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r=t.stateNode;if(4&t.flags&&!Js)if(null===n)r.componentDidMount();else{var a=t.elementType===t.type?n.memoizedProps:mi(t.type,n.memoizedProps);r.componentDidUpdate(a,n.memoizedState,r.__reactInternalSnapshotBeforeUpdate)}var o=t.updateQueue;null!==o&&Pi(t,o,r);break;case 3:var s=t.updateQueue;if(null!==s){if(n=null,null!==t.child)switch(t.child.tag){case 5:case 1:n=t.child.stateNode}Pi(t,s,n)}break;case 5:var u=t.stateNode;if(null===n&&4&t.flags){n=u;var c=t.memoizedProps;switch(t.type){case"button":case"input":case"select":case"textarea":c.autoFocus&&n.focus();break;case"img":c.src&&(n.src=c.src)}}break;case 6:case 4:case 12:case 19:case 17:case 21:case 22:case 23:case 25:break;case 13:if(null===t.memoizedState){var l=t.alternate;if(null!==l){var h=l.memoizedState;if(null!==h){var p=h.dehydrated;null!==p&&Vt(p)}}}break;default:throw 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Nu,Iu=Math.ceil,Tu=k.ReactCurrentDispatcher,Eu=k.ReactCurrentOwner,Cu=k.ReactCurrentBatchConfig,_u=0,Ru=null,Au=null,Fu=0,Du=0,Ou=Na(0),Mu=0,Lu=null,zu=0,Pu=0,Bu=0,Wu=null,Uu=null,Vu=0,Gu=1/0,Hu=null,ju=!1,Ku=null,qu=null,Xu=!1,Yu=null,Qu=0,Ju=0,Zu=null,$u=-1,ec=0;function tc(){return 0!==(6&_u)?Je():-1!==$u?$u:$u=Je()}function nc(e){return 0===(1&e.mode)?1:0!==(2&_u)&&0!==Fu?Fu&-Fu:null!==vi.transition?(0===ec&&(ec=vt()),ec):0!==(e=bt)?e:e=void 0===(e=window.event)?16:Qt(e.type)}function rc(e,t,n,r){if(50<Ju)throw Ju=0,Zu=null,Error(i(185));gt(e,n,r),0!==(2&_u)&&e===Ru||(e===Ru&&(0===(2&_u)&&(Pu|=n),4===Mu&&uc(e,Fu)),ac(e,r),1===n&&0===_u&&0===(1&t.mode)&&(Gu=Je()+500,Ba&&Va()))}function ac(e,t){var n=e.callbackNode;!function(e,t){for(var n=e.suspendedLanes,r=e.pingedLanes,a=e.expirationTimes,i=e.pendingLanes;0<i;){var o=31-ot(i),s=1<<o,u=a[o];-1===u?0!==(s&n)&&0===(s&r)||(a[o]=dt(s,t)):u<=t&&(e.expiredLanes|=s),i&=~s}}(e,t);var r=pt(e,e===Ru?Fu:0);if(0===r)null!==n&&Xe(n),e.callbackNode=null,e.callbackPriority=0;else if(t=r&-r,e.callbackPriority!==t){if(null!=n&&Xe(n),1===t)0===e.tag?function(e){Ba=!0,Ua(e)}(cc.bind(null,e)):Ua(cc.bind(null,e)),oa((function(){0===(6&_u)&&Va()})),n=null;else{switch(kt(r)){case 1:n=$e;break;case 4:n=et;break;case 16:default:n=tt;break;case 536870912:n=rt}n=Rc(n,ic.bind(null,e))}e.callbackPriority=t,e.callbackNode=n}}function ic(e,t){if($u=-1,ec=0,0!==(6&_u))throw Error(i(327));var n=e.callbackNode;if(Sc()&&e.callbackNode!==n)return null;var r=pt(e,e===Ru?Fu:0);if(0===r)return null;if(0!==(30&r)||0!==(r&e.expiredLanes)||t)t=gc(e,r);else{t=r;var a=_u;_u|=2;var o=vc();for(Ru===e&&Fu===t||(Hu=null,Gu=Je()+500,dc(e,t));;)try{bc();break}catch(u){fc(e,u)}xi(),Tu.current=o,_u=a,null!==Au?t=0:(Ru=null,Fu=0,t=Mu)}if(0!==t){if(2===t&&(0!==(a=ft(e))&&(r=a,t=oc(e,a))),1===t)throw 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4:if(uc(e,r),(4194240&r)===r)break;for(t=e.eventTimes,a=-1;0<r;){var s=31-ot(r);o=1<<s,(s=t[s])>a&&(a=s),r&=~o}if(r=a,10<(r=(120>(r=Je()-r)?120:480>r?480:1080>r?1080:1920>r?1920:3e3>r?3e3:4320>r?4320:1960*Iu(r/1960))-r)){e.timeoutHandle=ra(wc.bind(null,e,Uu,Hu),r);break}wc(e,Uu,Hu);break;default:throw Error(i(329))}}}return ac(e,Je()),e.callbackNode===n?ic.bind(null,e):null}function oc(e,t){var n=Wu;return e.current.memoizedState.isDehydrated&&(dc(e,t).flags|=256),2!==(e=gc(e,t))&&(t=Uu,Uu=n,null!==t&&sc(t)),e}function sc(e){null===Uu?Uu=e:Uu.push.apply(Uu,e)}function uc(e,t){for(t&=~Bu,t&=~Pu,e.suspendedLanes|=t,e.pingedLanes&=~t,e=e.expirationTimes;0<t;){var n=31-ot(t),r=1<<n;e[n]=-1,t&=~r}}function cc(e){if(0!==(6&_u))throw Error(i(327));Sc();var t=pt(e,0);if(0===(1&t))return ac(e,Je()),null;var n=gc(e,t);if(0!==e.tag&&2===n){var r=ft(e);0!==r&&(t=r,n=oc(e,r))}if(1===n)throw n=Lu,dc(e,0),uc(e,t),ac(e,Je()),n;if(6===n)throw Error(i(345));return e.finishedWork=e.current.alternate,e.finishedLanes=t,wc(e,Uu,Hu),ac(e,Je()),null}function lc(e,t){var n=_u;_u|=1;try{return e(t)}finally{0===(_u=n)&&(Gu=Je()+500,Ba&&Va())}}function hc(e){null!==Yu&&0===Yu.tag&&0===(6&_u)&&Sc();var t=_u;_u|=1;var n=Cu.transition,r=bt;try{if(Cu.transition=null,bt=1,e)return e()}finally{bt=r,Cu.transition=n,0===(6&(_u=t))&&Va()}}function pc(){Du=Ou.current,Ia(Ou)}function dc(e,t){e.finishedWork=null,e.finishedLanes=0;var n=e.timeoutHandle;if(-1!==n&&(e.timeoutHandle=-1,aa(n)),null!==Au)for(n=Au.return;null!==n;){var r=n;switch(ti(r),r.tag){case 1:null!==(r=r.type.childContextTypes)&&void 0!==r&&Da();break;case 3:ao(),Ia(_a),Ia(Ca),lo();break;case 5:oo(r);break;case 4:ao();break;case 13:case 19:Ia(so);break;case 10:wi(r.type._context);break;case 22:case 23:pc()}n=n.return}if(Ru=e,Au=e=Oc(e.current,null),Fu=Du=t,Mu=0,Lu=null,Bu=Pu=zu=0,Uu=Wu=null,null!==Ti){for(t=0;t<Ti.length;t++)if(null!==(r=(n=Ti[t]).interleaved)){n.interleaved=null;var a=r.next,i=n.pending;if(null!==i){var o=i.next;i.next=a,r.next=o}n.pending=r}Ti=null}return e}function fc(e,t){for(;;){var n=Au;try{if(xi(),ho.current=os,yo){for(var r=vo.memoizedState;null!==r;){var a=r.queue;null!==a&&(a.pending=null),r=r.next}yo=!1}if(fo=0,go=mo=vo=null,bo=!1,ko=0,Eu.current=null,null===n||null===n.return){Mu=1,Lu=t,Au=null;break}e:{var o=e,s=n.return,u=n,c=t;if(t=Fu,u.flags|=32768,null!==c&&"object"===typeof c&&"function"===typeof c.then){var l=c,h=u,p=h.tag;if(0===(1&h.mode)&&(0===p||11===p||15===p)){var d=h.alternate;d?(h.updateQueue=d.updateQueue,h.memoizedState=d.memoizedState,h.lanes=d.lanes):(h.updateQueue=null,h.memoizedState=null)}var f=gs(s);if(null!==f){f.flags&=-257,ys(f,s,u,0,t),1&f.mode&&ms(o,l,t),c=l;var v=(t=f).updateQueue;if(null===v){var m=new Set;m.add(c),t.updateQueue=m}else v.add(c);break e}if(0===(1&t)){ms(o,l,t),mc();break e}c=Error(i(426))}else if(ai&&1&u.mode){var g=gs(s);if(null!==g){0===(65536&g.flags)&&(g.flags|=256),ys(g,s,u,0,t),fi(ls(c,u));break e}}o=c=ls(c,u),4!==Mu&&(Mu=2),null===Wu?Wu=[o]:Wu.push(o),o=s;do{switch(o.tag){case 3:o.flags|=65536,t&=-t,o.lanes|=t,Li(o,fs(0,c,t));break e;case 1:u=c;var y=o.type,b=o.stateNode;if(0===(128&o.flags)&&("function"===typeof y.getDerivedStateFromError||null!==b&&"function"===typeof b.componentDidCatch&&(null===qu||!qu.has(b)))){o.flags|=65536,t&=-t,o.lanes|=t,Li(o,vs(o,u,t));break e}}o=o.return}while(null!==o)}xc(n)}catch(k){t=k,Au===n&&null!==n&&(Au=n=n.return);continue}break}}function vc(){var e=Tu.current;return Tu.current=os,null===e?os:e}function mc(){0!==Mu&&3!==Mu&&2!==Mu||(Mu=4),null===Ru||0===(268435455&zu)&&0===(268435455&Pu)||uc(Ru,Fu)}function gc(e,t){var n=_u;_u|=2;var r=vc();for(Ru===e&&Fu===t||(Hu=null,dc(e,t));;)try{yc();break}catch(a){fc(e,a)}if(xi(),_u=n,Tu.current=r,null!==Au)throw Error(i(261));return Ru=null,Fu=0,Mu}function yc(){for(;null!==Au;)kc(Au)}function bc(){for(;null!==Au&&!Ye();)kc(Au)}function kc(e){var t=Nu(e.alternate,e,Du);e.memoizedProps=e.pendingProps,null===t?xc(e):Au=t,Eu.current=null}function xc(e){var t=e;do{var n=t.alternate;if(e=t.return,0===(32768&t.flags)){if(null!==(n=Xs(n,t,Du)))return void(Au=n)}else{if(null!==(n=Ys(n,t)))return n.flags&=32767,void(Au=n);if(null===e)return Mu=6,void(Au=null);e.flags|=32768,e.subtreeFlags=0,e.deletions=null}if(null!==(t=t.sibling))return void(Au=t);Au=t=e}while(null!==t);0===Mu&&(Mu=5)}function wc(e,t,n){var r=bt,a=Cu.transition;try{Cu.transition=null,bt=1,function(e,t,n,r){do{Sc()}while(null!==Yu);if(0!==(6&_u))throw Error(i(327));n=e.finishedWork;var a=e.finishedLanes;if(null===n)return null;if(e.finishedWork=null,e.finishedLanes=0,n===e.current)throw Error(i(177));e.callbackNode=null,e.callbackPriority=0;var o=n.lanes|n.childLanes;if(function(e,t){var n=e.pendingLanes&~t;e.pendingLanes=t,e.suspendedLanes=0,e.pingedLanes=0,e.expiredLanes&=t,e.mutableReadLanes&=t,e.entangledLanes&=t,t=e.entanglements;var r=e.eventTimes;for(e=e.expirationTimes;0<n;){var a=31-ot(n),i=1<<a;t[a]=0,r[a]=-1,e[a]=-1,n&=~i}}(e,o),e===Ru&&(Au=Ru=null,Fu=0),0===(2064&n.subtreeFlags)&&0===(2064&n.flags)||Xu||(Xu=!0,Rc(tt,(function(){return Sc(),null}))),o=0!==(15990&n.flags),0!==(15990&n.subtreeFlags)||o){o=Cu.transition,Cu.transition=null;var s=bt;bt=1;var u=_u;_u|=4,Eu.current=null,function(e,t){if(ea=Ht,dr(e=pr())){if("selectionStart"in e)var n={start:e.selectionStart,end:e.selectionEnd};else e:{var r=(n=(n=e.ownerDocument)&&n.defaultView||window).getSelection&&n.getSelection();if(r&&0!==r.rangeCount){n=r.anchorNode;var a=r.anchorOffset,o=r.focusNode;r=r.focusOffset;try{n.nodeType,o.nodeType}catch(x){n=null;break e}var s=0,u=-1,c=-1,l=0,h=0,p=e,d=null;t:for(;;){for(var f;p!==n||0!==a&&3!==p.nodeType||(u=s+a),p!==o||0!==r&&3!==p.nodeType||(c=s+r),3===p.nodeType&&(s+=p.nodeValue.length),null!==(f=p.firstChild);)d=p,p=f;for(;;){if(p===e)break t;if(d===n&&++l===a&&(u=s),d===o&&++h===r&&(c=s),null!==(f=p.nextSibling))break;d=(p=d).parentNode}p=f}n=-1===u||-1===c?null:{start:u,end:c}}else n=null}n=n||{start:0,end:0}}else n=null;for(ta={focusedElem:e,selectionRange:n},Ht=!1,$s=t;null!==$s;)if(e=(t=$s).child,0!==(1028&t.subtreeFlags)&&null!==e)e.return=t,$s=e;else for(;null!==$s;){t=$s;try{var v=t.alternate;if(0!==(1024&t.flags))switch(t.tag){case 0:case 11:case 15:case 5:case 6:case 4:case 17:break;case 1:if(null!==v){var m=v.memoizedProps,g=v.memoizedState,y=t.stateNode,b=y.getSnapshotBeforeUpdate(t.elementType===t.type?m:mi(t.type,m),g);y.__reactInternalSnapshotBeforeUpdate=b}break;case 3:var k=t.stateNode.containerInfo;1===k.nodeType?k.textContent="":9===k.nodeType&&k.documentElement&&k.removeChild(k.documentElement);break;default:throw Error(i(163))}}catch(x){Ic(t,t.return,x)}if(null!==(e=t.sibling)){e.return=t.return,$s=e;break}$s=t.return}v=nu,nu=!1}(e,n),gu(n,e),fr(ta),Ht=!!ea,ta=ea=null,e.current=n,bu(n,e,a),Qe(),_u=u,bt=s,Cu.transition=o}else e.current=n;if(Xu&&(Xu=!1,Yu=e,Qu=a),o=e.pendingLanes,0===o&&(qu=null),function(e){if(it&&"function"===typeof it.onCommitFiberRoot)try{it.onCommitFiberRoot(at,e,void 0,128===(128&e.current.flags))}catch(t){}}(n.stateNode),ac(e,Je()),null!==t)for(r=e.onRecoverableError,n=0;n<t.length;n++)a=t[n],r(a.value,{componentStack:a.stack,digest:a.digest});if(ju)throw ju=!1,e=Ku,Ku=null,e;0!==(1&Qu)&&0!==e.tag&&Sc(),o=e.pendingLanes,0!==(1&o)?e===Zu?Ju++:(Ju=0,Zu=e):Ju=0,Va()}(e,t,n,r)}finally{Cu.transition=a,bt=r}return null}function Sc(){if(null!==Yu){var e=kt(Qu),t=Cu.transition,n=bt;try{if(Cu.transition=null,bt=16>e?16:e,null===Yu)var r=!1;else{if(e=Yu,Yu=null,Qu=0,0!==(6&_u))throw Error(i(331));var a=_u;for(_u|=4,$s=e.current;null!==$s;){var 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e=this;Ae(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))}},{key:"disposeRegisteredKernels",value:function(e){var t=this;Ae(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))}},{key:"initializeBackend",value:function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend ".concat(e,", no registration found."));try{var r=n.factory();if(!r||r instanceof B||"function"!==typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<t.pendingBackendInitId)&&(t.registry[e]=n,t.pendingBackendInit=null,!0)})).catch((function(n){return a<t.pendingBackendInitId||(t.pendingBackendInit=null,De("Initialization of backend ".concat(e," failed")),De(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(o){return De("Initialization of backend ".concat(e," failed")),De(o.stack||o.message),{success:!1,asyncInit:!1}}}},{key:"removeBackend",value:function(e){if(!(e in this.registryFactory))throw new Error("".concat(e," backend not found in registry"));this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}},{key:"getSortedBackends",value:function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))}},{key:"initializeBackendsAndReturnBest",value:function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")}},{key:"moveData",value:function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t),i=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,i),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}},{key:"tidy",value:function(e,t){var n,r=this,a=null;if(null==t){if("function"!==typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!==typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!==typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");a=e}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))}},{key:"scopedRun",value:function(e,t,n){e();try{var r=n();return t(),r}catch(a){throw t(),a}}},{key:"nextTensorId",value:function(){return e.nextTensorId++}},{key:"nextVariableId",value:function(){return e.nextVariableId++}},{key:"clone",value:function(e){var t=St.runKernel(be,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){var t={x:e},n={dtype:"float32"};return St.runKernel(ge,t,n)}}}),[],{}),t}},{key:"runKernel",value:function(e,t,n){if(null==this.backendName&&this.backend,!(null!=_e(e,this.backendName)))throw new Error("Kernel '".concat(e,"' not registered for backend '").concat(this.backendName,"'"));return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}},{key:"shouldCheckForMemLeaks",value:function(){return this.ENV.getBool("IS_TEST")}},{key:"checkKernelForMemLeak",value:function(e,t,n){var r=this.backend.numDataIds(),a=0;n.forEach((function(e){a+="complex64"===e.dtype?3:1}));var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-a-i;if(o>0)throw new Error("Backend '".concat(this.backendName,"' has an internal memory leak ")+"(".concat(o," data ids) after running '").concat(e,"'"))}},{key:"runKernelFunc",value:function(e){var t,n,r,a=this,i=[],o=this.isTapeOn(),s=this.state.numBytes,u=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;var c=bt(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(bt(e)){var l=e.kernelName,h=e.inputs,p=e.attrs;null==this.backendName&&this.backend;var d=_e(l,this.backendName);U(null!=d,(function(){return"Cannot find registered kernel '".concat(l,"' for backend '").concat(a.backendName,"'")})),n=function(){var e=a.backend.numDataIds();r=d.kernelFunc({inputs:h,attrs:p,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(o){var s=a.getTensorsForGradient(l,h,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var f=e.forwardFunc,v=function(e){o&&(i=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return f(a.backend,v)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t),t}}var m,g=e.inputs,y=e.attrs,b=bt(e)?null:e.backwardsFunc;return this.scopedRun((function(){return a.state.kernelDepth++}),(function(){return a.state.kernelDepth--}),(function(){a.ENV.getBool("DEBUG")||a.state.profiling?(m=a.profiler.profileKernel(c,g,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(m),t=m.outputs):t=n()})),o&&this.addTapeNode(c,g,t,b,i,y),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(g).map((function(e){return null!=g[e]?g[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:m.timeMs,extraInfo:m.extraInfo}),Array.isArray(r)?t:t[0]}},{key:"saveTensorsForBackwardMode",value:function(e){var t=this;return e.map((function(e){return t.keep(t.clone(e))}))}},{key:"getTensorsForGradient",value:function(e,t,n){var r=Re(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(U(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),a=Object.keys(t).map((function(e){return t[e]}))):a=i.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return a.concat(s)}return[]}},{key:"makeTensor",value:function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=e;"string"===n&&$(e[0])&&(a=e.map((function(e){return We(e)})));var i=r.write(a,t,n),o=new st(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=function(e){if(null==e)return 0;var t=0;return e.forEach((function(e){return t+=e.length})),t}(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o}},{key:"makeTensorFromDataId",value:function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)}},{key:"makeTensorFromTensorInfo",value:function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,i=new st(r,a,n,this.nextTensorId());return this.trackTensor(i,t),i}},{key:"makeVariable",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new dt(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name ".concat(a.name," was already registered"));return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a}},{key:"trackTensor",value:function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*Z(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof dt||this.track(e)}},{key:"incRef",value:function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}},{key:"removeDataId",value:function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}},{key:"disposeTensor",value:function(e){if(this.state.tensorInfo.has(e.dataId)){var t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){var n=e.size*Z(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}}},{key:"disposeVariables",value:function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}}},{key:"disposeVariable",value:function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]}},{key:"memory",value:function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}},{key:"profile",value:function(){var e=D(A().mark((function e(t){var n,r,a,i,o;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],e.next=6,t();case 6:this.state.activeProfile.result=e.sent,this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,_(this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot})))),this.state.activeProfile.newBytes=this.state.numBytes-n,this.state.activeProfile.newTensors=this.state.numTensors-r,a=O(this.state.activeProfile.kernels),e.prev=12,a.s();case 14:if((i=a.n()).done){e.next=24;break}return o=i.value,e.next=18,o.kernelTimeMs;case 18:return o.kernelTimeMs=e.sent,e.next=21,o.extraInfo;case 21:o.extraInfo=e.sent;case 22:e.next=14;break;case 24:e.next=29;break;case 26:e.prev=26,e.t0=e.catch(12),a.e(e.t0);case 29:return e.prev=29,a.f(),e.finish(29);case 32:return e.abrupt("return",this.state.activeProfile);case 33:case"end":return e.stop()}}),e,this,[[12,26,29,32]])})));return function(t){return e.apply(this,arguments)}}()},{key:"isTapeOn",value:function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth}},{key:"addTapeNode",value:function(e,t,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=Re(e);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=oe(r.size,r.dtype);return o.makeTensor(a,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],a,i)}),this.state.activeTape.push(s)}},{key:"keep",value:function(e){return e.kept=!0,e}},{key:"startTape",value:function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++}},{key:"endTape",value:function(){this.state.gradientDepth--}},{key:"startScope",value:function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}},{key:"endScope",value:function(e){for(var t=this,n=gt(e),r=new Set(n.map((function(e){return e.id}))),a=0;a<this.state.activeScope.track.length;a++){var i=this.state.activeScope.track[a];i.kept||r.has(i.id)||i.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==o.id||t.track(e)}))}},{key:"gradients",value:function(e,t,n){var r=this,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];if(U(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '".concat(n.dtype,"'"));var i=this.scopedRun((function(){return r.startTape()}),(function(){return r.endTape()}),(function(){return r.tidy("forward",e)}));U(i instanceof st,(function(){return"The result y returned by f() must be a tensor."}));var o=function(e,t,n){for(var r={},a={},i=0;i<t.length;i++)r[t[i].id]=!0;for(var o=0;o<e.length;o++){var s=e[o],u=s.inputs;for(var c in u){for(var l=u[c],h=!1,p=0;p<t.length;p++)if(r[l.id]){s.outputs.forEach((function(e){return r[e.id]=!0})),h=!0,a[s.id]=!0;break}if(h)break}}var d={};d[n.id]=!0;for(var f={},v=e.length-1;v>=0;v--)for(var m=e[v],g=m.inputs,y=0;y<m.outputs.length;y++)if(d[m.outputs[y].id]){for(var b in g)d[g[b].id]=!0,f[m.id]=!0;break}for(var k=[],x=0;x<e.length;x++){var w=e[x];if(a[w.id]&&f[w.id]){var S={};for(var N in w.inputs){var I=w.inputs[N];r[I.id]&&(S[N]=I)}var T=Object.assign({},w);T.inputs=S,T.outputs=w.outputs,k.push(T)}}return k}(this.state.activeTape,t,i);if(!a&&0===o.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var e={};e[i.id]=null==n?function(e){var t=ie(j(e),"float32");return St.makeTensor(t,e,"float32")}(i.shape):n,function(e,t,n,r){for(var a=function(){var a=t[i],o=[];if(a.outputs.forEach((function(t){var n=e[t.id];null!=n?o.push(n):o.push(null)})),null==a.gradient)throw new Error("Cannot compute gradient: gradient function not found "+"for ".concat(a.kernelName,"."));var s=a.gradient(o),u=function(t){if(!(t in s))throw new Error("Cannot backprop through input ".concat(t,". ")+"Available gradients found: ".concat(Object.keys(s),"."));var i=n((function(){return s[t]()}));if("float32"!==i.dtype)throw new Error("Error in gradient for op ".concat(a.kernelName,". The gradient of input ")+"".concat(t," must have 'float32' dtype, but has '").concat(i.dtype,"'"));var o=a.inputs[t];if(!K(i.shape,o.shape))throw new Error("Error in gradient for op ".concat(a.kernelName,". The gradient of input ")+"'".concat(t,"' has shape '").concat(i.shape,"', which does not match ")+"the shape of the input '".concat(o.shape,"'"));if(null==e[o.id])e[o.id]=i;else{var u=e[o.id];e[o.id]=r(u,i),u.dispose()}};for(var c in a.inputs)u(c)},i=t.length-1;i>=0;i--)a()}(e,o,(function(e){return r.tidy(e)}),Nt);var a=t.map((function(t){return e[t.id]}));return 0===r.state.gradientDepth&&(r.state.activeTape.forEach((function(e){var t,n=O(e.saved);try{for(n.s();!(t=n.n()).done;){t.value.dispose()}}catch(r){n.e(r)}finally{n.f()}})),r.state.activeTape=null),{value:i,grads:a}}))}},{key:"customGrad",value:function(e){var t=this;return U(te(e),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n=arguments.length,r=new Array(n),a=0;a<n;a++)r[a]=arguments[a];var i;U(r.every((function(e){return e instanceof st})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var o={};r.forEach((function(e,t){o[t]=e}));return t.runKernelFunc({forwardFunc:function(t,n){return U((i=e.apply(void 0,[].concat(r,[n]))).value instanceof st,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),U(te(i.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),i.value},backwardsFunc:function(e,t){var n=i.gradFunc(e,t),a=Array.isArray(n)?n:[n];U(a.length===r.length,(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."})),U(a.every((function(e){return e instanceof st})),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."}));var o={};return a.forEach((function(e,t){o[t]=function(){return e}})),o},inputs:o})}}},{key:"readSync",value:function(e){return this.state.tensorInfo.get(e).backend.readSync(e)}},{key:"read",value:function(e){return this.state.tensorInfo.get(e).backend.read(e)}},{key:"readToGPU",value:function(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}},{key:"time",value:function(){var e=D(A().mark((function e(t){var n,r;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=Be(),e.next=3,this.backend.time(t);case 3:return(r=e.sent).wallMs=Be()-n,e.abrupt("return",r);case 6:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"track",value:function(e){return null!=this.state.activeScope&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}},{key:"registeredVariables",get:function(){return this.state.registeredVariables}},{key:"reset",value:function(){for(var e in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new kt,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}}]),e}();function wt(){var e=ve();if(null==e._tfengine){var t=new le(e);e._tfengine=new xt(t)}return function(e){fe=e}(e._tfengine.ENV),it=function(){return e._tfengine},e._tfengine}xt.nextTensorId=0,xt.nextVariableId=0;var St=wt();function Nt(e,t){var n={a:e,b:t};return St.runKernel("Add",n)}var It=pe();function Tt(e,t){var n=e;if(J(e))return"string"===t?[]:[e.length];if(!Array.isArray(e))return[];for(var r=[];Array.isArray(n)||J(n)&&"string"!==t;)r.push(n.length),n=n[0];return Array.isArray(e)&&pe().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&Et(e,r,[]),r}function Et(e,t,n){if(n=n||[],Array.isArray(e)||J(e)){U(t.length>0,(function(){return"Element arr[".concat(n.join("]["),"] should be a primitive, ")+"but is an array of ".concat(e.length," elements")})),U(e.length===t[0],(function(){return"Element arr[".concat(n.join("]["),"] should have ").concat(t[0]," ")+"elements, but has ".concat(e.length," elements")}));for(var r=t.slice(1),a=0;a<e.length;++a)Et(e[a],r,n.concat(a))}else U(0===t.length,(function(){return"Element arr[".concat(n.join("]["),"] is a primitive, ")+"but should be an array/TypedArray of ".concat(t[0]," elements")}))}function Ct(e,t,n,r){if("string_or_numeric"!==e){if(null==e)throw new Error("Expected dtype cannot be null.");if("numeric"!==e&&e!==t||"numeric"===e&&"string"===t)throw new Error("Argument '".concat(n,"' passed to '").concat(r,"' must ")+"be ".concat(e," tensor, but got ").concat(t," tensor"))}}function _t(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"numeric";if(e instanceof st)return Ct(r,e.dtype,t,n),e;var a=ee(e);if("string"!==a&&["bool","int32","float32"].indexOf(r)>=0&&(a=r),Ct(r,a,t,n),null==e||!J(e)&&!Array.isArray(e)&&"number"!==typeof e&&"boolean"!==typeof e&&"string"!==typeof e){var 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Ra=Ft({equal_:function(e,t){var n=_t(e,"a","equal","string_or_numeric"),r=_t(t,"b","equal","string_or_numeric"),a=C(mt(n,r),2);n=a[0],r=a[1],_a(n.shape,r.shape);var i={a:n,b:r};return St.runKernel("Equal",i)}});var Aa=Ft({where_:function(e,t,n){var r=_t(t,"a","where"),a=_t(n,"b","where"),i=_t(e,"condition","where","bool"),o=_a(_a(i.shape,r.shape),a.shape),s={condition:ra(i,o),t:ra(r,o),e:ra(a,o)};return St.runKernel("Select",s)}});var Fa=Ft({zerosLike_:function(e){var t={x:_t(e,"x","zerosLike")};return St.runKernel("ZerosLike",t)}});var Da=Ft({divNoNan_:function(e,t){var n=_t(e,"a","div"),r=_t(t,"b","div"),a=C(mt(n,r),2);n=a[0],r=a[1];var i=Ca(n,r),o=Fa(i),s=Ra(r,o);return Aa(s,o,i)}});var Oa=Ft({dot_:function(e,t){var n=_t(e,"t1","dot"),r=_t(t,"t2","dot");U((1===n.rank||2===n.rank)&&(1===r.rank||2===r.rank),(function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+"".concat(n.rank," and ").concat(r.rank,".")}));var 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n=_t(e,"a","greaterEqual","string_or_numeric"),r=_t(t,"b","greaterEqual","string_or_numeric"),a=C(mt(n,r),2);n=a[0],r=a[1],_a(n.shape,r.shape);var i={a:n,b:r};return St.runKernel("GreaterEqual",i)}});var ai=Ft({imag_:function(e){var t={input:_t(e,"input","imag")};return St.runKernel("Imag",t)}});var ii=Ft({isFinite_:function(e){var t={x:_t(e,"x","isFinite")};return St.runKernel("IsFinite",t)}});var oi=Ft({isInf_:function(e){var t={x:_t(e,"x","isInf")};return St.runKernel("IsInf",t)}});var si=Ft({isNaN_:function(e){var t={x:_t(e,"x","isNaN")};return St.runKernel("IsNan",t)}});var ui=Ft({leakyRelu_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.2,n={x:_t(e,"x","leakyRelu")},r={alpha:t};return St.runKernel("LeakyRelu",n,r)}});var ci=Ft({less_:function(e,t){var n=_t(e,"a","less","string_or_numeric"),r=_t(t,"b","less","string_or_numeric"),a=C(mt(n,r),2);n=a[0],r=a[1],_a(n.shape,r.shape);var i={a:n,b:r};return St.runKernel("Less",i)}});var li=Ft({lessEqual_:function(e,t){var n=_t(e,"a","lessEqual","string_or_numeric"),r=_t(t,"b","lessEqual","string_or_numeric"),a=C(mt(n,r),2);n=a[0],r=a[1],_a(n.shape,r.shape);var i={a:n,b:r};return St.runKernel("LessEqual",i)}});function hi(e,t,n){if(n<=0)throw new Error("The number of values should be positive.");var r={start:e,stop:t,num:n};return St.runKernel(ke,{},r)}var pi=Ft({localResponseNormalization_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:5,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.5,i=_t(e,"x","localResponseNormalization");U(4===i.rank||3===i.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank ".concat(i.rank,".")})),U(q(t),(function(){return"Error in localResponseNormalization: depthRadius must be an "+"integer but got depthRadius ".concat(t,".")}));var 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Pass non-scalar to pad");var a={paddings:t,constantValue:n},i={x:r};return St.runKernel("PadV2",i,a)}});var Xi=Ft({pad1d_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0;return U(2===t.length,(function(){return"Invalid number of paddings. Must be length of 2."})),qi(e,[t],n)}});var Yi=Ft({pad2d_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0;return U(2===t.length&&2===t[0].length&&2===t[1].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),qi(e,t,n)}});var Qi=Ft({pad3d_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0;return U(3===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),qi(e,t,n)}});var Ji=Ft({pad4d_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0;return U(4===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length&&2===t[3].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),qi(e,t,n)}});var Zi=Ft({spaceToBatchND_:function(e,t,n){var r=_t(e,"x","spaceToBatchND");U(r.rank>=1+t.length,(function(){return"input rank ".concat(r.rank," should be > than [blockShape] ").concat(t.length)})),U(n.length===t.length,(function(){return"paddings.shape[0] ".concat(n.length," must be equal to [blockShape] ").concat(t.length)})),U(r.shape.reduce((function(e,r,a){return a>0&&a<=t.length?e&&(r+n[a-1][0]+n[a-1][1])%t[a-1]===0:e}),!0),(function(){return"input spatial dimensions ".concat(r.shape.slice(1)," with paddings ").concat(n.toString()," must be divisible by blockShapes ").concat(t.toString())}));var a={x:r},i={blockShape:t,paddings:n};return St.runKernel("SpaceToBatchND",a,i)}});var $i=Ft({pool_:function(e,t,n,r,a,i,o){null==a&&(a=[1,1]),null==i&&(i=1),0===r&&(r="valid");var s=_t(e,"x","maxPool"),u=s,c=!1;3===s.rank&&(c=!0,u=Wr(s,[1,s.shape[0],s.shape[1],s.shape[2]])),U(Pr(i,a),(function(){return"Error in pool: Either strides or dilations must be 1. 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St.makeTensor(a,e,n)}}),io=n(213),oo=function(){function e(t,n,r,a,i){M(this,e),this.mean=t,this.stdDev=n,this.dtype=r,this.nextVal=NaN,this.truncated=a,this.truncated&&(this.upper=this.mean+2*this.stdDev,this.lower=this.mean-2*this.stdDev);var o=i||Math.random();this.random=io.alea(o.toString())}return P(e,[{key:"nextValue",value:function(){if(!isNaN(this.nextVal)){var e=this.nextVal;return this.nextVal=NaN,e}for(var t,n,r=!1;!r;){var a=void 0,i=void 0,o=void 0;do{o=(a=2*this.random()-1)*a+(i=2*this.random()-1)*i}while(o>=1||0===o);var s=Math.sqrt(-2*Math.log(o)/o);t=this.mean+this.stdDev*a*s,n=this.mean+this.stdDev*i*s,this.truncated&&!this.isValidTruncated(t)||(r=!0)}return this.truncated&&!this.isValidTruncated(n)||(this.nextVal=this.convertValue(n)),this.convertValue(t)}},{key:"convertValue",value:function(e){return null==this.dtype||"float32"===this.dtype?e:Math.round(e)}},{key:"isValidTruncated",value:function(e){return 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null==t.dtype||"float32"===t.dtype},this.min=n,this.range=r-n,this.dtype=a,null==i&&(i=Math.random()),"number"===typeof i&&(i=i.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error("The difference between ".concat(n," - ").concat(r," <= 1 and dtype is not float"));this.random=io.alea(i)}return P(e,[{key:"convertValue",value:function(e){return this.canReturnFloat()?e:Math.round(e)}},{key:"nextValue",value:function(){return this.convertValue(this.min+this.range*this.random())}}]),e}();var co=Ft({randomGamma_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"float32",a=arguments.length>4?arguments[4]:void 0;if(null==n&&(n=1),null==r&&(r="float32"),"float32"!==r&&"int32"!==r)throw new Error("Unsupported data type ".concat(r));for(var i=new so(t,n,r,a),o=jn(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var lo=Ft({randomNormal_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3?arguments[3]:void 0,a=arguments.length>4?arguments[4]:void 0;if(null!=r&&"bool"===r)throw new Error("Unsupported data type ".concat(r));for(var i=new oo(t,n,r,!1,a),o=jn(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var ho=Ft({randomStandardNormal_:function(e,t,n){if(null!=t&&"bool"===t)throw new Error("Unsupported data type ".concat(t));return lo(e,0,1,t,n)}});var po=Ft({randomUniform_:function(e){for(var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>4?arguments[4]:void 0,a=jn(e,arguments.length>3&&void 0!==arguments[3]?arguments[3]:"float32"),i=new uo(t,n,null,r),o=0;o<a.values.length;o++)a.values[o]=i.nextValue();return a.toTensor()}});function fo(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"float32";if(0===n)throw new Error("Cannot have a step of zero");var a={start:e,stop:t,step:n,dtype:r};return St.runKernel(xe,{},a)}var vo=Ft({real_:function(e){var t={input:_t(e,"input","real")};return St.runKernel("Real",t)}});var mo=Ft({reciprocal_:function(e){var t={x:_t(e,"x","reciprocal")};return St.runKernel("Reciprocal",t)}});var go=Ft({relu_:function(e){var t={x:_t(e,"x","relu")};return St.runKernel("Relu",t)}});var yo=Ft({relu6_:function(e){var t={x:_t(e,"x","relu6")};return St.runKernel("Relu6",t)}});var bo=Ft({reverse_:function(e,t){var n={x:_t(e,"x","reverse")},r={dims:t};return St.runKernel("Reverse",n,r)}});var ko=Ft({reverse1d_:function(e){var t=_t(e,"x","reverse");return U(1===t.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank ".concat(t.rank,".")})),bo(t,0)}});var xo=Ft({reverse2d_:function(e,t){var n=_t(e,"x","reverse");return U(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank ".concat(n.rank,".")})),bo(n,t)}});var wo=Ft({reverse3d_:function(e,t){var n=_t(e,"x","reverse");return U(3===n.rank,(function(){return"Error in reverse3D: x must be rank 3 but got rank ".concat(n.rank,".")})),bo(n,t)}});var So=Ft({reverse4d_:function(e,t){var n=_t(e,"x","reverse");return U(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank ".concat(n.rank,".")})),bo(n,t)}});var No=Ft({round_:function(e){var t={x:_t(e,"x","round")};return St.runKernel("Round",t)}});var Io=Ft({rsqrt_:function(e){var t={x:_t(e,"x","rsqrt","float32")};return St.runKernel("Rsqrt",t)}});var To=Ft({selu_:function(e){var t={x:_t(e,"x","selu")};return St.runKernel("Selu",t)}});var Eo=Ft({separableConv2d_:function(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:[1,1],o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:"NHWC",s=_t(e,"x","separableConv2d"),u=_t(t,"depthwiseFilter","separableConv2d"),c=_t(n,"pointwiseFilter","separableConv2d"),l=s,h=!1;if(3===s.rank&&(h=!0,l=Wr(s,[1,s.shape[0],s.shape[1],s.shape[2]])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");U(4===l.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got "+"rank ".concat(l.rank,".")})),U(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),U(4===c.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),U(1===c.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter "+" must be 1, but got ".concat(c.shape[0],".")})),U(1===c.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise "+"filter must be 1, but got ".concat(c.shape[1],".")}));var p=u.shape[2],d=u.shape[3];U(c.shape[2]===p*d,(function(){return"Error in separableConv2d: the third dimension of pointwise filter "+"must be ".concat(p*d,", ")+"but got ".concat(c.shape[2],".")}));var f=Na(l,u,r,a,o,i),v=ha(f,c,1,"valid",o);return h?Wr(v,[v.shape[1],v.shape[2],v.shape[3]]):v}});function Co(){return Co=D(A().mark((function e(t,n){var r,a,i,o,s,u,c,l,h,p,d;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=_t(t,"x","setdiff1d"),a=_t(n,"y","setdiff1d"),U(r.dtype===a.dtype,(function(){return"x and y should have the same dtype, but got x (".concat(r.dtype,") and y (").concat(a.dtype,").")})),U(1===r.rank,(function(){return"x should be 1D tensor, but got x (".concat(r.shape,").")})),U(1===a.rank,(function(){return"y should be 1D tensor, but got y (".concat(a.shape,").")})),e.next=7,r.data();case 7:return i=e.sent,e.next=10,a.data();case 10:for(o=e.sent,s=new Set(o),u=0,c=0;c<i.length;c++)s.has(i[c])||u++;for(l=new at([u],r.dtype),h=new at([u],"int32"),p=0,d=0;p<i.length;p++)s.has(i[p])||(l.values[d]=i[p],h.values[d]=p,d++);return e.abrupt("return",[l.toTensor(),h.toTensor()]);case 18:case"end":return e.stop()}}),e)}))),Co.apply(this,arguments)}var _o=function(e,t){return Co.apply(this,arguments)};var Ro=Ft({sign_:function(e){var t={x:_t(e,"x","sign")};return St.runKernel("Sign",t)}});var Ao=Ft({sin_:function(e){var t={x:_t(e,"x","sin","float32")};return St.runKernel("Sin",t)}});var Fo=Ft({sinh_:function(e){var t={x:_t(e,"x","sinh")};return St.runKernel("Sinh",t)}});var Do=Ft({slice1d_:function(e,t,n){var r=_t(e,"x","slice1d");return U(1===r.rank,(function(){return"slice1d expects a rank-1 tensor, but got a rank-".concat(r.rank," tensor")})),qr(r,[t],[n])}});var Oo=Ft({slice2d_:function(e,t,n){var r=_t(e,"x","slice2d");return U(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-".concat(r.rank," tensor")})),qr(r,t,n)}});var Mo=Ft({slice3d_:function(e,t,n){var 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".concat(e.rank,"."));if("int32"!==t.dtype)throw new Error("The dtype of 'indices' should be int32, but got dtype: ".concat(t.dtype));if(n.length<1)throw new Error("Output rank must be greater or equal to 1, but got shape: ".concat(n));if(0===n.length){if(0===t.size)throw new Error("Indices specified for empty output. indices shape: ".concat(t.shape));if(0===e.size)throw new Error("Updates specified for empty output. updates shape: ".concat(e.shape))}!function(e,t,n){var r=t.rank>1?t.shape[t.rank-1]:1,a=t.rank>1?t.rank-1:1,i="Must have updates.shape = indices.shape[:batchDim] + "+"shape[sliceDim:], got updates.shape: ".concat(n.shape)+", indices.shape: ".concat(t.shape,", shape: ").concat(e)+", sliceDim: ".concat(r,", and batchDim: ").concat(a,".");if(n.rank<a)throw new Error(i+" update.rank < ".concat(a,". 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St.runKernel("SparseToDense",s,u)}});var ks=Ft({gatherND_:function(e,t){var n=_t(t,"indices","gatherND","int32"),r={params:_t(e,"x","gatherND","string_or_numeric"),indices:n};return St.runKernel("GatherNd",r)}});var xs=Ft({dropout_:function(e,t,n,r){var a=_t(e,"x","dropout");if(U("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be "+"scaled, but got a ".concat(a.dtype," tensor instead.")})),U(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got ".concat(t,".")})),0===t)return e instanceof st?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(K(e.shape,t))return t;if(e.shape.length===t.length){for(var n=[],r=0;r<e.shape.length;r++)null==t[r]&&null!=e.shape[r]?n.push(e.shape[r]):n.push(t[r]);return n}return t}(a,n),o=1-t,s=Ca(ei(xr(po(i,0,1,"float32",r),o)),o);return jr(a,s)}});function ws(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function Ss(e,t,n){for(var r=1-e%2,a=new 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s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},c=St.runKernel("ResizeBilinear",s,u);return o?Wr(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var lu=Ft({resizeNearestNeighbor_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]&&arguments[2],r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=_t(e,"images","resizeNearestNeighbor");U(3===a.rank||4===a.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got "+"rank ".concat(a.rank,".")})),U(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+"".concat(t,".")})),U("float32"===a.dtype||"int32"===a.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"})),U(!1===r||!1===n,(function(){return"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=Wr(a,[1,a.shape[0],a.shape[1],a.shape[2]])),C(t,0);var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},c=St.runKernel("ResizeNearestNeighbor",s,u);return o?Wr(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var hu=Ft({threshold_:function(e){var t,n,r,a,i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"binary",o=arguments.length>2&&void 0!==arguments[2]&&arguments[2],s=arguments.length>3&&void 0!==arguments[3]?arguments[3]:.5,u=_t(e,"image","threshold"),c=u.shape[0]*u.shape[1],l=jr(Yo([s]),255);if(U(3===u.rank,(function(){return"Error in threshold: image must be rank 3,"+"but got rank ".concat(u.rank,".")})),U(3===u.shape[2]||1===u.shape[2],(function(){return"Error in threshold: image color channel must be equal to 3 or 1"+"but got ".concat(u.shape[2],".")})),U("int32"===u.dtype||"float32"===u.dtype,(function(){return"Error in dtype: image dtype must be int32 or float32,"+"but got dtype ".concat(u.dtype,".")})),U("otsu"===i||"binary"===i,(function(){return"Method must be binary or otsu, but was 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0!==arguments[3]?arguments[3]:mu.SUM_BY_NONZERO_WEIGHTS,a=_t(e,"labels","meanSquaredError"),i=_t(t,"predictions","meanSquaredError"),o=null;null!=n&&(o=_t(n,"weights","meanSquaredError")),V(a.shape,i.shape,"Error in meanSquaredError: ");var s=Go(a,i);return yu(s,o,r)}});var Iu=Ft({sigmoidCrossEntropy_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:mu.SUM_BY_NONZERO_WEIGHTS,i=_t(e,"multiClassLabels","sigmoidCrossEntropy"),o=_t(t,"logits","sigmoidCrossEntropy"),s=null;if(null!=n&&(s=_t(n,"weights","sigmoidCrossEntropy")),V(i.shape,o.shape,"Error in sigmoidCrossEntropy: "),r>0){var u=Va(r),c=Va(1),l=Va(.5);i=xr(jr(i,bi(c,u)),jr(l,u))}var h=function(e,t){var n=_t(e,"labels","sigmoidCrossEntropyWithLogits"),r=_t(t,"logits","sigmoidCrossEntropyWithLogits");V(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=go(r),i=jr(r,n),o=fi(Ya(mi(yr(r))));return xr(bi(a,i),o)}(i,o);return yu(h,s,a)}});var Tu=Ft({softmaxCrossEntropy_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:mu.SUM_BY_NONZERO_WEIGHTS,i=_t(e,"onehotLabels","softmaxCrossEntropy"),o=_t(t,"logits","softmaxCrossEntropy"),s=null;if(null!=n&&(s=_t(n,"weights","softmaxCrossEntropy")),V(i.shape,o.shape,"Error in softmaxCrossEntropy: "),r>0){var u=Va(r),c=Va(1),l=Va(i.shape[1]);i=xr(jr(i,bi(c,u)),Ca(u,l))}var h=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet "+"supported. 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r=_t(e,"data","sparseSegmentMean"),a=_t(t,"indices","sparseSegmentMean","int32"),i=_t(n,"segmentIds","sparseSegmentMean","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n          ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n          ".concat(i.shape));var o={data:r,indices:a,segmentIds:i};return St.runKernel("SparseSegmentMean",o)}});var Ru=Ft({sparseSegmentSum_:function(e,t,n){var r=_t(e,"data","sparseSegmentSum"),a=_t(t,"indices","sparseSegmentSum","int32"),i=_t(n,"segmentIds","sparseSegmentSum","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n         ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n         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St.runKernel("StringToHashBucketFast",a,r)}}),Lu={fft:Po,ifft:Bo,rfft:Vo,irfft:Wo},zu={hammingWindow:Ls,hannWindow:zs,frame:Ps,stft:Bs},Pu={flipLeftRight:Us,grayscaleToRGB:Vs,resizeNearestNeighbor:lu,resizeBilinear:cu,rotateWithOffset:Gs,cropAndResize:Ws,nonMaxSuppression:js,nonMaxSuppressionAsync:nu,nonMaxSuppressionWithScore:ru,nonMaxSuppressionWithScoreAsync:iu,nonMaxSuppressionPadded:ou,nonMaxSuppressionPaddedAsync:uu,threshold:hu,transform:pu},Bu={bandPart:du,gramSchmidt:fu,qr:gu},Wu={absoluteDifference:bu,computeWeightedLoss:yu,cosineDistance:ku,hingeLoss:xu,huberLoss:wu,logLoss:Su,meanSquaredError:Nu,sigmoidCrossEntropy:Iu,softmaxCrossEntropy:Tu},Uu={sparseFillEmptyRows:Eu,sparseReshape:Cu,sparseSegmentMean:_u,sparseSegmentSum:Ru},Vu={stringNGrams:Au,stringSplit:Fu,stringToHashBucketFast:Mu};pe().registerFlag("KEEP_INTERMEDIATE_TENSORS",(function(){return!1}),(function(e){e&&console.warn("Keep intermediate tensors is ON. 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Gu={};function Hu(e){return Gu[e]}function ju(e,t,n,r,a){var i=t.inputParams[e];if(i&&void 0!==i.inputIndexStart){var o=i.inputIndexStart,s=0===i.inputIndexEnd?void 0:void 0===i.inputIndexEnd?o+1:i.inputIndexEnd;if("tensor"===i.type)return Ku(t.inputNames[i.inputIndexStart],n,r,a);if("tensors"===i.type)return t.inputNames.slice(o,s).map((function(e){return Ku(e,n,r,a)}));var u=Ku(t.inputNames.slice(o)[0],n,r,a),c=u.dataSync();return"number"===i.type?c[0]:ae(u.shape,c)}var l=t.attrParams[e];return l&&l.value}function Ku(e,t,n,r){var a=C(Yu(e),2),i=a[0],o=a[1];if(null!=r){var s=r.getHashTableHandleByName(i);if(null!=s)return s}var u=n.currentContextIds.find((function(e){return!!t[Xu(i,e)]}));return void 0!==u?t[Xu(i,u)][o]:void 0}function qu(e,t){var n=C(Yu(e),3),r=n[0],a=n[1],i=n[2];return[Xu(r,t&&t.currentContextId),a,i]}function Xu(e,t){return t?"".concat(e,"-").concat(t):e}function Yu(e){var t=e.split(":");if(1===t.length)return[e,0,void 0];var n=t[0],r=3===t.length?t[1]:void 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e(){var t;M(this,e);var n=[r,a,i,o,s,u,c,l,h,p,d,f,v,m,g,y,b,k,x],w=(t=[]).concat.apply(t,_(n.map((function(e){return e.json}))));this.opMappers=w.reduce((function(e,t){return e[t.tfOpName]=t,e}),{})}return P(e,[{key:"transformGraph",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=e.node,a=[],i=[],o=[],s=r.reduce((function(e,n){return e[n.name]=t.mapNode(n),n.op.startsWith("Placeholder")?a.push(e[n.name]):"Const"===n.op?i.push(e[n.name]):null!=n.input&&0!==n.input.length||o.push(e[n.name]),e}),{}),u=[],c=[],l={},h={};null!=n&&(l=this.mapSignatureEntries(n.inputs),h=this.mapSignatureEntries(n.outputs));var p=Object.keys(s);p.forEach((function(e){var t=s[e];t.inputNames.forEach((function(e,n){var r=C(qu(e),3),a=r[0],i=r[2],o=s[a];if(null!=o.outputs){var u=o.outputs.indexOf(i);if(-1!==u){var c="".concat(a,":").concat(u);t.inputNames[n]=c}}t.inputs.push(o),o.children.push(t)}))})),0===Object.keys(h).length?p.forEach((function(e){var t=s[e];0===t.children.length&&c.push(t)})):Object.keys(h).forEach((function(e){var t=C(qu(e),1)[0],n=s[t];null!=n&&(n.signatureKey=h[e],c.push(n))})),Object.keys(l).length>0?Object.keys(l).forEach((function(e){var t=C(qu(e),1)[0],n=s[t];n&&(n.signatureKey=l[e],u.push(n))})):u=a;var d={};null!=e.library&&null!=e.library.function&&(d=e.library.function.reduce((function(e,n){return e[n.signature.name]=t.mapFunction(n),e}),{}));var f={nodes:s,inputs:u,outputs:c,weights:i,placeholders:a,signature:n,functions:d};return o.length>0&&(f.initNodes=o),f}},{key:"mapSignatureEntries",value:function(e){return Object.keys(e||{}).reduce((function(t,n){return t[e[n].name]=n,t}),{})}},{key:"mapNode",value:function(e){var t=Hu(e.op)||this.opMappers[e.op]||{};null==e.attr&&(e.attr={});var n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map((function(e){return e.startsWith("^")?e.slice(1):e})),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return null!=t.inputs&&(n.inputParams=t.inputs.reduce((function(e,t){return e[t.name]={type:t.type,inputIndexStart:t.start,inputIndexEnd:t.end},e}),{})),null!=t.attrs&&(n.attrParams=t.attrs.reduce((function(t,n){var r=n.type,a=void 0;switch(n.type){case"string":void 0===(a=bc(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=bc(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"string[]":void 0===(a=_c(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=_c(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"number":void 0===(a=xc(e.attr,n.tfName,n.defaultValue||0))&&n.tfDeprecatedName&&(a=xc(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"number[]":void 0===(a=Cc(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Cc(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"bool":void 0===(a=kc(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=kc(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"bool[]":void 0===(a=Ac(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Ac(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"shape":void 0===(a=Ec(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Ec(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"shape[]":void 0===(a=Rc(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Rc(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"dtype":void 0===(a=Nc(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Nc(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"dtype[]":void 0===(a=Ic(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Ic(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"func":void 0===(a=Sc(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Sc(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: ".concat(n.type," for op: ").concat(e.op))}return t[n.name]={value:a,type:r},t}),{})),n}},{key:"mapFunction",value:function(e){var t=this,n=e.nodeDef,r=[],a={};null!=n&&(a=n.reduce((function(e,n){return e[n.name]=t.mapNode(n),"Const"===n.op&&r.push(e[n.name]),e}),{}));var i=[],o=[];e.signature.inputArg.forEach((function(e){var t=C(qu(e.name),1)[0],n={name:t,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:wc(e.type),type:"dtype"}},children:[]};n.signatureKey=e.name,i.push(n),a[t]=n})),Object.keys(a).forEach((function(e){var t=a[e];t.inputNames.forEach((function(e,n){var r=C(qu(e),3),i=r[0],o=r[2],s=a[i];if(null!=s.outputs){var u=s.outputs.indexOf(o);if(-1!==u){var c="".concat(i,":").concat(u);t.inputNames[n]=c}}t.inputs.push(s),s.children.push(t)}))}));var s=e.ret;e.signature.outputArg.forEach((function(e){var t=C(qu(s[e.name]),2),n=t[0],r=t[1],i=a[n];null!=i&&(i.defaultOutput=r,o.push(i))}));var u=this.mapArgsToSignature(e);return{nodes:a,inputs:i,outputs:o,weights:r,placeholders:[],signature:u}}},{key:"mapArgsToSignature",value:function(e){var t=this;return{methodName:e.signature.name,inputs:e.signature.inputArg.reduce((function(e,n){return e[n.name]=t.mapArgToTensorInfo(n),e}),{}),outputs:e.signature.outputArg.reduce((function(n,r){return n[r.name]=t.mapArgToTensorInfo(r,e.ret),n}),{})}}},{key:"mapArgToTensorInfo",value:function(e,t){var n=e.name;return null!=t&&(n=t[n]),{name:n,dtype:e.type}}}],[{key:"Instance",get:function(){return this._instance||(this._instance=new this)}}]),e}();function yc(e,t){var n=Array.isArray(e)?String.fromCharCode.apply(null,e):function(e){var t=pe().global;if("undefined"!==typeof t.atob)return t.atob(e);if("undefined"!==typeof Buffer)return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}(e);return t?n:n.toLowerCase()}function bc(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=e[t];return null!=a?yc(a.s,r):n}function kc(e,t,n){var r=e[t];return r?r.b:n}function xc(e,t,n){var r=e[t]||{},a=null!=r.i?r.i:null!=r.f?r.f:n;return"number"===typeof a?a:parseInt(a,10)}function wc(e){switch("string"===typeof e&&(e=Du[e]),e){case Du.DT_FLOAT:case Du.DT_HALF:return"float32";case Du.DT_INT32:case Du.DT_INT64:case Du.DT_INT8:case Du.DT_UINT8:return"int32";case Du.DT_BOOL:return"bool";case Du.DT_DOUBLE:return"float32";case Du.DT_STRING:return"string";default:return null}}function Sc(e,t,n){var r=e[t];return r&&r.func?r.func.name:n}function Nc(e,t,n){var r=e[t];return r&&r.type?wc(r.type):n}function Ic(e,t,n){var r=e[t];return r&&r.list&&r.list.type?r.list.type.map((function(e){return wc(e)})):n}function Tc(e){if(!e.unknownRank)return null!=e.dim?e.dim.map((function(e){return"number"===typeof e.size?e.size:parseInt(e.size,10)})):[]}function Ec(e,t,n){var r=e[t];return r&&r.shape?Tc(r.shape):n}function Cc(e,t,n){var r=e[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map((function(e){return"number"===typeof e?e:parseInt(e,10)})):n}function _c(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=e[t];return a&&a.list&&a.list.s?a.list.s.map((function(e){return yc(e,r)})):n}function Rc(e,t,n){var r=e[t];return r&&r.list&&r.list.shape?r.list.shape.map((function(e){return Tc(e)})):n}function Ac(e,t,n){var r=e[t];return r&&r.list&&r.list.b?r.list.b:n}var Fc=function(){function e(t,n,r){var a=this;M(this,e),this.node=t,this.tensorMap=n,this.context=r,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map((function(e){return a.getInput(e)})),null!=t.rawAttrs&&(this.attrs=Object.keys(t.rawAttrs).reduce((function(e,t){return e[t]=a.getAttr(t),e}),{}))}return P(e,[{key:"getInput",value:function(e){return Ku(e,this.tensorMap,this.context)}},{key:"getAttr",value:function(e,t){var n=this.node.rawAttrs[e];if(null!=n.tensor)return Ku(e,this.tensorMap,this.context);if(null!=n.i||null!=n.f)return xc(this.node.rawAttrs,e,t);if(null!=n.s)return bc(this.node.rawAttrs,e,t);if(null!=n.b)return kc(this.node.rawAttrs,e,t);if(null!=n.shape)return Ec(this.node.rawAttrs,e,t);if(null!=n.type)return Nc(this.node.rawAttrs,e,t);if(null!=n.list){if(null!=n.list.i||null!=n.list.f)return Cc(this.node.rawAttrs,e,t);if(null!=n.list.s)return _c(this.node.rawAttrs,e,t);if(null!=n.list.shape)return Rc(this.node.rawAttrs,e,t);if(null!=n.list.b)return Ac(this.node.rawAttrs,e,t);if(null!=n.list.type)return Ic(this.node.rawAttrs,e,t)}return t}}]),e}();function Dc(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"";if("number"!==typeof e&&"number"!==typeof t){U(e.length===t.length,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}));for(var r=0;r<e.length;r++){var a=e[r],i=t[r];U(a<0||i<0||a===i,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}))}}}function Oc(e){return"number"!==typeof e&&!e.some((function(e){return e<0}))}function Mc(e,t,n){var r=Lc(e,n),a=!Oc(r);if(a&&0===t.length)throw new Error("Tried to calculate elements of an empty list"+" with non-fully-defined elementShape: ".concat(r));if(a&&t.forEach((function(e){r=Lc(e.shape,r)})),!Oc(r))throw new Error("Non-fully-defined elementShape: ".concat(r));return r}function Lc(e,t){if("number"===typeof e)return t;if("number"===typeof t)return e;if(e.length!==t.length)throw new Error("Incompatible ranks during merge: ".concat(e," vs. ").concat(t));for(var n=[],r=0;r<e.length;++r){var a=e[r],i=t[r];if(a>=0&&i>=0&&a!==i)throw new Error("Incompatible shape during merge: ".concat(e," vs. ").concat(t));n[r]=a>=0?a:i}return n}var zc=function(){function e(t,n,r,a,i,o,s){M(this,e),this.name=t,this.dtype=n,this.maxSize=r,this.elementShape=a,this.identicalElementShapes=i,this.dynamicSize=o,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.idTensor=Va(0),fs(this.idTensor)}return P(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"closed",get:function(){return this.closed_}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.tensor.id)||t.tensor.dispose()})),this.tensors=[],this.closed_=!0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"read",value:function(e){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||e>=this.size())throw new Error("Tried to read from index ".concat(e,", but array size is: ").concat(this.size()));var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray ".concat(this.name,": Could not read index ").concat(e," twice because it was cleared after a previous read ")+"(perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}},{key:"readMany",value:function(e){var t=this;return e.map((function(e){return t.read(e)}))}},{key:"write",value:function(e,t){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index ".concat(e,", but array is not resizeable and size is: ").concat(this.maxSize));var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,",\n          because the value dtype is ").concat(t.dtype,", but TensorArray dtype is ").concat(this.dtype,"."));if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),Dc(this.elementShape,t.shape,"TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,".")),n.read)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been read."));if(n.written)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been written."));n.tensor=t,fs(t),n.written=!0,this.tensors[e]=n}},{key:"writeMany",value:function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray ".concat(this.name,": could not write multiple tensors,")+"because the index size: ".concat(e.length," is not the same as tensors size: ").concat(t.length,"."));e.forEach((function(e,r){return n.write(e,t[r])}))}},{key:"gather",value:function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but gather requested dtype ").concat(t));if(e)e=e.slice(0,this.size());else{e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return Mt([],[0].concat(this.elementShape));var r=this.readMany(e);return Dc(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),jo(r,0)}},{key:"concat",value:function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but concat requested dtype ").concat(e));if(0===this.size())return Mt([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return Dc(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape (".concat(this.elementShape,") vs first tensor shape (").concat(r[0].shape,")")),Gr(r,0)}},{key:"scatter",value:function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(e.length," vs. ").concat(t.shape[0]));var n=Math.max.apply(Math,_(e));if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size (".concat(n,"  vs. ").concat(this.maxSize,")"));this.writeMany(e,is(t,0))}},{key:"split",value:function(e,t){var n=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));var r=0,a=e.map((function(e){return r+=e}));if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(r,", and tensor's shape is: ").concat(t.shape));if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths (".concat(this.maxSize," vs. ").concat(e.length,"), ")+"and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:t.size/r,o=[];ds((function(){t=Wr(t,[1,r,i]);for(var s=0;s<e.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,e[s],i];o[s]=Wr(qr(t,u,c),n.elementShape)}return o}));for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)}}]),e}(),Pc=function(){function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1;M(this,e),this.tensors=t,this.elementShape=n,this.elementDtype=r,null!=t&&t.forEach((function(e){if(r!==e.dtype)throw new Error("Invalid data types; op elements ".concat(r,", but list elements ").concat(e.dtype));Dc(n,e.shape,"TensorList shape mismatch: "),fs(e)})),this.idTensor=Va(0),this.maxNumElements=a,fs(this.idTensor)}return P(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"copy",value:function(){return new e(_(this.tensors),this.elementShape,this.elementDtype)}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"stack",value:function(e,t){var n=this,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(-1!==r&&this.tensors.length!==r)throw new Error("Operation expected a list with ".concat(r," elements but got a list with ").concat(this.tensors.length," elements."));Dc(e,this.elementShape,"TensorList shape mismatch: ");var a=Mc(this.elementShape,this.tensors,e);return ds((function(){var e=n.tensors.map((function(e){return Wr(e,a)}));return jo(e,0)}))}},{key:"popBack",value:function(e,t){if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(0===this.size())throw new Error("Trying to pop from an empty list.");var n=Mc(this.elementShape,this.tensors,e),r=this.tensors.pop();return r.kept=!1,Dc(r.shape,e,"TensorList shape mismatch: "),Wr(r,n)}},{key:"pushBack",value:function(e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(this.elementDtype));if(Dc(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");fs(e),this.tensors.push(e)}},{key:"resize",value:function(t){if(t<0)throw new Error("TensorListResize expects size to be non-negative. Got: ".concat(t));if(-1!==this.maxNumElements&&t>this.maxNumElements)throw new Error("TensorListResize input size ".concat(t," is greater maxNumElement ").concat(this.maxNumElements,"."));var n=new e([],this.elementShape,this.elementDtype,this.maxNumElements);n.tensors.length=t;for(var r=0;r<Math.min(this.tensors.length,t);++r)n.tensors[r]=this.tensors[r];return n}},{key:"getItem",value:function(e,t,n){if(n!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(n,", but list elements ").concat(this.elementDtype));if(e<0||e>this.tensors.length)throw new Error("Trying to access element ".concat(e," in a list with ").concat(this.tensors.length," elements."));if(null==this.tensors[e])throw new Error("element at index ".concat(e," is null."));Dc(this.tensors[e].shape,t,"TensorList shape mismatch: ");var r=Mc(this.elementShape,this.tensors,t);return Wr(this.tensors[e],r)}},{key:"setItem",value:function(e,t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t.dtype,", but list elements ").concat(this.elementDtype));if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error("Trying to set element ".concat(e," in a list with max ").concat(this.maxNumElements," elements."));Dc(this.elementShape,t.shape,"TensorList shape mismatch: "),fs(t),null!=this.tensors[e]&&(this.tensors[e].kept=!1),this.tensors[e]=t}},{key:"gather",value:function(e,t,n){var r=this;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));Dc(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());var a=Mc(this.elementShape,this.tensors,n);return 0===e.length?Mt([],[0].concat(a)):ds((function(){var t=e.map((function(e){return Wr(r.tensors[e],a)}));return jo(t,0)}))}},{key:"concat",value:function(e,t){var n=this;if(e&&e!==this.elementDtype)throw new Error("TensorList dtype is ".concat(this.elementDtype," but concat requested dtype ").concat(e));Dc(this.elementShape,t,"TensorList shape mismatch: ");var r=Mc(this.elementShape,this.tensors,t);return 0===this.size()?Mt([],[0].concat(r)):ds((function(){var e=n.tensors.map((function(e){return Wr(e,r)}));return Gr(e,0)}))}}]),e}();function Bc(e,t,n){var r=e.dtype;if(e.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: ".concat(e.shape));if(e.dtype!==n)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(n));Dc(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=is(e);return new Pc(a,t,r)}function Wc(e,t,n,r){return new Pc([],e,t,r)}function Uc(e,t,n,r){if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(t.length," vs. ").concat(e.shape[0]));var a=Math.max.apply(Math,_(t));if(null!=r&&-1!==r&&a>=r)throw new Error("Max index must be < array size (".concat(a,"  vs. ").concat(r,")"));var i=new Pc([],n,e.dtype,r),o=is(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function Vc(e,t,n){var r=0,a=t.map((function(e){return r+=e}));if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(r,", and tensor's shape is: ").concat(e.shape));for(var i=Lc(e.shape.slice(1),n),o=0===r?0:e.size/r,s=ds((function(){var n=[];e=Wr(e,[1,r,o]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,t[s],o];n[s]=Wr(qr(e,u,c),i)}return e.dispose(),n})),u=new Pc([],n,e.dtype,t.length),c=0;c<s.length;c++)u.setItem(c,s[c]);return u}var Gc=function(){var e=D(A().mark((function e(t,n,r){var a,i,o,s,u,c,l,h,p,d,f,v,m,g,y,b,k,x,w,S,N,I,T,E,C,_,R,F,D,O,M,L,z,P,B,W,U,V,G,H,j,K,q,X,Y,Q,J,Z,$,ee,te,ne,re,ae,ie,oe,se,ue,ce,le,he,pe,de,fe,ve,me,ge,ye,be,ke,xe,we,Se,Ne,Ie,Te,Ee,Ce,_e,Re,Ae,Fe,De,Oe,Me,Le,ze,Pe,Be,We,Ue,Ve,Ge,He,je,Ke,qe,Xe,Ye,Qe,Je,Ze,$e,et,tt,nt,rt,at,it,ot;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="If"===e.t0||"StatelessIf"===e.t0?3:"While"===e.t0||"StatelessWhile"===e.t0?15:"LoopCond"===e.t0?33:"Switch"===e.t0?35:"Merge"===e.t0?46:"Enter"===e.t0?51:"Exit"===e.t0?55:"NextIteration"===e.t0?58:"TensorArrayV3"===e.t0?61:"TensorArrayWriteV3"===e.t0?71:"TensorArrayReadV3"===e.t0?77:"TensorArrayGatherV3"===e.t0?81:"TensorArrayScatterV3"===e.t0?86:"TensorArrayConcatV3"===e.t0?92:"TensorArraySplitV3"===e.t0?96:"TensorArraySizeV3"===e.t0?102:"TensorArrayCloseV3"===e.t0?105:"TensorListSetItem"===e.t0?109:"TensorListGetItem"===e.t0?115:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?121:"TensorListReserve"===e.t0||"EmptyTensorList"===e.t0?128:"TensorListGather"===e.t0?136:"TensorListStack"===e.t0?142:"TensorListFromTensor"===e.t0?148:"TensorListConcat"===e.t0||"TensorListConcatV2"===e.t0?154:"TensorListPushBack"===e.t0?159:"TensorListPopBack"===e.t0?164:"TensorListSplit"===e.t0?169:"TensorListLength"===e.t0?175:"TensorListResize"===e.t0?178:184;break;case 3:return a=ju("thenBranch",t,n,r),i=ju("elseBranch",t,n,r),o=ju("cond",t,n,r),s=ju("args",t,n,r),e.next=9,o.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 15:return u=ju("body",t,n,r),c=ju("cond",t,n,r),l=ju("args",t,n,r),e.next=20,r.functionMap[c].executeFunctionAsync(l,r.tensorArrayMap,r.tensorListMap);case 20:return h=e.sent,p=l.map((function(e){return e.id})),e.next=24,h[0].data();case 24:d=e.sent,h.forEach((function(e){e.kept||-1!==p.indexOf(e.id)||e.dispose()})),f=l,v=A().mark((function e(){var t,n,a;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=f,e.next=3,r.functionMap[u].executeFunctionAsync(f,r.tensorArrayMap,r.tensorListMap);case 3:return f=e.sent,n=f.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==p.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[c].executeFunctionAsync(f,r.tensorArrayMap,r.tensorListMap);case 8:return a=e.sent,e.next=11,a[0].data();case 11:d=e.sent,a.forEach((function(e){e.kept||-1!==p.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 28:if(!d[0]){e.next=32;break}return e.delegateYield(v(),"t1",30);case 30:e.next=28;break;case 32:return e.abrupt("return",f);case 33:return m=ju("pred",t,n,r),e.abrupt("return",[Ju(m)]);case 35:return g=ju("pred",t,n,r),(y=ju("data",t,n,r)).kept||(y=Ju(y)),e.next=40,g.data();case 40:if(!e.sent[0]){e.next=44;break}e.t2=[void 0,y],e.next=45;break;case 44:e.t2=[y,void 0];case 45:return e.abrupt("return",e.t2);case 46:if(b=t.inputNames.find((function(e){return void 0!==Ku(e,n,r)})),!b){e.next=50;break}return k=Ku(b,n,r),e.abrupt("return",[Ju(k)]);case 50:return e.abrupt("return",void 0);case 51:return x=ju("frameName",t,n,r),w=ju("tensor",t,n,r),r.enterFrame(x),e.abrupt("return",[Ju(w)]);case 55:return S=ju("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[Ju(S)]);case 58:return N=ju("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[Ju(N)]);case 61:return I=ju("size",t,n,r),T=ju("dtype",t,n,r),E=ju("elementShape",t,n,r),C=ju("dynamicSize",t,n,r),_=ju("clearAfterRead",t,n,r),R=ju("identicalElementShapes",t,n,r),F=ju("name",t,n,r),D=new zc(F,T,I,E,R,C,_),r.addTensorArray(D),e.abrupt("return",[D.idTensor,Va(1)]);case 71:return O=ju("tensorArrayId",t,n,r),M=ju("index",t,n,r),L=ju("tensor",t,n,r),(z=r.getTensorArray(O.id)).write(M,L),e.abrupt("return",[z.idTensor]);case 77:return P=ju("tensorArrayId",t,n,r),B=ju("index",t,n,r),W=r.getTensorArray(P.id),e.abrupt("return",[W.read(B)]);case 81:return U=ju("tensorArrayId",t,n,r),V=ju("indices",t,n,r),G=ju("dtype",t,n,r),H=r.getTensorArray(U.id),e.abrupt("return",[H.gather(V,G)]);case 86:return j=ju("tensorArrayId",t,n,r),K=ju("indices",t,n,r),q=ju("tensor",t,n,r),(X=r.getTensorArray(j.id)).scatter(K,q),e.abrupt("return",[X.idTensor]);case 92:return Y=ju("tensorArrayId",t,n,r),Q=r.getTensorArray(Y.id),J=ju("dtype",t,n,r),e.abrupt("return",[Q.concat(J)]);case 96:return Z=ju("tensorArrayId",t,n,r),$=ju("tensor",t,n,r),ee=ju("lengths",t,n,r),(te=r.getTensorArray(Z.id)).split(ee,$),e.abrupt("return",[te.idTensor]);case 102:return ne=ju("tensorArrayId",t,n,r),re=r.getTensorArray(ne.id),e.abrupt("return",[Va(re.size(),"int32")]);case 105:return ae=ju("tensorArrayId",t,n,r),(ie=r.getTensorArray(ae.id)).clearAndClose(),e.abrupt("return",[ie.idTensor]);case 109:return oe=ju("tensorListId",t,n,r),se=ju("index",t,n,r),ue=ju("tensor",t,n,r),(ce=r.getTensorList(oe.id)).setItem(se,ue),e.abrupt("return",[ce.idTensor]);case 115:return le=ju("tensorListId",t,n,r),he=ju("index",t,n,r),pe=ju("elementShape",t,n,r),de=ju("elementDType",t,n,r),fe=r.getTensorList(le.id),e.abrupt("return",[fe.getItem(he,pe,de)]);case 121:return ve=ju("indices",t,n,r),me=ju("tensor",t,n,r),ge=ju("elementShape",t,n,r),ye=ju("numElements",t,n,r),be=Uc(me,ve,ge,ye),r.addTensorList(be),e.abrupt("return",[be.idTensor]);case 128:return ke=ju("elementShape",t,n,r),xe=ju("elementDType",t,n,r),we="TensorListReserve"===t.op?"numElements":"maxNumElements",Se=ju(we,t,n,r),Ne="TensorListReserve"===t.op?-1:Se,Ie=Wc(ke,xe,0,Ne),r.addTensorList(Ie),e.abrupt("return",[Ie.idTensor]);case 136:return Te=ju("tensorListId",t,n,r),Ee=ju("indices",t,n,r),Ce=ju("elementShape",t,n,r),_e=ju("elementDType",t,n,r),Re=r.getTensorList(Te.id),e.abrupt("return",[Re.gather(Ee,_e,Ce)]);case 142:return Ae=ju("tensorListId",t,n,r),Fe=ju("elementShape",t,n,r),De=ju("elementDType",t,n,r),Oe=ju("numElements",t,n,r),Me=r.getTensorList(Ae.id),e.abrupt("return",[Me.stack(Fe,De,Oe)]);case 148:return Le=ju("tensor",t,n,r),ze=ju("elementShape",t,n,r),Pe=ju("elementDType",t,n,r),Be=Bc(Le,ze,Pe),r.addTensorList(Be),e.abrupt("return",[Be.idTensor]);case 154:return We=ju("tensorListId",t,n,r),Ue=r.getTensorList(We.id),Ve=ju("dtype",t,n,r),Ge=ju("elementShape",t,n,r),e.abrupt("return",[Ue.concat(Ve,Ge)]);case 159:return He=ju("tensorListId",t,n,r),je=ju("tensor",t,n,r),(Ke=r.getTensorList(He.id)).pushBack(je),e.abrupt("return",[Ke.idTensor]);case 164:return qe=ju("tensorListId",t,n,r),Xe=ju("elementShape",t,n,r),Ye=ju("elementDType",t,n,r),Qe=r.getTensorList(qe.id),e.abrupt("return",[Qe.popBack(Xe,Ye)]);case 169:return Je=ju("tensor",t,n,r),Ze=ju("elementShape",t,n,r),$e=ju("lengths",t,n,r),et=Vc(Je,$e,Ze),r.addTensorList(et),e.abrupt("return",[et.idTensor]);case 175:return tt=ju("tensorListId",t,n,r),nt=r.getTensorList(tt.id),e.abrupt("return",[Va(nt.size(),"int32")]);case 178:return rt=ju("tensorListId",t,n,r),at=ju("size",t,n,r),it=r.getTensorList(rt.id),ot=it.resize(at),r.addTensorList(ot),e.abrupt("return",[ot.idTensor]);case 184:throw TypeError("Node type ".concat(t.op," is not implemented"));case 185:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function Hc(e,t,n){var r=C(ju("fusedOps",e,t,n),2),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,c="fusedbatchnorm"===a,l=ju("numArgs",e,t,n);if(o){if(u&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&o&&1!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(c)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");var h=ju("strides",e,t,n),p=Qu(e,t,n),d=ju("dataFormat",e,t,n).toUpperCase(),f=ju("dilations",e,t,n),v=C(ju("args",e,t,n),2),m=v[0],g=v[1];return s&&(g=m,m=void 0),{stride:h,pad:p,dataFormat:d,dilations:f,biasArg:m,preluArg:g,activationFunc:i,leakyreluAlpha:ju("leakyreluAlpha",e,t,n)}}function jc(e,t,n){return{boxes:ju("boxes",e,t,n),scores:ju("scores",e,t,n),maxOutputSize:ju("maxOutputSize",e,t,n),iouThreshold:ju("iouThreshold",e,t,n),scoreThreshold:ju("scoreThreshold",e,t,n),softNmsSigma:ju("softNmsSigma",e,t,n)}}var Kc=function(){var e=D(A().mark((function e(t,n,r,a){var i,o,s,u,c,l,h,p,d,f,v,m,g,y,b,k,x,S,N,I,T,E,C,_,R,F=arguments;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=F.length>4&&void 0!==F[4]?F[4]:w,e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?4:"NonMaxSuppressionV4"===e.t0?9:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?15:"Where"===e.t0?20:"ListDiff"===e.t0?27:28;break;case 4:return o=jc(t,n,r),s=o.boxes,u=o.scores,c=o.maxOutputSize,l=o.iouThreshold,h=o.scoreThreshold,p=o.softNmsSigma,e.next=7,i.image.nonMaxSuppressionWithScoreAsync(s,u,c,l,h,p);case 7:return d=e.sent,e.abrupt("return",[d.selectedIndices,d.selectedScores]);case 9:return f=jc(t,n,r),v=f.boxes,m=f.scores,g=f.maxOutputSize,y=f.iouThreshold,b=f.scoreThreshold,k=ju("padToMaxOutputSize",t,n,r),e.next=13,i.image.nonMaxSuppressionPaddedAsync(v,m,g,y,b,k);case 13:return x=e.sent,e.abrupt("return",[x.selectedIndices,x.validOutputs]);case 15:return S=jc(t,n,r),N=S.boxes,I=S.scores,T=S.maxOutputSize,E=S.iouThreshold,C=S.scoreThreshold,e.next=18,i.image.nonMaxSuppressionAsync(N,I,T,E,C);case 18:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 20:return _=i.cast(ju("condition",t,n,r),"bool"),e.next=23,i.whereAsync(_);case 23:return e.t2=e.sent,R=[e.t2],_.dispose(),e.abrupt("return",R);case 27:return e.abrupt("return",i.setdiff1dAsync(ju("x",t,n,r),ju("y",t,n,r)));case 28:throw TypeError("Node type ".concat(t.op," is not implemented"));case 29:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),qc=function(){function e(t,n){M(this,e),this.keyDType=t,this.valueDType=n,this.handle=Va(0),this.tensorMap=new Map,fs(this.handle)}return P(e,[{key:"id",get:function(){return this.handle.id}},{key:"clearAndClose",value:function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()}},{key:"size",value:function(){return this.tensorMap.size}},{key:"tensorSize",value:function(){return Va(this.size(),"int32")}},{key:"import",value:function(){var e=D(A().mark((function e(t,n){var r,a=this;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",ds((function(){var e=is(n),t=r.length,i=e.length;U(t===i,(function(){return"The number of elements doesn't match, keys has "+"".concat(t," elements, the values has ").concat(i," ")+"elements."}));for(var o=0;o<t;o++){var s=r[o],u=e[o];fs(u),a.tensorMap.set(s,u)}return a.handle})));case 7:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"find",value:function(){var e=D(A().mark((function e(t,n){var r,a=this;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,e.abrupt("return",ds((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return jo(e)})));case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"findWithDefault",value:function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t}},{key:"checkKeyAndValueTensor",value:function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype ".concat(this.keyDType,", but got ")+"".concat(e.dtype));if(t.dtype!==this.valueDType)throw new Error("Expect value dtype ".concat(this.valueDType,", but got ")+"".concat(t.dtype))}}]),e}(),Xc=function(){var e=D(A().mark((function e(t,n,r,a){var i,o,s,u,c,l,h,p,d,f,v,m,g;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?8:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?16:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?24:27;break;case 3:return i=ju("keyDType",t,n,r),o=ju("valueDType",t,n,r),s=new qc(i,o),a.addHashTable(t.name,s),e.abrupt("return",[s.handle]);case 8:return u=ju("tableHandle",t,n,r,a),c=ju("keys",t,n,r),l=ju("values",t,n,r),h=a.getHashTableById(u.id),e.next=14,h.import(c,l);case 14:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 16:return p=ju("tableHandle",t,n,r,a),d=ju("keys",t,n,r),f=ju("defaultValue",t,n,r),v=a.getHashTableById(p.id),e.next=22,v.find(d,f);case 22:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 24:return m=ju("tableHandle",t,n,r,a),g=a.getHashTableById(m.id),e.abrupt("return",[g.tensorSize()]);case 27:throw TypeError("Node type ".concat(t.op," is not implemented"));case 28:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}();function Yc(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:ds,i=function(e,t,n){switch(e.category){case"arithmetic":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add(ju("a",e,t,n),ju("b",e,t,n))];case"AddN":return[r.addN(ju("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod(ju("a",e,t,n),ju("b",e,t,n))];case"Mul":return[r.mul(ju("a",e,t,n),ju("b",e,t,n))];case"RealDiv":case"Div":return[r.div(ju("a",e,t,n),ju("b",e,t,n))];case"DivNoNan":return[r.divNoNan(ju("a",e,t,n),ju("b",e,t,n))];case"FloorDiv":return[r.floorDiv(ju("a",e,t,n),ju("b",e,t,n))];case"Sub":return[r.sub(ju("a",e,t,n),ju("b",e,t,n))];case"Minimum":return[r.minimum(ju("a",e,t,n),ju("b",e,t,n))];case"Maximum":return[r.maximum(ju("a",e,t,n),ju("b",e,t,n))];case"Pow":return[r.pow(ju("a",e,t,n),ju("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference(ju("a",e,t,n),ju("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"basic_math":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"Abs":case"ComplexAbs":return[r.abs(ju("x",e,t,n))];case"Acos":return[r.acos(ju("x",e,t,n))];case"Acosh":return[r.acosh(ju("x",e,t,n))];case"Asin":return[r.asin(ju("x",e,t,n))];case"Asinh":return[r.asinh(ju("x",e,t,n))];case"Atan":return[r.atan(ju("x",e,t,n))];case"Atan2":return[r.atan2(ju("x",e,t,n),ju("y",e,t,n))];case"Atanh":return[r.atanh(ju("x",e,t,n))];case"Ceil":return[r.ceil(ju("x",e,t,n))];case"Complex":return[r.complex(ju("real",e,t,n),ju("imag",e,t,n))];case"Cos":return[r.cos(ju("x",e,t,n))];case"Cosh":return[r.cosh(ju("x",e,t,n))];case"Elu":return[r.elu(ju("x",e,t,n))];case"Erf":return[r.erf(ju("x",e,t,n))];case"Exp":return[r.exp(ju("x",e,t,n))];case"Expm1":return[r.expm1(ju("x",e,t,n))];case"Floor":return[r.floor(ju("x",e,t,n))];case"Log":return[r.log(ju("x",e,t,n))];case"Log1p":return[r.log1p(ju("x",e,t,n))];case"Imag":return[r.imag(ju("x",e,t,n))];case"Neg":return[r.neg(ju("x",e,t,n))];case"Reciprocal":return[r.reciprocal(ju("x",e,t,n))];case"Real":return[r.real(ju("x",e,t,n))];case"Relu":return[r.relu(ju("x",e,t,n))];case"Round":return[r.round(ju("x",e,t,n))];case"Selu":return[r.selu(ju("x",e,t,n))];case"Sigmoid":return[r.sigmoid(ju("x",e,t,n))];case"Sin":return[r.sin(ju("x",e,t,n))];case"Sign":return[r.sign(ju("x",e,t,n))];case"Sinh":return[r.sinh(ju("x",e,t,n))];case"Softplus":return[r.softplus(ju("x",e,t,n))];case"Sqrt":return[r.sqrt(ju("x",e,t,n))];case"Square":return[r.square(ju("x",e,t,n))];case"Tanh":return[r.tanh(ju("x",e,t,n))];case"Tan":return[r.tan(ju("x",e,t,n))];case"ClipByValue":return[r.clipByValue(ju("x",e,t,n),ju("clipValueMin",e,t,n),ju("clipValueMax",e,t,n))];case"Relu6":return[r.relu6(ju("x",e,t,n))];case"Rsqrt":return[r.rsqrt(Ku(e.inputNames[0],t,n))];case"Prod":return[r.prod(ju("x",e,t,n),ju("axes",e,t,n))];case"LeakyRelu":return[r.leakyRelu(ju("x",e,t,n),ju("alpha",e,t,n))];case"Prelu":return[r.prelu(ju("x",e,t,n),ju("alpha",e,t,n))];case"IsNan":return[r.isNaN(Ku(e.inputNames[0],t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"control":return Gc(e,t,n);case"convolution":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"Conv1D":var a=ju("stride",e,t,n),i=ju("pad",e,t,n),o=ju("dataFormat",e,t,n).toUpperCase(),s=ju("dilation",e,t,n);return[r.conv1d(ju("x",e,t,n),ju("filter",e,t,n),a,i,o,s)];case"Conv2D":var u=ju("strides",e,t,n),c=Qu(e,t,n),l=ju("dataFormat",e,t,n).toUpperCase(),h=ju("dilations",e,t,n);return[r.conv2d(ju("x",e,t,n),ju("filter",e,t,n),[u[1],u[2]],c,l,[h[1],h[2]])];case"_FusedConv2D":var p=Hc(e,t,n),d=p.stride,f=p.pad,v=p.dataFormat,m=p.dilations,g=p.biasArg,y=p.preluArg,b=p.activationFunc,k=p.leakyreluAlpha;return[r.fused.conv2d({x:ju("x",e,t,n),filter:ju("filter",e,t,n),strides:[d[1],d[2]],pad:f,dataFormat:v,dilations:[m[1],m[2]],bias:g,activation:b,preluActivationWeights:y,leakyreluAlpha:k})];case"FusedDepthwiseConv2dNative":var x=Hc(e,t,n),S=x.stride,N=x.pad,I=x.dataFormat,T=x.dilations,E=x.biasArg,C=x.preluArg,_=x.activationFunc,R=x.leakyreluAlpha;return[r.fused.depthwiseConv2d({x:ju("x",e,t,n),filter:ju("filter",e,t,n),strides:[S[1],S[2]],pad:N,dataFormat:I,dilations:[T[1],T[2]],bias:E,activation:_,preluActivationWeights:C,leakyreluAlpha:R})];case"Conv2DBackpropInput":case"Conv2dTranspose":var A=ju("outputShape",e,t,n),F=ju("strides",e,t,n),D=Qu(e,t,n);return[r.conv2dTranspose(ju("x",e,t,n),ju("filter",e,t,n),A,[F[1],F[2]],D)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var O=ju("strides",e,t,n),M=Qu(e,t,n),L=ju("dilations",e,t,n),z=ju("dataFormat",e,t,n).toUpperCase();return[r.depthwiseConv2d(ju("input",e,t,n),ju("filter",e,t,n),[O[1],O[2]],M,z,[L[1],L[2]])];case"Conv3D":var P=ju("strides",e,t,n),B=ju("pad",e,t,n),W=ju("dataFormat",e,t,n).toUpperCase(),U=ju("dilations",e,t,n);return[r.conv3d(ju("x",e,t,n),ju("filter",e,t,n),[P[1],P[2],P[3]],B,W,[U[1],U[2],U[3]])];case"AvgPool":var V=ju("strides",e,t,n),G=ju("pad",e,t,n),H=ju("kernelSize",e,t,n);return[r.avgPool(ju("x",e,t,n),[H[1],H[2]],[V[1],V[2]],G)];case"MaxPool":var j=ju("strides",e,t,n),K=ju("pad",e,t,n),q=ju("kernelSize",e,t,n);return[r.maxPool(ju("x",e,t,n),[q[1],q[2]],[j[1],j[2]],K)];case"MaxPoolWithArgmax":var X=ju("strides",e,t,n),Y=ju("pad",e,t,n),Q=ju("kernelSize",e,t,n),J=ju("includeBatchInIndex",e,t,n),Z=r.maxPoolWithArgmax(ju("x",e,t,n),[Q[1],Q[2]],[X[1],X[2]],Y,J);return[Z.result,Z.indexes];case"AvgPool3D":var $=ju("strides",e,t,n),ee=ju("pad",e,t,n),te=ju("kernelSize",e,t,n);return[r.avgPool3d(ju("x",e,t,n),[te[1],te[2],te[3]],[$[1],$[2],$[3]],ee)];case"MaxPool3D":var ne=ju("strides",e,t,n),re=ju("pad",e,t,n),ae=ju("kernelSize",e,t,n);return[r.maxPool3d(ju("x",e,t,n),[ae[1],ae[2],ae[3]],[ne[1],ne[2],ne[3]],re)];case"Dilation2D":var ie=ju("strides",e,t,n),oe=ju("pad",e,t,n),se=ju("dilations",e,t,n),ue=ie[1],ce=ie[2],le=se[1],he=se[2];return[r.dilation2d(ju("x",e,t,n),ju("filter",e,t,n),[ue,ce],oe,[le,he],"NHWC")];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"creation":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"Fill":var a=ju("shape",e,t,n),i=ju("dtype",e,t,n),o=ju("value",e,t,n);return[r.fill(a,o,i)];case"LinSpace":var s=ju("start",e,t,n),u=ju("stop",e,t,n),c=ju("num",e,t,n);return[r.linspace(s,u,c)];case"Multinomial":var l=ju("logits",e,t,n),h=ju("numSamples",e,t,n),p=ju("seed",e,t,n);return[r.multinomial(l,h,p)];case"OneHot":var d=ju("indices",e,t,n),f=ju("depth",e,t,n),v=ju("onValue",e,t,n),m=ju("offValue",e,t,n),g=ju("dtype",e,t,n);return[r.oneHot(d,f,v,m,g)];case"Ones":return[r.ones(ju("shape",e,t,n),ju("dtype",e,t,n))];case"OnesLike":return[r.onesLike(ju("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal(ju("shape",e,t,n),ju("dtype",e,t,n),ju("seed",e,t,n))];case"RandomUniform":return[r.randomUniform(ju("shape",e,t,n),ju("minval",e,t,n),ju("maxval",e,t,n),ju("dtype",e,t,n))];case"Range":var y=ju("start",e,t,n),b=ju("stop",e,t,n),k=ju("step",e,t,n);return[r.range(y,b,k,ju("dtype",e,t,n))];case"TruncatedNormal":var x=ju("shape",e,t,n),S=ju("mean",e,t,n),N=ju("stdDev",e,t,n),I=ju("seed",e,t,n);return[r.truncatedNormal(x,S,N,ju("dtype",e,t,n),I)];case"Zeros":return[r.zeros(ju("shape",e,t,n),ju("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike(ju("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"dynamic":return Kc(e,t,n);case"evaluation":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"LowerBound":var a=ju("sortedSequence",e,t,n),i=ju("values",e,t,n);return[r.lowerBound(a,i)];case"TopKV2":var o=ju("x",e,t,n),s=ju("k",e,t,n),u=ju("sorted",e,t,n),c=r.topk(o,s,u);return[c.values,c.indices];case"UpperBound":var l=ju("sortedSequence",e,t,n),h=ju("values",e,t,n);return[r.upperBound(l,h)];case"Unique":var p=ju("x",e,t,n),d=r.unique(p);return[d.values,d.indices];case"UniqueV2":var f=ju("x",e,t,n),v=ju("axis",e,t,n),m=r.unique(f,v);return[m.values,m.indices];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"image":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"ResizeBilinear":var a=ju("images",e,t,n),i=ju("size",e,t,n),o=ju("alignCorners",e,t,n),s=ju("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[i[0],i[1]],o,s)];case"ResizeNearestNeighbor":var u=ju("images",e,t,n),c=ju("size",e,t,n),l=ju("alignCorners",e,t,n),h=ju("halfPixelCenters",e,t,n);return[r.image.resizeNearestNeighbor(u,[c[0],c[1]],l,h)];case"CropAndResize":var p=ju("image",e,t,n),d=ju("boxes",e,t,n),f=ju("boxInd",e,t,n),v=ju("cropSize",e,t,n),m=ju("method",e,t,n),g=ju("extrapolationValue",e,t,n);return[r.image.cropAndResize(p,d,f,v,m,g)];case"ImageProjectiveTransformV3":var y=ju("images",e,t,n),b=ju("transforms",e,t,n),k=ju("outputShape",e,t,n),x=ju("fillValue",e,t,n),S=ju("interpolation",e,t,n),N=ju("fillMode",e,t,n);return[r.image.transform(y,b,S.toLowerCase(),N.toLowerCase(),x,k)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"graph":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=ju("default",e,t,n);return[Ku(e.name,t,n)||a];case"Placeholder":return[Ku(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":case"Snapshot":return[Ju(ju("x",e,t,n))];case"IdentityN":return ju("x",e,t,n).map((function(e){return Ju(e)}));case"Shape":return[r.tensor1d(ju("x",e,t,n).shape,"int32")];case"ShapeN":return ju("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar(ju("x",e,t,n).size,"int32")];case"Rank":return[r.scalar(ju("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var i=ju("x",e,t,n),o=ju("data",e,t,n),s=ju("message",e,t,n),u=ju("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(s);for(var c=0;c<o.length;c++)console.log(Array.prototype.slice.call(o[c].dataSync()).slice(0,u));return[i];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"logical":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"Equal":return[r.equal(ju("a",e,t,n),ju("b",e,t,n))];case"NotEqual":return[r.notEqual(ju("a",e,t,n),ju("b",e,t,n))];case"Greater":return[r.greater(ju("a",e,t,n),ju("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual(ju("a",e,t,n),ju("b",e,t,n))];case"Less":return[r.less(ju("a",e,t,n),ju("b",e,t,n))];case"LessEqual":return[r.lessEqual(ju("a",e,t,n),ju("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd(ju("a",e,t,n),ju("b",e,t,n))];case"LogicalNot":return[r.logicalNot(ju("a",e,t,n))];case"LogicalOr":return[r.logicalOr(ju("a",e,t,n),ju("b",e,t,n))];case"Select":case"SelectV2":return[r.where(ju("condition",e,t,n),ju("a",e,t,n),ju("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"matrices":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul(ju("a",e,t,n),ju("b",e,t,n),ju("transposeA",e,t,n),ju("transposeB",e,t,n))];case"Einsum":return[r.einsum.apply(r,[ju("equation",e,t,n)].concat(_(ju("tensors",e,t,n))))];case"Transpose":return[r.transpose(ju("x",e,t,n),ju("perm",e,t,n))];case"_FusedMatMul":var a=C(ju("fusedOps",e,t,n),2),i=a[0],o=a[1],s="biasadd"===i,u="prelu"===o,c=ju("numArgs",e,t,n),l=ju("leakyreluAlpha",e,t,n);if(s){if(u&&2!==c)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&1!==c)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var h=C(ju("args",e,t,n),2),p=h[0],d=h[1];return[r.fused.matMul({a:ju("a",e,t,n),b:ju("b",e,t,n),transposeA:ju("transposeA",e,t,n),transposeB:ju("transposeB",e,t,n),bias:p,activation:o,preluActivationWeights:d,leakyreluAlpha:l})];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"normalization":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"EuclideanNorm":return[r.euclideanNorm(ju("x",e,t,n),ju("axis",e,t,n),ju("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm(ju("x",e,t,n),ju("mean",e,t,n),ju("variance",e,t,n),ju("offset",e,t,n),ju("scale",e,t,n),ju("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization(ju("x",e,t,n),ju("radius",e,t,n),ju("bias",e,t,n),ju("alpha",e,t,n),ju("beta",e,t,n))];case"Softmax":return[r.softmax(ju("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax(ju("x",e,t,n))];case"SparseToDense":return[r.sparseToDense(ju("sparseIndices",e,t,n),ju("outputShape",e,t,n),ju("sparseValues",e,t,n),ju("defaultValue",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"reduction":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"Max":var a=ju("axis",e,t,n),i=ju("keepDims",e,t,n);return[r.max(ju("x",e,t,n),a,i)];case"Mean":var o=ju("axis",e,t,n),s=ju("keepDims",e,t,n);return[r.mean(ju("x",e,t,n),o,s)];case"Min":var u=ju("axis",e,t,n),c=ju("keepDims",e,t,n);return[r.min(ju("x",e,t,n),u,c)];case"Sum":var l=ju("axis",e,t,n),h=ju("keepDims",e,t,n);return[r.sum(ju("x",e,t,n),l,h)];case"All":var p=ju("axis",e,t,n),d=ju("keepDims",e,t,n);return[r.all(ju("x",e,t,n),p,d)];case"Any":var f=ju("axis",e,t,n),v=ju("keepDims",e,t,n);return[r.any(ju("x",e,t,n),f,v)];case"ArgMax":var m=ju("axis",e,t,n);return[r.argMax(ju("x",e,t,n),m)];case"ArgMin":var g=ju("axis",e,t,n);return[r.argMin(ju("x",e,t,n),g)];case"Prod":var y=ju("axis",e,t,n),b=ju("keepDims",e,t,n);return[r.prod(ju("x",e,t,n),y,b)];case"Cumprod":var k=ju("axis",e,t,n),x=ju("exclusive",e,t,n),S=ju("reverse",e,t,n);return[r.cumprod(ju("x",e,t,n),k,x,S)];case"Cumsum":var N=ju("axis",e,t,n),I=ju("exclusive",e,t,n),T=ju("reverse",e,t,n);return[r.cumsum(ju("x",e,t,n),N,I,T)];case"Bincount":var E=ju("x",e,t,n),C=ju("weights",e,t,n),_=ju("size",e,t,n);return[r.bincount(E,C,_)];case"DenseBincount":var R=ju("x",e,t,n),A=ju("weights",e,t,n),F=ju("size",e,t,n),D=ju("binaryOutput",e,t,n);return[r.denseBincount(R,A,F,D)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"slice_join":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"ConcatV2":case"Concat":var a=ju("n",e,t,n),i=ju("axis",e,t,n),o=ju("tensors",e,t,n);return o=o.slice(0,a),[r.concat(o,i)];case"Gather":var s=ju("x",e,t,n),u=ju("indices",e,t,n);return[r.gather(s,r.cast(u,"int32"),0)];case"GatherV2":var c=ju("axis",e,t,n),l=ju("batchDims",e,t,n),h=ju("x",e,t,n),p=ju("indices",e,t,n);return[r.gather(h,r.cast(p,"int32"),c,l)];case"Reverse":for(var d=ju("dims",e,t,n),f=[],v=0;v<d.length;v++)d[v]&&f.push(v);var m=ju("x",e,t,n);return[r.reverse(m,f)];case"ReverseV2":var g=ju("axis",e,t,n),y=ju("x",e,t,n);return[r.reverse(y,g)];case"Slice":var b=ju("begin",e,t,n),k=ju("size",e,t,n);return[r.slice(ju("x",e,t,n),b,k)];case"StridedSlice":var x=ju("begin",e,t,n),S=ju("end",e,t,n),N=ju("strides",e,t,n),I=ju("beginMask",e,t,n),T=ju("endMask",e,t,n),E=ju("ellipsisMask",e,t,n),C=ju("newAxisMask",e,t,n),_=ju("shrinkAxisMask",e,t,n),R=ju("x",e,t,n);return[r.stridedSlice(R,x,S,N,I,T,E,C,_)];case"Pack":return ds((function(){var a=ju("axis",e,t,n),i=ju("tensors",e,t,n),o=i[0].shape,s=r.squeeze(i[0]).shape,u=i.map((function(e){var t=K(e.shape,o);if(!t&&!K(r.squeeze(e).shape,s))throw new Error("the input tensors shape does not match");return t?e:r.reshape(e,o)}));return[r.stack(u,a)]}));case"Unpack":var A=ju("axis",e,t,n),F=ju("tensor",e,t,n);return r.unstack(F,A);case"Tile":var D=ju("reps",e,t,n);return[r.tile(ju("x",e,t,n),D)];case"Split":case"SplitV":var O=ju("axis",e,t,n),M=ju("numOrSizeSplits",e,t,n),L=ju("x",e,t,n);return r.split(L,M,O);case"ScatterNd":var z=ju("indices",e,t,n),P=ju("values",e,t,n),B=ju("shape",e,t,n);return[r.scatterND(z,P,B)];case"GatherNd":var W=ju("x",e,t,n),U=ju("indices",e,t,n);return[r.gatherND(W,U)];case"SparseToDense":var V=ju("sparseIndices",e,t,n),G=ju("outputShape",e,t,n),H=ju("sparseValues",e,t,n),j=ju("defaultValue",e,t,n);return[r.sparseToDense(V,H,G,H.dtype===j.dtype?j:r.cast(j,H.dtype))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"sparse":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows(ju("indices",e,t,n),ju("values",e,t,n),ju("denseShape",e,t,n),ju("defaultValue",e,t,n));return[a.outputIndices,a.outputValues,a.emptyRowIndicator,a.reverseIndexMap];case"SparseReshape":var i=r.sparse.sparseReshape(ju("inputIndices",e,t,n),ju("inputShape",e,t,n),ju("newShape",e,t,n));return[i.outputIndices,i.outputShape];case"SparseSegmentMean":return[r.sparse.sparseSegmentMean(ju("data",e,t,n),ju("indices",e,t,n),ju("segmentIds",e,t,n))];case"SparseSegmentSum":return[r.sparse.sparseSegmentSum(ju("data",e,t,n),ju("indices",e,t,n),ju("segmentIds",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"spectral":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"FFT":return[r.fft(ju("x",e,t,n))];case"IFFT":return[r.ifft(ju("x",e,t,n))];case"RFFT":return[r.rfft(ju("x",e,t,n))];case"IRFFT":return[r.irfft(ju("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"string":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"StringNGrams":var a=r.string.stringNGrams(ju("data",e,t,n),ju("dataSplits",e,t,n),ju("separator",e,t,n),ju("nGramWidths",e,t,n),ju("leftPad",e,t,n),ju("rightPad",e,t,n),ju("padWidth",e,t,n),ju("preserveShortSequences",e,t,n));return[a.nGrams,a.nGramsSplits];case"StringSplit":var i=r.string.stringSplit(ju("input",e,t,n),ju("delimiter",e,t,n),ju("skipEmpty",e,t,n));return[i.indices,i.values,i.shape];case"StringToHashBucketFast":return[r.string.stringToHashBucketFast(ju("input",e,t,n),ju("numBuckets",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"transformation":return a((function(){return function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:w;switch(e.op){case"Cast":return[r.cast(ju("x",e,t,n),ju("dtype",e,t,n))];case"ExpandDims":var a=ju("axis",e,t,n);return[r.expandDims(ju("x",e,t,n),a)];case"Squeeze":var i=ju("axis",e,t,n);return[r.squeeze(ju("x",e,t,n),i)];case"Reshape":return[r.reshape(ju("x",e,t,n),ju("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad(ju("x",e,t,n),ju("padding",e,t,n),ju("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad(ju("x",e,t,n),ju("padding",e,t,n),ju("constantValue",e,t,n))];case"SpaceToBatchND":var o=ju("blockShape",e,t,n),s=ju("paddings",e,t,n);return[r.spaceToBatchND(ju("x",e,t,n),o,s)];case"BatchToSpaceND":var u=ju("blockShape",e,t,n),c=ju("crops",e,t,n);return[r.batchToSpaceND(ju("x",e,t,n),u,c)];case"DepthToSpace":var l=ju("blockSize",e,t,n),h=ju("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace(ju("x",e,t,n),l,h)];case"BroadcastTo":return[r.broadcastTo(ju("x",e,t,n),ju("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs(ju("s0",e,t,n),ju("s1",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}}(e,t,n)}));case"hash_table":return Xc(e,t,n,r);case"custom":var i=Hu(e.op);if(i&&i.customExecutor)return i.customExecutor(new Fc(e,t,n));throw TypeError("Custom op ".concat(e.op," is not registered."));default:throw TypeError("Unknown op '".concat(e.op,"'. File an issue at ")+"https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return ue(i)?i.then((function(e){return[].concat(e)})):[].concat(i)}var Qc=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{};M(this,e),this.weightMap=t,this.tensorArrayMap=n,this.tensorListMap=r,this.functionMap=a,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return P(e,[{key:"newFrame",value:function(e,t){return{id:e,frameName:t,iterationId:0}}},{key:"currentContext",get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}},{key:"generateCurrentContextIds",value:function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e}},{key:"contextIdforContexts",value:function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":"".concat(e.frameName,"-").concat(e.iterationId)})).join("/"):""}},{key:"enterFrame",value:function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}},{key:"exitFrame",value:function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()}},{key:"nextIteration",value:function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}},{key:"getWeight",value:function(e){return this.weightMap[e]}},{key:"addTensorArray",value:function(e){this.tensorArrayMap[e.id]=e}},{key:"getTensorArray",value:function(e){return this.tensorArrayMap[e]}},{key:"addTensorList",value:function(e){this.tensorListMap[e.id]=e}},{key:"getTensorList",value:function(e){return this.tensorListMap[e]}},{key:"dispose",value:function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)}}]),e}();function Jc(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,c=Object.keys(e).map((function(e){return Yu(e)[0]})),l=[];null!=r&&(l=r.map((function(e){return Yu(e.name)[0]})));for(var h=_(t);h.length>0;){var p=h.pop();(tl(p)||nl(p)||rl(p))&&null==o&&(s=(o=p).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(p.name),null==n[p.name]&&(-1===c.indexOf(p.name)&&-1===l.indexOf(p.name)&&(0!==p.inputs.length?p.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),h.push(e))})):i.push(p.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}var Zc=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],$c=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],el=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function tl(e){return Zc.indexOf(e.op)>=0}function nl(e){return $c.indexOf(e.op)>=0}function rl(e){return el.indexOf(e.op)>=0}var al=function(){function e(t,n){var r=this;M(this,e),this.graph=t,this.parent=n,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.intermediateTensors={},this.keepTensorForDebug=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}return P(e,[{key:"weightIds",get:function(){return this.parent?this.parent.weightIds:this._weightIds}},{key:"functionExecutorMap",get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}},{key:"weightMap",get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(e){var t,n=Object.keys(e).map((function(t){return e[t].map((function(e){return e.id}))}));this._weightIds=(t=[]).concat.apply(t,_(n)),this._weightMap=e}},{key:"resourceManager",set:function(e){this._resourceManager=e}},{key:"inputs",get:function(){return this._inputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"outputs",get:function(){return this._outputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"inputNodes",get:function(){return this._inputs.map((function(e){return e.signatureKey||e.name}))}},{key:"outputNodes",get:function(){return this._outputs.map((function(e){var t=e.signatureKey||e.name;return e.defaultOutput?"".concat(t,":").concat(e.defaultOutput):t}))}},{key:"functions",get:function(){var e=this;return Object.keys(this._functions).reduce((function(t,n){return t[n]=e._functions[n].signature,t}),{})}},{key:"getCompilationKey",value:function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)}},{key:"compile",value:function(e,t){var n=Jc(e,t,this.weightMap,this._initNodes),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '".concat(a.name,"', which has ")+"the dynamic op '".concat(a.op,"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+"dynamic ops, specify the inputs [".concat(i,"]"));if(r.length>0){var o=t.map((function(e){return e.name})),s=Object.keys(e);throw new Error("Cannot compute the outputs [".concat(o,"] from the provided inputs ")+"[".concat(s,"]. Missing the following inputs: [").concat(r,"]"))}return function(e,t,n){var r=n.usedNodes,a=n.inputs,i=[],o=Object.keys(a).map((function(e){return Yu(e)[0]})).map((function(t){return e.nodes[t]})),s=e.initNodes;o.forEach((function(e){r.has(e.name)&&i.push(e)})),e.weights.forEach((function(e){r.has(e.name)&&i.push(e)})),null!=s&&s.forEach((function(e){r.has(e.name)&&i.push(e)}));for(var u=new Set,c=[];i.length>0;){var l=i.pop();u.add(l.name),t[l.name]||c.push(l),l.children.forEach((function(e){!u.has(e.name)&&r.has(e.name)&&e.inputs.every((function(e){return u.has(e.name)}))&&i.push(e)}))}return c}(this.graph,this.weightMap,n)}},{key:"execute",value:function(e,t){var n=this;e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var a=r.map((function(e){return n.graph.nodes[Yu(e)[0]]})),i=t.map((function(e){return Yu(e)[0]})),o=i.map((function(e){return n.graph.nodes[e]}));this.resetIntermediateTensors(),0===o.length&&(o=this._outputs);var s=this.getCompilationKey(a,o),u=this.compiledMap.get(s);null==u&&(u=this.compile(e,o),this.compiledMap.set(s,u));var c={},l={};return ds((function(){var r=new Qc(n.weightMap,c,l,n.functionExecutorMap),a=Object.assign({},n.weightMap);Object.keys(e).forEach((function(t){var n=C(Yu(t),2),r=n[0],i=[];i[n[1]]=e[t],a[r]=i}));for(var o=n.getFrozenTensorIds(a),s={},h=0;h<u.length;h++){var p=u[h];if(!a[p.name]){var d=Yc(p,a,r,n._resourceManager);if(ue(d))throw new Error("The execution of the op '".concat(p.op,"' returned a promise. ")+"Please use model.executeAsync() instead.");a[p.name]=d,n.checkTensorForDisposal(p.name,p,a,r,o,i,s)}}return null==n.parent&&r.dispose(o),t.map((function(e){return Ku(e,a,r)}))}))}},{key:"getFrozenTensorIds",value:function(e){var t=[].concat.apply([],Object.keys(e).map((function(t){return e[t]})).map((function(e){return e.map((function(e){return e.id}))})));return new Set(t)}},{key:"checkTensorForDisposal",value:function(e,t,n,r,a,i,o){var s=this;"control"!==t.category&&-1===i.indexOf(e)&&(n[e].forEach((function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)})),t.inputs.forEach((function(e){if("control"!==e.category){var i=function(e,t,n){return t[Xu(e,n.currentContextId)]}(e.name,n,r);null!=i&&i.forEach((function(e){if(e&&!e.kept&&!a.has(e.id)){var n=o[e.id];if(1===n){if(s.keepTensorForDebug){var i=C(qu(t.name,r),2),u=i[0],c=i[1];s.intermediateTensors[u]||(s.intermediateTensors[u]=[]),s.intermediateTensors[u][c]=e}else e.dispose();delete o[e.id]}else null!=n&&o[e.id]--}}))}})))}},{key:"executeAsync",value:function(){var e=D(A().mark((function e(t,n){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this._executeAsync(t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"disposeIntermediateTensors",value:function(){var e=this;this.intermediateTensors&&(Object.keys(this.intermediateTensors).forEach((function(t){return e.intermediateTensors[t].forEach((function(e){return e.dispose()}))})),this.disposeTensorsMap())}},{key:"disposeTensorsMap",value:function(){var e=this;this.tensorsMap&&Object.keys(this.tensorsMap).forEach((function(t){e.tensorsMap[t].forEach((function(t){!t||t.kept||t.isDisposed||e.keepIds.has(t.id)||t.dispose()}))}))}},{key:"getIntermediateTensors",value:function(){return this.tensorsMap}},{key:"resetIntermediateTensors",value:function(){for(var e in this.intermediateTensors)this.intermediateTensors[e].forEach((function(e){return e.dispose()})),delete this.intermediateTensors[e]}},{key:"_executeAsync",value:function(){var e=D(A().mark((function e(t,n){var r,a,i,o,s,u,c,l=this,h=arguments;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:a=h.length>3&&void 0!==h[3]?h[3]:{},i=h.length>4&&void 0!==h[4]?h[4]:{},(r=h.length>2&&void 0!==h[2]&&h[2])||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepTensorForDebug=pe().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(p){console.warn(p.message)}return this.resetIntermediateTensors(),o=new Qc(this.weightMap,a,i,this.functionExecutorMap),e.next=9,this.executeWithControlFlow(t,o,n,r);case 9:return this.tensorsMap=e.sent,s=n.map((function(e){return Ku(e,l.tensorsMap,o)})),u=s.map((function(e){return e.id})),c=Object.keys(t).map((function(e){return t[e].id})),this.keepIds=new Set([].concat(_(u),_(c),_(this.weightIds))),this.keepTensorForDebug||this.disposeTensorsMap(),null==this.parent&&o.dispose(this.keepIds),e.abrupt("return",s);case 17:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"executeFunctionAsync",value:function(){var e=D(A().mark((function e(t,n,r){var a,i=this;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=t.reduce((function(e,t,n){return e[i.inputs[n].name]=t,e}),{}),e.abrupt("return",this._executeAsync(a,this.outputNodes,!0,n,r));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n,r){return e.apply(this,arguments)}}()},{key:"executeWithControlFlow",value:function(){var e=D(A().mark((function e(t,n,r,a){var i,o,s,u,c,l,h,p,d,f,v,m,g,y,b,k,x,w=this;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=Object.keys(t),o=i.map((function(e){return w.graph.nodes[Yu(e)[0]]})),s=r.map((function(e){return Yu(e)[0]})),0===(u=s.map((function(e){return w.graph.nodes[e]}))).length&&(u=this._outputs),c=Jc(t,u,this.weightMap,this._initNodes),l=c.usedNodes,h=c.missingInputs,p=c.dynamicNode,d=c.syncInputs,f=[].concat(_(o),_(this.graph.weights),_(this._initNodes||[])).map((function(e){return{node:e,contexts:n.currentContext}})),v=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=C(Yu(e),2),r=n[0],a=[];a[n[1]]=t[e],v[r]=a})),m={},g=this.getFrozenTensorIds(v),y={};case 12:if(!(f.length>0)){e.next=18;break}return b=this.processStack(o,f,n,v,y,g,s,m,l),e.next=16,Promise.all(b);case 16:e.next=12;break;case 18:if(null!=p||a||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),!((k=u.filter((function(e){return!tl(e)&&!Ku(e.name,v,n)})).map((function(e){return e.name}))).length>0)){e.next=24;break}throw x="",null!=p&&(x="Alternatively, to avoid the dynamic ops, use model.execute() "+"and specify the inputs [".concat(d,"]")),new Error("Cannot compute the outputs [".concat(k,"] from the provided ")+"inputs [".concat(i,"]. Consider providing the following inputs: ")+"[".concat(h,"]. ").concat(x));case 24:return e.abrupt("return",v);case 25:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a){return e.apply(this,arguments)}}()},{key:"processStack",value:function(e,t,n,r,a,i,o,s,u){for(var c=this,l=[],h=function(){var e=t.pop();n.currentContext=e.contexts;var h="";if("Enter"===e.node.op&&ju("isConstant",e.node,r,n)){var p=C(qu(e.node.name,n),1);h=p[0]}if(null==r[e.node.name]){var d=Yc(e.node,r,n,c._resourceManager);if(!h){var f=C(qu(e.node.name,n),1);h=f[0]}var v=n.currentContext;ue(d)?l.push(d.then((function(l){return r[h]=l,n.currentContext=v,c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u),l}))):(r[h]=d,c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u))}else c.processChildNodes(e.node,t,n,r,a,u)};t.length>0;)h();return l}},{key:"processChildNodes",value:function(e,t,n,r,a,i){e.children.forEach((function(e){var o=C(qu(e.name,n),1)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!Ku(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!Ku(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})))}))}},{key:"dispose",value:function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))}},{key:"checkInputShapeAndType",value:function(e){var t=this;Object.keys(e).forEach((function(n){var r=e[n],a=C(Yu(n),1)[0],i=t.graph.nodes[a];if(i.attrParams.shape&&i.attrParams.shape.value){var o=i.attrParams.shape.value;U(o.length===r.shape.length&&r.shape.every((function(e,t){return-1===o[t]||o[t]===e})),(function(){return"The shape of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be [".concat(o,"], but was ")+"[".concat(r.shape,"]")}))}i.attrParams.dtype&&i.attrParams.dtype.value&&U(r.dtype===i.attrParams.dtype.value,(function(){return"The dtype of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be "+"".concat(i.attrParams.dtype.value,", but was ").concat(r.dtype)}))}))}},{key:"mapInputs",value:function(e){var t={};for(var n in e){if(null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[n])t[this._signature.inputs[n].name]=e[n];else t[n]=e[n]}return t}},{key:"checkInputs",value:function(e){var t=this,n=Object.keys(e).filter((function(e){var n=C(Yu(e),1)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has "+"keys: [".concat(n,"] that are not part of graph"))}},{key:"mapOutputs",value:function(e){var t=this;return e.map((function(e){return null!=t._signature&&null!=t._signature.outputs&&null!=t._signature.outputs[e]?t._signature.outputs[e].name:e}),{})}},{key:"checkOutputs",value:function(e){var t=this;e.forEach((function(e){var n=C(Yu(e),1)[0];if(!t.graph.nodes[n])throw new Error("The output '".concat(e,"' is not found in the graph"))}))}}]),e}(),il=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};M(this,e),this.hashTableNameToHandle=t,this.hashTableMap=n}return P(e,[{key:"addHashTable",value:function(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}},{key:"getHashTableHandleByName",value:function(e){return this.hashTableNameToHandle[e]}},{key:"getHashTableById",value:function(e){return this.hashTableMap[e]}},{key:"dispose",value:function(){for(var e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(var t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}}]),e}(),ol="?tfjs-format=file",sl="model.json",ul=function(){function t(n){var r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},a=arguments.length>2&&void 0!==arguments[2]?arguments[2]:e;M(this,t),this.modelUrl=n,this.loadOptions=r,this.version="n/a",this.io=a,null==r&&(this.loadOptions={}),this.resourceManager=new il}return P(t,[{key:"modelVersion",get:function(){return this.version}},{key:"inputNodes",get:function(){return this.executor.inputNodes}},{key:"outputNodes",get:function(){return this.executor.outputNodes}},{key:"inputs",get:function(){return this.executor.inputs}},{key:"outputs",get:function(){return this.executor.outputs}},{key:"weights",get:function(){return this.executor.weightMap}},{key:"metadata",get:function(){return this.artifacts.userDefinedMetadata}},{key:"modelSignature",get:function(){return this.signature}},{key:"modelStructuredOutputKeys",get:function(){return this.structuredOutputKeys}},{key:"findIOHandler",value:function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{var t=this.io.getLoadHandlers(e,this.loadOptions);if(0===t.length)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one (".concat(t.length,") load handlers for ")+"URL '".concat([e],"'"));this.handler=t[0]}}},{key:"load",value:function(){var e=this;if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");var t=this.handler.load();return ue(t)?t.then((function(t){return e.loadSync(t)})):this.loadSync(t)}},{key:"loadSync",value:function(e){this.artifacts=e;var t=this.artifacts.modelTopology,n=this.artifacts.signature;if(null!=this.artifacts.userDefinedMetadata){var r=this.artifacts.userDefinedMetadata;null!=r.signature&&(n=r.signature),null!=r.structuredOutputKeys&&(this.structuredOutputKeys=r.structuredOutputKeys)}this.signature=n,this.version="".concat(t.versions.producer,".").concat(t.versions.minConsumer);var a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new al(gc.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){var i=gc.Instance.transformGraph(e.modelInitializer);this.initializer=new al(i),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}},{key:"save",value:function(){var e=D(A().mark((function e(t,n){var r;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!==typeof t){e.next=9;break}if(0!==(r=this.io.getSaveHandlers(t)).length){e.next=6;break}throw new Error("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(r.length>1)){e.next=8;break}throw new Error("Found more than one (".concat(r.length,") save handlers for ")+"URL '".concat(t,"'"));case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.abrupt("return",t.save(this.artifacts));case 12:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"predict",value:function(e,t){var n=this,r=this.execute(e,this.outputNodes);if(this.structuredOutputKeys){var a={};return(r instanceof st?[r]:r).forEach((function(e,t){return a[n.structuredOutputKeys[t]]=e})),a}return r}},{key:"normalizeInputs",value:function(e){if(!(e instanceof st)&&!Array.isArray(e))return e;if((e=Array.isArray(e)?e:[e]).length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,"+"the graph model has ".concat(this.inputNodes.length," placeholders, ")+"while there are ".concat(e.length," input tensors."));return this.inputNodes.reduce((function(t,n,r){return t[n]=e[r],t}),{})}},{key:"normalizeOutputs",value:function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}},{key:"execute",value:function(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]}},{key:"executeAsync",value:function(){var e=D(A().mark((function e(t,n){var r;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=this.normalizeInputs(t),n=this.normalizeOutputs(n),e.next=4,this.executor.executeAsync(t,n);case 4:return r=e.sent,e.abrupt("return",r.length>1?r:r[0]);case 6:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"getIntermediateTensors",value:function(){return this.executor.getIntermediateTensors()}},{key:"disposeIntermediateTensors",value:function(){this.executor.disposeIntermediateTensors()}},{key:"convertTensorMapToTensorsMap",value:function(e){return Object.keys(e).reduce((function(t,n){return t[n]=[e[n]],t}),{})}},{key:"dispose",value:function(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}}]),t}();function cl(e){return ll.apply(this,arguments)}function ll(){return ll=D(A().mark((function t(n){var r,a,i,o=arguments;return A().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:if(r=o.length>1&&void 0!==o[1]?o[1]:{},a=o.length>2&&void 0!==o[2]?o[2]:e,null!=n){t.next=4;break}throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");case 4:return null==r&&(r={}),r.fromTFHub&&"string"===typeof n&&(n=hl(n)),i=new ul(n,r,a),t.next=9,i.load();case 9:return t.abrupt("return",i);case 10:case"end":return t.stop()}}),t)}))),ll.apply(this,arguments)}function hl(e){return e.endsWith("/")||(e+="/"),"".concat(e).concat(sl).concat(ol)}function pl(e,t,n,r){return new(n||(n=Promise))((function(a,i){function o(e){try{u(r.next(e))}catch(e){i(e)}}function s(e){try{u(r.throw(e))}catch(e){i(e)}}function u(e){var t;e.done?a(e.value):(t=e.value,t instanceof n?t:new n((function(e){e(t)}))).then(o,s)}u((r=r.apply(e,t||[])).next())}))}function dl(e,t){var n,r,a,i,o={label:0,sent:function(){if(1&a[0])throw a[1];return a[1]},trys:[],ops:[]};return i={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(i[Symbol.iterator]=function(){return this}),i;function s(i){return function(s){return function(i){if(n)throw new TypeError("Generator is already 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To get the original bytes, call tensor.bytes().")}return e}},{key:"bytes",value:function(){var e=D(A().mark((function e(){var t;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.throwIfDisposed(),e.next=3,fv().read(this.dataId);case 3:if(t=e.sent,"string"!==this.dtype){e.next=8;break}return e.abrupt("return",t);case 8:return e.abrupt("return",new Uint8Array(t.buffer));case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"dispose",value:function(){this.isDisposed||(fv().disposeTensor(this),this.isDisposedInternal=!0)}},{key:"isDisposed",get:function(){return this.isDisposedInternal}},{key:"throwIfDisposed",value:function(){if(this.isDisposed)throw new Error("Tensor is disposed.")}},{key:"print",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];return vv.print(this,e)}},{key:"clone",value:function(){return this.throwIfDisposed(),vv.clone(this)}},{key:"toString",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];return uv(this.dataSync(),this.shape,this.dtype,e)}},{key:"cast",value:function(e){return this.throwIfDisposed(),vv.cast(this,e)}},{key:"variable",value:function(){var e=!(arguments.length>0&&void 0!==arguments[0])||arguments[0],t=arguments.length>1?arguments[1]:void 0,n=arguments.length>2?arguments[2]:void 0;return this.throwIfDisposed(),fv().makeVariable(this,e,t,n)}}]),e}();function gv(){return mh("Tensor",(function(){return mv}))}Object.defineProperty(mv,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.data&&null!=e.dataSync&&null!=e.throwIfDisposed}}),gv();var yv,bv,kv,xv,wv,Sv=function(e){je(n,e);var t=Ye(n);function n(e,r,a,i){var o;return M(this,n),(o=t.call(this,e.shape,e.dtype,e.dataId,i)).trainable=r,o.name=a,o}return P(n,[{key:"assign",value:function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value (".concat(e.dtype,") and ")+"previous value (".concat(this.dtype,") must match"));if(!Ll(e.shape,this.shape))throw new Error("shape of the new value (".concat(e.shape,") and ")+"previous value (".concat(this.shape,") must match"));fv().disposeTensor(this),this.dataId=e.dataId,fv().incRef(this,null)}},{key:"dispose",value:function(){fv().disposeVariable(this),this.isDisposedInternal=!0}}]),n}(mv);Object.defineProperty(Sv,Symbol.hasInstance,{value:function(e){return e instanceof mv&&null!=e.assign&&e.assign instanceof Function}}),function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"}(yv||(yv={})),function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(bv||(bv={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(kv||(kv={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(xv||(xv={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(wv||(wv={}));var Nv={float32:xv,int32:bv,bool:kv,complex64:wv};function Iv(e,t){if("string"===e||"string"===t){if("string"===e&&"string"===t)return"string";throw new Error("Can not upcast ".concat(e," with ").concat(t))}return Nv[e][t]}function Tv(e){return Iv(e,"int32")}function Ev(e){return null!=e&&"object"===typeof e&&"texture"in e&&e.texture instanceof WebGLTexture}function Cv(e){return"undefined"!==typeof GPUBuffer&&null!=e&&"object"===typeof e&&"buffer"in e&&e.buffer instanceof GPUBuffer}function _v(e,t){if(e.dtype===t.dtype)return[e,t];var n=Iv(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function Rv(e,t){return t.some((function(t){return t.id===e.id}))}function Av(e){var t=[];return Fv(e,t,new Set),t}function Fv(e,t,n){if(null!=e)if(e instanceof mv)t.push(e);else if(r=e,Array.isArray(r)||"object"===typeof r){var r,a=e;for(var i in a){var o=a[i];n.has(o)||(n.add(o),Fv(o,t,n))}}}function Dv(e){return null!=e.kernelName}var Ov=function(){function e(){M(this,e),this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map((function(e){return e.name}))))}}}return P(e,[{key:"dispose",value:function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()}}]),e}(),Mv=function(){function e(t){M(this,e),this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ov}return P(e,[{key:"ready",value:function(){var e=D(A().mark((function e(){var t,n,r;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.pendingBackendInit){e.next=2;break}return e.abrupt("return",this.pendingBackendInit.then((function(){})));case 2:if(null==this.backendInstance){e.next=4;break}return e.abrupt("return");case 4:t=this.getSortedBackends(),n=0;case 6:if(!(n<t.length)){e.next=18;break}return r=t[n],e.next=10,this.initializeBackend(r).success;case 10:if(!e.sent){e.next=15;break}return e.next=14,this.setBackend(r);case 14:return e.abrupt("return");case 15:n++,e.next=6;break;case 18:throw new Error("Could not initialize any backends, all backend initializations failed.");case 19:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"backend",get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '".concat(this.backendName,"' has not yet been initialized. Make ")+"sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var e=this.initializeBackendsAndReturnBest(),t=e.name;if(e.asyncInit)throw new Error("The highest priority backend '".concat(t,"' has not yet been ")+"initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(t)}return this.backendInstance}},{key:"backendNames",value:function(){return Object.keys(this.registryFactory)}},{key:"findBackend",value:function(e){if(!(e in this.registry)){if(!(e in this.registryFactory))return null;if(this.initializeBackend(e).asyncInit)return null}return this.registry[e]}},{key:"findBackendFactory",value:function(e){return e in this.registryFactory?this.registryFactory[e].factory:null}},{key:"registerBackend",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1;return e in this.registryFactory?(Ef("".concat(e," backend was already registered. ")+"Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)}},{key:"setBackend",value:function(){var e=D(A().mark((function e(t){var n,r;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.registryFactory[t]){e.next=2;break}throw new Error("Backend name '".concat(t,"' not found in registry"));case 2:if(this.backendName=t,null!=this.registry[t]){e.next=16;break}if(this.backendInstance=null,n=this.initializeBackend(t),r=n.success,!n.asyncInit){e.next=12;break}return e.next=9,r;case 9:e.t0=e.sent,e.next=13;break;case 12:e.t0=r;case 13:if(e.t0){e.next=16;break}return e.abrupt("return",!1);case 16:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new rv(this.backendInstance),e.abrupt("return",!0);case 20:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"setupRegisteredKernels",value:function(){var e=this;Ff(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))}},{key:"disposeRegisteredKernels",value:function(e){var t=this;Ff(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))}},{key:"initializeBackend",value:function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend ".concat(e,", no registration found."));try{var r=n.factory();if(!r||r instanceof Il||"function"!==typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<t.pendingBackendInitId)&&(t.registry[e]=n,t.pendingBackendInit=null,!0)})).catch((function(n){return a<t.pendingBackendInitId||(t.pendingBackendInit=null,Ef("Initialization of backend ".concat(e," failed")),Ef(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(iX){return Ef("Initialization of backend ".concat(e," failed")),Ef(iX.stack||iX.message),{success:!1,asyncInit:!1}}}},{key:"removeBackend",value:function(e){if(!(e in this.registryFactory))throw new Error("".concat(e," backend not found in registry"));this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}},{key:"getSortedBackends",value:function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))}},{key:"initializeBackendsAndReturnBest",value:function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")}},{key:"moveData",value:function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t),i=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,i),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}},{key:"tidy",value:function(e,t){var n,r=this,a=null;if(null==t){if("function"!==typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!==typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!==typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");a=e}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))}},{key:"scopedRun",value:function(e,t,n){e();try{var r=n();return t(),r}catch(a){throw t(),a}}},{key:"nextTensorId",value:function(){return e.nextTensorId++}},{key:"nextVariableId",value:function(){return e.nextVariableId++}},{key:"clone",value:function(e){var t=Pv.runKernel(Ap,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){var t={x:e},n={dtype:"float32"};return Pv.runKernel(Wh,t,n)}}}),[],{}),t}},{key:"runKernel",value:function(e,t,n){if(null==this.backendName&&this.backend,!(null!=Rf(e,this.backendName)))throw new Error("Kernel '".concat(e,"' not registered for backend '").concat(this.backendName,"'"));return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}},{key:"shouldCheckForMemLeaks",value:function(){return this.ENV.getBool("IS_TEST")}},{key:"checkKernelForMemLeak",value:function(e,t,n){var r=this.backend.numDataIds(),a=0;n.forEach((function(e){a+="complex64"===e.dtype?3:1}));var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-a-i;if(o>0)throw new Error("Backend '".concat(this.backendName,"' has an internal memory leak ")+"(".concat(o," data ids) after running '").concat(e,"'"))}},{key:"runKernelFunc",value:function(e){var t,n,r,a=this,i=[],o=this.isTapeOn(),s=this.state.numBytes,u=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;var c=Dv(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(Dv(e)){var l=e.kernelName,h=e.inputs,p=e.attrs;null==this.backendName&&this.backend;var d=Rf(l,this.backendName);Fl(null!=d,(function(){return"Cannot find registered kernel '".concat(l,"' for backend '").concat(a.backendName,"'")})),n=function(){var e=a.backend.numDataIds();r=d.kernelFunc({inputs:h,attrs:p,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(o){var s=a.getTensorsForGradient(l,h,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var f=e.forwardFunc,v=function(e){o&&(i=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return f(a.backend,v)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t),t}}var m,g=e.inputs,y=e.attrs,b=Dv(e)?null:e.backwardsFunc;return this.scopedRun((function(){return a.state.kernelDepth++}),(function(){return a.state.kernelDepth--}),(function(){a.ENV.getBool("DEBUG")||a.state.profiling?(m=a.profiler.profileKernel(c,g,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(m),t=m.outputs):t=n()})),o&&this.addTapeNode(c,g,t,b,i,y),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(g).map((function(e){return null!=g[e]?g[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:m.timeMs,extraInfo:m.extraInfo}),Array.isArray(r)?t:t[0]}},{key:"saveTensorsForBackwardMode",value:function(e){var t=this;return e.map((function(e){return t.keep(t.clone(e))}))}},{key:"getTensorsForGradient",value:function(e,t,n){var r=Af(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(Fl(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),a=Object.keys(t).map((function(e){return t[e]}))):a=i.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return a.concat(s)}return[]}},{key:"makeTensor",value:function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=e;"string"===n&&Xl(e[0])&&(a=e.map((function(e){return $f(e)})));var i=r.write(a,t,n),o=new mv(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=function(e){if(null==e)return 0;var t=0;return e.forEach((function(e){return t+=e.length})),t}(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o}},{key:"makeTensorFromDataId",value:function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)}},{key:"makeTensorFromTensorInfo",value:function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,i=new mv(r,a,n,this.nextTensorId());return this.trackTensor(i,t),i}},{key:"makeVariable",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new Sv(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name ".concat(a.name," was already registered"));return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a}},{key:"trackTensor",value:function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*ql(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof Sv||this.track(e)}},{key:"incRef",value:function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}},{key:"removeDataId",value:function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}},{key:"disposeTensor",value:function(e){if(this.state.tensorInfo.has(e.dataId)){var t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){var n=e.size*ql(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}}},{key:"disposeVariables",value:function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}}},{key:"disposeVariable",value:function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]}},{key:"memory",value:function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}},{key:"profile",value:function(){var e=D(A().mark((function e(t){var n,r,a,i,o;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],e.next=6,t();case 6:this.state.activeProfile.result=e.sent,this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,_(this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot})))),this.state.activeProfile.newBytes=this.state.numBytes-n,this.state.activeProfile.newTensors=this.state.numTensors-r,a=O(this.state.activeProfile.kernels),e.prev=12,a.s();case 14:if((i=a.n()).done){e.next=24;break}return o=i.value,e.next=18,o.kernelTimeMs;case 18:return o.kernelTimeMs=e.sent,e.next=21,o.extraInfo;case 21:o.extraInfo=e.sent;case 22:e.next=14;break;case 24:e.next=29;break;case 26:e.prev=26,e.t0=e.catch(12),a.e(e.t0);case 29:return e.prev=29,a.f(),e.finish(29);case 32:return e.abrupt("return",this.state.activeProfile);case 33:case"end":return e.stop()}}),e,this,[[12,26,29,32]])})));return function(t){return e.apply(this,arguments)}}()},{key:"isTapeOn",value:function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth}},{key:"addTapeNode",value:function(e,t,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=Af(e);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=rh(r.size,r.dtype);return o.makeTensor(a,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],a,i)}),this.state.activeTape.push(s)}},{key:"keep",value:function(e){return e.kept=!0,e}},{key:"startTape",value:function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++}},{key:"endTape",value:function(){this.state.gradientDepth--}},{key:"startScope",value:function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}},{key:"endScope",value:function(e){for(var t=this,n=Av(e),r=new Set(n.map((function(e){return e.id}))),a=0;a<this.state.activeScope.track.length;a++){var i=this.state.activeScope.track[a];i.kept||r.has(i.id)||i.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==o.id||t.track(e)}))}},{key:"gradients",value:function(e,t,n){var r=this,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];if(Fl(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '".concat(n.dtype,"'"));var i=this.scopedRun((function(){return r.startTape()}),(function(){return r.endTape()}),(function(){return r.tidy("forward",e)}));Fl(i instanceof mv,(function(){return"The result y returned by f() must be a tensor."}));var o=function(e,t,n){for(var r={},a={},i=0;i<t.length;i++)r[t[i].id]=!0;for(var o=0;o<e.length;o++){var s=e[o],u=s.inputs;for(var c in u){for(var l=u[c],h=!1,p=0;p<t.length;p++)if(r[l.id]){s.outputs.forEach((function(e){return r[e.id]=!0})),h=!0,a[s.id]=!0;break}if(h)break}}var d={};d[n.id]=!0;for(var f={},v=e.length-1;v>=0;v--)for(var m=e[v],g=m.inputs,y=0;y<m.outputs.length;y++)if(d[m.outputs[y].id]){for(var b in g)d[g[b].id]=!0,f[m.id]=!0;break}for(var k=[],x=0;x<e.length;x++){var w=e[x];if(a[w.id]&&f[w.id]){var S={};for(var N in w.inputs){var I=w.inputs[N];r[I.id]&&(S[N]=I)}var T=Object.assign({},w);T.inputs=S,T.outputs=w.outputs,k.push(T)}}return k}(this.state.activeTape,t,i);if(!a&&0===o.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. 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e(t){var n,r;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=(a=t).startsWith(Um.URL_SCHEME)?a.slice(Um.URL_SCHEME.length):a,n=Pm(t),null!=this.LS.getItem(n.info)){e.next=4;break}throw new Error("Cannot find model at path '".concat(t,"'"));case 4:return r=JSON.parse(this.LS.getItem(n.info)),Bm(n),e.abrupt("return",r);case 7:case"end":return e.stop()}var a}),e,this)})));return function(t){return e.apply(this,arguments)}}()}]),e}(),Hm="://",jm=function(){function e(){M(this,e),this.managers={}}return P(e,null,[{key:"getInstance",value:function(){return null==e.instance&&(e.instance=new e),e.instance}},{key:"registerManager",value:function(t,n){Fl(null!=t,(function(){return"scheme must not be undefined or null."})),t.endsWith(Hm)&&(t=t.slice(0,t.indexOf(Hm))),Fl(t.length>0,(function(){return"scheme must not be an empty string."}));var r=e.getInstance();Fl(null==r.managers[t],(function(){return"A model store manager is already registered for scheme 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n=Kv(e,"x","cast");if(!function(e){return"bool"===e||"complex64"===e||"float32"===e||"int32"===e||"string"===e}(t))throw new Error("Failed to cast to unknown dtype ".concat(t));if("string"===t&&"string"!==n.dtype||"string"!==t&&"string"===n.dtype)throw new Error("Only strings can be casted to strings");var r={x:n},a={dtype:t};return Pv.runKernel(Wh,r,a)}});var cg=Xv({clone_:function(e){var t={x:Kv(e,"x","clone","string_or_numeric")};return Pv.runKernel(Ap,t)}});Lv();var lg={buffer:sg,cast:ug,clone:cg,print:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];console.log(e.toString(t))}};function hg(){return Pv}function pg(){return Pv.memory()}function dg(e,t){return Pv.tidy(e,t)}function fg(e){Av(e).forEach((function(e){return e.dispose()}))}function vg(e){return Pv.keep(e)}function mg(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1;return 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t=Kv(e,"x","square");return Pv.runKernel("Square",{x:t},{})}});var Sg=Xv({zerosLike_:function(e){var t={x:Kv(e,"x","zerosLike")};return Pv.runKernel(xf,t)}});function Ng(e){return Pv.customGrad(e)}function Ig(e,t){if((tv(e)&&"string"!==t||Array.isArray(e))&&"complex64"!==t)throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)");if("string"===t&&tv(e)&&!(e instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");return Qv(e,[],[],t)}var Tg=new Map,Eg=new Map,Cg=function(){function e(){M(this,e)}return P(e,[{key:"getClassName",value:function(){return this.constructor.className}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),e}(),_g=function(){function e(){M(this,e),this.classNameMap={}}return P(e,null,[{key:"getMap",value:function(){return null==e.instance&&(e.instance=new 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o=n.map((function(e){return{name:e.name,tensor:i[e.name]}}));this.applyGradients(o)}else this.applyGradients(i);return fg(i),t?a:(a.dispose(),null)}},{key:"iterations",get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}},{key:"incrementIterations",value:function(){this.iterations_=this.iterations+1}},{key:"computeGradients",value:function(e,t){return function(e,t){Fl(Jl(e),(function(){return"The f passed in variableGrads(f) must be a function"})),Fl(null==t||Array.isArray(t)&&t.every((function(e){return e instanceof Sv})),(function(){return"The varList passed in variableGrads(f, varList) must be an array of variables"}));var n=null!=t;if(!n)for(var r in t=[],Pv.registeredVariables)t.push(Pv.registeredVariables[r]);var a=n?t.filter((function(e){return!e.trainable})):null,i=t.length;t=t.filter((function(e){return e.trainable})),Fl(t.length>0,(function(){return"variableGrads() expects at least one of the input variables to "+"be trainable, but none of the ".concat(i," variables is ")+"trainable."}));var o=Pv.gradients(e,t,null,!0),s=o.value,u=o.grads;Fl(u.some((function(e){return null!=e})),(function(){return"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."})),Fl(0===s.rank,(function(){return"The f passed in variableGrads(f) must return a scalar, but it "+"returned a rank-".concat(s.rank," tensor")}));var c={};return t.forEach((function(e,t){null!=u[t]&&(c[e.name]=u[t])})),null!=a&&a.forEach((function(e){return c[e.name]=null})),{value:s,grads:c}}(e,t)}},{key:"dispose",value:function(){null!=this.iterations_&&fg(this.iterations_)}},{key:"saveIterations",value:function(){var e=D(A().mark((function e(){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return null==this.iterations_&&(this.iterations_=0),e.abrupt("return",{name:"iter",tensor:Ig(this.iterations_,"int32")});case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"getWeights",value:function(){var e=D(A().mark((function e(){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() 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Fg=function(e){je(n,e);var t=Ye(n);function n(e,r){var a,i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null;return M(this,n),(a=t.call(this)).learningRate=e,a.rho=r,a.epsilon=i,a.accumulatedGrads=[],a.accumulatedUpdates=[],null==i&&(a.epsilon=Pv.backend.epsilon()),a}return P(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Pv.registeredVariables[n];null==t.accumulatedGrads[r]&&(t.accumulatedGrads[r]={originalName:"".concat(n,"/accum_grad"),variable:dg((function(){return Sg(a).variable(false)}))}),null==t.accumulatedUpdates[r]&&(t.accumulatedUpdates[r]={originalName:"".concat(n,"/accum_var"),variable:dg((function(){return Sg(a).variable(false)}))});var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable,s=t.accumulatedUpdates[r].variable;dg((function(){var e=gg(kg(o,t.rho),kg(wg(i),1-t.rho)),n=kg(bg(xg(gg(s,t.epsilon)),xg(gg(o,t.epsilon))),i),r=gg(kg(s,t.rho),kg(wg(n),1-t.rho));o.assign(e),s.assign(r);var u=gg(kg(n,-t.learningRate),a);a.assign(u)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedUpdates&&(fg(this.accumulatedGrads.map((function(e){return e.variable}))),fg(this.accumulatedUpdates.map((function(e){return e.variable}))))}},{key:"getWeights",value:function(){var e=D(A().mark((function e(){var t;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(_(this.accumulatedGrads),_(this.accumulatedUpdates)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=D(A().mark((function e(t){var n;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,n=t.length/2,!1,this.accumulatedGrads=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}})),this.accumulatedUpdates=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 7:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}}],[{key:"className",get:function(){return"Adadelta"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.rho,t.epsilon)}}]),n}(Ag);function Dg(e,t,n){ih(e);var r={shape:e,value:t,dtype:n=n||Ql(t)};return Pv.runKernel(wp,{},r)}var Og=function(e){je(n,e);var t=Ye(n);function n(e){var r,a=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.1;return M(this,n),(r=t.call(this)).learningRate=e,r.initialAccumulatorValue=a,r.accumulatedGrads=[],r}return P(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Pv.registeredVariables[n];if(null==t.accumulatedGrads[r]){t.accumulatedGrads[r]={originalName:"".concat(n,"/accumulator"),variable:dg((function(){return Dg(a.shape,t.initialAccumulatorValue).variable(false)}))}}var i=Array.isArray(e)?e[r].tensor:e[n];if(null!=i){var o=t.accumulatedGrads[r].variable;dg((function(){var e=gg(o,wg(i));o.assign(e);var n=gg(kg(bg(i,xg(gg(e,Pv.backend.epsilon()))),-t.learningRate),a);a.assign(n)}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedGrads&&fg(this.accumulatedGrads.map((function(e){return e.variable})))}},{key:"getWeights",value:function(){var e=D(A().mark((function e(){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulatedGrads.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=D(A().mark((function e(t){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,!1,this.accumulatedGrads=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}}],[{key:"className",get:function(){return"Adagrad"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}}]),n}(Ag);var Mg=Xv({pow_:function(e,t){var n=Kv(e,"base","pow"),r=Kv(t,"exp","pow"),a=C(_v(n,r),2),i={a:n=a[0],b:r=a[1]};return Pv.runKernel(gd,i)}});var Lg=Xv({sub_:function(e,t){var n=Kv(e,"a","sub"),r=Kv(t,"b","sub"),a=C(_v(n,r),2),i={a:n=a[0],b:r=a[1]};return Pv.runKernel(hf,i)}}),zg=function(e){je(n,e);var t=Ye(n);function n(e,r,a){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null;return M(this,n),(i=t.call(this)).learningRate=e,i.beta1=r,i.beta2=a,i.epsilon=o,i.accumulatedFirstMoment=[],i.accumulatedSecondMoment=[],dg((function(){i.accBeta1=Ig(r).variable(),i.accBeta2=Ig(a).variable()})),null==o&&(i.epsilon=Pv.backend.epsilon()),i}return P(n,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);dg((function(){var r=Lg(1,t.accBeta1),a=Lg(1,t.accBeta2);n.forEach((function(n,i){var o=Pv.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:dg((function(){return Sg(o).variable(false)}))}),null==t.accumulatedSecondMoment[i]&&(t.accumulatedSecondMoment[i]={originalName:"".concat(n,"/v"),variable:dg((function(){return Sg(o).variable(false)}))});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedSecondMoment[i].variable,l=gg(kg(u,t.beta1),kg(s,1-t.beta1)),h=gg(kg(c,t.beta2),kg(wg(s),1-t.beta2)),p=bg(l,r),d=bg(h,a);u.assign(l),c.assign(h);var f=gg(kg(bg(p,gg(xg(d),t.epsilon)),-t.learningRate),o);o.assign(f)}})),t.accBeta1.assign(kg(t.accBeta1,t.beta1)),t.accBeta2.assign(kg(t.accBeta2,t.beta2))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&fg(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&fg(this.accumulatedSecondMoment.map((function(e){return e.variable})))}},{key:"getWeights",value:function(){var e=D(A().mark((function e(){var t;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(_(this.accumulatedFirstMoment),_(this.accumulatedSecondMoment)),e.next=3,this.saveIterations();case 3:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=D(A().mark((function e(t){var n,r=this;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,dg((function(){r.accBeta1.assign(Mg(r.beta1,r.iterations_+1)),r.accBeta2.assign(Mg(r.beta2,r.iterations_+1))})),n=t.length/2,!1,this.accumulatedFirstMoment=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}})),this.accumulatedSecondMoment=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}}],[{key:"className",get:function(){return"Adam"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}]),n}(Ag);var Pg=Xv({abs_:function(e){var t=Kv(e,"x","abs");if("complex64"===t.dtype){var n={x:t};return Pv.runKernel(Hh,n)}var r={x:t};return Pv.runKernel(gh,r)}});function Bg(e,t){for(var n=e.length,r=[],a=0;a<n;a++){var i=n-1-a,o=e[i]||1;(t[t.length-1-a]||1)>1&&1===o&&r.unshift(i)}return r}function Wg(e,t){for(var n=[],r=0;r<t.length;r++){var a=e[e.length-r-1],i=t.length-r-1,o=t[i];(null==a||1===a&&o>1)&&n.unshift(i)}return n}function Ug(e,t){for(var n=Math.max(e.length,t.length),r=new Array(n),a=0;a<n;a++){var i=e[e.length-a-1];null==i&&(i=1);var o=t[t.length-a-1];if(null==o&&(o=1),1===i)r[n-a-1]=o;else if(1===o)r[n-a-1]=i;else{if(i!==o){var s="Operands could not be broadcast together with shapes "+"".concat(e," and ").concat(t,".");throw Error(s)}r[n-a-1]=i}}return r}var Vg=Xv({maximum_:function(e,t){var n=Kv(e,"a","maximum"),r=Kv(t,"b","maximum"),a=C(_v(n,r),2);n=a[0],r=a[1],"bool"===n.dtype&&(n=ug(n,"int32"),r=ug(r,"int32")),Ug(n.shape,r.shape);var i={a:n,b:r};return Pv.runKernel(Yp,i)}}),Gg=function(e){je(n,e);var t=Ye(n);function n(e,r,a){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,s=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;return M(this,n),(i=t.call(this)).learningRate=e,i.beta1=r,i.beta2=a,i.epsilon=o,i.decay=s,i.accumulatedFirstMoment=[],i.accumulatedWeightedInfNorm=[],dg((function(){i.iteration=Ig(0).variable(),i.accBeta1=Ig(r).variable()})),null==o&&(i.epsilon=Pv.backend.epsilon()),i}return P(n,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);dg((function(){var r=Lg(1,t.accBeta1),a=bg(-t.learningRate,gg(kg(t.iteration,t.decay),1));n.forEach((function(n,i){var o=Pv.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:"".concat(n,"/m"),variable:Sg(o).variable(false)}),null==t.accumulatedWeightedInfNorm[i]&&(t.accumulatedWeightedInfNorm[i]={originalName:"".concat(n,"/v"),variable:Sg(o).variable(false)});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,c=t.accumulatedWeightedInfNorm[i].variable,l=gg(kg(u,t.beta1),kg(s,1-t.beta1)),h=kg(c,t.beta2),p=Pg(s),d=Vg(h,p);u.assign(l),c.assign(d);var f=gg(kg(bg(a,r),bg(l,gg(d,t.epsilon))),o);o.assign(f)}})),t.iteration.assign(gg(t.iteration,1)),t.accBeta1.assign(kg(t.accBeta1,t.beta1))})),this.incrementIterations()}},{key:"dispose",value:function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&fg(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&fg(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))}},{key:"getWeights",value:function(){var e=D(A().mark((function e(){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=D(A().mark((function e(t){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for Adamax yet.");case 1:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}}],[{key:"className",get:function(){return"Adamax"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}}]),n}(Ag),Hg=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this)).learningRate=e,r.setLearningRate(e),r}return P(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Array.isArray(e)?e[r].tensor:e[n];if(null!=a){var i=Pv.registeredVariables[n];dg((function(){var e=gg(kg(t.c,a),i);i.assign(e)}))}})),this.incrementIterations()}},{key:"setLearningRate",value:function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=vg(Ig(-e))}},{key:"dispose",value:function(){this.c.dispose()}},{key:"getWeights",value:function(){var e=D(A().mark((function e(){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0]);case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=D(A().mark((function e(t){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:if(0===(t=e.sent).length){e.next=5;break}throw new Error("SGD optimizer does not have settable weights.");case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate}}}],[{key:"className",get:function(){return"SGD"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate)}}]),n}(Ag),jg=function(e){je(n,e);var t=Ye(n);function n(e,r){var a,i=arguments.length>2&&void 0!==arguments[2]&&arguments[2];return M(this,n),(a=t.call(this,e)).learningRate=e,a.momentum=r,a.useNesterov=i,a.accumulations=[],a.m=Ig(a.momentum),a}return P(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Pv.registeredVariables[n];if(null==t.accumulations[r]){t.accumulations[r]={originalName:"".concat(n,"/momentum"),variable:dg((function(){return Sg(a).variable(false)}))}}var i=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&dg((function(){var e,n=gg(kg(t.m,i),o);e=t.useNesterov?gg(kg(t.c,gg(o,kg(n,t.m))),a):gg(kg(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()}},{key:"dispose",value:function(){this.m.dispose(),null!=this.accumulations&&fg(this.accumulations.map((function(e){return e.variable})))}},{key:"setMomentum",value:function(e){this.momentum=e}},{key:"getWeights",value:function(){var e=D(A().mark((function e(){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulations.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=D(A().mark((function e(t){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,!1,this.accumulations=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}}],[{key:"className",get:function(){return"Momentum"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}]),n}(Hg),Kg=function(e){je(n,e);var t=Ye(n);function n(e){var r,a=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.9,i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,s=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(M(this,n),(r=t.call(this)).learningRate=e,r.decay=a,r.momentum=i,r.epsilon=o,r.accumulatedMeanSquares=[],r.accumulatedMoments=[],r.accumulatedMeanGrads=[],r.centered=s,null==o&&(r.epsilon=Pv.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.");return r}return P(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Pv.registeredVariables[n],i=!1;null==t.accumulatedMeanSquares[r]&&(t.accumulatedMeanSquares[r]={originalName:"".concat(n,"/rms"),variable:dg((function(){return Sg(a).variable(i)}))}),null==t.accumulatedMoments[r]&&(t.accumulatedMoments[r]={originalName:"".concat(n,"/momentum"),variable:dg((function(){return Sg(a).variable(i)}))}),null==t.accumulatedMeanGrads[r]&&t.centered&&(t.accumulatedMeanGrads[r]={originalName:"".concat(n,"/mg"),variable:dg((function(){return Sg(a).variable(i)}))});var o=Array.isArray(e)?e[r].tensor:e[n];if(null!=o){var s=t.accumulatedMeanSquares[r].variable,u=t.accumulatedMoments[r].variable;dg((function(){var e=gg(kg(s,t.decay),kg(wg(o),1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,i=gg(kg(n,t.decay),kg(o,1-t.decay)),c=bg(kg(o,t.learningRate),xg(Lg(e,gg(wg(i),t.epsilon)))),l=gg(kg(u,t.momentum),c);s.assign(e),n.assign(i),u.assign(l);var h=Lg(a,l);a.assign(h)}else{var p=gg(kg(s,t.decay),kg(wg(o),1-t.decay)),d=gg(kg(u,t.momentum),bg(kg(o,t.learningRate),xg(gg(p,t.epsilon))));s.assign(p),u.assign(d);var f=Lg(a,d);a.assign(f)}}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedMeanSquares&&fg(this.accumulatedMeanSquares.map((function(e){return e.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&fg(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&fg(this.accumulatedMoments.map((function(e){return e.variable})))}},{key:"getWeights",value:function(){var e=D(A().mark((function e(){var t;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(_(this.accumulatedMeanSquares),_(this.accumulatedMoments)),this.centered&&t.push.apply(t,_(this.accumulatedMeanGrads)),e.next=4,this.saveIterations();case 4:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 6:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=D(A().mark((function e(t){var n,r;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,n=this.centered?t.length/3:t.length/2,r=!1,this.accumulatedMeanSquares=t.slice(0,n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(r)}})),this.accumulatedMoments=t.slice(n,2*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(r)}})),this.centered&&(this.accumulatedMeanGrads=t.slice(2*n,3*n).map((function(e){return{originalName:e.name,variable:e.tensor.variable(r)}})));case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}}],[{key:"className",get:function(){return"RMSProp"}},{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}}]),n}(Ag),qg=[Fg,Og,zg,Gg,jg,Kg,Hg];function Xg(e){return new Promise((function(e){return setTimeout(e)})).then(e)}var Yg=function(){function e(t){if(M(this,e),!ph().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t="model"),this.modelJsonFileName=t+".json",this.weightDataFileName=t+".weights.bin"}return P(e,[{key:"save",value:function(){var e=D(A().mark((function e(t){var n,r,a,i,o,s,u;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("undefined"!==typeof document){e.next=2;break}throw new Error("Browser downloads are not supported in this environment since `document` is not present");case 2:if(n=$v.join(t.weightData),r=window.URL.createObjectURL(new Blob([n],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer)){e.next=8;break}throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 8:return a=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],i=hm(t,a),o=window.URL.createObjectURL(new Blob([JSON.stringify(i)],{type:"application/json"})),(s=null==this.modelJsonAnchor?document.createElement("a"):this.modelJsonAnchor).download=this.modelJsonFileName,s.href=o,e.next=16,Xg((function(){return s.dispatchEvent(new MouseEvent("click"))}));case 16:if(null==t.weightData){e.next=22;break}return(u=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,u.href=r,e.next=22,Xg((function(){return u.dispatchEvent(new MouseEvent("click"))}));case 22:return e.abrupt("return",{modelArtifactsInfo:vm(t)});case 23:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()}]),e}();Yg.URL_SCHEME="downloads://";var Qg=function(){function e(t){if(M(this,e),null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, "+"but received 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Error("Cannot compute gradient for fused activation ".concat(n,"."))}function zk(e,t){var n=t,r=Wg(e.shape,t.shape);return r.length>0&&(n=Eb(n,r)),Hy(n,e.shape)}function Pk(e,t,n,r){if("linear"===t)return e;if("relu"===t)return rk(e);if("elu"===t)return db(e);if("relu6"===t)return Ok(e);if("prelu"===t)return Jb(e,n);if("leakyrelu"===t)return Sb(e,r);if("sigmoid"===t)return sk(e);throw new Error("Unknown fused activation ".concat(t,"."))}var Bk=function(e,t){return!(e>0)||"linear"===t};var Wk=Xv({fusedConv2d_:function(e){var t=e.x,n=e.filter,r=e.strides,a=e.pad,i=e.dataFormat,o=void 0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,c=e.dimRoundingMode,l=e.bias,h=e.activation,p=void 0===h?"linear":h,d=e.preluActivationWeights,f=e.leakyreluAlpha;if(p=p||"linear",!1===Bk(Pv.state.gradientDepth,p)){Fl("NHWC"===o,(function(){return"Error in fused conv2d: got dataFormat of ".concat(o," but ")+"only NHWC is currently supported for the case of gradient depth is 0 and the activation is not 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0!==arguments[4]?arguments[4]:"bilinear",i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:0,o=Kv(e,"image","cropAndResize"),s=Kv(t,"boxes","cropAndResize","float32"),u=Kv(n,"boxInd","cropAndResize","int32"),c=s.shape[0];Fl(4===o.rank,(function(){return"Error in cropAndResize: image must be rank 4,"+"but got rank ".concat(o.rank,".")})),Fl(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size [".concat(c,",4] ")+"but had shape ".concat(s.shape,".")})),Fl(1===u.rank&&u.shape[0]===c,(function(){return"Error in cropAndResize: boxInd must be have size [".concat(c,"] ")+"but had shape ".concat(s.shape,".")})),Fl(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got "+"length ".concat(r.length,".")})),Fl(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was ".concat(r)})),Fl("bilinear"===a||"nearest"===a,(function(){return"method must be bilinear or nearest, but was ".concat(a)}));var l={image:o,boxes:s,boxInd:u},h={method:a,extrapolationValue:i,cropSize:r};return Pv.runKernel(np,l,h)}});var Kk=Xv({flipLeftRight_:function(e){var t=Kv(e,"image","flipLeftRight","float32");Fl(4===t.rank,(function(){return"Error in flipLeftRight: image must be rank 4,"+"but got rank ".concat(t.rank,".")}));var n={image:t};return Pv.runKernel(Sp,n,{})}});var qk=Xv({grayscaleToRGB_:function(e){var t=Kv(e,"image","grayscaleToRGB"),n=t.rank-1,r=t.shape[n];Fl(t.rank>=2,(function(){return"Error in grayscaleToRGB: images must be at least rank 2, "+"but got rank ".concat(t.rank,".")})),Fl(1===r,(function(){return"Error in grayscaleToRGB: last dimension of a grayscale image "+"should be size 1, but got size ".concat(r,".")}));var a=new Array(t.rank);return a.fill(1,0,n),a[n]=3,gb(t,a)}});var Xk=Xv({einsum_:function(e){for(var t=arguments.length,n=new Array(t>1?t-1:0),r=1;r<t;r++)n[r-1]=arguments[r];var a=n.map((function(e,t){return Kv(e,"tensors".concat(t),"einsum")})),i={equation:e};return 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t;if(Array.isArray(e)){t=!1,Fl(null!=e&&e.length>0,(function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"}));for(var n=e[0].shape[0],r=function(t){Fl(e[t].shape[0]===n,(function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: "+"(".concat(e[t].shape[0]," vs. ").concat(n,")")}))},a=1;a<e.length;++a)r(a)}else t=!0,e=vk(e,e.shape[0],0).map((function(e){return mk(e,[0])}));Fl(e.length<=e[0].shape[0],(function(){return"Gram-Schmidt: Number of vectors (".concat(e.length,") exceeds ")+"number of dimensions (".concat(e[0].shape[0],").")}));for(var i=[],o=e,s=function(e){i.push(Pv.tidy((function(){var t=o[e];if(e>0)for(var n=0;n<e;++n){var r=kg(Eb(kg(i[n],t)),i[n]);t=Lg(t,r)}return bg(t,Ek(t,"euclidean"))})))},u=0;u<e.length;++u)s(u);return t?gk(i,0):i}});function Tx(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];return Pv.tidy((function(){Fl(2===e.shape.length,(function(){return"qr2d() requires a 2D Tensor, but got a 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ek(e,arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,arguments.length>3?arguments[3]:void 0,arguments.length>4?arguments[4]:void 0)}function mT(e,t,n,r){if(e.rank<2||t.rank<2)throw new dI("dot requires both inputs to be rank >= 2"+" but got x shape = ".concat(e.shape," and y shape = ").concat(t.shape));if(t.rank>=3&&e.shape.slice(-1)[0]!==t.shape.slice(-2)[0])throw new dI("If rank y >= 3, then the second last dim"+" of y must equal the last dim of x but got x shape = ".concat(e.shape," and ")+" y shape = ".concat(t.shape));if(2===e.rank&&2===t.rank){return Gk({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?bT(e.rank,r,"channelsLast"):null,activation:n})}var a=e.shape.slice(),i=a.pop();e=Hy(e,[-1,i]);var o=t.shape.slice(),s=o.pop(),u=o.pop(),c=[].concat(_(o),[s]),l=Array.from({length:t.rank},(function(e,n){return 0===n?t.rank-2:n<=t.rank-2?n-1:n}));t=Hy(Ik(t,l),[u,-1]);var h=[].concat(_(a),_(c));return Hy(Gk({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?bT(e.rank,r,"channelsLast"):null,activation:n}),h)}function gT(e,t,n){return dg((function(){return t=Array.isArray(t)?bk(t,"int32"):ug(t,"int32"),kb(e,t,n)}))}function yT(e){return kg(e,e)}function bT(e,t,n){var r=t.shape;if(1!==t.rank&&t.rank!==e)throw new pI("Unexpected bias dimensions: ".concat(t.rank)+"; expected it to be 1 or ".concat(e));if(5===e){if("channelsFirst"===n)return 1===r.length?Hy(t,[1,r[0],1,1,1]):Hy(t,[1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?Hy(t,[1,1,1,1,r[0]]):Hy(t,[1].concat(r))}else if(4===e){if("channelsFirst"===n)return 1===r.length?Hy(t,[1,r[0],1,1]):Hy(t,[1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?Hy(t,[1,1,1,r[0]]):Hy(t,[1].concat(r))}else if(3===e){if("channelsFirst"===n)return 1===r.length?Hy(t,[1,r[0],1]):Hy(t,[1,r[1],r[0]]);if("channelsLast"===n)return 1===r.length?Hy(t,[1,1,r[0]]):Hy(t,[1].concat(r))}else if(e<3)return t;throw new pI("Unsupported input rank by biasAdd: ".concat(t.rank))}function kT(e,t,n){return dg((function(){return null==n&&(n="channelsLast"),jI(n),gg(e,bT(e.rank,t,n))}))}function xT(e,t,n,r){return dg((function(){return Ck(e,t,n,r)}))}function wT(e,t){return arguments.length>2&&void 0!==arguments[2]&&arguments[2]?e():t()}var ST=["fanIn","fanOut","fanAvg"],NT=["normal","uniform","truncatedNormal"];var IT=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"fromConfigUsesCustomObjects",value:function(){return!1}},{key:"getConfig",value:function(){return{}}}]),n}(Cg),TT=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"apply",value:function(e,t){return qb(e,t)}}]),n}(IT);TT.className="Zeros",Rg(TT);var ET=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"apply",value:function(e,t){return Xb(e,t)}}]),n}(IT);ET.className="Ones",Rg(ET);var CT=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),r=t.call(this),"object"!==typeof e)throw new pI("Expected argument of type ConstantConfig but got ".concat(e));if(void 0===e.value)throw new pI("config must have value set but got ".concat(e));return r.value=e.value,r}return P(n,[{key:"apply",value:function(e,t){var n=this;return dg((function(){return kg(Ig(n.value),Xb(e,t))}))}},{key:"getConfig",value:function(){return{value:this.value}}}]),n}(IT);CT.className="Constant",Rg(CT);var _T=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this)).DEFAULT_MINVAL=-.05,r.DEFAULT_MAXVAL=.05,r.minval=e.minval||r.DEFAULT_MINVAL,r.maxval=e.maxval||r.DEFAULT_MAXVAL,r.seed=e.seed,r}return P(n,[{key:"apply",value:function(e,t){return tk(e,this.minval,this.maxval,t,this.seed)}},{key:"getConfig",value:function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}}]),n}(IT);_T.className="RandomUniform",Rg(_T);var RT=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this)).DEFAULT_MEAN=0,r.DEFAULT_STDDEV=.05,r.mean=e.mean||r.DEFAULT_MEAN,r.stddev=e.stddev||r.DEFAULT_STDDEV,r.seed=e.seed,r}return P(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new dI("randomNormal does not support dType ".concat(t,"."));return vT(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(IT);RT.className="RandomNormal",Rg(RT);var AT=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this)).DEFAULT_MEAN=0,r.DEFAULT_STDDEV=.05,r.mean=e.mean||r.DEFAULT_MEAN,r.stddev=e.stddev||r.DEFAULT_STDDEV,r.seed=e.seed,r}return P(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new dI("truncatedNormal does not support dType ".concat(t,"."));return kk(e,this.mean,this.stddev,t,this.seed)}},{key:"getConfig",value:function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}}}]),n}(IT);AT.className="TruncatedNormal",Rg(AT);var FT=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this)).gain=null!=e.gain?e.gain:1,r}return P(n,[{key:"apply",value:function(e,t){var n=this;return dg((function(){if(2!==e.length||e[0]!==e[1])throw new pI("Identity matrix initializer can only be used for 2D square matrices.");return kg(n.gain,yb(e[0]))}))}},{key:"getConfig",value:function(){return{gain:this.gain}}}]),n}(IT);FT.className="Identity",Rg(FT);var DT=function(e){je(n,e);var t=Ye(n);function n(e){var r,a;if(M(this,n),r=t.call(this),e.scale<0)throw new pI("scale must be a positive float. 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kk(e,0,o,t,this.seed)}var s=Math.sqrt(3*i);return tk(e,-s,s,t,this.seed)}},{key:"getConfig",value:function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}}]),n}(IT);DT.className="VarianceScaling",Rg(DT);var OT=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})}return P(n,[{key:"getClassName",value:function(){return DT.className}}]),n}(DT);OT.className="GlorotUniform",Rg(OT);var MT=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})}return P(n,[{key:"getClassName",value:function(){return DT.className}}]),n}(DT);MT.className="GlorotNormal",Rg(MT);var LT=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return P(n,[{key:"getClassName",value:function(){return DT.className}}]),n}(DT);LT.className="HeNormal",Rg(LT);var zT=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return P(n,[{key:"getClassName",value:function(){return DT.className}}]),n}(DT);zT.className="HeUniform",Rg(zT);var PT=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return P(n,[{key:"getClassName",value:function(){return DT.className}}]),n}(DT);PT.className="LeCunNormal",Rg(PT);var BT=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return P(n,[{key:"getClassName",value:function(){return DT.className}}]),n}(DT);BT.className="LeCunUniform",Rg(BT);var WT=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this)).DEFAULT_GAIN=1,r.ELEMENTS_WARN_SLOW=2e3,r.gain=null==e.gain?r.DEFAULT_GAIN:e.gain,r.seed=e.seed,r}return P(n,[{key:"apply",value:function(e,t){var n=this;return dg((function(){if(e.length<2)throw new dI("Shape must be at least 2D.");if("int32"!==t&&"float32"!==t&&void 0!==t)throw new TypeError("Unsupported data type ".concat(t,"."));var r=Ml(e.slice(0,-1)),a=e[e.length-1],i=r*a;i>n.ELEMENTS_WARN_SLOW&&console.warn("Orthogonal initializer is being called on a matrix with more "+"than ".concat(n.ELEMENTS_WARN_SLOW," (").concat(i,") elements: ")+"Slowness may result.");var o=vT([Math.max(a,r),Math.min(a,r)],0,1,t,n.seed),s=Dx.qr(o,!1),u=s[0],c=s[1].flatten().stridedSlice([0],[Math.min(a,r)*Math.min(a,r)],[Math.min(a,r)+1]);return u=kg(u,c.sign()),r<a&&(u=u.transpose()),kg(Ig(n.gain),u.reshape(e))}))}},{key:"getConfig",value:function(){return{gain:this.gain,seed:this.seed}}}]),n}(IT);WT.className="Orthogonal",Rg(WT);var UT={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function VT(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return TI(e,_g.getMap().classNameMap,t,"initializer")}function GT(e){return NI(e)}function HT(e){if("string"===typeof e){var t=e in UT?UT[e]:e;if("GlorotNormal"===t)return new MT;if("GlorotUniform"===t)return new OT;if("HeNormal"===t)return new LT;if("HeUniform"===t)return new zT;if("LeCunNormal"===t)return new PT;if("LeCunUniform"===t)return new BT;var n={};return n.className=t,n.config={},VT(n)}return e instanceof IT?e:VT(e)}function jT(e){return Array.isArray(e)&&Array.isArray(e[0])}function KT(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function qT(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new pI("Expected Tensor length to be 1; got ".concat(e.length));t=e[0]}else t=e;return t}function XT(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return e[0];throw new pI("Expected exactly 1 Shape; got ".concat(e.length))}return e}function YT(e){var t,n=0,r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;0===a.shape.length?n+=1:n+=a.shape.reduce((function(e,t){return e*t}))}}catch(iX){r.e(iX)}finally{r.f()}return n}var QT="Variable",JT=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"float32",r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:QT,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;M(this,e),this.dtype=null==n?"float32":n,this.shape=t.shape,this.id=LI(),r=null==r?QT:r,this.originalName=JI(r),this.name=ZI(this.originalName),this.trainable_=a,this.constraint=i,this.val=function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;return Pv.makeVariable(e,t,n,r)}(t,this.trainable_,this.name,this.dtype)}return P(e,[{key:"read",value:function(){return this.assertNotDisposed(),this.val}},{key:"write",value:function(e){return this.assertNotDisposed(),function(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this}},{key:"dispose",value:function(){this.assertNotDisposed(),this.val.dispose()}},{key:"assertNotDisposed",value:function(){if(this.val.isDisposed)throw new Error("LayersVariable ".concat(this.name," is already disposed."))}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function ZT(e){return e.map((function(e){return e.read()}))}function $T(e){e.forEach((function(e){e[0].write(e[1])}))}var eE=P((function e(t){M(this,e),this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}})),tE=P((function e(t,n,r,a,i,o,s){M(this,e),this.dtype=t,this.shape=n,this.sourceLayer=r,this.inputs=a,this.callArgs=i,this.outputTensorIndex=s,this.id=LI(),null!=o&&(this.originalName=JI(o),this.name=ZI(this.originalName)),this.rank=n.length})),nE=0,rE=function(){function e(t,n){M(this,e),this.callArgs=n,this.id=nE++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;var r,a=O(t.inboundLayers);try{for(a.s();!(r=a.n()).done;){var i=r.value;null!=i&&i.outboundNodes.push(this)}}catch(iX){a.e(iX)}finally{a.f()}t.outboundLayer.inboundNodes.push(this)}return P(e,[{key:"getConfig",value:function(){var e,t=[],n=O(this.inboundLayers);try{for(n.s();!(e=n.n()).done;){var r=e.value;null!=r?t.push(r.name):t.push(null)}}catch(iX){n.e(iX)}finally{n.f()}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}]),e}(),aE=0,iE=function(e){je(n,e);var t=Ye(n);function n(){var e,r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};M(this,n),(e=t.call(this))._callHook=null,e._addedWeightNames=[],e._stateful=!1,e.id=aE++,e.activityRegularizer=null,e.inputSpec=null,e.supportsMasking=!1,e._trainableWeights=[],e._nonTrainableWeights=[],e._losses=[],e._updates=[],e._built=!1,e.inboundNodes=[],e.outboundNodes=[];var a=r.name;if(!a){var i=e.getClassName();a=xI(i)+"_"+PI(i)}if(e.name=a,e.trainable_=null==r.trainable||r.trainable,null!=r.inputShape||null!=r.batchInputShape){var o;if(null!=r.batchInputShape)o=r.batchInputShape;else if(null!=r.inputShape){var s=null;null!=r.batchSize&&(s=r.batchSize),o=[s].concat(r.inputShape)}e.batchInputShape=o;var u=r.dtype;null==u&&(u=r.inputDType),null==u&&(u="float32"),e.dtype=u}return null!=r.weights?e.initialWeights=r.weights:e.initialWeights=null,e._refCount=null,e.fastWeightInitDuringBuild=!1,e}return P(n,[{key:"getNodeAtIndex",value:function(e,t){if(0===this.inboundNodes.length)throw new hI("The layer has never been called "+"and thus has no defined ".concat(t,"."));if(this.inboundNodes.length<=e)throw new pI("Asked to get ".concat(t," at node ").concat(e,", ")+"but the layer has only ".concat(this.inboundNodes.length," inbound nodes."));return this.inboundNodes[e]}},{key:"getInputAt",value:function(e){return bI(this.getNodeAtIndex(e,"input").inputTensors)}},{key:"getOutputAt",value:function(e){return bI(this.getNodeAtIndex(e,"output").outputTensors)}},{key:"input",get:function(){if(this.inboundNodes.length>1)throw new lI("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new lI("Layer ".concat(this.name)+" is not connected, no input to return.");return bI(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new lI("Layer ".concat(this.name)+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new lI("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return bI(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{key:"calculateLosses",value:function(){return this.losses.map((function(e){return e()}))}},{key:"updates",get:function(){return this._updates}},{key:"built",get:function(){return this._built},set:function(e){this._built=e}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this._trainableWeights.forEach((function(t){return t.trainable=e})),this.trainable_=e}},{key:"trainableWeights",get:function(){return this.trainable_?this._trainableWeights.filter((function(e){return e.trainable})):[]},set:function(e){this._trainableWeights=e}},{key:"nonTrainableWeights",get:function(){return this.trainable?this._trainableWeights.filter((function(e){return!e.trainable})).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){return this._stateful}},{key:"resetStates",value:function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}},{key:"assertInputCompatibility",value:function(e){if(e=kI(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=kI(this.inputSpec);if(e.length!==t.length)throw new pI("Layer ".concat(this.name," expects ").concat(t.length," inputs, ")+"but it received ".concat(e.length," input tensors. 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InputLayer name: ".concat(this.name))}},{key:"dispose",value:function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}}},{key:"getConfig",value:function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}}}]),n}(iE);sE.className="InputLayer",Rg(sE);var uE=function(){function e(t){if(M(this,e),this.id2Value={},this.id2Mask={},this.name2Id={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n],n in t.id2Mask&&(this.id2Mask[n]=t.id2Mask[n]);else{if(null==t)return;var r,a=O(t);try{for(a.s();!(r=a.n()).done;){var i=r.value;this.add(i.key,i.value)}}catch(iX){a.e(iX)}finally{a.f()}}}return P(e,[{key:"add",value:function(e,t,n){if(null!=this.id2Value[e.id])throw new pI("Duplicate key: name=".concat(e.name,", id=").concat(e.id));return this.id2Value[e.id]=function(e,t){if(null==e.dtype||e.dtype===t.dtype)return t;try{return ug(t,e.dtype)}catch(iX){throw new pI("The dtype of the feed (".concat(t.dtype,") can not 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pE(e){var t={};for(var n in e)t[n]=e[n].size;return t}function dE(e,t){var n,r=new Set,a=[],i={},o=O(t.names());try{for(o.s();!(n=o.n()).done;){var s=n.value;r.add(s)}}catch(iX){o.e(iX)}finally{o.f()}var u=[],c=[];for(u.push(e);u.length>0;){var l=u[u.length-1];if(r.has(l.name))u.pop();else{var h=c[c.length-1]===u.length-1;if(0===l.inputs.length||h)u.pop(),a.push(l),r.add(l.name),h&&c.pop();else{c.push(u.length-1);var p,d=O(l.inputs);try{for(d.s();!(p=d.n()).done;){var f=p.value;null==i[f.name]&&(i[f.name]=new Set),i[f.name].add(l.name),r.has(f.name)||u.push(f)}}catch(iX){d.e(iX)}finally{d.f()}}}}return{sorted:a,recipientMap:i}}function fE(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r){var a,i=O(e.sourceLayer.inboundNodes[r].outputTensors);try{for(i.s();!(a=i.n()).done;){if(a.value.id===e.id){n=r;break}}}catch(iX){i.e(iX)}finally{i.f()}}t=e.sourceLayer.getOutputAt(n)}return t}function 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s,u=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(EI),c=O(u);try{for(c.s();!(s=c.n()).done;){var l,h=s.value,p=O(this.nodesByDepth[h]);try{for(p.s();!(l=p.n()).done;){var d,f=l.value,v=f.outboundLayer,m=f.inputTensors,g=f.outputTensors,y=new Array,b=O(m);try{for(b.s();!(d=b.n()).done;){var k=d.value;k.id in n&&y.push(n[k.id])}}catch(iX){b.e(iX)}finally{b.f()}if(y.length===m.length){var x={},w=void 0,S=void 0,N=void 0,I=void 0;if(null!=f.callArgs&&(x=f.callArgs),1===y.length){var T=C(y[0],2),E=T[0],_=T[1];null==x.mask&&(x.mask=_),N=kI(v.call(E,x)),I=kI(v.computeMask(E,_)),w=[E],S=[_]}else w=y.map((function(e){return e[0]})),S=y.map((function(e){return e[1]})),null==x.mask&&(x.mask=S),N=kI(v.call(w,x)),I=kI(v.computeMask(w,S));if(v.activityRegularizer)throw new dI("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var R=0;R<g.length;++R){var A=g[R],F=N[R],D=I[R];n[A.id]=[F,D]}}}}catch(iX){p.e(iX)}finally{p.f()}}}catch(iX){c.e(iX)}finally{c.f()}var M,L=[],z=[],P=[],B=O(this.outputs);try{for(B.s();!(M=B.n()).done;){var W=M.value;gI(W.id in n,"Could not compute output ".concat(W.name," : ").concat(W.id));var U=C(n[W.id],2),V=U[0],G=U[1];P.push(V.shape),L.push(V),z.push(G)}}catch(iX){B.e(iX)}finally{B.f()}return[L,z,P]}},{key:"buildNodeConversionMap",value:function(e){var t,r,a={},i=O(this.layers);try{for(i.s();!(r=i.n()).done;){var o=r.value;t=o instanceof n?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=n.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=t,t+=1)}}}catch(iX){i.e(iX)}finally{i.f()}return a}},{key:"getLayer",value:function(e,t){if(null!=t)return this.findLayer(t);if(null==e)throw new pI("Provide either a layer name or layer index");if("number"===typeof e)return this.findLayer(e);var n,r=O(this.layers);try{for(r.s();!(n=r.n()).done;){var a=n.value;if(a.name===e)return a}}catch(iX){r.e(iX)}finally{r.f()}throw new pI("No such layer: ".concat(e))}},{key:"findLayer",value:function(e){if(this.layers.length<=e)throw new pI("Was asked to retrieve layer at index ".concat(e,", but model only ")+"has ".concat(this.layers.length," layer(s)."));return this.layers[e]}},{key:"calculateLosses",value:function(){var e=this;return dg((function(){var t,r=[],a=O(e.layers);try{for(a.s();!(t=a.n()).done;)for(var i=t.value,o=0;o<i.inboundNodes.length;++o){var s=n.nodeKey(i,o);e.containerNodes.has(s)&&r.push.apply(r,_(i.calculateLosses()))}}catch(iX){a.e(iX)}finally{a.f()}return r}))}},{key:"getConfig",value:function(){var e,t={name:this.name},r=this.buildNodeConversionMap(this.layers),a=[],i=O(this.layers);try{for(i.s();!(e=i.n()).done;){for(var o=e.value,s=o.getClassName(),u=o.getConfig(),c=[],l=0;l<o.inboundNodes.length;l++){var h=o.inboundNodes[l],p=n.nodeKey(o,l),d={};if(this.containerNodes.has(p)){if(h.callArgs)try{JSON.stringify(h.callArgs),d=h.callArgs}catch(iX){console.warn("Layer ".concat(o.name," was 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The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");var e,t=O(this.layers);try{for(t.s();!(e=t.n()).done;){if(e.value.stateful)return!0}}catch(iX){t.e(iX)}finally{t.f()}return!1}},{key:"resetStates",value:function(){var e=this;dg((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>3&&void 0!==arguments[3]&&arguments[3],r={},a={};function i(e,t){e.name in a?a[e.name].push(t):a[e.name]=[t]}function o(e,t){var n,a,o=[],s=O(t);try{for(s.s();!(a=s.n()).done;){var u=a.value,c=u[0],l=u[1],h=u[2];if(n=null==u[3]?{}:u[3],!(c in r))return void i(e,t);var p=r[c];if(p.inboundNodes.length<=l)return void i(e,t);var d=p.inboundNodes[l];o.push(d.outputTensors[h])}}catch(iX){s.e(iX)}finally{s.f()}o.length>0&&e.apply(bI(o),n)}function s(e){var a=e.name,o=PE(e,null!=t.customObjects?t.customObjects:{});o.setFastWeightInitDuringBuild(n),r[a]=o,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new pI("Corrupted configuration, expected array for nodeData: ".concat(e));i(o,e)}))}var u,c=t.name,l=t.layers,h=O(l);try{for(h.s();!(u=h.n()).done;){s(u.value)}}catch(iX){h.e(iX)}finally{h.f()}for(;!_I(a);){var p,d=O(l);try{for(d.s();!(p=d.n()).done;){var f=p.value,v=r[f.name];if(v.name in a){var m=a[v.name];delete a[v.name];var g,y=O(m);try{for(y.s();!(g=y.n()).done;){o(v,g.value)}}catch(iX){y.e(iX)}finally{y.f()}}}}catch(iX){d.e(iX)}finally{d.f()}}var b,k=[],x=[],w=O(t.inputLayers);try{for(w.s();!(b=w.n()).done;){var S=b.value,N=S[0],I=S[1],T=S[2];gI(N in r);var E=r[N].inboundNodes[I].outputTensors;k.push(E[T])}}catch(iX){w.e(iX)}finally{w.f()}var C,_=O(t.outputLayers);try{for(_.s();!(C=_.n()).done;){var R=C.value,A=R[0],F=R[1],D=R[2];gI(A in r);var M=r[A].inboundNodes[F].outputTensors;x.push(M[D])}}catch(iX){_.e(iX)}finally{_.f()}return new e({inputs:k,outputs:x,name:c})}}]),n}(iE);function yC(e,t,n){var r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return null}));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"===typeof e&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error("Provided ".concat(n," is an array of ").concat(e.length," ")+"element(s), but the model has ".concat(r," outputs. 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")+"Provided ".concat(n," not understood: ").concat(JSON.stringify(e)))}function bC(e,t){return yC(e,t,"classWeight")}function kC(e,t,n,r){return xC.apply(this,arguments)}function xC(){return(xC=D(A().mark((function e(t,n,r,a){var i,o,s;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&null==a){e.next=2;break}throw new Error("Support sampleWeight is not implemented yet");case 2:if(null==r){e.next=15;break}return i=dg((function(){if(1===t.shape.length)return cg(t);if(2===t.shape.length){if(t.shape[1]>1){return Cy(t,1)}if(1===t.shape[1])return Hy(t,[t.shape[0]]);throw new Error("Encountered unexpected last-dimension size (".concat(t.shape[1],") ")+"during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor (".concat(t.rank,") during ")+"handling of class weights. The rank is expected to be 1 or 2.")})),e.t0=Array,e.next=7,i.data();case 7:return e.t1=e.sent,o=e.t0.from.call(e.t0,e.t1),fg(i),s=[],o.forEach((function(e){if(null==r[e])throw new Error("classWeight must contain all classes in the training data. "+"The class ".concat(e," exists in the data but not in ")+"classWeight");s.push(r[e])})),e.abrupt("return",bk(s,"float32"));case 15:return e.abrupt("return",null);case 16:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function wC(e,t){return kg(e,t)}var SC=32;function NC(e,t){var n,r,a=t;n=a.xs,r=a.ys,Fl(null!=n&&null!=r,(function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor.  The provided Dataset instead generates "+"".concat(t)}));var i=IC("input",e.inputNames,n),o=IC("output",e.outputNames,r),s=i[0].shape[0];Fl(i.length===e.inputs.length,(function(){return"LayersModel has ".concat(e.inputs.length," inputs, but the dataset ")+"provides ".concat(i.length," inputs.  (Expected input keys: ")+"".concat(JSON.stringify(e.inputNames),")")})),Fl(o.length===e.outputs.length,(function(){return"LayersModel has ".concat(e.outputs.length," outputs, but the dataset ")+"provides ".concat(o.length," outputs.  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Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&(RC(r.validationData)?Fl(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.validationBatches),(function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, "+"but got ".concat(r.validationBatches)})):(u=TC(r.validationData),o=u.xs,s=u.ys)),c=t.makeTrainFunction(),l=t.getDedupedMetricsNames(),h=i?l.slice().concat(l.map((function(e){return"val_"+e}))):l.slice(),p=OE(r.callbacks,r.yieldEvery),d=null==r.verbose?1:r.verbose,f=LE(p,d,r.epochs,null,null,_C(n,r),null,i,h),v=f.callbackList,m=f.history,v.setModel(t),t.history=m,e.next=22,v.onTrainBegin();case 22:return t.stopTraining_=!1,g=null==r.initialEpoch?0:r.initialEpoch,e.next=26,n.iterator();case 26:y=e.sent;case 27:if(!(g<r.epochs)){e.next=98;break}return b={},e.next=31,v.onEpochBegin(g);case 31:if(k=0,x=0,a){e.next=37;break}return e.next=36,n.iterator();case 36:y=e.sent;case 37:if(a&&!(k<r.batchesPerEpoch)){e.next=91;break}return e.next=40,y.next();case 40:if(w=e.sent,!a||!w.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+"".concat(r.batchesPerEpoch,", ")+"but your dataset iterator ran out of data after "+"".concat(k," batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+"".concat(r.batchesPerEpoch*r.epochs," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("break",91);case 44:if(null==w.value){e.next=73;break}return S=NC(t,w.value),N=S.xs,I=S.ys,(T={}).batch=x,T.size=N[0].shape[0],e.next=51,v.onBatchBegin(x,T);case 51:if(E=[],null==r.classWeight){e.next=64;break}C=bC(r.classWeight,t.outputNames),_=0;case 55:if(!(_<C.length)){e.next=64;break}return e.t0=E,e.next=59,kC(I[_],null,C[_]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++_,e.next=55;break;case 64:for(R=N.concat(I).concat(E),F=c(R),fg(R),D=0;D<l.length;++D)O=l[D],M=F[D],T[O]=M,vg(M);return e.next=70,v.onBatchEnd(x,T);case 70:CE(T),x++,k++;case 73:if(!(a?k>=r.batchesPerEpoch:w.done)){e.next=87;break}if(!i){e.next=86;break}if(L=void 0,!RC(r.validationData)){e.next=84;break}return e.t2=kI,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,L=(0,e.t2)(e.t3),e.next=85;break;case 84:L=kI(t.evaluate(o,s,{batchSize:null==r.validationBatchSize?SC:r.validationBatchSize,verbose:0}));case 85:for(z=0;z<t.metricsNames.length;++z)b["val_".concat(t.metricsNames[z])]=L[z];case 86:return e.abrupt("break",91);case 87:if(!t.stopTraining_){e.next=89;break}return e.abrupt("break",91);case 89:e.next=37;break;case 91:return e.next=93,v.onEpochEnd(g,b);case 93:if(g++,!t.stopTraining_){e.next=96;break}return e.abrupt("break",98);case 96:e.next=27;break;case 98:return e.next=100,v.onTrainEnd();case 100:return e.next=102,t.history.syncData();case 102:return e.abrupt("return",t.history);case 103:return e.prev=103,t.isTraining=!1,e.finish(103);case 106:case"end":return e.stop()}}),e,null,[[9,,103,106]])}))),CC.apply(this,arguments)}function _C(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function RC(e){return"function"===typeof e.iterator}function AC(e,t,n){return FC.apply(this,arguments)}function FC(){return FC=D(A().mark((function e(t,n,r){var a,i,o,s,u,c,l,h,p;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=(r=r||{}).batches,i=t.testFunction,o=[],!(r.verbose>0)){e.next=6;break}throw new dI("Verbose mode is not implemented yet.");case 6:if(Fl(!a||r.batches>0&&Number.isInteger(r.batches),(function(){return"Test loop expects `batches` to be a positive integer, but "+"received ".concat(JSON.stringify(r.batches))})),"function"!==typeof n.next){e.next=11;break}e.t0=n,e.next=14;break;case 11:return e.next=13,n.iterator();case 13:e.t0=e.sent;case 14:s=e.t0,u=0,c=0,l=A().mark((function e(){var n;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,s.next();case 2:if(n=e.sent,o=dg((function(){if(n.value){var e=NC(t,n.value),r=e.xs,a=e.ys,s=r.concat(a),l=dg((function(){return i(s)}));if(fg(s),0===c)for(var h=0;h<l.length;++h)o.push(Ig(0));for(var p=s[0].shape[0],d=function(e){var t=l[e],n=o[e];o[e]=dg((function(){return gg(o[e],kg(p,t))})),c>0&&fg(n)},f=0;f<l.length;++f)d(f);fg(l),u+=p,++c}return o})),!n.done){e.next=7;break}return a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+"batches (in this case, ".concat(r.batches," batches). 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'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),c=s.slice(1),l=0;l<u.length;++l){var h=u[l],p=c[l];if(null!=p&&h!==p)throw new pI("A target Tensor with shape ".concat(i.shape," was passed for an ")+"output of shape ".concat(s,", while using a loss function that ")+"expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=n&&n>0&&e[0].shape[0]%n!==0)throw new pI("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+"".concat(n,". Found: ").concat(e[0].shape[0]," sample(s)."));return[e,t]}},{key:"standardizeUserData",value:function(){var e=D(A().mark((function e(t,n,r,a){var i,o,s,u,c,l,h,p,d,f=arguments;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(i=!(f.length>4&&void 0!==f[4])||f[4],o=f.length>5?f[5]:void 0,s=this.standardizeUserDataXY(t,n,i,o),u=C(s,2),c=u[0],l=u[1],null==r){e.next=5;break}throw new Error("sample weight is not supported yet.");case 5:if(h=null,null==a){e.next=19;break}p=bC(a,this.outputNames),h=[],d=0;case 10:if(!(d<p.length)){e.next=19;break}return e.t0=h,e.next=14,kC(l[d],null,p[d]);case 14:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 16:++d,e.next=10;break;case 19:return e.abrupt("return",[c,l,h]);case 20:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a){return e.apply(this,arguments)}}()},{key:"testLoop",value:function(e,t,n){var r=this,a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4?arguments[4]:void 0;return dg((function(){var o=r.checkNumSamples(t,n,i,"steps"),s=[];if(a>0)throw new dI("Verbose mode is not implemented yet.");if(null!=i)throw new dI("steps mode in testLoop() is not implemented yet");for(var u=LC(o,n),c=bk(iT(0,o)),l=0;l<u.length;++l){var h=u[l][0],p=u[l][1],d=cT(c,h,p-h),f=MC(t,d),v=e(f);if(0===l)for(var m=0;m<v.length;++m)s.push(Ig(0));for(var g=0;g<v.length;++g){var y=v[g];s[g]=gg(s[g],kg(p-h,y))}}for(var b=0;b<s.length;++b)s[b]=bg(s[b],o);return s}))}},{key:"getDedupedMetricsNames",value:function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;if(yI(e,r)>1){var i=yI(e.slice(0,n),r);a+="_".concat(i)}t.push(a)}return t}},{key:"makeTrainFunction",value:function(){var e=this;return function(t){var n=[],r=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=t.slice(e.inputs.length+e.outputs.length,e.inputs.length+2*e.outputs.length),o=[],s=e.collectedTrainableWeights.map((function(e){return e.read()}));return[e.optimizer_.minimize((function(){for(var t=[],s=0;s<e.inputs.length;++s)t.push({key:e.inputs[s],value:r[s]});for(var u,c=new uE(t),l=hE(e.outputs,c,{training:!0}),h=0;h<e.lossFunctions.length;++h){var p=(0,e.lossFunctions[h])(a[h],l[h]);null!=i[h]&&(p=wC(p,i[h]));var d=Db(p);n.push(d),u=0===h?p:gg(u,p)}for(var f=0;f<e.metricsTensors.length;++f){var v=void 0;if(e.outputs.length>1&&f<e.outputs.length)v=n[f];else{var m=e.metricsTensors[f][0],g=e.metricsTensors[f][1];v=Db(m(a[g],l[g]))}vg(v),o.push(v)}return u=Db(u),e.calculateLosses().forEach((function(e){u=gg(u,e)})),u}),!0,s)].concat(o)}}},{key:"makeTestFunction",value:function(){var e=this;this.testFunction=function(t){return dg((function(){for(var n,r=[],a=t.slice(0,e.inputs.length),i=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:a[s]});for(var u=new uE(o),c=hE(e.outputs,u),l=0;l<e.lossFunctions.length;++l){var h=e.lossFunctions[l],p=Db(h(i[l],c[l]));n=0===l?p:gg(n,p),r.push(n)}for(var d=0;d<e.metricsTensors.length;++d){var f=e.metricsTensors[d][0],v=e.metricsTensors[d][1],m=Db(f(i[v],c[v]));r.push(m)}return r}))}}},{key:"fit",value:function(){var e=D(A().mark((function e(t,n){var r,a,i,o,s,u,c,l,h,p,d,f,v,m,g,y,b,k,x,w,S,N,I,T,E=arguments;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=E.length>2&&void 0!==E[2]?E[2]:{},!this.isTraining){e.next=3;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 3:return this.isTraining=!0,e.prev=4,DC(d=null==r.batchSize?32:r.batchSize),!1,e.next=10,this.standardizeUserData(t,n,r.sampleWeight,r.classWeight,false,d);case 10:if(f=e.sent,a=f[0],i=f[1],p=f[2],v=!1,!(null!=r.validationData&&r.validationData.length>0)){e.next=36;break}if(v=!0,2!==r.validationData.length){e.next=22;break}u=r.validationData[0],c=r.validationData[1],e.next=27;break;case 22:if(3!==r.validationData.length){e.next=26;break}throw new dI("validationData including sample weights is not supported yet.");case 26:throw new pI("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+"".concat(r.validationData," is invalid."));case 27:return!0,e.next=30,this.standardizeUserData(u,c,null,null,true,d);case 30:g=e.sent,l=g[0],h=g[1],m=l.concat(h),e.next=37;break;case 36:null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(v=!0,y=Math.floor(a[0].shape[0]*(1-r.validationSplit)),b=a[0].shape[0],l=OC(a,y,b),o=a,a=OC(a,0,y),h=OC(i,y,b),s=i,i=OC(i,0,y),m=l.concat(h)):null!=r.validationSteps&&(v=!0);case 37:return k=a.concat(i).concat(p),this.checkTrainableWeightsConsistency(),x=this.makeTrainFunction(),w=this.getDedupedMetricsNames(),v?(this.makeTestFunction(),S=this.testFunction,N=w.slice().concat(w.map((function(e){return"val_"+e})))):(S=null,m=[],N=w.slice()),I=OE(r.callbacks,r.yieldEvery),e.next=45,this.fitLoop(x,k,w,d,r.epochs,r.verbose,I,S,m,r.shuffle,N,r.initialEpoch,null,null);case 45:return T=e.sent,e.abrupt("return",T);case 47:return e.prev=47,this.isTraining=!1,PC(a,t),PC(i,n),PC(o,t),PC(s,n),PC(l,u),PC(h,c),null!=p&&fg(p),e.finish(47);case 57:case"end":return e.stop()}}),e,this,[[4,,47,57]])})));return function(t,n){return e.apply(this,arguments)}}()},{key:"fitLoop",value:function(){var e=D(A().mark((function e(t,n,r,a,i,o,s,u,c,l,h,p,d,f){var v,m,g,y,b,k,x,w,S=this;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==a&&(a=32),null==i&&(i=1),null==l&&(l=!0),null==p&&(p=0),v=!1,null!=u&&null!=c&&(v=!0),null==f){e.next=10;break}if(v=!0,null!=d){e.next=10;break}throw new pI("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");case 10:return null!=(m=this.checkNumSamples(n,a,d,"steps_per_epoch"))&&(g=iT(0,m)),null==o&&(o=1),y=LE(s,o,i,p,m,d,a,v,h),b=y.callbackList,k=y.history,b.setModel(this),this.history=k,e.next=18,b.onTrainBegin();case 18:this.stopTraining_=!1,x=A().mark((function e(){var i,o,s,h,p;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,b.onEpochBegin(w);case 2:if(i={},null==d){e.next=7;break}throw new dI("stepsPerEpoch mode is not implemented yet.");case 7:if("batch"!==l){e.next=11;break}throw new dI("batch shuffling is not implemneted yet");case 11:l&&El(g);case 12:o=bk(g),s=LC(m,a),h=A().mark((function e(l){var h;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return h={},e.next=3,b.onBatchBegin(l,h);case 3:return dg((function(){var e=s[l][0],p=s[l][1],d=cT(o,e,p-e);h.batch=l,h.size=p-e;for(var f=MC(n,d),m=t(f),g=0;g<r.length;++g){var y=r[g],b=m[g];h[y]=b,vg(b)}if(l===s.length-1&&v)for(var k=S.testLoop(u,c,a),x=0;x<r.length;++x){var w=r[x],N=k[x];vg(N),i["val_"+w]=N}})),e.next=6,b.onBatchEnd(l,h);case 6:if(CE(h),!S.stopTraining_){e.next=9;break}return e.abrupt("return","break");case 9:case"end":return e.stop()}}),e)})),p=0;case 16:if(!(p<s.length)){e.next=24;break}return e.delegateYield(h(p),"t0",18);case 18:if("break"!==e.t0){e.next=21;break}return e.abrupt("break",24);case 21:++p,e.next=16;break;case 24:o.dispose();case 25:return e.next=27,b.onEpochEnd(w,i);case 27:if(!S.stopTraining_){e.next=29;break}return e.abrupt("return","break");case 29:case"end":return e.stop()}}),e)})),w=p;case 21:if(!(w<i)){e.next=29;break}return e.delegateYield(x(),"t0",23);case 23:if("break"!==e.t0){e.next=26;break}return e.abrupt("break",29);case 26:++w,e.next=21;break;case 29:return e.next=31,b.onTrainEnd();case 31:return e.next=33,this.history.syncData();case 33:return e.abrupt("return",this.history);case 34:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i,o,s,u,c,l,h,p,d,f){return e.apply(this,arguments)}}()},{key:"fitDataset",value:function(){var e=D(A().mark((function e(t,n){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",EC(this,t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"trainOnBatch",value:function(){var e=D(A().mark((function e(t,n){var r,a,i,o,s,u,c,l,h,p;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.standardizeUserData(t,n);case 2:r=e.sent,a=r[0],i=r[1],o=this.makeTrainFunction(),s=o(a.concat(i)),u=[],c=O(s),e.prev=9,c.s();case 11:if((l=c.n()).done){e.next=19;break}return h=l.value,e.next=15,h.data();case 15:p=e.sent,u.push(p[0]);case 17:e.next=11;break;case 19:e.next=24;break;case 21:e.prev=21,e.t0=e.catch(9),c.e(e.t0);case 24:return e.prev=24,c.f(),e.finish(24);case 27:return fg(s),PC(r[0],t),PC(r[1],n),e.abrupt("return",bI(u));case 31:case"end":return e.stop()}}),e,this,[[9,21,24,27]])})));return function(t,n){return e.apply(this,arguments)}}()},{key:"getNamedWeights",value:function(e){for(var t=[],n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||t.push({name:r[i].originalName,tensor:a[i]});return t}},{key:"stopTraining",get:function(){return this.stopTraining_},set:function(e){this.stopTraining_=e}},{key:"optimizer",get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)}},{key:"dispose",value:function(){var e=zE(Ke(n.prototype),"dispose",this).call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var t=pg().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=t-pg().numTensors}return e}},{key:"getLossIdentifiers",value:function(){var e;if("string"===typeof this.loss)e=xI(this.loss);else if(Array.isArray(this.loss)){var t,n=O(this.loss);try{for(n.s();!(t=n.n()).done;){if("string"!==typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}}catch(iX){n.e(iX)}finally{n.f()}e=this.loss.map((function(e){return xI(e)}))}else{var r=Object.keys(this.loss);e={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var s=o[i];if("string"!==typeof a[s])throw new Error("Serialization of non-string loss is not supported.");e[s]=xI(a[s])}}return e}},{key:"getMetricIdentifiers",value:function(){if("string"===typeof this.metrics||"function"===typeof this.metrics)return[xI(iC(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return xI(iC(e))}));var e={};for(var t in this.metrics)e[t]=xI(iC(this.metrics[t]));return e}},{key:"getTrainingConfig",value:function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}},{key:"loadTrainingConfig",value:function(e){if(null!=e.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=e.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=e.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var t,n,r=PE(fC(e.optimizer_config));if("string"===typeof e.loss)t=wI(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return wI(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=wI(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return wI(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=wI(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})}},{key:"save",value:function(){var e=D(A().mark((function e(t,n){var r,a,i,o,s,u,c,l,h;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!==typeof t){e.next=9;break}if(0!==(r=xm(t)).length){e.next=6;break}throw new pI("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(r.length>1)){e.next=8;break}throw new pI("Found more than one (".concat(r.length,") save handlers for ")+"URL '".concat(t,"'"));case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new pI("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.next=13,tm(this.getNamedWeights(n));case 13:if(a=e.sent,!1,null,i=this.toJSON(null,false),o={modelTopology:i,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v".concat(mC),convertedBy:null},!(null!=n&&n.includeOptimizer)||null==this.optimizer){e.next=34;break}return o.trainingConfig=this.getTrainingConfig(),u="optimizer",e.t0=S,e.next=25,this.optimizer.getWeights();case 25:return e.t1=e.sent,e.t2=u,e.next=29,e.t0.encodeWeights.call(e.t0,e.t1,e.t2);case 29:c=e.sent,l=c.data,h=c.specs,(s=a.specs).push.apply(s,_(h)),a.data=cm([a.data,l]);case 34:return null!=this.userDefinedMetadata&&(!0,sC(this.userDefinedMetadata,this.name,true),o.userDefinedMetadata=this.userDefinedMetadata),o.weightData=a.data,o.weightSpecs=a.specs,e.abrupt("return",t.save(o));case 38:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"setUserDefinedMetadata",value:function(e){sC(e,this.name),this.userDefinedMetadata=e}},{key:"getUserDefinedMetadata",value:function(){return this.userDefinedMetadata}}]),n}(gC);GC.className="Model",Rg(GC);var HC=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n)}(GC);HC.className="Functional",Rg(HC);var jC=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),e=e||{},(r=t.call(this,{inputs:[],outputs:[]})).trainable=!0,r.built=!1,r.name=null!=e.name?e.name:PI("sequential_"),null!=e.layers){var a,i=O(e.layers);try{for(i.s();!(a=i.n()).done;){var o=a.value;r.add(o)}}catch(iX){i.e(iX)}finally{i.f()}}return r}return P(n,[{key:"checkShape",value:function(e){if(e.inboundNodes[0].outputTensors[0].shape.some((function(e){return e<0})))throw new pI("Negative dimension size caused by adding layer "+"".concat(e.name," with input shape [")+"".concat(e.inboundNodes[0].inputTensors[0].shape,"]"))}},{key:"add",value:function(e){var t,r=e instanceof n||e instanceof GC;if(r){if(1!==(t=e).outputs.length)throw new pI("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==t.inputs.length)throw new pI("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new pI("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=function(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=e.batchShape&&null!=e.shape)throw new pI("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n="float32"),new sE({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=t.outputs,this.inputs=t.inputs;else{if(1!==e.inboundNodes.length)throw new pI("A layer added to a Sequential model must not already be "+"connected somewhere else. LayersModel received layer ".concat(e.name," ")+"which has ".concat(e.inboundNodes.length," pre-existing inbound ")+"connections.");if(1!==e.inboundNodes[0].outputTensors.length)throw new pI("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=oE(this.outputs[0])}this.inboundNodes=[],new rE({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:mI(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map((function(e){return e.shape})),outputShapes:this.outputs[0].shape})}else{var i=e.apply(this.outputs[0]);if(Array.isArray(i))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[i],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1}},{key:"pop",value:function(){if(0===this.layers.length)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}},{key:"call",value:function(e,t){return null==this.model&&this.build(),this.model.call(e,t)}},{key:"build",value:function(e){if(XT(e),0===this.inputs.length||0===this.outputs.length)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new GC({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}},{key:"countParams",value:function(){return this.built||this.build(),zE(Ke(n.prototype),"countParams",this).call(this)}},{key:"summary",value:function(e,t){var r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:console.log;this.built||this.build(),zE(Ke(n.prototype),"summary",this).call(this,e,t,r)}},{key:"setWeights",value:function(e){null==this.model&&this.build(),this.model.setWeights(e)}},{key:"evaluate",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{};if(!this.built)throw new hI("The model needs to be compiled before being used.");return this.model.evaluate(e,t,n)}},{key:"evaluateDataset",value:function(){var e=D(A().mark((function e(t,n){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.built){e.next=2;break}throw new hI("The model needs to be compiled before being used.");case 2:return e.abrupt("return",this.model.evaluateDataset(t,n));case 3:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"predict",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return null==this.model&&this.build(),this.model.predict(e,t)}},{key:"predictOnBatch",value:function(e){return null==this.model&&this.build(),this.model.predictOnBatch(e)}},{key:"compile",value:function(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}},{key:"optimizer",get:function(){return null==this.model?void 0:this.model.optimizer},set:function(e){this.model.optimizer=e}},{key:"fit",value:function(){var e=D(A().mark((function e(t,n){var r,a=arguments;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=a.length>2&&void 0!==a[2]?a[2]:{},this.built){e.next=3;break}throw new hI("The model needs to be compiled before being used.");case 3:return e.abrupt("return",this.model.fit(t,n,r));case 4:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"fitDataset",value:function(){var e=D(A().mark((function e(t,n){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.built){e.next=2;break}throw new hI("The model needs to be compiled before being used.");case 2:return e.abrupt("return",this.model.fitDataset(t,n));case 3:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"trainOnBatch",value:function(){var e=D(A().mark((function e(t,n){return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.model.trainOnBatch(t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"stopTraining",get:function(){if(null==this.model)throw new pI("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining},set:function(e){if(null==this.model)throw new pI("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e}},{key:"getConfig",value:function(){var e,t=[],n=O(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value,a={};a.className=r.getClassName(),a.config=r.getConfig(),t.push(a)}}catch(iX){n.e(iX)}finally{n.f()}return{name:this.name,layers:t}}}],[{key:"fromConfig",value:function(e,t){var r,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i={};if(t instanceof Array){if(null==t[0].className||"Merge"===t[0].className)throw new pI("Legacy serialization format not supported yet.");r=t}else Fl(null!=t.layers,(function(){return"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."})),r=t.layers,delete t.layers,i=t;var o=new e(i);if(!(o instanceof n))throw new dI("Sequential.fromConfig called on non-Sequential input: ".concat(o));var s,u=O(r);try{for(u.s();!(s=u.n()).done;){var 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e_=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"apply",value:function(e){return fk(e)}}]),n}(KC);e_.className="softplus",Rg(e_);var t_=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"apply",value:function(e){return function(e){return dg((function(){return bg(e,gg(Pg(e),1))}))}(e)}}]),n}(KC);t_.className="softsign",Rg(t_);var n_=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"apply",value:function(e){return yk(e)}}]),n}(KC);n_.className="tanh",Rg(n_);var r_=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"apply",value:function(e){return dk(e,arguments.length>1&&void 0!==arguments[1]?arguments[1]:-1)}}]),n}(KC);r_.className="softmax",Rg(r_);var a_=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return 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l_(e){if(null!=e&&"object"!==typeof e)throw new Error("Argument to L1L2 regularizer's constructor is expected to be an "+"object, but received: ".concat(e))}o_.className="mish",Rg(o_);var h_=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n)}(Cg),p_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),r=t.call(this),l_(e),r.l1=null==e||null==e.l1?.01:e.l1,r.l2=null==e||null==e.l2?.01:e.l2,r.hasL1=0!==r.l1,r.hasL2=0!==r.l2,r}return P(n,[{key:"apply",value:function(e){var t=this;return dg((function(){var n=qb([1]);return t.hasL1&&(n=gg(n,Eb(kg(t.l1,Pg(e))))),t.hasL2&&(n=gg(n,Eb(kg(t.l2,yT(e))))),Hy(n,[])}))}},{key:"getConfig",value:function(){return{l1:this.l1,l2:this.l2}}}],[{key:"fromConfig",value:function(e,t){return new e({l1:t.l1,l2:t.l2})}}]),n}(h_);p_.className="L1L2",Rg(p_);var d_={l1l2:"L1L2"};function f_(e){return NI(e)}function v_(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return TI(e,_g.getMap().classNameMap,t,"regularizer")}function m_(e){return null==e?null:"string"===typeof e?v_({className:e in d_?d_[e]:e,config:{}}):e instanceof h_?e:v_(e)}var g_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,null!=e&&(r.maxValue=e.maxValue),r}return P(n,[{key:"call",value:function(e,t){e=qT(e);var n=rk(e);return null!=this.maxValue&&(n=Zy(n,0,this.maxValue)),n}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={maxValue:this.maxValue},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);g_.className="ReLU",Rg(g_);var y_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=.3,null==e&&(e={}),r.alpha=null==e.alpha?r.DEFAULT_ALPHA:e.alpha,r}return P(n,[{key:"call",value:function(e,t){var n=qT(e);return Sb(n,this.alpha)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);y_.className="LeakyReLU",Rg(y_);var b_=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),r.supportsMasking=!0,r.alphaInitializer=HT(e.alphaInitializer||r.DEFAULT_ALPHA_INITIALIZER),r.alphaRegularizer=m_(e.alphaRegularizer),r.alphaConstraint=IE(e.alphaConstraint),null==e.sharedAxes)r.sharedAxes=null;else if(Array.isArray(e.sharedAxes))r.sharedAxes=e.sharedAxes;else{if("number"!==typeof e.sharedAxes)throw new pI("Expected sharedAxes to be a number or an array of numbers, "+"but got ".concat(e.sharedAxes));r.sharedAxes=[e.sharedAxes]}return r}return P(n,[{key:"build",value:function(e){var t=(e=XT(e)).slice(1);if(null!=this.sharedAxes){var n,r=O(this.sharedAxes);try{for(r.s();!(n=r.n()).done;){t[n.value-1]=1}}catch(iX){r.e(iX)}finally{r.f()}}this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<e.length;++i)a[i]=e[i];this.inputSpec=[new eE({ndim:e.length,axes:a})],this.built=!0}},{key:"call",value:function(e,t){return e=qT(e),Jb(e,this.alpha.read())}},{key:"getConfig",value:function(){var e={alphaInitializer:GT(this.alphaInitializer),alphaRegularizer:f_(this.alphaRegularizer),alphaConstraint:SE(this.alphaConstraint),sharedAxes:this.sharedAxes},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);b_.className="PReLU",Rg(b_);var k_=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=1,null==e&&(e={}),null!=e.alpha&&e.alpha!==r.DEFAULT_ALPHA)throw new dI("Non-default alpha value (".concat(e.alpha,") is not supported by the 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M(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_AXIS=1,null==e&&(e={}),r.softmax=(new r_).apply,r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r}return P(n,[{key:"call",value:function(e,t){var n=qT(e);return this.softmax(n,this.axis)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={axis:this.axis},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);function S_(e,t,n){return(t=L(t))in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function N_(e,t,n){if("number"===typeof e)return mI(e,t);if(e.length!==t)throw new pI("The ".concat(n," argument must be an integer or tuple of ").concat(t," integers.")+" Received: ".concat(e.length," elements."));for(var r=0;r<t;++r){var a=e[r];if((i=a)!==parseInt(i.toString(),10))throw new pI("The ".concat(n," argument must be an integer or tuple of ").concat(t)+" integers. 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to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));if(3!==t.rank&&4!==t.rank)throw new pI("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));var u=E_(e,i);if("causal"===a)throw new dI("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=Wk({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=Ik(u,[0,3,1,2])),u}))}function A_(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0;return dg((function(){if(null==i&&(i="channelsLast"),jI(i),4!==e.rank&&5!==e.rank)throw new pI("conv3dWithBias expects input to be of rank 4 or 5, but received "+"".concat(e.rank,"."));if(4!==t.rank&&5!==t.rank)throw new pI("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+"".concat(e.rank,"."));var s=C_(e,i);if("causal"===a)throw new dI("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=ub(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=kT(s,n)),"channelsFirst"===i&&(s=Ik(s,[0,4,1,2,3])),s}))}w_.className="Softmax",Rg(w_);var F_=function(e){je(n,e);var t=Ye(n);function n(e,r){var a;if(M(this,n),(a=t.call(this,r)).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",n.verifyArgs(r),a.rank=e,FI(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new dI("Convolution layer for rank other than 1, 2, or 3 (".concat(a.rank,") is ")+"not implemented yet.");if(a.kernelSize=N_(r.kernelSize,e,"kernelSize"),a.strides=N_(null==r.strides?1:r.strides,e,"strides"),a.padding=null==r.padding?"valid":r.padding,KI(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,jI(a.dataFormat),a.activation=c_(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=HT(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=IE(r.biasConstraint),a.biasRegularizer=m_(r.biasRegularizer),a.activityRegularizer=m_(r.activityRegularizer),a.dilationRate=N_(null==r.dilationRate?1:r.dilationRate,e,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new pI("dilationRate must be a number or an array of a single number for 1D convolution, but received "+"".concat(JSON.stringify(a.dilationRate)));if(2===a.rank){if("number"===typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new pI("dilationRate must be a number or array of two numbers for 2D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)))}else if(3===a.rank)if("number"===typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new pI("dilationRate must be a number or array of three numbers for 3D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)));return a}return P(n,[{key:"getConfig",value:function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:s_(this.activation),useBias:this.useBias,biasInitializer:GT(this.biasInitializer),biasRegularizer:f_(this.biasRegularizer),activityRegularizer:f_(this.activityRegularizer),biasConstraint:SE(this.biasConstraint)},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(gI("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!==typeof e.kernelSize&&!AI(e.kernelSize,"number",1,3))throw new pI("BaseConv expects config.kernelSize to be number or number[] with "+"length 1, 2, or 3, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(iE),D_=function(e){je(n,e);var t=Ye(n);function n(e,r){var a;return M(this,n),(a=t.call(this,e,r)).kernel=null,n.verifyArgs(r),a.filters=r.filters,FI(a.filters,"filters"),a.kernelInitializer=HT(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=IE(r.kernelConstraint),a.kernelRegularizer=m_(r.kernelRegularizer),a}return P(n,[{key:"build",value:function(e){e=XT(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new pI("The channel dimension of the input should be defined. "+"Found ".concat(e[t]));var n=e[t],r=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",r,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:S_({},t,n)}],this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){var t;e=qT(e);var r=null==n.bias?null:n.bias.read(),a=OI(n.activation.getClassName());if(null!=a&&2===n.rank)t=R_(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=__(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=R_(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new dI("convolutions greater than 3D are not implemented yet.");t=A_(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))}},{key:"computeOutputShape",value:function(e){e=XT(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=I_(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"===typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var i=[e[0]];return"channelsLast"===this.dataFormat?(i=i.concat(t)).push(this.filters):(i.push(this.filters),i=i.concat(t)),i}},{key:"getConfig",value:function(){var e={filters:this.filters,kernelInitializer:GT(this.kernelInitializer),kernelRegularizer:f_(this.kernelRegularizer),kernelConstraint:SE(this.kernelConstraint)},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(!("filters"in e)||"number"!==typeof e.filters||e.filters<1)throw new pI("Convolution layer expected config.filters to be a 'number' > 0 "+"but got ".concat(JSON.stringify(e.filters)))}}]),n}(F_),O_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),r=t.call(this,2,e),n.verifyArgs(e),r}return P(n,[{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!==typeof e.kernelSize&&!AI(e.kernelSize,"number",1,2))throw new pI("Conv2D expects config.kernelSize to be number or number[] with "+"length 1 or 2, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(D_);O_.className="Conv2D",Rg(O_);var M_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),r=t.call(this,3,e),n.verifyArgs(e),r}return P(n,[{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!==typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new pI("Conv3D expects config.kernelSize to be number or"+" [number, number, number], but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(D_);M_.className="Conv3D",Rg(M_);var L_=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),(r=t.call(this,e)).inputSpec=[new eE({ndim:4})],"same"!==r.padding&&"valid"!==r.padding)throw new pI("Conv2DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return P(n,[{key:"build",value:function(e){if(4!==(e=XT(e)).length)throw new pI("Input should have rank 4; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new pI("The channel dimension of the inputs should be defined. Found `None`.");var n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new eE({ndim:4,axes:S_({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){var t=qT(e);if(4!==t.shape.length)throw new pI("Conv2DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i=t.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],c=n.kernelSize[0],l=n.kernelSize[1],h=n.strides[0],p=n.strides[1],d=[o,T_(s,h,c,n.padding),T_(u,p,l,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=Ik(t,[0,2,3,1]));var f=sb(t,n.kernel.read(),d,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(f=Ik(f,[0,3,1,2])),null!=n.bias&&(f=kT(f,n.bias.read(),n.dataFormat)),null!=n.activation&&(f=n.activation.apply(f)),f}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=(e=XT(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=T_(a[n],s,i,this.padding),a[r]=T_(a[r],u,o,this.padding),a}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(O_);L_.className="Conv2DTranspose",Rg(L_);var z_=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),(r=t.call(this,e)).inputSpec=[new eE({ndim:5})],"same"!==r.padding&&"valid"!==r.padding)throw new pI("Conv3DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return P(n,[{key:"build",value:function(e){if(5!==(e=XT(e)).length)throw new pI("Input should have rank 5; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new pI("The channel dimension of the inputs should be defined. Found `None`.");var n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new eE({ndim:5,axes:S_({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){var t=qT(e);if(5!==t.shape.length)throw new pI("Conv3DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(i=2,r=3,a=4):(i=1,r=2,a=3);var u=o[i],c=o[r],l=o[a],h=n.kernelSize[0],p=n.kernelSize[1],d=n.kernelSize[2],f=n.strides[0],v=n.strides[1],m=n.strides[2],g=[s,T_(u,f,h,n.padding),T_(c,v,p,n.padding),T_(l,m,d,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=Ik(t,[0,2,3,4,1]));var y=lb(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=Ik(y,[0,4,1,2,3])),null!==n.bias&&(y=kT(y,n.bias.read(),n.dataFormat)),null!==n.activation&&(y=n.activation.apply(y)),y}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a,i=(e=XT(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3,a=4):(t=4,n=1,r=2,a=3);var o=this.kernelSize[0],s=this.kernelSize[1],u=this.kernelSize[2],c=this.strides[0],l=this.strides[1],h=this.strides[2];return i[t]=this.filters,i[n]=T_(i[n],c,o,this.padding),i[r]=T_(i[r],l,s,this.padding),i[a]=T_(i[a],h,u,this.padding),i}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(M_);z_.className="Conv3DTranspose",Rg(z_);var P_=function(e){je(n,e);var t=Ye(n);function n(e,r){var a;if(M(this,n),(a=t.call(this,e,r)).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",a.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",a.depthwiseKernel=null,a.pointwiseKernel=null,null==r.filters)throw new pI("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=r.kernelInitializer||null!=r.kernelRegularizer||null!=r.kernelConstraint)throw new pI("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=r.padding&&"same"!==r.padding&&"valid"!==r.padding)throw new pI("SeparableConv".concat(a.rank,"D supports only padding modes: ")+"'same' and 'valid', but received ".concat(JSON.stringify(r.padding)));return a.depthMultiplier=null==r.depthMultiplier?1:r.depthMultiplier,a.depthwiseInitializer=HT(r.depthwiseInitializer||a.DEFAULT_DEPTHWISE_INITIALIZER),a.depthwiseRegularizer=m_(r.depthwiseRegularizer),a.depthwiseConstraint=IE(r.depthwiseConstraint),a.pointwiseInitializer=HT(r.depthwiseInitializer||a.DEFAULT_POINTWISE_INITIALIZER),a.pointwiseRegularizer=m_(r.pointwiseRegularizer),a.pointwiseConstraint=IE(r.pointwiseConstraint),a}return P(n,[{key:"build",value:function(e){if((e=XT(e)).length<this.rank+2)throw new pI("Inputs to SeparableConv".concat(this.rank,"D should have rank ")+"".concat(this.rank+2,", but received input shape: ")+"".concat(JSON.stringify(e)));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new pI("The channel dimension of the inputs should be defined, "+"but found ".concat(JSON.stringify(e[t])));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),a=[],i=0;i<this.rank;++i)a.push(1);a.push(n*this.depthMultiplier,this.filters);var o=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",r,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,o,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",a,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,o,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,o,this.biasConstraint):this.bias=null,this.inputSpec=[new eE({ndim:this.rank+2,axes:S_({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){var t;if(e=qT(e),1===n.rank)throw new dI("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=Ik(e,[0,2,3,1])),t=ok(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=kT(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=Ik(t,[0,3,1,2])),t}))}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=GT(this.depthwiseInitializer),e.pointwiseInitializer=GT(this.pointwiseInitializer),e.depthwiseRegularizer=f_(this.depthwiseRegularizer),e.pointwiseRegularizer=f_(this.pointwiseRegularizer),e.depthwiseConstraint=SE(this.depthwiseConstraint),e.pointwiseConstraint=SE(this.pointwiseConstraint),e}}]),n}(D_);P_.className="SeparableConv";var B_=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,2,e)}return P(n)}(P_);B_.className="SeparableConv2D",Rg(B_);var W_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),r=t.call(this,1,e),n.verifyArgs(e),r.inputSpec=[{ndim:3}],r}return P(n,[{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.dataFormat,e}}],[{key:"verifyArgs",value:function(e){if("number"!==typeof e.kernelSize&&!AI(e.kernelSize,"number",1,1))throw new pI("Conv1D expects config.kernelSize to be number or number[] with "+"length 1, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(D_);W_.className="Conv1D",Rg(W_);var U_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),r=t.call(this,e),"number"===typeof e.cropping?r.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"===typeof e.cropping[0]?r.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:r.cropping=e.cropping,r.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,r.inputSpec=[{ndim:4}],r}return P(n,[{key:"computeOutputShape",value:function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}},{key:"call",value:function(e,t){var n=this;return dg((function(){if(e=qT(e),"channelsLast"===n.dataFormat){var t=hT(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return hT(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=hT(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return hT(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))}},{key:"getConfig",value:function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);U_.className="Cropping2D",Rg(U_);var V_=function(e){je(n,e);var t=Ye(n);function n(e){var r,a;return M(this,n),(r=t.call(this,e)).DEFAULT_SIZE=[2,2],r.inputSpec=[{ndim:4}],r.size=null==e.size?r.DEFAULT_SIZE:e.size,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jI(r.dataFormat),r.interpolation=null==e.interpolation?"nearest":e.interpolation,a=r.interpolation,RI(WI,"InterpolationFormat",a),r}return P(n,[{key:"computeOutputShape",value:function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}var r=null==e[1]?null:this.size[0]*e[1],a=null==e[2]?null:this.size[1]*e[2];return[e[0],r,a,e[3]]}},{key:"call",value:function(e,t){var n=this;return dg((function(){var t=qT(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=Ik(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?Fx.resizeNearestNeighbor(t,[a,i]):Fx.resizeBilinear(t,[a,i]);return Ik(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?Fx.resizeNearestNeighbor(t,[s,u]):Fx.resizeBilinear(t,[s,u])}))}},{key:"getConfig",value:function(){var e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);V_.className="UpSampling2D",Rg(V_);var G_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,2,e)).depthwiseKernel=null,r.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,r.depthwiseInitializer=HT(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=IE(e.depthwiseConstraint),r.depthwiseRegularizer=m_(e.depthwiseRegularizer),r}return P(n,[{key:"build",value:function(e){if((e=XT(e)).length<4)throw new pI("Inputs to DepthwiseConv2D should have rank 4. "+"Received input shape: ".concat(JSON.stringify(e),"."));var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new pI("The channel dimension of the inputs to DepthwiseConv2D should "+"be defined, but is not (".concat(e[t],")."));var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){var t=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[1,1],r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"valid",a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0;return dg((function(){null==a&&(a="channelsLast"),jI(a);var o=E_(e,a);if(4!==e.rank)throw new pI("Input for depthwiseConv2d is required to be 4-D, but is instead "+"".concat(e.rank,"-D"));if(4!==t.rank)throw new pI("depthwiseKernel is required to be 4-D, but is instead "+"".concat(t.rank,"-D"));return o=pb(o,t,n,"same"===r?"same":"valid","NHWC",i),"channelsFirst"===a&&(o=Ik(o,[0,3,1,2])),o}))}(e=qT(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=kT(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t}))}},{key:"computeOutputShape",value:function(e){e=XT(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=I_(t,this.kernelSize[0],this.padding,this.strides[0]),i=I_(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=GT(this.depthwiseInitializer),e.depthwiseRegularizer=f_(this.depthwiseRegularizer),e.depthwiseConstraint=SE(this.depthwiseRegularizer),e}}]),n}(F_);function H_(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new pI("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function j_(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]&&arguments[6],s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];return dg((function(){var u=t.shape.length;if(u<3)throw new pI("Input should be at least 3D, but is ".concat(u,"D."));var c=[1,0].concat(iT(2,u));if(t=Ik(t,c),null!=i)throw new dI("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=ug(ug(a,"bool"),"float32")).rank===u-1&&(a=mb(a,-1)),a=Ik(a,c)),r&&(t=ak(t,0),null!=a&&(a=ak(a,0)));var l,h,p=[],d=n,f=t.shape[0],v=xk(t);null!=a&&(h=xk(a));for(var m,g=function(t){var n=v[t],r=dg((function(){return e(n,d)}));if(null==a)l=r[0],d=r[1];else{var i=dg((function(){var e=h[t],n=Lg(Yb(e),e);return{output:gg(kg(r[0],e),kg(d[0],n)),newStates:d.map((function(t,a){return gg(kg(r[1][a],e),kg(t,n))}))}}));l=i.output,d=i.newStates}s&&p.push(l)},y=0;y<f;++y)g(y);if(s){m=gk(p,1)}return[l,m,d]}))}G_.className="DepthwiseConv2D",Rg(G_);var K_=function(e){je(n,e);var t=Ye(n);function n(e){var r,a;if(M(this,n),r=t.call(this,e),null==e.cell)throw new pI("cell property is missing for the constructor of RNN.");if(null==(a=Array.isArray(e.cell)?new eR({cells:e.cell}):e.cell).stateSize)throw new pI("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=a,r.returnSequences=null!=e.returnSequences&&e.returnSequences,r.returnState=null!=e.returnState&&e.returnState,r.goBackwards=null!=e.goBackwards&&e.goBackwards,r._stateful=null!=e.stateful&&e.stateful,r.unroll=null!=e.unroll&&e.unroll,r.supportsMasking=!0,r.inputSpec=[new eE({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return P(n,[{key:"getStates",value:function(){return null==this.states_?iT(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_}},{key:"setStates",value:function(e){this.states_=e}},{key:"computeOutputShape",value:function(e){jT(e)&&(e=e[0]);var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){var a,i=[],o=O(t);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push([e[0],s])}}catch(iX){o.e(iX)}finally{o.f()}return[n].concat(i)}return n}},{key:"computeMask",value:function(e,t){var n=this;return dg((function(){Array.isArray(t)&&(t=t[0]);var e=n.returnSequences?t:null;if(n.returnState){var r=n.states.map((function(e){return null}));return[e].concat(r)}return e}))}},{key:"states",get:function(){if(null==this.states_){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[],n=0;n<e;++n)t.push(null);return t}return this.states_},set:function(e){this.states_=e}},{key:"build",value:function(e){if(null!=this.numConstants)throw new dI("Constants support is not implemented in RNN yet.");jT(e)&&(e=e[0]);var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new eE({shape:[t,null].concat(_(n))});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!Ll(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new pI("An initialState was passed that is not compatible with "+"cell.stateSize. Received stateSpec=".concat(this.stateSpec,"; ")+"However cell.stateSize is ".concat(this.cell.stateSize))}else this.stateSpec=r.map((function(e){return new eE({shape:[null,e]})}));this.stateful&&this.resetStates()}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];dg((function(){if(!t.stateful)throw new lI("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape[0];if(null==r)throw new pI("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.states_)Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return qb([r,e])})):t.states_=[qb([r,t.cell.stateSize])];else if(null==e)fg(t.states_),null!=t.keptStates&&(fg(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return qb([r,e])})):t.states_[0]=qb([r,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new pI("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));!0===n?t.keptStates.push(t.states_.slice()):fg(t.states_);for(var a=0;a<t.states_.length;++a){var i=e[a],o=Array.isArray(t.cell.stateSize)?t.cell.stateSize[a]:t.cell.stateSize,s=[r,o];if(!Ll(i.shape,s))throw new pI("State ".concat(a," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(s,", received shape=").concat(i.shape));t.states_[a]=i}}t.states_=t.states_.map((function(e){return vg(e.clone())}))}))}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=H_(e,r,a,this.numConstants);e=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){t.initialState=r,o=o.concat(r),this.stateSpec=[];var u,c=O(r);try{for(c.s();!(u=c.n()).done;){var l=u.value;this.stateSpec.push(new eE({shape:l.shape}))}}catch(iX){c.e(iX)}finally{c.f()}s=s.concat(this.stateSpec)}if(null!=a&&(t.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof tE){var h=[e].concat(o),p=this.inputSpec.concat(s),d=this.inputSpec;this.inputSpec=p;var f=zE(Ke(n.prototype),"apply",this).call(this,h,t);return this.inputSpec=d,f}return zE(Ke(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return dg((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=qT(e),null==i&&(i=n.stateful?n.states_:n.getInitialState(e));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new pI("RNN Layer has ".concat(o," state(s) but was passed ")+"".concat(i.length," initial state(s)."));n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=j_((function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]}),e,i,n.goBackwards,r,null,n.unroll,n.returnSequences),c=u[0],l=u[1],h=u[2];n.stateful&&n.resetStates(h,a);var p=n.returnSequences?l:c;return n.returnState?[p].concat(h):p}))}},{key:"getInitialState",value:function(e){var t=this;return dg((function(){var n=qb(e.shape);return n=uT(n=Eb(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?fT(n,[1,e]):n})):t.cell.stateSize>1?[fT(n,[1,t.cell.stateSize])]:[n]}))}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}},{key:"setFastWeightInitDuringBuild",value:function(e){zE(Ke(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var r=this.cell.getConfig();return this.getClassName()===n.className&&(t.cell={className:this.cell.getClassName(),config:r}),Object.assign(Object.assign(Object.assign({},r),e),t)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=PE(t.cell,n);return new e(Object.assign(t,{cell:r}))}}]),n}(iE);K_.className="RNN",Rg(K_);var q_=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n)}(iE),X_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,FI(r.units,"units"),r.activation=c_(null==e.activation?r.DEFAULT_ACTIVATION:e.activation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=HT(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=HT(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=HT(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=m_(e.kernelRegularizer),r.recurrentRegularizer=m_(e.recurrentRegularizer),r.biasRegularizer=m_(e.biasRegularizer),r.kernelConstraint=IE(e.kernelConstraint),r.recurrentConstraint=IE(e.recurrentConstraint),r.biasConstraint=IE(e.biasConstraint),r.dropout=rT([1,aT([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=rT([1,aT([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return P(n,[{key:"build",value:function(e){e=XT(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){if(2!==e.length)throw new pI("SimpleRNNCell expects 2 input Tensors, got ".concat(e.length,"."));var r=e[1];e=e[0];var a,i=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=tR({ones:function(){return Yb(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=tR({ones:function(){return Yb(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=mT(null!=o?kg(e,o):e,n.kernel.read()),null!=n.bias&&(a=kT(a,n.bias.read())),null!=s&&(r=kg(r,s));var u=gg(a,mT(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:s_(this.activation),useBias:this.useBias,kernelInitializer:GT(this.kernelInitializer),recurrentInitializer:GT(this.recurrentInitializer),biasInitializer:GT(this.biasInitializer),kernelRegularizer:f_(this.kernelRegularizer),recurrentRegularizer:f_(this.recurrentRegularizer),biasRegularizer:f_(this.biasRegularizer),activityRegularizer:f_(this.activityRegularizer),kernelConstraint:SE(this.kernelConstraint),recurrentConstraint:SE(this.recurrentConstraint),biasConstraint:SE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}}]),n}(q_);X_.className="SimpleRNNCell",Rg(X_);var Y_=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),e.cell=new X_(e),t.call(this,e)}return P(n,[{key:"call",value:function(e,t){var r=this;return dg((function(){null!=r.cell.dropoutMask&&(fg(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(fg(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return zE(Ke(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(K_);Y_.className="SimpleRNN",Rg(Y_);var Q_=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new pI("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,FI(r.units,"units"),r.activation=c_(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=c_(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=HT(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=HT(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=HT(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=m_(e.kernelRegularizer),r.recurrentRegularizer=m_(e.recurrentRegularizer),r.biasRegularizer=m_(e.biasRegularizer),r.kernelConstraint=IE(e.kernelConstraint),r.recurrentConstraint=IE(e.recurrentConstraint),r.biasConstraint=IE(e.biasConstraint),r.dropout=rT([1,aT([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=rT([1,aT([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return P(n,[{key:"build",value:function(e){var t=(e=XT(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){if(2!==e.length)throw new pI("GRUCell expects 2 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=null!=t.training&&t.training,a=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=tR({ones:function(){return Yb(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=tR({ones:function(){return Yb(a)},rate:n.recurrentDropout,training:r,count:3,dropoutFunc:n.dropoutFunc}));var i,o,s,u=n.dropoutMask,c=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=kg(e,u[0]));var l=mT(e,n.kernel.read());n.useBias&&(l=kT(l,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=kg(a,c[0]));var h=n.recurrentKernel.read(),p=C(vk(h,[2*n.units,n.units],h.rank-1),2),d=p[0],f=p[1],v=mT(a,d),m=C(vk(l,3,l.rank-1),3),g=m[0],y=m[1],b=m[2],k=C(vk(v,2,v.rank-1),2),x=k[0],w=k[1];i=n.recurrentActivation.apply(gg(g,x)),o=n.recurrentActivation.apply(gg(y,w));var S=mT(kg(o,a),f);s=n.activation.apply(gg(b,S));var N=gg(kg(i,a),kg(gg(1,Hb(i)),s));return[N,N]}))}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:s_(this.activation),recurrentActivation:s_(this.recurrentActivation),useBias:this.useBias,kernelInitializer:GT(this.kernelInitializer),recurrentInitializer:GT(this.recurrentInitializer),biasInitializer:GT(this.biasInitializer),kernelRegularizer:f_(this.kernelRegularizer),recurrentRegularizer:f_(this.recurrentRegularizer),biasRegularizer:f_(this.biasRegularizer),activityRegularizer:f_(this.activityRegularizer),kernelConstraint:SE(this.kernelConstraint),recurrentConstraint:SE(this.recurrentConstraint),biasConstraint:SE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign(Object.assign({},e),t)}}]),n}(q_);Q_.className="GRUCell",Rg(Q_);var J_=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new Q_(e),t.call(this,e)}return P(n,[{key:"call",value:function(e,t){var r=this;return dg((function(){null!=r.cell.dropoutMask&&(fg(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(fg(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return zE(Ke(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(K_);J_.className="GRU",Rg(J_);var Z_=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,FI(r.units,"units"),r.activation=c_(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=c_(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=HT(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=HT(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=HT(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=m_(e.kernelRegularizer),r.recurrentRegularizer=m_(e.recurrentRegularizer),r.biasRegularizer=m_(e.biasRegularizer),r.kernelConstraint=IE(e.kernelConstraint),r.recurrentConstraint=IE(e.recurrentConstraint),r.biasConstraint=IE(e.biasConstraint),r.dropout=rT([1,aT([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=rT([1,aT([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=[r.units,r.units],r.dropoutMask=null,r.recurrentDropoutMask=null,r}return P(n,[{key:"build",value:function(e){var t,n,r=(e=XT(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,i=this.units;n=new(t=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"apply",value:function(e,t){var n=a.apply([i]),r=(new ET).apply([i]),o=a.apply([2*i]);return dT(dT(n,r),o)}}]),n}(IT),t.className="CustomInit",t)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){var r=null!=t.training&&t.training;if(3!==e.length)throw new pI("LSTMCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=tR({ones:function(){return Yb(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=tR({ones:function(){return Yb(a)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var o,s,u,c,l=n.dropoutMask,h=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=kg(e,l[0]));var p=mT(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=kg(a,h[0])),p=gg(p,mT(a,n.recurrentKernel.read())),n.useBias&&(p=kT(p,n.bias.read()));var d=C(vk(p,4,p.rank-1),4),f=d[0],v=d[1],m=d[2],g=d[3];o=n.recurrentActivation.apply(f),s=n.recurrentActivation.apply(v),u=gg(kg(s,i),kg(o,n.activation.apply(m))),c=n.recurrentActivation.apply(g);var y=kg(c,n.activation.apply(u));return[y,y,u]}))}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:s_(this.activation),recurrentActivation:s_(this.recurrentActivation),useBias:this.useBias,kernelInitializer:GT(this.kernelInitializer),recurrentInitializer:GT(this.recurrentInitializer),biasInitializer:GT(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:f_(this.kernelRegularizer),recurrentRegularizer:f_(this.recurrentRegularizer),biasRegularizer:f_(this.biasRegularizer),activityRegularizer:f_(this.activityRegularizer),kernelConstraint:SE(this.kernelConstraint),recurrentConstraint:SE(this.recurrentConstraint),biasConstraint:SE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign(Object.assign({},e),t)}}]),n}(q_);Z_.className="LSTMCell",Rg(Z_);var $_=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new Z_(e),t.call(this,e)}return P(n,[{key:"call",value:function(e,t){var r=this;return dg((function(){null!=r.cell.dropoutMask&&(fg(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(fg(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return zE(Ke(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(K_);$_.className="LSTM",Rg($_);var eR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).cells=e.cells,r}return P(n,[{key:"stateSize",get:function(){var e,t=[],n=O(this.cells.slice().reverse());try{for(n.s();!(e=n.n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,_(r.stateSize)):t.push(r.stateSize)}}catch(iX){n.e(iX)}finally{n.f()}return t}},{key:"call",value:function(e,t){var n=this;return dg((function(){var r,a=e.slice(1),i=[],o=O(n.cells.slice().reverse());try{for(o.s();!(r=o.n()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}}catch(iX){o.e(iX)}finally{o.f()}i.reverse();for(var u,c=[],l=0;l<n.cells.length;++l){var h=n.cells[l];a=i[l],u=0===l?[e[0]].concat(a):[u[0]].concat(a),u=h.call(u,t),c.push(u.slice(1))}a=[];var p,d=O(c.slice().reverse());try{for(d.s();!(p=d.n()).done;){var f,v=p.value;(f=a).push.apply(f,_(v))}}catch(iX){d.e(iX)}finally{d.f()}return[u[0]].concat(a)}))}},{key:"build",value:function(e){var t;jT(e)&&(e=e[0]),this.cells.forEach((function(n,r){QI("RNNCell_".concat(r),(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign(Object.assign({},e),t)}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,_(r.trainableWeights))}}catch(iX){n.e(iX)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,_(r.nonTrainableWeights))}}catch(iX){n.e(iX)}finally{n.f()}if(!this.trainable){var a,i=[],o=O(this.cells);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,_(s.trainableWeights))}}catch(iX){o.e(iX)}finally{o.f()}return i.concat(t)}return t}},{key:"getWeights",value:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,_(r.weights))}}catch(iX){n.e(iX)}finally{n.f()}return ZT(t)}},{key:"setWeights",value:function(e){var t,n=[],r=O(this.cells);try{for(r.s();!(t=r.n()).done;)for(var a=t.value,i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)n.push([a.weights[s],o[s]])}catch(iX){r.e(iX)}finally{r.f()}$T(n)}}],[{key:"fromConfig",value:function(e,t){var n,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=[],i=O(t.cells);try{for(i.s();!(n=i.n()).done;){var o=n.value;a.push(PE(o,r))}}catch(iX){i.e(iX)}finally{i.f()}return new e({cells:a})}}]),n}(q_);function tR(e){var t=e.ones,n=e.rate,r=e.training,a=void 0!==r&&r,i=e.count,o=void 0===i?1:i,s=e.dropoutFunc,u=function(){return null!=s?s(t(),n):xT(t(),n)},c=function(){return wT(u,t,a)};return!o||o<=1?vg(c().clone()):Array(o).fill(void 0).map(c).map((function(e){return vg(e.clone())}))}eR.className="StackedRNNCells",Rg(eR);var nR=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"===typeof Object.getOwnPropertySymbols){var a=0;for(r=Object.getOwnPropertySymbols(e);a<r.length;a++)t.indexOf(r[a])<0&&Object.prototype.propertyIsEnumerable.call(e,r[a])&&(n[r[a]]=e[r[a]])}return n},rR=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),e.unroll)throw new dI("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new dI("It is not possible at the moment to stack convolutional cells.");return(r=t.call(this,e)).inputSpec=[new eE({ndim:5})],r}return P(n,[{key:"call",value:function(e,t){var r=this;return dg((function(){if(null!=r.cell.dropoutMask&&(fg(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(fg(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),t&&t.constants)throw new pI("ConvRNN2D cell does not support constants");var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return zE(Ke(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}},{key:"computeOutputShape",value:function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(_(t.slice(2)))),this.returnState&&(t=[t].concat(_(Array(2).fill([e[0]].concat(_(t.slice(-3))))))),t}},{key:"getInitialState",value:function(e){var t=this;return dg((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=qb([a[0]].concat(_(a.slice(2))));return Array.isArray(n)?Array(n.length).fill(i):[i]}))}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];dg((function(){if(!t.stateful)throw new lI("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape,a=t.computeSingleOutputShape(r),i=[a[0]].concat(_(a.slice(2)));if(null==r[0])throw new pI("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.getStates())Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return qb(i)})):t.states_=[qb(i)];else if(null==e)fg(t.states_),null!=t.keptStates&&(fg(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return qb(i)})):t.states_[0]=qb(i);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new pI("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));n?t.keptStates.push(t.states_.slice()):fg(t.states_);for(var o=0;o<t.states_.length;++o){var s=e[o],u=i;if(!Ll(s.shape,u))throw new pI("State ".concat(o," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(u,", received shape=").concat(s.shape));t.states_[o]=s}}t.states_=t.states_.map((function(e){return vg(e.clone())}))}))}},{key:"computeSingleOutputShape",value:function(e){var t=this.cell,n=t.dataFormat,r=t.filters,a=t.kernelSize,i=t.padding,o=t.strides,s=t.dilationRate,u="channelsFirst"===n,c=e[u?3:2],l=e[u?4:3],h=I_(c,a[0],i,o[0],s[0]),p=I_(l,a[1],i,o[1],s[1]);return[].concat(_(e.slice(0,2)),_(u?[r,h,p]:[h,p,r]))}}]),n}(K_);rR.className="ConvRNN2D";var aR=function(e){je(n,e);var t=Ye(n);function n(e){var r;M(this,n);var a=e.filters,i=e.kernelSize,o=e.strides,s=e.padding,u=e.dataFormat,c=e.dilationRate;return(r=t.call(this,Object.assign(Object.assign({},e),{units:a}))).filters=a,FI(r.filters,"filters"),r.kernelSize=N_(i,2,"kernelSize"),r.kernelSize.forEach((function(e){return FI(e,"kernelSize")})),r.strides=N_(o||1,2,"strides"),r.strides.forEach((function(e){return FI(e,"strides")})),r.padding=s||"valid",KI(r.padding),r.dataFormat=u||"channelsLast",jI(r.dataFormat),r.dilationRate=N_(c||1,2,"dilationRate"),r.dilationRate.forEach((function(e){return FI(e,"dilationRate")})),r}return P(n,[{key:"build",value:function(e){var t;e=XT(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new pI("The channel dimension of the input should be defined. "+"Found ".concat(e[n]));var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new(t=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"apply",value:function(e,t){return pT([s.apply([u]),Xb([u]),s.apply([2*u])])}}]),n}(IT),t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){if(3!==e.length)throw new pI("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=t.training||!1,a=e[0],i=e[1],o=e[2];0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=tR({ones:function(){return Yb(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?kg(t[n],e):e},c=u(a,s,0),l=u(a,s,1),h=u(a,s,2),p=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=tR({ones:function(){return Yb(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var d=n.recurrentDropoutMask,f=u(i,d,0),v=u(i,d,1),m=u(i,d,2),g=u(i,d,3),y=C(vk(n.kernel.read(),4,3),4),b=y[0],k=y[1],x=y[2],w=y[3],S=C(n.useBias?vk(n.bias.read(),4):[null,null,null,null],4),N=S[0],I=S[1],T=S[2],E=S[3];c=n.inputConv(c,b,N,n.padding),l=n.inputConv(l,k,I,n.padding),h=n.inputConv(h,x,T,n.padding),p=n.inputConv(p,w,E,n.padding);var _=C(vk(n.recurrentKernel.read(),4,3),4),R=_[0],A=_[1],F=_[2],D=_[3];f=n.recurrentConv(f,R),v=n.recurrentConv(v,A),m=n.recurrentConv(m,F),g=n.recurrentConv(g,D);var O=n.recurrentActivation.apply(gg(c,f)),M=n.recurrentActivation.apply(gg(l,v)),L=gg(kg(M,o),kg(O,n.activation.apply(gg(h,m)))),z=kg(n.recurrentActivation.apply(gg(p,g)),n.activation.apply(L));return[z,z,L]}))}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t=(e.units,nR(e,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},t),r)}},{key:"inputConv",value:function(e,t,n,r){var a=ab(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?kT(a,n,this.dataFormat):a}},{key:"recurrentConv",value:function(e,t){return ab(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")}}]),n}(Z_);aR.className="ConvLSTM2DCell",Rg(aR);var iR=function(e){je(n,e);var t=Ye(n);function n(e){M(this,n);var r=new aR(e);return t.call(this,Object.assign(Object.assign({},e),{cell:r}))}return P(n,null,[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(rR);iR.className="ConvLSTM2D",Rg(iR);var oR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).rate=Math.max(Math.min(e.rate,1),0),r.noiseShape=e.noiseShape,r.seed=e.seed,r.supportsMasking=!0,r}return P(n,[{key:"getNoiseShape",value:function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n}},{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t);var r=qT(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return wT((function(){return xT(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))}},{key:"getConfig",value:function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"dispose",value:function(){return zE(Ke(n.prototype),"dispose",this).call(this)}}]),n}(iE);oR.className="Dropout",Rg(oR);var sR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).inputSpec=[{ndim:3}],r}return P(n,[{key:"getNoiseShape",value:function(e){var t=e.shape;return[t[0],1,t[2]]}}]),n}(oR);sR.className="SpatialDropout1D",Rg(sR);var uR=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),(r=t.call(this,e)).activation=null,r.useBias=!0,r.kernel=null,r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var a=null;null!=e.batchSize&&(a=e.batchSize),r.batchInputShape=[a,e.inputDim]}return r.units=e.units,FI(r.units,"units"),r.activation=c_(e.activation),null!=e.useBias&&(r.useBias=e.useBias),r.kernelInitializer=HT(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=HT(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=IE(e.kernelConstraint),r.biasConstraint=IE(e.biasConstraint),r.kernelRegularizer=m_(e.kernelRegularizer),r.biasRegularizer=m_(e.biasRegularizer),r.activityRegularizer=m_(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return P(n,[{key:"build",value:function(e){var t=(e=XT(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:S_({},-1,t)}],this.built=!0}},{key:"computeOutputShape",value:function(e){var t=(e=XT(e)).slice();return t[t.length-1]=this.units,t}},{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t);var r,a=qT(e),i=OI(n.activation.getClassName());return null!=i?r=mT(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=mT(a,n.kernel.read()),null!=n.bias&&(r=kT(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))}},{key:"getConfig",value:function(){var e={units:this.units,activation:s_(this.activation),useBias:this.useBias,kernelInitializer:GT(this.kernelInitializer),biasInitializer:GT(this.biasInitializer),kernelRegularizer:f_(this.kernelRegularizer),biasRegularizer:f_(this.biasRegularizer),activityRegularizer:f_(this.activityRegularizer),kernelConstraint:SE(this.kernelConstraint),biasConstraint:SE(this.biasConstraint)},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);uR.className="Dense",Rg(uR);var cR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),e=e||{},(r=t.call(this,e)).inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return P(n,[{key:"computeOutputShape",value:function(e){var t,n=O((e=XT(e)).slice(1));try{for(n.s();!(t=n.n()).done;){if(null==t.value)throw new pI('The shape of the input to "Flatten" is not fully defined '+"(got ".concat(e.slice(1),"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}}catch(iX){n.e(iX)}finally{n.f()}return[e[0],nT(e,1)]}},{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t);var r=qT(e);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=Ik(r,a)}return function(e){if(e.rank<=1)throw new pI("batchFlatten requires a minimum rank of 2. Got rank: ".concat(e.rank,"."));var t=[e.shape[0],nT(e.shape,1)];return Hy(e,t)}(r)}))}},{key:"getConfig",value:function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);cR.className="Flatten",Rg(cR);var lR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).supportsMasking=!0,r.activation=c_(e.activation),r}return P(n,[{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t);var r=qT(e);return n.activation.apply(r)}))}},{key:"getConfig",value:function(){var e={activation:s_(this.activation)},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);lR.className="Activation",Rg(lR);var hR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).n=e.n,r.inputSpec=[{ndim:2}],r}return P(n,[{key:"computeOutputShape",value:function(e){return[e[0],this.n,e[1]]}},{key:"call",value:function(e,t){var n=this;return dg((function(){return e=qT(e),t=e,r=n.n,dg((function(){if(2!==t.shape.length)throw new pI("repeat() expects a rank-2 tensor, but received a "+"rank-".concat(t.shape.length," tensor."));return fT(uT(t,1),[1,r,1])}));var t,r}))}},{key:"getConfig",value:function(){var e={n:this.n},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);hR.className="RepeatVector",Rg(hR);var pR=function(e){je(n,e);var t=Ye(n);function n(e){var r;M(this,n),(r=t.call(this,e)).targetShape=e.targetShape;for(var a=0;a<r.targetShape.length;++a)r.isUnknown(r.targetShape[a])&&(r.targetShape[a]=null);return r}return P(n,[{key:"isUnknown",value:function(e){return e<0||null==e}},{key:"fixUnknownDimension",value:function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new pI("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=nT(e);if(null!==i){if(0===a||u%a!==0)throw new pI(n);r[i]=u/a}else if(u!==a)throw new pI(n);return r}},{key:"computeOutputShape",value:function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))}},{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t);var r=qT(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return Hy(r,i)}))}},{key:"getConfig",value:function(){var e={targetShape:this.targetShape},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);pR.className="Reshape",Rg(pR);var dR=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),r=t.call(this,e),null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+"".concat(e.dims," instead."));var a=iT(1,e.dims.length+1);if(!Ll(e.dims.slice().sort(),a))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return r.dims=e.dims,r.dimsIncludingBatch=[0].concat(r.dims),r.inputSpec=[new eE({ndim:r.dims.length+1})],r}return P(n,[{key:"computeOutputShape",value:function(e){var t=(e=XT(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t}},{key:"call",value:function(e,t){return Ik(qT(e),this.dimsIncludingBatch)}},{key:"getConfig",value:function(){var e={dims:this.dims},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);dR.className="Permute",Rg(dR);var fR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,r.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,r}return P(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t={maskValue:this.maskValue};return Object.assign(t,e),t}},{key:"computeMask",value:function(e,t){var n=qT(e);return Ey(jb(n,this.maskValue),-1)}},{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t);var r=qT(e),a=Ey(jb(r,n.maskValue),-1,!0);return kg(r,ug(a,r.dtype))}))}}]),n}(iE);fR.className="Masking",Rg(fR);var vR=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),(r=t.call(this,e)).embeddings=null,r.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var a=null;null!=e.batchSize&&(a=e.batchSize),null==e.inputLength?r.batchInputShape=[a,null]:r.batchInputShape=[a].concat(kI(e.inputLength))}return r.inputDim=e.inputDim,FI(r.inputDim,"inputDim"),r.outputDim=e.outputDim,FI(r.outputDim,"outputDim"),r.embeddingsInitializer=HT(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=m_(e.embeddingsRegularizer),r.activityRegularizer=m_(e.activityRegularizer),r.embeddingsConstraint=IE(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return P(n,[{key:"build",value:function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}},{key:"warnOnIncompatibleInputShape",value:function(e){}},{key:"computeMask",value:function(e,t){var n=this;return dg((function(){return n.maskZero?(e=qT(e),jb(e,Sg(e))):null}))}},{key:"computeOutputShape",value:function(e){if(e=XT(e),null==this.inputLength)return[].concat(_(e),[this.outputDim]);var t=kI(this.inputLength);if(t.length!==e.length-1)throw new pI('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new pI('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));null==a&&(t[n]=i),n++}return[e[0]].concat(_(t),[this.outputDim])}},{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t);var r=qT(e);"int32"!==r.dtype&&(r=sT(r,"int32"));var a=gT(n.embeddings.read(),Hy(r,[r.size]));return Hy(a,XT(n.computeOutputShape(r.shape)))}))}},{key:"getConfig",value:function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:GT(this.embeddingsInitializer),embeddingsRegularizer:f_(this.embeddingsRegularizer),activityRegularizer:f_(this.activityRegularizer),embeddingsConstraint:SE(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);vR.className="Embedding",Rg(vR);var mR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e||{})).supportsMasking=!0,r}return P(n,[{key:"mergeFunction",value:function(e){throw new dI}},{key:"computeElementwiseOpOutputShape",value:function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new pI("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n}},{key:"build",value:function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[XT(e)]),e.length<2)throw new pI("A merge layer should be called on an Array of at least 2 inputs."+" Got ".concat(e.length," input(s)."));var t,n=[],r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}}catch(iX){r.e(iX)}finally{r.f()}if((n=CI(n)).length>1)throw new pI("Can not merge tensors with different batch sizes. "+"Got tensors with shapes: ".concat(JSON.stringify(e),"."));for(var i=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var s=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===CI(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){if(n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){var a,i=aT(r),o=O(e);try{for(o.s();!(a=o.n()).done;){for(var s=a.value,u=s.rank,c=0;c<i-u;++c)s=uT(s,1);t.push(s)}}catch(iX){o.e(iX)}finally{o.f()}return n.mergeFunction(t)}var l,h=!1,p=O(e);try{for(p.s();!(l=p.n()).done;){var d=l.value,f=d.rank;if(null==f){var v=d.shape,m=v[0],g=v.slice(1).concat([m]),y=Hy(d,[m].concat(nT(v.slice(1))));y=Ik(y,[1,0]),y=Hy(y,g),t.push(y),h=!0}else if(f>1){var b=iT(1,f).concat([0]);t.push(Ik(d,b)),h=!0}else t.push(d)}}catch(iX){p.e(iX)}finally{p.f()}var k=n.mergeFunction(t),x=k.rank;if(h)if(null==x){var w=k.shape,S=w[w.length-1],N=[S].concat(w.slice(0,w.length-1));k=Hy(Ik(Hy(k,[-1,S]),[1,0]),N)}else if(x>1){var I=[x-1].concat(iT(0,x-1));k=Ik(k,I)}return k}return n.mergeFunction(e)}))}},{key:"computeOutputShape",value:function(e){var t;t=null==e[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}var a,i=[],o=O(e);try{for(o.s();!(a=o.n()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}}catch(iX){o.e(iX)}finally{o.f()}return t=1===(i=CI(i)).length?i.concat(t):[null].concat(t)}},{key:"computeMask",value:function(e,t){return dg((function(){if(null==t)return null;if(!Array.isArray(t))throw new pI("`mask` should be an Array");if(!Array.isArray(e))throw new pI("`inputs` should be an Array");if(t.length!==e.length)throw new pI("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths "+"(".concat(e.length," vs ").concat(t.length,")"));if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:mb(e,0)})))[0],r=1;r<t.length-1;++r)n=_b(n,t[r]);return n}))}}]),n}(iE),gR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"mergeFunction",value:function(e){return dg((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=gg(t,e[n]);return t}))}}]),n}(mR);gR.className="Add",Rg(gR);var yR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"mergeFunction",value:function(e){return dg((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=kg(t,e[n]);return t}))}}]),n}(mR);yR.className="Multiply",Rg(yR);var bR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"mergeFunction",value:function(e){return dg((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=gg(t,e[n]);return kg(1/e.length,t)}))}}]),n}(mR);bR.className="Average",Rg(bR);var kR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"mergeFunction",value:function(e){return dg((function(){for(var t=e[0],n=1;n<e.length;++n)t=Vg(t,e[n]);return t}))}}]),n}(mR);kR.className="Maximum",Rg(kR);var xR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"mergeFunction",value:function(e){return dg((function(){for(var t=e[0],n=1;n<e.length;++n)t=Mb(t,e[n]);return t}))}}]),n}(mR);xR.className="Minimum",Rg(xR);var wR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).DEFAULT_AXIS=-1,null==e&&(e={}),r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r.supportsMasking=!0,r.reshapeRequired=!1,r}return P(n,[{key:"build",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new pI("A `Concatenate` layer should be called on a list of at least 2 inputs");var t,n=!0,r=O(e);try{for(r.s();!(t=r.n()).done;){if(null!=t.value){n=!1;break}}}catch(iX){r.e(iX)}finally{r.f()}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);var s,u=!1,c=O(a);try{for(c.s();!(s=c.n()).done;){if(Ll(s.value,o)){u=!0;break}}}catch(iX){c.e(iX)}finally{c.f()}u||a.push(o)}if(a.length>1)throw new pI("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}}},{key:"mergeFunction",value:function(e){var t=this;return dg((function(){return pT(e,t.axis)}))}},{key:"computeOutputShape",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new pI("A `Concatenate` layer should be called on a list of inputs.");var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=O(n.slice(1));try{for(i.s();!(t=i.n()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}}catch(iX){i.e(iX)}finally{i.f()}return r}},{key:"computeMask",value:function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new pI("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new pI("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new pI("Mismatch in the length of mask (".concat(t.length,") ")+"and the legnth of inputs (".concat(e.length,")"));return dg((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(ug(Yb(e[i]),"bool")):t[i].rank<e[i].rank?a.push(mb(t[i],-1)):a.push(t[i]);var o=$y(a,n.axis);return Ty(o,-1,!1)}))}},{key:"getConfig",value:function(){var e={axis:this.axis},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(mR);function SR(e,t){for(;e<0;)e+=t;return e}wR.className="Concatenate",Rg(wR);var NR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).axes=e.axes,r.normalize=null!=e.normalize&&e.normalize,r.supportsMasking=!0,r.reshapeRequired=!1,r}return P(n,[{key:"build",value:function(e){Fl(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new dI("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new pI("Dimension incompatibility: "+"".concat(t[r[0]]," !== ").concat(n[r[1]]))}},{key:"mergeFunction",value:function(e){if(2!==e.length)throw new pI("A `Dot` layer must be called on exactly 2 inputs, "+"but received ".concat(e.length," input(s)."));var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map((function(t,n){return SR(t,e[n].shape.length)})):[SR(this.axes,n.shape.length),SR(this.axes,r.shape.length)],this.normalize&&(n=BE(n,t[0]),r=BE(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new dI("batchDot is not implemented for tensors of 4D or higher rank yet");if(Fl(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, "+"but got ".concat(e.shape.length)})),Fl(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, "+"but got ".concat(t.shape.length)})),"number"===typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new dI("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return dg((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=Hy(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var c=[],l=0;l<n;++l)c.push(1);e=Hy(e,e.shape.concat(c))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?Eb(kg(e,t),i[0]):Eb(kg(Ik(e,[1,0]),t),i[1]);else{var h=i[0]!==e.shape.length-1,p=i[1]===t.shape.length-1;o=Rb(e,t,h,p)}if(n>0){for(var d,f=[],v=d=r>a?r+a-3:r-1;v<d+n;++v)f.push(v);o=mk(o,f)}return 1===o.shape.length&&(o=mb(o,1)),o}))}(n,r,t)}},{key:"interpretAxes",value:function(e,t){return Array.isArray(this.axes)?this.axes:[SR(this.axes,e.length),SR(this.axes,t.length)]}},{key:"computeOutputShape",value:function(e){Fl(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new dI("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a}},{key:"computeMask",value:function(e,t){return null}},{key:"getConfig",value:function(){var e={axes:this.axes,normalize:this.normalize},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(mR);NR.className="Dot",Rg(NR);var IR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).supportsMasking=!0,r.stddev=e.stddev,r}return P(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t={stddev:this.stddev};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t);var r=qT(e);return wT((function(){return gg(vT(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))}}]),n}(iE);IR.className="GaussianNoise",Rg(IR);var TR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r}return P(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t);var r=qT(e);if(n.rate>0&&n.rate<1){return wT((function(){var e=Math.sqrt(n.rate/(1-n.rate));return kg(r,vT(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))}}]),n}(iE);TR.className="GaussianDropout",Rg(TR);var ER=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return P(n,[{key:"_getNoiseShape",value:function(e){return this.noiseShape||qT(e).shape}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=zE(Ke(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return dg((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return wT((function(){var t=qT(e),a=-1.7580993408473766,i=wb(tk(r),n.rate);i=sT(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=gg(kg(t,i),kg(gg(i,-1),a));return gg(kg(u,o),s)}),(function(){return qT(e)}),t.training||!1)}return e}))}}]),n}(iE);function CR(e,t,n,r,a){var i,o=arguments.length>5&&void 0!==arguments[5]?arguments[5]:.001;if(2===e.rank)i=Xy(e,t,n,r,a,o);else if(3===e.rank)i=Yy(e,t,n,r,a,o);else{if(4!==e.rank)throw new dI("batchNormalization is not implemented for array of rank ".concat(e.rank," ")+"yet");i=Qy(e,t,n,r,a,o)}return i}function _R(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return Ll(r.slice().sort(),iT(0,e.rank-1))?function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return dg((function(){var i=Gb(e,r),o=i.mean,s=i.variance;return[CR(e,o,s,n,t,a),o,s]}))}(e,t,n,r,a):function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return dg((function(){var i,o=Gb(e,r),s=o.mean,u=o.variance,c=[],l=O(iT(0,e.rank));try{for(l.s();!(i=l.n()).done;){var h=i.value;-1!==r.indexOf(h)?c.push(1):c.push(e.shape[h])}}catch(iX){l.e(iX)}finally{l.f()}var p=Hy(s,c),d=Hy(u,c),f=null==t?null:Hy(t,c),v=null==n?null:Hy(n,c);return[CR(e,p,d,v,f,a),s,u]}))}(e,t,n,r,a)}ER.className="AlphaDropout",Rg(ER);var RR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),null==e&&(e={}),(r=t.call(this,e)).supportsMasking=!0,r.axis=null==e.axis?-1:e.axis,r.momentum=null==e.momentum?.99:e.momentum,r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=HT(e.betaInitializer||"zeros"),r.gammaInitializer=HT(e.gammaInitializer||"ones"),r.movingMeanInitializer=HT(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=HT(e.movingVarianceInitializer||"ones"),r.betaConstraint=IE(e.betaConstraint),r.gammaConstraint=IE(e.gammaConstraint),r.betaRegularizer=m_(e.betaRegularizer),r.gammaRegularizer=m_(e.gammaRegularizer),r}return P(n,[{key:"build",value:function(e){e=XT(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new pI("Axis ".concat(t," of input tensor should have a defined dimension but ")+"the layer received an input with shape "+"".concat(JSON.stringify(e),"."));this.inputSpec=[new eE({ndim:e.length,axes:S_({},t,n)})];var r=[n];this.scale&&(this.gamma=this.addWeight("gamma",r,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",r,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",r,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",r,null,this.movingVarianceInitializer,null,!1),this.built=!0}},{key:"call",value:function(e,t){var n=this;return dg((function(){var r=null!=t.training&&t.training,a=qT(e),i=a.shape,o=i.length,s=iT(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var c=mI(1,o);c[u]=i[u];var l=s.slice();l.sort();var h=!Ll(l,iT(0,o).slice(0,o-1));if(!r)return function(){if(h){var e=Hy(n.movingMean.read(),c),t=Hy(n.movingVariance.read(),c),r=n.center?Hy(n.beta.read(),c):null,i=n.scale?Hy(n.gamma.read(),c):null;return CR(a,e,t,r,i,n.epsilon)}return CR(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var p=C(_R(a,n.gamma.read(),n.beta.read(),s,n.epsilon),3),d=p[0],f=p[1],v=p[2],m=function(e,t,n){dg((function(){var r=1-n,a=e.read(),i=kg(Lg(a,t),r);e.write(Lg(a,i))}))};return m(n.movingMean,f,n.momentum),m(n.movingVariance,v,n.momentum),d}))}},{key:"getConfig",value:function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:GT(this.betaInitializer),gammaInitializer:GT(this.gammaInitializer),movingMeanInitializer:GT(this.movingMeanInitializer),movingVarianceInitializer:GT(this.movingVarianceInitializer),betaRegularizer:f_(this.betaRegularizer),gammaRegularizer:f_(this.gammaRegularizer),betaConstraint:SE(this.betaConstraint),gammaConstraint:SE(this.gammaConstraint)},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);RR.className="BatchNormalization",Rg(RR);var AR=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),null==e&&(e={}),(r=t.call(this,e)).axis=null==e.axis?-1:e.axis,"number"===typeof r.axis){if(!Number.isInteger(r.axis))throw new Error("Expected axis to be an integer, but received ".concat(r.axis))}else{if(!Array.isArray(r.axis))throw new Error("Expected axis to be an integer or an array of integers, "+"but received ".concat(JSON.stringify(r.axis)));var a,i=O(r.axis);try{for(i.s();!(a=i.n()).done;){var o=a.value;if(!Number.isInteger(o))throw new Error("Expected axis to be an array of integers, "+"but received ".concat(JSON.stringify(r.axis)))}}catch(iX){i.e(iX)}finally{i.f()}}return r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=HT(e.betaInitializer||"zeros"),r.gammaInitializer=HT(e.gammaInitializer||"ones"),r.betaRegularizer=m_(e.betaRegularizer),r.gammaRegularizer=m_(e.gammaRegularizer),r.supportsMasking=!0,r}return P(n,[{key:"build",value:function(e){var t=(e=XT(e)).length;"number"===typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=t);var r,a=O(this.axis);try{for(a.s();!(r=a.n()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: ".concat(i))}}catch(iX){a.e(iX)}finally{a.f()}if(this.axis.length!==CI(this.axis).length)throw new Error("Found duplicate axes in: ".concat(this.axis));var o=this.axis.map((function(t){return e[t]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,true):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,true):this.beta=null,this.built=!0}},{key:"call",value:function(e,t){var n=this,r=qT(e),a=r.shape,i=a.length;return dg((function(){var e,t=Gb(r,n.axis,!0),o=t.mean,s=t.variance,u=mI(1,i),c=O(n.axis);try{for(c.s();!(e=c.n()).done;){var l=e.value;u[l]=a[l]}}catch(iX){c.e(iX)}finally{c.f()}for(var h=function(e){return null!=e&&e.shape.length!==i?Hy(e,u):e},p=n.scale?h(n.gamma.read()):null,d=n.center?h(n.beta.read()):null,f=[],v=[],m=0;m<i;++m)-1!==n.axis.indexOf(m)?(f.push(a[m]),v.push(1)):(f.push(1),v.push(a[m]));return o=gb(o,f),s=gb(s,f),null!=p&&(p=gb(p,v)),null!=d&&(d=gb(d,v)),CR(r,o,s,d,p,n.epsilon)}))}},{key:"getConfig",value:function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:GT(this.betaInitializer),gammaInitializer:GT(this.gammaInitializer),betaRegularizer:f_(this.betaRegularizer),gammaRegularizer:f_(this.gammaRegularizer)},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);AR.className="LayerNormalization",Rg(AR);var FR=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),null==e&&(e={}),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)r.padding=[[1,1],[1,1]];else if("number"===typeof e.padding)r.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new pI("ZeroPadding2D expects padding to be a length-2 array, but "+"received a length-".concat(e.padding.length," array."));var a,i;if("number"===typeof e.padding[0])a=[e.padding[0],e.padding[0]],i=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new pI("ZeroPadding2D expects height padding to be a length-2 array, "+"but received a length-".concat(e.padding[0].length," array."));if(a=e.padding[0],2!==e.padding[1].length)throw new pI("ZeroPadding2D expects width padding to be a length-2 array, "+"but received a length-".concat(e.padding[1].length," array."));i=e.padding[1]}r.padding=[a,i]}return r.inputSpec=[new eE({ndim:4})],r}return P(n,[{key:"computeOutputShape",value:function(e){var t,n;return e=XT(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])}},{key:"call",value:function(e,t){var n=this;return dg((function(){return t=qT(e),r=n.padding,a=n.dataFormat,dg((function(){if(4!==t.rank)throw new pI("temporalPadding expects input tensor to be 4-D, but received a "+"".concat(t.rank,"-D tensor."));if(null==r&&(r=[[1,1],[1,1]]),2!==r.length||2!==r[0].length||2!==r[1].length)throw new pI("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==a&&(a="channelsLast"),"channelsLast"!==a&&"channelsFirst"!==a)throw new pI("Unknown data format: ".concat(a,". ")+"Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],Qb(t,e)}));var t,r,a}))}},{key:"getConfig",value:function(){var e={padding:this.padding,dataFormat:this.dataFormat},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);function DR(e,t,n,r,a,i){return dg((function(){var o;jI(a),qI(i),KI(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=E_(e,a);var s="same"===r?"same":"valid";return o="max"===i?Ab(e,t,n,s):jy(e,t,n,s),"channelsFirst"===a&&(o=Ik(o,[0,3,1,2])),o}))}function OR(e,t,n,r,a,i){return dg((function(){var o;jI(a),qI(i),KI(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=C_(e,a);var s="same"===r?"same":"valid";return o="max"===i?Fb(e,t,n,s):Ky(e,t,n,s),"channelsFirst"===a&&(o=Ik(o,[0,4,1,2,3])),o}))}FR.className="ZeroPadding2D",Rg(FR);var MR=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),null==e.poolSize&&(e.poolSize=2),r=t.call(this,e),"number"===typeof e.poolSize)r.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!==typeof e.poolSize[0])throw new pI("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.poolSize)));r.poolSize=e.poolSize}if(FI(r.poolSize,"poolSize"),null==e.strides)r.strides=r.poolSize;else if("number"===typeof e.strides)r.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!==typeof e.strides[0])throw new pI("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.strides)));r.strides=e.strides}return FI(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,KI(r.padding),r.inputSpec=[new eE({ndim:3})],r}return P(n,[{key:"computeOutputShape",value:function(e){var t=I_((e=XT(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}},{key:"call",value:function(e,t){var n=this;return dg((function(){n.invokeCallHook(e,t),e=uT(qT(e),2);var r=n.poolingFunction(qT(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return mk(r,[2])}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE),LR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jI(a),KI(r),DR(e,t,n,r,a,"max")}}]),n}(MR);LR.className="MaxPooling1D",Rg(LR);var zR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jI(a),KI(r),DR(e,t,n,r,a,"avg")}}]),n}(MR);zR.className="AveragePooling1D",Rg(zR);var PR=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),null==e.poolSize&&(e.poolSize=[2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new pI("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides];return FI(r.poolSize,"poolSize"),FI(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jI(r.dataFormat),KI(r.padding),r.inputSpec=[new eE({ndim:4})],r}return P(n,[{key:"computeOutputShape",value:function(e){e=XT(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=I_(t,this.poolSize[0],this.padding,this.strides[0]),n=I_(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}},{key:"call",value:function(e,t){var n=this;return dg((function(){return n.invokeCallHook(e,t),n.poolingFunction(qT(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE),BR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jI(a),KI(r),DR(e,t,n,r,a,"max")}}]),n}(PR);BR.className="MaxPooling2D",Rg(BR);var WR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jI(a),KI(r),DR(e,t,n,r,a,"avg")}}]),n}(PR);WR.className="AveragePooling2D",Rg(WR);var UR=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),null==e.poolSize&&(e.poolSize=[2,2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new pI("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides,e.strides];return FI(r.poolSize,"poolSize"),FI(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jI(r.dataFormat),KI(r.padding),r.inputSpec=[new eE({ndim:5})],r}return P(n,[{key:"computeOutputShape",value:function(e){e=XT(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=I_(t,this.poolSize[0],this.padding,this.strides[0]),n=I_(n,this.poolSize[1],this.padding,this.strides[1]),r=I_(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]}},{key:"call",value:function(e,t){var n=this;return dg((function(){return n.invokeCallHook(e,t),n.poolingFunction(qT(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE),VR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jI(a),KI(r),OR(e,t,n,r,a,"max")}}]),n}(UR);VR.className="MaxPooling3D",Rg(VR);var GR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e)}return P(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return jI(a),KI(r),OR(e,t,n,r,a,"avg")}}]),n}(UR);GR.className="AveragePooling3D",Rg(GR);var HR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).inputSpec=[new eE({ndim:3})],r}return P(n,[{key:"computeOutputShape",value:function(e){return[e[0],e[2]]}},{key:"call",value:function(e,t){throw new dI}}]),n}(iE),jR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e||{})}return P(n,[{key:"call",value:function(e,t){return dg((function(){var t=qT(e);return Db(t,1)}))}}]),n}(HR);jR.className="GlobalAveragePooling1D",Rg(jR);var KR=function(e){je(n,e);var t=Ye(n);function n(e){return M(this,n),t.call(this,e||{})}return P(n,[{key:"call",value:function(e,t){return dg((function(){var t=qT(e);return Tb(t,1)}))}}]),n}(HR);KR.className="GlobalMaxPooling1D",Rg(KR);var qR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,jI(r.dataFormat),r.inputSpec=[new eE({ndim:4})],r}return P(n,[{key:"computeOutputShape",value:function(e){return"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]}},{key:"call",value:function(e,t){throw new dI}},{key:"getConfig",value:function(){var e={dataFormat:this.dataFormat},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE),XR=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"call",value:function(e,t){var n=this;return dg((function(){var t=qT(e);return"channelsLast"===n.dataFormat?Db(t,[1,2]):Db(t,[2,3])}))}}]),n}(qR);XR.className="GlobalAveragePooling2D",Rg(XR);var YR=function(e){je(n,e);var t=Ye(n);function n(){return M(this,n),t.apply(this,arguments)}return P(n,[{key:"call",value:function(e,t){var n=this;return dg((function(){var t=qT(e);return"channelsLast"===n.dataFormat?Tb(t,[1,2]):Tb(t,[2,3])}))}}]),n}(qR);YR.className="GlobalMaxPooling2D",Rg(YR);var QR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).layer=e.layer,r}return P(n,[{key:"build",value:function(e){this.built=!0}},{key:"trainable",get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)}},{key:"trainableWeights",get:function(){return this.layer.trainableWeights}},{key:"nonTrainableWeights",get:function(){return this.layer.nonTrainableWeights}},{key:"updates",get:function(){return this.layer._updates}},{key:"losses",get:function(){return this.layer.losses}},{key:"getWeights",value:function(){return this.layer.getWeights()}},{key:"setWeights",value:function(e){this.layer.setWeights(e)}},{key:"getConfig",value:function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"setFastWeightInitDuringBuild",value:function(e){zE(Ke(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=PE(t.layer,n);delete t.layer;var a={layer:r};return Object.assign(a,t),new e(a)}}]),n}(iE),JR=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).supportsMasking=!0,r}return P(n,[{key:"build",value:function(e){if((e=XT(e)).length<3)throw new pI("TimeDistributed layer expects an input shape >= 3D, but received "+"input shape ".concat(JSON.stringify(e)));this.inputSpec=[{shape:e}];var t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),zE(Ke(n.prototype),"build",this).call(this,e)}},{key:"computeOutputShape",value:function(e){var t=[(e=XT(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))}},{key:"call",value:function(e,t){var n=this;return dg((function(){return j_((function(e,r){return[qT(n.layer.call(e,t)),[]]}),e=qT(e),[],!1,null,null,!1,!0)[1]}))}}]),n}(QR);JR.className="TimeDistributed",Rg(JR);var ZR=function(e){je(n,e);var t=Ye(n);function n(e){var r;M(this,n),r=t.call(this,e);var a=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=a,r.forwardLayer=PE(i),a.goBackwards=!0!==a.goBackwards;var o,s={};if(s.className=e.layer.getClassName(),s.config=a,r.backwardLayer=PE(s),r.forwardLayer.name="forward_"+r.forwardLayer.name,r.backwardLayer.name="backward_"+r.backwardLayer.name,r.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,o=r.mergeMode,RI(GI,"BidirectionalMergeMode",o),e.weights)throw new dI("weights support is not implemented for Bidirectional layer yet.");return r._stateful=e.layer.stateful,r.returnSequences=e.layer.returnSequences,r.returnState=e.layer.returnState,r.supportsMasking=!0,r._trainable=!0,r.inputSpec=e.layer.inputSpec,r.numConstants=null,r}return P(n,[{key:"trainable",get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}},{key:"getWeights",value:function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}},{key:"setWeights",value:function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),this.returnState?(r=a.slice(1),t=a[0]):t=a[0],"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):bI(n)}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=H_(e,r,a,this.numConstants);if(e=i.inputs,r=i.initialState,a=i.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==a)return zE(Ke(n.prototype),"apply",this).call(this,e,t);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new pI("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=r,o.push.apply(o,_(r));var c=r.map((function(e){return new eE({shape:e.shape})}));this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),s.push.apply(s,_(c))}if(null!=a)throw new dI("Support for constants in Bidirectional layers is not implemented yet.");for(var l=o[0]instanceof tE,h=0,p=o;h<p.length;h++){if(p[h]instanceof tE!==l)throw new pI("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(l){var d=[e].concat(o),f=this.inputSpec.concat(s),v=this.inputSpec;this.inputSpec=f;var m=zE(Ke(n.prototype),"apply",this).call(this,d,t);return this.inputSpec=v,m}return zE(Ke(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return dg((function(){var r,a,i,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),a=n.backwardLayer.call(e,t);else{var u=s.slice(0,s.length/2),c=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:u})),a=n.backwardLayer.call(e,Object.assign(t,{initialState:c}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=ak(a,1)),"concat"===n.mergeMode?o=pT([r,a]):"sum"===n.mergeMode?o=gg(r,a):"ave"===n.mergeMode?o=kg(.5,gg(r,a)):"mul"===n.mergeMode?o=kg(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))}},{key:"resetStates",value:function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}},{key:"build",value:function(e){var t=this;QI(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),QI(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0}},{key:"computeMask",value:function(e,t){var n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){var r=this.forwardLayer.states.map((function(e){return null}));return Array.isArray(n)?n.concat(r).concat(r):[n].concat(r).concat(r)}return n}},{key:"trainableWeights",get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}},{key:"nonTrainableWeights",get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}},{key:"setFastWeightInitDuringBuild",value:function(e){zE(Ke(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(e),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e={mergeMode:this.mergeMode},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"fromConfig",value:function(e,t){var n=PE(t.layer);if(delete t.layer,null!=t.numConstants)throw new dI("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)}}]),n}(QR);ZR.className="Bidirectional",Rg(ZR);var $R=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).scale=e.scale,e.offset?r.offset=e.offset:r.offset=0,r}return P(n,[{key:"getConfig",value:function(){var e={scale:this.scale,offset:this.offset},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return dg((function(){return"float32"!==(e=qT(e)).dtype&&(e=sT(e,"float32")),gg(kg(e,n.scale),n.offset)}))}}]),n}(iE);$R.className="Rescaling",Rg($R);var eA=Fx.resizeBilinear,tA=Fx.cropAndResize,nA=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,r}return P(n,[{key:"centerCrop",value:function(e,t,n,r,a,i,o,s){return dg((function(){var u,c=!1,l=[t/i,n/o,(r+t)/i,(a+n)/o],h=[];3===e.rank?(c=!0,u=gk([e])):u=e;for(var p=0;p<u.shape[0];p++)h.push(l);var d=Jv(h,[h.length,4]),f=nk(0,h.length,1,"int32"),v=tA(u,d,f,[r,a],"nearest");return sT(c?qT(xk(v)):v,s)}))}},{key:"upsize",value:function(e,t,n,r){return dg((function(){return sT(eA(e,[t,n]),r)}))}},{key:"call",value:function(e,t){var n=this;return dg((function(){var t=qT(e),r=t.dtype,a=t.shape,i=a[a.length-3],o=a[a.length-2],s=0;i!==n.height&&(s=Math.floor((i-n.height)/2));var u=0;return o!==n.width&&0===(u=Math.floor((o-n.width)/2))&&(u=1),s>=0&&u>=0?n.centerCrop(t,s,u,n.height,n.width,i,o,r):n.upsize(e,n.height,n.width,r)}))}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=XT(e)).length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}}]),n}(iE);nA.className="CenterCrop",Rg(nA);var rA=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).numTokens=e.numTokens,e.outputMode?r.outputMode=e.outputMode:r.outputMode="multiHot",r}return P(n,[{key:"getConfig",value:function(){var e={numTokens:this.numTokens,outputMode:this.outputMode},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){return null==(e=XT(e))?[this.numTokens]:"oneHot"===this.outputMode&&1!==e[e.length-1]?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}},{key:"call",value:function(e,t){var n=this;return dg((function(){var r;if("int32"!==(e=qT(e)).dtype&&(e=sT(e,"int32")),"undefined"!==typeof t.countWeights){if("count"!==n.outputMode)throw new pI("countWeights is not used when outputMode !== count.\n              Received countWeights=".concat(t.countWeights));r=qT(t.countWeights)}var a=Tb(e),i=Ob(e),o=xb(n.numTokens,a).bufferSync().get(0),s=wb(i,0).bufferSync().get(0);if(!o||!s)throw new pI("Input values must be between 0 < values <="+" numTokens with numTokens=".concat(n.numTokens));return function(e,t,n,r){var a=qT(e);if("int32"!==a.dtype&&(a=sT(a,"int32")),"int"===t)return a;var i=a.shape;if(0===a.rank&&(a=mb(a,-1)),"oneHot"===t&&1!==a.shape[a.shape.length-1]&&(a=mb(a,-1)),a.rank>2)throw new pI("When outputMode is not int, maximum output rank is 2"+" Received outputMode ".concat(t," and input shape ").concat(i)+" which would result in output rank ".concat(a.rank,"."));var o,s=["multiHot","oneHot"].includes(t),u=a;if(o=hb(u,"undefined"!==typeof r&&"count"===t?r:[],n,s),"tfIdf"!==t)return o;if(r)return kg(o,r);throw new pI("When outputMode is 'tfIdf', weights must be provided.")}(e,n.outputMode,n.numTokens,r)}))}}]),n}(iE);rA.className="CategoryEncoding",Rg(rA);var aA=new Set(["bilinear","nearest"]),iA=function(e){je(n,e);var t=Ye(n);function n(e){var r;if(M(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,e.interpolation){if(!aA.has(e.interpolation))throw new pI("Invalid interpolation parameter: ".concat(e.interpolation," is not implemented"));r.interpolation=e.interpolation}else r.interpolation="bilinear";return r.cropToAspectRatio=Boolean(e.cropToAspectRatio),r}return P(n,[{key:"computeOutputShape",value:function(e){var t=(e=XT(e))[2];return[this.height,this.width,t]}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return dg((function(){var t=[n.height,n.width];if("bilinear"===n.interpolation)return Fx.resizeBilinear(e,t,!n.cropToAspectRatio);if("nearest"===n.interpolation)return Fx.resizeNearestNeighbor(e,t,!n.cropToAspectRatio);throw new Error("Interpolation is ".concat(n.interpolation," but only ").concat(_(aA)," are supported"))}))}}]),n}(iE);iA.className="Resizing",Rg(iA);var oA=function(){function e(t){M(this,e),this.seed=t}return P(e,[{key:"next",value:function(){if(void 0!==this.seed)return this.seed++}}]),e}();oA.className="RandomSeed";var sA=function(e){je(n,e);var t=Ye(n);function n(e){var r;return M(this,n),(r=t.call(this,e)).randomGenerator=new oA(e.seed),r}return P(n,[{key:"getConfig",value:function(){var e={seed:this.randomGenerator.seed},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(iE);sA.className="BaseRandomLayer";var uA=new Set(["bilinear","nearest"]),cA=function(e){je(n,e);var t=Ye(n);function n(e){var r;M(this,n),r=t.call(this,e);var a=e.factor,i=e.interpolation,o=void 0===i?"bilinear":i;if(r.factor=a,Array.isArray(r.factor)&&2===r.factor.length)r.widthLower=r.factor[0],r.widthUpper=r.factor[1];else{if(Array.isArray(r.factor)||!(r.factor>0))throw new pI("Invalid factor: ".concat(r.factor,". Must be positive number or tuple of 2 numbers"));r.widthLower=-r.factor,r.widthUpper=r.factor}if(r.widthLower<-1||r.widthUpper<-1)throw new pI("factor must have values larger than -1. Got: ".concat(r.factor));if(r.widthUpper<r.widthLower)throw new pI("factor cannot have upper bound less than lower bound.\n        Got upper bound: ".concat(r.widthUpper,".\n        Got lower bound: ").concat(r.widthLower,"\n      "));if(o){if(!uA.has(o))throw new pI("Invalid interpolation parameter: ".concat(o," is not implemented"));r.interpolation=o}return r}return P(n,[{key:"getConfig",value:function(){var e={factor:this.factor,interpolation:this.interpolation},t=zE(Ke(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=XT(e))[2];return[this.imgHeight,-1,t]}},{key:"call",value:function(e,t){var n=this;return dg((function(){var t=qT(e);n.imgHeight=t.shape[t.shape.length-3];var r=t.shape[t.shape.length-2];n.widthFactor=tk([1],1+n.widthLower,1+n.widthUpper,"float32",n.randomGenerator.next());var a=n.widthFactor.dataSync()[0]*r;a=Math.round(a);var i=[n.imgHeight,a];switch(n.interpolation){case"bilinear":return Fx.resizeBilinear(e,i);case"nearest":return Fx.resizeNearestNeighbor(e,i);default:throw new Error("Interpolation is ".concat(n.interpolation,"\n          but only ").concat(_(uA)," are supported"))}}))}}]),n}(sA);cA.className="RandomWidth",Rg(cA);var lA,hA;ph().registerFlag("KEEP_INTERMEDIATE_TENSORS",(function(){return!1}),(function(e){e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts 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l=Ay(i.shape,o,s,1,u,c),h=l.strideDepth,p=l.strideHeight,d=l.strideWidth,f=l.filterDepth,v=l.filterHeight,m=l.filterWidth,g=l.dilationDepth,y=l.dilationHeight,b=l.dilationWidth,k=l.effectiveFilterDepth,x=l.effectiveFilterHeight,w=l.effectiveFilterWidth,S=k-1-l.padInfo.front,N=w-1-l.padInfo.left,I=x-1-l.padInfo.top,T=sg(i.shape,"float32"),E=1/(f*v*m),C=n.bufferSync(a),_=0;_<l.batchSize;++_)for(var R=0;R<l.inChannels;++R)for(var A=0;A<l.inDepth;++A)for(var F=0;F<l.inHeight;++F)for(var D=0;D<l.inWidth;++D){for(var O=A-S,M=F-I,L=D-N,z=0,P=0;P<k;P+=g){var B=(O+P)/h;if(!(B<0||B>=l.outDepth||Math.floor(B)!==B))for(var W=0;W<x;W+=y){var U=(M+W)/p;if(!(U<0||U>=l.outHeight||Math.floor(U)!==U))for(var V=0;V<w;V+=b){var G=(L+V)/d;if(!(G<0||G>=l.outWidth||Math.floor(G)!==G))z+=C.get(_,B,U,G,R)}}}T.set(z*E,_,A,F,D,R)}return n.makeTensorInfo(T.shape,T.dtype,T.values)}};var cD={kernelName:Fh,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;GA([a,i],"avgPoolGrad");for(var s=r.filterSize,u=r.strides,c=r.pad,l=Ry(o.shape,s,u,1,c),h=l.strideHeight,p=l.strideWidth,d=l.filterHeight,f=l.filterWidth,v=l.dilationHeight,m=l.dilationWidth,g=l.effectiveFilterHeight,y=l.effectiveFilterWidth,b=y-1-l.padInfo.left,k=g-1-l.padInfo.top,x=sg(o.shape,"float32"),w=1/(d*f),S=n.data.get(a.dataId).values,N=sg(a.shape,"float32",S),I=0;I<l.batchSize;++I)for(var T=0;T<l.inChannels;++T)for(var E=0;E<l.inHeight;++E)for(var C=0;C<l.inWidth;++C){for(var _=E-k,R=C-b,A=0,F=0;F<g;F+=v){var D=(_+F)/h;if(!(D<0||D>=l.outHeight||Math.floor(D)!==D))for(var O=0;O<y;O+=m){var M=(R+O)/p;if(!(M<0||M>=l.outWidth||Math.floor(M)!==M))A+=N.get(I,D,M,T)}}x.set(A*w,I,E,C,T)}return n.makeTensorInfo(x.shape,x.dtype,x.values)}};var lD={kernelName:Tp,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.scale,o=t.offset,s=t.mean,u=t.variance;Fl(s.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Fl(null==o||s.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Fl(null==i||s.shape.length===i.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."})),GA([a,s,u,i,o],"batchNorm");var c=r.varianceEpsilon;null==c&&(c=.001);for(var l=n.data.get(a.dataId).values,h=n.data.get(s.dataId).values,p=n.data.get(u.dataId).values,d=i?n.data.get(i.dataId).values:new Float32Array([1]),f=o?n.data.get(o.dataId).values:new Float32Array([0]),v=new Float32Array(l.length),m=f.length,g=d.length,y=p.length,b=h.length,k=0,x=0,w=0,S=0,N=0;N<l.length;++N)v[N]=f[k++]+(l[N]-h[x++])*d[w++]/Math.sqrt(p[S++]+c),k>=m&&(k=0),x>=b&&(x=0),w>=g&&(w=0),S>=y&&(S=0);return n.makeTensorInfo(a.shape,a.dtype,v)}};function hD(e,t,n,r,a){var i=xy(r,t,n),o=Ml(n),s=$l(r);if(i){var u=wy(t,s);return"string"===a?e.slice(u,u+o):e.subarray(u,u+o)}for(var c=sg(r,a,"string"===a?Sw(e):e),l=sg(n,a),h=0;h<l.size;++h){var p=l.indexToLoc(h),d=p.map((function(e,n){return e+t[n]}));l.set.apply(l,[c.get.apply(c,_(d))].concat(_(p)))}return"string"===a?l.values.map((function(e){return $f(e)})):l.values}function pD(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.size;GA(a,"slice");var s=C(Sy(a,i,o),2),u=s[0],c=s[1];by(a,u,c);var l=hD(n.data.get(a.dataId).values,u,c,a.shape,a.dtype);return n.makeTensorInfo(c,a.dtype,l)}var dD={kernelName:Ud,backendName:"cpu",kernelFunc:pD};var fD={kernelName:Lh,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;GA([a],"batchToSpaceND");var s=i.reduce((function(e,t){return e*t})),u=Gx(a.shape,i,s),c=Hx(u.length,i.length),l=jx(a.shape,i,s),h=Kx(o,i.length),p=qx(l,o,i.length),d=EF({inputs:{x:a},backend:n,attrs:{shape:u}}),f=WF({inputs:{x:d},backend:n,attrs:{perm:c}}),v=EF({inputs:{x:f},backend:n,attrs:{shape:l}}),m=pD({inputs:{x:v},backend:n,attrs:{begin:h,size:p}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(v),m}};function vD(e,t,n,r,a){for(var i=Ml(r),o=rh(a,n),s=0;s<e.length;s++){var u=e[s];if(u<0)throw new Error("Input x must be non-negative!");u>=a||(o[u]+=i>0?t[s]:1)}return o}function mD(e,t,n){for(var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=e.shape[0],i=e.shape[1],o=sg([a,n],t.dtype),s=0;s<a;s++)for(var u=0;u<i;u++){var c=e.get(s,u);if(c<0)throw new Error("Input x must be non-negative!");c>=n||(r?o.set(1,s,c):t.size>0?o.set(o.get(s,c)+t.get(s,u),s,c):o.set(o.get(s,c)+1,s,c))}return o}var gD={kernelName:zh,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=vD(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,s)}},yD=tF((function(e,t){return e&t})),bD={kernelName:Ph,backendName:"cpu",kernelFunc:xF(Ph,yD)};var kD={kernelName:Bh,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=Ug(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},xD=KA((function(e){return Math.ceil(e)})),wD=XA(Uh,xD),SD={kernelName:Uh,backendName:"cpu",kernelFunc:wD},ND=qA(Vh,(function(e,t){var n=t;return e>n.clipValueMax?n.clipValueMax:e<n.clipValueMin?n.clipValueMin:e})),ID={kernelName:Vh,backendName:"cpu",kernelFunc:ND},TD={kernelName:Hh,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs.x,n=e.backend,r=new 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n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return Ml(e.shape)>0}));if(1===i.length)return JA({inputs:{x:i[0]},backend:n});if("complex64"===i[0].dtype){var o=i.map((function(e){return mF({inputs:{input:e},backend:n})})),s=i.map((function(e){return CD({inputs:{input:e},backend:n})})),u=RD({inputs:o,backend:n,attrs:{axis:r}}),c=RD({inputs:s,backend:n,attrs:{axis:r}}),l=dF({inputs:{real:u,imag:c},backend:n});return o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),s.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),l}var h=i.map((function(e){var t=Ml(e.shape.slice(r));return EF({inputs:{x:e},backend:n,attrs:{shape:[-1,t]}})})),p=h.map((function(e){return{vals:n.data.get(e.dataId).values,shape:e.shape}}));a=Bx(h.map((function(e){return e.shape})),1);var d=1===h[0].shape[0],f=ED(p,a,t[0].dtype,d),v=Bx(i.map((function(e){return e.shape})),r),m=n.makeTensorInfo(v,t[0].dtype,f);return h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),m}var AD={kernelName:jh,backendName:"cpu",kernelFunc:RD};function FD(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dilations,l=r.dimRoundingMode;GA([a,i],"conv2d");for(var h=Vy(u),p=Fy(a.shape,i.shape,o,c,s,l,!1,h),d=p.filterHeight,f=p.filterWidth,v=p.dilationHeight,m=p.dilationWidth,g=p.padInfo.left,y=p.padInfo.top,b="channelsLast"===p.dataFormat,k=new dv(p.outShape,a.dtype),x=$l(a.shape),w=$l(i.shape),S=x[0],N=b?x[1]:x[2],I=b?x[2]:1,T=b?1:x[1],E=k.strides[0],C=b?k.strides[1]:k.strides[2],_=b?k.strides[2]:1,R=b?1:k.strides[1],A=n.data.get(a.dataId).values,F=n.data.get(i.dataId).values,D=k.values,O=0;O<p.batchSize;++O)for(var M=O*S,L=O*E,z=0;z<p.outHeight;++z)for(var P=L+z*C,B=z*p.strideHeight-y,W=0;W<d;++W){var U=B+W*v;if(!(U<0||U>=p.inHeight))for(var V=W*w[0],G=M+U*N,H=0;H<p.outWidth;++H)for(var 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M=N-1-f.padInfo.top,L=I-1-f.padInfo.left,z="channelsLast"===d,P=v.strides[0],B=z?v.strides[1]:v.strides[2],W=z?v.strides[2]:1,U=z?1:v.strides[1],V=p[0],G=z?p[1]:p[2],H=z?p[2]:1,j=z?1:p[1],K=0;K<S;++K)for(var q=0;q<T;++q)for(var X=0;X<E;++X)for(var Y=X-M,Q=Math.max(0,Math.ceil(Y/D)),J=Math.min(A,(N+Y)/D),Z=0;Z<_;++Z){for(var $=Z-L,ee=Math.max(0,Math.ceil($/O)),te=Math.min(F,(I+$)/O),ne=0,re=Q;re<J;++re)for(var ae=re*D-Y,ie=ee;ie<te;++ie)for(var oe=V*K+G*re+H*ie,se=k*(N-1-ae)+x*(I-1-(ie*O-$))+w*q,ue=0;ue<R;++ue){ne+=g[oe+j*ue]*y[se+ue]}m[P*K+B*X+W*Z+U*q]=ne}return n.makeTensorInfo(v.shape,v.dtype,v.values)}};var LD={kernelName:Yh,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations;GA([a,i],"conv3d");for(var c=Dy(a.shape,i.shape,o,u,s),l=c.filterDepth,h=c.filterHeight,p=c.filterWidth,d=c.dilationDepth,f=c.dilationHeight,v=c.dilationWidth,m=c.padInfo,g=m.front,y=m.left,b=m.top,k=new dv(c.outShape,a.dtype),x=n.data.get(a.dataId).values,w=n.data.get(i.dataId).values,S=k.values,N=$l(a.shape),I=$l(i.shape),T=0;T<c.batchSize;++T)for(var E=T*N[0],C=T*k.strides[0],_=0;_<c.outDepth;++_)for(var R=C+_*k.strides[1],A=_*c.strideDepth-g,F=0;F<l;++F){var D=A+F*d;if(!(D<0||D>=c.inDepth))for(var O=F*I[0],M=E+D*N[1],L=0;L<c.outHeight;++L)for(var z=R+L*k.strides[2],P=L*c.strideHeight-b,B=0;B<h;++B){var W=P+B*f;if(!(W<0||W>=c.inHeight))for(var U=O+B*I[1],V=M+W*N[2],G=0;G<c.outWidth;++G)for(var H=z+G*c.outChannels,j=G*c.strideWidth-y,K=0;K<p;++K){var q=j+K*v;if(!(q<0||q>=c.inWidth))for(var X=U+K*I[2],Y=V+q*c.inChannels,Q=X,J=0;J<c.inChannels;++J){for(var Z=x[Y+J],$=0;$<c.outChannels;++$)S[H+$]+=Z*w[Q+$];Q+=c.outChannels}}}}return n.makeTensorInfo(k.shape,k.dtype,k.values)}};var zD={kernelName:Qh,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape;GA([a,i],"conv3dBackpropFilterV2");for(var c=$l(a.shape),l=$l(i.shape),h=Dy(a.shape,u,o,1,s),p=h.strideDepth,d=h.strideHeight,f=h.strideWidth,v=h.filterDepth,m=h.filterHeight,g=h.filterWidth,y=new dv(h.filterShape,"float32"),b=y.values,k=C(y.strides,4),x=k[0],w=k[1],S=k[2],N=k[3],I=n.data.get(i.dataId).values,T=C(l,4),E=T[0],_=T[1],R=T[2],A=T[3],F=n.data.get(a.dataId).values,D=C(c,4),O=D[0],M=D[1],L=D[2],z=D[3],P=h.padInfo.front,B=h.padInfo.left,W=h.padInfo.top,U=0;U<v;++U)for(var V=Math.max(0,Math.ceil((P-U)/p)),G=Math.min(h.outDepth,(h.inDepth+P-U)/p),H=U*x,j=0;j<m;++j)for(var K=Math.max(0,Math.ceil((W-j)/d)),q=Math.min(h.outHeight,(h.inHeight+W-j)/d),X=j*w+H,Y=0;Y<g;++Y)for(var Q=Math.max(0,Math.ceil((B-Y)/f)),J=Math.min(h.outWidth,(h.inWidth+B-Y)/f),Z=Y*S+X,$=0;$<h.inChannels;++$)for(var ee=$*N+Z,te=0;te<h.outChannels;++te){for(var ne=0,re=0;re<h.batchSize;++re)for(var ae=re*O,ie=re*E,oe=V;oe<G;++oe)for(var se=(U+oe*p-P)*M+ae,ue=oe*_+ie,ce=K;ce<q;++ce)for(var le=(j+ce*d-W)*L+se,he=ce*R+ue,pe=Q;pe<J;++pe){var de=pe*A+he;ne+=F[(Y+pe*f-B)*z+le+$]*I[de+te]}b[ee+te]=ne}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var PD={kernelName:Jh,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=r.inputShape;GA([a],"conv3dBackpropInputV2");for(var c=$l(a.shape),l=$l(i.shape),h=Dy(u,i.shape,s,1,o),p=new dv(h.inShape,"float32"),d=p.values,f=C(p.strides,4),v=f[0],m=f[1],g=f[2],y=f[3],b=n.data.get(a.dataId).values,k=C(c,4),x=k[0],w=k[1],S=k[2],N=k[3],I=n.data.get(i.dataId).values,T=C(l,4),E=T[0],_=T[1],R=T[2],A=T[3],F=h.batchSize,D=h.filterDepth,O=h.filterHeight,M=h.filterWidth,L=h.inChannels,z=h.inDepth,P=h.inHeight,B=h.inWidth,W=h.outChannels,U=h.outDepth,V=h.outHeight,G=h.outWidth,H=h.strideDepth,j=h.strideHeight,K=h.strideWidth,q=D-1-h.padInfo.front,X=O-1-h.padInfo.top,Y=M-1-h.padInfo.left,Q=0;Q<F;++Q)for(var J=0;J<L;++J)for(var Z=0;Z<z;++Z)for(var $=Z-q,ee=Math.max(0,Math.ceil($/H)),te=Math.min(U,(D+$)/H),ne=0;ne<P;++ne)for(var re=ne-X,ae=Math.max(0,Math.ceil(re/j)),ie=Math.min(V,(O+re)/j),oe=0;oe<B;++oe){for(var se=oe-Y,ue=Math.max(0,Math.ceil(se/K)),ce=Math.min(G,(M+se)/K),le=0,he=ee;he<te;++he)for(var pe=he*H-$,de=ae;de<ie;++de)for(var fe=de*j-re,ve=ue;ve<ce;++ve)for(var me=x*Q+w*he+S*de+N*ve,ge=E*(D-1-pe)+_*(O-1-fe)+R*(M-1-(ve*K-se))+A*J,ye=0;ye<W;++ye){le+=b[me+ye]*I[ge+ye]}d[v*Q+m*Z+g*ne+y*oe+J]=le}return n.makeTensorInfo(p.shape,p.dtype,p.values)}},BD=qA(Zh,(function(e){return Math.cos(e)})),WD={kernelName:Zh,backendName:"cpu",kernelFunc:BD},UD=qA($h,(function(e){return Math.cosh(e)})),VD={kernelName:$h,backendName:"cpu",kernelFunc:UD};var GD={kernelName:np,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,c=r.extrapolationValue,l=C(a.shape,4),h=l[0],p=l[1],d=l[2],f=l[3],v=i.shape[0],m=C(s,2),g=m[0],y=m[1],b=sg([v,g,y,f],"float32"),k=n.data.get(i.dataId).values,x=n.data.get(o.dataId).values,w=n.data.get(a.dataId).values,S=$l(a.shape),N=$l(b.shape),I=0;I<v;I++){var T=4*I,E=k[T],_=k[T+1],R=k[T+2],A=k[T+3],F=x[I];if(!(F>=h))for(var D=g>1?(R-E)*(p-1)/(g-1):0,O=y>1?(A-_)*(d-1)/(y-1):0,M=0;M<g;M++){var L=g>1?E*(p-1)+M*D:.5*(E+R)*(p-1);if(L<0||L>p-1)for(var z=0;z<y;z++)for(var P=0;P<f;P++){var B=P+z*N[2]+M*N[1]+I*N[0];b.values[B]=c}else if("bilinear"===u)for(var W=Math.floor(L),U=Math.ceil(L),V=L-W,G=0;G<y;G++){var H=y>1?_*(d-1)+G*O:.5*(_+A)*(d-1);if(H<0||H>d-1)for(var j=0;j<f;j++){var K=j+G*N[2]+M*N[1]+I*N[0];b.values[K]=c}else for(var q=Math.floor(H),X=Math.ceil(H),Y=H-q,Q=0;Q<f;Q++){var J=Q+q*S[2]+W*S[1]+F*S[0],Z=w[J],$=w[J=Q+X*S[2]+W*S[1]+F*S[0]],ee=w[J=Q+q*S[2]+U*S[1]+F*S[0]],te=Z+($-Z)*Y,ne=ee+(w[J=Q+X*S[2]+U*S[1]+F*S[0]]-ee)*Y;J=Q+G*N[2]+M*N[1]+I*N[0],b.values[J]=te+(ne-te)*V}}else for(var re=0;re<y;++re){var ae=y>1?_*(d-1)+re*O:.5*(_+A)*(d-1);if(ae<0||ae>d-1)for(var ie=0;ie<f;ie++){var oe=ie+re*N[2]+M*N[1]+I*N[0];b.values[oe]=c}else for(var se=Math.round(ae),ue=Math.round(L),ce=0;ce<f;ce++){var le=ce+se*S[2]+ue*S[1]+F*S[0],he=ce+re*N[2]+M*N[1]+I*N[0];b.values[he]=w[le]}}}}return n.makeTensorInfo(b.shape,b.dtype,b.values)}};var HD={kernelName:ep,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;GA(a,"cumprod");var u=Wb([i],a.shape.length),c=a;null!=u&&(c=WF({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=Vb(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumprod in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=Iv(c.dtype,"int32"),p=nh(Ml(c.shape),h),d=n.data.get(c.dataId).values,f=c.shape[c.shape.length-1],v=s?function(e,t){return e+f-t-1}:function(e,t){return e+t},m=0;m<d.length;m+=f)for(var g=0;g<f;g++){var y=v(m,g);if(0===g)p[y]=o?1:d[y];else{var b=v(m,g-1);p[y]=o?d[b]*p[b]:d[y]*p[b]}}var k=n.makeTensorInfo(c.shape,h,p);if(null!=u){var x=WF({inputs:{x:k},backend:n,attrs:{perm:Ub(u)}});return n.disposeIntermediateTensorInfo(k),n.disposeIntermediateTensorInfo(c),x}return k}};var jD={kernelName:tp,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;GA(a,"cumsum");var u=Wb([i],a.shape.length),c=a;null!=u&&(c=WF({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=Vb(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumsum in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=Iv(c.dtype,"int32"),p=rh(Ml(c.shape),h),d=n.data.get(c.dataId).values,f=c.shape[c.shape.length-1],v=s?function(e,t){return e+f-t-1}:function(e,t){return e+t},m=0;m<d.length;m+=f)for(var g=0;g<f;g++){var y=v(m,g);if(0===g)p[y]=o?0:d[y];else{var b=v(m,g-1);p[y]=o?d[b]+p[b]:d[y]+p[b]}}var k=n.makeTensorInfo(c.shape,h,p);if(null!=u){var x=WF({inputs:{x:k},backend:n,attrs:{perm:Ub(u)}});return n.disposeIntermediateTensorInfo(k),n.disposeIntermediateTensorInfo(c),x}return k}};var KD={kernelName:rp,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=vD(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,u)}if(2===a.shape.length){var c=mD(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(c.shape,i.dtype,c.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}};var qD={kernelName:ap,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;Fl("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got ".concat(o)}));for(var s=a.shape[0],u=a.shape[1],c=a.shape[2],l=a.shape[3],h=u*i,p=c*i,d=l/(i*i),f=n.data.get(a.dataId).values,v=new Float32Array(s*h*p*d),m=0,g=0;g<s;++g)for(var y=0;y<h;++y)for(var b=Math.floor(y/i),k=y%i,x=0;x<p;++x)for(var w=Math.floor(x/i),S=(k*i+x%i)*d,N=0;N<d;++N){var I=N+S+l*(w+c*(b+u*g));v[m++]=f[I]}return n.makeTensorInfo([s,h,p,d],a.dtype,v)}};function XD(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=r.dimRoundingMode;GA([a,i],"depthwiseConv2DNative");var l=$l(a.shape),h=$l(i.shape),p=u;null==p&&(p=[1,1]),Fl(Wy(o,p),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. Got strides ".concat(o," and dilations '").concat(p,"'")}));for(var d=Fy(a.shape,i.shape,o,p,s,c,!0),f=d.filterHeight,v=d.filterWidth,m=d.dilationHeight,g=d.dilationWidth,y=d.padInfo,b=y.left,k=y.top,x=d.outChannels/d.inChannels,w=new dv(d.outShape,a.dtype),S=n.data.get(a.dataId).values,N=n.data.get(i.dataId).values,I=w.values,T=0;T<d.batchSize;++T)for(var E=T*l[0],C=T*w.strides[0],_=0;_<d.outHeight;++_)for(var R=C+_*w.strides[1],A=_*d.strideHeight-k,F=0;F<f;++F){var D=A+F*m;if(!(D<0||D>=d.inHeight))for(var O=F*h[0],M=E+D*l[1],L=0;L<d.outWidth;++L)for(var z=R+L*w.strides[2],P=L*d.strideWidth-b,B=0;B<v;++B){var W=P+B*g;if(!(W<0||W>=d.inWidth))for(var U=O+B*h[1],V=M+W*d.inChannels,G=z,H=U,j=0;j<d.inChannels;++j){for(var K=S[V+j],q=0;q<x;++q)I[G+q]+=K*N[H+q];G+=x,H+=x}}}return n.makeTensorInfo(w.shape,w.dtype,w.values)}var YD={kernelName:ip,backendName:"cpu",kernelFunc:XD};var QD={kernelName:op,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape;GA([a,i],"depthwiseConv2dNativeBackpropFilter");for(var h=Fy(a.shape,l,o,s,u,c,!0),p=h.strideHeight,d=h.strideWidth,f=h.filterHeight,v=h.filterWidth,m=new dv(h.filterShape,"float32"),g=h.padInfo.left,y=h.padInfo.top,b=h.outChannels/h.inChannels,k=n.data.get(a.dataId).values,x=new dv(a.shape,a.dtype,k),w=n.data.get(i.dataId).values,S=new dv(i.shape,i.dtype,w),N=0;N<f;++N)for(var I=Math.max(0,Math.ceil((y-N)/p)),T=Math.min(h.outHeight,(h.inHeight+y-N)/p),E=0;E<v;++E)for(var C=Math.max(0,Math.ceil((g-E)/d)),_=Math.min(h.outWidth,(h.inWidth+g-E)/d),R=0;R<h.outChannels;++R){for(var A=Math.trunc(R/b),F=R%b,D=0,O=0;O<h.batchSize;++O)for(var M=I;M<T;++M)for(var L=N+M*p-y,z=C;z<_;++z){var P=E+z*d-g;D+=x.get(O,L,P,A)*S.get(O,M,z,R)}m.set(D,N,E,A,F)}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var JD={kernelName:sp,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.inputShape;GA([a,i],"depthwiseConv2DNativeBackpropInput");for(var h=$l(a.shape),p=$l(i.shape),d=Fy(l,i.shape,o,s,u,c,!0),f=new dv(d.inShape,"float32"),v=f.values,m=C(f.strides,3),g=m[0],y=m[1],b=m[2],k=n.data.get(a.dataId).values,x=C(h,3),w=x[0],S=x[1],N=x[2],I=n.data.get(i.dataId).values,T=C(p,3),E=T[0],_=T[1],R=T[2],A=d.batchSize,F=d.filterHeight,D=d.filterWidth,O=d.inChannels,M=d.inHeight,L=d.inWidth,z=d.outChannels,P=d.outHeight,B=d.outWidth,W=d.strideHeight,U=d.strideWidth,V=F-1-d.padInfo.top,G=D-1-d.padInfo.left,H=z/O,j=0;j<A;++j)for(var K=0;K<O;++K)for(var q=0;q<M;++q)for(var X=q-V,Y=Math.max(0,Math.ceil(X/W)),Q=Math.min(P,(F+X)/W),J=0;J<L;++J){for(var Z=J-G,$=Math.max(0,Math.ceil(Z/U)),ee=Math.min(B,(D+Z)/U),te=0,ne=Y;ne<Q;++ne)for(var re=ne*W-X,ae=$;ae<ee;++ae)for(var ie=w*j+S*ne+N*ae,oe=E*(F-1-re)+_*(D-1-(ae*U-Z))+R*K,se=0;se<H;++se){te+=k[ie+(K*H+se)]*I[oe+se]}v[g*j+y*q+b*J+K]=te}return n.makeTensorInfo(f.shape,f.dtype,f.values)}};var ZD={kernelName:up,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=t.x,a=Ml(r.shape),i=n.data.get(r.dataId).values,o=sg([a,a],r.dtype),s=o.values,u=0;u<i.length;u++)s[u*a+u]=i[u];var c=[].concat(_(r.shape),_(r.shape));return n.makeTensorInfo(c,o.dtype,o.values)}},$D={kernelName:cp,backendName:"cpu",kernelFunc:function(e){for(var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=n,l=c.data.get(a.dataId).values,h=a.shape.length,p=c.data.get(i.dataId).values,d=i.shape.length,f=_y(a.shape,i.shape,o,s,"NHWC",u),v=f.batchSize,m=f.inHeight,g=f.inWidth,y=f.inChannels,b=f.outHeight,k=f.outWidth,x=f.padInfo,w=f.strideHeight,S=f.strideWidth,N=f.filterHeight,I=f.filterWidth,T=f.dilationHeight,E=f.dilationWidth,C=f.outShape,_=Ml(C),R=C.length,A=jl(a.dtype,_),F=0;F<v;++F)for(var D=0;D<b;++D)for(var O=D*w-x.top,M=0;M<k;++M)for(var L=M*S-x.left,z=0;z<y;++z){for(var P=Number.MIN_SAFE_INTEGER,B=0;B<N;++B){var W=O+B*T;if(W>=0&&W<m)for(var U=0;U<I;++U){var V=L+U*E;if(V>=0&&V<g){var G=oh([F,W,V,z],h,$l(a.shape)),H=oh([B,U,z],d,$l(i.shape)),j=l[G]+p[H];j>P&&(P=j)}}}A[oh([F,D,M,z],R,$l(C))]=P}return{dataId:c.write(Jf(A,a.dtype),C,a.dtype),shape:C,dtype:a.dtype}}},eO={kernelName:hp,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.dy,s=r.strides,u=r.pad,c=r.dilations,l=n,h=th(a.shape,l.data.get(a.dataId).values),p=th(i.shape,l.data.get(i.dataId).values),d=_y(a.shape,i.shape,s,u,"NHWC",c),f=d.batchSize,v=d.inHeight,m=d.inWidth,g=d.inChannels,y=d.outHeight,b=d.outWidth,k=d.padInfo,x=d.strideHeight,w=d.strideWidth,S=d.filterHeight,N=d.filterWidth,I=d.dilationHeight,T=d.dilationWidth,E=d.outShape;Fl(o.rank===E.length,(function(){return"Error in ".concat(hp,", dy ")+"must have the same rank as output ".concat(E.length,", but got ")+"".concat(o.rank)}));for(var C=th(E,l.data.get(o.dataId).values),_=ah(i.shape,i.dtype),R=0;R<f;++R)for(var A=0;A<y;++A)for(var F=A*x-k.top,D=0;D<b;++D)for(var O=D*w-k.left,M=0;M<g;++M){for(var L=Number.MIN_SAFE_INTEGER,z=0,P=0,B=0;B<S;++B){var W=F+B*I;if(W>=0&&W<v)for(var U=0;U<N;++U){var V=O+U*T;if(V>=0&&V<m){var 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u=s?a:ZM({inputs:{logits:a},backend:n,attrs:{dim:-1}}),c=u.shape[0],l=u.shape[1],h=n.data.get(u.dataId).values,p=[c,i],d=rh(Ml(p),"int32"),f=0;f<c;++f){var v=f*l,m=new Float32Array(l-1);m[0]=h[v];for(var g=1;g<m.length;++g)m[g]=m[g-1]+h[v+g];for(var y=io.alea(o.toString()),b=f*i,k=0;k<i;++k){var x=y();d[b+k]=m.length;for(var w=0;w<m.length;w++)if(x<m[w]){d[b+k]=w;break}}}return s||n.disposeIntermediateTensorInfo(u),n.makeTensorInfo(p,"int32",d)}};function tL(e,t,n){var r=Qf(-1,n);return rO([],t,r,e,n)}var nL={kernelName:ud,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x;GA(r,"neg");var a=C(tL(n.data.get(r.dataId).values,r.shape,r.dtype),2),i=a[0],o=a[1];return n.makeTensorInfo(o,r.dtype,i)}},rL=tx;var aL={kernelName:ld,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold;GA(a,"NonMaxSuppression");var c=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,h=rL(c,l,o,s,u).selectedIndices;return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}},iL=nx;var oL={kernelName:hd,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.padToMaxOutputSize;GA(a,"NonMaxSuppressionPadded");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,p=iL(l,h,o,s,u,c),d=p.selectedIndices,f=p.validOutputs;return[n.makeTensorInfo([d.length],"int32",new Int32Array(d)),n.makeTensorInfo([],"int32",new Int32Array([f]))]}},sL=rx;var uL={kernelName:pd,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma;GA(a,"NonMaxSuppressionWithScore");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,p=sL(l,h,o,s,u,c),d=p.selectedIndices,f=p.selectedScores;return[n.makeTensorInfo([d.length],"int32",new Int32Array(d)),n.makeTensorInfo([f.length],"float32",new Float32Array(f))]}},cL=tF((function(e,t){return e!==t?1:0})),lL=xF(cd,cL,null,"bool"),hL={kernelName:cd,backendName:"cpu",kernelFunc:lL};var pL={kernelName:fd,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.dtype,o=r.depth,s=r.onValue,u=r.offValue;GA(a,"oneHot");var c=Ml(a.shape),l=new Float32Array(c*o);l.fill(u);for(var h=n.data.get(a.dataId).values,p=0;p<c;++p)h[p]>=0&&h[p]<o&&(l[p*o+h[p]]=s);return n.makeTensorInfo([].concat(_(a.shape),[o]),i,l)}};function dL(e){var t=e.inputs,n=e.backend,r=t.x;if("string"===r.dtype)throw new Error("zerosLike is not supported for string tensors");if("complex64"===r.dtype){var a=mF({inputs:{input:r},backend:n}),i=dL({inputs:{x:a},backend:n}),o=CD({inputs:{input:r},backend:n}),s=dL({inputs:{x:o},backend:n}),u=dF({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return MO({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var fL={kernelName:xf,backendName:"cpu",kernelFunc:dL};var vL={kernelName:dd,backendName:"cpu",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n.x;if("string"===a.dtype)throw new Error("onesLike is not supported for string tensors");if("complex64"===a.dtype){var i=mF({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=CD({inputs:{input:a},backend:r}),u=dL({inputs:{x:s},backend:r}),c=dF({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),c}return MO({backend:r,attrs:{shape:a.shape,value:1,dtype:a.dtype}})}};function mL(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return bO({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){Dl(a,e.shape,"All tensors passed to stack must have matching shapes"),Fl(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=RD({inputs:t.map((function(e){var t=bO({inputs:{input:e},backend:n,attrs:{dim:r}});return o.push(t),t})),backend:n,attrs:{axis:r}});return o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),s}var gL={kernelName:vd,backendName:"cpu",kernelFunc:mL};var yL={kernelName:md,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;GA(a,"pad");var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]})),u=i.map((function(e){return e[0]})),c=n.data.get(a.dataId).values,l=Ml(a.shape),h=a.shape.length,p=$l(a.shape),d=Ml(s),f=s.length,v=$l(s),m=Hl(a.dtype,d);0!==o&&m.fill(o);for(var g=0;g<l;g++){m[oh(sh(g,h,p).map((function(e,t){return e+u[t]})),f,v)]=c[g]}return{dataId:n.write(m,s,a.dtype),shape:s,dtype:a.dtype}}},bL=tF((function(e,t){return Math.pow(e,t)})),kL=xF(gd,bL),xL={kernelName:gd,backendName:"cpu",kernelFunc:kL};function wL(e,t,n,r){for(var a=C(zb(e,r),2),i=a[0],o=a[1],s=Iv(t,"int32"),u=rh(Ml(i),s),c=Ml(o),l=0;l<u.length;++l){for(var h=l*c,p=1,d=0;d<c;++d)p*=n[h+d];u[l]=p}return{outVals:u,outShape:i,outDtype:s}}var SL={kernelName:bd,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;GA(a,"prod");var s=a.shape.length,u=Vl(i,a.shape),c=Wb(u,s),l=u,h=a,p=[];null!=c&&(h=WF({inputs:{x:a},backend:n,attrs:{perm:c}}),p.push(h),l=Vb(l.length,s));var d=n.data.get(h.dataId).values,f=wL(h.shape,h.dtype,d,l),v=f.outVals,m=f.outShape,g=f.outDtype,y=m;return o&&(y=Pb(m,u)),p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(y,g,v)}};function NL(e,t,n,r){var a=[],i=0,o=t.length-1+n.length,s=new Array(o).fill(null).map((function(){return[0]}));!function(e,t){for(var n=0;n<e.length;++n){var r=e[n],a=n===e.length-1?t:e[n+1].length;if(0===r.length)throw new Error("Ragged splits may not be empty");if(r[0]<0)throw new Error("Ragged splits must be non-negative");if(r[r.length-1]>a)throw new Error("Ragged splits must not point past values");for(var i=1;i<r.length;++i)if(r[i-1]>r[i])throw new Error("Ragged splits must be sorted in ascending order")}}(n,r);for(var u=1,c=0;c<t.length-1;++c){u*=t[c];for(var l=t[c+1],h=1;h<u+1;++h)s[c].push(h*l)}for(var p=0;p<e.length;++p){for(var d=e[p],f=e[p]+1,v=0;v<n.length;++v){var m=n[v],g=v+t.length-1;if(g>=0)for(var y=s[g],b=y[y.length-1]-m[d],k=d;k<f;++k)s[g].push(m[k+1]+b);d=m[d],f=m[f]}f!==d&&(a.push([d,f]),i+=f-d)}return{outSplits:s,valueSlices:a,numValues:i}}function IL(e,t){for(var n=e.slice(0,t);n.length<t;)n.push(1);for(var r=t;r<e.length;r++)n[t-1]*=e[r];return n}function TL(e,t,n,r,a){var i=t.slice();i[0]=a;var o=jl(n,Ml(i)),s=e.length;return function(e,t,n,r,a,i){var o,s=IL(t,2)[1],u=IL(i,2)[1],c=0,l=O(n);try{for(l.s();!(o=l.n()).done;)for(var h=o.value,p=h[0];p<h[1];++p){for(var d=0;d<r;++d)a[c*u+d]=e[p*s+d];++c}}catch(iX){l.e(iX)}finally{l.f()}}(e,t,r,0===s?0:s/t[0],o,i),[o,i]}function EL(e,t,n,r,a,i,o,s){if(0===e.length)throw new Error("paramsNestedSplits must be non empty");if(0===t[0].length)throw new Error("Split tensors must not be scalars");if(function(e,t,n){e.forEach((function(e,r){if(e<0||e>=n){var a=sh(r,t.length,$l(t)).join(",");throw new Error("indices[".concat(a,"] = ").concat(e," is not in [0, ").concat(n,")"))}}))}(i,o,t[0][0]-1),0===r.length)throw new Error("params.rank must be nonzero");var u=NL(i,o,e,r[0]),c=u.outSplits,l=u.valueSlices,h=u.numValues,p=function(e){for(var t=[],n=function(){var n=jl("int32",e[r].length);t.push(n),e[r].forEach((function(e,t){return n[t]=e}))},r=0;r<e.length;++r)n();return t}(c),d=TL(n,r,a,l,h);return[p,d[0],d[1]]}var CL={kernelName:kd,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.paramsNestedSplits,i=t.paramsDenseValues,o=t.indices,s=(r.outputRaggedRank,a.map((function(e){return n.data.get(e.dataId).values}))),u=a.map((function(e){return e.shape})),c=n.data.get(i.dataId).values,l=n.data.get(o.dataId).values,h=C(EL(s,u,c,i.shape,i.dtype,l,o.shape),3),p=h[0],d=h[1],f=h[2],v=p.map((function(e){return n.makeTensorInfo([e.length],"int32",e)})),m=n.makeTensorInfo(f,i.dtype,d);return v.concat([m])}},_L=2147483647;function RL(e,t,n,r,a,i,o){if(t.length>1)throw new Error("starts must be a scalar or vector");if(a.length>1)throw new Error("limits must be a scalar or vector");if(o.length>1)throw new Error("deltas must be a scalar or vector");var s=0===t.length,u=0===a.length,c=0===o.length,l=[];s||l.push(t[0]),u||l.push(a[0]),c||l.push(o[0]);for(var h=1;h<l.length;++h)if(l[h]!==l[h-1])throw new Error("starts, limits, and deltas must have the same shape");var p=0===l.length?1:l[0],d=jl("int32",p+1);d[0]=0;for(var f=0;f<p;++f){var v=s?e[0]:e[f],m=u?r[0]:r[f],g=c?i[0]:i[f];if(0===g)throw new Error("Requires delta != 0");var y=void 0;if(g>0&&m<v||g<0&&m>v)y=0;else if((y=Math.ceil(Math.abs((m-v)/g)))>_L)throw new Error("Requires ((limit - start) / delta) <= ".concat(_L));d[f+1]=d[f]+y}for(var b=jl(n,d[p]),k=0,x=0;x<p;++x)for(var w=d[x+1]-d[x],S=s?e[0]:e[x],N=c?i[0]:i[x],I=0;I<w;++I)b[k++]=S,S+=N;return[d,b]}var AL={kernelName:xd,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.starts,a=t.limits,i=t.deltas,o=n.data.get(r.dataId).values,s=n.data.get(a.dataId).values,u=n.data.get(i.dataId).values,c=C(RL(o,r.shape,r.dtype,s,a.shape,u,i.shape),2),l=c[0],h=c[1];return[n.makeTensorInfo([l.length],"int32",l),n.makeTensorInfo([h.length],r.dtype,h)]}},FL=Ax,DL=function(){function e(t,n,r,a,i,o,s,u,c,l){var h;M(this,e),this.shape=t,this.shapeShape=n,this.values=r,this.valuesShape=a,this.valuesDType=i,this.defaultValue=o,this.defaultValueShape=s,this.rowPartitionValues=u,this.rowPartitionValuesShapes=c,this.rowPartitionTypes=function(e){var t,n={FIRST_DIM_SIZE:Ax.FIRST_DIM_SIZE,VALUE_ROWIDS:Ax.VALUE_ROWIDS,ROW_LENGTHS:Ax.ROW_LENGTHS,ROW_SPLITS:Ax.ROW_SPLITS,ROW_LIMITS:Ax.ROW_LIMITS,ROW_STARTS:Ax.ROW_STARTS},r=[],a=O(e);try{for(a.s();!(t=a.n()).done;){var i=t.value;if(!(i in n))break;r.push(n[i])}}catch(iX){a.e(iX)}finally{a.f()}return r}(l),this.raggedRank=0===(h=this.rowPartitionTypes).length?0:h[0]===Ax.FIRST_DIM_SIZE?h.length-1:h.length}return P(e,[{key:"getRowPartitionTypeByDimension",value:function(e){return this.rowPartitionTypes[0]===FL.FIRST_DIM_SIZE?this.rowPartitionTypes[e+1]:this.rowPartitionTypes[e]}},{key:"getRowPartitionTensor",value:function(e){return this.rowPartitionTypes[0]===FL.FIRST_DIM_SIZE?this.rowPartitionValues[e+1]:this.rowPartitionValues[e]}},{key:"getMaxWidth",value:function(t){var n=this.getRowPartitionTensor(t-1);switch(this.getRowPartitionTypeByDimension(t-1)){case FL.VALUE_ROWIDS:return e.getMaxWidthValueRowID(n);case FL.ROW_SPLITS:return e.getMaxWidthRowSplit(n);default:throw new Error("Cannot handle partition type ".concat(FL[this.getRowPartitionTypeByDimension(t-1)]))}}},{key:"tensorShapeFromTensor",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(0===t.length){if(-1===e[0])return[];throw new Error("The only valid scalar shape tensor is the fully unknown shape specified as -1.")}return ML(e,n)}},{key:"calculateOutputSize",value:function(e){var t=this.valuesShape;!function(e,t){if(null!=e&&null!=t){var n=e.length,r=t.length;if(n>=r)throw new Error("defaultValue.shape=".concat(e," and ragged tensor flatValues.shape=").concat(t,", are incompatible: defaultValue.rank = ").concat(n," must be less than ragged tensor input flatValues.rank = ").concat(r,")"));for(var a=0;a<Math.min(n,r-1);++a){var i=e[a],o=t[a+1];if(i>=0&&o>=0&&1!==i&&i!==o)throw new Error("defaultValue.shape=".concat(e,", and ragged tensor input flatValues.shape=").concat(t," are incompatible: defaultValue.shape[").concat(a-e.length,"] = ").concat(i," but ragged tensor input.flatValues.shape[").concat(a-e.length,"] = ").concat(o))}}}(this.defaultValueShape,t);var n=this.tensorShapeFromTensor(this.shape,this.shapeShape),r=function(e,t,n){var r=new Array;if(null==n&&null==t)return r;if(null==t)for(;r.length<e+n.length;)r.push(-1);else r=t.slice();if(null==n)return r;if(e+n.length!==r.length)throw new Error("rt input.shape and shape=".concat(t," are incompatible: rt input.rank = ").concat(e+n.length,", but shape.rank = ").concat(r.length));for(var a=1;a<n.length;++a){var i=n[a],o=r[r.length-n.length+a],s=r[o];if(i>=0)if(s>=0){if(s!==i)throw new Error("rt input.shape and shape=".concat(t," are incompatible: rt input.shape[").concat(a+e,"] = ").concat(i," but shape[").concat(a+e,"] = ").concat(s))}else r[o]=i}return r}(this.raggedRank,n,t),a=r;a[0]<0&&(a[0]=e);for(var i=1;i<=this.raggedRank;++i)a[i]<0&&(a[i]=this.getMaxWidth(i));return a}},{key:"calculateFirstParentOutputIndex",value:function(e,t,n){for(var r=Math.min(e,n),a=[],i=0,o=0;o<r;++o,i+=t)a.push(i);for(var s=r;s<e;++s)a.push(-1);return Fl(a.length===e,(function(){return"Final length of result must be equal to firstDimension."})),a}},{key:"calculateOutputIndexRowSplit",value:function(e,t,n,r){for(var a=e.length,i=[],o=0;o<a-1;++o){var s=e[o+1]-e[o],u=Math.min(r,s),c=t[o];-1===c&&(u=0);for(var l=0;l<u;++l)i.push(c),c+=n;for(var h=0;h<s-u;++h)i.push(-1)}if(a>0&&i.length!==e[a-1])throw new Error("Invalid row split size.");return i}},{key:"calculateOutputIndexValueRowID",value:function(e,t,n,r){var a=e.length,i=[];if(0===a)return[];var o=0,s=e[0];if(s>=t.length)throw new Error("Got currentValueRowId=".concat(s,", which is not less than ").concat(t.length));var u=t[s];i.push(u);for(var c=1;c<a;++c){var l=e[c];if(l===s)u>=0&&(++o<r?u+=n:u=-1);else{if(o=0,s=l,l>=t.length)throw new Error("Got nextValueRowId=".concat(l," which is not less than ").concat(t.length));u=t[l]}i.push(u)}if(i.length!==e.length)throw new Error("Invalid row ids.");return i}},{key:"calculateOutputIndex",value:function(e,t,n,r){var a=this.getRowPartitionTensor(e),i=this.getRowPartitionTypeByDimension(e);switch(i){case FL.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(a,t,n,r);case FL.ROW_SPLITS:if(a.length-1>t.length)throw new Error("Row partition size is greater than output size: ".concat(a.length-1," > ").concat(t.length));return this.calculateOutputIndexRowSplit(a,t,n,r);default:throw new Error("Unsupported partition type: ".concat(FL[i]))}}},{key:"getFirstDimensionSize",value:function(){var e=this.rowPartitionValues[0];if(0===this.rowPartitionTypes.length)throw new Error("No row_partition_types given.");var t=this.rowPartitionTypes[0];switch(t){case FL.FIRST_DIM_SIZE:return e[0];case FL.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case FL.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error("Cannot handle type ".concat(FL[t]))}}},{key:"compute",value:function(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");var e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(var r=n.length-2;r>=0;--r)n[r]=n[r+1]*t[r+1];var a=ML(t,!1),i=jl(this.valuesDType,Ml(a));if(n[0]*t[0]>0){for(var o=this.calculateFirstParentOutputIndex(e,n[0],t[0]),s=1;s<=this.raggedRank;++s){o=this.calculateOutputIndex(s-1,o,n[s],t[s])}this.setOutput(this.raggedRank,o,i,a)}return[a,i]}},{key:"setOutput",value:function(e,t,n,r){if(0!==n.length){var a=this.values,i=n,o=r.slice(),s=Ml(o=o.slice(e+1)),u=t.length,c=this.defaultValue;if(c.length!==s&&1!==c.length){var l=this.defaultValueShape;dg((function(){var e=Hy(c,l),t=Jy(e,o);c=t.dataSync()}))}for(var h=0,p=0,d=0,f=0;f<=u;++f){var v=f<u?t[f]:-1;if(v!==d){if(p<d){var m=a.subarray(h*s);OL(i.subarray(p*s),m,(d-p)*s)}if(f>=u){var g=n.length;v=Math.floor(g/s)}if(v>d)if(1===this.defaultValue.length)i.subarray(d*s,v*s).fill(this.defaultValue[0]),d=v;else 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t=e.inputs,n=e.backend,r=e.attrs,a=t.shape,i=t.values,o=t.defaultValue,s=t.rowPartitionTensors,u=r.rowPartitionTypes,c=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,h=n.data.get(o.dataId).values,p=s.map((function(e){return n.data.get(e.dataId).values})),d=s.map((function(e){return e.shape})),f=C(LL(c,a.shape,l,i.shape,i.dtype,h,o.shape,p,d,u),2),v=f[0],m=f[1];return n.makeTensorInfo(v,i.dtype,m)}};function PL(e,t,n,r){if(e===t||e<t&&n<0||t<e&&n>1)return rh(0,r);var a=rh(Math.abs(Math.ceil((t-e)/n)),r);t<e&&1===n&&(n=-1),a[0]=e;for(var i=1;i<a.length;i++)a[i]=a[i-1]+n;return a}var BL={kernelName:Sd,backendName:"cpu",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.dtype,o=PL(r,a,n.step,i);return t.makeTensorInfo([o.length],i,o)}},WL=qA(Id,(function(e){return 1/e})),UL={kernelName:Id,backendName:"cpu",kernelFunc:WL};var VL={kernelName:Rd,backendName:"cpu",kernelFunc:function(e){var 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t,n=e.inputs,r=e.backend,a=e.attrs,i=n.sparseIndices,o=n.sparseValues,s=n.defaultValue,u=a.outputShape,c=Yx(0,i,u),l=c.sliceRank,h=c.numUpdates,p=c.sliceSize,d=c.strides,f=c.outputSize,v=!1,m=r.bufferSync(i);switch(o.dtype){case"bool":t=$L(m,r.bufferSync(o),u,f,p,h,l,d,Boolean(r.data.get(s.dataId).values[0]),v);break;case"float32":t=$L(m,r.bufferSync(o),u,f,p,h,l,d,r.data.get(s.dataId).values[0],v);break;case"int32":t=$L(m,r.bufferSync(o),u,f,p,h,l,d,r.data.get(s.dataId).values[0],v);break;case"string":t=$L(m,r.bufferSync(o),u,f,p,h,l,d,ev(r.data.get(s.dataId).values[0]),v);break;default:throw new Error("Unsupported type ".concat(o.dtype))}return r.makeTensorInfo(u,t.dtype,t.values)}};var Iz={kernelName:Qd,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.numOrSizeSplits,o=Vl(r.axis,a.shape)[0],s=yw(a,i,o),u=new Array(a.shape.length).fill(0),c=a.shape.slice();return s.map((function(e){var t=_(c);t[o]=e;var 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new Error("WEBGL_FLUSH_THRESHOLD must be a number but got "+"".concat(e,"."));if(e<0&&-1!==e)throw new Error("WEBGL_FLUSH_THRESHOLD must be -1 (indicating never "+"manual flush) or at least 0, but got ".concat(e,"."))})),QP.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",(function(){return 128})),QP.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",(function(){return!1})),QP.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",(function(){return 1e5})),QP.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",(function(){return 128})),QP.registerFlag("WEBGL_EXP_CONV",(function(){return!1})),QP.registerFlag("SOFTWARE_WEBGL_ENABLED",(function(){return QP.getBool("IS_TEST")})),QP.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",(function(){return 1/0})),QP.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",(function(){return!1})),QP.registerFlag("WEBGL2_ISNAN_CUSTOM",(function(){return!1})),QP.registerFlag("ENGINE_COMPILE_ONLY",(function(){return!1}));var nB="\n  const float FLOAT_MAX = 1.70141184e38;\n  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textureSampler, vec2 uv) {\n      return ".concat(e.texture2D,"(textureSampler, uv).r;\n    }\n  ")}(c),h=function(e){var t="".concat(e.version,"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    ").concat(e.varyingFs," vec2 resultUV;\n    ").concat(e.defineOutput,"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    ").concat(e.defineSpecialNaN,"\n    ").concat(e.defineSpecialInf,"\n    ").concat(e.defineRound,"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave 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        vec2(".concat(r[0],", ").concat(r[1],"));\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n      int b = index / ").concat(i,";\n      index -= b * ").concat(i,";\n\n      int r = 2 * (index / ").concat(a,");\n      int c = imod(index, ").concat(a,") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ")}(e,t,n);default:return function(e,t,n){if(n)return"\n    ivec4 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n\n      int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));\n      int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));\n      int texelsInBatchN = texelsInBatch * outShape[1];\n\n      int b2 = index / texelsInBatchN;\n      index -= b2 * texelsInBatchN;\n\n      int b = index / texelsInBatch;\n      index -= b * texelsInBatch;\n\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec4(b2, b, r, c);\n    }\n  ";for(var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[e.length-1]/2),i=a*Math.ceil(e[e.length-2]/2),o=i,s="",u="b, r, c",c=2;c<e.length-1;c++)o*=e[e.length-c-1],s="\n      int b".concat(c," = index / ").concat(o,";\n      index -= b").concat(c," * ").concat(o,";\n    ")+s,u="b".concat(c,", ")+u;return"\n    ivec".concat(e.length," getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(").concat(r[0],", ").concat(r[1],"));\n      int index = resTexRC.x * ").concat(r[1]," + resTexRC.y;\n\n      ").concat(s,"\n\n      int b = index / ").concat(i,";\n      index -= b * ").concat(i,";\n\n      int r = 2 * (index / ").concat(a,");\n      int c = imod(index, ").concat(a,") * 2;\n\n      return ivec").concat(e.length,"(").concat(u,");\n    }\n  ")}(e,t,n)}}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(vec4 val) {\n      ".concat(e.output," = val;\n    }\n  ")}(c)):(a=function(e,t,n){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t,n){if(1===t[0])return n?"\n      int getOutputCoords() {\n        return int(resultUV.x * float(outTexShape[1]));\n      }\n    ":"\n      int getOutputCoords() {\n        return int(resultUV.x * ".concat(t[1],".0);\n      }\n    ");if(1===t[1])return n?"\n      int getOutputCoords() {\n        return int(resultUV.y * float(outTexShape[0]));\n      }\n    ":"\n      int getOutputCoords() {\n        return int(resultUV.y * ".concat(t[0],".0);\n      }\n    ");if(n)return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(outTexShape[0], outTexShape[1]));\n      return resTexRC.x * outTexShape[1] + resTexRC.y;\n    }\n  ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      return resTexRC.x * ").concat(t[1]," + resTexRC.y;\n    }\n  ")}(0,t,n);case 2:return function(e,t,n){if(Ll(e,t))return n?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(".concat(t[0],", ").concat(t[1],"));\n      }\n    ");if(1===e[1])return n?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(outTexShape[0], outTexShape[1]));\n        int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(".concat(t[0],", ").concat(t[1],"));\n        int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ");if(1===e[0])return n?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(outTexShape[0], outTexShape[1]));\n        int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(".concat(t[0],", ").concat(t[1],"));\n        int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ");if(n)return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(outTexShape[0], outTexShape[1]));\n      int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n      int r = index / outShape[1];\n      int c = index - r * outShape[1];\n      return ivec2(r, c);\n    }\n  ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      int r = index / ").concat(e[1],";\n      int c = index - r * ").concat(e[1],";\n      return ivec2(r, c);\n    }\n  ")}(e,t,n);case 3:return function(e,t,n){if(n){var r=$P(["r","c","d"],e);return"\n  ivec3 getOutputCoords() {\n    ivec2 resTexRC = ivec2(resultUV.yx *\n                           vec2(outTexShape[0], outTexShape[1]));\n    int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n    ".concat(r,"\n    return ivec3(r, c, d);\n  }\n")}var a=ZP(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(a,"\n      return ivec3(r, c, d);\n    }\n  ")}(e,t,n);case 4:return function(e,t,n){if(n){var r=$P(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(outTexShape[0], outTexShape[1]));\n      int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n      ".concat(r,"\n      return ivec4(r, c, d, d2);\n    }\n  ")}var a=ZP(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(a,"\n      return ivec4(r, c, d, d2);\n    }\n  ")}(e,t,n);case 5:return function(e,t){var n=ZP(["r","c","d","d2","d3"],e);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(".concat(t[0],",\n                             ").concat(t[1],"));\n\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n\n      ").concat(n,"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  ")}(e,t);case 6:return function(e,t){var n=ZP(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n\n      ").concat(n,"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  ")}(e,t);default:throw new Error("".concat(e.length,"-D output sampling is not yet supported"))}}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(float val) {\n      ".concat(e.output," = vec4(val, 0, 0, 0);\n    }\n  ")}(c)),n.packedInputs&&(h+=lB),[h,l,i,o,a,s,n.userCode].join("\n")}function iB(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=e.shapeInfo.logicalShape;switch(n.length){case 0:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"float ".concat(r,"() {return ").concat(n,";}");var a=C(e.shapeInfo.texShape,2),i=a[0],o=a[1];if(1===i&&1===o)return"\n      float ".concat(r,"() {\n        return sampleTexture(").concat(n,", halfCR);\n      }\n    ");var s=hB(n);if(t)return"\n    float ".concat(r,"() {\n      vec2 uv = uvFromFlat(").concat(n,"TexShape[0], ").concat(n,"TexShape[1], ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ");var u=C(e.shapeInfo.texShape,2),c=u[0],l=u[1];return"\n    float ".concat(r,"() {\n      vec2 uv = uvFromFlat(").concat(c,", ").concat(l,", ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}(e,t);case 1:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int index) {\n        ").concat(pB(e),"\n      }\n    ");var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===o&&1===i)return"\n      float ".concat(r,"(int index) {\n        return sampleTexture(").concat(n,", halfCR);\n      }\n    ");var s=hB(n);if(1===o)return t?"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2(0.5, (float(index + ").concat(s,") + 0.5) / float(").concat(n,"TexShape[0]));\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2(0.5, (float(index + ").concat(s,") + 0.5) / ").concat(i,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(1===i)return t?"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / float(").concat(n,"TexShape[1]), 0.5);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / ").concat(o,".0, 0.5);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(t)return"\n    float ".concat(r,"(int index) {\n      vec2 uv = uvFromFlat(").concat(n,"TexShape[0], ").concat(n,"TexShape[1], index + ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ");return"\n    float ".concat(r,"(int index) {\n      vec2 uv = uvFromFlat(").concat(i,", ").concat(o,", index + ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}(e,t);case 2:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape;if(null!=i&&Ll(n,i)){if(t)return"\n      float ".concat(a,"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");var o=i[0],s=i[1];return"\n    float ".concat(a,"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(s,".0, ").concat(o,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  ")}var u=Gl(n),c=u.newShape,l=u.keptDims,h=c;if(h.length<n.length){var p=vB(e,h),d=["row","col"];return"\n      ".concat(iB(p,t),"\n      float ").concat(a,"(int row, int col) {\n        return ").concat(a,"(").concat(mB(d,l),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(a,"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2(").concat(n[1],", 1)));\n        ").concat(pB(e),"\n      }\n    ");var f=i[0],v=i[1],m=hB(r);if(1===v)return t?"\n      float ".concat(a,"(int row, int col) {\n        float index = dot(vec3(row, col, ").concat(m,"), vec3(").concat(r,"Shape[1], 1, 1));\n        vec2 uv = vec2(0.5, (index + 0.5) / float(").concat(r,"TexShape[0]));\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n    float ".concat(a,"(int row, int col) {\n      float index = dot(vec3(row, col, ").concat(m,"), vec3(").concat(n[1],", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / ").concat(f,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  ");if(1===f)return t?"\n      float ".concat(a,"(int row, int col) {\n        float index = dot(vec3(row, col, ").concat(m,"), vec3(").concat(r,"Shape[1], 1, 1));\n        vec2 uv = vec2((index + 0.5) / float(").concat(r,"TexShape[1]), 0.5);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n    float ".concat(a,"(int row, int col) {\n      float index = dot(vec3(row, col, ").concat(m,"), vec3(").concat(n[1],", 1, 1));\n      vec2 uv = vec2((index + 0.5) / ").concat(v,".0, 0.5);\n      return sampleTexture(").concat(r,", uv);\n    }\n  ");if(t)return"\n      float ".concat(a,"(int row, int col) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ").concat(r,"Shape[1] + col + ").concat(m,";\n        vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");return"\n  float ".concat(a,"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ").concat(n[1]," + col + ").concat(m,";\n    vec2 uv = uvFromFlat(").concat(f,", ").concat(v,", index);\n    return sampleTexture(").concat(r,", uv);\n  }\n")}(e,t);case 3:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=Gl(n),u=s.newShape,c=s.keptDims,l=u;if(l.length<n.length){var h=vB(e,l),p=["row","col","depth"];return"\n        ".concat(iB(h,t),"\n        float ").concat(a,"(int row, int col, int depth) {\n          return ").concat(a,"(").concat(mB(p,c),");\n        }\n      ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(a,"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3(").concat(i,", ").concat(o,", 1)));\n        ").concat(pB(e),"\n      }\n    ");var d=e.shapeInfo.texShape,f=d[0],v=d[1],m=e.shapeInfo.flatOffset;if(v===i&&null==m)return t?"\n      float ".concat(a,"(int row, int col, int depth) {\n        int stride1 = ").concat(r,"Shape[2];\n        float texR = float(row);\n        float texC = dot(vec2(col, depth), vec2(stride1, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n        float ".concat(a,"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2(").concat(o,", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2(").concat(v,".0, ").concat(f,".0);\n          return sampleTexture(").concat(r,", uv);\n        }\n      ");if(v===o&&null==m)return t?"\n      float ".concat(a,"(int row, int col, int depth) {\n        float texR = dot(vec2(row, col), vec2(").concat(r,"Shape[1], 1));\n        float texC = float(depth);\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n    float ".concat(a,"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2(").concat(n[1],", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(v,".0, ").concat(f,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  ");var g=hB(r);if(t)return"\n    float ".concat(a,"(int row, int col, int depth) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int stride0 = ").concat(r,"Shape[1] * ").concat(r,"Shape[2];\n      int stride1 = ").concat(r,"Shape[2];\n      int index = row * stride0 + col * stride1 + depth + ").concat(g,";\n      vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n      return sampleTexture(").concat(r,", uv);\n    }\n    ");return"\n      float ".concat(a,"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ").concat(i," + col * ").concat(o," + depth + ").concat(g,";\n        vec2 uv = uvFromFlat(").concat(f,", ").concat(v,", index);\n        return sampleTexture(").concat(r,", uv);\n      }\n  ")}(e,t);case 4:return function(e,t){var n=e.shapeInfo.logicalShape,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[3],o=n[2]*i,s=n[1]*o,u=Gl(n),c=u.newShape,l=u.keptDims;if(c.length<n.length){var h=vB(e,c),p=["row","col","depth","depth2"];return"\n      ".concat(iB(h,t),"\n      float ").concat(a,"(int row, int col, int depth, int depth2) {\n        return ").concat(a,"(").concat(mB(p,l),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4(").concat(s,", ").concat(o,", ").concat(i,", 1)));\n        ").concat(pB(e),"\n      }\n    ");var d=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,v=f[0],m=f[1],g="int stride2 = ".concat(r,"Shape[3];"),y="int stride1 = ".concat(r,"Shape[2] * stride2;"),b="int stride0 = ".concat(r,"Shape[1] * stride1;");if(m===s&&null==d)return t?"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        ").concat(g,"\n        ").concat(y,"\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(stride1, stride2, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(").concat(o,", ").concat(i,", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(m,".0, ").concat(v,".0);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");if(m===i&&null==d)return t?"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(").concat(r,"Shape[1] * ").concat(r,"Shape[2], ").concat(r,"Shape[2], 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(").concat(n[1]*n[2],", ").concat(n[2],", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(m,".0, ").concat(v,".0);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");var k=hB(r);if(t)return"\n    float ".concat(a,"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      ").concat(g,"\n      ").concat(y,"\n      ").concat(b,"\n      int index = row * stride0 + col * stride1 +\n          depth * stride2 + depth2;\n      vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index + ").concat(k,");\n      return sampleTexture(").concat(r,", uv);\n    }\n  ");return"\n    float ".concat(a,"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(s," + col * ").concat(o," +\n          depth * ").concat(i," + depth2;\n      vec2 uv = uvFromFlat(").concat(v,", ").concat(m,", index + ").concat(k,");\n      return sampleTexture(").concat(r,", uv);\n    }\n  ")}(e,t);case 5:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],i=t[3]*a,o=t[2]*i,s=t[1]*o,u=Gl(t),c=u.newShape,l=u.keptDims;if(c.length<t.length){var h=vB(e,c),p=["row","col","depth","depth2","depth3"];return"\n      ".concat(iB(h),"\n      float ").concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        return ").concat(r,"(").concat(mB(p,l),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4(").concat(s,", ").concat(o,", ").concat(i,", ").concat(a,")) +\n          depth3;\n        ").concat(pB(e),"\n      }\n    ");var d=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,v=f[0],m=f[1];if(m===s&&null==d)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4(").concat(o,", ").concat(i,", ").concat(a,", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(m,".0, ").concat(v,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(m===a&&null==d)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4(").concat(t[1]*t[2]*t[3],",\n               ").concat(t[2]*t[3],", ").concat(t[3],", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(m,".0, ").concat(v,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");var g=hB(n);return"\n    float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(s," + col * ").concat(o," + depth * ").concat(i," +\n          depth2 * ").concat(a," + depth3 + ").concat(g,";\n      vec2 uv = uvFromFlat(").concat(v,", ").concat(m,", index);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}(e);case 6:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=Gl(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=vB(e,i),u=["row","col","depth","depth2","depth3","depth4"];return"\n      ".concat(iB(s),"\n      float ").concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ").concat(r,"(").concat(mB(u,o),");\n      }\n    ")}var c=t[5],l=t[4]*c,h=t[3]*l,p=t[2]*h,d=t[1]*p;if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4(").concat(d,", ").concat(p,", ").concat(h,", ").concat(l,")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2(").concat(c,", 1)));\n        ").concat(pB(e),"\n      }\n    ");var f=e.shapeInfo.flatOffset,v=e.shapeInfo.texShape,m=v[0],g=v[1];if(g===d&&null==f)return"\n      float ".concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4(").concat(p,", ").concat(h,", ").concat(l,", ").concat(c,")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(g,".0, ").concat(m,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(g===c&&null==f)return"\n      float ".concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4(").concat(t[1]*t[2]*t[3]*t[4],",\n               ").concat(t[2]*t[3]*t[4],",\n               ").concat(t[3]*t[4],",\n               ").concat(t[4],")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(g,".0, ").concat(m,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");var y=hB(n);return"\n    float ".concat(r,"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(d," + col * ").concat(p," + depth * ").concat(h," +\n          depth2 * ").concat(l," + depth3 * ").concat(c," + depth4 + ").concat(y,";\n      vec2 uv = uvFromFlat(").concat(m,", ").concat(g,", index);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}(e);default:throw new Error("".concat(n.length,"-D input sampling")+" is not yet supported")}}function oB(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=JP();return"\n    vec4 ".concat(n,"() {\n      return ").concat(r.texture2D,"(").concat(t,", halfCR);\n    }\n  ")}(e);case 1:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=JP();if(t)return"\n    vec4 ".concat(r,"(int index) {\n      ivec2 packedTexShape = ivec2(ceil(float(").concat(n,"TexShape[0]) / 2.0), ceil(float(").concat(n,"TexShape[1]) / 2.0));\n      vec2 uv = packedUVfrom1D(\n        packedTexShape[0], packedTexShape[1], index);\n      return ").concat(i.texture2D,"(").concat(n,", uv);\n    }\n  ");var o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];return"\n    vec4 ".concat(r,"(int index) {\n      vec2 uv = packedUVfrom1D(\n        ").concat(o[0],", ").concat(o[1],", index);\n      return ").concat(i.texture2D,"(").concat(n,", uv);\n    }\n  ")}(e,t);case 2:return function(e,t){var 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bB(e,t){if(e.length!==t.length)throw Error("Binary was compiled with ".concat(e.length," inputs, but ")+"was executed with ".concat(t.length," inputs"));e.forEach((function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!Ll(r,i))throw Error("Binary was compiled with different shapes than "+"the current args. 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WebGLTexture.")}(e),s=e.TEXTURE_2D;return IP(e,(function(){return e.bindTexture(s,o)})),IP(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)})),IP(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)})),IP(e,(function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)})),IP(e,(function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)})),1===ph().getNumber("WEBGL_VERSION")?IP(e,(function(){return e.texImage2D(s,0,r,t,n,0,a,i,null)})):IP(e,(function(){return e.texStorage2D(s,1,r,t,n)})),IP(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)})),{texture:o,texShape:[n,t]}}function FB(e){return e.internalFormatFloat}function DB(e){return e.internalFormatHalfFloat}function OB(e){return e.downloadTextureFormat}function MB(e){return e.internalFormatPackedFloat}function LB(e){return e.internalFormatPackedHalfFloat}function zB(e,t,n,r,a,i,o,s){var u=e,c=new Float32Array(function(e,t){var n=C(SP(e,t),2);return n[0]*n[1]*4}(i,o));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}var PB=function(){function e(t){M(this,e),this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];var n=ph().getNumber("WEBGL_VERSION");if(null!=t?(this.gl=t,function(e,t){yP[e]=t}(n,t)):this.gl=kP(n),t=this.gl,2===ph().getNumber("WEBGL_VERSION")){var r=t;this.createVertexArray=function(){return IP(r,(function(){return r.createVertexArray()}))},this.bindVertexArray=function(e){return IP(r,(function(){return r.bindVertexArray(e)}))},this.deleteVertexArray=function(e){return IP(r,(function(){return r.deleteVertexArray(e)}))},this.getVertexArray=function(){return IP(r,(function(){return r.getParameter(r.VERTEX_ARRAY_BINDING)}))}}else if(null!=t){var a=t.getExtension("OES_vertex_array_object");if(null==a)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=function(){return IP(t,(function(){return a.createVertexArrayOES()}))},this.bindVertexArray=function(e){return IP(t,(function(){return a.bindVertexArrayOES(e)}))},this.deleteVertexArray=function(e){return IP(t,(function(){return a.deleteVertexArrayOES(e)}))},this.getVertexArray=function(){return IP(t,(function(){return t.getParameter(a.VERTEX_ARRAY_BINDING_OES)}))}}var i="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),1===ph().getNumber("WEBGL_VERSION")){var s="OES_texture_half_float";if(this.textureFloatExtension=EP(this.gl,"OES_texture_float"),jP(this.gl,s))this.textureHalfFloatExtension=EP(this.gl,s);else if(ph().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(i),jP(this.gl,o))this.colorBufferHalfFloatExtension=EP(this.gl,o);else if(ph().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(i="EXT_color_buffer_float",jP(this.gl,i))this.colorBufferFloatExtension=this.gl.getExtension(i);else{if(!jP(this.gl,o))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(o)}this.vertexBuffer=_B(this.gl),this.indexBuffer=RB(this.gl),this.framebuffer=function(e){return PP(e,(function(){return e.createFramebuffer()}),"Unable to create WebGLFramebuffer.")}(this.gl),this.textureConfig=NP(this.gl,this.textureHalfFloatExtension)}return P(e,[{key:"debug",get:function(){return ph().getBool("DEBUG")}},{key:"dispose",value:function(){var e=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;IP(t,(function(){return t.finish()})),IP(t,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),IP(t,(function(){return t.deleteFramebuffer(e.framebuffer)})),IP(t,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),IP(t,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),IP(t,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}}},{key:"createFloat32MatrixTexture",value:function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=C(xP(t,n),2);return AB(e,a[0],a[1],FB(r),r.textureFormatFloat,e.FLOAT)}(this.gl,e,t,this.textureConfig)}},{key:"createFloat16MatrixTexture",value:function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=C(xP(t,n),2);return AB(e,a[0],a[1],DB(r),r.textureFormatFloat,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)}},{key:"createUnsignedBytesMatrixTexture",value:function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=C(xP(t,n),2);return AB(e,a[0],a[1],OB(r),e.RGBA,e.UNSIGNED_BYTE)}(this.gl,e,t,this.textureConfig)}},{key:"uploadPixelDataToTexture",value:function(e,t){this.throwIfDisposed(),function(e,t,n){IP(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),n.data instanceof Uint8Array?2===ph().getNumber("WEBGL_VERSION")?IP(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)})):IP(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)})):2===ph().getNumber("WEBGL_VERSION")?IP(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)})):IP(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)})),IP(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}(this.gl,e,t)}},{key:"uploadDenseMatrixToTexture",value:function(e,t,n,r){this.throwIfDisposed(),function(e,t,n,r,a,i){var o,s,u;IP(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),a instanceof Uint8Array?(o=new Uint8Array(n*r*4),s=e.UNSIGNED_BYTE,u=e.RGBA):(o=new Float32Array(n*r*4),s=e.FLOAT,u=i.internalFormatPackedFloat),o.set(a),2===ph().getNumber("WEBGL_VERSION")?IP(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,r,e.RGBA,s,o)})):IP(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,u,n,r,0,e.RGBA,s,o)})),IP(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}(this.gl,e,t,n,r,this.textureConfig)}},{key:"createFloat16PackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=C(SP(t,n),2);return AB(e,a[0],a[1],LB(r),e.RGBA,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)}},{key:"createPackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=C(SP(t,n),2);return AB(e,a[0],a[1],MB(r),e.RGBA,e.FLOAT)}(this.gl,e,t,this.textureConfig)}},{key:"deleteMatrixTexture",value:function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(LP(this.gl,this.framebuffer),this.outputTexture=null),IP(this.gl,(function(){return t.gl.deleteTexture(e)}))}},{key:"downloadByteEncodedFloatMatrixFromOutputTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return function(e,t,n,r){var a=C(xP(t,n),2),i=a[0],o=a[1],s=new Uint8Array(t*n*4);return IP(e,(function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)})),new Float32Array(s.buffer)}(r.gl,t,n,r.textureConfig)}))}},{key:"downloadPackedMatrixFromBuffer",value:function(e,t,n,r,a,i){return zB(this.gl,e,0,0,0,a,i,this.textureConfig)}},{key:"downloadFloat32MatrixFromBuffer",value:function(e,t){return function(e,t,n){var r=e,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}(this.gl,e,t)}},{key:"createBufferFromTexture",value:function(e,t,n){this.bindTextureToFrameBuffer(e);var r=function(e,t,n,r){var a=e.createBuffer();IP(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,a)}));var i=16*t*n;return IP(e,(function(){return e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)})),IP(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)})),IP(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,null)})),a}(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r}},{key:"createAndWaitForFence",value:function(){var e=this.createFence(this.gl);return this.pollFence(e)}},{key:"createFence",value:function(e){var t,n,r=this;if(ph().getBool("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}}},{key:"downloadMatrixFromPackedTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return function(e,t,n){var r=new Float32Array(t*n*4);return IP(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)})),r}(r.gl,t,n)}))}},{key:"createProgram",value:function(e){var t=this;this.throwIfDisposed();var n=this.gl;null==this.vertexShader&&(this.vertexShader=CB(n));var r=function(e){return PP(e,(function(){return e.createProgram()}),"Unable to create WebGLProgram.")}(n);IP(n,(function(){return n.attachShader(r,t.vertexShader)})),IP(n,(function(){return n.attachShader(r,e)})),function(e,t){if(IP(e,(function(){return e.linkProgram(t)})),!ph().get("ENGINE_COMPILE_ONLY")&&!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}(n,r);var a=Object.assign(r,{vao:this.createVertexArray()});return this.debug&&FP(n,a),a}},{key:"buildVao",value:function(e){var t=this;this.setProgram(e),this.bindVertexArray(e.vao);var n=this.gl;IP(n,(function(){return n.bindBuffer(n.ELEMENT_ARRAY_BUFFER,t.indexBuffer)})),function(e,t,n){IP(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),DP(e,t,"clipSpacePos",n,3,20,0)&&DP(e,t,"uv",n,2,20,12)}(n,e,this.vertexBuffer)}},{key:"deleteProgram",value:function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&(IP(this.gl,(function(){return t.gl.deleteProgram(e)})),this.deleteVertexArray(e.vao))}},{key:"setProgram",value:function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&FP(this.gl,this.program),IP(this.gl,(function(){return t.gl.useProgram(e)}))}},{key:"getUniformLocation",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];return this.throwIfDisposed(),n?function(e,t,n){return PP(e,(function(){return e.getUniformLocation(t,n)}),'uniform "'+n+'" not present in program.')}(this.gl,e,t):function(e,t,n){return e.getUniformLocation(t,n)}(this.gl,e,t)}},{key:"getAttributeLocation",value:function(e,t){var n=this;return this.throwIfDisposed(),IP(this.gl,(function(){return n.gl.getAttribLocation(e,t)}))}},{key:"getUniformLocationNoThrow",value:function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}},{key:"setInputMatrixTexture",value:function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),OP(this.gl,e,t,n)}},{key:"setOutputMatrixTexture",value:function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}},{key:"setOutputPackedMatrixTexture",value:function(e,t,n){this.throwIfDisposed();var r=C(SP(t,n),2),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)}},{key:"setOutputMatrixWriteRegion",value:function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)}},{key:"setOutputPackedMatrixWriteRegion",value:function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}},{key:"debugValidate",value:function(){null!=this.program&&FP(this.gl,this.program),zP(this.gl)}},{key:"executeProgram",value:function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;if(this.debug){var t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}IP(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))}},{key:"blockUntilAllProgramsCompleted",value:function(){var e=this;this.throwIfDisposed(),IP(this.gl,(function(){return e.gl.finish()}))}},{key:"getQueryTimerExtension",value:function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=EP(this.gl,2===ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}},{key:"getQueryTimerExtensionWebGL2",value:function(){return this.getQueryTimerExtension()}},{key:"getQueryTimerExtensionWebGL1",value:function(){return this.getQueryTimerExtension()}},{key:"beginQuery",value:function(){if(2===ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a}},{key:"endQuery",value:function(){if(2!==ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}}},{key:"waitForQueryAndGetTime",value:function(){var e=D(A().mark((function e(t){var n=this;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,Wl((function(){return n.disposed||n.isQueryAvailable(t,ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getQueryTime",value:function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6}},{key:"isQueryAvailable",value:function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}var i=this.getQueryTimerExtensionWebGL1(),o=i.getQueryObjectEXT(e,i.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),o&&!this.disjoint}},{key:"pollFence",value:function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))}},{key:"pollItems",value:function(){for(var e=function(e){for(var t=0;t<e.length;++t){if(!e[t]())break}return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}},{key:"addItemToPoll",value:function(e,t){var n=this;if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),!(this.itemsToPoll.length>1)){var r=void 0;"setTimeoutCustom"in ph().platform&&(r=ph().platform.setTimeoutCustom.bind(ph().platform)),Wl((function(){return n.pollItems(),0===n.itemsToPoll.length}),(function(){return 0}),null,r)}}},{key:"bindTextureToFrameBuffer",value:function(e){this.throwIfDisposed(),MP(this.gl,e,this.framebuffer),this.debug&&zP(this.gl)}},{key:"unbindTextureToFrameBuffer",value:function(){null!=this.outputTexture?(MP(this.gl,this.outputTexture,this.framebuffer),this.debug&&zP(this.gl)):LP(this.gl,this.framebuffer)}},{key:"downloadMatrixDriver",value:function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n}},{key:"setOutputMatrixTextureDriver",value:function(e,t,n){this.throwIfDisposed();var r=this.gl;MP(r,e,this.framebuffer),this.debug&&zP(r),this.outputTexture=e,IP(r,(function(){return r.viewport(0,0,t,n)})),IP(r,(function(){return r.scissor(0,0,t,n)}))}},{key:"setOutputMatrixWriteRegionDriver",value:function(e,t,n,r){var a=this;this.throwIfDisposed(),IP(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))}},{key:"throwIfDisposed",value:function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}},{key:"throwIfNoProgram",value:function(){if(null==this.program)throw new Error("No GPU program is currently set.")}}]),e}();var BB=SF,WB=vD,UB=mD,VB=yD,GB=yF,HB=xD,jB=ED,KB=hO,qB=mO,XB=xO,YB=PO,QB=KO,JB=XO,ZB=QO,$B=$O,eW=cM,tW=pM,nW=vM,rW=gM,aW=FM,iW=MM,oW=jM,sW=rO,uW=tL,cW=cL,lW=wL,hW=EL,pW=RL,dW=LL,fW=PL,vW=QL,mW=$L,gW=cF,yW=FF,bW=hD,kW=gz,xW=bz,wW=xz,SW=Tz,NW=Dz,IW=Pz,TW=Uz,EW=Hz,CW=Kz,_W=EO,RW=Zz,AW=nP,FW=BF,DW=cP;function OW(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return"".concat(e,".").concat(t)}))}function MW(e,t){return 1===t?[e]:OW(e,t)}var LW=function(){function e(t){if(M(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.enableShapeUniforms=kB(this.outputShape.length),0===this.rank)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=MW("rc",this.rank),r=dB(this.rank),a=this.getOutOfBoundsCondition(n),i=this.getSetup(n),o=this.getOutput(n);this.userCode="\n        void main() {\n          ".concat(r," rc = getOutputCoords();\n\n          if(").concat(a,") {\n            setOutput(vec4(0));\n          } else {\n            ").concat(i,"\n\n            setOutput(vec4(").concat(o,"));\n          }\n        }\n      ")}}return P(e,[{key:"getSourceCoordsArr",value:function(e){for(var t=[],n=0;n<=1;n++)for(var r=0;r<=1;r++){for(var a="".concat(0===n?"r":"rp1",", ").concat(0===r?"c":"cp1"),i=2;i<this.rank;i++)a="".concat(e[e.length-1-i],",")+a;t.push(a)}return t}},{key:"getOutOfBoundsCondition",value:function(e){if(1===this.rank)return"rc > ".concat(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",n=this.rank-2;n<this.rank;n++)t+="".concat(e[n]," >= ").concat(this.enableShapeUniforms?"outShape[".concat(n,"]"):this.outputShape[n]),n<this.rank-1&&(t+="||");return t}},{key:"getSetup",value:function(e){if(1===this.rank)return"";var t=e.slice(-2),n=this.enableShapeUniforms?"outShape[".concat(this.rank," - 1]"):this.outputShape[this.rank-1],r=this.enableShapeUniforms?"outShape[".concat(this.rank," - 2]"):this.outputShape[this.rank-2];return"\n      int r = ".concat(t[0],";\n      int c = ").concat(t[1],";\n      int rp1 = r + 1;\n      int cp1 = c + 1;\n\n      bool cEdge = cp1 >= ").concat(n,";\n      bool rEdge = rp1 >= ").concat(r,";\n    ")}},{key:"getOutput",value:function(e){var t=this.getSourceCoordsArr(e);if(1===this.rank){var n=this.enableShapeUniforms?"outShape":this.outputShape[0];return"getA(rc), (rc + 1 >= ".concat(n," ? 0. : getA(rc + 1)), 0, 0")}return"getA(".concat(t[0],"),\n            cEdge ? 0. : getA(").concat(t[1],"),\n            rEdge ? 0. : getA(").concat(t[2],"),\n            rEdge || cEdge ? 0. : getA(").concat(t[3],")")}}]),e}(),zW=P((function e(t,n){M(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=kB(this.outputShape.length);for(var r="",a=0;a<4;a++){var i="thisRC = rc;";a%2===1&&(i+="thisRC.z += 1;"),a>1&&(i+="thisRC.y += 1;"),r+="\n        ".concat(i,"\n        ").concat(a>0?"if(thisRC.y < rows && thisRC.z < cols){":"","\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[").concat(a,"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ").concat(a>0?"}":"","\n      ")}this.userCode="\n      ".concat(function(e,t){var n=t?eB(["r","c","d"],"inputShape"):ZP(["r","c","d"],e);return"\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ".concat(n,"\n      return ivec3(r, c, d);\n    }\n  ")}(n,this.enableShapeUniforms),"\n      ").concat(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":tB(t),"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ").concat(this.enableShapeUniforms?"outShape[1]":t[1],";\n        int cols = ").concat(this.enableShapeUniforms?"outShape[2]":t[2],";\n\n        ").concat(r,"\n\n        setOutput(result);\n      }\n    ")}));var PW=function(){function e(t){M(this,e),this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}return P(e,[{key:"acquireTexture",value:function(e,t,n){var r=WW(t,n),a=UW(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=BW(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var s=this.freeTextures[a].pop();return this.usedTextures[a].push(s),s}return r===gP.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===gP.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===gP.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===gP.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===gP.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=o,this.log(),i}},{key:"releaseTexture",value:function(e,t,n,r){if(null!=this.freeTextures){var a=WW(n,r),i=UW(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=BW(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=ph().getNumber("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==s&&this._numBytesAllocated>s?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=o):(this.freeTextures[i].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[i],c=u&&u.indexOf(e);if(null==c||c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u[c]=u[u.length-1],u.pop(),this.log()}}},{key:"log",value:function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used","".concat(this.numFreeTextures," / ").concat(this.numUsedTextures),"(".concat(e,")"));var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: ".concat(this._numBytesAllocated)),console.log("Bytes unused: ".concat(this._numBytesFree," (").concat(Math.round(100*t),"%)"))}}},{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}},{key:"getNumUsedTextures",value:function(){return this.numUsedTextures}},{key:"getNumFreeTextures",value:function(){return this.numFreeTextures}},{key:"dispose",value:function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));for(var n in this.usedTextures)this.usedTextures[n].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}]),e}();function BW(e,t,n,r,a){var i,o=function(e,t){switch(e){case gP.PACKED_2X2_FLOAT32:return MB(t);case gP.PACKED_2X2_FLOAT16:return LB(t);case gP.UNPACKED_FLOAT32:return FB(t);case gP.UNPACKED_FLOAT16:return DB(t);case gP.PACKED_4X1_UNSIGNED_BYTE:return OB(t);default:throw new Error("Unknown physical texture type ".concat(e))}}(t,r);if(a){var s=C(SP(e[0],e[1]),2);i=s[0]*s[1]}else{var u=C(xP(e[0],e[1]),2);i=u[0]*u[1]}var c=function(e,t){var n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error("Unknown internal format ".concat(t))}(n,o);return i*c}function WW(e,t){if(e===mP.UPLOAD)return gP.PACKED_2X2_FLOAT32;if(e===mP.RENDER||null==e)return function(e){return ph().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?gP.PACKED_2X2_FLOAT32:gP.UNPACKED_FLOAT32:e?gP.PACKED_2X2_FLOAT16:gP.UNPACKED_FLOAT16}(t);if(e===mP.DOWNLOAD||e===mP.PIXELS)return gP.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type ".concat(e))}function UW(e,t,n){return"".concat(e[0],"_").concat(e[1],"_").concat(t,"_").concat(n)}var VW=P((function e(t,n){M(this,e),this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=kB(this.outputShape.length),this.userCode="\n      float unaryOperation(float x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),GW="if (isnan(x)) return x;",HW="return x;",jW="return abs(x);";var KW="return (x >= 0.0) ? x : (exp(x) - 1.0);",qW=GW+"\n  return (x < 0.0) ? 0.0 : x;\n",XW=GW+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",YW="return x;",QW="return 1.0 / (1.0 + exp(-1.0 * x));",JW="return x;",ZW="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",$W="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",eU="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",tU="return 1.0 / (1.0 + exp(-1.0 * x));",nU=P((function e(t,n){M(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=kB(this.outputShape.length),this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),rU=P((function e(t){M(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=kB(this.outputShape.length);var n=t.length,r=MW("rc",n),a=dB(n),i=function(e,t){if(1===e)return"rc";for(var n="",r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}(n,r),o=r.slice(-2),s=n<=1?"rc":"vec2(".concat(o.join(","),")");this.userCode="\n      void main() {\n        ".concat(a," rc = getOutputCoords();\n        vec4 packedInput = getA(").concat(i,");\n\n        setOutput(getChannel(packedInput, ").concat(s,"));\n      }\n    ")})),aU=Nw,iU={};var oU=ph().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var sU=function(e){je(n,e);var t=Ye(n);function n(e){var r,a,i;if(M(this,n),(r=t.call(this)).pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.lastGlFlushTime=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!ph().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=e){if(e instanceof PB)a=e;else{var o=kP(ph().getNumber("WEBGL_VERSION"),e);a=new PB(o)}r.binaryCache={},r.gpgpuCreatedLocally=!1}else{var s=kP(ph().getNumber("WEBGL_VERSION"));a=new PB(s),r.binaryCache=((i=ph().getNumber("WEBGL_VERSION"))in iU||(iU[i]={}),iU[i]),r.gpgpuCreatedLocally=!0}return r.gpgpu=a,r.canvas=r.gpgpu.gl.canvas,r.textureManager=new PW(r.gpgpu),r.numMBBeforeWarning=null==ph().global.screen?1024:ph().global.screen.height*ph().global.screen.width*window.devicePixelRatio*600/1024/1024,r.texData=new Nl(Xe(r),hg()),r}return P(n,[{key:"nextDataId",value:function(){return n.nextDataId++}},{key:"numDataIds",value:function(){return this.texData.numDataIds()-this.pendingDeletes}},{key:"writeTexture",value:function(e,t,n,r,a,i){var o=this.makeTensorInfo(t,n),s=this.texData.get(o.dataId);s.isPacked=!1,s.texture={texture:e,texShape:[r,a]},s.texShape=[r,a];var u=VP(t),c=new TB(u,!1,i),l=this.runWebGLProgram(c,[o],n,[[r,a]]);return l.shape=t,s.texture=null,this.disposeIntermediateTensorInfo(o),l.dataId}},{key:"write",value:function(e,t,n){if((ph().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||ph().getBool("DEBUG"))&&this.checkNumericalProblems(e),"complex64"===n&&null!=e)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={id:this.nextDataId()};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:mP.UPLOAD,refCount:1}),r}},{key:"refCount",value:function(e){return this.texData.has(e)?this.texData.get(e).refCount:0}},{key:"incRef",value:function(e){this.texData.get(e).refCount++}},{key:"decRef",value:function(e){this.texData.has(e)&&this.texData.get(e).refCount--}},{key:"move",value:function(e,t,n,r,a){if(ph().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:mP.UPLOAD,refCount:a})}},{key:"disposeIntermediateTensorInfo",value:function(e){this.disposeData(e.dataId)}},{key:"readSync",value:function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,a=t.complexTensorInfos,i=t.slice,o=t.shape,s=t.isPacked;if(null!=i){var u;u=s?new nU(o,YW):new VW(o,YW);var c=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),l}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var h,p,d=null!=this.activeTimers;(d&&(h=Zf()),"complex64"===r)?p=aw(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):p=this.getValuesFromTexture(e);return d&&(this.downloadWaitMs+=Zf()-h),this.convertAndCacheOnCPU(e,p)}},{key:"read",value:function(){var e=D(A().mark((function e(t){var n,r,a,i,o,s,u,c,l,h,p,d,f,v,m,g,y,b,k,x,w,S,N;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.pendingRead.has(t)){e.next=3;break}return n=this.pendingRead.get(t),e.abrupt("return",new Promise((function(e){return n.push(e)})));case 3:if(r=this.texData.get(t),a=r.values,i=r.shape,o=r.slice,s=r.dtype,u=r.complexTensorInfos,c=r.isPacked,null==o){e.next=11;break}return l=c?new nU(i,YW):new VW(i,YW),h=this.runWebGLProgram(l,[{dataId:t,shape:i,dtype:s}],s),p=this.read(h.dataId),this.disposeIntermediateTensorInfo(h),e.abrupt("return",p);case 11:if(null==a){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!ph().getBool("DEBUG")){e.next=16;break}if(ph().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==ph().getNumber("WEBGL_VERSION")){e.next=16;break}throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");case 16:if(d=null,"complex64"!==s&&ph().get("WEBGL_BUFFER_SUPPORTED")&&(f=this.decode(t),m=this.texData.get(f.dataId),d=(v=this.gpgpu).createBufferFromTexture.apply(v,[m.texture.texture].concat(_(wP(i))))),this.pendingRead.set(t,[]),"complex64"===s){e.next=22;break}return e.next=22,this.gpgpu.createAndWaitForFence();case 22:if("complex64"!==s){e.next=31;break}return e.next=25,Promise.all([this.read(u.real.dataId),this.read(u.imag.dataId)]);case 25:y=e.sent,b=y[0],k=y[1],g=aw(b,k),e.next=32;break;case 31:null==d?g=this.getValuesFromTexture(t):(x=Ml(i),g=this.gpgpu.downloadFloat32MatrixFromBuffer(d,x));case 32:return null!=f&&this.disposeIntermediateTensorInfo(f),null!=d&&IP(w=this.gpgpu.gl,(function(){return w.deleteBuffer(d)})),S=this.convertAndCacheOnCPU(t,g),N=this.pendingRead.get(t),this.pendingRead.delete(t),N.forEach((function(e){return e(S)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&hg().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",S);case 40:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"readToGPU",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=this.texData.get(e),r=n.values,a=n.shape,i=n.slice,o=n.dtype,s=n.isPacked,u=n.texture;if("complex64"===o)throw new Error("Does not support reading texture for complex64 dtype.");if(null!=i){var c;c=s?new nU(a,YW):new VW(a,YW);var l=this.runWebGLProgram(c,[{dataId:e,shape:a,dtype:o}],o),h=this.readToGPU(l,t);return this.disposeIntermediateTensorInfo(l),h}if(null==u)throw null!=r?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");var p=this.decode(e,t.customTexShape),d=hg().makeTensorFromTensorInfo(p),f=this.texData.get(p.dataId);return Object.assign({tensorRef:d},f.texture)}},{key:"bufferSync",value:function(e){var t=this.readSync(e.dataId);if("string"===e.dtype)try{var n=t.map((function(e){return ev(e)}));return sg(e.shape,e.dtype,n)}catch(r){throw new Error("Failed to decode encoded string bytes into utf-8")}return sg(e.shape,e.dtype,t)}},{key:"checkNumericalProblems",value:function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!TP(n)){if(ph().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value ".concat(n," cannot be represented with your ")+"current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value ".concat(n," cannot be represented on this device."))}}}},{key:"getValuesFromTexture",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.isPacked,i=Ml(n);if(ph().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(e),u=this.texData.get(s.dataId),c=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture.texture].concat(_(wP(n)))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),c}var l=ph().getBool("WEBGL_PACK")&&!0===a,h=l?VP(n):n,p=l?new NB(h):new SB(h),d=this.runWebGLProgram(p,[{shape:h,dtype:r,dataId:e}],"float32"),f=this.texData.get(d.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(f.texture.texture,f.texShape[0],f.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(d),v}},{key:"timerAvailable",value:function(){return ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0}},{key:"time",value:function(e){var t=this,n=this.activeTimers,r=[],a=!1;null==this.programTimersStack?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e();var i=nv(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),o=nv(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e}));this.activeTimers=n,a&&(this.programTimersStack=null);var s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return D(A().mark((function e(){var n;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=8;break}return e.next=3,Promise.all(i);case 3:n=e.sent,s.kernelMs=Al(n),s.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:o[t],ms:e}})).map((function(e){return"".concat(e.name,": ").concat(e.ms)})).join(", ")},e.next=9;break;case 8:s.kernelMs={error:"WebGL query timers are not supported in this environment."};case 9:return t.uploadWaitMs=0,t.downloadWaitMs=0,e.abrupt("return",s);case 12:case"end":return e.stop()}}),e)})))()}},{key:"memory",value:function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}},{key:"startTimer",value:function(){return ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:Zf(),endMs:null}}},{key:"endTimer",value:function(e){return ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=Zf(),e)}},{key:"getQueryTime",value:function(){var e=D(A().mark((function e(t){var n;return A().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(ph().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=2;break}return e.abrupt("return",this.gpgpu.waitForQueryAndGetTime(t));case 2:return n=t,e.abrupt("return",n.endMs-n.startMs);case 4:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"disposeData",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);var n=this.texData.get(e).complexTensorInfos;return null!=n&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0}},{key:"releaseGPUData",value:function(e){var t=this.texData.get(e),n=t.texture,r=t.dtype,a=t.texShape,i=t.usage,o=t.isPacked,s=t.slice,u=s&&s.origDataId||e,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var l=this.texData.get(e);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null}},{key:"getTexture",value:function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}},{key:"getDataInfo",value:function(e){return this.texData.get(e)}},{key:"shouldExecuteOnCPU",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:oU;return ph().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==t.texData.get(e.dataId).texture&&Ml(e.shape)<n}))}},{key:"getGPGPUContext",value:function(){return this.gpgpu}},{key:"where",value:function(e){Ef("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return aU(e.shape,t)}},{key:"packedUnaryOp",value:function(e,t,n){var r=new nU(e.shape,t),a=this.compileAndRun(r,[e],n);return hg().makeTensorFromTensorInfo(a)}},{key:"abs",value:function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=yW(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(ph().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,jW,e.dtype);var n=new VW(e.shape,jW),r=this.compileAndRun(n,[e]);return hg().makeTensorFromTensorInfo(r)}},{key:"makeTensorInfo",value:function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&Xl(n[0])){var a=n.map((function(e){return $f(e)}));r=this.write(a,e,t)}else r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}}},{key:"makeOutput",value:function(e,t,n){return hg().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}},{key:"unpackTensor",value:function(e){var t=new rU(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}},{key:"packTensor",value:function(e){var t=new LW(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}},{key:"packedReshape",value:function(e,t){var n=[WP(e.shape)].concat(_(UP(e.shape))),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[WP(t)].concat(_(UP(t))),i=new zW(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}}},{key:"decode",value:function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&Fl(Ml(a)<=t[0]*t[1]*4,(function(){return"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data."}));var o,s=VP(a);o=r?new wB(s):new xB(s);var u=[null!=t?t:wP(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}}},{key:"runWebGLProgram",value:function(e,t,n,r){var a=this,i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5?arguments[5]:void 0,s=this.makeTensorInfo(e.outputShape,n),u=this.texData.get(s.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===vP.DENSE){var c=null!=o?o:wP(e.outputShape);u.texShape=c.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===Ml(s.shape))return u.values=Hl(s.dtype,0),s;var l=[],h=t.map((function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=a.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&Ml(t.shape)<=ph().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:n.values};e.packedInputs&&(n.isPacked=!0,n.shape=t.shape)}if(a.uploadToGPU(t.dataId),!!n.isPacked!==!!e.packedInputs)t=n.isPacked?a.unpackTensor(t):a.packTensor(t),l.push(t),n=a.texData.get(t.dataId);else if(n.isPacked&&!HP(n.shape,t.shape)){var r=t,i=t.shape;t.shape=n.shape,t=a.packedReshape(t,i),l.push(t),n=a.texData.get(t.dataId),r.shape=i}return{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var p,d={shape:s.shape,texData:u,isUniform:!1},f=function(e,t,n){var r="";t.concat(n).forEach((function(t){var a=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0;if(e.enableShapeUniforms&&!t.isUniform){var i=t.texData.texShape,o=fB(e.packedInputs,t.shape,i),s=o.useSqueezeShape,u=o.uniformShape,c=o.keptDims,l="",h="",p="";if(1===u.length&&e.packedInputs){var d=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];l="".concat(d[0]>1,"_").concat(d[1]>1)}else if(2!==u.length||e.packedInputs){if(u.length>2&&!e.packedInputs){var f=$l(u);p="".concat(f[0]===i[1],"_").concat(f[f.length-1]===i[1])}}else h="".concat(u[0]>1,"_").concat(u[1]>1);var v=t.shape.length,m=2===u.length&&Ll(t.shape,i),g=1===Ml(t.shape),y=Bg(t.shape,n.shape),b=!e.packedInputs&&v===n.shape.length&&Ll(i,n.texData.texShape),k=e.packedInputs||u.length>2?"":"".concat(i[0]>1,"_").concat(i[1]>1);r+="".concat(v,"_").concat(b,"_").concat(s?c:"","_").concat(u.length,"_").concat(g,"_").concat(y,"_").concat(m,"_").concat(l,"_").concat(h,"_").concat(p,"_").concat(k,"_").concat(a)}else{var x=t.isUniform?"uniform":t.texData.texShape;r+="".concat(t.shape,"_").concat(x,"_").concat(a)}}));var a=e.userCode,i=e.constructor.name;return i+"_"+r+"_"+a+"".concat(ph().getNumber("WEBGL_VERSION"))}(e,h,d),v=this.getAndSaveBinary(f,(function(){return gB(a.gpgpu,e,h,d)})),m=null!=this.activeTimers;m&&(p=this.startTimer()),ph().get("ENGINE_COMPILE_ONLY")||function(e,t,n,r,a){t.program.enableShapeUniforms||(bB(t.inShapeInfos,n),bB([t.outShapeInfo],[r]));var i=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(i.texture,o[0],o[1]):e.setOutputMatrixTexture(i.texture,o[0],o[1]),e.setProgram(t.webGLProgram),e.bindVertexArray(t.webGLProgram.vao),1===ph().getNumber("WEBGL_VERSION")&&null!==t.infLoc&&e.gl.uniform1f(t.infLoc,1/0),null!==t.nanLoc&&e.gl.uniform1f(t.nanLoc,NaN);for(var s=0;s<n.length;++s){var u=n[s],c=t.variablesLocations[s],l=c.uniform,h=c.offset,p=c.shape,d=c.texShape;if(p){var f=fB(t.program.packedInputs,u.shape,u.texData.texShape).uniformShape;switch(f.length){case 1:e.gl.uniform1iv(p,new Int32Array(f));break;case 2:e.gl.uniform2iv(p,new Int32Array(f));break;case 3:e.gl.uniform3iv(p,new Int32Array(f));break;case 4:e.gl.uniform4iv(p,new Int32Array(f))}}if(d&&e.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),null!=l)if(u.isUniform)if(Ml(u.shape)<2)e.gl.uniform1f(l,u.uniformValues[0]);else{var v=u.uniformValues;v instanceof Float32Array||(v=new Float32Array(v)),e.gl.uniform1fv(l,v)}else null!=u.texData.slice&&null!=h&&e.gl.uniform1i(h,u.texData.slice.flatOffset),e.setInputMatrixTexture(u.texData.texture.texture,l,s)}var m=t.outShapeLocation;if(m)switch(r.shape.length){case 1:e.gl.uniform1iv(m,new Int32Array(r.shape));break;case 2:e.gl.uniform2iv(m,new Int32Array(r.shape));break;case 3:e.gl.uniform3iv(m,new Int32Array(r.shape));break;case 4:e.gl.uniform4iv(m,new Int32Array(r.shape))}if(t.outShapeStridesLocation){var g=$l(r.shape);switch(r.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(g));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(g));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(g))}}if(t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,r.texData.texShape[0],r.texData.texShape[1]),t.program.customUniforms&&a)for(var y=0;y<t.program.customUniforms.length;++y){var b=t.program.customUniforms[y],k=t.customUniformLocations[y],x=a[y];if("float"===b.type)e.gl.uniform1fv(k,x);else if("vec2"===b.type)e.gl.uniform2fv(k,x);else if("vec3"===b.type)e.gl.uniform3fv(k,x);else if("vec4"===b.type)e.gl.uniform4fv(k,x);else if("int"===b.type)e.gl.uniform1iv(k,x);else if("ivec2"===b.type)e.gl.uniform2iv(k,x);else if("ivec3"===b.type)e.gl.uniform3iv(k,x);else{if("ivec4"!==b.type)throw Error("uniform type ".concat(b.type," is not supported yet."));e.gl.uniform4iv(k,x)}}e.executeProgram()}(this.gpgpu,v,h,d,r),l.forEach((function(e){return a.disposeIntermediateTensorInfo(e)})),m&&(p=this.endTimer(p),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(p)}));var g=ph().getNumber("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=Zf();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!ph().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===i){var b=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),b}return s}},{key:"compileAndRun",value:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]&&arguments[4];return n=n||t[0].dtype,this.runWebGLProgram(e,t,n,r,a)}},{key:"getAndSaveBinary",value:function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}},{key:"getTextureManager",value:function(){return this.textureManager}},{key:"dispose",value:function(){var e=this;if(!this.disposed){if(!ph().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}));this.textureManager.dispose(),null!=this.canvas&&"undefined"!==typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}}},{key:"floatPrecision",value:function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=dg((function(){if(!ph().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=ph().getBool("DEBUG");ph().set("DEBUG",!1);var n=e.abs(Ig(1e-8)).dataSync()[0];if(ph().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue}},{key:"epsilon",value:function(){return 32===this.floatPrecision()?1e-7:1e-4}},{key:"uploadToGPU",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.values,i=t.texture,o=t.usage,s=t.isPacked;if(null==i){var u,c=null!=this.activeTimers;c&&(u=Zf());var l=t.texShape;if(null==l&&(l=function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=ph().getNumber("WEBGL_MAX_TEXTURE_SIZE"),r=ph().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");if(r===1/0&&ph().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(r=n/2),t&&(n*=2,r*=2,1===(e=e.map((function(t,n){return n>=e.length-2?_l(e[n]):e[n]}))).length&&(e=[2,e[0]])),2!==e.length){var a=Gl(e);e=a.newShape}var i=Ml(e),o=null;e.length<=1&&i<=n?o=[1,i]:2===e.length&&e[0]<=n&&e[1]<=n?o=e:3===e.length&&e[0]*e[1]<=n&&e[2]<=n?o=[e[0]*e[1],e[2]]:3===e.length&&e[0]<=n&&e[1]*e[2]<=n?o=[e[0],e[1]*e[2]]:4===e.length&&e[0]*e[1]*e[2]<=n&&e[3]<=n?o=[e[0]*e[1]*e[2],e[3]]:4===e.length&&e[0]<=n&&e[1]*e[2]*e[3]<=n&&(o=[e[0],e[1]*e[2]*e[3]]);var s=null!=o&&Math.max.apply(Math,_(o))>r&&Math.min.apply(Math,_(o))<=(t?2:1)&&Math.min.apply(Math,_(o))>0;if(null==o||s)if(t){var u=WP(e),c=2,l=2;if(e.length){var h=C(UP(e),2);c=h[0],l=h[1]}o=Pl(i=u*(c/2)*(l/2)).map((function(e){return 2*e}))}else o=Pl(i);return o}(n,s),t.texShape=l),null!=a){var h,p=VP(n),d=l[1],f=l[0],v=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!v){var m=C(SP(l[0],l[1]),2);d=m[0],f=m[1]}h=s?new EB(p,v):new TB(p,v);var g=v?[f,d]:l,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=v?mP.PIXELS:mP.UPLOAD,b.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),d,f,a);var k=[[f,d]],x=this.runWebGLProgram(h,[y],r,k,!0),w=this.texData.get(x.dataId);t.texShape=w.texShape,t.isPacked=w.isPacked,t.usage=w.usage,ph().get("ENGINE_COMPILE_ONLY")?this.disposeData(x.dataId):(t.texture=w.texture,t.values=null,this.texData.delete(x.dataId)),this.disposeIntermediateTensorInfo(y),c&&(this.uploadWaitMs+=Zf()-u)}else{var S=this.acquireTexture(l,o,r,s);t.texture=S}}}},{key:"convertAndCacheOnCPU",value:function(e,t){var n=this.texData.get(e),r=n.dtype;return null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new 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0:if(!this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)){e.next=4;break}return e.abrupt("return",this.checkCompletion_(t));case 4:return e.next=6,zx();case 6:return e.abrupt("return",this.checkCompletionAsync_(t));case 7:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"checkCompletion_",value:function(e){if(!1===this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)){if(console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),!1===this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS))throw AP(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.");throw new Error("Failed to link vertex and fragment shaders.")}return!0}},{key:"getUniformLocations",value:function(){for(var e=0,t=Object.values(this.binaryCache);e<t.length;e++){var n=t[e];this.gpgpu.buildVao(n.webGLProgram);var r=yB(this.gpgpu,n.program,n.webGLProgram),a=r.variablesLocations,i=r.customUniformLocations,o=r.infLoc,s=r.nanLoc,u=r.outShapeLocation,c=r.outShapeStridesLocation,l=r.outTexShapeLocation;n.variablesLocations=a,n.customUniformLocations=i,n.infLoc=o,n.nanLoc=s,n.outShapeLocation=u,n.outShapeStridesLocation=c,n.outTexShapeLocation=l}}},{key:"createTensorFromGPUData",value:function(e,t,n){e.channels=e.channels||"RGBA";var r=e.texture,a=e.height,i=e.width,o=e.channels,s=hg().backend;if(!s.gpgpu.gl.isTexture(r))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");var u=s.writeTexture(r,t,n,a,i,o);return hg().makeTensorFromDataId(u,t,n,s)}}]),n}(Il);sU.nextDataId=0;Uv()&&mg("webgl",(function(){return new sU}),2);var uU="\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n",cU=P((function e(t,n,r){M(this,e),this.variableNames=["A","B"],this.outputShape=Ug(n,r),this.enableShapeUniforms=kB(this.outputShape.length),this.userCode="\n      float binaryOperation(float a, float b) {\n        ".concat(t,"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    ")})),lU="\n  result.r = isNaN.r ? NAN : result.r;\n  result.g = isNaN.g ? NAN : result.g;\n  result.b = isNaN.b ? NAN : result.b;\n  result.a = isNaN.a ? NAN : result.a;\n",hU=P((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];M(this,e),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Ug(n,r);var i=this.outputShape.length;this.enableShapeUniforms=kB(i);var o="";if(a)if(0===i||1===Ml(this.outputShape))o="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else{var s=dB(i);if(o="\n          ".concat(s," coords = getOutputCoords();\n        "),1===i)this.enableShapeUniforms?o+="\n            result.y = (coords + 1) >= outShape ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ":o+="\n            result.y = (coords + 1) >= ".concat(this.outputShape[0]," ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ");else{var u=MW("coords",i);this.enableShapeUniforms?o+="\n            bool nextRowOutOfBounds =\n              (".concat(u[i-2]," + 1) >= outShape[").concat(i," - 2];\n            bool nextColOutOfBounds =\n              (").concat(u[i-1]," + 1) >= outShape[").concat(i," - 1];\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "):o+="\n            bool nextRowOutOfBounds =\n              (".concat(u[i-2]," + 1) >= ").concat(this.outputShape[i-2],";\n            bool nextColOutOfBounds =\n              (").concat(u[i-1]," + 1) >= ").concat(this.outputShape[i-1],";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          ")}}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        ".concat(t,"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        ").concat(o,"\n\n        setOutput(result);\n      }\n    ")}));function pU(e){var t=e.inputs,n=e.backend,r=t.x;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var dU={kernelName:Ap,backendName:"webgl",kernelFunc:pU};function fU(e){var t=e.inputs,n=e.backend,r=t.real,a=t.imag,i=n.makeTensorInfo(r.shape,"complex64"),o=n.texData.get(i.dataId),s=pU({inputs:{x:r},backend:n}),u=pU({inputs:{x:a},backend:n});return o.complexTensorInfos={real:s,imag:u},i}var vU={kernelName:Gh,backendName:"webgl",kernelFunc:fU},mU="return (a < 0.) ? b * a : a;",gU="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var yU={kernelName:zp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.alpha,o=n.makeTensorInfo([],"float32",Qf(i,"float32")),s=ph().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hU(gU,a.shape,o.shape):new cU(mU,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},bU="return (a < 0.) ? b * a : a;",kU="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var xU={kernelName:yd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=ph().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hU(kU,r.shape,a.shape):new cU(bU,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}},wU="if (isnan(x)) return x;";function SU(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.cpuKernelImpl,a=e.dtype;return function(e){var i,o=e.inputs,s=e.backend,u=o.x,c=s,l=a||u.dtype;if(c.shouldExecuteOnCPU([u])&&null!=r){var h=c.texData.get(u.dataId),p=r(h.values,l);return c.makeTensorInfo(u.shape,l,p)}return i=ph().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=n?new nU(u.shape,n):new VW(u.shape,t),c.runWebGLProgram(i,[u],l)}}function NU(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.checkOutOfBounds,a=void 0!==r&&r,i=e.supportsComplex,o=void 0!==i&&i,s=e.cpuKernelImpl,u=e.dtype;return function(e){var r=e.inputs,i=e.backend,c=r.a,l=r.b,h=i;if(o&&"complex64"===c.dtype){var p=h.texData.get(c.dataId),d=h.texData.get(l.dataId),f=[[p.complexTensorInfos.real,d.complexTensorInfos.real],[p.complexTensorInfos.imag,d.complexTensorInfos.imag]].map((function(e){var n=C(e,2),r=n[0],a=n[1],i={dataId:r.dataId,dtype:r.dtype,shape:c.shape},o={dataId:a.dataId,dtype:a.dtype,shape:l.shape},s=new cU(t,c.shape,l.shape);return h.runWebGLProgram(s,[i,o],Iv(r.dtype,a.dtype))})),v=C(f,2),m=v[0],g=v[1],y=fU({inputs:{real:m,imag:g},backend:h});return h.disposeIntermediateTensorInfo(m),h.disposeIntermediateTensorInfo(g),y}var b,k=u||Iv(c.dtype,l.dtype);if(("string"===c.dtype||"string"===l.dtype||h.shouldExecuteOnCPU([c,l]))&&null!=s){var x=h.texData.get(c.dataId).values,w=h.texData.get(l.dataId).values,S="string"===c.dtype?Sw(x):x,N="string"===c.dtype?Sw(w):w,I=C(s(c.shape,l.shape,S,N,k),2),T=I[0],E=I[1],_=h.makeTensorInfo(E,k);return h.texData.get(_.dataId).values=T,_}return b=ph().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new hU(n,c.shape,l.shape,a):new cU(t,c.shape,l.shape),h.runWebGLProgram(b,[c,l],k)}}function IU(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if("linear"===e)return t?JW:HW;if("relu"===e)return t?$W:qW;if("elu"===e)return t?ZW:KW;if("relu6"===e)return t?eU:XW;if("prelu"===e)return t?kU:bU;if("leakyrelu"===e)return t?gU:mU;if("sigmoid"===e)return t?tU:QW;throw new Error("Activation ".concat(e," has not been implemented for the WebGL backend."))}var TU=P((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5&&void 0!==arguments[5]&&arguments[5],s=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,u=arguments.length>7&&void 0!==arguments[7]&&arguments[7],c=arguments.length>8&&void 0!==arguments[8]&&arguments[8];M(this,e),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=r,this.enableShapeUniforms=kB(this.outputShape.length);var l=a?t[1]:t[2],h=Math.ceil(l/2),p=a?"i * 2, rc.y":"rc.y, i * 2",d=i?"rc.z, i * 2":"i * 2, rc.z",f=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],v=i?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",g="";s&&(m=u?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ".concat(s,"\n        }"):c?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          ".concat(s,"\n        }"):"vec4 activation(vec4 x) {\n          ".concat(s,"\n        }"),g="result = activation(result);");var y=o?"result += getBiasAtOutCoords();":"";o&&this.variableNames.push("bias"),u&&this.variableNames.push("preluActivationWeights"),c&&this.variableNames.push("leakyreluAlpha");var b="rc.x",k="rc.x";t[0]<n[0]?b="imod(rc.x, ".concat(t[0],")"):n[0]<t[0]&&(k="imod(rc.x, ".concat(n[0],")")),this.userCode="\n      ".concat(m,"\n      // Don't use uniform for sharedDimensionPacked for performance.\n      const float sharedDimension = ").concat(h,".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        int batchA = ").concat(b,";\n        int batchB = ").concat(k,";\n        for (int i = 0; i < ").concat(h,"; i++) {\n          vec4 a = getMatrixA(batchA, ").concat(p,");\n          vec4 b = getMatrixB(batchB, ").concat(d,");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += (").concat(f[0]," * ").concat(v[0],");\n          result += (").concat(f[1]," * ").concat(v[1],");\n      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t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=Iv(a.dtype,i.dtype);if("complex64"===a.dtype){var s=r.texData.get(a.dataId),u=r.texData.get(i.dataId),c=new CU(EU.REAL,a.shape,i.shape),l=new CU(EU.IMAG,a.shape,i.shape),h=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:a.shape},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:i.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:i.shape}],p=r.runWebGLProgram(c,h,"float32"),d=r.runWebGLProgram(l,h,"float32"),f=fU({inputs:{real:p,imag:d},backend:r});return r.disposeIntermediateTensorInfo(p),r.disposeIntermediateTensorInfo(d),f}if(r.shouldExecuteOnCPU([a,i])){var v=r.texData.get(a.dataId),m=r.texData.get(i.dataId),g=C(sW(a.shape,i.shape,v.values,m.values,o),2),y=g[0],b=g[1],k=r.makeTensorInfo(b,o);return r.texData.get(k.dataId).values=y,k}return t=ph().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hU(_U,a.shape,i.shape):new cU(_U,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var AU={kernelName:sd,backendName:"webgl",kernelFunc:RU};function FU(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=Ml(a.shape),u=Ul(i,s),c=Ml(u);Fl(s===c,(function(){return"The new shape (".concat(u,") has ").concat(c," elements and the old ")+"shape (".concat(a.shape,") has ").concat(s," elements. 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1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ".concat(h,"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ").concat(r,";\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ").concat(s,"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ").concat(c,"\n        }\n\n        int inIdx = inOffset + ").concat(s,";\n        if (").concat(1===u,") {\n          vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n          ").concat(c,"\n        } else if (").concat(2===u,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1), 0.0, 0.0);\n\n          ").concat(c,"\n        } else if (").concat(3===u,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2), 0.0);\n\n          ").concat(c,"\n        }\n        setOutput(sumValue);\n      }\n    ")})),MU=P((function e(t,n){M(this,e),this.variableNames=["x"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.outSize;this.outputShape=[a,o];var s="0.0",u="";"prod"===n?s="1.0":"min"===n?(s="1.0 / 1e-20",u="min"):"max"===n&&(s="-1.0 / 1e-20",u="max");var c="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===n?c="sumValue":"prod"===n?c="prodValue":"all"===n?c="allValue":"any"===n&&(c="anyValue");var l=4*Math.floor(r/4),h=r%4,p="\n      if (".concat("sum"===n,") {\n        sumValue += dot(values, ones);\n      } else if (").concat("prod"===n,") {\n        vec2 tmp = vec2(values[0], values[1]) * 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return initializationValue;\n        }\n      ")),this.userCode="\n      const float initializationValue = ".concat(s,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ").concat(f,"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ").concat(r,";\n\n        vec4 minMaxValue = vec4(").concat(s,");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < ").concat(l,"; i += 4) {\n          int inIdx = inOffset + i;\n          ").concat(d," values = ").concat(d,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ").concat(p,"\n        }\n\n  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t=[];0===t.length||1!==t[t.length-1].outSize;){var n=t.length?t[t.length-1].outSize:e[1],r=Ux(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape),i=e,o=0;o<a.length;o++){var s,u=a[o],c=u.inSize,l=u.windowSize,h=u.outSize,p=void 0;p="mean"===n?0===o?new OU({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},c):new OU({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h}):new MU({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},n),s=i,i=r.runWebGLProgram(p,[i],t),s.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(s)}return i}var zU=P((function e(t,n){M(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];this.outputShape=r,this.rank=r.length;var i=dB(this.rank),o=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank ".concat(t," is not yet supported"));for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(n);this.userCode="\n    void main() {\n      ".concat(i," resRC = getOutputCoords();\n      setOutput(getA(").concat(o,"));\n    }\n    ")}));var PU=P((function e(t,n){M(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];if(this.outputShape=r,this.rank=r.length,this.rank>6)throw Error("Packed transpose for rank ".concat(this.rank," is not yet supported."));for(var i=dB(this.rank),o=OW("rc",this.rank),s=new Array(this.rank),u=0;u<n.length;u++)s[n[u]]=o[u];var c="vec2(".concat(s.slice(-2).join(),")"),l="++".concat(o[this.rank-1]," < ").concat(r[this.rank-1]),h="getChannel(getA(".concat(s.join(),"), ").concat(c,")");this.userCode="\n    void main() {\n      ".concat(i," rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ").concat(h,";\n      if(").concat(l,") {\n        result[1] = ").concat(h,";\n      }\n      --").concat(o[this.rank-1],";\n      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t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.perm,s=r,u=i.shape.length,c=new Array(u),l=0;l<c.length;l++)c[l]=i.shape[o[l]];if(s.shouldExecuteOnCPU([i])){var h=s.texData.get(i.dataId).values,p=FW(h,i.shape,i.dtype,o,c);t=s.makeTensorInfo(c,i.dtype),s.texData.get(t.dataId).values=p}else t=BU(i,o,s);return t}var GU={kernelName:gf,backendName:"webgl",kernelFunc:VU},HU=1e3;function jU(e){var t=e.a,n=e.b,r=e.transposeA,a=e.transposeB,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,c=void 0===u?null:u,l=e.leakyreluAlpha,h=void 0===l?0:l,p=e.activation,d=void 0===p?null:p,f=t.shape.length,v=n.shape.length,m=r?t.shape[f-2]:t.shape[f-1],g=a?n.shape[v-1]:n.shape[v-2],y=r?t.shape[f-1]:t.shape[f-2],b=a?n.shape[v-2]:n.shape[v-1],k=t.shape.slice(0,-2),x=n.shape.slice(0,-2),w=Ml(k),S=Ml(x),N=Ug(t.shape.slice(0,-2),n.shape.slice(0,-2)).concat([y,b]);Fl(m===g,(function(){return"Error in matMul: inner shapes (".concat(m,") and (")+"".concat(g,") of Tensors with shapes ").concat(t.shape," and ")+"".concat(n.shape," and transposeA=").concat(r)+" and transposeB=".concat(a," must match.")}));var I,T=r?[w,m,y]:[w,y,m],E=a?[S,b,g]:[S,g,b],C=FU({inputs:{x:t},backend:i,attrs:{shape:T}}),_=FU({inputs:{x:n},backend:i,attrs:{shape:E}}),R=[C,_],A=Math.max(w,S),F=r?C.shape[1]:C.shape[2],D=null!=s,O=null!=c,M="leakyrelu"===d,L=null!=d?IU(d,!0):null;if((1===y||1===b)&&F>HU&&!1===(D||O||M||null!=L)){var z=C,P=_;r&&(z=VU({inputs:{x:C},backend:i,attrs:{perm:[0,2,1]}}),R.push(z)),a&&(P=VU({inputs:{x:_},backend:i,attrs:{perm:[0,2,1]}}),R.push(P));var B=1===b,W=z;1!==b&&(W=FU({inputs:{x:z},backend:i,attrs:{shape:[A,F,1]}}),R.push(W));var U=1===b?2:1,V=P;B&&(V=FU({inputs:{x:P},backend:i,attrs:{shape:[A,1,F]}}),R.push(V));var G=RU({inputs:{a:W,b:V},backend:i});I=WU({inputs:{x:G},backend:i,attrs:{axis:U,keepDims:!0}}),R.push(G)}else{var H=Iv(t.dtype,n.dtype),j=new TU(T,E,[A,y,b],r,a,D,L,O,M),K=[C,_];if(null!=s&&K.push(s),O&&K.push(c),M){var q=i.makeTensorInfo([],"float32",Qf(h,"float32"));K.push(q),R.push(q)}I=i.runWebGLProgram(j,K,H)}var X=FU({inputs:{x:I},backend:i,attrs:{shape:N}});R.push(I);for(var Y=0,Q=R;Y<Q.length;Y++){var J=Q[Y];i.disposeIntermediateTensorInfo(J)}return X}var KU={kernelName:Nf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.a,i=t.b,o=t.bias,s=t.preluActivationWeights,u=r.transposeA,c=r.transposeB,l=r.activation;return jU({a:a,b:i,transposeA:u,transposeB:c,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:l})}},qU="return abs(x);";var XU={kernelName:gh,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])&&"complex64"!==a.dtype){var i=r.texData.get(a.dataId),o=yW(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=ph().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new nU(a.shape,qU):new VW(a.shape,qU),r.runWebGLProgram(t,[a],a.dtype)}},YU=SU({opSnippet:GW+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n"}),QU={kernelName:yh,backendName:"webgl",kernelFunc:YU},JU=SU({opSnippet:GW+"\n  if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),ZU={kernelName:bh,backendName:"webgl",kernelFunc:JU},$U="return a + b;",eV=NU({opSnippet:$U,packedOpSnippet:$U,supportsComplex:!0,cpuKernelImpl:BB}),tV={kernelName:kh,backendName:"webgl",kernelFunc:eV},nV=P((function e(t,n){M(this,e),this.outputShape=[],this.outputShape=t,this.variableNames=n.map((function(e,t){return"T".concat(t)}));var r=[];this.variableNames.forEach((function(e){r.push("float v".concat(e," = get").concat(e,"AtOutCoords();"))}));var a=this.variableNames.map((function(e){return"v".concat(e)})).join(" + ");this.userCode="\n      void main() {\n        ".concat(r.join("\n        "),"\n\n        float result = ").concat(a,";\n        setOutput(result);\n      }\n    ")})),rV=P((function e(t,n){M(this,e),this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=n.map((function(e,t){return"T".concat(t)}));var r=[];this.variableNames.forEach((function(e){r.push("vec4 v".concat(e," = get").concat(e,"AtOutCoords();"))}));var a=this.variableNames.map((function(e){return"v".concat(e)})).join(" + ");this.userCode="\n      void main() {\n        ".concat(r.join("\n        "),"\n\n        vec4 result = ").concat(a,";\n        setOutput(result);\n      }\n    ")}));var aV={kernelName:xh,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n;if(1===a.length)return pU({inputs:{x:a[0]},backend:r});if(a.length>ph().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(a.length/2),o=e({inputs:a.slice(0,i),backend:r}),s=e({inputs:a.slice(i),backend:r});return e({inputs:[o,s],backend:r})}var u=a.map((function(e){return e.dtype})).reduce((function(e,t){return Iv(e,t)})),c=a.map((function(e){return e.shape})),l=ph().getBool("WEBGL_PACK")?new rV(a[0].shape,c):new nV(a[0].shape,c);return r.runWebGLProgram(l,a,u)}};var iV={kernelName:wh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Vl(i,a.shape),c=u,l=Wb(c,s),h=a;null!=l&&(h=VU({inputs:{x:a},backend:n,attrs:{perm:l}}),c=Vb(c.length,s)),Bb("all",c,s);var p,d=C(zb(h.shape,c),2),f=d[0],v=FU({inputs:{x:h},backend:n,attrs:{shape:[-1,Ml(d[1])]}}),m=LU(v,v.dtype,"all",n);return p=FU(o?{inputs:{x:m},backend:n,attrs:{shape:Pb(f,u)}}:{inputs:{x:m},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}};var oV={kernelName:Sh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Vl(i,a.shape),c=u,l=Wb(c,s),h=a;null!=l&&(h=VU({inputs:{x:a},backend:n,attrs:{perm:l}}),c=Vb(c.length,s)),Bb("any",c,s);var p,d=C(zb(h.shape,c),2),f=d[0],v=FU({inputs:{x:h},backend:n,attrs:{shape:[-1,Ml(d[1])]}}),m=LU(v,v.dtype,"any",n);return p=FU(o?{inputs:{x:m},backend:n,attrs:{shape:Pb(f,u)}}:{inputs:{x:m},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}},sV=P((function e(t,n,r){M(this,e),this.variableNames=["A"];var a=t.windowSize,i=t.batchSize,o=t.outSize;r||this.variableNames.push("bestIndicesA"),this.outputShape=[i,o];var s="max"===n?">":"<",u=r?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ".concat(a,";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ").concat(a,"; i++) {\n          int inIdx = ").concat(u,";\n          float candidate = getA(batch, inIdx);\n          if (candidate ").concat(s," bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    ")})),uV=P((function e(t,n,r,a){M(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Fl(t.length>2,(function(){return"Packed arg".concat(r.charAt(0).toUpperCase()+r.slice(1)," supports only inputs with rank above 2.")}));var i=t[t.length-1],o=Math.ceil(i/n);this.outputShape=t.slice(0,-1),o>1&&this.outputShape.push(o),a||this.variableNames.push("bestIndicesA");var s,u,c=this.outputShape,l=c.length,h=dB(l),p=MW("coords",l);if(1===o){var d=dB(u=l+1);s="\n        ".concat(d," sourceLocR = ").concat(d,"(").concat(p.join(),", 0);\n        ++").concat(p[l-1],";\n        ").concat(d," sourceLocG = ").concat(d,"(").concat(p.join(),", 0);\n        ++").concat(p[l-2],";\n        ").concat(d," sourceLocA = ").concat(d,"(").concat(p.join(),", 0);\n        --").concat(p[l-1],";\n        ").concat(d," sourceLocB = ").concat(d,"(").concat(p.join(),", 0);\n        --").concat(p[l-2],";")}else u=l,s="\n        ".concat(h," sourceLocR = coords;\n        ++").concat(p[l-1],";\n        ").concat(h," sourceLocG = coords;\n        ++").concat(p[l-2],";\n        ").concat(h," sourceLocA = coords;\n        --").concat(p[l-1],";\n        ").concat(h," sourceLocB = coords;\n        --").concat(p[l-2],";");var f=["x","y","z","w","u","v"].slice(0,u),v="."+f[u-1],m=f.map((function(e){return"int "+e})),g=MW("sourceLocR",u-1).concat("inIdx.r"),y=MW("sourceLocG",u-1).concat("inIdx.g"),b=MW("sourceLocB",u-1).concat("inIdx.b"),k=MW("sourceLocA",u-1).concat("inIdx.a"),x="max"===r?"greaterThan":"lessThan",w=a?"":"\n          inIdx = round(vec4(getBestIndicesAChannel(".concat(g.join(),"),\n                             getBestIndicesAChannel(").concat(y.join(),"),\n                             getBestIndicesAChannel(").concat(b.join(),"),\n                             getBestIndicesAChannel(").concat(k.join(),")));"),S="vec4(\n            getAChannel(".concat(g.join(),"),\n            hasNextCol ? getAChannel(").concat(y.join(),") : 0.,\n            hasNextRow ? getAChannel(").concat(b.join(),") : 0.,\n            hasNextRow && hasNextCol ? getAChannel(").concat(k.join(),") : 0.)"),N=a?"":"\n      float getBestIndicesAChannel(".concat(m.join(),") {\n        return getChannel(getBestIndicesA(").concat(f.join(),"),\n                                          vec2(").concat(f.slice(-2).join(),"));\n      }");this.userCode="\n      float getAChannel(".concat(m.join(),") {\n        return getChannel(getA(").concat(f.join(),"),\n                               vec2(").concat(f.slice(-2).join(),"));\n      }\n      ").concat(N,"\n      void main() {\n        ").concat(h," coords = getOutputCoords();\n        bool hasNextCol = ").concat(p[l-1]," < ").concat(c[l-1]-1,";\n        bool hasNextRow = ").concat(p[l-2]," < ").concat(c[l-2]-1,";\n        ").concat(s,"\n        ivec4 srcIdx = ivec4(sourceLocR").concat(v,", sourceLocG").concat(v,",\n          sourceLocB").concat(v,", sourceLocA").concat(v,") * ").concat(n,";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ").concat(S,";\n\n        for (int i = 0; i < ").concat(n,"; i++) {\n          inIdx = srcIdx;\n          ").concat(w,"\n          vec4 candidate = ").concat(S,";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4(").concat(x,"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    ")}));function cV(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=t.shape[0],i=t.shape[1];null!=r&&(a=r.shape[0],i=r.shape[1]);var o=Ux(i),s={windowSize:o,inSize:i,batchSize:a,outSize:Math.ceil(i/o)},u=new sV(s,n,null==r),c=[t];null!=r&&c.push(r);var l=e.runWebGLProgram(u,c,"int32");if(1===l.shape[1])return l;var h=cV(e,t,n,l);return e.disposeIntermediateTensorInfo(l),h}function lV(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=null!=r?r.shape:t.shape,i=Ux(a[a.length-1]),o=new uV(a,i,n,null==r),s=null==r?[t]:[t,r],u=e.runWebGLProgram(o,s,"int32");if(u.shape.length===t.shape.length){var c=lV(e,t,n,u);return e.disposeIntermediateTensorInfo(u),c}return u}function hV(e,t,n,r){var a=[n];if(Bb("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!ph().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){var i=[],o=e.texData.get(t.dataId),s=t;null!==o&&o.isPacked&&(s=e.unpackTensor(t),i.push(s));var u=C(zb(s.shape,a),2),c=u[0],l=Ml(u[1]),h=FU({inputs:{x:s},backend:e,attrs:{shape:[-1,l]}});i.push(h);var p=cV(e,h,r);i.push(p);var d=FU({inputs:{x:p},backend:e,attrs:{shape:c}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),d}return lV(e,t,r)}var pV={kernelName:Nh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=Vl(r.axis,a.shape),o=Wb(i,a.shape.length),s=a,u=[];null!=o&&(s=VU({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=Vb(i.length,s.shape.length)),Bb("argMax",[i[0]],s.shape.length);var c=hV(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}};var dV={kernelName:Ih,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=Vl(r.axis,a.shape),o=Wb(i,a.shape.length),s=a,u=[];null!=o&&(s=VU({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=Vb(i.length,s.shape.length)),Bb("argMin",[i[0]],s.shape.length);var c=hV(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}},fV=SU({opSnippet:GW+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n"}),vV={kernelName:Th,backendName:"webgl",kernelFunc:fV},mV=SU({opSnippet:GW+"return log(x + sqrt(x * x + 1.0));"}),gV={kernelName:Eh,backendName:"webgl",kernelFunc:mV},yV=SU({opSnippet:GW+"\n  return atan(x);\n"}),bV={kernelName:Ch,backendName:"webgl",kernelFunc:yV},kV=NU({opSnippet:uU+"\n  return atan(a, b);\n",packedOpSnippet:"\n  vec4 result = atan(a, b);\n  bvec4 isNaNA = isnan(a);\n  bvec4 isNaNB = isnan(b);\n  bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n  "+lU+"\n  return result;\n"}),xV={kernelName:Rh,backendName:"webgl",kernelFunc:kV},wV=SU({opSnippet:GW+"\n  if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;"}),SV={kernelName:_h,backendName:"webgl",kernelFunc:wV},NV=P((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(M(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideHeight,u=t.strideWidth,c=t.dilationHeight,l=t.dilationWidth,h=t.effectiveFilterHeight,p=t.effectiveFilterWidth,d=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;var v="avg"===n,m="((batch  * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),g="(xR * ".concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),y="0.0";if(v||(y="-1.0 / 1e-20"),r){this.userCode="\n        const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n        const ivec2 pads = ivec2(").concat(d,", ").concat(f,");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < ").concat(h,";\n              wR += ").concat(c,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(p,";\n                wC += ").concat(l,") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value ").concat(">="," currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = ").concat(a?i?m:g:"wR * ".concat(p," + wC"),";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var b="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(b="avgValue / max(count, 1.0)");var k=4*Math.floor(o/4),x=o%4,w="\n      if (".concat(v,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat("max","(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n      const ivec2 pads = ivec2(").concat(d,", ").concat(f,");\n      const float initializationValue = ").concat(y,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= ").concat(t.inWidth,") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(").concat(y,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ").concat(h,";\n            wR += ").concat(c,") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ").concat(t.inHeight,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(k,"; wC += 4) {\n            int xC = xCCorner + wC * ").concat(l,";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(l,", d),\n              getValue(batch, xR, xC + 2 * ").concat(l,", d),\n              getValue(batch, xR, xC + 3 * ").concat(l,", d)\n            );\n\n            ").concat(w,"\n          }\n\n          int xC = xCCorner + ").concat(k,";\n          if (").concat(1===x,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(w,"\n          } else if (").concat(2===x,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(l,", d),\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(w,"\n          } else if (").concat(3===x,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(l,", d),\n              getValue(batch, xR, xC + 2 * ").concat(l,", d),\n              initializationValue\n            );\n\n            ").concat(w,"\n          }\n        }\n        setOutput(").concat(b,");\n      }\n    ")}})),IV=P((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(M(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideDepth,u=t.strideHeight,c=t.strideWidth,l=t.dilationDepth,h=t.dilationHeight,p=t.dilationWidth,d=t.effectiveFilterDepth,f=t.effectiveFilterHeight,v=t.effectiveFilterWidth,m=t.padInfo.front,g=t.padInfo.top,y=t.padInfo.left;this.outputShape=t.outShape;var b="avg"===n,k="0.0";if(b||(k="-1.0 / 1e-20"),r){this.userCode="\n        const ivec3 strides =\n            ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n        const ivec3 pads = ivec3(").concat(m,", ").concat(g,", ").concat(y,");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < ").concat(d,";\n              wD += ").concat(l,") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int wR = 0; wR < ").concat(f,";\n                wR += ").concat(h,") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int wC = 0; wC < ").concat(v,";\n                  wC += ").concat(p,") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value ").concat(">="," currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = ").concat(a?i?"(((batch * ".concat(t.inDepth," + xD) * ").concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"((xD * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"wD * ".concat(f," * ").concat(v," +\n                      wR * ").concat(v," + wC"),";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var x="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(x="avgValue / max(count, 1.0)");var w=4*Math.floor(o/4),S=o%4,N="\n      if (".concat(b,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat("max","(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec3 strides =\n        ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n      const ivec3 pads = ivec3(").concat(m,", ").concat(g,", ").concat(y,");\n      const float initializationValue = ").concat(k,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= ").concat(t.inWidth,") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(").concat(k,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ").concat(d,";\n            wD += ").concat(l,") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(f,";\n            wR += ").concat(h,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(w,"; wC += 4) {\n              int xC = xCCorner + wC * ").concat(p,";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(p,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(p,", ch),\n                getValue(batch, xD, xR, xC + 3 * ").concat(p,", ch)\n              );\n\n              ").concat(N,"\n            }\n\n            int xC = xCCorner + ").concat(w,";\n            if (").concat(1===S,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(N,"\n            } else if (").concat(2===S,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(p,", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(N,"\n            } else if (").concat(3===S,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(p,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(p,", ch),\n                initializationValue\n              );\n\n              ").concat(N,"\n            }\n          }\n        }\n        setOutput(").concat(x,");\n      }\n    ")}}));var TV={kernelName:Ah,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;YP(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Fl(Wy(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=Ry(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&Ll(c.inShape,c.outShape))return pU({inputs:{x:a},backend:n});var l=new NV(c,"avg",!1);return n.runWebGLProgram(l,[a],"float32")}};var EV={kernelName:Dh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode,c=r.dataFormat,l=Ay(a.shape,i,o,[1,1,1],s,u,c),h=new IV(l,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}},CV=P((function e(t){M(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=u-1-t.padInfo.top,h=c-1-t.padInfo.left,p=1/(n*r);this.userCode="\n      const ivec2 pads = ivec2(".concat(l,", ").concat(h,");\n      const float avgMultiplier = float(").concat(p,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(u,";\n            wR += ").concat(o,") {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(c,";\n            wC+= ").concat(s,") {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),_V=P((function e(t){M(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,l=t.dilationWidth,h=t.effectiveFilterDepth,p=t.effectiveFilterHeight,d=t.effectiveFilterWidth,f=h-1-t.padInfo.front,v=p-1-t.padInfo.top,m=d-1-t.padInfo.left,g=1/(n*r*a);this.userCode="\n      const ivec3 pads = ivec3(".concat(f,", ").concat(v,", ").concat(m,");\n      const float avgMultiplier = float(").concat(g,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ").concat(h,";\n            wD += ").concat(u,") {\n          float dyD = float(dyDCorner + wD) / ").concat(i,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(p,";\n              wR += ").concat(c,") {\n            float dyR = float(dyRCorner + wR) / ").concat(o,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(d,";\n                wC += ").concat(l,") {\n              float dyC = float(dyCCorner + wC) / ").concat(s,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var RV={kernelName:Oh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,c=r.dimRoundingMode,l=Ay(i.shape,o,s,[1,1,1],u,c),h=new _V(l);return n.runWebGLProgram(h,[a],i.dtype)}};var AV={kernelName:Fh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;YP([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,c=r.pad,l=Ry(o.shape,s,u,1,c),h=new CV(l);return n.runWebGLProgram(h,[a],o.dtype)}};var FV={kernelName:Mh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return jU({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},DV=P((function e(t,n,r,a,i,o){M(this,e),this.outputShape=[],this.variableNames=["x","mean","variance"],Ug(t,n),Ug(t,r);var s="0.0";null!=a&&(Ug(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="1.0";null!=i&&(Ug(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ".concat(s,";\n        float scale = ").concat(u,";\n        float inv = scale * inversesqrt(variance + float(").concat(o,"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    ")})),OV=P((function e(t,n,r,a,i,o){M(this,e),this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Ug(t,n),Ug(t,r);var s="vec4(0.0)";null!=a&&(Ug(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="vec4(1.0)";null!=i&&(Ug(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = ".concat(s,";\n        vec4 scale = ").concat(u,";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(").concat(o,"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    ")})),MV={kernelName:Tp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.mean,o=t.variance,s=t.offset,u=t.scale;Fl(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=C(Sy(a,r.begin,r.size),2),o=i[0],s=i[1];if(by(a,o,s),0===Ml(s))return n.makeTensorInfo(s,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||"string"===a.dtype){var u=n.texData.get(a.dataId),c=bW(u.values,o,s,a.shape,a.dtype);return n.makeTensorInfo(s,a.dtype,c)}var l=n.texData.get(a.dataId).isPacked,h=xy(a.shape,o,s);if(l||!h){var p=ph().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new PV(s):new LV(s),d=[o];return n.runWebGLProgram(p,[a],a.dtype,d)}return n.uploadToGPU(a.dataId),function(e,t,n,r){var a=r.texData.get(e.dataId),i=r.makeTensorInfo(n,e.dtype),o=r.texData.get(i.dataId);Object.assign(o,a),o.refCount=1,o.shape=n,o.dtype=e.dtype;var s=wy(t,$l(e.shape));a.slice&&(s+=a.slice.flatOffset),o.slice={flatOffset:s,origDataId:a.slice&&a.slice.origDataId||e.dataId};var u=r.dataRefCount.get(o.slice.origDataId)||1;return r.dataRefCount.set(o.slice.origDataId,u+1),i}(a,o,s,n)}var WV={kernelName:Ud,backendName:"webgl",kernelFunc:BV},UV={kernelName:Lh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;Fl(a.shape.length<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var s=i.reduce((function(e,t){return e*t})),u=Gx(a.shape,i,s),c=Hx(u.length,i.length),l=jx(a.shape,i,s),h=Kx(o,i.length),p=qx(l,o,i.length),d=[],f=FU({inputs:{x:a},backend:n,attrs:{shape:u}}),v=VU({inputs:{x:f},backend:n,attrs:{perm:c}}),m=FU({inputs:{x:v},backend:n,attrs:{shape:l}}),g=BV({inputs:{x:m},backend:n,attrs:{begin:h,size:p}});return d.push(f),d.push(v),d.push(m),d.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var VV={kernelName:zh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=WB(s,u,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,c)}};var GV={kernelName:Ph,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=ph().getBool("WEBGL_PACK_BINARY_OPERATIONS"),s=ph().getNumber("WEBGL_VERSION");if(r.shouldExecuteOnCPU([a,i])||1===s){var u=r.texData.get(a.dataId).values,c=r.texData.get(i.dataId).values,l=C(VB(a.shape,i.shape,u,c,a.dtype),2),h=l[0],p=l[1],d=r.makeTensorInfo(p,a.dtype);return r.texData.get(d.dataId).values=h,d}return t=o?new hU("\n  int r = int(a.r) & int(b.r);\n  int g = int(a.g) & int(b.g);\n  int rb = int(a.b) & int(b.b);\n  int ra = int(a.a) & int(b.a);\n  return vec4(r, g, rb, ra);\n",a.shape,i.shape,!1):new cU("\n  return float(int(a.r) & int(b.r));\n",a.shape,i.shape),r.runWebGLProgram(t,[a,i],a.dtype)}};var HV={kernelName:Bh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.s0,a=t.s1,i=n.readSync(r.dataId),o=n.readSync(a.dataId),s=Ug(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},jV=NU({opSnippet:"return float(a != b);",cpuKernelImpl:cW,dtype:"bool"}),KV={kernelName:cd,backendName:"webgl",kernelFunc:jV};function qV(e){var t=e.inputs,n=e.backend,r=t.input;return pU({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var XV={kernelName:Nd,backendName:"webgl",kernelFunc:qV},YV="return float(int(x));";var QV={kernelName:Wh,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=t.attrs,i=n.x,o=a.dtype;if("complex64"===o){if("complex64"===i.dtype)return pU({inputs:{x:i},backend:r});var s=qb(i.shape),u=e({inputs:{x:i},backend:r,attrs:{dtype:"float32"}}),c=fU({inputs:{real:u,imag:s},backend:r});return s.dispose(),r.disposeIntermediateTensorInfo(u),c}if("complex64"===i.dtype){var l=qV({inputs:{input:i},backend:r}),h=e({inputs:{x:l},backend:r,attrs:{dtype:o}});return r.disposeIntermediateTensorInfo(l),h}if(!Kl(i.dtype,o)){var p=pU({inputs:{x:i},backend:r});return{dataId:p.dataId,shape:p.shape,dtype:o}}if(r.shouldExecuteOnCPU([i])){var d=r.texData.get(i.dataId).values,f=C(GB(d,i.shape,i.dtype,o),3),v=f[0],m=f[1],g=f[2];return r.makeTensorInfo(v,m,g)}if("int32"===o)return function(e,t){var n=new VW(e.shape,YV),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(i,r);if("bool"===o){var y=r.makeTensorInfo([],"bool",Hl("bool",1)),b=jV({inputs:{a:i,b:y},backend:r});return r.disposeIntermediateTensorInfo(y),b}throw new Error("Error in Cast: failed to cast ".concat(i.dtype," to ").concat(o))}},JV="return ceil(x);",ZV=SU({opSnippet:JV,packedOpSnippet:JV,cpuKernelImpl:HB}),$V={kernelName:Uh,backendName:"webgl",kernelFunc:ZV},eG=P((function e(t){M(this,e),this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode="\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, 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im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "}));function aG(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}var iG={kernelName:Hh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=n.texData.get(r.dataId),i=new rG(r.shape),o=[aG(r,a.complexTensorInfos.real),aG(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(i,o,o[0].dtype)}},oG=P((function e(t){M(this,e),this.outputShape=[],this.outputShape=Bx(t,1),this.variableNames=t.map((function(e,t){return"T".concat(t)}));var n=new Array(t.length-1);n[0]=t[0][1];for(var r=1;r<n.length;r++)n[r]=n[r-1]+t[r][1];for(var a=["if (yC < ".concat(n[0],") setOutput(getT0(yR, yC));")],i=1;i<n.length;i++){var o=n[i-1];a.push("else if (yC < ".concat(n[i],") ")+"setOutput(getT".concat(i,"(yR, yC-").concat(o,"));"))}var s=n.length,u=n[n.length-1];a.push("else 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getT").concat(f,"(").concat(uG(s,l,v),"),\n            vec2(").concat(uG(h,l,v),"));\n        }")}var m=u.length,g=u[u.length-1];d+="\n        return getChannel(\n          getT".concat(m,"(").concat(uG(s,l,g),"),\n          vec2(").concat(uG(h,l,g),"));"),this.userCode="\n      float getValue(".concat(s.map((function(e){return"int "+e})),") {\n        ").concat(d,"\n      }\n\n      void main() {\n        ").concat(i," coords = getOutputCoords();\n        vec4 result = vec4(getValue(").concat(o,"), 0., 0., 0.);\n\n        ").concat(o[a-1]," = ").concat(o[a-1]," + 1;\n        if (").concat(o[a-1]," < ").concat(r[a-1],") {\n          result.g = getValue(").concat(o,");\n        }\n\n        ").concat(o[a-2]," = ").concat(o[a-2]," + 1;\n        if (").concat(o[a-2]," < ").concat(r[a-2],") {\n          result.a = getValue(").concat(o,");\n        }\n\n        ").concat(o[a-1]," = ").concat(o[a-1]," - 1;\n        if (").concat(o[a-2]," < ").concat(r[a-2]," &&\n            ").concat(o[a-1]," < ").concat(r[a-1],") {\n          result.b = getValue(").concat(o,");\n        }\n        setOutput(result);\n      }\n    ")}));function uG(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?"".concat(e," - ").concat(n):e})).join()}function cG(e){var t=e.inputs,n=e.backend,r=t.input;return pU({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}var lG={kernelName:Dp,backendName:"webgl",kernelFunc:cG};function hG(e,t,n){var r=e[0].dtype;if("complex64"===r){var a=e.map((function(e){return qV({inputs:{input:e},backend:n})})),i=e.map((function(e){return cG({inputs:{input:e},backend:n})})),o=hG(a,t,n),s=hG(i,t,n),u=fU({inputs:{real:o,imag:s},backend:n});return a.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),i.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}var c=n.shouldExecuteOnCPU(e);if("string"===r&&(c=!0),c){var l=e.map((function(e){var r=Ml(e.shape.slice(t));return FU({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),h=l.map((function(e){return{vals:n.readSync(e.dataId),shape:e.shape}})),p=Bx(l.map((function(e){return e.shape})),1),d=1===l[0].shape[0],f=jB(h,p,r,d),v=Bx(e.map((function(e){return e.shape})),t),m=n.makeTensorInfo(v,r,f);return l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),m}var g=e.filter((function(e){return Ml(e.shape)>0})),y=ph().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&g[0].shape.length>1;if(1===g.length){var b=y?new VW(e[0].shape,YW):new nU(e[0].shape,YW);return n.runWebGLProgram(b,e,r)}var k=ph().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(g.length>k){for(var x=[],w=0;w<g.length;w+=k){var S=g.slice(w,w+k);x.push(hG(S,t,n))}for(var N=hG(x,t,n),I=0,T=x;I<T.length;I++){var E=T[I];n.disposeIntermediateTensorInfo(E)}return N}if(y){var C=new sG(g.map((function(e){return e.shape})),t);return n.runWebGLProgram(C,g,r)}var _=function(e,t,n){var r=Bx(e.map((function(e){return e.shape})),t),a=e.map((function(e){return FU({inputs:{x:e},attrs:{shape:[-1,Ml(e.shape.slice(t))]},backend:n})}));return{tensors2D:a,outShape:r}}(g,t,n),R=_.tensors2D,A=_.outShape,F=new oG(R.map((function(e){return e.shape}))),D=n.runWebGLProgram(F,R,r);R.forEach((function(e){return n.disposeIntermediateTensorInfo(e)}));var O=FU({inputs:{x:D},attrs:{shape:A},backend:n});return n.disposeIntermediateTensorInfo(D),O}function pG(e){var t=e.inputs,n=e.backend,r=Vl(e.attrs.axis,t[0].shape)[0];Px(t.map((function(e){return e.shape})),r);var a=Bx(t.map((function(e){return e.shape})),r);if(0===Ml(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return Ml(e.shape)>0}));return 1===i.length?pU({inputs:{x:i[0]},backend:n}):hG(i,r,n)}var dG={kernelName:jh,backendName:"webgl",kernelFunc:pG},fG=P((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];M(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,p=t.filterHeight,d=t.filterWidth,f=4*Math.floor(t.inChannels/4),v=t.inChannels%4,m="channelsLast"===t.dataFormat,g=m?1:2,y=m?2:3,b=m?3:1,k="",x="";r&&(k=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):i?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),x="result = activation(result);");var w=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(k,"\n\n      const ivec2 strides = ivec2(").concat(u,", ").concat(c,");\n      const ivec2 pads = ivec2(").concat(o,", ").concat(s,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[").concat(b,"];\n\n        ivec2 xRCCorner =\n            ivec2(coords[").concat(g,"], coords[").concat(y,"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(p,"; wR++) {\n          int xR = xRCorner + wR * ").concat(l,";\n\n          if (xR < 0 || xR >= ").concat(t.inHeight,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(d,"; wC++) {\n            int xC = xCCorner + wC * ").concat(h,";\n\n            if (xC < 0 || xC >= ").concat(t.inWidth,") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < ").concat(f,"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if (").concat(m,") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if (").concat(1===v,") {\n\n              if (").concat(m,") {\n                dotProd +=\n                    getX(batch, xR, xC, ").concat(f,") *\n                    getW(wR, wC, ").concat(f,", d2);\n              } else {\n                dotProd +=\n                    getX(batch, ").concat(f,", xR, xC) *\n                    getW(wR, wC, ").concat(f,", d2);\n              }\n\n            } else if (").concat(2===v,") {\n              vec2 wValues = vec2(\n                getW(wR, wC, ").concat(f,", d2),\n                getW(wR, wC, ").concat(f," + 1, d2)\n              );\n\n              if (").concat(m,") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ").concat(f,"),\n                  getX(batch, xR, xC, ").concat(f," + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ").concat(f,", xR, xC),\n                  getX(batch, ").concat(f," + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (").concat(3===v,") {\n              vec3 wValues = vec3(\n                getW(wR, wC, ").concat(f,", d2),\n                getW(wR, wC, ").concat(f," + 1, d2),\n                getW(wR, wC, ").concat(f," + 2, d2)\n              );\n\n              if (").concat(m,") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ").concat(f,"),\n                  getX(batch, xR, xC, ").concat(f," + 1),\n                  getX(batch, xR, xC, ").concat(f," + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ").concat(f,", xR, xC),\n                  getX(batch, ").concat(f," + 1, xR, xC),\n                  getX(batch, ").concat(f," + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ").concat(w,"\n        ").concat(x,"\n        setOutput(result);\n      }\n    ")})),vG=P((function e(t){M(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var n=t.padInfo.front,r=t.padInfo.top,a=t.padInfo.left,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,l=t.dilationWidth,h=t.filterDepth,p=t.filterHeight,d=t.filterWidth,f=4*Math.floor(t.inChannels/4),v=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3(".concat(i,", ").concat(o,", ").concat(s,");\n      const ivec3 pads = ivec3(").concat(n,", ").concat(r,", ").concat(a,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ").concat(h,"; wF++) {\n          int xF = xFCorner + wF * ").concat(u,";\n\n          if (xF < 0 || xF >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(p,"; wR++) {\n            int xR = xRCorner + wR * ").concat(c,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(d,"; wC++) {\n              int xC = xCCorner + wC * ").concat(l,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ").concat(f,"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if (").concat(1===v,") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ").concat(f,") *\n                  getW(wF, wR, wC, ").concat(f,", d2);\n              } else if (").concat(2===v,") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ").concat(f,"),\n                  getX(batch, xF, xR, xC, ").concat(f," + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ").concat(f,", d2),\n                  getW(wF, wR, wC, ").concat(f," + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (").concat(3===v,") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ").concat(f,"),\n                  getX(batch, xF, xR, xC, ").concat(f," + 1),\n                  getX(batch, xF, xR, xC, ").concat(f," + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ").concat(f,", d2),\n                  getW(wF, wR, wC, ").concat(f," + 1, d2),\n                  getW(wF, wR, wC, ").concat(f," + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),mG=P((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];M(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=kB(this.outputShape.length);for(var o=t.padInfo.left,s=t.strideWidth,u=t.dilationWidth,c=t.filterHeight,l=t.filterWidth,h=l,p="\n       int xR; int xC; int xCOffset;\n       vec4 wTexel; vec4 previous; vec4 final;",d=0;d<l;d++)p+="\n           vec4 xTexelC".concat(2*d,";\n           int xTexelC").concat(2*d,"Ready;\n           vec4 xTexelC").concat(2*d+1,";\n           int xTexelC").concat(2*d+1,"Ready;\n           vec4 xC").concat(d,";");p+="\n     for (int r = 0; r < ".concat(c,"; r++) {\n      for (int d1 = 0; d1 < ").concat(t.inChannels,"; d1 += 2) {\n       ");for(var f=0;f<l;f++)p+="\n           xTexelC".concat(2*f," = vec4(0.0);\n           xTexelC").concat(2*f,"Ready = 0;\n           xTexelC").concat(2*f+1," = vec4(0.0);\n           xTexelC").concat(2*f+1,"Ready = 0;\n           xC").concat(f," = vec4(0.0);");p+="\n         xR = xRCorner + r * dilations[0];\n         if (xR >=0 && xR < inDims[0]) {\n       ";for(var v=0;v<(h+1)/2;v++){var m=2*v;if(p+="\n           xC = xCCorner + ".concat(m*u,";\n           "),1===s){if(m<l&&(o%2===1?(p+="\n                 xCOffset = xC + 1;\n                 if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(m,"Ready == 0) {\n                   xTexelC").concat(m," = getX(batch, xR, xCOffset, d1);\n\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(m,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(m,"Ready = 1;\n                 }\n               "),p+=1===u&&m>0?"\n                 xC".concat(m," = vec4(xTexelC").concat(m-2,".zw, xTexelC").concat(m,".xy);\n                 "):"\n                   xCOffset = xC + 1 - 2;\n\n                   if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                     previous = getX(batch, xR, xCOffset, d1);\n\n                     // Need to manually clear unused channels in case\n                     // we're reading from recycled texture.\n                     if (xCOffset + 1 >= inDims[1]) {\n                       previous.zw = vec2(0.0);\n                     }\n\n                     xC".concat(m," = vec4(previous.zw, xTexelC").concat(m,".xy);\n                   } else {\n                     xC").concat(m," = vec4(0.0, 0.0, xTexelC").concat(m,".xy);\n                   }\n                   ")):p+="\n                 if (xC >= 0 && xC < inDims[1] && xTexelC".concat(m,"Ready == 0) {\n                   xTexelC").concat(m," = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC").concat(m,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(m,"Ready = 1;\n                 }\n\n                 xC").concat(m," = xTexelC").concat(m,";\n                 "),m+1<l)){var g=o%2===0?_l(u):u;u%2===0&&o%2===1||u%2!==0&&o%2!==1?(p+="\n                   xCOffset = xC + imod(pads[1], 2) + ".concat(g,";\n\n                   if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(m+1,"Ready == 0) {\n                     xTexelC").concat(m+1," = getX(batch, xR, xCOffset, d1);\n\n                     // Need to manually clear unused channels in case\n                     // we're reading from recycled texture.\n                     if (xCOffset + 1 >= inDims[1]) {\n                       xTexelC").concat(m+1,".zw = vec2(0.0);\n                     }\n                     xTexelC").concat(m+1,"Ready = 1;\n                   }\n                   "),p+=u>1?"\n                     xCOffset -= 2;\n                     if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                      previous = getX(batch, xR, xCOffset, d1);\n                      xC".concat(m+1," = vec4(previous.zw, xTexelC").concat(m+1,".xy);\n                     } else {\n                      xC").concat(m+1," = vec4(0.0, 0.0, xTexelC").concat(m+1,".xy);\n                     }\n                     "):"\n                     xC".concat(m+1," = vec4(xTexelC").concat(m,".zw, xTexelC").concat(m+1,".xy);\n                     ")):p+=1===g?"\n                     xC".concat(m+1," = xTexelC").concat(m,";\n                     "):"\n                     xCOffset = xC + ".concat(g,";\n\n                     if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(m+1,"Ready == 0) {\n                       xTexelC").concat(m+1," = getX(batch, xR, xCOffset, d1);\n                       if (xCOffset + 1 >= inDims[1]) {\n                         xTexelC").concat(m+1,".zw = vec2(0.0);\n                       }\n                       xTexelC").concat(m+1,"Ready = 1;\n                     }\n\n                     xC").concat(m+1," = xTexelC").concat(m+1,";\n                     ")}}else m<l&&(o%2===1?(p+="\n                 xCOffset = xC + 1 - strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(m,"Ready == 0) {\n                   xTexelC").concat(m," = getX(batch, xR, xCOffset, d1);\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(m,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(m,"Ready = 1;\n                 }\n\n                 if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(m+1,"Ready == 0) {\n                   xTexelC").concat(m+1," = getX(batch, xR, xC + 1, d1);\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xC + 2 >= inDims[1]) {\n                     xTexelC").concat(m+1,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(m+1,"Ready = 1;\n                 }\n\n                 xC").concat(m," = vec4(xTexelC").concat(m,".zw, xTexelC").concat(m+1,".zw);\n               "),m+1<l&&(p+="\n                   final = vec4(0.0);\n                   xCOffset = xC + 1 + strides[1];\n                   if(xCOffset >= 0 && xCOffset < inDims[1]) {\n                     final = getX(batch, xR, xCOffset, d1);\n                   }\n                   xC".concat(m+1," = vec4(xTexelC").concat(m+1,".xy, final.xy);\n                 "))):(p+="\n                 if(xC >= 0 && xC < inDims[1] && xTexelC".concat(m,"Ready == 0) {\n                   xTexelC").concat(m," = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC").concat(m,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(m,"Ready = 1;\n                 }\n\n                 xCOffset = xC + strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(m+1,"Ready == 0) {\n                   xTexelC").concat(m+1," = getX(batch, xR, xCOffset, d1);\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(m+1,".zw = vec2(0.);\n                   }\n                   xTexelC").concat(m+1,"Ready = 1;\n                 }\n\n                 xC").concat(m," = vec4(\n                   xTexelC").concat(m,".xy, xTexelC").concat(m+1,".xy);\n               "),m+1<l&&(p+="\n                   xC".concat(m+1," = vec4(xTexelC").concat(m,".zw, xTexelC").concat(m+1,".zw);\n                 "))));m<l&&(p+="\n             wTexel = getW(r, ".concat(m,", d1, d2);\n             dotProd += xC").concat(m,".xxzz * vec4(wTexel.xy, wTexel.xy);\n             if(d1 + 1 < ").concat(t.inChannels,") {\n               dotProd += xC").concat(m,".yyww * vec4(wTexel.zw, wTexel.zw);\n             }\n           "),m+1<l&&(p+="\n               wTexel = getW(r, ".concat(m+1,", d1, d2);\n               dotProd += xC").concat(m+1,".xxzz * vec4(wTexel.xy, wTexel.xy);\n               if(d1 + 1 < ").concat(t.inChannels,") {\n                 dotProd += xC").concat(m+1,".yyww * vec4(wTexel.zw, wTexel.zw);\n               }\n             ")))}p+="\n     }\n   ",p+="\n     }\n   ",p+="\n     }\n   ";var y="",b="";r&&(y=a?"vec4 activation(vec4 a) {\n           vec4 b = getPreluActivationWeightsAtOutCoords();\n           ".concat(r,"\n         }"):i?"vec4 activation(vec4 a) {\n           vec4 b = getLeakyreluAlphaAtOutCoords();\n           ".concat(r,"\n         }"):"vec4 activation(vec4 x) {\n           ".concat(r,"\n         }"),b="result = activation(result);");var k=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n       ".concat(y,"\n\n       void main() {\n         ivec4 coords = getOutputCoords();\n         int batch = coords.x;\n         ivec2 xRCCorner = coords.yz * strides - pads;\n         int d2 = coords.w;\n         int xRCorner = xRCCorner.x;\n         int xCCorner = xRCCorner.y;\n\n         //intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.\n         vec4 dotProd = vec4(0.000000000000001);\n\n         ").concat(p,"\n\n         vec4 result = dotProd - vec4(0.000000000000001);\n         ").concat(k,"\n         ").concat(b,"\n         setOutput(result);\n       }\n     ")})),gG=P((function e(t,n){M(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=t,this.enableShapeUniforms=kB(this.outputShape.length);for(var r=n.dataFormat,a=JP(),i="channelsLast"===r,o=i?1:2,s=i?2:3,u=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":"if(blockIndex < ".concat(t[2]," && pos < ").concat(t[1],") {"),c="",l=0;l<=1;l++)for(var h=0;h<=1;h++)c+="\n          blockIndex = rc.z + ".concat(h,";\n          pos = rc.y + ").concat(l,";\n\n          ").concat(u,"\n            offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];\n            d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);\n\n            if(d0 < inputShape[").concat(o,"] && d0 >= 0) {\n              // Use custom imod instead mod. On Intel GPU, mod may generate\n              // unexpected value.\n              // https://github.com/tensorflow/tfjs/issues/5447\n              offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n              d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n                  inChannels);\n\n              if(d1 < inputShape[").concat(s,"] && d1 >= 0) {\n\n                ch = imod(pos, inChannels);\n\n                if (").concat(i,") {\n                  innerDims = vec2(d1, ch);\n                  result[").concat(2*l+h,"] = getChannel(\n                    getA(rc.x, d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[").concat(2*l+h,"] = getChannel(\n                    getA(rc.x, ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ");this.userCode="\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        ".concat(c,"\n\n        ").concat(a.output," = result;\n      }\n    ")}));function yG(e,t){var n=e.length;return n>=3?[].concat(_(e.slice(0,-3)),t?[e[n-3]*e[n-2],e[n-1]]:[e[n-3],e[n-2]*e[n-1]]):!t&&1===n&&e[0]>1?[e[0],1]:null}function bG(e){var t,n=e.x,r=e.filter,a=e.convInfo,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,c=void 0===u?null:u,l=e.leakyreluAlpha,h=void 0===l?0:l,p=e.activation,d=void 0===p?null:p,f=n.shape,v=i.texData.get(n.dataId),m=a.inChannels,g=f[0]*f[1]*f[2],y=a.outChannels,b="channelsLast"===a.dataFormat,k=[];if(null!=c){var x=yG(c.shape,b);null!=x&&(c=FU({inputs:{x:c},backend:i,attrs:{shape:x}}),k.push(c))}if(null!=s){var w=yG(s.shape,b);null!=w&&(s=FU({inputs:{x:s},backend:i,attrs:{shape:w}}),k.push(s))}if(!((1===g||1===y)&&m>HU)&&v.isPacked&&b&&null!=v.texture&&f[2]%2!==0&&Ll(v.shape.slice(-3),f.slice(-3))){var S=f[0]*f[1]*(f[2]+1),N={dataId:n.dataId,shape:[1,S,a.inChannels],dtype:n.dtype},I=v.shape;v.shape=v.shape.slice(),v.shape[v.shape.length-2]++,Fl(HP(v.shape,N.shape),(function(){return"packed reshape ".concat(v.shape," to ").concat(N.shape," isn't free")}));var T=FU({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});k.push(T);var E=jU({a:N,b:T,backend:i,transposeA:!1,transposeB:false,bias:s,activation:d,preluActivationWeights:c,leakyreluAlpha:h}),C=i.texData.get(E.dataId);Fl(C.isPacked,(function(){return"batchMatMul result is expected to be packed"})),v.shape=I,C.shape=a.outShape,(t=pU({inputs:{x:E},backend:i})).shape=a.outShape,k.push(E)}else{var _=a.outHeight*a.outWidth,R=FU({inputs:{x:n},backend:i,attrs:{shape:b?[a.batchSize,_,a.inChannels]:[a.batchSize,a.inChannels,_]}}),A=FU({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),F=jU({a:b?R:A,b:b?A:R,transposeA:!b,transposeB:false,backend:i,bias:s,activation:d,preluActivationWeights:c,leakyreluAlpha:h});t=FU({inputs:{x:F},backend:i,attrs:{shape:a.outShape}}),k.push(R),k.push(A),k.push(F)}for(var D=0,O=k;D<O.length;D++){var M=O[D];i.disposeIntermediateTensorInfo(M)}return t}function kG(e){var t=e.x,n=e.filter,r=e.convInfo,a=e.backend,i=e.bias,o=void 0===i?null:i,s=e.preluActivationWeights,u=void 0===s?null:s,c=e.leakyreluAlpha,l=void 0===c?0:c,h=e.activation,p=void 0===h?null:h,d=r.filterWidth,f=r.filterHeight,v=r.inChannels,m=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=d*f*v,k=g*m,x=[r.batchSize,b,k],w=[];if(null!=u){var S=yG(u.shape,y);null!=S&&(u=FU({inputs:{x:u},backend:a,attrs:{shape:S}}),w.push(u))}if(null!=o){var N=yG(o.shape,y);null!=N&&(o=FU({inputs:{x:o},backend:a,attrs:{shape:N}}),w.push(o))}var I=FU({inputs:{x:n},backend:a,attrs:{shape:[1,b,Ml(n.shape)/b]}});w.push(I);var T=new gG(x,r),E=[t.shape,[r.padInfo.top,r.padInfo.left],[r.strideHeight,r.strideWidth],[r.dilationHeight,r.dilationWidth],[r.inChannels],[r.filterWidth*r.inChannels],[r.outWidth]],C=a.runWebGLProgram(T,[t],"float32",E),_=FU({inputs:{x:C},backend:a,attrs:{shape:x}});w.push(C),w.push(_);var R=null!=o,A=null!=u,F="leakyrelu"===p,D=p?IU(p,!0):null,O=new TU(y?_.shape:I.shape,y?I.shape:_.shape,y?[r.batchSize,k,r.outChannels]:[r.batchSize,r.outChannels,k],!0,!1,R,D,A,F),M=y?[_,I]:[I,_];if(o&&M.push(o),A&&M.push(u),F){var L=a.makeTensorInfo([],"float32",Qf(l,"float32"));M.push(L),w.push(L)}var z=a.runWebGLProgram(O,M,"float32"),P=FU({inputs:{x:z},backend:a,attrs:{shape:r.outShape}});w.push(z);for(var B=0,W=w;B<W.length;B++){var U=W[B];a.disposeIntermediateTensorInfo(U)}return P}var xG={kernelName:Kh,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=a.strides,u=a.pad,c=a.dataFormat,l=a.dilations,h=a.dimRoundingMode,p=Vy(c),d=Fy(i.shape,o.shape,s,l,u,h,!1,p);if(1!==d.filterHeight||1!==d.filterWidth||1!==d.dilationHeight||1!==d.dilationWidth||1!==d.strideHeight||1!==d.strideWidth||"SAME"!==d.padInfo.type&&"VALID"!==d.padInfo.type)if(d.strideWidth<=2&&"channelsLast"===p&&ph().getBool("WEBGL_EXP_CONV")){var f=new mG(d),v=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];t=r.runWebGLProgram(f,[i,o],"float32",v)}else if(ph().getBool("WEBGL_CONV_IM2COL"))t=kG({x:i,filter:o,convInfo:d,backend:r});else{var m=new fG(d);t=r.runWebGLProgram(m,[i,o],"float32")}else t=bG({x:i,filter:o,convInfo:d,backend:r});var g=FU({inputs:{x:t},backend:r,attrs:{shape:d.outShape}});return r.disposeIntermediateTensorInfo(t),g}},wG=P((function e(t){M(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideHeight,r=t.strideWidth,a=t.padInfo.top,i=t.padInfo.left,o="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ".concat(t.batchSize,"; b++) {\n          for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n            int xR = wR + yR * ").concat(n," - ").concat(a,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n              int xC = wC + yC * ").concat(r," - ").concat(i,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              ").concat(o?"float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);":"float dyValue = getDy(b, d2, yR, yC);\n              float xValue = getX(b, d1, xR, xC);\n              dotProd += (xValue * dyValue);","\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),SG=P((function e(t){M(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o="channelsLast"===t.dataFormat,s=n-1-t.padInfo.top,u=r-1-t.padInfo.left,c=o?1:2,l=o?2:3,h=o?3:1;this.userCode="\n      const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[").concat(h,"];\n\n        ivec2 dyCorner = ivec2(coords[").concat(c,"], coords[").concat(l,"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2++) {\n\n              if (").concat(o,") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),NG=P((function e(t){M(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.padInfo.front,o=t.padInfo.top,s=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ".concat(t.batchSize,"; b++) {\n          for (int yF = 0; yF < ").concat(t.outDepth,"; yF++) {\n            int xF = wF + yF * ").concat(n," - ").concat(i,";\n\n            if (xF < 0 || xF >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n              int xR = wR + yR * ").concat(r," - ").concat(o,";\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n                int xC = wC + yC * ").concat(a," - ").concat(s,";\n\n                if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),IG=P((function e(t){M(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=n-1-t.padInfo.front,c=r-1-t.padInfo.top,l=a-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3(".concat(u,", ").concat(c,", ").concat(l,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ").concat(n,"; wF++) {\n          float dyF = float(dyFCorner + wF) / ").concat(i,".0;\n\n          if (dyF < 0.0 || dyF >= ").concat(t.outDepth,".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ").concat(n," - 1 - wF;\n\n          for (int wR = 0; wR < ").concat(r,"; wR++) {\n            float dyR = float(dyRCorner + wR) / ").concat(o,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ").concat(r," - 1 - wR;\n\n            for (int wC = 0; wC < ").concat(a,"; wC++) {\n              float dyC = float(dyCCorner + wC) / ").concat(s,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ").concat(a," - 1 - wC;\n\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var TG={kernelName:qh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=r.filterShape,h=Vy(u),p=Fy(a.shape,l,o,1,s,c,!1,h),d=new wG(p);return n.runWebGLProgram(d,[a,i],"float32")}},EG=P((function e(t){M(this,e),this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=t.inShape,this.enableShapeUniforms=kB(this.outputShape.length);var n=t.filterHeight,r=t.filterWidth,a=n-1-t.padInfo.top,i=r-1-t.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2(".concat(a,", ").concat(i,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        vec4 result = vec4(0.);\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / strides[0];\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            float dyC = float(dyCCorner + wC) / strides[1];\n            bool idyCVal = (dyC >= 0.0) && (dyC < ").concat(t.outWidth,".0)\n              && (fract(dyC) == 0.0);\n            int idyC = int(dyC);\n\n            float dyC2 = float(dyCCorner + wC + 1) / strides[1];\n            bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ").concat(t.outWidth,".0)\n              && (fract(dyC2) == 0.0);\n            int idyC2 = int(dyC2);\n\n            if (idyCVal && idyCVal2) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC, d2);\n                vec4 dySample2 = (idyC / 2 == idyC2 / 2) ?\n                  dySample : getDy(batch, idyR, idyC2, d2);\n\n                vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.xy += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n\n                dyValue = mod(float(idyC2), 2.) == 0. ?\n                  dySample2.xy : dySample2.zw;\n                result.zw += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            } else if (idyCVal) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC, d2);\n                vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.xy += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            } else if (idyCVal2) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC2, d2);\n                vec2 dyValue = mod(float(idyC2), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.zw += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            }\n          }\n        }\n        setOutput(result);\n      }\n    ")}));var CG={kernelName:Xh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,c=r.dataFormat,l=r.dimRoundingMode,h=Vy(c),p=Fy(o,i.shape,s,1,u,l,!1,h);if(ph().getBool("WEBGL_PACK")&&"channelsLast"===h){var d=[[p.strideHeight,p.strideWidth]],f=new EG(p);return n.runWebGLProgram(f,[a,i],"float32",d)}var v=new SG(p);return n.runWebGLProgram(v,[a,i],"float32")}};var _G={kernelName:Yh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=Dy(a.shape,i.shape,o,u,s),l=new vG(c);return n.runWebGLProgram(l,[a,i],"float32")}};var RG={kernelName:Qh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape,c=Dy(a.shape,u,o,1,s),l=new NG(c);return n.runWebGLProgram(l,[a,i],"float32")}};var AG,FG={kernelName:Jh,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=Dy(r.inputShape,i.shape,s,1,o),c=new IG(u);return n.runWebGLProgram(c,[a,i],"float32")}},DG=SU({opSnippet:wU+"\n  return cos(x);\n",packedOpSnippet:"\n  vec4 result = cos(x);\n  bvec4 isNaN = isnan(x);\n  ".concat(lU,"\n  return result;\n")}),OG={kernelName:Zh,backendName:"webgl",kernelFunc:DG},MG=SU({opSnippet:"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n"}),LG={kernelName:$h,backendName:"webgl",kernelFunc:MG},zG=P((function e(t,n,r,a,i){M(this,e),this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var o=C(t,4),s=o[0],u=o[1],c=o[2],l=o[3],h=C(n,1)[0],p=C(r,2),d=p[0],f=p[1];this.outputShape=[h,d,f,l];var v="bilinear"===a?1:0,m="".concat(u-1,".0"),g="".concat(c-1,".0"),y=C(d>1?["".concat((u-1)/(d-1)),"(y2-y1) * height_ratio","y1*".concat(m," + float(y)*(height_scale)")]:["0.0","0.0","0.5 * (y1+y2) * ".concat(m)],3),b=y[0],k=y[1],x=y[2],w=C(f>1?["".concat((c-1)/(f-1)),"(x2-x1) * width_ratio","x1*".concat(g," + float(x)*(width_scale)")]:["0.0","0.0","0.5 * (x1+x2) * ".concat(g)],3),S=w[0],N=w[1],I=w[2];this.userCode="\n      const float height_ratio = float(".concat(b,");\n      const float width_ratio = float(").concat(S,");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= ").concat(s,") {\n          return;\n        }\n\n        float height_scale = ").concat(k,";\n        float width_scale = ").concat(N,";\n\n        float in_y = ").concat(x,";\n        if( in_y < 0.0 || in_y > ").concat(m," ) {\n          setOutput(float(").concat(i,"));\n          return;\n        }\n        float in_x = ").concat(I,";\n        if( in_x < 0.0 || in_x > ").concat(g," ) {\n          setOutput(float(").concat(i,"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if(").concat(v," == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    ")})),PG={kernelName:np,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,c=r.extrapolationValue,l=new zG(a.shape,i.shape,s,u,c);return n.runWebGLProgram(l,[a,i,o],"float32")}};!function(e){e.Prod="*",e.Sum="+"}(AG||(AG={}));var BG=P((function e(t,n,r,a){M(this,e),this.op=t,this.outputShape=n,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];var i=this.outputShape.length,o=this.op===AG.Prod?"1.0":"0.0",s=r?o:"getX(".concat(WG(i,"coords",this.op),")"),u=this.outputShape[this.outputShape.length-1],c="",l="";r?(c=a?"end != ".concat(u-1):"end != 0",l=a?"end + 1":"end - 1"):(c=a?"end + pow2 < ".concat(u):"end >= pow2",l=a?"end + pow2":"end - pow2"),this.userCode="\n      void main() {\n        ".concat(dB(i)," coords = getOutputCoords();\n        int end = ").concat(UG(i,"coords",this.op),";\n        float val = ").concat(s,";\n        int pow2 = int(pow(2.0, index));\n        if (").concat(c,") {\n          int idx = ").concat(l,";\n          ").concat(UG(i,"coords",this.op)," = idx;\n          val ").concat(this.op,"= getX(").concat(WG(i,"coords",this.op),");\n        }\n        setOutput(val);\n      }\n    ")}));function WG(e,t,n){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".x, ").concat(t,".y");if(3===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z");if(4===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z, ").concat(t,".w");throw new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function UG(e,t,n){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".y");if(3===e)return"".concat(t,".z");if(4===e)return"".concat(t,".w");throw new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function VG(e,t,n,r,a,i){var o=t.shape.length,s=Wb([r],o),u=t;null!=s&&(u=VU({inputs:{x:t},backend:n,attrs:{perm:s}}));var c=Vb(1,o)[0];if(c!==o-1)throw new Error("WebGL cumprod shader expects an inner-most axis=".concat(t.shape.length-1," ")+"but got axis=".concat(r));for(var l=u.shape[c],h=pU({inputs:{x:u},backend:n}),p=0;p<=Math.ceil(Math.log2(l))-1;p++){var d=new BG(e,u.shape,!1,i),f=[[p]],v=h;h=n.runWebGLProgram(d,[h],h.dtype,f),n.disposeIntermediateTensorInfo(v)}if(a){var m=new BG(e,u.shape,a,i),g=h;h=n.runWebGLProgram(m,[h],h.dtype),n.disposeIntermediateTensorInfo(g)}if(null!=s){var y=VU({inputs:{x:h},backend:n,attrs:{perm:Ub(s)}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(u),y}return h}var GG={kernelName:ep,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return VG(AG.Prod,a,n,i,o,s)}};var HG={kernelName:tp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return VG(AG.Sum,a,n,i,o,s)}};var jG={kernelName:rp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=n.readSync(a.dataId),c=n.readSync(i.dataId),l=WB(u,c,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}if(2===a.shape.length){var h=n.bufferSync(a),p=n.bufferSync(i),d=UB(h,p,o,s);return n.makeTensorInfo(d.shape,i.dtype,d.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}},KG=function(){function e(t,n,r){M(this,e),this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=n,this.dataFormat=r,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ".concat(this.getHeightCoordString(),";\n      int w = ").concat(this.getWidthCoordString(),";\n      int d = ").concat(this.getDepthCoordString(),";\n\n      int in_h = h / ").concat(n,";\n      int offset_h = imod(h, ").concat(n,");\n      int in_w = w / ").concat(n,";\n      int offset_w = imod(w, ").concat(n,");\n      int offset_d = (offset_h * ").concat(n," + offset_w) *\n        ").concat(this.getOutputDepthSize(),";\n      int in_d = d + offset_d;\n\n      float result = ").concat(this.getInputSamplingString(),";\n      setOutput(result);\n    }\n  ")}return P(e,[{key:"getHeightCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}},{key:"getWidthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}},{key:"getDepthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}},{key:"getOutputDepthSize",value:function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}},{key:"getInputSamplingString",value:function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}]),e}();var qG={kernelName:ap,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat,s=a.shape[0],u=("NHWC"===o?a.shape[1]:a.shape[2])*i,c=("NHWC"===o?a.shape[2]:a.shape[3])*i,l=("NHWC"===o?a.shape[3]:a.shape[1])/(i*i),h=new KG("NHWC"===o?[s,u,c,l]:[s,l,u,c],i,o);return n.runWebGLProgram(h,[a],a.dtype)}},XG=P((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];M(this,e),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=kB(this.outputShape.length);var o=t.filterHeight,s=t.filterWidth,u=t.outChannels/t.inChannels,c="",l="";r&&(c=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):i?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),l="result = activation(result);");var h=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(c,"\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ").concat(u,";\n        int q = d2 - d1 * ").concat(u,";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ").concat(o,"; wR++) {\n          int xR = xRCorner + wR * dilations[0];\n\n          if (xR < 0 || xR >= inDims[0]) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(s,"; wC++) {\n            int xC = xCCorner + wC * dilations[1];\n\n            if (xC < 0 || xC >= inDims[1]) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ").concat(h,"\n        ").concat(l,"\n        setOutput(result);\n      }\n    ")})),YG=P((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];M(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=kB(this.outputShape.length);for(var o=t.outChannels/t.inChannels,s=t.padInfo.left,u=t.strideWidth,c=t.dilationWidth,l=t.filterHeight,h=t.filterWidth,p=h,d="\n      int xR; int xC; int xCOffset;\n      vec4 wTexel; vec4 previous; vec4 final;",f=0;f<h;f++)d+="\n          vec4 xTexelC".concat(2*f,";\n          int xTexelC").concat(2*f,"Ready;\n          vec4 xTexelC").concat(2*f+1,";\n          int xTexelC").concat(2*f+1,"Ready;\n          vec4 xC").concat(f,";");d+="\n    for (int r = 0; r < ".concat(l,"; r++) {\n      ");for(var v=0;v<h;v++)d+="\n          xTexelC".concat(2*v," = vec4(0.0);\n          xTexelC").concat(2*v,"Ready = 0;\n          xTexelC").concat(2*v+1," = vec4(0.0);\n          xTexelC").concat(2*v+1,"Ready = 0;\n          xC").concat(v," = vec4(0.0);");d+="\n        xR = xRCorner + r * dilations[0];\n        if (xR >=0 && xR < inDims[0]) {\n      ";for(var m=0;m<(p+1)/2;m++){var g=2*m;if(d+="\n          xC = xCCorner + ".concat(g*c,";\n          "),1===u){if(g<h&&(s%2===1?(d+="\n                xCOffset = xC + 1;\n                if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                  xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(g,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(g,"Ready = 1;\n                }\n              "),d+=1===c&&g>0?"\n                xC".concat(g," = vec4(xTexelC").concat(g-2,".zw, xTexelC").concat(g,".xy);\n                "):"\n                  xCOffset = xC + 1 - 2;\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                    previous = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      previous.zw = vec2(0.0);\n                    }\n\n                    xC".concat(g," = vec4(previous.zw, xTexelC").concat(g,".xy);\n                  } else {\n                    xC").concat(g," = vec4(0.0, 0.0, xTexelC").concat(g,".xy);\n                  }\n                  ")):d+="\n                if (xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                  xTexelC").concat(g," = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC").concat(g,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(g,"Ready = 1;\n                }\n\n                xC").concat(g," = xTexelC").concat(g,";\n                "),g+1<h)){var y=s%2===0?_l(c):c;c%2===0&&s%2===1||c%2!==0&&s%2!==1?(d+="\n                  xCOffset = xC + imod(pads[1], 2) + ".concat(y,";\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                    xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      xTexelC").concat(g+1,".zw = vec2(0.0);\n                    }\n                    xTexelC").concat(g+1,"Ready = 1;\n                  }\n                  "),d+=c>1?"\n                    xCOffset -= 2;\n                    if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                     previous = getX(batch, xR, xCOffset, d1);\n                     xC".concat(g+1," = vec4(previous.zw, xTexelC").concat(g+1,".xy);\n                    } else {\n                     xC").concat(g+1," = vec4(0.0, 0.0, xTexelC").concat(g+1,".xy);\n                    }\n                    "):"\n                    xC".concat(g+1," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".xy);\n                    ")):d+=1===y?"\n                    xC".concat(g+1," = xTexelC").concat(g,";\n                    "):"\n                    xCOffset = xC + ".concat(y,";\n\n                    if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                      xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n                      if (xCOffset + 1 >= inDims[1]) {\n                        xTexelC").concat(g+1,".zw = vec2(0.0);\n                      }\n                      xTexelC").concat(g+1,"Ready = 1;\n                    }\n\n                    xC").concat(g+1," = xTexelC").concat(g+1,";\n                    ")}}else g<h&&(s%2===1?(d+="\n                xCOffset = xC + 1 - strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                  xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(g,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(g,"Ready = 1;\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                  xTexelC").concat(g+1," = getX(batch, xR, xC + 1, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xC + 2 >= inDims[1]) {\n                    xTexelC").concat(g+1,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(g+1,"Ready = 1;\n                }\n\n                xC").concat(g," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".zw);\n              "),g+1<h&&(d+="\n                  final = vec4(0.0);\n                  xCOffset = xC + 1 + strides[1];\n                  if(xCOffset >= 0 && xCOffset < inDims[1]) {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xC".concat(g+1," = vec4(xTexelC").concat(g+1,".xy, final.xy);\n                "))):(d+="\n                if(xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                  xTexelC").concat(g," = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC").concat(g,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(g,"Ready = 1;\n                }\n\n                xCOffset = xC + strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && 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").concat(t.outHeight,"; yR++) {\n            int xR = wR + yR * ").concat(n," - ").concat(a,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n              int xC = wC + yC * ").concat(r," - ").concat(i,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),ZG=P((function e(t){M(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=n-1-t.padInfo.top,s=r-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2(".concat(o,", ").concat(s,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < ").concat(u,"; dm++) {\n              int d2 = d1 * ").concat(u," + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var $G={kernelName:op,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape,h=Fy(a.shape,l,o,s,u,c,!0),p=new JG(h);return n.runWebGLProgram(p,[a,i],"float32")}};var eH={kernelName:sp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=Fy(r.inputShape,i.shape,o,s,u,c,!0),h=new ZG(l);return n.runWebGLProgram(h,[a,i],"float32")}},tH=P((function e(t){M(this,e),this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n      void main() 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aH={kernelName:cp,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=a.strides,u=a.pad,c=a.dilations,l=_y(i.shape,o.shape,s,u,"NHWC",c),h=new rH(l),p=FU({inputs:{x:t=r.runWebGLProgram(h,[i,o],"float32")},backend:r,attrs:{shape:l.outShape}});return r.disposeIntermediateTensorInfo(t),p}};var iH={kernelName:dp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,a=pw(e.attrs.equation,r.length),i=a.allDims,o=a.summedDims,s=a.idDims;fw(i.length,s,r);for(var u=vw(o,s),c=u.path,l=u.steps,h=l.length,p=null,d=i.length,f=[],v=0;v<h;++v){var m,g=O(l[v]);try{for(g.s();!(m=g.n()).done;){var y=m.value,b=dw(d,s[y]),k=b.permutationIndices,x=b.expandDims,w=void 0;mw(k)?w=r[y]:(w=VU({inputs:{x:r[y]},backend:n,attrs:{perm:k}}),f.push(w));for(var 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a1)*t*exp(-x*x));\n")}),pH={kernelName:mp,backendName:"webgl",kernelFunc:hH},dH=SU({opSnippet:wU+"\n  return exp(x);\n",packedOpSnippet:"\n  vec4 result = exp(x);\n  bvec4 isNaN = isnan(x);\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",cpuKernelImpl:qB,dtype:"float32"}),fH={kernelName:yp,backendName:"webgl",kernelFunc:dH};function vH(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.dim,i=t.input,o=i.shape.length,s=i.shape.slice(),u=a;return a<0&&(Fl(-(o+1)<=a,(function(){return"Axis must be in the interval [".concat(-(o+1),", ").concat(o,"]")})),u=o+a+1),s.splice(u,0,1),FU({inputs:{x:i},backend:r,attrs:{shape:s}})}var mH={kernelName:bp,backendName:"webgl",kernelFunc:vH},gH="return exp(x) - 1.0;",yH=SU({opSnippet:gH,packedOpSnippet:gH,cpuKernelImpl:XB}),bH={kernelName:kp,backendName:"webgl",kernelFunc:yH},kH=P((function e(t,n,r){M(this,e),this.variableNames=["real","imag"];var a=n[1];this.outputShape=n;var i,o=r?"2.0 * ".concat(Math.PI):"-2.0 * ".concat(Math.PI),s=r?"".concat(a,".0"):"1.0";if("real"===t)i="return real * expR - imag * expI;";else{if("imag"!==t)throw new Error('FFT component must be either "real" or "imag", got '.concat(t,"."));i="return real * expI + imag * expR;"}this.userCode="\n      const float exponentMultiplier = ".concat(o,";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        ").concat(i,"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float(").concat(a,");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < ").concat(a,"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / ").concat(s,";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    ")}));function xH(e,t,n){var r=n.texData.get(e.dataId),a=Ml(e.shape),i=e.shape[e.shape.length-1],o=FU({inputs:{x:e},backend:n,attrs:{shape:[a/i,i]}}),s=o.shape,u=new kH("real",s,t),c=new kH("imag",s,t),l=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:s},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:s}],h=n.runWebGLProgram(u,l,"float32"),p=n.runWebGLProgram(c,l,"float32"),d=fU({inputs:{real:h,imag:p},backend:n});n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p);var f=FU({inputs:{x:d},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(d),f}var wH={kernelName:xp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return xH(t.input,!1,n)}},SH=P((function e(t,n){M(this,e),this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}));function NH(e){var t=e.backend,n=e.attrs,r=n.shape,a=n.value,i=n.dtype;if("string"===(i=i||Ql(a))){var o=jl(i,Ml(r));return o.fill(a),t.makeTensorInfo(r,i,o)}var s=new SH(r,a),u=[[a]];return t.runWebGLProgram(s,[],i,u)}var IH,TH={kernelName:wp,backendName:"webgl",kernelFunc:NH},EH=P((function e(t){M(this,e),this.variableNames=["Image"],this.outputShape=[];var n=t[2];this.outputShape=t,this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n\n          int coordX = ".concat(n," - x - 1;\n          float outputValue;\n          if(coordX >= 0 && coordX < ").concat(n,") {\n            outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n          } else {\n            outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n          }\n          setOutput(outputValue);\n        }\n    ")})),CH={kernelName:Sp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.image,a=n,i=new EH(r.shape);return a.runWebGLProgram(i,[r],r.dtype)}},_H="return floor(x);",RH=SU({opSnippet:_H,packedOpSnippet:_H,cpuKernelImpl:YB}),AH={kernelName:Np,backendName:"webgl",kernelFunc:RH},FH=NU({opSnippet:"\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  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WH(o,p,[l,h],r.shape),b=n.runWebGLProgram(y,[f,d],f.dtype),k=FU({inputs:{x:b},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(b),k}},VH=P((function e(t,n){M(this,e),this.variableNames=["A","indices"],this.outputShape=n,this.rank=n.length;var r=dB(this.rank),a=function(e,t){for(var n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[],a=0;a<e.length;a++)2===a?r.push("index"):r.push("".concat(n[a]));return r.join()}(t);this.userCode="\n      void main() {\n        ".concat(r," resRC = getOutputCoords();\n        int index = int(getIndices(resRC.x, resRC.z));\n        float inBounds = (index >= 0) && (index < ").concat(t[2],") ? 1.0 : 0.0;\n        setOutput(inBounds * getA(").concat(a,"));\n      }\n    ")}));function GH(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=Vl(o,a.shape)[0];if(ph().get("DEBUG"))for(var c=n.readSync(i.dataId),l=a.shape[u],h=function(){var 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b);",packedOpSnippet:"\n  return vec4(lessThanEqual(a, b));\n",cpuKernelImpl:tW,dtype:"bool"}),ij={kernelName:Bp,backendName:"webgl",kernelFunc:aj};var oj={kernelName:Wp,backendName:"webgl",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.num,o=nW(r,a,i);return t.makeTensorInfo([o.length],"float32",o)}},sj=SU({opSnippet:wU+"\n  return x < 0.0 ? 0./0. : log(x);\n",packedOpSnippet:"\n  vec4 result = log(x);\n  bvec4 isNaN = isnan(x);\n  result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n  result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n  result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n  result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n  return result;\n",cpuKernelImpl:rW}),uj={kernelName:Up,backendName:"webgl",kernelFunc:sj},cj=SU({opSnippet:wU+"\n  return log(1.0 + x);\n"}),lj={kernelName:Vp,backendName:"webgl",kernelFunc:cj},hj=NU({opSnippet:"return float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n  return vec4(\n    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coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -".concat(s,"; j <= ").concat(s,"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ").concat(u,") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ").concat(o,";\n        setOutput(val);\n      }\n    ")})),yj=P((function e(t,n,r,a,i){M(this,e),this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var o,s=n,u=t[3]-1;this.outputShape=t;var c="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(c,")"):1===i?"1.0/(".concat(c,")"):"exp(log(".concat(c,") * float(-").concat(i,"));"),this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ".concat(this.outputShape[3],";\n        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= xAtOutputCoords * ").concat(o,";\n        setOutput(result);\n      }\n    ")})),bj={kernelName:Kp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.depthRadius,o=r.bias,s=r.alpha,u=r.beta,c=ph().getBool("WEBGL_PACK_NORMALIZATION")?new yj(a.shape,i,o,s,u):new gj(a.shape,i,o,s,u);return n.runWebGLProgram(c,[a],a.dtype)}},kj=P((function e(t,n,r,a,i){M(this,e),this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=n,this.bias=r,this.alpha=a,this.beta=i,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < ".concat(this.depth,"; ++d) {\n          int depthBegin = int(max(0.0, float(d - ").concat(n,")));\n          int depthEnd = int(min(float(").concat(this.depth,"),\n              float(d + ").concat(n," + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ").concat(this.depth,";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float(").concat(a,") * norm + float(").concat(r,");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float(").concat(a,")\n                * float(").concat(i,")\n                * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n     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Tj={kernelName:Qp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;YP(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Fl(Wy(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=Ry(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&Ll(c.inShape,c.outShape))return pU({inputs:{x:a},backend:n});var l=new NV(c,"max",!1);return n.runWebGLProgram(l,[a],a.dtype)}};var Ej={kernelName:Zp,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=Ay(a.shape,i,o,[1,1,1],s,c,u),h=new IV(l,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}},Cj=P((function e(t){M(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideHeight,r=t.strideWidth,a=t.dilationHeight,i=t.effectiveFilterHeight,o=t.effectiveFilterWidth,s=i-1-t.padInfo.top,u=o-1-t.padInfo.left,c=i*o-1;this.userCode="\n      const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(i,";\n          wR += ").concat(a,") {\n          float dyR = float(dyRCorner + wR) / ").concat(n,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(o,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(r,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ").concat(c," - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ").concat(o," + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),_j=P((function e(t){M(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterDepth,c=t.effectiveFilterHeight,l=t.effectiveFilterWidth,h=u-1-t.padInfo.front,p=c-1-t.padInfo.top,d=l-1-t.padInfo.left,f=u*c*l-1;this.userCode="\n      const ivec3 pads = ivec3(".concat(h,", ").concat(p,", ").concat(d,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ").concat(u,";\n           wD += ").concat(i,") {\n          float dyD = float(dyDCorner + wD) / ").concat(n,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(c,";\n              wR += ").concat(o,") {\n            float dyR = float(dyRCorner + wR) / ").concat(r,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(l,";\n                wC += ").concat(s,") {\n              float dyC = float(dyCCorner + wC) / ").concat(a,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = ").concat(f," -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * ").concat(c," * ").concat(l," +\n                  wR * ").concat(l," + wC;\n              float mask = float(maxPosValue == curPosValue ? 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"+"Got strides ".concat(o," and dilations '").concat(l,"'")}));var h=Ry(a.shape,i,o,l,s),p=function(e,t,n,r){var a=new NV(n,"max",!1),i=r.runWebGLProgram(a,[e],"float32");return a=new NV(n,"max",!0,!0,t),[i,r.runWebGLProgram(a,[e],"float32")]}(a,u,h,c),d=C(p,2);return[d[0],d[1]]}};var Dj={kernelName:td,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.keepDims,o=n.axis,s=r,u=a.shape.length,c=Vl(o,a.shape),l=c,h=Wb(l,u),p=null!=h,d=s.shouldExecuteOnCPU([a]),f=[],v=a;if(p){if(d){for(var m=s.texData.get(v.dataId).values,g=new Array(u),y=0;y<g.length;y++)g[y]=a.shape[h[y]];var b=FW(m,a.shape,a.dtype,h,g);v=s.makeTensorInfo(g,a.dtype),s.texData.get(v.dataId).values=b}else v=BU(a,h,s);f.push(v),l=Vb(l.length,u)}Bb("sum",l,u);var k=C(zb(v.shape,l),2),x=k[0],w=k[1],S=x;i&&(S=Pb(x,c));for(var N=function(e,t,n,r){var a=Ml(t),i=FU({inputs:{x:e},attrs:{shape:[Ml(e.shape)/a,a]},backend:r}),o=LU(i,"float32","mean",r),s=FU({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(v,w,S,s),I=0,T=f;I<T.length;I++){var E=T[I];s.disposeIntermediateTensorInfo(E)}return N}};var Oj={kernelName:nd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=Vl(i,a.shape),c=u,l=Wb(c,s),h=a;null!=l&&(h=VU({inputs:{x:a},backend:n,attrs:{perm:l}}),c=Vb(c.length,a.shape.length)),Bb("min",c,s);var p,d=C(zb(h.shape,c),2),f=d[0],v=FU({inputs:{x:h},backend:n,attrs:{shape:[-1,Ml(d[1])]}}),m=LU(v,v.dtype,"min",n);return p=FU(o?{inputs:{x:m},backend:n,attrs:{shape:Pb(f,u)}}:{inputs:{x:m},backend:n,attrs:{shape:f}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}},Mj=NU({opSnippet:uU+"\n  return min(a, b);\n",packedOpSnippet:"\n  vec4 result = vec4(min(a, b));\n  bvec4 isNaNA = isnan(a);\n  bvec4 isNaNB = isnan(b);\n  bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n  "+lU+"\n  return result;\n",cpuKernelImpl:oW}),Lj={kernelName:rd,backendName:"webgl",kernelFunc:Mj},zj=P((function e(t,n,r){M(this,e),this.variableNames=["x"],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,i=dB(a),o=n.map((function(e){return e[0]})).join(","),s=n.map((function(e,n){return e[0]+t[n]})).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),c="reflect"===r?0:1;this.userCode=1!==a?"\n      ".concat(i," start = ").concat(i,"(").concat(o,");\n      ").concat(i," end = ").concat(i,"(").concat(s,");\n\n      void main() {\n        ").concat(i," outC = getOutputCoords();\n        for (int i = 0; i < ").concat(a,"; i++) {\n          if (outC[i] < start[i]) {\n            outC[i] = start[i] * 2 - outC[i] - ").concat(c,";\n          } else if(outC[i] >= end[i]) {\n            outC[i] = (end[i] - 1) * 2 - outC[i] + ").concat(c,";\n          }\n        }\n        ").concat(i," coords = outC - start;\n        setOutput(getX(").concat(u,"));\n      }\n    "):"\n        int start = ".concat(o,";\n        int end = ").concat(s,";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start) {\n            outC = start * 2 - outC - ").concat(c,";\n          } else if(outC >= end) {\n            outC = (end - 1) * 2 - outC + ").concat(c,";\n          }\n          setOutput(getX(outC - start));\n        }\n      ")})),Pj=P((function e(t,n,r){M(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,i=dB(a),o=n.map((function(e){return e[0]})).join(","),s=n.map((function(e,n){return e[0]+t[n]})).join(","),u=MW("rc",a),c=MW("source",a),l="".concat(u[a-1]," < ").concat(this.outputShape[a-1]),h=1===a?"source":"vec2(".concat(c.slice(-2).join(),")"),p="reflect"===r?0:1,d="";if(1===a){var f="\n        ".concat(i," source = rc;\n        if (source < start) {\n          source = start * 2 - source - ").concat(p,";\n        } else if (source >= end) {\n          source = (end - 1) * 2 - source + ").concat(p,";\n        }\n        source -= start;\n      ");d="\n        ".concat(i," rc = outputLoc;\n        ").concat(f,"\n        result[0] = getChannel(getX(").concat(c.join(),"), ").concat(h,");\n        ").concat(u[a-1]," += 1;\n        if(").concat(l,") {\n          ").concat(f,"\n          result[1] = getChannel(getX(").concat(c.join(),"), ").concat(h,");\n        }\n      ")}else{var v="\n        ".concat(i," source = rc;\n        ").concat(i," lt = ").concat(i,"(lessThan(source, start));\n        ").concat(i," gte = ").concat(i,"(greaterThanEqual(source, end));\n        ").concat(i," orig = 1 - (lt + gte);\n        source = orig * source +\n                lt * (start * 2 - source - ").concat(p,") +\n                gte * ((end - 1) * 2 - source + ").concat(p,");\n        source -= start;\n      ");d="\n        ".concat(i," rc = outputLoc;\n        ").concat(v,"\n        result[0] = getChannel(getX(").concat(c.join(),"), ").concat(h,");\n        ").concat(u[a-1]," += 1;\n        if(").concat(l,") {\n          ").concat(v,"\n          result[1] = getChannel(getX(").concat(c.join(),"), ").concat(h,");\n        }\n        rc = outputLoc;\n        ").concat(u[a-2]," += 1;\n        if(").concat(u[a-2]," < ").concat(this.outputShape[a-2],") {\n          ").concat(v,"\n          result[2] = getChannel(getX(").concat(c.join(),"), ").concat(h,");\n          ").concat(u[a-1]," += 1;\n          if(").concat(l,") {\n            ").concat(v,"\n            result[3] = getChannel(getX(").concat(c.join(),"), ").concat(h,");\n          }\n        }\n      ")}this.userCode="\n      const ".concat(i," start = ").concat(i,"(").concat(o,");\n      const ").concat(i," end = ").concat(i,"(").concat(s,");\n\n      void main() {\n        ").concat(i," outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ").concat(d,"\n        setOutput(result);\n      }\n    ")})),Bj={kernelName:ad,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.mode,s=ph().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Pj(a.shape,i,o):new zj(a.shape,i,o);return n.runWebGLProgram(s,[a],a.dtype)}},Wj=NU({opSnippet:"if (b == 0.0) return NAN;\n  return mod(a, b);",packedOpSnippet:"\n  vec4 result = mod(a, b);\n  bvec4 isNaN = equal(b, vec4(0.0));\n  "+lU+"\n  return result;\n"}),Uj={kernelName:id,backendName:"webgl",kernelFunc:Wj},Vj=P((function e(t,n,r){M(this,e),this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[t,r],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < ".concat(n-1,"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float(").concat(n-1,"));\n      }\n    ")})),Gj=NU({opSnippet:"\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",packedOpSnippet:"\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n",checkOutOfBounds:!0}),Hj={kernelName:pp,backendName:"webgl",kernelFunc:Gj},jj="return a - b;",Kj=NU({opSnippet:jj,packedOpSnippet:jj,supportsComplex:!0,cpuKernelImpl:_W}),qj={kernelName:hf,backendName:"webgl",kernelFunc:Kj};function Xj(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=Vl([r.dim],a.shape),o=wj({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),s=Pb(o.shape,i),u=FU({inputs:{x:o},backend:n,attrs:{shape:s}}),c=Kj({inputs:{a:a,b:u},backend:n}),l=dH({inputs:{x:c},backend:n}),h=WU({inputs:{x:l},backend:n,attrs:{axis:i,keepDims:!1}}),p=FU({inputs:{x:h},backend:n,attrs:{shape:s}}),d=Gj({inputs:{a:l,b:p},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),d}var Yj={kernelName:Jd,backendName:"webgl",kernelFunc:Xj};var Qj={kernelName:od,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=r.numSamples,o=r.seed,s=r.normalized,u=s?a:Xj({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),c=u.shape[0],l=u.shape[1],h=new Vj(c,l,i),p=[[o]],d=n.runWebGLProgram(h,[u],"int32",p);return s||n.disposeIntermediateTensorInfo(u),d}},Jj=GW+"\n  return -x;\n";var Zj={kernelName:ud,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])){var i=r.texData.get(a.dataId),o=C(uW(i.values,a.shape,a.dtype),2),s=o[0],u=o[1];return r.makeTensorInfo(u,a.dtype,s)}return t=ph().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new nU(a.shape,"\n  vec4 result = -x;\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"):new VW(a.shape,Jj),r.runWebGLProgram(t,[a],a.dtype)}},$j=tx;var eK={kernelName:ld,backendName:"webgl",kernelFunc:function(e){Ef("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=n.readSync(a.dataId),l=n.readSync(i.dataId),h=$j(c,l,o,s,u).selectedIndices;return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}},tK=nx;var nK={kernelName:hd,backendName:"webgl",kernelFunc:function(e){Ef("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.padToMaxOutputSize,l=n.readSync(a.dataId),h=n.readSync(i.dataId),p=tK(l,h,o,s,u,c),d=p.selectedIndices,f=p.validOutputs;return[n.makeTensorInfo([d.length],"int32",new Int32Array(d)),n.makeTensorInfo([],"int32",new Int32Array([f]))]}},rK=rx;var aK={kernelName:pd,backendName:"webgl",kernelFunc:function(e){Ef("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma,l=n.readSync(a.dataId),h=n.readSync(i.dataId),p=rK(l,h,o,s,u,c),d=p.selectedIndices,f=p.selectedScores;return[n.makeTensorInfo([d.length],"int32",new Int32Array(d)),n.makeTensorInfo([f.length],"float32",new Float32Array(f))]}},iK=P((function e(t,n,r,a){M(this,e),this.variableNames=["indices"],this.outputShape=[t,n],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(".concat(a,"), float(").concat(r,"),\n                      float(index == coords.y)));\n      }\n    ")})),oK={kernelName:fd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.dtype,o=r.depth,s=r.onValue,u=r.offValue,c=Ml(a.shape),l=new iK(c,o,s,u),h=FU({inputs:{x:a},backend:n,attrs:{shape:[c]}}),p=n.runWebGLProgram(l,[h],i);n.disposeIntermediateTensorInfo(h);var d=FU({inputs:{x:p},backend:n,attrs:{shape:[].concat(_(a.shape),[o])}});return n.disposeIntermediateTensorInfo(p),d}};function sK(e){var t=e.inputs,n=e.backend,r=t.x;if("complex64"===r.dtype){var a=qV({inputs:{input:r},backend:n}),i=sK({inputs:{x:a},backend:n}),o=cG({inputs:{input:r},backend:n}),s=sK({inputs:{x:o},backend:n}),u=fU({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return NH({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}var uK={kernelName:xf,backendName:"webgl",kernelFunc:sK};var cK={kernelName:dd,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n.x;if("string"===a.dtype)throw new Error("onesLike is not supported under string dtype");if("complex64"===a.dtype){var i=qV({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=cG({inputs:{input:a},backend:r}),u=sK({inputs:{x:s},backend:r}),c=fU({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),c}return NH({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}};var lK={kernelName:vd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return vH({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){Dl(a,e.shape,"All tensors passed to stack must have matching shapes"),Fl(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=pG({inputs:t.map((function(e){var t=vH({inputs:{input:e},backend:n,attrs:{dim:r}});return o.push(t),t})),backend:n,attrs:{axis:r}});return o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),s}},hK=P((function e(t,n,r){M(this,e),this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,i=dB(a),o=n.map((function(e){return e[0]})).join(","),s=n.map((function(e,n){return e[0]+t[n]})).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);this.userCode=1!==a?"\n      ".concat(i," start = ").concat(i,"(").concat(o,");\n      ").concat(i," end = ").concat(i,"(").concat(s,");\n\n      void main() {\n        ").concat(i," outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(value);\n        } else {\n          ").concat(i," coords = outC - start;\n          setOutput(getX(").concat(u,"));\n        }\n      }\n    "):"\n        int start = ".concat(o,";\n        int end = ").concat(s,";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(value);\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      ")})),pK=P((function e(t,n,r){M(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));for(var a=t.length,i=dB(a),o=n.map((function(e){return e[0]})).join(","),s=n.map((function(e,n){return e[0]+t[n]})).join(","),u=MW("rc",a),c=MW("source",a),l="".concat(u[a-1]," < ").concat(this.outputShape[a-1]),h=1===a?"source":"vec2(".concat(c.slice(-2).join(),")"),p=["".concat(i," rc = outputLoc;"),"".concat(u[a-1]," += 1;\n       if(").concat(l,") {\n      "),1===a?"":"}\n       rc = outputLoc;\n       ".concat(u[a-2]," += 1;\n       if(").concat(u[a-2]," < ").concat(this.outputShape[a-2],") {"),1===a?"":"  ".concat(u[a-1]," += 1;\n         if(").concat(l,") {")],d=1===a?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",v=0,m=1===a?2:4;v<m;v++)f+="\n        ".concat(p[v],"\n        if (").concat(d,") {\n          result[").concat(v,"] = float(value);\n        } else {\n          ").concat(i," source = rc - start;\n          result[").concat(v,"] = getChannel(getX(").concat(c.join(),"), ").concat(h,");\n        }\n      ");f+=1===a?"} ":"}}",this.userCode="\n      const ".concat(i," start = ").concat(i,"(").concat(o,");\n      const ").concat(i," end = ").concat(i,"(").concat(s,");\n\n      void main() {\n        ").concat(i," outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ").concat(f,"\n        setOutput(result);\n      }\n    ")})),dK=function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;if(0===Ml(a.shape)){var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]}));return NH({backend:n,attrs:{shape:s,value:o,dtype:a.dtype}})}var u=ph().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new pK(a.shape,i,o):new hK(a.shape,i,o),c=[[o]];return n.runWebGLProgram(u,[a],a.dtype,c)},fK={kernelName:md,backendName:"webgl",kernelFunc:dK},vK=NU({opSnippet:"\n  if(a < 0.0 && floor(b) < b){\n    return NAN;\n  }\n  if (b == 0.0) {\n    return 1.0;\n  }\n  return (round(mod(b, 2.0)) != 1) ?\n      pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",packedOpSnippet:"\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  bvec4 isNaN1 = lessThan(a, vec4(0.0));\n  bvec4 isNaN2 = lessThan(floor(b), b);\n  bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);\n  "+lU+"\n  return result;\n"}),mK={kernelName:gd,backendName:"webgl",kernelFunc:vK};var gK={kernelName:bd,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.axis,s=a.keepDims,u=i.shape.length,c=[],l=Vl(o,i.shape),h=l,p=Wb(h,u),d=i;if(null!=p&&(d=VU({inputs:{x:i},backend:r,attrs:{perm:p}}),h=Vb(h.length,u),c.push(d)),Bb("prod",h,u),r.shouldExecuteOnCPU([d])){var f=r.texData.get(d.dataId).values,v=lW(d.shape,d.dtype,f,h),m=v.outVals,g=v.outShape,y=v.outDtype;t=r.makeTensorInfo(g,y,m)}else{var b=C(zb(d.shape,h),2),k=b[0],x=Ml(b[1]),w=FU({inputs:{x:d},backend:r,attrs:{shape:[-1,x]}}),S=LU(w,Tv(i.dtype),"prod",r);t=FU({inputs:{x:S},backend:r,attrs:{shape:k}}),c.push(w),c.push(S)}if(s){c.push(t);var N=Pb(t.shape,l);t=FU({inputs:{x:t},backend:r,attrs:{shape:N}})}return c.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}};var yK={kernelName:kd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.paramsNestedSplits,i=t.paramsDenseValues,o=t.indices,s=r.outputRaggedRank,u=a.map((function(e){return n.readSync(e.dataId)})),c=a.map((function(e){return e.shape})),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=C(hW(u,c,l,i.shape,i.dtype,h,o.shape,s),3),d=p[0],f=p[1],v=p[2],m=d.map((function(e){return n.makeTensorInfo([e.length],"int32",e)})),g=n.makeTensorInfo(v,i.dtype,f);return m.concat([g])}};var bK={kernelName:xd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.starts,a=t.limits,i=t.deltas,o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=C(pW(o,r.shape,r.dtype,s,a.shape,u,i.shape),2),l=c[0],h=c[1];return[n.makeTensorInfo([l.length],"int32",l),n.makeTensorInfo([h.length],r.dtype,h)]}};var kK={kernelName:wd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.shape,i=t.values,o=t.defaultValue,s=t.rowPartitionTensors,u=r.rowPartitionTypes,c=n.readSync(a.dataId),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=s.map((function(e){return n.readSync(e.dataId)})),d=s.map((function(e){return e.shape})),f=C(dW(c,a.shape,l,i.shape,i.dtype,h,o.shape,p,d,u),2),v=f[0],m=f[1];return n.makeTensorInfo(v,i.dtype,m)}},xK=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=fW(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},wK={kernelName:Sd,backendName:"webgl",kernelFunc:xK},SK=SU({opSnippet:"return 1.0 / x;"}),NK={kernelName:Id,backendName:"webgl",kernelFunc:SK},IK=SU({opSnippet:GW+"\n  return (x < 0.0) ? 0.0 : x;\n",packedOpSnippet:"\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),TK={kernelName:Td,backendName:"webgl",kernelFunc:IK},EK=SU({opSnippet:GW+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",packedOpSnippet:"\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),CK={kernelName:Fd,backendName:"webgl",kernelFunc:EK},_K=P((function e(t,n,r,a,i){M(this,e),this.variableNames=["A"],this.outputShape=[];var o=C(t,4),s=o[0],u=o[1],c=o[2],l=o[3];this.outputShape=[s,n,r,l];var h,p=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];h=i?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(p[0]/d[0],",\n          ").concat(p[1]/d[1],");\n      const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = ").concat(h,";\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    ")})),RK=P((function e(t,n,r,a,i){M(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=C(t,4),s=o[0],u=o[1],c=o[2],l=o[3];this.outputShape=[s,n,r,l];var h,p=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];h=i?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(p[0]/d[0],",\n          ").concat(p[1]/d[1],",\n          ").concat(p[1]/d[1],");\n      const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n                                     ").concat(c,".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = ").concat(h,";\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ").concat(l-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    ")}));var AK={kernelName:Rd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=C(r.size,2),u=s[0],c=s[1],l=ph().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new RK(a.shape,u,c,i,o):new _K(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],"float32")}},FK=P((function e(t,n,r){M(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=C(n,3),i=a[1],o=a[2],s=C(t,3),u=s[1],c=s[2],l=[r&&u>1?i-1:i,r&&c>1?o-1:o],h=[r&&u>1?u-1:u,r&&c>1?c-1:c],p=l[0]/h[0],d=l[1]/h[1],f=1/p,v=1/d,m=2*Math.ceil(f)+2,g=2*Math.ceil(v)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(".concat(p,");\n        const float widthScale = float(").concat(d,");\n\n        const float invHeightScale = float(").concat(f,");\n        const float invWidthScale = float(").concat(v,");\n\n        const int winHeight = int(").concat(m,");\n        const int winWidth = int(").concat(g,");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ").concat(u,") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ").concat(c,") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ").concat(i-1,".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), ").concat(o-1,".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    ")}));var DK={kernelName:Ad,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new FK(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},OK=P((function e(t,n,r,a,i){M(this,e),this.variableNames=["A"],this.outputShape=[];var o=C(t,4),s=o[0],u=o[1],c=o[2],l=o[3];this.outputShape=[s,n,r,l];var h,p=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r],f=a?"0.5":"0.0";h=i?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(p[0]/d[0],",\n          ").concat(p[1]/d[1],");\n      const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = ").concat(h,";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(f,")));\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    ")})),MK=P((function e(t,n,r,a,i){M(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=C(t,4),s=o[0],u=o[1],c=o[2],l=o[3];this.outputShape=[s,n,r,l];var h,p=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r],f=a?"0.5":"0.0";h=i?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(p[0]/d[0],",\n          ").concat(p[1]/d[1],",\n          ").concat(p[1]/d[1],");\n      const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n                                     ").concat(c,".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = ").concat(h,";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec3 sourceNearestRC = ivec3(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(f,")));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ").concat(l-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,";\n\n        vec4 newValue = vec4(\n          getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n          hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n        setOutput(newValue);\n      }\n    ")}));var LK={kernelName:Cd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=C(r.size,2),u=s[0],c=s[1],l=ph().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new MK(a.shape,u,c,i,o):new OK(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],a.dtype)}},zK=P((function e(t,n,r){M(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=C(n,3),i=a[1],o=a[2],s=C(t,3),u=s[1],c=s[2],l=[r&&u>1?i-1:i,r&&c>1?o-1:o],h=[r&&u>1?u-1:u,r&&c>1?c-1:c],p=l[0]/h[0],d=l[1]/h[1],f=1/p,v=1/d,m=2*Math.ceil(f)+2,g=2*Math.ceil(v)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(".concat(p,");\n        const float widthScale = float(").concat(d,");\n\n        const float invHeightScale = float(").concat(f,");\n        const float invWidthScale = float(").concat(v,");\n\n        const int winHeight = int(").concat(m,");\n        const int winWidth = int(").concat(g,");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ").concat(u,") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ").concat(c,") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(").concat(l[0],") *\n                (float(dyR) / float(").concat(h[0],"));\n\n            float sourceFracCol =\n                float(").concat(l[1],") *\n                  (float(dyC) / float(").concat(h[1],"));\n\n            int sourceNearestRow = int(min(\n                float(int(").concat(i,") - 1),\n                ").concat(r," ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(").concat(o,") - 1),\n                ").concat(r," ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    ")}));var PK={kernelName:_d,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new zK(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},BK=P((function e(t,n){M(this,e),this.variableNames=["x"];var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));if(this.outputShape=t,1!==r){var a=t.map((function(e,r){return function(e){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - coords[").concat(e,"] - 1"):"coords[".concat(e,"]")}(r)})).join(","),i=dB(r);this.userCode="\n      void main() {\n        ".concat(i," coords = getOutputCoords();\n        setOutput(getX(").concat(a,"));\n      }\n    ")}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(".concat(t[0]," - coord - 1));\n        }\n      ")})),WK=P((function e(t,n){M(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));this.outputShape=t;var a=MW("rc",r),i="".concat(a[r-1]," + 1 < ").concat(this.outputShape[r-1]),o="".concat(a[r-2]," + 1 < ").concat(this.outputShape[r-2]),s=dB(r);function u(e){var r=t.map((function(r,a){return function(e,r){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - ").concat(r[e]," - 1"):"".concat(r[e])}(a,e)})),a=r.join(","),i=r.slice(-2).join(",");return"getChannel(getX(".concat(a,"), vec2(").concat(i,"))")}this.userCode=1===r?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(".concat(t[0]," - rc - 1),\n            ").concat(t[0]," - rc - 1);\n          if(").concat(i,"){\n              result.g = getChannel(getX(").concat(t[0]," - (rc  + 1) - 1),\n                ").concat(t[0]," - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      "):"\n        void main() {\n          ".concat(s," rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ").concat(function(e){return u(e)}(a.slice()),";\n          if(").concat(i,"){\n            result.g = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",u(e)}(a.slice()),";\n          }\n          if(").concat(o,") {\n            result.b = ").concat(function(e){return e[r-2]="("+e[r-2]+" + 1)",u(e)}(a.slice()),";\n            if(").concat(i,") {\n              result.a = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",e[r-2]="("+e[r-2]+" + 1)",u(e)}(a.slice()),";\n            }\n          }\n          setOutput(result);\n        }\n    ")}));var UK={kernelName:Dd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dims,o=a.shape.length,s=Vl(i,a.shape);if(0===o)return pU({inputs:{x:a},backend:n});var u=ph().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new WK(a.shape,s):new BK(a.shape,s);return n.runWebGLProgram(u,[a],a.dtype)}},VK=P((function e(t,n){M(this,e),this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];var r=t[1],a=t[2];this.outputShape=t;var i="";i="number"===typeof n?"float outputValue = ".concat(n.toFixed(2),";"):"\n        vec3 fill = vec3(".concat(n.join(","),");\n        float outputValue = fill[coords[3]];"),this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n          int y = coords[1];\n          float coordXFloat = (float(x) - params[0]) * params[3] -\n            (float(y) - params[1]) * params[2];\n          float coordYFloat = (float(x) - params[0]) * params[2] +\n            (float(y) - params[1]) * params[3];\n          int coordX = int(round(coordXFloat + params[0]));\n          int coordY = int(round(coordYFloat + params[1]));\n          ".concat(i,"\n          if(coordX >= 0 && coordX < ").concat(a," && coordY >= 0 && coordY < ").concat(r,") {\n            outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n          }\n          setOutput(outputValue);\n        }\n    ")})),GK={kernelName:Sf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.image,i=n.radians,o=n.fillValue,s=n.center,u=r,c=new VK(a.shape,o),l=C(Vx(s,a.shape[1],a.shape[2]),2),h=[[l[0],l[1],Math.sin(i),Math.cos(i)]];return u.runWebGLProgram(c,[a],a.dtype,h)}},HK=SU({opSnippet:"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n"}),jK={kernelName:Od,backendName:"webgl",kernelFunc:HK},KK=SU({opSnippet:"return inversesqrt(x);",cpuKernelImpl:vW}),qK={kernelName:Md,backendName:"webgl",kernelFunc:KK},XK=P((function e(t,n,r,a,i,o){var s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];M(this,e),this.variableNames=["updates","indices","defaultValue"],this.outputShape=o;var u=dB(i.length),c=dB(o.length),l="";1===r?l="i":2===r&&(l="i, j");var h="getIndices(".concat(l,")"),p="";1===a?p="i":2===a&&(p="i, coords[1]");var d="getUpdates(".concat(p,")"),f="";s&&(f="coords[0], coords[1]");var v="getDefaultValue(".concat(f,")"),m=n>1?"strides[j]":"strides";this.userCode="\n        ".concat(u," strides = ").concat(u,"(").concat(i,");\n\n        void main() {\n          ").concat(c," coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < ").concat(t,"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < ").concat(n,"; j++) {\n              int index = round(").concat(h,");\n              flattenedIndex += index * ").concat(m,";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += ").concat(d,";\n              found = true;\n            }\n          }\n          setOutput(mix(").concat(v,", sum, float(found)));\n        }\n      ")})),YK=P((function e(t,n,r,a,i,o){var s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];M(this,e),this.variableNames=["updates","indices","defaultValue"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=o;var u=dB(i.length),c=dB(o.length),l="";1===r?l="i":2===r&&(l="i, j");var h="getIndices(".concat(l,")"),p="";1===a?p="i":2===a&&(p="i, coords[1]");var d="getUpdates(".concat(p,")"),f="";s&&(f="coords[0], coords[1]");var v="getDefaultValue(".concat(f,")"),m=n>1?"strides[j]":"strides",g=n>1?"strides[j + 1]":"strides";this.userCode="\n        ".concat(u," strides = ").concat(u,"(").concat(i,");\n\n        void main() {\n          ").concat(c," coords = getOutputCoords();\n          vec4 sum = vec4(0.);\n          vec4 found = vec4(0.);\n          for (int i = 0; i < ").concat(t,"; i+=2) {\n            ivec2 flattenedIndex = ivec2(0);\n            for (int j = 0; j < ").concat(n,"; j+=2) {\n              ivec4 index = round(").concat(h,");\n              flattenedIndex += index.xz * ").concat(m,";\n              if (j + 1 < ").concat(n,") {\n                flattenedIndex += index.yw * ").concat(g,";\n              }\n            }\n            if (flattenedIndex[0] == coords[0] || flattenedIndex[1] == coords[0] ||\n                flattenedIndex[0] == coords[0] + 1 || flattenedIndex[1] == coords[0] + 1) {\n              vec4 updVals = ").concat(d,";\n              if (flattenedIndex[0] == coords[0]) {\n                sum.xy += updVals.xy;\n                found.xy = vec2(1.);\n              } else if (flattenedIndex[0] == coords[0] + 1) {\n                sum.zw += updVals.xy;\n                found.zw = vec2(1.);\n              }\n              if (flattenedIndex[1] == coords[0]) {\n                sum.xy += updVals.zw;\n                found.xy = vec2(1.);\n              } else if (flattenedIndex[1] == coords[0] + 1) {\n                sum.zw += updVals.zw;\n                found.zw = vec2(1.);\n              }\n            }\n          }\n          setOutput(mix(").concat(v,", sum, found));\n        }\n      ")}));var QK={kernelName:Ld,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=t.updates,o=r.shape,s=Yx(0,a,o),u=s.sliceRank,c=s.numUpdates,l=s.sliceSize,h=s.strides,p=s.outputSize,d=[p/l,l];if(0===p)return n.makeTensorInfo(o,a.dtype);var f,v=FU({inputs:{x:a},backend:n,attrs:{shape:[c,u]}}),m=FU({inputs:{x:i},backend:n,attrs:{shape:[c,l]}}),g=n.makeTensorInfo([],"float32",new Float32Array([0]));f=ph().getBool("WEBGL_PACK")?new YK(c,u,v.shape.length,m.shape.length,h,d):new XK(c,u,v.shape.length,m.shape.length,h,d);var y=n.runWebGLProgram(f,[m,v,g],m.dtype),b=FU({inputs:{x:y},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(g),b}},JK=P((function e(t,n,r,a){M(this,e),this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[t,r];var i="for (int i = 0; i < ".concat(Math.ceil(Math.log2(n+1)),"; ++i) { if (left >= right) break;"),o=2===ph().getNumber("WEBGL_VERSION")?"while (left < right) {":i,s="left"===a?"<":"<=";this.userCode="\n       int findBound(int batch, float value) {\n         int left = 0;\n         int right = numInputs;\n         int mid;\n         ".concat(o,"\n           mid = (left + right) / 2;\n           if (getSortedSequence(batch, mid) ").concat(s," value) {\n             left = mid + 1;\n           } else {\n             right = mid;\n           }\n         }\n         return right;\n       }\n\n       void main() {\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n         int valueIndex = coords[1];\n\n         float value = getValues(batch, valueIndex);\n\n         setOutput(float(findBound(batch, value)));\n       }\n     ")}));var ZK={kernelName:Pd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.sortedSequence,i=t.values,o=r.side,s=new JK(a.shape[0],a.shape[1],i.shape[1],o),u=[[a.shape[1]]];return n.runWebGLProgram(s,[a,i],"int32",u)}},$K=P((function e(t,n,r){var a,i;if(M(this,e),this.variableNames=["c","a","b"],this.outputShape=n,r>4)throw Error("Where for rank ".concat(r," is not yet supported"));if(1===r)i="resRC",a="resRC";else{for(var o=["resRC.x","resRC.y","resRC.z","resRC.w"],s=[],u=[],c=0;c<n.length;c++)u.push("".concat(o[c])),c<t&&s.push("".concat(o[c]));a=s.join(),i=u.join()}var l=dB(r);this.userCode="\n      void main() {\n        ".concat(l," resRC = getOutputCoords();\n        float cVal = getC(").concat(a,");\n        if (cVal >= 1.0) {\n          setOutput(getA(").concat(i,"));\n        } else {\n          setOutput(getB(").concat(i,"));\n        }\n      }\n    ")}));var eq={kernelName:Bd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.condition,a=t.t,i=t.e,o=new $K(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(o,[r,a,i],Iv(a.dtype,i.dtype))}},tq=SU({opSnippet:"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = ".concat(Qx,";\n  float scale = ").concat(Jx,";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n")}),nq={kernelName:Wd,backendName:"webgl",kernelFunc:tq},rq=SU({opSnippet:wU+"\n  return 1.0 / (1.0 + exp(-1.0 * x));\n",packedOpSnippet:"\n  vec4 result = 1.0 / (1.0 + exp(-1.0 * x));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",cpuKernelImpl:gW}),aq={kernelName:jd,backendName:"webgl",kernelFunc:rq},iq=SU({opSnippet:"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n"}),oq={kernelName:Hd,backendName:"webgl",kernelFunc:iq},sq=SU({opSnippet:wU+"\n  return sin(x);\n",packedOpSnippet:"\n  vec4 result = sin(x);\n  bvec4 isNaN = isnan(x);\n  ".concat(lU,"\n  return result;\n")}),uq={kernelName:Vd,backendName:"webgl",kernelFunc:sq},cq=SU({opSnippet:"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n"}),lq={kernelName:Gd,backendName:"webgl",kernelFunc:cq},hq=SU({opSnippet:"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n"}),pq={kernelName:Kd,backendName:"webgl",kernelFunc:hq},dq={kernelName:Yd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.paddings;Fl(a.shape.length<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var s=i.reduce((function(e,t){return e*t})),u=[[0,0]];u.push.apply(u,_(o));for(var c=1+i.length;c<a.shape.length;++c)u.push([0,0]);var l=[],h=dK({inputs:{x:a},backend:n,attrs:{paddings:u,constantValue:0}}),p=Gx(h.shape,i,s,!1),d=Hx(p.length,i.length,!1),f=jx(h.shape,i,s,!1),v=FU({inputs:{x:h},backend:n,attrs:{shape:p}}),m=VU({inputs:{x:v},backend:n,attrs:{perm:d}}),g=FU({inputs:{x:m},backend:n,attrs:{shape:f}});return l.push(h),l.push(v),l.push(m),l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var fq={kernelName:Zd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.indices,a=t.values,i=t.denseShape,o=t.defaultValue;if(1!==i.shape.length)throw new Error("Dense shape must be a vector, saw:\n         ".concat(i.shape));if(2!==r.shape.length)throw new Error("Indices must be a matrix, saw:\n         ".concat(r.shape));if(1!==a.shape.length)throw new Error("Values must be a vector, saw:\n         ".concat(a.shape));if(0!==o.shape.length)throw new Error("Default value must be a scalar, saw:\n        ".concat(o.shape));var s=n.readSync(r.dataId),u=n.readSync(a.dataId),c=n.readSync(i.dataId),l=n.readSync(o.dataId)[0],h=C(kW(s,r.shape,r.dtype,u,a.dtype,c,l),5),p=h[0],d=h[1],f=h[2],v=h[3],m=h[4];return[n.makeTensorInfo(d,r.dtype,p),n.makeTensorInfo([d[0]],a.dtype,f),n.makeTensorInfo([v.length],"bool",new Uint8Array(v.map((function(e){return Number(e)})))),n.makeTensorInfo([m.length],r.dtype,new Int32Array(m))]}};var vq={kernelName:$d,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.inputIndices,a=t.inputShape,i=t.newShape;if(2!==r.shape.length)throw new Error("Input indices should be a matrix but received shape ".concat(r.shape));if(1!==a.shape.length)throw new Error("Input shape should be a vector but received shape 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n.makeTensorInfo(h,r.dtype,l)}};var gq={kernelName:tf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.data,a=t.indices,i=t.segmentIds;if(r.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.shape.length)throw new Error("Indices should be a vector but received shape\n             ".concat(a.shape));if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n             ".concat(i.shape));var o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=C(wW(o,r.shape,r.dtype,s,u),2),l=c[0],h=c[1];return n.makeTensorInfo(h,r.dtype,l)}};var yq={kernelName:nf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.sparseIndices,i=t.sparseValues,o=t.defaultValue,s=r.outputShape,u=Yx(0,a,s),c=u.sliceRank,l=u.numUpdates,h=u.sliceSize,p=u.strides,d=u.outputSize;if("string"===i.dtype){var f=n.bufferSync(a),v=n.bufferSync(i),m=ev(n.readSync(o.dataId)[0]),g=mW(f,v,s,d,h,l,c,p,m,false);return n.makeTensorInfo(s,g.dtype,g.values)}var y=new XK(l,c,a.shape.length,i.shape.length,p,[d,1],false),b=n.runWebGLProgram(y,[i,a,o],i.dtype),k=FU({inputs:{x:b},backend:n,attrs:{shape:s}});return n.disposeIntermediateTensorInfo(b),k}};var bq={kernelName:Qd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.numOrSizeSplits,o=Vl(r.axis,a.shape)[0],s=yw(a,i,o),u=a.shape.length,c=new Array(u).fill(0),l=a.shape.slice();return s.map((function(e){var t=_(l);t[o]=e;var r=BV({inputs:{x:a},backend:n,attrs:{begin:c,size:t}});return c[o]+=e,r}))}},kq="return sqrt(x);",xq=SU({opSnippet:kq,packedOpSnippet:kq,cpuKernelImpl:SW}),wq={kernelName:qd,backendName:"webgl",kernelFunc:xq},Sq={kernelName:af,backendName:"webgl",kernelFunc:SU({opSnippet:"return x * x;"})},Nq="return (a - b) * (a - b);",Iq=NU({opSnippet:Nq,packedOpSnippet:Nq}),Tq={kernelName:rf,backendName:"webgl",kernelFunc:Iq};var Eq={kernelName:of,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;if("string"!==a.dtype)throw new Error("Input must be of datatype string");var i=Sw(n.readSync(a.dataId)),o=NW(i,"string",r);return n.makeTensorInfo(a.shape,"string",o)}};var Cq={kernelName:wf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=GW+"\n    return x > 0.0 ? 1.0 : float(".concat(n.alpha,");\n  "),o=new VW(a.shape,i);return r.runWebGLProgram(o,[a],a.dtype)}},_q=P((function e(t,n,r){M(this,e),this.variableNames=["x"],this.outputShape=r;var a=r.length,i=dB(r.length),o=dB(r.length),s="";if(1===a)s="coords * strides + begin";else{var u=0;s=r.map((function(e,t){return u++,1===r.length?"coords * strides[".concat(t,"] + begin[").concat(t,"]"):"coords[".concat(u-1,"] * strides[").concat(t,"] + begin[").concat(t,"]")})).join(",")}this.userCode="\n      ".concat(i," begin = ").concat(i,"(").concat(t,");\n      ").concat(i," strides = ").concat(i,"(").concat(n,");\n\n      void main() {\n        ").concat(o," coords = getOutputCoords();\n        setOutput(getX(").concat(s,"));\n      }\n    ")}));var Rq={kernelName:sf,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.begin,s=a.end,u=a.strides,c=a.beginMask,l=a.endMask,h=a.ellipsisMask,p=a.newAxisMask,d=a.shrinkAxisMask,f=Ny(i.shape,o,s,u,c,l,h,p,d),v=f.finalShapeSparse,m=f.finalShape,g=f.isIdentity,y=f.sliceDim0,b=f.isSimpleSlice,k=f.begin,x=f.end,w=f.strides;if(g)t=FU({inputs:{x:i},backend:r,attrs:{shape:m}});else if(y||b){Fl(i.shape.length>=1,(function(){return"Input must have rank at least 1, got: ".concat(i.shape.length)}));var S=ky(k,x,w),N=BV({inputs:{x:i},backend:r,attrs:{begin:k,size:S}});t=FU({inputs:{x:N},backend:r,attrs:{shape:m}}),r.disposeIntermediateTensorInfo(N)}else{if(r.shouldExecuteOnCPU([i])){var I=r.readSync(i.dataId),T=sg(i.shape,i.dtype,I),E=IW(v,T,w,k);t=r.makeTensorInfo(m,i.dtype,E.values)}else{var C=new _q(k,w,v);t=r.runWebGLProgram(C,[i],i.dtype)}}var _=FU({inputs:{x:t},backend:r,attrs:{shape:m}});return r.disposeIntermediateTensorInfo(t),_}};var Aq={kernelName:uf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=r.separator,i=r.nGramWidths,o=r.leftPad,s=r.rightPad,u=r.padWidth,c=r.preserveShortSequences,l=t.data,h=t.dataSplits,p=n.readSync(l.dataId),d=n.readSync(h.dataId),f=C(TW(p,d,a,i,o,s,u,c),2),v=f[0],m=f[1];return[n.makeTensorInfo([v.length],"string",v),n.makeTensorInfo(h.shape,"int32",m)]}};var Fq={kernelName:cf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.skipEmpty,a=t.input,i=t.delimiter;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(1!==a.shape.length)throw new Error("Input must be a vector, got shape: ".concat(a.shape));if(0!==i.shape.length)throw new Error("Delimiter must be a scalar, got shape: ".concat(i.shape));var o=n.readSync(a.dataId),s=n.readSync(i.dataId)[0],u=C(EW(o,s,r),3),c=u[0],l=u[1],h=u[2],p=l.length;return[n.makeTensorInfo([p,2],"int32",c),n.makeTensorInfo([p],"string",l),n.makeTensorInfo([2],"int32",new Int32Array(h))]}};var Dq={kernelName:lf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.numBuckets,a=t.input;if("string"!==a.dtype)throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");var i=n.readSync(a.dataId),o=CW(i,r);return n.makeTensorInfo(a.shape,"int32",o)}},Oq=SU({opSnippet:"return tan(x);"}),Mq={kernelName:pf,backendName:"webgl",kernelFunc:Oq},Lq=SU({opSnippet:"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n"}),zq={kernelName:df,backendName:"webgl",kernelFunc:Lq};var Pq={kernelName:zd,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.tensor,i=t.indices,o=t.updates;!function(e){if(null==e)throw new TypeError("Cannot destructure "+e)}(r);var s=Yx(0,i,a.shape),u=s.sliceRank,c=s.numUpdates,l=s.sliceSize,h=s.strides,p=s.outputSize,d=[p/l,l];if(0===p)return n.makeTensorInfo(a.shape,i.dtype);var f=FU({inputs:{x:i},backend:n,attrs:{shape:[c,u]}}),v=FU({inputs:{x:o},backend:n,attrs:{shape:[c,l]}}),m=FU({inputs:{x:a},backend:n,attrs:{shape:d}}),g=new XK(c,u,f.shape.length,v.shape.length,h,d,!1,!0),y=n.runWebGLProgram(g,[v,f,m],m.dtype),b=FU({inputs:{x:y},backend:n,attrs:{shape:a.shape}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),b}},Bq=P((function e(t,n){M(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[a]*n[a];this.outputShape=r,this.rank=r.length;var i=dB(this.rank),o=function(e){var t=e.length;if(t>5)throw Error("Tile for rank ".concat(t," is not yet supported"));if(1===t)return"imod(resRC, ".concat(e[0],")");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<e.length;a++)r.push("imod(".concat(n[a],", ").concat(e[a],")"));return r.join()}(t);this.userCode="\n      void main() {\n        ".concat(i," resRC = getOutputCoords();\n        setOutput(getA(").concat(o,"));\n      }\n    ")}));function Wq(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reps;if("string"===a.dtype||a.shape.length>5){var o=n.readSync(a.dataId),s="string"===a.dtype?o.map((function(e){return ev(e)})):o,u=sg(a.shape,a.dtype,s),c=RW(u,i);return n.makeTensorInfo(c.shape,c.dtype,c.values)}var l=new Bq(a.shape,i);return n.runWebGLProgram(l,[a],a.dtype)}var Uq={kernelName:ff,backendName:"webgl",kernelFunc:Wq},Vq=P((function e(t){M(this,e),this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=t,this.userCode="\n       void main() {\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n         int elemIdx = coords[1];\n\n         // We compare elements pair-wise within a group of size 2 * inc.\n         // The comparing rule for each group alternates between ascending\n         // and descending. Within each group, we compare each pair at\n         // positions i and i+inc. To decide whether an element at position i\n         // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n         // inc, it is in the first half of the group, we denote it as x0,\n         // otherwise we denote it as x1.\n         // For example, as shown in the Bitonic top K paper referenced above,\n         // Figure5(a) shows that element[1] is in the\n         // second half of the group when group size is 2, but it is in the\n         // first half of the group when group size is 4.\n\n         bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n         int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n         int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n         float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n         float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n         // Denotes which direction indices are in (ascending or descending).\n         bool reverse = imod(elemIdx, 2 * dir) >= dir;\n         bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n         if (reverse == isGreater) { // Elements in opposite order of direction\n           int iTemp = i0;\n           i0 = i1;\n           i1 = iTemp;\n         }\n         if (isFirstInPair) {\n            setOutput(float(i0));\n         } else {\n            setOutput(float(i1));\n         }\n       }\n     "})),Gq=P((function e(t){M(this,e),this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=t,this.userCode="\n    void main() {\n         // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n         int elemIdx = coords[1];\n\n         // The output size is half of the previous size.\n         // If the previous sequence is | | | | _ _ _ _  | | | |  _ _ _ _ (k=4),\n         // we only need to output the indices at positions |, the indices at\n         // positions _ can be thrown away, see Figure5(b) After Phase 2\n         // (Merge phase) in the Bitonic Top K paper referenced above.\n         // For example, the paper shows we only need to output the orange bars.\n         // The output sequence should look like this | | | | | | | |.\n         // Because the sequence is halved, to map the output index back\n         // to the previous sequence to find the corresponding value,\n         // we need to double the index. When we double the index,\n         // we basically interpolate a position, so 2i looks like\n         // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n         // of each 2k positions by - elemIdx % k. E.g. for output at\n         // index 4,5,6,7, we want to get the corresponding element at\n         // original index 8,9,10,11, for output at index 8,9,10,11,\n         // we want to get the corresponding element at original index\n         // 16,17,18,19, so on and so forth.\n\n         int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n         int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n         float x0 = getX(batch, i0);\n         float x1 = i1 < n ? getX(batch, i1) : x0;\n\n         setOutput(x0 >= x1 ? float(i0) : float(i1));\n       }\n     "}));function Hq(e,t){null!==t&&e.disposeIntermediateTensorInfo(t)}function jq(e){for(var t=1;t<e;)t*=2;return t}var Kq={kernelName:vf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.k,o=r.sorted,s=ph().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),u=ph().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),c=a.shape,l=c[c.length-1];if(n.shouldExecuteOnCPU([a])||l<s||i>u){var h=n.readSync(a.dataId),p=C(AW(h,c,a.dtype,i,o),2),d=p[0],f=p[1];return[n.makeTensorInfo(d.shape,d.dtype,d.values),n.makeTensorInfo(f.shape,f.dtype,f.values)]}if(0===i)return c[c.length-1]=0,[n.makeTensorInfo(c,a.dtype,[]),n.makeTensorInfo(c,"int32",[])];if(1===l)return[a,NH({attrs:{shape:c,dtype:"int32",value:0},backend:n})];var v=n.texData.get(a.dataId),m=null!==v&&v.isPacked,g=m?n.unpackTensor(a):a,y=Ml(c)/l,b=FU({inputs:{x:g},attrs:{shape:[y,l]},backend:n});m&&Hq(n,g);for(var k=jq(i),x=jq(l),w=null,S=function(){return null===w?[b,b]:[b,w]},N=function(e,t,r){var a=S(),i=new Vq(r),o=[[l],[null===w?1:0],[Number.NEGATIVE_INFINITY],[e],[t]],s=w;w=n.runWebGLProgram(i,a,"int32",o),Hq(n,s)},I=1;I<k;I*=2)for(var T=2*I,E=I;E>=1;E/=2)N(T,E,[y,x]);for(var _=x;_>k;_/=2){var R=S(),A=new Gq([y,_/2]),F=[[l],[null===w?1:0],[k]],D=w;w=n.runWebGLProgram(A,R,"int32",F),Hq(n,D);for(var O=k/2,M=2*O,L=O;L>=1;L/=2)N(M,L,w.shape)}var z=w;w=BV({inputs:{x:w},backend:n,attrs:{begin:0,size:[y,i]}}),Hq(n,z);var P=GH({inputs:{x:b,indices:w},backend:n,attrs:{axis:1,batchDims:1}});Hq(n,b);var B=c.slice(0,-1);B.push(i),z=w,w=FU({inputs:{x:w},attrs:{shape:B},backend:n}),Hq(n,z);var W=P;return P=FU({inputs:{x:P},attrs:{shape:B},backend:n}),Hq(n,W),[P,w]}},qq=P((function e(t,n,r,a,i,o){M(this,e),this.variableNames=["Image","Transforms"],this.outputShape=o;var s,u="nearest"===r?1:2;switch(a){case"constant":default:s=1;break;case"reflect":s=2;break;case"wrap":s=3;break;case"nearest":s=4}this.userCode="\n            float mapCoord(float outCoord, float len) {\n              float inCoord = outCoord;\n              if(".concat(s," == 2) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                 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                  float sz = len - 1.0;\n                    inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz = len - 1.0;\n                    inCoord -= len * float(int(float(inCoord / sz)));\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if (").concat(s," == 4) {\n                return clamp(outCoord, 0.0, len - 1.0);\n              } else {\n                return outCoord;\n              }\n            }\n\n            float readWithFillValue(int batch, int coordY, int coordX,\n              int channel) {\n              float outputValue;\n              if (0 <= coordY && coordY < ").concat(t," && 0 <= coordX && coordX < ").concat(n,") {\n                  outputValue = getImage(batch, coordY, coordX, channel);\n              } else {\n                outputValue = float(").concat(i,");\n              }\n              return outputValue;\n            }\n\n            void main() {\n              ivec4 coords = getOutputCoords();\n              float outputValue;\n              int batch = coords[0];\n              int x = coords[2];\n              int y = coords[1];\n              int channel = coords[3];\n              float xf = float(x);\n              float yf = float(y);\n              float a1 = getTransforms(batch, 0);\n              float a2 = getTransforms(batch, 1);\n              float a3 = getTransforms(batch, 2);\n              float b1 = getTransforms(batch, 3);\n              float b2 = getTransforms(batch, 4);\n              float b3 = getTransforms(batch, 5);\n              float c1 = getTransforms(batch, 6);\n              float c2 = getTransforms(batch, 7);\n              float projection = c1 * xf + c2 * yf + 1.0;\n              if (projection == 0.0) {\n                outputValue = float(").concat(i,");\n              } else {\n                float inX = (a1 * xf + a2 * yf + a3) / projection;\n                float inY = (b1 * xf + b2 * yf + b3) / projection;\n                float mapX = mapCoord(inX, float(").concat(n,"));\n                float mapY = mapCoord(inY, float(").concat(t,"));\n\n                if (").concat(u," == 1) {\n                  int coordY = int(round(mapY));\n                  int coordX = int(round(mapX));\n                  outputValue = readWithFillValue(batch, coordY, coordX,\n                    channel);\n                } else {\n                  float yFloor = floor(mapY);\n                  float xFloor = floor(mapX);\n                  float yCeil = yFloor + 1.0;\n                  float xCeil = xFloor + 1.0;\n                  float valueYFloor = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n                  float valueYCeil = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n                  outputValue = (yCeil - mapY) * valueYFloor +\n                  (mapY - yFloor) * valueYCeil;\n                }\n              }\n              setOutput(outputValue);\n            }\n        ")}));var Xq={kernelName:mf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.transforms,o=r.interpolation,s=r.fillMode,u=r.fillValue,c=r.outputShape,l=C(a.shape,4),h=l[0],p=l[1],d=l[2],f=l[3],v=C(null!=c?c:[p,d],2),m=v[0],g=v[1],y=new qq(p,d,o,s,u,[h,m,g,f]);return n.runWebGLProgram(y,[a,i],"float32")}};var Yq={kernelName:yf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.axis,i=t.x;YP(i,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var o=r.readSync(i.dataId),s=DW(o,a,i.shape,i.dtype),u=s.outputValues,c=s.outputShape,l=s.indices;return[r.makeTensorInfo(c,i.dtype,u),r.makeTensorInfo([l.length],"int32",l)]}};var Qq={kernelName:bf,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.value,i=r.axis;i<0&&(i+=a.shape.length);for(var o=a,s=o.shape.length,u=a.shape[i],c=new Array(s-1),l=0,h=0;h<s;h++)h!==i&&(c[l++]=o.shape[h]);var p=[],d=new Array(s).fill(0),f=o.shape.slice();f[i]=1;for(var v=new Array(u),m=0;m<v.length;m++){d[i]=m;var g=BV({inputs:{x:o},backend:n,attrs:{begin:d,size:f}}),y=FU({inputs:{x:g},backend:n,attrs:{shape:c}});v[m]=y,p.push(g)}return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}},Jq=P((function e(t,n){M(this,e),this.variableNames=["x","segmentIds"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.numSegments,s=o*Math.ceil(i/r);this.outputShape=[a,s];var u=4*Math.floor(r/4),c=r%4,l="\n        sumValue += dot(values, segFilter);\n    ",h="";i%r>0&&(h="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return initializationValue;\n        }\n      "));var p="";i%r>0&&(p="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return -1.0;\n        }\n      ")),this.userCode="\n      const float initializationValue = ".concat("0.0",";\n\n      float getValue(int batch, int inIdx) {\n        ").concat(h,"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        ").concat(p,"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          ").concat(o,")) * float(").concat(r,"));\n        int currentSeg = int(mod(float(outIdx), float(").concat(o,")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ").concat(u,"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          ").concat(l,"\n        }\n\n        int inIdx = inOffset + ").concat(u,";\n        if (").concat(1===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          ").concat(l,"\n        } else if (").concat(2===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          ").concat(l,"\n        } else if (").concat(3===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n      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