face-api/dist/face-api.esm.js

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/*
Face-API
homepage: <https://github.com/vladmandic/face-api>
author: <https://github.com/vladmandic>'
*/
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2021-02-12 15:11:00 +01:00
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2021-01-12 16:01:34 +01:00
${r} and ${t} for depthToSpace with input shape
2021-01-20 14:15:38 +01:00
${a.shape}`),A(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying
2021-01-12 16:01:34 +01:00
${s} and ${t} for depthToSpace with input shape
2021-02-12 15:11:00 +01:00
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${s}).`);if(n<a)throw new Error(`batchDims (${a}) must be less than or equal to axis (${n}).`);for(let p=0;p<a;++p)if(e.shape[p]!==t.shape[p])throw new Error(`x.shape[${p}]: ${e.shape[p]} should be equal to indices.shape[${p}]: ${t.shape[p]}.`);let i=e.shape[n],o=[],l=1,c=1,u=1;for(let p=0;p<a;++p)o.push(e.shape[p]),l*=e.shape[p];for(let p=a;p<n;p++)o.push(e.shape[p]),c*=e.shape[p];for(let p=a;p<r;p++)o.push(t.shape[p]);for(let p=n+1;p<s;p++)o.push(e.shape[p]),u*=e.shape[p];return{batchSize:l,sliceSize:u,outerSize:c,dimSize:i,outputShape:o}}function vO(e){try{return e.map(t=>Zd(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function wO(e){return e.map(t=>Cc(t))}var Za={};Oe(Za,{nonMaxSuppressionV3Impl:()=>L1,nonMaxSuppressionV4Impl:()=>z1,nonMaxSuppressionV5Impl:()=>B1,whereImpl:()=>_1});var X1={kernelName:So,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>L(e,Gl(ce(n,"float32"),-1))}}},TO={kernelName:Co,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=lt(ce(n,"float32")),r=en(fe(de(1),a));return Tt(ve(e,r))}}}},SO={kernelName:_o,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=en(fe(lt(ce(n,"float32")),1));return ve(e,a)}}}},CO={kernelName:Lr,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=xt(n.shape,a.shape);return{a:()=>{let s=e,i=zt(n.shape,r);return i.length>0&&(s=Te(s,i)),j(s,n.shape)},b:()=>{let s=e,i=zt(a.shape,r);return i.length>0&&(s=Te(s,i)),j(s,a.shape)}}}},_O={kernelName:Ss,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},EO={kernelName:Cs,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>Ge(n)}}},AO={kernelName:lc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>Ge(n)}}},FO={kernelName:Eo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>ve(e,en(fe(de(1),lt(ce(n,"float32")))))}}},$O={kernelName:Ao,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=en(Z(de(1),lt(ce(n,"float32"))));return ve(e,a)}}}},DO={kernelName:Do,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=xt(n.shape,a.shape);return{a:()=>{let s=Z(lt(n),lt(a)),i=L(e,ve(a,s)),o=zt(n.shape,r);return o.length>0&&(i=Te(i,o)),j(i,n.shape)},b:()=>{let s=Z(lt(n),lt(a)),i=Tt(L(e,ve(n,s))),o=zt(a.shape,r);return o.length>0&&(i=Te(i,o)),j(i,a.shape)}}}},RO={kernelName:Fo,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>ve(e,Z(lt(ce(n,"float32")),1))}}},MO={kernelName:$o,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>ve(e,fe(de(1),lt(ce(n,"float32"))))}}};function PO(e,t,n,a,r,s){let i=E(e,"dy","avgPool3dGrad"),o=E(t,"input","avgPool3dGrad"),l=i,c=o,u=!1;o.rank===4&&(u=!0,l=j(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),c=j(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),A(l.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${l.rank}.`),A(c.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${c.rank}.`),s!=null&&A(Gt(r),()=>`Error in avgPool3dGrad: pad must be an integer when using, dimRoundingMode ${s} but got pad ${r}.`);let p={dy:l,input:c},d={filterSize:n,strides:a,pad:r,dimRoundingMode:s},h=M.runKernel(vd,p,d);return u?j(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var OO=P({avgPool3dGrad_:PO}),LO={kernelName:uc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i,dimRoundingMode:o}=n;return{x:()=>OO(e,a,r,s,i,o)}}};function zO(e,t,n,a,r){let s=E(e,"dy","avgPoolGrad"),i=E(t,"input","avgPoolGrad");A(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let o=i,l=s,c=!1;i.rank===3&&(c=!0,o=j(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=j(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(l.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${l.rank}.`),A(o.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${o.rank}.`);let u={dy:l,input:o},p={filterSize:n,strides:a,pad:r},d=M.runKernel(xd,u,p);return c?j(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var BO=P({avgPoolGrad_:zO}),WO={kernelName:_s,inputsToSave:["x"],gradFunc:(e,
2021-01-12 16:01:34 +01:00
1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
2021-01-29 16:39:08 +01:00
2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=e;if(s.className==null||s.config==null)throw new z(`${a}: Improper config format: ${JSON.stringify(s)}.
'className' and 'config' must set.`);let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in da?[o,l]=da.className:i in t&&([o,l]=t[i]),o==null)throw new z(`Unknown ${a}: ${i}. This may be due to one of the following reasons:
2021-01-12 16:01:34 +01:00
1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
2021-02-12 15:11:00 +01:00
2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let c={};for(let h of Object.keys(da))c[h]=da[h];for(let h of Object.keys(n))c[h]=n[h];let u=s.config;u.customObjects=c;let p=Object.assign({},da);for(let h of Object.keys(n))da[h]=n[h];mb(s.config);let d=l(o,s.config,n,r);return da=Object.assign({},p),d}else{let c=Object.assign({},da);for(let p of Object.keys(n))da[p]=n[p];let u=new o(s.config);return da=Object.assign({},c),u}}}function F3(e,t){return e<t?-1:e>t?1:0}function Hh(e,t){return-1*F3(e,t)}function ts(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function $3(e){if(e==null)throw new z(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function Ri(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new z(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function fb(e,t,n=0,a=Infinity){return Ja(n>=0),Ja(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function Kt(e,t){Array.isArray(e)?(k.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>Kt(n,`element ${a+1} of ${t}`))):k.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${ik(e)}.`)}function ik(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>ik(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function D3(e,t){let n=k.now(),a;return(...r)=>{let s=k.now();return s-n<t||(n=s,a=e(...r)),a}}function ok(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}function gb(e,t){return D(()=>en(Te(L(e,e),t,!0)))}var Yc=class extends re.Serializable{getConfig(){return{}}},yb=class extends Yc{constructor(e){super();this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return D(()=>{let t=gb(e,this.axis),n=qt(t,0,this.maxValue);return L(e,ve(n,Z(Bt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};yb.className="MaxNorm";re.registerClass(yb);var bb=class extends Yc{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return D(()=>ve(e,Z(Bt(),gb(e,this.axis))))}getConfig(){return{axis:this.axis}}};bb.className="UnitNorm";re.registerClass(bb);var xb=class extends Yc{apply(e){return Ye(e)}};xb.className="NonNeg";re.registerClass(xb);var vb=class extends Yc{constructor(e){super();this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return D(()=>{let t=gb(e,this.axis),n=Z(L(this.rate,qt(t,this.minValue,this.maxValue)),L(1-this.rate,t));return L(e,ve(n,Z(Bt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};vb.className="MinMaxNorm";re.registerClass(vb);var lk={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Wt(e){return hb(e)}function uk(e,t={}){return Xc(e,re.SerializationMap.getMap().classNameMap,t,"constraint")}function Vt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in lk?lk[e]:e,config:{}};return uk(t)}else return e instanceof Yc?e:uk(e)}function S3(e){return new yb(e)}function C3(e){return new bb(e)}function _3(){return new xb}function E3(e){return new vb(e)}var ck={};Oe(ck,{constant:()=>P3,glorotNormal:()=>U3,glorotUniform:()=>V3,heNormal:()=>G3,heUniform:()=>H3,identity:()=>B3,leCunNormal:()=>j3,leCunUniform:()=>q3,ones:()=>M3,orthogonal:()=>K3,randomNormal:()=>L3,randomUniform:()=>O3,truncatedNormal:()=>z3,varianceScaling:()=>W3,zeros:()=>R3});var X3=["channelsFirst","channelsLast"],Y3=["nearest","bilinear"],Z3=["valid","same","causal"],J3=["max","avg"],Q3=["sum","mul","concat","ave"],jl=new Map;function Dt(e){Ri(X3,"DataFormat",e)}function ez(
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because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),fa(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,jt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a<this.size();a++)e.push(a)}if(e.length===0)return qn([],[0].concat(this.elementShape));let n=this.readMany(e);return fa(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),$t(n,0)}concat(e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but concat requested dtype ${e}`);if(this.size()===0)return qn([],[0].concat(this.elementShape));let t=[];for(let a=0;a<this.size();a++)t.push(a);let n=this.readMany(t);return fa(this.elementShape,n[0].shape,`TensorArray shape mismatch: tensor array shape (${this.elementShape}) vs first tensor shape (${n[0].shape})`),Qe(n,0)}scatter(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);if(e.length!==t.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${e.length} vs. ${t.shape[0]}`);let n=Math.max(...e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,dt(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to
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tensor.shape[0], but sum of lengths is
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${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];D(()=>{t=j(t,[1,n,r]);for(let o=0;o<e.length;++o){let l=o===0?0:a[o-1],c=[0,l,0],u=[1,e[o],r];s[o]=j(We(t,c,u),this.elementShape)}return s});let i=[];for(let o=0;o<e.length;o++)i[o]=o;this.writeMany(i,s)}},hp=class{constructor(e,t,n,a=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(r=>{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);fa(t,r.shape,"TensorList shape mismatch: "),jt(r)}),this.idTensor=de(0),this.maxNumElements=a,jt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new hp([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);return fa(e,this.elementShape,"TensorList shape mismatch: "),D(()=>{let a=this.tensors.map(r=>j(r,e));return $t(a,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=this.tensors.pop();return fa(n.shape,e,"TensorList shape mismatch: "),j(n,e)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(fa(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");jt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);this.tensors.length=e}getItem(e,t,n){if(n!==this.elementDtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${this.elementDtype}`);if(e<0||e>this.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);return fa(this.tensors[e].shape,t,"TensorList shape mismatch: "),this.tensors[e]}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);fa(this.elementShape,t.shape,"TensorList shape mismatch: "),jt(t),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);return fa(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size()),e.length===0?qn([],[0].concat(this.elementShape)):D(()=>{let a=e.map(r=>j(this.tensors[r],n));return $t(a,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);return fa(this.elementShape,t,"TensorList shape mismatch: "),this.size()===0?qn([],[0].concat(this.elementShape)):D(()=>{let n=this.tensors.map(a=>j(a,t));return Qe(n,0)})}};function M4(e,t,n){let a=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let r=e.shape.slice(1);fa(r,t
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tensor.shape[0], but sum of lengths is
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${a}, and tensor's shape is: ${e.shape}`);let s=a===0?0:e.size/a,i=D(()=>{let l=[];e=j(e,[1,a,s]);for(let c=0;c<t.length;++c){let u=c===0?0:r[c-1],p=[0,u,0],d=[1,t[c],s];l[c]=j(We(e,p,d),n)}return e.dispose(),l}),o=new hp([],n,e.dtype,t.length);for(let l=0;l<i.length;l++)o.setItem(l,i[l]);return o}var z4=async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{let a=I("thenBranch",e,t,n),r=I("elseBranch",e,t,n),s=I("cond",e,t,n),i=I("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=I("body",e,t,n),r=I("cond",e,t,n),s=I("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(u=>u.id),l=await i[0].data();i.forEach(u=>{!u.kept&&o.indexOf(u.id)===-1&&u.dispose()});let c=s;for(;l[0];){let u=c;c=await n.functionMap[a].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);let p=c.map(h=>h.id);u.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&p.indexOf(h.id)===-1&&h.dispose()});let d=await n.functionMap[r].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);l=await d[0].data(),d.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&p.indexOf(h.id)===-1&&h.dispose()})}return c}case"LoopCond":{let a=I("pred",e,t,n);return[Ir(a)]}case"Switch":{let a=I("pred",e,t,n),r=I("data",e,t,n);return r.kept||(r=Ir(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>Nn(r,t,n)!==void 0);if(a){let r=Nn(a,t,n);return[Ir(r)]}return}case"Enter":{let a=I("frameName",e,t,n),r=I("tensor",e,t,n);return n.enterFrame(a),[Ir(r)]}case"Exit":{let a=I("tensor",e,t,n);return n.exitFrame(),[Ir(a)]}case"NextIteration":{let a=I("tensor",e,t,n);return n.nextIteration(),[Ir(a)]}case"TensorArrayV3":{let a=I("size",e,t,n),r=I("dtype",e,t,n),s=I("elementShape",e,t,n),i=I("dynamicSize",e,t,n),o=I("clearAfterRead",e,t,n),l=I("identicalElementShapes",e,t,n),c=I("name",e,t,n),u=new R4(c,r,a,s,l,i,o);return n.addTensorArray(u),[u.idTensor,de(1)]}case"TensorArrayWriteV3":{let a=I("tensorArrayId",e,t,n),r=I("index",e,t,n),s=I("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=I("tensorArrayId",e,t,n),r=I("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=I("tensorArrayId",e,t,n),r=I("indices",e,t,n),s=I("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=I("tensorArrayId",e,t,n),r=I("indices",e,t,n),s=I("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=I("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=I("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=I("tensorArrayId",e,t,n),r=I("tensor",e,t,n),s=I("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=I("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[de(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=I("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=I("tensorListId",e,t,n),r=I("index",e,t,n),s=I("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=I("tensorListId",e,t,n),r=I("index",e,t,n),s=I("elementShape",e,t,n),i=I("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=I("indices",e,t,n),r=I("tensor",e,t,n),s=I("elementShape",e,t,n),i=I("numElements",e,t,n),o=O4(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=I("elementShape",e,t,n),r=I("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=I(s,e,t,n),o=P4(a,r,i);return n.addTensorList(o),[o.idTensor]}case"TensorListGather":{let a=I("tensorListId",e,t,n),r=I("indices",e,t,n),s=I("elementShape",e,t,n),i=I("elementDType",e,t,n);return[n.getTensorList(a.id).gather(r,i,s)]}cas
${e}`);let a;return this.size===Infinity||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),Ln(async()=>(await n.iterator()).columnMajorBatch(e,t,BV),a)}concatenate(e){let t=this,n;return this.size===Infinity||e.size===Infinity?n=Infinity:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,Ln(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===Infinity?n=Infinity:n=null,Ln(async()=>(await t.iterator()).filter(a=>D(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return Ln(async()=>(await t.iterator()).map(n=>D(()=>e(n))),this.size)}mapAsync(e){let t=this;return Ln(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return Ln(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=Infinity:n=null,Ln(async()=>{let a=pv(async()=>({value:await t.iterator(),done:!1}));return _V(a.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size<e||e===void 0||e<0)?n=0:n=null,Ln(async()=>(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let a=this,r=bV.alea(t||k.now().toString());return Ln(async()=>{let s=r.int32();return n&&(s+=r.int32()),(await a.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,Ln(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Ql.MAX_BUFFER_SIZE=1e4;function Ln(e,t=null){return new class extends Ql{constructor(){super(...arguments);this.size=t}async iterator(){return e()}}}function pV(e){return Ln(async()=>SN(e),e.length)}function dV(e){if(!eu(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n<e.length;n++)t=t==null?e[n].size:Math.min(t,e[n].size);else if(e instanceof Object)for(let n in e)t=t==null?e[n].size:Math.min(t,e[n].size);return Ln(async()=>{let n=await NN(e,a=>{if(a instanceof Ql)return{value:a.iterator(),recurse:!1};if(eu(a))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return AV(n,ls.SHORTEST)},t)}function BV(e){if(e===null)return null;let t=e[0];return IV(t)?{value:WV(e),recurse:!1}:{value:null,recurse:!0}}function WV(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Ae?$t(e):qn(e)}var yN=class extends Ql{constructor(e){super();this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(`
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2020-10-12 20:28:19 +02:00
============================
2020-11-25 14:30:53 +01:00
Hi there \u{1F44B}. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.
2021-02-12 15:11:00 +01:00
============================`));let a={};return this.data.set(a,{values:e,dtype:n,refCount:1}),a}makeTensorInfo(e,t,n){let a;if(t==="string"&&n!=null&&n.length>0&&k.isString(n[0])){let r=n.map(s=>k.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return{dataId:a,shape:e,dtype:t}}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,a){this.data.set(e,{values:t,dtype:a,refCount:1})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let a=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return _.mergeRealAndImagArrays(a,r)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(a=>k.decodeString(a))}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return Le(e.shape,e.dtype,n)}makeOutput(e,t,n){let a=this.write(e,t,n);return Kr().makeTensorFromDataId(a,t,n,this)}disposeData(e){if(this.data.has(e)){let{complexTensorInfos:t}=this.data.get(e);t!=null&&(this.disposeData(t.real.dataId),this.disposeData(t.imag.dataId)),this.data.delete(e)}}disposeIntermediateTensorInfo(e){let t=e.dataId;if(this.data.has(t)){let n=this.data.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}async time(e){let t=k.now();return e(),{kernelMs:k.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){we([e],"where");let t=this.readSync(e.dataId);return XV(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}},LN={};Oe(LN,{addImpl:()=>BN,bincountImpl:()=>mv,bincountReduceImpl:()=>WN,ceilImpl:()=>VN,concatImpl:()=>fv,expImpl:()=>UN,expm1Impl:()=>GN,floorImpl:()=>HN,gatherV2Impl:()=>jN,greaterImpl:()=>qN,lessImpl:()=>KN,linSpaceImpl:()=>XN,logImpl:()=>YN,maxImpl:()=>ZN,maximumImpl:()=>JN,minimumImpl:()=>QN,multiplyImpl:()=>gv,negImpl:()=>eT,notEqualImpl:()=>tT,prodImpl:()=>nT,rangeImpl:()=>bv,rsqrtImpl:()=>aT,simpleAbsImpl:()=>zN,sliceImpl:()=>Am,squaredDifferenceImpl:()=>rT,stridedSliceImpl:()=>sT,subImpl:()=>iT,tileImpl:()=>oT,topKImpl:()=>lT,transposeImpl:()=>yv,uniqueImpl:()=>uT});function zN(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var ZV=e=>{let{x:t}=e.inputs,n=e.backend;we(t,"abs");let a=new Float32Array(k.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return a=zN(r),n.makeOutput(a,t.shape,"float32")},JV={kernelName:So,backendName:"cpu",kernelFunc:ZV};function Rt(e){return(t,n,a,r,s)=>{let i=_.assertAndGetBroadcastShape(t,n),o=i.length,l=k.computeStrides(i),c=k.sizeFromShape(i),u=k.getTypedArrayFromDType(s,c),p=t.length,d=n.length,h=k.computeStrides(t),m=k.computeStrides(n),f=_.getBroadcastDims(t,i),g=_.getBroadcastDims(n,i);if(f.length+g.length===0)for(let y=0;y<u.length;++y)u[y]=e(a[y%a.length],r[y%r.length]);else for(let y=0;y<u.length;++y){let b=k.indexToLoc(y,o,l),v=b.slice(-p);f.forEach(C=>v[C]=0);let x=k.locToIndex(v,p,h),N=b.slice(-d);g.forEach(C=>N[C]=0);let T=k.locToIndex(N,d,m);u[y]=e(a[x],r[T])}return[u,i]}}function zn(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=n.makeTensorInfo(a.shape,"complex64"),l=n.data.get(o.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(a.shape,"float32",s),imag:n.makeTensorInfo(r.shape,"float32",i)},o}var QV={kernelName:kd,backendName:"cpu",kernelFunc:zn};function Fm(e,t,n="float32"){if(n==="complex64"){let r=Fm(e,t,"float32"),s=Fm(e,t,"float32");return zn({inputs:{real:r,imag:s},backend:e})}let a=k.makeZerosTypedArray(k.sizeFromShape(t),n);return e.makeTensorInfo(t,n,a)}function ar(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var eU={kernelName:Ko,backendName:"cpu",kernelFunc:ar};function Wi(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.data.get(a.dataId).complexTensorInfos.real
2021-01-12 16:01:34 +01:00
`),s=r.length.toString().length+2,i=r.map((p,d)=>k.rightPad((d+1).toString(),s)+p),o=0;for(let p=0;p<i.length;p++)o=Math.max(i[p].length,o);let l=i.slice(0,a-1),c=i.slice(a-1,a),u=i.slice(a);console.log(l.join(`
`)),console.log(t.split(`
`)[0]),console.log(`%c ${k.rightPad(c[0],o)}`,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(u.join(`
2021-02-12 15:11:00 +01:00
`))}function Vq(e){return Nr(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function Uq(e,t){if(Ne(e,()=>e.linkProgram(t)),e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function Av(e,t){if(Ne(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function Gq(e,t){let n=Nr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return Ne(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),Ne(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function Hq(e,t){let n=Nr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return Ne(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),Ne(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function jq(e){return Nr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function qq(e,t){let n=ee().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let a=`[${e}x${t}]`;throw new Error("Requested texture size "+a+" is invalid.")}if(e>n||t>n){let a=`[${e}x${t}]`,r=`[${n}x${n}]`;throw new Error("Requested texture size "+a+" greater than WebGL maximum on this browser / GPU "+r+".")}}function Kq(e){return Nr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function AT(e,t,n,a,r,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(Ne(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),Ne(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),Ne(e,()=>e.enableVertexAttribArray(o)),!0)}function Yq(e,t,n){Xq(e,n),Ne(e,()=>e.activeTexture(e.TEXTURE0+n)),Ne(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function Zq(e,t,n){return Nr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function Jq(e,t,n){return e.getUniformLocation(t,n)}function Qq(e,t,n,a){Ne(e,()=>Yq(e,t,a)),Ne(e,()=>e.uniform1i(n,a))}function Fv(e,t,n){Ne(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),Ne(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function FT(e,t){Ne(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),Ne(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Pm(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+e5(e,t))}function e5(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function Nr(e,t,n){let a=Ne(e,()=>t());if(a==null)throw new Error(n);return a}function Xq(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,a=t+e.TEXTURE0;if(a<e.TEXTURE0||a>n){let r=`[gl.TEXTURE0, gl.TEXTURE${n}]`;throw new Error(`textureUnit must be in ${r}.`)}}function iu(e,t=2){return k.sizeFromShape(e.slice(0,e.length-t))}function ou(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function $v(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[iu(e),...ou(e)]),t}function t5(e,t=!1){let n=ee().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(n=n*2,e=e.map((r,s)=>s>=e.length-2?k.nearestLargerEven(e[s]):e[s]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=k.squeezeShape(e).newShape);let a=k.sizeFromShape(e);if(e.length<=1&&a<=n)return[1,a];if(e.length===2&&e[0]<=n&&e[1]<=n)return e;if(e.length===3&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(e.length===3&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(e.length===4&&e[0]*e[1]*e[2]<=n&&e[3]<=n)return[e[0]*e[1]*e[2],e[3]];if(e.length===4&&e[0]<=n&&e[1]*e[2]*e[3]<=n)return[e[0],e[1]*e[2]*e[3]];if(t){let r=iu(e),s=2,i=2;return e.length&&([s,i]=ou(e)),a=r*(s/2)*(i/2),k.sizeToSquarishShape(a).map(o=>o*2)}return k.sizeToSquarishShape(a)}function Om(e){return e%2==0}function Lm(e,t){if(e=e.slice(-2),t=t.slice(-2),k.arr
2020-10-12 20:28:19 +02:00
bool isnan_custom(float val) {
return (val > 0.0 || val < 0.0) ? false : val != 0.0;
}
2020-08-29 20:56:29 +02:00
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bvec4 isnan_custom(vec4 val) {
return bvec4(isnan_custom(val.x),
isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));
}
2020-08-29 20:56:29 +02:00
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#define isnan(value) isnan_custom(value)
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`,l="",c=`
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#define round(value) newRound(value)
int newRound(float value) {
return int(floor(value + 0.5));
}
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ivec4 newRound(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
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`):(e="",t="attribute",n="varying",a="varying",r="texture2D",s="gl_FragColor",i="",o=`
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#define isnan(value) isnan_custom(value)
bool isnan_custom(float val) {
return (val > 0. || val < 1. || val == 0.) ? false : true;
}
bvec4 isnan_custom(vec4 val) {
return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));
}
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`,l=`
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uniform float INFINITY;
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bool isinf(float val) {
return abs(val) == INFINITY;
}
bvec4 isinf(vec4 val) {
return equal(abs(val), vec4(INFINITY));
}
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`,c=`
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int round(float value) {
return int(floor(value + 0.5));
}
ivec4 round(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
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`),{version:e,attribute:t,varyingVs:n,varyingFs:a,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:c}}function Gi(e,t,n="index"){let a=k.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / ${r}`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * ${r}`:`index -= ${e[s]} * ${r}`;return`${i}; ${o};`}).join("")}function Pv(e){let t=k.computeStrides(e).map(n=>n.toString());return`
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int getFlatIndex(ivec3 coords) {
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return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;
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}
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`}var DT=`
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const float FLOAT_MAX = 1.70141184e38;
const float FLOAT_MIN = 1.17549435e-38;
lowp vec4 encode_float(highp float v) {
if (isnan(v)) {
return vec4(255, 255, 255, 255);
}
highp float av = abs(v);
if(av < FLOAT_MIN) {
return vec4(0.0, 0.0, 0.0, 0.0);
} else if(v > FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
} else if(v < -FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;
}
highp vec4 c = vec4(0,0,0,0);
highp float e = floor(log2(av));
highp float m = exp2(fract(log2(av))) - 1.0;
c[2] = floor(128.0 * m);
m -= c[2] / 128.0;
c[1] = floor(32768.0 * m);
m -= c[1] / 32768.0;
c[0] = floor(8388608.0 * m);
highp float ebias = e + 127.0;
c[3] = floor(ebias / 2.0);
ebias -= c[3] * 2.0;
c[2] += floor(ebias) * 128.0;
c[3] += 128.0 * step(0.0, -v);
return c / 255.0;
}
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`,u5=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=gp.DENSE;let t=bp(e),n=hn();this.outputShape=e,this.userCode=`
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ivec3 outCoordsFromFlatIndex(int index) {
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${Gi(["r","c","d"],e)}
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return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);
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vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getA(rc.x, rc.y, rc.z);
}
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${n.output} = result;
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}
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`}},c5=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=gp.DENSE;let t=bp(e),n=hn();this.outputShape=e,this.userCode=`
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ivec3 outCoordsFromFlatIndex(int index) {
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${Gi(["r","c","d"],e)}
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return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);
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vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));
}
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${n.output} = result;
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}
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`}},p5=class{constructor(e){this.variableNames=["A"],this.outTexUsage=Qn.DOWNLOAD;let t=hn();this.outputShape=e,this.userCode=`
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${DT}
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void main() {
float x = getAAtOutCoords();
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${t.output} = encode_float(x);
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}
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`}},d5=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Qn.DOWNLOAD;let t=hn();this.outputShape=e,this.userCode=`
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${DT}
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void main() {
ivec3 coords = getOutputCoords();
float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
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${t.output} = encode_float(x);
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}
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`}},h5=class{constructor(e,t,n=!1){this.variableNames=["A"];let a=hn(),[r,s]=t;this.outputShape=e;let i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode=`
${Pv(e)}
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void main() {
ivec3 coords = getOutputCoords();
int flatIndex = getFlatIndex(coords);
int offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
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int r = flatIndex / ${s};
int c = imod(flatIndex, ${s});
vec2 uv = (vec2(c, r) + halfCR) / vec2(${s}.0, ${r}.0);
vec4 values = ${a.texture2D}(A, uv);
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float result;
if(offset == 0) {
result = values[0];
} else if(offset == 1) {
result = values[1];
} else if(offset == 2) {
result = values[2];
} else {
result = values[3];
}
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${a.output} = vec4(${i}, 0., 0., 0.);
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}
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`}},m5=class{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let a=hn(),[r,s]=t;this.outputShape=e;let i="",o="result";n&&(o="floor(result * 255. + 0.5)");for(let l=0;l<=1;l++)for(let c=0;c<=1;c++){let u=l*2+c;i+=`
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localCoords = coords;
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if(localCoords[2] + ${c} < ${e[2]}) {
localCoords[2] += ${c};
if(localCoords[1] + ${l} < ${e[1]}) {
localCoords[1] += ${l};
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flatIndex = getFlatIndex(localCoords);
offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
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r = flatIndex / ${s};
c = imod(flatIndex, ${s});
uv = (vec2(c, r) + halfCR) / vec2(${s}.0, ${r}.0);
values = ${a.texture2D}(A, uv);
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if(offset == 0) {
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result[${u}] = values[0];
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} else if(offset == 1) {
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result[${u}] = values[1];
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} else if(offset == 2) {
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result[${u}] = values[2];
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} else {
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result[${u}] = values[3];
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}
}
}
`}this.userCode=`
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${Pv(e)}
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void main() {
ivec3 coords = getOutputCoords();
vec4 result = vec4(0.);
int flatIndex, r, c, offset;
ivec3 localCoords;
vec2 uv;
vec4 values;
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${i}
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${a.output} = ${o};
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}
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`}};function f5(e){let t=hn(),n=`${t.version}
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precision highp float;
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${t.attribute} vec3 clipSpacePos;
${t.attribute} vec2 uv;
${t.varyingVs} vec2 resultUV;
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void main() {
gl_Position = vec4(clipSpacePos, 1);
resultUV = uv;
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}`;return Lq(e,n)}function g5(e){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return Gq(e,t)}function y5(e){let t=new Uint16Array([0,1,2,2,1,3]);return Hq(e,t)}function vp(e,t,n,a,r,s){qq(t,n);let i=jq(e),o=e.TEXTURE_2D;return Ne(e,()=>e.bindTexture(o,i)),Ne(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),Ne(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),Ne(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),Ne(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),Ne(e,()=>e.texImage2D(o,0,a,t,n,0,r,s,null)),Ne(e,()=>e.bindTexture(e.TEXTURE_2D,null)),i}function RT(e){return e.internalFormatFloat}function b5(e,t,n,a){let[r,s]=yp(t,n);return vp(e,r,s,RT(a),a.textureFormatFloat,e.FLOAT)}function MT(e){return e.internalFormatHalfFloat}function x5(e,t,n,a){let[r,s]=yp(t,n);return vp(e,r,s,MT(a),a.textureFormatFloat,a.textureTypeHalfFloat)}function PT(e){return e.downloadTextureFormat}function v5(e,t,n,a){let[r,s]=yp(t,n);return vp(e,r,s,PT(a),e.RGBA,e.UNSIGNED_BYTE)}function OT(e){return e.internalFormatPackedFloat}function w5(e,t,n,a){let[r,s]=su(t,n);return vp(e,r,s,OT(a),e.RGBA,e.FLOAT)}function LT(e){return e.internalFormatPackedHalfFloat}function k5(e,t,n,a){let[r,s]=su(t,n);return vp(e,r,s,LT(a),e.RGBA,a.textureTypeHalfFloat)}function I5(e,t,n){let a=0,r=3*4,s=3*4+2*4;return Ne(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),AT(e,t,"clipSpacePos",n,3,s,a)&&AT(e,t,"uv",n,2,s,r)}function N5(e,t,n,a,r,s){Ne(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(n*a*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*a*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),Ne(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,a,0,e.RGBA,o,i)),Ne(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function T5(e,t,n){Ne(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?Ne(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):Ne(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),Ne(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function S5(e,t,n,a){let r=e.createBuffer();Ne(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*n;return Ne(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),Ne(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),Ne(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function C5(e,t,n){let a=e,r=new Float32Array(n);return a.bindBuffer(a.PIXEL_PACK_BUFFER,t),a.getBufferSubData(a.PIXEL_PACK_BUFFER,0,r),a.bindBuffer(a.PIXEL_PACK_BUFFER,null),r}function _5(e,t,n,a){let[r,s]=yp(t,n),i=4,o=new Uint8Array(Fq(t*n,i));return Ne(e,()=>e.readPixels(0,0,r,s,a.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function E5(e,t,n,a,r,s,i,o){let l=e,c=new Float32Array($q(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,c),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),c}function A5(e,t,n){let a=new Float32Array(t*n*4);return Ne(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,a)),a}var $5=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=ee().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,_q(t,e)):this.gl=rr(t);let n="WEBGL_color_buffer_float",a="EXT_color_buffer_half_float";if(ee().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=Mm(this.gl,r),ya(this.gl,s))this.textureHalfFloatExtension=Mm(this.gl,s);else if(ee().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),ya(this.gl,a))this.colorBufferHalfFloatExtension=Mm(this.gl,a);else if(ee().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",ya(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(ya(this.gl,a))t
2021-01-29 16:39:08 +01:00
`),i=e.map(h=>D5(h,t,a)).join(`
`),o=t.texShape,l=hn(),c=P5(l),u,p,d=z5(l);return t.isPacked?(u=R5(t.logicalShape,o),p=L5(l)):(u=M5(t.logicalShape,o),p=O5(l)),a&&(d+=B5),[d,c,p,s,u,i,n].join(`
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`)}function lu(e){let t=e.shapeInfo.logicalShape;switch(t.length){case 0:return V5(e);case 1:return U5(e);case 2:return G5(e);case 3:return H5(e);case 4:return j5(e);case 5:return q5(e);case 6:return K5(e);default:throw new Error(`${t.length}-D input sampling is not yet supported`)}}function BT(e){switch(e.shapeInfo.logicalShape.length){case 0:return X5(e);case 1:return Y5(e);case 2:return Z5(e);case 3:return J5(e);default:return Q5(e)}}function D5(e,t,n=!1){let a="";n?a+=BT(e):a+=lu(e);let r=e.shapeInfo.logicalShape,s=t.logicalShape;return r.length<=s.length&&(n?a+=e8(e,t):a+=t8(e,t)),a}function R5(e,t){switch(e.length){case 0:return WT();case 1:return n8(e,t);case 2:return s8(e,t);case 3:return a8(e,t);default:return r8(e,t)}}function M5(e,t){switch(e.length){case 0:return WT();case 1:return i8(e,t);case 2:return p8(e,t);case 3:return o8(e,t);case 4:return l8(e,t);case 5:return u8(e,t);case 6:return c8(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function P5(e){return`
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float sampleTexture(sampler2D textureSampler, vec2 uv) {
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return ${e.texture2D}(textureSampler, uv).r;
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}
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`}function O5(e){return`
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void setOutput(float val) {
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${e.output} = vec4(val, 0, 0, 0);
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}
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`}function L5(e){return`
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void setOutput(vec4 val) {
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${e.output} = val;
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}
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`}function z5(e){return`${e.version}
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precision highp float;
precision highp int;
precision highp sampler2D;
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${e.varyingFs} vec2 resultUV;
${e.defineOutput}
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const vec2 halfCR = vec2(0.5, 0.5);
struct ivec5
{
int x;
int y;
int z;
int w;
int u;
};
struct ivec6
{
int x;
int y;
int z;
int w;
int u;
int v;
};
uniform float NAN;
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${e.defineSpecialNaN}
${e.defineSpecialInf}
${e.defineRound}
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int imod(int x, int y) {
return x - y * (x / y);
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}
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int idiv(int a, int b, float sign) {
int res = a / b;
int mod = imod(a, b);
if (sign < 0. && mod != 0) {
res -= 1;
}
return res;
}
//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
#define HASHSCALE1 443.8975
float random(float seed){
vec2 p = resultUV * seed;
vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);
p3 += dot(p3, p3.yzx + 19.19);
return fract((p3.x + p3.y) * p3.z);
}
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${d8}
${h8}
${m8}
`}var d8=`
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vec2 uvFromFlat(int texNumR, int texNumC, int index) {
int texR = index / texNumC;
int texC = index - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {
int texelIndex = index / 2;
int texR = texelIndex / texNumC;
int texC = texelIndex - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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`,h8=`
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vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,
int texNumC, int row, int col) {
int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);
int texR = texelIndex / texNumC;
int texC = texelIndex - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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`,m8=`
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vec2 packedUVfrom3D(int texNumR, int texNumC,
int texelsInBatch, int texelsInLogicalRow, int b,
int row, int col) {
int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);
int texR = index / texNumC;
int texC = index - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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`,B5=`
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float getChannel(vec4 frag, vec2 innerDims) {
vec2 modCoord = mod(innerDims, 2.);
return modCoord.x == 0. ?
(modCoord.y == 0. ? frag.r : frag.g) :
(modCoord.y == 0. ? frag.b : frag.a);
}
float getChannel(vec4 frag, int dim) {
float modCoord = mod(float(dim), 2.);
return modCoord == 0. ? frag.r : frag.g;
}
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`;function WT(){return`
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int getOutputCoords() {
return 0;
}
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`}function n8(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?`
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int getOutputCoords() {
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return 2 * int(resultUV.x * ${n[1]}.0);
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}
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`:n[1]===1?`
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int getOutputCoords() {
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return 2 * int(resultUV.y * ${n[0]}.0);
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}
`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${n[0]}, ${n[1]}));
return 2 * (resTexRC.x * ${n[1]} + resTexRC.y);
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}
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`}function i8(e,t){return t[0]===1?`
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int getOutputCoords() {
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return int(resultUV.x * ${t[1]}.0);
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}
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`:t[1]===1?`
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int getOutputCoords() {
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return int(resultUV.y * ${t[0]}.0);
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}
`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
return resTexRC.x * ${t[1]} + resTexRC.y;
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}
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`}function a8(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[2]/2),r=a*Math.ceil(e[1]/2);return`
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${n[0]}, ${n[1]}));
int index = resTexRC.x * ${n[1]} + resTexRC.y;
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int b = index / ${r};
index -= b * ${r};
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int r = 2 * (index / ${a});
int c = imod(index, ${a}) * 2;
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return ivec3(b, r, c);
}
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`}function o8(e,t){let n=Gi(["r","c","d"],e);return`
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
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return ivec3(r, c, d);
}
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`}function r8(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[e.length-1]/2),r=a*Math.ceil(e[e.length-2]/2),s=r,i="",o="b, r, c";for(let l=2;l<e.length-1;l++)s*=e[e.length-l-1],i=`
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int b${l} = index / ${s};
index -= b${l} * ${s};
`+i,o=`b${l}, `+o;return`
ivec${e.length} getOutputCoords() {
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ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${n[0]}, ${n[1]}));
int index = resTexRC.x * ${n[1]} + resTexRC.y;
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${i}
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int b = index / ${r};
index -= b * ${r};
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int r = 2 * (index / ${a});
int c = imod(index, ${a}) * 2;
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return ivec${e.length}(${o});
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}
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`}function l8(e,t){let n=Gi(["r","c","d","d2"],e);return`
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ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
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return ivec4(r, c, d, d2);
}
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`}function u8(e,t){let n=Gi(["r","c","d","d2","d3"],e);return`
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ivec5 getOutputCoords() {
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ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]},
${t[1]}));
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int index = resTexRC.x * ${t[1]} + resTexRC.y;
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${n}
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ivec5 outShape = ivec5(r, c, d, d2, d3);
return outShape;
}
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`}function c8(e,t){let n=Gi(["r","c","d","d2","d3","d4"],e);return`
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ivec6 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
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${n}
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ivec6 result = ivec6(r, c, d, d2, d3, d4);
return result;
}
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`}function s8(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(k.arraysEqual(e,t))return`
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ivec2 getOutputCoords() {
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return 2 * ivec2(resultUV.yx * vec2(${n[0]}, ${n[1]}));
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}
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`;let a=Math.ceil(e[1]/2);return`
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ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${n[0]}, ${n[1]}));
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int index = resTexRC.x * ${n[1]} + resTexRC.y;
int r = 2 * (index / ${a});
int c = imod(index, ${a}) * 2;
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return ivec2(r, c);
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}
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`}function p8(e,t){return k.arraysEqual(e,t)?`
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ivec2 getOutputCoords() {
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return ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]}));
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}
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`:e[1]===1?`
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ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
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return ivec2(index, 0);
}
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`:e[0]===1?`
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ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
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return ivec2(0, index);
}
`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
int r = index / ${e[1]};
int c = index - r * ${e[1]};
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return ivec2(r, c);
}
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`}function Hi(e){return`offset${e}`}function X5(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=hn();return`
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vec4 ${n}() {
return ${a.texture2D}(${t}, halfCR);
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}
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`}function V5(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return`float ${n}() {return ${t};}`;let[a,r]=e.shapeInfo.texShape;if(a===1&&r===1)return`
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float ${n}() {
return sampleTexture(${t}, halfCR);
}
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`;let[s,i]=e.shapeInfo.texShape,o=Hi(t);return`
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float ${n}() {
vec2 uv = uvFromFlat(${s}, ${i}, ${o});
return sampleTexture(${t}, uv);
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}
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`}function Y5(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=e.shapeInfo.texShape,r=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=hn();return`
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vec4 ${n}(int index) {
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vec2 uv = packedUVfrom1D(
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${r[0]}, ${r[1]}, index);
return ${s.texture2D}(${t}, uv);
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}
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`}function U5(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return`
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float ${n}(int index) {
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${uu(e)}
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}
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`;let a=e.shapeInfo.texShape,r=a[0],s=a[1];if(s===1&&r===1)return`
float ${n}(int index) {
return sampleTexture(${t}, halfCR);
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}
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`;let i=Hi(t);return s===1?`
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float ${n}(int index) {
vec2 uv = vec2(0.5, (float(index + ${i}) + 0.5) / ${r}.0);
return sampleTexture(${t}, uv);
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}
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`:r===1?`
float ${n}(int index) {
vec2 uv = vec2((float(index + ${i}) + 0.5) / ${s}.0, 0.5);
return sampleTexture(${t}, uv);
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}
`:`
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float ${n}(int index) {
vec2 uv = uvFromFlat(${r}, ${s}, index + ${i});
return sampleTexture(${t}, uv);
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}
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`}function Z5(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=r[0],i=r[1],o=hn();if(r!=null&&k.arraysEqual(t,r))return`
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vec4 ${a}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${i}.0, ${s}.0);
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return ${o.texture2D}(${n}, uv);
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}
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`;let l=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],c=Math.ceil(t[1]/2);return`
vec4 ${a}(int row, int col) {
vec2 uv = packedUVfrom2D(${c}, ${l[0]}, ${l[1]}, row, col);
return ${o.texture2D}(${n}, uv);
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}
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`}function G5(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape;if(r!=null&&k.arraysEqual(t,r)){let p=r[0],d=r[1];return`
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float ${a}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${d}.0, ${p}.0);
return sampleTexture(${n}, uv);
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}
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`}let{newShape:s,keptDims:i}=k.squeezeShape(t),o=s;if(o.length<t.length){let p=cu(e,o),d=["row","col"];return`
${lu(p)}
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float ${a}(int row, int col) {
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return ${a}(${pu(d,i)});
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}
`}if(e.shapeInfo.isUniform)return`
float ${a}(int row, int col) {
int index = round(dot(vec2(row, col), vec2(${t[1]}, 1)));
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${uu(e)}
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}
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`;let l=r[0],c=r[1],u=Hi(n);return c===1?`
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float ${a}(int row, int col) {
float index = dot(vec3(row, col, ${u}), vec3(${t[1]}, 1, 1));
vec2 uv = vec2(0.5, (index + 0.5) / ${l}.0);
return sampleTexture(${n}, uv);
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}
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`:l===1?`
float ${a}(int row, int col) {
float index = dot(vec3(row, col, ${u}), vec3(${t[1]}, 1, 1));
vec2 uv = vec2((index + 0.5) / ${c}.0, 0.5);
return sampleTexture(${n}, uv);
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}
`:`
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float ${a}(int row, int col) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${t[1]} + col + ${u};
vec2 uv = uvFromFlat(${l}, ${c}, index);
return sampleTexture(${n}, uv);
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}
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`}function J5(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];if(t[0]===1){let p=t.slice(1),d=[1,2],h=cu(e,p),m=["b","row","col"];return`
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${BT(h)}
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vec4 ${a}(int b, int row, int col) {
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return ${a}(${pu(m,d)});
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}
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`}let i=s[0],o=s[1],l=Math.ceil(t[2]/2),c=l*Math.ceil(t[1]/2),u=hn();return`
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vec4 ${a}(int b, int row, int col) {
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vec2 uv = packedUVfrom3D(
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${i}, ${o}, ${c}, ${l}, b, row, col);
return ${u.texture2D}(${n}, uv);
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}
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`}function H5(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[1]*t[2],s=t[2],{newShape:i,keptDims:o}=k.squeezeShape(t),l=i;if(l.length<t.length){let m=cu(e,l),f=["row","col","depth"];return`
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${lu(m)}
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float ${a}(int row, int col, int depth) {
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return ${a}(${pu(f,o)});
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}
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`}if(e.shapeInfo.isUniform)return`
float ${a}(int row, int col, int depth) {
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int index = round(dot(vec3(row, col, depth),
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vec3(${r}, ${s}, 1)));
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${uu(e)}
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}
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`;let c=e.shapeInfo.texShape,u=c[0],p=c[1],d=e.shapeInfo.flatOffset;if(p===r&&d==null)return`
float ${a}(int row, int col, int depth) {
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float texR = float(row);
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float texC = dot(vec2(col, depth), vec2(${s}, 1));
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vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${p}.0, ${u}.0);
return sampleTexture(${n}, uv);
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}
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`;if(p===s&&d==null)return`
float ${a}(int row, int col, int depth) {
float texR = dot(vec2(row, col), vec2(${t[1]}, 1));
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float texC = float(depth);
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vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${p}.0, ${u}.0);
return sampleTexture(${n}, uv);
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}
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`;let h=Hi(n);return`
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float ${a}(int row, int col, int depth) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${r} + col * ${s} + depth + ${h};
vec2 uv = uvFromFlat(${u}, ${p}, index);
return sampleTexture(${n}, uv);
}
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`}function Q5(e){let t=e.shapeInfo.logicalShape,n=t.length,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape,i=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],o=i[0],l=i[1],c=Math.ceil(t[n-1]/2),u=c*Math.ceil(t[n-2]/2),p="int b, int row, int col",d=`b * ${u} + (row / 2) * ${c} + (col / 2)`;for(let m=2;m<n-1;m++)p=`int b${m}, `+p,u*=t[n-m-1],d=`b${m} * ${u} + `+d;let h=hn();return`
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vec4 ${r}(${p}) {
int index = ${d};
int texR = index / ${l};
int texC = index - texR * ${l};
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${l}, ${o});
return ${h.texture2D}(${a}, uv);
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}
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`}function j5(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[3],s=t[2]*r,i=t[1]*s,{newShape:o,keptDims:l}=k.squeezeShape(t);if(o.length<t.length){let m=cu(e,o),f=["row","col","depth","depth2"];return`
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${lu(m)}
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float ${a}(int row, int col, int depth, int depth2) {
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return ${a}(${pu(f,l)});
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}
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`}if(e.shapeInfo.isUniform)return`
float ${a}(int row, int col, int depth, int depth2) {
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int index = round(dot(vec4(row, col, depth, depth2),
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vec4(${i}, ${s}, ${r}, 1)));
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${uu(e)}
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}
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`;let c=e.shapeInfo.flatOffset,u=e.shapeInfo.texShape,p=u[0],d=u[1];if(d===i&&c==null)return`
float ${a}(int row, int col, int depth, int depth2) {
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float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
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vec3(${s}, ${r}, 1));
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vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${d}.0, ${p}.0);
return sampleTexture(${n}, uv);
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}
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`;if(d===r&&c==null)return`
float ${a}(int row, int col, int depth, int depth2) {
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float texR = dot(vec3(row, col, depth),
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vec3(${t[1]*t[2]}, ${t[2]}, 1));
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float texC = float(depth2);
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${d}.0, ${p}.0);
return sampleTexture(${n}, uv);
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}
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`;let h=Hi(n);return`
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float ${a}(int row, int col, int depth, int depth2) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${i} + col * ${s} +
depth * ${r} + depth2;
vec2 uv = uvFromFlat(${p}, ${d}, index + ${h});
return sampleTexture(${n}, uv);
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}
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`}function q5(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[4],s=t[3]*r,i=t[2]*s,o=t[1]*i,{newShape:l,keptDims:c}=k.squeezeShape(t);if(l.length<t.length){let f=cu(e,l),g=["row","col","depth","depth2","depth3"];return`
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${lu(f)}
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float ${a}(int row, int col, int depth, int depth2, int depth3) {
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return ${a}(${pu(g,c)});
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}
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`}if(e.shapeInfo.isUniform)return`
float ${a}(int row, int col, int depth, int depth2, int depth3) {
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float index = dot(
vec4(row, col, depth, depth2),
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vec4(${o}, ${i}, ${s}, ${r})) +
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depth3;
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${uu(e)}
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}
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`;let u=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,d=p[0],h=p[1];if(h===o&&u==null)return`
float ${a}(int row, int col, int depth, int depth2, int depth3) {
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int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
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vec4(${i}, ${s}, ${r}, 1));
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vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${h}.0, ${d}.0);
return sampleTexture(${n}, uv);
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}
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`;if(h===r&&u==null)return`
float ${a}(int row, int col, int depth, int depth2, int depth3) {
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float texR = dot(
vec4(row, col, depth, depth2),
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vec4(${t[1]*t[2]*t[3]},
${t[2]*t[3]}, ${t[3]}, 1));
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int texC = depth3;
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${h}.0, ${d}.0);
return sampleTexture(${n}, uv);
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}
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`;let m=Hi(n);return`
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float ${a}(int row, int col, int depth, int depth2, int depth3) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${o} + col * ${i} + depth * ${s} +
depth2 * ${r} + depth3 + ${m};
vec2 uv = uvFromFlat(${d}, ${h}, index);
return sampleTexture(${n}, uv);
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}
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`}function K5(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:r,keptDims:s}=k.squeezeShape(t);if(r.length<t.length){let g=cu(e,r),y=["row","col","depth","depth2","depth3","depth4"];return`
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${lu(g)}
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float ${a}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
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return ${a}(${pu(y,s)});
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}
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`}let i=t[5],o=t[4]*i,l=t[3]*o,c=t[2]*l,u=t[1]*c;if(e.shapeInfo.isUniform)return`
float ${a}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
int index = round(dot(
vec4(row, col, depth, depth2),
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vec4(${u}, ${c}, ${l}, ${o})) +
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dot(
vec2(depth3, depth4),
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vec2(${i}, 1)));
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${uu(e)}
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}
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`;let p=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,h=d[0],m=d[1];if(m===u&&p==null)return`
float ${a}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
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vec4(${c}, ${l}, ${o}, ${i})) +
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float(depth4);
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${m}.0, ${h}.0);
return sampleTexture(${n}, uv);
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}
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`;if(m===i&&p==null)return`
float ${a}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
float texR = dot(vec4(row, col, depth, depth2),
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vec4(${t[1]*t[2]*t[3]*t[4]},
${t[2]*t[3]*t[4]},
${t[3]*t[4]},
${t[4]})) + float(depth3);
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int texC = depth4;
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${m}.0, ${h}.0);
return sampleTexture(${n}, uv);
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}
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`;let f=Hi(n);return`
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float ${a}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${u} + col * ${c} + depth * ${l} +
depth2 * ${o} + depth3 * ${i} + depth4 + ${f};
vec2 uv = uvFromFlat(${h}, ${m}, index);
return sampleTexture(${n}, uv);
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}
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`}function uu(e){let t=e.name,n=k.sizeFromShape(e.shapeInfo.logicalShape);return n<2?`return ${t};`:`
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for (int i = 0; i < ${n}; i++) {
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if (i == index) {
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return ${t}[i];
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}
2020-08-29 20:56:29 +02:00
}
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`}function e8(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=zT(e.shapeInfo.logicalShape,t.logicalShape),l=ft(i),c=i-s,u,p=["x","y","z","w","u","v"];s===0?u="":i<2&&o.length>=1?u="coords = 0;":u=o.map(g=>`coords.${p[g+c]} = 0;`).join(`
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`);let d="";i<2&&s>0?d="coords":d=e.shapeInfo.logicalShape.map((g,y)=>`coords.${p[y+c]}`).join(", ");let h="return outputValue;",m=k.sizeFromShape(e.shapeInfo.logicalShape)===1,f=k.sizeFromShape(t.logicalShape)===1;if(s===1&&!m&&!f)h=`
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return vec4(outputValue.xy, outputValue.xy);
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`;else if(m&&!f)i===1?h=`
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return vec4(outputValue.x, outputValue.x, 0., 0.);
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`:h=`
2020-10-12 20:28:19 +02:00
return vec4(outputValue.x);
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`;else if(o.length){let g=s-2,y=s-1;o.indexOf(g)>-1&&o.indexOf(y)>-1?h="return vec4(outputValue.x);":o.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(y)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}return`
vec4 ${r}() {
${l} coords = getOutputCoords();
${u}
vec4 outputValue = get${a}(${d});
${h}
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}
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`}function t8(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&k.arraysEqual(i,s))return`
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float ${r}() {
return sampleTexture(${n}, resultUV);
}
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`;let c=ft(l),u=zT(e.shapeInfo.logicalShape,t.logicalShape),p=l-o,d,h=["x","y","z","w","u","v"];o===0?d="":l<2&&u.length>=1?d="coords = 0;":d=u.map(f=>`coords.${h[f+p]} = 0;`).join(`
2021-01-12 16:01:34 +01:00
`);let m="";return l<2&&o>0?m="coords":m=e.shapeInfo.logicalShape.map((f,g)=>`coords.${h[g+p]}`).join(", "),`
float ${r}() {
${c} coords = getOutputCoords();
${d}
return get${a}(${m});
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}
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`}function ft(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error(`GPU for rank ${e} is not yet supported`)}function cu(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function pu(e,t){return t.map(n=>e[n]).join(", ")}function f8(e,t,n,a){let r=t.userCode,s=n.map((h,m)=>{let f={logicalShape:h.shape,texShape:h.isUniform?null:h.texData.texShape,isUniform:h.isUniform,isPacked:h.isUniform?!1:h.texData.isPacked,flatOffset:null};return h.texData!=null&&h.texData.slice!=null&&h.texData.slice.flatOffset>0&&(f.flatOffset=h.texData.slice.flatOffset),{name:t.variableNames[m],shapeInfo:f}}),i=s.map(h=>h.shapeInfo),o={logicalShape:a.shape,texShape:a.texData.texShape,isUniform:!1,isPacked:a.texData.isPacked,flatOffset:null},l=W5(s,o,r,t.packedInputs),c=e.createProgram(l),u=null,p=e.getUniformLocation(c,"NAN",!1);ee().getNumber("WEBGL_VERSION")===1&&(u=e.getUniformLocation(c,"INFINITY",!1));let d={};for(let h=0;h<t.variableNames.length;h++){let m=t.variableNames[h],f=!1;d[m]=e.getUniformLocation(c,m,f),d[`offset${m}`]=e.getUniformLocation(c,`offset${m}`,f)}return{program:t,source:l,webGLProgram:c,uniformLocations:d,inShapeInfos:i,outShapeInfo:o,infLoc:u,nanLoc:p}}function VT(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach((n,a)=>{let r=n.logicalShape,s=t[a],i=s.shape;if(!k.arraysEqual(r,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${i} must match`);if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!k.arraysEqual(o,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${l} must match`)})}function g8(e,t,n,a,r){VT(t.inShapeInfos,n),VT([t.outShapeInfo],[a]);let s=a.texData.texture,i=a.texData.texShape;a.texData.isPacked?e.setOutputPackedMatrixTexture(s,i[0],i[1]):e.setOutputMatrixTexture(s,i[0],i[1]),e.setProgram(t.webGLProgram),ee().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,Infinity),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((o,l)=>{let c=t.program.variableNames[l],u=t.uniformLocations[c],p=t.uniformLocations[`offset${c}`];if(u!=null){if(o.isUniform){if(k.sizeFromShape(o.shape)<2)e.gl.uniform1f(u,o.uniformValues[0]);else{let d=o.uniformValues;d instanceof Float32Array||(d=new Float32Array(d)),e.gl.uniform1fv(u,d)}return}o.texData.slice!=null&&p!=null&&e.gl.uniform1i(p,o.texData.slice.flatOffset),e.setInputMatrixTexture(o.texData.texture,u,l)}}),r!=null&&r(e,t.webGLProgram),e.executeProgram()}function y8(e,t,n){let a="";t.concat(n).forEach(i=>{let o=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0,l=i.isUniform?"uniform":i.texData.texShape;a+=`${i.shape}_${l}_${o}`});let r=e.userCode,s=e.constructor.name;return s+="_"+a+"_"+r,s}var{addImpl:b8,bincountImpl:UT,bincountReduceImpl:x8,ceilImpl:v8,concatImpl:w8,expImpl:k8,expm1Impl:I8,floorImpl:N8,gatherV2Impl:T8,greaterImpl:S8,lessImpl:C8,linSpaceImpl:_8,logImpl:E8,maxImpl:A8,maximumImpl:F8,minimumImpl:$8,multiplyImpl:D8,negImpl:R8,prodImpl:M8,rangeImpl:P8,rsqrtImpl:O8,simpleAbsImpl:GT,sliceImpl:L8,stridedSliceImpl:z8,subImpl:B8,tileImpl:W8,topKImpl:V8,transposeImpl:Ov,uniqueImpl:U8}=LN;function HT(e,t){return["x","y","z","w","u","v"].slice(0,t).map(n=>`${e}.${n}`)}function mn(e,t){return t===1?[e]:HT(e,t)}function G8(e,t){if(e===1)return"rc";let n="";for(let a=0;a<e;a++)n+=t[a],a<e-1&&(n+=",");return n}var K8=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;let t=e.length;if(t===0)this.userCode=`
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void main() {
setOutput(vec4(getA(), 0., 0., 0.));
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}
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`;else{let n=mn("rc",t),a=ft(t),r=H8(t,e,n),s=j8(t,e[e.length-1],e[e.length-2],n),i=q8(e,n);this.userCode=`
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void main() {
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${a} rc = getOutputCoords();
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if(${r}) {
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setOutput(vec4(0));
} else {
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${s}
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setOutput(vec4(${i}));
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}
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}
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`}}};function X8(e,t){let n=[];for(let a=0;a<=1;a++)for(let r=0;r<=1;r++){let s=`${a===0?"r":"rp1"}, ${r===0?"c":"cp1"}`;for(let i=2;i<e;i++)s=`${t[t.length-1-i]},`+s;n.push(s)}return n}function H8(e,t,n){if(e===1)return`rc > ${t[0]}`;let a="";for(let r=e-2;r<e;r++)a+=`${n[r]} >= ${t[r]}`,r<e-1&&(a+="||");return a}function j8(e,t,n,a){if(e===1)return"";let r=a.slice(-2);return`
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int r = ${r[0]};
int c = ${r[1]};
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int rp1 = r + 1;
int cp1 = c + 1;
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bool cEdge = cp1 >= ${t};
bool rEdge = rp1 >= ${n};
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`}function q8(e,t){let n=e.length,a=X8(n,t);return n===1?`getA(rc),
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rc + 1 >= ${e[0]} ? 0. : getA(rc + 1),
0, 0`:`getA(${a[0]}),
cEdge ? 0. : getA(${a[1]}),
rEdge ? 0. : getA(${a[2]}),
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rEdge || cEdge ? 0. : getA(${a[3]})`}var jT=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let a=0;a<4;a++){let r="thisRC = rc;";a%2==1&&(r+="thisRC.z += 1;"),a>1&&(r+="thisRC.y += 1;"),n+=`
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${r}
${a>0?"if(thisRC.y < rows && thisRC.z < cols){":""}
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int flatIndex = getFlatIndex(thisRC);
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ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);
vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));
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result[${a}] =
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getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
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${a>0?"}":""}
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`}this.userCode=`
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${Y8(t)}
${Pv(e)}
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void main() {
ivec3 rc = getOutputCoords();
vec4 result = vec4(0.);
ivec3 thisRC;
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int rows = ${e[1]};
int cols = ${e[2]};
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${n}
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setOutput(result);
}
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`}};function Y8(e){return`
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ivec3 inputCoordsFromReshapedOutCoords(int index) {
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${Gi(["r","c","d"],e)}
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return ivec3(r, c, d);
}
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`}var Z8=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let a=KT(t,n),r=XT(e,a,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=qT(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].shift();return this.usedTextures[r].push(o),o}let i;return a===tn.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===tn.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===tn.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===tn.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===tn.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,a){if(this.freeTextures==null)return;let r=KT(n,a),s=XT(t,r,a);s in this.freeTextures||(this.freeTextures[s]=[]);let i=qT(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,a),o=ee().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],c=l.indexOf(e);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function J8(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F||t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error(`Unknown internal format ${t}`)}function qT(e,t,n,a,r){let s=Q8(t,a),i;if(r){let[l,c]=su(e[0],e[1]);i=l*c}else{let[l,c]=yp(e[0],e[1]);i=l*c}let o=J8(n,s);return i*o}function Q8(e,t){switch(e){case tn.PACKED_2X2_FLOAT32:return OT(t);case tn.PACKED_2X2_FLOAT16:return LT(t);case tn.UNPACKED_FLOAT32:return RT(t);case tn.UNPACKED_FLOAT16:return MT(t);case tn.PACKED_4X1_UNSIGNED_BYTE:return PT(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function eK(e){return ee().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?tn.PACKED_2X2_FLOAT32:tn.UNPACKED_FLOAT32:e?tn.PACKED_2X2_FLOAT16:tn.UNPACKED_FLOAT16}function KT(e,t){if(e===Qn.UPLOAD)return tn.PACKED_2X2_FLOAT32;if(e===Qn.RENDER||e==null)return eK(t);if(e===Qn.DOWNLOAD||e===Qn.PIXELS)return tn.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function XT(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}var cs=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode=`
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float unaryOperation(float x) {
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${t}
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}
void main() {
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float x = getAAtOutCoords();
float y = unaryOperation(x);
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setOutput(y);
}
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`}},Ra="if (isnan(x)) return x;",tK="return x;",YT="return abs(x);",nK="return (x >= 0.0) ? x : (exp(x) - 1.0);",aK=Ra+`
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return (x < 0.0) ? 0.0 : x;
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`,rK=Ra+`
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return (x < 0.0) ? 0.0 : min(6.0, x);
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`,zm="return x;",sK="return x;",iK=`
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vec4 result;
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result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
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return result;
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`,oK=`
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vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
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result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
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return result;
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`,lK=`
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vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
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result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
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return result;
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`,du=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=`
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vec4 unaryOperation(vec4 x) {
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${t}
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}
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void main() {
vec4 x = getAAtOutCoords();
vec4 y = unaryOperation(x);
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setOutput(y);
}
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`}},uK=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=mn("rc",t),a=ft(t),r=G8(t,n),s=n.slice(-2),i=t<=1?"rc":`vec2(${s.join(",")})`;this.userCode=`
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void main() {
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${a} rc = getOutputCoords();
vec4 packedInput = getA(${r});
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setOutput(getChannel(packedInput, ${i}));
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}
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`}},cK=Za.whereImpl,pK=1e-7,dK=1e-4,Lv={};function hK(e){return e in Lv||(Lv[e]={}),Lv[e]}var mK=128,fK=600;function gK(){return ee().global.screen==null?1024:ee().global.screen.height*ee().global.screen.width*window.devicePixelRatio*fK/1024/1024}var bK=class extends sc{constructor(e){super();if(this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.warnedAboutMemory=!1,this.warnedAboutCPUBackend=!1,this.pendingDeletes=0,this.disposed=!1,!ee().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=rr(ee().getNumber("WEBGL_VERSION"));this.binaryCache=hK(ee().getNumber("WEBGL_VERSION")),this.gpgpu=new $5(t),this.canvas=t.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpu=e,this.binaryCache={},this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;this.textureManager=new Z8(this.gpgpu),this.numMBBeforeWarning=gK(),this.texData=new hd(this,Kr())}numDataIds(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes}write(e,t,n){if((ee().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||ee().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let a={};return this.texData.set(a,{shape:t,dtype:n,values:e,usage:Qn.UPLOAD,refCount:1,complexParentRefCount:0}),a}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}decComplexRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.complexParentRefCount>0&&t.refCount--}}move(e,t,n,a){if(ee().getBool("DEBUG")&&this.checkNumericalProblems(t),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:a,values:t,usage:Qn.UPLOAD,refCount:1,complexParentRefCount:0})}disposeIntermediateTensorInfo(e){let t=e.dataId;if(this.texData.has(t)){let n=this.texData.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}readSync(e){let t=this.texData.get(e),{values:n,dtype:a,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let p;o?p=new du(i,zm):p=new cs(i,zm);let d=this.runWebGLProgram(p,[{dataId:e,shape:i,dtype:a}],a),h=this.readSync(d.dataId);return this.disposeIntermediateTensorInfo(d),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return n;let l=this.activeTimers!=null,c;l&&(c=k.now());let u;if(a==="complex64"){let p=this.readSync(r.real.dataId),d=this.readSync(r.imag.dataId);u=_.mergeRealAndImagArrays(p,d)}else u=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=k.now()-c),this.convertAndCacheOnCPU(e,u)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(m=>h.push(m))}let t=this.texData.get(e),{values:n,shape:a,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new du(a,zm):h=new cs(a,zm);let m=this.runWebGLProgram(h,[{dataId:e,shape:a,dtype:s}],s),f=this.read(m.dataId);return this.disposeIntermediateTensorInfo(m),f}if(n!=null)return this.convertAndCacheOnCPU(e);if(!ee().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&ee().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,c;if(s!=="complex64"&&ee().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(e);let h=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(h.texture,...bp(a))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let u;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),m=h[0],f=h[1];u=_.mergeRealAndImagArrays(m,f)}else if(l==null)u=this.getValuesFromTexture(e);else{let h=k.sizeFromShape(a);u=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}c!=null&&this.disposeIntermediateTensorInfo(c);let p=this.convertAndCacheOnCPU(e,u),d=this.pendingRead.get(e);return this.pendingRead.delete(e),d.forEach(h=>h(p)),this.pend
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if (isnan(a)) return a;
if (isnan(b)) return b;
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`,hu=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=_.assertAndGetBroadcastShape(t,n),this.userCode=`
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float binaryOperation(float a, float b) {
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${e}
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}
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void main() {
float a = getAAtOutCoords();
float b = getBAtOutCoords();
setOutput(binaryOperation(a, b));
}
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`}},Bm=`
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result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
2021-01-29 16:39:08 +01:00
`,wp=class{constructor(e,t,n,a=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=_.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length,s="";if(a)if(r===0||k.sizeFromShape(this.outputShape)===1)s=`
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result.y = 0.;
result.z = 0.;
result.w = 0.;
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`;else if(s=`
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${ft(r)} coords = getOutputCoords();
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`,r===1)s+=`
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result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;
result.z = 0.;
result.w = 0.;
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`;else{let i=mn("coords",r);s+=`
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bool nextRowOutOfBounds =
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(${i[r-2]} + 1) >= ${this.outputShape[r-2]};
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bool nextColOutOfBounds =
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(${i[r-1]} + 1) >= ${this.outputShape[r-1]};
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result.y = nextColOutOfBounds ? 0. : result.y;
result.z = nextRowOutOfBounds ? 0. : result.z;
result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
2021-01-03 17:05:09 +01:00
`}this.userCode=`
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vec4 binaryOperation(vec4 a, vec4 b) {
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${e}
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}
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2020-10-12 20:28:19 +02:00
void main() {
vec4 a = getAAtOutCoords();
vec4 b = getBAtOutCoords();
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vec4 result = binaryOperation(a, b);
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${s}
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setOutput(result);
}
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`}};function Bn(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var vK={kernelName:Ko,backendName:"webgl",kernelFunc:Bn};function ps(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.makeTensorInfo(a.shape,"complex64"),i=n.texData.get(s.dataId),o=Bn({inputs:{x:a},backend:n}),l=n.texData.get(o.dataId);l.complexParentRefCount++;let c=Bn({inputs:{x:r},backend:n}),u=n.texData.get(c.dataId);return u.complexParentRefCount++,i.complexTensorInfos={real:o,imag:c},s}var wK={kernelName:kd,backendName:"webgl",kernelFunc:ps},JT="return (a < 0.) ? b * a : a;",QT=`
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vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
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`;function kK(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a,i=n.makeTensorInfo([],"float32",k.createScalarValue(s,"float32")),o=ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new wp(QT,r.shape,i.shape):new hu(JT,r.shape,i.shape),l=n.runWebGLProgram(o,[r,i],r.dtype);return n.disposeIntermediateTensorInfo(i),l}var IK={kernelName:Vs,backendName:"webgl",kernelFunc:kK},eS="return (a < 0.) ? b * a : a;",tS=`
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vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
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`;function NK(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new wp(tS,a.shape,r.shape):new hu(eS,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)}var TK={kernelName:ei,backendName:"webgl",kernelFunc:NK},nS="if (isnan(x)) return x;",SK=`
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if (isnan(a)) return a;
if (isnan(b)) return b;
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`,CK=`
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result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
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`;function Ze({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:a}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=a||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let p=o.texData.get(i.dataId),d=n(p.values,l);return o.makeTensorInfo(i.shape,l,d)}let c=ee().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,u;return c?u=new du(i.shape,t):u=new cs(i.shape,e),o.runWebGLProgram(u,[i],l)}}function nn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:a=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:c}=i,u=o;if(a&&l.dtype==="complex64"){let m=u.texData.get(l.dataId),f=u.texData.get(c.dataId),[g,y]=[[m.complexTensorInfos.real,f.complexTensorInfos.real],[m.complexTensorInfos.imag,f.complexTensorInfos.imag]].map(v=>{let[x,N]=v,T={dataId:x.dataId,dtype:x.dtype,shape:l.shape},C={dataId:N.dataId,dtype:N.dtype,shape:c.shape},$=new hu(e,l.shape,c.shape);return u.runWebGLProgram($,[T,C],la(x.dtype,N.dtype))}),b=ps({inputs:{real:g,imag:y},backend:u});return u.disposeIntermediateTensorInfo(g),u.disposeIntermediateTensorInfo(y),b}let p=s||la(l.dtype,c.dtype);if(u.shouldExecuteOnCPU([l,c])&&r!=null){let m=u.texData.get(l.dataId),f=u.texData.get(c.dataId),[g,y]=r(l.shape,c.shape,m.values,f.values,p),b=u.makeTensorInfo(y,p),v=u.texData.get(b.dataId);return v.values=g,b}let d=ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return d?h=new wp(t,l.shape,c.shape,n):h=new hu(e,l.shape,c.shape),u.runWebGLProgram(h,[l,c],p)}}function Wm(e,t=!1){if(e==="linear")return t?sK:tK;if(e==="relu")return t?oK:aK;if(e==="elu")return t?iK:nK;if(e==="relu6")return t?lK:rK;if(e==="prelu")return t?tS:eS;if(e==="leakyrelu")return t?QT:JT;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var aS=class{constructor(e,t,n,a=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;let c=a?e[1]:e[2],u=Math.ceil(c/2),p=a?"i * 2, rc.y":"rc.y, i * 2",d=r?"rc.z, i * 2":"i * 2, rc.z",h=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",g="";i&&(o?f=`vec4 activation(vec4 a) {
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vec4 b = getPreluActivationWeightsAtOutCoords();
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${i}
}`:l?f=`vec4 activation(vec4 a) {
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vec4 b = getLeakyreluAlphaAtOutCoords();
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${i}
}`:f=`vec4 activation(vec4 x) {
${i}
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}`,g="result = activation(result);");let y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let b="rc.x",v="rc.x";e[0]<t[0]?b=`int(min(float(rc.x), ${e[0]-1}.))`:t[0]<e[0]&&(v=`int(min(float(rc.x), ${t[0]-1}.))`),this.userCode=`
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${f}
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const float sharedDimension = ${u}.0;
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vec4 dot2x2ARowBCol(ivec3 rc) {
vec4 result = vec4(0);
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for (int i = 0; i < ${u}; i++) {
int batchA = ${b};
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int batchB = ${v};
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vec4 a = getMatrixA(batchA, ${p});
vec4 b = getMatrixB(batchB, ${d});
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// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
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result += (${h[0]} * ${m[0]});
result += (${h[1]} * ${m[1]});
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}
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return result;
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}
void main() {
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ivec3 rc = getOutputCoords();
vec4 result = dot2x2ARowBCol(rc);
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${y}
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${g}
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setOutput(result);
}
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`}},rS={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},sS=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=_.assertAndGetBroadcastShape(t,n),this.userCode=`
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float binaryOpComplex(
float areal, float aimag, float breal, float bimag) {
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${e}
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}
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2020-12-15 14:15:43 +01:00
void main() {
float areal = getARealAtOutCoords();
float aimag = getAImagAtOutCoords();
float breal = getBRealAtOutCoords();
float bimag = getBImagAtOutCoords();
setOutput(binaryOpComplex(areal, aimag, breal, bimag));
}
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`}},iS="return a * b;";function oS(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=_.upcastType(a.dtype,r.dtype);if(a.dtype==="complex64"){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),c=new sS(rS.REAL,a.shape,r.shape),u=new sS(rS.IMAG,a.shape,r.shape),p=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:a.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],d=n.runWebGLProgram(c,p,"float32"),h=n.runWebGLProgram(u,p,"float32"),m=ps({inputs:{real:d,imag:h},backend:n});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h),m}if(n.shouldExecuteOnCPU([a,r])){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),[c,u]=D8(a.shape,r.shape,o.values,l.values,s),p=n.makeTensorInfo(u,s),d=n.texData.get(p.dataId);return d.values=c,p}let i;return ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new wp(iS,a.shape,r.shape):i=new hu(iS,a.shape,r.shape),n.runWebGLProgram(i,[a,r],s)}var _K={kernelName:Ys,backendName:"webgl",kernelFunc:oS};function EK(e,t,n){let a=[iu(e.shape),...ou(e.shape)],r={dtype:e.dtype,shape:a,dataId:e.dataId},s=[iu(t),...ou(t)],i=new jT(s,a),o=!0,l=n.runWebGLProgram(i,[r],e.dtype,null,o);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function be(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=n,o=k.sizeFromShape(r.shape),l=k.inferFromImplicitShape(s,o),c=k.sizeFromShape(l);k.assert(o===c,()=>`The new shape (${l}) has ${c} elements and the old shape (${r.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`);let u=i.texData.get(r.dataId);return u.isPacked&&!Lm(r.shape,l)&&!(u.texture!==null&&Lm(u.shape,l))?EK(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var AK={kernelName:dl,backendName:"webgl",kernelFunc:be},lS=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i=Math.floor(n/4)*4,o=n%4,l="sumValue += dot(values, ones);";if(t!=null){let u=1/t;l=`sumValue += dot(values * ${k.isInt(u)?u.toPrecision(2):u}, ones);`}let c="";r%n>0&&(c=`
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if (inIdx < 0 || inIdx >= ${r}) {
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return 0.0;
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}
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`),this.userCode=`
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float getValue(int batch, int inIdx) {
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${c}
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return getX(batch, inIdx);
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}
void main() {
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ivec2 coords = getOutputCoords();
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int batch = coords[0];
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int outIdx = coords[1];
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int inOffset = outIdx * ${n};
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float sumValue = 0.0;
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for (int i = 0; i < ${i}; i += 4) {
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int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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${l}
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}
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int inIdx = inOffset + ${i};
if (${o===1}) {
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vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);
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${l}
} else if (${o===2}) {
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vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1), 0.0, 0.0);
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${l}
} else if (${o===3}) {
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vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2), 0.0);
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${l}
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}
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setOutput(sumValue);
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}
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`}},FK=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let c=Math.floor(n/4)*4,u=n%4,p=`
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if (${t==="sum"}) {
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sumValue += dot(values, ones);
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} else if (${t==="prod"}) {
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vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);
prodValue *= tmp[0] * tmp[1];
} else {
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minMaxValue = ${o}(values, minMaxValue);
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}
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`,d="vec4";t==="all"?(i="1.0",p=`
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bool reducedAllValue = all(values);
float floatedReducedAllValue = float(reducedAllValue);
allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
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`,d="bvec4"):t==="any"&&(i="0.0",p=`
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bool reducedAnyValue = any(values);
float floatedReducedAnyValue = float(reducedAnyValue);
anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
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`,d="bvec4");let h="";r%n>0&&(h=`
if (inIdx < 0 || inIdx >= ${r}) {
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return initializationValue;
}
`),this.userCode=`
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const float initializationValue = ${i};
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const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
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2020-12-15 14:15:43 +01:00
float getValue(int batch, int inIdx) {
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${h}
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return getX(batch, inIdx);
}
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2020-12-15 14:15:43 +01:00
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
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int inOffset = outIdx * ${n};
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vec4 minMaxValue = vec4(${i});
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float prodValue = 1.0;
float sumValue = 0.0;
float allValue = 1.0;
float anyValue = 0.0;
2020-10-12 20:28:19 +02:00
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for (int i = 0; i < ${c}; i += 4) {
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int inIdx = inOffset + i;
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${d} values = ${d}(
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getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
2020-10-12 20:28:19 +02:00
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${p}
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}
2020-10-12 20:28:19 +02:00
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int inIdx = inOffset + ${c};
if (${u===1}) {
${d} values = ${d}(
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getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
2020-10-12 20:28:19 +02:00
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${p}
} else if (${u===2}) {
${d} values = ${d}(
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getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
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${p}
} else if (${u===3}) {
${d} values = ${d}(
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getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
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${p}
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}
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setOutput(${l});
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}
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`}};function $K(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],a=_.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:a,outSize:Math.ceil(n/a)})}return t}function ji(e,t,n,a){let r=$K(e.shape),s=e;for(let i=0;i<r.length;i++){let{inSize:o,windowSize:l,outSize:c}=r[i],u,p;n==="mean"?u=i===0?new lS({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c},o):new lS({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c}):u=new FK({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c},n),p=s,s=a.runWebGLProgram(u,[s],t),p.dataId!==e.dataId&&a.disposeIntermediateTensorInfo(p)}return s}var RK=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[t[s]];this.outputShape=n,this.rank=n.length;let a=ft(this.rank),r=DK(t);this.userCode=`
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void main() {
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${a} resRC = getOutputCoords();
setOutput(getA(${r}));
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}
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`}};function DK(e){let t=e.length;if(t>6)throw Error(`Transpose for rank ${t} is not yet supported`);let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],a=new Array(t);for(let r=0;r<e.length;r++)a[e[r]]=n[r];return a.join()}var MK=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(e.length);for(let c=0;c<n.length;c++)n[c]=e[t[c]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let a=ft(this.rank),r=HT("rc",this.rank),s=new Array(this.rank);for(let c=0;c<t.length;c++)s[t[c]]=r[c];let i=`vec2(${s.slice(-2).join()})`,o=`++${r[this.rank-1]} < ${n[this.rank-1]}`,l=`getChannel(getA(${s.join()}), ${i})`;this.userCode=`
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void main() {
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${a} rc = getOutputCoords();
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vec4 result = vec4(0.);
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result[0] = ${l};
if(${o}) {
result[1] = ${l};
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}
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--${r[this.rank-1]};
if(++${r[this.rank-2]} < ${n[this.rank-2]}) {
result[2] = ${l};
if(${o}) {
result[3] = ${l};
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}
}
setOutput(result);
}
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`}};function Vm(e,t,n){let a=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new MK(e.shape,t):new RK(e.shape,t);return n.runWebGLProgram(a,[e],e.dtype)}function PK(e,t,n,a){let r=t,s=e.shape.length,i=k.parseAxisParam(r,e.shape),o=i,l=_.getAxesPermutation(o,s),c=l!=null,u=e;c&&(u=Vm(e,l,a),o=_.getInnerMostAxes(o.length,s)),_.assertAxesAreInnerMostDims("sum",o,s);let[p,d]=_.computeOutAndReduceShapes(u.shape,o),h=p;n&&(h=_.expandShapeToKeepDim(p,i));let m=k.sizeFromShape(d),f=k.sizeFromShape(e.shape)/m,g=be({inputs:{x:u},attrs:{shape:[f,m]},backend:a}),y=Qd(e.dtype),b=ji(g,y,"sum",a),v=be({inputs:{x:b},attrs:{shape:h},backend:a});return a.disposeIntermediateTensorInfo(g),a.disposeIntermediateTensorInfo(b),c&&a.disposeIntermediateTensorInfo(u),v}function zv(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;return PK(r,s,i,n)}var OK={kernelName:ci,backendName:"webgl",kernelFunc:zv};function Tn(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{perm:s}=a,i=n,o=r.shape.length,l=new Array(o);for(let u=0;u<l.length;u++)l[u]=r.shape[s[u]];let c;if(i.shouldExecuteOnCPU([r])){let u=i.texData.get(r.dataId).values,p=Ov(u,r.shape,r.dtype,s,l);c=i.makeTensorInfo(l,r.dtype);let d=i.texData.get(c.dataId);d.values=p}else c=Vm(r,s,i);return c}var LK={kernelName:fi,backendName:"webgl",kernelFunc:Tn},uS=1e3;function Um({a:e,b:t,transposeA:n,transposeB:a,backend:r,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:o=0,activation:l=null}){let c=e.shape.length,u=t.shape.length,p=n?e.shape[c-2]:e.shape[c-1],d=a?t.shape[u-1]:t.shape[u-2],h=n?e.shape[c-1]:e.shape[c-2],m=a?t.shape[u-2]:t.shape[u-1],f=e.shape.slice(0,-2),g=t.shape.slice(0,-2),y=k.sizeFromShape(f),b=k.sizeFromShape(g),v=y===b||y===1||b===1;k.assert(c>=2&&u>=2&&v,()=>`Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${f}) and (${g}).`);let x=(y>b?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([h,m]);k.assert(p===d,()=>`Error in matMul: inner shapes (${p}) and (${d}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${a} must match.`);let N=n?[y,p,h]:[y,h,p],T=a?[b,m,d]:[b,d,m],C=be({inputs:{x:e},backend:r,attrs:{shape:N}}),$=be({inputs:{x:t},backend:r,attrs:{shape:T}}),F=[C,$],O=Math.max(y,b),B=n?C.shape[1]:C.shape[2],W=s!=null,G=i!=null,q=l==="leakyrelu",H=l!=null?Wm(l,!0):null,K=W||G||q||H!=null,X;if((h===1||m===1)&&B>uS&&K===!1){let J=C,se=$;n&&(J=Tn({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),F.push(J)),a&&(se=Tn({inputs:{x:$},backend:r,attrs:{perm:[0,2,1]}}),F.push(se));let Q=m!==1,oe=m===1,ae=J;Q&&(ae=be({inputs:{x:J},backend:r,attrs:{shape:[O,B,1]}}),F.push(ae));let pe=m===1?2:1,ue=se;oe&&(ue=be({inputs:{x:se},backend:r,attrs:{shape:[O,1,B]}}),F.push(ue));let ge=oS({inputs:{a:ae,b:ue},backend:r});X=zv({inputs:{x:ge},backend:r,attrs:{axis:pe,keepDims:!0}}),F.push(ge)}else{let J=la(e.dtype,t.dtype),se=new aS(N,T,[O,h,m],n,a,W,H,G,q),Q=[C,$];if(s!=null&&Q.push(s),G&&Q.push(i),q){let oe=r.makeTensorInfo([],"float32",k.createScalarValue(o,"float32"));Q.push(oe),F.push(oe)}X=r.runWebGLProgram(se,Q,J)}let ne=be({inputs:{x:X},backend:r,attrs:{shape:x}});F.push(X);for(let J of F)r.disposeIntermediateTensorInfo(J);return ne}function zK(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:c,activation:u,leakyreluAlpha:p}=a;return Um({a:r,b:s,transposeA:l,transposeB:c,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:p,activation:u})}var BK={kernelName:gi,backendName:"webgl",kernelFunc:zK},cS="return abs(x);";function WK(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])&&a.dtype!=="complex64"){let s=n.texData.get(a.dataId),i=GT(s.values);return n.makeTensorInfo(a.shape,a.dtype,i)}let r;return ee().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new du(a.shape,cS):r=new cs(a.shape,cS),n.runWebGLProgram(r,[a],a.dtype)}var VK={kernelName:So,backendName:"webgl",kernelFunc:WK},UK=Ra+`
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if (abs(x) > 1.) {
return NAN;
}
return acos(x);
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`,GK=Ze({opSnippet:UK}),HK={kernelName:Co,backendName:"webgl",kernelFunc:GK},jK=Ra+`
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if (x < 1.0) return NAN;
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return log(x + sqrt(x * x - 1.0));`,qK=Ze({opSnippet:jK}),KK={kernelName:_o,backendName:"webgl",kernelFunc:qK},pS="return a + b;",XK=nn({opSnippet:pS,packedOpSnippet:pS,supportsComplex:!0,cpuKernelImpl:b8}),YK={kernelName:Lr,backendName:"webgl",kernelFunc:XK},ZK=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`float v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=`
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void main() {
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${n.join(`
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`)}
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float result = ${a};
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setOutput(result);
}
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`}},JK=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`vec4 v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=`
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void main() {
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${n.join(`
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`)}
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vec4 result = ${a};
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setOutput(result);
}
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`}};function Gm(e){let{inputs:t,backend:n}=e,a=t;if(a.length===1)return Bn({inputs:{x:a[0]},backend:n});if(a.length>ee().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(a.length/2),l=Gm({inputs:a.slice(0,o),backend:n}),c=Gm({inputs:a.slice(o),backend:n});return Gm({inputs:[l,c],backend:n})}let r=a.map(o=>o.dtype).reduce((o,l)=>la(o,l)),s=a.map(o=>o.shape),i=ee().getBool("WEBGL_PACK")?new JK(a[0].shape,s):new ZK(a[0].shape,s);return n.runWebGLProgram(i,a,r)}var QK={kernelName:Ss,backendName:"webgl",kernelFunc:Gm};function eX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=k.parseAxisParam(s,r.shape),c=l,u=_.getAxesPermutation(c,o),p=r;u!=null&&(p=Tn({inputs:{x:r},backend:n,attrs:{perm:u}}),c=_.getInnerMostAxes(c.length,o)),_.assertAxesAreInnerMostDims("all",c,o);let[d,h]=_.computeOutAndReduceShapes(p.shape,c),m=k.sizeFromShape(h),f=be({inputs:{x:p},backend:n,attrs:{shape:[-1,m]}}),g=ji(f,f.dtype,"all",n),y;if(i){let b=_.expandShapeToKeepDim(d,l);y=be({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=be({inputs:{x:g},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),u!=null&&n.disposeIntermediateTensorInfo(p),y}var tX={kernelName:yd,backendName:"webgl",kernelFunc:eX};function nX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=k.parseAxisParam(s,r.shape),c=l,u=_.getAxesPermutation(c,o),p=r;u!=null&&(p=Tn({inputs:{x:r},backend:n,attrs:{perm:u}}),c=_.getInnerMostAxes(c.length,o)),_.assertAxesAreInnerMostDims("any",c,o);let[d,h]=_.computeOutAndReduceShapes(p.shape,c),m=k.sizeFromShape(h),f=be({inputs:{x:p},backend:n,attrs:{shape:[-1,m]}}),g=ji(f,f.dtype,"any",n),y;if(i){let b=_.expandShapeToKeepDim(d,l);y=be({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=be({inputs:{x:g},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),u!=null&&n.disposeIntermediateTensorInfo(p),y}var aX={kernelName:bd,backendName:"webgl",kernelFunc:nX},rX=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:a,batchSize:r,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,s];let i=t==="max"?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
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int inOffset = outIdx * ${a};
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int bestIndex = inOffset;
float bestValue = getA(batch, bestIndex);
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for (int i = 0; i < ${a}; i++) {
int inIdx = ${o};
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float candidate = getA(batch, inIdx);
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if (candidate ${i} bestValue) {
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bestValue = candidate;
bestIndex = inIdx;
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}
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}
setOutput(float(bestIndex));
}
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`}},sX=class{constructor(e,t,n,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,k.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let r=e[e.length-1],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),a||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=ft(o),c=mn("coords",o),u,p;if(s===1){p=o+1;let C=ft(p);u=`
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${C} sourceLocR = ${C}(${c.join()}, 0);
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++${c[o-1]};
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${C} sourceLocG = ${C}(${c.join()}, 0);
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++${c[o-2]};
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${C} sourceLocA = ${C}(${c.join()}, 0);
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--${c[o-1]};
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${C} sourceLocB = ${C}(${c.join()}, 0);
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--${c[o-2]};`}else p=o,u=`
${l} sourceLocR = coords;
++${c[o-1]};
${l} sourceLocG = coords;
++${c[o-2]};
${l} sourceLocA = coords;
--${c[o-1]};
${l} sourceLocB = coords;
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--${c[o-2]};`;let d=["x","y","z","w","u","v"].slice(0,p),h="."+d[p-1],m=d.map(C=>"int "+C),f=mn("sourceLocR",p-1).concat("inIdx.r"),g=mn("sourceLocG",p-1).concat("inIdx.g"),y=mn("sourceLocB",p-1).concat("inIdx.b"),b=mn("sourceLocA",p-1).concat("inIdx.a"),v=n==="max"?"greaterThan":"lessThan",x=a?"":`
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inIdx = round(vec4(getBestIndicesAChannel(${f.join()}),
getBestIndicesAChannel(${g.join()}),
getBestIndicesAChannel(${y.join()}),
getBestIndicesAChannel(${b.join()})));`,N=`vec4(
getAChannel(${f.join()}),
hasNextCol ? getAChannel(${g.join()}) : 0.,
hasNextRow ? getAChannel(${y.join()}) : 0.,
hasNextRow && hasNextCol ? getAChannel(${b.join()}) : 0.)`,T=a?"":`
float getBestIndicesAChannel(${m.join()}) {
return getChannel(getBestIndicesA(${d.join()}),
vec2(${d.slice(-2).join()}));
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}`;this.userCode=`
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float getAChannel(${m.join()}) {
return getChannel(getA(${d.join()}),
vec2(${d.slice(-2).join()}));
}
${T}
void main() {
${l} coords = getOutputCoords();
bool hasNextCol = ${c[o-1]} < ${i[o-1]-1};
bool hasNextRow = ${c[o-2]} < ${i[o-2]-1};
${u}
ivec4 srcIdx = ivec4(sourceLocR${h}, sourceLocG${h},
sourceLocB${h}, sourceLocA${h}) * ${t};
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ivec4 inIdx = srcIdx;
vec4 bestIndex = vec4(inIdx);
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vec4 bestValue = ${N};
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for (int i = 0; i < ${t}; i++) {
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inIdx = srcIdx;
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${x}
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vec4 candidate = ${N};
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bvec4 nan = isnan(candidate);
bvec4 replace = bvec4(
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vec4(${v}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));
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bestValue = vec4(replace.x ? candidate.x : bestValue.x,
replace.y ? candidate.y : bestValue.y,
replace.z ? candidate.z : bestValue.z,
replace.w ? candidate.w : bestValue.w);
bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));
srcIdx++;
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}
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setOutput(bestIndex);
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}
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`}};function dS(e,t,n,a=null){let r=t.shape[0],s=t.shape[1];a!=null&&(r=a.shape[0],s=a.shape[1]);let i=_.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new rX(o,n,a==null),c=[t];a!=null&&c.push(a);let u=e.runWebGLProgram(l,c,"int32");if(u.shape[1]===1)return u;let p=dS(e,t,n,u);return e.disposeIntermediateTensorInfo(u),p}function hS(e,t,n,a=null){let r=a!=null?a.shape:t.shape,s=r[r.length-1],i=_.computeOptimalWindowSize(s),o=new sX(r,i,n,a==null),l=a==null?[t]:[t,a],c=e.runWebGLProgram(o,l,"int32");if(c.shape.length===t.shape.length){let u=hS(e,t,n,c);return e.disposeIntermediateTensorInfo(c),u}return c}function mS(e,t,n,a){let r=[n];if(_.assertAxesAreInnerMostDims("arg"+a.charAt(0).toUpperCase()+a.slice(1),r,t.shape.length),!ee().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],[i,o]=_.computeOutAndReduceShapes(t.shape,r),l=k.sizeFromShape(o),c=be({inputs:{x:t},backend:e,attrs:{shape:[-1,l]}});s.push(c);let u=dS(e,c,a);s.push(u);let p=be({inputs:{x:u},backend:e,attrs:{shape:i}});return s.forEach(d=>e.disposeIntermediateTensorInfo(d)),p}return hS(e,t,a)}function iX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=k.parseAxisParam(s,r.shape),o=_.getAxesPermutation(i,r.shape.length),l=r,c=[];o!=null&&(l=Tn({inputs:{x:r},backend:n,attrs:{perm:o}}),c.push(l),i=_.getInnerMostAxes(i.length,l.shape.length)),_.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let u=mS(n,l,i[0],"max");return c.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var oX={kernelName:Cs,backendName:"webgl",kernelFunc:iX};function lX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=k.parseAxisParam(s,r.shape),o=_.getAxesPermutation(i,r.shape.length),l=r,c=[];o!=null&&(l=Tn({inputs:{x:r},backend:n,attrs:{perm:o}}),c.push(l),i=_.getInnerMostAxes(i.length,l.shape.length)),_.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let u=mS(n,l,i[0],"min");return c.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var uX={kernelName:lc,backendName:"webgl",kernelFunc:lX},cX=Ra+`
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if (abs(x) > 1.) {
return NAN;
}
return asin(x);
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`,pX=Ze({opSnippet:cX}),dX={kernelName:Eo,backendName:"webgl",kernelFunc:pX},hX=Ra+"return log(x + sqrt(x * x + 1.0));",mX=Ze({opSnippet:hX}),fX={kernelName:Ao,backendName:"webgl",kernelFunc:mX},gX=Ra+`
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return atan(x);
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`,yX=Ze({opSnippet:gX}),bX={kernelName:Fo,backendName:"webgl",kernelFunc:yX},xX=SK+`
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return atan(a, b);
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`,vX=`
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vec4 result = atan(a, b);
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+CK+`
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return result;
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`,wX=nn({opSnippet:xX,packedOpSnippet:vX}),kX={kernelName:Do,backendName:"webgl",kernelFunc:wX},IX=Ra+`
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if ((x < -1.0) || (x > 1.0)) return NAN;
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return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,NX=Ze({opSnippet:IX}),TX={kernelName:$o,backendName:"webgl",kernelFunc:NX},kp=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,c=e.dilationWidth,u=e.effectiveFilterHeight,p=e.effectiveFilterWidth,d=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let m=t==="avg",f=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,y="0.0";if(m||(y="-1.0 / 1e-20"),n){let C=">=";this.userCode=`
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const ivec2 strides = ivec2(${i}, ${o});
const ivec2 pads = ivec2(${d}, ${h});
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void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d = coords[3];
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ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0;
float minMaxValueFound = 0.0;
int minMaxPosition = 0;
float avgValue = 0.0;
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for (int wR = 0; wR < ${u};
wR += ${l}) {
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int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${p};
wC += ${c}) {
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int xC = xCCorner + wC;
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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float value = getX(batch, xR, xC, d);
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix(
value, minMaxValue, minMaxValueFound);
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if (value ${C} currMinMaxValue) {
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minMaxValue = value;
minMaxValueFound = 1.0;
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minMaxPosition = ${a?r?f:g:`wR * ${p} + wC`};
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}
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}
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}
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setOutput(float(minMaxPosition));
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}
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`;return}let b="max",v=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(v="avgValue / count");let x=Math.floor(s/4)*4,N=s%4,T=`
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if (${m}) {
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avgValue += dot(values, ones);
} else {
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minMaxValue = ${b}(values, minMaxValue);
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}
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`;this.userCode=`
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const ivec2 strides = ivec2(${i}, ${o});
const ivec2 pads = ivec2(${d}, ${h});
const float initializationValue = ${y};
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const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float count = 0.0;
float getValue(int batch, int xR, int xC, int d) {
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if (xC < 0 || xC >= ${e.inWidth}) {
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return initializationValue;
}
count += 1.0;
return getX(batch, xR, xC, d);
}
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void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
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int d = coords[3];
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ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
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vec4 minMaxValue = vec4(${y});
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float avgValue = 0.0;
count = 0.0;
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for (int wR = 0; wR < ${u};
wR += ${l}) {
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int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${x}; wC += 4) {
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int xC = xCCorner + wC * ${c};
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vec4 values = vec4(
getValue(batch, xR, xC, d),
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getValue(batch, xR, xC + ${c}, d),
getValue(batch, xR, xC + 2 * ${c}, d),
getValue(batch, xR, xC + 3 * ${c}, d)
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);
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${T}
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}
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int xC = xCCorner + ${x};
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if (${N===1}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
initializationValue,
initializationValue,
initializationValue
);
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${T}
} else if (${N===2}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
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getValue(batch, xR, xC + ${c}, d),
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initializationValue,
initializationValue
);
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${T}
} else if (${N===3}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
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getValue(batch, xR, xC + ${c}, d),
getValue(batch, xR, xC + 2 * ${c}, d),
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initializationValue
);
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${T}
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}
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}
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setOutput(${v});
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}
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`}},Bv=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,c=e.dilationDepth,u=e.dilationHeight,p=e.dilationWidth,d=e.effectiveFilterDepth,h=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.front,g=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;let b=t==="avg",v="0.0";if(b||(v="-1.0 / 1e-20"),n){let F=">=";this.userCode=`
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const ivec3 strides =
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ivec3(${i}, ${o}, ${l});
const ivec3 pads = ivec3(${f}, ${g}, ${y});
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
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ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
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// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0;
float minMaxValueFound = 0.0;
int minMaxPosition = 0;
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for (int wD = 0; wD < ${d};
wD += ${c}) {
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int xD = xDCorner + wD;
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if (xD < 0 || xD >= ${e.inDepth}) {
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continue;
}
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for (int wR = 0; wR < ${h};
wR += ${u}) {
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int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
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}
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for (int wC = 0; wC < ${m};
wC += ${p}) {
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int xC = xCCorner + wC;
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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float value = getX(batch, xD, xR, xC, ch);
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// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix(
value, minMaxValue, minMaxValueFound);
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if (value ${F} currMinMaxValue) {
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minMaxValue = value;
minMaxValueFound = 1.0;
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minMaxPosition = ${a?r?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${h} * ${m} +
wR * ${m} + wC`};
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}
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}
}
}
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setOutput(float(minMaxPosition));
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}
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`;return}let x="max",N=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(N="avgValue / count");let T=Math.floor(s/4)*4,C=s%4,$=`
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if (${b}) {
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avgValue += dot(values, ones);
} else {
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minMaxValue = ${x}(values, minMaxValue);
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}
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`;this.userCode=`
const ivec3 strides =
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ivec3(${i}, ${o}, ${l});
const ivec3 pads = ivec3(${f}, ${g}, ${y});
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const float initializationValue = ${v};
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const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float count = 0.0;
float getValue(int batch, int xD, int xR, int xC, int ch) {
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if (xC < 0 || xC >= ${e.inWidth}) {
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return initializationValue;
}
count += 1.0;
return getX(batch, xD, xR, xC, ch);
}
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
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int ch = coords.u;
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ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
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// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
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vec4 minMaxValue = vec4(${v});
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float avgValue = 0.0;
count = 0.0;
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for (int wD = 0; wD < ${d};
wD += ${c}) {
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int xD = xDCorner + wD;
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if (xD < 0 || xD >= ${e.inDepth}) {
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continue;
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}
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for (int wR = 0; wR < ${h};
wR += ${u}) {
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int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${T}; wC += 4) {
int xC = xCCorner + wC * ${p};
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
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getValue(batch, xD, xR, xC + ${p}, ch),
getValue(batch, xD, xR, xC + 2 * ${p}, ch),
getValue(batch, xD, xR, xC + 3 * ${p}, ch)
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);
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${$}
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}
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int xC = xCCorner + ${T};
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if (${C===1}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
initializationValue,
initializationValue,
initializationValue
);
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${$}
} else if (${C===2}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
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getValue(batch, xD, xR, xC + ${p}, ch),
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initializationValue,
initializationValue
);
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${$}
} else if (${C===3}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
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getValue(batch, xD, xR, xC + ${p}, ch),
getValue(batch, xD, xR, xC + 2 * ${p}, ch),
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initializationValue
);
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${$}
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}
}
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setOutput(${N});
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}
}
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`}};function SX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;xp(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,c=1;k.assert(_.eitherStridesOrDilationsAreOne(i,c),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let u=_.computePool2DInfo(r.shape,s,i,c,o,l);if(u.filterWidth===1&&u.filterHeight===1&&k.arraysEqual(u.inShape,u.outShape))return Bn({inputs:{x:r},backend:n});let p=new kp(u,"avg",!1);return n.runWebGLProgram(p,[r],"float32")}var CX={kernelName:_s,backendName:"webgl",kernelFunc:SX};function _X(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:c}=a,u=[1,1,1],p=_.computePool3DInfo(r.shape,s,i,u,o,l,c),d=new Bv(p,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var EX={kernelName:uc,backendName:"webgl",kernelFunc:_X},AX=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=o-1-e.padInfo.top,u=l-1-e.padInfo.left,p=1/(t*n);this.userCode=`
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const ivec2 pads = ivec2(${c}, ${u});
const float avgMultiplier = float(${p});
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void main() {
ivec4 coords = getOutputCoords();
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int b = coords[0];
int d = coords[3];
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ivec2 dyRCCorner = coords.yz - pads;
int dyRCorner = dyRCCorner.x;
int dyCCorner = dyRCCorner.y;
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// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
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// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int wR = 0; wR < ${o};
wR += ${s}) {
float dyR = float(dyRCorner + wR) / ${a}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
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continue;
}
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int idyR = int(dyR);
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for (int wC = 0; wC < ${l};
wC+= ${i}) {
float dyC = float(dyCCorner + wC) / ${r}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
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continue;
}
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int idyC = int(dyC);
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float dyValue = getDy(b, idyR, idyC, d);
dotProd += dyValue * avgMultiplier;
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}
}
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setOutput(dotProd);
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}
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`}},FX=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,c=e.dilationWidth,u=e.effectiveFilterDepth,p=e.effectiveFilterHeight,d=e.effectiveFilterWidth,h=u-1-e.padInfo.front,m=p-1-e.padInfo.top,f=d-1-e.padInfo.left,g=1/(t*n*a);this.userCode=`
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const ivec3 pads = ivec3(${h}, ${m}, ${f});
const float avgMultiplier = float(${g});
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
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ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
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// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int wD = 0; wD < ${u};
wD += ${o}) {
float dyD = float(dyDCorner + wD) / ${r}.0;
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if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
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continue;
}
int idyD = int(dyD);
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for (int wR = 0; wR < ${p};
wR += ${l}) {
float dyR = float(dyRCorner + wR) / ${s}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
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fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
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for (int wC = 0; wC < ${d};
wC += ${c}) {
float dyC = float(dyCCorner + wC) / ${i}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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float dyValue = getDy(batch, idyD, idyR, idyC, ch);
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dotProd += dyValue * avgMultiplier;
}
}
}
setOutput(dotProd);
}
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`}};function $X(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:c,dimRoundingMode:u}=a,p=[1,1,1],d=_.computePool3DInfo(i.shape,o,l,p,c,u),h=new FX(d);return n.runWebGLProgram(h,[r],i.dtype)}var DX={kernelName:vd,backendName:"webgl",kernelFunc:$X};function RX(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;xp([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:c}=a,u=_.computePool2DInfo(i.shape,o,l,1,c),p=new AX(u);return n.runWebGLProgram(p,[r],i.dtype)}var MX={kernelName:xd,backendName:"webgl",kernelFunc:RX};function PX(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;return Um({a:r,b:s,transposeA:i,transposeB:o,backend:n})}var OX={kernelName:Es,backendName:"webgl",kernelFunc:PX},LX=class{constructor(e,t,n,a,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],_.assertAndGetBroadcastShape(e,t),_.assertAndGetBroadcastShape(e,n);let i="0.0";a!=null&&(_.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(_.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
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void main() {
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float x = getXAtOutCoords();
float mean = getMeanAtOutCoords();
float variance = getVarianceAtOutCoords();
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float offset = ${i};
float scale = ${o};
float inv = scale * inversesqrt(variance + float(${s}));
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setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
}
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`}},zX=class{constructor(e,t,n,a,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],_.assertAndGetBroadcastShape(e,t),_.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";a!=null&&(_.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(_.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
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void main() {
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vec4 offset = ${i};
vec4 scale = ${o};
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vec4 x = getXAtOutCoords();
vec4 mean = getMeanAtOutCoords();
vec4 variance = getVarianceAtOutCoords();
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vec4 inv = scale * inversesqrt(variance + vec4(${s}));
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setOutput((x - mean) * inv + offset);
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}
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`}},BX=({inputs:e,backend:t,attrs:n})=>{let{x:a,mean:r,variance:s,offset:i,scale:o}=e;k.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),k.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),k.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let c=[a,r,s],u=null;i!=null&&(u=i.shape,c.push(i));let p=null;o!=null&&(p=o.shape,c.push(o));let d=ee().getBool("WEBGL_PACK_NORMALIZATION")?new zX(a.shape,r.shape,s.shape,u,p,l):new LX(a.shape,r.shape,s.shape,u,p,l);return t.runWebGLProgram(d,c,c[0].dtype)},WX={kernelName:Bs,backendName:"webgl",kernelFunc:BX},UX=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=ft(this.rank),n=`uniform int start[${this.rank}];`,a=VX(this.rank),r,s=e.map((i,o)=>`sourceLoc.${Wv[o]} = start[${o}] + coords.${Wv[o]};`);r=`
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${t} sourceLoc;
${t} coords = getOutputCoords();
${s.join(`
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`)}
`,this.userCode=`
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${n}
void main() {
${r}
setOutput(getSource(${a}));
}
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`}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}},Wv=["x","y","z","w","u","v"];function VX(e){if(e===1)return"sourceLoc";if(e<=6)return Wv.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var GX=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;let t=ft(this.rank),n=mn("coords",this.rank),a=mn("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${a.slice(-2).join()})`,s=`getChannel(getSource(${a.join()}), ${r})`,i=`
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result.x = ${s};
if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
++${a[this.rank-1]};
result.y = ${s};
--${a[this.rank-1]};
}
`,o=this.rank===1?"":`
--${n[this.rank-1]};
if (++${n[this.rank-2]} < ${e[this.rank-2]}) {
++${a[this.rank-2]};
result.z = ${s};
if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
++${a[this.rank-1]};
result.w = ${s};
}
}
`,l=this.rank<=4?`sourceLoc = coords +
${t}(${e.map((c,u)=>`start[${u}]`).join()});`:e.map((c,u)=>`${a[u]} = ${n[u]} + start[${u}];`).join(`
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`);this.userCode=`
uniform int start[${this.rank}];
void main() {
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${t} coords = getOutputCoords();
${t} sourceLoc;
${l}
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vec4 result = vec4(0.);
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${i}
${o}
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setOutput(result);
}
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`}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}};function HX(e,t,n,a){let r=a.texData.get(e.dataId),s=a.makeTensorInfo(n,e.dtype),i=a.texData.get(s.dataId);Object.assign(i,r),i.complexParentRefCount=0,i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=cn.computeFlatOffset(t,k.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=a.dataRefCount.get(i.slice.origDataId)||1;return a.dataRefCount.set(i.slice.origDataId,l+1),s}function Ip(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a,[o,l]=cn.parseSliceParams(r,s,i);if(cn.assertParamsValid(r,o,l),k.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let p=n.texData.get(r.dataId),d=L8(p.values,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,d)}let{isPacked:c}=n.texData.get(r.dataId),u=cn.isSliceContinous(r.shape,o,l);if(c||!u){let p=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new GX(l):new UX(l),d=p.getCustomSetupFunc(o);return n.runWebGLProgram(p,[r],r.dtype,d)}return n.uploadToGPU(r.dataId),HX(r,o,l,n)}var jX={kernelName:gl,backendName:"webgl",kernelFunc:Ip},qX=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;k.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((b,v)=>b*v),l=_.getReshaped(r.shape,s,o),c=_.getPermuted(l.length,s.length),u=_.getReshapedPermuted(r.shape,s,o),p=_.getSliceBeginCoords(i,s.length),d=_.getSliceSize(u,i,s.length),h=[],m=be({inputs:{x:r},backend:n,attrs:{shape:l}}),f=Tn({inputs:{x:m},backend:n,attrs:{perm:c}}),g=be({inputs:{x:f},backend:n,attrs:{shape:u}}),y=Ip({inputs:{x:g},backend:n,attrs:{begin:p,size:d}});return h.push(m),h.push(f),h.push(g),h.forEach(b=>n.disposeIntermediateTensorInfo(b)),y},KX={kernelName:cc,backendName:"webgl",kernelFunc:qX};function XX(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.readSync(r.dataId),l=n.readSync(s.dataId),c=UT(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,c)}var YX={kernelName:wd,backendName:"webgl",kernelFunc:XX},ZX="return float(a != b);",fS=nn({opSnippet:ZX,dtype:"bool"}),JX={kernelName:rl,backendName:"webgl",kernelFunc:fS};function Np(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return Bn({inputs:{x:r.complexTensorInfos.real},backend:n})}var QX={kernelName:Vd,backendName:"webgl",kernelFunc:Np},eY="return float(int(x));";function tY(e,t){let n=new cs(e.shape,eY),a=t.runWebGLProgram(n,[e],"int32");return{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}function Vv(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return Bn({inputs:{x:r},backend:n});let i=vt(r.shape),o=Vv({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=ps({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=Np({inputs:{input:r},backend:n}),o=Vv({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!k.hasEncodingLoss(r.dtype,s)){let i=Bn({inputs:{x:r},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(s==="int32")return tY(r,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",k.getTypedArrayFromDType("bool",1)),o=fS({inputs:{a:r,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var nY={kernelName:As,backendName:"webgl",kernelFunc:Vv},gS="return ceil(x);",aY=Ze({opSnippet:gS,packedOpSnippet:gS,cpuKernelImpl:v8}),rY={kernelName:Ro,backendName:"webgl",kernelFunc:aY},sY=class{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode=`
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uniform float minVal;
uniform float maxVal;
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void main() {
float value = getAAtOutCoords();
if (isnan(value)) {
setOutput(value);
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return;
}
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setOutput(clamp(value, minVal, maxVal));
}
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`}getCustomSetupFunc(e,t){return(n,a)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(a,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(a,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}},iY=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=`
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uniform float minVal;
uniform float maxVal;
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void main() {
vec4 value = getAAtOutCoords();
if (any(isnan(value))) {
setOutput(value);
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return;
}
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setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
}
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`}getCustomSetupFunc(e,t){return(n,a)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(a,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(a,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};function oY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o;ee().getBool("WEBGL_PACK_CLIP")?o=new iY(r.shape):o=new sY(r.shape);let l=o.getCustomSetupFunc(s,i);return n.runWebGLProgram(o,[r],r.dtype,l)}var lY={kernelName:zr,backendName:"webgl",kernelFunc:oY},uY=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=`
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void main() {
float re = abs(getRealAtOutCoords());
float im = abs(getImagAtOutCoords());
float mx = max(re, im);
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// sadly the length function in glsl is not underflow-safe
// (at least not on Intel GPUs). So the safe solution is
// to ensure underflow-safety in all cases.
setOutput(
mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))
);
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}
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`}};function yS(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function cY(e){let{inputs:t,backend:n}=e,{x:a}=t,r=n.texData.get(a.dataId),s=new uY(a.shape),i=[yS(a,r.complexTensorInfos.real),yS(a,r.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}var pY={kernelName:pc,backendName:"webgl",kernelFunc:cY},dY=class{constructor(e){this.outputShape=[],this.outputShape=_.computeOutShape(e,1),this.variableNames=e.map((s,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s<t.length;s++)t[s]=t[s-1]+e[s][1];let n=[`if (yC < ${t[0]}) setOutput(getT0(yR, yC));`];for(let s=1;s<t.length;s++){let i=t[s-1];n.push(`else if (yC < ${t[s]}) setOutput(getT${s}(yR, yC-${i}));`)}let a=t.length,r=t[t.length-1];n.push(`else setOutput(getT${a}(yR, yC-${r}));`),this.userCode=`
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void main() {
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ivec2 coords = getOutputCoords();
int yR = coords.x;
int yC = coords.y;
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${n.join(`
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`)}
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}
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`}},hY=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=_.computeOutShape(e,t);let n=this.outputShape,a=n.length,r=ft(a),s=mn("coords",a),i=["x","y","z","w","u","v"].slice(0,a);this.variableNames=e.map((m,f)=>`T${f}`);let o=new Array(e.length-1);o[0]=e[0][t];for(let m=1;m<o.length;m++)o[m]=o[m-1]+e[m][t];let l=i[t],c=i.slice(-2),u=i.join(),p=`if (${l} < ${o[0]}) {
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return getChannel(
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getT0(${u}), vec2(${c.join()}));
}`;for(let m=1;m<o.length;m++){let f=o[m-1];p+=`
if (${l} < ${o[m]} && ${l} >= ${o[m-1]}) {
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return getChannel(
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getT${m}(${Hm(i,l,f)}),
vec2(${Hm(c,l,f)}));
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}`}let d=o.length,h=o[o.length-1];p+=`
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return getChannel(
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getT${d}(${Hm(i,l,h)}),
vec2(${Hm(c,l,h)}));`,this.userCode=`
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float getValue(${i.map(m=>"int "+m)}) {
${p}
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}
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void main() {
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${r} coords = getOutputCoords();
vec4 result = vec4(getValue(${s}), 0., 0., 0.);
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${s[a-1]} = ${s[a-1]} + 1;
if (${s[a-1]} < ${n[a-1]}) {
result.g = getValue(${s});
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}
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${s[a-2]} = ${s[a-2]} + 1;
if (${s[a-2]} < ${n[a-2]}) {
result.a = getValue(${s});
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}
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${s[a-1]} = ${s[a-1]} - 1;
if (${s[a-2]} < ${n[a-2]} &&
${s[a-1]} < ${n[a-1]}) {
result.b = getValue(${s});
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}
setOutput(result);
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}
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`}};function Hm(e,t,n){let a=e.indexOf(t);return e.map((r,s)=>s===a?`${r} - ${n}`:r).join()}function jm(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return Bn({inputs:{x:r.complexTensorInfos.imag},backend:n})}var mY={kernelName:Md,backendName:"webgl",kernelFunc:jm};function mu(e,t,n){let a=e[0].dtype;if(a==="complex64"){let c=e.map(m=>Np({inputs:{input:m},backend:n})),u=e.map(m=>jm({inputs:{input:m},backend:n})),p=mu(c,t,n),d=mu(u,t,n),h=ps({inputs:{real:p,imag:d},backend:n});return c.forEach(m=>n.disposeIntermediateTensorInfo(m)),u.forEach(m=>n.disposeIntermediateTensorInfo(m)),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),h}if(a==="string"){let{tensors2D:c,outShape:u}=bS(e,t,n),p=c.map(g=>({vals:n.readSync(g.dataId),shape:g.shape})),d=c[0].shape[0]===1,h=w8(p,u,a,d),m=_.computeOutShape(e.map(g=>g.shape),t),f=n.makeTensorInfo(m,a,h);return c.forEach(g=>n.disposeIntermediateTensorInfo(g)),f}if(e.length>ee().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(e.length/2),u=mu(e.slice(0,c),t,n),p=mu(e.slice(c),t,n),d=mu([u,p],t,n);return n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),d}if(ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){let c=new hY(e.map(u=>u.shape),t);return n.runWebGLProgram(c,e,a)}let{tensors2D:r,outShape:s}=bS(e,t,n),i=new dY(r.map(c=>c.shape)),o=n.runWebGLProgram(i,r,a);r.forEach(c=>n.disposeIntermediateTensorInfo(c));let l=be({inputs:{x:o},attrs:{shape:s},backend:n});return n.disposeIntermediateTensorInfo(o),l}function bS(e,t,n){let a=_.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>be({inputs:{x:r},attrs:{shape:[-1,k.sizeFromShape(r.shape.slice(t))]},backend:n})),outShape:a}}function xS(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a,s=k.parseAxisParam(r,t[0].shape)[0],i=_.computeOutShape(t.map(c=>c.shape),s);if(k.sizeFromShape(i)===0)return n.makeTensorInfo(i,t[0].dtype,[]);let o=t.filter(c=>k.sizeFromShape(c.shape)>0);if(o.length===1)return Bn({inputs:{x:o[0]},backend:n});let l=o.map(c=>c.shape);return _.assertParamsConsistent(l,s),mu(o,s,n)}var fY={kernelName:Mo,backendName:"webgl",kernelFunc:xS},vS=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,c=e.dilationHeight,u=e.dilationWidth,p=e.filterHeight,d=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4,f=e.dataFormat==="channelsLast",g=f?1:2,y=f?2:3,b=f?3:1,v="",x="";n&&(a?v=`float activation(float a) {
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float b = getPreluActivationWeightsAtOutCoords();
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${n}
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}`:r?v=`float activation(float a) {
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float b = getLeakyreluAlphaAtOutCoords();
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${n}
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}`:v=`
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float activation(float x) {
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${n}
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}
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`,x="result = activation(result);");let N=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${v}
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const ivec2 strides = ivec2(${o}, ${l});
const ivec2 pads = ivec2(${s}, ${i});
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void main() {
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ivec4 coords = getOutputCoords();
int batch = coords[0];
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int d2 = coords[${b}];
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ivec2 xRCCorner =
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ivec2(coords[${g}], coords[${y}]) * strides - pads;
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int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int wR = 0; wR < ${p}; wR++) {
int xR = xRCorner + wR * ${c};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${d}; wC++) {
int xC = xCCorner + wC * ${u};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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for (int d1 = 0; d1 < ${h}; d1 += 4) {
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vec4 wValues = vec4(
getW(wR, wC, d1, d2),
getW(wR, wC, d1 + 1, d2),
getW(wR, wC, d1 + 2, d2),
getW(wR, wC, d1 + 3, d2)
);
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if (${f}) {
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vec4 xValues = vec4(
getX(batch, xR, xC, d1),
getX(batch, xR, xC, d1 + 1),
getX(batch, xR, xC, d1 + 2),
getX(batch, xR, xC, d1 + 3)
);
dotProd += dot(xValues, wValues);
} else {
vec4 xValues = vec4(
getX(batch, d1, xR, xC),
getX(batch, d1 + 1, xR, xC),
getX(batch, d1 + 2, xR, xC),
getX(batch, d1 + 3, xR, xC)
);
dotProd += dot(xValues, wValues);
}
}
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if (${m===1}) {
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if (${f}) {
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dotProd +=
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getX(batch, xR, xC, ${h}) *
getW(wR, wC, ${h}, d2);
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} else {
dotProd +=
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getX(batch, ${h}, xR, xC) *
getW(wR, wC, ${h}, d2);
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}
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} else if (${m===2}) {
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vec2 wValues = vec2(
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getW(wR, wC, ${h}, d2),
getW(wR, wC, ${h} + 1, d2)
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);
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if (${f}) {
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vec2 xValues = vec2(
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getX(batch, xR, xC, ${h}),
getX(batch, xR, xC, ${h} + 1)
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);
dotProd += dot(xValues, wValues);
} else {
vec2 xValues = vec2(
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getX(batch, ${h}, xR, xC),
getX(batch, ${h} + 1, xR, xC)
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);
dotProd += dot(xValues, wValues);
}
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} else if (${m===3}) {
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vec3 wValues = vec3(
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getW(wR, wC, ${h}, d2),
getW(wR, wC, ${h} + 1, d2),
getW(wR, wC, ${h} + 2, d2)
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);
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if (${f}) {
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vec3 xValues = vec3(
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getX(batch, xR, xC, ${h}),
getX(batch, xR, xC, ${h} + 1),
getX(batch, xR, xC, ${h} + 2)
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);
dotProd += dot(xValues, wValues);
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} else {
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vec3 xValues = vec3(
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getX(batch, ${h}, xR, xC),
getX(batch, ${h} + 1, xR, xC),
getX(batch, ${h} + 2, xR, xC)
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);
dotProd += dot(xValues, wValues);
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}
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}
}
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}
float result = dotProd;
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${N}
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${x}
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setOutput(result);
}
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`}},gY=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,a=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,c=e.dilationWidth,u=e.filterDepth,p=e.filterHeight,d=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4;this.userCode=`
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const ivec3 strides = ivec3(${r}, ${s}, ${i});
const ivec3 pads = ivec3(${t}, ${n}, ${a});
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void main() {
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ivec5 coords = getOutputCoords();
int batch = coords.x;
int d2 = coords.u;
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ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xFCorner = xFRCCorner.x;
int xRCorner = xFRCCorner.y;
int xCCorner = xFRCCorner.z;
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// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
float dotProd = 0.0;
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for (int wF = 0; wF < ${u}; wF++) {
int xF = xFCorner + wF * ${o};
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if (xF < 0 || xF >= ${e.inDepth}) {
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continue;
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}
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for (int wR = 0; wR < ${p}; wR++) {
int xR = xRCorner + wR * ${l};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${d}; wC++) {
int xC = xCCorner + wC * ${c};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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for (int d1 = 0; d1 < ${h}; d1 += 4) {
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vec4 xValues = vec4(
getX(batch, xF, xR, xC, d1),
getX(batch, xF, xR, xC, d1 + 1),
getX(batch, xF, xR, xC, d1 + 2),
getX(batch, xF, xR, xC, d1 + 3)
);
vec4 wValues = vec4(
getW(wF, wR, wC, d1, d2),
getW(wF, wR, wC, d1 + 1, d2),
getW(wF, wR, wC, d1 + 2, d2),
getW(wF, wR, wC, d1 + 3, d2)
);
dotProd += dot(xValues, wValues);
}
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if (${m===1}) {
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dotProd +=
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getX(batch, xF, xR, xC, ${h}) *
getW(wF, wR, wC, ${h}, d2);
} else if (${m===2}) {
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vec2 xValues = vec2(
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getX(batch, xF, xR, xC, ${h}),
getX(batch, xF, xR, xC, ${h} + 1)
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);
vec2 wValues = vec2(
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getW(wF, wR, wC, ${h}, d2),
getW(wF, wR, wC, ${h} + 1, d2)
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);
dotProd += dot(xValues, wValues);
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} else if (${m===3}) {
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vec3 xValues = vec3(
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getX(batch, xF, xR, xC, ${h}),
getX(batch, xF, xR, xC, ${h} + 1),
getX(batch, xF, xR, xC, ${h} + 2)
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);
vec3 wValues = vec3(
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getW(wF, wR, wC, ${h}, d2),
getW(wF, wR, wC, ${h} + 1, d2),
getW(wF, wR, wC, ${h} + 2, d2)
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);
dotProd += dot(xValues, wValues);
}
}
}
}
setOutput(dotProd);
}
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`}},yY=class{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let{filterWidth:a,inChannels:r,strideWidth:s,strideHeight:i,padInfo:o,outWidth:l,dilationWidth:c,dilationHeight:u,dataFormat:p}=n,{left:d,top:h}=o,m=r*a,f=hn(),g=p==="channelsLast",y=g?0:1,b=g?1:2,v="";for(let x=0;x<=1;x++)for(let N=0;N<=1;N++)v+=`
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blockIndex = rc.y + ${N};
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pos = rc.x + ${x};
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if(blockIndex < ${e[1]} && pos < ${e[0]}) {
offsetY = int(blockIndex / (${l})) * ${i} - ${h};
d0 = offsetY + ${u} * (pos / ${m});
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if(d0 < ${t[y]} && d0 >= 0) {
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offsetX = int(mod(float(blockIndex), ${l}.) * ${s}. - ${d}.);
d1 = offsetX + ${c} * (int(mod(float(pos), ${m}.) / ${r}.));
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if(d1 < ${t[b]} && d1 >= 0) {
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ch = int(mod(float(pos), ${r}.));
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if (${g}) {
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innerDims = vec2(d1, ch);
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result[${x*2+N}] = getChannel(
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getA(d0, int(innerDims.x),
int(innerDims.y)), innerDims);
} else {
innerDims = vec2(d0, d1);
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result[${x*2+N}] = getChannel(
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getA(ch, int(innerDims.x),
int(innerDims.y)), innerDims);
}
}
}
}
`;this.userCode=`
void main() {
ivec2 rc = getOutputCoords();
vec4 result = vec4(0);
int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
vec2 innerDims;
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${v}
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${f.output} = result;
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}
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`}};function wS({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,c=a.texData.get(e.dataId),u=n.inChannels,p=l[0]*l[1]*l[2],d=n.outChannels,h=n.dataFormat==="channelsLast",m=!1,f=!1,g,y=[],b=(p===1||d===1)&&u>uS,v=l[2]%2!=0&&!!c.isPacked;if(b||!ee().getBool("WEBGL_LAZILY_UNPACK")||!ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!v){let x=h?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],N=be({inputs:{x:e},backend:a,attrs:{shape:[1,x,n.inChannels]}}),T=be({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),C=Um({a:N,b:T,transposeA:m,transposeB:f,backend:a,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=be({inputs:{x:C},backend:a,attrs:{shape:n.outShape}}),y.push(N),y.push(T),y.push(C)}else{let x=h?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),N={dataId:e.dataId,shape:[1,x,n.inChannels],dtype:e.dtype},T=c.shape;c.shape=c.shape.slice(),c.shape[c.shape.length-2]++,k.assert(Lm(c.shape,N.shape),()=>`packed reshape ${c.shape} to ${N.shape} isn't free`);let C=be({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});y.push(C);let $=Um({a:N,b:C,backend:a,transposeA:m,transposeB:f,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),F=a.texData.get($.dataId);k.assert(F.isPacked,()=>"batchMatMul result is expected to be packed"),c.shape=T,F.shape=n.outShape,g=Bn({inputs:{x:$},backend:a}),g.shape=n.outShape,y.push($)}for(let x of y)a.disposeIntermediateTensorInfo(x);return g}function kS({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:c,inChannels:u,outWidth:p,outHeight:d,dataFormat:h}=n,m=h==="channelsLast",f=l*c*u,g=d*p,y=[f,g],b=!0,v=!1,x=[],N=be({inputs:{x:e},backend:a,attrs:{shape:e.shape.slice(1)}}),T=be({inputs:{x:t},backend:a,attrs:{shape:[1,f,k.sizeFromShape(t.shape)/f]}});x.push(N),x.push(T);let C=new yY(y,N.shape,n),$=a.runWebGLProgram(C,[N],"float32"),F=be({inputs:{x:$},backend:a,attrs:{shape:[1,y[0],y[1]]}});x.push($),x.push(F);let O=r!=null,B=s!=null,W=o==="leakyrelu",G=o?Wm(o,!0):null,q=new aS(F.shape,T.shape,[1,g,n.outChannels],b,v,O,G,B,W),H=[F,T];if(r&&H.push(r),B&&H.push(s),W){let J=a.makeTensorInfo([],"float32",k.createScalarValue(i,"float32"));H.push(J),x.push(J)}let K=a.runWebGLProgram(q,H,"float32"),X=m?[1,d,p,n.outChannels]:[1,n.outChannels,d,p],ne=be({inputs:{x:K},backend:a,attrs:{shape:X}});x.push(K);for(let J of x)a.disposeIntermediateTensorInfo(J);return ne}function bY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:c,dimRoundingMode:u}=a,p=_.convertConv2DDataFormat(l),d=_.computeConv2DInfo(r.shape,s.shape,i,c,o,u,!1,p),h;if(d.filterHeight===1&&d.filterWidth===1&&d.dilationHeight===1&&d.dilationWidth===1&&d.strideHeight===1&&d.strideWidth===1&&(d.padInfo.type==="SAME"||d.padInfo.type==="VALID"))h=wS({x:r,filter:s,convInfo:d,backend:n});else if(ee().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)h=kS({x:r,filter:s,convInfo:d,backend:n});else{let f=new vS(d);h=n.runWebGLProgram(f,[r,s],"float32")}let m=be({inputs:{x:h},backend:n,attrs:{shape:d.outShape}});return n.disposeIntermediateTensorInfo(h),m}var xY={kernelName:Fs,backendName:"webgl",kernelFunc:bY},vY=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
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int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int d2 = coords.w;
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// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int b = 0; b < ${e.batchSize}; b++) {
for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${t} - ${a};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${r};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
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}
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if (${s}) {
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float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
} else {
float dyValue = getDy(b, d2, yR, yC);
float xValue = getX(b, d1, xR, xC);
dotProd += (xValue * dyValue);
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}
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}
}
}
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setOutput(dotProd);
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}
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`}},wY=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,c=s?2:3,u=s?3:1;this.userCode=`
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const ivec2 pads = ivec2(${i}, ${o});
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void main() {
ivec4 coords = getOutputCoords();
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int batch = coords[0];
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int d1 = coords[${u}];
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ivec2 dyCorner = ivec2(coords[${l}], coords[${c}]) - pads;
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int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
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// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
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// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int wR = 0; wR < ${t}; wR++) {
float dyR = float(dyRCorner + wR) / ${a}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
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continue;
}
int idyR = int(dyR);
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int wRPerm = ${t} - 1 - wR;
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for (int wC = 0; wC < ${n}; wC++) {
float dyC = float(dyCCorner + wC) / ${r}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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int wCPerm = ${n} - 1 - wC;
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for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
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if (${s}) {
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float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
} else {
float xValue = getDy(batch, d2, idyR, idyC);
float wValue = getW(wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
}
}
}
}
setOutput(dotProd);
}
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`}},kY=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=`
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void main() {
ivec5 coords = getOutputCoords();
int wF = coords.x;
int wR = coords.y;
int wC = coords.z;
int d1 = coords.w;
int d2 = coords.u;
float dotProd = 0.0;
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for (int b = 0; b < ${e.batchSize}; b++) {
for (int yF = 0; yF < ${e.outDepth}; yF++) {
int xF = wF + yF * ${t} - ${r};
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if (xF < 0 || xF >= ${e.inDepth}) {
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continue;
}
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for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${n} - ${s};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${a} - ${i};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
float dyValue = getDy(b, yF, yR, yC, d2);
float xValue = getX(b, xF, xR, xC, d1);
dotProd += (xValue * dyValue);
}
}
}
}
setOutput(dotProd);
}
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`}},IY=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,c=a-1-e.padInfo.left;this.userCode=`
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const ivec3 pads = ivec3(${o}, ${l}, ${c});
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int d1 = coords.u;
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ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
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int dyFCorner = dyCorner.x;
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int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
float dotProd = 0.0;
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for (int wF = 0; wF < ${t}; wF++) {
float dyF = float(dyFCorner + wF) / ${r}.0;
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if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {
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continue;
}
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int idyF = int(dyF);
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int wFPerm = ${t} - 1 - wF;
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for (int wR = 0; wR < ${n}; wR++) {
float dyR = float(dyRCorner + wR) / ${s}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
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fract(dyR) > 0.0) {
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continue;
}
int idyR = int(dyR);
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int wRPerm = ${n} - 1 - wR;
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for (int wC = 0; wC < ${a}; wC++) {
float dyC = float(dyCCorner + wC) / ${i}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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int wCPerm = ${a} - 1 - wC;
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for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
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float xValue = getDy(batch, idyF, idyR, idyC, d2);
float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
}
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}
}
}
setOutput(dotProd);
}
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`}};function NY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:c,filterShape:u}=a,p=_.convertConv2DDataFormat(l),d=_.computeConv2DInfo(r.shape,u,i,1,o,c,!1,p),h=new vY(d);return n.runWebGLProgram(h,[r,s],"float32")}var TY={kernelName:Id,backendName:"webgl",kernelFunc:NY};function SY(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:c,dimRoundingMode:u}=a,p=_.convertConv2DDataFormat(c),d=_.computeConv2DInfo(i,s.shape,o,1,l,u,!1,p),h=new wY(d);return n.runWebGLProgram(h,[r,s],"float32")}var CY={kernelName:$s,backendName:"webgl",kernelFunc:SY};function _Y(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,c=_.computeConv3DInfo(r.shape,s.shape,i,l,o),u=new gY(c);return n.runWebGLProgram(u,[r,s],"float32")}var EY={kernelName:dc,backendName:"webgl",kernelFunc:_Y};function AY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=a,c=_.computeConv3DInfo(r.shape,l,i,1,o),u=new kY(c);return n.runWebGLProgram(u,[r,s],"float32")}var FY={kernelName:Nd,backendName:"webgl",kernelFunc:AY};function $Y(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=a,c=_.computeConv3DInfo(l,s.shape,o,1,i),u=new IY(c);return n.runWebGLProgram(u,[r,s],"float32")}var DY={kernelName:Td,backendName:"webgl",kernelFunc:$Y},RY=nS+`
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return cos(x);
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`,MY=Ze({opSnippet:RY}),PY={kernelName:Ds,backendName:"webgl",kernelFunc:MY},OY=`
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float e2x = exp(-x);
return (e2x + 1.0 / e2x) / 2.0;
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`,LY=Ze({opSnippet:OY}),zY={kernelName:Po,backendName:"webgl",kernelFunc:LY},BY=class{constructor(e,t,n,a,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[c]=t,[u,p]=n;this.outputShape=[c,u,p,l];let d=a==="bilinear"?1:0,[h,m]=[`${i-1}.0`,`${o-1}.0`],[f,g,y]=u>1?[`${(i-1)/(u-1)}`,"(y2-y1) * height_ratio",`y1*${h} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${h}`],[b,v,x]=p>1?[`${(o-1)/(p-1)}`,"(x2-x1) * width_ratio",`x1*${m} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${m}`];this.userCode=`
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const float height_ratio = float(${f});
const float width_ratio = float(${b});
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int y = coords[1];
int x = coords[2];
int d = coords[3];
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// get box vals
float y1 = getBoxes(b,0);
float x1 = getBoxes(b,1);
float y2 = getBoxes(b,2);
float x2 = getBoxes(b,3);
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// get image in batch index
int bInd = round(getBoxInd(b));
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if(bInd < 0 || bInd >= ${s}) {
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return;
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}
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float height_scale = ${g};
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float width_scale = ${v};
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float in_y = ${y};
if( in_y < 0.0 || in_y > ${h} ) {
setOutput(float(${r}));
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return;
}
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float in_x = ${x};
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if( in_x < 0.0 || in_x > ${m} ) {
setOutput(float(${r}));
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return;
}
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vec2 sourceFracIndexCR = vec2(in_x,in_y);
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if(${d} == 1) {
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// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);
ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));
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float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);
float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);
float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);
float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);
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vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);
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float top = topLeft + (topRight - topLeft) * fracCR.x;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;
float newValue = top + (bottom - top) * fracCR.y;
setOutput(newValue);
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2(floor(
sourceFracIndexCR + vec2(0.5,0.5)));
float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);
setOutput(newValue);
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}
}
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`}},WY=e=>{let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:c}=a,u=new BY(r.shape,s.shape,o,l,c);return n.runWebGLProgram(u,[r,s,i],"float32")},VY={kernelName:Oo,backendName:"webgl",kernelFunc:WY},TS=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;let a=e.length,r=t?"0.0":`getX(${IS(a,"coords")})`,s=e[e.length-1],i="",o="";t?(i=n?`end != ${s-1}`:"end != 0",o=n?"end + 1":"end - 1"):(i=n?`end + pow2 < ${s}`:"end >= pow2",o=n?"end + pow2":"end - pow2"),this.userCode=`
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uniform float index;
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void main() {
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${ft(a)} coords = getOutputCoords();
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int end = ${NS(a,"coords")};
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float val = ${r};
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int pow2 = int(pow(2.0, index));
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if (${i}) {
int idx = ${o};
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${NS(a,"coords")} = idx;
val += getX(${IS(a,"coords")});
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}
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setOutput(val);
}
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`}getCustomSetupFunc(e){return(t,n)=>{this.index==null&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}};function IS(e,t){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw Error(`Cumulative sum for rank ${e} is not yet supported`)}function NS(e,t){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw Error(`Cumulative sum for rank ${e} is not yet supported`)}function UY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a,l=r.shape.length,c=_.getAxesPermutation([s],l),u=r;c!=null&&(u=Tn({inputs:{x:r},backend:n,attrs:{perm:c}}));let p=_.getInnerMostAxes(1,l)[0];if(p!==l-1)throw new Error(`WebGL cumsum shader expects an inner-most axis=${r.shape.length-1} but got axis=${s}`);let d=r.shape[p],h=Bn({inputs:{x:u},backend:n});for(let m=0;m<=Math.ceil(Math.log2(d))-1;m++){let f=new TS(u.shape,!1,o),g=f.getCustomSetupFunc(m),y=h;h=n.runWebGLProgram(f,[h],h.dtype,g),n.disposeIntermediateTensorInfo(y)}if(i){let m=new TS(u.shape,i,o),f=h;h=n.runWebGLProgram(m,[h],h.dtype),n.disposeIntermediateTensorInfo(f)}if(c!=null){let m=_.getUndoAxesPermutation(c),f=Tn({inputs:{x:h},backend:n,attrs:{perm:m}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(u),f}return h}var GY={kernelName:Rs,backendName:"webgl",kernelFunc:UY};function HY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=a;if(r.shape.length===1){let l=n.readSync(r.dataId),c=n.readSync(s.dataId),u=UT(l,c,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}else if(r.shape.length===2){let l=n.bufferSync(r),c=n.bufferSync(s),u=x8(l,c,i,o);return n.makeTensorInfo(u.shape,s.dtype,u.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var jY={kernelName:Sd,backendName:"webgl",kernelFunc:HY},qY=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int h = ${this.getHeightCoordString()};
int w = ${this.getWidthCoordString()};
int d = ${this.getDepthCoordString()};
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int in_h = h / ${t};
int offset_h = imod(h, ${t});
int in_w = w / ${t};
int offset_w = imod(w, ${t});
int offset_d = (offset_h * ${t} + offset_w) *
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${this.getOutputDepthSize()};
int in_d = d + offset_d;
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float result = ${this.getInputSamplingString()};
setOutput(result);
}
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`}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function KY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockSize:s,dataFormat:i}=a;k.assert(s>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${s}`);let o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],c=i==="NHWC"?r.shape[2]:r.shape[3],u=i==="NHWC"?r.shape[3]:r.shape[1],p=l*s,d=c*s,h=u/(s*s),m=i==="NHWC"?[o,p,d,h]:[o,h,p,d],f=new qY(m,s,i);return n.runWebGLProgram(f,[r],r.dtype)}var XY={kernelName:Lo,backendName:"webgl",kernelFunc:KY},SS=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.inHeight,i=e.inWidth,o=e.padInfo.top,l=e.padInfo.left,c=e.strideHeight,u=e.strideWidth,p=e.dilationHeight,d=e.dilationWidth,h=e.filterHeight,m=e.filterWidth,f=e.outChannels/e.inChannels,g="",y="";n&&(a?g=`float activation(float a) {
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float b = getPreluActivationWeightsAtOutCoords();
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${n}
}`:r?g=`float activation(float a) {
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float b = getLeakyreluAlphaAtOutCoords();
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${n}
}`:g=`
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float activation(float x) {
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${n}
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}
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`,y="result = activation(result);");let b=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${g}
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const ivec2 strides = ivec2(${c}, ${u});
const ivec2 pads = ivec2(${o}, ${l});
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void main() {
ivec4 coords = getOutputCoords();
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int batch = coords.x;
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ivec2 xRCCorner = coords.yz * strides - pads;
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int d2 = coords.w;
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int d1 = d2 / ${f};
int q = d2 - d1 * ${f};
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int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
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for (int wR = 0; wR < ${h}; wR++) {
int xR = xRCorner + wR * ${p};
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if (xR < 0 || xR >= ${s}) {
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continue;
}
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for (int wC = 0; wC < ${m}; wC++) {
int xC = xCCorner + wC * ${d};
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if (xC < 0 || xC >= ${i}) {
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continue;
}
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float xVal = getX(batch, xR, xC, d1);
float wVal = getW(wR, wC, d1, q);
dotProd += xVal * wVal;
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}
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}
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float result = dotProd;
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${b}
${y}
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setOutput(result);
}
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`}},CS=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;let s=e.inHeight,i=e.inWidth,o=e.padInfo.top,l=e.padInfo.left,c=e.strideHeight,u=e.strideWidth,p=e.dilationHeight,d=e.dilationWidth,h=e.filterHeight,m=e.filterWidth,f=m,g="int xR; int xC; int xCOffset;";for(let x=0;x<h;x++)for(let N=0;N<m;N++)g+=`
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vec4 xTexelR${x}C${N*2} = vec4(0.);
vec4 wR${x}C${N} = vec4(0.);
vec4 xR${x}C${N} = vec4(0.);`;for(let x=0;x<h;x++)for(let N=0;N<f;N++){let T=N*2;if(g+=`
xR = xRCorner + ${x*p};
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xC = xCCorner + ${T*d};
`,u===1){if(T<m&&(l%2==1?g+=`
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xCOffset = xC + 1;
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if(xR >= 0 && xR < ${s} && xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${T} = getX(batch, xR, xCOffset, d1);
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
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if(xCOffset + 1 >= ${i}) {
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xTexelR${x}C${T}.zw = vec2(0.);
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}
} else {
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xTexelR${x}C${T} = vec4(0.);
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}
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xCOffset = xC + 1 - 2;
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if(xR >= 0 && xR < ${s} && xCOffset >= 0 && xCOffset < ${i}) {
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vec4 previous = getX(batch, xR, xCOffset, d1);
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
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if(xCOffset + 1 >= ${i}) {
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previous.zw = vec2(0.);
}
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xR${x}C${T} = vec4(previous.zw, xTexelR${x}C${T}.xy);
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} else {
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xR${x}C${T} = vec4(0, 0, xTexelR${x}C${T}.xy);
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}
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`:g+=`
if(xR >= 0 && xR < ${s} && xC >= 0 && xC < ${i}) {
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xTexelR${x}C${T} = getX(batch, xR, xC, d1);
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} else {
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xTexelR${x}C${T} = vec4(0.);
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}
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xR${x}C${T} = xTexelR${x}C${T};
`,T+1<m)){let C=l%2==0?k.nearestLargerEven(d):d;d%2==0&&l%2==1||d%2!=0&&l%2!=1?(g+=`
xCOffset = xC + ${l%2} + ${C};
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if(xR >= 0 && xR < ${s} &&
xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${T+2} = getX(batch, xR, xCOffset, d1);
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}
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`,d>1&&(g+=`
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xCOffset -= 2;
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if(xR >= 0 && xR < ${s} &&
xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${T} = getX(batch, xR, xCOffset, d1);
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} else {
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xTexelR${x}C${T} = vec4(0.);
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}
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`),g+=`
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xR${x}C${T+1} = vec4(
xTexelR${x}C${T}.zw, xTexelR${x}C${T+2}.xy);
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`):g+=`
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xCOffset = xC + ${C};
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if(xR >= 0 && xR < ${s} &&
xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${T+2} = getX(batch, xR, xCOffset, d1);
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}
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xR${x}C${T+1} = xTexelR${x}C${T+2};
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`}}else T<m&&(g+=`
if(xR >= 0 && xR < ${s}) {
`,l%2==1?(g+=`
xCOffset = xC + 1 - ${u};
if(xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${T} = getX(batch, xR, xCOffset, d1);
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} else {
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xTexelR${x}C${T} = vec4(0.);
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}
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if(xC + 1 >= 0 && xC + 1 < ${i}) {
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xTexelR${x}C${T+2} = getX(batch, xR, xC + 1, d1);
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} else {
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xTexelR${x}C${T+2} = vec4(0.);
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}
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xR${x}C${T} = vec4(
xTexelR${x}C${T}.zw, xTexelR${x}C${T+2}.zw);
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`,T+1<m&&(g+=`
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vec4 final = vec4(0.);
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xCOffset = xC + 1 + ${u};
if(xCOffset >= 0 && xCOffset < ${i}) {
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final = getX(batch, xR, xCOffset, d1);
}
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xR${x}C${T+1} = vec4(xTexelR${x}C${T+2}.xy, final.xy);
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`)):(g+=`
if(xC >= 0 && xC < ${i}) {
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xTexelR${x}C${T} = getX(batch, xR, xC, d1);
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} else {
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xTexelR${x}C${T} = vec4(0.);
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}
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xCOffset = xC + ${u};
if(xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${T+2} = getX(batch, xR, xCOffset, d1);
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} else {
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xTexelR${x}C${T+2} = vec4(0.);
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}
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xR${x}C${T} = vec4(
xTexelR${x}C${T}.xy, xTexelR${x}C${T+2}.xy);
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`,T+1<m&&(g+=`
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xR${x}C${T+1} = vec4(
xTexelR${x}C${T}.zw, xTexelR${x}C${T+2}.zw);
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`)),g+="}");T<m&&(g+=`
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vec4 wTexelR${x}C${T} = getW(${x}, ${T}, d1, q);
wR${x}C${T} = vec4(wTexelR${x}C${T}.xz, wTexelR${x}C${T}.xz);
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`,T+1<m&&(g+=`
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vec4 wTexelR${x}C${T+1} = getW(${x}, ${T+1}, d1, q);
wR${x}C${T+1} =
vec4(wTexelR${x}C${T+1}.xz, wTexelR${x}C${T+1}.xz);`))}for(let x=0;x<h;x++)for(let N=0;N<m;N++)g+=`dotProd += xR${x}C${N} * wR${x}C${N};`;let y="",b="";n&&(a?y=`vec4 activation(vec4 a) {
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vec4 b = getPreluActivationWeightsAtOutCoords();
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${n}
}`:r?y=`vec4 activation(vec4 a) {
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vec4 b = getLeakyreluAlphaAtOutCoords();
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${n}
}`:y=`vec4 activation(vec4 x) {
${n}
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}`,b="result = activation(result);");let v=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
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${y}
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const ivec2 strides = ivec2(${c}, ${u});
const ivec2 pads = ivec2(${o}, ${l});
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void main() {
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ivec4 coords = getOutputCoords();
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int batch = coords.x;
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ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
int d1 = d2;
int q = 0;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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vec4 dotProd = vec4(0.);
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${g}
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vec4 result = dotProd;
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${v}
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${b}
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setOutput(result);
}
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`}};function YY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l,dimRoundingMode:c}=a,u=l;u==null&&(u=[1,1]),k.assert(_.eitherStridesOrDilationsAreOne(i,u),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=_.computeConv2DInfo(r.shape,s.shape,i,u,o,c,!0),d;return ee().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels==1?d=new CS(p):d=new SS(p),n.runWebGLProgram(d,[r,s],"float32")}var ZY={kernelName:Ms,backendName:"webgl",kernelFunc:YY},JY=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int dm = coords.w;
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int d2 = d1 * ${s} + dm;
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float dotProd = 0.0;
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// TO DO: Vec4 over the batch size
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for (int b = 0; b < ${e.batchSize}; b++) {
for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${t} - ${a};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${r};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
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}
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}
}
setOutput(dotProd);
}
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`}},QY=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=`
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const ivec2 pads = ivec2(${s}, ${i});
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void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d1 = coords[3];
ivec2 dyCorner = coords.yz - pads;
int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
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float dotProd = 0.0;
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for (int wR = 0; wR < ${t}; wR++) {
float dyR = float(dyRCorner + wR) / ${a}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
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continue;
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}
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int idyR = int(dyR);
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int wRPerm = ${t} - 1 - wR;
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for (int wC = 0; wC < ${n}; wC++) {
float dyC = float(dyCCorner + wC) / ${r}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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int wCPerm = ${n} - 1 - wC;
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// TO DO: Vec4 over the channelMul
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for (int dm = 0; dm < ${o}; dm++) {
int d2 = d1 * ${o} + dm;
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float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, dm);
dotProd += xValue * wValue;
}
}
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}
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setOutput(dotProd);
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}
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`}};function e7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:c,filterShape:u}=a,p=_.computeConv2DInfo(r.shape,u,i,o,l,c,!0),d=new JY(p);return n.runWebGLProgram(d,[r,s],"float32")}var t7={kernelName:Cd,backendName:"webgl",kernelFunc:e7};function n7(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:c,inputShape:u}=a,p=_.computeConv2DInfo(u,s.shape,i,o,l,c,!0),d=new QY(p);return n.runWebGLProgram(d,[r,s],"float32")}var a7={kernelName:_d,backendName:"webgl",kernelFunc:n7},r7=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=`
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void main() {
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ivec2 coords = getOutputCoords();
float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
setOutput(val);
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}
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`}};function s7(e){let{inputs:t,backend:n}=e,{x:a}=t,r=[...a.shape,...a.shape],s=k.sizeFromShape(a.shape),i=be({inputs:{x:a},backend:n,attrs:{shape:[s]}}),o=new r7(s),l=n.runWebGLProgram(o,[i],i.dtype),c=be({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),c}var i7={kernelName:Ed,backendName:"webgl",kernelFunc:s7},o7=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:a,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:c}=e,{top:u,left:p}=a;this.userCode=`
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const ivec2 strides = ivec2(${r}, ${s});
const ivec2 pads = ivec2(${u}, ${p});
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const float neg_infinity = -3.4e38;
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void main() {
ivec4 coords = getOutputCoords();
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int batch = coords.x;
int d1 = coords.w;
ivec2 outTopLeftCorner =
coords.yz * strides - pads;
int hBeg = outTopLeftCorner.x;
int wBeg = outTopLeftCorner.y;
float curVal = neg_infinity;
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for (int h = 0; h < ${i}; h++) {
int hIn = hBeg + h * ${l};
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if (hIn >= 0 && hIn < ${t}) {
for (int w = 0; w < ${o}; w++) {
int wIn = wBeg + w * ${c};
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if (wIn >= 0 && wIn < ${n}) {
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float xVal = getX(batch, hIn, wIn, d1);
float wVal = getW(h, w, d1);
float val = xVal + wVal;
if (val > curVal) {
curVal = val;
}
}
}
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}
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}
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float result = curVal;
setOutput(result);
}
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`}};function l7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,c=_.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),u,p=new o7(c);u=n.runWebGLProgram(p,[r,s],"float32");let d=be({inputs:{x:u},backend:n,attrs:{shape:c.outShape}});return n.disposeIntermediateTensorInfo(u),d}var u7={kernelName:hc,backendName:"webgl",kernelFunc:l7},c7="return (x >= 0.0) ? x : (exp(x) - 1.0);",p7=`
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vec4 result;
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result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
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return result;
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`,d7=Ze({opSnippet:c7,packedOpSnippet:p7}),h7={kernelName:zo,backendName:"webgl",kernelFunc:d7},m7="return (b >= 1.0) ? a : a * (b + 1.0);",f7=`
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vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
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`,g7=e=>{let{inputs:t,backend:n}=e,{dy:a,y:r}=t,s=ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new wp(f7,a.shape,r.shape):new hu(m7,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)},y7={kernelName:$d,backendName:"webgl",kernelFunc:g7},b7=`
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return vec4(equal(a, b));
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`,x7="return float(a == b);",v7=nn({opSnippet:x7,packedOpSnippet:b7,dtype:"bool"}),w7={kernelName:Wo,backendName:"webgl",kernelFunc:v7},k7=`
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// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
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float p = ${_.ERF_P};
float a1 = ${_.ERF_A1};
float a2 = ${_.ERF_A2};
float a3 = ${_.ERF_A3};
float a4 = ${_.ERF_A4};
float a5 = ${_.ERF_A5};
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float sign = sign(x);
x = abs(x);
float t = 1.0 / (1.0 + p * x);
return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));
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`,I7=Ze({opSnippet:k7}),N7={kernelName:Bo,backendName:"webgl",kernelFunc:I7},_S="return exp(x);",ES=Ze({opSnippet:_S,packedOpSnippet:_S,cpuKernelImpl:k8}),T7={kernelName:Os,backendName:"webgl",kernelFunc:ES};function Uv(e){let{inputs:t,attrs:n,backend:a}=e,{dim:r}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(k.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),be({inputs:{x:s},backend:a,attrs:{shape:o}})}var S7={kernelName:Vo,backendName:"webgl",kernelFunc:Uv},AS="return exp(x) - 1.0;",C7=Ze({opSnippet:AS,packedOpSnippet:AS,cpuKernelImpl:I8}),_7={kernelName:Uo,backendName:"webgl",kernelFunc:C7},FS=class{constructor(e,t,n){this.variableNames=["real","imag"];let a=t[1];this.outputShape=t;let r=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=n?`${a}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=`
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const float exponentMultiplier = ${r};
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float unaryOpComplex(float real, float expR, float imag, float expI) {
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${i}
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}
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float mulMatDFT(int batch, int index) {
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float indexRatio = float(index) / float(${a});
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float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio;
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float result = 0.0;
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for (int i = 0; i < ${a}; i++) {
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// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float(i);
float expR = cos(x);
float expI = sin(x);
float real = getReal(batch, i);
float imag = getImag(batch, i);
result +=
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unaryOpComplex(real, expR, imag, expI) / ${s};
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}
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return result;
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}
void main() {
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ivec2 coords = getOutputCoords();
setOutput(mulMatDFT(coords[0], coords[1]));
}
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`}};function $S(e,t,n){let a=n.texData.get(e.dataId),r=k.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=be({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,c=new FS("real",l,t),u=new FS("imag",l,t),p=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:l},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:l}],d=n.runWebGLProgram(c,p,"float32"),h=n.runWebGLProgram(u,p,"float32"),m=ps({inputs:{real:d,imag:h},backend:n});n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h);let f=be({inputs:{x:m},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(m),f}function E7(e){let{inputs:t,backend:n}=e,{input:a}=t;return $S(a,!1,n)}var A7={kernelName:Dd,backendName:"webgl",kernelFunc:E7},F7=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode=`
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uniform float value;
void main() {
// Input can be obtained from uniform value.
setOutput(value);
}
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`}getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}};function Gv(e){let{backend:t,attrs:n}=e,{shape:a,value:r}=n,{dtype:s}=n;if(s=s||k.inferDtype(r),s==="string"){let i=k.getArrayFromDType(s,k.sizeFromShape(a));return i.fill(r),t.makeTensorInfo(a,s,i)}else{let i=new F7(a,r),o=i.getCustomSetupFunc(r);return t.runWebGLProgram(i,[],s,o)}}var $7={kernelName:mc,backendName:"webgl",kernelFunc:Gv},D7=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
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int coordX = ${t} - x;
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float outputValue;
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if(coordX >= 0 && coordX < ${t}) {
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outputValue = getImage(coords[0], coords[1], coordX, coords[3]);
} else {
outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);
}
setOutput(outputValue);
}
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`}},R7={kernelName:Go,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,a=t,r=new D7(n.shape);return a.runWebGLProgram(r,[n],n.dtype)}},DS="return floor(x);",M7=Ze({opSnippet:DS,packedOpSnippet:DS,cpuKernelImpl:N8}),P7={kernelName:Ls,backendName:"webgl",kernelFunc:M7},O7=`
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float s = sign(a) * sign(b);
int ia = round(a);
int ib = round(b);
if (ib != 0) {
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
return float(idiv(ia, ib, s));
} else {
return NAN;
}
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`,L7=`
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ivec4 ia = round(a);
ivec4 ib = round(b);
bvec4 cond = notEqual(ib, ivec4(0));
ivec4 result = ivec4(0);
vec4 s = sign(a) * sign(b);
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// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if (cond[0]) {
result[0] = idiv(ia[0], ib[0], s[0]);
}
if (cond[1]) {
result[1] = idiv(ia[1], ib[1], s[1]);
}
if (cond[2]) {
result[2] = idiv(ia[2], ib[2], s[2]);
}
if (cond[3]) {
result[3] = idiv(ia[3], ib[3], s[3]);
}
return vec4(result);
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`,z7=nn({opSnippet:O7,packedOpSnippet:L7,dtype:"int32"}),B7={kernelName:zs,backendName:"webgl",kernelFunc:z7},W7=class{constructor(e){this.variableNames=["A"];let t=hn(),[n,a]=e;this.outputShape=e,this.userCode=`
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void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
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vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${a}.0, ${n}.0);
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vec4 values = ${t.texture2D}(A, uv);
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float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
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setOutput(floor(value * 255.0 + 0.5));
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}
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`}},V7=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=hn(),[n,a]=e;this.outputShape=e,this.userCode=`
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void main() {
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ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
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vec4 result = vec4(0.);
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for(int row=0; row<=1; row++) {
for(int col=0; col<=1; col++) {
texC = coords[1] + row;
depth = coords[2] + col;
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vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${a}.0, ${n}.0);
vec4 values = ${t.texture2D}(A, uv);
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float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
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result[row * 2 + col] = floor(value * 255.0 + 0.5);
}
}
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${t.output} = result;
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}
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`}},G7={kernelName:qd,backendName:"webgl",kernelFunc:U7},fu;function U7(e){let{inputs:t,backend:n,attrs:a}=e,{pixels:r}=t,{numChannels:s}=a,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,l=typeof ImageBitmap!="undefined"&&r instanceof ImageBitmap,[c,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,c],d=[u,c,s];(o||i||l)&&(fu==null&&(fu=document.createElement("canvas").getContext("2d")),fu.canvas.width=c,fu.canvas.height=u,fu.drawImage(r,0,0,c,u),r=fu.canvas);let h=n.makeTensorInfo(p,"int32");n.texData.get(h.dataId).usage=Qn.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(h.dataId),r);let m=ee().getBool("WEBGL_PACK")?new V7(d):new W7(d),f=n.runWebGLProgram(m,[h],"int32");return n.disposeData(h.dataId),f}function H7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:c,dataFormat:u,dilations:p,dimRoundingMode:d,activation:h,leakyreluAlpha:m}=a,f=_.convertConv2DDataFormat(u),g=_.computeConv2DInfo(r.shape,s.shape,l,p,c,d,!1,f),y,b=[];if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))y=wS({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else if(ee().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)y=kS({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else{let x=i!=null,N=o!=null,T=h==="leakyrelu",C=h?Wm(h,!1):null,$=new vS(g,x,C,N,T),F=[r,s];if(i&&F.push(i),o&&F.push(o),T){let O=n.makeTensorInfo([],"float32",k.createScalarValue(m,"float32"));F.push(O),b.push(O)}y=n.runWebGLProgram($,F,"float32")}let v=be({inputs:{x:y},backend:n,attrs:{shape:g.outShape}});return b.push(y),b.forEach(x=>n.disposeIntermediateTensorInfo(x)),v}var j7={kernelName:yi,backendName:"webgl",kernelFunc:H7};function q7(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:c,dilations:u,dimRoundingMode:p,activation:d,leakyreluAlpha:h}=a,m=[],f=u;f==null&&(f=[1,1]),k.assert(_.eitherStridesOrDilationsAreOne(l,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${f}'`);let g=_.computeConv2DInfo(r.shape,s.shape,l,f,c,p,!0),y=ee().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,b=d?Wm(d,y):null,v=[r,s],x=i!=null,N=o!=null,T=d==="leakyrelu";if(x&&v.push(i),N&&v.push(o),T){let F=n.makeTensorInfo([],"float32",k.createScalarValue(h,"float32"));v.push(F),m.push(F)}let C;y?C=new CS(g,x,b,N,T):C=new SS(g,x,b,N,T);let $=n.runWebGLProgram(C,v,"float32");return m.forEach(F=>n.disposeIntermediateTensorInfo(F)),$}var K7={kernelName:bi,backendName:"webgl",kernelFunc:q7},X7=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let a=ft(t.length),r=ft(n.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
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${a} strides = ${a}(${this.strides});
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void main() {
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${r} coords = getOutputCoords();
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int flattenIndex = 0;
for (int j = 0; j < ${this.sliceDim}; j++) {
int index = round(getIndices(coords[0], j));
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flattenIndex += index * ${s};
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}
setOutput(getX(flattenIndex, coords[1]));
}
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`}};function Y7(e){let{inputs:t,backend:n}=e,{params:a,indices:r}=t,s=r.shape,i=s[s.length-1],[o,l,c,u]=_.prepareAndValidate(a,r),p=be({inputs:{x:r},backend:n,attrs:{shape:[l,i]}}),d=be({inputs:{x:a},backend:n,attrs:{shape:[k.sizeFromShape(a.shape)/c,c]}}),h=new X7(i,u,[l,c]),m=n.runWebGLProgram(h,[d,p],d.dtype),f=be({inputs:{x:m},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),f}var Z7={kernelName:jo,backendName:"webgl",kernelFunc:Y7},Q7=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=ft(this.rank),a=J7(e,2);this.userCode=`
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void main() {
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${n} resRC = getOutputCoords();
setOutput(getA(${a}));
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}
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`}};function J7(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let r=0;r<e.length;r++)r===2?a.push("int(getIndices(resRC.x, resRC.z))"):a.push(`${n[r]}`);return a.join()}function eZ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=a,l=k.parseAxisParam(i,r.shape)[0],c=_.segment_util.collectGatherOpShapeInfo(r,s,l,o),u=k.sizeFromShape(s.shape),p=[],d=be({inputs:{x:r},backend:n,attrs:{shape:[c.batchSize,c.outerSize,c.dimSize,c.sliceSize]}}),h=be({inputs:{x:s},backend:n,attrs:{shape:[c.batchSize,u/c.batchSize]}});p.push(d),p.push(h);let m=[c.batchSize,c.outerSize,u/c.batchSize,c.sliceSize];if(n.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let b=n.bufferSync(h),v=n.bufferSync(d),x=T8(v,b,m);return p.forEach(N=>n.disposeIntermediateTensorInfo(N)),n.makeTensorInfo(c.outputShape,x.dtype,x.values)}let f=new Q7(d.shape,m),g=n.runWebGLProgram(f,[d,h],d.dtype);p.push(g);let y=be({inputs:{x:g},backend:n,attrs:{shape:c.outputShape}});return p.forEach(b=>n.disposeIntermediateTensorInfo(b)),y}var tZ={kernelName:Ho,backendName:"webgl",kernelFunc:eZ},nZ="return float(a > b);",aZ=`
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return vec4(greaterThan(a, b));
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`,rZ=nn({opSnippet:nZ,packedOpSnippet:aZ,cpuKernelImpl:S8,dtype:"bool"}),sZ={kernelName:qo,backendName:"webgl",kernelFunc:rZ},iZ="return float(a >= b);",oZ=`
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return vec4(greaterThanEqual(a, b));
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`,lZ=nn({opSnippet:iZ,packedOpSnippet:oZ,dtype:"bool"}),uZ={kernelName:Ws,backendName:"webgl",kernelFunc:lZ};function cZ(e){let{inputs:t,backend:n}=e,{input:a}=t;return $S(a,!0,n)}var pZ={kernelName:Rd,backendName:"webgl",kernelFunc:cZ},dZ="return float(!isnan(x) && !isinf(x));",hZ=Ze({opSnippet:dZ,dtype:"bool"}),mZ={kernelName:Xo,backendName:"webgl",kernelFunc:hZ},fZ="return float(isinf(x));",gZ=Ze({opSnippet:fZ,dtype:"bool"}),yZ={kernelName:Yo,backendName:"webgl",kernelFunc:gZ},bZ="return float(isnan(x));",xZ=Ze({opSnippet:bZ,dtype:"bool"}),vZ={kernelName:Zo,backendName:"webgl",kernelFunc:xZ},wZ="return float(a < b);",kZ=`
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return vec4(lessThan(a, b));
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`,IZ=nn({opSnippet:wZ,packedOpSnippet:kZ,cpuKernelImpl:C8,dtype:"bool"}),NZ={kernelName:Jo,backendName:"webgl",kernelFunc:IZ},TZ="return float(a <= b);",SZ=`
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return vec4(lessThanEqual(a, b));
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`,CZ=nn({opSnippet:TZ,packedOpSnippet:SZ,dtype:"bool"}),_Z={kernelName:Qo,backendName:"webgl",kernelFunc:CZ};function EZ(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=_8(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var AZ={kernelName:Pd,backendName:"webgl",kernelFunc:EZ},FZ=`if (x < 0.0) return NAN;
return log(x);`,$Z=`
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vec4 result = log(x);
vec4 isNaN = vec4(lessThan(x, vec4(0.0)));
result.r = isNaN.r == 1.0 ? NAN : result.r;
result.g = isNaN.g == 1.0 ? NAN : result.g;
result.b = isNaN.b == 1.0 ? NAN : result.b;
result.a = isNaN.a == 1.0 ? NAN : result.a;
return result;
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`,DZ=Ze({opSnippet:FZ,packedOpSnippet:$Z,cpuKernelImpl:E8}),RZ={kernelName:Us,backendName:"webgl",kernelFunc:DZ},MZ="return log(1.0 + x);",PZ=Ze({opSnippet:MZ}),OZ={kernelName:el,backendName:"webgl",kernelFunc:PZ},LZ="return float(a >= 1.0 && b >= 1.0);",zZ=`
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return vec4(
vec4(greaterThanEqual(a, vec4(1.0))) *
vec4(greaterThanEqual(b, vec4(1.0))));
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`,BZ=nn({opSnippet:LZ,packedOpSnippet:zZ,dtype:"bool"}),WZ={kernelName:tl,backendName:"webgl",kernelFunc:BZ},VZ="return float(!(x >= 1.0));",UZ=Ze({opSnippet:VZ}),GZ={kernelName:fc,backendName:"webgl",kernelFunc:UZ},HZ="return float(a >= 1.0 || b >= 1.0);",jZ=`
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return min(
vec4(greaterThanEqual(a, vec4(1.0))) +
vec4(greaterThanEqual(b, vec4(1.0))),
vec4(1.0));
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`,qZ=nn({opSnippet:HZ,packedOpSnippet:jZ,dtype:"bool"}),KZ={kernelName:gc,backendName:"webgl",kernelFunc:qZ},XZ=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
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int d = coords[3];
float x = getX(b, r, c, d);
float sum = 0.0;
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for (int j = -${s}; j <= ${s}; j++) {
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int idx = d + j;
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if (idx >= 0 && idx <= ${i}) {
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float z = getX(b, r, c, idx);
sum += z * z;
}
}
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float val = x * ${o};
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setOutput(val);
}
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`}},YZ=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords.x;
int r = coords.y;
int c = coords.z;
int d = coords.w;
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bool hasNextCol = d < ${this.outputShape[3]};
bool hasNextRow = c < ${this.outputShape[2]};
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vec4 sum = vec4(0.);
vec4 xFragAtOutputCoords = getX(b, r, c, d);
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vec4 xAtOutputCoords = vec4(
getChannel(xFragAtOutputCoords, vec2(c, d)),
hasNextCol ?
getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,
hasNextRow ?
getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,
(hasNextRow && hasNextCol) ?
getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0
);
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int firstChannel = d - ${s};
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vec2 cache = vec2(0.);
if(firstChannel >= 0){
vec4 firstChannelFrag = getX(b, r, c, firstChannel);
cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));
if(hasNextRow){
cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));
}
}
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ivec2 depth = ivec2(d, d + 1);
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for (int j = - ${s}; j <= ${s}; j++) {
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ivec2 idx = depth + j;
bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));
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bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${i}));
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bool depthInRange = aboveLowerBound.x && belowUpperBound.x;
bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;
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if(depthInRange || depthPlusOneInRange){
vec4 z = vec4(0.);
vec4 xFragAtCurrentDepth;
z.xz = cache.xy;
if(depthPlusOneInRange && hasNextCol){
xFragAtCurrentDepth = idx.y != d ?
getX(b, r, c, idx.y) : xFragAtOutputCoords;
z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));
if(hasNextRow){
z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));
}
}
cache.xy = z.yw;
sum += z * z;
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}
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}
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vec4 result = xAtOutputCoords * ${o};
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setOutput(result);
}
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`}},ZZ=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a,c=ee().getBool("WEBGL_PACK_NORMALIZATION")?new YZ(r.shape,s,i,o,l):new XZ(r.shape,s,i,o,l);return n.runWebGLProgram(c,[r],r.dtype)},JZ={kernelName:yc,backendName:"webgl",kernelFunc:ZZ},QZ=class{constructor(e,t,n,a,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=a,this.beta=r,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
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float result = 0.0;
for (int d = 0; d < ${this.depth}; ++d) {
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int depthBegin = int(max(0.0, float(d - ${t})));
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int depthEnd = int(min(float(${this.depth}),
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float(d + ${t} + 1)));
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const int MIN_DEPTH_BEGIN = 0;
const int MAX_DEPTH_END = ${this.depth};
float norm = 0.0;
for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {
if (k < depthBegin){
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continue;
}
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else if (k >= depthBegin && k < depthEnd) {
norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);
}
else {
break;
}
}
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norm = float(${a}) * norm + float(${n});
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for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd){
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float dyi = -2.0 * float(${a})
* float(${r})
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* getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
/ norm;
if (k == d) {
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dyi += pow(norm, -1.0 * ${r});
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}
if (k == coords[3]) {
dyi *= getDy(b, r, c, d);
result += dyi;
}
}
else {
break;
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}
}
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}
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setOutput(result);
}
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`}},e9=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:c,beta:u}=a,p=new QZ(r.shape,o,l,c,u);return n.runWebGLProgram(p,[r,s,i],r.dtype)},t9={kernelName:Od,backendName:"webgl",kernelFunc:e9};function n9(e,t,n,a){let r=k.sizeFromShape(t),s=k.sizeFromShape(e.shape)/r,i=be({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=ji(i,e.dtype,"max",a),l=be({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}function RS(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=a,o=r.shape.length,l=k.parseAxisParam(s,r.shape),c=l,u=_.getAxesPermutation(c,o),p=u!=null,d=n.shouldExecuteOnCPU([r]),h=r;if(p){if(d){let b=n.texData.get(h.dataId).values,v=new Array(o);for(let T=0;T<v.length;T++)v[T]=r.shape[u[T]];let x=Ov(b,r.shape,r.dtype,u,v);h=n.makeTensorInfo(v,r.dtype);let N=n.texData.get(h.dataId);N.values=x}else h=Vm(r,u,n);c=_.getInnerMostAxes(c.length,o)}_.assertAxesAreInnerMostDims("max",c,o);let[m,f]=_.computeOutAndReduceShapes(h.shape,c),g=m;i&&(g=_.expandShapeToKeepDim(m,l));let y;if(d){let b=n.texData.get(h.dataId).values,v=A8(b,k.sizeFromShape(f),g,r.dtype);y=n.makeTensorInfo(g,r.dtype);let x=n.texData.get(y.dataId);x.values=v}else y=n9(h,f,g,n);return p&&n.disposeIntermediateTensorInfo(h),y}var a9={kernelName:Gs,backendName:"webgl",kernelFunc:RS},r9=ZT+`
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return max(a, b);
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`,s9=`
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vec4 result = vec4(max(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+Bm+`
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return result;
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`,i9=nn({opSnippet:r9,packedOpSnippet:s9,cpuKernelImpl:F8}),o9={kernelName:Hs,backendName:"webgl",kernelFunc:i9};function l9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;xp(r,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,c=1;k.assert(_.eitherStridesOrDilationsAreOne(i,c),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let u=_.computePool2DInfo(r.shape,s,i,c,o,l);if(u.filterWidth===1&&u.filterHeight===1&&k.arraysEqual(u.inShape,u.outShape))return Bn({inputs:{x:r},backend:n});let p=new kp(u,"max",!1);return n.runWebGLProgram(p,[r],r.dtype)}var u9={kernelName:js,backendName:"webgl",kernelFunc:l9};function c9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:c}=a,u=[1,1,1],p=_.computePool3DInfo(r.shape,s,i,u,o,c,l),d=new Bv(p,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var p9={kernelName:bc,backendName:"webgl",kernelFunc:c9},d9=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,a=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode=`
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const ivec2 pads = ivec2(${i}, ${o});
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
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ivec2 dyRCCorner = coords.yz - pads;
int dyRCorner = dyRCCorner.x;
int dyCCorner = dyRCCorner.y;
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// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int wR = 0; wR < ${r};
wR += ${a}) {
float dyR = float(dyRCorner + wR) / ${t}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
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continue;
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}
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int idyR = int(dyR);
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for (int wC = 0; wC < ${s}; wC++) {
float dyC = float(dyCCorner + wC) / ${n}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
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}
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int idyC = int(dyC);
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float dyValue = getDy(b, idyR, idyC, d);
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int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));
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// Get the current value, check it against the value from the
// position matrix.
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int curPosValue = wR * ${s} + wC;
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float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
dotProd += dyValue * mask;
}
}
setOutput(dotProd);
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}
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`}},h9=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,c=e.effectiveFilterWidth,u=o-1-e.padInfo.front,p=l-1-e.padInfo.top,d=c-1-e.padInfo.left,h=o*l*c-1;this.userCode=`
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const ivec3 pads = ivec3(${u}, ${p}, ${d});
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void main() {
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ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
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ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
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// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int wD = 0; wD < ${o};
wD += ${r}) {
float dyD = float(dyDCorner + wD) / ${t}.0;
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if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
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continue;
}
int idyD = int(dyD);
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for (int wR = 0; wR < ${l};
wR += ${s}) {
float dyR = float(dyRCorner + wR) / ${n}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
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fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
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for (int wC = 0; wC < ${c};
wC += ${i}) {
float dyC = float(dyCCorner + wC) / ${a}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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float dyValue = getDy(batch, idyD, idyR, idyC, ch);
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int maxPosValue = ${h} -
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int(getMaxPos(batch, idyD, idyR, idyC, ch));
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// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
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wD * ${l} * ${c} +
wR * ${c} + wC;
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float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
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dotProd += dyValue * mask;
}
}
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}
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setOutput(dotProd);
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}
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`}};function m9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:c,dimRoundingMode:u}=a,p=[1,1,1],d=_.computePool3DInfo(i.shape,o,l,p,c,u),h=new Bv(d,"max",!0),m=n.runWebGLProgram(h,[i],i.dtype),f=new h9(d),g=n.runWebGLProgram(f,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),g}var f9={kernelName:zd,backendName:"webgl",kernelFunc:m9};function g9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;xp([s,i],"maxPoolGrad");let{filterSize:l,strides:c,pad:u,dimRoundingMode:p}=a,d=_.computePool2DInfo(o.shape,l,c,1,u,p),h=!0,m=new kp(d,"max",h),f=n.runWebGLProgram(m,[o],o.dtype),g=new d9(d),y=n.runWebGLProgram(g,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),y}var y9={kernelName:Ld,backendName:"webgl",kernelFunc:g9};function b9(e,t,n,a){let r=new kp(n,"max",!1),s=a.runWebGLProgram(r,[e],"float32");r=new kp(n,"max",!0,!0,t);let i=a.runWebGLProgram(r,[e],"float32");return[s,i]}var x9={kernelName:Bd,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;k.assert(a.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.shape.length}.`);let c=[1,1];k.assert(_.eitherStridesOrDilationsAreOne(s,c),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${c}'`);let u=_.computePool2DInfo(a.shape,r,s,c,i),[p,d]=b9(a,o,u,l);return[p,d]}};function v9(e,t,n,a){let r=k.sizeFromShape(t),s=k.sizeFromShape(e.shape)/r,i=be({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=ji(i,"float32","mean",a),l=be({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}var w9={kernelName:qs,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{keepDims:r,axis:s}=t,i=n,o=a.shape.length,l=k.parseAxisParam(s,a.shape),c=l,u=_.getAxesPermutation(c,o),p=u!=null,d=i.shouldExecuteOnCPU([a]),h=[],m=a;if(p){if(d){let v=i.texData.get(m.dataId).values,x=new Array(o);for(let C=0;C<x.length;C++)x[C]=a.shape[u[C]];let N=Ov(v,a.shape,a.dtype,u,x);m=i.makeTensorInfo(x,a.dtype);let T=i.texData.get(m.dataId);T.values=N}else m=Vm(a,u,i);h.push(m),c=_.getInnerMostAxes(c.length,o)}_.assertAxesAreInnerMostDims("sum",c,o);let[f,g]=_.computeOutAndReduceShapes(m.shape,c),y=f;r&&(y=_.expandShapeToKeepDim(f,l));let b=v9(m,g,y,i);for(let v of h)i.disposeIntermediateTensorInfo(v);return b}};function k9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=k.parseAxisParam(s,r.shape),c=l,u=_.getAxesPermutation(c,o),p=r;u!=null&&(p=Tn({inputs:{x:r},backend:n,attrs:{perm:u}}),c=_.getInnerMostAxes(c.length,r.shape.length)),_.assertAxesAreInnerMostDims("min",c,o);let[d,h]=_.computeOutAndReduceShapes(p.shape,c),m=k.sizeFromShape(h),f=be({inputs:{x:p},backend:n,attrs:{shape:[-1,m]}}),g=ji(f,f.dtype,"min",n),y;if(i){let b=_.expandShapeToKeepDim(d,l);y=be({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=be({inputs:{x:g},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),u!=null&&n.disposeIntermediateTensorInfo(p),y}var I9={kernelName:Ks,backendName:"webgl",kernelFunc:k9},N9=ZT+`
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return min(a, b);
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`,T9=`
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vec4 result = vec4(min(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+Bm+`
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return result;
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`,S9=nn({opSnippet:N9,packedOpSnippet:T9,cpuKernelImpl:$8}),C9={kernelName:Xs,backendName:"webgl",kernelFunc:S9},_9=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((c,u)=>c[0]+e[u]+c[1]);let a=e.length,r=ft(a),s=t.map(c=>c[0]).join(","),i=t.map((c,u)=>c[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),l=n==="reflect"?0:1;if(a===1){this.userCode=`
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int start = ${s};
int end = ${i};
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void main() {
int outC = getOutputCoords();
if (outC < start) {
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outC = start * 2 - outC - ${l};
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} else if(outC >= end) {
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outC = (end - 1) * 2 - outC + ${l};
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}
setOutput(getX(outC - start));
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}
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`;return}this.userCode=`
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${r} start = ${r}(${s});
${r} end = ${r}(${i});
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void main() {
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${r} outC = getOutputCoords();
for (int i = 0; i < ${a}; i++) {
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if (outC[i] < start[i]) {
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outC[i] = start[i] * 2 - outC[i] - ${l};
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} else if(outC[i] >= end[i]) {
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outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};
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}
}
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${r} coords = outC - start;
setOutput(getX(${o}));
}
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`}},E9=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,m)=>h[0]+e[m]+h[1]);let a=e.length,r=ft(a),s=t.map(h=>h[0]).join(","),i=t.map((h,m)=>h[0]+e[m]).join(","),o=mn("rc",a),l=mn("source",a),c=`${o[a-1]} < ${this.outputShape[a-1]}`,u=a===1?"source":`vec2(${l.slice(-2).join()})`,p=n==="reflect"?0:1,d="";if(a===1){let h=`
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${r} source = rc;
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if (source < start) {
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source = start * 2 - source - ${p};
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} else if (source >= end) {
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source = (end - 1) * 2 - source + ${p};
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}
source -= start;
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`;d=`
${r} rc = outputLoc;
${h}
result[0] = getChannel(getX(${l.join()}), ${u});
${o[a-1]} += 1;
if(${c}) {
${h}
result[1] = getChannel(getX(${l.join()}), ${u});
}
`}else{let h=`
${r} source = rc;
${r} lt = ${r}(lessThan(source, start));
${r} gte = ${r}(greaterThanEqual(source, end));
${r} orig = 1 - (lt + gte);
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source = orig * source +
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lt * (start * 2 - source - ${p}) +
gte * ((end - 1) * 2 - source + ${p});
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source -= start;
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`;d=`
${r} rc = outputLoc;
${h}
result[0] = getChannel(getX(${l.join()}), ${u});
${o[a-1]} += 1;
if(${c}) {
${h}
result[1] = getChannel(getX(${l.join()}), ${u});
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}
rc = outputLoc;
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${o[a-2]} += 1;
if(${o[a-2]} < ${this.outputShape[a-2]}) {
${h}
result[2] = getChannel(getX(${l.join()}), ${u});
${o[a-1]} += 1;
if(${c}) {
${h}
result[3] = getChannel(getX(${l.join()}), ${u});
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}
}
`}this.userCode=`
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const ${r} start = ${r}(${s});
const ${r} end = ${r}(${i});
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void main() {
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${r} outputLoc = getOutputCoords();
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vec4 result = vec4(0.);
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${d}
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setOutput(result);
}
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`}},A9=({inputs:e,backend:t,attrs:n})=>{let{x:a}=e,{paddings:r,mode:s}=n,i=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new E9(a.shape,r,s):new _9(a.shape,r,s);return t.runWebGLProgram(i,[a],a.dtype)},F9={kernelName:xc,backendName:"webgl",kernelFunc:A9},$9=`if (b == 0.0) return NAN;
return mod(a, b);`,D9=`
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vec4 result = mod(a, b);
vec4 isNaN = vec4(equal(b, vec4(0.0)));
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`+Bm+`
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return result;
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`,R9=nn({opSnippet:$9,packedOpSnippet:D9}),M9={kernelName:nl,backendName:"webgl",kernelFunc:R9},P9=class{constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode=`
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uniform float seed;
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void main() {
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ivec2 coords = getOutputCoords();
int batch = coords[0];
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float r = random(seed);
float cdf = 0.0;
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for (int i = 0; i < ${t-1}; i++) {
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cdf += getProbs(batch, i);
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if (r < cdf) {
setOutput(float(i));
return;
}
}
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// If no other event happened, last event happened.
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setOutput(float(${t-1}));
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}
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`}getCustomSetupFunc(e){return(t,n)=>{this.seedLoc==null&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}},O9=`
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if (a == b) {
return 1.0;
};
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return a / b;`,L9=`
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// vec4 one = vec4(equal(a, b));
// return one + (vec4(1.0) - one) * a / b;
vec4 result = a / b;
if(a.x == b.x) {
result.x = 1.;
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}
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if(a.y == b.y) {
result.y = 1.;
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}
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if(a.z == b.z) {
result.z = 1.;
}
if(a.w == b.w) {
result.w = 1.;
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}
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return result;
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`,MS=nn({opSnippet:O9,packedOpSnippet:L9,checkOutOfBounds:!0}),z9={kernelName:Ps,backendName:"webgl",kernelFunc:MS},PS="return a - b;",OS=nn({opSnippet:PS,packedOpSnippet:PS,supportsComplex:!0,cpuKernelImpl:B8}),B9={kernelName:hi,backendName:"webgl",kernelFunc:OS};function LS(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=k.parseAxisParam([s],r.shape),o=RS({inputs:{x:r},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=_.expandShapeToKeepDim(o.shape,i),c=be({inputs:{x:o},backend:n,attrs:{shape:l}}),u=OS({inputs:{a:r,b:c},backend:n}),p=ES({inputs:{x:u},backend:n}),d=zv({inputs:{x:p},backend:n,attrs:{axis:i,keepDims:!1}}),h=be({inputs:{x:d},backend:n,attrs:{shape:l}}),m=MS({inputs:{a:p,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h),m}var W9={kernelName:pi,backendName:"webgl",kernelFunc:LS};function V9(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a,l=o?r:LS({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),c=l.shape[0],u=l.shape[1],p=new P9(c,u,s),d=p.getCustomSetupFunc(i),h=n.runWebGLProgram(p,[l],"int32",d);return o||n.disposeIntermediateTensorInfo(l),h}var U9={kernelName:Wd,backendName:"webgl",kernelFunc:V9},zS="return -x;";function G9(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])){let s=n.texData.get(a.dataId),[i,o]=R8(s.values,a.shape,a.dtype);return n.makeTensorInfo(o,a.dtype,i)}let r;return ee().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new du(a.shape,zS):r=new cs(a.shape,zS),n.runWebGLProgram(r,[a],a.dtype)}var H9={kernelName:al,backendName:"webgl",kernelFunc:G9},j9=Za.nonMaxSuppressionV3Impl;function q9(e){_.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=a,c=n.readSync(r.dataId),u=n.readSync(s.dataId),{selectedIndices:p}=j9(c,u,i,o,l);return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}var K9={kernelName:sl,backendName:"webgl",kernelFunc:q9},X9=Za.nonMaxSuppressionV4Impl;function Y9(e){_.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:c}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),{selectedIndices:d,validOutputs:h}=X9(u,p,i,o,l,c);return[n.makeTensorInfo([d.length],"int32",new Int32Array(d)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var Z9={kernelName:il,backendName:"webgl",kernelFunc:Y9},J9=Za.nonMaxSuppressionV5Impl;function Q9(e){_.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:c}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),d=i,h=o,m=l,f=c,{selectedIndices:g,selectedScores:y}=J9(u,p,d,h,m,f);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var eJ={kernelName:ol,backendName:"webgl",kernelFunc:Q9},tJ=class{constructor(e,t,n,a){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
int index = round(getIndices(coords.x));
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setOutput(mix(float(${a}), float(${n}),
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float(index == coords.y)));
}
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`}},nJ=e=>{let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{depth:s,onValue:i,offValue:o}=a,l=k.sizeFromShape(r.shape),c=new tJ(l,s,i,o),u=be({inputs:{x:r},backend:n,attrs:{shape:[l]}}),p=n.runWebGLProgram(c,[u],r.dtype);n.disposeIntermediateTensorInfo(u);let d=[...r.shape,s],h=be({inputs:{x:p},backend:n,attrs:{shape:d}});return n.disposeIntermediateTensorInfo(p),h},aJ={kernelName:Zs,backendName:"webgl",kernelFunc:nJ};function qm(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="complex64"){let r=Np({inputs:{input:a},backend:n}),s=qm({inputs:{x:r},backend:n}),i=jm({inputs:{input:a},backend:n}),o=qm({inputs:{x:i},backend:n}),l=ps({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return Gv({attrs:{shape:a.shape,dtype:a.dtype,value:a.dtype==="string"?"":0},backend:n})}var rJ={kernelName:Tl,backendName:"webgl",kernelFunc:qm};function BS(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(a.dtype==="complex64"){let r=Np({inputs:{input:a},backend:n}),s=BS({inputs:{x:r},backend:n}),i=jm({inputs:{input:a},backend:n}),o=qm({inputs:{x:i},backend:n}),l=ps({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return Gv({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:n})}var sJ={kernelName:ll,backendName:"webgl",kernelFunc:BS};function iJ(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return Uv({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(u=>{k.assertShapesMatch(s,u.shape,"All tensors passed to stack must have matching shapes"),k.assert(i===u.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(u=>{let p=Uv({inputs:{input:u},backend:n,attrs:{dim:r}});return o.push(p),p}),c=xS({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(u=>n.disposeIntermediateTensorInfo(u)),c}var oJ={kernelName:ul,backendName:"webgl",kernelFunc:iJ},lJ=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((l,c)=>l[0]+e[c]+l[1]);let a=e.length,r=ft(a),s=t.map(l=>l[0]).join(","),i=t.map((l,c)=>l[0]+e[c]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);if(a===1){this.userCode=`
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int start = ${s};
int end = ${i};
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void main() {
int outC = getOutputCoords();
if (outC < start || outC >= end) {
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setOutput(float(${n}));
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} else {
setOutput(getX(outC - start));
}
}
`;return}this.userCode=`
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${r} start = ${r}(${s});
${r} end = ${r}(${i});
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void main() {
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${r} outC = getOutputCoords();
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if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
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setOutput(float(${n}));
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} else {
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${r} coords = outC - start;
setOutput(getX(${o}));
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}
}
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`}},uJ=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((m,f)=>m[0]+e[f]+m[1]);let a=e.length,r=ft(a),s=t.map(m=>m[0]).join(","),i=t.map((m,f)=>m[0]+e[f]).join(","),o=mn("rc",a),l=mn("source",a),c=`${o[a-1]} < ${this.outputShape[a-1]}`,u=a===1?"source":`vec2(${l.slice(-2).join()})`,p=[`${r} rc = outputLoc;`,`${o[a-1]} += 1;
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if(${c}) {
`,a===1?"":`}
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rc = outputLoc;
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${o[a-2]} += 1;
if(${o[a-2]} < ${this.outputShape[a-2]}) {`,a===1?"":` ${o[a-1]} += 1;
if(${c}) {`],d=a===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="";for(let m=0,f=a===1?2:4;m<f;m++)h+=`
${p[m]}
if (${d}) {
result[${m}] = float(${n});
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} else {
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${r} source = rc - start;
result[${m}] = getChannel(getX(${l.join()}), ${u});
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}
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`;h+=a===1?"} ":"}}",this.userCode=`
const ${r} start = ${r}(${s});
const ${r} end = ${r}(${i});
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void main() {
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${r} outputLoc = getOutputCoords();
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vec4 result = vec4(0.);
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${h}
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setOutput(result);
}
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`}},WS=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a,o=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new uJ(r.shape,s,i):new lJ(r.shape,s,i);return n.runWebGLProgram(o,[r],r.dtype)},cJ={kernelName:Js,backendName:"webgl",kernelFunc:WS},pJ=`
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if(a < 0.0 && floor(b) < b){
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return NAN;
}
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if (b == 0.0) {
return 1.0;
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}
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return (round(mod(b, 2.0)) != 1) ?
pow(abs(a), b) : sign(a) * pow(abs(a), b);
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`,dJ=`
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// isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));
vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);
vec4 result = multiplier * pow(abs(a), b);
// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
bvec4 isExpZero = equal(b, vec4(0.0));
result.r = isExpZero.r ? 1.0 : result.r;
result.g = isExpZero.g ? 1.0 : result.g;
result.b = isExpZero.b ? 1.0 : result.b;
result.a = isExpZero.a ? 1.0 : result.a;
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vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));
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`+Bm+`
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return result;
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`,hJ=nn({opSnippet:pJ,packedOpSnippet:dJ}),mJ={kernelName:Qs,backendName:"webgl",kernelFunc:hJ};function fJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=[],c=k.parseAxisParam(s,r.shape),u=c,p=_.getAxesPermutation(u,o),d=r;p!=null&&(d=Tn({inputs:{x:r},backend:n,attrs:{perm:p}}),u=_.getInnerMostAxes(u.length,o),l.push(d)),_.assertAxesAreInnerMostDims("prod",u,o);let h;if(n.shouldExecuteOnCPU([d])){let m=n.texData.get(d.dataId).values,{outVals:f,outShape:g,outDtype:y}=M8(d.shape,d.dtype,m,u);h=n.makeTensorInfo(g,y,f)}else{let[m,f]=_.computeOutAndReduceShapes(d.shape,u),g=k.sizeFromShape(f),y=be({inputs:{x:d},backend:n,attrs:{shape:[-1,g]}}),b=Qd(r.dtype),v=ji(y,b,"prod",n);h=be({inputs:{x:v},backend:n,attrs:{shape:m}}),l.push(y),l.push(v)}if(i){l.push(h);let m=_.expandShapeToKeepDim(h.shape,c);h=be({inputs:{x:h},backend:n,attrs:{shape:m}})}return l.forEach(m=>n.disposeIntermediateTensorInfo(m)),h}var gJ={kernelName:cl,backendName:"webgl",kernelFunc:fJ},VS=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=P8(a,r,s,i);return t.makeTensorInfo([o.length],i,o)},yJ={kernelName:vc,backendName:"webgl",kernelFunc:VS},bJ="return 1.0 / x;",xJ=Ze({opSnippet:bJ}),vJ={kernelName:pl,backendName:"webgl",kernelFunc:xJ},wJ=Ra+`
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return (x < 0.0) ? 0.0 : x;
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`,kJ=`
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vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
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`,IJ=Ze({opSnippet:wJ,packedOpSnippet:kJ}),NJ={kernelName:ti,backendName:"webgl",kernelFunc:IJ},TJ=Ra+`
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return (x < 0.0) ? 0.0 : min(6.0, x);
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`,SJ=`
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vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
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`,CJ=Ze({opSnippet:TJ,packedOpSnippet:SJ}),_J={kernelName:ai,backendName:"webgl",kernelFunc:CJ},EJ=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[a&&t>1?i-1:i,a&&n>1?o-1:o],u=[a&&t>1?t-1:t,a&&n>1?n-1:n],p;r?p="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":p="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
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const vec2 effectiveInputOverOutputRatioRC = vec2(
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${c[0]/u[0]},
${c[1]/u[1]});
const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
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// Fractional source index.
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vec2 sourceFracIndexRC = ${p};
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// Compute the four integer indices.
ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));
ivec2 sourceCeilRC = ivec2(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);
float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);
float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);
float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);
vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);
float top = topLeft + (topRight - topLeft) * fracRC.y;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;
float newValue = top + (bottom - top) * fracRC.x;
setOutput(newValue);
}
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`}},AJ=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[a&&t>1?i-1:i,a&&n>1?o-1:o],u=[a&&t>1?t-1:t,a&&n>1?n-1:n],p;r?p="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":p="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
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const vec3 effectiveInputOverOutputRatioRC = vec3(
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${c[0]/u[0]},
${c[1]/u[1]},
${c[1]/u[1]});
const vec3 inputShapeRC = vec3(${i}.0, ${o}.0,
${o}.0);
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float getAValue(int b, int r, int c, int d) {
return getChannel(getA(b, r, c, d), vec2(c, d));
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}
void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
// Calculate values for next column in yRC.z.
ivec3 yRC = coords.yzz + ivec3(0, 0, 1);
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// Fractional source index.
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vec3 sourceFracIndexRC = ${p};
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// Compute the four integer indices.
ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));
ivec3 sourceCeilRC = ivec3(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
// Should we calculate next column and row elements in 2x2 packed cell.
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bool hasNextCol = d < ${l-1};
bool hasNextRow = coords.z < ${n-1};
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// In parallel, construct four corners for all four components in
// packed 2x2 cell.
vec4 topLeft = vec4(
getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),
hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);
vec4 bottomLeft = vec4(
getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),
hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);
vec4 topRight = vec4(
getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),
hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);
vec4 bottomRight = vec4(
getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),
hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);
vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);
vec4 top = mix(topLeft, topRight, fracRC.yyzz);
vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);
vec4 newValue = mix(top, bottom, fracRC.x);
setOutput(newValue);
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}
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`}};function FJ(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,c]=o,u=ee().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new AJ(r.shape,l,c,s,i):new EJ(r.shape,l,c,s,i);return n.runWebGLProgram(u,[r],"float32")}var $J={kernelName:ni,backendName:"webgl",kernelFunc:FJ},DJ=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],c=o[0]/l[0],u=o[1]/l[1],p=1/c,d=1/u,h=Math.ceil(p)*2+2,m=Math.ceil(d)*2+2;this.userCode=`
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void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
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float accumulator = 0.0;
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const float heightScale = float(${c});
const float widthScale = float(${u});
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const float invHeightScale = float(${p});
const float invWidthScale = float(${d});
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const int winHeight = int(${h});
const int winWidth = int(${m});
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// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(startRLerp - float(winHeight / 2));
float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(startCLerp - float(winWidth / 2));
// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
// Guard against the window exceeding the bounds of dy
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if (dyR < 0 || dyR >= ${s}) {
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continue;
}
for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
int dyC = dyCOffset + startDyC;
// Guard against the window exceeding the bounds of dy
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if (dyC < 0 || dyC >= ${i}) {
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continue;
}
float dxR = float(dyR) * heightScale;
int topDxRIndex = int(floor(dxR));
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int bottomDxRIndex = int(min(ceil(dxR), ${a-1}.0));
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float dxRLerp = dxR - float(topDxRIndex);
float inverseDxRLerp = 1.0 - dxRLerp;
float dxC = float(dyC) * widthScale;
int leftDxCIndex = int(floor(dxC));
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int rightDxCIndex = int(min(ceil(dxC), ${r-1}.0));
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float dxCLerp = dxC - float(leftDxCIndex);
float inverseDxCLerp = 1.0 - dxCLerp;
if (r == topDxRIndex && c == leftDxCIndex) {
// topLeft
accumulator +=
getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;
}
if (r == topDxRIndex && c == rightDxCIndex) {
// topRight
accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;
}
if (r == bottomDxRIndex && c == leftDxCIndex) {
// bottomLeft
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;
}
if (r == bottomDxRIndex && c == rightDxCIndex) {
// bottomRight
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;
}
}
}
// End loop over dy
setOutput(accumulator);
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}
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`}};function RJ(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new DJ(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var MJ={kernelName:Gd,backendName:"webgl",kernelFunc:RJ},PJ=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[a&&t>1?i-1:i,a&&n>1?o-1:o],u=[a&&t>1?t-1:t,a&&n>1?n-1:n],p=a?"0.5":"0.0",d;r?d="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
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const vec2 effectiveInputOverOutputRatioRC = vec2(
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${c[0]/u[0]},
${c[1]/u[1]});
const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);
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void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
// Fractional source index.
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vec2 sourceFracIndexRC = ${d};
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// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2(
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min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${p})));
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float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);
setOutput(newValue);
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}
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`}};function OJ(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,c]=o,u=new PJ(r.shape,l,c,s,i);return n.runWebGLProgram(u,[r],r.dtype)}var LJ={kernelName:wc,backendName:"webgl",kernelFunc:OJ},zJ=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],c=o[0]/l[0],u=o[1]/l[1],p=1/c,d=1/u,h=Math.ceil(p)*2+2,m=Math.ceil(d)*2+2;this.userCode=`
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void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
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float accumulator = 0.0;
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const float heightScale = float(${c});
const float widthScale = float(${u});
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const float invHeightScale = float(${p});
const float invWidthScale = float(${d});
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const int winHeight = int(${h});
const int winWidth = int(${m});
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// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(floor(startRLerp - float(winHeight / 2)));
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float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(floor(startCLerp - float(winWidth / 2)));
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// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
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// Guard against the window exceeding the bounds of dy
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if (dyR < 0 || dyR >= ${s}) {
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continue;
}
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for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
int dyC = dyCOffset + startDyC;
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// Guard against the window exceeding the bounds of dy
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if (dyC < 0 || dyC >= ${i}) {
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continue;
}
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float sourceFracRow =
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float(${o[0]}) *
(float(dyR) / float(${l[0]}));
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float sourceFracCol =
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float(${o[1]}) *
(float(dyC) / float(${l[1]}));
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int sourceNearestRow = int(min(
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float(int(${a}) - 1),
${n} ? float(round(sourceFracRow)) :
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float(floor(sourceFracRow))));
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int sourceNearestCol = int(min(
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float(int(${r}) - 1),
${n} ? float(round(sourceFracCol)) :
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float(floor(sourceFracCol))));
if (r == sourceNearestRow && c == sourceNearestCol) {
accumulator += getDy(b, dyR, dyC, d);
}
}
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}
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// End loop over dy
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setOutput(accumulator);
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}
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`}};function BJ(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new zJ(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var WJ={kernelName:Ud,backendName:"webgl",kernelFunc:BJ},VJ=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=`
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void main() {
int coord = getOutputCoords();
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setOutput(getX(${e[0]} - coord - 1));
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}
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`;return}let a=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,r=e.map((i,o)=>a(o)).join(","),s=ft(n);this.userCode=`
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void main() {
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${s} coords = getOutputCoords();
setOutput(getX(${r}));
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}
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`}},UJ=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;let a=mn("rc",n),r=`${a[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${a[n-2]} + 1 < ${this.outputShape[n-2]}`,i=ft(n);n===1?this.userCode=`
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void main(){
int rc = getOutputCoords();
vec4 result = vec4(0.);
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result.r = getChannel(getX(${e[0]} - rc - 1),
${e[0]} - rc - 1);
if(${r}){
result.g = getChannel(getX(${e[0]} - (rc + 1) - 1),
${e[0]} - (rc + 1) - 1);
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}
setOutput(result);
}
`:this.userCode=`
void main() {
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${i} rc = getOutputCoords();
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vec4 result = vec4(0.);
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result.r = ${o(a.slice())};
if(${r}){
result.g = ${l(a.slice())};
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}
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if(${s}) {
result.b = ${c(a.slice())};
if(${r}) {
result.a = ${u(a.slice())};
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}
}
setOutput(result);
}
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`;function o(h){return p(h)}function l(h){return h[n-1]="("+h[n-1]+" + 1)",p(h)}function c(h){return h[n-2]="("+h[n-2]+" + 1)",p(h)}function u(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",p(h)}function p(h){let m=e.map((y,b)=>d(b,h)),f=m.join(","),g=m.slice(-2).join(",");return`getChannel(getX(${f}), vec2(${g}))`}function d(h,m){return t.indexOf(h)!==-1&&e[h]!==1?`${e[h]} - ${m[h]} - 1`:`${m[h]}`}}};function GJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=r.shape.length,o=k.parseAxisParam(s,r.shape);if(i===0)return Bn({inputs:{x:r},backend:n});let l=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new UJ(r.shape,o):new VJ(r.shape,o);return n.runWebGLProgram(l,[r],r.dtype)}var HJ={kernelName:ri,backendName:"webgl",kernelFunc:GJ},jJ=class{constructor(e,t,n,a){this.variableNames=["Image"],this.outputShape=[];let r=e[1],s=e[2],i=Math.sin(t).toFixed(3),o=Math.cos(t).toFixed(3);this.outputShape=e;let[l,c]=_.getImageCenter(a,r,s),u=l.toFixed(3),p=c.toFixed(3),d="";typeof n=="number"?d=`float outputValue = ${n.toFixed(2)};`:d=`
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vec3 fill = vec3(${n.join(",")});
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float outputValue = fill[coords[3]];`,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
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int y = coords[1];
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float coordXFloat = (float(x) - ${u}) * ${o} - (float(y) - ${p}) * ${i};
float coordYFloat = (float(x) - ${u}) * ${i} + (float(y) - ${p}) * ${o};
int coordX = int(round(coordXFloat + ${u}));
int coordY = int(round(coordYFloat + ${p}));
${d}
if(coordX >= 0 && coordX < ${s} && coordY >= 0 && coordY < ${r}) {
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outputValue = getImage(coords[0], coordY, coordX, coords[3]);
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}
setOutput(outputValue);
}
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`}},qJ={kernelName:Sl,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=new jJ(a.shape,r,s,i);return o.runWebGLProgram(l,[a],a.dtype)}},KJ=`
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// OpenGL ES does not support round function.
// The algorithm is based on banker's rounding.
float base = floor(x);
if ((x - base) < 0.5) {
return floor(x);
} else if ((x - base) > 0.5) {
return ceil(x);
} else {
if (mod(base, 2.0) == 0.0) {
return base;
} else {
return base + 1.0;
}
}
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`,XJ=Ze({opSnippet:KJ}),YJ={kernelName:si,backendName:"webgl",kernelFunc:XJ},ZJ="return inversesqrt(x);",JJ=Ze({opSnippet:ZJ,cpuKernelImpl:O8}),QJ={kernelName:ii,backendName:"webgl",kernelFunc:JJ},US=class{constructor(e,t,n,a,r,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=ft(r.length),l=ft(s.length),c="";n===1?c="i":n===2&&(c="i, j");let u=`getIndices(${c})`,p="";a===1?p="i":a===2&&(p="i, coords[1]");let d=`getUpdates(${p})`,h=t>1?"strides[j]":"strides";this.userCode=`
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${o} strides = ${o}(${r});
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void main() {
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${l} coords = getOutputCoords();
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float sum = 0.0;
bool found = false;
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for (int i = 0; i < ${e}; i++) {
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int flattenedIndex = 0;
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for (int j = 0; j < ${t}; j++) {
int index = round(${u});
flattenedIndex += index * ${h};
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}
if (flattenedIndex == coords[0]) {
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sum += ${d};
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found = true;
}
}
setOutput(mix(getDefaultValue(), sum, float(found)));
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}
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`}};function eQ(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:c,strides:u,outputSize:p}=_.calculateShapes(s,r,i),d=[p/c,c];if(p===0)return n.makeTensorInfo(i,r.dtype);let h=be({inputs:{x:r},backend:n,attrs:{shape:[l,o]}}),m=be({inputs:{x:s},backend:n,attrs:{shape:[l,c]}}),f=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new US(l,o,h.shape.length,m.shape.length,u,d),y=n.runWebGLProgram(g,[m,h,f],m.dtype),b=be({inputs:{x:y},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(f),b}var tQ={kernelName:hl,backendName:"webgl",kernelFunc:eQ},nQ=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let a,r;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)r="resRC",a="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let c=0;c<t.length;c++)l.push(`${i[c]}`),c<e&&o.push(`${i[c]}`);a=o.join(),r=l.join()}let s=ft(n);this.userCode=`
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void main() {
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${s} resRC = getOutputCoords();
float cVal = getC(${a});
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if (cVal >= 1.0) {
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setOutput(getA(${r}));
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} else {
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setOutput(getB(${r}));
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}
}
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`}};function aQ(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=new nQ(a.shape.length,r.shape,r.shape.length);return n.runWebGLProgram(i,[a,r,s],la(r.dtype,s.dtype))}var rQ={kernelName:ml,backendName:"webgl",kernelFunc:aQ},sQ=`
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// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
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float scaleAlpha = ${_.SELU_SCALEALPHA};
float scale = ${_.SELU_SCALE};
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return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
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`,iQ=Ze({opSnippet:sQ}),oQ={kernelName:fl,backendName:"webgl",kernelFunc:iQ},lQ="return 1.0 / (1.0 + exp(-1.0 * x));",uQ=Ze({opSnippet:lQ}),cQ={kernelName:li,backendName:"webgl",kernelFunc:uQ},pQ=`
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if (isnan(x)) { return 0.0; }
return sign(x);
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`,dQ=Ze({opSnippet:pQ}),hQ={kernelName:bl,backendName:"webgl",kernelFunc:dQ},mQ=nS+`
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return sin(x);
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`,fQ=Ze({opSnippet:mQ}),gQ={kernelName:oi,backendName:"webgl",kernelFunc:fQ},yQ=`
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float e2x = exp(x);
return (e2x - 1.0 / e2x) / 2.0;
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`,bQ=Ze({opSnippet:yQ}),xQ={kernelName:yl,backendName:"webgl",kernelFunc:bQ},vQ=`
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float epsilon = 1.1920928955078125e-7;
float threshold = log(epsilon) + 2.0;
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bool too_large = x > -threshold;
bool too_small = x < threshold;
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float result;
float exp_x = exp(x);
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if (too_large){
result = x;
}
else if (too_small){
result = exp_x;
}
else{
result = log(exp_x + 1.0);
}
return result;
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`,wQ=Ze({opSnippet:vQ}),kQ={kernelName:xl,backendName:"webgl",kernelFunc:wQ},IQ=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a;k.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,b)=>y*b),l=[[0,0]];l.push(...i);for(let y=1+s.length;y<r.shape.length;++y)l.push([0,0]);let c=[],u=WS({inputs:{x:r},backend:n,attrs:{paddings:l,constantValue:0}}),p=_.getReshaped(u.shape,s,o,!1),d=_.getPermuted(p.length,s.length,!1),h=_.getReshapedPermuted(u.shape,s,o,!1),m=be({inputs:{x:u},backend:n,attrs:{shape:p}}),f=Tn({inputs:{x:m},backend:n,attrs:{perm:d}}),g=be({inputs:{x:f},backend:n,attrs:{shape:h}});return c.push(u),c.push(m),c.push(f),c.forEach(y=>n.disposeIntermediateTensorInfo(y)),g},NQ={kernelName:kc,backendName:"webgl",kernelFunc:IQ};function TQ(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:c,strides:u,outputSize:p}=_.calculateShapes(s,r,o),d=!1,h=new US(c,l,r.shape.length,s.shape.length,u,[p,1],d),m=n.runWebGLProgram(h,[s,r,i],s.dtype),f=be({inputs:{x:m},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(m),f}var SQ={kernelName:Hd,backendName:"webgl",kernelFunc:TQ};function CQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=k.parseAxisParam(i,r.shape)[0],l=_.prepareSplitSize(r,s,o),c=r.shape.length,u=new Array(c).fill(0),p=r.shape.slice();return l.map(d=>{let h=[...p];h[o]=d;let m=Ip({inputs:{x:r},backend:n,attrs:{begin:u,size:h}});return u[o]+=d,m})}var _Q={kernelName:vl,backendName:"webgl",kernelFunc:CQ},EQ="return sqrt(x);",AQ=Ze({opSnippet:EQ}),FQ={kernelName:ui,backendName:"webgl",kernelFunc:AQ},$Q="return x * x;",DQ=Ze({opSnippet:$Q}),RQ={kernelName:Ic,backendName:"webgl",kernelFunc:DQ},GS="return (a - b) * (a - b);",MQ=nn({opSnippet:GS,packedOpSnippet:GS}),PQ={kernelName:di,backendName:"webgl",kernelFunc:MQ};function OQ({inputs:e,attrs:t,backend:n}){let{x:a}=e,r=Ra+`
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return x > 0.0 ? 1.0 : float(${t.alpha});
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`,s=new cs(a.shape,r);return n.runWebGLProgram(s,[a],a.dtype)}var LQ={kernelName:Wr,backendName:"webgl",kernelFunc:OQ},zQ=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let a=n.length,r=ft(n.length),s=ft(n.length),i="";if(a===1)i="coords * strides + begin";else{let o=0;i=n.map((l,c)=>(o++,n.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${o-1}] * strides[${c}] + begin[${c}]`)).join(",")}this.userCode=`
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${r} begin = ${r}(${e});
${r} strides = ${r}(${t});
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void main() {
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${s} coords = getOutputCoords();
setOutput(getX(${i}));
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}
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`}};function BQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:c,ellipsisMask:u,newAxisMask:p,shrinkAxisMask:d}=a,{nonStrided:h,$begin:m,$strides:f,size:g,newShape:y,outShape:b}=cn.sliceInfo(r.shape,s,i,o,l,c,u,p,d),v=be({inputs:{x:r},backend:n,attrs:{shape:y}}),x;if(h){let T=Ip({inputs:{x:v},backend:n,attrs:{begin:m,size:g}});x=be({inputs:{x:T},backend:n,attrs:{shape:b}}),n.disposeIntermediateTensorInfo(T)}else if(b.some(T=>T===0))x=n.makeTensorInfo(b,r.dtype,[]);else if(n.shouldExecuteOnCPU([v])){let T=n.texData.get(v.dataId).values,C=Le(v.shape,v.dtype,T),$=z8(b,C,f,m);x=n.makeTensorInfo(b,v.dtype,$.values)}else{let T=new zQ(m,f,b);x=n.runWebGLProgram(T,[v],v.dtype)}let N=be({inputs:{x},backend:n,attrs:{shape:b}});return n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(x),N}var WQ={kernelName:wl,backendName:"webgl",kernelFunc:BQ},VQ="return tan(x);",UQ=Ze({opSnippet:VQ}),GQ={kernelName:kl,backendName:"webgl",kernelFunc:UQ},HQ=`
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float e2x = exp(-2.0 * abs(x));
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
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`,jQ=Ze({opSnippet:HQ}),qQ={kernelName:mi,backendName:"webgl",kernelFunc:jQ},XQ=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[s]*t[s];this.outputShape=n,this.rank=n.length;let a=ft(this.rank),r=KQ(e);this.userCode=`
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void main() {
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${a} resRC = getOutputCoords();
setOutput(getA(${r}));
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}
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`}};function KQ(e){let t=e.length;if(t>5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],a=[];for(let r=0;r<e.length;r++)a.push(`imod(${n[r]}, ${e[r]})`);return a.join()}function HS(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reps:s}=a;if(r.dtype==="string"){let o=n.readSync(r.dataId).map(u=>k.decodeString(u)),l=Le(r.shape,r.dtype,o),c=W8(l,s);return n.makeTensorInfo(c.shape,c.dtype,c.values)}let i=new XQ(r.shape,s);return n.runWebGLProgram(i,[r],r.dtype)}var YQ={kernelName:Br,backendName:"webgl",kernelFunc:HS};function ZQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{k:s,sorted:i}=a,o=n.readSync(r.dataId),[l,c]=V8(o,r.shape,r.dtype,s,i);return[n.makeTensorInfo(l.shape,l.dtype,l.values),n.makeTensorInfo(c.shape,c.dtype,c.values)]}var JQ={kernelName:Il,backendName:"webgl",kernelFunc:ZQ};function QQ(e){let{inputs:t,attrs:n,backend:a}=e,{axis:r}=n,{x:s}=t;xp(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=a.readSync(s.dataId),{outputValues:o,outputShape:l,indices:c}=U8(i,r,s.shape,s.dtype);return[a.makeTensorInfo(l,s.dtype,o),a.makeTensorInfo([c.length],"int32",c)]}var eee={kernelName:jd,backendName:"webgl",kernelFunc:QQ};function tee(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],c=new Array(o-1),u=0;for(let f=0;f<o;f++)f!==s&&(c[u++]=i.shape[f]);let p=[],d=new Array(o).fill(0),h=i.shape.slice();h[s]=1;let m=new Array(l);for(let f=0;f<m.length;f++){d[s]=f;let g=Ip({inputs:{x:i},backend:n,attrs:{begin:d,size:h}}),y=be({inputs:{x:g},backend:n,attrs:{shape:c}});m[f]=y,p.push(g)}return p.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var nee={kernelName:Nl,backendName:"webgl",kernelFunc:tee},aee=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,a=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/n);this.outputShape=[a,i];let o="0.0",l="sumValue",c=Math.floor(n/4)*4,u=n%4,p=`
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sumValue += dot(values, segFilter);
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`,d="";r%n>0&&(d=`
if (inIdx < 0 || inIdx >= ${r}) {
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return initializationValue;
}
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`);let h="";r%n>0&&(h=`
if (inIdx < 0 || inIdx >= ${r}) {
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return -1.0;
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}
`),this.userCode=`
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const float initializationValue = ${o};
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float getValue(int batch, int inIdx) {
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${d}
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return getX(batch, inIdx);
}
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float getSegmentIdAtIndex(int inIdx) {
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${h}
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return getSegmentIds(inIdx);
}
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
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int inOffset = int(floor(float(outIdx) / float(
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${s})) * float(${n}));
int currentSeg = int(mod(float(outIdx), float(${s})));
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float sumValue = 0.0;
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for (int i = 0; i < ${c}; i += 4) {
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int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0
);
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${p}
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}
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int inIdx = inOffset + ${c};
if (${u===1}) {
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vec4 values = vec4(
getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
int inIdxSeg = int(getSegmentIdAtIndex(inIdx));
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
0,
0,
0
);
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${p}
} else if (${u===2}) {
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vec4 values = vec4(
getValue(batch, inIdx),
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getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
0,
0
);
2020-10-29 05:16:50 +01:00
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${p}
} else if (${u===3}) {
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vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
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getValue(batch, inIdx + 2),
initializationValue
);
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vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
0
);
2020-10-29 05:16:50 +01:00
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${p}
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}
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setOutput(${l});
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}
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`}};function ree(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,segmentIds:s}=t,{numSegments:i}=a,o=r.shape.length,l=[],c=0,u=_.getAxesPermutation([c],o),p=r;u!=null&&(p=Tn({inputs:{x:r},backend:n,attrs:{perm:u}}),l.push(p),c=_.getInnerMostAxes(1,o)[0]);let d=_.segment_util.computeOutShape(p.shape,c,i),h=k.sizeFromShape([p.shape[c]]),m=be({inputs:{x:p},backend:n,attrs:{shape:[-1,h]}});l.push(m);let f=Qd(r.dtype),g=(x,N,T,C,$)=>{let F=x.shape[0],O=x.shape[1],B=_.segment_util.segOpComputeOptimalWindowSize(O,$),W={windowSize:B,inSize:O,batchSize:F,numSegments:$},G=new aee(W,N),q=n.compileAndRun(G,[x,T],C);if(l.push(q),q.shape[1]===$)return q;let H=VS({backend:n,attrs:{start:0,stop:$,step:1,dtype:"float32"}}),K=HS({inputs:{x:H},backend:n,attrs:{reps:[O/B]}});return l.push(H),l.push(K),g(q,N,K,C,$)},y=g(m,"unsortedSegmentSum",s,f,i),b=be({inputs:{x:y},backend:n,attrs:{shape:d}}),v=b;if(u!=null){l.push(b);let x=_.getUndoAxesPermutation(u);v=Tn({inputs:{x:v},backend:n,attrs:{perm:x}})}return l.forEach(x=>n.disposeIntermediateTensorInfo(x)),v}var see={kernelName:Nc,backendName:"webgl",kernelFunc:ree},iee=[JZ,t9,BK,VK,HK,KK,YK,QK,tX,aX,oX,uX,dX,fX,kX,bX,TX,EX,CX,DX,MX,OX,WX,KX,YX,nY,rY,lY,pY,wK,fY,TY,CY,xY,FY,DY,EY,PY,zY,VY,GY,jY,XY,t7,a7,ZY,i7,u7,h7,y7,w7,N7,T7,S7,_7,A7,$7,R7,P7,B7,G7,j7,K7,Z7,tZ,sZ,uZ,vK,pZ,mY,mZ,yZ,vZ,IK,NZ,_Z,AZ,OZ,RZ,WZ,GZ,KZ,a9,p9,u9,f9,y9,x9,o9,w9,I9,C9,F9,M9,U9,_K,H9,K9,Z9,eJ,JX,aJ,sJ,oJ,cJ,mJ,TK,gJ,yJ,QX,z9,vJ,_J,NJ,AK,$J,MJ,LJ,WJ,HJ,qJ,YJ,QJ,tQ,rQ,oQ,cQ,hQ,gQ,xQ,jX,W9,kQ,NQ,SQ,_Q,FQ,RQ,PQ,LQ,WQ,B9,OK,GQ,qQ,YQ,JQ,LK,eee,nee,see,rJ];for(let e of iee)Sc(e);var oee="3.0.0",lee={"tfjs-core":X0,"tfjs-backend-cpu":LU,"tfjs-backend-webgl":xK,"tfjs-data":wN,"tfjs-layers":mm,"tfjs-converter":fN,tfjs:oee},Wn;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(Wn||(Wn={}));var Tp;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu"})(Tp||(Tp={}));var jS;function uee(e){jS=e.wasm.cwrap(gi,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function cee(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:c,activation:u,leakyreluAlpha:p}=a,d=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let $=n.dataIdMap.get(i.dataId);if($.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${$.shape.length}.`);m=$.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=Tp[u];if(g==null)throw new Error(`${u} activation not yet supported for FusedConv2D in the wasm backend.`);let y=l?r.shape[2]:r.shape[1],b=c?s.shape[1]:s.shape[2],v=r.shape[0],x=n.makeOutput([v,y,b],r.dtype),N=n.dataIdMap.get(x.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return jS(d,T,r.shape.length,h,C,s.shape.length,l,c,g,m,f,p||0,N),x}var pee={kernelName:gi,backendName:"wasm",setupFunc:uee,kernelFunc:cee};function Vn(e){let t;function n(r){t=r.wasm.cwrap(e,null,["number","number"])}function a(r){let{backend:s,inputs:{x:i}}=r,o=s.dataIdMap.get(i.dataId).id,l=s.makeOutput(i.shape,i.dtype),c=s.dataIdMap.get(l.dataId).id;return k.sizeFromShape(l.shape)===0||t(o,c),l}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:a}}var dee=Vn(So);function fn(e,t,n){let a;function r(i){a=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:c,b:u}=l,p=o.dataIdMap.get(c.dataId).id,d=o.dataIdMap.get(u.dataId).id,h=n!=null?n:c.dtype,m=_.assertAndGetBroadcastShape(c.shape,u.shape),f=o.makeOutput(m,h);if(k.sizeFromShape(m)===0)return f;let g=new Uint8Array(new Int32Array(c.shape).buffer),y=new Uint8Array(new Int32Array(u.shape).buffer),b=o.dataIdMap.get(f.dataId).id,v=()=>a(p,g,c.
2020-10-12 20:28:19 +02:00
/**
* @license
* Copyright 2017 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google Inc. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the License);
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
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/**
* @license
* Copyright 2021 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
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/** @license See the LICENSE file. */
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