/*!
 * artplayer-plugin-danmuku-mask.js v1.0.0
 * Github: https://github.com/zhw2590582/ArtPlayer
 * (c) 2017-2026 Harvey Zack
 * Released under the MIT License.
 */
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es={architecture:"MobileNetV1",outputStride:16,quantBytes:4,multiplier:.75},eo=["MobileNetV1","ResNet50"],ei={MobileNetV1:[8,16,32],ResNet50:[32,16]},ec={MobileNetV1:[.5,.75,1],ResNet50:[1]},eu=[1,2,4],el={flipHorizontal:!1,internalResolution:"medium",segmentationThreshold:.7,maxDetections:10,scoreThreshold:.4,nmsRadius:20},ep={flipHorizontal:!1,internalResolution:"medium",segmentationThreshold:.7,maxDetections:10,scoreThreshold:.4,nmsRadius:20,minKeypointScore:.3,refineSteps:10};function ef(e){var t=e.segmentationThreshold,r=e.maxDetections,n=e.scoreThreshold,a=e.nmsRadius;if(t<0||t>1)throw Error("segmentationThreshold "+t+". 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t=this.baseModel.predict(e);return{segmentLogits:t.segmentation,longOffsets:t.longOffsets,heatmapScores:t.heatmapScores,offsets:t.offsets,displacementFwd:t.displacementFwd,displacementBwd:t.displacementBwd,partHeatmaps:t.partHeatmaps}},e.prototype.segmentPersonActivation=function(e,t,r){var n=this;void 0===r&&(r=.5);var a=Z(e),s=a[0],i=a[1],c=ee(t,this.baseModel.outputStride,[s,i]),u=er(e,c),l=u.resized,p=u.padding,f=(0,o.tidy)(function(){var e=n.predictForPersonSegmentation(l),t=e.segmentLogits,a=e.heatmapScores,c=e.offsets,u=e.displacementFwd,f=e.displacementBwd,d=l.shape,h=et(t,[s,i],[d[0],d[1]],[[p.top,p.bottom],[p.left,p.right]],!0);return{segmentation:k((0,o.squeeze)(h),r),heatmapScores:a,offsets:c,displacementFwd:u,displacementBwd:f}}),d=f.segmentation,h=f.heatmapScores,m=f.offsets,g=f.displacementFwd,v=f.displacementBwd;return l.dispose(),{segmentation:d,heatmapScores:h,offsets:m,displacementFwd:g,displacementBwd:v,padding:p,internalResolutionHeightAndWidth:c}},e.prototype.segmentPerson=function(e,t){return void 0===t&&(t=el),f(this,void 0,void 0,function(){var r,n,a,s,o,i,c,u,l,f,h,m,g,v,_,x;return d(this,function(d){switch(d.label){case 0:return ef(t=p(p({},el),t)),n=(r=this.segmentPersonActivation(e,t.internalResolution,t.segmentationThreshold)).segmentation,a=r.heatmapScores,s=r.offsets,o=r.displacementFwd,i=r.displacementBwd,c=r.padding,u=r.internalResolutionHeightAndWidth,f=(l=n.shape)[0],h=l[1],[4,n.data()];case 1:return m=d.sent(),n.dispose(),[4,en([a,s,o,i])];case 2:return v=(g=d.sent())[0],_=g[1],x=ea(x=U(v,_,g[2],g[3],this.baseModel.outputStride,t.maxDetections,t.scoreThreshold,t.nmsRadius),[f,h],u,c,!1),a.dispose(),s.dispose(),o.dispose(),i.dispose(),[2,{height:f,width:h,data:m,allPoses:x}]}})})},e.prototype.segmentMultiPerson=function(e,t){return void 0===t&&(t=ep),f(this,void 0,void 0,function(){var r,n,a,s,i,c,u,l,h,m,g,v,_,x,y,b,j,w,I,T=this;return d(this,function(S){switch(S.label){case 0:return ed(t=p(p({},ep),t)),n=(r=Z(e))[0],a=r[1],c=(i=er(e,s=ee(t.internalResolution,this.baseModel.outputStride,[n,a]))).resized,u=i.padding,h=(l=(0,o.tidy)(function(){var e=T.predictForMultiPersonInstanceSegmentationAndPart(c),r=e.segmentLogits,i=e.longOffsets,l=e.heatmapScores,p=e.offsets,f=e.displacementFwd,d=e.displacementBwd,h=et(r,[n,a],s,[[u.top,u.bottom],[u.left,u.right]],!0);return{segmentation:k((0,o.squeeze)(h),t.segmentationThreshold),longOffsets:i,heatmapScoresRaw:l,offsetsRaw:p,displacementFwdRaw:f,displacementBwdRaw:d}})).segmentation,m=l.longOffsets,g=l.heatmapScoresRaw,v=l.offsetsRaw,_=l.displacementFwdRaw,x=l.displacementBwdRaw,[4,en([g,v,_,x])];case 1:return b=(y=S.sent())[0],j=y[1],w=ea(w=U(b,j,y[2],y[3],this.baseModel.outputStride,t.maxDetections,t.scoreThreshold,t.nmsRadius),[n,a],s,u,!1),[4,function(e,t,r,n,a,s,i,c,u,l,p,h){var m=i[0],g=i[1];return void 0===u&&(u=.2),void 0===l&&(l=8),void 0===p&&(p=.3),void 0===h&&(h=10),f(this,void 0,void 0,function(){var i,f,v,_,x;return d(this,function(d){switch(d.label){case 0:return i=r.filter(function(e){return e.score>=u}),P()?[4,Promise.all((v=(0,o.tidy)(function(){var r=R(e,t,i,n,a,s,[m,g],c,l,p,h),u=(0,o.engine)().makeTensorFromDataId(r.dataId,r.shape,r.dtype);return i.map(function(e,t){return(0,o.tidy)(function(){return(0,o.cast)((0,o.equal)(u,(0,o.scalar)(t)),"int32")})})})).map(function(e){return e.data()}))]:[3,2];case 1:return f=d.sent(),v.forEach(function(e){return e.dispose()}),[3,5];case 2:return[4,e.data()];case 3:return _=d.sent(),[4,t.data()];case 4:x=d.sent(),f=function(e,t,r,n,a,s,o,i,c,u){var l=o[0],p=o[1];void 0===u&&(u=5);for(var f=r.map(function(e){return new Uint8Array(n*a).fill(0)}),d=i.top,h=i.left,m=N([n,a],[l,p],i),g=m[0],v=m[1],_=A([l,p],s)[0],x=0;x<n;x+=1)for(var y=0;y<a;y+=1){var b=x*a+y;if(1===e[b]){var k=F({x:y,y:x},t,r,u,[d,h],[g,v],_,[n,a],s,c);k>=0&&(f[k][b]=1)}}return f}(_,x,i,n,a,s,[m,g],c,l),d.label=5;case 5:return[2,f.map(function(e,t){return{data:e,pose:i[t],width:a,height:n}})]}})})}(h,m,w,n,a,this.baseModel.outputStride,s,u,t.scoreThreshold,t.refineSteps,t.minKeypointScore,t.maxDetections)];case 2:return I=S.sent(),c.dispose(),h.dispose(),m.dispose(),g.dispose(),v.dispose(),_.dispose(),x.dispose(),[2,I]}})})},e.prototype.segmentPersonPartsActivation=function(e,t,r){var n=this;void 0===r&&(r=.5);var a=Z(e),s=a[0],i=a[1],c=ee(t,this.baseModel.outputStride,[s,i]),u=er(e,c),l=u.resized,p=u.padding,f=(0,o.tidy)(function(){var e,t,a,c,u,f=n.predictForPersonSegmentationAndPart(l),d=f.segmentLogits,h=f.partHeatmapLogits,m=f.heatmapScores,g=f.offsets,v=f.displacementFwd,_=f.displacementBwd,x=l.shape,y=x[0],j=x[1],w=et(d,[s,i],[y,j],[[p.top,p.bottom],[p.left,p.right]],!0),I=et(h,[s,i],[y,j],[[p.top,p.bottom],[p.left,p.right]],!0);return{partSegmentation:(e=k((0,o.squeeze)(w),r),a=(t=I.shape)[0],c=t[1],u=t[2],(0,o.tidy)(function(){var t=b(I),r=(0,o.expandDims)((0,o.range)(0,u,1,"int32"),1),n=(0,o.cast)((0,o.matMul)(t,r),"int32"),s=(0,o.reshape)(n,[a,c]),i=(0,o.add)(s,(0,o.scalar)(1,"int32"));return(0,o.sub)((0,o.mul)(i,e),(0,o.scalar)(1,"int32"))})),heatmapScores:m,offsets:g,displacementFwd:v,displacementBwd:_}}),d=f.partSegmentation,h=f.heatmapScores,m=f.offsets,g=f.displacementFwd,v=f.displacementBwd;return l.dispose(),{partSegmentation:d,heatmapScores:h,offsets:m,displacementFwd:g,displacementBwd:v,padding:p,internalResolutionHeightAndWidth:c}},e.prototype.segmentPersonParts=function(e,t){return void 0===t&&(t=el),f(this,void 0,void 0,function(){var r,n,a,s,o,i,c,u,l,f,h,m,g,v,_,x;return d(this,function(d){switch(d.label){case 0:return ef(t=p(p({},el),t)),n=(r=this.segmentPersonPartsActivation(e,t.internalResolution,t.segmentationThreshold)).partSegmentation,a=r.heatmapScores,s=r.offsets,o=r.displacementFwd,i=r.displacementBwd,c=r.padding,u=r.internalResolutionHeightAndWidth,f=(l=n.shape)[0],h=l[1],[4,n.data()];case 1:return m=d.sent(),n.dispose(),[4,en([a,s,o,i])];case 2:return v=(g=d.sent())[0],_=g[1],x=ea(x=U(v,_,g[2],g[3],this.baseModel.outputStride,t.maxDetections,t.scoreThreshold,t.nmsRadius),[f,h],u,c,!1),a.dispose(),s.dispose(),o.dispose(),i.dispose(),[2,{height:f,width:h,data:m,allPoses:x}]}})})},e.prototype.segmentMultiPersonParts=function(e,t){return void 0===t&&(t=ep),f(this,void 0,void 0,function(){var r,n,a,s,i,c,u,l,h,m,g,v,_,x,y,j,w,I,T,S,M=this;return d(this,function(C){switch(C.label){case 0:return ed(t=p(p({},ep),t)),n=(r=Z(e))[0],a=r[1],c=(i=er(e,s=ee(t.internalResolution,this.baseModel.outputStride,[n,a]))).resized,u=i.padding,h=(l=(0,o.tidy)(function(){var e,r,i,l,p=M.predictForMultiPersonInstanceSegmentationAndPart(c),f=p.segmentLogits,d=p.longOffsets,h=p.heatmapScores,m=p.offsets,g=p.displacementFwd,v=p.displacementBwd,_=p.partHeatmaps,x=et(f,[n,a],s,[[u.top,u.bottom],[u.left,u.right]],!0),y=et(_,[n,a],s,[[u.top,u.bottom],[u.left,u.right]],!0);return{segmentation:k((0,o.squeeze)(x),t.segmentationThreshold),longOffsets:d,heatmapScoresRaw:h,offsetsRaw:m,displacementFwdRaw:g,displacementBwdRaw:v,partSegmentation:(r=(e=y.shape)[0],i=e[1],l=e[2],(0,o.tidy)(function(){var e=b(y),t=(0,o.expandDims)((0,o.range)(0,l,1,"int32"),1),n=(0,o.cast)((0,o.matMul)(e,t),"int32");return(0,o.reshape)(n,[r,i])}))}})).segmentation,m=l.longOffsets,g=l.heatmapScoresRaw,v=l.offsetsRaw,_=l.displacementFwdRaw,x=l.displacementBwdRaw,y=l.partSegmentation,[4,en([g,v,_,x])];case 1:return w=(j=C.sent())[0],I=j[1],T=ea(T=U(w,I,j[2],j[3],this.baseModel.outputStride,t.maxDetections,t.scoreThreshold,t.nmsRadius),[n,a],s,u,!1),[4,function(e,t,r,n,a,s,i,c,u,l,p,h,m){var g=c[0],v=c[1];return void 0===l&&(l=.2),void 0===p&&(p=8),void 0===h&&(h=.3),void 0===m&&(m=10),f(this,void 0,void 0,function(){var c,f,_,x,y,b;return d(this,function(d){switch(d.label){case 0:return c=n.filter(function(e){return e.score>=l}),P()?[4,Promise.all((_=(0,o.tidy)(function(){var n=R(e,t,c,a,s,i,[g,v],u,p,h,m),l=(0,o.engine)().makeTensorFromDataId(n.dataId,n.shape,n.dtype);return c.map(function(e,t){return(0,o.tidy)(function(){return(0,o.sub)((0,o.mul)((0,o.cast)((0,o.equal)(l,(0,o.scalar)(t)),"int32"),(0,o.add)(r,1)),1)})})})).map(function(e){return e.data()}))]:[3,2];case 1:return f=d.sent(),_.forEach(function(e){return e.dispose()}),[3,6];case 2:return[4,e.data()];case 3:return x=d.sent(),[4,t.data()];case 4:return y=d.sent(),[4,r.data()];case 5:b=d.sent(),f=function(e,t,r,n,a,s,o,i,c,u,l){var p=i[0],f=i[1];void 0===l&&(l=5);for(var d=n.map(function(e){return new Int32Array(a*s).fill(-1)}),h=c.top,m=c.left,g=N([a,s],[p,f],c),v=g[0],_=g[1],x=A([p,f],o)[0],y=0;y<a;y+=1)for(var b=0;b<s;b+=1){var k=y*s+b;if(1===e[k]){var j=F({x:b,y:y},t,n,l,[h,m],[v,_],x,[a,s],o,u);j>=0&&(d[j][k]=r[k])}}return d}(x,y,b,c,a,s,i,[g,v],u,p),d.label=6;case 6:return[2,f.map(function(e,t){return{pose:c[t],data:e,height:a,width:s}})]}})})}(h,m,y,T,n,a,this.baseModel.outputStride,s,u,t.scoreThreshold,t.refineSteps,t.minKeypointScore,t.maxDetections)];case 2:return S=C.sent(),c.dispose(),h.dispose(),m.dispose(),g.dispose(),v.dispose(),_.dispose(),x.dispose(),y.dispose(),[2,S]}})})},e.prototype.dispose=function(){this.baseModel.dispose()},e}(),em=["left_face","right_face","left_upper_arm_front","left_upper_arm_back","right_upper_arm_front","right_upper_arm_back","left_lower_arm_front","left_lower_arm_back","right_lower_arm_front","right_lower_arm_back","left_hand","right_hand","torso_front","torso_back","left_upper_leg_front","left_upper_leg_back","right_upper_leg_front","right_upper_leg_back","left_lower_leg_front","left_lower_leg_back","right_lower_leg_front","right_lower_leg_back","left_feet","right_feet"],eg=function(){function e(e){this.mask=e}return e.prototype.toCanvasImageSource=function(){return f(this,void 0,void 0,function(){return d(this,function(e){return[2,m(this.mask)]})})},e.prototype.toImageData=function(){return f(this,void 0,void 0,function(){return d(this,function(e){return[2,this.mask]})})},e.prototype.toTensor=function(){return f(this,void 0,void 0,function(){return d(this,function(e){return[2,v(this.mask)]})})},e.prototype.getUnderlyingType=function(){return"imagedata"},e}();function ev(e){if(_(e),255!==e)throw Error("Foreground id must be 255 but got "+e);return"person"}function e_(e){if(_(e),e>=em.length)throw Error("Invalid body part value "+e);return em[e]}var ex=function(){function e(e){this.bodyPixModel=e}return e.prototype.segmentPeople=function(e,t){return f(this,void 0,void 0,function(){var r,n,a,s;return d(this,function(o){switch(o.label){case 0:return e instanceof ImageBitmap&&((r=document.createElement("canvas")).getContext("2d").drawImage(e,0,0),e=r),t.segmentBodyParts?t.multiSegmentation?[4,this.bodyPixModel.segmentMultiPersonParts(e,t)]:[3,2]:[3,5];case 1:return a=o.sent(),[3,4];case 2:return[4,this.bodyPixModel.segmentPersonParts(e,t)];case 3:a=[o.sent()],o.label=4;case 4:return n=a.map(function(e){var t=e.data,r=e.width,n=e.height,a=new Uint8ClampedArray(r*n*4).fill(0);return t.forEach(function(e,t){-1===e?(a[4*t]=em.length,a[4*t+3]=0):(a[4*t]=e,a[4*t+3]=255)}),{maskValueToLabel:e_,mask:new eg(new ImageData(a,r,n))}}),[3,10];case 5:return t.multiSegmentation?[4,this.bodyPixModel.segmentMultiPerson(e,t)]:[3,7];case 6:return s=o.sent(),[3,9];case 7:return[4,this.bodyPixModel.segmentPerson(e,t)];case 8:s=[o.sent()],o.label=9;case 9:n=s.map(function(e){var t=e.data,r=e.width,n=e.height,a=new Uint8ClampedArray(r*n*4).fill(0);return t.forEach(function(e,t){0===e?(a[4*t]=0,a[4*t+3]=0):(a[4*t]=255,a[4*t+3]=255)}),{maskValueToLabel:ev,mask:new eg(new ImageData(a,r,n))}}),o.label=10;case 10:return[2,n]}})})},e.prototype.dispose=function(){this.bodyPixModel.dispose()},e.prototype.reset=function(){},e}(),ey={runtime:"mediapipe",modelType:"general"},eb=function(){function e(e){this.mask=e}return e.prototype.toCanvasImageSource=function(){return f(this,void 0,void 0,function(){return d(this,function(e){return[2,this.mask]})})},e.prototype.toImageData=function(){return f(this,void 0,void 0,function(){return d(this,function(e){return[2,g(this.mask)]})})},e.prototype.toTensor=function(){return f(this,void 0,void 0,function(){return d(this,function(e){return[2,v(this.mask)]})})},e.prototype.getUnderlyingType=function(){return"canvasimagesource"},e}();function ek(e){return _(e),"person"}var ej=function(){function e(e){var t,r,n=this;this.selfieMode=!1,t=+(this.selfieSegmentationSolution=new(0,c.SelfieSegmentation)({locateFile:null!=(r=e.locateFile)?r:function(t,r){return e.solutionPath?e.solutionPath.replace(/\/+$/,"")+"/"+t:r+"/"+t}}),"landscape"===e.modelType),this.selfieSegmentationSolution.setOptions({modelSelection:t,selfieMode:this.selfieMode}),this.selfieSegmentationSolution.onResults(function(e){n.segmentation=[{maskValueToLabel:ek,mask:new eb(e.segmentationMask)}]})}return e.prototype.segmentPeople=function(e,t){return f(this,void 0,void 0,function(){var r,n;return d(this,function(a){switch(a.label){case 0:return t&&t.flipHorizontal&&t.flipHorizontal!==this.selfieMode&&(this.selfieMode=t.flipHorizontal,this.selfieSegmentationSolution.setOptions({selfieMode:this.selfieMode})),e instanceof o.Tensor?(n=ImageData.bind,[4,o.browser.toPixels(e)]):[3,2];case 1:return r=new(n.apply(ImageData,[void 0,a.sent(),e.shape[1],e.shape[0]])),[3,3];case 2:r=e,a.label=3;case 3:return e=r,[4,this.selfieSegmentationSolution.send({image:e})];case 4:return a.sent(),[2,this.segmentation]}})})},e.prototype.dispose=function(){this.selfieSegmentationSolution.close()},e.prototype.reset=function(){this.selfieSegmentationSolution.reset(),this.segmentation=null,this.selfieMode=!1},e.prototype.initialize=function(){return this.selfieSegmentationSolution.initialize()},e}();function ew(e){return e instanceof o.Tensor?{height:e.shape[0],width:e.shape[1]}:{height:e.height,width:e.width}}function eI(e,t){o.util.assert(0!==e.width,function(){return t+" width cannot be 0."}),o.util.assert(0!==e.height,function(){return t+" height cannot be 0."})}var eT={runtime:"tfjs",modelType:"general",modelUrl:"https://tfhub.dev/mediapipe/tfjs-model/selfie_segmentation/general/1"},eS={flipHorizontal:!1},eN={outputTensorSize:{width:256,height:256},keepAspectRatio:!1,borderMode:"zero",outputTensorFloatRange:[0,1]},eM={outputTensorSize:{width:256,height:144},keepAspectRatio:!1,borderMode:"zero",outputTensorFloatRange:[0,1]},eC={activation:"none"},eE=function(){function e(e){this.mask=e}return e.prototype.toCanvasImageSource=function(){return f(this,void 0,void 0,function(){return d(this,function(e){return[2,m(this.mask)]})})},e.prototype.toImageData=function(){return f(this,void 0,void 0,function(){return d(this,function(e){return[2,g(this.mask)]})})},e.prototype.toTensor=function(){return f(this,void 0,void 0,function(){return d(this,function(e){return[2,this.mask]})})},e.prototype.getUnderlyingType=function(){return"tensor"},e}();function eF(e){return _(e),"person"}var eA,eR=function(){function e(e,t){this.modelType=e,this.model=t}return e.prototype.segmentPeople=function(e,t){return f(this,void 0,void 0,function(){var r=this;return d(this,function(n){return t=function(e){if(null==e)return p({},eS);var t=p({},e);return null==t.flipHorizontal&&(t.flipHorizontal=eS.flipHorizontal),t}(t),null==e?(this.reset(),[2,[]]):[2,[{maskValueToLabel:eF,mask:new eE((0,o.tidy)(function(){var t,n,a,s,i,c,u,l,p,f,d,h,m,g,v,_,x,y,b,k,j,w,I=(v=(t="general"===r.modelType?eN:eM).outputTensorSize,_=t.keepAspectRatio,x=t.borderMode,y=t.outputTensorFloatRange,j=function(e,t,r){if(void 0===r&&(r=!1),!r)return{top:0,left:0,right:0,bottom:0};var n=t.height,a=t.width;eI(t,"targetSize"),eI(e,"roi");var s,o,i=n/a,c=e.height/e.width,u=0,l=0;return i>c?(s=e.width,o=e.width*i,l=(1-c/i)/2):(s=e.height/i,o=e.height,u=(1-i/c)/2),e.width=s,e.height=o,{top:l,left:u,right:u,bottom:l}}((n=b=ew(e),k={xCenter:.5*n.width,yCenter:.5*n.height,width:n.width,height:n.height,rotation:0}),v,_),a=b.width,s=b.height,i=k.width,c=k.height,u=1,l=Math.cos(k.rotation),p=Math.sin(k.rotation),f=k.xCenter,d=k.yCenter,h=1/a,m=1/s,(g=Array(16))[0]=i*l*u*h,g[1]=-c*p*h,g[2]=0,g[3]=(-.5*i*l*u+.5*c*p+f)*h,g[4]=i*p*u*m,g[5]=c*l*m,g[6]=0,g[7]=(-.5*c*l-.5*i*p*u+d)*m,g[8]=0,g[9]=0,g[10]=i*h,g[11]=0,g[12]=0,g[13]=0,g[14]=0,g[15]=1,w=function(e){if(16!==e.length)throw Error("Array length must be 16 but got "+e.length);return[[e[0],e[1],e[2],e[3]],[e[4],e[5],e[6],e[7]],[e[8],e[9],e[10],e[11]],[e[12],e[13],e[14],e[15]]]}(g),{imageTensor:(0,o.tidy)(function(){var t,r=e instanceof o.Tensor?e:o.browser.fromPixels(e),n=(0,o.tensor2d)((eI(v,"inputResolution"),[1/v.width*w[0][0]*b.width,1/v.height*w[0][1]*b.width,w[0][3]*b.width,1/v.width*w[1][0]*b.height,1/v.height*w[1][1]*b.height,w[1][3]*b.height,0,0]),[1,8]),a=o.image.transform((0,o.expandDims)((0,o.cast)(r,"float32")),n,"bilinear","zero"===x?"constant":"nearest",0,[v.height,v.width]);return null!=y?(t=function(e,t){!1;var r=(t-e)/255;return{scale:r,offset:e-0*r}}(y[0],y[1]),(0,o.tidy)(function(){return(0,o.add)((0,o.mul)(a,t.scale),t.offset)})):a}),padding:j,transformationMatrix:w}).imageTensor,T=(0,o.slice)(r.model.predict(I),[0,0,0,1],-1),S=ew(e),N=(0,o.tidy)(function(){var e=(0,o.squeeze)(T,[0]),t=e.shape[2];if(1===t){var r=e;switch(eC.activation){case"none":break;case"sigmoid":r=(0,o.sigmoid)(r);break;case"softmax":throw Error("Softmax activation requires two channels.");default:throw Error("Activation not supported ("+eC.activation+")")}var n=S?o.image.resizeBilinear(r,[S.height,S.width]):r;return(0,o.squeeze)(n,[2])}throw Error("Unsupported number of tensor channels "+t)}),M=(0,o.expandDims)(N,2),C=(0,o.pad)(M,[[0,0],[0,0],[0,1]]);return(0,o.mirrorPad)(C,[[0,0],[0,0],[0,2]],"symmetric")}))}]]})})},e.prototype.dispose=function(){this.model.dispose()},e.prototype.reset=function(){},e}();function eP(e,t){return f(this,void 0,void 0,function(){var r,n;return d(this,function(a){switch(e){case eA.MediaPipeSelfieSegmentation:if(r=void 0,null!=(n=t)){if("tfjs"===n.runtime)return[2,function(e){return f(this,void 0,void 0,function(){var t,r,n;return d(this,function(a){switch(a.label){case 0:return r="string"==typeof(t=function(e){if(null==e)return p({},eT);var t=p({},e);if(t.runtime="tfjs",null==t.modelType&&(t.modelType=eT.modelType),"general"!==t.modelType&&"landscape"!==t.modelType)throw Error("Model type must be one of general or landscape, but got "+t.modelType);return null==t.modelUrl&&("general"===t.modelType?t.modelUrl="https://tfhub.dev/mediapipe/tfjs-model/selfie_segmentation/general/1":t.modelUrl="https://tfhub.dev/mediapipe/tfjs-model/selfie_segmentation/landscape/1"),t}(e)).modelUrl&&t.modelUrl.indexOf("https://tfhub.dev")>-1,[4,(0,i.loadGraphModel)(t.modelUrl,{fromTFHub:r})];case 1:return n=a.sent(),[2,new eR(t.modelType,n)]}})})}(n)];if("mediapipe"===n.runtime)return[2,function(e){return f(this,void 0,void 0,function(){var t;return d(this,function(r){switch(r.label){case 0:return[4,(t=new ej(function(e){if(null==e)return p({},ey);var t=p({},e);return t.runtime="mediapipe",null==t.modelType&&(t.modelType=ey.modelType),t}(e))).initialize()];case 1:return r.sent(),[2,t]}})})}(n)];r=n.runtime}throw Error("Expect modelConfig.runtime to be either 'tfjs' or 'mediapipe', but got "+r);case eA.BodyPix:return[2,function(e){return f(this,void 0,void 0,function(){return d(this,function(t){return[2,(function(e){return void 0===e&&(e=es),f(this,void 0,void 0,function(){return d(this,function(t){return"ResNet50"===(e=function(e){if(null==(e=e||es).architecture&&(e.architecture="MobileNetV1"),0>eo.indexOf(e.architecture))throw Error("Invalid architecture "+e.architecture+". Should be one of "+eo);if(null==e.outputStride&&(e.outputStride=16),0>ei[e.architecture].indexOf(e.outputStride))throw Error("Invalid outputStride "+e.outputStride+". Should be one of "+ei[e.architecture]+" for architecture "+e.architecture+".");if(null==e.multiplier&&(e.multiplier=1),0>ec[e.architecture].indexOf(e.multiplier))throw Error("Invalid multiplier "+e.multiplier+". Should be one of "+ec[e.architecture]+" for architecture "+e.architecture+".");if(null==e.quantBytes&&(e.quantBytes=4),0>eu.indexOf(e.quantBytes))throw Error("Invalid quantBytes "+e.quantBytes+". Should be one of "+eu+" for architecture "+e.architecture+".");return e}(e)).architecture?[2,function(e){return f(this,void 0,void 0,function(){var t,r,n;return d(this,function(a){switch(a.label){case 0:var s;if(t=e.outputStride,r=e.quantBytes,null==o)throw Error("Cannot find TensorFlow.js. If you are using a<script>tag, please also include @tensorflow/tfjs on the page before using this\n model.");return s="model-stride"+t+".json",n=4===r?X+"float/"+s:X+"quant"+r+"/"+s,[4,(0,i.loadGraphModel)(e.modelUrl||n)];case 1:return[2,new eh(new K(a.sent(),t))]}})})}(e)]:"MobileNetV1"===e.architecture?[2,function(e){return f(this,void 0,void 0,function(){var t,r,n,a;return d(this,function(s){switch(s.label){case 0:var c,u;if(t=e.outputStride,r=e.quantBytes,n=e.multiplier,null==o)throw Error("Cannot find TensorFlow.js. 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Make ")+"sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var e=this.initializeBackendsAndReturnBest(),t=e.name;if(e.asyncInit)throw Error("The highest priority backend '".concat(t,"' has not yet been ")+"initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(t)}return this.backendInstance}},{key:"backendNames",value:function(){return Object.keys(this.registryFactory)}},{key:"findBackend",value:function(e){if(!(e in this.registry)){if(!(e in this.registryFactory))return null;else if(this.initializeBackend(e).asyncInit)return null}return this.registry[e]}},{key:"findBackendFactory",value:function(e){return e in this.registryFactory?this.registryFactory[e].factory:null}},{key:"registerBackend",value:function(e,t){var r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1;return e in this.registryFactory?(m.warn("".concat(e," backend was already registered. 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t=this;(0,h.getKernelsForBackend)(e).forEach(function(r){null!=r.disposeFunc&&r.disposeFunc(t.registry[e])})}},{key:"initializeBackend",value:function(e){var t=this,r=this.registryFactory[e];if(null==r)throw Error("Cannot initialize backend ".concat(e,", no registration found."));try{var n=r.factory();if(!n||n instanceof l.KernelBackend||"function"!=typeof n.then)return this.registry[e]=n,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,s=n.then(function(r){return!(a<t.pendingBackendInitId)&&(t.registry[e]=r,t.pendingBackendInit=null,!0)}).catch(function(r){return!(a<t.pendingBackendInitId)&&(t.pendingBackendInit=null,m.warn("Initialization of backend ".concat(e," failed")),m.warn(r.stack||r.message),!1)});return this.pendingBackendInit=s,{success:s,asyncInit:!0}}catch(t){return m.warn("Initialization of backend ".concat(e," failed")),m.warn(t.stack||t.message),{success:!1,asyncInit:!1}}}},{key:"removeBackend",value:function(e){if(!(e in this.registryFactory))throw Error("".concat(e," backend not found in registry"));this.backendName===e&&null!=this.pendingBackendInit&&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)}},{key:"getSortedBackends",value:function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(t,r){return e.registryFactory[r].priority-e.registryFactory[t].priority})}},{key:"initializeBackendsAndReturnBest",value:function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var r=e[t],n=this.initializeBackend(r),a=n.success,s=n.asyncInit;if(s||a)return{name:r,asyncInit:s}}throw Error("Could not initialize any backends, all backend initializations failed.")}},{key:"moveData",value:function(e,t){var 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a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"real",function(){return c});var s=e("../engine"),o=e("../kernel_names"),i=e("../tensor_util_env"),c=(0,e("./operation").op)({real_:function(e){var t=(0,i.convertToTensor)(e,"input","real");return s.ENGINE.runKernel(o.Real,{input:t})}})},{"../engine":"196sS","../kernel_names":"eNhfn","../tensor_util_env":"gGMh6","./operation":"2e73h","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"9HQoY":[function(e,t,r,n){var a,s=e("@parcel/transformer-js/src/esmodule-helpers.js");s.defineInteropFlag(r),s.export(r,"fromPixelsAsync",function(){return y}),s.export(r,"toPixels",function(){return k}),s.export(r,"draw",function(){return j}),s.export(r,"fromPixels",function(){return w});var o=e("@swc/helpers/cjs/_async_to_generator.cjs"),i=e("@swc/helpers/cjs/_sliced_to_array.cjs"),c=e("@swc/helpers/cjs/_ts_generator.cjs"),u=e("../engine"),l=e("../environment"),p=e("../kernel_names"),f=e("../kernel_registry"),d=e("../tensor"),h=e("../tensor_util_env"),m=e("./cast"),g=e("./operation"),v=e("./tensor3d"),_=!1;function x(e){var t,r,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:3;if(n>4)throw Error("Cannot construct Tensor with more than 4 channels from pixels.");if(null==e)throw Error("pixels passed to tf.browser.fromPixels() can not be null");var s=!1,o=!1,c=!1,l=!1,d=!1,h=!1;if(e.data instanceof Uint8Array)s=!0;else if("u">typeof ImageData&&e instanceof ImageData)o=!0;else if("u">typeof HTMLVideoElement&&e instanceof HTMLVideoElement)c=!0;else if("u">typeof HTMLImageElement&&e instanceof HTMLImageElement)l=!0;else if(null!=e.getContext)d=!0;else if("u">typeof ImageBitmap&&e instanceof ImageBitmap)h=!0;else throw Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, "+"but was ".concat(e.constructor.name));if(null!=(0,f.getKernel)(p.FromPixels,u.ENGINE.backendName))return u.ENGINE.runKernel(p.FromPixels,{pixels:e},{numChannels:n});var m=(0,i._)(c?[e.videoWidth,e.videoHeight]:[e.width,e.height],2),g=m[0],_=m[1];if(d)t=e.getContext("2d").getImageData(0,0,g,_).data;else if(o||s)t=e.data;else if(l||c||h){if(null==a)if("u"<typeof document)if("u">typeof OffscreenCanvas&&"u">typeof OffscreenCanvasRenderingContext2D)a=new OffscreenCanvas(1,1).getContext("2d");else throw Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else a=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});a.canvas.width=g,a.canvas.height=_,a.drawImage(e,0,0,g,_),t=a.getImageData(0,0,g,_).data}if(4===n)r=new Int32Array(t);else{var x=g*_;r=new Int32Array(x*n);for(var y=0;y<x;y++)for(var b=0;b<n;++b)r[y*n+b]=t[4*y+b]}var k=[_,g,n];return(0,v.tensor3d)(r,k,"int32")}function y(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:3;return(0,o._)(function(){var r,n;return(0,c._)(this,function(a){switch(a.label){case 0:var s;if(r=null,!((0,l.env)().getBool("WRAP_TO_IMAGEBITMAP")&&"u">typeof window&&"u">typeof ImageBitmap&&window.hasOwnProperty("createImageBitmap")&&!(e instanceof ImageBitmap)&&null!=(s=e)&&0!==s.width&&0!==s.height&&!(null!=e&&e.data instanceof Uint8Array)))return[3,5];a.label=1;case 1:return a.trys.push([1,3,,4]),[4,createImageBitmap(e,{premultiplyAlpha:"none"})];case 2:return n=a.sent(),[3,4];case 3:return a.sent(),n=null,[3,4];case 4:return r=null!=n&&n.width===e.width&&n.height===e.height?n:e,[3,6];case 5:r=e,a.label=6;case 6:return[2,x(r,t)]}})})()}function b(e){if(2!==e.rank&&3!==e.rank)throw Error("toPixels only supports rank 2 or 3 tensors, got rank ".concat(e.rank,"."));var t=2===e.rank?1:e.shape[2];if(t>4||2===t)throw Error("toPixels only supports depth of size "+"1, 3 or 4 but got ".concat(t));if("float32"!==e.dtype&&"int32"!==e.dtype)throw Error("Unsupported type for toPixels: ".concat(e.dtype,".")+" Please use float32 or int32 tensors.")}function k(e,t){return(0,o._)(function(){var r,n,a,s,o,l,g,v,x,y,k,j,w,I,T,S;return(0,c._)(this,function(c){switch(c.label){case 0:return r=(0,h.convertToTensor)(e,"img","toPixels"),e instanceof d.Tensor||(n=r,r=(0,m.cast)(n,"int32"),n.dispose()),b(r),s=(a=(0,i._)(r.shape.slice(0,2),2))[0],o=a[1],l=2===r.rank?1:r.shape[2],[4,r.data()];case 1:for(y=0,g=c.sent(),v="float32"===r.dtype?255:1,x=new Uint8ClampedArray(o*s*4);y<s*o;++y){for(j=0,k=[0,0,0,255];j<l;j++){if(w=g[y*l+j],"float32"===r.dtype){if(w<0||w>1)throw Error("Tensor values for a float32 Tensor must be in the "+"range [0 - 1] but encountered ".concat(w,"."))}else if("int32"===r.dtype&&(w<0||w>255))throw Error("Tensor values for a int32 Tensor must be in the "+"range [0 - 255] but encountered ".concat(w,"."));1===l?(k[0]=w*v,k[1]=w*v,k[2]=w*v):k[j]=w*v}x[(I=4*y)+0]=Math.round(k[0]),x[I+1]=Math.round(k[1]),x[I+2]=Math.round(k[2]),x[I+3]=Math.round(k[3])}return null!=t&&(_||null!=(0,f.getKernel)(p.Draw,u.ENGINE.backendName)&&(console.warn("tf.browser.toPixels is not efficient to draw tensor on canvas. Please try tf.browser.draw instead."),_=!0),t.width=o,t.height=s,T=t.getContext("2d"),S=new ImageData(x,o,s),T.putImageData(S,0,0)),r!==e&&r.dispose(),[2,x]}})})()}function j(e,t,r){var n=(0,h.convertToTensor)(e,"img","draw");if(!(e instanceof d.Tensor)){var a=n;n=(0,m.cast)(a,"int32"),a.dispose()}b(n);var s=null==r?void 0:r.imageOptions,o=(null==s?void 0:s.alpha)||1;if(o>1||o<0)throw Error("Alpha value ".concat(o," is suppoed to be in range [0 - 1]."));var i={image:n};u.ENGINE.runKernel(p.Draw,i,{canvas:t,options:r})}var w=(0,g.op)({fromPixels_:x})},{"@swc/helpers/cjs/_async_to_generator.cjs":"cZn0e","@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@swc/helpers/cjs/_ts_generator.cjs":"eltGh","../engine":"196sS","../environment":"bJoCx","../kernel_names":"eNhfn","../kernel_registry":"kxOzH","../tensor":"6gbjA","../tensor_util_env":"gGMh6","./cast":"lsee3","./operation":"2e73h","./tensor3d":"lxX7t","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],lxX7t:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"tensor3d",function(){return c});var s=e("../tensor_util_env"),o=e("../util"),i=e("./tensor_ops_util");function c(e,t,r){if((0,o.assertNonNull)(e),null!=t&&3!==t.length)throw Error("tensor3d() requires shape to have three numbers");var n=(0,s.inferShape)(e,r);if(3!==n.length&&1!==n.length)throw Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===n.length&&null==t)throw Error("tensor3d() requires shape to be provided when `values` are a flat array");return(0,i.makeTensor)(e,t,n,r)}},{"../tensor_util_env":"gGMh6","../util":"3jQov","./tensor_ops_util":"h8l3u","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],axJmI:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"prepareAndValidate",function(){return i});var s=e("@swc/helpers/cjs/_to_consumable_array.cjs"),o=e("../util");function i(e,t){var r=e.shape.length,n=t.shape.length;if(r<1)throw Error("tf.gatherND() expects the input to be rank 1 or higher,"+" but the rank was ".concat(r,"."));if(n<1)throw Error("tf.gatherND() expects the indices to be rank 1 or higher,"+" but the rank was ".concat(n,"."));if("int32"!==t.dtype)throw Error("tf.gatherND() expects the indices to be int32 type,"+" but the dtype was ".concat(t.dtype,"."));if(t.shape[n-1]>r)throw Error("index innermost dimension length must be<= tensor rank; saw: "+"".concat(t.shape[n-1]," vs. ").concat(r));if(0===(0,o.sizeFromShape)(e.shape))throw Error("Requested more than 0 entries, but input is empty."+" Input shape: ".concat(e.shape,"."));for(var a=t.shape,i=a[a.length-1],c=1,u=0;u<a.length-1;++u)c*=a[u];var l=e.shape,p=a.slice();p.pop();for(var f=1,d=i;d<r;++d)f*=l[d],p.push(l[d]);var h=(0,s._)((0,o.computeStrides)(e.shape).map(function(e){return e/f})).concat([1]).slice(0,i);return[p,c,f,h]}},{"@swc/helpers/cjs/_to_consumable_array.cjs":"i81N6","../util":"3jQov","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],dXk24:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"validateUpdateShape",function(){return i}),a.export(r,"validateInput",function(){return c}),a.export(r,"calculateShapes",function(){return u});var s=e("@swc/helpers/cjs/_to_consumable_array.cjs"),o=e("../util");function i(e,t,r){var n=t.rank>1?t.shape[t.rank-1]:1,a=t.rank>1?t.rank-1:1,s="Must have updates.shape = indices.shape[:batchDim] + "+"shape[sliceDim:], got updates.shape: ".concat(r.shape)+", indices.shape: ".concat(t.shape,", shape: ").concat(e)+", sliceDim: ".concat(n,", and batchDim: ").concat(a,".");if(r.rank<a)throw Error(s+" update.rank < ".concat(a,". "));if(e.length<n+(r.rank-a))throw Error(s+" Output shape length < ".concat(n+(r.rank-a)));if(r.rank!==a+e.length-n)throw Error(s+" update.rank != ".concat(a+e.length-n));for(var o=0;o<a;++o)if(r.shape[o]!==t.shape[o])throw Error(s+" updates.shape[".concat(o,"] (").concat(r.shape[o],") != indices.shape[").concat(o,"] (").concat(t.shape[o],")."));for(var i=0;i<r.rank-a;++i)if(r.shape[i+a]!==e[i+n])throw Error(s+" updates.shape[".concat(i+a,"] (").concat(r.shape[i+a],") != shape[").concat(i+a,"] (").concat(e[i+a],")"))}function c(e,t,r){if(t.rank<1)throw Error("tf.scatterND() expects the indices to be rank 1 or higher,"+" but the rank was ".concat(t.rank,"."));if(e.rank<1)throw Error("tf.scatterND() expects the updates to be rank 1 or higher,"+" but the rank was ".concat(e.rank,"."));if("int32"!==t.dtype)throw Error("The dtype of 'indices' should be int32, but got dtype: ".concat(t.dtype));if(r.length<1)throw Error("Output rank must be greater or equal to 1, but got shape: ".concat(r));if(0===r.length){if(0===t.size)throw Error("Indices specified for empty output. indices shape: ".concat(t.shape));if(0===e.size)throw Error("Updates specified for empty output. updates shape: ".concat(e.shape))}i(r,t,e)}function u(e,t,r){for(var n=t.shape.length,a=n>1?t.shape[n-1]:1,i=r.length,c=1,u=a;u<i;++u)c*=r[u];var l=a<1?1:a,p=(0,o.sizeFromShape)(t.shape)/l,f=(0,s._)((0,o.computeStrides)(r.slice(0,a))).concat([1]);return{sliceRank:a,numUpdates:p,sliceSize:c,strides:f,outputSize:(0,o.sizeFromShape)(r)}}},{"@swc/helpers/cjs/_to_consumable_array.cjs":"i81N6","../util":"3jQov","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"9JvGP":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"assertParamsValid",function(){return i}),a.export(r,"maskToAxes",function(){return c}),a.export(r,"computeOutShape",function(){return u}),a.export(r,"stridesWithElidedDims",function(){return 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r=e.length>0?e[e.length-1]:1,n=0;n<e.length-1;n++)r+=e[n]*t[n];return r}function y(e,t,r){var n,a,i=e.shape.length;return(n="number"==typeof t?[t].concat((0,s._)(Array(i-1).fill(0))):t.length<i?t.concat(Array(i-t.length).fill(0)):t.slice()).forEach(function(e){o.assert(-1!==e,function(){return"slice() does not support negative begin indexing."})}),a=(a=null==r?Array(i).fill(-1):"number"==typeof r?[r].concat((0,s._)(Array(i-1).fill(-1))):r.length<i?r.concat(Array(i-r.length).fill(-1)):r).map(function(t,r){return t>=0?t:(o.assert(-1===t,function(){return"Negative size values should be exactly -1 but got "+"".concat(t," for the slice() size at index ").concat(r,".")}),e.shape[r]-n[r])}),[n,a]}function b(e,t,r,n,a,s,o,i,c){if(null==n?(u=Array(t.length)).fill(1):u=n,null!=o&&(o&o-1)!=0)throw Error("Multiple ellipses in slice is not allowed.");for(var 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"+"Got strides ".concat(r," and dilations '").concat(l,"'")}),c.assert("NDHWC"===a,function(){return"Error in conv3d: got dataFormat of ".concat(a," but only NDHWC is currently supported.")}),c.assert((0,u.stridesOrDilationsArePositive)(l),function(){return"Error in conv3D: Dilated rates should be larger than 0."}),c.assert((0,u.stridesOrDilationsArePositive)(r),function(){return"Error in conv3D: Strides should be larger than 0."});var g={x:h,filter:d},v=s.ENGINE.runKernel(o.Conv3D,g,{strides:r,pad:n,dataFormat:a,dilations:l});return m?(0,p.reshape)(v,[v.shape[1],v.shape[2],v.shape[3],v.shape[4]]):v}})},{"../engine":"196sS","../kernel_names":"eNhfn","../tensor_util_env":"gGMh6","../util":"pzc9n","./conv_util":"EtnDJ","./operation":"2e73h","./reshape":"7YgE0","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],l4qw1:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"conv3dTranspose",function(){return i});var s=e("../tensor_util_env"),o=e("./conv3d_backprop_input"),i=(0,e("./operation").op)({conv3dTranspose_:function(e,t,r,n,a){var i=(0,s.convertToTensor)(e,"x","conv3dTranspose"),c=(0,s.convertToTensor)(t,"filter","conv3dTranspose");return(0,o.conv3DBackpropInput)(r,i,c,n,a)}})},{"../tensor_util_env":"gGMh6","./conv3d_backprop_input":"9zFJ9","./operation":"2e73h","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"9zFJ9":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"conv3DBackpropInput",function(){return l});var s=e("../engine"),o=e("../kernel_names"),i=e("../util"),c=e("./operation"),u=e("./reshape"),l=(0,c.op)({conv3DBackpropInput_:function(e,t,r,n,a){i.assert(e.length===t.rank,function(){return"Length of inShape "+"(".concat(e.length,") and rank of dy (").concat(t.rank,") must match")});var c=e,l=t,p=!1;4===t.rank&&(p=!0,l=(0,u.reshape)(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),c=[1,e[0],e[1],e[2],e[3]]);var f=c[4],d=l.shape[4];i.assert(5===c.length,function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+"".concat(c.length,".")}),i.assert(5===l.rank,function(){return"Error in conv3dDerInput: dy must be rank 5, but got "+"rank ".concat(l.rank)}),i.assert(5===r.rank,function(){return"Error in conv3dDerInput: filter must be rank 5, but got "+"rank ".concat(r.rank)}),i.assert(f===r.shape[3],function(){return"Error in conv3dDerInput: depth of input (".concat(f,") must ")+"match input depth for filter ".concat(r.shape[3],".")}),i.assert(d===r.shape[4],function(){return"Error in conv3dDerInput: depth of output (".concat(d,") must ")+"match output depth for filter ".concat(r.shape[4],".")});var h={dy:l,filter:r},m={pad:a,strides:n,inputShape:c},g=s.ENGINE.runKernel(o.Conv3DBackpropInputV2,h,m);return p?(0,u.reshape)(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}})},{"../engine":"196sS","../kernel_names":"eNhfn","../util":"pzc9n","./operation":"2e73h","./reshape":"7YgE0","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"6rpPw":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"cos",function(){return c});var s=e("../engine"),o=e("../kernel_names"),i=e("../tensor_util_env"),c=(0,e("./operation").op)({cos_:function(e){var t=(0,i.convertToTensor)(e,"x","cos","float32");return s.ENGINE.runKernel(o.Cos,{x:t})}})},{"../engine":"196sS","../kernel_names":"eNhfn","../tensor_util_env":"gGMh6","./operation":"2e73h","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"77s1k":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"cosh",function(){return c});var s=e("../engine"),o=e("../kernel_names"),i=e("../tensor_util_env"),c=(0,e("./operation").op)({cosh_:function(e){var t=(0,i.convertToTensor)(e,"x","cosh","float32");return s.ENGINE.runKernel(o.Cosh,{x:t})}})},{"../engine":"196sS","../kernel_names":"eNhfn","../tensor_util_env":"gGMh6","./operation":"2e73h","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"8zkrh":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"cumprod",function(){return c});var s=e("../engine"),o=e("../kernel_names"),i=e("../tensor_util_env"),c=(0,e("./operation").op)({cumprod_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=(0,i.convertToTensor)(e,"x","cumprod");return s.ENGINE.runKernel(o.Cumprod,{x:a},{axis:t,exclusive:r,reverse:n})}})},{"../engine":"196sS","../kernel_names":"eNhfn","../tensor_util_env":"gGMh6","./operation":"2e73h","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],gvbvJ:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"cumsum",function(){return c});var s=e("../engine"),o=e("../kernel_names"),i=e("../tensor_util_env"),c=(0,e("./operation").op)({cumsum_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=(0,i.convertToTensor)(e,"x","cumsum");return s.ENGINE.runKernel(o.Cumsum,{x:a},{axis:t,exclusive:r,reverse:n})}})},{"../engine":"196sS","../kernel_names":"eNhfn","../tensor_util_env":"gGMh6","./operation":"2e73h","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"7kPKF":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"denseBincount",function(){return u});var s=e("../engine"),o=e("../kernel_names"),i=e("../tensor_util_env"),c=e("../util"),u=(0,e("./operation").op)({denseBincount_:function(e,t,r){var n=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=(0,i.convertToTensor)(e,"x","denseBincount"),u=(0,i.convertToTensor)(t,"weights","denseBincount");return c.assert("int32"===a.dtype,function(){return"Error in denseBincount: input "+"dtype must be int32, but got ".concat(a.dtype)}),c.assert(a.rank<=2,function(){return"Error in denseBincount: input must be at most rank 2, but got "+"rank ".concat(a.rank,".")}),c.assert(r>=0,function(){return"size must be non-negative, but got ".concat(r,".")}),c.assert(u.size===a.size||0===u.size,function(){return"Error in denseBincount: weights must have the same shape as x or "+"0-length, but got x shape: ".concat(a.shape,", weights shape: 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s=e("../engine"),o=e("../kernel_names"),i=e("../tensor_util_env"),c=e("../util"),u=e("./conv_util"),l=e("./operation"),p=e("./reshape"),f=(0,l.op)({depthwiseConv2d_:function(e,t,r,n){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"NHWC",l=arguments.length>5&&void 0!==arguments[5]?arguments[5]:[1,1],f=arguments.length>6?arguments[6]:void 0,d=(0,i.convertToTensor)(e,"x","depthwiseConv2d","float32"),h=(0,i.convertToTensor)(t,"filter","depthwiseConv2d","float32"),m=d,g=!1;3===d.rank&&(g=!0,m=(0,p.reshape)(d,[1,d.shape[0],d.shape[1],d.shape[2]])),c.assert(4===m.rank,function(){return"Error in depthwiseConv2d: input must be rank 4, but got "+"rank ".concat(m.rank,".")}),c.assert(4===h.rank,function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+"".concat(h.rank,".")});var v="NHWC"===a?m.shape[3]:m.shape[1];c.assert(v===h.shape[2],function(){return"Error in depthwiseConv2d: number of input channels "+"(".concat(v,") must match the inChannels dimension in ")+"filter ".concat(h.shape[2],".")}),u.checkPadOnDimRoundingMode("depthwiseConv2d",n,f);var _={x:m,filter:h},x=s.ENGINE.runKernel(o.DepthwiseConv2dNative,_,{strides:r,pad:n,dataFormat:a,dilations:l,dimRoundingMode:f});return g?(0,p.reshape)(x,[x.shape[1],x.shape[2],x.shape[3]]):x}})},{"../engine":"196sS","../kernel_names":"eNhfn","../tensor_util_env":"gGMh6","../util":"pzc9n","./conv_util":"EtnDJ","./operation":"2e73h","./reshape":"7YgE0","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],k6wmG:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"diag",function(){return c});var s=e("../engine"),o=e("../kernel_names"),i=e("../tensor_util_env"),c=(0,e("./operation").op)({diag_:function(e){var t=(0,i.convertToTensor)(e,"x","diag");return 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a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"depthwiseConv2d",function(){return b});var s=e("@swc/helpers/cjs/_sliced_to_array.cjs"),o=e("../../engine"),i=e("../../gradients"),c=e("../../kernel_names"),u=e("../../tensor_util"),l=e("../../tensor_util_env"),p=e("../../util"),f=e("../add"),d=e("../broadcast_util"),h=e("../conv_util"),m=e("../depthwise_conv2d"),g=e("../depthwise_conv2d_native_backprop_filter"),v=e("../depthwise_conv2d_native_backprop_input"),_=e("../fused_util"),x=e("../operation"),y=e("../reshape"),b=(0,x.op)({fusedDepthwiseConv2d_:function(e){var t,r,n=e.x,a=e.filter,x=e.strides,b=e.pad,k=e.dataFormat,j=void 0===k?"NHWC":k,w=e.dilations,I=void 0===w?[1,1]:w,T=e.dimRoundingMode,S=e.bias,N=e.activation,M=void 0===N?"linear":N,C=e.preluActivationWeights,E=e.leakyreluAlpha;if(!1===(0,_.shouldFuse)(o.ENGINE.state.gradientDepth,M)){var F=(0,m.depthwiseConv2d)(n,a,x,b,j,I,T);return null!=S&&(F=(0,f.add)(F,S)),(0,_.applyActivation)(F,M,C,E)}var A=(0,l.convertToTensor)(n,"x","depthwiseConv2d","float32"),R=(0,l.convertToTensor)(a,"filter","depthwiseConv2d","float32"),P=A,O=!1;3===A.rank&&(O=!0,P=(0,y.reshape)(A,[1,A.shape[0],A.shape[1],A.shape[2]])),p.assert(4===P.rank,function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got "+"rank ".concat(P.rank,".")}),p.assert(4===R.rank,function(){return"Error in fused depthwiseConv2d: filter must be rank 4, "+"but got rank ".concat(R.rank,".")}),p.assert(P.shape[3]===R.shape[2],function(){return"Error in fused depthwiseConv2d: number of input channels "+"(".concat(P.shape[3],") must match the inChannels dimension in ")+"filter ".concat(R.shape[2],".")}),null==I&&(I=[1,1]),p.assert(h.eitherStridesOrDilationsAreOne(x,I),function(){return"Error in fused depthwiseConv2d: Either strides or dilations must "+"be 1. 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if(null!=this.loadOptions.requestInit)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{var t=this.io.getLoadHandlers(e,this.loadOptions);if(0===t.length)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw Error("Found more than one (".concat(t.length,") load handlers for ")+"URL '".concat([e],"'"));this.handler=t[0]}}},{key:"load",value:function(){var e=this;if(this.findIOHandler(),null==this.handler.load)throw Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");var t=this.handler.load();return l.util.isPromise(t)?t.then(function(t){return null==t.getWeightStream?e.loadSync(t):e.loadStreaming(t)}):this.loadSync(t)}},{key:"loadSync",value:function(e){var t=this.io.decodeWeights(e.weightData,e.weightSpecs);return this.loadWithWeightMap(e,t)}},{key:"loadStreaming",value:function(e){return(0,s._)(function(){var t;return(0,u._)(this,function(r){switch(r.label){case 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s=p.OperationMapper.Instance.transformGraph(e.modelInitializer);this.initializer=new(0,f.GraphExecutor)(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}},{key:"save",value:function(e,t){return(0,s._)(function(){var t;return(0,u._)(this,function(r){if("string"==typeof e){if(0===(t=this.io.getSaveHandlers(e)).length)throw Error("Cannot find any save handlers for URL '".concat(e,"'"));if(t.length>1)throw Error("Found more than one (".concat(t.length,") save handlers for ")+"URL '".concat(e,"'"));e=t[0]}if(null==e.save)throw Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,e.save(this.artifacts)]})}).call(this)}},{key:"addStructuredOutputNames",value:function(e){var t=this;if(this.structuredOutputKeys){var r=e instanceof l.Tensor?[e]:e,n={};return r.forEach(function(e,r){return 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r.join(this.SEPARATOR)+"--"+n.join(this.SEPARATOR)}},{key:"compile",value:function(e,t){var r=(0,m.getExecutionSubgraph)(e,t,this.weightMap,this._initNodes),n=r.missingInputs,a=r.dynamicNode,s=r.syncInputs;if(null!=a)throw Error("This execution contains the node '".concat(a.name,"', which has ")+"the dynamic op '".concat(a.op,"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+"dynamic ops, specify the inputs [".concat(s,"]"));if(n.length>0){var o=t.map(function(e){return e.name}),i=Object.keys(e);throw Error("Cannot compute the outputs [".concat(o,"] from the provided inputs ")+"[".concat(i,"]. Missing the following inputs: [").concat(n,"]"))}var c=(0,m.getNodesInTopologicalOrder)(this.graph,r),u=(0,m.getNodeLiveUntilMap)(c);return{orderedNodes:c,nodeLiveUntilMap:u}}},{key:"cloneAndKeepTensor",value:function(e){if(null==e)return null;var t=e.clone();return(0,p.keep)(t),t}},{key:"cloneTensorList",value:function(e){var t=this;return e?e.map(function(e){return t.cloneAndKeepTensor(e)}):null}},{key:"cloneTensorMap",value:function(e){var t=this;return Object.fromEntries(Object.entries(e).map(function(e){var r=(0,c._)(e,2),n=r[0],a=r[1];return[n,t.cloneTensorList(a)]}))}},{key:"execute",value:function(e,t){var r=this;this.disposeIntermediateTensors();var n=Object.keys(e=this.mapInputs(e)).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var a=n.map(function(e){return r.graph.nodes[(0,f.parseNodeName)(e)[0]]}),s=t.map(function(e){return(0,f.parseNodeName)(e)[0]}),o=new Set(s),i=s.map(function(e){return r.graph.nodes[e]});0===i.length&&(i=this._outputs);var u=this.getCompilationKey(a,i),l=this.compiledMap.get(u);null==l&&(l=this.compile(e,i),this.compiledMap.set(u,l));try{this.keepIntermediateTensors=(0,p.env)().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var m={},g={};return(0,p.tidy)(function(){var n=new(0,h.ExecutionContext)(r.weightMap,m,g,r.functionExecutorMap,r.parseNodeNameCache),a=Object.assign({},r.weightMap);r.keepIntermediateTensors&&(r.clonedTensorsMap=r.cloneTensorMap(r.weightMap)),Object.keys(e).forEach(function(t){var s=(0,c._)((0,f.parseNodeName)(t,n),2),o=s[0],i=s[1],u=[];u[i]=e[t],a[o]=u,r.keepIntermediateTensors&&(r.clonedTensorsMap[o]=r.cloneTensorList(u))});var s=r.getFrozenTensorIds(a),i=l.orderedNodes,u=l.nodeLiveUntilMap,v=!0,_=!1,x=void 0;try{for(var y,b=i[Symbol.iterator]();!(v=(y=b.next()).done);v=!0){var k=y.value;if(!a[k.name]){var j=(0,d.executeOp)(k,a,n,r._resourceManager);if(p.util.isPromise(j))throw Error("The execution of the op '".concat(k.op,"' returned a promise. ")+"Please use model.executeAsync() instead.");a[k.name]=j,r.keepIntermediateTensors&&(r.clonedTensorsMap[k.name]=r.cloneTensorList(j)),r.checkTensorForDisposalWithNodeLiveUntilInfo(k,a,n,s,o,u.get(k.name))}}}catch(e){_=!0,x=e}finally{try{v||null==b.return||b.return()}finally{if(_)throw x}}return null==r.parent&&n.dispose(s),t.map(function(e){return(0,f.getTensor)(e,a,n)})})}},{key:"getFrozenTensorIds",value:function(e){return new Set([].concat.apply([],Object.keys(e).map(function(t){return e[t]}).map(function(e){return e.map(function(e){return e.id})})))}},{key:"checkTensorForDisposal",value:function(e,t,r,n,a,s,o){if(!((0,m.isControlFlow)(t)||s.has(e))){var i=!0,c=!1,u=void 0;try{for(var l,p=r[e][Symbol.iterator]();!(i=(l=p.next()).done);i=!0){var d=l.value;null!=d&&(o[d.id]=(o[d.id]||0)+t.children.length)}}catch(e){c=!0,u=e}finally{try{i||null==p.return||p.return()}finally{if(c)throw u}}var h=!0,g=!1,v=void 0;try{for(var _,x=t.inputs[Symbol.iterator]();!(h=(_=x.next()).done);h=!0){var y=_.value;if(!(0,m.isControlFlow)(y)){var b=(0,f.getTensorsForCurrentContext)(y.name,r,n);if(null!=b){var k=!0,j=!1,w=void 0;try{for(var I,T=b[Symbol.iterator]();!(k=(I=T.next()).done);k=!0){var S=I.value;if(!(!S||S.kept||a.has(S.id))){var N=o[S.id];1===N?(S.dispose(),delete o[S.id]):null!=N&&o[S.id]--}}}catch(e){j=!0,w=e}finally{try{k||null==T.return||T.return()}finally{if(j)throw w}}}}}}catch(e){g=!0,v=e}finally{try{h||null==x.return||x.return()}finally{if(g)throw v}}}}},{key:"checkTensorForDisposalWithNodeLiveUntilInfo",value:function(e,t,r,n,a,s){if(!(0,m.isControlFlow)(e)&&null!=s){var o=!0,i=!1,c=void 0;try{for(var u,l=s[Symbol.iterator]();!(o=(u=l.next()).done);o=!0){var p=u.value;if(!((0,m.isControlFlow)(p)||a.has(p.name))){var d=(0,f.getTensorsForCurrentContext)(p.name,t,r),h=!0,g=!1,v=void 0;try{for(var _,x=d[Symbol.iterator]();!(h=(_=x.next()).done);h=!0){var y=_.value;!y||y.kept||n.has(y.id)||y.dispose()}}catch(e){g=!0,v=e}finally{try{h||null==x.return||x.return()}finally{if(g)throw v}}}}}catch(e){i=!0,c=e}finally{try{o||null==l.return||l.return()}finally{if(i)throw c}}}}},{key:"executeAsync",value:function(e,t){return(0,s._)(function(){return(0,l._)(this,function(r){return[2,this._executeAsync(e,t)]})}).call(this)}},{key:"disposeIntermediateTensors",value:function(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach(function(e){var t=!0,r=!1,n=void 0;try{for(var a,s=e[Symbol.iterator]();!(t=(a=s.next()).done);t=!0){var o=a.value;o&&!o.isDisposed&&o.dispose()}}catch(e){r=!0,n=e}finally{try{t||null==s.return||s.return()}finally{if(r)throw n}}}),this.clonedTensorsMap=null)}},{key:"getIntermediateTensors",value:function(){return this.clonedTensorsMap}},{key:"_executeAsync",value:function(e,t){return(0,s._)(function(e,t){var r,n,a,s,o,i,c,d,m,g=arguments;return(0,l._)(this,function(l){switch(l.label){case 0:r=g.length>2&&void 0!==g[2]&&g[2],n=g.length>3&&void 0!==g[3]?g[3]:{},a=g.length>4&&void 0!==g[4]?g[4]:{},this.disposeIntermediateTensors(),r||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));try{this.keepIntermediateTensors=(0,p.env)().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return s=new(0,h.ExecutionContext)(this.weightMap,n,a,this.functionExecutorMap,this.parseNodeNameCache),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),[4,this.executeWithControlFlow(e,s,t,r)];case 1:return o=l.sent(),c=(i=t.map(function(e){return(0,f.getTensor)(e,o,s)})).map(function(e){return e.id}),d=Object.keys(e).map(function(t){return e[t].id}),m=new Set((0,u._)(c).concat((0,u._)(d),(0,u._)(this.weightIds))),Object.values(o).forEach(function(e){e.forEach(function(e){!e||e.isDisposed||m.has(e.id)||e.dispose()})}),null==this.parent&&s.dispose(m),[2,i]}})}).apply(this,arguments)}},{key:"executeFunctionAsync",value:function(e,t,r){return(0,s._)(function(){var n,a;return(0,l._)(this,function(s){return n=this,a=e.reduce(function(e,t,r){return e[n.inputs[r].name]=t,e},{}),[2,this._executeAsync(a,this.outputNodes,!0,t,r)]})}).call(this)}},{key:"executeWithControlFlow",value:function(e,t,r,n){return(0,s._)(function(){var a,s,o,i,p,d,h,g,v,_,x,y,b,k,j,w,I,T;return(0,l._)(this,function(l){switch(l.label){case 0:a=this,o=(s=Object.keys(e)).map(function(e){return a.graph.nodes[(0,f.parseNodeName)(e)[0]]}),p=new Set(i=r.map(function(e){return(0,f.parseNodeName)(e)[0]})),0===(d=i.map(function(e){return a.graph.nodes[e]})).length&&(d=this._outputs),g=(h=(0,m.getExecutionSubgraph)(e,d,this.weightMap,this._initNodes)).usedNodes,v=h.missingInputs,_=h.dynamicNode,x=h.syncInputs,y=(0,u._)(o).concat((0,u._)(this.graph.weights),(0,u._)(this._initNodes||[])).map(function(e){return{node:e,contexts:t.currentContext}}),b=Object.assign({},this.weightMap),Object.keys(e).forEach(function(t){var r=(0,c._)((0,f.parseNodeName)(t),2),n=r[0],a=r[1],s=[];s[a]=e[t],b[n]=s}),k={},j=this.getFrozenTensorIds(b),w={},l.label=1;case 1:if(!(y.length>0))return[3,3];return[4,Promise.all(this.processStack(o,y,t,b,w,j,p,k,g))];case 2:return l.sent(),[3,1];case 3:if(null!=_||n||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(I=d.filter(function(e){return!(0,m.isControlFlow)(e)&&!(0,f.getTensor)(e.name,b,t)}).map(function(e){return e.name})).length>0)throw T="",null!=_&&(T="Alternatively, to avoid the dynamic ops, use model.execute() "+"and specify the inputs [".concat(x,"]")),Error("Cannot compute the outputs [".concat(I,"] from the provided ")+"inputs [".concat(s,"]. Consider providing the following inputs: ")+"[".concat(v,"]. ").concat(T));return[2,b]}})}).call(this)}},{key:"processStack",value:function(e,t,r,n,a,s,o,i,u){for(var l,h=this,m=[];t.length>0;)l=this,function(){var e=t.pop();r.currentContext=e.contexts;var g="";if("Enter"===e.node.op&&(0,f.getParamValue)("isConstant",e.node,n,r)&&(g=(0,c._)((0,f.getNodeNameAndIndex)(e.node.name,r),1)[0]),null==n[e.node.name]){var v=(0,d.executeOp)(e.node,n,r,l._resourceManager);g||(g=(0,c._)((0,f.getNodeNameAndIndex)(e.node.name,r),1)[0]);var _=r.currentContext;p.util.isPromise(v)?m.push(v.then(function(c){return n[g]=c,h.keepIntermediateTensors&&(h.clonedTensorsMap[g]=h.cloneTensorList(c)),r.currentContext=_,h.checkTensorForDisposal(g,e.node,n,r,s,o,i),h.processChildNodes(e.node,t,r,n,a,u),c})):(n[g]=v,l.keepIntermediateTensors&&(l.clonedTensorsMap[g]=l.cloneTensorList(v)),l.checkTensorForDisposal(g,e.node,n,r,s,o,i),l.processChildNodes(e.node,t,r,n,a,u))}else l.processChildNodes(e.node,t,r,n,a,u)}();return m}},{key:"processChildNodes",value:function(e,t,r,n,a,s){e.children.forEach(function(e){var o=(0,c._)((0,f.getNodeNameAndIndex)(e.name,r),1)[0];!a[o]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some(function(e){return!!(0,f.getTensor)(e,n,r)})&&(a[o]=!0,t.push({contexts:r.currentContext,node:e})):e.inputNames.every(function(e){return!!(0,f.getTensor)(e,n,r)})&&(a[o]=!0,t.push({contexts:r.currentContext,node:e})))})}},{key:"dispose",value:function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})}},{key:"checkInputShapeAndType",value:function(e){var t=this;Object.keys(e).forEach(function(r){var n=e[r],a=(0,c._)((0,f.parseNodeName)(r),1)[0],s=t.graph.nodes[a];if(s.attrParams.shape&&s.attrParams.shape.value){var o=s.attrParams.shape.value,i=o.length===n.shape.length&&n.shape.every(function(e,t){return -1===o[t]||o[t]===e});p.util.assert(i,function(){return"The shape of dict['".concat(s.name,"'] provided in ")+"model.execute(dict) must be [".concat(o,"], but was ")+"[".concat(n.shape,"]")})}s.attrParams.dtype&&s.attrParams.dtype.value&&p.util.assert(n.dtype===s.attrParams.dtype.value,function(){return"The dtype of dict['".concat(s.name,"'] provided in ")+"model.execute(dict) must be "+"".concat(s.attrParams.dtype.value,", but was ").concat(n.dtype)})})}},{key:"mapInputs",value:function(e){var t,r,n={};for(var a in e){var s=null==(r=null==(t=this._signature)?void 0:t.inputs)?void 0:r[a];null!=s?n[s.name]=e[a]:n[a]=e[a]}return n}},{key:"checkInputs",value:function(e){var t=this,r=Object.keys(e).filter(function(e){var r=(0,c._)((0,f.parseNodeName)(e),1)[0];return null==t.graph.nodes[r]});if(r.length>0)throw Error("The dict provided in model.execute(dict) has "+"keys: [".concat(r,"] that are not part of graph"))}},{key:"mapOutputs",value:function(e){var t=this;return e.map(function(e){var r,n,a=null==(n=null==(r=t._signature)?void 0:r.outputs)?void 0:n[e];return null!=a?a.name:e},{})}},{key:"checkOutputs",value:function(e){var t=this;e.forEach(function(e){var r=(0,c._)((0,f.parseNodeName)(e),1)[0];if(!t.graph.nodes[r])throw Error("The output '".concat(e,"' is not found in the graph"))})}}]),e}()},{"@swc/helpers/cjs/_async_to_generator.cjs":"cZn0e","@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_create_class.cjs":"igUuK","@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@swc/helpers/cjs/_to_consumable_array.cjs":"i81N6","@swc/helpers/cjs/_ts_generator.cjs":"eltGh","@tensorflow/tfjs-core":"aOH7b","../operations/executors/utils":"iVfKK","../operations/operation_executor":"b5Pis","./execution_context":"jHfQa","./model_analysis":"132yy","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],b5Pis:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"executeOp",function(){return N});var s=e("@tensorflow/tfjs-core"),o=e("./custom_op/node_value_impl"),i=e("./custom_op/register"),c=e("./executors/arithmetic_executor"),u=e("./executors/basic_math_executor"),l=e("./executors/control_executor"),p=e("./executors/convolution_executor"),f=e("./executors/creation_executor"),d=e("./executors/dynamic_executor"),h=e("./executors/evaluation_executor"),m=e("./executors/graph_executor"),g=e("./executors/hash_table_executor"),v=e("./executors/image_executor"),_=e("./executors/logical_executor"),x=e("./executors/matrices_executor"),y=e("./executors/normalization_executor"),b=e("./executors/ragged_executor"),k=e("./executors/reduction_executor"),j=e("./executors/slice_join_executor"),w=e("./executors/sparse_executor"),I=e("./executors/spectral_executor"),T=e("./executors/string_executor"),S=e("./executors/transformation_executor");function N(e,t,r,n){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:s.tidy,N=function(e,t,r){switch(e.category){case"arithmetic":return 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File an issue at ")+"https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,r);return 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a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"NodeValueImpl",function(){return u});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@swc/helpers/cjs/_create_class.cjs"),i=e("../executors/utils"),c=e("../operation_mapper"),u=function(){"use strict";function e(t,r,n){var a=this;(0,s._)(this,e),this.node=t,this.tensorMap=r,this.context=n,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(function(e){return a.getInput(e)}),null!=t.rawAttrs&&(this.attrs=Object.keys(t.rawAttrs).reduce(function(e,t){return e[t]=a.getAttr(t),e},{}))}return(0,o._)(e,[{key:"getInput",value:function(e){return(0,i.getTensor)(e,this.tensorMap,this.context)}},{key:"getAttr",value:function(e,t){var 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q=(0,p.getParamValue)("tensorArrayId",e,t,r),z=(0,p.getParamValue)("index",e,t,r),[2,[r.getTensorArray(q.id).read(z)]];case 19:return U=(0,p.getParamValue)("tensorArrayId",e,t,r),H=(0,p.getParamValue)("indices",e,t,r),W=(0,p.getParamValue)("dtype",e,t,r),[2,[r.getTensorArray(U.id).gather(H,W)]];case 20:return K=(0,p.getParamValue)("tensorArrayId",e,t,r),X=(0,p.getParamValue)("indices",e,t,r),Q=(0,p.getParamValue)("tensor",e,t,r),(Z=r.getTensorArray(K.id)).scatter(X,Q),[2,[Z.idTensor]];case 21:return J=(0,p.getParamValue)("tensorArrayId",e,t,r),Y=r.getTensorArray(J.id),$=(0,p.getParamValue)("dtype",e,t,r),[2,[Y.concat($)]];case 22:return ee=(0,p.getParamValue)("tensorArrayId",e,t,r),et=(0,p.getParamValue)("tensor",e,t,r),er=(0,p.getParamValue)("lengths",e,t,r),(en=r.getTensorArray(ee.id)).split(er,et),[2,[en.idTensor]];case 23:return ea=(0,p.getParamValue)("tensorArrayId",e,t,r),es=r.getTensorArray(ea.id),[2,[(0,c.scalar)(es.size(),"int32")]];case 24:return 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eb=(0,p.getParamValue)("elementShape",e,t,r),ek=(0,p.getParamValue)("elementDType",e,t,r),ej="TensorListReserve"===e.op?"numElements":"maxNumElements",ew=(0,p.getParamValue)(ej,e,t,r),eI="TensorListReserve"===e.op?-1:ew,eT=(0,l.reserve)(eb,ek,ew,eI),r.addTensorList(eT),[2,[eT.idTensor]];case 29:return eS=(0,p.getParamValue)("tensorListId",e,t,r),eN=(0,p.getParamValue)("indices",e,t,r),eM=(0,p.getParamValue)("elementShape",e,t,r),eC=(0,p.getParamValue)("elementDType",e,t,r),[2,[r.getTensorList(eS.id).gather(eN,eC,eM)]];case 30:return eE=(0,p.getParamValue)("tensorListId",e,t,r),eF=(0,p.getParamValue)("elementShape",e,t,r),eA=(0,p.getParamValue)("elementDType",e,t,r),eR=(0,p.getParamValue)("numElements",e,t,r),[2,[r.getTensorList(eE.id).stack(eF,eA,eR)]];case 31:return eP=(0,p.getParamValue)("tensor",e,t,r),eO=(0,p.getParamValue)("elementShape",e,t,r),eD=(0,p.getParamValue)("elementDType",e,t,r),eB=(0,l.fromTensor)(eP,eO,eD),r.addTensorList(eB),[2,[eB.idTensor]];case 32:return eV=(0,p.getParamValue)("tensorListId",e,t,r),eG=r.getTensorList(eV.id),eL=(0,p.getParamValue)("dtype",e,t,r),eq=(0,p.getParamValue)("elementShape",e,t,r),[2,[eG.concat(eL,eq)]];case 33:return ez=(0,p.getParamValue)("tensorListId",e,t,r),eU=(0,p.getParamValue)("tensor",e,t,r),(eH=r.getTensorList(ez.id)).pushBack(eU),[2,[eH.idTensor]];case 34:return eW=(0,p.getParamValue)("tensorListId",e,t,r),eK=(0,p.getParamValue)("elementShape",e,t,r),eX=(0,p.getParamValue)("elementDType",e,t,r),[2,[r.getTensorList(eW.id).popBack(eK,eX)]];case 35:return eQ=(0,p.getParamValue)("tensor",e,t,r),eZ=(0,p.getParamValue)("elementShape",e,t,r),eJ=(0,p.getParamValue)("lengths",e,t,r),eY=(0,l.split)(eQ,eJ,eZ),r.addTensorList(eY),[2,[eY.idTensor]];case 36:return e$=(0,p.getParamValue)("tensorListId",e,t,r),e0=r.getTensorList(e$.id),[2,[(0,c.scalar)(e0.size(),"int32")]];case 37:return 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o=this.makeTensorInfo(t,r),i=this.texData.get(o.dataId);i.isPacked=!1,i.texture={texture:e,texShape:[n,a]},i.texShape=[n,a];var c=E.getShapeAs3D(t),u=new(0,x.EncodeMatrixProgram)(c,!1,s),l=this.runWebGLProgram(u,[o],r,[[n,a]]);return l.shape=t,i.texture=null,this.disposeIntermediateTensorInfo(o),l.dataId}},{key:"write",value:function(e,t,r){if(((0,d.env)().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||(0,d.env)().getBool("DEBUG"))&&this.checkNumericalProblems(e),"complex64"===r&&null!=e)throw Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var n={id:this.nextDataId()};return this.texData.set(n,{shape:t,dtype:r,values:e,usage:T.TextureUsage.UPLOAD,refCount:1}),n}},{key:"refCount",value:function(e){return this.texData.has(e)?this.texData.get(e).refCount:0}},{key:"incRef",value:function(e){var t=this.texData.get(e);t.refCount++}},{key:"decRef",value:function(e){if(this.texData.has(e)){var t=this.texData.get(e);t.refCount--}}},{key:"move",value:function(e,t,r,n,a){if((0,d.env)().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n)throw Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:r,dtype:n,values:t,usage:T.TextureUsage.UPLOAD,refCount:a})}},{key:"disposeIntermediateTensorInfo",value:function(e){this.disposeData(e.dataId)}},{key:"readSync",value:function(e){var t,r,n=this.texData.get(e),a=n.values,s=n.dtype,o=n.complexTensorInfos,i=n.slice,c=n.shape,u=n.isPacked;if(null!=i){var l=u?new(0,M.UnaryOpPackedProgram)(c,N.CLONE):new(0,N.UnaryOpProgram)(c,N.CLONE),p=this.runWebGLProgram(l,[{dataId:e,shape:c,dtype:s}],s),f=this.readSync(p.dataId);return this.disposeIntermediateTensorInfo(p),f}if(null!=a)return this.convertAndCacheOnCPU(e);if("string"===s)return a;var h=null!=this.activeTimers;if(h&&(t=d.util.now()),"complex64"===s){var m=this.readSync(o.real.dataId),g=this.readSync(o.imag.dataId);r=d.backend_util.mergeRealAndImagArrays(m,g)}else r=this.getValuesFromTexture(e);return h&&(this.downloadWaitMs+=d.util.now()-t),this.convertAndCacheOnCPU(e,r)}},{key:"read",value:function(e){return(0,s._)(function(){var t,r,n,a,s,o,i,c,u,l,h,m,g,v,_,x,y,b,k,j,w,I,S;return(0,f._)(this,function(f){switch(f.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})];if(n=(r=this.texData.get(e)).values,a=r.shape,s=r.slice,o=r.dtype,i=r.complexTensorInfos,c=r.isPacked,null!=s)return u=c?new(0,M.UnaryOpPackedProgram)(a,N.CLONE):new(0,N.UnaryOpProgram)(a,N.CLONE),l=this.runWebGLProgram(u,[{dataId:e,shape:a,dtype:o}],o),h=this.read(l.dataId),this.disposeIntermediateTensorInfo(l),[2,h];if(null!=n)return[2,this.convertAndCacheOnCPU(e)];if((0,d.env)().getBool("DEBUG")&&!(0,d.env)().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===(0,d.env)().getNumber("WEBGL_VERSION"))throw Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");if(m=null,"complex64"!==o&&(0,d.env)().get("WEBGL_BUFFER_SUPPORTED")&&(g=this.decode(e),_=this.texData.get(g.dataId),m=(v=this.gpgpu).createBufferFromTexture.apply(v,[_.texture.texture].concat((0,p._)(T.getDenseTexShape(a))))),this.pendingRead.set(e,[]),"complex64"===o)return[3,2];return[4,this.gpgpu.createAndWaitForFence()];case 1:f.sent(),f.label=2;case 2:if("complex64"!==o)return[3,4];return[4,Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)])];case 3:return b=(y=f.sent())[0],k=y[1],x=d.backend_util.mergeRealAndImagArrays(b,k),[3,5];case 4:null==m?x=this.getValuesFromTexture(e):(j=d.util.sizeFromShape(a),x=this.gpgpu.downloadFloat32MatrixFromBuffer(m,j)),f.label=5;case 5:return null!=g&&this.disposeIntermediateTensorInfo(g),null!=m&&(w=this.gpgpu.gl,E.callAndCheck(w,function(){return w.deleteBuffer(m)})),I=this.convertAndCacheOnCPU(e,x),S=this.pendingRead.get(e),this.pendingRead.delete(e),S.forEach(function(e){return e(I)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&(0,d.engine)().removeDataId(e,this),this.pendingDeletes--),[2,I]}})}).call(this)}},{key:"readToGPU",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=this.texData.get(e),n=r.values,a=r.shape,s=r.slice,o=r.dtype,i=r.isPacked,c=r.texture;if("complex64"===o)throw Error("Does not support reading texture for complex64 dtype.");if(null!=s){var u=i?new(0,M.UnaryOpPackedProgram)(a,N.CLONE):new(0,N.UnaryOpProgram)(a,N.CLONE),l=this.runWebGLProgram(u,[{dataId:e,shape:a,dtype:o}],o),p=this.readToGPU(l,t);return this.disposeIntermediateTensorInfo(l),p}if(null==c)if(null!=n)throw Error("Data is not on GPU but on CPU.");else throw Error("There is no data on GPU or CPU.");var f=this.decode(e,t.customTexShape);return Object.assign({tensorRef:(0,d.engine)().makeTensorFromTensorInfo(f)},this.texData.get(f.dataId).texture)}},{key:"bufferSync",value:function(e){var t=this.readSync(e.dataId);if("string"===e.dtype)try{var r=t.map(function(e){return d.util.decodeString(e)});return(0,d.buffer)(e.shape,e.dtype,r)}catch(e){throw Error("Failed to decode encoded string bytes into utf-8")}return(0,d.buffer)(e.shape,e.dtype,t)}},{key:"checkNumericalProblems",value:function(e){if(null!=e)for(var t=0;t<e.length;t++){var r=e[t];if(!E.canBeRepresented(r)){if((0,d.env)().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value ".concat(r," cannot be represented with your ")+"current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value ".concat(r," cannot be represented on this device."))}}}},{key:"getValuesFromTexture",value:function(e){var t=this.texData.get(e),r=t.shape,n=t.dtype,a=t.isPacked,s=d.util.sizeFromShape(r);if((0,d.env)().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,i=this.decode(e),c=this.texData.get(i.dataId),u=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[c.texture.texture].concat((0,p._)(T.getDenseTexShape(r)))).subarray(0,s);return this.disposeIntermediateTensorInfo(i),u}var l=(0,d.env)().getBool("WEBGL_PACK")&&!0===a,f=l?E.getShapeAs3D(r):r,h=l?new(0,_.EncodeFloatPackedProgram)(f):new(0,v.EncodeFloatProgram)(f),m=this.runWebGLProgram(h,[{shape:f,dtype:n,dataId:e}],"float32"),g=this.texData.get(m.dataId),x=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(g.texture.texture,g.texShape[0],g.texShape[1]).subarray(0,s);return this.disposeIntermediateTensorInfo(m),x}},{key:"timerAvailable",value:function(){return(0,d.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0}},{key:"time",value:function(e){var t=this.activeTimers,r=[],n=!1;null==this.programTimersStack?(this.programTimersStack=r,n=!0):this.activeTimers.push(r),this.activeTimers=r,e();var a=d.util.flatten(this.activeTimers.map(function(e){return e.query})).filter(function(e){return null!=e}),o=d.util.flatten(this.activeTimers.map(function(e){return e.name})).filter(function(e){return null!=e});this.activeTimers=t,n&&(this.programTimersStack=null);var i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(0,s._)(function(){var e;return(0,f._)(this,function(t){switch(t.label){case 0:if(!((0,d.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0))return[3,2];return[4,Promise.all(a)];case 1:return e=t.sent(),i.kernelMs=d.util.sum(e),i.getExtraProfileInfo=function(){return e.map(function(e,t){return{name:o[t],ms:e}}).map(function(e){return"".concat(e.name,": ").concat(e.ms)}).join(", ")},[3,3];case 2:i.kernelMs={error:"WebGL query timers are not supported in this environment."},t.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,i]}})}).call(this)}},{key:"memory",value:function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}},{key:"startTimer",value:function(){return(0,d.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:d.util.now(),endMs:null}}},{key:"endTimer",value:function(e){return(0,d.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.endQuery():e.endMs=d.util.now(),e}},{key:"getQueryTime",value:function(e){return(0,s._)(function(){var t;return(0,f._)(this,function(r){return(0,d.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]})}).call(this)}},{key:"disposeData",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);var r=this.texData.get(e).complexTensorInfos;return null!=r&&(this.disposeData(r.real.dataId,t),this.disposeData(r.imag.dataId,t)),this.texData.delete(e),!0}},{key:"releaseGPUData",value:function(e){var t=this.texData.get(e),r=t.texture,n=t.dtype,a=t.texShape,s=t.usage,o=t.isPacked,i=t.slice,c=i&&i.origDataId||e,u=this.dataRefCount.get(c);u>1?this.dataRefCount.set(c,u-1):(this.dataRefCount.delete(c),null!=r&&(this.numBytesInGPU-=this.computeBytes(a,n),this.textureManager.releaseTexture(r,a,s,o)));var l=this.texData.get(e);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null}},{key:"getTexture",value:function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}},{key:"getDataInfo",value:function(e){return this.texData.get(e)}},{key:"shouldExecuteOnCPU",value:function(e){var t=this,r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:D;return(0,d.env)().getBool("WEBGL_CPU_FORWARD")&&e.every(function(e){return null==t.texData.get(e.dataId).texture&&d.util.sizeFromShape(e.shape)<r})}},{key:"getGPGPUContext",value:function(){return this.gpgpu}},{key:"where",value:function(e){d.backend_util.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return F(e.shape,t)}},{key:"packedUnaryOp",value:function(e,t,r){var n=new(0,M.UnaryOpPackedProgram)(e.shape,t),a=this.compileAndRun(n,[e],r);return(0,d.engine)().makeTensorFromTensorInfo(a)}},{key:"abs",value:function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=(0,j.simpleAbsImplCPU)(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if((0,d.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,N.ABS,e.dtype);var r=new(0,N.UnaryOpProgram)(e.shape,N.ABS),n=this.compileAndRun(r,[e]);return(0,d.engine)().makeTensorFromTensorInfo(n)}},{key:"makeTensorInfo",value:function(e,t,r){var n;if("string"===t&&null!=r&&r.length>0&&d.util.isString(r[0])){var a=r.map(function(e){return d.util.encodeString(e)});n=this.write(a,e,t)}else n=this.write(r,e,t);return this.texData.get(n).usage=null,{dataId:n,shape:e,dtype:t}}},{key:"makeOutput",value:function(e,t,r){return(0,d.engine)().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,r),this)}},{key:"unpackTensor",value:function(e){var t=new(0,C.UnpackProgram)(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}},{key:"packTensor",value:function(e){var t=new(0,w.PackProgram)(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}},{key:"packedReshape",value:function(e,t){var r=[E.getBatchDim(e.shape)].concat((0,p._)(E.getRowsCols(e.shape))),n={dtype:e.dtype,shape:r,dataId:e.dataId},a=[E.getBatchDim(t)].concat((0,p._)(E.getRowsCols(t))),s=new(0,I.ReshapePackedProgram)(a,r),o=this.runWebGLProgram(s,[n],e.dtype,[r],!0);return{dataId:o.dataId,shape:t,dtype:o.dtype}}},{key:"decode",value:function(e,t){var r,n=this.texData.get(e),a=n.isPacked,s=n.shape,o=n.dtype;if(null!=t){var i=d.util.sizeFromShape(s),c=t[0]*t[1]*4;d.util.assert(i<=c,function(){return"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data."})}var u=E.getShapeAs3D(s);r=a?new(0,g.DecodeMatrixPackedProgram)(u):new(0,m.DecodeMatrixProgram)(u);var l=[null!=t?t:T.getDenseTexShape(u)],p=this.runWebGLProgram(r,[{shape:u,dtype:o,dataId:e}],o,l,!0,t);return{dtype:o,shape:s,dataId:p.dataId}}},{key:"runWebGLProgram",value:function(e,t,r,n){var a,s=this,o=arguments.length>4&&void 0!==arguments[4]&&arguments[4],i=arguments.length>5?arguments[5]:void 0,c=this.makeTensorInfo(e.outputShape,r),u=this.texData.get(c.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===T.PackingScheme.DENSE&&(u.texShape=(null!=i?i:T.getDenseTexShape(e.outputShape)).map(function(e){return 2*e})),null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===d.util.sizeFromShape(c.shape))return u.values=d.util.getTypedArrayFromDType(c.dtype,0),c;var l=[],p=t.map(function(t){if("complex64"===t.dtype)throw Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var r=s.texData.get(t.dataId);if(null==r.texture){if(!e.packedInputs&&d.util.sizeFromShape(t.shape)<=(0,d.env)().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:r.values};e.packedInputs&&(r.isPacked=!0,r.shape=t.shape)}if(s.uploadToGPU(t.dataId),!!r.isPacked!=!!e.packedInputs)t=r.isPacked?s.unpackTensor(t):s.packTensor(t),l.push(t),r=s.texData.get(t.dataId);else if(r.isPacked&&!E.isReshapeFree(r.shape,t.shape)){var n=t,a=t.shape;t.shape=r.shape,t=s.packedReshape(t,a),l.push(t),r=s.texData.get(t.dataId),n.shape=a}return{shape:t.shape,texData:r,isUniform:!1}});this.uploadToGPU(c.dataId);var f={shape:c.shape,texData:u,isUniform:!1},h=k.makeShaderKey(e,p,f),m=this.getAndSaveBinary(h,function(){return k.compileProgram(s.gpgpu,e,p,f)}),g=null!=this.activeTimers;g&&(a=this.startTimer()),(0,d.env)().get("ENGINE_COMPILE_ONLY")||k.runProgram(this.gpgpu,m,p,f,n),l.forEach(function(e){return s.disposeIntermediateTensorInfo(e)}),g&&(a=this.endTimer(a),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(a)}));var v=(0,d.env)().getNumber("WEBGL_FLUSH_THRESHOLD");if(v>0){var _=d.util.now();_-this.lastGlFlushTime>v&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=_)}if(!(0,d.env)().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===o){var x=this.unpackTensor(c);return this.disposeIntermediateTensorInfo(c),x}return c}},{key:"compileAndRun",value:function(e,t,r,n){var a=arguments.length>4&&void 0!==arguments[4]&&arguments[4];return r=r||t[0].dtype,this.runWebGLProgram(e,t,r,n,a)}},{key:"getAndSaveBinary",value:function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}},{key:"getTextureManager",value:function(){return this.textureManager}},{key:"dispose",value:function(){var e=this;this.disposed||((0,d.env)().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}),this.textureManager.dispose(),null!=this.canvas&&"u">typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}},{key:"floatPrecision",value:function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=(0,d.tidy)(function(){if(!(0,d.env)().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=(0,d.env)().getBool("DEBUG");(0,d.env)().set("DEBUG",!1);var r=e.abs((0,d.scalar)(1e-8)).dataSync()[0];if((0,d.env)().set("DEBUG",t),r>0)return 32}return 16})),this.floatPrecisionValue}},{key:"epsilon",value:function(){return 32===this.floatPrecision()?A:R}},{key:"uploadToGPU",value:function(e){var t=this.texData.get(e),r=t.shape,n=t.dtype,a=t.values,s=t.texture,o=t.usage,i=t.isPacked;if(null==s){var c=null!=this.activeTimers;c&&(p=d.util.now());var u=t.texShape;if(null==u&&(t.texShape=u=E.getTextureShapeFromLogicalShape(r,i)),null!=a){var p,f,h,m=E.getShapeAs3D(r),g=u[1],v=u[0],_=a instanceof Uint8Array||a instanceof Uint8ClampedArray;(i||!_)&&(g=(h=(0,l._)(T.getPackedMatrixTextureShapeWidthHeight(u[0],u[1]),2))[0],v=h[1]),f=i?new(0,y.EncodeMatrixPackedProgram)(m,_):new(0,x.EncodeMatrixProgram)(m,_);var b=_?[v,g]:u,k=this.makeTensorInfo(b,n),j=this.texData.get(k.dataId);_?j.usage=T.TextureUsage.PIXELS:j.usage=T.TextureUsage.UPLOAD,j.texShape=b,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(k.dataId),g,v,a);var w=[[v,g]],I=this.runWebGLProgram(f,[k],n,w,!0),S=this.texData.get(I.dataId);t.texShape=S.texShape,t.isPacked=S.isPacked,t.usage=S.usage,(0,d.env)().get("ENGINE_COMPILE_ONLY")?this.disposeData(I.dataId):(t.texture=S.texture,t.values=null,this.texData.delete(I.dataId)),this.disposeIntermediateTensorInfo(k),c&&(this.uploadWaitMs+=d.util.now()-p)}else t.texture=this.acquireTexture(u,o,n,i)}}},{key:"convertAndCacheOnCPU",value:function(e,t){var r=this.texData.get(e),n=r.dtype;return null!=t&&(r.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var r="int32"===t?new Int32Array(e.length):new Uint8Array(e.length),n=0;n<r.length;++n)r[n]=Math.round(e[n]);return r}throw Error("Unknown dtype ".concat(t))}(t,n)),r.values}},{key:"acquireTexture",value:function(e,t,r,n){if(this.numBytesInGPU+=this.computeBytes(e,r),!this.warnedAboutMemory&&this.numBytesInGPU>1048576*this.numMBBeforeWarning){var a=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: ".concat(a," MB, ")+"most likely due to a memory leak")}return this.textureManager.acquireTexture(e,t,n)}},{key:"computeBytes",value:function(e,t){return e[0]*e[1]*d.util.bytesPerElement(t)}},{key:"checkCompileCompletion",value:function(){var e=!0,t=!1,r=void 0;try{for(var n,a=Object.entries(this.binaryCache)[Symbol.iterator]();!(e=(n=a.next()).done);e=!0){var s=(0,l._)(n.value,2)[1];this.checkCompletion_(s)}}catch(e){t=!0,r=e}finally{try{e||null==a.return||a.return()}finally{if(t)throw r}}}},{key:"checkCompileCompletionAsync",value:function(){return(0,s._)(function(){var e,t,r,n,a,s,o,i,c,u,p,d,h,m;return(0,f._)(this,function(f){if(e=this,t=[],this.gpgpu.parallelCompilationExtension){r=!0,n=!1,a=void 0;try{for(s=Object.entries(this.binaryCache)[Symbol.iterator]();!(r=(o=s.next()).done);r=!0)i=(0,l._)(o.value,2)[1],t.push(this.checkCompletionAsync_(i))}catch(e){n=!0,a=e}finally{try{r||null==s.return||s.return()}finally{if(n)throw a}}return[2,Promise.all(t)]}c=!0,u=!1,p=void 0;try{for(d=function(){var r=(0,l._)(m.value,2)[1],n=new Promise(function(t){try{e.checkCompletion_(r),t(!0)}catch(e){throw e}});t.push(n)},h=Object.entries(this.binaryCache)[Symbol.iterator]();!(c=(m=h.next()).done);c=!0)d()}catch(e){u=!0,p=e}finally{try{c||null==h.return||h.return()}finally{if(u)throw p}}return[2,Promise.all(t)]})}).call(this)}},{key:"checkCompletionAsync_",value:function(e){return(0,s._)(function(){return(0,f._)(this,function(t){switch(t.label){case 0:if(!this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR))return[3,1];return[2,this.checkCompletion_(e)];case 1:return[4,(0,d.nextFrame)()];case 2:return 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p,f,d,h,m=t.variableNames[Symbol.iterator]();!(c=(h=m.next()).done);c=!0){var g=h.value,v={name:g,uniform:e.getUniformLocation(r,g,!1),offset:e.getUniformLocation(r,"offset".concat(g),!1)};t.enableShapeUniforms&&(v.shape=e.getUniformLocation(r,"".concat(g,"Shape"),!1),v.texShape=e.getUniformLocation(r,"".concat(g,"TexShape"),!1)),n.push(v)}}catch(e){u=!0,l=e}finally{try{c||null==m.return||m.return()}finally{if(u)throw l}}t.enableShapeUniforms&&(p=e.getUniformLocation(r,"outShape",!1),d=e.getUniformLocation(r,"outShapeStrides",!1),f=e.getUniformLocation(r,"outTexShape",!1));var _=!0,x=!1,y=void 0;if(t.customUniforms)try{for(var b,k=t.customUniforms[Symbol.iterator]();!(_=(b=k.next()).done);_=!0){var j=b.value;a.push(e.getUniformLocation(r,j.name,!1))}}catch(e){x=!0,y=e}finally{try{_||null==k.return||k.return()}finally{if(x)throw y}}return{variablesLocations:n,customUniformLocations:a,infLoc:o,nanLoc:i,outShapeLocation:p,outShapeStridesLocation:d,outTexShapeLocation:f}}function l(e,t){if(e.length!==t.length)throw Error("Binary was compiled with ".concat(e.length," inputs, but ")+"was executed with ".concat(t.length," inputs"));e.forEach(function(e,r){var n=e.logicalShape,a=t[r],o=a.shape;if(!s.util.arraysEqual(n,o))throw Error("Binary was compiled with different shapes than "+"the current args. 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n=t.shapeInfo.logicalShape,a=t.name,s="get"+a.charAt(0).toUpperCase()+a.slice(1),i=n[3],c=n[2]*i,u=n[1]*c,l=o.util.squeezeShape(n),p=l.newShape,f=l.keptDims;if(p.length<n.length){var d=y(t,p);return"\n ".concat(e(d,r),"\n float ").concat(s,"(int row, int col, int depth, int depth2) {\n return ").concat(s,"(").concat(b(["row","col","depth","depth2"],f),");\n }\n ")}if(t.shapeInfo.isUniform)return"\n float ".concat(s,"(int row, int col, int depth, int depth2) {\n int index = round(dot(vec4(row, col, depth, depth2),\n vec4(").concat(u,", ").concat(c,", ").concat(i,", 1)));\n ").concat(v(t),"\n }\n ");var h=t.shapeInfo.flatOffset,m=t.shapeInfo.texShape,_=m[0],x=m[1],k="int stride2 = ".concat(a,"Shape[3];"),j="int stride1 = ".concat(a,"Shape[2] * stride2;"),w="int stride0 = ".concat(a,"Shape[1] * stride1;");if(x===u&&null==h)return r?"\n float ".concat(s,"(int row, int col, int depth, int depth2) {\n ").concat(k,"\n ").concat(j,"\n float texR = float(row);\n float texC =\n dot(vec3(col, depth, depth2),\n vec3(stride1, stride2, 1));\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(a,"TexShape[1], ").concat(a,"TexShape[0]);\n return sampleTexture(").concat(a,", uv);\n }\n "):"\n float ".concat(s,"(int row, int col, int depth, int depth2) {\n float texR = float(row);\n float texC =\n dot(vec3(col, depth, depth2),\n vec3(").concat(c,", ").concat(i,", 1));\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(x,".0, ").concat(_,".0);\n return sampleTexture(").concat(a,", uv);\n }\n ");if(x===i&&null==h)return r?"\n float ".concat(s,"(int row, int col, int depth, int depth2) {\n float texR = dot(vec3(row, col, depth),\n vec3(").concat(a,"Shape[1] * ").concat(a,"Shape[2], ").concat(a,"Shape[2], 1));\n float texC = float(depth2);\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(a,"TexShape[1], ").concat(a,"TexShape[0]);\n return sampleTexture(").concat(a,", uv);\n }\n "):"\n float ".concat(s,"(int row, int col, int depth, int depth2) {\n float texR = dot(vec3(row, col, depth),\n vec3(").concat(n[1]*n[2],", ").concat(n[2],", 1));\n float texC = float(depth2);\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(x,".0, ").concat(_,".0);\n return sampleTexture(").concat(a,", uv);\n }\n ");var I=g(a);return r?"\n float ".concat(s,"(int row, int col, int depth, int depth2) {\n // Explicitly use integer operations as dot() only works on floats.\n ").concat(k,"\n ").concat(j,"\n ").concat(w,"\n int index = row * stride0 + col * stride1 +\n depth * stride2 + depth2;\n vec2 uv = uvFromFlat(").concat(a,"TexShape[0], ").concat(a,"TexShape[1], index + ").concat(I,");\n return sampleTexture(").concat(a,", uv);\n }\n "):"\n float ".concat(s,"(int row, int col, int depth, int depth2) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = row * ").concat(u," + col * ").concat(c," +\n depth * ").concat(i," + depth2;\n vec2 uv = uvFromFlat(").concat(_,", ").concat(x,", index + ").concat(I,");\n return sampleTexture(").concat(a,", uv);\n }\n ")}(t,r);case 5:return function(t){var r=t.shapeInfo.logicalShape,n=t.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r[4],i=r[3]*s,c=r[2]*i,u=r[1]*c,l=o.util.squeezeShape(r),p=l.newShape,f=l.keptDims;if(p.length<r.length){var d=y(t,p);return"\n ".concat(e(d),"\n float ").concat(a,"(int row, int col, int depth, int depth2, int depth3) {\n return ").concat(a,"(").concat(b(["row","col","depth","depth2","depth3"],f),");\n }\n ")}if(t.shapeInfo.isUniform)return"\n float ".concat(a,"(int row, int col, int depth, int depth2, int depth3) {\n float index = dot(\n vec4(row, col, depth, depth2),\n vec4(").concat(u,", ").concat(c,", ").concat(i,", ").concat(s,")) +\n depth3;\n ").concat(v(t),"\n }\n ");var h=t.shapeInfo.flatOffset,m=t.shapeInfo.texShape,_=m[0],x=m[1];if(x===u&&null==h)return"\n float ".concat(a,"(int row, int col, int depth, int depth2, int depth3) {\n int texR = row;\n float texC = dot(vec4(col, depth, depth2, depth3),\n vec4(").concat(c,", ").concat(i,", ").concat(s,", 1));\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(x,".0, ").concat(_,".0);\n return sampleTexture(").concat(n,", uv);\n }\n ");if(x===s&&null==h)return"\n float ".concat(a,"(int row, int col, int depth, int depth2, int depth3) {\n float texR = dot(\n vec4(row, col, depth, depth2),\n vec4(").concat(r[1]*r[2]*r[3],",\n ").concat(r[2]*r[3],", ").concat(r[3],", 1));\n int texC = depth3;\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(x,".0, ").concat(_,".0);\n return sampleTexture(").concat(n,", uv);\n }\n ");var k=g(n);return"\n float ".concat(a,"(int row, int col, int depth, int depth2, int depth3) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = row * ").concat(u," + col * ").concat(c," + depth * ").concat(i," +\n depth2 * ").concat(s," + depth3 + ").concat(k,";\n vec2 uv = uvFromFlat(").concat(_,", ").concat(x,", index);\n return sampleTexture(").concat(n,", uv);\n }\n ")}(t);case 6:return function(t){var r=t.shapeInfo.logicalShape,n=t.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),s=o.util.squeezeShape(r),i=s.newShape,c=s.keptDims;if(i.length<r.length){var u=y(t,i);return"\n ".concat(e(u),"\n float ").concat(a,"(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n return ").concat(a,"(").concat(b(["row","col","depth","depth2","depth3","depth4"],c),");\n }\n ")}var l=r[5],p=r[4]*l,f=r[3]*p,d=r[2]*f,h=r[1]*d;if(t.shapeInfo.isUniform)return"\n float ".concat(a,"(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n int index = round(dot(\n vec4(row, col, depth, depth2),\n vec4(").concat(h,", ").concat(d,", ").concat(f,", ").concat(p,")) +\n dot(\n vec2(depth3, depth4),\n vec2(").concat(l,", 1)));\n ").concat(v(t),"\n }\n ");var m=t.shapeInfo.flatOffset,_=t.shapeInfo.texShape,x=_[0],k=_[1];if(k===h&&null==m)return"\n float ".concat(a,"(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n int texR = row;\n float texC = dot(vec4(col, depth, depth2, depth3),\n vec4(").concat(d,", ").concat(f,", ").concat(p,", ").concat(l,")) +\n float(depth4);\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(k,".0, ").concat(x,".0);\n return sampleTexture(").concat(n,", uv);\n }\n ");if(k===l&&null==m)return"\n float ".concat(a,"(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n float texR = dot(vec4(row, col, depth, depth2),\n vec4(").concat(r[1]*r[2]*r[3]*r[4],",\n ").concat(r[2]*r[3]*r[4],",\n ").concat(r[3]*r[4],",\n ").concat(r[4],")) + float(depth3);\n int texC = depth4;\n vec2 uv = (vec2(texC, texR) + halfCR) /\n vec2(").concat(k,".0, ").concat(x,".0);\n return sampleTexture(").concat(n,", uv);\n }\n ");var j=g(n);return"\n float ".concat(a,"(int row, int col, int depth,\n int depth2, int depth3, int depth4) {\n // Explicitly use integer operations as dot() only works on floats.\n int index = row * ").concat(h," + col * ").concat(d," + depth * ").concat(f," +\n depth2 * ").concat(p," + depth3 * ").concat(l," + depth4 + ").concat(j,";\n vec2 uv = uvFromFlat(").concat(x,", ").concat(k,", index);\n return sampleTexture(").concat(n,", uv);\n }\n ")}(t);default:throw Error("".concat(n.length,"-D input sampling")+" is not yet supported")}}(e,n);var c=e.shapeInfo.logicalShape,l=t.logicalShape;return c.length<=l.length&&(r?a+=function(e,t){var r,n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),s="get"+a+"AtOutCoords",i=e.shapeInfo.logicalShape.length,c=t.logicalShape.length,l=u(e.shapeInfo.logicalShape,t.logicalShape),p=_(c),f=c-i,d=["x","y","z","w","u","v"];r=0===i?"":c<2&&l.length>=1?"coords = 0;":l.map(function(e){return"coords.".concat(d[e+f]," = 0;")}).join("\n");var h="";h=c<2&&i>0?"coords":e.shapeInfo.logicalShape.map(function(e,t){return"coords.".concat(d[t+f])}).join(", ");var m="return outputValue;",g=1===o.util.sizeFromShape(e.shapeInfo.logicalShape),v=1===o.util.sizeFromShape(t.logicalShape);if(1!==i||g||v){if(g&&!v)m=1===c?"\n return vec4(outputValue.x, outputValue.x, 0., 0.);\n ":"\n return vec4(outputValue.x);\n ";else if(l.length){var x=i-2,y=i-1;l.indexOf(x)>-1&&l.indexOf(y)>-1?m="return vec4(outputValue.x);":l.indexOf(x)>-1?m="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":l.indexOf(y)>-1&&(m="return vec4(outputValue.xx, outputValue.zz);")}}else m="\n return vec4(outputValue.xy, outputValue.xy);\n ";return"\n vec4 ".concat(s,"() {\n ").concat(p," coords = getOutputCoords();\n ").concat(r,"\n vec4 outputValue = get").concat(a,"(").concat(h,");\n ").concat(m,"\n }\n ")}(e,t):a+=function(e,t){var r,n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),s="get"+a+"AtOutCoords",i=t.texShape,c=e.shapeInfo.texShape,l=e.shapeInfo.logicalShape.length,p=t.logicalShape.length;if(!e.shapeInfo.isUniform&&l===p&&null==e.shapeInfo.flatOffset&&o.util.arraysEqual(c,i))return"\n float ".concat(s,"() {\n return sampleTexture(").concat(n,", resultUV);\n }\n ");var f=_(p),d=u(e.shapeInfo.logicalShape,t.logicalShape),h=p-l,m=["x","y","z","w","u","v"];r=0===l?"":p<2&&d.length>=1?"coords = 0;":d.map(function(e){return"coords.".concat(m[e+h]," = 0;")}).join("\n");var g="";return g=p<2&&l>0?"coords":e.shapeInfo.logicalShape.map(function(e,t){return"coords.".concat(m[t+h])}).join(", "),"\n float ".concat(s,"() {\n ").concat(f," coords = getOutputCoords();\n ").concat(r,"\n return get").concat(a,"(").concat(g,");\n }\n ")}(e,t)),a}(e,t,r.packedInputs,r.enableShapeUniforms)}).join("\n"),N=t.texShape,M=(0,i.getGlslDifferences)(),C=(n=M,"\n float sampleTexture(sampler2D textureSampler, vec2 uv) {\n return ".concat(n.texture2D,"(textureSampler, uv).r;\n }\n ")),E=(a=M,"".concat(a.version,"\n precision highp float;\n precision highp int;\n precision highp sampler2D;\n ").concat(a.varyingFs," vec2 resultUV;\n ").concat(a.defineOutput,"\n const vec2 halfCR = vec2(0.5, 0.5);\n\n struct ivec5\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n };\n\n struct ivec6\n {\n int x;\n int y;\n int z;\n int w;\n int u;\n int v;\n };\n\n uniform float NAN;\n ").concat(a.defineSpecialNaN,"\n ").concat(a.defineSpecialInf,"\n ").concat(a.defineRound,"\n\n int imod(int x, int y) {\n return x - y * (x / y);\n }\n\n int idiv(int a, int b, float sign) {\n int res = a / b;\n int mod = imod(a, b);\n if (sign< 0. && mod != 0) {\n res -= 1;\n }\n return res;\n }\n\n //Based on the work of Dave Hoskins\n //https://www.shadertoy.com/view/4djSRW\n #define HASHSCALE1 443.8975\n float random(float seed){\n vec2 p = resultUV * seed;\n vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);\n p3 += dot(p3, p3.yzx + 19.19);\n return fract((p3.x + p3.y) * p3.z);\n }\n\n ").concat(p,"\n ").concat(f,"\n ").concat(d,"\n "));return t.isPacked?(j=function(e,t,r){switch(e.length){case 0:return m();case 1:var n,a,s;return n=t,a=r,1===(s=[Math.ceil(n[0]/2),Math.ceil(n[1]/2)])[0]?a?"\n int getOutputCoords() {\n return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));\n }\n ":"\n int getOutputCoords() {\n return 2 * int(resultUV.x * ".concat(s[1],".0);\n }\n "):1===s[1]?a?"\n int getOutputCoords() {\n return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));\n }\n ":"\n int getOutputCoords() {\n return 2 * int(resultUV.y * ".concat(s[0],".0);\n }\n "):a?"\n int getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);\n }\n ":"\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(".concat(s[0],", ").concat(s[1],"));\n return 2 * (resTexRC.x * ").concat(s[1]," + resTexRC.y);\n }\n ");case 2:var i=e,c=t,u=r,l=[Math.ceil(c[0]/2),Math.ceil(c[1]/2)];if(o.util.arraysEqual(i,c))return u?"\n ivec2 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1]));\n }\n ":"\n ivec2 getOutputCoords() {\n return 2 * ivec2(resultUV.yx * vec2(".concat(l[0],", ").concat(l[1],"));\n }\n ");var p=Math.ceil(i[1]/2);return u?"\n ivec2 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n int texelsInLogicalRow = int(ceil(float(outShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec2(r, c);\n }\n ":"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(".concat(l[0],", ").concat(l[1],"));\n\n int index = resTexRC.x * ").concat(l[1]," + resTexRC.y;\n int r = 2 * (index / ").concat(p,");\n int c = imod(index, ").concat(p,") * 2;\n\n return ivec2(r, c);\n }\n ");case 3:var f=e,d=t,h=r;if(h)return"\n ivec3 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec3(b, r, c);\n }\n ";var g=[Math.ceil(d[0]/2),Math.ceil(d[1]/2)],v=Math.ceil(f[2]/2),_=v*Math.ceil(f[1]/2);return"\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(".concat(g[0],", ").concat(g[1],"));\n int index = resTexRC.x * ").concat(g[1]," + resTexRC.y;\n\n int b = index / ").concat(_,";\n index -= b * ").concat(_,";\n\n int r = 2 * (index / ").concat(v,");\n int c = imod(index, ").concat(v,") * 2;\n\n return ivec3(b, r, c);\n }\n ");default:return function(e,t,r){if(r)return"\n ivec4 getOutputCoords() {\n ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(packedTexShape[0], packedTexShape[1]));\n int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n int texelsInBatchN = texelsInBatch * outShape[1];\n\n int b2 = index / texelsInBatchN;\n index -= b2 * texelsInBatchN;\n\n int b = index / texelsInBatch;\n index -= b * texelsInBatch;\n\n int r = 2 * (index / texelsInLogicalRow);\n int c = imod(index, texelsInLogicalRow) * 2;\n\n return ivec4(b2, b, r, c);\n }\n ";for(var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[e.length-1]/2),s=a*Math.ceil(e[e.length-2]/2),o=s,i="",c="b, r, c",u=2;u<e.length-1;u++)o*=e[e.length-u-1],i="\n int b".concat(u," = index / ").concat(o,";\n index -= b").concat(u," * ").concat(o,";\n ")+i,c="b".concat(u,", ")+c;return"\n ivec".concat(e.length," getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(").concat(n[0],", ").concat(n[1],"));\n int index = resTexRC.x * ").concat(n[1]," + resTexRC.y;\n\n ").concat(i,"\n\n int b = index / ").concat(s,";\n index -= b * ").concat(s,";\n\n int r = 2 * (index / ").concat(a,");\n int c = imod(index, ").concat(a,") * 2;\n\n return ivec").concat(e.length,"(").concat(c,");\n }\n ")}(e,t,r)}}(t.logicalShape,N,r.enableShapeUniforms),l=M,w="\n void setOutput(vec4 val) {\n ".concat(l.output," = val;\n }\n ")):(j=function(e,t,r){switch(e.length){case 0:return m();case 1:return n=t,a=r,1===n[0]?a?"\n int getOutputCoords() {\n return int(resultUV.x * float(outTexShape[1]));\n }\n ":"\n int getOutputCoords() {\n return int(resultUV.x * ".concat(n[1],".0);\n }\n "):1===n[1]?a?"\n int getOutputCoords() {\n return int(resultUV.y * float(outTexShape[0]));\n }\n ":"\n int getOutputCoords() {\n return int(resultUV.y * ".concat(n[0],".0);\n }\n "):a?"\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n return resTexRC.x * outTexShape[1] + resTexRC.y;\n }\n ":"\n int getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(".concat(n[0],", ").concat(n[1],"));\n return resTexRC.x * ").concat(n[1]," + resTexRC.y;\n }\n ");case 2:return s=e,i=t,u=r,o.util.arraysEqual(s,i)?u?"\n ivec2 getOutputCoords() {\n return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));\n }\n ":"\n ivec2 getOutputCoords() {\n return ivec2(resultUV.yx * vec2(".concat(i[0],", ").concat(i[1],"));\n }\n "):1===s[1]?u?"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n return ivec2(index, 0);\n }\n ":"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(".concat(i[0],", ").concat(i[1],"));\n int index = resTexRC.x * ").concat(i[1]," + resTexRC.y;\n return ivec2(index, 0);\n }\n "):1===s[0]?u?"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n return ivec2(0, index);\n }\n ":"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(".concat(i[0],", ").concat(i[1],"));\n int index = resTexRC.x * ").concat(i[1]," + resTexRC.y;\n return ivec2(0, index);\n }\n "):u?"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n int r = index / outShape[1];\n int c = index - r * outShape[1];\n return ivec2(r, c);\n }\n ":"\n ivec2 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(".concat(i[0],", ").concat(i[1],"));\n int index = resTexRC.x * ").concat(i[1]," + resTexRC.y;\n int r = index / ").concat(s[1],";\n int c = index - r * ").concat(s[1],";\n return ivec2(r, c);\n }\n ");case 3:var n,a,s,i,u,l,p,f,d,h,g,v=e,_=t,x=r;if(x){var y=c.getOutputLogicalCoordinatesFromFlatIndexByUniform(["r","c","d"],v);return"\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], outTexShape[1]));\n int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n ".concat(y,"\n return ivec3(r, c, d);\n }\n")}var b=c.getLogicalCoordinatesFromFlatIndex(["r","c","d"],v);return"\n ivec3 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(".concat(_[0],", ").concat(_[1],"));\n int index = resTexRC.x * ").concat(_[1]," + resTexRC.y;\n ").concat(b,"\n return ivec3(r, c, d);\n }\n ");case 4:var k=e,j=t,w=r;if(w){var I=c.getOutputLogicalCoordinatesFromFlatIndexByUniform(["r","c","d","d2"],k);return"\n ivec4 getOutputCoords() {\n ivec2 resTexRC = ivec2(resultUV.yx *\n vec2(outTexShape[0], 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s=e("@swc/helpers/cjs/_async_to_generator.cjs"),o=e("@swc/helpers/cjs/_class_call_check.cjs"),i=e("@swc/helpers/cjs/_create_class.cjs"),c=e("@swc/helpers/cjs/_sliced_to_array.cjs"),u=e("@swc/helpers/cjs/_ts_generator.cjs"),l=e("@tensorflow/tfjs-core"),p=e("./canvas_util"),f=e("./gpgpu_util"),d=e("./tex_util"),h=e("./webgl_util"),m=function(){"use strict";function e(t){(0,o._)(this,e),this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];var r=(0,l.env)().getNumber("WEBGL_VERSION");if(null!=t?(this.gl=t,(0,p.setWebGLContext)(r,t)):this.gl=(0,p.getWebGLContext)(r),t=this.gl,2===(0,l.env)().getNumber("WEBGL_VERSION")){var n=t;this.createVertexArray=function(){return h.callAndCheck(n,function(){return n.createVertexArray()})},this.bindVertexArray=function(e){return h.callAndCheck(n,function(){return n.bindVertexArray(e)})},this.deleteVertexArray=function(e){return h.callAndCheck(n,function(){return n.deleteVertexArray(e)})},this.getVertexArray=function(){return h.callAndCheck(n,function(){return n.getParameter(n.VERTEX_ARRAY_BINDING)})}}else if(null!=t){var a=t.getExtension("OES_vertex_array_object");if(null==a)throw Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=function(){return h.callAndCheck(t,function(){return a.createVertexArrayOES()})},this.bindVertexArray=function(e){return h.callAndCheck(t,function(){return a.bindVertexArrayOES(e)})},this.deleteVertexArray=function(e){return h.callAndCheck(t,function(){return a.deleteVertexArrayOES(e)})},this.getVertexArray=function(){return h.callAndCheck(t,function(){return t.getParameter(a.VERTEX_ARRAY_BINDING_OES)})}}var s="WEBGL_color_buffer_float",i="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),1===(0,l.env)().getNumber("WEBGL_VERSION")){var c="OES_texture_half_float";if(this.textureFloatExtension=h.getExtensionOrThrow(this.gl,"OES_texture_float"),h.hasExtension(this.gl,c))this.textureHalfFloatExtension=h.getExtensionOrThrow(this.gl,c);else if((0,l.env)().get("WEBGL_FORCE_F16_TEXTURES"))throw 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(s),h.hasExtension(this.gl,i))this.colorBufferHalfFloatExtension=h.getExtensionOrThrow(this.gl,i);else if((0,l.env)().get("WEBGL_FORCE_F16_TEXTURES"))throw Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(s="EXT_color_buffer_float",h.hasExtension(this.gl,s))this.colorBufferFloatExtension=this.gl.getExtension(s);else if(h.hasExtension(this.gl,i))this.colorBufferHalfFloatExtension=this.gl.getExtension(i);else throw Error("GL context does not support color renderable floats");this.vertexBuffer=f.createVertexBuffer(this.gl),this.indexBuffer=f.createIndexBuffer(this.gl),this.framebuffer=h.createFramebuffer(this.gl),this.textureConfig=d.getTextureConfig(this.gl,this.textureHalfFloatExtension)}return(0,i._)(e,[{key:"debug",get:function(){return(0,l.env)().getBool("DEBUG")}},{key:"dispose",value:function(){var e=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;h.callAndCheck(t,function(){return t.finish()}),h.callAndCheck(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),h.callAndCheck(t,function(){return t.deleteFramebuffer(e.framebuffer)}),h.callAndCheck(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,null)}),h.callAndCheck(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)}),h.callAndCheck(t,function(){return t.deleteBuffer(e.indexBuffer)}),this.disposed=!0}}},{key:"createFloat32MatrixTexture",value:function(e,t){return this.throwIfDisposed(),f.createFloat32MatrixTexture(this.gl,e,t,this.textureConfig)}},{key:"createFloat16MatrixTexture",value:function(e,t){return this.throwIfDisposed(),f.createFloat16MatrixTexture(this.gl,e,t,this.textureConfig)}},{key:"createUnsignedBytesMatrixTexture",value:function(e,t){return this.throwIfDisposed(),f.createUnsignedBytesMatrixTexture(this.gl,e,t,this.textureConfig)}},{key:"uploadPixelDataToTexture",value:function(e,t){this.throwIfDisposed(),f.uploadPixelDataToTexture(this.gl,e,t)}},{key:"uploadDenseMatrixToTexture",value:function(e,t,r,n){this.throwIfDisposed(),f.uploadDenseMatrixToTexture(this.gl,e,t,r,n,this.textureConfig)}},{key:"createFloat16PackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),f.createFloat16PackedMatrixTexture(this.gl,e,t,this.textureConfig)}},{key:"createPackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),f.createPackedMatrixTexture(this.gl,e,t,this.textureConfig)}},{key:"deleteMatrixTexture",value:function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(h.unbindColorTextureFromFramebuffer(this.gl,this.framebuffer),this.outputTexture=null),h.callAndCheck(this.gl,function(){return t.gl.deleteTexture(e)})}},{key:"downloadByteEncodedFloatMatrixFromOutputTexture",value:function(e,t,r){var n=this;return this.downloadMatrixDriver(e,function(){return f.downloadByteEncodedFloatMatrixFromOutputTexture(n.gl,t,r,n.textureConfig)})}},{key:"downloadPackedMatrixFromBuffer",value:function(e,t,r,n,a,s){return f.downloadPackedMatrixFromBuffer(this.gl,e,t,r,n,a,s,this.textureConfig)}},{key:"downloadFloat32MatrixFromBuffer",value:function(e,t){return f.downloadFloat32MatrixFromBuffer(this.gl,e,t)}},{key:"createBufferFromTexture",value:function(e,t,r){this.bindTextureToFrameBuffer(e);var n=f.createBufferFromOutputTexture(this.gl,t,r,this.textureConfig);return this.unbindTextureToFrameBuffer(),n}},{key:"createAndWaitForFence",value:function(){var e=this.createFence(this.gl);return this.pollFence(e)}},{key:"createFence",value:function(e){var t,r,n=this;if((0,l.env)().getBool("WEBGL_FENCE_API_ENABLED")){var a=e.fenceSync(e.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),r=function(){var t=e.clientWaitSync(a,0,0);return t===e.ALREADY_SIGNALED||t===e.CONDITION_SATISFIED},t=a}else(0,l.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),r=function(){return n.isQueryAvailable(t,(0,l.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):r=function(){return!0};return{query:t,isFencePassed:r}}},{key:"downloadMatrixFromPackedTexture",value:function(e,t,r){var n=this;return this.downloadMatrixDriver(e,function(){return f.downloadMatrixFromPackedOutputTexture(n.gl,t,r)})}},{key:"createProgram",value:function(e){var t=this;this.throwIfDisposed();var r=this.gl;null==this.vertexShader&&(this.vertexShader=f.createVertexShader(r));var n=h.createProgram(r);h.callAndCheck(r,function(){return r.attachShader(n,t.vertexShader)}),h.callAndCheck(r,function(){return r.attachShader(n,e)}),h.linkProgram(r,n);var a=Object.assign(n,{vao:this.createVertexArray()});return this.debug&&h.validateProgram(r,a),a}},{key:"buildVao",value:function(e){var t=this;this.setProgram(e),this.bindVertexArray(e.vao);var r=this.gl;h.callAndCheck(r,function(){return r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,t.indexBuffer)}),f.bindVertexProgramAttributeStreams(r,e,this.vertexBuffer)}},{key:"deleteProgram",value:function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&(h.callAndCheck(this.gl,function(){return t.gl.deleteProgram(e)}),this.deleteVertexArray(e.vao))}},{key:"setProgram",value:function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&h.validateProgram(this.gl,this.program),h.callAndCheck(this.gl,function(){return t.gl.useProgram(e)})}},{key:"getUniformLocation",value:function(e,t){var r=!(arguments.length>2)||void 0===arguments[2]||arguments[2];return(this.throwIfDisposed(),r)?h.getProgramUniformLocationOrThrow(this.gl,e,t):h.getProgramUniformLocation(this.gl,e,t)}},{key:"getAttributeLocation",value:function(e,t){var r=this;return this.throwIfDisposed(),h.callAndCheck(this.gl,function(){return r.gl.getAttribLocation(e,t)})}},{key:"getUniformLocationNoThrow",value:function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}},{key:"setInputMatrixTexture",value:function(e,t,r){this.throwIfDisposed(),this.throwIfNoProgram(),h.bindTextureToProgramUniformSampler(this.gl,e,t,r)}},{key:"setOutputMatrixTexture",value:function(e,t,r){this.setOutputMatrixTextureDriver(e,r,t)}},{key:"setOutputPackedMatrixTexture",value:function(e,t,r){this.throwIfDisposed();var n=(0,c._)(d.getPackedMatrixTextureShapeWidthHeight(t,r),2),a=n[0],s=n[1];this.setOutputMatrixTextureDriver(e,a,s)}},{key:"setOutputMatrixWriteRegion",value:function(e,t,r,n){this.setOutputMatrixWriteRegionDriver(r,e,n,t)}},{key:"setOutputPackedMatrixWriteRegion",value:function(e,t,r,n){throw Error("setOutputPackedMatrixWriteRegion not implemented.")}},{key:"debugValidate",value:function(){null!=this.program&&h.validateProgram(this.gl,this.program),h.validateFramebuffer(this.gl)}},{key:"executeProgram",value:function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.debug&&(console.assert(this.getVertexArray()===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()),h.callAndCheck(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})}},{key:"blockUntilAllProgramsCompleted",value:function(){var e=this;this.throwIfDisposed(),h.callAndCheck(this.gl,function(){return e.gl.finish()})}},{key:"getQueryTimerExtension",value:function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=h.getExtensionOrThrow(this.gl,2===(0,l.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}},{key:"getQueryTimerExtensionWebGL2",value:function(){return this.getQueryTimerExtension()}},{key:"getQueryTimerExtensionWebGL1",value:function(){return this.getQueryTimerExtension()}},{key:"beginQuery",value:function(){if(2===(0,l.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),r=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,r),r}var n=this.getQueryTimerExtensionWebGL1(),a=n.createQueryEXT();return n.beginQueryEXT(n.TIME_ELAPSED_EXT,a),a}},{key:"endQuery",value:function(){if(2===(0,l.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2();e.endQuery(t.TIME_ELAPSED_EXT);return}var r=this.getQueryTimerExtensionWebGL1();r.endQueryEXT(r.TIME_ELAPSED_EXT)}},{key:"waitForQueryAndGetTime",value:function(e){return(0,s._)(function(){var t;return(0,u._)(this,function(r){switch(r.label){case 0:return t=this,[4,l.util.repeatedTry(function(){return t.disposed||t.isQueryAvailable(e,(0,l.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return r.sent(),[2,this.getQueryTime(e,(0,l.env)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})}).call(this)}},{key:"getQueryTime",value:function(e,t){if(0===t)return null;if(2===t){var r=this.gl;return r.getQueryParameter(e,r.QUERY_RESULT)/1e6}var n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(e,n.QUERY_RESULT_EXT)/1e6}},{key:"isQueryAvailable",value:function(e,t){if(0===t)return!0;if(2===t){var r=this.gl,n=this.getQueryTimerExtensionWebGL2(),a=r.getQueryParameter(e,r.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),a&&!this.disjoint}var s=this.getQueryTimerExtensionWebGL1(),o=s.getQueryObjectEXT(e,s.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(s.GPU_DISJOINT_EXT)),o&&!this.disjoint}},{key:"pollFence",value:function(e){var t=this;return new Promise(function(r){t.addItemToPoll(function(){return e.isFencePassed()},function(){return r()})})}},{key:"pollItems",value:function(){for(var e=g(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t)(0,this.itemsToPoll[t].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(e+1)}},{key:"addItemToPoll",value:function(e,t){var r=this;if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),!(this.itemsToPoll.length>1)){var n=void 0;"setTimeoutCustom"in(0,l.env)().platform&&(n=(0,l.env)().platform.setTimeoutCustom.bind((0,l.env)().platform)),l.util.repeatedTry(function(){return r.pollItems(),0===r.itemsToPoll.length},function(){return 0},null,n)}}},{key:"bindTextureToFrameBuffer",value:function(e){this.throwIfDisposed(),h.bindColorTextureToFramebuffer(this.gl,e,this.framebuffer),this.debug&&h.validateFramebuffer(this.gl)}},{key:"unbindTextureToFrameBuffer",value:function(){null!=this.outputTexture?(h.bindColorTextureToFramebuffer(this.gl,this.outputTexture,this.framebuffer),this.debug&&h.validateFramebuffer(this.gl)):h.unbindColorTextureFromFramebuffer(this.gl,this.framebuffer)}},{key:"downloadMatrixDriver",value:function(e,t){this.bindTextureToFrameBuffer(e);var r=t();return this.unbindTextureToFrameBuffer(),r}},{key:"setOutputMatrixTextureDriver",value:function(e,t,r){this.throwIfDisposed();var n=this.gl;h.bindColorTextureToFramebuffer(n,e,this.framebuffer),this.debug&&h.validateFramebuffer(n),this.outputTexture=e,h.callAndCheck(n,function(){return n.viewport(0,0,t,r)}),h.callAndCheck(n,function(){return n.scissor(0,0,t,r)})}},{key:"setOutputMatrixWriteRegionDriver",value:function(e,t,r,n){var a=this;this.throwIfDisposed(),h.callAndCheck(this.gl,function(){return a.gl.scissor(e,t,r,n)})}},{key:"throwIfDisposed",value:function(){if(this.disposed)throw Error("Attempted to use disposed GPGPUContext.")}},{key:"throwIfNoProgram",value:function(){if(null==this.program)throw Error("No GPU program is currently set.")}}]),e}();function g(e){for(var t=0;t<e.length&&e[t]();++t);return t-1}},{"@swc/helpers/cjs/_async_to_generator.cjs":"cZn0e","@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_create_class.cjs":"igUuK","@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@swc/helpers/cjs/_ts_generator.cjs":"eltGh","@tensorflow/tfjs-core":"aOH7b","./canvas_util":"pEvnT","./gpgpu_util":"ar8ls","./tex_util":"fRKpU","./webgl_util":"4eDDt","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],ar8ls:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"createVertexShader",function(){return l}),a.export(r,"createVertexBuffer",function(){return p}),a.export(r,"createIndexBuffer",function(){return f}),a.export(r,"getInternalFormatForFloat32MatrixTexture",function(){return h}),a.export(r,"createFloat32MatrixTexture",function(){return m}),a.export(r,"getInternalFormatForFloat16MatrixTexture",function(){return g}),a.export(r,"createFloat16MatrixTexture",function(){return v}),a.export(r,"getInternalFormatForUnsignedBytesMatrixTexture",function(){return _}),a.export(r,"createUnsignedBytesMatrixTexture",function(){return x}),a.export(r,"getInternalFormatForPackedMatrixTexture",function(){return y}),a.export(r,"createPackedMatrixTexture",function(){return b}),a.export(r,"getInternalFormatForFloat16PackedMatrixTexture",function(){return k}),a.export(r,"createFloat16PackedMatrixTexture",function(){return j}),a.export(r,"bindVertexProgramAttributeStreams",function(){return w}),a.export(r,"uploadDenseMatrixToTexture",function(){return I}),a.export(r,"uploadPixelDataToTexture",function(){return T}),a.export(r,"createBufferFromOutputTexture",function(){return S}),a.export(r,"downloadFloat32MatrixFromBuffer",function(){return N}),a.export(r,"downloadByteEncodedFloatMatrixFromOutputTexture",function(){return M}),a.export(r,"downloadPackedMatrixFromBuffer",function(){return C}),a.export(r,"downloadMatrixFromPackedOutputTexture",function(){return E});var s=e("@swc/helpers/cjs/_sliced_to_array.cjs"),o=e("@tensorflow/tfjs-core"),i=e("./glsl_version"),c=e("./tex_util"),u=e("./webgl_util");function l(e){var t=(0,i.getGlslDifferences)(),r="".concat(t.version,"\n precision highp float;\n ").concat(t.attribute," vec3 clipSpacePos;\n ").concat(t.attribute," vec2 uv;\n ").concat(t.varyingVs," vec2 resultUV;\n\n void main() {\n gl_Position = vec4(clipSpacePos, 1);\n resultUV = uv;\n }");return u.createVertexShader(e,r)}function p(e){var t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return u.createStaticVertexBuffer(e,t)}function f(e){var t=new Uint16Array([0,1,2,2,1,3]);return u.createStaticIndexBuffer(e,t)}function d(e,t,r,n,a,s){u.validateTextureSize(t,r);var i=u.createTexture(e),c=e.TEXTURE_2D;return u.callAndCheck(e,function(){return e.bindTexture(c,i)}),u.callAndCheck(e,function(){return e.texParameteri(c,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)}),u.callAndCheck(e,function(){return e.texParameteri(c,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)}),u.callAndCheck(e,function(){return e.texParameteri(c,e.TEXTURE_MIN_FILTER,e.NEAREST)}),u.callAndCheck(e,function(){return e.texParameteri(c,e.TEXTURE_MAG_FILTER,e.NEAREST)}),1===(0,o.env)().getNumber("WEBGL_VERSION")?u.callAndCheck(e,function(){return e.texImage2D(c,0,n,t,r,0,a,s,null)}):u.callAndCheck(e,function(){return e.texStorage2D(c,1,n,t,r)}),u.callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)}),{texture:i,texShape:[r,t]}}function h(e){return e.internalFormatFloat}function m(e,t,r,n){var a=(0,s._)(c.getUnpackedMatrixTextureShapeWidthHeight(t,r),2);return d(e,a[0],a[1],h(n),n.textureFormatFloat,e.FLOAT)}function g(e){return e.internalFormatHalfFloat}function v(e,t,r,n){var a=(0,s._)(c.getUnpackedMatrixTextureShapeWidthHeight(t,r),2);return d(e,a[0],a[1],g(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function _(e){return e.downloadTextureFormat}function x(e,t,r,n){var a=(0,s._)(c.getUnpackedMatrixTextureShapeWidthHeight(t,r),2);return d(e,a[0],a[1],_(n),e.RGBA,e.UNSIGNED_BYTE)}function y(e){return e.internalFormatPackedFloat}function b(e,t,r,n){var a=(0,s._)(c.getPackedMatrixTextureShapeWidthHeight(t,r),2);return d(e,a[0],a[1],y(n),e.RGBA,e.FLOAT)}function k(e){return e.internalFormatPackedHalfFloat}function j(e,t,r,n){var a=(0,s._)(c.getPackedMatrixTextureShapeWidthHeight(t,r),2);return d(e,a[0],a[1],k(n),e.RGBA,n.textureTypeHalfFloat)}function w(e,t,r){return u.callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,r)}),u.bindVertexBufferToProgramAttribute(e,t,"clipSpacePos",r,3,20,0)&&u.bindVertexBufferToProgramAttribute(e,t,"uv",r,2,20,12)}function I(e,t,r,n,a,s){var i,c,l;u.callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),a instanceof Uint8Array?(i=new Uint8Array(r*n*4),c=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(r*n*4),c=e.FLOAT,l=s.internalFormatPackedFloat),i.set(a),2===(0,o.env)().getNumber("WEBGL_VERSION")?u.callAndCheck(e,function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,r,n,e.RGBA,c,i)}):u.callAndCheck(e,function(){return e.texImage2D(e.TEXTURE_2D,0,l,r,n,0,e.RGBA,c,i)}),u.callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function T(e,t,r){u.callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),r.data instanceof Uint8Array?2===(0,o.env)().getNumber("WEBGL_VERSION")?u.callAndCheck(e,function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,r.width,r.height,e.RGBA,e.UNSIGNED_BYTE,r.data)}):u.callAndCheck(e,function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,r.width,r.height,0,e.RGBA,e.UNSIGNED_BYTE,r.data)}):2===(0,o.env)().getNumber("WEBGL_VERSION")?u.callAndCheck(e,function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,r)}):u.callAndCheck(e,function(){return 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p={kernelName:o.Neg,backendName:"cpu",kernelFunc:l}},{"@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@tensorflow/tfjs-core":"aOH7b","../cpu_util":"aNlof","./Multiply":"1KdVu","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],fUUlH:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"notEqualImpl",function(){return c}),a.export(r,"notEqual",function(){return u}),a.export(r,"notEqualConfig",function(){return l});var s=e("@tensorflow/tfjs-core"),o=e("../utils/binary_impl"),i=e("../utils/binary_utils"),c=(0,o.createSimpleBinaryKernelImpl)(function(e,t){return+(e!==t)}),u=(0,i.binaryKernelFunc)(s.NotEqual,c,null,"bool"),l={kernelName:s.NotEqual,backendName:"cpu",kernelFunc:u}},{"@tensorflow/tfjs-core":"aOH7b","../utils/binary_impl":"dGtkM","../utils/binary_utils":"iyKoU","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],lP33Z:[function(e,t,r,n){var 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this.calculateOutputIndexValueRowID(a,t,r,n);case c.ROW_SPLITS:if(a.length-1>t.length)throw Error("Row partition size is greater than output size: ".concat(a.length-1," > ").concat(t.length));return this.calculateOutputIndexRowSplit(a,t,r,n);default:throw Error("Unsupported partition type: ".concat(c[s]))}}},{key:"getFirstDimensionSize",value:function(){var e=this.rowPartitionValues[0];if(0===this.rowPartitionTypes.length)throw Error("No row_partition_types given.");var t=this.rowPartitionTypes[0];switch(t){case c.FIRST_DIM_SIZE:return e[0];case c.VALUE_ROWIDS:throw Error("Cannot handle VALUE_ROWIDS in first dimension.");case c.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw Error("Cannot handle type ".concat(c[t]))}}},{key:"compute",value:function(){if(this.rowPartitionValues[0].length<=0)throw Error("Invalid first partition input. Tensor requires at least one element.");var e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),r=Array(this.raggedRank+1);r[r.length-1]=1;for(var n=r.length-2;n>=0;--n)r[n]=r[n+1]*t[n+1];var a=p(t,!1),s=i.util.getArrayFromDType(this.valuesDType,i.util.sizeFromShape(a));if(r[0]*t[0]>0){for(var o=this.calculateFirstParentOutputIndex(e,r[0],t[0]),c=1;c<=this.raggedRank;++c)o=this.calculateOutputIndex(c-1,o,r[c],t[c]);this.setOutput(this.raggedRank,o,s,a)}return[a,s]}},{key:"setOutput",value:function(e,t,r,n){if(0!==r.length){var a=this.values,s=n.slice();s=s.slice(e+1);var o=i.util.sizeFromShape(s),c=t.length,u=this.defaultValue;if(u.length!==o&&1!==u.length){var p=this.defaultValueShape;(0,i.tidy)(function(){var e=(0,i.reshape)(u,p);u=(0,i.broadcastTo)(e,s).dataSync()})}for(var f=0,d=0,h=0,m=0;m<=c;++m){var g=m<c?t[m]:-1;if(g===h){++h;continue}if(d<h){var v=a.subarray(f*o);l(r.subarray(d*o),v,(h-d)*o)}if(m>=c&&(g=Math.floor(r.length/o)),g>h)if(1===this.defaultValue.length)r.subarray(h*o,g*o).fill(this.defaultValue[0]),h=g;else for(;g>h;)l(r.slice(h*o),u,o),++h;g<0?(f=m+1,d=h):(f=m,h=(d=h)+1)}}}}],[{key:"getMaxWidthRowSplit",value:function(e){var t=e.length;if(0===t||1===t)return 0;for(var r=0,n=0;n<t-1;++n){var a=e[n+1]-e[n];a>r&&(r=a)}return r}},{key:"getMaxWidthValueRowID",value:function(e){var t=e.length;if(0===t)return 0;for(var r=0,n=e[0],a=0,s=1;s<t;++s){var o=e[s];o!==n&&(n=o,a=Math.max(s-r,a),r=s)}return Math.max(t-r,a)}}]),e}();function l(e,t,r){for(var n=0;n<r;n++)e[n]=t[n]}function p(e,t){var r=[],n=!0,a=!1,s=void 0;try{for(var o,i=e[Symbol.iterator]();!(n=(o=i.next()).done);n=!0){var c=o.value;if(c<0){if(!t)throw Error("Dimension ".concat(c," must be >= 0"));if(c<-1)throw Error("Dimension ".concat(c," must be >= -1"));c=-1}r.push(c)}}catch(e){a=!0,s=e}finally{try{n||null==i.return||i.return()}finally{if(a)throw s}}return 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h=t[r],m=n,g=a;for(s.util.swap(t,n,r),o(t[a],h)>0&&s.util.swap(t,n,a);m<g;){for(s.util.swap(t,m,g),m++,g--;0>o(t[m],h);)m+=1;for(;o(t[g],h)>0;)g-=1}0===o(t[n],h)?s.util.swap(t,n,g):(g+=1,s.util.swap(t,g,a)),g<=r&&(n=g+1),r<=g&&(a=g-1)}}(c,n),c=c.slice(0,n)),a&&c.sort(o);for(var u=t*n,d=p.subarray(u,u+n),h=f.subarray(u,u+n),m=0;m<n;m++)d[m]=c[m].value,h[m]=c[m].index}(d);var h=t.slice();return h[h.length-1]=n,[(0,s.buffer)(h,r,p),(0,s.buffer)(h,"int32",f)]}},{"@tensorflow/tfjs-core":"aOH7b","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"45rzo":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"uniqueImpl",function(){return o});var s=e("@tensorflow/tfjs-core");function o(e,t,r,n){for(var a=s.util.parseAxisParam(t,r)[0],o=[1,r[0],1],i=0;i<a;i++)o[0]*=r[i];o[1]=r[a];for(var c=a+1;c<r.length;c++)o[2]*=r[c];for(var u=new Map,l=new Int32Array(r[a]),p=new(0,s.TensorBuffer)(o,n,e),f=[],d=1===o[0]&&1===o[2],h=0;h<r[a];h++){var m=void 0;if(d)m=e[h].toString();else{for(var g=[],v=0;v<o[0];v++)for(var _=0;_<o[2];_++)g.push(p.get(v,h,_));m=g.join(",")}var x=u.get(m);if(null!=x)l[h]=x;else{var y=u.size;u.set(m,y),l[h]=y,f.push(h)}}var b=o.slice();b[1]=u.size;var k=new(0,s.TensorBuffer)(b,n);f.forEach(function(e,t){for(var r=0;r<o[0];r++)for(var n=0;n<o[2];n++)k.set(p.get(r,e,n),r,t,n)});var j=r.slice();return j[a]=b[1],{outputValues:k.values,outputShape:j,indices:l}}},{"@tensorflow/tfjs-core":"aOH7b","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],eOVAZ:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"PackProgram",function(){return l});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@swc/helpers/cjs/_create_class.cjs"),i=e("./gpgpu_math"),c=e("./packing_util"),u=e("./shader_compiler"),l=function(){"use strict";function e(t){if((0,s._)(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.enableShapeUniforms=(0,i.useShapeUniforms)(this.outputShape.length),0===this.rank)this.userCode="\n void main() {\n setOutput(vec4(getA(), 0., 0., 0.));\n }\n ";else{var r=(0,c.getChannels)("rc",this.rank),n=(0,u.getCoordsDataType)(this.rank),a=this.getOutOfBoundsCondition(r),o=this.getSetup(r),l=this.getOutput(r);this.userCode="\n void main() {\n ".concat(n," rc = getOutputCoords();\n\n if(").concat(a,") {\n setOutput(vec4(0));\n } else {\n ").concat(o,"\n\n setOutput(vec4(").concat(l,"));\n }\n }\n ")}}return(0,o._)(e,[{key:"getSourceCoordsArr",value:function(e){for(var t=[],r=0;r<=1;r++)for(var n=0;n<=1;n++){for(var a="".concat(0===r?"r":"rp1",", ").concat(0===n?"c":"cp1"),s=2;s<this.rank;s++)a="".concat(e[e.length-1-s],",")+a;t.push(a)}return t}},{key:"getOutOfBoundsCondition",value:function(e){if(1===this.rank)return"rc >".concat(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",r=this.rank-2;r<this.rank;r++)t+="".concat(e[r]," >= ").concat(this.enableShapeUniforms?"outShape[".concat(r,"]"):this.outputShape[r]),r<this.rank-1&&(t+="||");return t}},{key:"getSetup",value:function(e){if(1===this.rank)return"";var t=e.slice(-2),r=this.enableShapeUniforms?"outShape[".concat(this.rank," - 1]"):this.outputShape[this.rank-1],n=this.enableShapeUniforms?"outShape[".concat(this.rank," - 2]"):this.outputShape[this.rank-2];return"\n int r = ".concat(t[0],";\n int c = ").concat(t[1],";\n int rp1 = r + 1;\n int cp1 = c + 1;\n\n bool cEdge = cp1 >= ").concat(r,";\n bool rEdge = rp1 >= ").concat(n,";\n ")}},{key:"getOutput",value:function(e){var t=this.getSourceCoordsArr(e);if(1===this.rank){var r=this.enableShapeUniforms?"outShape":this.outputShape[0];return"getA(rc), (rc + 1 >= ".concat(r," ? 0. : getA(rc + 1)), 0, 0")}return"getA(".concat(t[0],"),\n cEdge ? 0. : getA(").concat(t[1],"),\n rEdge ? 0. : getA(").concat(t[2],"),\n rEdge || cEdge ? 0. : getA(").concat(t[3],")")}}]),e}()},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_create_class.cjs":"igUuK","./gpgpu_math":"7KkpX","./packing_util":"iRNUv","./shader_compiler":"aJ4l7","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],iRNUv:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");function s(e,t){return["x","y","z","w","u","v"].slice(0,t).map(function(t){return"".concat(e,".").concat(t)})}function o(e,t){return 1===t?[e]:s(e,t)}function i(e,t){if(1===e)return"rc";for(var r="",n=0;n<e;n++)r+=t[n],n<e-1&&(r+=",");return r}a.defineInteropFlag(r),a.export(r,"getVecChannels",function(){return s}),a.export(r,"getChannels",function(){return o}),a.export(r,"getSourceCoords",function(){return i})},{"@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],bEUJk:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"ReshapePackedProgram",function(){return c});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("./gpgpu_math"),i=e("./shader_compiler_util"),c=function e(t,r){"use strict";(0,s._)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=(0,o.useShapeUniforms)(this.outputShape.length);for(var n,a,c="",u=0;u<4;u++){var l="thisRC = rc;";u%2==1&&(l+="thisRC.z += 1;"),u>1&&(l+="thisRC.y += 1;"),c+="\n ".concat(l,"\n ").concat(u>0?"if(thisRC.y< rows && thisRC.z < cols){":"","\n int flatIndex = getFlatIndex(thisRC);\n\n ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n result[").concat(u,"] =\n getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n ").concat(u>0?"}":"","\n ")}this.userCode="\n ".concat((n=r,a=this.enableShapeUniforms?i.getLogicalCoordinatesFromFlatIndexByUniform(["r","c","d"],"inputShape"):i.getLogicalCoordinatesFromFlatIndex(["r","c","d"],n),"\n ivec3 inputCoordsFromReshapedOutCoords(int index) {\n ".concat(a,"\n return ivec3(r, c, d);\n }\n ")),"\n ").concat(this.enableShapeUniforms?i.getFlatIndexFrom3DOutput():i.getFlatIndexFrom3D(t),"\n\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0.);\n\n ivec3 thisRC;\n int rows = ").concat(this.enableShapeUniforms?"outShape[1]":t[1],";\n int cols = ").concat(this.enableShapeUniforms?"outShape[2]":t[2],";\n\n ").concat(c,"\n\n setOutput(result);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","./gpgpu_math":"7KkpX","./shader_compiler_util":"l0BJT","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],j7Rk3:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"TextureManager",function(){return p}),a.export(r,"computeBytes",function(){return f});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@swc/helpers/cjs/_create_class.cjs"),i=e("@swc/helpers/cjs/_sliced_to_array.cjs"),c=e("@tensorflow/tfjs-core"),u=e("./gpgpu_util"),l=e("./tex_util"),p=function(){"use strict";function e(t){(0,s._)(this,e),this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}return(0,o._)(e,[{key:"acquireTexture",value:function(e,t,r){var n,a=d(t,r),s=h(e,a,r);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);var o=f(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,r);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var i=this.freeTextures[s].pop();return this.usedTextures[s].push(i),i}return a===l.PhysicalTextureType.PACKED_2X2_FLOAT32?n=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===l.PhysicalTextureType.PACKED_2X2_FLOAT16?n=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===l.PhysicalTextureType.UNPACKED_FLOAT32?n=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===l.PhysicalTextureType.UNPACKED_FLOAT16?n=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===l.PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE&&(n=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[s].push(n),this.numUsedTextures++,this._numBytesAllocated+=o,this.log(),n}},{key:"releaseTexture",value:function(e,t,r,n){if(null!=this.freeTextures){var a=d(r,n),s=h(t,a,n);s in this.freeTextures||(this.freeTextures[s]=[]);var o=f(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,n),i=(0,c.env)().getNumber("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==i&&this._numBytesAllocated>i?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=o):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[s],l=u&&u.indexOf(e);if(null==l||l<0)throw Error("Cannot release a texture that was never provided by this texture manager");u[l]=u[u.length-1],u.pop(),this.log()}}},{key:"log",value:function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used","".concat(this.numFreeTextures," / ").concat(this.numUsedTextures),"(".concat(e,")"));var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: ".concat(this._numBytesAllocated)),console.log("Bytes unused: ".concat(this._numBytesFree," (").concat(Math.round(100*t),"%)"))}}},{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}},{key:"getNumUsedTextures",value:function(){return this.numUsedTextures}},{key:"getNumFreeTextures",value:function(){return this.numFreeTextures}},{key:"dispose",value:function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t.texture)});for(var r in this.usedTextures)this.usedTextures[r].forEach(function(t){e.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}]),e}();function f(e,t,r,n,a){var s,o=function(e,t){switch(e){case l.PhysicalTextureType.PACKED_2X2_FLOAT32:return(0,u.getInternalFormatForPackedMatrixTexture)(t);case l.PhysicalTextureType.PACKED_2X2_FLOAT16:return(0,u.getInternalFormatForFloat16PackedMatrixTexture)(t);case l.PhysicalTextureType.UNPACKED_FLOAT32:return(0,u.getInternalFormatForFloat32MatrixTexture)(t);case l.PhysicalTextureType.UNPACKED_FLOAT16:return(0,u.getInternalFormatForFloat16MatrixTexture)(t);case l.PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE:return(0,u.getInternalFormatForUnsignedBytesMatrixTexture)(t);default:throw Error("Unknown physical texture type ".concat(e))}}(t,n);if(a){var c=(0,i._)((0,l.getPackedMatrixTextureShapeWidthHeight)(e[0],e[1]),2);s=c[0]*c[1]}else{var p=(0,i._)((0,l.getUnpackedMatrixTextureShapeWidthHeight)(e[0],e[1]),2);s=p[0]*p[1]}return s*function(e,t){if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===e.RGBA16F)return 8;else if(t===e.RGBA8)return 4;throw Error("Unknown internal format ".concat(t))}(r,o)}function d(e,t){if(e===l.TextureUsage.UPLOAD)return l.PhysicalTextureType.PACKED_2X2_FLOAT32;if(e===l.TextureUsage.RENDER||null==e)return(0,c.env)().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?l.PhysicalTextureType.PACKED_2X2_FLOAT32:l.PhysicalTextureType.UNPACKED_FLOAT32:t?l.PhysicalTextureType.PACKED_2X2_FLOAT16:l.PhysicalTextureType.UNPACKED_FLOAT16;if(e===l.TextureUsage.DOWNLOAD||e===l.TextureUsage.PIXELS)return l.PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;throw Error("Unknown logical texture type ".concat(e))}function h(e,t,r){return"".concat(e[0],"_").concat(e[1],"_").concat(t,"_").concat(r)}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_create_class.cjs":"igUuK","@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@tensorflow/tfjs-core":"aOH7b","./gpgpu_util":"ar8ls","./tex_util":"fRKpU","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"66B4A":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"UnaryOpProgram",function(){return i}),a.export(r,"CHECK_NAN_SNIPPET",function(){return c}),a.export(r,"LINEAR",function(){return u}),a.export(r,"ABS",function(){return l}),a.export(r,"STEP",function(){return p}),a.export(r,"ELU",function(){return f}),a.export(r,"RELU",function(){return d}),a.export(r,"RELU6",function(){return h}),a.export(r,"CLONE",function(){return m}),a.export(r,"SIGMOID",function(){return g});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("./gpgpu_math"),i=function e(t,r){"use strict";(0,s._)(this,e),this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=(0,o.useShapeUniforms)(this.outputShape.length),this.userCode="\n float unaryOperation(float x) {\n ".concat(r,"\n }\n\n void main() {\n float x = getAAtOutCoords();\n float y = unaryOperation(x);\n\n setOutput(y);\n }\n ")},c="if (isnan(x)) return x;",u="return x;",l="return abs(x);";function p(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:0;return c+"\n return x > 0.0 ? 1.0 : float(".concat(e,");\n ")}var f="return (x >= 0.0) ? x : (exp(x) - 1.0);",d=c+"\n return (x< 0.0) ? 0.0 : x;\n",h=c+"\n return (x < 0.0) ? 0.0 : min(6.0, x);\n",m="return x;",g="return 1.0 / (1.0 + exp(-1.0 * x));"},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","./gpgpu_math":"7KkpX","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],jwqfd:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"LINEAR",function(){return i}),a.export(r,"ELU",function(){return c}),a.export(r,"RELU",function(){return u}),a.export(r,"RELU6",function(){return l}),a.export(r,"SIGMOID",function(){return p}),a.export(r,"UnaryOpPackedProgram",function(){return f});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("./gpgpu_math"),i="return x;",c="\n vec4 result;\n\n result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n return result;\n",u="\n vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n",l="\n vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n bvec4 isNaN = isnan(x);\n\n result.r = isNaN.r ? x.r : result.r;\n result.g = isNaN.g ? x.g : result.g;\n result.b = isNaN.b ? x.b : result.b;\n result.a = isNaN.a ? x.a : result.a;\n\n return result;\n",p="return 1.0 / (1.0 + exp(-1.0 * x));",f=function e(t,r){"use strict";(0,s._)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=(0,o.useShapeUniforms)(this.outputShape.length),this.userCode="\n vec4 unaryOperation(vec4 x) {\n ".concat(r,"\n }\n\n void main() {\n vec4 x = getAAtOutCoords();\n vec4 y = unaryOperation(x);\n\n setOutput(y);\n }\n 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s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@tensorflow/tfjs-core"),i=e("./gpgpu_math"),c=e("./packing_util"),u=e("./shader_compiler"),l="\n result.r = isNaN.r ? 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a=e("@parcel/transformer-js/src/esmodule-helpers.js");function s(e){var t=e.inputs,r=e.backend,n=t.x;return r.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}a.defineInteropFlag(r),a.export(r,"identity",function(){return s}),a.export(r,"identityConfig",function(){return o});var o={kernelName:e("@tensorflow/tfjs-core").Identity,backendName:"webgl",kernelFunc:s}},{"@tensorflow/tfjs-core":"aOH7b","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"6XqKe":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"LEAKYRELU",function(){return c}),a.export(r,"LEAKYRELU_PACKED",function(){return u}),a.export(r,"leakyRelu",function(){return l}),a.export(r,"leakyReluConfig",function(){return p});var s=e("@tensorflow/tfjs-core"),o=e("../binaryop_gpu"),i=e("../binaryop_packed_gpu"),c="return (a< 0.) ? b * a : a;",u="\n vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n return (aLessThanZero * (b * a)) + ((vec4(1.0) - 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c={kernelName:s.Transpose,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","./Transpose_impl":[["transposeImpl","4U2p6"],["transposeImplCPU","gN7B4"]],"@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"5tF6f":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"abs",function(){return l}),a.export(r,"absConfig",function(){return p});var s=e("@tensorflow/tfjs-core"),o=e("../kernel_utils/shared"),i=e("../unaryop_gpu"),c=e("../unaryop_packed_gpu"),u="return abs(x);";function l(e){var t,r=e.inputs,n=e.backend,a=r.x;if(n.shouldExecuteOnCPU([a])&&"complex64"!==a.dtype){var l=n.texData.get(a.dataId),p=(0,o.simpleAbsImplCPU)(l.values);return n.makeTensorInfo(a.shape,a.dtype,p)}return t=(0,s.env)().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new(0,c.UnaryOpPackedProgram)(a.shape,u):new(0,i.UnaryOpProgram)(a.shape,u),n.runWebGLProgram(t,[a],a.dtype)}var 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p}),a.export(r,"atan2Config",function(){return f});var s=e("@tensorflow/tfjs-core"),o=e("../binaryop_gpu"),i=e("../binaryop_packed_gpu"),c=e("../kernel_utils/kernel_funcs_utils"),u=o.CHECK_NAN_SNIPPET+"\n return atan(a, b);\n",l="\n vec4 result = atan(a, b);\n bvec4 isNaNA = isnan(a);\n bvec4 isNaNB = isnan(b);\n bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n "+i.CHECK_NAN_SNIPPET_PACKED+"\n return result;\n",p=(0,c.binaryKernelFunc)({opSnippet:u,packedOpSnippet:l}),f={kernelName:s.Atan2,backendName:"webgl",kernelFunc:p}},{"@tensorflow/tfjs-core":"aOH7b","../binaryop_gpu":"khC4O","../binaryop_packed_gpu":"hSRNa","../kernel_utils/kernel_funcs_utils":"hHZZj","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"6NE1C":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"atanh",function(){return c}),a.export(r,"atanhConfig",function(){return u});var s=e("@tensorflow/tfjs-core"),o=e("../kernel_utils/kernel_funcs_utils"),i=e("../unaryop_gpu").CHECK_NAN_SNIPPET+"\n if ((x< -1.0) || (x >1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;",c=(0,o.unaryKernelFunc)({opSnippet:i}),u={kernelName:s.Atanh,backendName:"webgl",kernelFunc:c}},{"@tensorflow/tfjs-core":"aOH7b","../kernel_utils/kernel_funcs_utils":"hHZZj","../unaryop_gpu":"66B4A","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"8S4Mt":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"avgPool",function(){return u}),a.export(r,"avgPoolConfig",function(){return l});var s=e("@tensorflow/tfjs-core"),o=e("../pool_gpu"),i=e("../webgl_util"),c=e("./Identity");function u(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x;(0,i.assertNotComplex)(a,"avgPool");var u=n.filterSize,l=n.strides,p=n.pad,f=n.dimRoundingMode;s.util.assert(s.backend_util.eitherStridesOrDilationsAreOne(l,1),function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(l," and dilations '").concat(1,"'")});var d=s.backend_util.computePool2DInfo(a.shape,u,l,1,p,f);if(1===d.filterWidth&&1===d.filterHeight&&s.util.arraysEqual(d.inShape,d.outShape))return(0,c.identity)({inputs:{x:a},backend:r});var h=new(0,o.Pool2DProgram)(d,"avg",!1);return r.runWebGLProgram(h,[a],"float32")}var l={kernelName:s.AvgPool,backendName:"webgl",kernelFunc:u}},{"@tensorflow/tfjs-core":"aOH7b","../pool_gpu":"hwopl","../webgl_util":"4eDDt","./Identity":"8GOL4","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],hwopl:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"Pool2DProgram",function(){return o}),a.export(r,"Pool3DProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=function e(t,r,n){"use strict";var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],o=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if((0,s._)(this,e),this.variableNames=["x"],"avg"===r&&n)throw Error("Cannot compute positions for average pool.");var i=t.filterWidth,c=t.strideHeight,u=t.strideWidth,l=t.dilationHeight,p=t.dilationWidth,f=t.effectiveFilterHeight,d=t.effectiveFilterWidth,h=t.padInfo.top,m=t.padInfo.left;this.outputShape=t.outShape;var g="avg"===r,v="((batch * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),_="(xR * ".concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),x="0.0";if(g||(x="-1.0 / 1e-20"),n){this.userCode="\n const ivec2 strides = ivec2(".concat(c,", ").concat(u,");\n const ivec2 pads = ivec2(").concat(h,", ").concat(m,");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n float avgValue = 0.0;\n\n for (int wR = 0; wR< ").concat(f,";\n wR += ").concat(l,") {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int wC = 0; wC< ").concat(d,";\n wC += ").concat(p,") {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ").concat(t.inWidth,") {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ").concat(">="," currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ").concat(a?o?v:_:"wR * ".concat(d," + wC"),";\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n ");return}var y="".concat(r,"(").concat(r,"(").concat(r,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===r&&(y="avgValue / max(count, 1.0)");var b=4*Math.floor(i/4),k=i%4,j="\n if (".concat(g,") {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ").concat("max","(values, minMaxValue);\n }\n ");this.userCode="\n const ivec2 strides = ivec2(".concat(c,", ").concat(u,");\n const ivec2 pads = ivec2(").concat(h,", ").concat(m,");\n const float initializationValue = ").concat(x,";\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC< 0 || xC >= ").concat(t.inWidth,") {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4(").concat(x,");\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR< ").concat(f,";\n wR += ").concat(l,") {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int wC = 0; wC< ").concat(b,"; wC += 4) {\n int xC = xCCorner + wC * ").concat(p,";\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ").concat(p,", d),\n getValue(batch, xR, xC + 2 * ").concat(p,", d),\n getValue(batch, xR, xC + 3 * ").concat(p,", d)\n );\n\n ").concat(j,"\n }\n\n int xC = xCCorner + ").concat(b,";\n if (").concat(1===k,") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ").concat(j,"\n } else if (").concat(2===k,") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ").concat(p,", d),\n initializationValue,\n initializationValue\n );\n\n ").concat(j,"\n } else if (").concat(3===k,") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + ").concat(p,", d),\n getValue(batch, xR, xC + 2 * ").concat(p,", d),\n initializationValue\n );\n\n ").concat(j,"\n }\n }\n setOutput(").concat(y,");\n }\n ")},i=function e(t,r,n){"use strict";var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],o=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if((0,s._)(this,e),this.variableNames=["x"],"avg"===r&&n)throw Error("Cannot compute positions for average pool.");var i=t.filterWidth,c=t.strideDepth,u=t.strideHeight,l=t.strideWidth,p=t.dilationDepth,f=t.dilationHeight,d=t.dilationWidth,h=t.effectiveFilterDepth,m=t.effectiveFilterHeight,g=t.effectiveFilterWidth,v=t.padInfo.front,_=t.padInfo.top,x=t.padInfo.left;this.outputShape=t.outShape;var y="avg"===r,b="0.0";if(y||(b="-1.0 / 1e-20"),n){this.userCode="\n const ivec3 strides =\n ivec3(".concat(c,", ").concat(u,", ").concat(l,");\n const ivec3 pads = ivec3(").concat(v,", ").concat(_,", ").concat(x,");\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n // ? = to be determined\n float minMaxValue = 0.0;\n float minMaxValueFound = 0.0;\n int minMaxPosition = 0;\n\n for (int wD = 0; wD< ").concat(h,";\n wD += ").concat(p,") {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ").concat(t.inDepth,") {\n continue;\n }\n\n for (int wR = 0; wR< ").concat(m,";\n wR += ").concat(f,") {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int wC = 0; wC< ").concat(g,";\n wC += ").concat(d,") {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= ").concat(t.inWidth,") {\n continue;\n }\n\n float value = getX(batch, xD, xR, xC, ch);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value ").concat(">="," currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = ").concat(a?o?"(((batch * ".concat(t.inDepth," + xD) * ").concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"((xD * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"wD * ".concat(m," * ").concat(g," +\n wR * ").concat(g," + wC"),";\n }\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n ");return}var k="".concat(r,"(").concat(r,"(").concat(r,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===r&&(k="avgValue / max(count, 1.0)");var j=4*Math.floor(i/4),w=i%4,I="\n if (".concat(y,") {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = ").concat("max","(values, minMaxValue);\n }\n ");this.userCode="\n const ivec3 strides =\n ivec3(".concat(c,", ").concat(u,", ").concat(l,");\n const ivec3 pads = ivec3(").concat(v,", ").concat(_,", ").concat(x,");\n const float initializationValue = ").concat(b,";\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xD, int xR, int xC, int ch) {\n if (xC< 0 || xC >= ").concat(t.inWidth,") {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xD, xR, xC, ch);\n }\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xDCorner = xCorner.x;\n int xRCorner = xCorner.y;\n int xCCorner = xCorner.z;\n\n // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n // ? = to be determined\n vec4 minMaxValue = vec4(").concat(b,");\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wD = 0; wD< ").concat(h,";\n wD += ").concat(p,") {\n int xD = xDCorner + wD;\n\n if (xD < 0 || xD >= ").concat(t.inDepth,") {\n continue;\n }\n\n for (int wR = 0; wR< ").concat(m,";\n wR += ").concat(f,") {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int wC = 0; wC< ").concat(j,"; wC += 4) {\n int xC = xCCorner + wC * ").concat(d,";\n\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ").concat(d,", ch),\n getValue(batch, xD, xR, xC + 2 * ").concat(d,", ch),\n getValue(batch, xD, xR, xC + 3 * ").concat(d,", ch)\n );\n\n ").concat(I,"\n }\n\n int xC = xCCorner + ").concat(j,";\n if (").concat(1===w,") {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n ").concat(I,"\n } else if (").concat(2===w,") {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ").concat(d,", ch),\n initializationValue,\n initializationValue\n );\n\n ").concat(I,"\n } else if (").concat(3===w,") {\n vec4 values = vec4(\n getValue(batch, xD, xR, xC, ch),\n getValue(batch, xD, xR, xC + ").concat(d,", ch),\n getValue(batch, xD, xR, xC + 2 * ").concat(d,", ch),\n initializationValue\n );\n\n ").concat(I,"\n }\n }\n }\n setOutput(").concat(k,");\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],lcts5:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"avgPool3D",function(){return i}),a.export(r,"avgPool3DConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../pool_gpu");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,i=n.filterSize,c=n.strides,u=n.pad,l=n.dimRoundingMode,p=n.dataFormat,f=s.backend_util.computePool3DInfo(a.shape,i,c,[1,1,1],u,l,p),d=new(0,o.Pool3DProgram)(f,"avg",!1);return r.runWebGLProgram(d,[a],"float32")}var c={kernelName:s.AvgPool3D,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../pool_gpu":"hwopl","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],gR3H7:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"avgPool3DGrad",function(){return i}),a.export(r,"avgPool3DGradConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../avg_pool_backprop_gpu");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.dy,i=t.input,c=n.filterSize,u=n.strides,l=n.pad,p=n.dimRoundingMode,f=s.backend_util.computePool3DInfo(i.shape,c,u,[1,1,1],l,p),d=new(0,o.AvgPool3DBackpropProgram)(f);return r.runWebGLProgram(d,[a],i.dtype)}var c={kernelName:s.AvgPool3DGrad,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../avg_pool_backprop_gpu":"3lMmh","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"3lMmh":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"AvgPool2DBackpropProgram",function(){return o}),a.export(r,"AvgPool3DBackpropProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var r=t.filterHeight,n=t.filterWidth,a=t.strideHeight,o=t.strideWidth,i=t.dilationHeight,c=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,p=u-1-t.padInfo.top,f=l-1-t.padInfo.left;this.userCode="\n const ivec2 pads = ivec2(".concat(p,", ").concat(f,");\n const float avgMultiplier = float(").concat(1/(r*n),");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n\n ivec2 dyRCCorner = coords.yz - pads;\n int dyRCorner = dyRCCorner.x;\n int dyCCorner = dyRCCorner.y;\n\n // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < ").concat(u,";\n wR += ").concat(i,") {\n float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n for (int wC = 0; wC< ").concat(l,";\n wC+= ").concat(c,") {\n float dyC = float(dyCCorner + wC) / ").concat(o,".0;\n\n if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n float dyValue = getDy(b, idyR, idyC, d);\n\n dotProd += dyValue * avgMultiplier;\n }\n }\n setOutput(dotProd);\n }\n ")},i=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var r=t.filterDepth,n=t.filterHeight,a=t.filterWidth,o=t.strideDepth,i=t.strideHeight,c=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,p=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,m=f-1-t.padInfo.front,g=d-1-t.padInfo.top,v=h-1-t.padInfo.left;this.userCode="\n const ivec3 pads = ivec3(".concat(m,", ").concat(g,", ").concat(v,");\n const float avgMultiplier = float(").concat(1/(r*n*a),");\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int ch = coords.u;\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyDCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n // dx(xD, xR, xC, ch).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int wD = 0; wD< ").concat(f,";\n wD += ").concat(u,") {\n float dyD = float(dyDCorner + wD) / ").concat(o,".0;\n\n if 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a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"BatchNormPackedProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@tensorflow/tfjs-core"),i=function e(t,r,n,a,i,c){"use strict";(0,s._)(this,e),this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],o.backend_util.assertAndGetBroadcastShape(t,r),o.backend_util.assertAndGetBroadcastShape(t,n);var u="vec4(0.0)";null!=a&&(o.backend_util.assertAndGetBroadcastShape(t,a),this.variableNames.push("offset"),u="getOffsetAtOutCoords()");var l="vec4(1.0)";null!=i&&(o.backend_util.assertAndGetBroadcastShape(t,i),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n void main() {\n vec4 offset = ".concat(u,";\n vec4 scale = ").concat(l,";\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + 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f.uploadToGPU(h.dataId),t=f.texData.get(h.dataId),r=f.makeTensorInfo(x,h.dtype),Object.assign(n=f.texData.get(r.dataId),t),n.refCount=1,n.shape=x,n.dtype=h.dtype,a=o.slice_util.computeFlatOffset(_,o.util.computeStrides(h.shape)),t.slice&&(a+=t.slice.flatOffset),n.slice={flatOffset:a,origDataId:t.slice&&t.slice.origDataId||h.dataId},l=f.dataRefCount.get(n.slice.origDataId)||1,f.dataRefCount.set(n.slice.origDataId,l+1),r}var p={kernelName:o.Slice,backendName:"webgl",kernelFunc:l}},{"@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@tensorflow/tfjs-core":"aOH7b","../kernel_utils/shared":"gN7B4","../slice_gpu":"ki5y0","../slice_packed_gpu":"bzmDg","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],ki5y0:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"SliceProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("./shader_compiler"),i=function e(t){"use 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a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"SlicePackedProgram",function(){return c});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("./packing_util"),i=e("./shader_compiler"),c=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];var r=(0,i.getCoordsDataType)(this.rank),n=(0,o.getChannels)("coords",this.rank),a=(0,o.getChannels)("sourceLoc",this.rank),c=1===this.rank?"sourceLoc":"vec2(".concat(a.slice(-2).join(),")"),u="getChannel(getSource(".concat(a.join(),"), ").concat(c,")"),l="\n result.x = ".concat(u,";\n if (++").concat(n[this.rank-1]," < ").concat(t[this.rank-1],") {\n ++").concat(a[this.rank-1],";\n result.y = ").concat(u,";\n --").concat(a[this.rank-1],";\n }\n "),p=1===this.rank?"":"\n --".concat(n[this.rank-1],";\n if (++").concat(n[this.rank-2]," < 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d={kernelName:o.BitwiseAnd,backendName:"webgl",kernelFunc:f}},{"@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@tensorflow/tfjs-core":"aOH7b","../binaryop_gpu":"khC4O","../binaryop_packed_gpu":"hSRNa","../kernel_utils/shared":"gN7B4","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],bQ3B0:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"broadcastArgs",function(){return o}),a.export(r,"broadcastArgsConfig",function(){return i});var s=e("@tensorflow/tfjs-core");function o(e){var t=e.inputs,r=e.backend,n=t.s0,a=t.s1,o=r.readSync(n.dataId),i=r.readSync(a.dataId),c=s.backend_util.assertAndGetBroadcastShape(Array.from(o),Array.from(i));return r.makeTensorInfo([c.length],"int32",Int32Array.from(c))}var i={kernelName:s.BroadcastArgs,backendName:"webgl",kernelFunc:o}},{"@tensorflow/tfjs-core":"aOH7b","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"6wWtC":[function(e,t,r,n){var 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void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[").concat(y,"];\n\n ivec2 xRCCorner =\n ivec2(coords[").concat(_,"], coords[").concat(x,"]) * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR< ").concat(d,"; wR++) {\n int xR = xRCorner + wR * ").concat(p,";\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int wC = 0; wC< ").concat(h,"; wC++) {\n int xC = xCCorner + wC * ").concat(f,";\n\n if (xC < 0 || xC >= ").concat(t.inWidth,") {\n continue;\n }\n\n for (int d1 = 0; d1< ").concat(m,"; d1 += 4) {\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n if (").concat(v,") {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec4 xValues = vec4(\n getX(batch, d1, xR, xC),\n getX(batch, d1 + 1, xR, xC),\n getX(batch, d1 + 2, xR, xC),\n getX(batch, d1 + 3, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n\n if (").concat(1===g,") {\n\n if (").concat(v,") {\n dotProd +=\n getX(batch, xR, xC, ").concat(m,") *\n getW(wR, wC, ").concat(m,", d2);\n } else {\n dotProd +=\n getX(batch, ").concat(m,", xR, xC) *\n getW(wR, wC, ").concat(m,", d2);\n }\n\n } else if (").concat(2===g,") {\n vec2 wValues = vec2(\n getW(wR, wC, ").concat(m,", d2),\n getW(wR, wC, ").concat(m," + 1, d2)\n );\n\n if (").concat(v,") {\n vec2 xValues = vec2(\n getX(batch, xR, xC, ").concat(m,"),\n getX(batch, xR, xC, ").concat(m," + 1)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec2 xValues = vec2(\n getX(batch, ").concat(m,", xR, xC),\n getX(batch, ").concat(m," + 1, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n } else if (").concat(3===g,") {\n vec3 wValues = vec3(\n getW(wR, wC, ").concat(m,", d2),\n getW(wR, wC, ").concat(m," + 1, d2),\n getW(wR, wC, ").concat(m," + 2, d2)\n );\n\n if (").concat(v,") {\n vec3 xValues = vec3(\n getX(batch, xR, xC, ").concat(m,"),\n getX(batch, xR, xC, ").concat(m," + 1),\n getX(batch, xR, xC, ").concat(m," + 2)\n );\n dotProd += dot(xValues, wValues);\n } else {\n vec3 xValues = vec3(\n getX(batch, ").concat(m,", xR, xC),\n getX(batch, ").concat(m," + 1, xR, xC),\n getX(batch, ").concat(m," + 2, xR, xC)\n );\n dotProd += dot(xValues, wValues);\n }\n\n }\n }\n }\n\n float result = dotProd;\n ").concat(r?"result += getBiasAtOutCoords();":"","\n ").concat(k,"\n setOutput(result);\n }\n ")},i=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var r=t.padInfo.front,n=t.padInfo.top,a=t.padInfo.left,o=t.strideDepth,i=t.strideHeight,c=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,p=t.dilationWidth,f=t.filterDepth,d=t.filterHeight,h=t.filterWidth,m=4*Math.floor(t.inChannels/4),g=t.inChannels%4;this.userCode="\n const ivec3 strides = ivec3(".concat(o,", ").concat(i,", ").concat(c,");\n const ivec3 pads = ivec3(").concat(r,", ").concat(n,", ").concat(a,");\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < ").concat(f,"; wF++) {\n int xF = xFCorner + wF * ").concat(u,";\n\n if (xF < 0 || xF >= ").concat(t.inDepth,") {\n continue;\n }\n\n for (int wR = 0; wR< ").concat(d,"; wR++) {\n int xR = xRCorner + wR * ").concat(l,";\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int wC = 0; wC< ").concat(h,"; wC++) {\n int xC = xCCorner + wC * ").concat(p,";\n\n if (xC < 0 || xC >= ").concat(t.inWidth,") {\n continue;\n }\n\n for (int d1 = 0; d1< ").concat(m,"; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if (").concat(1===g,") {\n dotProd +=\n getX(batch, xF, xR, xC, ").concat(m,") *\n getW(wF, wR, wC, ").concat(m,", d2);\n } else if (").concat(2===g,") {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, ").concat(m,"),\n getX(batch, xF, xR, xC, ").concat(m," + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, ").concat(m,", d2),\n getW(wF, wR, wC, ").concat(m," + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if (").concat(3===g,") {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, ").concat(m,"),\n getX(batch, xF, xR, xC, ").concat(m," + 1),\n getX(batch, xF, xR, xC, ").concat(m," + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, ").concat(m,", d2),\n getW(wF, wR, wC, ").concat(m," + 1, d2),\n getW(wF, wR, wC, ").concat(m," + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],cOZV4:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"Conv2DPackedProgram",function(){return c});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@tensorflow/tfjs-core"),i=e("./gpgpu_math"),c=function e(t){"use strict";var r=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],c=arguments.length>4&&void 0!==arguments[4]&&arguments[4];(0,s._)(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=(0,i.useShapeUniforms)(this.outputShape.length);for(var u=t.padInfo.left,l=t.strideWidth,p=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,h="\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;",m=0;m<d;m++)h+="\n vec4 xTexelC".concat(2*m,";\n int xTexelC").concat(2*m,"Ready;\n vec4 xTexelC").concat(2*m+1,";\n int xTexelC").concat(2*m+1,"Ready;\n vec4 xC").concat(m,";");h+="\n for (int r = 0; r < ".concat(f,"; r++) {\n for (int d1 = 0; d1 < ").concat(t.inChannels,"; d1 += 2) {\n ");for(var g=0;g<d;g++)h+="\n xTexelC".concat(2*g," = vec4(0.0);\n xTexelC").concat(2*g,"Ready = 0;\n xTexelC").concat(2*g+1," = vec4(0.0);\n xTexelC").concat(2*g+1,"Ready = 0;\n xC").concat(g," = vec4(0.0);");h+="\n xR = xRCorner + r * dilations[0];\n if (xR >=0 && xR< inDims[0]) {\n ";for(var v=0;v<(d+1)/2;v++){var _=2*v;if(h+="\n xC = xCCorner + ".concat(_*p,";\n "),1===l){if(_<d&&(u%2==1?(h+="\n xCOffset = xC + 1;\n if (xCOffset >= 0 && xCOffset< inDims[1] && xTexelC".concat(_,"Ready == 0) {\n xTexelC").concat(_," = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(_,".zw = vec2(0.0);\n }\n xTexelC").concat(_,"Ready = 1;\n }\n "),1===p&&_>0?h+="\n xC".concat(_," = vec4(xTexelC").concat(_-2,".zw, xTexelC").concat(_,".xy);\n "):h+="\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset< inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC".concat(_," = vec4(previous.zw, xTexelC").concat(_,".xy);\n } else {\n xC").concat(_," = vec4(0.0, 0.0, xTexelC").concat(_,".xy);\n }\n ")):h+="\n if (xC >= 0 && xC< inDims[1] && xTexelC".concat(_,"Ready == 0) {\n xTexelC").concat(_," = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC").concat(_,".zw = vec2(0.0);\n }\n xTexelC").concat(_,"Ready = 1;\n }\n\n xC").concat(_," = xTexelC").concat(_,";\n "),_+1<d)){var x=u%2==0?o.util.nearestLargerEven(p):p;p%2==0&&u%2==1||p%2!=0&&u%2!=1?(h+="\n xCOffset = xC + imod(pads[1], 2) + ".concat(x,";\n\n if (xCOffset >= 0 && xCOffset< inDims[1] && xTexelC").concat(_+1,"Ready == 0) {\n xTexelC").concat(_+1," = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(_+1,".zw = vec2(0.0);\n }\n xTexelC").concat(_+1,"Ready = 1;\n }\n "),p>1?h+="\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset< inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n xC".concat(_+1," = vec4(previous.zw, xTexelC").concat(_+1,".xy);\n } else {\n xC").concat(_+1," = vec4(0.0, 0.0, xTexelC").concat(_+1,".xy);\n }\n "):h+="\n xC".concat(_+1," = vec4(xTexelC").concat(_,".zw, xTexelC").concat(_+1,".xy);\n ")):1===x?h+="\n xC".concat(_+1," = xTexelC").concat(_,";\n "):h+="\n xCOffset = xC + ".concat(x,";\n\n if (xCOffset >= 0 && xCOffset< inDims[1] && xTexelC").concat(_+1,"Ready == 0) {\n xTexelC").concat(_+1," = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(_+1,".zw = vec2(0.0);\n }\n xTexelC").concat(_+1,"Ready = 1;\n }\n\n xC").concat(_+1," = xTexelC").concat(_+1,";\n ")}}else _<d&&(u%2==1?(h+="\n xCOffset = xC + 1 - strides[1];\n if(xCOffset >= 0 && xCOffset< inDims[1] && xTexelC".concat(_,"Ready == 0) {\n xTexelC").concat(_," = getX(batch, xR, xCOffset, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(_,".zw = vec2(0.0);\n }\n xTexelC").concat(_,"Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1< inDims[1] && xTexelC").concat(_+1,"Ready == 0) {\n xTexelC").concat(_+1," = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC").concat(_+1,".zw = vec2(0.0);\n }\n xTexelC").concat(_+1,"Ready = 1;\n }\n\n xC").concat(_," = vec4(xTexelC").concat(_,".zw, xTexelC").concat(_+1,".zw);\n "),_+1<d&&(h+="\n final = vec4(0.0);\n xCOffset = xC + 1 + strides[1];\n if(xCOffset >= 0 && xCOffset< inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC".concat(_+1," = vec4(xTexelC").concat(_+1,".xy, final.xy);\n "))):(h+="\n if(xC >= 0 && xC< inDims[1] && xTexelC".concat(_,"Ready == 0) {\n xTexelC").concat(_," = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC").concat(_,".zw = vec2(0.0);\n }\n xTexelC").concat(_,"Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset< inDims[1] && xTexelC").concat(_+1,"Ready == 0) {\n xTexelC").concat(_+1," = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(_+1,".zw = vec2(0.);\n }\n xTexelC").concat(_+1,"Ready = 1;\n }\n\n xC").concat(_," = vec4(\n xTexelC").concat(_,".xy, xTexelC").concat(_+1,".xy);\n "),_+1<d&&(h+="\n xC".concat(_+1," = vec4(xTexelC").concat(_,".zw, xTexelC").concat(_+1,".zw);\n "))));_<d&&(h+="\n wTexel = getW(r, ".concat(_,", d1, d2);\n dotProd += xC").concat(_,".xxzz * vec4(wTexel.xy, wTexel.xy);\n if(d1 + 1 < ").concat(t.inChannels,") {\n dotProd += xC").concat(_,".yyww * vec4(wTexel.zw, wTexel.zw);\n }\n "),_+1<d&&(h+="\n wTexel = getW(r, ".concat(_+1,", d1, d2);\n dotProd += xC").concat(_+1,".xxzz * vec4(wTexel.xy, wTexel.xy);\n if(d1 + 1 < ").concat(t.inChannels,") {\n dotProd += xC").concat(_+1,".yyww * vec4(wTexel.zw, wTexel.zw);\n }\n ")))}h+="\n }\n ",h+="\n }\n ",h+="\n }\n ";var y="",b="";n&&(y=a?"vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ".concat(n,"\n }"):c?"vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ".concat(n,"\n }"):"vec4 activation(vec4 x) {\n ".concat(n,"\n }"),b="result = activation(result);"),r&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),c&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n ".concat(y,"\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n //intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.\n vec4 dotProd = vec4(0.000000000000001);\n\n ").concat(h,"\n\n vec4 result = dotProd - vec4(0.000000000000001);\n ").concat(r?"result += getBiasAtOutCoords();":"","\n ").concat(b,"\n setOutput(result);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@tensorflow/tfjs-core":"aOH7b","./gpgpu_math":"7KkpX","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],E5JcV:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"conv2dByMatMul",function(){return m}),a.export(r,"conv2dWithIm2Row",function(){return g});var s=e("@swc/helpers/cjs/_to_consumable_array.cjs"),o=e("@tensorflow/tfjs-core"),i=e("../im2col_packed_gpu"),c=e("../kernel_utils/kernel_funcs_utils"),u=e("../mulmat_packed_gpu"),l=e("../webgl_util"),p=e("./BatchMatMul_impl"),f=e("./Identity"),d=e("./Reshape");function h(e,t){var r=e.length;return r>=3?t?(0,s._)(e.slice(0,-3)).concat([e[r-3]*e[r-2],e[r-1]]):(0,s._)(e.slice(0,-3)).concat([e[r-3],e[r-2]*e[r-1]]):!t&&1===r&&e[0]>1?[e[0],1]:null}function m(e){var t=e.x,r=e.filter,n=e.convInfo,a=e.backend,s=e.bias,i=void 0===s?null:s,c=e.preluActivationWeights,u=void 0===c?null:c,m=e.leakyreluAlpha,g=void 0===m?0:m,v=e.activation,_=void 0===v?null:v,x=t.shape,y=a.texData.get(t.dataId),b=n.inChannels,k=x[0]*x[1]*x[2],j=n.outChannels,w="channelsLast"===n.dataFormat,I=[];if(null!=u){var T=h(u.shape,w);null!=T&&(u=(0,d.reshape)({inputs:{x:u},backend:a,attrs:{shape:T}}),I.push(u))}if(null!=i){var S=h(i.shape,w);null!=S&&(i=(0,d.reshape)({inputs:{x:i},backend:a,attrs:{shape:S}}),I.push(i))}if(!((1===k||1===j)&&b>p.MATMUL_SHARED_DIM_THRESHOLD)&&y.isPacked&&w&&null!=y.texture&&x[2]%2!=0&&o.util.arraysEqual(y.shape.slice(-3),x.slice(-3))){var N=x[0]*x[1]*(x[2]+1),M={dataId:t.dataId,shape:[1,N,n.inChannels],dtype:t.dtype},C=y.shape;y.shape=y.shape.slice(),y.shape[y.shape.length-2]++,o.util.assert(l.isReshapeFree(y.shape,M.shape),function(){return"packed reshape ".concat(y.shape," to ").concat(M.shape," isn't free")});var E=(0,d.reshape)({inputs:{x:r},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});I.push(E);var F=(0,p.batchMatMulImpl)({a:M,b:E,backend:a,transposeA:!1,transposeB:!1,bias:i,activation:_,preluActivationWeights:u,leakyreluAlpha:g}),A=a.texData.get(F.dataId);o.util.assert(A.isPacked,function(){return"batchMatMul result is expected to be packed"}),y.shape=C,A.shape=n.outShape,(L=(0,f.identity)({inputs:{x:F},backend:a})).shape=n.outShape,I.push(F)}else{var R=n.outHeight*n.outWidth,P=(0,d.reshape)({inputs:{x:t},backend:a,attrs:{shape:w?[n.batchSize,R,n.inChannels]:[n.batchSize,n.inChannels,R]}}),O=(0,d.reshape)({inputs:{x:r},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),D=(0,p.batchMatMulImpl)({a:w?P:O,b:w?O:P,transposeA:!w,transposeB:!1,backend:a,bias:i,activation:_,preluActivationWeights:u,leakyreluAlpha:g});L=(0,d.reshape)({inputs:{x:D},backend:a,attrs:{shape:n.outShape}}),I.push(P),I.push(O),I.push(D)}var B=!0,V=!1,G=void 0;try{for(var L,q,z=I[Symbol.iterator]();!(B=(q=z.next()).done);B=!0){var U=q.value;a.disposeIntermediateTensorInfo(U)}}catch(e){V=!0,G=e}finally{try{B||null==z.return||z.return()}finally{if(V)throw G}}return L}function g(e){var t=e.x,r=e.filter,n=e.convInfo,a=e.backend,s=e.bias,l=void 0===s?null:s,p=e.preluActivationWeights,f=void 0===p?null:p,m=e.leakyreluAlpha,g=e.activation,v=void 0===g?null:g,_=n.filterWidth,x=n.filterHeight,y=n.inChannels,b=n.outWidth,k=n.outHeight,j="channelsLast"===n.dataFormat,w=_*x*y,I=k*b,T=[n.batchSize,w,I],S=[];if(null!=f){var N=h(f.shape,j);null!=N&&(f=(0,d.reshape)({inputs:{x:f},backend:a,attrs:{shape:N}}),S.push(f))}if(null!=l){var M=h(l.shape,j);null!=M&&(l=(0,d.reshape)({inputs:{x:l},backend:a,attrs:{shape:M}}),S.push(l))}var C=(0,d.reshape)({inputs:{x:r},backend:a,attrs:{shape:[1,w,o.util.sizeFromShape(r.shape)/w]}});S.push(C);var E=new(0,i.Im2ColPackedProgram)(T,n),F=[t.shape,[n.padInfo.top,n.padInfo.left],[n.strideHeight,n.strideWidth],[n.dilationHeight,n.dilationWidth],[n.inChannels],[n.filterWidth*n.inChannels],[n.outWidth]],A=a.runWebGLProgram(E,[t],"float32",F),R=(0,d.reshape)({inputs:{x:A},backend:a,attrs:{shape:T}});S.push(A),S.push(R);var P=null!=l,O=null!=f,D="leakyrelu"===v,B=v?(0,c.mapActivationToShaderProgram)(v,!0):null,V=new(0,u.MatMulPackedProgram)(j?R.shape:C.shape,j?C.shape:R.shape,j?[n.batchSize,I,n.outChannels]:[n.batchSize,n.outChannels,I],!0,!1,P,B,O,D),G=j?[R,C]:[C,R];if(l&&G.push(l),O&&G.push(f),D){var L=a.makeTensorInfo([],"float32",o.util.createScalarValue(void 0===m?0:m,"float32"));G.push(L),S.push(L)}var q=a.runWebGLProgram(V,G,"float32"),z=(0,d.reshape)({inputs:{x:q},backend:a,attrs:{shape:n.outShape}});S.push(q);var U=!0,H=!1,W=void 0;try{for(var K,X=S[Symbol.iterator]();!(U=(K=X.next()).done);U=!0){var Q=K.value;a.disposeIntermediateTensorInfo(Q)}}catch(e){H=!0,W=e}finally{try{U||null==X.return||X.return()}finally{if(H)throw W}}return z}},{"@swc/helpers/cjs/_to_consumable_array.cjs":"i81N6","@tensorflow/tfjs-core":"aOH7b","../im2col_packed_gpu":"kne06","../kernel_utils/kernel_funcs_utils":"hHZZj","../mulmat_packed_gpu":"hKDtF","../webgl_util":"4eDDt","./BatchMatMul_impl":"6QuVj","./Identity":"8GOL4","./Reshape":"65neR","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],kne06:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"Im2ColPackedProgram",function(){return c});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("./glsl_version"),i=e("./gpgpu_math"),c=function e(t,r){"use strict";(0,s._)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=t,this.enableShapeUniforms=(0,i.useShapeUniforms)(this.outputShape.length);for(var n=r.dataFormat,a=(0,o.getGlslDifferences)(),c="channelsLast"===n,u=c?1:2,l=c?2:3,p=this.enableShapeUniforms?"if(blockIndex< outShape[2] && pos < outShape[1]) {":"if(blockIndex < ".concat(t[2]," && pos < ").concat(t[1],") {"),f="",d=0;d<=1;d++)for(var h=0;h<=1;h++)f+="\n blockIndex = rc.z + ".concat(h,";\n pos = rc.y + ").concat(d,";\n\n ").concat(p,"\n offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];\n d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);\n\n if(d0 < inputShape[").concat(u,"] && d0 >= 0) {\n // Use custom imod instead mod. On Intel GPU, mod may generate\n // unexpected value.\n // https://github.com/tensorflow/tfjs/issues/5447\n offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n inChannels);\n\n if(d1< inputShape[").concat(l,"] && d1 >= 0) {\n\n ch = imod(pos, inChannels);\n\n if (").concat(c,") {\n innerDims = vec2(d1, ch);\n result[").concat(2*d+h,"] = getChannel(\n getA(rc.x, d0, int(innerDims.x),\n int(innerDims.y)), innerDims);\n } else {\n innerDims = vec2(d0, d1);\n result[").concat(2*d+h,"] = getChannel(\n getA(rc.x, ch, int(innerDims.x),\n int(innerDims.y)), innerDims);\n }\n }\n }\n }\n ");this.userCode="\n void main() {\n ivec3 rc = getOutputCoords();\n\n vec4 result = vec4(0);\n\n int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n vec2 innerDims;\n\n ".concat(f,"\n\n ").concat(a.output," = result;\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","./glsl_version":"7QlJN","./gpgpu_math":"7KkpX","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],kt7xT:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"conv2DBackpropFilter",function(){return i}),a.export(r,"conv2DBackpropFilterConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../conv_backprop_gpu");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,i=t.dy,c=n.strides,u=n.pad,l=n.dataFormat,p=n.dimRoundingMode,f=n.filterShape,d=s.backend_util.convertConv2DDataFormat(l),h=s.backend_util.computeConv2DInfo(a.shape,f,c,1,u,p,!1,d),m=new(0,o.Conv2DDerFilterProgram)(h);return r.runWebGLProgram(m,[a,i],"float32")}var c={kernelName:s.Conv2DBackpropFilter,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../conv_backprop_gpu":"cBAtJ","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],cBAtJ:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"Conv2DDerFilterProgram",function(){return o}),a.export(r,"Conv2DDerInputProgram",function(){return i}),a.export(r,"Conv3DDerFilterProgram",function(){return c}),a.export(r,"Conv3DDerInputProgram",function(){return u});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var r=t.strideHeight,n=t.strideWidth,a=t.padInfo.top,o=t.padInfo.left,i="channelsLast"===t.dataFormat;this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int d2 = coords.w;\n\n // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n\n for (int b = 0; b< ".concat(t.batchSize,"; b++) {\n for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n int xR = wR + yR * ").concat(r," - ").concat(a,";\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int yC = 0; yC< ").concat(t.outWidth,"; yC++) {\n int xC = wC + yC * ").concat(n," - ").concat(o,";\n\n if (xC < 0 || xC >= ").concat(t.inWidth,") {\n continue;\n }\n\n ").concat(i?"float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);":"float dyValue = getDy(b, d2, yR, yC);\n float xValue = getX(b, d1, xR, xC);\n dotProd += (xValue * dyValue);","\n }\n }\n }\n setOutput(dotProd);\n }\n ")},i=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var r=t.filterHeight,n=t.filterWidth,a=t.strideHeight,o=t.strideWidth,i="channelsLast"===t.dataFormat,c=r-1-t.padInfo.top,u=n-1-t.padInfo.left;this.userCode="\n const ivec2 pads = ivec2(".concat(c,", ").concat(u,");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[").concat(i?3:1,"];\n\n ivec2 dyCorner = ivec2(coords[").concat(i?1:2,"], coords[").concat(i?2:3,"]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR< ").concat(r,"; wR++) {\n float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ").concat(r," - 1 - wR;\n\n for (int wC = 0; wC< ").concat(n,"; wC++) {\n float dyC = float(dyCCorner + wC) / ").concat(o,".0;\n\n if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ").concat(n," - 1 - wC;\n\n for (int d2 = 0; d2< ").concat(t.outChannels,"; d2++) {\n\n if (").concat(i,") {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n } else {\n float xValue = getDy(batch, d2, idyR, idyC);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n\n }\n }\n }\n setOutput(dotProd);\n }\n ")},c=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var r=t.strideDepth,n=t.strideHeight,a=t.strideWidth,o=t.padInfo.front,i=t.padInfo.top,c=t.padInfo.left;this.userCode="\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < ".concat(t.batchSize,"; b++) {\n for (int yF = 0; yF < ").concat(t.outDepth,"; yF++) {\n int xF = wF + yF * ").concat(r," - ").concat(o,";\n\n if (xF < 0 || xF >= ").concat(t.inDepth,") {\n continue;\n }\n\n for (int yR = 0; yR< ").concat(t.outHeight,"; yR++) {\n int xR = wR + yR * ").concat(n," - ").concat(i,";\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int yC = 0; yC< ").concat(t.outWidth,"; yC++) {\n int xC = wC + yC * ").concat(a," - ").concat(c,";\n\n if (xC < 0 || xC >= ").concat(t.inWidth,") {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n ")},u=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var r=t.filterDepth,n=t.filterHeight,a=t.filterWidth,o=t.strideDepth,i=t.strideHeight,c=t.strideWidth,u=r-1-t.padInfo.front,l=n-1-t.padInfo.top,p=a-1-t.padInfo.left;this.userCode="\n const ivec3 pads = ivec3(".concat(u,", ").concat(l,", ").concat(p,");\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF< ").concat(r,"; wF++) {\n float dyF = float(dyFCorner + wF) / ").concat(o,".0;\n\n if (dyF < 0.0 || dyF >= ").concat(t.outDepth,".0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = ").concat(r," - 1 - wF;\n\n for (int wR = 0; wR< ").concat(n,"; wR++) {\n float dyR = float(dyRCorner + wR) / ").concat(i,".0;\n\n if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ").concat(n," - 1 - wR;\n\n for (int wC = 0; wC< ").concat(a,"; wC++) {\n float dyC = float(dyCCorner + wC) / ").concat(c,".0;\n\n if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ").concat(a," - 1 - wC;\n\n for (int d2 = 0; d2< ").concat(t.outChannels,"; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"43wKw":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"conv2DBackpropInput",function(){return c}),a.export(r,"conv2DBackpropInputConfig",function(){return u});var s=e("@tensorflow/tfjs-core"),o=e("../conv_backprop_gpu"),i=e("../conv_backprop_packed_gpu");function c(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.dy,c=t.filter,u=n.inputShape,l=n.strides,p=n.pad,f=n.dataFormat,d=n.dimRoundingMode,h=s.backend_util.convertConv2DDataFormat(f),m=s.backend_util.computeConv2DInfo(u,c.shape,l,1,p,d,!1,h);if((0,s.env)().getBool("WEBGL_PACK_CONV2DTRANSPOSE")&&"channelsLast"===h){var g=[[m.strideHeight,m.strideWidth]],v=new(0,i.Conv2DDerInputPackedProgram)(m);return r.runWebGLProgram(v,[a,c],"float32",g)}var _=new(0,o.Conv2DDerInputProgram)(m);return r.runWebGLProgram(_,[a,c],"float32")}var u={kernelName:s.Conv2DBackpropInput,backendName:"webgl",kernelFunc:c}},{"@tensorflow/tfjs-core":"aOH7b","../conv_backprop_gpu":"cBAtJ","../conv_backprop_packed_gpu":"1Z4LT","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"1Z4LT":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"Conv2DDerInputPackedProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("./gpgpu_math"),i=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=t.inShape,this.enableShapeUniforms=(0,o.useShapeUniforms)(this.outputShape.length);var r=t.filterHeight,n=t.filterWidth,a=r-1-t.padInfo.top,i=n-1-t.padInfo.left;this.userCode="\n const ivec2 pads = ivec2(".concat(a,", ").concat(i,");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n\n ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n vec4 result = vec4(0.);\n for (int wR = 0; wR < ").concat(r,"; wR++) {\n float dyR = float(dyRCorner + wR) / strides[0];\n if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n int wRPerm = ").concat(r," - 1 - wR;\n\n for (int wC = 0; wC< ").concat(n,"; wC++) {\n int wCPerm = ").concat(n," - 1 - wC;\n\n float dyC = float(dyCCorner + wC) / strides[1];\n bool idyCVal = (dyC >= 0.0) && (dyC< ").concat(t.outWidth,".0)\n && (fract(dyC) == 0.0);\n int idyC = int(dyC);\n\n float dyC2 = float(dyCCorner + wC + 1) / strides[1];\n bool idyCVal2 = (dyC2 >= 0.0) && (dyC2< ").concat(t.outWidth,".0)\n && (fract(dyC2) == 0.0);\n int idyC2 = int(dyC2);\n\n if (idyCVal && idyCVal2) {\n for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC, d2);\n vec4 dySample2 = (idyC / 2 == idyC2 / 2) ?\n dySample : getDy(batch, idyR, idyC2, d2);\n\n vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.xy += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n\n dyValue = mod(float(idyC2), 2.) == 0. ?\n dySample2.xy : dySample2.zw;\n result.zw += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n } else if (idyCVal) {\n for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC, d2);\n vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n dySample.xy : dySample.zw;\n result.xy += vec2(dot(dyValue, wValue.xy),\n dot(dyValue, wValue.zw));\n }\n } else if (idyCVal2) {\n for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n vec4 dySample = getDy(batch, idyR, idyC2, d2);\n vec2 dyValue = mod(float(idyC2), 2.) == 0. ?\n 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a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"conv3DBackpropFilterV2",function(){return i}),a.export(r,"conv3DBackpropFilterV2Config",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../conv_backprop_gpu");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,i=t.dy,c=n.strides,u=n.pad,l=n.filterShape,p=s.backend_util.computeConv3DInfo(a.shape,l,c,1,u),f=new(0,o.Conv3DDerFilterProgram)(p);return r.runWebGLProgram(f,[a,i],"float32")}var c={kernelName:s.Conv3DBackpropFilterV2,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../conv_backprop_gpu":"cBAtJ","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"4D4Fc":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"conv3DBackpropInput",function(){return i}),a.export(r,"conv3DBackpropInputConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../conv_backprop_gpu");function i(e){var 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u={kernelName:s.Cumprod,backendName:"webgl",kernelFunc:c}},{"@tensorflow/tfjs-core":"aOH7b","../cum_gpu":"gNS4i","./Cum_impl":"lrxMB","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],gNS4i:[function(e,t,r,n){var a,s,o=e("@parcel/transformer-js/src/esmodule-helpers.js");o.defineInteropFlag(r),o.export(r,"CumOpType",function(){return s}),o.export(r,"CumProgram",function(){return u});var i=e("@swc/helpers/cjs/_class_call_check.cjs"),c=e("./shader_compiler");(a=s||(s={})).Prod="*",a.Sum="+";var u=function e(t,r,n,a){"use strict";(0,i._)(this,e),this.op=t,this.outputShape=r,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];var o=this.outputShape.length,u=this.op===s.Prod?"1.0":"0.0",f=n?u:"getX(".concat(l(o,"coords",this.op),")"),d=this.outputShape[this.outputShape.length-1],h="",m="";n?(h=a?"end != ".concat(d-1):"end != 0",m=a?"end + 1":"end - 1"):(h=a?"end + pow2< ".concat(d):"end >= pow2",m=a?"end + pow2":"end - pow2"),this.userCode="\n void main() {\n 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y=new(0,o.CumProgram)(e,f.shape,a,u),b=m;m=r.runWebGLProgram(y,[m],m.dtype),r.disposeIntermediateTensorInfo(b)}if(null!=p){var k=s.backend_util.getUndoAxesPermutation(p),j=(0,c.transpose)({inputs:{x:m},backend:r,attrs:{perm:k}});return r.disposeIntermediateTensorInfo(m),r.disposeIntermediateTensorInfo(f),j}return m}},{"@tensorflow/tfjs-core":"aOH7b","../cum_gpu":"gNS4i","./Identity":"8GOL4","./Transpose":"aDPRZ","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],avoxh:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"cumsum",function(){return c}),a.export(r,"cumsumConfig",function(){return u});var s=e("@tensorflow/tfjs-core"),o=e("../cum_gpu"),i=e("./Cum_impl");function c(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,s=n.axis,c=n.exclusive,u=n.reverse;return(0,i.cumImpl)(o.CumOpType.Sum,a,r,s,c,u)}var u={kernelName:s.Cumsum,backendName:"webgl",kernelFunc:c}},{"@tensorflow/tfjs-core":"aOH7b","../cum_gpu":"gNS4i","./Cum_impl":"lrxMB","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],h3ykr:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"denseBincount",function(){return i}),a.export(r,"denseBincountConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../kernel_utils/shared");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,s=t.weights,i=n.size,c=n.binaryOutput;if(1===a.shape.length){var u=r.readSync(a.dataId),l=r.readSync(s.dataId),p=(0,o.bincountImplCPU)(u,l,s.dtype,s.shape,i);return r.makeTensorInfo([i],s.dtype,p)}if(2===a.shape.length){var f=r.bufferSync(a),d=r.bufferSync(s),h=(0,o.bincountReduceImplCPU)(f,d,i,c);return r.makeTensorInfo(h.shape,s.dtype,h.values)}throw Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}var c={kernelName:s.DenseBincount,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../kernel_utils/shared":"gN7B4","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"6pHmt":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"depthToSpace",function(){return i}),a.export(r,"depthToSpaceConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../depth_to_space_gpu");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,s=n.blockSize,i=n.dataFormat,c=a.shape[0],u="NHWC"===i?a.shape[1]:a.shape[2],l="NHWC"===i?a.shape[2]:a.shape[3],p="NHWC"===i?a.shape[3]:a.shape[1],f=u*s,d=l*s,h=p/(s*s),m=new(0,o.DepthToSpaceProgram)("NHWC"===i?[c,f,d,h]:[c,h,f,d],s,i);return r.runWebGLProgram(m,[a],a.dtype)}var c={kernelName:s.DepthToSpace,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../depth_to_space_gpu":"4NVEN","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"4NVEN":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"DepthToSpaceProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@swc/helpers/cjs/_create_class.cjs"),i=function(){"use strict";function e(t,r,n){(0,s._)(this,e),this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=r,this.dataFormat=n,this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = ".concat(this.getHeightCoordString(),";\n int w = ").concat(this.getWidthCoordString(),";\n int d = ").concat(this.getDepthCoordString(),";\n\n int in_h = h / ").concat(r,";\n int offset_h = imod(h, ").concat(r,");\n int in_w = w / ").concat(r,";\n int offset_w = imod(w, ").concat(r,");\n int offset_d = (offset_h * ").concat(r," + offset_w) *\n ").concat(this.getOutputDepthSize(),";\n int in_d = d + offset_d;\n\n float result = ").concat(this.getInputSamplingString(),";\n setOutput(result);\n }\n ")}return(0,o._)(e,[{key:"getHeightCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}},{key:"getWidthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}},{key:"getDepthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}},{key:"getOutputDepthSize",value:function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}},{key:"getInputSamplingString",value:function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}]),e}()},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_create_class.cjs":"igUuK","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"64Ltp":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"depthwiseConv2dNative",function(){return c}),a.export(r,"depthwiseConv2dNativeConfig",function(){return u});var s=e("@tensorflow/tfjs-core"),o=e("../conv_gpu_depthwise"),i=e("../conv_packed_gpu_depthwise");function c(e){var t,r=e.inputs,n=e.backend,a=e.attrs,c=r.x,u=r.filter,l=a.strides,p=a.pad,f=a.dilations,d=a.dimRoundingMode,h=f;null==h&&(h=[1,1]),s.util.assert(s.backend_util.eitherStridesOrDilationsAreOne(l,h),function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. Got strides ".concat(l," and dilations '").concat(h,"'")});var m=s.backend_util.computeConv2DInfo(c.shape,u.shape,l,h,p,d,!0);t=(0,s.env)().getBool("WEBGL_PACK_DEPTHWISECONV")&&m.strideWidth<=2&&m.outChannels/m.inChannels==1?new(0,i.DepthwiseConvPacked2DProgram)(m):new(0,o.DepthwiseConv2DProgram)(m);var g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];return n.runWebGLProgram(t,[c,u],"float32",g)}var u={kernelName:s.DepthwiseConv2dNative,backendName:"webgl",kernelFunc:c}},{"@tensorflow/tfjs-core":"aOH7b","../conv_gpu_depthwise":"dtw9U","../conv_packed_gpu_depthwise":"2vGSW","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],dtw9U:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"DepthwiseConv2DProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("./gpgpu_math"),i=function e(t){"use strict";var r=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];(0,s._)(this,e),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=(0,o.useShapeUniforms)(this.outputShape.length);var c=t.filterHeight,u=t.filterWidth,l=t.outChannels/t.inChannels,p="",f="";n&&(p=a?"float activation(float a) {\n float b = getPreluActivationWeightsAtOutCoords();\n ".concat(n,"\n }"):i?"float activation(float a) {\n float b = getLeakyreluAlphaAtOutCoords();\n ".concat(n,"\n }"):"\n float activation(float x) {\n ".concat(n,"\n }\n "),f="result = activation(result);"),r&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n ".concat(p,"\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ").concat(l,";\n int q = d2 - d1 * ").concat(l,";\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR< ").concat(c,"; wR++) {\n int xR = xRCorner + wR * dilations[0];\n\n if (xR < 0 || xR >= inDims[0]) {\n continue;\n }\n\n for (int wC = 0; wC< ").concat(u,"; wC++) {\n int xC = xCCorner + wC * dilations[1];\n\n if (xC < 0 || xC >= inDims[1]) {\n continue;\n }\n\n float xVal = getX(batch, 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0!==arguments[4]&&arguments[4];(0,s._)(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=(0,i.useShapeUniforms)(this.outputShape.length);for(var u=t.outChannels/t.inChannels,l=t.padInfo.left,p=t.strideWidth,f=t.dilationWidth,d=t.filterHeight,h=t.filterWidth,m="\n int xR; int xC; int xCOffset;\n vec4 wTexel; vec4 previous; vec4 final;",g=0;g<h;g++)m+="\n vec4 xTexelC".concat(2*g,";\n int xTexelC").concat(2*g,"Ready;\n vec4 xTexelC").concat(2*g+1,";\n int xTexelC").concat(2*g+1,"Ready;\n vec4 xC").concat(g,";");m+="\n for (int r = 0; r < ".concat(d,"; r++) {\n ");for(var v=0;v<h;v++)m+="\n xTexelC".concat(2*v," = vec4(0.0);\n xTexelC").concat(2*v,"Ready = 0;\n xTexelC").concat(2*v+1," = vec4(0.0);\n xTexelC").concat(2*v+1,"Ready = 0;\n xC").concat(v," = vec4(0.0);");m+="\n xR = xRCorner + r * dilations[0];\n if (xR >=0 && xR< inDims[0]) {\n ";for(var _=0;_<(h+1)/2;_++){var x=2*_;if(m+="\n xC = xCCorner + ".concat(x*f,";\n "),1===p){if(x<h&&(l%2==1?(m+="\n xCOffset = xC + 1;\n if (xCOffset >= 0 && xCOffset< inDims[1] && xTexelC".concat(x,"Ready == 0) {\n xTexelC").concat(x," = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(x,".zw = vec2(0.0);\n }\n xTexelC").concat(x,"Ready = 1;\n }\n "),1===f&&x>0?m+="\n xC".concat(x," = vec4(xTexelC").concat(x-2,".zw, xTexelC").concat(x,".xy);\n "):m+="\n xCOffset = xC + 1 - 2;\n\n if (xCOffset >= 0 && xCOffset< inDims[1]) {\n previous = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n previous.zw = vec2(0.0);\n }\n\n xC".concat(x," = vec4(previous.zw, xTexelC").concat(x,".xy);\n } else {\n xC").concat(x," = vec4(0.0, 0.0, xTexelC").concat(x,".xy);\n }\n ")):m+="\n if (xC >= 0 && xC< inDims[1] && xTexelC".concat(x,"Ready == 0) {\n xTexelC").concat(x," = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC").concat(x,".zw = vec2(0.0);\n }\n xTexelC").concat(x,"Ready = 1;\n }\n\n xC").concat(x," = xTexelC").concat(x,";\n "),x+1<h)){var y=l%2==0?o.util.nearestLargerEven(f):f;f%2==0&&l%2==1||f%2!=0&&l%2!=1?(m+="\n xCOffset = xC + imod(pads[1], 2) + ".concat(y,";\n\n if (xCOffset >= 0 && xCOffset< inDims[1] && xTexelC").concat(x+1,"Ready == 0) {\n xTexelC").concat(x+1," = getX(batch, xR, xCOffset, d1);\n\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(x+1,".zw = vec2(0.0);\n }\n xTexelC").concat(x+1,"Ready = 1;\n }\n "),f>1?m+="\n xCOffset -= 2;\n if (xCOffset >= 0 && xCOffset< inDims[1]) {\n previous = getX(batch, xR, xCOffset, 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xTexelC").concat(x,".zw = vec2(0.0);\n }\n xTexelC").concat(x,"Ready = 1;\n }\n\n if(xC + 1 >= 0 && xC + 1< inDims[1] && xTexelC").concat(x+1,"Ready == 0) {\n xTexelC").concat(x+1," = getX(batch, xR, xC + 1, d1);\n // Need to manually clear unused channels in case\n // we're reading from recycled texture.\n if (xC + 2 >= inDims[1]) {\n xTexelC").concat(x+1,".zw = vec2(0.0);\n }\n xTexelC").concat(x+1,"Ready = 1;\n }\n\n xC").concat(x," = vec4(xTexelC").concat(x,".zw, xTexelC").concat(x+1,".zw);\n "),x+1<h&&(m+="\n final = vec4(0.0);\n xCOffset = xC + 1 + strides[1];\n if(xCOffset >= 0 && xCOffset< inDims[1]) {\n final = getX(batch, xR, xCOffset, d1);\n }\n xC".concat(x+1," = vec4(xTexelC").concat(x+1,".xy, final.xy);\n "))):(m+="\n if(xC >= 0 && xC< inDims[1] && xTexelC".concat(x,"Ready == 0) {\n xTexelC").concat(x," = getX(batch, xR, xC, d1);\n if (xC + 1 >= inDims[1]) {\n xTexelC").concat(x,".zw = vec2(0.0);\n }\n xTexelC").concat(x,"Ready = 1;\n }\n\n xCOffset = xC + strides[1];\n if(xCOffset >= 0 && xCOffset< inDims[1] && xTexelC").concat(x+1,"Ready == 0) {\n xTexelC").concat(x+1," = getX(batch, xR, xCOffset, d1);\n if (xCOffset + 1 >= inDims[1]) {\n xTexelC").concat(x+1,".zw = vec2(0.);\n }\n xTexelC").concat(x+1,"Ready = 1;\n }\n\n xC").concat(x," = vec4(\n xTexelC").concat(x,".xy, xTexelC").concat(x+1,".xy);\n "),x+1<h&&(m+="\n xC".concat(x+1," = vec4(xTexelC").concat(x,".zw, xTexelC").concat(x+1,".zw);\n "))));x<h&&(m+="\n wTexel = getW(r, ".concat(x,", d1, q);\n dotProd += xC").concat(x," * vec4(wTexel.xz, wTexel.xz);\n "),x+1<h&&(m+="\n wTexel = getW(r, ".concat(x+1,", d1, q);\n dotProd += xC").concat(x+1," * vec4(wTexel.xz, wTexel.xz);\n ")))}m+="\n }\n ",m+="\n }\n ";var b="",k="";n&&(b=a?"vec4 activation(vec4 a) {\n vec4 b = getPreluActivationWeightsAtOutCoords();\n ".concat(n,"\n }"):c?"vec4 activation(vec4 a) {\n vec4 b = getLeakyreluAlphaAtOutCoords();\n ".concat(n,"\n }"):"vec4 activation(vec4 x) {\n ".concat(n,"\n }"),k="result = activation(result);"),r&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),c&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n ".concat(b,"\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / ").concat(u,";\n int q = d2 - d1 * ").concat(u,";\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n //intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.\n vec4 dotProd = vec4(0.000000000000001);\n\n ").concat(m,"\n\n vec4 result = dotProd - vec4(0.000000000000001);\n ").concat(r?"result += getBiasAtOutCoords();":"","\n ").concat(k,"\n setOutput(result);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@tensorflow/tfjs-core":"aOH7b","./gpgpu_math":"7KkpX","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"5rCsQ":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"depthwiseConv2dNativeBackpropFilter",function(){return i}),a.export(r,"depthwiseConv2dNativeBackpropFilterConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../conv_backprop_gpu_depthwise");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,i=t.dy,c=n.strides,u=n.dilations,l=n.pad,p=n.dimRoundingMode,f=n.filterShape,d=s.backend_util.computeConv2DInfo(a.shape,f,c,u,l,p,!0),h=new(0,o.DepthwiseConv2DDerFilterProgram)(d);return r.runWebGLProgram(h,[a,i],"float32")}var c={kernelName:s.DepthwiseConv2dNativeBackpropFilter,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../conv_backprop_gpu_depthwise":"eudmZ","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],eudmZ:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"DepthwiseConv2DDerFilterProgram",function(){return o}),a.export(r,"DepthwiseConv2DDerInputProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var r=t.strideHeight,n=t.strideWidth,a=t.padInfo.top,o=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * ".concat(i," + dm;\n\n float dotProd = 0.0;\n\n // TO DO: Vec4 over the batch size\n for (int b = 0; b < ").concat(t.batchSize,"; b++) {\n for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n int xR = wR + yR * ").concat(r," - ").concat(a,";\n\n if (xR < 0 || xR >= ").concat(t.inHeight,") {\n continue;\n }\n\n for (int yC = 0; yC< ").concat(t.outWidth,"; yC++) {\n int xC = wC + yC * ").concat(n," - ").concat(o,";\n\n if (xC < 0 || xC >= ").concat(t.inWidth,") {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n ")},i=function e(t){"use strict";(0,s._)(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var r=t.filterHeight,n=t.filterWidth,a=t.strideHeight,o=t.strideWidth,i=r-1-t.padInfo.top,c=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode="\n const ivec2 pads = ivec2(".concat(i,", ").concat(c,");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR< ").concat(r,"; wR++) {\n float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = ").concat(r," - 1 - wR;\n\n for (int wC = 0; wC< ").concat(n,"; wC++) {\n float dyC = float(dyCCorner + wC) / ").concat(o,".0;\n\n if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = ").concat(n," - 1 - wC;\n\n // TO DO: Vec4 over the channelMul\n for (int dm = 0; dm< ").concat(u,"; dm++) {\n int d2 = d1 * ").concat(u," + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],dOacj:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"depthwiseConv2dNativeBackpropInput",function(){return i}),a.export(r,"depthwiseConv2dNativeBackpropInputConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../conv_backprop_gpu_depthwise");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.dy,i=t.filter,c=n.strides,u=n.dilations,l=n.pad,p=n.dimRoundingMode,f=n.inputShape,d=s.backend_util.computeConv2DInfo(f,i.shape,c,u,l,p,!0),h=new(0,o.DepthwiseConv2DDerInputProgram)(d);return r.runWebGLProgram(h,[a,i],"float32")}var c={kernelName:s.DepthwiseConv2dNativeBackpropInput,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../conv_backprop_gpu_depthwise":"eudmZ","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],hnJuE:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"diag",function(){return u}),a.export(r,"diagConfig",function(){return l});var s=e("@swc/helpers/cjs/_to_consumable_array.cjs"),o=e("@tensorflow/tfjs-core"),i=e("../diag_gpu"),c=e("./Reshape");function u(e){var 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c={kernelName:s.ExpandDims,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","./Reshape":"65neR","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],bQRHY:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"expm1",function(){return u}),a.export(r,"expm1Config",function(){return l});var s=e("@tensorflow/tfjs-core"),o=e("../kernel_utils/kernel_funcs_utils"),i=e("../kernel_utils/shared"),c="return exp(x) - 1.0;",u=(0,o.unaryKernelFunc)({opSnippet:c,packedOpSnippet:c,cpuKernelImpl:i.expm1ImplCPU}),l={kernelName:s.Expm1,backendName:"webgl",kernelFunc:u}},{"@tensorflow/tfjs-core":"aOH7b","../kernel_utils/kernel_funcs_utils":"hHZZj","../kernel_utils/shared":"gN7B4","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"645KO":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"fft",function(){return i}),a.export(r,"fftConfig",function(){return 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getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ").concat(i?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",";\n\n // Compute the four integer indices.\n ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n ivec3 sourceCeilRC = ivec3(\n min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d< ").concat(f-1,";\n bool hasNextRow = coords.z < ").concat(n-1,";\n\n // In parallel, construct four corners for all four components in\n // packed 2x2 cell.\n vec4 topLeft = vec4(\n getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 bottomLeft = vec4(\n getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n vec4 topRight = vec4(\n getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec4 bottomRight = vec4(\n getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n vec4 newValue = mix(top, bottom, fracRC.x);\n\n setOutput(newValue);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],g5gpk:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"resizeBilinearGrad",function(){return i}),a.export(r,"resizeBilinearGradConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../resize_bilinear_backprop_gpu");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.images,s=t.dy,i=n.alignCorners,c=new(0,o.ResizeBilinearBackpropProgram)(s.shape,a.shape,i);return r.runWebGLProgram(c,[s],s.dtype)}var c={kernelName:s.ResizeBilinearGrad,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../resize_bilinear_backprop_gpu":"gHA5d","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],gHA5d:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"ResizeBilinearBackpropProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@swc/helpers/cjs/_sliced_to_array.cjs"),i=function e(t,r,n){"use strict";(0,s._)(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=r;var a=(0,o._)(r,3),i=a[1],c=a[2],u=(0,o._)(t,3),l=u[1],p=u[2],f=[n&&l>1?i-1:i,n&&p>1?c-1:c],d=[n&&l>1?l-1:l,n&&p>1?p-1:p],h=f[0]/d[0],m=f[1]/d[1],g=1/h,v=1/m,_=2*Math.ceil(g)+2,x=2*Math.ceil(v)+2;this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(".concat(h,");\n const float widthScale = float(").concat(m,");\n\n const float invHeightScale = float(").concat(g,");\n const float invWidthScale = float(").concat(v,");\n\n const int winHeight = int(").concat(_,");\n const int winWidth = int(").concat(x,");\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(startRLerp - float(winHeight / 2));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(startCLerp - float(winWidth / 2));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset< winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ").concat(l,") {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset< winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ").concat(p,") {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), ").concat(i-1,".0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), ").concat(c-1,".0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n }\n\n if (r == bottomDxRIndex && c == rightDxCIndex) {\n // bottomRight\n accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"8rtib":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"resizeNearestNeighbor",function(){return u}),a.export(r,"resizeNearestNeighborConfig",function(){return l});var s=e("@swc/helpers/cjs/_sliced_to_array.cjs"),o=e("@tensorflow/tfjs-core"),i=e("../resize_nearest_neighbor_gpu"),c=e("../resize_nearest_neighbor_packed_gpu");function u(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.images,u=n.alignCorners,l=n.halfPixelCenters,p=n.size,f=(0,s._)(p,2),d=f[0],h=f[1],m=(0,o.env)().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new(0,c.ResizeNearestNeighborPackedProgram)(a.shape,d,h,u,l):new(0,i.ResizeNearestNeighborProgram)(a.shape,d,h,u,l);return r.runWebGLProgram(m,[a],a.dtype)}var l={kernelName:o.ResizeNearestNeighbor,backendName:"webgl",kernelFunc:u}},{"@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@tensorflow/tfjs-core":"aOH7b","../resize_nearest_neighbor_gpu":"jz6Uq","../resize_nearest_neighbor_packed_gpu":"6pHBe","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],jz6Uq:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"ResizeNearestNeighborProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@swc/helpers/cjs/_sliced_to_array.cjs"),i=function e(t,r,n,a,i){"use strict";(0,s._)(this,e),this.variableNames=["A"],this.outputShape=[];var c=(0,o._)(t,4),u=c[0],l=c[1],p=c[2],f=c[3];this.outputShape=[u,r,n,f];var d=[a&&r>1?l-1:l,a&&n>1?p-1:p],h=[a&&r>1?r-1:r,a&&n>1?n-1:n];this.userCode="\n const vec2 effectiveInputOverOutputRatioRC = vec2(\n ".concat(d[0]/h[0],",\n ").concat(d[1]/h[1],");\n const vec2 inputShapeRC = vec2(").concat(l,".0, ").concat(p,".0);\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n ivec2 yRC = coords.yz;\n\n // Fractional source index.\n vec2 sourceFracIndexRC = ").concat(i?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",";\n\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestRC = ivec2(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(a?"0.5":"0.0",")));\n float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n setOutput(newValue);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"6pHBe":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"ResizeNearestNeighborPackedProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@swc/helpers/cjs/_sliced_to_array.cjs"),i=function e(t,r,n,a,i){"use strict";(0,s._)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var c=(0,o._)(t,4),u=c[0],l=c[1],p=c[2],f=c[3];this.outputShape=[u,r,n,f];var d=[a&&r>1?l-1:l,a&&n>1?p-1:p],h=[a&&r>1?r-1:r,a&&n>1?n-1:n];this.userCode="\n const vec3 effectiveInputOverOutputRatioRC = vec3(\n ".concat(d[0]/h[0],",\n ").concat(d[1]/h[1],",\n ").concat(d[1]/h[1],");\n const vec3 inputShapeRC = vec3(").concat(l,".0, ").concat(p,".0,\n ").concat(p,".0);\n\n float getAValue(int b, int r, int c, int d) {\n return getChannel(getA(b, r, c, d), vec2(c, d));\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n // Calculate values for next column in yRC.z.\n ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n // Fractional source index.\n vec3 sourceFracIndexRC = ").concat(i?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",";\n\n // Compute the coordinators of nearest neighbor point.\n ivec3 sourceNearestRC = ivec3(\n min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(a?"0.5":"0.0",")));\n\n // Should we calculate next column and row elements in 2x2 packed cell.\n bool hasNextCol = d< ").concat(f-1,";\n bool hasNextRow = coords.z < ").concat(n-1,";\n\n vec4 newValue = vec4(\n getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n : 0.0,\n hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n : 0.0,\n (hasNextRow && hasNextCol) ?\n getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n setOutput(newValue);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],bmUXP:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"resizeNearestNeighborGrad",function(){return i}),a.export(r,"resizeNearestNeighborGradConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../resize_nearest_neighbor_backprop_gpu");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.images,s=t.dy,i=n.alignCorners,c=new(0,o.ResizeNearestNeigborBackpropProgram)(s.shape,a.shape,i);return r.runWebGLProgram(c,[s],s.dtype)}var c={kernelName:s.ResizeNearestNeighborGrad,backendName:"webgl",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../resize_nearest_neighbor_backprop_gpu":"3gUnw","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"3gUnw":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"ResizeNearestNeigborBackpropProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("@swc/helpers/cjs/_sliced_to_array.cjs"),i=function e(t,r,n){"use strict";(0,s._)(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=r;var a=(0,o._)(r,3),i=a[1],c=a[2],u=(0,o._)(t,3),l=u[1],p=u[2],f=[n&&l>1?i-1:i,n&&p>1?c-1:c],d=[n&&l>1?l-1:l,n&&p>1?p-1:p],h=f[0]/d[0],m=f[1]/d[1],g=1/h,v=1/m,_=2*Math.ceil(g)+2,x=2*Math.ceil(v)+2;this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int d = coords[3];\n int r = coords[1];\n int c = coords[2];\n\n float accumulator = 0.0;\n\n const float heightScale = float(".concat(h,");\n const float widthScale = float(").concat(m,");\n\n const float invHeightScale = float(").concat(g,");\n const float invWidthScale = float(").concat(v,");\n\n const int winHeight = int(").concat(_,");\n const int winWidth = int(").concat(x,");\n\n // Compute bounds for where in dy we will look\n float startRLerp = floor(float(r) * invHeightScale);\n int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n float startCLerp = floor(float(c) * invWidthScale);\n int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n // Loop over dy\n for (int dyROffset = 0; dyROffset< winHeight; dyROffset++) {\n int dyR = dyROffset + startDyR;\n\n // Guard against the window exceeding the bounds of dy\n if (dyR < 0 || dyR >= ").concat(l,") {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset< winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= ").concat(p,") {\n continue;\n }\n\n float sourceFracRow =\n float(").concat(f[0],") *\n (float(dyR) / float(").concat(d[0],"));\n\n float sourceFracCol =\n float(").concat(f[1],") *\n (float(dyC) / float(").concat(d[1],"));\n\n int sourceNearestRow = int(min(\n float(int(").concat(i,") - 1),\n ").concat(n," ? float(round(sourceFracRow)) :\n float(floor(sourceFracRow))));\n\n int sourceNearestCol = int(min(\n float(int(").concat(c,") - 1),\n ").concat(n," ? float(round(sourceFracCol)) :\n float(floor(sourceFracCol))));\n\n if (r == sourceNearestRow && c == sourceNearestCol) {\n accumulator += getDy(b, dyR, dyC, d);\n }\n }\n }\n // End loop over dy\n\n setOutput(accumulator);\n }\n ")}},{"@swc/helpers/cjs/_class_call_check.cjs":"4Uf9M","@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"3aQI3":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"reverse",function(){return u}),a.export(r,"reverseConfig",function(){return l});var s=e("@tensorflow/tfjs-core"),o=e("../reverse_gpu"),i=e("../reverse_packed_gpu"),c=e("./Identity");function u(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,u=n.dims,l=a.shape.length,p=s.util.parseAxisParam(u,a.shape);if(0===l)return(0,c.identity)({inputs:{x:a},backend:r});var f=(0,s.env)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new(0,i.ReversePackedProgram)(a.shape,p):new(0,o.ReverseProgram)(a.shape,p);return r.runWebGLProgram(f,[a],a.dtype)}var l={kernelName:s.Reverse,backendName:"webgl",kernelFunc:u}},{"@tensorflow/tfjs-core":"aOH7b","../reverse_gpu":"jTARY","../reverse_packed_gpu":"etYOz","./Identity":"8GOL4","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],jTARY:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"ReverseProgram",function(){return i});var s=e("@swc/helpers/cjs/_class_call_check.cjs"),o=e("./shader_compiler"),i=function e(t,r){"use 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clamp(inCoord, 0.0, len - 1.0);\n } else if (").concat(c," == 4) {\n return clamp(outCoord, 0.0, len - 1.0);\n } else {\n return outCoord;\n }\n }\n\n float readWithFillValue(int batch, int coordY, int coordX,\n int channel) {\n float outputValue;\n if (0 <= coordY && coordY < ").concat(t," && 0 <= coordX && coordX < ").concat(r,") {\n outputValue = getImage(batch, coordY, coordX, channel);\n } else {\n outputValue = float(").concat(o,");\n }\n return outputValue;\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n float outputValue;\n int batch = coords[0];\n int x = coords[2];\n int y = coords[1];\n int channel = coords[3];\n float xf = float(x);\n float yf = float(y);\n float a1 = getTransforms(batch, 0);\n float a2 = getTransforms(batch, 1);\n float a3 = getTransforms(batch, 2);\n float b1 = getTransforms(batch, 3);\n float b2 = getTransforms(batch, 4);\n float b3 = getTransforms(batch, 5);\n float c1 = getTransforms(batch, 6);\n float c2 = getTransforms(batch, 7);\n float projection = c1 * xf + c2 * yf + 1.0;\n if (projection == 0.0) {\n outputValue = float(").concat(o,");\n } else {\n float inX = (a1 * xf + a2 * yf + a3) / projection;\n float inY = (b1 * xf + b2 * yf + b3) / projection;\n float mapX = mapCoord(inX, float(").concat(r,"));\n float mapY = mapCoord(inY, float(").concat(t,"));\n\n if (").concat("nearest"===n?1:2," == 1) {\n int coordY = int(round(mapY));\n int coordX = int(round(mapX));\n outputValue = readWithFillValue(batch, coordY, coordX,\n channel);\n } else {\n float yFloor = floor(mapY);\n float xFloor = floor(mapX);\n float yCeil = yFloor + 1.0;\n float xCeil = xFloor + 1.0;\n float valueYFloor = (xCeil - mapX) *\n readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n float valueYCeil = (xCeil - mapX) *\n readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n (mapX - xFloor) *\n readWithFillValue(batch, int(yCeil), int(xCeil), 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Y=J+X*I[2]+L*I[1]+A*I[0],$=w[Y],ee=w[Y=J+Q*I[2]+L*I[1]+A*I[0]],et=w[Y=J+X*I[2]+q*I[1]+A*I[0]],er=w[Y=J+Q*I[2]+q*I[1]+A*I[0]],en=$+(ee-$)*Z,ea=et+(er-et)*Z;Y=J+U*T[2]+O*T[1]+S*T[0],b.values[Y]=en+(ea-en)*z}}else for(var es=0;es<y;++es){var eo=y>1?C*(m-1)+es*P:.5*(C+F)*(m-1);if(eo<0||eo>m-1){for(var ei=0;ei<g;ei++){var ec=ei+es*T[2]+O*T[1]+S*T[0];b.values[ec]=p}continue}for(var eu=Math.round(eo),el=Math.round(D),ep=0;ep<g;ep++){var ef=ep+eu*I[2]+el*I[1]+A*I[0],ed=ep+es*T[2]+O*T[1]+S*T[0];b.values[ed]=w[ef]}}}}return r.makeTensorInfo(b.shape,b.dtype,b.values)}var c={kernelName:o.CropAndResize,backendName:"cpu",kernelFunc:i}},{"@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@tensorflow/tfjs-core":"aOH7b","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"5QPId":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"cumprod",function(){return c}),a.export(r,"cumprodConfig",function(){return u});var s=e("@tensorflow/tfjs-core"),o=e("../cpu_util"),i=e("./Transpose");function c(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,c=n.axis,u=n.exclusive,l=n.reverse;(0,o.assertNotComplex)(a,"cumprod");var p=s.backend_util.getAxesPermutation([c],a.shape.length),f=a;null!=p&&(f=(0,i.transpose)({inputs:{x:a},backend:r,attrs:{perm:p}}));var d=s.backend_util.getInnerMostAxes(1,a.shape.length)[0];if(d!==f.shape.length-1)throw Error("backend.cumprod in CPU expects an inner-most "+"axis=".concat(f.shape.length-1," but got axis=").concat(d));for(var h=(0,s.upcastType)(f.dtype,"int32"),m=s.util.makeOnesTypedArray(s.util.sizeFromShape(f.shape),h),g=r.data.get(f.dataId).values,v=f.shape[f.shape.length-1],_=l?function(e,t){return e+v-t-1}:function(e,t){return e+t},x=0;x<g.length;x+=v)for(var y=0;y<v;y++){var b=_(x,y);if(0===y)m[b]=u?1:g[b];else{var k=_(x,y-1);m[b]=u?g[k]*m[k]:g[b]*m[k]}}var j=r.makeTensorInfo(f.shape,h,m);if(null!=p){var w=s.backend_util.getUndoAxesPermutation(p),I=(0,i.transpose)({inputs:{x:j},backend:r,attrs:{perm:w}});return r.disposeIntermediateTensorInfo(j),r.disposeIntermediateTensorInfo(f),I}return j}var u={kernelName:s.Cumprod,backendName:"cpu",kernelFunc:c}},{"@tensorflow/tfjs-core":"aOH7b","../cpu_util":"aNlof","./Transpose":"2CsMD","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"8blcH":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"cumsum",function(){return c}),a.export(r,"cumsumConfig",function(){return u});var s=e("@tensorflow/tfjs-core"),o=e("../cpu_util"),i=e("./Transpose");function c(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,c=n.axis,u=n.exclusive,l=n.reverse;(0,o.assertNotComplex)(a,"cumsum");var p=s.backend_util.getAxesPermutation([c],a.shape.length),f=a;null!=p&&(f=(0,i.transpose)({inputs:{x:a},backend:r,attrs:{perm:p}}));var d=s.backend_util.getInnerMostAxes(1,a.shape.length)[0];if(d!==f.shape.length-1)throw Error("backend.cumsum in CPU expects an inner-most "+"axis=".concat(f.shape.length-1," but got axis=").concat(d));for(var h=(0,s.upcastType)(f.dtype,"int32"),m=s.util.makeZerosTypedArray(s.util.sizeFromShape(f.shape),h),g=r.data.get(f.dataId).values,v=f.shape[f.shape.length-1],_=l?function(e,t){return e+v-t-1}:function(e,t){return e+t},x=0;x<g.length;x+=v)for(var y=0;y<v;y++){var b=_(x,y);if(0===y)m[b]=u?0:g[b];else{var k=_(x,y-1);m[b]=u?g[k]+m[k]:g[b]+m[k]}}var j=r.makeTensorInfo(f.shape,h,m);if(null!=p){var w=s.backend_util.getUndoAxesPermutation(p),I=(0,i.transpose)({inputs:{x:j},backend:r,attrs:{perm:w}});return r.disposeIntermediateTensorInfo(j),r.disposeIntermediateTensorInfo(f),I}return j}var u={kernelName:s.Cumsum,backendName:"cpu",kernelFunc:c}},{"@tensorflow/tfjs-core":"aOH7b","../cpu_util":"aNlof","./Transpose":"2CsMD","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"14vaF":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"denseBincount",function(){return i}),a.export(r,"denseBincountConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("./Bincount_impl");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,s=t.weights,i=n.size,c=n.binaryOutput;if(1===a.shape.length){var u=r.data.get(a.dataId).values,l=r.data.get(s.dataId).values,p=(0,o.bincountImpl)(u,l,s.dtype,s.shape,i);return r.makeTensorInfo([i],s.dtype,p)}if(2===a.shape.length){var f=r.bufferSync(a),d=r.bufferSync(s),h=(0,o.bincountReduceImpl)(f,d,i,c);return r.makeTensorInfo(h.shape,s.dtype,h.values)}throw Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}var c={kernelName:s.DenseBincount,backendName:"cpu",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","./Bincount_impl":"heFon","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],bJ7Y7:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"depthToSpace",function(){return o}),a.export(r,"depthToSpaceConfig",function(){return i});var s=e("@tensorflow/tfjs-core");function o(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,o=n.blockSize,i=n.dataFormat;s.util.assert("NHWC"===i,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. 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c={kernelName:s.DepthwiseConv2dNative,backendName:"cpu",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../cpu_util":"aNlof","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"4aYan":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"depthwiseConv2dNativeBackpropFilter",function(){return i}),a.export(r,"depthwiseConv2dNativeBackpropFilterConfig",function(){return c});var s=e("@tensorflow/tfjs-core"),o=e("../cpu_util");function i(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,i=t.dy,c=n.strides,u=n.dilations,l=n.pad,p=n.dimRoundingMode,f=n.filterShape;(0,o.assertNotComplex)([a,i],"depthwiseConv2dNativeBackpropFilter");for(var d=s.backend_util.computeConv2DInfo(a.shape,f,c,u,l,p,!0),h=d.strideHeight,m=d.strideWidth,g=d.filterHeight,v=d.filterWidth,_=new(0,s.TensorBuffer)(d.filterShape,"float32"),x=d.padInfo.left,y=d.padInfo.top,b=d.outChannels/d.inChannels,k=r.data.get(a.dataId).values,j=new(0,s.TensorBuffer)(a.shape,a.dtype,k),w=r.data.get(i.dataId).values,I=new(0,s.TensorBuffer)(i.shape,i.dtype,w),T=0;T<g;++T)for(var S=Math.max(0,Math.ceil((y-T)/h)),N=Math.min(d.outHeight,(d.inHeight+y-T)/h),M=0;M<v;++M)for(var C=Math.max(0,Math.ceil((x-M)/m)),E=Math.min(d.outWidth,(d.inWidth+x-M)/m),F=0;F<d.outChannels;++F){for(var A=Math.trunc(F/b),R=F%b,P=0,O=0;O<d.batchSize;++O)for(var D=S;D<N;++D)for(var B=T+D*h-y,V=C;V<E;++V){var G=M+V*m-x;P+=j.get(O,B,G,A)*I.get(O,D,V,F)}_.set(P,T,M,A,R)}return r.makeTensorInfo(_.shape,_.dtype,_.values)}var c={kernelName:s.DepthwiseConv2dNativeBackpropFilter,backendName:"cpu",kernelFunc:i}},{"@tensorflow/tfjs-core":"aOH7b","../cpu_util":"aNlof","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],g3D1Q:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"depthwiseConv2dNativeBackpropInput",function(){return c}),a.export(r,"depthwiseConv2dNativeBackpropInputConfig",function(){return u});var s=e("@swc/helpers/cjs/_sliced_to_array.cjs"),o=e("@tensorflow/tfjs-core"),i=e("../cpu_util");function c(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.dy,c=t.filter,u=n.strides,l=n.dilations,p=n.pad,f=n.dimRoundingMode,d=n.inputShape;(0,i.assertNotComplex)([a,c],"depthwiseConv2DNativeBackpropInput");for(var h=o.util.computeStrides(a.shape),m=o.util.computeStrides(c.shape),g=o.backend_util.computeConv2DInfo(d,c.shape,u,l,p,f,!0),v=new(0,o.TensorBuffer)(g.inShape,"float32"),_=v.values,x=(0,s._)(v.strides,3),y=x[0],b=x[1],k=x[2],j=r.data.get(a.dataId).values,w=(0,s._)(h,3),I=w[0],T=w[1],S=w[2],N=r.data.get(c.dataId).values,M=(0,s._)(m,3),C=M[0],E=M[1],F=M[2],A=g.batchSize,R=g.filterHeight,P=g.filterWidth,O=g.inChannels,D=g.inHeight,B=g.inWidth,V=g.outChannels,G=g.outHeight,L=g.outWidth,q=g.strideHeight,z=g.strideWidth,U=R-1-g.padInfo.top,H=P-1-g.padInfo.left,W=V/O,K=0;K<A;++K)for(var X=0;X<O;++X)for(var Q=0;Q<D;++Q)for(var Z=Q-U,J=Math.max(0,Math.ceil(Z/q)),Y=Math.min(G,(R+Z)/q),$=0;$<B;++$){for(var ee=$-H,et=Math.max(0,Math.ceil(ee/z)),er=Math.min(L,(P+ee)/z),en=0,ea=J;ea<Y;++ea)for(var es=ea*q-Z,eo=et;eo<er;++eo)for(var ei=eo*z-ee,ec=I*K+T*ea+S*eo,eu=C*(R-1-es)+E*(P-1-ei)+F*X,el=0;el<W;++el)en+=j[ec+(X*W+el)]*N[eu+el];_[y*K+b*Q+k*$+X]=en}return r.makeTensorInfo(v.shape,v.dtype,v.values)}var u={kernelName:o.DepthwiseConv2dNativeBackpropInput,backendName:"cpu",kernelFunc:c}},{"@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@tensorflow/tfjs-core":"aOH7b","../cpu_util":"aNlof","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],fhLmA:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"diag",function(){return i}),a.export(r,"diagConfig",function(){return c});var s=e("@swc/helpers/cjs/_to_consumable_array.cjs"),o=e("@tensorflow/tfjs-core");function i(e){for(var t=e.inputs,r=e.backend,n=t.x,a=o.util.sizeFromShape(n.shape),i=r.data.get(n.dataId).values,c=(0,o.buffer)([a,a],n.dtype),u=c.values,l=0;l<i.length;l++)u[l*a+l]=i[l];var p=(0,s._)(n.shape).concat((0,s._)(n.shape));return r.makeTensorInfo(p,c.dtype,c.values)}var c={kernelName:o.Diag,backendName:"cpu",kernelFunc:i}},{"@swc/helpers/cjs/_to_consumable_array.cjs":"i81N6","@tensorflow/tfjs-core":"aOH7b","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],e7NMs:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"dilation2DConfig",function(){return o});var s=e("@tensorflow/tfjs-core"),o={kernelName:s.Dilation2D,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,o=t.filter,i=n.strides,c=n.pad,u=n.dilations,l=r.data.get(a.dataId).values,p=a.shape.length,f=r.data.get(o.dataId).values,d=o.shape.length,h=s.backend_util.computeDilation2DInfo(a.shape,o.shape,i,c,"NHWC",u),m=h.batchSize,g=h.inHeight,v=h.inWidth,_=h.inChannels,x=h.outHeight,y=h.outWidth,b=h.padInfo,k=h.strideHeight,j=h.strideWidth,w=h.filterHeight,I=h.filterWidth,T=h.dilationHeight,S=h.dilationWidth,N=h.outShape,M=s.util.sizeFromShape(N),C=N.length,E=s.util.getArrayFromDType(a.dtype,M),F=0;F<m;++F)for(var A=0;A<x;++A)for(var R=A*k-b.top,P=0;P<y;++P)for(var O=P*j-b.left,D=0;D<_;++D){for(var B=Number.MIN_SAFE_INTEGER,V=0;V<w;++V){var G=R+V*T;if(G>=0&&G<g)for(var L=0;L<I;++L){var q=O+L*S;if(q>=0&&q<v){var z=s.util.locToIndex([F,G,q,D],p,s.util.computeStrides(a.shape)),U=s.util.locToIndex([V,L,D],d,s.util.computeStrides(o.shape)),H=l[z]+f[U];H>B&&(B=H)}}}E[s.util.locToIndex([F,A,P,D],C,s.util.computeStrides(N))]=B}return{dataId:r.write(s.util.toTypedArray(E,a.dtype),N,a.dtype),shape:N,dtype:a.dtype}}}},{"@tensorflow/tfjs-core":"aOH7b","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],leVyg:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"dilation2DBackpropFilterConfig",function(){return o});var s=e("@tensorflow/tfjs-core"),o={kernelName:s.Dilation2DBackpropFilter,backendName:"cpu",kernelFunc:function(e){var 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q=R+L*T;if(q>=0&&q<g){var z=p[C][G][q][P]+f[V][L][P];z>O&&(O=z,D=V,B=L)}}}M[D][B][P]+=N[C][E][A][P]}return{dataId:r.write(s.util.toTypedArray(M,a.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}}},{"@tensorflow/tfjs-core":"aOH7b","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],hvVT4:[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"dilation2DBackpropInputConfig",function(){return o});var s=e("@tensorflow/tfjs-core"),o={kernelName:s.Dilation2DBackpropInput,backendName:"cpu",kernelFunc:function(e){var 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a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"spaceToBatchND",function(){return p}),a.export(r,"spaceToBatchNDConfig",function(){return f});var s=e("@swc/helpers/cjs/_to_consumable_array.cjs"),o=e("@tensorflow/tfjs-core"),i=e("../cpu_util"),c=e("./PadV2"),u=e("./Reshape"),l=e("./Transpose");function p(e){var t=e.inputs,r=e.backend,n=e.attrs,a=t.x,p=n.blockShape,f=n.paddings;(0,i.assertNotComplex)([a],"spaceToBatchND");var d=o.util.sizeFromShape(p),h=[[0,0]];h.push.apply(h,(0,s._)(f));for(var m=1+p.length;m<a.shape.length;++m)h.push([0,0]);var 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t=e.inputs,r=e.backend,n=t.data,a=t.indices,o=t.segmentIds;if(n.shape.length<1)throw Error("Data should be at least 1 dimensional but received scalar");if(1!==a.shape.length)throw Error("Indices should be a vector but received shape\n ".concat(a.shape));if(1!==o.shape.length)throw Error("Segment ids should be a vector but received shape\n ".concat(o.shape));if(a.shape[0]!==o.shape[0])throw Error("segmentIds and indices should have same size.");var c=r.data.get(n.dataId).values,u=r.data.get(a.dataId).values,l=r.data.get(o.dataId).values,p=(0,s._)((0,i.sparseSegmentReductionImpl)(c,n.shape,n.dtype,u,l,!0),2),f=p[0],d=p[1];return r.makeTensorInfo(d,n.dtype,f)}var u={kernelName:o.SparseSegmentMean,backendName:"cpu",kernelFunc:c}},{"@swc/helpers/cjs/_sliced_to_array.cjs":"gIQTH","@tensorflow/tfjs-core":"aOH7b","./SparseSegmentReduction_impl":"glo7z","@parcel/transformer-js/src/esmodule-helpers.js":"qpMMf"}],"2DGCr":[function(e,t,r,n){var a=e("@parcel/transformer-js/src/esmodule-helpers.js");a.defineInteropFlag(r),a.export(r,"sparseSegmentSum",function(){return c}),a.export(r,"sparseSegmentSumConfig",function(){return u});var s=e("@swc/helpers/cjs/_sliced_to_array.cjs"),o=e("@tensorflow/tfjs-core"),i=e("./SparseSegmentReduction_impl");function c(e){var t=e.inputs,r=e.backend,n=t.data,a=t.indices,o=t.segmentIds;if(n.shape.length<1)throw Error("Data should be at least 1 dimensional but received scalar");if(1!==a.shape.length)throw Error("Indices should be a vector but received shape\n ".concat(a.shape));if(1!==o.shape.length)throw Error("Segment ids should be a vector but received shape\n ".concat(o.shape));if(a.shape[0]!==o.shape[0])throw Error("segmentIds and indices should have same size.");var c=r.data.get(n.dataId).values,u=r.data.get(a.dataId).values,l=r.data.get(o.dataId).values,p=(0,s._)((0,i.sparseSegmentReductionImpl)(c,n.shape,n.dtype,u,l),2),f=p[0],d=p[1];return r.makeTensorInfo(d,n.dtype,f)}var 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