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/*!
* ONNX Runtime Web v1.20.1
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT License.
*/
var wc=Object.create;var br=Object.defineProperty;var vc=Object.getOwnPropertyDescriptor;var Ic=Object.getOwnPropertyNames;var _c=Object.getPrototypeOf,Sc=Object.prototype.hasOwnProperty;var kn=(i=>typeof require<"u"?require:typeof Proxy<"u"?new Proxy(i,{get:(e,o)=>(typeof require<"u"?require:e)[o]}):i)(function(i){if(typeof require<"u")return require.apply(this,arguments);throw Error('Dynamic require of "'+i+'" is not supported')});var x=(i,e)=>()=>(i&&(e=i(i=0)),e);var tt=(i,e)=>()=>(e||i((e={exports:{}}).exports,e),e.exports),yr=(i,e)=>{for(var o in e)br(i,o,{get:e[o],enumerable:!0})},ni=(i,e,o,t)=>{if(e&&typeof e=="object"||typeof e=="function")for(let r of Ic(e))!Sc.call(i,r)&&r!==o&&br(i,r,{get:()=>e[r],enumerable:!(t=vc(e,r))||t.enumerable});return i};var Oe=(i,e,o)=>(o=i!=null?wc(_c(i)):{},ni(e||!i||!i.__esModule?br(o,"default",{value:i,enumerable:!0}):o,i)),Bn=i=>ni(br({},"__esModule",{value:!0}),i);var gr,ie,Ae,Oc,xr,Tr=x(()=>{"use strict";gr=new Map,ie=[],Ae=(i,e,o)=>{if(e&&typeof e.init=="function"&&typeof e.createInferenceSessionHandler=="function"){let t=gr.get(i);if(t===void 0)gr.set(i,{backend:e,priority:o});else{if(t.priority>o)return;if(t.priority===o&&t.backend!==e)throw new Error(`cannot register backend "${i}" using priority ${o}`)}if(o>=0){let r=ie.indexOf(i);r!==-1&&ie.splice(r,1);for(let n=0;n<ie.length;n++)if(gr.get(ie[n]).priority<=o){ie.splice(n,0,i);return}ie.push(i)}return}throw new TypeError("not a valid backend")},Oc=async i=>{let e=gr.get(i);if(!e)return"backend not found.";if(e.initialized)return e.backend;if(e.aborted)return e.error;{let o=!!e.initPromise;try{return o||(e.initPromise=e.backend.init(i)),await e.initPromise,e.initialized=!0,e.backend}catch(t){return o||(e.error=`${t}`,e.aborted=!0),e.error}finally{delete e.initPromise}}},xr=async i=>{let e=i.executionProviders||[],o=e.map(u=>typeof u=="string"?u:u.name),t=o.length===0?ie:o,r,n=[],s=new Set;for(let u of t){let l=await Oc(u);typeof l=="string"?n.push({name:u,err:l}):(r||(r=l),r===l&&s.add(u))}if(!r)throw new Error(`no available backend found. 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t=o.getContext("2d");if(t!=null){let r,n;e?.tensorLayout!==void 0&&e.tensorLayout==="NHWC"?(r=i.dims[2],n=i.dims[3]):(r=i.dims[3],n=i.dims[2]);let s=e?.format!==void 0?e.format:"RGB",a=e?.norm,u,l;a===void 0||a.mean===void 0?u=[255,255,255,255]:typeof a.mean=="number"?u=[a.mean,a.mean,a.mean,a.mean]:(u=[a.mean[0],a.mean[1],a.mean[2],0],a.mean[3]!==void 0&&(u[3]=a.mean[3])),a===void 0||a.bias===void 0?l=[0,0,0,0]:typeof a.bias=="number"?l=[a.bias,a.bias,a.bias,a.bias]:(l=[a.bias[0],a.bias[1],a.bias[2],0],a.bias[3]!==void 0&&(l[3]=a.bias[3]));let f=n*r,c=0,d=f,m=f*2,y=-1;s==="RGBA"?(c=0,d=f,m=f*2,y=f*3):s==="RGB"?(c=0,d=f,m=f*2):s==="RBG"&&(c=0,m=f,d=f*2);for(let g=0;g<n;g++)for(let T=0;T<r;T++){let _=(i.data[c++]-l[0])*u[0],w=(i.data[d++]-l[1])*u[1],v=(i.data[m++]-l[2])*u[2],L=y===-1?255:(i.data[y++]-l[3])*u[3];t.fillStyle="rgba("+_+","+w+","+v+","+L+")",t.fillRect(T,g,1,1)}if("toDataURL"in o)return o.toDataURL();throw new Error("toDataURL is not supported")}else throw new Error("Can 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OffscreenCanvas?f.getContext("2d"):null;if(o){let f=u();f.width=i.width,f.height=i.height;let c=l(f);if(c!=null){let d=i.height,m=i.width;if(e!==void 0&&e.resizedHeight!==void 0&&e.resizedWidth!==void 0&&(d=e.resizedHeight,m=e.resizedWidth),e!==void 0){if(a=e,e.tensorFormat!==void 0)throw new Error("Image input config format must be RGBA for HTMLImageElement");a.tensorFormat="RGBA",a.height=d,a.width=m}else a.tensorFormat="RGBA",a.height=d,a.width=m;c.drawImage(i,0,0),s=c.getImageData(0,0,m,d).data}else throw new Error("Can not access image data")}else if(t){let f,c;if(e!==void 0&&e.resizedWidth!==void 0&&e.resizedHeight!==void 0?(f=e.resizedHeight,c=e.resizedWidth):(f=i.height,c=i.width),e!==void 0&&(a=e),a.format="RGBA",a.height=f,a.width=c,e!==void 0){let d=u();d.width=c,d.height=f;let m=l(d);if(m!=null)m.putImageData(i,0,0),s=m.getImageData(0,0,c,f).data;else throw new Error("Can not access image data")}else s=i.data}else if(r){if(e===void 0)throw new Error("Please provide image config with format for Imagebitmap");let f=u();f.width=i.width,f.height=i.height;let c=l(f);if(c!=null){let d=i.height,m=i.width;return c.drawImage(i,0,0,m,d),s=c.getImageData(0,0,m,d).data,a.height=d,a.width=m,Nn(s,a)}else throw new Error("Can not access image data")}else{if(n)return new Promise((f,c)=>{let d=u(),m=l(d);if(!i||!m)return c();let y=new Image;y.crossOrigin="Anonymous",y.src=i,y.onload=()=>{d.width=y.width,d.height=y.height,m.drawImage(y,0,0,d.width,d.height);let g=m.getImageData(0,0,d.width,d.height);a.height=d.height,a.width=d.width,f(Nn(g.data,a))}});throw new Error("Input data provided is not supported - aborted tensor creation")}if(s!==void 0)return Nn(s,a);throw new Error("Input data provided is not supported - aborted tensor creation")},di=(i,e)=>{let{width:o,height:t,download:r,dispose:n}=e,s=[1,t,o,4];return new st({location:"texture",type:"float32",texture:i,dims:s,download:r,dispose:n})},hi=(i,e)=>{let{dataType:o,dims:t,download:r,dispose:n}=e;return new 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st({location:"ml-tensor",mlTensor:i.mlTensor,type:i.type,dims:e});default:throw new Error(`tensorReshape: tensor location ${i.location} is not supported`)}}});var st,wr=x(()=>{"use strict";ci();yi();Ti();Ii();st=class{constructor(e,o,t){xi();let r,n;if(typeof e=="object"&&"location"in e)switch(this.dataLocation=e.location,r=e.type,n=e.dims,e.location){case"cpu-pinned":{let a=ae.get(r);if(!a)throw new TypeError(`unsupported type "${r}" to create tensor from pinned buffer`);if(!(e.data instanceof a))throw new TypeError(`buffer should be of type ${a.name}`);this.cpuData=e.data;break}case"texture":{if(r!=="float32")throw new TypeError(`unsupported type "${r}" to create tensor from texture`);this.gpuTextureData=e.texture,this.downloader=e.download,this.disposer=e.dispose;break}case"gpu-buffer":{if(r!=="float32"&&r!=="float16"&&r!=="int32"&&r!=="int64"&&r!=="uint32"&&r!=="uint8"&&r!=="bool"&&r!=="uint4"&&r!=="int4")throw new TypeError(`unsupported type "${r}" to create tensor from gpu buffer`);this.gpuBufferData=e.gpuBuffer,this.downloader=e.download,this.disposer=e.dispose;break}case"ml-tensor":{if(r!=="float32"&&r!=="float16"&&r!=="int32"&&r!=="int64"&&r!=="uint32"&&r!=="uint64"&&r!=="int8"&&r!=="uint8"&&r!=="bool")throw new TypeError(`unsupported type "${r}" to create tensor from MLTensor`);this.mlTensorData=e.mlTensor,this.downloader=e.download,this.disposer=e.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let a,u;if(typeof e=="string")if(r=e,u=t,e==="string"){if(!Array.isArray(o))throw new TypeError("A string tensor's data must be a string array.");a=o}else{let l=ae.get(e);if(l===void 0)throw new TypeError(`Unsupported tensor type: ${e}.`);if(Array.isArray(o)){if(e==="float16"&&l===Uint16Array||e==="uint4"||e==="int4")throw new TypeError(`Creating a ${e} tensor from number array is not supported. 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Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly.");return this.cpuData}get location(){return this.dataLocation}get texture(){if(this.ensureValid(),!this.gpuTextureData)throw new Error("The data is not stored as a WebGL texture.");return this.gpuTextureData}get gpuBuffer(){if(this.ensureValid(),!this.gpuBufferData)throw new Error("The data is not stored as a WebGPU buffer.");return this.gpuBufferData}get mlTensor(){if(this.ensureValid(),!this.mlTensorData)throw new Error("The data is not stored as a WebNN MLTensor.");return this.mlTensorData}async getData(e){switch(this.ensureValid(),this.dataLocation){case"cpu":case"cpu-pinned":return this.data;case"texture":case"gpu-buffer":case"ml-tensor":{if(!this.downloader)throw new Error("The current tensor is not created with a specified data downloader.");if(this.isDownloading)throw new Error("The current tensor is being downloaded.");try{this.isDownloading=!0;let o=await this.downloader();return this.downloader=void 0,this.dataLocation="cpu",this.cpuData=o,e&&this.disposer&&(this.disposer(),this.disposer=void 0),o}finally{this.isDownloading=!1}}default:throw new Error(`cannot get data from location: ${this.dataLocation}`)}}dispose(){if(this.isDownloading)throw new Error("The current tensor is being downloaded.");this.disposer&&(this.disposer(),this.disposer=void 0),this.cpuData=void 0,this.gpuTextureData=void 0,this.gpuBufferData=void 0,this.mlTensorData=void 0,this.downloader=void 0,this.isDownloading=void 0,this.dataLocation="none"}ensureValid(){if(this.dataLocation==="none")throw new Error("The tensor is disposed.")}reshape(e){if(this.ensureValid(),this.downloader||this.disposer)throw new Error("Cannot reshape a tensor that owns GPU resource.");return vi(this,e)}}});var rt,vr=x(()=>{"use strict";wr();rt=st});var _i,Si,se,ue,Cn=x(()=>{"use strict";Fn();_i=(i,e)=>{(typeof Tt.trace>"u"?!Tt.wasm.trace:!Tt.trace)||console.timeStamp(`${i}::ORT::${e}`)},Si=(i,e)=>{let o=new Error().stack?.split(/\r\n|\r|\n/g)||[],t=!1;for(let r=0;r<o.length;r++){if(t&&!o[r].includes("TRACE_FUNC")){let n=`FUNC_${i}::${o[r].trim().split(" ")[1]}`;e&&(n+=`::${e}`),_i("CPU",n);return}o[r].includes("TRACE_FUNC")&&(t=!0)}},se=i=>{(typeof Tt.trace>"u"?!Tt.wasm.trace:!Tt.trace)||Si("BEGIN",i)},ue=i=>{(typeof Tt.trace>"u"?!Tt.wasm.trace:!Tt.trace)||Si("END",i)}});var Ir,Oi=x(()=>{"use strict";Tr();vr();Cn();Ir=class i{constructor(e){this.handler=e}async run(e,o,t){se();let r={},n={};if(typeof e!="object"||e===null||e instanceof rt||Array.isArray(e))throw new TypeError("'feeds' must be an object that use input names as keys and OnnxValue as corresponding values.");let s=!0;if(typeof o=="object"){if(o===null)throw new TypeError("Unexpected argument[1]: cannot be null.");if(o instanceof rt)throw new TypeError("'fetches' cannot be a Tensor");if(Array.isArray(o)){if(o.length===0)throw new 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e.isNegative()?this.neg().mul(e.neg()):this.neg().mul(e).neg();if(e.isNegative())return this.mul(e.neg()).neg();if(this.lt(Hi)&&e.lt(Hi))return St(this.toNumber()*e.toNumber(),this.unsigned);var t=this.high>>>16,r=this.high&65535,n=this.low>>>16,s=this.low&65535,a=e.high>>>16,u=e.high&65535,l=e.low>>>16,f=e.low&65535,c=0,d=0,m=0,y=0;return y+=s*f,m+=y>>>16,y&=65535,m+=n*f,d+=m>>>16,m&=65535,m+=s*l,d+=m>>>16,m&=65535,d+=r*f,c+=d>>>16,d&=65535,d+=n*l,c+=d>>>16,d&=65535,d+=s*u,c+=d>>>16,d&=65535,c+=t*f+r*l+n*u+s*a,c&=65535,V(m<<16|y,c<<16|d,this.unsigned)};I.mul=I.multiply;I.divide=function(e){if(ct(e)||(e=Ft(e)),e.isZero())throw Error("division by zero");if(_t){if(!this.unsigned&&this.high===-2147483648&&e.low===-1&&e.high===-1)return this;var o=(this.unsigned?_t.div_u:_t.div_s)(this.low,this.high,e.low,e.high);return V(o,_t.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?qt:Bt;var t,r,n;if(this.unsigned){if(e.unsigned||(e=e.toUnsigned()),e.gt(this))return qt;if(e.gt(this.shru(1)))return ji;n=qt}else{if(this.eq(yt)){if(e.eq(Pe)||e.eq(Un))return yt;if(e.eq(yt))return Pe;var s=this.shr(1);return t=s.div(e).shl(1),t.eq(Bt)?e.isNegative()?Pe:Un:(r=this.sub(e.mul(t)),n=t.add(r.div(e)),n)}else if(e.eq(yt))return this.unsigned?qt:Bt;if(this.isNegative())return e.isNegative()?this.neg().div(e.neg()):this.neg().div(e).neg();if(e.isNegative())return this.div(e.neg()).neg();n=Bt}for(r=this;r.gte(e);){t=Math.max(1,Math.floor(r.toNumber()/e.toNumber()));for(var a=Math.ceil(Math.log(t)/Math.LN2),u=a<=48?1:Dr(2,a-48),l=St(t),f=l.mul(e);f.isNegative()||f.gt(r);)t-=u,l=St(t,this.unsigned),f=l.mul(e);l.isZero()&&(l=Pe),n=n.add(l),r=r.sub(f)}return n};I.div=I.divide;I.modulo=function(e){if(ct(e)||(e=Ft(e)),_t){var o=(this.unsigned?_t.rem_u:_t.rem_s)(this.low,this.high,e.low,e.high);return V(o,_t.get_high(),this.unsigned)}return this.sub(this.div(e).mul(e))};I.mod=I.modulo;I.rem=I.modulo;I.not=function(){return V(~this.low,~this.high,this.unsigned)};I.countLeadingZeros=function(){return this.high?Math.clz32(this.high):Math.clz32(this.low)+32};I.clz=I.countLeadingZeros;I.countTrailingZeros=function(){return this.low?Mi(this.low):Mi(this.high)+32};I.ctz=I.countTrailingZeros;I.and=function(e){return ct(e)||(e=Ft(e)),V(this.low&e.low,this.high&e.high,this.unsigned)};I.or=function(e){return ct(e)||(e=Ft(e)),V(this.low|e.low,this.high|e.high,this.unsigned)};I.xor=function(e){return ct(e)||(e=Ft(e)),V(this.low^e.low,this.high^e.high,this.unsigned)};I.shiftLeft=function(e){return ct(e)&&(e=e.toInt()),(e&=63)===0?this:e<32?V(this.low<<e,this.high<<e|this.low>>>32-e,this.unsigned):V(0,this.low<<e-32,this.unsigned)};I.shl=I.shiftLeft;I.shiftRight=function(e){return ct(e)&&(e=e.toInt()),(e&=63)===0?this:e<32?V(this.low>>>e|this.high<<32-e,this.high>>e,this.unsigned):V(this.high>>e-32,this.high>=0?0:-1,this.unsigned)};I.shr=I.shiftRight;I.shiftRightUnsigned=function(e){return ct(e)&&(e=e.toInt()),(e&=63)===0?this:e<32?V(this.low>>>e|this.high<<32-e,this.high>>>e,this.unsigned):e===32?V(this.high,0,this.unsigned):V(this.high>>>e-32,0,this.unsigned)};I.shru=I.shiftRightUnsigned;I.shr_u=I.shiftRightUnsigned;I.rotateLeft=function(e){var o;return ct(e)&&(e=e.toInt()),(e&=63)===0?this:e===32?V(this.high,this.low,this.unsigned):e<32?(o=32-e,V(this.low<<e|this.high>>>o,this.high<<e|this.low>>>o,this.unsigned)):(e-=32,o=32-e,V(this.high<<e|this.low>>>o,this.low<<e|this.high>>>o,this.unsigned))};I.rotl=I.rotateLeft;I.rotateRight=function(e){var o;return ct(e)&&(e=e.toInt()),(e&=63)===0?this:e===32?V(this.high,this.low,this.unsigned):e<32?(o=32-e,V(this.high<<o|this.low>>>e,this.low<<o|this.high>>>e,this.unsigned)):(e-=32,o=32-e,V(this.low<<o|this.high>>>e,this.high<<o|this.low>>>e,this.unsigned))};I.rotr=I.rotateRight;I.toSigned=function(){return this.unsigned?V(this.low,this.high,!1):this};I.toUnsigned=function(){return this.unsigned?this:V(this.low,this.high,!0)};I.toBytes=function(e){return e?this.toBytesLE():this.toBytesBE()};I.toBytesLE=function(){var e=this.high,o=this.low;return[o&255,o>>>8&255,o>>>16&255,o>>>24,e&255,e>>>8&255,e>>>16&255,e>>>24]};I.toBytesBE=function(){var e=this.high,o=this.low;return[e>>>24,e>>>16&255,e>>>8&255,e&255,o>>>24,o>>>16&255,o>>>8&255,o&255]};H.fromBytes=function(e,o,t){return t?H.fromBytesLE(e,o):H.fromBytesBE(e,o)};H.fromBytesLE=function(e,o){return new H(e[0]|e[1]<<8|e[2]<<16|e[3]<<24,e[4]|e[5]<<8|e[6]<<16|e[7]<<24,o)};H.fromBytesBE=function(e,o){return new H(e[4]<<24|e[5]<<16|e[6]<<8|e[7],e[0]<<24|e[1]<<16|e[2]<<8|e[3],o)};jt=H});var b,Lr=x(()=>{b={};b.Offset;b.Table;b.SIZEOF_SHORT=2;b.SIZEOF_INT=4;b.FILE_IDENTIFIER_LENGTH=4;b.SIZE_PREFIX_LENGTH=4;b.Encoding={UTF8_BYTES:1,UTF16_STRING:2};b.int32=new Int32Array(2);b.float32=new Float32Array(b.int32.buffer);b.float64=new Float64Array(b.int32.buffer);b.isLittleEndian=new Uint16Array(new Uint8Array([1,0]).buffer)[0]===1;b.Long=function(i,e){this.low=i|0,this.high=e|0};b.Long.create=function(i,e){return i==0&&e==0?b.Long.ZERO:new b.Long(i,e)};b.Long.prototype.toFloat64=function(){return(this.low>>>0)+this.high*4294967296};b.Long.prototype.equals=function(i){return this.low==i.low&&this.high==i.high};b.Long.ZERO=new b.Long(0,0);b.Builder=function(i){if(i)var e=i;else var e=1024;this.bb=b.ByteBuffer.allocate(e),this.space=e,this.minalign=1,this.vtable=null,this.vtable_in_use=0,this.isNested=!1,this.object_start=0,this.vtables=[],this.vector_num_elems=0,this.force_defaults=!1};b.Builder.prototype.clear=function(){this.bb.clear(),this.space=this.bb.capacity(),this.minalign=1,this.vtable=null,this.vtable_in_use=0,this.isNested=!1,this.object_start=0,this.vtables=[],this.vector_num_elems=0,this.force_defaults=!1};b.Builder.prototype.forceDefaults=function(i){this.force_defaults=i};b.Builder.prototype.dataBuffer=function(){return this.bb};b.Builder.prototype.asUint8Array=function(){return this.bb.bytes().subarray(this.bb.position(),this.bb.position()+this.offset())};b.Builder.prototype.prep=function(i,e){i>this.minalign&&(this.minalign=i);for(var o=~(this.bb.capacity()-this.space+e)+1&i-1;this.space<o+i+e;){var t=this.bb.capacity();this.bb=b.Builder.growByteBuffer(this.bb),this.space+=this.bb.capacity()-t}this.pad(o)};b.Builder.prototype.pad=function(i){for(var e=0;e<i;e++)this.bb.writeInt8(--this.space,0)};b.Builder.prototype.writeInt8=function(i){this.bb.writeInt8(this.space-=1,i)};b.Builder.prototype.writeInt16=function(i){this.bb.writeInt16(this.space-=2,i)};b.Builder.prototype.writeInt32=function(i){this.bb.writeInt32(this.space-=4,i)};b.Builder.prototype.writeInt64=function(i){this.bb.writeInt64(this.space-=8,i)};b.Builder.prototype.writeFloat32=function(i){this.bb.writeFloat32(this.space-=4,i)};b.Builder.prototype.writeFloat64=function(i){this.bb.writeFloat64(this.space-=8,i)};b.Builder.prototype.addInt8=function(i){this.prep(1,0),this.writeInt8(i)};b.Builder.prototype.addInt16=function(i){this.prep(2,0),this.writeInt16(i)};b.Builder.prototype.addInt32=function(i){this.prep(4,0),this.writeInt32(i)};b.Builder.prototype.addInt64=function(i){this.prep(8,0),this.writeInt64(i)};b.Builder.prototype.addFloat32=function(i){this.prep(4,0),this.writeFloat32(i)};b.Builder.prototype.addFloat64=function(i){this.prep(8,0),this.writeFloat64(i)};b.Builder.prototype.addFieldInt8=function(i,e,o){(this.force_defaults||e!=o)&&(this.addInt8(e),this.slot(i))};b.Builder.prototype.addFieldInt16=function(i,e,o){(this.force_defaults||e!=o)&&(this.addInt16(e),this.slot(i))};b.Builder.prototype.addFieldInt32=function(i,e,o){(this.force_defaults||e!=o)&&(this.addInt32(e),this.slot(i))};b.Builder.prototype.addFieldInt64=function(i,e,o){(this.force_defaults||!e.equals(o))&&(this.addInt64(e),this.slot(i))};b.Builder.prototype.addFieldFloat32=function(i,e,o){(this.force_defaults||e!=o)&&(this.addFloat32(e),this.slot(i))};b.Builder.prototype.addFieldFloat64=function(i,e,o){(this.force_defaults||e!=o)&&(this.addFloat64(e),this.slot(i))};b.Builder.prototype.addFieldOffset=function(i,e,o){(this.force_defaults||e!=o)&&(this.addOffset(e),this.slot(i))};b.Builder.prototype.addFieldStruct=function(i,e,o){e!=o&&(this.nested(e),this.slot(i))};b.Builder.prototype.nested=function(i){if(i!=this.offset())throw new Error("FlatBuffers: struct must be serialized inline.")};b.Builder.prototype.notNested=function(){if(this.isNested)throw new Error("FlatBuffers: object serialization must not be nested.")};b.Builder.prototype.slot=function(i){this.vtable[i]=this.offset()};b.Builder.prototype.offset=function(){return this.bb.capacity()-this.space};b.Builder.growByteBuffer=function(i){var e=i.capacity();if(e&3221225472)throw new Error("FlatBuffers: cannot grow buffer beyond 2 gigabytes.");var o=e<<1,t=b.ByteBuffer.allocate(o);return t.setPosition(o-e),t.bytes().set(i.bytes(),o-e),t};b.Builder.prototype.addOffset=function(i){this.prep(b.SIZEOF_INT,0),this.writeInt32(this.offset()-i+b.SIZEOF_INT)};b.Builder.prototype.startObject=function(i){this.notNested(),this.vtable==null&&(this.vtable=[]),this.vtable_in_use=i;for(var e=0;e<i;e++)this.vtable[e]=0;this.isNested=!0,this.object_start=this.offset()};b.Builder.prototype.endObject=function(){if(this.vtable==null||!this.isNested)throw new Error("FlatBuffers: endObject called without startObject");this.addInt32(0);for(var i=this.offset(),e=this.vtable_in_use-1;e>=0&&this.vtable[e]==0;e--);for(var o=e+1;e>=0;e--)this.addInt16(this.vtable[e]!=0?i-this.vtable[e]:0);var t=2;this.addInt16(i-this.object_start);var r=(o+t)*b.SIZEOF_SHORT;this.addInt16(r);var n=0,s=this.space;t:for(e=0;e<this.vtables.length;e++){var a=this.bb.capacity()-this.vtables[e];if(r==this.bb.readInt16(a)){for(var u=b.SIZEOF_SHORT;u<r;u+=b.SIZEOF_SHORT)if(this.bb.readInt16(s+u)!=this.bb.readInt16(a+u))continue t;n=this.vtables[e];break}}return n?(this.space=this.bb.capacity()-i,this.bb.writeInt32(this.space,n-i)):(this.vtables.push(this.offset()),this.bb.writeInt32(this.bb.capacity()-i,this.offset()-i)),this.isNested=!1,i};b.Builder.prototype.finish=function(i,e,o){var t=o?b.SIZE_PREFIX_LENGTH:0;if(e){var r=e;if(this.prep(this.minalign,b.SIZEOF_INT+b.FILE_IDENTIFIER_LENGTH+t),r.length!=b.FILE_IDENTIFIER_LENGTH)throw new Error("FlatBuffers: file identifier must be length "+b.FILE_IDENTIFIER_LENGTH);for(var n=b.FILE_IDENTIFIER_LENGTH-1;n>=0;n--)this.writeInt8(r.charCodeAt(n))}this.prep(this.minalign,b.SIZEOF_INT+t),this.addOffset(i),t&&this.addInt32(this.bb.capacity()-this.space),this.bb.setPosition(this.space)};b.Builder.prototype.finishSizePrefixed=function(i,e){this.finish(i,e,!0)};b.Builder.prototype.requiredField=function(i,e){var o=this.bb.capacity()-i,t=o-this.bb.readInt32(o),r=this.bb.readInt16(t+e)!=0;if(!r)throw new Error("FlatBuffers: field "+e+" must be set")};b.Builder.prototype.startVector=function(i,e,o){this.notNested(),this.vector_num_elems=e,this.prep(b.SIZEOF_INT,i*e),this.prep(o,i*e)};b.Builder.prototype.endVector=function(){return this.writeInt32(this.vector_num_elems),this.offset()};b.Builder.prototype.createString=function(i){if(i instanceof Uint8Array)var e=i;else for(var e=[],o=0;o<i.length;){var t,r=i.charCodeAt(o++);if(r<55296||r>=56320)t=r;else{var n=i.charCodeAt(o++);t=(r<<10)+n+(65536-56623104-56320)}t<128?e.push(t):(t<2048?e.push(t>>6&31|192):(t<65536?e.push(t>>12&15|224):e.push(t>>18&7|240,t>>12&63|128),e.push(t>>6&63|128)),e.push(t&63|128))}this.addInt8(0),this.startVector(1,e.length,1),this.bb.setPosition(this.space-=e.length);for(var o=0,s=this.space,a=this.bb.bytes();o<e.length;o++)a[s++]=e[o];return this.endVector()};b.Builder.prototype.createLong=function(i,e){return b.Long.create(i,e)};b.ByteBuffer=function(i){this.bytes_=i,this.position_=0};b.ByteBuffer.allocate=function(i){return new b.ByteBuffer(new Uint8Array(i))};b.ByteBuffer.prototype.clear=function(){this.position_=0};b.ByteBuffer.prototype.bytes=function(){return this.bytes_};b.ByteBuffer.prototype.position=function(){return this.position_};b.ByteBuffer.prototype.setPosition=function(i){this.position_=i};b.ByteBuffer.prototype.capacity=function(){return this.bytes_.length};b.ByteBuffer.prototype.readInt8=function(i){return this.readUint8(i)<<24>>24};b.ByteBuffer.prototype.readUint8=function(i){return this.bytes_[i]};b.ByteBuffer.prototype.readInt16=function(i){return this.readUint16(i)<<16>>16};b.ByteBuffer.prototype.readUint16=function(i){return this.bytes_[i]|this.bytes_[i+1]<<8};b.ByteBuffer.prototype.readInt32=function(i){return this.bytes_[i]|this.bytes_[i+1]<<8|this.bytes_[i+2]<<16|this.bytes_[i+3]<<24};b.ByteBuffer.prototype.readUint32=function(i){return this.readInt32(i)>>>0};b.ByteBuffer.prototype.readInt64=function(i){return new b.Long(this.readInt32(i),this.readInt32(i+4))};b.ByteBuffer.prototype.readUint64=function(i){return new b.Long(this.readUint32(i),this.readUint32(i+4))};b.ByteBuffer.prototype.readFloat32=function(i){return b.int32[0]=this.readInt32(i),b.float32[0]};b.ByteBuffer.prototype.readFloat64=function(i){return b.int32[b.isLittleEndian?0:1]=this.readInt32(i),b.int32[b.isLittleEndian?1:0]=this.readInt32(i+4),b.float64[0]};b.ByteBuffer.prototype.writeInt8=function(i,e){this.bytes_[i]=e};b.ByteBuffer.prototype.writeUint8=function(i,e){this.bytes_[i]=e};b.ByteBuffer.prototype.writeInt16=function(i,e){this.bytes_[i]=e,this.bytes_[i+1]=e>>8};b.ByteBuffer.prototype.writeUint16=function(i,e){this.bytes_[i]=e,this.bytes_[i+1]=e>>8};b.ByteBuffer.prototype.writeInt32=function(i,e){this.bytes_[i]=e,this.bytes_[i+1]=e>>8,this.bytes_[i+2]=e>>16,this.bytes_[i+3]=e>>24};b.ByteBuffer.prototype.writeUint32=function(i,e){this.bytes_[i]=e,this.bytes_[i+1]=e>>8,this.bytes_[i+2]=e>>16,this.bytes_[i+3]=e>>24};b.ByteBuffer.prototype.writeInt64=function(i,e){this.writeInt32(i,e.low),this.writeInt32(i+4,e.high)};b.ByteBuffer.prototype.writeUint64=function(i,e){this.writeUint32(i,e.low),this.writeUint32(i+4,e.high)};b.ByteBuffer.prototype.writeFloat32=function(i,e){b.float32[0]=e,this.writeInt32(i,b.int32[0])};b.ByteBuffer.prototype.writeFloat64=function(i,e){b.float64[0]=e,this.writeInt32(i,b.int32[b.isLittleEndian?0:1]),this.writeInt32(i+4,b.int32[b.isLittleEndian?1:0])};b.ByteBuffer.prototype.getBufferIdentifier=function(){if(this.bytes_.length<this.position_+b.SIZEOF_INT+b.FILE_IDENTIFIER_LENGTH)throw new Error("FlatBuffers: ByteBuffer is too short to contain an identifier.");for(var i="",e=0;e<b.FILE_IDENTIFIER_LENGTH;e++)i+=String.fromCharCode(this.readInt8(this.position_+b.SIZEOF_INT+e));return i};b.ByteBuffer.prototype.__offset=function(i,e){var o=i-this.readInt32(i);return e<this.readInt16(o)?this.readInt16(o+e):0};b.ByteBuffer.prototype.__union=function(i,e){return i.bb_pos=e+this.readInt32(e),i.bb=this,i};b.ByteBuffer.prototype.__string=function(i,e){i+=this.readInt32(i);var o=this.readInt32(i),t="",r=0;if(i+=b.SIZEOF_INT,e===b.Encoding.UTF8_BYTES)return this.bytes_.subarray(i,i+o);for(;r<o;){var n,s=this.readUint8(i+r++);if(s<192)n=s;else{var a=this.readUint8(i+r++);if(s<224)n=(s&31)<<6|a&63;else{var u=this.readUint8(i+r++);if(s<240)n=(s&15)<<12|(a&63)<<6|u&63;else{var l=this.readUint8(i+r++);n=(s&7)<<18|(a&63)<<12|(u&63)<<6|l&63}}}n<65536?t+=String.fromCharCode(n):(n-=65536,t+=String.fromCharCode((n>>10)+55296,(n&1024-1)+56320))}return 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r=p.onnx.TensorProto.verify(t.t);if(r)return"t."+r}if(t.g!=null&&t.hasOwnProperty("g")){var r=p.onnx.GraphProto.verify(t.g);if(r)return"g."+r}if(t.sparseTensor!=null&&t.hasOwnProperty("sparseTensor")){var r=p.onnx.SparseTensorProto.verify(t.sparseTensor);if(r)return"sparseTensor."+r}if(t.tp!=null&&t.hasOwnProperty("tp")){var r=p.onnx.TypeProto.verify(t.tp);if(r)return"tp."+r}if(t.floats!=null&&t.hasOwnProperty("floats")){if(!Array.isArray(t.floats))return"floats: array expected";for(var n=0;n<t.floats.length;++n)if(typeof t.floats[n]!="number")return"floats: number[] expected"}if(t.ints!=null&&t.hasOwnProperty("ints")){if(!Array.isArray(t.ints))return"ints: array expected";for(var n=0;n<t.ints.length;++n)if(!h.isInteger(t.ints[n])&&!(t.ints[n]&&h.isInteger(t.ints[n].low)&&h.isInteger(t.ints[n].high)))return"ints: integer|Long[] expected"}if(t.strings!=null&&t.hasOwnProperty("strings")){if(!Array.isArray(t.strings))return"strings: array expected";for(var n=0;n<t.strings.length;++n)if(!(t.strings[n]&&typeof t.strings[n].length=="number"||h.isString(t.strings[n])))return"strings: buffer[] expected"}if(t.tensors!=null&&t.hasOwnProperty("tensors")){if(!Array.isArray(t.tensors))return"tensors: array expected";for(var n=0;n<t.tensors.length;++n){var r=p.onnx.TensorProto.verify(t.tensors[n]);if(r)return"tensors."+r}}if(t.graphs!=null&&t.hasOwnProperty("graphs")){if(!Array.isArray(t.graphs))return"graphs: array expected";for(var n=0;n<t.graphs.length;++n){var r=p.onnx.GraphProto.verify(t.graphs[n]);if(r)return"graphs."+r}}if(t.sparseTensors!=null&&t.hasOwnProperty("sparseTensors")){if(!Array.isArray(t.sparseTensors))return"sparseTensors: array expected";for(var n=0;n<t.sparseTensors.length;++n){var r=p.onnx.SparseTensorProto.verify(t.sparseTensors[n]);if(r)return"sparseTensors."+r}}if(t.typeProtos!=null&&t.hasOwnProperty("typeProtos")){if(!Array.isArray(t.typeProtos))return"typeProtos: array expected";for(var n=0;n<t.typeProtos.length;++n){var r=p.onnx.TypeProto.verify(t.typeProtos[n]);if(r)return"typeProtos."+r}}return null},e.fromObject=function(t){if(t instanceof p.onnx.AttributeProto)return t;var r=new p.onnx.AttributeProto;switch(t.name!=null&&(r.name=String(t.name)),t.refAttrName!=null&&(r.refAttrName=String(t.refAttrName)),t.docString!=null&&(r.docString=String(t.docString)),t.type){default:if(typeof t.type=="number"){r.type=t.type;break}break;case"UNDEFINED":case 0:r.type=0;break;case"FLOAT":case 1:r.type=1;break;case"INT":case 2:r.type=2;break;case"STRING":case 3:r.type=3;break;case"TENSOR":case 4:r.type=4;break;case"GRAPH":case 5:r.type=5;break;case"SPARSE_TENSOR":case 11:r.type=11;break;case"TYPE_PROTO":case 13:r.type=13;break;case"FLOATS":case 6:r.type=6;break;case"INTS":case 7:r.type=7;break;case"STRINGS":case 8:r.type=8;break;case"TENSORS":case 9:r.type=9;break;case"GRAPHS":case 10:r.type=10;break;case"SPARSE_TENSORS":case 12:r.type=12;break;case"TYPE_PROTOS":case 14:r.type=14;break}if(t.f!=null&&(r.f=Number(t.f)),t.i!=null&&(h.Long?(r.i=h.Long.fromValue(t.i)).unsigned=!1:typeof t.i=="string"?r.i=parseInt(t.i,10):typeof t.i=="number"?r.i=t.i:typeof t.i=="object"&&(r.i=new h.LongBits(t.i.low>>>0,t.i.high>>>0).toNumber())),t.s!=null&&(typeof t.s=="string"?h.base64.decode(t.s,r.s=h.newBuffer(h.base64.length(t.s)),0):t.s.length>=0&&(r.s=t.s)),t.t!=null){if(typeof t.t!="object")throw TypeError(".onnx.AttributeProto.t: object expected");r.t=p.onnx.TensorProto.fromObject(t.t)}if(t.g!=null){if(typeof t.g!="object")throw TypeError(".onnx.AttributeProto.g: object expected");r.g=p.onnx.GraphProto.fromObject(t.g)}if(t.sparseTensor!=null){if(typeof t.sparseTensor!="object")throw TypeError(".onnx.AttributeProto.sparseTensor: object expected");r.sparseTensor=p.onnx.SparseTensorProto.fromObject(t.sparseTensor)}if(t.tp!=null){if(typeof t.tp!="object")throw TypeError(".onnx.AttributeProto.tp: object expected");r.tp=p.onnx.TypeProto.fromObject(t.tp)}if(t.floats){if(!Array.isArray(t.floats))throw TypeError(".onnx.AttributeProto.floats: array expected");r.floats=[];for(var n=0;n<t.floats.length;++n)r.floats[n]=Number(t.floats[n])}if(t.ints){if(!Array.isArray(t.ints))throw TypeError(".onnx.AttributeProto.ints: array expected");r.ints=[];for(var n=0;n<t.ints.length;++n)h.Long?(r.ints[n]=h.Long.fromValue(t.ints[n])).unsigned=!1:typeof t.ints[n]=="string"?r.ints[n]=parseInt(t.ints[n],10):typeof t.ints[n]=="number"?r.ints[n]=t.ints[n]:typeof t.ints[n]=="object"&&(r.ints[n]=new h.LongBits(t.ints[n].low>>>0,t.ints[n].high>>>0).toNumber())}if(t.strings){if(!Array.isArray(t.strings))throw TypeError(".onnx.AttributeProto.strings: array expected");r.strings=[];for(var n=0;n<t.strings.length;++n)typeof t.strings[n]=="string"?h.base64.decode(t.strings[n],r.strings[n]=h.newBuffer(h.base64.length(t.strings[n])),0):t.strings[n].length>=0&&(r.strings[n]=t.strings[n])}if(t.tensors){if(!Array.isArray(t.tensors))throw TypeError(".onnx.AttributeProto.tensors: array expected");r.tensors=[];for(var n=0;n<t.tensors.length;++n){if(typeof t.tensors[n]!="object")throw TypeError(".onnx.AttributeProto.tensors: object expected");r.tensors[n]=p.onnx.TensorProto.fromObject(t.tensors[n])}}if(t.graphs){if(!Array.isArray(t.graphs))throw TypeError(".onnx.AttributeProto.graphs: array expected");r.graphs=[];for(var n=0;n<t.graphs.length;++n){if(typeof t.graphs[n]!="object")throw TypeError(".onnx.AttributeProto.graphs: object expected");r.graphs[n]=p.onnx.GraphProto.fromObject(t.graphs[n])}}if(t.sparseTensors){if(!Array.isArray(t.sparseTensors))throw TypeError(".onnx.AttributeProto.sparseTensors: array expected");r.sparseTensors=[];for(var n=0;n<t.sparseTensors.length;++n){if(typeof t.sparseTensors[n]!="object")throw TypeError(".onnx.AttributeProto.sparseTensors: object expected");r.sparseTensors[n]=p.onnx.SparseTensorProto.fromObject(t.sparseTensors[n])}}if(t.typeProtos){if(!Array.isArray(t.typeProtos))throw TypeError(".onnx.AttributeProto.typeProtos: array expected");r.typeProtos=[];for(var n=0;n<t.typeProtos.length;++n){if(typeof t.typeProtos[n]!="object")throw TypeError(".onnx.AttributeProto.typeProtos: object expected");r.typeProtos[n]=p.onnx.TypeProto.fromObject(t.typeProtos[n])}}return r},e.toObject=function(t,r){r||(r={});var n={};if((r.arrays||r.defaults)&&(n.floats=[],n.ints=[],n.strings=[],n.tensors=[],n.graphs=[],n.typeProtos=[],n.sparseTensors=[]),r.defaults){if(n.name="",n.f=0,h.Long){var s=new h.Long(0,0,!1);n.i=r.longs===String?s.toString():r.longs===Number?s.toNumber():s}else n.i=r.longs===String?"0":0;r.bytes===String?n.s="":(n.s=[],r.bytes!==Array&&(n.s=h.newBuffer(n.s))),n.t=null,n.g=null,n.docString="",n.tp=null,n.type=r.enums===String?"UNDEFINED":0,n.refAttrName="",n.sparseTensor=null}if(t.name!=null&&t.hasOwnProperty("name")&&(n.name=t.name),t.f!=null&&t.hasOwnProperty("f")&&(n.f=r.json&&!isFinite(t.f)?String(t.f):t.f),t.i!=null&&t.hasOwnProperty("i")&&(typeof t.i=="number"?n.i=r.longs===String?String(t.i):t.i:n.i=r.longs===String?h.Long.prototype.toString.call(t.i):r.longs===Number?new h.LongBits(t.i.low>>>0,t.i.high>>>0).toNumber():t.i),t.s!=null&&t.hasOwnProperty("s")&&(n.s=r.bytes===String?h.base64.encode(t.s,0,t.s.length):r.bytes===Array?Array.prototype.slice.call(t.s):t.s),t.t!=null&&t.hasOwnProperty("t")&&(n.t=p.onnx.TensorProto.toObject(t.t,r)),t.g!=null&&t.hasOwnProperty("g")&&(n.g=p.onnx.GraphProto.toObject(t.g,r)),t.floats&&t.floats.length){n.floats=[];for(var a=0;a<t.floats.length;++a)n.floats[a]=r.json&&!isFinite(t.floats[a])?String(t.floats[a]):t.floats[a]}if(t.ints&&t.ints.length){n.ints=[];for(var a=0;a<t.ints.length;++a)typeof t.ints[a]=="number"?n.ints[a]=r.longs===String?String(t.ints[a]):t.ints[a]:n.ints[a]=r.longs===String?h.Long.prototype.toString.call(t.ints[a]):r.longs===Number?new h.LongBits(t.ints[a].low>>>0,t.ints[a].high>>>0).toNumber():t.ints[a]}if(t.strings&&t.strings.length){n.strings=[];for(var a=0;a<t.strings.length;++a)n.strings[a]=r.bytes===String?h.base64.encode(t.strings[a],0,t.strings[a].length):r.bytes===Array?Array.prototype.slice.call(t.strings[a]):t.strings[a]}if(t.tensors&&t.tensors.length){n.tensors=[];for(var a=0;a<t.tensors.length;++a)n.tensors[a]=p.onnx.TensorProto.toObject(t.tensors[a],r)}if(t.graphs&&t.graphs.length){n.graphs=[];for(var a=0;a<t.graphs.length;++a)n.graphs[a]=p.onnx.GraphProto.toObject(t.graphs[a],r)}if(t.docString!=null&&t.hasOwnProperty("docString")&&(n.docString=t.docString),t.tp!=null&&t.hasOwnProperty("tp")&&(n.tp=p.onnx.TypeProto.toObject(t.tp,r)),t.typeProtos&&t.typeProtos.length){n.typeProtos=[];for(var a=0;a<t.typeProtos.length;++a)n.typeProtos[a]=p.onnx.TypeProto.toObject(t.typeProtos[a],r)}if(t.type!=null&&t.hasOwnProperty("type")&&(n.type=r.enums===String?p.onnx.AttributeProto.AttributeType[t.type]===void 0?t.type:p.onnx.AttributeProto.AttributeType[t.type]:t.type),t.refAttrName!=null&&t.hasOwnProperty("refAttrName")&&(n.refAttrName=t.refAttrName),t.sparseTensor!=null&&t.hasOwnProperty("sparseTensor")&&(n.sparseTensor=p.onnx.SparseTensorProto.toObject(t.sparseTensor,r)),t.sparseTensors&&t.sparseTensors.length){n.sparseTensors=[];for(var a=0;a<t.sparseTensors.length;++a)n.sparseTensors[a]=p.onnx.SparseTensorProto.toObject(t.sparseTensors[a],r)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.AttributeProto"},e.AttributeType=function(){var o={},t=Object.create(o);return t[o[0]="UNDEFINED"]=0,t[o[1]="FLOAT"]=1,t[o[2]="INT"]=2,t[o[3]="STRING"]=3,t[o[4]="TENSOR"]=4,t[o[5]="GRAPH"]=5,t[o[11]="SPARSE_TENSOR"]=11,t[o[13]="TYPE_PROTO"]=13,t[o[6]="FLOATS"]=6,t[o[7]="INTS"]=7,t[o[8]="STRINGS"]=8,t[o[9]="TENSORS"]=9,t[o[10]="GRAPHS"]=10,t[o[12]="SPARSE_TENSORS"]=12,t[o[14]="TYPE_PROTOS"]=14,t}(),e}(),i.ValueInfoProto=function(){function e(o){if(o)for(var t=Object.keys(o),r=0;r<t.length;++r)o[t[r]]!=null&&(this[t[r]]=o[t[r]])}return e.prototype.name="",e.prototype.type=null,e.prototype.docString="",e.create=function(t){return new e(t)},e.encode=function(t,r){return r||(r=J.create()),t.name!=null&&Object.hasOwnProperty.call(t,"name")&&r.uint32(10).string(t.name),t.type!=null&&Object.hasOwnProperty.call(t,"type")&&p.onnx.TypeProto.encode(t.type,r.uint32(18).fork()).ldelim(),t.docString!=null&&Object.hasOwnProperty.call(t,"docString")&&r.uint32(26).string(t.docString),r},e.encodeDelimited=function(t,r){return this.encode(t,r).ldelim()},e.decode=function(t,r){t instanceof S||(t=S.create(t));for(var n=r===void 0?t.len:t.pos+r,s=new p.onnx.ValueInfoProto;t.pos<n;){var a=t.uint32();switch(a>>>3){case 1:{s.name=t.string();break}case 2:{s.type=p.onnx.TypeProto.decode(t,t.uint32());break}case 3:{s.docString=t.string();break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.name!=null&&t.hasOwnProperty("name")&&!h.isString(t.name))return"name: string expected";if(t.type!=null&&t.hasOwnProperty("type")){var r=p.onnx.TypeProto.verify(t.type);if(r)return"type."+r}return t.docString!=null&&t.hasOwnProperty("docString")&&!h.isString(t.docString)?"docString: string expected":null},e.fromObject=function(t){if(t instanceof p.onnx.ValueInfoProto)return t;var r=new p.onnx.ValueInfoProto;if(t.name!=null&&(r.name=String(t.name)),t.type!=null){if(typeof t.type!="object")throw TypeError(".onnx.ValueInfoProto.type: object expected");r.type=p.onnx.TypeProto.fromObject(t.type)}return t.docString!=null&&(r.docString=String(t.docString)),r},e.toObject=function(t,r){r||(r={});var n={};return r.defaults&&(n.name="",n.type=null,n.docString=""),t.name!=null&&t.hasOwnProperty("name")&&(n.name=t.name),t.type!=null&&t.hasOwnProperty("type")&&(n.type=p.onnx.TypeProto.toObject(t.type,r)),t.docString!=null&&t.hasOwnProperty("docString")&&(n.docString=t.docString),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.ValueInfoProto"},e}(),i.NodeProto=function(){function e(o){if(this.input=[],this.output=[],this.attribute=[],o)for(var t=Object.keys(o),r=0;r<t.length;++r)o[t[r]]!=null&&(this[t[r]]=o[t[r]])}return e.prototype.input=h.emptyArray,e.prototype.output=h.emptyArray,e.prototype.name="",e.prototype.opType="",e.prototype.domain="",e.prototype.attribute=h.emptyArray,e.prototype.docString="",e.create=function(t){return new e(t)},e.encode=function(t,r){if(r||(r=J.create()),t.input!=null&&t.input.length)for(var n=0;n<t.input.length;++n)r.uint32(10).string(t.input[n]);if(t.output!=null&&t.output.length)for(var n=0;n<t.output.length;++n)r.uint32(18).string(t.output[n]);if(t.name!=null&&Object.hasOwnProperty.call(t,"name")&&r.uint32(26).string(t.name),t.opType!=null&&Object.hasOwnProperty.call(t,"opType")&&r.uint32(34).string(t.opType),t.attribute!=null&&t.attribute.length)for(var n=0;n<t.attribute.length;++n)p.onnx.AttributeProto.encode(t.attribute[n],r.uint32(42).fork()).ldelim();return t.docString!=null&&Object.hasOwnProperty.call(t,"docString")&&r.uint32(50).string(t.docString),t.domain!=null&&Object.hasOwnProperty.call(t,"domain")&&r.uint32(58).string(t.domain),r},e.encodeDelimited=function(t,r){return this.encode(t,r).ldelim()},e.decode=function(t,r){t instanceof S||(t=S.create(t));for(var n=r===void 0?t.len:t.pos+r,s=new p.onnx.NodeProto;t.pos<n;){var a=t.uint32();switch(a>>>3){case 1:{s.input&&s.input.length||(s.input=[]),s.input.push(t.string());break}case 2:{s.output&&s.output.length||(s.output=[]),s.output.push(t.string());break}case 3:{s.name=t.string();break}case 4:{s.opType=t.string();break}case 7:{s.domain=t.string();break}case 5:{s.attribute&&s.attribute.length||(s.attribute=[]),s.attribute.push(p.onnx.AttributeProto.decode(t,t.uint32()));break}case 6:{s.docString=t.string();break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.input!=null&&t.hasOwnProperty("input")){if(!Array.isArray(t.input))return"input: array expected";for(var r=0;r<t.input.length;++r)if(!h.isString(t.input[r]))return"input: string[] expected"}if(t.output!=null&&t.hasOwnProperty("output")){if(!Array.isArray(t.output))return"output: array expected";for(var r=0;r<t.output.length;++r)if(!h.isString(t.output[r]))return"output: string[] expected"}if(t.name!=null&&t.hasOwnProperty("name")&&!h.isString(t.name))return"name: string expected";if(t.opType!=null&&t.hasOwnProperty("opType")&&!h.isString(t.opType))return"opType: string expected";if(t.domain!=null&&t.hasOwnProperty("domain")&&!h.isString(t.domain))return"domain: string expected";if(t.attribute!=null&&t.hasOwnProperty("attribute")){if(!Array.isArray(t.attribute))return"attribute: array expected";for(var r=0;r<t.attribute.length;++r){var n=p.onnx.AttributeProto.verify(t.attribute[r]);if(n)return"attribute."+n}}return t.docString!=null&&t.hasOwnProperty("docString")&&!h.isString(t.docString)?"docString: string expected":null},e.fromObject=function(t){if(t instanceof p.onnx.NodeProto)return t;var r=new p.onnx.NodeProto;if(t.input){if(!Array.isArray(t.input))throw TypeError(".onnx.NodeProto.input: array expected");r.input=[];for(var n=0;n<t.input.length;++n)r.input[n]=String(t.input[n])}if(t.output){if(!Array.isArray(t.output))throw TypeError(".onnx.NodeProto.output: array expected");r.output=[];for(var n=0;n<t.output.length;++n)r.output[n]=String(t.output[n])}if(t.name!=null&&(r.name=String(t.name)),t.opType!=null&&(r.opType=String(t.opType)),t.domain!=null&&(r.domain=String(t.domain)),t.attribute){if(!Array.isArray(t.attribute))throw TypeError(".onnx.NodeProto.attribute: array expected");r.attribute=[];for(var n=0;n<t.attribute.length;++n){if(typeof t.attribute[n]!="object")throw TypeError(".onnx.NodeProto.attribute: object expected");r.attribute[n]=p.onnx.AttributeProto.fromObject(t.attribute[n])}}return t.docString!=null&&(r.docString=String(t.docString)),r},e.toObject=function(t,r){r||(r={});var n={};if((r.arrays||r.defaults)&&(n.input=[],n.output=[],n.attribute=[]),r.defaults&&(n.name="",n.opType="",n.docString="",n.domain=""),t.input&&t.input.length){n.input=[];for(var s=0;s<t.input.length;++s)n.input[s]=t.input[s]}if(t.output&&t.output.length){n.output=[];for(var s=0;s<t.output.length;++s)n.output[s]=t.output[s]}if(t.name!=null&&t.hasOwnProperty("name")&&(n.name=t.name),t.opType!=null&&t.hasOwnProperty("opType")&&(n.opType=t.opType),t.attribute&&t.attribute.length){n.attribute=[];for(var s=0;s<t.attribute.length;++s)n.attribute[s]=p.onnx.AttributeProto.toObject(t.attribute[s],r)}return t.docString!=null&&t.hasOwnProperty("docString")&&(n.docString=t.docString),t.domain!=null&&t.hasOwnProperty("domain")&&(n.domain=t.domain),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.NodeProto"},e}(),i.TrainingInfoProto=function(){function e(o){if(this.initializationBinding=[],this.updateBinding=[],o)for(var t=Object.keys(o),r=0;r<t.length;++r)o[t[r]]!=null&&(this[t[r]]=o[t[r]])}return e.prototype.initialization=null,e.prototype.algorithm=null,e.prototype.initializationBinding=h.emptyArray,e.prototype.updateBinding=h.emptyArray,e.create=function(t){return new e(t)},e.encode=function(t,r){if(r||(r=J.create()),t.initialization!=null&&Object.hasOwnProperty.call(t,"initialization")&&p.onnx.GraphProto.encode(t.initialization,r.uint32(10).fork()).ldelim(),t.algorithm!=null&&Object.hasOwnProperty.call(t,"algorithm")&&p.onnx.GraphProto.encode(t.algorithm,r.uint32(18).fork()).ldelim(),t.initializationBinding!=null&&t.initializationBinding.length)for(var n=0;n<t.initializationBinding.length;++n)p.onnx.StringStringEntryProto.encode(t.initializationBinding[n],r.uint32(26).fork()).ldelim();if(t.updateBinding!=null&&t.updateBinding.length)for(var n=0;n<t.updateBinding.length;++n)p.onnx.StringStringEntryProto.encode(t.updateBinding[n],r.uint32(34).fork()).ldelim();return r},e.encodeDelimited=function(t,r){return this.encode(t,r).ldelim()},e.decode=function(t,r){t instanceof S||(t=S.create(t));for(var n=r===void 0?t.len:t.pos+r,s=new p.onnx.TrainingInfoProto;t.pos<n;){var a=t.uint32();switch(a>>>3){case 1:{s.initialization=p.onnx.GraphProto.decode(t,t.uint32());break}case 2:{s.algorithm=p.onnx.GraphProto.decode(t,t.uint32());break}case 3:{s.initializationBinding&&s.initializationBinding.length||(s.initializationBinding=[]),s.initializationBinding.push(p.onnx.StringStringEntryProto.decode(t,t.uint32()));break}case 4:{s.updateBinding&&s.updateBinding.length||(s.updateBinding=[]),s.updateBinding.push(p.onnx.StringStringEntryProto.decode(t,t.uint32()));break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.initialization!=null&&t.hasOwnProperty("initialization")){var r=p.onnx.GraphProto.verify(t.initialization);if(r)return"initialization."+r}if(t.algorithm!=null&&t.hasOwnProperty("algorithm")){var r=p.onnx.GraphProto.verify(t.algorithm);if(r)return"algorithm."+r}if(t.initializationBinding!=null&&t.hasOwnProperty("initializationBinding")){if(!Array.isArray(t.initializationBinding))return"initializationBinding: array expected";for(var n=0;n<t.initializationBinding.length;++n){var r=p.onnx.StringStringEntryProto.verify(t.initializationBinding[n]);if(r)return"initializationBinding."+r}}if(t.updateBinding!=null&&t.hasOwnProperty("updateBinding")){if(!Array.isArray(t.updateBinding))return"updateBinding: array expected";for(var n=0;n<t.updateBinding.length;++n){var r=p.onnx.StringStringEntryProto.verify(t.updateBinding[n]);if(r)return"updateBinding."+r}}return null},e.fromObject=function(t){if(t instanceof p.onnx.TrainingInfoProto)return t;var r=new p.onnx.TrainingInfoProto;if(t.initialization!=null){if(typeof t.initialization!="object")throw TypeError(".onnx.TrainingInfoProto.initialization: object expected");r.initialization=p.onnx.GraphProto.fromObject(t.initialization)}if(t.algorithm!=null){if(typeof t.algorithm!="object")throw TypeError(".onnx.TrainingInfoProto.algorithm: object expected");r.algorithm=p.onnx.GraphProto.fromObject(t.algorithm)}if(t.initializationBinding){if(!Array.isArray(t.initializationBinding))throw TypeError(".onnx.TrainingInfoProto.initializationBinding: array expected");r.initializationBinding=[];for(var n=0;n<t.initializationBinding.length;++n){if(typeof t.initializationBinding[n]!="object")throw TypeError(".onnx.TrainingInfoProto.initializationBinding: object expected");r.initializationBinding[n]=p.onnx.StringStringEntryProto.fromObject(t.initializationBinding[n])}}if(t.updateBinding){if(!Array.isArray(t.updateBinding))throw TypeError(".onnx.TrainingInfoProto.updateBinding: array expected");r.updateBinding=[];for(var n=0;n<t.updateBinding.length;++n){if(typeof t.updateBinding[n]!="object")throw TypeError(".onnx.TrainingInfoProto.updateBinding: object expected");r.updateBinding[n]=p.onnx.StringStringEntryProto.fromObject(t.updateBinding[n])}}return r},e.toObject=function(t,r){r||(r={});var n={};if((r.arrays||r.defaults)&&(n.initializationBinding=[],n.updateBinding=[]),r.defaults&&(n.initialization=null,n.algorithm=null),t.initialization!=null&&t.hasOwnProperty("initialization")&&(n.initialization=p.onnx.GraphProto.toObject(t.initialization,r)),t.algorithm!=null&&t.hasOwnProperty("algorithm")&&(n.algorithm=p.onnx.GraphProto.toObject(t.algorithm,r)),t.initializationBinding&&t.initializationBinding.length){n.initializationBinding=[];for(var s=0;s<t.initializationBinding.length;++s)n.initializationBinding[s]=p.onnx.StringStringEntryProto.toObject(t.initializationBinding[s],r)}if(t.updateBinding&&t.updateBinding.length){n.updateBinding=[];for(var s=0;s<t.updateBinding.length;++s)n.updateBinding[s]=p.onnx.StringStringEntryProto.toObject(t.updateBinding[s],r)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.TrainingInfoProto"},e}(),i.ModelProto=function(){function e(o){if(this.opsetImport=[],this.metadataProps=[],this.trainingInfo=[],this.functions=[],o)for(var t=Object.keys(o),r=0;r<t.length;++r)o[t[r]]!=null&&(this[t[r]]=o[t[r]])}return e.prototype.irVersion=h.Long?h.Long.fromBits(0,0,!1):0,e.prototype.opsetImport=h.emptyArray,e.prototype.producerName="",e.prototype.producerVersion="",e.prototype.domain="",e.prototype.modelVersion=h.Long?h.Long.fromBits(0,0,!1):0,e.prototype.docString="",e.prototype.graph=null,e.prototype.metadataProps=h.emptyArray,e.prototype.trainingInfo=h.emptyArray,e.prototype.functions=h.emptyArray,e.create=function(t){return new e(t)},e.encode=function(t,r){if(r||(r=J.create()),t.irVersion!=null&&Object.hasOwnProperty.call(t,"irVersion")&&r.uint32(8).int64(t.irVersion),t.producerName!=null&&Object.hasOwnProperty.call(t,"producerName")&&r.uint32(18).string(t.producerName),t.producerVersion!=null&&Object.hasOwnProperty.call(t,"producerVersion")&&r.uint32(26).string(t.producerVersion),t.domain!=null&&Object.hasOwnProperty.call(t,"domain")&&r.uint32(34).string(t.domain),t.modelVersion!=null&&Object.hasOwnProperty.call(t,"modelVersion")&&r.uint32(40).int64(t.modelVersion),t.docString!=null&&Object.hasOwnProperty.call(t,"docString")&&r.uint32(50).string(t.docString),t.graph!=null&&Object.hasOwnProperty.call(t,"graph")&&p.onnx.GraphProto.encode(t.graph,r.uint32(58).fork()).ldelim(),t.opsetImport!=null&&t.opsetImport.length)for(var n=0;n<t.opsetImport.length;++n)p.onnx.OperatorSetIdProto.encode(t.opsetImport[n],r.uint32(66).fork()).ldelim();if(t.metadataProps!=null&&t.metadataProps.length)for(var n=0;n<t.metadataProps.length;++n)p.onnx.StringStringEntryProto.encode(t.metadataProps[n],r.uint32(114).fork()).ldelim();if(t.trainingInfo!=null&&t.trainingInfo.length)for(var n=0;n<t.trainingInfo.length;++n)p.onnx.TrainingInfoProto.encode(t.trainingInfo[n],r.uint32(162).fork()).ldelim();if(t.functions!=null&&t.functions.length)for(var n=0;n<t.functions.length;++n)p.onnx.FunctionProto.encode(t.functions[n],r.uint32(202).fork()).ldelim();return r},e.encodeDelimited=function(t,r){return this.encode(t,r).ldelim()},e.decode=function(t,r){t instanceof S||(t=S.create(t));for(var n=r===void 0?t.len:t.pos+r,s=new p.onnx.ModelProto;t.pos<n;){var a=t.uint32();switch(a>>>3){case 1:{s.irVersion=t.int64();break}case 8:{s.opsetImport&&s.opsetImport.length||(s.opsetImport=[]),s.opsetImport.push(p.onnx.OperatorSetIdProto.decode(t,t.uint32()));break}case 2:{s.producerName=t.string();break}case 3:{s.producerVersion=t.string();break}case 4:{s.domain=t.string();break}case 5:{s.modelVersion=t.int64();break}case 6:{s.docString=t.string();break}case 7:{s.graph=p.onnx.GraphProto.decode(t,t.uint32());break}case 14:{s.metadataProps&&s.metadataProps.length||(s.metadataProps=[]),s.metadataProps.push(p.onnx.StringStringEntryProto.decode(t,t.uint32()));break}case 20:{s.trainingInfo&&s.trainingInfo.length||(s.trainingInfo=[]),s.trainingInfo.push(p.onnx.TrainingInfoProto.decode(t,t.uint32()));break}case 25:{s.functions&&s.functions.length||(s.functions=[]),s.functions.push(p.onnx.FunctionProto.decode(t,t.uint32()));break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.irVersion!=null&&t.hasOwnProperty("irVersion")&&!h.isInteger(t.irVersion)&&!(t.irVersion&&h.isInteger(t.irVersion.low)&&h.isInteger(t.irVersion.high)))return"irVersion: integer|Long expected";if(t.opsetImport!=null&&t.hasOwnProperty("opsetImport")){if(!Array.isArray(t.opsetImport))return"opsetImport: array expected";for(var r=0;r<t.opsetImport.length;++r){var n=p.onnx.OperatorSetIdProto.verify(t.opsetImport[r]);if(n)return"opsetImport."+n}}if(t.producerName!=null&&t.hasOwnProperty("producerName")&&!h.isString(t.producerName))return"producerName: string expected";if(t.producerVersion!=null&&t.hasOwnProperty("producerVersion")&&!h.isString(t.producerVersion))return"producerVersion: string expected";if(t.domain!=null&&t.hasOwnProperty("domain")&&!h.isString(t.domain))return"domain: string expected";if(t.modelVersion!=null&&t.hasOwnProperty("modelVersion")&&!h.isInteger(t.modelVersion)&&!(t.modelVersion&&h.isInteger(t.modelVersion.low)&&h.isInteger(t.modelVersion.high)))return"modelVersion: integer|Long expected";if(t.docString!=null&&t.hasOwnProperty("docString")&&!h.isString(t.docString))return"docString: string expected";if(t.graph!=null&&t.hasOwnProperty("graph")){var n=p.onnx.GraphProto.verify(t.graph);if(n)return"graph."+n}if(t.metadataProps!=null&&t.hasOwnProperty("metadataProps")){if(!Array.isArray(t.metadataProps))return"metadataProps: array expected";for(var r=0;r<t.metadataProps.length;++r){var n=p.onnx.StringStringEntryProto.verify(t.metadataProps[r]);if(n)return"metadataProps."+n}}if(t.trainingInfo!=null&&t.hasOwnProperty("trainingInfo")){if(!Array.isArray(t.trainingInfo))return"trainingInfo: array expected";for(var r=0;r<t.trainingInfo.length;++r){var n=p.onnx.TrainingInfoProto.verify(t.trainingInfo[r]);if(n)return"trainingInfo."+n}}if(t.functions!=null&&t.hasOwnProperty("functions")){if(!Array.isArray(t.functions))return"functions: array expected";for(var r=0;r<t.functions.length;++r){var n=p.onnx.FunctionProto.verify(t.functions[r]);if(n)return"functions."+n}}return null},e.fromObject=function(t){if(t instanceof p.onnx.ModelProto)return t;var r=new p.onnx.ModelProto;if(t.irVersion!=null&&(h.Long?(r.irVersion=h.Long.fromValue(t.irVersion)).unsigned=!1:typeof t.irVersion=="string"?r.irVersion=parseInt(t.irVersion,10):typeof t.irVersion=="number"?r.irVersion=t.irVersion:typeof t.irVersion=="object"&&(r.irVersion=new h.LongBits(t.irVersion.low>>>0,t.irVersion.high>>>0).toNumber())),t.opsetImport){if(!Array.isArray(t.opsetImport))throw TypeError(".onnx.ModelProto.opsetImport: array expected");r.opsetImport=[];for(var n=0;n<t.opsetImport.length;++n){if(typeof t.opsetImport[n]!="object")throw TypeError(".onnx.ModelProto.opsetImport: object expected");r.opsetImport[n]=p.onnx.OperatorSetIdProto.fromObject(t.opsetImport[n])}}if(t.producerName!=null&&(r.producerName=String(t.producerName)),t.producerVersion!=null&&(r.producerVersion=String(t.producerVersion)),t.domain!=null&&(r.domain=String(t.domain)),t.modelVersion!=null&&(h.Long?(r.modelVersion=h.Long.fromValue(t.modelVersion)).unsigned=!1:typeof t.modelVersion=="string"?r.modelVersion=parseInt(t.modelVersion,10):typeof t.modelVersion=="number"?r.modelVersion=t.modelVersion:typeof t.modelVersion=="object"&&(r.modelVersion=new h.LongBits(t.modelVersion.low>>>0,t.modelVersion.high>>>0).toNumber())),t.docString!=null&&(r.docString=String(t.docString)),t.graph!=null){if(typeof t.graph!="object")throw TypeError(".onnx.ModelProto.graph: object expected");r.graph=p.onnx.GraphProto.fromObject(t.graph)}if(t.metadataProps){if(!Array.isArray(t.metadataProps))throw TypeError(".onnx.ModelProto.metadataProps: array expected");r.metadataProps=[];for(var n=0;n<t.metadataProps.length;++n){if(typeof t.metadataProps[n]!="object")throw TypeError(".onnx.ModelProto.metadataProps: object expected");r.metadataProps[n]=p.onnx.StringStringEntryProto.fromObject(t.metadataProps[n])}}if(t.trainingInfo){if(!Array.isArray(t.trainingInfo))throw TypeError(".onnx.ModelProto.trainingInfo: array expected");r.trainingInfo=[];for(var n=0;n<t.trainingInfo.length;++n){if(typeof t.trainingInfo[n]!="object")throw TypeError(".onnx.ModelProto.trainingInfo: object expected");r.trainingInfo[n]=p.onnx.TrainingInfoProto.fromObject(t.trainingInfo[n])}}if(t.functions){if(!Array.isArray(t.functions))throw TypeError(".onnx.ModelProto.functions: array expected");r.functions=[];for(var n=0;n<t.functions.length;++n){if(typeof t.functions[n]!="object")throw TypeError(".onnx.ModelProto.functions: object expected");r.functions[n]=p.onnx.FunctionProto.fromObject(t.functions[n])}}return r},e.toObject=function(t,r){r||(r={});var n={};if((r.arrays||r.defaults)&&(n.opsetImport=[],n.metadataProps=[],n.trainingInfo=[],n.functions=[]),r.defaults){if(h.Long){var s=new h.Long(0,0,!1);n.irVersion=r.longs===String?s.toString():r.longs===Number?s.toNumber():s}else n.irVersion=r.longs===String?"0":0;if(n.producerName="",n.producerVersion="",n.domain="",h.Long){var s=new h.Long(0,0,!1);n.modelVersion=r.longs===String?s.toString():r.longs===Number?s.toNumber():s}else n.modelVersion=r.longs===String?"0":0;n.docString="",n.graph=null}if(t.irVersion!=null&&t.hasOwnProperty("irVersion")&&(typeof t.irVersion=="number"?n.irVersion=r.longs===String?String(t.irVersion):t.irVersion:n.irVersion=r.longs===String?h.Long.prototype.toString.call(t.irVersion):r.longs===Number?new h.LongBits(t.irVersion.low>>>0,t.irVersion.high>>>0).toNumber():t.irVersion),t.producerName!=null&&t.hasOwnProperty("producerName")&&(n.producerName=t.producerName),t.producerVersion!=null&&t.hasOwnProperty("producerVersion")&&(n.producerVersion=t.producerVersion),t.domain!=null&&t.hasOwnProperty("domain")&&(n.domain=t.domain),t.modelVersion!=null&&t.hasOwnProperty("modelVersion")&&(typeof t.modelVersion=="number"?n.modelVersion=r.longs===String?String(t.modelVersion):t.modelVersion:n.modelVersion=r.longs===String?h.Long.prototype.toString.call(t.modelVersion):r.longs===Number?new h.LongBits(t.modelVersion.low>>>0,t.modelVersion.high>>>0).toNumber():t.modelVersion),t.docString!=null&&t.hasOwnProperty("docString")&&(n.docString=t.docString),t.graph!=null&&t.hasOwnProperty("graph")&&(n.graph=p.onnx.GraphProto.toObject(t.graph,r)),t.opsetImport&&t.opsetImport.length){n.opsetImport=[];for(var a=0;a<t.opsetImport.length;++a)n.opsetImport[a]=p.onnx.OperatorSetIdProto.toObject(t.opsetImport[a],r)}if(t.metadataProps&&t.metadataProps.length){n.metadataProps=[];for(var a=0;a<t.metadataProps.length;++a)n.metadataProps[a]=p.onnx.StringStringEntryProto.toObject(t.metadataProps[a],r)}if(t.trainingInfo&&t.trainingInfo.length){n.trainingInfo=[];for(var a=0;a<t.trainingInfo.length;++a)n.trainingInfo[a]=p.onnx.TrainingInfoProto.toObject(t.trainingInfo[a],r)}if(t.functions&&t.functions.length){n.functions=[];for(var a=0;a<t.functions.length;++a)n.functions[a]=p.onnx.FunctionProto.toObject(t.functions[a],r)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.ModelProto"},e}(),i.StringStringEntryProto=function(){function e(o){if(o)for(var t=Object.keys(o),r=0;r<t.length;++r)o[t[r]]!=null&&(this[t[r]]=o[t[r]])}return e.prototype.key="",e.prototype.value="",e.create=function(t){return new e(t)},e.encode=function(t,r){return r||(r=J.create()),t.key!=null&&Object.hasOwnProperty.call(t,"key")&&r.uint32(10).string(t.key),t.value!=null&&Object.hasOwnProperty.call(t,"value")&&r.uint32(18).string(t.value),r},e.encodeDelimited=function(t,r){return this.encode(t,r).ldelim()},e.decode=function(t,r){t instanceof S||(t=S.create(t));for(var n=r===void 0?t.len:t.pos+r,s=new p.onnx.StringStringEntryProto;t.pos<n;){var a=t.uint32();switch(a>>>3){case 1:{s.key=t.string();break}case 2:{s.value=t.string();break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){return typeof t!="object"||t===null?"object expected":t.key!=null&&t.hasOwnProperty("key")&&!h.isString(t.key)?"key: string expected":t.value!=null&&t.hasOwnProperty("value")&&!h.isString(t.value)?"value: string expected":null},e.fromObject=function(t){if(t instanceof p.onnx.StringStringEntryProto)return t;var r=new p.onnx.StringStringEntryProto;return t.key!=null&&(r.key=String(t.key)),t.value!=null&&(r.value=String(t.value)),r},e.toObject=function(t,r){r||(r={});var n={};return r.defaults&&(n.key="",n.value=""),t.key!=null&&t.hasOwnProperty("key")&&(n.key=t.key),t.value!=null&&t.hasOwnProperty("value")&&(n.value=t.value),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.StringStringEntryProto"},e}(),i.TensorAnnotation=function(){function e(o){if(this.quantParameterTensorNames=[],o)for(var t=Object.keys(o),r=0;r<t.length;++r)o[t[r]]!=null&&(this[t[r]]=o[t[r]])}return e.prototype.tensorName="",e.prototype.quantParameterTensorNames=h.emptyArray,e.create=function(t){return new e(t)},e.encode=function(t,r){if(r||(r=J.create()),t.tensorName!=null&&Object.hasOwnProperty.call(t,"tensorName")&&r.uint32(10).string(t.tensorName),t.quantParameterTensorNames!=null&&t.quantParameterTensorNames.length)for(var n=0;n<t.quantParameterTensorNames.length;++n)p.onnx.StringStringEntryProto.encode(t.quantParameterTensorNames[n],r.uint32(18).fork()).ldelim();return r},e.encodeDelimited=function(t,r){return this.encode(t,r).ldelim()},e.decode=function(t,r){t instanceof S||(t=S.create(t));for(var n=r===void 0?t.len:t.pos+r,s=new p.onnx.TensorAnnotation;t.pos<n;){var a=t.uint32();switch(a>>>3){case 1:{s.tensorName=t.string();break}case 2:{s.quantParameterTensorNames&&s.quantParameterTensorNames.length||(s.quantParameterTensorNames=[]),s.quantParameterTensorNames.push(p.onnx.StringStringEntryProto.decode(t,t.uint32()));break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.tensorName!=null&&t.hasOwnProperty("tensorName")&&!h.isString(t.tensorName))return"tensorName: string expected";if(t.quantParameterTensorNames!=null&&t.hasOwnProperty("quantParameterTensorNames")){if(!Array.isArray(t.quantParameterTensorNames))return"quantParameterTensorNames: array expected";for(var r=0;r<t.quantParameterTensorNames.length;++r){var n=p.onnx.StringStringEntryProto.verify(t.quantParameterTensorNames[r]);if(n)return"quantParameterTensorNames."+n}}return null},e.fromObject=function(t){if(t instanceof p.onnx.TensorAnnotation)return t;var r=new p.onnx.TensorAnnotation;if(t.tensorName!=null&&(r.tensorName=String(t.tensorName)),t.quantParameterTensorNames){if(!Array.isArray(t.quantParameterTensorNames))throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: array expected");r.quantParameterTensorNames=[];for(var n=0;n<t.quantParameterTensorNames.length;++n){if(typeof t.quantParameterTensorNames[n]!="object")throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: object expected");r.quantParameterTensorNames[n]=p.onnx.StringStringEntryProto.fromObject(t.quantParameterTensorNames[n])}}return r},e.toObject=function(t,r){r||(r={});var n={};if((r.arrays||r.defaults)&&(n.quantParameterTensorNames=[]),r.defaults&&(n.tensorName=""),t.tensorName!=null&&t.hasOwnProperty("tensorName")&&(n.tensorName=t.tensorName),t.quantParameterTensorNames&&t.quantParameterTensorNames.length){n.quantParameterTensorNames=[];for(var s=0;s<t.quantParameterTensorNames.length;++s)n.quantParameterTensorNames[s]=p.onnx.StringStringEntryProto.toObject(t.quantParameterTensorNames[s],r)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.TensorAnnotation"},e}(),i.GraphProto=function(){function e(o){if(this.node=[],this.initializer=[],this.sparseInitializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],o)for(var t=Object.keys(o),r=0;r<t.length;++r)o[t[r]]!=null&&(this[t[r]]=o[t[r]])}return e.prototype.node=h.emptyArray,e.prototype.name="",e.prototype.initializer=h.emptyArray,e.prototype.sparseInitializer=h.emptyArray,e.prototype.docString="",e.prototype.input=h.emptyArray,e.prototype.output=h.emptyArray,e.prototype.valueInfo=h.emptyArray,e.prototype.quantizationAnnotation=h.emptyArray,e.create=function(t){return new e(t)},e.encode=function(t,r){if(r||(r=J.create()),t.node!=null&&t.node.length)for(var n=0;n<t.node.length;++n)p.onnx.NodeProto.encode(t.node[n],r.uint32(10).fork()).ldelim();if(t.name!=null&&Object.hasOwnProperty.call(t,"name")&&r.uint32(18).string(t.name),t.initializer!=null&&t.initializer.length)for(var n=0;n<t.initializer.length;++n)p.onnx.TensorProto.encode(t.initializer[n],r.uint32(42).fork()).ldelim();if(t.docString!=null&&Object.hasOwnProperty.call(t,"docString")&&r.uint32(82).string(t.docString),t.input!=null&&t.input.length)for(var n=0;n<t.input.length;++n)p.onnx.ValueInfoProto.encode(t.input[n],r.uint32(90).fork()).ldelim();if(t.output!=null&&t.output.length)for(var n=0;n<t.output.length;++n)p.onnx.ValueInfoProto.encode(t.output[n],r.uint32(98).fork()).ldelim();if(t.valueInfo!=null&&t.valueInfo.length)for(var n=0;n<t.valueInfo.length;++n)p.onnx.ValueInfoProto.encode(t.valueInfo[n],r.uint32(106).fork()).ldelim();if(t.quantizationAnnotation!=null&&t.quantizationAnnotation.length)for(var n=0;n<t.quantizationAnnotation.length;++n)p.onnx.TensorAnnotation.encode(t.quantizationAnnotation[n],r.uint32(114).fork()).ldelim();if(t.sparseInitializer!=null&&t.sparseInitializer.length)for(var n=0;n<t.sparseInitializer.length;++n)p.onnx.SparseTensorProto.encode(t.sparseInitializer[n],r.uint32(122).fork()).ldelim();return r},e.encodeDelimited=function(t,r){return this.encode(t,r).ldelim()},e.decode=function(t,r){t instanceof S||(t=S.create(t));for(var n=r===void 0?t.len:t.pos+r,s=new p.onnx.GraphProto;t.pos<n;){var a=t.uint32();switch(a>>>3){case 1:{s.node&&s.node.length||(s.node=[]),s.node.push(p.onnx.NodeProto.decode(t,t.uint32()));break}case 2:{s.name=t.string();break}case 5:{s.initializer&&s.initializer.length||(s.initializer=[]),s.initializer.push(p.onnx.TensorProto.decode(t,t.uint32()));break}case 15:{s.sparseInitializer&&s.sparseInitializer.length||(s.sparseInitializer=[]),s.sparseInitializer.push(p.onnx.SparseTensorProto.decode(t,t.uint32()));break}case 10:{s.docString=t.string();break}case 11:{s.input&&s.input.length||(s.input=[]),s.input.push(p.onnx.ValueInfoProto.decode(t,t.uint32()));break}case 12:{s.output&&s.output.length||(s.output=[]),s.output.push(p.onnx.ValueInfoProto.decode(t,t.uint32()));break}case 13:{s.valueInfo&&s.valueInfo.length||(s.valueInfo=[]),s.valueInfo.push(p.onnx.ValueInfoProto.decode(t,t.uint32()));break}case 14:{s.quantizationAnnotation&&s.quantizationAnnotation.length||(s.quantizationAnnotation=[]),s.quantizationAnnotation.push(p.onnx.TensorAnnotation.decode(t,t.uint32()));break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.node!=null&&t.hasOwnProperty("node")){if(!Array.isArray(t.node))return"node: array expected";for(var r=0;r<t.node.length;++r){var n=p.onnx.NodeProto.verify(t.node[r]);if(n)return"node."+n}}if(t.name!=null&&t.hasOwnProperty("name")&&!h.isString(t.name))return"name: string expected";if(t.initializer!=null&&t.hasOwnProperty("initializer")){if(!Array.isArray(t.initializer))return"initializer: array expected";for(var r=0;r<t.initializer.length;++r){var n=p.onnx.TensorProto.verify(t.initializer[r]);if(n)return"initializer."+n}}if(t.sparseInitializer!=null&&t.hasOwnProperty("sparseInitializer")){if(!Array.isArray(t.sparseInitializer))return"sparseInitializer: array expected";for(var r=0;r<t.sparseInitializer.length;++r){var n=p.onnx.SparseTensorProto.verify(t.sparseInitializer[r]);if(n)return"sparseInitializer."+n}}if(t.docString!=null&&t.hasOwnProperty("docString")&&!h.isString(t.docString))return"docString: string expected";if(t.input!=null&&t.hasOwnProperty("input")){if(!Array.isArray(t.input))return"input: array expected";for(var r=0;r<t.input.length;++r){var n=p.onnx.ValueInfoProto.verify(t.input[r]);if(n)return"input."+n}}if(t.output!=null&&t.hasOwnProperty("output")){if(!Array.isArray(t.output))return"output: array expected";for(var r=0;r<t.output.length;++r){var n=p.onnx.ValueInfoProto.verify(t.output[r]);if(n)return"output."+n}}if(t.valueInfo!=null&&t.hasOwnProperty("valueInfo")){if(!Array.isArray(t.valueInfo))return"valueInfo: array expected";for(var r=0;r<t.valueInfo.length;++r){var n=p.onnx.ValueInfoProto.verify(t.valueInfo[r]);if(n)return"valueInfo."+n}}if(t.quantizationAnnotation!=null&&t.hasOwnProperty("quantizationAnnotation")){if(!Array.isArray(t.quantizationAnnotation))return"quantizationAnnotation: array expected";for(var r=0;r<t.quantizationAnnotation.length;++r){var n=p.onnx.TensorAnnotation.verify(t.quantizationAnnotation[r]);if(n)return"quantizationAnnotation."+n}}return null},e.fromObject=function(t){if(t instanceof p.onnx.GraphProto)return t;var r=new p.onnx.GraphProto;if(t.node){if(!Array.isArray(t.node))throw TypeError(".onnx.GraphProto.node: array expected");r.node=[];for(var n=0;n<t.node.length;++n){if(typeof t.node[n]!="object")throw TypeError(".onnx.GraphProto.node: object expected");r.node[n]=p.onnx.NodeProto.fromObject(t.node[n])}}if(t.name!=null&&(r.name=String(t.name)),t.initializer){if(!Array.isArray(t.initializer))throw TypeError(".onnx.GraphProto.initializer: array expected");r.initializer=[];for(var n=0;n<t.initializer.length;++n){if(typeof t.initializer[n]!="object")throw TypeError(".onnx.GraphProto.initializer: object expected");r.initializer[n]=p.onnx.TensorProto.fromObject(t.initializer[n])}}if(t.sparseInitializer){if(!Array.isArray(t.sparseInitializer))throw TypeError(".onnx.GraphProto.sparseInitializer: array expected");r.sparseInitializer=[];for(var n=0;n<t.sparseInitializer.length;++n){if(typeof t.sparseInitializer[n]!="object")throw TypeError(".onnx.GraphProto.sparseInitializer: object expected");r.sparseInitializer[n]=p.onnx.SparseTensorProto.fromObject(t.sparseInitializer[n])}}if(t.docString!=null&&(r.docString=String(t.docString)),t.input){if(!Array.isArray(t.input))throw TypeError(".onnx.GraphProto.input: array expected");r.input=[];for(var n=0;n<t.input.length;++n){if(typeof t.input[n]!="object")throw TypeError(".onnx.GraphProto.input: object expected");r.input[n]=p.onnx.ValueInfoProto.fromObject(t.input[n])}}if(t.output){if(!Array.isArray(t.output))throw TypeError(".onnx.GraphProto.output: array expected");r.output=[];for(var n=0;n<t.output.length;++n){if(typeof t.output[n]!="object")throw TypeError(".onnx.GraphProto.output: object expected");r.output[n]=p.onnx.ValueInfoProto.fromObject(t.output[n])}}if(t.valueInfo){if(!Array.isArray(t.valueInfo))throw TypeError(".onnx.GraphProto.valueInfo: array expected");r.valueInfo=[];for(var n=0;n<t.valueInfo.length;++n){if(typeof t.valueInfo[n]!="object")throw TypeError(".onnx.GraphProto.valueInfo: object expected");r.valueInfo[n]=p.onnx.ValueInfoProto.fromObject(t.valueInfo[n])}}if(t.quantizationAnnotation){if(!Array.isArray(t.quantizationAnnotation))throw TypeError(".onnx.GraphProto.quantizationAnnotation: array expected");r.quantizationAnnotation=[];for(var n=0;n<t.quantizationAnnotation.length;++n){if(typeof t.quantizationAnnotation[n]!="object")throw TypeError(".onnx.GraphProto.quantizationAnnotation: object expected");r.quantizationAnnotation[n]=p.onnx.TensorAnnotation.fromObject(t.quantizationAnnotation[n])}}return r},e.toObject=function(t,r){r||(r={});var n={};if((r.arrays||r.defaults)&&(n.node=[],n.initializer=[],n.input=[],n.output=[],n.valueInfo=[],n.quantizationAnnotation=[],n.sparseInitializer=[]),r.defaults&&(n.name="",n.docString=""),t.node&&t.node.length){n.node=[];for(var s=0;s<t.node.length;++s)n.node[s]=p.onnx.NodeProto.toObject(t.node[s],r)}if(t.name!=null&&t.hasOwnProperty("name")&&(n.name=t.name),t.initializer&&t.initializer.length){n.initializer=[];for(var s=0;s<t.initializer.length;++s)n.initializer[s]=p.onnx.TensorProto.toObject(t.initializer[s],r)}if(t.docString!=null&&t.hasOwnProperty("docString")&&(n.docString=t.docString),t.input&&t.input.length){n.input=[];for(var s=0;s<t.input.length;++s)n.input[s]=p.onnx.ValueInfoProto.toObject(t.input[s],r)}if(t.output&&t.output.length){n.output=[];for(var s=0;s<t.output.length;++s)n.output[s]=p.onnx.ValueInfoProto.toObject(t.output[s],r)}if(t.valueInfo&&t.valueInfo.length){n.valueInfo=[];for(var s=0;s<t.valueInfo.length;++s)n.valueInfo[s]=p.onnx.ValueInfoProto.toObject(t.valueInfo[s],r)}if(t.quantizationAnnotation&&t.quantizationAnnotation.length){n.quantizationAnnotation=[];for(var s=0;s<t.quantizationAnnotation.length;++s)n.quantizationAnnotation[s]=p.onnx.TensorAnnotation.toObject(t.quantizationAnnotation[s],r)}if(t.sparseInitializer&&t.sparseInitializer.length){n.sparseInitializer=[];for(var s=0;s<t.sparseInitializer.length;++s)n.sparseInitializer[s]=p.onnx.SparseTensorProto.toObject(t.sparseInitializer[s],r)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.GraphProto"},e}(),i.TensorProto=function(){function e(o){if(this.dims=[],this.floatData=[],this.int32Data=[],this.stringData=[],this.int64Data=[],this.externalData=[],this.doubleData=[],this.uint64Data=[],o)for(var t=Object.keys(o),r=0;r<t.length;++r)o[t[r]]!=null&&(this[t[r]]=o[t[r]])}return e.prototype.dims=h.emptyArray,e.prototype.dataType=0,e.prototype.segment=null,e.prototype.floatData=h.emptyArray,e.prototype.int32Data=h.emptyArray,e.prototype.stringData=h.emptyArray,e.prototype.int64Data=h.emptyArray,e.prototype.name="",e.prototype.docString="",e.prototype.rawData=h.newBuffer([]),e.prototype.externalData=h.emptyArray,e.prototype.dataLocation=0,e.prototype.doubleData=h.emptyArray,e.prototype.uint64Data=h.emptyArray,e.create=function(t){return new e(t)},e.encode=function(t,r){if(r||(r=J.create()),t.dims!=null&&t.dims.length){r.uint32(10).fork();for(var n=0;n<t.dims.length;++n)r.int64(t.dims[n]);r.ldelim()}if(t.dataType!=null&&Object.hasOwnProperty.call(t,"dataType")&&r.uint32(16).int32(t.dataType),t.segment!=null&&Object.hasOwnProperty.call(t,"segment")&&p.onnx.TensorProto.Segment.encode(t.segment,r.uint32(26).fork()).ldelim(),t.floatData!=null&&t.floatData.length){r.uint32(34).fork();for(var n=0;n<t.floatData.length;++n)r.float(t.floatData[n]);r.ldelim()}if(t.int32Data!=null&&t.int32Data.length){r.uint32(42).fork();for(var n=0;n<t.int32Data.length;++n)r.int32(t.int32Data[n]);r.ldelim()}if(t.stringData!=null&&t.stringData.length)for(var n=0;n<t.stringData.length;++n)r.uint32(50).bytes(t.stringData[n]);if(t.int64Data!=null&&t.int64Data.length){r.uint32(58).fork();for(var n=0;n<t.int64Data.length;++n)r.int64(t.int64Data[n]);r.ldelim()}if(t.name!=null&&Object.hasOwnProperty.call(t,"name")&&r.uint32(66).string(t.name),t.rawData!=null&&Object.hasOwnProperty.call(t,"rawData")&&r.uint32(74).bytes(t.rawData),t.doubleData!=null&&t.doubleData.length){r.uint32(82).fork();for(var n=0;n<t.doubleData.length;++n)r.double(t.doubleData[n]);r.ldelim()}if(t.uint64Data!=null&&t.uint64Data.length){r.uint32(90).fork();for(var n=0;n<t.uint64Data.length;++n)r.uint64(t.uint64Data[n]);r.ldelim()}if(t.docString!=null&&Object.hasOwnProperty.call(t,"docString")&&r.uint32(98).string(t.docString),t.externalData!=null&&t.externalData.length)for(var n=0;n<t.externalData.length;++n)p.onnx.StringStringEntryProto.encode(t.externalData[n],r.uint32(106).fork()).ldelim();return t.dataLocation!=null&&Object.hasOwnProperty.call(t,"dataLocation")&&r.uint32(112).int32(t.dataLocation),r},e.encodeDelimited=function(t,r){return this.encode(t,r).ldelim()},e.decode=function(t,r){t instanceof S||(t=S.create(t));for(var n=r===void 0?t.len:t.pos+r,s=new p.onnx.TensorProto;t.pos<n;){var a=t.uint32();switch(a>>>3){case 1:{if(s.dims&&s.dims.length||(s.dims=[]),(a&7)===2)for(var u=t.uint32()+t.pos;t.pos<u;)s.dims.push(t.int64());else s.dims.push(t.int64());break}case 2:{s.dataType=t.int32();break}case 3:{s.segment=p.onnx.TensorProto.Segment.decode(t,t.uint32());break}case 4:{if(s.floatData&&s.floatData.length||(s.floatData=[]),(a&7)===2)for(var u=t.uint32()+t.pos;t.pos<u;)s.floatData.push(t.float());else s.floatData.push(t.float());break}case 5:{if(s.int32Data&&s.int32Data.length||(s.int32Data=[]),(a&7)===2)for(var u=t.uint32()+t.pos;t.pos<u;)s.int32Data.push(t.int32());else s.int32Data.push(t.int32());break}case 6:{s.stringData&&s.stringData.length||(s.stringData=[]),s.stringData.push(t.bytes());break}case 7:{if(s.int64Data&&s.int64Data.length||(s.int64Data=[]),(a&7)===2)for(var u=t.uint32()+t.pos;t.pos<u;)s.int64Data.push(t.int64());else s.int64Data.push(t.int64());break}case 8:{s.name=t.string();break}case 12:{s.docString=t.string();break}case 9:{s.rawData=t.bytes();break}case 13:{s.externalData&&s.externalData.length||(s.externalData=[]),s.externalData.push(p.onnx.StringStringEntryProto.decode(t,t.uint32()));break}case 14:{s.dataLocation=t.int32();break}case 10:{if(s.doubleData&&s.doubleData.length||(s.doubleData=[]),(a&7)===2)for(var u=t.uint32()+t.pos;t.pos<u;)s.doubleData.push(t.double());else s.doubleData.push(t.double());break}case 11:{if(s.uint64Data&&s.uint64Data.length||(s.uint64Data=[]),(a&7)===2)for(var u=t.uint32()+t.pos;t.pos<u;)s.uint64Data.push(t.uint64());else s.uint64Data.push(t.uint64());break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.dims!=null&&t.hasOwnProperty("dims")){if(!Array.isArray(t.dims))return"dims: array expected";for(var r=0;r<t.dims.length;++r)if(!h.isInteger(t.dims[r])&&!(t.dims[r]&&h.isInteger(t.dims[r].low)&&h.isInteger(t.dims[r].high)))return"dims: integer|Long[] expected"}if(t.dataType!=null&&t.hasOwnProperty("dataType")&&!h.isInteger(t.dataType))return"dataType: integer expected";if(t.segment!=null&&t.hasOwnProperty("segment")){var n=p.onnx.TensorProto.Segment.verify(t.segment);if(n)return"segment."+n}if(t.floatData!=null&&t.hasOwnProperty("floatData")){if(!Array.isArray(t.floatData))return"floatData: array expected";for(var r=0;r<t.floatData.length;++r)if(typeof t.floatData[r]!="number")return"floatData: number[] expected"}if(t.int32Data!=null&&t.hasOwnProperty("int32Data")){if(!Array.isArray(t.int32Data))return"int32Data: array expected";for(var r=0;r<t.int32Data.length;++r)if(!h.isInteger(t.int32Data[r]))return"int32Data: integer[] expected"}if(t.stringData!=null&&t.hasOwnProperty("stringData")){if(!Array.isArray(t.stringData))return"stringData: array expected";for(var r=0;r<t.stringData.length;++r)if(!(t.stringData[r]&&typeof t.stringData[r].length=="number"||h.isString(t.stringData[r])))return"stringData: buffer[] expected"}if(t.int64Data!=null&&t.hasOwnProperty("int64Data")){if(!Array.isArray(t.int64Data))return"int64Data: array expected";for(var r=0;r<t.int64Data.length;++r)if(!h.isInteger(t.int64Data[r])&&!(t.int64Data[r]&&h.isInteger(t.int64Data[r].low)&&h.isInteger(t.int64Data[r].high)))return"int64Data: integer|Long[] expected"}if(t.name!=null&&t.hasOwnProperty("name")&&!h.isString(t.name))return"name: string expected";if(t.docString!=null&&t.hasOwnProperty("docString")&&!h.isString(t.docString))return"docString: string expected";if(t.rawData!=null&&t.hasOwnProperty("rawData")&&!(t.rawData&&typeof t.rawData.length=="number"||h.isString(t.rawData)))return"rawData: buffer expected";if(t.externalData!=null&&t.hasOwnProperty("externalData")){if(!Array.isArray(t.externalData))return"externalData: array expected";for(var r=0;r<t.externalData.length;++r){var n=p.onnx.StringStringEntryProto.verify(t.externalData[r]);if(n)return"externalData."+n}}if(t.dataLocation!=null&&t.hasOwnProperty("dataLocation"))switch(t.dataLocation){default:return"dataLocation: enum value expected";case 0:case 1:break}if(t.doubleData!=null&&t.hasOwnProperty("doubleData")){if(!Array.isArray(t.doubleData))return"doubleData: array expected";for(var r=0;r<t.doubleData.length;++r)if(typeof t.doubleData[r]!="number")return"doubleData: number[] expected"}if(t.uint64Data!=null&&t.hasOwnProperty("uint64Data")){if(!Array.isArray(t.uint64Data))return"uint64Data: array expected";for(var r=0;r<t.uint64Data.length;++r)if(!h.isInteger(t.uint64Data[r])&&!(t.uint64Data[r]&&h.isInteger(t.uint64Data[r].low)&&h.isInteger(t.uint64Data[r].high)))return"uint64Data: integer|Long[] expected"}return null},e.fromObject=function(t){if(t instanceof p.onnx.TensorProto)return t;var r=new p.onnx.TensorProto;if(t.dims){if(!Array.isArray(t.dims))throw TypeError(".onnx.TensorProto.dims: array expected");r.dims=[];for(var n=0;n<t.dims.length;++n)h.Long?(r.dims[n]=h.Long.fromValue(t.dims[n])).unsigned=!1:typeof t.dims[n]=="string"?r.dims[n]=parseInt(t.dims[n],10):typeof t.dims[n]=="number"?r.dims[n]=t.dims[n]:typeof 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s={};if(n.dimValue!=null&&n.hasOwnProperty("dimValue")&&(s.value=1,!h.isInteger(n.dimValue)&&!(n.dimValue&&h.isInteger(n.dimValue.low)&&h.isInteger(n.dimValue.high))))return"dimValue: integer|Long expected";if(n.dimParam!=null&&n.hasOwnProperty("dimParam")){if(s.value===1)return"value: multiple values";if(s.value=1,!h.isString(n.dimParam))return"dimParam: string expected"}return n.denotation!=null&&n.hasOwnProperty("denotation")&&!h.isString(n.denotation)?"denotation: string expected":null},o.fromObject=function(n){if(n instanceof p.onnx.TensorShapeProto.Dimension)return n;var s=new p.onnx.TensorShapeProto.Dimension;return n.dimValue!=null&&(h.Long?(s.dimValue=h.Long.fromValue(n.dimValue)).unsigned=!1:typeof n.dimValue=="string"?s.dimValue=parseInt(n.dimValue,10):typeof n.dimValue=="number"?s.dimValue=n.dimValue:typeof n.dimValue=="object"&&(s.dimValue=new 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s.defaults&&(a.elemType=0,a.shape=null),n.elemType!=null&&n.hasOwnProperty("elemType")&&(a.elemType=n.elemType),n.shape!=null&&n.hasOwnProperty("shape")&&(a.shape=p.onnx.TensorShapeProto.toObject(n.shape,s)),a},t.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},t.getTypeUrl=function(n){return n===void 0&&(n="type.googleapis.com"),n+"/onnx.TypeProto.Tensor"},t}(),e.Sequence=function(){function t(r){if(r)for(var n=Object.keys(r),s=0;s<n.length;++s)r[n[s]]!=null&&(this[n[s]]=r[n[s]])}return t.prototype.elemType=null,t.create=function(n){return new t(n)},t.encode=function(n,s){return s||(s=J.create()),n.elemType!=null&&Object.hasOwnProperty.call(n,"elemType")&&p.onnx.TypeProto.encode(n.elemType,s.uint32(10).fork()).ldelim(),s},t.encodeDelimited=function(n,s){return this.encode(n,s).ldelim()},t.decode=function(n,s){n instanceof S||(n=S.create(n));for(var a=s===void 0?n.len:n.pos+s,u=new p.onnx.TypeProto.Sequence;n.pos<a;){var 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o[e[0]="EXPERIMENTAL"]=0,o[e[1]="STABLE"]=1,o}(),i.FunctionProto=function(){function e(o){if(this.input=[],this.output=[],this.attribute=[],this.attributeProto=[],this.node=[],this.opsetImport=[],o)for(var t=Object.keys(o),r=0;r<t.length;++r)o[t[r]]!=null&&(this[t[r]]=o[t[r]])}return e.prototype.name="",e.prototype.input=h.emptyArray,e.prototype.output=h.emptyArray,e.prototype.attribute=h.emptyArray,e.prototype.attributeProto=h.emptyArray,e.prototype.node=h.emptyArray,e.prototype.docString="",e.prototype.opsetImport=h.emptyArray,e.prototype.domain="",e.create=function(t){return new e(t)},e.encode=function(t,r){if(r||(r=J.create()),t.name!=null&&Object.hasOwnProperty.call(t,"name")&&r.uint32(10).string(t.name),t.input!=null&&t.input.length)for(var n=0;n<t.input.length;++n)r.uint32(34).string(t.input[n]);if(t.output!=null&&t.output.length)for(var n=0;n<t.output.length;++n)r.uint32(42).string(t.output[n]);if(t.attribute!=null&&t.attribute.length)for(var 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4:{s.input&&s.input.length||(s.input=[]),s.input.push(t.string());break}case 5:{s.output&&s.output.length||(s.output=[]),s.output.push(t.string());break}case 6:{s.attribute&&s.attribute.length||(s.attribute=[]),s.attribute.push(t.string());break}case 11:{s.attributeProto&&s.attributeProto.length||(s.attributeProto=[]),s.attributeProto.push(p.onnx.AttributeProto.decode(t,t.uint32()));break}case 7:{s.node&&s.node.length||(s.node=[]),s.node.push(p.onnx.NodeProto.decode(t,t.uint32()));break}case 8:{s.docString=t.string();break}case 9:{s.opsetImport&&s.opsetImport.length||(s.opsetImport=[]),s.opsetImport.push(p.onnx.OperatorSetIdProto.decode(t,t.uint32()));break}case 10:{s.domain=t.string();break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.name!=null&&t.hasOwnProperty("name")&&!h.isString(t.name))return"name: string expected";if(t.input!=null&&t.hasOwnProperty("input")){if(!Array.isArray(t.input))return"input: array expected";for(var r=0;r<t.input.length;++r)if(!h.isString(t.input[r]))return"input: string[] expected"}if(t.output!=null&&t.hasOwnProperty("output")){if(!Array.isArray(t.output))return"output: array expected";for(var r=0;r<t.output.length;++r)if(!h.isString(t.output[r]))return"output: string[] expected"}if(t.attribute!=null&&t.hasOwnProperty("attribute")){if(!Array.isArray(t.attribute))return"attribute: array expected";for(var r=0;r<t.attribute.length;++r)if(!h.isString(t.attribute[r]))return"attribute: string[] expected"}if(t.attributeProto!=null&&t.hasOwnProperty("attributeProto")){if(!Array.isArray(t.attributeProto))return"attributeProto: array expected";for(var r=0;r<t.attributeProto.length;++r){var n=p.onnx.AttributeProto.verify(t.attributeProto[r]);if(n)return"attributeProto."+n}}if(t.node!=null&&t.hasOwnProperty("node")){if(!Array.isArray(t.node))return"node: array expected";for(var r=0;r<t.node.length;++r){var n=p.onnx.NodeProto.verify(t.node[r]);if(n)return"node."+n}}if(t.docString!=null&&t.hasOwnProperty("docString")&&!h.isString(t.docString))return"docString: string expected";if(t.opsetImport!=null&&t.hasOwnProperty("opsetImport")){if(!Array.isArray(t.opsetImport))return"opsetImport: array expected";for(var r=0;r<t.opsetImport.length;++r){var n=p.onnx.OperatorSetIdProto.verify(t.opsetImport[r]);if(n)return"opsetImport."+n}}return t.domain!=null&&t.hasOwnProperty("domain")&&!h.isString(t.domain)?"domain: string expected":null},e.fromObject=function(t){if(t instanceof p.onnx.FunctionProto)return t;var r=new p.onnx.FunctionProto;if(t.name!=null&&(r.name=String(t.name)),t.input){if(!Array.isArray(t.input))throw TypeError(".onnx.FunctionProto.input: array expected");r.input=[];for(var n=0;n<t.input.length;++n)r.input[n]=String(t.input[n])}if(t.output){if(!Array.isArray(t.output))throw TypeError(".onnx.FunctionProto.output: array expected");r.output=[];for(var n=0;n<t.output.length;++n)r.output[n]=String(t.output[n])}if(t.attribute){if(!Array.isArray(t.attribute))throw TypeError(".onnx.FunctionProto.attribute: array expected");r.attribute=[];for(var n=0;n<t.attribute.length;++n)r.attribute[n]=String(t.attribute[n])}if(t.attributeProto){if(!Array.isArray(t.attributeProto))throw TypeError(".onnx.FunctionProto.attributeProto: array expected");r.attributeProto=[];for(var n=0;n<t.attributeProto.length;++n){if(typeof t.attributeProto[n]!="object")throw TypeError(".onnx.FunctionProto.attributeProto: object expected");r.attributeProto[n]=p.onnx.AttributeProto.fromObject(t.attributeProto[n])}}if(t.node){if(!Array.isArray(t.node))throw TypeError(".onnx.FunctionProto.node: array expected");r.node=[];for(var n=0;n<t.node.length;++n){if(typeof t.node[n]!="object")throw TypeError(".onnx.FunctionProto.node: object 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s=0;s<t.output.length;++s)n.output[s]=t.output[s]}if(t.attribute&&t.attribute.length){n.attribute=[];for(var s=0;s<t.attribute.length;++s)n.attribute[s]=t.attribute[s]}if(t.node&&t.node.length){n.node=[];for(var s=0;s<t.node.length;++s)n.node[s]=p.onnx.NodeProto.toObject(t.node[s],r)}if(t.docString!=null&&t.hasOwnProperty("docString")&&(n.docString=t.docString),t.opsetImport&&t.opsetImport.length){n.opsetImport=[];for(var s=0;s<t.opsetImport.length;++s)n.opsetImport[s]=p.onnx.OperatorSetIdProto.toObject(t.opsetImport[s],r)}if(t.domain!=null&&t.hasOwnProperty("domain")&&(n.domain=t.domain),t.attributeProto&&t.attributeProto.length){n.attributeProto=[];for(var s=0;s<t.attributeProto.length;++s)n.attributeProto[s]=p.onnx.AttributeProto.toObject(t.attributeProto[s],r)}return n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.FunctionProto"},e}(),i}();ja.exports=p});function $e(i,e){if(!i)throw new Error(typeof e=="string"?e:e())}function Ze(i){return new TextDecoder().decode(i)}var j,pe,oo,dt,Nr,ut,xt,A,Je,de,he,me,U=x(()=>{"use strict";Lr();Wn();j=Oe(Le());be();pe=class{static arraysEqual(e,o){if(e.length!==o.length)return!1;for(let t=0;t<e.length;t++)if(e[t]!==o[t])return!1;return!0}},oo=class{static preprocessInputShapes(e,o){let t=e.length===1?[1,e[0]]:e,r=o.length===1?[o[0],1]:o;return[t,r]}static postprocessOutputShape(e,o,t){o===1&&e.splice(e.length-2,1),t===1&&e.pop()}static calcMatMulShape(e,o){return e[1]!==o[0]?void 0:[e[0],o[1]]}},dt=class i{static calcShape(e,o,t=!1){let r=e.length,n=o.length;if(r===0)return o;if(n===0)return e;let s=Math.max(e.length,o.length),a=new Array(s);if(t){if(r<2||n<2)return;let u=oo.calcMatMulShape([e[r-2],e[r-1]],[o[n-2],o[n-1]]);if(u===void 0)return;[a[s-2],a[s-1]]=u}for(let u=t?3:1;u<=s;u++){let l=r-u<0?1:e[r-u],f=n-u<0?1:o[n-u];if(l!==f&&l>1&&f>1)return;a[s-u]=Math.max(l,f)}return a}static index(e,o){let t=new Array(o.length);return i.fillIndex(e,o,t),t}static fillIndex(e,o,t){let r=e.length-o.length;for(let n=0;n<o.length;n++)t[n]=e[r+n]%o[n]}static calc(e,o,t,r,n){let s=i.calcShape(e.dims,o.dims);if(s){if(r&&!A.areEqual(s,e.dims))return;let a=A.size(s),u=r?e:new et(s,n||e.type);if(s.length===0)u.set([],t(e.get([]),o.get([])));else{let l=new Array(s.length),f=new Array(e.dims.length),c=new Array(o.dims.length),d=0,m=0,y=!1,g=!1;e.dims.length===0&&(d=e.get([]),y=!0),o.dims.length===0&&(m=o.get([]),g=!0);let T;for(let _=0;_<a;_++){T=_;for(let w=s.length-1;w>=0;w--)l[w]=T%s[w],T=Math.floor(T/s[w]);y||(i.fillIndex(l,e.dims,f),d=e.get(f)),g||(i.fillIndex(l,o.dims,c),m=o.get(c)),u.set(l,t(d,m))}}return u}}static isValidBroadcast(e,o){let t=e.length,r=o.length;if(t>r)return!1;for(let n=1;n<=t;n++)if(e[t-n]!==1&&e[t-n]!==o[r-n])return!1;return!0}static getBroadcastDims(e,o){let t=e.length,r=[];for(let n=0;n<t;n++){let s=t-1-n,a=e[s]||1;(o[o.length-1-n]||1)>1&&a===1&&r.unshift(s)}return r}},Nr=class{static getShapeOfGemmResult(e,o,t,r,n){if(e.length!==2||t.length!==2)throw new Error("shape need to be of size 2");let s,a,u;o?(s=e[1],a=e[0]):(s=e[0],a=e[1]);let l=-1;if(r?(u=t[0],l=1):(u=t[1],l=0),t[l]!==a)throw new Error("dimension mismatch");if(s<=0||u<=0||a<=0)throw new Error("invalid shape specified");if(n&&!dt.isValidBroadcast(n,[s,u]))throw new Error("gemm: invalid bias shape for broadcast");return[s,u,a]}},ut=class i{static tensorDataTypeFromProto(e){switch(e){case j.onnx.TensorProto.DataType.INT8:return"int8";case j.onnx.TensorProto.DataType.UINT8:return"uint8";case j.onnx.TensorProto.DataType.BOOL:return"bool";case j.onnx.TensorProto.DataType.INT16:return"int16";case j.onnx.TensorProto.DataType.UINT16:return"uint16";case j.onnx.TensorProto.DataType.INT32:return"int32";case j.onnx.TensorProto.DataType.UINT32:return"uint32";case j.onnx.TensorProto.DataType.FLOAT:return"float32";case j.onnx.TensorProto.DataType.DOUBLE:return"float64";case j.onnx.TensorProto.DataType.STRING:return"string";case j.onnx.TensorProto.DataType.INT64:return"int32";case j.onnx.TensorProto.DataType.UINT64:return"uint32";default:throw new Error(`unsupported data type: ${j.onnx.TensorProto.DataType[e]}`)}}static tensorDataTypeStringToEnum(e){switch(e){case"int8":return j.onnx.TensorProto.DataType.INT8;case"uint8":return j.onnx.TensorProto.DataType.UINT8;case"bool":return j.onnx.TensorProto.DataType.BOOL;case"int16":return j.onnx.TensorProto.DataType.INT16;case"uint16":return j.onnx.TensorProto.DataType.UINT16;case"int32":return j.onnx.TensorProto.DataType.INT32;case"uint32":return j.onnx.TensorProto.DataType.UINT32;case"float32":return j.onnx.TensorProto.DataType.FLOAT;case"float64":return j.onnx.TensorProto.DataType.DOUBLE;case"string":return j.onnx.TensorProto.DataType.STRING;case"int64":return j.onnx.TensorProto.DataType.INT64;case"uint64":return j.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${e}`)}}static tensorDimsFromProto(e){return e.map(o=>jt.isLong(o)?o.toNumber():o)}static tensorValueTypeFromProto(e){return{tensorType:i.tensorDataTypeFromProto(e.elemType),shape:{dims:i.tensorDimsFromProto(e.shape.dim.map(o=>o.dimValue))}}}static tensorDimsFromORTFormat(e){let o=[];for(let t=0;t<e.dimsLength();t++)o.push(xt.longToNumber(e.dims(t)));return o}static tensorAttributesFromORTFormat(e){let o=[];for(let t=0;t<e.attributesLength();t++)o.push(e.attributes(t));return o}},xt=class{static longToNumber(e,o){return jt.isLong(e)?e.toNumber():e instanceof b.Long?jt.fromValue({low:e.low,high:e.high,unsigned:o??!1}).toNumber():e}static isLong(e){return jt.isLong(e)||e instanceof b.Long}},A=class i{static size(e){return i.getSizeFromDimensionRange(e,0,e.length)}static sizeFromDimension(e,o){if(o<0||o>e.length)throw new Error(`invalid dimension of ${o} for sizeFromDimension as Tensor has ${e.length} dimensions.`);return i.getSizeFromDimensionRange(e,o,e.length)}static sizeToDimension(e,o){if(o<0||o>e.length)throw new Error(`invalid dimension of ${o} for sizeToDimension as Tensor has ${e.length} dimensions.`);return i.getSizeFromDimensionRange(e,0,o)}static getSizeFromDimensionRange(e,o,t){let r=1;for(let n=o;n<t;n++){if(e[n]<=0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.");r*=e[n]}return r}static computeStrides(e){let o=e.length;if(o===0)return[];if(o===1)return[1];let t=new Array(o);t[o-1]=1,t[o-2]=e[o-1];for(let r=o-3;r>=0;--r)t[r]=t[r+1]*e[r+1];return t}static transpose(e){return e.slice().reverse()}static indicesToOffset(e,o,t){t===void 0&&(t=e.length);let r=0;for(let n=0;n<t;++n)r+=o[n]*e[n];return r}static offsetToIndices(e,o){let t=o.length;if(t===0)return[];if(t===1)return[e*o[0]];let r=new Array(o.length);for(let n=0;n<r.length-1;++n)r[n]=Math.floor(e/o[n]),e-=r[n]*o[n];return r[r.length-1]=e,r}static normalizeAxis(e,o){if(e<-o&&e>=o)throw new Error("unsupported axis for this operation.");return e<0?e+o:e}static normalizeAxes(e,o){return e.map(t=>this.normalizeAxis(t,o))}static incrementIndex(e,o,t){if(o.length===0||e.length===0)throw new Error("Index incrementing unsupported for scalar Tensor");if(t===void 0)t=o.length;else if(t<=0||t>o.length)throw new Error("Incorrect axis to increment on");for(let r=t-1;r>=0&&(e[r]++,!(e[r]<o[r]));--r)e[r]=0}static calculateReshapedDims(e,o){if(o.length===0){if(e.length===0||i.size(e)===1)return[];throw new Error("cannot reshape to a scalar Tensor")}let t=o.length,r=new Array(t),n=-1,s=1;for(let u=0;u<t;u++){if(o[u]<-1)throw new Error("a dimension in shape hints cannot be less than -1");if(o[u]===-1){if(n!==-1)throw new Error("at most one dimension in shape hints can be -1");n=u}else{if(o[u]===0){if(u>=e.length)throw new Error("the dimension with value zero exceeds the dimension size of the input tensor");r[u]=e[u]}else r[u]=o[u];s*=r[u]}}let a=i.size(e);if(n!==-1){if(a%s!==0)throw new Error(`the input tensor cannot be reshaped to the requested shape. Input shape: [${e}] Output shape: [${o}]`);r[n]=a/s}else if(s!==a)throw new Error("reshapedDims and originalDims don't have matching sizes");return r}static sortBasedOnPerm(e,o){return o?o.map(t=>e[t]):e.slice().reverse()}static padShape(e,o){let t=e.length;return e.map((r,n)=>r+o[n]+o[n+t])}static areEqual(e,o){return e.length!==o.length?!1:e.every((t,r)=>t===o[r])}static validateDimsAndCalcSize(e){if(e.length>6)throw new TypeError("Only rank 0 to 6 is supported for tensor shape.");let o=1;for(let t of e){if(!Number.isInteger(t))throw new TypeError(`Invalid shape: ${t} is not an integer`);if(t<0||t>2147483647)throw new TypeError(`Invalid shape: length ${t} is not allowed`);o*=t}return o}static flattenShape(e,o){o<0&&(o+=e.length);let t=e.reduce((s,a)=>s*a,1),r=e.slice(o).reduce((s,a)=>s*a,1);return[t/r,r]}static squeezeShape(e,o){let t=new Array;o=i.normalizeAxes(o,e.length);for(let r=0;r<e.length;r++){let n=o.indexOf(r)>=0;if(n&&e[r]!==1)throw new Error("squeeze an axis of size different than 1");(o.length===0&&e[r]>1||o.length>0&&!n)&&t.push(e[r])}return t}static unsqueezeShape(e,o){let t=new Array(e.length+o.length);t.fill(0);for(let n=0;n<o.length;n++){let s=i.normalizeAxis(o[n],t.length);if(s>=t.length)throw new Error("'axes' has an out of range axis");if(t[s]!==0)throw new Error("'axes' has a duplicate axis");t[s]=1}let r=0;for(let n=0;n<t.length;n++)t[n]===0&&(t[n]=e[r++]);if(r!==e.length)throw new Error("the unsqueezed dimension could not be established");return t}},Je=class i{static splitShape(e,o,t,r){if(t.length===0){if(!r)throw new Error("need to know number of outputs when the 'split' attribute is not specified");i.determineSplit(e[o],r,t)}let n=[],s=[0];for(let a=0;a<t.length;++a){a!==0&&s.push(s[a-1]+t[a-1]);let u=e.slice();u[o]=t[a],n.push(u)}return[n,s]}static determineSplit(e,o,t){if(e%o!==0)throw new Error("cannot split tensor to equal sized parts");for(let r=0;r<o;++r)t.push(e/o)}},de=class i{static adjustPoolAttributes(e,o,t,r,n,s){if(!e&&t.length!==o.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(e)for(let a=0;a<o.length-2;a++)a>=t.length?t.push(o[a+2]):t[a]=o[a+2];for(let a=0;a<t.length;a++)if(a<r.length){if(r[a]<0)throw new Error("strides should be greater than or equal to 1")}else r.push(1);for(let a=0;a<t.length;a++)if(a<n.length){if(n[a]<0)throw new Error("dilations should be greater than or equal to 1")}else n.push(1);for(let a=0;a<t.length*2;a++)if(a<s.length){if(s[a]<0)throw new Error("pad should be greater than or equal to 1")}else s.push(0);for(let a=0;a<t.length;a++){if(t[a]<=0)throw new Error("kernel shapes need to be greater than 0");if(s[a]>=t[a]||s[a+t.length]>=t[a])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(e,o,t,r,n,s){if(s){if(n.length!==2*(e.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(o.length!==e.length-2)throw new Error("length of strides should be the length of data dimensions");if(r.length!==e.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let a=0;a<e.length-2;a++)i.adjustPadAndReturnShape(e[a+2],o[a],t[a],r[a],n,a,a+e.length-2,s)}}static computePoolOutputShape(e,o,t,r,n,s,a){if(o.length<=0)throw new Error("input shape must be of size greater than 0");let u=[o[0],o[1]];return i.computeShapeHelper(e,o,u,t,r,n,s,a),u}static computeConvOutputShape(e,o,t,r,n,s,a){if(e.length<=0||o.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");let u=[e[0],o[0]];return i.computeShapeHelper(!1,e,u,t,r,n,s,a),u}static computeShapeHelper(e,o,t,r,n,s,a,u){if(e)for(let l=0;l<o.length-2;l++)t.push(1);else for(let l=0;l<o.length-2;l++)t.push(i.adjustPadAndReturnShape(o[l+2],r[l],n[l],s[l],a,l,l+o.length-2,u))}static adjustPadAndReturnShape(e,o,t,r,n,s,a,u){let l=t*(r-1)+1;if(u&&u!=="NOTSET")switch(u){case"VALID":return n[s]=0,n[a]=0,Math.floor((e-l)/o+1);case"SAME_LOWER":case"SAME_UPPER":if(t!==1)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{let c=((e+o-1)/o-1)*o+r-e;return n[s]=Math.floor(u==="SAME_LOWER"?(c+1)/2:c/2),n[a]=c-n[s],Math.floor((e+c-r)/o+1)}default:throw new Error("Unsupported AutoPad type")}else return Math.floor((e+n[s]+n[a]-l)/o+1)}},he=-34028234663852886e22,me=34028234663852886e22});function Wc(i){switch(i){case"bool":case"int8":case"uint8":return 1;case"int16":case"uint16":return 2;case"int32":case"uint32":case"float32":return 4;case"float64":return 8;default:throw new Error(`cannot calculate sizeof() on type ${i}`)}}function Xa(i){switch(i){case N.onnx.TensorProto.DataType.UINT8:case N.onnx.TensorProto.DataType.INT8:case N.onnx.TensorProto.DataType.BOOL:return 1;case N.onnx.TensorProto.DataType.UINT16:case N.onnx.TensorProto.DataType.INT16:return 2;case N.onnx.TensorProto.DataType.FLOAT:case N.onnx.TensorProto.DataType.INT32:case N.onnx.TensorProto.DataType.UINT32:return 4;case N.onnx.TensorProto.DataType.INT64:case N.onnx.TensorProto.DataType.DOUBLE:case N.onnx.TensorProto.DataType.UINT64:return 8;default:throw new Error(`cannot calculate sizeof() on type ${N.onnx.TensorProto.DataType[i]}`)}}function Hc(i,e){return new(Za(e))(i)}function Za(i){switch(i){case"bool":case"uint8":return Uint8Array;case"int8":return Int8Array;case"int16":return Int16Array;case"uint16":return Uint16Array;case"int32":return Int32Array;case"uint32":return Uint32Array;case"int64":return BigInt64Array;case"float32":return Float32Array;case"float64":return Float64Array;default:throw new Error("unspecified error")}}function ao(i,e){if(e===N.onnx.TensorProto.DataType.INT64||e===io.TensorDataType.INT64){if(i.greaterThanOrEqual(2147483648)||i.lessThan(-2147483648))throw new TypeError("int64 is not supported")}else 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i.getFloat64(o,!0);case N.onnx.TensorProto.DataType.UINT64:return ao(jt.fromBits(i.getUint32(o,!0),i.getUint32(o+4,!0),!0),e);default:throw new Error(`cannot read from DataView for type ${N.onnx.TensorProto.DataType[e]}`)}}var Ja,N,io,et,be=x(()=>{"use strict";Ja=Oe(Gi());Wn();qe();N=Oe(Le());U();io=P.experimental.fbs,et=class i{constructor(e,o,t,r,n,s=Ja.Guid.create()){this.dims=e;this.type=o;this.dataProvider=t;this.asyncDataProvider=r;this.cache=n;this.dataId=s;this.size=A.validateDimsAndCalcSize(e);let a=this.size,u=t===void 0&&r===void 0&&n===void 0;if(n!==void 0&&n.length!==a)throw new RangeError("Input dims doesn't match data length.");if(o==="string"){if(n!==void 0&&(!Array.isArray(n)||!n.every(l=>typeof l=="string")))throw new TypeError("cache should be a string array");u&&(this.cache=new Array(a))}else{if(n!==void 0){let l=Za(o);if(!(n instanceof l))throw new TypeError(`cache should be type ${l.name}`)}if(u){let l=new ArrayBuffer(a*Wc(o));this.cache=Hc(l,o)}}}get data(){if(this.cache===void 0){let e=this.dataProvider(this.dataId);if(e.length!==this.size)throw new Error("Length of data provided by the Data Provider is inconsistent with the dims of this Tensor.");this.cache=e}return this.cache}get stringData(){if(this.type!=="string")throw new TypeError("data type is not string");return this.data}get integerData(){switch(this.type){case"uint8":case"int8":case"uint16":case"int16":case"int32":case"uint32":case"bool":return this.data;default:throw new TypeError("data type is not integer (uint8, int8, uint16, int16, int32, uint32, bool)")}}get floatData(){switch(this.type){case"float32":case"float64":return this.data;default:throw new TypeError("data type is not float (float32, float64)")}}get numberData(){if(this.type!=="string")return this.data;throw new TypeError("type cannot be non-number (string)")}get(e){return this.data[A.indicesToOffset(e,this.strides)]}set(e,o){this.data[A.indicesToOffset(e,this.strides)]=o}async getData(){return this.cache===void 0&&(this.cache=await this.asyncDataProvider(this.dataId)),this.cache}get strides(){return this._strides||(this._strides=A.computeStrides(this.dims)),this._strides}static fromProto(e){if(!e)throw new Error("cannot construct Value from an empty tensor");let o=ut.tensorDataTypeFromProto(e.dataType),t=ut.tensorDimsFromProto(e.dims),r=new i(t,o);if(o==="string")e.stringData.forEach((n,s)=>{r.data[s]=Ze(n)});else if(e.rawData&&typeof e.rawData.byteLength=="number"&&e.rawData.byteLength>0){let n=r.data,s=new DataView(e.rawData.buffer,e.rawData.byteOffset,e.rawData.byteLength),a=Xa(e.dataType),u=e.rawData.byteLength/a;if(e.rawData.byteLength%a!==0)throw new Error("invalid buffer length");if(n.length!==u)throw new Error("buffer length mismatch");for(let l=0;l<u;l++){let f=Ka(s,e.dataType,l*a);n[l]=f}}else{let n;switch(e.dataType){case N.onnx.TensorProto.DataType.FLOAT:n=e.floatData;break;case N.onnx.TensorProto.DataType.INT32:case N.onnx.TensorProto.DataType.INT16:case N.onnx.TensorProto.DataType.UINT16:case N.onnx.TensorProto.DataType.INT8:case N.onnx.TensorProto.DataType.UINT8:case N.onnx.TensorProto.DataType.BOOL:n=e.int32Data;break;case N.onnx.TensorProto.DataType.INT64:n=e.int64Data;break;case N.onnx.TensorProto.DataType.DOUBLE:n=e.doubleData;break;case N.onnx.TensorProto.DataType.UINT32:case N.onnx.TensorProto.DataType.UINT64:n=e.uint64Data;break;default:throw new Error("unspecific error")}if(n==null)throw new Error("failed to populate data from a tensorproto value");let s=r.data;if(s.length!==n.length)throw new Error("array length mismatch");for(let a=0;a<n.length;a++){let u=n[a];jt.isLong(u)?s[a]=ao(u,e.dataType):s[a]=u}}return r}static fromData(e,o,t){return new i(o,t,void 0,void 0,e)}static fromOrtTensor(e){if(!e)throw new Error("cannot construct Value from an empty tensor");let o=ut.tensorDimsFromORTFormat(e),t=ut.tensorDataTypeFromProto(e.dataType()),r=new i(o,t);if(t==="string")for(let n=0;n<e.stringDataLength();n++)r.data[n]=e.stringData(n);else if(e.rawDataArray()&&typeof e.rawDataLength()=="number"&&e.rawDataLength()>0){let n=r.data,s=new DataView(e.rawDataArray().buffer,e.rawDataArray().byteOffset,e.rawDataLength()),a=Xa(e.dataType()),u=e.rawDataLength()/a;if(e.rawDataLength()%a!==0)throw new Error("invalid buffer length");if(n.length!==u)throw new Error("buffer length mismatch");for(let l=0;l<u;l++){let f=Ka(s,e.dataType(),l*a);n[l]=f}}return r}}});function D(i){return i===1?qc:jc}function Ya(i){let e=D(i);return`${e.version}
precision highp float;
${e.attribute} vec3 position;
${e.attribute} vec2 textureCoord;
${e.varyingVertex} vec2 TexCoords;
void main()
{
gl_Position = vec4(position, 1.0);
TexCoords = textureCoord;
}`}function Qa(i){let e=D(i);return`${e.version}
precision highp float;
precision highp int;
precision highp sampler2D;
${e.varyingFrag} vec2 TexCoords;
${e.outputDeclaration}
const vec2 halfCR = vec2(0.5, 0.5);
// Custom vector types to handle higher dimenalities.
struct ivec5
{
int x;
int y;
int z;
int w;
int u;
};
struct ivec6
{
int x;
int y;
int z;
int w;
int u;
int v;
};
int imod(int x, int y) {
return x - y * (x / y);
}
`}function ts(i,e){let o=D(i);return`
void main() {
int indices[${e}];
toVec(TexCoords, indices);
vec4 result = vec4(process(indices));
${o.output} = result;
}
`}var qc,jc,X=x(()=>{"use strict";qc={version:"",attribute:"attribute",varyingVertex:"varying",varyingFrag:"varying",texture2D:"texture2D",output:"gl_FragColor",outputDeclaration:""},jc={version:"#version 300 es",attribute:"in",varyingVertex:"out",varyingFrag:"in",texture2D:"texture",output:"outputColor",outputDeclaration:"out vec4 outputColor;"}});var R=x(()=>{"use strict"});async function so(i,e=t=>0,o){return new Promise((t,r)=>{let n=0,s=()=>{if(i()){t();return}n++;let a=e(n);if(o!=null&&n>=o){r();return}setTimeout(s,a)};s()})}function Cr(i){return $e(typeof i<"u"&&i.length!==0,()=>"empty string found for sampler name"),"get"+i.charAt(0).toUpperCase()+i.slice(1)}function es(i){return $e(typeof i<"u"&&i.length!==0,()=>"empty string found for sampler name"),"get"+i.charAt(0).toUpperCase()+i.slice(1)+"AtOutCoords"}function ke(i,e){let o=JSON.parse(JSON.stringify(i));return o=e,o}function Be(i,e){return e.map(o=>i[o]).join(", ")}function ht(i){if(i<=1)return"int";if(i===2)return"ivec2";if(i===3)return"ivec3";if(i===4)return"ivec4";if(i===5)return"ivec5";if(i===6)return"ivec6";throw Error(`GPU for rank ${i} is not yet supported`)}function Gt(i=6){return["x","y","z","w","u","v"].slice(0,i)}var Vt=x(()=>{"use strict";U()});function Xc(i,e){return Gt(e).map(o=>`${i}.${o}`)}function Fe(i,e){return e===1?[i]:Xc(i,e)}function Ut(){return`
float getChannel(vec4 frag, int dim) {
int modCoord = imod(dim, 2);
return modCoord == 0 ? frag.r : frag.g;
}
float getChannel(vec4 frag, vec2 innerDims) {
vec2 modCoord = mod(innerDims, 2.);
return modCoord.x == 0. ?
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(modCoord.y == 0. ? frag.b : frag.a);
}
`}var ye=x(()=>{"use strict";Vt()});function Jc(i,e,o){if(i===0)return"false";if(i===1)return`rc > ${e[0]}`;let t="";for(let r=i-2;r<i;r++)t+=`${o[r]} >= ${e[r-i+2]}`,r<i-1&&(t+="||");return t}function Zc(i,e){let o=i.length;if(o===0)return"getA(), 0, 0, 0";if(o===1)return`getA(rc),
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0, 0`;let t="r, c",r="r, cp1",n="rp1, c",s="rp1, cp1",a="";if(o>2)for(let u=0;u<o-2;++u)a=a+`${e[u]},`;return`getA(${a}${t}),
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int c = ${e[i-1]};
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int cp1 = ${e[i-1]} + 1;
bool rEdge = rp1 >= ${t};
bool cEdge = cp1 >= ${o};
`}var rs,Kc,ns,os=x(()=>{"use strict";X();R();Vt();ye();rs={name:"pack",inputNames:["A"],inputTypes:[1]},Kc=(i,e)=>{let o=D(i.session.backend.glContext.version),t=e.dims,r=t.length,n=e.dims.length,s=ht(n),a=Fe("rc",n),u=Yc(n,a,t[t.length-2],t[t.length-1]),l;r===0?l=[1,1]:r===1?l=[t[0],1]:l=[t[n-1],t[n-2]];let f=Jc(n,l,a),c=Zc(t,a),d=`
void main() {
${s} rc = getOutputCoords();
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${o.output} = vec4(0);
} else {
${u}
${o.output} = vec4(${c});
}
}
`;return{...rs,hasMain:!0,output:{dims:e.dims,type:e.type,textureType:2},shaderSource:d}},ns=(i,e)=>({...rs,get:()=>Kc(i,e)})});function uo(i){if(i.length===0)return[1,1,1];let e=1;for(let o=0;o<i.length-2;++o)e*=i[o];return[e,i.length>1?i[i.length-2]:1,i[i.length-1]]}function as(i,e){let o=!1;return i.length===0||e.length===0?o=!0:i.length<2||e.length<2?o=i[i.length-1]===e[e.length-1]:o=i[i.length-1]===e[e.length-1]&&i[i.length-2]===e[e.length-2],o}function ep(i){let e=A.computeStrides(i),o=["b","r","c"],t="index";return`
ivec3 inputCoordsFromReshapedOutCoords(int index) {
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return ivec3(b, r, c);
}
`}function rp(i){let e=A.computeStrides(i);return`
int getFlattenedIndex(ivec3 coords) {
// reverse y, z order
return coords.x * ${e[0]} + coords.z * ${e[1]} + coords.y;
}
`}var Qc,tp,is,ss=x(()=>{"use strict";U();X();R();ye();Qc=i=>({name:"Reshape (packed)",inputTypes:[2],inputNames:["A"],cacheHint:`${i}`}),tp=(i,e,o,t)=>{let r=e.dims,n=t,s="";for(let l=0;l<4;l++){let f="";switch(l){case 0:f="outputCoords = rc;";break;case 1:f="outputCoords = ivec3(rc.x, rc.y+1, rc.z);";break;case 2:f="outputCoords = ivec3(rc.x, rc.y, rc.z+1);";break;case 3:f="outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);";break;default:throw new Error}s+=`
${f}
${l>0?"if(outputCoords.y < rows && outputCoords.z < cols){":""}
int flattenedIndex = getFlattenedIndex(outputCoords);
ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);
vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));
result[${l}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);
${l>0?"}":""}
`}let a=D(i.session.backend.glContext.version),u=`
${ep(r)}
${rp(n)}
${Ut()}
void main() {
ivec3 rc = getOutputCoords();
vec4 result = vec4(0.0);
ivec3 outputCoords;
int rows = ${n[2]};
int cols = ${n[1]};
${s}
${a.output} = result;
}
`;return{...o,output:{dims:n,type:e.type,textureType:2},shaderSource:u,hasMain:!0}},is=(i,e,o)=>{let t=Qc(o);return{...t,get:()=>tp(i,e,t,o)}}});var lo,us=x(()=>{"use strict";X();R();lo=(i,e)=>{let o=e.shape,t=D(i.session.backend.glContext.version),r=`
const float FLOAT_MAX = 1.70141184e38;
const float FLOAT_MIN = 1.17549435e-38;
bool isNaN(float val) {
return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;
}
highp vec4 encodeAsUint8(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;
}
void main() {
float value = ${t.texture2D}(X,TexCoords).r;
${t.output} = encodeAsUint8(value);
}`,n={name:"Uint8Encode",inputTypes:[0],inputNames:["X"],output:{dims:o,type:e.tensor.type,textureType:3},shaderSource:r,hasMain:!0};return i.executeProgram(n,[e.tensor])}});function op(i,e){if(i===1)return"rc";let o="";for(let t=0;t<i;t++)o+=e[t],t<i-1&&(o+=",");return o}var ls,np,fs,cs=x(()=>{"use strict";X();R();Vt();ye();ls={name:"unpack",inputNames:["A"],inputTypes:[2]},np=(i,e)=>{let o=e.dims.length,t=Fe("rc",o),r=t.slice(-2),n=ht(o),s=Ut(),u=e.dims.length===0?"":op(o,t),l=o<=1?"rc":`vec2(${r.join(",")})`,f=D(i.session.backend.glContext.version),c=`
${s}
void main() {
${n} rc = getOutputCoords();
// Sample the texture with the coords to get the rgba channel value.
vec4 packedInput = getA(${u});
${f.output} = vec4(getChannel(packedInput, ${l}), 0, 0, 0);
}
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e.isPacked?this.readTextureAsync(this.unpack(e)):this.session.backend.glContext.isFloat32DownloadSupported?this.session.textureManager.readTextureAsync(e,e.tensor.type,e.channels):this.session.textureManager.readUint8TextureAsFloat(lo(this,e))}pack(e){return this.executeProgram(ns(this,e.tensor),[e.tensor])}unpack(e){return this.executeProgram(fs(this,e.tensor),[e.tensor])}}});var co,F,at=x(()=>{"use strict";co=class{constructor(e){Object.assign(this,e)}get cacheKey(){return this.key||(this.key=Object.getOwnPropertyNames(this).sort().map(e=>`${this[e]}`).join(";")),this.key}},F=i=>new co(i)});var bs,ys,gs,sp,up,xs=x(()=>{"use strict";at();X();R();bs={name:"BatchNormalization",inputNames:["A","Scale","B","Mean","Variance"],inputTypes:[0,0,0,0,0]},ys=(i,e,o)=>(up(e),[i.run({...bs,cacheHint:o.cacheKey,get:()=>sp(i,e,o)},e)]),gs=i=>{let e=i.attributes.getFloat("epsilon",1e-5),o=i.attributes.getFloat("momentum",.9),t=i.attributes.getInt("spatial",1);return F({epsilon:e,momentum:o,spatial:t})},sp=(i,e,o)=>{let t=D(i.session.backend.glContext.version),r=e[0].dims.length,[n,s]=i.calculateTextureWidthAndHeight(e[1].dims,0),a=`
float process(int[${r}] indices) {
vec2 position = offsetToCoords(indices[1], ${n}, ${s});
float scale = getColorAsFloat(${t.texture2D}(Scale, position));
float mean = getColorAsFloat(${t.texture2D}(Mean, position));
float variance = getColorAsFloat(${t.texture2D}(Variance, position));
float b = getColorAsFloat(${t.texture2D}(B, position));
return scale * ( (_A(indices) - mean) / sqrt(variance + float(${o.epsilon})) ) + b;
}`;return{...bs,output:{dims:e[0].dims,type:e[0].type,textureType:0},shaderSource:a}},up=i=>{if(!i||i.length!==5)throw new Error("BatchNormalization requires 5 inputs.");let e=i[0],o=i[1],t=i[2],r=i[3],n=i[4];if(e.dims.length<3||o.dims.length!==1||t.dims.length!==1||r.dims.length!==1||n.dims.length!==1)throw new Error("invalid input shape.");if(o.dims[0]!==e.dims[1]||t.dims[0]!==e.dims[1]||r.dims[0]!==e.dims[1]||n.dims[0]!==e.dims[1])throw new Error("invalid input shape.");if(e.type!=="float32"&&e.type!=="float64"||o.type!=="float32"&&o.type!=="float64"||t.type!=="float32"&&t.type!=="float64"||r.type!=="float32"&&r.type!=="float64"||n.type!=="float32"&&n.type!=="float64")throw new Error("invalid input tensor types.")}});var Vr,At,O,er,Ur,Xt=x(()=>{"use strict";Vr=class{constructor(e,o,t,r){this.glContext=e;this.programInfo=o;this.inputTextureLayouts=t;this.outputTextureLayout=r}},At=class{constructor(e){this.context=e}},O=class{constructor(e,o){this.routineBody=e;this.dependencies=o}},er=class{constructor(e,o,t){this.name=e;t?this.dependencies=t:this.dependencies=[],o&&(this.routineBody=o)}addDependency(e){e&&this.dependencies.push(e)}},Ur=class{static returnOrderedNodes(e){if(!e||e.length===0)return[];if(e.length===1)return e;let o=new Set,t=new Set,r=new Array;return this.createOrderedNodes(e,o,t,r),r}static createOrderedNodes(e,o,t,r){for(let n=0;n<e.length;++n)this.dfsTraverse(e[n],o,t,r)}static dfsTraverse(e,o,t,r){if(!e||t.has(e.name))return;if(o.has(e.name))throw new Error("Cyclic dependency detected. Can't topologically sort routines needed for shader.");o.add(e.name);let n=e.dependencies;if(n&&n.length>0)for(let s=0;s<n.length;++s)this.dfsTraverse(n[s],o,t,r);r.push(e),t.add(e.name),o.delete(e.name)}}});function fp(){let i="add_";return{body:`
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return a + b;
}
vec4 ${i}(vec4 v1, vec4 v2) {
return v1 + v2;
}
`,name:i,type:0}}function cp(){let i="div_";return{body:`
float ${i}(float a, float b) {
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}
vec4 ${i}(vec4 v1, vec4 v2) {
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}
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vec4 ${i}(vec4 v1, vec4 v2) {
return v1 * v2;
}
`,name:i,type:0}}function dp(){let i="sub_";return{body:`
float ${i}(float a, float b) {
return a - b;
}
vec4 ${i}(vec4 v1, vec4 v2) {
return v1 - v2;
}
`,name:i,type:0}}function hp(){let i="equal_";return{body:`
float ${i}(float a, float b) {
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}
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}
vec4 ${i}(vec4 v1, vec4 v2) {
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v1.b < v2.b,
v1.a < v2.a );
}
`,name:i,type:0}}function yp(){let i="and_";return{body:`
float ${i}(float a, float b) {
return float( bool(a) && bool(b) );
}
vec4 ${i}(vec4 v1, vec4 v2) {
bvec4 b1 = bvec4(v1);
bvec4 b2 = bvec4(v2);
return vec4( b1.r && b2.r ,
b1.g && b2.g,
b1.b && b2.b,
b1.a && b2.a );
}
`,name:i,type:0}}function gp(){let i="or_";return{body:`
float ${i}(float a, float b) {
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}
vec4 ${i}(vec4 v1, vec4 v2) {
bvec4 b1 = bvec4(v1);
bvec4 b2 = bvec4(v2);
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b1.b || b2.b,
b1.a || b2.a );
}
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}
vec4 ${i}(vec4 v1, vec4 v2) {
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bvec4 b2 = bvec4(v2);
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float ${i}(float a, float b) {
return a < 0.0 ? a * b: a;
}
vec4 ${i}(vec4 v1, vec4 v2) {
return vec4(
v1.r < 0.0 ? v1.r * v2.r: v1.r,
v1.g < 0.0 ? v1.g * v2.g: v1.g,
v1.b < 0.0 ? v1.b * v2.b: v1.b,
v1.a < 0.0 ? v1.a * v2.a: v1.a
);
}
`,name:i,type:0}}function vp(i){let e=`${i}_`;return{body:`
float ${e}(float a, float b) {
return ${i}(a, b);
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${o.body}
void main() {
vec4 a = getAAtOutCoords();
vec4 b = getBAtOutCoords();
vec4 result = ${o.name}(a, b);
${T.output} = result;
}`:`
${o.body}
float process(int indices[${c}]) {
int aindices[${d}];
int bindices[${m}];
${y}
${g}
return ${o.name}(_A(aindices), _B(bindices));
}`;return{name:o.name,inputNames:["A","B"],inputTypes:[r,r],output:{dims:s,type:t,textureType:r},shaderSource:_,hasMain:a}}let u=D(i.session.backend.glContext.version),l=`
${o.body}
void main() {
vec4 v1 = ${u.texture2D}(A, TexCoords);
vec4 v2 = ${u.texture2D}(B, TexCoords);
vec4 result = ${o.name}(v1, v2);
${u.output} = result;
}
`;return{name:o.name,inputNames:["A","B"],inputTypes:[r,r],output:{dims:e[0].dims,type:t,textureType:r},shaderSource:l,hasMain:!0}},Ts=(i,e)=>[i.run(Pt(i,e,fp()),e)],ws=(i,e)=>[i.run(Pt(i,e,yp(),"bool"),e)],vs=(i,e)=>[i.run(Pt(i,e,cp()),e)],Is=(i,e)=>[i.run(Pt(i,e,hp(),"bool"),e)],_s=(i,e)=>[i.run(Pt(i,e,mp(),"bool"),e)],Ss=(i,e)=>[i.run(Pt(i,e,bp(),"bool"),e)],Os=(i,e)=>[i.run(Pt(i,e,pp()),e)],As=(i,e)=>[i.run(Pt(i,e,gp(),"bool"),e)],Ps=(i,e)=>[i.run(Pt(i,e,Tp()),e)],Es=(i,e)=>[i.run(Pt(i,e,wp()),e)],Ds=(i,e)=>[i.run(Pt(i,e,dp()),e)],Ls=(i,e)=>[i.run(Pt(i,e,xp(),"bool"),e)]});var ks,Bs,Sp,Fs=x(()=>{"use strict";U();ks=(i,e,o)=>(Sp(e),[i.cast(e[0],o)]),Bs=i=>ut.tensorDataTypeFromProto(i.attributes.getInt("to")),Sp=i=>{if(!i||i.length!==1)throw new Error("Cast requires 1 input.");if(i[0].type==="string")throw new Error("Invalid input type.")}});var Op,Ap,Ns,zr,Cs=x(()=>{"use strict";X();R();Vt();ye();Op=(i,e)=>({name:"Concat (packed)",inputNames:Array.from({length:i},(o,t)=>`X${t}`),inputTypes:Array(i).fill(2),cacheHint:e}),Ap=(i,e,o,t)=>{let r=o[0].dims.slice();if(t>=r.length||t<-1*r.length)throw new Error("axis specified for concat doesn't match input dimensionality");t<0&&(t=r.length+t);let n=r.slice(0);for(let B=1;B<o.length;B++){let Q=o[B].dims.slice();for(let pt=0;pt<r.length;pt++)if(pt===t)n[t]+=Q[pt];else if(r[pt]!==Q[pt])throw new Error("non concat dimensions must match")}let s=n.length,a=Fe("coords",s),u=ht(s),l=Ut(),f=o.map(B=>B.dims),c=Gt(s),d=new Array(f.length-1);d[0]=f[0][t];for(let B=1;B<d.length;B++)d[B]=d[B-1]+f[B][t];let m=c[t],y=c.slice(-2),g=c.join(),T=`if (${m} < ${d[0]}) {
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getX0(${g}), vec2(${y.join()}));
}`;for(let B=1;B<d.length;B++){let Q=d[B-1];T+=`
if (${m} < ${d[B]} && ${m} >= ${d[B-1]}) {
return getChannel(
getX${B}(${zr(c,m,Q)}),
vec2(${zr(y,m,Q)}));
}`}let _=d.length,w=d[d.length-1];T+=`
return getChannel(
getX${_}(${zr(c,m,w)}),
vec2(${zr(y,m,w)}));`;let v=D(i.session.backend.glContext.version),L=`
${l}
float getValue(${c.map(B=>"int "+B)}) {
${T}
}
void main() {
${u} coords = getOutputCoords();
int lastDim = coords.${c[s-1]};
coords.${c[s-1]} = coords.${c[s-2]};
coords.${c[s-2]} = lastDim;
vec4 result = vec4(getValue(${a}), 0., 0., 0.);
${a[s-1]} = ${a[s-1]} + 1;
if (${a[s-1]} < ${n[s-1]}) {
result.g = getValue(${a});
}
${a[s-2]} = ${a[s-2]} + 1;
if (${a[s-2]} < ${n[s-2]}) {
result.a = getValue(${a});
}
${a[s-1]} = ${a[s-1]} - 1;
if (${a[s-2]} < ${n[s-2]} &&
${a[s-1]} < ${n[s-1]}) {
result.b = getValue(${a});
}
${v.output} = result;
}
`;return{...e,output:{dims:n,type:o[0].type,textureType:2},shaderSource:L,hasMain:!0}},Ns=(i,e,o)=>{let t=Op(e.length,o.cacheKey);return{...t,get:()=>Ap(i,t,e,o.axis)}},zr=(i,e,o)=>{let t=i.indexOf(e);return i.map((n,s)=>s===t?`${n} - ${o}`:n).join()}});var Rs,Pp,Ep,Dp,Gs,Lp,$p,kp,Ms,Bp,Vs=x(()=>{"use strict";at();R();Cs();Rs=(i,e,o)=>(Bp(e),i.session.pack&&e[0].dims.length>1?[i.run(Ns(i,e,o),e)]:[i.run(Dp(i,e,o),e)]),Pp=(i,e)=>({name:"Concat",inputNames:Array.from({length:i},(o,t)=>`X${t}`),inputTypes:Array(i).fill(0),cacheHint:e}),Ep=(i,e,o,t)=>{let r=o[0].dims.slice();if(t>=r.length||t<-1*r.length)throw new Error("axis specified for concat doesn't match input dimensionality");t<0&&(t=r.length+t);let n=r.slice(0);for(let m=1;m<o.length;m++){let y=o[m].dims.slice();for(let g=0;g<r.length;g++)if(g===t)n[t]+=y[g];else if(r[g]!==y[g])throw new Error("non concat dimensions must match")}let s=n.length,a=new Array(o.length),u=0;for(let m=0;m<a.length;++m)u+=o[m].dims[t],a[m]=u;let l="";o.length<5?l=Gs(a):l=Lp(a);let f=$p(o.length,s),c=kp(a),d=`
${f}
${c}
${l}
float process(int indices[${s}]) {
int textureIndex = getTextureWhereDataResides (indices[${t}]);
if(textureIndex != 0) {
indices[${t}] = indices[${t}] - int(getSizeInConcatAxisValueFromIndex(textureIndex-int(1)));
}
return fetchDataFromCorrectTexture(textureIndex, indices);
}`;return{...e,output:{dims:n,type:o[0].type,textureType:0},shaderSource:d}},Dp=(i,e,o)=>{let t=Pp(e.length,o.cacheKey);return{...t,get:()=>Ep(i,t,e,o.axis)}},Gs=i=>`int getTextureWhereDataResides(int index) {
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}`,Lp=i=>Gs(i),$p=(i,e)=>{let o=[`float fetchDataFromCorrectTexture(int textureIndex, int indices[${e}]) {`];for(let t=0;t<i;++t)t===0?o.push(` if (textureIndex == ${t}) { return _X${t}(indices); }`):t===i-1?o.push(` else { return _X${t}(indices); }`):o.push(` else if (textureIndex == ${t}) { return _X${t}(indices); }`);return o.push(" }"),o.join(`
`)},kp=i=>{let e=["int getSizeInConcatAxisValueFromIndex(int index) {"];for(let o=0;o<i.length;++o)o===0?e.push(` if (index == ${o}) { return ${i[o]}; }`):o===i.length-1?e.push(` else { return ${i[o]}; }`):e.push(` else if (index == ${o}) { return ${i[o]}; }`);return e.push(" }"),e.join(`
`)},Ms=i=>F({axis:i.attributes.getInt("axis")}),Bp=i=>{if(!i||i.length<1)throw new Error("too few inputs");let e=i[0].type,o=i[0].dims.length;if(e==="string")throw new Error("string tensor is not supported yet");for(let t of i){if(t.type!==e)throw new Error("input tensors should be one type");if(t.dims.length!==o)throw new Error("input tensors should have the same shape")}}});function Fp(){return Et("abs")}function Np(){return Et("acos")}function Cp(){return Et("asin")}function Rp(){return Et("atan")}function Gp(){return Et("ceil")}function Mp(){return Et("cos")}function Vp(i){let e="elu";return{body:`
const float alpha = float(${i});
float ${e}_(float a) {
return a >= 0.0 ? a: (exp(a) - 1.0) * alpha;
}
vec4 ${e}_(vec4 v) {
return vec4(${e}_(v.x), ${e}_(v.y), ${e}_(v.z), ${e}_(v.w));
}
`,name:e,type:0}}function Up(){return Et("exp")}function zp(){return Et("floor")}function po(i,e){let o="clip";return{body:`
const float min = float(${i});
const float max = float(${e});
float ${o}_(float a) {
return clamp(a, min, max);
}
vec4 ${o}_(vec4 v) {
return clamp(v, min, max);
}
`,name:o,type:0}}function Wp(){let i="indentity";return{body:`
float ${i}_(float a) {
return a;
}
vec4 ${i}_(vec4 v) {
return v;
}
`,name:i,type:0}}function Hp(i){let e="leakyRelu";return{body:`
const float alpha = float(${i});
float ${e}_(float a) {
return a < 0.0 ? a * alpha : a;
}
vec4 ${e}_(vec4 v) {
return vec4(${e}_(v.x), ${e}_(v.y), ${e}_(v.z), ${e}_(v.w));
}
`,name:e,type:0}}function qp(){return Et("log")}function jp(){let i="neg";return{body:`
float ${i}_(float a) {
return -a;
}
vec4 ${i}_(vec4 v) {
return -v;
}
`,name:i,type:0}}function Xp(){let i="not";return{body:`
float ${i}_(float a) {
return float( ! bool(a) );
}
bool ${i}_(bool a) {
return !a;
}
vec4 ${i}_(vec4 v) {
return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w));
}
bvec4 ${i}_(bvec4 v) {
return bvec4(!v.x, !v.y, !v.z, !v.w);
}
`,name:i,type:0}}function Kp(){return Et("sin")}function ho(){let i="relu";return{body:`
float ${i}_(float a) {
return max( a, 0.0 );
}
vec4 ${i}_(vec4 v) {
return max( v, 0.0 );
}
`,name:i,type:0}}function mo(){let i="sigmoid";return{body:`
float ${i}_(float a) {
return 1.0 / (1.0 + exp(-a));
}
vec4 ${i}_(vec4 v) {
return 1.0 / (1.0 + exp(-v));
}
`,name:i,type:0}}function Jp(){return Et("sqrt")}function Zp(){return Et("tan")}function Yp(){let i="tanh";return{body:`
float ${i}_(float a) {
a = clamp(a, -10., 10.);
a = exp(2.*a);
return (a - 1.) / (a + 1.);
}
vec4 ${i}_(vec4 v) {
v = clamp(v, -10., 10.);
v = exp(2.*v);
return (v - 1.) / (v + 1.);
}
`,name:i,type:0}}function Et(i){return{body:`
float ${i}_(float a) {
return ${i}(a);
}
vec4 ${i}_(vec4 v) {
return ${i}(v);
}
`,name:i,type:0}}var Qp,Z,Us,zs,Ws,Hs,bo,qs,js,td,Xs,Ks,Js,Zs,Ys,Qs,yo,tu,eu,ru,nu,ou,iu,au,su,uu,lu,fu,go=x(()=>{"use strict";at();U();Xt();X();R();Qp=(i,e,o,t)=>{let r=i.session.pack?2:0,n=D(i.session.backend.glContext.version);return{...e,output:{dims:o.dims,type:o.type,textureType:r},shaderSource:`
${t.body}
void main() {
vec4 v = ${n.texture2D}(A, TexCoords);
v = ${t.name}_(v);
${n.output} = v;
}
`,hasMain:!0}},Z=(i,e,o,t)=>{let r=i.session.pack?2:0,n={name:o.name,inputTypes:[r],inputNames:["A"],cacheHint:t};return{...n,get:()=>Qp(i,n,e,o)}},Us=(i,e)=>[i.run(Z(i,e[0],Fp()),e)],zs=(i,e)=>[i.run(Z(i,e[0],Np()),e)],Ws=(i,e)=>[i.run(Z(i,e[0],Cp()),e)],Hs=(i,e)=>[i.run(Z(i,e[0],Rp()),e)],bo=(i,e,o)=>[i.run(Z(i,e[0],po(o.min,o.max),o.cacheKey),e)],qs=i=>F({min:i.attributes.getFloat("min",he),max:i.attributes.getFloat("max",me)}),js=(i,e)=>{let o=td(i,e);return bo(i,[e[0]],o)},td=(i,e)=>{if(e.length>=3&&(!i.session.isInitializer(e[1].dataId)||!i.session.isInitializer(e[2].dataId)))throw new Error("dynamic clip attributes are not allowed");let o=e.length>=3?e[1].numberData[0]:he,t=e.length>=3?e[2].numberData[0]:me;return F({min:o,max:t})},Xs=(i,e)=>[i.run(Z(i,e[0],Gp()),e)],Ks=(i,e)=>[i.run(Z(i,e[0],Mp()),e)],Js=(i,e,o)=>[i.run(Z(i,e[0],Vp(o.alpha),o.cacheKey),e)],Zs=i=>F({alpha:i.attributes.getFloat("alpha",1)}),Ys=(i,e)=>[i.run(Z(i,e[0],Up()),e)],Qs=(i,e)=>[i.run(Z(i,e[0],zp()),e)],yo=(i,e)=>[i.run(Z(i,e[0],Wp()),e)],tu=(i,e,o)=>[i.run(Z(i,e[0],Hp(o.alpha),o.cacheKey),e)],eu=i=>F({alpha:i.attributes.getFloat("alpha",.01)}),ru=(i,e)=>[i.run(Z(i,e[0],qp()),e)],nu=(i,e)=>[i.run(Z(i,e[0],jp()),e)],ou=(i,e)=>[i.run(Z(i,e[0],Xp()),e)],iu=(i,e)=>[i.run(Z(i,e[0],ho()),e)],au=(i,e)=>[i.run(Z(i,e[0],mo()),e)],su=(i,e)=>[i.run(Z(i,e[0],Kp()),e)],uu=(i,e)=>[i.run(Z(i,e[0],Jp()),e)],lu=(i,e)=>[i.run(Z(i,e[0],Zp()),e)],fu=(i,e)=>[i.run(Z(i,e[0],Yp()),e)]});function zt(i){let e;switch(i.activation){case"Relu":e=ho();break;case"Sigmoid":e=mo();break;case"Clip":e=po(i.clipMin,i.clipMax);break;default:return{activationFunction:"",applyActivation:""}}let o=e.name,t=e.body,r=`value = ${o}_(value);`;return{activationFunction:t,applyActivation:r}}var Ne,ge=x(()=>{"use strict";U();go();Ne=i=>{let e=i.getString("activation","");if(e==="Clip"){let[o,t]=i.getFloats("activation_params",[he,me]);return{activation:e,clipMax:t,clipMin:o,activationCacheKey:`${e}:${o},${t}`}}return{activation:e,activationCacheKey:e}}});var rd,nd,cu,pu=x(()=>{"use strict";It();X();R();Wr();ge();rd=(i,e)=>({name:"GroupedConv",inputNames:i?["X","W","Bias"]:["X","W"],inputTypes:i?[0,0,0]:[0,0],cacheHint:e}),nd=(i,e,o,t)=>{let n=e.length>2?"value += getBias(output_channel);":"",s=e[0].dims.slice(),a=e[1].dims.slice(),u=a[0]/t.group;z.verbose("GroupedConv",`autpPad:${t.autoPad}, dilations:${t.dilations}, group:${t.group}, kernelShape:${t.kernelShape}, pads:${t.pads}, strides:${t.strides}`);let l=Ce(s,a,t.dilations,t.pads,t.strides),f=D(i.session.backend.glContext.version),{activationFunction:c,applyActivation:d}=zt(t),m=`
const ivec2 strides = ivec2(${t.strides[0]}, ${t.strides[1]});
const ivec2 pads = ivec2(${t.pads[0]}, ${t.pads[1]});
${c}
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
int output_channel = coords.y;
ivec2 xRCCorner = coords.zw * strides - pads;
int group_id = output_channel / ${u};
float value = 0.0;
for (int wInChannel = 0; wInChannel < ${a[1]}; wInChannel++) {
int input_channel = group_id * ${a[1]} + wInChannel;
for (int wHeight = 0; wHeight < ${a[2]}; wHeight++) {
int xHeight = xRCCorner.x + wHeight * ${t.dilations[0]};
if (xHeight < 0 || xHeight >= ${s[2]}) {
continue;
}
for (int wWidth = 0; wWidth < ${a[3]}; wWidth++) {
int xWidth = xRCCorner.y + wWidth * ${t.dilations[1]};
if (xWidth < 0 || xWidth >= ${s[3]}) {
continue;
}
float xVal = getX(batch, input_channel, xWidth, xHeight);
float wVal = getW(output_channel, wInChannel, wWidth, wHeight);
value += xVal*wVal;
}
}
}
${n}
${d}
${f.output} = vec4(value, .0, .0, .0);
}
`;return{...o,output:{dims:l,type:e[0].type,textureType:0},shaderSource:m,hasMain:!0}},cu=(i,e,o)=>{let t=rd(e.length>2,o.cacheKey);return{...t,get:()=>nd(i,e,t,o)}}});var od,id,du,hu=x(()=>{"use strict";X();R();ye();od=i=>({name:"Im2Col (packed)",inputNames:["A"],inputTypes:[2],cacheHint:i}),id=(i,e,o,t,r,n)=>{let s=o.dims,a=t.dims,u=2,l=3,f=r.length,c=[a[1]*a[2]*a[3],r[2]*r[3]],d=a[2]*a[3],m=Ut(),y=D(i.session.backend.glContext.version),g="";for(let _=0;_<=1;_++)for(let w=0;w<=1;w++)g+=`
blockIndex = rc.x + ${w};
pos = rc.y + ${_};
if(blockIndex < ${c[1]} && pos < ${c[0]}) {
offsetY = int(blockIndex / (${r[f-1]})) * ${n.strides[0]} -
${n.pads[0]};
d0 = offsetY + ${n.dilations[0]} * (imod(pos, ${d}) / ${a[2]});
if(d0 < ${s[u]} && d0 >= 0) {
offsetX = imod(blockIndex, ${r[f-1]}) * ${n.strides[1]} -
${n.pads[1]};
d1 = offsetX + ${n.dilations[1]} * imod(imod(pos, ${d}), ${a[2]});
if(d1 < ${s[l]} && d1 >= 0) {
ch = int(float(pos)/ ${d}.);
innerDims = vec2(d0, d1);
result[${_*2+w}] = getChannel(
getA(0, ch, int(innerDims.x),
int(innerDims.y)), innerDims);
}
}
}
`;let T=`
${m}
void main() {
ivec2 rc = getOutputCoords();
vec4 result = vec4(0.0);
int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
vec2 innerDims;
${g}
${y.output} = result;
}
`;return{...e,output:{dims:c,type:o.type,textureType:2},shaderSource:T,hasMain:!0}},du=(i,e,o,t,r)=>{let n=od(r.cacheKey);return{...n,get:()=>id(i,n,e,o,t,r)}}});function sd(i,e,o){let t=e[0].dims,r=e[1].dims,n=dt.calcShape(t,r,!0);if(!n)throw new Error("Can't use matmul on the given tensors");let s=ht(n.length),a=Gt(),{activationFunction:u,applyActivation:l}=zt(o),f=e.length>2,c=f?"value += getBiasForMatmul();":"",d=f?`${To(s,a,e[2].dims,n,!1)}`:"",m=n.length,y=t.length,g=r.length,T=t[t.length-1],_=`
${u}
${d}
float process(int indices[${m}]) {
int a[${y}];
int b[${g}];
bcastMatmulIndices_A(indices, a);
bcastMatmulIndices_B(indices, b);
float value;
for (int k=0; k<${T}; ++k) {
a[${y-1}] = k;
b[${g-2}] = k;
value += _A(a) * _B(b);
}
${c}
${l}
return value;
}`;return{...i,output:{dims:n,type:e[0].type,textureType:0},shaderSource:_}}function xo(i,e){let o=ad(i.length>2,e.activationCacheKey);return{...o,get:()=>sd(o,i,e)}}function To(i,e,o,t,r){let n="",s=o.length,a=t.length,u=a-s;a<2&&s>0?n="coords":n=o.map((g,T)=>`coords.${e[T+u]}`).join(", ");let f=dt.getBroadcastDims(o,t).map(g=>`coords.${e[g+u]} = 0;`).join(`
`),d=A.size(o)===1,m="vec4(outputValue.xx, outputValue.yy)";return d&&(m="vec4(outputValue.x)"),r?`
vec4 getBiasForMatmul() {
${i} coords = getOutputCoords();
${f}
vec4 outputValue = getBias(${n});
return ${m};
}`:`
float getBiasForMatmul() {
${i} coords = getOutputCoords();
${f}
return getBias(coords.x);
}`}var mu,bu,ad,ud,Hr=x(()=>{"use strict";U();R();Vt();ge();wo();mu=(i,e,o)=>(ud(e),i.session.pack?[i.run(qr(i,e,o),e)]:[i.run(xo(e,o),e)]),bu=i=>Ne(i.attributes),ad=(i,e)=>({name:"MatMul",inputNames:i?["A","B","Bias"]:["A","B"],inputTypes:i?[0,0,0]:[0,0],cacheHint:e});ud=i=>{if(!i||i.length!==2)throw new Error("MatMul requires 2 inputs.");if(i[0].dims[i[0].dims.length-1]!==i[1].dims[i[1].dims.length-2])throw new Error("shared dimension does not match.");if(i[0].type!=="float32"&&i[0].type!=="float64"||i[1].type!=="float32"&&i[1].type!=="float64")throw new Error("inputs should be float type");if(i[0].type!==i[1].type)throw new Error("inputs types should match")}});function cd(i,e,o,t){let r=[],n=[],s=o[0].dims,a=o[1].dims,u=s.length,l=a.length,f=t.length,c=f-u,d=f-l;r=s.map((v,L)=>`coords.${e[L+c]}`),r[u-1]="i*2",r.join(", "),n=a.map((v,L)=>`coords.${e[L+d]}`),n[l-2]="i*2",n.join(", ");let m=dt.getBroadcastDims(s,t),y=dt.getBroadcastDims(a,t),g=m.map(v=>`coords.${e[v+c]} = 0;`).join(`
`),T=y.map(v=>`coords.${e[v+d]} = 0;`).join(`
`),_=`int lastDim = coords.${e[f-1]};
coords.${e[f-1]} = coords.${e[f-2]};
coords.${e[f-2]} = lastDim;`;return`
vec4 getAAtOutCoordsMatmul(int i) {
${i} coords = getOutputCoords();
${_}
${g}
vec4 outputValue = getA(${r});
return outputValue;
}
vec4 getBAtOutCoordsMatmul(int i) {
${i} coords = getOutputCoords();
${_}
${T}
vec4 outputValue = getB(${n});
return outputValue;
}`}function pd(i,e){let o="";for(let t=0;t<e-2;t++)o+=`rc.${i[t]}, `;return o+=`rc.${i[e-2]}, i*2`,o}function dd(i,e){let o="";for(let t=0;t<e-2;t++)o+=`rc.${i[t]}, `;return o+=`i*2, rc.${i[e-1]}`,o}var ld,fd,qr,wo=x(()=>{"use strict";U();X();R();Vt();ge();Hr();ld=(i,e)=>({name:"MatMul (packed)",inputNames:i?["A","B","Bias"]:["A","B"],inputTypes:i?[2,2,2]:[2,2],cacheHint:e}),fd=(i,e,o,t)=>{let r=o.length>2,n=r?"value += getBiasForMatmul();":"",s=o[0].dims,a=o[1].dims,u=dt.calcShape(s,a,!0),l=!A.areEqual(o[0].dims,o[1].dims);if(!u)throw new Error("Can't use matmul on the given tensors");let f=s[s.length-1],c=Math.ceil(f/2),d=s.length,m=a.length,y=D(i.session.backend.glContext.version),g=ht(u.length),T=u.length,_=Gt(),{activationFunction:w,applyActivation:v}=zt(t),L=r?`${To(g,_,o[2].dims,u,!0)}`:"",B=l?`${cd(g,_,o,u)}`:"",Q=l?"getAAtOutCoordsMatmul(i)":`getA(${pd(_,d)})`,pt=l?"getBAtOutCoordsMatmul(i)":`getB(${dd(_,m)})`,Ht=l?"":`${g} rc =
getOutputCoords(); int lastDim = rc.${_[T-1]}; rc.${_[T-1]} =
rc.${_[T-2]}; rc.${_[T-2]} = lastDim;
`,wt=`
${B}
${L}
${w}
void main() {
${Ht}
vec4 value = vec4(0);
for (int i = 0; i < ${c}; i++) {
vec4 a = ${Q};
vec4 b = ${pt};
value += (a.rrbb * b.rgrg);
value += (a.ggaa * b.baba);
}
${n}
${v}
${y.output} = value;
}`;return{...e,output:{dims:u,type:o[0].type,textureType:2},shaderSource:wt,hasMain:!0}},qr=(i,e,o)=>{let t=ld(e.length>2,o.activationCacheKey);return{...t,get:()=>fd(i,t,e,o)}}});var yu,gu=x(()=>{"use strict";Wr();hu();wo();yu=(i,e,o)=>{let t=e[0].dims,r=e[1].dims,n=Ce(t,r,o.dilations,o.pads,o.strides),s=i.run(du(i,e[0],e[1],n,o),[e[0]]),a=i.reshapePacked(e[1],[r[0],r[1]*r[2]*r[3]]),u=e.length===3?[a,s,e[2]]:[a,s],l=i.run(qr(i,u,o),u);return i.reshapePacked(l,n)}});var hd,md,xu,vo,Io=x(()=>{"use strict";R();hd=i=>({name:"Im2Col",inputNames:["X"],inputTypes:[0],cacheHint:i}),md=(i,e,o,t,r,n)=>{let s=o.dims,a=t.dims,u=r.length,l=vo(s,a,r,4),f=`
const int XC = ${s[1]};
const int XH = ${s[2]};
const int XW = ${s[3]};
const int KH = ${n.kernelShape[0]};
const int KW = ${n.kernelShape[1]};
const int dilationH = ${n.dilations[0]};
const int dilationW = ${n.dilations[1]};
const int strideH = ${n.strides[0]};
const int strideW = ${n.strides[1]};
const int padH = ${n.pads[0]};
const int padW = ${n.pads[1]};
const int KHKW = KH*KW;
const int XCKHKW = XC * KHKW;
const int outputChannels = 4;
vec4 process(int indices[${u}]) {
int b = indices[0]; // batch size
int oh = indices[1] * strideH - padH; //output height
int ow = indices[2] * strideW - padW; //output width
int p = indices[3] * outputChannels; //patch
vec4 value = vec4(0.0);
for(int i=0; i < outputChannels; ++i) {
if(p < XCKHKW) {
int patchC = p / KHKW;
int patchH = (p - patchC*KHKW) / KW;
int patchW = (p - patchC*KHKW) - patchH * KW;
int xh2 = oh + patchH * dilationH;
int xw2 = ow + patchW * dilationW;
int x[${s.length}];
x[0] = b;
x[1] = patchC;
x[2] = xh2;
x[3] = xw2;
if(xh2 >= 0 &&
xh2 < XH &&
xw2 >= 0 &&
xw2 < XW) {
value[i] = _X(x);
}
}
++p;
}
return value;
}
`;return{...e,output:{dims:l,type:o.type,textureType:4},shaderSource:f}},xu=(i,e,o,t,r)=>{let n=hd(r.cacheKey);return{...n,get:()=>md(i,n,e,o,t,r)}},vo=(i,e,o,t=4)=>[o[0],o[2],o[3],Math.ceil(i[1]*e[2]*e[3]/t)]});var bd,yd,Tu,wu=x(()=>{"use strict";U();X();R();ge();Io();bd=(i,e)=>({name:"ConvDotProduct",inputNames:i?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:i?[0,4,0]:[0,4],cacheKey:e.activationCacheKey}),yd=(i,e,o,t,r)=>{let n=o[0].dims,s=o[1].dims,a=[s[0],Math.ceil(n[1]*s[2]*s[3]/4)],u=vo(n,s,t),[l,f]=i.calculateTextureWidthAndHeight(a,4),c=A.computeStrides(u),[d,m]=i.calculateTextureWidthAndHeight(u,4),y=t.length,g=o.length<3?"0.0":"_B(b)",T=Math.ceil(n[1]*s[2]*s[3]/4),{activationFunction:_,applyActivation:w}=zt(r),v=D(i.session.backend.glContext.version),L=`
${_}
float process(int indices[${y}]) {
int b[1];
b[0] = indices[1];
int im2col[4];
im2col[0] = indices[0];
im2col[1] = indices[2];
im2col[2] = indices[3];
int im2colOffset = im2col[0] * ${c[0]} + im2col[1] * ${c[1]} + im2col[2] * ${c[2]};
int kernelOffset = indices[1] * ${a[1]};
float value = ${g};
for (int i = 0; i < ${T}; ++i) {
vec2 im2colCoords = offsetToCoords(im2colOffset, ${d}, ${m});
vec2 kernelCoords = offsetToCoords(kernelOffset, ${l}, ${f});
value += dot(${v.texture2D}(Im2Col, im2colCoords), ${v.texture2D}(K, kernelCoords));
++im2colOffset;
++kernelOffset;
}
${w}
return value;
}`;return{...e,output:{dims:t,type:o[0].type,textureType:0},shaderSource:L}},Tu=(i,e,o,t)=>{let r=bd(e.length>2,t);return{...r,get:()=>yd(i,r,e,o,t)}}});var Ce,_o,gd,xd,Td,wd,So,vd,Wr=x(()=>{"use strict";at();U();pu();gu();wu();ge();Io();Hr();Ce=(i,e,o,t,r)=>{let n=i[0],s=i.slice(2),a=s.length,u=e[0],f=e.slice(2).map((y,g)=>y+(y-1)*(o[g]-1)),d=s.map((y,g)=>y+t[g]+t[g+a]).map((y,g)=>Math.floor((y-f[g]+r[g])/r[g]));return[n,u].concat(...d)},_o=(i,e,o)=>(vd(e,o),gd(i,e,o)),gd=(i,e,o)=>{let t=wd(o,e),r=i.session.pack,n=t.kernelShape[0]===1&&t.kernelShape[1]===1;return t.group>1?[i.run(cu(i,e,t),e)]:n&&r?[xd(i,e,t)]:r&&e[0].dims.length===4&&e[0].dims[0]===1&&!n?[yu(i,e,t)]:[Td(i,e,t)]},xd=(i,e,o)=>{let t=e[0].dims,r=e[1].dims,n=Ce(t,r,o.dilations,o.pads,o.strides),s=i.reshapeUnpacked(e[0],[t[1],t[2]*t[3]]),a=i.reshapeUnpacked(e[1],[r[0],r[1]]),u=e.length>2?[a,s,e[2]]:[a,s],l=i.run(xo(u,o),u);return i.reshapeUnpacked(l,n)},Td=(i,e,o)=>{let t=e[0].dims,r=e[1].dims,n=Ce(t,r,o.dilations,o.pads,o.strides),s=i.run(xu(i,e[0],e[1],n,o),[e[0]]),a=e.length===3?[s,e[1],e[2]]:[s,e[1]];return i.run(Tu(i,e,n,o),a)},wd=(i,e)=>{let o=i.kernelShape.slice();if(i.kernelShape.length===0)for(let n=2;n<e[1].dims.length;++n)o.push(e[1].dims[n]);let t=i.pads.slice();de.adjustPadsBasedOnAutoPad(e[0].dims,i.strides,i.dilations,o,t,i.autoPad);let r=Object.assign({},i);return Object.assign(r,{kernelShape:o,pads:t,cacheKey:i.cacheKey}),r},So=i=>{let e=i.attributes,o=Ne(e),t=e.getString("auto_pad","NOTSET"),r=e.getInts("dilations",[1,1]),n=e.getInt("group",1),s=e.getInts("kernel_shape",[]),a=e.getInts("pads",[0,0,0,0]),u=e.getInts("strides",[1,1]);return F({autoPad:t,dilations:r,group:n,kernelShape:s,pads:a,strides:u,...o})},vd=(i,e)=>{if(!i||i.length!==2&&i.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(i[0].dims.length!==4||i[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");let o=i[0].dims[1],t=i[1].dims[1]*e.group;if(o!==t)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(i.length===3&&(i[2].dims.length!==1||i[1].dims[0]!==i[2].dims[0]))throw new Error("invalid bias");let r=i[0].dims.length-2;if(e.dilations.length!==r)throw new Error(`dilations should be ${r}D`);if(e.strides.length!==r)throw new Error(`strides should be ${r}D`);if(e.pads.length!==r*2)throw new Error(`pads should be ${r*2}D`);if(e.kernelShape.length!==0&&e.kernelShape.length!==i[1].dims.length-2)throw new Error("invalid kernel shape");if(i[0].type!=="float32"||i[1].type!=="float32")throw new Error("Conv input(X,W) should be float tensor");if(i.length===3&&i[2].type!=="float32")throw new Error("Conv input(bias) should be float tensor")}});var Id,_d,Sd,vu,Od,Ad,Pd,Ed,Dd,Ld,Iu,$d,_u=x(()=>{"use strict";at();X();R();ge();Id=(i,e,o,t,r,n)=>(i-1)*e+o+(t-1)*r+1-n,_d=(i,e,o,t,r)=>{let n=Math.floor(i/2);e==="SAME_UPPER"?(o[t]=n,o[r]=i-n):e==="SAME_LOWER"&&(o[t]=i-n,o[r]=n)},Sd=(i,e,o,t,r,n,s,a)=>{let u=i.length-2,l=a.length===0;for(let f=0;f<u;++f){let c=l?i[f+2]*n[f]:a[f],d=Id(i[f+2],n[f],r[f],e[f],o[f],c);_d(d,t,r,f,f+u),l&&a.push(n[f]*(i[f+2]-1)+s[f]+(e[f]-1)*o[f]+1-r[f]-r[f+u])}},vu=(i,e,o)=>($d(e,o),Od(i,e,o)),Od=(i,e,o)=>{let t=Ld(o,e);return[Dd(i,e,t)]},Ad=(i,e)=>({name:"ConvTranspose",inputNames:i?["X","W","B"]:["X","W"],inputTypes:i?[0,0,0]:[0,0],cacheHint:e}),Pd=(i,e,o,t)=>{let n=e.length>2?"getB(output_channel)":"0.0",s=e[0].dims,a=e[1].dims,u=a[1],l=a[0]/t.group,f=[e[0].dims[0],e[1].dims[1]*t.group,...t.outputShape],c=D(i.session.backend.glContext.version),{activationFunction:d,applyActivation:m}=zt(t),y=`
const ivec2 strides = ivec2(${t.strides[0]}, ${t.strides[1]});
const ivec2 pads = ivec2(${t.pads[0]}, ${t.pads[1]});
${d}
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
int output_channel = coords.y;
ivec2 loc = coords.zw + pads;
int group_id = output_channel / ${u};
int wOutChannel = output_channel - group_id * ${u};
float value = ${n};
for (int inChannelOffset = 0; inChannelOffset < ${l}; inChannelOffset++) {
int input_channel = group_id * ${l} + inChannelOffset;
for (int wWOff = 0; wWOff < ${a[2]}; wWOff++) {
for (int wHOff = 0; wHOff < ${a[3]}; wHOff++) {
ivec2 wOff = ivec2(wWOff * ${t.dilations[0]}, wHOff * ${t.dilations[1]});
ivec2 wLoc = loc - wOff;
ivec2 wLocIn = wLoc / strides;
if (
wLocIn * strides == wLoc &&
wLocIn.x >= 0 && wLocIn.x < ${s[2]} &&
wLocIn.y >= 0 && wLocIn.y < ${s[3]}
) {
float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);
float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);
value += xVal * wVal;
}
}
}
}
${m}
${c.output} = vec4(value, .0, .0, .0);
}
`;return{...o,output:{dims:f,type:e[0].type,textureType:0},shaderSource:y,hasMain:!0}},Ed=(i,e,o)=>{let t=Ad(e.length>2,o.cacheKey);return{...t,get:()=>Pd(i,e,t,o)}},Dd=(i,e,o)=>i.run(Ed(i,e,o),e),Ld=(i,e)=>{let o=i.kernelShape.slice();if(i.kernelShape.length===0)for(let a=2;a<e[1].dims.length;++a)o.push(e[1].dims[a]);let t=i.pads.slice(),r=i.outputShape.slice(),n=e[0].dims;Sd(n,o,i.dilations,i.autoPad,t,i.strides,i.outputPadding,r);let s=Object.assign({},i);return Object.assign(s,{kernelShape:o,pads:t,outputShape:r,cacheKey:i.cacheKey}),s},Iu=i=>{let e=i.attributes,o=Ne(e),t=e.getString("auto_pad","NOTSET"),r=e.getInts("dilations",[1,1]),n=e.getInt("group",1),s=e.getInts("kernel_shape",[]),a=e.getInts("output_padding",[0,0]),u=e.getInts("output_shape",[]),l=e.getInts("pads",[0,0,0,0]),f=e.getInts("strides",[1,1]);return F({autoPad:t,dilations:r,group:n,kernelShape:s,outputPadding:a,outputShape:u,pads:l,strides:f,...o})},$d=(i,e)=>{if(!i||i.length!==2&&i.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(i[0].dims.length!==4||i[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");let o=i[0].dims[1],t=i[1].dims[0];if(o!==t)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let r=i[1].dims[1]*e.group;if(i.length===3&&(i[2].dims.length!==1||i[2].dims[0]!==r))throw new Error("invalid bias");let n=i[0].dims.length-2;if(e.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(e.strides.length!==n)throw new Error(`strides should be ${n}D`);if(e.pads.length!==n*2)throw new Error(`pads should be ${n*2}D`);if(e.outputPadding.length!==n)throw new Error(`output_padding should be ${n}D`);if(e.kernelShape.length!==0&&e.kernelShape.length!==i[1].dims.length-2)throw new Error("invalid kernel shape");if(e.outputShape.length!==0&&e.outputShape.length!==i[0].dims.length-2)throw new Error("invalid output shape");if(i[0].type!=="float32"||i[1].type!=="float32")throw new Error("ConvTranspose input(X,W) should be float tensor");if(i.length===3&&i[2].type!=="float32")throw new Error("ConvTranspose input(bias) should be float tensor")}});var Su,xe,Ou,kd,Au,Bd,Fd,Nd,jr=x(()=>{"use strict";at();U();R();Su={name:"Transpose",inputNames:["A"],inputTypes:[0]},xe=(i,e,o)=>(Nd(e),[i.run({...Su,cacheHint:o.cacheKey,get:()=>kd(i,e[0],o.perm)},e)]),Ou=i=>F({perm:i.attributes.getInts("perm",[])}),kd=(i,e,o)=>{let t=e.dims;o=Au(t,o);let r=Bd(t,o),n=t.length,s=`
${Fd("perm",o,n)}
float process(int indices[${n}]) {
int a[${n}];
perm(a, indices);
return _A(a);
}`;return{...Su,output:{dims:r,type:e.type,textureType:0},shaderSource:s}},Au=(i,e)=>(e&&e.length!==i.length&&(e=[...i.keys()].reverse()),e),Bd=(i,e)=>(e=Au(i,e),A.sortBasedOnPerm(i,e)),Fd=(i,e,o)=>{let t=[];t.push(`void ${i}(out int a[${o}], int src[${o}]) {`);for(let r=0;r<o;++r)t.push(` a[${e[r]}]=src[${r}];`);return t.push(" }"),t.join(`
`)},Nd=i=>{if(!i||i.length!==1)throw new Error("Transpose requires 1 input.");if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("input should be float tensor")}});var Pu,Eu,Cd,Du=x(()=>{"use strict";jr();Pu=(i,e,o)=>{Cd(e);let t=o.blocksize,r=t*t,n=o.mode==="DCR"?[0,3,4,1,5,2]:[0,1,4,2,5,3],s=o.mode==="DCR"?[e[0].dims[0],t,t,e[0].dims[1]/r,e[0].dims[2],e[0].dims[3]]:[e[0].dims[0],e[0].dims[1]/r,t,t,e[0].dims[2],e[0].dims[3]],a=i.reshapeUnpacked(e[0],s),u={perm:n,cacheKey:`${n}`},[l]=xe(i,[a],u),f=[e[0].dims[0],e[0].dims[1]/r,e[0].dims[2]*t,e[0].dims[3]*t];return[i.reshapeUnpacked(l,f)]},Eu=i=>{let e=i.attributes.getInt("blocksize");if(e<1)throw new Error(`blocksize must be >= 1, but got : ${e} for DepthToSpace`);let o=i.attributes.getString("mode","DCR");if(o!=="DCR"&&o!=="CRD")throw new Error(`unrecognized mode: ${o} for DepthToSpace`);return{mode:o,blocksize:e}},Cd=i=>{if(i.length!==1)throw new Error(`DepthToSpace expect 1 inputs, but got ${i.length}`);if(i[0].type==="string"||i[0].dims.length!==4)throw new TypeError("DepthToSpace input should be a 4-D numeric tensor")}});var Lu,$u,Rd,ku=x(()=>{"use strict";U();Lu=(i,e,o)=>{Rd(e,o);let t=A.flattenShape(e[0].dims,o);return[i.reshapeUnpacked(e[0],t)]},$u=i=>i.attributes.getInt("axis",1),Rd=(i,e)=>{if(!i||i.length!==1)throw new Error("Flatten requires 1 input.");let o=i[0].dims.length;if(o===0)throw new Error("scalar tensor is not supported.");if(e<-o||e>o)throw new Error("Invalid axis");if(i[0].type==="string")throw new Error("string tensor is not supported.")}});var te,rr=x(()=>{"use strict";te=["float32","float64","int32","int16","int8","uint16","uint32","uint8"]});var Bu,Fu,Gd,Md,Vd,Ud,Nu=x(()=>{"use strict";at();rr();U();R();Bu=(i,e,o)=>(Ud(e,o.axis),[i.run(Vd(i,e,o),e)]),Fu=i=>F({axis:i.attributes.getInt("axis",0)}),Gd={name:"Gather",inputNames:["A","B"],inputTypes:[0,0]},Md=(i,e,o,t)=>{let r=o[0].dims.slice(),n=o[1].dims.slice(),s=new Array(r.length+n.length-1);t=A.normalizeAxis(t,r.length);let a=[];for(let d=0;d<s.length;d++)d<t?(s[d]=r[d],a.push(`inputIdx[${d}] = outputIdx[${d}];`)):d<t+n.length?(s[d]=n[d-t],a.push(`indexDataIdx[${d-t}] = outputIdx[${d}];`)):(s[d]=r[d-n.length+1],a.push(`inputIdx[${d-n.length+1}] = outputIdx[${d}];`));let u=s.length||1,l=r.length,f=n.length||1,c=`
float process(int outputIdx[${u}]) {
int inputIdx[${l}];
int indexDataIdx[${f}];
indexDataIdx[0] = 0;
${a.join(`
`)}
int idx = int(_B(indexDataIdx));
inputIdx[${t}] = idx < 0 ? idx + ${r[t]} : idx;
return _A(inputIdx);
}`;return{...e,output:{dims:s,type:o[0].type,textureType:0},shaderSource:c}},Vd=(i,e,o)=>{let t={...Gd,cacheHint:o.cacheKey};return{...t,get:()=>Md(i,t,e,o.axis)}},Ud=(i,e)=>{if(!i||i.length!==2)throw new Error("Gather requires 2 inputs.");let o=i[0].dims.length;if(o<1)throw new Error("Invalid input shape.");if(e<-o||e>o-1)throw new Error("Invalid axis.");if(te.indexOf(i[0].type)===-1)throw new Error("Invaid input type.");if(i[1].type!=="int32"&&i[1].type!=="int16")throw new Error("Invaid input type.")}});var Oo,Cu,Ru,Gu,zd,Wd,Hd,Mu=x(()=>{"use strict";at();U();R();Oo=(i,e,o)=>(Hd(e,o),[i.run(zd(e,o),e)]),Cu=(i,e)=>{let o=i.attributes.getInt("transA",0)!==0,t=i.attributes.getInt("transB",0)!==0,r=i.attributes.getFloat("alpha",1),n=i.attributes.getFloat("beta",1);return F({transA:o,transB:t,alpha:r,beta:n,isOptionalC:e})},Ru=i=>Cu(i,!1),Gu=i=>Cu(i,!0),zd=(i,e)=>{let o={name:"Gemm",inputNames:i.length===3?["A","B","C"]:["A","B"],inputTypes:i.length===3?[0,0,0]:[0,0],key:e.cacheKey};return{...o,get:()=>Wd(o,i,e)}},Wd=(i,e,o)=>{let t=e[0].dims.slice(),r=e[1].dims.slice(),[n,s]=Nr.getShapeOfGemmResult(t,o.transA,r,o.transB,e.length===3?e[2].dims:void 0),a=[n,s];if(!a)throw new Error("Can't use gemm on the given tensors");let u=t[t.length-1],l="";o.transA&&(u=t[0]),o.transA&&o.transB?l="value += _A_T(a) * _B_T(b);":o.transA&&!o.transB?l="value += _A_T(a) * _B(b);":!o.transA&&o.transB?l="value += _A(a) * _B_T(b);":!o.transA&&!o.transB&&(l="value += _A(a) * _B(b);");let f=a.length,c=e.length===3?`int c[${e[2].dims.length}];`:"",d=e.length===3?"bcastIndices_C(indices, c);":"",m=e.length===3?"value += beta * _C(c);":"",y=`
float process(int indices[${f}]) {
int a[${f}];
int b[${f}];
${c}
copyVec(indices, a);
copyVec(indices, b);
${d}
float value = 0.0;
for (int k=0; k<${u}; ++k) {
a[${f-1}] = k;
b[${f-2}] = k;
${l}
}
value = value * alpha;
${m}
return value;
}`;return{...i,output:{dims:a,type:e[0].type,textureType:0},variables:[{name:"alpha",type:"float",data:o.alpha},{name:"beta",type:"float",data:o.beta}],shaderSource:y}},Hd=(i,e)=>{if(!i)throw new Error("Input is missing");if(e.isOptionalC&&(i.length<2||i.length>3))throw new Error("Invaid input shape.");if(!e.isOptionalC&&i.length!==3)throw new Error("Gemm requires 3 inputs");if(i.length===3&&i[2].dims.length!==1&&i[2].dims.length!==2)throw new Error("Invalid input shape of C");if(i[0].type!=="float32"&&i[0].type!=="float64"||i[1].type!=="float32"&&i[1].type!=="float64"||i.length===3&&i[2].type!=="float32"&&i[2].type!=="float64")throw new Error("Invalid input type.");if(i[0].type!==i[1].type||i.length===3&&i[0].type!==i[2].type)throw new Error("Input types are mismatched")}});var Vu,Uu,qd,jd,Xd,Kd,Jd,zu=x(()=>{"use strict";at();R();Vu=(i,e,o)=>(Jd(e),[i.run(Xd(i,e,o),e)]),Uu=i=>{let e=i.attributes.getFloat("scale"),o=i.attributes.getFloats("bias");return F({scale:e,bias:o})},qd={name:"ImageScaler",inputNames:["X"],inputTypes:[0]},jd=(i,e,o,t)=>{let r=o[0].dims.slice(),n=r.length,a=`
${Kd(t.bias.length)}
float process(int indices[${n}]) {
return _X(indices) * scale + getBias(bias, indices[1]);
}`;return{...e,output:{dims:r,type:o[0].type,textureType:0},variables:[{name:"bias",type:"float",arrayLength:t.bias.length,data:t.bias},{name:"scale",type:"float",data:t.scale}],shaderSource:a}},Xd=(i,e,o)=>{let t={...qd,cacheHint:o.cacheKey};return{...t,get:()=>jd(i,t,e,o)}},Kd=i=>{let e=[`float getBias(float bias[${i}], int channel) {`];for(let o=0;o<i;++o)o===0?e.push(` if (channel == ${o}) { return bias[${o}]; }`):o===i-1?e.push(` else { return bias[${o}]; }`):e.push(` else if (channel == ${o}) { return bias[${o}]; }`);return e.push(" }"),e.join(`
`)},Jd=i=>{if(!i||i.length!==1)throw new Error("ImageScaler requires 1 input.");if(i[0].dims.length!==4)throw new Error("Invalid input shape.");if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("Invalid input type.")}});var Hu,qu,Wu,Zd,Yd,Qd,th,eh,rh,ju=x(()=>{"use strict";X();R();Hu=(i,e,o)=>{rh(e);let t=i.run(Yd(e[0]),e);return[i.run(eh(i,e[0],o,t.dims),[e[0],t,e[1],e[2]])]},qu=i=>i.attributes.getFloat("epsilon",1e-5),Wu={name:"InstanceNormalization_MeanAndVariance",inputNames:["X"],inputTypes:[0]},Zd=(i,e)=>{let o=e.dims.slice(),t=o[1],r=o[2]*o[3],n=[o[0],t],s=`
vec4 process(int[2] indices) {
vec4 v = vec4(0.0);
int a[4];
a[0] = indices[0];
a[1] = indices[1];
float temp = 0.0;
for(int a2=0; a2<${o[2]}; a2++) {
a[2] = a2;
for(int a3=0; a3<${o[3]}; a3++) {
a[3] = a3;
float x = _X(a);
temp += x;
}
}
float mean = temp / float(${r});
temp = 0.0;
for(int a2=0; a2<${o[2]}; a2++) {
a[2] = a2;
for(int a3=0; a3<${o[3]}; a3++) {
a[3] = a3;
float x = _X(a);
temp += (x - mean) * (x - mean);
}
}
v.r = mean;
v.g = temp / float(${r});
return v;
}`;return{...i,output:{dims:n,type:e.type,textureType:4},shaderSource:s}},Yd=i=>({...Wu,get:()=>Zd(Wu,i)}),Qd={name:"InstanceNormalization_ComputeOutput",inputNames:["X","MeanAndVariance","Scale","B"],inputTypes:[0,4,0,0]},th=(i,e,o,t,r)=>{let n=D(i.session.backend.glContext.version),[s,a]=i.calculateTextureWidthAndHeight(r,4),[u,l]=[s/4,a],f=`
vec4 get_MeanAndVariance(int[2] mv) {
int offset = indicesToOffset_MeanAndVariance(mv);
vec2 coords = offsetToCoords(offset, ${u}, ${l});
return ${n.texture2D}(MeanAndVariance, coords);
}
float process(int[4] indices) {
int mv[2];
mv[0] = indices[0];
mv[1] = indices[1];
vec4 mean_and_variance = get_MeanAndVariance(mv);
float mean = mean_and_variance.r;
float variance = mean_and_variance.g;
int sb[1];
sb[0] = indices[1];
float scale = _Scale(sb);
float b = _B(sb);
return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b;
}`;return{...e,output:{dims:o.dims,type:o.type,textureType:0},variables:[{name:"epsilon",type:"float",data:t}],shaderSource:f}},eh=(i,e,o,t)=>{let r={...Qd,cacheHint:`${o}`};return{...r,get:()=>th(i,r,e,o,t)}},rh=i=>{if(!i||i.length!==3)throw new Error("InstanceNormalization requires 3 inputs.");let e=i[0],o=i[1],t=i[2];if(e.dims.length<3||o.dims.length!==1||t.dims.length!==1)throw new Error("Invalid input shape.");if(o.dims[0]!==e.dims[1]||t.dims[0]!==e.dims[1])throw new Error("Input shapes are mismatched.");if(e.type!=="float32"&&e.type!=="float64"||o.type!=="float32"&&o.type!=="float64"||t.type!=="float32"&&t.type!=="float64")throw new Error("Invalid input type.");if(i[0].dims.length!==4)throw new Error("Only support 4-D input shape.")}});function nh(i,e){let o=i[0].dims[1],t=i[0].dims.length,r=-Math.floor((e.size-1)/2),n=Math.ceil((e.size-1)/2),s=`float(${e.alpha}) / float(${e.size})`,a=`float(${e.bias})`,u=`float(${e.beta})`,l=`
float process(int indices[${t}]) {
int c = indices[1];
float x = _X(indices);
float square_sum = 0.0;
for (int i = ${r}; i <= ${n}; i++) {
int idx = c + i;
if (c >= 0 && c < ${o}) {
indices[1] = idx;
float j = _X(indices);
square_sum += j * j;
}
}
return x / pow(${a} + ${s} * square_sum, ${u});
}`;return{...Ju,cacheHint:e.cacheKey,output:{dims:i[0].dims,type:i[0].type,textureType:0},shaderSource:l}}function oh(i,e){return{...Ju,cacheHint:e.cacheKey,get:()=>nh(i,e)}}var Xu,Ku,Ju,ih,Zu=x(()=>{"use strict";at();R();Xu=(i,e,o)=>(ih(e),[i.run(oh(e,o),e)]),Ku=i=>{let e=i.attributes.getFloat("alpha",1e-4),o=i.attributes.getFloat("beta",.75),t=i.attributes.getFloat("bias",1),r=i.attributes.getInt("size");return F({alpha:e,beta:o,bias:t,size:r})},Ju={name:"LRN",inputNames:["X"],inputTypes:[0]};ih=i=>{if(!i||i.length!==1)throw new Error("LRN requires 1 input.");if(i[0].dims.length!==4)throw new Error('currently only support LRN for input with "NCHW" format');if(i[0].type!=="float32")throw new Error("input should be float type")}});var ah,Ao,Yu,Qu,tl,sh,uh,lh,fh,ch,ph,dh,hh,el=x(()=>{"use strict";at();U();X();R();ah={name:"Pad",inputNames:["A"],inputTypes:[0]},Ao=(i,e,o)=>(lh(e),[i.run({...ah,cacheHint:o.cacheKey,get:()=>uh(i,e[0],o)},e)]),Yu=i=>{let e=i.attributes.getString("mode","constant"),o=i.attributes.getFloat("value",0),t=i.attributes.getInts("pads");return F({mode:e,value:o,pads:t})},Qu=(i,e,o)=>{fh(e);let t=sh(i,e,o);return Ao(i,[e[0]],t)},tl=i=>i.attributes.getString("mode","constant"),sh=(i,e,o)=>{if(!i.session.isInitializer(e[1].dataId)||e.length>=3&&!i.session.isInitializer(e[2].dataId))throw new Error("dynamic pad attributes are not allowed");let t=Array.from(e[1].integerData),r=e.length>=3?e[2].floatData[0]:0;return F({mode:o,pads:t,value:r})},uh=(i,e,o)=>{let t=A.padShape(e.dims.slice(),o.pads),r=t.length,s=`
${ch(i,e,o)}
float process(int[${r}] indices) {
return padA(indices);
}`;return{name:"Pad",inputNames:["A"],inputTypes:[0],output:{dims:t,type:e.type,textureType:0},shaderSource:s}},lh=i=>{if(!i||i.length!==1)throw new Error("Pad requires 1 input");if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("Invalid input type.")},fh=i=>{if(!i||i.length!==2&&i.length!==3)throw new Error("Pad requires 2 or 3 inputs");if(i[1].type!=="int32")throw new Error("Invalid input type.");if(i.length>=3&&i[2].type==="string")throw new Error("Invalid input type.")},ch=(i,e,o)=>{let t=D(i.session.backend.glContext.version),[r,n]=i.calculateTextureWidthAndHeight(e.dims,0),s=A.computeStrides(e.dims);switch(o.mode){case"constant":return ph(t,e.dims,s,r,n,o.pads,o.value);case"reflect":return dh(t,e.dims,s,r,n,o.pads);case"edge":return hh(t,e.dims,s,r,n,o.pads);default:throw new Error("Invalid mode")}},ph=(i,e,o,t,r,n,s)=>{let a=e.length,u="";for(let l=a-1;l>=0;--l)u+=`
k = m[${l}] - ${n[l]};
if (k < 0) return constant;
if (k >= ${e[l]}) return constant;
offset += k * ${o[l]};
`;return`
float padA(int m[${a}]) {
const float constant = float(${s});
int offset = 0;
int k = 0;
${u}
vec2 coords = offsetToCoords(offset, ${t}, ${r});
float value = getColorAsFloat(${i.texture2D}(A, coords));
return value;
}
`},dh=(i,e,o,t,r,n)=>{let s=e.length,a="";for(let u=s-1;u>=0;--u)a+=`
k = m[${u}] - ${n[u]};
if (k < 0) { k = -k; }
{
const int _2n_1 = ${2*(e[u]-1)};
k = int( mod( float(k), float(_2n_1) ) ) ;
if(k >= ${e[u]}) { k = _2n_1 - k; }
}
offset += k * ${o[u]};
`;return`
float padA(int m[${s}]) {
int offset = 0;
int k = 0;
${a}
vec2 coords = offsetToCoords(offset, ${t}, ${r});
float value = getColorAsFloat(${i.texture2D}(A, coords));
return value;
}
`},hh=(i,e,o,t,r,n)=>{let s=e.length,a="";for(let u=s-1;u>=0;--u)a+=`
k = m[${u}] - ${n[u]};
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if (k >= ${e[u]}) k = ${e[u]-1};
offset += k * ${o[u]};
`;return`
float padA(int m[${s}]) {
int offset = 0;
int k = 0;
${a}
vec2 coords = offsetToCoords(offset, ${t}, ${r});
float value = getColorAsFloat(${i.texture2D}(A, coords));
return value;
}
`}});var nl,ol,il,al,sl,ul,ll,fl,cl,mh,rl,pl,Kr,dl,Xr,bh,hl=x(()=>{"use strict";at();U();R();nl=(i,e,o)=>{Kr(e);let t={name:"AveragePool",inputNames:["X"],inputTypes:[0],cacheHint:o.cacheKey};return[i.run({...t,get:()=>il(e,t,!1,o)},e)]},ol=i=>{let e=i.attributes.getString("auto_pad","NOTSET"),o=i.attributes.getInt("ceil_mode",0),t=i.attributes.getInt("count_include_pad",0)!==0,r=i.attributes.getInts("kernel_shape"),n=i.attributes.getInts("strides",[]),s=i.attributes.getInts("pads",[]);if(o!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return F({autoPad:e,ceilMode:o,countIncludePad:t,kernelShape:r,strides:n,pads:s})},il=(i,e,o,t)=>{let[r,n]=cl(i,t,o),s=A.size(r.kernelShape),a="value += _X(x);",u="";r.countIncludePad?u+=`value /= float(${s});`:u+=`value /= float(${s} - pad);`;let f=`
${dl(i[0].dims,r,a,u,"0.0")}
`;return{...e,output:{dims:n,type:i[0].type,textureType:0},shaderSource:f}},al=(i,e,o)=>{Kr(e);let t={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[0],cacheHint:`${o.countIncludePad}`};return[i.run({...t,get:()=>il(e,t,!0,o)},e)]},sl=i=>{let e=i.attributes.getInt("count_include_pad",0)!==0;return F({autoPad:"",ceilMode:0,countIncludePad:e,kernelShape:[],strides:[],pads:[]})},ul=(i,e,o)=>{Kr(e);let t={name:"MaxPool",inputNames:["X"],inputTypes:[0],cacheHint:o.cacheKey};return[i.run({...t,get:()=>fl(e,t,!1,o)},e)]},ll=i=>{let e=i.attributes.getString("auto_pad","NOTSET"),o=i.attributes.getInt("ceil_mode",0),t=i.attributes.getInts("kernel_shape"),r=i.attributes.getInts("strides",[]),n=i.attributes.getInts("pads",[]),s=i.attributes.getInt("storage_order",0),a=i.attributes.getInts("dilations",[]);if(s!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(o!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");return F({autoPad:e,ceilMode:o,countIncludePad:!1,kernelShape:t,strides:r,pads:n,storageOrder:s,dilations:a})},fl=(i,e,o,t)=>{let[r,n]=cl(i,t,o),s=`
value = max(_X(x), value);
`,a="",l=`
${dl(i[0].dims,r,s,a,"-1e5")}
`;return{...e,output:{dims:n,type:i[0].type,textureType:0},shaderSource:l}},cl=(i,e,o)=>{let t=i[0].dims.slice(),r=Object.hasOwnProperty.call(e,"dilations"),n=e.kernelShape.slice(),s=e.strides.slice(),a=r?e.dilations.slice():[],u=e.pads.slice();de.adjustPoolAttributes(o,t,n,s,a,u);let l=de.computePoolOutputShape(o,t,s,a,n,u,e.autoPad),f=Object.assign({},e);return r?Object.assign(f,{kernelShape:n,strides:s,pads:u,dilations:a,cacheKey:e.cacheKey}):Object.assign(f,{kernelShape:n,strides:s,pads:u,cacheKey:e.cacheKey}),[f,l]},mh={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""},rl={name:"GlobalMaxPool",inputNames:["X"],inputTypes:[0]},pl=(i,e)=>(Kr(e),[i.run({...rl,get:()=>fl(e,rl,!0,mh)},e)]),Kr=i=>{if(!i||i.length!==1)throw new Error("Pool ops requires 1 input.");if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("Invalid input type.")},dl=(i,e,o,t,r)=>{let n=i.length;if(e.kernelShape.length<=2){let s=e.kernelShape[e.kernelShape.length-1],a=e.strides[e.strides.length-1],u=e.pads[e.pads.length/2-1],l=e.pads[e.pads.length-1],f=i[n-1],c="",d="",m="";if(u+l!==0?c=`
for (int i = 0; i < ${s}; i++) {
x[${n} - 1] = indices[${n} - 1] * ${a} - ${u} + i;
if (x[${n} - 1] < 0 || x[${n} - 1] >= ${f}) {
pad++;
continue;
}
${o}
}`:c=`
for (int i = 0; i < ${s}; i++) {
x[${n} - 1] = indices[${n} - 1] * ${a} - ${u} + i;
${o}
}`,e.kernelShape.length===2){let g=e.kernelShape[e.kernelShape.length-2],T=e.strides[e.strides.length-2],_=e.pads[e.pads.length/2-2],w=e.pads[e.pads.length-2],v=i[n-2];_+w!==0?d=`
for (int j = 0; j < ${g}; j++) {
x[${n} - 2] = indices[${n} - 2] * ${T} - ${_} + j;
if (x[${n} - 2] < 0 || x[${n} - 2] >= ${v}) {
pad+= ${s};
continue;
}
`:d=`
for (int j = 0; j < ${g}; j++) {
x[${n} - 2] = indices[${n} - 2] * ${T} - ${_} + j;
`,m=`
}
`}return`
float process(int indices[${n}]) {
int x[${n}];
copyVec(indices, x);
float value = ${r};
int pad = 0;
${d}
${c}
${m}
${t}
return value;
}
`}else{let s=A.size(e.kernelShape),a=A.computeStrides(e.kernelShape),u=a.length,l=e.pads.length,f=bh(u),c=Xr(i,"inputDims"),d=Xr(e.pads,"pads"),m=Xr(a,"kernelStrides"),y=Xr(e.strides,"strides"),g=e.pads.reduce((w,v)=>w+v),T="";return g?T=`
if (x[j] >= inputDims[j] || x[j] < 0) {
pad++;
isPad = true;
break;
}
}
if (!isPad) {
${o}
}`:T=`
}
${o}
`,`
${f}
float process(int indices[${n}]) {
int x[${n}];
copyVec(indices, x);
int offset[${u}];
int pads[${l}];
int inputDims[${n}];
int kernelStrides[${u}];
int strides[${u}];
${d}
${c}
${y}
${m}
float value = ${r};
int pad = 0;
bool isPad = false;
for (int i = 0; i < ${s}; i++) {
offsetToIndices(i, kernelStrides, offset);
isPad = false;
for (int j = ${n} - ${u}; j < ${n}; j++) {
x[j] = indices[j] * strides[j - ${n} + ${u}]
+ offset[j - ${n} + ${u}] - pads[j - 2];
${T}
}
${t}
return value;
}
`}},Xr=(i,e)=>{let o="";for(let t=0;t<i.length;t++)o+=`
${e}[${t}] = ${i[t]};
`;return o},bh=i=>`
void offsetToIndices(int offset, int[${i}] strides, out int[${i}] indices) {
if (${i} == 0) {
return;
}
for (int i = 0; i < ${i} - 1; ++i) {
indices[i] = offset / strides[i];
offset -= indices[i] * strides[i];
}
indices[${i} - 1] = offset;
}`});var Te,ee,yh,gh,ml,bl,yl,gl,xl,Tl,wl,vl=x(()=>{"use strict";at();rr();U();R();Te=(i,e,o,t,r)=>{gh(e);let n={name:t,inputNames:["A"],inputTypes:[0]};return[i.run({...n,cacheHint:o.cacheKey,get:()=>yh(i,e,o,t,r,n)},e)]},ee=i=>{let e=i.attributes.getInts("axes",[]),o=i.attributes.getInt("keepdims",1)===1;return F({axes:e,keepDims:o})},yh=(i,e,o,t,r,n)=>{let s=[],a=e[0].dims.length||1,u=[],l=A.normalizeAxes(o.axes,e[0].dims.length),f=r(e,l),c=f[1];for(let y=0;y<e[0].dims.length;y++)l.indexOf(y)>=0||l.length===0?(o.keepDims&&s.push(1),c=`
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${c}
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float process(int outputIdx[${s.length||1}]) {
float value; // final result
int inputIdx[${a}]; // addressing input data
${u.join(`
`)}
${f[0]} // init ops for reduce max/min
${c}
${f[2]} // final computation for reduce mean
return value;
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int output_pitches[${l}];
int input_pitches[${l}];
`;for(let g=l-1;g>=0;g--)f[g]=g===l-1?1:f[g+1]*s[g+1],c[g]=g===l-1?1:c[g+1]*e[0].dims[g+1],d+=`
output_pitches[${g}] = ${f[g]};
input_pitches[${g}] = ${c[g]};
`;let m=`
float getInputFloat(int index) {
vec2 coords = offsetToCoords(index, ${r}, ${n});
float value = getColorAsFloat(${t.texture2D}(X, coords));
return value;
}
`,y=o.mode==="nearest"?`
${m}
float process(int indices[${l}]) {
int input_index = 0;
int output_index = coordsToOffset(TexCoords, ${a}, ${u});
${d}
int d, m;
for (int dim = 0; dim < ${l}; ++dim) {
d = output_index / output_pitches[dim];
m = output_index - d * output_pitches[dim];
output_index = m;
if (scales[dim] != 1 && d > 0) {
int d2 = d / scales[dim];
m = d - d2 * scales[dim];
d = d2;
}
input_index += input_pitches[dim] * d;
}
return getInputFloat(input_index);
}`:l===4?`
${m}
float process(int indices[4]) {
int input_index = 0;
int output_index = coordsToOffset(TexCoords, ${a}, ${u});
${d}
int m;
int index_of_dim0, index_of_dim1, index_of_dim2, index_of_dim3;
index_of_dim0 = output_index / output_pitches[0];
m = output_index - index_of_dim0 * output_pitches[0];
index_of_dim1 = m / output_pitches[1];
m = m - index_of_dim1 * output_pitches[1];
index_of_dim2 = m / output_pitches[2];
m = m - index_of_dim2 * output_pitches[2];
index_of_dim3 = m;
int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset;
index_of_input_dim2 = index_of_dim2 / scales[2];
y_offset = index_of_dim2 - index_of_input_dim2 * scales[2];
index_of_input_dim3 = index_of_dim3 / scales[3];
x_offset = index_of_dim3 - index_of_input_dim3 * scales[3];
input_index = index_of_dim0 * input_pitches[0] +
index_of_dim1 * input_pitches[1] +
index_of_input_dim2 * input_pitches[2] +
index_of_input_dim3;
float x00 = getInputFloat(input_index);
float x10, x01, x11;
bool end_of_dim2 = false;
if (index_of_input_dim2 == (${e[0].dims[2]} - 1)) {
// It's the end in dimension 2
x01 = x00;
end_of_dim2 = true;
} else {
x01 = getInputFloat(input_index + input_pitches[2]);
}
if (index_of_input_dim3 == (input_pitches[2] - 1)) {
// It's the end in dimension 3
x10 = x00;
x11 = x01;
}
else {
x10 = getInputFloat(input_index + 1);
x11 = end_of_dim2 ? x10 : getInputFloat(input_index + input_pitches[2] + 1);
}
float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[2]);
float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[2]);
return y0 + float(x_offset) * (y1 - y0) / float(scales[3]);
}`:`
${m}
float process(int indices[2]) {
int input_index = 0;
int output_index = coordsToOffset(TexCoords, ${a}, ${u});
${d}
int m;
int index_of_dim0, index_of_dim1;
index_of_dim0 = output_index / output_pitches[0];
m = output_index - index_of_dim0 * output_pitches[0];
index_of_dim1 = m;
int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset;
index_of_input_dim0 = index_of_dim0 / scales[0];
y_offset = index_of_dim0 - index_of_input_dim0 * scales[0];
index_of_input_dim1 = index_of_dim1 / scales[1];
x_offset = index_of_dim1 - index_of_input_dim1 * scales[1];
input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1;
float x00 = getInputFloat(input_index);
float x10, x01, x11;
bool end_of_dim0 = false;
if (index_of_input_dim0 == (${e[0].dims[0]} - 1)) {
// It's the end in dimension 0
x01 = x00;
end_of_dim0 = true;
} else {
x01 = getInputFloat(input_index + input_pitches[0]);
}
if (index_of_input_dim1 == (input_pitches[0] - 1)) {
// It's the end in dimension 1
x10 = x00;
x11 = x01;
}
else {
x10 = getInputFloat(input_index + 1);
x11 = end_of_dim0 ? x10 : getInputFloat(input_index + input_pitches[0] + 1);
}
float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[0]);
float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[0]);
return y0 + float(x_offset) * (y1 - y0) / float(scales[1]);
}`;return{...Sl,output:{dims:s,type:e[0].type,textureType:0},shaderSource:y,variables:[{name:"scales",type:"int",arrayLength:o.scales.length,data:o.scales.map(g=>Math.ceil(g))}]}},Eo=(i,e)=>{if(!i||e.opset<9&&i.length!==1||e.opset>=9&&e.opset<11&&i.length!==2||e.opset>=11&&i.length<2)throw new Error("invalid inputs.");if(e.scales.length>0&&i[0].dims.length!==e.scales.length)throw new Error("Invalid input shape.");if(i[0].type==="string")throw new Error("Invalid input tensor types.")},Jr=(i,e,o)=>{if(o){for(let t of i)if(t<=0)throw new Error("Scale value should be greater than 0.")}else for(let t of i)if(t<1)throw new Error("Scale value should be greater than or equal to 1.");if((e==="linear"||e==="cubic")&&i.length!==2&&(i.length!==4||i[0]!==1||i[1]!==1))throw new Error(`'Linear' mode and 'Cubic' mode only support 2-D inputs ('Bilinear', 'Bicubic') or 4-D inputs with the corresponding outermost 2 scale values being 1 in the ${o?"Resize":"Upsample"} opeartor.`)}});var Lo,$o,Pl,El,Th,wh,vh,Ih,Dl=x(()=>{"use strict";X();R();Vt();ye();Do();Lo={name:"Resize",inputNames:["A"],inputTypes:[2]},$o=(i,e,o)=>(Eo(e,o),[i.run({...Lo,cacheHint:o.cacheKey,get:()=>Th(i,e,o)},e)]),Pl=i=>nr(i,10),El=i=>nr(i,11),Th=(i,e,o)=>{let t=D(i.session.backend.glContext.version),[r,n]=wh(e,o);if(r.every(v=>v===1)&&o.coordinateTransformMode!=="tf_crop_and_resize")return{...Lo,output:{dims:n,type:e[0].type,textureType:2},hasMain:!0,shaderSource:`void main() {
vec4 v = ${t.texture2D}(X, TexCoords);
${t.output} = v;
}`};let a=n.length;if(a<2)throw new Error(`output dimension should be at least 2, but got ${a}`);let u=n[a-2],l=n[a-1],f=e[0].dims;if(a!==f.length)throw new Error(`output dimension should match input ${f.length}, but got ${a}`);let c=f[a-2],d=f[a-1],m=r[a-2],y=r[a-1],g="";if(o.mode!=="linear")throw new Error(`resize (packed) does not support mode: '${o.mode}'`);switch(o.coordinateTransformMode){case"asymmetric":g=`
vec4 getSourceFracIndex(ivec4 coords) {
return vec4(coords) / scaleWHWH;
}
`;break;case"half_pixel":g=`
vec4 getSourceFracIndex(ivec4 coords) {
return (vec4(coords) + 0.5) / scaleWHWH - 0.5;
}
`;break;case"pytorch_half_pixel":g=`
vec4 getSourceFracIndex(ivec4 coords) {
vec4 fcoords = vec4(coords);
return vec4(
${l}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,
${u}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,
${l}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,
${u}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0
);
}
`;break;case"align_corners":g=`
vec4 getSourceFracIndex(ivec4 coords) {
vec4 resized = vec4(${l}.0 - 1.0, ${u}.0 - 1.0, ${l}.0 - 1.0,
${u}.0 - 1.0);
vec4 original = vec4(${d}.0 - 1.0, ${c}.0 - 1.0, ${d}.0 - 1.0,
${c}.0 - 1.0);
vec4 new_scale = original / resized;
return vec4(coords) * new_scale;
}
`;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode: '${o.coordinateTransformMode}'`)}let T=ht(a),_=Ut(),w=`
const vec2 inputWH = vec2(${c}.0, ${d}.0);
const vec4 scaleWHWH = vec4(float(${m}), float(${y}), float(${m}), float(${y}));
${_}
${g}
float getAValue(int x10, int r, int c, int d) {
return getChannel(getA(x10, r, c, d), vec2(c, d));
}
void main() {
${T} rc = getOutputCoords();
int batch = rc[0];
int depth = rc[1];
// retrieve the 4 coordinates that is used in the 4 packed output values.
ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1);
// calculate the source index in fraction
vec4 sourceFrac = getSourceFracIndex(coords);
// get the lower and upper bound of the 4 values that will be packed into one texel.
ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy)));
ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw)));
ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy)));
ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw)));
bool hasNextRow = rc.w < ${u-1};
bool hasNextCol = rc.z < ${l-1};
// pack x00, x01, x10, x11's top-left corner into one vec4 structure
vec4 topLeft = vec4(
getAValue(batch, depth, x00.x, x00.y),
hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0,
hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0,
(hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0);
// pack x00, x01, x10, x11's top-right corner into one vec4 structure
vec4 topRight = vec4(
getAValue(batch, depth, x00.x, x00.w),
hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0,
hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0,
(hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0);
// pack x00, x01, x10, x11's bottom-left corner into one vec4 structure
vec4 bottomLeft = vec4(
getAValue(batch, depth, x00.z, x00.y),
hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0,
hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0,
(hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0);
// pack x00, x01, x10, x11's bottom-right corner into one vec4 structure
vec4 bottomRight = vec4(
getAValue(batch, depth, x00.z, x00.w),
hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0,
hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0,
(hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0);
// calculate the interpolation fraction on u and v direction
vec4 frac = vec4(sourceFrac) - floor(sourceFrac);
vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0));
vec4 top = mix(topLeft, topRight, clampFrac.ywyw);
vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw);
vec4 newValue = mix(top, bottom, clampFrac.xxzz);
${t.output} = vec4(newValue);
}
`;return{...Lo,output:{dims:n,type:e[0].type,textureType:2},hasMain:!0,shaderSource:w}},wh=(i,e)=>{let t=i[0].dims,r=e.scales,n;if(r.length===0){let a=i[e.scalesInputIdx];if(a&&a.size!==0){if(i[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");r=vh(a,e.mode,e.isResize)}else{let u=i[e.sizesInputIdx];if(!u||u.size===0)throw new Error("Either scales or sizes MUST be provided as input.");n=Array.from(u.integerData),r=Ih(n,t,e.mode,e.isResize)}}else if(i[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");let s=n||t.map((a,u)=>Math.floor(a*r[u]));return[r,s]},vh=(i,e,o)=>{let t=Array.from(i.floatData);return Jr(t,e,o),t},Ih=(i,e,o,t)=>{let r=e.length,n=new Array(r);for(let s=0,a=r;s<a;s++)if(e[s]===0){if(i[s]!==0)throw new Error("Input dim is zero but required output dim is non-zero.");n[s]=1}else n[s]=i[s]/e[s];return Jr(n,o,t),n}});var Ll,_h,$l=x(()=>{"use strict";be();Ll=(i,e)=>(_h(e),[new et([e[0].dims.length],"int32",void 0,void 0,new Int32Array(e[0].dims))]),_h=i=>{if(!i||i.length!==1)throw new Error("Shape requires 1 input.")}});var ko,kl,Bl,Fl,Sh,Nl,Oh,Ah,Cl=x(()=>{"use strict";at();rr();U();R();ko={name:"Slice",inputNames:["A"],inputTypes:[0]},kl=(i,e,o)=>(Sh(e),[i.run({...ko,cacheHint:o.cacheKey,get:()=>Fl(i,e[0],o)},e)]),Bl=i=>{let e=i.attributes.getInts("starts"),o=i.attributes.getInts("ends"),t=i.attributes.getInts("axes",[]);return F({starts:e,ends:o,axes:t})},Fl=(i,e,o)=>{let t=o.axes.length===0?e.dims.slice(0).map((c,d)=>d):o.axes,r=A.normalizeAxes(t,e.dims.length),n=o.starts.map((c,d)=>c>e.dims[r[d]]-1?e.dims[r[d]]:A.normalizeAxis(c,e.dims[r[d]])),s=o.ends.map((c,d)=>c>e.dims[r[d]]-1?e.dims[r[d]]:A.normalizeAxis(c,e.dims[r[d]])),a=e.dims.slice(),u=[];for(let c=0;c<r.length;c++)a[r[c]]=s[c]-n[c],n[c]>0&&u.push(`outputIdx[${r[c]}] += ${n[c]};`);let f=`
float process(int outputIdx[${a.length}]) {
${u.join(`
`)}
return _A(outputIdx);
}`;return{...ko,output:{dims:a,type:e.type,textureType:0},shaderSource:f}},Sh=i=>{if(!i||i.length!==1)throw new Error("Slice requires 1 input.");if(te.indexOf(i[0].type)===-1)throw new Error("Invalid input type.")},Nl=(i,e)=>{Ah(e);let o=Oh(i,e);return[i.run({...ko,cacheHint:o.cacheKey,get:()=>Fl(i,e[0],o)},[e[0]])]},Oh=(i,e)=>{if(!i.session.isInitializer(e[1].dataId)||!i.session.isInitializer(e[2].dataId)||e.length>=4&&!i.session.isInitializer(e[3].dataId)||e.length>=5&&!i.session.isInitializer(e[4].dataId))throw new Error("dynamic slice attributes are not allowed");if(e.length>=5&&e[4].integerData.some(s=>s!==1))throw new Error("currently non-1 steps is not supported for Slice");let o=Array.from(e[1].integerData),t=Array.from(e[2].integerData),r=e.length>=4?Array.from(e[3].integerData):[],n=`${r};${o};${t}`;return{starts:o,ends:t,axes:r,cacheKey:n}},Ah=i=>{if(!i||i.length<3||i.length>5)throw new Error("Invalid input number.");if(i[1].type!=="int32"||i[1].dims.length!==1)throw new Error("Invalid input type.");if(i[2].type!=="int32"||i[2].dims.length!==1)throw new Error("Invalid input type.");if(i.length>=4&&(i[3].type!=="int32"||i[3].dims.length!==1))throw new Error("Invalid input type.");if(i.length>=5&&(i[4].type!=="int32"||i[4].dims.length!==1))throw new Error("Invalid input type.")}});var Rl,Gl,Ml,Vl,Ul,zl,Wl,Hl,Ph,Eh,Dh,ql,jl=x(()=>{"use strict";at();U();X();R();jr();Rl={name:"SoftmaxComputeMax",inputNames:["A"],inputTypes:[0]},Gl={name:"SoftmaxComputeScale",inputNames:["A","Max"],inputTypes:[0,0]},Ml={name:"SoftMax",inputNames:["A","Max","Norm"],inputTypes:[0,0,0]},Vl=(i,e,o)=>{ql(e);let t=e[0].dims.slice(),r=A.normalizeAxis(o.axis,t.length),n=A.sizeToDimension(t,r),s=A.sizeFromDimension(t,r);return Hl(i,e,o,n,s)},Ul=i=>F({axis:i.attributes.getInt("axis",1)}),zl=i=>F({axis:i.attributes.getInt("axis",-1)}),Wl=(i,e,o)=>{ql(e);let t=e[0].dims.slice(),r=A.normalizeAxis(o.axis,t.length),n=t.length,s=r!==n-1,a=[],u=[],l=[],f;s&&(u=Array.from({length:n}).map((y,g)=>g),u[r]=n-1,u[n-1]=r,u.map(y=>a.push(t[y])),f=F({perm:u}),l=xe(i,e,f));let c=s?A.sizeToDimension(a,n-1):A.sizeToDimension(t,n-1),d=s?A.sizeFromDimension(a,n-1):A.sizeFromDimension(t,n-1),m=Hl(i,s?l:e,o,c,d);return s?xe(i,m,f):m},Hl=(i,e,o,t,r)=>{let n=Ph(i,e[0],t,r,[t]),s=i.run({...Rl,cacheHint:o.cacheKey,get:()=>n},e),a=Eh(i,e[0],t,r,n.output.dims,[t]),u=i.run({...Gl,cacheHint:o.cacheKey,get:()=>a},[e[0],s]),l=Dh(i,e[0],t,r,n.output.dims,a.output.dims);return[i.run({...Ml,cacheHint:o.cacheKey,get:()=>l},[e[0],s,u])]},Ph=(i,e,o,t,r)=>{let[n,s]=i.calculateTextureWidthAndHeight(e.dims,0),a=r.length;if(o<1||t<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(r.length!==1)throw new Error("Dimensionality of the output should be 1");if(r[0]!==o)throw new Error("Shape of the output should be equal to logical row count");let u=D(i.session.backend.glContext.version),l=`
float process(int[${a}] indices) {
int logical_row_start_offset = indices[0] * ${t};
float max = getColorAsFloat(${u.texture2D}(A, offsetToCoords(logical_row_start_offset, ${n},
${s} )));
for(int i=1; i<${t}; ++i)
{
float current = getColorAsFloat(${u.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
${n}, ${s})));
if(current > max)
max = current;
}
return max;
}`;return{...Rl,output:{dims:r,type:e.type,textureType:0},shaderSource:l}},Eh=(i,e,o,t,r,n)=>{let[s,a]=i.calculateTextureWidthAndHeight(e.dims,0),u=n.length;if(o<1||t<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(n.length!==1)throw new Error("Dimensionality of the output should be 1");if(n[0]!==o)throw new Error("Shape of the output should be equal to logical row count");if(r.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(r[0]!==o)throw new Error("Shape of the intermediate results should be equal to logical row count");let l=D(i.session.backend.glContext.version),f=`
float process(int[${u}] indices) {
int logical_row_start_offset = indices[0] * ${t};
float norm_factor = 0.0;
float max = _Max(indices);
for(int i=0; i<${t}; ++i)
{
norm_factor += exp(getColorAsFloat(${l.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
${s}, ${a}))) - max);
}
return norm_factor;
}`;return{...Gl,output:{dims:n,type:e.type,textureType:0},shaderSource:f}},Dh=(i,e,o,t,r,n)=>{let[s,a]=i.calculateTextureWidthAndHeight(e.dims,0),u=e.dims.length;if(o<1||t<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(r.length!==1||n.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(r[0]!==o||n[0]!==o)throw new Error("Shape of the intermediate results should be equal to logical row count");let l=`
float process(int[${u}] indices) {
// get offset of current logical tensor index from the 2-D texture coordinates (TexCoords)
int offset = coordsToOffset(TexCoords, ${s}, ${a});
//determine the logical row for this index
int logical_row_index[1];
logical_row_index[0] = offset / ${t};
float norm_factor = _Norm(logical_row_index);
// avoid possible division by 0
// if norm_facor is 0, all elements are zero
// if so, return 0
if(norm_factor == 0.0)
return 0.0;
return exp(_A(indices) - _Max(logical_row_index)) / norm_factor;
}`;return{...Ml,output:{dims:e.dims,type:e.type,textureType:0},shaderSource:l}},ql=i=>{if(!i||i.length!==1)throw new Error("Softmax requires 1 input.");if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("Invalid input type")}});var Xl,Kl,Jl,Lh,$h,kh,Zl=x(()=>{"use strict";at();U();R();Xl={name:"Split",inputNames:["A"],inputTypes:[0]},Kl=(i,e,o)=>{kh(e);let t=A.normalizeAxis(o.axis,e[0].dims.length),r=Lh(i,e,t,o),n=[];for(let s=0;s<r;++s)n.push(i.run({...Xl,cacheHint:`${o.cacheKey};${s}`,get:()=>$h(i,e[0],o,t,s)},e));return n},Jl=i=>{let e=i.attributes.getInt("axis",0),o=i.attributes.getInts("split",[]),t=i.outputs.length;return F({axis:e,split:o,numOutputs:t})},Lh=(i,e,o,t)=>{let[,r]=Je.splitShape(e[0].dims,o,t.split,t.numOutputs);return r.length},$h=(i,e,o,t,r)=>{let[n,s]=Je.splitShape(e.dims,t,o.split,o.numOutputs),a=s[r],u=n[r],f=`
float process(int indices[${u.length}]) {
indices[${t}] += ${a};
return _A(indices);
}
`;return{...Xl,cacheHint:`${o.cacheKey}:${r}`,output:{dims:u,type:e.type,textureType:0},shaderSource:f}},kh=i=>{if(!i||i.length!==1)throw new Error("Split requires one input.");if(i[0].type!=="int8"&&i[0].type!=="uint8"&&i[0].type!=="int16"&&i[0].type!=="uint16"&&i[0].type!=="int32"&&i[0].type!=="uint32"&&i[0].type!=="float32"&&i[0].type!=="float64"&&i[0].type!=="bool")throw new Error("Invalid input type.")}});var Bo,Yl,Ql,Bh,Fh,tf=x(()=>{"use strict";U();Bo=(i,e,o)=>{Bh(e);let t=A.squeezeShape(e[0].dims,o);return[i.reshapeUnpacked(e[0],t)]},Yl=(i,e)=>(Fh(e),Bo(i,[e[0]],Array.from(e[1].integerData))),Ql=i=>i.attributes.getInts("axes"),Bh=i=>{if(!i||i.length!==1)throw new Error("Squeeze requires 1 input.");if(i[0].type==="string")throw new Error("invalid input tensor types.")},Fh=i=>{if(!i||i.length!==2)throw new Error("Squeeze requires 2 inputs.");if(i[1].type!=="int32")throw new Error("Invalid input type.")}});var ef,Nh,Ch,rf=x(()=>{"use strict";X();R();ef=(i,e)=>{Ch(e);let o={name:"Sum",inputNames:e.map((r,n)=>`X${n}`),inputTypes:new Array(e.length).fill(0)};return[i.run({...o,get:()=>Nh(i,e,o)},e)]},Nh=(i,e,o)=>{let t=D(i.session.backend.glContext.version),r=e[0].dims.slice(),s=`
void main() {
vec4 result = ${e.map((a,u)=>`${t.texture2D}(X${u},TexCoords)`).join(" + ")};
${t.output} = result;
}
`;return{...o,output:{dims:r,type:e[0].type,textureType:0},hasMain:!0,shaderSource:s}},Ch=i=>{if(!i||i.length===0)throw new Error("Sum requires inputs.");let e=i[0].dims.length;for(let o=1;o<i.length;o++){if(e!==i[o].dims.length)throw new Error("Input shapes are mismatched.");for(let t=0;t<e;t++)if(i[0].dims[t]!==i[o].dims[t])throw new Error("Input shapes are not matched.")}if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("Invalid input type.");for(let o=1;o<i.length;o++)if(i[0].type!==i[o].type)throw new Error("Input types are not matched.")}});var nf,Rh,Gh,of=x(()=>{"use strict";rr();R();nf=(i,e)=>{Gh(e);let o={name:"Tile",inputNames:["A"],inputTypes:[0]};return[i.run({...o,get:()=>Rh(i,e,o)},e)]},Rh=(i,e,o)=>{let t=e[0].dims.slice(),r=new Array(t.length),n=[];for(let u=0;u<t.length;u++)r[u]=t[u]*e[1].numberData[u],n.push(`inputIdx[${u}] = int(mod(float(outputIdx[${u}]), ${t[u]}.));`);let s=r.length,a=`
float process(int outputIdx[${s}]) {
int inputIdx[${s}];
${n.join(`
`)}
return _A(inputIdx);
}
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vec2 ${o}(int offset, int width, int height) {
int t = offset / width;
int s = offset - t*width;
vec2 coords = (vec2(s,t) + vec2(0.5,0.5)) / vec2(width, height);
return coords;
}
`)}}coordsToOffset(){let o="coordsToOffset";return{coordsToOffset:new O(`
int ${o}(vec2 coords, int width, int height) {
float s = coords.s * float(width);
float t = coords.t * float(height);
int offset = int(t) * width + int(s);
return offset;
}
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void setOutput(vec4 val) {
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}
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}
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int getOutputCoords() {
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int getOutputCoords() {
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int getOutputCoords() {
ivec2 resTexRC = ivec2(TexCoords.xy *
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}
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ivec2 getOutputCoords() {
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ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(TexCoords.xy *
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int index = resTexRC.y * ${n[0]} + resTexRC.x;
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int c = 2 * (index / ${s});
return ivec2(r, c);
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`,new O(r)}getOutputPacked3DCoords(o,t){let r=[t[0],t[1]],n=Math.ceil(o[2]/2),s=n*Math.ceil(o[1]/2),a=`
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(TexCoords.xy *
vec2(${r[0]}, ${r[1]}));
int index = resTexRC.y * ${r[0]} + resTexRC.x;
int b = index / ${s};
index -= b * ${s};
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int r = imod(index, ${n}) * 2;
int c = 2 * (index / ${n});
return ivec3(b, r, c);
}
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int index = resTexRC.y * ${r[0]} + resTexRC.x;
${u}
int b = index / ${s};
index -= b * ${s};
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int r = imod(index, ${n}) * 2;
int c = 2 * (index / ${n});
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}
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int getOutputCoords() {
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}
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ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(TexCoords.xy *
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int index = resTexRC.y * ${t[0]} + resTexRC.x;
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int c = index - r * ${o[1]};
return ivec2(r, c);
}
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(TexCoords.xy *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.y * ${t[0]} + resTexRC.x;
${u}
return ivec3(r, c, d);
}
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ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(TexCoords.xy *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.y * ${t[0]} + resTexRC.x;
${u}
return ivec4(r, c, d, d2);
}
`,new O(r)}getOutputUnpacked5DCoords(o,t){let r="",n=o.length,s=null;n<2&&(s=[]),s=new Array(n-1),s[n-2]=o[n-1];for(let l=n-3;l>=0;--l)s[l]=s[l+1]*o[l+1];let a=["r","c","d","d2","d3"],u=s.map((l,f)=>{let c=`int ${a[f]} = index / ${l}`,d=f===s.length-1?`int ${a[f+1]} = index - ${a[f]} * ${l}`:`index -= ${a[f]} * ${l}`;return`${c}; ${d};`}).join("");return r=`
ivec5 getOutputCoords() {
ivec2 resTexRC = ivec2(TexCoords.xy *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.y * ${t[0]} + resTexRC.x;
${u}
return ivec5(r, c, d, d2, d3);
}
`,new O(r)}getOutputUnpacked6DCoords(o,t){let r="",n=o.length,s=null;n<2&&(s=[]),s=new Array(n-1),s[n-2]=o[n-1];for(let l=n-3;l>=0;--l)s[l]=s[l+1]*o[l+1];let a=["r","c","d","d2","d3","d4"],u=s.map((l,f)=>{let c=`int ${a[f]} = index / ${l}`,d=f===s.length-1?`int ${a[f+1]} = index - ${a[f]} * ${l}`:`index -= ${a[f]} * ${l}`;return`${c}; ${d};`}).join("");return r=`
ivec6 getOutputCoords() {
ivec2 resTexRC = ivec2(TexCoords.xy *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.y * ${t[0]} + resTexRC.x;
${u}
return ivec6(r, c, d, d2, d3, d4);
}
`,new O(r)}getCommonUtilFuncs(){let o={},t="uvFromFlat";o[t]=new O(`
vec2 uvFromFlat(int texNumR, int texNumC, int index) {
int texC = index / texNumR;
int texR = index - texC * texNumR;
// TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to
// v.
return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC);
}
`),t="packedUVfrom1D",o[t]=new O(`
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);
}
`),t="packedUVfrom2D",o[t]=new O(`
vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, 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);
}
`),t="packedUVfrom3D",o[t]=new O(`
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);
}
`),t="sampleTexture";let r=D(this.context.glContext.version);return o[t]=new O(`
float sampleTexture(sampler2D textureSampler, vec2 uv) {
return ${r.texture2D}(textureSampler, uv).r;
}`),o}getInputsSamplingSnippets(){let o={},t=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach((r,n)=>{let s=this.context.inputTextureLayouts[n],a=Cr(r);s.isPacked?o[a]=this.getPackedSamplerFromInput(a,r,s):o[a]=this.getUnpackedSamplerFromInput(a,r,s);let u=es(r);s.unpackedShape.length<=t.unpackedShape.length&&(s.isPacked?o[u]=this.getPackedSamplerAtOutputCoords(u,s,t,r):o[u]=this.getUnpackedSamplerAtOutputCoords(u,s,t,r))}),o}getPackedSamplerAtOutputCoords(o,t,r,n){let s=t.unpackedShape,a=r.unpackedShape,l=Cr(n),f=s.length,c=a.length,d=dt.getBroadcastDims(s,a),m=ht(c),y=c-f,g,T=Gt();f===0?g="":c<2&&d.length>=1?g="coords = 0;":g=d.map(wt=>`coords.${T[wt+y]} = 0;`).join(`
`);let _="";c<2&&f>0?_="coords":_=s.map((wt,mt)=>`coords.${T[mt+y]}`).join(", ");let w="return outputValue;",L=A.size(s)===1,Q=A.size(a)===1;if(f===1&&!L&&!Q)w=`
return vec4(outputValue.xy, outputValue.xy);
`;else if(L&&!Q)c===1?w=`
return vec4(outputValue.x, outputValue.x, 0., 0.);
`:w=`
return vec4(outputValue.x);
`;else if(d.length){let wt=f-2,mt=f-1;d.indexOf(wt)>-1&&d.indexOf(mt)>-1?w="return vec4(outputValue.x);":d.indexOf(wt)>-1?w="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":d.indexOf(mt)>-1&&(w="return vec4(outputValue.xx, outputValue.zz);")}let pt=`
int lastDim = coords.${T[c-1]};
coords.${T[c-1]} = coords.${T[c-2]};
coords.${T[c-2]} = lastDim;
`,Ht=`
vec4 ${o}() {
${m} coords = getOutputCoords();
${pt}
${g}
vec4 outputValue = ${l}(${_});
${w}
}
`;return new O(Ht,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(o,t,r,n){let s=[r.width,r.height],a=[t.width,t.height],u=t.unpackedShape.length,l=r.unpackedShape.length,f=t.unpackedShape,c=r.unpackedShape,d=Cr(n);if(u===l&&pe.arraysEqual(a,s)){let L=`
float ${o}() {
return sampleTexture(${n}, TexCoords);
}
`;return new O(L,["coordinates.sampleTexture"])}let m=ht(l),y=dt.getBroadcastDims(f,c),g=l-u,T,_=Gt();u===0?T="":l<2&&y.length>=1?T="coords = 0;":T=y.map(L=>`coords.${_[L+g]} = 0;`).join(`
`);let w="";l<2&&u>0?w="coords":w=t.unpackedShape.map((L,B)=>`coords.${_[B+g]}`).join(", ");let v=`
float ${o}() {
${m} coords = getOutputCoords();
${T}
return ${d}(${w});
}
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float ${o}() {
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vec2 uv = uvFromFlat(${n}, ${s}, offset_${t});
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`;return new O(a,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler1D(o,t,r){let n=r.width,s=r.height;if(s===1&&n===1){let u=`
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float ${o}(int index) {
vec2 uv = vec2(0.5, (float(index) + 0.5) / ${s}.0);
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float ${o}(int index) {
vec2 uv = uvFromFlat(${n}, ${s}, index);
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int offset_${t} = coordsToOffset(TexCoords, ${f}, ${c});
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int offset_${t} = coordsToOffset(TexCoords, ${f}, ${c});
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highp vec4 rgba;
rgba[0] = 128.0 * Sign + floor(Exponent*exp2(-1.0));
rgba[1] = 128.0 * mod(Exponent,2.0) + mod(floor(Mantissa*128.0),128.0);
rgba[2] = floor(mod(floor(Mantissa*exp2(23.0 -8.0)),exp2(8.0)));
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highp float Mantissa = mod(rgba[1],128.0)*65536.0 + rgba[2]*256.0 +rgba[3] + float(0x800000);
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return m[${o-1}];
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n=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(o),e.deleteFramebuffer(r),n}checkRenderFloat32(){if(this.version===2){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension)return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Download(){if(this.version===2){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension||!this.gl.getExtension("WEBGL_color_buffer_float"))return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Blend(){let e=this.gl,o,t,r,n,s;try{o=e.createTexture(),t=e.createFramebuffer(),e.bindTexture(e.TEXTURE_2D,o);let a=this.version===2?e.RGBA32F:e.RGBA;return 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t.node.inputs)if(!this._values[s]&&this.graph.getInputIndices().indexOf(s)===-1){n=!1;break}n&&this._starter.push(r)})})}reset(){this._values=this.graph.getValues().map(e=>e.tensor)}async execute(e,o){return this.profiler.event("session","ExecutionPlan.execute",async()=>{this.reset();let t=e.createInferenceHandler(),r=this.graph.getInputIndices();if(o.length!==r.length)throw new Error(`number of input tensors don't match the number of inputs to the model: actual: ${o.length} expected: ${r.length}`);o.forEach((f,c)=>{let d=r[c];this._values[d]=f});let n=this._starter.slice(0),s=this.graph.getValues(),a=this.graph.getNodes(),u=0;for(;u<n.length;){let f=n[u++],c=this._ops[f],d=c.node.inputs.map(T=>this._values[T]);if(d.indexOf(void 0)!==-1)throw new Error(`unresolved input detected: op: ${c.node}`);let m=d;z.verbose("ExecPlan",`Running op:${c.node.name} (${m.map((T,_)=>`'${c.node.inputs[_]}': ${T.type}[${T.dims.join(",")}]`).join(", ")})`);let y=await 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instanceof C.onnx.AttributeProto?this._attributes.set(o.name,[i.getValue(o),i.getType(o)]):o instanceof Dt.Attribute&&this._attributes.set(o.name(),[i.getValue(o),i.getType(o)]);if(this._attributes.size<e.length)throw new Error("duplicated attribute names")}}set(e,o,t){this._attributes.set(e,[t,o])}delete(e){this._attributes.delete(e)}getFloat(e,o){return this.get(e,"float",o)}getInt(e,o){return this.get(e,"int",o)}getString(e,o){return this.get(e,"string",o)}getTensor(e,o){return this.get(e,"tensor",o)}getFloats(e,o){return this.get(e,"floats",o)}getInts(e,o){return this.get(e,"ints",o)}getStrings(e,o){return this.get(e,"strings",o)}getTensors(e,o){return this.get(e,"tensors",o)}get(e,o,t){let r=this._attributes.get(e);if(r===void 0){if(t!==void 0)return t;throw new Error(`required attribute not found: ${e}`)}if(r[1]!==o)throw new Error(`type mismatch: expected ${o} but got ${r[1]}`);return r[0]}static getType(e){let o=e instanceof C.onnx.AttributeProto?e.type:e.type();switch(o){case C.onnx.AttributeProto.AttributeType.FLOAT:return"float";case C.onnx.AttributeProto.AttributeType.INT:return"int";case C.onnx.AttributeProto.AttributeType.STRING:return"string";case C.onnx.AttributeProto.AttributeType.TENSOR:return"tensor";case C.onnx.AttributeProto.AttributeType.FLOATS:return"floats";case C.onnx.AttributeProto.AttributeType.INTS:return"ints";case C.onnx.AttributeProto.AttributeType.STRINGS:return"strings";case C.onnx.AttributeProto.AttributeType.TENSORS:return"tensors";default:throw new Error(`attribute type is not supported yet: ${C.onnx.AttributeProto.AttributeType[o]}`)}}static getValue(e){let o=e instanceof C.onnx.AttributeProto?e.type:e.type();if(o===C.onnx.AttributeProto.AttributeType.GRAPH||o===C.onnx.AttributeProto.AttributeType.GRAPHS)throw new Error("graph attribute is not supported yet");let t=this.getValueNoCheck(e);if(o===C.onnx.AttributeProto.AttributeType.INT&&xt.isLong(t))return xt.longToNumber(t);if(o===C.onnx.AttributeProto.AttributeType.INTS){let r=t,n=new Array(r.length);for(let s=0;s<r.length;s++){let a=r[s];n[s]=xt.longToNumber(a)}return n}if(o===C.onnx.AttributeProto.AttributeType.TENSOR)return e instanceof C.onnx.AttributeProto?et.fromProto(t):et.fromOrtTensor(t);if(o===C.onnx.AttributeProto.AttributeType.TENSORS){if(e instanceof C.onnx.AttributeProto)return t.map(n=>et.fromProto(n));if(e instanceof Dt.Attribute)return t.map(n=>et.fromOrtTensor(n))}return o===C.onnx.AttributeProto.AttributeType.STRING&&e instanceof C.onnx.AttributeProto?Ze(t):o===C.onnx.AttributeProto.AttributeType.STRINGS&&e instanceof C.onnx.AttributeProto?t.map(Ze):t}static getValueNoCheck(e){return e instanceof C.onnx.AttributeProto?this.getValueNoCheckFromOnnxFormat(e):this.getValueNoCheckFromOrtFormat(e)}static getValueNoCheckFromOnnxFormat(e){switch(e.type){case C.onnx.AttributeProto.AttributeType.FLOAT:return e.f;case C.onnx.AttributeProto.AttributeType.INT:return e.i;case C.onnx.AttributeProto.AttributeType.STRING:return e.s;case C.onnx.AttributeProto.AttributeType.TENSOR:return e.t;case C.onnx.AttributeProto.AttributeType.GRAPH:return e.g;case C.onnx.AttributeProto.AttributeType.FLOATS:return e.floats;case C.onnx.AttributeProto.AttributeType.INTS:return e.ints;case C.onnx.AttributeProto.AttributeType.STRINGS:return e.strings;case C.onnx.AttributeProto.AttributeType.TENSORS:return e.tensors;case C.onnx.AttributeProto.AttributeType.GRAPHS:return e.graphs;default:throw new Error(`unsupported attribute type: ${C.onnx.AttributeProto.AttributeType[e.type]}`)}}static getValueNoCheckFromOrtFormat(e){switch(e.type()){case Dt.AttributeType.FLOAT:return e.f();case Dt.AttributeType.INT:return e.i();case Dt.AttributeType.STRING:return e.s();case Dt.AttributeType.TENSOR:return e.t();case Dt.AttributeType.GRAPH:return e.g();case Dt.AttributeType.FLOATS:return e.floatsArray();case Dt.AttributeType.INTS:{let o=[];for(let t=0;t<e.intsLength();t++)o.push(e.ints(t));return o}case Dt.AttributeType.STRINGS:{let o=[];for(let t=0;t<e.stringsLength();t++)o.push(e.strings(t));return o}case Dt.AttributeType.TENSORS:{let o=[];for(let t=0;t<e.tensorsLength();t++)o.push(e.tensors(t));return o}default:throw new Error(`unsupported attribute type: ${Dt.AttributeType[e.type()]}`)}}}});var Uo,fn,zo,Wt,cn,Vo,kf=x(()=>{"use strict";$f();qe();Uo=Oe(Le());be();U();fn=P.experimental.fbs,zo={from:(i,e)=>new Vo(i,e)},Wt=class{constructor(e){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,e&&(this.type=ut.tensorValueTypeFromProto(e.type.tensorType))}get from(){return this._from}get to(){return this._to}},cn=class{constructor(e,o){e instanceof Uo.onnx.NodeProto?(this.name=e.name,this.opType=e.opType,this.attributes=new ir(e.attribute)):e instanceof fn.Node&&(this.name=o??e.name(),this.opType=e.opType(),this.attributes=new ir(ut.tensorAttributesFromORTFormat(e))),this.inputs=[],this.outputs=[],this.executeNode=!0}},Vo=class{constructor(e,o){if(!e)throw new TypeError("graph is empty");this.buildGraph(e),this.transformGraph(o),this.checkIsAcyclic()}getInputIndices(){return this._allInputIndices}getInputNames(){return this._allInputNames}getOutputIndices(){return this._allOutputIndices}getOutputNames(){return this._allOutputNames}getValues(){return this._allData}getNodes(){return this._nodes}buildGraph(e){if(e instanceof Uo.onnx.GraphProto)this.buildGraphFromOnnxFormat(e);else if(e instanceof fn.Graph)this.buildGraphFromOrtFormat(e);else throw new TypeError("Graph type is not supported.")}buildGraphFromOnnxFormat(e){let o=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];let t=new Map;if(!e.input)throw new Error("missing information in graph: input");let r=[];for(let n of e.input){if(o.has(n.name))throw new Error(`duplicated input name: ${n.name}`);let s=this._allData.push(new Wt(n))-1;o.set(n.name,s),r.push(n.name)}if(!e.initializer)throw new Error("missing information in graph: initializer");for(let n of e.initializer){let s=o.get(n.name);if(s===void 0){let a=new Wt;a.type={shape:{dims:ut.tensorDimsFromProto(n.dims)},tensorType:ut.tensorDataTypeFromProto(n.dataType)},s=this._allData.push(a)-1,o.set(n.name,s)}this._allData[s]._from=-1,this._allData[s].tensor=et.fromProto(n)}for(let n=0;n<this._allData.length;n++)this._allData[n].tensor||(this._allInputIndices.push(n),this._allInputNames.push(r[n]));if(!e.output)throw new Error("missing information in graph: output");for(let n of e.output){if(o.has(n.name))throw new Error(`duplicated output name: ${n.name}`);let s=this._allData.push(new Wt(n))-1;o.set(n.name,s),this._allOutputIndices.push(s),this._allOutputNames.push(n.name)}if(!e.node)throw new Error("missing information in graph: node");for(let n of e.node){if(!n.name)for(let a=0;;a++){let u=`unnamed_${n.opType}_${a}`;if(!t.has(u)){n.name=u;break}}if(t.has(n.name))throw new Error(`duplicated node name: ${n.name}`);let s=this._nodes.push(new cn(n))-1;t.set(n.name,s)}for(let n=0;n<this._nodes.length;n++){let s=this._nodes[n],a=e.node[n];if(!a.output)throw new Error(`missing output for node: ${a.name}`);for(let u of a.output){let l=o.get(u);if(typeof l>"u"&&(l=this._allData.push(new Wt)-1,o.set(u,l)),s.outputs.push(l),this._allData[l]._from!==void 0)throw new Error(`multiple nodes output to one data value: ${l}`);if(this._allData[l]._from=n,a.opType==="Constant"){if(!a.attribute||a.attribute.length!==1||!a.attribute[0].t)throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(!a.output||a.output.length!==1)throw new Error("missing output or incorrect number of outputs for this Constant operator");s.outputs.pop(),s.executeNode=!1,this._allData[l]._from=-1,this._allData[l].tensor=et.fromProto(a.attribute[0].t)}}}for(let n=0;n<this._nodes.length;n++){let s=this._nodes[n],a=e.node[n];if(!a.input)throw new Error(`missing input for node: ${a.name}`);for(let u of a.input){let l=o.get(u);if(typeof l>"u"){if(u===""&&(a.input.length===3||a.input.length===4)&&a.opType==="Resize")continue;throw new Error(`unrecognized input '${u}' for node: ${a.name}`)}s.inputs.push(l),this._allData[l]._to.push(n)}}return!0}buildGraphFromOrtFormat(e){let o=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];let t=new Map,r=[];for(let n=0;n<e.inputsLength();n++){let s=e.inputs(n);if(o.has(s))throw new Error(`duplicated input name: ${s}`);for(let a=0;a<e.nodeArgsLength();a++)if(e.nodeArgs(a)?.name()===s){let u=new Wt;if(e.nodeArgs(a)?.type()?.valueType()!==fn.TypeInfoValue.tensor_type)throw new Error("Unexpected value type for the nodeArg.");let f=e.nodeArgs(a).type().value(new fn.TensorTypeAndShape),c=ut.tensorDataTypeFromProto(f.elemType()),d=f.shape(),m=[];for(let g=0;g<d.dimLength();g++)m.push(xt.longToNumber(d.dim(g).value().dimValue()));u.type={shape:{dims:m},tensorType:c};let y=this._allData.push(u)-1;o.set(s,y),r.push(s)}}for(let n=0;n<e.initializersLength();n++){let s=e.initializers(n),a=o.get(s.name());if(a===void 0){let u=new Wt,l=ut.tensorDimsFromORTFormat(s),f=ut.tensorDataTypeFromProto(s.dataType());u.type={shape:{dims:l},tensorType:f},a=this._allData.push(u)-1,o.set(s.name(),a)}this._allData[a]._from=-1,this._allData[a].tensor=et.fromOrtTensor(s)}for(let n=0;n<this._allData.length;n++)this._allData[n].tensor||(this._allInputIndices.push(n),this._allInputNames.push(r[n]));for(let n=0;n<e.outputsLength();n++){let s=e.outputs(n);if(o.has(s))throw new Error(`duplicated output name: ${s}`);let a=this._allData.push(new Wt)-1;o.set(s,a),this._allOutputIndices.push(a),this._allOutputNames.push(s)}if(!e.nodes)throw new Error("missing information in graph: node");for(let n=0;n<e.nodesLength();n++){let s=e.nodes(n),a=s.name();if(!a)for(let l=0;a=`unnamed_${s.opType()}_${l}`,!!t.has(a);l++);if(t.has(a))throw new Error(`duplicated node name: ${a}`);let u=this._nodes.push(new cn(s,a))-1;t.set(a,u)}for(let n=0;n<this._nodes.length;n++){let s=this._nodes[n],a=e.nodes(n);if(a==null)throw new Error(`No node exists at index ${n}`);if(a?.outputsLength()===0)throw new Error(`missing output for node: ${a.name}`);for(let u=0;u<a?.outputsLength();u++){let l=a?.outputs(u),f=o.get(l);if(typeof f>"u"&&(f=this._allData.push(new Wt)-1,o.set(l,f)),s.outputs.push(f),this._allData[f]._from!==void 0)throw new Error(`multiple nodes output to one data value: ${f}`);if(this._allData[f]._from=n,a.opType()==="Constant"){if(a.attributesLength()!==1||!a.attributes(0).t())throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(a.outputsLength()!==1)throw new Error("missing output or incorrect number of outputs for this Constant operator");s.outputs.pop(),s.executeNode=!1,this._allData[f]._from=-1,this._allData[f].tensor=et.fromOrtTensor(a.attributes(0).t())}}}for(let n=0;n<this._nodes.length;n++){let s=this._nodes[n],a=e.nodes(n);if(a.inputsLength()===0)throw new Error(`missing input for node: ${a.name}`);for(let u=0;u<a.inputsLength();u++){let l=a.inputs(u),f=o.get(l);if(typeof f>"u")throw new Error(`unrecognized input '${l}' for node: ${a.name()}`);s.inputs.push(f),this._allData[f]._to.push(n)}}}checkIsAcyclic(){let e=new Set;this._allInputIndices.forEach(r=>{this._allData[r]._to.forEach(s=>{e.add(s)})});let o=Array.from(e),t=new Array(this._nodes.length).fill("white");for(;o.length>0;){let r=o.pop();t[r]==="gray"?t[r]="black":(o.push(r),t[r]="gray",this._nodes[r].outputs.forEach(n=>{let s=this._allData[n];if(typeof s.tensor<"u")throw new Error("node outputs should not be initialized");if(s._from!==r)throw new Error("from property of the Value object doesn't match index of Node being processed");s._to.forEach(a=>{if(t[a]==="gray")throw new Error("model graph is 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")}o.executeNode=!1;let t=o.inputs[0],r=o.outputs[0],n=this._allData[r].to;for(let a=0;a<o.inputs.length;a++){let u=this._allData[o.inputs[a]].to.indexOf(e);if(u===-1)throw new Error("The Value object doesn't have the current Node in it's 'to' property ");this._allData[o.inputs[a]].to.splice(u,1)}this._allData[r]._to=[];let s=this._allOutputIndices.indexOf(r);if(s!==-1&&(this._allOutputIndices[s]=t),n&&n.length>0)for(let a of n){let u=this._nodes[a].inputs.indexOf(r);if(u===-1)throw new Error("The Node object doesn't have the output Value in it's 'inputs' property ");this._nodes[a].inputs[u]=t,this._allData[t].to.push(a)}}removeAllDropoutNodes(){let e=0;for(let o of this._nodes){if(o.opType==="Dropout"){if(o.inputs.length!==1)throw new Error("Dropout nodes should only contain one input. 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navigator>"u"?kn("node:os").cpus().length:navigator.hardwareConcurrency;k.wasm.numThreads=Math.min(4,Math.ceil((i||1)/2))}k.wasm.wasmPaths===void 0&&Lt&&Lt.indexOf("blob:")!==0&&(k.wasm.wasmPaths=Lt.substring(0,Lt.lastIndexOf("/")+1))},$n=class{async init(e){hc(),await ic(),await ac(e)}async createInferenceSessionHandler(e,o){let t=new Ln;return await t.loadModel(e,o),Promise.resolve(t)}},bm=new $n});kt();kt();kt();var Bi="1.20.1";var z_=Rn;{let i=(Gf(),Bn(Rf)).onnxjsBackend;Ae("webgl",i,-10)}{let i=(bc(),Bn(mc)).wasmBackend;Ae("cpu",i,10),Ae("wasm",i,10)}Object.defineProperty(k.versions,"web",{value:Bi,enumerable:!0});export{Ac as InferenceSession,_i as TRACE,se as TRACE_FUNC_BEGIN,ue as TRACE_FUNC_END,rt as Tensor,Ec as TrainingSession,z_ as default,k as env,Ae as registerBackend};
/*! Bundled license information:
long/index.js:
(**
* @license
* Copyright 2009 The Closure Library Authors
* Copyright 2020 Daniel Wirtz / The long.js Authors.
*
* 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
*
*
* 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.
*
* SPDX-License-Identifier: Apache-2.0
*)
*/
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