Fractional source index.
-        vec3 sourceFracIndexRC = ${m};
-
-        // Compute the four integer indices.
-        ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));
-        ivec3 sourceCeilRC = ivec3(
-          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
-
-        // Should we calculate next column and row elements in 2x2 packed cell.
-        bool hasNextCol = d < ${u-1};
-        bool hasNextRow = coords.z < ${n-1};
-
-        // In parallel, construct four corners for all four components in
-        // packed 2x2 cell.
-        vec4 topLeft = vec4(
-          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),
-          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)
-                     : 0.0,
-          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)
-                     : 0.0,
-          (hasNextRow && hasNextCol) ?
-            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);
-
-        vec4 bottomLeft = vec4(
-          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),
-          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)
-                     : 0.0,
-          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)
-                     : 0.0,
-          (hasNextRow && hasNextCol) ?
-            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);
-
-        vec4 topRight = vec4(
-          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),
-          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)
-                     : 0.0,
-          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)
-                     : 0.0,
-          (hasNextRow && hasNextCol) ?
-            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);
-
-        vec4 bottomRight = vec4(
-          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),
-          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)
-                     : 0.0,
-          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)
-                     : 0.0,
-          (hasNextRow && hasNextCol) ?
-            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);
-
-        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);
-
-        vec4 top = mix(topLeft, topRight, fracRC.yyzz);
-        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);
-        vec4 newValue = mix(top, bottom, fracRC.x);
-
-        setOutput(newValue);
-      }
-    `}};function eY(r){let{inputs:e,backend:t,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:a,size:i}=n,[l,u]=i,c=W().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Yv(o.shape,l,u,s,a):new Xv(o.shape,l,u,s,a);return t.runWebGLProgram(c,[o],"float32")}var L$={kernelName:wo,backendName:"webgl",kernelFunc:eY};var Zv=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,o,s]=t,[,a,i]=e,l=[n&&a>1?o-1:o,n&&i>1?s-1:s],u=[n&&a>1?a-1:a,n&&i>1?i-1:i],c=l[0]/u[0],p=l[1]/u[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int d = coords[3];
-        int r = coords[1];
-        int c = coords[2];
-
-        float accumulator = 0.0;
-
-        const float heightScale = float(${c});
-        const float widthScale = float(${p});
-
-        const float invHeightScale = float(${m});
-        const float invWidthScale = float(${f});
-
-        const int winHeight = int(${d});
-        const int winWidth = int(${h});
-
-        // Compute bounds for where in dy we will look
-        float startRLerp = floor(float(r) * invHeightScale);
-        int startDyR = int(startRLerp - float(winHeight / 2));
-
-        float startCLerp = floor(float(c) * invWidthScale);
-        int startDyC = int(startCLerp - float(winWidth / 2));
-
-        // Loop over dy
-        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
-          int dyR = dyROffset + startDyR;
-
-          // Guard against the window exceeding the bounds of dy
-          if (dyR < 0 || dyR >= ${a}) {
-            continue;
-          }
-
-          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
-            int dyC = dyCOffset + startDyC;
-
-            // Guard against the window exceeding the bounds of dy
-            if (dyC < 0 || dyC >= ${i}) {
-              continue;
-            }
-
-            float dxR = float(dyR) * heightScale;
-            int topDxRIndex = int(floor(dxR));
-            int bottomDxRIndex = int(min(ceil(dxR), ${o-1}.0));
-            float dxRLerp = dxR - float(topDxRIndex);
-            float inverseDxRLerp = 1.0 - dxRLerp;
-
-            float dxC = float(dyC) * widthScale;
-            int leftDxCIndex = int(floor(dxC));
-            int rightDxCIndex = int(min(ceil(dxC), ${s-1}.0));
-            float dxCLerp = dxC - float(leftDxCIndex);
-            float inverseDxCLerp = 1.0 - dxCLerp;
-
-            if (r == topDxRIndex && c == leftDxCIndex) {
-              // topLeft
-              accumulator +=
-                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;
-            }
-
-            if (r == topDxRIndex && c == rightDxCIndex) {
-              // topRight
-              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;
-            }
-
-            if (r == bottomDxRIndex && c == leftDxCIndex) {
-              // bottomLeft
-              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;
-            }
-
-            if (r == bottomDxRIndex && c == rightDxCIndex) {
-              // bottomRight
-              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;
-            }
-          }
-        }
-        // End loop over dy
-
-        setOutput(accumulator);
-      }
-    `}};function tY(r){let{inputs:e,backend:t,attrs:n}=r,{images:o,dy:s}=e,{alignCorners:a}=n,i=new Zv(s.shape,o.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var z$={kernelName:mu,backendName:"webgl",kernelFunc:tY};var Jv=class{constructor(e,t,n,o,s){this.variableNames=["A"],this.outputShape=[];let[a,i,l,u]=e;this.outputShape=[a,t,n,u];let c=[o&&t>1?i-1:i,o&&n>1?l-1:l],p=[o&&t>1?t-1:t,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":f="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
-      const vec2 effectiveInputOverOutputRatioRC = vec2(
-          ${c[0]/p[0]},
-          ${c[1]/p[1]});
-      const vec2 inputShapeRC = vec2(${i}.0, ${l}.0);
-
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int d = coords[3];
-        ivec2 yRC = coords.yz;
-
-        // Fractional source index.
-        vec2 sourceFracIndexRC = ${f};
-
-        // Compute the coordinators of nearest neighbor point.
-        ivec2 sourceNearestRC = ivec2(
-          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m})));
-        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);
-
-        setOutput(newValue);
-      }
-    `}};function rY(r){let{inputs:e,backend:t,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:a,size:i}=n,[l,u]=i,c=new Jv(o.shape,l,u,s,a);return t.runWebGLProgram(c,[o],o.dtype)}var B$={kernelName:da,backendName:"webgl",kernelFunc:rY};var Qv=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,o,s]=t,[,a,i]=e,l=[n&&a>1?o-1:o,n&&i>1?s-1:s],u=[n&&a>1?a-1:a,n&&i>1?i-1:i],c=l[0]/u[0],p=l[1]/u[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`
-      void main() {
-        ivec4 coords = getOutputCoords();
-        int b = coords[0];
-        int d = coords[3];
-        int r = coords[1];
-        int c = coords[2];
-
-        float accumulator = 0.0;
-
-        const float heightScale = float(${c});
-        const float widthScale = float(${p});
-
-        const float invHeightScale = float(${m});
-        const float invWidthScale = float(${f});
-
-        const int winHeight = int(${d});
-        const int winWidth = int(${h});
-
-        // Compute bounds for where in dy we will look
-        float startRLerp = floor(float(r) * invHeightScale);
-        int startDyR = int(floor(startRLerp - float(winHeight / 2)));
-
-        float startCLerp = floor(float(c) * invWidthScale);
-        int startDyC = int(floor(startCLerp - float(winWidth / 2)));
-
-        // Loop over dy
-        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
-          int dyR = dyROffset + startDyR;
-
-          // Guard against the window exceeding the bounds of dy
-          if (dyR < 0 || dyR >= ${a}) {
-            continue;
-          }
-
-          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
-            int dyC = dyCOffset + startDyC;
-
-            // Guard against the window exceeding the bounds of dy
-            if (dyC < 0 || dyC >= ${i}) {
-              continue;
-            }
-
-            float sourceFracRow =
-              float(${l[0]}) *
-                (float(dyR) / float(${u[0]}));
-
-            float sourceFracCol =
-                float(${l[1]}) *
-                  (float(dyC) / float(${u[1]}));
-
-            int sourceNearestRow = int(min(
-                float(int(${o}) - 1),
-                ${n} ? float(round(sourceFracRow)) :
-                                  float(floor(sourceFracRow))));
-
-            int sourceNearestCol = int(min(
-                float(int(${s}) - 1),
-                ${n} ? float(round(sourceFracCol)) :
-                                  float(floor(sourceFracCol))));
-
-            if (r == sourceNearestRow && c == sourceNearestCol) {
-              accumulator += getDy(b, dyR, dyC, d);
-            }
-          }
-        }
-        // End loop over dy
-
-        setOutput(accumulator);
-      }
-    `}};function nY(r){let{inputs:e,backend:t,attrs:n}=r,{images:o,dy:s}=e,{alignCorners:a}=n,i=new Qv(s.shape,o.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var V$={kernelName:pu,backendName:"webgl",kernelFunc:nY};var e0=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=`
-        void main() {
-          int coord = getOutputCoords();
-          setOutput(getX(${e[0]} - coord - 1));
-        }
-      `;return}let o=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,s=e.map((i,l)=>o(l)).join(","),a=Le(n);this.userCode=`
-      void main() {
-        ${a} coords = getOutputCoords();
-        setOutput(getX(${s}));
-      }
-    `}};var t0=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;let o=Wt("rc",n),s=`${o[n-1]} + 1 < ${this.outputShape[n-1]}`,a=`${o[n-2]} + 1 < ${this.outputShape[n-2]}`,i=Le(n);n===1?this.userCode=`
-        void main(){
-          int rc = getOutputCoords();
-          vec4 result = vec4(0.);
-          result.r = getChannel(getX(${e[0]} - rc - 1),
-            ${e[0]} - rc - 1);
-          if(${s}){
-              result.g = getChannel(getX(${e[0]} - (rc  + 1) - 1),
-                ${e[0]} - (rc  + 1) - 1);
-          }
-          setOutput(result);
-        }
-      `:this.userCode=`
-        void main() {
-          ${i} rc = getOutputCoords();
-          vec4 result = vec4(0.);
-          result.r = ${l(o.slice())};
-          if(${s}){
-            result.g = ${u(o.slice())};
-          }
-          if(${a}) {
-            result.b = ${c(o.slice())};
-            if(${s}) {
-              result.a = ${p(o.slice())};
-            }
-          }
-          setOutput(result);
-        }
-    `;function l(d){return m(d)}function u(d){return d[n-1]="("+d[n-1]+" + 1)",m(d)}function c(d){return d[n-2]="("+d[n-2]+" + 1)",m(d)}function p(d){return d[n-1]="("+d[n-1]+" + 1)",d[n-2]="("+d[n-2]+" + 1)",m(d)}function m(d){let h=e.map((b,w)=>f(w,d)),g=h.join(","),x=h.slice(-2).join(",");return`getChannel(getX(${g}), vec2(${x}))`}function f(d,h){return t.indexOf(d)!==-1&&e[d]!==1?`${e[d]} - ${h[d]} - 1`:`${h[d]}`}}};function oY(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{dims:s}=n,a=o.shape.length,i=y.parseAxisParam(s,o.shape);if(a===0)return Ut({inputs:{x:o},backend:t});let l=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new t0(o.shape,i):new e0(o.shape,i);return t.runWebGLProgram(l,[o],o.dtype)}var G$={kernelName:ko,backendName:"webgl",kernelFunc:oY};var r0=class{constructor(e,t,n,o){this.variableNames=["Image"],this.outputShape=[];let s=e[1],a=e[2],i=Math.sin(t).toFixed(3),l=Math.cos(t).toFixed(3);this.outputShape=e;let[u,c]=N.getImageCenter(o,s,a),p=u.toFixed(3),m=c.toFixed(3),f="";typeof n=="number"?f=`float outputValue = ${n.toFixed(2)};`:f=`
-        vec3 fill = vec3(${n.join(",")});
-        float outputValue = fill[coords[3]];`,this.userCode=`
-        void main() {
-          ivec4 coords = getOutputCoords();
-          int x = coords[2];
-          int y = coords[1];
-          float coordXFloat = (float(x) - ${p}) * ${l} - (float(y) - ${m}) * ${i};
-          float coordYFloat = (float(x) - ${p}) * ${i} + (float(y) - ${m}) * ${l};
-          int coordX = int(round(coordXFloat + ${p}));
-          int coordY = int(round(coordYFloat + ${m}));
-          ${f}
-          if(coordX >= 0 && coordX < ${a} && coordY >= 0 && coordY < ${s}) {
-            outputValue = getImage(coords[0], coordY, coordX, coords[3]);
-          }
-          setOutput(outputValue);
-        }
-    `}};var j$={kernelName:Fi,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:n}=r,{radians:o,fillValue:s,center:a}=e,i=t,l=new r0(n.shape,o,s,a);return i.runWebGLProgram(l,[n],n.dtype)}};var sY=`
-  // OpenGL ES does not support round function.
-  // The algorithm is based on banker's rounding.
-  float base = floor(x);
-  if ((x - base) < 0.5) {
-    return floor(x);
-  } else if ((x - base) > 0.5) {
-    return ceil(x);
-  } else {
-    if (mod(base, 2.0) == 0.0) {
-      return base;
-    } else {
-      return base + 1.0;
-    }
-  }
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-  bool too_large = x > -threshold;
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-  float result;
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-      float getSegmentIdAtIndex(int inIdx) {
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-
-      void main() {
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-        int inOffset = int(floor(float(outIdx) / float(
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-        int currentSeg = int(mod(float(outIdx), float(${a})));
-
-        float sumValue = 0.0;
-
-        for (int i = 0; i < ${c}; i += 4) {
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-            getValue(batch, inIdx + 3)
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-          vec4 segFilter = vec4(
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-
-          ${m}
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-
-        int inIdx = inOffset + ${c};
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-          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));
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-          vec4 segFilter = vec4(
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-            0,
-            0
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-
-          ${m}
-        } else if (${p===2}) {
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-          vec4 segFilter = vec4(
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-              0
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-          ${m}
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-          ${m}
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Found: ${this.outputs.map(b=>b.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(let b of this.outputs){let w=b.sourceLayer,_=b.nodeIndex,k=b.tensorIndex;this.outputLayers.push(w),this.outputLayersNodeIndices.push(_),this.outputLayersTensorIndices.push(k)}for(let b of this.inputs){let w=b.sourceLayer,_=b.nodeIndex,k=b.tensorIndex;Ln(_===0,"input layer has >1 nodes"),Ln(k===0,"input layer has >1 tensors"),this.inputLayers.push(w),this.inputLayersNodeIndices.push(_),this.inputLayersTensorIndices.push(k)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let b=0;b<this.inputLayers.length;b++){let w=this.inputLayers[b];if(!(w instanceof Hi))throw new TypeError(`Input layers to a LayersModel must be InputLayer objects. Received inputs: ${e.inputs}. Input ${b} (0-based) originates from layer type ${w.getClassName()}.`);this.inputNames.push(w.name),this.feedInputShapes.push(w.batchInputShape),this.feedInputNames.push(w.name)}for(let b of this.outputLayers)this.outputNames.push(b.name);this.internalInputShapes=this.inputs.map(b=>b.shape),this.internalOutputShapes=this.outputs.map(b=>b.shape);let t={},n={},o={},s={},a={},i=[],l=(b,w,_,k,E,S)=>{(k==null||E==null||S==null)&&(k=b.sourceLayer,E=b.nodeIndex,S=b.tensorIndex);let R=k.inboundNodes[E];if(_.indexOf(R)!==-1)throw new Mr(`The tensor ${b.name} at layer "${k.name}" is part of a cycle.`);if(w.indexOf(R)!==-1)return;this.containerNodes.add(zn.nodeKey(k,E)),k.id in a||(a[k.id]=Object.keys(a).length),_.indexOf(R)===-1&&_.push(R);let F=R.inboundLayers.length;for(let P=0;P<F;P++){let j=R.inputTensors[P],G=R.inboundLayers[P],U=R.nodeIndices[P],X=R.tensorIndices[P];l(j,w,_,G,U,X)}for(w.push(R);_.indexOf(R)>=0;)_.splice(_.indexOf(R),1);i.push(R)},u=[],c=[];for(let b of this.outputs)l(b,u,c);let p=i.slice().reverse();for(let b of p){n[b.id]=b,b.id in t||(t[b.id]=0);let w=t[b.id],_=o[b.outboundLayer.id]==null?0:o[b.outboundLayer.id];w=Math.max(w,_),o[b.outboundLayer.id]=w,s[b.outboundLayer.id]=b.outboundLayer,t[b.id]=w;for(let k=0;k<b.inboundLayers.length;k++){let E=b.inboundLayers[k],S=b.nodeIndices[k],R=E.inboundNodes[S],F=t[R.id]==null?0:t[R.id];t[R.id]=Math.max(w+1,F),n[R.id]=R}}let m={};for(let b in t){let w=t[b];w in m||(m[w]=[]),m[w].push(n[b])}let f={};for(let b in o){let w=o[b];w in f||(f[w]=[]),f[w].push(s[b])}let d=Object.keys(f).map(b=>parseInt(b,10)).sort(Bf);this.layers=[];for(let b of d){let w=f[b];w.sort((_,k)=>{let E=a[_.id],S=a[k.id];return E<S?-1:E>S?1:0});for(let _ of w)_ instanceof zn&&this.internalContainerRefs.push(_),this.layers.push(_)}this.layersByDepth=f,d=Object.keys(m).map(b=>parseInt(b,10)).sort(Bf);let h=this.inputs.slice(),g=[];for(let b of d)for(let w of m[b]){let _=w.outboundLayer;if(_!=null){for(let k of w.inputTensors)if(h.indexOf(k)===-1)throw new Mr(`Graph disconnected: cannot obtain value for tensor ${k} at layer "${_.name}". 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Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];let e=[];for(let t of this.layers)e=e.concat(t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.layers)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.layers)t.push(...n.trainableWeights);return t.concat(e)}return e}get weights(){return this.trainableWeights.concat(this.nonTrainableWeights)}loadWeights(e,t=!0){let n={},o=0;for(let a of this.layers)for(let i of a.weights){if(n[i.originalName]!=null)throw new B(`Duplicate weight name: ${i.originalName}`);n[i.originalName]=i,o++}let s=[];for(let a in e){let i=a;if(n[a]==null){let l=a.split("/");i=l.slice(0,-2).concat([l[l.length-1]]).join("/")}if(n[i]!=null)s.push([n[i],e[a]]);else if(t)throw new B(`Provided weight data has no target variable: ${a}`);delete n[i]}if(t){let a=[];for(let i in n)a.push(i);if(a.length>0)throw new B(`${a.length} of ${o} weights are not set: ${a}`)}Lp(s)}updatedConfig(){let e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion=`tfjs-layers ${Gp}`,t.backend="TensorFlow.js",t}toJSON(e,t=!0){let n=Mx(this.updatedConfig());return t?JSON.stringify(n):n}call(e,t){return V(()=>{e=wt(e);let n=new Ls;for(let o=0;o<this.inputs.length;++o)n.add(this.inputs[o],e[o]);return cc(this.outputs,n,t)})}computeMask(e,t){return V(()=>{e=wt(e);let n;return t==null?n=Ko(null,e.length):n=wt(t),this.runInternalGraph(e,n)[1]})}computeOutputShape(e){let t=Pp(e);if(t.length!==this.inputLayers.length)throw new B(`Invalid inputShape argument ${e}: model has ${this.inputLayers.length} tensor inputs.`);let n={};for(let i=0;i<t.length;i++){let l=this.inputLayers[i],u=t[i],c=l.name+"_0_0";n[c]=u}let o=Object.keys(this.nodesByDepth).map(i=>parseInt(i,10)).sort(Bf);if(o.length>1)for(let i of o){let l=this.nodesByDepth[i];for(let u of l){let c=u.outboundLayer;if(this.inputLayers.map(h=>h.id).indexOf(c.id)!==-1)continue;let p=[];for(let h=0;h<u.inboundLayers.length;h++){let g=u.inboundLayers[h],x=u.nodeIndices[h],b=u.tensorIndices[h],w=`${g.name}_${x}_${b}`,_=n[w];p.push(_)}let m=c.computeOutputShape(gr(p)),f=Pp(m),d=c.inboundNodes.indexOf(u);for(let h=0;h<f.length;h++){let g=`${c.name}_${d}_${h}`;n[g]=f[h]}}}let s=[],a=[];for(let i=0;i<this.outputLayers.length;i++){let l=this.outputLayers[i],u=this.outputLayersNodeIndices[i],c=this.outputLayersTensorIndices[i],p=`${l.name}_${u}_${c}`;a.push(p)}for(let i=0;i<a.length;i++){let l=a[i];Ln(l in n),s.push(n[l])}return gr(s)}runInternalGraph(e,t){t==null&&(t=Ko(null,e.length));let n={};for(let l=0;l<this.inputs.length;++l){let u=this.inputs[l],c=e[l],p=t[l];n[u.id]=[c,p]}let o=Object.keys(this.nodesByDepth).map(l=>parseInt(l,10)).sort(Bf);for(let l of o){let u=this.nodesByDepth[l];for(let c of u){let p=c.outboundLayer,m=c.inputTensors,f=c.outputTensors,d=new Array;for(let h of m)h.id in n&&d.push(n[h.id]);if(d.length===m.length){let h={},g,x,b,w;if(c.callArgs!=null&&(h=c.callArgs),d.length===1){let[_,k]=d[0];h.mask==null&&(h.mask=k),b=wt(p.call(_,h)),w=wt(p.computeMask(_,k)),g=[_],x=[k]}else g=d.map(_=>_[0]),x=d.map(_=>_[1]),h.mask==null&&(h.mask=x),b=wt(p.call(g,h)),w=wt(p.computeMask(g,x));if(p.activityRegularizer)throw new Se("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(let _=0;_<f.length;++_){let k=f[_],E=b[_],S=w[_];n[k.id]=[E,S]}}}}let s=[],a=[],i=[];for(let l of this.outputs){Ln(l.id in n,`Could not compute output ${l.name} : ${l.id}`);let[u,c]=n[l.id];i.push(u.shape),s.push(u),a.push(c)}return[s,a,i]}buildNodeConversionMap(e){let t={},n;for(let o of this.layers){n=o instanceof zn?1:0;for(let s=0;s<o.inboundNodes.length;s++){let a=zn.nodeKey(o,s);this.containerNodes.has(a)&&(t[a]=n,n+=1)}}return t}getLayer(e,t){if(t!=null){if(this.layers.length<=t)throw new B(`Was asked to retrieve layer at index ${t}, but model only has ${this.layers.length} layer(s).`);return this.layers[t]}else if(e==null)throw new B("Provide either a layer name or layer index");for(let n of this.layers)if(n.name===e)return n;throw new B(`No such layer: ${e}`)}calculateLosses(){return V(()=>{let e=[];for(let t of this.layers)for(let n=0;n<t.inboundNodes.length;++n){let o=zn.nodeKey(t,n);this.containerNodes.has(o)&&e.push(...t.calculateLosses())}return e})}getConfig(){let e={name:this.name},t=this.buildNodeConversionMap(this.layers),n=[];for(let a of this.layers){let i=a.getClassName(),l=a.getConfig(),u=[];for(let p=0;p<a.inboundNodes.length;p++){let m=a.inboundNodes[p],f=zn.nodeKey(a,p),d={};if(this.containerNodes.has(f)){if(m.callArgs)try{JSON.stringify(m.callArgs),d=m.callArgs}catch(h){console.warn(`Layer ${a.name} was passed non-serializable keyword arguments: ${m.callArgs}. They will not be included in the serialized model (and thus will be missing at deserialization time).`),d={}}if(m.inboundLayers.length>0){let h=[];for(let g=0;g<m.inboundLayers.length;g++){let x=m.inboundLayers[g],b=m.nodeIndices[g],w=m.tensorIndices[g],_=zn.nodeKey(x,b),k=t[_];k==null&&(k=0),h.push([x.name,k,w,d])}u.push(h)}}}let c={};c.name=a.name,c.className=i,c.config=l,c.inboundNodes=u,n.push(c)}e.layers=n;let o=[];for(let a=0;a<this.inputLayers.length;a++){let i=this.inputLayers[a],l=this.inputLayersNodeIndices[a],u=zn.nodeKey(i,l);if(!this.containerNodes.has(u))continue;let c=t[u];c==null&&(c=0);let p=this.inputLayersTensorIndices[a];o.push([i.name,c,p])}e.inputLayers=o;let s=[];for(let a=0;a<this.outputLayers.length;a++){let i=this.outputLayers[a],l=this.outputLayersNodeIndices[a],u=zn.nodeKey(i,l);if(!this.containerNodes.has(u))continue;let c=t[u];c==null&&(c=0);let p=this.outputLayersTensorIndices[a];s.push([i.name,c,p])}return e.outputLayers=s,e}static fromConfig(e,t,n={},o=!1){let s={},a={};function i(g,x){g.name in a?a[g.name].push(x):a[g.name]=[x]}function l(g,x){let b=[],w;for(let _ of x){let k=_[0],E=_[1],S=_[2];if(w=_[3]==null?{}:_[3],!(k in s)){i(g,x);return}let R=s[k];if(R.inboundNodes.length<=E){i(g,x);return}let F=R.inboundNodes[E];b.push(F.outputTensors[S])}b.length>0&&g.apply(gr(b),w)}function u(g){let x=g.name,b=Yr(g,t.customObjects!=null?t.customObjects:{});b.setFastWeightInitDuringBuild(o),s[x]=b,g.inboundNodes.forEach(_=>{if(!(_ instanceof Array))throw new B(`Corrupted configuration, expected array for nodeData: ${_}`);i(b,_)})}let c=t.name,p=t.layers;for(let g of p)u(g);for(;!BM(a);)for(let g of p){let x=s[g.name];if(x.name in a){let b=a[x.name];delete a[x.name];for(let w of b)l(x,w)}}let m=[],f=[],d=t.inputLayers;for(let g of d){let x=g[0],b=g[1],w=g[2];Ln(x in s);let k=s[x].inboundNodes[b].outputTensors;m.push(k[w])}let h=t.outputLayers;for(let g of h){let x=g[0],b=g[1],w=g[2];Ln(x in s);let k=s[x].inboundNodes[b].outputTensors;f.push(k[w])}return new e({inputs:m,outputs:f,name:c})}get stateful(){if(this._stateful)throw new B("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(let e of this.layers)if(e.stateful)return!0;return!1}resetStates(){V(()=>{this.layers.forEach(e=>{e.stateful&&e.resetStates()})})}};function mQ(r,e,t){let n=e.length;if(r==null||Array.isArray(r)&&r.length===0)return e.map(o=>null);if(n===1)return Array.isArray(r)&&r.length===1?r:typeof r=="object"&&e[0]in r?[r[e[0]]]:[r];if(Array.isArray(r)){if(r.length!==n)throw new Error(`Provided ${t} is an array of ${r.length} element(s), but the model has ${n} outputs. Make sure a set of weights is provided for each model output.`);return r}else if(typeof r=="object"&&Object.keys(r).length>0&&typeof r[Object.keys(r)[0]]=="object"){let o=[];return e.forEach(s=>{s in r?o.push(r[s]):o.push(null)}),o}else throw new Error(`The model has multiple (${n}) outputs, so ${t} must be either an array with ${n} elements or an object with ${e} keys. Provided ${t} not understood: ${JSON.stringify(r)}`)}function Lx(r,e){return mQ(r,e,"classWeight")}async function zx(r,e,t,n){if(e!=null||n!=null)throw new Error("Support sampleWeight is not implemented yet");if(t!=null){let o=V(()=>{if(r.shape.length===1)return r.clone();if(r.shape.length===2)if(r.shape[1]>1){let i=1;return r.argMax(i)}else{if(r.shape[1]===1)return r.reshape([r.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${r.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${r.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),s=Array.from(await o.data());Ee(o);let a=[];return s.forEach(i=>{if(t[i]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${i} exists in the data but not in classWeight`);a.push(t[i])}),Gt(a,"float32")}else return null}function vL(r,e){return M(r,e)}var fQ=32;function IL(r,e){let t,n,o=e;t=o.xs,n=o.ys,y.assert(t!=null&&n!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor.  The provided Dataset instead generates ${e}`);let s=CL("input",r.inputNames,t),a=CL("output",r.outputNames,n),i=s[0].shape[0];y.assert(s.length===r.inputs.length,()=>`LayersModel has ${r.inputs.length} inputs, but the dataset provides ${s.length} inputs.  (Expected input keys: ${JSON.stringify(r.inputNames)})`),y.assert(a.length===r.outputs.length,()=>`LayersModel has ${r.outputs.length} outputs, but the dataset provides ${a.length} outputs.  (Expected output keys: ${JSON.stringify(r.outputNames)})`);for(let l=0;l<s.length;l++)y.assert(s[l].shape[0]===i,()=>`Batch size mismatch: input ${r.inputNames[l]} has ${s[l].shape[0]}; expected  ${i} based on input ${r.inputNames[0]}.`);for(let l=0;l<a.length;l++)y.assert(a[l].shape[0]===i,()=>`Batch size mismatch: output ${r.outputNames[l]} has ${a[l].shape[0]}; expected  ${i} based on input ${r.inputNames[0]}.`);return{xs:s,ys:a}}function CL(r,e,t){if(t instanceof Ve)return[t];if(Array.isArray(t))return y.assert(t.length===e.length,()=>`Received an array of ${t.length} Tensors, but expected ${e.length} to match the ${r} keys ${e}.`),t;{let n=[];for(let o of e){if(t[o]==null)throw new B(`The feature data generated by the dataset lacks the required ${r} key '${o}'.`);n.push(t[o])}return n}}function dQ(r){if(r.length===3)throw new Se("Validation with sample weights is not implemented yet.");return{xs:r[0],ys:r[1]}}async function SL(r,e,t){let n=t.batchesPerEpoch!=null;if(y.assert(r.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),y.assert(t!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),y.assert(t.epochs!=null&&t.epochs>0&&Number.isInteger(t.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${t.epochs}`),y.assert(!n||t.batchesPerEpoch>0&&Number.isInteger(t.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${t.batchesPerEpoch}`),y.assert(t.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. 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t}makeTrainFunction(){return e=>{let t=[],n=e.slice(0,this.inputs.length),o=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),s=e.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),a=[],i=()=>{let p=[];for(let h=0;h<this.inputs.length;++h)p.push({key:this.inputs[h],value:n[h]});let m=new Ls(p),f=cc(this.outputs,m,{training:!0}),d;for(let h=0;h<this.lossFunctions.length;++h){let x=this.lossFunctions[h](o[h],f[h]);s[h]!=null&&(x=vL(x,s[h]));let b=gt(x);t.push(b),h===0?d=x:d=Q(d,x)}for(let h=0;h<this.metricsTensors.length;++h){let g;if(this.outputs.length>1&&h<this.outputs.length)g=t[h];else{let x=this.metricsTensors[h][0],b=this.metricsTensors[h][1];g=gt(x(o[b],f[b]))}Dt(g),a.push(g)}return d=gt(d),this.calculateLosses().forEach(h=>{d=Q(d,h)}),d},l=this.collectedTrainableWeights.map(p=>p.read()),u=!0;return[this.optimizer_.minimize(i,u,l)].concat(a)}}makeTestFunction(){this.testFunction=e=>V(()=>{let t=[],n,o=e.slice(0,this.inputs.length),s=e.slice(this.inputs.length,this.inputs.length+this.outputs.length),a=[];for(let u=0;u<this.inputs.length;++u)a.push({key:this.inputs[u],value:o[u]});let i=new Ls(a),l=cc(this.outputs,i);for(let u=0;u<this.lossFunctions.length;++u){let c=this.lossFunctions[u],p=gt(c(s[u],l[u]));u===0?n=p:n=Q(n,p),t.push(n)}for(let u=0;u<this.metricsTensors.length;++u){let c=this.metricsTensors[u][0],p=this.metricsTensors[u][1],m=gt(c(s[p],l[p]));t.push(m)}return t})}async fit(e,t,n={}){return EL(this,e,t,n)}async fitDataset(e,t){return SL(this,e,t)}async trainOnBatch(e,t){let n=await this.standardizeUserData(e,t),o=n[0],s=n[1],i=this.makeTrainFunction()(o.concat(s)),l=[];for(let u of i){let c=await u.data();l.push(c[0])}return Ee(i),gr(l)}getNamedWeights(e){let t=[],n=e!=null&&e.trainableOnly,o=n?this.trainableWeights:this.weights,s=this.getWeights(n);for(let a=0;a<o.length;++a)n&&!o[a].trainable||t.push({name:o[a].originalName,tensor:s[a]});return t}set stopTraining(e){this.stopTraining_=e}get stopTraining(){return this.stopTraining_}get optimizer(){return this.optimizer_}set optimizer(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)}dispose(){let e=super.dispose();if(e.refCountAfterDispose===0&&this.optimizer!=null&&this.isOptimizerOwned){let t=qc().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=t-qc().numTensors}return e}getLossIdentifiers(){let e;if(typeof this.loss=="string")e=Xo(this.loss);else if(Array.isArray(this.loss)){for(let t of this.loss)if(typeof t!="string")throw new Error("Serialization of non-string loss is not supported.");e=this.loss.map(t=>Xo(t))}else{let t=Object.keys(this.loss);e={};let n=this.loss;for(let o of t)if(typeof n[o]=="string")e[o]=Xo(n[o]);else throw new Error("Serialization of non-string loss is not supported.")}return e}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Xo(ld(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(e=>Xo(ld(e)));{let e={};for(let t in this.metrics)e[t]=Xo(ld(this.metrics[t]));return e}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");let t=uc(e.optimizer_config),n=Yr(t),o;if(typeof e.loss=="string")o=Ga(e.loss);else if(Array.isArray(e.loss))o=e.loss.map(a=>Ga(a));else if(e.loss!=null){o={};for(let a in e.loss)o[a]=Ga(e.loss[a])}let s;if(Array.isArray(e.metrics))s=e.metrics.map(a=>Ga(a));else if(e.metrics!=null){s={};for(let a in e.metrics)s[a]=Ga(e.metrics[a])}this.compile({loss:o,metrics:s,optimizer:n})}async save(e,t){if(typeof e=="string"){let u=Cr.getSaveHandlers(e);if(u.length===0)throw new B(`Cannot find any save handlers for URL '${e}'`);if(u.length>1)throw new B(`Found more than one (${u.length}) save handlers for URL '${e}'`);e=u[0]}if(e.save==null)throw new B("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");let n=await Cr.encodeWeights(this.getNamedWeights(t)),o=!1,s=null,i={modelTopology:this.toJSON(s,o),format:kQ,generatedBy:`TensorFlow.js tfjs-layers v${Gp}`,convertedBy:null};if((t==null?!1:t.includeOptimizer)&&this.optimizer!=null){i.trainingConfig=this.getTrainingConfig();let u="optimizer",{data:c,specs:p}=await Cr.encodeWeights(await this.optimizer.getWeights(),u);n.specs.push(...p),n.data=Cr.concatenateArrayBuffers([n.data,c])}if(this.userDefinedMetadata!=null){let u=!0;M0(this.userDefinedMetadata,this.name,u),i.userDefinedMetadata=this.userDefinedMetadata}return i.weightData=n.data,i.weightSpecs=n.specs,e.save(i)}setUserDefinedMetadata(e){M0(e,this.name),this.userDefinedMetadata=e}getUserDefinedMetadata(){return this.userDefinedMetadata}};In.className="Model";J.registerClass(In);var V0=class extends In{};V0.className="Functional";J.registerClass(V0);async function RL(r,e){"modelTopology"in r||(r={modelTopology:r}),r=r;let t=r.modelTopology;t.model_config!=null&&(t=t.model_config);let n=uc(t),o=Yr(n,e);if(r.weightsManifest!=null){let s=await Cr.loadWeights(r.weightsManifest,r.pathPrefix,o.weights.map(i=>i.originalName)),a={};for(let i of o.weights)a[i.originalName]=s[i.originalName];o.loadWeights(a),Ee(s)}return o}async function FL(r,e){if(e==null&&(e={}),typeof r=="string"){let t=Cr.getLoadHandlers(r,e);if(t.length===0)t.push(Cr.browserHTTPRequest(r,e));else if(t.length>1)throw new B(`Found more than one (${t.length}) load handlers for URL '${r}'`);r=t[0]}return vQ(r,void 0,e)}async function vQ(r,e,t){if(t==null&&(t={}),r.load==null)throw new B("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let n=await r.load(),o=n.modelTopology;o.model_config!=null&&(o=o.model_config);let s=t.strict==null?!0:t.strict,a=n.weightData!=null&&n.weightSpecs!=null&&s,i=Yr(uc(o),e,a),l=n.trainingConfig;if(l!=null&&i.loadTrainingConfig(l),n.userDefinedMetadata!=null&&i.setUserDefinedMetadata(n.userDefinedMetadata),n.weightData!=null){if(n.weightSpecs==null)throw new B("LayersModel artifacts contains weight data, but not weight specs. 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compiled before being used.");return this.model.evaluate(e,t,n)}async evaluateDataset(e,t){if(!this.built)throw new Mr("The model needs to be compiled before being used.");return this.model.evaluateDataset(e,t)}predict(e,t={}){return this.model==null&&this.build(),this.model.predict(e,t)}predictOnBatch(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)}compile(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(e){this.model.optimizer=e}async fit(e,t,n={}){if(!this.built)throw new Mr("The model needs to be compiled before being used.");return this.model.fit(e,t,n)}async fitDataset(e,t){if(!this.built)throw new Mr("The model needs to be compiled before being used.");return this.model.fitDataset(e,t)}async trainOnBatch(e,t){return this.model.trainOnBatch(e,t)}static fromConfig(e,t,n={},o=!1){let s,a={};if(t instanceof Array){if(t[0].className==null||t[0].className==="Merge")throw new B("Legacy serialization format not supported yet.");s=t}else y.assert(t.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),s=t.layers,delete t.layers,a=t;let i=new e(a);if(!(i instanceof Yi))throw new Se(`Sequential.fromConfig called on non-Sequential input: ${i}`);for(let l of s){let c=Yr(l,void 0,o);o&&c.setFastWeightInitDuringBuild(!0),i.add(c)}return i}set stopTraining(e){if(this.model==null)throw new B("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}get stopTraining(){if(this.model==null)throw new B("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){let e=[];for(let t of this.layers){let n={};n.className=t.getClassName(),n.config=t.getConfig(),e.push(n)}return{name:this.name,layers:e}}};Yi.className="Sequential";J.registerClass(Yi);function OL(r){return new In(r)}function PL(r){return new Yi(r)}function ML(r,e){return e==null&&(e={}),FL(r,e)}function jx(r){return Ix(r)}function LL(r,e){an.registerCallbackConstructor(r,e)}var ln=class extends J.Serializable{getConfig(){return{}}},G0=class extends ln{apply(e,t=1){return oL(e,t)}};G0.className="elu";J.registerClass(G0);var j0=class extends ln{apply(e){return Pu(e)}};j0.className="selu";J.registerClass(j0);var W0=class extends ln{apply(e){return Nr(e)}};W0.className="relu";J.registerClass(W0);var U0=class extends ln{apply(e){return V(()=>Ts(6,Nr(e)))}};U0.className="relu6";J.registerClass(U0);var q0=class extends ln{apply(e){return e}};q0.className="linear";J.registerClass(q0);var H0=class extends ln{apply(e){return 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e={alphaInitializer:Nt(this.alphaInitializer),alphaRegularizer:lt(this.alphaRegularizer),alphaConstraint:Mt(this.alphaConstraint),sharedAxes:this.sharedAxes},t=super.getConfig();return Object.assign(e,t),e}};md.className="PReLU";J.registerClass(md);var fd=class extends Me{constructor(e){super(e==null?{}:e);if(this.DEFAULT_ALPHA=1,e==null&&(e={}),e.alpha!=null&&e.alpha!==this.DEFAULT_ALPHA)throw new Se(`Non-default alpha value (${e.alpha}) is not supported by the ELU layer yet.`);this.alpha=e.alpha==null?this.DEFAULT_ALPHA:e.alpha}call(e,t){let n=Oe(e);return Is(n)}computeOutputShape(e){return e}getConfig(){let e={alpha:this.alpha},t=super.getConfig();return Object.assign(e,t),e}};fd.className="ELU";J.registerClass(fd);var dd=class extends Me{constructor(e){super(e==null?{}:e);this.DEFAULT_THETA=1,e==null&&(e={}),this.theta=e.theta==null?this.DEFAULT_THETA:e.theta}call(e,t){let n=Oe(e);return n.mul(ja(n.greater(this.theta),"float32"))}computeOutputShape(e){return e}getConfig(){let e={theta:this.theta},t=super.getConfig();return Object.assign(e,t),e}};dd.className="ThresholdedReLU";J.registerClass(dd);var hd=class extends Me{constructor(e){super(e==null?{}:e);this.DEFAULT_AXIS=1,e==null&&(e={}),this.softmax=new ud().apply,this.axis=e.axis==null?this.DEFAULT_AXIS:e.axis}call(e,t){let n=Oe(e);return this.softmax(n,this.axis)}computeOutputShape(e){return e}getConfig(){let e={axis:this.axis},t=super.getConfig();return Object.assign(e,t),e}};hd.className="Softmax";J.registerClass(hd);function Nl(r,e,t){if(typeof r=="number")return Ko(r,e);if(r.length!==e)throw new B(`The ${t} argument must be an integer or tuple of ${e} integers. Received: ${r.length} elements.`);for(let n=0;n<e;++n){let o=r[n];if(!QM(o))throw new B(`The ${t} argument must be an integer or tuple of ${e} integers. Received: ${JSON.stringify(r)} including a non-integer number ${o}`)}return r}function un(r,e,t,n,o=1){if(r==null)return r;let s=e+(e-1)*(o-1),a;return t==="same"?a=r:a=r-s+1,Math.floor((a+n-1)/n)}function gd(r,e,t,n){if(r==null)return null;if(n==="valid")r=r*e+Ms([t-e,0]);else if(n==="same")r=r*e;else throw new B(`Unsupport padding mode: ${n}.`);return r}function xd(r,e){return V(()=>(Ft(e),e==="channelsFirst"?We(r,[0,2,3,1]):r))}function nC(r,e){return V(()=>(Ft(e),e==="channelsFirst"?We(r,[0,2,3,4,1]):r))}function IQ(r,e,t,n=1,o="valid",s,a=1){return V(()=>{if(s==null&&(s=Kr()),Ft(s),r.shape.length!==3)throw new B(`The input of a conv1dWithBias operation should be 3, but is ${r.shape.length} instead.`);if(e.shape.length!==3)throw new B(`The kernel for a conv1dWithBias operation should be 3, but is ${e.shape.length} instead`);if(t!=null&&t.shape.length!==1)throw new B(`The bias for a conv1dWithBias operation should be 1, but is ${e.shape.length} instead`);if(s==="channelsFirst"&&(r=We(r,[0,2,1])),o==="causal")throw new Se("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let i=vu(r,e,n,o==="same"?"same":"valid","NWC",a);return t!=null&&(i=on(i,t)),i})}function jL(r,e,t,n=[1,1],o="valid",s,a,i=null){return V(()=>{if(s==null&&(s=Kr()),Ft(s),r.rank!==3&&r.rank!==4)throw new B(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${r.rank}.`);if(e.rank!==3&&e.rank!==4)throw new B(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${r.rank}.`);let l=xd(r,s);if(o==="causal")throw new Se("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=zo.conv2d({x:l,filter:e,strides:n,pad:o==="same"?"same":"valid",dilations:a,dataFormat:"NHWC",bias:t,activation:i}),s==="channelsFirst"&&(l=We(l,[0,3,1,2])),l})}function NQ(r,e,t,n=[1,1,1],o="valid",s,a){return V(()=>{if(s==null&&(s=Kr()),Ft(s),r.rank!==4&&r.rank!==5)throw new B(`conv3dWithBias expects input to be of rank 4 or 5, but received ${r.rank}.`);if(e.rank!==4&&e.rank!==5)throw new B(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${r.rank}.`);let i=nC(r,s);if(o==="causal")throw new Se("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return i=Mm(i,e,n,o==="same"?"same":"valid","NDHWC",a),t!=null&&(i=on(i,t)),s==="channelsFirst"&&(i=We(i,[0,4,1,2,3])),i})}var Wp=class extends Me{constructor(e,t){super(t);if(this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Wp.verifyArgs(t),this.rank=e,qt(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new Se(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=Nl(t.kernelSize,e,"kernelSize"),this.strides=Nl(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,Xr(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Ft(this.dataFormat),this.activation=Bs(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=dt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Lt(t.biasConstraint),this.biasRegularizer=_t(t.biasRegularizer),this.activityRegularizer=_t(t.activityRegularizer),this.dilationRate=Nl(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new B(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new B(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new B(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(Ln("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!hx(e.kernelSize,"number",1,3))throw new B(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:zs(this.activation),useBias:this.useBias,biasInitializer:Nt(this.biasInitializer),biasRegularizer:lt(this.biasRegularizer),activityRegularizer:lt(this.activityRegularizer),biasConstraint:Mt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},mc=class extends Wp{constructor(e,t){super(e,t);this.kernel=null,mc.verifyArgs(t),this.filters=t.filters,qt(this.filters,"filters"),this.kernelInitializer=dt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Lt(t.kernelConstraint),this.kernelRegularizer=_t(t.kernelRegularizer)}build(e){e=et(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new B(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],o=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return V(()=>{e=Oe(e);let n,o=this.bias==null?null:this.bias.read(),s=gx(this.activation.getClassName());if(s!=null&&this.rank===2)n=jL(e,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,s);else{if(this.rank===1)n=IQ(e,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=jL(e,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=NQ(e,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new Se("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=et(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let s=0;s<n.length;++s){let a=un(n[s],this.kernelSize[s],this.padding,this.strides[s],typeof this.dilationRate=="number"?this.dilationRate:this.dilationRate[s]);t.push(a)}let o=[e[0]];return this.dataFormat==="channelsLast"?(o=o.concat(t),o.push(this.filters)):(o.push(this.filters),o=o.concat(t)),o}getConfig(){let e={filters:this.filters,kernelInitializer:Nt(this.kernelInitializer),kernelRegularizer:lt(this.kernelRegularizer),kernelConstraint:Mt(this.kernelConstraint)},t=super.getConfig();return Object.assign(e,t),e}static verifyArgs(e){if(!("filters"in e)||typeof e.filters!="number"||e.filters<1)throw new B(`Convolution layer expected config.filters to be a 'number' > 0 but got ${JSON.stringify(e.filters)}`)}},Sl=class extends mc{constructor(e){super(2,e);Sl.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!hx(e.kernelSize,"number",1,2))throw new B(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};Sl.className="Conv2D";J.registerClass(Sl);var fc=class extends mc{constructor(e){super(3,e);fc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new B(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};fc.className="Conv3D";J.registerClass(fc);var yd=class extends Sl{constructor(e){super(e);if(this.inputSpec=[new At({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new B(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=et(e),e.length!==4)throw new B("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new B("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new At({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return V(()=>{let n=Oe(e);if(n.shape.length!==4)throw new B(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],a,i;this.dataFormat==="channelsFirst"?(a=2,i=3):(a=1,i=2);let l=o[a],u=o[i],c=this.kernelSize[0],p=this.kernelSize[1],m=this.strides[0],f=this.strides[1],d=gd(l,m,c,this.padding),h=gd(u,f,p,this.padding),g=[s,d,h,this.filters];this.dataFormat!=="channelsLast"&&(n=We(n,[0,2,3,1]));let x=Cu(n,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(x=We(x,[0,3,1,2])),this.bias!=null&&(x=on(x,this.bias.read(),this.dataFormat)),this.activation!=null&&(x=this.activation.apply(x)),x})}computeOutputShape(e){e=et(e);let t=e.slice(),n,o,s;this.dataFormat==="channelsFirst"?(n=1,o=2,s=3):(n=3,o=1,s=2);let a=this.kernelSize[0],i=this.kernelSize[1],l=this.strides[0],u=this.strides[1];return t[n]=this.filters,t[o]=gd(t[o],l,a,this.padding),t[s]=gd(t[s],u,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};yd.className="Conv2DTranspose";J.registerClass(yd);var oC=class extends mc{constructor(e,t){super(e,t);if(this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new B("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new B("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new B(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=dt(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=_t(t.depthwiseRegularizer),this.depthwiseConstraint=Lt(t.depthwiseConstraint),this.pointwiseInitializer=dt(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=_t(t.pointwiseRegularizer),this.pointwiseConstraint=Lt(t.pointwiseConstraint)}build(e){if(e=et(e),e.length<this.rank+2)throw new B(`Inputs to SeparableConv${this.rank}D should have rank ${this.rank+2}, but received input shape: ${JSON.stringify(e)}`);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null||e[t]<0)throw new B(`The channel dimension of the inputs should be defined, but found ${JSON.stringify(e[t])}`);let n=e[t],o=this.kernelSize.concat([n,this.depthMultiplier]),s=[];for(let i=0;i<this.rank;++i)s.push(1);s.push(n*this.depthMultiplier,this.filters);let a=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",o,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,a,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",s,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,a,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,a,this.biasConstraint):this.bias=null,this.inputSpec=[new At({ndim:this.rank+2,axes:{[t]:n}})],this.built=!0}call(e,t){return V(()=>{e=Oe(e);let n;if(this.rank===1)throw new Se("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=We(e,[0,2,3,1])),n=Zm(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=on(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=We(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Nt(this.depthwiseInitializer),e.pointwiseInitializer=Nt(this.pointwiseInitializer),e.depthwiseRegularizer=lt(this.depthwiseRegularizer),e.pointwiseRegularizer=lt(this.pointwiseRegularizer),e.depthwiseConstraint=Mt(this.depthwiseConstraint),e.pointwiseConstraint=Mt(this.pointwiseConstraint),e}};oC.className="SeparableConv";var bd=class extends oC{constructor(e){super(2,e)}};bd.className="SeparableConv2D";J.registerClass(bd);var dc=class extends mc{constructor(e){super(1,e);dc.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!hx(e.kernelSize,"number",1,1))throw new B(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};dc.className="Conv1D";J.registerClass(dc);var wd=class extends Me{constructor(e){super(e);typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return V(()=>{if(e=Oe(e),this.dataFormat==="channelsLast"){let n=qf(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return qf(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=qf(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return qf(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};wd.className="Cropping2D";J.registerClass(wd);var _d=class extends Me{constructor(e){super(e);this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Ft(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,YM(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return V(()=>{let n=Oe(e),o=n.shape;if(this.dataFormat==="channelsFirst"){n=We(n,[0,2,3,1]);let s=this.size[0]*o[2],a=this.size[1]*o[3],i=this.interpolation==="nearest"?n.resizeNearestNeighbor([s,a]):n.resizeBilinear([s,a]);return We(i,[0,3,1,2])}else{let s=this.size[0]*o[1],a=this.size[1]*o[2];return this.interpolation==="nearest"?n.resizeNearestNeighbor([s,a]):n.resizeBilinear([s,a])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};_d.className="UpSampling2D";J.registerClass(_d);function SQ(r,e,t=[1,1],n="valid",o,s){return V(()=>{o==null&&(o=Kr()),Ft(o);let a=xd(r,o);if(r.rank!==4)throw new B(`Input for depthwiseConv2d is required to be 4-D, but is instead ${r.rank}-D`);if(e.rank!==4)throw new B(`depthwiseKernel is required to be 4-D, but is instead ${e.rank}-D`);return a=Cs(a,e,t,n==="same"?"same":"valid","NHWC",s),o==="channelsFirst"&&(a=We(a,[0,3,1,2])),a})}var kd=class extends Wp{constructor(e){super(2,e);this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=dt(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Lt(e.depthwiseConstraint),this.depthwiseRegularizer=_t(e.depthwiseRegularizer)}build(e){if(e=et(e),e.length<4)throw new B(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new B(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],o=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return V(()=>{e=Oe(e);let n=SQ(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=on(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=et(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],o=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,s=un(t,this.kernelSize[0],this.padding,this.strides[0]),a=un(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],o,s,a]:[e[0],s,a,o]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Nt(this.depthwiseInitializer),e.depthwiseRegularizer=lt(this.depthwiseRegularizer),e.depthwiseConstraint=Mt(this.depthwiseRegularizer),e}};kd.className="DepthwiseConv2D";J.registerClass(kd);function sC(r,e,t,n){if(Array.isArray(r)){if(e!=null||t!=null)throw new B("When inputs is an array, neither initialState or constants should be provided");n!=null&&(t=r.slice(r.length-n,r.length),r=r.slice(0,r.length-n)),r.length>1&&(e=r.slice(1,r.length)),r=r[0]}function o(s){return s==null||Array.isArray(s)?s:[s]}return e=o(e),t=o(t),{inputs:r,initialState:e,constants:t}}function iC(r,e,t,n=!1,o,s,a=!1,i=!1){return V(()=>{let l=e.shape.length;if(l<3)throw new B(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(Lr(2,l));if(e=We(e,u),s!=null)throw new Se("The rnn() functoin of the deeplearn.js backend does not support constants yet.");a&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),o!=null&&(o=o.asType("bool").asType("float32"),o.rank===l-1&&(o=ir(o,-1)),o=We(o,u)),n&&(e=Kt(e,0),o!=null&&(o=Kt(o,0)));let c=[],p,m=t,f=e.shape[0],d=cr(e),h;o!=null&&(h=cr(o));for(let x=0;x<f;++x){let b=d[x],w=V(()=>r(b,m));if(o==null)p=w[0],m=w[1];else{let _=V(()=>{let k=h[x],E=tr(k).sub(k),S=w[0].mul(k).add(m[0].mul(E)),R=m.map((F,P)=>w[1][P].mul(k).add(F.mul(E)));return{output:S,newStates:R}});p=_.output,m=_.newStates}i&&c.push(p)}let g;return i&&(g=Vt(c,1)),[p,g,m]})}var cn=class extends Me{constructor(e){super(e);let t;if(e.cell==null)throw new B("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new Up({cells:e.cell}):t=e.cell,t.stateSize==null)throw new B("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new At({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Lr(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){Cx(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],o;if(this.returnSequences?o=[e[0],e[1],n]:o=[e[0],n],this.returnState){let s=[];for(let a of t)s.push([e[0],a]);return[o].concat(s)}else return o}computeMask(e,t){return V(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let o=this.states.map(s=>null);return[n].concat(o)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;n<e;++n)t.push(null);return t}else return this.states_}set states(e){this.states_=e}build(e){let t=null;if(this.numConstants!=null)throw new Se("Constants support is not implemented in RNN yet.");Cx(e)&&(e=e[0]),e=e;let n=this.stateful?e[0]:null,o=e.slice(2);this.inputSpec[0]=new At({shape:[n,null,...o]});let s=[e[0]].concat(e.slice(2));if(t!=null)throw new Se("Constants support is not implemented in RNN yet.");this.cell.build(s);let a;if(Array.isArray(this.cell.stateSize)?a=this.cell.stateSize:a=[this.cell.stateSize],this.stateSpec!=null){if(!y.arraysEqual(this.stateSpec.map(i=>i.shape[i.shape.length-1]),a))throw new B(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=a.map(i=>new At({shape:[null,i]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){V(()=>{if(!this.stateful)throw new Cn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new B("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>xt([n,o])):this.states_=[xt([n,this.cell.stateSize])];else if(e==null)Ee(this.states_),this.keptStates!=null&&(Ee(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>xt([n,o])):this.states_[0]=xt([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new B(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):Ee(this.states_);for(let o=0;o<this.states_.length;++o){let s=e[o],a=Array.isArray(this.cell.stateSize)?this.cell.stateSize[o]:this.cell.stateSize,i=[n,a];if(!y.arraysEqual(s.shape,i))throw new B(`State ${o} is incompatible with layer ${this.name}: expected shape=${i}, received shape=${s.shape}`);this.states_[o]=s}}this.states_=this.states_.map(o=>Dt(o.clone()))})}apply(e,t){let n=t==null?null:t.initialState,o=t==null?null:t.constants;t==null&&(t={});let s=sC(e,n,o,this.numConstants);e=s.inputs,n=s.initialState,o=s.constants;let a=[],i=[];if(n!=null){t.initialState=n,a=a.concat(n),this.stateSpec=[];for(let u of n)this.stateSpec.push(new At({shape:u.shape}));i=i.concat(this.stateSpec)}if(o!=null&&(t.constants=o,a=a.concat(o),this.numConstants=o.length),a[0]instanceof Br){let u=[e].concat(a),c=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=c;let m=super.apply(u,t);return this.inputSpec=p,m}else return super.apply(e,t)}call(e,t){return V(()=>{let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;e=Oe(e),s==null&&(this.stateful?s=this.states_:s=this.getInitialState(e));let a=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(s.length!==a)throw new B(`RNN Layer has ${a} state(s) but was passed ${s.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:o},u=iC((d,h)=>{let g=this.cell.call([d].concat(h),i);return[g[0],g.slice(1)]},e,s,this.goBackwards,n,null,this.unroll,this.returnSequences),c=u[0],p=u[1],m=u[2];this.stateful&&this.resetStates(m,o);let f=this.returnSequences?p:c;return this.returnState?[f].concat(m):f})}getInitialState(e){return V(()=>{let t=xt(e.shape);return t=ye(t,[1,2]),t=Wa(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?bx(t,[1,n]):t):this.cell.stateSize>1?[bx(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===cn.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign({},n,e,t)}static fromConfig(e,t,n={}){let o=t.cell,s=Yr(o,n);return new e(Object.assign(t,{cell:s}))}};cn.className="RNN";J.registerClass(cn);var Tl=class extends Me{},qp=class extends Tl{constructor(e){super(e);this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,qt(this.units,"units"),this.activation=Bs(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=dt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=dt(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=dt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=_t(e.kernelRegularizer),this.recurrentRegularizer=_t(e.recurrentRegularizer),this.biasRegularizer=_t(e.biasRegularizer),this.kernelConstraint=Lt(e.kernelConstraint),this.recurrentConstraint=Lt(e.recurrentConstraint),this.biasConstraint=Lt(e.biasConstraint),this.dropout=sc([1,Ms([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=sc([1,Ms([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=et(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return V(()=>{if(e=e,e.length!==2)throw new B(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let o=t.training==null?!1:t.training;0<this.dropout&&this.dropout<1&&this.dropoutMask==null&&(this.dropoutMask=qa({ones:()=>tr(e),rate:this.dropout,training:o})),0<this.recurrentDropout&&this.recurrentDropout<1&&this.recurrentDropoutMask==null&&(this.recurrentDropoutMask=qa({ones:()=>tr(n),rate:this.recurrentDropout,training:o}));let s,a=this.dropoutMask,i=this.recurrentDropoutMask;a!=null?s=Qo(M(e,a),this.kernel.read()):s=Qo(e,this.kernel.read()),this.bias!=null&&(s=on(s,this.bias.read())),i!=null&&(n=M(n,i));let l=Q(s,Qo(n,this.recurrentKernel.read()));return this.activation!=null&&(l=this.activation.apply(l)),[l,l]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:zs(this.activation),useBias:this.useBias,kernelInitializer:Nt(this.kernelInitializer),recurrentInitializer:Nt(this.recurrentInitializer),biasInitializer:Nt(this.biasInitializer),kernelRegularizer:lt(this.kernelRegularizer),recurrentRegularizer:lt(this.recurrentRegularizer),biasRegularizer:lt(this.biasRegularizer),activityRegularizer:lt(this.activityRegularizer),kernelConstraint:Mt(this.kernelConstraint),recurrentConstraint:Mt(this.recurrentConstraint),biasConstraint:Mt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},e,t)}};qp.className="SimpleRNNCell";J.registerClass(qp);var vd=class extends cn{constructor(e){e.cell=new qp(e),super(e)}call(e,t){return V(()=>{this.cell.dropoutMask!=null&&(Ee(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Ee(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;return super.call(e,{mask:n,training:o,initialState:s})})}static fromConfig(e,t){return new e(t)}};vd.className="SimpleRNN";J.registerClass(vd);var Hp=class extends Tl{constructor(e){super(e);if(this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new B("GRUCell does not support reset_after parameter set to true.");this.units=e.units,qt(this.units,"units"),this.activation=Bs(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=Bs(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=dt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=dt(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=dt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=_t(e.kernelRegularizer),this.recurrentRegularizer=_t(e.recurrentRegularizer),this.biasRegularizer=_t(e.biasRegularizer),this.kernelConstraint=Lt(e.kernelConstraint),this.recurrentConstraint=Lt(e.recurrentConstraint),this.biasConstraint=Lt(e.biasConstraint),this.dropout=sc([1,Ms([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=sc([1,Ms([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=et(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return V(()=>{if(e=e,e.length!==2)throw new B(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,o=e[1];e=e[0],0<this.dropout&&this.dropout<1&&this.dropoutMask==null&&(this.dropoutMask=qa({ones:()=>tr(e),rate:this.dropout,training:n,count:3})),0<this.recurrentDropout&&this.recurrentDropout<1&&this.recurrentDropoutMask==null&&(this.recurrentDropoutMask=qa({ones:()=>tr(o),rate:this.recurrentDropout,training:n,count:3}));let s=this.dropoutMask,a=this.recurrentDropoutMask,i,l,u;0<this.dropout&&this.dropout<1&&(e=M(e,s[0]));let c=Qo(e,this.kernel.read());this.useBias&&(c=on(c,this.bias.read())),0<this.recurrentDropout&&this.recurrentDropout<1&&(o=M(o,a[0]));let p=this.recurrentKernel.read(),[m,f]=ur(p,[2*this.units,this.units],p.rank-1),d=Qo(o,m),[h,g,x]=ur(c,3,c.rank-1),[b,w]=ur(d,2,d.rank-1);i=this.recurrentActivation.apply(Q(h,b)),l=this.recurrentActivation.apply(Q(g,w));let _=Qo(M(l,o),f);u=this.activation.apply(Q(x,_));let k=Q(M(i,o),M(Q(1,Ue(i)),u));return[k,k]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:zs(this.activation),recurrentActivation:zs(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Nt(this.kernelInitializer),recurrentInitializer:Nt(this.recurrentInitializer),biasInitializer:Nt(this.biasInitializer),kernelRegularizer:lt(this.kernelRegularizer),recurrentRegularizer:lt(this.recurrentRegularizer),biasRegularizer:lt(this.biasRegularizer),activityRegularizer:lt(this.activityRegularizer),kernelConstraint:Mt(this.kernelConstraint),recurrentConstraint:Mt(this.recurrentConstraint),biasConstraint:Mt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign({},e,t)}};Hp.className="GRUCell";J.registerClass(Hp);var Cd=class extends cn{constructor(e){e.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new Hp(e),super(e)}call(e,t){return V(()=>{this.cell.dropoutMask!=null&&(Ee(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Ee(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;return super.call(e,{mask:n,training:o,initialState:s})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Cd.className="GRU";J.registerClass(Cd);var El=class extends Tl{constructor(e){super(e);this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,qt(this.units,"units"),this.activation=Bs(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=Bs(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=dt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=dt(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=dt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=_t(e.kernelRegularizer),this.recurrentRegularizer=_t(e.recurrentRegularizer),this.biasRegularizer=_t(e.biasRegularizer),this.kernelConstraint=Lt(e.kernelConstraint),this.recurrentConstraint=Lt(e.recurrentConstraint),this.biasConstraint=Lt(e.biasConstraint),this.dropout=sc([1,Ms([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=sc([1,Ms([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=et(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){let s=this.biasInitializer,a=this.units;o=new(t=class extends sn{apply(l,u){let c=s.apply([a]),p=new ac().apply([a]),m=s.apply([a*2]);return A0(A0(c,p),m)}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return V(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new B(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let o=e[1],s=e[2];e=e[0],0<this.dropout&&this.dropout<1&&this.dropoutMask==null&&(this.dropoutMask=qa({ones:()=>tr(e),rate:this.dropout,training:n,count:4})),0<this.recurrentDropout&&this.recurrentDropout<1&&this.recurrentDropoutMask==null&&(this.recurrentDropoutMask=qa({ones:()=>tr(o),rate:this.recurrentDropout,training:n,count:4}));let a=this.dropoutMask,i=this.recurrentDropoutMask,l,u,c,p;0<this.dropout&&this.dropout<1&&(e=M(e,a[0]));let m=Qo(e,this.kernel.read());0<this.recurrentDropout&&this.recurrentDropout<1&&(o=M(o,i[0])),m=Q(m,Qo(o,this.recurrentKernel.read())),this.useBias&&(m=on(m,this.bias.read()));let[f,d,h,g]=ur(m,4,m.rank-1);l=this.recurrentActivation.apply(f),u=this.recurrentActivation.apply(d),c=Q(M(u,s),M(l,this.activation.apply(h))),p=this.recurrentActivation.apply(g);let x=M(p,this.activation.apply(c));return[x,x,c]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:zs(this.activation),recurrentActivation:zs(this.recurrentActivation),useBias:this.useBias,kernelInitializer:Nt(this.kernelInitializer),recurrentInitializer:Nt(this.recurrentInitializer),biasInitializer:Nt(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:lt(this.kernelRegularizer),recurrentRegularizer:lt(this.recurrentRegularizer),biasRegularizer:lt(this.biasRegularizer),activityRegularizer:lt(this.activityRegularizer),kernelConstraint:Mt(this.kernelConstraint),recurrentConstraint:Mt(this.recurrentConstraint),biasConstraint:Mt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign({},e,t)}};El.className="LSTMCell";J.registerClass(El);var Id=class extends cn{constructor(e){e.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new El(e),super(e)}call(e,t){return V(()=>{this.cell.dropoutMask!=null&&(Ee(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Ee(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;return super.call(e,{mask:n,training:o,initialState:s})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Id.className="LSTM";J.registerClass(Id);var Up=class extends Tl{constructor(e){super(e);this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return V(()=>{e=e;let n=e.slice(1),o=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?o.push(n.splice(0,i.stateSize.length)):o.push(n.splice(0,1));o.reverse();let s=[],a;for(let i=0;i<this.cells.length;++i){let l=this.cells[i];n=o[i],i===0?a=[e[0]].concat(n):a=[a[0]].concat(n),a=l.call(a,t),s.push(a.slice(1))}n=[];for(let i of s.slice().reverse())n.push(...i);return[a[0]].concat(n)})}build(e){Cx(e)&&(e=e[0]),e=e;let t;this.cells.forEach((n,o)=>{Ps(`RNNCell_${o}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=s=>({className:s.getClassName(),config:s.getConfig()}),o={cells:this.cells.map(t)};return Object.assign({},e,o)}static fromConfig(e,t,n={}){let o=[];for(let s of t.cells)o.push(Yr(s,n));return new e({cells:o})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return td(e)}setWeights(e){let t=[];for(let n of this.cells){let o=n.weights.length,s=e.splice(o);for(let a=0;a<n.weights.length;++a)t.push([n.weights[a],s[a]])}Lp(t)}};Up.className="StackedRNNCells";J.registerClass(Up);function qa(r){let{ones:e,rate:t,training:n=!1,count:o=1}=r,s=()=>_x(e(),t),a=()=>wl(s,e,n);return!o||o<=1?Dt(a().clone()):Array(o).fill(void 0).map(a).map(l=>Dt(l.clone()))}var TQ=function(r,e){var t={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&e.indexOf(n)<0&&(t[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols=="function")for(var o=0,n=Object.getOwnPropertySymbols(r);o<n.length;o++)e.indexOf(n[o])<0&&Object.prototype.propertyIsEnumerable.call(r,n[o])&&(t[n[o]]=r[n[o]]);return t};var aC=class extends cn{constructor(e){if(e.unroll)throw new Se("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new Se("It is not possible at the moment to stack convolutional cells.");super(e);this.inputSpec=[new At({ndim:5})]}call(e,t){return V(()=>{if(this.cell.dropoutMask!=null&&(Ee(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Ee(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new B("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;return super.call(e,{mask:n,training:o,initialState:s})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return V(()=>{let{stateSize:t}=this.cell,n=e.shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)],a=xt(s);return Array.isArray(t)?Array(t.length).fill(a):[a]})}resetStates(e,t=!1){V(()=>{if(!this.stateful)throw new Cn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)];if(n[0]==null)throw new B("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>xt(s)):this.states_=[xt(s)];else if(e==null)Ee(this.states_),this.keptStates!=null&&(Ee(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>xt(s)):this.states_[0]=xt(s);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new B(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):Ee(this.states_);for(let i=0;i<this.states_.length;++i){let l=e[i],u=s;if(!y.arraysEqual(l.shape,u))throw new B(`State ${i} is incompatible with layer ${this.name}: expected shape=${u}, received shape=${l.shape}`);this.states_[i]=l}}this.states_=this.states_.map(i=>Dt(i.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:o,padding:s,strides:a,dilationRate:i}=this.cell,l=t==="channelsFirst",u=e[l?3:2],c=e[l?4:3],p=un(u,o[0],s,a[0],i[0]),m=un(c,o[1],s,a[1],i[1]);return[...e.slice(0,2),...l?[n,p,m]:[p,m,n]]}};aC.className="ConvRNN2D";var Kp=class extends El{constructor(e){let{filters:t,kernelSize:n,strides:o,padding:s,dataFormat:a,dilationRate:i}=e;super(Object.assign({},e,{units:t}));this.filters=t,qt(this.filters,"filters"),this.kernelSize=Nl(n,2,"kernelSize"),this.kernelSize.forEach(l=>qt(l,"kernelSize")),this.strides=Nl(o||1,2,"strides"),this.strides.forEach(l=>qt(l,"strides")),this.padding=s||"valid",Xr(this.padding),this.dataFormat=a||"channelsLast",Ft(this.dataFormat),this.dilationRate=Nl(i||1,2,"dilationRate"),this.dilationRate.forEach(l=>qt(l,"dilationRate"))}build(e){var t;e=et(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new B(`The channel dimension of the input should be defined. Found ${e[n]}`);let o=e[n],s=4,a=this.kernelSize.concat([o,this.filters*s]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let l;if(this.unitForgetBias){let u=this.biasInitializer,c=this.filters;l=new(t=class extends sn{apply(m,f){let d=u.apply([c]),h=Ir([c]),g=u.apply([c*2]);return Tp([d,h,g])}},t.className="CustomInit",t)}else l=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*s],null,l,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return V(()=>{if(e.length!==3)throw new B(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,o=e[0],s=e[1],a=e[2],i=4;0<this.dropout&&this.dropout<1&&this.dropoutMask==null&&(this.dropoutMask=qa({ones:()=>tr(o),rate:this.dropout,training:n,count:i}));let l=this.dropoutMask,u=(ie,se,pe)=>!se||!se[pe]?ie:M(se[pe],ie),c=u(o,l,0),p=u(o,l,1),m=u(o,l,2),f=u(o,l,3);0<this.recurrentDropout&&this.recurrentDropout<1&&this.recurrentDropoutMask==null&&(this.recurrentDropoutMask=qa({ones:()=>tr(s),rate:this.recurrentDropout,training:n,count:i}));let d=this.recurrentDropoutMask,h=u(s,d,0),g=u(s,d,1),x=u(s,d,2),b=u(s,d,3),w=3,[_,k,E,S]=ur(this.kernel.read(),i,w),[R,F,P,j]=this.useBias?ur(this.bias.read(),i):[null,null,null,null];c=this.inputConv(c,_,R,this.padding),p=this.inputConv(p,k,F,this.padding),m=this.inputConv(m,E,P,this.padding),f=this.inputConv(f,S,j,this.padding);let[G,U,X,K]=ur(this.recurrentKernel.read(),i,w);h=this.recurrentConv(h,G),g=this.recurrentConv(g,U),x=this.recurrentConv(x,X),b=this.recurrentConv(b,K);let Z=this.recurrentActivation.apply(Q(c,h)),te=this.recurrentActivation.apply(Q(p,g)),Y=Q(M(te,a),M(Z,this.activation.apply(Q(m,x)))),re=M(this.recurrentActivation.apply(Q(f,b)),this.activation.apply(Y));return[re,re,Y]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=TQ(e,["units"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,o)}inputConv(e,t,n,o){let s=Ur(e,t,this.strides,o||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?on(s,n,this.dataFormat):s}recurrentConv(e,t){return Ur(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Kp.className="ConvLSTM2DCell";J.registerClass(Kp);var Nd=class extends aC{constructor(e){let t=new Kp(e);super(Object.assign({},e,{cell:t}))}static fromConfig(e,t){return new e(t)}};Nd.className="ConvLSTM2D";J.registerClass(Nd);var Xp=class extends Me{constructor(e){super(e);this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let o=0;o<this.noiseShape.length;++o)n.push(this.noiseShape[o]==null?t[o]:this.noiseShape[o]);return n}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e);if(0<this.rate&&this.rate<1){let o=t.training==null?!1:t.training,s=this.getNoiseShape(n);return wl(()=>_x(n,this.rate,s,this.seed),()=>n,o)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};Xp.className="Dropout";J.registerClass(Xp);var Sd=class extends Xp{constructor(e){super(e);this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Sd.className="SpatialDropout1D";J.registerClass(Sd);var Td=class extends Me{constructor(e){super(e);if(this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,qt(this.units,"units"),this.activation=Bs(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=dt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=dt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Lt(e.kernelConstraint),this.biasConstraint=Lt(e.biasConstraint),this.kernelRegularizer=_t(e.kernelRegularizer),this.biasRegularizer=_t(e.biasRegularizer),this.activityRegularizer=_t(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=et(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=et(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e),o=gx(this.activation.getClassName()),s;return o!=null?s=Qo(n,this.kernel.read(),o,this.bias?this.bias.read():null):(s=Qo(n,this.kernel.read()),this.bias!=null&&(s=on(s,this.bias.read())),this.activation!=null&&(s=this.activation.apply(s))),s})}getConfig(){let e={units:this.units,activation:zs(this.activation),useBias:this.useBias,kernelInitializer:Nt(this.kernelInitializer),biasInitializer:Nt(this.biasInitializer),kernelRegularizer:lt(this.kernelRegularizer),biasRegularizer:lt(this.biasRegularizer),activityRegularizer:lt(this.activityRegularizer),kernelConstraint:Mt(this.kernelConstraint),biasConstraint:Mt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Td.className="Dense";J.registerClass(Td);var Ed=class extends Me{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=et(e);for(let t of e.slice(1))if(t==null)throw new B(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[e[0],Jo(e,1)]}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e);if(this.dataFormat==="channelsFirst"&&n.rank>1){let o=[0];for(let s=2;s<n.rank;++s)o.push(s);o.push(1),n=n.transpose(o)}return nL(n)})}getConfig(){let e={};this.dataFormat!=null&&(e.dataFormat=this.dataFormat);let t=super.getConfig();return Object.assign(e,t),e}};Ed.className="Flatten";J.registerClass(Ed);var Ad=class extends Me{constructor(e){super(e);this.supportsMasking=!0,this.activation=Bs(e.activation)}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e);return this.activation.apply(n)})}getConfig(){let e={activation:zs(this.activation)},t=super.getConfig();return Object.assign(e,t),e}};Ad.className="Activation";J.registerClass(Ad);var Dd=class extends Me{constructor(e){super(e);this.n=e.n,this.inputSpec=[{ndim:2}]}computeOutputShape(e){return[e[0],this.n,e[1]]}call(e,t){return V(()=>(e=Oe(e),tL(e,this.n)))}getConfig(){let e={n:this.n},t=super.getConfig();return Object.assign(e,t),e}};Dd.className="RepeatVector";J.registerClass(Dd);var $d=class extends Me{constructor(e){super(e);this.targetShape=e.targetShape;for(let t=0;t<this.targetShape.length;++t)this.isUnknown(this.targetShape[t])&&(this.targetShape[t]=null)}isUnknown(e){return e<0||e==null}fixUnknownDimension(e,t){let n="Total size of new array must be unchanged.",o=t.slice(),s=1,a=null;for(let l=0;l<o.length;++l){let u=o[l];if(this.isUnknown(u))if(a===null)a=l;else throw new B("Can only specifiy one unknown dimension.");else s*=u}let i=Jo(e);if(a!==null){if(s===0||i%s!=0)throw new B(n);o[a]=i/s}else if(i!==s)throw new B(n);return o}computeOutputShape(e){let t=!1;for(let n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e),o=n.shape,s=o.slice(0,1).concat(this.fixUnknownDimension(o.slice(1),this.targetShape));return n.reshape(s)})}getConfig(){let e={targetShape:this.targetShape},t=super.getConfig();return Object.assign(e,t),e}};$d.className="Reshape";J.registerClass($d);var Rd=class extends Me{constructor(e){super(e);if(e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${e.dims} instead.`);let t=Lr(1,e.dims.length+1);if(!y.arraysEqual(e.dims.slice().sort(),t))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=e.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new At({ndim:this.dims.length+1})]}computeOutputShape(e){e=et(e);let t=e.slice();return this.dims.forEach((n,o)=>{t[o+1]=e[n]}),t}call(e,t){return We(Oe(e),this.dimsIncludingBatch)}getConfig(){let e={dims:this.dims},t=super.getConfig();return Object.assign(e,t),e}};Rd.className="Permute";J.registerClass(Rd);var Fd=class extends Me{constructor(e){super(e==null?{}:e);this.supportsMasking=!0,e!=null?this.maskValue=e.maskValue==null?0:e.maskValue:this.maskValue=0}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={maskValue:this.maskValue};return Object.assign(t,e),t}computeMask(e,t){let n=Oe(e),o=-1;return il(Lo(n,this.maskValue),o)}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e),o=-1,s=!0,a=il(Lo(n,this.maskValue),o,s);return n.mul(a.asType(n.dtype))})}};Fd.className="Masking";J.registerClass(Fd);var Od=class extends Me{constructor(e){super(e);if(this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){let t=null;e.batchSize!=null&&(t=e.batchSize),e.inputLength==null?this.batchInputShape=[t,null]:this.batchInputShape=[t].concat(wt(e.inputLength))}this.inputDim=e.inputDim,qt(this.inputDim,"inputDim"),this.outputDim=e.outputDim,qt(this.outputDim,"outputDim"),this.embeddingsInitializer=dt(e.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=_t(e.embeddingsRegularizer),this.activityRegularizer=_t(e.activityRegularizer),this.embeddingsConstraint=Lt(e.embeddingsConstraint),this.maskZero=e.maskZero,this.supportsMasking=e.maskZero,this.inputLength=e.inputLength}build(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(e){}computeMask(e,t){return V(()=>this.maskZero?(e=Oe(e),Lo(e,Ie(e))):null)}computeOutputShape(e){if(e=et(e),this.inputLength==null)return[...e,this.outputDim];let t=wt(this.inputLength);if(t.length!==e.length-1)throw new B(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);{let n=0;for(let o=0;o<t.length;++o){let s=t[o],a=e[o+1];if(s!=null&&a!=null&&s!==a)throw new B(`"inputLength" is ${this.inputLength}, but received input shape has shape ${e}`);s==null&&(t[n]=a),n++}}return[e[0],...t,this.outputDim]}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e);return n.dtype!=="int32"&&(n=ja(n,"int32")),wx(this.embeddings.read(),n.as1D()).reshape(et(this.computeOutputShape(n.shape)))})}getConfig(){let e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Nt(this.embeddingsInitializer),embeddingsRegularizer:lt(this.embeddingsRegularizer),activityRegularizer:lt(this.activityRegularizer),embeddingsConstraint:Mt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=super.getConfig();return Object.assign(e,t),e}};Od.className="Embedding";J.registerClass(Od);var Al=class extends Me{constructor(e){super(e||{});this.supportsMasking=!0}mergeFunction(e){throw new Se}computeElementwiseOpOutputShape(e,t){if(e==null||t==null)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(t.length===0)return e;let n=e.slice(0,e.length-t.length);for(let o=0;o<t.length;++o){let s=e[e.length-t.length+o],a=t[o];if(s==null||a==null||s<0||a<0)n.push(null);else if(s===1)n.push(a);else if(a===1)n.push(s);else{if(s!==a)throw new B("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(s)}}return n}build(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[et(e)]),e=e,e.length<2)throw new B(`A merge layer should be called on an Array of at least 2 inputs. Got ${e.length} input(s).`);let t=[];for(let s of e)s!=null&&s[0]!==null&&t.push(s[0]);if(t=Zo(t),t.length>1)throw new B(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(e)}.`);let n=e[0]==null?null:e[0].slice(1);for(let s=1;s<e.length;++s){let a=e[s]==null?null:e[s].slice(1);n=this.computeElementwiseOpOutputShape(n,a)}let o=e.map(s=>s.length);e.indexOf(null)===-1&&Zo(o).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(e,t){return V(()=>{if(e=e,this.reshapeRequired){let n=[],o=e.map(s=>s.rank);if(o.indexOf(null)===-1){let s=Ms(o);for(let a of e){let i=a.rank;for(let l=0;l<s-i;++l)a=Wa(a,1);n.push(a)}return this.mergeFunction(n)}else{let s=!1;for(let l of e){let u=l.rank;if(u==null){let c=l.shape,p=c[0],m=c.slice(1).concat([p]),f=l.reshape([p].concat(Jo(c.slice(1))));f=We(f,[1,0]),f=f.reshape(m),n.push(f),s=!0}else if(u>1){let c=Lr(1,u).concat([0]);n.push(We(l,c)),s=!0}else n.push(l)}let a=this.mergeFunction(n),i=a.rank;if(s){if(i==null){let l=a.shape,u=l.length,c=l[u-1],p=[c].concat(l.slice(0,l.length-1));a=We(a.reshape([-1,c]),[1,0]).reshape(p)}else if(i>1){let l=[i-1].concat(Lr(0,i-1));a=We(a,l)}}return a}}else return this.mergeFunction(e)})}computeOutputShape(e){e=e;let t;e[0]==null?t=null:t=e[0].slice(1);for(let o=1;o<e.length;++o){let s=e[o]==null?null:e[o].slice(1);t=this.computeElementwiseOpOutputShape(t,s)}let n=[];for(let o of e)o!=null&&o[0]!==null&&n.push(o[0]);return n=Zo(n),n.length===1?t=n.concat(t):t=[null].concat(t),t}computeMask(e,t){return V(()=>{if(t==null)return null;if(!Array.isArray(t))throw new B("`mask` should be an Array");if(!Array.isArray(e))throw new B("`inputs` should be an Array");if(t.length!==e.length)throw new B(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${e.length} vs ${t.length})`);if(t.every(o=>o==null))return null;t=t.map(o=>o==null?o:ir(o,0));let n=t[0];for(let o=1;o<t.length-1;++o)n=dr(n,t[o]);return n})}},Pd=class extends Al{constructor(e){super(e)}mergeFunction(e){return V(()=>{let t=e[0].clone();for(let n=1;n<e.length;++n)t=Q(t,e[n]);return t})}};Pd.className="Add";J.registerClass(Pd);var Md=class extends Al{constructor(e){super(e)}mergeFunction(e){return V(()=>{let t=e[0].clone();for(let n=1;n<e.length;++n)t=M(t,e[n]);return t})}};Md.className="Multiply";J.registerClass(Md);var Ld=class extends Al{constructor(e){super(e)}mergeFunction(e){return V(()=>{let t=e[0].clone();for(let n=1;n<e.length;++n)t=Q(t,e[n]);return M(1/e.length,t)})}};Ld.className="Average";J.registerClass(Ld);var zd=class extends Al{constructor(e){super(e)}mergeFunction(e){return V(()=>{let t=e[0];for(let n=1;n<e.length;++n)t=Hr(t,e[n]);return t})}};zd.className="Maximum";J.registerClass(zd);var Bd=class extends Al{constructor(e){super(e)}mergeFunction(e){return V(()=>{let t=e[0];for(let n=1;n<e.length;++n)t=Ts(t,e[n]);return t})}};Bd.className="Minimum";J.registerClass(Bd);var Vd=class extends Al{constructor(e){super(e);this.DEFAULT_AXIS=-1,e==null&&(e={}),this.axis=e.axis==null?this.DEFAULT_AXIS:e.axis,this.supportsMasking=!0,this.reshapeRequired=!1}build(e){if(!(Array.isArray(e)&&Array.isArray(e[0]))||e.length===1)throw new B("A `Concatenate` layer should be called on a list of at least 2 inputs");e=e;let t=!0;for(let o of e)if(o!=null){t=!1;break}if(t)return;let n=[];for(let o=0;o<e.length;++o){let s=e[o].slice();s.splice(this.axis,1);let a=!1;for(let i of n)if(y.arraysEqual(i,s)){a=!0;break}a||n.push(s)}if(n.length>1)throw new B("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}mergeFunction(e){return V(()=>Tp(e,this.axis))}computeOutputShape(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new B("A `Concatenate` layer should be called on a list of inputs.");let t=e,n=t[0].slice(),o=this.axis<0?n.length+this.axis:this.axis;for(let s of t.slice(1)){if(n[o]==null||s[o]==null){n[o]=null;break}n[o]+=s[o]}return n}computeMask(e,t){if(t==null)return null;if(!Array.isArray(t))throw new B("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new B("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new B(`Mismatch in the length of mask (${t.length}) and the legnth of inputs (${e.length})`);return V(()=>{let n=!0;if(t.forEach(a=>{if(a!=null){n=!1;return}}),n)return null;let o=[];for(let a=0;a<e.length;++a)t[a]==null?o.push(tr(e[a]).asType("bool")):t[a].rank<e[a].rank?o.push(ir(t[a],-1)):o.push(t[a]);let s=Qe(o,this.axis);return wu(s,-1,!1)})}getConfig(){let e={axis:this.axis},t=super.getConfig();return Object.assign(e,t),e}};Vd.className="Concatenate";J.registerClass(Vd);function Gd(r,e){for(;r<0;)r+=e;return r}function EQ(r,e,t){if(r.shape.length>3||e.shape.length>3)throw new Se("batchDot is not implemented for tensors of 4D or higher rank yet");if(y.assert(r.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${r.shape.length}`),y.assert(r.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${e.shape.length}`),typeof t=="number"&&(t=[t,t]),r.dtype==="complex64"||e.dtype==="complex64")throw new Se("batchDot is not implemented for complex64-type Tensors yet.");let n=r.shape.length,o=e.shape.length;t==null&&(t=[n-1,o-2]);let s=t;return V(()=>{let a;if(n>o){a=n-o;let l=[];for(let u=0;u<a;++u)l.push(1);e=e.reshape(e.shape.concat(l))}else if(o>n){a=o-n;let l=[];for(let u=0;u<a;++u)l.push(1);r=r.reshape(r.shape.concat(l))}else a=0;let i;if(r.shape.length===2&&e.shape.length===2)s[0]===s[1]?i=r.mul(e).sum(s[0]):i=r.transpose([1,0]).mul(e).sum(s[1]);else{let l=s[0]!==r.shape.length-1,u=s[1]===e.shape.length-1;i=r.matMul(e,l,u)}if(a>0){let l;n>o?l=n+o-3:l=n-1;let u=[];for(let c=l;c<l+a;++c)u.push(c);i=i.squeeze(u)}return i.shape.length===1&&(i=i.expandDims(1)),i})}var jd=class extends Al{constructor(e){super(e);this.axes=e.axes,this.normalize=e.normalize==null?!1:e.normalize,this.supportsMasking=!0,this.reshapeRequired=!1}build(e){y.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Se("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(t,n);if(t[o[0]]!==n[o[1]])throw new B(`Dimension incompatibility: ${t[o[0]]} !== ${n[o[1]]}`)}mergeFunction(e){if(e.length!==2)throw new B(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],o;return Array.isArray(this.axes)?o=this.axes.map((s,a)=>Gd(s,e[a].shape.length)):o=[Gd(this.axes,t.shape.length),Gd(this.axes,n.shape.length)],this.normalize&&(t=rd(t,o[0]),n=rd(n,o[1])),EQ(t,n,o)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[Gd(this.axes,e.length),Gd(this.axes,t.length)],n}computeOutputShape(e){y.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Se("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(t,n);t.splice(o[0],1),n.splice(o[1],1),n.splice(0,1);let s=t.concat(n);return s.length===1&&s.push(1),s}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};jd.className="Dot";J.registerClass(jd);var Wd=class extends Me{constructor(e){super(e);this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e);return wl(()=>Ep(n.shape,0,this.stddev).add(n),()=>n,t.training||!1)})}};Wd.className="GaussianNoise";J.registerClass(Wd);var Ud=class extends Me{constructor(e){super(e);this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e);return this.rate>0&&this.rate<1?wl(()=>{let s=Math.sqrt(this.rate/(1-this.rate));return n.mul(Ep(n.shape,1,s))},()=>n,t.training||!1):n})}};Ud.className="GaussianDropout";J.registerClass(Ud);var qd=class extends Me{constructor(e){super(e);this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Oe(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return V(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return wl(()=>{let s=Oe(e),a=1.6732632423543772,i=1.0507009873554805,l=-a*i,u=tn(Es(n),this.rate);u=ja(u,"float32");let c=((1-this.rate)*(1+this.rate*l**2))**-.5,p=-c*l*this.rate;return s.mul(u).add(u.add(-1).mul(l)).mul(c).add(p)},()=>Oe(e),t.training||!1)}return e})}};qd.className="AlphaDropout";J.registerClass(qd);function Hd(r,e,t,n,o,s=.001){let a;if(r.rank===2)a=_w(r,e,t,n,o,s);else if(r.rank===3)a=kw(r,e,t,n,o,s);else if(r.rank===4)a=vw(r,e,t,n,o,s);else throw new Se(`batchNormalization is not implemented for array of rank ${r.rank} yet`);return a}function AQ(r,e,t,n,o=.001){return V(()=>{let s=Yc(r,n),a=s.mean,i=s.variance;return[Hd(r,a,i,t,e,o),a,i]})}function DQ(r,e,t,n,o=.001){return V(()=>{let s=Yc(r,n),a=s.mean,i=s.variance,l=[];for(let d of Lr(0,r.rank))n.indexOf(d)!==-1?l.push(1):l.push(r.shape[d]);let u=a.reshape(l),c=i.reshape(l),p=e==null?null:e.reshape(l),m=t==null?null:t.reshape(l);return[Hd(r,u,c,m,p,o),a,i]})}function $Q(r,e,t,n,o=.001){return y.arraysEqual(n.slice().sort(),Lr(0,r.rank-1))?AQ(r,e,t,n,o):DQ(r,e,t,n,o)}var Kd=class extends Me{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=dt(e.betaInitializer||"zeros"),this.gammaInitializer=dt(e.gammaInitializer||"ones"),this.movingMeanInitializer=dt(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=dt(e.movingVarianceInitializer||"ones"),this.betaConstraint=Lt(e.betaConstraint),this.gammaConstraint=Lt(e.gammaConstraint),this.betaRegularizer=_t(e.betaRegularizer),this.gammaRegularizer=_t(e.gammaRegularizer)}build(e){e=et(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new B(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new At({ndim:e.length,axes:{[t]:n}})];let o=[n];this.scale&&(this.gamma=this.addWeight("gamma",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return V(()=>{let n=t.training==null?!1:t.training,o=Oe(e),s=o.shape,a=s.length,i=Lr(0,a),l=this.axis>=0?this.axis:this.axis+a;i.splice(l,1);let u=Ko(1,a);u[l]=s[l];let c=i.slice();c.sort();let p=!y.arraysEqual(c,Lr(0,a).slice(0,a-1)),m=()=>{if(p){let b=this.movingMean.read().reshape(u),w=this.movingVariance.read().reshape(u),_=this.center?this.beta.read().reshape(u):null,k=this.scale?this.gamma.read().reshape(u):null;return Hd(o,b,w,_,k,this.epsilon)}else return Hd(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return m();let[f,d,h]=$Q(o,this.gamma.read(),this.beta.read(),i,this.epsilon),g=(b,w,_)=>{V(()=>{let k=1-_,E=b.read(),S=E.sub(w).mul(k);b.write(E.sub(S))})};return(()=>{g(this.movingMean,d,this.momentum),g(this.movingVariance,h,this.momentum)})(),f})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Nt(this.betaInitializer),gammaInitializer:Nt(this.gammaInitializer),movingMeanInitializer:Nt(this.movingMeanInitializer),movingVarianceInitializer:Nt(this.movingVarianceInitializer),betaRegularizer:lt(this.betaRegularizer),gammaRegularizer:lt(this.gammaRegularizer),betaConstraint:Mt(this.betaConstraint),gammaConstraint:Mt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Kd.className="BatchNormalization";J.registerClass(Kd);var Xd=class extends Me{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=dt(e.betaInitializer||"zeros"),this.gammaInitializer=dt(e.gammaInitializer||"ones"),this.betaRegularizer=_t(e.betaRegularizer),this.gammaRegularizer=_t(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=et(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let s=0;s<this.axis.length;++s)this.axis[s]<0&&(this.axis[s]+=t);for(let s of this.axis)if(s<0||s>=t)throw new Error(`Invalid axis: ${s}`);if(this.axis.length!==Zo(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(s=>e[s]),o=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(e,t){let n=Oe(e),o=n.shape,s=o.length;return V(()=>{let a=!0,{mean:i,variance:l}=Yc(n,this.axis,a),u=Ko(1,s);for(let h of this.axis)u[h]=o[h];let c=h=>h!=null&&h.shape.length!==s&&this.axis!==[s-1]?h.reshape(u):h,p=c(this.gamma.read()),m=c(this.beta.read()),f=[],d=[];for(let h=0;h<s;++h)this.axis.indexOf(h)!==-1?(f.push(o[h]),d.push(1)):(f.push(1),d.push(o[h]));return i=i.tile(f),l=l.tile(f),p=p.tile(d),m=m.tile(d),Hd(n,i,l,m,p,this.epsilon)})}getConfig(){let e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Nt(this.betaInitializer),gammaInitializer:Nt(this.gammaInitializer),betaRegularizer:lt(this.betaRegularizer),gammaRegularizer:lt(this.gammaRegularizer)},t=super.getConfig();return Object.assign(e,t),e}};Xd.className="LayerNormalization";J.registerClass(Xd);function RQ(r,e,t){return V(()=>{if(r.rank!==4)throw new B(`temporalPadding expects input tensor to be 4-D, but received a ${r.rank}-D tensor.`);if(e==null&&(e=[[1,1],[1,1]]),e.length!==2||e[0].length!==2||e[1].length!==2)throw new B("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(t==null&&(t=Kr()),t!=="channelsLast"&&t!=="channelsFirst")throw new B(`Unknown data format: ${t}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let n;return t==="channelsFirst"?n=[[0,0],[0,0],e[0],e[1]]:n=[[0,0],e[0],e[1],[0,0]],Rr(r,n)})}var Yd=class extends Me{constructor(e){if(e==null&&(e={}),super(e),this.dataFormat=e.dataFormat==null?Kr():e.dataFormat,e.padding==null)this.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")this.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new B(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${e.padding.length} array.`);let t,n;if(typeof e.padding[0]=="number")t=[e.padding[0],e.padding[0]],n=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new B(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${e.padding[0].length} array.`);if(t=e.padding[0],e.padding[1].length!==2)throw new B(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${e.padding[1].length} array.`);n=e.padding[1]}this.padding=[t,n]}this.inputSpec=[new At({ndim:4})]}computeOutputShape(e){e=et(e);let t,n;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?t=e[2]+this.padding[0][0]+this.padding[0][1]:t=null,e[3]!=null&&e[3]>=0?n=e[3]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],e[1],t,n]):(e[1]!=null&&e[1]>=0?t=e[1]+this.padding[0][0]+this.padding[0][1]:t=null,e[2]!=null&&e[2]>=0?n=e[2]+this.padding[1][0]+this.padding[1][1]:n=null,[e[0],t,n,e[3]])}call(e,t){return V(()=>RQ(Oe(e),this.padding,this.dataFormat))}getConfig(){let e={padding:this.padding,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};Yd.className="ZeroPadding2D";J.registerClass(Yd);function Wx(r,e,t,n,o,s){return V(()=>{Ft(o),T0(s),Xr(n),t==null&&(t=[1,1]),n==null&&(n="valid"),o==null&&(o=Kr()),s==null&&(s="max"),r=xd(r,o);let a,i=n==="same"?"same":"valid";return s==="max"?a=Ea(r,e,t,i):a=va(r,e,t,i),o==="channelsFirst"&&(a=We(a,[0,3,1,2])),a})}function WL(r,e,t,n,o,s){return V(()=>{Ft(o),T0(s),Xr(n),t==null&&(t=[1,1,1]),n==null&&(n="valid"),o==null&&(o=Kr()),s==null&&(s="max"),r=nC(r,o);let a,i=n==="same"?"same":"valid";return s==="max"?a=qm(r,e,t,i):a=Om(r,e,t,i),o==="channelsFirst"&&(a=We(a,[0,4,1,2,3])),a})}var lC=class extends Me{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new B(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(qt(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")this.strides=e.strides;else throw new B(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.strides)}`);qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,Xr(this.padding),this.inputSpec=[new At({ndim:3})]}computeOutputShape(e){e=et(e);let t=un(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}call(e,t){return V(()=>{this.invokeCallHook(e,t),e=Wa(Oe(e),2);let n=this.poolingFunction(Oe(e),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return _n(n,[2])})}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=super.getConfig();return Object.assign(e,t),e}},Zd=class extends lC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),Wx(e,t,n,o,s,"max")}};Zd.className="MaxPooling1D";J.registerClass(Zd);var Jd=class extends lC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),Wx(e,t,n,o,s,"avg")}};Jd.className="AveragePooling1D";J.registerClass(Jd);var uC=class extends Me{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new B(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];qt(this.poolSize,"poolSize"),qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Ft(this.dataFormat),Xr(this.padding),this.inputSpec=[new At({ndim:4})]}computeOutputShape(e){e=et(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=un(t,this.poolSize[0],this.padding,this.strides[0]),n=un(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return V(()=>(this.invokeCallHook(e,t),this.poolingFunction(Oe(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},Qd=class extends uC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),Wx(e,t,n,o,s,"max")}};Qd.className="MaxPooling2D";J.registerClass(Qd);var eh=class extends uC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),Wx(e,t,n,o,s,"avg")}};eh.className="AveragePooling2D";J.registerClass(eh);var cC=class extends Me{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new B(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];qt(this.poolSize,"poolSize"),qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Ft(this.dataFormat),Xr(this.padding),this.inputSpec=[new At({ndim:5})]}computeOutputShape(e){e=et(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],o=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=un(t,this.poolSize[0],this.padding,this.strides[0]),n=un(n,this.poolSize[1],this.padding,this.strides[1]),o=un(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,o]:[e[0],t,n,o,e[4]]}call(e,t){return V(()=>(this.invokeCallHook(e,t),this.poolingFunction(Oe(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},th=class extends cC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),WL(e,t,n,o,s,"max")}};th.className="MaxPooling3D";J.registerClass(th);var rh=class extends cC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),WL(e,t,n,o,s,"avg")}};rh.className="AveragePooling3D";J.registerClass(rh);var pC=class extends Me{constructor(e){super(e);this.inputSpec=[new At({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new Se}},nh=class extends pC{constructor(e){super(e||{})}call(e,t){return V(()=>{let n=Oe(e);return gt(n,1)})}};nh.className="GlobalAveragePooling1D";J.registerClass(nh);var oh=class extends pC{constructor(e){super(e||{})}call(e,t){return V(()=>{let n=Oe(e);return lr(n,1)})}};oh.className="GlobalMaxPooling1D";J.registerClass(oh);var mC=class extends Me{constructor(e){super(e);this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Ft(this.dataFormat),this.inputSpec=[new At({ndim:4})]}computeOutputShape(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]}call(e,t){throw new Se}getConfig(){let e={dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},sh=class extends mC{call(e,t){return V(()=>{let n=Oe(e);return this.dataFormat==="channelsLast"?gt(n,[1,2]):gt(n,[2,3])})}};sh.className="GlobalAveragePooling2D";J.registerClass(sh);var ih=class extends mC{call(e,t){return V(()=>{let n=Oe(e);return this.dataFormat==="channelsLast"?lr(n,[1,2]):lr(n,[2,3])})}};ih.className="GlobalMaxPooling2D";J.registerClass(ih);var fC=class extends Me{constructor(e){super(e);this.layer=e.layer}build(e){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(e){this.layer!=null&&(this.layer.trainable=e)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(e){this.layer.setWeights(e)}getConfig(){let e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=super.getConfig();return Object.assign(e,t),e}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)}static fromConfig(e,t,n={}){let o=t.layer,s=Yr(o,n);delete t.layer;let a={layer:s};return Object.assign(a,t),new e(a)}},ah=class extends fC{constructor(e){super(e);this.supportsMasking=!0}build(e){if(e=et(e),e.length<3)throw new B(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(e)}`);this.inputSpec=[{shape:e}];let t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),super.build(e)}computeOutputShape(e){e=et(e);let t=[e[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),o=e[1];return[n[0],o].concat(n.slice(1))}call(e,t){return V(()=>(e=Oe(e),iC((a,i)=>[Oe(this.layer.call(a,t)),[]],e,[],!1,null,null,!1,!0)[1]))}};ah.className="TimeDistributed";J.registerClass(ah);function FQ(r){qi(XM,"BidirectionalMergeMode",r)}var OQ="concat",lh=class extends fC{constructor(e){super(e);let t=e.layer.getConfig(),n={};n.className=e.layer.getClassName(),n.config=t,this.forwardLayer=Yr(n),t.goBackwards=t.goBackwards!==!0;let o={};if(o.className=e.layer.getClassName(),o.config=t,this.backwardLayer=Yr(o),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=e.mergeMode===void 0?OQ:e.mergeMode,FQ(this.mergeMode),e.weights)throw new Se("weights support is not implemented for Bidirectional layer yet.");this._stateful=e.layer.stateful,this.returnSequences=e.layer.returnSequences,this.returnState=e.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=e.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(e){let t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}computeOutputShape(e){let t=this.forwardLayer.computeOutputShape(e);Array.isArray(t)&&Array.isArray(t[0])||(t=[t]),t=t;let n,o,s;return this.returnState&&(s=t.slice(1)),n=t[0],n=n,this.mergeMode==="concat"?(n[n.length-1]*=2,o=[n]):this.mergeMode==null?o=[n,n.slice()]:o=[n],this.returnState?this.mergeMode==null?o.concat(s).concat(s.slice()):[n].concat(s).concat(s.slice()):gr(o)}apply(e,t){let n=t==null?null:t.initialState,o=t==null?null:t.constants;t==null&&(t={});let s=sC(e,n,o,this.numConstants);if(e=s.inputs,n=s.initialState,o=s.constants,Array.isArray(e)&&(n=e.slice(1),e=e[0]),(n==null||n.length===0)&&o==null)return super.apply(e,t);let a=[],i=[];if(n!=null){let u=n.length;if(u%2>0)throw new B("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=n,a.push(...n);let c=n.map(p=>new At({shape:p.shape}));this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),i.push(...c)}if(o!=null)throw new Se("Support for constants in Bidirectional layers is not implemented yet.");let l=a[0]instanceof Br;for(let u of a)if(u instanceof Br!==l)throw new B("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(l){let u=[e].concat(a),c=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=c;let m=super.apply(u,t);return this.inputSpec=p,m}else return super.apply(e,t)}call(e,t){return V(()=>{let n=t.initialState,o,s;if(n==null)o=this.forwardLayer.call(e,t),s=this.backwardLayer.call(e,t);else{let l=n.slice(0,n.length/2),u=n.slice(n.length/2);o=this.forwardLayer.call(e,Object.assign(t,{initialState:l})),s=this.backwardLayer.call(e,Object.assign(t,{initialState:u}))}let a;this.returnState&&(Array.isArray(o)&&(a=o.slice(1).concat(s.slice(1))),o=o[0],s=s[0]),this.returnSequences&&(s=Kt(s,1));let 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n=C("boxes",r,e,t),o=C("scores",r,e,t),s=C("maxOutputSize",r,e,t),a=C("iouThreshold",r,e,t),i=C("scoreThreshold",r,e,t),l=C("softNmsSigma",r,e,t);return{boxes:n,scores:o,maxOutputSize:s,iouThreshold:a,scoreThreshold:i,softNmsSigma:l}}var dz=async(r,e,t)=>{switch(r.op){case"NonMaxSuppressionV5":{let{boxes:n,scores:o,maxOutputSize:s,iouThreshold:a,scoreThreshold:i,softNmsSigma:l}=GC(r,e,t),u=await Ds.nonMaxSuppressionWithScoreAsync(n,o,s,a,i,l);return[u.selectedIndices,u.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:n,scores:o,maxOutputSize:s,iouThreshold:a,scoreThreshold:i}=GC(r,e,t),l=C("padToMaxOutputSize",r,e,t),u=await Ds.nonMaxSuppressionPaddedAsync(n,o,s,a,i,l);return[u.selectedIndices,u.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:n,scores:o,maxOutputSize:s,iouThreshold:a,scoreThreshold:i}=GC(r,e,t);return[await Ds.nonMaxSuppressionAsync(n,o,s,a,i)]}case"Where":{let n=ne(C("condition",r,e,t),"bool"),o=[await sf(n)];return 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bz=(r,e,t)=>{switch(r.op){case"Equal":return[wn(C("a",r,e,t),C("b",r,e,t))];case"NotEqual":return[Lo(C("a",r,e,t),C("b",r,e,t))];case"Greater":return[er(C("a",r,e,t),C("b",r,e,t))];case"GreaterEqual":return[tn(C("a",r,e,t),C("b",r,e,t))];case"Less":return[Tu(C("a",r,e,t),C("b",r,e,t))];case"LessEqual":return[Pn(C("a",r,e,t),C("b",r,e,t))];case"LogicalAnd":return[dr(C("a",r,e,t),C("b",r,e,t))];case"LogicalNot":return[Ta(C("a",r,e,t))];case"LogicalOr":return[Du(C("a",r,e,t),C("b",r,e,t))];case"Select":case"SelectV2":return[$t(C("condition",r,e,t),C("a",r,e,t),C("b",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};var 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V(()=>sz(s,a,i));case"control":return cz(s,a,i);case"convolution":return V(()=>mz(s,a,i));case"creation":return V(()=>fz(s,a,i));case"dynamic":return dz(s,a,i);case"evaluation":return V(()=>hz(s,a,i));case"image":return V(()=>yz(s,a,i));case"graph":return V(()=>gz(s,a,i));case"logical":return V(()=>bz(s,a,i));case"matrices":return V(()=>wz(s,a,i));case"normalization":return V(()=>_z(s,a,i));case"reduction":return V(()=>kz(s,a,i));case"slice_join":return V(()=>vz(s,a,i));case"spectral":return V(()=>Cz(s,a,i));case"transformation":return V(()=>Iz(s,a,i));case"hash_table":return xz(s,a,i,n);case"custom":let l=Kx(s.op);if(l&&l.customExecutor)return l.customExecutor(new BC(s,a,i));throw TypeError(`Custom op ${s.op} is not registered.`);default:throw TypeError(`Unknown op '${s.op}'. 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this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function qC(r,e,t,n){let o=new Set,s=[],a=null,i=null,l=new Set,u=Object.keys(r).map(m=>Zr(m)[0]),c=[];n!=null&&(c=n.map(m=>Zr(m.name)[0]));let p=[...e];for(;p.length>0;){let m=p.pop();if((UC(m)||Ete(m)||Ate(m))&&a==null&&(a=m,i=a.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),t[m.name]==null&&u.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{l.has(f.name)||(l.add(f.name),p.push(f))})}}return{inputs:r,outputs:e,usedNodes:o,missingInputs:s,dynamicNode:a,syncInputs:i}}function Nz(r,e,t){let{usedNodes:n,inputs:o}=t,s=[],a=Object.keys(o).map(c=>Zr(c)[0]).map(c=>r.nodes[c]),i=r.initNodes;a.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),i!=null&&i.forEach(c=>{n.has(c.name)&&s.push(c)});let l=new Set,u=[];for(;s.length>0;){let c=s.pop();l.add(c.name),e[c.name]||u.push(c),c.children.forEach(p=>{!l.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>l.has(m.name))&&s.push(p)})}return u}var Dte=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],$te=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],Rte=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2"];function UC(r){return Dte.indexOf(r.op)>=0}function Ete(r){return $te.indexOf(r.op)>=0}function Ate(r){return Rte.indexOf(r.op)>=0}var Yp=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new 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this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(s=>s.name).sort(),o=t.map(s=>s.name).sort();return n.join(this.SEPERATOR)+"--"+o.join(this.SEPERATOR)}compile(e,t){let n=qC(e,t,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:a}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. 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c}processChildNodes(e,t,n,o,s,a){e.children.forEach(i=>{let[l]=Vs(i.name,n);s[l]||!a.has(i.name)||(i.op==="Merge"?i.inputNames.some(u=>!!xr(u,o,n))&&(s[l]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(u=>!!xr(u,o,n))&&(s[l]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[o]=Zr(t),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let a=s.attrParams.shape.value,i=a.length===n.shape.length&&n.shape.every((l,u)=>a[u]===-1||a[u]===l);y.assert(i,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${a}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){let t={};for(let n 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-`).map(o=>(o.endsWith("\r")&&(o=o.slice(0,-1)),o))}};var my='"',fh=Symbol("out"),f3=Symbol("field"),fy=Symbol("quote"),iI=Symbol("quoteafterquote"),d3=Symbol("quoteinquote"),dh=class extends Zi{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new mh(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(y.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&y.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(t).filter(o=>t[o]>1);if(y.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let t=await(await this.base.iterator()).next();if(t.done)throw new Error("No data was found for CSV parsing.");let n=t.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},o={};for(let s=0;s<this.fullColumnNames.length;s++){let a=this.fullColumnNames[s],i=this.columnConfigs?this.columnConfigs[a]:null;if(!(this.configuredColumnsOnly&&!i)){let l=t[s],u=null;if(l==="")if(i&&i.default!==void 0)u=i.default;else{if(i&&(i.required||i.isLabel))throw new Error(`Required column ${a} is empty in this line: ${e}`);u=void 0}else{let c=Number(l);if(isNaN(c))i&&i.dtype==="bool"?u=this.getBoolean(l):u=l;else if(!i||!i.dtype)u=c;else switch(i.dtype){case"float32":u=c;break;case"int32":u=Math.floor(c);break;case"bool":u=this.getBoolean(l);break;default:u=c}}i&&i.isLabel?o[a]=u:n[a]=u}}return Object.keys(o).length===0?n:{xs:n,ys:o}}getBoolean(e){return e==="1"||e.toLowerCase()==="true"?1:0}parseRow(e,t=!0){let n=[],o=0,s=e.length,a=fh;for(let i=0;i<s;i++)switch(a){case fh:switch(e.charAt(i)){case my:o=i+1,a=fy;break;case this.delimiter:if(o=i+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),a=fh;break;default:a=f3,o=i;break}break;case f3:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(o,i)),a=fh,o=i+1;break;default:}break;case fy:switch(e.charAt(i)){case my:a=iI;break;default:}break;case iI:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(o,i-1)),a=fh,o=i+1;break;case my:a=fy;break;default:a=d3;break}break;case d3:switch(e.charAt(i)){case my:a=fy;break;default:}break;default:}if(a===iI?n.push(e.substring(o,s-1)):n.push(e.substring(o)),t&&n.length!==this.fullColumnNames.length)throw new Error(`Invalid row in csv file. Should have ${this.fullColumnNames.length} elements in a row, but got ${n}`);return n}};var hh=class extends Xt{constructor(e){super();this.microphoneConfig=e,this.isClosed=!1,this.fftSize=e.fftSize||1024;let t=Math.log2(this.fftSize);if(this.fftSize<0||t<4||t>14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(W().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");let t=new hh(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let o=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(o,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let o=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(o,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(o=>{let s=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-Infinity&&o({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(s),o({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((o,s)=>n.set(o,s*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(y.sizeFromShape(t));return n.set(e,n.length-e.length),$r(n,t)}};var gh=class extends Xt{constructor(e,t){super();if(this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Gt([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,o=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,s=(1-n)/2,a=(1-o)/2,i=s+n,l=o+a;this.cropBox=Vi([a,s,l,i],[1,4])}else this.cropBox=Vi([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(W().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new gh(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&y.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=eg.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return V(()=>{let t=ir(ne(e,"float32"),0),n;n=Ds.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let o=n.shape;return z(n,o.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(t=>t.stop());try{this.webcamVideoElement.srcObject=null}catch(t){console.log(t),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}};var xh=class{};var dy=class extends Xt{split(e){return new h3(this,e)}},h3=class extends dy{constructor(e,t){super();this.upstream=e,this.impl=new g3(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},g3=class extends Jp{constructor(e,t){super();this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}};var aI=class extends Xt{decodeUTF8(){return new y3(this)}},y3=class extends dy{constructor(e){super();this.upstream=e,this.impl=new b3(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},b3=class extends Jp{constructor(e){super();if(this.upstream=e,W().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=x3();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return W().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}};var yh=class extends aI{constructor(e,t={}){super();this.file=e,this.options=t,y.assert(e instanceof Uint8Array||(W().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((t,n)=>{let o=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)t(new Uint8Array(this.file.slice(this.offset,o)));else{let s=new FileReader;s.onload=i=>{let l=s.result;if(l instanceof ArrayBuffer&&(l=new Uint8Array(l)),!(l instanceof Uint8Array))return n(new TypeError("FileReader returned unknown type."));t(l)},s.onabort=i=>n(new Error("Aborted")),s.onerror=i=>n(new Error(i.type));let a=this.file.slice(this.offset,o);s.readAsArrayBuffer(a)}this.offset=o}),done:!1}}};async function w3(r,e={}){let t,n;typeof r=="string"?t=r:(t=r.url,n=qte(r));let o=await y.fetch(t,n);if(o.ok){let s=new Uint8Array(await o.arrayBuffer());return new yh(s,e)}else throw new Error(o.statusText)}var qte=r=>({method:r.method,headers:r.headers,body:r.body,mode:r.mode,credentials:r.credentials,cache:r.cache,redirect:r.redirect,referrer:r.referrer,integrity:r.integrity});function hy(r){return typeof r=="string"&&r.substr(0,7)==="file://"}var bh=class extends xh{constructor(e,t={}){super();this.input=e,this.options=t}async iterator(){if(hy(this.input)&&W().get("IS_NODE")){let e=require("fs");this.input=e.readFileSync(this.input.substr(7))}return new yh(this.input,this.options)}};var wh=class extends xh{constructor(e,t={}){super();this.url=e,this.fileOptions=t}async iterator(){return hy(this.url)?new bh(this.url,this.fileOptions).iterator():w3(this.url,this.fileOptions)}};function _3(r,e={}){return new dh(new wh(r),e)}function k3(r){let e=ph(r);return pn(async()=>e)}function v3(r){return pn(async()=>{let e=await r();return ph(()=>e.next())})}async function C3(r,e){return gh.create(r,e)}async function I3(r){return hh.create(r)}var N3="3.0.0";var Hte={tfjs:yI,"tfjs-core":bI,"tfjs-data":wI,"tfjs-layers":_I,"tfjs-converter":kI,"tfjs-backend-cpu":w_,"tfjs-backend-webgl":Pk,"tfjs-backend-wasm":x0};export{ss as Abs,Ks as Acos,Xs as Acosh,rp as AdadeltaOptimizer,np as AdagradOptimizer,op as AdamOptimizer,sp as AdamaxOptimizer,xn as Add,Wn as AddN,Vl as All,Gl as Any,Un as ArgMax,na as ArgMin,Ys as Asin,Zs as Asinh,Js as Atan,ei as Atan2,Qs as Atanh,qn as AvgPool,oa as AvgPool3D,Wl as AvgPool3DGrad,jl as AvgPoolGrad,px as BackendWasm,Hn as BatchMatMul,sa as BatchToSpaceND,Ul as Bincount,Pb as BroadcastTo,Ux as Callback,Sx as CallbackList,An as Cast,ti as Ceil,Dn as ClipByValue,ql as Complex,ia as ComplexAbs,is as Concat,Kn as Conv2D,Hl as Conv2DBackpropFilter,Xn as Conv2DBackpropInput,aa as Conv3D,Kl as Conv3DBackpropFilterV2,Xl as Conv3DBackpropInputV2,Yn as Cos,ri as Cosh,ni as CropAndResize,Zn as Cumsum,Ex as CustomCallback,Ja as DataStorage,Yl as DenseBincount,oi as DepthToSpace,Jn as DepthwiseConv2dNative,Zl as DepthwiseConv2dNativeBackpropFilter,Jl as DepthwiseConv2dNativeBackpropInput,Ql as Diag,la as Dilation2D,Fc as Dilation2DBackpropFilter,Rc as Dilation2DBackpropInput,Rb as ENV,Hx as EarlyStopping,si as Elu,eu as EluGrad,jh as Environment,ai as Equal,ii as Erf,eo as Exp,as as ExpandDims,li as Expm1,tu as FFT,ua as Fill,ui as FlipLeftRight,to as Floor,ro as FloorDiv,Oc as FromPixels,no as FusedBatchNorm,ws as FusedConv2D,_s as FusedDepthwiseConv2D,Wg as GPGPUContext,ci as GatherNd,ls as GatherV2,ly as GraphModel,pi as Greater,oo as GreaterEqual,Tx as History,ru as IFFT,us as Identity,nu as Imag,At as InputSpec,mi as IsFinite,fi as IsInf,di as IsNan,Ws as KernelBackend,ca as LRN,su as LRNGrad,ed as LayerVariable,In as LayersModel,so as LeakyRelu,hi as Less,gi as LessEqual,ou as LinSpace,io as Log,xi as Log1p,Mb as LogSoftmax,yi as LogicalAnd,Qa as LogicalNot,el as LogicalOr,vg as MathBackendCPU,Kg as MathBackendWebGL,ao as Max,uo as MaxPool,pa as MaxPool3D,au as MaxPool3DGrad,iu as MaxPoolGrad,lu as MaxPoolWithArgmax,lo as Maximum,co as Mean,po as Min,mo as Minimum,ma as MirrorPad,bi as Mod,ip as MomentumOptimizer,uu as Multinomial,fo as Multiply,cs as Neg,_i as NonMaxSuppressionV3,ki as NonMaxSuppressionV4,vi as NonMaxSuppressionV5,wi as NotEqual,VI as OP_SCOPE_SUFFIX,ho as OneHot,ps as OnesLike,Or as Optimizer,ms as Pack,go as PadV2,hV as Pool,xo as Pow,yo as Prelu,Ci as Prod,ap as RMSPropOptimizer,cn as RNN,fa as Range,Gb as Rank,cu as Real,Qn as RealDiv,Ii as Reciprocal,jt as Reduction,bo as Relu,_o as Relu6,fs as Reshape,wo as ResizeBilinear,mu as ResizeBilinearGrad,da as ResizeNearestNeighbor,pu as ResizeNearestNeighborGrad,ko as Reverse,Fi as RotateWithOffset,vo as Round,Co as Rsqrt,cl as SGDOptimizer,Ni as ScatterNd,ds as Select,Si as Selu,Yi as Sequential,No as Sigmoid,Ei as Sign,Io as Sin,Ti as Sinh,hs as Slice,Eo as Softmax,Ai as Softplus,ha as SpaceToBatchND,fu as SparseToDense,gs as SplitV,So as Sqrt,ga as Square,Ao as SquaredDifference,$n as Step,Di as StridedSlice,Do as Sub,To as Sum,Br as SymbolicTensor,$i as Tan,$o as Tanh,Ve as Tensor,ct as TensorBuffer,yn as Tile,Ri as TopK,Ro as Transpose,du as Unique,xs as Unpack,xa as UnsortedSegmentSum,nl as Variable,ys as ZerosLike,bs as _FusedMatMul,Et as abs,Sm as acos,Tm as acosh,Q as add,xw as addN,wu as all,il as any,al as argMax,Em as argMin,Am as asin,Dm as asinh,$m as atan,Rm as atan2,Fm as atanh,va as avgPool,Om as avgPool3d,gw as backend,N as backend_util,dj as basicLSTMCell,Oo as batchNorm,_w as batchNorm2d,kw as batchNorm3d,vw as batchNorm4d,Ca as batchToSpaceND,Cw as bincount,kU as booleanMaskAsync,ll as broadcastTo,eg as browser,Ce as buffer,YL as callbacks,ne as cast,Pm as ceil,sr as clipByValue,Rn as clone,bn as complex,Qe as concat,Iw as concat1d,Nw as concat2d,Sw as concat3d,Tw as concat4d,S0 as constraints,vu as conv1d,Ur as conv2d,Cu as conv2dTranspose,Mm as conv3d,Oj as conv3dTranspose,yV as copyRegisteredKernels,Ia as cos,Iu as cosh,lf as cosineWindow,Nu as cumsum,qr as customGrad,gy as data,Ew as denseBincount,ig as deprecationWarn,Lm as depthToSpace,Cs as depthwiseConv2d,QL as deregisterOp,Vc as device_util,jj as diag,zm as dilation2d,SG as disableDeprecationWarnings,Ee as dispose,TG as disposeVariables,de as div,Bm as divNoNan,Aw as dot,r_ as dropout,Is as elu,NG as enableDebugMode,IG as enableProdMode,n_ as enclosingPowerOfTwo,vs as engine,W as env,wn as equal,Vm as erf,Yt as exp,ir as expandDims,Gm as expm1,Xc as eye,Ra as fft,Na as fill,FG as findBackend,OG as findBackendFactory,Ns as floor,bu as floorDiv,Mk as forceHalfFloat,zo as fused,Po as gather,t_ as gatherND,tg as gather_util,$G as getBackend,Wh as getGradient,Mc as getKernel,_m as getKernelsForBackend,lA as gpgpu_util,yW as grad,bW as grads,er as greater,tn as greaterEqual,Bi as ifft,Su as imag,Ds as image,DU as inTopKAsync,$0 as initializers,jx as input,Cr as io,zu as irfft,Dw as isFinite,$w as isInf,Rw as isNaN,Dt as keep,Tr as kernel_impls,dC as layers,Sa as leakyRelu,Tu as less,Pn as lessEqual,l_ as linalg,Fw as linspace,Sz as loadGraphModel,ML as loadLayersModel,jm as localResponseNormalization,ar as log,Eu as log1p,Ow as logSigmoid,Au as logSoftmax,Um as logSumExp,dr as logicalAnd,Ta as logicalNot,Du as logicalOr,zw as logicalXor,vq as losses,je as matMul,yN as math,lr as max,Ea as maxPool,qm as maxPool3d,Bw as maxPoolWithArgmax,Hr as maximum,gt as mean,qc as memory,yC as metrics,zi as min,Ts as minimum,Hm as mirrorPad,Km as mod,OL as model,bC as models,Yc as moments,IU as movingAverage,M as mul,KW as multiRNNCell,Vw as multinomial,Ue as neg,uf as nextFrame,Gu as norm,Lo as notEqual,ks as oneHot,Ir as ones,tr as onesLike,T as op,QW as outerProduct,Rr as pad,r4 as pad1d,o4 as pad2d,i4 as pad3d,l4 as pad4d,Gw as pool,Fr as pow,Da as prelu,iw as print,$u as prod,EG as profile,x4 as rand,I4 as randomGamma,dg as randomNormal,Es as randomUniform,Jc as range,DG as ready,ul as real,Xm as reciprocal,yu as registerBackend,LL as registerCallbackConstructor,zb as registerGradient,tl as registerKernel,JL as registerOp,wC as regularizers,Nr as relu,Fu as relu6,RG as removeBackend,z as reshape,Kt as reverse,F4 as reverse1d,P4 as reverse2d,L4 as reverse3d,B4 as reverse4d,Fa as rfft,Ym as round,Ou as rsqrt,le as scalar,e_ as scatterND,rg as scatter_util,Pu as selu,Zm as separableConv2d,PL as sequential,J as serialization,FN as setBackend,PG as setPlatform,JZ as setWasmPath,QZ as setWasmPaths,V_ as setWebGLContext,Zw as setdiff1dAsync,Ig as shared,Wr as sigmoid,Jm as sign,kq as signal,Mu as sin,Lu as sinh,Fe as slice,Qm as slice1d,hg as slice2d,ef as slice3d,Qc as slice4d,or as slice_util,$a as softmax,Ss as softplus,Aa as spaceToBatchND,af as sparseToDense,_q as spectral,ur as split,yt as sqrt,Pe as square,Bu as squaredDifference,_n as squeeze,Vt as stack,As as step,tf as stridedSlice,ue as sub,ye as sum,hu as sumOutType,rf as tan,Li as tanh,$r as tensor,Gt as tensor1d,Vi as tensor2d,cw as tensor3d,mU as tensor4d,fU as tensor5d,dU as tensor6d,Fo as tensor_util,DN as test_util,V as tidy,On as tile,AG as time,nf as topk,pl as train,We as transpose,Vu as truncatedNormal,ep as unique,xV as unregisterGradient,gV as unregisterKernel,of as unsortedSegmentSum,cr as unstack,fr as upcastType,y as util,wW as valueAndGrad,_W as valueAndGrads,Jw as variable,cg as variableGrads,Hte as version,Tz as version_converter,CG as version_core,w_ as version_cpu,Gp as version_layers,x0 as version_wasm,Pk as version_webgl,o8 as webgl,nA as webgl_util,$t as where,sf as whereAsync,xt as zeros,Ie as zerosLike};
-/**
- * @license
- * Copyright 2017 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 2018 Google LLC
- *
- * Use of this source code is governed by an MIT-style
- * license that can be found in the LICENSE file or at
- * https://opensource.org/licenses/MIT.
- * =============================================================================
- */
-/**
- * @license
- * Copyright 2018 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 2018 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
- *
- * Use of this source code is governed by an MIT-style
- * license that can be found in the LICENSE file or at
- * https://opensource.org/licenses/MIT.
- * =============================================================================
- */
-/**
- * @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.
- *
- * =============================================================================
- */
-/**
- * @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.
- * =============================================================================
- */
-/**
- * @license
- * Copyright 2020 Google Inc. 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
- *
- * Use of this source code is governed by an MIT-style
- * license that can be found in the LICENSE file or at
- * https://opensource.org/licenses/MIT.
- * =============================================================================
- */
-/**
- * @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 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 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 See the LICENSE file. */
+var s=Object.create,r=Object.defineProperty,d=Object.getPrototypeOf,g=Object.prototype.hasOwnProperty,j=Object.getOwnPropertyNames,l=Object.getOwnPropertyDescriptor;var p=o=>r(o,"__esModule",{value:!0});var t=(o,e,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let f of j(e))!g.call(o,f)&&f!=="default"&&r(o,f,{get:()=>e[f],enumerable:!(n=l(e,f))||n.enumerable});return o},m=o=>o&&o.__esModule?o:t(p(r(o!=null?s(d(o)):{},"default",{value:o,enumerable:!0})),o);p(exports);t(exports,m(require("@tensorflow/tfjs-node-gpu")));
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diff --git a/dist/tfjs.esm.js.map b/dist/tfjs.esm.js.map
index 40d8079f..6a1f5ea0 100644
--- a/dist/tfjs.esm.js.map
+++ b/dist/tfjs.esm.js.map
@@ -1,7 +1,7 @@
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"../src/tfjs/tf-browser.ts"],
-  "sourcesContent": ["", "// A port of an algorithm by Johannes Baag\u00F8e <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "// A port of an algorithm by Johannes Baag\u00F8e <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", "", "", "\nvar WasmBackendModuleThreadedSimd = (function() {\n  var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n  if (typeof __filename !== 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xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance===\"undefined\"){performance=require(\"perf_hooks\").performance}}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var Atomics_load=Atomics.load;var Atomics_store=Atomics.store;var Atomics_compareExchange=Atomics.compareExchange;var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":169,\"maximum\":169+0,\"element\":\"anyfunc\"});var wasmModule;var threadInfoStruct=0;var selfThreadId=0;var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i<args.length;i++){var converter=toC[argTypes[i]];if(converter){if(stack===0)stack=stackSave();cArgs[i]=converter(args[i])}else{cArgs[i]=args[i]}}}var ret=func.apply(null,cArgs);ret=convertReturnValue(ret);if(stack!==0)stackRestore(stack);return ret}function cwrap(ident,returnType,argTypes,opts){argTypes=argTypes||[];var numericArgs=argTypes.every(function(type){return type===\"number\"});var numericRet=returnType!==\"string\";if(numericRet&&numericArgs&&!opts){return getCFunc(ident)}return function(){return ccall(ident,returnType,argTypes,arguments,opts)}}function UTF8ArrayToString(heap,idx,maxBytesToRead){var endIdx=idx+maxBytesToRead;var str=\"\";while(!(idx>=endIdx)){var u0=heap[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}var u1=heap[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}var u2=heap[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u0=(u0&7)<<18|u1<<12|u2<<6|heap[idx++]&63}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i<str.length;++i){var u=str.charCodeAt(i);if(u>=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,GROWABLE_HEAP_U8(),outPtr,maxBytesToWrite)}function lengthBytesUTF8(str){var len=0;for(var i=0;i<str.length;++i){var u=str.charCodeAt(i);if(u>=55296&&u<=57343)u=65536+((u&1023)<<10)|str.charCodeAt(++i)&1023;if(u<=127)++len;else if(u<=2047)len+=2;else if(u<=65535)len+=3;else len+=4}return len}function writeArrayToMemory(array,buffer){GROWABLE_HEAP_I8().set(array,buffer)}var WASM_PAGE_SIZE=65536;function alignUp(x,multiple){if(x%multiple>0){x+=multiple-x%multiple}return x}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var STACK_BASE=5256480,STACKTOP=STACK_BASE,STACK_MAX=13600,DYNAMIC_BASE=5256480,DYNAMICTOP_PTR=12672;if(ENVIRONMENT_IS_PTHREAD){}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module[\"wasmMemory\"];buffer=Module[\"buffer\"]}else{if(Module[\"wasmMemory\"]){wasmMemory=Module[\"wasmMemory\"]}else{wasmMemory=new WebAssembly.Memory({\"initial\":INITIAL_INITIAL_MEMORY/WASM_PAGE_SIZE,\"maximum\":2147483648/WASM_PAGE_SIZE,\"shared\":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\");if(ENVIRONMENT_IS_NODE){console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\")}throw Error(\"bad memory\")}}}if(wasmMemory){buffer=wasmMemory.buffer}INITIAL_INITIAL_MEMORY=buffer.byteLength;updateGlobalBufferAndViews(buffer);if(!ENVIRONMENT_IS_PTHREAD){GROWABLE_HEAP_I32()[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE}function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;if(ENVIRONMENT_IS_PTHREAD)runtimeInitialized=true;function preRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){if(ENVIRONMENT_IS_PTHREAD)return;callRuntimeCallbacks(__ATMAIN__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){assert(!ENVIRONMENT_IS_PTHREAD,\"addRunDependency cannot be used in a pthread worker\");runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}if(ENVIRONMENT_IS_PTHREAD)console.error(\"Pthread aborting at \"+(new Error).stack);what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm-threaded-simd.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"a\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmModule=module;if(!ENVIRONMENT_IS_PTHREAD){var numWorkersToLoad=PThread.unusedWorkers.length;PThread.unusedWorkers.forEach(function(w){PThread.loadWasmModuleToWorker(w,function(){if(!--numWorkersToLoad)removeRunDependency(\"wasm-instantiate\")})})}}if(!ENVIRONMENT_IS_PTHREAD){addRunDependency(\"wasm-instantiate\")}function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"],output[\"module\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}var ASM_CONSTS={};function initPthreadsJS(){PThread.initRuntime()}if(!ENVIRONMENT_IS_PTHREAD)__ATINIT__.push({func:function(){___wasm_call_ctors()}});var __pthread_ptr=0;var __pthread_is_main_runtime_thread=0;var __pthread_is_main_browser_thread=0;function __register_pthread_ptr(pthreadPtr,isMainBrowserThread,isMainRuntimeThread){pthreadPtr=pthreadPtr|0;isMainBrowserThread=isMainBrowserThread|0;isMainRuntimeThread=isMainRuntimeThread|0;__pthread_ptr=pthreadPtr;__pthread_is_main_browser_thread=isMainBrowserThread;__pthread_is_main_runtime_thread=isMainRuntimeThread}Module[\"__register_pthread_ptr\"]=__register_pthread_ptr;var ERRNO_CODES={EPERM:63,ENOENT:44,ESRCH:71,EINTR:27,EIO:29,ENXIO:60,E2BIG:1,ENOEXEC:45,EBADF:8,ECHILD:12,EAGAIN:6,EWOULDBLOCK:6,ENOMEM:48,EACCES:2,EFAULT:21,ENOTBLK:105,EBUSY:10,EEXIST:20,EXDEV:75,ENODEV:43,ENOTDIR:54,EISDIR:31,EINVAL:28,ENFILE:41,EMFILE:33,ENOTTY:59,ETXTBSY:74,EFBIG:22,ENOSPC:51,ESPIPE:70,EROFS:69,EMLINK:34,EPIPE:64,EDOM:18,ERANGE:68,ENOMSG:49,EIDRM:24,ECHRNG:106,EL2NSYNC:156,EL3HLT:107,EL3RST:108,ELNRNG:109,EUNATCH:110,ENOCSI:111,EL2HLT:112,EDEADLK:16,ENOLCK:46,EBADE:113,EBADR:114,EXFULL:115,ENOANO:104,EBADRQC:103,EBADSLT:102,EDEADLOCK:16,EBFONT:101,ENOSTR:100,ENODATA:116,ETIME:117,ENOSR:118,ENONET:119,ENOPKG:120,EREMOTE:121,ENOLINK:47,EADV:122,ESRMNT:123,ECOMM:124,EPROTO:65,EMULTIHOP:36,EDOTDOT:125,EBADMSG:9,ENOTUNIQ:126,EBADFD:127,EREMCHG:128,ELIBACC:129,ELIBBAD:130,ELIBSCN:131,ELIBMAX:132,ELIBEXEC:133,ENOSYS:52,ENOTEMPTY:55,ENAMETOOLONG:37,ELOOP:32,EOPNOTSUPP:138,EPFNOSUPPORT:139,ECONNRESET:15,ENOBUFS:42,EAFNOSUPPORT:5,EPROTOTYPE:67,ENOTSOCK:57,ENOPROTOOPT:50,ESHUTDOWN:140,ECONNREFUSED:14,EADDRINUSE:3,ECONNABORTED:13,ENETUNREACH:40,ENETDOWN:38,ETIMEDOUT:73,EHOSTDOWN:142,EHOSTUNREACH:23,EINPROGRESS:26,EALREADY:7,EDESTADDRREQ:17,EMSGSIZE:35,EPROTONOSUPPORT:66,ESOCKTNOSUPPORT:137,EADDRNOTAVAIL:4,ENETRESET:39,EISCONN:30,ENOTCONN:53,ETOOMANYREFS:141,EUSERS:136,EDQUOT:19,ESTALE:72,ENOTSUP:138,ENOMEDIUM:148,EILSEQ:25,EOVERFLOW:61,ECANCELED:11,ENOTRECOVERABLE:56,EOWNERDEAD:62,ESTRPIPE:135};var __main_thread_futex_wait_address=13584;function _emscripten_futex_wake(addr,count){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0||count<0)return-28;if(count==0)return 0;if(count>=2147483647)count=Infinity;var mainThreadWaitAddress=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2);var mainThreadWoken=0;if(mainThreadWaitAddress==addr){var loadedAddr=Atomics.compareExchange(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,mainThreadWaitAddress,0);if(loadedAddr==mainThreadWaitAddress){--count;mainThreadWoken=1;if(count<=0)return 1}}var ret=Atomics.notify(GROWABLE_HEAP_I32(),addr>>2,count);if(ret>=0)return ret+mainThreadWoken;throw\"Atomics.notify returned an unexpected value \"+ret}Module[\"_emscripten_futex_wake\"]=_emscripten_futex_wake;function __kill_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _kill_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _kill_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];pthread.worker.terminate();PThread.freeThreadData(pthread);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(pthread.worker),1);pthread.worker.pthread=undefined}function __cancel_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cancel_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cancel_thread!\";var pthread=PThread.pthreads[pthread_ptr];pthread.worker.postMessage({\"cmd\":\"cancel\"})}function __cleanup_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cleanup_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cleanup_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];if(pthread){var worker=pthread.worker;PThread.returnWorkerToPool(worker)}}var PThread={MAIN_THREAD_ID:1,mainThreadInfo:{schedPolicy:0,schedPrio:0},unusedWorkers:[],runningWorkers:[],initRuntime:function(){__register_pthread_ptr(PThread.mainThreadBlock,!ENVIRONMENT_IS_WORKER,1);_emscripten_register_main_browser_thread_id(PThread.mainThreadBlock)},initMainThreadBlock:function(){var pthreadPoolSize=8;for(var i=0;i<pthreadPoolSize;++i){PThread.allocateUnusedWorker()}PThread.mainThreadBlock=12832;for(var i=0;i<232/4;++i)GROWABLE_HEAP_U32()[PThread.mainThreadBlock/4+i]=0;GROWABLE_HEAP_I32()[PThread.mainThreadBlock+12>>2]=PThread.mainThreadBlock;var headPtr=PThread.mainThreadBlock+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var tlsMemory=13072;for(var i=0;i<128;++i)GROWABLE_HEAP_U32()[tlsMemory/4+i]=0;Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+104>>2,tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+40>>2,PThread.mainThreadBlock);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+44>>2,42)},initWorker:function(){},pthreads:{},exitHandlers:null,setThreadStatus:function(){},runExitHandlers:function(){if(PThread.exitHandlers!==null){while(PThread.exitHandlers.length>0){PThread.exitHandlers.pop()()}PThread.exitHandlers=null}if(ENVIRONMENT_IS_PTHREAD&&threadInfoStruct)___pthread_tsd_run_dtors()},threadExit:function(exitCode){var tb=_pthread_self();if(tb){Atomics.store(GROWABLE_HEAP_U32(),tb+4>>2,exitCode);Atomics.store(GROWABLE_HEAP_U32(),tb+0>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+60>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+64>>2,0);PThread.runExitHandlers();_emscripten_futex_wake(tb+0,2147483647);__register_pthread_ptr(0,0,0);threadInfoStruct=0;if(ENVIRONMENT_IS_PTHREAD){postMessage({\"cmd\":\"exit\"})}}},threadCancel:function(){PThread.runExitHandlers();Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+4>>2,-1);Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+0>>2,1);_emscripten_futex_wake(threadInfoStruct+0,2147483647);threadInfoStruct=selfThreadId=0;__register_pthread_ptr(0,0,0);postMessage({\"cmd\":\"cancelDone\"})},terminateAllThreads:function(){for(var t in PThread.pthreads){var pthread=PThread.pthreads[t];if(pthread&&pthread.worker){PThread.returnWorkerToPool(pthread.worker)}}PThread.pthreads={};for(var i=0;i<PThread.unusedWorkers.length;++i){var worker=PThread.unusedWorkers[i];worker.terminate()}PThread.unusedWorkers=[];for(var i=0;i<PThread.runningWorkers.length;++i){var worker=PThread.runningWorkers[i];var pthread=worker.pthread;PThread.freeThreadData(pthread);worker.terminate()}PThread.runningWorkers=[]},freeThreadData:function(pthread){if(!pthread)return;if(pthread.threadInfoStruct){var tlsMemory=GROWABLE_HEAP_I32()[pthread.threadInfoStruct+104>>2];GROWABLE_HEAP_I32()[pthread.threadInfoStruct+104>>2]=0;_free(tlsMemory);_free(pthread.threadInfoStruct)}pthread.threadInfoStruct=0;if(pthread.allocatedOwnStack&&pthread.stackBase)_free(pthread.stackBase);pthread.stackBase=0;if(pthread.worker)pthread.worker.pthread=null},returnWorkerToPool:function(worker){delete PThread.pthreads[worker.pthread.thread];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);PThread.freeThreadData(worker.pthread);worker.pthread=undefined},receiveObjectTransfer:function(data){},loadWasmModuleToWorker:function(worker,onFinishedLoading){worker.onmessage=function(e){var d=e[\"data\"];var cmd=d[\"cmd\"];if(worker.pthread)PThread.currentProxiedOperationCallerThread=worker.pthread.threadInfoStruct;if(d[\"targetThread\"]&&d[\"targetThread\"]!=_pthread_self()){var thread=PThread.pthreads[d.targetThread];if(thread){thread.worker.postMessage(e.data,d[\"transferList\"])}else{console.error('Internal error! Worker sent a message \"'+cmd+'\" to target pthread '+d[\"targetThread\"]+\", but that thread no longer exists!\")}PThread.currentProxiedOperationCallerThread=undefined;return}if(cmd===\"processQueuedMainThreadWork\"){_emscripten_main_thread_process_queued_calls()}else if(cmd===\"spawnThread\"){__spawn_thread(e.data)}else if(cmd===\"cleanupThread\"){__cleanup_thread(d[\"thread\"])}else if(cmd===\"killThread\"){__kill_thread(d[\"thread\"])}else if(cmd===\"cancelThread\"){__cancel_thread(d[\"thread\"])}else if(cmd===\"loaded\"){worker.loaded=true;if(onFinishedLoading)onFinishedLoading(worker);if(worker.runPthread){worker.runPthread();delete worker.runPthread}}else if(cmd===\"print\"){out(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"printErr\"){err(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"alert\"){alert(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"exit\"){var detached=worker.pthread&&Atomics.load(GROWABLE_HEAP_U32(),worker.pthread.thread+68>>2);if(detached){PThread.returnWorkerToPool(worker)}}else if(cmd===\"cancelDone\"){PThread.returnWorkerToPool(worker)}else if(cmd===\"objectTransfer\"){PThread.receiveObjectTransfer(e.data)}else if(e.data.target===\"setimmediate\"){worker.postMessage(e.data)}else{err(\"worker sent an unknown command \"+cmd)}PThread.currentProxiedOperationCallerThread=undefined};worker.onerror=function(e){err(\"pthread sent an error! \"+e.filename+\":\"+e.lineno+\": \"+e.message)};if(ENVIRONMENT_IS_NODE){worker.on(\"message\",function(data){worker.onmessage({data:data})});worker.on(\"error\",function(data){worker.onerror(data)});worker.on(\"exit\",function(data){console.log(\"worker exited - TODO: update the worker queue?\")})}worker.postMessage({\"cmd\":\"load\",\"urlOrBlob\":Module[\"mainScriptUrlOrBlob\"]||_scriptDir,\"wasmMemory\":wasmMemory,\"wasmModule\":wasmModule,\"DYNAMIC_BASE\":DYNAMIC_BASE,\"DYNAMICTOP_PTR\":DYNAMICTOP_PTR})},allocateUnusedWorker:function(){var pthreadMainJs=locateFile(\"tfjs-backend-wasm-threaded-simd.worker.js\");PThread.unusedWorkers.push(new Worker(pthreadMainJs))},getNewWorker:function(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}if(PThread.unusedWorkers.length>0)return PThread.unusedWorkers.pop();else return null},busySpinWait:function(msecs){var t=performance.now()+msecs;while(performance.now()<t){}}};function establishStackSpace(stackTop,stackMax){STACK_BASE=STACKTOP=stackTop;STACK_MAX=stackMax;stackRestore(stackTop)}Module[\"establishStackSpace\"]=establishStackSpace;function getNoExitRuntime(){return noExitRuntime}Module[\"getNoExitRuntime\"]=getNoExitRuntime;function ___assert_fail(condition,filename,line,func){abort(\"Assertion failed: \"+UTF8ToString(condition)+\", at: \"+[filename?UTF8ToString(filename):\"unknown filename\",line,func?UTF8ToString(func):\"unknown function\"])}function ___call_main(argc,argv){var returnCode=_main(argc,argv)}var _emscripten_get_now;if(ENVIRONMENT_IS_NODE){_emscripten_get_now=function(){var t=process[\"hrtime\"]();return t[0]*1e3+t[1]/1e6}}else if(ENVIRONMENT_IS_PTHREAD){_emscripten_get_now=function(){return performance.now()-Module[\"__performance_now_clock_drift\"]}}else if(typeof dateNow!==\"undefined\"){_emscripten_get_now=dateNow}else _emscripten_get_now=function(){return performance.now()};function setErrNo(value){GROWABLE_HEAP_I32()[___errno_location()>>2]=value;return value}function _atexit(func,arg){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(1,1,func,arg);__ATEXIT__.unshift({func:func,arg:arg})}function __emscripten_notify_thread_queue(targetThreadId,mainThreadId){if(targetThreadId==mainThreadId){postMessage({\"cmd\":\"processQueuedMainThreadWork\"})}else if(ENVIRONMENT_IS_PTHREAD){postMessage({\"targetThread\":targetThreadId,\"cmd\":\"processThreadQueue\"})}else{var pthread=PThread.pthreads[targetThreadId];var worker=pthread&&pthread.worker;if(!worker){return}worker.postMessage({\"cmd\":\"processThreadQueue\"})}return 1}function _abort(){abort()}function _emscripten_conditional_set_current_thread_status(expectedStatus,newStatus){expectedStatus=expectedStatus|0;newStatus=newStatus|0}function _emscripten_futex_wait(addr,val,timeout){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0)return-28;if(ENVIRONMENT_IS_WORKER){var ret=Atomics.wait(GROWABLE_HEAP_I32(),addr>>2,val,timeout);if(ret===\"timed-out\")return-73;if(ret===\"not-equal\")return-6;if(ret===\"ok\")return 0;throw\"Atomics.wait returned an unexpected value \"+ret}else{var loadedVal=Atomics.load(GROWABLE_HEAP_I32(),addr>>2);if(val!=loadedVal)return-6;var tNow=performance.now();var tEnd=tNow+timeout;Atomics.store(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,addr);var ourWaitAddress=addr;while(addr==ourWaitAddress){tNow=performance.now();if(tNow>tEnd){return-73}_emscripten_main_thread_process_queued_calls();addr=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2)}return 0}}function _emscripten_is_main_browser_thread(){return __pthread_is_main_browser_thread|0}function _emscripten_is_main_runtime_thread(){return __pthread_is_main_runtime_thread|0}function _emscripten_memcpy_big(dest,src,num){GROWABLE_HEAP_U8().copyWithin(dest,src,src+num)}function _emscripten_num_logical_cores(){return navigator[\"hardwareConcurrency\"]}function _emscripten_proxy_to_main_thread_js(index,sync){var numCallArgs=arguments.length-2;var stack=stackSave();var args=stackAlloc(numCallArgs*8);var b=args>>3;for(var i=0;i<numCallArgs;i++){GROWABLE_HEAP_F64()[b+i]=arguments[2+i]}var ret=_emscripten_run_in_main_runtime_thread_js(index,numCallArgs,args,sync);stackRestore(stack);return ret}var _emscripten_receive_on_main_thread_js_callArgs=[];function readAsmConstArgs(sigPtr,buf){if(!readAsmConstArgs.array){readAsmConstArgs.array=[]}var args=readAsmConstArgs.array;args.length=0;var ch;while(ch=GROWABLE_HEAP_U8()[sigPtr++]){if(ch===100||ch===102){buf=buf+7&~7;args.push(GROWABLE_HEAP_F64()[buf>>3]);buf+=8}else{buf=buf+3&~3;args.push(GROWABLE_HEAP_I32()[buf>>2]);buf+=4}}return args}function _emscripten_receive_on_main_thread_js(index,numCallArgs,args){_emscripten_receive_on_main_thread_js_callArgs.length=numCallArgs;var b=args>>3;for(var i=0;i<numCallArgs;i++){_emscripten_receive_on_main_thread_js_callArgs[i]=GROWABLE_HEAP_F64()[b+i]}var isEmAsmConst=index<0;var func=!isEmAsmConst?proxiedFunctionTable[index]:ASM_CONSTS[-index-1];if(isEmAsmConst){var sigPtr=_emscripten_receive_on_main_thread_js_callArgs[1];var varargPtr=_emscripten_receive_on_main_thread_js_callArgs[2];var constArgs=readAsmConstArgs(sigPtr,varargPtr);return func.apply(null,constArgs)}return func.apply(null,_emscripten_receive_on_main_thread_js_callArgs)}function _emscripten_get_heap_size(){return GROWABLE_HEAP_U8().length}function emscripten_realloc_buffer(size){try{wasmMemory.grow(size-buffer.byteLength+65535>>>16);updateGlobalBufferAndViews(wasmMemory.buffer);return 1}catch(e){}}function _emscripten_resize_heap(requestedSize){requestedSize=requestedSize>>>0;var oldSize=_emscripten_get_heap_size();if(requestedSize<=oldSize){return false}var PAGE_MULTIPLE=65536;var maxHeapSize=2147483648;if(requestedSize>maxHeapSize){return false}var minHeapSize=16777216;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(minHeapSize,requestedSize,overGrownHeapSize),PAGE_MULTIPLE));var replacement=emscripten_realloc_buffer(newSize);if(replacement){return true}}return false}var JSEvents={keyEvent:0,mouseEvent:0,wheelEvent:0,uiEvent:0,focusEvent:0,deviceOrientationEvent:0,deviceMotionEvent:0,fullscreenChangeEvent:0,pointerlockChangeEvent:0,visibilityChangeEvent:0,touchEvent:0,previousFullscreenElement:null,previousScreenX:null,previousScreenY:null,removeEventListenersRegistered:false,removeAllEventListeners:function(){for(var i=JSEvents.eventHandlers.length-1;i>=0;--i){JSEvents._removeHandler(i)}JSEvents.eventHandlers=[];JSEvents.deferredCalls=[]},registerRemoveEventListeners:function(){if(!JSEvents.removeEventListenersRegistered){__ATEXIT__.push(JSEvents.removeAllEventListeners);JSEvents.removeEventListenersRegistered=true}},deferredCalls:[],deferCall:function(targetFunction,precedence,argsList){function arraysHaveEqualContent(arrA,arrB){if(arrA.length!=arrB.length)return false;for(var i in arrA){if(arrA[i]!=arrB[i])return false}return true}for(var i in JSEvents.deferredCalls){var call=JSEvents.deferredCalls[i];if(call.targetFunction==targetFunction&&arraysHaveEqualContent(call.argsList,argsList)){return}}JSEvents.deferredCalls.push({targetFunction:targetFunction,precedence:precedence,argsList:argsList});JSEvents.deferredCalls.sort(function(x,y){return x.precedence<y.precedence})},removeDeferredCalls:function(targetFunction){for(var i=0;i<JSEvents.deferredCalls.length;++i){if(JSEvents.deferredCalls[i].targetFunction==targetFunction){JSEvents.deferredCalls.splice(i,1);--i}}},canPerformEventHandlerRequests:function(){return JSEvents.inEventHandler&&JSEvents.currentEventHandler.allowsDeferredCalls},runDeferredCalls:function(){if(!JSEvents.canPerformEventHandlerRequests()){return}for(var i=0;i<JSEvents.deferredCalls.length;++i){var call=JSEvents.deferredCalls[i];JSEvents.deferredCalls.splice(i,1);--i;call.targetFunction.apply(null,call.argsList)}},inEventHandler:0,currentEventHandler:null,eventHandlers:[],removeAllHandlersOnTarget:function(target,eventTypeString){for(var i=0;i<JSEvents.eventHandlers.length;++i){if(JSEvents.eventHandlers[i].target==target&&(!eventTypeString||eventTypeString==JSEvents.eventHandlers[i].eventTypeString)){JSEvents._removeHandler(i--)}}},_removeHandler:function(i){var h=JSEvents.eventHandlers[i];h.target.removeEventListener(h.eventTypeString,h.eventListenerFunc,h.useCapture);JSEvents.eventHandlers.splice(i,1)},registerOrRemoveHandler:function(eventHandler){var jsEventHandler=function jsEventHandler(event){++JSEvents.inEventHandler;JSEvents.currentEventHandler=eventHandler;JSEvents.runDeferredCalls();eventHandler.handlerFunc(event);JSEvents.runDeferredCalls();--JSEvents.inEventHandler};if(eventHandler.callbackfunc){eventHandler.eventListenerFunc=jsEventHandler;eventHandler.target.addEventListener(eventHandler.eventTypeString,jsEventHandler,eventHandler.useCapture);JSEvents.eventHandlers.push(eventHandler);JSEvents.registerRemoveEventListeners()}else{for(var i=0;i<JSEvents.eventHandlers.length;++i){if(JSEvents.eventHandlers[i].target==eventHandler.target&&JSEvents.eventHandlers[i].eventTypeString==eventHandler.eventTypeString){JSEvents._removeHandler(i--)}}}},queueEventHandlerOnThread_iiii:function(targetThread,eventHandlerFunc,eventTypeId,eventData,userData){var stackTop=stackSave();var varargs=stackAlloc(12);GROWABLE_HEAP_I32()[varargs>>2]=eventTypeId;GROWABLE_HEAP_I32()[varargs+4>>2]=eventData;GROWABLE_HEAP_I32()[varargs+8>>2]=userData;_emscripten_async_queue_on_thread_(targetThread,637534208,eventHandlerFunc,eventData,varargs);stackRestore(stackTop)},getTargetThreadForEventCallback:function(targetThread){switch(targetThread){case 1:return 0;case 2:return PThread.currentProxiedOperationCallerThread;default:return targetThread}},getNodeNameForTarget:function(target){if(!target)return\"\";if(target==window)return\"#window\";if(target==screen)return\"#screen\";return target&&target.nodeName?target.nodeName:\"\"},fullscreenEnabled:function(){return document.fullscreenEnabled||document.webkitFullscreenEnabled}};function stringToNewUTF8(jsString){var length=lengthBytesUTF8(jsString)+1;var cString=_malloc(length);stringToUTF8(jsString,cString,length);return cString}function _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height){var stackTop=stackSave();var varargs=stackAlloc(12);var targetCanvasPtr=0;if(targetCanvas){targetCanvasPtr=stringToNewUTF8(targetCanvas)}GROWABLE_HEAP_I32()[varargs>>2]=targetCanvasPtr;GROWABLE_HEAP_I32()[varargs+4>>2]=width;GROWABLE_HEAP_I32()[varargs+8>>2]=height;_emscripten_async_queue_on_thread_(targetThread,657457152,0,targetCanvasPtr,varargs);stackRestore(stackTop)}function _emscripten_set_offscreencanvas_size_on_target_thread(targetThread,targetCanvas,width,height){targetCanvas=targetCanvas?UTF8ToString(targetCanvas):\"\";_emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height)}function __maybeCStringToJsString(cString){return cString>2?UTF8ToString(cString):cString}var specialHTMLTargets=[0,typeof document!==\"undefined\"?document:0,typeof window!==\"undefined\"?window:0];function __findEventTarget(target){target=__maybeCStringToJsString(target);var domElement=specialHTMLTargets[target]||(typeof document!==\"undefined\"?document.querySelector(target):undefined);return domElement}function __findCanvasEventTarget(target){return __findEventTarget(target)}function _emscripten_set_canvas_element_size_calling_thread(target,width,height){var canvas=__findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){GROWABLE_HEAP_I32()[canvas.canvasSharedPtr>>2]=width;GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+4>>2]=height}if(canvas.offscreenCanvas||!canvas.controlTransferredOffscreen){if(canvas.offscreenCanvas)canvas=canvas.offscreenCanvas;var autoResizeViewport=false;if(canvas.GLctxObject&&canvas.GLctxObject.GLctx){var prevViewport=canvas.GLctxObject.GLctx.getParameter(2978);autoResizeViewport=prevViewport[0]===0&&prevViewport[1]===0&&prevViewport[2]===canvas.width&&prevViewport[3]===canvas.height}canvas.width=width;canvas.height=height;if(autoResizeViewport){canvas.GLctxObject.GLctx.viewport(0,0,width,height)}}else if(canvas.canvasSharedPtr){var targetThread=GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+8>>2];_emscripten_set_offscreencanvas_size_on_target_thread(targetThread,target,width,height);return 1}else{return-4}return 0}function _emscripten_set_canvas_element_size_main_thread(target,width,height){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(2,1,target,width,height);return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}function _emscripten_set_canvas_element_size(target,width,height){var canvas=__findCanvasEventTarget(target);if(canvas){return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}else{return _emscripten_set_canvas_element_size_main_thread(target,width,height)}}function _emscripten_set_current_thread_status(newStatus){newStatus=newStatus|0}function _emscripten_set_thread_name(threadId,name){threadId=threadId|0;name=name|0}function __webgl_enable_ANGLE_instanced_arrays(ctx){var ext=ctx.getExtension(\"ANGLE_instanced_arrays\");if(ext){ctx[\"vertexAttribDivisor\"]=function(index,divisor){ext[\"vertexAttribDivisorANGLE\"](index,divisor)};ctx[\"drawArraysInstanced\"]=function(mode,first,count,primcount){ext[\"drawArraysInstancedANGLE\"](mode,first,count,primcount)};ctx[\"drawElementsInstanced\"]=function(mode,count,type,indices,primcount){ext[\"drawElementsInstancedANGLE\"](mode,count,type,indices,primcount)};return 1}}function __webgl_enable_OES_vertex_array_object(ctx){var ext=ctx.getExtension(\"OES_vertex_array_object\");if(ext){ctx[\"createVertexArray\"]=function(){return ext[\"createVertexArrayOES\"]()};ctx[\"deleteVertexArray\"]=function(vao){ext[\"deleteVertexArrayOES\"](vao)};ctx[\"bindVertexArray\"]=function(vao){ext[\"bindVertexArrayOES\"](vao)};ctx[\"isVertexArray\"]=function(vao){return ext[\"isVertexArrayOES\"](vao)};return 1}}function __webgl_enable_WEBGL_draw_buffers(ctx){var ext=ctx.getExtension(\"WEBGL_draw_buffers\");if(ext){ctx[\"drawBuffers\"]=function(n,bufs){ext[\"drawBuffersWEBGL\"](n,bufs)};return 1}}var GL={counter:1,lastError:0,buffers:[],mappedBuffers:{},programs:[],framebuffers:[],renderbuffers:[],textures:[],uniforms:[],shaders:[],vaos:[],contexts:{},currentContext:null,offscreenCanvases:{},timerQueriesEXT:[],programInfos:{},stringCache:{},unpackAlignment:4,init:function(){var miniTempFloatBuffer=new Float32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i<GL.MINI_TEMP_BUFFER_SIZE;i++){GL.miniTempBufferFloatViews[i]=miniTempFloatBuffer.subarray(0,i+1)}var miniTempIntBuffer=new Int32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i<GL.MINI_TEMP_BUFFER_SIZE;i++){GL.miniTempBufferIntViews[i]=miniTempIntBuffer.subarray(0,i+1)}},recordError:function recordError(errorCode){if(!GL.lastError){GL.lastError=errorCode}},getNewId:function(table){var ret=GL.counter++;for(var i=table.length;i<ret;i++){table[i]=null}return ret},MINI_TEMP_BUFFER_SIZE:256,miniTempBufferFloatViews:[0],miniTempBufferIntViews:[0],getSource:function(shader,count,string,length){var source=\"\";for(var i=0;i<count;++i){var len=length?GROWABLE_HEAP_I32()[length+i*4>>2]:-1;source+=UTF8ToString(GROWABLE_HEAP_I32()[string+i*4>>2],len<0?undefined:len)}return source},createContext:function(canvas,webGLContextAttributes){var ctx=canvas.getContext(\"webgl\",webGLContextAttributes);if(!ctx)return 0;var handle=GL.registerContext(ctx,webGLContextAttributes);return handle},registerContext:function(ctx,webGLContextAttributes){var handle=_malloc(8);GROWABLE_HEAP_I32()[handle+4>>2]=_pthread_self();var context={handle:handle,attributes:webGLContextAttributes,version:webGLContextAttributes.majorVersion,GLctx:ctx};if(ctx.canvas)ctx.canvas.GLctxObject=context;GL.contexts[handle]=context;if(typeof webGLContextAttributes.enableExtensionsByDefault===\"undefined\"||webGLContextAttributes.enableExtensionsByDefault){GL.initExtensions(context)}return handle},makeContextCurrent:function(contextHandle){GL.currentContext=GL.contexts[contextHandle];Module.ctx=GLctx=GL.currentContext&&GL.currentContext.GLctx;return!(contextHandle&&!GLctx)},getContext:function(contextHandle){return GL.contexts[contextHandle]},deleteContext:function(contextHandle){if(GL.currentContext===GL.contexts[contextHandle])GL.currentContext=null;if(typeof JSEvents===\"object\")JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);if(GL.contexts[contextHandle]&&GL.contexts[contextHandle].GLctx.canvas)GL.contexts[contextHandle].GLctx.canvas.GLctxObject=undefined;_free(GL.contexts[contextHandle].handle);GL.contexts[contextHandle]=null},initExtensions:function(context){if(!context)context=GL.currentContext;if(context.initExtensionsDone)return;context.initExtensionsDone=true;var GLctx=context.GLctx;__webgl_enable_ANGLE_instanced_arrays(GLctx);__webgl_enable_OES_vertex_array_object(GLctx);__webgl_enable_WEBGL_draw_buffers(GLctx);GLctx.disjointTimerQueryExt=GLctx.getExtension(\"EXT_disjoint_timer_query\");var automaticallyEnabledExtensions=[\"OES_texture_float\",\"OES_texture_half_float\",\"OES_standard_derivatives\",\"OES_vertex_array_object\",\"WEBGL_compressed_texture_s3tc\",\"WEBGL_depth_texture\",\"OES_element_index_uint\",\"EXT_texture_filter_anisotropic\",\"EXT_frag_depth\",\"WEBGL_draw_buffers\",\"ANGLE_instanced_arrays\",\"OES_texture_float_linear\",\"OES_texture_half_float_linear\",\"EXT_blend_minmax\",\"EXT_shader_texture_lod\",\"EXT_texture_norm16\",\"WEBGL_compressed_texture_pvrtc\",\"EXT_color_buffer_half_float\",\"WEBGL_color_buffer_float\",\"EXT_sRGB\",\"WEBGL_compressed_texture_etc1\",\"EXT_disjoint_timer_query\",\"WEBGL_compressed_texture_etc\",\"WEBGL_compressed_texture_astc\",\"EXT_color_buffer_float\",\"WEBGL_compressed_texture_s3tc_srgb\",\"EXT_disjoint_timer_query_webgl2\",\"WEBKIT_WEBGL_compressed_texture_pvrtc\"];var exts=GLctx.getSupportedExtensions()||[];exts.forEach(function(ext){if(automaticallyEnabledExtensions.indexOf(ext)!=-1){GLctx.getExtension(ext)}})},populateUniformTable:function(program){var p=GL.programs[program];var ptable=GL.programInfos[program]={uniforms:{},maxUniformLength:0,maxAttributeLength:-1,maxUniformBlockNameLength:-1};var utable=ptable.uniforms;var numUniforms=GLctx.getProgramParameter(p,35718);for(var i=0;i<numUniforms;++i){var u=GLctx.getActiveUniform(p,i);var name=u.name;ptable.maxUniformLength=Math.max(ptable.maxUniformLength,name.length+1);if(name.slice(-1)==\"]\"){name=name.slice(0,name.lastIndexOf(\"[\"))}var loc=GLctx.getUniformLocation(p,name);if(loc){var id=GL.getNewId(GL.uniforms);utable[name]=[u.size,id];GL.uniforms[id]=loc;for(var j=1;j<u.size;++j){var n=name+\"[\"+j+\"]\";loc=GLctx.getUniformLocation(p,n);id=GL.getNewId(GL.uniforms);GL.uniforms[id]=loc}}}}};var __emscripten_webgl_power_preferences=[\"default\",\"low-power\",\"high-performance\"];function _emscripten_webgl_do_create_context(target,attributes){var contextAttributes={};var a=attributes>>2;contextAttributes[\"alpha\"]=!!GROWABLE_HEAP_I32()[a+(0>>2)];contextAttributes[\"depth\"]=!!GROWABLE_HEAP_I32()[a+(4>>2)];contextAttributes[\"stencil\"]=!!GROWABLE_HEAP_I32()[a+(8>>2)];contextAttributes[\"antialias\"]=!!GROWABLE_HEAP_I32()[a+(12>>2)];contextAttributes[\"premultipliedAlpha\"]=!!GROWABLE_HEAP_I32()[a+(16>>2)];contextAttributes[\"preserveDrawingBuffer\"]=!!GROWABLE_HEAP_I32()[a+(20>>2)];var powerPreference=GROWABLE_HEAP_I32()[a+(24>>2)];contextAttributes[\"powerPreference\"]=__emscripten_webgl_power_preferences[powerPreference];contextAttributes[\"failIfMajorPerformanceCaveat\"]=!!GROWABLE_HEAP_I32()[a+(28>>2)];contextAttributes.majorVersion=GROWABLE_HEAP_I32()[a+(32>>2)];contextAttributes.minorVersion=GROWABLE_HEAP_I32()[a+(36>>2)];contextAttributes.enableExtensionsByDefault=GROWABLE_HEAP_I32()[a+(40>>2)];contextAttributes.explicitSwapControl=GROWABLE_HEAP_I32()[a+(44>>2)];contextAttributes.proxyContextToMainThread=GROWABLE_HEAP_I32()[a+(48>>2)];contextAttributes.renderViaOffscreenBackBuffer=GROWABLE_HEAP_I32()[a+(52>>2)];var canvas=__findCanvasEventTarget(target);if(!canvas){return-4}if(contextAttributes.explicitSwapControl){return-1}var contextHandle=GL.createContext(canvas,contextAttributes);return contextHandle}function _emscripten_webgl_create_context(a0,a1){return _emscripten_webgl_do_create_context(a0,a1)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(3,1,fd);return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(4,1,fd,offset_low,offset_high,whence,newOffset)}function _fd_write(fd,iov,iovcnt,pnum){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(5,1,fd,iov,iovcnt,pnum);var num=0;for(var i=0;i<iovcnt;i++){var ptr=GROWABLE_HEAP_I32()[iov+i*8>>2];var len=GROWABLE_HEAP_I32()[iov+(i*8+4)>>2];for(var j=0;j<len;j++){SYSCALLS.printChar(fd,GROWABLE_HEAP_U8()[ptr+j])}num+=len}GROWABLE_HEAP_I32()[pnum>>2]=num;return 0}function _pthread_cleanup_pop(execute){var routine=PThread.exitHandlers.pop();if(execute)routine()}function _pthread_cleanup_push(routine,arg){if(PThread.exitHandlers===null){PThread.exitHandlers=[]}PThread.exitHandlers.push(function(){dynCall_vi(routine,arg)})}function __spawn_thread(threadParams){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _spawn_thread() can only ever be called from main application thread!\";var worker=PThread.getNewWorker();if(worker.pthread!==undefined)throw\"Internal error!\";if(!threadParams.pthread_ptr)throw\"Internal error, no pthread ptr!\";PThread.runningWorkers.push(worker);var tlsMemory=_malloc(128*4);for(var i=0;i<128;++i){GROWABLE_HEAP_I32()[tlsMemory+i*4>>2]=0}var stackHigh=threadParams.stackBase+threadParams.stackSize;var pthread=PThread.pthreads[threadParams.pthread_ptr]={worker:worker,stackBase:threadParams.stackBase,stackSize:threadParams.stackSize,allocatedOwnStack:threadParams.allocatedOwnStack,thread:threadParams.pthread_ptr,threadInfoStruct:threadParams.pthread_ptr};var tis=pthread.threadInfoStruct>>2;Atomics.store(GROWABLE_HEAP_U32(),tis+(0>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(4>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(8>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(68>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(104>>2),tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),tis+(48>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(40>>2),pthread.threadInfoStruct);Atomics.store(GROWABLE_HEAP_U32(),tis+(44>>2),42);Atomics.store(GROWABLE_HEAP_U32(),tis+(108>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(84>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(80>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+8>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+12>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+20>>2),threadParams.schedPolicy);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+24>>2),threadParams.schedPrio);var global_libc=_emscripten_get_global_libc();var global_locale=global_libc+40;Atomics.store(GROWABLE_HEAP_U32(),tis+(176>>2),global_locale);worker.pthread=pthread;var msg={\"cmd\":\"run\",\"start_routine\":threadParams.startRoutine,\"arg\":threadParams.arg,\"threadInfoStruct\":threadParams.pthread_ptr,\"selfThreadId\":threadParams.pthread_ptr,\"parentThreadId\":threadParams.parent_pthread_ptr,\"stackBase\":threadParams.stackBase,\"stackSize\":threadParams.stackSize};worker.runPthread=function(){msg.time=performance.now();worker.postMessage(msg,threadParams.transferList)};if(worker.loaded){worker.runPthread();delete worker.runPthread}}function _pthread_getschedparam(thread,policy,schedparam){if(!policy&&!schedparam)return ERRNO_CODES.EINVAL;if(!thread){err(\"pthread_getschedparam called with a null thread pointer!\");return ERRNO_CODES.ESRCH}var self=GROWABLE_HEAP_I32()[thread+12>>2];if(self!==thread){err(\"pthread_getschedparam attempted on thread \"+thread+\", which does not point to a valid thread, or does not exist anymore!\");return ERRNO_CODES.ESRCH}var schedPolicy=Atomics.load(GROWABLE_HEAP_U32(),thread+108+20>>2);var schedPrio=Atomics.load(GROWABLE_HEAP_U32(),thread+108+24>>2);if(policy)GROWABLE_HEAP_I32()[policy>>2]=schedPolicy;if(schedparam)GROWABLE_HEAP_I32()[schedparam>>2]=schedPrio;return 0}function _pthread_self(){return __pthread_ptr|0}Module[\"_pthread_self\"]=_pthread_self;function _pthread_create(pthread_ptr,attr,start_routine,arg){if(typeof SharedArrayBuffer===\"undefined\"){err(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\");return 6}if(!pthread_ptr){err(\"pthread_create called with a null thread pointer!\");return 28}var transferList=[];var error=0;if(ENVIRONMENT_IS_PTHREAD&&(transferList.length===0||error)){return _emscripten_sync_run_in_main_thread_4(687865856,pthread_ptr,attr,start_routine,arg)}if(error)return error;var stackSize=0;var stackBase=0;var detached=0;var schedPolicy=0;var schedPrio=0;if(attr){stackSize=GROWABLE_HEAP_I32()[attr>>2];stackSize+=81920;stackBase=GROWABLE_HEAP_I32()[attr+8>>2];detached=GROWABLE_HEAP_I32()[attr+12>>2]!==0;var inheritSched=GROWABLE_HEAP_I32()[attr+16>>2]===0;if(inheritSched){var prevSchedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];var prevSchedPrio=GROWABLE_HEAP_I32()[attr+24>>2];var parentThreadPtr=PThread.currentProxiedOperationCallerThread?PThread.currentProxiedOperationCallerThread:_pthread_self();_pthread_getschedparam(parentThreadPtr,attr+20,attr+24);schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2];GROWABLE_HEAP_I32()[attr+20>>2]=prevSchedPolicy;GROWABLE_HEAP_I32()[attr+24>>2]=prevSchedPrio}else{schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2]}}else{stackSize=2097152}var allocatedOwnStack=stackBase==0;if(allocatedOwnStack){stackBase=_memalign(16,stackSize)}else{stackBase-=stackSize;assert(stackBase>0)}var threadInfoStruct=_malloc(232);for(var i=0;i<232>>2;++i)GROWABLE_HEAP_U32()[(threadInfoStruct>>2)+i]=0;GROWABLE_HEAP_I32()[pthread_ptr>>2]=threadInfoStruct;GROWABLE_HEAP_I32()[threadInfoStruct+12>>2]=threadInfoStruct;var headPtr=threadInfoStruct+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var threadParams={stackBase:stackBase,stackSize:stackSize,allocatedOwnStack:allocatedOwnStack,schedPolicy:schedPolicy,schedPrio:schedPrio,detached:detached,startRoutine:start_routine,pthread_ptr:threadInfoStruct,parent_pthread_ptr:_pthread_self(),arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd=\"spawnThread\";postMessage(threadParams,transferList)}else{__spawn_thread(threadParams)}return 0}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}function _sysconf(name){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(6,1,name);switch(name){case 30:return 16384;case 85:var maxHeapSize=2147483648;return maxHeapSize/16384;case 132:case 133:case 12:case 137:case 138:case 15:case 235:case 16:case 17:case 18:case 19:case 20:case 149:case 13:case 10:case 236:case 153:case 9:case 21:case 22:case 159:case 154:case 14:case 77:case 78:case 139:case 80:case 81:case 82:case 68:case 67:case 164:case 11:case 29:case 47:case 48:case 95:case 52:case 51:case 46:case 79:return 200809;case 27:case 246:case 127:case 128:case 23:case 24:case 160:case 161:case 181:case 182:case 242:case 183:case 184:case 243:case 244:case 245:case 165:case 178:case 179:case 49:case 50:case 168:case 169:case 175:case 170:case 171:case 172:case 97:case 76:case 32:case 173:case 35:return-1;case 176:case 177:case 7:case 155:case 8:case 157:case 125:case 126:case 92:case 93:case 129:case 130:case 131:case 94:case 91:return 1;case 74:case 60:case 69:case 70:case 4:return 1024;case 31:case 42:case 72:return 32;case 87:case 26:case 33:return 2147483647;case 34:case 1:return 47839;case 38:case 36:return 99;case 43:case 37:return 2048;case 0:return 2097152;case 3:return 65536;case 28:return 32768;case 44:return 32767;case 75:return 16384;case 39:return 1e3;case 89:return 700;case 71:return 256;case 40:return 255;case 2:return 100;case 180:return 64;case 25:return 20;case 5:return 16;case 6:return 6;case 73:return 4;case 84:{if(typeof navigator===\"object\")return navigator[\"hardwareConcurrency\"]||1;return 1}}setErrNo(28);return-1}if(!ENVIRONMENT_IS_PTHREAD)PThread.initMainThreadBlock();else PThread.initWorker();var GLctx;GL.init();var proxiedFunctionTable=[null,_atexit,_emscripten_set_canvas_element_size_main_thread,_fd_close,_fd_seek,_fd_write,_sysconf];var asmLibraryArg={\"e\":___assert_fail,\"r\":___call_main,\"w\":__emscripten_notify_thread_queue,\"a\":_abort,\"l\":_emscripten_conditional_set_current_thread_status,\"d\":_emscripten_futex_wait,\"c\":_emscripten_futex_wake,\"h\":_emscripten_get_now,\"g\":_emscripten_is_main_browser_thread,\"x\":_emscripten_is_main_runtime_thread,\"q\":_emscripten_memcpy_big,\"B\":_emscripten_num_logical_cores,\"t\":_emscripten_receive_on_main_thread_js,\"A\":_emscripten_resize_heap,\"u\":_emscripten_set_canvas_element_size,\"k\":_emscripten_set_current_thread_status,\"s\":_emscripten_set_thread_name,\"v\":_emscripten_webgl_create_context,\"m\":_fd_close,\"o\":_fd_seek,\"i\":_fd_write,\"p\":initPthreadsJS,\"memory\":wasmMemory||Module[\"wasmMemory\"],\"y\":_pthread_cleanup_pop,\"z\":_pthread_cleanup_push,\"j\":_pthread_create,\"b\":_pthread_self,\"f\":_roundf,\"n\":_sysconf,\"table\":wasmTable};var asm=createWasm();Module[\"asm\"]=asm;var ___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=function(){return(___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=Module[\"asm\"][\"C\"]).apply(null,arguments)};var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"D\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"E\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"F\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"G\"]).apply(null,arguments)};var _Abs=Module[\"_Abs\"]=function(){return(_Abs=Module[\"_Abs\"]=Module[\"asm\"][\"H\"]).apply(null,arguments)};var _Add=Module[\"_Add\"]=function(){return(_Add=Module[\"_Add\"]=Module[\"asm\"][\"I\"]).apply(null,arguments)};var _AddN=Module[\"_AddN\"]=function(){return(_AddN=Module[\"_AddN\"]=Module[\"asm\"][\"J\"]).apply(null,arguments)};var _ArgMax=Module[\"_ArgMax\"]=function(){return(_ArgMax=Module[\"_ArgMax\"]=Module[\"asm\"][\"K\"]).apply(null,arguments)};var _AvgPool=Module[\"_AvgPool\"]=function(){return(_AvgPool=Module[\"_AvgPool\"]=Module[\"asm\"][\"L\"]).apply(null,arguments)};var _BatchMatMul=Module[\"_BatchMatMul\"]=function(){return(_BatchMatMul=Module[\"_BatchMatMul\"]=Module[\"asm\"][\"M\"]).apply(null,arguments)};var _ClipByValue=Module[\"_ClipByValue\"]=function(){return(_ClipByValue=Module[\"_ClipByValue\"]=Module[\"asm\"][\"N\"]).apply(null,arguments)};var _Conv2D=Module[\"_Conv2D\"]=function(){return(_Conv2D=Module[\"_Conv2D\"]=Module[\"asm\"][\"O\"]).apply(null,arguments)};var _Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=function(){return(_Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=Module[\"asm\"][\"P\"]).apply(null,arguments)};var _Cos=Module[\"_Cos\"]=function(){return(_Cos=Module[\"_Cos\"]=Module[\"asm\"][\"Q\"]).apply(null,arguments)};var _CropAndResize=Module[\"_CropAndResize\"]=function(){return(_CropAndResize=Module[\"_CropAndResize\"]=Module[\"asm\"][\"R\"]).apply(null,arguments)};var _Cumsum=Module[\"_Cumsum\"]=function(){return(_Cumsum=Module[\"_Cumsum\"]=Module[\"asm\"][\"S\"]).apply(null,arguments)};var _DepthToSpace=Module[\"_DepthToSpace\"]=function(){return(_DepthToSpace=Module[\"_DepthToSpace\"]=Module[\"asm\"][\"T\"]).apply(null,arguments)};var _DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=function(){return(_DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=Module[\"asm\"][\"U\"]).apply(null,arguments)};var _Equal=Module[\"_Equal\"]=function(){return(_Equal=Module[\"_Equal\"]=Module[\"asm\"][\"V\"]).apply(null,arguments)};var _Exp=Module[\"_Exp\"]=function(){return(_Exp=Module[\"_Exp\"]=Module[\"asm\"][\"W\"]).apply(null,arguments)};var _FlipLeftRight=Module[\"_FlipLeftRight\"]=function(){return(_FlipLeftRight=Module[\"_FlipLeftRight\"]=Module[\"asm\"][\"X\"]).apply(null,arguments)};var _Floor=Module[\"_Floor\"]=function(){return(_Floor=Module[\"_Floor\"]=Module[\"asm\"][\"Y\"]).apply(null,arguments)};var _FloorDiv=Module[\"_FloorDiv\"]=function(){return(_FloorDiv=Module[\"_FloorDiv\"]=Module[\"asm\"][\"Z\"]).apply(null,arguments)};var _FusedBatchNorm=Module[\"_FusedBatchNorm\"]=function(){return(_FusedBatchNorm=Module[\"_FusedBatchNorm\"]=Module[\"asm\"][\"_\"]).apply(null,arguments)};var _FusedConv2D=Module[\"_FusedConv2D\"]=function(){return(_FusedConv2D=Module[\"_FusedConv2D\"]=Module[\"asm\"][\"$\"]).apply(null,arguments)};var _FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=function(){return(_FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=Module[\"asm\"][\"aa\"]).apply(null,arguments)};var _Gather=Module[\"_Gather\"]=function(){return(_Gather=Module[\"_Gather\"]=Module[\"asm\"][\"ba\"]).apply(null,arguments)};var _GatherNd=Module[\"_GatherNd\"]=function(){return(_GatherNd=Module[\"_GatherNd\"]=Module[\"asm\"][\"ca\"]).apply(null,arguments)};var _Greater=Module[\"_Greater\"]=function(){return(_Greater=Module[\"_Greater\"]=Module[\"asm\"][\"da\"]).apply(null,arguments)};var _GreaterEqual=Module[\"_GreaterEqual\"]=function(){return(_GreaterEqual=Module[\"_GreaterEqual\"]=Module[\"asm\"][\"ea\"]).apply(null,arguments)};var _LeakyRelu=Module[\"_LeakyRelu\"]=function(){return(_LeakyRelu=Module[\"_LeakyRelu\"]=Module[\"asm\"][\"fa\"]).apply(null,arguments)};var _Less=Module[\"_Less\"]=function(){return(_Less=Module[\"_Less\"]=Module[\"asm\"][\"ga\"]).apply(null,arguments)};var _LessEqual=Module[\"_LessEqual\"]=function(){return(_LessEqual=Module[\"_LessEqual\"]=Module[\"asm\"][\"ha\"]).apply(null,arguments)};var _Log=Module[\"_Log\"]=function(){return(_Log=Module[\"_Log\"]=Module[\"asm\"][\"ia\"]).apply(null,arguments)};var _LogicalAnd=Module[\"_LogicalAnd\"]=function(){return(_LogicalAnd=Module[\"_LogicalAnd\"]=Module[\"asm\"][\"ja\"]).apply(null,arguments)};var _Max=Module[\"_Max\"]=function(){return(_Max=Module[\"_Max\"]=Module[\"asm\"][\"ka\"]).apply(null,arguments)};var _MaxPool=Module[\"_MaxPool\"]=function(){return(_MaxPool=Module[\"_MaxPool\"]=Module[\"asm\"][\"la\"]).apply(null,arguments)};var _Maximum=Module[\"_Maximum\"]=function(){return(_Maximum=Module[\"_Maximum\"]=Module[\"asm\"][\"ma\"]).apply(null,arguments)};var _Mean=Module[\"_Mean\"]=function(){return(_Mean=Module[\"_Mean\"]=Module[\"asm\"][\"na\"]).apply(null,arguments)};var _Min=Module[\"_Min\"]=function(){return(_Min=Module[\"_Min\"]=Module[\"asm\"][\"oa\"]).apply(null,arguments)};var _Minimum=Module[\"_Minimum\"]=function(){return(_Minimum=Module[\"_Minimum\"]=Module[\"asm\"][\"pa\"]).apply(null,arguments)};var _Multiply=Module[\"_Multiply\"]=function(){return(_Multiply=Module[\"_Multiply\"]=Module[\"asm\"][\"qa\"]).apply(null,arguments)};var _Neg=Module[\"_Neg\"]=function(){return(_Neg=Module[\"_Neg\"]=Module[\"asm\"][\"ra\"]).apply(null,arguments)};var _NonMaxSuppressionV3=Module[\"_NonMaxSuppressionV3\"]=function(){return(_NonMaxSuppressionV3=Module[\"_NonMaxSuppressionV3\"]=Module[\"asm\"][\"sa\"]).apply(null,arguments)};var _NonMaxSuppressionV4=Module[\"_NonMaxSuppressionV4\"]=function(){return(_NonMaxSuppressionV4=Module[\"_NonMaxSuppressionV4\"]=Module[\"asm\"][\"ta\"]).apply(null,arguments)};var _NonMaxSuppressionV5=Module[\"_NonMaxSuppressionV5\"]=function(){return(_NonMaxSuppressionV5=Module[\"_NonMaxSuppressionV5\"]=Module[\"asm\"][\"ua\"]).apply(null,arguments)};var _NotEqual=Module[\"_NotEqual\"]=function(){return(_NotEqual=Module[\"_NotEqual\"]=Module[\"asm\"][\"va\"]).apply(null,arguments)};var _OneHot=Module[\"_OneHot\"]=function(){return(_OneHot=Module[\"_OneHot\"]=Module[\"asm\"][\"wa\"]).apply(null,arguments)};var _PadV2=Module[\"_PadV2\"]=function(){return(_PadV2=Module[\"_PadV2\"]=Module[\"asm\"][\"xa\"]).apply(null,arguments)};var _Pow=Module[\"_Pow\"]=function(){return(_Pow=Module[\"_Pow\"]=Module[\"asm\"][\"ya\"]).apply(null,arguments)};var _Prelu=Module[\"_Prelu\"]=function(){return(_Prelu=Module[\"_Prelu\"]=Module[\"asm\"][\"za\"]).apply(null,arguments)};var _Prod=Module[\"_Prod\"]=function(){return(_Prod=Module[\"_Prod\"]=Module[\"asm\"][\"Aa\"]).apply(null,arguments)};var _RealDiv=Module[\"_RealDiv\"]=function(){return(_RealDiv=Module[\"_RealDiv\"]=Module[\"asm\"][\"Ba\"]).apply(null,arguments)};var _Relu=Module[\"_Relu\"]=function(){return(_Relu=Module[\"_Relu\"]=Module[\"asm\"][\"Ca\"]).apply(null,arguments)};var _Relu6=Module[\"_Relu6\"]=function(){return(_Relu6=Module[\"_Relu6\"]=Module[\"asm\"][\"Da\"]).apply(null,arguments)};var 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__FusedMatMul=Module[\"__FusedMatMul\"]=function(){return(__FusedMatMul=Module[\"__FusedMatMul\"]=Module[\"asm\"][\"Za\"]).apply(null,arguments)};var _malloc=Module[\"_malloc\"]=function(){return(_malloc=Module[\"_malloc\"]=Module[\"asm\"][\"_a\"]).apply(null,arguments)};var _free=Module[\"_free\"]=function(){return(_free=Module[\"_free\"]=Module[\"asm\"][\"$a\"]).apply(null,arguments)};var ___em_js__initPthreadsJS=Module[\"___em_js__initPthreadsJS\"]=function(){return(___em_js__initPthreadsJS=Module[\"___em_js__initPthreadsJS\"]=Module[\"asm\"][\"ab\"]).apply(null,arguments)};var ___errno_location=Module[\"___errno_location\"]=function(){return(___errno_location=Module[\"___errno_location\"]=Module[\"asm\"][\"bb\"]).apply(null,arguments)};var _emscripten_get_global_libc=Module[\"_emscripten_get_global_libc\"]=function(){return(_emscripten_get_global_libc=Module[\"_emscripten_get_global_libc\"]=Module[\"asm\"][\"cb\"]).apply(null,arguments)};var 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_emscripten_sync_run_in_main_thread_5=Module[\"_emscripten_sync_run_in_main_thread_5\"]=function(){return(_emscripten_sync_run_in_main_thread_5=Module[\"_emscripten_sync_run_in_main_thread_5\"]=Module[\"asm\"][\"rb\"]).apply(null,arguments)};var _emscripten_sync_run_in_main_thread_6=Module[\"_emscripten_sync_run_in_main_thread_6\"]=function(){return(_emscripten_sync_run_in_main_thread_6=Module[\"_emscripten_sync_run_in_main_thread_6\"]=Module[\"asm\"][\"sb\"]).apply(null,arguments)};var _emscripten_sync_run_in_main_thread_7=Module[\"_emscripten_sync_run_in_main_thread_7\"]=function(){return(_emscripten_sync_run_in_main_thread_7=Module[\"_emscripten_sync_run_in_main_thread_7\"]=Module[\"asm\"][\"tb\"]).apply(null,arguments)};var _emscripten_run_in_main_runtime_thread_js=Module[\"_emscripten_run_in_main_runtime_thread_js\"]=function(){return(_emscripten_run_in_main_runtime_thread_js=Module[\"_emscripten_run_in_main_runtime_thread_js\"]=Module[\"asm\"][\"ub\"]).apply(null,arguments)};var _emscripten_async_queue_on_thread_=Module[\"_emscripten_async_queue_on_thread_\"]=function(){return(_emscripten_async_queue_on_thread_=Module[\"_emscripten_async_queue_on_thread_\"]=Module[\"asm\"][\"vb\"]).apply(null,arguments)};var _emscripten_tls_init=Module[\"_emscripten_tls_init\"]=function(){return(_emscripten_tls_init=Module[\"_emscripten_tls_init\"]=Module[\"asm\"][\"wb\"]).apply(null,arguments)};var stackSave=Module[\"stackSave\"]=function(){return(stackSave=Module[\"stackSave\"]=Module[\"asm\"][\"xb\"]).apply(null,arguments)};var stackAlloc=Module[\"stackAlloc\"]=function(){return(stackAlloc=Module[\"stackAlloc\"]=Module[\"asm\"][\"yb\"]).apply(null,arguments)};var stackRestore=Module[\"stackRestore\"]=function(){return(stackRestore=Module[\"stackRestore\"]=Module[\"asm\"][\"zb\"]).apply(null,arguments)};var dynCall_vi=Module[\"dynCall_vi\"]=function(){return(dynCall_vi=Module[\"dynCall_vi\"]=Module[\"asm\"][\"Ab\"]).apply(null,arguments)};var dynCall_v=Module[\"dynCall_v\"]=function(){return(dynCall_v=Module[\"dynCall_v\"]=Module[\"asm\"][\"Bb\"]).apply(null,arguments)};var dynCall_ii=Module[\"dynCall_ii\"]=function(){return(dynCall_ii=Module[\"dynCall_ii\"]=Module[\"asm\"][\"Cb\"]).apply(null,arguments)};Module[\"asm\"]=asm;Module[\"cwrap\"]=cwrap;Module[\"PThread\"]=PThread;Module[\"PThread\"]=PThread;Module[\"_pthread_self\"]=_pthread_self;Module[\"wasmMemory\"]=wasmMemory;Module[\"ExitStatus\"]=ExitStatus;var calledRun;Module[\"then\"]=function(func){if(calledRun){func(Module)}else{var old=Module[\"onRuntimeInitialized\"];Module[\"onRuntimeInitialized\"]=function(){if(old)old();func(Module)}}return Module};function ExitStatus(status){this.name=\"ExitStatus\";this.message=\"Program terminated with exit(\"+status+\")\";this.status=status}dependenciesFulfilled=function runCaller(){if(!calledRun)run();if(!calledRun)dependenciesFulfilled=runCaller};function run(args){args=args||arguments_;if(runDependencies>0){return}preRun();if(runDependencies>0)return;function doRun(){if(calledRun)return;calledRun=true;Module[\"calledRun\"]=true;if(ABORT)return;initRuntime();preMain();if(Module[\"onRuntimeInitialized\"])Module[\"onRuntimeInitialized\"]();postRun()}if(Module[\"setStatus\"]){Module[\"setStatus\"](\"Running...\");setTimeout(function(){setTimeout(function(){Module[\"setStatus\"](\"\")},1);doRun()},1)}else{doRun()}}Module[\"run\"]=run;if(Module[\"preInit\"]){if(typeof Module[\"preInit\"]==\"function\")Module[\"preInit\"]=[Module[\"preInit\"]];while(Module[\"preInit\"].length>0){Module[\"preInit\"].pop()()}}if(!ENVIRONMENT_IS_PTHREAD)noExitRuntime=true;if(!ENVIRONMENT_IS_PTHREAD)run();\n\n\n  return WasmBackendModuleThreadedSimd\n}\n);\n})();\nif (typeof exports === 'object' && typeof module === 'object')\n      module.exports = WasmBackendModuleThreadedSimd;\n    else if (typeof define === 'function' && define['amd'])\n      define([], function() { return WasmBackendModuleThreadedSimd; });\n    else if (typeof exports === 'object')\n      exports[\"WasmBackendModuleThreadedSimd\"] = WasmBackendModuleThreadedSimd;\n    ", "\nvar WasmBackendModule = (function() {\n  var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n  if (typeof __filename !== 'undefined') _scriptDir = _scriptDir || __filename;\n  return (\nfunction(WasmBackendModule) {\n  WasmBackendModule = WasmBackendModule || {};\n\nvar Module=typeof WasmBackendModule!==\"undefined\"?WasmBackendModule:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}var arguments_=[];var thisProgram=\"./this.program\";var quit_=function(status,toThrow){throw toThrow};var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof importScripts===\"function\";ENVIRONMENT_IS_NODE=typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\";ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;var scriptDirectory=\"\";function locateFile(path){if(Module[\"locateFile\"]){return Module[\"locateFile\"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;var nodeFS;var nodePath;if(ENVIRONMENT_IS_NODE){if(ENVIRONMENT_IS_WORKER){scriptDirectory=require(\"path\").dirname(scriptDirectory)+\"/\"}else{scriptDirectory=__dirname+\"/\"}read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new 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assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i<args.length;i++){var converter=toC[argTypes[i]];if(converter){if(stack===0)stack=stackSave();cArgs[i]=converter(args[i])}else{cArgs[i]=args[i]}}}var ret=func.apply(null,cArgs);ret=convertReturnValue(ret);if(stack!==0)stackRestore(stack);return ret}function cwrap(ident,returnType,argTypes,opts){argTypes=argTypes||[];var numericArgs=argTypes.every(function(type){return type===\"number\"});var numericRet=returnType!==\"string\";if(numericRet&&numericArgs&&!opts){return getCFunc(ident)}return function(){return ccall(ident,returnType,argTypes,arguments,opts)}}var UTF8Decoder=typeof TextDecoder!==\"undefined\"?new TextDecoder(\"utf8\"):undefined;function UTF8ArrayToString(heap,idx,maxBytesToRead){var endIdx=idx+maxBytesToRead;var endPtr=idx;while(heap[endPtr]&&!(endPtr>=endIdx))++endPtr;if(endPtr-idx>16&&heap.subarray&&UTF8Decoder){return UTF8Decoder.decode(heap.subarray(idx,endPtr))}else{var str=\"\";while(idx<endPtr){var u0=heap[idx++];if(!(u0&128)){str+=String.fromCharCode(u0);continue}var u1=heap[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}var u2=heap[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u0=(u0&7)<<18|u1<<12|u2<<6|heap[idx++]&63}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(HEAPU8,ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i<str.length;++i){var u=str.charCodeAt(i);if(u>=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,HEAPU8,outPtr,maxBytesToWrite)}function writeArrayToMemory(array,buffer){HEAP8.set(array,buffer)}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;var runtimeExited=false;function preRun(){if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){callRuntimeCallbacks(__ATMAIN__)}function exitRuntime(){runtimeExited=true}function postRun(){if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"env\":asmLibraryArg,\"wasi_snapshot_preview1\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmMemory=exports[\"memory\"];updateGlobalBufferAndViews(wasmMemory.buffer);removeRunDependency(\"wasm-instantiate\")}addRunDependency(\"wasm-instantiate\");function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function 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stackRestore=Module[\"stackRestore\"]=function(){return(stackRestore=Module[\"stackRestore\"]=Module[\"asm\"][\"stackRestore\"]).apply(null,arguments)};Module[\"asm\"]=asm;Module[\"cwrap\"]=cwrap;var calledRun;Module[\"then\"]=function(func){if(calledRun){func(Module)}else{var old=Module[\"onRuntimeInitialized\"];Module[\"onRuntimeInitialized\"]=function(){if(old)old();func(Module)}}return Module};function ExitStatus(status){this.name=\"ExitStatus\";this.message=\"Program terminated with exit(\"+status+\")\";this.status=status}var calledMain=false;dependenciesFulfilled=function runCaller(){if(!calledRun)run();if(!calledRun)dependenciesFulfilled=runCaller};function callMain(args){var entryFunction=Module[\"__start\"];try{entryFunction();var ret=0;exit(ret,true)}catch(e){if(e instanceof ExitStatus){return}else if(e==\"unwind\"){noExitRuntime=true;return}else{var toLog=e;if(e&&typeof e===\"object\"&&e.stack){toLog=[e,e.stack]}err(\"exception thrown: 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shouldRunNow=true;if(Module[\"noInitialRun\"])shouldRunNow=false;noExitRuntime=true;run();\n\n\n  return WasmBackendModule\n}\n);\n})();\nif (typeof exports === 'object' && typeof module === 'object')\n      module.exports = WasmBackendModule;\n    else if (typeof define === 'function' && define['amd'])\n      define([], function() { return WasmBackendModule; });\n    else if (typeof exports === 'object')\n      exports[\"WasmBackendModule\"] = WasmBackendModule;\n    ", "// A port of an algorithm by Johannes Baag\u00F8e <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = String(data);\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2019 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (global, pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\n\nvar width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n} else {\n  // When included as a plain script, set up Math.seedrandom global.\n  math['seed' + rngname] = seedrandom;\n}\n\n\n// End anonymous scope, and pass initial values.\n})(\n  // global: `self` in browsers (including strict mode and web workers),\n  // otherwise `this` in Node and other environments\n  (typeof self !== 'undefined') ? self : this,\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "export const wasmWorkerContents = 'var threadInfoStruct=0;var selfThreadId=0;var parentThreadId=0;var Module={};function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:selfThreadId})}var err=threadPrintErr;this.alert=threadAlert;Module[\"instantiateWasm\"]=function(info,receiveInstance){var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);Module[\"wasmModule\"]=null;receiveInstance(instance);return instance.exports};this.onmessage=function(e){try{if(e.data.cmd===\"load\"){Module[\"DYNAMIC_BASE\"]=e.data.DYNAMIC_BASE;Module[\"DYNAMICTOP_PTR\"]=e.data.DYNAMICTOP_PTR;Module[\"wasmModule\"]=e.data.wasmModule;Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob===\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}Module=WasmBackendModuleThreadedSimd(Module);postMessage({\"cmd\":\"loaded\"})}else if(e.data.cmd===\"objectTransfer\"){Module[\"PThread\"].receiveObjectTransfer(e.data)}else if(e.data.cmd===\"run\"){Module[\"__performance_now_clock_drift\"]=performance.now()-e.data.time;threadInfoStruct=e.data.threadInfoStruct;Module[\"__register_pthread_ptr\"](threadInfoStruct,0,0);selfThreadId=e.data.selfThreadId;parentThreadId=e.data.parentThreadId;var max=e.data.stackBase;var top=e.data.stackBase+e.data.stackSize;Module[\"establishStackSpace\"](top,max);Module[\"_emscripten_tls_init\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].setThreadStatus(Module[\"_pthread_self\"](),1);try{var result=Module[\"dynCall_ii\"](e.data.start_routine,e.data.arg);if(!Module[\"getNoExitRuntime\"]())Module[\"PThread\"].threadExit(result)}catch(ex){if(ex===\"Canceled!\"){Module[\"PThread\"].threadCancel()}else if(ex!=\"unwind\"){Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+4>>2,ex instanceof Module[\"ExitStatus\"]?ex.status:-2);Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+0>>2,1);Module[\"_emscripten_futex_wake\"](threadInfoStruct+0,2147483647);if(!(ex instanceof Module[\"ExitStatus\"]))throw ex}}}else if(e.data.cmd===\"cancel\"){if(threadInfoStruct){Module[\"PThread\"].threadCancel()}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processThreadQueue\"){if(threadInfoStruct){Module[\"_emscripten_current_thread_process_queued_calls\"]()}}else{err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){err(\"worker.js onmessage() captured an uncaught exception: \"+ex);if(ex.stack)err(ex.stack);throw ex}};if(typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\"){self={location:{href:__filename}};var onmessage=this.onmessage;var nodeWorkerThreads=require(\"worker_threads\");Worker=nodeWorkerThreads.Worker;var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",function(data){onmessage({data:data})});var nodeFS=require(\"fs\");var nodeRead=function(filename){return nodeFS.readFileSync(filename,\"utf8\")};function globalEval(x){global.require=require;global.Module=Module;eval.call(null,x)}importScripts=function(f){globalEval(nodeRead(f))};postMessage=function(msg){parentPort.postMessage(msg)};if(typeof performance===\"undefined\"){performance={now:function(){return Date.now()}}}}';", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport { version as tfjs } from '@tensorflow/tfjs/package.json';\nimport { version as versionCore } from '@tensorflow/tfjs-core/package.json';\nimport { version as versionData } from '@tensorflow/tfjs-data/package.json';\nimport { version as versionLayers } from '@tensorflow/tfjs-layers/package.json';\nimport { version as versionConverter } from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n  tfjs,\n  'tfjs-core': versionCore,\n  'tfjs-data': versionData,\n  'tfjs-layers': versionLayers,\n  'tfjs-converter': versionConverter,\n  'tfjs-backend-cpu': version_cpu,\n  'tfjs-backend-webgl': version_webgl,\n  'tfjs-backend-wasm': version_wasm,\n};\n"],
-  "mappings": 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diff --git a/wiki b/wiki
index d365c4e4..aa8ee9c5 160000
--- a/wiki
+++ b/wiki
@@ -1 +1 @@
-Subproject commit d365c4e487508181811ea7ff1a26d682ef6896b7
+Subproject commit aa8ee9c5f64aed1d16bb9e5a8435bb0a538e0372