diff --git "a/assets/index-B7AswtMH.js" "b/assets/index-B7AswtMH.js"
new file mode 100644--- /dev/null
+++ "b/assets/index-B7AswtMH.js"
@@ -0,0 +1,1831 @@
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+ * ONNX Runtime Web v1.20.0
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
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e&&!a?-1:!e&&a?1:this.unsigned?t.high>>>0>this.high>>>0||t.high===this.high&&t.low>>>0>this.low>>>0?-1:1:this.sub(t).isNegative()?-1:1},D.comp=D.compare,D.negate=function(){return!this.unsigned&&this.eq(Ct)?Ct:this.not().add(or)},D.neg=D.negate,D.add=function(t){Et(t)||(t=Qt(t));var e=this.high>>>16,a=this.high&65535,o=this.low>>>16,i=this.low&65535,d=t.high>>>16,n=t.high&65535,s=t.low>>>16,g=t.low&65535,r=0,A=0,l=0,p=0;return p+=i+g,l+=p>>>16,p&=65535,l+=o+s,A+=l>>>16,l&=65535,A+=a+n,r+=A>>>16,A&=65535,r+=e+d,r&=65535,J(l<<16|p,r<<16|A,this.unsigned)},D.subtract=function(t){return Et(t)||(t=Qt(t)),this.add(t.neg())},D.sub=D.subtract,D.multiply=function(t){if(this.isZero())return this;if(Et(t)||(t=Qt(t)),Vt){var e=Vt.mul(this.low,this.high,t.low,t.high);return J(e,Vt.get_high(),this.unsigned)}if(t.isZero())return this.unsigned?ye:Zt;if(this.eq(Ct))return t.isOdd()?Ct:Zt;if(t.eq(Ct))return this.isOdd()?Ct:Zt;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(Us)&&t.lt(Us))return zt(this.toNumber()*t.toNumber(),this.unsigned);var a=this.high>>>16,o=this.high&65535,i=this.low>>>16,d=this.low&65535,n=t.high>>>16,s=t.high&65535,g=t.low>>>16,r=t.low&65535,A=0,l=0,p=0,C=0;return C+=d*r,p+=C>>>16,C&=65535,p+=i*r,l+=p>>>16,p&=65535,p+=d*g,l+=p>>>16,p&=65535,l+=o*r,A+=l>>>16,l&=65535,l+=i*g,A+=l>>>16,l&=65535,l+=d*s,A+=l>>>16,l&=65535,A+=a*r+o*g+i*s+d*n,A&=65535,J(p<<16|C,A<<16|l,this.unsigned)},D.mul=D.multiply,D.divide=function(t){if(Et(t)||(t=Qt(t)),t.isZero())throw Error("division by zero");if(Vt){if(!this.unsigned&&this.high===-2147483648&&t.low===-1&&t.high===-1)return this;var e=(this.unsigned?Vt.div_u:Vt.div_s)(this.low,this.high,t.low,t.high);return J(e,Vt.get_high(),this.unsigned)}if(this.isZero())return this.unsigned?ye:Zt;var a,o,i;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return ye;if(t.gt(this.shru(1)))return zs;i=ye}else{if(this.eq(Ct)){if(t.eq(or)||t.eq(Wo))return Ct;if(t.eq(Ct))return or;var d=this.shr(1);return a=d.div(t).shl(1),a.eq(Zt)?t.isNegative()?or:Wo:(o=this.sub(t.mul(a)),i=a.add(o.div(t)),i)}else if(t.eq(Ct))return this.unsigned?ye:Zt;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();i=Zt}for(o=this;o.gte(t);){a=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var n=Math.ceil(Math.log(a)/Math.LN2),s=n<=48?1:Tn(2,n-48),g=zt(a),r=g.mul(t);r.isNegative()||r.gt(o);)a-=s,g=zt(a,this.unsigned),r=g.mul(t);g.isZero()&&(g=or),i=i.add(g),o=o.sub(r)}return i},D.div=D.divide,D.modulo=function(t){if(Et(t)||(t=Qt(t)),Vt){var e=(this.unsigned?Vt.rem_u:Vt.rem_s)(this.low,this.high,t.low,t.high);return J(e,Vt.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))},D.mod=D.modulo,D.rem=D.modulo,D.not=function(){return J(~this.low,~this.high,this.unsigned)},D.countLeadingZeros=function(){return this.high?Math.clz32(this.high):Math.clz32(this.low)+32},D.clz=D.countLeadingZeros,D.countTrailingZeros=function(){return this.low?Cs(this.low):Cs(this.high)+32},D.ctz=D.countTrailingZeros,D.and=function(t){return Et(t)||(t=Qt(t)),J(this.low&t.low,this.high&t.high,this.unsigned)},D.or=function(t){return Et(t)||(t=Qt(t)),J(this.low|t.low,this.high|t.high,this.unsigned)},D.xor=function(t){return Et(t)||(t=Qt(t)),J(this.low^t.low,this.high^t.high,this.unsigned)},D.shiftLeft=function(t){return Et(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?J(this.low<<t,this.high<<t|this.low>>>32-t,this.unsigned):J(0,this.low<<t-32,this.unsigned)},D.shl=D.shiftLeft,D.shiftRight=function(t){return Et(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?J(this.low>>>t|this.high<<32-t,this.high>>t,this.unsigned):J(this.high>>t-32,this.high>=0?0:-1,this.unsigned)},D.shr=D.shiftRight,D.shiftRightUnsigned=function(t){return Et(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?J(this.low>>>t|this.high<<32-t,this.high>>>t,this.unsigned):t===32?J(this.high,0,this.unsigned):J(this.high>>>t-32,0,this.unsigned)},D.shru=D.shiftRightUnsigned,D.shr_u=D.shiftRightUnsigned,D.rotateLeft=function(t){var e;return Et(t)&&(t=t.toInt()),(t&=63)===0?this:t===32?J(this.high,this.low,this.unsigned):t<32?(e=32-t,J(this.low<<t|this.high>>>e,this.high<<t|this.low>>>e,this.unsigned)):(t-=32,e=32-t,J(this.high<<t|this.low>>>e,this.low<<t|this.high>>>e,this.unsigned))},D.rotl=D.rotateLeft,D.rotateRight=function(t){var e;return Et(t)&&(t=t.toInt()),(t&=63)===0?this:t===32?J(this.high,this.low,this.unsigned):t<32?(e=32-t,J(this.high<<e|this.low>>>t,this.low<<e|this.high>>>t,this.unsigned)):(t-=32,e=32-t,J(this.low<<e|this.high>>>t,this.high<<e|this.low>>>t,this.unsigned))},D.rotr=D.rotateRight,D.toSigned=function(){return this.unsigned?J(this.low,this.high,!1):this},D.toUnsigned=function(){return this.unsigned?this:J(this.low,this.high,!0)},D.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()},D.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]},D.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]},rt.fromBytes=function(t,e,a){return a?rt.fromBytesLE(t,e):rt.fromBytesBE(t,e)},rt.fromBytesLE=function(t,e){return new rt(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)},rt.fromBytesBE=function(t,e){return new rt(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)},xe=rt}),w,wn=O(()=>{w={},w.Offset,w.Table,w.SIZEOF_SHORT=2,w.SIZEOF_INT=4,w.FILE_IDENTIFIER_LENGTH=4,w.SIZE_PREFIX_LENGTH=4,w.Encoding={UTF8_BYTES:1,UTF16_STRING:2},w.int32=new Int32Array(2),w.float32=new Float32Array(w.int32.buffer),w.float64=new Float64Array(w.int32.buffer),w.isLittleEndian=new Uint16Array(new Uint8Array([1,0]).buffer)[0]===1,w.Long=function(t,e){this.low=t|0,this.high=e|0},w.Long.create=function(t,e){return t==0&&e==0?w.Long.ZERO:new w.Long(t,e)},w.Long.prototype.toFloat64=function(){return(this.low>>>0)+this.high*4294967296},w.Long.prototype.equals=function(t){return this.low==t.low&&this.high==t.high},w.Long.ZERO=new w.Long(0,0),w.Builder=function(t){if(t)var e=t;else var e=1024;this.bb=w.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},w.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},w.Builder.prototype.forceDefaults=function(t){this.force_defaults=t},w.Builder.prototype.dataBuffer=function(){return this.bb},w.Builder.prototype.asUint8Array=function(){return this.bb.bytes().subarray(this.bb.position(),this.bb.position()+this.offset())},w.Builder.prototype.prep=function(t,e){t>this.minalign&&(this.minalign=t);for(var a=~(this.bb.capacity()-this.space+e)+1&t-1;this.space<a+t+e;){var o=this.bb.capacity();this.bb=w.Builder.growByteBuffer(this.bb),this.space+=this.bb.capacity()-o}this.pad(a)},w.Builder.prototype.pad=function(t){for(var e=0;e<t;e++)this.bb.writeInt8(--this.space,0)},w.Builder.prototype.writeInt8=function(t){this.bb.writeInt8(this.space-=1,t)},w.Builder.prototype.writeInt16=function(t){this.bb.writeInt16(this.space-=2,t)},w.Builder.prototype.writeInt32=function(t){this.bb.writeInt32(this.space-=4,t)},w.Builder.prototype.writeInt64=function(t){this.bb.writeInt64(this.space-=8,t)},w.Builder.prototype.writeFloat32=function(t){this.bb.writeFloat32(this.space-=4,t)},w.Builder.prototype.writeFloat64=function(t){this.bb.writeFloat64(this.space-=8,t)},w.Builder.prototype.addInt8=function(t){this.prep(1,0),this.writeInt8(t)},w.Builder.prototype.addInt16=function(t){this.prep(2,0),this.writeInt16(t)},w.Builder.prototype.addInt32=function(t){this.prep(4,0),this.writeInt32(t)},w.Builder.prototype.addInt64=function(t){this.prep(8,0),this.writeInt64(t)},w.Builder.prototype.addFloat32=function(t){this.prep(4,0),this.writeFloat32(t)},w.Builder.prototype.addFloat64=function(t){this.prep(8,0),this.writeFloat64(t)},w.Builder.prototype.addFieldInt8=function(t,e,a){(this.force_defaults||e!=a)&&(this.addInt8(e),this.slot(t))},w.Builder.prototype.addFieldInt16=function(t,e,a){(this.force_defaults||e!=a)&&(this.addInt16(e),this.slot(t))},w.Builder.prototype.addFieldInt32=function(t,e,a){(this.force_defaults||e!=a)&&(this.addInt32(e),this.slot(t))},w.Builder.prototype.addFieldInt64=function(t,e,a){(this.force_defaults||!e.equals(a))&&(this.addInt64(e),this.slot(t))},w.Builder.prototype.addFieldFloat32=function(t,e,a){(this.force_defaults||e!=a)&&(this.addFloat32(e),this.slot(t))},w.Builder.prototype.addFieldFloat64=function(t,e,a){(this.force_defaults||e!=a)&&(this.addFloat64(e),this.slot(t))},w.Builder.prototype.addFieldOffset=function(t,e,a){(this.force_defaults||e!=a)&&(this.addOffset(e),this.slot(t))},w.Builder.prototype.addFieldStruct=function(t,e,a){e!=a&&(this.nested(e),this.slot(t))},w.Builder.prototype.nested=function(t){if(t!=this.offset())throw new Error("FlatBuffers: struct must be serialized inline.")},w.Builder.prototype.notNested=function(){if(this.isNested)throw new Error("FlatBuffers: object serialization must not be nested.")},w.Builder.prototype.slot=function(t){this.vtable[t]=this.offset()},w.Builder.prototype.offset=function(){return this.bb.capacity()-this.space},w.Builder.growByteBuffer=function(t){var e=t.capacity();if(e&3221225472)throw new Error("FlatBuffers: cannot grow buffer beyond 2 gigabytes.");var a=e<<1,o=w.ByteBuffer.allocate(a);return o.setPosition(a-e),o.bytes().set(t.bytes(),a-e),o},w.Builder.prototype.addOffset=function(t){this.prep(w.SIZEOF_INT,0),this.writeInt32(this.offset()-t+w.SIZEOF_INT)},w.Builder.prototype.startObject=function(t){this.notNested(),this.vtable==null&&(this.vtable=[]),this.vtable_in_use=t;for(var e=0;e<t;e++)this.vtable[e]=0;this.isNested=!0,this.object_start=this.offset()},w.Builder.prototype.endObject=function(){if(this.vtable==null||!this.isNested)throw new Error("FlatBuffers: endObject called without startObject");this.addInt32(0);for(var t=this.offset(),e=this.vtable_in_use-1;e>=0&&this.vtable[e]==0;e--);for(var a=e+1;e>=0;e--)this.addInt16(this.vtable[e]!=0?t-this.vtable[e]:0);var o=2;this.addInt16(t-this.object_start);var i=(a+o)*w.SIZEOF_SHORT;this.addInt16(i);var d=0,n=this.space;t:for(e=0;e<this.vtables.length;e++){var s=this.bb.capacity()-this.vtables[e];if(i==this.bb.readInt16(s)){for(var g=w.SIZEOF_SHORT;g<i;g+=w.SIZEOF_SHORT)if(this.bb.readInt16(n+g)!=this.bb.readInt16(s+g))continue t;d=this.vtables[e];break}}return d?(this.space=this.bb.capacity()-t,this.bb.writeInt32(this.space,d-t)):(this.vtables.push(this.offset()),this.bb.writeInt32(this.bb.capacity()-t,this.offset()-t)),this.isNested=!1,t},w.Builder.prototype.finish=function(t,e,a){var o=a?w.SIZE_PREFIX_LENGTH:0;if(e){var i=e;if(this.prep(this.minalign,w.SIZEOF_INT+w.FILE_IDENTIFIER_LENGTH+o),i.length!=w.FILE_IDENTIFIER_LENGTH)throw new Error("FlatBuffers: file identifier 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d=t.charCodeAt(a++);o=(i<<10)+d+-56613888}o<128?e.push(o):(o<2048?e.push(o>>6&31|192):(o<65536?e.push(o>>12&15|224):e.push(o>>18&7|240,o>>12&63|128),e.push(o>>6&63|128)),e.push(o&63|128))}this.addInt8(0),this.startVector(1,e.length,1),this.bb.setPosition(this.space-=e.length);for(var a=0,n=this.space,s=this.bb.bytes();a<e.length;a++)s[n++]=e[a];return this.endVector()},w.Builder.prototype.createLong=function(t,e){return w.Long.create(t,e)},w.ByteBuffer=function(t){this.bytes_=t,this.position_=0},w.ByteBuffer.allocate=function(t){return new w.ByteBuffer(new Uint8Array(t))},w.ByteBuffer.prototype.clear=function(){this.position_=0},w.ByteBuffer.prototype.bytes=function(){return this.bytes_},w.ByteBuffer.prototype.position=function(){return this.position_},w.ByteBuffer.prototype.setPosition=function(t){this.position_=t},w.ByteBuffer.prototype.capacity=function(){return this.bytes_.length},w.ByteBuffer.prototype.readInt8=function(t){return this.readUint8(t)<<24>>24},w.ByteBuffer.prototype.readUint8=function(t){return this.bytes_[t]},w.ByteBuffer.prototype.readInt16=function(t){return this.readUint16(t)<<16>>16},w.ByteBuffer.prototype.readUint16=function(t){return this.bytes_[t]|this.bytes_[t+1]<<8},w.ByteBuffer.prototype.readInt32=function(t){return this.bytes_[t]|this.bytes_[t+1]<<8|this.bytes_[t+2]<<16|this.bytes_[t+3]<<24},w.ByteBuffer.prototype.readUint32=function(t){return this.readInt32(t)>>>0},w.ByteBuffer.prototype.readInt64=function(t){return new w.Long(this.readInt32(t),this.readInt32(t+4))},w.ByteBuffer.prototype.readUint64=function(t){return new w.Long(this.readUint32(t),this.readUint32(t+4))},w.ByteBuffer.prototype.readFloat32=function(t){return w.int32[0]=this.readInt32(t),w.float32[0]},w.ByteBuffer.prototype.readFloat64=function(t){return w.int32[w.isLittleEndian?0:1]=this.readInt32(t),w.int32[w.isLittleEndian?1:0]=this.readInt32(t+4),w.float64[0]},w.ByteBuffer.prototype.writeInt8=function(t,e){this.bytes_[t]=e},w.ByteBuffer.prototype.writeUint8=function(t,e){this.bytes_[t]=e},w.ByteBuffer.prototype.writeInt16=function(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8},w.ByteBuffer.prototype.writeUint16=function(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8},w.ByteBuffer.prototype.writeInt32=function(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8,this.bytes_[t+2]=e>>16,this.bytes_[t+3]=e>>24},w.ByteBuffer.prototype.writeUint32=function(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8,this.bytes_[t+2]=e>>16,this.bytes_[t+3]=e>>24},w.ByteBuffer.prototype.writeInt64=function(t,e){this.writeInt32(t,e.low),this.writeInt32(t+4,e.high)},w.ByteBuffer.prototype.writeUint64=function(t,e){this.writeUint32(t,e.low),this.writeUint32(t+4,e.high)},w.ByteBuffer.prototype.writeFloat32=function(t,e){w.float32[0]=e,this.writeInt32(t,w.int32[0])},w.ByteBuffer.prototype.writeFloat64=function(t,e){w.float64[0]=e,this.writeInt32(t,w.int32[w.isLittleEndian?0:1]),this.writeInt32(t+4,w.int32[w.isLittleEndian?1:0])},w.ByteBuffer.prototype.getBufferIdentifier=function(){if(this.bytes_.length<this.position_+w.SIZEOF_INT+w.FILE_IDENTIFIER_LENGTH)throw new Error("FlatBuffers: ByteBuffer is too short to contain an identifier.");for(var t="",e=0;e<w.FILE_IDENTIFIER_LENGTH;e++)t+=String.fromCharCode(this.readInt8(this.position_+w.SIZEOF_INT+e));return t},w.ByteBuffer.prototype.__offset=function(t,e){var a=t-this.readInt32(t);return e<this.readInt16(a)?this.readInt16(a+e):0},w.ByteBuffer.prototype.__union=function(t,e){return t.bb_pos=e+this.readInt32(e),t.bb=this,t},w.ByteBuffer.prototype.__string=function(t,e){t+=this.readInt32(t);var a=this.readInt32(t),o="",i=0;if(t+=w.SIZEOF_INT,e===w.Encoding.UTF8_BYTES)return this.bytes_.subarray(t,t+a);for(;i<a;){var d,n=this.readUint8(t+i++);if(n<192)d=n;else{var s=this.readUint8(t+i++);if(n<224)d=(n&31)<<6|s&63;else{var g=this.readUint8(t+i++);if(n<240)d=(n&15)<<12|(s&63)<<6|g&63;else{var r=this.readUint8(t+i++);d=(n&7)<<18|(s&63)<<12|(g&63)<<6|r&63}}}d<65536?o+=String.fromCharCode(d):(d-=65536,o+=String.fromCharCode((d>>10)+55296,(d&1023)+56320))}return o},w.ByteBuffer.prototype.__indirect=function(t){return t+this.readInt32(t)},w.ByteBuffer.prototype.__vector=function(t){return t+this.readInt32(t)+w.SIZEOF_INT},w.ByteBuffer.prototype.__vector_len=function(t){return this.readInt32(t+this.readInt32(t))},w.ByteBuffer.prototype.__has_identifier=function(t){if(t.length!=w.FILE_IDENTIFIER_LENGTH)throw new Error("FlatBuffers: file identifier must be length "+w.FILE_IDENTIFIER_LENGTH);for(var e=0;e<w.FILE_IDENTIFIER_LENGTH;e++)if(t.charCodeAt(e)!=this.readInt8(this.position_+w.SIZEOF_INT+e))return!1;return!0},w.ByteBuffer.prototype.createLong=function(t,e){return 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8:{if(p.ints&&p.ints.length||(p.ints=[]),(C&7)===2)for(var K=r.uint32()+r.pos;r.pos<K;)p.ints.push(r.int64());else p.ints.push(r.int64());break}case 9:{p.strings&&p.strings.length||(p.strings=[]),p.strings.push(r.bytes());break}case 10:{p.tensors&&p.tensors.length||(p.tensors=[]),p.tensors.push(n.onnx.TensorProto.decode(r,r.uint32()));break}case 11:{p.graphs&&p.graphs.length||(p.graphs=[]),p.graphs.push(n.onnx.GraphProto.decode(r,r.uint32()));break}case 23:{p.sparseTensors&&p.sparseTensors.length||(p.sparseTensors=[]),p.sparseTensors.push(n.onnx.SparseTensorProto.decode(r,r.uint32()));break}case 15:{p.typeProtos&&p.typeProtos.length||(p.typeProtos=[]),p.typeProtos.push(n.onnx.TypeProto.decode(r,r.uint32()));break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.name!=null&&r.hasOwnProperty("name")&&!d.isString(r.name))return"name: string expected";if(r.refAttrName!=null&&r.hasOwnProperty("refAttrName")&&!d.isString(r.refAttrName))return"refAttrName: string expected";if(r.docString!=null&&r.hasOwnProperty("docString")&&!d.isString(r.docString))return"docString: string expected";if(r.type!=null&&r.hasOwnProperty("type"))switch(r.type){default:return"type: enum value expected";case 0:case 1:case 2:case 3:case 4:case 5:case 11:case 13:case 6:case 7:case 8:case 9:case 10:case 12:case 14:break}if(r.f!=null&&r.hasOwnProperty("f")&&typeof r.f!="number")return"f: number expected";if(r.i!=null&&r.hasOwnProperty("i")&&!d.isInteger(r.i)&&!(r.i&&d.isInteger(r.i.low)&&d.isInteger(r.i.high)))return"i: integer|Long expected";if(r.s!=null&&r.hasOwnProperty("s")&&!(r.s&&typeof r.s.length=="number"||d.isString(r.s)))return"s: buffer expected";if(r.t!=null&&r.hasOwnProperty("t")){var A=n.onnx.TensorProto.verify(r.t);if(A)return"t."+A}if(r.g!=null&&r.hasOwnProperty("g")){var A=n.onnx.GraphProto.verify(r.g);if(A)return"g."+A}if(r.sparseTensor!=null&&r.hasOwnProperty("sparseTensor")){var A=n.onnx.SparseTensorProto.verify(r.sparseTensor);if(A)return"sparseTensor."+A}if(r.tp!=null&&r.hasOwnProperty("tp")){var A=n.onnx.TypeProto.verify(r.tp);if(A)return"tp."+A}if(r.floats!=null&&r.hasOwnProperty("floats")){if(!Array.isArray(r.floats))return"floats: array expected";for(var l=0;l<r.floats.length;++l)if(typeof r.floats[l]!="number")return"floats: number[] expected"}if(r.ints!=null&&r.hasOwnProperty("ints")){if(!Array.isArray(r.ints))return"ints: array expected";for(var l=0;l<r.ints.length;++l)if(!d.isInteger(r.ints[l])&&!(r.ints[l]&&d.isInteger(r.ints[l].low)&&d.isInteger(r.ints[l].high)))return"ints: integer|Long[] expected"}if(r.strings!=null&&r.hasOwnProperty("strings")){if(!Array.isArray(r.strings))return"strings: array expected";for(var l=0;l<r.strings.length;++l)if(!(r.strings[l]&&typeof r.strings[l].length=="number"||d.isString(r.strings[l])))return"strings: buffer[] expected"}if(r.tensors!=null&&r.hasOwnProperty("tensors")){if(!Array.isArray(r.tensors))return"tensors: array expected";for(var l=0;l<r.tensors.length;++l){var A=n.onnx.TensorProto.verify(r.tensors[l]);if(A)return"tensors."+A}}if(r.graphs!=null&&r.hasOwnProperty("graphs")){if(!Array.isArray(r.graphs))return"graphs: array expected";for(var l=0;l<r.graphs.length;++l){var A=n.onnx.GraphProto.verify(r.graphs[l]);if(A)return"graphs."+A}}if(r.sparseTensors!=null&&r.hasOwnProperty("sparseTensors")){if(!Array.isArray(r.sparseTensors))return"sparseTensors: array expected";for(var l=0;l<r.sparseTensors.length;++l){var A=n.onnx.SparseTensorProto.verify(r.sparseTensors[l]);if(A)return"sparseTensors."+A}}if(r.typeProtos!=null&&r.hasOwnProperty("typeProtos")){if(!Array.isArray(r.typeProtos))return"typeProtos: array expected";for(var l=0;l<r.typeProtos.length;++l){var A=n.onnx.TypeProto.verify(r.typeProtos[l]);if(A)return"typeProtos."+A}}return null},g.fromObject=function(r){if(r instanceof n.onnx.AttributeProto)return r;var A=new n.onnx.AttributeProto;switch(r.name!=null&&(A.name=String(r.name)),r.refAttrName!=null&&(A.refAttrName=String(r.refAttrName)),r.docString!=null&&(A.docString=String(r.docString)),r.type){default:if(typeof r.type=="number"){A.type=r.type;break}break;case"UNDEFINED":case 0:A.type=0;break;case"FLOAT":case 1:A.type=1;break;case"INT":case 2:A.type=2;break;case"STRING":case 3:A.type=3;break;case"TENSOR":case 4:A.type=4;break;case"GRAPH":case 5:A.type=5;break;case"SPARSE_TENSOR":case 11:A.type=11;break;case"TYPE_PROTO":case 13:A.type=13;break;case"FLOATS":case 6:A.type=6;break;case"INTS":case 7:A.type=7;break;case"STRINGS":case 8:A.type=8;break;case"TENSORS":case 9:A.type=9;break;case"GRAPHS":case 10:A.type=10;break;case"SPARSE_TENSORS":case 12:A.type=12;break;case"TYPE_PROTOS":case 14:A.type=14;break}if(r.f!=null&&(A.f=Number(r.f)),r.i!=null&&(d.Long?(A.i=d.Long.fromValue(r.i)).unsigned=!1:typeof r.i=="string"?A.i=parseInt(r.i,10):typeof r.i=="number"?A.i=r.i:typeof r.i=="object"&&(A.i=new d.LongBits(r.i.low>>>0,r.i.high>>>0).toNumber())),r.s!=null&&(typeof r.s=="string"?d.base64.decode(r.s,A.s=d.newBuffer(d.base64.length(r.s)),0):r.s.length>=0&&(A.s=r.s)),r.t!=null){if(typeof r.t!="object")throw TypeError(".onnx.AttributeProto.t: object expected");A.t=n.onnx.TensorProto.fromObject(r.t)}if(r.g!=null){if(typeof r.g!="object")throw TypeError(".onnx.AttributeProto.g: object expected");A.g=n.onnx.GraphProto.fromObject(r.g)}if(r.sparseTensor!=null){if(typeof r.sparseTensor!="object")throw TypeError(".onnx.AttributeProto.sparseTensor: object expected");A.sparseTensor=n.onnx.SparseTensorProto.fromObject(r.sparseTensor)}if(r.tp!=null){if(typeof r.tp!="object")throw TypeError(".onnx.AttributeProto.tp: object expected");A.tp=n.onnx.TypeProto.fromObject(r.tp)}if(r.floats){if(!Array.isArray(r.floats))throw TypeError(".onnx.AttributeProto.floats: array expected");A.floats=[];for(var l=0;l<r.floats.length;++l)A.floats[l]=Number(r.floats[l])}if(r.ints){if(!Array.isArray(r.ints))throw TypeError(".onnx.AttributeProto.ints: array expected");A.ints=[];for(var l=0;l<r.ints.length;++l)d.Long?(A.ints[l]=d.Long.fromValue(r.ints[l])).unsigned=!1:typeof r.ints[l]=="string"?A.ints[l]=parseInt(r.ints[l],10):typeof r.ints[l]=="number"?A.ints[l]=r.ints[l]:typeof r.ints[l]=="object"&&(A.ints[l]=new d.LongBits(r.ints[l].low>>>0,r.ints[l].high>>>0).toNumber())}if(r.strings){if(!Array.isArray(r.strings))throw TypeError(".onnx.AttributeProto.strings: array expected");A.strings=[];for(var l=0;l<r.strings.length;++l)typeof r.strings[l]=="string"?d.base64.decode(r.strings[l],A.strings[l]=d.newBuffer(d.base64.length(r.strings[l])),0):r.strings[l].length>=0&&(A.strings[l]=r.strings[l])}if(r.tensors){if(!Array.isArray(r.tensors))throw TypeError(".onnx.AttributeProto.tensors: array expected");A.tensors=[];for(var l=0;l<r.tensors.length;++l){if(typeof r.tensors[l]!="object")throw TypeError(".onnx.AttributeProto.tensors: object expected");A.tensors[l]=n.onnx.TensorProto.fromObject(r.tensors[l])}}if(r.graphs){if(!Array.isArray(r.graphs))throw TypeError(".onnx.AttributeProto.graphs: array expected");A.graphs=[];for(var l=0;l<r.graphs.length;++l){if(typeof r.graphs[l]!="object")throw TypeError(".onnx.AttributeProto.graphs: object expected");A.graphs[l]=n.onnx.GraphProto.fromObject(r.graphs[l])}}if(r.sparseTensors){if(!Array.isArray(r.sparseTensors))throw TypeError(".onnx.AttributeProto.sparseTensors: array expected");A.sparseTensors=[];for(var l=0;l<r.sparseTensors.length;++l){if(typeof r.sparseTensors[l]!="object")throw TypeError(".onnx.AttributeProto.sparseTensors: object expected");A.sparseTensors[l]=n.onnx.SparseTensorProto.fromObject(r.sparseTensors[l])}}if(r.typeProtos){if(!Array.isArray(r.typeProtos))throw TypeError(".onnx.AttributeProto.typeProtos: array expected");A.typeProtos=[];for(var l=0;l<r.typeProtos.length;++l){if(typeof r.typeProtos[l]!="object")throw TypeError(".onnx.AttributeProto.typeProtos: object expected");A.typeProtos[l]=n.onnx.TypeProto.fromObject(r.typeProtos[l])}}return A},g.toObject=function(r,A){A||(A={});var l={};if((A.arrays||A.defaults)&&(l.floats=[],l.ints=[],l.strings=[],l.tensors=[],l.graphs=[],l.typeProtos=[],l.sparseTensors=[]),A.defaults){if(l.name="",l.f=0,d.Long){var p=new d.Long(0,0,!1);l.i=A.longs===String?p.toString():A.longs===Number?p.toNumber():p}else l.i=A.longs===String?"0":0;A.bytes===String?l.s="":(l.s=[],A.bytes!==Array&&(l.s=d.newBuffer(l.s))),l.t=null,l.g=null,l.docString="",l.tp=null,l.type=A.enums===String?"UNDEFINED":0,l.refAttrName="",l.sparseTensor=null}if(r.name!=null&&r.hasOwnProperty("name")&&(l.name=r.name),r.f!=null&&r.hasOwnProperty("f")&&(l.f=A.json&&!isFinite(r.f)?String(r.f):r.f),r.i!=null&&r.hasOwnProperty("i")&&(typeof r.i=="number"?l.i=A.longs===String?String(r.i):r.i:l.i=A.longs===String?d.Long.prototype.toString.call(r.i):A.longs===Number?new d.LongBits(r.i.low>>>0,r.i.high>>>0).toNumber():r.i),r.s!=null&&r.hasOwnProperty("s")&&(l.s=A.bytes===String?d.base64.encode(r.s,0,r.s.length):A.bytes===Array?Array.prototype.slice.call(r.s):r.s),r.t!=null&&r.hasOwnProperty("t")&&(l.t=n.onnx.TensorProto.toObject(r.t,A)),r.g!=null&&r.hasOwnProperty("g")&&(l.g=n.onnx.GraphProto.toObject(r.g,A)),r.floats&&r.floats.length){l.floats=[];for(var C=0;C<r.floats.length;++C)l.floats[C]=A.json&&!isFinite(r.floats[C])?String(r.floats[C]):r.floats[C]}if(r.ints&&r.ints.length){l.ints=[];for(var C=0;C<r.ints.length;++C)typeof r.ints[C]=="number"?l.ints[C]=A.longs===String?String(r.ints[C]):r.ints[C]:l.ints[C]=A.longs===String?d.Long.prototype.toString.call(r.ints[C]):A.longs===Number?new d.LongBits(r.ints[C].low>>>0,r.ints[C].high>>>0).toNumber():r.ints[C]}if(r.strings&&r.strings.length){l.strings=[];for(var C=0;C<r.strings.length;++C)l.strings[C]=A.bytes===String?d.base64.encode(r.strings[C],0,r.strings[C].length):A.bytes===Array?Array.prototype.slice.call(r.strings[C]):r.strings[C]}if(r.tensors&&r.tensors.length){l.tensors=[];for(var C=0;C<r.tensors.length;++C)l.tensors[C]=n.onnx.TensorProto.toObject(r.tensors[C],A)}if(r.graphs&&r.graphs.length){l.graphs=[];for(var C=0;C<r.graphs.length;++C)l.graphs[C]=n.onnx.GraphProto.toObject(r.graphs[C],A)}if(r.docString!=null&&r.hasOwnProperty("docString")&&(l.docString=r.docString),r.tp!=null&&r.hasOwnProperty("tp")&&(l.tp=n.onnx.TypeProto.toObject(r.tp,A)),r.typeProtos&&r.typeProtos.length){l.typeProtos=[];for(var C=0;C<r.typeProtos.length;++C)l.typeProtos[C]=n.onnx.TypeProto.toObject(r.typeProtos[C],A)}if(r.type!=null&&r.hasOwnProperty("type")&&(l.type=A.enums===String?n.onnx.AttributeProto.AttributeType[r.type]===void 0?r.type:n.onnx.AttributeProto.AttributeType[r.type]:r.type),r.refAttrName!=null&&r.hasOwnProperty("refAttrName")&&(l.refAttrName=r.refAttrName),r.sparseTensor!=null&&r.hasOwnProperty("sparseTensor")&&(l.sparseTensor=n.onnx.SparseTensorProto.toObject(r.sparseTensor,A)),r.sparseTensors&&r.sparseTensors.length){l.sparseTensors=[];for(var C=0;C<r.sparseTensors.length;++C)l.sparseTensors[C]=n.onnx.SparseTensorProto.toObject(r.sparseTensors[C],A)}return l},g.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},g.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.AttributeProto"},g.AttributeType=function(){var r={},A=Object.create(r);return A[r[0]="UNDEFINED"]=0,A[r[1]="FLOAT"]=1,A[r[2]="INT"]=2,A[r[3]="STRING"]=3,A[r[4]="TENSOR"]=4,A[r[5]="GRAPH"]=5,A[r[11]="SPARSE_TENSOR"]=11,A[r[13]="TYPE_PROTO"]=13,A[r[6]="FLOATS"]=6,A[r[7]="INTS"]=7,A[r[8]="STRINGS"]=8,A[r[9]="TENSORS"]=9,A[r[10]="GRAPHS"]=10,A[r[12]="SPARSE_TENSORS"]=12,A[r[14]="TYPE_PROTOS"]=14,A}(),g}(),s.ValueInfoProto=function(){function g(r){if(r)for(var A=Object.keys(r),l=0;l<A.length;++l)r[A[l]]!=null&&(this[A[l]]=r[A[l]])}return g.prototype.name="",g.prototype.type=null,g.prototype.docString="",g.create=function(r){return new g(r)},g.encode=function(r,A){return A||(A=i.create()),r.name!=null&&Object.hasOwnProperty.call(r,"name")&&A.uint32(10).string(r.name),r.type!=null&&Object.hasOwnProperty.call(r,"type")&&n.onnx.TypeProto.encode(r.type,A.uint32(18).fork()).ldelim(),r.docString!=null&&Object.hasOwnProperty.call(r,"docString")&&A.uint32(26).string(r.docString),A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof o||(r=o.create(r));for(var l=A===void 0?r.len:r.pos+A,p=new n.onnx.ValueInfoProto;r.pos<l;){var C=r.uint32();switch(C>>>3){case 1:{p.name=r.string();break}case 2:{p.type=n.onnx.TypeProto.decode(r,r.uint32());break}case 3:{p.docString=r.string();break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.name!=null&&r.hasOwnProperty("name")&&!d.isString(r.name))return"name: string expected";if(r.type!=null&&r.hasOwnProperty("type")){var A=n.onnx.TypeProto.verify(r.type);if(A)return"type."+A}return r.docString!=null&&r.hasOwnProperty("docString")&&!d.isString(r.docString)?"docString: string expected":null},g.fromObject=function(r){if(r instanceof n.onnx.ValueInfoProto)return r;var A=new n.onnx.ValueInfoProto;if(r.name!=null&&(A.name=String(r.name)),r.type!=null){if(typeof r.type!="object")throw TypeError(".onnx.ValueInfoProto.type: object expected");A.type=n.onnx.TypeProto.fromObject(r.type)}return r.docString!=null&&(A.docString=String(r.docString)),A},g.toObject=function(r,A){A||(A={});var l={};return A.defaults&&(l.name="",l.type=null,l.docString=""),r.name!=null&&r.hasOwnProperty("name")&&(l.name=r.name),r.type!=null&&r.hasOwnProperty("type")&&(l.type=n.onnx.TypeProto.toObject(r.type,A)),r.docString!=null&&r.hasOwnProperty("docString")&&(l.docString=r.docString),l},g.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},g.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.ValueInfoProto"},g}(),s.NodeProto=function(){function g(r){if(this.input=[],this.output=[],this.attribute=[],r)for(var A=Object.keys(r),l=0;l<A.length;++l)r[A[l]]!=null&&(this[A[l]]=r[A[l]])}return g.prototype.input=d.emptyArray,g.prototype.output=d.emptyArray,g.prototype.name="",g.prototype.opType="",g.prototype.domain="",g.prototype.attribute=d.emptyArray,g.prototype.docString="",g.create=function(r){return new g(r)},g.encode=function(r,A){if(A||(A=i.create()),r.input!=null&&r.input.length)for(var l=0;l<r.input.length;++l)A.uint32(10).string(r.input[l]);if(r.output!=null&&r.output.length)for(var l=0;l<r.output.length;++l)A.uint32(18).string(r.output[l]);if(r.name!=null&&Object.hasOwnProperty.call(r,"name")&&A.uint32(26).string(r.name),r.opType!=null&&Object.hasOwnProperty.call(r,"opType")&&A.uint32(34).string(r.opType),r.attribute!=null&&r.attribute.length)for(var l=0;l<r.attribute.length;++l)n.onnx.AttributeProto.encode(r.attribute[l],A.uint32(42).fork()).ldelim();return r.docString!=null&&Object.hasOwnProperty.call(r,"docString")&&A.uint32(50).string(r.docString),r.domain!=null&&Object.hasOwnProperty.call(r,"domain")&&A.uint32(58).string(r.domain),A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof o||(r=o.create(r));for(var l=A===void 0?r.len:r.pos+A,p=new n.onnx.NodeProto;r.pos<l;){var C=r.uint32();switch(C>>>3){case 1:{p.input&&p.input.length||(p.input=[]),p.input.push(r.string());break}case 2:{p.output&&p.output.length||(p.output=[]),p.output.push(r.string());break}case 3:{p.name=r.string();break}case 4:{p.opType=r.string();break}case 7:{p.domain=r.string();break}case 5:{p.attribute&&p.attribute.length||(p.attribute=[]),p.attribute.push(n.onnx.AttributeProto.decode(r,r.uint32()));break}case 6:{p.docString=r.string();break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.input!=null&&r.hasOwnProperty("input")){if(!Array.isArray(r.input))return"input: array expected";for(var A=0;A<r.input.length;++A)if(!d.isString(r.input[A]))return"input: string[] expected"}if(r.output!=null&&r.hasOwnProperty("output")){if(!Array.isArray(r.output))return"output: array expected";for(var A=0;A<r.output.length;++A)if(!d.isString(r.output[A]))return"output: string[] expected"}if(r.name!=null&&r.hasOwnProperty("name")&&!d.isString(r.name))return"name: string expected";if(r.opType!=null&&r.hasOwnProperty("opType")&&!d.isString(r.opType))return"opType: string expected";if(r.domain!=null&&r.hasOwnProperty("domain")&&!d.isString(r.domain))return"domain: string expected";if(r.attribute!=null&&r.hasOwnProperty("attribute")){if(!Array.isArray(r.attribute))return"attribute: array expected";for(var A=0;A<r.attribute.length;++A){var l=n.onnx.AttributeProto.verify(r.attribute[A]);if(l)return"attribute."+l}}return r.docString!=null&&r.hasOwnProperty("docString")&&!d.isString(r.docString)?"docString: string expected":null},g.fromObject=function(r){if(r instanceof n.onnx.NodeProto)return r;var A=new n.onnx.NodeProto;if(r.input){if(!Array.isArray(r.input))throw TypeError(".onnx.NodeProto.input: array expected");A.input=[];for(var l=0;l<r.input.length;++l)A.input[l]=String(r.input[l])}if(r.output){if(!Array.isArray(r.output))throw TypeError(".onnx.NodeProto.output: array expected");A.output=[];for(var l=0;l<r.output.length;++l)A.output[l]=String(r.output[l])}if(r.name!=null&&(A.name=String(r.name)),r.opType!=null&&(A.opType=String(r.opType)),r.domain!=null&&(A.domain=String(r.domain)),r.attribute){if(!Array.isArray(r.attribute))throw TypeError(".onnx.NodeProto.attribute: array expected");A.attribute=[];for(var l=0;l<r.attribute.length;++l){if(typeof r.attribute[l]!="object")throw TypeError(".onnx.NodeProto.attribute: object expected");A.attribute[l]=n.onnx.AttributeProto.fromObject(r.attribute[l])}}return r.docString!=null&&(A.docString=String(r.docString)),A},g.toObject=function(r,A){A||(A={});var l={};if((A.arrays||A.defaults)&&(l.input=[],l.output=[],l.attribute=[]),A.defaults&&(l.name="",l.opType="",l.docString="",l.domain=""),r.input&&r.input.length){l.input=[];for(var p=0;p<r.input.length;++p)l.input[p]=r.input[p]}if(r.output&&r.output.length){l.output=[];for(var p=0;p<r.output.length;++p)l.output[p]=r.output[p]}if(r.name!=null&&r.hasOwnProperty("name")&&(l.name=r.name),r.opType!=null&&r.hasOwnProperty("opType")&&(l.opType=r.opType),r.attribute&&r.attribute.length){l.attribute=[];for(var p=0;p<r.attribute.length;++p)l.attribute[p]=n.onnx.AttributeProto.toObject(r.attribute[p],A)}return r.docString!=null&&r.hasOwnProperty("docString")&&(l.docString=r.docString),r.domain!=null&&r.hasOwnProperty("domain")&&(l.domain=r.domain),l},g.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},g.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.NodeProto"},g}(),s.TrainingInfoProto=function(){function g(r){if(this.initializationBinding=[],this.updateBinding=[],r)for(var A=Object.keys(r),l=0;l<A.length;++l)r[A[l]]!=null&&(this[A[l]]=r[A[l]])}return g.prototype.initialization=null,g.prototype.algorithm=null,g.prototype.initializationBinding=d.emptyArray,g.prototype.updateBinding=d.emptyArray,g.create=function(r){return new g(r)},g.encode=function(r,A){if(A||(A=i.create()),r.initialization!=null&&Object.hasOwnProperty.call(r,"initialization")&&n.onnx.GraphProto.encode(r.initialization,A.uint32(10).fork()).ldelim(),r.algorithm!=null&&Object.hasOwnProperty.call(r,"algorithm")&&n.onnx.GraphProto.encode(r.algorithm,A.uint32(18).fork()).ldelim(),r.initializationBinding!=null&&r.initializationBinding.length)for(var l=0;l<r.initializationBinding.length;++l)n.onnx.StringStringEntryProto.encode(r.initializationBinding[l],A.uint32(26).fork()).ldelim();if(r.updateBinding!=null&&r.updateBinding.length)for(var l=0;l<r.updateBinding.length;++l)n.onnx.StringStringEntryProto.encode(r.updateBinding[l],A.uint32(34).fork()).ldelim();return A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof o||(r=o.create(r));for(var l=A===void 0?r.len:r.pos+A,p=new n.onnx.TrainingInfoProto;r.pos<l;){var C=r.uint32();switch(C>>>3){case 1:{p.initialization=n.onnx.GraphProto.decode(r,r.uint32());break}case 2:{p.algorithm=n.onnx.GraphProto.decode(r,r.uint32());break}case 3:{p.initializationBinding&&p.initializationBinding.length||(p.initializationBinding=[]),p.initializationBinding.push(n.onnx.StringStringEntryProto.decode(r,r.uint32()));break}case 4:{p.updateBinding&&p.updateBinding.length||(p.updateBinding=[]),p.updateBinding.push(n.onnx.StringStringEntryProto.decode(r,r.uint32()));break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.initialization!=null&&r.hasOwnProperty("initialization")){var A=n.onnx.GraphProto.verify(r.initialization);if(A)return"initialization."+A}if(r.algorithm!=null&&r.hasOwnProperty("algorithm")){var A=n.onnx.GraphProto.verify(r.algorithm);if(A)return"algorithm."+A}if(r.initializationBinding!=null&&r.hasOwnProperty("initializationBinding")){if(!Array.isArray(r.initializationBinding))return"initializationBinding: array expected";for(var l=0;l<r.initializationBinding.length;++l){var A=n.onnx.StringStringEntryProto.verify(r.initializationBinding[l]);if(A)return"initializationBinding."+A}}if(r.updateBinding!=null&&r.hasOwnProperty("updateBinding")){if(!Array.isArray(r.updateBinding))return"updateBinding: array expected";for(var l=0;l<r.updateBinding.length;++l){var A=n.onnx.StringStringEntryProto.verify(r.updateBinding[l]);if(A)return"updateBinding."+A}}return null},g.fromObject=function(r){if(r instanceof n.onnx.TrainingInfoProto)return r;var A=new n.onnx.TrainingInfoProto;if(r.initialization!=null){if(typeof r.initialization!="object")throw TypeError(".onnx.TrainingInfoProto.initialization: object expected");A.initialization=n.onnx.GraphProto.fromObject(r.initialization)}if(r.algorithm!=null){if(typeof r.algorithm!="object")throw TypeError(".onnx.TrainingInfoProto.algorithm: object expected");A.algorithm=n.onnx.GraphProto.fromObject(r.algorithm)}if(r.initializationBinding){if(!Array.isArray(r.initializationBinding))throw TypeError(".onnx.TrainingInfoProto.initializationBinding: array expected");A.initializationBinding=[];for(var l=0;l<r.initializationBinding.length;++l){if(typeof r.initializationBinding[l]!="object")throw TypeError(".onnx.TrainingInfoProto.initializationBinding: object expected");A.initializationBinding[l]=n.onnx.StringStringEntryProto.fromObject(r.initializationBinding[l])}}if(r.updateBinding){if(!Array.isArray(r.updateBinding))throw TypeError(".onnx.TrainingInfoProto.updateBinding: array expected");A.updateBinding=[];for(var l=0;l<r.updateBinding.length;++l){if(typeof r.updateBinding[l]!="object")throw TypeError(".onnx.TrainingInfoProto.updateBinding: object expected");A.updateBinding[l]=n.onnx.StringStringEntryProto.fromObject(r.updateBinding[l])}}return A},g.toObject=function(r,A){A||(A={});var l={};if((A.arrays||A.defaults)&&(l.initializationBinding=[],l.updateBinding=[]),A.defaults&&(l.initialization=null,l.algorithm=null),r.initialization!=null&&r.hasOwnProperty("initialization")&&(l.initialization=n.onnx.GraphProto.toObject(r.initialization,A)),r.algorithm!=null&&r.hasOwnProperty("algorithm")&&(l.algorithm=n.onnx.GraphProto.toObject(r.algorithm,A)),r.initializationBinding&&r.initializationBinding.length){l.initializationBinding=[];for(var p=0;p<r.initializationBinding.length;++p)l.initializationBinding[p]=n.onnx.StringStringEntryProto.toObject(r.initializationBinding[p],A)}if(r.updateBinding&&r.updateBinding.length){l.updateBinding=[];for(var p=0;p<r.updateBinding.length;++p)l.updateBinding[p]=n.onnx.StringStringEntryProto.toObject(r.updateBinding[p],A)}return l},g.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},g.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.TrainingInfoProto"},g}(),s.ModelProto=function(){function g(r){if(this.opsetImport=[],this.metadataProps=[],this.trainingInfo=[],this.functions=[],r)for(var A=Object.keys(r),l=0;l<A.length;++l)r[A[l]]!=null&&(this[A[l]]=r[A[l]])}return g.prototype.irVersion=d.Long?d.Long.fromBits(0,0,!1):0,g.prototype.opsetImport=d.emptyArray,g.prototype.producerName="",g.prototype.producerVersion="",g.prototype.domain="",g.prototype.modelVersion=d.Long?d.Long.fromBits(0,0,!1):0,g.prototype.docString="",g.prototype.graph=null,g.prototype.metadataProps=d.emptyArray,g.prototype.trainingInfo=d.emptyArray,g.prototype.functions=d.emptyArray,g.create=function(r){return new g(r)},g.encode=function(r,A){if(A||(A=i.create()),r.irVersion!=null&&Object.hasOwnProperty.call(r,"irVersion")&&A.uint32(8).int64(r.irVersion),r.producerName!=null&&Object.hasOwnProperty.call(r,"producerName")&&A.uint32(18).string(r.producerName),r.producerVersion!=null&&Object.hasOwnProperty.call(r,"producerVersion")&&A.uint32(26).string(r.producerVersion),r.domain!=null&&Object.hasOwnProperty.call(r,"domain")&&A.uint32(34).string(r.domain),r.modelVersion!=null&&Object.hasOwnProperty.call(r,"modelVersion")&&A.uint32(40).int64(r.modelVersion),r.docString!=null&&Object.hasOwnProperty.call(r,"docString")&&A.uint32(50).string(r.docString),r.graph!=null&&Object.hasOwnProperty.call(r,"graph")&&n.onnx.GraphProto.encode(r.graph,A.uint32(58).fork()).ldelim(),r.opsetImport!=null&&r.opsetImport.length)for(var l=0;l<r.opsetImport.length;++l)n.onnx.OperatorSetIdProto.encode(r.opsetImport[l],A.uint32(66).fork()).ldelim();if(r.metadataProps!=null&&r.metadataProps.length)for(var l=0;l<r.metadataProps.length;++l)n.onnx.StringStringEntryProto.encode(r.metadataProps[l],A.uint32(114).fork()).ldelim();if(r.trainingInfo!=null&&r.trainingInfo.length)for(var l=0;l<r.trainingInfo.length;++l)n.onnx.TrainingInfoProto.encode(r.trainingInfo[l],A.uint32(162).fork()).ldelim();if(r.functions!=null&&r.functions.length)for(var l=0;l<r.functions.length;++l)n.onnx.FunctionProto.encode(r.functions[l],A.uint32(202).fork()).ldelim();return A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof o||(r=o.create(r));for(var l=A===void 0?r.len:r.pos+A,p=new n.onnx.ModelProto;r.pos<l;){var C=r.uint32();switch(C>>>3){case 1:{p.irVersion=r.int64();break}case 8:{p.opsetImport&&p.opsetImport.length||(p.opsetImport=[]),p.opsetImport.push(n.onnx.OperatorSetIdProto.decode(r,r.uint32()));break}case 2:{p.producerName=r.string();break}case 3:{p.producerVersion=r.string();break}case 4:{p.domain=r.string();break}case 5:{p.modelVersion=r.int64();break}case 6:{p.docString=r.string();break}case 7:{p.graph=n.onnx.GraphProto.decode(r,r.uint32());break}case 14:{p.metadataProps&&p.metadataProps.length||(p.metadataProps=[]),p.metadataProps.push(n.onnx.StringStringEntryProto.decode(r,r.uint32()));break}case 20:{p.trainingInfo&&p.trainingInfo.length||(p.trainingInfo=[]),p.trainingInfo.push(n.onnx.TrainingInfoProto.decode(r,r.uint32()));break}case 25:{p.functions&&p.functions.length||(p.functions=[]),p.functions.push(n.onnx.FunctionProto.decode(r,r.uint32()));break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.irVersion!=null&&r.hasOwnProperty("irVersion")&&!d.isInteger(r.irVersion)&&!(r.irVersion&&d.isInteger(r.irVersion.low)&&d.isInteger(r.irVersion.high)))return"irVersion: integer|Long expected";if(r.opsetImport!=null&&r.hasOwnProperty("opsetImport")){if(!Array.isArray(r.opsetImport))return"opsetImport: array expected";for(var A=0;A<r.opsetImport.length;++A){var l=n.onnx.OperatorSetIdProto.verify(r.opsetImport[A]);if(l)return"opsetImport."+l}}if(r.producerName!=null&&r.hasOwnProperty("producerName")&&!d.isString(r.producerName))return"producerName: string expected";if(r.producerVersion!=null&&r.hasOwnProperty("producerVersion")&&!d.isString(r.producerVersion))return"producerVersion: string expected";if(r.domain!=null&&r.hasOwnProperty("domain")&&!d.isString(r.domain))return"domain: string expected";if(r.modelVersion!=null&&r.hasOwnProperty("modelVersion")&&!d.isInteger(r.modelVersion)&&!(r.modelVersion&&d.isInteger(r.modelVersion.low)&&d.isInteger(r.modelVersion.high)))return"modelVersion: integer|Long expected";if(r.docString!=null&&r.hasOwnProperty("docString")&&!d.isString(r.docString))return"docString: string expected";if(r.graph!=null&&r.hasOwnProperty("graph")){var l=n.onnx.GraphProto.verify(r.graph);if(l)return"graph."+l}if(r.metadataProps!=null&&r.hasOwnProperty("metadataProps")){if(!Array.isArray(r.metadataProps))return"metadataProps: array expected";for(var A=0;A<r.metadataProps.length;++A){var l=n.onnx.StringStringEntryProto.verify(r.metadataProps[A]);if(l)return"metadataProps."+l}}if(r.trainingInfo!=null&&r.hasOwnProperty("trainingInfo")){if(!Array.isArray(r.trainingInfo))return"trainingInfo: array expected";for(var A=0;A<r.trainingInfo.length;++A){var l=n.onnx.TrainingInfoProto.verify(r.trainingInfo[A]);if(l)return"trainingInfo."+l}}if(r.functions!=null&&r.hasOwnProperty("functions")){if(!Array.isArray(r.functions))return"functions: array expected";for(var A=0;A<r.functions.length;++A){var l=n.onnx.FunctionProto.verify(r.functions[A]);if(l)return"functions."+l}}return null},g.fromObject=function(r){if(r instanceof n.onnx.ModelProto)return r;var A=new n.onnx.ModelProto;if(r.irVersion!=null&&(d.Long?(A.irVersion=d.Long.fromValue(r.irVersion)).unsigned=!1:typeof r.irVersion=="string"?A.irVersion=parseInt(r.irVersion,10):typeof r.irVersion=="number"?A.irVersion=r.irVersion:typeof r.irVersion=="object"&&(A.irVersion=new d.LongBits(r.irVersion.low>>>0,r.irVersion.high>>>0).toNumber())),r.opsetImport){if(!Array.isArray(r.opsetImport))throw TypeError(".onnx.ModelProto.opsetImport: array expected");A.opsetImport=[];for(var l=0;l<r.opsetImport.length;++l){if(typeof r.opsetImport[l]!="object")throw TypeError(".onnx.ModelProto.opsetImport: object expected");A.opsetImport[l]=n.onnx.OperatorSetIdProto.fromObject(r.opsetImport[l])}}if(r.producerName!=null&&(A.producerName=String(r.producerName)),r.producerVersion!=null&&(A.producerVersion=String(r.producerVersion)),r.domain!=null&&(A.domain=String(r.domain)),r.modelVersion!=null&&(d.Long?(A.modelVersion=d.Long.fromValue(r.modelVersion)).unsigned=!1:typeof r.modelVersion=="string"?A.modelVersion=parseInt(r.modelVersion,10):typeof r.modelVersion=="number"?A.modelVersion=r.modelVersion:typeof r.modelVersion=="object"&&(A.modelVersion=new d.LongBits(r.modelVersion.low>>>0,r.modelVersion.high>>>0).toNumber())),r.docString!=null&&(A.docString=String(r.docString)),r.graph!=null){if(typeof r.graph!="object")throw TypeError(".onnx.ModelProto.graph: object expected");A.graph=n.onnx.GraphProto.fromObject(r.graph)}if(r.metadataProps){if(!Array.isArray(r.metadataProps))throw TypeError(".onnx.ModelProto.metadataProps: array expected");A.metadataProps=[];for(var l=0;l<r.metadataProps.length;++l){if(typeof r.metadataProps[l]!="object")throw TypeError(".onnx.ModelProto.metadataProps: object expected");A.metadataProps[l]=n.onnx.StringStringEntryProto.fromObject(r.metadataProps[l])}}if(r.trainingInfo){if(!Array.isArray(r.trainingInfo))throw TypeError(".onnx.ModelProto.trainingInfo: array expected");A.trainingInfo=[];for(var l=0;l<r.trainingInfo.length;++l){if(typeof r.trainingInfo[l]!="object")throw TypeError(".onnx.ModelProto.trainingInfo: object expected");A.trainingInfo[l]=n.onnx.TrainingInfoProto.fromObject(r.trainingInfo[l])}}if(r.functions){if(!Array.isArray(r.functions))throw TypeError(".onnx.ModelProto.functions: array expected");A.functions=[];for(var l=0;l<r.functions.length;++l){if(typeof r.functions[l]!="object")throw TypeError(".onnx.ModelProto.functions: object expected");A.functions[l]=n.onnx.FunctionProto.fromObject(r.functions[l])}}return A},g.toObject=function(r,A){A||(A={});var l={};if((A.arrays||A.defaults)&&(l.opsetImport=[],l.metadataProps=[],l.trainingInfo=[],l.functions=[]),A.defaults){if(d.Long){var p=new d.Long(0,0,!1);l.irVersion=A.longs===String?p.toString():A.longs===Number?p.toNumber():p}else l.irVersion=A.longs===String?"0":0;if(l.producerName="",l.producerVersion="",l.domain="",d.Long){var p=new d.Long(0,0,!1);l.modelVersion=A.longs===String?p.toString():A.longs===Number?p.toNumber():p}else l.modelVersion=A.longs===String?"0":0;l.docString="",l.graph=null}if(r.irVersion!=null&&r.hasOwnProperty("irVersion")&&(typeof r.irVersion=="number"?l.irVersion=A.longs===String?String(r.irVersion):r.irVersion:l.irVersion=A.longs===String?d.Long.prototype.toString.call(r.irVersion):A.longs===Number?new d.LongBits(r.irVersion.low>>>0,r.irVersion.high>>>0).toNumber():r.irVersion),r.producerName!=null&&r.hasOwnProperty("producerName")&&(l.producerName=r.producerName),r.producerVersion!=null&&r.hasOwnProperty("producerVersion")&&(l.producerVersion=r.producerVersion),r.domain!=null&&r.hasOwnProperty("domain")&&(l.domain=r.domain),r.modelVersion!=null&&r.hasOwnProperty("modelVersion")&&(typeof r.modelVersion=="number"?l.modelVersion=A.longs===String?String(r.modelVersion):r.modelVersion:l.modelVersion=A.longs===String?d.Long.prototype.toString.call(r.modelVersion):A.longs===Number?new d.LongBits(r.modelVersion.low>>>0,r.modelVersion.high>>>0).toNumber():r.modelVersion),r.docString!=null&&r.hasOwnProperty("docString")&&(l.docString=r.docString),r.graph!=null&&r.hasOwnProperty("graph")&&(l.graph=n.onnx.GraphProto.toObject(r.graph,A)),r.opsetImport&&r.opsetImport.length){l.opsetImport=[];for(var C=0;C<r.opsetImport.length;++C)l.opsetImport[C]=n.onnx.OperatorSetIdProto.toObject(r.opsetImport[C],A)}if(r.metadataProps&&r.metadataProps.length){l.metadataProps=[];for(var C=0;C<r.metadataProps.length;++C)l.metadataProps[C]=n.onnx.StringStringEntryProto.toObject(r.metadataProps[C],A)}if(r.trainingInfo&&r.trainingInfo.length){l.trainingInfo=[];for(var C=0;C<r.trainingInfo.length;++C)l.trainingInfo[C]=n.onnx.TrainingInfoProto.toObject(r.trainingInfo[C],A)}if(r.functions&&r.functions.length){l.functions=[];for(var C=0;C<r.functions.length;++C)l.functions[C]=n.onnx.FunctionProto.toObject(r.functions[C],A)}return l},g.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},g.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.ModelProto"},g}(),s.StringStringEntryProto=function(){function g(r){if(r)for(var A=Object.keys(r),l=0;l<A.length;++l)r[A[l]]!=null&&(this[A[l]]=r[A[l]])}return g.prototype.key="",g.prototype.value="",g.create=function(r){return new g(r)},g.encode=function(r,A){return A||(A=i.create()),r.key!=null&&Object.hasOwnProperty.call(r,"key")&&A.uint32(10).string(r.key),r.value!=null&&Object.hasOwnProperty.call(r,"value")&&A.uint32(18).string(r.value),A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof o||(r=o.create(r));for(var l=A===void 0?r.len:r.pos+A,p=new n.onnx.StringStringEntryProto;r.pos<l;){var C=r.uint32();switch(C>>>3){case 1:{p.key=r.string();break}case 2:{p.value=r.string();break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){return typeof r!="object"||r===null?"object expected":r.key!=null&&r.hasOwnProperty("key")&&!d.isString(r.key)?"key: string expected":r.value!=null&&r.hasOwnProperty("value")&&!d.isString(r.value)?"value: string expected":null},g.fromObject=function(r){if(r instanceof n.onnx.StringStringEntryProto)return r;var A=new n.onnx.StringStringEntryProto;return r.key!=null&&(A.key=String(r.key)),r.value!=null&&(A.value=String(r.value)),A},g.toObject=function(r,A){A||(A={});var l={};return A.defaults&&(l.key="",l.value=""),r.key!=null&&r.hasOwnProperty("key")&&(l.key=r.key),r.value!=null&&r.hasOwnProperty("value")&&(l.value=r.value),l},g.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},g.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.StringStringEntryProto"},g}(),s.TensorAnnotation=function(){function g(r){if(this.quantParameterTensorNames=[],r)for(var A=Object.keys(r),l=0;l<A.length;++l)r[A[l]]!=null&&(this[A[l]]=r[A[l]])}return g.prototype.tensorName="",g.prototype.quantParameterTensorNames=d.emptyArray,g.create=function(r){return new g(r)},g.encode=function(r,A){if(A||(A=i.create()),r.tensorName!=null&&Object.hasOwnProperty.call(r,"tensorName")&&A.uint32(10).string(r.tensorName),r.quantParameterTensorNames!=null&&r.quantParameterTensorNames.length)for(var l=0;l<r.quantParameterTensorNames.length;++l)n.onnx.StringStringEntryProto.encode(r.quantParameterTensorNames[l],A.uint32(18).fork()).ldelim();return A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof o||(r=o.create(r));for(var l=A===void 0?r.len:r.pos+A,p=new n.onnx.TensorAnnotation;r.pos<l;){var C=r.uint32();switch(C>>>3){case 1:{p.tensorName=r.string();break}case 2:{p.quantParameterTensorNames&&p.quantParameterTensorNames.length||(p.quantParameterTensorNames=[]),p.quantParameterTensorNames.push(n.onnx.StringStringEntryProto.decode(r,r.uint32()));break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.tensorName!=null&&r.hasOwnProperty("tensorName")&&!d.isString(r.tensorName))return"tensorName: string expected";if(r.quantParameterTensorNames!=null&&r.hasOwnProperty("quantParameterTensorNames")){if(!Array.isArray(r.quantParameterTensorNames))return"quantParameterTensorNames: array expected";for(var A=0;A<r.quantParameterTensorNames.length;++A){var l=n.onnx.StringStringEntryProto.verify(r.quantParameterTensorNames[A]);if(l)return"quantParameterTensorNames."+l}}return null},g.fromObject=function(r){if(r instanceof n.onnx.TensorAnnotation)return r;var A=new n.onnx.TensorAnnotation;if(r.tensorName!=null&&(A.tensorName=String(r.tensorName)),r.quantParameterTensorNames){if(!Array.isArray(r.quantParameterTensorNames))throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: array expected");A.quantParameterTensorNames=[];for(var l=0;l<r.quantParameterTensorNames.length;++l){if(typeof r.quantParameterTensorNames[l]!="object")throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: object expected");A.quantParameterTensorNames[l]=n.onnx.StringStringEntryProto.fromObject(r.quantParameterTensorNames[l])}}return A},g.toObject=function(r,A){A||(A={});var l={};if((A.arrays||A.defaults)&&(l.quantParameterTensorNames=[]),A.defaults&&(l.tensorName=""),r.tensorName!=null&&r.hasOwnProperty("tensorName")&&(l.tensorName=r.tensorName),r.quantParameterTensorNames&&r.quantParameterTensorNames.length){l.quantParameterTensorNames=[];for(var p=0;p<r.quantParameterTensorNames.length;++p)l.quantParameterTensorNames[p]=n.onnx.StringStringEntryProto.toObject(r.quantParameterTensorNames[p],A)}return l},g.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},g.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.TensorAnnotation"},g}(),s.GraphProto=function(){function g(r){if(this.node=[],this.initializer=[],this.sparseInitializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],r)for(var A=Object.keys(r),l=0;l<A.length;++l)r[A[l]]!=null&&(this[A[l]]=r[A[l]])}return g.prototype.node=d.emptyArray,g.prototype.name="",g.prototype.initializer=d.emptyArray,g.prototype.sparseInitializer=d.emptyArray,g.prototype.docString="",g.prototype.input=d.emptyArray,g.prototype.output=d.emptyArray,g.prototype.valueInfo=d.emptyArray,g.prototype.quantizationAnnotation=d.emptyArray,g.create=function(r){return new g(r)},g.encode=function(r,A){if(A||(A=i.create()),r.node!=null&&r.node.length)for(var l=0;l<r.node.length;++l)n.onnx.NodeProto.encode(r.node[l],A.uint32(10).fork()).ldelim();if(r.name!=null&&Object.hasOwnProperty.call(r,"name")&&A.uint32(18).string(r.name),r.initializer!=null&&r.initializer.length)for(var l=0;l<r.initializer.length;++l)n.onnx.TensorProto.encode(r.initializer[l],A.uint32(42).fork()).ldelim();if(r.docString!=null&&Object.hasOwnProperty.call(r,"docString")&&A.uint32(82).string(r.docString),r.input!=null&&r.input.length)for(var l=0;l<r.input.length;++l)n.onnx.ValueInfoProto.encode(r.input[l],A.uint32(90).fork()).ldelim();if(r.output!=null&&r.output.length)for(var l=0;l<r.output.length;++l)n.onnx.ValueInfoProto.encode(r.output[l],A.uint32(98).fork()).ldelim();if(r.valueInfo!=null&&r.valueInfo.length)for(var l=0;l<r.valueInfo.length;++l)n.onnx.ValueInfoProto.encode(r.valueInfo[l],A.uint32(106).fork()).ldelim();if(r.quantizationAnnotation!=null&&r.quantizationAnnotation.length)for(var l=0;l<r.quantizationAnnotation.length;++l)n.onnx.TensorAnnotation.encode(r.quantizationAnnotation[l],A.uint32(114).fork()).ldelim();if(r.sparseInitializer!=null&&r.sparseInitializer.length)for(var l=0;l<r.sparseInitializer.length;++l)n.onnx.SparseTensorProto.encode(r.sparseInitializer[l],A.uint32(122).fork()).ldelim();return A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof o||(r=o.create(r));for(var l=A===void 0?r.len:r.pos+A,p=new n.onnx.GraphProto;r.pos<l;){var C=r.uint32();switch(C>>>3){case 1:{p.node&&p.node.length||(p.node=[]),p.node.push(n.onnx.NodeProto.decode(r,r.uint32()));break}case 2:{p.name=r.string();break}case 5:{p.initializer&&p.initializer.length||(p.initializer=[]),p.initializer.push(n.onnx.TensorProto.decode(r,r.uint32()));break}case 15:{p.sparseInitializer&&p.sparseInitializer.length||(p.sparseInitializer=[]),p.sparseInitializer.push(n.onnx.SparseTensorProto.decode(r,r.uint32()));break}case 10:{p.docString=r.string();break}case 11:{p.input&&p.input.length||(p.input=[]),p.input.push(n.onnx.ValueInfoProto.decode(r,r.uint32()));break}case 12:{p.output&&p.output.length||(p.output=[]),p.output.push(n.onnx.ValueInfoProto.decode(r,r.uint32()));break}case 13:{p.valueInfo&&p.valueInfo.length||(p.valueInfo=[]),p.valueInfo.push(n.onnx.ValueInfoProto.decode(r,r.uint32()));break}case 14:{p.quantizationAnnotation&&p.quantizationAnnotation.length||(p.quantizationAnnotation=[]),p.quantizationAnnotation.push(n.onnx.TensorAnnotation.decode(r,r.uint32()));break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.node!=null&&r.hasOwnProperty("node")){if(!Array.isArray(r.node))return"node: array expected";for(var A=0;A<r.node.length;++A){var l=n.onnx.NodeProto.verify(r.node[A]);if(l)return"node."+l}}if(r.name!=null&&r.hasOwnProperty("name")&&!d.isString(r.name))return"name: string expected";if(r.initializer!=null&&r.hasOwnProperty("initializer")){if(!Array.isArray(r.initializer))return"initializer: array expected";for(var A=0;A<r.initializer.length;++A){var l=n.onnx.TensorProto.verify(r.initializer[A]);if(l)return"initializer."+l}}if(r.sparseInitializer!=null&&r.hasOwnProperty("sparseInitializer")){if(!Array.isArray(r.sparseInitializer))return"sparseInitializer: array expected";for(var A=0;A<r.sparseInitializer.length;++A){var l=n.onnx.SparseTensorProto.verify(r.sparseInitializer[A]);if(l)return"sparseInitializer."+l}}if(r.docString!=null&&r.hasOwnProperty("docString")&&!d.isString(r.docString))return"docString: string expected";if(r.input!=null&&r.hasOwnProperty("input")){if(!Array.isArray(r.input))return"input: array expected";for(var A=0;A<r.input.length;++A){var l=n.onnx.ValueInfoProto.verify(r.input[A]);if(l)return"input."+l}}if(r.output!=null&&r.hasOwnProperty("output")){if(!Array.isArray(r.output))return"output: array expected";for(var A=0;A<r.output.length;++A){var l=n.onnx.ValueInfoProto.verify(r.output[A]);if(l)return"output."+l}}if(r.valueInfo!=null&&r.hasOwnProperty("valueInfo")){if(!Array.isArray(r.valueInfo))return"valueInfo: array expected";for(var A=0;A<r.valueInfo.length;++A){var l=n.onnx.ValueInfoProto.verify(r.valueInfo[A]);if(l)return"valueInfo."+l}}if(r.quantizationAnnotation!=null&&r.hasOwnProperty("quantizationAnnotation")){if(!Array.isArray(r.quantizationAnnotation))return"quantizationAnnotation: array expected";for(var A=0;A<r.quantizationAnnotation.length;++A){var l=n.onnx.TensorAnnotation.verify(r.quantizationAnnotation[A]);if(l)return"quantizationAnnotation."+l}}return null},g.fromObject=function(r){if(r instanceof n.onnx.GraphProto)return r;var A=new n.onnx.GraphProto;if(r.node){if(!Array.isArray(r.node))throw TypeError(".onnx.GraphProto.node: array expected");A.node=[];for(var l=0;l<r.node.length;++l){if(typeof r.node[l]!="object")throw TypeError(".onnx.GraphProto.node: object expected");A.node[l]=n.onnx.NodeProto.fromObject(r.node[l])}}if(r.name!=null&&(A.name=String(r.name)),r.initializer){if(!Array.isArray(r.initializer))throw TypeError(".onnx.GraphProto.initializer: array expected");A.initializer=[];for(var l=0;l<r.initializer.length;++l){if(typeof r.initializer[l]!="object")throw TypeError(".onnx.GraphProto.initializer: object expected");A.initializer[l]=n.onnx.TensorProto.fromObject(r.initializer[l])}}if(r.sparseInitializer){if(!Array.isArray(r.sparseInitializer))throw TypeError(".onnx.GraphProto.sparseInitializer: array expected");A.sparseInitializer=[];for(var l=0;l<r.sparseInitializer.length;++l){if(typeof r.sparseInitializer[l]!="object")throw TypeError(".onnx.GraphProto.sparseInitializer: object expected");A.sparseInitializer[l]=n.onnx.SparseTensorProto.fromObject(r.sparseInitializer[l])}}if(r.docString!=null&&(A.docString=String(r.docString)),r.input){if(!Array.isArray(r.input))throw TypeError(".onnx.GraphProto.input: array expected");A.input=[];for(var l=0;l<r.input.length;++l){if(typeof r.input[l]!="object")throw TypeError(".onnx.GraphProto.input: object expected");A.input[l]=n.onnx.ValueInfoProto.fromObject(r.input[l])}}if(r.output){if(!Array.isArray(r.output))throw TypeError(".onnx.GraphProto.output: array expected");A.output=[];for(var l=0;l<r.output.length;++l){if(typeof r.output[l]!="object")throw TypeError(".onnx.GraphProto.output: object expected");A.output[l]=n.onnx.ValueInfoProto.fromObject(r.output[l])}}if(r.valueInfo){if(!Array.isArray(r.valueInfo))throw TypeError(".onnx.GraphProto.valueInfo: array expected");A.valueInfo=[];for(var l=0;l<r.valueInfo.length;++l){if(typeof r.valueInfo[l]!="object")throw TypeError(".onnx.GraphProto.valueInfo: object expected");A.valueInfo[l]=n.onnx.ValueInfoProto.fromObject(r.valueInfo[l])}}if(r.quantizationAnnotation){if(!Array.isArray(r.quantizationAnnotation))throw TypeError(".onnx.GraphProto.quantizationAnnotation: array expected");A.quantizationAnnotation=[];for(var l=0;l<r.quantizationAnnotation.length;++l){if(typeof r.quantizationAnnotation[l]!="object")throw TypeError(".onnx.GraphProto.quantizationAnnotation: object expected");A.quantizationAnnotation[l]=n.onnx.TensorAnnotation.fromObject(r.quantizationAnnotation[l])}}return A},g.toObject=function(r,A){A||(A={});var l={};if((A.arrays||A.defaults)&&(l.node=[],l.initializer=[],l.input=[],l.output=[],l.valueInfo=[],l.quantizationAnnotation=[],l.sparseInitializer=[]),A.defaults&&(l.name="",l.docString=""),r.node&&r.node.length){l.node=[];for(var p=0;p<r.node.length;++p)l.node[p]=n.onnx.NodeProto.toObject(r.node[p],A)}if(r.name!=null&&r.hasOwnProperty("name")&&(l.name=r.name),r.initializer&&r.initializer.length){l.initializer=[];for(var p=0;p<r.initializer.length;++p)l.initializer[p]=n.onnx.TensorProto.toObject(r.initializer[p],A)}if(r.docString!=null&&r.hasOwnProperty("docString")&&(l.docString=r.docString),r.input&&r.input.length){l.input=[];for(var p=0;p<r.input.length;++p)l.input[p]=n.onnx.ValueInfoProto.toObject(r.input[p],A)}if(r.output&&r.output.length){l.output=[];for(var p=0;p<r.output.length;++p)l.output[p]=n.onnx.ValueInfoProto.toObject(r.output[p],A)}if(r.valueInfo&&r.valueInfo.length){l.valueInfo=[];for(var p=0;p<r.valueInfo.length;++p)l.valueInfo[p]=n.onnx.ValueInfoProto.toObject(r.valueInfo[p],A)}if(r.quantizationAnnotation&&r.quantizationAnnotation.length){l.quantizationAnnotation=[];for(var p=0;p<r.quantizationAnnotation.length;++p)l.quantizationAnnotation[p]=n.onnx.TensorAnnotation.toObject(r.quantizationAnnotation[p],A)}if(r.sparseInitializer&&r.sparseInitializer.length){l.sparseInitializer=[];for(var p=0;p<r.sparseInitializer.length;++p)l.sparseInitializer[p]=n.onnx.SparseTensorProto.toObject(r.sparseInitializer[p],A)}return l},g.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},g.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.GraphProto"},g}(),s.TensorProto=function(){function g(r){if(this.dims=[],this.floatData=[],this.int32Data=[],this.stringData=[],this.int64Data=[],this.externalData=[],this.doubleData=[],this.uint64Data=[],r)for(var A=Object.keys(r),l=0;l<A.length;++l)r[A[l]]!=null&&(this[A[l]]=r[A[l]])}return g.prototype.dims=d.emptyArray,g.prototype.dataType=0,g.prototype.segment=null,g.prototype.floatData=d.emptyArray,g.prototype.int32Data=d.emptyArray,g.prototype.stringData=d.emptyArray,g.prototype.int64Data=d.emptyArray,g.prototype.name="",g.prototype.docString="",g.prototype.rawData=d.newBuffer([]),g.prototype.externalData=d.emptyArray,g.prototype.dataLocation=0,g.prototype.doubleData=d.emptyArray,g.prototype.uint64Data=d.emptyArray,g.create=function(r){return new g(r)},g.encode=function(r,A){if(A||(A=i.create()),r.dims!=null&&r.dims.length){A.uint32(10).fork();for(var l=0;l<r.dims.length;++l)A.int64(r.dims[l]);A.ldelim()}if(r.dataType!=null&&Object.hasOwnProperty.call(r,"dataType")&&A.uint32(16).int32(r.dataType),r.segment!=null&&Object.hasOwnProperty.call(r,"segment")&&n.onnx.TensorProto.Segment.encode(r.segment,A.uint32(26).fork()).ldelim(),r.floatData!=null&&r.floatData.length){A.uint32(34).fork();for(var l=0;l<r.floatData.length;++l)A.float(r.floatData[l]);A.ldelim()}if(r.int32Data!=null&&r.int32Data.length){A.uint32(42).fork();for(var l=0;l<r.int32Data.length;++l)A.int32(r.int32Data[l]);A.ldelim()}if(r.stringData!=null&&r.stringData.length)for(var l=0;l<r.stringData.length;++l)A.uint32(50).bytes(r.stringData[l]);if(r.int64Data!=null&&r.int64Data.length){A.uint32(58).fork();for(var l=0;l<r.int64Data.length;++l)A.int64(r.int64Data[l]);A.ldelim()}if(r.name!=null&&Object.hasOwnProperty.call(r,"name")&&A.uint32(66).string(r.name),r.rawData!=null&&Object.hasOwnProperty.call(r,"rawData")&&A.uint32(74).bytes(r.rawData),r.doubleData!=null&&r.doubleData.length){A.uint32(82).fork();for(var l=0;l<r.doubleData.length;++l)A.double(r.doubleData[l]);A.ldelim()}if(r.uint64Data!=null&&r.uint64Data.length){A.uint32(90).fork();for(var l=0;l<r.uint64Data.length;++l)A.uint64(r.uint64Data[l]);A.ldelim()}if(r.docString!=null&&Object.hasOwnProperty.call(r,"docString")&&A.uint32(98).string(r.docString),r.externalData!=null&&r.externalData.length)for(var l=0;l<r.externalData.length;++l)n.onnx.StringStringEntryProto.encode(r.externalData[l],A.uint32(106).fork()).ldelim();return r.dataLocation!=null&&Object.hasOwnProperty.call(r,"dataLocation")&&A.uint32(112).int32(r.dataLocation),A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof o||(r=o.create(r));for(var l=A===void 0?r.len:r.pos+A,p=new n.onnx.TensorProto;r.pos<l;){var C=r.uint32();switch(C>>>3){case 1:{if(p.dims&&p.dims.length||(p.dims=[]),(C&7)===2)for(var K=r.uint32()+r.pos;r.pos<K;)p.dims.push(r.int64());else p.dims.push(r.int64());break}case 2:{p.dataType=r.int32();break}case 3:{p.segment=n.onnx.TensorProto.Segment.decode(r,r.uint32());break}case 4:{if(p.floatData&&p.floatData.length||(p.floatData=[]),(C&7)===2)for(var K=r.uint32()+r.pos;r.pos<K;)p.floatData.push(r.float());else p.floatData.push(r.float());break}case 5:{if(p.int32Data&&p.int32Data.length||(p.int32Data=[]),(C&7)===2)for(var K=r.uint32()+r.pos;r.pos<K;)p.int32Data.push(r.int32());else p.int32Data.push(r.int32());break}case 6:{p.stringData&&p.stringData.length||(p.stringData=[]),p.stringData.push(r.bytes());break}case 7:{if(p.int64Data&&p.int64Data.length||(p.int64Data=[]),(C&7)===2)for(var K=r.uint32()+r.pos;r.pos<K;)p.int64Data.push(r.int64());else p.int64Data.push(r.int64());break}case 8:{p.name=r.string();break}case 12:{p.docString=r.string();break}case 9:{p.rawData=r.bytes();break}case 13:{p.externalData&&p.externalData.length||(p.externalData=[]),p.externalData.push(n.onnx.StringStringEntryProto.decode(r,r.uint32()));break}case 14:{p.dataLocation=r.int32();break}case 10:{if(p.doubleData&&p.doubleData.length||(p.doubleData=[]),(C&7)===2)for(var K=r.uint32()+r.pos;r.pos<K;)p.doubleData.push(r.double());else p.doubleData.push(r.double());break}case 11:{if(p.uint64Data&&p.uint64Data.length||(p.uint64Data=[]),(C&7)===2)for(var K=r.uint32()+r.pos;r.pos<K;)p.uint64Data.push(r.uint64());else p.uint64Data.push(r.uint64());break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.dims!=null&&r.hasOwnProperty("dims")){if(!Array.isArray(r.dims))return"dims: array expected";for(var A=0;A<r.dims.length;++A)if(!d.isInteger(r.dims[A])&&!(r.dims[A]&&d.isInteger(r.dims[A].low)&&d.isInteger(r.dims[A].high)))return"dims: integer|Long[] expected"}if(r.dataType!=null&&r.hasOwnProperty("dataType")&&!d.isInteger(r.dataType))return"dataType: integer expected";if(r.segment!=null&&r.hasOwnProperty("segment")){var l=n.onnx.TensorProto.Segment.verify(r.segment);if(l)return"segment."+l}if(r.floatData!=null&&r.hasOwnProperty("floatData")){if(!Array.isArray(r.floatData))return"floatData: array expected";for(var A=0;A<r.floatData.length;++A)if(typeof r.floatData[A]!="number")return"floatData: number[] expected"}if(r.int32Data!=null&&r.hasOwnProperty("int32Data")){if(!Array.isArray(r.int32Data))return"int32Data: array expected";for(var A=0;A<r.int32Data.length;++A)if(!d.isInteger(r.int32Data[A]))return"int32Data: integer[] expected"}if(r.stringData!=null&&r.hasOwnProperty("stringData")){if(!Array.isArray(r.stringData))return"stringData: array expected";for(var A=0;A<r.stringData.length;++A)if(!(r.stringData[A]&&typeof r.stringData[A].length=="number"||d.isString(r.stringData[A])))return"stringData: buffer[] expected"}if(r.int64Data!=null&&r.hasOwnProperty("int64Data")){if(!Array.isArray(r.int64Data))return"int64Data: array expected";for(var A=0;A<r.int64Data.length;++A)if(!d.isInteger(r.int64Data[A])&&!(r.int64Data[A]&&d.isInteger(r.int64Data[A].low)&&d.isInteger(r.int64Data[A].high)))return"int64Data: integer|Long[] expected"}if(r.name!=null&&r.hasOwnProperty("name")&&!d.isString(r.name))return"name: string expected";if(r.docString!=null&&r.hasOwnProperty("docString")&&!d.isString(r.docString))return"docString: string expected";if(r.rawData!=null&&r.hasOwnProperty("rawData")&&!(r.rawData&&typeof r.rawData.length=="number"||d.isString(r.rawData)))return"rawData: buffer expected";if(r.externalData!=null&&r.hasOwnProperty("externalData")){if(!Array.isArray(r.externalData))return"externalData: array expected";for(var A=0;A<r.externalData.length;++A){var l=n.onnx.StringStringEntryProto.verify(r.externalData[A]);if(l)return"externalData."+l}}if(r.dataLocation!=null&&r.hasOwnProperty("dataLocation"))switch(r.dataLocation){default:return"dataLocation: enum value expected";case 0:case 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p.defaults&&(C.elemType=0,C.shape=null),l.elemType!=null&&l.hasOwnProperty("elemType")&&(C.elemType=l.elemType),l.shape!=null&&l.hasOwnProperty("shape")&&(C.shape=n.onnx.TensorShapeProto.toObject(l.shape,p)),C},A.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},A.getTypeUrl=function(l){return l===void 0&&(l="type.googleapis.com"),l+"/onnx.TypeProto.SparseTensor"},A}(),g}(),s.OperatorSetIdProto=function(){function g(r){if(r)for(var A=Object.keys(r),l=0;l<A.length;++l)r[A[l]]!=null&&(this[A[l]]=r[A[l]])}return g.prototype.domain="",g.prototype.version=d.Long?d.Long.fromBits(0,0,!1):0,g.create=function(r){return new g(r)},g.encode=function(r,A){return A||(A=i.create()),r.domain!=null&&Object.hasOwnProperty.call(r,"domain")&&A.uint32(10).string(r.domain),r.version!=null&&Object.hasOwnProperty.call(r,"version")&&A.uint32(16).int64(r.version),A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof 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l=0;l<r.attribute.length;++l)A.uint32(50).string(r.attribute[l]);if(r.node!=null&&r.node.length)for(var l=0;l<r.node.length;++l)n.onnx.NodeProto.encode(r.node[l],A.uint32(58).fork()).ldelim();if(r.docString!=null&&Object.hasOwnProperty.call(r,"docString")&&A.uint32(66).string(r.docString),r.opsetImport!=null&&r.opsetImport.length)for(var l=0;l<r.opsetImport.length;++l)n.onnx.OperatorSetIdProto.encode(r.opsetImport[l],A.uint32(74).fork()).ldelim();if(r.domain!=null&&Object.hasOwnProperty.call(r,"domain")&&A.uint32(82).string(r.domain),r.attributeProto!=null&&r.attributeProto.length)for(var l=0;l<r.attributeProto.length;++l)n.onnx.AttributeProto.encode(r.attributeProto[l],A.uint32(90).fork()).ldelim();return A},g.encodeDelimited=function(r,A){return this.encode(r,A).ldelim()},g.decode=function(r,A){r instanceof o||(r=o.create(r));for(var l=A===void 0?r.len:r.pos+A,p=new n.onnx.FunctionProto;r.pos<l;){var C=r.uint32();switch(C>>>3){case 1:{p.name=r.string();break}case 4:{p.input&&p.input.length||(p.input=[]),p.input.push(r.string());break}case 5:{p.output&&p.output.length||(p.output=[]),p.output.push(r.string());break}case 6:{p.attribute&&p.attribute.length||(p.attribute=[]),p.attribute.push(r.string());break}case 11:{p.attributeProto&&p.attributeProto.length||(p.attributeProto=[]),p.attributeProto.push(n.onnx.AttributeProto.decode(r,r.uint32()));break}case 7:{p.node&&p.node.length||(p.node=[]),p.node.push(n.onnx.NodeProto.decode(r,r.uint32()));break}case 8:{p.docString=r.string();break}case 9:{p.opsetImport&&p.opsetImport.length||(p.opsetImport=[]),p.opsetImport.push(n.onnx.OperatorSetIdProto.decode(r,r.uint32()));break}case 10:{p.domain=r.string();break}default:r.skipType(C&7);break}}return p},g.decodeDelimited=function(r){return r instanceof o||(r=new o(r)),this.decode(r,r.uint32())},g.verify=function(r){if(typeof r!="object"||r===null)return"object expected";if(r.name!=null&&r.hasOwnProperty("name")&&!d.isString(r.name))return"name: string expected";if(r.input!=null&&r.hasOwnProperty("input")){if(!Array.isArray(r.input))return"input: array expected";for(var A=0;A<r.input.length;++A)if(!d.isString(r.input[A]))return"input: string[] expected"}if(r.output!=null&&r.hasOwnProperty("output")){if(!Array.isArray(r.output))return"output: array expected";for(var A=0;A<r.output.length;++A)if(!d.isString(r.output[A]))return"output: string[] expected"}if(r.attribute!=null&&r.hasOwnProperty("attribute")){if(!Array.isArray(r.attribute))return"attribute: array expected";for(var A=0;A<r.attribute.length;++A)if(!d.isString(r.attribute[A]))return"attribute: string[] expected"}if(r.attributeProto!=null&&r.hasOwnProperty("attributeProto")){if(!Array.isArray(r.attributeProto))return"attributeProto: array expected";for(var A=0;A<r.attributeProto.length;++A){var l=n.onnx.AttributeProto.verify(r.attributeProto[A]);if(l)return"attributeProto."+l}}if(r.node!=null&&r.hasOwnProperty("node")){if(!Array.isArray(r.node))return"node: array 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p=0;p<r.output.length;++p)l.output[p]=r.output[p]}if(r.attribute&&r.attribute.length){l.attribute=[];for(var p=0;p<r.attribute.length;++p)l.attribute[p]=r.attribute[p]}if(r.node&&r.node.length){l.node=[];for(var p=0;p<r.node.length;++p)l.node[p]=n.onnx.NodeProto.toObject(r.node[p],A)}if(r.docString!=null&&r.hasOwnProperty("docString")&&(l.docString=r.docString),r.opsetImport&&r.opsetImport.length){l.opsetImport=[];for(var p=0;p<r.opsetImport.length;++p)l.opsetImport[p]=n.onnx.OperatorSetIdProto.toObject(r.opsetImport[p],A)}if(r.domain!=null&&r.hasOwnProperty("domain")&&(l.domain=r.domain),r.attributeProto&&r.attributeProto.length){l.attributeProto=[];for(var p=0;p<r.attributeProto.length;++p)l.attributeProto[p]=n.onnx.AttributeProto.toObject(r.attributeProto[p],A)}return l},g.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},g.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.FunctionProto"},g}(),s}(),e.exports=n});function ur(t,e){if(!t)throw new Error(typeof e=="string"?e:e())}function kr(t){return new TextDecoder().decode(t)}var ot,Me,ai,kt,Sn,At,Rt,B,$r,Ue,Ve,ze,Y=O(()=>{wn(),qo(),ot=rr(sr()),We(),Me=class{static arraysEqual(t,e){if(t.length!==e.length)return!1;for(let a=0;a<t.length;a++)if(t[a]!==e[a])return!1;return!0}},ai=class{static preprocessInputShapes(t,e){let a=t.length===1?[1,t[0]]:t,o=e.length===1?[e[0],1]:e;return[a,o]}static postprocessOutputShape(t,e,a){e===1&&t.splice(t.length-2,1),a===1&&t.pop()}static calcMatMulShape(t,e){return t[1]!==e[0]?void 0:[t[0],e[1]]}},kt=class Lr{static calcShape(e,a,o=!1){let i=e.length,d=a.length;if(i===0)return a;if(d===0)return e;let n=Math.max(e.length,a.length),s=new Array(n);if(o){if(i<2||d<2)return;let g=ai.calcMatMulShape([e[i-2],e[i-1]],[a[d-2],a[d-1]]);if(g===void 0)return;[s[n-2],s[n-1]]=g}for(let g=o?3:1;g<=n;g++){let r=i-g<0?1:e[i-g],A=d-g<0?1:a[d-g];if(r!==A&&r>1&&A>1)return;s[n-g]=Math.max(r,A)}return s}static index(e,a){let o=new Array(a.length);return Lr.fillIndex(e,a,o),o}static fillIndex(e,a,o){let i=e.length-a.length;for(let d=0;d<a.length;d++)o[d]=e[i+d]%a[d]}static calc(e,a,o,i,d){let n=Lr.calcShape(e.dims,a.dims);if(n){if(i&&!B.areEqual(n,e.dims))return;let s=B.size(n),g=i?e:new bt(n,d||e.type);if(n.length===0)g.set([],o(e.get([]),a.get([])));else{let r=new Array(n.length),A=new Array(e.dims.length),l=new Array(a.dims.length),p=0,C=0,K=!1,c=!1;e.dims.length===0&&(p=e.get([]),K=!0),a.dims.length===0&&(C=a.get([]),c=!0);let m;for(let X=0;X<s;X++){m=X;for(let h=n.length-1;h>=0;h--)r[h]=m%n[h],m=Math.floor(m/n[h]);K||(Lr.fillIndex(r,e.dims,A),p=e.get(A)),c||(Lr.fillIndex(r,a.dims,l),C=a.get(l)),g.set(r,o(p,C))}}return g}}static isValidBroadcast(e,a){let o=e.length,i=a.length;if(o>i)return!1;for(let d=1;d<=o;d++)if(e[o-d]!==1&&e[o-d]!==a[i-d])return!1;return!0}static getBroadcastDims(e,a){let o=e.length,i=[];for(let d=0;d<o;d++){let n=o-1-d,s=e[n]||1;(a[a.length-1-d]||1)>1&&s===1&&i.unshift(n)}return i}},Sn=class{static getShapeOfGemmResult(t,e,a,o,i){if(t.length!==2||a.length!==2)throw new Error("shape need to be of size 2");let d,n,s;e?(d=t[1],n=t[0]):(d=t[0],n=t[1]);let g=-1;if(o?(s=a[0],g=1):(s=a[1],g=0),a[g]!==n)throw new Error("dimension mismatch");if(d<=0||s<=0||n<=0)throw new Error("invalid shape specified");if(i&&!kt.isValidBroadcast(i,[d,s]))throw new Error("gemm: invalid bias shape for broadcast");return[d,s,n]}},At=class $e{static tensorDataTypeFromProto(e){switch(e){case ot.onnx.TensorProto.DataType.INT8:return"int8";case ot.onnx.TensorProto.DataType.UINT8:return"uint8";case ot.onnx.TensorProto.DataType.BOOL:return"bool";case ot.onnx.TensorProto.DataType.INT16:return"int16";case ot.onnx.TensorProto.DataType.UINT16:return"uint16";case ot.onnx.TensorProto.DataType.INT32:return"int32";case ot.onnx.TensorProto.DataType.UINT32:return"uint32";case ot.onnx.TensorProto.DataType.FLOAT:return"float32";case ot.onnx.TensorProto.DataType.DOUBLE:return"float64";case ot.onnx.TensorProto.DataType.STRING:return"string";case ot.onnx.TensorProto.DataType.INT64:return"int32";case ot.onnx.TensorProto.DataType.UINT64:return"uint32";default:throw new Error(`unsupported data type: ${ot.onnx.TensorProto.DataType[e]}`)}}static tensorDataTypeStringToEnum(e){switch(e){case"int8":return ot.onnx.TensorProto.DataType.INT8;case"uint8":return ot.onnx.TensorProto.DataType.UINT8;case"bool":return ot.onnx.TensorProto.DataType.BOOL;case"int16":return ot.onnx.TensorProto.DataType.INT16;case"uint16":return ot.onnx.TensorProto.DataType.UINT16;case"int32":return ot.onnx.TensorProto.DataType.INT32;case"uint32":return ot.onnx.TensorProto.DataType.UINT32;case"float32":return ot.onnx.TensorProto.DataType.FLOAT;case"float64":return ot.onnx.TensorProto.DataType.DOUBLE;case"string":return ot.onnx.TensorProto.DataType.STRING;case"int64":return ot.onnx.TensorProto.DataType.INT64;case"uint64":return ot.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${e}`)}}static tensorDimsFromProto(e){return e.map(a=>xe.isLong(a)?a.toNumber():a)}static tensorValueTypeFromProto(e){return{tensorType:$e.tensorDataTypeFromProto(e.elemType),shape:{dims:$e.tensorDimsFromProto(e.shape.dim.map(a=>a.dimValue))}}}static tensorDimsFromORTFormat(e){let a=[];for(let o=0;o<e.dimsLength();o++)a.push(Rt.longToNumber(e.dims(o)));return a}static tensorAttributesFromORTFormat(e){let a=[];for(let o=0;o<e.attributesLength();o++)a.push(e.attributes(o));return a}},Rt=class{static longToNumber(t,e){return xe.isLong(t)?t.toNumber():t instanceof w.Long?xe.fromValue({low:t.low,high:t.high,unsigned:e??!1}).toNumber():t}static isLong(t){return xe.isLong(t)||t instanceof w.Long}},B=class Pt{static size(e){return Pt.getSizeFromDimensionRange(e,0,e.length)}static sizeFromDimension(e,a){if(a<0||a>e.length)throw new Error(`invalid dimension of ${a} for sizeFromDimension as Tensor has ${e.length} dimensions.`);return Pt.getSizeFromDimensionRange(e,a,e.length)}static sizeToDimension(e,a){if(a<0||a>e.length)throw new Error(`invalid dimension of ${a} for sizeToDimension as Tensor has ${e.length} dimensions.`);return Pt.getSizeFromDimensionRange(e,0,a)}static getSizeFromDimensionRange(e,a,o){let i=1;for(let d=a;d<o;d++){if(e[d]<=0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.");i*=e[d]}return i}static computeStrides(e){let a=e.length;if(a===0)return[];if(a===1)return[1];let o=new Array(a);o[a-1]=1,o[a-2]=e[a-1];for(let i=a-3;i>=0;--i)o[i]=o[i+1]*e[i+1];return o}static transpose(e){return e.slice().reverse()}static indicesToOffset(e,a,o){o===void 0&&(o=e.length);let i=0;for(let d=0;d<o;++d)i+=a[d]*e[d];return i}static offsetToIndices(e,a){let o=a.length;if(o===0)return[];if(o===1)return[e*a[0]];let i=new Array(a.length);for(let d=0;d<i.length-1;++d)i[d]=Math.floor(e/a[d]),e-=i[d]*a[d];return i[i.length-1]=e,i}static normalizeAxis(e,a){if(e<-a&&e>=a)throw new Error("unsupported axis for this operation.");return e<0?e+a:e}static normalizeAxes(e,a){return e.map(o=>this.normalizeAxis(o,a))}static incrementIndex(e,a,o){if(a.length===0||e.length===0)throw new Error("Index incrementing unsupported for scalar Tensor");if(o===void 0)o=a.length;else if(o<=0||o>a.length)throw new Error("Incorrect axis to increment on");for(let i=o-1;i>=0&&(e[i]++,!(e[i]<a[i]));--i)e[i]=0}static calculateReshapedDims(e,a){if(a.length===0){if(e.length===0||Pt.size(e)===1)return[];throw new Error("cannot reshape to a scalar Tensor")}let o=a.length,i=new Array(o),d=-1,n=1;for(let g=0;g<o;g++){if(a[g]<-1)throw new Error("a dimension in shape hints cannot be less than -1");if(a[g]===-1){if(d!==-1)throw new Error("at most one dimension in shape hints can be -1");d=g}else{if(a[g]===0){if(g>=e.length)throw new Error("the dimension with value zero exceeds the dimension size of the input tensor");i[g]=e[g]}else i[g]=a[g];n*=i[g]}}let s=Pt.size(e);if(d!==-1){if(s%n!==0)throw new Error(`the input tensor cannot be reshaped to the requested shape. Input shape: [${e}] Output shape: [${a}]`);i[d]=s/n}else if(n!==s)throw new Error("reshapedDims and originalDims don't have matching sizes");return i}static sortBasedOnPerm(e,a){return a?a.map(o=>e[o]):e.slice().reverse()}static padShape(e,a){let o=e.length;return e.map((i,d)=>i+a[d]+a[d+o])}static areEqual(e,a){return e.length!==a.length?!1:e.every((o,i)=>o===a[i])}static validateDimsAndCalcSize(e){if(e.length>6)throw new TypeError("Only rank 0 to 6 is supported for tensor shape.");let a=1;for(let o of e){if(!Number.isInteger(o))throw new TypeError(`Invalid shape: ${o} is not an integer`);if(o<0||o>2147483647)throw new TypeError(`Invalid shape: length ${o} is not allowed`);a*=o}return a}static flattenShape(e,a){a<0&&(a+=e.length);let o=e.reduce((d,n)=>d*n,1),i=e.slice(a).reduce((d,n)=>d*n,1);return[o/i,i]}static squeezeShape(e,a){let o=new Array;a=Pt.normalizeAxes(a,e.length);for(let i=0;i<e.length;i++){let d=a.indexOf(i)>=0;if(d&&e[i]!==1)throw new Error("squeeze an axis of size different than 1");(a.length===0&&e[i]>1||a.length>0&&!d)&&o.push(e[i])}return o}static unsqueezeShape(e,a){let o=new Array(e.length+a.length);o.fill(0);for(let d=0;d<a.length;d++){let n=Pt.normalizeAxis(a[d],o.length);if(n>=o.length)throw new Error("'axes' has an out of range axis");if(o[n]!==0)throw new Error("'axes' has a duplicate axis");o[n]=1}let i=0;for(let d=0;d<o.length;d++)o[d]===0&&(o[d]=e[i++]);if(i!==e.length)throw new Error("the unsqueezed dimension could not be established");return o}},$r=class Za{static splitShape(e,a,o,i){if(o.length===0){if(!i)throw new Error("need to know number of outputs when the 'split' attribute is not specified");Za.determineSplit(e[a],i,o)}let d=[],n=[0];for(let s=0;s<o.length;++s){s!==0&&n.push(n[s-1]+o[s-1]);let g=e.slice();g[a]=o[s],d.push(g)}return[d,n]}static determineSplit(e,a,o){if(e%a!==0)throw new Error("cannot split tensor to equal sized parts");for(let i=0;i<a;++i)o.push(e/a)}},Ue=class Ir{static adjustPoolAttributes(e,a,o,i,d,n){if(!e&&o.length!==a.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(e)for(let s=0;s<a.length-2;s++)s>=o.length?o.push(a[s+2]):o[s]=a[s+2];for(let s=0;s<o.length;s++)if(s<i.length){if(i[s]<0)throw new Error("strides should be greater than or equal to 1")}else i.push(1);for(let s=0;s<o.length;s++)if(s<d.length){if(d[s]<0)throw new Error("dilations should be greater than or equal to 1")}else d.push(1);for(let s=0;s<o.length*2;s++)if(s<n.length){if(n[s]<0)throw new Error("pad should be greater than or equal to 1")}else n.push(0);for(let s=0;s<o.length;s++){if(o[s]<=0)throw new Error("kernel shapes need to be greater than 0");if(n[s]>=o[s]||n[s+o.length]>=o[s])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(e,a,o,i,d,n){if(n){if(d.length!==2*(e.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(a.length!==e.length-2)throw new Error("length of strides should be the length of data dimensions");if(i.length!==e.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let s=0;s<e.length-2;s++)Ir.adjustPadAndReturnShape(e[s+2],a[s],o[s],i[s],d,s,s+e.length-2,n)}}static computePoolOutputShape(e,a,o,i,d,n,s){if(a.length<=0)throw new Error("input shape must be of size greater than 0");let g=[a[0],a[1]];return Ir.computeShapeHelper(e,a,g,o,i,d,n,s),g}static computeConvOutputShape(e,a,o,i,d,n,s){if(e.length<=0||a.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");let g=[e[0],a[0]];return Ir.computeShapeHelper(!1,e,g,o,i,d,n,s),g}static computeShapeHelper(e,a,o,i,d,n,s,g){if(e)for(let r=0;r<a.length-2;r++)o.push(1);else for(let r=0;r<a.length-2;r++)o.push(Ir.adjustPadAndReturnShape(a[r+2],i[r],d[r],n[r],s,r,r+a.length-2,g))}static adjustPadAndReturnShape(e,a,o,i,d,n,s,g){let r=o*(i-1)+1;if(g&&g!=="NOTSET")switch(g){case"VALID":return d[n]=0,d[s]=0,Math.floor((e-r)/a+1);case"SAME_LOWER":case"SAME_UPPER":if(o!==1)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{let A=((e+a-1)/a-1)*a+i-e;return d[n]=Math.floor(g==="SAME_LOWER"?(A+1)/2:A/2),d[s]=A-d[n],Math.floor((e+A-i)/a+1)}default:throw new Error("Unsupported AutoPad type")}else return Math.floor((e+d[n]+d[s]-r)/a+1)}},Ve=-34028234663852886e22,ze=34028234663852886e22});function hh(t){switch(t){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 ${t}`)}}function Wu(t){switch(t){case H.onnx.TensorProto.DataType.UINT8:case H.onnx.TensorProto.DataType.INT8:case H.onnx.TensorProto.DataType.BOOL:return 1;case H.onnx.TensorProto.DataType.UINT16:case H.onnx.TensorProto.DataType.INT16:return 2;case H.onnx.TensorProto.DataType.FLOAT:case H.onnx.TensorProto.DataType.INT32:case H.onnx.TensorProto.DataType.UINT32:return 4;case H.onnx.TensorProto.DataType.INT64:case H.onnx.TensorProto.DataType.DOUBLE:case H.onnx.TensorProto.DataType.UINT64:return 8;default:throw new Error(`cannot calculate sizeof() on type ${H.onnx.TensorProto.DataType[t]}`)}}function mh(t,e){return new(ju(e))(t)}function ju(t){switch(t){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 ui(t,e){if(e===H.onnx.TensorProto.DataType.INT64||e===si.TensorDataType.INT64){if(t.greaterThanOrEqual(2147483648)||t.lessThan(-2147483648))throw new TypeError("int64 is not supported")}else if(e===H.onnx.TensorProto.DataType.UINT32||e===si.TensorDataType.UINT32||e===H.onnx.TensorProto.DataType.UINT64||e===si.TensorDataType.UINT64){if(t.greaterThanOrEqual(4294967296)||t.lessThan(0))throw new TypeError("uint64 is not supported")}else throw new TypeError(`not a LONG type: ${H.onnx.TensorProto.DataType[e]}`);return t.toNumber()}function Hu(t,e,a){switch(e){case H.onnx.TensorProto.DataType.BOOL:case H.onnx.TensorProto.DataType.UINT8:return t.getUint8(a);case H.onnx.TensorProto.DataType.INT8:return t.getInt8(a);case H.onnx.TensorProto.DataType.UINT16:return t.getUint16(a,!0);case H.onnx.TensorProto.DataType.INT16:return t.getInt16(a,!0);case H.onnx.TensorProto.DataType.FLOAT:return t.getFloat32(a,!0);case H.onnx.TensorProto.DataType.INT32:return t.getInt32(a,!0);case H.onnx.TensorProto.DataType.UINT32:return t.getUint32(a,!0);case H.onnx.TensorProto.DataType.INT64:return ui(xe.fromBits(t.getUint32(a,!0),t.getUint32(a+4,!0),!1),e);case H.onnx.TensorProto.DataType.DOUBLE:return t.getFloat64(a,!0);case H.onnx.TensorProto.DataType.UINT64:return ui(xe.fromBits(t.getUint32(a,!0),t.getUint32(a+4,!0),!0),e);default:throw new Error(`cannot read from DataView for type ${H.onnx.TensorProto.DataType[e]}`)}}var qu,H,si,bt,We=O(()=>{qu=rr(Fs()),qo(),Pr(),H=rr(sr()),Y(),si=F.experimental.fbs,bt=class Qe{constructor(e,a,o,i,d,n=qu.Guid.create()){this.dims=e,this.type=a,this.dataProvider=o,this.asyncDataProvider=i,this.cache=d,this.dataId=n,this.size=B.validateDimsAndCalcSize(e);let s=this.size,g=o===void 0&&i===void 0&&d===void 0;if(d!==void 0&&d.length!==s)throw new RangeError("Input dims doesn't match data length.");if(a==="string"){if(d!==void 0&&(!Array.isArray(d)||!d.every(r=>typeof r=="string")))throw new TypeError("cache should be a string array");g&&(this.cache=new Array(s))}else{if(d!==void 0){let r=ju(a);if(!(d instanceof r))throw new TypeError(`cache should be type ${r.name}`)}if(g){let r=new ArrayBuffer(s*hh(a));this.cache=mh(r,a)}}}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[B.indicesToOffset(e,this.strides)]}set(e,a){this.data[B.indicesToOffset(e,this.strides)]=a}async getData(){return this.cache===void 0&&(this.cache=await this.asyncDataProvider(this.dataId)),this.cache}get strides(){return this._strides||(this._strides=B.computeStrides(this.dims)),this._strides}static fromProto(e){if(!e)throw new Error("cannot construct Value from an empty tensor");let a=At.tensorDataTypeFromProto(e.dataType),o=At.tensorDimsFromProto(e.dims),i=new Qe(o,a);if(a==="string")e.stringData.forEach((d,n)=>{i.data[n]=kr(d)});else if(e.rawData&&typeof e.rawData.byteLength=="number"&&e.rawData.byteLength>0){let d=i.data,n=new DataView(e.rawData.buffer,e.rawData.byteOffset,e.rawData.byteLength),s=Wu(e.dataType),g=e.rawData.byteLength/s;if(e.rawData.byteLength%s!==0)throw new Error("invalid buffer length");if(d.length!==g)throw new Error("buffer length mismatch");for(let r=0;r<g;r++){let A=Hu(n,e.dataType,r*s);d[r]=A}}else{let d;switch(e.dataType){case H.onnx.TensorProto.DataType.FLOAT:d=e.floatData;break;case H.onnx.TensorProto.DataType.INT32:case H.onnx.TensorProto.DataType.INT16:case H.onnx.TensorProto.DataType.UINT16:case H.onnx.TensorProto.DataType.INT8:case H.onnx.TensorProto.DataType.UINT8:case H.onnx.TensorProto.DataType.BOOL:d=e.int32Data;break;case H.onnx.TensorProto.DataType.INT64:d=e.int64Data;break;case H.onnx.TensorProto.DataType.DOUBLE:d=e.doubleData;break;case H.onnx.TensorProto.DataType.UINT32:case H.onnx.TensorProto.DataType.UINT64:d=e.uint64Data;break;default:throw new Error("unspecific error")}if(d==null)throw new Error("failed to populate data from a tensorproto value");let n=i.data;if(n.length!==d.length)throw new Error("array length mismatch");for(let s=0;s<d.length;s++){let g=d[s];xe.isLong(g)?n[s]=ui(g,e.dataType):n[s]=g}}return i}static fromData(e,a,o){return new Qe(a,o,void 0,void 0,e)}static fromOrtTensor(e){if(!e)throw new Error("cannot construct Value from an empty tensor");let a=At.tensorDimsFromORTFormat(e),o=At.tensorDataTypeFromProto(e.dataType()),i=new Qe(a,o);if(o==="string")for(let d=0;d<e.stringDataLength();d++)i.data[d]=e.stringData(d);else if(e.rawDataArray()&&typeof e.rawDataLength()=="number"&&e.rawDataLength()>0){let d=i.data,n=new DataView(e.rawDataArray().buffer,e.rawDataArray().byteOffset,e.rawDataLength()),s=Wu(e.dataType()),g=e.rawDataLength()/s;if(e.rawDataLength()%s!==0)throw new Error("invalid buffer length");if(d.length!==g)throw new Error("buffer length mismatch");for(let r=0;r<g;r++){let A=Hu(n,e.dataType(),r*s);d[r]=A}}return i}}});function G(t){return t===1?bh:gh}function Xu(t){let e=G(t);return`${e.version}
+      precision highp float;
+      ${e.attribute} vec3 position;
+      ${e.attribute} vec2 textureCoord;
+
+      ${e.varyingVertex} vec2 TexCoords;
+
+      void main()
+      {
+          gl_Position = vec4(position, 1.0);
+          TexCoords = textureCoord;
+      }`}function Ku(t){let e=G(t);return`${e.version}
+    precision highp float;
+    precision highp int;
+    precision highp sampler2D;
+    ${e.varyingFrag} vec2 TexCoords;
+    ${e.outputDeclaration}
+    const vec2 halfCR = vec2(0.5, 0.5);
+
+    // Custom vector types to handle higher dimenalities.
+    struct ivec5
+    {
+      int x;
+      int y;
+      int z;
+      int w;
+      int u;
+    };
+
+    struct ivec6
+    {
+      int x;
+      int y;
+      int z;
+      int w;
+      int u;
+      int v;
+    };
+
+    int imod(int x, int y) {
+      return x - y * (x / y);
+    }
+
+    `}function Ju(t,e){let a=G(t);return`
+  void main() {
+    int indices[${e}];
+    toVec(TexCoords, indices);
+    vec4 result = vec4(process(indices));
+    ${a.output} = result;
+  }
+  `}var bh,gh,ut=O(()=>{bh={version:"",attribute:"attribute",varyingVertex:"varying",varyingFrag:"varying",texture2D:"texture2D",output:"gl_FragColor",outputDeclaration:""},gh={version:"#version 300 es",attribute:"in",varyingVertex:"out",varyingFrag:"in",texture2D:"texture",output:"outputColor",outputDeclaration:"out vec4 outputColor;"}}),j=O(()=>{});async function li(t,e=o=>0,a){return new Promise((o,i)=>{let d=0,n=()=>{if(t()){o();return}d++;let s=e(d);setTimeout(n,s)};n()})}function An(t){return ur(typeof t<"u"&&t.length!==0,()=>"empty string found for sampler name"),"get"+t.charAt(0).toUpperCase()+t.slice(1)}function Yu(t){return ur(typeof t<"u"&&t.length!==0,()=>"empty string found for sampler name"),"get"+t.charAt(0).toUpperCase()+t.slice(1)+"AtOutCoords"}function lr(t,e){let a=JSON.parse(JSON.stringify(t));return a=e,a}function fr(t,e){return e.map(a=>t[a]).join(", ")}function Bt(t){if(t<=1)return"int";if(t===2)return"ivec2";if(t===3)return"ivec3";if(t===4)return"ivec4";if(t===5)return"ivec5";if(t===6)return"ivec6";throw Error(`GPU for rank ${t} is not yet supported`)}function ne(t=6){return["x","y","z","w","u","v"].slice(0,t)}var pe=O(()=>{Y()});function yh(t,e){return ne(e).map(a=>`${t}.${a}`)}function cr(t,e){return e===1?[t]:yh(t,e)}function de(){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. ?
+        (modCoord.y == 0. ? frag.r : frag.g) :
+        (modCoord.y == 0. ? frag.b : frag.a);
+    }
+  `}var He=O(()=>{pe()});function Th(t,e,a){if(t===0)return"false";if(t===1)return`rc > ${e[0]}`;let o="";for(let i=t-2;i<t;i++)o+=`${a[i]} >= ${e[i-t+2]}`,i<t-1&&(o+="||");return o}function wh(t,e){let a=t.length;if(a===0)return"getA(), 0, 0, 0";if(a===1)return`getA(rc),
+            rc + 1 >= ${t[0]} ? 0. : getA(rc + 1),
+            0, 0`;let o="r, c",i="r, cp1",d="rp1, c",n="rp1, cp1",s="";if(a>2)for(let g=0;g<a-2;++g)s=s+`${e[g]},`;return`getA(${s}${o}),
+          rEdge ? 0. : getA(${s}${d}),
+          cEdge ? 0. : getA(${s}${i}),
+          rEdge || cEdge ? 0. : getA(${s}${n})`}function vh(t,e,a,o){return t===0||t===1?"":`
+    int r = ${e[t-2]};
+    int c = ${e[t-1]};
+    int rp1 = ${e[t-2]} + 1;
+    int cp1 = ${e[t-1]} + 1;
+    bool rEdge = rp1 >= ${o};
+    bool cEdge = cp1 >= ${a};
+    `}var Zu,xh,Qu,tl=O(()=>{ut(),j(),pe(),He(),Zu={name:"pack",inputNames:["A"],inputTypes:[1]},xh=(t,e)=>{let a=G(t.session.backend.glContext.version),o=e.dims,i=o.length,d=e.dims.length,n=Bt(d),s=cr("rc",d),g=vh(d,s,o[o.length-2],o[o.length-1]),r;i===0?r=[1,1]:i===1?r=[o[0],1]:r=[o[d-1],o[d-2]];let A=Th(d,r,s),l=wh(o,s),p=`
+        void main() {
+          ${n} rc = getOutputCoords();
+
+          if(${A}) {
+            ${a.output} = vec4(0);
+          } else {
+            ${g}
+
+            ${a.output} = vec4(${l});
+          }
+        }
+      `;return{...Zu,hasMain:!0,output:{dims:e.dims,type:e.type,textureType:2},shaderSource:p}},Qu=(t,e)=>({...Zu,get:()=>xh(t,e)})});function fi(t){if(t.length===0)return[1,1,1];let e=1;for(let a=0;a<t.length-2;++a)e*=t[a];return[e,t.length>1?t[t.length-2]:1,t[t.length-1]]}function rl(t,e){let a=!1;return t.length===0||e.length===0?a=!0:t.length<2||e.length<2?a=t[t.length-1]===e[e.length-1]:a=t[t.length-1]===e[e.length-1]&&t[t.length-2]===e[e.length-2],a}function Oh(t){let e=B.computeStrides(t),a=["b","r","c"],o="index";return`
+    ivec3 inputCoordsFromReshapedOutCoords(int index) {
+      ${e.map((i,d)=>{let n=`int ${a[d]} = ${o} / ${i}`,s=d===e.length-1?`int ${a[d+1]} = ${o} - ${a[d]} * ${i}`:`index -= ${a[d]} * ${i}`;return`${n}; ${s};`}).join("")}
+      return ivec3(b, r, c);
+    }
+  `}function Sh(t){let e=B.computeStrides(t);return`
+  int getFlattenedIndex(ivec3 coords) {
+    // reverse y, z order
+    return coords.x * ${e[0]} + coords.z * ${e[1]} + coords.y;
+  }
+`}var Ih,_h,el,nl=O(()=>{Y(),ut(),j(),He(),Ih=t=>({name:"Reshape (packed)",inputTypes:[2],inputNames:["A"],cacheHint:`${t}`}),_h=(t,e,a,o)=>{let i=e.dims,d=o,n="";for(let r=0;r<4;r++){let A="";switch(r){case 0:A="outputCoords = rc;";break;case 1:A="outputCoords = ivec3(rc.x, rc.y+1, rc.z);";break;case 2:A="outputCoords = ivec3(rc.x, rc.y, rc.z+1);";break;case 3:A="outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);";break;default:throw new Error}n+=`
+        ${A}
+        ${r>0?"if(outputCoords.y < rows && outputCoords.z < cols){":""}
+          int flattenedIndex = getFlattenedIndex(outputCoords);
+
+          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);
+          vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));
+
+          result[${r}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);
+
+        ${r>0?"}":""}
+      `}let s=G(t.session.backend.glContext.version),g=`
+      ${Oh(i)}
+      ${Sh(d)}
+      ${de()}
+
+      void main() {
+        ivec3 rc = getOutputCoords();
+
+        vec4 result = vec4(0.0);
+
+        ivec3 outputCoords;
+        int rows = ${d[2]};
+        int cols = ${d[1]};
+
+        ${n}
+        ${s.output} = result;
+      }
+    `;return{...a,output:{dims:d,type:e.type,textureType:2},shaderSource:g,hasMain:!0}},el=(t,e,a)=>{let o=Ih(a);return{...o,get:()=>_h(t,e,o,a)}}}),ci,ol=O(()=>{ut(),j(),ci=(t,e)=>{let a=e.shape,o=G(t.session.backend.glContext.version),i=`
+    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 = ${o.texture2D}(X,TexCoords).r;
+      ${o.output} = encodeAsUint8(value);
+    }`,d={name:"Uint8Encode",inputTypes:[0],inputNames:["X"],output:{dims:a,type:e.tensor.type,textureType:3},shaderSource:i,hasMain:!0};return t.executeProgram(d,[e.tensor])}});function Ph(t,e){if(t===1)return"rc";let a="";for(let o=0;o<t;o++)a+=e[o],o<t-1&&(a+=",");return a}var il,Ah,al,sl=O(()=>{ut(),j(),pe(),He(),il={name:"unpack",inputNames:["A"],inputTypes:[2]},Ah=(t,e)=>{let a=e.dims.length,o=cr("rc",a),i=o.slice(-2),d=Bt(a),n=de(),s=e.dims.length===0?"":Ph(a,o),g=a<=1?"rc":`vec2(${i.join(",")})`,r=G(t.session.backend.glContext.version),A=`
+    ${n}
+    void main() {
+      ${d} rc = getOutputCoords();
+
+       // Sample the texture with the coords to get the rgba channel value.
+       vec4 packedInput = getA(${s});
+
+       ${r.output} = vec4(getChannel(packedInput, ${g}), 0, 0, 0);
+     }
+   `;return{...il,hasMain:!0,output:{dims:e.dims,type:e.type,textureType:0},shaderSource:A}},al=(t,e)=>({...il,get:()=>Ah(t,e)})}),Pn,Br,En,Fr=O(()=>{Ut(),Pn=class{constructor(t,e=1){if(e===1)this.internalFormat=t.R32F,this.format=t.RED,this.textureType=t.FLOAT,this.channelSize=e;else if(e===4)this.internalFormat=t.RGBA32F,this.format=t.RGBA,this.textureType=t.FLOAT,this.channelSize=e;else throw new Error(`Invalid number of channels: ${e}`)}encode(t,e){let a,o;return t.constructor!==Float32Array&&(tt.warning("Encoder","data was not of type Float32; creating new Float32Array"),o=new Float32Array(t)),e*this.channelSize>t.length?(tt.warning("Encoder","Source data too small. 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t.get=="function"?t.get():t,n=Cr(this.session.layoutStrategy,d.output.dims,d.output.textureType),s=this.createTextureData(n,d.output.type);return i||(i=this.session.programManager.build(d,a,s),this.session.programManager.setArtifact(o,i)),this.runProgram(i,a,s),s}run(t,e){return this.executeProgram(t,e).tensor}runProgram(t,e,a){for(let o=0;o<e.length;++o)if(!!e[o].isPacked!=(t.programInfo.inputTypes[o]===2))throw new Error(`input[${o}] property packed inconsistent`);if(!!a.isPacked!=(t.programInfo.output.textureType===2))throw new Error("output property packed inconsistent");this.session.programManager.run(t,e,a)}getOrCreateTextureData(t,e){let a=this.getTextureData(t.dataId,e===2);if(!a&&(a=this.getTextureData(t.dataId,e!==2),a))return e===2?this.pack(a):this.unpack(a);if(!a){let o=Cr(this.session.layoutStrategy,t.dims,e);if(e===4){let i=t.dims;if(i.length===4){let d=[i[0],Math.ceil(i[1]*i[2]*i[3]/4)],n=Cr(this.session.layoutStrategy,d,e),s=t.numberData;if(i[1]*i[2]*i[3]%4!==0){let g=i[0],r=i[1]*i[2]*i[3],A=Math.ceil(r*1/4)*4,l=g*A;s=new Float32Array(l);for(let p=0;p<g;++p){let C=p*r,K=p*A+p%1*r;s.set(t.numberData.subarray(C,C+r),K)}}return this.createTextureData(n,t.type,s,t,1)}}if(e===2){let i=pi(this.session.layoutStrategy,t.dims,1,[],{reverseWH:!0}),d=this.createTextureData(i,t.type,t.numberData,t,1);a=this.pack(d)}else a=this.createTextureData(o,t.type,t.numberData,t,1)}return a}createTextureDataFromLayoutBindTensor(t,e,a,o){return this.createTextureData(t,e,a,o,1)}createTextureData(t,e,a,o,i){tt.verbose("InferenceHandler",`Creating TextureData: layout:[${JSON.stringify(t)}]`);let d=this.session.textureManager.createTextureFromLayout(e,t,a,i);return this.createTextureDataFromTexture(t,e,d,o)}reshapeUnpacked(t,e){let a=this.getOrCreateTextureData(t,0),o={channels:a.channels,height:a.height,width:a.width,shape:e.length!==0?e:[1],strides:B.computeStrides(e),unpackedShape:e};return this.createTextureDataFromTexture(o,t.type,a.texture).tensor}reshapePacked(t,e){let a=this.getOrCreateTextureData(t,2);if(rl(t.dims,e)){let s={channels:a.channels,height:a.height,width:a.width,shape:e.length!==0?e:[1],strides:B.computeStrides(e),unpackedShape:e,isPacked:!0};return this.createTextureDataFromTexture(s,t.type,a.texture).tensor}let o=fi(t.dims),i=fi(e),d=this.reshapePacked(t,o),n=this.run(el(this,d,i),[d]);return this.reshapePacked(n,e)}cast(t,e){let a=this.getOrCreateTextureData(t,0);return this.createTextureDataFromTexture(a,e,a.texture).tensor}createTextureDataFromTexture(t,e,a,o,i){let d={...t,tensor:o||new bt(t.unpackedShape,e,n=>this.readTexture(d),async n=>this.readTextureAsync(d),void 0,i),texture:a};return this.setTextureData(d.tensor.dataId,d,t.isPacked),d}getTextureData(t,e=!1){return this.session.isInitializer(t)?this.session.getTextureData(t,e):e?this.packedTextureDataCache.get(t):this.unpackedTextureDataCache.get(t)}setTextureData(t,e,a=!1){this.session.isInitializer(t)?this.session.setTextureData(t,e,a):(a?this.packedTextureDataCache:this.unpackedTextureDataCache).set(t,e)}isTextureLayoutCached(t,e=!1){return!!this.getTextureData(t.dataId,e)}dispose(){this.session.textureManager.clearActiveTextures(),this.packedTextureDataCache.forEach(t=>this.session.textureManager.releaseTexture(t)),this.packedTextureDataCache=new Map,this.unpackedTextureDataCache.forEach(t=>this.session.textureManager.releaseTexture(t)),this.unpackedTextureDataCache=new Map}readTexture(t){return t.isPacked?this.readTexture(this.unpack(t)):this.session.backend.glContext.isFloat32DownloadSupported?this.session.textureManager.readTexture(t,t.tensor.type,t.channels):this.session.textureManager.readUint8TextureAsFloat(ci(this,t))}async readTextureAsync(t){return t.isPacked?this.readTextureAsync(this.unpack(t)):this.session.backend.glContext.isFloat32DownloadSupported?this.session.textureManager.readTextureAsync(t,t.tensor.type,t.channels):this.session.textureManager.readUint8TextureAsFloat(ci(this,t))}pack(t){return this.executeProgram(Qu(this,t.tensor),[t.tensor])}unpack(t){return this.executeProgram(al(this,t.tensor),[t.tensor])}}}),di,W,It=O(()=>{di=class{constructor(t){Object.assign(this,t)}get cacheKey(){return this.key||(this.key=Object.getOwnPropertyNames(this).sort().map(t=>`${this[t]}`).join(";")),this.key}},W=t=>new di(t)}),pl,dl,hl,Lh,$h,ml=O(()=>{It(),ut(),j(),pl={name:"BatchNormalization",inputNames:["A","Scale","B","Mean","Variance"],inputTypes:[0,0,0,0,0]},dl=(t,e,a)=>($h(e),[t.run({...pl,cacheHint:a.cacheKey,get:()=>Lh(t,e,a)},e)]),hl=t=>{let e=t.attributes.getFloat("epsilon",1e-5),a=t.attributes.getFloat("momentum",.9),o=t.attributes.getInt("spatial",1);return W({epsilon:e,momentum:a,spatial:o})},Lh=(t,e,a)=>{let o=G(t.session.backend.glContext.version),i=e[0].dims.length,[d,n]=t.calculateTextureWidthAndHeight(e[1].dims,0),s=`
+  float process(int[${i}] indices) {
+    vec2 position = offsetToCoords(indices[1], ${d}, ${n});
+    float scale = getColorAsFloat(${o.texture2D}(Scale, position));
+    float mean = getColorAsFloat(${o.texture2D}(Mean, position));
+    float variance = getColorAsFloat(${o.texture2D}(Variance, position));
+    float b = getColorAsFloat(${o.texture2D}(B, position));
+
+    return scale * ( (_A(indices) - mean) / sqrt(variance + float(${a.epsilon})) ) + b;
+  }`;return{...pl,output:{dims:e[0].dims,type:e[0].type,textureType:0},shaderSource:s}},$h=t=>{if(!t||t.length!==5)throw new Error("BatchNormalization requires 5 inputs.");let e=t[0],a=t[1],o=t[2],i=t[3],d=t[4];if(e.dims.length<3||a.dims.length!==1||o.dims.length!==1||i.dims.length!==1||d.dims.length!==1)throw new Error("invalid input shape.");if(a.dims[0]!==e.dims[1]||o.dims[0]!==e.dims[1]||i.dims[0]!==e.dims[1]||d.dims[0]!==e.dims[1])throw new Error("invalid input shape.");if(e.type!=="float32"&&e.type!=="float64"||a.type!=="float32"&&a.type!=="float64"||o.type!=="float32"&&o.type!=="float64"||i.type!=="float32"&&i.type!=="float64"||d.type!=="float32"&&d.type!=="float64")throw new Error("invalid input tensor types.")}}),Ln,Ht,k,Nr,$n,Te=O(()=>{Ln=class{constructor(t,e,a,o){this.glContext=t,this.programInfo=e,this.inputTextureLayouts=a,this.outputTextureLayout=o}},Ht=class{constructor(t){this.context=t}},k=class{constructor(t,e){this.routineBody=t,this.dependencies=e}},Nr=class{constructor(t,e,a){this.name=t,a?this.dependencies=a:this.dependencies=[],e&&(this.routineBody=e)}addDependency(t){t&&this.dependencies.push(t)}},$n=class{static returnOrderedNodes(t){if(!t||t.length===0)return[];if(t.length===1)return t;let e=new Set,a=new Set,o=new Array;return this.createOrderedNodes(t,e,a,o),o}static createOrderedNodes(t,e,a,o){for(let i=0;i<t.length;++i)this.dfsTraverse(t[i],e,a,o)}static dfsTraverse(t,e,a,o){if(!t||a.has(t.name))return;if(e.has(t.name))throw new Error("Cyclic dependency detected. Can't topologically sort routines needed for shader.");e.add(t.name);let i=t.dependencies;if(i&&i.length>0)for(let d=0;d<i.length;++d)this.dfsTraverse(i[d],e,a,o);o.push(t),a.add(t.name),e.delete(t.name)}}});function Bh(){let t="add_";return{body:`
+  float ${t}(float a, float b) {
+    return a + b;
+  }
+  vec4 ${t}(vec4 v1, vec4 v2) {
+    return v1 + v2;
+  }
+  `,name:t,type:0}}function Fh(){let t="div_";return{body:`
+  float ${t}(float a, float b) {
+    return a / b;
+  }
+  vec4 ${t}(vec4 v1, vec4 v2) {
+    return v1 / v2;
+  }
+  `,name:t,type:0}}function Ch(){let t="mul_";return{body:`
+  float ${t}(float a, float b) {
+    return a * b;
+  }
+  vec4 ${t}(vec4 v1, vec4 v2) {
+    return v1 * v2;
+  }
+  `,name:t,type:0}}function Nh(){let t="sub_";return{body:`
+  float ${t}(float a, float b) {
+    return a - b;
+  }
+  vec4 ${t}(vec4 v1, vec4 v2) {
+    return v1 - v2;
+  }
+  `,name:t,type:0}}function Rh(){let t="equal_";return{body:`
+  float ${t}(float a, float b) {
+    return float(a == b);
+  }
+  vec4 ${t}(vec4 v1, vec4 v2) {
+    return vec4(equal(v1, v2));
+  }
+  `,name:t,type:0}}function Gh(){let t="greater_";return{body:`
+  float ${t}(float a, float b) {
+    return float(a > b);
+  }
+  vec4 ${t}(vec4 v1, vec4 v2) {
+    return vec4( v1.r > v2.r ,
+      v1.g > v2.g,
+      v1.b > v2.b,
+      v1.a > v2.a );
+  }
+  `,name:t,type:0}}function Mh(){let t="less_";return{body:`
+  float ${t}(float a, float b) {
+    return float(a < b);
+  }
+  vec4 ${t}(vec4 v1, vec4 v2) {
+    return vec4( v1.r < v2.r ,
+                v1.g < v2.g,
+                v1.b < v2.b,
+                v1.a < v2.a );
+  }
+  `,name:t,type:0}}function Uh(){let t="and_";return{body:`
+  float ${t}(float a, float b) {
+    return float( bool(a) && bool(b) );
+  }
+  vec4 ${t}(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:t,type:0}}function Vh(){let t="or_";return{body:`
+  float ${t}(float a, float b) {
+    return float( bool(a) || bool(b) );
+  }
+  vec4 ${t}(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:t,type:0}}function zh(){let t="xor_";return{body:`
+  float ${t}(float a, float b) {
+    return float( bool(a) ^^ bool(b) );
+  }
+  vec4 ${t}(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:t,type:0}}function Wh(){return qh("pow")}function Hh(){let t="prelu_";return{body:`
+  float ${t}(float a, float b) {
+    return a < 0.0 ? a * b: a;
+  }
+  vec4 ${t}(vec4 v1, vec4 v2) {
+    return vec4(
+      v1.r < 0.0 ? v1.r * v2.r: v1.r,
+      v1.g < 0.0 ? v1.g * v2.g: v1.g,
+      v1.b < 0.0 ? v1.b * v2.b: v1.b,
+      v1.a < 0.0 ? v1.a * v2.a: v1.a
+      );
+  }
+  `,name:t,type:0}}function qh(t){let e=`${t}_`;return{body:`
+  float ${e}(float a, float b) {
+    return ${t}(a, b);
+  }
+  vec4 ${e}(vec4 v1, vec4 v2) {
+    return ${t}(v1, v2);
+  }
+  `,name:e,type:0}}var qt,jh,bl,gl,yl,xl,Tl,wl,vl,Il,_l,Ol,Sl,Al,Pl=O(()=>{Y(),Te(),ut(),j(),qt=(t,e,a,o=e[0].type,i)=>{let d=t.session.pack?2:0;return{name:a.name,inputNames:["A","B"],inputTypes:[d,d],cacheHint:i,get:()=>jh(t,e,a,o)}},jh=(t,e,a,o=e[0].type)=>{let i=t.session.pack?2:0,d=!B.areEqual(e[0].dims,e[1].dims),n=e[0].dims,s=t.session.pack;if(d){let A=kt.calcShape(e[0].dims,e[1].dims,!1);if(!A)throw new Error("Can't perform binary op on the given tensors");n=A;let l=n.length,p=e[0].dims.length!==0?e[0].dims.length:1,C=e[1].dims.length!==0?e[1].dims.length:1,K=e[0].dims.length!==0?"bcastIndices_A(indices, aindices);":"aindices[0] = 0;",c=e[1].dims.length!==0?"bcastIndices_B(indices, bindices);":"bindices[0] = 0;",m=G(t.session.backend.glContext.version),X=s?`
+      ${a.body}
+      void main() {
+        vec4 a = getAAtOutCoords();
+        vec4 b = getBAtOutCoords();
+        vec4 result = ${a.name}(a, b);
+        ${m.output} = result;
+      }`:`
+      ${a.body}
+      float process(int indices[${l}]) {
+        int aindices[${p}];
+        int bindices[${C}];
+        ${K}
+        ${c}
+        return ${a.name}(_A(aindices), _B(bindices));
+      }`;return{name:a.name,inputNames:["A","B"],inputTypes:[i,i],output:{dims:n,type:o,textureType:i},shaderSource:X,hasMain:s}}let g=G(t.session.backend.glContext.version),r=`
+    ${a.body}
+    void main() {
+      vec4 v1 = ${g.texture2D}(A, TexCoords);
+      vec4 v2 = ${g.texture2D}(B, TexCoords);
+      vec4 result = ${a.name}(v1, v2);
+      ${g.output} = result;
+    }
+    `;return{name:a.name,inputNames:["A","B"],inputTypes:[i,i],output:{dims:e[0].dims,type:o,textureType:i},shaderSource:r,hasMain:!0}},bl=(t,e)=>[t.run(qt(t,e,Bh()),e)],gl=(t,e)=>[t.run(qt(t,e,Uh(),"bool"),e)],yl=(t,e)=>[t.run(qt(t,e,Fh()),e)],xl=(t,e)=>[t.run(qt(t,e,Rh(),"bool"),e)],Tl=(t,e)=>[t.run(qt(t,e,Gh(),"bool"),e)],wl=(t,e)=>[t.run(qt(t,e,Mh(),"bool"),e)],vl=(t,e)=>[t.run(qt(t,e,Ch()),e)],Il=(t,e)=>[t.run(qt(t,e,Vh(),"bool"),e)],_l=(t,e)=>[t.run(qt(t,e,Wh()),e)],Ol=(t,e)=>[t.run(qt(t,e,Hh()),e)],Sl=(t,e)=>[t.run(qt(t,e,Nh()),e)],Al=(t,e)=>[t.run(qt(t,e,zh(),"bool"),e)]}),El,Dl,Kh,Ll=O(()=>{Y(),El=(t,e,a)=>(Kh(e),[t.cast(e[0],a)]),Dl=t=>At.tensorDataTypeFromProto(t.attributes.getInt("to")),Kh=t=>{if(!t||t.length!==1)throw new Error("Cast requires 1 input.");if(t[0].type==="string")throw new Error("Invalid input type.")}}),Jh,Yh,$l,kn,kl=O(()=>{ut(),j(),pe(),He(),Jh=(t,e)=>({name:"Concat (packed)",inputNames:Array.from({length:t},(a,o)=>`X${o}`),inputTypes:Array(t).fill(2),cacheHint:e}),Yh=(t,e,a,o)=>{let i=a[0].dims.slice();if(o>=i.length||o<-1*i.length)throw new Error("axis specified for concat doesn't match input dimensionality");o<0&&(o=i.length+o);let d=i.slice(0);for(let f=1;f<a.length;f++){let it=a[f].dims.slice();for(let at=0;at<i.length;at++)if(at===o)d[o]+=it[at];else if(i[at]!==it[at])throw new Error("non concat dimensions must match")}let n=d.length,s=cr("coords",n),g=Bt(n),r=de(),A=a.map(f=>f.dims),l=ne(n),p=new Array(A.length-1);p[0]=A[0][o];for(let f=1;f<p.length;f++)p[f]=p[f-1]+A[f][o];let C=l[o],K=l.slice(-2),c=l.join(),m=`if (${C} < ${p[0]}) {
+        return getChannel(
+            getX0(${c}), vec2(${K.join()}));
+        }`;for(let f=1;f<p.length;f++){let it=p[f-1];m+=`
+            if (${C} < ${p[f]}  && ${C} >= ${p[f-1]}) {
+              return getChannel(
+                getX${f}(${kn(l,C,it)}),
+                vec2(${kn(K,C,it)}));
+            }`}let X=p.length,h=p[p.length-1];m+=`
+            return getChannel(
+              getX${X}(${kn(l,C,h)}),
+              vec2(${kn(K,C,h)}));`;let E=G(t.session.backend.glContext.version),y=`
+          ${r}
+          float getValue(${l.map(f=>"int "+f)}) {
+            ${m}
+          }
+
+          void main() {
+            ${g} coords = getOutputCoords();
+            int lastDim = coords.${l[n-1]};
+            coords.${l[n-1]} = coords.${l[n-2]};
+            coords.${l[n-2]} = lastDim;
+
+            vec4 result = vec4(getValue(${s}), 0., 0., 0.);
+
+            ${s[n-1]} = ${s[n-1]} + 1;
+            if (${s[n-1]} < ${d[n-1]}) {
+              result.g = getValue(${s});
+            }
+
+            ${s[n-2]} = ${s[n-2]} + 1;
+            if (${s[n-2]} < ${d[n-2]}) {
+              result.a = getValue(${s});
+            }
+
+            ${s[n-1]} = ${s[n-1]} - 1;
+            if (${s[n-2]} < ${d[n-2]} &&
+                ${s[n-1]} < ${d[n-1]}) {
+              result.b = getValue(${s});
+            }
+            ${E.output} = result;
+          }
+        `;return{...e,output:{dims:d,type:a[0].type,textureType:2},shaderSource:y,hasMain:!0}},$l=(t,e,a)=>{let o=Jh(e.length,a.cacheKey);return{...o,get:()=>Yh(t,o,e,a.axis)}},kn=(t,e,a)=>{let o=t.indexOf(e);return t.map((i,d)=>d===o?`${i} - ${a}`:i).join()}}),Bl,Zh,Qh,tm,Fl,em,rm,nm,Cl,om,Nl=O(()=>{It(),j(),kl(),Bl=(t,e,a)=>(om(e),t.session.pack&&e[0].dims.length>1?[t.run($l(t,e,a),e)]:[t.run(tm(t,e,a),e)]),Zh=(t,e)=>({name:"Concat",inputNames:Array.from({length:t},(a,o)=>`X${o}`),inputTypes:Array(t).fill(0),cacheHint:e}),Qh=(t,e,a,o)=>{let i=a[0].dims.slice();if(o>=i.length||o<-1*i.length)throw new Error("axis specified for concat doesn't match input dimensionality");o<0&&(o=i.length+o);let d=i.slice(0);for(let C=1;C<a.length;C++){let K=a[C].dims.slice();for(let c=0;c<i.length;c++)if(c===o)d[o]+=K[c];else if(i[c]!==K[c])throw new Error("non concat dimensions must match")}let n=d.length,s=new Array(a.length),g=0;for(let C=0;C<s.length;++C)g+=a[C].dims[o],s[C]=g;let r="";a.length<5?r=Fl(s):r=em(s);let A=rm(a.length,n),l=nm(s),p=`
+        ${A}
+        ${l}
+        ${r}
+        float process(int indices[${n}]) {
+          int textureIndex = getTextureWhereDataResides (indices[${o}]);
+
+          if(textureIndex != 0) {
+            indices[${o}] = indices[${o}] - int(getSizeInConcatAxisValueFromIndex(textureIndex-int(1)));
+          }
+
+          return fetchDataFromCorrectTexture(textureIndex, indices);
+        }`;return{...e,output:{dims:d,type:a[0].type,textureType:0},shaderSource:p}},tm=(t,e,a)=>{let o=Zh(e.length,a.cacheKey);return{...o,get:()=>Qh(t,o,e,a.axis)}},Fl=t=>`int getTextureWhereDataResides(int index) {
+      ${t.map((e,a)=>`if(index<${e}) {return ${a};}
+`).join("")}
+    }`,em=t=>Fl(t),rm=(t,e)=>{let a=[`float fetchDataFromCorrectTexture(int textureIndex, int indices[${e}]) {`];for(let o=0;o<t;++o)o===0?a.push(`	if (textureIndex == ${o}) { return _X${o}(indices); }`):o===t-1?a.push(`	else { return _X${o}(indices); }`):a.push(`	else if (textureIndex == ${o}) { return _X${o}(indices); }`);return a.push("	}"),a.join(`
+`)},nm=t=>{let e=["int getSizeInConcatAxisValueFromIndex(int index) {"];for(let a=0;a<t.length;++a)a===0?e.push(`	if (index == ${a}) { return ${t[a]}; }`):a===t.length-1?e.push(`	else { return ${t[a]}; }`):e.push(`	else if (index == ${a}) { return ${t[a]}; }`);return e.push("	}"),e.join(`
+`)},Cl=t=>W({axis:t.attributes.getInt("axis")}),om=t=>{if(!t||t.length<1)throw new Error("too few inputs");let e=t[0].type,a=t[0].dims.length;if(e==="string")throw new Error("string tensor is not supported yet");for(let o of t){if(o.type!==e)throw new Error("input tensors should be one type");if(o.dims.length!==a)throw new Error("input tensors should have the same shape")}}});function im(){return jt("abs")}function am(){return jt("acos")}function sm(){return jt("asin")}function um(){return jt("atan")}function lm(){return jt("ceil")}function fm(){return jt("cos")}function cm(t){let e="elu";return{body:`
+  const float alpha = float(${t});
+
+  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), ${e}_(v.w));
+  }
+  `,name:e,type:0}}function pm(){return jt("exp")}function dm(){return jt("floor")}function hi(t,e){let a="clip";return{body:`
+  const float min = float(${t});
+  const float max = float(${e});
+
+  float ${a}_(float a) {
+    return clamp(a, min, max);
+  }
+  vec4 ${a}_(vec4 v) {
+    return clamp(v, min, max);
+  }
+  `,name:a,type:0}}function hm(){let t="indentity";return{body:`
+  float ${t}_(float a) {
+    return a;
+  }
+  vec4 ${t}_(vec4 v) {
+    return v;
+  }
+  `,name:t,type:0}}function mm(t){let e="leakyRelu";return{body:`
+  const float alpha = float(${t});
+
+  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 bm(){return jt("log")}function gm(){let t="neg";return{body:`
+  float ${t}_(float a) {
+    return -a;
+  }
+  vec4 ${t}_(vec4 v) {
+    return -v;
+  }
+  `,name:t,type:0}}function ym(){let t="not";return{body:`
+  float ${t}_(float a) {
+    return float( ! bool(a) );
+  }
+  bool ${t}_(bool a) {
+    return !a;
+  }
+  vec4 ${t}_(vec4 v) {
+    return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w));
+  }
+  bvec4 ${t}_(bvec4 v) {
+    return bvec4(!v.x, !v.y, !v.z, !v.w);
+  }
+  `,name:t,type:0}}function xm(){return jt("sin")}function mi(){let t="relu";return{body:`
+  float ${t}_(float a) {
+    return max( a, 0.0 );
+  }
+  vec4 ${t}_(vec4 v) {
+    return max( v, 0.0 );
+  }
+  `,name:t,type:0}}function bi(){let t="sigmoid";return{body:`
+  float ${t}_(float a) {
+    return 1.0 / (1.0 + exp(-a));
+  }
+  vec4 ${t}_(vec4 v) {
+    return 1.0 / (1.0 + exp(-v));
+  }
+  `,name:t,type:0}}function Tm(){return jt("sqrt")}function wm(){return jt("tan")}function vm(){let t="tanh";return{body:`
+  float ${t}_(float a) {
+    a = clamp(a, -10., 10.);
+    a = exp(2.*a);
+    return (a - 1.) / (a + 1.);
+  }
+  vec4 ${t}_(vec4 v) {
+    v = clamp(v, -10., 10.);
+    v = exp(2.*v);
+    return (v - 1.) / (v + 1.);
+  }
+  `,name:t,type:0}}function jt(t){return{body:`
+  float ${t}_(float a) {
+    return ${t}(a);
+  }
+  vec4 ${t}_(vec4 v) {
+    return ${t}(v);
+  }
+  `,name:t,type:0}}var Im,dt,Rl,Gl,Ml,Ul,gi,Vl,zl,_m,Wl,Hl,ql,jl,Xl,Kl,yi,Jl,Yl,Zl,Ql,tf,ef,rf,nf,of,af,sf,xi=O(()=>{It(),Y(),Te(),ut(),j(),Im=(t,e,a,o)=>{let i=t.session.pack?2:0,d=G(t.session.backend.glContext.version);return{...e,output:{dims:a.dims,type:a.type,textureType:i},shaderSource:`
+     ${o.body}
+     void main() {
+       vec4 v = ${d.texture2D}(A, TexCoords);
+       v = ${o.name}_(v);
+       ${d.output} = v;
+     }
+     `,hasMain:!0}},dt=(t,e,a,o)=>{let i=t.session.pack?2:0,d={name:a.name,inputTypes:[i],inputNames:["A"],cacheHint:o};return{...d,get:()=>Im(t,d,e,a)}},Rl=(t,e)=>[t.run(dt(t,e[0],im()),e)],Gl=(t,e)=>[t.run(dt(t,e[0],am()),e)],Ml=(t,e)=>[t.run(dt(t,e[0],sm()),e)],Ul=(t,e)=>[t.run(dt(t,e[0],um()),e)],gi=(t,e,a)=>[t.run(dt(t,e[0],hi(a.min,a.max),a.cacheKey),e)],Vl=t=>W({min:t.attributes.getFloat("min",Ve),max:t.attributes.getFloat("max",ze)}),zl=(t,e)=>{let a=_m(t,e);return gi(t,[e[0]],a)},_m=(t,e)=>{if(e.length>=3&&(!t.session.isInitializer(e[1].dataId)||!t.session.isInitializer(e[2].dataId)))throw new Error("dynamic clip attributes are not allowed");let a=e.length>=3?e[1].numberData[0]:Ve,o=e.length>=3?e[2].numberData[0]:ze;return W({min:a,max:o})},Wl=(t,e)=>[t.run(dt(t,e[0],lm()),e)],Hl=(t,e)=>[t.run(dt(t,e[0],fm()),e)],ql=(t,e,a)=>[t.run(dt(t,e[0],cm(a.alpha),a.cacheKey),e)],jl=t=>W({alpha:t.attributes.getFloat("alpha",1)}),Xl=(t,e)=>[t.run(dt(t,e[0],pm()),e)],Kl=(t,e)=>[t.run(dt(t,e[0],dm()),e)],yi=(t,e)=>[t.run(dt(t,e[0],hm()),e)],Jl=(t,e,a)=>[t.run(dt(t,e[0],mm(a.alpha),a.cacheKey),e)],Yl=t=>W({alpha:t.attributes.getFloat("alpha",.01)}),Zl=(t,e)=>[t.run(dt(t,e[0],bm()),e)],Ql=(t,e)=>[t.run(dt(t,e[0],gm()),e)],tf=(t,e)=>[t.run(dt(t,e[0],ym()),e)],ef=(t,e)=>[t.run(dt(t,e[0],mi()),e)],rf=(t,e)=>[t.run(dt(t,e[0],bi()),e)],nf=(t,e)=>[t.run(dt(t,e[0],xm()),e)],of=(t,e)=>[t.run(dt(t,e[0],Tm()),e)],af=(t,e)=>[t.run(dt(t,e[0],wm()),e)],sf=(t,e)=>[t.run(dt(t,e[0],vm()),e)]});function he(t){let e;switch(t.activation){case"Relu":e=mi();break;case"Sigmoid":e=bi();break;case"Clip":e=hi(t.clipMin,t.clipMax);break;default:return{activationFunction:"",applyActivation:""}}let a=e.name,o=e.body,i=`value = ${a}_(value);`;return{activationFunction:o,applyActivation:i}}var pr,qe=O(()=>{Y(),xi(),pr=t=>{let e=t.getString("activation","");if(e==="Clip"){let[a,o]=t.getFloats("activation_params",[Ve,ze]);return{activation:e,clipMax:o,clipMin:a,activationCacheKey:`${e}:${a},${o}`}}return{activation:e,activationCacheKey:e}}}),Sm,Am,uf,lf=O(()=>{Ut(),ut(),j(),Bn(),qe(),Sm=(t,e)=>({name:"GroupedConv",inputNames:t?["X","W","Bias"]:["X","W"],inputTypes:t?[0,0,0]:[0,0],cacheHint:e}),Am=(t,e,a,o)=>{let i=e.length>2?"value += getBias(output_channel);":"",d=e[0].dims.slice(),n=e[1].dims.slice(),s=n[0]/o.group;tt.verbose("GroupedConv",`autpPad:${o.autoPad}, dilations:${o.dilations}, group:${o.group}, kernelShape:${o.kernelShape}, pads:${o.pads}, strides:${o.strides}`);let g=dr(d,n,o.dilations,o.pads,o.strides),r=G(t.session.backend.glContext.version),{activationFunction:A,applyActivation:l}=he(o),p=`
+  const ivec2 strides = ivec2(${o.strides[0]}, ${o.strides[1]});
+  const ivec2 pads = ivec2(${o.pads[0]}, ${o.pads[1]});
+  ${A}
+  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 / ${s};
+
+    float value = 0.0;
+    for (int wInChannel = 0; wInChannel < ${n[1]}; wInChannel++) {
+      int input_channel = group_id * ${n[1]} + wInChannel;
+      for (int wHeight = 0; wHeight < ${n[2]}; wHeight++) {
+        int xHeight = xRCCorner.x + wHeight * ${o.dilations[0]};
+
+        if (xHeight < 0 || xHeight >= ${d[2]}) {
+          continue;
+        }
+
+        for (int wWidth = 0; wWidth < ${n[3]}; wWidth++) {
+          int xWidth = xRCCorner.y + wWidth * ${o.dilations[1]};
+          if (xWidth < 0 || xWidth >= ${d[3]}) {
+            continue;
+          }
+
+          float xVal = getX(batch, input_channel, xWidth, xHeight);
+          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);
+          value += xVal*wVal;
+        }
+      }
+    }
+    ${i}
+    ${l}
+    ${r.output} = vec4(value, .0, .0, .0);
+  }
+`;return{...a,output:{dims:g,type:e[0].type,textureType:0},shaderSource:p,hasMain:!0}},uf=(t,e,a)=>{let o=Sm(e.length>2,a.cacheKey);return{...o,get:()=>Am(t,e,o,a)}}}),Pm,Em,ff,cf=O(()=>{ut(),j(),He(),Pm=t=>({name:"Im2Col (packed)",inputNames:["A"],inputTypes:[2],cacheHint:t}),Em=(t,e,a,o,i,d)=>{let n=a.dims,s=o.dims,g=2,r=3,A=i.length,l=[s[1]*s[2]*s[3],i[2]*i[3]],p=s[2]*s[3],C=de(),K=G(t.session.backend.glContext.version),c="";for(let X=0;X<=1;X++)for(let h=0;h<=1;h++)c+=`
+            blockIndex = rc.x + ${h};
+            pos = rc.y + ${X};
+
+            if(blockIndex < ${l[1]} && pos < ${l[0]}) {
+              offsetY = int(blockIndex / (${i[A-1]})) * ${d.strides[0]} -
+                ${d.pads[0]};
+              d0 = offsetY + ${d.dilations[0]} * (imod(pos, ${p}) / ${s[2]});
+
+              if(d0 < ${n[g]} && d0 >= 0) {
+                offsetX = imod(blockIndex, ${i[A-1]}) * ${d.strides[1]} -
+                  ${d.pads[1]};
+                d1 = offsetX + ${d.dilations[1]} * imod(imod(pos, ${p}), ${s[2]});
+
+                if(d1 < ${n[r]} && d1 >= 0) {
+
+                  ch = int(float(pos)/ ${p}.);
+                    innerDims = vec2(d0, d1);
+                    result[${X*2+h}] = getChannel(
+                      getA(0, ch, int(innerDims.x),
+                      int(innerDims.y)), innerDims);
+                }
+              }
+            }
+
+          `;let m=`
+      ${C}
+
+      void main() {
+        ivec2 rc = getOutputCoords();
+          vec4 result = vec4(0.0);
+          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
+          vec2 innerDims;
+          ${c}
+          ${K.output} = result;
+      }
+            `;return{...e,output:{dims:l,type:a.type,textureType:2},shaderSource:m,hasMain:!0}},ff=(t,e,a,o,i)=>{let d=Pm(i.cacheKey);return{...d,get:()=>Em(t,d,e,a,o,i)}}});function Lm(t,e,a){let o=e[0].dims,i=e[1].dims,d=kt.calcShape(o,i,!0);if(!d)throw new Error("Can't use matmul on the given tensors");let n=Bt(d.length),s=ne(),{activationFunction:g,applyActivation:r}=he(a),A=e.length>2,l=A?"value += getBiasForMatmul();":"",p=A?`${wi(n,s,e[2].dims,d,!1)}`:"",C=d.length,K=o.length,c=i.length,m=o[o.length-1],X=`
+    ${g}
+    ${p}
+    float process(int indices[${C}]) {
+        int a[${K}];
+        int b[${c}];
+        bcastMatmulIndices_A(indices, a);
+        bcastMatmulIndices_B(indices, b);
+
+        float value;
+        for (int k=0; k<${m}; ++k) {
+            a[${K-1}] = k;
+            b[${c-2}] = k;
+            value += _A(a) * _B(b);
+        }
+        ${l}
+        ${r}
+        return value;
+    }`;return{...t,output:{dims:d,type:e[0].type,textureType:0},shaderSource:X}}function Ti(t,e){let a=Dm(t.length>2,e.activationCacheKey);return{...a,get:()=>Lm(a,t,e)}}function wi(t,e,a,o,i){let d="",n=a.length,s=o.length,g=s-n;s<2&&n>0?d="coords":d=a.map((p,C)=>`coords.${e[C+g]}`).join(", ");let r=kt.getBroadcastDims(a,o).map(p=>`coords.${e[p+g]} = 0;`).join(`
+`),A=B.size(a)===1,l="vec4(outputValue.xx, outputValue.yy)";return A&&(l="vec4(outputValue.x)"),i?`
+vec4 getBiasForMatmul() {
+  ${t} coords = getOutputCoords();
+  ${r}
+  vec4 outputValue = getBias(${d});
+  return ${l};
+}`:`
+float getBiasForMatmul() {
+  ${t} coords = getOutputCoords();
+  ${r}
+  return getBias(coords.x);
+}`}var pf,df,Dm,$m,Fn=O(()=>{Y(),j(),pe(),qe(),vi(),pf=(t,e,a)=>($m(e),t.session.pack?[t.run(Cn(t,e,a),e)]:[t.run(Ti(e,a),e)]),df=t=>pr(t.attributes),Dm=(t,e)=>({name:"MatMul",inputNames:t?["A","B","Bias"]:["A","B"],inputTypes:t?[0,0,0]:[0,0],cacheHint:e}),$m=t=>{if(!t||t.length!==2)throw new Error("MatMul requires 2 inputs.");if(t[0].dims[t[0].dims.length-1]!==t[1].dims[t[1].dims.length-2])throw new Error("shared dimension does not match.");if(t[0].type!=="float32"&&t[0].type!=="float64"||t[1].type!=="float32"&&t[1].type!=="float64")throw new Error("inputs should be float type");if(t[0].type!==t[1].type)throw new Error("inputs types should match")}});function Fm(t,e,a,o){let i=[],d=[],n=a[0].dims,s=a[1].dims,g=n.length,r=s.length,A=o.length,l=A-g,p=A-r;i=n.map((h,E)=>`coords.${e[E+l]}`),i[g-1]="i*2",i.join(", "),d=s.map((h,E)=>`coords.${e[E+p]}`),d[r-2]="i*2",d.join(", ");let C=kt.getBroadcastDims(n,o),K=kt.getBroadcastDims(s,o),c=C.map(h=>`coords.${e[h+l]} = 0;`).join(`
+`),m=K.map(h=>`coords.${e[h+p]} = 0;`).join(`
+`),X=`int lastDim = coords.${e[A-1]};
+  coords.${e[A-1]} = coords.${e[A-2]};
+  coords.${e[A-2]} = lastDim;`;return`
+vec4 getAAtOutCoordsMatmul(int i) {
+  ${t} coords = getOutputCoords();
+  ${X}
+  ${c}
+  vec4 outputValue = getA(${i});
+  return outputValue;
+}
+
+vec4 getBAtOutCoordsMatmul(int i) {
+  ${t} coords = getOutputCoords();
+  ${X}
+  ${m}
+  vec4 outputValue = getB(${d});
+  return outputValue;
+}`}function Cm(t,e){let a="";for(let o=0;o<e-2;o++)a+=`rc.${t[o]}, `;return a+=`rc.${t[e-2]}, i*2`,a}function Nm(t,e){let a="";for(let o=0;o<e-2;o++)a+=`rc.${t[o]}, `;return a+=`i*2, rc.${t[e-1]}`,a}var km,Bm,Cn,vi=O(()=>{Y(),ut(),j(),pe(),qe(),Fn(),km=(t,e)=>({name:"MatMul (packed)",inputNames:t?["A","B","Bias"]:["A","B"],inputTypes:t?[2,2,2]:[2,2],cacheHint:e}),Bm=(t,e,a,o)=>{let i=a.length>2,d=i?"value += getBiasForMatmul();":"",n=a[0].dims,s=a[1].dims,g=kt.calcShape(n,s,!0),r=!B.areEqual(a[0].dims,a[1].dims);if(!g)throw new Error("Can't use matmul on the given tensors");let A=n[n.length-1],l=Math.ceil(A/2),p=n.length,C=s.length,K=G(t.session.backend.glContext.version),c=Bt(g.length),m=g.length,X=ne(),{activationFunction:h,applyActivation:E}=he(o),y=i?`${wi(c,X,a[2].dims,g,!0)}`:"",f=r?`${Fm(c,X,a,g)}`:"",it=r?"getAAtOutCoordsMatmul(i)":`getA(${Cm(X,p)})`,at=r?"getBAtOutCoordsMatmul(i)":`getB(${Nm(X,C)})`,ft=r?"":`${c} rc =
+          getOutputCoords(); int lastDim = rc.${X[m-1]}; rc.${X[m-1]} =
+          rc.${X[m-2]}; rc.${X[m-2]} = lastDim;
+      `,x=`
+            ${f}
+            ${y}
+            ${h}
+            void main() {
+              ${ft}
+
+              vec4 value = vec4(0);
+              for (int i = 0; i < ${l}; i++) {
+                vec4 a = ${it};
+                vec4 b = ${at};
+
+                value += (a.rrbb * b.rgrg);
+                value += (a.ggaa * b.baba);
+              }
+              ${d}
+              ${E}
+              ${K.output} = value;
+            }`;return{...e,output:{dims:g,type:a[0].type,textureType:2},shaderSource:x,hasMain:!0}},Cn=(t,e,a)=>{let o=km(e.length>2,a.activationCacheKey);return{...o,get:()=>Bm(t,o,e,a)}}}),hf,mf=O(()=>{Bn(),cf(),vi(),hf=(t,e,a)=>{let o=e[0].dims,i=e[1].dims,d=dr(o,i,a.dilations,a.pads,a.strides),n=t.run(ff(t,e[0],e[1],d,a),[e[0]]),s=t.reshapePacked(e[1],[i[0],i[1]*i[2]*i[3]]),g=e.length===3?[s,n,e[2]]:[s,n],r=t.run(Cn(t,g,a),g);return t.reshapePacked(r,d)}}),Rm,Gm,bf,Ii,_i=O(()=>{j(),Rm=t=>({name:"Im2Col",inputNames:["X"],inputTypes:[0],cacheHint:t}),Gm=(t,e,a,o,i,d)=>{let n=a.dims,s=o.dims,g=i.length,r=Ii(n,s,i,4),A=`
+        const int XC = ${n[1]};
+        const int XH = ${n[2]};
+        const int XW = ${n[3]};
+        const int KH = ${d.kernelShape[0]};
+        const int KW = ${d.kernelShape[1]};
+        const int dilationH = ${d.dilations[0]};
+        const int dilationW = ${d.dilations[1]};
+        const int strideH = ${d.strides[0]};
+        const int strideW = ${d.strides[1]};
+        const int padH = ${d.pads[0]};
+        const int padW = ${d.pads[1]};
+        const int KHKW = KH*KW;
+        const int XCKHKW = XC * KHKW;
+        const int outputChannels = 4;
+        vec4 process(int indices[${g}]) {
+          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[${n.length}];
+              x[0] = b;
+              x[1] = patchC;
+              x[2] = xh2;
+              x[3] = xw2;
+              if(xh2 >= 0 &&
+                  xh2 < XH &&
+                  xw2 >= 0 &&
+                  xw2 < XW) {
+                value[i] = _X(x);
+              }
+            }
+            ++p;
+          }
+          return value;
+        }
+        `;return{...e,output:{dims:r,type:a.type,textureType:4},shaderSource:A}},bf=(t,e,a,o,i)=>{let d=Rm(i.cacheKey);return{...d,get:()=>Gm(t,d,e,a,o,i)}},Ii=(t,e,a,o=4)=>[a[0],a[2],a[3],Math.ceil(t[1]*e[2]*e[3]/o)]}),Mm,Um,gf,yf=O(()=>{Y(),ut(),j(),qe(),_i(),Mm=(t,e)=>({name:"ConvDotProduct",inputNames:t?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:t?[0,4,0]:[0,4],cacheKey:e.activationCacheKey}),Um=(t,e,a,o,i)=>{let d=a[0].dims,n=a[1].dims,s=[n[0],Math.ceil(d[1]*n[2]*n[3]/4)],g=Ii(d,n,o),[r,A]=t.calculateTextureWidthAndHeight(s,4),l=B.computeStrides(g),[p,C]=t.calculateTextureWidthAndHeight(g,4),K=o.length,c=a.length<3?"0.0":"_B(b)",m=Math.ceil(d[1]*n[2]*n[3]/4),{activationFunction:X,applyActivation:h}=he(i),E=G(t.session.backend.glContext.version),y=`
+${X}
+float process(int indices[${K}]) {
+  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] * ${l[0]} + im2col[1] * ${l[1]} + im2col[2] * ${l[2]};
+  int kernelOffset = indices[1] * ${s[1]};
+  float value = ${c};
+  for (int i = 0; i < ${m}; ++i) {
+    vec2 im2colCoords = offsetToCoords(im2colOffset, ${p}, ${C});
+    vec2 kernelCoords = offsetToCoords(kernelOffset, ${r}, ${A});
+    value += dot(${E.texture2D}(Im2Col, im2colCoords), ${E.texture2D}(K, kernelCoords));
+    ++im2colOffset;
+    ++kernelOffset;
+  }
+  ${h}
+  return value;
+}`;return{...e,output:{dims:o,type:a[0].type,textureType:0},shaderSource:y}},gf=(t,e,a,o)=>{let i=Mm(e.length>2,o);return{...i,get:()=>Um(t,i,e,a,o)}}}),dr,Oi,Vm,zm,Wm,Hm,Si,qm,Bn=O(()=>{It(),Y(),lf(),mf(),yf(),qe(),_i(),Fn(),dr=(t,e,a,o,i)=>{let d=t[0],n=t.slice(2),s=n.length,g=e[0],r=e.slice(2).map((l,p)=>l+(l-1)*(a[p]-1)),A=n.map((l,p)=>l+o[p]+o[p+s]).map((l,p)=>Math.floor((l-r[p]+i[p])/i[p]));return[d,g].concat(...A)},Oi=(t,e,a)=>(qm(e,a),Vm(t,e,a)),Vm=(t,e,a)=>{let o=Hm(a,e),i=t.session.pack,d=o.kernelShape[0]===1&&o.kernelShape[1]===1;return o.group>1?[t.run(uf(t,e,o),e)]:d&&i?[zm(t,e,o)]:i&&e[0].dims.length===4&&e[0].dims[0]===1&&!d?[hf(t,e,o)]:[Wm(t,e,o)]},zm=(t,e,a)=>{let o=e[0].dims,i=e[1].dims,d=dr(o,i,a.dilations,a.pads,a.strides),n=t.reshapeUnpacked(e[0],[o[1],o[2]*o[3]]),s=t.reshapeUnpacked(e[1],[i[0],i[1]]),g=e.length>2?[s,n,e[2]]:[s,n],r=t.run(Ti(g,a),g);return t.reshapeUnpacked(r,d)},Wm=(t,e,a)=>{let o=e[0].dims,i=e[1].dims,d=dr(o,i,a.dilations,a.pads,a.strides),n=t.run(bf(t,e[0],e[1],d,a),[e[0]]),s=e.length===3?[n,e[1],e[2]]:[n,e[1]];return t.run(gf(t,e,d,a),s)},Hm=(t,e)=>{let a=t.kernelShape.slice();if(t.kernelShape.length===0)for(let d=2;d<e[1].dims.length;++d)a.push(e[1].dims[d]);let o=t.pads.slice();Ue.adjustPadsBasedOnAutoPad(e[0].dims,t.strides,t.dilations,a,o,t.autoPad);let i=Object.assign({},t);return Object.assign(i,{kernelShape:a,pads:o,cacheKey:t.cacheKey}),i},Si=t=>{let e=t.attributes,a=pr(e),o=e.getString("auto_pad","NOTSET"),i=e.getInts("dilations",[1,1]),d=e.getInt("group",1),n=e.getInts("kernel_shape",[]),s=e.getInts("pads",[0,0,0,0]),g=e.getInts("strides",[1,1]);return W({autoPad:o,dilations:i,group:d,kernelShape:n,pads:s,strides:g,...a})},qm=(t,e)=>{if(!t||t.length!==2&&t.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(t[0].dims.length!==4||t[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");let a=t[0].dims[1],o=t[1].dims[1]*e.group;if(a!==o)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(t.length===3&&(t[2].dims.length!==1||t[1].dims[0]!==t[2].dims[0]))throw new Error("invalid bias");let i=t[0].dims.length-2;if(e.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(e.strides.length!==i)throw new Error(`strides should be ${i}D`);if(e.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(e.kernelShape.length!==0&&e.kernelShape.length!==t[1].dims.length-2)throw new Error("invalid kernel shape");if(t[0].type!=="float32"||t[1].type!=="float32")throw new Error("Conv input(X,W) should be float tensor");if(t.length===3&&t[2].type!=="float32")throw new Error("Conv input(bias) should be float tensor")}}),jm,Xm,Km,xf,Jm,Ym,Zm,Qm,tb,eb,Tf,rb,wf=O(()=>{It(),ut(),j(),qe(),jm=(t,e,a,o,i,d)=>(t-1)*e+a+(o-1)*i+1-d,Xm=(t,e,a,o,i)=>{let d=Math.floor(t/2);e==="SAME_UPPER"?(a[o]=d,a[i]=t-d):e==="SAME_LOWER"&&(a[o]=t-d,a[i]=d)},Km=(t,e,a,o,i,d,n,s)=>{let g=t.length-2,r=s.length===0;for(let A=0;A<g;++A){let l=r?t[A+2]*d[A]:s[A],p=jm(t[A+2],d[A],i[A],e[A],a[A],l);Xm(p,o,i,A,A+g),r&&s.push(d[A]*(t[A+2]-1)+n[A]+(e[A]-1)*a[A]+1-i[A]-i[A+g])}},xf=(t,e,a)=>(rb(e,a),Jm(t,e,a)),Jm=(t,e,a)=>{let o=eb(a,e);return[tb(t,e,o)]},Ym=(t,e)=>({name:"ConvTranspose",inputNames:t?["X","W","B"]:["X","W"],inputTypes:t?[0,0,0]:[0,0],cacheHint:e}),Zm=(t,e,a,o)=>{let i=e.length>2?"getB(output_channel)":"0.0",d=e[0].dims,n=e[1].dims,s=n[1],g=n[0]/o.group,r=[e[0].dims[0],e[1].dims[1]*o.group,...o.outputShape],A=G(t.session.backend.glContext.version),{activationFunction:l,applyActivation:p}=he(o),C=`
+  const ivec2 strides = ivec2(${o.strides[0]}, ${o.strides[1]});
+  const ivec2 pads = ivec2(${o.pads[0]}, ${o.pads[1]});
+  ${l}
+  void main() {
+    ivec4 coords = getOutputCoords();
+    int batch = coords.x;
+    int output_channel = coords.y;
+
+    ivec2 loc = coords.zw + pads;
+
+    int group_id = output_channel / ${s};
+    int wOutChannel = output_channel - group_id * ${s};
+
+    float value = ${i};
+    for (int inChannelOffset = 0; inChannelOffset < ${g}; inChannelOffset++) {
+      int input_channel = group_id * ${g} + inChannelOffset;
+      for (int wWOff = 0; wWOff < ${n[2]}; wWOff++) {
+        for (int wHOff = 0; wHOff < ${n[3]}; wHOff++) {
+          ivec2 wOff = ivec2(wWOff * ${o.dilations[0]}, wHOff * ${o.dilations[1]});
+          ivec2 wLoc = loc - wOff;
+          ivec2 wLocIn = wLoc / strides;
+          if (
+            wLocIn * strides == wLoc &&
+            wLocIn.x >= 0 && wLocIn.x < ${d[2]} &&
+            wLocIn.y >= 0 && wLocIn.y < ${d[3]}
+          ) {
+            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);
+            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);
+            value += xVal * wVal;
+          }
+        }
+      }
+    }
+    ${p}
+    ${A.output} = vec4(value, .0, .0, .0);
+  }
+`;return{...a,output:{dims:r,type:e[0].type,textureType:0},shaderSource:C,hasMain:!0}},Qm=(t,e,a)=>{let o=Ym(e.length>2,a.cacheKey);return{...o,get:()=>Zm(t,e,o,a)}},tb=(t,e,a)=>t.run(Qm(t,e,a),e),eb=(t,e)=>{let a=t.kernelShape.slice();if(t.kernelShape.length===0)for(let s=2;s<e[1].dims.length;++s)a.push(e[1].dims[s]);let o=t.pads.slice(),i=t.outputShape.slice(),d=e[0].dims;Km(d,a,t.dilations,t.autoPad,o,t.strides,t.outputPadding,i);let n=Object.assign({},t);return Object.assign(n,{kernelShape:a,pads:o,outputShape:i,cacheKey:t.cacheKey}),n},Tf=t=>{let e=t.attributes,a=pr(e),o=e.getString("auto_pad","NOTSET"),i=e.getInts("dilations",[1,1]),d=e.getInt("group",1),n=e.getInts("kernel_shape",[]),s=e.getInts("output_padding",[0,0]),g=e.getInts("output_shape",[]),r=e.getInts("pads",[0,0,0,0]),A=e.getInts("strides",[1,1]);return W({autoPad:o,dilations:i,group:d,kernelShape:n,outputPadding:s,outputShape:g,pads:r,strides:A,...a})},rb=(t,e)=>{if(!t||t.length!==2&&t.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(t[0].dims.length!==4||t[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");let a=t[0].dims[1],o=t[1].dims[0];if(a!==o)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let i=t[1].dims[1]*e.group;if(t.length===3&&(t[2].dims.length!==1||t[2].dims[0]!==i))throw new Error("invalid bias");let d=t[0].dims.length-2;if(e.dilations.length!==d)throw new Error(`dilations should be ${d}D`);if(e.strides.length!==d)throw new Error(`strides should be ${d}D`);if(e.pads.length!==d*2)throw new Error(`pads should be ${d*2}D`);if(e.outputPadding.length!==d)throw new Error(`output_padding should be ${d}D`);if(e.kernelShape.length!==0&&e.kernelShape.length!==t[1].dims.length-2)throw new Error("invalid kernel shape");if(e.outputShape.length!==0&&e.outputShape.length!==t[0].dims.length-2)throw new Error("invalid output shape");if(t[0].type!=="float32"||t[1].type!=="float32")throw new Error("ConvTranspose input(X,W) should be float tensor");if(t.length===3&&t[2].type!=="float32")throw new Error("ConvTranspose input(bias) should be float tensor")}}),vf,je,If,nb,_f,ob,ib,ab,Nn=O(()=>{It(),Y(),j(),vf={name:"Transpose",inputNames:["A"],inputTypes:[0]},je=(t,e,a)=>(ab(e),[t.run({...vf,cacheHint:a.cacheKey,get:()=>nb(t,e[0],a.perm)},e)]),If=t=>W({perm:t.attributes.getInts("perm",[])}),nb=(t,e,a)=>{let o=e.dims;a=_f(o,a);let i=ob(o,a),d=o.length,n=`
+      ${ib("perm",a,d)}
+      float process(int indices[${d}]) {
+        int a[${d}];
+        perm(a, indices);
+        return _A(a);
+      }`;return{...vf,output:{dims:i,type:e.type,textureType:0},shaderSource:n}},_f=(t,e)=>(e&&e.length!==t.length&&(e=[...t.keys()].reverse()),e),ob=(t,e)=>(e=_f(t,e),B.sortBasedOnPerm(t,e)),ib=(t,e,a)=>{let o=[];o.push(`void ${t}(out int a[${a}], int src[${a}]) {`);for(let i=0;i<a;++i)o.push(`	a[${e[i]}]=src[${i}];`);return o.push("	}"),o.join(`
+`)},ab=t=>{if(!t||t.length!==1)throw new Error("Transpose requires 1 input.");if(t[0].type!=="float32"&&t[0].type!=="float64")throw new Error("input should be float tensor")}}),Of,Sf,sb,Af=O(()=>{Nn(),Of=(t,e,a)=>{sb(e);let o=a.blocksize,i=o*o,d=a.mode==="DCR"?[0,3,4,1,5,2]:[0,1,4,2,5,3],n=a.mode==="DCR"?[e[0].dims[0],o,o,e[0].dims[1]/i,e[0].dims[2],e[0].dims[3]]:[e[0].dims[0],e[0].dims[1]/i,o,o,e[0].dims[2],e[0].dims[3]],s=t.reshapeUnpacked(e[0],n),g={perm:d,cacheKey:`${d}`},[r]=je(t,[s],g),A=[e[0].dims[0],e[0].dims[1]/i,e[0].dims[2]*o,e[0].dims[3]*o];return[t.reshapeUnpacked(r,A)]},Sf=t=>{let e=t.attributes.getInt("blocksize");if(e<1)throw new Error(`blocksize must be >= 1, but got : ${e} for DepthToSpace`);let a=t.attributes.getString("mode","DCR");if(a!=="DCR"&&a!=="CRD")throw new Error(`unrecognized mode: ${a} for DepthToSpace`);return{mode:a,blocksize:e}},sb=t=>{if(t.length!==1)throw new Error(`DepthToSpace expect 1 inputs, but got ${t.length}`);if(t[0].type==="string"||t[0].dims.length!==4)throw new TypeError("DepthToSpace input should be a 4-D numeric tensor")}}),Pf,Ef,ub,Df=O(()=>{Y(),Pf=(t,e,a)=>{ub(e,a);let o=B.flattenShape(e[0].dims,a);return[t.reshapeUnpacked(e[0],o)]},Ef=t=>t.attributes.getInt("axis",1),ub=(t,e)=>{if(!t||t.length!==1)throw new Error("Flatten requires 1 input.");let a=t[0].dims.length;if(a===0)throw new Error("scalar tensor is not supported.");if(e<-a||e>a)throw new Error("Invalid axis");if(t[0].type==="string")throw new Error("string tensor is not supported.")}}),Pe,Rr=O(()=>{Pe=["float32","float64","int32","int16","int8","uint16","uint32","uint8"]}),Lf,$f,lb,fb,cb,pb,kf=O(()=>{It(),Rr(),Y(),j(),Lf=(t,e,a)=>(pb(e,a.axis),[t.run(cb(t,e,a),e)]),$f=t=>W({axis:t.attributes.getInt("axis",0)}),lb={name:"Gather",inputNames:["A","B"],inputTypes:[0,0]},fb=(t,e,a,o)=>{let i=a[0].dims.slice(),d=a[1].dims.slice(),n=new Array(i.length+d.length-1);o=B.normalizeAxis(o,i.length);let s=[];for(let p=0;p<n.length;p++)p<o?(n[p]=i[p],s.push(`inputIdx[${p}] = outputIdx[${p}];`)):p<o+d.length?(n[p]=d[p-o],s.push(`indexDataIdx[${p-o}] = outputIdx[${p}];`)):(n[p]=i[p-d.length+1],s.push(`inputIdx[${p-d.length+1}] = outputIdx[${p}];`));let g=n.length||1,r=i.length,A=d.length||1,l=`
+      float process(int outputIdx[${g}]) {
+        int inputIdx[${r}];
+        int indexDataIdx[${A}];
+        indexDataIdx[0] = 0;
+        ${s.join(`
+        `)}
+        int idx = int(_B(indexDataIdx));
+        inputIdx[${o}] = idx < 0 ? idx + ${i[o]} : idx;
+        return _A(inputIdx);
+      }`;return{...e,output:{dims:n,type:a[0].type,textureType:0},shaderSource:l}},cb=(t,e,a)=>{let o={...lb,cacheHint:a.cacheKey};return{...o,get:()=>fb(t,o,e,a.axis)}},pb=(t,e)=>{if(!t||t.length!==2)throw new Error("Gather requires 2 inputs.");let a=t[0].dims.length;if(a<1)throw new Error("Invalid input shape.");if(e<-a||e>a-1)throw new Error("Invalid axis.");if(Pe.indexOf(t[0].type)===-1)throw new Error("Invaid input type.");if(t[1].type!=="int32"&&t[1].type!=="int16")throw new Error("Invaid input type.")}}),Ai,Bf,Ff,Cf,db,hb,mb,Nf=O(()=>{It(),Y(),j(),Ai=(t,e,a)=>(mb(e,a),[t.run(db(e,a),e)]),Bf=(t,e)=>{let a=t.attributes.getInt("transA",0)!==0,o=t.attributes.getInt("transB",0)!==0,i=t.attributes.getFloat("alpha",1),d=t.attributes.getFloat("beta",1);return W({transA:a,transB:o,alpha:i,beta:d,isOptionalC:e})},Ff=t=>Bf(t,!1),Cf=t=>Bf(t,!0),db=(t,e)=>{let a={name:"Gemm",inputNames:t.length===3?["A","B","C"]:["A","B"],inputTypes:t.length===3?[0,0,0]:[0,0],key:e.cacheKey};return{...a,get:()=>hb(a,t,e)}},hb=(t,e,a)=>{let o=e[0].dims.slice(),i=e[1].dims.slice(),[d,n]=Sn.getShapeOfGemmResult(o,a.transA,i,a.transB,e.length===3?e[2].dims:void 0),s=[d,n];if(!s)throw new Error("Can't use gemm on the given tensors");let g=o[o.length-1],r="";a.transA&&(g=o[0]),a.transA&&a.transB?r="value += _A_T(a) * _B_T(b);":a.transA&&!a.transB?r="value += _A_T(a) * _B(b);":!a.transA&&a.transB?r="value += _A(a) * _B_T(b);":!a.transA&&!a.transB&&(r="value += _A(a) * _B(b);");let A=s.length,l=e.length===3?`int c[${e[2].dims.length}];`:"",p=e.length===3?"bcastIndices_C(indices, c);":"",C=e.length===3?"value += beta * _C(c);":"",K=`
+      float process(int indices[${A}]) {
+          int a[${A}];
+          int b[${A}];
+          ${l}
+
+          copyVec(indices, a);
+          copyVec(indices, b);
+          ${p}
+
+          float value = 0.0;
+          for (int k=0; k<${g}; ++k) {
+              a[${A-1}] = k;
+              b[${A-2}] = k;
+              ${r}
+          }
+
+          value = value * alpha;
+          ${C}
+          return value;
+      }`;return{...t,output:{dims:s,type:e[0].type,textureType:0},variables:[{name:"alpha",type:"float",data:a.alpha},{name:"beta",type:"float",data:a.beta}],shaderSource:K}},mb=(t,e)=>{if(!t)throw new Error("Input is missing");if(e.isOptionalC&&(t.length<2||t.length>3))throw new Error("Invaid input shape.");if(!e.isOptionalC&&t.length!==3)throw new Error("Gemm requires 3 inputs");if(t.length===3&&t[2].dims.length!==1&&t[2].dims.length!==2)throw new Error("Invalid input shape of C");if(t[0].type!=="float32"&&t[0].type!=="float64"||t[1].type!=="float32"&&t[1].type!=="float64"||t.length===3&&t[2].type!=="float32"&&t[2].type!=="float64")throw new Error("Invalid input type.");if(t[0].type!==t[1].type||t.length===3&&t[0].type!==t[2].type)throw new Error("Input types are mismatched")}}),Rf,Gf,bb,gb,yb,xb,Tb,Mf=O(()=>{It(),j(),Rf=(t,e,a)=>(Tb(e),[t.run(yb(t,e,a),e)]),Gf=t=>{let e=t.attributes.getFloat("scale"),a=t.attributes.getFloats("bias");return W({scale:e,bias:a})},bb={name:"ImageScaler",inputNames:["X"],inputTypes:[0]},gb=(t,e,a,o)=>{let i=a[0].dims.slice(),d=i.length,n=`
+      ${xb(o.bias.length)}
+      float process(int indices[${d}]) {
+        return _X(indices) * scale + getBias(bias, indices[1]);
+      }`;return{...e,output:{dims:i,type:a[0].type,textureType:0},variables:[{name:"bias",type:"float",arrayLength:o.bias.length,data:o.bias},{name:"scale",type:"float",data:o.scale}],shaderSource:n}},yb=(t,e,a)=>{let o={...bb,cacheHint:a.cacheKey};return{...o,get:()=>gb(t,o,e,a)}},xb=t=>{let e=[`float getBias(float bias[${t}], int channel) {`];for(let a=0;a<t;++a)a===0?e.push(`	if (channel == ${a}) { return bias[${a}]; }`):a===t-1?e.push(`	else { return bias[${a}]; }`):e.push(`	else if (channel == ${a}) { return bias[${a}]; }`);return e.push("	}"),e.join(`
+`)},Tb=t=>{if(!t||t.length!==1)throw new Error("ImageScaler requires 1 input.");if(t[0].dims.length!==4)throw new Error("Invalid input shape.");if(t[0].type!=="float32"&&t[0].type!=="float64")throw new Error("Invalid input type.")}}),Vf,zf,Uf,wb,vb,Ib,_b,Ob,Sb,Wf=O(()=>{ut(),j(),Vf=(t,e,a)=>{Sb(e);let o=t.run(vb(e[0]),e);return[t.run(Ob(t,e[0],a,o.dims),[e[0],o,e[1],e[2]])]},zf=t=>t.attributes.getFloat("epsilon",1e-5),Uf={name:"InstanceNormalization_MeanAndVariance",inputNames:["X"],inputTypes:[0]},wb=(t,e)=>{let a=e.dims.slice(),o=a[1],i=a[2]*a[3],d=[a[0],o],n=`
+      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<${a[2]}; a2++) {
+          a[2] = a2;
+          for(int a3=0; a3<${a[3]}; a3++) {
+            a[3] = a3;
+            float x = _X(a);
+            temp += x;
+          }
+        }
+        float mean = temp / float(${i});
+        temp = 0.0;
+        for(int a2=0; a2<${a[2]}; a2++) {
+          a[2] = a2;
+          for(int a3=0; a3<${a[3]}; a3++) {
+            a[3] = a3;
+            float x = _X(a);
+            temp += (x - mean) * (x - mean);
+          }
+        }
+        v.r = mean;
+        v.g = temp / float(${i});
+
+        return v;
+      }`;return{...t,output:{dims:d,type:e.type,textureType:4},shaderSource:n}},vb=t=>({...Uf,get:()=>wb(Uf,t)}),Ib={name:"InstanceNormalization_ComputeOutput",inputNames:["X","MeanAndVariance","Scale","B"],inputTypes:[0,4,0,0]},_b=(t,e,a,o,i)=>{let d=G(t.session.backend.glContext.version),[n,s]=t.calculateTextureWidthAndHeight(i,4),[g,r]=[n/4,s],A=`
+      vec4 get_MeanAndVariance(int[2] mv) {
+        int offset = indicesToOffset_MeanAndVariance(mv);
+        vec2 coords = offsetToCoords(offset, ${g}, ${r});
+        return ${d.texture2D}(MeanAndVariance, coords);
+      }
+
+      float process(int[4] indices) {
+        int mv[2];
+        mv[0] = indices[0];
+        mv[1] = indices[1];
+        vec4 mean_and_variance = get_MeanAndVariance(mv);
+        float mean = mean_and_variance.r;
+        float variance = mean_and_variance.g;
+
+        int sb[1];
+        sb[0] = indices[1];
+        float scale = _Scale(sb);
+        float b = _B(sb);
+
+        return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b;
+      }`;return{...e,output:{dims:a.dims,type:a.type,textureType:0},variables:[{name:"epsilon",type:"float",data:o}],shaderSource:A}},Ob=(t,e,a,o)=>{let i={...Ib,cacheHint:`${a}`};return{...i,get:()=>_b(t,i,e,a,o)}},Sb=t=>{if(!t||t.length!==3)throw new Error("InstanceNormalization requires 3 inputs.");let e=t[0],a=t[1],o=t[2];if(e.dims.length<3||a.dims.length!==1||o.dims.length!==1)throw new Error("Invalid input shape.");if(a.dims[0]!==e.dims[1]||o.dims[0]!==e.dims[1])throw new Error("Input shapes are mismatched.");if(e.type!=="float32"&&e.type!=="float64"||a.type!=="float32"&&a.type!=="float64"||o.type!=="float32"&&o.type!=="float64")throw new Error("Invalid input type.");if(t[0].dims.length!==4)throw new Error("Only support 4-D input shape.")}});function Ab(t,e){let a=t[0].dims[1],o=t[0].dims.length,i=-Math.floor((e.size-1)/2),d=Math.ceil((e.size-1)/2),n=`float(${e.alpha}) / float(${e.size})`,s=`float(${e.bias})`,g=`float(${e.beta})`,r=`
+    float process(int indices[${o}]) {
+        int c = indices[1];
+        float x = _X(indices);
+        float square_sum = 0.0;
+
+        for (int i = ${i}; i <= ${d}; i++) {
+          int idx = c + i;
+          if (c >= 0 && c < ${a}) {
+            indices[1] = idx;
+            float j = _X(indices);
+            square_sum += j * j;
+          }
+        }
+        return x / pow(${s} + ${n} * square_sum, ${g});
+    }`;return{...jf,cacheHint:e.cacheKey,output:{dims:t[0].dims,type:t[0].type,textureType:0},shaderSource:r}}function Pb(t,e){return{...jf,cacheHint:e.cacheKey,get:()=>Ab(t,e)}}var Hf,qf,jf,Eb,Xf=O(()=>{It(),j(),Hf=(t,e,a)=>(Eb(e),[t.run(Pb(e,a),e)]),qf=t=>{let e=t.attributes.getFloat("alpha",1e-4),a=t.attributes.getFloat("beta",.75),o=t.attributes.getFloat("bias",1),i=t.attributes.getInt("size");return W({alpha:e,beta:a,bias:o,size:i})},jf={name:"LRN",inputNames:["X"],inputTypes:[0]},Eb=t=>{if(!t||t.length!==1)throw new Error("LRN requires 1 input.");if(t[0].dims.length!==4)throw new Error('currently only support LRN for input with "NCHW" format');if(t[0].type!=="float32")throw new Error("input should be float type")}}),Db,Pi,Kf,Jf,Yf,Lb,$b,kb,Bb,Fb,Cb,Nb,Rb,Zf=O(()=>{It(),Y(),ut(),j(),Db={name:"Pad",inputNames:["A"],inputTypes:[0]},Pi=(t,e,a)=>(kb(e),[t.run({...Db,cacheHint:a.cacheKey,get:()=>$b(t,e[0],a)},e)]),Kf=t=>{let e=t.attributes.getString("mode","constant"),a=t.attributes.getFloat("value",0),o=t.attributes.getInts("pads");return W({mode:e,value:a,pads:o})},Jf=(t,e,a)=>{Bb(e);let o=Lb(t,e,a);return Pi(t,[e[0]],o)},Yf=t=>t.attributes.getString("mode","constant"),Lb=(t,e,a)=>{if(!t.session.isInitializer(e[1].dataId)||e.length>=3&&!t.session.isInitializer(e[2].dataId))throw new Error("dynamic pad attributes are not allowed");let o=Array.from(e[1].integerData),i=e.length>=3?e[2].floatData[0]:0;return W({mode:a,pads:o,value:i})},$b=(t,e,a)=>{let o=B.padShape(e.dims.slice(),a.pads),i=o.length,d=`
+      ${Fb(t,e,a)}
+      float process(int[${i}] indices) {
+          return padA(indices);
+      }`;return{name:"Pad",inputNames:["A"],inputTypes:[0],output:{dims:o,type:e.type,textureType:0},shaderSource:d}},kb=t=>{if(!t||t.length!==1)throw new Error("Pad requires 1 input");if(t[0].type!=="float32"&&t[0].type!=="float64")throw new Error("Invalid input type.")},Bb=t=>{if(!t||t.length!==2&&t.length!==3)throw new Error("Pad requires 2 or 3 inputs");if(t[1].type!=="int32")throw new Error("Invalid input type.");if(t.length>=3&&t[2].type==="string")throw new Error("Invalid input type.")},Fb=(t,e,a)=>{let o=G(t.session.backend.glContext.version),[i,d]=t.calculateTextureWidthAndHeight(e.dims,0),n=B.computeStrides(e.dims);switch(a.mode){case"constant":return Cb(o,e.dims,n,i,d,a.pads,a.value);case"reflect":return Nb(o,e.dims,n,i,d,a.pads);case"edge":return Rb(o,e.dims,n,i,d,a.pads);default:throw new Error("Invalid mode")}},Cb=(t,e,a,o,i,d,n)=>{let s=e.length,g="";for(let r=s-1;r>=0;--r)g+=`
+        k = m[${r}] - ${d[r]};
+        if (k < 0)  return constant;
+        if (k >= ${e[r]}) return constant;
+        offset += k * ${a[r]};
+        `;return`
+      float padA(int m[${s}]) {
+        const float constant = float(${n});
+        int offset = 0;
+        int k = 0;
+        ${g}
+        vec2 coords = offsetToCoords(offset, ${o}, ${i});
+        float value = getColorAsFloat(${t.texture2D}(A, coords));
+        return value;
+      }
+      `},Nb=(t,e,a,o,i,d)=>{let n=e.length,s="";for(let g=n-1;g>=0;--g)s+=`
+        k = m[${g}] - ${d[g]};
+        if (k < 0) { k = -k; }
+        {
+          const int _2n_1 = ${2*(e[g]-1)};
+          k = int( mod( float(k), float(_2n_1) ) ) ;
+          if(k >= ${e[g]}) { k = _2n_1 - k; }
+        }
+        offset += k * ${a[g]};
+        `;return`
+      float padA(int m[${n}]) {
+        int offset = 0;
+        int k = 0;
+        ${s}
+        vec2 coords = offsetToCoords(offset, ${o}, ${i});
+        float value = getColorAsFloat(${t.texture2D}(A, coords));
+        return value;
+      }
+      `},Rb=(t,e,a,o,i,d)=>{let n=e.length,s="";for(let g=n-1;g>=0;--g)s+=`
+        k = m[${g}] - ${d[g]};
+        if (k < 0)  k = 0;
+        if (k >= ${e[g]}) k = ${e[g]-1};
+        offset += k * ${a[g]};
+      `;return`
+      float padA(int m[${n}]) {
+        int offset = 0;
+        int k = 0;
+        ${s}
+        vec2 coords = offsetToCoords(offset, ${o}, ${i});
+        float value = getColorAsFloat(${t.texture2D}(A, coords));
+        return value;
+      }
+      `}}),tc,ec,rc,nc,oc,ic,ac,sc,uc,Gb,Qf,lc,Gn,fc,Rn,Mb,cc=O(()=>{It(),Y(),j(),tc=(t,e,a)=>{Gn(e);let o={name:"AveragePool",inputNames:["X"],inputTypes:[0],cacheHint:a.cacheKey};return[t.run({...o,get:()=>rc(e,o,!1,a)},e)]},ec=t=>{let e=t.attributes.getString("auto_pad","NOTSET"),a=t.attributes.getInt("ceil_mode",0),o=t.attributes.getInt("count_include_pad",0)!==0,i=t.attributes.getInts("kernel_shape"),d=t.attributes.getInts("strides",[]),n=t.attributes.getInts("pads",[]);if(a!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return W({autoPad:e,ceilMode:a,countIncludePad:o,kernelShape:i,strides:d,pads:n})},rc=(t,e,a,o)=>{let[i,d]=uc(t,o,a),n=B.size(i.kernelShape),s="value += _X(x);",g="";i.countIncludePad?g+=`value /= float(${n});`:g+=`value /= float(${n} - pad);`;let r=`
+        ${fc(t[0].dims,i,s,g,"0.0")}
+      `;return{...e,output:{dims:d,type:t[0].type,textureType:0},shaderSource:r}},nc=(t,e,a)=>{Gn(e);let o={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[0],cacheHint:`${a.countIncludePad}`};return[t.run({...o,get:()=>rc(e,o,!0,a)},e)]},oc=t=>{let e=t.attributes.getInt("count_include_pad",0)!==0;return W({autoPad:"",ceilMode:0,countIncludePad:e,kernelShape:[],strides:[],pads:[]})},ic=(t,e,a)=>{Gn(e);let o={name:"MaxPool",inputNames:["X"],inputTypes:[0],cacheHint:a.cacheKey};return[t.run({...o,get:()=>sc(e,o,!1,a)},e)]},ac=t=>{let e=t.attributes.getString("auto_pad","NOTSET"),a=t.attributes.getInt("ceil_mode",0),o=t.attributes.getInts("kernel_shape"),i=t.attributes.getInts("strides",[]),d=t.attributes.getInts("pads",[]),n=t.attributes.getInt("storage_order",0),s=t.attributes.getInts("dilations",[]);if(n!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(a!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");return W({autoPad:e,ceilMode:a,countIncludePad:!1,kernelShape:o,strides:i,pads:d,storageOrder:n,dilations:s})},sc=(t,e,a,o)=>{let[i,d]=uc(t,o,a),n=`
+      value = max(_X(x), value);
+    `,s="",g=`
+      ${fc(t[0].dims,i,n,s,"-1e5")}
+    `;return{...e,output:{dims:d,type:t[0].type,textureType:0},shaderSource:g}},uc=(t,e,a)=>{let o=t[0].dims.slice(),i=Object.hasOwnProperty.call(e,"dilations"),d=e.kernelShape.slice(),n=e.strides.slice(),s=i?e.dilations.slice():[],g=e.pads.slice();Ue.adjustPoolAttributes(a,o,d,n,s,g);let r=Ue.computePoolOutputShape(a,o,n,s,d,g,e.autoPad),A=Object.assign({},e);return i?Object.assign(A,{kernelShape:d,strides:n,pads:g,dilations:s,cacheKey:e.cacheKey}):Object.assign(A,{kernelShape:d,strides:n,pads:g,cacheKey:e.cacheKey}),[A,r]},Gb={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""},Qf={name:"GlobalMaxPool",inputNames:["X"],inputTypes:[0]},lc=(t,e)=>(Gn(e),[t.run({...Qf,get:()=>sc(e,Qf,!0,Gb)},e)]),Gn=t=>{if(!t||t.length!==1)throw new Error("Pool ops requires 1 input.");if(t[0].type!=="float32"&&t[0].type!=="float64")throw new Error("Invalid input type.")},fc=(t,e,a,o,i)=>{let d=t.length;if(e.kernelShape.length<=2){let n=e.kernelShape[e.kernelShape.length-1],s=e.strides[e.strides.length-1],g=e.pads[e.pads.length/2-1],r=e.pads[e.pads.length-1],A=t[d-1],l="",p="",C="";if(g+r!==0?l=`
+          for (int i = 0; i < ${n}; i++) {
+            x[${d} - 1] = indices[${d} - 1] * ${s} - ${g} + i;
+            if (x[${d} - 1] < 0 || x[${d} - 1] >= ${A}) {
+              pad++;
+              continue;
+            }
+            ${a}
+          }`:l=`
+          for (int i = 0; i < ${n}; i++) {
+            x[${d} - 1] = indices[${d} - 1] * ${s} - ${g} + i;
+            ${a}
+          }`,e.kernelShape.length===2){let K=e.kernelShape[e.kernelShape.length-2],c=e.strides[e.strides.length-2],m=e.pads[e.pads.length/2-2],X=e.pads[e.pads.length-2],h=t[d-2];m+X!==0?p=`
+            for (int j = 0; j < ${K}; j++) {
+              x[${d} - 2] = indices[${d} - 2] * ${c} - ${m} + j;
+              if (x[${d} - 2] < 0 || x[${d} - 2] >= ${h}) {
+                pad+= ${n};
+                continue;
+              }
+          `:p=`
+            for (int j = 0; j < ${K}; j++) {
+              x[${d} - 2] = indices[${d} - 2] * ${c} - ${m} + j;
+            `,C=`
+          }
+        `}return`
+        float process(int indices[${d}]) {
+          int x[${d}];
+          copyVec(indices, x);
+
+          float value = ${i};
+          int pad = 0;
+          ${p}
+          ${l}
+          ${C}
+          ${o}
+          return value;
+        }
+      `}else{let n=B.size(e.kernelShape),s=B.computeStrides(e.kernelShape),g=s.length,r=e.pads.length,A=Mb(g),l=Rn(t,"inputDims"),p=Rn(e.pads,"pads"),C=Rn(s,"kernelStrides"),K=Rn(e.strides,"strides"),c=e.pads.reduce((X,h)=>X+h),m="";return c?m=`
+            if (x[j] >= inputDims[j] || x[j] < 0) {
+              pad++;
+              isPad = true;
+              break;
+            }
+          }
+          if (!isPad) {
+            ${a}
+          }`:m=`
+          }
+          ${a}
+        `,`
+        ${A}
+        float process(int indices[${d}]) {
+          int x[${d}];
+          copyVec(indices, x);
+          int offset[${g}];
+          int pads[${r}];
+          int inputDims[${d}];
+          int kernelStrides[${g}];
+          int strides[${g}];
+          ${p}
+          ${l}
+          ${K}
+          ${C}
+
+          float value = ${i};
+          int pad = 0;
+          bool isPad = false;
+          for (int i = 0; i < ${n}; i++) {
+            offsetToIndices(i, kernelStrides, offset);
+            isPad = false;
+            for (int j = ${d} - ${g}; j < ${d}; j++) {
+              x[j] = indices[j] * strides[j - ${d} + ${g}]
+                + offset[j - ${d} + ${g}] - pads[j - 2];
+              ${m}
+          }
+          ${o}
+
+          return value;
+        }
+      `}},Rn=(t,e)=>{let a="";for(let o=0;o<t.length;o++)a+=`
+      ${e}[${o}] = ${t[o]};
+    `;return a},Mb=t=>`
+  void offsetToIndices(int offset, int[${t}] strides, out int[${t}] indices) {
+    if (${t} == 0) {
+      return;
+    }
+    for (int i = 0; i < ${t} - 1; ++i) {
+      indices[i] = offset / strides[i];
+      offset -= indices[i] * strides[i];
+    }
+    indices[${t} - 1] = offset;
+  }`}),Xe,Ee,Ub,Vb,pc,dc,hc,mc,bc,gc,yc,xc=O(()=>{It(),Rr(),Y(),j(),Xe=(t,e,a,o,i)=>{Vb(e);let d={name:o,inputNames:["A"],inputTypes:[0]};return[t.run({...d,cacheHint:a.cacheKey,get:()=>Ub(t,e,a,o,i,d)},e)]},Ee=t=>{let e=t.attributes.getInts("axes",[]),a=t.attributes.getInt("keepdims",1)===1;return W({axes:e,keepDims:a})},Ub=(t,e,a,o,i,d)=>{let n=[],s=e[0].dims.length||1,g=[],r=B.normalizeAxes(a.axes,e[0].dims.length),A=i(e,r),l=A[1];for(let C=0;C<e[0].dims.length;C++)r.indexOf(C)>=0||r.length===0?(a.keepDims&&n.push(1),l=`
+          for(int j${C} = 0; j${C} < ${e[0].dims[C]}; j${C}++) {
+            inputIdx[${C}] = j${C};
+            ${l}
+          }`):(g.push(`inputIdx[${C}] = outputIdx[${n.length}];`),n.push(e[0].dims[C]));let p=`
+      float process(int outputIdx[${n.length||1}]) {
+        float value;                 // final result
+        int inputIdx[${s}];      // addressing input data
+        ${g.join(`
+`)}
+        ${A[0]}       // init ops for reduce max/min
+        ${l}
+        ${A[2]}       // final computation for reduce mean
+        return value;
+      }`;return{...d,output:{dims:n,type:e[0].type,textureType:0},shaderSource:p}},Vb=t=>{if(!t||t.length!==1)throw new Error("Reduce op requires 1 input.");if(Pe.indexOf(t[0].type)===-1)throw new Error("Invalid input type.")},pc=(t,e,a)=>Xe(t,e,a,"ReduceSum",()=>["value = 0.0;","value += _A(inputIdx);",""]),dc=(t,e,a)=>Xe(t,e,a,"ReduceMean",(o,i)=>{let d=1;for(let n=0;n<o[0].dims.length;n++)(i.indexOf(n)>=0||i.length===0)&&(d*=o[0].dims[n]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${d}.;`]}),hc=(t,e,a)=>Xe(t,e,a,"ReduceMax",(o,i)=>{let d=[];for(let n=0;n<o[0].dims.length;n++)(i.indexOf(n)>=0||i.length===0)&&d.push(`inputIdx[${n}] = 0;`);return[`${d.join(`
+`)}
+value = _A(inputIdx);`,"value = max(value, _A(inputIdx));",""]}),mc=(t,e,a)=>Xe(t,e,a,"ReduceMin",(o,i)=>{let d=[];for(let n=0;n<o[0].dims.length;n++)(i.indexOf(n)>=0||i.length===0)&&d.push(`inputIdx[${n}] = 0;`);return[`${d.join(`
+`)}
+value = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]}),bc=(t,e,a)=>Xe(t,e,a,"ReduceProd",()=>["value = 1.0;","value *= _A(inputIdx);",""]),gc=(t,e,a)=>Xe(t,e,a,"ReduceLogSum",()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"]),yc=(t,e,a)=>Xe(t,e,a,"ReduceLogSumSquare",()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""])}),Tc,wc=O(()=>{Y(),Tc=(t,e)=>{let a=B.calculateReshapedDims(e[0].dims,e[1].integerData);return t.session.pack?[t.reshapePacked(e[0],a)]:[t.reshapeUnpacked(e[0],a)]}}),vc,Ei,Ic,_c,Gr,zb,Di,Mn,Li=O(()=>{It(),ut(),j(),vc={name:"Upsample",inputNames:["X"],inputTypes:[0]},Ei=(t,e,a)=>(Di(e,a),[t.run({...vc,cacheHint:a.cacheKey,get:()=>zb(t,e,a)},e)]),Ic=t=>Gr(t,7),_c=t=>Gr(t,9),Gr=(t,e)=>{let a=e>=10,o=t.attributes.getString("mode","nearest");if(o!=="nearest"&&o!=="linear"&&(e<11||o!=="cubic"))throw new Error(`unrecognized mode: ${o}`);let i=[];e<9&&(i=t.attributes.getFloats("scales"),Mn(i,o,a));let d=t.attributes.getFloat("extrapolation_value",0),n=e>10?t.attributes.getString("coordinate_transformation_mode","half_pixel"):"asymmetric";if(["asymmetric","pytorch_half_pixel","tf_half_pixel_for_nn","align_corners","tf_crop_and_resize","half_pixel"].indexOf(n)===-1)throw new Error(`coordinate_transform_mode '${n}' is not supported`);let s=n==="tf_crop_and_resize",g=s,r=o==="nearest"&&e>=11?t.attributes.getString("nearest_mode","round_prefer_floor"):"";if(["round_prefer_floor","round_prefer_ceil","floor","ceil",""].indexOf(r)===-1)throw new Error(`nearest_mode '${r}' is not supported`);let A=t.attributes.getFloat("cubic_coeff_a",-.75),l=t.attributes.getInt("exclude_outside",0)!==0;if(l&&o!=="cubic")throw new Error("exclude_outside can be set to 1 only when mode is CUBIC.");let p=e<11?!0:o==="nearest"&&n==="asymmetric"&&r==="floor",C=0,K=0,c=0;return e>10?t.inputs.length>2?(C=1,K=2,c=3):(K=1,c=2):e===9&&(K=1),W({opset:e,isResize:a,mode:o,scales:i,extrapolationValue:d,coordinateTransformMode:n,useExtrapolation:g,needRoiInput:s,nearestMode:r,cubicCoefficientA:A,excludeOutside:l,useNearest2xOptimization:p,roiInputIdx:C,scalesInputIdx:K,sizesInputIdx:c})},zb=(t,e,a)=>{let o=G(t.session.backend.glContext.version),[i,d]=t.calculateTextureWidthAndHeight(e[0].dims,0),n=e[0].dims.map((c,m)=>Math.floor(c*a.scales[m])),[s,g]=t.calculateTextureWidthAndHeight(n,0),r=n.length,A=new Array(r),l=new Array(r),p=`
+      int output_pitches[${r}];
+      int input_pitches[${r}];
+      `;for(let c=r-1;c>=0;c--)A[c]=c===r-1?1:A[c+1]*n[c+1],l[c]=c===r-1?1:l[c+1]*e[0].dims[c+1],p+=`
+        output_pitches[${c}] = ${A[c]};
+        input_pitches[${c}] = ${l[c]};
+        `;let C=`
+      float getInputFloat(int index) {
+        vec2 coords = offsetToCoords(index, ${i}, ${d});
+        float value = getColorAsFloat(${o.texture2D}(X, coords));
+        return value;
+      }
+      `,K=a.mode==="nearest"?`
+    ${C}
+    float process(int indices[${r}]) {
+      int input_index = 0;
+      int output_index = coordsToOffset(TexCoords, ${s}, ${g});
+
+      ${p}
+
+      int d, m;
+      for (int dim = 0; dim < ${r}; ++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);
+    }`:r===4?`
+    ${C}
+    float process(int indices[4]) {
+      int input_index = 0;
+      int output_index = coordsToOffset(TexCoords, ${s}, ${g});
+
+      ${p}
+
+      int m;
+      int index_of_dim0, index_of_dim1, index_of_dim2, index_of_dim3;
+      index_of_dim0 = output_index / output_pitches[0];
+      m = output_index - index_of_dim0 * output_pitches[0];
+      index_of_dim1 = m / output_pitches[1];
+      m = m - index_of_dim1 * output_pitches[1];
+      index_of_dim2 = m / output_pitches[2];
+      m = m - index_of_dim2 * output_pitches[2];
+      index_of_dim3 = m;
+
+      int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset;
+      index_of_input_dim2 = index_of_dim2 / scales[2];
+      y_offset = index_of_dim2 - index_of_input_dim2 * scales[2];
+      index_of_input_dim3 = index_of_dim3 / scales[3];
+      x_offset = index_of_dim3 - index_of_input_dim3 * scales[3];
+
+      input_index = index_of_dim0 * input_pitches[0] +
+            index_of_dim1 * input_pitches[1] +
+            index_of_input_dim2 * input_pitches[2] +
+            index_of_input_dim3;
+
+      float x00 = getInputFloat(input_index);
+      float x10, x01, x11;
+
+      bool end_of_dim2 = false;
+      if (index_of_input_dim2 == (${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]);
+    }`:`
+    ${C}
+    float process(int indices[2]) {
+      int input_index = 0;
+      int output_index = coordsToOffset(TexCoords, ${s}, ${g});
+
+      ${p}
+
+      int m;
+      int index_of_dim0, index_of_dim1;
+      index_of_dim0 = output_index / output_pitches[0];
+      m = output_index - index_of_dim0 * output_pitches[0];
+      index_of_dim1 = m;
+
+      int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset;
+      index_of_input_dim0 = index_of_dim0 / scales[0];
+      y_offset = index_of_dim0 - index_of_input_dim0 * scales[0];
+      index_of_input_dim1 = index_of_dim1 / scales[1];
+      x_offset = index_of_dim1 - index_of_input_dim1 * scales[1];
+
+      input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1;
+
+      float x00 = getInputFloat(input_index);
+      float x10, x01, x11;
+
+      bool end_of_dim0 = false;
+      if (index_of_input_dim0 == (${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{...vc,output:{dims:n,type:e[0].type,textureType:0},shaderSource:K,variables:[{name:"scales",type:"int",arrayLength:a.scales.length,data:a.scales.map(c=>Math.ceil(c))}]}},Di=(t,e)=>{if(!t||e.opset<9&&t.length!==1||e.opset>=9&&e.opset<11&&t.length!==2||e.opset>=11&&t.length<2)throw new Error("invalid inputs.");if(e.scales.length>0&&t[0].dims.length!==e.scales.length)throw new Error("Invalid input shape.");if(t[0].type==="string")throw new Error("Invalid input tensor types.")},Mn=(t,e,a)=>{if(a){for(let o of t)if(o<=0)throw new Error("Scale value should be greater than 0.")}else for(let o of t)if(o<1)throw new Error("Scale value should be greater than or equal to 1.");if((e==="linear"||e==="cubic")&&t.length!==2&&(t.length!==4||t[0]!==1||t[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 ${a?"Resize":"Upsample"} opeartor.`)}}),$i,ki,Oc,Sc,Wb,Hb,qb,jb,Ac=O(()=>{ut(),j(),pe(),He(),Li(),$i={name:"Resize",inputNames:["A"],inputTypes:[2]},ki=(t,e,a)=>(Di(e,a),[t.run({...$i,cacheHint:a.cacheKey,get:()=>Wb(t,e,a)},e)]),Oc=t=>Gr(t,10),Sc=t=>Gr(t,11),Wb=(t,e,a)=>{let o=G(t.session.backend.glContext.version),[i,d]=Hb(e,a);if(i.every(h=>h===1)&&a.coordinateTransformMode!=="tf_crop_and_resize")return{...$i,output:{dims:d,type:e[0].type,textureType:2},hasMain:!0,shaderSource:`void main() {
+                    vec4 v = ${o.texture2D}(X, TexCoords);
+                    ${o.output} = v;
+                }`};let n=d.length;if(n<2)throw new Error(`output dimension should be at least 2, but got ${n}`);let s=d[n-2],g=d[n-1],r=e[0].dims;if(n!==r.length)throw new Error(`output dimension should match input ${r.length}, but got ${n}`);let A=r[n-2],l=r[n-1],p=i[n-2],C=i[n-1],K="";if(a.mode!=="linear")throw new Error(`resize (packed) does not support mode: '${a.mode}'`);switch(a.coordinateTransformMode){case"asymmetric":K=`
+                    vec4 getSourceFracIndex(ivec4 coords) {
+                        return vec4(coords) / scaleWHWH;
+                    }
+                `;break;case"half_pixel":K=`
+                    vec4 getSourceFracIndex(ivec4 coords) {
+                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;
+                    }
+                `;break;case"pytorch_half_pixel":K=`
+                    vec4 getSourceFracIndex(ivec4 coords) {
+                        vec4 fcoords = vec4(coords);
+                        return vec4(
+                            ${g}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,
+                            ${s}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,
+                            ${g}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,
+                            ${s}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0
+                          );
+                    }
+                `;break;case"align_corners":K=`
+                    vec4 getSourceFracIndex(ivec4 coords) {
+                        vec4 resized = vec4(${g}.0 - 1.0, ${s}.0 - 1.0, ${g}.0 - 1.0,
+                            ${s}.0 - 1.0);
+                        vec4 original = vec4(${l}.0 - 1.0, ${A}.0 - 1.0, ${l}.0 - 1.0,
+                            ${A}.0 - 1.0);
+                        vec4 new_scale = original / resized;
+                        return vec4(coords) * new_scale;
+                    }
+                `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode:                                 '${a.coordinateTransformMode}'`)}let c=Bt(n),m=de(),X=`
+            const vec2 inputWH = vec2(${A}.0, ${l}.0);
+            const vec4 scaleWHWH = vec4(float(${p}), float(${C}), float(${p}), float(${C}));
+            ${m}
+            ${K}
+            float getAValue(int x10, int r, int c, int d) {
+                return getChannel(getA(x10, r, c, d), vec2(c, d));
+            }
+            void main() {
+                ${c} 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 < ${s-1};
+                bool hasNextCol = rc.z < ${g-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);
+
+                ${o.output} = vec4(newValue);
+            }
+        `;return{...$i,output:{dims:d,type:e[0].type,textureType:2},hasMain:!0,shaderSource:X}},Hb=(t,e)=>{let a=t[0].dims,o=e.scales,i;if(o.length===0){let n=t[e.scalesInputIdx];if(n&&n.size!==0){if(t[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");o=qb(n,e.mode,e.isResize)}else{let s=t[e.sizesInputIdx];if(!s||s.size===0)throw new Error("Either scales or sizes MUST be provided as input.");i=Array.from(s.integerData),o=jb(i,a,e.mode,e.isResize)}}else if(t[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");let d=i||a.map((n,s)=>Math.floor(n*o[s]));return[o,d]},qb=(t,e,a)=>{let o=Array.from(t.floatData);return Mn(o,e,a),o},jb=(t,e,a,o)=>{let i=e.length,d=new Array(i);for(let n=0,s=i;n<s;n++)if(e[n]===0){if(t[n]!==0)throw new Error("Input dim is zero but required output dim is non-zero.");d[n]=1}else d[n]=t[n]/e[n];return Mn(d,a,o),d}}),Pc,Xb,Ec=O(()=>{We(),Pc=(t,e)=>(Xb(e),[new bt([e[0].dims.length],"int32",void 0,void 0,new Int32Array(e[0].dims))]),Xb=t=>{if(!t||t.length!==1)throw new Error("Shape requires 1 input.")}}),Bi,Dc,Lc,$c,Kb,kc,Jb,Yb,Bc=O(()=>{It(),Rr(),Y(),j(),Bi={name:"Slice",inputNames:["A"],inputTypes:[0]},Dc=(t,e,a)=>(Kb(e),[t.run({...Bi,cacheHint:a.cacheKey,get:()=>$c(t,e[0],a)},e)]),Lc=t=>{let e=t.attributes.getInts("starts"),a=t.attributes.getInts("ends"),o=t.attributes.getInts("axes",[]);return W({starts:e,ends:a,axes:o})},$c=(t,e,a)=>{let o=a.axes.length===0?e.dims.slice(0).map((A,l)=>l):a.axes,i=B.normalizeAxes(o,e.dims.length),d=a.starts.map((A,l)=>A>e.dims[i[l]]-1?e.dims[i[l]]:B.normalizeAxis(A,e.dims[i[l]])),n=a.ends.map((A,l)=>A>e.dims[i[l]]-1?e.dims[i[l]]:B.normalizeAxis(A,e.dims[i[l]])),s=e.dims.slice(),g=[];for(let A=0;A<i.length;A++)s[i[A]]=n[A]-d[A],d[A]>0&&g.push(`outputIdx[${i[A]}] += ${d[A]};`);let r=`
+      float process(int outputIdx[${s.length}]) {
+        ${g.join(`
+      `)}
+        return _A(outputIdx);
+      }`;return{...Bi,output:{dims:s,type:e.type,textureType:0},shaderSource:r}},Kb=t=>{if(!t||t.length!==1)throw new Error("Slice requires 1 input.");if(Pe.indexOf(t[0].type)===-1)throw new Error("Invalid input type.")},kc=(t,e)=>{Yb(e);let a=Jb(t,e);return[t.run({...Bi,cacheHint:a.cacheKey,get:()=>$c(t,e[0],a)},[e[0]])]},Jb=(t,e)=>{if(!t.session.isInitializer(e[1].dataId)||!t.session.isInitializer(e[2].dataId)||e.length>=4&&!t.session.isInitializer(e[3].dataId)||e.length>=5&&!t.session.isInitializer(e[4].dataId))throw new Error("dynamic slice attributes are not allowed");if(e.length>=5&&e[4].integerData.some(n=>n!==1))throw new Error("currently non-1 steps is not supported for Slice");let a=Array.from(e[1].integerData),o=Array.from(e[2].integerData),i=e.length>=4?Array.from(e[3].integerData):[],d=`${i};${a};${o}`;return{starts:a,ends:o,axes:i,cacheKey:d}},Yb=t=>{if(!t||t.length<3||t.length>5)throw new Error("Invalid input number.");if(t[1].type!=="int32"||t[1].dims.length!==1)throw new Error("Invalid input type.");if(t[2].type!=="int32"||t[2].dims.length!==1)throw new Error("Invalid input type.");if(t.length>=4&&(t[3].type!=="int32"||t[3].dims.length!==1))throw new Error("Invalid input type.");if(t.length>=5&&(t[4].type!=="int32"||t[4].dims.length!==1))throw new Error("Invalid input type.")}}),Fc,Cc,Nc,Rc,Gc,Mc,Uc,Vc,Zb,Qb,tg,zc,Wc=O(()=>{It(),Y(),ut(),j(),Nn(),Fc={name:"SoftmaxComputeMax",inputNames:["A"],inputTypes:[0]},Cc={name:"SoftmaxComputeScale",inputNames:["A","Max"],inputTypes:[0,0]},Nc={name:"SoftMax",inputNames:["A","Max","Norm"],inputTypes:[0,0,0]},Rc=(t,e,a)=>{zc(e);let o=e[0].dims.slice(),i=B.normalizeAxis(a.axis,o.length),d=B.sizeToDimension(o,i),n=B.sizeFromDimension(o,i);return Vc(t,e,a,d,n)},Gc=t=>W({axis:t.attributes.getInt("axis",1)}),Mc=t=>W({axis:t.attributes.getInt("axis",-1)}),Uc=(t,e,a)=>{zc(e);let o=e[0].dims.slice(),i=B.normalizeAxis(a.axis,o.length),d=o.length,n=i!==d-1,s=[],g=[],r=[],A;n&&(g=Array.from({length:d}).map((K,c)=>c),g[i]=d-1,g[d-1]=i,g.map(K=>s.push(o[K])),A=W({perm:g}),r=je(t,e,A));let l=n?B.sizeToDimension(s,d-1):B.sizeToDimension(o,d-1),p=n?B.sizeFromDimension(s,d-1):B.sizeFromDimension(o,d-1),C=Vc(t,n?r:e,a,l,p);return n?je(t,C,A):C},Vc=(t,e,a,o,i)=>{let d=Zb(t,e[0],o,i,[o]),n=t.run({...Fc,cacheHint:a.cacheKey,get:()=>d},e),s=Qb(t,e[0],o,i,d.output.dims,[o]),g=t.run({...Cc,cacheHint:a.cacheKey,get:()=>s},[e[0],n]),r=tg(t,e[0],o,i,d.output.dims,s.output.dims);return[t.run({...Nc,cacheHint:a.cacheKey,get:()=>r},[e[0],n,g])]},Zb=(t,e,a,o,i)=>{let[d,n]=t.calculateTextureWidthAndHeight(e.dims,0),s=i.length;if(a<1||o<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(i.length!==1)throw new Error("Dimensionality of the output should be 1");if(i[0]!==a)throw new Error("Shape of the output should be equal to logical row count");let g=G(t.session.backend.glContext.version),r=`
+      float process(int[${s}] indices) {
+        int logical_row_start_offset = indices[0] * ${o};
+
+        float max = getColorAsFloat(${g.texture2D}(A, offsetToCoords(logical_row_start_offset, ${d},
+        ${n} )));
+        for(int i=1; i<${o}; ++i)
+        {
+          float current = getColorAsFloat(${g.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
+            ${d}, ${n})));
+          if(current > max)
+          max = current;
+        }
+
+        return max;
+      }`;return{...Fc,output:{dims:i,type:e.type,textureType:0},shaderSource:r}},Qb=(t,e,a,o,i,d)=>{let[n,s]=t.calculateTextureWidthAndHeight(e.dims,0),g=d.length;if(a<1||o<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(d.length!==1)throw new Error("Dimensionality of the output should be 1");if(d[0]!==a)throw new Error("Shape of the output should be equal to logical row count");if(i.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(i[0]!==a)throw new Error("Shape of the intermediate results should be equal to logical row count");let r=G(t.session.backend.glContext.version),A=`
+      float process(int[${g}] indices) {
+        int logical_row_start_offset = indices[0] * ${o};
+
+        float norm_factor = 0.0;
+        float max = _Max(indices);
+        for(int i=0; i<${o}; ++i)
+        {
+          norm_factor += exp(getColorAsFloat(${r.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
+            ${n}, ${s}))) - max);
+        }
+
+        return norm_factor;
+      }`;return{...Cc,output:{dims:d,type:e.type,textureType:0},shaderSource:A}},tg=(t,e,a,o,i,d)=>{let[n,s]=t.calculateTextureWidthAndHeight(e.dims,0),g=e.dims.length;if(a<1||o<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(i.length!==1||d.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(i[0]!==a||d[0]!==a)throw new Error("Shape of the intermediate results should be equal to logical row count");let r=`
+      float process(int[${g}] indices) {
+
+      // get offset of current logical tensor index from the 2-D texture coordinates (TexCoords)
+      int offset = coordsToOffset(TexCoords, ${n}, ${s});
+
+      //determine the logical row for this index
+      int logical_row_index[1];
+      logical_row_index[0] = offset / ${o};
+
+      float norm_factor = _Norm(logical_row_index);
+
+      // avoid possible division by 0
+      // if norm_facor is 0, all elements are zero
+      // if so, return 0
+      if(norm_factor == 0.0)
+        return 0.0;
+
+      return exp(_A(indices) - _Max(logical_row_index)) / norm_factor;
+    }`;return{...Nc,output:{dims:e.dims,type:e.type,textureType:0},shaderSource:r}},zc=t=>{if(!t||t.length!==1)throw new Error("Softmax requires 1 input.");if(t[0].type!=="float32"&&t[0].type!=="float64")throw new Error("Invalid input type")}}),Hc,qc,jc,eg,rg,ng,Xc=O(()=>{It(),Y(),j(),Hc={name:"Split",inputNames:["A"],inputTypes:[0]},qc=(t,e,a)=>{ng(e);let o=B.normalizeAxis(a.axis,e[0].dims.length),i=eg(t,e,o,a),d=[];for(let n=0;n<i;++n)d.push(t.run({...Hc,cacheHint:`${a.cacheKey};${n}`,get:()=>rg(t,e[0],a,o,n)},e));return d},jc=t=>{let e=t.attributes.getInt("axis",0),a=t.attributes.getInts("split",[]),o=t.outputs.length;return W({axis:e,split:a,numOutputs:o})},eg=(t,e,a,o)=>{let[,i]=$r.splitShape(e[0].dims,a,o.split,o.numOutputs);return i.length},rg=(t,e,a,o,i)=>{let[d,n]=$r.splitShape(e.dims,o,a.split,a.numOutputs),s=n[i],g=d[i],r=`
+      float process(int indices[${g.length}]) {
+        indices[${o}] += ${s};
+        return _A(indices);
+      }
+    `;return{...Hc,cacheHint:`${a.cacheKey}:${i}`,output:{dims:g,type:e.type,textureType:0},shaderSource:r}},ng=t=>{if(!t||t.length!==1)throw new Error("Split requires one input.");if(t[0].type!=="int8"&&t[0].type!=="uint8"&&t[0].type!=="int16"&&t[0].type!=="uint16"&&t[0].type!=="int32"&&t[0].type!=="uint32"&&t[0].type!=="float32"&&t[0].type!=="float64"&&t[0].type!=="bool")throw new Error("Invalid input type.")}}),Fi,Kc,Jc,og,ig,Yc=O(()=>{Y(),Fi=(t,e,a)=>{og(e);let o=B.squeezeShape(e[0].dims,a);return[t.reshapeUnpacked(e[0],o)]},Kc=(t,e)=>(ig(e),Fi(t,[e[0]],Array.from(e[1].integerData))),Jc=t=>t.attributes.getInts("axes"),og=t=>{if(!t||t.length!==1)throw new Error("Squeeze requires 1 input.");if(t[0].type==="string")throw new Error("invalid input tensor types.")},ig=t=>{if(!t||t.length!==2)throw new Error("Squeeze requires 2 inputs.");if(t[1].type!=="int32")throw new Error("Invalid input type.")}}),Zc,ag,sg,Qc=O(()=>{ut(),j(),Zc=(t,e)=>{sg(e);let a={name:"Sum",inputNames:e.map((o,i)=>`X${i}`),inputTypes:new Array(e.length).fill(0)};return[t.run({...a,get:()=>ag(t,e,a)},e)]},ag=(t,e,a)=>{let o=G(t.session.backend.glContext.version),i=e[0].dims.slice(),d=`
+      void main() {
+        vec4 result = ${e.map((n,s)=>`${o.texture2D}(X${s},TexCoords)`).join(" + ")};
+        ${o.output} = result;
+      }
+    `;return{...a,output:{dims:i,type:e[0].type,textureType:0},hasMain:!0,shaderSource:d}},sg=t=>{if(!t||t.length===0)throw new Error("Sum requires inputs.");let e=t[0].dims.length;for(let a=1;a<t.length;a++){if(e!==t[a].dims.length)throw new Error("Input shapes are mismatched.");for(let o=0;o<e;o++)if(t[0].dims[o]!==t[a].dims[o])throw new Error("Input shapes are not matched.")}if(t[0].type!=="float32"&&t[0].type!=="float64")throw new Error("Invalid input type.");for(let a=1;a<t.length;a++)if(t[0].type!==t[a].type)throw new Error("Input types are not matched.")}}),tp,ug,lg,ep=O(()=>{Rr(),j(),tp=(t,e)=>{lg(e);let a={name:"Tile",inputNames:["A"],inputTypes:[0]};return[t.run({...a,get:()=>ug(t,e,a)},e)]},ug=(t,e,a)=>{let o=e[0].dims.slice(),i=new Array(o.length),d=[];for(let g=0;g<o.length;g++)i[g]=o[g]*e[1].numberData[g],d.push(`inputIdx[${g}] = int(mod(float(outputIdx[${g}]), ${o[g]}.));`);let n=i.length,s=`
+      float process(int outputIdx[${n}]) {
+        int inputIdx[${n}];
+        ${d.join(`
+`)}
+        return _A(inputIdx);
+      }
+    `;return{...a,output:{dims:i,type:e[0].type,textureType:0},shaderSource:s}},lg=t=>{if(!t||t.length!==2)throw new Error("Tile requires 2 input.");if(t[1].dims.length!==1)throw new Error("The second input shape must 1 dimension.");if(t[1].dims[0]!==t[0].dims.length)throw new Error("Invalid input shape.");if(Pe.indexOf(t[0].type)===-1)throw new Error("Invalid input type.");if(t[1].type!=="int32"&&t[1].type!=="int16")throw new Error("Invalid repeat type.")}}),Ci,rp,np,fg,cg,op=O(()=>{Y(),Ci=(t,e,a)=>{fg(e);let o=B.unsqueezeShape(e[0].dims,a);return[t.reshapeUnpacked(e[0],o)]},rp=(t,e)=>(cg(e),Ci(t,[e[0]],Array.from(e[1].integerData))),np=t=>t.attributes.getInts("axes"),fg=t=>{if(!t||t.length!==1)throw new Error("Unsqueeze requires 1 input.");if(t[0].type==="string")throw new Error("invalid input tensor types.")},cg=t=>{if(!t||t.length!==2)throw new Error("Unsqueeze requires 2 inputs.");if(t[1].type!=="int32")throw new Error("Invalid input type.")}}),ip,ap=O(()=>{ml(),Pl(),Ll(),Nl(),Bn(),wf(),Af(),Df(),kf(),Nf(),Mf(),Wf(),Xf(),Fn(),Zf(),cc(),xc(),wc(),Ac(),Ec(),Bc(),Wc(),Xc(),Yc(),Qc(),ep(),Nn(),xi(),op(),Li(),ip=[["Abs","","6+",Rl],["Acos","","7+",Gl],["Add","","7+",bl],["And","","7+",gl],["Asin","","7+",Ml],["Atan","","7+",Ul],["AveragePool","","7+",tc,ec],["BatchNormalization","","7+",dl,hl],["Cast","","6+",El,Dl],["Ceil","","6+",Wl],["Clip","","6-10",gi,Vl],["Clip","","11+",zl],["Concat","","4+",Bl,Cl],["Conv","","1+",Oi,Si],["ConvTranspose","","1+",xf,Tf],["Cos","","7+",Hl],["Div","","7+",yl],["Dropout","","7+",yi],["DepthToSpace","","1+",Of,Sf],["Equal","","7+",xl],["Elu","","6+",ql,jl],["Exp","","6+",Xl],["Flatten","","1+",Pf,Ef],["Floor","","6+",Kl],["FusedConv","com.microsoft","1+",Oi,Si],["Gather","","1+",Lf,$f],["Gemm","","7-10",Ai,Ff],["Gemm","","11+",Ai,Cf],["GlobalAveragePool","","1+",nc,oc],["GlobalMaxPool","","1+",lc],["Greater","","7+",Tl],["Identity","","1+",yi],["ImageScaler","","1+",Rf,Gf],["InstanceNormalization","","6+",Vf,zf],["LeakyRelu","","6+",Jl,Yl],["Less","","7+",wl],["LRN","","1+",Hf,qf],["Log","","6+",Zl],["MatMul","","1+",pf,df],["MaxPool","","1+",ic,ac],["Mul","","7+",vl],["Neg","","6+",Ql],["Not","","1+",tf],["Or","","7+",Il],["Pad","","2-10",Pi,Kf],["Pad","","11+",Jf,Yf],["Pow","","7+",_l],["PRelu","","7+",Ol],["ReduceLogSum","","1+",gc,Ee],["ReduceMax","","1+",hc,Ee],["ReduceMean","","1+",dc,Ee],["ReduceMin","","1+",mc,Ee],["ReduceProd","","1+",bc,Ee],["ReduceSum","","1-12",pc,Ee],["ReduceSumSquare","","1+",yc,Ee],["Relu","","6+",ef],["Reshape","","5+",Tc],["Resize","","10",ki,Oc],["Resize","","11+",ki,Sc],["Shape","","1+",Pc],["Sigmoid","","6+",rf],["Sin","","7+",nf],["Slice","","10+",kc],["Slice","","1-9",Dc,Lc],["Softmax","","1-12",Rc,Gc],["Softmax","","13+",Uc,Mc],["Split","","2-12",qc,jc],["Sqrt","","6+",of],["Squeeze","","1-12",Fi,Jc],["Squeeze","","13+",Kc],["Sub","","7+",Sl],["Sum","","6+",Zc],["Tan","","7+",af],["Tanh","","6+",sf],["Tile","","6+",tp],["Transpose","","1+",je,If],["Upsample","","7-8",Ei,Ic],["Upsample","","9",Ei,_c],["Unsqueeze","","1-12",Ci,np],["Unsqueeze","","13+",rp],["Xor","","7+",Al]]});function up(t){let e={},a;for(;(a=sp.exec(t))!==null;){let o=a[3].split(",").map(i=>{let d=i.trim().split(" ");return d&&d.length===2?{type:d[0],name:d[1]}:null}).filter(i=>i!==null);e[a[2]]={params:o,body:a[4]}}for(let o in e){let i=pg.replace("__FUNC__",o),d=new RegExp(i,"gm");for(;(a=d.exec(t))!==null;){let n=a[1],s=a[2],g=a[3].split(","),r=n?`${n} ${s};`:"",A=e[o].body,l="";e[o].params.forEach((C,K)=>{C&&(l+=`${C.type} ${C.name} = ${g[K]};
+`)}),A=`${l}
+ ${A}`,A=A.replace("return",`${s} = `);let p=`
+      ${r}
+      {
+        ${A}
+      }
+      `;t=t.replace(a[0],p)}}return t=t.replace(sp,""),t}var sp,pg,lp=O(()=>{sp=/@inline[\s\n\r]+(\w+)[\s\n\r]+([0-9a-zA-Z_]+)\s*\(([^)]*)\)\s*{(([^}]|[\n\r])*)}/gm,pg="(\\w+)?\\s+([_0-9a-zA-Z]+)\\s+=\\s+__FUNC__\\((.*)\\)\\s*;"});function hr(t,e){let a=[],o=[];for(let i=0;i<t.length;++i)t[i]!==1&&(a.push(t[i]),o.push(i));return{newShape:a,keptDims:o}}function mg(t){if(t.length===0)return 1;let e=t[0];for(let a=1;a<t.length;a++)e*=t[a];return e}function fp(t){let e=Math.ceil(Math.sqrt(t));return[e,Math.ceil(t/e)]}var Un,Ni=O(()=>{Ut(),Y(),Un=class{constructor(t){this.maxTextureSize=t}computeTextureWH(t,e){let a=this.computeTexture(t,e);return e&&e.isPacked&&(a[0]/=2,a[1]/=2),e&&e.reverseWH?[a[1],a[0]]:a}computeTexture(t,e){let a=e&&e.isPacked;if(t.length===0)return a?[2,2]:[1,1];let o=this.maxTextureSize;if(e&&e.breakAxis!==void 0){let n=e.breakAxis>=t.length?1:t.slice(e.breakAxis).reduce((g,r)=>g*r),s=e.breakAxis<=0?1:t.slice(0,e.breakAxis).reduce((g,r)=>g*r);if(n>o||s>o)tt.verbose("TextureLayout",`Given width/height preferences were unattainable: shape:${t}, breakAxis:${e.breakAxis}`);else return[n,s]}let i=t.slice(0);a&&(o=o*2,i=i.map((n,s)=>s>=i.length-2?i[s]%2===0?i[s]:i[s]+1:i[s]),i.length===1&&(i=[2,i[0]])),i.length!==2&&(i=hr(i).newShape);let d=mg(i);return i.length<=1&&d<=o?[1,d]:i.length===2&&i[0]<=o&&i[1]<=o?i:i.length===3&&i[0]*i[1]<=o&&i[2]<=o?[i[0]*i[1],i[2]]:i.length===3&&i[0]<=o&&i[1]*i[2]<=o?[i[0],i[1]*i[2]]:i.length===4&&i[0]*i[1]*i[2]<=o&&i[3]<=o?[i[0]*i[1]*i[2],i[3]]:i.length===4&&i[0]<=o&&i[1]*i[2]*i[3]<=o?[i[0],i[1]*i[2]*i[3]]:a?fp(d/4).map(n=>n*2):fp(d)}}}),Vn,cp=O(()=>{Y(),Te(),ut(),Ni(),pe(),Vn=class extends Ht{constructor(t){super(t)}getFunctions(){return{...this.offsetToCoords(),...this.coordsToOffset(),...this.toVec(),...this.valueFrom(),...this.getCommonUtilFuncs(),...this.getInputsSamplingSnippets(),...this.getOutputSamplingSnippet()}}getCustomTypes(){return{}}offsetToCoords(){let t="offsetToCoords";return{offsetToCoords:new k(`
+      vec2 ${t}(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 t="coordsToOffset";return{coordsToOffset:new k(`
+      int ${t}(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;
+      }
+      `)}}getOutputSamplingSnippet(){let t=this.context.outputTextureLayout;return t.isPacked?this.getPackedOutputSamplingSnippet(t):this.getUnpackedOutputSamplingSnippet(t)}getPackedOutputSamplingSnippet(t){let e=t.unpackedShape,a=[t.width,t.height],o={},i="getOutputCoords";switch(e.length){case 0:o[i]=this.getOutputScalarCoords();break;case 1:o[i]=this.getOutputPacked1DCoords(e,a);break;case 2:o[i]=this.getOutputPacked2DCoords(e,a);break;case 3:o[i]=this.getOutputPacked3DCoords(e,a);break;default:o[i]=this.getOutputPackedNDCoords(e,a)}let d=`
+      void setOutput(vec4 val) {
+        ${G(this.context.glContext.version).output} = val;
+      }
+    `,n="floatTextureSetRGBA";return o[n]=new k(d),o}getUnpackedOutputSamplingSnippet(t){let e=t.unpackedShape,a=[t.width,t.height],o={},i="getOutputCoords";switch(e.length){case 0:o[i]=this.getOutputScalarCoords();break;case 1:o[i]=this.getOutputUnpacked1DCoords(e,a);break;case 2:o[i]=this.getOutputUnpacked2DCoords(e,a);break;case 3:o[i]=this.getOutputUnpacked3DCoords(e,a);break;case 4:o[i]=this.getOutputUnpacked4DCoords(e,a);break;case 5:o[i]=this.getOutputUnpacked5DCoords(e,a);break;case 6:o[i]=this.getOutputUnpacked6DCoords(e,a);break;default:throw new Error(`Unsupported output dimensionality: ${e.length}`)}let d=`
+        void setOutput(float val) {
+          ${G(this.context.glContext.version).output} = vec4(val, 0, 0, 0);
+        }
+    `,n="floatTextureSetR";return o[n]=new k(d),o}getOutputScalarCoords(){return new k(`
+      int getOutputCoords() {
+        return 0;
+      }
+    `)}getOutputPacked1DCoords(t,e){let a=e,o="";return a[0]===1?(o=`
+          int getOutputCoords() {
+            return 2 * int(TexCoords.y * ${a[1]}.0);
+          }
+        `,new k(o)):a[1]===1?(o=`
+          int getOutputCoords() {
+            return 2 * int(TexCoords.x * ${a[0]}.0);
+          }
+        `,new k(o)):(o=`
+        int getOutputCoords() {
+          ivec2 resTexRC = ivec2(TexCoords.xy *
+                                 vec2(${a[0]}, ${a[1]}));
+          return 2 * (resTexRC.y * ${a[0]} + resTexRC.x);
+        }
+      `,new k(o))}getOutputPacked2DCoords(t,e){let a="";if(Me.arraysEqual(t,e))return a=`
+        ivec2 getOutputCoords() {
+          return 2 * ivec2(TexCoords.xy * vec2(${e[0]}, ${e[1]}));
+        }
+      `,new k(a);let o=e,i=Math.ceil(t[1]/2);return a=`
+        ivec2 getOutputCoords() {
+          ivec2 resTexRC = ivec2(TexCoords.xy *
+                                vec2(${o[0]}, ${o[1]}));
+
+          int index = resTexRC.y * ${o[0]} + resTexRC.x;
+
+          // reverse r and c order for packed texture
+          int r = imod(index, ${i}) * 2;
+          int c = 2 * (index / ${i});
+
+          return ivec2(r, c);
+        }
+      `,new k(a)}getOutputPacked3DCoords(t,e){let a=[e[0],e[1]],o=Math.ceil(t[2]/2),i=o*Math.ceil(t[1]/2),d=`
+        ivec3 getOutputCoords() {
+          ivec2 resTexRC = ivec2(TexCoords.xy *
+                                vec2(${a[0]}, ${a[1]}));
+          int index = resTexRC.y * ${a[0]} + resTexRC.x;
+
+          int b = index / ${i};
+          index -= b * ${i};
+
+          // reverse r and c order for packed texture
+          int r = imod(index, ${o}) * 2;
+          int c = 2 * (index / ${o});
+
+          return ivec3(b, r, c);
+        }
+      `;return new k(d)}getOutputPackedNDCoords(t,e){let a=[e[0],e[1]],o=Math.ceil(t[t.length-1]/2),i=o*Math.ceil(t[t.length-2]/2),d=i,n="",s="b, r, c";for(let r=2;r<t.length-1;r++)d*=t[t.length-r-1],n=`
+      int b${r} = index / ${d};
+      index -= b${r} * ${d};
+    `+n,s=`b${r}, `+s;let g=`
+      ivec${t.length} getOutputCoords() {
+        ivec2 resTexRC = ivec2(TexCoords.xy *
+                              vec2(${a[0]}, ${a[1]}));
+        int index = resTexRC.y * ${a[0]} + resTexRC.x;
+
+        ${n}
+
+        int b = index / ${i};
+        index -= b * ${i};
+
+        // reverse r and c order for packed texture
+        int r = imod(index, ${o}) * 2;
+        int c = 2 * (index / ${o});
+
+        return ivec${t.length}(${s});
+      }
+    `;return new k(g)}getOutputUnpacked1DCoords(t,e){let a=`
+        int getOutputCoords() {
+          ivec2 resTexRC = ivec2(TexCoords.xy *
+                                vec2(${e[0]}, ${e[1]}));
+          return resTexRC.y * ${e[0]} + resTexRC.x;
+        }
+      `;return new k(a)}getOutputUnpacked2DCoords(t,e){let a=`
+        ivec2 getOutputCoords() {
+          ivec2 resTexRC = ivec2(TexCoords.xy *
+                                vec2(${e[0]}, ${e[1]}));
+          int index = resTexRC.y * ${e[0]} + resTexRC.x;
+          int r = index / ${t[1]};
+          int c = index - r * ${t[1]};
+          return ivec2(r, c);
+        }
+      `;return new k(a)}getOutputUnpacked3DCoords(t,e){let a="",o=t.length,i=null;o<2&&(i=[]),i=new Array(o-1),i[o-2]=t[o-1];for(let s=o-3;s>=0;--s)i[s]=i[s+1]*t[s+1];let d=["r","c","d"],n=i.map((s,g)=>{let r=`int ${d[g]} = index / ${s}`,A=g===i.length-1?`int ${d[g+1]} = index - ${d[g]} * ${s}`:`index -= ${d[g]} * ${s}`;return`${r}; ${A};`}).join("");return a=`
+        ivec3 getOutputCoords() {
+          ivec2 resTexRC = ivec2(TexCoords.xy *
+                                vec2(${e[0]}, ${e[1]}));
+          int index = resTexRC.y * ${e[0]} + resTexRC.x;
+          ${n}
+          return ivec3(r, c, d);
+        }
+      `,new k(a)}getOutputUnpacked4DCoords(t,e){let a="",o=t.length,i=null;o<2&&(i=[]),i=new Array(o-1),i[o-2]=t[o-1];for(let s=o-3;s>=0;--s)i[s]=i[s+1]*t[s+1];let d=["r","c","d","d2"],n=i.map((s,g)=>{let r=`int ${d[g]} = index / ${s}`,A=g===i.length-1?`int ${d[g+1]} = index - ${d[g]} * ${s}`:`index -= ${d[g]} * ${s}`;return`${r}; ${A};`}).join("");return a=`
+      ivec4 getOutputCoords() {
+          ivec2 resTexRC = ivec2(TexCoords.xy *
+                                vec2(${e[0]}, ${e[1]}));
+          int index = resTexRC.y * ${e[0]} + resTexRC.x;
+          ${n}
+          return ivec4(r, c, d, d2);
+        }
+      `,new k(a)}getOutputUnpacked5DCoords(t,e){let a="",o=t.length,i=null;o<2&&(i=[]),i=new Array(o-1),i[o-2]=t[o-1];for(let s=o-3;s>=0;--s)i[s]=i[s+1]*t[s+1];let d=["r","c","d","d2","d3"],n=i.map((s,g)=>{let r=`int ${d[g]} = index / ${s}`,A=g===i.length-1?`int ${d[g+1]} = index - ${d[g]} * ${s}`:`index -= ${d[g]} * ${s}`;return`${r}; ${A};`}).join("");return a=`
+      ivec5 getOutputCoords() {
+          ivec2 resTexRC = ivec2(TexCoords.xy *
+                                vec2(${e[0]}, ${e[1]}));
+          int index = resTexRC.y * ${e[0]} + resTexRC.x;
+          ${n}
+          return ivec5(r, c, d, d2, d3);
+        }
+      `,new k(a)}getOutputUnpacked6DCoords(t,e){let a="",o=t.length,i=null;o<2&&(i=[]),i=new Array(o-1),i[o-2]=t[o-1];for(let s=o-3;s>=0;--s)i[s]=i[s+1]*t[s+1];let d=["r","c","d","d2","d3","d4"],n=i.map((s,g)=>{let r=`int ${d[g]} = index / ${s}`,A=g===i.length-1?`int ${d[g+1]} = index - ${d[g]} * ${s}`:`index -= ${d[g]} * ${s}`;return`${r}; ${A};`}).join("");return a=`
+     ivec6 getOutputCoords() {
+         ivec2 resTexRC = ivec2(TexCoords.xy *
+                               vec2(${e[0]}, ${e[1]}));
+         int index = resTexRC.y * ${e[0]} + resTexRC.x;
+         ${n}
+         return ivec6(r, c, d, d2, d3, d4);
+       }
+     `,new k(a)}getCommonUtilFuncs(){let t={},e="uvFromFlat";t[e]=new k(`
+    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);
+    }
+    `),e="packedUVfrom1D",t[e]=new k(`
+      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);
+      }
+      `),e="packedUVfrom2D",t[e]=new k(`
+      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);
+      }
+      `),e="packedUVfrom3D",t[e]=new k(`
+      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);
+      }
+      `),e="sampleTexture";let a=G(this.context.glContext.version);return t[e]=new k(`
+        float sampleTexture(sampler2D textureSampler, vec2 uv) {
+            return ${a.texture2D}(textureSampler, uv).r;
+        }`),t}getInputsSamplingSnippets(){let t={},e=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach((a,o)=>{let i=this.context.inputTextureLayouts[o],d=An(a);i.isPacked?t[d]=this.getPackedSamplerFromInput(d,a,i):t[d]=this.getUnpackedSamplerFromInput(d,a,i);let n=Yu(a);i.unpackedShape.length<=e.unpackedShape.length&&(i.isPacked?t[n]=this.getPackedSamplerAtOutputCoords(n,i,e,a):t[n]=this.getUnpackedSamplerAtOutputCoords(n,i,e,a))}),t}getPackedSamplerAtOutputCoords(t,e,a,o){let i=e.unpackedShape,d=a.unpackedShape,n=An(o),s=i.length,g=d.length,r=kt.getBroadcastDims(i,d),A=Bt(g),l=g-s,p,C=ne();s===0?p="":g<2&&r.length>=1?p="coords = 0;":p=r.map(y=>`coords.${C[y+l]} = 0;`).join(`
+`);let K="";g<2&&s>0?K="coords":K=i.map((y,f)=>`coords.${C[f+l]}`).join(", ");let c="return outputValue;",m=B.size(i)===1,X=B.size(d)===1;if(s===1&&!m&&!X)c=`
+        return vec4(outputValue.xy, outputValue.xy);
+      `;else if(m&&!X)g===1?c=`
+          return vec4(outputValue.x, outputValue.x, 0., 0.);
+        `:c=`
+          return vec4(outputValue.x);
+        `;else if(r.length){let y=s-2,f=s-1;r.indexOf(y)>-1&&r.indexOf(f)>-1?c="return vec4(outputValue.x);":r.indexOf(y)>-1?c="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":r.indexOf(f)>-1&&(c="return vec4(outputValue.xx, outputValue.zz);")}let h=`
+        int lastDim = coords.${C[g-1]};
+        coords.${C[g-1]} = coords.${C[g-2]};
+        coords.${C[g-2]} = lastDim;
+      `,E=`
+      vec4 ${t}() {
+        ${A} coords = getOutputCoords();
+        ${h}
+        ${p}
+        vec4 outputValue = ${n}(${K});
+        ${c}
+      }
+    `;return new k(E,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(t,e,a,o){let i=[a.width,a.height],d=[e.width,e.height],n=e.unpackedShape.length,s=a.unpackedShape.length,g=e.unpackedShape,r=a.unpackedShape,A=An(o);if(n===s&&Me.arraysEqual(d,i)){let h=`
+          float ${t}() {
+            return sampleTexture(${o}, TexCoords);
+          }
+        `;return new k(h,["coordinates.sampleTexture"])}let l=Bt(s),p=kt.getBroadcastDims(g,r),C=s-n,K,c=ne();n===0?K="":s<2&&p.length>=1?K="coords = 0;":K=p.map(h=>`coords.${c[h+C]} = 0;`).join(`
+`);let m="";s<2&&n>0?m="coords":m=e.unpackedShape.map((h,E)=>`coords.${c[E+C]}`).join(", ");let X=`
+        float ${t}() {
+          ${l} coords = getOutputCoords();
+          ${K}
+          return ${A}(${m});
+        }
+      `;return new k(X,["coordinates.getOutputCoords"])}getPackedSamplerFromInput(t,e,a){switch(a.unpackedShape.length){case 0:return this.getPackedSamplerScalar(t,e);case 1:return this.getPackedSampler1D(t,e,a);case 2:return this.getPackedSampler2D(t,e,a);case 3:return this.getPackedSampler3D(t,e,a);default:return this.getPackedSamplerND(t,e,a)}}getUnpackedSamplerFromInput(t,e,a){let o=a.unpackedShape;switch(o.length){case 0:return this.getUnpackedSamplerScalar(t,e,a);case 1:return this.getUnpackedSampler1D(t,e,a);case 2:return this.getUnpackedSampler2D(t,e,a);case 3:return this.getUnpackedSampler3D(t,e,a);case 4:return this.getUnpackedSampler4D(t,e,a);case 5:return this.getUnpackedSampler5D(t,e,a);case 6:return this.getUnpackedSampler6D(t,e,a);default:throw new Error(`Unsupported dimension ${o.length}-D`)}}getPackedSamplerScalar(t,e){let a=G(this.context.glContext.version),o=`
+          vec4 ${t}() {
+            return ${a.texture2D}(${e}, halfCR);
+          }
+        `;return new k(o)}getPackedSampler1D(t,e,a){let o=[a.width,a.height],i=[o[1],o[0]],d=G(this.context.glContext.version),n=`vec4 ${t}(int index) {
+      vec2 uv = packedUVfrom1D(
+      ${i[0]}, ${i[1]}, index);
+      return ${d.texture2D}(${e}, uv);
+    }`;return new k(n,["coordinates.packedUVfrom1D"])}getPackedSampler2D(t,e,a){let o=a.unpackedShape,i=[a.width,a.height],d=G(this.context.glContext.version),n=i[0],s=i[1];if(i!=null&&Me.arraysEqual(o,i)){let l=`vec4 ${t}(int row, int col) {
+        vec2 uv = (vec2(col, row) + halfCR) / vec2(${s}.0, ${n}.0);
+        return ${d.texture2D}(${e}, uv);
+      }`;return new k(l)}let g=i,r=Math.ceil(o[1]/2),A=`vec4 ${t}(int row, int col) {
+      vec2 uv = packedUVfrom2D(${g[1]}, ${g[0]}, ${r}, row, col);
+      return ${d.texture2D}(${e}, uv);
+    }`;return new k(A,["coordinates.packedUVfrom2D"])}getPackedSampler3D(t,e,a){let o=a.unpackedShape,i=[a.width,a.height],d=[i[0],i[1]],n=G(this.context.glContext.version);if(o[0]===1){let p=o.slice(1),C=[1,2],K=lr(o,p),c=["b","row","col"],m=JSON.parse(JSON.stringify(a));m.unpackedShape=K;let X=this.getPackedSamplerFromInput(t,e,m),h=`${X.routineBody}
+      vec4 ${t}(int b, int row, int col) {
+        return ${t}(${fr(c,C)});
+      } `;return new k(h,X.dependencies)}let s=d[0],g=d[1],r=Math.ceil(o[2]/2),A=r*Math.ceil(o[1]/2),l=`vec4 ${t}(int b, int row, int col) {
+      vec2 uv = packedUVfrom3D(
+        ${g}, ${s}, ${A}, ${r}, b, row, col);
+      return ${n.texture2D}(${e}, uv);}`;return new k(l,["coordinates.packedUVfrom3D"])}getPackedSamplerND(t,e,a){let o=a.unpackedShape,i=o.length,d=[a.width,a.height],n=G(this.context.glContext.version),s=[d[0],d[1]],g=s[1],r=s[0],A=Math.ceil(o[i-1]/2),l=A*Math.ceil(o[i-2]/2),p="int b, int row, int col",C=`b * ${l} + (row / 2) * ${A} + (col / 2)`;for(let c=2;c<i-1;c++)p=`int b${c}, `+p,l*=o[i-c-1],C=`b${c} * ${l} + `+C;let K=`vec4 ${t}(${p}) {
+      int index = ${C};
+      int texR = index / ${r};
+      int texC = index - texR * ${r};
+      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${r}, ${g});
+      return ${n.texture2D}(${e}, uv);
+    }`;return new k(K)}getUnpackedSamplerScalar(t,e,a){let[o,i]=[a.width,a.height];if(o===1&&i===1){let n=`
+          float ${t}() {
+            return sampleTexture(${e}, halfCR);
+          }
+        `;return new k(n,["coordinates.sampleTexture"])}let d=`
+        float ${t}() {
+          int offset_${e} = coordsToOffset(TexCoords, ${o}, ${i});
+          vec2 uv = uvFromFlat(${o}, ${i}, offset_${e});
+          return sampleTexture(${e}, uv);
+        }
+      `;return new k(d,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler1D(t,e,a){let o=a.width,i=a.height;if(i===1&&o===1){let n=`
+        float ${t}(int index) {
+          return sampleTexture(${e}, halfCR);
+        }
+      `;return new k(n,["coordinates.sampleTexture"])}if(i===1){let n=`
+          float ${t}(int index) {
+            vec2 uv = vec2((float(index) + 0.5) / ${o}.0, 0.5);
+            return sampleTexture(${e}, uv);
+          }
+        `;return new k(n,["coordinates.sampleTexture"])}if(o===1){let n=`
+          float ${t}(int index) {
+            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${i}.0);
+            return sampleTexture(${e}, uv);
+          }
+        `;return new k(n,["coordinates.sampleTexture"])}let d=`
+        float ${t}(int index) {
+          vec2 uv = uvFromFlat(${o}, ${i}, index);
+          return sampleTexture(${e}, uv);
+        }
+      `;return new k(d,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler2D(t,e,a){let o=a.unpackedShape,i=[a.height,a.width];if(i!=null&&Me.arraysEqual(o,i)){let l=i[1],p=i[0],C=`
+          float ${t}(int row, int col) {
+            vec2 uv = (vec2(row, col) + halfCR) / vec2(${l}.0, ${p}.0);
+            return sampleTexture(${e}, uv);
+          }
+        `;return new k(C,["coordinates.sampleTexture"])}let{newShape:d,keptDims:n}=hr(o),s=d;if(s.length<o.length){let l=lr(o,s),p=JSON.parse(JSON.stringify(a));p.unpackedShape=l;let C=["col","row"],K=`
+          ${this.getUnpackedSamplerFromInput(t,e,p).routineBody}
+          float ${t}(int row, int col) {
+            return ${t}(${fr(C,n)});
+          }
+        `;return new k(K,["coordinates.sampleTexture"])}let g=i[1],r=i[0];if(r===1){let l=`
+          float ${t}(int row, int col) {
+            int offset_${e} = coordsToOffset(TexCoords, ${g}, ${r});
+            float index = dot(vec3(row, col, offset_${e}), vec3(${o[1]}, 1, 1));
+            vec2 uv = vec2(0.5, (index + 0.5) / ${g}.0);
+            return sampleTexture(${e}, uv);
+          }
+        `;return new k(l,["coordinates.sampleTexture","coordinates.coordsToOffset"])}if(g===1){let l=`
+          float ${t}(int row, int col) {
+            int offset_${e} = coordsToOffset(TexCoords, ${g}, ${r});
+            float index = dot(vec3(row, col, offset_${e}), vec3(${o[1]}, 1, 1));
+            vec2 uv = vec2((index + 0.5) / ${r}.0, 0.5);
+            return sampleTexture(${e}, uv);
+          }
+        `;return new k(l,["coordinates.sampleTexture","coordinates.coordsToOffset"])}let A=`
+        float ${t}(int row, int col) {
+          int index = col * ${o[1]} + row;
+          vec2 uv = uvFromFlat(${g}, ${r}, index);
+          return sampleTexture(${e}, uv);
+        }
+      `;return new k(A,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler3D(t,e,a){let o=a.unpackedShape,i=o[1]*o[2],d=o[2],{newShape:n,keptDims:s}=hr(o),g=n;if(g.length<o.length){let p=lr(o,g),C=["batch","col","row"],K=JSON.parse(JSON.stringify(a));K.unpackedShape=p;let c=this.getUnpackedSamplerFromInput(t,e,K),m=s.reverse(),X=`
+          ${c.routineBody}
+          float ${t}(int batch, int row, int col) {
+            return ${t}(${fr(C,m)});
+          }
+        `;return new k(X,c.dependencies)}let r=a.width,A=a.height,l=`
+          float ${t}(int depth, int row, int col) {
+            // Explicitly use integer operations as dot() only works on floats.
+            int index = depth * ${i} + col * ${d} + row;
+            vec2 uv = uvFromFlat(${r}, ${A}, index);
+            return sampleTexture(${e}, uv);
+          }
+      `;return new k(l,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler4D(t,e,a){let o=a.unpackedShape,i=o[3],d=o[2]*i,n=o[1]*d,s=a.width,g=a.height,r=`
+        float ${t}(int row, int col, int depth, int depth2) {
+          int index = row * ${n} + col * ${d} +
+              depth2 * ${i} + depth;
+          vec2 uv = uvFromFlat(${s}, ${g}, index);
+          return sampleTexture(${e}, uv);
+        }
+      `;return new k(r,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler5D(t,e,a){let o=a.unpackedShape,i=o[4],d=o[3]*i,n=o[2]*d,s=o[1]*n,{newShape:g,keptDims:r}=hr(o);if(g.length<o.length){let C=lr(o,g),K=["row","col","depth","depth2","depth3"],c=JSON.parse(JSON.stringify(a));c.unpackedShape=C;let m=`
+          ${this.getUnpackedSamplerFromInput(t,e,c).routineBody}
+          float ${t}(int row, int col, int depth, int depth2, int depth3) {
+            return ${t}(${fr(K,r)});
+          }
+        `;return new k(m,["coordinates.sampleTexture","coordinates.uvFromFlat"])}let A=a.width,l=a.height,p=`
+        float ${t}(int row, int col, int depth, int depth2, int depth3) {
+          int index = row * ${s} + col * ${n} + depth * ${d} +
+          depth3 * ${i} + depth2;
+          vec2 uv = uvFromFlat(${A}, ${l}, index);
+          return sampleTexture(${e}, uv);
+        }
+      `;return new k(p,["coordinates.sampleTexture","coordinates.uvFromFlat"])}getUnpackedSampler6D(t,e,a){let o=a.unpackedShape,i=o[5],d=o[4]*i,n=o[3]*d,s=o[2]*n,g=o[1]*s,{newShape:r,keptDims:A}=hr(o);if(r.length<o.length){let K=lr(o,r),c=["row","col","depth","depth2","depth3","depth4"],m=JSON.parse(JSON.stringify(a));m.unpackedShape=K;let X=`
+            ${this.getUnpackedSamplerFromInput(t,e,m).routineBody}
+            float ${t}(int row, int col, int depth,
+              int depth2, int depth3, int depth4) {
+              return ${t}(${fr(c,A)});
+            }
+          `;return new k(X,["coordinates.sampleTexture","coordinates.uvFromFlat"])}let l=a.width,p=a.height,C=`
+          float ${t}(int row, int col, int depth,
+            int depth2, int depth3, int depth4) {
+            int index = row * ${g} + col * ${s} + depth * ${n} +
+            depth2 * ${d} + depth3 * ${i} + depth4;
+            vec2 uv = uvFromFlat(${l}, ${p}, index);
+            return sampleTexture(${e}, uv);
+          }
+        `;return new k(C,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}toVec(){let t=this.context.outputTextureLayout,e=t.shape.length,a=t.strides,o=t.width,i=t.height,d=[];for(let s=0;s<e-1;++s)d.push(`
+        c[${s}] = offset / ${a[s]};`),d.push(`
+        offset -= c[${s}] * ${a[s]};`);d.push(`
+        c[${e-1}] = offset;`);let n=`
+      void toVec(vec2 texCoords, out int c[${e}]) {
+        int offset = coordsToOffset(texCoords, ${o}, ${i});
+        ${d.join("")}
+      }
+      void toVec(int offset, out int c[${e}]) {
+        ${d.join("")}
+      }
+    `;return{toVec:new k(n,["coordinates.coordsToOffset"])}}valueFrom(){let t={};return this.context.programInfo.inputNames.forEach((e,a)=>{let o=this.context.inputTextureLayouts[a],i=(o.unpackedShape.length>0?o.unpackedShape:o.shape).length,d=`_${e}`;t[d]=new k(this.getValueFromSingle(e,i,o.width,o.height,!1),[`shapeUtils.indicesToOffset${d}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),d=d+"_T",t[d]=new k(this.getValueFromSingle(e,i,o.width,o.height,!0),[`shapeUtils.indicesToOffset${d}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"])}),t}getValueFromSingle(t,e,a,o,i){let d=`_${t}`;i&&(d=d+"_T");let n=G(this.context.glContext.version);return`
+        float ${d}(int m[${e}]) {
+          int offset = indicesToOffset${d}(m);
+          vec2 coords = offsetToCoords(offset, ${a}, ${o});
+          float value = getColorAsFloat(${n.texture2D}(${t}, coords));
+          return value;
+        }
+        `}getPackedValueFrom(t,e,a,o,i){let d=`_${t}_Pack`;i&&(d=d+"_T");let n=G(this.context.glContext.version);return`
+        vec4 ${d}(int m[${e}]) {
+          int offset = indicesToOffset_${t}(m);
+          vec2 coords = offsetToCoords(offset, ${a}, ${o});
+          return ${n.texture2D}(${t}, coords);
+        }
+        `}}}),zn,pp=O(()=>{Te(),zn=class Ad extends Ht{constructor(e){super(e)}getFunctions(){return{...this.encodeFloat32(),...this.decodeFloat32()}}getCustomTypes(){return{}}encodeFloat32(){return{encode:new k(`highp vec4 encode(highp float f) {
+        return vec4(f, 0.0, 0.0, 0.0);
+      }
+        `)}}decodeFloat32(){return{decode:new k(`highp float decode(highp vec4 rgba) {
+        return rgba.r;
+      }
+        `)}}encodeUint8(){let e=Ad.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new k(`
+      highp vec4 encode(highp float f) {
+        highp float F = abs(f);
+        highp float Sign = step(0.0,-f);
+        highp float Exponent = floor(log2(F));
+        highp float Mantissa = (exp2(- Exponent) * F);
+        Exponent = floor(log2(F) + 127.0) + floor(log2(Mantissa));
+        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)));
+        rgba[3] = floor(exp2(23.0)*mod(Mantissa,exp2(-15.0)));
+        ${e}
+        rgba = rgba / 255.0; // values need to be normalized to [0,1]
+        return rgba;
+    }
+        `)}}decodeUint8(){let e=Ad.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{decode:new k(`
+        highp float decode(highp vec4 rgba) {
+          rgba = rgba * 255.0; // values need to be de-normalized from [0,1] to [0,255]
+          ${e}
+          highp float Sign = 1.0 - step(128.0,rgba[0])*2.0;
+          highp float Exponent = 2.0 * mod(rgba[0],128.0) + step(128.0,rgba[1]) - 127.0;
+          highp float Mantissa = mod(rgba[1],128.0)*65536.0 + rgba[2]*256.0 +rgba[3] + float(0x800000);
+          highp float Result =  Sign * exp2(Exponent) * (Mantissa * exp2(-23.0 ));
+          return Result;
+      }
+        `)}}static isLittleEndian(){let e=new ArrayBuffer(4),a=new Uint32Array(e),o=new Uint8Array(e);if(a[0]=3735928559,o[0]===239)return!0;if(o[0]===222)return!1;throw new Error("unknown endianness")}}}),Wn,dp=O(()=>{Te(),ut(),Wn=class extends Ht{constructor(t){super(t)}getFunctions(){return{...this.setFragColor(),...this.getColorAsFloat()}}getCustomTypes(){return{}}setFragColor(){let t=G(this.context.glContext.version);return{setFragColor:new k(`
+        void setFragColor(float value) {
+            ${t.output} = encode(value);
+        }
+        `,["encoding.encode"])}}getColorAsFloat(){return{getColorAsFloat:new k(`
+        float getColorAsFloat(vec4 color) {
+            return decode(color);
+        }
+        `,["encoding.decode"])}}}}),Hn,hp=O(()=>{Te(),Hn=class Dr extends Ht{constructor(e){super(e)}getFunctions(){return{...this.bcastIndex(),...this.bcastMatmulIndex(),...this.offsetToIndices(),...this.indicesToOffset(),...this.incrementIndices()}}getCustomTypes(){return{}}bcastIndex(){let e=this.context.outputTextureLayout.shape.length,a={};return this.context.programInfo.inputNames.forEach((o,i)=>{let d=this.context.inputTextureLayouts[i].unpackedShape;if(d.length<=e){let n=d.length,s=e-n,g=`bcastIndices_${o}`,r="";for(let l=0;l<n;++l)r+=`
+          realIndices[${l}] = int( mod(float(bcastedIndices[${s+l}]), ${d[l]}.0) );
+          `;let A=`
+        void ${g} (int bcastedIndices[${e}], out int realIndices[${n}]) {
+          ${r}
+        }
+        `;a[g]=new k(A)}}),a}bcastMatmulIndex(){let e=this.context.outputTextureLayout.shape.length,a={};return this.context.programInfo.inputNames.forEach((o,i)=>{let d=this.context.inputTextureLayouts[i].shape;if(!(d.length<2||d.length>e)){let n=d.length,s=e-n,g=`bcastMatmulIndices_${o}`,r="";for(let l=0;l<n-2;++l)r+=`
+          realIndices[${l}] = int( mod(float(bcastedIndices[${s+l}]), ${d[l]}.0) );
+          `;let A=`
+        void ${g}(int bcastedIndices[${e}], out int realIndices[${n}]) {
+          ${r}
+          realIndices[${n-1}] = bcastedIndices[${e-1}];
+          realIndices[${n-2}] = bcastedIndices[${e-2}];
+        }
+        `;a[g]=new k(A)}}),a}indicesToOffset(){let e={};return this.context.programInfo.inputNames.forEach((a,o)=>{let i=this.context.inputTextureLayouts[o].shape,d=this.context.inputTextureLayouts[o].strides,n=i.length,s=`indicesToOffset_${a}`;e[s]=new k(Dr.indexToOffsetSingle(s,n,d)),s=`indicesToOffset_${a}_T`,e[s]=new k(Dr.indexToOffsetSingle(s,n,d.slice().reverse()))}),e}static indexToOffsetSingle(e,a,o){let i="";for(let d=a-1;d>=0;--d)i+=`
+        offset += indices[${d}] * ${o[d]};
+        `;return`
+      int ${e}(int indices[${a}]) {
+        int offset = 0;
+        ${i}
+        return offset;
+      }
+      `}offsetToIndices(){let e={};return this.context.programInfo.inputNames.forEach((a,o)=>{let i=this.context.inputTextureLayouts[o].shape,d=this.context.inputTextureLayouts[o].strides,n=i.length,s=`offsetToIndices_${a}`;e[s]=new k(Dr.offsetToIndicesSingle(s,n,d)),s=`offsetToIndices_${a}_T`,e[s]=new k(Dr.offsetToIndicesSingle(s,n,d.slice().reverse()))}),e}static offsetToIndicesSingle(e,a,o){let i=[];for(let d=0;d<a-1;++d)i.push(`
+      indices[${d}] = offset / ${o[d]};`),i.push(`
+        offset -= indices[${d}] * ${o[d]};`);return i.push(`
+      indices[${a-1}] = offset;`),`
+      void ${e}(int offset, out int indices[${a}]) {
+        ${i.join("")}
+      }
+      `}incrementIndices(){let e={};return this.context.programInfo.inputNames.forEach((a,o)=>{let i=this.context.inputTextureLayouts[o].shape,d=i.length,n=`incrementIndices_${a}`,s="";for(let r=0;r<d;++r)s+=`
+        shape[${r}] = ${i[r]};`;let g=`
+        void ${n}(int axis, out int indices[${d}]) {
+          int shape[${d}];
+          ${s};
+          for(int i = ${d} -1 ; i >= 0; --i) {
+            if(i > axis) continue;
+            indices[i] += 1;
+            if(indices[i] < shape[i]) {
+              break;
+            }
+            indices[i] = 0;
+          }
+        }
+        `;e[n]=new k(g)}),e}}}),qn,mp=O(()=>{Te(),qn=class extends Ht{constructor(t){super(t)}getCustomTypes(){return{}}getFunctions(){return{...this.binaryVecFunctions(),...this.copyVec(),...this.setVecItem(),...this.getVecItem()}}binaryVecFunctions(){let t=this.context.outputTextureLayout.shape.length,e={add:"+=",sub:"-=",mul:"*=",div:"/="},a={};for(let o in e){let i=`${o}Vec`,d="";for(let s=0;s<t;++s)d+=`
+          dest[${s}] ${e[o]} src[${s}];
+          `;let n=`
+        void ${i}(int src[${t}], out int dest[${t}]) {
+          ${d}
+        }
+        `;a[i]=new k(n)}return a}copyVec(){let t=this.context.outputTextureLayout.shape.length,e="";for(let o=0;o<t;++o)e+=`
+        dest[${o}] = src[${o}];
+        `;let a=`
+      void copyVec(int src[${t}], out int dest[${t}]) {
+        ${e}
+      }
+      `;return{copyVec:new k(a)}}setVecItem(){let t=this.context.outputTextureLayout.shape.length,e=`
+        if(index < 0)
+            index =${t} + index;
+        if (index == 0)
+            m[0] = value;
+        `;for(let o=1;o<t-1;++o)e+=`
+        else if (index == ${o})
+            m[${o}] = value;
+            `;e+=`
+        else
+            m[${t-1}] = value;
+        `;let a=`
+      void setVecItem(out int m[${t}], int index, int value) {
+        ${e}
+      }
+        `;return{setVecItem:new k(a)}}getVecItem(){let t=this.context.outputTextureLayout.shape.length,e=`
+        if(index < 0)
+            index = ${t} + index;
+        if (index == 0)
+            return m[0];
+      `;for(let o=1;o<t-1;++o)e+=`
+        else if (index == ${o})
+            return m[${o}];
+      `;e+=`
+        else
+            return m[${t-1}];
+        `;let a=`
+      int getVecItem(int m[${t}], int index) {
+        ${e}
+      }
+    `;return{getVecItem:new k(a)}}}}),Ri,bp=O(()=>{cp(),pp(),dp(),hp(),mp(),Ri={encoding:zn,fragcolor:Wn,vec:qn,shapeUtils:Hn,coordinates:Vn}}),jn,gp=O(()=>{Te(),lp(),bp(),ut(),jn=class{constructor(t,e,a,o){this.libs={},this.glslLibRoutineDependencyGraph={},this.context=new Ln(t,e,a,o),Object.keys(Ri).forEach(d=>{let n=new Ri[d](this.context);this.libs[d]=n});let i=this.glslLibRoutineDependencyGraph;for(let d in this.libs){let n=this.libs[d].getFunctions();for(let s in n){let g=d+"."+s,r;i[g]?(r=i[g],r.routineBody=n[s].routineBody):(r=new Nr(g,n[s].routineBody),i[g]=r);let A=n[s].dependencies;if(A)for(let l=0;l<A.length;++l)if(i[A[l]])r.addDependency(i[A[l]]);else{let p=new Nr(A[l]);i[A[l]]=p,r.addDependency(p)}}}}preprocess(){let t=this.context.programInfo,e=t.shaderSource;return this.context.programInfo.hasMain||(e=`${e}
+      ${Ju(this.context.glContext.version,this.context.outputTextureLayout.shape.length)}`),e=up(e),`${Ku(this.context.glContext.version)}
+    ${this.getUniforms(t.inputNames,t.variables)}
+    ${this.getImports(e)}
+    ${e}`}getImports(t){let e=this.selectGlslLibRoutinesToBeIncluded(t);if(e.length===0)return"";let a="";for(let o=0;o<e.length;++o)if(e[o].routineBody)a+=e[o].routineBody+`
+`;else throw new Error(`Missing body for the Glsl Library routine: ${e[o].name}`);return a}selectGlslLibRoutinesToBeIncluded(t){let e=[];return Object.keys(this.glslLibRoutineDependencyGraph).forEach(a=>{let o=a.split(".")[1];t.indexOf(o)!==-1&&e.push(this.glslLibRoutineDependencyGraph[a])}),$n.returnOrderedNodes(e)}getUniforms(t,e){let a=[];if(t)for(let o of t)a.push(`uniform sampler2D ${o};`);if(e)for(let o of e)a.push(`uniform ${o.type} ${o.name}${o.arrayLength?`[${o.arrayLength}]`:""};`);return a.join(`
+`)}}}),Xn,yp=O(()=>{Yt(),Ut(),gp(),ut(),Xn=class{constructor(t,e,a){this.profiler=t,this.glContext=e,this.textureLayoutStrategy=a,this.repo=new Map,this.attributesBound=!1}getArtifact(t){return this.repo.get(t)}setArtifact(t,e){this.repo.set(t,e)}run(t,e,a){this.profiler.event("op",`ProgramManager.run ${t.programInfo.name??"unknown kernel"}`,()=>{let o=this.glContext.gl,i=t.program;o.useProgram(i);try{this.bindOutput(a),this.attributesBound||this.bindAttributes(t.attribLocations),this.bindUniforms(t.uniformLocations,t.programInfo.variables??[],e)}catch(d){throw tt.error("ProgramManager",t.programInfo.shaderSource),d}this.profiler.event("backend","GlContext.draw()",()=>{this.glContext.draw()})},this.glContext)}dispose(){this.vertexShader&&this.glContext.deleteShader(this.vertexShader),this.repo.forEach(t=>this.glContext.deleteProgram(t.program))}build(t,e,a){return this.profiler.event("backend","ProgramManager.build",()=>{let o=new jn(this.glContext,t,e,a),i=o.preprocess(),d=this.compile(i);return{programInfo:t,program:d,uniformLocations:this.getUniformLocations(d,o.context.programInfo.inputNames,o.context.programInfo.variables),attribLocations:this.getAttribLocations(d)}})}compile(t){if(!this.vertexShader){tt.verbose("ProrgramManager","Compiling and caching Vertex shader for the first time");let o=Xu(this.glContext.version);this.vertexShader=this.glContext.compileShader(o,this.glContext.gl.VERTEX_SHADER)}z.debug&&tt.verbose("ProrgramManager",`FragShader:
+${t}
+`);let e=this.glContext.compileShader(t,this.glContext.gl.FRAGMENT_SHADER),a=this.glContext.createProgram(this.vertexShader,e);return this.glContext.deleteShader(e),a}bindOutput(t){let e=t.width,a=t.height;tt.verbose("ProrgramManager",`Binding output texture to Framebuffer: w/h=${e}/${a}, shape=${t.shape}, type=${t.tensor.type}`),this.glContext.attachFramebuffer(t.texture,e,a)}bindAttributes(t){let e=t.position,a=t.textureCoord;this.glContext.setVertexAttributes(e,a),this.attributesBound=!0}bindUniforms(t,e,a){var d;let o=this.glContext.gl,i=0;for(let{name:n,type:s,location:g,arrayLength:r}of t){let A=(d=e.find(l=>l.name===n))==null?void 0:d.data;if(s!=="sampler2D"&&!A)throw new Error(`variable '${n}' does not have data defined in program info`);switch(s){case"sampler2D":this.bindTexture(a[i],g,i),i++;break;case"float":r?o.uniform1fv(g,A):o.uniform1f(g,A);break;case"int":r?o.uniform1iv(g,A):o.uniform1i(g,A);break;default:throw new Error(`Uniform not implemented: ${s}`)}}}bindTexture(t,e,a){this.glContext.bindTextureToUniform(t.texture,a,e)}getAttribLocations(t){return{position:this.getAttribLocation(t,"position"),textureCoord:this.getAttribLocation(t,"textureCoord")}}getUniformLocations(t,e,a){let o=[];if(e)for(let i of e)o.push({name:i,type:"sampler2D",location:this.getUniformLocation(t,i)});if(a)for(let i of a)o.push({...i,location:this.getUniformLocation(t,i.name)});return o}getUniformLocation(t,e){let a=this.glContext.gl.getUniformLocation(t,e);if(a===null)throw new Error(`Uniform ${e} not found.`);return a}getAttribLocation(t,e){return this.glContext.gl.getAttribLocation(t,e)}}}),Kn,xp=O(()=>{Ut(),Fr(),Kn=class{constructor(t,e,a,o){this.glContext=t,this.layoutStrategy=e,this.profiler=a,this.config=o,this.pendingRead=new Map,o.reuseTextures&&(this.inUseTextures=new Map,this.idleTextures=new Map,this.textureLookup=new Map)}createTextureFromLayout(t,e,a,o){let i=this.toEncoderType(t),d=this.glContext.getEncoder(i,e.channels||1,o);if(e.isPacked&&o===1)throw new Error("not implemented");let n=e.width,s=e.height,g,r;if(this.config.reuseTextures){g=`${n}x${s}_${d.format}_${d.internalFormat}_${d.textureType}`,r=this.inUseTextures.get(g),r||(r=[],this.inUseTextures.set(g,r));let l=this.idleTextures.get(g);if(l&&l.length>0){let p=l.pop();return r.push(p),o===1&&this.glContext.updateTexture(p,n,s,d,this.toTextureData(t,a)),p}}tt.verbose("TextureManager",`Creating new texture of size ${e.width}x${e.height}`);let A=this.glContext.allocateTexture(n,s,d,this.toTextureData(t,a));return this.config.reuseTextures&&(r.push(A),this.textureLookup.set(A,g)),A}readTexture(t,e,a){return a||(a=1),this.profiler.event("backend","TextureManager.readTexture",()=>{let o=t.shape.reduce((d,n)=>d*n)*a,i=this.glContext.readTexture(t.texture,t.width,t.height,o,this.toEncoderType(e),a);return this.toTensorData(e,i)})}async readTextureAsync(t,e,a){let o=t.tensor.dataId;if(a||(a=1),this.pendingRead.has(o)){let i=this.pendingRead.get(o);return new Promise(d=>i==null?void 0:i.push(d))}return this.profiler.event("backend","TextureManager.readTextureAsync",async()=>{this.pendingRead.set(o,[]);let i=t.shape.reduce((g,r)=>g*r)*a;await this.glContext.createAndWaitForFence();let d=this.glContext.readTexture(t.texture,t.width,t.height,i,this.toEncoderType(e),a),n=this.toTensorData(e,d),s=this.pendingRead.get(o);return this.pendingRead.delete(o),s==null||s.forEach(g=>g(n)),n})}readUint8TextureAsFloat(t){return this.profiler.event("backend","TextureManager.readUint8TextureAsFloat",()=>{let e=t.shape.reduce((o,i)=>o*i),a=this.glContext.readTexture(t.texture,t.width,t.height,e*4,"byte",4);return new Float32Array(a.buffer,a.byteOffset,e)})}releaseTexture(t,e){let a;if(this.config.reuseTextures&&(a=this.textureLookup.get(t.texture),a)){e&&this.textureLookup.delete(a);let o=this.inUseTextures.get(a);if(o){let i=o.indexOf(t.texture);if(i!==-1){o.splice(i,1);let d=this.idleTextures.get(a);d||(d=[],this.idleTextures.set(a,d)),d.push(t.texture)}}}(!a||e)&&(tt.verbose("TextureManager",`Deleting texture of size ${t.width}x${t.height}`),this.glContext.deleteTexture(t.texture))}toTensorData(t,e){switch(t){case"int16":return e instanceof Int16Array?e:Int16Array.from(e);case"int32":return e instanceof Int32Array?e:Int32Array.from(e);case"int8":return e instanceof Int8Array?e:Int8Array.from(e);case"uint16":return e instanceof Uint16Array?e:Uint16Array.from(e);case"uint32":return e instanceof Uint32Array?e:Uint32Array.from(e);case"uint8":case"bool":return e instanceof Uint8Array?e:Uint8Array.from(e);case"float32":return e instanceof Float32Array?e:Float32Array.from(e);case"float64":return e instanceof Float64Array?e:Float64Array.from(e);default:throw new Error(`TensorData type ${t} is not supported`)}}toTextureData(t,e){if(e)return e instanceof Float32Array?e:new Float32Array(e)}toEncoderType(t){return"float"}clearActiveTextures(){this.glContext.clearActiveTextures()}}}),Jn,Tp=O(()=>{Ut(),Bs(),cl(),ap(),yp(),Ni(),xp(),Jn=class{constructor(t,e){this.backend=t,this.context=e,this.layoutStrategy=new Un(t.glContext.maxTextureSize),this.programManager=new Xn(this.context.profiler,t.glContext,this.layoutStrategy),this.textureManager=new Kn(t.glContext,this.layoutStrategy,this.context.profiler,{reuseTextures:t.textureCacheMode==="full"}),this.packedTextureDataCache=new Map,this.unpackedTextureDataCache=new Map,this.pack=t.pack,this.pack2unpackMap=new Map,this.unpack2packMap=new Map}createInferenceHandler(){return new Dn(this)}onGraphInitialized(t){let e=t.getValues().filter(a=>a.from===-1&&a.tensor).map(a=>a.tensor.dataId);this.initializers=new Set(e)}isInitializer(t){return this.initializers?this.initializers.has(t):!1}addInitializer(t){this.initializers.add(t)}getTextureData(t,e){return e?this.packedTextureDataCache.get(t):this.unpackedTextureDataCache.get(t)}setTextureData(t,e,a=!1){tt.verbose("WebGLSessionHandler","Storing Texture data in cache"),a?this.packedTextureDataCache.set(t,e):this.unpackedTextureDataCache.set(t,e)}dispose(){this.programManager.dispose(),this.textureManager.clearActiveTextures(),this.packedTextureDataCache.forEach(t=>this.textureManager.releaseTexture(t,!0)),this.packedTextureDataCache=new Map,this.unpackedTextureDataCache.forEach(t=>this.textureManager.releaseTexture(t,!0)),this.unpackedTextureDataCache=new Map}resolve(t,e,a){let o=ks(t,e,ip);return{impl:o.opImpl,context:o.opInit?o.opInit(t,a):t}}}});function bg(t){let e=0;for(;e<t.length&&t[e]();++e);return e-1}var 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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
+   *
+   *     http://www.apache.org/licenses/LICENSE-2.0
+   *
+   * Unless required by applicable law or agreed to in writing, software
+   * distributed under the License is distributed on an "AS IS" BASIS,
+   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   * See the License for the specific language governing permissions and
+   * limitations under the License.
+   *
+   * SPDX-License-Identifier: Apache-2.0
+   *)
+*/const base64decode=function(t){return atob(t)},utf8ByteToHex=t=>`<0x${t.toString(16).toUpperCase().padStart(2,"0")}>`,hexToUtf8Byte=t=>{const e=t.replace(/<0x|>/g,"");return parseInt(e,16)};class PriorityQueue{constructor(e=(a,o)=>a>o){this._heap=[],this._comparator=e}size(){return this._heap.length}isEmpty(){return this.size()==0}peek(){return this._heap[0]}push(...e){return e.forEach(a=>{this._heap.push(a),this._siftUp()}),this.size()}pop(){const e=this.peek(),a=this.size()-1;return a>0&&this._swap(0,a),this._heap.pop(),this._siftDown(),e}replace(e){const a=this.peek();return this._heap[0]=e,this._siftDown(),a}_parent(e){return(e+1>>>1)-1}_left(e){return(e<<1)+1}_right(e){return e+1<<1}_greater(e,a){return this._comparator(this._heap[e],this._heap[a])}_swap(e,a){[this._heap[e],this._heap[a]]=[this._heap[a],this._heap[e]]}_siftUp(){let e=this.size()-1;for(;e>0&&this._greater(e,this._parent(e));)this._swap(e,this._parent(e)),e=this._parent(e)}_siftDown(){let e=0;for(;this._left(e)<this.size()&&this._greater(this._left(e),e)||this._right(e)<this.size()&&this._greater(this._right(e),e);){let a=this._right(e)<this.size()&&this._greater(this._right(e),this._left(e))?this._right(e):this._left(e);this._swap(e,a),e=a}}}const BOS_TOKEN_ID=1;class LlamaTokenizer{constructor(e,a){Qr(this,"vocabById");Qr(this,"vocabByString");Qr(this,"merges");Qr(this,"utf8Encoder",new TextEncoder);Qr(this,"utf8Decoder",new TextDecoder("utf-8"));this.vocabById=this.decodeVocabulary(e||llama_vocab_base64),this.vocabByString=new Map,this.vocabById.forEach((o,i)=>{this.vocabByString.set(o,i)}),this.merges=this.decompressMerges(a||llama_merges_binary)}getMergeIdentifierString(e,a){return this.vocabById[e]+" "+this.vocabById[a]}decompressMerges(e){const a=base64decode(e),o=new Uint8Array(a.length);for(let n=0;n<a.length;n++)o[n]=a.charCodeAt(n);const i=[];for(let n=0;n<o.length;n+=2){const s=o[n],g=o[n+1],r=s+(g<<8);i.push(r)}const d=new Map;for(let n=0;n<i.length;n+=2){const s=i[n],g=i[n+1],r=this.getMergeIdentifierString(s,g);d.set(r,n+1)}return d}decodeVocabulary(e){const a=Uint8Array.from(base64decode(e),i=>i.charCodeAt(0));return new TextDecoder("utf-8").decode(a).split(`
+`)}mapCharactersToTokenIds(e,a,o){const i=[];a&&i.push(BOS_TOKEN_ID),o&&(e=" "+e);const d=e.replaceAll(" ",this.vocabById[29871]),n=Array.from(d);for(let s=0;s<n.length;s++){const g=n[s];if(this.vocabByString.has(g))i.push(this.vocabByString.get(g));else{const r=this.utf8Encoder.encode(g);for(let A=0;A<r.length;A++){const l=this.vocabByString.get(utf8ByteToHex(r[A]));i.push(l),l>=0||(console.log("Encountered unknown character "+g+" (partial UTF-8 byte "+r[A]+" + hex + "+utf8ByteToHex(r[A])+")"),i[i.length-1]=0)}}}return i}encode(e,a=!0,o=!0,i=!1){let d=null;if(i&&(d=performance.now()),!this.vocabById||!this.vocabByString||!this.merges){console.log("Tokenizer not initialized properly!");return}if(e.length===0)return[];const n=this.mapCharactersToTokenIds(e,a,o),s=new PriorityQueue((p,C)=>p.mergePrio<C.mergePrio),g=p=>{const C=this.getMergeIdentifierString(p.tokenId,p.next.tokenId),K=this.merges.get(C)+p.origPos/e.length;K&&(p.mergePrio=K,p.mergeToString=C.replace(" ",""),s.push(p))};let r={origPos:0,tokenId:n[0],prev:null,next:null},A=r;for(let p=1;p<n.length;p++){const C={origPos:p,tokenId:n[p],prev:A,next:null};A.next=C,g(A),A=C}for(;!s.isEmpty();){const p=s.pop();if(p.deleted||!p.next||p.next.deleted)continue;if(p.deleted=!0,p.next.deleted=!0,p.prev){const K=p.prev;K.deleted=!0;const c={origPos:K.origPos,tokenId:K.tokenId,prev:K.prev,next:K.next};p.prev=c,c.prev?c.prev.next=c:r=c}const C={origPos:p.origPos,tokenId:this.vocabByString.get(p.mergeToString),prev:p.prev,next:p.next.next};C.prev?(C.prev.next=C,C.prev,g(C.prev)):r=C,C.next&&(C.next.prev=C,g(C))}const l=[];for(let p=r;p!==null;p=p.next)l.push(p.tokenId);if(i){const p=performance.now();console.log("Tokenizer running time: "+(p-d)+" milliseconds")}return l}decode(e,a=!0,o=!0){const i=[],d=a&&e[0]===BOS_TOKEN_ID?1:0;for(let r=d;r<e.length;r++){const A=e[r],l=this.vocabById[A];if(l.startsWith("<0x")&&l.endsWith(">")){const p=hexToUtf8Byte(l);i.push(p)}else this.utf8Encoder.encode(l).forEach(C=>i.push(C))}const n=new Uint8Array(i),g=this.utf8Decoder.decode(n).replaceAll(this.vocabById[29871]," ");return o&&g[0]===" "?g.slice(1):g}defaultTests(e){function a(d,n){return d.length===n.length&&d.every(function(s,g){return s===n[g]})}function o(d,n,s=!0,g=!0){const r=e.decode(d,s,g);if(r!==n)throw Error(`Decode test failed. Expected ${n}, actual was: ${r}`)}function i(d,n){const s=e.encode(d,!0,!0,!0);if(!a(s,n))throw Error(`Test failed. LLaMA Tokenizer Encoder returned unexpected result: expected tokenize(${d}) === ${n}, actual was: ${s}`);if(d!==e.decode(s))throw Error(`Test failed. LLaMA Tokenizer Decoder returned unexpected result: expected decode(${s}) === ${d}, actual was: ${decode(s)}`)}return i("grabbed",[1,2646,1327,287]),i(" grabbed",[1,29871,2646,1327,287]),i("           grabbed",[1,9651,2646,1327,287]),i(`
+`,[1,29871,13]),i(` 
+`,[1,259,13]),i("	tabs				out here",[1,29871,12,21175,12,12,12,12,449,1244]),i(`ax
+####
+boo`,[1,4853,13,4136,13,833,29877]),i("镇",[1,29871,30411]),i("🦙",[1,29871,243,162,169,156]),i("🦙Ꙋ",[1,29871,243,162,169,156,237,156,141]),i("Ꙋ🦙",[1,29871,237,156,141,243,162,169,156]),o([1,2646,1327,287],"grabbed",!0,!0),o([1,2646,1327,287],"<s> grabbed",!1,!1),o([1,2646,1327,287]," grabbed",!0,!1),o([1,2646,1327,287],"<s> grabbed",!1,!0),o([2646,1327,287],"grabbed",!0,!0),o([2646,1327,287]," grabbed",!1,!1),o([2646,1327,287]," grabbed",!0,!1),o([2646,1327,287],"grabbed",!1,!0),i('The llama (/ˈlɑːmə/; 🦙Spanish pronunciation: [ˈʎama]) (Lama glama) is a domesticated South American camelid, widely used as a meat and pack animal by Andean cultures since the Pre-Columbian era. Llamas are social animals and live with others as a herd. Their wool is soft and contains only a small amount of lanolin.[2] Llamas can learn simple tasks after a few repetitions. When using a pack, they can carry about 25 to 30% of their body weight for 8 to 13 km (5–8 miles).[3] The name llama (in the past also spelled "lama" or "glama") was adopted by European settlers from native Peruvians.[4] The ancestors of llamas are thought to have originated from the Great Plains of North America about 40 million years ago, and subsequently migrated to South America about three million years ago during the Great American Interchange. By the end of the last ice age (10,000–12,000 years ago), camelids were extinct in North America.[3] As of 2007, there were over seven million llamas and alpacas in South America and over 158,000 llamas and 100,000Ꙋ🦙 alpacas, descended from progenitors imported late in the 20th century, in the United States and Canada.[5] In Aymara mythology, llamas are important beings. The Heavenly Llama is said to drink water from the ocean and urinates as it rains.[6] According to Aymara eschatology, llamas will return to the water springs and lagoons where they come from at the end of time.[6]',[1,450,11148,3304,20374,30176,29880,30426,30215,29885,30184,29914,29936,29871,243,162,169,156,15495,728,11504,11173,362,29901,518,30176,31743,3304,2314,313,29931,3304,3144,3304,29897,338,263,21849,630,4275,3082,3949,295,333,29892,17644,1304,408,263,27654,322,4870,13019,491,1126,29872,273,4185,1973,1951,278,4721,29899,1625,3774,713,3152,29889,365,5288,294,526,5264,15006,322,5735,411,4045,408,263,902,29881,29889,11275,281,1507,338,4964,322,3743,871,263,2319,5253,310,10906,22878,7226,29906,29962,365,5288,294,508,5110,2560,9595,1156,263,2846,21159,2187,29889,1932,773,263,4870,29892,896,508,8677,1048,29871,29906,29945,304,29871,29941,29900,29995,310,1009,3573,7688,363,29871,29947,304,29871,29896,29941,2383,313,29945,29994,29947,7800,467,29961,29941,29962,450,1024,11148,3304,313,262,278,4940,884,805,14356,376,29880,3304,29908,470,376,3820,3304,1159,471,16356,491,7824,3604,9306,515,7531,25493,1403,550,7226,29946,29962,450,19525,943,310,11829,294,526,2714,304,505,3978,630,515,278,7027,13494,1144,310,4644,6813,1048,29871,29946,29900,7284,2440,8020,29892,322,17602,9725,630,304,4275,6813,1048,2211,7284,2440,8020,2645,278,7027,3082,4124,3167,29889,2648,278,1095,310,278,1833,14890,5046,313,29896,29900,29892,29900,29900,29900,29994,29896,29906,29892,29900,29900,29900,2440,8020,511,3949,295,4841,892,1294,5562,297,4644,6813,7226,29941,29962,1094,310,29871,29906,29900,29900,29955,29892,727,892,975,9881,7284,11829,294,322,394,29886,562,294,297,4275,6813,322,975,29871,29896,29945,29947,29892,29900,29900,29900,11829,294,322,29871,29896,29900,29900,29892,29900,29900,29900,237,156,141,243,162,169,156,394,29886,562,294,29892,5153,2760,515,410,1885,17259,19673,5683,297,278,29871,29906,29900,386,6462,29892,297,278,3303,3900,322,7400,7226,29945,29962,512,319,962,2518,22082,3002,29892,11829,294,526,4100,367,886,29889,450,22977,368,365,29880,3304,338,1497,304,13748,4094,515,278,23474,322,5065,262,1078,408,372,1153,1144,7226,29953,29962,7579,304,319,962,2518,831,13496,3002,29892,11829,294,674,736,304,278,4094,7689,886,322,301,4425,787,988,896,2041,515,472,278,1095,310,931,7226,29953,29962]),console.log("LLaMA Tokenizer tests passed successfully."),!0}runTests(e=this.defaultTests){e(this)}}const llama_vocab_base64="<unk>
<s>
</s>
<0x00>
<0x01>
<0x02>
<0x03>
<0x04>
<0x05>
<0x06>
<0x07>
<0x08>
<0x09>
<0x0A>
<0x0B>
<0x0C>
<0x0D>
<0x0E>
<0x0F>
<0x10>
<0x11>
<0x12>
<0x13>
<0x14>
<0x15>
<0x16>
<0x17>
<0x18>
<0x19>
<0x1A>
<0x1B>
<0x1C>
<0x1D>
<0x1E>
<0x1F>
<0x20>
<0x21>
<0x22>
<0x23>
<0x24>
<0x25>
<0x26>
<0x27>
<0x28>
<0x29>
<0x2A>
<0x2B>
<0x2C>
<0x2D>
<0x2E>
<0x2F>
<0x30>
<0x31>
<0x32>
<0x33>
<0x34>
<0x35>
<0x36>
<0x37>
<0x38>
<0x39>
<0x3A>
<0x3B>
<0x3C>
<0x3D>
<0x3E>
<0x3F>
<0x40>
<0x41>
<0x42>
<0x43>
<0x44>
<0x45>
<0x46>
<0x47>
<0x48>
<0x49>
<0x4A>
<0x4B>
<0x4C>
<0x4D>
<0x4E>
<0x4F>
<0x50>
<0x51>
<0x52>
<0x53>
<0x54>
<0x55>
<0x56>
<0x57>
<0x58>
<0x59>
<0x5A>
<0x5B>
<0x5C>
<0x5D>
<0x5E>
<0x5F>
<0x60>
<0x61>
<0x62>
<0x63>
<0x64>
<0x65>
<0x66>
<0x67>
<0x68>
<0x69>
<0x6A>
<0x6B>
<0x6C>
<0x6D>
<0x6E>
<0x6F>
<0x70>
<0x71>
<0x72>
<0x73>
<0x74>
<0x75>
<0x76>
<0x77>
<0x78>
<0x79>
<0x7A>
<0x7B>
<0x7C>
<0x7D>
<0x7E>
<0x7F>
<0x80>
<0x81>
<0x82>
<0x83>
<0x84>
<0x85>
<0x86>
<0x87>
<0x88>
<0x89>
<0x8A>
<0x8B>
<0x8C>
<0x8D>
<0x8E>
<0x8F>
<0x90>
<0x91>
<0x92>
<0x93>
<0x94>
<0x95>
<0x96>
<0x97>
<0x98>
<0x99>
<0x9A>
<0x9B>
<0x9C>
<0x9D>
<0x9E>
<0x9F>
<0xA0>
<0xA1>
<0xA2>
<0xA3>
<0xA4>
<0xA5>
<0xA6>
<0xA7>
<0xA8>
<0xA9>
<0xAA>
<0xAB>
<0xAC>
<0xAD>
<0xAE>
<0xAF>
<0xB0>
<0xB1>
<0xB2>
<0xB3>
<0xB4>
<0xB5>
<0xB6>
<0xB7>
<0xB8>
<0xB9>
<0xBA>
<0xBB>
<0xBC>
<0xBD>
<0xBE>
<0xBF>
<0xC0>
<0xC1>
<0xC2>
<0xC3>
<0xC4>
<0xC5>
<0xC6>
<0xC7>
<0xC8>
<0xC9>
<0xCA>
<0xCB>
<0xCC>
<0xCD>
<0xCE>
<0xCF>
<0xD0>
<0xD1>
<0xD2>
<0xD3>
<0xD4>
<0xD5>
<0xD6>
<0xD7>
<0xD8>
<0xD9>
<0xDA>
<0xDB>
<0xDC>
<0xDD>
<0xDE>
<0xDF>
<0xE0>
<0xE1>
<0xE2>
<0xE3>
<0xE4>
<0xE5>
<0xE6>
<0xE7>
<0xE8>
<0xE9>
<0xEA>
<0xEB>
<0xEC>
<0xED>
<0xEE>
<0xEF>
<0xF0>
<0xF1>
<0xF2>
<0xF3>
<0xF4>
<0xF5>
<0xF6>
<0xF7>
<0xF8>
<0xF9>
<0xFA>
<0xFB>
<0xFC>
<0xFD>
<0xFE>
<0xFF>
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",llamaTokenizer=new LlamaTokenizer;typeof window<"u"&&(window.llamaTokenizer=llamaTokenizer);function argMax(t){return[].map.call(t,(e,a)=>[e,a]).reduce((e,a)=>a[0]>e[0]?a:e)[1]}class Moonshine{constructor(e){this.model_name=e,this.model={preprocess:void 0,encode:void 0,uncached_decode:void 0,cached_decode:void 0}}async loadModel(){console.log("loading "+this.model_name+"...");const e={executionProviders:["wasm","cpu"]};this.model.preprocess=await Yd.create("moonshine/"+this.model_name+"/preprocess.onnx",e),console.log("preprocess loaded"),this.model.encode=await Yd.create("moonshine/"+this.model_name+"/encode.onnx",e),console.log("encode loaded"),this.model.uncached_decode=await Yd.create("moonshine/"+this.model_name+"/uncached_decode.onnx",e),console.log("uncached_decode loaded"),this.model.cached_decode=await Yd.create("moonshine/"+this.model_name+"/cached_decode.onnx",e),console.log("cached_decode loaded"),console.log(this.model_name+" loaded")}async generate(e){if(this.model.preprocess&&this.model.encode&&this.model.uncached_decode&&this.model.cached_decode){const r=Math.trunc(e.length/16e3*6),A=await this.model.preprocess.run({args_0:new yt("float32",e,[1,e.length])}),l=await this.model.encode.run({args_0:new yt("float32",A.sequential.data,A.sequential.dims),args_1:new yt("int32",[A.sequential.dims[1]],[1])});var a=1,o="";for(const C in l)if(C.startsWith("layer_norm")){o=C;break}const p=await this.model.uncached_decode.run({args_0:new yt("int32",[[1]],[1,1]),args_1:new yt("float32",l[o].data,l[o].dims),args_2:new yt("int32",[a],[1])});for(var i=[1],d=p,n=0;n<r;n++){var s=d.reversible_embedding.data;const C=argMax(s);if(C===2)break;i=i.concat([C]);const K=[[C]];a+=1;const c={args_0:new yt("int32",K,[1,1]),args_1:new yt("float32",l[o].data,l[o].dims),args_2:new yt("int32",[a],[1])};var g=3;Object.keys(d).forEach(m=>{m.startsWith("reversible")||(c["args_"+g]=d[m],g+=1)}),d=await this.model.cached_decode.run(c)}return llamaTokenizer.decode(i)}else console.warn("Tried to call Moonshine.generate() before the model was loaded.")}}function setTranscription(t){document.getElementById("transcription").innerHTML=t}async function getRecordingDevice(){const t=await navigator.mediaDevices.getUserMedia({audio:!0});return new MediaRecorder(t)}async function startRecording(t){const e=[];return t.ondataavailable=a=>{e.push(a.data)},t.start(),console.log("Recording started"),new Promise(a=>{t.onstop=()=>{const o=new Blob(e,{type:"audio/wav"});console.log("Recording stopped"),a(o)},setTimeout(()=>t.stop(),3e4)})}function toggleAudioPanel(t){var e="inherit";document.getElementById("audioPanel").style="display: "+e+";"}window.onload=t=>{var e=document.getElementById("models").value;setTranscription("Loading "+e+"...");var a=new Moonshine(e);a.loadModel().then(()=>{setTranscription("")}),models.onchange=async function(i){var d=document.getElementById("models").value;if(d!=e){e=d,setTranscription("Loading "+e+"...");var n=new Moonshine(e);n.loadModel().then(()=>{setTranscription("")})}},upload.onchange=function(i){var d=document.getElementById("sound");d.src=URL.createObjectURL(this.files[0]),toggleAudioPanel()},transcribe.onclick=async function(i){var d=document.getElementById("sound");if(d.src){const n=new AudioContext({sampleRate:16e3});let g=await(await fetch(d.src).then(l=>l.blob())).arrayBuffer(),r=await n.decodeAudioData(g),A=new Float32Array(r.length);r.copyFromChannel(A,0),a.generate(A).then(l=>{document.getElementById("transcription").innerText=l})}};var o=void 0;startRecord.onclick=async function(i){document.getElementById("startRecord").style="display: none;",document.getElementById("stopRecord").style="display: block;",o||(o=await getRecordingDevice()),startRecording(o).then(d=>{document.getElementById("startRecord").style="display: block;",document.getElementById("stopRecord").style="display: none;";var n=document.getElementById("sound");n.src=URL.createObjectURL(d),toggleAudioPanel()})},stopRecord.onclick=function(i){document.getElementById("startRecord").style="display: block;",document.getElementById("stopRecord").style="display: none;",o.stop()}};