diff --git "a/worker-d0344f04.js" "b/worker-d0344f04.js"
deleted file mode 100644--- "a/worker-d0344f04.js"
+++ /dev/null
@@ -1,1790 +0,0 @@
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bufferToTensor(t,i){if(t===void 0)throw new Error("Image buffer must be defined");if(i.height===void 0||i.width===void 0)throw new Error("Image height and width must be defined");const{height:s,width:a}=i,d=i.norm;let u,h;d===void 0||d.mean===void 0?u=255:u=d.mean,d===void 0||d.bias===void 0?h=0:h=d.bias;const p=i.bitmapFormat!==void 0?i.bitmapFormat:"RGBA",c=i.tensorFormat!==void 0&&i.tensorFormat!==void 0?i.tensorFormat:"RGB",l=s*a,n=c==="RGBA"?new Float32Array(l*4):new Float32Array(l*3);let e=4,r=0,o=1,f=2,g=3,b=0,_=l,y=l*2,w=-1;p==="RGB"&&(e=3,r=0,o=1,f=2,g=-1),c==="RGBA"?w=l*3:c==="RBG"?(b=0,y=l,_=l*2):c==="BGR"&&(y=0,_=l,b=l*2);for(let S=0;S<l;S++,r+=e,f+=e,o+=e,g+=e)n[b++]=(t[r]+h)/u,n[_++]=(t[o]+h)/u,n[y++]=(t[f]+h)/u,w!==-1&&g!==-1&&(n[w++]=(t[g]+h)/u);return c==="RGBA"?new ut("float32",n,[1,4,s,a]):new ut("float32",n,[1,3,s,a])}static async fromImage(t,i){const s=typeof HTMLImageElement<"u"&&t instanceof HTMLImageElement,a=typeof ImageData<"u"&&t instanceof ImageData,d=typeof 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x=this.high,E=this.low;return[x>>>24,x>>>16&255,x>>>8&255,255&x,E>>>24,E>>>16&255,E>>>8&255,255&E]},i.fromBytes=function(x,E,F){return F?i.fromBytesLE(x,E):i.fromBytesBE(x,E)},i.fromBytesLE=function(x,E){return new i(x[0]|x[1]<<8|x[2]<<16|x[3]<<24,x[4]|x[5]<<8|x[6]<<16|x[7]<<24,E)},i.fromBytesBE=function(x,E){return new i(x[4]<<24|x[5]<<16|x[6]<<8|x[7],x[0]<<24|x[1]<<16|x[2]<<8|x[3],E)}},1446:(m,t,i)=>{var s,a,d,u=i(2100),h=u.Reader,p=u.Writer,c=u.util,l=u.roots.default||(u.roots.default={});l.onnx=((d={}).Version=(s={},(a=Object.create(s))[s[0]="_START_VERSION"]=0,a[s[1]="IR_VERSION_2017_10_10"]=1,a[s[2]="IR_VERSION_2017_10_30"]=2,a[s[3]="IR_VERSION_2017_11_3"]=3,a[s[4]="IR_VERSION_2019_1_22"]=4,a[s[5]="IR_VERSION"]=5,a),d.AttributeProto=function(){function n(e){if(this.floats=[],this.ints=[],this.strings=[],this.tensors=[],this.graphs=[],e)for(var r=Object.keys(e),o=0;o<r.length;++o)e[r[o]]!=null&&(this[r[o]]=e[r[o]])}return n.prototype.name="",n.prototype.refAttrName="",n.prototype.docString="",n.prototype.type=0,n.prototype.f=0,n.prototype.i=c.Long?c.Long.fromBits(0,0,!1):0,n.prototype.s=c.newBuffer([]),n.prototype.t=null,n.prototype.g=null,n.prototype.floats=c.emptyArray,n.prototype.ints=c.emptyArray,n.prototype.strings=c.emptyArray,n.prototype.tensors=c.emptyArray,n.prototype.graphs=c.emptyArray,n.create=function(e){return new n(e)},n.encode=function(e,r){if(r||(r=p.create()),e.name!=null&&e.hasOwnProperty("name")&&r.uint32(10).string(e.name),e.f!=null&&e.hasOwnProperty("f")&&r.uint32(21).float(e.f),e.i!=null&&e.hasOwnProperty("i")&&r.uint32(24).int64(e.i),e.s!=null&&e.hasOwnProperty("s")&&r.uint32(34).bytes(e.s),e.t!=null&&e.hasOwnProperty("t")&&l.onnx.TensorProto.encode(e.t,r.uint32(42).fork()).ldelim(),e.g!=null&&e.hasOwnProperty("g")&&l.onnx.GraphProto.encode(e.g,r.uint32(50).fork()).ldelim(),e.floats!=null&&e.floats.length){r.uint32(58).fork();for(var o=0;o<e.floats.length;++o)r.float(e.floats[o]);r.ldelim()}if(e.ints!=null&&e.ints.length){for(r.uint32(66).fork(),o=0;o<e.ints.length;++o)r.int64(e.ints[o]);r.ldelim()}if(e.strings!=null&&e.strings.length)for(o=0;o<e.strings.length;++o)r.uint32(74).bytes(e.strings[o]);if(e.tensors!=null&&e.tensors.length)for(o=0;o<e.tensors.length;++o)l.onnx.TensorProto.encode(e.tensors[o],r.uint32(82).fork()).ldelim();if(e.graphs!=null&&e.graphs.length)for(o=0;o<e.graphs.length;++o)l.onnx.GraphProto.encode(e.graphs[o],r.uint32(90).fork()).ldelim();return e.docString!=null&&e.hasOwnProperty("docString")&&r.uint32(106).string(e.docString),e.type!=null&&e.hasOwnProperty("type")&&r.uint32(160).int32(e.type),e.refAttrName!=null&&e.hasOwnProperty("refAttrName")&&r.uint32(170).string(e.refAttrName),r},n.encodeDelimited=function(e,r){return this.encode(e,r).ldelim()},n.decode=function(e,r){e instanceof h||(e=h.create(e));for(var o=r===void 0?e.len:e.pos+r,f=new l.onnx.AttributeProto;e.pos<o;){var g=e.uint32();switch(g>>>3){case 1:f.name=e.string();break;case 21:f.refAttrName=e.string();break;case 13:f.docString=e.string();break;case 20:f.type=e.int32();break;case 2:f.f=e.float();break;case 3:f.i=e.int64();break;case 4:f.s=e.bytes();break;case 5:f.t=l.onnx.TensorProto.decode(e,e.uint32());break;case 6:f.g=l.onnx.GraphProto.decode(e,e.uint32());break;case 7:if(f.floats&&f.floats.length||(f.floats=[]),(7&g)==2)for(var b=e.uint32()+e.pos;e.pos<b;)f.floats.push(e.float());else f.floats.push(e.float());break;case 8:if(f.ints&&f.ints.length||(f.ints=[]),(7&g)==2)for(b=e.uint32()+e.pos;e.pos<b;)f.ints.push(e.int64());else f.ints.push(e.int64());break;case 9:f.strings&&f.strings.length||(f.strings=[]),f.strings.push(e.bytes());break;case 10:f.tensors&&f.tensors.length||(f.tensors=[]),f.tensors.push(l.onnx.TensorProto.decode(e,e.uint32()));break;case 11:f.graphs&&f.graphs.length||(f.graphs=[]),f.graphs.push(l.onnx.GraphProto.decode(e,e.uint32()));break;default:e.skipType(7&g)}}return f},n.decodeDelimited=function(e){return e instanceof h||(e=new h(e)),this.decode(e,e.uint32())},n.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.name!=null&&e.hasOwnProperty("name")&&!c.isString(e.name))return"name: string expected";if(e.refAttrName!=null&&e.hasOwnProperty("refAttrName")&&!c.isString(e.refAttrName))return"refAttrName: string expected";if(e.docString!=null&&e.hasOwnProperty("docString")&&!c.isString(e.docString))return"docString: string expected";if(e.type!=null&&e.hasOwnProperty("type"))switch(e.type){default:return"type: enum value expected";case 0:case 1:case 2:case 3:case 4:case 5:case 6:case 7:case 8:case 9:case 10:}if(e.f!=null&&e.hasOwnProperty("f")&&typeof e.f!="number")return"f: number expected";if(e.i!=null&&e.hasOwnProperty("i")&&!(c.isInteger(e.i)||e.i&&c.isInteger(e.i.low)&&c.isInteger(e.i.high)))return"i: integer|Long expected";if(e.s!=null&&e.hasOwnProperty("s")&&!(e.s&&typeof e.s.length=="number"||c.isString(e.s)))return"s: buffer expected";if(e.t!=null&&e.hasOwnProperty("t")&&(o=l.onnx.TensorProto.verify(e.t)))return"t."+o;if(e.g!=null&&e.hasOwnProperty("g")&&(o=l.onnx.GraphProto.verify(e.g)))return"g."+o;if(e.floats!=null&&e.hasOwnProperty("floats")){if(!Array.isArray(e.floats))return"floats: array expected";for(var r=0;r<e.floats.length;++r)if(typeof e.floats[r]!="number")return"floats: number[] expected"}if(e.ints!=null&&e.hasOwnProperty("ints")){if(!Array.isArray(e.ints))return"ints: array expected";for(r=0;r<e.ints.length;++r)if(!(c.isInteger(e.ints[r])||e.ints[r]&&c.isInteger(e.ints[r].low)&&c.isInteger(e.ints[r].high)))return"ints: integer|Long[] expected"}if(e.strings!=null&&e.hasOwnProperty("strings")){if(!Array.isArray(e.strings))return"strings: array expected";for(r=0;r<e.strings.length;++r)if(!(e.strings[r]&&typeof e.strings[r].length=="number"||c.isString(e.strings[r])))return"strings: buffer[] expected"}if(e.tensors!=null&&e.hasOwnProperty("tensors")){if(!Array.isArray(e.tensors))return"tensors: array expected";for(r=0;r<e.tensors.length;++r)if(o=l.onnx.TensorProto.verify(e.tensors[r]))return"tensors."+o}if(e.graphs!=null&&e.hasOwnProperty("graphs")){if(!Array.isArray(e.graphs))return"graphs: array expected";for(r=0;r<e.graphs.length;++r){var o;if(o=l.onnx.GraphProto.verify(e.graphs[r]))return"graphs."+o}}return null},n.fromObject=function(e){if(e instanceof l.onnx.AttributeProto)return e;var r=new l.onnx.AttributeProto;switch(e.name!=null&&(r.name=String(e.name)),e.refAttrName!=null&&(r.refAttrName=String(e.refAttrName)),e.docString!=null&&(r.docString=String(e.docString)),e.type){case"UNDEFINED":case 0:r.type=0;break;case"FLOAT":case 1:r.type=1;break;case"INT":case 2:r.type=2;break;case"STRING":case 3:r.type=3;break;case"TENSOR":case 4:r.type=4;break;case"GRAPH":case 5:r.type=5;break;case"FLOATS":case 6:r.type=6;break;case"INTS":case 7:r.type=7;break;case"STRINGS":case 8:r.type=8;break;case"TENSORS":case 9:r.type=9;break;case"GRAPHS":case 10:r.type=10}if(e.f!=null&&(r.f=Number(e.f)),e.i!=null&&(c.Long?(r.i=c.Long.fromValue(e.i)).unsigned=!1:typeof e.i=="string"?r.i=parseInt(e.i,10):typeof e.i=="number"?r.i=e.i:typeof e.i=="object"&&(r.i=new c.LongBits(e.i.low>>>0,e.i.high>>>0).toNumber())),e.s!=null&&(typeof e.s=="string"?c.base64.decode(e.s,r.s=c.newBuffer(c.base64.length(e.s)),0):e.s.length&&(r.s=e.s)),e.t!=null){if(typeof e.t!="object")throw TypeError(".onnx.AttributeProto.t: object expected");r.t=l.onnx.TensorProto.fromObject(e.t)}if(e.g!=null){if(typeof e.g!="object")throw TypeError(".onnx.AttributeProto.g: object expected");r.g=l.onnx.GraphProto.fromObject(e.g)}if(e.floats){if(!Array.isArray(e.floats))throw TypeError(".onnx.AttributeProto.floats: array expected");r.floats=[];for(var o=0;o<e.floats.length;++o)r.floats[o]=Number(e.floats[o])}if(e.ints){if(!Array.isArray(e.ints))throw TypeError(".onnx.AttributeProto.ints: array expected");for(r.ints=[],o=0;o<e.ints.length;++o)c.Long?(r.ints[o]=c.Long.fromValue(e.ints[o])).unsigned=!1:typeof e.ints[o]=="string"?r.ints[o]=parseInt(e.ints[o],10):typeof e.ints[o]=="number"?r.ints[o]=e.ints[o]:typeof e.ints[o]=="object"&&(r.ints[o]=new c.LongBits(e.ints[o].low>>>0,e.ints[o].high>>>0).toNumber())}if(e.strings){if(!Array.isArray(e.strings))throw TypeError(".onnx.AttributeProto.strings: array expected");for(r.strings=[],o=0;o<e.strings.length;++o)typeof e.strings[o]=="string"?c.base64.decode(e.strings[o],r.strings[o]=c.newBuffer(c.base64.length(e.strings[o])),0):e.strings[o].length&&(r.strings[o]=e.strings[o])}if(e.tensors){if(!Array.isArray(e.tensors))throw TypeError(".onnx.AttributeProto.tensors: array expected");for(r.tensors=[],o=0;o<e.tensors.length;++o){if(typeof e.tensors[o]!="object")throw TypeError(".onnx.AttributeProto.tensors: object expected");r.tensors[o]=l.onnx.TensorProto.fromObject(e.tensors[o])}}if(e.graphs){if(!Array.isArray(e.graphs))throw TypeError(".onnx.AttributeProto.graphs: array expected");for(r.graphs=[],o=0;o<e.graphs.length;++o){if(typeof e.graphs[o]!="object")throw TypeError(".onnx.AttributeProto.graphs: object expected");r.graphs[o]=l.onnx.GraphProto.fromObject(e.graphs[o])}}return r},n.toObject=function(e,r){r||(r={});var o={};if((r.arrays||r.defaults)&&(o.floats=[],o.ints=[],o.strings=[],o.tensors=[],o.graphs=[]),r.defaults){if(o.name="",o.f=0,c.Long){var f=new c.Long(0,0,!1);o.i=r.longs===String?f.toString():r.longs===Number?f.toNumber():f}else o.i=r.longs===String?"0":0;r.bytes===String?o.s="":(o.s=[],r.bytes!==Array&&(o.s=c.newBuffer(o.s))),o.t=null,o.g=null,o.docString="",o.type=r.enums===String?"UNDEFINED":0,o.refAttrName=""}if(e.name!=null&&e.hasOwnProperty("name")&&(o.name=e.name),e.f!=null&&e.hasOwnProperty("f")&&(o.f=r.json&&!isFinite(e.f)?String(e.f):e.f),e.i!=null&&e.hasOwnProperty("i")&&(typeof 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c.LongBits(e.ints[g].low>>>0,e.ints[g].high>>>0).toNumber():e.ints[g];if(e.strings&&e.strings.length)for(o.strings=[],g=0;g<e.strings.length;++g)o.strings[g]=r.bytes===String?c.base64.encode(e.strings[g],0,e.strings[g].length):r.bytes===Array?Array.prototype.slice.call(e.strings[g]):e.strings[g];if(e.tensors&&e.tensors.length)for(o.tensors=[],g=0;g<e.tensors.length;++g)o.tensors[g]=l.onnx.TensorProto.toObject(e.tensors[g],r);if(e.graphs&&e.graphs.length)for(o.graphs=[],g=0;g<e.graphs.length;++g)o.graphs[g]=l.onnx.GraphProto.toObject(e.graphs[g],r);return e.docString!=null&&e.hasOwnProperty("docString")&&(o.docString=e.docString),e.type!=null&&e.hasOwnProperty("type")&&(o.type=r.enums===String?l.onnx.AttributeProto.AttributeType[e.type]:e.type),e.refAttrName!=null&&e.hasOwnProperty("refAttrName")&&(o.refAttrName=e.refAttrName),o},n.prototype.toJSON=function(){return this.constructor.toObject(this,u.util.toJSONOptions)},n.AttributeType=function(){var e={},r=Object.create(e);return r[e[0]="UNDEFINED"]=0,r[e[1]="FLOAT"]=1,r[e[2]="INT"]=2,r[e[3]="STRING"]=3,r[e[4]="TENSOR"]=4,r[e[5]="GRAPH"]=5,r[e[6]="FLOATS"]=6,r[e[7]="INTS"]=7,r[e[8]="STRINGS"]=8,r[e[9]="TENSORS"]=9,r[e[10]="GRAPHS"]=10,r}(),n}(),d.ValueInfoProto=function(){function n(e){if(e)for(var r=Object.keys(e),o=0;o<r.length;++o)e[r[o]]!=null&&(this[r[o]]=e[r[o]])}return n.prototype.name="",n.prototype.type=null,n.prototype.docString="",n.create=function(e){return new n(e)},n.encode=function(e,r){return r||(r=p.create()),e.name!=null&&e.hasOwnProperty("name")&&r.uint32(10).string(e.name),e.type!=null&&e.hasOwnProperty("type")&&l.onnx.TypeProto.encode(e.type,r.uint32(18).fork()).ldelim(),e.docString!=null&&e.hasOwnProperty("docString")&&r.uint32(26).string(e.docString),r},n.encodeDelimited=function(e,r){return this.encode(e,r).ldelim()},n.decode=function(e,r){e instanceof h||(e=h.create(e));for(var o=r===void 0?e.len:e.pos+r,f=new l.onnx.ValueInfoProto;e.pos<o;){var g=e.uint32();switch(g>>>3){case 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e.docString!=null&&(r.docString=String(e.docString)),r},n.toObject=function(e,r){r||(r={});var o={};return r.defaults&&(o.name="",o.type=null,o.docString=""),e.name!=null&&e.hasOwnProperty("name")&&(o.name=e.name),e.type!=null&&e.hasOwnProperty("type")&&(o.type=l.onnx.TypeProto.toObject(e.type,r)),e.docString!=null&&e.hasOwnProperty("docString")&&(o.docString=e.docString),o},n.prototype.toJSON=function(){return this.constructor.toObject(this,u.util.toJSONOptions)},n}(),d.NodeProto=function(){function n(e){if(this.input=[],this.output=[],this.attribute=[],e)for(var r=Object.keys(e),o=0;o<r.length;++o)e[r[o]]!=null&&(this[r[o]]=e[r[o]])}return n.prototype.input=c.emptyArray,n.prototype.output=c.emptyArray,n.prototype.name="",n.prototype.opType="",n.prototype.domain="",n.prototype.attribute=c.emptyArray,n.prototype.docString="",n.create=function(e){return new n(e)},n.encode=function(e,r){if(r||(r=p.create()),e.input!=null&&e.input.length)for(var o=0;o<e.input.length;++o)r.uint32(10).string(e.input[o]);if(e.output!=null&&e.output.length)for(o=0;o<e.output.length;++o)r.uint32(18).string(e.output[o]);if(e.name!=null&&e.hasOwnProperty("name")&&r.uint32(26).string(e.name),e.opType!=null&&e.hasOwnProperty("opType")&&r.uint32(34).string(e.opType),e.attribute!=null&&e.attribute.length)for(o=0;o<e.attribute.length;++o)l.onnx.AttributeProto.encode(e.attribute[o],r.uint32(42).fork()).ldelim();return e.docString!=null&&e.hasOwnProperty("docString")&&r.uint32(50).string(e.docString),e.domain!=null&&e.hasOwnProperty("domain")&&r.uint32(58).string(e.domain),r},n.encodeDelimited=function(e,r){return this.encode(e,r).ldelim()},n.decode=function(e,r){e instanceof h||(e=h.create(e));for(var o=r===void 0?e.len:e.pos+r,f=new l.onnx.NodeProto;e.pos<o;){var g=e.uint32();switch(g>>>3){case 1:f.input&&f.input.length||(f.input=[]),f.input.push(e.string());break;case 2:f.output&&f.output.length||(f.output=[]),f.output.push(e.string());break;case 3:f.name=e.string();break;case 4:f.opType=e.string();break;case 7:f.domain=e.string();break;case 5:f.attribute&&f.attribute.length||(f.attribute=[]),f.attribute.push(l.onnx.AttributeProto.decode(e,e.uint32()));break;case 6:f.docString=e.string();break;default:e.skipType(7&g)}}return f},n.decodeDelimited=function(e){return e instanceof h||(e=new h(e)),this.decode(e,e.uint32())},n.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.input!=null&&e.hasOwnProperty("input")){if(!Array.isArray(e.input))return"input: array expected";for(var r=0;r<e.input.length;++r)if(!c.isString(e.input[r]))return"input: string[] expected"}if(e.output!=null&&e.hasOwnProperty("output")){if(!Array.isArray(e.output))return"output: array expected";for(r=0;r<e.output.length;++r)if(!c.isString(e.output[r]))return"output: string[] expected"}if(e.name!=null&&e.hasOwnProperty("name")&&!c.isString(e.name))return"name: string expected";if(e.opType!=null&&e.hasOwnProperty("opType")&&!c.isString(e.opType))return"opType: string expected";if(e.domain!=null&&e.hasOwnProperty("domain")&&!c.isString(e.domain))return"domain: string expected";if(e.attribute!=null&&e.hasOwnProperty("attribute")){if(!Array.isArray(e.attribute))return"attribute: array expected";for(r=0;r<e.attribute.length;++r){var o=l.onnx.AttributeProto.verify(e.attribute[r]);if(o)return"attribute."+o}}return e.docString!=null&&e.hasOwnProperty("docString")&&!c.isString(e.docString)?"docString: string expected":null},n.fromObject=function(e){if(e instanceof l.onnx.NodeProto)return e;var r=new l.onnx.NodeProto;if(e.input){if(!Array.isArray(e.input))throw TypeError(".onnx.NodeProto.input: array expected");r.input=[];for(var o=0;o<e.input.length;++o)r.input[o]=String(e.input[o])}if(e.output){if(!Array.isArray(e.output))throw TypeError(".onnx.NodeProto.output: array expected");for(r.output=[],o=0;o<e.output.length;++o)r.output[o]=String(e.output[o])}if(e.name!=null&&(r.name=String(e.name)),e.opType!=null&&(r.opType=String(e.opType)),e.domain!=null&&(r.domain=String(e.domain)),e.attribute){if(!Array.isArray(e.attribute))throw TypeError(".onnx.NodeProto.attribute: array expected");for(r.attribute=[],o=0;o<e.attribute.length;++o){if(typeof e.attribute[o]!="object")throw TypeError(".onnx.NodeProto.attribute: object expected");r.attribute[o]=l.onnx.AttributeProto.fromObject(e.attribute[o])}}return e.docString!=null&&(r.docString=String(e.docString)),r},n.toObject=function(e,r){r||(r={});var o={};if((r.arrays||r.defaults)&&(o.input=[],o.output=[],o.attribute=[]),r.defaults&&(o.name="",o.opType="",o.docString="",o.domain=""),e.input&&e.input.length){o.input=[];for(var f=0;f<e.input.length;++f)o.input[f]=e.input[f]}if(e.output&&e.output.length)for(o.output=[],f=0;f<e.output.length;++f)o.output[f]=e.output[f];if(e.name!=null&&e.hasOwnProperty("name")&&(o.name=e.name),e.opType!=null&&e.hasOwnProperty("opType")&&(o.opType=e.opType),e.attribute&&e.attribute.length)for(o.attribute=[],f=0;f<e.attribute.length;++f)o.attribute[f]=l.onnx.AttributeProto.toObject(e.attribute[f],r);return e.docString!=null&&e.hasOwnProperty("docString")&&(o.docString=e.docString),e.domain!=null&&e.hasOwnProperty("domain")&&(o.domain=e.domain),o},n.prototype.toJSON=function(){return this.constructor.toObject(this,u.util.toJSONOptions)},n}(),d.ModelProto=function(){function n(e){if(this.opsetImport=[],this.metadataProps=[],e)for(var r=Object.keys(e),o=0;o<r.length;++o)e[r[o]]!=null&&(this[r[o]]=e[r[o]])}return n.prototype.irVersion=c.Long?c.Long.fromBits(0,0,!1):0,n.prototype.opsetImport=c.emptyArray,n.prototype.producerName="",n.prototype.producerVersion="",n.prototype.domain="",n.prototype.modelVersion=c.Long?c.Long.fromBits(0,0,!1):0,n.prototype.docString="",n.prototype.graph=null,n.prototype.metadataProps=c.emptyArray,n.create=function(e){return new n(e)},n.encode=function(e,r){if(r||(r=p.create()),e.irVersion!=null&&e.hasOwnProperty("irVersion")&&r.uint32(8).int64(e.irVersion),e.producerName!=null&&e.hasOwnProperty("producerName")&&r.uint32(18).string(e.producerName),e.producerVersion!=null&&e.hasOwnProperty("producerVersion")&&r.uint32(26).string(e.producerVersion),e.domain!=null&&e.hasOwnProperty("domain")&&r.uint32(34).string(e.domain),e.modelVersion!=null&&e.hasOwnProperty("modelVersion")&&r.uint32(40).int64(e.modelVersion),e.docString!=null&&e.hasOwnProperty("docString")&&r.uint32(50).string(e.docString),e.graph!=null&&e.hasOwnProperty("graph")&&l.onnx.GraphProto.encode(e.graph,r.uint32(58).fork()).ldelim(),e.opsetImport!=null&&e.opsetImport.length)for(var o=0;o<e.opsetImport.length;++o)l.onnx.OperatorSetIdProto.encode(e.opsetImport[o],r.uint32(66).fork()).ldelim();if(e.metadataProps!=null&&e.metadataProps.length)for(o=0;o<e.metadataProps.length;++o)l.onnx.StringStringEntryProto.encode(e.metadataProps[o],r.uint32(114).fork()).ldelim();return r},n.encodeDelimited=function(e,r){return this.encode(e,r).ldelim()},n.decode=function(e,r){e instanceof h||(e=h.create(e));for(var o=r===void 0?e.len:e.pos+r,f=new l.onnx.ModelProto;e.pos<o;){var g=e.uint32();switch(g>>>3){case 1:f.irVersion=e.int64();break;case 8:f.opsetImport&&f.opsetImport.length||(f.opsetImport=[]),f.opsetImport.push(l.onnx.OperatorSetIdProto.decode(e,e.uint32()));break;case 2:f.producerName=e.string();break;case 3:f.producerVersion=e.string();break;case 4:f.domain=e.string();break;case 5:f.modelVersion=e.int64();break;case 6:f.docString=e.string();break;case 7:f.graph=l.onnx.GraphProto.decode(e,e.uint32());break;case 14:f.metadataProps&&f.metadataProps.length||(f.metadataProps=[]),f.metadataProps.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;default:e.skipType(7&g)}}return f},n.decodeDelimited=function(e){return e instanceof h||(e=new h(e)),this.decode(e,e.uint32())},n.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.irVersion!=null&&e.hasOwnProperty("irVersion")&&!(c.isInteger(e.irVersion)||e.irVersion&&c.isInteger(e.irVersion.low)&&c.isInteger(e.irVersion.high)))return"irVersion: integer|Long expected";if(e.opsetImport!=null&&e.hasOwnProperty("opsetImport")){if(!Array.isArray(e.opsetImport))return"opsetImport: array expected";for(var r=0;r<e.opsetImport.length;++r)if(o=l.onnx.OperatorSetIdProto.verify(e.opsetImport[r]))return"opsetImport."+o}if(e.producerName!=null&&e.hasOwnProperty("producerName")&&!c.isString(e.producerName))return"producerName: string expected";if(e.producerVersion!=null&&e.hasOwnProperty("producerVersion")&&!c.isString(e.producerVersion))return"producerVersion: string expected";if(e.domain!=null&&e.hasOwnProperty("domain")&&!c.isString(e.domain))return"domain: string expected";if(e.modelVersion!=null&&e.hasOwnProperty("modelVersion")&&!(c.isInteger(e.modelVersion)||e.modelVersion&&c.isInteger(e.modelVersion.low)&&c.isInteger(e.modelVersion.high)))return"modelVersion: integer|Long expected";if(e.docString!=null&&e.hasOwnProperty("docString")&&!c.isString(e.docString))return"docString: string expected";if(e.graph!=null&&e.hasOwnProperty("graph")&&(o=l.onnx.GraphProto.verify(e.graph)))return"graph."+o;if(e.metadataProps!=null&&e.hasOwnProperty("metadataProps")){if(!Array.isArray(e.metadataProps))return"metadataProps: array expected";for(r=0;r<e.metadataProps.length;++r){var o;if(o=l.onnx.StringStringEntryProto.verify(e.metadataProps[r]))return"metadataProps."+o}}return null},n.fromObject=function(e){if(e instanceof l.onnx.ModelProto)return e;var r=new l.onnx.ModelProto;if(e.irVersion!=null&&(c.Long?(r.irVersion=c.Long.fromValue(e.irVersion)).unsigned=!1:typeof e.irVersion=="string"?r.irVersion=parseInt(e.irVersion,10):typeof e.irVersion=="number"?r.irVersion=e.irVersion:typeof e.irVersion=="object"&&(r.irVersion=new c.LongBits(e.irVersion.low>>>0,e.irVersion.high>>>0).toNumber())),e.opsetImport){if(!Array.isArray(e.opsetImport))throw TypeError(".onnx.ModelProto.opsetImport: array expected");r.opsetImport=[];for(var o=0;o<e.opsetImport.length;++o){if(typeof e.opsetImport[o]!="object")throw TypeError(".onnx.ModelProto.opsetImport: object expected");r.opsetImport[o]=l.onnx.OperatorSetIdProto.fromObject(e.opsetImport[o])}}if(e.producerName!=null&&(r.producerName=String(e.producerName)),e.producerVersion!=null&&(r.producerVersion=String(e.producerVersion)),e.domain!=null&&(r.domain=String(e.domain)),e.modelVersion!=null&&(c.Long?(r.modelVersion=c.Long.fromValue(e.modelVersion)).unsigned=!1:typeof e.modelVersion=="string"?r.modelVersion=parseInt(e.modelVersion,10):typeof e.modelVersion=="number"?r.modelVersion=e.modelVersion:typeof e.modelVersion=="object"&&(r.modelVersion=new c.LongBits(e.modelVersion.low>>>0,e.modelVersion.high>>>0).toNumber())),e.docString!=null&&(r.docString=String(e.docString)),e.graph!=null){if(typeof e.graph!="object")throw TypeError(".onnx.ModelProto.graph: object expected");r.graph=l.onnx.GraphProto.fromObject(e.graph)}if(e.metadataProps){if(!Array.isArray(e.metadataProps))throw TypeError(".onnx.ModelProto.metadataProps: array expected");for(r.metadataProps=[],o=0;o<e.metadataProps.length;++o){if(typeof e.metadataProps[o]!="object")throw TypeError(".onnx.ModelProto.metadataProps: object expected");r.metadataProps[o]=l.onnx.StringStringEntryProto.fromObject(e.metadataProps[o])}}return r},n.toObject=function(e,r){r||(r={});var o={};if((r.arrays||r.defaults)&&(o.opsetImport=[],o.metadataProps=[]),r.defaults){if(c.Long){var f=new c.Long(0,0,!1);o.irVersion=r.longs===String?f.toString():r.longs===Number?f.toNumber():f}else o.irVersion=r.longs===String?"0":0;o.producerName="",o.producerVersion="",o.domain="",c.Long?(f=new c.Long(0,0,!1),o.modelVersion=r.longs===String?f.toString():r.longs===Number?f.toNumber():f):o.modelVersion=r.longs===String?"0":0,o.docString="",o.graph=null}if(e.irVersion!=null&&e.hasOwnProperty("irVersion")&&(typeof e.irVersion=="number"?o.irVersion=r.longs===String?String(e.irVersion):e.irVersion:o.irVersion=r.longs===String?c.Long.prototype.toString.call(e.irVersion):r.longs===Number?new c.LongBits(e.irVersion.low>>>0,e.irVersion.high>>>0).toNumber():e.irVersion),e.producerName!=null&&e.hasOwnProperty("producerName")&&(o.producerName=e.producerName),e.producerVersion!=null&&e.hasOwnProperty("producerVersion")&&(o.producerVersion=e.producerVersion),e.domain!=null&&e.hasOwnProperty("domain")&&(o.domain=e.domain),e.modelVersion!=null&&e.hasOwnProperty("modelVersion")&&(typeof e.modelVersion=="number"?o.modelVersion=r.longs===String?String(e.modelVersion):e.modelVersion:o.modelVersion=r.longs===String?c.Long.prototype.toString.call(e.modelVersion):r.longs===Number?new c.LongBits(e.modelVersion.low>>>0,e.modelVersion.high>>>0).toNumber():e.modelVersion),e.docString!=null&&e.hasOwnProperty("docString")&&(o.docString=e.docString),e.graph!=null&&e.hasOwnProperty("graph")&&(o.graph=l.onnx.GraphProto.toObject(e.graph,r)),e.opsetImport&&e.opsetImport.length){o.opsetImport=[];for(var g=0;g<e.opsetImport.length;++g)o.opsetImport[g]=l.onnx.OperatorSetIdProto.toObject(e.opsetImport[g],r)}if(e.metadataProps&&e.metadataProps.length)for(o.metadataProps=[],g=0;g<e.metadataProps.length;++g)o.metadataProps[g]=l.onnx.StringStringEntryProto.toObject(e.metadataProps[g],r);return o},n.prototype.toJSON=function(){return this.constructor.toObject(this,u.util.toJSONOptions)},n}(),d.StringStringEntryProto=function(){function n(e){if(e)for(var r=Object.keys(e),o=0;o<r.length;++o)e[r[o]]!=null&&(this[r[o]]=e[r[o]])}return n.prototype.key="",n.prototype.value="",n.create=function(e){return new n(e)},n.encode=function(e,r){return r||(r=p.create()),e.key!=null&&e.hasOwnProperty("key")&&r.uint32(10).string(e.key),e.value!=null&&e.hasOwnProperty("value")&&r.uint32(18).string(e.value),r},n.encodeDelimited=function(e,r){return this.encode(e,r).ldelim()},n.decode=function(e,r){e instanceof h||(e=h.create(e));for(var o=r===void 0?e.len:e.pos+r,f=new l.onnx.StringStringEntryProto;e.pos<o;){var g=e.uint32();switch(g>>>3){case 1:f.key=e.string();break;case 2:f.value=e.string();break;default:e.skipType(7&g)}}return f},n.decodeDelimited=function(e){return e instanceof h||(e=new h(e)),this.decode(e,e.uint32())},n.verify=function(e){return typeof e!="object"||e===null?"object expected":e.key!=null&&e.hasOwnProperty("key")&&!c.isString(e.key)?"key: string expected":e.value!=null&&e.hasOwnProperty("value")&&!c.isString(e.value)?"value: string expected":null},n.fromObject=function(e){if(e instanceof l.onnx.StringStringEntryProto)return e;var r=new l.onnx.StringStringEntryProto;return e.key!=null&&(r.key=String(e.key)),e.value!=null&&(r.value=String(e.value)),r},n.toObject=function(e,r){r||(r={});var o={};return r.defaults&&(o.key="",o.value=""),e.key!=null&&e.hasOwnProperty("key")&&(o.key=e.key),e.value!=null&&e.hasOwnProperty("value")&&(o.value=e.value),o},n.prototype.toJSON=function(){return this.constructor.toObject(this,u.util.toJSONOptions)},n}(),d.TensorAnnotation=function(){function n(e){if(this.quantParameterTensorNames=[],e)for(var r=Object.keys(e),o=0;o<r.length;++o)e[r[o]]!=null&&(this[r[o]]=e[r[o]])}return n.prototype.tensorName="",n.prototype.quantParameterTensorNames=c.emptyArray,n.create=function(e){return new n(e)},n.encode=function(e,r){if(r||(r=p.create()),e.tensorName!=null&&e.hasOwnProperty("tensorName")&&r.uint32(10).string(e.tensorName),e.quantParameterTensorNames!=null&&e.quantParameterTensorNames.length)for(var o=0;o<e.quantParameterTensorNames.length;++o)l.onnx.StringStringEntryProto.encode(e.quantParameterTensorNames[o],r.uint32(18).fork()).ldelim();return r},n.encodeDelimited=function(e,r){return this.encode(e,r).ldelim()},n.decode=function(e,r){e instanceof h||(e=h.create(e));for(var o=r===void 0?e.len:e.pos+r,f=new l.onnx.TensorAnnotation;e.pos<o;){var g=e.uint32();switch(g>>>3){case 1:f.tensorName=e.string();break;case 2:f.quantParameterTensorNames&&f.quantParameterTensorNames.length||(f.quantParameterTensorNames=[]),f.quantParameterTensorNames.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;default:e.skipType(7&g)}}return f},n.decodeDelimited=function(e){return e instanceof h||(e=new h(e)),this.decode(e,e.uint32())},n.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.tensorName!=null&&e.hasOwnProperty("tensorName")&&!c.isString(e.tensorName))return"tensorName: string expected";if(e.quantParameterTensorNames!=null&&e.hasOwnProperty("quantParameterTensorNames")){if(!Array.isArray(e.quantParameterTensorNames))return"quantParameterTensorNames: array expected";for(var r=0;r<e.quantParameterTensorNames.length;++r){var o=l.onnx.StringStringEntryProto.verify(e.quantParameterTensorNames[r]);if(o)return"quantParameterTensorNames."+o}}return null},n.fromObject=function(e){if(e instanceof l.onnx.TensorAnnotation)return e;var r=new l.onnx.TensorAnnotation;if(e.tensorName!=null&&(r.tensorName=String(e.tensorName)),e.quantParameterTensorNames){if(!Array.isArray(e.quantParameterTensorNames))throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: array expected");r.quantParameterTensorNames=[];for(var o=0;o<e.quantParameterTensorNames.length;++o){if(typeof e.quantParameterTensorNames[o]!="object")throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: object expected");r.quantParameterTensorNames[o]=l.onnx.StringStringEntryProto.fromObject(e.quantParameterTensorNames[o])}}return r},n.toObject=function(e,r){r||(r={});var o={};if((r.arrays||r.defaults)&&(o.quantParameterTensorNames=[]),r.defaults&&(o.tensorName=""),e.tensorName!=null&&e.hasOwnProperty("tensorName")&&(o.tensorName=e.tensorName),e.quantParameterTensorNames&&e.quantParameterTensorNames.length){o.quantParameterTensorNames=[];for(var f=0;f<e.quantParameterTensorNames.length;++f)o.quantParameterTensorNames[f]=l.onnx.StringStringEntryProto.toObject(e.quantParameterTensorNames[f],r)}return o},n.prototype.toJSON=function(){return this.constructor.toObject(this,u.util.toJSONOptions)},n}(),d.GraphProto=function(){function n(e){if(this.node=[],this.initializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],e)for(var r=Object.keys(e),o=0;o<r.length;++o)e[r[o]]!=null&&(this[r[o]]=e[r[o]])}return n.prototype.node=c.emptyArray,n.prototype.name="",n.prototype.initializer=c.emptyArray,n.prototype.docString="",n.prototype.input=c.emptyArray,n.prototype.output=c.emptyArray,n.prototype.valueInfo=c.emptyArray,n.prototype.quantizationAnnotation=c.emptyArray,n.create=function(e){return new n(e)},n.encode=function(e,r){if(r||(r=p.create()),e.node!=null&&e.node.length)for(var o=0;o<e.node.length;++o)l.onnx.NodeProto.encode(e.node[o],r.uint32(10).fork()).ldelim();if(e.name!=null&&e.hasOwnProperty("name")&&r.uint32(18).string(e.name),e.initializer!=null&&e.initializer.length)for(o=0;o<e.initializer.length;++o)l.onnx.TensorProto.encode(e.initializer[o],r.uint32(42).fork()).ldelim();if(e.docString!=null&&e.hasOwnProperty("docString")&&r.uint32(82).string(e.docString),e.input!=null&&e.input.length)for(o=0;o<e.input.length;++o)l.onnx.ValueInfoProto.encode(e.input[o],r.uint32(90).fork()).ldelim();if(e.output!=null&&e.output.length)for(o=0;o<e.output.length;++o)l.onnx.ValueInfoProto.encode(e.output[o],r.uint32(98).fork()).ldelim();if(e.valueInfo!=null&&e.valueInfo.length)for(o=0;o<e.valueInfo.length;++o)l.onnx.ValueInfoProto.encode(e.valueInfo[o],r.uint32(106).fork()).ldelim();if(e.quantizationAnnotation!=null&&e.quantizationAnnotation.length)for(o=0;o<e.quantizationAnnotation.length;++o)l.onnx.TensorAnnotation.encode(e.quantizationAnnotation[o],r.uint32(114).fork()).ldelim();return r},n.encodeDelimited=function(e,r){return this.encode(e,r).ldelim()},n.decode=function(e,r){e instanceof h||(e=h.create(e));for(var o=r===void 0?e.len:e.pos+r,f=new l.onnx.GraphProto;e.pos<o;){var g=e.uint32();switch(g>>>3){case 1:f.node&&f.node.length||(f.node=[]),f.node.push(l.onnx.NodeProto.decode(e,e.uint32()));break;case 2:f.name=e.string();break;case 5:f.initializer&&f.initializer.length||(f.initializer=[]),f.initializer.push(l.onnx.TensorProto.decode(e,e.uint32()));break;case 10:f.docString=e.string();break;case 11:f.input&&f.input.length||(f.input=[]),f.input.push(l.onnx.ValueInfoProto.decode(e,e.uint32()));break;case 12:f.output&&f.output.length||(f.output=[]),f.output.push(l.onnx.ValueInfoProto.decode(e,e.uint32()));break;case 13:f.valueInfo&&f.valueInfo.length||(f.valueInfo=[]),f.valueInfo.push(l.onnx.ValueInfoProto.decode(e,e.uint32()));break;case 14:f.quantizationAnnotation&&f.quantizationAnnotation.length||(f.quantizationAnnotation=[]),f.quantizationAnnotation.push(l.onnx.TensorAnnotation.decode(e,e.uint32()));break;default:e.skipType(7&g)}}return f},n.decodeDelimited=function(e){return e instanceof h||(e=new h(e)),this.decode(e,e.uint32())},n.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.node!=null&&e.hasOwnProperty("node")){if(!Array.isArray(e.node))return"node: array expected";for(var r=0;r<e.node.length;++r)if(o=l.onnx.NodeProto.verify(e.node[r]))return"node."+o}if(e.name!=null&&e.hasOwnProperty("name")&&!c.isString(e.name))return"name: string expected";if(e.initializer!=null&&e.hasOwnProperty("initializer")){if(!Array.isArray(e.initializer))return"initializer: array expected";for(r=0;r<e.initializer.length;++r)if(o=l.onnx.TensorProto.verify(e.initializer[r]))return"initializer."+o}if(e.docString!=null&&e.hasOwnProperty("docString")&&!c.isString(e.docString))return"docString: string expected";if(e.input!=null&&e.hasOwnProperty("input")){if(!Array.isArray(e.input))return"input: array expected";for(r=0;r<e.input.length;++r)if(o=l.onnx.ValueInfoProto.verify(e.input[r]))return"input."+o}if(e.output!=null&&e.hasOwnProperty("output")){if(!Array.isArray(e.output))return"output: array expected";for(r=0;r<e.output.length;++r)if(o=l.onnx.ValueInfoProto.verify(e.output[r]))return"output."+o}if(e.valueInfo!=null&&e.hasOwnProperty("valueInfo")){if(!Array.isArray(e.valueInfo))return"valueInfo: array expected";for(r=0;r<e.valueInfo.length;++r)if(o=l.onnx.ValueInfoProto.verify(e.valueInfo[r]))return"valueInfo."+o}if(e.quantizationAnnotation!=null&&e.hasOwnProperty("quantizationAnnotation")){if(!Array.isArray(e.quantizationAnnotation))return"quantizationAnnotation: array expected";for(r=0;r<e.quantizationAnnotation.length;++r){var o;if(o=l.onnx.TensorAnnotation.verify(e.quantizationAnnotation[r]))return"quantizationAnnotation."+o}}return null},n.fromObject=function(e){if(e instanceof l.onnx.GraphProto)return e;var r=new l.onnx.GraphProto;if(e.node){if(!Array.isArray(e.node))throw TypeError(".onnx.GraphProto.node: array expected");r.node=[];for(var o=0;o<e.node.length;++o){if(typeof e.node[o]!="object")throw TypeError(".onnx.GraphProto.node: object expected");r.node[o]=l.onnx.NodeProto.fromObject(e.node[o])}}if(e.name!=null&&(r.name=String(e.name)),e.initializer){if(!Array.isArray(e.initializer))throw TypeError(".onnx.GraphProto.initializer: array expected");for(r.initializer=[],o=0;o<e.initializer.length;++o){if(typeof e.initializer[o]!="object")throw TypeError(".onnx.GraphProto.initializer: object expected");r.initializer[o]=l.onnx.TensorProto.fromObject(e.initializer[o])}}if(e.docString!=null&&(r.docString=String(e.docString)),e.input){if(!Array.isArray(e.input))throw TypeError(".onnx.GraphProto.input: array expected");for(r.input=[],o=0;o<e.input.length;++o){if(typeof e.input[o]!="object")throw TypeError(".onnx.GraphProto.input: object expected");r.input[o]=l.onnx.ValueInfoProto.fromObject(e.input[o])}}if(e.output){if(!Array.isArray(e.output))throw TypeError(".onnx.GraphProto.output: array expected");for(r.output=[],o=0;o<e.output.length;++o){if(typeof e.output[o]!="object")throw TypeError(".onnx.GraphProto.output: object expected");r.output[o]=l.onnx.ValueInfoProto.fromObject(e.output[o])}}if(e.valueInfo){if(!Array.isArray(e.valueInfo))throw TypeError(".onnx.GraphProto.valueInfo: array expected");for(r.valueInfo=[],o=0;o<e.valueInfo.length;++o){if(typeof e.valueInfo[o]!="object")throw TypeError(".onnx.GraphProto.valueInfo: object expected");r.valueInfo[o]=l.onnx.ValueInfoProto.fromObject(e.valueInfo[o])}}if(e.quantizationAnnotation){if(!Array.isArray(e.quantizationAnnotation))throw TypeError(".onnx.GraphProto.quantizationAnnotation: array expected");for(r.quantizationAnnotation=[],o=0;o<e.quantizationAnnotation.length;++o){if(typeof e.quantizationAnnotation[o]!="object")throw TypeError(".onnx.GraphProto.quantizationAnnotation: object expected");r.quantizationAnnotation[o]=l.onnx.TensorAnnotation.fromObject(e.quantizationAnnotation[o])}}return r},n.toObject=function(e,r){r||(r={});var o={};if((r.arrays||r.defaults)&&(o.node=[],o.initializer=[],o.input=[],o.output=[],o.valueInfo=[],o.quantizationAnnotation=[]),r.defaults&&(o.name="",o.docString=""),e.node&&e.node.length){o.node=[];for(var f=0;f<e.node.length;++f)o.node[f]=l.onnx.NodeProto.toObject(e.node[f],r)}if(e.name!=null&&e.hasOwnProperty("name")&&(o.name=e.name),e.initializer&&e.initializer.length)for(o.initializer=[],f=0;f<e.initializer.length;++f)o.initializer[f]=l.onnx.TensorProto.toObject(e.initializer[f],r);if(e.docString!=null&&e.hasOwnProperty("docString")&&(o.docString=e.docString),e.input&&e.input.length)for(o.input=[],f=0;f<e.input.length;++f)o.input[f]=l.onnx.ValueInfoProto.toObject(e.input[f],r);if(e.output&&e.output.length)for(o.output=[],f=0;f<e.output.length;++f)o.output[f]=l.onnx.ValueInfoProto.toObject(e.output[f],r);if(e.valueInfo&&e.valueInfo.length)for(o.valueInfo=[],f=0;f<e.valueInfo.length;++f)o.valueInfo[f]=l.onnx.ValueInfoProto.toObject(e.valueInfo[f],r);if(e.quantizationAnnotation&&e.quantizationAnnotation.length)for(o.quantizationAnnotation=[],f=0;f<e.quantizationAnnotation.length;++f)o.quantizationAnnotation[f]=l.onnx.TensorAnnotation.toObject(e.quantizationAnnotation[f],r);return o},n.prototype.toJSON=function(){return this.constructor.toObject(this,u.util.toJSONOptions)},n}(),d.TensorProto=function(){function n(e){if(this.dims=[],this.floatData=[],this.int32Data=[],this.stringData=[],this.int64Data=[],this.externalData=[],this.doubleData=[],this.uint64Data=[],e)for(var r=Object.keys(e),o=0;o<r.length;++o)e[r[o]]!=null&&(this[r[o]]=e[r[o]])}return n.prototype.dims=c.emptyArray,n.prototype.dataType=0,n.prototype.segment=null,n.prototype.floatData=c.emptyArray,n.prototype.int32Data=c.emptyArray,n.prototype.stringData=c.emptyArray,n.prototype.int64Data=c.emptyArray,n.prototype.name="",n.prototype.docString="",n.prototype.rawData=c.newBuffer([]),n.prototype.externalData=c.emptyArray,n.prototype.dataLocation=0,n.prototype.doubleData=c.emptyArray,n.prototype.uint64Data=c.emptyArray,n.create=function(e){return new n(e)},n.encode=function(e,r){if(r||(r=p.create()),e.dims!=null&&e.dims.length){r.uint32(10).fork();for(var o=0;o<e.dims.length;++o)r.int64(e.dims[o]);r.ldelim()}if(e.dataType!=null&&e.hasOwnProperty("dataType")&&r.uint32(16).int32(e.dataType),e.segment!=null&&e.hasOwnProperty("segment")&&l.onnx.TensorProto.Segment.encode(e.segment,r.uint32(26).fork()).ldelim(),e.floatData!=null&&e.floatData.length){for(r.uint32(34).fork(),o=0;o<e.floatData.length;++o)r.float(e.floatData[o]);r.ldelim()}if(e.int32Data!=null&&e.int32Data.length){for(r.uint32(42).fork(),o=0;o<e.int32Data.length;++o)r.int32(e.int32Data[o]);r.ldelim()}if(e.stringData!=null&&e.stringData.length)for(o=0;o<e.stringData.length;++o)r.uint32(50).bytes(e.stringData[o]);if(e.int64Data!=null&&e.int64Data.length){for(r.uint32(58).fork(),o=0;o<e.int64Data.length;++o)r.int64(e.int64Data[o]);r.ldelim()}if(e.name!=null&&e.hasOwnProperty("name")&&r.uint32(66).string(e.name),e.rawData!=null&&e.hasOwnProperty("rawData")&&r.uint32(74).bytes(e.rawData),e.doubleData!=null&&e.doubleData.length){for(r.uint32(82).fork(),o=0;o<e.doubleData.length;++o)r.double(e.doubleData[o]);r.ldelim()}if(e.uint64Data!=null&&e.uint64Data.length){for(r.uint32(90).fork(),o=0;o<e.uint64Data.length;++o)r.uint64(e.uint64Data[o]);r.ldelim()}if(e.docString!=null&&e.hasOwnProperty("docString")&&r.uint32(98).string(e.docString),e.externalData!=null&&e.externalData.length)for(o=0;o<e.externalData.length;++o)l.onnx.StringStringEntryProto.encode(e.externalData[o],r.uint32(106).fork()).ldelim();return e.dataLocation!=null&&e.hasOwnProperty("dataLocation")&&r.uint32(112).int32(e.dataLocation),r},n.encodeDelimited=function(e,r){return this.encode(e,r).ldelim()},n.decode=function(e,r){e instanceof h||(e=h.create(e));for(var o=r===void 0?e.len:e.pos+r,f=new l.onnx.TensorProto;e.pos<o;){var g=e.uint32();switch(g>>>3){case 1:if(f.dims&&f.dims.length||(f.dims=[]),(7&g)==2)for(var b=e.uint32()+e.pos;e.pos<b;)f.dims.push(e.int64());else f.dims.push(e.int64());break;case 2:f.dataType=e.int32();break;case 3:f.segment=l.onnx.TensorProto.Segment.decode(e,e.uint32());break;case 4:if(f.floatData&&f.floatData.length||(f.floatData=[]),(7&g)==2)for(b=e.uint32()+e.pos;e.pos<b;)f.floatData.push(e.float());else f.floatData.push(e.float());break;case 5:if(f.int32Data&&f.int32Data.length||(f.int32Data=[]),(7&g)==2)for(b=e.uint32()+e.pos;e.pos<b;)f.int32Data.push(e.int32());else f.int32Data.push(e.int32());break;case 6:f.stringData&&f.stringData.length||(f.stringData=[]),f.stringData.push(e.bytes());break;case 7:if(f.int64Data&&f.int64Data.length||(f.int64Data=[]),(7&g)==2)for(b=e.uint32()+e.pos;e.pos<b;)f.int64Data.push(e.int64());else f.int64Data.push(e.int64());break;case 8:f.name=e.string();break;case 12:f.docString=e.string();break;case 9:f.rawData=e.bytes();break;case 13:f.externalData&&f.externalData.length||(f.externalData=[]),f.externalData.push(l.onnx.StringStringEntryProto.decode(e,e.uint32()));break;case 14:f.dataLocation=e.int32();break;case 10:if(f.doubleData&&f.doubleData.length||(f.doubleData=[]),(7&g)==2)for(b=e.uint32()+e.pos;e.pos<b;)f.doubleData.push(e.double());else f.doubleData.push(e.double());break;case 11:if(f.uint64Data&&f.uint64Data.length||(f.uint64Data=[]),(7&g)==2)for(b=e.uint32()+e.pos;e.pos<b;)f.uint64Data.push(e.uint64());else f.uint64Data.push(e.uint64());break;default:e.skipType(7&g)}}return f},n.decodeDelimited=function(e){return e instanceof h||(e=new h(e)),this.decode(e,e.uint32())},n.verify=function(e){if(typeof e!="object"||e===null)return"object expected";if(e.dims!=null&&e.hasOwnProperty("dims")){if(!Array.isArray(e.dims))return"dims: array expected";for(var r=0;r<e.dims.length;++r)if(!(c.isInteger(e.dims[r])||e.dims[r]&&c.isInteger(e.dims[r].low)&&c.isInteger(e.dims[r].high)))return"dims: integer|Long[] expected"}if(e.dataType!=null&&e.hasOwnProperty("dataType")&&!c.isInteger(e.dataType))return"dataType: integer expected";if(e.segment!=null&&e.hasOwnProperty("segment")&&(o=l.onnx.TensorProto.Segment.verify(e.segment)))return"segment."+o;if(e.floatData!=null&&e.hasOwnProperty("floatData")){if(!Array.isArray(e.floatData))return"floatData: array expected";for(r=0;r<e.floatData.length;++r)if(typeof e.floatData[r]!="number")return"floatData: number[] expected"}if(e.int32Data!=null&&e.hasOwnProperty("int32Data")){if(!Array.isArray(e.int32Data))return"int32Data: array expected";for(r=0;r<e.int32Data.length;++r)if(!c.isInteger(e.int32Data[r]))return"int32Data: integer[] expected"}if(e.stringData!=null&&e.hasOwnProperty("stringData")){if(!Array.isArray(e.stringData))return"stringData: array expected";for(r=0;r<e.stringData.length;++r)if(!(e.stringData[r]&&typeof e.stringData[r].length=="number"||c.isString(e.stringData[r])))return"stringData: buffer[] expected"}if(e.int64Data!=null&&e.hasOwnProperty("int64Data")){if(!Array.isArray(e.int64Data))return"int64Data: array expected";for(r=0;r<e.int64Data.length;++r)if(!(c.isInteger(e.int64Data[r])||e.int64Data[r]&&c.isInteger(e.int64Data[r].low)&&c.isInteger(e.int64Data[r].high)))return"int64Data: integer|Long[] expected"}if(e.name!=null&&e.hasOwnProperty("name")&&!c.isString(e.name))return"name: string expected";if(e.docString!=null&&e.hasOwnProperty("docString")&&!c.isString(e.docString))return"docString: string expected";if(e.rawData!=null&&e.hasOwnProperty("rawData")&&!(e.rawData&&typeof e.rawData.length=="number"||c.isString(e.rawData)))return"rawData: buffer expected";if(e.externalData!=null&&e.hasOwnProperty("externalData")){if(!Array.isArray(e.externalData))return"externalData: array expected";for(r=0;r<e.externalData.length;++r){var o;if(o=l.onnx.StringStringEntryProto.verify(e.externalData[r]))return"externalData."+o}}if(e.dataLocation!=null&&e.hasOwnProperty("dataLocation"))switch(e.dataLocation){default:return"dataLocation: enum value expected";case 0:case 1:}if(e.doubleData!=null&&e.hasOwnProperty("doubleData")){if(!Array.isArray(e.doubleData))return"doubleData: array expected";for(r=0;r<e.doubleData.length;++r)if(typeof e.doubleData[r]!="number")return"doubleData: number[] expected"}if(e.uint64Data!=null&&e.hasOwnProperty("uint64Data")){if(!Array.isArray(e.uint64Data))return"uint64Data: array expected";for(r=0;r<e.uint64Data.length;++r)if(!(c.isInteger(e.uint64Data[r])||e.uint64Data[r]&&c.isInteger(e.uint64Data[r].low)&&c.isInteger(e.uint64Data[r].high)))return"uint64Data: integer|Long[] expected"}return null},n.fromObject=function(e){if(e instanceof l.onnx.TensorProto)return e;var r=new l.onnx.TensorProto;if(e.dims){if(!Array.isArray(e.dims))throw TypeError(".onnx.TensorProto.dims: array expected");r.dims=[];for(var o=0;o<e.dims.length;++o)c.Long?(r.dims[o]=c.Long.fromValue(e.dims[o])).unsigned=!1:typeof e.dims[o]=="string"?r.dims[o]=parseInt(e.dims[o],10):typeof e.dims[o]=="number"?r.dims[o]=e.dims[o]:typeof e.dims[o]=="object"&&(r.dims[o]=new c.LongBits(e.dims[o].low>>>0,e.dims[o].high>>>0).toNumber())}if(e.dataType!=null&&(r.dataType=0|e.dataType),e.segment!=null){if(typeof e.segment!="object")throw TypeError(".onnx.TensorProto.segment: object expected");r.segment=l.onnx.TensorProto.Segment.fromObject(e.segment)}if(e.floatData){if(!Array.isArray(e.floatData))throw TypeError(".onnx.TensorProto.floatData: array expected");for(r.floatData=[],o=0;o<e.floatData.length;++o)r.floatData[o]=Number(e.floatData[o])}if(e.int32Data){if(!Array.isArray(e.int32Data))throw TypeError(".onnx.TensorProto.int32Data: array expected");for(r.int32Data=[],o=0;o<e.int32Data.length;++o)r.int32Data[o]=0|e.int32Data[o]}if(e.stringData){if(!Array.isArray(e.stringData))throw TypeError(".onnx.TensorProto.stringData: array expected");for(r.stringData=[],o=0;o<e.stringData.length;++o)typeof e.stringData[o]=="string"?c.base64.decode(e.stringData[o],r.stringData[o]=c.newBuffer(c.base64.length(e.stringData[o])),0):e.stringData[o].length&&(r.stringData[o]=e.stringData[o])}if(e.int64Data){if(!Array.isArray(e.int64Data))throw TypeError(".onnx.TensorProto.int64Data: array expected");for(r.int64Data=[],o=0;o<e.int64Data.length;++o)c.Long?(r.int64Data[o]=c.Long.fromValue(e.int64Data[o])).unsigned=!1:typeof e.int64Data[o]=="string"?r.int64Data[o]=parseInt(e.int64Data[o],10):typeof e.int64Data[o]=="number"?r.int64Data[o]=e.int64Data[o]:typeof e.int64Data[o]=="object"&&(r.int64Data[o]=new c.LongBits(e.int64Data[o].low>>>0,e.int64Data[o].high>>>0).toNumber())}if(e.name!=null&&(r.name=String(e.name)),e.docString!=null&&(r.docString=String(e.docString)),e.rawData!=null&&(typeof e.rawData=="string"?c.base64.decode(e.rawData,r.rawData=c.newBuffer(c.base64.length(e.rawData)),0):e.rawData.length&&(r.rawData=e.rawData)),e.externalData){if(!Array.isArray(e.externalData))throw TypeError(".onnx.TensorProto.externalData: array expected");for(r.externalData=[],o=0;o<e.externalData.length;++o){if(typeof e.externalData[o]!="object")throw TypeError(".onnx.TensorProto.externalData: object expected");r.externalData[o]=l.onnx.StringStringEntryProto.fromObject(e.externalData[o])}}switch(e.dataLocation){case"DEFAULT":case 0:r.dataLocation=0;break;case"EXTERNAL":case 1:r.dataLocation=1}if(e.doubleData){if(!Array.isArray(e.doubleData))throw TypeError(".onnx.TensorProto.doubleData: array expected");for(r.doubleData=[],o=0;o<e.doubleData.length;++o)r.doubleData[o]=Number(e.doubleData[o])}if(e.uint64Data){if(!Array.isArray(e.uint64Data))throw TypeError(".onnx.TensorProto.uint64Data: array expected");for(r.uint64Data=[],o=0;o<e.uint64Data.length;++o)c.Long?(r.uint64Data[o]=c.Long.fromValue(e.uint64Data[o])).unsigned=!0:typeof e.uint64Data[o]=="string"?r.uint64Data[o]=parseInt(e.uint64Data[o],10):typeof e.uint64Data[o]=="number"?r.uint64Data[o]=e.uint64Data[o]:typeof e.uint64Data[o]=="object"&&(r.uint64Data[o]=new c.LongBits(e.uint64Data[o].low>>>0,e.uint64Data[o].high>>>0).toNumber(!0))}return r},n.toObject=function(e,r){r||(r={});var o={};if((r.arrays||r.defaults)&&(o.dims=[],o.floatData=[],o.int32Data=[],o.stringData=[],o.int64Data=[],o.doubleData=[],o.uint64Data=[],o.externalData=[]),r.defaults&&(o.dataType=0,o.segment=null,o.name="",r.bytes===String?o.rawData="":(o.rawData=[],r.bytes!==Array&&(o.rawData=c.newBuffer(o.rawData))),o.docString="",o.dataLocation=r.enums===String?"DEFAULT":0),e.dims&&e.dims.length){o.dims=[];for(var f=0;f<e.dims.length;++f)typeof e.dims[f]=="number"?o.dims[f]=r.longs===String?String(e.dims[f]):e.dims[f]:o.dims[f]=r.longs===String?c.Long.prototype.toString.call(e.dims[f]):r.longs===Number?new c.LongBits(e.dims[f].low>>>0,e.dims[f].high>>>0).toNumber():e.dims[f]}if(e.dataType!=null&&e.hasOwnProperty("dataType")&&(o.dataType=e.dataType),e.segment!=null&&e.hasOwnProperty("segment")&&(o.segment=l.onnx.TensorProto.Segment.toObject(e.segment,r)),e.floatData&&e.floatData.length)for(o.floatData=[],f=0;f<e.floatData.length;++f)o.floatData[f]=r.json&&!isFinite(e.floatData[f])?String(e.floatData[f]):e.floatData[f];if(e.int32Data&&e.int32Data.length)for(o.int32Data=[],f=0;f<e.int32Data.length;++f)o.int32Data[f]=e.int32Data[f];if(e.stringData&&e.stringData.length)for(o.stringData=[],f=0;f<e.stringData.length;++f)o.stringData[f]=r.bytes===String?c.base64.encode(e.stringData[f],0,e.stringData[f].length):r.bytes===Array?Array.prototype.slice.call(e.stringData[f]):e.stringData[f];if(e.int64Data&&e.int64Data.length)for(o.int64Data=[],f=0;f<e.int64Data.length;++f)typeof e.int64Data[f]=="number"?o.int64Data[f]=r.longs===String?String(e.int64Data[f]):e.int64Data[f]:o.int64Data[f]=r.longs===String?c.Long.prototype.toString.call(e.int64Data[f]):r.longs===Number?new c.LongBits(e.int64Data[f].low>>>0,e.int64Data[f].high>>>0).toNumber():e.int64Data[f];if(e.name!=null&&e.hasOwnProperty("name")&&(o.name=e.name),e.rawData!=null&&e.hasOwnProperty("rawData")&&(o.rawData=r.bytes===String?c.base64.encode(e.rawData,0,e.rawData.length):r.bytes===Array?Array.prototype.slice.call(e.rawData):e.rawData),e.doubleData&&e.doubleData.length)for(o.doubleData=[],f=0;f<e.doubleData.length;++f)o.doubleData[f]=r.json&&!isFinite(e.doubleData[f])?String(e.doubleData[f]):e.doubleData[f];if(e.uint64Data&&e.uint64Data.length)for(o.uint64Data=[],f=0;f<e.uint64Data.length;++f)typeof e.uint64Data[f]=="number"?o.uint64Data[f]=r.longs===String?String(e.uint64Data[f]):e.uint64Data[f]:o.uint64Data[f]=r.longs===String?c.Long.prototype.toString.call(e.uint64Data[f]):r.longs===Number?new c.LongBits(e.uint64Data[f].low>>>0,e.uint64Data[f].high>>>0).toNumber(!0):e.uint64Data[f];if(e.docString!=null&&e.hasOwnProperty("docString")&&(o.docString=e.docString),e.externalData&&e.externalData.length)for(o.externalData=[],f=0;f<e.externalData.length;++f)o.externalData[f]=l.onnx.StringStringEntryProto.toObject(e.externalData[f],r);return e.dataLocation!=null&&e.hasOwnProperty("dataLocation")&&(o.dataLocation=r.enums===String?l.onnx.TensorProto.DataLocation[e.dataLocation]:e.dataLocation),o},n.prototype.toJSON=function(){return this.constructor.toObject(this,u.util.toJSONOptions)},n.DataType=function(){var e={},r=Object.create(e);return 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s.onnx.AttributeProto.AttributeType.FLOATS:return"floats";case s.onnx.AttributeProto.AttributeType.INTS:return"ints";case s.onnx.AttributeProto.AttributeType.STRINGS:return"strings";case s.onnx.AttributeProto.AttributeType.TENSORS:return"tensors";default:throw new Error(`attribute type is not supported yet: ${s.onnx.AttributeProto.AttributeType[n]}`)}}static getValue(l){const n=l instanceof s.onnx.AttributeProto?l.type:l.type();if(n===s.onnx.AttributeProto.AttributeType.GRAPH||n===s.onnx.AttributeProto.AttributeType.GRAPHS)throw new Error("graph attribute is not supported yet");const e=this.getValueNoCheck(l);if(n===s.onnx.AttributeProto.AttributeType.INT&&u.LongUtil.isLong(e))return u.LongUtil.longToNumber(e);if(n===s.onnx.AttributeProto.AttributeType.INTS){const r=e,o=new Array(r.length);for(let f=0;f<r.length;f++){const g=r[f];o[f]=u.LongUtil.longToNumber(g)}return o}if(n===s.onnx.AttributeProto.AttributeType.TENSOR)return l instanceof s.onnx.AttributeProto?d.Tensor.fromProto(e):d.Tensor.fromOrtTensor(e);if(n===s.onnx.AttributeProto.AttributeType.TENSORS){if(l instanceof s.onnx.AttributeProto)return e.map(r=>d.Tensor.fromProto(r));if(l instanceof h.Attribute)return e.map(r=>d.Tensor.fromOrtTensor(r))}if(n===s.onnx.AttributeProto.AttributeType.STRING&&l instanceof s.onnx.AttributeProto){const r=e;return(0,u.decodeUtf8String)(r)}return n===s.onnx.AttributeProto.AttributeType.STRINGS&&l instanceof s.onnx.AttributeProto?e.map(u.decodeUtf8String):e}static getValueNoCheck(l){return l instanceof s.onnx.AttributeProto?this.getValueNoCheckFromOnnxFormat(l):this.getValueNoCheckFromOrtFormat(l)}static getValueNoCheckFromOnnxFormat(l){switch(l.type){case s.onnx.AttributeProto.AttributeType.FLOAT:return l.f;case s.onnx.AttributeProto.AttributeType.INT:return l.i;case s.onnx.AttributeProto.AttributeType.STRING:return l.s;case s.onnx.AttributeProto.AttributeType.TENSOR:return l.t;case s.onnx.AttributeProto.AttributeType.GRAPH:return l.g;case s.onnx.AttributeProto.AttributeType.FLOATS:return l.floats;case s.onnx.AttributeProto.AttributeType.INTS:return l.ints;case s.onnx.AttributeProto.AttributeType.STRINGS:return l.strings;case s.onnx.AttributeProto.AttributeType.TENSORS:return l.tensors;case s.onnx.AttributeProto.AttributeType.GRAPHS:return l.graphs;default:throw new Error(`unsupported attribute type: ${s.onnx.AttributeProto.AttributeType[l.type]}`)}}static getValueNoCheckFromOrtFormat(l){switch(l.type()){case h.AttributeType.FLOAT:return l.f();case h.AttributeType.INT:return l.i();case h.AttributeType.STRING:return l.s();case h.AttributeType.TENSOR:return l.t();case h.AttributeType.GRAPH:return l.g();case h.AttributeType.FLOATS:return l.floatsArray();case h.AttributeType.INTS:{const n=[];for(let e=0;e<l.intsLength();e++)n.push(l.ints(e));return n}case h.AttributeType.STRINGS:{const n=[];for(let e=0;e<l.stringsLength();e++)n.push(l.strings(e));return n}case h.AttributeType.TENSORS:{const n=[];for(let e=0;e<l.tensorsLength();e++)n.push(l.tensors(e));return n}default:throw new Error(`unsupported attribute type: ${h.AttributeType[l.type()]}`)}}}t.Attribute=p},7091:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.resolveBackend=t.backend=void 0;const s=i(5038),a=new Map;async function d(u){const h=t.backend;if(h[u]!==void 0&&function(p){const c=p;return"initialize"in c&&typeof c.initialize=="function"&&"createSessionHandler"in c&&typeof c.createSessionHandler=="function"&&"dispose"in c&&typeof c.dispose=="function"}(h[u])){const p=h[u];let c=p.initialize();if(typeof c=="object"&&"then"in c&&(c=await c),c)return a.set(u,p),p}}t.backend={webgl:new s.WebGLBackend},t.resolveBackend=async function u(h){if(!h)return u(["webgl"]);{const p=typeof h=="string"?[h]:h;for(const c of p){const l=a.get(c);if(l)return l;const n=await d(c);if(n)return n}}throw new Error("no available backend to use")}},5038:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.WebGLBackend=void 0;const s=i(1670),a=i(6231),d=i(6416),u=i(7305);t.WebGLBackend=class{get contextId(){return s.env.webgl.contextId}set contextId(h){s.env.webgl.contextId=h}get matmulMaxBatchSize(){return s.env.webgl.matmulMaxBatchSize}set matmulMaxBatchSize(h){s.env.webgl.matmulMaxBatchSize=h}get textureCacheMode(){return s.env.webgl.textureCacheMode}set textureCacheMode(h){s.env.webgl.textureCacheMode=h}get pack(){return s.env.webgl.pack}set pack(h){s.env.webgl.pack=h}get async(){return s.env.webgl.async}set async(h){s.env.webgl.async=h}initialize(){try{return this.glContext=(0,u.createWebGLContext)(this.contextId),typeof this.matmulMaxBatchSize!="number"&&(this.matmulMaxBatchSize=16),typeof this.textureCacheMode!="string"&&(this.textureCacheMode="full"),typeof this.pack!="boolean"&&(this.pack=!1),typeof this.async!="boolean"&&(this.async=!1),a.Logger.setWithEnv(s.env),a.Logger.verbose("WebGLBackend",`Created WebGLContext: ${typeof this.glContext} with matmulMaxBatchSize: ${this.matmulMaxBatchSize}; textureCacheMode: ${this.textureCacheMode}; pack: ${this.pack}; async: ${this.async}.`),!0}catch(h){return a.Logger.warning("WebGLBackend",`Unable to initialize WebGLBackend. ${h}`),!1}}createSessionHandler(h){return new d.WebGLSessionHandler(this,h)}dispose(){this.glContext.dispose()}}},5107:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.CoordsGlslLib=void 0;const s=i(2517),a=i(8520),d=i(5060),u=i(7859),h=i(9390);class p extends a.GlslLib{constructor(l){super(l)}getFunctions(){return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},this.offsetToCoords()),this.coordsToOffset()),this.toVec()),this.valueFrom()),this.getCommonUtilFuncs()),this.getInputsSamplingSnippets()),this.getOutputSamplingSnippet())}getCustomTypes(){return{}}offsetToCoords(){return{offsetToCoords:new a.GlslLibRoutine(`
-      vec2 offsetToCoords(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(){return{coordsToOffset:new a.GlslLibRoutine(`
-      int coordsToOffset(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(){const l=this.context.outputTextureLayout;return l.isPacked?this.getPackedOutputSamplingSnippet(l):this.getUnpackedOutputSamplingSnippet(l)}getPackedOutputSamplingSnippet(l){const n=l.unpackedShape,e=[l.width,l.height],r={},o="getOutputCoords";switch(n.length){case 0:r[o]=this.getOutputScalarCoords();break;case 1:r[o]=this.getOutputPacked1DCoords(n,e);break;case 2:r[o]=this.getOutputPacked2DCoords(n,e);break;case 3:r[o]=this.getOutputPacked3DCoords(n,e);break;default:r[o]=this.getOutputPackedNDCoords(n,e)}const f=`
-      void setOutput(vec4 val) {
-        ${(0,d.getGlsl)(this.context.glContext.version).output} = val;
-      }
-    `;return r.floatTextureSetRGBA=new a.GlslLibRoutine(f),r}getUnpackedOutputSamplingSnippet(l){const n=l.unpackedShape,e=[l.width,l.height],r={},o="getOutputCoords";switch(n.length){case 0:r[o]=this.getOutputScalarCoords();break;case 1:r[o]=this.getOutputUnpacked1DCoords(n,e);break;case 2:r[o]=this.getOutputUnpacked2DCoords(n,e);break;case 3:r[o]=this.getOutputUnpacked3DCoords(n,e);break;case 4:r[o]=this.getOutputUnpacked4DCoords(n,e);break;case 5:r[o]=this.getOutputUnpacked5DCoords(n,e);break;case 6:r[o]=this.getOutputUnpacked6DCoords(n,e);break;default:throw new Error(`Unsupported output dimensionality: ${n.length}`)}const f=`
-        void setOutput(float val) {
-          ${(0,d.getGlsl)(this.context.glContext.version).output} = vec4(val, 0, 0, 0);
-        }
-    `;return r.floatTextureSetR=new a.GlslLibRoutine(f),r}getOutputScalarCoords(){return new a.GlslLibRoutine(`
-      int getOutputCoords() {
-        return 0;
-      }
-    `)}getOutputPacked1DCoords(l,n){const e=n;let r="";return e[0]===1?(r=`
-          int getOutputCoords() {
-            return 2 * int(TexCoords.y * ${e[1]}.0);
-          }
-        `,new a.GlslLibRoutine(r)):e[1]===1?(r=`
-          int getOutputCoords() {
-            return 2 * int(TexCoords.x * ${e[0]}.0);
-          }
-        `,new a.GlslLibRoutine(r)):(r=`
-        int getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                 vec2(${e[0]}, ${e[1]}));
-          return 2 * (resTexRC.y * ${e[0]} + resTexRC.x);
-        }
-      `,new a.GlslLibRoutine(r))}getOutputPacked2DCoords(l,n){let e="";if(s.ArrayUtil.arraysEqual(l,n))return e=`
-        ivec2 getOutputCoords() {
-          return 2 * ivec2(TexCoords.xy * vec2(${n[0]}, ${n[1]}));
-        }
-      `,new a.GlslLibRoutine(e);const r=n,o=Math.ceil(l[1]/2);return e=`
-        ivec2 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${r[0]}, ${r[1]}));
-
-          int index = resTexRC.y * ${r[0]} + resTexRC.x;
-
-          // reverse r and c order for packed texture
-          int r = imod(index, ${o}) * 2;
-          int c = 2 * (index / ${o});
-
-          return ivec2(r, c);
-        }
-      `,new a.GlslLibRoutine(e)}getOutputPacked3DCoords(l,n){const e=[n[0],n[1]],r=Math.ceil(l[2]/2),o=r*Math.ceil(l[1]/2),f=`
-        ivec3 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${e[0]}, ${e[1]}));
-          int index = resTexRC.y * ${e[0]} + resTexRC.x;
-
-          int b = index / ${o};
-          index -= b * ${o};
-
-          // reverse r and c order for packed texture
-          int r = imod(index, ${r}) * 2;
-          int c = 2 * (index / ${r});
-
-          return ivec3(b, r, c);
-        }
-      `;return new a.GlslLibRoutine(f)}getOutputPackedNDCoords(l,n){const e=[n[0],n[1]],r=Math.ceil(l[l.length-1]/2),o=r*Math.ceil(l[l.length-2]/2);let f=o,g="",b="b, r, c";for(let y=2;y<l.length-1;y++)f*=l[l.length-y-1],g=`
-      int b${y} = index / ${f};
-      index -= b${y} * ${f};
-    `+g,b=`b${y}, `+b;const _=`
-      ivec${l.length} getOutputCoords() {
-        ivec2 resTexRC = ivec2(TexCoords.xy *
-                              vec2(${e[0]}, ${e[1]}));
-        int index = resTexRC.y * ${e[0]} + resTexRC.x;
-
-        ${g}
-
-        int b = index / ${o};
-        index -= b * ${o};
-
-        // reverse r and c order for packed texture
-        int r = imod(index, ${r}) * 2;
-        int c = 2 * (index / ${r});
-
-        return ivec${l.length}(${b});
-      }
-    `;return new a.GlslLibRoutine(_)}getOutputUnpacked1DCoords(l,n){const e=`
-        int getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${n[0]}, ${n[1]}));
-          return resTexRC.y * ${n[0]} + resTexRC.x;
-        }
-      `;return new a.GlslLibRoutine(e)}getOutputUnpacked2DCoords(l,n){const e=`
-        ivec2 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${n[0]}, ${n[1]}));
-          int index = resTexRC.y * ${n[0]} + resTexRC.x;
-          int r = index / ${l[1]};
-          int c = index - r * ${l[1]};
-          return ivec2(r, c);
-        }
-      `;return new a.GlslLibRoutine(e)}getOutputUnpacked3DCoords(l,n){let e="";const r=l.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=l[r-1];for(let b=r-3;b>=0;--b)o[b]=o[b+1]*l[b+1];const f=["r","c","d"],g=o.map((b,_)=>`int ${f[_]} = index / ${b}; ${_===o.length-1?`int ${f[_+1]} = index - ${f[_]} * ${b}`:`index -= ${f[_]} * ${b}`};`).join("");return e=`
-        ivec3 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${n[0]}, ${n[1]}));
-          int index = resTexRC.y * ${n[0]} + resTexRC.x;
-          ${g}
-          return ivec3(r, c, d);
-        }
-      `,new a.GlslLibRoutine(e)}getOutputUnpacked4DCoords(l,n){let e="";const r=l.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=l[r-1];for(let b=r-3;b>=0;--b)o[b]=o[b+1]*l[b+1];const f=["r","c","d","d2"],g=o.map((b,_)=>`int ${f[_]} = index / ${b}; ${_===o.length-1?`int ${f[_+1]} = index - ${f[_]} * ${b}`:`index -= ${f[_]} * ${b}`};`).join("");return e=`
-      ivec4 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${n[0]}, ${n[1]}));
-          int index = resTexRC.y * ${n[0]} + resTexRC.x;
-          ${g}
-          return ivec4(r, c, d, d2);
-        }
-      `,new a.GlslLibRoutine(e)}getOutputUnpacked5DCoords(l,n){let e="";const r=l.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=l[r-1];for(let b=r-3;b>=0;--b)o[b]=o[b+1]*l[b+1];const f=["r","c","d","d2","d3"],g=o.map((b,_)=>`int ${f[_]} = index / ${b}; ${_===o.length-1?`int ${f[_+1]} = index - ${f[_]} * ${b}`:`index -= ${f[_]} * ${b}`};`).join("");return e=`
-      ivec5 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${n[0]}, ${n[1]}));
-          int index = resTexRC.y * ${n[0]} + resTexRC.x;
-          ${g}
-          return ivec5(r, c, d, d2, d3);
-        }
-      `,new a.GlslLibRoutine(e)}getOutputUnpacked6DCoords(l,n){let e="";const r=l.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=l[r-1];for(let b=r-3;b>=0;--b)o[b]=o[b+1]*l[b+1];const f=["r","c","d","d2","d3","d4"],g=o.map((b,_)=>`int ${f[_]} = index / ${b}; ${_===o.length-1?`int ${f[_+1]} = index - ${f[_]} * ${b}`:`index -= ${f[_]} * ${b}`};`).join("");return e=`
-     ivec6 getOutputCoords() {
-         ivec2 resTexRC = ivec2(TexCoords.xy *
-                               vec2(${n[0]}, ${n[1]}));
-         int index = resTexRC.y * ${n[0]} + resTexRC.x;
-         ${g}
-         return ivec6(r, c, d, d2, d3, d4);
-       }
-     `,new a.GlslLibRoutine(e)}getCommonUtilFuncs(){const l={};let n="uvFromFlat";l[n]=new a.GlslLibRoutine(`
-    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);
-    }
-    `),n="packedUVfrom1D",l[n]=new a.GlslLibRoutine(`
-      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);
-      }
-      `),n="packedUVfrom2D",l[n]=new a.GlslLibRoutine(`
-      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);
-      }
-      `),n="packedUVfrom3D",l[n]=new a.GlslLibRoutine(`
-      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);
-      }
-      `),n="sampleTexture";const e=(0,d.getGlsl)(this.context.glContext.version);return l[n]=new a.GlslLibRoutine(`
-        float sampleTexture(sampler2D textureSampler, vec2 uv) {
-            return ${e.texture2D}(textureSampler, uv).r;
-        }`),l}getInputsSamplingSnippets(){const l={},n=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach((e,r)=>{const o=this.context.inputTextureLayouts[r],f=(0,h.generateShaderFuncNameFromInputSamplerName)(e);o.isPacked?l[f]=this.getPackedSamplerFromInput(f,e,o):l[f]=this.getUnpackedSamplerFromInput(f,e,o);const g=(0,h.generateShaderFuncNameFromInputSamplerNameAtOutCoords)(e);o.unpackedShape.length<=n.unpackedShape.length&&(o.isPacked?l[g]=this.getPackedSamplerAtOutputCoords(g,o,n,e):l[g]=this.getUnpackedSamplerAtOutputCoords(g,o,n,e))}),l}getPackedSamplerAtOutputCoords(l,n,e,r){const o=n.unpackedShape,f=e.unpackedShape,g=r,b=(0,h.generateShaderFuncNameFromInputSamplerName)(g),_=o.length,y=f.length,w=s.BroadcastUtil.getBroadcastDims(o,f),v=(0,h.getCoordsDataType)(y),S=y-_;let A;const I=(0,h.getGlChannels)();A=_===0?"":y<2&&w.length>=1?"coords = 0;":w.map(L=>`coords.${I[L+S]} = 0;`).join(`
-`);let x="";x=y<2&&_>0?"coords":o.map((L,G)=>`coords.${I[G+S]}`).join(", ");let E="return outputValue;";const F=s.ShapeUtil.size(o)===1,R=s.ShapeUtil.size(f)===1;if(_!==1||F||R){if(F&&!R)E=y===1?`
-          return vec4(outputValue.x, outputValue.x, 0., 0.);
-        `:`
-          return vec4(outputValue.x);
-        `;else if(w.length){const L=_-2,G=_-1;w.indexOf(L)>-1&&w.indexOf(G)>-1?E="return vec4(outputValue.x);":w.indexOf(L)>-1?E="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":w.indexOf(G)>-1&&(E="return vec4(outputValue.xx, outputValue.zz);")}}else E=`
-        return vec4(outputValue.xy, outputValue.xy);
-      `;const $=`
-      vec4 ${l}() {
-        ${v} coords = getOutputCoords();
-        
-        int lastDim = coords.${I[y-1]};
-        coords.${I[y-1]} = coords.${I[y-2]};
-        coords.${I[y-2]} = lastDim;
-      
-        ${A}
-        vec4 outputValue = ${b}(${x});
-        ${E}
-      }
-    `;return new a.GlslLibRoutine($,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(l,n,e,r){const o=[e.width,e.height],f=[n.width,n.height],g=n.unpackedShape.length,b=e.unpackedShape.length,_=n.unpackedShape,y=e.unpackedShape,w=(0,h.generateShaderFuncNameFromInputSamplerName)(r);if(g===b&&s.ArrayUtil.arraysEqual(f,o)){const R=`
-          float ${l}() {
-            return sampleTexture(${r}, TexCoords);
-          }
-        `;return new a.GlslLibRoutine(R,["coordinates.sampleTexture"])}const v=(0,h.getCoordsDataType)(b),S=s.BroadcastUtil.getBroadcastDims(_,y),A=b-g;let I;const x=(0,h.getGlChannels)();I=g===0?"":b<2&&S.length>=1?"coords = 0;":S.map(R=>`coords.${x[R+A]} = 0;`).join(`
-`);let E="";E=b<2&&g>0?"coords":n.unpackedShape.map((R,$)=>`coords.${x[$+A]}`).join(", ");const F=`
-        float ${l}() {
-          ${v} coords = getOutputCoords();
-          ${I}
-          return ${w}(${E});
-        }
-      `;return new a.GlslLibRoutine(F,["coordinates.getOutputCoords"])}getPackedSamplerFromInput(l,n,e){switch(e.unpackedShape.length){case 0:return this.getPackedSamplerScalar(l,n);case 1:return this.getPackedSampler1D(l,n,e);case 2:return this.getPackedSampler2D(l,n,e);case 3:return this.getPackedSampler3D(l,n,e);default:return this.getPackedSamplerND(l,n,e)}}getUnpackedSamplerFromInput(l,n,e){const r=e.unpackedShape;switch(r.length){case 0:return this.getUnpackedSamplerScalar(l,n,e);case 1:return this.getUnpackedSampler1D(l,n,e);case 2:return this.getUnpackedSampler2D(l,n,e);case 3:return this.getUnpackedSampler3D(l,n,e);case 4:return this.getUnpackedSampler4D(l,n,e);case 5:return this.getUnpackedSampler5D(l,n,e);case 6:return this.getUnpackedSampler6D(l,n,e);default:throw new Error(`Unsupported dimension ${r.length}-D`)}}getPackedSamplerScalar(l,n){const e=`
-          vec4 ${l}() {
-            return ${(0,d.getGlsl)(this.context.glContext.version).texture2D}(${n}, halfCR);
-          }
-        `;return new a.GlslLibRoutine(e)}getPackedSampler1D(l,n,e){const r=[e.width,e.height],o=[r[1],r[0]],f=(0,d.getGlsl)(this.context.glContext.version),g=`vec4 ${l}(int index) {
-      vec2 uv = packedUVfrom1D(
-      ${o[0]}, ${o[1]}, index);
-      return ${f.texture2D}(${n}, uv);
-    }`;return new a.GlslLibRoutine(g,["coordinates.packedUVfrom1D"])}getPackedSampler2D(l,n,e){const r=e.unpackedShape,o=[e.width,e.height],f=(0,d.getGlsl)(this.context.glContext.version),g=o[0],b=o[1];if(o!=null&&s.ArrayUtil.arraysEqual(r,o)){const v=`vec4 ${l}(int row, int col) {
-        vec2 uv = (vec2(col, row) + halfCR) / vec2(${b}.0, ${g}.0);
-        return ${f.texture2D}(${n}, uv);
-      }`;return new a.GlslLibRoutine(v)}const _=o,y=Math.ceil(r[1]/2),w=`vec4 ${l}(int row, int col) {
-      vec2 uv = packedUVfrom2D(${_[1]}, ${_[0]}, ${y}, row, col);
-      return ${f.texture2D}(${n}, uv);
-    }`;return new a.GlslLibRoutine(w,["coordinates.packedUVfrom2D"])}getPackedSampler3D(l,n,e){const r=e.unpackedShape,o=[e.width,e.height],f=[o[0],o[1]],g=(0,d.getGlsl)(this.context.glContext.version);if(r[0]===1){const v=r.slice(1),S=[1,2],A=(0,h.squeezeInputShape)(r,v),I=["b","row","col"],x=JSON.parse(JSON.stringify(e));x.unpackedShape=A;const E=this.getPackedSamplerFromInput(l,n,x),F=`${E.routineBody}
-      vec4 ${l}(int b, int row, int col) {
-        return ${l}(${(0,h.getSqueezedParams)(I,S)});
-      } `;return new a.GlslLibRoutine(F,E.dependencies)}const b=f[0],_=f[1],y=Math.ceil(r[2]/2),w=`vec4 ${l}(int b, int row, int col) {
-      vec2 uv = packedUVfrom3D(
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-      int index = ${A};
-      int texR = index / ${y};
-      int texC = index - texR * ${y};
-      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${y}, ${_});
-      return ${g.texture2D}(${n}, uv);
-    }`;return new a.GlslLibRoutine(I)}getUnpackedSamplerScalar(l,n,e){const[r,o]=[e.width,e.height];if(r===1&&o===1){const g=`
-          float ${l}() {
-            return sampleTexture(${n}, halfCR);
-          }
-        `;return new a.GlslLibRoutine(g,["coordinates.sampleTexture"])}const f=`
-        float ${l}() {
-          int offset_${n} = coordsToOffset(TexCoords, ${r}, ${o});
-          vec2 uv = uvFromFlat(${r}, ${o}, offset_${n});
-          return sampleTexture(${n}, uv);
-        }
-      `;return new a.GlslLibRoutine(f,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler1D(l,n,e){const r=e.width,o=e.height;if(o===1&&r===1){const g=`
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-          return sampleTexture(${n}, halfCR);
-        }
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-          float ${l}(int index) {
-            vec2 uv = vec2((float(index) + 0.5) / ${r}.0, 0.5);
-            return sampleTexture(${n}, uv);
-          }
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-          float ${l}(int index) {
-            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${o}.0);
-            return sampleTexture(${n}, uv);
-          }
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-        float ${l}(int index) {
-          vec2 uv = uvFromFlat(${r}, ${o}, index);
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-            vec2 uv = (vec2(row, col) + halfCR) / vec2(${o[1]}.0, ${o[0]}.0);
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-          ${this.getUnpackedSamplerFromInput(l,n,S).routineBody}
-          float ${l}(int row, int col) {
-            return ${l}(${(0,h.getSqueezedParams)(A,g)});
-          }
-        `;return new a.GlslLibRoutine(I,["coordinates.sampleTexture"])}const _=o[1],y=o[0];if(y===1){const v=`
-          float ${l}(int row, int col) {
-            int offset_${n} = coordsToOffset(TexCoords, ${_}, ${y});
-            float index = dot(vec3(row, col, offset_${n}), vec3(${r[1]}, 1, 1));
-            vec2 uv = vec2(0.5, (index + 0.5) / ${_}.0);
-            return sampleTexture(${n}, uv);
-          }
-        `;return new a.GlslLibRoutine(v,["coordinates.sampleTexture","coordinates.coordsToOffset"])}if(_===1){const v=`
-          float ${l}(int row, int col) {
-            int offset_${n} = coordsToOffset(TexCoords, ${_}, ${y});
-            float index = dot(vec3(row, col, offset_${n}), vec3(${r[1]}, 1, 1));
-            vec2 uv = vec2((index + 0.5) / ${y}.0, 0.5);
-            return sampleTexture(${n}, uv);
-          }
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-        float ${l}(int row, int col) {
-          int index = col * ${r[1]} + row;
-          vec2 uv = uvFromFlat(${_}, ${y}, index);
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-        }
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-          ${A.routineBody}
-          float ${l}(int batch, int row, int col) {
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-          }
-        `;return new a.GlslLibRoutine(x,A.dependencies)}const y=`
-          float ${l}(int depth, int row, int col) {
-            // Explicitly use integer operations as dot() only works on floats.
-            int index = depth * ${o} + col * ${f} + row;
-            vec2 uv = uvFromFlat(${e.width}, ${e.height}, index);
-            return sampleTexture(${n}, uv);
-          }
-      `;return new a.GlslLibRoutine(y,["coordinates.uvFromFlat","coordinates.sampleTexture","coordinates.coordsToOffset"])}getUnpackedSampler4D(l,n,e){const r=e.unpackedShape,o=r[3],f=r[2]*o,g=`
-        float ${l}(int row, int col, int depth, int depth2) {
-          int index = row * ${r[1]*f} + col * ${f} +
-              depth2 * ${o} + depth;
-          vec2 uv = uvFromFlat(${e.width}, ${e.height}, index);
-          return sampleTexture(${n}, uv);
-        }
-      `;return new a.GlslLibRoutine(g,["coordinates.uvFromFlat","coordinates.sampleTexture"])}getUnpackedSampler5D(l,n,e){const r=e.unpackedShape,o=r[4],f=r[3]*o,g=r[2]*f,b=r[1]*g,{newShape:_,keptDims:y}=(0,u.squeezeShape)(r);if(_.length<r.length){const v=(0,h.squeezeInputShape)(r,_),S=["row","col","depth","depth2","depth3"],A=JSON.parse(JSON.stringify(e));A.unpackedShape=v;const I=`
-          ${this.getUnpackedSamplerFromInput(l,n,A).routineBody}
-          float ${l}(int row, int col, int depth, int depth2, int depth3) {
-            return ${l}(${(0,h.getSqueezedParams)(S,y)});
-          }
-        `;return new a.GlslLibRoutine(I,["coordinates.sampleTexture","coordinates.uvFromFlat"])}const w=`
-        float ${l}(int row, int col, int depth, int depth2, int depth3) {
-          int index = row * ${b} + col * ${g} + depth * ${f} +
-          depth3 * ${o} + depth2;
-          vec2 uv = uvFromFlat(${e.width}, ${e.height}, index);
-          return sampleTexture(${n}, uv);
-        }
-      `;return new a.GlslLibRoutine(w,["coordinates.sampleTexture","coordinates.uvFromFlat"])}getUnpackedSampler6D(l,n,e){const r=e.unpackedShape,o=r[5],f=r[4]*o,g=r[3]*f,b=r[2]*g,_=r[1]*b,{newShape:y,keptDims:w}=(0,u.squeezeShape)(r);if(y.length<r.length){const S=(0,h.squeezeInputShape)(r,y),A=["row","col","depth","depth2","depth3","depth4"],I=JSON.parse(JSON.stringify(e));I.unpackedShape=S;const x=`
-            ${this.getUnpackedSamplerFromInput(l,n,I).routineBody}
-            float ${l}(int row, int col, int depth,
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-              return ${l}(${(0,h.getSqueezedParams)(A,w)});
-            }
-          `;return new a.GlslLibRoutine(x,["coordinates.sampleTexture","coordinates.uvFromFlat"])}const v=`
-          float ${l}(int row, int col, int depth,
-            int depth2, int depth3, int depth4) {
-            int index = row * ${_} + col * ${b} + depth * ${g} +
-            depth2 * ${f} + depth3 * ${o} + depth4;
-            vec2 uv = uvFromFlat(${e.width}, ${e.height}, index);
-            return sampleTexture(${n}, uv);
-          }
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-      void toVec(vec2 texCoords, out int c[${n}]) {
-        int offset = coordsToOffset(texCoords, ${r}, ${o});
-        ${f.join("")}
-      }
-      void toVec(int offset, out int c[${n}]) {
-        ${f.join("")}
-      }
-    `;return{toVec:new a.GlslLibRoutine(g,["coordinates.coordsToOffset"])}}valueFrom(){const l={};return this.context.programInfo.inputNames.forEach((n,e)=>{const r=this.context.inputTextureLayouts[e],o=(r.unpackedShape.length>0?r.unpackedShape:r.shape).length;let f=`_${n}`;l[f]=new a.GlslLibRoutine(this.getValueFromSingle(n,o,r.width,r.height,!1),[`shapeUtils.indicesToOffset${f}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),f+="_T",l[f]=new a.GlslLibRoutine(this.getValueFromSingle(n,o,r.width,r.height,!0),[`shapeUtils.indicesToOffset${f}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"])}),l}getValueFromSingle(l,n,e,r,o){let f=`_${l}`;return o&&(f+="_T"),`
-        float ${f}(int m[${n}]) {
-          int offset = indicesToOffset${f}(m);
-          vec2 coords = offsetToCoords(offset, ${e}, ${r});
-          float value = getColorAsFloat(${(0,d.getGlsl)(this.context.glContext.version).texture2D}(${l}, coords));
-          return value;
-        }
-        `}getPackedValueFrom(l,n,e,r,o){let f=`_${l}_Pack`;return o&&(f+="_T"),`
-        vec4 ${f}(int m[${n}]) {
-          int offset = indicesToOffset_${l}(m);
-          vec2 coords = offsetToCoords(offset, ${e}, ${r});
-          return ${(0,d.getGlsl)(this.context.glContext.version).texture2D}(${l}, coords);
-        }
-        `}}t.CoordsGlslLib=p},8520:(m,t)=>{var i;Object.defineProperty(t,"__esModule",{value:!0}),t.TopologicalSortGlslRoutines=t.GlslLibRoutineNode=t.GlslLibRoutine=t.GlslLib=t.GlslContext=t.FunctionType=void 0,(i=t.FunctionType||(t.FunctionType={}))[i.ValueBased=0]="ValueBased",i[i.Positional=1]="Positional",t.GlslContext=class{constructor(s,a,d,u){this.glContext=s,this.programInfo=a,this.inputTextureLayouts=d,this.outputTextureLayout=u}},t.GlslLib=class{constructor(s){this.context=s}},t.GlslLibRoutine=class{constructor(s,a){this.routineBody=s,this.dependencies=a}},t.GlslLibRoutineNode=class{constructor(s,a,d){this.name=s,this.dependencies=d||[],a&&(this.routineBody=a)}addDependency(s){s&&this.dependencies.push(s)}},t.TopologicalSortGlslRoutines=class{static returnOrderedNodes(s){if(!s||s.length===0)return[];if(s.length===1)return s;const a=new Set,d=new Set,u=new Array;return this.createOrderedNodes(s,a,d,u),u}static createOrderedNodes(s,a,d,u){for(let h=0;h<s.length;++h)this.dfsTraverse(s[h],a,d,u)}static dfsTraverse(s,a,d,u){if(!s||d.has(s.name))return;if(a.has(s.name))throw new Error("Cyclic dependency detected. Can't topologically sort routines needed for shader.");a.add(s.name);const h=s.dependencies;if(h&&h.length>0)for(let p=0;p<h.length;++p)this.dfsTraverse(h[p],a,d,u);u.push(s),d.add(s.name),a.delete(s.name)}}},7341:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.EncodingGlslLib=void 0;const s=i(8520);class a extends s.GlslLib{constructor(u){super(u)}getFunctions(){return Object.assign(Object.assign({},this.encodeFloat32()),this.decodeFloat32())}getCustomTypes(){return{}}encodeFloat32(){return{encode:new s.GlslLibRoutine(`highp vec4 encode(highp float f) {
-        return vec4(f, 0.0, 0.0, 0.0);
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-        `)}}decodeFloat32(){return{decode:new s.GlslLibRoutine(`highp float decode(highp vec4 rgba) {
-        return rgba.r;
-      }
-        `)}}encodeUint8(){const u=a.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new s.GlslLibRoutine(`
-      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)));
-        ${u}
-        rgba = rgba / 255.0; // values need to be normalized to [0,1]
-        return rgba;
-    }
-        `)}}decodeUint8(){const u=a.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{decode:new s.GlslLibRoutine(`
-        highp float decode(highp vec4 rgba) {
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-          ${u}
-          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(){const u=new ArrayBuffer(4),h=new Uint32Array(u),p=new Uint8Array(u);if(h[0]=3735928559,p[0]===239)return!0;if(p[0]===222)return!1;throw new Error("unknown endianness")}}t.EncodingGlslLib=a},9894:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.FragColorGlslLib=void 0;const s=i(8520),a=i(5060);class d extends s.GlslLib{constructor(h){super(h)}getFunctions(){return Object.assign(Object.assign({},this.setFragColor()),this.getColorAsFloat())}getCustomTypes(){return{}}setFragColor(){const h=(0,a.getGlsl)(this.context.glContext.version);return{setFragColor:new s.GlslLibRoutine(`
-        void setFragColor(float value) {
-            ${h.output} = encode(value);
-        }
-        `,["encoding.encode"])}}getColorAsFloat(){return{getColorAsFloat:new s.GlslLibRoutine(`
-        float getColorAsFloat(vec4 color) {
-            return decode(color);
-        }
-        `,["encoding.decode"])}}}t.FragColorGlslLib=d},2848:(m,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.replaceInlines=void 0;const i=/@inline[\s\n\r]+(\w+)[\s\n\r]+([0-9a-zA-Z_]+)\s*\(([^)]*)\)\s*{(([^}]|[\n\r])*)}/gm;t.replaceInlines=function(s){const a={};let d;for(;(d=i.exec(s))!==null;){const u=d[3].split(",").map(h=>{const p=h.trim().split(" ");return p&&p.length===2?{type:p[0],name:p[1]}:null}).filter(h=>h!==null);a[d[2]]={params:u,body:d[4]}}for(const u in a){const h="(\\w+)?\\s+([_0-9a-zA-Z]+)\\s+=\\s+__FUNC__\\((.*)\\)\\s*;".replace("__FUNC__",u),p=new RegExp(h,"gm");for(;(d=p.exec(s))!==null;){const c=d[1],l=d[2],n=d[3].split(","),e=c?`${c} ${l};`:"";let r=a[u].body,o="";a[u].params.forEach((g,b)=>{g&&(o+=`${g.type} ${g.name} = ${n[b]};
-`)}),r=`${o}
- ${r}`,r=r.replace("return",`${l} = `);const f=`
-      ${e}
-      {
-        ${r}
-      }
-      `;s=s.replace(d[0],f)}}return s.replace(i,"")}},8879:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.GlslPreprocessor=void 0;const s=i(8520),a=i(2848),d=i(5483),u=i(5060);t.GlslPreprocessor=class{constructor(h,p,c,l){this.libs={},this.glslLibRoutineDependencyGraph={},this.context=new s.GlslContext(h,p,c,l),Object.keys(d.glslRegistry).forEach(e=>{const r=new d.glslRegistry[e](this.context);this.libs[e]=r});const n=this.glslLibRoutineDependencyGraph;for(const e in this.libs){const r=this.libs[e].getFunctions();for(const o in r){const f=e+"."+o;let g;n[f]?(g=n[f],g.routineBody=r[o].routineBody):(g=new s.GlslLibRoutineNode(f,r[o].routineBody),n[f]=g);const b=r[o].dependencies;if(b)for(let _=0;_<b.length;++_)if(n[b[_]])g.addDependency(n[b[_]]);else{const y=new s.GlslLibRoutineNode(b[_]);n[b[_]]=y,g.addDependency(y)}}}}preprocess(){const h=this.context.programInfo;let p=h.shaderSource;return this.context.programInfo.hasMain||(p=`${p}
-      ${(0,u.getDefaultFragShaderMain)(this.context.glContext.version,this.context.outputTextureLayout.shape.length)}`),p=(0,a.replaceInlines)(p),`${(0,u.getFragShaderPreamble)(this.context.glContext.version)}
-    ${this.getUniforms(h.inputNames,h.variables)}
-    ${this.getImports(p)}
-    ${p}`}getImports(h){const p=this.selectGlslLibRoutinesToBeIncluded(h);if(p.length===0)return"";let c="";for(let l=0;l<p.length;++l){if(!p[l].routineBody)throw new Error(`Missing body for the Glsl Library routine: ${p[l].name}`);c+=p[l].routineBody+`
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-`)}}},5483:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.glslRegistry=void 0;const s=i(5107),a=i(7341),d=i(9894),u=i(2655),h=i(3891);t.glslRegistry={encoding:a.EncodingGlslLib,fragcolor:d.FragColorGlslLib,vec:h.VecGlslLib,shapeUtils:u.ShapeUtilsGlslLib,coordinates:s.CoordsGlslLib}},2655:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.ShapeUtilsGlslLib=void 0;const s=i(8520);class a extends s.GlslLib{constructor(u){super(u)}getFunctions(){return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},this.bcastIndex()),this.bcastMatmulIndex()),this.offsetToIndices()),this.indicesToOffset()),this.incrementIndices())}getCustomTypes(){return{}}bcastIndex(){const u=this.context.outputTextureLayout.shape.length,h={};return this.context.programInfo.inputNames.forEach((p,c)=>{const l=this.context.inputTextureLayouts[c].unpackedShape;if(l.length<=u){const n=l.length,e=u-n,r=`bcastIndices_${p}`;let o="";for(let g=0;g<n;++g)o+=`
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-          `;const f=`
-        void ${r} (int bcastedIndices[${u}], out int realIndices[${n}]) {
-          ${o}
-        }
-        `;h[r]=new s.GlslLibRoutine(f)}}),h}bcastMatmulIndex(){const u=this.context.outputTextureLayout.shape.length,h={};return this.context.programInfo.inputNames.forEach((p,c)=>{const l=this.context.inputTextureLayouts[c].shape;if(!(l.length<2||l.length>u)){const n=l.length,e=u-n,r=`bcastMatmulIndices_${p}`;let o="";for(let g=0;g<n-2;++g)o+=`
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-  }
-  `,name:v,type:a.FunctionType.ValueBased}}function c(){const v="mul_";return{body:`
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-    return v1 - v2;
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-    return float(a == b);
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-  }
-  `,name:v,type:a.FunctionType.ValueBased}}function e(){const v="greater_";return{body:`
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-  }
-  vec4 ${v}(vec4 v1, vec4 v2) {
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-  float ${S}(float a, float b) {
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-  }
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-  }
-  vec4 ${v}(vec4 v1, vec4 v2) {
-    return vec4(
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-      v1.b < 0.0 ? v1.b * v2.b: v1.b,
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-      );
-  }
-  `,name:v,type:a.FunctionType.ValueBased}}t.glslAdd=h,t.glslDiv=p,t.glslMul=c,t.glslSub=l,t.glslEqual=n,t.glslGreater=e,t.glslLess=r,t.glslAnd=o,t.glslOr=f,t.glslXor=g,t.glslPow=b,t.glslPRelu=_;const y=(v,S,A,I=S[0].type,x)=>{const E=v.session.pack?u.TextureType.packed:u.TextureType.unpacked;return{name:A.name,inputNames:["A","B"],inputTypes:[E,E],cacheHint:x,get:()=>w(v,S,A,I)}},w=(v,S,A,I=S[0].type)=>{const x=v.session.pack?u.TextureType.packed:u.TextureType.unpacked,E=!s.ShapeUtil.areEqual(S[0].dims,S[1].dims);let F=S[0].dims;const R=v.session.pack;if(E){const G=s.BroadcastUtil.calcShape(S[0].dims,S[1].dims,!1);if(!G)throw new Error("Can't perform binary op on the given tensors");F=G;const D=F.length,z=S[0].dims.length!==0?S[0].dims.length:1,Z=S[1].dims.length!==0?S[1].dims.length:1,X=S[0].dims.length!==0?"bcastIndices_A(indices, aindices);":"aindices[0] = 0;",J=S[1].dims.length!==0?"bcastIndices_B(indices, bindices);":"bindices[0] = 0;",ee=(0,d.getGlsl)(v.session.backend.glContext.version),ue=R?`
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-      void main() {
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-    void main() {
-      vec4 v1 = ${$.texture2D}(A, TexCoords);
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-              return getChannel(
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-                vec2(${h(R,F,J)}));
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-          float getValue(${x.map(X=>"int "+X)}) {
-            ${L}
-          }
-
-          void main() {
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-            int lastDim = coords.${x[w-1]};
-            coords.${x[w-1]} = coords.${x[w-2]};
-            coords.${x[w-2]} = lastDim;
-
-            vec4 result = vec4(getValue(${v}), 0., 0., 0.);
-
-            ${v[w-1]} = ${v[w-1]} + 1;
-            if (${v[w-1]} < ${y[w-1]}) {
-              result.g = getValue(${v});
-            }
-
-            ${v[w-2]} = ${v[w-2]} + 1;
-            if (${v[w-2]} < ${y[w-2]}) {
-              result.a = getValue(${v});
-            }
-
-            ${v[w-1]} = ${v[w-1]} - 1;
-            if (${v[w-2]} < ${y[w-2]} &&
-                ${v[w-1]} < ${y[w-1]}) {
-              result.b = getValue(${v});
-            }
-            ${z.output} = result;
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-        ${l(x)}
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-          if(textureIndex != 0) {
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-          return fetchDataFromCorrectTexture(textureIndex, indices);
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-  const ivec2 pads = ivec2(${b.pads[0]}, ${b.pads[1]});
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-  void main() {
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-    int batch = coords.x;
-    int output_channel = coords.y;
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-    int group_id = output_channel / ${v};
-
-    float value = 0.0;
-    for (int wInChannel = 0; wInChannel < ${w[1]}; wInChannel++) {
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-      for (int wHeight = 0; wHeight < ${w[2]}; wHeight++) {
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-
-        if (xHeight < 0 || xHeight >= ${y[2]}) {
-          continue;
-        }
-
-        for (int wWidth = 0; wWidth < ${w[3]}; wWidth++) {
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-          if (xWidth < 0 || xWidth >= ${y[3]}) {
-            continue;
-          }
-
-          float xVal = getX(batch, input_channel, xWidth, xHeight);
-          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);
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-        }
-      }
-    }
-    ${_}
-    ${x}
-    ${A.output} = vec4(value, .0, .0, .0);
-  }
-`;return Object.assign(Object.assign({},g),{output:{dims:S,type:f[0].type,textureType:d.TextureType.unpacked},shaderSource:E,hasMain:!0})})(p,c,n,l)})}},1386:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.conv2DPacked=t.conv2DPackedPointwise=void 0;const s=i(8138),a=i(8555),d=i(708);t.conv2DPackedPointwise=(u,h,p)=>{const c=h[0].dims,l=h[1].dims,n=(0,s.calculateOutputShape)(c,l,p.dilations,p.pads,p.strides),e=u.reshapePacked(h[0],[c[1],c[2]*c[3]]),r=u.reshapePacked(h[1],[l[0],l[1]]),o=h.length>2?[r,e,h[2]]:[r,e],f=u.run((0,d.createPackedMatmulProgramInfoLoader)(u,o,p),o);return u.reshapePacked(f,n)},t.conv2DPacked=(u,h,p)=>{const c=h[0].dims,l=h[1].dims,n=(0,s.calculateOutputShape)(c,l,p.dilations,p.pads,p.strides),e=u.run((0,a.createPackedIm2ColProgramInfoLoader)(u,h[0],h[1],n,p),[h[0]]),r=u.reshapePacked(h[1],[l[0],l[1]*l[2]*l[3]]),o=h.length===3?[r,e,h[2]]:[r,e],f=u.run((0,d.createPackedMatmulProgramInfoLoader)(u,o,p),o);return u.reshapePacked(f,n)}},9663:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseConvTransposeAttributes=t.convTranspose=void 0;const s=i(246),a=i(5060),d=i(2039),u=i(2823),h=(r,o,f,g,b,_)=>(r-1)*o+f+(g-1)*b+1-_,p=(r,o,f,g,b)=>{const _=Math.floor(r/2);o==="SAME_UPPER"?(f[g]=_,f[b]=r-_):o==="SAME_LOWER"&&(f[g]=r-_,f[b]=_)};t.convTranspose=(r,o,f)=>(e(o,f),c(r,o,f));const c=(r,o,f)=>{const g=n(f,o);return[l(r,o,g)]},l=(r,o,f)=>r.run(((g,b,_)=>{const y=(w=b.length>2,v=_.cacheKey,{name:"ConvTranspose",inputNames:w?["X","W","B"]:["X","W"],inputTypes:w?[d.TextureType.unpacked,d.TextureType.unpacked,d.TextureType.unpacked]:[d.TextureType.unpacked,d.TextureType.unpacked],cacheHint:v});var w,v;return Object.assign(Object.assign({},y),{get:()=>((S,A,I,x)=>{const E=A.length>2?"getB(output_channel)":"0.0",F=A[0].dims,R=A[1].dims,$=R[1],L=R[0]/x.group,G=[A[0].dims[0],A[1].dims[1]*x.group,...x.outputShape],D=(0,a.getGlsl)(S.session.backend.glContext.version),{activationFunction:z,applyActivation:Z}=(0,u.getActivationSnippet)(x),X=`
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-  const ivec2 pads = ivec2(${x.pads[0]}, ${x.pads[1]});
-  ${z}
-  void main() {
-    ivec4 coords = getOutputCoords();
-    int batch = coords.x;
-    int output_channel = coords.y;
-
-    ivec2 loc = coords.zw + pads;
-
-    int group_id = output_channel / ${$};
-    int wOutChannel = output_channel - group_id * ${$};
-
-    float value = ${E};
-    for (int inChannelOffset = 0; inChannelOffset < ${L}; inChannelOffset++) {
-      int input_channel = group_id * ${L} + inChannelOffset;
-      for (int wWOff = 0; wWOff < ${R[2]}; wWOff++) {
-        for (int wHOff = 0; wHOff < ${R[3]}; wHOff++) {
-          ivec2 wOff = ivec2(wWOff * ${x.dilations[0]}, wHOff * ${x.dilations[1]});
-          ivec2 wLoc = loc - wOff;
-          ivec2 wLocIn = wLoc / strides;
-          if (
-            wLocIn * strides == wLoc &&
-            wLocIn.x >= 0 && wLocIn.x < ${F[2]} &&
-            wLocIn.y >= 0 && wLocIn.y < ${F[3]}
-          ) {
-            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);
-            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);
-            value += xVal * wVal;
-          }
-        }
-      }
-    }
-    ${Z}
-    ${D.output} = vec4(value, .0, .0, .0);
-  }
-`;return Object.assign(Object.assign({},I),{output:{dims:G,type:A[0].type,textureType:d.TextureType.unpacked},shaderSource:X,hasMain:!0})})(g,b,y,_)})})(r,o,f),o),n=(r,o)=>{const f=r.kernelShape.slice();if(r.kernelShape.length===0)for(let y=2;y<o[1].dims.length;++y)f.push(o[1].dims[y]);const g=r.pads.slice(),b=r.outputShape.slice();((y,w,v,S,A,I,x,E)=>{const F=y.length-2,R=E.length===0;for(let $=0;$<F;++$){const L=R?y[$+2]*I[$]:E[$],G=h(y[$+2],I[$],A[$],w[$],v[$],L);p(G,S,A,$,$+F),R&&E.push(I[$]*(y[$+2]-1)+x[$]+(w[$]-1)*v[$]+1-A[$]-A[$+F])}})(o[0].dims,f,r.dilations,r.autoPad,g,r.strides,r.outputPadding,b);const _=Object.assign({},r);return Object.assign(_,{kernelShape:f,pads:g,outputShape:b,cacheKey:r.cacheKey}),_};t.parseConvTransposeAttributes=r=>{const o=r.attributes,f=(0,u.parseInternalActivationAttributes)(o),g=o.getString("auto_pad","NOTSET"),b=o.getInts("dilations",[1,1]),_=o.getInt("group",1),y=o.getInts("kernel_shape",[]),w=o.getInts("output_padding",[0,0]),v=o.getInts("output_shape",[]),S=o.getInts("pads",[0,0,0,0]),A=o.getInts("strides",[1,1]);return(0,s.createAttributeWithCacheKey)(Object.assign({autoPad:g,dilations:b,group:_,kernelShape:y,outputPadding:w,outputShape:v,pads:S,strides:A},f))};const e=(r,o)=>{if(!r||r.length!==2&&r.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(r[0].dims.length!==4||r[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");if(r[0].dims[1]!==r[1].dims[0])throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");const f=r[1].dims[1]*o.group;if(r.length===3&&(r[2].dims.length!==1||r[2].dims[0]!==f))throw new Error("invalid bias");const g=r[0].dims.length-2;if(o.dilations.length!==g)throw new Error(`dilations should be ${g}D`);if(o.strides.length!==g)throw new Error(`strides should be ${g}D`);if(o.pads.length!==2*g)throw new Error(`pads should be ${2*g}D`);if(o.outputPadding.length!==g)throw new Error(`output_padding should be ${g}D`);if(o.kernelShape.length!==0&&o.kernelShape.length!==r[1].dims.length-2)throw new Error("invalid kernel shape");if(o.outputShape.length!==0&&o.outputShape.length!==r[0].dims.length-2)throw new Error("invalid output shape");if(r[0].type!=="float32"||r[1].type!=="float32")throw new Error("ConvTranspose input(X,W) should be float tensor");if(r.length===3&&r[2].type!=="float32")throw new Error("ConvTranspose input(bias) should be float tensor")}},8138:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseConvAttributes=t.conv=t.calculateOutputShape=void 0;const s=i(246),a=i(2517),d=i(4770),u=i(1386),h=i(9828),p=i(2823),c=i(3248),l=i(5623);t.calculateOutputShape=(g,b,_,y,w)=>{const v=g[0],S=g.slice(2),A=S.length,I=b[0],x=b.slice(2).map((F,R)=>F+(F-1)*(_[R]-1)),E=S.map((F,R)=>F+y[R]+y[R+A]).map((F,R)=>Math.floor((F-x[R]+w[R])/w[R]));return[v,I].concat(...E)},t.conv=(g,b,_)=>(f(b,_),n(g,b,_));const n=(g,b,_)=>{const y=o(_,b),w=g.session.pack,v=y.kernelShape[0]===1&&y.kernelShape[1]===1;return y.group>1?[g.run((0,d.createUnpackedGroupedConvProgramInfoLoader)(g,b,y),b)]:v&&w?[e(g,b,y)]:w&&b[0].dims.length===4&&b[0].dims[0]===1&&!v?[(0,u.conv2DPacked)(g,b,y)]:[r(g,b,y)]},e=(g,b,_)=>{const y=b[0].dims,w=b[1].dims,v=(0,t.calculateOutputShape)(y,w,_.dilations,_.pads,_.strides),S=g.reshapeUnpacked(b[0],[y[1],y[2]*y[3]]),A=g.reshapeUnpacked(b[1],[w[0],w[1]]),I=b.length>2?[A,S,b[2]]:[A,S],x=g.run((0,l.createMatmulProgramInfoLoader)(I,_),I);return g.reshapeUnpacked(x,v)},r=(g,b,_)=>{const y=b[0].dims,w=b[1].dims,v=(0,t.calculateOutputShape)(y,w,_.dilations,_.pads,_.strides),S=g.run((0,c.createIm2ColProgramInfoLoader)(g,b[0],b[1],v,_),[b[0]]),A=b.length===3?[S,b[1],b[2]]:[S,b[1]];return g.run((0,h.createDotProductProgramInfoLoader)(g,b,v,_),A)},o=(g,b)=>{const _=g.kernelShape.slice();if(g.kernelShape.length===0)for(let v=2;v<b[1].dims.length;++v)_.push(b[1].dims[v]);const y=g.pads.slice();a.PoolConvUtil.adjustPadsBasedOnAutoPad(b[0].dims,g.strides,g.dilations,_,y,g.autoPad);const w=Object.assign({},g);return Object.assign(w,{kernelShape:_,pads:y,cacheKey:g.cacheKey}),w};t.parseConvAttributes=g=>{const b=g.attributes,_=(0,p.parseInternalActivationAttributes)(b),y=b.getString("auto_pad","NOTSET"),w=b.getInts("dilations",[1,1]),v=b.getInt("group",1),S=b.getInts("kernel_shape",[]),A=b.getInts("pads",[0,0,0,0]),I=b.getInts("strides",[1,1]);return(0,s.createAttributeWithCacheKey)(Object.assign({autoPad:y,dilations:w,group:v,kernelShape:S,pads:A,strides:I},_))};const f=(g,b)=>{if(!g||g.length!==2&&g.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(g[0].dims.length!==4||g[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");if(g[0].dims[1]!==g[1].dims[1]*b.group)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(g.length===3&&(g[2].dims.length!==1||g[1].dims[0]!==g[2].dims[0]))throw new Error("invalid bias");const _=g[0].dims.length-2;if(b.dilations.length!==_)throw new Error(`dilations should be ${_}D`);if(b.strides.length!==_)throw new Error(`strides should be ${_}D`);if(b.pads.length!==2*_)throw new Error(`pads should be ${2*_}D`);if(b.kernelShape.length!==0&&b.kernelShape.length!==g[1].dims.length-2)throw new Error("invalid kernel shape");if(g[0].type!=="float32"||g[1].type!=="float32")throw new Error("Conv input(X,W) should be float tensor");if(g.length===3&&g[2].type!=="float32")throw new Error("Conv input(bias) should be float tensor")}},5193:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseDepthToSpaceAttributes=t.depthToSpace=void 0;const s=i(3738);t.depthToSpace=(d,u,h)=>{a(u);const p=h.blocksize,c=p*p,l=h.mode==="DCR"?[0,3,4,1,5,2]:[0,1,4,2,5,3],n=h.mode==="DCR"?[u[0].dims[0],p,p,u[0].dims[1]/c,u[0].dims[2],u[0].dims[3]]:[u[0].dims[0],u[0].dims[1]/c,p,p,u[0].dims[2],u[0].dims[3]],e=d.reshapeUnpacked(u[0],n),r={perm:l,cacheKey:`${l}`},[o]=(0,s.transpose)(d,[e],r),f=[u[0].dims[0],u[0].dims[1]/c,u[0].dims[2]*p,u[0].dims[3]*p];return[d.reshapeUnpacked(o,f)]},t.parseDepthToSpaceAttributes=d=>{const u=d.attributes.getInt("blocksize");if(u<1)throw new Error(`blocksize must be >= 1, but got : ${u} for DepthToSpace`);const h=d.attributes.getString("mode","DCR");if(h!=="DCR"&&h!=="CRD")throw new Error(`unrecognized mode: ${h} for DepthToSpace`);return{mode:h,blocksize:u}};const a=d=>{if(d.length!==1)throw new Error(`DepthToSpace expect 1 inputs, but got ${d.length}`);if(d[0].type==="string"||d[0].dims.length!==4)throw new TypeError("DepthToSpace input should be a 4-D numeric tensor")}},9828:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.createDotProductProgramInfoLoader=void 0;const s=i(2517),a=i(5060),d=i(2039),u=i(2823),h=i(3248);t.createDotProductProgramInfoLoader=(p,c,l,n)=>{const e=((r,o)=>({name:"ConvDotProduct",inputNames:r?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:r?[d.TextureType.unpacked,d.TextureType.packedLastDimension,d.TextureType.unpacked]:[d.TextureType.unpacked,d.TextureType.packedLastDimension],cacheKey:o.activationCacheKey}))(c.length>2,n);return Object.assign(Object.assign({},e),{get:()=>((r,o,f,g,b)=>{const _=f[0].dims,y=f[1].dims,w=[y[0],Math.ceil(_[1]*y[2]*y[3]/4)],v=(0,h.calculateIm2ColDims)(_,y,g),[S,A]=r.calculateTextureWidthAndHeight(w,d.TextureType.packedLastDimension),I=s.ShapeUtil.computeStrides(v),[x,E]=r.calculateTextureWidthAndHeight(v,d.TextureType.packedLastDimension),F=g.length,R=f.length<3?"0.0":"_B(b)",$=Math.ceil(_[1]*y[2]*y[3]/4),{activationFunction:L,applyActivation:G}=(0,u.getActivationSnippet)(b),D=(0,a.getGlsl)(r.session.backend.glContext.version),z=`
-${L}
-float process(int indices[${F}]) {
-  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] * ${I[0]} + im2col[1] * ${I[1]} + im2col[2] * ${I[2]};
-  int kernelOffset = indices[1] * ${w[1]};
-  float value = ${R};
-  for (int i = 0; i < ${$}; ++i) {
-    vec2 im2colCoords = offsetToCoords(im2colOffset, ${x}, ${E});
-    vec2 kernelCoords = offsetToCoords(kernelOffset, ${S}, ${A});
-    value += dot(${D.texture2D}(Im2Col, im2colCoords), ${D.texture2D}(K, kernelCoords));
-    ++im2colOffset;
-    ++kernelOffset;
-  }
-  ${G}
-  return value;
-}`;return Object.assign(Object.assign({},o),{output:{dims:g,type:f[0].type,textureType:d.TextureType.unpacked},shaderSource:z})})(p,e,c,l,n)})}},7992:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseFlattenAttributes=t.flatten=void 0;const s=i(2517);t.flatten=(d,u,h)=>{a(u,h);const p=s.ShapeUtil.flattenShape(u[0].dims,h);return[d.reshapeUnpacked(u[0],p)]},t.parseFlattenAttributes=d=>d.attributes.getInt("axis",1);const a=(d,u)=>{if(!d||d.length!==1)throw new Error("Flatten requires 1 input.");const h=d[0].dims.length;if(h===0)throw new Error("scalar tensor is not supported.");if(u<-h||u>h)throw new Error("Invalid axis");if(d[0].type==="string")throw new Error("string tensor is not supported.")}},2823:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseInternalActivationAttributes=t.getActivationSnippet=void 0;const s=i(2517),a=i(4909);t.getActivationSnippet=function(d){let u;switch(d.activation){case"Relu":u=(0,a.glslRelu)();break;case"Sigmoid":u=(0,a.glslSigmoid)();break;case"Clip":u=(0,a.glslClip)(d.clipMin,d.clipMax);break;default:return{activationFunction:"",applyActivation:""}}const h=u.name;return{activationFunction:u.body,applyActivation:`value = ${h}_(value);`}},t.parseInternalActivationAttributes=d=>{const u=d.getString("activation","");if(u==="Clip"){const[h,p]=d.getFloats("activation_params",[s.MIN_CLIP,s.MAX_CLIP]);return{activation:u,clipMax:p,clipMin:h,activationCacheKey:`${u}:${h},${p}`}}return{activation:u,activationCacheKey:u}}},1253:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseGatherAttributes=t.gather=void 0;const s=i(246),a=i(782),d=i(2517),u=i(2039);t.gather=(l,n,e)=>(c(n,e.axis),[l.run(p(l,n,e),n)]),t.parseGatherAttributes=l=>(0,s.createAttributeWithCacheKey)({axis:l.attributes.getInt("axis",0)});const h={name:"Gather",inputNames:["A","B"],inputTypes:[u.TextureType.unpacked,u.TextureType.unpacked]},p=(l,n,e)=>{const r=Object.assign(Object.assign({},h),{cacheHint:e.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((o,f,g,b)=>{const _=g[0].dims.slice(),y=g[1].dims.slice(),w=new Array(_.length+y.length-1);b=d.ShapeUtil.normalizeAxis(b,_.length);const v=[];for(let A=0;A<w.length;A++)A<b?(w[A]=_[A],v.push(`inputIdx[${A}] = outputIdx[${A}];`)):A<b+y.length?(w[A]=y[A-b],v.push(`indexDataIdx[${A-b}] = outputIdx[${A}];`)):(w[A]=_[A-y.length+1],v.push(`inputIdx[${A-y.length+1}] = outputIdx[${A}];`));const S=`
-      float process(int outputIdx[${w.length||1}]) {
-        int inputIdx[${_.length}];
-        int indexDataIdx[${y.length||1}];
-        indexDataIdx[0] = 0;
-        ${v.join(`
-        `)}
-        int idx = int(_B(indexDataIdx));
-        inputIdx[${b}] = idx < 0 ? idx + ${_[b]} : idx;
-        return _A(inputIdx);
-      }`;return Object.assign(Object.assign({},f),{output:{dims:w,type:g[0].type,textureType:u.TextureType.unpacked},shaderSource:S})})(0,r,n,e.axis)})},c=(l,n)=>{if(!l||l.length!==2)throw new Error("Gather requires 2 inputs.");const e=l[0].dims.length;if(e<1)throw new Error("Invalid input shape.");if(n<-e||n>e-1)throw new Error("Invalid axis.");if(a.NUMBER_TYPES.indexOf(l[0].type)===-1)throw new Error("Invaid input type.");if(l[1].type!=="int32"&&l[1].type!=="int16")throw new Error("Invaid input type.")}},4776:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseGemmAttributesV11=t.parseGemmAttributesV7=t.gemm=void 0;const s=i(246),a=i(2517),d=i(2039);t.gemm=(l,n,e)=>(c(n,e),[l.run(h(n,e),n)]);const u=(l,n)=>{const e=l.attributes.getInt("transA",0)!==0,r=l.attributes.getInt("transB",0)!==0,o=l.attributes.getFloat("alpha",1),f=l.attributes.getFloat("beta",1);return(0,s.createAttributeWithCacheKey)({transA:e,transB:r,alpha:o,beta:f,isOptionalC:n})};t.parseGemmAttributesV7=l=>u(l,!1),t.parseGemmAttributesV11=l=>u(l,!0);const h=(l,n)=>{const e={name:"Gemm",inputNames:l.length===3?["A","B","C"]:["A","B"],inputTypes:l.length===3?[d.TextureType.unpacked,d.TextureType.unpacked,d.TextureType.unpacked]:[d.TextureType.unpacked,d.TextureType.unpacked],key:n.cacheKey};return Object.assign(Object.assign({},e),{get:()=>p(e,l,n)})},p=(l,n,e)=>{const r=n[0].dims.slice(),o=n[1].dims.slice(),[f,g]=a.GemmUtil.getShapeOfGemmResult(r,e.transA,o,e.transB,n.length===3?n[2].dims:void 0),b=[f,g];if(!b)throw new Error("Can't use gemm on the given tensors");let _=r[r.length-1],y="";e.transA&&(_=r[0]),e.transA&&e.transB?y="value += _A_T(a) * _B_T(b);":e.transA&&!e.transB?y="value += _A_T(a) * _B(b);":!e.transA&&e.transB?y="value += _A(a) * _B_T(b);":e.transA||e.transB||(y="value += _A(a) * _B(b);");const w=b.length,v=`
-      float process(int indices[${w}]) {
-          int a[${w}];
-          int b[${w}];
-          ${n.length===3?`int c[${n[2].dims.length}];`:""}
-
-          copyVec(indices, a);
-          copyVec(indices, b);
-          ${n.length===3?"bcastIndices_C(indices, c);":""}
-
-          float value = 0.0;
-          for (int k=0; k<${_}; ++k) {
-              a[${w-1}] = k;
-              b[${w-2}] = k;
-              ${y}
-          }
-
-          value = value * alpha;
-          ${n.length===3?"value += beta * _C(c);":""}
-          return value;
-      }`;return Object.assign(Object.assign({},l),{output:{dims:b,type:n[0].type,textureType:d.TextureType.unpacked},variables:[{name:"alpha",type:"float",data:e.alpha},{name:"beta",type:"float",data:e.beta}],shaderSource:v})},c=(l,n)=>{if(!l)throw new Error("Input is missing");if(n.isOptionalC&&(l.length<2||l.length>3))throw new Error("Invaid input shape.");if(!n.isOptionalC&&l.length!==3)throw new Error("Gemm requires 3 inputs");if(l.length===3&&l[2].dims.length!==1&&l[2].dims.length!==2)throw new Error("Invalid input shape of C");if(l[0].type!=="float32"&&l[0].type!=="float64"||l[1].type!=="float32"&&l[1].type!=="float64"||l.length===3&&l[2].type!=="float32"&&l[2].type!=="float64")throw new Error("Invalid input type.");if(l[0].type!==l[1].type||l.length===3&&l[0].type!==l[2].type)throw new Error("Input types are mismatched")}},8555:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.createPackedIm2ColProgramInfoLoader=void 0;const s=i(5060),a=i(2039),d=i(2827);t.createPackedIm2ColProgramInfoLoader=(u,h,p,c,l)=>{const n=(e=l.cacheKey,{name:"Im2Col (packed)",inputNames:["A"],inputTypes:[a.TextureType.packed],cacheHint:e});var e;return Object.assign(Object.assign({},n),{get:()=>((r,o,f,g,b,_)=>{const y=f.dims,w=g.dims,v=b.length,S=[w[1]*w[2]*w[3],b[2]*b[3]],A=w[2]*w[3],I=(0,d.unpackFromChannel)(),x=(0,s.getGlsl)(r.session.backend.glContext.version);let E="";for(let R=0;R<=1;R++)for(let $=0;$<=1;$++)E+=`
-            blockIndex = rc.x + ${$};
-            pos = rc.y + ${R};
-
-            if(blockIndex < ${S[1]} && pos < ${S[0]}) {
-              offsetY = int(blockIndex / (${b[v-1]})) * ${_.strides[0]} -
-                ${_.pads[0]};
-              d0 = offsetY + ${_.dilations[0]} * (imod(pos, ${A}) / ${w[2]});
-
-              if(d0 < ${y[2]} && d0 >= 0) {
-                offsetX = imod(blockIndex, ${b[v-1]}) * ${_.strides[1]} -
-                  ${_.pads[1]};
-                d1 = offsetX + ${_.dilations[1]} * imod(imod(pos, ${A}), ${w[2]});
-
-                if(d1 < ${y[3]} && d1 >= 0) {
-
-                  ch = int(float(pos)/ ${A}.);
-                    innerDims = vec2(d0, d1);
-                    result[${2*R+$}] = getChannel(
-                      getA(0, ch, int(innerDims.x),
-                      int(innerDims.y)), innerDims);
-                }
-              }
-            }
-
-          `;const F=`
-      ${I}
-
-      void main() {
-        ivec2 rc = getOutputCoords();
-          vec4 result = vec4(0.0);
-          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
-          vec2 innerDims;
-          ${E}
-          ${x.output} = result;
-      }
-            `;return Object.assign(Object.assign({},o),{output:{dims:S,type:f.type,textureType:a.TextureType.packed},shaderSource:F,hasMain:!0})})(u,n,h,p,c,l)})}},3248:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.calculateIm2ColDims=t.createIm2ColProgramInfoLoader=void 0;const s=i(2039);t.createIm2ColProgramInfoLoader=(a,d,u,h,p)=>{const c=(l=p.cacheKey,{name:"Im2Col",inputNames:["X"],inputTypes:[s.TextureType.unpacked],cacheHint:l});var l;return Object.assign(Object.assign({},c),{get:()=>((n,e,r,o,f,g)=>{const b=r.dims,_=o.dims,y=f.length,w=(0,t.calculateIm2ColDims)(b,_,f,4),v=`
-        const int XC = ${b[1]};
-        const int XH = ${b[2]};
-        const int XW = ${b[3]};
-        const int KH = ${g.kernelShape[0]};
-        const int KW = ${g.kernelShape[1]};
-        const int dilationH = ${g.dilations[0]};
-        const int dilationW = ${g.dilations[1]};
-        const int strideH = ${g.strides[0]};
-        const int strideW = ${g.strides[1]};
-        const int padH = ${g.pads[0]};
-        const int padW = ${g.pads[1]};
-        const int KHKW = KH*KW;
-        const int XCKHKW = XC * KHKW;
-        const int outputChannels = 4;
-        vec4 process(int indices[${y}]) {
-          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[${b.length}];
-              x[0] = b;
-              x[1] = patchC;
-              x[2] = xh2;
-              x[3] = xw2;
-              if(xh2 >= 0 &&
-                  xh2 < XH &&
-                  xw2 >= 0 &&
-                  xw2 < XW) {
-                value[i] = _X(x);
-              }
-            }
-            ++p;
-          }
-          return value;
-        }
-        `;return Object.assign(Object.assign({},e),{output:{dims:w,type:r.type,textureType:s.TextureType.packedLastDimension},shaderSource:v})})(0,c,d,u,h,p)})},t.calculateIm2ColDims=(a,d,u,h=4)=>[u[0],u[2],u[3],Math.ceil(a[1]*d[2]*d[3]/h)]},6572:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseImageScalerAttributes=t.imageScaler=void 0;const s=i(246),a=i(2039);t.imageScaler=(c,l,n)=>(p(l),[c.run(u(c,l,n),l)]),t.parseImageScalerAttributes=c=>{const l=c.attributes.getFloat("scale"),n=c.attributes.getFloats("bias");return(0,s.createAttributeWithCacheKey)({scale:l,bias:n})};const d={name:"ImageScaler",inputNames:["X"],inputTypes:[a.TextureType.unpacked]},u=(c,l,n)=>{const e=Object.assign(Object.assign({},d),{cacheHint:n.cacheKey});return Object.assign(Object.assign({},e),{get:()=>((r,o,f,g)=>{const b=f[0].dims.slice(),_=b.length,y=`
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-        int a[4];
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-        a[1] = indices[1];
-        float temp = 0.0;
-        for(int a2=0; a2<${r[2]}; a2++) {
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-          for(int a3=0; a3<${r[3]}; a3++) {
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-        float mean = temp / float(${f});
-        temp = 0.0;
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-          for(int a3=0; a3<${r[3]}; a3++) {
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-            float x = _X(a);
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-        return v;
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-      vec4 get_MeanAndVariance(int[2] mv) {
-        int offset = indicesToOffset_MeanAndVariance(mv);
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-
-      float process(int[4] indices) {
-        int mv[2];
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-        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;
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-  ${ve} coords = getOutputCoords();
-  ${Ue}
-  ${Ze}
-  vec4 outputValue = getA(${Pe});
-  return outputValue;
-}
-
-vec4 getBAtOutCoordsMatmul(int i) {
-  ${ve} coords = getOutputCoords();
-  ${Ue}
-  ${qe}
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-            ${J}
-            ${X}
-            ${z}
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-      `}
-
-              vec4 value = vec4(0);
-              for (int i = 0; i < ${E}; i++) {
-                vec4 a = ${ee};
-                vec4 b = ${ue};
-
-                value += (a.rrbb * b.rgrg);
-                value += (a.ggaa * b.baba);
-              }
-              ${w}
-              ${Z}
-              ${$.output} = value;
-            }`;return Object.assign(Object.assign({},g),{output:{dims:A,type:b[0].type,textureType:d.TextureType.packed},shaderSource:Se,hasMain:!0})})(c,e,l,n)})}},5623:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.getBiasForMatmul=t.createMatmulProgramInfoLoader=t.parseMatMulAttributes=t.matMul=void 0;const s=i(2517),a=i(2039),d=i(9390),u=i(2823),h=i(708);function p(n,e){const r=(o=n.length>2,f=e.activationCacheKey,{name:"MatMul",inputNames:o?["A","B","Bias"]:["A","B"],inputTypes:o?[a.TextureType.unpacked,a.TextureType.unpacked,a.TextureType.unpacked]:[a.TextureType.unpacked,a.TextureType.unpacked],cacheHint:f});var o,f;return Object.assign(Object.assign({},r),{get:()=>function(g,b,_){const y=b[0].dims,w=b[1].dims,v=s.BroadcastUtil.calcShape(y,w,!0);if(!v)throw new Error("Can't use matmul on the given tensors");const S=(0,d.getCoordsDataType)(v.length),A=(0,d.getGlChannels)(),{activationFunction:I,applyActivation:x}=(0,u.getActivationSnippet)(_),E=b.length>2,F=E?"value += getBiasForMatmul();":"",R=E?`${l(S,A,b[2].dims,v,!1)}`:"",$=v.length,L=y.length,G=w.length,D=`
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-    ${R}
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-        int a[${L}];
-        int b[${G}];
-        bcastMatmulIndices_A(indices, a);
-        bcastMatmulIndices_B(indices, b);
-
-        float value;
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-            a[${L-1}] = k;
-            b[${G-2}] = k;
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-        }
-        ${F}
-        ${x}
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-`);let v="vec4(outputValue.xx, outputValue.yy)";return s.ShapeUtil.size(r)===1&&(v="vec4(outputValue.x)"),f?`
-vec4 getBiasForMatmul() {
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-  ${w}
-  vec4 outputValue = getBias(${g});
-  return ${v};
-}`:`
-float getBiasForMatmul() {
-  ${n} coords = getOutputCoords();
-  ${w}
-  return getBias(coords.x);
-}`}t.getBiasForMatmul=l},2403:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.createPackProgramInfoLoader=void 0;const s=i(5060),a=i(2039),d=i(9390),u=i(2827),h={name:"pack",inputNames:["A"],inputTypes:[a.TextureType.unpackedReversed]};t.createPackProgramInfoLoader=(p,c)=>Object.assign(Object.assign({},h),{get:()=>((l,n)=>{const e=(0,s.getGlsl)(l.session.backend.glContext.version),r=n.dims,o=r.length,f=n.dims.length,g=(0,d.getCoordsDataType)(f),b=(0,u.getChannels)("rc",f),_=(y=f,w=b,v=r[r.length-2],S=r[r.length-1],y===0||y===1?"":`
-    int r = ${w[y-2]};
-    int c = ${w[y-1]};
-    int rp1 = ${w[y-2]} + 1;
-    int cp1 = ${w[y-1]} + 1;
-    bool rEdge = rp1 >= ${S};
-    bool cEdge = cp1 >= ${v};
-    `);var y,w,v,S;let A;A=o===0?[1,1]:o===1?[r[0],1]:[r[f-1],r[f-2]];const I=function(F,R,$){if(F===0)return"false";if(F===1)return`rc > ${R[0]}`;let L="";for(let G=F-2;G<F;G++)L+=`${$[G]} >= ${R[G-F+2]}`,G<F-1&&(L+="||");return L}(f,A,b),x=function(F,R){const $=F.length;if($===0)return"getA(), 0, 0, 0";if($===1)return`getA(rc),
-            rc + 1 >= ${F[0]} ? 0. : getA(rc + 1),
-            0, 0`;let L="";if($>2)for(let G=0;G<$-2;++G)L+=`${R[G]},`;return`getA(${L}r, c),
-          rEdge ? 0. : getA(${L}rp1, c),
-          cEdge ? 0. : getA(${L}r, cp1),
-          rEdge || cEdge ? 0. : getA(${L}rp1, cp1)`}(r,b),E=`
-        void main() {
-          ${g} rc = getOutputCoords();
-
-          if(${I}) {
-            ${e.output} = vec4(0);
-          } else {
-            ${_}
-
-            ${e.output} = vec4(${x});
-          }
-        }
-      `;return Object.assign(Object.assign({},h),{hasMain:!0,output:{dims:n.dims,type:n.type,textureType:a.TextureType.packed},shaderSource:E})})(p,c)})},2827:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.unpackFromChannel=t.getChannels=t.getVecChannels=void 0;const s=i(9390);function a(d,u){return(0,s.getGlChannels)(u).map(h=>`${d}.${h}`)}t.getVecChannels=a,t.getChannels=function(d,u){return u===1?[d]:a(d,u)},t.unpackFromChannel=function(){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);
-    }
-  `}},2870:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parsePadAttributesV11=t.padV11=t.parsePadAttributesV2=t.padV2=void 0;const s=i(246),a=i(2517),d=i(5060),u=i(2039),h={name:"Pad",inputNames:["A"],inputTypes:[u.TextureType.unpacked]};t.padV2=(g,b,_)=>(l(b),[g.run(Object.assign(Object.assign({},h),{cacheHint:_.cacheKey,get:()=>c(g,b[0],_)}),b)]),t.parsePadAttributesV2=g=>{const b=g.attributes.getString("mode","constant"),_=g.attributes.getFloat("value",0),y=g.attributes.getInts("pads");return(0,s.createAttributeWithCacheKey)({mode:b,value:_,pads:y})},t.padV11=(g,b,_)=>{n(b);const y=p(g,b,_);return(0,t.padV2)(g,[b[0]],y)},t.parsePadAttributesV11=g=>g.attributes.getString("mode","constant");const p=(g,b,_)=>{if(!g.session.isInitializer(b[1].dataId)||b.length>=3&&!g.session.isInitializer(b[2].dataId))throw new Error("dynamic pad attributes are not allowed");const y=Array.from(b[1].integerData),w=b.length>=3?b[2].floatData[0]:0;return(0,s.createAttributeWithCacheKey)({mode:_,pads:y,value:w})},c=(g,b,_)=>{const y=a.ShapeUtil.padShape(b.dims.slice(),_.pads),w=y.length,v=`
-      ${e(g,b,_)}
-      float process(int[${w}] indices) {
-          return padA(indices);
-      }`;return{name:"Pad",inputNames:["A"],inputTypes:[u.TextureType.unpacked],output:{dims:y,type:b.type,textureType:u.TextureType.unpacked},shaderSource:v}},l=g=>{if(!g||g.length!==1)throw new Error("Pad requires 1 input");if(g[0].type!=="float32"&&g[0].type!=="float64")throw new Error("Invalid input type.")},n=g=>{if(!g||g.length!==2&&g.length!==3)throw new Error("Pad requires 2 or 3 inputs");if(g[1].type!=="int32")throw new Error("Invalid input type.");if(g.length>=3&&g[2].type==="string")throw new Error("Invalid input type.")},e=(g,b,_)=>{const y=(0,d.getGlsl)(g.session.backend.glContext.version),[w,v]=g.calculateTextureWidthAndHeight(b.dims,u.TextureType.unpacked),S=a.ShapeUtil.computeStrides(b.dims);switch(_.mode){case"constant":return r(y,b.dims,S,w,v,_.pads,_.value);case"reflect":return o(y,b.dims,S,w,v,_.pads);case"edge":return f(y,b.dims,S,w,v,_.pads);default:throw new Error("Invalid mode")}},r=(g,b,_,y,w,v,S)=>{const A=b.length;let I="";for(let x=A-1;x>=0;--x)I+=`
-        k = m[${x}] - ${v[x]};
-        if (k < 0)  return constant;
-        if (k >= ${b[x]}) return constant;
-        offset += k * ${_[x]};
-        `;return`
-      float padA(int m[${A}]) {
-        const float constant = float(${S});
-        int offset = 0;
-        int k = 0;
-        ${I}
-        vec2 coords = offsetToCoords(offset, ${y}, ${w});
-        float value = getColorAsFloat(${g.texture2D}(A, coords));
-        return value;
-      }
-      `},o=(g,b,_,y,w,v)=>{const S=b.length;let A="";for(let I=S-1;I>=0;--I)A+=`
-        k = m[${I}] - ${v[I]};
-        if (k < 0) { k = -k; }
-        {
-          const int _2n_1 = ${2*(b[I]-1)};
-          k = int( mod( float(k), float(_2n_1) ) ) ;
-          if(k >= ${b[I]}) { k = _2n_1 - k; }
-        }
-        offset += k * ${_[I]};
-        `;return`
-      float padA(int m[${S}]) {
-        int offset = 0;
-        int k = 0;
-        ${A}
-        vec2 coords = offsetToCoords(offset, ${y}, ${w});
-        float value = getColorAsFloat(${g.texture2D}(A, coords));
-        return value;
-      }
-      `},f=(g,b,_,y,w,v)=>{const S=b.length;let A="";for(let I=S-1;I>=0;--I)A+=`
-        k = m[${I}] - ${v[I]};
-        if (k < 0)  k = 0;
-        if (k >= ${b[I]}) k = ${b[I]-1};
-        offset += k * ${_[I]};
-      `;return`
-      float padA(int m[${S}]) {
-        int offset = 0;
-        int k = 0;
-        ${A}
-        vec2 coords = offsetToCoords(offset, ${y}, ${w});
-        float value = getColorAsFloat(${g.texture2D}(A, coords));
-        return value;
-      }
-      `}},2143:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.globalMaxPool=t.parseMaxPoolAttributes=t.maxPool=t.parseGlobalAveragePoolAttributes=t.globalAveragePool=t.parseAveragePoolAttributes=t.averagePool=void 0;const s=i(246),a=i(2517),d=i(2039);t.averagePool=(f,g,b)=>{n(g);const _={name:"AveragePool",inputNames:["X"],inputTypes:[d.TextureType.unpacked],cacheHint:b.cacheKey};return[f.run(Object.assign(Object.assign({},_),{get:()=>u(g,_,!1,b)}),g)]},t.parseAveragePoolAttributes=f=>{const g=f.attributes.getString("auto_pad","NOTSET"),b=f.attributes.getInt("ceil_mode",0),_=f.attributes.getInt("count_include_pad",0)!==0,y=f.attributes.getInts("kernel_shape"),w=f.attributes.getInts("strides",[]),v=f.attributes.getInts("pads",[]);if(b!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return(0,s.createAttributeWithCacheKey)({autoPad:g,ceilMode:b,countIncludePad:_,kernelShape:y,strides:w,pads:v})};const u=(f,g,b,_)=>{const[y,w]=p(f,_,b),v=a.ShapeUtil.size(y.kernelShape);let S="";y.countIncludePad?S+=`value /= float(${v});`:S+=`value /= float(${v} - pad);`;const A=`
-        ${e(f[0].dims,y,"value += _X(x);",S,"0.0")}
-      `;return Object.assign(Object.assign({},g),{output:{dims:w,type:f[0].type,textureType:d.TextureType.unpacked},shaderSource:A})};t.globalAveragePool=(f,g,b)=>{n(g);const _={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[d.TextureType.unpacked],cacheHint:`${b.countIncludePad}`};return[f.run(Object.assign(Object.assign({},_),{get:()=>u(g,_,!0,b)}),g)]},t.parseGlobalAveragePoolAttributes=f=>{const g=f.attributes.getInt("count_include_pad",0)!==0;return(0,s.createAttributeWithCacheKey)({autoPad:"",ceilMode:0,countIncludePad:g,kernelShape:[],strides:[],pads:[]})},t.maxPool=(f,g,b)=>{n(g);const _={name:"MaxPool",inputNames:["X"],inputTypes:[d.TextureType.unpacked],cacheHint:b.cacheKey};return[f.run(Object.assign(Object.assign({},_),{get:()=>h(g,_,!1,b)}),g)]},t.parseMaxPoolAttributes=f=>{const g=f.attributes.getString("auto_pad","NOTSET"),b=f.attributes.getInt("ceil_mode",0),_=f.attributes.getInts("kernel_shape"),y=f.attributes.getInts("strides",[]),w=f.attributes.getInts("pads",[]),v=f.attributes.getInt("storage_order",0),S=f.attributes.getInts("dilations",[]);if(v!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(b!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");return(0,s.createAttributeWithCacheKey)({autoPad:g,ceilMode:b,countIncludePad:!1,kernelShape:_,strides:y,pads:w,storageOrder:v,dilations:S})};const h=(f,g,b,_)=>{const[y,w]=p(f,_,b),v=`
-      ${e(f[0].dims,y,`
-      value = max(_X(x), value);
-    `,"","-1e5")}
-    `;return Object.assign(Object.assign({},g),{output:{dims:w,type:f[0].type,textureType:d.TextureType.unpacked},shaderSource:v})},p=(f,g,b)=>{const _=f[0].dims.slice(),y=Object.hasOwnProperty.call(g,"dilations"),w=g.kernelShape.slice(),v=g.strides.slice(),S=y?g.dilations.slice():[],A=g.pads.slice();a.PoolConvUtil.adjustPoolAttributes(b,_,w,v,S,A);const I=a.PoolConvUtil.computePoolOutputShape(b,_,v,S,w,A,g.autoPad),x=Object.assign({},g);return y?Object.assign(x,{kernelShape:w,strides:v,pads:A,dilations:S,cacheKey:g.cacheKey}):Object.assign(x,{kernelShape:w,strides:v,pads:A,cacheKey:g.cacheKey}),[x,I]},c={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""},l={name:"GlobalMaxPool",inputNames:["X"],inputTypes:[d.TextureType.unpacked]};t.globalMaxPool=(f,g)=>(n(g),[f.run(Object.assign(Object.assign({},l),{get:()=>h(g,l,!0,c)}),g)]);const n=f=>{if(!f||f.length!==1)throw new Error("Pool ops requires 1 input.");if(f[0].type!=="float32"&&f[0].type!=="float64")throw new Error("Invalid input type.")},e=(f,g,b,_,y)=>{const w=f.length;if(g.kernelShape.length<=2){const v=g.kernelShape[g.kernelShape.length-1],S=g.strides[g.strides.length-1],A=g.pads[g.pads.length/2-1],I=g.pads[g.pads.length-1],x=f[w-1];let E="",F="",R="";if(E=A+I!==0?`
-          for (int i = 0; i < ${v}; i++) {
-            x[${w} - 1] = indices[${w} - 1] * ${S} - ${A} + i;
-            if (x[${w} - 1] < 0 || x[${w} - 1] >= ${x}) {
-              pad++;
-              continue;
-            }
-            ${b}
-          }`:`
-          for (int i = 0; i < ${v}; i++) {
-            x[${w} - 1] = indices[${w} - 1] * ${S} - ${A} + i;
-            ${b}
-          }`,g.kernelShape.length===2){const $=g.kernelShape[g.kernelShape.length-2],L=g.strides[g.strides.length-2],G=g.pads[g.pads.length/2-2],D=g.pads[g.pads.length-2],z=f[w-2];F=G+D!==0?`
-            for (int j = 0; j < ${$}; j++) {
-              x[${w} - 2] = indices[${w} - 2] * ${L} - ${G} + j;
-              if (x[${w} - 2] < 0 || x[${w} - 2] >= ${z}) {
-                pad+= ${v};
-                continue;
-              }
-          `:`
-            for (int j = 0; j < ${$}; j++) {
-              x[${w} - 2] = indices[${w} - 2] * ${L} - ${G} + j;
-            `,R=`
-          }
-        `}return`
-        float process(int indices[${w}]) {
-          int x[${w}];
-          copyVec(indices, x);
-
-          float value = ${y};
-          int pad = 0;
-          ${F}
-          ${E}
-          ${R}
-          ${_}
-          return value;
-        }
-      `}{const v=a.ShapeUtil.size(g.kernelShape),S=a.ShapeUtil.computeStrides(g.kernelShape),A=S.length,I=g.pads.length,x=o(A),E=r(f,"inputDims"),F=r(g.pads,"pads"),R=r(S,"kernelStrides"),$=r(g.strides,"strides");let L="";return L=g.pads.reduce((G,D)=>G+D)?`
-            if (x[j] >= inputDims[j] || x[j] < 0) {
-              pad++;
-              isPad = true;
-              break;
-            }
-          }
-          if (!isPad) {
-            ${b}
-          }`:`
-          }
-          ${b}
-        `,`
-        ${x}
-        float process(int indices[${w}]) {
-          int x[${w}];
-          copyVec(indices, x);
-          int offset[${A}];
-          int pads[${I}];
-          int inputDims[${w}];
-          int kernelStrides[${A}];
-          int strides[${A}];
-          ${F}
-          ${E}
-          ${$}
-          ${R}
-
-          float value = ${y};
-          int pad = 0;
-          bool isPad = false;
-          for (int i = 0; i < ${v}; i++) {
-            offsetToIndices(i, kernelStrides, offset);
-            isPad = false;
-            for (int j = ${w} - ${A}; j < ${w}; j++) {
-              x[j] = indices[j] * strides[j - ${w} + ${A}]
-                + offset[j - ${w} + ${A}] - pads[j - 2];
-              ${L}
-          }
-          ${_}
-
-          return value;
-        }
-      `}},r=(f,g)=>{let b="";for(let _=0;_<f.length;_++)b+=`
-      ${g}[${_}] = ${f[_]};
-    `;return b},o=f=>`
-  void offsetToIndices(int offset, int[${f}] strides, out int[${f}] indices) {
-    if (${f} == 0) {
-      return;
-    }
-    for (int i = 0; i < ${f} - 1; ++i) {
-      indices[i] = offset / strides[i];
-      offset -= indices[i] * strides[i];
-    }
-    indices[${f} - 1] = offset;
-  }`},4939:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.reduceLogSumSquare=t.reduceLogSum=t.reduceProd=t.reduceMin=t.reduceMax=t.reduceMean=t.reduceSum=t.parseReduceAttributes=void 0;const s=i(246),a=i(782),d=i(2517),u=i(2039),h=(l,n,e,r,o)=>{c(n);const f={name:r,inputNames:["A"],inputTypes:[u.TextureType.unpacked]};return[l.run(Object.assign(Object.assign({},f),{cacheHint:e.cacheKey,get:()=>p(l,n,e,r,o,f)}),n)]};t.parseReduceAttributes=l=>{const n=l.attributes.getInts("axes",[]),e=l.attributes.getInt("keepdims",1)===1;return(0,s.createAttributeWithCacheKey)({axes:n,keepDims:e})};const p=(l,n,e,r,o,f)=>{const g=[],b=n[0].dims.length||1,_=[],y=d.ShapeUtil.normalizeAxes(e.axes,n[0].dims.length),w=o(n,y);let v=w[1];for(let A=0;A<n[0].dims.length;A++)y.indexOf(A)>=0||y.length===0?(e.keepDims&&g.push(1),v=`
-          for(int j${A} = 0; j${A} < ${n[0].dims[A]}; j${A}++) {
-            inputIdx[${A}] = j${A};
-            ${v}
-          }`):(_.push(`inputIdx[${A}] = outputIdx[${g.length}];`),g.push(n[0].dims[A]));const S=`
-      float process(int outputIdx[${g.length||1}]) {
-        float value;                 // final result
-        int inputIdx[${b}];      // addressing input data
-        ${_.join(`
-`)}
-        ${w[0]}       // init ops for reduce max/min
-        ${v}
-        ${w[2]}       // final computation for reduce mean
-        return value;
-      }`;return Object.assign(Object.assign({},f),{output:{dims:g,type:n[0].type,textureType:u.TextureType.unpacked},shaderSource:S})},c=l=>{if(!l||l.length!==1)throw new Error("Reduce op requires 1 input.");if(a.NUMBER_TYPES.indexOf(l[0].type)===-1)throw new Error("Invalid input type.")};t.reduceSum=(l,n,e)=>h(l,n,e,"ReduceSum",()=>["value = 0.0;","value += _A(inputIdx);",""]),t.reduceMean=(l,n,e)=>h(l,n,e,"ReduceMean",(r,o)=>{let f=1;for(let g=0;g<r[0].dims.length;g++)(o.indexOf(g)>=0||o.length===0)&&(f*=r[0].dims[g]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${f}.;`]}),t.reduceMax=(l,n,e)=>h(l,n,e,"ReduceMax",(r,o)=>{const f=[];for(let g=0;g<r[0].dims.length;g++)(o.indexOf(g)>=0||o.length===0)&&f.push(`inputIdx[${g}] = 0;`);return[`${f.join(`
-`)}
-value = _A(inputIdx);`,"value = max(value, _A(inputIdx));",""]}),t.reduceMin=(l,n,e)=>h(l,n,e,"ReduceMin",(r,o)=>{const f=[];for(let g=0;g<r[0].dims.length;g++)(o.indexOf(g)>=0||o.length===0)&&f.push(`inputIdx[${g}] = 0;`);return[`${f.join(`
-`)}
-value = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]}),t.reduceProd=(l,n,e)=>h(l,n,e,"ReduceProd",()=>["value = 1.0;","value *= _A(inputIdx);",""]),t.reduceLogSum=(l,n,e)=>h(l,n,e,"ReduceLogSum",()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"]),t.reduceLogSumSquare=(l,n,e)=>h(l,n,e,"ReduceLogSumSquare",()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""])},7019:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.isReshapeCheap=t.processDims3D=t.createPackedReshape3DProgramInfoLoader=void 0;const s=i(2517),a=i(5060),d=i(2039),u=i(2827);t.createPackedReshape3DProgramInfoLoader=(h,p,c)=>{const l=(n=>({name:"Reshape (packed)",inputTypes:[d.TextureType.packed],inputNames:["A"],cacheHint:`${n}`}))(c);return Object.assign(Object.assign({},l),{get:()=>((n,e,r,o)=>{const f=e.dims,g=o;let b="";for(let w=0;w<4;w++){let v="";switch(w){case 0:v="outputCoords = rc;";break;case 1:v="outputCoords = ivec3(rc.x, rc.y+1, rc.z);";break;case 2:v="outputCoords = ivec3(rc.x, rc.y, rc.z+1);";break;case 3:v="outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);";break;default:throw new Error}b+=`
-        ${v}
-        ${w>0?"if(outputCoords.y < rows && outputCoords.z < cols){":""}
-          int flattenedIndex = getFlattenedIndex(outputCoords);
-
-          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);
-          vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));
-
-          result[${w}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);
-
-        ${w>0?"}":""}
-      `}const _=(0,a.getGlsl)(n.session.backend.glContext.version),y=`
-      ${function(w){const v=s.ShapeUtil.computeStrides(w),S=["b","r","c"],A="index";return`
-    ivec3 inputCoordsFromReshapedOutCoords(int index) {
-      ${v.map((I,x)=>`int ${S[x]} = ${A} / ${I}; ${x===v.length-1?`int ${S[x+1]} = ${A} - ${S[x]} * ${I}`:`index -= ${S[x]} * ${I}`};`).join("")}
-      return ivec3(b, r, c);
-    }
-  `}(f)}
-      ${function(w){const v=s.ShapeUtil.computeStrides(w);return`
-  int getFlattenedIndex(ivec3 coords) {
-    // reverse y, z order
-    return coords.x * ${v[0]} + coords.z * ${v[1]} + coords.y;
-  }
-`}(g)}
-      ${(0,u.unpackFromChannel)()}
-
-      void main() {
-        ivec3 rc = getOutputCoords();
-
-        vec4 result = vec4(0.0);
-
-        ivec3 outputCoords;
-        int rows = ${g[2]};
-        int cols = ${g[1]};
-
-        ${b}
-        ${_.output} = result;
-      }
-    `;return Object.assign(Object.assign({},r),{output:{dims:g,type:e.type,textureType:d.TextureType.packed},shaderSource:y,hasMain:!0})})(h,p,l,c)})},t.processDims3D=function(h){if(h.length===0)return[1,1,1];let p=1;for(let c=0;c<h.length-2;++c)p*=h[c];return[p,h.length>1?h[h.length-2]:1,h[h.length-1]]},t.isReshapeCheap=function(h,p){let c=!1;return c=h.length===0||p.length===0||(h.length<2||p.length<2?h[h.length-1]===p[p.length-1]:h[h.length-1]===p[p.length-1]&&h[h.length-2]===p[p.length-2]),c}},718:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.reshape=void 0;const s=i(2517);t.reshape=(a,d)=>{const u=s.ShapeUtil.calculateReshapedDims(d[0].dims,d[1].integerData);return a.session.pack?[a.reshapePacked(d[0],u)]:[a.reshapeUnpacked(d[0],u)]}},2268:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseResizeAttributesV11=t.parseResizeAttributesV10=t.resize=void 0;const s=i(5060),a=i(2039),d=i(9390),u=i(2827),h=i(9793),p={name:"Resize",inputNames:["A"],inputTypes:[a.TextureType.packed]};t.resize=(r,o,f)=>((0,h.validateInputs)(o,f),[r.run(Object.assign(Object.assign({},p),{cacheHint:f.cacheKey,get:()=>c(r,o,f)}),o)]),t.parseResizeAttributesV10=r=>(0,h.parseUpsampleAttributes)(r,10),t.parseResizeAttributesV11=r=>(0,h.parseUpsampleAttributes)(r,11);const c=(r,o,f)=>{const g=(0,s.getGlsl)(r.session.backend.glContext.version),[b,_]=l(o,f);if(b.every(L=>L===1)&&f.coordinateTransformMode!=="tf_crop_and_resize")return Object.assign(Object.assign({},p),{output:{dims:_,type:o[0].type,textureType:a.TextureType.packed},hasMain:!0,shaderSource:`void main() {
-                    vec4 v = ${g.texture2D}(X, TexCoords);
-                    ${g.output} = v;
-                }`});const y=_.length;if(y<2)throw new Error(`output dimension should be at least 2, but got ${y}`);const w=_[y-2],v=_[y-1],S=o[0].dims;if(y!==S.length)throw new Error(`output dimension should match input ${S.length}, but got ${y}`);const A=S[y-2],I=S[y-1],x=b[y-2],E=b[y-1];let F="";if(f.mode!=="linear")throw new Error(`resize (packed) does not support mode: '${f.mode}'`);switch(f.coordinateTransformMode){case"asymmetric":F=`
-                    vec4 getSourceFracIndex(ivec4 coords) {
-                        return vec4(coords) / scaleWHWH;
-                    }
-                `;break;case"half_pixel":F=`
-                    vec4 getSourceFracIndex(ivec4 coords) {
-                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;
-                    }
-                `;break;case"pytorch_half_pixel":F=`
-                    vec4 getSourceFracIndex(ivec4 coords) {
-                        vec4 fcoords = vec4(coords);
-                        return vec4(
-                            ${v}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,
-                            ${w}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,
-                            ${v}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,
-                            ${w}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0
-                          );
-                    }
-                `;break;case"align_corners":F=`
-                    vec4 getSourceFracIndex(ivec4 coords) {
-                        vec4 resized = vec4(${v}.0 - 1.0, ${w}.0 - 1.0, ${v}.0 - 1.0,
-                            ${w}.0 - 1.0);
-                        vec4 original = vec4(${I}.0 - 1.0, ${A}.0 - 1.0, ${I}.0 - 1.0,
-                            ${A}.0 - 1.0);
-                        vec4 new_scale = original / resized;
-                        return vec4(coords) * new_scale;
-                    }
-                `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode:                                 '${f.coordinateTransformMode}'`)}const R=(0,d.getCoordsDataType)(y),$=`
-            const vec2 inputWH = vec2(${A}.0, ${I}.0);
-            const vec4 scaleWHWH = vec4(float(${x}), float(${E}), float(${x}), float(${E}));
-            ${(0,u.unpackFromChannel)()}
-            ${F}
-            float getAValue(int x10, int r, int c, int d) {
-                return getChannel(getA(x10, r, c, d), vec2(c, d));
-            }
-            void main() {
-                ${R} 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 < ${w-1};
-                bool hasNextCol = rc.z < ${v-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);
-
-                ${g.output} = vec4(newValue);
-            }
-        `;return Object.assign(Object.assign({},p),{output:{dims:_,type:o[0].type,textureType:a.TextureType.packed},hasMain:!0,shaderSource:$})},l=(r,o)=>{const f=r[0].dims;let g,b=o.scales;if(b.length===0){const y=r[o.scalesInputIdx];if(y&&y.size!==0){if(r[o.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");b=n(y,o.mode,o.isResize)}else{const w=r[o.sizesInputIdx];if(!w||w.size===0)throw new Error("Either scales or sizes MUST be provided as input.");g=Array.from(w.integerData),b=e(g,f,o.mode,o.isResize)}}else if(r[o.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");const _=g||f.map((y,w)=>Math.floor(y*b[w]));return[b,_]},n=(r,o,f)=>{const g=Array.from(r.floatData);return(0,h.scalesValidation)(g,o,f),g},e=(r,o,f,g)=>{const b=o.length,_=new Array(b);for(let y=0,w=b;y<w;y++)if(o[y]===0){if(r[y]!==0)throw new Error("Input dim is zero but required output dim is non-zero.");_[y]=1}else _[y]=r[y]/o[y];return(0,h.scalesValidation)(_,f,g),_}},8117:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.shape=void 0;const s=i(9162);t.shape=(d,u)=>(a(u),[new s.Tensor([u[0].dims.length],"int32",void 0,void 0,new Int32Array(u[0].dims))]);const a=d=>{if(!d||d.length!==1)throw new Error("Shape requires 1 input.")}},2278:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.sliceV10=t.parseSliceAttributes=t.slice=void 0;const s=i(246),a=i(782),d=i(2517),u=i(2039),h={name:"Slice",inputNames:["A"],inputTypes:[u.TextureType.unpacked]};t.slice=(e,r,o)=>(c(r),[e.run(Object.assign(Object.assign({},h),{cacheHint:o.cacheKey,get:()=>p(e,r[0],o)}),r)]),t.parseSliceAttributes=e=>{const r=e.attributes.getInts("starts"),o=e.attributes.getInts("ends"),f=e.attributes.getInts("axes",[]);return(0,s.createAttributeWithCacheKey)({starts:r,ends:o,axes:f})};const p=(e,r,o)=>{const f=o.axes.length===0?r.dims.slice(0).map((S,A)=>A):o.axes,g=d.ShapeUtil.normalizeAxes(f,r.dims.length),b=o.starts.map((S,A)=>S>r.dims[g[A]]-1?r.dims[g[A]]:d.ShapeUtil.normalizeAxis(S,r.dims[g[A]])),_=o.ends.map((S,A)=>S>r.dims[g[A]]-1?r.dims[g[A]]:d.ShapeUtil.normalizeAxis(S,r.dims[g[A]])),y=r.dims.slice(),w=[];for(let S=0;S<g.length;S++)y[g[S]]=_[S]-b[S],b[S]>0&&w.push(`outputIdx[${g[S]}] += ${b[S]};`);const v=`
-      float process(int outputIdx[${y.length}]) {
-        ${w.join(`
-      `)}
-        return _A(outputIdx);
-      }`;return Object.assign(Object.assign({},h),{output:{dims:y,type:r.type,textureType:u.TextureType.unpacked},shaderSource:v})},c=e=>{if(!e||e.length!==1)throw new Error("Slice requires 1 input.");if(a.NUMBER_TYPES.indexOf(e[0].type)===-1)throw new Error("Invalid input type.")};t.sliceV10=(e,r)=>{n(r);const o=l(e,r);return[e.run(Object.assign(Object.assign({},h),{cacheHint:o.cacheKey,get:()=>p(e,r[0],o)}),[r[0]])]};const l=(e,r)=>{if(!e.session.isInitializer(r[1].dataId)||!e.session.isInitializer(r[2].dataId)||r.length>=4&&!e.session.isInitializer(r[3].dataId)||r.length>=5&&!e.session.isInitializer(r[4].dataId))throw new Error("dynamic slice attributes are not allowed");if(r.length>=5&&r[4].integerData.some(b=>b!==1))throw new Error("currently non-1 steps is not supported for Slice");const o=Array.from(r[1].integerData),f=Array.from(r[2].integerData),g=r.length>=4?Array.from(r[3].integerData):[];return{starts:o,ends:f,axes:g,cacheKey:`${g};${o};${f}`}},n=e=>{if(!e||e.length<3||e.length>5)throw new Error("Invalid input number.");if(e[1].type!=="int32"||e[1].dims.length!==1)throw new Error("Invalid input type.");if(e[2].type!=="int32"||e[2].dims.length!==1)throw new Error("Invalid input type.");if(e.length>=4&&(e[3].type!=="int32"||e[3].dims.length!==1))throw new Error("Invalid input type.");if(e.length>=5&&(e[4].type!=="int32"||e[4].dims.length!==1))throw new Error("Invalid input type.")}},5524:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.softmaxV13=t.parseSoftmaxAttributesV13=t.parseSoftmaxAttributes=t.softmax=void 0;const s=i(246),a=i(2517),d=i(5060),u=i(2039),h=i(3738),p={name:"SoftmaxComputeMax",inputNames:["A"],inputTypes:[u.TextureType.unpacked]},c={name:"SoftmaxComputeScale",inputNames:["A","Max"],inputTypes:[u.TextureType.unpacked,u.TextureType.unpacked]},l={name:"SoftMax",inputNames:["A","Max","Norm"],inputTypes:[u.TextureType.unpacked,u.TextureType.unpacked,u.TextureType.unpacked]};t.softmax=(g,b,_)=>{f(b);const y=b[0].dims.slice(),w=a.ShapeUtil.normalizeAxis(_.axis,y.length),v=a.ShapeUtil.sizeToDimension(y,w),S=a.ShapeUtil.sizeFromDimension(y,w);return n(g,b,_,v,S)},t.parseSoftmaxAttributes=g=>(0,s.createAttributeWithCacheKey)({axis:g.attributes.getInt("axis",1)}),t.parseSoftmaxAttributesV13=g=>(0,s.createAttributeWithCacheKey)({axis:g.attributes.getInt("axis",-1)}),t.softmaxV13=(g,b,_)=>{f(b);const y=b[0].dims.slice(),w=a.ShapeUtil.normalizeAxis(_.axis,y.length),v=y.length,S=w!==v-1,A=[];let I,x=[],E=[];S&&(x=Array.from({length:v}).map((L,G)=>G),x[w]=v-1,x[v-1]=w,x.map(L=>A.push(y[L])),I=(0,s.createAttributeWithCacheKey)({perm:x}),E=(0,h.transpose)(g,b,I));const F=S?a.ShapeUtil.sizeToDimension(A,v-1):a.ShapeUtil.sizeToDimension(y,v-1),R=S?a.ShapeUtil.sizeFromDimension(A,v-1):a.ShapeUtil.sizeFromDimension(y,v-1),$=n(g,S?E:b,_,F,R);return S?(0,h.transpose)(g,$,I):$};const n=(g,b,_,y,w)=>{const v=e(g,b[0],y,w,[y]),S=g.run(Object.assign(Object.assign({},p),{cacheHint:_.cacheKey,get:()=>v}),b),A=r(g,b[0],y,w,v.output.dims,[y]),I=g.run(Object.assign(Object.assign({},c),{cacheHint:_.cacheKey,get:()=>A}),[b[0],S]),x=o(g,b[0],y,w,v.output.dims,A.output.dims);return[g.run(Object.assign(Object.assign({},l),{cacheHint:_.cacheKey,get:()=>x}),[b[0],S,I])]},e=(g,b,_,y,w)=>{const[v,S]=g.calculateTextureWidthAndHeight(b.dims,u.TextureType.unpacked),A=w.length;if(_<1||y<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(w.length!==1)throw new Error("Dimensionality of the output should be 1");if(w[0]!==_)throw new Error("Shape of the output should be equal to logical row count");const I=(0,d.getGlsl)(g.session.backend.glContext.version),x=`
-      float process(int[${A}] indices) {
-        int logical_row_start_offset = indices[0] * ${y};
-
-        float max = getColorAsFloat(${I.texture2D}(A, offsetToCoords(logical_row_start_offset, ${v},
-        ${S} )));
-        for(int i=1; i<${y}; ++i)
-        {
-          float current = getColorAsFloat(${I.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
-            ${v}, ${S})));
-          if(current > max)
-          max = current;
-        }
-
-        return max;
-      }`;return Object.assign(Object.assign({},p),{output:{dims:w,type:b.type,textureType:u.TextureType.unpacked},shaderSource:x})},r=(g,b,_,y,w,v)=>{const[S,A]=g.calculateTextureWidthAndHeight(b.dims,u.TextureType.unpacked),I=v.length;if(_<1||y<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(v.length!==1)throw new Error("Dimensionality of the output should be 1");if(v[0]!==_)throw new Error("Shape of the output should be equal to logical row count");if(w.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(w[0]!==_)throw new Error("Shape of the intermediate results should be equal to logical row count");const x=`
-      float process(int[${I}] indices) {
-        int logical_row_start_offset = indices[0] * ${y};
-
-        float norm_factor = 0.0;
-        float max = _Max(indices);
-        for(int i=0; i<${y}; ++i)
-        {
-          norm_factor += exp(getColorAsFloat(${(0,d.getGlsl)(g.session.backend.glContext.version).texture2D}(A, offsetToCoords(logical_row_start_offset + i,
-            ${S}, ${A}))) - max);
-        }
-
-        return norm_factor;
-      }`;return Object.assign(Object.assign({},c),{output:{dims:v,type:b.type,textureType:u.TextureType.unpacked},shaderSource:x})},o=(g,b,_,y,w,v)=>{const[S,A]=g.calculateTextureWidthAndHeight(b.dims,u.TextureType.unpacked),I=b.dims.length;if(_<1||y<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(w.length!==1||v.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(w[0]!==_||v[0]!==_)throw new Error("Shape of the intermediate results should be equal to logical row count");const x=`
-      float process(int[${I}] indices) {
-
-      // get offset of current logical tensor index from the 2-D texture coordinates (TexCoords)
-      int offset = coordsToOffset(TexCoords, ${S}, ${A});
-
-      //determine the logical row for this index
-      int logical_row_index[1];
-      logical_row_index[0] = offset / ${y};
-
-      float norm_factor = _Norm(logical_row_index);
-
-      // avoid possible division by 0
-      // if norm_facor is 0, all elements are zero
-      // if so, return 0
-      if(norm_factor == 0.0)
-        return 0.0;
-
-      return exp(_A(indices) - _Max(logical_row_index)) / norm_factor;
-    }`;return Object.assign(Object.assign({},l),{output:{dims:b.dims,type:b.type,textureType:u.TextureType.unpacked},shaderSource:x})},f=g=>{if(!g||g.length!==1)throw new Error("Softmax requires 1 input.");if(g[0].type!=="float32"&&g[0].type!=="float64")throw new Error("Invalid input type")}},5975:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseSplitAttributes=t.split=void 0;const s=i(246),a=i(2517),d=i(2039),u={name:"Split",inputNames:["A"],inputTypes:[d.TextureType.unpacked]};t.split=(l,n,e)=>{c(n);const r=a.ShapeUtil.normalizeAxis(e.axis,n[0].dims.length),o=h(l,n,r,e),f=[];for(let g=0;g<o;++g)f.push(l.run(Object.assign(Object.assign({},u),{cacheHint:`${e.cacheKey};${g}`,get:()=>p(l,n[0],e,r,g)}),n));return f},t.parseSplitAttributes=l=>{const n=l.attributes.getInt("axis",0),e=l.attributes.getInts("split",[]),r=l.outputs.length;return(0,s.createAttributeWithCacheKey)({axis:n,split:e,numOutputs:r})};const h=(l,n,e,r)=>{const[,o]=a.SplitUtil.splitShape(n[0].dims,e,r.split,r.numOutputs);return o.length},p=(l,n,e,r,o)=>{const[f,g]=a.SplitUtil.splitShape(n.dims,r,e.split,e.numOutputs),b=g[o],_=f[o],y=`
-      float process(int indices[${_.length}]) {
-        indices[${r}] += ${b};
-        return _A(indices);
-      }
-    `;return Object.assign(Object.assign({},u),{cacheHint:`${e.cacheKey}:${o}`,output:{dims:_,type:n.type,textureType:d.TextureType.unpacked},shaderSource:y})},c=l=>{if(!l||l.length!==1)throw new Error("Split requires one input.");if(l[0].type!=="int8"&&l[0].type!=="uint8"&&l[0].type!=="int16"&&l[0].type!=="uint16"&&l[0].type!=="int32"&&l[0].type!=="uint32"&&l[0].type!=="float32"&&l[0].type!=="float64"&&l[0].type!=="bool")throw new Error("Invalid input type.")}},3933:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseSqueezeAttributes=t.squeezeV13=t.squeeze=void 0;const s=i(2517);t.squeeze=(u,h,p)=>{a(h);const c=s.ShapeUtil.squeezeShape(h[0].dims,p);return[u.reshapeUnpacked(h[0],c)]},t.squeezeV13=(u,h)=>(d(h),(0,t.squeeze)(u,[h[0]],Array.from(h[1].integerData))),t.parseSqueezeAttributes=u=>u.attributes.getInts("axes");const a=u=>{if(!u||u.length!==1)throw new Error("Squeeze requires 1 input.");if(u[0].type==="string")throw new Error("invalid input tensor types.")},d=u=>{if(!u||u.length!==2)throw new Error("Squeeze requires 2 inputs.");if(u[1].type!=="int32")throw new Error("Invalid input type.")}},6558:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.sum=void 0;const s=i(5060),a=i(2039);t.sum=(h,p)=>{u(p);const c={name:"Sum",inputNames:p.map((l,n)=>`X${n}`),inputTypes:new Array(p.length).fill(a.TextureType.unpacked)};return[h.run(Object.assign(Object.assign({},c),{get:()=>d(h,p,c)}),p)]};const d=(h,p,c)=>{const l=(0,s.getGlsl)(h.session.backend.glContext.version),n=p[0].dims.slice(),e=`
-      void main() {
-        vec4 result = ${p.map((r,o)=>`${l.texture2D}(X${o},TexCoords)`).join(" + ")};
-        ${l.output} = result;
-      }
-    `;return Object.assign(Object.assign({},c),{output:{dims:n,type:p[0].type,textureType:a.TextureType.unpacked},hasMain:!0,shaderSource:e})},u=h=>{if(!h||h.length===0)throw new Error("Sum requires inputs.");const p=h[0].dims.length;for(let c=1;c<h.length;c++){if(p!==h[c].dims.length)throw new Error("Input shapes are mismatched.");for(let l=0;l<p;l++)if(h[0].dims[l]!==h[c].dims[l])throw new Error("Input shapes are not matched.")}if(h[0].type!=="float32"&&h[0].type!=="float64")throw new Error("Invalid input type.");for(let c=1;c<h.length;c++)if(h[0].type!==h[c].type)throw new Error("Input types are not matched.")}},5723:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.tile=void 0;const s=i(782),a=i(2039);t.tile=(h,p)=>{u(p);const c={name:"Tile",inputNames:["A"],inputTypes:[a.TextureType.unpacked]};return[h.run(Object.assign(Object.assign({},c),{get:()=>d(h,p,c)}),p)]};const d=(h,p,c)=>{const l=p[0].dims.slice(),n=new Array(l.length),e=[];for(let f=0;f<l.length;f++)n[f]=l[f]*p[1].numberData[f],e.push(`inputIdx[${f}] = int(mod(float(outputIdx[${f}]), ${l[f]}.));`);const r=n.length,o=`
-      float process(int outputIdx[${r}]) {
-        int inputIdx[${r}];
-        ${e.join(`
-`)}
-        return _A(inputIdx);
-      }
-    `;return Object.assign(Object.assign({},c),{output:{dims:n,type:p[0].type,textureType:a.TextureType.unpacked},shaderSource:o})},u=h=>{if(!h||h.length!==2)throw new Error("Tile requires 2 input.");if(h[1].dims.length!==1)throw new Error("The second input shape must 1 dimension.");if(h[1].dims[0]!==h[0].dims.length)throw new Error("Invalid input shape.");if(s.NUMBER_TYPES.indexOf(h[0].type)===-1)throw new Error("Invalid input type.");if(h[1].type!=="int32"&&h[1].type!=="int16")throw new Error("Invalid repeat type.")}},3738:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseTransposeAttributes=t.transpose=void 0;const s=i(246),a=i(2517),d=i(2039),u={name:"Transpose",inputNames:["A"],inputTypes:[d.TextureType.unpacked]};t.transpose=(e,r,o)=>(n(r),[e.run(Object.assign(Object.assign({},u),{cacheHint:o.cacheKey,get:()=>h(e,r[0],o.perm)}),r)]),t.parseTransposeAttributes=e=>(0,s.createAttributeWithCacheKey)({perm:e.attributes.getInts("perm",[])});const h=(e,r,o)=>{const f=r.dims;o=p(f,o);const g=c(f,o),b=f.length,_=`
-      ${l("perm",o,b)}
-      float process(int indices[${b}]) {
-        int a[${b}];
-        perm(a, indices);
-        return _A(a);
-      }`;return Object.assign(Object.assign({},u),{output:{dims:g,type:r.type,textureType:d.TextureType.unpacked},shaderSource:_})},p=(e,r)=>(r&&r.length!==e.length&&(r=[...e.keys()].reverse()),r),c=(e,r)=>(r=p(e,r),a.ShapeUtil.sortBasedOnPerm(e,r)),l=(e,r,o)=>{const f=[];f.push(`void ${e}(out int a[${o}], int src[${o}]) {`);for(let g=0;g<o;++g)f.push(`	a[${r[g]}]=src[${g}];`);return f.push("	}"),f.join(`
-`)},n=e=>{if(!e||e.length!==1)throw new Error("Transpose requires 1 input.");if(e[0].type!=="float32"&&e[0].type!=="float64")throw new Error("input should be float tensor")}},8710:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.encodeAsUint8=void 0;const s=i(5060),a=i(2039);t.encodeAsUint8=(d,u)=>{const h=u.shape,p=(0,s.getGlsl)(d.session.backend.glContext.version),c=`
-    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 = ${p.texture2D}(X,TexCoords).r;
-      ${p.output} = encodeAsUint8(value);
-    }`,l={name:"Uint8Encode",inputTypes:[a.TextureType.unpacked],inputNames:["X"],output:{dims:h,type:u.tensor.type,textureType:a.TextureType.downloadUint8AsFloat},shaderSource:c,hasMain:!0};return d.executeProgram(l,[u.tensor])}},4909:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.tanh=t.tan=t.sqrt=t.sin=t.sigmoid=t.relu=t.not=t.neg=t.log=t.parseLeakyReluAttributes=t.leakyRelu=t.identity=t.floor=t.exp=t.parseEluAttributes=t.elu=t.cos=t.ceil=t.clipV11=t.parseClipAttributes=t.clip=t.atan=t.asin=t.acos=t.abs=t.glslTanh=t.glslTan=t.glslSqrt=t.glslSigmoid=t.glslRelu=t.glslSin=t.glslNot=t.glslNeg=t.glslLog=t.glslLeakyRelu=t.glslIdentity=t.glslClip=t.glslFloor=t.glslExp=t.glslElu=t.glslCos=t.glslCeil=t.glslAtan=t.glslAsin=t.glslAcos=t.glslAbs=void 0;const s=i(246),a=i(2517),d=i(8520),u=i(5060),h=i(2039);function p(){return $("abs")}function c(){return $("acos")}function l(){return $("asin")}function n(){return $("atan")}function e(){return $("ceil")}function r(){return $("cos")}function o(D){const z="elu";return{body:`
-  const float alpha = float(${D});
-
-  float ${z}_(float a) {
-    return a >= 0.0 ? a: (exp(a) - 1.0) * alpha;
-  }
-  vec4 ${z}_(vec4 v) {
-    return vec4(${z}_(v.x), ${z}_(v.y), ${z}_(v.z), ${z}_(v.w));
-  }
-  `,name:z,type:d.FunctionType.ValueBased}}function f(){return $("exp")}function g(){return $("floor")}function b(D,z){const Z="clip";return{body:`
-  const float min = float(${D});
-  const float max = float(${z});
-
-  float ${Z}_(float a) {
-    return clamp(a, min, max);
-  }
-  vec4 ${Z}_(vec4 v) {
-    return clamp(v, min, max);
-  }
-  `,name:Z,type:d.FunctionType.ValueBased}}function _(){const D="indentity";return{body:`
-  float ${D}_(float a) {
-    return a;
-  }
-  vec4 ${D}_(vec4 v) {
-    return v;
-  }
-  `,name:D,type:d.FunctionType.ValueBased}}function y(D){const z="leakyRelu";return{body:`
-  const float alpha = float(${D});
-
-  float ${z}_(float a) {
-    return a < 0.0 ? a * alpha : a;
-  }
-  vec4 ${z}_(vec4 v) {
-    return vec4(${z}_(v.x), ${z}_(v.y), ${z}_(v.z), ${z}_(v.w));
-  }
-  `,name:z,type:d.FunctionType.ValueBased}}function w(){return $("log")}function v(){const D="neg";return{body:`
-  float ${D}_(float a) {
-    return -a;
-  }
-  vec4 ${D}_(vec4 v) {
-    return -v;
-  }
-  `,name:D,type:d.FunctionType.ValueBased}}function S(){const D="not";return{body:`
-  float ${D}_(float a) {
-    return float( ! bool(a) );
-  }
-  bool ${D}_(bool a) {
-    return !a;
-  }
-  vec4 ${D}_(vec4 v) {
-    return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w));
-  }
-  bvec4 ${D}_(bvec4 v) {
-    return bvec4(!v.x, !v.y, !v.z, !v.w);
-  }
-  `,name:D,type:d.FunctionType.ValueBased}}function A(){return $("sin")}function I(){const D="relu";return{body:`
-  float ${D}_(float a) {
-    return max( a, 0.0 );
-  }
-  vec4 ${D}_(vec4 v) {
-    return max( v, 0.0 );
-  }
-  `,name:D,type:d.FunctionType.ValueBased}}function x(){const D="sigmoid";return{body:`
-  float ${D}_(float a) {
-    return 1.0 / (1.0 + exp(-a));
-  }
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-    return 1.0 / (1.0 + exp(-v));
-  }
-  `,name:D,type:d.FunctionType.ValueBased}}function E(){return $("sqrt")}function F(){return $("tan")}function R(){const D="tanh";return{body:`
-  float ${D}_(float a) {
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-    a = exp(2.*a);
-    return (a - 1.) / (a + 1.);
-  }
-  vec4 ${D}_(vec4 v) {
-    v = clamp(v, -10., 10.);
-    v = exp(2.*v);
-    return (v - 1.) / (v + 1.);
-  }
-  `,name:D,type:d.FunctionType.ValueBased}}function $(D){return{body:`
-  float ${D}_(float a) {
-    return ${D}(a);
-  }
-  vec4 ${D}_(vec4 v) {
-    return ${D}(v);
-  }
-  `,name:D,type:d.FunctionType.ValueBased}}t.glslAbs=p,t.glslAcos=c,t.glslAsin=l,t.glslAtan=n,t.glslCeil=e,t.glslCos=r,t.glslElu=o,t.glslExp=f,t.glslFloor=g,t.glslClip=b,t.glslIdentity=_,t.glslLeakyRelu=y,t.glslLog=w,t.glslNeg=v,t.glslNot=S,t.glslSin=A,t.glslRelu=I,t.glslSigmoid=x,t.glslSqrt=E,t.glslTan=F,t.glslTanh=R;const L=(D,z,Z,X)=>{const J=D.session.pack?h.TextureType.packed:h.TextureType.unpacked,ee={name:Z.name,inputTypes:[J],inputNames:["A"],cacheHint:X};return Object.assign(Object.assign({},ee),{get:()=>((ue,Se,ve,se)=>{const ye=ue.session.pack?h.TextureType.packed:h.TextureType.unpacked,be=(0,u.getGlsl)(ue.session.backend.glContext.version);return Object.assign(Object.assign({},Se),{output:{dims:ve.dims,type:ve.type,textureType:ye},shaderSource:`
-     ${se.body}
-     void main() {
-       vec4 v = ${be.texture2D}(A, TexCoords);
-       v = ${se.name}_(v);
-       ${be.output} = v;
-     }
-     `,hasMain:!0})})(D,ee,z,Z)})};t.abs=(D,z)=>[D.run(L(D,z[0],p()),z)],t.acos=(D,z)=>[D.run(L(D,z[0],c()),z)],t.asin=(D,z)=>[D.run(L(D,z[0],l()),z)],t.atan=(D,z)=>[D.run(L(D,z[0],n()),z)],t.clip=(D,z,Z)=>[D.run(L(D,z[0],b(Z.min,Z.max),Z.cacheKey),z)],t.parseClipAttributes=D=>(0,s.createAttributeWithCacheKey)({min:D.attributes.getFloat("min",a.MIN_CLIP),max:D.attributes.getFloat("max",a.MAX_CLIP)}),t.clipV11=(D,z)=>{const Z=G(D,z);return(0,t.clip)(D,[z[0]],Z)};const G=(D,z)=>{if(z.length>=3&&(!D.session.isInitializer(z[1].dataId)||!D.session.isInitializer(z[2].dataId)))throw new Error("dynamic clip attributes are not allowed");const Z=z.length>=3?z[1].numberData[0]:a.MIN_CLIP,X=z.length>=3?z[2].numberData[0]:a.MAX_CLIP;return(0,s.createAttributeWithCacheKey)({min:Z,max:X})};t.ceil=(D,z)=>[D.run(L(D,z[0],e()),z)],t.cos=(D,z)=>[D.run(L(D,z[0],r()),z)],t.elu=(D,z,Z)=>[D.run(L(D,z[0],o(Z.alpha),Z.cacheKey),z)],t.parseEluAttributes=D=>(0,s.createAttributeWithCacheKey)({alpha:D.attributes.getFloat("alpha",1)}),t.exp=(D,z)=>[D.run(L(D,z[0],f()),z)],t.floor=(D,z)=>[D.run(L(D,z[0],g()),z)],t.identity=(D,z)=>[D.run(L(D,z[0],_()),z)],t.leakyRelu=(D,z,Z)=>[D.run(L(D,z[0],y(Z.alpha),Z.cacheKey),z)],t.parseLeakyReluAttributes=D=>(0,s.createAttributeWithCacheKey)({alpha:D.attributes.getFloat("alpha",.01)}),t.log=(D,z)=>[D.run(L(D,z[0],w()),z)],t.neg=(D,z)=>[D.run(L(D,z[0],v()),z)],t.not=(D,z)=>[D.run(L(D,z[0],S()),z)],t.relu=(D,z)=>[D.run(L(D,z[0],I()),z)],t.sigmoid=(D,z)=>[D.run(L(D,z[0],x()),z)],t.sin=(D,z)=>[D.run(L(D,z[0],A()),z)],t.sqrt=(D,z)=>[D.run(L(D,z[0],E()),z)],t.tan=(D,z)=>[D.run(L(D,z[0],F()),z)],t.tanh=(D,z)=>[D.run(L(D,z[0],R()),z)]},5611:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.createUnpackProgramInfoLoader=t.createUnpackProgramInfo=void 0;const s=i(5060),a=i(2039),d=i(9390),u=i(2827),h={name:"unpack",inputNames:["A"],inputTypes:[a.TextureType.packed]};t.createUnpackProgramInfo=(p,c)=>{const l=c.dims.length,n=(0,u.getChannels)("rc",l),e=n.slice(-2),r=(0,d.getCoordsDataType)(l),o=(0,u.unpackFromChannel)(),f=c.dims.length===0?"":function(_,y){if(_===1)return"rc";let w="";for(let v=0;v<_;v++)w+=y[v],v<_-1&&(w+=",");return w}(l,n),g=l<=1?"rc":`vec2(${e.join(",")})`,b=`
-    ${o}
-    void main() {
-      ${r} rc = getOutputCoords();
-
-       // Sample the texture with the coords to get the rgba channel value.
-       vec4 packedInput = getA(${f});
-
-       ${(0,s.getGlsl)(p.session.backend.glContext.version).output} = vec4(getChannel(packedInput, ${g}), 0, 0, 0);
-     }
-   `;return Object.assign(Object.assign({},h),{hasMain:!0,output:{dims:c.dims,type:c.type,textureType:a.TextureType.unpacked},shaderSource:b})},t.createUnpackProgramInfoLoader=(p,c)=>Object.assign(Object.assign({},h),{get:()=>(0,t.createUnpackProgramInfo)(p,c)})},8428:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.parseUnsqueezeAttributes=t.unsqueezeV13=t.unsqueeze=void 0;const s=i(2517);t.unsqueeze=(u,h,p)=>{a(h);const c=s.ShapeUtil.unsqueezeShape(h[0].dims,p);return[u.reshapeUnpacked(h[0],c)]},t.unsqueezeV13=(u,h)=>(d(h),(0,t.unsqueeze)(u,[h[0]],Array.from(h[1].integerData))),t.parseUnsqueezeAttributes=u=>u.attributes.getInts("axes");const a=u=>{if(!u||u.length!==1)throw new Error("Unsqueeze requires 1 input.");if(u[0].type==="string")throw new Error("invalid input tensor types.")},d=u=>{if(!u||u.length!==2)throw new Error("Unsqueeze requires 2 inputs.");if(u[1].type!=="int32")throw new Error("Invalid input type.")}},9793:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.scalesValidation=t.validateInputs=t.parseUpsampleAttributes=t.parseUpsampleAttributesV9=t.parseUpsampleAttributesV7=t.upsample=void 0;const s=i(246),a=i(5060),d=i(2039),u={name:"Upsample",inputNames:["X"],inputTypes:[d.TextureType.unpacked]};t.upsample=(p,c,l)=>((0,t.validateInputs)(c,l),[p.run(Object.assign(Object.assign({},u),{cacheHint:l.cacheKey,get:()=>h(p,c,l)}),c)]),t.parseUpsampleAttributesV7=p=>(0,t.parseUpsampleAttributes)(p,7),t.parseUpsampleAttributesV9=p=>(0,t.parseUpsampleAttributes)(p,9),t.parseUpsampleAttributes=(p,c)=>{const l=c>=10,n=p.attributes.getString("mode","nearest");if(n!=="nearest"&&n!=="linear"&&(c<11||n!=="cubic"))throw new Error(`unrecognized mode: ${n}`);let e=[];c<9&&(e=p.attributes.getFloats("scales"),(0,t.scalesValidation)(e,n,l));const r=p.attributes.getFloat("extrapolation_value",0),o=c>10?p.attributes.getString("coordinate_transformation_mode","half_pixel"):"asymmetric";if(["asymmetric","pytorch_half_pixel","tf_half_pixel_for_nn","align_corners","tf_crop_and_resize","half_pixel"].indexOf(o)===-1)throw new Error(`coordinate_transform_mode '${o}' is not supported`);const f=o==="tf_crop_and_resize",g=f,b=n==="nearest"&&c>=11?p.attributes.getString("nearest_mode","round_prefer_floor"):"";if(["round_prefer_floor","round_prefer_ceil","floor","ceil",""].indexOf(b)===-1)throw new Error(`nearest_mode '${b}' is not supported`);const _=p.attributes.getFloat("cubic_coeff_a",-.75),y=p.attributes.getInt("exclude_outside",0)!==0;if(y&&n!=="cubic")throw new Error("exclude_outside can be set to 1 only when mode is CUBIC.");const w=c<11||n==="nearest"&&o==="asymmetric"&&b==="floor";let v=0,S=0,A=0;return c>10?p.inputs.length>2?(v=1,S=2,A=3):(S=1,A=2):c===9&&(S=1),(0,s.createAttributeWithCacheKey)({opset:c,isResize:l,mode:n,scales:e,extrapolationValue:r,coordinateTransformMode:o,useExtrapolation:g,needRoiInput:f,nearestMode:b,cubicCoefficientA:_,excludeOutside:y,useNearest2xOptimization:w,roiInputIdx:v,scalesInputIdx:S,sizesInputIdx:A})};const h=(p,c,l)=>{const n=(0,a.getGlsl)(p.session.backend.glContext.version),[e,r]=p.calculateTextureWidthAndHeight(c[0].dims,d.TextureType.unpacked),o=c[0].dims.map((A,I)=>Math.floor(A*l.scales[I])),[f,g]=p.calculateTextureWidthAndHeight(o,d.TextureType.unpacked),b=o.length,_=new Array(b),y=new Array(b);let w=`
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-      `;for(let A=b-1;A>=0;A--)_[A]=A===b-1?1:_[A+1]*o[A+1],y[A]=A===b-1?1:y[A+1]*c[0].dims[A+1],w+=`
-        output_pitches[${A}] = ${_[A]};
-        input_pitches[${A}] = ${y[A]};
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-      float getInputFloat(int index) {
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-        return value;
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-      `,S=l.mode==="nearest"?`
-    ${v}
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-      int input_index = 0;
-      int output_index = coordsToOffset(TexCoords, ${f}, ${g});
-
-      ${w}
-
-      int d, m;
-      for (int dim = 0; dim < ${b}; ++dim) {
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-        m = output_index - d * output_pitches[dim];
-        output_index = m;
-
-        if (scales[dim] != 1 && d > 0) {
-          int d2 = d / scales[dim];
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-          d = d2;
-        }
-        input_index += input_pitches[dim] * d;
-      }
-
-      return getInputFloat(input_index);
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-    ${v}
-    float process(int indices[4]) {
-      int input_index = 0;
-      int output_index = coordsToOffset(TexCoords, ${f}, ${g});
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-      ${w}
-
-      int m;
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-      index_of_dim0 = output_index / output_pitches[0];
-      m = output_index - index_of_dim0 * output_pitches[0];
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-      m = m - index_of_dim1 * output_pitches[1];
-      index_of_dim2 = m / output_pitches[2];
-      m = m - index_of_dim2 * output_pitches[2];
-      index_of_dim3 = m;
-
-      int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset;
-      index_of_input_dim2 = index_of_dim2 / scales[2];
-      y_offset = index_of_dim2 - index_of_input_dim2 * scales[2];
-      index_of_input_dim3 = index_of_dim3 / scales[3];
-      x_offset = index_of_dim3 - index_of_input_dim3 * scales[3];
-
-      input_index = index_of_dim0 * input_pitches[0] +
-            index_of_dim1 * input_pitches[1] +
-            index_of_input_dim2 * input_pitches[2] +
-            index_of_input_dim3;
-
-      float x00 = getInputFloat(input_index);
-      float x10, x01, x11;
-
-      bool end_of_dim2 = false;
-      if (index_of_input_dim2 == (${c[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]);
-    }`:`
-    ${v}
-    float process(int indices[2]) {
-      int input_index = 0;
-      int output_index = coordsToOffset(TexCoords, ${f}, ${g});
-
-      ${w}
-
-      int m;
-      int index_of_dim0, index_of_dim1;
-      index_of_dim0 = output_index / output_pitches[0];
-      m = output_index - index_of_dim0 * output_pitches[0];
-      index_of_dim1 = m;
-
-      int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset;
-      index_of_input_dim0 = index_of_dim0 / scales[0];
-      y_offset = index_of_dim0 - index_of_input_dim0 * scales[0];
-      index_of_input_dim1 = index_of_dim1 / scales[1];
-      x_offset = index_of_dim1 - index_of_input_dim1 * scales[1];
-
-      input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1;
-
-      float x00 = getInputFloat(input_index);
-      float x10, x01, x11;
-
-      bool end_of_dim0 = false;
-      if (index_of_input_dim0 == (${c[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 Object.assign(Object.assign({},u),{output:{dims:o,type:c[0].type,textureType:d.TextureType.unpacked},shaderSource:S,variables:[{name:"scales",type:"int",arrayLength:l.scales.length,data:l.scales.map(A=>Math.ceil(A))}]})};t.validateInputs=(p,c)=>{if(!p||c.opset<9&&p.length!==1||c.opset>=9&&c.opset<11&&p.length!==2||c.opset>=11&&p.length<2)throw new Error("invalid inputs.");if(c.scales.length>0&&p[0].dims.length!==c.scales.length)throw new Error("Invalid input shape.");if(p[0].type==="string")throw new Error("Invalid input tensor types.")},t.scalesValidation=(p,c,l)=>{if(l){for(const n of p)if(n<=0)throw new Error("Scale value should be greater than 0.")}else for(const n of p)if(n<1)throw new Error("Scale value should be greater than or equal to 1.");if(!(c!=="linear"&&c!=="cubic"||p.length===2||p.length===4&&p[0]===1&&p[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 ${l?"Resize":"Upsample"} opeartor.`)}},1958:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.ProgramManager=void 0;const s=i(1670),a=i(6231),d=i(8879),u=i(5060);t.ProgramManager=class{constructor(h,p,c){this.profiler=h,this.glContext=p,this.textureLayoutStrategy=c,this.repo=new Map,this.attributesBound=!1}getArtifact(h){return this.repo.get(h)}setArtifact(h,p){this.repo.set(h,p)}run(h,p,c){var l;this.profiler.event("op",`ProgramManager.run ${(l=h.programInfo.name)!==null&&l!==void 0?l:"unknown kernel"}`,()=>{var n;const e=this.glContext.gl,r=h.program;e.useProgram(r);try{this.bindOutput(c),this.attributesBound||this.bindAttributes(h.attribLocations),this.bindUniforms(h.uniformLocations,(n=h.programInfo.variables)!==null&&n!==void 0?n:[],p)}catch(o){throw a.Logger.error("ProgramManager",h.programInfo.shaderSource),o}this.profiler.event("backend","GlContext.draw()",()=>{this.glContext.draw()})},this.glContext)}dispose(){this.vertexShader&&this.glContext.deleteShader(this.vertexShader),this.repo.forEach(h=>this.glContext.deleteProgram(h.program))}build(h,p,c){return this.profiler.event("backend","ProgramManager.build",()=>{const l=new d.GlslPreprocessor(this.glContext,h,p,c),n=l.preprocess(),e=this.compile(n);return{programInfo:h,program:e,uniformLocations:this.getUniformLocations(e,l.context.programInfo.inputNames,l.context.programInfo.variables),attribLocations:this.getAttribLocations(e)}})}compile(h){if(!this.vertexShader){a.Logger.verbose("ProrgramManager","Compiling and caching Vertex shader for the first time");const l=(0,u.getVertexShaderSource)(this.glContext.version);this.vertexShader=this.glContext.compileShader(l,this.glContext.gl.VERTEX_SHADER)}s.env.debug&&a.Logger.verbose("ProrgramManager",`FragShader:
-${h}
-`);const p=this.glContext.compileShader(h,this.glContext.gl.FRAGMENT_SHADER),c=this.glContext.createProgram(this.vertexShader,p);return this.glContext.deleteShader(p),c}bindOutput(h){const p=h.width,c=h.height;a.Logger.verbose("ProrgramManager",`Binding output texture to Framebuffer: w/h=${p}/${c}, shape=${h.shape}, type=${h.tensor.type}`),this.glContext.attachFramebuffer(h.texture,p,c)}bindAttributes(h){const p=h.position,c=h.textureCoord;this.glContext.setVertexAttributes(p,c),this.attributesBound=!0}bindUniforms(h,p,c){var l;const n=this.glContext.gl;let e=0;for(const{name:r,type:o,location:f,arrayLength:g}of h){const b=(l=p.find(_=>_.name===r))===null||l===void 0?void 0:l.data;if(o!=="sampler2D"&&!b)throw new Error(`variable '${r}' does not have data defined in program info`);switch(o){case"sampler2D":this.bindTexture(c[e],f,e),e++;break;case"float":g?n.uniform1fv(f,b):n.uniform1f(f,b);break;case"int":g?n.uniform1iv(f,b):n.uniform1i(f,b);break;default:throw new Error(`Uniform not implemented: ${o}`)}}}bindTexture(h,p,c){this.glContext.bindTextureToUniform(h.texture,c,p)}getAttribLocations(h){return{position:this.getAttribLocation(h,"position"),textureCoord:this.getAttribLocation(h,"textureCoord")}}getUniformLocations(h,p,c){const l=[];if(p)for(const n of p)l.push({name:n,type:"sampler2D",location:this.getUniformLocation(h,n)});if(c)for(const n of c)l.push(Object.assign(Object.assign({},n),{location:this.getUniformLocation(h,n.name)}));return l}getUniformLocation(h,p){const c=this.glContext.gl.getUniformLocation(h,p);if(c===null)throw new Error(`Uniform ${p} not found.`);return c}getAttribLocation(h,p){return this.glContext.gl.getAttribLocation(h,p)}}},6416:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.WebGLSessionHandler=void 0;const s=i(6231),a=i(1047),d=i(8316),u=i(1640),h=i(1958),p=i(7859),c=i(5702);t.WebGLSessionHandler=class{constructor(l,n){this.backend=l,this.context=n,this.layoutStrategy=new p.PreferLogicalStrategy(l.glContext.maxTextureSize),this.programManager=new h.ProgramManager(this.context.profiler,l.glContext,this.layoutStrategy),this.textureManager=new c.TextureManager(l.glContext,this.layoutStrategy,this.context.profiler,{reuseTextures:l.textureCacheMode==="full"}),this.packedTextureDataCache=new Map,this.unpackedTextureDataCache=new Map,this.pack=l.pack,this.pack2unpackMap=new Map,this.unpack2packMap=new Map}createInferenceHandler(){return new d.WebGLInferenceHandler(this)}onGraphInitialized(l){const n=l.getValues().filter(e=>e.from===-1&&e.tensor).map(e=>e.tensor.dataId);this.initializers=new Set(n)}isInitializer(l){return!!this.initializers&&this.initializers.has(l)}addInitializer(l){this.initializers.add(l)}getTextureData(l,n){return n?this.packedTextureDataCache.get(l):this.unpackedTextureDataCache.get(l)}setTextureData(l,n,e=!1){s.Logger.verbose("WebGLSessionHandler","Storing Texture data in cache"),e?this.packedTextureDataCache.set(l,n):this.unpackedTextureDataCache.set(l,n)}dispose(){this.programManager.dispose(),this.textureManager.clearActiveTextures(),this.packedTextureDataCache.forEach(l=>this.textureManager.releaseTexture(l,!0)),this.packedTextureDataCache=new Map,this.unpackedTextureDataCache.forEach(l=>this.textureManager.releaseTexture(l,!0)),this.unpackedTextureDataCache=new Map}resolve(l,n,e){const r=(0,a.resolveOperator)(l,n,u.WEBGL_OP_RESOLVE_RULES);return{impl:r.opImpl,context:r.opInit?r.opInit(l,e):l}}}},7769:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.Uint8DataEncoder=t.RGBAFloatDataEncoder=t.RedFloat32DataEncoder=void 0;const s=i(6231);t.RedFloat32DataEncoder=class{constructor(a,d=1){if(d===1)this.internalFormat=a.R32F,this.format=a.RED,this.textureType=a.FLOAT,this.channelSize=d;else{if(d!==4)throw new Error(`Invalid number of channels: ${d}`);this.internalFormat=a.RGBA32F,this.format=a.RGBA,this.textureType=a.FLOAT,this.channelSize=d}}encode(a,d){let u,h;return a.constructor!==Float32Array&&(s.Logger.warning("Encoder","data was not of type Float32; creating new Float32Array"),h=new Float32Array(a)),d*this.channelSize>a.length?(s.Logger.warning("Encoder","Source data too small. Allocating larger array"),h=a,u=this.allocate(d*this.channelSize),h.forEach((p,c)=>u[c]=p)):(h=a,u=h),u}allocate(a){return new Float32Array(4*a)}decode(a,d){return this.channelSize===1?a.filter((u,h)=>h%4==0).subarray(0,d):a.subarray(0,d)}},t.RGBAFloatDataEncoder=class{constructor(a,d=1,u){if(d!==1&&d!==4)throw new Error(`Invalid number of channels: ${d}`);this.internalFormat=a.RGBA,this.format=a.RGBA,this.channelSize=d,this.textureType=u||a.FLOAT}encode(a,d){let u=a;return this.channelSize===1&&(s.Logger.verbose("Encoder","Exploding into a larger array"),u=this.allocate(d),a.forEach((h,p)=>u[4*p]=h)),u}allocate(a){return new Float32Array(4*a)}decode(a,d){return this.channelSize===1?a.filter((u,h)=>h%4==0).subarray(0,d):a.subarray(0,d)}},t.Uint8DataEncoder=class{constructor(a,d=1){if(this.channelSize=4,d===1)this.internalFormat=a.ALPHA,this.format=a.ALPHA,this.textureType=a.UNSIGNED_BYTE,this.channelSize=d;else{if(d!==4)throw new Error(`Invalid number of channels: ${d}`);this.internalFormat=a.RGBA,this.format=a.RGBA,this.textureType=a.UNSIGNED_BYTE,this.channelSize=d}}encode(a,d){return new Uint8Array(a.buffer,a.byteOffset,a.byteLength)}allocate(a){return new Uint8Array(a*this.channelSize)}decode(a,d){if(a instanceof Uint8Array)return a.subarray(0,d);throw new Error(`Invalid array type: ${a.constructor}`)}}},7859:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.getBatchDim=t.sizeToSquarishShape=t.getRowsCols=t.sizeFromShape=t.isInt=t.parseAxisParam=t.squeezeShape=t.PreferLogicalStrategy=t.AlwaysKeepOriginalSizeStrategy=void 0;const s=i(6231),a=i(2517);function d(l,n){const e=[],r=[],o=n!=null&&Array.isArray(n)&&n.length===0,f=n==null||o?null:u(n,l).sort();let g=0;for(let b=0;b<l.length;++b){if(f!=null){if(f[g]===b&&l[b]!==1)throw new Error(`Can't squeeze axis ${b} since its dim '${l[b]}' is not 1`);(f[g]==null||f[g]>b)&&l[b]===1&&(e.push(l[b]),r.push(b)),f[g]<=b&&g++}l[b]!==1&&(e.push(l[b]),r.push(b))}return{newShape:e,keptDims:r}}function u(l,n){const e=n.length;return l=l==null?n.map((r,o)=>o):[].concat(l),(0,a.assert)(l.every(r=>r>=-e&&r<e),()=>`All values in axis param must be in range [-${e}, ${e}) but got axis ${l}`),(0,a.assert)(l.every(h),()=>`All values in axis param must be integers but got axis ${l}`),l.map(r=>r<0?e+r:r)}function h(l){return l%1==0}function p(l){if(l.length===0)return 1;let n=l[0];for(let e=1;e<l.length;e++)n*=l[e];return n}function c(l){const n=Math.ceil(Math.sqrt(l));return[n,Math.ceil(l/n)]}t.AlwaysKeepOriginalSizeStrategy=class{constructor(l){this.maxTextureSize=l}computeTextureWH(l,n){if(l.length===0)return[1,1];const e=this.maxTextureSize;if(n&&n.breakAxis!==void 0){const f=n.breakAxis>=l.length?1:l.slice(n.breakAxis).reduce((b,_)=>b*_),g=n.breakAxis<=0?1:l.slice(0,n.breakAxis).reduce((b,_)=>b*_);if(!(f>e||g>e))return[f,g];s.Logger.verbose("TextureLayout",`Given width/height preferences were unattainable: shape:${l}, breakAxis:${n.breakAxis}`)}const r=l.reduce((f,g)=>f*g);let o=Math.floor(Math.sqrt(r));for(;o<e&&o<r&&r%o!=0;o++);if(o>=e||r%o!=0)throw new Error(`The given dimensions are outside this GPU's boundaries: ${l}`);return[o,r/o]}},t.PreferLogicalStrategy=class{constructor(l){this.maxTextureSize=l}computeTextureWH(l,n){const e=this.computeTexture(l,n);return n&&n.isPacked&&(e[0]/=2,e[1]/=2),n&&n.reverseWH?[e[1],e[0]]:e}computeTexture(l,n){const e=n&&n.isPacked;if(l.length===0)return e?[2,2]:[1,1];let r=this.maxTextureSize;if(n&&n.breakAxis!==void 0){const g=n.breakAxis>=l.length?1:l.slice(n.breakAxis).reduce((_,y)=>_*y),b=n.breakAxis<=0?1:l.slice(0,n.breakAxis).reduce((_,y)=>_*y);if(!(g>r||b>r))return[g,b];s.Logger.verbose("TextureLayout",`Given width/height preferences were unattainable: shape:${l}, breakAxis:${n.breakAxis}`)}let o=l.slice(0);e&&(r*=2,o=o.map((g,b)=>b>=o.length-2?o[b]%2==0?o[b]:o[b]+1:o[b]),o.length===1&&(o=[2,o[0]])),o.length!==2&&(o=d(o).newShape);const f=p(o);return o.length<=1&&f<=r?[1,f]:o.length===2&&o[0]<=r&&o[1]<=r?o:o.length===3&&o[0]*o[1]<=r&&o[2]<=r?[o[0]*o[1],o[2]]:o.length===3&&o[0]<=r&&o[1]*o[2]<=r?[o[0],o[1]*o[2]]:o.length===4&&o[0]*o[1]*o[2]<=r&&o[3]<=r?[o[0]*o[1]*o[2],o[3]]:o.length===4&&o[0]<=r&&o[1]*o[2]*o[3]<=r?[o[0],o[1]*o[2]*o[3]]:e?c(f/4).map(g=>2*g):c(f)}},t.squeezeShape=d,t.parseAxisParam=u,t.isInt=h,t.sizeFromShape=p,t.getRowsCols=function(l){if(l.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[l.length>1?l[l.length-2]:1,l[l.length-1]]},t.sizeToSquarishShape=c,t.getBatchDim=function(l,n=2){return p(l.slice(0,l.length-n))}},4057:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.createTextureLayoutFromShape=t.calculateTextureWidthAndHeight=t.createTextureLayoutFromTextureType=void 0;const s=i(2517),a=i(2039);t.createTextureLayoutFromTextureType=(d,u,h)=>{const p=h===a.TextureType.unpacked||h===a.TextureType.unpackedReversed?1:4,c=h===a.TextureType.packed,l=h===a.TextureType.unpackedReversed||h===a.TextureType.packed,n=h===a.TextureType.packedLastDimension?u.length-1:void 0,e=h===a.TextureType.packedLastDimension?u.map((r,o)=>o===u.length-1?4*r:r):void 0;return(0,t.createTextureLayoutFromShape)(d,u,p,e,{isPacked:c,reverseWH:l,breakAxis:n})},t.calculateTextureWidthAndHeight=(d,u,h)=>{const p=(0,t.createTextureLayoutFromTextureType)(d,u,h);return[p.width,p.height]},t.createTextureLayoutFromShape=(d,u,h=1,p,c)=>{const l=!(!c||!c.isPacked),[n,e]=d.computeTextureWH(l&&p||u,c),r=u.length;let o=u.slice(0);if(r===0&&(o=[1]),h===1)p=u;else if(l){if(h!==4)throw new Error("a packed texture must be 4-channel");p=u,r>0&&(o[r-1]=Math.ceil(o[r-1]/2)),r>1&&(o[r-2]=Math.ceil(o[r-2]/2))}else if(!p)throw new Error("Unpacked shape is needed when using channels > 1");return{width:n,height:e,channels:h,isPacked:l,shape:o,strides:s.ShapeUtil.computeStrides(o),unpackedShape:p,reversedWH:c&&c.reverseWH}}},5702:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.TextureManager=void 0;const s=i(6231);t.TextureManager=class{constructor(a,d,u,h){this.glContext=a,this.layoutStrategy=d,this.profiler=u,this.config=h,this.pendingRead=new Map,h.reuseTextures&&(this.inUseTextures=new Map,this.idleTextures=new Map,this.textureLookup=new Map)}createTextureFromLayout(a,d,u,h){const p=this.toEncoderType(a),c=this.glContext.getEncoder(p,d.channels||1,h);if(d.isPacked&&h===1)throw new Error("not implemented");const l=d.width,n=d.height;let e,r;if(this.config.reuseTextures){e=`${l}x${n}_${c.format}_${c.internalFormat}_${c.textureType}`,r=this.inUseTextures.get(e),r||(r=[],this.inUseTextures.set(e,r));const f=this.idleTextures.get(e);if(f&&f.length>0){const g=f.pop();return r.push(g),h===1&&this.glContext.updateTexture(g,l,n,c,this.toTextureData(a,u)),g}}s.Logger.verbose("TextureManager",`Creating new texture of size ${d.width}x${d.height}`);const o=this.glContext.allocateTexture(l,n,c,this.toTextureData(a,u));return this.config.reuseTextures&&(r.push(o),this.textureLookup.set(o,e)),o}readTexture(a,d,u){return u||(u=1),this.profiler.event("backend","TextureManager.readTexture",()=>{const h=a.shape.reduce((c,l)=>c*l)*u,p=this.glContext.readTexture(a.texture,a.width,a.height,h,this.toEncoderType(d),u);return this.toTensorData(d,p)})}async readTextureAsync(a,d,u){const h=a.tensor.dataId;if(u||(u=1),this.pendingRead.has(h)){const p=this.pendingRead.get(h);return new Promise(c=>p==null?void 0:p.push(c))}return this.profiler.event("backend","TextureManager.readTextureAsync",async()=>{this.pendingRead.set(h,[]);const p=a.shape.reduce((e,r)=>e*r)*u;await this.glContext.createAndWaitForFence();const c=this.glContext.readTexture(a.texture,a.width,a.height,p,this.toEncoderType(d),u),l=this.toTensorData(d,c),n=this.pendingRead.get(h);return this.pendingRead.delete(h),n==null||n.forEach(e=>e(l)),l})}readUint8TextureAsFloat(a){return this.profiler.event("backend","TextureManager.readUint8TextureAsFloat",()=>{const d=a.shape.reduce((h,p)=>h*p),u=this.glContext.readTexture(a.texture,a.width,a.height,4*d,"byte",4);return new Float32Array(u.buffer,u.byteOffset,d)})}releaseTexture(a,d){let u;if(this.config.reuseTextures&&(u=this.textureLookup.get(a.texture),u)){d&&this.textureLookup.delete(u);const h=this.inUseTextures.get(u);if(h){const p=h.indexOf(a.texture);if(p!==-1){h.splice(p,1);let c=this.idleTextures.get(u);c||(c=[],this.idleTextures.set(u,c)),c.push(a.texture)}}}u&&!d||(s.Logger.verbose("TextureManager",`Deleting texture of size ${a.width}x${a.height}`),this.glContext.deleteTexture(a.texture))}toTensorData(a,d){switch(a){case"int16":return d instanceof Int16Array?d:Int16Array.from(d);case"int32":return d instanceof Int32Array?d:Int32Array.from(d);case"int8":return d instanceof Int8Array?d:Int8Array.from(d);case"uint16":return d instanceof Uint16Array?d:Uint16Array.from(d);case"uint32":return d instanceof Uint32Array?d:Uint32Array.from(d);case"uint8":case"bool":return d instanceof Uint8Array?d:Uint8Array.from(d);case"float32":return d instanceof Float32Array?d:Float32Array.from(d);case"float64":return d instanceof Float64Array?d:Float64Array.from(d);default:throw new Error(`TensorData type ${a} is not supported`)}}toTextureData(a,d){if(d)return d instanceof Float32Array?d:new Float32Array(d)}toEncoderType(a){return"float"}clearActiveTextures(){this.glContext.clearActiveTextures()}}},2039:(m,t)=>{var i;Object.defineProperty(t,"__esModule",{value:!0}),t.TextureType=void 0,(i=t.TextureType||(t.TextureType={}))[i.unpacked=0]="unpacked",i[i.unpackedReversed=1]="unpackedReversed",i[i.packed=2]="packed",i[i.downloadUint8AsFloat=3]="downloadUint8AsFloat",i[i.packedLastDimension=4]="packedLastDimension"},9390:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.getGlChannels=t.getCoordsDataType=t.getSqueezedParams=t.squeezeInputShape=t.generateShaderFuncNameFromInputSamplerNameAtOutCoords=t.generateShaderFuncNameFromInputSamplerName=t.repeatedTry=t.getPackedShape=void 0;const s=i(2517);t.getPackedShape=function(a){const d=a.length;return a.slice(0,d-1).concat(a[d-1]/4)},t.repeatedTry=async function(a,d=h=>0,u){return new Promise((h,p)=>{let c=0;const l=()=>{if(a())return void h();c++;const n=d(c);u!=null&&c>=u?p():setTimeout(l,n)};l()})},t.generateShaderFuncNameFromInputSamplerName=function(a){return(0,s.assert)(a!==void 0&&a.length!==0,()=>"empty string found for sampler name"),"get"+a.charAt(0).toUpperCase()+a.slice(1)},t.generateShaderFuncNameFromInputSamplerNameAtOutCoords=function(a){return(0,s.assert)(a!==void 0&&a.length!==0,()=>"empty string found for sampler name"),"get"+a.charAt(0).toUpperCase()+a.slice(1)+"AtOutCoords"},t.squeezeInputShape=function(a,d){let u=JSON.parse(JSON.stringify(a));return u=d,u},t.getSqueezedParams=function(a,d){return d.map(u=>a[u]).join(", ")},t.getCoordsDataType=function(a){if(a<=1)return"int";if(a===2)return"ivec2";if(a===3)return"ivec3";if(a===4)return"ivec4";if(a===5)return"ivec5";if(a===6)return"ivec6";throw Error(`GPU for rank ${a} is not yet supported`)},t.getGlChannels=function(a=6){return["x","y","z","w","u","v"].slice(0,a)}},7305:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.createNewWebGLContext=t.createWebGLContext=void 0;const s=i(6231),a=i(1713),d={};function u(h){const p=function(){if(typeof document>"u"){if(typeof OffscreenCanvas>"u")throw new TypeError("failed to create canvas: OffscreenCanvas is not supported");return new OffscreenCanvas(1,1)}const n=document.createElement("canvas");return n.width=1,n.height=1,n}();let c;const l={alpha:!1,depth:!1,antialias:!1,stencil:!1,preserveDrawingBuffer:!1,premultipliedAlpha:!1,failIfMajorPerformanceCaveat:!1};if((!h||h==="webgl2")&&(c=p.getContext("webgl2",l),c))try{return new a.WebGLContext(c,2)}catch(n){s.Logger.warning("GlContextFactory",`failed to create WebGLContext using contextId 'webgl2'. Error: ${n}`)}if((!h||h==="webgl")&&(c=p.getContext("webgl",l)||p.getContext("experimental-webgl",l),c))try{return new a.WebGLContext(c,1)}catch(n){s.Logger.warning("GlContextFactory",`failed to create WebGLContext using contextId 'webgl' or 'experimental-webgl'. Error: ${n}`)}throw new Error("WebGL is not supported")}t.createWebGLContext=function h(p){let c;p&&p!=="webgl2"||!("webgl2"in d)?p&&p!=="webgl"||!("webgl"in d)||(c=d.webgl):c=d.webgl2,c=c||u(p),p=p||c.version===1?"webgl":"webgl2";const l=c.gl;return d[p]=c,l.isContextLost()?(delete d[p],h(p)):(l.disable(l.DEPTH_TEST),l.disable(l.STENCIL_TEST),l.disable(l.BLEND),l.disable(l.DITHER),l.disable(l.POLYGON_OFFSET_FILL),l.disable(l.SAMPLE_COVERAGE),l.enable(l.SCISSOR_TEST),l.enable(l.CULL_FACE),l.cullFace(l.BACK),c)},t.createNewWebGLContext=u},1713:function(m,t,i){var s=this&&this.__createBinding||(Object.create?function(l,n,e,r){r===void 0&&(r=e);var o=Object.getOwnPropertyDescriptor(n,e);o&&!("get"in o?!n.__esModule:o.writable||o.configurable)||(o={enumerable:!0,get:function(){return n[e]}}),Object.defineProperty(l,r,o)}:function(l,n,e,r){r===void 0&&(r=e),l[r]=n[e]}),a=this&&this.__setModuleDefault||(Object.create?function(l,n){Object.defineProperty(l,"default",{enumerable:!0,value:n})}:function(l,n){l.default=n}),d=this&&this.__importStar||function(l){if(l&&l.__esModule)return l;var n={};if(l!=null)for(var e in l)e!=="default"&&Object.prototype.hasOwnProperty.call(l,e)&&s(n,l,e);return a(n,l),n};Object.defineProperty(t,"__esModule",{value:!0}),t.WebGLContext=t.linearSearchLastTrue=void 0;const u=i(1670),h=d(i(7769)),p=i(9390);function c(l){let n=0;for(;n<l.length&&l[n]();++n);return n-1}t.linearSearchLastTrue=c,t.WebGLContext=class{constructor(l,n){this.frameBufferBound=!1,this.itemsToPoll=[],this.gl=l,this.version=n,this.getExtensions(),this.vertexbuffer=this.createVertexbuffer(),this.framebuffer=this.createFramebuffer(),this.queryVitalParameters()}allocateTexture(l,n,e,r){const o=this.gl,f=o.createTexture();o.bindTexture(o.TEXTURE_2D,f),o.texParameteri(o.TEXTURE_2D,o.TEXTURE_MIN_FILTER,o.NEAREST),o.texParameteri(o.TEXTURE_2D,o.TEXTURE_MAG_FILTER,o.NEAREST),o.texParameteri(o.TEXTURE_2D,o.TEXTURE_WRAP_S,o.CLAMP_TO_EDGE),o.texParameteri(o.TEXTURE_2D,o.TEXTURE_WRAP_T,o.CLAMP_TO_EDGE);const g=r?e.encode(r,l*n):null;return o.texImage2D(o.TEXTURE_2D,0,e.internalFormat,l,n,0,e.format,e.textureType,g),this.checkError(),f}updateTexture(l,n,e,r,o){const f=this.gl;f.bindTexture(f.TEXTURE_2D,l);const g=r.encode(o,n*e);f.texSubImage2D(f.TEXTURE_2D,0,0,0,n,e,r.format,r.textureType,g),this.checkError()}attachFramebuffer(l,n,e){const r=this.gl;r.bindTexture(r.TEXTURE_2D,l),r.bindFramebuffer(r.FRAMEBUFFER,this.framebuffer),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,l,0),this.checkError(),r.viewport(0,0,n,e),r.scissor(0,0,n,e)}readTexture(l,n,e,r,o,f){const g=this.gl;f||(f=1),this.frameBufferBound||this.attachFramebuffer(l,n,e);const b=this.getEncoder(o,f),_=b.allocate(n*e);return g.bindTexture(g.TEXTURE_2D,l),g.framebufferTexture2D(g.FRAMEBUFFER,g.COLOR_ATTACHMENT0,g.TEXTURE_2D,l,0),g.readPixels(0,0,n,e,g.RGBA,b.textureType,_),this.checkError(),b.decode(_,r)}isFramebufferReady(){return!0}getActiveTexture(){const l=this.gl;return"TEXTURE"+(l.getParameter(this.gl.ACTIVE_TEXTURE)-l.TEXTURE0)}getTextureBinding(){return this.gl.getParameter(this.gl.TEXTURE_BINDING_2D)}getFramebufferBinding(){return this.gl.getParameter(this.gl.FRAMEBUFFER_BINDING)}setVertexAttributes(l,n){const e=this.gl;e.vertexAttribPointer(l,3,e.FLOAT,!1,20,0),e.enableVertexAttribArray(l),n!==-1&&(e.vertexAttribPointer(n,2,e.FLOAT,!1,20,12),e.enableVertexAttribArray(n)),this.checkError()}createProgram(l,n){const e=this.gl,r=e.createProgram();return e.attachShader(r,l),e.attachShader(r,n),e.linkProgram(r),r}compileShader(l,n){const e=this.gl,r=e.createShader(n);if(!r)throw new Error(`createShader() returned null with type ${n}`);if(e.shaderSource(r,l),e.compileShader(r),e.getShaderParameter(r,e.COMPILE_STATUS)===!1)throw new Error(`Failed to compile shader: ${e.getShaderInfoLog(r)}
-Shader source:
-${l}`);return r}deleteShader(l){this.gl.deleteShader(l)}bindTextureToUniform(l,n,e){const r=this.gl;r.activeTexture(r.TEXTURE0+n),this.checkError(),r.bindTexture(r.TEXTURE_2D,l),this.checkError(),r.uniform1i(e,n),this.checkError()}draw(){this.gl.drawArrays(this.gl.TRIANGLE_STRIP,0,4),this.checkError()}checkError(){if(u.env.debug){const l=this.gl,n=l.getError();let e="";switch(n){case l.NO_ERROR:return;case l.INVALID_ENUM:e="INVALID_ENUM";break;case l.INVALID_VALUE:e="INVALID_VALUE";break;case l.INVALID_OPERATION:e="INVALID_OPERATION";break;case l.INVALID_FRAMEBUFFER_OPERATION:e="INVALID_FRAMEBUFFER_OPERATION";break;case l.OUT_OF_MEMORY:e="OUT_OF_MEMORY";break;case l.CONTEXT_LOST_WEBGL:e="CONTEXT_LOST_WEBGL";break;default:e=`Unknown WebGL Error: ${n.toString(16)}`}throw new Error(e)}}deleteTexture(l){this.gl.deleteTexture(l)}deleteProgram(l){this.gl.deleteProgram(l)}getEncoder(l,n,e=0){if(this.version===2)return new h.RedFloat32DataEncoder(this.gl,n);switch(l){case"float":return e===1||this.isRenderFloat32Supported?new h.RGBAFloatDataEncoder(this.gl,n):new h.RGBAFloatDataEncoder(this.gl,n,this.textureHalfFloatExtension.HALF_FLOAT_OES);case"int":throw new Error("not implemented");case"byte":return new h.Uint8DataEncoder(this.gl,n);default:throw new Error(`Invalid dataType: ${l}`)}}clearActiveTextures(){const l=this.gl;for(let n=0;n<this.maxTextureImageUnits;++n)l.activeTexture(l.TEXTURE0+n),l.bindTexture(l.TEXTURE_2D,null)}dispose(){if(this.disposed)return;const l=this.gl;l.bindFramebuffer(l.FRAMEBUFFER,null),l.deleteFramebuffer(this.framebuffer),l.bindBuffer(l.ARRAY_BUFFER,null),l.deleteBuffer(this.vertexbuffer),l.bindBuffer(l.ELEMENT_ARRAY_BUFFER,null),l.finish(),this.disposed=!0}createDefaultGeometry(){return new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0])}createVertexbuffer(){const l=this.gl,n=l.createBuffer();if(!n)throw new Error("createBuffer() returned null");const e=this.createDefaultGeometry();return l.bindBuffer(l.ARRAY_BUFFER,n),l.bufferData(l.ARRAY_BUFFER,e,l.STATIC_DRAW),this.checkError(),n}createFramebuffer(){const l=this.gl.createFramebuffer();if(!l)throw new Error("createFramebuffer returned null");return l}queryVitalParameters(){const l=this.gl;if(this.isFloatTextureAttachableToFrameBuffer=this.checkFloatTextureAttachableToFrameBuffer(),this.isRenderFloat32Supported=this.checkRenderFloat32(),this.isFloat32DownloadSupported=this.checkFloat32Download(),this.version===1&&!this.textureHalfFloatExtension&&!this.isRenderFloat32Supported)throw new Error("both float32 and float16 TextureType are not supported");this.isBlendSupported=!this.isRenderFloat32Supported||this.checkFloat32Blend(),this.maxTextureSize=l.getParameter(l.MAX_TEXTURE_SIZE),this.maxTextureImageUnits=l.getParameter(l.MAX_TEXTURE_IMAGE_UNITS),this.version}getExtensions(){this.version===2?(this.colorBufferFloatExtension=this.gl.getExtension("EXT_color_buffer_float"),this.disjointTimerQueryWebgl2Extension=this.gl.getExtension("EXT_disjoint_timer_query_webgl2")):(this.textureFloatExtension=this.gl.getExtension("OES_texture_float"),this.textureHalfFloatExtension=this.gl.getExtension("OES_texture_half_float"))}checkFloatTextureAttachableToFrameBuffer(){const l=this.gl,n=l.createTexture();l.bindTexture(l.TEXTURE_2D,n);const e=this.version===2?l.RGBA32F:l.RGBA;l.texImage2D(l.TEXTURE_2D,0,e,1,1,0,l.RGBA,l.FLOAT,null);const r=l.createFramebuffer();l.bindFramebuffer(l.FRAMEBUFFER,r),l.framebufferTexture2D(l.FRAMEBUFFER,l.COLOR_ATTACHMENT0,l.TEXTURE_2D,n,0);const o=l.checkFramebufferStatus(l.FRAMEBUFFER)===l.FRAMEBUFFER_COMPLETE;return l.bindTexture(l.TEXTURE_2D,null),l.bindFramebuffer(l.FRAMEBUFFER,null),l.deleteTexture(n),l.deleteFramebuffer(r),o}checkRenderFloat32(){if(this.version===2){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension)return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Download(){if(this.version===2){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension||!this.gl.getExtension("WEBGL_color_buffer_float"))return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Blend(){const l=this.gl;let n,e,r,o,f;try{n=l.createTexture(),e=l.createFramebuffer(),l.bindTexture(l.TEXTURE_2D,n);const g=this.version===2?l.RGBA32F:l.RGBA;return l.texImage2D(l.TEXTURE_2D,0,g,1,1,0,l.RGBA,l.FLOAT,null),l.bindFramebuffer(l.FRAMEBUFFER,e),l.framebufferTexture2D(l.FRAMEBUFFER,l.COLOR_ATTACHMENT0,l.TEXTURE_2D,n,0),l.enable(l.BLEND),r=l.createShader(l.VERTEX_SHADER),!!r&&(l.shaderSource(r,"void main(){}"),l.compileShader(r),o=l.createShader(l.FRAGMENT_SHADER),!!o&&(l.shaderSource(o,"precision highp float;void main(){gl_FragColor=vec4(0.5);}"),l.compileShader(o),f=l.createProgram(),!!f&&(l.attachShader(f,r),l.attachShader(f,o),l.linkProgram(f),l.useProgram(f),l.drawArrays(l.POINTS,0,1),l.getError()===l.NO_ERROR)))}finally{l.disable(l.BLEND),f&&l.deleteProgram(f),r&&l.deleteShader(r),o&&l.deleteShader(o),e&&(l.bindFramebuffer(l.FRAMEBUFFER,null),l.deleteFramebuffer(e)),n&&(l.bindTexture(l.TEXTURE_2D,null),l.deleteTexture(n))}}beginTimer(){if(this.version===2&&this.disjointTimerQueryWebgl2Extension){const l=this.gl,n=this.disjointTimerQueryWebgl2Extension,e=l.createQuery();return l.beginQuery(n.TIME_ELAPSED_EXT,e),e}throw new Error("WebGL1 profiling currently not supported.")}endTimer(){if(this.version!==2||!this.disjointTimerQueryWebgl2Extension)throw new Error("WebGL1 profiling currently not supported");{const l=this.gl,n=this.disjointTimerQueryWebgl2Extension;l.endQuery(n.TIME_ELAPSED_EXT)}}isTimerResultAvailable(l){let n=!1,e=!1;if(this.version!==2||!this.disjointTimerQueryWebgl2Extension)throw new Error("WebGL1 profiling currently not supported");{const r=this.gl,o=this.disjointTimerQueryWebgl2Extension;n=r.getQueryParameter(l,r.QUERY_RESULT_AVAILABLE),e=r.getParameter(o.GPU_DISJOINT_EXT)}return n&&!e}getTimerResult(l){let n=0;if(this.version!==2)throw new Error("WebGL1 profiling currently not supported");{const e=this.gl;n=e.getQueryParameter(l,e.QUERY_RESULT),e.deleteQuery(l)}return n/1e6}async waitForQueryAndGetTime(l){return await(0,p.repeatedTry)(()=>this.isTimerResultAvailable(l)),this.getTimerResult(l)}async createAndWaitForFence(){const l=this.createFence(this.gl);return this.pollFence(l)}createFence(l){let n;const e=l,r=e.fenceSync(e.SYNC_GPU_COMMANDS_COMPLETE,0);return l.flush(),n=r===null?()=>!0:()=>{const o=e.clientWaitSync(r,0,0);return o===e.ALREADY_SIGNALED||o===e.CONDITION_SATISFIED},{query:r,isFencePassed:n}}async pollFence(l){return new Promise(n=>{this.addItemToPoll(()=>l.isFencePassed(),()=>n())})}pollItems(){const l=c(this.itemsToPoll.map(n=>n.isDoneFn));for(let n=0;n<=l;++n){const{resolveFn:e}=this.itemsToPoll[n];e()}this.itemsToPoll=this.itemsToPoll.slice(l+1)}async addItemToPoll(l,n){this.itemsToPoll.push({isDoneFn:l,resolveFn:n}),this.itemsToPoll.length>1||await(0,p.repeatedTry)(()=>(this.pollItems(),this.itemsToPoll.length===0))}}},1036:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.ExecutionPlan=void 0;const s=i(6231);class a{constructor(u,h){this.op=u,this.node=h}}t.ExecutionPlan=class{constructor(d,u,h){this.graph=d,this.profiler=h,this.initialize(u)}initialize(d){this.profiler.event("session","ExecutionPlan.initialize",()=>{const u=this.graph.getNodes();if(u.length!==d.length)throw new Error("The size of nodes and OPs do not match.");this._ops=d.map((h,p)=>new a(h,u[p])),this.reset(),this._starter=[],this._ops.forEach((h,p)=>{let c=!0;for(const l of h.node.inputs)if(!this._values[l]&&this.graph.getInputIndices().indexOf(l)===-1){c=!1;break}c&&this._starter.push(p)})})}reset(){this._values=this.graph.getValues().map(d=>d.tensor)}async execute(d,u){return this.profiler.event("session","ExecutionPlan.execute",async()=>{this.reset();const h=d.createInferenceHandler(),p=this.graph.getInputIndices();if(u.length!==p.length)throw new Error(`number of input tensors don't match the number of inputs to the model: actual: ${u.length} expected: ${p.length}`);u.forEach((o,f)=>{const g=p[f];this._values[g]=o});const c=this._starter.slice(0),l=this.graph.getValues(),n=this.graph.getNodes();let e=0;for(;e<c.length;){const o=c[e++],f=this._ops[o],g=f.node.inputs.map(w=>this._values[w]);if(g.indexOf(void 0)!==-1)throw new Error(`unresolved input detected: op: ${f.node}`);const b=g;s.Logger.verbose("ExecPlan",`Runing op:${f.node.name} (${b.map((w,v)=>`'${f.node.inputs[v]}': ${w.type}[${w.dims.join(",")}]`).join(", ")})`);const _=await this.profiler.event("node",f.node.name,async()=>f.op.impl(h,b,f.op.context));if(_.length!==f.node.outputs.length)throw new Error("the size of output does not match model definition.");_.forEach((w,v)=>{const S=f.node.outputs[v];if(this._values[S])throw new Error(`output [${S}] already has value: op:${f.node.name}`);this._values[S]=w});const y=new Set;_.forEach((w,v)=>{const S=f.node.outputs[v];for(const A of l[S].to){const I=n[A];let x=!0;for(const E of I.inputs)if(!this._values[E]){x=!1;break}x&&y.add(A)}}),c.push(...y)}const r=[];for(let o=0;o<this.graph.getOutputIndices().length;o++){const f=this.graph.getOutputIndices()[o],g=this._values[f];if(g===void 0)throw new Error(`required output [${f}] does not have value`);f===0?await g.getData():g.data,r.push(g)}return s.Logger.verbose("ExecPlan","disposing of inferenceHandler"),h.dispose(),r})}}},7070:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.Graph=void 0;const s=i(1446),a=i(7778),d=i(9395),u=i(9162),h=i(2517);var p=d.onnxruntime.experimental.fbs;t.Graph={from:(e,r)=>new n(e,r)};class c{constructor(r){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,r&&(this.type=h.ProtoUtil.tensorValueTypeFromProto(r.type.tensorType))}get from(){return this._from}get to(){return this._to}}class l{constructor(r,o){r instanceof s.onnx.NodeProto?(this.name=r.name,this.opType=r.opType,this.attributes=new a.Attribute(r.attribute)):r instanceof p.Node&&(this.name=o??r.name(),this.opType=r.opType(),this.attributes=new a.Attribute(h.ProtoUtil.tensorAttributesFromORTFormat(r))),this.inputs=[],this.outputs=[],this.executeNode=!0}}class n{constructor(r,o){if(!r)throw new TypeError("graph is empty");this.buildGraph(r),this.transformGraph(o),this.checkIsAcyclic()}getInputIndices(){return this._allInputIndices}getInputNames(){return this._allInputNames}getOutputIndices(){return this._allOutputIndices}getOutputNames(){return this._allOutputNames}getValues(){return this._allData}getNodes(){return this._nodes}buildGraph(r){if(r instanceof s.onnx.GraphProto)this.buildGraphFromOnnxFormat(r);else{if(!(r instanceof p.Graph))throw new TypeError("Graph type is not supported.");this.buildGraphFromOrtFormat(r)}}buildGraphFromOnnxFormat(r){const o=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const f=new Map;if(!r.input)throw new Error("missing information in graph: input");const g=[];for(const b of r.input){if(o.has(b.name))throw new Error(`duplicated input name: ${b.name}`);const _=this._allData.push(new c(b))-1;o.set(b.name,_),g.push(b.name)}if(!r.initializer)throw new Error("missing information in graph: initializer");for(const b of r.initializer){let _=o.get(b.name);if(_===void 0){const y=new c;y.type={shape:{dims:h.ProtoUtil.tensorDimsFromProto(b.dims)},tensorType:h.ProtoUtil.tensorDataTypeFromProto(b.dataType)},_=this._allData.push(y)-1,o.set(b.name,_)}this._allData[_]._from=-1,this._allData[_].tensor=u.Tensor.fromProto(b)}for(let b=0;b<this._allData.length;b++)this._allData[b].tensor||(this._allInputIndices.push(b),this._allInputNames.push(g[b]));if(!r.output)throw new Error("missing information in graph: output");for(const b of r.output){if(o.has(b.name))throw new Error(`duplicated output name: ${b.name}`);const _=this._allData.push(new c(b))-1;o.set(b.name,_),this._allOutputIndices.push(_),this._allOutputNames.push(b.name)}if(!r.node)throw new Error("missing information in graph: node");for(const b of r.node){if(!b.name)for(let y=0;;y++){const w=`unnamed_${b.opType}_${y}`;if(!f.has(w)){b.name=w;break}}if(f.has(b.name))throw new Error(`duplicated node name: ${b.name}`);const _=this._nodes.push(new l(b))-1;f.set(b.name,_)}for(let b=0;b<this._nodes.length;b++){const _=this._nodes[b],y=r.node[b];if(!y.output)throw new Error(`missing output for node: ${y.name}`);for(const w of y.output){let v=o.get(w);if(v===void 0&&(v=this._allData.push(new c)-1,o.set(w,v)),_.outputs.push(v),this._allData[v]._from!==void 0)throw new Error(`multiple nodes output to one data value: ${v}`);if(this._allData[v]._from=b,y.opType==="Constant"){if(!y.attribute||y.attribute.length!==1||!y.attribute[0].t)throw new Error("missing attributes or missing tensor value in attributes for this Constant operator");if(!y.output||y.output.length!==1)throw new Error("missing output or incorrect number of outputs for this Constant operator");_.outputs.pop(),_.executeNode=!1,this._allData[v]._from=-1,this._allData[v].tensor=u.Tensor.fromProto(y.attribute[0].t)}}}for(let b=0;b<this._nodes.length;b++){const _=this._nodes[b],y=r.node[b];if(!y.input)throw new Error(`missing input for node: ${y.name}`);for(const w of y.input){const v=o.get(w);if(v===void 0){if(w===""&&y.input.length===3&&y.opType==="Resize")continue;throw new Error(`unrecognized input '${w}' for node: ${y.name}`)}_.inputs.push(v),this._allData[v]._to.push(b)}}return!0}buildGraphFromOrtFormat(r){var o,f,g;const b=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const _=new Map,y=[];for(let w=0;w<r.inputsLength();w++){const v=r.inputs(w);if(b.has(v))throw new Error(`duplicated input name: ${v}`);for(let S=0;S<r.nodeArgsLength();S++)if(((o=r.nodeArgs(S))===null||o===void 0?void 0:o.name())===v){const A=new c;if(((g=(f=r.nodeArgs(S))===null||f===void 0?void 0:f.type())===null||g===void 0?void 0:g.valueType())!==p.TypeInfoValue.tensor_type)throw new Error("Unexpected value type for the nodeArg.");const I=r.nodeArgs(S).type().value(new p.TensorTypeAndShape),x=h.ProtoUtil.tensorDataTypeFromProto(I.elemType()),E=I.shape(),F=[];for(let $=0;$<E.dimLength();$++)F.push(h.LongUtil.longToNumber(E.dim($).value().dimValue()));A.type={shape:{dims:F},tensorType:x};const R=this._allData.push(A)-1;b.set(v,R),y.push(v)}}for(let w=0;w<r.initializersLength();w++){const v=r.initializers(w);let S=b.get(v.name());if(S===void 0){const A=new c,I=h.ProtoUtil.tensorDimsFromORTFormat(v),x=h.ProtoUtil.tensorDataTypeFromProto(v.dataType());A.type={shape:{dims:I},tensorType:x},S=this._allData.push(A)-1,b.set(v.name(),S)}this._allData[S]._from=-1,this._allData[S].tensor=u.Tensor.fromOrtTensor(v)}for(let w=0;w<this._allData.length;w++)this._allData[w].tensor||(this._allInputIndices.push(w),this._allInputNames.push(y[w]));for(let w=0;w<r.outputsLength();w++){const v=r.outputs(w);if(b.has(v))throw new Error(`duplicated output name: ${v}`);const S=this._allData.push(new c)-1;b.set(v,S),this._allOutputIndices.push(S),this._allOutputNames.push(v)}if(!r.nodes)throw new Error("missing information in graph: node");for(let w=0;w<r.nodesLength();w++){const v=r.nodes(w);let S=v.name();if(!S)for(let I=0;S=`unnamed_${v.opType()}_${I}`,_.has(S);I++);if(_.has(S))throw new Error(`duplicated node name: ${S}`);const A=this._nodes.push(new l(v,S))-1;_.set(S,A)}for(let w=0;w<this._nodes.length;w++){const v=this._nodes[w],S=r.nodes(w);if(S==null)throw new Error(`No node exists at index ${w}`);if((S==null?void 0:S.outputsLength())===0)throw new Error(`missing output for node: ${S.name}`);for(let A=0;A<(S==null?void 0:S.outputsLength());A++){const I=S==null?void 0:S.outputs(A);let x=b.get(I);if(x===void 0&&(x=this._allData.push(new c)-1,b.set(I,x)),v.outputs.push(x),this._allData[x]._from!==void 0)throw new Error(`multiple nodes output to one data value: 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c{constructor(){this.bb=null,this.bb_pos=0}__init(n,e){return this.bb_pos=n,this.bb=e,this}static getRootAsModel(n,e){return(e||new c).__init(n.readInt32(n.position())+n.position(),n)}static getSizePrefixedRootAsModel(n,e){return n.setPosition(n.position()+s.flatbuffers.SIZE_PREFIX_LENGTH),(e||new c).__init(n.readInt32(n.position())+n.position(),n)}irVersion(){let n=this.bb.__offset(this.bb_pos,4);return n?this.bb.readInt64(this.bb_pos+n):this.bb.createLong(0,0)}opsetImport(n,e){let r=this.bb.__offset(this.bb_pos,6);return r?(e||new u.experimental.fbs.OperatorSetId).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+r)+4*n),this.bb):null}opsetImportLength(){let n=this.bb.__offset(this.bb_pos,6);return n?this.bb.__vector_len(this.bb_pos+n):0}producerName(n){let e=this.bb.__offset(this.bb_pos,8);return e?this.bb.__string(this.bb_pos+e,n):null}producerVersion(n){let e=this.bb.__offset(this.bb_pos,10);return e?this.bb.__string(this.bb_pos+e,n):null}domain(n){let e=this.bb.__offset(this.bb_pos,12);return e?this.bb.__string(this.bb_pos+e,n):null}modelVersion(){let n=this.bb.__offset(this.bb_pos,14);return n?this.bb.readInt64(this.bb_pos+n):this.bb.createLong(0,0)}docString(n){let e=this.bb.__offset(this.bb_pos,16);return e?this.bb.__string(this.bb_pos+e,n):null}graph(n){let e=this.bb.__offset(this.bb_pos,18);return e?(n||new u.experimental.fbs.Graph).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}graphDocString(n){let e=this.bb.__offset(this.bb_pos,20);return e?this.bb.__string(this.bb_pos+e,n):null}static startModel(n){n.startObject(9)}static addIrVersion(n,e){n.addFieldInt64(0,e,n.createLong(0,0))}static addOpsetImport(n,e){n.addFieldOffset(1,e,0)}static createOpsetImportVector(n,e){n.startVector(4,e.length,4);for(let r=e.length-1;r>=0;r--)n.addOffset(e[r]);return n.endVector()}static startOpsetImportVector(n,e){n.startVector(4,e,4)}static addProducerName(n,e){n.addFieldOffset(2,e,0)}static addProducerVersion(n,e){n.addFieldOffset(3,e,0)}static addDomain(n,e){n.addFieldOffset(4,e,0)}static addModelVersion(n,e){n.addFieldInt64(5,e,n.createLong(0,0))}static addDocString(n,e){n.addFieldOffset(6,e,0)}static addGraph(n,e){n.addFieldOffset(7,e,0)}static addGraphDocString(n,e){n.addFieldOffset(8,e,0)}static endModel(n){return n.endObject()}static createModel(n,e,r,o,f,g,b,_,y,w){return c.startModel(n),c.addIrVersion(n,e),c.addOpsetImport(n,r),c.addProducerName(n,o),c.addProducerVersion(n,f),c.addDomain(n,g),c.addModelVersion(n,b),c.addDocString(n,_),c.addGraph(n,y),c.addGraphDocString(n,w),c.endModel(n)}}p.Model=c})(h.fbs||(h.fbs={}))})(u.experimental||(u.experimental={}))}(t.onnxruntime||(t.onnxruntime={})),function(u){(function(h){(function(p){class c{constructor(){this.bb=null,this.bb_pos=0}__init(n,e){return this.bb_pos=n,this.bb=e,this}static getRootAsKernelCreateInfos(n,e){return(e||new c).__init(n.readInt32(n.position())+n.position(),n)}static 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createNodeIndicesVector(n,e){n.startVector(4,e.length,4);for(let r=e.length-1;r>=0;r--)n.addInt32(e[r]);return n.endVector()}static startNodeIndicesVector(n,e){n.startVector(4,e,4)}static addKernelDefHashes(n,e){n.addFieldOffset(1,e,0)}static createKernelDefHashesVector(n,e){n.startVector(8,e.length,8);for(let r=e.length-1;r>=0;r--)n.addInt64(e[r]);return n.endVector()}static startKernelDefHashesVector(n,e){n.startVector(8,e,8)}static endKernelCreateInfos(n){return n.endObject()}static createKernelCreateInfos(n,e,r){return c.startKernelCreateInfos(n),c.addNodeIndices(n,e),c.addKernelDefHashes(n,r),c.endKernelCreateInfos(n)}}p.KernelCreateInfos=c})(h.fbs||(h.fbs={}))})(u.experimental||(u.experimental={}))}(t.onnxruntime||(t.onnxruntime={})),function(u){(function(h){(function(p){class c{constructor(){this.bb=null,this.bb_pos=0}__init(n,e){return this.bb_pos=n,this.bb=e,this}static getRootAsSubGraphSessionState(n,e){return(e||new c).__init(n.readInt32(n.position())+n.position(),n)}static getSizePrefixedRootAsSubGraphSessionState(n,e){return n.setPosition(n.position()+s.flatbuffers.SIZE_PREFIX_LENGTH),(e||new c).__init(n.readInt32(n.position())+n.position(),n)}graphId(n){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.__string(this.bb_pos+e,n):null}sessionState(n){let e=this.bb.__offset(this.bb_pos,6);return e?(n||new u.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}static startSubGraphSessionState(n){n.startObject(2)}static addGraphId(n,e){n.addFieldOffset(0,e,0)}static addSessionState(n,e){n.addFieldOffset(1,e,0)}static endSubGraphSessionState(n){let e=n.endObject();return n.requiredField(e,4),e}static createSubGraphSessionState(n,e,r){return c.startSubGraphSessionState(n),c.addGraphId(n,e),c.addSessionState(n,r),c.endSubGraphSessionState(n)}}p.SubGraphSessionState=c})(h.fbs||(h.fbs={}))})(u.experimental||(u.experimental={}))}(t.onnxruntime||(t.onnxruntime={})),function(u){(function(h){(function(p){class c{constructor(){this.bb=null,this.bb_pos=0}__init(n,e){return this.bb_pos=n,this.bb=e,this}static getRootAsSessionState(n,e){return(e||new c).__init(n.readInt32(n.position())+n.position(),n)}static getSizePrefixedRootAsSessionState(n,e){return n.setPosition(n.position()+s.flatbuffers.SIZE_PREFIX_LENGTH),(e||new c).__init(n.readInt32(n.position())+n.position(),n)}kernels(n){let e=this.bb.__offset(this.bb_pos,4);return e?(n||new u.experimental.fbs.KernelCreateInfos).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}subGraphSessionStates(n,e){let r=this.bb.__offset(this.bb_pos,6);return r?(e||new u.experimental.fbs.SubGraphSessionState).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+r)+4*n),this.bb):null}subGraphSessionStatesLength(){let n=this.bb.__offset(this.bb_pos,6);return n?this.bb.__vector_len(this.bb_pos+n):0}static startSessionState(n){n.startObject(2)}static addKernels(n,e){n.addFieldOffset(0,e,0)}static addSubGraphSessionStates(n,e){n.addFieldOffset(1,e,0)}static createSubGraphSessionStatesVector(n,e){n.startVector(4,e.length,4);for(let r=e.length-1;r>=0;r--)n.addOffset(e[r]);return n.endVector()}static startSubGraphSessionStatesVector(n,e){n.startVector(4,e,4)}static endSessionState(n){return n.endObject()}static createSessionState(n,e,r){return c.startSessionState(n),c.addKernels(n,e),c.addSubGraphSessionStates(n,r),c.endSessionState(n)}}p.SessionState=c})(h.fbs||(h.fbs={}))})(u.experimental||(u.experimental={}))}(t.onnxruntime||(t.onnxruntime={})),function(u){(function(h){(function(p){class c{constructor(){this.bb=null,this.bb_pos=0}__init(n,e){return this.bb_pos=n,this.bb=e,this}static getRootAsInferenceSession(n,e){return(e||new c).__init(n.readInt32(n.position())+n.position(),n)}static getSizePrefixedRootAsInferenceSession(n,e){return n.setPosition(n.position()+s.flatbuffers.SIZE_PREFIX_LENGTH),(e||new c).__init(n.readInt32(n.position())+n.position(),n)}static bufferHasIdentifier(n){return n.__has_identifier("ORTM")}ortVersion(n){let e=this.bb.__offset(this.bb_pos,4);return e?this.bb.__string(this.bb_pos+e,n):null}model(n){let e=this.bb.__offset(this.bb_pos,6);return e?(n||new u.experimental.fbs.Model).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}sessionState(n){let e=this.bb.__offset(this.bb_pos,8);return e?(n||new u.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}static startInferenceSession(n){n.startObject(3)}static addOrtVersion(n,e){n.addFieldOffset(0,e,0)}static addModel(n,e){n.addFieldOffset(1,e,0)}static addSessionState(n,e){n.addFieldOffset(2,e,0)}static endInferenceSession(n){return n.endObject()}static finishInferenceSessionBuffer(n,e){n.finish(e,"ORTM")}static finishSizePrefixedInferenceSessionBuffer(n,e){n.finish(e,"ORTM",!0)}static createInferenceSession(n,e,r,o){return c.startInferenceSession(n),c.addOrtVersion(n,e),c.addModel(n,r),c.addSessionState(n,o),c.endInferenceSession(n)}}p.InferenceSession=c})(h.fbs||(h.fbs={}))})(u.experimental||(u.experimental={}))}(t.onnxruntime||(t.onnxruntime={}))},7448:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.OnnxjsSessionHandler=void 0;const s=i(1670),a=i(9162);t.OnnxjsSessionHandler=class{constructor(d){this.session=d,this.inputNames=this.session.inputNames,this.outputNames=this.session.outputNames}async dispose(){}async run(d,u,h){const p=new Map;for(const n in d)if(Object.hasOwnProperty.call(d,n)){const e=d[n];p.set(n,new a.Tensor(e.dims,e.type,void 0,void 0,e.data))}const c=await this.session.run(p),l={};return c.forEach((n,e)=>{l[e]=new s.Tensor(n.type,n.data,n.dims)}),l}startProfiling(){this.session.startProfiling()}endProfiling(){this.session.endProfiling()}}},6919:(m,t,i)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.Session=void 0;const s=i(7067),a=i(1296),d=i(7091),u=i(1036),h=i(6231),p=i(2644);t.Session=class{constructor(c={}){this._initialized=!1,this.backendHint=c.backendHint,this.profiler=h.Profiler.create(c.profiler),this.context={profiler:this.profiler,graphInputTypes:[],graphInputDims:[]}}get inputNames(){return this._model.graph.getInputNames()}get outputNames(){return this._model.graph.getOutputNames()}startProfiling(){this.profiler.start()}endProfiling(){this.profiler.stop()}async loadModel(c,l,n){await this.profiler.event("session","Session.loadModel",async()=>{const e=await(0,d.resolveBackend)(this.backendHint);if(this.sessionHandler=e.createSessionHandler(this.context),this._model=new p.Model,typeof c=="string"){const r=c.endsWith(".ort");if(typeof fetch>"u"){const o=await(0,a.promisify)(s.readFile)(c);this.initialize(o,r)}else{const o=await fetch(c),f=await o.arrayBuffer();this.initialize(new Uint8Array(f),r)}}else if(ArrayBuffer.isView(c))this.initialize(c);else{const r=new Uint8Array(c,l||0,n||c.byteLength);this.initialize(r)}})}initialize(c,l){if(this._initialized)throw new Error("already initialized");this.profiler.event("session","Session.initialize",()=>{const n=this.sessionHandler.transformGraph?this.sessionHandler:void 0;this._model.load(c,n,l),this.sessionHandler.onGraphInitialized&&this.sessionHandler.onGraphInitialized(this._model.graph),this.initializeOps(this._model.graph),this._executionPlan=new u.ExecutionPlan(this._model.graph,this._ops,this.profiler)}),this._initialized=!0}async run(c){if(!this._initialized)throw new Error("session not initialized yet");return this.profiler.event("session","Session.run",async()=>{const l=this.normalizeAndValidateInputs(c),n=await this._executionPlan.execute(this.sessionHandler,l);return this.createOutput(n)})}normalizeAndValidateInputs(c){const l=this._model.graph.getInputNames();if(Array.isArray(c)){if(c.length!==l.length)throw new Error(`incorrect input array length: expected ${l.length} but got ${c.length}`)}else{if(c.size!==l.length)throw new Error(`incorrect input map size: expected ${l.length} but got ${c.size}`);const n=new Array(c.size);let e=0;for(let r=0;r<l.length;++r){const o=c.get(l[r]);if(!o)throw new Error(`missing input tensor for: '${name}'`);n[e++]=o}c=n}if(this.context.graphInputTypes&&this.context.graphInputTypes.length!==0&&this.context.graphInputDims&&this.context.graphInputDims.length!==0)this.validateInputTensorDims(this.context.graphInputDims,c,!1);else{const n=this._model.graph.getInputIndices(),e=this._model.graph.getValues(),r=new Array(n.length);for(let o=0;o<n.length;++o){const f=e[n[o]];r[o]=f.type.shape.dims,this.context.graphInputTypes.push(f.type.tensorType),this.context.graphInputDims.push(c[o].dims)}this.validateInputTensorDims(r,c,!0)}return this.validateInputTensorTypes(this.context.graphInputTypes,c),c}validateInputTensorTypes(c,l){for(let n=0;n<l.length;n++){const e=c[n],r=l[n].type;if(e!==r)throw new Error(`input tensor[${n}] check failed: expected type '${e}' but got ${r}`)}}validateInputTensorDims(c,l,n){for(let e=0;e<l.length;e++){const r=c[e],o=l[e].dims;if(!this.compareTensorDims(r,o,n))throw new Error(`input tensor[${e}] check failed: expected shape '[${r.join(",")}]' but got [${o.join(",")}]`)}}compareTensorDims(c,l,n){if(c.length!==l.length)return!1;for(let e=0;e<c.length;++e)if(c[e]!==l[e]&&(!n||c[e]!==0))return!1;return!0}createOutput(c){const l=this._model.graph.getOutputNames();if(c.length!==l.length)throw new Error("expected number of outputs do not match number of generated outputs");const n=new Map;for(let e=0;e<l.length;++e)n.set(l[e],c[e]);return n}initializeOps(c){const l=c.getNodes();this._ops=new Array(l.length);for(let n=0;n<l.length;n++)this._ops[n]=this.sessionHandler.resolve(l[n],this._model.opsets,c)}}},9162:function(m,t,i){var s=this&&this.__importDefault||function(f){return f&&f.__esModule?f:{default:f}};Object.defineProperty(t,"__esModule",{value:!0}),t.Tensor=void 0;const a=i(3442),d=s(i(3720)),u=i(1446),h=i(9395),p=i(2517);var c=h.onnxruntime.experimental.fbs;class l{get data(){if(this.cache===void 0){const g=this.dataProvider(this.dataId);if(g.length!==this.size)throw new Error("Length of data provided by the Data Provider is inconsistent with the dims of this Tensor.");this.cache=g}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(g){return this.data[p.ShapeUtil.indicesToOffset(g,this.strides)]}set(g,b){this.data[p.ShapeUtil.indicesToOffset(g,this.strides)]=b}async getData(){return this.cache===void 0&&(this.cache=await this.asyncDataProvider(this.dataId)),this.cache}get strides(){return this._strides||(this._strides=p.ShapeUtil.computeStrides(this.dims)),this._strides}constructor(g,b,_,y,w,v=a.Guid.create()){this.dims=g,this.type=b,this.dataProvider=_,this.asyncDataProvider=y,this.cache=w,this.dataId=v,this.size=p.ShapeUtil.validateDimsAndCalcSize(g);const S=this.size,A=_===void 0&&y===void 0&&w===void 0;if(w!==void 0&&w.length!==S)throw new RangeError("Input dims doesn't match data length.");if(b==="string"){if(!(w===void 0||Array.isArray(w)&&w.every(I=>typeof I=="string")))throw new TypeError("cache should be a string array");A&&(this.cache=new Array(S))}else{if(w!==void 0){const I=e(b);if(!(w instanceof I))throw new TypeError(`cache should be type ${I.name}`)}if(A){const I=new ArrayBuffer(S*function(x){switch(x){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 ${x}`)}}(b));this.cache=function(x,E){return new(e(E))(x)}(I,b)}}}static fromProto(g){if(!g)throw new Error("cannot construct Value from an empty tensor");const b=p.ProtoUtil.tensorDataTypeFromProto(g.dataType),_=p.ProtoUtil.tensorDimsFromProto(g.dims),y=new l(_,b);if(b==="string")g.stringData.forEach((w,v)=>{y.data[v]=(0,p.decodeUtf8String)(w)});else if(g.rawData&&typeof g.rawData.byteLength=="number"&&g.rawData.byteLength>0){const w=y.data,v=new DataView(g.rawData.buffer,g.rawData.byteOffset,g.rawData.byteLength),S=n(g.dataType),A=g.rawData.byteLength/S;if(g.rawData.byteLength%S!=0)throw new Error("invalid buffer length");if(w.length!==A)throw new Error("buffer length mismatch");for(let I=0;I<A;I++){const x=o(v,g.dataType,I*S);w[I]=x}}else{let w;switch(g.dataType){case u.onnx.TensorProto.DataType.FLOAT:w=g.floatData;break;case u.onnx.TensorProto.DataType.INT32:case u.onnx.TensorProto.DataType.INT16:case u.onnx.TensorProto.DataType.UINT16:case u.onnx.TensorProto.DataType.INT8:case u.onnx.TensorProto.DataType.UINT8:case u.onnx.TensorProto.DataType.BOOL:w=g.int32Data;break;case u.onnx.TensorProto.DataType.INT64:w=g.int64Data;break;case u.onnx.TensorProto.DataType.DOUBLE:w=g.doubleData;break;case u.onnx.TensorProto.DataType.UINT32:case u.onnx.TensorProto.DataType.UINT64:w=g.uint64Data;break;default:throw new Error("unspecific error")}if(w==null)throw new Error("failed to populate data from a tensorproto value");const v=y.data;if(v.length!==w.length)throw new Error("array length mismatch");for(let S=0;S<w.length;S++){const A=w[S];d.default.isLong(A)?v[S]=r(A,g.dataType):v[S]=A}}return y}static fromData(g,b,_){return new l(b,_,void 0,void 0,g)}static fromOrtTensor(g){if(!g)throw new Error("cannot construct Value from an empty tensor");const b=p.ProtoUtil.tensorDimsFromORTFormat(g),_=p.ProtoUtil.tensorDataTypeFromProto(g.dataType()),y=new l(b,_);if(_==="string")for(let w=0;w<g.stringDataLength();w++)y.data[w]=g.stringData(w);else if(g.rawDataArray()&&typeof g.rawDataLength()=="number"&&g.rawDataLength()>0){const w=y.data,v=new DataView(g.rawDataArray().buffer,g.rawDataArray().byteOffset,g.rawDataLength()),S=n(g.dataType()),A=g.rawDataLength()/S;if(g.rawDataLength()%S!=0)throw new Error("invalid buffer length");if(w.length!==A)throw new Error("buffer length mismatch");for(let I=0;I<A;I++){const x=o(v,g.dataType(),I*S);w[I]=x}}return y}}function n(f){switch(f){case u.onnx.TensorProto.DataType.UINT8:case u.onnx.TensorProto.DataType.INT8:case u.onnx.TensorProto.DataType.BOOL:return 1;case u.onnx.TensorProto.DataType.UINT16:case u.onnx.TensorProto.DataType.INT16:return 2;case u.onnx.TensorProto.DataType.FLOAT:case u.onnx.TensorProto.DataType.INT32:case u.onnx.TensorProto.DataType.UINT32:return 4;case u.onnx.TensorProto.DataType.INT64:case u.onnx.TensorProto.DataType.DOUBLE:case u.onnx.TensorProto.DataType.UINT64:return 8;default:throw new Error(`cannot calculate sizeof() on type ${u.onnx.TensorProto.DataType[f]}`)}}function e(f){switch(f){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"float32":return Float32Array;case"float64":return Float64Array;default:throw new Error("unspecified error")}}function r(f,g){if(g===u.onnx.TensorProto.DataType.INT64||g===c.TensorDataType.INT64){if(f.greaterThanOrEqual(2147483648)||f.lessThan(-2147483648))throw new TypeError("int64 is not supported")}else{if(g!==u.onnx.TensorProto.DataType.UINT32&&g!==c.TensorDataType.UINT32&&g!==u.onnx.TensorProto.DataType.UINT64&&g!==c.TensorDataType.UINT64)throw new TypeError(`not a LONG type: ${u.onnx.TensorProto.DataType[g]}`);if(f.greaterThanOrEqual(4294967296)||f.lessThan(0))throw new TypeError("uint64 is not supported")}return f.toNumber()}function o(f,g,b){switch(g){case u.onnx.TensorProto.DataType.BOOL:case u.onnx.TensorProto.DataType.UINT8:return f.getUint8(b);case u.onnx.TensorProto.DataType.INT8:return f.getInt8(b);case u.onnx.TensorProto.DataType.UINT16:return f.getUint16(b,!0);case u.onnx.TensorProto.DataType.INT16:return f.getInt16(b,!0);case u.onnx.TensorProto.DataType.FLOAT:return f.getFloat32(b,!0);case u.onnx.TensorProto.DataType.INT32:return f.getInt32(b,!0);case u.onnx.TensorProto.DataType.UINT32:return f.getUint32(b,!0);case u.onnx.TensorProto.DataType.INT64:return r(d.default.fromBits(f.getUint32(b,!0),f.getUint32(b+4,!0),!1),g);case u.onnx.TensorProto.DataType.DOUBLE:return f.getFloat64(b,!0);case u.onnx.TensorProto.DataType.UINT64:return r(d.default.fromBits(f.getUint32(b,!0),f.getUint32(b+4,!0),!0),g);default:throw new Error(`cannot read from DataView for type ${u.onnx.TensorProto.DataType[g]}`)}}t.Tensor=l},2517:function(m,t,i){var s=this&&this.__importDefault||function(g){return g&&g.__esModule?g:{default:g}};Object.defineProperty(t,"__esModule",{value:!0}),t.decodeUtf8String=t.MAX_CLIP=t.MIN_CLIP=t.PoolConvUtil=t.ReduceUtil=t.SplitUtil=t.MathUtil=t.ShapeUtil=t.LongUtil=t.ProtoUtil=t.GemmUtil=t.arrayCopyHelper=t.BroadcastUtil=t.MatMulUtil=t.ArrayUtil=t.assert=t.checkInputsShape=void 0;const a=i(5686),d=s(i(3720)),u=i(1446),h=i(9162);t.checkInputsShape=function(g,...b){if(!g||g.length!==b.length)return!1;for(let _=0;_<g.length;_++)if(!g[_].dims||g[_].dims.length!==b[_])return!1;return!0},t.assert=function(g,b){if(!g)throw new Error(typeof b=="string"?b:b())},t.ArrayUtil=class{static arraysEqual(g,b){if(g.length!==b.length)return!1;for(let _=0;_<g.length;_++)if(g[_]!==b[_])return!1;return!0}};class p{static preprocessInputShapes(b,_){return[b.length===1?[1,b[0]]:b,_.length===1?[_[0],1]:_]}static postprocessOutputShape(b,_,y){_===1&&b.splice(b.length-2,1),y===1&&b.pop()}static calcMatMulShape(b,_){return b[1]!==_[0]?void 0:[b[0],_[1]]}}t.MatMulUtil=p;class c{static calcShape(b,_,y=!1){const w=b.length,v=_.length;if(w===0)return _;if(v===0)return b;const S=Math.max(b.length,_.length),A=new Array(S);if(y){if(w<2||v<2)return;const I=p.calcMatMulShape([b[w-2],b[w-1]],[_[v-2],_[v-1]]);if(I===void 0)return;[A[S-2],A[S-1]]=I}for(let I=y?3:1;I<=S;I++){const x=w-I<0?1:b[w-I],E=v-I<0?1:_[v-I];if(x!==E&&x>1&&E>1)return;A[S-I]=Math.max(x,E)}return A}static index(b,_){const y=new Array(_.length);return c.fillIndex(b,_,y),y}static fillIndex(b,_,y){const w=b.length-_.length;for(let v=0;v<_.length;v++)y[v]=b[w+v]%_[v]}static calc(b,_,y,w,v){const S=c.calcShape(b.dims,_.dims);if(S){if(w&&!e.areEqual(S,b.dims))return;const A=e.size(S),I=w?b:new h.Tensor(S,v||b.type);if(S.length===0)I.set([],y(b.get([]),_.get([])));else{const x=new Array(S.length),E=new Array(b.dims.length),F=new Array(_.dims.length);let R,$=0,L=0,G=!1,D=!1;b.dims.length===0&&($=b.get([]),G=!0),_.dims.length===0&&(L=_.get([]),D=!0);for(let z=0;z<A;z++){R=z;for(let Z=S.length-1;Z>=0;Z--)x[Z]=R%S[Z],R=Math.floor(R/S[Z]);G||(c.fillIndex(x,b.dims,E),$=b.get(E)),D||(c.fillIndex(x,_.dims,F),L=_.get(F)),I.set(x,y($,L))}}return I}}static isValidBroadcast(b,_){const y=b.length,w=_.length;if(y>w)return!1;for(let v=1;v<=y;v++)if(b[y-v]!==1&&b[y-v]!==_[w-v])return!1;return!0}static getBroadcastDims(b,_){const y=b.length,w=[];for(let v=0;v<y;v++){const S=y-1-v,A=b[S]||1;(_[_.length-1-v]||1)>1&&A===1&&w.unshift(S)}return w}}t.BroadcastUtil=c,t.arrayCopyHelper=function(g,b,_,y,w){if(y<0||y>=b.length)throw new Error("sourceIndex out of bounds");if(_<0||_>=g.length)throw new Error("targetIndex out of bounds");if(y+w>b.length)throw new Error("source indices to be copied are outside bounds");if(_+w>g.length)throw new Error("target array is too small to hold result");for(let v=0;v<w;v++)g[_+v]=b[y+v]},t.GemmUtil=class{static getShapeOfGemmResult(g,b,_,y,w){if(g.length!==2||_.length!==2)throw new Error("shape need to be of size 2");let v,S,A;b?(v=g[1],S=g[0]):(v=g[0],S=g[1]);let I=-1;if(y?(A=_[0],I=1):(A=_[1],I=0),_[I]!==S)throw new Error("dimension mismatch");if(v<=0||A<=0||S<=0)throw new Error("invalid shape specified");if(w&&!c.isValidBroadcast(w,[v,A]))throw new Error("gemm: invalid bias shape for broadcast");return[v,A,S]}};class l{static tensorDataTypeFromProto(b){switch(b){case u.onnx.TensorProto.DataType.INT8:return"int8";case u.onnx.TensorProto.DataType.UINT8:return"uint8";case u.onnx.TensorProto.DataType.BOOL:return"bool";case u.onnx.TensorProto.DataType.INT16:return"int16";case u.onnx.TensorProto.DataType.UINT16:return"uint16";case u.onnx.TensorProto.DataType.INT32:return"int32";case u.onnx.TensorProto.DataType.UINT32:return"uint32";case u.onnx.TensorProto.DataType.FLOAT:return"float32";case u.onnx.TensorProto.DataType.DOUBLE:return"float64";case u.onnx.TensorProto.DataType.STRING:return"string";case u.onnx.TensorProto.DataType.INT64:return"int32";case u.onnx.TensorProto.DataType.UINT64:return"uint32";default:throw new Error(`unsupported data type: ${u.onnx.TensorProto.DataType[b]}`)}}static tensorDataTypeStringToEnum(b){switch(b){case"int8":return u.onnx.TensorProto.DataType.INT8;case"uint8":return u.onnx.TensorProto.DataType.UINT8;case"bool":return u.onnx.TensorProto.DataType.BOOL;case"int16":return u.onnx.TensorProto.DataType.INT16;case"uint16":return u.onnx.TensorProto.DataType.UINT16;case"int32":return u.onnx.TensorProto.DataType.INT32;case"uint32":return u.onnx.TensorProto.DataType.UINT32;case"float32":return u.onnx.TensorProto.DataType.FLOAT;case"float64":return u.onnx.TensorProto.DataType.DOUBLE;case"string":return u.onnx.TensorProto.DataType.STRING;case"int64":return u.onnx.TensorProto.DataType.INT64;case"uint64":return u.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${b}`)}}static 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0:nt.name)==="node"?(ONNX=fs??ONNX_NODE,executionProviders.unshift("cpu")):(ONNX=ortWeb_min??ONNX_WEB,typeof navigator<"u"&&/iP(hone|od|ad).+16_4.+AppleWebKit/.test(navigator.userAgent)&&(ONNX.env.wasm.simd=!1));const{env:onnx_env}=ONNX,VERSION="2.4.0",WEB_CACHE_AVAILABLE=typeof self<"u"&&"caches"in self,FS_AVAILABLE=!isEmpty(fs),PATH_AVAILABLE=!isEmpty(fs),RUNNING_LOCALLY=FS_AVAILABLE&&PATH_AVAILABLE,__dirname=RUNNING_LOCALLY?fs.dirname(fs.dirname(fs.fileURLToPath(self.location.href))):"./",DEFAULT_CACHE_DIR=RUNNING_LOCALLY?fs.join(__dirname,"/.cache/"):null,DEFAULT_LOCAL_MODEL_PATH="/models/",localModelPath=RUNNING_LOCALLY?fs.join(__dirname,DEFAULT_LOCAL_MODEL_PATH):DEFAULT_LOCAL_MODEL_PATH;onnx_env.wasm.wasmPaths=RUNNING_LOCALLY?fs.join(__dirname,"/dist/"):`https://cdn.jsdelivr.net/npm/@xenova/transformers@${VERSION}/dist/`;const env={backends:{onnx:onnx_env,tfjs:{}},__dirname,version:VERSION,allowRemoteModels:!0,remoteHost:"https://huggingface.co/",remotePathTemplate:"{model}/resolve/{revision}/",allowLocalModels:!0,localModelPath,useFS:FS_AVAILABLE,useBrowserCache:WEB_CACHE_AVAILABLE,useFSCache:FS_AVAILABLE,cacheDir:DEFAULT_CACHE_DIR};function isEmpty(m){return Object.keys(m).length===0}globalThis.ReadableStream||(globalThis.ReadableStream=fs.ReadableStream);class Headers extends Object{constructor(...t){super(),Object.assign(this,t)}get(t){return this[t]}clone(){return new Headers(this)}}class FileResponse{constructor(t){Ee(this,"_CONTENT_TYPE_MAP",{txt:"text/plain",html:"text/html",css:"text/css",js:"text/javascript",json:"application/json",png:"image/png",jpg:"image/jpeg",jpeg:"image/jpeg",gif:"image/gif"});if(this.filePath=t,this.headers=new Headers,this.exists=fs.existsSync(t),this.exists){this.status=200,this.statusText="OK";let 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transpose_data(m,t,i){const s=new Array(i.length),a=new Array(i.length);for(let h=i.length-1,p=1;h>=0;--h)a[h]=p,s[h]=t[i[h]],p*=s[h];const d=i.map((h,p)=>a[i.indexOf(p)]),u=new m.constructor(m.length);for(let h=0;h<m.length;++h){let p=0;for(let c=t.length-1,l=h;c>=0;--c)p+=l%t[c]*d[c],l=Math.floor(l/t[c]);u[p]=m[h]}return[u,s]}function softmax(m){const t=max(m)[0],i=m.map(d=>Math.exp(d-t)),s=i.reduce((d,u)=>d+u,0);return i.map(d=>d/s)}function log_softmax(m){return softmax(m).map(s=>Math.log(s))}function getTopItems(m,t=0){return m=Array.from(m).map((i,s)=>[s,i]).sort((i,s)=>s[1]-i[1]),t>0&&(m=m.slice(0,t)),m}function min(m){if(m.length===0)throw Error("Array must not be empty");let t=m[0],i=0;for(let s=1;s<m.length;++s)m[s]<t&&(t=m[s],i=s);return[t,i]}function max(m){if(m.length===0)throw Error("Array must not be empty");let t=m[0],i=0;for(let s=1;s<m.length;++s)m[s]>t&&(t=m[s],i=s);return[t,i]}function rfftfreq(m,t=1){if(!Number.isInteger(m))throw new TypeError(`n should be an integer, but ${m} given.`);const i=1/(m*t),s=Math.floor(m/2)+1,a=new Array(s);for(let d=0;d<s;++d)a[d]=d*i;return a}class FFT{constructor(t){if(this.size=t|0,this.size<=1||this.size&this.size-1)throw new Error("FFT size must be a power of two and bigger than 1");this._csize=t<<1,this.table=new Float32Array(this.size*2);for(let s=0;s<this.table.length;s+=2){const a=Math.PI*s/this.size;this.table[s]=Math.cos(a),this.table[s+1]=-Math.sin(a)}let i=0;for(let s=1;this.size>s;s<<=1)++i;this._width=i%2===0?i-1:i,this._bitrev=new Int32Array(1<<this._width);for(let s=0;s<this._bitrev.length;++s){this._bitrev[s]=0;for(let a=0;a<this._width;a+=2){const d=this._width-a-2;this._bitrev[s]|=(s>>>a&3)<<d}}}createComplexArray(){return new Float32Array(this._csize)}fromComplexArray(t,i){const s=i||new Array(t.length>>>1);for(let a=0;a<t.length;a+=2)s[a>>>1]=t[a];return s}toComplexArray(t,i){const s=i||this.createComplexArray();for(let a=0;a<s.length;a+=2)s[a]=t[a>>>1],s[a+1]=0;return s}completeSpectrum(t){const i=this._csize,s=i>>>1;for(let a=2;a<s;a+=2)t[i-a]=t[a],t[i-a+1]=-t[a+1]}transform(t,i){if(t===i)throw new Error("Input and output buffers must be different");this._transform4(t,i,1)}realTransform(t,i){if(t===i)throw new Error("Input and output buffers must be different");this._realTransform4(t,i,1)}inverseTransform(t,i){if(t===i)throw new Error("Input and output buffers must be different");this._transform4(t,i,-1);for(let s=0;s<t.length;++s)t[s]/=this.size}_transform4(t,i,s){const a=this._csize;let u=1<<this._width,h=a/u<<1,p,c,l=this._bitrev;if(h===4)for(p=0,c=0;p<a;p+=h,++c){const n=l[c];this._singleTransform2(i,t,p,n,u)}else for(p=0,c=0;p<a;p+=h,++c){const n=l[c];this._singleTransform4(i,t,p,n,u,s)}for(u>>=2;u>=2;u>>=2){h=a/u<<1;let n=h>>>2;for(p=0;p<a;p+=h){let e=p+n;for(let r=p,o=0;r<e;r+=2,o+=u){const f=r,g=f+n,b=g+n,_=b+n,y=t[f],w=t[f+1],v=t[g],S=t[g+1],A=t[b],I=t[b+1],x=t[_],E=t[_+1],F=this.table[o],R=s*this.table[o+1],$=v*F-S*R,L=v*R+S*F,G=this.table[2*o],D=s*this.table[2*o+1],z=A*G-I*D,Z=A*D+I*G,X=this.table[3*o],J=s*this.table[3*o+1],ee=x*X-E*J,ue=x*J+E*X,Se=y+z,ve=w+Z,se=y-z,ye=w-Z,be=$+ee,Pe=L+ue,Ne=s*($-ee),xe=s*(L-ue);t[f]=Se+be,t[f+1]=ve+Pe,t[g]=se+xe,t[g+1]=ye-Ne,t[b]=Se-be,t[b+1]=ve-Pe,t[_]=se-xe,t[_+1]=ye+Ne}}}}_singleTransform2(t,i,s,a,d){const u=t[a],h=t[a+1],p=t[a+d],c=t[a+d+1];i[s]=u+p,i[s+1]=h+c,i[s+2]=u-p,i[s+3]=h-c}_singleTransform4(t,i,s,a,d,u){const h=d*2,p=d*3,c=t[a],l=t[a+1],n=t[a+d],e=t[a+d+1],r=t[a+h],o=t[a+h+1],f=t[a+p],g=t[a+p+1],b=c+r,_=l+o,y=c-r,w=l-o,v=n+f,S=e+g,A=u*(n-f),I=u*(e-g);i[s]=b+v,i[s+1]=_+S,i[s+2]=y+I,i[s+3]=w-A,i[s+4]=b-v,i[s+5]=_-S,i[s+6]=y-I,i[s+7]=w+A}_realTransform4(t,i,s){const a=this._csize;let u=1<<this._width,h=a/u<<1;var p,c,l=this._bitrev;if(h===4)for(p=0,c=0;p<a;p+=h,++c){const n=l[c];this._singleRealTransform2(i,t,p,n>>>1,u>>>1)}else for(p=0,c=0;p<a;p+=h,++c){const n=l[c];this._singleRealTransform4(i,t,p,n>>>1,u>>>1,s)}for(u>>=2;u>=2;u>>=2){h=a/u<<1;const n=h>>>1,e=n>>>1,r=e>>>1;for(p=0;p<a;p+=h)for(let o=0,f=0;o<=r;o+=2,f+=u){const g=p+o,b=g+e,_=b+e,y=_+e,w=t[g],v=t[g+1],S=t[b],A=t[b+1],I=t[_],x=t[_+1],E=t[y],F=t[y+1],R=this.table[f],$=s*this.table[f+1],L=S*R-A*$,G=S*$+A*R,D=this.table[2*f],z=s*this.table[2*f+1],Z=I*D-x*z,X=I*z+x*D,J=this.table[3*f],ee=s*this.table[3*f+1],ue=E*J-F*ee,Se=E*ee+F*J,ve=w+Z,se=v+X,ye=w-Z,be=v-X,Pe=L+ue,Ne=G+Se,xe=s*(L-ue),Fe=s*(G-Se);if(t[g]=ve+Pe,t[g+1]=se+Ne,t[b]=ye+Fe,t[b+1]=be-xe,o===0){t[_]=ve-Pe,t[_+1]=se-Ne;continue}if(o===r)continue;const Ce=p+e-o,Ie=p+n-o;t[Ce]=ye+-s*Fe,t[Ce+1]=-be-s*xe,t[Ie]=ve+-s*Pe,t[Ie+1]=-se+s*Ne}}}_singleRealTransform2(t,i,s,a,d){const u=t[a],h=t[a+d];i[s]=u+h,i[s+1]=0,i[s+2]=u-h,i[s+3]=0}_singleRealTransform4(t,i,s,a,d,u){const h=d*2,p=d*3,c=t[a],l=t[a+d],n=t[a+h],e=t[a+p],r=c+n,o=c-n,f=l+e,g=u*(l-e);i[s]=r+f,i[s+1]=0,i[s+2]=o,i[s+3]=-g,i[s+4]=r-f,i[s+5]=0,i[s+6]=o,i[s+7]=g}}function medianFilter(m,t){if(t%2===0||t<=0)throw new Error("Window size must be a positive odd number");const i=new m.constructor(m.length),s=new m.constructor(t),a=Math.floor(t/2);for(let d=0;d<m.length;++d){let u=0;for(let h=-a;h<=a;++h){let p=d+h;p<0?p=Math.abs(p):p>=m.length&&(p=2*(m.length-1)-p),s[u++]=m[p]}s.sort(),i[d]=s[a]}return i}function round(m,t){const i=Math.pow(10,t);return Math.round(m*i)/i}const ONNXTensor$1=ONNX.Tensor;class Tensor extends ONNXTensor$1{constructor(...t){return t[0]instanceof ONNX.Tensor?super(t[0].type,t[0].data,t[0].dims):super(...t),new Proxy(this,{get:(i,s)=>{if(typeof s=="string"){let a=Number(s);if(Number.isInteger(a))return i._getitem(a)}return i[s]},set:(i,s,a)=>i[s]=a})}*[Symbol.iterator](){const[t,...i]=this.dims;if(i.length>0){const s=i.reduce((a,d)=>a*d);for(let a=0;a<t;++a)yield this._subarray(a,s,i)}else yield*this.data}_getitem(t){const[i,...s]=this.dims;if(t=safeIndex(t,i),s.length>0){const a=s.reduce((d,u)=>d*u);return this._subarray(t,a,s)}else return new Tensor(this.type,[this.data[t]],s)}indexOf(t){for(let i=0;i<this.data.length;++i)if(this.data[i]==t)return i;return-1}_subarray(t,i,s){let a=this.data.subarray(t*i,(t+1)*i);return new Tensor(this.type,a,s)}item(){if(this.data.length!==1)throw new Error(`a Tensor with ${this.data.length} elements cannot be converted to Scalar`);return this.data[0]}tolist(){return reshape(this.data,this.dims)}sigmoid(){return this.clone().sigmoid_()}sigmoid_(){for(let t=0;t<this.data.length;++t)this.data[t]=1/(1+Math.exp(-this.data[t]));return this}clone(){return new Tensor(this.type,this.data.slice(),this.dims.slice())}slice(...t){let i=[],s=[];for(let p=0;p<this.dims.length;++p){let c=t[p];if(c==null)s.push([0,this.dims[p]]),i.push(this.dims[p]);else if(typeof c=="number")c=safeIndex(c,this.dims[p],p),s.push([c,c+1]);else if(Array.isArray(c)&&c.length===2){if(c[0]>c[1])throw new Error(`Invalid slice: ${c}`);let l=[Math.max(c[0],0),Math.min(c[1],this.dims[p])];s.push(l),i.push(l[1]-l[0])}else throw new Error(`Invalid slice: ${c}`)}let a=s.map(([p,c])=>c-p),d=a.reduce((p,c)=>p*c),u=new this.data.constructor(d);const h=this.stride();for(let p=0;p<d;++p){let c=0;for(let l=a.length-1,n=p;l>=0;--l){const e=a[l];c+=(n%e+s[l][0])*h[l],n=Math.floor(n/e)}u[p]=this.data[c]}return new Tensor(this.type,u,i)}transpose(...t){return transpose(this,t)}sum(t=null,i=!1){return this.norm(1,t,i)}norm(t="fro",i=null,s=!1){if(t==="fro")t=2;else if(typeof t=="string")throw Error(`Unsupported norm: ${t}`);if(i===null){let u=this.data.reduce((h,p)=>h+p**t,0)**(1/t);return new Tensor(this.type,[u],[])}i=safeIndex(i,this.dims.length);const a=this.dims.slice();a[i]=1;const d=new this.data.constructor(this.data.length/this.dims[i]);for(let u=0;u<this.data.length;++u){let h=0;for(let p=this.dims.length-1,c=u,l=1;p>=0;--p){const n=this.dims[p];if(p!==i){const e=c%n;h+=e*l,l*=a[p]}c=Math.floor(c/n)}d[h]+=this.data[u]**t}if(t!==1)for(let u=0;u<d.length;++u)d[u]=d[u]**(1/t);return s||a.splice(i,1),new Tensor(this.type,d,a)}normalize_(t=2,i=1){i=safeIndex(i,this.dims.length);const s=this.norm(t,i,!0);for(let a=0;a<this.data.length;++a){let d=0;for(let u=this.dims.length-1,h=a,p=1;u>=0;--u){const c=this.dims[u];if(u!==i){const l=h%c;d+=l*p,p*=this.dims[u]}h=Math.floor(h/c)}this.data[a]/=s.data[d]}return this}normalize(t=2,i=1){return this.clone().normalize_(t,i)}stride(){return dimsToStride(this.dims)}squeeze(t=null){return new Tensor(this.type,this.data,calc_squeeze_dims(this.dims,t))}squeeze_(t=null){return this.dims=calc_squeeze_dims(this.dims,t),this}unsqueeze(t=null){return new Tensor(this.type,this.data,calc_unsqueeze_dims(this.dims,t))}unsqueeze_(t=null){return this.dims=calc_unsqueeze_dims(this.dims,t),this}flatten_(t=0,i=-1){i=(i+this.dims.length)%this.dims.length;let s=this.dims.slice(0,t),a=this.dims.slice(t,i+1),d=this.dims.slice(i+1);return this.dims=[...s,a.reduce((u,h)=>u*h,1),...d],this}flatten(t=0,i=-1){return this.clone().flatten_(t,i)}view(...t){let i=-1;for(let s=0;s<t.length;++s)if(t[s]===-1){if(i!==-1)throw new Error("Only one dimension can be inferred");i=s}if(i!==-1){const s=t.reduce((a,d,u)=>u!==i?a*d:a,1);t[i]=this.data.length/s}return new Tensor(this.type,this.data,t)}neg_(){for(let t=0;t<this.data.length;++t)this.data[t]=-this.data[t];return this}neg(){return this.clone().neg_()}}function reshape(m,t){const i=m.length,s=t.reduce((d,u)=>d*u);if(i!==s)throw Error(`cannot reshape array of size ${i} into shape (${t})`);let a=m;for(let d=t.length-1;d>=0;d--)a=a.reduce((u,h)=>{let p=u[u.length-1];return p.length<t[d]?p.push(h):u.push([h]),u},[[]]);return a[0]}function transpose(m,t){const[i,s]=transpose_data(m.data,m.dims,t);return new Tensor(m.type,i,s)}function interpolate(m,[t,i],s="bilinear",a=!1){const d=m.dims.at(-3)??1,u=m.dims.at(-2),h=m.dims.at(-1);let p=interpolate_data(m.data,[d,u,h],[t,i],s,a);return new Tensor(m.type,p,[d,t,i])}function mean_pooling(m,t){let i=[m.dims[0],m.dims[2]],s=new m.data.constructor(i[0]*i[1]),[a,d,u]=m.dims,h=0;for(let p=0;p<a;++p){let c=p*u*d;for(let l=0;l<u;++l){let n=0,e=0,r=p*d,o=c+l;for(let g=0;g<d;++g){let b=Number(t.data[r+g]);e+=b,n+=m.data[o+g*u]*b}let f=n/e;s[h++]=f}}return new Tensor(m.type,s,i)}function calc_squeeze_dims(m,t){return m=m.slice(),t===null?m=m.filter(i=>i!==1):typeof t=="number"?m[t]===1&&m.splice(t,1):Array.isArray(t)&&(m=m.filter((i,s)=>i!==1||!t.includes(s))),m}function calc_unsqueeze_dims(m,t){return t=safeIndex(t,m.length+1),m=m.slice(),m.splice(t,0,1),m}function safeIndex(m,t,i=null){if(m<-t||m>=t)throw new Error(`IndexError: index ${m} is out of bounds for dimension${i===null?"":" "+i} with size ${t}`);return m<0&&(m=(m%t+t)%t),m}function cat(m,t=0){t=safeIndex(t,m[0].dims.length);const i=m[0].dims.slice();i[t]=m.reduce((u,h)=>u+h.dims[t],0);const s=i.reduce((u,h)=>u*h,1),a=new m[0].data.constructor(s),d=m[0].type;if(t===0){let u=0;for(let h of m)a.set(h.data,u),u+=h.data.length}else{let u=0;for(let h=0;h<m.length;++h){let p=m[h];for(let c=0;c<p.data.length;++c){let l=0;for(let n=p.dims.length-1,e=c,r=1;n>=0;--n){const o=p.dims[n];let f=e%o;n===t&&(f+=u),l+=f*r,r*=i[n],e=Math.floor(e/o)}a[l]=p.data[c]}u+=p.dims[t]}}return new Tensor(d,a,i)}function stack(m,t=0){return cat(m.map(i=>i.unsqueeze(t)),t)}function std_mean(m,t=null,i=1,s=!1){if(t===null){const c=m.data.reduce((r,o)=>r+o,0)/m.data.length,l=Math.sqrt(m.data.reduce((r,o)=>r+(o-c)**2,0)/(m.data.length-i)),n=new Tensor(m.type,[c],[]);return[new Tensor(m.type,[l],[]),n]}t=safeIndex(t,m.dims.length);const a=mean(m,t,s),d=m.dims.slice();d[t]=1;const u=new m.data.constructor(m.data.length/m.dims[t]);for(let p=0;p<m.data.length;++p){let c=0;for(let l=m.dims.length-1,n=p,e=1;l>=0;--l){const r=m.dims[l];if(l!==t){const o=n%r;c+=o*e,e*=d[l]}n=Math.floor(n/r)}u[c]+=(m.data[p]-a.data[c])**2}for(let p=0;p<u.length;++p)u[p]=Math.sqrt(u[p]/(m.dims[t]-i));return s||d.splice(t,1),[new Tensor(m.type,u,d),a]}function mean(m,t=null,i=!1){if(t===null){let d=m.data.reduce((u,h)=>u+h,0);return new Tensor(m.type,[d/m.data.length],[])}t=safeIndex(t,m.dims.length);const s=m.dims.slice();s[t]=1;const a=new m.data.constructor(m.data.length/m.dims[t]);for(let d=0;d<m.data.length;++d){let u=0;for(let h=m.dims.length-1,p=d,c=1;h>=0;--h){const l=m.dims[h];if(h!==t){const n=p%l;u+=n*c,c*=s[h]}p=Math.floor(p/l)}a[u]+=m.data[d]}if(m.dims[t]!==1)for(let d=0;d<a.length;++d)a[d]=a[d]/m.dims[t];return i||s.splice(t,1),new Tensor(m.type,a,s)}function dynamicTimeWarping(m){const[t,i]=m.dims,s=[t+1,i+1],a=new Tensor("float32",new Float32Array(s[0]*s[1]).fill(1/0),s),d=new Tensor("float32",new Float32Array(s[0]*s[1]).fill(-1),s);a[0].data[0]=0;for(let l=1;l<i+1;++l)for(let n=1;n<t+1;++n){const e=a[n-1][l-1].item(),r=a[n-1][l].item(),o=a[n][l-1].item();let f,g;e<r&&e<o?(f=e,g=0):r<e&&r<o?(f=r,g=1):(f=o,g=2),a[n].data[l]=m[n-1][l-1].item()+f,d[n].data[l]=g}let u=t,h=i;d.data.fill(2,0,s[1]);for(let l=0;l<s[0];++l)d[l].data[0]=1;let p=[],c=[];for(;u>0||h>0;)switch(p.push(u-1),c.push(h-1),d[u][h].item()){case 0:--u,--h;break;case 1:--u;break;case 2:--h;break;default:throw new Error(`Internal error in dynamic time warping. Unexpected trace[${u}, ${h}]. Please file a bug report.`)}return p.reverse(),c.reverse(),[p,c]}function dimsToStride(m){const t=new Array(m.length);for(let i=m.length-1,s=1;i>=0;--i)t[i]=s,s*=m[i];return t}async function loadTokenizer(m,t){return await Promise.all([getModelJSON(m,"tokenizer.json",!0,t),getModelJSON(m,"tokenizer_config.json",!0,t)])}function createPattern(m,t=!0){return m.Regex?new RegExp(t?m.Regex:`(${m.Regex})`,"gu"):m.String?m.String:(console.warn("Unknown pattern type:",m),null)}function clean_up_tokenization(m){return m.replace(/ \./g,".").replace(/ \?/g,"?").replace(/ \!/g,"!").replace(/ ,/g,",").replace(/ \' /g,"'").replace(/ n\'t/g,"n't").replace(/ \'m/g,"'m").replace(/ \'s/g,"'s").replace(/ \'ve/g,"'ve").replace(/ \'re/g,"'re")}function fuse(m,t){let i=[],s=0;for(;s<m.length;){if(i.push(m[s]),m[s]!==t){++s;continue}for(;s<m.length&&m[s]===t;)++s}return i}function whitespace_split(m){return m.match(/\S+/g)||[]}const PUNCTUATION_REGEX="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E";class TokenizerModel extends Callable{constructor(t){super(),this.config=t,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=!1}static fromConfig(t,...i){switch(t.type){case"WordPiece":return new WordPieceTokenizer(t);case"Unigram":return new Unigram(t,...i);case"BPE":return new BPE(t,...i);default:throw new Error(`Unknown TokenizerModel type: ${t.type}`)}}_call(t){return this.encode(t)}encode(t){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(t){let i=t.map(s=>this.tokens_to_ids.get(s)??this.unk_token_id);return this.fuse_unk&&(i=fuse(i,this.unk_token_id)),i}convert_ids_to_tokens(t){return t.map(i=>this.vocab[i]??this.unk_token)}}class WordPieceTokenizer extends TokenizerModel{constructor(t){super(t),this.tokens_to_ids=t.vocab,this.unk_token_id=this.tokens_to_ids.get(t.unk_token),this.unk_token=t.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[i,s]of this.tokens_to_ids)this.vocab[s]=i}encode(t){let i=[];for(let s of t){let a=[...s],d=!1,u=0,h=[];for(;u<a.length;){let p=a.length,c=null;for(;u<p;){let l=a.slice(u,p).join("");if(u>0&&(l=this.config.continuing_subword_prefix+l),this.tokens_to_ids.has(l)){c=l;break}--p}if(c===null){d=!0;break}h.push(c),u=p}d?i.push(this.unk_token):i.push(...h)}return i}}class Unigram extends TokenizerModel{constructor(t,i){super(t),this.vocab=new Array(t.vocab.size),this.scores=new Array(t.vocab.size);let s=0;t.vocab.forEach((a,d)=>{this.vocab[s]=d,this.scores[s]=a,++s}),this.unk_token_id=t.unk_id,this.unk_token=this.vocab[t.unk_id],this.tokens_to_ids=new Map(this.vocab.map((a,d)=>[a,d])),this.bosToken=" ",this.bosTokenId=this.tokens_to_ids.get(this.bosToken),this.eosToken=i.eos_token,this.eosTokenId=this.tokens_to_ids.get(this.eosToken),this.unkToken=this.vocab[this.unk_token_id],this.minScore=min(this.scores)[0],this.unkScore=this.minScore-10,this.scores[this.unk_token_id]=this.unkScore,this.trie=new CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(t){const i=t.sentence,s=i.length;let a=0;for(;a<s;){let u=!1;for(let h of this.trie.commonPrefixSearch(i.slice(a))){const p=this.tokens_to_ids.get(h),c=this.scores[p],l=h.length;t.insert(a,l,c,p),!u&&l===1&&(u=!0)}u||t.insert(a,1,this.unkScore,this.unk_token_id),a+=1}}tokenize(t){const i=new TokenLattice(t,this.bosTokenId,this.eosTokenId);return this.populateNodes(i),i.tokens()}encode(t){let i=[];for(let s of t){const a=this.tokenize(s);i.push(...a)}return i}}const BYTES_TO_UNICODE=(()=>{const m=[...Array.from({length:"~".charCodeAt(0)-"!".charCodeAt(0)+1},(a,d)=>d+"!".charCodeAt(0)),...Array.from({length:"¬".charCodeAt(0)-"¡".charCodeAt(0)+1},(a,d)=>d+"¡".charCodeAt(0)),...Array.from({length:"ÿ".charCodeAt(0)-"®".charCodeAt(0)+1},(a,d)=>d+"®".charCodeAt(0))];let t=m.slice(),i=0;for(let a=0;a<256;++a)m.includes(a)||(m.push(a),t.push(256+i),i+=1);let s=t.map(a=>String.fromCharCode(a));return Object.fromEntries(m.map((a,d)=>[a,s[d]]))})(),UNICODE_TO_BYTES=reverseDictionary(BYTES_TO_UNICODE);class BPE extends TokenizerModel{constructor(t){super(t),this.tokens_to_ids=t.vocab,this.unk_token_id=this.tokens_to_ids.get(t.unk_token),this.unk_token=t.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[i,s]of this.tokens_to_ids)this.vocab[s]=i;this.bpe_ranks=Object.fromEntries(t.merges.map((i,s)=>[i,s])),this.merges=t.merges.map(i=>i.split(/\s+/)),this.end_of_word_suffix=t.end_of_word_suffix,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.cache=Object.create(null),this.fuse_unk??(this.fuse_unk=this.config.fuse_unk)}get_pairs(t){let i=new Set,s=t[0];for(let a=1;a<t.length;++a){let d=t[a];i.add(`${s} ${d}`),s=d}return Array.from(i)}bpe(t){if(t in this.cache)return this.cache[t];let i=Array.from(t);this.end_of_word_suffix&&(i[i.length-1]+=this.end_of_word_suffix);let s=this.get_pairs(i);if(!s.length)return this.end_of_word_suffix&&(t+=this.end_of_word_suffix),t;for(;;){let d=s.reduce((n,e)=>{let r=this.bpe_ranks[n]??1/0,o=this.bpe_ranks[e]??1/0;return r<=o?n:e});if(!(d in this.bpe_ranks))break;let[u,h]=d.split(/\s+/g),p=[],c=0,l=-1;for(;c<i.length;){try{if(l=i.indexOf(u,c),l===-1)throw"Error"}catch{p.push(...i.slice(c));break}p.push(...i.slice(c,l)),c=l,i[c]===u&&c<i.length-1&&i[c+1]===h?(p.push(u+h),c+=2):(p.push(i[c]),c+=1)}if(i=p,i.length===1)break;s=this.get_pairs(i)}let a=i.join(" ");return this.cache[t]=a,a}encode(t){let i=[];for(let s of t){let a=this.bpe(s).split(" ");for(let d of a)this.tokens_to_ids.has(d)?i.push(d):this.byte_fallback?i.push(...Array.from(this.text_encoder.encode(d)).map(u=>`<0x${u.toString(16).toUpperCase().padStart(2,"0")}>`)):i.push(this.unk_token)}return i}}class Normalizer extends Callable{constructor(t){super(),this.config=t}static fromConfig(t){if(t===null)return null;switch(t.type){case"BertNormalizer":return new BertNormalizer(t);case"Precompiled":return new Precompiled(t);case"Sequence":return new NormalizerSequence(t);case"Replace":return new Replace(t);case"NFC":return new NFC(t);case"NFKD":return new NFKD(t);case"StripAccents":return new StripAccents(t);case"Lowercase":return new Lowercase(t);case"Prepend":return new Prepend(t);default:throw new Error(`Unknown Normalizer type: ${t.type}`)}}normalize(t){throw Error("normalize should be implemented in subclass.")}_call(t){return this.normalize(t)}}class Replace extends Normalizer{normalize(t){let i=createPattern(this.config.pattern);return i===null||(t=t.replaceAll(i,this.config.content)),t}}class NFC extends Normalizer{normalize(t){return t=t.normalize("NFC"),t}}class NFKD extends Normalizer{normalize(t){return t=t.normalize("NFKD"),t}}class StripAccents extends Normalizer{normalize(t){return t=t.replace(/[\u0300-\u036f]/g,""),t}}class Lowercase extends Normalizer{normalize(t){return t=t.toLowerCase(),t}}class Prepend extends Normalizer{normalize(t){return t=this.config.prepend+t,t}}class NormalizerSequence extends Normalizer{constructor(t){super(t),this.normalizers=t.normalizers.map(i=>Normalizer.fromConfig(i))}normalize(t){return this.normalizers.reduce((i,s)=>s.normalize(i),t)}}class BertNormalizer extends Normalizer{_tokenize_chinese_chars(t){let i=[];for(let s=0;s<t.length;++s){let a=t[s],d=a.charCodeAt(0);this._is_chinese_char(d)?(i.push(" "),i.push(a),i.push(" ")):i.push(a)}return i.join("")}_is_chinese_char(t){return t>=19968&&t<=40959||t>=13312&&t<=19903||t>=131072&&t<=173791||t>=173824&&t<=177983||t>=177984&&t<=178207||t>=178208&&t<=183983||t>=63744&&t<=64255||t>=194560&&t<=195103}stripAccents(t){return t.normalize("NFD").replace(/[\u0300-\u036f]/g,"")}normalize(t){return this.config.handle_chinese_chars&&(t=this._tokenize_chinese_chars(t)),this.config.lowercase?(t=t.toLowerCase(),this.config.strip_accents!==!1&&(t=this.stripAccents(t))):this.config.strip_accents&&(t=this.stripAccents(t)),t}}class PreTokenizer extends Callable{static fromConfig(t){if(t===null)return null;switch(t.type){case"BertPreTokenizer":return new BertPreTokenizer(t);case"Sequence":return new PreTokenizerSequence(t);case"WhitespaceSplit":return new WhitespaceSplit(t);case"Metaspace":return new MetaspacePreTokenizer(t);case"ByteLevel":return new ByteLevelPreTokenizer(t);case"Split":return new SplitPreTokenizer(t);case"Punctuation":return new PunctuationPreTokenizer(t);case"Digits":return new DigitsPreTokenizer(t);default:throw new Error(`Unknown PreTokenizer type: ${t.type}`)}}pre_tokenize_text(t){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(t){let i=[];return Array.isArray(t)?i=t.map(s=>this.pre_tokenize_text(s)):i=this.pre_tokenize_text(t),i.flat()}_call(t){return this.pre_tokenize(t)}}class BertPreTokenizer extends PreTokenizer{constructor(t){super(),this.pattern=new RegExp(`[^\\s${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]`,"gu")}pre_tokenize_text(t){return t.trim().match(this.pattern)||[]}}class ByteLevelPreTokenizer extends PreTokenizer{constructor(t){super(),this.config=t,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=BYTES_TO_UNICODE,this.text_encoder=new TextEncoder}pre_tokenize_text(t){return(this.use_regex?t.match(this.pattern)||[]:[t]).map(s=>(this.add_prefix_space&&!s.startsWith(" ")&&(s=" "+s),s=Array.from(this.text_encoder.encode(s),a=>this.byte_encoder[a]).join(""),s))}}class SplitPreTokenizer extends PreTokenizer{constructor(t){super(),this.config=t,this.pattern=createPattern(this.config.pattern,this.config.invert)}pre_tokenize_text(t){return this.pattern===null?[]:this.config.invert?t.match(this.pattern)||[]:t.split(this.pattern).filter(i=>i)}}class PunctuationPreTokenizer extends PreTokenizer{constructor(t){super(),this.config=t,this.pattern=new RegExp(`[^${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]+`,"gu")}pre_tokenize_text(t){return t.match(this.pattern)||[]}}class DigitsPreTokenizer extends PreTokenizer{constructor(t){super(),this.config=t;const i=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(i,"gu")}pre_tokenize_text(t){return t.match(this.pattern)||[]}}class PostProcessor extends Callable{constructor(t){super(),this.config=t}static fromConfig(t){if(t===null)return null;switch(t.type){case"TemplateProcessing":return new TemplateProcessing(t);case"ByteLevel":return new ByteLevelPostProcessor(t);case"RobertaProcessing":return new RobertaProcessing(t);default:throw new Error(`Unknown PostProcessor type: ${t.type}`)}}post_process(t,...i){throw Error("post_process should be implemented in subclass.")}_call(t,...i){return this.post_process(t,...i)}}class RobertaProcessing extends PostProcessor{constructor(t){super(t),this.cls=t.cls[0],this.sep=t.sep[0]}post_process(t,i=null){return t=mergeArrays([this.cls],t,[this.sep]),i!==null&&(t=mergeArrays(t,[this.sep],i,[this.sep])),t}}class TemplateProcessing extends PostProcessor{constructor(t){super(t),this.single=t.single,this.pair=t.pair}post_process(t,i=null){let s=i===null?this.single:this.pair,a=[];for(let d of s)"SpecialToken"in d?a.push(d.SpecialToken.id):"Sequence"in d&&(d.Sequence.id==="A"?a=mergeArrays(a,t):d.Sequence.id==="B"&&(a=mergeArrays(a,i)));return a}}class ByteLevelPostProcessor extends PostProcessor{post_process(t){return t}}class Decoder extends Callable{constructor(t){super(),this.config=t,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=t.trim_offsets}static fromConfig(t){switch(t.type){case"WordPiece":return new WordPieceDecoder(t);case"Metaspace":return new MetaspaceDecoder(t);case"ByteLevel":return new ByteLevelDecoder(t);case"Replace":return new ReplaceDecoder(t);case"ByteFallback":return new ByteFallback(t);case"Fuse":return new FuseDecoder(t);case"Strip":return new StripDecoder(t);case"Sequence":return new DecoderSequence(t);default:throw new Error(`Unknown Decoder type: ${t.type}`)}}_call(t){return this.decode(t)}decode(t){return this.decode_chain(t).join("")}decode_chain(t){throw Error("`decode_chain` should be implemented in subclass.")}}class ReplaceDecoder extends Decoder{constructor(t){super(t)}decode_chain(t){let i=createPattern(this.config.pattern);return i===null?t:t.map(s=>s.replaceAll(i,this.config.content))}}class ByteFallback extends Decoder{constructor(t){super(t),this.text_decoder=new TextDecoder}decode_chain(t){let i=[],s=[];for(let a of t){let d=null;if(a.length===6&&a.startsWith("<0x")&&a.endsWith(">")){let u=parseInt(a.slice(3,5),16);isNaN(u)||(d=u)}if(d!==null)s.push(d);else{if(s.length>0){let u=this.text_decoder.decode(Uint8Array.from(s));i.push(u),s=[]}i.push(a)}}if(s.length>0){let a=this.text_decoder.decode(Uint8Array.from(s));i.push(a),s=[]}return i}}class FuseDecoder extends Decoder{constructor(t){super(t)}decode_chain(t){return[t.join("")]}}class StripDecoder extends Decoder{constructor(t){super(t),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(t){return t.map(i=>{let s=0;for(let d=0;d<this.start&&i[d]===this.content;++d){s=d+1;continue}let a=i.length;for(let d=0;d<this.stop;++d){const u=i.length-d-1;if(i[u]===this.content){a=u;continue}else break}return i.slice(s,a)})}}class WordPieceDecoder extends Decoder{constructor(t){super(t),this.cleanup=t.cleanup}decode_chain(t){return t.map((i,s)=>(s!==0&&(i.startsWith(this.config.prefix)?i=i.replace(this.config.prefix,""):i=" "+i),this.cleanup&&(i=clean_up_tokenization(i)),i))}}class ByteLevelDecoder extends Decoder{constructor(t){super(t),this.byte_decoder=UNICODE_TO_BYTES,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(t){let i=t.join(""),s=new Uint8Array([...i].map(d=>this.byte_decoder[d]));return this.text_decoder.decode(s)}decode_chain(t){let i=[],s=[];for(let a of t)this.added_tokens.includes(a)?(s.length>0&&(i.push(this.convert_tokens_to_string(s)),s=[]),i.push(a)):s.push(a);return s.length>0&&i.push(this.convert_tokens_to_string(s)),i}}class DecoderSequence extends Decoder{constructor(t){super(t),this.decoders=t.decoders.map(i=>Decoder.fromConfig(i))}decode_chain(t){return this.decoders.reduce((i,s)=>s.decode_chain(i),t)}}class MetaspacePreTokenizer extends PreTokenizer{constructor(t){super(),this.addPrefixSpace=t.add_prefix_space,this.replacement=t.replacement,this.strRep=t.str_rep||this.replacement}pre_tokenize(t){typeof t=="string"&&(t=t.trimStart().split(/\s+/));const i=[];for(let s of t){let a=s.replaceAll(" ",this.strRep);this.addPrefixSpace&&!a.startsWith(this.replacement)&&(a=this.strRep+a),i.push(a)}return i}}class MetaspaceDecoder extends Decoder{constructor(t){super(t),this.addPrefixSpace=t.add_prefix_space,this.replacement=t.replacement}decode_chain(t){let i=[];for(let s=0;s<t.length;++s){let a=t[s].replaceAll(this.replacement," ");this.addPrefixSpace&&s==0&&a.startsWith(" ")&&(a=a.substring(1)),i.push(a)}return i}}class Precompiled extends Normalizer{constructor(t){super(t),this.charsmap=t.precompiled_charsmap}normalize(t){return t}}class PreTokenizerSequence extends PreTokenizer{constructor(t){super(),this.tokenizers=t.pretokenizers.map(i=>PreTokenizer.fromConfig(i))}pre_tokenize_text(t){return typeof t=="string"&&(t=[t]),this.tokenizers.reduce((i,s)=>s.pre_tokenize(i),t)}}class WhitespaceSplit extends PreTokenizer{constructor(t){super()}pre_tokenize_text(t){return whitespace_split(t)}}class PreTrainedTokenizer extends Callable{constructor(t,i){super(),this.normalizer=Normalizer.fromConfig(t.normalizer),this.pre_tokenizer=PreTokenizer.fromConfig(t.pre_tokenizer),t.model.vocab&&(Array.isArray(t.model.vocab)||(t.model.vocab=Object.entries(t.model.vocab)),t.model.vocab=new Map(t.model.vocab)),this.model=TokenizerModel.fromConfig(t.model,i),this.post_processor=PostProcessor.fromConfig(t.post_processor),this.decoder=Decoder.fromConfig(t.decoder),this.decoder.end_of_word_suffix=this.model.end_of_word_suffix,this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(let s of t.added_tokens){let a=s.id,d=s.content;this.added_tokens.push(d),this.model.tokens_to_ids.set(d,a),this.model.vocab[a]=d,s.special&&(this.special_tokens.push(d),this.all_special_ids.push(a))}this.decoder.added_tokens=this.added_tokens,this.added_tokens_regex=new RegExp("("+this.added_tokens.map(escapeRegExp).join("|")+")"),this.mask_token=this.getToken(i,"mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken(i,"pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken(i,"sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.model_max_length=i.model_max_length,this.remove_space=i.remove_space,this.clean_up_tokenization_spaces=i.clean_up_tokenization_spaces??!0,this.padding_side="right"}getToken(t,...i){for(let s of i){let a=t[s];if(a)if(typeof a=="object"){if(a.__type==="AddedToken")return a.content;throw Error(`Unknown token: ${a}`)}else return a}return null}static async from_pretrained(t,{progress_callback:i=null,config:s=null,cache_dir:a=null,local_files_only:d=!1,revision:u="main"}={}){let h=await loadTokenizer(t,{progress_callback:i,config:s,cache_dir:a,local_files_only:d,revision:u});return new this(...h)}prepare_model_inputs(t){return t}_call(t,{text_pair:i=null,padding:s=!1,truncation:a=null,max_length:d=null,return_tensor:u=!0}={}){let h;if(Array.isArray(t)){if(t.length===0)throw Error("text array must be non-empty");if(i!==null){if(Array.isArray(i)){if(t.length!==i.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");h=t.map((n,e)=>this.encode(n,i[e]))}else h=t.map(n=>this.encode(n))}else{if(t===null)throw Error("text may not be null");if(Array.isArray(i))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");h=[this.encode(t,i)]}let p=max(h.map(n=>n.length))[0];d===null&&(d=p),d=Math.min(d,this.model_max_length);let c=[];if(s||a)for(let n=0;n<h.length;++n)if(h[n].length===d){c.push(new Array(h[n].length).fill(1));continue}else if(h[n].length>d)a&&(h[n]=h[n].slice(0,d)),c.push(new Array(h[n].length).fill(1));else if(s){let e=d-h[n].length;this.padding_side==="right"?(c.push(new Array(h[n].length).fill(1).concat(new Array(e).fill(0))),h[n].push(...new Array(e).fill(this.pad_token_id))):(c.push(new Array(e).fill(0).concat(new Array(h[n].length).fill(1))),h[n].unshift(...new Array(e).fill(this.pad_token_id)))}else c.push(new Array(h[n].length).fill(1));else c=h.map(n=>new Array(n.length).fill(1));if(u){if(!(s&&a)&&h.some(e=>e.length!==h[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");let n=[h.length,h[0].length];h=new Tensor("int64",BigInt64Array.from(h.flat().map(BigInt)),n),c=new Tensor("int64",BigInt64Array.from(c.flat().map(BigInt)),n)}else Array.isArray(t)||(h=h[0],c=c[0]);let l={input_ids:h,attention_mask:c};return l=this.prepare_model_inputs(l),l}_encode_text(t){return t===null?null:t.split(this.added_tokens_regex).filter(a=>a).map(a=>{if(this.added_tokens.includes(a))return a;{this.remove_space===!0&&(a=a.trim().split(/\s+/).join(" ")),this.normalizer!==null&&(a=this.normalizer(a));let d=this.pre_tokenizer!==null?this.pre_tokenizer(a):[a];return this.model(d)}}).flat()}encode(t,i=null){let s=this._encode_text(t),a=this._encode_text(i),d=this.post_processor!==null?this.post_processor(s,a):mergeArrays(s??[],a??[]);return this.model.convert_tokens_to_ids(d)}batch_decode(t,i={}){return t.map(s=>this.decode(s,i))}decode(t,i={}){if(!Array.isArray(t)||t.length===0||!isIntegralNumber(t[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(t,i)}decode_single(t,{skip_special_tokens:i=!1,clean_up_tokenization_spaces:s=null}){let a=this.model.convert_ids_to_tokens(t);i&&(a=a.filter(u=>!this.special_tokens.includes(u)));let d=this.decoder(a);return this.decoder.end_of_word_suffix&&(d=d.replaceAll(this.decoder.end_of_word_suffix," "),i&&(d=d.trim())),(s??this.clean_up_tokenization_spaces)&&(d=clean_up_tokenization(d)),d}}function add_token_types(m){if(m.input_ids instanceof Tensor)m.token_type_ids=new Tensor("int64",new BigInt64Array(m.input_ids.data.length),m.input_ids.dims);else if(Array.isArray(m.input_ids))Array.isArray(m.input_ids[0])?m.token_type_ids=m.input_ids.map(t=>new Array(t.length).fill(0)):m.token_type_ids=new Array(m.input_ids.length).fill(0);else throw new Error("Input ids must be a Tensor or an Array");return m}class BertTokenizer extends PreTrainedTokenizer{prepare_model_inputs(t){return add_token_types(t)}}class AlbertTokenizer extends PreTrainedTokenizer{prepare_model_inputs(t){return add_token_types(t)}}class MobileBertTokenizer extends PreTrainedTokenizer{prepare_model_inputs(t){return add_token_types(t)}}class SqueezeBertTokenizer extends PreTrainedTokenizer{prepare_model_inputs(t){return add_token_types(t)}}class DistilBertTokenizer extends PreTrainedTokenizer{}class T5Tokenizer extends PreTrainedTokenizer{}class GPT2Tokenizer extends PreTrainedTokenizer{}class BartTokenizer extends PreTrainedTokenizer{}class RobertaTokenizer extends PreTrainedTokenizer{}class BloomTokenizer extends PreTrainedTokenizer{}class LlamaTokenizer extends PreTrainedTokenizer{}class XLMRobertaTokenizer extends PreTrainedTokenizer{}class MPNetTokenizer extends PreTrainedTokenizer{}class FalconTokenizer extends PreTrainedTokenizer{prepare_model_inputs(t){return add_token_types(t)}}class GPTNeoXTokenizer extends PreTrainedTokenizer{}class NllbTokenizer extends PreTrainedTokenizer{constructor(t,i){super(t,i),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(s=>this.languageRegex.test(s))}_build_translation_inputs(t,i,s){if(!this.language_codes.includes(s.tgt_lang))throw new Error(`Target language code "${s.tgt_lang}" is not valid. Must be one of: {${this.language_codes.join(", ")}}`);if(s.src_lang!==void 0){if(!this.language_codes.includes(s.src_lang))throw new Error(`Source language code "${s.src_lang}" is not valid. Must be one of: {${this.language_codes.join(", ")}}`);for(let a of this.post_processor.config.single)if("SpecialToken"in a&&this.languageRegex.test(a.SpecialToken.id)){a.SpecialToken.id=s.src_lang;break}}return s.forced_bos_token_id=this.model.convert_tokens_to_ids([s.tgt_lang])[0],this._call(t,i)}}const WHISPER_LANGUAGES=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],WHISPER_LANGUAGE_MAPPING=new Map(WHISPER_LANGUAGES),WHISPER_TO_LANGUAGE_CODE_MAPPING=new Map([...WHISPER_LANGUAGES.map(([m,t])=>[t,m]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);class WhisperTokenizer extends PreTrainedTokenizer{_decode_asr(t,{return_timestamps:i=!1,return_language:s=!1,time_precision:a=null,force_full_sequences:d=!0}={}){if(a===null)throw Error("Must specify time_precision");let u=null;const h=i==="word";function p(){return{language:u,timestamp:[null,null],text:""}}const c=[];let l=p(),n=0;const e=this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1;let r=[],o=[],f=!1,g=null;const b=new Set(this.all_special_ids);for(let w of t){const v=w.tokens,S=h?w.token_timestamps:null;let A=null,I=e;if("stride"in w){const[F,R,$]=w.stride;if(n-=R,g=F-$,R&&(I=R/a+e),$)for(let L=v.length-1;L>=0;--L){const G=v[L];if(G>=e){if(A!==null&&(G-e)*a<g)break;A=G}}}let x=[],E=[];for(let F=0;F<v.length;++F){const R=v[F];if(b.has(R)){const $=this.decode([R]);if($[0]==="["&&$[$.length-1]==="]"){const L=WHISPER_LANGUAGE_MAPPING.get($.slice(1,-1));if(L!==void 0){if(u!==null&&L!==u&&!i){r.push(x);const G=this.findLongestCommonSequence(r)[0],D=this.decode(G);l.text=D,c.push(l),r=[],x=[],l=p()}u=l.language=L}}}else if(R>=e){const $=(R-e)*a+n,L=round($,2);if(A!==null&&R>=A)f=!0;else if(f||r.length>0&&R<I)f=!1;else if(l.timestamp[0]===null)l.timestamp[0]=L;else if(L!==l.timestamp[0]){l.timestamp[1]=L,r.push(x),h&&o.push(E);const[G,D]=this.findLongestCommonSequence(r,o),z=this.decode(G);l.text=z,h&&(l.words=this.collateWordTimestamps(G,D,u)),c.push(l),r=[],x=[],o=[],E=[],l=p()}}else if(x.push(R),h){let $=round(S[F]+n,2),L;F+1<S.length?L=round(S[F+1]+n,2):L=null,E.push([$,L])}}if("stride"in w){const[F,R,$]=w.stride;n+=F-$}x.length>0?(r.push(x),h&&o.push(E)):r.every(F=>F.length===0)&&(l=p(),r=[],x=[],o=[],E=[])}if(r.length>0){if(d&&i)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[w,v]=this.findLongestCommonSequence(r,o),S=this.decode(w);l.text=S,h&&(l.words=this.collateWordTimestamps(w,v,u)),c.push(l)}let _=Object.create(null);const y=c.map(w=>w.text).join("");if(i||s){for(let w=0;w<c.length;++w){const v=c[w];i||delete v.timestamp,s||delete v.language}if(h){let w=[];for(let v of c)for(let S of v.words)w.push(S);_={chunks:w}}else _={chunks:c}}return[y,_]}findLongestCommonSequence(t,i=null){let s=t[0],a=s.length,d=[];const u=Array.isArray(i)&&i.length>0;let h=u?[]:null,p=u?i[0]:null;for(let c=1;c<t.length;++c){const l=t[c];let n=0,e=[a,a,0,0];const r=l.length;for(let w=1;w<a+r;++w){const v=w/1e4,S=Math.max(0,a-w),A=Math.min(a,a+r-w),I=s.slice(S,A),x=Math.max(0,w-a),E=Math.min(r,w),F=l.slice(x,E);if(I.length!==F.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");const R=I.filter((L,G)=>L===F[G]).length,$=R/w+v;R>1&&$>n&&(n=$,e=[S,A,x,E])}const[o,f,g,b]=e,_=Math.floor((f+o)/2),y=Math.floor((b+g)/2);d.push(...s.slice(0,_)),s=l.slice(y),a=s.length,u&&(h.push(...p.slice(0,_)),p=i[c].slice(y))}return d.push(...s),u?(h.push(...p),[d,h]):[d,[]]}collateWordTimestamps(t,i,s){let[a,d,u]=this.combineTokensIntoWords(t,s),h=[];for(let p=0;p<a.length;++p){const c=u[p];h.push({text:a[p],timestamp:[i[c.at(0)][0],i[c.at(-1)][1]]})}return h}combineTokensIntoWords(t,i,s=`"'“¡¿([{-`,a=`"'.。,，!！?？:：”)]}、`){i=i??"english";let d,u,h;return["chinese","japanese","thai","lao","myanmar"].includes(i)?[d,u,h]=this.splitTokensOnUnicode(t):[d,u,h]=this.splitTokensOnSpaces(t),this.mergePunctuations(d,u,h,s,a)}decode(t,i){let s;return i&&i.decode_with_timestamps?s=this.decodeWithTimestamps(t,i):s=super.decode(t,i),s}decodeWithTimestamps(t,i){const s=(i==null?void 0:i.time_precision)??.02,a=Array.from(this.all_special_ids).at(-1)+1;let d=[[]];for(let u of t)if(u>=a){let h=(u-a)*s;h=round(h,2),d.push(`<|${h}|>`),d.push([])}else d[d.length-1].push(u);return d=d.map(u=>typeof u=="string"?u:super.decode(u,i)),d.join("")}splitTokensOnUnicode(t){const i=this.decode(t,{decode_with_timestamps:!0}),s="�";let a=[],d=[],u=[],h=[],p=[],c=0;for(let l=0;l<t.length;++l){const n=t[l];h.push(n),p.push(l);const e=this.decode(h,{decode_with_timestamps:!0});(!e.includes(s)||i[c+e.indexOf(s)]===s)&&(a.push(e),d.push(h),u.push(p),h=[],p=[],c+=e.length)}return[a,d,u]}splitTokensOnSpaces(t){let[i,s,a]=this.splitTokensOnUnicode(t),d=[],u=[],h=[];const p=new RegExp(`[${PUNCTUATION_REGEX}]`);for(let c=0;c<i.length;++c){const l=i[c],n=s[c],e=a[c],r=n[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),o=l.startsWith(" "),f=l.trim(),g=p.test(f);if(r||o||g||d.length===0)d.push(l),u.push(n),h.push(e);else{const b=d.length-1;d[b]+=l,u[b].push(...n),h[b].push(...e)}}return[d,u,h]}mergePunctuations(t,i,s,a,d){let u=structuredClone(t),h=structuredClone(i),p=structuredClone(s),c=u.length-2,l=u.length-1;for(;c>=0;)u[c].startsWith(" ")&&a.includes(u[c].trim())?(u[l]=u[c]+u[l],h[l]=mergeArrays(h[c],h[l]),p[l]=mergeArrays(p[c],p[l]),u[c]="",h[c]=[],p[c]=[]):l=c,--c;for(c=0,l=1;l<u.length;)!u[c].endsWith(" ")&&d.includes(u[l])?(u[c]+=u[l],h[c]=mergeArrays(h[c],h[l]),p[c]=mergeArrays(p[c],p[l]),u[l]="",h[l]=[],p[l]=[]):c=l,++l;return[u.filter(n=>n),h.filter(n=>n.length>0),p.filter(n=>n.length>0)]}get_decoder_prompt_ids({language:t=null,task:i=null,no_timestamps:s=!0}={}){let a=[];if(t){t=t.toLowerCase();let d=WHISPER_TO_LANGUAGE_CODE_MAPPING.get(t);if(d===void 0)if(WHISPER_LANGUAGE_MAPPING.has(t))d=t;else{const p=t.length===2?WHISPER_LANGUAGE_MAPPING.keys():WHISPER_LANGUAGE_MAPPING.values();throw new Error(`Language "${t}" is not supported. Must be one of: ${JSON.stringify(p)}`)}let u=this.model.tokens_to_ids.get(`<|${d}|>`);if(u===void 0)throw new Error(`Unable to find language "${d}" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`);a.push(u)}else a.push(null);if(i){if(i=i.toLowerCase(),i!=="transcribe"&&i!=="translate")throw new Error(`Task "${i}" is not supported. Must be one of: ["transcribe", "translate"]`);let d=this.model.tokens_to_ids.get(`<|${i}|>`);if(d===void 0)throw new Error(`Unable to find task "${i}" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`);a.push(d)}else a.push(null);if(s){let d=this.model.tokens_to_ids.get("<|notimestamps|>");if(d===void 0)throw new Error('Unable to find "<|notimestamps|>" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.');a.push(d)}return a.map((d,u)=>[u+1,d]).filter(d=>d[1]!==null)}}class CodeGenTokenizer extends PreTrainedTokenizer{}class CLIPTokenizer extends PreTrainedTokenizer{}class MarianTokenizer extends PreTrainedTokenizer{constructor(t,i){super(t,i),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(s=>this.languageRegex.test(s)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(t){if(t===null)return null;let[i,...s]=t.trim().split(this.languageRegex);if(s.length===0)return super._encode_text(i);if(s.length===2){let[a,d]=s;return this.supported_language_codes.includes(a)||console.warn(`Unsupported language code "${a}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),mergeArrays([a],super._encode_text(d))}}}class CharTrie{constructor(){this.root=CharTrieNode.default()}extend(t){for(let i of t)this.push(i)}push(t){let i=this.root;for(let s of t){let a=i.children.get(s);a===void 0&&(a=CharTrieNode.default(),i.children.set(s,a)),i=a}i.isLeaf=!0}*commonPrefixSearch(t){let i=this.root,s="";for(let a=0;a<t.length&&i!==void 0;++a){const d=t[a];s+=d,i=i.children.get(d),i!==void 0&&i.isLeaf&&(yield s)}}}class CharTrieNode{constructor(t,i){this.isLeaf=t,this.children=i}static default(){return new CharTrieNode(!1,new Map)}}class TokenLattice{constructor(t,i,s){this.sentence=t,this.len=t.length,this.bosTokenId=i,this.eosTokenId=s,this.nodes=[],this.beginNodes=new Array(this.len+1),this.endNodes=new Array(this.len+1);for(let u=0;u<this.len+1;++u)this.beginNodes[u]=[],this.endNodes[u]=[];const a=new TokenLatticeNode(this.bosTokenId,0,0,0,0),d=new TokenLatticeNode(this.eosTokenId,1,this.len,0,0);this.nodes.push(a.clone()),this.nodes.push(d.clone()),this.beginNodes[this.len].push(d),this.endNodes[0].push(a)}insert(t,i,s,a){const d=this.nodes.length,u=new TokenLatticeNode(a,d,t,i,s);this.beginNodes[t].push(u),this.endNodes[t+i].push(u),this.nodes.push(u)}viterbi(){const t=this.len;let i=0;for(;i<=t;){if(this.beginNodes[i].length==0)return[];for(let h of this.beginNodes[i]){h.prev=null;let p=0,c=null;for(let l of this.endNodes[i]){const n=l.backtraceScore+h.score;(c===null||n>p)&&(c=l.clone(),p=n)}if(c!==null)h.prev=c,h.backtraceScore=p;else return[]}++i}const s=[],d=this.beginNodes[t][0].prev;if(d===null)return[];let u=d.clone();for(;u.prev!==null;)s.push(u.clone()),u=u.clone().prev.clone();return s.reverse(),s}piece(t){return this.sentence.slice(t.pos,t.pos+t.length)}tokens(){return this.viterbi().map(i=>this.piece(i))}tokenIds(){return this.viterbi().map(i=>i.tokenId)}}class TokenLatticeNode{constructor(t,i,s,a,d){this.tokenId=t,this.nodeId=i,this.pos=s,this.length=a,this.score=d,this.prev=null,this.backtraceScore=0}clone(){const t=new TokenLatticeNode(this.tokenId,this.nodeId,this.pos,this.length,this.score);return t.prev=this.prev,t.backtraceScore=this.backtraceScore,t}}class AutoTokenizer{static async from_pretrained(t,{quantized:i=!0,progress_callback:s=null,config:a=null,cache_dir:d=null,local_files_only:u=!1,revision:h="main"}={}){let[p,c]=await loadTokenizer(t,{quantized:i,progress_callback:s,config:a,cache_dir:d,local_files_only:u,revision:h}),l=c.tokenizer_class.replace(/Fast$/,""),n=this.TOKENIZER_CLASS_MAPPING[l];return n||(console.warn(`Unknown tokenizer class "${l}", attempting to construct from base class.`),n=PreTrainedTokenizer),new n(p,c)}}Ee(AutoTokenizer,"TOKENIZER_CLASS_MAPPING",{T5Tokenizer,DistilBertTokenizer,BertTokenizer,MobileBertTokenizer,SqueezeBertTokenizer,AlbertTokenizer,GPT2Tokenizer,BartTokenizer,RobertaTokenizer,WhisperTokenizer,CodeGenTokenizer,CLIPTokenizer,MarianTokenizer,BloomTokenizer,NllbTokenizer,LlamaTokenizer,XLMRobertaTokenizer,MPNetTokenizer,FalconTokenizer,GPTNeoXTokenizer,PreTrainedTokenizer});async function loadConfig(m,t){return await getModelJSON(m,"config.json",!0,t)}class PretrainedConfig{constructor(t){this.model_type=null,this.is_encoder_decoder=!1,Object.assign(this,t)}static async from_pretrained(t,{progress_callback:i=null,config:s=null,cache_dir:a=null,local_files_only:d=!1,revision:u="main"}={}){let h=s??await loadConfig(t,{progress_callback:i,config:s,cache_dir:a,local_files_only:d,revision:u});return new this(h)}}class AutoConfig{static async from_pretrained(...t){return PretrainedConfig.from_pretrained(...t)}}class LogitsProcessorList extends Callable{constructor(){super(),this.processors=[]}push(t){this.processors.push(t)}extend(t){this.processors.push(...t)}_call(t,i){for(let s of i)this.processors.forEach(a=>a(t,s))}[Symbol.iterator](){return this.processors.values()}}class LogitsProcessor extends Callable{_call(t,i){throw Error("`_call` should be implemented in a subclass")}}class ForceTokensLogitsProcessor extends LogitsProcessor{constructor(t){super(),this.force_token_map=Object.fromEntries(t??[])}_call(t,i){let s=this.force_token_map[t.length];return exists(s)&&(i.data.fill(-1/0),i.data[s]=0),i}}class ForcedBOSTokenLogitsProcessor extends LogitsProcessor{constructor(t){super(),this.bos_token_id=t}_call(t,i){return t.length===1&&(i.data.fill(-1/0),i.data[this.bos_token_id]=0),i}}class ForcedEOSTokenLogitsProcessor extends LogitsProcessor{constructor(t,i){super(),this.max_length=t,this.forced_eos_token_id=i}_call(t,i){}}class SuppressTokensAtBeginLogitsProcessor extends LogitsProcessor{constructor(t,i){super(),this.begin_suppress_tokens=t,this.begin_index=i}_call(t,i){if(t.length===this.begin_index)for(let s of this.begin_suppress_tokens)i.data[s]=-1/0;return i}}class WhisperTimeStampLogitsProcessor extends LogitsProcessor{constructor(t){super(),this.eos_token_id=t.eos_token_id,this.no_timestamps_token_id=t.no_timestamps_token_id,this.timestamp_begin=this.no_timestamps_token_id+1,this.begin_index=(t.forced_decoder_ids||[]).length+2,t.forced_decoder_ids.slice(-1)[0][1]===this.no_timestamps_token_id&&(this.begin_index-=1),this.max_initial_timestamp_index=t.max_initial_timestamp_index}_call(t,i){if(i.data[this.no_timestamps_token_id]=-1/0,t.length===this.begin_index-1)return i.data.fill(-1/0),i.data[this.timestamp_begin]=0,i;const s=t.slice(this.begin_index),a=s.length>=1&&s[s.length-1]>=this.timestamp_begin,d=s.length<2||s[s.length-2]>=this.timestamp_begin;if(a&&(d?i.data.subarray(this.timestamp_begin).fill(-1/0):i.data.subarray(0,this.eos_token_id).fill(-1/0)),t.length===this.begin_index&&this.max_initial_timestamp_index!==null){const c=this.timestamp_begin+this.max_initial_timestamp_index;i.data.subarray(c+1).fill(-1/0)}const u=log_softmax(i.data),h=Math.log(u.subarray(this.timestamp_begin).map(Math.exp).reduce((c,l)=>c+l)),p=max(u.subarray(0,this.timestamp_begin))[0];return h>p&&i.data.subarray(0,this.timestamp_begin).fill(-1/0),i}}class NoRepeatNGramLogitsProcessor extends LogitsProcessor{constructor(t){super(),this.no_repeat_ngram_size=t}getNgrams(t){const i=t.length,s=[];for(let d=0;d<i+1-this.no_repeat_ngram_size;++d){const u=[];for(let h=0;h<this.no_repeat_ngram_size;++h)u.push(t[d+h]);s.push(u)}const a=new Map;for(const d of s){const u=d.slice(0,d.length-1),h=JSON.stringify(u),p=a.get(h)??[];p.push(d[d.length-1]),a.set(h,p)}return a}getGeneratedNgrams(t,i){const s=i.slice(i.length+1-this.no_repeat_ngram_size,i.length);return t.get(JSON.stringify(s))??[]}calcBannedNgramTokens(t){const i=[];if(t.length+1<this.no_repeat_ngram_size)return i;{const s=this.getNgrams(t);return this.getGeneratedNgrams(s,t)}}_call(t,i){const s=this.calcBannedNgramTokens(t);for(const a of s)i.data[a]=-1/0;return i}}class RepetitionPenaltyLogitsProcessor extends LogitsProcessor{constructor(t){super(),this.penalty=t}_call(t,i){for(const s of t)i.data[s]<0?i.data[s]*=this.penalty:i.data[s]/=this.penalty;return i}}class GenerationConfig{constructor(t={}){this.max_length=t.max_length??20,this.max_new_tokens=t.max_new_tokens??null,this.min_length=t.min_length??0,this.min_new_tokens=t.min_new_tokens??null,this.early_stopping=t.early_stopping??!1,this.max_time=t.max_time??null,this.do_sample=t.do_sample??!1,this.num_beams=t.num_beams??1,this.num_beam_groups=t.num_beam_groups??1,this.penalty_alpha=t.penalty_alpha??null,this.use_cache=t.use_cache??!0,this.temperature=t.temperature??1,this.top_k=t.top_k??50,this.top_p=t.top_p??1,this.typical_p=t.typical_p??1,this.epsilon_cutoff=t.epsilon_cutoff??0,this.eta_cutoff=t.eta_cutoff??0,this.diversity_penalty=t.diversity_penalty??0,this.repetition_penalty=t.repetition_penalty??1,this.encoder_repetition_penalty=t.encoder_repetition_penalty??1,this.length_penalty=t.length_penalty??1,this.no_repeat_ngram_size=t.no_repeat_ngram_size??0,this.bad_words_ids=t.bad_words_ids??null,this.force_words_ids=t.force_words_ids??null,this.renormalize_logits=t.renormalize_logits??!1,this.constraints=t.constraints??null,this.forced_bos_token_id=t.forced_bos_token_id??null,this.forced_eos_token_id=t.forced_eos_token_id??null,this.remove_invalid_values=t.remove_invalid_values??!1,this.exponential_decay_length_penalty=t.exponential_decay_length_penalty??null,this.suppress_tokens=t.suppress_tokens??null,this.begin_suppress_tokens=t.begin_suppress_tokens??null,this.forced_decoder_ids=t.forced_decoder_ids??null,this.num_return_sequences=t.num_return_sequences??1,this.output_attentions=t.output_attentions??!1,this.output_hidden_states=t.output_hidden_states??!1,this.output_scores=t.output_scores??!1,this.return_dict_in_generate=t.return_dict_in_generate??!1,this.pad_token_id=t.pad_token_id??null,this.bos_token_id=t.bos_token_id??null,this.eos_token_id=t.eos_token_id??null,this.encoder_no_repeat_ngram_size=t.encoder_no_repeat_ngram_size??0,this.decoder_start_token_id=t.decoder_start_token_id??null,this.generation_kwargs=t.generation_kwargs??{}}}class Sampler extends Callable{constructor(t){super(),this.generation_config=t}_call(t,i=-1){return this.sample(t,i)}sample(t,i){throw Error("sample should be implemented in subclasses.")}getLogits(t,i){let s=t.dims.at(-1),a=t.data;if(i===-1)a=a.slice(-s);else{let d=i*s;a=a.slice(d,d+s)}return this.generation_config.temperature>0&&(a=a.map(d=>d/this.generation_config.temperature)),a}randomSelect(t){let i=t.reduce((a,d)=>a+d,0),s=Math.random()*i;for(let a=0;a<t.length;++a)if(s-=t[a],s<=0)return a;return 0}static getSampler(t){if(t.do_sample)return new MultinomialSampler(t);if(t.num_beams>1)return new BeamSearchSampler(t);if(t.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${t.num_return_sequences}.`);return new GreedySampler(t)}}class GreedySampler extends Sampler{sample(t,i=-1){let s=this.getLogits(t,i);return[[max(s)[1],0]]}}class MultinomialSampler extends Sampler{sample(t,i=-1){let s=t.dims.at(-1);this.generation_config.top_k>0&&(s=Math.min(this.generation_config.top_k,s));const a=this.getLogits(t,i),d=getTopItems(a,s),u=softmax(d.map(h=>h[1]));return Array.from({length:this.generation_config.num_beams},()=>{const h=this.randomSelect(u);return[d[h][0],Math.log(u[h])]})}}class BeamSearchSampler extends Sampler{sample(t,i=-1){let s=t.dims.at(-1);this.generation_config.top_k>0&&(s=Math.min(this.generation_config.top_k,s));const a=this.getLogits(t,i),d=getTopItems(a,s),u=softmax(d.map(h=>h[1]));return Array.from({length:this.generation_config.num_beams},(h,p)=>[d[p][0],Math.log(u[p])])}}const{InferenceSession,Tensor:ONNXTensor}=ONNX;class ModelType{}class EncoderOnlyModelType extends ModelType{}class EncoderDecoderModelType extends ModelType{}class Seq2SeqModelType extends EncoderDecoderModelType{}class DecoderOnlyModelType extends ModelType{}const MODEL_TYPE_MAPPING=new Map,MODEL_CLASS_MAPPING=new Map;async function forward(m,t){return MODEL_TYPE_MAPPING.get(m.constructor.name)===DecoderOnlyModelType?await decoderForward(m,t):await encoderForward(m,t)}async function constructSession(m,t,i){let s=`onnx/${t}${i.quantized?"_quantized":""}.onnx`,a=await getModelFile(m,s,!0,i);try{return await InferenceSession.create(a,{executionProviders})}catch(d){if(executionProviders.length===1&&executionProviders[0]==="wasm")throw d;return console.warn(d),console.warn("Something went wrong during model construction (most likely a missing operation). Using `wasm` as a fallback. "),await InferenceSession.create(a,{executionProviders:["wasm"]})}}async function validateInputs(m,t){const i={},s=[];for(let u of m.inputNames)t[u]===void 0?s.push(u):i[u]=t[u];if(s.length>0)throw new Error(`An error occurred during model execution: "Missing the following inputs: ${s.join(", ")}.`);const a=Object.keys(t).length,d=m.inputNames.length;if(a>d){let u=Object.keys(t).filter(h=>!m.inputNames.includes(h));console.warn(`WARNING: Too many inputs were provided (${a} > ${d}). The following inputs will be ignored: "${u.join(", ")}".`)}return i}async function sessionRun(m,t){const i=await validateInputs(m,t);try{let s=await m.run(i);return s=replaceTensors(s),s}catch(s){throw console.error(`An error occurred during model execution: "${s}".`),console.error("Inputs given to model:",i),s}}function replaceTensors(m){for(let t in m)m[t]instanceof ONNXTensor?m[t]=new Tensor(m[t]):typeof m[t]=="object"&&replaceTensors(m[t]);return m}function toI64Tensor(m){if(m instanceof Tensor)return m;if(m.length===0)throw Error("items must be non-empty");if(Array.isArray(m[0])){if(m.some(t=>t.length!==m[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new Tensor("int64",BigInt64Array.from(m.flat().map(t=>BigInt(t))),[m.length,m[0].length])}else return new Tensor("int64",BigInt64Array.from(m.map(t=>BigInt(t))),[1,m.length])}function prepareAttentionMask(m,t){let i=m.config.pad_token_id??null,s=m.config.eos_token_id??null;isIntegralNumber(s)&&(s=[s]);let a=t.indexOf(i)!==-1,d=s===null||!s.includes(i);if(a&&d){let u=BigInt64Array.from(t.data.map(h=>h!=i));return new Tensor("int64",u,t.dims)}else return new Tensor("int64",new BigInt64Array(t.data.length).fill(1n),t.dims)}function boolTensor(m){return new Tensor("bool",[m],[1])}async function seq2seqForward(m,t,{add_decoder_pkv:i=!0}={}){let{encoder_outputs:s,past_key_values:a}=t;s||(s=(await encoderForward(m,t)).last_hidden_state);let d={input_ids:t.decoder_input_ids,encoder_hidden_states:s,use_cache_branch:boolTensor(!!a)};m.decoder_merged_session.inputNames.includes("encoder_attention_mask")&&(d.encoder_attention_mask=t.attention_mask),m.addPastKeyValues(d,a,i);const u=await sessionRun(m.decoder_merged_session,d);let h=u.logits;a=m.getPastKeyValues(u,a);const p=m.getAttentions(u);return new Seq2SeqLMOutput({logits:h,past_key_values:a,encoder_outputs:s,...p})}function seq2seqStartBeams(m,t,i,s=!0){let a=[],d=0,u=m.config.decoder_start_token_id;Array.isArray(u)||(u=[u]);for(let h of t){h.dims=[1,...h.dims];let p={inputs:h,encoder_outputs:null,prev_model_outputs:null,output_token_ids:u,done:!1,score:0,id:d++};s&&(p.attention_mask=prepareAttentionMask(m,h)),a.push(p)}return a}async function seq2seqRunBeam(m,t,{input_name:i="input_ids"}={}){var d;let s={[i]:t.inputs,decoder_input_ids:toI64Tensor(t.output_token_ids.slice(-1)),encoder_outputs:t.encoder_outputs,past_key_values:(d=t.prev_model_outputs)==null?void 0:d.past_key_values};t.attention_mask&&(s.attention_mask=t.attention_mask);let a=await m.forward(s);return t.prev_model_outputs=a,t.encoder_outputs=a.encoder_outputs,a}async function encoderForward(m,t){let i={};for(let s of m.session.inputNames)i[s]=t[s];return await sessionRun(m.session,i)}async function decoderForward(m,t){let{input_ids:i,past_key_values:s,attention_mask:a}=t,d={input_ids:i,attention_mask:a??prepareAttentionMask(m,i),use_cache_branch:boolTensor(s!==null)};m.addPastKeyValues(d,s);let u=await sessionRun(m.session,d),h=u.logits;return s=m.getPastKeyValues(u,s),{logits:h,past_key_values:s}}function decoderStartBeams(m,t,i,s){let a=[],d=0;for(let u of t){let h=u.tolist().map(Number);u.dims=[1,...u.dims];let p;s?(p=s[d],p.dims=[1,...p.dims]):p=prepareAttentionMask(m,u);let c={input:u,model_input_ids:u,attention_mask:p,prev_model_outputs:null,output_token_ids:h,num_output_tokens:i,done:!1,score:0,id:d++};a.push(c)}return a}async function decoderRunBeam(m,t){var d;let i=new BigInt64Array(t.output_token_ids.length).fill(1n),s={input_ids:t.model_input_ids,attention_mask:new Tensor("int64",i,[1,i.length]),past_key_values:(d=t.prev_model_outputs)==null?void 0:d.past_key_values},a=await m.forward(s);return t.prev_model_outputs=a,a}function decoderUpdatebeam(m,t){m.output_token_ids=[...m.output_token_ids,t],m.model_input_ids=new Tensor("int64",[BigInt(t)],[1,1])}class PreTrainedModel extends Callable{constructor(t,i){super(),this.config=t,this.session=i}async dispose(){let t=[];for(let i of Object.keys(this)){let s=this[i];s instanceof InferenceSession&&t.push(s.handler.dispose())}return await Promise.all(t)}static async from_pretrained(t,{quantized:i=!0,progress_callback:s=null,config:a=null,cache_dir:d=null,local_files_only:u=!1,revision:h="main"}={}){let p={quantized:i,progress_callback:s,config:a,cache_dir:d,local_files_only:u,revision:h},c=MODEL_TYPE_MAPPING.get(this.name),l;if(c===DecoderOnlyModelType)l=await Promise.all([AutoConfig.from_pretrained(t,p),constructSession(t,"decoder_model_merged",p)]);else if(c===Seq2SeqModelType)l=await Promise.all([AutoConfig.from_pretrained(t,p),constructSession(t,"encoder_model",p),constructSession(t,"decoder_model_merged",p),getModelJSON(t,"generation_config.json",!1,p)]);else if(c===EncoderDecoderModelType)l=await Promise.all([AutoConfig.from_pretrained(t,p),constructSession(t,"encoder_model",p),constructSession(t,"decoder_model_merged",p)]);else if(c===EncoderOnlyModelType)l=await Promise.all([AutoConfig.from_pretrained(t,p),constructSession(t,"model",p)]);else throw console.warn("Malformed class definition.",this),Error(`Unable to load model: ${t}. Please report this bug at https://github.com/xenova/transformers.js/issues/new/choose.`);return new this(...l)}async _call(t){return await this.forward(t)}async forward(t){return await forward(this,t)}_get_logits_processor(t,i,s=null){const a=new LogitsProcessorList;if(t.repetition_penalty!==null&&t.repetition_penalty!==1&&a.push(new RepetitionPenaltyLogitsProcessor(t.repetition_penalty)),t.no_repeat_ngram_size!==null&&t.no_repeat_ngram_size>0&&a.push(new NoRepeatNGramLogitsProcessor(t.no_repeat_ngram_size)),t.forced_bos_token_id!==null&&a.push(new ForcedBOSTokenLogitsProcessor(t.forced_bos_token_id)),t.forced_eos_token_id!==null&&a.push(new ForcedEOSTokenLogitsProcessor(t.max_length,t.forced_eos_token_id)),t.begin_suppress_tokens!==null){let d=i>1||t.forced_bos_token_id===null?i:i+1;t.forced_decoder_ids!==null&&(d+=t.forced_decoder_ids[t.forced_decoder_ids.length-1][0]),a.push(new SuppressTokensAtBeginLogitsProcessor(t.begin_suppress_tokens,d))}return t.forced_decoder_ids!==null&&a.push(new ForceTokensLogitsProcessor(t.forced_decoder_ids)),s!==null&&a.extend(s),a}_get_generation_config(t){let i=new GenerationConfig;return"generation_config"in this&&Object.assign(i,this.generation_config),t!==null&&Object.assign(i,t),i}async generate(t,i=null,s=null,{inputs_attention_mask:a=null}={}){if(!(t instanceof Tensor)&&!isTypedArray(t)&&!Array.isArray(t))throw Error(`\`inputs\` must be a Tensor, TypedArray, or Array, but is "${t.constructor.name}".`);let d;if(this.config.is_encoder_decoder)d=0;else if(d=t instanceof Tensor?t.dims[0]:t.length,d===0)throw Error("Must supply a non-empty array of input token ids.");i=this._get_generation_config(i),s=s??new LogitsProcessorList,s=this._get_logits_processor(i,d,s);let u=1;const h=u+(i.max_new_tokens??1/0),p=Number.isInteger(i.max_length)&&(i.max_new_tokens??null)===null;let c=Sampler.getSampler(i),l=this.getStartBeams(t,u,a);for(;l.some(o=>!o.done)&&u<h;){let o=[];for(let f of l){if(f.done){o.push(f);continue}if(p&&f.output_token_ids.length>=i.max_length){f.done=!0,o.push(f);continue}let g=await this.runBeam(f);i.output_attentions&&this.addAttentionsToBeam(f,g),i.output_scores;let b=g.logits.slice(null,-1,null);s(f.output_token_ids,b);let _=c(b);for(let[y,w]of _){let v={...f};this.updateBeam(v,y),v.score+=w,y===this.config.eos_token_id&&(v.done=!0),o.push(v)}}++u,o=this.groupBeams(o).map(f=>f.sort((g,b)=>b.score-g.score).slice(0,i.num_beams)),l=o.flat(),i.callback_function&&i.callback_function(l)}const n=this.groupBeams(l),e=o=>n.map(f=>i.num_return_sequences>1?f.slice(0,i.num_return_sequences).map(g=>g[o]):[f[0][o]]).flat(),r=e("output_token_ids");if(i.return_dict_in_generate){const o=e("decoder_attentions"),f=e("cross_attentions");return{sequences:r,decoder_attentions:o,cross_attentions:f}}else return r}addAttentionsToBeam(t,i){if(this.config.is_encoder_decoder){if(!i.cross_attentions||i.cross_attentions.length===0)throw Error("`output_attentions` is true, but the model did not produce cross-attentions. This is most likely because the model was not exported with `output_attentions=True`.");t.cross_attentions||(t.cross_attentions=[]),t.cross_attentions.push(i.cross_attentions)}if(!i.decoder_attentions||i.decoder_attentions.length===0)throw Error("`output_attentions` is true, but the model did not produce decoder-attentions. This is most likely because the model was not exported with `output_attentions=True`.");t.decoder_attentions||(t.decoder_attentions=[]),t.decoder_attentions.push(i.decoder_attentions)}groupBeams(t){const i=Object.create(null);for(const s of t)i[s.id]===void 0?i[s.id]=[s]:i[s.id].push(s);return Object.values(i)}getPastKeyValues(t,i){const s=Object.create(null);for(const a in t)if(a.startsWith("present")){let d=a.replace("present","past_key_values");i&&a.includes("encoder")?s[d]=i[d]:s[d]=t[a]}return s}getAttentions(t){const i=Object.create(null);for(const s of["cross_attentions","decoder_attentions"]){const a=[];for(const d in t)if(d.startsWith(s)){const u=d.split(".").pop();a[u]=t[d]}i[s]=a}return i}addPastKeyValues(t,i,s=!1){if(i)Object.assign(t,i);else if(s){let a=[1,this.num_encoder_heads,0,this.encoder_dim_kv];for(let u=0;u<this.num_encoder_layers;++u)t[`past_key_values.${u}.encoder.key`]=new Tensor("float32",[],a),t[`past_key_values.${u}.encoder.value`]=new Tensor("float32",[],a);let d=[1,this.num_decoder_heads,0,this.decoder_dim_kv];for(let u=0;u<this.num_decoder_layers;++u)t[`past_key_values.${u}.decoder.key`]=new Tensor("float32",[],d),t[`past_key_values.${u}.decoder.value`]=new Tensor("float32",[],d)}else{let a=[1,this.num_heads,0,this.dim_kv];for(let d=0;d<this.num_layers;++d)t[`past_key_values.${d}.key`]=new Tensor("float32",[],a),t[`past_key_values.${d}.value`]=new Tensor("float32",[],a)}}}class ModelOutput{}class BertPreTrainedModel extends PreTrainedModel{}class BertModel extends BertPreTrainedModel{}class BertForMaskedLM extends BertPreTrainedModel{async _call(t){return new MaskedLMOutput(await super._call(t))}}class BertForSequenceClassification extends BertPreTrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class BertForTokenClassification extends BertPreTrainedModel{async _call(t){return new TokenClassifierOutput(await super._call(t))}}class BertForQuestionAnswering extends BertPreTrainedModel{async _call(t){return new QuestionAnsweringModelOutput(await super._call(t))}}class DistilBertPreTrainedModel extends PreTrainedModel{}class DistilBertModel extends DistilBertPreTrainedModel{}class DistilBertForSequenceClassification extends DistilBertPreTrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class DistilBertForTokenClassification extends DistilBertPreTrainedModel{async _call(t){return new TokenClassifierOutput(await super._call(t))}}class DistilBertForQuestionAnswering extends DistilBertPreTrainedModel{async _call(t){return new QuestionAnsweringModelOutput(await super._call(t))}}class DistilBertForMaskedLM extends DistilBertPreTrainedModel{async _call(t){return new MaskedLMOutput(await super._call(t))}}class MobileBertPreTrainedModel extends PreTrainedModel{}class MobileBertModel extends MobileBertPreTrainedModel{}class MobileBertForMaskedLM extends MobileBertPreTrainedModel{async _call(t){return new MaskedLMOutput(await super._call(t))}}class MobileBertForSequenceClassification extends MobileBertPreTrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class MobileBertForQuestionAnswering extends MobileBertPreTrainedModel{async _call(t){return new QuestionAnsweringModelOutput(await super._call(t))}}class SqueezeBertPreTrainedModel extends PreTrainedModel{}class SqueezeBertModel extends SqueezeBertPreTrainedModel{}class SqueezeBertForMaskedLM extends SqueezeBertPreTrainedModel{async _call(t){return new MaskedLMOutput(await super._call(t))}}class SqueezeBertForSequenceClassification extends SqueezeBertPreTrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class SqueezeBertForQuestionAnswering extends SqueezeBertPreTrainedModel{async _call(t){return new QuestionAnsweringModelOutput(await super._call(t))}}class AlbertPreTrainedModel extends PreTrainedModel{}class AlbertModel extends AlbertPreTrainedModel{}class AlbertForSequenceClassification extends AlbertPreTrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class AlbertForQuestionAnswering extends AlbertPreTrainedModel{async _call(t){return new QuestionAnsweringModelOutput(await super._call(t))}}class AlbertForMaskedLM extends AlbertPreTrainedModel{async _call(t){return new MaskedLMOutput(await super._call(t))}}class T5PreTrainedModel extends PreTrainedModel{}class T5Model extends T5PreTrainedModel{async generate(...t){throw Error("The current model class (T5Model) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'T5ForConditionalGeneration'}")}}class T5ForConditionalGeneration extends T5PreTrainedModel{constructor(t,i,s,a){super(t,i),this.decoder_merged_session=s,this.generation_config=a,this.num_decoder_layers=this.config.num_decoder_layers,this.num_decoder_heads=this.config.num_heads,this.decoder_dim_kv=this.config.d_kv,this.num_encoder_layers=this.config.num_layers,this.num_encoder_heads=this.config.num_heads,this.encoder_dim_kv=this.config.d_kv}getStartBeams(t,i,...s){return seq2seqStartBeams(this,t)}async runBeam(t){return await seq2seqRunBeam(this,t)}updateBeam(t,i){t.output_token_ids=[...t.output_token_ids,i]}async forward(t){return await seq2seqForward(this,t)}}class MT5PreTrainedModel extends PreTrainedModel{}class MT5Model extends MT5PreTrainedModel{async generate(...t){throw Error("The current model class (MT5Model) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'MT5ForConditionalGeneration'}")}}class MT5ForConditionalGeneration extends MT5PreTrainedModel{constructor(t,i,s,a){super(t,i),this.decoder_merged_session=s,this.generation_config=a,this.num_decoder_layers=this.config.num_decoder_layers,this.num_decoder_heads=this.config.num_heads,this.decoder_dim_kv=this.config.d_kv,this.num_encoder_layers=this.config.num_layers,this.num_encoder_heads=this.config.num_heads,this.encoder_dim_kv=this.config.d_kv}getStartBeams(t,i,...s){return seq2seqStartBeams(this,t)}async runBeam(t){return await seq2seqRunBeam(this,t)}updateBeam(t,i){t.output_token_ids=[...t.output_token_ids,i]}async forward(t){return await seq2seqForward(this,t)}}class BartPretrainedModel extends PreTrainedModel{}class BartModel extends BartPretrainedModel{async generate(...t){throw Error("The current model class (BartModel) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'BartForConditionalGeneration'}")}}class BartForConditionalGeneration extends BartPretrainedModel{constructor(t,i,s,a){super(t,i),this.decoder_merged_session=s,this.generation_config=a,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}getStartBeams(t,i,...s){return seq2seqStartBeams(this,t)}async runBeam(t){return await seq2seqRunBeam(this,t)}updateBeam(t,i){t.output_token_ids=[...t.output_token_ids,i]}async forward(t){return await seq2seqForward(this,t)}}class BartForSequenceClassification extends BartPretrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class RobertaPreTrainedModel extends PreTrainedModel{}class RobertaModel extends RobertaPreTrainedModel{}class RobertaForMaskedLM extends RobertaPreTrainedModel{async _call(t){return new MaskedLMOutput(await super._call(t))}}class RobertaForSequenceClassification extends RobertaPreTrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class RobertaForTokenClassification extends RobertaPreTrainedModel{async _call(t){return new TokenClassifierOutput(await super._call(t))}}class RobertaForQuestionAnswering extends RobertaPreTrainedModel{async _call(t){return new QuestionAnsweringModelOutput(await super._call(t))}}class XLMRobertaPreTrainedModel extends PreTrainedModel{}class XLMRobertaModel extends XLMRobertaPreTrainedModel{}class XLMRobertaForMaskedLM extends XLMRobertaPreTrainedModel{async _call(t){return new MaskedLMOutput(await super._call(t))}}class XLMRobertaForSequenceClassification extends XLMRobertaPreTrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class XLMRobertaForTokenClassification extends XLMRobertaPreTrainedModel{async _call(t){return new TokenClassifierOutput(await super._call(t))}}class XLMRobertaForQuestionAnswering extends XLMRobertaPreTrainedModel{async _call(t){return new QuestionAnsweringModelOutput(await super._call(t))}}class WhisperPreTrainedModel extends PreTrainedModel{}class WhisperModel extends WhisperPreTrainedModel{async generate(...t){throw Error("The current model class (WhisperModel) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'WhisperForConditionalGeneration'}")}}class WhisperForConditionalGeneration extends WhisperPreTrainedModel{constructor(t,i,s,a){super(t,i),this.decoder_merged_session=s,this.generation_config=a,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}async generate(t,i=null,s=null){if(i=this._get_generation_config(i),i.return_timestamps??(i.return_timestamps=!1),i.return_timestamps&&(s=[new WhisperTimeStampLogitsProcessor(i)]),i.return_token_timestamps&&(i.output_attentions=!0,i.return_dict_in_generate=!0,i.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),!i.alignment_heads))throw new Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");const a=await super.generate(t,i,s);return i.return_token_timestamps&&i.alignment_heads&&(a.token_timestamps=this._extract_token_timestamps(a,i.alignment_heads)),a}getStartBeams(t,i,...s){return seq2seqStartBeams(this,t,i,!1)}async runBeam(t){return await seq2seqRunBeam(this,t,{input_name:"input_features"})}updateBeam(t,i){t.output_token_ids=[...t.output_token_ids,i]}async forward(t){return await seq2seqForward(this,t)}_extract_token_timestamps(t,i,s=.02){if(!t.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");let a=this.config.median_filter_width;a===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),a=7);const d=t.cross_attentions.map(p=>{let c=Array.from({length:this.config.decoder_layers},(f,g)=>cat(p.map(b=>b[g]),2)),l=stack(i.map(([f,g])=>c[f].slice(null,g)));l=l.transpose(1,0,2,3);let[n,e]=std_mean(l,-2,0,!0),r=l.clone();for(let f=0;f<r.dims[0];++f){let g=r[f];for(let b=0;b<g.dims[0];++b){let _=g[b];const y=n[f][b][0],w=e[f][b][0];for(let v=0;v<_.dims[0];++v){let S=_[v];for(let A=0;A<S.data.length;++A)S.data[A]=(S.data[A]-w.data[A])/y.data[A];S.data.set(medianFilter(S.data,a))}}}return mean(r,1)}),u=[t.sequences.length,t.sequences[0].length],h=new Tensor("float32",new Float32Array(u[0]*u[1]),u);for(let p=0;p<u[0];++p){const c=d[p].neg().squeeze_(0);let[l,n]=dynamicTimeWarping(c),e=Array.from({length:l.length-1},(f,g)=>l[g+1]-l[g]),r=mergeArrays([1],e).map(f=>!!f),o=[];for(let f=0;f<r.length;++f)r[f]&&o.push(n[f]*s);h[p].data.set(o,1)}return h}}class VisionEncoderDecoderModel extends PreTrainedModel{constructor(t,i,s){super(t,i),this.decoder_merged_session=s,this.num_layers=this.config.decoder.n_layer,this.num_heads=this.config.decoder.n_head,this.dim_kv=this.config.decoder.n_embd/this.num_heads}getStartBeams(t,i,...s){return seq2seqStartBeams(this,t)}async runBeam(t){return seq2seqRunBeam(this,t,{input_name:"pixel_values"})}updateBeam(t,i){t.output_token_ids=[...t.output_token_ids,i]}async forward(t){return await seq2seqForward(this,t,{add_decoder_pkv:!1})}}class CLIPPreTrainedModel extends PreTrainedModel{}class CLIPModel extends CLIPPreTrainedModel{}class GPT2PreTrainedModel extends PreTrainedModel{constructor(t,i){super(t,i),this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class GPT2Model extends GPT2PreTrainedModel{async generate(...t){throw Error("The current model class (GPT2Model) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'GPT2LMHeadModel'}")}}class GPT2LMHeadModel extends GPT2PreTrainedModel{getStartBeams(t,i,s){return decoderStartBeams(this,t,i,s)}async runBeam(t){return await decoderRunBeam(this,t)}updateBeam(t,i){return decoderUpdatebeam(t,i)}async forward(t){return await decoderForward(this,t)}}class GPTNeoPreTrainedModel extends PreTrainedModel{constructor(t,i){super(t,i),this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_heads,this.num_layers=this.config.num_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class GPTNeoModel extends GPTNeoPreTrainedModel{async generate(...t){throw Error("The current model class (GPTNeoModel) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'GPTNeoForCausalLM'}")}}class GPTNeoForCausalLM extends GPTNeoPreTrainedModel{getStartBeams(t,i,s){return decoderStartBeams(this,t,i,s)}async runBeam(t){return await decoderRunBeam(this,t)}updateBeam(t,i){return decoderUpdatebeam(t,i)}async forward(t){return await decoderForward(this,t)}}class CodeGenPreTrainedModel extends PreTrainedModel{constructor(t,i){super(t,i),this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class CodeGenModel extends CodeGenPreTrainedModel{async generate(...t){throw Error("The current model class (CodeGenModel) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'CodeGenForCausalLM'}")}}class CodeGenForCausalLM extends CodeGenPreTrainedModel{getStartBeams(t,i,s){return decoderStartBeams(this,t,i,s)}async runBeam(t){return await decoderRunBeam(this,t)}updateBeam(t,i){return decoderUpdatebeam(t,i)}async forward(t){return await decoderForward(this,t)}}class ViTPreTrainedModel extends PreTrainedModel{}class ViTForImageClassification extends ViTPreTrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class MobileViTPreTrainedModel extends PreTrainedModel{}class MobileViTForImageClassification extends MobileViTPreTrainedModel{async _call(t){return new SequenceClassifierOutput(await super._call(t))}}class DetrPreTrainedModel extends PreTrainedModel{}class DetrForObjectDetection extends DetrPreTrainedModel{async _call(t){return new DetrObjectDetectionOutput(await super._call(t))}}class DetrForSegmentation extends DetrPreTrainedModel{async _call(t){return new DetrSegmentationOutput(await super._call(t))}}class DetrObjectDetectionOutput extends ModelOutput{constructor({logits:t,pred_boxes:i}){super(),this.logits=t,this.pred_boxes=i}}class DetrSegmentationOutput extends ModelOutput{constructor({logits:t,pred_boxes:i,pred_masks:s}){super(),this.logits=t,this.pred_boxes=i,this.pred_masks=s}}class SamPreTrainedModel extends PreTrainedModel{}class SamModel extends SamPreTrainedModel{async _call(t){return new SamImageSegmentationOutput(await super._call(t))}}class SamImageSegmentationOutput extends ModelOutput{constructor({iou_scores:t,pred_masks:i}){super(),this.iou_scores=t,this.pred_masks=i}}class MarianPreTrainedModel extends PreTrainedModel{}class MarianModel extends MarianPreTrainedModel{async generate(...t){throw Error("The current model class (MarianModel) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'MarianMTModel'}")}}class MarianMTModel extends MarianPreTrainedModel{constructor(t,i,s,a){super(t,i),this.decoder_merged_session=s,this.generation_config=a,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}getStartBeams(t,i,...s){return seq2seqStartBeams(this,t)}async runBeam(t){return await seq2seqRunBeam(this,t)}updateBeam(t,i){t.output_token_ids=[...t.output_token_ids,i]}async forward(t){return await seq2seqForward(this,t)}}class M2M100PreTrainedModel extends PreTrainedModel{}class M2M100Model extends M2M100PreTrainedModel{async generate(...t){throw Error("The current model class (M2M100Model) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'M2M100ForConditionalGeneration'}")}}class M2M100ForConditionalGeneration extends M2M100PreTrainedModel{constructor(t,i,s,a){super(t,i),this.decoder_merged_session=s,this.generation_config=a,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}getStartBeams(t,i,...s){return seq2seqStartBeams(this,t)}async runBeam(t){return await seq2seqRunBeam(this,t)}updateBeam(t,i){t.output_token_ids=[...t.output_token_ids,i]}async forward(t){return await seq2seqForward(this,t)}}class PretrainedMixin{static async from_pretrained(t,{quantized:i=!0,progress_callback:s=null,config:a=null,cache_dir:d=null,local_files_only:u=!1,revision:h="main"}={}){let p={quantized:i,progress_callback:s,config:a,cache_dir:d,local_files_only:u,revision:h};if(a=await AutoConfig.from_pretrained(t,p),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);let c;for(let l of this.MODEL_CLASS_MAPPINGS)if(c=l.get(a.model_type),!!c)return await c.from_pretrained(t,p);if(this.BASE_IF_FAIL)return console.warn(`Unknown model class "${a.model_type}", attempting to construct from base class.`),await PreTrainedModel.from_pretrained(t,p);throw Error(`Unsupported model type: ${a.model_type}`)}}Ee(PretrainedMixin,"MODEL_CLASS_MAPPINGS",null),Ee(PretrainedMixin,"BASE_IF_FAIL",!1);const MODEL_MAPPING_NAMES_ENCODER_ONLY=new Map([["bert",BertModel],["albert",AlbertModel],["distilbert",DistilBertModel],["roberta",RobertaModel],["xlm-roberta",XLMRobertaModel],["clip",CLIPModel],["mobilebert",MobileBertModel],["squeezebert",SqueezeBertModel],["sam",SamModel]]),MODEL_MAPPING_NAMES_ENCODER_DECODER=new Map([["t5",T5Model],["mt5",MT5Model],["bart",BartModel],["marian",MarianModel],["whisper",WhisperModel],["m2m_100",M2M100Model]]),MODEL_MAPPING_NAMES_DECODER_ONLY=new Map([["gpt2",GPT2Model],["gpt_neo",GPTNeoModel],["codegen",CodeGenModel]]),MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES=new Map([["bert",BertForSequenceClassification],["albert",AlbertForSequenceClassification],["distilbert",DistilBertForSequenceClassification],["roberta",RobertaForSequenceClassification],["xlm-roberta",XLMRobertaForSequenceClassification],["bart",BartForSequenceClassification],["mobilebert",MobileBertForSequenceClassification],["squeezebert",SqueezeBertForSequenceClassification]]),MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES=new Map([["bert",BertForTokenClassification],["distilbert",DistilBertForTokenClassification],["roberta",RobertaForTokenClassification],["xlm-roberta",XLMRobertaForTokenClassification]]),MODEL_FOR_SEQ_2_SEQ_MAPPING_NAMES=new Map([["t5",T5ForConditionalGeneration],["mt5",MT5ForConditionalGeneration],["bart",BartForConditionalGeneration],["whisper",WhisperForConditionalGeneration],["marian",MarianMTModel],["m2m_100",M2M100ForConditionalGeneration]]),MODEL_WITH_LM_HEAD_MAPPING_NAMES=new Map([["gpt2",GPT2LMHeadModel],["gpt_neo",GPTNeoForCausalLM],["codegen",CodeGenForCausalLM]]),MODEL_FOR_MASKED_LM_MAPPING_NAMES=new Map([["bert",BertForMaskedLM],["albert",AlbertForMaskedLM],["distilbert",DistilBertForMaskedLM],["roberta",RobertaForMaskedLM],["xlm-roberta",XLMRobertaForMaskedLM],["mobilebert",MobileBertForMaskedLM],["squeezebert",SqueezeBertForMaskedLM]]),MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES=new Map([["bert",BertForQuestionAnswering],["albert",AlbertForQuestionAnswering],["distilbert",DistilBertForQuestionAnswering],["roberta",RobertaForQuestionAnswering],["xlm-roberta",XLMRobertaForQuestionAnswering],["mobilebert",MobileBertForQuestionAnswering],["squeezebert",SqueezeBertForQuestionAnswering]]),MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES=new Map([["vision-encoder-decoder",VisionEncoderDecoderModel]]),MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES=new Map([["vit",ViTForImageClassification],["mobilevit",MobileViTForImageClassification]]),MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES=new Map([["detr",DetrForObjectDetection]]),MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES=new Map([["detr",DetrForSegmentation]]),MODEL_FOR_MASK_GENERATION_MAPPING_NAMES=new Map([["sam",SamModel]]),MODEL_CLASS_TYPE_MAPPING=[[MODEL_MAPPING_NAMES_ENCODER_ONLY,EncoderOnlyModelType],[MODEL_MAPPING_NAMES_ENCODER_DECODER,EncoderDecoderModelType],[MODEL_MAPPING_NAMES_DECODER_ONLY,DecoderOnlyModelType],[MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES,EncoderOnlyModelType],[MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES,EncoderOnlyModelType],[MODEL_FOR_SEQ_2_SEQ_MAPPING_NAMES,Seq2SeqModelType],[MODEL_WITH_LM_HEAD_MAPPING_NAMES,DecoderOnlyModelType],[MODEL_FOR_MASKED_LM_MAPPING_NAMES,EncoderOnlyModelType],[MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES,EncoderOnlyModelType],[MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES,EncoderDecoderModelType],[MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,EncoderOnlyModelType],[MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES,EncoderOnlyModelType],[MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES,EncoderOnlyModelType],[MODEL_FOR_MASK_GENERATION_MAPPING_NAMES,EncoderOnlyModelType]];for(let[m,t]of MODEL_CLASS_TYPE_MAPPING)for(let[i,s]of m.entries())MODEL_TYPE_MAPPING.set(s.name,t),MODEL_CLASS_MAPPING.set(s.name,i);class AutoModel extends PretrainedMixin{}Ee(AutoModel,"MODEL_CLASS_MAPPINGS",[MODEL_MAPPING_NAMES_ENCODER_ONLY,MODEL_MAPPING_NAMES_ENCODER_DECODER,MODEL_MAPPING_NAMES_DECODER_ONLY]),Ee(AutoModel,"BASE_IF_FAIL",!0);class AutoModelForSequenceClassification extends PretrainedMixin{}Ee(AutoModelForSequenceClassification,"MODEL_CLASS_MAPPINGS",[MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES]);class AutoModelForTokenClassification extends PretrainedMixin{}Ee(AutoModelForTokenClassification,"MODEL_CLASS_MAPPINGS",[MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES]);class AutoModelForSeq2SeqLM extends PretrainedMixin{}Ee(AutoModelForSeq2SeqLM,"MODEL_CLASS_MAPPINGS",[MODEL_FOR_SEQ_2_SEQ_MAPPING_NAMES]);class AutoModelForCausalLM extends PretrainedMixin{}Ee(AutoModelForCausalLM,"MODEL_CLASS_MAPPINGS",[MODEL_WITH_LM_HEAD_MAPPING_NAMES]);class AutoModelForMaskedLM extends PretrainedMixin{}Ee(AutoModelForMaskedLM,"MODEL_CLASS_MAPPINGS",[MODEL_FOR_MASKED_LM_MAPPING_NAMES]);class AutoModelForQuestionAnswering extends PretrainedMixin{}Ee(AutoModelForQuestionAnswering,"MODEL_CLASS_MAPPINGS",[MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES]);class AutoModelForVision2Seq extends PretrainedMixin{}Ee(AutoModelForVision2Seq,"MODEL_CLASS_MAPPINGS",[MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES]);class AutoModelForImageClassification extends PretrainedMixin{}Ee(AutoModelForImageClassification,"MODEL_CLASS_MAPPINGS",[MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES]);class AutoModelForImageSegmentation extends PretrainedMixin{}Ee(AutoModelForImageSegmentation,"MODEL_CLASS_MAPPINGS",[MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES]);class AutoModelForObjectDetection extends PretrainedMixin{}Ee(AutoModelForObjectDetection,"MODEL_CLASS_MAPPINGS",[MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES]);class Seq2SeqLMOutput extends ModelOutput{constructor({logits:t,past_key_values:i,encoder_outputs:s,decoder_attentions:a=null,cross_attentions:d=null}){super(),this.logits=t,this.past_key_values=i,this.encoder_outputs=s,this.decoder_attentions=a,this.cross_attentions=d}}class SequenceClassifierOutput extends ModelOutput{constructor({logits:t}){super(),this.logits=t}}class TokenClassifierOutput extends ModelOutput{constructor({logits:t}){super(),this.logits=t}}class MaskedLMOutput extends ModelOutput{constructor({logits:t}){super(),this.logits=t}}class QuestionAnsweringModelOutput extends ModelOutput{constructor({start_logits:t,end_logits:i}){super(),this.start_logits=t,this.end_logits=i}}const BROWSER_ENV=typeof self<"u";let createCanvasFunction,ImageDataClass,loadImageFunction;if(BROWSER_ENV)createCanvasFunction=(m,t)=>{if(!self.OffscreenCanvas)throw new Error("OffscreenCanvas not supported by this browser.");return new self.OffscreenCanvas(m,t)},loadImageFunction=self.createImageBitmap,ImageDataClass=self.ImageData;else if(fs)loadImageFunction=async m=>{const i=(await m.metadata()).channels;let{data:s,info:a}=await m.raw().toBuffer({resolveWithObject:!0});const d=new RawImage(new Uint8ClampedArray(s),a.width,a.height,a.channels);return i!==void 0&&i!==a.channels&&d.convert(i),d};else throw new Error("Unable to load image processing library.");const RESAMPLING_MAPPING={0:"nearest",1:"lanczos",2:"bilinear",3:"bicubic",4:"box",5:"hamming"};class RawImage{constructor(t,i,s,a){this._update(t,i,s,a)}static async read(t){if(t instanceof RawImage)return t;if(isString(t)||t instanceof URL)return await this.fromURL(t);throw new Error(`Unsupported input type: ${typeof t}`)}static async fromURL(t){let s=await(await getFile(t)).blob();return this.fromBlob(s)}static async fromBlob(t){if(BROWSER_ENV){let i=await loadImageFunction(t);const s=createCanvasFunction(i.width,i.height).getContext("2d");return s.drawImage(i,0,0),new this(s.getImageData(0,0,i.width,i.height).data,i.width,i.height,4)}else{let i=fs(await t.arrayBuffer());return await loadImageFunction(i)}}grayscale(){if(this.channels===1)return this;let t=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let i=0,s=0;i<this.data.length;i+=this.channels){const a=this.data[i],d=this.data[i+1],u=this.data[i+2];t[s++]=Math.round(.2989*a+.587*d+.114*u)}break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(t,this.width,this.height,1)}rgb(){if(this.channels===3)return this;let t=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let i=0,s=0;i<this.data.length;++i)t[s++]=this.data[i],t[s++]=this.data[i],t[s++]=this.data[i];break;case 4:for(let i=0,s=0;i<this.data.length;i+=4)t[s++]=this.data[i],t[s++]=this.data[i+1],t[s++]=this.data[i+2];break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(t,this.width,this.height,3)}rgba(){if(this.channels===4)return this;let t=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let i=0,s=0;i<this.data.length;++i)t[s++]=this.data[i],t[s++]=this.data[i],t[s++]=this.data[i],t[s++]=255;break;case 3:for(let i=0,s=0;i<this.data.length;i+=3)t[s++]=this.data[i],t[s++]=this.data[i+1],t[s++]=this.data[i+2],t[s++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(t,this.width,this.height,4)}async resize(t,i,{resample:s=2}={}){let a=RESAMPLING_MAPPING[s]??s;if(BROWSER_ENV){let d=this.channels,u=this.toCanvas();const h=createCanvasFunction(t,i).getContext("2d");return h.drawImage(u,0,0,t,i),new RawImage(h.getImageData(0,0,t,i).data,t,i,4).convert(d)}else{let d=fs(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}});switch(a){case"box":case"hamming":(a==="box"||a==="hamming")&&(console.warn(`Resampling method ${a} is not yet supported. Using bilinear instead.`),a="bilinear");case"nearest":case"bilinear":case"bicubic":d=d.affine([t/this.width,0,0,i/this.height],{interpolator:a});break;case"lanczos":d=d.resize({width:t,height:i,fit:"fill",kernel:"lanczos3"});break;default:throw new Error(`Resampling method ${a} is not supported.`)}return await loadImageFunction(d)}}async pad([t,i,s,a]){if(t=Math.max(t,0),i=Math.max(i,0),s=Math.max(s,0),a=Math.max(a,0),t===0&&i===0&&s===0&&a===0)return this;if(BROWSER_ENV){let d=this.channels,u=this.toCanvas(),h=this.width+t+i,p=this.height+s+a;const c=createCanvasFunction(h,p).getContext("2d");return c.drawImage(u,0,0,this.width,this.height,t,s,h,p),new RawImage(c.getImageData(0,0,h,p).data,h,p,4).convert(d)}else{let d=fs(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}}).extend({left:t,right:i,top:s,bottom:a});return await loadImageFunction(d)}}async center_crop(t,i){if(this.width===t&&this.height===i)return this;let s=(this.width-t)/2,a=(this.height-i)/2;if(BROWSER_ENV){let d=this.channels,u=this.toCanvas();const h=createCanvasFunction(t,i).getContext("2d");let p=0,c=0,l=0,n=0;return s>=0?p=s:l=-s,a>=0?c=a:n=-a,h.drawImage(u,p,c,t,i,l,n,t,i),new RawImage(h.getImageData(0,0,t,i).data,t,i,4).convert(d)}else{let d=fs(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}});if(s>=0&&a>=0)d=d.extract({left:Math.floor(s),top:Math.floor(a),width:t,height:i});else if(s<=0&&a<=0){let u=Math.floor(-a),h=Math.floor(-s);d=d.extend({top:u,left:h,right:t-this.width-h,bottom:i-this.height-u})}else{let u=[0,0],h=0;a<0?(u[0]=Math.floor(-a),u[1]=i-this.height-u[0]):h=Math.floor(a);let p=[0,0],c=0;s<0?(p[0]=Math.floor(-s),p[1]=t-this.width-p[0]):c=Math.floor(s),d=d.extend({top:u[0],bottom:u[1],left:p[0],right:p[1]}).extract({left:c,top:h,width:t,height:i})}return await loadImageFunction(d)}}toCanvas(){let t=this.clone().rgba(),i=createCanvasFunction(t.width,t.height),s=new ImageDataClass(t.data,t.width,t.height);return i.getContext("2d").putImageData(s,0,0),i}_update(t,i,s,a=null){return this.data=t,this.width=i,this.height=s,a!==null&&(this.channels=a),this}clone(){return new RawImage(this.data.slice(),this.width,this.height,this.channels)}convert(t){if(this.channels===t)return this;switch(t){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}save(t,i="image/png"){if(!env.useFS)throw new Error("Unable to save the image because filesystem is disabled in this environment.");const a=this.toCanvas().toBuffer(i);fs.writeFileSync(t,a)}}async function read_audio(m,t){if(typeof AudioContext>"u")throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. For more information and some example code, see https://huggingface.co/docs/transformers.js/tutorials/node-audio-processing.");const i=await(await getFile(m)).arrayBuffer(),s=new AudioContext({sampleRate:t});typeof t>"u"&&console.warn(`No sampling rate provided, using default of ${s.sampleRate}Hz.`);const a=await s.decodeAudioData(i);let d;if(a.numberOfChannels===2){const u=Math.sqrt(2);let h=a.getChannelData(0),p=a.getChannelData(1);d=new Float32Array(h.length);for(let c=0;c<a.length;++c)d[c]=u*(h[c]+p[c])/2}else d=a.getChannelData(0);return d}function getMelFilters(m,t,i=128){i=Math.floor(i);const s=Math.floor(1+t/2),a=new Array(i),d=rfftfreq(t,1/m),u=0,c=(45.245640471924965-u)/(i+1),l=0,n=200/3,e=new Array(i+2),r=1e3,o=(r-l)/n,f=Math.log(6.4)/27,g=new Array(e.length);for(let _=0;_<e.length;++_){const y=_*c+u;y>=o?e[_]=r*Math.exp(f*(y-o)):e[_]=l+n*y,g[_]=d.map(w=>e[_]-w)}const b=e.slice(1).map((_,y)=>1/(_-e[y]));for(let _=0;_<a.length;++_){a[_]=new Array(s);const y=b[_],w=b[_+1],v=g[_],S=g[_+2],A=2/(e[_+2]-e[_]);for(let I=0;I<a[_].length;++I){const x=-v[I]*y,E=S[I]*w;a[_][I]=Math.max(0,Math.min(x,E))*A}}return a}class FeatureExtractor extends Callable{constructor(t){super(),this.config=t}}class ImageFeatureExtractor extends FeatureExtractor{constructor(t){super(t),this.image_mean=this.config.image_mean,this.image_std=this.config.image_std,this.resample=this.config.resample??2,this.do_rescale=this.config.do_rescale??!0,this.rescale_factor=this.config.rescale_factor??1/255,this.do_normalize=this.config.do_normalize,this.do_resize=this.config.do_resize,this.size=this.config.size,this.do_center_crop=this.config.do_center_crop,this.crop_size=this.config.crop_size,this.do_convert_rgb=this.config.do_convert_rgb??!0,this.pad_size=this.config.pad_size,this.do_pad=(this.config.do_pad??!1)&&this.pad_size}async preprocess(t){this.do_convert_rgb&&(t=t.rgb());const i=t.width,s=t.height;if(this.do_resize){let c,l;if(Number.isInteger(this.size)?(c=this.size,l=this.config.max_size??c):(c=this.size.shortest_edge,l=this.size.longest_edge),c!==void 0||l!==void 0){const n=c===void 0?1:Math.max(c/i,c/s),e=i*n,r=s*n,o=l===void 0?1:Math.min(l/e,l/r);t=await t.resize(Math.floor(e*o),Math.floor(r*o),{resample:this.resample})}else if(this.size.width!==void 0&&this.size.height!==void 0)t=await t.resize(this.size.width,this.size.height,{resample:this.resample});else throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(this.size)}`)}if(this.do_center_crop){let c,l;Number.isInteger(this.crop_size)?(c=this.crop_size,l=this.crop_size):(c=this.crop_size.width,l=this.crop_size.height),t=await t.center_crop(c,l)}let a=[t.height,t.width];if(this.do_pad){let c=0,l=this.pad_size.width-t.width,n=0,e=this.pad_size.height-t.height;t=await t.pad([c,l,n,e])}const d=Float32Array.from(t.data);if(this.do_rescale)for(let c=0;c<d.length;++c)d[c]=this.rescale_factor*d[c];if(this.do_normalize){let c=this.image_mean;Array.isArray(this.image_mean)||(c=new Array(t.channels).fill(c));let l=this.image_std;if(Array.isArray(this.image_std)||(l=new Array(t.channels).fill(c)),c.length!==t.channels||l.length!==t.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${c.length}) and \`image_std\` (${l.length}) must match the number of channels in the image (${t.channels}).`);for(let n=0;n<d.length;n+=t.channels)for(let e=0;e<t.channels;++e)d[n+e]=(d[n+e]-this.image_mean[e])/this.image_std[e]}let u=[t.height,t.width,t.channels],h=new Tensor("float32",d,u),p=transpose(h,[2,0,1]);return{original_size:[s,i],reshaped_input_size:a,pixel_values:p}}async _call(t){Array.isArray(t)||(t=[t]);let i=await Promise.all(t.map(a=>this.preprocess(a)));return i.forEach(a=>a.pixel_values.dims=[1,...a.pixel_values.dims]),{pixel_values:cat(i.map(a=>a.pixel_values)),original_sizes:i.map(a=>a.original_size),reshaped_input_sizes:i.map(a=>a.reshaped_input_size)}}}class ViTFeatureExtractor extends ImageFeatureExtractor{}class MobileViTFeatureExtractor extends ImageFeatureExtractor{}class DetrFeatureExtractor extends ImageFeatureExtractor{async _call(t){let i=await super._call(t),s=[i.pixel_values.dims[0],64,64];return i.pixel_mask=new Tensor("int64",new BigInt64Array(s.reduce((a,d)=>a*d)).fill(1n),s),i}center_to_corners_format([t,i,s,a]){return[t-s/2,i-a/2,t+s/2,i+a/2]}post_process_object_detection(t,i=.5,s=null){const a=t.logits,d=t.pred_boxes,[u,h,p]=a.dims;if(s!==null&&s.length!==u)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let c=[];for(let l=0;l<u;++l){let n=s!==null?s[l]:null,e={boxes:[],classes:[],scores:[]},r=a[l],o=d[l];for(let f=0;f<h;++f){let g=r[f],b=max(g.data)[1];if(b===p-1)continue;let y=softmax(g.data)[b];if(y>i){let w=o[f].data;w=this.center_to_corners_format(w),n!==null&&(w=w.map((v,S)=>v*n[(S+1)%2])),e.boxes.push(w),e.classes.push(b),e.scores.push(y)}}c.push(e)}return c}remove_low_and_no_objects(t,i,s,a){let d=[],u=[],h=[];for(let p=0;p<t.dims[0];++p){let c=t[p],l=i[p],n=max(c.data)[1];if(n===a)continue;let r=softmax(c.data)[n];r>s&&(d.push(l),u.push(r),h.push(n))}return[d,u,h]}check_segment_validity(t,i,s,a=.5,d=.8){let u=[],h=0,p=0;for(let l=0;l<t.length;++l)t[l]===s&&(u.push(l),++h),i[s].data[l]>=a&&++p;let c=h>0&&p>0;return c&&(c=h/p>d),[c,u]}compute_segments(t,i,s,a,d,u=null,h=null){let[p,c]=h??t[0].dims,l=new Tensor("int32",new Int32Array(p*c),[p,c]),n=[];if(h!==null)for(let f=0;f<t.length;++f)t[f]=interpolate(t[f],h,"bilinear",!1);let e=new Int32Array(t[0].data.length),r=new Float32Array(t[0].data.length);for(let f=0;f<t.length;++f){let g=i[f];for(let b=0;b<t[f].data.length;++b)t[f].data[b]*=g,t[f].data[b]>r[b]&&(e[b]=f,r[b]=t[f].data[b])}let o=0;for(let f=0;f<s.length;++f){let g=s[f],[b,_]=this.check_segment_validity(e,t,f,a,d);if(b){++o;for(let y of _)l.data[y]=o;n.push({id:o,label_id:g,score:i[f]})}}return[l,n]}post_process_panoptic_segmentation(t,i=.5,s=.5,a=.8,d=null,u=null){d===null&&(console.warn("`label_ids_to_fuse` unset. No instance will be fused."),d=new Set);const h=t.logits,c=t.pred_masks.sigmoid();let[l,n,e]=h.dims;if(e-=1,u!==null&&u.length!==l)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let r=[];for(let o=0;o<l;++o){let f=u!==null?u[o]:null,g=h[o],b=c[o],[_,y,w]=this.remove_low_and_no_objects(g,b,i,e);if(w.length===0){let[A,I]=f??b.dims.slice(-2),x=new Tensor("int32",new Int32Array(A*I).fill(-1),[A,I]);r.push({segmentation:x,segments_info:[]});continue}let[v,S]=this.compute_segments(_,y,w,s,a,d,f);r.push({segmentation:v,segments_info:S})}return r}post_process_instance_segmentation(){throw Error("Not implemented yet")}}class SamImageProcessor extends ImageFeatureExtractor{async _call(t,i){let{pixel_values:s,original_sizes:a,reshaped_input_sizes:d}=await super._call(t),u=calculateDimensions(i);if(u.length===3)u=[1,...u],i=[i];else if(u.length!==4)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");for(let p=0;p<i.length;++p){let c=a[p],l=d[p],n=[l[0]/c[0],l[1]/c[1]];for(let e=0;e<i[p].length;++e)for(let r=0;r<i[p][e].length;++r)for(let o=0;o<i[p][e][r].length;++o)i[p][e][r][o]*=n[o]}let h=new Tensor("int64",BigInt64Array.from(i.flat(1/0).map(p=>BigInt(Math.round(p)))),u);return{pixel_values:s,original_sizes:a,reshaped_input_sizes:d,input_points:h}}post_process_masks(t,i,s,{mask_threshold:a=0,binarize:d=!0,pad_size:u=null}={}){let h=[];u=u??this.pad_size;let p=[u.height,u.width];for(let c=0;c<i.length;++c){let l=i[c],n=s[c],e=t[c],r=[];for(let f=0;f<e.dims[0];++f){let g=e[f],b=interpolate(g,p,"bilinear",!1);b=b.slice(null,[0,n[0]],[0,n[1]]),b=interpolate(e,l,"bilinear",!1),d&&(b=new Tensor("bool",Array.from(b.data).map(_=>_>a),b.dims)),b.dims=[1,...b.dims],r.push(b)}let o=cat(r);h.push(o)}return h}}class WhisperFeatureExtractor extends FeatureExtractor{constructor(t){var i;super(t),(i=this.config).mel_filters??(i.mel_filters=getMelFilters(this.config.sampling_rate,this.config.n_fft,this.config.feature_size))}calcOffset(t,i){return Math.abs((t+i)%(2*i)-i)}padReflect(t,i,s){const a=new Float32Array(t.length+i+s),d=t.length-1;for(let u=0;u<t.length;++u)a[i+u]=t[u];for(let u=1;u<=i;++u)a[i-u]=t[this.calcOffset(u,d)];for(let u=1;u<=s;++u)a[d+i+u]=t[this.calcOffset(d-u,d)];return a}stft(t,i){const s=this.config.n_fft,a=2*(s-1),d=2*(2*s-1),u=2**Math.ceil(Math.log2(d)),h=s+2,p=new Float32Array(h*t.length),c=new Float32Array(d),l=new Float32Array(u),n=new Float32Array(u),e=new Float32Array(u),r=new Float32Array(u),o=new Float32Array(u),f=new Float32Array(u),g=-2*Math.PI/s,b=Math.cos(g),_=Math.sin(g);for(let v=0;v<d>>1;++v){const S=(v+1-s)**2/2,A=Math.sqrt(b**2+_**2)**S,I=S*Math.atan2(_,b);let x=2*v;c[x]=A*Math.cos(I),c[x+1]=A*Math.sin(I),l[x]=c[x],l[x+1]=-c[x+1]}const y=c.subarray(a,d),w=new FFT(u>>1);w.transform(r,l);for(let v=0;v<t.length;++v){const S=t[v];for(let I=0;I<y.length;I+=2){const x=I+1,E=I>>1,F=S[E]*i[E];n[I]=F*y[I],n[x]=F*y[x]}w.transform(o,n);for(let I=0;I<r.length;I+=2){const x=I+1;e[I]=o[I]*r[I]-o[x]*r[x],e[x]=o[I]*r[x]+o[x]*r[I]}w.inverseTransform(f,e);const A=v*h;for(let I=0;I<h;I+=2){const x=f[I+a],E=f[I+a+1],F=y[I],R=y[I+1],$=A+I;p[$]=x*F-E*R,p[$+1]=x*R+E*F}}return{data:p,dims:[t.length,h]}}fram_wave(t,i=!0){const s=[],a=Math.floor((this.config.n_fft-1)/2)+1,d=t.length;for(let u=0;u<d+1;u+=this.config.hop_length){let h;if(i){let p=u>a?u-a:0,c=u<d-a?u+a:d;h=t.subarray(p,c),p===0?h=this.padReflect(h,-u+a,0):c===d&&(h=this.padReflect(h,0,u-d+a))}else{h=new Float32Array(this.config.n_fft);const p=t.subarray(u,u+this.config.n_fft);p.length<this.config.n_fft?(h.set(p),h.fill(0,p.length,this.config.n_fft)):h=p}s.push(h)}return s}hanning(t){if(t<1)return[];if(t===1)return[1];const i=t-1,s=new Float32Array(i);for(let a=0;a<i;++a){const d=2*a-t+1;s[a]=.5+.5*Math.cos(Math.PI*d/i)}return s}_extract_fbank_features(t){const i=new Float32Array(this.config.n_samples);i.set(t);const s=this.hanning(this.config.n_fft+1),a=this.fram_wave(i),d=this.stft(a,s),u=d.data,h=d.dims[0]-1,p=d.dims[1]>>1,c=new Float32Array(h*p);for(let b=0;b<h;++b)for(let _=0;_<p;++_){let y=b*p+_,w=y<<1,v=u[w]**2+u[w+1]**2;c[y]=v}const l=this.config.mel_filters,n=l.length,e=new Float32Array(n*h);let r=0;for(let b=0;b<n;++b){const _=l[b];for(let y=0;y<h;++y){let w=0;for(let v=0;v<p;++v)w+=_[v]*c[y*p+v];e[r++]=w}}const o=1e-10,f=new Float32Array(e.length);let g=0;for(let b=0;b<e.length;++b){const _=Math.max(o,e[b]),y=Math.log10(_);f[b]=y,g=Math.max(y,g)}for(let b=0;b<f.length;++b)f[b]=Math.max(f[b],g-8),f[b]=(f[b]+4)/4;return{data:f,dims:[n,h]}}async _call(t){var a;if(!(t instanceof Float32Array||t instanceof Float64Array))throw new Error(`WhisperFeatureExtractor expects input to be a Float32Array or a Float64Array, but got ${((a=t==null?void 0:t.constructor)==null?void 0:a.name)??typeof t} instead.If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`);t.length>this.config.n_samples&&console.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`.");let i=t.slice(0,this.config.n_samples),s=this._extract_fbank_features(i);return{input_features:new Tensor("float32",s.data,[1,...s.dims])}}}class Processor extends Callable{constructor(t){super(),this.feature_extractor=t}async _call(t){return await this.feature_extractor(t)}}class SamProcessor extends Processor{async _call(t,i){return await this.feature_extractor(t,i)}post_process_masks(...t){return this.feature_extractor.post_process_masks(...t)}}class WhisperProcessor extends Processor{async _call(t){return await this.feature_extractor(t)}}class AutoProcessor{static async from_pretrained(t,{progress_callback:i=null,config:s=null,cache_dir:a=null,local_files_only:d=!1,revision:u="main"}={}){let h=s??await getModelJSON(t,"preprocessor_config.json",!0,{progress_callback:i,config:s,cache_dir:a,local_files_only:d,revision:u}),p=h.feature_extractor_type??h.image_processor_type,c=this.FEATURE_EXTRACTOR_CLASS_MAPPING[p];if(!c)if(h.size!==void 0)console.warn("Feature extractor type not specified, assuming ImageFeatureExtractor due to size parameter in config."),c=ImageFeatureExtractor;else throw new Error(`Unknown Feature Extractor type: ${h.feature_extractor_type}`);let l=this.PROCESSOR_CLASS_MAPPING[h.processor_class]??Processor,n=new c(h);return new l(n)}}Ee(AutoProcessor,"FEATURE_EXTRACTOR_CLASS_MAPPING",{WhisperFeatureExtractor,ViTFeatureExtractor,MobileViTFeatureExtractor,DetrFeatureExtractor,SamImageProcessor}),Ee(AutoProcessor,"PROCESSOR_CLASS_MAPPING",{WhisperProcessor,SamProcessor});async function prepareImages(m){return Array.isArray(m)||(m=[m]),m=await Promise.all(m.map(t=>RawImage.read(t))),m}class Pipeline extends Callable{constructor(t,i,s){super(),this.task=t,this.tokenizer=i,this.model=s}async dispose(){await this.model.dispose()}async _call(t){let i=this.tokenizer(t,{padding:!0,truncation:!0}),s=await this.model(i);return[i,s]}}class TextClassificationPipeline extends Pipeline{async _call(t,{topk:i=1}={}){let[s,a]=await super._call(t),d=this.model.config.id2label,u=[];for(let h of a.logits){let c=getTopItems(softmax(h.data),i).map(function(l){return{label:d[l[0]],score:l[1]}});i===1?u.push(...c):u.push(c)}return Array.isArray(t)||i===1?u:u[0]}}class TokenClassificationPipeline extends Pipeline{async _call(t,{ignore_labels:i=["O"]}={}){let s=Array.isArray(t);s||(t=[t]);let a=this.tokenizer,[d,u]=await super._call(t),h=u.logits,p=this.model.config.id2label,c=[];for(let l=0;l<h.dims[0];++l){let n=d.input_ids[l],e=h[l],r=[];for(let o=0;o<e.dims[0];++o){let f=e[o],g=max(f.data)[1],b=p[g];if(i.includes(b))continue;let _=a.decode([n[o].item()],{skip_special_tokens:!0});if(_==="")continue;let y=softmax(f.data);r.push({entity:b,score:y[g],index:o,word:_,start:null,end:null})}c.push(r)}return s?c:c[0]}}class QuestionAnsweringPipeline extends Pipeline{async _call(t,i,{topk:s=1}={}){let a=this.tokenizer(t,{text_pair:i}),d=await this.model(a),u=[];for(let h=0;h<d.start_logits.dims[0];++h){let p=a.input_ids[h],c=p.indexOf(this.tokenizer.sep_token_id),l=Array.from(softmax(d.start_logits[h].data)).map((r,o)=>[r,o]).filter(r=>r[1]>c),n=Array.from(softmax(d.end_logits[h].data)).map((r,o)=>[r,o]).filter(r=>r[1]>c),e=product(l,n).filter(r=>r[0][1]<=r[1][1]).map(r=>[r[0][1],r[1][1],r[0][0]*r[1][0]]).sort((r,o)=>o[2]-r[2]);for(let r=0;r<Math.min(e.length,s);++r){let[o,f,g]=e[r],b=[...p].slice(o,f+1),_=this.tokenizer.decode(b,{skip_special_tokens:!0});u.push({answer:_,score:g})}}return s===1?u[0]:u}}class FillMaskPipeline extends Pipeline{async _call(t,{topk:i=5}={}){let[s,a]=await super._call(t),d=this.tokenizer,u=[];for(let h=0;h<s.input_ids.dims[0];++h){let p=s.input_ids[h],c=p.indexOf(this.tokenizer.mask_token_id);if(c===-1)throw Error(`Mask token (${d.mask_token}) not found in text.`);let n=a.logits[h][c],e=getTopItems(softmax(n.data),i);u.push(e.map(r=>{let o=[...p];return o[c]=r[0],{score:r[1],token:r[0],token_str:d.model.vocab[r[0]],sequence:d.decode(o,{skip_special_tokens:!0})}}))}return Array.isArray(t)?u:u[0]}}class Text2TextGenerationPipeline extends Pipeline{constructor(){super(...arguments);Ee(this,"_key",null)}async _call(i,s={}){Array.isArray(i)||(i=[i]),this.model.config.prefix&&(i=i.map(c=>this.model.config.prefix+c));let a=this.model.config.task_specific_params;a&&a[this.task]&&a[this.task].prefix&&(i=i.map(c=>a[this.task].prefix+c));let d={padding:!0,truncation:!0},u;this instanceof TranslationPipeline&&"_build_translation_inputs"in this.tokenizer?u=this.tokenizer._build_translation_inputs(i,d,s).input_ids:u=this.tokenizer(i,d).input_ids;let h=await this.model.generate(u,s),p=this.tokenizer.batch_decode(h,{skip_special_tokens:!0});return this._key!==null&&(p=p.map(c=>this._key===null?c:{[this._key]:c})),p}}class SummarizationPipeline extends Text2TextGenerationPipeline{constructor(){super(...arguments);Ee(this,"_key","summary_text")}}class TranslationPipeline extends Text2TextGenerationPipeline{constructor(){super(...arguments);Ee(this,"_key","translation_text")}}class TextGenerationPipeline extends Pipeline{async _call(t,i={}){let s=typeof t=="string"||t instanceof String;s&&(t=[t]),this.tokenizer.padding_side="left";let a=this.tokenizer(t,{padding:!0,truncation:!0}),d=a.input_ids,u=a.attention_mask,h=await this.model.generate(d,i,null,{inputs_attention_mask:u});const p=this.tokenizer.batch_decode(h,{skip_special_tokens:!0}),c=Array.from({length:t.length},l=>[]);for(let l=0;l<p.length;++l){const n=Math.floor(l/h.length*t.length);c[n].push({generated_text:p[l]})}return s&&c.length===1?c[0]:c}}class ZeroShotClassificationPipeline extends Pipeline{constructor(t,i,s){super(t,i,s),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([a,d])=>[a.toLowerCase(),d])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(console.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."),this.entailment_id=2),this.contradiction_id=this.label2id.contradiction,this.contradiction_id===void 0&&(console.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0)}async _call(t,i,{hypothesis_template:s="This example is {}.",multi_label:a=!1}={}){let d=Array.isArray(t);d||(t=[t]),Array.isArray(i)||(i=[i]);let u=i.map(c=>s.replace("{}",c)),h=a||i.length===1,p=[];for(let c of t){let l=[];for(let r of u){let o=this.tokenizer(c,{text_pair:r}),f=await this.model(o);h?l.push([f.logits.data[this.contradiction_id],f.logits.data[this.entailment_id]]):l.push(f.logits.data[this.entailment_id])}let n;h?n=l.map(r=>softmax(r)[1]):n=softmax(l);let e=n.map((r,o)=>[r,o]).sort((r,o)=>o[0]-r[0]);p.push({sequence:c,labels:e.map(r=>i[r[1]]),scores:e.map(r=>r[0])})}return d?p:p[0]}}class FeatureExtractionPipeline extends Pipeline{async _call(t,{pooling:i="none",normalize:s=!1}={}){let[a,d]=await super._call(t),u=d.last_hidden_state??d.logits;if(i!=="none")if(i==="mean")u=mean_pooling(u,a.attention_mask);else throw Error(`Pooling method '${i}' not supported.`);return s&&(u=u.normalize(2,-1)),u}}class AutomaticSpeechRecognitionPipeline extends Pipeline{constructor(t,i,s,a){super(t,i,s),this.processor=a}async _preprocess(t,i){return isString(t)&&(t=await read_audio(t,i)),t}async _call(t,i={}){let s=i.return_timestamps??!1,a=i.chunk_length_s??0,d=i.stride_length_s??null,u=i.chunk_callback??null,h=i.force_full_sequences??!1;s==="word"&&(i.return_token_timestamps=!0);let p=pop(i,"language",null),c=pop(i,"task",null);if(p||c||s){if(i.forced_decoder_ids)throw new Error("Cannot specify `language`/`task`/`return_timestamps` and `forced_decoder_ids` at the same time.");let o=this.tokenizer.get_decoder_prompt_ids({language:p,task:c,no_timestamps:!s});o.length>0&&(i.forced_decoder_ids=o)}let l=!Array.isArray(t);l&&(t=[t]);const n=this.processor.feature_extractor.config.sampling_rate,e=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions;let r=[];for(let o of t){o=await this._preprocess(o,n);let f=[];if(a>0){if(d===null)d=a/6;else if(a<=d)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const _=n*a,y=n*d,w=_-2*y;let v=0;for(;v<o.length;){let S=o.subarray(v,v+_),A=await this.processor(S),I=v===0,x=v+w>=o.length;f.push({stride:[S.length,I?0:y,x?0:y],input_features:A.input_features,is_last:x}),v+=w}}else f=[{stride:[o.length,0,0],input_features:(await this.processor(o)).input_features,is_last:!0}];for(let _ of f){let y=await this.model.generate(_.input_features,i);s==="word"?(_.tokens=y.sequences[0],_.token_timestamps=y.token_timestamps.tolist()[0].map(w=>round(w,2))):_.tokens=y[0],_.stride=_.stride.map(w=>w/n),u!==null&&u(_)}let[g,b]=this.tokenizer._decode_asr(f,{time_precision:e,return_timestamps:s,force_full_sequences:h});r.push({text:g,...b})}return l?r[0]:r}}class ImageToTextPipeline extends Pipeline{constructor(t,i,s,a){super(t,i,s),this.processor=a}async _call(t,i={}){let s=Array.isArray(t);t=await prepareImages(t);let{pixel_values:a}=await this.processor(t),d=[];for(let u of a){u.dims=[1,...u.dims];let h=await this.model.generate(u,i),p=this.tokenizer.batch_decode(h,{skip_special_tokens:!0}).map(c=>({generated_text:c.trim()}));d.push(p)}return s?d:d[0]}}class ImageClassificationPipeline extends Pipeline{constructor(t,i,s){super(t,null,i),this.processor=s}async _call(t,{topk:i=1}={}){let s=Array.isArray(t);t=await prepareImages(t);let{pixel_values:a}=await this.processor(t),d=await this.model({pixel_values:a}),u=this.model.config.id2label,h=[];for(let p of d.logits){let l=getTopItems(softmax(p.data),i).map(function(n){return{label:u[n[0]],score:n[1]}});i===1?h.push(...l):h.push(l)}return s||i===1?h:h[0]}}class ImageSegmentationPipeline extends Pipeline{constructor(t,i,s){super(t,null,i),this.processor=s,this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(t,{threshold:i=.5,mask_threshold:s=.5,overlap_mask_area_threshold:a=.8,label_ids_to_fuse:d=null,target_sizes:u=null,subtask:h=null}={}){if(Array.isArray(t)&&t.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");t=await prepareImages(t);let c=t.map(f=>[f.height,f.width]),{pixel_values:l,pixel_mask:n}=await this.processor(t),e=await this.model({pixel_values:l,pixel_mask:n}),r=null;if(h!==null)r=this.subtasks_mapping[h];else for(let[f,g]of Object.entries(this.subtasks_mapping))if(g in this.processor.feature_extractor){r=this.processor.feature_extractor[g].bind(this.processor.feature_extractor),h=f;break}let o=[];if(h==="panoptic"||h==="instance"){let f=r(e,i,s,a,d,u??c)[0],g=f.segmentation,b=this.model.config.id2label;for(let _ of f.segments_info){let y=new Uint8ClampedArray(g.data.length);for(let v=0;v<g.data.length;++v)g.data[v]===_.id&&(y[v]=255);let w=new RawImage(y,g.dims[1],g.dims[0],1);o.push({score:_.score,label:b[_.label_id],mask:w})}}else throw Error(h==="semantic"?"semantic segmentation not yet supported.":`Subtask ${h} not supported.`);return o}}class ZeroShotImageClassificationPipeline extends Pipeline{constructor(t,i,s,a){super(t,i,s),this.processor=a}async _call(t,i,{hypothesis_template:s="This is a photo of {}"}={}){let a=Array.isArray(t);t=await prepareImages(t);let d=i.map(l=>s.replace("{}",l)),u=this.tokenizer(d,{padding:!0,truncation:!0}),{pixel_values:h}=await this.processor(t),p=await this.model({...u,pixel_values:h}),c=[];for(let l of p.logits_per_image){let n=softmax(l.data);c.push([...n].map((e,r)=>({score:e,label:i[r]})))}return a?c:c[0]}}class ObjectDetectionPipeline extends Pipeline{constructor(t,i,s){super(t,null,i),this.processor=s}async _call(t,{threshold:i=.9,percentage:s=!1}={}){let a=Array.isArray(t);if(a&&t.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");t=await prepareImages(t);let d=s?null:t.map(n=>[n.height,n.width]),{pixel_values:u,pixel_mask:h}=await this.processor(t),p=await this.model({pixel_values:u,pixel_mask:h}),c=this.processor.feature_extractor.post_process_object_detection(p,i,d),l=this.model.config.id2label;return c.forEach(n=>n.labels=n.classes.map(e=>l[e])),a?c:c[0]}}const SUPPORTED_TASKS={"text-classification":{tokenizer:AutoTokenizer,pipeline:TextClassificationPipeline,model:AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:AutoTokenizer,pipeline:TokenClassificationPipeline,model:AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:AutoTokenizer,pipeline:QuestionAnsweringPipeline,model:AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:AutoTokenizer,pipeline:FillMaskPipeline,model:AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:AutoTokenizer,pipeline:SummarizationPipeline,model:AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:AutoTokenizer,pipeline:TranslationPipeline,model:AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:AutoTokenizer,pipeline:Text2TextGenerationPipeline,model:AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:AutoTokenizer,pipeline:TextGenerationPipeline,model:AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:AutoTokenizer,pipeline:ZeroShotClassificationPipeline,model:AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"automatic-speech-recognition":{tokenizer:AutoTokenizer,pipeline:AutomaticSpeechRecognitionPipeline,model:AutoModelForSeq2SeqLM,processor:AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"image-to-text":{tokenizer:AutoTokenizer,pipeline:ImageToTextPipeline,model:AutoModelForVision2Seq,processor:AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:ImageClassificationPipeline,model:AutoModelForImageClassification,processor:AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:ImageSegmentationPipeline,model:AutoModelForImageSegmentation,processor:AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"zero-shot-image-classification":{tokenizer:AutoTokenizer,pipeline:ZeroShotImageClassificationPipeline,model:AutoModel,processor:AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:ObjectDetectionPipeline,model:AutoModelForObjectDetection,processor:AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"feature-extraction":{tokenizer:AutoTokenizer,pipeline:FeatureExtractionPipeline,model:AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"}},TASK_ALIASES={"sentiment-analysis":"text-classification",ner:"token-classification",vqa:"visual-question-answering",asr:"automatic-speech-recognition",embeddings:"feature-extraction"};async function pipeline(m,t=null,{quantized:i=!0,progress_callback:s=null,config:a=null,cache_dir:d=null,local_files_only:u=!1,revision:h="main"}={}){m=TASK_ALIASES[m]??m;let p=SUPPORTED_TASKS[m.split("_",1)[0]];if(!p)throw Error(`Unsupported pipeline: ${m}. Must be one of [${Object.keys(SUPPORTED_TASKS)}]`);t||(t=p.default.model,console.log(`No model specified. Using default model: "${t}".`));let c=p.tokenizer,l=p.model,n=p.pipeline,e=p.processor,r=[],o={quantized:i,progress_callback:s,config:a,cache_dir:d,local_files_only:u,revision:h};c&&r.push(c.from_pretrained(t,o)),l&&r.push(l.from_pretrained(t,o)),e&&r.push(e.from_pretrained(t,o));let f=await Promise.all(r);return dispatchCallback(s,{status:"ready",task:m,model:t}),new n(m,...f)}function product(...m){return m.reduce((t,i)=>t.flatMap(s=>i.map(a=>[s,a])))}const chars="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";function encode$3(m){let t="";for(let i=0;i<m.length;i+=3)t+=chars[m[i]>>2],t+=chars[(m[i]&3)<<4|m[i+1]>>4],t+=chars[(m[i+1]&15)<<2|m[i+2]>>6],t+=chars[m[i+2]&63];return m.length%3===2?t=t.substring(0,t.length-1)+"=":m.length%3===1&&(t=t.substring(0,t.length-2)+"=="),t}function decode$3(m){let t=new Uint8Array(256);for(let a=0;a<chars.length;a++)t[chars.charCodeAt(a)]=a;let i=m.length*.75;m[m.length-1]==="="&&(i--,m[m.length-2]==="="&&i--);let s=new Uint8Array(i);for(let a=0,d=0;a<m.length;a+=4){let u=t[m.charCodeAt(a)],h=t[m.charCodeAt(a+1)],p=t[m.charCodeAt(a+2)],c=t[m.charCodeAt(a+3)];s[d++]=u<<2|h>>4,s[d++]=(h&15)<<4|p>>2,s[d++]=(p&3)<<6|c&63}return s}function changeBitDepth(m,t,i,s){if(["32f","64"].indexOf(t)>-1&&["32f","64"].indexOf(s)>-1){i.set(m);return}validateBitDepth_(t),validateBitDepth_(s);let a=getBitDepthFunction_(t,s),d={oldMin:Math.pow(2,parseInt(t,10))/2,newMin:Math.pow(2,parseInt(s,10))/2,oldMax:Math.pow(2,parseInt(t,10))/2-1,newMax:Math.pow(2,parseInt(s,10))/2-1};sign8Bit_(t,m,!0);for(let u=0,h=m.length;u<h;u++)i[u]=a(m[u],d);sign8Bit_(s,i,!1)}function intToInt_(m,t){return m>0?m=parseInt(m/t.oldMax*t.newMax,10):m=parseInt(m/t.oldMin*t.newMin,10),m}function floatToInt_(m,t){return parseInt(m>0?m*t.newMax:m*t.newMin,10)}function intToFloat_(m,t){return m>0?m/t.oldMax:m/t.oldMin}function getBitDepthFunction_(m,t){let i=function(s){return s};return m!=t&&(["32f","64"].includes(m)?i=floatToInt_:["32f","64"].includes(t)?i=intToFloat_:i=intToInt_),i}function validateBitDepth_(m){if(m!="32f"&&m!="64"&&(parseInt(m,10)<"8"||parseInt(m,10)>"53"))throw new Error("Invalid bit depth.")}function sign8Bit_(m,t,i){if(m=="8"){let s=i?-128:128;for(let a=0,d=t.length;a<d;a++)t[a]=t[a]+=s}}const INDEX_TABLE=[-1,-1,-1,-1,2,4,6,8,-1,-1,-1,-1,2,4,6,8],STEP_TABLE=[7,8,9,10,11,12,13,14,16,17,19,21,23,25,28,31,34,37,41,45,50,55,60,66,73,80,88,97,107,118,130,143,157,173,190,209,230,253,279,307,337,371,408,449,494,544,598,658,724,796,876,963,1060,1166,1282,1411,1552,1707,1878,2066,2272,2499,2749,3024,3327,3660,4026,4428,4871,5358,5894,6484,7132,7845,8630,9493,10442,11487,12635,13899,15289,16818,18500,20350,22385,24623,27086,29794,32767];function encode$2(m){let t={index:0,predicted:0,step:7},i=new Uint8Array(m.length),s=[],a=0,d=0;for(let h=0,p=m.length;h<p;h++)h%505==0&&h!=0&&(i.set(encodeBlock(s,t),a),a+=256,s=[],d++),s.push(m[h]);let u=m.length/2;return u%2&&u++,i.slice(0,u+512+d*4)}function decode$2(m,t=256){let i={index:0,predicted:0,step:7},s=new Int16Array(m.length*2),a=[],d=0;for(let u=0,h=m.length;u<h;u++){if(u%t==0&&u!=0){let p=decodeBlock(a,i);s.set(p,d),d+=p.length,a=[]}a.push(m[u])}return s}function encodeBlock(m,t){let i=blockHead_(m[0],t);for(let s=3,a=m.length;s<a;s+=2){let d=encodeSample_(m[s],t),u=encodeSample_(m[s+1],t);i.push(u<<4|d)}return i}function decodeBlock(m,t){t.predicted=sign_(m[1]<<8|m[0]),t.index=m[2],t.step=STEP_TABLE[t.index];let i=[t.predicted,t.predicted];for(let s=4,a=m.length;s<a;s++){let d=m[s],u=d>>4,h=u<<4^d;i.push(decodeSample_(h,t)),i.push(decodeSample_(u,t))}return i}function sign_(m){return m>32768?m-65536:m}function encodeSample_(m,t){let i=m-t.predicted,s=0;i>=0?s=0:(s=8,i=-i);let a=STEP_TABLE[t.index],d=a>>3;return i>a&&(s|=4,i-=a,d+=a),a>>=1,i>a&&(s|=2,i-=a,d+=a),a>>=1,i>a&&(s|=1,d+=a),updateEncoder_(s,d,t),s}function updateEncoder_(m,t,i){m&8?i.predicted-=t:i.predicted+=t,i.predicted<-32768?i.predicted=-32768:i.predicted>32767&&(i.predicted=32767),i.index+=INDEX_TABLE[m&7],i.index<0?i.index=0:i.index>88&&(i.index=88)}function decodeSample_(m,t){let i=0;return m&4&&(i+=t.step),m&2&&(i+=t.step>>1),m&1&&(i+=t.step>>2),i+=t.step>>3,m&8&&(i=-i),t.predicted+=i,t.predicted>32767?t.predicted=32767:t.predicted<-32767&&(t.predicted=-32767),updateDecoder_(m,t),t.predicted}function updateDecoder_(m,t){t.index+=INDEX_TABLE[m],t.index<0?t.index=0:t.index>88&&(t.index=88),t.step=STEP_TABLE[t.index]}function blockHead_(m,t){encodeSample_(m,t);let i=[];return i.push(m&255),i.push(m>>8&255),i.push(t.index),i.push(0),i}const LOG_TABLE=[1,1,2,2,3,3,3,3,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7];function encodeSample$1(m){let t;m=m==-32768?-32767:m;let i=~m>>8&128;if(i||(m=m*-1),m>32635&&(m=32635),m>=256){let s=LOG_TABLE[m>>8&127],a=m>>s+3&15;t=s<<4|a}else t=m>>4;return t^(i^85)}function decodeSample$1(m){let t=0;m^=85,m&128&&(m&=-129,t=-1);let i=((m&240)>>4)+4,s=0;return i!=4?s=1<<i|(m&15)<<i-4|1<<i-5:s=m<<1|1,s=t===0?s:-s,s*8*-1}function encode$1(m){let t=new Uint8Array(m.length);for(let i=0,s=m.length;i<s;i++)t[i]=encodeSample$1(m[i]);return t}function decode$1(m){let t=new Int16Array(m.length);for(let i=0,s=m.length;i<s;i++)t[i]=decodeSample$1(m[i]);return t}const BIAS=132,CLIP=32635,encodeTable=[0,0,1,1,2,2,2,2,3,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],decodeTable=[0,132,396,924,1980,4092,8316,16764];function encodeSample(m){let t,i,s,a;return t=m>>8&128,t!=0&&(m=-m),m=m+BIAS,m>CLIP&&(m=CLIP),i=encodeTable[m>>7&255],s=m>>i+3&15,a=~(t|i<<4|s),a}function decodeSample(m){let t,i,s,a;return m=~m,t=m&128,i=m>>4&7,s=m&15,a=decodeTable[i]+(s<<i+3),t!=0&&(a=-a),a}function encode(m){let t=new Uint8Array(m.length);for(let i=0,s=m.length;i<s;i++)t[i]=encodeSample(m[i]);return t}function decode(m){let t=new Int16Array(m.length);for(let i=0,s=m.length;i<s;i++)t[i]=decodeSample(m[i]);return t}function endianness(m,t,i=0,s=m.length){for(let a=i;a<s;a+=t)swap_(m,t,a)}function swap_(m,t,i){t--;for(let s=0;s<t;s++){let a=m[i+s];m[i+s]=m[i+t],m[i+t]=a,t--}}function unpack$1(m,t=0,i=m.length){let s="";for(let a=t;a<i;){let d=128,u=191,h=!1,p=m[a++];if(p>=0&&p<=127)s+=String.fromCharCode(p);else{let c=0;p>=194&&p<=223?c=1:p>=224&&p<=239?(c=2,m[a]===224&&(d=160),m[a]===237&&(u=159)):p>=240&&p<=244?(c=3,m[a]===240&&(d=144),m[a]===244&&(u=143)):h=!0,p=p&(1<<8-c-1)-1;for(let l=0;l<c;l++)(m[a]<d||m[a]>u)&&(h=!0),p=p<<6|m[a]&63,a++;h?s+=String.fromCharCode(65533):p<=65535?s+=String.fromCharCode(p):(p-=65536,s+=String.fromCharCode((p>>10&1023)+55296,(p&1023)+56320))}}return s}function pack$1(m,t,i=0){let s=0,a=m.length;for(;s<a;){let d=m.codePointAt(s);if(d<128)t[i]=d,i++;else{let u=0,h=0;for(d<=2047?(u=1,h=192):d<=65535?(u=2,h=224):d<=1114111&&(u=3,h=240,s++),t[i]=(d>>6*u)+h,i++;u>0;)t[i]=128|d>>6*(u-1)&63,i++,u--}s++}return i}class IntParser{constructor(t,i=!1){this.bits=t,this.offset=Math.ceil(t/8),this.max=Math.pow(2,t)-1,this.min=0,this.unpack=this.unpack_,i&&(this.max=Math.pow(2,t)/2-1,this.min=-this.max-1,this.unpack=this.unpackSigned_)}pack(t,i,s=0){i=this.clamp_(Math.round(i));for(let a=0,d=this.offset;a<d;a++)t[s]=Math.floor(i/Math.pow(2,a*8))&255,s++;return s}unpack_(t,i=0){let s=0;for(let a=0;a<this.offset;a++)s+=t[i+a]*Math.pow(256,a);return s}unpackSigned_(t,i=0){return this.sign_(this.unpack_(t,i))}clamp_(t){return t>this.max?this.max:t<this.min?this.min:t}sign_(t){return t>this.max&&(t-=this.max*2+2),t}}class FloatParser{constructor(t,i){this.offset=Math.ceil((t+i)/8),this.ebits=t,this.fbits=i,this.bias=(1<<t-1)-1,this.biasP2=Math.pow(2,this.bias+1),this.ebitsFbits=t+i,this.fbias=Math.pow(2,-(8*this.offset-1-t))}pack(t,i,s){Math.abs(i)>this.biasP2-this.ebitsFbits*2&&(i=i<0?-1/0:1/0);let a=((i=+i)||1/i)<0||i<0?1:0;i=Math.abs(i);let d=Math.min(Math.floor(Math.log(i)/Math.LN2),1023),u=roundToEven(i/Math.pow(2,d)*Math.pow(2,this.fbits));return i!==i?(u=Math.pow(2,this.fbits-1),d=(1<<this.ebits)-1):i!==0&&(i>=Math.pow(2,1-this.bias)?(u/Math.pow(2,this.fbits)>=2&&(d=d+1,u=1),d>this.bias?(d=(1<<this.ebits)-1,u=0):(d=d+this.bias,u=roundToEven(u)-Math.pow(2,this.fbits))):(u=roundToEven(i/Math.pow(2,1-this.bias-this.fbits)),d=0)),this.packFloatBits_(t,s,a,d,u)}unpack(t,i){let s=(1<<this.ebits)-1,a,d="";for(let p=this.offset-1;p>=0;p--){let c=t[p+i].toString(2);d+="00000000".substring(c.length)+c}let u=d.charAt(0)=="1"?-1:1;d=d.substring(1);let h=parseInt(d.substring(0,this.ebits),2);return d=d.substring(this.ebits),h==s?parseInt(d,2)!==0?NaN:u*(1/0):(h===0?(h+=1,a=parseInt(d,2)):a=parseInt("1"+d,2),u*a*this.fbias*Math.pow(2,h-this.bias))}packFloatBits_(t,i,s,a,d){let u=[];u.push(s);for(let n=this.ebits;n>0;n-=1)u[n]=a%2?1:0,a=Math.floor(a/2);let h=u.length;for(let n=this.fbits;n>0;n-=1)u[h+n]=d%2?1:0,d=Math.floor(d/2);let p=u.join(""),c=this.offset+i-1,l=i;for(;c>=i;)t[c]=parseInt(p.substring(0,8),2),p=p.substring(8),c--,l++;return l}}function roundToEven(m){let t=Math.floor(m),i=m-t;return i<.5?t:i>.5||t%2?t+1:t}function unpackString(m,t=0,i=m.length){return unpack$1(m,t,i)}function packString(m){let t=[];return pack$1(m,t),t}function packStringTo(m,t,i=0){return pack$1(m,t,i)}function packArrayTo(m,t,i,s=0){t=t||{};let a=getParser_(t.bits,t.fp,t.signed),d=Math.ceil(t.bits/8),u=0,h=s;for(let p=m.length;u<p;u++)s=a.pack(i,m[u],s);return t.be&&endianness(i,d,h,s),s}function unpackArrayTo(m,t,i,s=0,a=m.length){t=t||{};let d=getParser_(t.bits,t.fp,t.signed);if(a=getUnpackLen_(m,s,a,d.offset),t.be){let u=copyBuffer_(m);t.be&&endianness(u,d.offset,s,a),unpack_(u,i,s,a,d)}else unpack_(m,i,s,a,d)}function packTo(m,t,i,s=0){return packArrayTo([m],t,i,s)}function pack(m,t){let i=[];return packTo(m,t,i,0),i}function unpack(m,t,i=0){let s=[];return unpackArrayTo(m,t,s,i,i+Math.ceil(t.bits/8)),s[0]}function unpack_(m,t,i,s,a){let d=a.offset;for(let u=0,h=i;h<s;h+=d,u++)t[u]=a.unpack(m,h)}function copyBuffer_(m){return new Uint8Array(m)}function getUnpackLen_(m,t,i,s){let a=(i-t)%s;return i-a}function getParser_(m,t,i){return t&&m==32?new FloatParser(8,23):t&&m==64?new FloatParser(11,52):new IntParser(m,i)}class RIFFFile{constructor(){this.container="",this.chunkSize=0,this.format="",this.signature=null,this.head=0,this.uInt32={bits:32,be:!1},this.supported_containers=["RIFF","RIFX"]}setSignature(t){if(this.head=0,this.container=this.readString(t,4),this.supported_containers.indexOf(this.container)===-1)throw Error("Not a supported format.");this.uInt32.be=this.container==="RIFX",this.chunkSize=this.readUInt32(t),this.format=this.readString(t,4),this.signature={chunkId:this.container,chunkSize:this.chunkSize,format:this.format,subChunks:this.getSubChunksIndex_(t)}}findChunk(t,i=!1){let s=this.signature.subChunks,a=[];for(let d=0;d<s.length;d++)if(s[d].chunkId==t)if(i)a.push(s[d]);else return s[d];return t=="LIST"&&a.length?a:null}readString(t,i){let s="";return s=unpackString(t,this.head,this.head+i),this.head+=i,s}readUInt32(t){let i=unpack(t,this.uInt32,this.head);return this.head+=4,i}getSubChunksIndex_(t){let i=[],s=this.head;for(;s<=t.length-8;)i.push(this.getSubChunkIndex_(t,s)),s+=8+i[i.length-1].chunkSize,s=s%2?s+1:s;return i}getSubChunkIndex_(t,i){let s={chunkId:this.getChunkId_(t,i),chunkSize:this.getChunkSize_(t,i)};if(s.chunkId=="LIST")s.format=unpackString(t,i+8,i+12),this.head+=4,s.subChunks=this.getSubChunksIndex_(t);else{let a=s.chunkSize%2?s.chunkSize+1:s.chunkSize;this.head=i+8+a,s.chunkData={start:i+8,end:this.head}}return s}getChunkId_(t,i){return this.head+=4,unpackString(t,i,i+4)}getChunkSize_(t,i){return this.head+=4,unpack(t,this.uInt32,i+4)}}class WaveFileReader extends RIFFFile{constructor(){super(),this.supported_containers.push("RF64"),this.fmt={chunkId:"",chunkSize:0,audioFormat:0,numChannels:0,sampleRate:0,byteRate:0,blockAlign:0,bitsPerSample:0,cbSize:0,validBitsPerSample:0,dwChannelMask:0,subformat:[]},this.fact={chunkId:"",chunkSize:0,dwSampleLength:0},this.cue={chunkId:"",chunkSize:0,dwCuePoints:0,points:[]},this.smpl={chunkId:"",chunkSize:0,dwManufacturer:0,dwProduct:0,dwSamplePeriod:0,dwMIDIUnityNote:0,dwMIDIPitchFraction:0,dwSMPTEFormat:0,dwSMPTEOffset:0,dwNumSampleLoops:0,dwSamplerData:0,loops:[]},this.bext={chunkId:"",chunkSize:0,description:"",originator:"",originatorReference:"",originationDate:"",originationTime:"",timeReference:[0,0],version:0,UMID:"",loudnessValue:0,loudnessRange:0,maxTruePeakLevel:0,maxMomentaryLoudness:0,maxShortTermLoudness:0,reserved:"",codingHistory:""},this.iXML={chunkId:"",chunkSize:0,value:""},this.ds64={chunkId:"",chunkSize:0,riffSizeHigh:0,riffSizeLow:0,dataSizeHigh:0,dataSizeLow:0,originationTime:0,sampleCountHigh:0,sampleCountLow:0},this.data={chunkId:"",chunkSize:0,samples:new Uint8Array(0)},this.LIST=[],this.junk={chunkId:"",chunkSize:0,chunkData:[]},this._PMX={chunkId:"",chunkSize:0,value:""},this.uInt16={bits:16,be:!1,signed:!1,fp:!1}}fromBuffer(t,i=!0){if(this.clearHeaders(),this.setSignature(t),this.uInt16.be=this.uInt32.be,this.format!="WAVE")throw Error('Could not find the "WAVE" format identifier');this.readDs64Chunk_(t),this.readFmtChunk_(t),this.readFactChunk_(t),this.readBextChunk_(t),this.readiXMLChunk_(t),this.readCueChunk_(t),this.readSmplChunk_(t),this.readDataChunk_(t,i),this.readJunkChunk_(t),this.readLISTChunk_(t),this.read_PMXChunk_(t)}clearHeaders(){let t=new WaveFileReader;Object.assign(this.fmt,t.fmt),Object.assign(this.fact,t.fact),Object.assign(this.cue,t.cue),Object.assign(this.smpl,t.smpl),Object.assign(this.bext,t.bext),Object.assign(this.iXML,t.iXML),Object.assign(this.ds64,t.ds64),Object.assign(this.data,t.data),this.LIST=[],Object.assign(this.junk,t.junk),Object.assign(this._PMX,t._PMX)}readFmtChunk_(t){let i=this.findChunk("fmt ");if(i)this.head=i.chunkData.start,this.fmt.chunkId=i.chunkId,this.fmt.chunkSize=i.chunkSize,this.fmt.audioFormat=this.readUInt16_(t),this.fmt.numChannels=this.readUInt16_(t),this.fmt.sampleRate=this.readUInt32(t),this.fmt.byteRate=this.readUInt32(t),this.fmt.blockAlign=this.readUInt16_(t),this.fmt.bitsPerSample=this.readUInt16_(t),this.readFmtExtension_(t);else throw Error('Could not find the "fmt " chunk')}readFmtExtension_(t){this.fmt.chunkSize>16&&(this.fmt.cbSize=this.readUInt16_(t),this.fmt.chunkSize>18&&(this.fmt.validBitsPerSample=this.readUInt16_(t),this.fmt.chunkSize>20&&(this.fmt.dwChannelMask=this.readUInt32(t),this.fmt.subformat=[this.readUInt32(t),this.readUInt32(t),this.readUInt32(t),this.readUInt32(t)])))}readFactChunk_(t){let i=this.findChunk("fact");i&&(this.head=i.chunkData.start,this.fact.chunkId=i.chunkId,this.fact.chunkSize=i.chunkSize,this.fact.dwSampleLength=this.readUInt32(t))}readCueChunk_(t){let i=this.findChunk("cue ");if(i){this.head=i.chunkData.start,this.cue.chunkId=i.chunkId,this.cue.chunkSize=i.chunkSize,this.cue.dwCuePoints=this.readUInt32(t);for(let s=0;s<this.cue.dwCuePoints;s++)this.cue.points.push({dwName:this.readUInt32(t),dwPosition:this.readUInt32(t),fccChunk:this.readString(t,4),dwChunkStart:this.readUInt32(t),dwBlockStart:this.readUInt32(t),dwSampleOffset:this.readUInt32(t)})}}readSmplChunk_(t){let i=this.findChunk("smpl");if(i){this.head=i.chunkData.start,this.smpl.chunkId=i.chunkId,this.smpl.chunkSize=i.chunkSize,this.smpl.dwManufacturer=this.readUInt32(t),this.smpl.dwProduct=this.readUInt32(t),this.smpl.dwSamplePeriod=this.readUInt32(t),this.smpl.dwMIDIUnityNote=this.readUInt32(t),this.smpl.dwMIDIPitchFraction=this.readUInt32(t),this.smpl.dwSMPTEFormat=this.readUInt32(t),this.smpl.dwSMPTEOffset=this.readUInt32(t),this.smpl.dwNumSampleLoops=this.readUInt32(t),this.smpl.dwSamplerData=this.readUInt32(t);for(let s=0;s<this.smpl.dwNumSampleLoops;s++)this.smpl.loops.push({dwName:this.readUInt32(t),dwType:this.readUInt32(t),dwStart:this.readUInt32(t),dwEnd:this.readUInt32(t),dwFraction:this.readUInt32(t),dwPlayCount:this.readUInt32(t)})}}readDataChunk_(t,i){let s=this.findChunk("data");if(s)this.data.chunkId="data",this.data.chunkSize=s.chunkSize,i&&(this.data.samples=t.slice(s.chunkData.start,s.chunkData.end));else throw Error('Could not find the "data" chunk')}readBextChunk_(t){let i=this.findChunk("bext");i&&(this.head=i.chunkData.start,this.bext.chunkId=i.chunkId,this.bext.chunkSize=i.chunkSize,this.bext.description=this.readString(t,256),this.bext.originator=this.readString(t,32),this.bext.originatorReference=this.readString(t,32),this.bext.originationDate=this.readString(t,10),this.bext.originationTime=this.readString(t,8),this.bext.timeReference=[this.readUInt32(t),this.readUInt32(t)],this.bext.version=this.readUInt16_(t),this.bext.UMID=this.readString(t,64),this.bext.loudnessValue=this.readUInt16_(t),this.bext.loudnessRange=this.readUInt16_(t),this.bext.maxTruePeakLevel=this.readUInt16_(t),this.bext.maxMomentaryLoudness=this.readUInt16_(t),this.bext.maxShortTermLoudness=this.readUInt16_(t),this.bext.reserved=this.readString(t,180),this.bext.codingHistory=this.readString(t,this.bext.chunkSize-602))}readiXMLChunk_(t){let i=this.findChunk("iXML");i&&(this.head=i.chunkData.start,this.iXML.chunkId=i.chunkId,this.iXML.chunkSize=i.chunkSize,this.iXML.value=unpackString(t,this.head,this.head+this.iXML.chunkSize))}readDs64Chunk_(t){let i=this.findChunk("ds64");if(i)this.head=i.chunkData.start,this.ds64.chunkId=i.chunkId,this.ds64.chunkSize=i.chunkSize,this.ds64.riffSizeHigh=this.readUInt32(t),this.ds64.riffSizeLow=this.readUInt32(t),this.ds64.dataSizeHigh=this.readUInt32(t),this.ds64.dataSizeLow=this.readUInt32(t),this.ds64.originationTime=this.readUInt32(t),this.ds64.sampleCountHigh=this.readUInt32(t),this.ds64.sampleCountLow=this.readUInt32(t);else if(this.container=="RF64")throw Error('Could not find the "ds64" chunk')}readLISTChunk_(t){let i=this.findChunk("LIST",!0);if(i!==null)for(let s=0;s<i.length;s++){let a=i[s];this.LIST.push({chunkId:a.chunkId,chunkSize:a.chunkSize,format:a.format,subChunks:[]});for(let d=0;d<a.subChunks.length;d++)this.readLISTSubChunks_(a.subChunks[d],a.format,t)}}readLISTSubChunks_(t,i,s){i=="adtl"?["labl","note","ltxt"].indexOf(t.chunkId)>-1&&this.readLISTadtlSubChunks_(s,t):i=="INFO"&&this.readLISTINFOSubChunks_(s,t)}readLISTadtlSubChunks_(t,i){this.head=i.chunkData.start;let s={chunkId:i.chunkId,chunkSize:i.chunkSize,dwName:this.readUInt32(t)};i.chunkId=="ltxt"?(s.dwSampleLength=this.readUInt32(t),s.dwPurposeID=this.readUInt32(t),s.dwCountry=this.readUInt16_(t),s.dwLanguage=this.readUInt16_(t),s.dwDialect=this.readUInt16_(t),s.dwCodePage=this.readUInt16_(t),s.value=""):s.value=this.readZSTR_(t,this.head),this.LIST[this.LIST.length-1].subChunks.push(s)}readLISTINFOSubChunks_(t,i){this.head=i.chunkData.start,this.LIST[this.LIST.length-1].subChunks.push({chunkId:i.chunkId,chunkSize:i.chunkSize,value:this.readZSTR_(t,this.head)})}readJunkChunk_(t){let i=this.findChunk("junk");i&&(this.junk={chunkId:i.chunkId,chunkSize:i.chunkSize,chunkData:[].slice.call(t.slice(i.chunkData.start,i.chunkData.end))})}read_PMXChunk_(t){let i=this.findChunk("_PMX");i&&(this.head=i.chunkData.start,this._PMX.chunkId=i.chunkId,this._PMX.chunkSize=i.chunkSize,this._PMX.value=unpackString(t,this.head,this.head+this._PMX.chunkSize))}readZSTR_(t,i=0){for(let s=i;s<t.length&&(this.head++,t[s]!==0);s++);return unpackString(t,i,this.head-1)}readUInt16_(t){let i=unpack(t,this.uInt16,this.head);return this.head+=2,i}}function writeString(m,t){let i=packString(m);for(let s=i.length;s<t;s++)i.push(0);return i}class WaveFileParser extends WaveFileReader{toBuffer(){this.uInt16.be=this.container==="RIFX",this.uInt32.be=this.uInt16.be;let t=[this.getJunkBytes_(),this.getDs64Bytes_(),this.getBextBytes_(),this.getiXMLBytes_(),this.getFmtBytes_(),this.getFactBytes_(),packString(this.data.chunkId),pack(this.data.samples.length,this.uInt32),this.data.samples,this.getCueBytes_(),this.getSmplBytes_(),this.getLISTBytes_(),this.get_PMXBytes_()],i=0;for(let d=0;d<t.length;d++)i+=t[d].length;let s=new Uint8Array(i+12),a=0;a=packStringTo(this.container,s,a),a=packTo(i+4,this.uInt32,s,a),a=packStringTo(this.format,s,a);for(let d=0;d<t.length;d++)s.set(t[d],a),a+=t[d].length;return s}getBextBytes_(){let t=[];return this.enforceBext_(),this.bext.chunkId&&(this.bext.chunkSize=602+this.bext.codingHistory.length,t=t.concat(packString(this.bext.chunkId),pack(602+this.bext.codingHistory.length,this.uInt32),writeString(this.bext.description,256),writeString(this.bext.originator,32),writeString(this.bext.originatorReference,32),writeString(this.bext.originationDate,10),writeString(this.bext.originationTime,8),pack(this.bext.timeReference[0],this.uInt32),pack(this.bext.timeReference[1],this.uInt32),pack(this.bext.version,this.uInt16),writeString(this.bext.UMID,64),pack(this.bext.loudnessValue,this.uInt16),pack(this.bext.loudnessRange,this.uInt16),pack(this.bext.maxTruePeakLevel,this.uInt16),pack(this.bext.maxMomentaryLoudness,this.uInt16),pack(this.bext.maxShortTermLoudness,this.uInt16),writeString(this.bext.reserved,180),writeString(this.bext.codingHistory,this.bext.codingHistory.length))),this.enforceByteLen_(t),t}enforceBext_(){for(let t in this.bext)if(this.bext.hasOwnProperty(t)&&this.bext[t]&&t!="timeReference"){this.bext.chunkId="bext";break}(this.bext.timeReference[0]||this.bext.timeReference[1])&&(this.bext.chunkId="bext")}getiXMLBytes_(){let t=[];if(this.iXML.chunkId){let i=packString(this.iXML.value);this.iXML.chunkSize=i.length,t=t.concat(packString(this.iXML.chunkId),pack(this.iXML.chunkSize,this.uInt32),i)}return this.enforceByteLen_(t),t}getDs64Bytes_(){let t=[];return this.ds64.chunkId&&(t=t.concat(packString(this.ds64.chunkId),pack(this.ds64.chunkSize,this.uInt32),pack(this.ds64.riffSizeHigh,this.uInt32),pack(this.ds64.riffSizeLow,this.uInt32),pack(this.ds64.dataSizeHigh,this.uInt32),pack(this.ds64.dataSizeLow,this.uInt32),pack(this.ds64.originationTime,this.uInt32),pack(this.ds64.sampleCountHigh,this.uInt32),pack(this.ds64.sampleCountLow,this.uInt32))),this.enforceByteLen_(t),t}getCueBytes_(){let t=[];if(this.cue.chunkId){let i=this.getCuePointsBytes_();t=t.concat(packString(this.cue.chunkId),pack(i.length+4,this.uInt32),pack(this.cue.dwCuePoints,this.uInt32),i)}return this.enforceByteLen_(t),t}getCuePointsBytes_(){let t=[];for(let i=0;i<this.cue.dwCuePoints;i++)t=t.concat(pack(this.cue.points[i].dwName,this.uInt32),pack(this.cue.points[i].dwPosition,this.uInt32),packString(this.cue.points[i].fccChunk),pack(this.cue.points[i].dwChunkStart,this.uInt32),pack(this.cue.points[i].dwBlockStart,this.uInt32),pack(this.cue.points[i].dwSampleOffset,this.uInt32));return t}getSmplBytes_(){let t=[];if(this.smpl.chunkId){let i=this.getSmplLoopsBytes_();t=t.concat(packString(this.smpl.chunkId),pack(i.length+36,this.uInt32),pack(this.smpl.dwManufacturer,this.uInt32),pack(this.smpl.dwProduct,this.uInt32),pack(this.smpl.dwSamplePeriod,this.uInt32),pack(this.smpl.dwMIDIUnityNote,this.uInt32),pack(this.smpl.dwMIDIPitchFraction,this.uInt32),pack(this.smpl.dwSMPTEFormat,this.uInt32),pack(this.smpl.dwSMPTEOffset,this.uInt32),pack(this.smpl.dwNumSampleLoops,this.uInt32),pack(this.smpl.dwSamplerData,this.uInt32),i)}return this.enforceByteLen_(t),t}getSmplLoopsBytes_(){let t=[];for(let i=0;i<this.smpl.dwNumSampleLoops;i++)t=t.concat(pack(this.smpl.loops[i].dwName,this.uInt32),pack(this.smpl.loops[i].dwType,this.uInt32),pack(this.smpl.loops[i].dwStart,this.uInt32),pack(this.smpl.loops[i].dwEnd,this.uInt32),pack(this.smpl.loops[i].dwFraction,this.uInt32),pack(this.smpl.loops[i].dwPlayCount,this.uInt32));return t}getFactBytes_(){let t=[];return this.fact.chunkId&&(t=t.concat(packString(this.fact.chunkId),pack(this.fact.chunkSize,this.uInt32),pack(this.fact.dwSampleLength,this.uInt32))),this.enforceByteLen_(t),t}getFmtBytes_(){let t=[];if(this.fmt.chunkId){let i=t.concat(packString(this.fmt.chunkId),pack(this.fmt.chunkSize,this.uInt32),pack(this.fmt.audioFormat,this.uInt16),pack(this.fmt.numChannels,this.uInt16),pack(this.fmt.sampleRate,this.uInt32),pack(this.fmt.byteRate,this.uInt32),pack(this.fmt.blockAlign,this.uInt16),pack(this.fmt.bitsPerSample,this.uInt16),this.getFmtExtensionBytes_());return this.enforceByteLen_(i),i}throw Error('Could not find the "fmt " chunk')}getFmtExtensionBytes_(){let t=[];return this.fmt.chunkSize>16&&(t=t.concat(pack(this.fmt.cbSize,this.uInt16))),this.fmt.chunkSize>18&&(t=t.concat(pack(this.fmt.validBitsPerSample,this.uInt16))),this.fmt.chunkSize>20&&(t=t.concat(pack(this.fmt.dwChannelMask,this.uInt32))),this.fmt.chunkSize>24&&(t=t.concat(pack(this.fmt.subformat[0],this.uInt32),pack(this.fmt.subformat[1],this.uInt32),pack(this.fmt.subformat[2],this.uInt32),pack(this.fmt.subformat[3],this.uInt32))),t}getLISTBytes_(){let t=[];for(let i=0;i<this.LIST.length;i++){let s=this.getLISTSubChunksBytes_(this.LIST[i].subChunks,this.LIST[i].format);t=t.concat(packString(this.LIST[i].chunkId),pack(s.length+4,this.uInt32),packString(this.LIST[i].format),s)}return this.enforceByteLen_(t),t}getLISTSubChunksBytes_(t,i){let s=[];for(let a=0,d=t.length;a<d;a++)i=="INFO"?s=s.concat(this.getLISTINFOSubChunksBytes_(t[a])):i=="adtl"&&(s=s.concat(this.getLISTadtlSubChunksBytes_(t[a]))),this.enforceByteLen_(s);return s}getLISTINFOSubChunksBytes_(t){let i=[],s=writeString(t.value,t.value.length);return i=i.concat(packString(t.chunkId),pack(s.length+1,this.uInt32),s),i.push(0),i}getLISTadtlSubChunksBytes_(t){let i=[];if(["labl","note"].indexOf(t.chunkId)>-1){let s=writeString(t.value,t.value.length);i=i.concat(packString(t.chunkId),pack(s.length+4+1,this.uInt32),pack(t.dwName,this.uInt32),s),i.push(0)}else t.chunkId=="ltxt"&&(i=i.concat(this.getLtxtChunkBytes_(t)));return i}getLtxtChunkBytes_(t){return[].concat(packString(t.chunkId),pack(t.value.length+20,this.uInt32),pack(t.dwName,this.uInt32),pack(t.dwSampleLength,this.uInt32),pack(t.dwPurposeID,this.uInt32),pack(t.dwCountry,this.uInt16),pack(t.dwLanguage,this.uInt16),pack(t.dwDialect,this.uInt16),pack(t.dwCodePage,this.uInt16),writeString(t.value,t.value.length))}get_PMXBytes_(){let t=[];if(this._PMX.chunkId){let i=packString(this._PMX.value);this._PMX.chunkSize=i.length,t=t.concat(packString(this._PMX.chunkId),pack(this._PMX.chunkSize,this.uInt32),i)}return this.enforceByteLen_(t),t}getJunkBytes_(){let t=[];return this.junk.chunkId?t.concat(packString(this.junk.chunkId),pack(this.junk.chunkData.length,this.uInt32),this.junk.chunkData):(this.enforceByteLen_(t),t)}enforceByteLen_(t){t.length%2&&t.push(0)}}function interleave(m){let t=[];if(m.length>0)if(m[0].constructor!==Number){t=new Float64Array(m[0].length*m.length);for(let i=0,s=m[0].length,a=0;i<s;i++)for(let d=0,u=m.length;d<u;d++,a++)t[a]=m[d][i]}else t=m;return t}function deInterleave(m,t,i=Float64Array){let s=[];for(let a=0;a<t;a++)s[a]=new i(m.length/t);for(let a=0;a<t;a++)for(let d=a,u=0;d<m.length;d+=t,u++)s[a][u]=m[d];return s}function validateNumChannels(m,t){let i=m*t/8;return!(m<1||i>65535)}function validateSampleRate(m,t,i){let s=m*(t/8)*i;return!(i<1||s>4294967295)}class WaveFileCreator extends WaveFileParser{constructor(){super(),this.bitDepth="0",this.dataType={bits:0,be:!1},this.WAV_AUDIO_FORMATS={4:17,8:1,"8a":6,"8m":7,16:1,24:1,32:1,"32f":3,64:3}}fromScratch(t,i,s,a,d){d=d||{},this.clearHeaders(),this.newWavFile_(t,i,s,a,d)}fromBuffer(t,i=!0){super.fromBuffer(t,i),this.bitDepthFromFmt_(),this.updateDataType_()}toBuffer(){return this.validateWavHeader_(),super.toBuffer()}getSamples(t=!1,i=Float64Array){let s=new i(this.data.samples.length/(this.dataType.bits/8));return unpackArrayTo(this.data.samples,this.dataType,s,0,this.data.samples.length),!t&&this.fmt.numChannels>1?deInterleave(s,this.fmt.numChannels,i):s}getSample(t){if(t=t*(this.dataType.bits/8),t+this.dataType.bits/8>this.data.samples.length)throw new Error("Range error");return unpack(this.data.samples.slice(t,t+this.dataType.bits/8),this.dataType)}setSample(t,i){if(t=t*(this.dataType.bits/8),t+this.dataType.bits/8>this.data.samples.length)throw new Error("Range error");packTo(i,this.dataType,this.data.samples,t)}getiXML(){return this.iXML.value}setiXML(t){if(typeof t!="string")throw new TypeError("iXML value must be a string.");this.iXML.value=t,this.iXML.chunkId="iXML"}get_PMX(){return this._PMX.value}set_PMX(t){if(typeof t!="string")throw new TypeError("_PMX value must be a string.");this._PMX.value=t,this._PMX.chunkId="_PMX"}newWavFile_(t,i,s,a,d){d.container||(d.container="RIFF"),this.container=d.container,this.bitDepth=s,a=interleave(a),this.updateDataType_();let u=this.dataType.bits/8;this.data.samples=new Uint8Array(a.length*u),packArrayTo(a,this.dataType,this.data.samples,0),this.makeWavHeader_(s,t,i,u,this.data.samples.length,d),this.data.chunkId="data",this.data.chunkSize=this.data.samples.length,this.validateWavHeader_()}makeWavHeader_(t,i,s,a,d,u){t=="4"?this.createADPCMHeader_(t,i,s,a,d,u):t=="8a"||t=="8m"?this.createALawMulawHeader_(t,i,s,a,d,u):Object.keys(this.WAV_AUDIO_FORMATS).indexOf(t)==-1||i>2?this.createExtensibleHeader_(t,i,s,a,d,u):this.createPCMHeader_(t,i,s,a,d,u)}createPCMHeader_(t,i,s,a,d,u){this.container=u.container,this.chunkSize=36+d,this.format="WAVE",this.bitDepth=t,this.fmt={chunkId:"fmt ",chunkSize:16,audioFormat:this.WAV_AUDIO_FORMATS[t]||65534,numChannels:i,sampleRate:s,byteRate:i*a*s,blockAlign:i*a,bitsPerSample:parseInt(t,10),cbSize:0,validBitsPerSample:0,dwChannelMask:0,subformat:[]}}createADPCMHeader_(t,i,s,a,d,u){this.createPCMHeader_(t,i,s,a,d,u),this.chunkSize=40+d,this.fmt.chunkSize=20,this.fmt.byteRate=4055,this.fmt.blockAlign=256,this.fmt.bitsPerSample=4,this.fmt.cbSize=2,this.fmt.validBitsPerSample=505,this.fact={chunkId:"fact",chunkSize:4,dwSampleLength:d*2}}createExtensibleHeader_(t,i,s,a,d,u){this.createPCMHeader_(t,i,s,a,d,u),this.chunkSize=36+24+d,this.fmt.chunkSize=40,this.fmt.bitsPerSample=(parseInt(t,10)-1|7)+1,this.fmt.cbSize=22,this.fmt.validBitsPerSample=parseInt(t,10),this.fmt.dwChannelMask=dwChannelMask_(i),this.fmt.subformat=[1,1048576,2852126848,1905997824]}createALawMulawHeader_(t,i,s,a,d,u){this.createPCMHeader_(t,i,s,a,d,u),this.chunkSize=40+d,this.fmt.chunkSize=20,this.fmt.cbSize=2,this.fmt.validBitsPerSample=8,this.fact={chunkId:"fact",chunkSize:4,dwSampleLength:d}}bitDepthFromFmt_(){this.fmt.audioFormat===3&&this.fmt.bitsPerSample===32?this.bitDepth="32f":this.fmt.audioFormat===6?this.bitDepth="8a":this.fmt.audioFormat===7?this.bitDepth="8m":this.bitDepth=this.fmt.bitsPerSample.toString()}validateBitDepth_(){if(!this.WAV_AUDIO_FORMATS[this.bitDepth]){if(parseInt(this.bitDepth,10)>8&&parseInt(this.bitDepth,10)<54)return!0;throw new Error("Invalid bit depth.")}return!0}updateDataType_(){this.dataType={bits:(parseInt(this.bitDepth,10)-1|7)+1,fp:this.bitDepth=="32f"||this.bitDepth=="64",signed:this.bitDepth!="8",be:this.container=="RIFX"},["4","8a","8m"].indexOf(this.bitDepth)>-1&&(this.dataType.bits=8,this.dataType.signed=!1)}validateWavHeader_(){if(this.validateBitDepth_(),!validateNumChannels(this.fmt.numChannels,this.fmt.bitsPerSample))throw new Error("Invalid number of channels.");if(!validateSampleRate(this.fmt.numChannels,this.fmt.bitsPerSample,this.fmt.sampleRate))throw new Error("Invalid sample rate.")}}function dwChannelMask_(m){let t=0;return m===1?t=4:m===2?t=3:m===4?t=51:m===6?t=63:m===8&&(t=1599),t}class WaveFileTagEditor extends WaveFileCreator{getTag(t){let i=this.getTagIndex_(t);return i.TAG!==null?this.LIST[i.LIST].subChunks[i.TAG].value:null}setTag(t,i){t=fixRIFFTag_(t);let s=this.getTagIndex_(t);s.TAG!==null?(this.LIST[s.LIST].subChunks[s.TAG].chunkSize=i.length+1,this.LIST[s.LIST].subChunks[s.TAG].value=i):s.LIST!==null?this.LIST[s.LIST].subChunks.push({chunkId:t,chunkSize:i.length+1,value:i}):(this.LIST.push({chunkId:"LIST",chunkSize:8+i.length+1,format:"INFO",subChunks:[]}),this.LIST[this.LIST.length-1].subChunks.push({chunkId:t,chunkSize:i.length+1,value:i}))}deleteTag(t){let i=this.getTagIndex_(t);return i.TAG!==null?(this.LIST[i.LIST].subChunks.splice(i.TAG,1),!0):!1}listTags(){let t=this.getLISTIndex("INFO"),i={};if(t!==null)for(let s=0,a=this.LIST[t].subChunks.length;s<a;s++)i[this.LIST[t].subChunks[s].chunkId]=this.LIST[t].subChunks[s].value;return i}getLISTIndex(t){for(let i=0,s=this.LIST.length;i<s;i++)if(this.LIST[i].format==t)return i;return null}getTagIndex_(t){let i={LIST:null,TAG:null};for(let s=0,a=this.LIST.length;s<a;s++)if(this.LIST[s].format=="INFO"){i.LIST=s;for(let d=0,u=this.LIST[s].subChunks.length;d<u;d++)if(this.LIST[s].subChunks[d].chunkId==t){i.TAG=d;break}break}return i}}function fixRIFFTag_(m){if(m.constructor!==String)throw new Error("Invalid tag name.");if(m.length<4)for(let t=0,i=4-m.length;t<i;t++)m+=" ";return m}class WaveFileCueEditor extends WaveFileTagEditor{listCuePoints(){let t=this.getCuePoints_();for(let i=0,s=t.length;i<s;i++)t[i].position=t[i].dwSampleOffset/this.fmt.sampleRate*1e3,t[i].dwSampleLength?(t[i].end=t[i].dwSampleLength/this.fmt.sampleRate*1e3,t[i].end+=t[i].position):t[i].end=null,delete t[i].value;return t}setCuePoint(t){this.cue.chunkId="cue ",t.label||(t.label="");let i=this.getCuePoints_();this.clearLISTadtl_(),this.cue.points=[],t.dwSampleOffset=t.position*this.fmt.sampleRate/1e3,t.dwSampleLength=0,t.end&&(t.dwSampleLength=t.end*this.fmt.sampleRate/1e3-t.dwSampleOffset),i.length===0?this.setCuePoint_(t,1):this.setCuePointInOrder_(i,t),this.cue.dwCuePoints=this.cue.points.length}deleteCuePoint(t){this.cue.chunkId="cue ";let i=this.getCuePoints_();this.clearLISTadtl_();let s=this.cue.points.length;this.cue.points=[];for(let a=0;a<s;a++)a+1!==t&&this.setCuePoint_(i[a],a+1);this.cue.dwCuePoints=this.cue.points.length,this.cue.dwCuePoints?this.cue.chunkId="cue ":(this.cue.chunkId="",this.clearLISTadtl_())}updateLabel(t,i){let s=this.getLISTIndex("adtl");if(s!==null)for(let a=0,d=this.LIST[s].subChunks.length;a<d;a++)this.LIST[s].subChunks[a].dwName==t&&(this.LIST[s].subChunks[a].value=i)}getCuePoints_(){let t=[];for(let i=0;i<this.cue.points.length;i++){let s=this.cue.points[i],a=this.getDataForCuePoint_(s.dwName);a.label=a.value?a.value:"",a.dwPosition=s.dwPosition,a.fccChunk=s.fccChunk,a.dwChunkStart=s.dwChunkStart,a.dwBlockStart=s.dwBlockStart,a.dwSampleOffset=s.dwSampleOffset,t.push(a)}return t}getDataForCuePoint_(t){let i=this.getLISTIndex("adtl"),s={};return i!==null&&this.getCueDataFromLIST_(s,i,t),s}getCueDataFromLIST_(t,i,s){for(let a=0,d=this.LIST[i].subChunks.length;a<d;a++)if(this.LIST[i].subChunks[a].dwName==s){let u=this.LIST[i].subChunks[a];t.value=u.value||t.value,t.dwName=u.dwName||0,t.dwSampleLength=u.dwSampleLength||0,t.dwPurposeID=u.dwPurposeID||0,t.dwCountry=u.dwCountry||0,t.dwLanguage=u.dwLanguage||0,t.dwDialect=u.dwDialect||0,t.dwCodePage=u.dwCodePage||0}}setCuePoint_(t,i){this.cue.points.push({dwName:i,dwPosition:t.dwPosition?t.dwPosition:0,fccChunk:t.fccChunk?t.fccChunk:"data",dwChunkStart:t.dwChunkStart?t.dwChunkStart:0,dwBlockStart:t.dwBlockStart?t.dwBlockStart:0,dwSampleOffset:t.dwSampleOffset}),this.setLabl_(t,i)}setCuePointInOrder_(t,i){let s=!1;for(let a=0;a<t.length;a++)t[a].dwSampleOffset>i.dwSampleOffset&&!s?(this.setCuePoint_(i,a+1),this.setCuePoint_(t[a],a+2),s=!0):this.setCuePoint_(t[a],s?a+2:a+1);s||this.setCuePoint_(i,this.cue.points.length+1)}clearLISTadtl_(){for(let t=0,i=this.LIST.length;t<i;t++)this.LIST[t].format=="adtl"&&this.LIST.splice(t)}setLabl_(t,i){let s=this.getLISTIndex("adtl");s===null&&(this.LIST.push({chunkId:"LIST",chunkSize:4,format:"adtl",subChunks:[]}),s=this.LIST.length-1),this.setLabelText_(s,t,i),t.dwSampleLength&&this.setLtxtChunk_(s,t,i)}setLabelText_(t,i,s){this.LIST[t].subChunks.push({chunkId:"labl",chunkSize:4,dwName:s,value:i.label}),this.LIST[t].chunkSize+=12}setLtxtChunk_(t,i,s){this.LIST[t].subChunks.push({chunkId:"ltxt",chunkSize:20,dwName:s,dwSampleLength:i.dwSampleLength,dwPurposeID:i.dwPurposeID||0,dwCountry:i.dwCountry||0,dwLanguage:i.dwLanguage||0,dwDialect:i.dwDialect||0,dwCodePage:i.dwCodePage||0,value:i.label}),this.LIST[t].chunkSize+=28}}class Interpolator{constructor(t,i,s){this.length_=t,this.scaleFactor_=(t-1)/i,this.interpolate=this.sinc,s.method==="point"?this.interpolate=this.point:s.method==="linear"?this.interpolate=this.linear:s.method==="cubic"&&(this.interpolate=this.cubic),this.tangentFactor_=1-Math.max(0,Math.min(1,s.tension||0)),this.sincFilterSize_=s.sincFilterSize||1,this.kernel_=sincKernel_(s.sincWindow||window_)}point(t,i){return this.getClippedInput_(Math.round(this.scaleFactor_*t),i)}linear(t,i){t=this.scaleFactor_*t;let s=Math.floor(t);return t-=s,(1-t)*this.getClippedInput_(s,i)+t*this.getClippedInput_(s+1,i)}cubic(t,i){t=this.scaleFactor_*t;let s=Math.floor(t),a=[this.getTangent_(s,i),this.getTangent_(s+1,i)],d=[this.getClippedInput_(s,i),this.getClippedInput_(s+1,i)];t-=s;let u=t*t,h=t*u;return(2*h-3*u+1)*d[0]+(h-2*u+t)*a[0]+(-2*h+3*u)*d[1]+(h-u)*a[1]}sinc(t,i){t=this.scaleFactor_*t;let s=Math.floor(t),a=s-this.sincFilterSize_+1,d=s+this.sincFilterSize_,u=0;for(let h=a;h<=d;h++)u+=this.kernel_(t-h)*this.getClippedInput_(h,i);return u}getTangent_(t,i){return this.tangentFactor_*(this.getClippedInput_(t+1,i)-this.getClippedInput_(t-1,i))/2}getClippedInput_(t,i){return 0<=t&&t<this.length_?i[t]:0}}function window_(m){return Math.exp(-m/2*m/2)}function sincKernel_(m){return function(t){return sinc_(t)*m(t)}}function sinc_(m){return m===0?1:Math.sin(Math.PI*m)/(Math.PI*m)}class FIRLPF{constructor(t,i,s){let a=2*Math.PI*s/i,d=0;this.filters=[];for(let u=0;u<=t;u++)u-t/2===0?this.filters[u]=a:(this.filters[u]=Math.sin(a*(u-t/2))/(u-t/2),this.filters[u]*=.54-.46*Math.cos(2*Math.PI*u/t)),d=d+this.filters[u];for(let u=0;u<=t;u++)this.filters[u]/=d;this.z=this.initZ_()}filter(t){this.z.buf[this.z.pointer]=t;let i=0;for(let s=0,a=this.z.buf.length;s<a;s++)i+=this.filters[s]*this.z.buf[(this.z.pointer+s)%this.z.buf.length];return this.z.pointer=(this.z.pointer+1)%this.z.buf.length,i}reset(){this.z=this.initZ_()}initZ_(){let t=[];for(let i=0;i<this.filters.length-1;i++)t.push(0);return{buf:t,pointer:0}}}class ButterworthLPF{constructor(t,i,s){let a=[];for(let d=0;d<t;d++)a.push(this.getCoeffs_({Fs:i,Fc:s,Q:.5/Math.sin(Math.PI/(t*2)*(d+.5))}));this.stages=[];for(let d=0;d<a.length;d++)this.stages[d]={b0:a[d].b[0],b1:a[d].b[1],b2:a[d].b[2],a1:a[d].a[0],a2:a[d].a[1],k:a[d].k,z:[0,0]}}filter(t){let i=t;for(let s=0,a=this.stages.length;s<a;s++)i=this.runStage_(s,i);return i}getCoeffs_(t){let i={};i.a=[],i.b=[];let s=this.preCalc_(t,i);return i.k=1,i.b.push((1-s.cw)/(2*s.a0)),i.b.push(2*i.b[0]),i.b.push(i.b[0]),i}preCalc_(t,i){let s={},a=2*Math.PI*t.Fc/t.Fs;return s.alpha=Math.sin(a)/(2*t.Q),s.cw=Math.cos(a),s.a0=1+s.alpha,i.a0=s.a0,i.a.push(-2*s.cw/s.a0),i.k=1,i.a.push((1-s.alpha)/s.a0),s}runStage_(t,i){let s=i*this.stages[t].k-this.stages[t].a1*this.stages[t].z[0]-this.stages[t].a2*this.stages[t].z[1],a=this.stages[t].b0*s+this.stages[t].b1*this.stages[t].z[0]+this.stages[t].b2*this.stages[t].z[1];return this.stages[t].z[1]=this.stages[t].z[0],this.stages[t].z[0]=s,a}reset(){for(let t=0;t<this.stages.length;t++)this.stages[t].z=[0,0]}}const DEFAULT_LPF_USE={point:!1,linear:!1,cubic:!0,sinc:!0},DEFAULT_LPF_ORDER={IIR:16,FIR:71},DEFAULT_LPF={IIR:ButterworthLPF,FIR:FIRLPF};function resample(m,t,i,s=null){s=s||{};let a=(i-t)/t+1,d=new Float64Array(m.length*a);s.method=s.method||"cubic";let u=new Interpolator(m.length,d.length,{method:s.method,tension:s.tension||0,sincFilterSize:s.sincFilterSize||6,sincWindow:s.sincWindow||void 0,clip:s.clip||"mirror"});if(s.LPF===void 0&&(s.LPF=DEFAULT_LPF_USE[s.method]),s.LPF){s.LPFType=s.LPFType||"IIR";const h=DEFAULT_LPF[s.LPFType];if(i>t){let p=new h(s.LPForder||DEFAULT_LPF_ORDER[s.LPFType],i,t/2);upsample_(m,d,u,p)}else{let p=new h(s.LPForder||DEFAULT_LPF_ORDER[s.LPFType],t,i/2);downsample_(m,d,u,p)}}else resample_(m,d,u);return d}function resample_(m,t,i){for(let s=0,a=t.length;s<a;s++)t[s]=i.interpolate(s,m)}function upsample_(m,t,i,s){for(let a=0,d=t.length;a<d;a++)t[a]=s.filter(i.interpolate(a,m));s.reset();for(let a=t.length-1;a>=0;a--)t[a]=s.filter(t[a])}function downsample_(m,t,i,s){for(let a=0,d=m.length;a<d;a++)m[a]=s.filter(m[a]);s.reset();for(let a=m.length-1;a>=0;a--)m[a]=s.filter(m[a]);resample_(m,t,i)}class WaveFileConverter extends WaveFileCueEditor{toRIFF(){let t=new Float64Array(outputSize_(this.data.samples.length,this.dataType.bits/8));unpackArrayTo(this.data.samples,this.dataType,t,0,this.data.samples.length),this.fromExisting_(this.fmt.numChannels,this.fmt.sampleRate,this.bitDepth,t,{container:"RIFF"})}toRIFX(){let t=new Float64Array(outputSize_(this.data.samples.length,this.dataType.bits/8));unpackArrayTo(this.data.samples,this.dataType,t,0,this.data.samples.length),this.fromExisting_(this.fmt.numChannels,this.fmt.sampleRate,this.bitDepth,t,{container:"RIFX"})}toIMAADPCM(){if(this.fmt.sampleRate!==8e3)throw new Error("Only 8000 Hz files can be compressed as IMA-ADPCM.");if(this.fmt.numChannels!==1)throw new Error("Only mono files can be compressed as IMA-ADPCM.");{this.assure16Bit_();let t=new Int16Array(outputSize_(this.data.samples.length,2));unpackArrayTo(this.data.samples,this.dataType,t,0,this.data.samples.length),this.fromExisting_(this.fmt.numChannels,this.fmt.sampleRate,"4",encode$2(t),{container:this.correctContainer_()})}}fromIMAADPCM(t="16"){this.fromExisting_(this.fmt.numChannels,this.fmt.sampleRate,"16",decode$2(this.data.samples,this.fmt.blockAlign),{container:this.correctContainer_()}),t!="16"&&this.toBitDepth(t)}toALaw(){this.assure16Bit_();let t=new Int16Array(outputSize_(this.data.samples.length,2));unpackArrayTo(this.data.samples,this.dataType,t,0,this.data.samples.length),this.fromExisting_(this.fmt.numChannels,this.fmt.sampleRate,"8a",encode$1(t),{container:this.correctContainer_()})}fromALaw(t="16"){this.fromExisting_(this.fmt.numChannels,this.fmt.sampleRate,"16",decode$1(this.data.samples),{container:this.correctContainer_()}),t!="16"&&this.toBitDepth(t)}toMuLaw(){this.assure16Bit_();let t=new Int16Array(outputSize_(this.data.samples.length,2));unpackArrayTo(this.data.samples,this.dataType,t,0,this.data.samples.length),this.fromExisting_(this.fmt.numChannels,this.fmt.sampleRate,"8m",encode(t),{container:this.correctContainer_()})}fromMuLaw(t="16"){this.fromExisting_(this.fmt.numChannels,this.fmt.sampleRate,"16",decode(this.data.samples),{container:this.correctContainer_()}),t!="16"&&this.toBitDepth(t)}toBitDepth(t,i=!0){let s=t,a=this.bitDepth;i||(t!="32f"&&(s=this.dataType.bits.toString()),a=""+this.dataType.bits),this.assureUncompressed_();let d=this.getSamples(!0),u=new Float64Array(d.length);changeBitDepth(d,a,u,s),this.fromExisting_(this.fmt.numChannels,this.fmt.sampleRate,t,u,{container:this.correctContainer_()})}toSampleRate(t,i){this.validateResample_(t);let s=this.getSamples(),a=[];if(s.constructor===Float64Array)a=resample(s,this.fmt.sampleRate,t,i);else for(let d=0;d<s.length;d++)a.push(resample(s[d],this.fmt.sampleRate,t,i));this.fromExisting_(this.fmt.numChannels,t,this.bitDepth,a,{container:this.correctContainer_()})}validateResample_(t){if(validateSampleRate(this.fmt.numChannels,this.fmt.bitsPerSample,t)){if(["4","8a","8m"].indexOf(this.bitDepth)>-1)throw new Error("wavefile can't change the sample rate of compressed files.")}else throw new Error("Invalid sample rate.")}assure16Bit_(){this.assureUncompressed_(),this.bitDepth!="16"&&this.toBitDepth("16")}assureUncompressed_(){this.bitDepth=="8a"?this.fromALaw():this.bitDepth=="8m"?this.fromMuLaw():this.bitDepth=="4"&&this.fromIMAADPCM()}correctContainer_(){return this.container=="RF64"?"RIFF":this.container}fromExisting_(t,i,s,a,d){let u=new WaveFileCueEditor;Object.assign(this.fmt,u.fmt),Object.assign(this.fact,u.fact),Object.assign(this.ds64,u.ds64),Object.assign(this.data,u.data),this.newWavFile_(t,i,s,a,d)}}function outputSize_(m,t){let i=m/t;return i%2&&i++,i}class WaveFile extends WaveFileConverter{constructor(t){super(),t&&this.fromBuffer(t)}fromBase64(t){this.fromBuffer(decode$3(t))}toBase64(){return encode$3(this.toBuffer())}toDataURI(){return"data:audio/wav;base64,"+this.toBase64()}fromDataURI(t){this.fromBase64(t.replace("data:audio/wav;base64,",""))}}(async()=>{let m=await pipeline("automatic-speech-recognition","Xenova/whisper-tiny.en");class t{static async getInstance(s=null){return this.instance===null&&(this.instance=pipeline(this.task,this.model,{progress_callback:s})),this.instance}}Ee(t,"task","translation"),Ee(t,"model","Xenova/nllb-200-distilled-600M"),Ee(t,"instance",null),self.addEventListener("message",async i=>{let s=await t.getInstance(d=>{self.postMessage(d)});if(i.data.type!=="text"){let d=i.data.text,h=await(await fetch(d)).arrayBuffer(),p=new WaveFile(new Uint8Array(h));p.toBitDepth("32f"),p.toSampleRate(16e3);let c=p.getSamples();Array.isArray(c)&&(c=c[0]);let l=performance.now(),n=await m(c),e=performance.now();console.log(`Execution duration: ${(e-l)/1e3} seconds`),console.log(n)}let a=await s(i.data.text,{tgt_lang:i.data.tgt_lang,src_lang:i.data.src_lang,callback_function:d=>{self.postMessage({status:"update",output:s.tokenizer.decode(d[0].output_token_ids,{skip_special_tokens:!0})})}});self.postMessage({status:"complete",output:a})})})()})();