diff --git a/THIRD_PARTY.txt b/THIRD_PARTY.txt
index 74730a4f..503bbf57 100644
--- a/THIRD_PARTY.txt
+++ b/THIRD_PARTY.txt
@@ -1719,6 +1719,7 @@ https://cdnjs.cloudflare.com/ajax/libs/Swiper/4.5.1/css/swiper.min.css
 https://cdnjs.cloudflare.com/ajax/libs/Swiper/4.5.1/js/swiper.min.js
 https://cdnjs.cloudflare.com/ajax/libs/Swiper/5.4.5/css/swiper.min.css
 https://cdnjs.cloudflare.com/ajax/libs/Swiper/5.4.5/js/swiper.min.js
+https://cdnjs.cloudflare.com/ajax/libs/tensorflow/4.1.0/tf.min.js
 https://cdnjs.cloudflare.com/ajax/libs/tether/1.4.7/js/tether.min.js
 https://cdnjs.cloudflare.com/ajax/libs/tinymce/5.10.5/icons/default/icons.min.js
 https://cdnjs.cloudflare.com/ajax/libs/tinymce/5.10.5/jquery.tinymce.min.js
diff --git a/core/mappings.js b/core/mappings.js
index d6ea89c8..9e032599 100644
--- a/core/mappings.js
+++ b/core/mappings.js
@@ -504,6 +504,8 @@ mappings.cdn = {
             'Swiper/{version}/swiper-bundle.js': resources.swiperJS,
             'Swiper/{version}/swiper-bundle.min.css': resources.swiperCSS,
             'Swiper/{version}/swiper-bundle.css': resources.swiperCSS,
+            'tensorflow/{version}/tf.min.js': resources.tensorflow,
+            'tensorflow/{version}/tf.js': resources.tensorflow,
             'tether/{version}/js/tether.': resources.tetherJS,
             'tinymce/{version}/': resources.tinymce,
             'tooltipster/{version}/js/jquery.tooltipster.': resources.jQueryTooltipster,
@@ -711,6 +713,8 @@ mappings.cdn = {
             'slick-carousel@{version}/slick/slick.css': resources.slickCarouselCSS,
             'slick-carousel@{version}/slick/slick.min.js': resources.slickCarouselJS,
             'slick-carousel@{version}/slick/slick.js': resources.slickCarouselJS,
+            '@tensorflow/tfjs@{version}/dist/tf.min.js': resources.tensorflow,
+            '@tensorflow/tfjs@{version}/dist/tf.js': resources.tensorflow,
             'underscore@{version}/underscore.': resources.underscore,
             'underscore@{version}/underscore-min.': resources.underscore,
             'urlize.js/urlize.js': resources.urlize,
diff --git a/core/resources.js b/core/resources.js
index 9224205f..81bd61fd 100644
--- a/core/resources.js
+++ b/core/resources.js
@@ -1065,6 +1065,10 @@ var resources = {
     'swiperCSS': {
         'path': 'resources/Swiper/{version}/css/swiper.min.css'
     },
+    // tensorflow
+    'tensorflow': {
+        'path': 'resources/tensorflow/{version}/tf.min.jsm'
+    },
     // Tether JS [Deprecated]
     'tetherJS': {
         'path': 'resources/tether/{version}/js/tether.min.jsm'
diff --git a/modules/internal/targets.js b/modules/internal/targets.js
index 5d42b094..cff5bd8d 100644
--- a/modules/internal/targets.js
+++ b/modules/internal/targets.js
@@ -449,6 +449,9 @@ targets.setLastVersion = function (type, version) {
     if (type.startsWith('/Swiper/6.')) return '6.8.4';
     if (type.startsWith('/Swiper/7.')) return '7.4.1';
     if (type.startsWith('/Swiper/8.') || type.startsWith('/Swiper/')) return '8.4.5';
+    if (type.startsWith('/tensorflow/2.')) return '4.1.0';
+    if (type.startsWith('/tensorflow/3.')) return '4.1.0';
+    if (type.startsWith('/tensorflow/4.')) return '4.1.0';
     if (type.startsWith('/tether/1.')) return '1.4.7';
     if (type.startsWith('/tinymce/5.')) return '5.10.5';
     if (type.startsWith('/tinymce/6.')) return '6.3.1';
@@ -506,6 +509,7 @@ targets.determineResourceName = function (filename) {
 };
 
 const ListOfFiles = {
+    'tf.min.jsm': 'tensorflow',
     'nprogress.min.jsm': 'nprogress (JS)',
     'nprogress.min.css': 'nprogress (CSS)',
     'swagger-ui-bundle.min.jsm': 'Swagger-UI (JS)',
diff --git a/pages/updates/updates.html b/pages/updates/updates.html
index ad76002a..fb8c4dfc 100644
--- a/pages/updates/updates.html
+++ b/pages/updates/updates.html
@@ -41,6 +41,7 @@
                         <p>Added</p>
                         <ul>
                             <li>nprogress v0.2.0 (<a href="https://codeberg.org/nobody/LocalCDN/issues/1254">#1254</a>)</li>
+                            <li>tensorflow v4.1.0 (<a href="https://codeberg.org/nobody/LocalCDN/issues/1264">#1264</a>)</li>
                         </ul>
                         <p>Improved</p>
                         <ul>
diff --git a/resources/tensorflow/4.1.0/tf.min.jsm b/resources/tensorflow/4.1.0/tf.min.jsm
new file mode 100644
index 00000000..c634f00e
--- /dev/null
+++ b/resources/tensorflow/4.1.0/tf.min.jsm
@@ -0,0 +1,18 @@
+/**
+ * @license
+ * Copyright 2022 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e=e||self).tf=e.tf||{})}(this,(function(e){"use strict";var t="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{};function n(e,t){return e(t={exports:{}},t.exports),t.exports}var r=function(e){return e&&e.Math==Math&&e},a=r("object"==typeof globalThis&&globalThis)||r("object"==typeof window&&window)||r("object"==typeof self&&self)||r("object"==typeof t&&t)||function(){return this}()||Function("return this")(),i=function(e){try{return!!e()}catch(e){return!0}},o=!i((function(){return 7!=Object.defineProperty({},1,{get:function(){return 7}})[1]})),s={}.propertyIsEnumerable,u=Object.getOwnPropertyDescriptor,l=u&&!s.call({1:2},1)?function(e){var 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e=this.high,t=this.low;return[e>>>24,e>>>16&255,e>>>8&255,255&e,t>>>24,t>>>16&255,t>>>8&255,255&t]},nw.fromBytes=function(e,t,n){return n?nw.fromBytesLE(e,t):nw.fromBytesBE(e,t)},nw.fromBytesLE=function(e,t){return new nw(e[0]|e[1]<<8|e[2]<<16|e[3]<<24,e[4]|e[5]<<8|e[6]<<16|e[7]<<24,t)},nw.fromBytesBE=function(e,t){return new nw(e[4]<<24|e[5]<<16|e[6]<<8|e[7],e[0]<<24|e[1]<<16|e[2]<<8|e[3],t)};var Sw=ew||{__proto__:null,default:ew,__moduleExports:ew};function Tw(e){return Sw.fromString(e,!0,16)}var Cw=Tw("c3a5c85c97cb3127"),Ew=Tw("b492b66fbe98f273"),Aw=Tw("9ae16a3b2f90404f");function Rw(e){return e.xor(e.shru(47))}function _w(e,t,n){var r=e.slice(t,t+n);return Sw.fromBytes(Array.from(r),!0,!0)}function Ow(e,t){return _w(e,t,8)}function Fw(e,t){return _w(e,t,4)}function Dw(e,t){return 0===t?e:e.shru(t).or(e.shl(64-t))}function Mw(e,t,n){void 0===n&&(n=Tw("9ddfea08eb382d69"));var r=e.xor(t).mul(n);r=r.xor(r.shru(47));var a=t.xor(r).mul(n);return a=(a=a.xor(a.shru(47))).mul(n)}function Lw(e,t,n,r){return function(e,t,n,r,a,i){a=a.add(e),i=Dw(i.add(a).add(r),21);var o=a;return a=(a=a.add(t)).add(n),i=i.add(Dw(a,44)),[a.add(r),i.add(o)]}(Ow(e,t),Ow(e,t+8),Ow(e,t+16),Ow(e,t+24),n,r)}function zw(e,t){void 0===t&&(t=e.length);var n=Sw.fromNumber(81,!0);if(t<=32)return t<=16?function(e,t){if(void 0===t&&(t=e.length),t>=8){var n=Aw.add(2*t),r=Ow(e,0).add(Aw),a=Ow(e,t-8);return Mw(Dw(a,37).mul(n).add(r),Dw(r,25).add(a).mul(n),n)}if(t>=4){var i=Aw.add(2*t);return Mw(Fw(e,0).shl(3).add(t),Fw(e,t-4),i)}if(t>0){var o=e[0]+(e[t>>1]<<8),s=t+(e[t-1]<<2);return Rw(Aw.mul(o).xor(Cw.mul(s))).mul(Aw)}return Aw}(e,t):function(e,t){void 0===t&&(t=e.length);var n=Aw.add(2*t),r=Ow(e,0).mul(Ew),a=Ow(e,8),i=Ow(e,t-8).mul(n),o=Ow(e,t-16).mul(Aw);return Mw(Dw(r.add(a),43).add(Dw(i,30)).add(o),r.add(Dw(a.add(Aw),18)).add(i),n)}(e,t);if(t<=64)return function(e,t){void 0===t&&(t=e.length);var 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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 e.prototype.dispose=function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()},e}(),xk=function(){function e(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new bk}var t=e.prototype;return t.ready=function(){var e=Iv(kv().mark((function e(){var t,n,r;return kv().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 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Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)},t.setBackend=function(){var e=Iv(kv().mark((function e(t){var n,r;return kv().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 '"+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 Hw(this.backendInstance),e.abrupt("return",!0);case 20:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.setupRegisteredKernels=function(){var e=this;Jx(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))},t.disposeRegisteredKernels=function(e){var t=this;Jx(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))},t.initializeBackend=function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend "+e+", no registration found.");try{var r=n.factory();if(!r||r instanceof Pv||"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,Hx("Initialization of backend "+e+" failed"),Hx(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(t){return Hx("Initialization of backend "+e+" failed"),Hx(t.stack||t.message),{success:!1,asyncInit:!1}}},t.removeBackend=function(e){if(!(e in this.registryFactory))throw new Error(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)},t.getSortedBackends=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}))},t.initializeBackendsAndReturnBest=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.")},t.moveData=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]++},t.tidy=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}))},t.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},t.nextTensorId=function(){return e.nextTensorId++},t.nextVariableId=function(){return e.nextVariableId++},t.clone=function(e){var t=Nk.runKernel(Jy,{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 Nk.runKernel(iy,t,n)}}}),[],{}),t},t.runKernel=function(e,t,n){if(null==this.backendName&&this.backend,!(null!=Xx(e,this.backendName)))throw new Error("Kernel '"+e+"' not registered for backend '"+this.backendName+"'");return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})},t.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.checkKernelForMemLeak=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 '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+e+"'")},t.runKernelFunc=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 l=yk(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(yk(e)){var c=e.kernelName,p=e.inputs,h=e.attrs;null==this.backendName&&this.backend;var f=Xx(c,this.backendName);Hv(null!=f,(function(){return"Cannot find registered kernel '"+c+"' for backend '"+a.backendName+"'"})),n=function(){var e=a.backend.numDataIds();r=f.kernelFunc({inputs:p,attrs:h,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(o){var s=a.getTensorsForGradient(c,p,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var d=e.forwardFunc,m=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 d(a.backend,m)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t),t}}var v,g=e.inputs,y=e.attrs,b=yk(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?(v=a.profiler.profileKernel(l,g,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(v),t=v.outputs):t=n()})),o&&this.addTapeNode(l,g,t,b,i,y),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,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:v.timeMs,extraInfo:v.extraInfo}),Array.isArray(r)?t:t[0]},t.saveTensorsForBackwardMode=function(e){var t=this,n=e.map((function(e){return t.keep(t.clone(e))}));return n},t.getTensorsForGradient=function(e,t,n){var r=Yx(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(Hv(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[]},t.makeTensor=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&&hg(e[0])&&(a=e.map((function(e){return Uw(e)})));var i=r.write(a,t,n),o=new tk(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=pg(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},t.makeTensorFromDataId=function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)},t.makeTensorFromTensorInfo=function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,i=new tk(r,a,n,this.nextTensorId());return this.trackTensor(i,t),i},t.makeVariable=function(e,t,n,r){void 0===t&&(t=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new uk(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name "+a.name+" was already registered");return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},t.trackTensor=function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*cg(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 uk||this.track(e)},t.incRef=function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)},t.removeDataId=function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)},t.disposeTensor=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*cg(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}},t.disposeVariables=function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}},t.disposeVariable=function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]},t.memory=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},t.profile=function(){var e=Iv(kv().mark((function e(t){var n,r,a,i,o;return kv().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=Lv(this.state.activeProfile.kernels);case 12:if((i=a()).done){e.next=22;break}return o=i.value,e.next=16,o.kernelTimeMs;case 16:return o.kernelTimeMs=e.sent,e.next=19,o.extraInfo;case 19:o.extraInfo=e.sent;case 20:e.next=12;break;case 22:return e.abrupt("return",this.state.activeProfile);case 23:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.addTapeNode=function(e,t,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=Yx(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=kg(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)},t.keep=function(e){return e.kept=!0,e},t.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.endTape=function(){this.state.gradientDepth--},t.startScope=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},t.endScope=function(e){for(var t=this,n=mk(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)}))},t.gradients=function(e,t,n,r){var a=this;if(void 0===r&&(r=!1),Hv(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 '"+n.dtype+"'");var i=this.scopedRun((function(){return a.startTape()}),(function(){return a.endTape()}),(function(){return a.tidy("forward",e)}));Hv(i instanceof tk,(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 l in u){for(var c=u[l],p=!1,h=0;h<t.length;h++)if(r[c.id]){s.outputs.forEach((function(e){return r[e.id]=!0})),p=!0,a[s.id]=!0;break}if(p)break}}var f={};f[n.id]=!0;for(var d={},m=e.length-1;m>=0;m--)for(var v=e[m],g=v.inputs,y=0;y<v.outputs.length;y++)if(f[v.outputs[y].id]){for(var b in g)f[g[b].id]=!0,d[v.id]=!0;break}for(var x=[],w=0;w<e.length;w++){var k=e[w];if(a[k.id]&&d[k.id]){var N={};for(var I in k.inputs){var S=k.inputs[I];r[S.id]&&(N[I]=S)}var T=Object.assign({},k);T.inputs=N,T.outputs=k.outputs,x.push(T)}}return x}(this.state.activeTape,t,i);if(!r&&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,r,s={};s[i.id]=null==n?(e=i.shape,r=wg(Yv(e),"float32"),Nk.makeTensor(r,e,"float32")):n,function(e,t,n,r){for(var a=function(a){var i=t[a],o=[];if(i.outputs.forEach((function(t){var n=e[t.id];null!=n?o.push(n):o.push(null)})),null==i.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+i.kernelName+".");var s=i.gradient(o),u=function(t){if(!(t in s))throw new Error("Cannot backprop through input "+t+". Available gradients found: "+Object.keys(s)+".");var a=n((function(){return s[t]()}));if("float32"!==a.dtype)throw new Error("Error in gradient for op "+i.kernelName+". The gradient of input "+t+" must have 'float32' dtype, but has '"+a.dtype+"'");var o=i.inputs[t];if(!Jv(a.shape,o.shape))throw new Error("Error in gradient for op "+i.kernelName+". The gradient of input '"+t+"' has shape '"+a.shape+"', which does not match the shape of the input '"+o.shape+"'");if(null==e[o.id])e[o.id]=a;else{var u=e[o.id];e[o.id]=r(u,a),u.dispose()}};for(var l in i.inputs)u(l)},i=t.length-1;i>=0;i--)a(i)}(s,o,(function(e){return a.tidy(e)}),Ik);var u=t.map((function(e){return s[e.id]}));return 0===a.state.gradientDepth&&(a.state.activeTape.forEach((function(e){for(var t,n=Lv(e.saved);!(t=n()).done;){t.value.dispose()}})),a.state.activeTape=null),{value:i,grads:u}}))},t.customGrad=function(e){var t=this;return Hv(vg(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;Hv(r.every((function(e){return e instanceof tk})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var o={};r.forEach((function(e,t){o[t]=e}));var s=function(t,n){return Hv((i=e.apply(void 0,[].concat(r,[n]))).value instanceof tk,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),Hv(vg(i.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),i.value},u=function(e,t){var n=i.gradFunc(e,t),a=Array.isArray(n)?n:[n];Hv(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(...)."})),Hv(a.every((function(e){return e instanceof tk})),(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};return t.runKernelFunc({forwardFunc:s,backwardsFunc:u,inputs:o})}},t.readSync=function(e){return this.state.tensorInfo.get(e).backend.readSync(e)},t.read=function(e){return this.state.tensorInfo.get(e).backend.read(e)},t.readToGPU=function(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)},t.time=function(){var e=Iv(kv().mark((function e(t){var n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=Ww(),e.next=3,this.backend.time(t);case 3:return(r=e.sent).wallMs=Ww()-n,e.abrupt("return",r);case 6:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.track=function(e){return null!=this.state.activeScope&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e},t.reset=function(){for(var e in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new bk,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},Tv(e,[{key:"backend",get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+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 '"+t+"' has not yet been initialized. 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The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")})),Ek.registerFlag("IS_BROWSER",(function(){return Tk()})),Ek.registerFlag("IS_NODE",(function(){return"undefined"!=typeof process&&void 0!==process.versions&&void 0!==process.versions.node})),Ek.registerFlag("IS_CHROME",(function(){return"undefined"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)})),Ek.registerFlag("PROD",(function(){return!1})),Ek.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",(function(){return Ek.getBool("DEBUG")})),Ek.registerFlag("DEPRECATION_WARNINGS_ENABLED",(function(){return!0})),Ek.registerFlag("IS_TEST",(function(){return!1})),Ek.registerFlag("CHECK_COMPUTATION_FOR_ERRORS",(function(){return!0})),Ek.registerFlag("WRAP_TO_IMAGEBITMAP",(function(){return!1})),Ek.registerFlag("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU",(function(){return!1})),Ek.registerFlag("USE_SETTIMEOUTCUSTOM",(function(){return!1}));var Dk="__op";function Mk(e){var t=Object.keys(e);if(1!==t.length)throw new Error("Please provide an object with a single key (operation name) mapping to a function. Got an object with "+t.length+" keys.");var n=t[0],r=e[n];n.endsWith("_")&&(n=n.substring(0,n.length-1)),n+=Dk;var a=function(){Nk.startScope(n);try{var e=r.apply(void 0,arguments);return Cg(e)&&console.error("Cannot return a Promise inside of tidy."),Nk.endScope(e),e}catch(e){throw Nk.endScope(null),e}};return Object.defineProperty(a,"name",{value:n,configurable:!0}),a}var Lk=Mk({complex_:function(e,t){var n=Ok(e,"real","complex"),r=Ok(t,"imag","complex");qv(n.shape,r.shape,"real and imag shapes, "+n.shape+" and "+r.shape+", must match in call to tf.complex().");var a={real:n,imag:r};return Nk.runKernel(uy,a)}});function zk(e,t,n,r){if(null==r&&(r=mg(e)),"complex64"===r)throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if("object"==typeof e&&"texture"in e){if("float32"!==r&&"int32"!==r)throw new Error("Creating tensor from texture only supports 'float32'|'int32' dtype, while the dtype is "+r+".");return e.channels=e.channels||"RGBA",Nk.backend.createTensorFromTexture(e,t||n,r)}if(!lg(e)&&!Array.isArray(e)&&"number"!=typeof e&&"boolean"!=typeof e&&"string"!=typeof e)throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(null!=t){Ig(t);var a=Yv(t),i=Yv(n);Hv(a===i,(function(){return"Based on the provided shape, ["+t+"], the tensor should have "+a+" values but has "+i}));for(var o=0;o<n.length;++o){var s=n[o],u=o!==n.length-1||s!==Yv(t.slice(o));Hv(n[o]===t[o]||!u,(function(){return"Error creating a new Tensor. Inferred shape ("+n+") does not match the provided shape ("+t+"). "}))}}return lg(e)||Array.isArray(e)||(e=[e]),t=t||n,e="string"!==r?Bw(e,r):Xv(e,[],!0),Nk.makeTensor(e,t,r)}function Pk(e,t,n){return zk(e,t,Ak(e,n),n)}var Bk={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};function Wk(e,t){return Vk.apply(this,arguments)}function Vk(){return Vk=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(r=[],a=[],i=Array.isArray(t)?t.map((function(e){return e.name})):Object.keys(t),o=function(e){var o=i[e],s=Array.isArray(t)?t[e].tensor:t[o];if("float32"!==s.dtype&&"int32"!==s.dtype&&"bool"!==s.dtype&&"string"!==s.dtype&&"complex64"!==s.dtype)throw new Error("Unsupported dtype in weight '"+o+"': "+s.dtype);var u={name:o,shape:s.shape,dtype:s.dtype};if("string"===s.dtype){var l=new Promise(function(){var e=Iv(kv().mark((function e(t){var n,r,a,i,o,u,l;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,s.bytes();case 2:for(n=e.sent,r=n.reduce((function(e,t){return e+t.length}),0)+4*n.length,a=new Uint8Array(r),i=0,o=0;o<n.length;o++)u=n[o],l=new Uint8Array(new Uint32Array([u.length]).buffer),a.set(l,i),i+=4,a.set(u,i),i+=u.length;t(a);case 8:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}());a.push(l)}else a.push(s.data());null!=n&&(u.group=n),r.push(u)},s=0;s<i.length;++s)o(s);return e.next=7,Promise.all(a);case 7:return u=e.sent,e.abrupt("return",{data:Gk(u),specs:r});case 9:case"end":return e.stop()}}),e)}))),Vk.apply(this,arguments)}function Uk(e,t){for(var n,r,a={},i=0,o=Lv(t);!(r=o()).done;){var s=r.value,u=s.name,l=s.dtype,c=s.shape,p=Yv(c),h=void 0;if("quantization"in s){var f=s.quantization;if("uint8"===f.dtype||"uint16"===f.dtype){if(!("min"in f)||!("scale"in f))throw new Error("Weight "+s.name+" with quantization "+f.dtype+" doesn't have corresponding metadata min and scale.")}else{if("float16"!==f.dtype)throw new Error("Weight "+s.name+" has unknown quantization dtype "+f.dtype+". Supported quantization dtypes are: 'uint8', 'uint16', and 'float16'.");if("float32"!==l)throw new Error("Weight "+s.name+" is quantized with "+f.dtype+" which only supports weights of type float32 not "+l+".")}var d=Bk[f.dtype],m=e.slice(i,i+p*d),v="uint8"===f.dtype?new Uint8Array(m):new Uint16Array(m);if("float32"===l)if("uint8"===f.dtype||"uint16"===f.dtype){h=new Float32Array(v.length);for(var g=0;g<v.length;g++){var y=v[g];h[g]=y*f.scale+f.min}}else{if("float16"!==f.dtype)throw new Error("Unsupported quantization type "+f.dtype+" for weight type float32.");void 0===n&&(n=nN()),h=n(v)}else{if("int32"!==l)throw new Error("Unsupported dtype in weight '"+u+"': "+l);if("uint8"!==f.dtype&&"uint16"!==f.dtype)throw new Error("Unsupported quantization type "+f.dtype+" for weight type int32.");h=new Int32Array(v.length);for(var b=0;b<v.length;b++){var x=v[b];h[b]=Math.round(x*f.scale+f.min)}}i+=p*d}else if("string"===l){var w=Yv(s.shape);h=[];for(var k=0;k<w;k++){var N=new Uint32Array(e.slice(i,i+4))[0];i+=4;var I=new Uint8Array(e.slice(i,i+N));h.push(I),i+=N}}else{var S=Bk[l],T=e.slice(i,i+p*S);if("float32"===l)h=new Float32Array(T);else if("int32"===l)h=new Int32Array(T);else if("bool"===l)h=new Uint8Array(T);else{if("complex64"!==l)throw new Error("Unsupported dtype in weight '"+u+"': "+l);h=new Float32Array(T);for(var C=new Float32Array(h.length/2),E=new Float32Array(h.length/2),A=0;A<C.length;A++)C[A]=h[2*A],E[A]=h[2*A+1];var R=Pk(C,c,"float32"),_=Pk(E,c,"float32");a[u]=Lk(R,_),R.dispose(),_.dispose()}i+=p*S}"complex64"!==l&&(a[u]=Pk(h,c,l))}return a}function Gk(e){if(null===e)throw new Error("Invalid input value: "+JSON.stringify(e));var t=0,n=[];e.forEach((function(e){if(t+=e.byteLength,n.push(e.byteLength===e.buffer.byteLength?e:new e.constructor(e)),!(e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array))throw new Error("Unsupported TypedArray subtype: "+e.constructor.name)}));var r=new Uint8Array(t),a=0;return 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n={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy,weightsManifest:t};return null!=e.signature&&(n.signature=e.signature),null!=e.userDefinedMetadata&&(n.userDefinedMetadata=e.userDefinedMetadata),null!=e.modelInitializer&&(n.modelInitializer=e.modelInitializer),null!=e.initializerSignature&&(n.initializerSignature=e.initializerSignature),null!=e.trainingConfig&&(n.trainingConfig=e.trainingConfig),n}function Zk(e,t,n){var r={modelTopology:e.modelTopology,format:e.format,generatedBy:e.generatedBy,convertedBy:e.convertedBy};if(null!=e.trainingConfig&&(r.trainingConfig=e.trainingConfig),null!=e.weightsManifest){if(!t)throw new Error("modelJSON has weightsManifest but weightSpecs is null");if(!n)throw new Error("modelJSON has weightsManifest but weightData is null");r.weightSpecs=t,r.weightData=n}return 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Please use float32 or int32 tensors.");case 10:return e.next=12,r.data();case 12:l=e.sent,c="float32"===r.dtype?255:1,p=new Uint8ClampedArray(s*o*4),h=0;case 16:if(!(h<o*s)){e.next=41;break}f=[0,0,0,255],d=0;case 19:if(!(d<u)){e.next=33;break}if(m=l[h*u+d],"float32"!==r.dtype){e.next=26;break}if(!(m<0||m>1)){e.next=24;break}throw new Error("Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered "+m+".");case 24:e.next=29;break;case 26:if("int32"!==r.dtype){e.next=29;break}if(!(m<0||m>255)){e.next=29;break}throw new Error("Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered "+m+".");case 29:1===u?(f[0]=m*c,f[1]=m*c,f[2]=m*c):f[d]=m*c;case 30:d++,e.next=19;break;case 33:p[(v=4*h)+0]=Math.round(f[0]),p[v+1]=Math.round(f[1]),p[v+2]=Math.round(f[2]),p[v+3]=Math.round(f[3]);case 38:++h,e.next=16;break;case 41:return null!=n&&(n.width=s,n.height=o,g=n.getContext("2d"),y=new ImageData(p,s,o),g.putImageData(y,0,0)),r!==t&&r.dispose(),e.abrupt("return",p);case 44:case"end":return e.stop()}}),e)}))),zI.apply(this,arguments)}var PI=Mk({fromPixels_:DI}),BI={__proto__:null,fromPixelsAsync:function(e,t){return LI.apply(this,arguments)},toPixels:function(e,t){return zI.apply(this,arguments)},fromPixels:PI};function WI(e,t){var n=e.shape.length,r=t.shape.length;if(n<1)throw new Error("tf.gatherND() expects the input to be rank 1 or higher, but the rank was "+n+".");if(r<1)throw new Error("tf.gatherND() expects the indices to be rank 1 or higher, but the rank was "+r+".");if("int32"!==t.dtype)throw new Error("tf.gatherND() expects the indices to be int32 type, but the dtype was "+t.dtype+".");if(t.shape[r-1]>n)throw new Error("index innermost dimension length must be <= tensor rank; saw: "+t.shape[r-1]+" vs. "+n);if(0===Yv(e.shape))throw new Error("Requested more than 0 entries, but input is empty. Input shape: "+e.shape+".");for(var a=t.shape,i=a[a.length-1],o=1,s=0;s<a.length-1;++s)o*=a[s];var u=e.shape,l=a.slice();l.pop();for(var c=1,p=i;p<n;++p)c*=u[p],l.push(u[p]);var h=[].concat(yg(e.shape).map((function(e){return e/c})),[1]).slice(0,i);return[l,o,c,h]}var VI={__proto__:null,prepareAndValidate:WI};function UI(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: "+n.shape+", indices.shape: "+t.shape+", shape: "+e+", sliceDim: "+r+", and batchDim: "+a+".";if(n.rank<a)throw new Error(i+" update.rank < "+a+". 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a=Math.min(t.dims-(e.dims-r)+1+e.numAddAxisAfterEllipsis,t.dims);n<a;n++)t.begin[n]=0,t.end[n]=0,t.strides[n]=1,t.beginMask|=1<<n,t.endMask|=1<<n,t.finalShapeGatherIndices.push(n),t.finalShapeGatherIndicesSparse.push(-1),t.inputShapeGatherIndicesSparse[n]=r;else if(1<<r&e.newAxisMask)t.finalShapeGatherIndices.push(-2),t.finalShapeGatherIndicesSparse.push(-1);else{if(n===t.begin.length)throw Error("Index out of range using input dim "+n+"; input has only "+t.dims+" dims, "+t.begin.length+".");null!=e.begin&&(t.begin[n]=e.begin[r]),null!=e.end&&(t.end[n]=e.end[r]),t.strides[n]=e.strides[r],e.beginMask&1<<r&&(t.beginMask|=1<<n),e.endMask&1<<r&&(t.endMask|=1<<n),e.shrinkAxisMask&1<<r?(t.finalShapeGatherIndices.push(-1),t.finalShapeGatherIndicesSparse.push(-1),t.shrinkAxisMask|=1<<n):(t.finalShapeGatherIndices.push(n),t.finalShapeGatherIndicesSparse.push(r)),t.inputShapeGatherIndicesSparse[n]=r,n++}}(p,f);for(var d=!0,m=!0,v=!0,g=[],y=[],b=0;b<e.length;++b){if(0===f.strides[b])throw 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Actual: "+a+". Expected: "+i)}if(Array.isArray(e)&&Array.isArray(t)){var o=Ak(e),s=Ak(t);if(!Jv(o,s))throw new Error("Arrays have different shapes. Actual: ["+o+"]. Expected: ["+s+"]")}var u=lg(e)?e:Xv(e),l=lg(t)?t:Xv(t);if(u.length!==l.length)throw new Error("Arrays have different lengths actual: "+u.length+" vs expected: "+l.length+".\nActual:   "+u+".\nExpected: "+l+".");for(var c=0;c<l.length;++c){var p=u[c],h=l[c];if(!n(p,h))throw new Error("Arrays differ: actual["+c+"] = "+p+", expected["+c+"] = "+h+".\nActual:   "+u+".\nExpected: "+l+".")}"undefined"!=typeof expect&&expect().nothing()}function dS(e,t,n){if(null==n&&(n=hS()),!mS(e,t,n))throw new Error("Numbers differ: actual === "+e+", expected === "+t);"undefined"!=typeof expect&&expect().nothing()}function mS(e,t,n){return!isFinite(e)&&!isFinite(t)||!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function vS(){return(vS=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,t.play();case 2:if(!("requestVideoFrameCallback"in t)){e.next=5;break}return e.next=5,new Promise((function(e){t.requestVideoFrameCallback(e)}));case 5:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var gS={__proto__:null,TEST_EPSILON_FLOAT16:.1,expectArraysClose:function(e,t,n){return null==n&&(n=hS()),fS(e,t,(function(e,t){return mS(e,t,n)}))},testEpsilon:hS,expectPromiseToFail:function(e,t){e().then((function(){return t.fail()}),(function(){return t()})),"undefined"!=typeof expect&&expect().nothing()},expectArraysEqual:function(e,t){var n="string"==typeof t||"number"==typeof t||"boolean"==typeof t?[t]:t;return hg(e)||hg(e[0])||hg(t)||hg(t[0])?fS(e,n,(function(e,t){return e==t})):fS(e,t,(function(e,t){return mS(e,t,0)}))},expectNumbersClose:dS,expectValuesInRange:function(e,t,n){for(var r=0;r<e.length;r++)if(e[r]<t||e[r]>n)throw new Error("Value out of range:"+e[r]+" low: "+t+", high: "+n)},expectArrayBuffersEqual:function(e,t){var n=new Float32Array(e),r=new Float32Array(t);if(n.length!==r.length)throw new Error("Expected ArrayBuffer to be of length "+r.length+", but it was "+n.length);for(var a=0;a<r.length;a++)if(n[a]!==r[a])throw new Error("Expected ArrayBuffer value at "+a+" to be "+r[a]+" but got "+n[a]+" instead")},encodeStrings:function e(t){for(var n=0;n<t.length;n++){var r=t[n];Array.isArray(r)?e(r):t[n]=Uw(r)}return t},createVideoElement:function(e){var t=document.createElement("video");return"playsInline"in t&&(t.playsInline=!0),t.muted=!0,t.loop=!0,t.style.position="fixed",t.style.left="0px",t.style.top="0px",t.preload="auto",t.appendChild(e),new Promise((function(e){t.addEventListener("loadeddata",(function(n){return e(t)})),t.load()}))},play:function(e){return vS.apply(this,arguments)}},yS="4.1.0";var bS=Mk({add_:function(e,t){var n=Ok(e,"a","add"),r=Ok(t,"b","add"),a=hk(n,r),i={a:n=a[0],b:r=a[1]};return Nk.runKernel(Bg,i)}});var xS=Mk({floorDiv_:function(e,t){var n=Ok(e,"a","floorDiv"),r=Ok(t,"b","floorDiv"),a=hk(n,r),i={a:n=a[0],b:r=a[1]};return Nk.runKernel(jy,i)}});var wS=Mk({div_:function(e,t){var n=Ok(e,"a","div"),r=Ok(t,"b","div"),a=hk(n,r);if(n=a[0],r=a[1],"int32"===n.dtype&&"int32"===r.dtype)return xS(n,r);var i={a:n,b:r};return Nk.runKernel(_y,i,{})}});var kS=Mk({mul_:function(e,t){var n=Ok(e,"a","mul"),r=Ok(t,"b","mul"),a=hk(n,r),i={a:n=a[0],b:r=a[1]};return Nk.runKernel(Cb,i)}});var NS=Mk({abs_:function(e){var t=Ok(e,"x","abs");if("complex64"===t.dtype){var n={x:t};return Nk.runKernel(ly,n)}var r={x:t};return Nk.runKernel(Lg,r)}});var IS=Mk({acos_:function(e){var t={x:Ok(e,"x","acos")};return Nk.runKernel(zg,t)}});var SS=Mk({acosh_:function(e){var t={x:Ok(e,"x","acosh")};return Nk.runKernel(Pg,t)}});var TS=Mk({addN_:function(e){Hv(Array.isArray(e),(function(){return"The argument passed to tf.addN() must be a list of tensors"})),Hv(e.length>=1,(function(){return"Must pass at least one tensor to tf.addN(), but got "+e.length}));var t=e.map((function(e,t){return Ok(e,"tensors"+t,"addN")})),n=t[0];t.forEach((function(e){if(e.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")})),t.forEach((function(e){if(!Jv(e.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")}));var r=t;return Nk.runKernel(Wg,r)}});var CS=Mk({all_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Ok(e,"x","all","bool")},a={axis:t,keepDims:n};return Nk.runKernel(Vg,r,a)}});var ES=Mk({any_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Ok(e,"x","any","bool")},a={axis:t,keepDims:n};return Nk.runKernel(Ug,r,a)}});var AS=Mk({argMax_:function(e,t){void 0===t&&(t=0);var n={x:Ok(e,"x","argMax")},r={axis:t};return Nk.runKernel(Gg,n,r)}});var RS=Mk({argMin_:function(e,t){void 0===t&&(t=0);var n={x:Ok(e,"x","argMin")},r={axis:t};return Nk.runKernel(jg,n,r)}});var _S=Mk({asin_:function(e){var t={x:Ok(e,"x","asin")};return Nk.runKernel(Hg,t)}});var OS=Mk({asinh_:function(e){var t={x:Ok(e,"x","asinh")};return Nk.runKernel(qg,t)}});var FS=Mk({atan_:function(e){var t={x:Ok(e,"x","atan")};return Nk.runKernel(Kg,t)}});var DS=Mk({atan2_:function(e,t){var n=Ok(e,"a","atan2"),r=Ok(t,"b","atan2"),a=hk(n,r),i={a:n=a[0],b:r=a[1]};return Nk.runKernel(Yg,i)}});var MS=Mk({atanh_:function(e){var t={x:Ok(e,"x","atanh")};return Nk.runKernel(Xg,t)}});function LS(e,t,n,r,a,i){void 0===a&&(a="NHWC");var o=e[3];return BS(e,[].concat(t,[o]),n,i,r,null,null,XS(a))}function zS(e,t,n,r,a,i,o){void 0===o&&(o="channelsLast");var s,u=US(t),l=u[0],c=u[1];if("channelsLast"===o)s=[l,c,e[3],e[3]];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat "+o);s=[l,c,e[1],e[1]]}return BS(e,s,n,r,a,i,!1,o)}function PS(e,t,n,r,a,i,o){void 0===o&&(o="NDHWC");var s,u,l=GS(t),c=l[0],p=l[1],h=l[2];if("NDHWC"===o)u="channelsLast",s=[c,p,h,e[4],e[4]];else{if("NCDHW"!==o)throw new Error("Unknown dataFormat "+o);u="channelsFirst",s=[c,p,h,e[1],e[1]]}return WS(e,s,n,r,a,!1,u,i)}function BS(e,t,n,r,a,i,o,s){void 0===o&&(o=!1),void 0===s&&(s="channelsLast");var u=-1,l=-1,c=-1,p=-1;if("channelsLast"===s)u=e[0],l=e[1],c=e[2],p=e[3];else{if("channelsFirst"!==s)throw new Error("Unknown dataFormat "+s);u=e[0],p=e[1],l=e[2],c=e[3]}var h,f=t[0],d=t[1],m=t[3],v=US(n),g=v[0],y=v[1],b=US(r),x=b[0],w=b[1],k=jS(f,x),N=jS(d,w),I=function(e,t,n,r,a,i,o,s,u){var l,c,p;if("number"==typeof e){l={top:e,bottom:e,left:e,right:e,type:0===e?"VALID":"NUMBER"};var h=function(e,t,n,r,a){null==r&&(r=VS(e,t,n));var i=e[0],o=e[1],s=HS((i-t+2*r)/n+1,a),u=HS((o-t+2*r)/n+1,a);return[s,u]}([t,n],i,r,e,s);c=h[0],p=h[1]}else if("same"===e){c=Math.ceil(t/r),p=Math.ceil(n/a);var f=Math.max(0,(c-1)*r+i-t),d=Math.max(0,(p-1)*a+o-n),m=Math.floor(f/2),v=f-m,g=Math.floor(d/2);l={top:m,bottom:v,left:g,right:d-g,type:"SAME"}}else if("valid"===e)l={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((t-i+1)/r),p=Math.ceil((n-o+1)/a);else{if("object"!=typeof e)throw Error("Unknown padding parameter: "+e);var y="channelsLast"===u?e[1][0]:e[2][0],b="channelsLast"===u?e[1][1]:e[2][1],x="channelsLast"===u?e[2][0]:e[3][0],w="channelsLast"===u?e[2][1]:e[3][1];l={top:y,bottom:b,left:x,right:w,type:0===y&&0===b&&0===x&&0===w?"VALID":"EXPLICIT"},c=HS((t-i+y+b)/r+1,s),p=HS((n-o+x+w)/a+1,s)}return{padInfo:l,outHeight:c,outWidth:p}}(a,l,c,g,y,k,N,i,s),S=I.padInfo,T=I.outHeight,C=I.outWidth,E=o?m*p:m;return"channelsFirst"===s?h=[u,E,T,C]:"channelsLast"===s&&(h=[u,T,C,E]),{batchSize:u,dataFormat:s,inHeight:l,inWidth:c,inChannels:p,outHeight:T,outWidth:C,outChannels:E,padInfo:S,strideHeight:g,strideWidth:y,filterHeight:f,filterWidth:d,effectiveFilterHeight:k,effectiveFilterWidth:N,dilationHeight:x,dilationWidth:w,inShape:e,outShape:h,filterShape:t}}function WS(e,t,n,r,a,i,o,s){void 0===i&&(i=!1),void 0===o&&(o="channelsLast");var u=-1,l=-1,c=-1,p=-1,h=-1;if("channelsLast"===o)u=e[0],l=e[1],c=e[2],p=e[3],h=e[4];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat "+o);u=e[0],h=e[1],l=e[2],c=e[3],p=e[4]}var f,d=t[0],m=t[1],v=t[2],g=t[4],y=GS(n),b=y[0],x=y[1],w=y[2],k=GS(r),N=k[0],I=k[1],S=k[2],T=jS(d,N),C=jS(m,I),E=jS(v,S),A=function(e,t,n,r,a,i,o,s,u,l,c){var p,h,f,d;if("number"==typeof e){p={top:e,bottom:e,left:e,right:e,front:e,back:e,type:0===e?"VALID":"NUMBER"};var m=function(e,t,n,r,a,i){null==a&&(a=VS(e,t,r));var o=e[0],s=e[1],u=e[2],l=HS((o-t+2*a)/r+1,i),c=HS((s-t+2*a)/r+1,i),p=HS((u-t+2*a)/r+1,i);return[l,c,p,n]}([t,n,r,1],s,1,a,e,c);h=m[0],f=m[1],d=m[2]}else if("same"===e){var v=((h=Math.ceil(t/a))-1)*a+s-t,g=((f=Math.ceil(n/i))-1)*i+u-n,y=((d=Math.ceil(r/o))-1)*o+l-r,b=Math.floor(v/2),x=v-b,w=Math.floor(g/2),k=g-w,N=Math.floor(y/2);p={top:w,bottom:k,left:N,right:y-N,front:b,back:x,type:"SAME"}}else{if("valid"!==e)throw Error("Unknown padding parameter: "+e);p={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},h=Math.ceil((t-s+1)/a),f=Math.ceil((n-u+1)/i),d=Math.ceil((r-l+1)/o)}return{padInfo:p,outDepth:h,outHeight:f,outWidth:d}}(a,l,c,p,b,x,w,T,C,E,s),R=A.padInfo,_=A.outDepth,O=A.outHeight,F=A.outWidth,D=i?g*h:g;return"channelsFirst"===o?f=[u,D,_,O,F]:"channelsLast"===o&&(f=[u,_,O,F,D]),{batchSize:u,dataFormat:o,inDepth:l,inHeight:c,inWidth:p,inChannels:h,outDepth:_,outHeight:O,outWidth:F,outChannels:D,padInfo:R,strideDepth:b,strideHeight:x,strideWidth:w,filterDepth:d,filterHeight:m,filterWidth:v,effectiveFilterDepth:T,effectiveFilterHeight:C,effectiveFilterWidth:E,dilationDepth:N,dilationHeight:I,dilationWidth:S,inShape:e,outShape:f,filterShape:t}}function VS(e,t,n,r){void 0===r&&(r=1);var a=jS(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}function US(e){return"number"==typeof e?[e,e,e]:2===e.length?[e[0],e[1],1]:e}function GS(e){return"number"==typeof e?[e,e,e]:e}function jS(e,t){return t<=1?e:e+(e-1)*(t-1)}function HS(e,t){if(!t)return Math.trunc(e);switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error("Unknown roundingMode "+t)}}function qS(e){var t=US(e),n=t[0],r=t[1],a=t[2];return 1===n&&1===r&&1===a}function KS(e,t){return qS(e)||qS(t)}function XS(e){if("NHWC"===e)return"channelsLast";if("NCHW"===e)return"channelsFirst";throw new Error("Unknown dataFormat "+e)}function YS(e,t,n){if(null!=n){if("string"==typeof t)throw Error("Error in "+e+": pad must be an integer when using dimRoundingMode "+n+" but got pad "+t+".");if("number"==typeof t)Hv(Zv(t),(function(){return"Error in "+e+": pad must be an integer when using dimRoundingMode "+n+" but got pad "+t+"."}));else{if("object"!=typeof t)throw Error("Error in "+e+": Unknown padding parameter: "+t);t.forEach((function(t){t.forEach((function(t){Hv(Zv(t),(function(){return"Error in "+e+": pad must be an integer when using dimRoundingMode "+n+" but got pad "+t+"."}))}))}))}}}var JS=Mk({reshape_:function(e,t){var n={x:Ok(e,"x","reshape","string_or_numeric")},r={shape:t};return Nk.runKernel(Kb,n,r)}});var ZS=Mk({avgPool_:function(e,t,n,r,a){var i=Ok(e,"x","avgPool","float32");Hv(KS(n,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '1'"}));var o=i,s=!1;3===i.rank&&(s=!0,o=JS(i,[1,i.shape[0],i.shape[1],i.shape[2]])),Hv(4===o.rank,(function(){return"Error in avgPool: x must be rank 4 but got rank "+o.rank+"."})),YS("avgPool",r,a);var u={x:o},l={filterSize:t,strides:n,pad:r,dimRoundingMode:a},c=Nk.runKernel(Jg,u,l);return c=GN(c,i.dtype),s?JS(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var QS=Mk({avgPool3d_:function(e,t,n,r,a,i){void 0===i&&(i="NDHWC");var o=Ok(e,"x","avgPool3d","float32"),s=o,u=!1;4===o.rank&&(u=!0,s=JS(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Hv(5===s.rank,(function(){return"Error in avgPool3d: x must be rank 5 but got rank "+s.rank+"."})),Hv("NDHWC"===i,(function(){return"Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of "+i})),YS("avgPool3d",r,a);var l={x:s},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:i},p=Nk.runKernel(Qg,l,c);return p=GN(p,s.dtype),u?JS(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}});var $S=Mk({concat_:function(e,t){void 0===t&&(t=0),Hv(e.length>=1,(function(){return"Pass at least one tensor to concat"}));var n=Fk(e,"tensors","concat","string_or_numeric");if("complex64"===n[0].dtype&&n.forEach((function(e){if("complex64"!==e.dtype)throw new Error("Cannot concatenate complex64 tensors with a tensor\n          with dtype "+e.dtype+". ")})),1===n.length)return jN(n[0]);var r=n,a={axis:t};return Nk.runKernel(cy,r,a)}});var eT=Mk({sigmoid_:function(e){var t={x:Ok(e,"x","sigmoid","float32")};return Nk.runKernel(cx,t)}});var tT=Mk({slice_:function(e,t,n){var r=Ok(e,"x","slice","string_or_numeric");if(0===r.rank)throw new Error("Slicing scalar is not possible");var a={x:r},i={begin:t,size:n};return Nk.runKernel(ox,a,i)}});var nT=Mk({tanh_:function(e){var t={x:Ok(e,"x","tanh","float32")};return Nk.runKernel(Rx,t)}});var rT=Mk({basicLSTMCell_:function(e,t,n,r,a,i){var o=Ok(e,"forgetBias","basicLSTMCell"),s=Ok(t,"lstmKernel","basicLSTMCell"),u=Ok(n,"lstmBias","basicLSTMCell"),l=Ok(r,"data","basicLSTMCell"),c=Ok(a,"c","basicLSTMCell"),p=Ok(i,"h","basicLSTMCell"),h=$S([l,p],1),f=hI(h,s),d=bS(f,u),m=d.shape[0],v=d.shape[1]/4,g=[m,v],y=tT(d,[0,0],g),b=tT(d,[0,v],g),x=tT(d,[0,2*v],g),w=tT(d,[0,3*v],g),k=bS(kS(eT(y),nT(b)),kS(c,eT(bS(o,x))));return[k,kS(nT(k),eT(w))]}});var aT=Mk({batchToSpaceND_:function(e,t,n){var r=Ok(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));Hv(r.rank>=1+t.length,(function(){return"input rank is "+r.rank+" but should be > than blockShape.length "+t.length})),Hv(n.length===t.length,(function(){return"crops.length is "+n.length+" but should be equal to blockShape.length  "+t.length})),Hv(r.shape[0]%a==0,(function(){return"input tensor batch is "+r.shape[0]+" but is not divisible by the product of the elements of blockShape "+t.join(" * ")+" === "+a}));var i={x:r},o={blockShape:t,crops:n};return Nk.runKernel(ty,i,o)}});var iT=Mk({batchNorm_:function(e,t,n,r,a,i){null==i&&(i=.001);var o,s,u=Ok(e,"x","batchNorm"),l=Ok(t,"mean","batchNorm"),c=Ok(n,"variance","batchNorm");null!=a&&(o=Ok(a,"scale","batchNorm")),null!=r&&(s=Ok(r,"offset","batchNorm")),Hv(l.rank===c.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Hv(null==s||l.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Hv(null==o||l.rank===o.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var p=function(e){return 0===e.rank||1===e.rank?JS(e,[1,1,1,e.size]):2===e.rank?JS(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?JS(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),h={x:p,scale:o,offset:s,mean:l,variance:c},f={varianceEpsilon:i},d=Nk.runKernel(Hy,h,f);return JS(d,u.shape)}});var oT=Mk({batchNorm2d_:function(e,t,n,r,a,i){var o,s,u=Ok(e,"x","batchNorm"),l=Ok(t,"mean","batchNorm"),c=Ok(n,"variance","batchNorm");return null!=a&&(o=Ok(a,"scale","batchNorm")),null!=r&&(s=Ok(r,"offset","batchNorm")),Hv(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+u.rank+"."})),Hv(2===l.rank||1===l.rank,(function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."})),Hv(2===c.rank||1===c.rank,(function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank "+c.rank+"."})),null!=o&&Hv(2===o.rank||1===o.rank,(function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank "+o.rank+"."})),null!=s&&Hv(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."})),iT(u,l,c,s,o,i)}});var sT=Mk({batchNorm3d_:function(e,t,n,r,a,i){var o,s,u=Ok(e,"x","batchNorm"),l=Ok(t,"mean","batchNorm"),c=Ok(n,"variance","batchNorm");return null!=a&&(o=Ok(a,"scale","batchNorm")),null!=r&&(s=Ok(r,"offset","batchNorm")),Hv(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."})),Hv(3===l.rank||1===l.rank,(function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."})),Hv(3===c.rank||1===c.rank,(function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."})),null!=o&&Hv(3===o.rank||1===o.rank,(function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank "+o.rank+"."})),null!=s&&Hv(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."})),iT(u,l,c,s,o,i)}});var uT=Mk({batchNorm4d_:function(e,t,n,r,a,i){var o,s,u=Ok(e,"x","batchNorm"),l=Ok(t,"mean","batchNorm"),c=Ok(n,"variance","batchNorm");return null!=a&&(o=Ok(a,"scale","batchNorm")),null!=r&&(s=Ok(r,"offset","batchNorm")),Hv(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."})),Hv(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."})),Hv(4===c.rank||1===c.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."})),null!=o&&Hv(4===o.rank||1===o.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."})),null!=s&&Hv(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."})),iT(u,l,c,s,o,i)}});var lT=Mk({bincount_:function(e,t,n){var r=Ok(e,"x","bincount"),a=Ok(t,"weights","bincount");Hv("int32"===r.dtype,(function(){return"Error in bincount: input dtype must be int32, but got "+r.dtype})),Hv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Hv(a.size===r.size||0===a.size,(function(){return"Error in bincount: weights must have the same size as input or0-length, but got input shape: "+r.shape+", weights shape: "+a.shape+"."}));var i={x:r,weights:a},o={size:n};return Nk.runKernel(ny,i,o)}});var cT=Mk({broadcastArgs_:function(e,t){var n=Ok(e,"s0","broadcastArgs","int32"),r=Ok(t,"s1","broadcastArgs","int32");if(1!==n.rank)throw new Error("broadcastArgs(): first input must be a vector (rank=1). Has rank "+n.rank);if(1!==r.rank)throw new Error("broadcastArgs(): second input must be a vector (rank=1). Has rank "+r.rank);var a={s0:n,s1:r};return Nk.runKernel(ay,a)}});var pT=Mk({broadcastTo_:function(e,t){var n=Ok(e,"broadcastTo","x"),r=n.shape;if(Ig(t),t.length<n.rank)throw new Error("broadcastTo(): shape.length="+t.length+" < input.rank="+n.rank+".");if(t.length>n.rank){for(var a=n.shape.slice();a.length<t.length;)a.unshift(1);n=JS(n,a)}for(var i=n.shape,o=Array.from(t),s=t.length-1;s>=0;s--)if(i[s]===t[s])o[s]=1;else if(1!==n.shape[s])throw new Error("broadcastTo(): ["+r+"] cannot be broadcast to ["+t+"].");var u=o.map((function(e,t){return e>1?t:-1})).filter((function(e){return e>=0}));if(0===u.length)return jN(n);var l={x:n},c={reps:o};return Nk.runKernel(_x,l,c)}});var hT=Mk({ceil_:function(e){var t={x:Ok(e,"x","ceil","float32")};return Nk.runKernel(oy,t)}});function fT(e,t,n){Ig(e);var r={shape:e,value:t,dtype:n};return Nk.runKernel(Vy,{},r)}var dT=Mk({clipByValue_:function(e,t,n){var r=Ok(e,"x","clipByValue");if(Hv(t<=n,(function(){return"Error in clip: min ("+t+") must be less than or equal to max ("+n+")."})),t===n)return fT(r.shape,t,r.dtype);var a={x:r},i={clipValueMin:t,clipValueMax:n};return Nk.runKernel(sy,a,i)}});var mT=Mk({concat1d_:function(e){return $S(e,0)}});var vT=Mk({concat2d_:function(e,t){return $S(e,t)}});var gT=Mk({concat3d_:function(e,t){return $S(e,t)}});var yT=Mk({concat4d_:function(e,t){return $S(e,t)}});var bT=Mk({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Ok(e,"x","conv2d","float32"),u=Ok(t,"filter","conv2d","float32"),l=s,c=!1;3===s.rank&&(c=!0,l=JS(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Hv(4===l.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."})),Hv(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."})),YS("conv2d",r,o);var p="NHWC"===a?l.shape[3]:l.shape[1];Hv(p===u.shape[2],(function(){return"Error in conv2d: depth of input ("+p+") must match input depth for filter "+u.shape[2]+"."})),Hv(KS(n,i),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}));var h={x:l,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=Nk.runKernel(py,h,f);return c?JS(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var xT=Mk({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=Ok(e,"x","conv1d"),u=Ok(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=JS(s,[1,s.shape[0],s.shape[1]])),Hv(3===l.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."})),Hv(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),YS("conv1d",r,o),Hv(l.shape[2]===u.shape[1],(function(){return"Error in conv1d: depth of input ("+l.shape[2]+") must match input depth for filter "+u.shape[1]+"."})),Hv(KS(n,i),(function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"})),Hv("NWC"===a,(function(){return"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported."}));var p=JS(u,[1,u.shape[0],u.shape[1],u.shape[2]]),h=JS(l,[l.shape[0],1,l.shape[1],l.shape[2]]),f=bT(h,p,[1,n],r,"NHWC",[1,i],o);return JS(f,c?[f.shape[2],f.shape[3]]:[f.shape[0],f.shape[2],f.shape[3]])}});var wT=Mk({conv2DBackpropInput_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC"),Hv(e.length===t.rank,(function(){return"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match"}));var s=e,u=t,l=!1;3===t.rank&&(l=!0,u=JS(t,[1,t.shape[0],t.shape[1],t.shape[2]]),s=[1,e[0],e[1],e[2]]),Hv(4===s.length,(function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+s.length+"."})),Hv(4===u.rank,(function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+u.rank})),Hv(4===n.rank,(function(){return"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank}));var c="NHWC"===i?s[3]:s[1],p="NHWC"===i?u.shape[3]:u.shape[1];Hv(c===n.shape[2],(function(){return"Error in conv2dDerInput: depth of input ("+c+") must match input depth for filter "+n.shape[2]+"."})),Hv(p===n.shape[3],(function(){return"Error in conv2dDerInput: depth of output ("+p+") must match output depth for filter "+n.shape[3]+"."})),YS("conv2dDerInput",a,o);var h={dy:u,filter:n},f={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,inputShape:s},d=Nk.runKernel(fy,h,f);return l?JS(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var kT=Mk({conv2dTranspose_:function(e,t,n,r,a,i){var o=Ok(e,"x","conv2dTranspose"),s=Ok(t,"filter","conv2dTranspose");return wT(n,o,s,r,a,"NHWC",i)}});var NT=Mk({conv3d_:function(e,t,n,r,a,i){void 0===a&&(a="NDHWC"),void 0===i&&(i=[1,1,1]);var o=Ok(e,"x","conv3d"),s=Ok(t,"filter","conv3d"),u=o,l=!1;4===o.rank&&(l=!0,u=JS(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Hv(5===u.rank,(function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."})),Hv(5===s.rank,(function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."})),Hv(u.shape[4]===s.shape[3],(function(){return"Error in conv3d: depth of input ("+u.shape[4]+") must match input depth for filter "+s.shape[3]+"."})),Hv(KS(n,i),(function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),Hv("NDHWC"===a,(function(){return"Error in conv3d: got dataFormat of "+a+" but only NDHWC is currently supported."}));var c={x:u,filter:s},p={strides:n,pad:r,dataFormat:a,dilations:i},h=Nk.runKernel(dy,c,p);return l?JS(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var IT=Mk({conv3DBackpropInput_:function(e,t,n,r,a){Hv(e.length===t.rank,(function(){return"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match"}));var i=e,o=t,s=!1;4===t.rank&&(s=!0,o=JS(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),i=[1,e[0],e[1],e[2],e[3]]);var u=i[4],l=o.shape[4];Hv(5===i.length,(function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+i.length+"."})),Hv(5===o.rank,(function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+o.rank})),Hv(5===n.rank,(function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank})),Hv(u===n.shape[3],(function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."})),Hv(l===n.shape[4],(function(){return"Error in conv3dDerInput: depth of output ("+l+") must match output depth for filter "+n.shape[4]+"."}));var c={dy:o,filter:n},p={pad:a,strides:r,inputShape:i},h=Nk.runKernel(vy,c,p);return s?JS(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var ST=Mk({conv3dTranspose_:function(e,t,n,r,a){var i=Ok(e,"x","conv3dTranspose"),o=Ok(t,"filter","conv3dTranspose");return IT(n,i,o,r,a)}});var TT=Mk({cos_:function(e){var t={x:Ok(e,"x","cos","float32")};return Nk.runKernel(gy,t)}});var CT=Mk({cosh_:function(e){var t={x:Ok(e,"x","cosh","float32")};return Nk.runKernel(yy,t)}});var ET=Mk({cumprod_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:Ok(e,"x","cumprod")},i={axis:t,exclusive:n,reverse:r};return Nk.runKernel(by,a,i)}});var AT=Mk({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a={x:Ok(e,"x","cumsum")},i={axis:t,exclusive:n,reverse:r};return Nk.runKernel(xy,a,i)}});var RT=Mk({denseBincount_:function(e,t,n,r){void 0===r&&(r=!1);var a=Ok(e,"x","denseBincount"),i=Ok(t,"weights","denseBincount");Hv("int32"===a.dtype,(function(){return"Error in denseBincount: input dtype must be int32, but got "+a.dtype})),Hv(a.rank<=2,(function(){return"Error in denseBincount: input must be at most rank 2, but got rank "+a.rank+"."})),Hv(n>=0,(function(){return"size must be non-negative, but got "+n+"."})),Hv(i.size===a.size||0===i.size,(function(){return"Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: "+a.shape+", weights shape: "+i.shape+"."}));var o={x:a,weights:i},s={size:n,binaryOutput:r};return Nk.runKernel(ky,o,s)}});var _T=Mk({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=Ok(e,"x","depthToSpace","float32"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];Hv(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t})),Hv(a*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n    "+a+" and "+t+"  for depthToSpace with input shape\n    "+r.shape})),Hv(i*t>=0,(function(){return"Negative dimension size caused by overflow when multiplying\n    "+i+" and "+t+" for depthToSpace with input shape\n        "+r.shape})),Hv(o%(t*t)==0,(function(){return"Dimension size must be evenly divisible by "+t*t+" but is "+o+" for depthToSpace with input shape "+r.shape}));var s={x:r},u={blockSize:t,dataFormat:n};return Nk.runKernel(Ny,s,u)}});var OT=Mk({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Ok(e,"x","depthwiseConv2d","float32"),u=Ok(t,"filter","depthwiseConv2d","float32"),l=s,c=!1;3===s.rank&&(c=!0,l=JS(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Hv(4===l.rank,(function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."})),Hv(4===u.rank,(function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."}));var p="NHWC"===a?l.shape[3]:l.shape[1];Hv(p===u.shape[2],(function(){return"Error in depthwiseConv2d: number of input channels ("+p+") must match the inChannels dimension in filter "+u.shape[2]+"."})),YS("depthwiseConv2d",r,o);var h={x:l,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=Nk.runKernel(Iy,h,f);return c?JS(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var FT=Mk({diag_:function(e){var t={x:Ok(e,"x","diag")};return Nk.runKernel(Cy,t)}});var DT=Mk({dilation2d_:function(e,t,n,r,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC");var o=Ok(e,"x","dilation2d"),s=Ok(t,"filter","dilation2d");Hv(3===o.rank||4===o.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+o.rank+"."})),Hv(3===s.rank,(function(){return"Error in dilation2d: filter must be rank 3, but got rank "+s.rank+"."})),Hv("NHWC"===i,(function(){return"Error in dilation2d: Only NHWC is currently supported, but got dataFormat of "+i}));var u=o,l=!1;3===o.rank&&(u=JS(o,[1,o.shape[0],o.shape[1],o.shape[2]]),l=!0);var c={x:u,filter:s},p={strides:n,pad:r,dilations:a},h=Nk.runKernel(Ey,c,p);return l?JS(h,[h.shape[1],h.shape[2],h.shape[3]]):h}});var MT=Mk({equal_:function(e,t){var n=Ok(e,"a","equal","string_or_numeric"),r=Ok(t,"b","equal","string_or_numeric"),a=hk(n,r);n=a[0],r=a[1],RI(n.shape,r.shape);var i={a:n,b:r};return Nk.runKernel(Ly,i)}});var LT=Mk({where_:function(e,t,n){var r=Ok(t,"a","where"),a=Ok(n,"b","where"),i=Ok(e,"condition","where","bool"),o=RI(RI(i.shape,r.shape),a.shape),s={condition:pT(i,o),t:pT(r,o),e:pT(a,o)};return Nk.runKernel(ax,s)}});var zT=Mk({zerosLike_:function(e){var t={x:Ok(e,"x","zerosLike")};return Nk.runKernel(Px,t)}});var PT=Mk({divNoNan_:function(e,t){var n=Ok(e,"a","div"),r=Ok(t,"b","div"),a=hk(n,r);n=a[0],r=a[1];var i=wS(n,r),o=zT(i),s=MT(r,o);return LT(s,o,i)}});var BT=Mk({dot_:function(e,t){var n=Ok(e,"t1","dot"),r=Ok(t,"t2","dot");Hv(!(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 "+n.rank+" and "+r.rank+"."}));var a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];if(Hv(a===i,(function(){return"Error in dot: inner dimensions of inputs must match, but got "+a+" and "+i+"."})),1===n.rank&&1===r.rank){var o=JS(n,[1,-1]),s=JS(r,[-1,1]),u=hI(o,s);return JS(u,[])}if(1===n.rank&&2===r.rank){var l=JS(n,[1,-1]),c=JS(r,[r.shape[0],r.shape[1]]),p=hI(l,c);return JS(p,[p.size])}if(2===n.rank&&1===r.rank){var h=JS(r,[-1,1]),f=hI(n,h);return JS(f,[f.size])}var d=JS(r,[r.shape[0],r.shape[1]]);return hI(n,d)}});var WT=Mk({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 Ok(e,"tensors"+t,"einsum")})),i={equation:e};return Nk.runKernel(Oy,a,i)}});var VT=Mk({elu_:function(e){var t={x:Ok(e,"x","elu","float32")};return Nk.runKernel(Fy,t)}});var UT=Mk({erf_:function(e){var t=Ok(e,"x","erf");Hv("int32"===t.dtype||"float32"===t.dtype,(function(){return"Input dtype must be `int32` or `float32`."})),"int32"===t.dtype&&(t=GN(t,"float32"));var n={x:t};return Nk.runKernel(My,n)}});function GT(e,t){for(var n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function jT(e,t,n){for(var r=e.length+t.length,a=[],i=0,o=0,s=0;s<r;s++)-1===n.indexOf(s)?a.push(e[i++]):a.push(t[o++]);return a}function HT(e,t){for(var n=[],r=e.length,a=0;a<r;a++)-1===t.indexOf(a)&&n.push(e[a]);var i=t.map((function(t){return e[t]}));return[n,i]}function qT(e,t){return jT(e,t.map((function(e){return 1})),t)}function KT(e,t,n){Hv(GT(t,n),(function(){return e+" supports only inner-most axes for now. Got axes "+t+" and rank-"+n+" input."}))}function XT(e,t){if(GT(e,t))return null;for(var n=[],r=0;r<t;++r)-1===e.indexOf(r)&&n.push(r);return e.forEach((function(e){return n.push(e)})),n}function YT(e){return e.map((function(e,t){return[t,e]})).sort((function(e,t){return e[1]-t[1]})).map((function(e){return e[0]}))}function JT(e,t){for(var n=[],r=t-e;r<t;++r)n.push(r);return n}var ZT=Mk({max_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Ok(e,"x","max")},a={reductionIndices:t,keepDims:n};return Nk.runKernel(db,r,a)}});var QT=Mk({min_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Ok(e,"x","min")},a={axis:t,keepDims:n};return Nk.runKernel(kb,r,a)}});var $T=Mk({pow_:function(e,t){var n=Ok(e,"base","pow"),r=Ok(t,"exp","pow"),a=hk(n,r),i={a:n=a[0],b:r=a[1]};return Nk.runKernel(zb,i)}});function eC(e,t){if((lg(e)&&"string"!==t||Array.isArray(e))&&"complex64"!==t)throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)");if("string"===t&&lg(e)&&!(e instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");return zk(e,[],[],t)}var tC=Mk({sqrt_:function(e){var t={x:Ok(e,"x","sqrt","float32")};return Nk.runKernel(hx,t)}});var nC=Mk({square_:function(e){var t=Ok(e,"x","square");return Nk.runKernel("Square",{x:t},{})}});var rC=Mk({sum_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=Ok(e,"x","sum");"bool"===r.dtype&&(r=GN(r,"int32"));var a={x:r},i={axis:t,keepDims:n};return Nk.runKernel(fx,a,i)}});function aC(e,t,n){if(void 0===n&&(n=null),0===e.rank)return NS(e);if(1!==e.rank&&null===n)return aC(JS(e,[-1]),t,n);if(1===e.rank||"number"==typeof n||Array.isArray(n)&&1===n.length){if(1===t)return rC(NS(e),n);if(t===1/0)return ZT(NS(e),n);if(t===-1/0)return QT(NS(e),n);if("euclidean"===t||2===t)return tC(rC($T(NS(e),eC(2,"int32")),n));throw new Error("Error in norm: invalid ord value: "+t)}if(Array.isArray(n)&&2===n.length){if(1===t)return ZT(rC(NS(e),n[0]),n[1]-1);if(t===1/0)return ZT(rC(NS(e),n[1]),n[0]);if(t===-1/0)return QT(rC(NS(e),n[1]),n[0]);if("fro"===t||"euclidean"===t)return tC(rC(nC(e),n));throw new Error("Error in norm: invalid ord value: "+t)}throw new Error("Error in norm: invalid axis: "+n)}var iC=Mk({norm_:function(e,t,n,r){void 0===t&&(t="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var a=aC(e=Ok(e,"x","norm"),t,n),i=a.shape;if(r){var o=ng(n,e.shape);i=qT(a.shape,o)}return JS(a,i)}});var oC=Mk({euclideanNorm_:function(e,t,n){return void 0===t&&(t=null),void 0===n&&(n=!1),iC(e,"euclidean",t,n)}});var sC=Mk({exp_:function(e){var t={x:Ok(e,"x","exp")};return Nk.runKernel(zy,t)}});var uC=Mk({expandDims_:function(e,t){void 0===t&&(t=0);var n=Ok(e,"x","expandDims","string_or_numeric");Hv(t<=n.rank,(function(){return"Axis must be <= rank of the tensor"}));var r={input:n},a={dim:t};return Nk.runKernel(Py,r,a)}});var lC=Mk({expm1_:function(e){var t={x:Ok(e,"x","expm1")};return Nk.runKernel(By,t)}});var cC=Mk({tile_:function(e,t){var n=Ok(e,"x","tile","string_or_numeric");Hv(n.rank===t.length,(function(){return"Error in transpose: rank of input "+n.rank+" must match length of reps "+t+"."}));var r={x:n},a={reps:t};return Nk.runKernel(_x,r,a)}});var pC=Mk({eye_:function(e,t,n,r){void 0===r&&(r="float32"),null==t&&(t=e);for(var a=UN([e,t],r),i=e<=t?e:t,o=0;o<i;++o)a.set(1,o,o);var s=JS(a.toTensor(),[e,t]);if(null==n)return s;if(1===n.length)return cC(uC(s,0),[n[0],1,1]);if(2===n.length)return cC(uC(uC(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return cC(uC(uC(uC(s,0),0),0),[n[0],n[1],n[2],1,1]);throw new Error("eye() currently supports only 1D and 2D batchShapes, but received "+n.length+"D.")}});var hC=Mk({floor_:function(e){var t={x:Ok(e,"x","floor","float32")};return Nk.runKernel(Gy,t)}});var fC=Mk({gather_:function(e,t,n,r){void 0===n&&(n=0),void 0===r&&(r=0);var a={x:Ok(e,"x","gather"),indices:Ok(t,"indices","gather","int32")},i={axis:n,batchDims:r};return Nk.runKernel(qy,a,i)}});var dC=Mk({greater_:function(e,t){var n=Ok(e,"a","greater","string_or_numeric"),r=Ok(t,"b","greater","string_or_numeric"),a=hk(n,r);n=a[0],r=a[1],RI(n.shape,r.shape);var i={a:n,b:r};return Nk.runKernel(Xy,i)}});var mC=Mk({greaterEqual_:function(e,t){var n=Ok(e,"a","greaterEqual","string_or_numeric"),r=Ok(t,"b","greaterEqual","string_or_numeric"),a=hk(n,r);n=a[0],r=a[1],RI(n.shape,r.shape);var i={a:n,b:r};return Nk.runKernel(Yy,i)}});var vC=Mk({isFinite_:function(e){var t={x:Ok(e,"x","isFinite")};return Nk.runKernel($y,t)}});var gC=Mk({isInf_:function(e){var t={x:Ok(e,"x","isInf")};return Nk.runKernel(eb,t)}});var yC=Mk({isNaN_:function(e){var t={x:Ok(e,"x","isNaN")};return Nk.runKernel(tb,t)}});var bC=Mk({leakyRelu_:function(e,t){void 0===t&&(t=.2);var n={x:Ok(e,"x","leakyRelu")},r={alpha:t};return Nk.runKernel(nb,n,r)}});var xC=Mk({less_:function(e,t){var n=Ok(e,"a","less","string_or_numeric"),r=Ok(t,"b","less","string_or_numeric"),a=hk(n,r);n=a[0],r=a[1],RI(n.shape,r.shape);var i={a:n,b:r};return Nk.runKernel(rb,i)}});var wC=Mk({lessEqual_:function(e,t){var n=Ok(e,"a","lessEqual","string_or_numeric"),r=Ok(t,"b","lessEqual","string_or_numeric"),a=hk(n,r);n=a[0],r=a[1],RI(n.shape,r.shape);var i={a:n,b:r};return Nk.runKernel(ab,i)}});function kC(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 Nk.runKernel(ib,{},r)}var NC=Mk({localResponseNormalization_:function(e,t,n,r,a){void 0===t&&(t=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===a&&(a=.5);var i=Ok(e,"x","localResponseNormalization");Hv(4===i.rank||3===i.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank "+i.rank+"."})),Hv(Zv(t),(function(){return"Error in localResponseNormalization: depthRadius must be an integer but got depthRadius "+t+"."}));var o=i,s=!1;3===i.rank&&(s=!0,o=JS(i,[1,i.shape[0],i.shape[1],i.shape[2]]));var u={x:o},l={depthRadius:t,bias:n,alpha:r,beta:a},c=Nk.runKernel(hb,u,l);return s?JS(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var IC=Mk({log_:function(e){var t={x:Ok(e,"x","log","float32")};return Nk.runKernel(ob,t)}});var SC=Mk({log1p_:function(e){var t={x:Ok(e,"x","log1p")};return Nk.runKernel(sb,t)}});function TC(e,t){Hv(vg(e),(function(){return"The f passed in variableGrads(f) must be a function"})),Hv(null==t||Array.isArray(t)&&t.every((function(e){return e instanceof uk})),(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=[],Nk.registeredVariables)t.push(Nk.registeredVariables[r]);var a=n?t.filter((function(e){return!e.trainable})):null,i=t.length;t=t.filter((function(e){return e.trainable})),Hv(t.length>0,(function(){return"variableGrads() expects at least one of the input variables to be trainable, but none of the "+i+" variables is trainable."}));var o=Nk.gradients(e,t,null,!0),s=o.value,u=o.grads;Hv(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()."})),Hv(0===s.rank,(function(){return"The f passed in variableGrads(f) must return a scalar, but it returned a rank-"+s.rank+" tensor"}));var l={};return t.forEach((function(e,t){null!=u[t]&&(l[e.name]=u[t])})),null!=a&&a.forEach((function(e){return l[e.name]=null})),{value:s,grads:l}}function CC(e){return Nk.customGrad(e)}function EC(e){if(e.filter((function(e){return null==e})).length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.")}var AC=Mk({softplus_:function(e){var t={x:Ok(e,"x","softplus")};return Nk.runKernel(px,t)}});var RC=Mk({logSigmoid_:function(e){var t=Ok(e,"x","logSigmoid"),n=CC((function(e){return{value:II(AC(II(e))),gradFunc:function(t){return kS(t,eT(II(e)))}}}));return n(t)}});var _C=Mk({sub_:function(e,t){var n=Ok(e,"a","sub"),r=Ok(t,"b","sub"),a=hk(n,r),i={a:n=a[0],b:r=a[1]};return Nk.runKernel(Ex,i)}});var OC=Mk({logSoftmax_:function(e,t){void 0===t&&(t=-1);var n=Ok(e,"logits","logSoftmax");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error("Log Softmax along a non-last dimension is not yet supported. Logits was rank "+n.rank+" and axis was "+t);var r=CC((function(e,n){var r=ZT(e,t,!0),a=_C(e,r),i=_C(GN(a,"float32"),IC(rC(sC(a),t,!0)));n([i]);return{value:i,gradFunc:function(e,n){var r=n[0],a=sC(r);return _C(e,kS(rC(e,t,!0),a))}}}));return r(n)}});var FC=Mk({logSumExp_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=Ok(e,"x","logSumExp"),a=ng(t,r.shape),i=ZT(r,a,!0),o=_C(r,i),s=sC(o),u=rC(s,a),l=IC(u),c=bS(JS(i,l.shape),l);if(n){var p=qT(c.shape,a);return JS(c,p)}return c}});var DC=Mk({logicalAnd_:function(e,t){var n=Ok(e,"a","logicalAnd","bool"),r=Ok(t,"b","logicalAnd","bool");RI(n.shape,r.shape);var a={a:n,b:r};return Nk.runKernel(ub,a)}});var MC=Mk({logicalNot_:function(e){var t={x:Ok(e,"x","logicalNot","bool")};return Nk.runKernel(lb,t)}});var LC=Mk({logicalOr_:function(e,t){var n=Ok(e,"a","logicalOr","bool"),r=Ok(t,"b","logicalOr","bool");RI(n.shape,r.shape);var a={a:n,b:r};return Nk.runKernel(cb,a)}});var zC=Mk({logicalXor_:function(e,t){var n=Ok(e,"a","logicalXor","bool"),r=Ok(t,"b","logicalXor","bool");return RI(n.shape,r.shape),DC(LC(e,t),MC(DC(e,t)))}}),PC=2147483648;var BC=Mk({searchSorted_:function(e,t,n){void 0===n&&(n="left");var r=Ok(e,"sortedSequence","searchSorted"),a=Ok(t,"values","searchSorted"),i=r.shape[r.shape.length-1],o=a.shape[a.shape.length-1],s=JS(r,[-1,i]),u=JS(a,[-1,o]);if(s.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(s.shape[0]!==u.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(Yv(u.shape)>=PC)throw new Error("values tensor size must less than 2147483648");if(s.shape[1]>=PC)throw new Error("trailing dim_size must less than 2147483648 for int32 output type, was "+s.shape[1]);var l={sortedSequence:s,values:u},c={side:n};return Nk.runKernel(rx,l,c)}});function WC(e,t){return BC(e,t,"left")}var VC=Mk({maxPool_:function(e,t,n,r,a){var i=Ok(e,"x","maxPool"),o=i,s=!1;3===i.rank&&(s=!0,o=JS(i,[1,i.shape[0],i.shape[1],i.shape[2]])),Hv(4===o.rank,(function(){return"Error in maxPool: input must be rank 4 but got rank "+o.rank+"."})),Hv(KS(n,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '1'"})),YS("maxPool",r,a);var u={x:o},l={filterSize:t,strides:n,pad:r,dimRoundingMode:a},c=Nk.runKernel(vb,u,l);return s?JS(c,[c.shape[1],c.shape[2],c.shape[3]]):c}});var UC=Mk({maxPool3d_:function(e,t,n,r,a,i){void 0===t&&(t=[1,1,1]),void 0===i&&(i="NDHWC");var o=Ok(e,"x","maxPool3d"),s=o,u=!1;4===o.rank&&(u=!0,s=JS(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Hv(5===s.rank,(function(){return"Error in maxPool3d: x must be rank 5 but got rank "+s.rank+"."})),Hv("NDHWC"===i,(function(){return"Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of "+i})),YS("maxPool3d",r,a);var l={x:s},c={filterSize:t,strides:n,pad:r,dimRoundingMode:a,dataFormat:i},p=Nk.runKernel(yb,l,c);return u?JS(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}});var GC=Mk({maxPoolWithArgmax_:function(e,t,n,r,a){void 0===a&&(a=!1);var i={x:Ok(e,"x","maxPoolWithArgmax")},o={filterSize:t,strides:n,pad:r,includeBatchInIndex:a},s=Nk.runKernel(xb,i,o);return{result:s[0],indexes:s[1]}}});var jC=Mk({maximum_:function(e,t){var n=Ok(e,"a","maximum"),r=Ok(t,"b","maximum"),a=hk(n,r);n=a[0],r=a[1],"bool"===n.dtype&&(n=GN(n,"int32"),r=GN(r,"int32")),RI(n.shape,r.shape);var i={a:n,b:r};return Nk.runKernel(mb,i)}});var HC=Mk({mean_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r={x:Ok(e,"x","mean")},a={axis:t,keepDims:n};return Nk.runKernel(wb,r,a)}});function qC(e,t){if(void 0===t&&(t="float32"),Ig(e),"complex64"===t){var n=qC(e,"float32"),r=qC(e,"float32");return Lk(n,r)}var a=kg(Yv(e),t);return Nk.makeTensor(a,e,t)}function KC(e,t){if(void 0===t&&(t="float32"),Ig(e),"complex64"===t){var n=KC(e,"float32"),r=qC(e,"float32");return Lk(n,r)}var a=wg(Yv(e),t);return Nk.makeTensor(a,e,t)}function XC(e,t,n){var r=(void 0===n?{}:n).indexing,a=void 0===r?"xy":r;if("xy"!==a&&"ij"!==a)throw new TypeError(a+" is not a valid third argument to meshgrid");if(void 0===e)return[];var i=Ok(e,"x","meshgrid",e instanceof tk?e.dtype:"float32");if(void 0===t)return[i];var o=Ok(t,"y","meshgrid",t instanceof tk?t.dtype:"float32"),s=Yv(i.shape),u=Yv(o.shape);return"xy"===a?(i=JS(i,[1,-1]),o=JS(o,[-1,1]),[hI(KC([u,1],i.dtype),i),hI(o,KC([1,s],o.dtype))]):(i=JS(i,[-1,1]),o=JS(o,[1,-1]),[hI(i,KC([1,u],i.dtype)),hI(KC([s,1],o.dtype),o)])}var YC=Mk({minimum_:function(e,t){var n=Ok(e,"a","minimum"),r=Ok(t,"b","minimum"),a=hk(n,r);n=a[0],r=a[1],"bool"===n.dtype&&(n=GN(n,"int32"),r=GN(r,"int32")),RI(n.shape,r.shape);var i={a:n,b:r};return Nk.runKernel(Nb,i)}});var JC=Mk({mirrorPad_:function(e,t,n){Hv("reflect"===n||"symmetric"===n,(function(){return"Invalid mode. Mode must be either reflect or symmetric. Got "+n+"."}));var r=Ok(e,"x","mirrorPad");if(0===r.rank)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");Hv(t.length===r.rank,(function(){return"Padding doesn't match input. Must be "+r.rank+". Got "+t.length+"."}));for(var a="reflect"===n?1:0,i=function(e){Hv(2===t[e].length,(function(){return"Invalid number of paddings. Must be length of 2 each."})),Hv(t[e][0]>=0&&t[e][0]<=r.shape[e]-a&&t[e][1]>=0&&t[e][1]<=r.shape[e]-a,(function(){return"Padding in dimension "+e+" cannot be greater than or equal to "+(r.shape[e]-a)+" or less than 0 for input of shape "+r.shape}))},o=0;o<r.rank;o++)i(o);var s={paddings:t,mode:n},u={x:r};return Nk.runKernel(Ib,u,s)}});var ZC=Mk({mod_:function(e,t){var n=Ok(e,"a","mod"),r=Ok(t,"b","mod"),a=hk(n,r),i={a:n=a[0],b:r=a[1]};return Nk.runKernel(Sb,i)}});var QC=Mk({moments_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=ng(t,(e=Ok(e,"x","moments")).shape),a=HC(e,r,n),i=a.shape;n||(i=qT(a.shape,r));var o=nC(_C(GN(e,"float32"),JS(a,i)));return{mean:a,variance:HC(o,r,n)}}});var $C=Mk({multiRNNCell_:function(e,t,n,r){for(var a=Ok(t,"data","multiRNNCell"),i=Fk(n,"c","multiRNNCell"),o=Fk(r,"h","multiRNNCell"),s=a,u=[],l=0;l<e.length;l++){var c=e[l](s,i[l],o[l]);u.push(c[0]),u.push(c[1]),s=c[1]}for(var p=[],h=[],f=0;f<u.length;f+=2)p.push(u[f]),h.push(u[f+1]);return[p,h]}});var eE=Mk({multinomial_:function(e,t,n,r){void 0===r&&(r=!1);var a=Ok(e,"logits","multinomial"),i=a.size,o=a.rank;if(i<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+i+".");if(o>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+o);n=n||Math.random();var s={logits:1===o?JS(a,[1,-1]):a},u={numSamples:t,seed:n,normalized:r},l=Nk.runKernel(Tb,s,u);return 1===o?JS(l,[l.size]):l}});var tE=Mk({notEqual_:function(e,t){var n=Ok(e,"a","notEqual","string_or_numeric"),r=Ok(t,"b","notEqual","string_or_numeric"),a=hk(n,r);n=a[0],r=a[1],RI(n.shape,r.shape);var i={a:n,b:r};return Nk.runKernel(Ab,i)}});var nE=Mk({onesLike_:function(e){var t={x:Ok(e,"x","onesLike")};return Nk.runKernel(Fb,t)}});var rE=Mk({outerProduct_:function(e,t){var n=Ok(e,"v1","outerProduct"),r=Ok(t,"v2","outerProduct");Hv(1===n.rank&&1===r.rank,(function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."}));var a=JS(n,[-1,1]),i=JS(r,[1,-1]);return hI(a,i)}});var aE=Mk({pad_:function(e,t,n){void 0===n&&(n=0);var r=Ok(e,"x","pad");if(0===r.rank)throw new Error("pad(scalar) is not defined. 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"+n.rank+"."})),LE(n,t)}});var WE=Mk({reverse4d_:function(e,t){var n=Ok(e,"x","reverse");return Hv(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."})),LE(n,t)}});var VE=Mk({round_:function(e){var t={x:Ok(e,"x","round")};return Nk.runKernel(ex,t)}});var UE=Mk({rsqrt_:function(e){var t={x:Ok(e,"x","rsqrt","float32")};return Nk.runKernel(tx,t)}});var GE=Mk({selu_:function(e){var t={x:Ok(e,"x","selu")};return Nk.runKernel(ix,t)}});var jE=Mk({separableConv2d_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC");var s=Ok(e,"x","separableConv2d"),u=Ok(t,"depthwiseFilter","separableConv2d"),l=Ok(n,"pointwiseFilter","separableConv2d"),c=s,p=!1;if(3===s.rank&&(p=!0,c=JS(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");Hv(4===c.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."})),Hv(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."})),Hv(4===l.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."})),Hv(1===l.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+l.shape[0]+"."})),Hv(1===l.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+l.shape[1]+"."}));var h=u.shape[2],f=u.shape[3];Hv(l.shape[2]===h*f,(function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+h*f+", but got "+l.shape[2]+"."}));var d=OT(c,u,r,a,o,i),m=bT(d,l,1,"valid",o);return p?JS(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});function HE(){return HE=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h,f;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=Ok(t,"x","setdiff1d"),a=Ok(n,"y","setdiff1d"),Hv(r.dtype===a.dtype,(function(){return"x and y should have the same dtype, but got x ("+r.dtype+") and y ("+a.dtype+")."})),Hv(1===r.rank,(function(){return"x should be 1D tensor, but got x ("+r.shape+")."})),Hv(1===a.rank,(function(){return"y should be 1D tensor, but got y ("+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,l=0;l<i.length;l++)s.has(i[l])||u++;for(c=new Qw([u],r.dtype),p=new Qw([u],"int32"),h=0,f=0;h<i.length;h++)s.has(i[h])||(c.values[f]=i[h],p.values[f]=h,f++);return e.abrupt("return",[c.toTensor(),p.toTensor()]);case 18:case"end":return e.stop()}}),e)}))),HE.apply(this,arguments)}var qE=function(e,t){return HE.apply(this,arguments)};var KE=Mk({sign_:function(e){var t={x:Ok(e,"x","sign")};return Nk.runKernel(lx,t)}});var XE=Mk({sin_:function(e){var t={x:Ok(e,"x","sin","float32")};return Nk.runKernel(sx,t)}});var YE=Mk({sinh_:function(e){var t={x:Ok(e,"x","sinh")};return Nk.runKernel(ux,t)}});var JE=Mk({slice1d_:function(e,t,n){var r=Ok(e,"x","slice1d");return Hv(1===r.rank,(function(){return"slice1d expects a rank-1 tensor, but got a rank-"+r.rank+" tensor"})),tT(r,[t],[n])}});var ZE=Mk({slice2d_:function(e,t,n){var r=Ok(e,"x","slice2d");return Hv(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"})),tT(r,t,n)}});var QE=Mk({slice3d_:function(e,t,n){var r=Ok(e,"x","slice3d");return Hv(3===r.rank,(function(){return"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"})),tT(r,t,n)}});var $E=Mk({slice4d_:function(e,t,n){var r=Ok(e,"x","slice4d");return Hv(4===r.rank,(function(){return"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"})),tT(r,t,n)}});var eA=Mk({softmax_:function(e,t){void 0===t&&(t=-1);var n=Ok(e,"logits","softmax","float32");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error("Softmax along a non-last dimension is not yet supported. Logits was rank "+n.rank+" and dim was "+t);var r={logits:n},a={dim:t};return Nk.runKernel(vx,r,a)}});var tA=Mk({fft_:function(e){Hv("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.fft() must be complex64 but got "+e.dtype+"."}));var t={input:e};return Nk.runKernel(Wy,t)}});var nA=Mk({ifft_:function(e){Hv("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 but got "+e.dtype+"."}));var t={input:e};return Nk.runKernel(Zy,t)}});var rA=Mk({irfft_:function(e){var t,n=e.shape[e.shape.length-1],r=e.size/n;if(n<=2){var a=JS(e,[r,n]);t=nA(a)}else{var i=[r,2*(n-1)],o=JS(SI(e),[r,n]),s=JS(NI(e),[r,n]),u=LE(tT(o,[0,1],[r,n-2]),1),l=kS(LE(tT(s,[0,1],[r,n-2]),1),eC(-1)),c=$S([o,u],1),p=$S([s,l],1),h=JS(Lk(c,p),[i[0],i[1]]);t=nA(h)}if(t=SI(t),3===e.rank&&0!==e.shape[0]){var f=t,d=e.shape[0];t=JS(t,[d,t.shape[0]/d,t.shape[1]]),f.dispose()}return t}});var aA=Mk({split_:function(e,t,n){void 0===n&&(n=0);var r={x:Ok(e,"x","split")},a={numOrSizeSplits:t,axis:n};return Nk.runKernel(mx,r,a)}});var iA=Mk({rfft_:function(e,t){Hv("float32"===e.dtype,(function(){return"The dtype for rfft() must be real value but got "+e.dtype}));var n,r=e.shape[e.shape.length-1],a=e.size/r;if(null!=t&&t<r){var i=e.shape.map((function(e){return 0})),o=e.shape.map((function(e){return e}));o[e.shape.length-1]=t,n=tT(e,i,o),r=t}else if(null!=t&&t>r){var s=e.shape.map((function(e){return e}));s[e.shape.length-1]=t-r,n=$S([e,qC(s)],e.shape.length-1),r=t}else n=e;var u=zT(n),l=JS(Lk(n,u),[a,r]),c=tA(l),p=Math.floor(r/2)+1,h=SI(c),f=NI(c),d=aA(h,[p,r-p],h.shape.length-1),m=aA(f,[p,r-p],f.shape.length-1),v=n.shape.slice();return v[n.shape.length-1]=p,JS(Lk(d[0],m[0]),v)}});var oA=Mk({squaredDifference_:function(e,t){var n=Ok(e,"a","squaredDifference"),r=Ok(t,"b","squaredDifference"),a=hk(n,r);n=a[0],r=a[1],RI(n.shape,r.shape);var i={a:n,b:r};return Nk.runKernel(kx,i,{})}});var sA=Mk({squeeze_:function(e,t){var n=Ok(e,"x","squeeze","string_or_numeric");return JS(n,rg(n.shape,t).newShape)}});var uA=Mk({stack_:function(e,t){void 0===t&&(t=0);var n=Fk(e,"tensors","stack","string_or_numeric");Hv(n.length>=1,(function(){return"Pass at least one tensor to tf.stack"})),n.length>0&&Hv(t<=n[0].rank,(function(){return"Axis must be <= rank of the tensor"}));var r=n,a={axis:t};return Nk.runKernel(Mb,r,a)}});var lA=Mk({step_:function(e,t){void 0===t&&(t=0);var n={x:Ok(e,"x","step")},r={alpha:t};return Nk.runKernel(Bx,n,r)}});var cA=Mk({stridedSlice_:function(e,t,n,r,a,i,o,s,u){void 0===a&&(a=0),void 0===i&&(i=0),void 0===o&&(o=0),void 0===s&&(s=0),void 0===u&&(u=0);var l={x:Ok(e,"x","stridedSlice","string_or_numeric")},c={begin:t,end:n,strides:r,beginMask:a,endMask:i,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:u};return Nk.runKernel(Ix,l,c)}});var pA=Mk({tan_:function(e){var t={x:Ok(e,"x","tan","float32")};return Nk.runKernel(Ax,t)}});function hA(e,t){Kv(e);var n=Ak(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return zk(e,null,n,t)}function fA(e,t,n){if(Kv(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=Ak(e,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return zk(e,t,r,n)}function dA(e,t,n){if(Kv(e),null!=t&&4!==t.length)throw new Error("tensor4d() requires shape to have four numbers");var r=Ak(e,n);if(4!==r.length&&1!==r.length)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return zk(e,t,r,n)}function mA(e,t,n){if(Kv(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=Ak(e,n);if(5!==r.length&&1!==r.length)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return zk(e,t,r,n)}function vA(e,t,n){if(Kv(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=Ak(e,n);if(6!==r.length&&1!==r.length)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return zk(e,t=t||r,r,n)}var gA=Mk({topk_:function(e,t,n){void 0===t&&(t=1),void 0===n&&(n=!0);var r=Ok(e,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var a=r.shape[r.shape.length-1];if(t<0)throw new Error("'k' passed to topk() must be >= 0 but got "+t);if(t>a)throw new Error("'k' passed to topk() must be <= the last dimension ("+a+") but got "+t);var i={x:r},o={k:t,sorted:n},s=Nk.runKernel(Ox,i,o);return{values:s[0],indices:s[1]}}});var yA=Mk({truncatedNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),Ig(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var i=new SE(t,n,r,!0,a),o=UN(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var bA=Mk({unique_:function(e,t){void 0===t&&(t=0);var n=Ok(e,"x","unique","string_or_numeric");Hv(n.rank>0,(function(){return"The input tensor must be at least 1D"}));var r={x:n},a={axis:t},i=Nk.runKernel(Mx,r,a);return{values:i[0],indices:i[1]}}});var xA=Mk({unsortedSegmentSum_:function(e,t,n){var r=Ok(e,"x","unsortedSegmentSum"),a=Ok(t,"segmentIds","unsortedSegmentSum","int32");Hv(Zv(n),(function(){return"numSegments must be of dtype int"}));var i={x:r,segmentIds:a},o={numSegments:n};return Nk.runKernel(zx,i,o)}});var wA=Mk({unstack_:function(e,t){void 0===t&&(t=0);var n=Ok(e,"x","unstack","string_or_numeric");Hv(t>=-n.shape.length&&t<n.shape.length,(function(){return"Axis = "+t+" is not in [-"+n.shape.length+", "+n.shape.length+")"}));var r={value:n},a={axis:t};return Nk.runKernel(Lx,r,a)}});function kA(e,t){return BC(e,t,"right")}function NA(e,t,n,r){return void 0===t&&(t=!0),Nk.makeVariable(e,t,n,r)}function IA(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);for(var a=UN(e,"int32"),i=UN([n.length,e.length],"int32"),o=0;o<n.length;o++){var s=a.indexToLoc(n[o]),u=o*e.length;i.values.set(s,u)}return i.toTensor()}function SA(){return(SA=Iv(kv().mark((function e(t){var n,r,a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=Ok(t,"condition","whereAsync","bool"),e.next=3,n.data();case 3:return r=e.sent,a=IA(n.shape,r),t!==n&&n.dispose(),e.abrupt("return",a);case 7:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var TA=function(e){return SA.apply(this,arguments)};function CA(){return CA=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a=Ok(t,"tensor","boolMask"),i=Ok(n,"mask","boolMask","bool"),o=null==r?0:r,s=i.rank,u=a.shape,Hv(s>0,(function(){return"mask cannot be scalar"})),qv(u.slice(o,o+s),i.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,c=o;c<o+s;c++)l*=u[c];return p=u.slice(0,o).concat([l],u.slice(o+s)),h=JS(a,p),f=JS(i,[-1]),e.next=14,TA(f);case 14:return d=e.sent,m=sA(d,[1]),v=fC(h,m,o),t!==a&&a.dispose(),n!==i&&i.dispose(),m.dispose(),h.dispose(),f.dispose(),d.dispose(),e.abrupt("return",v);case 24:case"end":return e.stop()}}),e)}))),CA.apply(this,arguments)}var EA=function(e,t,n){return CA.apply(this,arguments)};var AA=Mk({movingAverage_:function(e,t,n,r,a){void 0===a&&(a=!0);var i=Ok(e,"v","movingAverage"),o=Ok(t,"x","movingAverage"),s=Ok(n,"decay","movingAverage");fk(i,o),Hv(Jv(i.shape,o.shape),(function(){return"Shape mismatch in v and x"}));var u=eC(1),l=_C(u,s),c=kS(_C(o,i),l);if(a){Hv(null!=r,(function(){return"When using zeroDebias: true, step is required."}));var p=Ok(r,"step","movingAverage");c=wS(c,_C(u,$T(s,p)))}return bS(i,c)}});var RA=Mk({scatterND_:function(e,t,n){Ig(n);var r=Ok(e,"indices","scatterND","int32"),a=Ok(t,"updates","scatterND");GI(a,r,n);var i={indices:r,updates:a},o={shape:n};return Nk.runKernel(nx,i,o)}});var _A=Mk({sparseToDense_:function(e,t,n,r){void 0===r&&(r=0),Ig(n);var a=Ok(e,"sparseIndices","sparseToDense","int32"),i=Ok(t,"sparseValues","sparseToDense","string_or_numeric"),o=Ok(r,"defaultValue","sparseToDense",i.dtype);!function(e,t,n,r){if("int32"!==e.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type, but the dtype was "+e.dtype+".");if(e.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix, but got shape "+e.shape+".");var a=e.rank>0?e.shape[0]:1,i=e.rank>1?e.shape[1]:1;if(n.length!==i)throw new Error("outputShape has incorrect number of elements:, "+n.length+", should be: "+i+".");var o=t.size;if(0!==t.rank&&(1!==t.rank||o!==a))throw new Error("sparseValues has incorrect shape "+t.shape+", should be [] or ["+a+"]");if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(a,i,n,o);var s={sparseIndices:a,sparseValues:i,defaultValue:o},u={outputShape:n};return Nk.runKernel(wx,s,u)}});var OA=Mk({gatherND_:function(e,t){var n=Ok(t,"indices","gatherND","int32"),r={params:Ok(e,"x","gatherND","string_or_numeric"),indices:n};return Nk.runKernel(Ky,r)}});var FA=Mk({dropout_:function(e,t,n,r){var a=Ok(e,"x","dropout");if(Hv("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be scaled, but got a "+a.dtype+" tensor instead."})),Hv(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got "+t+"."})),0===t)return e instanceof tk?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(Jv(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=wS(hC(bS(_E(i,0,1,"float32",r),o)),o);return kS(a,s)}});function DA(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function MA(e,t,n){for(var r=1-e%2,a=new Float32Array(e),i=0;i<e;++i){var o=2*Math.PI*i/(e+r-1);a[i]=t-n*Math.cos(o)}return hA(a,"float32")}function LA(){return LA=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===r&&(r=1),a=Ok(t,"predictions","inTopK"),i=Ok(n,"targets","inTopK"),Hv(a.rank>1,(function(){return"inTopK() expects the predictions to be of rank 2 or higher, but got "+a.rank})),Hv(a.rank-1===i.rank,(function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+a.rank+" and targets rank 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PA=Mk({conv2DBackpropFilter_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC");var s=e;3===e.rank&&(s=JS(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=JS(t,[1,t.shape[0],t.shape[1],t.shape[2]])),Hv(4===s.rank,(function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+s.shape+"."})),Hv(4===u.rank,(function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+u.shape+"."})),Hv(4===n.length,(function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."}));var l="NHWC"===i?s.shape[3]:s.shape[1],c="NHWC"===i?u.shape[3]:u.shape[1];Hv(l===n[2],(function(){return"Error in conv2dDerFilter: depth of input "+l+") must match input depth in filter ("+n[2]+"."})),Hv(c===n[3],(function(){return"Error in conv2dDerFilter: depth of dy ("+c+") must match output depth for filter ("+n[3]+")."})),YS("conv2dDerFilter",a,o);var p={x:s,dy:u},h={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,filterShape:n};return 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QA=Mk({stft_:function(e,t,n,r,a){void 0===a&&(a=JA),null==r&&(r=DA(t));var i=ZA(e,t,n),o=kS(i,a(t));return iA(o,r)}});var $A=Mk({cropAndResize_:function(e,t,n,r,a,i){void 0===a&&(a="bilinear"),void 0===i&&(i=0);var o=Ok(e,"image","cropAndResize"),s=Ok(t,"boxes","cropAndResize","float32"),u=Ok(n,"boxInd","cropAndResize","int32"),l=s.shape[0];Hv(4===o.rank,(function(){return"Error in cropAndResize: image must be rank 4,but got rank "+o.rank+"."})),Hv(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size ["+l+",4] but had shape "+s.shape+"."})),Hv(1===u.rank&&u.shape[0]===l,(function(){return"Error in cropAndResize: boxInd must be have size ["+l+"] but had shape "+s.shape+"."})),Hv(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."})),Hv(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was "+r})),Hv("bilinear"===a||"nearest"===a,(function(){return"method must be 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cR(e,t,n,r,a,i,o,s,u){void 0===o&&(o=!1),void 0===s&&(s=!1),void 0===u&&(u=!1);for(var l=[],c=0;c<t.length;c++)t[c]>a&&l.push({score:t[c],boxIndex:c,suppressBeginIndex:0});l.sort(fR);for(var p=i>0?-.5/i:0,h=[],f=[];h.length<n&&l.length>0;){var d=l.pop(),m=d.score,v=d.boxIndex,g=d.suppressBeginIndex;if(m<a)break;for(var y=!1,b=h.length-1;b>=g;--b){var x=pR(e,v,h[b]);if(x>=r){y=!0;break}if(d.score=d.score*hR(r,p,x),d.score<=a)break}d.suppressBeginIndex=h.length,y||(d.score===m?(h.push(v),f.push(d.score)):d.score>a&&iR(l,d,fR))}var w=h.length,k=n-w;s&&k>0&&(h.push.apply(h,new Array(k).fill(0)),f.push.apply(f,new Array(k).fill(0)));var N={selectedIndices:h};return o&&(N.selectedScores=f),u&&(N.validOutputs=w),N}function pR(e,t,n){var r=e.subarray(4*t,4*t+4),a=e.subarray(4*n,4*n+4),i=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(a[0],a[2]),c=Math.min(a[1],a[3]),p=Math.max(a[0],a[2]),h=Math.max(a[1],a[3]),f=(s-i)*(u-o),d=(p-l)*(h-c);if(f<=0||d<=0)return 0;var m=Math.max(i,l),v=Math.max(o,c),g=Math.min(s,p),y=Math.min(u,h),b=Math.max(g-m,0)*Math.max(y-v,0);return b/(f+d-b)}function hR(e,t,n){var r=Math.exp(t*n*n);return n<=e?r:0}function fR(e,t){return e.score-t.score||e.score===t.score&&t.boxIndex-e.boxIndex}function dR(){return(dR=Iv(kv().mark((function e(t,n,r,a,i){var o,s,u,l,c,p,h,f;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),o=Ok(t,"boxes","nonMaxSuppressionAsync"),s=Ok(n,"scores","nonMaxSuppressionAsync"),u=rR(o,s,r,a,i),r=u.maxOutputSize,a=u.iouThreshold,i=u.scoreThreshold,e.next=10,Promise.all([o.data(),s.data()]);case 10:return l=e.sent,c=l[0],p=l[1],h=sR(c,p,r,a,i),f=h.selectedIndices,o!==t&&o.dispose(),s!==n&&s.dispose(),e.abrupt("return",hA(f,"int32"));case 17:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var mR=function(e,t,n,r,a){return dR.apply(this,arguments)};var vR=Mk({nonMaxSuppressionWithScore_:function(e,t,n,r,a,i){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),void 0===i&&(i=0);var o=Ok(e,"boxes","nonMaxSuppression"),s=Ok(t,"scores","nonMaxSuppression"),u=rR(o,s,n,r,a,i),l={boxes:o,scores:s},c={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:a=u.scoreThreshold,softNmsSigma:i=u.softNmsSigma},p=Nk.runKernel(Ob,l,c);return{selectedIndices:p[0],selectedScores:p[1]}}});function gR(){return(gR=Iv(kv().mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h,f,d,m;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===o&&(o=0),s=Ok(t,"boxes","nonMaxSuppressionAsync"),u=Ok(n,"scores","nonMaxSuppressionAsync"),l=rR(s,u,r,a,i,o),r=l.maxOutputSize,a=l.iouThreshold,i=l.scoreThreshold,o=l.softNmsSigma,e.next=12,Promise.all([s.data(),u.data()]);case 12:return c=e.sent,p=c[0],h=c[1],f=lR(p,h,r,a,i,o),d=f.selectedIndices,m=f.selectedScores,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",{selectedIndices:hA(d,"int32"),selectedScores:hA(m)});case 19:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var yR=function(e,t,n,r,a,i){return gR.apply(this,arguments)};var bR=Mk({nonMaxSuppressionPadded_:function(e,t,n,r,a,i){void 0===r&&(r=.5),void 0===a&&(a=Number.NEGATIVE_INFINITY),void 0===i&&(i=!1);var o=Ok(e,"boxes","nonMaxSuppression"),s=Ok(t,"scores","nonMaxSuppression"),u=rR(o,s,n,r,a,null),l={boxes:o,scores:s},c={maxOutputSize:u.maxOutputSize,iouThreshold:u.iouThreshold,scoreThreshold:u.scoreThreshold,padToMaxOutputSize:i},p=Nk.runKernel(_b,l,c);return{selectedIndices:p[0],validOutputs:p[1]}}});function xR(){return(xR=Iv(kv().mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h,f,d,m,v,g,y;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===o&&(o=!1),s=Ok(t,"boxes","nonMaxSuppressionAsync"),u=Ok(n,"scores","nonMaxSuppressionAsync"),l=rR(s,u,r,a,i,null),c=l.maxOutputSize,p=l.iouThreshold,h=l.scoreThreshold,e.next=11,Promise.all([s.data(),u.data()]);case 11:return f=e.sent,d=f[0],m=f[1],v=uR(d,m,c,p,h,o),g=v.selectedIndices,y=v.validOutputs,s!==t&&s.dispose(),u!==n&&u.dispose(),e.abrupt("return",{selectedIndices:hA(g,"int32"),validOutputs:eC(y,"int32")});case 18:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var wR=function(e,t,n,r,a,i){return xR.apply(this,arguments)};var kR=Mk({resizeBilinear_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Ok(e,"images","resizeBilinear");Hv(3===a.rank||4===a.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+a.rank+"."})),Hv(2===t.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+t+"."})),Hv(!1===r||!1===n,(function(){return"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false."}));var i=a,o=!1;3===a.rank&&(o=!0,i=JS(a,[1,a.shape[0],a.shape[1],a.shape[2]]));var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},l=Nk.runKernel(Jb,s,u);return o?JS(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var NR=Mk({resizeNearestNeighbor_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Ok(e,"images","resizeNearestNeighbor");Hv(3===a.rank||4===a.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+a.rank+"."})),Hv(2===t.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+t+"."})),Hv("float32"===a.dtype||"int32"===a.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"})),Hv(!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=JS(a,[1,a.shape[0],a.shape[1],a.shape[2]]));var s={images:i},u={alignCorners:n,halfPixelCenters:r,size:t},l=Nk.runKernel(Xb,s,u);return o?JS(l,[l.shape[1],l.shape[2],l.shape[3]]):l}});var IR=Mk({threshold_:function(e,t,n,r){void 0===t&&(t="binary"),void 0===n&&(n=!1),void 0===r&&(r=.5);var a,i,o,s,u=Ok(e,"image","threshold"),l=u.shape[0]*u.shape[1],c=kS(hA([r]),255);if(Hv(3===u.rank,(function(){return"Error in threshold: image must be rank 3,but got rank "+u.rank+"."})),Hv(3===u.shape[2]||1===u.shape[2],(function(){return"Error in threshold: image color channel must be equal to 3 or 1but got "+u.shape[2]+"."})),Hv("int32"===u.dtype||"float32"===u.dtype,(function(){return"Error in dtype: image dtype must be int32 or float32,but got dtype "+u.dtype+"."})),Hv("otsu"===t||"binary"===t,(function(){return"Method must be binary or otsu, but was "+t})),3===u.shape[2]){var p=aA(u,[1,1,1],-1);a=p[0],i=p[1],o=p[2];var h=kS(a,.2989),f=kS(i,.587),d=kS(o,.114);s=bS(bS(h,f),d)}else s=e;"otsu"===t&&(c=function(e,t){for(var n,r,a,i,o,s,u=hA([-1]),l=hA([0]),c=hA([0]),p=0;p<e.size-1;p++){n=tT(e,0,p+1),r=tT(e,p+1),o=wS(rC(n),t),s=wS(rC(r),t);var h=rC(kS(n,OE(0,n.size)));a=wS(h,rC(n));var f=fT(r.shape,n.size),d=bS(OE(0,r.size),f),m=kS(r,d);i=wS(rC(m),rC(r));var v=_C(a,i),g=_C(a,i),y=kS(o,s);c=kS(kS(y,v),g);var b=dC(c,l);l=LT(b,c,l),u=LT(b,hA([p]),u)}return u}(lT(GN(VE(s),"int32"),Pk([]),256),l));var m=n?wC(s,c):dC(s,c);return GN(kS(m,255),"int32")}});var SR=Mk({transform_:function(e,t,n,r,a,i){void 0===n&&(n="nearest"),void 0===r&&(r="constant"),void 0===a&&(a=0);var o=Ok(e,"image","transform","float32"),s=Ok(t,"transforms","transform","float32");Hv(4===o.rank,(function(){return"Error in transform: image must be rank 4,but got rank "+o.rank+"."})),Hv(2===s.rank&&(s.shape[0]===o.shape[0]||1===s.shape[0])&&8===s.shape[1],(function(){return"Error in transform: Input transform should be batch x 8 or 1 x 8"})),Hv(null==i||2===i.length,(function(){return"Error in transform: outputShape must be [height, width] or null, but got "+i+"."}));var u={image:o,transforms:s},l={interpolation:n,fillMode:r,fillValue:a,outputShape:i};return Nk.runKernel(Fx,u,l)}});var TR=Mk({bandPart_:function(e,t,n){Hv(t%1==0,(function(){return"bandPart(): numLower must be an integer, got "+t+"."})),Hv(n%1==0,(function(){return"bandPart(): numUpper must be an integer, got "+n+"."}));var r=Ok(e,"a","bandPart");Hv(r.rank>=2,(function(){return"bandPart(): Rank must be at least 2, got "+r.rank+"."}));var a=r.shape,i=r.shape.slice(-2),o=i[0],s=i[1];if(!(t<=o))throw new Error("bandPart(): numLower ("+t+") must not be greater than the number of rows ("+o+").");if(!(n<=s))throw new Error("bandPart(): numUpper ("+n+") must not be greater than the number of columns ("+s+").");t<0&&(t=o),n<0&&(n=s);var u=JS(OE(0,o,1,"int32"),[-1,1]),l=OE(0,s,1,"int32"),c=_C(u,l),p=DC(wC(c,eC(+t,"int32")),mC(c,eC(-n,"int32"))),h=qC([o,s],r.dtype);return JS(uA(wA(JS(r,[-1,o,s])).map((function(e){return LT(p,e,h)}))),a)}});var CR=Mk({gramSchmidt_:function(e){var t;Array.isArray(e)?function(){t=!1,Hv(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){Hv(e[t].shape[0]===n,(function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: ("+e[t].shape[0]+" vs. "+n+")"}))},a=1;a<e.length;++a)r(a)}():(t=!0,e=aA(e,e.shape[0],0).map((function(e){return sA(e,[0])}))),Hv(e.length<=e[0].shape[0],(function(){return"Gram-Schmidt: Number of vectors ("+e.length+") exceeds number of dimensions ("+e[0].shape[0]+")."}));for(var n=[],r=e,a=function(e){n.push(Nk.tidy((function(){var t=r[e];if(e>0)for(var a=0;a<e;++a){var i=kS(rC(kS(n[a],t)),n[a]);t=_C(t,i)}return wS(t,iC(t,"euclidean"))})))},i=0;i<e.length;++i)a(i);return t?uA(n,0):n}});function ER(e,t){return void 0===t&&(t=!1),Nk.tidy((function(){Hv(2===e.shape.length,(function(){return"qr2d() requires a 2D Tensor, but got a "+e.shape.length+"D Tensor."}));for(var n=e.shape[0],r=e.shape[1],a=pC(n),i=jN(e),o=fA([[1]],[1,1]),s=jN(o),u=n>=r?r:n,l=function(e){var t=i,u=s,l=a,c=Nk.tidy((function(){var t=tT(i,[e,e],[n-e,1]),u=iC(t),l=tT(i,[e,e],[1,1]),c=LT(dC(l,0),fA([[-1]]),fA([[1]])),p=_C(l,kS(c,u)),h=wS(t,p);s=1===h.shape[0]?jN(o):$S([o,tT(h,[1,0],[h.shape[0]-1,h.shape[1]])],0);var f=II(wS(hI(c,p),u)),d=tT(i,[e,0],[n-e,r]),m=kS(f,s),v=TI(s);if(0===e)i=_C(d,hI(m,hI(v,d)));else{var g=_C(d,hI(m,hI(v,d)));i=$S([tT(i,[0,0],[e,r]),g],0)}var y=TI(m),b=tT(a,[0,e],[n,a.shape[1]-e]);if(0===e)a=_C(b,hI(hI(b,s),y));else{var x=_C(b,hI(hI(b,s),y));a=$S([tT(a,[0,0],[n,e]),x],1)}return[s,i,a]}));s=c[0],i=c[1],a=c[2],yI([t,u,l])},c=0;c<u;++c)l(c);return!t&&n>r&&(a=tT(a,[0,0],[n,r]),i=tT(i,[0,0],[r,r])),[a,i]}))}var AR,RR=Mk({qr_:function(e,t){if(void 0===t&&(t=!1),Hv(e.rank>=2,(function(){return"qr() requires input tensor to have a rank >= 2, but got rank "+e.rank})),2===e.rank)return ER(e,t);var n=e.shape.slice(0,e.shape.length-2).reduce((function(e,t){return e*t})),r=wA(JS(e,[n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0),a=[],i=[];return r.forEach((function(e){var n=ER(e,t),r=n[0],o=n[1];a.push(r),i.push(o)})),[JS(uA(a,0),e.shape),JS(uA(i,0),e.shape)]}});(AR=e.Reduction||(e.Reduction={}))[AR.NONE=0]="NONE",AR[AR.MEAN=1]="MEAN",AR[AR.SUM=2]="SUM",AR[AR.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS";var _R=Mk({computeWeightedLoss_:function(t,n,r){void 0===r&&(r=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=Ok(t,"losses","computeWeightedLoss"),i=null;null!=n&&(i=Ok(n,"weights","computeWeightedLoss"));var o=null==i?a:kS(a,i);if(r===e.Reduction.NONE)return o;if(r===e.Reduction.SUM)return rC(o);if(r===e.Reduction.MEAN){if(null==i)return HC(o);var s=a.size/i.size,u=wS(rC(o),rC(i));return s>1?wS(u,eC(s)):u}if(r===e.Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==i)return wS(rC(o),eC(a.size));var l=kS(i,KC(a.shape)),c=GN(rC(tE(l,eC(0))),"float32");return wS(rC(o),c)}throw Error("Unknown reduction: "+r)}});var OR=Mk({absoluteDifference_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=Ok(t,"labels","absoluteDifference"),o=Ok(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=Ok(r,"weights","absoluteDifference")),qv(i.shape,o.shape,"Error in absoluteDifference: ");var u=NS(_C(i,o));return _R(u,s,a)}});var FR=Mk({cosineDistance_:function(t,n,r,a,i){void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Ok(t,"labels","cosineDistance"),s=Ok(n,"predictions","cosineDistance"),u=null;null!=a&&(u=Ok(a,"weights","cosineDistance")),qv(o.shape,s.shape,"Error in cosineDistance: ");var l=eC(1),c=_C(l,rC(kS(o,s),r,!0));return _R(c,u,i)}});var DR=Mk({hingeLoss_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=Ok(t,"labels","hingeLoss"),o=Ok(n,"predictions","hingeLoss"),s=null;null!=r&&(s=Ok(r,"weights","hingeLoss")),qv(i.shape,o.shape,"Error in hingeLoss: ");var u=eC(1);i=_C(kS(eC(2),i),u);var l=DE(_C(u,kS(i,o)));return _R(l,s,a)}});var MR=Mk({huberLoss_:function(t,n,r,a,i){void 0===a&&(a=1),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Ok(t,"labels","huberLoss"),s=Ok(n,"predictions","huberLoss"),u=null;null!=r&&(u=Ok(r,"weights","huberLoss")),qv(o.shape,s.shape,"Error in huberLoss: ");var l=eC(a),c=NS(_C(s,o)),p=YC(c,l),h=_C(c,p),f=bS(kS(eC(.5),nC(p)),kS(l,h));return _R(f,u,i)}});var LR=Mk({logLoss_:function(t,n,r,a,i){void 0===a&&(a=1e-7),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Ok(t,"labels","logLoss"),s=Ok(n,"predictions","logLoss"),u=null;null!=r&&(u=Ok(r,"weights","logLoss")),qv(o.shape,s.shape,"Error in logLoss: ");var l=eC(1),c=eC(a),p=II(kS(o,IC(bS(s,c)))),h=kS(_C(l,o),IC(bS(_C(l,s),c))),f=_C(p,h);return _R(f,u,i)}});var zR=Mk({meanSquaredError_:function(t,n,r,a){void 0===a&&(a=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=Ok(t,"labels","meanSquaredError"),o=Ok(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=Ok(r,"weights","meanSquaredError")),qv(i.shape,o.shape,"Error in meanSquaredError: ");var u=oA(i,o);return _R(u,s,a)}});var PR=Mk({sigmoidCrossEntropy_:function(t,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Ok(t,"multiClassLabels","sigmoidCrossEntropy"),s=Ok(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=Ok(r,"weights","sigmoidCrossEntropy")),qv(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),a>0){var l=eC(a),c=eC(1),p=eC(.5);o=bS(kS(o,_C(c,l)),kS(p,l))}var h=function(e,t){var n=Ok(e,"labels","sigmoidCrossEntropyWithLogits"),r=Ok(t,"logits","sigmoidCrossEntropyWithLogits");qv(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=DE(r),i=kS(r,n),o=SC(sC(II(NS(r))));return bS(_C(a,i),o)}(o,s);return _R(h,u,i)}});var BR=Mk({softmaxCrossEntropy_:function(t,n,r,a,i){void 0===a&&(a=0),void 0===i&&(i=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var o=Ok(t,"onehotLabels","softmaxCrossEntropy"),s=Ok(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=Ok(r,"weights","softmaxCrossEntropy")),qv(o.shape,s.shape,"Error in softmaxCrossEntropy: "),a>0){var l=eC(a),c=eC(1),p=eC(o.shape[1]);o=bS(kS(o,_C(c,l)),wS(l,p))}var h=function(e,t,n){if(void 0===n&&(n=-1),-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank "+t.rank+" and dim was "+n);var r=CC((function(e,t,r){var a=FC(t,[n],!0),i=_C(GN(t,"float32"),a);r([e,i]);var o=II(kS(i,e));return{value:rC(o,[n]),gradFunc:function(e,t){var r=t[0],a=t[1],i=qT(e.shape,[n]);return[kS(JS(e,i),_C(GN(r,"float32"),sC(a))),kS(JS(e,i),_C(sC(a),GN(r,"float32")))]}}}));return r(e,t)}(o,s);return _R(h,u,i)}});var WR=Mk({sparseFillEmptyRows_:function(e,t,n,r){var a=Ok(e,"indices","sparseFillEmptyRows","int32"),i=Ok(t,"values","sparseFillEmptyRows"),o=Ok(n,"denseShape","sparseFillEmptyRows","int32"),s=Ok(r,"defaultValue","sparseFillEmptyRows",i.dtype);if(2!==a.rank)throw new Error("Indices should be Tensor2D but received shape\n        "+a.shape);if(1!==i.rank)throw new Error("Values should be Tensor1D but received shape "+i.shape);if(1!==o.rank)throw new Error("Dense shape should be Tensor1D but received shape "+o.shape);if(0!==s.rank)throw new Error("Default value should be a scalar but received shape "+s.shape);var u={indices:a,values:i,denseShape:o,defaultValue:s},l=Nk.runKernel(gx,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}});var VR=Mk({sparseReshape_:function(e,t,n){var r=Ok(e,"inputIndices","sparseReshape","int32"),a=Ok(t,"inputShape","sparseReshape","int32"),i=Ok(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error("Input indices should be Tensor2D but received shape\n        "+r.shape);if(1!==a.rank)throw new Error("Input shape should be Tensor1D but received shape "+a.shape);if(1!==i.rank)throw new Error("New shape should be Tensor1D but received shape "+i.shape);var o={inputIndices:r,inputShape:a,newShape:i},s=Nk.runKernel(yx,o);return{outputIndices:s[0],outputShape:s[1]}}});var UR=Mk({sparseSegmentMean_:function(e,t,n){var r=Ok(e,"data","sparseSegmentMean"),a=Ok(t,"indices","sparseSegmentMean","int32"),i=Ok(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          "+a.shape);if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n          "+i.shape);var o={data:r,indices:a,segmentIds:i};return Nk.runKernel(bx,o)}});var GR=Mk({sparseSegmentSum_:function(e,t,n){var r=Ok(e,"data","sparseSegmentSum"),a=Ok(t,"indices","sparseSegmentSum","int32"),i=Ok(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         "+a.shape);if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n         "+i.shape);var o={data:r,indices:a,segmentIds:i};return Nk.runKernel(xx,o)}});var jR=Mk({stringNGrams_:function(e,t,n,r,a,i,o,s){var u=Ok(e,"data","stringNGrams","string");if("string"!==u.dtype)throw new Error("Data must be of datatype string");if(1!==u.shape.length)throw new Error("Data must be a vector, saw: "+u.shape);var l=Ok(t,"dataSplits","stringNGrams");if("int32"!==l.dtype)throw new Error("Data splits must be of datatype int32");var c={separator:n,nGramWidths:r,leftPad:a,rightPad:i,padWidth:o,preserveShortSequences:s},p={data:u,dataSplits:l},h=Nk.runKernel(Sx,p,c);return{nGrams:h[0],nGramsSplits:h[1]}}});var HR=Mk({stringSplit_:function(e,t,n){void 0===n&&(n=!0);var r=Ok(e,"input","stringSplit","string"),a=Ok(t,"delimiter","stringSplit","string");if(1!==r.rank)throw new Error("Input should be Tensor1D but received shape "+r.shape);if(0!==a.rank)throw new Error("Delimiter should be a scalar but received shape "+a.shape);var i={skipEmpty:n},o={input:r,delimiter:a},s=Nk.runKernel(Tx,o,i);return{indices:s[0],values:s[1],shape:s[2]}}});var qR=Mk({stringToHashBucketFast_:function(e,t){var n=Ok(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");var a={input:n};return Nk.runKernel(Cx,a,r)}}),KR={fft:tA,ifft:nA,rfft:iA,irfft:rA},XR={hammingWindow:YA,hannWindow:JA,frame:ZA,stft:QA},YR={flipLeftRight:eR,grayscaleToRGB:tR,resizeNearestNeighbor:NR,resizeBilinear:kR,rotateWithOffset:nR,cropAndResize:$A,nonMaxSuppression:aR,nonMaxSuppressionAsync:mR,nonMaxSuppressionWithScore:vR,nonMaxSuppressionWithScoreAsync:yR,nonMaxSuppressionPadded:bR,nonMaxSuppressionPaddedAsync:wR,threshold:IR,transform:SR},JR={bandPart:TR,gramSchmidt:CR,qr:RR},ZR={absoluteDifference:OR,computeWeightedLoss:_R,cosineDistance:FR,hingeLoss:DR,huberLoss:MR,logLoss:LR,meanSquaredError:zR,sigmoidCrossEntropy:PR,softmaxCrossEntropy:BR},QR={sparseFillEmptyRows:WR,sparseReshape:VR,sparseSegmentMean:UR,sparseSegmentSum:GR},$R={stringNGrams:jR,stringSplit:HR,stringToHashBucketFast:qR},e_=function(e){function t(){return e.apply(this,arguments)||this}Cv(t,e);var n=t.prototype;return n.minimize=function(e,t,n){void 0===t&&(t=!1);var r=this.computeGradients(e,n),a=r.value,i=r.grads;if(null!=n){var o=n.map((function(e){return{name:e.name,tensor:i[e.name]}}));this.applyGradients(o)}else this.applyGradients(i);return yI(i),t?a:(a.dispose(),null)},n.incrementIterations=function(){this.iterations_=this.iterations+1},n.computeGradients=function(e,t){return TC(e,t)},n.dispose=function(){null!=this.iterations_&&yI(this.iterations_)},n.saveIterations=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return null==this.iterations_&&(this.iterations_=0),e.abrupt("return",{name:"iter",tensor:eC(this.iterations_,"int32")});case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("getWeights() is not implemented for this optimizer yet.");case 1:case"end":return e.stop()}}),e)})));return function(){return e.apply(this,arguments)}}(),n.setWeights=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:throw new Error("setWeights() is not implemented for this optimizer class "+this.getClassName());case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.extractIterations=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,t[0].tensor.data();case 2:return this.iterations_=e.sent[0],e.abrupt("return",t.slice(1));case 4:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),Tv(t,[{key:"iterations",get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}}]),t}(uS);Object.defineProperty(e_,Symbol.hasInstance,{value:function(e){return null!=e.minimize&&null!=e.computeGradients&&null!=e.applyGradients}});var t_=function(e){function t(t,n,r){var a;return void 0===r&&(r=null),(a=e.call(this)||this).learningRate=t,a.rho=n,a.epsilon=r,a.accumulatedGrads=[],a.accumulatedUpdates=[],null==r&&(a.epsilon=Nk.backend.epsilon()),a}Cv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Nk.registeredVariables[n];null==t.accumulatedGrads[r]&&(t.accumulatedGrads[r]={originalName:n+"/accum_grad",variable:gI((function(){return zT(a).variable(false)}))}),null==t.accumulatedUpdates[r]&&(t.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:gI((function(){return zT(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;gI((function(){var e=bS(kS(o,t.rho),kS(nC(i),1-t.rho)),n=kS(wS(tC(bS(s,t.epsilon)),tC(bS(o,t.epsilon))),i),r=bS(kS(s,t.rho),kS(nC(n),1-t.rho));o.assign(e),s.assign(r);var u=bS(kS(n,-t.learningRate),a);a.assign(u)}))}})),this.incrementIterations()},n.dispose=function(){null!=this.accumulatedUpdates&&(yI(this.accumulatedGrads.map((function(e){return e.variable}))),yI(this.accumulatedUpdates.map((function(e){return e.variable}))))},n.getWeights=function(){var e=Iv(kv().mark((function e(){var t;return kv().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)}}(),n.setWeights=function(){var e=Iv(kv().mark((function e(t){var n;return kv().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)}}(),n.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.rho,t.epsilon)},t}(e_);t_.className="Adadelta",cS(t_);var n_=function(e){function t(t,n){var r;return void 0===n&&(n=.1),(r=e.call(this)||this).learningRate=t,r.initialAccumulatorValue=n,r.accumulatedGrads=[],r}Cv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Nk.registeredVariables[n];if(null==t.accumulatedGrads[r]){t.accumulatedGrads[r]={originalName:n+"/accumulator",variable:gI((function(){return fT(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;gI((function(){var e=bS(o,nC(i));o.assign(e);var n=bS(kS(wS(i,tC(bS(e,Nk.backend.epsilon()))),-t.learningRate),a);a.assign(n)}))}})),this.incrementIterations()},n.dispose=function(){null!=this.accumulatedGrads&&yI(this.accumulatedGrads.map((function(e){return e.variable})))},n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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)}}(),n.setWeights=function(){var e=Iv(kv().mark((function e(t){return kv().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)}}(),n.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)},t}(e_);n_.className="Adagrad",cS(n_);var r_=function(e){function t(t,n,r,a){var i;return void 0===a&&(a=null),(i=e.call(this)||this).learningRate=t,i.beta1=n,i.beta2=r,i.epsilon=a,i.accumulatedFirstMoment=[],i.accumulatedSecondMoment=[],gI((function(){i.accBeta1=eC(n).variable(),i.accBeta2=eC(r).variable()})),null==a&&(i.epsilon=Nk.backend.epsilon()),i}Cv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);gI((function(){var r=_C(1,t.accBeta1),a=_C(1,t.accBeta2);n.forEach((function(n,i){var o=Nk.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:n+"/m",variable:gI((function(){return zT(o).variable(false)}))}),null==t.accumulatedSecondMoment[i]&&(t.accumulatedSecondMoment[i]={originalName:n+"/v",variable:gI((function(){return zT(o).variable(false)}))});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,l=t.accumulatedSecondMoment[i].variable,c=bS(kS(u,t.beta1),kS(s,1-t.beta1)),p=bS(kS(l,t.beta2),kS(nC(s),1-t.beta2)),h=wS(c,r),f=wS(p,a);u.assign(c),l.assign(p);var d=bS(kS(wS(h,bS(tC(f),t.epsilon)),-t.learningRate),o);o.assign(d)}})),t.accBeta1.assign(kS(t.accBeta1,t.beta1)),t.accBeta2.assign(kS(t.accBeta2,t.beta2))})),this.incrementIterations()},n.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&yI(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedSecondMoment&&yI(this.accumulatedSecondMoment.map((function(e){return e.variable})))},n.getWeights=function(){var e=Iv(kv().mark((function e(){var t;return kv().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)}}(),n.setWeights=function(){var e=Iv(kv().mark((function e(t){var n,r=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,gI((function(){r.accBeta1.assign($T(r.beta1,r.iterations_+1)),r.accBeta2.assign($T(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)}}(),n.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)},t}(e_);r_.className="Adam",cS(r_);var a_=function(e){function t(t,n,r,a,i){var o;return void 0===a&&(a=null),void 0===i&&(i=0),(o=e.call(this)||this).learningRate=t,o.beta1=n,o.beta2=r,o.epsilon=a,o.decay=i,o.accumulatedFirstMoment=[],o.accumulatedWeightedInfNorm=[],gI((function(){o.iteration=eC(0).variable(),o.accBeta1=eC(n).variable()})),null==a&&(o.epsilon=Nk.backend.epsilon()),o}Cv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);gI((function(){var r=_C(1,t.accBeta1),a=wS(-t.learningRate,bS(kS(t.iteration,t.decay),1));n.forEach((function(n,i){var o=Nk.registeredVariables[n];null==t.accumulatedFirstMoment[i]&&(t.accumulatedFirstMoment[i]={originalName:n+"/m",variable:zT(o).variable(false)}),null==t.accumulatedWeightedInfNorm[i]&&(t.accumulatedWeightedInfNorm[i]={originalName:n+"/v",variable:zT(o).variable(false)});var s=Array.isArray(e)?e[i].tensor:e[n];if(null!=s){var u=t.accumulatedFirstMoment[i].variable,l=t.accumulatedWeightedInfNorm[i].variable,c=bS(kS(u,t.beta1),kS(s,1-t.beta1)),p=kS(l,t.beta2),h=NS(s),f=jC(p,h);u.assign(c),l.assign(f);var d=bS(kS(wS(a,r),wS(c,bS(f,t.epsilon))),o);o.assign(d)}})),t.iteration.assign(bS(t.iteration,1)),t.accBeta1.assign(kS(t.accBeta1,t.beta1))})),this.incrementIterations()},n.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&yI(this.accumulatedFirstMoment.map((function(e){return e.variable}))),null!=this.accumulatedWeightedInfNorm&&yI(this.accumulatedWeightedInfNorm.map((function(e){return e.variable})))},n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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)}}(),n.setWeights=function(){var e=Iv(kv().mark((function e(t){return kv().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)}}(),n.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)},t}(e_);a_.className="Adamax",cS(a_);var i_=function(e){function t(t){var n;return(n=e.call(this)||this).learningRate=t,n.setLearningRate(t),n}Cv(t,e);var n=t.prototype;return n.applyGradients=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=Nk.registeredVariables[n];gI((function(){var e=bS(kS(t.c,a),i);i.assign(e)}))}})),this.incrementIterations()},n.setLearningRate=function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=bI(eC(-e))},n.dispose=function(){this.c.dispose()},n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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)}}(),n.setWeights=function(){var e=Iv(kv().mark((function e(t){return kv().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)}}(),n.getConfig=function(){return{learningRate:this.learningRate}},t.fromConfig=function(e,t){return new e(t.learningRate)},t}(e_);i_.className="SGD",cS(i_);var o_=function(e){function t(t,n,r){var a;return void 0===r&&(r=!1),(a=e.call(this,t)||this).learningRate=t,a.momentum=n,a.useNesterov=r,a.accumulations=[],a.m=eC(a.momentum),a}Cv(t,e);var n=t.prototype;return n.applyGradients=function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=Nk.registeredVariables[n];if(null==t.accumulations[r]){t.accumulations[r]={originalName:n+"/momentum",variable:gI((function(){return zT(a).variable(false)}))}}var i=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&gI((function(){var e,n=bS(kS(t.m,i),o);e=t.useNesterov?bS(kS(t.c,bS(o,kS(n,t.m))),a):bS(kS(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()},n.dispose=function(){this.m.dispose(),null!=this.accumulations&&yI(this.accumulations.map((function(e){return e.variable})))},n.setMomentum=function(e){this.momentum=e},n.getWeights=function(){var e=Iv(kv().mark((function e(){return kv().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)}}(),n.setWeights=function(){var e=Iv(kv().mark((function e(t){return kv().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)}}(),n.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},t.fromConfig=function(e,t){return new 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got "+e.length);t=e[0]}else t=e;return t}function gM(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return e[0];throw new LF("Expected exactly 1 Shape; got "+e.length)}return e}function yM(e){for(var t,n=0,r=Lv(e);!(t=r()).done;){var a=t.value;0===a.shape.length?n+=1:n+=a.shape.reduce((function(e,t){return e*t}))}return n}var bM="Variable",xM=function(){function e(e,t,n,r,a){void 0===t&&(t="float32"),void 0===n&&(n=bM),void 0===r&&(r=!0),void 0===a&&(a=null),this.dtype=null==t?"float32":t,this.shape=e.shape,this.id=oD(),n=null==n?bM:n,this.originalName=xD(n),this.name=wD(this.originalName),this.trainable_=r,this.constraint=a,this.val=NA(e,this.trainable_,this.name,this.dtype)}var t=e.prototype;return t.read=function(){return this.assertNotDisposed(),this.val},t.write=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},t.dispose=function(){this.assertNotDisposed(),this.val.dispose()},t.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error("LayersVariable "+this.name+" is already disposed.")},Tv(e,[{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function wM(e){return e.map((function(e){return e.read()}))}function kM(e){e.forEach((function(e){e[0].write(e[1])}))}var NM=function(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}},IM=function(e,t,n,r,a,i,o){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=a,this.outputTensorIndex=o,this.id=oD(),null!=i&&(this.originalName=xD(i),this.name=wD(this.originalName)),this.rank=t.length},SM=0,TM=function(){function e(e,t){this.callArgs=t,this.id=SM++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(var n,r=Lv(e.inboundLayers);!(n=r()).done;){var a=n.value;null!=a&&a.outboundNodes.push(this)}e.outboundLayer.inboundNodes.push(this)}return e.prototype.getConfig=function(){for(var e,t=[],n=Lv(this.inboundLayers);!(e=n()).done;){var r=e.value;null!=r?t.push(r.name):t.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},e}(),CM=0,EM=function(e){function t(t){var n;void 0===t&&(t={}),(n=e.call(this)||this)._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=CM++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=t.name;if(!r){var a=n.getClassName();r=HF(a)+"_"+uD(a)}if(n.name=r,n.trainable_=null==t.trainable||t.trainable,null!=t.inputShape||null!=t.batchInputShape){var i;if(null!=t.batchInputShape)i=t.batchInputShape;else if(null!=t.inputShape){var o=null;null!=t.batchSize&&(o=t.batchSize),i=[o].concat(t.inputShape)}n.batchInputShape=i;var s=t.dtype;null==s&&(s=t.inputDType),null==s&&(s="float32"),n.dtype=s}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n._refCount=null,n.fastWeightInitDuringBuild=!1,n}Cv(t,e),t.nodeKey=function(e,t){return e.name+"_ib-"+t.toString()};var n=t.prototype;return n.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new MF("The layer has never been called and thus has no defined "+t+".");if(this.inboundNodes.length<=e)throw new LF("Asked to get "+t+" at node "+e+", but the layer has only "+this.inboundNodes.length+" inbound nodes.");return this.inboundNodes[e]},n.getInputAt=function(e){return GF(this.getNodeAtIndex(e,"input").inputTensors)},n.getOutputAt=function(e){return GF(this.getNodeAtIndex(e,"output").outputTensors)},n.calculateLosses=function(){return this.losses.map((function(e){return e()}))},n.resetStates=function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")},n.assertInputCompatibility=function(e){if(e=jF(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=jF(this.inputSpec);if(e.length!==t.length)throw new LF("Layer "+this.name+" expects "+t.length+" inputs, but it received "+e.length+" input tensors. Input received: "+e);for(var n=0;n<e.length;n++){var r=e[n],a=t[n];if(null!=a){var i=r.rank;if(null!=a.ndim&&i!==a.ndim)throw new LF("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+a.ndim+", found ndim="+i);if(null!=a.maxNDim&&i>a.maxNDim)throw new LF("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+a.maxNDim+", found ndim="+i);if(null!=a.minNDim&&i<a.minNDim)throw new LF("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+a.minNDim+", found ndim="+i+".");if(null!=a.dtype&&r.dtype!==a.dtype)throw new LF("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+a.dtype+", found dtype="+r.dtype+".");if(a.axes){var o=r.shape;for(var s in a.axes){var u=Number(s),l=a.axes[s],c=u>=0?o[u]:o[o.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new LF("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+o+".")}}if(null!=a.shape)for(var p=0;p<a.shape.length;++p){var h=a.shape[p],f=r.shape[p];if(null!=h&&null!=f&&h!==f)throw new LF("Input "+n+" is incompatible with layer "+this.name+": expected shape="+a.shape+", found shape="+r.shape+".")}}}}},n.call=function(e,t){return e},n.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},n.setCallHook=function(e){this._callHook=e},n.clearCallHook=function(){this._callHook=null},n.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r,a=jF(e),i=!0,o=Lv(a);!(r=o()).done;){if(!(r.value instanceof IM)){i=!1;break}}for(var s,u=!0,l=Lv(a);!(s=l()).done;){if(s.value instanceof IM){u=!1;break}}if(i===u)throw new LF("Arguments to apply() must be all SymbolicTensors or all Tensors");return bD(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);for(var r,i=[],o=Lv(jF(e));!(r=o()).done;){var s=r.value;i.push(s.shape)}n.build(GF(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&u&&(n._refCount=1)}if(n.assertInputCompatibility(e),u){for(var l,c=n.call(e,t),p=[],h=Lv(jF(c));!(l=h()).done;){var f=l.value;-1!==a.indexOf(f)&&(f=f.clone()),p.push(f)}if(c=GF(p),null!=n.activityRegularizer)throw new zF("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return c}var d,m=function(e){e=jF(e);for(var t,n=[],r=Lv(e);!(t=r()).done;){var a=t.value;n.push(a.shape)}return GF(n)}(e),v=n.computeOutputShape(m),g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?m[0]:m),d=null!=v&&v.length>0&&Array.isArray(v[0])?v.map((function(r,a){return new IM(g,r,n,jF(e),t,n.name,a)})):new IM(g,v,n,jF(e),t,n.name),n.addInboundNode(e,d,null,null,m,v,t),n._refCount++,null!=n.activityRegularizer)throw new zF("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return d}))},n.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(e)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var t=!1;this.batchInputShape.forEach((function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)})),t&&console.warn("The shape of the input tensor ("+JSON.stringify(e)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},n.countParams=function(){if(!this.built)throw new MF("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return yM(this.weights)},n.build=function(e){this.built=!0},n.getWeights=function(e){return void 0===e&&(e=!1),wM(e?this.trainableWeights:this.weights)},n.setWeights=function(e){var t=this;gI((function(){var n=t.weights;if(n.length!==e.length)throw new LF('You called setWeights(weights) on layer "'+t.name+'" with a weight list of length '+e.length+", but the layer was expecting "+n.length+" weights. Provided weights: "+e+"...");if(0!==n.length){for(var r=[],a=wM(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!Jv(o.shape,u.shape))throw new LF("Layer weight shape "+o.shape+" not compatible with provided weight shape "+u.shape);r.push([s,u])}kM(r)}}))},n.addWeight=function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new LF("Duplicate weight name "+e+" for layer "+this.name);this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():fM("zeros"));var u=r.apply(t,n),l=new xM(u,n,e,i,o);return u.dispose(),null!=a&&this.addLoss((function(){return a.apply(l.read())})),null==i&&(i=!0),i?this._trainableWeights.push(l):this._nonTrainableWeights.push(l),l},n.setFastWeightInitDuringBuild=function(e){this.fastWeightInitDuringBuild=e},n.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=jF(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},n.computeOutputShape=function(e){return e},n.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")}))}return null}return t},n.addInboundNode=function(e,t,n,r,a,i,o){void 0===o&&(o=null);var s=jF(e);t=jF(t),n=jF(n),r=jF(r),a=mM(a),i=mM(i);for(var u,l=[],c=[],p=[],h=Lv(s);!(u=h()).done;){var f=u.value;l.push(f.sourceLayer),c.push(f.nodeIndex),p.push(f.tensorIndex)}new TM({outboundLayer:this,inboundLayers:l,nodeIndices:c,tensorIndices:p,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var d=0;d<t.length;d++)t[d].sourceLayer=this,t[d].nodeIndex=this.inboundNodes.length-1,t[d].tensorIndex=d},n.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},n.disposeWeights=function(){return this.weights.forEach((function(e){return e.dispose()})),this.weights.length},n.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Layer '"+this.name+"' is already disposed.")},n.dispose=function(){if(!this.built)throw new Error("Cannot dispose Layer "+this.name+" because it has not been built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer "+this.name+" because it has not been used yet.");this.assertNotDisposed();var e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}},Tv(t,[{key:"input",get:function(){if(this.inboundNodes.length>1)throw new DF("Layer "+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 DF("Layer "+this.name+" is not connected, no input to return.");return GF(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new DF("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new DF("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return GF(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{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:"outputShape",get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new DF("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var e,t=[],n=Lv(this.inboundNodes);!(e=n()).done;){var r=e.value,a=JSON.stringify(r.outputShapes);-1===t.indexOf(a)&&t.push(a)}if(1===t.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new DF("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.')}}]),t}(uS);function AM(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var a=[],i=0;i<r.inboundLayers.length;i++)for(var o,s=Lv(AM(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]));!(o=s()).done;){var u=o.value;-1===a.indexOf(u)&&a.push(u)}return a}var RM=function(e){function t(t){var n;if(n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:uD("input").toString()})||this,null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new LF("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new LF("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new LF("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var a=t.dtype||"float32";n.batchInputShape=r,n.dtype=a,n.inputSpec=[{shape:r}];var i=new IM(n.dtype,n.batchInputShape,Fv(n),[],{},n.name);return i.nodeIndex=0,i.tensorIndex=0,new TM({outboundLayer:Fv(n),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[i],outputTensors:[i],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}Cv(t,e);var n=t.prototype;return n.apply=function(e,t){throw new LF("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},n.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},n.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t}(EM);function _M(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. 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a,i=null!=n&&n.training,o=Array.isArray(e),s=o?e:[e],u=s.map((function(e){return e.name})),l=[],c=t.names(),p=Lv(u);!(a=p()).done;){var h=a.value;-1!==c.indexOf(h)?l.push(t.getValue(h)):l.push(null)}null!=r&&(r.maxNumTensors=-1/0,r.minNumTensors=1/0);var f,d=u.join(",")+"|"+t.names().sort().join(","),m=FM.get(d);if(null==m){var v=function(e,t){Hv(null!=e&&e.length>0,(function(){return"Expected at least one fetch, got none"}));var n=[],r={};if(1===e.length){var a=zM(e[0],t);n=a.sorted,r=a.recipientMap}else for(var i,o=new Set,s=Lv(e);!(i=s()).done;){for(var u,l=zM(i.value,t),c=l.sorted,p=l.recipientMap,h=Lv(c);!(u=h()).done;){var f=u.value;o.has(f.name)||(n.push(f),o.add(f.name))}var d=function(e){null==r[e]&&(r[e]=new Set),p[e].forEach((function(t){return r[e].add(t)}))};for(var m in p)d(m)}return{sorted:n,recipientCounts:LM(r)}}(s,t);m=v.sorted,f=v.recipientCounts,FM.put(d,m),DM.put(d,f)}f={},i||Object.assign(f,DM.get(d));for(var g=new OM(t),y=0;y<m.length;++y){if(null!=r){var b=vI().numTensors;b>r.maxNumTensors&&(r.maxNumTensors=b),b<r.minNumTensors&&(r.minNumTensors=b)}var x=m[y],w=x.sourceLayer;if(!(w instanceof RM)){for(var k,N=[],I=[],S=[],T=!1,C=Lv(x.inputs);!(k=C()).done;){var E=k.value,A=g.getValue(E),R=g.getMask(E);N.push(A),I.push(R),null!=R&&(T=!0),i||(f[E.name]--,0!==f[E.name]||t.hasKey(E)||-1!==u.indexOf(E.name)||A.isDisposed||!0===E.sourceLayer.stateful||S.push(A))}T&&((n=n||{}).mask=I[0]);var _=jF(w.apply(N,n)),O=null;w.supportsMasking&&(O=w.computeMask(N,I));for(var F=PM(x),D=Array.isArray(F)?F:[F],M=0;M<D.length;++M){g.hasKey(D[M])||g.add(D[M],_[M],Array.isArray(O)?O[0]:O);var L=u.indexOf(D[M].name);-1!==L&&(l[L]=_[M])}i||yI(S)}}return g.disposeMasks(),o?l:l[0]}function LM(e){var t={};for(var n in e)t[n]=e[n].size;return t}function zM(e,t){for(var n,r=new Set,a=[],i={},o=Lv(t.names());!(n=o()).done;){var s=n.value;r.add(s)}var u=[],l=[];for(u.push(e);u.length>0;){var c=u[u.length-1];if(r.has(c.name))u.pop();else{var p=l[l.length-1]===u.length-1;if(0===c.inputs.length||p)u.pop(),a.push(c),r.add(c.name),p&&l.pop();else{l.push(u.length-1);for(var h,f=Lv(c.inputs);!(h=f()).done;){var d=h.value;null==i[d.name]&&(i[d.name]=new Set),i[d.name].add(c.name),r.has(d.name)||u.push(d)}}}}return{sorted:a,recipientMap:i}}function PM(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)for(var a,i=Lv(e.sourceLayer.inboundNodes[r].outputTensors);!(a=i()).done;){if(a.value.id===e.id){n=r;break}}t=e.sourceLayer.getOutputAt(n)}return t}function BM(e,t){return gI((function(){return tC(rC(kS(e,e),t,!0))}))}Fg().registerFlag("TOPOLOGICAL_SORT_CACHE_MAX_ENTRIES",(function(){return 100}),(function(e){null!=FM&&FM.setMaxEntries(e),null!=DM&&DM.setMaxEntries(e)}));var WM=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.getConfig=function(){return{}},t}(uS),VM=function(e){function t(t){var n;return(n=e.call(this)||this).defaultMaxValue=2,n.defaultAxis=0,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}Cv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return gI((function(){var n=BM(e,t.axis),r=dT(n,0,t.maxValue);return kS(e,wS(r,bS(AD(),n)))}))},n.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},t}(WM);VM.className="MaxNorm",cS(VM);var UM=function(e){function t(t){var n;return(n=e.call(this)||this).defaultAxis=0,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}Cv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return gI((function(){return wS(e,bS(AD(),BM(e,t.axis)))}))},n.getConfig=function(){return{axis:this.axis}},t}(WM);UM.className="UnitNorm",cS(UM);var GM=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.apply=function(e){return DE(e)},t}(WM);GM.className="NonNeg",cS(GM);var jM=function(e){function t(t){var n;return(n=e.call(this)||this).defaultMinValue=0,n.defaultMaxValue=1,n.defaultRate=1,n.defaultAxis=0,n.minValue=null!=t.minValue?t.minValue:n.defaultMinValue,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.rate=null!=t.rate?t.rate:n.defaultRate,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}Cv(t,e);var n=t.prototype;return n.apply=function(e){var t=this;return gI((function(){var n=BM(e,t.axis),r=bS(kS(t.rate,dT(n,t.minValue,t.maxValue)),kS(1-t.rate,n));return kS(e,wS(r,bS(AD(),n)))}))},n.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t}(WM);jM.className="MinMaxNorm",cS(jM);var HM={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function qM(e){return XF(e)}function KM(e,t){return void 0===t&&(t={}),JF(e,lS.getMap().classNameMap,t,"constraint")}function XM(e){return null==e?null:"string"==typeof e?KM({className:e in HM?HM[e]:e,config:{}}):e instanceof WM?e:KM(e)}var YM={__proto__:null,maxNorm:function(e){return new VM(e)},unitNorm:function(e){return new UM(e)},nonNeg:function(){return new GM},minMaxNorm:function(e){return new jM(e)}};var JM,ZM={__proto__:null,zeros:function(){return new YD},ones:function(){return new JD},constant:function(e){return new ZD(e)},randomUniform:function(e){return new QD(e)},randomNormal:function(e){return new $D(e)},truncatedNormal:function(e){return new eM(e)},identity:function(e){return new tM(e)},varianceScaling:function(e){return new nM(e)},glorotUniform:function(e){return new rM(e)},glorotNormal:function(e){return new aM(e)},heNormal:function(e){return new iM(e)},heUniform:function(e){return new oM(e)},leCunNormal:function(e){return new sM(e)},leCunUniform:function(e){return new uM(e)},orthogonal:function(e){return new lM(e)}};function QM(e){return $M.apply(this,arguments)}function $M(){return $M=Iv(kv().mark((function e(t){var n,r,a,i,o,s,u,l;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 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e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchBegin=function(){var e=Iv(kv().mark((function e(t,n){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchEnd=function(){var e=Iv(kv().mark((function e(t,n){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}(),t.onTrainBegin=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}(),t.onTrainEnd=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}(),t.setModel=function(e){},e}(),nL=function(){function e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}var t=e.prototype;return t.append=function(e){this.callbacks.push(e)},t.setParams=function(e){for(var t,n=Lv(this.callbacks);!(t=n()).done;){t.value.setParams(e)}},t.setModel=function(e){for(var t,n=Lv(this.callbacks);!(t=n()).done;){t.value.setModel(e)}},t.onEpochBegin=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onEpochBegin(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onEpochEnd=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onEpochEnd(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchBegin=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onBatchBegin(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onBatchEnd=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Lv(this.callbacks);case 2:if((a=r()).done){e.next=8;break}return i=a.value,e.next=6,i.onBatchEnd(t,n);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.onTrainBegin=function(){var e=Iv(kv().mark((function e(t){var n,r,a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=Lv(this.callbacks);case 2:if((r=n()).done){e.next=8;break}return a=r.value,e.next=6,a.onTrainBegin(t);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.onTrainEnd=function(){var e=Iv(kv().mark((function e(t){var n,r,a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==t&&(t={}),n=Lv(this.callbacks);case 2:if((r=n()).done){e.next=8;break}return a=r.value,e.next=6,a.onTrainEnd(t);case 6:e.next=2;break;case 8:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),e}(),rL=function(e){function t(){return e.call(this)||this}Cv(t,e);var n=t.prototype;return n.onEpochBegin=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.seen=0,this.totals={};case 2:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.onBatchEnd=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i,o=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(i in null==n&&(n={}),r=null==n.size?0:n.size,this.seen+=r,a=function(e){var t=n[e];if("number"==typeof t)o.totals.hasOwnProperty(e)||(o.totals[e]=0),o.totals[e]=o.totals[e]+t*r;else{var a;e in o.totals?a=o.totals[e]:o.totals[e]=0;var i=gI((function(){return bS(o.totals[e],kS(t,r))}));o.totals[e]=i,null!=a&&a.dispose()}},n)a(i);case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.onEpochEnd=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i,o=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n){e.next=9;break}r=function(){var e=i.value;if(null==o.totals[e])return"continue";"number"==typeof o.totals[e]?n[e]=o.totals[e]/o.seen:gI((function(){var t=kS(wS(1,o.seen),o.totals[e]);n[e]=t,o.totals[e].dispose(),bI(n[e])}))},a=Lv(this.params.metrics);case 3:if((i=a()).done){e.next=9;break}if("continue"!==r()){e.next=7;break}return e.abrupt("continue",7);case 7:e.next=3;break;case 9:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t}(tL),aL=function(e){function t(){return e.apply(this,arguments)||this}Cv(t,e);var n=t.prototype;return n.onTrainBegin=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.epoch=[],this.history={};case 2:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.onEpochEnd=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(r in null==n&&(n={}),this.epoch.push(t),n)null==this.history[r]&&(this.history[r]=[]),this.history[r].push(n[r]);case 3:case"end":return e.stop()}}),e,this)})));return 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Layer names: "+JSON.stringify(ge))},be=Lv(ge);!(ve=be()).done;)ye();return r.outboundNodes=[],r.inboundNodes=[],new TM({outboundLayer:Fv(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map((function(e){return null})),outputMasks:r.outputs.map((function(e){return null})),inputShapes:r.inputs.map((function(e){return e.shape})),outputShapes:r.outputs.map((function(e){return e.shape}))}),r.built=!0,r._refCount=1,r}Cv(t,e);var n=t.prototype;return n.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Container '"+this.name+"' is already disposed.")},n.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount){for(var t,n=Lv(this.layers);!(t=n()).done;){var r=t.value;e.numDisposedVariables+=r.dispose().numDisposedVariables}for(var a,i=Lv(this.internalContainerRefs);!(a=i()).done;){var o=a.value;e.numDisposedVariables+=o.dispose().numDisposedVariables}}return e.refCountAfterDispose=this._refCount,e},n.loadWeights=function(e,t){void 0===t&&(t=!0);for(var n,r={},a=0,i=Lv(this.layers);!(n=i()).done;)for(var o,s=Lv(n.value.weights);!(o=s()).done;){var u=o.value;if(null!=r[u.originalName])throw new LF("Duplicate weight name: "+u.originalName);r[u.originalName]=u,a++}var l=[];for(var c in e){var p=c;if(null==r[c]){var h=c.split("/");p=h.slice(0,-2).concat([h[h.length-1]]).join("/")}if(null!=r[p])l.push([r[p],e[c]]);else if(t)throw new LF("Provided weight data has no target variable: "+c);delete r[p]}if(t){var f=[];for(var d in r)f.push(d);if(f.length>0)throw new LF(f.length+" of "+a+" weights are not set: "+f)}kM(l)},n.updatedConfig=function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers 4.1.0",t.backend="TensorFlow.js",t},n.toJSON=function(e,t){void 0===t&&(t=!0);var n=GL(this.updatedConfig());return t?JSON.stringify(n):n},n.call=function(e,t){var n=this;return gI((function(){e=jF(e);for(var r=new OM,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],e[a]);return MM(n.outputs,r,t)}))},n.computeMask=function(e,t){var n=this;return gI((function(){var r;return e=jF(e),r=null==t?WF(null,e.length):jF(t),n.runInternalGraph(e,r)[1]}))},n.computeOutputShape=function(e){var t=mM(e);if(t.length!==this.inputLayers.length)throw new LF("Invalid inputShape argument "+e+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<t.length;r++){var a=this.inputLayers[r],i=t[r];n[a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(ZF);if(o.length>1)for(var s,u=Lv(o);!(s=u()).done;)for(var l,c=s.value,p=Lv(this.nodesByDepth[c]);!(l=p()).done;){var h=l.value,f=h.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(f.id)){for(var d=[],m=0;m<h.inboundLayers.length;m++){var v=h.inboundLayers[m],g=h.nodeIndices[m],y=h.tensorIndices[m],b=n[v.name+"_"+g+"_"+y];d.push(b)}for(var x=mM(f.computeOutputShape(GF(d))),w=f.inboundNodes.indexOf(h),k=0;k<x.length;k++){n[f.name+"_"+w+"_"+k]=x[k]}}}for(var N=[],I=[],S=0;S<this.outputLayers.length;S++){var T=this.outputLayers[S],C=this.outputLayersNodeIndices[S],E=this.outputLayersTensorIndices[S],A=T.name+"_"+C+"_"+E;I.push(A)}for(var R=0;R<I.length;R++){var _=I[R];VF(_ in n),N.push(n[_])}return GF(N)},n.runInternalGraph=function(e,t){null==t&&(t=WF(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=e[r],o=t[r];n[a.id]=[i,o]}for(var s,u=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(ZF),l=Lv(u);!(s=l()).done;)for(var c,p=s.value,h=Lv(this.nodesByDepth[p]);!(c=h()).done;){for(var f,d=c.value,m=d.outboundLayer,v=d.inputTensors,g=d.outputTensors,y=new Array,b=Lv(v);!(f=b()).done;){var x=f.value;x.id in n&&y.push(n[x.id])}if(y.length===v.length){var w={},k=void 0,N=void 0,I=void 0,S=void 0;if(null!=d.callArgs&&(w=d.callArgs),1===y.length){var T=y[0],C=T[0],E=T[1];null==w.mask&&(w.mask=E),I=jF(m.call(C,w)),S=jF(m.computeMask(C,E)),k=[C],N=[E]}else k=y.map((function(e){return e[0]})),N=y.map((function(e){return e[1]})),null==w.mask&&(w.mask=N),I=jF(m.call(k,w)),S=jF(m.computeMask(k,N));if(m.activityRegularizer)throw new zF("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var A=0;A<g.length;++A){var R=g[A],_=I[A],O=S[A];n[R.id]=[_,O]}}}for(var F,D=[],M=[],L=[],z=Lv(this.outputs);!(F=z()).done;){var P=F.value;VF(P.id in n,"Could not compute output "+P.name+" : "+P.id);var B=n[P.id],W=B[0],V=B[1];L.push(W.shape),D.push(W),M.push(V)}return[D,M,L]},n.buildNodeConversionMap=function(e){for(var n,r,a={},i=Lv(this.layers);!(r=i()).done;){var o=r.value;n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=t.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=n,n+=1)}}return a},n.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new LF("Was asked to retrieve layer at index "+t+", but model only has "+this.layers.length+" layer(s).");return this.layers[t]}if(null==e)throw new LF("Provide either a layer name or layer index");for(var n,r=Lv(this.layers);!(n=r()).done;){var a=n.value;if(a.name===e)return a}throw new LF("No such layer: "+e)},n.calculateLosses=function(){var e=this;return gI((function(){for(var n,r=[],a=Lv(e.layers);!(n=a()).done;)for(var i=n.value,o=0;o<i.inboundNodes.length;++o){var s=t.nodeKey(i,o);e.containerNodes.has(s)&&r.push.apply(r,i.calculateLosses())}return r}))},n.getConfig=function(){for(var e,n={name:this.name},r=this.buildNodeConversionMap(this.layers),a=[],i=Lv(this.layers);!(e=i()).done;){for(var o=e.value,s=o.getClassName(),u=o.getConfig(),l=[],c=0;c<o.inboundNodes.length;c++){var p=o.inboundNodes[c],h=t.nodeKey(o,c),f={};if(this.containerNodes.has(h)){if(p.callArgs)try{JSON.stringify(p.callArgs),f=p.callArgs}catch(e){console.warn("Layer "+o.name+" was passed non-serializable keyword arguments: "+p.callArgs+". They will not be included in the serialized model (and thus will be missing at deserialization time)."),f={}}if(p.inboundLayers.length>0){for(var d=[],m=0;m<p.inboundLayers.length;m++){var v=p.inboundLayers[m],g=p.nodeIndices[m],y=p.tensorIndices[m],b=r[t.nodeKey(v,g)];null==b&&(b=0),d.push([v.name,b,y,f])}l.push(d)}}}var x={};x.name=o.name,x.className=s,x.config=u,x.inboundNodes=l,a.push(x)}n.layers=a;for(var w=[],k=0;k<this.inputLayers.length;k++){var N=this.inputLayers[k],I=this.inputLayersNodeIndices[k],S=t.nodeKey(N,I);if(this.containerNodes.has(S)){var T=r[S];null==T&&(T=0);var C=this.inputLayersTensorIndices[k];w.push([N.name,T,C])}}n.inputLayers=w;for(var E=[],A=0;A<this.outputLayers.length;A++){var R=this.outputLayers[A],_=this.outputLayersNodeIndices[A],O=t.nodeKey(R,_);if(this.containerNodes.has(O)){var F=r[O];null==F&&(F=0);var D=this.outputLayersTensorIndices[A];E.push([R.name,F,D])}}return n.outputLayers=E,n},t.fromConfig=function(e,t,n,r){void 0===n&&(n={}),void 0===r&&(r=!1);var a={},i={};function o(e,t){e.name in i?i[e.name].push(t):i[e.name]=[t]}function s(e,t){for(var n,r,i=[],s=Lv(t);!(r=s()).done;){var u=r.value,l=u[0],c=u[1],p=u[2];if(n=null==u[3]?{}:u[3],!(l in a))return void o(e,t);var h=a[l];if(h.inboundNodes.length<=c)return void o(e,t);var f=h.inboundNodes[c];i.push(f.outputTensors[p])}i.length>0&&e.apply(GF(i),n)}function u(e){var n=e.name,i=lL(e,null!=t.customObjects?t.customObjects:{});i.setFastWeightInitDuringBuild(r),a[n]=i,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new LF("Corrupted configuration, expected array for nodeData: "+e);o(i,e)}))}for(var l,c=t.name,p=t.layers,h=Lv(p);!(l=h()).done;){u(l.value)}for(;!$F(i);)for(var f,d=Lv(p);!(f=d()).done;){var m=f.value,v=a[m.name];if(v.name in i){var g=i[v.name];delete i[v.name];for(var y,b=Lv(g);!(y=b()).done;){s(v,y.value)}}}for(var x,w=[],k=[],N=Lv(t.inputLayers);!(x=N()).done;){var I=x.value,S=I[0],T=I[1],C=I[2];VF(S in a);var E=a[S].inboundNodes[T].outputTensors;w.push(E[C])}for(var A,R=Lv(t.outputLayers);!(A=R()).done;){var _=A.value,O=_[0],F=_[1],D=_[2];VF(O in a);var M=a[O].inboundNodes[F].outputTensors;k.push(M[D])}return new e({inputs:w,outputs:k,name:c})},n.resetStates=function(){var e=this;gI((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))},Tv(t,[{key:"trainable",get:function(){return this.trainable_},set:function(e){this.layers.forEach((function(t){t._trainableWeights.forEach((function(t){return t.trainable=e}))})),this.trainable_=e}},{key:"trainableWeights",get:function(){if(this._trainableWeights.length>0)throw new LF("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var e,t=[],n=Lv(this.layers);!(e=n()).done;){var r=e.value;t=t.concat(r.trainableWeights)}return t}},{key:"nonTrainableWeights",get:function(){for(var e,t=[],n=Lv(this.layers);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=Lv(this.layers);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){if(this._stateful)throw new LF("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(var e,t=Lv(this.layers);!(e=t()).done;){if(e.value.stateful)return!0}return!1}}]),t}(EM);function qL(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 "+n+" is an array of "+e.length+" element(s), but the model has "+r+" outputs. Make sure a set of weights is provided for each model output.");return e}if("object"==typeof e&&Object.keys(e).length>0&&"object"==typeof e[Object.keys(e)[0]]){var a=[];return t.forEach((function(t){t in e?a.push(e[t]):a.push(null)})),a}throw new Error("The model has multiple ("+r+") outputs, so "+n+" must be either an array with "+r+" elements or an object with "+t+" keys. Provided "+n+" not understood: "+JSON.stringify(e))}function KL(e,t){return qL(e,t,"classWeight")}function XL(e,t,n,r){return YL.apply(this,arguments)}function YL(){return(YL=Iv(kv().mark((function e(t,n,r,a){var i,o,s;return kv().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=gI((function(){if(1===t.shape.length)return jN(t);if(2===t.shape.length){if(t.shape[1]>1){return AS(t,1)}if(1===t.shape[1])return JS(t,[t.shape[0]]);throw new Error("Encountered unexpected last-dimension size ("+t.shape[1]+") during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor ("+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),yI(i),s=[],o.forEach((function(e){if(null==r[e])throw new Error("classWeight must contain all classes in the training data. The class "+e+" exists in the data but not in classWeight");s.push(r[e])})),e.abrupt("return",hA(s,"float32"));case 15:return e.abrupt("return",null);case 16:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function JL(e,t){return kS(e,t)}function ZL(e,t){var n,r,a=t;n=a.xs,r=a.ys,Hv(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 "+t}));var i=QL("input",e.inputNames,n),o=QL("output",e.outputNames,r),s=i[0].shape[0];Hv(i.length===e.inputs.length,(function(){return"LayersModel has "+e.inputs.length+" inputs, but the dataset provides "+i.length+" inputs.  (Expected input keys: "+JSON.stringify(e.inputNames)+")"})),Hv(o.length===e.outputs.length,(function(){return"LayersModel has "+e.outputs.length+" outputs, but the dataset provides "+o.length+" outputs.  (Expected output keys: "+JSON.stringify(e.outputNames)+")"}));for(var u=function(t){Hv(i[t].shape[0]===s,(function(){return"Batch size mismatch: input "+e.inputNames[t]+" has "+i[t].shape[0]+"; expected  "+s+" based on input "+e.inputNames[0]+"."}))},l=0;l<i.length;l++)u(l);for(var c=function(t){Hv(o[t].shape[0]===s,(function(){return"Batch size mismatch: output "+e.outputNames[t]+" has "+o[t].shape[0]+"; expected  "+s+" based on input "+e.inputNames[0]+"."}))},p=0;p<o.length;p++)c(p);return{xs:i,ys:o}}function QL(e,t,n){if(n instanceof tk)return[n];if(Array.isArray(n))return Hv(n.length===t.length,(function(){return"Received an array of "+n.length+" Tensors, but expected "+t.length+" to match the "+e+" keys "+t+"."})),n;for(var r,a=[],i=Lv(t);!(r=i()).done;){var o=r.value;if(null==n[o])throw new LF("The feature data generated by the dataset lacks the required "+e+" key '"+o+"'.");a.push(n[o])}return a}function $L(e){if(3===e.length)throw new zF("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}function ez(e,t,n){return tz.apply(this,arguments)}function tz(){return tz=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T,C,E,A,R,_,O,F,D,M,L;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=r.batchesPerEpoch,Hv(null!=t.optimizer,(function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."})),Hv(null!=r,(function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."})),Hv(null!=r.epochs&&r.epochs>0&&Number.isInteger(r.epochs),(function(){return"For fitDataset(), config.epochs is expected to be a positive integer, but got "+r.epochs})),Hv(!a||r.batchesPerEpoch>0&&Number.isInteger(r.batchesPerEpoch),(function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got "+r.batchesPerEpoch})),Hv(null==r.validationSplit,(function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&(rz(r.validationData)?Hv(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.validationBatches),(function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got "+r.validationBatches})):(u=$L(r.validationData),o=u.xs,s=u.ys)),l=t.makeTrainFunction(),c=t.getDedupedMetricsNames(),p=i?c.slice().concat(c.map((function(e){return"val_"+e}))):c.slice(),h=oL(r.callbacks,r.yieldEvery),f=null==r.verbose?1:r.verbose,d=uL(h,f,r.epochs,null,null,nz(n,r),null,i,p),m=d.callbackList,v=d.history,m.setModel(t),t.history=v,e.next=22,m.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,m.onEpochBegin(g);case 31:if(x=0,w=0,a){e.next=37;break}return e.next=36,n.iterator();case 36:y=e.sent;case 37:if(a&&!(x<r.batchesPerEpoch)){e.next=91;break}return e.next=40,y.next();case 40:if(k=e.sent,!a||!k.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+r.batchesPerEpoch+", but your dataset iterator ran out of data after "+x+" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+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==k.value){e.next=73;break}return N=ZL(t,k.value),I=N.xs,S=N.ys,(T={}).batch=w,T.size=I[0].shape[0],e.next=51,m.onBatchBegin(w,T);case 51:if(C=[],null==r.classWeight){e.next=64;break}E=KL(r.classWeight,t.outputNames),A=0;case 55:if(!(A<E.length)){e.next=64;break}return e.t0=C,e.next=59,XL(S[A],null,E[A]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++A,e.next=55;break;case 64:for(R=I.concat(S).concat(C),_=l(R),yI(R),O=0;O<c.length;++O)F=c[O],D=_[O],T[F]=D,bI(D);return e.next=70,m.onBatchEnd(w,T);case 70:eL(T),w++,x++;case 73:if(!(a?x>=r.batchesPerEpoch:k.done)){e.next=87;break}if(!i){e.next=86;break}if(M=void 0,!rz(r.validationData)){e.next=84;break}return e.t2=jF,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,M=(0,e.t2)(e.t3),e.next=85;break;case 84:M=jF(t.evaluate(o,s,{batchSize:null==r.validationBatchSize?32:r.validationBatchSize,verbose:0}));case 85:for(L=0;L<t.metricsNames.length;++L)b["val_"+t.metricsNames[L]]=M[L];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,m.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,m.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]])}))),tz.apply(this,arguments)}function nz(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function rz(e){return"function"==typeof e.iterator}function az(e){return"function"==typeof e.next}function iz(e,t,n){return oz.apply(this,arguments)}function oz(){return oz=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h;return kv().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 zF("Verbose mode is not implemented yet.");case 6:if(Hv(!a||r.batches>0&&Number.isInteger(r.batches),(function(){return"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(r.batches)})),!az(n)){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,l=0,c=kv().mark((function e(){var n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,s.next();case 2:if(n=e.sent,o=gI((function(){return n.value&&function(){var e=ZL(t,n.value),r=e.xs,a=e.ys,s=r.concat(a),c=gI((function(){return i(s)}));if(yI(s),0===l)for(var p=0;p<c.length;++p)o.push(eC(0));for(var h=s[0].shape[0],f=function(e){var t=c[e],n=o[e];o[e]=gI((function(){return bS(o[e],kS(h,t))})),l>0&&yI(n)},d=0;d<c.length;++d)f(d);yI(c),u+=h,++l}(),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, "+r.batches+" batches). 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Need data for each key in: '+t);s.push(e[c])}}else if(fz(e)){if(e.length!==t.length)throw new LF("Error when checking model "+a+": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see "+t.length+" Tensor(s), but instead got the following list of Tensor(s): "+e);s=e}else{if(t.length>1)throw new LF("The model "+a+" expects "+t.length+" Tensor(s), but only received one Tensor. Found: Tensor with shape "+e.shape);s=[e]}if(s=pz(s),null!=n)for(var p=0;p<t.length;++p)if(null!=n[p]){var h=s[p];if(h.shape.length!==n[p].length)throw new LF("Error when checking "+a+": expected "+t[p]+" to have "+n[p].length+" dimension(s). but got array with shape "+h.shape);for(var f=0;f<n[p].length;++f)if(0!==f||r){var d=h.shape[f],m=n[p][f];if(null!=m&&m>=0&&d!==m)throw new LF(a+" expected a batch of elements where each example has shape ["+n[p].slice(1,n[p].length)+"] (i.e.,tensor shape [*,"+n[p].slice(1,n[p].length)+"]) but the "+a+" received an input with "+h.shape[0]+" examples, each with shape ["+h.shape.slice(1,h.shape.length)+"] (tensor shape ["+h.shape+"])")}}return s}function vz(e,t,n,r,a){var i;if(void 0===r&&(r=!0),void 0===a&&(a=""),Array.isArray(e)){if(e.length!==t.length)throw new LF("Error when checking model "+a+": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see "+t.length+" Tensor(s), but instead got "+e.length+" Tensors(s).");i=e}else{if(t.length>1)throw new LF("The model expects "+t.length+" "+a+" Tensors, but only received one Tensor. Found: array with shape "+JSON.stringify(e.shape)+".");i=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=i[o];if(s.shape.length!==n[o].length)throw new LF("Error when checking "+a+": expected "+t[o]+" to have "+n[o].length+" dimension(s), but got array with shape "+JSON.stringify(s.shape));for(var u=0;u<n[o].length;++u)if(0!==u||r){var l=s.shape[u],c=n[o][u];if(null!=c&&c!==l)throw new LF("Error when checking "+a+": expected "+t[o]+" to have shape "+JSON.stringify(n[o])+" but got array with shape "+JSON.stringify(s.shape)+".")}}}var gz=function(e){function t(t){var n;return(n=e.call(this,t)||this).isTraining=!1,n}Cv(t,e);var n=t.prototype;return n.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new LF("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");zL(this,e,t,n)},n.compile=function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,"string"==typeof e.optimizer)this.optimizer_=function(e){var t={Adagrad:function(){return c_.adagrad(.01)},Adadelta:function(){return c_.adadelta(1,.95,AD())},Adam:function(){return c_.adam(.001,.9,.999,AD())},Adamax:function(){return c_.adamax(.002,.9,.999,AD(),0)},RMSProp:function(){return c_.rmsprop(.001,.9,0,AD())},SGD:function(){return c_.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new LF("Unknown Optimizer "+e)}(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof e_))throw new LF("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}var n=[];if(Array.isArray(e.loss)||"string"==typeof e.loss||"function"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new LF("When passing an Array as loss, it should have one entry per model output. The model has "+this.outputs.length+" output(s), but you passed loss="+e.loss+".");var r=e.loss;n=r.map((function(e){return wL(e)}))}else{var a=wL(e.loss);this.outputs.forEach((function(e){n.push(a)}))}else{for(var i in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(i))throw new LF('Unknown entry in loss dictionary: "'+i+'". Only expected the following keys: '+this.outputNames);for(var o,s=Lv(this.outputNames);!(o=s()).done;){var u=o.value;null==e.loss[u]&&console.warn('Output "'+u+'" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to '+u+" during training"),n.push(wL(e.loss[u]))}}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var l=0;l<this.outputs.length;++l){var c=this.internalOutputShapes[l],p=this.outputNames[l];this.feedOutputNames.push(p),this.feedOutputShapes.push(c),this.feedLossFns.push(this.lossFunctions[l])}var h=[];this.metrics=e.metrics,this.metricsNames=["loss"],this.metricsTensors=[],bD("loss",(function(){for(var e=0;e<t.outputs.length;++e)if(-1===h.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+"_loss"))}}));var f=function(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return[]}));var n;if("string"==typeof e||"function"==typeof e)n=[e];else{if(!Array.isArray(e)&&"object"!=typeof e)throw new TypeError("Type of metrics argument not understood. Expected an string,function, Array, or Object, found: "+e);n=e}if(Array.isArray(n))return t.map((function(e){return n}));for(var r,a=[],i=Lv(t);!(r=i()).done;){var o=r.value,s=n.hasOwnProperty(o)?n[o]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}(e.metrics,this.outputNames),d=function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+"_"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])};bD("metric",(function(){for(var e=function(e){if(-1!==h.indexOf(e))return"continue";!function(n){for(var r,a,i,o,s=Lv(n);!(o=s()).done;){var u=o.value;if("string"==typeof u&&-1!==["accuracy","acc","crossentropy","ce"].indexOf(u)){var l=t.internalOutputShapes[e];1===l[l.length-1]||t.lossFunctions[e]===gL?-1!==["accuracy","acc"].indexOf(u)?a=kL:-1!==["crossentropy","ce"].indexOf(u)&&(a=CL):t.lossFunctions[e]===vL?-1!==["accuracy","acc"].indexOf(u)?a=EL:-1!==["crossentropy","ce"].indexOf(u)&&(a=RL):-1!==["accuracy","acc"].indexOf(u)?a=NL:-1!==["crossentropy","ce"].indexOf(u)&&(a=AL);var c=void 0;-1!==["accuracy","acc"].indexOf(u)?c="acc":-1!==["crossentropy","ce"].indexOf(u)&&(c="ce"),i=a,r=""+c}else{var p=OL(u);i=p,r=""+FL(u)}var h=void 0;bD(r,(function(){h=i})),d(e,r,h)}}(f[e])},n=0;n<t.outputs.length;++n)e(n)})),this.collectedTrainableWeights=this.trainableWeights},n.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")},n.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;sz(r);var a=this.standardizeUserDataXY(e,t,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return GF(this.testLoop(o,i,r,n.verbose,n.steps))}finally{hz(a[0],e),hz(a[1],t)}},n.evaluateDataset=function(){var e=Iv(kv().mark((function e(t,n){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.makeTestFunction(),e.abrupt("return",iz(this,t,n));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.checkNumSamples=function(e,t,n,r){var a;if(void 0===r&&(r="steps"),null!=n){if(a=null,null!=t)throw new LF("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+t)}else{if(null==e)throw new LF("Either the input data should have a defined shape, or "+r+" shoud be specified.");a=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return a},n.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new LF("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(t),r=n?t:[t],a=this.retrieveSymbolicTensors(r),i=new OM;if(e instanceof tk&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new LF("The number of inputs provided ("+e.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var o=0;o<this.inputs.length;++o)i.add(this.inputs[o],e[o])}else for(var s,u=Lv(this.inputs);!(s=u()).done;){var l=s.value,c=e[l.name];if(null==c)throw new LF("No value is provided for the model's input "+l.name);i.add(l,c)}var p=MM(a,i);return n?p:p[0]},n.retrieveSymbolicTensors=function(e){for(var t,n=WF(null,e.length),r=e.length,a=Lv(this.layers);!(t=a()).done;){for(var i=t.value,o=Array.isArray(i.output)?i.output:[i.output],s=o.map((function(e){return e.name})),u=0;u<e.length;++u){var l=s.indexOf(e[u]);if(-1!==l&&(n[u]=o[l],r--),0===r)break}if(0===r)break}if(r>0){var c=[];throw n.forEach((function(t,n){null==t&&c.push(e[n])})),new LF("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return n},n.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),gI((function(){var a=r.checkNumSamples(e);if(n)throw new zF("Verbose predictLoop() is not implemented yet.");for(var i=cz(a,t),o=r.outputs.map((function(e){return[]})),s=function(t){gI((function(){var n=i[t][0],a=i[t][1],o=uz(e,n,a),s=[];if(Array.isArray(o))for(var u=0;u<o.length;++u)s.push({key:r.inputs[u],value:o[u]});else s.push({key:r.inputs[0],value:o});var l=new OM(s);return MM(r.outputs,l)})).forEach((function(e,t){return o[t].push(e)}))},u=0;u<i.length;++u)s(u);return GF(o.map((function(e){return $S(e,0)})))}))},n.predict=function(e,t){void 0===t&&(t={});var n=pz(e);vz(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return sz(r),this.predictLoop(n,r)}finally{hz(n,e)}},n.predictOnBatch=function(e){vz(e,this.inputNames,this.feedInputShapes,!0);var t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)},n.standardizeUserDataXY=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new MF("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var a=[],i=0;i<this.feedOutputShapes.length;++i){var o=this.feedOutputShapes[i];this.feedLossFns[i]===vL?a.push(o.slice(0,o.length-1).concat([1])):a.push(o)}if(function(e,t,n){var r=QF(e.map((function(e){return e.shape[0]})));r.sort();var a=QF(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new LF("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map((function(e){return e.shape}))));if(a.length>1)throw new LF("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map((function(e){return e.shape}))));if(r.length>0&&a.length>0&&!Jv(r,a))throw new LF("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+a[0]+" target sample(s).")}(e=mz(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=mz(t,this.feedOutputNames,a,!1,"target")),function(e,t,n){for(var r=[pL,gL,mL],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===mL&&1===i.shape[i.shape.length-1])throw new LF("You are passing a target array of shape "+i.shape+" while using a loss 'categorical_crossentropy'. '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),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new LF("A target Tensor with shape "+i.shape+" was passed for an output of shape "+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!=r&&r>0&&e[0].shape[0]%r!=0)throw new LF("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+e[0].shape[0]+" sample(s).");return[e,t]},n.standardizeUserData=function(){var e=Iv(kv().mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===i&&(i=!0),s=this.standardizeUserDataXY(t,n,i,o),u=s[0],l=s[1],null==r){e.next=4;break}throw new Error("sample weight is not supported yet.");case 4:if(c=null,null==a){e.next=18;break}p=KL(a,this.outputNames),c=[],h=0;case 9:if(!(h<p.length)){e.next=18;break}return e.t0=c,e.next=13,XL(l[h],null,p[h]);case 13:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 15:++h,e.next=9;break;case 18:return e.abrupt("return",[u,l,c]);case 19:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i,o){return e.apply(this,arguments)}}(),n.testLoop=function(e,t,n,r,a){var i=this;return void 0===r&&(r=0),gI((function(){var o=i.checkNumSamples(t,n,a,"steps"),s=[];if(r>0)throw new zF("Verbose mode is not implemented yet.");if(null!=a)throw new zF("steps mode in testLoop() is not implemented yet");for(var u=cz(o,n),l=hA(ED(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=OD(l,p,h-p),d=lz(t,f),m=e(d);if(0===c)for(var v=0;v<m.length;++v)s.push(eC(0));for(var g=0;g<m.length;++g){var y=m[g];s[g]=bS(s[g],kS(h-p,y))}}for(var b=0;b<s.length;++b)s[b]=wS(s[b],o);return s}))},n.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;if(UF(e,r)>1)a+="_"+UF(e.slice(0,n),r);t.push(a)}return t},n.makeTrainFunction=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,l=new OM(t),c=MM(e.outputs,l,{training:!0}),p=0;p<e.lossFunctions.length;++p){var h=(0,e.lossFunctions[p])(a[p],c[p]);null!=i[p]&&(h=JL(h,i[p]));var f=HC(h);n.push(f),u=0===p?h:bS(u,h)}for(var d=0;d<e.metricsTensors.length;++d){var m=void 0;if(e.outputs.length>1&&d<e.outputs.length)m=n[d];else{var v=e.metricsTensors[d][0],g=e.metricsTensors[d][1];m=HC(v(a[g],c[g]))}bI(m),o.push(m)}return u=HC(u),e.calculateLosses().forEach((function(e){u=bS(u,e)})),u}),!0,s)].concat(o)}},n.makeTestFunction=function(){var e=this;this.testFunction=function(t){return gI((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 OM(o),l=MM(e.outputs,u),c=0;c<e.lossFunctions.length;++c){var p=e.lossFunctions[c],h=HC(p(i[c],l[c]));n=0===c?h:bS(n,h),r.push(n)}for(var f=0;f<e.metricsTensors.length;++f){var d=e.metricsTensors[f][0],m=e.metricsTensors[f][1],v=HC(d(i[m],l[m]));r.push(v)}return r}))}},n.fit=function(){var e=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===r&&(r={}),!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,sz(f=null==r.batchSize?32:r.batchSize),!1,e.next=10,this.standardizeUserData(t,n,r.sampleWeight,r.classWeight,false,f);case 10:if(d=e.sent,a=d[0],i=d[1],h=d[2],m=!1,!(null!=r.validationData&&r.validationData.length>0)){e.next=36;break}if(m=!0,2!==r.validationData.length){e.next=22;break}u=r.validationData[0],l=r.validationData[1],e.next=27;break;case 22:if(3!==r.validationData.length){e.next=26;break}throw new zF("validationData including sample weights is not supported yet.");case 26:throw new LF("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+r.validationData+" is invalid.");case 27:return!0,e.next=30,this.standardizeUserData(u,l,null,null,true,f);case 30:g=e.sent,c=g[0],p=g[1],v=c.concat(p),e.next=37;break;case 36:null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(m=!0,y=Math.floor(a[0].shape[0]*(1-r.validationSplit)),b=a[0].shape[0],c=uz(a,y,b),o=a,a=uz(a,0,y),p=uz(i,y,b),s=i,i=uz(i,0,y),v=c.concat(p)):null!=r.validationSteps&&(m=!0);case 37:return x=a.concat(i).concat(h),this.checkTrainableWeightsConsistency(),w=this.makeTrainFunction(),k=this.getDedupedMetricsNames(),m?(this.makeTestFunction(),N=this.testFunction,I=k.slice().concat(k.map((function(e){return"val_"+e})))):(N=null,v=[],I=k.slice()),S=oL(r.callbacks,r.yieldEvery),e.next=45,this.fitLoop(w,x,k,f,r.epochs,r.verbose,S,N,v,r.shuffle,I,r.initialEpoch,null,null);case 45:return T=e.sent,e.abrupt("return",T);case 47:return e.prev=47,this.isTraining=!1,hz(a,t),hz(i,n),hz(o,t),hz(s,n),hz(c,u),hz(p,l),null!=h&&yI(h),e.finish(47);case 57:case"end":return e.stop()}}),e,this,[[4,,47,57]])})));return function(t,n,r){return e.apply(this,arguments)}}(),n.fitLoop=function(){var e=Iv(kv().mark((function e(t,n,r,a,i,o,s,u,l,c,p,h,f,d){var m,v,g,y,b,x,w,k,N=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==a&&(a=32),null==i&&(i=1),null==c&&(c=!0),null==h&&(h=0),m=!1,null!=u&&null!=l&&(m=!0),null==d){e.next=10;break}if(m=!0,null!=f){e.next=10;break}throw new LF("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");case 10:return null!=(v=this.checkNumSamples(n,a,f,"steps_per_epoch"))&&(g=ED(0,v)),null==o&&(o=1),y=uL(s,o,i,h,v,f,a,m,p),b=y.callbackList,x=y.history,b.setModel(this),this.history=x,e.next=18,b.onTrainBegin();case 18:this.stopTraining_=!1,w=kv().mark((function e(i){var o;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,b.onEpochBegin(i);case 2:if(o={},null==f){e.next=7;break}throw new zF("stepsPerEpoch mode is not implemented yet.");case 7:return e.delegateYield(kv().mark((function e(){var i,s,p,h;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("batch"!==c){e.next=4;break}throw new zF("batch shuffling is not implemneted yet");case 4:c&&Wv(g);case 5:i=hA(g),s=cz(v,a),p=kv().mark((function e(c){var p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return p={},e.next=3,b.onBatchBegin(c,p);case 3:return gI((function(){var e=s[c][0],h=s[c][1],f=OD(i,e,h-e);p.batch=c,p.size=h-e;for(var d=lz(n,f),v=t(d),g=0;g<r.length;++g){var y=r[g],b=v[g];p[y]=b,bI(b)}if(c===s.length-1&&m)for(var x=N.testLoop(u,l,a),w=0;w<r.length;++w){var k=r[w],I=x[w];bI(I),o["val_"+k]=I}})),e.next=6,b.onBatchEnd(c,p);case 6:if(eL(p),!N.stopTraining_){e.next=9;break}return e.abrupt("return","break");case 9:case"end":return e.stop()}}),e)})),h=0;case 9:if(!(h<s.length)){e.next=17;break}return e.delegateYield(p(h),"t0",11);case 11:if("break"!==e.t0){e.next=14;break}return e.abrupt("break",17);case 14:++h,e.next=9;break;case 17:i.dispose();case 18:case"end":return e.stop()}}),e)}))(),"t0",8);case 8:return e.next=10,b.onEpochEnd(i,o);case 10:if(!N.stopTraining_){e.next=12;break}return e.abrupt("return","break");case 12:case"end":return e.stop()}}),e)})),k=h;case 21:if(!(k<i)){e.next=29;break}return e.delegateYield(w(k),"t0",23);case 23:if("break"!==e.t0){e.next=26;break}return e.abrupt("break",29);case 26:++k,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,l,c,p,h,f,d){return e.apply(this,arguments)}}(),n.fitDataset=function(){var e=Iv(kv().mark((function e(t,n){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",ez(this,t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.trainOnBatch=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h;return kv().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=[],l=Lv(s);case 9:if((c=l()).done){e.next=17;break}return p=c.value,e.next=13,p.data();case 13:h=e.sent,u.push(h[0]);case 15:e.next=9;break;case 17:return yI(s),hz(r[0],t),hz(r[1],n),e.abrupt("return",GF(u));case 21:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.getNamedWeights=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},n.dispose=function(){var t=e.prototype.dispose.call(this);if(0===t.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=vI().numTensors;this.optimizer_.dispose(),t.numDisposedVariables+=n-vI().numTensors}return t},n.getLossIdentifiers=function(){var e;if("string"==typeof this.loss)e=HF(this.loss);else if(Array.isArray(this.loss)){for(var t,n=Lv(this.loss);!(t=n()).done;){if("string"!=typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}e=this.loss.map((function(e){return HF(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]=HF(a[s])}}return e},n.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[HF(FL(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return HF(FL(e))}));var e={};for(var t in this.metrics)e[t]=HF(FL(this.metrics[t]));return e},n.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},n.loadTrainingConfig=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=lL(UL(e.optimizer_config));if("string"==typeof e.loss)t=qF(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return qF(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=qF(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return qF(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=qF(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})},n.save=function(){var e=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c,p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=aN(t)).length){e.next=6;break}throw new LF("Cannot find any save handlers for URL '"+t+"'");case 6:if(!(r.length>1)){e.next=8;break}throw new LF("Found more than one ("+r.length+") save handlers for URL '"+t+"'");case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new LF("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.next=13,Wk(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 v4.1.0",convertedBy:null},!(null!=n&&n.includeOptimizer)||null==this.optimizer){e.next=34;break}return o.trainingConfig=this.getTrainingConfig(),u="optimizer",e.t0=pI,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:l=e.sent,c=l.data,p=l.specs,(s=a.specs).push.apply(s,p),a.data=Xk([a.data,c]);case 34:return null!=this.userDefinedMetadata&&(!0,ML(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)}}(),n.setUserDefinedMetadata=function(e){ML(e,this.name),this.userDefinedMetadata=e},n.getUserDefinedMetadata=function(){return this.userDefinedMetadata},Tv(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)}}]),t}(HL);gz.className="Model",cS(gz);var yz=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t}(gz);function bz(){return bz=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l,c;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("modelTopology"in t||(t={modelTopology:t}),null!=(r=t.modelTopology).model_config&&(r=r.model_config),a=UL(r),i=lL(a,n),null==t.weightsManifest){e.next=14;break}return e.next=9,QN(t.weightsManifest,t.pathPrefix,i.weights.map((function(e){return e.originalName})));case 9:for(o=e.sent,s={},u=Lv(i.weights);!(l=u()).done;)c=l.value,s[c.originalName]=o[c.originalName];i.loadWeights(s),yI(o);case 14:return e.abrupt("return",i);case 15:case"end":return e.stop()}}),e)}))),bz.apply(this,arguments)}function xz(){return(xz=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&(n={}),"string"!=typeof t){e.next=10;break}if(0!==(r=iN(t,n)).length){e.next=7;break}r.push(oI(t,n)),e.next=9;break;case 7:if(!(r.length>1)){e.next=9;break}throw new LF("Found more than one ("+r.length+") load handlers for URL '"+t+"'");case 9:t=r[0];case 10:return e.abrupt("return",wz(t,void 0,n));case 11:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function wz(e,t,n){return kz.apply(this,arguments)}function kz(){return kz=Iv(kv().mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==r&&(r={}),null!=t.load){e.next=3;break}throw new LF("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");case 3:return e.next=5,t.load();case 5:if(a=e.sent,null!=(i=a.modelTopology).model_config&&(i=i.model_config),o=null==r.strict||r.strict,s=null!=a.weightData&&null!=a.weightSpecs&&o,u=lL(UL(i),n,s),null!=(l=a.trainingConfig)&&u.loadTrainingConfig(l),null!=a.userDefinedMetadata&&u.setUserDefinedMetadata(a.userDefinedMetadata),null==a.weightData){e.next=24;break}if(null!=a.weightSpecs){e.next=17;break}throw new LF("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");case 17:if(c=Nz(a.weightData,a.weightSpecs),p=c.modelWeights,h=c.optimizerWeights,u.loadWeights(p,o),!(null!=u.optimizer&&h.length>0)){e.next=22;break}return e.next=22,u.optimizer.setWeights(h);case 22:yI(p),yI(h.map((function(e){return e.tensor})));case 24:return e.abrupt("return",u);case 25:case"end":return e.stop()}}),e)}))),kz.apply(this,arguments)}function Nz(e,t){var n=Uk(e,t),r={},a=[];return t.forEach((function(e){"optimizer"===e.group?a.push({name:e.name,tensor:n[e.name]}):r[e.name]=n[e.name]})),{modelWeights:r,optimizerWeights:a}}yz.className="Functional",cS(yz);var Iz=function(e){function t(t){var n;if(t=t||{},(n=e.call(this,{inputs:[],outputs:[]})||this).trainable=!0,n.built=!1,n.name=null!=t.name?t.name:uD("sequential_"),null!=t.layers)for(var r,a=Lv(t.layers);!(r=a()).done;){var i=r.value;n.add(i)}return n}Cv(t,e);var n=t.prototype;return n.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some((function(e){return e<0})))throw new LF("Negative dimension size caused by adding layer "+e.name+" with input shape ["+e.inboundNodes[0].inputTensors[0].shape+"]")},n.add=function(e){var n,r=e instanceof t||e instanceof gz;if(r){if(1!==(n=e).outputs.length)throw new LF("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==n.inputs.length)throw new LF("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 LF("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=_M({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new LF("A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer "+e.name+" which has "+e.inboundNodes.length+" pre-existing inbound connections.");if(1!==e.inboundNodes[0].outputTensors.length)throw new LF("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=AM(this.outputs[0])}this.inboundNodes=[],new TM({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:WF(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},n.pop=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]}},n.call=function(e,t){return null==this.model&&this.build(),this.model.call(e,t)},n.build=function(e){if(gM(e),0===this.inputs.length||0===this.outputs.length)throw new TypeError("Sequential model cannot be built: model is empty. 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$z=function(e){function t(t){var n;if((n=e.call(this,null==t?{}:t)||this).DEFAULT_ALPHA_INITIALIZER="zeros",null==t&&(t={}),n.supportsMasking=!0,n.alphaInitializer=fM(t.alphaInitializer||n.DEFAULT_ALPHA_INITIALIZER),n.alphaRegularizer=Jz(t.alphaRegularizer),n.alphaConstraint=XM(t.alphaConstraint),null==t.sharedAxes)n.sharedAxes=null;else if(Array.isArray(t.sharedAxes))n.sharedAxes=t.sharedAxes;else{if("number"!=typeof t.sharedAxes)throw new LF("Expected sharedAxes to be a number or an array of numbers, but got "+t.sharedAxes);n.sharedAxes=[t.sharedAxes]}return n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=gM(e)).slice(1);if(null!=this.sharedAxes)for(var n,r=Lv(this.sharedAxes);!(n=r()).done;){t[n.value-1]=1}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 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n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n}Cv(t,e);var n=t.prototype;return n.call=function(e,t){var n=vM(e);return kS(n,GN(dC(n,this.theta),"float32"))},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);tP.className="ThresholdedReLU",cS(tP);var nP=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new zz).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}Cv(t,e);var n=t.prototype;return n.call=function(e,t){var n=vM(e);return this.softmax(n,this.axis)},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);function rP(e,t,n){if("number"==typeof e)return WF(e,t);if(e.length!==t)throw new LF("The "+n+" argument must be an integer 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u=GA({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=TI(u,[0,3,1,2])),u}))}function cP(e,t,n,r,a,i,o){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),gI((function(){if(null==i&&(i="channelsLast"),mD(i),4!==e.rank&&5!==e.rank)throw new LF("conv3dWithBias expects input to be of rank 4 or 5, but received "+e.rank+".");if(4!==t.rank&&5!==t.rank)throw new LF("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+e.rank+".");var s=sP(e,i);if("causal"===a)throw new zF("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=NT(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=GD(s,n)),"channelsFirst"===i&&(s=TI(s,[0,4,1,2,3])),s}))}nP.className="Softmax",cS(nP);var pP=function(e){function t(n,r){var a;if((a=e.call(this,r)||this).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",t.verifyArgs(r),a.rank=n,nD(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new zF("Convolution layer for rank other than 1, 2, or 3 ("+a.rank+") is not implemented yet.");if(a.kernelSize=rP(r.kernelSize,n,"kernelSize"),a.strides=rP(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,vD(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,mD(a.dataFormat),a.activation=Gz(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=fM(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=XM(r.biasConstraint),a.biasRegularizer=Jz(r.biasRegularizer),a.activityRegularizer=Jz(r.activityRegularizer),a.dilationRate=rP(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new LF("dilationRate must be a number or an array of a single number for 1D convolution, but received "+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 LF("dilationRate must be a number or array of two numbers for 2D convolution, but received "+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 LF("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(a.dilationRate));return a}return Cv(t,e),t.verifyArgs=function(e){if(VF("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!tD(e.kernelSize,"number",1,3))throw new LF("BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received "+JSON.stringify(e.kernelSize)+".")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Vz(this.activation),useBias:this.useBias,biasInitializer:hM(this.biasInitializer),biasRegularizer:Xz(this.biasRegularizer),activityRegularizer:Xz(this.activityRegularizer),biasConstraint:qM(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM),hP=function(e){function t(n,r){var a;return(a=e.call(this,n,r)||this).kernel=null,t.verifyArgs(r),a.filters=r.filters,nD(a.filters,"filters"),a.kernelInitializer=fM(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=XM(r.kernelConstraint),a.kernelRegularizer=Jz(r.kernelRegularizer),a}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;e=gM(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new LF("The channel dimension of the input should be defined. Found "+e[n]);var r=e[n],a=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",a,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:(t={},t[n]=r,t)}],this.built=!0},n.call=function(e,t){var n=this;return gI((function(){var t;e=vM(e);var r=null==n.bias?null:n.bias.read(),a=aD(n.activation.getClassName());if(null!=a&&2===n.rank)t=lP(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=uP(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=lP(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new zF("convolutions greater than 3D are not implemented yet.");t=cP(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))},n.computeOutputShape=function(e){e=gM(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=aP(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},n.getConfig=function(){var t={filters:this.filters,kernelInitializer:hM(this.kernelInitializer),kernelRegularizer:Xz(this.kernelRegularizer),kernelConstraint:qM(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyArgs=function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new LF("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(pP),fP=function(e){function t(n){var r;return r=e.call(this,2,n)||this,t.verifyArgs(n),r}return Cv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!tD(e.kernelSize,"number",1,2))throw new LF("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t}(hP);fP.className="Conv2D",cS(fP);var dP=function(e){function t(n){var r;return r=e.call(this,3,n)||this,t.verifyArgs(n),r}return Cv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new LF("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(e.kernelSize)+".")},t}(hP);dP.className="Conv3D",cS(dP);var mP=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new NM({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new LF("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;if(4!==(e=gM(e)).length)throw new LF("Input should have rank 4; Received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new LF("The channel dimension of the inputs should be defined. Found `None`.");var r=e[n],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"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 NM({ndim:4,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return gI((function(){var t=vM(e);if(4!==t.shape.length)throw new LF("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+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],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[o,iP(s,p,l,n.padding),iP(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=TI(t,[0,2,3,1]));var d=kT(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=TI(d,[0,3,1,2])),null!=n.bias&&(d=GD(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))},n.computeOutputShape=function(e){var t,n,r,a=(e=gM(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]=iP(a[n],s,i,this.padding),a[r]=iP(a[r],u,o,this.padding),a},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(fP);mP.className="Conv2DTranspose",cS(mP);var vP=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new NM({ndim:5})],"same"!==n.padding&&"valid"!==n.padding)throw new LF("Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;if(5!==(e=gM(e)).length)throw new LF("Input should have rank 5; Received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new LF("The channel dimension of the inputs should be defined. Found `None`.");var r=e[n],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"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 NM({ndim:5,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return gI((function(){var t=vM(e);if(5!==t.shape.length)throw new LF("Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+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],l=o[r],c=o[a],p=n.kernelSize[0],h=n.kernelSize[1],f=n.kernelSize[2],d=n.strides[0],m=n.strides[1],v=n.strides[2],g=[s,iP(u,d,p,n.padding),iP(l,m,h,n.padding),iP(c,v,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=TI(t,[0,2,3,4,1]));var y=ST(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=TI(y,[0,4,1,2,3])),null!==n.bias&&(y=GD(y,n.bias.read(),n.dataFormat)),null!==n.activation&&(y=n.activation.apply(y)),y}))},n.computeOutputShape=function(e){var t,n,r,a,i=(e=gM(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],l=this.strides[0],c=this.strides[1],p=this.strides[2];return i[t]=this.filters,i[n]=iP(i[n],l,o,this.padding),i[r]=iP(i[r],c,s,this.padding),i[a]=iP(i[a],p,u,this.padding),i},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(dP);vP.className="Conv3DTranspose",cS(vP);var gP=function(e){function t(t,n){var r;if((r=e.call(this,t,n)||this).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new LF("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new LF("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new LF("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=fM(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=Jz(n.depthwiseRegularizer),r.depthwiseConstraint=XM(n.depthwiseConstraint),r.pointwiseInitializer=fM(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=Jz(n.pointwiseRegularizer),r.pointwiseConstraint=XM(n.pointwiseConstraint),r}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;if((e=gM(e)).length<this.rank+2)throw new LF("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new LF("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters);var s=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,s,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,s,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,s,this.biasConstraint):this.bias=null,this.inputSpec=[new NM({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return gI((function(){var t;if(e=vM(e),1===n.rank)throw new zF("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=TI(e,[0,2,3,1])),t=jE(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=GD(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=TI(t,[0,3,1,2])),t}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=hM(this.depthwiseInitializer),t.pointwiseInitializer=hM(this.pointwiseInitializer),t.depthwiseRegularizer=Xz(this.depthwiseRegularizer),t.pointwiseRegularizer=Xz(this.pointwiseRegularizer),t.depthwiseConstraint=qM(this.depthwiseConstraint),t.pointwiseConstraint=qM(this.pointwiseConstraint),t},t}(hP);gP.className="SeparableConv";var yP=function(e){function t(t){return e.call(this,2,t)||this}return Cv(t,e),t}(gP);yP.className="SeparableConv2D",cS(yP);var bP=function(e){function t(n){var r;return r=e.call(this,1,n)||this,t.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return Cv(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!tD(e.kernelSize,"number",1,1))throw new LF("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t}(hP);bP.className="Conv1D",cS(bP);var xP=function(e){function t(t){var n;return n=e.call(this,t)||this,"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=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]]},n.call=function(e,t){var n=this;return gI((function(){if(e=vM(e),"channelsLast"===n.dataFormat){var t=DD(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return DD(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=DD(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return DD(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))},n.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);xP.className="Cropping2D",cS(xP);var wP=function(e){function t(t){var n,r;return(n=e.call(this,t)||this).DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,mD(n.dataFormat),n.interpolation=null==t.interpolation?"nearest":t.interpolation,r=n.interpolation,eD(cD,"InterpolationFormat",r),n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=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]]},n.call=function(e,t){var n=this;return gI((function(){var t=vM(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=TI(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?YR.resizeNearestNeighbor(t,[a,i]):YR.resizeBilinear(t,[a,i]);return TI(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?YR.resizeNearestNeighbor(t,[s,u]):YR.resizeBilinear(t,[s,u])}))},n.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);wP.className="UpSampling2D",cS(wP);var kP=function(e){function t(t){var n;return(n=e.call(this,2,t)||this).depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=fM(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=XM(t.depthwiseConstraint),n.depthwiseRegularizer=Jz(t.depthwiseRegularizer),n}Cv(t,e);var n=t.prototype;return n.build=function(e){if((e=gM(e)).length<4)throw new LF("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new LF("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+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},n.call=function(e,t){var n=this;return gI((function(){e=vM(e);var t,r,a,i,o,s,u=(t=e,r=n.depthwiseKernel.read(),a=n.strides,i=n.padding,o=n.dataFormat,s=null,void 0===a&&(a=[1,1]),void 0===i&&(i="valid"),gI((function(){null==o&&(o="channelsLast"),mD(o);var e=oP(t,o);if(4!==t.rank)throw new LF("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==r.rank)throw new LF("depthwiseKernel is required to be 4-D, but is instead "+r.rank+"-D");return e=OT(e,r,a,"same"===i?"same":"valid","NHWC",s),"channelsFirst"===o&&(e=TI(e,[0,3,1,2])),e})));return n.useBias&&(u=GD(u,n.bias.read(),n.dataFormat)),null!=n.activation&&(u=n.activation.apply(u)),u}))},n.computeOutputShape=function(e){e=gM(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=aP(t,this.kernelSize[0],this.padding,this.strides[0]),i=aP(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=hM(this.depthwiseInitializer),t.depthwiseRegularizer=Xz(this.depthwiseRegularizer),t.depthwiseConstraint=qM(this.depthwiseRegularizer),t},t}(pP);function NP(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new LF("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 IP(e,t,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),gI((function(){var u=t.shape.length;if(u<3)throw new LF("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(ED(2,u));if(t=TI(t,l),null!=i)throw new zF("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=GN(GN(a,"bool"),"float32")).rank===u-1&&(a=uC(a,-1)),a=TI(a,l)),r&&(t=LE(t,0),null!=a&&(a=LE(a,0)));var c,p,h=[],f=n,d=t.shape[0],m=wA(t);null!=a&&(p=wA(a));for(var v,g=function(t){var n=m[t],r=gI((function(){return e(n,f)}));if(null==a)c=r[0],f=r[1];else{var i=gI((function(){var e=p[t],n=_C(nE(e),e);return{output:bS(kS(r[0],e),kS(f[0],n)),newStates:f.map((function(t,a){return bS(kS(r[1][a],e),kS(t,n))}))}}));c=i.output,f=i.newStates}s&&h.push(c)},y=0;y<d;++y)g(y);if(s){v=uA(h,1)}return[c,v,f]}))}kP.className="DepthwiseConv2D",cS(kP);var SP=function(e){function t(t){var n,r;if(n=e.call(this,t)||this,null==t.cell)throw new LF("cell property is missing for the constructor of RNN.");if(null==(r=Array.isArray(t.cell)?new FP({cells:t.cell}):t.cell).stateSize)throw new LF("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return n.cell=r,n.returnSequences=null!=t.returnSequences&&t.returnSequences,n.returnState=null!=t.returnState&&t.returnState,n.goBackwards=null!=t.goBackwards&&t.goBackwards,n._stateful=null!=t.stateful&&t.stateful,n.unroll=null!=t.unroll&&t.unroll,n.supportsMasking=!0,n.inputSpec=[new NM({ndim:3})],n.stateSpec=null,n.states_=null,n.numConstants=null,n.keptStates=[],n}Cv(t,e);var n=t.prototype;return n.getStates=function(){return null==this.states_?ED(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_},n.setStates=function(e){this.states_=e},n.computeOutputShape=function(e){dM(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){for(var a,i=[],o=Lv(t);!(a=o()).done;){var s=a.value;i.push([e[0],s])}return[n].concat(i)}return n},n.computeMask=function(e,t){var n=this;return gI((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}))},n.build=function(e){if(null!=this.numConstants)throw new zF("Constants support is not implemented in RNN yet.");dM(e)&&(e=e[0]);var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new NM({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(!Jv(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new LF("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=r.map((function(e){return new NM({shape:[null,e]})}));this.stateful&&this.resetStates()},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),gI((function(){if(!n.stateful)throw new DF("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new LF("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==n.states_)Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return qC([r,e])})):n.states_=[qC([r,n.cell.stateSize])];else if(null==e)yI(n.states_),null!=n.keptStates&&(yI(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return qC([r,e])})):n.states_[0]=qC([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new LF("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);!0===t?n.keptStates.push(n.states_.slice()):yI(n.states_);for(var a=0;a<n.states_.length;++a){var i=e[a],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[a]:n.cell.stateSize,s=[r,o];if(!Jv(i.shape,s))throw new LF("State "+a+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+i.shape);n.states_[a]=i}}n.states_=n.states_.map((function(e){return bI(e.clone())}))}))},n.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=NP(t,r,a,this.numConstants);t=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u,l=Lv(r);!(u=l()).done;){var c=u.value;this.stateSpec.push(new NM({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof IM){var p=[t].concat(o),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=e.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return gI((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=vM(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 LF("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=IP((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),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,a);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h}))},n.getInitialState=function(e){var t=this;return gI((function(){var n=qC(e.shape);return n=_D(n=rC(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?zD(n,[1,e]):n})):t.cell.stateSize>1?[zD(n,[1,t.cell.stateSize])]:[n]}))},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(t)},n.getConfig=function(){var n=e.prototype.getConfig.call(this),r={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(r.numConstants=this.numConstants);var a=this.cell.getConfig();return this.getClassName()===t.className&&(r.cell={className:this.cell.getClassName(),config:a}),Object.assign(Object.assign(Object.assign({},a),n),r)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=lL(t.cell,n);return new e(Object.assign(t,{cell:r}))},Tv(t,[{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:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}}]),t}(EM);SP.className="RNN",cS(SP);var TP=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t}(EM),CP=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,nD(n.units,"units"),n.activation=Gz(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=fM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=fM(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=fM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Jz(t.kernelRegularizer),n.recurrentRegularizer=Jz(t.recurrentRegularizer),n.biasRegularizer=Jz(t.biasRegularizer),n.kernelConstraint=XM(t.kernelConstraint),n.recurrentConstraint=XM(t.recurrentConstraint),n.biasConstraint=XM(t.biasConstraint),n.dropout=TD([1,CD([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=TD([1,CD([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Cv(t,e);var n=t.prototype;return n.build=function(e){e=gM(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},n.call=function(e,t){var n=this;return gI((function(){if(2!==e.length)throw new LF("SimpleRNNCell expects 2 input Tensors, got "+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=DP({ones:function(){return nE(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=DP({ones:function(){return nE(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=BD(null!=o?kS(e,o):e,n.kernel.read()),null!=n.bias&&(a=GD(a,n.bias.read())),null!=s&&(r=kS(r,s));var u=bS(a,BD(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:Vz(this.activation),useBias:this.useBias,kernelInitializer:hM(this.kernelInitializer),recurrentInitializer:hM(this.recurrentInitializer),biasInitializer:hM(this.biasInitializer),kernelRegularizer:Xz(this.kernelRegularizer),recurrentRegularizer:Xz(this.recurrentRegularizer),biasRegularizer:Xz(this.biasRegularizer),activityRegularizer:Xz(this.activityRegularizer),kernelConstraint:qM(this.kernelConstraint),recurrentConstraint:qM(this.recurrentConstraint),biasConstraint:qM(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},t),n)},t}(TP);CP.className="SimpleRNNCell",cS(CP);var EP=function(e){function t(t){return t.cell=new CP(t),e.call(this,t)||this}return Cv(t,e),t.prototype.call=function(t,n){var r=this;return gI((function(){null!=r.cell.dropoutMask&&(yI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(yI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return new e(t)},t}(SP);EP.className="SimpleRNN",cS(EP);var AP=function(e){function t(t){var n;if((n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",t.resetAfter)throw new LF("GRUCell does not support reset_after parameter set to true.");return n.units=t.units,nD(n.units,"units"),n.activation=Gz(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Gz(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=fM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=fM(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=fM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Jz(t.kernelRegularizer),n.recurrentRegularizer=Jz(t.recurrentRegularizer),n.biasRegularizer=Jz(t.biasRegularizer),n.kernelConstraint=XM(t.kernelConstraint),n.recurrentConstraint=XM(t.recurrentConstraint),n.biasConstraint=XM(t.biasConstraint),n.dropout=TD([1,CD([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=TD([1,CD([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=gM(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},n.call=function(e,t){var n=this;return gI((function(){if(2!==e.length)throw new LF("GRUCell expects 2 input Tensors (inputs, h, c), got "+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=DP({ones:function(){return nE(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=DP({ones:function(){return nE(a)},rate:n.recurrentDropout,training:r,count:3,dropoutFunc:n.dropoutFunc}));var i,o,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=kS(e,u[0]));var c=BD(e,n.kernel.read());n.useBias&&(c=GD(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=kS(a,l[0]));var p=n.recurrentKernel.read(),h=aA(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=BD(a,f),v=aA(c,3,c.rank-1),g=v[0],y=v[1],b=v[2],x=aA(m,2,m.rank-1),w=x[0],k=x[1];i=n.recurrentActivation.apply(bS(g,w)),o=n.recurrentActivation.apply(bS(y,k));var N=BD(kS(o,a),d);s=n.activation.apply(bS(b,N));var I=bS(kS(i,a),kS(bS(1,II(i)),s));return[I,I]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:Vz(this.activation),recurrentActivation:Vz(this.recurrentActivation),useBias:this.useBias,kernelInitializer:hM(this.kernelInitializer),recurrentInitializer:hM(this.recurrentInitializer),biasInitializer:hM(this.biasInitializer),kernelRegularizer:Xz(this.kernelRegularizer),recurrentRegularizer:Xz(this.recurrentRegularizer),biasRegularizer:Xz(this.biasRegularizer),activityRegularizer:Xz(this.activityRegularizer),kernelConstraint:qM(this.kernelConstraint),recurrentConstraint:qM(this.recurrentConstraint),biasConstraint:qM(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign(Object.assign({},t),n)},t}(TP);AP.className="GRUCell",cS(AP);var RP=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new AP(t),e.call(this,t)||this}return Cv(t,e),t.prototype.call=function(t,n){var r=this;return gI((function(){null!=r.cell.dropoutMask&&(yI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(yI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t}(SP);RP.className="GRU",cS(RP);var _P=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,nD(n.units,"units"),n.activation=Gz(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Gz(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=fM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=fM(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=fM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=Jz(t.kernelRegularizer),n.recurrentRegularizer=Jz(t.recurrentRegularizer),n.biasRegularizer=Jz(t.biasRegularizer),n.kernelConstraint=XM(t.kernelConstraint),n.recurrentConstraint=XM(t.recurrentConstraint),n.biasConstraint=XM(t.biasConstraint),n.dropout=TD([1,CD([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=TD([1,CD([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.dropoutFunc=t.dropoutFunc,n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t,n,r=(e=gM(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){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.apply=function(e,t){var n=a.apply([i]),r=(new JD).apply([i]),o=a.apply([2*i]);return LD(LD(n,r),o)},t}(XD),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},n.call=function(e,t){var n=this;return gI((function(){var r=null!=t.training&&t.training;if(3!==e.length)throw new LF("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=DP({ones:function(){return nE(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=DP({ones:function(){return nE(a)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var o,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=kS(e,c[0]));var h=BD(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=kS(a,p[0])),h=bS(h,BD(a,n.recurrentKernel.read())),n.useBias&&(h=GD(h,n.bias.read()));var f=aA(h,4,h.rank-1),d=f[0],m=f[1],v=f[2],g=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=bS(kS(s,i),kS(o,n.activation.apply(v))),l=n.recurrentActivation.apply(g);var y=kS(l,n.activation.apply(u));return[y,y,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:Vz(this.activation),recurrentActivation:Vz(this.recurrentActivation),useBias:this.useBias,kernelInitializer:hM(this.kernelInitializer),recurrentInitializer:hM(this.recurrentInitializer),biasInitializer:hM(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Xz(this.kernelRegularizer),recurrentRegularizer:Xz(this.recurrentRegularizer),biasRegularizer:Xz(this.biasRegularizer),activityRegularizer:Xz(this.activityRegularizer),kernelConstraint:qM(this.kernelConstraint),recurrentConstraint:qM(this.recurrentConstraint),biasConstraint:qM(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign(Object.assign({},t),n)},t}(TP);_P.className="LSTMCell",cS(_P);var OP=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new _P(t),e.call(this,t)||this}return Cv(t,e),t.prototype.call=function(t,n){var r=this;return gI((function(){null!=r.cell.dropoutMask&&(yI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(yI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t}(SP);OP.className="LSTM",cS(OP);var FP=function(e){function t(t){var n;return(n=e.call(this,t)||this).cells=t.cells,n}Cv(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return gI((function(){for(var r,a=e.slice(1),i=[],o=Lv(n.cells.slice().reverse());!(r=o()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}i.reverse();for(var u,l=[],c=0;c<n.cells.length;++c){var p=n.cells[c];a=i[c],u=0===c?[e[0]].concat(a):[u[0]].concat(a),u=p.call(u,t),l.push(u.slice(1))}a=[];for(var h,f=Lv(l.slice().reverse());!(h=f()).done;){var d,m=h.value;(d=a).push.apply(d,m)}return[u[0]].concat(a)}))},n.build=function(e){var t;dM(e)&&(e=e[0]),this.cells.forEach((function(n,r){bD("RNNCell_"+r,(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign(Object.assign({},t),n)},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r,a=[],i=Lv(t.cells);!(r=i()).done;){var o=r.value;a.push(lL(o,n))}return new e({cells:a})},n.getWeights=function(){for(var e,t=[],n=Lv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.weights)}return wM(t)},n.setWeights=function(e){for(var t,n=[],r=Lv(this.cells);!(t=r()).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]]);kM(n)},Tv(t,[{key:"stateSize",get:function(){for(var e,t=[],n=Lv(this.cells.slice().reverse());!(e=n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,r.stateSize):t.push(r.stateSize)}return t}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];for(var e,t=[],n=Lv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.trainableWeights)}return t}},{key:"nonTrainableWeights",get:function(){for(var e,t=[],n=Lv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=Lv(this.cells);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}}]),t}(TP);function DP(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):jD(t(),n)},l=function(){return HD(u,t,a)};return!o||o<=1?bI(l().clone()):Array(o).fill(void 0).map(l).map((function(e){return bI(e.clone())}))}FP.className="StackedRNNCells",cS(FP);var MP=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},LP=function(e){function t(t){var n;if(t.unroll)throw new zF("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(t.cell))throw new zF("It is not possible at the moment to stack convolutional cells.");return(n=e.call(this,t)||this).inputSpec=[new NM({ndim:5})],n}Cv(t,e);var n=t.prototype;return n.call=function(t,n){var r=this;return gI((function(){if(null!=r.cell.dropoutMask&&(yI(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(yI(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),n&&n.constants)throw new LF("ConvRNN2D cell does not support constants");var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},n.computeOutputShape=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},n.getInitialState=function(e){var t=this;return gI((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=qC([a[0]].concat(a.slice(2)));return Array.isArray(n)?Array(n.length).fill(i):[i]}))},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),gI((function(){if(!n.stateful)throw new DF("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape,a=n.computeSingleOutputShape(r),i=[a[0]].concat(a.slice(2));if(null==r[0])throw new LF("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==n.getStates())Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return qC(i)})):n.states_=[qC(i)];else if(null==e)yI(n.states_),null!=n.keptStates&&(yI(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return qC(i)})):n.states_[0]=qC(i);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new LF("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);t?n.keptStates.push(n.states_.slice()):yI(n.states_);for(var o=0;o<n.states_.length;++o){var s=e[o],u=i;if(!Jv(s.shape,u))throw new LF("State "+o+" is incompatible with layer "+n.name+": expected shape="+u+", received shape="+s.shape);n.states_[o]=s}}n.states_=n.states_.map((function(e){return bI(e.clone())}))}))},n.computeSingleOutputShape=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,l=e[u?3:2],c=e[u?4:3],p=aP(l,a[0],i,o[0],s[0]),h=aP(c,a[1],i,o[1],s[1]);return[].concat(e.slice(0,2),u?[r,p,h]:[p,h,r])},t}(SP);LP.className="ConvRNN2D";var zP=function(e){function t(t){var n,r=t.filters,a=t.kernelSize,i=t.strides,o=t.padding,s=t.dataFormat,u=t.dilationRate;return(n=e.call(this,Object.assign(Object.assign({},t),{units:r}))||this).filters=r,nD(n.filters,"filters"),n.kernelSize=rP(a,2,"kernelSize"),n.kernelSize.forEach((function(e){return nD(e,"kernelSize")})),n.strides=rP(i||1,2,"strides"),n.strides.forEach((function(e){return nD(e,"strides")})),n.padding=o||"valid",vD(n.padding),n.dataFormat=s||"channelsLast",mD(n.dataFormat),n.dilationRate=rP(u||1,2,"dilationRate"),n.dilationRate.forEach((function(e){return nD(e,"dilationRate")})),n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;e=gM(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new LF("The channel dimension of the input should be defined. Found "+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){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.apply=function(e,t){return MD([s.apply([u]),KC([u]),s.apply([2*u])])},t}(XD),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},n.call=function(e,t){var n=this;return gI((function(){if(3!==e.length)throw new LF("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+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=DP({ones:function(){return nE(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?kS(t[n],e):e},l=u(a,s,0),c=u(a,s,1),p=u(a,s,2),h=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=DP({ones:function(){return nE(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var f=n.recurrentDropoutMask,d=u(i,f,0),m=u(i,f,1),v=u(i,f,2),g=u(i,f,3),y=aA(n.kernel.read(),4,3),b=y[0],x=y[1],w=y[2],k=y[3],N=n.useBias?aA(n.bias.read(),4):[null,null,null,null],I=N[0],S=N[1],T=N[2],C=N[3];l=n.inputConv(l,b,I,n.padding),c=n.inputConv(c,x,S,n.padding),p=n.inputConv(p,w,T,n.padding),h=n.inputConv(h,k,C,n.padding);var E=aA(n.recurrentKernel.read(),4,3),A=E[0],R=E[1],_=E[2],O=E[3];d=n.recurrentConv(d,A),m=n.recurrentConv(m,R),v=n.recurrentConv(v,_),g=n.recurrentConv(g,O);var F=n.recurrentActivation.apply(bS(l,d)),D=n.recurrentActivation.apply(bS(c,m)),M=bS(kS(D,o),kS(F,n.activation.apply(bS(p,v)))),L=kS(n.recurrentActivation.apply(bS(h,g)),n.activation.apply(M));return[L,L,M]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n=(t.units,MP(t,["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({},n),r)},n.inputConv=function(e,t,n,r){var a=bT(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?GD(a,n,this.dataFormat):a},n.recurrentConv=function(e,t){return bT(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")},t}(_P);zP.className="ConvLSTM2DCell",cS(zP);var PP=function(e){function t(t){var n=new zP(t);return e.call(this,Object.assign(Object.assign({},t),{cell:n}))||this}return Cv(t,e),t.fromConfig=function(e,t){return new e(t)},t}(LP);PP.className="ConvLSTM2D",cS(PP);var BP=function(e){function t(t){var n;return(n=e.call(this,t)||this).rate=Math.max(Math.min(t.rate,1),0),n.noiseShape=t.noiseShape,n.seed=t.seed,n.supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return n.getNoiseShape=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},n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t);var r=vM(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return HD((function(){return jD(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))},n.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.dispose=function(){return e.prototype.dispose.call(this)},t}(EM);BP.className="Dropout",cS(BP);var WP=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[{ndim:3}],n}return Cv(t,e),t.prototype.getNoiseShape=function(e){var t=e.shape;return[t[0],1,t[2]]},t}(BP);WP.className="SpatialDropout1D",cS(WP);var VP=function(e){function t(t){var n;if((n=e.call(this,t)||this).activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,nD(n.units,"units"),n.activation=Gz(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=fM(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=fM(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=XM(t.kernelConstraint),n.biasConstraint=XM(t.biasConstraint),n.kernelRegularizer=Jz(t.kernelRegularizer),n.biasRegularizer=Jz(t.biasRegularizer),n.activityRegularizer=Jz(t.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t,n=(e=gM(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,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:(t={},t[-1]=n,t)}],this.built=!0},n.computeOutputShape=function(e){var t=(e=gM(e)).slice();return t[t.length-1]=this.units,t},n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t);var r,a=vM(e),i=aD(n.activation.getClassName());return null!=i?r=BD(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=BD(a,n.kernel.read()),null!=n.bias&&(r=GD(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},n.getConfig=function(){var t={units:this.units,activation:Vz(this.activation),useBias:this.useBias,kernelInitializer:hM(this.kernelInitializer),biasInitializer:hM(this.biasInitializer),kernelRegularizer:Xz(this.kernelRegularizer),biasRegularizer:Xz(this.biasRegularizer),activityRegularizer:Xz(this.activityRegularizer),kernelConstraint:qM(this.kernelConstraint),biasConstraint:qM(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);VP.className="Dense",cS(VP);var UP=function(e){function t(t){var n;return t=t||{},(n=e.call(this,t)||this).inputSpec=[{minNDim:3}],n.dataFormat=t.dataFormat,n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){for(var t,n=Lv((e=gM(e)).slice(1));!(t=n()).done;){if(null==t.value)throw new LF('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.')}return[e[0],SD(e,1)]},n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t);var r=vM(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=TI(r,a)}return function(e){if(e.rank<=1)throw new LF("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],SD(e.shape,1)];return JS(e,t)}(r)}))},n.getConfig=function(){var t={};null!=this.dataFormat&&(t.dataFormat=this.dataFormat);var n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);UP.className="Flatten",cS(UP);var GP=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.activation=Gz(t.activation),n}Cv(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t);var r=vM(e);return n.activation.apply(r)}))},n.getConfig=function(){var t={activation:Vz(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);GP.className="Activation",cS(GP);var jP=function(e){function t(t){var n;return(n=e.call(this,t)||this).n=t.n,n.inputSpec=[{ndim:2}],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],this.n,e[1]]},n.call=function(e,t){var n=this;return gI((function(){return e=vM(e),t=e,r=n.n,gI((function(){if(2!==t.shape.length)throw new LF("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return zD(_D(t,1),[1,r,1])}));var t,r}))},n.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);jP.className="RepeatVector",cS(jP);var HP=function(e){function t(t){var n;(n=e.call(this,t)||this).targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}Cv(t,e);var n=t.prototype;return n.isUnknown=function(e){return e<0||null==e},n.fixUnknownDimension=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 LF("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=SD(e);if(null!==i){if(0===a||u%a!=0)throw new LF(n);r[i]=u/a}else if(u!==a)throw new LF(n);return r},n.computeOutputShape=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))},n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t);var r=vM(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return JS(r,i)}))},n.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);HP.className="Reshape",cS(HP);var qP=function(e){function t(t){var n;if(n=e.call(this,t)||this,null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var r=ED(1,t.dims.length+1);if(!Jv(t.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new NM({ndim:n.dims.length+1})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=(e=gM(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t},n.call=function(e,t){return TI(vM(e),this.dimsIncludingBatch)},n.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);qP.className="Permute",cS(qP);var KP=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).supportsMasking=!0,n.maskValue=null!=t?null==t.maskValue?0:t.maskValue:0,n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={maskValue:this.maskValue};return Object.assign(n,t),n},n.computeMask=function(e,t){var n=vM(e);return ES(tE(n,this.maskValue),-1)},n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t);var r=vM(e),a=ES(tE(r,n.maskValue),-1,!0);return kS(r,GN(a,r.dtype))}))},t}(EM);KP.className="Masking",cS(KP);var XP=function(e){function t(t){var n;if((n=e.call(this,t)||this).embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(jF(t.inputLength))}return n.inputDim=t.inputDim,nD(n.inputDim,"inputDim"),n.outputDim=t.outputDim,nD(n.outputDim,"outputDim"),n.embeddingsInitializer=fM(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=Jz(t.embeddingsRegularizer),n.activityRegularizer=Jz(t.activityRegularizer),n.embeddingsConstraint=XM(t.embeddingsConstraint),n.maskZero=t.maskZero,n.supportsMasking=t.maskZero,n.inputLength=t.inputLength,n}Cv(t,e);var n=t.prototype;return n.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},n.warnOnIncompatibleInputShape=function(e){},n.computeMask=function(e,t){var n=this;return gI((function(){return n.maskZero?(e=vM(e),tE(e,zT(e))):null}))},n.computeOutputShape=function(e){if(e=gM(e),null==this.inputLength)return[].concat(e,[this.outputDim]);var t=jF(this.inputLength);if(t.length!==e.length-1)throw new LF('"inputLength" is '+this.inputLength+", but received input shape has shape "+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 LF('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=i),n++}return[e[0]].concat(t,[this.outputDim])},n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t);var r=vM(e);"int32"!==r.dtype&&(r=RD(r,"int32"));var a=WD(n.embeddings.read(),JS(r,[r.size]));return JS(a,gM(n.computeOutputShape(r.shape)))}))},n.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:hM(this.embeddingsInitializer),embeddingsRegularizer:Xz(this.embeddingsRegularizer),activityRegularizer:Xz(this.activityRegularizer),embeddingsConstraint:qM(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);XP.className="Embedding",cS(XP);var YP=function(e){function t(t){var n;return(n=e.call(this,t||{})||this).supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return n.mergeFunction=function(e){throw new zF},n.computeElementwiseOpOutputShape=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 LF("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},n.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[gM(e)]),e.length<2)throw new LF("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t,n=[],r=Lv(e);!(t=r()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}if((n=QF(n)).length>1)throw new LF("Can not merge tensors with different batch sizes. Got tensors with shapes: "+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===QF(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0},n.call=function(e,t){var n=this;return gI((function(){if(n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){for(var a,i=CD(r),o=Lv(e);!(a=o()).done;){for(var s=a.value,u=s.rank,l=0;l<i-u;++l)s=_D(s,1);t.push(s)}return n.mergeFunction(t)}for(var c,p=!1,h=Lv(e);!(c=h()).done;){var f=c.value,d=f.rank;if(null==d){var m=f.shape,v=m[0],g=m.slice(1).concat([v]),y=JS(f,[v].concat(SD(m.slice(1))));y=TI(y,[1,0]),y=JS(y,g),t.push(y),p=!0}else if(d>1){var b=ED(1,d).concat([0]);t.push(TI(f,b)),p=!0}else t.push(f)}var x=n.mergeFunction(t),w=x.rank;if(p)if(null==w){var k=x.shape,N=k[k.length-1],I=[N].concat(k.slice(0,k.length-1));x=JS(TI(JS(x,[-1,N]),[1,0]),I)}else if(w>1){var S=[w-1].concat(ED(0,w-1));x=TI(x,S)}return x}return n.mergeFunction(e)}))},n.computeOutputShape=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)}for(var a,i=[],o=Lv(e);!(a=o()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}return t=1===(i=QF(i)).length?i.concat(t):[null].concat(t)},n.computeMask=function(e,t){return gI((function(){if(null==t)return null;if(!Array.isArray(t))throw new LF("`mask` should be an Array");if(!Array.isArray(e))throw new LF("`inputs` should be an Array");if(t.length!==e.length)throw new LF("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+e.length+" vs "+t.length+")");if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:uC(e,0)})))[0],r=1;r<t.length-1;++r)n=DC(n,t[r]);return n}))},t}(EM),JP=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return gI((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=bS(t,e[n]);return t}))},t}(YP);JP.className="Add",cS(JP);var ZP=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return gI((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=kS(t,e[n]);return t}))},t}(YP);ZP.className="Multiply",cS(ZP);var QP=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return gI((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=bS(t,e[n]);return kS(1/e.length,t)}))},t}(YP);QP.className="Average",cS(QP);var $P=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return gI((function(){for(var t=e[0],n=1;n<e.length;++n)t=jC(t,e[n]);return t}))},t}(YP);$P.className="Maximum",cS($P);var eB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.mergeFunction=function(e){return gI((function(){for(var t=e[0],n=1;n<e.length;++n)t=YC(t,e[n]);return t}))},t}(YP);eB.className="Minimum",cS(eB);var tB=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}Cv(t,e);var n=t.prototype;return n.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new LF("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t,n=!0,r=Lv(e);!(t=r()).done;){if(null!=t.value){n=!1;break}}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);for(var s,u=!1,l=Lv(a);!(s=l()).done;){if(Jv(s.value,o)){u=!0;break}}u||a.push(o)}if(a.length>1)throw new LF("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},n.mergeFunction=function(e){var t=this;return gI((function(){return MD(e,t.axis)}))},n.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new LF("A `Concatenate` layer should be called on a list of inputs.");for(var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=Lv(n.slice(1));!(t=i()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}return r},n.computeMask=function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new LF("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new LF("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new LF("Mismatch in the length of mask ("+t.length+") and the legnth of inputs ("+e.length+")");return gI((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(GN(nE(e[i]),"bool")):t[i].rank<e[i].rank?a.push(uC(t[i],-1)):a.push(t[i]);var o=$S(a,n.axis);return CS(o,-1,!1)}))},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(YP);function nB(e,t){for(;e<0;)e+=t;return e}tB.className="Concatenate",cS(tB);var rB=function(e){function t(t){var n;return(n=e.call(this,t)||this).axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}Cv(t,e);var n=t.prototype;return n.build=function(e){Hv(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 zF("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 LF("Dimension incompatibility: "+t[r[0]]+" !== "+n[r[1]])},n.mergeFunction=function(e){if(2!==e.length)throw new LF("A `Dot` layer must be called on exactly 2 inputs, but received "+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 nB(t,e[n].shape.length)})):[nB(this.axes,n.shape.length),nB(this.axes,r.shape.length)],this.normalize&&(n=cL(n,t[0]),r=cL(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new zF("batchDot is not implemented for tensors of 4D or higher rank yet");if(Hv(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, but got "+e.shape.length})),Hv(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, but got "+t.shape.length})),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new zF("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 gI((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=JS(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var l=[],c=0;c<n;++c)l.push(1);e=JS(e,e.shape.concat(l))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?rC(kS(e,t),i[0]):rC(kS(TI(e,[1,0]),t),i[1]);else{var p=i[0]!==e.shape.length-1,h=i[1]===t.shape.length-1;o=hI(e,t,p,h)}if(n>0){for(var f,d=[],m=f=r>a?r+a-3:r-1;m<f+n;++m)d.push(m);o=sA(o,d)}return 1===o.shape.length&&(o=uC(o,1)),o}))}(n,r,t)},n.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[nB(this.axes,e.length),nB(this.axes,t.length)]},n.computeOutputShape=function(e){Hv(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 zF("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},n.computeMask=function(e,t){return null},n.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(YP);rB.className="Dot",cS(rB);var aB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.stddev=t.stddev,n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t);var r=vM(e);return HD((function(){return bS(PD(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))},t}(EM);aB.className="GaussianNoise",cS(aB);var iB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t);var r=vM(e);if(n.rate>0&&n.rate<1){return HD((function(){var e=Math.sqrt(n.rate/(1-n.rate));return kS(r,PD(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))},t}(EM);iB.className="GaussianDropout",cS(iB);var oB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n.noiseShape=t.noiseShape,n}Cv(t,e);var n=t.prototype;return n._getNoiseShape=function(e){return this.noiseShape||vM(e).shape},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return gI((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return HD((function(){var t=vM(e),a=-1.7580993408473766,i=mC(_E(r),n.rate);i=RD(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=bS(kS(t,i),kS(bS(i,-1),a));return bS(kS(u,o),s)}),(function(){return vM(e)}),t.training||!1)}return e}))},t}(EM);function sB(e,t,n,r,a,i){var o;if(void 0===i&&(i=.001),2===e.rank)o=oT(e,t,n,r,a,i);else if(3===e.rank)o=sT(e,t,n,r,a,i);else{if(4!==e.rank)throw new zF("batchNormalization is not implemented for array of rank "+e.rank+" yet");o=uT(e,t,n,r,a,i)}return o}function uB(e,t,n,r,a){return void 0===a&&(a=.001),Jv(r.slice().sort(),ED(0,e.rank-1))?function(e,t,n,r,a){return void 0===a&&(a=.001),gI((function(){var i=QC(e,r),o=i.mean,s=i.variance;return[sB(e,o,s,n,t,a),o,s]}))}(e,t,n,r,a):function(e,t,n,r,a){return void 0===a&&(a=.001),gI((function(){for(var i,o=QC(e,r),s=o.mean,u=o.variance,l=[],c=Lv(ED(0,e.rank));!(i=c()).done;){var p=i.value;-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=JS(s,l),f=JS(u,l),d=null==t?null:JS(t,l),m=null==n?null:JS(n,l);return[sB(e,h,f,m,d,a),s,u]}))}(e,t,n,r,a)}oB.className="AlphaDropout",cS(oB);var lB=function(e){function t(t){var n;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=fM(t.betaInitializer||"zeros"),n.gammaInitializer=fM(t.gammaInitializer||"ones"),n.movingMeanInitializer=fM(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=fM(t.movingVarianceInitializer||"ones"),n.betaConstraint=XM(t.betaConstraint),n.gammaConstraint=XM(t.gammaConstraint),n.betaRegularizer=Jz(t.betaRegularizer),n.gammaRegularizer=Jz(t.gammaRegularizer),n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t;e=gM(e);var n=this.axis>=0?this.axis:this.axis+e.length,r=e[n];if(null==r)throw new LF("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new NM({ndim:e.length,axes:(t={},t[n]=r,t)})];var a=[r];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},n.call=function(e,t){var n=this;return gI((function(){var r=null!=t.training&&t.training,a=vM(e),i=a.shape,o=i.length,s=ED(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=WF(1,o);l[u]=i[u];var c=s.slice();c.sort();var p=!Jv(c,ED(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=JS(n.movingMean.read(),l),t=JS(n.movingVariance.read(),l),r=n.center?JS(n.beta.read(),l):null,i=n.scale?JS(n.gamma.read(),l):null;return sB(a,e,t,r,i,n.epsilon)}return sB(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=uB(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],v=function(e,t,n){gI((function(){var r=1-n,a=e.read(),i=kS(_C(a,t),r);e.write(_C(a,i))}))};return v(n.movingMean,d,n.momentum),v(n.movingVariance,m,n.momentum),f}))},n.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:hM(this.betaInitializer),gammaInitializer:hM(this.gammaInitializer),movingMeanInitializer:hM(this.movingMeanInitializer),movingVarianceInitializer:hM(this.movingVarianceInitializer),betaRegularizer:Xz(this.betaRegularizer),gammaRegularizer:Xz(this.gammaRegularizer),betaConstraint:qM(this.betaConstraint),gammaConstraint:qM(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);lB.className="BatchNormalization",cS(lB);var cB=function(e){function t(t){var n;if(null==t&&(t={}),(n=e.call(this,t)||this).axis=null==t.axis?-1:t.axis,"number"==typeof n.axis){if(!Number.isInteger(n.axis))throw new Error("Expected axis to be an integer, but received "+n.axis)}else{if(!Array.isArray(n.axis))throw new Error("Expected axis to be an integer or an array of integers, but received "+JSON.stringify(n.axis));for(var r,a=Lv(n.axis);!(r=a()).done;){var i=r.value;if(!Number.isInteger(i))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(n.axis))}}return n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=fM(t.betaInitializer||"zeros"),n.gammaInitializer=fM(t.gammaInitializer||"ones"),n.betaRegularizer=Jz(t.betaRegularizer),n.gammaRegularizer=Jz(t.gammaRegularizer),n.supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return n.build=function(e){var t=(e=gM(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);for(var r,a=Lv(this.axis);!(r=a()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: "+i)}if(this.axis.length!==QF(this.axis).length)throw new Error("Found duplicate axes in: "+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},n.call=function(e,t){var n=this,r=vM(e),a=r.shape,i=a.length;return gI((function(){for(var e,t=QC(r,n.axis,!0),o=t.mean,s=t.variance,u=WF(1,i),l=Lv(n.axis);!(e=l()).done;){var c=e.value;u[c]=a[c]}for(var p=function(e){return null!=e&&e.shape.length!==i?JS(e,u):e},h=n.scale?p(n.gamma.read()):null,f=n.center?p(n.beta.read()):null,d=[],m=[],v=0;v<i;++v)-1!==n.axis.indexOf(v)?(d.push(a[v]),m.push(1)):(d.push(1),m.push(a[v]));return o=cC(o,d),s=cC(s,d),null!=h&&(h=cC(h,m)),null!=f&&(f=cC(f,m)),sB(r,o,s,f,h,n.epsilon)}))},n.getConfig=function(){var t={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:hM(this.betaInitializer),gammaInitializer:hM(this.gammaInitializer),betaRegularizer:Xz(this.betaRegularizer),gammaRegularizer:Xz(this.gammaRegularizer)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);cB.className="LayerNormalization",cS(cB);var pB=function(e){function t(t){var n;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new LF("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r,a;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],a=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new LF("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new LF("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");a=t.padding[1]}n.padding=[r,a]}return n.inputSpec=[new NM({ndim:4})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t,n;return e=gM(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]])},n.call=function(e,t){var n=this;return gI((function(){return t=vM(e),r=n.padding,a=n.dataFormat,gI((function(){if(4!==t.rank)throw new LF("temporalPadding expects input tensor to be 4-D, but received a "+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 LF("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 LF("Unknown data format: "+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]],aE(t,e)}));var t,r,a}))},n.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM);function hB(e,t,n,r,a,i){return gI((function(){var o;mD(a),gD(i),vD(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=oP(e,a);var s="same"===r?"same":"valid";return o="max"===i?VC(e,t,n,s):ZS(e,t,n,s),"channelsFirst"===a&&(o=TI(o,[0,3,1,2])),o}))}function fB(e,t,n,r,a,i){return gI((function(){var o;mD(a),gD(i),vD(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=sP(e,a);var s="same"===r?"same":"valid";return o="max"===i?UC(e,t,n,s):QS(e,t,n,s),"channelsFirst"===a&&(o=TI(o,[0,4,1,2,3])),o}))}pB.className="ZeroPadding2D",cS(pB);var dB=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new LF("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(nD(n.poolSize,"poolSize"),null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new LF("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return nD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,vD(n.padding),n.inputSpec=[new NM({ndim:3})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=aP((e=gM(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},n.call=function(e,t){var n=this;return gI((function(){n.invokeCallHook(e,t),e=_D(vM(e),2);var r=n.poolingFunction(vM(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return sA(r,[2])}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM),mB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return mD(a),vD(r),hB(e,t,n,r,a,"max")},t}(dB);mB.className="MaxPooling1D",cS(mB);var vB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return mD(a),vD(r),hB(e,t,n,r,a,"avg")},t}(dB);vB.className="AveragePooling1D",cS(vB);var gB=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new LF("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return nD(n.poolSize,"poolSize"),nD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,mD(n.dataFormat),vD(n.padding),n.inputSpec=[new NM({ndim:4})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=gM(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=aP(t,this.poolSize[0],this.padding,this.strides[0]),n=aP(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},n.call=function(e,t){var n=this;return gI((function(){return n.invokeCallHook(e,t),n.poolingFunction(vM(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM),yB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return mD(a),vD(r),hB(e,t,n,r,a,"max")},t}(gB);yB.className="MaxPooling2D",cS(yB);var bB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return mD(a),vD(r),hB(e,t,n,r,a,"avg")},t}(gB);bB.className="AveragePooling2D",cS(bB);var xB=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(3!==t.strides.length)throw new LF("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides,t.strides];return nD(n.poolSize,"poolSize"),nD(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,mD(n.dataFormat),vD(n.padding),n.inputSpec=[new NM({ndim:5})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=gM(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=aP(t,this.poolSize[0],this.padding,this.strides[0]),n=aP(n,this.poolSize[1],this.padding,this.strides[1]),r=aP(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]]},n.call=function(e,t){var n=this;return gI((function(){return n.invokeCallHook(e,t),n.poolingFunction(vM(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM),wB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return mD(a),vD(r),fB(e,t,n,r,a,"max")},t}(xB);wB.className="MaxPooling3D",cS(wB);var kB=function(e){function t(t){return e.call(this,t)||this}return Cv(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return mD(a),vD(r),fB(e,t,n,r,a,"avg")},t}(xB);kB.className="AveragePooling3D",cS(kB);var NB=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[new NM({ndim:3})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],e[2]]},n.call=function(e,t){throw new zF},t}(EM),IB=function(e){function t(t){return e.call(this,t||{})||this}return Cv(t,e),t.prototype.call=function(e,t){return gI((function(){var t=vM(e);return HC(t,1)}))},t}(NB);IB.className="GlobalAveragePooling1D",cS(IB);var SB=function(e){function t(t){return e.call(this,t||{})||this}return Cv(t,e),t.prototype.call=function(e,t){return gI((function(){var t=vM(e);return ZT(t,1)}))},t}(NB);SB.className="GlobalMaxPooling1D",cS(SB);var TB=function(e){function t(t){var n;return(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,mD(n.dataFormat),n.inputSpec=[new NM({ndim:4})],n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},n.call=function(e,t){throw new zF},n.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(EM),CB=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.call=function(e,t){var n=this;return gI((function(){var t=vM(e);return"channelsLast"===n.dataFormat?HC(t,[1,2]):HC(t,[2,3])}))},t}(TB);CB.className="GlobalAveragePooling2D",cS(CB);var EB=function(e){function t(){return e.apply(this,arguments)||this}return Cv(t,e),t.prototype.call=function(e,t){var n=this;return gI((function(){var t=vM(e);return"channelsLast"===n.dataFormat?ZT(t,[1,2]):ZT(t,[2,3])}))},t}(TB);EB.className="GlobalMaxPooling2D",cS(EB);var AB=function(e){function t(t){var n;return(n=e.call(this,t)||this).layer=t.layer,n}Cv(t,e);var n=t.prototype;return n.build=function(e){this.built=!0},n.getWeights=function(){return this.layer.getWeights()},n.setWeights=function(e){this.layer.setWeights(e)},n.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(t)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=lL(t.layer,n);delete t.layer;var a={layer:r};return Object.assign(a,t),new e(a)},Tv(t,[{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}}]),t}(EM),RB=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n}Cv(t,e);var n=t.prototype;return n.build=function(t){if((t=gM(t)).length<3)throw new LF("TimeDistributed layer expects an input shape >= 3D, but received input shape "+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},n.computeOutputShape=function(e){var t=[(e=gM(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},n.call=function(e,t){var n=this;return gI((function(){return IP((function(e,r){return[vM(n.layer.call(e,t)),[]]}),e=vM(e),[],!1,null,null,!1,!0)[1]}))},t}(AB);RB.className="TimeDistributed",cS(RB);var _B=function(e){function t(t){var n;n=e.call(this,t)||this;var r=t.layer.getConfig(),a={};a.className=t.layer.getClassName(),a.config=r,n.forwardLayer=lL(a),r.goBackwards=!0!==r.goBackwards;var i,o={};if(o.className=t.layer.getClassName(),o.config=r,n.backwardLayer=lL(o),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===t.mergeMode?"concat":t.mergeMode,i=n.mergeMode,eD(fD,"BidirectionalMergeMode",i),t.weights)throw new zF("weights support is not implemented for Bidirectional layer yet.");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n.numConstants=null,n}Cv(t,e);var n=t.prototype;return n.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},n.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},n.computeOutputShape=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()):GF(n)},n.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=NP(t,r,a,this.numConstants);if(t=i.inputs,r=i.initialState,a=i.constants,Array.isArray(t)&&(r=t.slice(1),t=t[0]),(null==r||0===r.length)&&null==a)return e.prototype.apply.call(this,t,n);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new LF("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");n.initialState=r,o.push.apply(o,r);var l=r.map((function(e){return new NM({shape:e.shape})}));this.forwardLayer.stateSpec=l.slice(0,u/2),this.backwardLayer.stateSpec=l.slice(u/2),s.push.apply(s,l)}if(null!=a)throw new zF("Support for constants in Bidirectional layers is not implemented yet.");for(var c=o[0]instanceof IM,p=0,h=o;p<h.length;p++){if(h[p]instanceof IM!==c)throw new LF("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(c){var f=[t].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var v=e.prototype.apply.call(this,f,n);return this.inputSpec=m,v}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return gI((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),l=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:u})),a=n.backwardLayer.call(e,Object.assign(t,{initialState:l}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=LE(a,1)),"concat"===n.mergeMode?o=MD([r,a]):"sum"===n.mergeMode?o=bS(r,a):"ave"===n.mergeMode?o=kS(.5,bS(r,a)):"mul"===n.mergeMode?o=kS(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))},n.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},n.build=function(e){var t=this;bD(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),bD(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0},n.computeMask=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},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(t),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(t)},n.getConfig=function(){var t={mergeMode:this.mergeMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t){var n=lL(t.layer);if(delete t.layer,null!=t.numConstants)throw new zF("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)},Tv(t,[{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:"trainableWeights",get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}},{key:"nonTrainableWeights",get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}}]),t}(AB);_B.className="Bidirectional",cS(_B);var OB=function(e){function t(t){var n;return(n=e.call(this,t)||this).scale=t.scale,t.offset?n.offset=t.offset:n.offset=0,n}Cv(t,e);var n=t.prototype;return n.getConfig=function(){var t={scale:this.scale,offset:this.offset},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.call=function(e,t){var n=this;return gI((function(){return"float32"!==(e=vM(e)).dtype&&(e=RD(e,"float32")),bS(kS(e,n.scale),n.offset)}))},t}(EM);OB.className="Rescaling",cS(OB);var FB=YR.resizeBilinear,DB=YR.cropAndResize,MB=function(e){function t(t){var n;return(n=e.call(this,t)||this).height=t.height,n.width=t.width,n}Cv(t,e);var n=t.prototype;return n.centerCrop=function(e,t,n,r,a,i,o,s){return gI((function(){var u,l=!1,c=[t/i,n/o,(r+t)/i,(a+n)/o],p=[];3===e.rank?(l=!0,u=uA([e])):u=e;for(var h=0;h<u.shape[0];h++)p.push(c);var f=Pk(p,[p.length,4]),d=OE(0,p.length,1,"int32"),m=DB(u,f,d,[r,a],"nearest");return RD(l?vM(wA(m)):m,s)}))},n.upsize=function(e,t,n,r){return gI((function(){return RD(FB(e,[t,n]),r)}))},n.call=function(e,t){var n=this;return gI((function(){var t=vM(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)}))},n.getConfig=function(){var t={height:this.height,width:this.width},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.computeOutputShape=function(e){var t=(e=gM(e)).length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e},t}(EM);MB.className="CenterCrop",cS(MB);var LB=function(e){function t(t){var n;return(n=e.call(this,t)||this).numTokens=t.numTokens,t.outputMode?n.outputMode=t.outputMode:n.outputMode="multiHot",n}Cv(t,e);var n=t.prototype;return n.getConfig=function(){var t={numTokens:this.numTokens,outputMode:this.outputMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.computeOutputShape=function(e){return null==(e=gM(e))?[this.numTokens]:"oneHot"===this.outputMode&&1!==e[e.length-1]?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)},n.call=function(e,t){var n=this;return gI((function(){var r;if("int32"!==(e=vM(e)).dtype&&(e=RD(e,"int32")),void 0!==t.countWeights){if("count"!==n.outputMode)throw new LF("countWeights is not used when outputMode !== count.\n              Received countWeights="+t.countWeights);r=vM(t.countWeights)}var a=ZT(e),i=QT(e),o=dC(n.numTokens,a).bufferSync().get(0),s=mC(i,0).bufferSync().get(0);if(!o||!s)throw new LF("Input values must be between 0 < values <= numTokens with numTokens="+n.numTokens);return function(e,t,n,r){var a=vM(e);if("int32"!==a.dtype&&(a=RD(a,"int32")),"int"===t)return a;var i=a.shape;if(0===a.rank&&(a=uC(a,-1)),"oneHot"===t&&1!==a.shape[a.shape.length-1]&&(a=uC(a,-1)),a.rank>2)throw new LF("When outputMode is not int, maximum output rank is 2 Received outputMode "+t+" and input shape "+i+" which would result in output rank "+a.rank+".");var o,s=["multiHot","oneHot"].includes(t);if(o=RT(a,void 0!==r&&"count"===t?r:[],n,s),"tfIdf"!==t)return o;if(r)return kS(o,r);throw new LF("When outputMode is 'tfIdf', weights must be provided.")}(e,n.outputMode,n.numTokens,r)}))},t}(EM);LB.className="CategoryEncoding",cS(LB);var zB=new Set(["bilinear","nearest"]),PB=function(e){function t(t){var n;if((n=e.call(this,t)||this).height=t.height,n.width=t.width,t.interpolation){if(!zB.has(t.interpolation))throw new LF("Invalid interpolation parameter: "+t.interpolation+" is not implemented");n.interpolation=t.interpolation}else n.interpolation="bilinear";return n.cropToAspectRatio=Boolean(t.cropToAspectRatio),n}Cv(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=(e=gM(e))[2];return[this.height,this.width,t]},n.getConfig=function(){var t={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.call=function(e,t){var n=this;return gI((function(){var t=[n.height,n.width];if("bilinear"===n.interpolation)return YR.resizeBilinear(e,t,!n.cropToAspectRatio);if("nearest"===n.interpolation)return YR.resizeNearestNeighbor(e,t,!n.cropToAspectRatio);throw new Error("Interpolation is "+n.interpolation+" but only "+[].concat(zB)+" are supported")}))},t}(EM);function BB(e){return new vB(e)}function WB(e){return new bB(e)}function VB(e){return new kB(e)}function UB(e){return new SB(e)}function GB(e){return new EB(e)}function jB(e){return new mB(e)}function HB(e){return new yB(e)}PB.className="Resizing",cS(PB);var qB={__proto__:null,inputLayer:function(e){return new RM(e)},elu:function(e){return new 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new QP(e)},concatenate:function(e){return new tB(e)},maximum:function(e){return new $P(e)},minimum:function(e){return new eB(e)},multiply:function(e){return new ZP(e)},dot:function(e){return new rB(e)},batchNormalization:function(e){return new lB(e)},layerNormalization:function(e){return new cB(e)},zeroPadding2d:function(e){return new pB(e)},averagePooling1d:BB,avgPool1d:function(e){return BB(e)},avgPooling1d:function(e){return BB(e)},averagePooling2d:WB,avgPool2d:function(e){return WB(e)},avgPooling2d:function(e){return WB(e)},averagePooling3d:VB,avgPool3d:function(e){return VB(e)},avgPooling3d:function(e){return VB(e)},globalAveragePooling1d:function(e){return new IB(e)},globalAveragePooling2d:function(e){return new CB(e)},globalMaxPooling1d:UB,globalMaxPooling2d:GB,maxPooling1d:jB,maxPooling2d:HB,maxPooling3d:function(e){return new wB(e)},gru:function(e){return new RP(e)},gruCell:function(e){return new AP(e)},lstm:function(e){return new OP(e)},lstmCell:function(e){return new 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0:e.t0=t.op,e.next="If"===e.t0||"StatelessIf"===e.t0?3:"While"===e.t0||"StatelessWhile"===e.t0?15:"LoopCond"===e.t0?19:"Switch"===e.t0?21:"Merge"===e.t0?32:"Enter"===e.t0?37:"Exit"===e.t0?41:"NextIteration"===e.t0?44:"TensorArrayV3"===e.t0?47:"TensorArrayWriteV3"===e.t0?57:"TensorArrayReadV3"===e.t0?63:"TensorArrayGatherV3"===e.t0?67:"TensorArrayScatterV3"===e.t0?72:"TensorArrayConcatV3"===e.t0?78:"TensorArraySplitV3"===e.t0?82:"TensorArraySizeV3"===e.t0?88:"TensorArrayCloseV3"===e.t0?91:"TensorListSetItem"===e.t0?95:"TensorListGetItem"===e.t0?101:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?107:"TensorListReserve"===e.t0||"EmptyTensorList"===e.t0?114:"TensorListGather"===e.t0?122:"TensorListStack"===e.t0?128:"TensorListFromTensor"===e.t0?134:"TensorListConcat"===e.t0||"TensorListConcatV2"===e.t0?140:"TensorListPushBack"===e.t0?145:"TensorListPopBack"===e.t0?150:"TensorListSplit"===e.t0?155:"TensorListLength"===e.t0?161:"TensorListResize"===e.t0?164:170;break;case 3:return a=iW("thenBranch",t,n,r),i=iW("elseBranch",t,n,r),o=iW("cond",t,n,r),s=iW("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 e.delegateYield(kv().mark((function e(){var a,i,o,s,u,l,c,p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=iW("body",t,n,r),i=iW("cond",t,n,r),o=iW("args",t,n,r),e.next=5,r.functionMap[i].executeFunctionAsync(o,r.tensorArrayMap,r.tensorListMap);case 5:return s=e.sent,u=o.map((function(e){return e.id})),e.next=9,s[0].data();case 9:l=e.sent,s.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||e.dispose()})),c=o,p=kv().mark((function e(){var t,n,o;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=c,e.next=3,r.functionMap[a].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 3:return c=e.sent,n=c.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[i].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 8:return o=e.sent,e.next=11,o[0].data();case 11:l=e.sent,o.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 13:if(!l[0]){e.next=17;break}return e.delegateYield(p(),"t0",15);case 15:e.next=13;break;case 17:return e.abrupt("return",{v:c});case 18:case"end":return e.stop()}}),e)}))(),"t1",16);case 16:if("object"!=typeof(u=e.t1)){e.next=19;break}return e.abrupt("return",u.v);case 19:return l=iW("pred",t,n,r),e.abrupt("return",[pW(l)]);case 21:return c=iW("pred",t,n,r),(p=iW("data",t,n,r)).kept||(p=pW(p)),e.next=26,c.data();case 26:if(!e.sent[0]){e.next=30;break}e.t2=[void 0,p],e.next=31;break;case 30:e.t2=[p,void 0];case 31:return e.abrupt("return",e.t2);case 32:if(h=t.inputNames.find((function(e){return void 0!==oW(e,n,r)})),!h){e.next=36;break}return f=oW(h,n,r),e.abrupt("return",[pW(f)]);case 36:return e.abrupt("return",void 0);case 37:return d=iW("frameName",t,n,r),m=iW("tensor",t,n,r),r.enterFrame(d),e.abrupt("return",[pW(m)]);case 41:return v=iW("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[pW(v)]);case 44:return g=iW("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[pW(g)]);case 47:return y=iW("size",t,n,r),b=iW("dtype",t,n,r),x=iW("elementShape",t,n,r),w=iW("dynamicSize",t,n,r),k=iW("clearAfterRead",t,n,r),N=iW("identicalElementShapes",t,n,r),I=iW("name",t,n,r),S=new QW(I,b,y,x,N,w,k),r.addTensorArray(S),e.abrupt("return",[S.idTensor,eC(1)]);case 57:return T=iW("tensorArrayId",t,n,r),C=iW("index",t,n,r),E=iW("tensor",t,n,r),(A=r.getTensorArray(T.id)).write(C,E),e.abrupt("return",[A.idTensor]);case 63:return R=iW("tensorArrayId",t,n,r),_=iW("index",t,n,r),O=r.getTensorArray(R.id),e.abrupt("return",[O.read(_)]);case 67:return F=iW("tensorArrayId",t,n,r),D=iW("indices",t,n,r),M=iW("dtype",t,n,r),L=r.getTensorArray(F.id),e.abrupt("return",[L.gather(D,M)]);case 72:return z=iW("tensorArrayId",t,n,r),P=iW("indices",t,n,r),B=iW("tensor",t,n,r),(W=r.getTensorArray(z.id)).scatter(P,B),e.abrupt("return",[W.idTensor]);case 78:return V=iW("tensorArrayId",t,n,r),U=r.getTensorArray(V.id),G=iW("dtype",t,n,r),e.abrupt("return",[U.concat(G)]);case 82:return j=iW("tensorArrayId",t,n,r),H=iW("tensor",t,n,r),q=iW("lengths",t,n,r),(K=r.getTensorArray(j.id)).split(q,H),e.abrupt("return",[K.idTensor]);case 88:return X=iW("tensorArrayId",t,n,r),Y=r.getTensorArray(X.id),e.abrupt("return",[eC(Y.size(),"int32")]);case 91:return J=iW("tensorArrayId",t,n,r),(Z=r.getTensorArray(J.id)).clearAndClose(),e.abrupt("return",[Z.idTensor]);case 95:return Q=iW("tensorListId",t,n,r),$=iW("index",t,n,r),ee=iW("tensor",t,n,r),(te=r.getTensorList(Q.id)).setItem($,ee),e.abrupt("return",[te.idTensor]);case 101:return ne=iW("tensorListId",t,n,r),re=iW("index",t,n,r),ae=iW("elementShape",t,n,r),ie=iW("elementDType",t,n,r),oe=r.getTensorList(ne.id),e.abrupt("return",[oe.getItem(re,ae,ie)]);case 107:return se=iW("indices",t,n,r),ue=iW("tensor",t,n,r),le=iW("elementShape",t,n,r),ce=iW("numElements",t,n,r),pe=nV(ue,se,le,ce),r.addTensorList(pe),e.abrupt("return",[pe.idTensor]);case 114:return he=iW("elementShape",t,n,r),fe=iW("elementDType",t,n,r),de="TensorListReserve"===t.op?"numElements":"maxNumElements",me=iW(de,t,n,r),ve="TensorListReserve"===t.op?-1:me,ge=tV(he,fe,0,ve),r.addTensorList(ge),e.abrupt("return",[ge.idTensor]);case 122:return ye=iW("tensorListId",t,n,r),be=iW("indices",t,n,r),xe=iW("elementShape",t,n,r),we=iW("elementDType",t,n,r),ke=r.getTensorList(ye.id),e.abrupt("return",[ke.gather(be,we,xe)]);case 128:return Ne=iW("tensorListId",t,n,r),Ie=iW("elementShape",t,n,r),Se=iW("elementDType",t,n,r),Te=iW("numElements",t,n,r),Ce=r.getTensorList(Ne.id),e.abrupt("return",[Ce.stack(Ie,Se,Te)]);case 134:return Ee=iW("tensor",t,n,r),Ae=iW("elementShape",t,n,r),Re=iW("elementDType",t,n,r),_e=eV(Ee,Ae,Re),r.addTensorList(_e),e.abrupt("return",[_e.idTensor]);case 140:return Oe=iW("tensorListId",t,n,r),Fe=r.getTensorList(Oe.id),De=iW("dtype",t,n,r),Me=iW("elementShape",t,n,r),e.abrupt("return",[Fe.concat(De,Me)]);case 145:return Le=iW("tensorListId",t,n,r),ze=iW("tensor",t,n,r),(Pe=r.getTensorList(Le.id)).pushBack(ze),e.abrupt("return",[Pe.idTensor]);case 150:return Be=iW("tensorListId",t,n,r),We=iW("elementShape",t,n,r),Ve=iW("elementDType",t,n,r),Ue=r.getTensorList(Be.id),e.abrupt("return",[Ue.popBack(We,Ve)]);case 155:return Ge=iW("tensor",t,n,r),je=iW("elementShape",t,n,r),He=iW("lengths",t,n,r),qe=rV(Ge,He,je),r.addTensorList(qe),e.abrupt("return",[qe.idTensor]);case 161:return Ke=iW("tensorListId",t,n,r),Xe=r.getTensorList(Ke.id),e.abrupt("return",[eC(Xe.size(),"int32")]);case 164:return Ye=iW("tensorListId",t,n,r),Je=iW("size",t,n,r),Ze=r.getTensorList(Ye.id),Qe=Ze.resize(Je),r.addTensorList(Qe),e.abrupt("return",[Qe.idTensor]);case 170:throw TypeError("Node type "+t.op+" is not implemented");case 171:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function iV(e,t,n){var r=iW("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,l="fusedbatchnorm"===a,c=iW("numArgs",e,t,n);if(o){if(u&&2!==c)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&o&&1!==c)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");var p=iW("strides",e,t,n),h=cW(e,t,n),f=iW("dataFormat",e,t,n).toUpperCase(),d=iW("dilations",e,t,n),m=iW("args",e,t,n),v=m[0],g=m[1];return s&&(g=v,v=void 0),{stride:p,pad:h,dataFormat:f,dilations:d,biasArg:v,preluArg:g,activationFunc:i,leakyreluAlpha:iW("leakyreluAlpha",e,t,n)}}function oV(e,t,n){return{boxes:iW("boxes",e,t,n),scores:iW("scores",e,t,n),maxOutputSize:iW("maxOutputSize",e,t,n),iouThreshold:iW("iouThreshold",e,t,n),scoreThreshold:iW("scoreThreshold",e,t,n),softNmsSigma:iW("softNmsSigma",e,t,n)}}var sV=function(){var e=Iv(kv().mark((function e(t,n,r,a,i){var o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I,S,T,C,E,A;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:void 0===i&&(i=KW),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=oV(t,n,r),s=o.boxes,u=o.scores,l=o.maxOutputSize,c=o.iouThreshold,p=o.scoreThreshold,h=o.softNmsSigma,e.next=7,i.image.nonMaxSuppressionWithScoreAsync(s,u,l,c,p,h);case 7:return f=e.sent,e.abrupt("return",[f.selectedIndices,f.selectedScores]);case 9:return d=oV(t,n,r),m=d.boxes,v=d.scores,g=d.maxOutputSize,y=d.iouThreshold,b=d.scoreThreshold,x=iW("padToMaxOutputSize",t,n,r),e.next=13,i.image.nonMaxSuppressionPaddedAsync(m,v,g,y,b,x);case 13:return w=e.sent,e.abrupt("return",[w.selectedIndices,w.validOutputs]);case 15:return k=oV(t,n,r),N=k.boxes,I=k.scores,S=k.maxOutputSize,T=k.iouThreshold,C=k.scoreThreshold,e.next=18,i.image.nonMaxSuppressionAsync(N,I,S,T,C);case 18:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 20:return E=i.cast(iW("condition",t,n,r),"bool"),e.next=23,i.whereAsync(E);case 23:return e.t2=e.sent,A=[e.t2],E.dispose(),e.abrupt("return",A);case 27:return e.abrupt("return",i.setdiff1dAsync(iW("x",t,n,r),iW("y",t,n,r)));case 28:throw TypeError("Node type "+t.op+" is not implemented");case 29:case"end":return e.stop()}}),e)})));return function(t,n,r,a,i){return e.apply(this,arguments)}}(),uV=function(){function e(e,t){this.keyDType=e,this.valueDType=t,this.handle=eC(0),this.tensorMap=new Map,bI(this.handle)}var t=e.prototype;return t.clearAndClose=function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()},t.size=function(){return this.tensorMap.size},t.tensorSize=function(){return eC(this.size(),"int32")},t.import=function(){var e=Iv(kv().mark((function e(t,n){var r,a=this;return kv().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",gI((function(){var e=wA(n),t=r.length,i=e.length;Hv(t===i,(function(){return"The number of elements doesn't match, keys has "+t+" elements, the values has "+i+" elements."}));for(var o=0;o<t;o++){var s=r[o],u=e[o];bI(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)}}(),t.find=function(){var e=Iv(kv().mark((function e(t,n){var r,a=this;return kv().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",gI((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return uA(e)})));case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.findWithDefault=function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t},t.checkKeyAndValueTensor=function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype "+this.keyDType+", but got "+e.dtype);if(t.dtype!==this.valueDType)throw new Error("Expect value dtype "+this.valueDType+", but got "+t.dtype)},Tv(e,[{key:"id",get:function(){return this.handle.id}}]),e}(),lV=function(){var e=Iv(kv().mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,f,d,m,v,g,y;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"InitializeTable"===e.t0||"InitializeTableV2"===e.t0||"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?13:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?21:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?29:32;break;case 3:if(null==(i=a.getHashTableHandleByName(t.name))){e.next=8;break}return e.abrupt("return",[i]);case 8:return o=iW("keyDType",t,n,r),s=iW("valueDType",t,n,r),u=new uV(o,s),a.addHashTable(t.name,u),e.abrupt("return",[u.handle]);case 13:return l=iW("tableHandle",t,n,r,a),c=iW("keys",t,n,r),p=iW("values",t,n,r),h=a.getHashTableById(l.id),e.next=19,h.import(c,p);case 19:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 21:return f=iW("tableHandle",t,n,r,a),d=iW("keys",t,n,r),m=iW("defaultValue",t,n,r),v=a.getHashTableById(f.id),e.next=27,v.find(d,m);case 27:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 29:return g=iW("tableHandle",t,n,r,a),y=a.getHashTableById(g.id),e.abrupt("return",[y.tensorSize()]);case 32:throw TypeError("Node type "+t.op+" is not implemented");case 33:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}();function cV(e,t,n,r,a){void 0===a&&(a=gI);var i=function(e,t,n){switch(e.category){case"arithmetic":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add(iW("a",e,t,n),iW("b",e,t,n))];case"AddN":return[r.addN(iW("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod(iW("a",e,t,n),iW("b",e,t,n))];case"Mul":return[r.mul(iW("a",e,t,n),iW("b",e,t,n))];case"RealDiv":case"Div":return[r.div(iW("a",e,t,n),iW("b",e,t,n))];case"DivNoNan":return[r.divNoNan(iW("a",e,t,n),iW("b",e,t,n))];case"FloorDiv":return[r.floorDiv(iW("a",e,t,n),iW("b",e,t,n))];case"Sub":return[r.sub(iW("a",e,t,n),iW("b",e,t,n))];case"Minimum":return[r.minimum(iW("a",e,t,n),iW("b",e,t,n))];case"Maximum":return[r.maximum(iW("a",e,t,n),iW("b",e,t,n))];case"Pow":return[r.pow(iW("a",e,t,n),iW("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference(iW("a",e,t,n),iW("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"basic_math":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"Abs":case"ComplexAbs":return[r.abs(iW("x",e,t,n))];case"Acos":return[r.acos(iW("x",e,t,n))];case"Acosh":return[r.acosh(iW("x",e,t,n))];case"Asin":return[r.asin(iW("x",e,t,n))];case"Asinh":return[r.asinh(iW("x",e,t,n))];case"Atan":return[r.atan(iW("x",e,t,n))];case"Atan2":return[r.atan2(iW("x",e,t,n),iW("y",e,t,n))];case"Atanh":return[r.atanh(iW("x",e,t,n))];case"Ceil":return[r.ceil(iW("x",e,t,n))];case"Complex":return[r.complex(iW("real",e,t,n),iW("imag",e,t,n))];case"Cos":return[r.cos(iW("x",e,t,n))];case"Cosh":return[r.cosh(iW("x",e,t,n))];case"Elu":return[r.elu(iW("x",e,t,n))];case"Erf":return[r.erf(iW("x",e,t,n))];case"Exp":return[r.exp(iW("x",e,t,n))];case"Expm1":return[r.expm1(iW("x",e,t,n))];case"Floor":return[r.floor(iW("x",e,t,n))];case"Log":return[r.log(iW("x",e,t,n))];case"Log1p":return[r.log1p(iW("x",e,t,n))];case"Imag":return[r.imag(iW("x",e,t,n))];case"Neg":return[r.neg(iW("x",e,t,n))];case"Reciprocal":return[r.reciprocal(iW("x",e,t,n))];case"Real":return[r.real(iW("x",e,t,n))];case"Relu":return[r.relu(iW("x",e,t,n))];case"Round":return[r.round(iW("x",e,t,n))];case"Selu":return[r.selu(iW("x",e,t,n))];case"Sigmoid":return[r.sigmoid(iW("x",e,t,n))];case"Sin":return[r.sin(iW("x",e,t,n))];case"Sign":return[r.sign(iW("x",e,t,n))];case"Sinh":return[r.sinh(iW("x",e,t,n))];case"Softplus":return[r.softplus(iW("x",e,t,n))];case"Sqrt":return[r.sqrt(iW("x",e,t,n))];case"Square":return[r.square(iW("x",e,t,n))];case"Tanh":return[r.tanh(iW("x",e,t,n))];case"Tan":return[r.tan(iW("x",e,t,n))];case"ClipByValue":return[r.clipByValue(iW("x",e,t,n),iW("clipValueMin",e,t,n),iW("clipValueMax",e,t,n))];case"Relu6":return[r.relu6(iW("x",e,t,n))];case"Rsqrt":return[r.rsqrt(oW(e.inputNames[0],t,n))];case"Prod":return[r.prod(iW("x",e,t,n),iW("axes",e,t,n))];case"LeakyRelu":return[r.leakyRelu(iW("x",e,t,n),iW("alpha",e,t,n))];case"Prelu":return[r.prelu(iW("x",e,t,n),iW("alpha",e,t,n))];case"IsNan":return[r.isNaN(oW(e.inputNames[0],t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"control":return aV(e,t,n);case"convolution":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"Conv1D":var a=iW("stride",e,t,n),i=iW("pad",e,t,n),o=iW("dataFormat",e,t,n).toUpperCase(),s=iW("dilation",e,t,n);return[r.conv1d(iW("x",e,t,n),iW("filter",e,t,n),a,i,o,s)];case"Conv2D":var u=iW("strides",e,t,n),l=cW(e,t,n),c=iW("dataFormat",e,t,n).toUpperCase(),p=iW("dilations",e,t,n);return[r.conv2d(iW("x",e,t,n),iW("filter",e,t,n),[u[1],u[2]],l,c,[p[1],p[2]])];case"_FusedConv2D":var h=iV(e,t,n),f=h.stride,d=h.pad,m=h.dataFormat,v=h.dilations,g=h.biasArg,y=h.preluArg,b=h.activationFunc,x=h.leakyreluAlpha;return[r.fused.conv2d({x:iW("x",e,t,n),filter:iW("filter",e,t,n),strides:[f[1],f[2]],pad:d,dataFormat:m,dilations:[v[1],v[2]],bias:g,activation:b,preluActivationWeights:y,leakyreluAlpha:x})];case"FusedDepthwiseConv2dNative":var w=iV(e,t,n),k=w.stride,N=w.pad,I=w.dataFormat,S=w.dilations,T=w.biasArg,C=w.preluArg,E=w.activationFunc,A=w.leakyreluAlpha;return[r.fused.depthwiseConv2d({x:iW("x",e,t,n),filter:iW("filter",e,t,n),strides:[k[1],k[2]],pad:N,dataFormat:I,dilations:[S[1],S[2]],bias:T,activation:E,preluActivationWeights:C,leakyreluAlpha:A})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=iW("outputShape",e,t,n),_=iW("strides",e,t,n),O=cW(e,t,n);return[r.conv2dTranspose(iW("x",e,t,n),iW("filter",e,t,n),R,[_[1],_[2]],O)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var F=iW("strides",e,t,n),D=cW(e,t,n),M=iW("dilations",e,t,n),L=iW("dataFormat",e,t,n).toUpperCase();return[r.depthwiseConv2d(iW("input",e,t,n),iW("filter",e,t,n),[F[1],F[2]],D,L,[M[1],M[2]])];case"Conv3D":var z=iW("strides",e,t,n),P=iW("pad",e,t,n),B=iW("dataFormat",e,t,n).toUpperCase(),W=iW("dilations",e,t,n);return[r.conv3d(iW("x",e,t,n),iW("filter",e,t,n),[z[1],z[2],z[3]],P,B,[W[1],W[2],W[3]])];case"AvgPool":var V=iW("strides",e,t,n),U=iW("pad",e,t,n),G=iW("kernelSize",e,t,n);return[r.avgPool(iW("x",e,t,n),[G[1],G[2]],[V[1],V[2]],U)];case"MaxPool":var j=iW("strides",e,t,n),H=iW("pad",e,t,n),q=iW("kernelSize",e,t,n);return[r.maxPool(iW("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H)];case"MaxPoolWithArgmax":var K=iW("strides",e,t,n),X=iW("pad",e,t,n),Y=iW("kernelSize",e,t,n),J=iW("includeBatchInIndex",e,t,n),Z=r.maxPoolWithArgmax(iW("x",e,t,n),[Y[1],Y[2]],[K[1],K[2]],X,J);return[Z.result,Z.indexes];case"AvgPool3D":var Q=iW("strides",e,t,n),$=iW("pad",e,t,n),ee=iW("kernelSize",e,t,n);return[r.avgPool3d(iW("x",e,t,n),[ee[1],ee[2],ee[3]],[Q[1],Q[2],Q[3]],$)];case"MaxPool3D":var te=iW("strides",e,t,n),ne=iW("pad",e,t,n),re=iW("kernelSize",e,t,n);return[r.maxPool3d(iW("x",e,t,n),[re[1],re[2],re[3]],[te[1],te[2],te[3]],ne)];case"Dilation2D":var ae=iW("strides",e,t,n),ie=iW("pad",e,t,n),oe=iW("dilations",e,t,n),se=ae[1],ue=ae[2],le=oe[1],ce=oe[2];return[r.dilation2d(iW("x",e,t,n),iW("filter",e,t,n),[se,ue],ie,[le,ce],"NHWC")];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"creation":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"Fill":var a=iW("shape",e,t,n),i=iW("dtype",e,t,n),o=iW("value",e,t,n);return[r.fill(a,o,i)];case"LinSpace":var s=iW("start",e,t,n),u=iW("stop",e,t,n),l=iW("num",e,t,n);return[r.linspace(s,u,l)];case"Multinomial":var c=iW("logits",e,t,n),p=iW("numSamples",e,t,n),h=iW("seed",e,t,n);return[r.multinomial(c,p,h)];case"OneHot":var f=iW("indices",e,t,n),d=iW("depth",e,t,n),m=iW("onValue",e,t,n),v=iW("offValue",e,t,n),g=iW("dtype",e,t,n);return[r.oneHot(f,d,m,v,g)];case"Ones":return[r.ones(iW("shape",e,t,n),iW("dtype",e,t,n))];case"OnesLike":return[r.onesLike(iW("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal(iW("shape",e,t,n),iW("dtype",e,t,n),iW("seed",e,t,n))];case"RandomUniform":return[r.randomUniform(iW("shape",e,t,n),iW("minval",e,t,n),iW("maxval",e,t,n),iW("dtype",e,t,n))];case"Range":var y=iW("start",e,t,n),b=iW("stop",e,t,n),x=iW("step",e,t,n);return[r.range(y,b,x,iW("dtype",e,t,n))];case"TruncatedNormal":var w=iW("shape",e,t,n),k=iW("mean",e,t,n),N=iW("stdDev",e,t,n),I=iW("seed",e,t,n);return[r.truncatedNormal(w,k,N,iW("dtype",e,t,n),I)];case"Zeros":return[r.zeros(iW("shape",e,t,n),iW("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike(iW("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"dynamic":return sV(e,t,n);case"evaluation":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"LowerBound":var a=iW("sortedSequence",e,t,n),i=iW("values",e,t,n);return[r.lowerBound(a,i)];case"TopKV2":var o=iW("x",e,t,n),s=iW("k",e,t,n),u=iW("sorted",e,t,n),l=r.topk(o,s,u);return[l.values,l.indices];case"UpperBound":var c=iW("sortedSequence",e,t,n),p=iW("values",e,t,n);return[r.upperBound(c,p)];case"Unique":var h=iW("x",e,t,n),f=r.unique(h);return[f.values,f.indices];case"UniqueV2":var d=iW("x",e,t,n),m=iW("axis",e,t,n),v=r.unique(d,m);return[v.values,v.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"image":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"ResizeBilinear":var a=iW("images",e,t,n),i=iW("size",e,t,n),o=iW("alignCorners",e,t,n),s=iW("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[i[0],i[1]],o,s)];case"ResizeNearestNeighbor":var u=iW("images",e,t,n),l=iW("size",e,t,n),c=iW("alignCorners",e,t,n),p=iW("halfPixelCenters",e,t,n);return[r.image.resizeNearestNeighbor(u,[l[0],l[1]],c,p)];case"CropAndResize":var h=iW("image",e,t,n),f=iW("boxes",e,t,n),d=iW("boxInd",e,t,n),m=iW("cropSize",e,t,n),v=iW("method",e,t,n),g=iW("extrapolationValue",e,t,n);return[r.image.cropAndResize(h,f,d,m,v,g)];case"ImageProjectiveTransformV3":var y=iW("images",e,t,n),b=iW("transforms",e,t,n),x=iW("outputShape",e,t,n),w=iW("fillValue",e,t,n),k=iW("interpolation",e,t,n),N=iW("fillMode",e,t,n);return[r.image.transform(y,b,k.toLowerCase(),N.toLowerCase(),w,x)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"graph":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=iW("default",e,t,n);return[oW(e.name,t,n)||a];case"Placeholder":return[oW(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":case"Snapshot":return[pW(iW("x",e,t,n))];case"IdentityN":return iW("x",e,t,n).map((function(e){return pW(e)}));case"Shape":return[r.tensor1d(iW("x",e,t,n).shape,"int32")];case"ShapeN":return iW("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar(iW("x",e,t,n).size,"int32")];case"Rank":return[r.scalar(iW("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var i=iW("x",e,t,n),o=iW("data",e,t,n),s=iW("message",e,t,n),u=iW("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 l=0;l<o.length;l++)console.log(Array.prototype.slice.call(o[l].dataSync()).slice(0,u));return[i];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"logical":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"Equal":return[r.equal(iW("a",e,t,n),iW("b",e,t,n))];case"NotEqual":return[r.notEqual(iW("a",e,t,n),iW("b",e,t,n))];case"Greater":return[r.greater(iW("a",e,t,n),iW("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual(iW("a",e,t,n),iW("b",e,t,n))];case"Less":return[r.less(iW("a",e,t,n),iW("b",e,t,n))];case"LessEqual":return[r.lessEqual(iW("a",e,t,n),iW("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd(iW("a",e,t,n),iW("b",e,t,n))];case"LogicalNot":return[r.logicalNot(iW("a",e,t,n))];case"LogicalOr":return[r.logicalOr(iW("a",e,t,n),iW("b",e,t,n))];case"Select":case"SelectV2":return[r.where(iW("condition",e,t,n),iW("a",e,t,n),iW("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"matrices":return a((function(){return function(e,t,n,r){var a;switch(void 0===r&&(r=KW),e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul(iW("a",e,t,n),iW("b",e,t,n),iW("transposeA",e,t,n),iW("transposeB",e,t,n))];case"Einsum":return[(a=r).einsum.apply(a,[iW("equation",e,t,n)].concat(iW("tensors",e,t,n)))];case"Transpose":return[r.transpose(iW("x",e,t,n),iW("perm",e,t,n))];case"_FusedMatMul":var i=iW("fusedOps",e,t,n),o=i[0],s=i[1],u="biasadd"===o,l="prelu"===s,c=iW("numArgs",e,t,n),p=iW("leakyreluAlpha",e,t,n);if(u){if(l&&2!==c)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!l&&1!==c)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var h=iW("args",e,t,n),f=h[0],d=h[1];return[r.fused.matMul({a:iW("a",e,t,n),b:iW("b",e,t,n),transposeA:iW("transposeA",e,t,n),transposeB:iW("transposeB",e,t,n),bias:f,activation:s,preluActivationWeights:d,leakyreluAlpha:p})];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"normalization":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"EuclideanNorm":return[r.euclideanNorm(iW("x",e,t,n),iW("axis",e,t,n),iW("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm(iW("x",e,t,n),iW("mean",e,t,n),iW("variance",e,t,n),iW("offset",e,t,n),iW("scale",e,t,n),iW("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization(iW("x",e,t,n),iW("radius",e,t,n),iW("bias",e,t,n),iW("alpha",e,t,n),iW("beta",e,t,n))];case"Softmax":return[r.softmax(iW("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax(iW("x",e,t,n))];case"SparseToDense":return[r.sparseToDense(iW("sparseIndices",e,t,n),iW("outputShape",e,t,n),iW("sparseValues",e,t,n),iW("defaultValue",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"ragged":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"RaggedGather":var a=r.raggedGather(iW("paramsNestedSplits",e,t,n),iW("paramsDenseValues",e,t,n),iW("indices",e,t,n),iW("outputRaggedRank",e,t,n)),i=a.outputNestedSplits,o=a.outputDenseValues;return i.concat(o);case"RaggedRange":var s=r.raggedRange(iW("starts",e,t,n),iW("limits",e,t,n),iW("splits",e,t,n));return[s.rtNestedSplits,s.rtDenseValues];case"RaggedTensorToTensor":return[r.raggedTensorToTensor(iW("shape",e,t,n),iW("values",e,t,n),iW("defaultValue",e,t,n),iW("rowPartitionTensors",e,t,n),iW("rowPartitionTypes",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"reduction":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"Max":var a=iW("axis",e,t,n),i=iW("keepDims",e,t,n);return[r.max(iW("x",e,t,n),a,i)];case"Mean":var o=iW("axis",e,t,n),s=iW("keepDims",e,t,n);return[r.mean(iW("x",e,t,n),o,s)];case"Min":var u=iW("axis",e,t,n),l=iW("keepDims",e,t,n);return[r.min(iW("x",e,t,n),u,l)];case"Sum":var c=iW("axis",e,t,n),p=iW("keepDims",e,t,n);return[r.sum(iW("x",e,t,n),c,p)];case"All":var h=iW("axis",e,t,n),f=iW("keepDims",e,t,n);return[r.all(iW("x",e,t,n),h,f)];case"Any":var d=iW("axis",e,t,n),m=iW("keepDims",e,t,n);return[r.any(iW("x",e,t,n),d,m)];case"ArgMax":var v=iW("axis",e,t,n);return[r.argMax(iW("x",e,t,n),v)];case"ArgMin":var g=iW("axis",e,t,n);return[r.argMin(iW("x",e,t,n),g)];case"Prod":var y=iW("axis",e,t,n),b=iW("keepDims",e,t,n);return[r.prod(iW("x",e,t,n),y,b)];case"Cumprod":var x=iW("axis",e,t,n),w=iW("exclusive",e,t,n),k=iW("reverse",e,t,n);return[r.cumprod(iW("x",e,t,n),x,w,k)];case"Cumsum":var N=iW("axis",e,t,n),I=iW("exclusive",e,t,n),S=iW("reverse",e,t,n);return[r.cumsum(iW("x",e,t,n),N,I,S)];case"Bincount":var T=iW("x",e,t,n),C=iW("weights",e,t,n),E=iW("size",e,t,n);return[r.bincount(T,C,E)];case"DenseBincount":var A=iW("x",e,t,n),R=iW("weights",e,t,n),_=iW("size",e,t,n),O=iW("binaryOutput",e,t,n);return[r.denseBincount(A,R,_,O)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"slice_join":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"ConcatV2":case"Concat":var a=iW("n",e,t,n),i=iW("axis",e,t,n),o=iW("tensors",e,t,n);return o=o.slice(0,a),[r.concat(o,i)];case"Gather":var s=iW("x",e,t,n),u=iW("indices",e,t,n);return[r.gather(s,r.cast(u,"int32"),0)];case"GatherV2":var l=iW("axis",e,t,n),c=iW("batchDims",e,t,n),p=iW("x",e,t,n),h=iW("indices",e,t,n);return[r.gather(p,r.cast(h,"int32"),l,c)];case"Reverse":for(var f=iW("dims",e,t,n),d=[],m=0;m<f.length;m++)f[m]&&d.push(m);var v=iW("x",e,t,n);return[r.reverse(v,d)];case"ReverseV2":var g=iW("axis",e,t,n),y=iW("x",e,t,n);return[r.reverse(y,g)];case"Slice":var b=iW("begin",e,t,n),x=iW("size",e,t,n);return[r.slice(iW("x",e,t,n),b,x)];case"StridedSlice":var w=iW("begin",e,t,n),k=iW("end",e,t,n),N=iW("strides",e,t,n),I=iW("beginMask",e,t,n),S=iW("endMask",e,t,n),T=iW("ellipsisMask",e,t,n),C=iW("newAxisMask",e,t,n),E=iW("shrinkAxisMask",e,t,n),A=iW("x",e,t,n);return[r.stridedSlice(A,w,k,N,I,S,T,C,E)];case"Pack":return gI((function(){var a=iW("axis",e,t,n),i=iW("tensors",e,t,n),o=i[0].shape,s=r.squeeze(i[0]).shape,u=i.map((function(e){var t=Jv(e.shape,o);if(!t&&!Jv(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 R=iW("axis",e,t,n),_=iW("tensor",e,t,n);return r.unstack(_,R);case"Tile":var O=iW("reps",e,t,n);return[r.tile(iW("x",e,t,n),O)];case"Split":case"SplitV":var F=iW("axis",e,t,n),D=iW("numOrSizeSplits",e,t,n),M=iW("x",e,t,n);return r.split(M,D,F);case"ScatterNd":var L=iW("indices",e,t,n),z=iW("values",e,t,n),P=iW("shape",e,t,n);return[r.scatterND(L,z,P)];case"GatherNd":var B=iW("x",e,t,n),W=iW("indices",e,t,n);return[r.gatherND(B,W)];case"SparseToDense":var V=iW("sparseIndices",e,t,n),U=iW("outputShape",e,t,n),G=iW("sparseValues",e,t,n),j=iW("defaultValue",e,t,n);return[r.sparseToDense(V,G,U,G.dtype===j.dtype?j:r.cast(j,G.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"sparse":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows(iW("indices",e,t,n),iW("values",e,t,n),iW("denseShape",e,t,n),iW("defaultValue",e,t,n));return[a.outputIndices,a.outputValues,a.emptyRowIndicator,a.reverseIndexMap];case"SparseReshape":var i=r.sparse.sparseReshape(iW("inputIndices",e,t,n),iW("inputShape",e,t,n),iW("newShape",e,t,n));return[i.outputIndices,i.outputShape];case"SparseSegmentMean":return[r.sparse.sparseSegmentMean(iW("data",e,t,n),iW("indices",e,t,n),iW("segmentIds",e,t,n))];case"SparseSegmentSum":return[r.sparse.sparseSegmentSum(iW("data",e,t,n),iW("indices",e,t,n),iW("segmentIds",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"spectral":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"FFT":return[r.fft(iW("x",e,t,n))];case"IFFT":return[r.ifft(iW("x",e,t,n))];case"RFFT":return[r.rfft(iW("x",e,t,n))];case"IRFFT":return[r.irfft(iW("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"string":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"StringNGrams":var a=r.string.stringNGrams(iW("data",e,t,n),iW("dataSplits",e,t,n),iW("separator",e,t,n),iW("nGramWidths",e,t,n),iW("leftPad",e,t,n),iW("rightPad",e,t,n),iW("padWidth",e,t,n),iW("preserveShortSequences",e,t,n));return[a.nGrams,a.nGramsSplits];case"StringSplit":var i=r.string.stringSplit(iW("input",e,t,n),iW("delimiter",e,t,n),iW("skipEmpty",e,t,n));return[i.indices,i.values,i.shape];case"StringToHashBucketFast":return[r.string.stringToHashBucketFast(iW("input",e,t,n),iW("numBuckets",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"transformation":return a((function(){return function(e,t,n,r){switch(void 0===r&&(r=KW),e.op){case"Cast":return[r.cast(iW("x",e,t,n),iW("dtype",e,t,n))];case"ExpandDims":var a=iW("axis",e,t,n);return[r.expandDims(iW("x",e,t,n),a)];case"Squeeze":var i=iW("axis",e,t,n);return[r.squeeze(iW("x",e,t,n),i)];case"Reshape":return[r.reshape(iW("x",e,t,n),iW("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad(iW("x",e,t,n),iW("padding",e,t,n),iW("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad(iW("x",e,t,n),iW("padding",e,t,n),iW("constantValue",e,t,n))];case"SpaceToBatchND":var o=iW("blockShape",e,t,n),s=iW("paddings",e,t,n);return[r.spaceToBatchND(iW("x",e,t,n),o,s)];case"BatchToSpaceND":var u=iW("blockShape",e,t,n),l=iW("crops",e,t,n);return[r.batchToSpaceND(iW("x",e,t,n),u,l)];case"DepthToSpace":var c=iW("blockSize",e,t,n),p=iW("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace(iW("x",e,t,n),c,p)];case"BroadcastTo":return[r.broadcastTo(iW("x",e,t,n),iW("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs(iW("s0",e,t,n),iW("s1",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"hash_table":return lV(e,t,n,r);case"custom":var i=aW(e.op);if(i&&i.customExecutor)return i.customExecutor(new qW(e,t,n));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+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 Cg(i)?i.then((function(e){return[].concat(e)})):[].concat(i)}var pV=function(){function e(e,t,n,r){void 0===e&&(e={}),void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r={}),this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}var t=e.prototype;return t.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},t.generateCurrentContextIds=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},t.contextIdforContexts=function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId})).join("/"):""},t.enterFrame=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)))},t.exitFrame=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()},t.nextIteration=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))},t.getWeight=function(e){return this.weightMap[e]},t.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},t.getTensorArray=function(e){return this.tensorArrayMap[e]},t.addTensorList=function(e){this.tensorListMap[e.id]=e},t.getTensorList=function(e){return this.tensorListMap[e]},t.dispose=function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)},Tv(e,[{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}}]),e}();function hV(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,l=Object.keys(e).map((function(e){return lW(e)[0]})),c=[];null!=r&&(c=r.map((function(e){return lW(e.name)[0]})));for(var p=[].concat(t);p.length>0;){var h=p.pop();(vV(h)||gV(h)||yV(h))&&null==o&&(s=(o=h).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(h.name),null==n[h.name]&&(-1===l.indexOf(h.name)&&-1===c.indexOf(h.name)&&(0!==h.inputs.length?h.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),p.push(e))})):i.push(h.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}var fV=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],dV=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],mV=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"];function vV(e){return fV.indexOf(e.op)>=0}function gV(e){return dV.indexOf(e.op)>=0}function yV(e){return mV.indexOf(e.op)>=0}var bV=function(){function e(t,n){var r=this;this.graph=t,this.parent=n,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!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)}))}var t=e.prototype;return t.getCompilationKey=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)},t.compile=function(e,t){var n=hV(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 '"+a.name+"', which has the dynamic op '"+a.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+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 ["+o+"] from the provided inputs ["+s+"]. Missing the following inputs: ["+r+"]")}return function(e,t,n){var r=n.usedNodes,a=n.inputs,i=[],o=Object.keys(a).map((function(e){return lW(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,l=[];i.length>0;){var c=i.pop();u.add(c.name),t[c.name]||l.push(c),c.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 l}(this.graph,this.weightMap,n)},t.cloneAndKeepTensor=function(e){if(null==e)return null;var t=e.clone();return bI(t),t},t.cloneTensorList=function(e){var t=this;if(!e)return null;var n=e.map((function(e){return t.cloneAndKeepTensor(e)}));return n},t.cloneTensorMap=function(e){var t=this;return Object.fromEntries(Object.entries(e).map((function(e){var n=e[0],r=e[1];return[n,t.cloneTensorList(r)]})))},t.execute=function(e,t){var n=this;this.disposeIntermediateTensors(),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[lW(e)[0]]})),i=t.map((function(e){return lW(e)[0]})),o=i.map((function(e){return n.graph.nodes[e]}));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));try{this.keepIntermediateTensors=Fg().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var l={},c={};return gI((function(){var r=new pV(n.weightMap,l,c,n.functionExecutorMap),a=Object.assign({},n.weightMap);n.keepIntermediateTensors&&(n.clonedTensorsMap=n.cloneTensorMap(n.weightMap)),Object.keys(e).forEach((function(t){var r=lW(t),i=r[0],o=[];o[r[1]]=e[t],a[i]=o,n.keepIntermediateTensors&&(n.clonedTensorsMap[i]=n.cloneTensorList(o))}));for(var o=n.getFrozenTensorIds(a),s={},p=0;p<u.length;p++){var h=u[p];if(!a[h.name]){var f=cV(h,a,r,n._resourceManager);if(Cg(f))throw new Error("The execution of the op '"+h.op+"' returned a promise. Please use model.executeAsync() instead.");a[h.name]=f,n.keepIntermediateTensors&&(n.clonedTensorsMap[h.name]=n.cloneTensorList(f)),n.checkTensorForDisposal(h.name,h,a,r,o,i,s)}}return null==n.parent&&r.dispose(o),t.map((function(e){return oW(e,a,r)}))}))},t.getFrozenTensorIds=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)},t.checkTensorForDisposal=function(e,t,n,r,a,i,o){"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 t=function(e,t,n){return t[uW(e,n.currentContextId)]}(e.name,n,r);null!=t&&t.forEach((function(e){if(e&&!e.kept&&!a.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}}))}})))},t.executeAsync=function(){var e=Iv(kv().mark((function e(t,n){return kv().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)}}(),t.disposeIntermediateTensors=function(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach((function(e){for(var t,n=Lv(e);!(t=n()).done;){var r=t.value;r&&!r.isDisposed&&r.dispose()}})),this.clonedTensorsMap=null)},t.getIntermediateTensors=function(){return this.clonedTensorsMap},t._executeAsync=function(){var e=Iv(kv().mark((function e(t,n,r,a,i){var o,s,u,l,c,p;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:void 0===r&&(r=!1),void 0===a&&(a={}),void 0===i&&(i={}),this.disposeIntermediateTensors(),r||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepIntermediateTensors=Fg().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return o=new pV(this.weightMap,a,i,this.functionExecutorMap),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),e.next=10,this.executeWithControlFlow(t,o,n,r);case 10:return s=e.sent,u=n.map((function(e){return oW(e,s,o)})),l=u.map((function(e){return e.id})),c=Object.keys(t).map((function(e){return t[e].id})),p=new Set([].concat(l,c,this.weightIds)),Object.values(s).forEach((function(e){e.forEach((function(e){!e||e.isDisposed||p.has(e.id)||e.dispose()}))})),null==this.parent&&o.dispose(p),e.abrupt("return",u);case 18:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i){return e.apply(this,arguments)}}(),t.executeFunctionAsync=function(){var e=Iv(kv().mark((function e(t,n,r){var a,i=this;return kv().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)}}(),t.executeWithControlFlow=function(){var e=Iv(kv().mark((function e(t,n,r,a){var i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=Object.keys(t),o=i.map((function(e){return k.graph.nodes[lW(e)[0]]})),s=r.map((function(e){return lW(e)[0]})),0===(u=s.map((function(e){return k.graph.nodes[e]}))).length&&(u=this._outputs),l=hV(t,u,this.weightMap,this._initNodes),c=l.usedNodes,p=l.missingInputs,h=l.dynamicNode,f=l.syncInputs,d=[].concat(o,this.graph.weights,this._initNodes||[]).map((function(e){return{node:e,contexts:n.currentContext}})),m=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=lW(e),r=n[0],a=[];a[n[1]]=t[e],m[r]=a})),v={},g=this.getFrozenTensorIds(m),y={};case 12:if(!(d.length>0)){e.next=18;break}return b=this.processStack(o,d,n,m,y,g,s,v,c),e.next=16,Promise.all(b);case 16:e.next=12;break;case 18:if(null!=h||a||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),x=u.filter((function(e){return!vV(e)&&!oW(e.name,m,n)})).map((function(e){return e.name})),!(x.length>0)){e.next=24;break}throw w="",null!=h&&(w="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+f+"]"),new Error("Cannot compute the outputs ["+x+"] from the provided inputs ["+i+"]. Consider providing the following inputs: ["+p+"]. "+w);case 24:return e.abrupt("return",m);case 25:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),t.processStack=function(e,t,n,r,a,i,o,s,u){for(var l=this,c=[],p=function(){var e=t.pop();n.currentContext=e.contexts;var p="";if("Enter"===e.node.op&&iW("isConstant",e.node,r,n)){var h=sW(e.node.name,n);p=h[0]}if(null==r[e.node.name]){var f=cV(e.node,r,n,l._resourceManager);if(!p){var d=sW(e.node.name,n);p=d[0]}var m=n.currentContext;Cg(f)?c.push(f.then((function(c){return r[p]=c,l.keepIntermediateTensors&&(l.clonedTensorsMap[p]=l.cloneTensorList(c)),n.currentContext=m,l.checkTensorForDisposal(p,e.node,r,n,i,o,s),l.processChildNodes(e.node,t,n,r,a,u),c}))):(r[p]=f,l.keepIntermediateTensors&&(l.clonedTensorsMap[p]=l.cloneTensorList(f)),l.checkTensorForDisposal(p,e.node,r,n,i,o,s),l.processChildNodes(e.node,t,n,r,a,u))}else l.processChildNodes(e.node,t,n,r,a,u)};t.length>0;)p();return c},t.processChildNodes=function(e,t,n,r,a,i){e.children.forEach((function(e){var o=sW(e.name,n)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!oW(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!oW(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})))}))},t.dispose=function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))},t.checkInputShapeAndType=function(e){var t=this;Object.keys(e).forEach((function(n){var r=e[n],a=lW(n)[0],i=t.graph.nodes[a];if(i.attrParams.shape&&i.attrParams.shape.value){var o=i.attrParams.shape.value,s=o.length===r.shape.length&&r.shape.every((function(e,t){return-1===o[t]||o[t]===e}));Hv(s,(function(){return"The shape of dict['"+i.name+"'] provided in model.execute(dict) must be ["+o+"], but was ["+r.shape+"]"}))}i.attrParams.dtype&&i.attrParams.dtype.value&&Hv(r.dtype===i.attrParams.dtype.value,(function(){return"The dtype of dict['"+i.name+"'] provided in model.execute(dict) must be "+i.attrParams.dtype.value+", but was "+r.dtype}))}))},t.mapInputs=function(e){var t,n,r={};for(var a in e){var i=null===(n=null===(t=this._signature)||void 0===t?void 0:t.inputs)||void 0===n?void 0:n[a];null!=i?r[i.name]=e[a]:r[a]=e[a]}return r},t.checkInputs=function(e){var t=this,n=Object.keys(e).filter((function(e){var n=lW(e)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+n+"] that are not part of graph")},t.mapOutputs=function(e){var t=this;return e.map((function(e){var n,r,a=null===(r=null===(n=t._signature)||void 0===n?void 0:n.outputs)||void 0===r?void 0:r[e];return null!=a?a.name:e}),{})},t.checkOutputs=function(e){var t=this;e.forEach((function(e){var n=lW(e)[0];if(!t.graph.nodes[n])throw new Error("The output '"+e+"' is not found in the graph")}))},Tv(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?t+":"+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}),{})}}]),e}(),xV=function(){function e(e,t){void 0===e&&(e={}),void 0===t&&(t={}),this.hashTableNameToHandle=e,this.hashTableMap=t}var t=e.prototype;return t.addHashTable=function(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t},t.getHashTableHandleByName=function(e){return this.hashTableNameToHandle[e]},t.getHashTableById=function(e){return this.hashTableMap[e]},t.dispose=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}(),wV=function(){function e(e,t,n){void 0===t&&(t={}),void 0===n&&(n=pI),this.modelUrl=e,this.loadOptions=t,this.version="n/a",this.io=n,null==t&&(this.loadOptions={}),this.resourceManager=new xV}var t=e.prototype;return t.findIOHandler=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 ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},t.load=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 Cg(t)?t.then((function(t){return e.loadSync(t)})):this.loadSync(t)},t.loadSync=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=t.versions.producer+"."+t.versions.minConsumer;var a=this.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new bV(_W.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=_W.Instance.transformGraph(e.modelInitializer);this.initializer=new bV(i),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0},t.save=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().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 '"+t+"'");case 6:if(!(r.length>1)){e.next=8;break}throw new Error("Found more than one ("+r.length+") save handlers for URL '"+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)}}(),t.addStructuredOutputNames=function(e){var t=this;if(this.structuredOutputKeys){var n={};return(e instanceof tk?[e]:e).forEach((function(e,r){return n[t.structuredOutputKeys[r]]=e})),n}return e},t.predict=function(e,t){var n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)},t.predictAsync=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.executeAsync(t,this.outputNodes);case 2:return r=e.sent,e.abrupt("return",this.addStructuredOutputNames(r));case 4:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.normalizeInputs=function(e){var t,n=this;if(!(e instanceof tk||Array.isArray(e))){var r=null===(t=this.signature)||void 0===t?void 0:t.inputs;if(null!=r)for(var a in r){var i=r[a];null!=i.resourceId&&(e[a]=this.resourceIdToCapturedInput[i.resourceId])}return e}e=Array.isArray(e)?e:[e];var o=Object.keys(this.resourceIdToCapturedInput).length;if(e.length+o!==this.inputNodes.length)throw new Error("Input tensor count mismatch, the graph model has "+(this.inputNodes.length-o)+" non-resource placeholders, while there are "+e.length+" input tensors provided.");var s=0;return this.inputNodes.reduce((function(t,r){var a,i,o,u=null===(o=null===(i=null===(a=n.signature)||void 0===a?void 0:a.inputs)||void 0===i?void 0:i[r])||void 0===o?void 0:o.resourceId;return t[r]=null!=u?n.resourceIdToCapturedInput[u]:e[s++],t}),{})},t.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},t.executeInitializerGraph=function(){return null==this.initializer?[]:null==this.initializerSignature?this.initializer.execute({},[]):this.initializer.execute({},Object.keys(this.initializerSignature.outputs))},t.executeInitializerGraphAsync=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.initializer){e.next=2;break}return e.abrupt("return",[]);case 2:if(null!=this.initializerSignature){e.next=6;break}return e.abrupt("return",this.initializer.executeAsync({},[]));case 6:return e.abrupt("return",this.initializer.executeAsync({},Object.keys(this.initializerSignature.outputs)));case 7:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.setResourceIdToCapturedInput=function(e){if(this.resourceIdToCapturedInput={},this.initializerSignature)for(var t=this.initializerSignature.outputs,n=Object.keys(t),r=0;r<n.length;r++){var a=t[n[r]];this.resourceIdToCapturedInput[a.resourceId]=e[r]}},t.execute=function(e,t){null==this.resourceIdToCapturedInput&&this.setResourceIdToCapturedInput(this.executeInitializerGraph()),e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var n=this.executor.execute(e,t);return n.length>1?n:n[0]},t.executeAsync=function(){var e=Iv(kv().mark((function e(t,n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.resourceIdToCapturedInput){e.next=6;break}return e.t0=this,e.next=4,this.executeInitializerGraphAsync();case 4:e.t1=e.sent,e.t0.setResourceIdToCapturedInput.call(e.t0,e.t1);case 6:return t=this.normalizeInputs(t),n=this.normalizeOutputs(n),e.next=10,this.executor.executeAsync(t,n);case 10:return r=e.sent,e.abrupt("return",r.length>1?r:r[0]);case 12:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t.getIntermediateTensors=function(){return this.executor.getIntermediateTensors()},t.disposeIntermediateTensors=function(){this.executor.disposeIntermediateTensors()},t.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce((function(t,n){return t[n]=[e[n]],t}),{})},t.dispose=function(){this.executor.dispose(),this.initializer&&(this.initializer.dispose(),this.resourceIdToCapturedInput&&yI(this.resourceIdToCapturedInput)),this.resourceManager.dispose()},Tv(e,[{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}}]),e}();function kV(){return kV=Iv(kv().mark((function e(t,n,r){var a;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===n&&(n={}),void 0===r&&(r=pI),null!=t){e.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==n&&(n={}),n.fromTFHub&&"string"==typeof t&&(t=NV(t)),a=new wV(t,n,r),e.next=9,a.load();case 9:return e.abrupt("return",a);case 10:case"end":return e.stop()}}),e)}))),kV.apply(this,arguments)}function NV(e){return e.endsWith("/")||(e+="/"),e+"model.json?tfjs-format=file"}var IV="4.1.0";function SV(e,t,n,r){if(void 0===n&&(n=new Map),void 0===r&&(r=new Set),null==e)return null;if("function"==typeof Blob&&e instanceof Blob)return e.slice();if(r.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);var a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep map function may not return both a value and recurse=true.");if(a.recurse){if(_V(e)){var i=Array.isArray(e)?[]:{};for(var o in r.add(e),e){var s=SV(e[o],t,n,r);i[o]=s}return r.delete(e),e.__proto__&&(i.__proto__=e.__proto__),i}throw new Error("Can't recurse into non-iterable type: "+e)}return n.set(e,a.value),a.value}function TV(e,t){return void 0===t&&(t=EV),CV(e,t)}function CV(e,t,n){void 0===n&&(n=new Set);var r=e[0];if(n.has(r))throw new Error("Circular references are not supported.");var a=t(e);if(a.recurse&&null!==a.value)throw new Error("A deep zip function may not return both a value and recurse=true.");if(a.recurse){if(_V(r)){var i=Array.isArray(r)?[]:{};n.add(r);var o=function(r){var a=CV(e.map((function(e){return e[r]})),t,n);i[r]=a};for(var s in r)o(s);return n.delete(r),i}throw new Error("Can't recurse into non-iterable type: "+r)}return a.value}function EV(e){return null===e?null:_V(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}function AV(e,t){return RV.apply(this,arguments)}function RV(){return RV=Iv(kv().mark((function e(t,n){var r,a,i,o,s,u,l;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:r=new Map,SV(t,n,r),a=0,i=Array.from(r.keys());case 3:if(!(a<i.length)){e.next=14;break}if(o=i[a],!Cg(s=r.get(o))){e.next=11;break}return e.next=9,s;case 9:u=e.sent,r.set(o,u);case 11:a++,e.next=3;break;case 14:return l=SV(t,n,r),e.abrupt("return",l);case 16:case"end":return e.stop()}}),e)}))),RV.apply(this,arguments)}function _V(e){var t=!1;Fg().get("IS_BROWSER")?t=e instanceof TextDecoder:t=e instanceof require("string_decoder").StringDecoder;return null!=e&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||"object"==typeof e&&!(e instanceof tk)&&!(e instanceof Promise)&&!t)}function OV(e){return function(e,t){return SV(e,t)}(e,FV)}function FV(e){return e instanceof tk?{value:e.clone(),recurse:!1}:_V(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var DV=function(){function e(e){if(this.capacity=e,this.begin=0,this.end=0,null==e)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}var t=e.prototype;return t.wrap=function(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity},t.get=function(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]},t.set=function(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t},t.length=function(){var e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e},t.isFull=function(){return this.length()===this.capacity},t.isEmpty=function(){return 0===this.length()},t.push=function(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)},t.pushAll=function(e){for(var t,n=Lv(e);!(t=n()).done;){var r=t.value;this.push(r)}},t.pop=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);var e=this.get(this.end);return this.set(this.end,void 0),e},t.unshift=function(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)},t.shift=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e},t.shuffleExcise=function(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n},e}(),MV=function(e){function t(){return e.call(this,t.INITIAL_CAPACITY)||this}Cv(t,e);var n=t.prototype;return n.isFull=function(){return!1},n.push=function(t){e.prototype.isFull.call(this)&&this.expand(),e.prototype.push.call(this,t)},n.unshift=function(t){e.prototype.isFull.call(this)&&this.expand(),e.prototype.unshift.call(this,t)},n.expand=function(){for(var e=2*this.capacity,t=new Array(e),n=this.length(),r=0;r<n;r++)t[r]=this.get(this.wrap(this.begin+r));this.data=t,this.capacity=e,this.doubledCapacity=2*this.capacity,this.begin=0,this.end=n},t}(DV);function LV(e){return new UV(e)}function zV(e){return new GV(e)}function PV(e,t){return new eU(e,t)}function BV(e,t){return void 0===t&&(t=WV.FAIL),new tU(e,t)}MV.INITIAL_CAPACITY=32;var WV,VV=function(){function e(){}var t=e.prototype;return t.toArray=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[],e.next=3,this.next();case 3:n=e.sent;case 4:if(n.done){e.next=11;break}return t.push(n.value),e.next=8,this.next();case 8:n=e.sent,e.next=4;break;case 11:return e.abrupt("return",t);case 12:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.toArrayForTest=function(){var e=Iv(kv().mark((function e(){var t,n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=this.prefetch(100),n=[],e.next=4,t.next();case 4:r=e.sent;case 5:if(r.done){e.next=12;break}return n.push(r.value),e.next=9,t.next();case 9:r=e.sent,e.next=5;break;case 12:return e.abrupt("return",n);case 13:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.resolveFully=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:t=e.sent;case 3:if(t.done){e.next=9;break}return e.next=6,this.next();case 6:t=e.sent,e.next=3;break;case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.resolveWhile=function(){var e=Iv(kv().mark((function e(t){var n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:n=e.sent,r=t(n.value);case 4:if(n.done||!r){e.next=11;break}return e.next=7,this.next();case 7:n=e.sent,r=t(n.value),e.next=4;break;case 11:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.handleErrors=function(e){return new JV(this,e)},t.filter=function(e){return new XV(this,e)},t.map=function(e){return new YV(this,e)},t.mapAsync=function(e){return new ZV(this,e)},t.serialMapAsync=function(e){return new ZV(this,e).serial()},t.flatmap=function(e){return new $V(this,e)},t.forEachAsync=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.map(t).resolveFully());case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.serialForEach=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.serialMapAsync(t).resolveWhile((function(e){return!0===e})));case 1:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.rowMajorBatch=function(e,t){return void 0===t&&(t=!0),new KV(this,e,t)},t.columnMajorBatch=function(e,t,n){return void 0===t&&(t=!0),void 0===n&&(n=EV),this.rowMajorBatch(e,t).map((function(e){return TV(e,n)}))},t.concatenate=function(e,t){return new eU(LV([this,e]),t)},t.take=function(e){return e<0||null==e?this:new qV(this,e)},t.skip=function(e){return e<0||null==e?this:new HV(this,e)},t.prefetch=function(e){return new nU(this,e)},t.shuffle=function(e,t){return new rU(this,e,t)},t.serial=function(){return new jV(this)},e}(),UV=function(e){function t(t){var n;return(n=e.call(this)||this).items=t,n.trav=0,n}Cv(t,e);var n=t.prototype;return n.summary=function(){return"Array of "+this.items.length+" items"},n.next=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.trav>=this.items.length)){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return t=this.items[this.trav],this.trav++,e.abrupt("return",{value:OV(t),done:!1});case 5:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),GV=function(e){function t(t){var n;return(n=e.call(this)||this).nextFn=t,n}Cv(t,e);var n=t.prototype;return n.summary=function(){return"Function call"},n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=0,e.abrupt("return",this.nextFn());case 4:throw e.prev=4,e.t0=e.catch(0),e.t0.message="Error thrown while iterating through a dataset: "+e.t0.message,e.t0;case 8:case"end":return e.stop()}}),e,this,[[0,4]])})));return function(){return e.apply(this,arguments)}}(),t}(VV),jV=function(e){function t(t){var n;return(n=e.call(this)||this).upstream=t,n.lastRead=Promise.resolve({value:null,done:!1}),n}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Serial"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.upstream.next());case 1:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),HV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.maxCount=n,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Skip"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.count++<this.maxCount)){e.next=9;break}return e.next=3,this.upstream.next();case 3:if(!(t=e.sent).done){e.next=6;break}return e.abrupt("return",t);case 6:yI(t.value),e.next=0;break;case 9:return e.abrupt("return",this.upstream.next());case 10:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),qV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.maxCount=n,r.count=0,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Take"},n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.count++>=this.maxCount)){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return e.abrupt("return",this.upstream.next());case 3:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),KV=function(e){function t(t,n,r){var a;return void 0===r&&(r=!0),(a=e.call(this)||this).upstream=t,a.batchSize=n,a.enableSmallLastBatch=r,a.lastRead=Promise.resolve({value:null,done:!1}),a}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> RowMajorBatch"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:t=[];case 1:if(!(t.length<this.batchSize)){e.next=12;break}return e.next=4,this.upstream.next();case 4:if(!(n=e.sent).done){e.next=9;break}if(!(this.enableSmallLastBatch&&t.length>0)){e.next=8;break}return e.abrupt("return",{value:t,done:!1});case 8:return e.abrupt("return",{value:null,done:!0});case 9:t.push(n.value),e.next=1;break;case 12:return e.abrupt("return",{value:t,done:!1});case 13:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),XV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.predicate=n,r.lastRead=Promise.resolve({value:null,done:!1}),r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Filter"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=3,this.upstream.next();case 3:if(!(t=e.sent).done&&!this.predicate(t.value)){e.next=6;break}return e.abrupt("return",t);case 6:yI(t.value),e.next=0;break;case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),YV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Map"},n.next=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:for(n=mk(t.value),r=this.transform(t.value),a=mk(r),i=Lv(n);!(o=i()).done;)dk(s=o.value,a)||s.dispose();return e.abrupt("return",{value:r,done:!1});case 10:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),JV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.handler=n,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> handleErrors"},n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=1,e.next=4,this.upstream.next();case 4:return e.abrupt("return",e.sent);case 7:if(e.prev=7,e.t0=e.catch(1),this.handler(e.t0)){e.next=11;break}return e.abrupt("return",{value:null,done:!0});case 11:e.next=0;break;case 13:case"end":return e.stop()}}),e,this,[[1,7]])})));return function(){return e.apply(this,arguments)}}(),t}(VV),ZV=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> AsyncMap"},n.next=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:return n=mk(t.value),e.next=8,this.transform(t.value);case 8:for(r=e.sent,a=mk(r),i=Lv(n);!(o=i()).done;)dk(s=o.value,a)||s.dispose();return e.abrupt("return",{value:r,done:!1});case 12:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),QV=function(e){function t(){var t;return(t=e.call(this)||this).outputQueue=new MV,t.lastRead=Promise.resolve({value:null,done:!1}),t}Cv(t,e);var n=t.prototype;return n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.serialNext=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(0!==this.outputQueue.length()){e.next=7;break}return e.next=3,this.pump();case 3:if(e.sent){e.next=5;break}return e.abrupt("return",{value:null,done:!0});case 5:e.next=0;break;case 7:return e.abrupt("return",{value:this.outputQueue.shift(),done:!1});case 8:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),$V=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.transform=n,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Flatmap"},n.pump=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=5;break}return e.abrupt("return",!1);case 5:for(n=mk(t.value),r=this.transform(t.value),a=mk(r),this.outputQueue.pushAll(r),i=Lv(n);!(o=i()).done;)dk(s=o.value,a)||s.dispose();return e.abrupt("return",!0);case 11:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(QV),eU=function(e){function t(t,n){var r;return(r=e.call(this)||this).baseErrorHandler=n,r.lastRead=null,r.iterator=null,r.moreIterators=t,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return"TODO: fill in upstream of chained summaries -> Chained"},n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.readFromChain(this.lastRead),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.readFromChain=function(){var e=Iv(kv().mark((function e(t){var n,r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,t;case 2:if(null!=this.iterator){e.next=10;break}return e.next=5,this.moreIterators.next();case 5:if(!(n=e.sent).done){e.next=8;break}return e.abrupt("return",{value:null,done:!0});case 8:this.iterator=n.value,null!=this.baseErrorHandler&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler));case 10:return e.next=12,this.iterator.next();case 12:if(!(r=e.sent).done){e.next=16;break}return this.iterator=null,e.abrupt("return",this.readFromChain(t));case 16:return e.abrupt("return",r);case 17:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t}(VV);!function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"}(WV||(WV={}));var tU=function(e){function t(t,n){var r;return void 0===n&&(n=WV.FAIL),(r=e.call(this)||this).iterators=t,r.mismatchMode=n,r.count=0,r.currentPromise=null,r}Cv(t,e);var n=t.prototype;return n.summary=function(){return"{TODO: fill in upstream of zip summaries} -> Zip"},n.nextState=function(){var e=Iv(kv().mark((function e(t){var n,r,a,i;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=function(e){return e instanceof VV?{value:e.next().then((function(e){return n++,e.done&&r++,e.value})),recurse:!1}:{value:null,recurse:!0}},e.next=3,t;case 3:return n=0,r=0,e.next=7,AV(this.iterators,a);case 7:if(i=e.sent,n!==r){e.next=10;break}return e.abrupt("return",{value:null,done:!0});case 10:if(!(r>0)){e.next=16;break}e.t0=this.mismatchMode,e.next=e.t0===WV.FAIL?14:e.t0===WV.SHORTEST?15:(e.t0,WV.LONGEST,16);break;case 14:throw new Error("Zipped streams should have the same length. Mismatched at element "+this.count+".");case 15:return e.abrupt("return",{value:null,done:!0});case 16:return this.count++,e.abrupt("return",{value:i,done:!1});case 18:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.next=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.currentPromise=this.nextState(this.currentPromise),e.abrupt("return",this.currentPromise);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(VV),nU=function(e){function t(t,n){var r;return(r=e.call(this)||this).upstream=t,r.bufferSize=n,r.buffer=new DV(n),r}Cv(t,e);var n=t.prototype;return n.summary=function(){return this.upstream.summary()+" -> Prefetch"},n.refill=function(){for(;!this.buffer.isFull();){var e=this.upstream.next();this.buffer.push(e)}},n.next=function(){return this.refill(),this.buffer.shift()},t}(VV),rU=function(e){function t(t,n,r){var a;return(a=e.call(this,t,n)||this).upstream=t,a.windowSize=n,a.upstreamExhausted=!1,a.random=IE(r||Ww().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}Cv(t,e);var n=t.prototype;return n.next=function(){var e=Iv(kv().mark((function e(){var t=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.lastRead=this.lastRead.then((function(){return t.serialNext()})),e.abrupt("return",this.lastRead);case 2:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.randomInt=function(e){return Math.floor(this.random()*e)},n.chooseIndex=function(){return this.randomInt(this.buffer.length())},n.serialNext=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.upstreamExhausted||this.refill();case 1:if(this.buffer.isEmpty()){e.next=14;break}return t=this.chooseIndex(),e.next=5,this.buffer.shuffleExcise(t);case 5:if(!(n=e.sent).done){e.next=10;break}this.upstreamExhausted=!0,e.next=12;break;case 10:return this.refill(),e.abrupt("return",n);case 12:e.next=1;break;case 14:return e.abrupt("return",{value:null,done:!0});case 15:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t}(nU),aU=function(){function e(){this.size=null}var t=e.prototype;return t.batch=function(e,t){void 0===t&&(t=!0);var n,r=this;return Hv(e>0,(function(){return"batchSize needs to be positive, but it is\n      "+e})),n=this.size===1/0||null==this.size?this.size:t?Math.ceil(this.size/e):Math.floor(this.size/e),iU(Iv(kv().mark((function n(){return kv().wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,r.iterator();case 2:return n.abrupt("return",n.sent.columnMajorBatch(e,t,oU));case 3:case"end":return n.stop()}}),n)}))),n)},t.concatenate=function(e){var t,n=this;return t=this.size===1/0||e.size===1/0?1/0:null!=this.size&&null!=e.size?this.size+e.size:null,iU(Iv(kv().mark((function t(){return kv().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.t0=t.sent,t.next=5,e.iterator();case 5:return t.t1=t.sent,t.abrupt("return",t.t0.concatenate.call(t.t0,t.t1));case 7:case"end":return t.stop()}}),t)}))),t)},t.filter=function(e){var t,n=this;return t=this.size===1/0?1/0:null,iU(Iv(kv().mark((function t(){return kv().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.abrupt("return",t.sent.filter((function(t){return gI((function(){return e(t)}))})));case 3:case"end":return t.stop()}}),t)}))),t)},t.forEachAsync=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.iterator();case 2:return e.abrupt("return",e.sent.forEachAsync(t));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.map=function(e){var t=this;return iU(Iv(kv().mark((function n(){return kv().wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,t.iterator();case 2:return n.abrupt("return",n.sent.map((function(t){return gI((function(){return e(t)}))})));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.mapAsync=function(e){var t=this;return iU(Iv(kv().mark((function n(){return kv().wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,t.iterator();case 2:return n.abrupt("return",n.sent.mapAsync(e));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.prefetch=function(e){if(null==e)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");var t=this;return iU(Iv(kv().mark((function n(){return kv().wrap((function(n){for(;;)switch(n.prev=n.next){case 0:return n.next=2,t.iterator();case 2:return n.abrupt("return",n.sent.prefetch(e));case 3:case"end":return n.stop()}}),n)}))),this.size)},t.repeat=function(e){var t,n=this;return t=null!=this.size&&e>0?this.size*e:0===e?0:null!=this.size&&(void 0===e||e<0)?1/0:null,iU(Iv(kv().mark((function t(){var r;return kv().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return r=zV(Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,n.iterator();case 2:return e.t0=e.sent,e.abrupt("return",{value:e.t0,done:!1});case 4:case"end":return e.stop()}}),e)})))),t.abrupt("return",PV(r.take(e)));case 2:case"end":return t.stop()}}),t)}))),t)},t.skip=function(e){var t,n=this;return t=null!=this.size&&e>=0&&this.size>=e?this.size-e:null!=this.size&&(this.size<e||void 0===e||e<0)?0:null,iU(Iv(kv().mark((function t(){return kv().wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,n.iterator();case 2:return t.abrupt("return",t.sent.skip(e));case 3:case"end":return t.stop()}}),t)}))),t)},t.shuffle=function(e,t,n){if(void 0===n&&(n=!0),null==e||e<0)throw null==this.size?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError("`Dataset.shuffle()` requires bufferSize to be specified.  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fU:if(e.charAt(o)===uU)i=pU}if(i===hU?n.push(e.substring(r,a-1)):n.push(e.substring(r)),t&&n.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. 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At least one type of data should be returned.");return n}Cv(t,e);var n=t.prototype;return n.summary=function(){return"microphone"},t.create=function(){var e=Iv(kv().mark((function e(n){var r;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===n&&(n={}),Fg().get("IS_BROWSER")){e.next=3;break}throw new Error("microphone API is only supported in browser environment.");case 3:return r=new t(n),e.next=6,r.start();case 6:return e.abrupt("return",r);case 7:case"end":return e.stop()}}),e)})));return function(t){return e.apply(this,arguments)}}(),n.start=function(){var e=Iv(kv().mark((function e(){var t,n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=0,e.next=3,navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1});case 3:this.stream=e.sent,e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(0),new Error("Error thrown while initializing video stream: "+e.t0.message);case 9:if(this.stream){e.next=11;break}throw new Error("Could not obtain audio from microphone.");case 11:if(t=window.AudioContext||window.webkitAudioContext,this.audioContext=new t,this.sampleRateHz){e.next=17;break}this.sampleRateHz=this.audioContext.sampleRate,e.next=19;break;case 17:if(this.audioContext.sampleRate===this.sampleRateHz){e.next=19;break}throw new Error("Mismatch in sampling rate: Expected: "+this.sampleRateHz+"; 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Please provide 'user' or 'environment'"})),e.prev=1,e.next=4,navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}});case 4:this.stream=e.sent,e.next=11;break;case 7:throw e.prev=7,e.t0=e.catch(1),e.t0.message="Error thrown while initializing video stream: "+e.t0.message,e.t0;case 11:if(this.stream){e.next=13;break}throw new Error("Could not obtain video from webcam.");case 13:try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,e.abrupt("return",new Promise((function(e){t.webcamVideoElement.onloadedmetadata=function(){e()}})));case 17:case"end":return e.stop()}}),e,this,[[1,7]])})));return function(){return e.apply(this,arguments)}}(),n.next=function(){var e=Iv(kv().mark((function e(){var t;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:e.prev=2,t=PI(this.webcamVideoElement),e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(2),new Error("Error thrown converting video to pixels: "+JSON.stringify(e.t0));case 9:if(!this.resize){e.next=22;break}return e.prev=10,e.abrupt("return",{value:this.cropAndResizeFrame(t),done:!1});case 14:throw e.prev=14,e.t1=e.catch(10),new Error("Error thrown cropping the video: "+e.t1.message);case 17:return e.prev=17,t.dispose(),e.finish(17);case 20:e.next=23;break;case 22:return e.abrupt("return",{value:t,done:!1});case 23:case"end":return e.stop()}}),e,this,[[2,6],[10,14,17,20]])})));return function(){return e.apply(this,arguments)}}(),n.needToResize=function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)},n.cropAndResizeFrame=function(e){var t=this;return gI((function(){var n,r=uC(GN(e,"float32"),0),a=(n=YR.cropAndResize(r,t.cropBox,t.cropBoxInd,t.cropSize,"bilinear")).shape;return JS(n,a.slice(1))}))},n.capture=function(){var e=Iv(kv().mark((function e(){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.stop=function(){this.stream.getTracks().forEach((function(e){return e.stop()}));try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0},n.toArray=function(){throw new Error("Can not 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BG=iG((function(e){return Math.log(e)})),WG=sG(ob,BG),VG={kernelName:ob,backendName:"cpu",kernelFunc:WG};function UG(e,t,n,r){for(var a=ag(r,Yv(n)),i=0;i<a.length;++i){for(var o=i*t,s=e[o],u=0;u<t;++u){var l=e[o+u];(Number.isNaN(l)||l>s)&&(s=l)}a[i]=s}return a}var GG=WU((function(e,t){return Math.max(e,t)})),jG=ZU(mb,GG),HG={kernelName:mb,backendName:"cpu",kernelFunc:jG},qG=WU((function(e,t){return Math.min(e,t)})),KG=ZU(Nb,qG),XG={kernelName:Nb,backendName:"cpu",kernelFunc:KG},YG=WU((function(e,t){return e*t})),JG=QU((function(e,t,n,r){return{real:e*n-t*r,imag:e*r+t*n}})),ZG=ZU(Cb,YG,JG),QG={kernelName:Cb,backendName:"cpu",kernelFunc:ZG};function $G(e,t,n){var r=Pw(-1,n);return YG([],t,r,e,n)}var ej={kernelName:Eb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x;MU(r,"neg");var a=$G(n.data.get(r.dataId).values,r.shape,r.dtype),i=a[0],o=a[1];return n.makeTensorInfo(o,r.dtype,i)}},tj=WU((function(e,t){return e!==t?1:0})),nj=ZU(Ab,tj,null,"bool"),rj={kernelName:Ab,backendName:"cpu",kernelFunc:nj};function aj(e,t,n,r,a){for(var i=t.length,o=Yv(t),s=yg(t),u=yg(a),l=ag(n,Yv(a)),c=0;c<o;++c){for(var p=Tg(c,i,s),h=new Array(p.length),f=0;f<h.length;f++)h[f]=p[r[f]];l[Sg(h,i,u)]=e[c]}return l}function ij(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.perm;MU(a,"transpose");for(var o=a.shape.length,s=new Array(o),u=0;u<s.length;u++)s[u]=a.shape[i[u]];var l=aj(r.data.get(a.dataId).values,a.shape,a.dtype,i,s);return{dataId:r.write(l,s,a.dtype),shape:s,dtype:a.dtype}}var oj={kernelName:Dx,backendName:"cpu",kernelFunc:ij};function sj(e,t,n,r){for(var a=HT(e,r),i=a[0],o=a[1],s=ck(t,"int32"),u=kg(Yv(i),s),l=Yv(o),c=0;c<u.length;++c){for(var p=c*l,h=1,f=0;f<l;++f)h*=n[p+f];u[c]=h}return{outVals:u,outShape:i,outDtype:s}}var uj={kernelName:Bb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;MU(a,"prod");var s=a.shape.length,u=ng(i,a.shape),l=XT(u,s),c=u,p=a,h=[];null!=l&&(p=ij({inputs:{x:a},backend:n,attrs:{perm:l}}),h.push(p),c=JT(c.length,s));var f=n.data.get(p.dataId).values,d=sj(p.shape,p.dtype,f,c),m=d.outVals,v=d.outShape,g=d.outDtype,y=v;return o&&(y=qT(v,u)),h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(y,g,m)}};function lj(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,l=0;l<t.length-1;++l){u*=t[l];for(var c=t[l+1],p=1;p<u+1;++p)s[l].push(p*c)}for(var h=0;h<e.length;++h){for(var f=e[h],d=e[h]+1,m=0;m<n.length;++m){var v=n[m],g=m+t.length-1;if(g>=0)for(var y=s[g],b=y[y.length-1]-v[f],x=f;x<d;++x)s[g].push(v[x+1]+b);f=v[f],d=v[d]}d!==f&&(a.push([f,d]),i+=d-f)}return{outSplits:s,valueSlices:a,numValues:i}}function cj(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 pj(e,t,n,r,a){var i=t.slice();i[0]=a;var o=ig(n,Yv(i)),s=e.length;return function(e,t,n,r,a,i){for(var o,s=cj(t,2)[1],u=cj(i,2)[1],l=0,c=Lv(n);!(o=c()).done;)for(var p=o.value,h=p[0];h<p[1];++h){for(var f=0;f<r;++f)a[l*u+f]=e[h*s+f];++l}}(e,t,r,0===s?0:s/t[0],o,i),[o,i]}function hj(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=Tg(r,t.length,yg(t)).join(",");throw new Error("indices["+a+"] = "+e+" is not in [0, "+n+")")}}))}(i,o,t[0][0]-1),0===r.length)throw new Error("params.rank must be nonzero");var u=lj(i,o,e,r[0]),l=u.outSplits,c=u.valueSlices,p=u.numValues,h=function(e){for(var t=[],n=function(n){var r=ig("int32",e[n].length);t.push(r),e[n].forEach((function(e,t){return r[t]=e}))},r=0;r<e.length;++r)n(r);return t}(l),f=pj(n,r,a,c,p);return[h,f[0],f[1]]}var fj=2147483647;function dj(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,l=0===o.length,c=[];s||c.push(t[0]),u||c.push(a[0]),l||c.push(o[0]);for(var p=1;p<c.length;++p)if(c[p]!==c[p-1])throw new Error("starts, limits, and deltas must have the same shape");var h=0===c.length?1:c[0],f=ig("int32",h+1);f[0]=0;for(var d=0;d<h;++d){var m=s?e[0]:e[d],v=u?r[0]:r[d],g=l?i[0]:i[d];if(0===g)throw new Error("Requires delta != 0");var y=void 0;if(g>0&&v<m||g<0&&v>m)y=0;else if((y=Math.ceil(Math.abs((v-m)/g)))>fj)throw new Error("Requires ((limit - start) / delta) <= 2147483647");f[d+1]=f[d]+y}for(var b=ig(n,f[h]),x=0,w=0;w<h;++w)for(var k=f[w+1]-f[w],N=s?e[0]:e[w],I=l?i[0]:i[w],S=0;S<k;++S)b[x++]=N,N+=I;return[f,b]}var mj=u_,vj=function(){function e(e,t,n,r,a,i,o,s,u,l){this.shape=e,this.shapeShape=t,this.values=n,this.valuesShape=r,this.valuesDType=a,this.defaultValue=i,this.defaultValueShape=o,this.rowPartitionValues=s,this.rowPartitionValuesShapes=u,this.rowPartitionTypes=v_(l),this.raggedRank=g_(this.rowPartitionTypes)}var t=e.prototype;return t.getRowPartitionTypeByDimension=function(e){return this.rowPartitionTypes[0]===mj.FIRST_DIM_SIZE?this.rowPartitionTypes[e+1]:this.rowPartitionTypes[e]},t.getRowPartitionTensor=function(e){return this.rowPartitionTypes[0]===mj.FIRST_DIM_SIZE?this.rowPartitionValues[e+1]:this.rowPartitionValues[e]},t.getMaxWidth=function(t){var n=this.getRowPartitionTensor(t-1);switch(this.getRowPartitionTypeByDimension(t-1)){case mj.VALUE_ROWIDS:return e.getMaxWidthValueRowID(n);case mj.ROW_SPLITS:return e.getMaxWidthRowSplit(n);default:throw new Error("Cannot handle partition type "+mj[this.getRowPartitionTypeByDimension(t-1)])}},e.getMaxWidthRowSplit=function(e){var t=e.length;if(0===t||1===t)return 0;for(var n=0,r=0;r<t-1;++r){var a=e[r+1]-e[r];a>n&&(n=a)}return n},e.getMaxWidthValueRowID=function(e){var t=e.length;if(0===t)return 0;for(var n=0,r=e[0],a=0,i=1;i<t;++i){var o=e[i];o!==r&&(r=o,a=Math.max(i-n,a),n=i)}return Math.max(t-n,a)},t.tensorShapeFromTensor=function(e,t,n){if(void 0===n&&(n=!0),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 yj(e,n)},t.calculateOutputSize=function(e){var t=this.valuesShape;y_(this.defaultValueShape,t);var n=this.tensorShapeFromTensor(this.shape,this.shapeShape),r=m_(this.raggedRank,n,t);r[0]<0&&(r[0]=e);for(var a=1;a<=this.raggedRank;++a)r[a]<0&&(r[a]=this.getMaxWidth(a));return r},t.calculateFirstParentOutputIndex=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 Hv(a.length===e,(function(){return"Final length of result must be equal to firstDimension."})),a},t.calculateOutputIndexRowSplit=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),l=t[o];-1===l&&(u=0);for(var c=0;c<u;++c)i.push(l),l+=n;for(var p=0;p<s-u;++p)i.push(-1)}if(a>0&&i.length!==e[a-1])throw new Error("Invalid row split size.");return i},t.calculateOutputIndexValueRowID=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="+s+", which is not less than "+t.length);var u=t[s];i.push(u);for(var l=1;l<a;++l){var c=e[l];if(c===s)u>=0&&(++o<r?u+=n:u=-1);else{if(o=0,s=c,c>=t.length)throw new Error("Got nextValueRowId="+c+" which is not less than "+t.length);u=t[c]}i.push(u)}if(i.length!==e.length)throw new Error("Invalid row ids.");return i},t.calculateOutputIndex=function(e,t,n,r){var a=this.getRowPartitionTensor(e),i=this.getRowPartitionTypeByDimension(e);switch(i){case mj.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(a,t,n,r);case mj.ROW_SPLITS:if(a.length-1>t.length)throw new Error("Row partition size is greater than output size: "+(a.length-1)+" > "+t.length);return this.calculateOutputIndexRowSplit(a,t,n,r);default:throw new Error("Unsupported partition type: "+mj[i])}},t.getFirstDimensionSize=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 mj.FIRST_DIM_SIZE:return e[0];case mj.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first 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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=yj(t,!1),i=ig(this.valuesDType,Yv(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]},t.setOutput=function(e,t,n,r){if(0!==n.length){var a=this.values,i=n,o=r.slice(),s=Yv(o=o.slice(e+1)),u=t.length,l=this.defaultValue;if(l.length!==s&&1!==l.length){var c=this.defaultValueShape;gI((function(){var e=JS(l,c),t=pT(e,o);l=t.dataSync()}))}for(var p=0,h=0,f=0,d=0;d<=u;++d){var m=d<u?t[d]:-1;if(m!==f){if(h<f){var v=a.subarray(p*s);gj(i.subarray(h*s),v,(f-h)*s)}if(d>=u){var g=n.length;m=Math.floor(g/s)}if(m>f)if(1===this.defaultValue.length)i.subarray(f*s,m*s).fill(this.defaultValue[0]),f=m;else 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Qw(h.outShape,a.dtype),w=yg(a.shape),k=yg(i.shape),N=w[0],I=b?w[1]:w[2],S=b?w[2]:1,T=b?1:w[1],C=x.strides[0],E=b?x.strides[1]:x.strides[2],A=b?x.strides[2]:1,R=b?1:x.strides[1],_=n.data.get(a.dataId).values,O=n.data.get(i.dataId).values,F=x.values,D=0;D<h.batchSize;++D)for(var M=D*N,L=D*C,z=0;z<h.outHeight;++z)for(var P=L+z*E,B=z*h.strideHeight-y,W=0;W<f;++W){var V=B+W*m;if(!(V<0||V>=h.inHeight))for(var U=W*k[0],G=M+V*I,j=0;j<h.outWidth;++j)for(var H=P+j*A,q=j*h.strideWidth-g,K=0;K<d;++K){var X=q+K*v;if(!(X<0||X>=h.inWidth))for(var Y=G+X*S,J=U+K*k[1],Z=0;Z<h.inChannels;++Z){for(var Q=_[Y+Z*T],$=0;$<h.outChannels;++$)F[H+$*R]+=Q*O[J+$];J+=h.outChannels}}}return n.makeTensorInfo(x.shape,x.dtype,F)}var rq={kernelName:py,backendName:"cpu",kernelFunc:nq};var aq={kernelName:hy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,l=r.dimRoundingMode,c=r.filterShape;MU([a,i],"conv2dBackpropFilter");for(var p=XS(u),h=BS(a.shape,c,o,1,s,l,!1,p),f=h.strideHeight,d=h.strideWidth,m=h.filterHeight,v=h.filterWidth,g="channelsLast"===h.dataFormat,y=new Qw(h.filterShape,"float32"),b=h.padInfo.left,x=h.padInfo.top,w=n.data.get(a.dataId).values,k=n.data.get(i.dataId).values,N=new Qw(a.shape,a.dtype,w),I=new Qw(i.shape,i.dtype,k),S=0;S<m;++S)for(var T=Math.max(0,Math.ceil((x-S)/f)),C=Math.min(h.outHeight,(h.inHeight+x-S)/f),E=0;E<v;++E)for(var A=Math.max(0,Math.ceil((b-E)/d)),R=Math.min(h.outWidth,(h.inWidth+b-E)/d),_=0;_<h.inChannels;++_)for(var O=0;O<h.outChannels;++O){for(var F=0,D=0;D<h.batchSize;++D)for(var M=T;M<C;++M)for(var L=S+M*f-x,z=A;z<R;++z){var P=E+z*d-b;F+=g?N.get(D,L,P,_)*I.get(D,M,z,O):N.get(D,_,L,P)*I.get(D,O,M,z)}y.set(F,S,E,_,O)}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var iq={kernelName:fy,backendName:"cpu",kernelFunc:function(e){var 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V=D+B*S[1],U=M+W*I[2],G=0;G<l.outWidth;++G)for(var j=z+G*l.outChannels,H=G*l.strideWidth-y,q=0;q<h;++q){var K=H+q*m;if(!(K<0||K>=l.inWidth))for(var X=V+q*S[2],Y=U+K*l.inChannels,J=X,Z=0;Z<l.inChannels;++Z){for(var Q=w[Y+Z],$=0;$<l.outChannels;++$)N[j+$]+=Q*k[J+$];J+=l.outChannels}}}}return n.makeTensorInfo(x.shape,x.dtype,x.values)}};var sq={kernelName:my,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;MU([a,i],"conv3dBackpropFilterV2");for(var l=yg(a.shape),c=yg(i.shape),p=WS(a.shape,u,o,1,s),h=p.strideDepth,f=p.strideHeight,d=p.strideWidth,m=p.filterDepth,v=p.filterHeight,g=p.filterWidth,y=new Qw(p.filterShape,"float32"),b=y.values,x=y.strides,w=x[0],k=x[1],N=x[2],I=x[3],S=n.data.get(i.dataId).values,T=c[0],C=c[1],E=c[2],A=c[3],R=n.data.get(a.dataId).values,_=l[0],O=l[1],F=l[2],D=l[3],M=p.padInfo.front,L=p.padInfo.left,z=p.padInfo.top,P=0;P<m;++P)for(var B=Math.max(0,Math.ceil((M-P)/h)),W=Math.min(p.outDepth,(p.inDepth+M-P)/h),V=P*w,U=0;U<v;++U)for(var G=Math.max(0,Math.ceil((z-U)/f)),j=Math.min(p.outHeight,(p.inHeight+z-U)/f),H=U*k+V,q=0;q<g;++q)for(var K=Math.max(0,Math.ceil((L-q)/d)),X=Math.min(p.outWidth,(p.inWidth+L-q)/d),Y=q*N+H,J=0;J<p.inChannels;++J)for(var Z=J*I+Y,Q=0;Q<p.outChannels;++Q){for(var $=0,ee=0;ee<p.batchSize;++ee)for(var te=ee*_,ne=ee*T,re=B;re<W;++re)for(var ae=(P+re*h-M)*O+te,ie=re*C+ne,oe=G;oe<j;++oe)for(var se=(U+oe*f-z)*F+ae,ue=oe*E+ie,le=K;le<X;++le){var ce=le*A+ue;$+=R[(q+le*d-L)*D+se+J]*S[ce+Q]}b[Z+Q]=$}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var uq={kernelName:vy,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=r.inputShape;MU([a],"conv3dBackpropInputV2");for(var l=yg(a.shape),c=yg(i.shape),p=WS(u,i.shape,s,1,o),h=new Qw(p.inShape,"float32"),f=h.values,d=h.strides,m=d[0],v=d[1],g=d[2],y=d[3],b=n.data.get(a.dataId).values,x=l[0],w=l[1],k=l[2],N=l[3],I=n.data.get(i.dataId).values,S=c[0],T=c[1],C=c[2],E=c[3],A=p.batchSize,R=p.filterDepth,_=p.filterHeight,O=p.filterWidth,F=p.inChannels,D=p.inDepth,M=p.inHeight,L=p.inWidth,z=p.outChannels,P=p.outDepth,B=p.outHeight,W=p.outWidth,V=p.strideDepth,U=p.strideHeight,G=p.strideWidth,j=R-1-p.padInfo.front,H=_-1-p.padInfo.top,q=O-1-p.padInfo.left,K=0;K<A;++K)for(var X=0;X<F;++X)for(var Y=0;Y<D;++Y)for(var J=Y-j,Z=Math.max(0,Math.ceil(J/V)),Q=Math.min(P,(R+J)/V),$=0;$<M;++$)for(var ee=$-H,te=Math.max(0,Math.ceil(ee/U)),ne=Math.min(B,(_+ee)/U),re=0;re<L;++re){for(var ae=re-q,ie=Math.max(0,Math.ceil(ae/G)),oe=Math.min(W,(O+ae)/G),se=0,ue=Z;ue<Q;++ue)for(var le=ue*V-J,ce=te;ce<ne;++ce)for(var pe=ce*U-ee,he=ie;he<oe;++he)for(var fe=x*K+w*ue+k*ce+N*he,de=S*(R-1-le)+T*(_-1-pe)+C*(O-1-(he*G-ae))+E*X,me=0;me<z;++me){se+=b[fe+me]*I[de+me]}f[m*K+v*Y+g*$+y*re+X]=se}return n.makeTensorInfo(h.shape,h.dtype,h.values)}},lq=oG(gy,(function(e){return Math.cos(e)})),cq={kernelName:gy,backendName:"cpu",kernelFunc:lq},pq=oG(yy,(function(e){return Math.cosh(e)})),hq={kernelName:yy,backendName:"cpu",kernelFunc:pq};var fq={kernelName:wy,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,l=r.extrapolationValue,c=a.shape,p=c[0],h=c[1],f=c[2],d=c[3],m=i.shape[0],v=s[0],g=s[1],y=UN([m,v,g,d],"float32"),b=n.data.get(i.dataId).values,x=n.data.get(o.dataId).values,w=n.data.get(a.dataId).values,k=yg(a.shape),N=yg(y.shape),I=0;I<m;I++){var S=4*I,T=b[S],C=b[S+1],E=b[S+2],A=b[S+3],R=x[I];if(!(R>=p))for(var _=v>1?(E-T)*(h-1)/(v-1):0,O=g>1?(A-C)*(f-1)/(g-1):0,F=0;F<v;F++){var D=v>1?T*(h-1)+F*_:.5*(T+E)*(h-1);if(D<0||D>h-1)for(var M=0;M<g;M++)for(var L=0;L<d;L++){var z=L+M*N[2]+F*N[1]+I*N[0];y.values[z]=l}else if("bilinear"===u)for(var P=Math.floor(D),B=Math.ceil(D),W=D-P,V=0;V<g;V++){var U=g>1?C*(f-1)+V*O:.5*(C+A)*(f-1);if(U<0||U>f-1)for(var G=0;G<d;G++){var j=G+V*N[2]+F*N[1]+I*N[0];y.values[j]=l}else for(var H=Math.floor(U),q=Math.ceil(U),K=U-H,X=0;X<d;X++){var Y=X+H*k[2]+P*k[1]+R*k[0],J=w[Y],Z=w[Y=X+q*k[2]+P*k[1]+R*k[0]],Q=w[Y=X+H*k[2]+B*k[1]+R*k[0]],$=J+(Z-J)*K,ee=Q+(w[Y=X+q*k[2]+B*k[1]+R*k[0]]-Q)*K;Y=X+V*N[2]+F*N[1]+I*N[0],y.values[Y]=$+(ee-$)*W}}else for(var te=0;te<g;++te){var ne=g>1?C*(f-1)+te*O:.5*(C+A)*(f-1);if(ne<0||ne>f-1)for(var re=0;re<d;re++){var ae=re+te*N[2]+F*N[1]+I*N[0];y.values[ae]=l}else for(var ie=Math.round(ne),oe=Math.round(D),se=0;se<d;se++){var ue=se+ie*k[2]+oe*k[1]+R*k[0],le=se+te*N[2]+F*N[1]+I*N[0];y.values[le]=w[ue]}}}}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var dq={kernelName:by,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;MU(a,"cumprod");var u=XT([i],a.shape.length),l=a;null!=u&&(l=ij({inputs:{x:a},backend:n,attrs:{perm:u}}));var c=JT(1,a.shape.length)[0];if(c!==l.shape.length-1)throw new Error("backend.cumprod in CPU expects an inner-most axis="+(l.shape.length-1)+" but got axis="+c);for(var p=ck(l.dtype,"int32"),h=wg(Yv(l.shape),p),f=n.data.get(l.dataId).values,d=l.shape[l.shape.length-1],m=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},v=0;v<f.length;v+=d)for(var g=0;g<d;g++){var y=m(v,g);if(0===g)h[y]=o?1:f[y];else{var b=m(v,g-1);h[y]=o?f[b]*h[b]:f[y]*h[b]}}var x=n.makeTensorInfo(l.shape,p,h);if(null!=u){var w=ij({inputs:{x:x},backend:n,attrs:{perm:YT(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(l),w}return x}};var mq={kernelName:xy,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;MU(a,"cumsum");var u=XT([i],a.shape.length),l=a;null!=u&&(l=ij({inputs:{x:a},backend:n,attrs:{perm:u}}));var c=JT(1,a.shape.length)[0];if(c!==l.shape.length-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(l.shape.length-1)+" but got axis="+c);for(var p=ck(l.dtype,"int32"),h=kg(Yv(l.shape),p),f=n.data.get(l.dataId).values,d=l.shape[l.shape.length-1],m=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},v=0;v<f.length;v+=d)for(var g=0;g<d;g++){var y=m(v,g);if(0===g)h[y]=o?0:f[y];else{var b=m(v,g-1);h[y]=o?f[b]+h[b]:f[y]+h[b]}}var x=n.makeTensorInfo(l.shape,p,h);if(null!=u){var w=ij({inputs:{x:x},backend:n,attrs:{perm:YT(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(l),w}return x}};var vq={kernelName:ky,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=rG(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 l=aG(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(l.shape,i.dtype,l.values)}throw new Error("Error in denseBincount: input 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Got "+o}));for(var s=a.shape[0],u=a.shape[1],l=a.shape[2],c=a.shape[3],p=u*i,h=l*i,f=c/(i*i),d=n.data.get(a.dataId).values,m=new Float32Array(s*p*h*f),v=0,g=0;g<s;++g)for(var y=0;y<p;++y)for(var b=Math.floor(y/i),x=y%i,w=0;w<h;++w)for(var k=Math.floor(w/i),N=(x*i+w%i)*f,I=0;I<f;++I){var S=I+N+c*(k+l*(b+u*g));m[v++]=d[S]}return n.makeTensorInfo([s,p,h,f],a.dtype,m)}};function yq(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,l=r.dimRoundingMode;MU([a,i],"depthwiseConv2DNative");var c=yg(a.shape),p=yg(i.shape),h=u;null==h&&(h=[1,1]),Hv(KS(o,h),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+h+"'"}));for(var f=BS(a.shape,i.shape,o,h,s,l,!0),d=f.filterHeight,m=f.filterWidth,v=f.dilationHeight,g=f.dilationWidth,y=f.padInfo,b=y.left,x=y.top,w=f.outChannels/f.inChannels,k=new Qw(f.outShape,a.dtype),N=n.data.get(a.dataId).values,I=n.data.get(i.dataId).values,S=k.values,T=0;T<f.batchSize;++T)for(var C=T*c[0],E=T*k.strides[0],A=0;A<f.outHeight;++A)for(var R=E+A*k.strides[1],_=A*f.strideHeight-x,O=0;O<d;++O){var F=_+O*v;if(!(F<0||F>=f.inHeight))for(var D=O*p[0],M=C+F*c[1],L=0;L<f.outWidth;++L)for(var z=R+L*k.strides[2],P=L*f.strideWidth-b,B=0;B<m;++B){var W=P+B*g;if(!(W<0||W>=f.inWidth))for(var V=D+B*p[1],U=M+W*f.inChannels,G=z,j=V,H=0;H<f.inChannels;++H){for(var q=N[U+H],K=0;K<w;++K)S[G+K]+=q*I[j+K];G+=w,j+=w}}}return n.makeTensorInfo(k.shape,k.dtype,k.values)}var bq={kernelName:Iy,backendName:"cpu",kernelFunc:yq};var xq={kernelName:Sy,backendName:"cpu",kernelFunc:function(e){var 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n=UN(t.outShape,"int32"),r=t.strideDepth,a=t.strideHeight,i=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,h=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left,m=0;m<t.batchSize;++m)for(var v=0;v<t.inChannels;++v)for(var g=0;g<t.outDepth;++g){for(var y=g*r-h,b=y;b<0;)b+=o;for(var x=Math.min(t.inDepth,l+y),w=0;w<t.outHeight;++w){for(var k=w*a-f,N=k;N<0;)N+=s;for(var I=Math.min(t.inHeight,c+k),S=0;S<t.outWidth;++S){for(var T=S*i-d,C=T;C<0;)C+=u;for(var E=Math.min(t.inWidth,p+T),A=Number.NEGATIVE_INFINITY,R=-1,_=b;_<x;_+=o)for(var O=_-y,F=N;F<I;F+=s)for(var D=F-k,M=C;M<E;M+=u){var L=M-T,z=e.get(m,_,F,M,v);z>=A&&(A=z,R=O*c*p+D*c+L)}n.set(R,m,g,w,S,v)}}}return 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t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.filterSize,o=n.strides,s=n.pad,u=n.includeBatchInIndex,l=r;MU(a,"MaxPoolWithArgmax");var c=l.data.get(a.dataId).values,p=zS(a.shape,i,o,[1,1],s),h=function(e,t,n,r,a){var i=PH(e,0,n,yg(t),a,"max"),o=BH(e,t,n,a,!0,r);return[i.values,o.values]}(c,a.shape,a.dtype,u,p),f=h[0],d=h[1],m=l.write(f,p.outShape,a.dtype),v=l.write(d,p.outShape,a.dtype);return[{dataId:m,shape:p.outShape,dtype:a.dtype},{dataId:v,shape:p.outShape,dtype:"int32"}]}};var IK={kernelName:wb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=ng(i,a.shape),u=Yv(HT(a.shape,s)[1]),l=[],c=n.makeTensorInfo([],"float32",new Float32Array([u]));l.push(c);var p=YU({inputs:{x:a},backend:n,attrs:{dtype:"float32"}});l.push(p);var h=Mq({inputs:{a:p,b:c},backend:n});l.push(h);var f=Tq({inputs:{x:h},backend:n,attrs:{axis:i,keepDims:o}});return l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),f}};var SK={kernelName:kb,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;MU(a,"min");var s=ng(i,a.shape),u=s,l=XT(u,a.shape.length),c=a;null!=l&&(c=ij({inputs:{x:a},backend:n,attrs:{perm:l}}),u=JT(u.length,a.shape.length)),KT("min",u,c.shape.length);for(var p=HT(c.shape,u),h=p[0],f=Yv(p[1]),d=kg(Yv(h),c.dtype),m=n.data.get(c.dataId).values,v=0;v<d.length;++v){for(var g=v*f,y=m[g],b=0;b<f;++b){var x=m[g+b];(Number.isNaN(x)||x<y)&&(y=x)}d[v]=y}null!=l&&n.disposeIntermediateTensorInfo(c);var w=n.makeTensorInfo(h,c.dtype,d);if(o){var k=fH({inputs:{x:w},backend:n,attrs:{shape:qT(h,s)}});return n.disposeIntermediateTensorInfo(w),k}return w}};var TK={kernelName:Ib,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.mode;MU(a,"mirrorPad");for(var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]})),u=i.map((function(e){return e[0]})),l=i.map((function(e,t){return e[0]+a.shape[t]})),c="reflect"===o?0:1,p=n.data.get(a.dataId).values,h=a.shape.length,f=yg(a.shape),d=Yv(s),m=s.length,v=yg(s),g=ag(a.dtype,d),y=0;y<d;y++){for(var b=Tg(y,m,v),x=0;x<m;x++)b[x]<u[x]?b[x]=2*u[x]-b[x]-c:b[x]>=l[x]&&(b[x]=2*(l[x]-1)-b[x]+c);b=b.map((function(e,t){return e-u[t]}));var w=Sg(b,h,f);g[y]=p[w]}return{dataId:n.write(g,s,a.dtype),shape:s,dtype:a.dtype}}},CK=WU((function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})),EK=ZU(Sb,CK),AK={kernelName:Sb,backendName:"cpu",kernelFunc:EK};function RK(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=r.dim,o=a.shape.length,s=i;if(-1===s&&(s=o-1),s!==o-1)throw Error("Softmax along a non-last dimension is not yet supported. 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u=s?a:RK({inputs:{logits:a},backend:n,attrs:{dim:-1}}),l=u.shape[0],c=u.shape[1],p=n.data.get(u.dataId).values,h=[l,i],f=kg(Yv(h),"int32"),d=0;d<l;++d){var m=d*c,v=new Float32Array(c-1);v[0]=p[m];for(var g=1;g<v.length;++g)v[g]=v[g-1]+p[m+g];for(var y=IE(o.toString()),b=d*i,x=0;x<i;++x){var w=y();f[b+x]=v.length;for(var k=0;k<v.length;k++)if(w<v[k]){f[b+x]=k;break}}}return s||n.disposeIntermediateTensorInfo(u),n.makeTensorInfo(h,"int32",f)}},FK=sR;var DK={kernelName:Rb,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;MU(a,"NonMaxSuppression");var l=n.data.get(a.dataId).values,c=n.data.get(i.dataId).values,p=FK(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},MK=uR;var LK={kernelName:_b,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,l=r.padToMaxOutputSize;MU(a,"NonMaxSuppressionPadded");var c=n.data.get(a.dataId).values,p=n.data.get(i.dataId).values,h=MK(c,p,o,s,u,l),f=h.selectedIndices,d=h.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},zK=lR;var PK={kernelName:Ob,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,l=r.softNmsSigma;MU(a,"NonMaxSuppressionWithScore");var c=n.data.get(a.dataId).values,p=n.data.get(i.dataId).values,h=zK(c,p,o,s,u,l),f=h.selectedIndices,d=h.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}};var BK={kernelName:Db,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;MU(a,"oneHot");var l=Yv(a.shape),c=new Float32Array(l*o);c.fill(u);for(var p=n.data.get(a.dataId).values,h=0;h<l;++h)p[h]>=0&&p[h]<o&&(c[h*o+p[h]]=s);return n.makeTensorInfo([].concat(a.shape,[o]),i,c)}};function WK(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=qU({inputs:{input:r},backend:n}),i=WK({inputs:{x:a},backend:n}),o=QH({inputs:{input:r},backend:n}),s=WK({inputs:{x:o},backend:n}),u=VU({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return Vq({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var VK={kernelName:Px,backendName:"cpu",kernelFunc:WK};var UK={kernelName:Fb,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=qU({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=QH({inputs:{input:a},backend:r}),u=WK({inputs:{x:s},backend:r}),l=VU({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}return Vq({backend:r,attrs:{shape:a.shape,value:1,dtype:a.dtype}})}};function GK(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return Oq({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){qv(a,e.shape,"All tensors passed to stack must have matching shapes"),Hv(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=eq({inputs:t.map((function(e){var t=Oq({inputs:{input:e},backend:n,attrs:{dim:r}});return 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hX={kernelName:rx,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.sortedSequence,i=t.values,o=r.side,s=function(e,t,n,r,a,i){for(var o=ig("int32",n*a),s=0;s<n;++s)for(var u=e.slice(s*r,(s+1)*r),l=s*a,c=0;c<a;++c)o[l+c]="left"===i?cX(u,t[c+l]):pX(u,t[c+l]);return o}(n.data.get(a.dataId).values,n.data.get(i.dataId).values,a.shape[0],a.shape[1],i.shape[1],o);return n.makeTensorInfo(i.shape,"int32",s)}};var fX={kernelName:ax,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.condition,a=t.t,i=t.e;MU([r,a,i],"select");for(var o=r.shape.length,s=n.data.get(r.dataId).values,u=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,c=ck(a.dtype,i.dtype),p=kg(Yv(a.shape),c),h=0,f=0===o||o>1||1===a.shape.length?1:Yv(a.shape.slice(1)),d=0;d<s.length;d++)for(var m=0;m<f;m++)1===s[d]?p[h++]=u[d]:p[h++]=l[d];return n.makeTensorInfo(a.shape,c,p)}},dX=oG(ix,(function(e){return 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c=HK.kernelFunc({inputs:{x:a},backend:n,attrs:{paddings:u,constantValue:0}}),p=w_(c.shape,i,s,!1),h=k_(p.length,i.length,!1),f=N_(c.shape,i,s,!1),d=fH({inputs:{x:c},backend:n,attrs:{shape:p}}),m=ij({inputs:{x:d},backend:n,attrs:{perm:h}}),v=fH({inputs:{x:m},backend:n,attrs:{shape:f}});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),v}};var TX={kernelName:gx,backendName:"cpu",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        "+i.shape);if(2!==r.shape.length)throw new Error("Indices must be a matrix, saw:\n        "+r.shape);if(1!==a.shape.length)throw new Error("Values must be a vector, saw:\n        "+a.shape);if(0!==o.shape.length)throw new Error("Default value must be a scalar, saw:\n        "+o.shape);var s=n.data.get(r.dataId).values,u=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,c=n.data.get(o.dataId).values[0],p=_j(s,r.shape,r.dtype,u,a.dtype,l,c),h=p[0],f=p[1],d=p[2],m=p[3],v=p[4];return[n.makeTensorInfo(f,r.dtype,h),n.makeTensorInfo([f[0]],a.dtype,d),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map((function(e){return Number(e)})))),n.makeTensorInfo([v.length],r.dtype,new Int32Array(v))]}};var CX={kernelName:yx,backendName:"cpu",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\n        "+r.shape);if(1!==a.shape.length)throw new Error("Input shape should be a vector but received shape\n        "+a.shape);if(1!==i.shape.length)throw new Error("Target shape should be a vector but received shape "+i.shape);var o=Array.from(n.data.get(a.dataId).values),s=n.data.get(r.dataId).values,u=Array.from(n.data.get(i.dataId).values),l=Oj(s,r.shape,r.dtype,o,u),c=l[0],p=l[1],h=l[2];return[n.makeTensorInfo(p,r.dtype,c),n.makeTensorInfo([h.length],i.dtype,new Int32Array(h))]}};var EX={kernelName:bx,backendName:"cpu",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          "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n          "+i.shape);if(a.shape[0]!==i.shape[0])throw new Error("segmentIds and indices should have same size.");var o=n.data.get(r.dataId).values,s=n.data.get(a.dataId).values,u=n.data.get(i.dataId).values,l=Fj(o,r.shape,r.dtype,s,u,!0),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var AX={kernelName:xx,backendName:"cpu",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         "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n         "+i.shape);if(a.shape[0]!==i.shape[0])throw new Error("segmentIds and indices should have same size.");var o=n.data.get(r.dataId).values,s=n.data.get(a.dataId).values,u=n.data.get(i.dataId).values,l=Fj(o,r.shape,r.dtype,s,u),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var RX={kernelName:wx,backendName:"cpu",kernelFunc:function(e){var 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r.map((function(t,a){return"int "+e[a]+" = "+n+" / outShapeStrides["+a+"]"+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * outShapeStrides["+a+"]":"index -= "+e[a]+" * outShapeStrides["+a+"]")+";"})).join("")}function BY(e,t,n){void 0===n&&(n="index");var r=function(e,t){var n=e.length,r=e.map((function(e){return t+"["+e+"]"})),a=new Array(n-1);a[n-2]=r[n-1];for(var i=n-3;i>=0;--i)a[i]="("+a[i+1]+" * "+r[i+1]+")";return a}(e.map((function(e,t){return t})),t);return r.map((function(t,a){return"int "+e[a]+" = "+n+" / "+r[a]+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * "+r[a]:"index -= "+e[a]+" * "+r[a])+";"})).join("")}function WY(e){var t=yg(e).map((function(e){return e.toString()}));return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+t[0]+" + coords.y * "+t[1]+" + coords.z;\n  }\n"}MY.registerFlag("HAS_WEBGL",(function(){return MY.getNumber("WEBGL_VERSION")>0})),MY.registerFlag("WEBGL_VERSION",(function(){return 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3:r.push("uniform ivec3 outShape;"),r.push("uniform ivec2 outShapeStrides;");break;case 4:r.push("uniform ivec4 outShape;"),r.push("uniform ivec3 outShapeStrides;")}r.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach((function(e){r.push("uniform "+e.type+" "+e.name+(e.arrayIndex?"["+e.arrayIndex+"]":"")+";")}));var a,i,o=r.join("\n"),s=e.map((function(e){return function(e,t,n,r){void 0===n&&(n=!1);var a="";a+=n?HY(e,r):jY(e,r);var i=e.shapeInfo.logicalShape,o=t.logicalShape;i.length<=o.length&&(a+=n?function(e,t){var n,r=e.name,a=r.charAt(0).toUpperCase()+r.slice(1),i="get"+a+"AtOutCoords",o=e.shapeInfo.logicalShape.length,s=t.logicalShape.length,u=UY(e.shapeInfo.logicalShape,t.logicalShape),l=QY(s),c=s-o,p=["x","y","z","w","u","v"];n=0===o?"":s<2&&u.length>=1?"coords = 0;":u.map((function(e){return"coords."+p[e+c]+" = 0;"})).join("\n");var h="";h=s<2&&o>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+p[t+c]})).join(", ");var f="return 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ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+r[0]+", "+r[1]+"));\n      return 2 * (resTexRC.x * "+r[1]+" + resTexRC.y);\n    }\n  "}(0,t,n);case 2:return function(e,t,n){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(Jv(e,t))return n?"\n      ivec2 getOutputCoords() {\n        ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n        return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1]));\n      }\n    ":"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+r[0]+", "+r[1]+"));\n      }\n    ";var a=Math.ceil(e[1]/2);if(n)return"\n    ivec2 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      int texelsInLogicalRow = int(ceil(float(outShape[1]) / 2.0));\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(packedTexShape[0], packedTexShape[1]));\n\n      int index = resTexRC.x * packedTexShape[1] + resTexRC.y;\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec2(r, c);\n    }\n  ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+r[0]+", "+r[1]+"));\n\n      int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(e,t,n);case 3:return function(e,t,n){if(n)return"\n    ivec3 getOutputCoords() {\n      ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));\n      int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));\n      int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[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 b = index / texelsInBatch;\n      index -= b * texelsInBatch;\n\n      int r = 2 * (index / texelsInLogicalRow);\n      int c = imod(index, texelsInLogicalRow) * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],a=Math.ceil(e[2]/2),i=a*Math.ceil(e[1]/2);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+r[0]+", "+r[1]+"));\n      int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+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",l=2;l<e.length-1;l++)s="\n      int b"+l+" = index / "+(o*=e[e.length-l-1])+";\n      index -= b"+l+" * "+o+";\n    "+s,u="b"+l+", "+u;return"\n    ivec"+e.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+r[0]+", "+r[1]+"));\n      int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n\n      "+s+"\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec"+e.length+"("+u+");\n    }\n  "}(e,t,n)}}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(vec4 val) {\n      "+e.output+" = val;\n    }\n  "}(l)):(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 * "+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 * "+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("+t[0]+", "+t[1]+"));\n      return resTexRC.x * "+t[1]+" + resTexRC.y;\n    }\n  "}(0,t,n);case 2:return function(e,t,n){if(Jv(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("+t[0]+", "+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("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+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("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+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("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+e[1]+";\n      int c = index - r * "+e[1]+";\n      return ivec2(r, c);\n    }\n  "}(e,t,n);case 3:return function(e,t,n){if(n){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    "+PY(["r","c","d"],e)+"\n    return ivec3(r, c, d);\n  }\n"}var r=zY(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  "}(e,t,n);case 4:return function(e,t,n){if(n){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      "+PY(["r","c","d","d2"],e)+"\n      return ivec4(r, c, d, d2);\n    }\n  "}var r=zY(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+r+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t,n);case 5:return r=t,a=zY(["r","c","d","d2","d3"],e),"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+r[0]+",\n                             "+r[1]+"));\n\n      int index = resTexRC.x * "+r[1]+" + resTexRC.y;\n\n      "+a+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  ";case 6:return function(e,t){var n=zY(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}var r,a}(t.logicalShape,u,n.enableShapeUniforms),i=function(e){return"\n    void setOutput(float val) {\n      "+e.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),n.packedInputs&&(p+=YY),[p,c,i,o,a,s,n.userCode].join("\n")}function jY(e,t){void 0===t&&(t=!1);var 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 "+r+"() {return "+n+";}";var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===i&&1===o)return"\n      float "+r+"() {\n        return sampleTexture("+n+", halfCR);\n      }\n    ";var s=JY(n);if(t)return"\n    float "+r+"() {\n      vec2 uv = uvFromFlat("+n+"TexShape[0], "+n+"TexShape[1], "+s+");\n      return sampleTexture("+n+", uv);\n    }\n  ";var u=e.shapeInfo.texShape,l=u[0],c=u[1];return"\n    float "+r+"() {\n      vec2 uv = uvFromFlat("+l+", "+c+", "+s+");\n      return sampleTexture("+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 "+r+"(int index) {\n        "+ZY(e)+"\n      }\n    ";var a=e.shapeInfo.texShape,i=a[0],o=a[1];if(1===o&&1===i)return"\n      float "+r+"(int index) {\n        return sampleTexture("+n+", halfCR);\n      }\n    ";var s=JY(n);if(1===o)return t?"\n      float "+r+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+s+") + 0.5) / float("+n+"TexShape[0]));\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n      float "+r+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+s+") + 0.5) / "+i+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(1===i)return t?"\n      float "+r+"(int index) {\n        vec2 uv = vec2((float(index + "+s+") + 0.5) / float("+n+"TexShape[1]), 0.5);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n      float "+r+"(int index) {\n        vec2 uv = vec2((float(index + "+s+") + 0.5) / "+o+".0, 0.5);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(t)return"\n    float "+r+"(int index) {\n      vec2 uv = uvFromFlat("+n+"TexShape[0], "+n+"TexShape[1], index + "+s+");\n      return sampleTexture("+n+", uv);\n    }\n  ";return"\n    float "+r+"(int index) {\n      vec2 uv = uvFromFlat("+i+", "+o+", index + "+s+");\n      return sampleTexture("+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&&Jv(n,i)){if(t)return"\n      float "+a+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ";var o=i[0];return"\n    float "+a+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+o+".0);\n      return sampleTexture("+r+", uv);\n    }\n  "}var s=rg(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=["row","col"];return"\n      "+jY(eJ(e,c),t)+"\n      float "+a+"(int row, int col) {\n        return "+a+"("+tJ(p,l)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+n[1]+", 1)));\n        "+ZY(e)+"\n      }\n    ";var h=i[0],f=i[1],d=JY(r);if(1===f)return t?"\n      float "+a+"(int row, int col) {\n        float index = dot(vec3(row, col, "+d+"), vec3("+r+"Shape[1], 1, 1));\n        vec2 uv = vec2(0.5, (index + 0.5) / float("+r+"TexShape[0]));\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col) {\n      float index = dot(vec3(row, col, "+d+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+h+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ";if(1===h)return t?"\n      float "+a+"(int row, int col) {\n        float index = dot(vec3(row, col, "+d+"), vec3("+r+"Shape[1], 1, 1));\n        vec2 uv = vec2((index + 0.5) / float("+r+"TexShape[1]), 0.5);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col) {\n      float index = dot(vec3(row, col, "+d+"), vec3("+n[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+f+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ";if(t)return"\n      float "+a+"(int row, int col) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+r+"Shape[1] + col + "+d+";\n        vec2 uv = uvFromFlat("+r+"TexShape[0], "+r+"TexShape[1], index);\n        return sampleTexture("+r+", uv);\n      }\n    ";return"\n  float "+a+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+n[1]+" + col + "+d+";\n    vec2 uv = uvFromFlat("+h+", "+f+", index);\n    return sampleTexture("+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=rg(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length){var p=["row","col","depth"];return"\n        "+jY(eJ(e,c),t)+"\n        float "+a+"(int row, int col, int depth) {\n          return "+a+"("+tJ(p,l)+");\n        }\n      "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+i+", "+o+", 1)));\n        "+ZY(e)+"\n      }\n    ";var h=e.shapeInfo.texShape,f=h[0],d=h[1],m=e.shapeInfo.flatOffset;if(d===i&&null==m)return t?"\n      float "+a+"(int row, int col, int depth) {\n        int stride1 = "+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("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n        float "+a+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+o+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+d+".0, "+f+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ";if(d===o&&null==m)return t?"\n      float "+a+"(int row, int col, int depth) {\n        float texR = dot(vec2(row, col), vec2("+r+"Shape[1], 1));\n        float texC = float(depth);\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+n[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+d+".0, "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ";var v=JY(r);if(t)return"\n    float "+a+"(int row, int col, int depth) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int stride0 = "+r+"Shape[1] * "+r+"Shape[2];\n      int stride1 = "+r+"Shape[2];\n      int index = row * stride0 + col * stride1 + depth + "+v+";\n      vec2 uv = uvFromFlat("+r+"TexShape[0], "+r+"TexShape[1], index);\n      return sampleTexture("+r+", uv);\n    }\n    ";return"\n      float "+a+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+i+" + col * "+o+" + depth + "+v+";\n        vec2 uv = uvFromFlat("+f+", "+d+", index);\n        return sampleTexture("+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=rg(n),l=u.newShape,c=u.keptDims;if(l.length<n.length){var p=["row","col","depth","depth2"];return"\n      "+jY(eJ(e,l),t)+"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        return "+a+"("+tJ(p,c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+s+", "+o+", "+i+", 1)));\n        "+ZY(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1],v="int stride2 = "+r+"Shape[3];",g="int stride1 = "+r+"Shape[2] * stride2;",y="int stride0 = "+r+"Shape[1] * stride1;";if(m===s&&null==h)return t?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        "+v+"\n        "+g+"\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("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n      float "+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("+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";if(m===i&&null==h)return t?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+r+"Shape[1] * "+r+"Shape[2], "+r+"Shape[2], 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+n[1]*n[2]+", "+n[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ";var b=JY(r);if(t)return"\n    float "+a+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      "+v+"\n      "+g+"\n      "+y+"\n      int index = row * stride0 + col * stride1 +\n          depth * stride2 + depth2;\n      vec2 uv = uvFromFlat("+r+"TexShape[0], "+r+"TexShape[1], index + "+b+");\n      return sampleTexture("+r+", uv);\n    }\n  ";return"\n    float "+a+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+o+" +\n          depth * "+i+" + depth2;\n      vec2 uv = uvFromFlat("+d+", "+m+", index + "+b+");\n      return sampleTexture("+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=rg(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){var p=["row","col","depth","depth2","depth3"];return"\n      "+jY(eJ(e,l))+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+tJ(p,c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+o+", "+i+", "+a+")) +\n          depth3;\n        "+ZY(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1];if(m===s&&null==h)return"\n      float "+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("+o+", "+i+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(m===a&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]+",\n               "+t[2]*t[3]+", "+t[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var v=JY(n);return"\n    float "+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 * "+s+" + col * "+o+" + depth * "+i+" +\n          depth2 * "+a+" + depth3 + "+v+";\n      vec2 uv = uvFromFlat("+d+", "+m+", index);\n      return sampleTexture("+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=rg(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=["row","col","depth","depth2","depth3","depth4"];return"\n      "+jY(eJ(e,i))+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+tJ(s,o)+");\n      }\n    "}var u=t[5],l=t[4]*u,c=t[3]*l,p=t[2]*c,h=t[1]*p;if(e.shapeInfo.isUniform)return"\n      float "+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("+h+", "+p+", "+c+", "+l+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+u+", 1)));\n        "+ZY(e)+"\n      }\n    ";var f=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,m=d[0],v=d[1];if(v===h&&null==f)return"\n      float "+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("+p+", "+c+", "+l+", "+u+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+m+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(v===u&&null==f)return"\n      float "+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("+t[1]*t[2]*t[3]*t[4]+",\n               "+t[2]*t[3]*t[4]+",\n               "+t[3]*t[4]+",\n               "+t[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+m+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var g=JY(n);return"\n    float "+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 * "+h+" + col * "+p+" + depth * "+c+" +\n          depth2 * "+l+" + depth3 * "+u+" + depth4 + "+g+";\n      vec2 uv = uvFromFlat("+m+", "+v+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);default:throw new Error(n.length+"-D input sampling is not yet supported")}}function HY(e,t){var n,r,a;switch(e.shapeInfo.logicalShape.length){case 0:return n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=LY(),"\n    vec4 "+r+"() {\n      return "+a.texture2D+"("+n+", halfCR);\n    }\n  ";case 1:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=LY();if(t)return"\n    vec4 "+r+"(int index) {\n      ivec2 packedTexShape = ivec2(ceil(float("+n+"TexShape[0]) / 2.0), ceil(float("+n+"TexShape[1]) / 2.0));\n      vec2 uv = packedUVfrom1D(\n        packedTexShape[0], packedTexShape[1], index);\n      return "+i.texture2D+"("+n+", uv);\n    }\n  ";var o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];return"\n    vec4 "+r+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+o[0]+", "+o[1]+", index);\n      return "+i.texture2D+"("+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,o=i[0],s=i[1],u=LY();if(null!=i&&Jv(n,i))return t?"\n      vec4 "+a+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+r+"TexShape[1], "+r+"TexShape[0]);\n\n        return "+u.texture2D+"("+r+", uv);\n      }\n    ":"\n      vec4 "+a+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+s+".0, "+o+".0);\n\n        return "+u.texture2D+"("+r+", uv);\n      }\n    ";if(t)return"\n    vec4 "+a+"(int row, int col) {\n      ivec2 packedTexShape = ivec2(ceil(float("+r+"TexShape[0]) / 2.0), ceil(float("+r+"TexShape[1]) / 2.0));\n      int valuesPerRow = int(ceil(float("+r+"Shape[1]) / 2.0));\n      vec2 uv = packedUVfrom2D(valuesPerRow, packedTexShape[0], packedTexShape[1], row, col);\n      return "+u.texture2D+"("+r+", uv);\n    }\n  ";var l=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],c=Math.ceil(n[1]/2);return"\n    vec4 "+a+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+c+", "+l[0]+", "+l[1]+", row, col);\n      return "+u.texture2D+"("+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=e.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===n[0]){var s=[1,2],u=["b","row","col"];return"\n        "+HY(eJ(e,n.slice(1)),t)+"\n        vec4 "+a+"(int b, int row, int col) {\n          return "+a+"("+tJ(u,s)+");\n        }\n      "}var l=LY();if(t)return"\n    vec4 "+a+"(int b, int row, int col) {\n      ivec2 packedTexShape = ivec2(ceil(float("+r+"TexShape[0]) / 2.0), ceil(float("+r+"TexShape[1]) / 2.0));\n      int valuesPerRow = int(ceil(float("+r+"Shape[2]) / 2.0));\n      int texelsInBatch = valuesPerRow * int(ceil(float("+r+"Shape[1]) / 2.0));\n      vec2 uv = packedUVfrom3D(\n        packedTexShape[0], packedTexShape[1], texelsInBatch, valuesPerRow, b, row, col);\n      return "+l.texture2D+"("+r+", uv);\n    }\n  ";var c=o[0],p=o[1],h=Math.ceil(n[2]/2),f=h*Math.ceil(n[1]/2);return"\n    vec4 "+a+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+c+", "+p+", "+f+", "+h+", b, row, col);\n      return "+l.texture2D+"("+r+", uv);\n    }\n  "}(e,t);default:return function(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=LY();if(t)return"\n    vec4 "+r+"(int b2, int b, int row, int col) {\n      int valuesPerRow = int(ceil(float("+n+"Shape[3]) / 2.0));\n      int texelsInBatch = valuesPerRow * int(ceil(float("+n+"Shape[2]) / 2.0));\n      int index = b * texelsInBatch + (row / 2) * valuesPerRow + (col / 2);\n      texelsInBatch *= "+n+"Shape[1];\n      index = b2 * texelsInBatch + index;\n      ivec2 packedTexShape = ivec2(ceil(float("+n+"TexShape[0]) / 2.0), ceil(float("+n+"TexShape[1]) / 2.0));\n      int texR = index / packedTexShape[1];\n      int texC = index - texR * packedTexShape[1];\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(packedTexShape[1], packedTexShape[0]); return "+a.texture2D+"("+n+", uv);\n    }\n  ";for(var i=e.shapeInfo.logicalShape,o=i.length,s=e.shapeInfo.texShape,u=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],l=u[0],c=u[1],p=Math.ceil(i[o-1]/2),h=p*Math.ceil(i[o-2]/2),f="int b, int row, int col",d="b * "+h+" + (row / 2) * "+p+" + (col / 2)",m=2;m<o-1;m++)f="int b"+m+", "+f,d="b"+m+" * "+(h*=i[o-m-1])+" + "+d;return"\n    vec4 "+r+"("+f+") {\n      int index = "+d+";\n      int texR = index / "+c+";\n      int texC = index - texR * "+c+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+c+", "+l+");\n      return "+a.texture2D+"("+n+", uv);\n    }\n  "}(e,t)}}var qY="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",KY="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",XY="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",YY="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function JY(e){return"offset"+e}function ZY(e){var t=e.name,n=Yv(e.shapeInfo.logicalShape);return n<2?"return "+t+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+t+"[i];\n      }\n    }\n  "}function QY(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank "+e+" is not yet supported")}function $Y(e,t,n){var r=rg(t),a=r.newShape,i=r.keptDims,o=t.length,s=e&&3===o&&1===t[0],u=s?t.slice(1):a,l=!e&&o>1&&!Jv(t,n)&&a.length<o||s;return{useSqueezeShape:l,uniformShape:l?u:t,keptDims:i}}function eJ(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function tJ(e,t){return t.map((function(t){return e[t]})).join(", ")}function nJ(e,t,n,r){var a=n.map((function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked,flatOffset:null};return null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0&&(r.flatOffset=e.texData.slice.flatOffset),{name:t.variableNames[n],shapeInfo:r}})),i=a.map((function(e){return e.shapeInfo})),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},s=GY(a,o,t),u=function(e,t){var n=NY(e,(function(){return e.createShader(e.FRAGMENT_SHADER)}),"Unable to create fragment WebGLShader.");if(cY(e,(function(){return e.shaderSource(n,t)})),cY(e,(function(){return e.compileShader(n)})),Fg().get("ENGINE_COMPILE_ONLY"))return n;if(!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw vY(t,e.getShaderInfoLog(n)),new Error("Failed to compile fragment shader.");return n}(e.gl,s),l=e.createProgram(u);return Fg().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:u,source:s,webGLProgram:l,inShapeInfos:i,outShapeInfo:o,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:s,webGLProgram:l,inShapeInfos:i,outShapeInfo:o},rJ(e,t,l))}function rJ(e,t,n){var r,a,i,o,s={},u={},l={},c=[],p=null;o=e.getUniformLocation(n,"NAN",!1),1===Fg().getNumber("WEBGL_VERSION")&&(p=e.getUniformLocation(n,"INFINITY",!1));for(var h=!1,f=0;f<t.variableNames.length;f++){var d=t.variableNames[f];s[d]=e.getUniformLocation(n,d,h),s["offset"+d]=e.getUniformLocation(n,"offset"+d,h),t.enableShapeUniforms&&(u[d+"Shape"]=e.getUniformLocation(n,d+"Shape",h),l[d+"TexShape"]=e.getUniformLocation(n,d+"TexShape",h))}return t.enableShapeUniforms&&(r=e.getUniformLocation(n,"outShape",h),i=e.getUniformLocation(n,"outShapeStrides",h),a=e.getUniformLocation(n,"outTexShape",h)),t.customUniforms&&t.customUniforms.forEach((function(t,r){c[r]=e.getUniformLocation(n,t.name,h)})),{uniformLocations:s,customUniformLocations:c,infLoc:p,nanLoc:o,inShapesLocations:u,inTexShapesLocations:l,outShapeLocation:r,outShapeStridesLocation:i,outTexShapeLocation:a}}function aJ(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach((function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!Jv(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!Jv(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}}))}function iJ(e){return Fg().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&e<=4}var oJ=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=eY.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var t=LY();this.outputShape=e,this.enableShapeUniforms=iJ(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+(this.enableShapeUniforms?PY(["r","c","d"],e):zY(["r","c","d"],e))+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+t.output+" = result;\n      }\n    "},sJ=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=eY.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];var t=LY();this.outputShape=e,this.enableShapeUniforms=iJ(this.outputShape.length),this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+(this.enableShapeUniforms?PY(["r","c","d"],e):zY(["r","c","d"],e))+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));\n        int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+t.output+" = result;\n      }\n    "},uJ=function(e){this.variableNames=["A"],this.outTexUsage=tY.DOWNLOAD;var t=LY();this.outputShape=e,this.userCode="\n      "+VY+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+t.output+" = encode_float(x);\n      }\n    "},lJ=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=tY.DOWNLOAD;var t=LY();this.outputShape=e,this.userCode="\n      "+VY+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+t.output+" = encode_float(x);\n      }\n    "},cJ={R:0,G:1,B:2,A:3},pJ=function(e,t,n){void 0===t&&(t=!1),void 0===n&&(n="RGBA"),this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];var r=LY();this.outputShape=e,this.enableShapeUniforms=iJ(this.outputShape.length);var a="result";t&&(a="floor(result * 255. + 0.5)");for(var i="",o=0;o<n.length;o++){var s=n[o];i+="\n          if(offset == "+o+") {\n            result = values["+cJ[s]+"];\n          }"}this.userCode="\n      "+(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":WY(e))+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int flatIndex = getFlatIndex(coords);\n        float result = 0.;\n        int offset = imod(flatIndex, "+n.length+");\n\n        flatIndex = idiv(flatIndex, "+n.length+", 1.);\n\n        int r = flatIndex / texShape[1];\n        if (r < texShape[0]) {\n          int c = imod(flatIndex, texShape[1]);\n          vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n          vec4 values = "+r.texture2D+"(A, uv);\n          "+i+"\n        }\n        "+r.output+" = vec4("+a+", 0., 0., 0.);\n      }\n    "},hJ=function(e,t){void 0===t&&(t=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];var n=LY();this.outputShape=e,this.enableShapeUniforms=iJ(this.outputShape.length);var r="",a="result";t&&(a="floor(result * 255. + 0.5)");for(var i=0;i<=1;i++)for(var o=0;o<=1;o++){var s=2*i+o;r+="\n          localCoords = coords;\n          if(localCoords[2] + "+o+" < "+(this.enableShapeUniforms?"outShape[2]":""+e[2])+") {\n          localCoords[2] += "+o+";\n          if (localCoords[1] + "+i+" < "+(this.enableShapeUniforms?"outShape[1]":""+e[1])+") {\n            localCoords[1] += "+i+";\n\n            flatIndex = getFlatIndex(localCoords);\n            offset = imod(flatIndex, 4);\n\n            flatIndex = idiv(flatIndex, 4, 1.);\n\n            int r = flatIndex / texShape[1];\n            int c = imod(flatIndex, texShape[1]);\n            vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);\n            values = "+n.texture2D+"(A, uv);\n\n            if (offset == 0) {\n              result["+s+"] = values[0];\n            } else if (offset == 1) {\n              result["+s+"] = values[1];\n            } else if (offset == 2) {\n              result["+s+"] = values[2];\n            } else {\n              result["+s+"] = values[3];\n            }\n          }\n        }\n        "}this.userCode="\n        "+(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":WY(e))+"\n\n        void main() {\n          ivec3 coords = getOutputCoords();\n\n          vec4 result = vec4(0.);\n          int flatIndex, r, c, offset;\n          ivec3 localCoords;\n          vec2 uv;\n          vec4 values;\n\n          "+r+"\n\n          "+n.output+" = "+a+";\n        }\n    "};function fJ(e){var t=LY();return function(e,t){var n=NY(e,(function(){return e.createShader(e.VERTEX_SHADER)}),"Unable to create vertex WebGLShader.");if(cY(e,(function(){return e.shaderSource(n,t)})),cY(e,(function(){return 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This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;cY(t,(function(){return t.finish()})),cY(t,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),cY(t,(function(){return t.deleteFramebuffer(e.framebuffer)})),cY(t,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),cY(t,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),cY(t,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}},t.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=oY(t,n);return vJ(e,a[0],a[1],gJ(r),r.textureFormatFloat,e.FLOAT)}(this.gl,e,t,this.textureConfig)},t.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=oY(t,n);return vJ(e,a[0],a[1],yJ(r),r.textureFormatFloat,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)},t.createUnsignedBytesMatrixTexture=function(e,t){return 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t=this;this.throwIfDisposed(),this.outputTexture===e&&(wY(this.gl,this.framebuffer),this.outputTexture=null),cY(this.gl,(function(){return t.gl.deleteTexture(e)}))},t.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return function(e,t,n,r){var a=oY(t,n),i=a[0],o=a[1],s=new Uint8Array(t*n*4);return cY(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)}))},t.downloadPackedMatrixFromBuffer=function(e,t,n,r,a,i){return kJ(this.gl,e,0,0,0,a,i,this.textureConfig)},t.downloadFloat32MatrixFromBuffer=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)},t.createBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=function(e,t,n,r){var 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NY(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)},t.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),cY(this.gl,(function(){return n.gl.getAttribLocation(e,t)}))},t.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},t.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),bY(this.gl,e,t,n)},t.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},t.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=uY(t,n),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)},t.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},t.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.debugValidate=function(){null!=this.program&&gY(this.gl,this.program),kY(this.gl)},t.executeProgram=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()}cY(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))},t.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),cY(this.gl,(function(){return e.gl.finish()}))},t.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=hY(this.gl,2===Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.beginQuery=function(){if(2===Fg().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},t.endQuery=function(){if(2!==Fg().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)}},t.waitForQueryAndGetTime=function(){var e=Iv(kv().mark((function e(t){var n=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,eg((function(){return n.disposed||n.isQueryAvailable(t,Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.getQueryTime=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},t.isQueryAvailable=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},t.pollFence=function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))},t.pollItems=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)},t.addItemToPoll=function(e,t){var n=this;if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),!(this.itemsToPoll.length>1)){var r=void 0;"setTimeoutCustom"in Fg().platform&&(r=Fg().platform.setTimeoutCustom.bind(Fg().platform)),eg((function(){return n.pollItems(),0===n.itemsToPoll.length}),(function(){return 0}),null,r)}},t.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),xY(this.gl,e,this.framebuffer),this.debug&&kY(this.gl)},t.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(xY(this.gl,this.outputTexture,this.framebuffer),this.debug&&kY(this.gl)):wY(this.gl,this.framebuffer)},t.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},t.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;xY(r,e,this.framebuffer),this.debug&&kY(r),this.outputTexture=e,cY(r,(function(){return r.viewport(0,0,t,n)})),cY(r,(function(){return r.scissor(0,0,t,n)}))},t.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),cY(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))},t.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},Tv(e,[{key:"debug",get:function(){return Fg().getBool("DEBUG")}}]),e}();var IJ=$U,SJ=rG,TJ=aG,CJ=XU,EJ=uG,AJ=pG,RJ=hG,_J=mG,OJ=yG,FJ=wG,DJ=IG,MJ=SG,LJ=TG,zJ=AG,PJ=OG,BJ=MG,WJ=PG,VJ=BG,UJ=UG,GJ=GG,jJ=qG,HJ=YG,qJ=$G,KJ=tj,XJ=sj,YJ=hj,JJ=dj,ZJ=bj,QJ=xj,$J=wj,eZ=Ij,tZ=Sj,nZ=PU,rZ=Ej,aZ=_j,iZ=Oj,oZ=Fj,sZ=Dj,uZ=Wj,lZ=Uj,cZ=jj,pZ=Hj,hZ=qj,fZ=Jj,dZ=$j,mZ=aj,vZ=eH;function gZ(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return e+"."+t}))}function yZ(e,t){return 1===t?[e]:gZ(e,t)}var bZ=function(){function e(e){if(this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.enableShapeUniforms=iJ(this.outputShape.length),0===this.rank)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var t=yZ("rc",this.rank),n=QY(this.rank),r=this.getOutOfBoundsCondition(t),a=this.getSetup(t),i=this.getOutput(t);this.userCode="\n        void main() {\n          "+n+" rc = getOutputCoords();\n\n          if("+r+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+i+"));\n          }\n        }\n      "}}var t=e.prototype;return t.getSourceCoordsArr=function(e){for(var t=[],n=0;n<=1;n++)for(var r=0;r<=1;r++){for(var a=(0===n?"r":"rp1")+", "+(0===r?"c":"cp1"),i=2;i<this.rank;i++)a=e[e.length-1-i]+","+a;t.push(a)}return t},t.getOutOfBoundsCondition=function(e){if(1===this.rank)return"rc > "+(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",n=this.rank-2;n<this.rank;n++)t+=e[n]+" >= "+(this.enableShapeUniforms?"outShape["+n+"]":this.outputShape[n]),n<this.rank-1&&(t+="||");return t},t.getSetup=function(e){if(1===this.rank)return"";var t=e.slice(-2),n=this.enableShapeUniforms?"outShape["+this.rank+" - 1]":this.outputShape[this.rank-1],r=this.enableShapeUniforms?"outShape["+this.rank+" - 2]":this.outputShape[this.rank-2];return"\n      int r = "+t[0]+";\n      int c = "+t[1]+";\n      int rp1 = r + 1;\n      int cp1 = c + 1;\n\n      bool cEdge = cp1 >= "+n+";\n      bool rEdge = rp1 >= "+r+";\n    "},t.getOutput=function(e){var t=this.getSourceCoordsArr(e);return 1===this.rank?"getA(rc), (rc + 1 >= "+(this.enableShapeUniforms?"outShape":this.outputShape[0])+" ? 0. : getA(rc + 1)), 0, 0":"getA("+t[0]+"),\n            cEdge ? 0. : getA("+t[1]+"),\n            rEdge ? 0. : getA("+t[2]+"),\n            rEdge || cEdge ? 0. : getA("+t[3]+")"},e}(),xZ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=iJ(this.outputShape.length);for(var n,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        "+i+"\n        "+(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["+a+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(a>0?"}":"")+"\n      "}this.userCode="\n      "+(n=t,"\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+(this.enableShapeUniforms?BY(["r","c","d"],"inputShape"):zY(["r","c","d"],n))+"\n      return ivec3(r, c, d);\n    }\n  \n      ")+(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":WY(e))+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+(this.enableShapeUniforms?"outShape[1]":e[1])+";\n        int cols = "+(this.enableShapeUniforms?"outShape[2]":e[2])+";\n\n        "+r+"\n\n        setOutput(result);\n      }\n    "};var wZ=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}var t=e.prototype;return t.acquireTexture=function(e,t,n){var r=NZ(t,n),a=IZ(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=kZ(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].shift();return this.usedTextures[a].push(s),s}return r===nY.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===nY.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===nY.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===nY.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===nY.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},t.releaseTexture=function(e,t,n,r){if(null!=this.freeTextures){var a=NZ(n,r),i=IZ(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=kZ(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=Fg().get("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],l=u.indexOf(e);if(l<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(l,1),this.log()}},t.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+e+")");var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log("Bytes unused: "+this._numBytesFree+" ("+Math.round(100*t)+"%)")}},t.getNumUsedTextures=function(){return this.numUsedTextures},t.getNumFreeTextures=function(){return this.numFreeTextures},t.dispose=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}},Tv(e,[{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}}]),e}();function kZ(e,t,n,r,a){var i,o=function(e,t){switch(e){case nY.PACKED_2X2_FLOAT32:return xJ(t);case nY.PACKED_2X2_FLOAT16:return wJ(t);case nY.UNPACKED_FLOAT32:return gJ(t);case nY.UNPACKED_FLOAT16:return yJ(t);case nY.PACKED_4X1_UNSIGNED_BYTE:return bJ(t);default:throw new Error("Unknown physical texture type "+e)}}(t,r);if(a){var s=uY(e[0],e[1]);i=s[0]*s[1]}else{var u=oY(e[0],e[1]);i=u[0]*u[1]}var l=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 "+t)}(n,o);return i*l}function NZ(e,t){if(e===tY.UPLOAD)return nY.PACKED_2X2_FLOAT32;if(e===tY.RENDER||null==e)return function(e){return Fg().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?nY.PACKED_2X2_FLOAT32:nY.UNPACKED_FLOAT32:e?nY.PACKED_2X2_FLOAT16:nY.UNPACKED_FLOAT16}(t);if(e===tY.DOWNLOAD||e===tY.PIXELS)return nY.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+e)}function IZ(e,t,n){return e[0]+"_"+e[1]+"_"+t+"_"+n}var SZ=function(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=iJ(this.outputShape.length),this.userCode="\n      float unaryOperation(float x) {\n        "+t+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},TZ="if (isnan(x)) return x;",CZ="return abs(x);";var EZ="return x;",AZ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=iJ(this.outputShape.length),this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},RZ=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=iJ(this.outputShape.length);var t=e.length,n=yZ("rc",t),r=QY(t),a=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}(t,n),i=n.slice(-2),o=t<=1?"rc":"vec2("+i.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+a+");\n\n        setOutput(getChannel(packedInput, "+o+"));\n      }\n    "},_Z=IA,OZ={};var FZ=Fg().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var DZ=function(e){function t(t){var n,r,a;if((n=e.call(this)||this).pendingRead=new WeakMap,n.pendingDisposal=new WeakSet,n.dataRefCount=new WeakMap,n.numBytesInGPU=0,n.uploadWaitMs=0,n.downloadWaitMs=0,n.lastGlFlushTime=0,n.warnedAboutMemory=!1,n.pendingDeletes=0,n.disposed=!1,!Fg().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=t){if(t instanceof NJ)r=t;else{var i=iY(Fg().getNumber("WEBGL_VERSION"),t);r=new NJ(i)}n.binaryCache={},n.gpgpuCreatedLocally=!1}else{var o=iY(Fg().getNumber("WEBGL_VERSION"));r=new NJ(o),n.binaryCache=((a=Fg().getNumber("WEBGL_VERSION"))in OZ||(OZ[a]={}),OZ[a]),n.gpgpuCreatedLocally=!0}return n.gpgpu=r,n.canvas=n.gpgpu.gl.canvas,n.textureManager=new wZ(n.gpgpu),n.numMBBeforeWarning=null==Fg().global.screen?1024:Fg().global.screen.height*Fg().global.screen.width*window.devicePixelRatio*600/1024/1024,n.texData=new zv(Fv(n),mI()),n}Cv(t,e);var n=t.prototype;return n.nextDataId=function(){return t.nextDataId++},n.numDataIds=function(){return this.texData.numDataIds()-this.pendingDeletes},n.writeTexture=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=CY(t),l=new pJ(u,!1,i),c=this.runWebGLProgram(l,[o],n,[[r,a]]);return c.shape=t,s.texture=null,this.disposeIntermediateTensorInfo(o),c.dataId},n.write=function(e,t,n){if((Fg().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||Fg().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:tY.UPLOAD,refCount:1}),r},n.refCount=function(e){return this.texData.has(e)?this.texData.get(e).refCount:0},n.incRef=function(e){this.texData.get(e).refCount++},n.decRef=function(e){this.texData.has(e)&&this.texData.get(e).refCount--},n.move=function(e,t,n,r,a){if(Fg().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:tY.UPLOAD,refCount:a})},n.disposeIntermediateTensorInfo=function(e){this.disposeData(e.dataId)},n.readSync=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 AZ(o,EZ):new SZ(o,EZ);var l=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),c=this.readSync(l.dataId);return this.disposeIntermediateTensorInfo(l),c}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var p,h,f=null!=this.activeTimers;(f&&(p=Ww()),"complex64"===r)?h=D_(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):h=this.getValuesFromTexture(e);return f&&(this.downloadWaitMs+=Ww()-p),this.convertAndCacheOnCPU(e,h)},n.read=function(){var e=Iv(kv().mark((function e(t){var n,r,a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,N,I;return kv().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,l=r.isPacked,null==o){e.next=11;break}return c=l?new AZ(i,EZ):new SZ(i,EZ),p=this.runWebGLProgram(c,[{dataId:t,shape:i,dtype:s}],s),h=this.read(p.dataId),this.disposeIntermediateTensorInfo(p),e.abrupt("return",h);case 11:if(null==a){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!Fg().getBool("DEBUG")){e.next=16;break}if(Fg().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==Fg().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(f=null,"complex64"!==s&&Fg().get("WEBGL_BUFFER_SUPPORTED")&&(d=this.decode(t),v=this.texData.get(d.dataId),f=(m=this.gpgpu).createBufferFromTexture.apply(m,[v.texture.texture].concat(sY(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],x=y[1],g=D_(b,x),e.next=32;break;case 31:null==f?g=this.getValuesFromTexture(t):(w=Yv(i),g=this.gpgpu.downloadFloat32MatrixFromBuffer(f,w));case 32:return null!=d&&this.disposeIntermediateTensorInfo(d),null!=f&&cY(k=this.gpgpu.gl,(function(){return k.deleteBuffer(f)})),N=this.convertAndCacheOnCPU(t,g),I=this.pendingRead.get(t),this.pendingRead.delete(t),I.forEach((function(e){return e(N)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&mI().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",N);case 40:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),n.readToGPU=function(e,t){void 0===t&&(t={});var 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 l;l=s?new AZ(a,EZ):new SZ(a,EZ);var c=this.runWebGLProgram(l,[{dataId:e,shape:a,dtype:o}],o),p=this.readToGPU(c,t);return this.disposeIntermediateTensorInfo(c),p}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 h=this.decode(e,t.customTexShape),f=mI().makeTensorFromTensorInfo(h),d=this.texData.get(h.dataId);return Object.assign({tensorRef:f},d.texture)},n.bufferSync=function(e){var t=this.readSync(e.dataId);if("string"===e.dtype)try{var n=t.map((function(e){return Gw(e)}));return UN(e.shape,e.dtype,n)}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return UN(e.shape,e.dtype,t)},n.checkNumericalProblems=function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!pY(n)){if(Fg().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},n.getValuesFromTexture=function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.isPacked,i=Yv(n);if(Fg().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(e),u=this.texData.get(s.dataId),l=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture.texture].concat(sY(n))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),l}var c=Fg().getBool("WEBGL_PACK")&&!0===a,p=c?CY(n):n,h=c?new lJ(p):new uJ(p),f=this.runWebGLProgram(h,[{shape:p,dtype:r,dataId:e}],"float32"),d=this.texData.get(f.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture.texture,d.texShape[0],d.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(f),m},n.timerAvailable=function(){return Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0},n.time=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=Xv(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),o=Xv(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 Iv(kv().mark((function e(){var n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(Fg().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=jv(n),s.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:o[t],ms:e}})).map((function(e){return e.name+": "+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)})))()},n.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}},n.startTimer=function(){return Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:Ww(),endMs:null}},n.endTimer=function(e){return Fg().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=Ww(),e)},n.getQueryTime=function(){var e=Iv(kv().mark((function e(t){var n;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(Fg().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)}}(),n.disposeData=function(e,t){if(void 0===t&&(t=!1),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},n.releaseGPUData=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,l=this.dataRefCount.get(u);l>1?this.dataRefCount.set(u,l-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var c=this.texData.get(e);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null},n.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture},n.getDataInfo=function(e){return this.texData.get(e)},n.shouldExecuteOnCPU=function(e,t){var n=this;return void 0===t&&(t=FZ),Fg().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==n.texData.get(e.dataId).texture&&Yv(e.shape)<t}))},n.getGPGPUContext=function(){return this.gpgpu},n.where=function(e){Hx("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return _Z(e.shape,t)},n.packedUnaryOp=function(e,t,n){var r=new AZ(e.shape,t),a=this.compileAndRun(r,[e],n);return mI().makeTensorFromTensorInfo(a)},n.abs=function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=nZ(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(Fg().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,CZ,e.dtype);var n=new SZ(e.shape,CZ),r=this.compileAndRun(n,[e]);return mI().makeTensorFromTensorInfo(r)},n.makeTensorInfo=function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&hg(n[0])){var a=n.map((function(e){return Uw(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}},n.makeOutput=function(e,t,n){return mI().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)},n.unpackTensor=function(e){var t=new RZ(e.shape);return this.runWebGLProgram(t,[e],e.dtype)},n.packTensor=function(e){var t=new bZ(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)},n.packedReshape=function(e,t){var n=[SY(e.shape)].concat(TY(e.shape)),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[SY(t)].concat(TY(t)),i=new xZ(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}},n.decode=function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&Hv(Yv(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=CY(a);o=r?new sJ(s):new oJ(s);var u=[null!=t?t:sY(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}},n.runWebGLProgram=function(e,t,n,r,a,i){var o=this;void 0===a&&(a=!1);var s=this.makeTensorInfo(e.outputShape,n),u=this.texData.get(s.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===eY.DENSE){var l=null!=i?i:sY(e.outputShape);u.texShape=l.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===Yv(s.shape))return u.values=ag(s.dtype,0),s;var c=[],p=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=o.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&Yv(t.shape)<=Fg().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(o.uploadToGPU(t.dataId),!!n.isPacked!=!!e.packedInputs)t=n.isPacked?o.unpackTensor(t):o.packTensor(t),c.push(t),n=o.texData.get(t.dataId);else if(n.isPacked&&!AY(n.shape,t.shape)){var r=t,a=t.shape;t.shape=n.shape,t=o.packedReshape(t,a),c.push(t),n=o.texData.get(t.dataId),r.shape=a}return{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var h,f={shape:s.shape,texData:u,isUniform:!1},d=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=$Y(e.packedInputs,t.shape,i),s=o.useSqueezeShape,u=o.uniformShape,l=o.keptDims,c="",p="",h="";if(1===u.length&&e.packedInputs){var f=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];c=(f[0]>1)+"_"+(f[1]>1)}else if(2!==u.length||e.packedInputs){if(u.length>2&&!e.packedInputs){var d=yg(u);h=(d[0]===i[1])+"_"+(d[d.length-1]===i[1])}}else p=(u[0]>1)+"_"+(u[1]>1);var m=t.shape.length,v=2===u.length&&Jv(t.shape,i),g=1===Yv(t.shape),y=EI(t.shape,n.shape),b=!e.packedInputs&&m===n.shape.length&&Jv(i,n.texData.texShape),x=e.packedInputs||u.length>2?"":(i[0]>1)+"_"+(i[1]>1);r+=m+"_"+b+"_"+(s?l:"")+"_"+u.length+"_"+g+"_"+y+"_"+v+"_"+c+"_"+p+"_"+h+"_"+x+"_"+a}else{var w=t.isUniform?"uniform":t.texData.texShape;r+=t.shape+"_"+w+"_"+a}}));var a=e.userCode,i=e.constructor.name;return i+"_"+r+"_"+a+Fg().getNumber("WEBGL_VERSION")}(e,p,f),m=this.getAndSaveBinary(d,(function(){return nJ(o.gpgpu,e,p,f)})),v=null!=this.activeTimers;v&&(h=this.startTimer()),Fg().get("ENGINE_COMPILE_ONLY")||function(e,t,n,r,a){t.program.enableShapeUniforms||(aJ(t.inShapeInfos,n),aJ([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),1===Fg().getNumber("WEBGL_VERSION")&&null!==t.infLoc&&e.gl.uniform1f(t.infLoc,1/0),null!==t.nanLoc&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((function(n,r){var a=t.program.variableNames[r],i=t.uniformLocations[a],o=t.uniformLocations["offset"+a],s=t.inShapesLocations[a+"Shape"],u=t.inTexShapesLocations[a+"TexShape"];if(s){var l=$Y(t.program.packedInputs,n.shape,n.texData.texShape).uniformShape;switch(l.length){case 1:e.gl.uniform1iv(s,new Int32Array(l));break;case 2:e.gl.uniform2iv(s,new Int32Array(l));break;case 3:e.gl.uniform3iv(s,new Int32Array(l));break;case 4:e.gl.uniform4iv(s,new Int32Array(l))}}if(u&&e.gl.uniform2i(u,n.texData.texShape[0],n.texData.texShape[1]),null!=i)if(n.isUniform)if(Yv(n.shape)<2)e.gl.uniform1f(i,n.uniformValues[0]);else{var c=n.uniformValues;c instanceof Float32Array||(c=new Float32Array(c)),e.gl.uniform1fv(i,c)}else null!=n.texData.slice&&null!=o&&e.gl.uniform1i(o,n.texData.slice.flatOffset),e.setInputMatrixTexture(n.texData.texture.texture,i,r)}));var s=t.outShapeLocation;if(s)switch(r.shape.length){case 1:e.gl.uniform1iv(s,new Int32Array(r.shape));break;case 2:e.gl.uniform2iv(s,new Int32Array(r.shape));break;case 3:e.gl.uniform3iv(s,new Int32Array(r.shape));break;case 4:e.gl.uniform4iv(s,new Int32Array(r.shape))}if(t.outShapeStridesLocation){var u=yg(r.shape);switch(r.shape.length){case 2:e.gl.uniform1iv(t.outShapeStridesLocation,new Int32Array(u));break;case 3:e.gl.uniform2iv(t.outShapeStridesLocation,new Int32Array(u));break;case 4:e.gl.uniform3iv(t.outShapeStridesLocation,new Int32Array(u))}}t.outTexShapeLocation&&e.gl.uniform2i(t.outTexShapeLocation,r.texData.texShape[0],r.texData.texShape[1]),t.program.customUniforms&&a&&t.program.customUniforms.forEach((function(n,r){var i=t.customUniformLocations[r],o=a[r];if("float"===n.type)e.gl.uniform1fv(i,o);else if("vec2"===n.type)e.gl.uniform2fv(i,o);else if("vec3"===n.type)e.gl.uniform3fv(i,o);else if("vec4"===n.type)e.gl.uniform4fv(i,o);else if("int"===n.type)e.gl.uniform1iv(i,o);else if("ivec2"===n.type)e.gl.uniform2iv(i,o);else if("ivec3"===n.type)e.gl.uniform3iv(i,o);else{if("ivec4"!==n.type)throw Error("uniform type "+n.type+" is not supported yet.");e.gl.uniform4iv(i,o)}})),e.executeProgram()}(this.gpgpu,m,p,f,r),c.forEach((function(e){return o.disposeIntermediateTensorInfo(e)})),v&&(h=this.endTimer(h),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(h)}));var g=Fg().get("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=Ww();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!Fg().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===a){var b=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),b}return s},n.compileAndRun=function(e,t,n,r,a){return void 0===a&&(a=!1),n=n||t[0].dtype,this.runWebGLProgram(e,t,n,r,a)},n.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},n.getTextureManager=function(){return this.textureManager},n.dispose=function(){var e=this;if(!this.disposed){if(!Fg().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}},n.floatPrecision=function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=gI((function(){if(!Fg().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=Fg().getBool("DEBUG");Fg().set("DEBUG",!1);var n=e.abs(eC(1e-8)).dataSync()[0];if(Fg().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue},n.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},n.uploadToGPU=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,l=null!=this.activeTimers;l&&(u=Ww());var c=t.texShape;if(null==c&&(c=function(e,t){void 0===t&&(t=!1);var n=Fg().getNumber("WEBGL_MAX_TEXTURE_SIZE"),r=Fg().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");if(r===1/0&&Fg().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?Uv(e[n]):e[n]}))).length&&(e=[2,e[0]])),2!==e.length){var a=rg(e);e=a.newShape}var i=Yv(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=SY(e),l=2,c=2;if(e.length){var p=TY(e);l=p[0],c=p[1]}o=Qv(i=u*(l/2)*(c/2)).map((function(e){return 2*e}))}else o=Qv(i);return o}(n,s),t.texShape=c),null!=a){var p,h=CY(n),f=c[1],d=c[0],m=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!m){var v=uY(c[0],c[1]);f=v[0],d=v[1]}p=s?new hJ(h,m):new pJ(h,m);var g=m?[d,f]:c,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=m?tY.PIXELS:tY.UPLOAD,b.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),f,d,a);var x=[[d,f]],w=this.runWebGLProgram(p,[y],r,x,!0),k=this.texData.get(w.dataId);t.texShape=k.texShape,t.isPacked=k.isPacked,t.usage=k.usage,Fg().get("ENGINE_COMPILE_ONLY")?this.disposeData(w.dataId):(t.texture=k.texture,t.values=null,this.texData.delete(w.dataId)),this.disposeIntermediateTensorInfo(y),l&&(this.uploadWaitMs+=Ww()-u)}else{var N=this.acquireTexture(c,o,r,s);t.texture=N}}},n.convertAndCacheOnCPU=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 Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error("Unknown dtype "+t)}(t,r)),n.values},n.acquireTexture=function(e,t,n,r){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var a=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+a+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(e,t,r)},n.computeBytes=function(e,t){return e[0]*e[1]*cg(t)},n.checkCompileCompletion=function(){for(var e=0,t=Object.entries(this.binaryCache);e<t.length;e++){var n=t[e][1];this.checkCompletion_(n)}},n.checkCompileCompletionAsync=function(){var e=Iv(kv().mark((function e(){var t,n,r,a,i,o,s,u,l=this;return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=[],!this.gpgpu.parallelCompilationExtension){e.next=6;break}for(n=0,r=Object.entries(this.binaryCache);n<r.length;n++)a=r[n],i=a[1],t.push(this.checkCompletionAsync_(i));return e.abrupt("return",Promise.all(t));case 6:for(o=function(){var e=u[s][1],n=new Promise((function(t){try{l.checkCompletion_(e),t(!0)}catch(e){throw e}}));t.push(n)},s=0,u=Object.entries(this.binaryCache);s<u.length;s++)o();return e.abrupt("return",Promise.all(t));case 9:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),n.checkCompletionAsync_=function(){var e=Iv(kv().mark((function e(t){return kv().wrap((function(e){for(;;)switch(e.prev=e.next){case 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,h_();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)}}(),n.checkCompletion_=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 vY(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},n.getUniformLocations=function(){for(var e=0,t=Object.entries(this.binaryCache);e<t.length;e++){var n=t[e][1],r=rJ(this.gpgpu,n.program,n.webGLProgram),a=r.uniformLocations,i=r.customUniformLocations,o=r.infLoc,s=r.nanLoc,u=r.inShapesLocations,l=r.inTexShapesLocations,c=r.outShapeLocation,p=r.outShapeStridesLocation,h=r.outTexShapeLocation;n.uniformLocations=a,n.customUniformLocations=i,n.infLoc=o,n.nanLoc=s,n.inShapesLocations=u,n.inTexShapesLocations=l,n.outShapeLocation=c,n.outShapeStridesLocation=p,n.outTexShapeLocation=h}},n.createTensorFromTexture=function(e,t,n){var r=e.texture,a=e.height,i=e.width,o=e.channels,s=mI().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 mI().makeTensorFromDataId(u,t,n,s)},t}(Pv);DZ.nextDataId=0;Tk()&&wI("webgl",(function(){return new DZ}),2);var MZ=function(e,t,n){this.variableNames=["A","B"],this.outputShape=RI(t,n),this.enableShapeUniforms=iJ(this.outputShape.length),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+e+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},LZ=function(e,t,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=RI(t,n);var a=this.outputShape.length;this.enableShapeUniforms=iJ(a);var i="";if(r)if(0===a||1===Yv(this.outputShape))i="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(i="\n          "+QY(a)+" coords = getOutputCoords();\n        ",1===a)this.enableShapeUniforms?i+="\n            result.y = (coords + 1) >= outShape ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ":i+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=yZ("coords",a);this.enableShapeUniforms?i+="\n            bool nextRowOutOfBounds =\n              ("+o[a-2]+" + 1) >= outShape["+a+" - 2];\n            bool nextColOutOfBounds =\n              ("+o[a-1]+" + 1) >= outShape["+a+" - 1];\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          ":i+="\n            bool nextRowOutOfBounds =\n              ("+o[a-2]+" + 1) >= "+this.outputShape[a-2]+";\n            bool nextColOutOfBounds =\n              ("+o[a-1]+" + 1) >= "+this.outputShape[a-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        "+e+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+i+"\n\n        setOutput(result);\n      }\n    "};function zZ(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 PZ={kernelName:Jy,backendName:"webgl",kernelFunc:zZ};function BZ(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=zZ({inputs:{x:r},backend:n}),u=zZ({inputs:{x:a},backend:n});return o.complexTensorInfos={real:s,imag:u},i}var WZ={kernelName:uy,backendName:"webgl",kernelFunc:BZ},VZ="return (a < 0.) ? b * a : a;",UZ="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var GZ={kernelName:nb,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",Pw(i,"float32")),s=Fg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new LZ(UZ,a.shape,o.shape):new MZ(VZ,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},jZ="return (a < 0.) ? b * a : a;",HZ="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var qZ={kernelName:Pb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=Fg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new LZ(HZ,r.shape,a.shape):new MZ(jZ,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}};function KZ(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,l=s,c=a||u.dtype;if(l.shouldExecuteOnCPU([u])&&null!=r){var p=l.texData.get(u.dataId),h=r(p.values,c);return l.makeTensorInfo(u.shape,c,h)}return i=Fg().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&null!=n?new AZ(u.shape,n):new SZ(u.shape,t),l.runWebGLProgram(i,[u],c)}}function XZ(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,l=r.a,c=r.b,p=i;if(o&&"complex64"===l.dtype){var h=p.texData.get(l.dataId),f=p.texData.get(c.dataId),d=[[h.complexTensorInfos.real,f.complexTensorInfos.real],[h.complexTensorInfos.imag,f.complexTensorInfos.imag]].map((function(e){var n=e[0],r=e[1],a={dataId:n.dataId,dtype:n.dtype,shape:l.shape},i={dataId:r.dataId,dtype:r.dtype,shape:c.shape},o=new MZ(t,l.shape,c.shape);return p.runWebGLProgram(o,[a,i],ck(n.dtype,r.dtype))})),m=d[0],v=d[1],g=BZ({inputs:{real:m,imag:v},backend:p});return p.disposeIntermediateTensorInfo(m),p.disposeIntermediateTensorInfo(v),g}var y,b=u||ck(l.dtype,c.dtype);if(("string"===l.dtype||"string"===c.dtype||p.shouldExecuteOnCPU([l,c]))&&null!=s){var x=p.texData.get(l.dataId).values,w=p.texData.get(c.dataId).values,k="string"===l.dtype?hO(x):x,N="string"===l.dtype?hO(w):w,I=s(l.shape,c.shape,k,N,b),S=I[0],T=I[1],C=p.makeTensorInfo(T,b);return p.texData.get(C.dataId).values=S,C}return y=Fg().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new LZ(n,l.shape,c.shape,a):new MZ(t,l.shape,c.shape),p.runWebGLProgram(y,[l,c],b)}}function YZ(e,t){if(void 0===t&&(t=!1),"linear"===e)return"return x;";if("relu"===e)return t?"\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":"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n";if("elu"===e)return t?"\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":"return (x >= 0.0) ? x : (exp(x) - 1.0);";if("relu6"===e)return t?"\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":"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n";if("prelu"===e)return t?HZ:jZ;if("leakyrelu"===e)return t?UZ:VZ;if("sigmoid"===e)return"return 1.0 / (1.0 + exp(-1.0 * x));";throw new Error("Activation "+e+" has not been implemented for the WebGL backend.")}var JZ=function(e,t,n,r,a,i,o,s,u){void 0===r&&(r=!1),void 0===a&&(a=!1),void 0===i&&(i=!1),void 0===o&&(o=null),void 0===s&&(s=!1),void 0===u&&(u=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=iJ(this.outputShape.length);var l=r?e[1]:e[2],c=Math.ceil(l/2),p=r?"i * 2, rc.y":"rc.y, i * 2",h=a?"rc.z, i * 2":"i * 2, rc.z",f=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],d=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",v="";o&&(m=s?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+o+"\n        }":u?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          "+o+"\n        }":"vec4 activation(vec4 x) {\n          "+o+"\n        }",v="result = activation(result);");var g=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),u&&this.variableNames.push("leakyreluAlpha");var y="rc.x",b="rc.x";e[0]<t[0]?y="int(min(float(rc.x), "+(e[0]-1)+".))":t[0]<e[0]&&(b="int(min(float(rc.x), "+(t[0]-1)+".))"),this.userCode="\n      "+m+"\n      // Don't use uniform for sharedDimensionPacked for performance.\n      const float sharedDimension = "+c+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+c+"; i++) {\n          int batchA = "+y+";\n          int batchB = "+b+";\n          vec4 a = getMatrixA(batchA, "+p+");\n          vec4 b = getMatrixB(batchB, "+h+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+f[0]+" * "+d[0]+");\n          result += ("+f[1]+" * "+d[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+g+"\n\n        "+v+"\n\n        setOutput(result);\n      }\n    "},ZZ="return areal * breal - aimag * bimag;",QZ="return areal * bimag + aimag * breal;",$Z=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=RI(t,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+e+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},eQ="return a * b;";function tQ(e){var t,n=e.inputs,r=e.backend,a=n.a,i=n.b,o=ck(a.dtype,i.dtype);if("complex64"===a.dtype){var s=r.texData.get(a.dataId),u=r.texData.get(i.dataId),l=new $Z(ZZ,a.shape,i.shape),c=new $Z(QZ,a.shape,i.shape),p=[{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}],h=r.runWebGLProgram(l,p,"float32"),f=r.runWebGLProgram(c,p,"float32"),d=BZ({inputs:{real:h,imag:f},backend:r});return r.disposeIntermediateTensorInfo(h),r.disposeIntermediateTensorInfo(f),d}if(r.shouldExecuteOnCPU([a,i])){var m=r.texData.get(a.dataId),v=r.texData.get(i.dataId),g=HJ(a.shape,i.shape,m.values,v.values,o),y=g[0],b=g[1],x=r.makeTensorInfo(b,o);return r.texData.get(x.dataId).values=y,x}return t=Fg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new LZ(eQ,a.shape,i.shape):new MZ(eQ,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var nQ={kernelName:Cb,backendName:"webgl",kernelFunc:tQ};function rQ(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=Yv(a.shape),u=tg(i,s),l=Yv(u);Hv(s===l,(function(){return"The new shape ("+u+") has "+l+" elements and the old shape ("+a.shape+") has "+s+" elements. The new shape and old shape must have the same number of elements."}));var c=o.texData.get(a.dataId);return!c.isPacked||AY(a.shape,u)||null!==c.texture&&AY(c.shape,u)?(o.incRef(a.dataId),{dataId:a.dataId,shape:u,dtype:a.dtype}):function(e,t,n){var r=[SY(e.shape)].concat(TY(e.shape)),a={dtype:e.dtype,shape:r,dataId:e.dataId},i=[SY(t)].concat(TY(t)),o=new xZ(i,r),s=[r],u=n.runWebGLProgram(o,[a],e.dtype,s,!0);return{dataId:u.dataId,shape:t,dtype:u.dtype}}(a,u,o)}var aQ={kernelName:Kb,backendName:"webgl",kernelFunc:rQ},iQ=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o=4*Math.floor(n/4),s=n%4,u="sumValue += dot(values, ones);";if(null!=t){var l=1/t;u="sumValue += dot(values * "+(Zv(l)?l.toPrecision(2):l)+", ones);"}var c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return 0.0;\n        }\n      "),this.userCode="\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\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 * "+n+";\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+o+"; 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          "+u+"\n        }\n\n        int inIdx = inOffset + "+o+";\n        if ("+(1===s)+") {\n          vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n          "+u+"\n        } else if ("+(2===s)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1), 0.0, 0.0);\n\n          "+u+"\n        } else if ("+(3===s)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2), 0.0);\n\n          "+u+"\n        }\n        setOutput(sumValue);\n      }\n    "},oQ=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o="0.0",s="";"prod"===t?o="1.0":"min"===t?(o="1.0 / 1e-20",s="min"):"max"===t&&(o="-1.0 / 1e-20",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"prod"===t?u="prodValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,p="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===t)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n        if ("+("min"===t)+" || "+("max"===t)+") {\n          minMaxValue = "+s+"(values, minMaxValue);\n          bvec4 isNaN = isnan(values);\n          if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n            minMaxValue = vec4(NAN);\n          }\n        }\n      }\n    ",h="vec4";"all"===t?(o="1.0",p="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",h="bvec4"):"any"===t&&(o="0.0",p="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",h="bvec4");var f="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+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 * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\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 < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+p+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(2===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(3===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+p+"\n        }\n        setOutput("+u+");\n      }\n    "};function sQ(e,t,n,r){for(var a=function(e){for(var t=[];0===t.length||1!==t[t.length-1].outSize;){var n=t.length?t[t.length-1].outSize:e[1],r=b_(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],l=u.inSize,c=u.windowSize,p=u.outSize,h=void 0;h="mean"===n?0===o?new iQ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p},l):new iQ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p}):new oQ({windowSize:c,inSize:l,batchSize:e.shape[0],outSize:p},n),s=i,i=r.runWebGLProgram(h,[i],t),s.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(s)}return i}var uQ=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=QY(this.rank),i=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+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()}(t);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "};var lQ=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");for(var a=QY(this.rank),i=gZ("rc",this.rank),o=new Array(this.rank),s=0;s<t.length;s++)o[t[s]]=i[s];var u="vec2("+o.slice(-2).join()+")",l="++"+i[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+o.join()+"), "+u+")";this.userCode="\n    void main() {\n      "+a+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+l+") {\n        result[1] = "+c+";\n      }\n      --"+i[this.rank-1]+";\n      if(++"+i[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+l+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "};function cQ(e,t,n){var r=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new lQ(e.shape,t):new uQ(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}function pQ(e){var t=e.inputs,n=e.backend,r=e.attrs;return function(e,t,n,r){var a=t,i=e.shape.length,o=ng(a,e.shape),s=o,u=XT(s,i),l=null!=u,c=e;l&&(c=cQ(e,u,r),s=JT(s.length,i)),KT("sum",s,i);var p=HT(c.shape,s),h=p[0],f=p[1],d=h;n&&(d=qT(h,o));var m=Yv(f),v=rQ({inputs:{x:c},attrs:{shape:[Yv(e.shape)/m,m]},backend:r}),g=sQ(v,pk(e.dtype),"sum",r),y=rQ({inputs:{x:g},attrs:{shape:d},backend:r});return r.disposeIntermediateTensorInfo(v),r.disposeIntermediateTensorInfo(g),l&&r.disposeIntermediateTensorInfo(c),y}(t.x,r.axis,r.keepDims,n)}var hQ={kernelName:fx,backendName:"webgl",kernelFunc:pQ};function fQ(e){for(var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.perm,s=r,u=i.shape.length,l=new Array(u),c=0;c<l.length;c++)l[c]=i.shape[o[c]];if(s.shouldExecuteOnCPU([i])){var p=s.texData.get(i.dataId).values,h=mZ(p,i.shape,i.dtype,o,l);t=s.makeTensorInfo(l,i.dtype),s.texData.get(t.dataId).values=h}else t=cQ(i,o,s);return t}var dQ={kernelName:Dx,backendName:"webgl",kernelFunc:fQ};function mQ(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,l=void 0===u?null:u,c=e.leakyreluAlpha,p=void 0===c?0:c,h=e.activation,f=void 0===h?null:h,d=t.shape.length,m=n.shape.length,v=r?t.shape[d-2]:t.shape[d-1],g=a?n.shape[m-1]:n.shape[m-2],y=r?t.shape[d-1]:t.shape[d-2],b=a?n.shape[m-2]:n.shape[m-1],x=t.shape.slice(0,-2),w=n.shape.slice(0,-2),k=Yv(x),N=Yv(w),I=RI(t.shape.slice(0,-2),n.shape.slice(0,-2)).concat([y,b]);Hv(v===g,(function(){return"Error in matMul: inner shapes ("+v+") and ("+g+") of Tensors with shapes "+t.shape+" and "+n.shape+" and transposeA="+r+" and transposeB="+a+" must match."}));var S,T=r?[k,v,y]:[k,y,v],C=a?[N,b,g]:[N,g,b],E=rQ({inputs:{x:t},backend:i,attrs:{shape:T}}),A=rQ({inputs:{x:n},backend:i,attrs:{shape:C}}),R=[E,A],_=Math.max(k,N),O=r?E.shape[1]:E.shape[2],F=null!=s,D=null!=l,M="leakyrelu"===f,L=null!=f?YZ(f,!0):null;if((1===y||1===b)&&O>1e3&&!1===(F||D||M||null!=L)){var z=E,P=A;r&&(z=fQ({inputs:{x:E},backend:i,attrs:{perm:[0,2,1]}}),R.push(z)),a&&(P=fQ({inputs:{x:A},backend:i,attrs:{perm:[0,2,1]}}),R.push(P));var B=1===b,W=z;1!==b&&(W=rQ({inputs:{x:z},backend:i,attrs:{shape:[_,O,1]}}),R.push(W));var V=1===b?2:1,U=P;B&&(U=rQ({inputs:{x:P},backend:i,attrs:{shape:[_,1,O]}}),R.push(U));var G=tQ({inputs:{a:W,b:U},backend:i});S=pQ({inputs:{x:G},backend:i,attrs:{axis:V,keepDims:!0}}),R.push(G)}else{var j=ck(t.dtype,n.dtype),H=new JZ(T,C,[_,y,b],r,a,F,L,D,M),q=[E,A];if(null!=s&&q.push(s),D&&q.push(l),M){var K=i.makeTensorInfo([],"float32",Pw(p,"float32"));q.push(K),R.push(K)}S=i.runWebGLProgram(H,q,j)}var X=rQ({inputs:{x:S},backend:i,attrs:{shape:I}});R.push(S);for(var Y=0,J=R;Y<J.length;Y++){var Z=J[Y];i.disposeIntermediateTensorInfo(Z)}return X}var vQ={kernelName:Ux,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,l=r.transposeB,c=r.activation;return mQ({a:a,b:i,transposeA:u,transposeB:l,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:c})}},gQ="return abs(x);";var yQ={kernelName:Lg,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=nZ(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=Fg().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new AZ(a.shape,gQ):new SZ(a.shape,gQ),r.runWebGLProgram(t,[a],a.dtype)}},bQ=KZ({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n"}),xQ={kernelName:zg,backendName:"webgl",kernelFunc:bQ},wQ=KZ({opSnippet:"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\nreturn log(x + sqrt(x * x - 1.0));"}),kQ={kernelName:Pg,backendName:"webgl",kernelFunc:wQ},NQ="return a + b;",IQ=XZ({opSnippet:NQ,packedOpSnippet:NQ,supportsComplex:!0,cpuKernelImpl:IJ}),SQ={kernelName:Bg,backendName:"webgl",kernelFunc:IQ},TQ=function(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((function(e,t){return"T"+t}));var n=[];this.variableNames.forEach((function(e){n.push("float v"+e+" = get"+e+"AtOutCoords();")}));var r=this.variableNames.map((function(e){return"v"+e})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        float result = "+r+";\n        setOutput(result);\n      }\n    "},CQ=function(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((function(e,t){return"T"+t}));var n=[];this.variableNames.forEach((function(e){n.push("vec4 v"+e+" = get"+e+"AtOutCoords();")}));var r=this.variableNames.map((function(e){return"v"+e})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "};var EQ={kernelName:Wg,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n;if(1===a.length)return zZ({inputs:{x:a[0]},backend:r});if(a.length>Fg().get("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 ck(e,t)})),l=a.map((function(e){return e.shape})),c=Fg().getBool("WEBGL_PACK")?new CQ(a[0].shape,l):new TQ(a[0].shape,l);return r.runWebGLProgram(c,a,u)}};var AQ={kernelName:Vg,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=ng(i,a.shape),l=u,c=XT(l,s),p=a;null!=c&&(p=fQ({inputs:{x:a},backend:n,attrs:{perm:c}}),l=JT(l.length,s)),KT("all",l,s);var h,f=HT(p.shape,l),d=f[0],m=rQ({inputs:{x:p},backend:n,attrs:{shape:[-1,Yv(f[1])]}}),v=sQ(m,m.dtype,"all",n);return h=rQ(o?{inputs:{x:v},backend:n,attrs:{shape:qT(d,u)}}:{inputs:{x:v},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}};var RQ={kernelName:Ug,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=ng(i,a.shape),l=u,c=XT(l,s),p=a;null!=c&&(p=fQ({inputs:{x:a},backend:n,attrs:{perm:c}}),l=JT(l.length,s)),KT("any",l,s);var h,f=HT(p.shape,l),d=f[0],m=rQ({inputs:{x:p},backend:n,attrs:{shape:[-1,Yv(f[1])]}}),v=sQ(m,m.dtype,"any",n);return h=rQ(o?{inputs:{x:v},backend:n,attrs:{shape:qT(d,u)}}:{inputs:{x:v},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}},_Q=function(e,t,n){this.variableNames=["A"];var r=e.windowSize,a=e.batchSize,i=e.outSize;n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,i];var o="max"===t?">":"<",s=n?"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 * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+s+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+o+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "},OQ=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Hv(e.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var a=e[e.length-1],i=Math.ceil(a/t);this.outputShape=e.slice(0,-1),i>1&&this.outputShape.push(i),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,l=u.length,c=QY(l),p=yZ("coords",l);if(1===i){var h=QY(s=l+1);o="\n        "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n        ++"+p[l-1]+";\n        "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n        ++"+p[l-2]+";\n        "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n        --"+p[l-1]+";\n        "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n        --"+p[l-2]+";"}else s=l,o="\n        "+c+" sourceLocR = coords;\n        ++"+p[l-1]+";\n        "+c+" sourceLocG = coords;\n        ++"+p[l-2]+";\n        "+c+" sourceLocA = coords;\n        --"+p[l-1]+";\n        "+c+" sourceLocB = coords;\n        --"+p[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),d="."+f[s-1],m=f.map((function(e){return"int "+e})),v=yZ("sourceLocR",s-1).concat("inIdx.r"),g=yZ("sourceLocG",s-1).concat("inIdx.g"),y=yZ("sourceLocB",s-1).concat("inIdx.b"),b=yZ("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+")));",k="vec4(\n            getAChannel("+v.join()+"),\n            hasNextCol ? getAChannel("+g.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",N=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+N+"\n      void main() {\n        "+c+" coords = getOutputCoords();\n        bool hasNextCol = "+p[l-1]+" < "+(u[l-1]-1)+";\n        bool hasNextRow = "+p[l-2]+" < "+(u[l-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n          sourceLocB"+d+", sourceLocA"+d+") * "+t+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+k+";\n\n        for (int i = 0; i < "+t+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+k+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+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 FQ(e,t,n,r){void 0===r&&(r=null);var a=t.shape[0],i=t.shape[1];null!=r&&(a=r.shape[0],i=r.shape[1]);var o=b_(i),s={windowSize:o,inSize:i,batchSize:a,outSize:Math.ceil(i/o)},u=new _Q(s,n,null==r),l=[t];null!=r&&l.push(r);var c=e.runWebGLProgram(u,l,"int32");if(1===c.shape[1])return c;var p=FQ(e,t,n,c);return e.disposeIntermediateTensorInfo(c),p}function DQ(e,t,n,r){void 0===r&&(r=null);var a=null!=r?r.shape:t.shape,i=b_(a[a.length-1]),o=new OQ(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 l=DQ(e,t,n,u);return e.disposeIntermediateTensorInfo(u),l}return u}function MQ(e,t,n,r){var a=[n];if(KT("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!Fg().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=HT(s.shape,a),l=u[0],c=Yv(u[1]),p=rQ({inputs:{x:s},backend:e,attrs:{shape:[-1,c]}});i.push(p);var h=FQ(e,p,r);i.push(h);var f=rQ({inputs:{x:h},backend:e,attrs:{shape:l}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),f}return DQ(e,t,r)}var LQ={kernelName:Gg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=ng(r.axis,a.shape),o=XT(i,a.shape.length),s=a,u=[];null!=o&&(s=fQ({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=JT(i.length,s.shape.length)),KT("argMax",[i[0]],s.shape.length);var l=MQ(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}};var zQ={kernelName:jg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=ng(r.axis,a.shape),o=XT(i,a.shape.length),s=a,u=[];null!=o&&(s=fQ({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=JT(i.length,s.shape.length)),KT("argMin",[i[0]],s.shape.length);var l=MQ(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l}},PQ=KZ({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n"}),BQ={kernelName:Hg,backendName:"webgl",kernelFunc:PQ},WQ=KZ({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),VQ={kernelName:qg,backendName:"webgl",kernelFunc:WQ},UQ=KZ({opSnippet:"if (isnan(x)) return x;\n  return atan(x);\n"}),GQ={kernelName:Kg,backendName:"webgl",kernelFunc:UQ},jQ=XZ({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\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  \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\n  return result;\n"}),HQ={kernelName:Yg,backendName:"webgl",kernelFunc:jQ},qQ=KZ({opSnippet:"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;"}),KQ={kernelName:Xg,backendName:"webgl",kernelFunc:qQ},XQ=function(e,t,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var i=e.filterWidth,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;var d="avg"===t,m="((batch  * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + d",v="(xR * "+e.inWidth+" + xC) * "+e.inChannels+" + d",g="0.0";if(d||(g="-1.0 / 1e-20"),n){this.userCode="\n        const ivec2 strides = ivec2("+o+", "+s+");\n        const ivec2 pads = ivec2("+h+", "+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 < "+c+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+p+";\n                wC += "+l+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+e.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 >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?a?m:v:"wR * "+p+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}else{var y=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(y="avgValue / count");var b=4*Math.floor(i/4),x=i%4,w="\n      if ("+d+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+h+", "+f+");\n      const float initializationValue = "+g+";\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 >= "+e.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("+g+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+c+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+b+"; wC += 4) {\n            int xC = xCCorner + wC * "+l+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              getValue(batch, xR, xC + 3 * "+l+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+b+";\n          if ("+(1===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},YQ=function(e,t,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var i=e.filterWidth,o=e.strideDepth,s=e.strideHeight,u=e.strideWidth,l=e.dilationDepth,c=e.dilationHeight,p=e.dilationWidth,h=e.effectiveFilterDepth,f=e.effectiveFilterHeight,d=e.effectiveFilterWidth,m=e.padInfo.front,v=e.padInfo.top,g=e.padInfo.left;this.outputShape=e.outShape;var y="avg"===t,b="0.0";if(y||(b="-1.0 / 1e-20"),n){this.userCode="\n        const ivec3 strides =\n            ivec3("+o+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+m+", "+v+", "+g+");\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 < "+h+";\n              wD += "+l+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+f+";\n                wR += "+c+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+d+";\n                  wC += "+p+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+e.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 >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?a?"(((batch * "+e.inDepth+" + xD) * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"((xD * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"wD * "+f+" * "+d+" +\n                      wR * "+d+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}else{var x=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(x="avgValue / count");var w=4*Math.floor(i/4),k=i%4,N="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+o+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+m+", "+v+", "+g+");\n      const float initializationValue = "+b+";\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 >= "+e.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("+b+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+h+";\n            wD += "+l+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+";\n            wR += "+c+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+p+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+p+", ch)\n              );\n\n              "+N+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+N+"\n            } else if ("+(2===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+N+"\n            } else if ("+(3===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                initializationValue\n              );\n\n              "+N+"\n            }\n          }\n          setOutput("+x+");\n        }\n      }\n    "}};var JQ={kernelName:Jg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;DY(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Hv(KS(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=zS(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Jv(l.inShape,l.outShape))return zZ({inputs:{x:a},backend:n});var c=new XQ(l,"avg",!1);return n.runWebGLProgram(c,[a],"float32")}};var ZQ={kernelName:Qg,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,l=r.dataFormat,c=PS(a.shape,i,o,[1,1,1],s,u,l),p=new YQ(c,"avg",!1);return n.runWebGLProgram(p,[a],"float32")}},QQ=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=s-1-e.padInfo.top,c=u-1-e.padInfo.left,p=1/(t*n);this.userCode="\n      const ivec2 pads = ivec2("+l+", "+c+");\n      const float avgMultiplier = float("+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 < "+s+";\n            wR += "+i+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+o+") {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.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    "},$Q=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterDepth,p=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=c-1-e.padInfo.front,d=p-1-e.padInfo.top,m=h-1-e.padInfo.left,v=1/(t*n*r);this.userCode="\n      const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n      const float avgMultiplier = float("+v+");\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 < "+c+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+a+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+p+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+l+") {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.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 e$={kernelName:$g,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,l=r.dimRoundingMode,c=PS(i.shape,o,s,[1,1,1],u,l),p=new $Q(c);return n.runWebGLProgram(p,[a],i.dtype)}};var t$={kernelName:Zg,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;DY([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=zS(o.shape,s,u,1,l),p=new QQ(c);return n.runWebGLProgram(p,[a],o.dtype)}};var n$={kernelName:ey,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return mQ({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},r$=function(e,t,n,r,a,i){this.outputShape=[],this.variableNames=["x","mean","variance"],RI(e,t),RI(e,n);var 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f=Fg().getBool("WEBGL_PACK_NORMALIZATION")?new a$(a.shape,i.shape,o.shape,p,h,l):new r$(a.shape,i.shape,o.shape,p,h,l);return n.runWebGLProgram(f,c,c[0].dtype)}},o$=function(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t=QY(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];var n,r=function(e){if(1===e)return"sourceLoc";if(e<=6)return s$.slice(0,e).map((function(e){return"sourceLoc."+e})).join(",");throw Error("Slicing for rank "+e+" is not yet supported")}(this.rank);n="\n        "+t+" sourceLoc;\n        "+t+" coords = getOutputCoords();\n        "+e.map((function(e,t){return"sourceLoc."+s$[t]+" = start["+t+"] + coords."+s$[t]+";"})).join("\n")+"\n      ",this.userCode="\n      void main() {\n        "+n+"\n        setOutput(getSource("+r+"));\n      }\n    "},s$=["x","y","z","w","u","v"];var u$=function(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];var t=QY(this.rank),n=yZ("coords",this.rank),r=yZ("sourceLoc",this.rank),a=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",i="getChannel(getSource("+r.join()+"), "+a+")",o="\n      result.x = "+i+";\n      if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+i+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+e[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+i+";\n        if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+i+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            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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=rS(t,yg(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 c$={kernelName:ox,backendName:"webgl",kernelFunc:l$},p$={kernelName:ty,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockShape,o=r.crops;Hv(a.shape.length<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var s=i.reduce((function(e,t){return e*t})),u=w_(a.shape,i,s),l=k_(u.length,i.length),c=N_(a.shape,i,s),p=I_(o,i.length),h=S_(c,o,i.length),f=[],d=rQ({inputs:{x:a},backend:n,attrs:{shape:u}}),m=fQ({inputs:{x:d},backend:n,attrs:{perm:l}}),v=rQ({inputs:{x:m},backend:n,attrs:{shape:c}}),g=l$({inputs:{x:v},backend:n,attrs:{begin:p,size:h}});return f.push(d),f.push(m),f.push(v),f.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var h$={kernelName:ny,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=SJ(s,u,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}};var f$={kernelName:ay,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=RI(Array.from(i),Array.from(o));return n.makeTensorInfo([s.length],"int32",Int32Array.from(s))}},d$=XZ({opSnippet:"return float(a != 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f=r.texData.get(i.dataId).values,d=CJ(f,i.shape,i.dtype,o),m=d[0],v=d[1],g=d[2];return r.makeTensorInfo(m,v,g)}if("int32"===o)return function(e,t){var n=new SZ(e.shape,"return float(int(x));"),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(i,r);if("bool"===o){var y=r.makeTensorInfo([],"bool",ag("bool",1)),b=d$({inputs:{a:i,b:y},backend:r});return r.disposeIntermediateTensorInfo(y),b}throw new Error("Error in Cast: failed to cast "+i.dtype+" to "+o)}},b$="return ceil(x);",x$=KZ({opSnippet:b$,packedOpSnippet:b$,cpuKernelImpl:EJ}),w$={kernelName:oy,backendName:"webgl",kernelFunc:x$},k$=function(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode="\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n   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underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "};function T$(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}var C$={kernelName:ly,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=n.texData.get(r.dataId),i=new S$(r.shape),o=[T$(r,a.complexTensorInfos.real),T$(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(i,o,o[0].dtype)}},E$=function(e){this.outputShape=[],this.outputShape=d_(e,1),this.variableNames=e.map((function(e,t){return"T"+t}));var t=new Array(e.length-1);t[0]=e[0][1];for(var n=1;n<t.length;n++)t[n]=t[n-1]+e[n][1];for(var r=["if (yC < "+t[0]+") setOutput(getT0(yR, yC));"],a=1;a<t.length;a++){var i=t[a-1];r.push("else if (yC < "+t[a]+") setOutput(getT"+a+"(yR, yC-"+i+"));")}var o=t.length,s=t[t.length-1];r.push("else setOutput(getT"+o+"(yR, yC-"+s+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},A$=function(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=d_(e,t);var n=this.outputShape,r=n.length,a=QY(r),i=yZ("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=e.map((function(e,t){return"T"+t}));var s=new Array(e.length-1);s[0]=e[0][t];for(var u=1;u<s.length;u++)s[u]=s[u-1]+e[u][t];for(var l=o[t],c=o.slice(-2),p=o.join(),h="if ("+l+" < "+s[0]+") {\n        return getChannel(\n            getT0("+p+"), vec2("+c.join()+"));\n        }",f=1;f<s.length;f++){var d=s[f-1];h+="\n        if ("+l+" < "+s[f]+"  && "+l+" >= "+s[f-1]+") {\n          return getChannel(\n            getT"+f+"("+R$(o,l,d)+"),\n            vec2("+R$(c,l,d)+"));\n        }"}var m=s.length,v=s[s.length-1];h+="\n        return getChannel(\n          getT"+m+"("+R$(o,l,v)+"),\n          vec2("+R$(c,l,v)+"));",this.userCode="\n      float getValue("+o.map((function(e){return"int "+e}))+") {\n        "+h+"\n      }\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+i+"), 0., 0., 0.);\n\n        "+i[r-1]+" = "+i[r-1]+" + 1;\n        if ("+i[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+i+");\n        }\n\n        "+i[r-2]+" = "+i[r-2]+" + 1;\n        if ("+i[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+i+");\n        }\n\n        "+i[r-1]+" = "+i[r-1]+" - 1;\n        if ("+i[r-2]+" < "+n[r-2]+" &&\n            "+i[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+i+");\n        }\n        setOutput(result);\n      }\n    "};function R$(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?e+" - "+n:e})).join()}function _$(e){var t=e.inputs,n=e.backend,r=t.input;return zZ({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}var O$={kernelName:Qy,backendName:"webgl",kernelFunc:_$};function F$(e,t,n){var r=e[0].dtype;if("complex64"===r){var a=e.map((function(e){return v$({inputs:{input:e},backend:n})})),i=e.map((function(e){return _$({inputs:{input:e},backend:n})})),o=F$(a,t,n),s=F$(i,t,n),u=BZ({inputs:{real:o,imag:s},backend:n});return a.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),i.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}var l=n.shouldExecuteOnCPU(e);if("string"===r&&(l=!0),l){var c=e.map((function(e){var r=Yv(e.shape.slice(t));return rQ({inputs:{x:e},backend:n,attrs:{shape:[-1,r]}})})),p=c.map((function(e){return{vals:n.readSync(e.dataId),shape:e.shape}})),h=d_(c.map((function(e){return e.shape})),1),f=1===c[0].shape[0],d=AJ(p,h,r,f),m=d_(e.map((function(e){return e.shape})),t),v=n.makeTensorInfo(m,r,d);return c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}var g=e.filter((function(e){return Yv(e.shape)>0})),y=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&g[0].shape.length>1;if(1===g.length){var b=y?new SZ(e[0].shape,EZ):new AZ(e[0].shape,EZ);return n.runWebGLProgram(b,e,r)}var x=Fg().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(g.length>x){for(var w=[],k=0;k<g.length;k+=x){var N=g.slice(k,k+x);w.push(F$(N,t,n))}for(var I=F$(w,t,n),S=0,T=w;S<T.length;S++){var C=T[S];n.disposeIntermediateTensorInfo(C)}return I}if(y){var E=new A$(g.map((function(e){return e.shape})),t);return n.runWebGLProgram(E,g,r)}var A=function(e,t,n){var r=d_(e.map((function(e){return e.shape})),t);return{tensors2D:e.map((function(e){return rQ({inputs:{x:e},attrs:{shape:[-1,Yv(e.shape.slice(t))]},backend:n})})),outShape:r}}(g,t,n),R=A.tensors2D,_=A.outShape,O=new E$(R.map((function(e){return e.shape}))),F=n.runWebGLProgram(O,R,r);R.forEach((function(e){return n.disposeIntermediateTensorInfo(e)}));var D=rQ({inputs:{x:F},attrs:{shape:_},backend:n});return n.disposeIntermediateTensorInfo(F),D}function D$(e){var t=e.inputs,n=e.backend,r=ng(e.attrs.axis,t[0].shape)[0];f_(t.map((function(e){return e.shape})),r);var a=d_(t.map((function(e){return e.shape})),r);if(0===Yv(a))return n.makeTensorInfo(a,t[0].dtype,[]);var i=t.filter((function(e){return Yv(e.shape)>0}));return 1===i.length?zZ({inputs:{x:i[0]},backend:n}):F$(i,r,n)}var M$={kernelName:cy,backendName:"webgl",kernelFunc:D$},L$=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var i=e.padInfo.top,o=e.padInfo.left,s=e.strideHeight,u=e.strideWidth,l=e.dilationHeight,c=e.dilationWidth,p=e.filterHeight,h=e.filterWidth,f=4*Math.floor(e.inChannels/4),d=e.inChannels%4,m="channelsLast"===e.dataFormat,v=m?1:2,g=m?2:3,y=m?3:1,b="",x="";n&&(b=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":a?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",x="result = activation(result);");var w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      "+b+"\n\n      const ivec2 strides = ivec2("+s+", "+u+");\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+y+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+v+"], coords["+g+"]) * 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 < "+p+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+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 ("+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 ("+(1===d)+") {\n\n              if ("+m+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+f+") *\n                    getW(wR, wC, "+f+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+f+", xR, xC) *\n                    getW(wR, wC, "+f+", d2);\n              }\n\n            } else if ("+(2===d)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2)\n              );\n\n              if ("+m+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===d)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2),\n                getW(wR, wC, "+f+" + 2, d2)\n              );\n\n              if ("+m+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1),\n                  getX(batch, xR, xC, "+f+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC),\n                  getX(batch, "+f+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+w+"\n        "+x+"\n        setOutput(result);\n      }\n    "},z$=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.filterDepth,p=e.filterHeight,h=e.filterWidth,f=4*Math.floor(e.inChannels/4),d=e.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+a+", "+i+", "+o+");\n      const ivec3 pads = ivec3("+t+", "+n+", "+r+");\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 < "+c+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+"; wC++) {\n              int xC = xCCorner + wC * "+l+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+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 ("+(1===d)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+f+") *\n                  getW(wF, wR, wC, "+f+", d2);\n              } else if ("+(2===d)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===d)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1),\n                  getX(batch, xF, xR, xC, "+f+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2),\n                  getW(wF, wR, wC, "+f+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},P$=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),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=e.outShape,this.enableShapeUniforms=iJ(this.outputShape.length);for(var i=e.padInfo.left,o=e.strideWidth,s=e.dilationWidth,u=e.filterHeight,l=e.filterWidth,c=l,p="\n       int xR; int xC; int xCOffset;\n       vec4 wTexel; vec4 previous; vec4 final;",h=0;h<l;h++)p+="\n           vec4 xTexelC"+2*h+";\n           int xTexelC"+2*h+"Ready;\n           vec4 xTexelC"+(2*h+1)+";\n           int xTexelC"+(2*h+1)+"Ready;\n           vec4 xC"+h+";";p+="\n     for (int r = 0; r < "+u+"; r++) {\n      for (int d1 = 0; d1 < "+e.inChannels+"; d1 += 2) {\n       ";for(var f=0;f<l;f++)p+="\n           xTexelC"+2*f+" = vec4(0.0);\n           xTexelC"+2*f+"Ready = 0;\n           xTexelC"+(2*f+1)+" = vec4(0.0);\n           xTexelC"+(2*f+1)+"Ready = 0;\n           xC"+f+" = vec4(0.0);";p+="\n         xR = xRCorner + r * dilations[0];\n         if (xR >=0 && xR < inDims[0]) {\n       ";for(var d=0;d<(c+1)/2;d++){var m=2*d;if(p+="\n           xC = xCCorner + "+m*s+";\n           ",1===o){if(m<l&&(i%2==1?(p+="\n                 xCOffset = xC + 1;\n                 if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+m+"Ready == 0) {\n                   xTexelC"+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"+m+".zw = vec2(0.0);\n                   }\n                   xTexelC"+m+"Ready = 1;\n                 }\n               ",p+=1===s&&m>0?"\n                 xC"+m+" = vec4(xTexelC"+(m-2)+".zw, xTexelC"+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"+m+" = vec4(previous.zw, xTexelC"+m+".xy);\n                   } else {\n                     xC"+m+" = vec4(0.0, 0.0, xTexelC"+m+".xy);\n                   }\n                   "):p+="\n                 if (xC >= 0 && xC < inDims[1] && xTexelC"+m+"Ready == 0) {\n                   xTexelC"+m+" = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC"+m+".zw = vec2(0.0);\n                   }\n                   xTexelC"+m+"Ready = 1;\n                 }\n\n                 xC"+m+" = xTexelC"+m+";\n                 ",m+1<l)){var v=i%2==0?Uv(s):s;s%2==0&&i%2==1||s%2!=0&&i%2!=1?(p+="\n                   xCOffset = xC + imod(pads[1], 2) + "+v+";\n\n                   if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n                     xTexelC"+(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"+(m+1)+".zw = vec2(0.0);\n                     }\n                     xTexelC"+(m+1)+"Ready = 1;\n                   }\n                   ",p+=s>1?"\n                     xCOffset -= 2;\n                     if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                      previous = getX(batch, xR, xCOffset, d1);\n                      xC"+(m+1)+" = vec4(previous.zw, xTexelC"+(m+1)+".xy);\n                     } else {\n                      xC"+(m+1)+" = vec4(0.0, 0.0, xTexelC"+(m+1)+".xy);\n                     }\n                     ":"\n                     xC"+(m+1)+" = vec4(xTexelC"+m+".zw, xTexelC"+(m+1)+".xy);\n                     "):p+=1===v?"\n                     xC"+(m+1)+" = xTexelC"+m+";\n                     ":"\n                     xCOffset = xC + "+v+";\n\n                     if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n                       xTexelC"+(m+1)+" = getX(batch, xR, xCOffset, d1);\n                       if (xCOffset + 1 >= inDims[1]) {\n                         xTexelC"+(m+1)+".zw = vec2(0.0);\n                       }\n                       xTexelC"+(m+1)+"Ready = 1;\n                     }\n\n                     xC"+(m+1)+" = xTexelC"+(m+1)+";\n                     "}}else m<l&&(i%2==1?(p+="\n                 xCOffset = xC + 1 - strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+m+"Ready == 0) {\n                   xTexelC"+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"+m+".zw = vec2(0.0);\n                   }\n                   xTexelC"+m+"Ready = 1;\n                 }\n\n                 if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n                   xTexelC"+(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"+(m+1)+".zw = vec2(0.0);\n                   }\n                   xTexelC"+(m+1)+"Ready = 1;\n                 }\n\n                 xC"+m+" = vec4(xTexelC"+m+".zw, xTexelC"+(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"+(m+1)+" = vec4(xTexelC"+(m+1)+".xy, final.xy);\n                 ")):(p+="\n                 if(xC >= 0 && xC < inDims[1] && xTexelC"+m+"Ready == 0) {\n                   xTexelC"+m+" = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC"+m+".zw = vec2(0.0);\n                   }\n                   xTexelC"+m+"Ready = 1;\n                 }\n\n                 xCOffset = xC + strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(m+1)+"Ready == 0) {\n                   xTexelC"+(m+1)+" = getX(batch, xR, xCOffset, d1);\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC"+(m+1)+".zw = vec2(0.);\n                   }\n                   xTexelC"+(m+1)+"Ready = 1;\n                 }\n\n                 xC"+m+" = vec4(\n                   xTexelC"+m+".xy, xTexelC"+(m+1)+".xy);\n               ",m+1<l&&(p+="\n                   xC"+(m+1)+" = vec4(xTexelC"+m+".zw, xTexelC"+(m+1)+".zw);\n                 ")));m<l&&(p+="\n             wTexel = getW(r, "+m+", d1, d2);\n             dotProd += xC"+m+".xxzz * vec4(wTexel.xy, wTexel.xy);\n             if(d1 + 1 < "+e.inChannels+") {\n               dotProd += xC"+m+".yyww * vec4(wTexel.zw, wTexel.zw);\n             }\n           ",m+1<l&&(p+="\n               wTexel = getW(r, "+(m+1)+", d1, d2);\n               dotProd += xC"+(m+1)+".xxzz * vec4(wTexel.xy, wTexel.xy);\n               if(d1 + 1 < "+e.inChannels+") {\n                 dotProd += xC"+(m+1)+".yyww * vec4(wTexel.zw, wTexel.zw);\n               }\n             "))}p+="\n     }\n   ",p+="\n     }\n   ",p+="\n     }\n   ";var g="",y="";n&&(g=r?"vec4 activation(vec4 a) {\n           vec4 b = getPreluActivationWeightsAtOutCoords();\n           "+n+"\n         }":a?"vec4 activation(vec4 a) {\n           vec4 b = getLeakyreluAlphaAtOutCoords();\n           "+n+"\n         }":"vec4 activation(vec4 x) {\n           "+n+"\n         }",y="result = activation(result);");var b=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n       "+g+"\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         "+p+"\n\n         vec4 result = dotProd - vec4(0.000000000000001);\n         "+b+"\n         "+y+"\n         setOutput(result);\n       }\n     "},B$=function(e,t){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=e,this.enableShapeUniforms=iJ(this.outputShape.length);for(var n=t.dataFormat,r=LY(),a="channelsLast"===n,i=a?1:2,o=a?2:3,s=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":"if(blockIndex < "+e[2]+" && pos < "+e[1]+") {",u="",l=0;l<=1;l++)for(var c=0;c<=1;c++)u+="\n          blockIndex = rc.z + "+c+";\n          pos = rc.y + "+l+";\n\n          "+s+"\n            offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];\n            d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);\n\n            if(d0 < inputShape["+i+"] && 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["+o+"] && d1 >= 0) {\n\n                ch = imod(pos, inChannels);\n\n                if ("+a+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*l+c)+"] = getChannel(\n                    getA(rc.x, d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*l+c)+"] = 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        "+u+"\n\n        "+r.output+" = result;\n      }\n    "};function W$(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 V$(e){var t,n=e.x,r=e.filter,a=e.convInfo,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,l=void 0===u?null:u,c=e.leakyreluAlpha,p=void 0===c?0:c,h=e.activation,f=void 0===h?null:h,d=n.shape,m=i.texData.get(n.dataId),v=a.inChannels,g=d[0]*d[1]*d[2],y=a.outChannels,b="channelsLast"===a.dataFormat,x=[];if(null!=l){var w=W$(l.shape,b);null!=w&&(l=rQ({inputs:{x:l},backend:i,attrs:{shape:w}}),x.push(l))}if(null!=s){var k=W$(s.shape,b);null!=k&&(s=rQ({inputs:{x:s},backend:i,attrs:{shape:k}}),x.push(s))}if(!((1===g||1===y)&&v>1e3)&&m.isPacked&&b&&null!=m.texture&&d[2]%2!=0&&Jv(m.shape.slice(-3),d.slice(-3))){var N=d[0]*d[1]*(d[2]+1),I={dataId:n.dataId,shape:[1,N,a.inChannels],dtype:n.dtype},S=m.shape;m.shape=m.shape.slice(),m.shape[m.shape.length-2]++,Hv(AY(m.shape,I.shape),(function(){return"packed reshape "+m.shape+" to "+I.shape+" isn't free"}));var T=rQ({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});x.push(T);var C=mQ({a:I,b:T,backend:i,transposeA:!1,transposeB:false,bias:s,activation:f,preluActivationWeights:l,leakyreluAlpha:p}),E=i.texData.get(C.dataId);Hv(E.isPacked,(function(){return"batchMatMul result is expected to be packed"})),m.shape=S,E.shape=a.outShape,(t=zZ({inputs:{x:C},backend:i})).shape=a.outShape,x.push(C)}else{var A=a.outHeight*a.outWidth,R=rQ({inputs:{x:n},backend:i,attrs:{shape:b?[a.batchSize,A,a.inChannels]:[a.batchSize,a.inChannels,A]}}),_=rQ({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),O=mQ({a:b?R:_,b:b?_:R,transposeA:!b,transposeB:false,backend:i,bias:s,activation:f,preluActivationWeights:l,leakyreluAlpha:p});t=rQ({inputs:{x:O},backend:i,attrs:{shape:a.outShape}}),x.push(R),x.push(_),x.push(O)}for(var F=0,D=x;F<D.length;F++){var M=D[F];i.disposeIntermediateTensorInfo(M)}return t}function U$(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,l=e.leakyreluAlpha,c=void 0===l?0:l,p=e.activation,h=void 0===p?null:p,f=r.filterWidth,d=r.filterHeight,m=r.inChannels,v=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=f*d*m,x=g*v,w=[r.batchSize,b,x],k=[];if(null!=u){var N=W$(u.shape,y);null!=N&&(u=rQ({inputs:{x:u},backend:a,attrs:{shape:N}}),k.push(u))}if(null!=o){var I=W$(o.shape,y);null!=I&&(o=rQ({inputs:{x:o},backend:a,attrs:{shape:I}}),k.push(o))}var S=rQ({inputs:{x:n},backend:a,attrs:{shape:[1,b,Yv(n.shape)/b]}});k.push(S);var T=new B$(w,r),C=[t.shape,[r.padInfo.top,r.padInfo.left],[r.strideHeight,r.strideWidth],[r.dilationHeight,r.dilationWidth],[r.inChannels],[r.filterWidth*r.inChannels],[r.outWidth]],E=a.runWebGLProgram(T,[t],"float32",C),A=rQ({inputs:{x:E},backend:a,attrs:{shape:w}});k.push(E),k.push(A);var R=null!=o,_=null!=u,O="leakyrelu"===h,F=h?YZ(h,!0):null,D=new JZ(y?A.shape:S.shape,y?S.shape:A.shape,y?[r.batchSize,x,r.outChannels]:[r.batchSize,r.outChannels,x],!0,!1,R,F,_,O),M=y?[A,S]:[S,A];if(o&&M.push(o),_&&M.push(u),O){var L=a.makeTensorInfo([],"float32",Pw(c,"float32"));M.push(L),k.push(L)}var z=a.runWebGLProgram(D,M,"float32"),P=rQ({inputs:{x:z},backend:a,attrs:{shape:r.outShape}});k.push(z);for(var B=0,W=k;B<W.length;B++){var V=W[B];a.disposeIntermediateTensorInfo(V)}return P}var G$={kernelName:py,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,l=a.dataFormat,c=a.dilations,p=a.dimRoundingMode,h=XS(l),f=BS(i.shape,o.shape,s,c,u,p,!1,h);if(1!==f.filterHeight||1!==f.filterWidth||1!==f.dilationHeight||1!==f.dilationWidth||1!==f.strideHeight||1!==f.strideWidth||"SAME"!==f.padInfo.type&&"VALID"!==f.padInfo.type)if(f.strideWidth<=2&&"channelsLast"===h&&Fg().getBool("WEBGL_EXP_CONV")){var d=new P$(f),m=[[f.padInfo.top,f.padInfo.left],[f.strideHeight,f.strideWidth],[f.dilationHeight,f.dilationWidth],[f.inHeight,f.inWidth]];t=r.runWebGLProgram(d,[i,o],"float32",m)}else if(Fg().getBool("WEBGL_CONV_IM2COL"))t=U$({x:i,filter:o,convInfo:f,backend:r});else{var v=new L$(f);t=r.runWebGLProgram(v,[i,o],"float32")}else t=V$({x:i,filter:o,convInfo:f,backend:r});var g=rQ({inputs:{x:t},backend:r,attrs:{shape:f.outShape}});return r.disposeIntermediateTensorInfo(t),g}},j$=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i="channelsLast"===e.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              if ("+i+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},H$=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i="channelsLast"===e.dataFormat,o=t-1-e.padInfo.top,s=n-1-e.padInfo.left,u=i?1:2,l=i?2:3,c=i?3:1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+c+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+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 < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n\n              if ("+i+") {\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    "},q$=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.padInfo.front,i=e.padInfo.top,o=e.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yF = 0; yF < "+e.outDepth+"; yF++) {\n            int xF = wF + yF * "+t+" - "+a+";\n\n            if (xF < 0 || xF >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+i+";\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+o+";\n\n                if (xC < 0 || xC >= "+e.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},K$=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=t-1-e.padInfo.front,u=n-1-e.padInfo.top,l=r-1-e.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+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 < "+t+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+a+".0;\n\n          if (dyF < 0.0 || dyF >= "+e.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+t+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,l=r.dimRoundingMode,c=r.filterShape,p=XS(u),h=BS(a.shape,c,o,1,s,l,!1,p),f=new j$(h);return n.runWebGLProgram(f,[a,i],"float32")}};var Y$={kernelName:fy,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,l=r.dataFormat,c=r.dimRoundingMode,p=XS(l),h=BS(o,i.shape,s,1,u,c,!1,p),f=new H$(h);return n.runWebGLProgram(f,[a,i],"float32")}};var J$={kernelName:dy,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,l=WS(a.shape,i.shape,o,u,s),c=new z$(l);return n.runWebGLProgram(c,[a,i],"float32")}};var Z$={kernelName:my,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,l=WS(a.shape,u,o,1,s),c=new q$(l);return n.runWebGLProgram(c,[a,i],"float32")}};var Q$,$$={kernelName:vy,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=WS(r.inputShape,i.shape,s,1,o),l=new K$(u);return n.runWebGLProgram(l,[a,i],"float32")}},e0=KZ({opSnippet:"if (isnan(x)) return x;\n  return cos(x);\n"}),t0={kernelName:gy,backendName:"webgl",kernelFunc:e0},n0=KZ({opSnippet:"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n"}),r0={kernelName:yy,backendName:"webgl",kernelFunc:n0},a0=function(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3],l=t[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=o-1+".0",d=s-1+".0",m=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+f+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+f],v=m[0],g=m[1],y=m[2],b=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+d+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+d],x=b[0],w=b[1],k=b[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+x+");\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 >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+g+";\n        float width_scale = "+w+";\n\n        float in_y = "+y+";\n        if( in_y < 0.0 || in_y > "+f+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+k+";\n        if( in_x < 0.0 || in_x > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+h+" == 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    "},i0={kernelName:wy,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,l=r.extrapolationValue,c=new a0(a.shape,i.shape,s,u,l);return n.runWebGLProgram(c,[a,i,o],"float32")}};!function(e){e.Prod="*",e.Sum="+"}(Q$||(Q$={}));var o0=function(e,t,n,r){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];var a=this.outputShape.length,i=this.op===Q$.Prod?"1.0":"0.0",o=n?i:"getX("+s0(a,"coords",this.op)+")",s=this.outputShape[this.outputShape.length-1],u="",l="";n?(u=r?"end != "+(s-1):"end != 0",l=r?"end + 1":"end - 1"):(u=r?"end + pow2 < "+s:"end >= pow2",l=r?"end + pow2":"end - pow2"),this.userCode="\n      void main() {\n        "+QY(a)+" coords = getOutputCoords();\n        int end = "+u0(a,"coords",this.op)+";\n        float val 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c=u.shape[l],p=zZ({inputs:{x:u},backend:n}),h=0;h<=Math.ceil(Math.log2(c))-1;h++){var f=new o0(e,u.shape,!1,i),d=[[h]],m=p;p=n.runWebGLProgram(f,[p],p.dtype,d),n.disposeIntermediateTensorInfo(m)}if(a){var v=new o0(e,u.shape,a,i),g=p;p=n.runWebGLProgram(v,[p],p.dtype),n.disposeIntermediateTensorInfo(g)}if(null!=s){var y=fQ({inputs:{x:p},backend:n,attrs:{perm:YT(s)}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(u),y}return p}var c0={kernelName:by,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 l0(Q$.Prod,a,n,i,o,s)}};var p0={kernelName:xy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return l0(Q$.Sum,a,n,i,o,s)}};var h0={kernelName:ky,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),l=n.readSync(i.dataId),c=SJ(u,l,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,c)}if(2===a.shape.length){var p=n.bufferSync(a),h=n.bufferSync(i),f=TJ(p,h,o,s);return n.makeTensorInfo(f.shape,i.dtype,f.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+a.shape.length+".")}},f0=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+t+";\n      int offset_h = imod(h, "+t+");\n      int in_w = w / "+t+";\n      int offset_w = imod(w, "+t+");\n      int offset_d = (offset_h * "+t+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}var t=e.prototype;return t.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},e}();var d0={kernelName:Ny,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,l=("NHWC"===o?a.shape[2]:a.shape[3])*i,c=("NHWC"===o?a.shape[3]:a.shape[1])/(i*i),p=new f0("NHWC"===o?[s,u,l,c]:[s,c,u,l],i,o);return n.runWebGLProgram(p,[a],a.dtype)}},m0=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=iJ(this.outputShape.length);var i=e.filterHeight,o=e.filterWidth,s=e.outChannels/e.inChannels,u="",l="";n&&(u=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":a?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",l="result = activation(result);");var c=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      "+u+"\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 / "+s+";\n        int q = d2 - d1 * "+s+";\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 < "+i+"; 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 < "+o+"; 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        "+c+"\n        "+l+"\n        setOutput(result);\n      }\n    "},v0=function(e,t,n,r,a){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),void 0===a&&(a=!1),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=e.outShape,this.enableShapeUniforms=iJ(this.outputShape.length);for(var i=e.outChannels/e.inChannels,o=e.padInfo.left,s=e.strideWidth,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,p=c,h="\n      int xR; int xC; int xCOffset;\n      vec4 wTexel; vec4 previous; vec4 final;",f=0;f<c;f++)h+="\n          vec4 xTexelC"+2*f+";\n          int xTexelC"+2*f+"Ready;\n          vec4 xTexelC"+(2*f+1)+";\n          int xTexelC"+(2*f+1)+"Ready;\n          vec4 xC"+f+";";h+="\n    for (int r = 0; r < "+l+"; r++) {\n      ";for(var d=0;d<c;d++)h+="\n          xTexelC"+2*d+" = vec4(0.0);\n          xTexelC"+2*d+"Ready = 0;\n          xTexelC"+(2*d+1)+" = vec4(0.0);\n          xTexelC"+(2*d+1)+"Ready = 0;\n          xC"+d+" = vec4(0.0);";h+="\n        xR = xRCorner + r * dilations[0];\n        if (xR >=0 && xR < inDims[0]) {\n      ";for(var m=0;m<(p+1)/2;m++){var v=2*m;if(h+="\n          xC = xCCorner + "+v*u+";\n          ",1===s){if(v<c&&(o%2==1?(h+="\n                xCOffset = xC + 1;\n                if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+v+"Ready == 0) {\n                  xTexelC"+v+" = 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"+v+".zw = vec2(0.0);\n                  }\n                  xTexelC"+v+"Ready = 1;\n                }\n              ",h+=1===u&&v>0?"\n                xC"+v+" = vec4(xTexelC"+(v-2)+".zw, xTexelC"+v+".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"+v+" = vec4(previous.zw, xTexelC"+v+".xy);\n                  } else {\n                    xC"+v+" = vec4(0.0, 0.0, xTexelC"+v+".xy);\n                  }\n                  "):h+="\n                if (xC >= 0 && xC < inDims[1] && xTexelC"+v+"Ready == 0) {\n                  xTexelC"+v+" = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC"+v+".zw = vec2(0.0);\n                  }\n                  xTexelC"+v+"Ready = 1;\n                }\n\n                xC"+v+" = xTexelC"+v+";\n                ",v+1<c)){var g=o%2==0?Uv(u):u;u%2==0&&o%2==1||u%2!=0&&o%2!=1?(h+="\n                  xCOffset = xC + imod(pads[1], 2) + "+g+";\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n                    xTexelC"+(v+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"+(v+1)+".zw = vec2(0.0);\n                    }\n                    xTexelC"+(v+1)+"Ready = 1;\n                  }\n                  ",h+=u>1?"\n                    xCOffset -= 2;\n                    if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                     previous = getX(batch, xR, xCOffset, d1);\n                     xC"+(v+1)+" = vec4(previous.zw, xTexelC"+(v+1)+".xy);\n                    } else {\n                     xC"+(v+1)+" = vec4(0.0, 0.0, xTexelC"+(v+1)+".xy);\n                    }\n                    ":"\n                    xC"+(v+1)+" = vec4(xTexelC"+v+".zw, xTexelC"+(v+1)+".xy);\n                    "):h+=1===g?"\n                    xC"+(v+1)+" = xTexelC"+v+";\n                    ":"\n                    xCOffset = xC + "+g+";\n\n                    if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n                      xTexelC"+(v+1)+" = getX(batch, xR, xCOffset, d1);\n                      if (xCOffset + 1 >= inDims[1]) {\n                        xTexelC"+(v+1)+".zw = vec2(0.0);\n                      }\n                      xTexelC"+(v+1)+"Ready = 1;\n                    }\n\n                    xC"+(v+1)+" = xTexelC"+(v+1)+";\n                    "}}else v<c&&(o%2==1?(h+="\n                xCOffset = xC + 1 - strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+v+"Ready == 0) {\n                  xTexelC"+v+" = 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"+v+".zw = vec2(0.0);\n                  }\n                  xTexelC"+v+"Ready = 1;\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n                  xTexelC"+(v+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"+(v+1)+".zw = vec2(0.0);\n                  }\n                  xTexelC"+(v+1)+"Ready = 1;\n                }\n\n                xC"+v+" = vec4(xTexelC"+v+".zw, xTexelC"+(v+1)+".zw);\n              ",v+1<c&&(h+="\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"+(v+1)+" = vec4(xTexelC"+(v+1)+".xy, final.xy);\n                ")):(h+="\n                if(xC >= 0 && xC < inDims[1] && xTexelC"+v+"Ready == 0) {\n                  xTexelC"+v+" = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC"+v+".zw = vec2(0.0);\n                  }\n                  xTexelC"+v+"Ready = 1;\n                }\n\n                xCOffset = xC + strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC"+(v+1)+"Ready == 0) {\n                  xTexelC"+(v+1)+" = getX(batch, xR, xCOffset, d1);\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC"+(v+1)+".zw = vec2(0.);\n                  }\n                  xTexelC"+(v+1)+"Ready = 1;\n                }\n\n                xC"+v+" = vec4(\n                  xTexelC"+v+".xy, xTexelC"+(v+1)+".xy);\n              ",v+1<c&&(h+="\n                  xC"+(v+1)+" = vec4(xTexelC"+v+".zw, xTexelC"+(v+1)+".zw);\n                ")));v<c&&(h+="\n            wTexel = getW(r, "+v+", d1, q);\n            dotProd += xC"+v+" * vec4(wTexel.xz, wTexel.xz);\n          ",v+1<c&&(h+="\n              wTexel = getW(r, "+(v+1)+", d1, q);\n              dotProd += xC"+(v+1)+" * vec4(wTexel.xz, wTexel.xz);\n            "))}h+="\n    }\n  ",h+="\n      }\n    ";var y="",b="";n&&(y=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":a?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",b="result = activation(result);");var x=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      "+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 d1 = d2 / "+i+";\n        int q = d2 - d1 * "+i+";\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        "+h+"\n\n        vec4 result = dotProd - vec4(0.000000000000001);\n        "+x+"\n        "+b+"\n        setOutput(result);\n      }\n    "};var g0={kernelName:Iy,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,l=r.dimRoundingMode,c=u;null==c&&(c=[1,1]),Hv(KS(o,c),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p,h=BS(a.shape,i.shape,o,c,s,l,!0);p=Fg().getBool("WEBGL_PACK_DEPTHWISECONV")&&h.strideWidth<=2&&h.outChannels/h.inChannels==1?new v0(h):new m0(h);var f=[[h.padInfo.top,h.padInfo.left],[h.strideHeight,h.strideWidth],[h.dilationHeight,h.dilationWidth],[h.inHeight,h.inWidth]];return n.runWebGLProgram(p,[a,i],"float32",f)}},y0=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.outChannels/e.inChannels;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 dm = coords.w;\n        int d2 = d1 * "+i+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.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    "},b0=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\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 < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + 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 x0={kernelName:Sy,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,l=r.dimRoundingMode,c=r.filterShape,p=BS(a.shape,c,o,s,u,l,!0),h=new y0(p);return n.runWebGLProgram(h,[a,i],"float32")}};var w0={kernelName:Ty,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,l=r.dimRoundingMode,c=BS(r.inputShape,i.shape,o,s,u,l,!0),p=new b0(c);return n.runWebGLProgram(p,[a,i],"float32")}},k0=function(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "};var N0={kernelName:Cy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=[].concat(r.shape,r.shape),i=Yv(r.shape),o=rQ({inputs:{x:r},backend:n,attrs:{shape:[i]}}),s=new k0(i),u=n.runWebGLProgram(s,[o],o.dtype),l=rQ({inputs:{x:u},backend:n,attrs:{shape:a}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),l}},I0=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo,a=e.strideHeight,i=e.strideWidth,o=e.filterHeight,s=e.filterWidth,u=e.dilationHeight,l=e.dilationWidth,c=r.top,p=r.left;this.userCode="\n      const ivec2 strides = ivec2("+a+", "+i+");\n      const ivec2 pads = ivec2("+c+", "+p+");\n      const float neg_infinity = -3.4e38;\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.w;\n        ivec2 outTopLeftCorner =\n            coords.yz * strides - pads;\n        int hBeg = outTopLeftCorner.x;\n        int wBeg = outTopLeftCorner.y;\n\n        float curVal = neg_infinity;\n        for (int h = 0; h < "+o+"; h++) {\n          int hIn = hBeg + h * "+u+";\n\n          if (hIn >= 0 && hIn < "+t+") {\n            for (int w = 0; w < "+s+"; w++) {\n              int wIn = wBeg + w * "+l+";\n\n              if (wIn >= 0 && wIn < "+n+") {\n                float xVal = getX(batch, hIn, wIn, d1);\n                float wVal = getW(h, w, d1);\n\n                float val = xVal + wVal;\n                if (val > curVal) {\n                  curVal = val;\n                }\n              }\n            }\n          }\n        }\n\n        float result = curVal;\n        setOutput(result);\n      }\n    "};var S0={kernelName:Ey,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,l=a.dilations,c=LS(i.shape,o.shape,s,u,"NHWC",l),p=new I0(c),h=rQ({inputs:{x:t=r.runWebGLProgram(p,[i,o],"float32")},backend:r,attrs:{shape:c.outShape}});return r.disposeIntermediateTensorInfo(t),h}};var T0={kernelName:Oy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,a=j_(e.attrs.equation,r.length),i=a.allDims,o=a.summedDims,s=a.idDims;q_(i.length,s,r);for(var u=K_(o,s),l=u.path,c=u.steps,p=c.length,h=null,f=i.length,d=[],m=0;m<p;++m){for(var v,g=Lv(c[m]);!(v=g()).done;){var y=v.value,b=H_(f,s[y]),x=b.permutationIndices,w=b.expandDims,k=void 0;X_(x)?k=r[y]:(k=fQ({inputs:{x:r[y]},backend:n,attrs:{perm:x}}),d.push(k));for(var N=k.shape.slice(),I=0;I<w.length;++I)N.splice(w[I],0,1);Jv(k.shape,N)||(k=rQ({inputs:{x:k},backend:n,attrs:{shape:N}}),d.push(k)),null===h?h=k:(h=tQ({inputs:{a:k,b:h},backend:n}),d.push(h))}m<p-1&&(l[m]>=0&&(h=pQ({inputs:{x:h},backend:n,attrs:{axis:l[m]-(i.length-f),keepDims:!1}}),d.push(h)),f--)}for(var S=0,T=d;S<T.length;S++){var C=T[S];C!==h&&n.disposeIntermediateTensorInfo(C)}return h}},C0=KZ({opSnippet:"return (x >= 0.0) ? x : (exp(x) - 1.0);",packedOpSnippet:"\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"}),E0={kernelName:Fy,backendName:"webgl",kernelFunc:C0},A0={kernelName:Dy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.dy,a=t.y,i=Fg().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new LZ("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",r.shape,a.shape):new MZ("return (b >= 1.0) ? a : a * (b + 1.0);",r.shape,a.shape);return n.runWebGLProgram(i,[r,a],r.dtype)}},R0=XZ({opSnippet:"return float(a == b);",packedOpSnippet:"\n  return vec4(equal(a, b));\n",dtype:"bool",cpuKernelImpl:RJ}),_0={kernelName:Ly,backendName:"webgl",kernelFunc:R0},O0=KZ({opSnippet:'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n'}),F0={kernelName:My,backendName:"webgl",kernelFunc:O0},D0=KZ({opSnippet:"if (isnan(x)) return x;\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:_J,dtype:"float32"}),M0={kernelName:zy,backendName:"webgl",kernelFunc:D0};function L0(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&&(Hv(-(o+1)<=a,(function(){return"Axis must be in the interval ["+-(o+1)+", "+o+"]"})),u=o+a+1),s.splice(u,0,1),rQ({inputs:{x:i},backend:r,attrs:{shape:s}})}var z0={kernelName:Py,backendName:"webgl",kernelFunc:L0},P0="return exp(x) - 1.0;",B0=KZ({opSnippet:P0,packedOpSnippet:P0,cpuKernelImpl:OJ}),W0={kernelName:By,backendName:"webgl",kernelFunc:B0},V0=function(e,t,n){this.variableNames=["real","imag"];var r=t[1];this.outputShape=t;var a,i=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,o=n?r+".0":"1.0";if("real"===e)a="return real * expR - imag * expI;";else{if("imag"!==e)throw new Error('FFT component must be either "real" or "imag", got '+e+".");a="return real * expI + imag * expR;"}this.userCode="\n      const float exponentMultiplier = "+i+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+a+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; 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) / "+o+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "};function U0(e,t,n){var r=n.texData.get(e.dataId),a=Yv(e.shape),i=e.shape[e.shape.length-1],o=rQ({inputs:{x:e},backend:n,attrs:{shape:[a/i,i]}}),s=o.shape,u=new V0("real",s,t),l=new V0("imag",s,t),c=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:s},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:s}],p=n.runWebGLProgram(u,c,"float32"),h=n.runWebGLProgram(l,c,"float32"),f=BZ({inputs:{real:p,imag:h},backend:n});n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h);var d=rQ({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(f),d}var G0={kernelName:Wy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return U0(t.input,!1,n)}},j0=function(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode="\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "};function H0(e){var t=e.backend,n=e.attrs,r=n.shape,a=n.value,i=n.dtype;if("string"===(i=i||mg(a))){var o=ig(i,Yv(r));return o.fill(a),t.makeTensorInfo(r,i,o)}var s=new j0(r,a),u=[[a]];return t.runWebGLProgram(s,[],i,u)}var q0,K0={kernelName:Vy,backendName:"webgl",kernelFunc:H0},X0=function(e){this.variableNames=["Image"],this.outputShape=[];var t=e[2];this.outputShape=e,this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n\n          int coordX = "+t+" - x - 1;\n          float outputValue;\n          if(coordX >= 0 && coordX < "+t+") {\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    "},Y0={kernelName:Uy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.image,a=n,i=new X0(r.shape);return a.runWebGLProgram(i,[r],r.dtype)}},J0="return floor(x);",Z0=KZ({opSnippet:J0,packedOpSnippet:J0,cpuKernelImpl:FJ}),Q0={kernelName:Gy,backendName:"webgl",kernelFunc:Z0},$0=XZ({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  }\n",packedOpSnippet:"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n",dtype:"int32"}),e1={kernelName:jy,backendName:"webgl",kernelFunc:$0},t1=function(e){this.variableNames=["A"];var t=LY(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+t.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},n1=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var t=LY(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+t.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+t.output+" = result;\n      }\n    "},r1={kernelName:Wx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.pixels,i=r.numChannels,o="undefined"!=typeof HTMLVideoElement&&a instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&a instanceof HTMLImageElement,u=o?[a.videoWidth,a.videoHeight]:[a.width,a.height],l=u[0],c=u[1],p=[c,l],h=[c,l,i];if(s||o){var f=Fg().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");null!=q0&&f===a1||(a1=f,q0=document.createElement("canvas").getContext("2d",{willReadFrequently:a1})),q0.canvas.width=l,q0.canvas.height=c,q0.drawImage(a,0,0,l,c),a=q0.canvas}var d=n.makeTensorInfo(p,"int32");n.texData.get(d.dataId).usage=tY.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(d.dataId),a);var m=Fg().getBool("WEBGL_PACK")?new n1(h):new t1(h),v=n.runWebGLProgram(m,[d],"int32");return n.disposeData(d.dataId),v}},a1=Fg().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");var i1={kernelName:Gx,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=n.bias,u=n.preluActivationWeights,l=a.strides,c=a.pad,p=a.dataFormat,h=a.dilations,f=a.dimRoundingMode,d=a.activation,m=a.leakyreluAlpha,v=XS(p),g=BS(i.shape,o.shape,l,h,c,f,!1,v),y=[],b=null!=s,x=null!=u,w="leakyrelu"===d,k=function(){var e=[i,o],t=function(e,t){if("NCHW"===t&&1===e.shape.length&&1!==e.shape[0]){var n=rQ({inputs:{x:e},backend:r,attrs:{shape:[e.shape[0],1,1]}});return y.push(n),n}return e};if(b&&e.push(t(s,p)),x&&e.push(t(u,p)),w){var n=r.makeTensorInfo([],"float32",Pw(m,"float32"));e.push(n),y.push(n)}return e};if(1!==g.filterHeight||1!==g.filterWidth||1!==g.dilationHeight||1!==g.dilationWidth||1!==g.strideHeight||1!==g.strideWidth||"SAME"!==g.padInfo.type&&"VALID"!==g.padInfo.type)if(g.strideWidth<=2&&"channelsLast"===v&&Fg().getBool("WEBGL_EXP_CONV")){var N=d?YZ(d,!0):null,I=new P$(g,b,N,x,w),S=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],T=k();t=r.runWebGLProgram(I,T,"float32",S)}else if(Fg().getBool("WEBGL_CONV_IM2COL"))t=U$({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:d,preluActivationWeights:u,leakyreluAlpha:m});else{var C=d?YZ(d,!1):null,E=new L$(g,b,C,x,w),A=k();t=r.runWebGLProgram(E,A,"float32")}else t=V$({x:i,filter:o,convInfo:g,backend:r,bias:s,activation:d,preluActivationWeights:u,leakyreluAlpha:m});var R=rQ({inputs:{x:t},backend:r,attrs:{shape:g.outShape}});return y.push(t),y.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),R}};var o1={kernelName:jx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=t.bias,s=t.preluActivationWeights,u=r.strides,l=r.pad,c=r.dilations,p=r.dimRoundingMode,h=r.activation,f=r.leakyreluAlpha,d=[],m=c;null==m&&(m=[1,1]),Hv(KS(u,m),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+u+" and dilations '"+m+"'"}));var v,g=BS(a.shape,i.shape,u,m,l,p,!0),y=Fg().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,b=h?YZ(h,y):null,x=[a,i],w=null!=o,k=null!=s,N="leakyrelu"===h;if(w&&x.push(o),k&&x.push(s),N){var I=n.makeTensorInfo([],"float32",Pw(f,"float32"));x.push(I),d.push(I)}v=y?new v0(g,w,b,k,N):new m0(g,w,b,k,N);var S=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],T=n.runWebGLProgram(v,x,"float32",S);return d.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),T}},s1=function(e,t,n,r){this.sliceDim=e,this.strides=t,this.paramsShape=r,this.variableNames=["x","indices"],this.outputShape=n;for(var a=QY(n.length),i="\n    int index;",o=0;o<this.sliceDim;o++)i+="\n          index = round(getIndices(coords[0], "+o+"));\n          out_of_bounds = out_of_bounds || index < 0;\n          out_of_bounds = out_of_bounds || index >= "+this.paramsShape[o]+";\n          flattenIndex += index * "+this.strides[o]+";";this.userCode="\n         void main() {\n          "+a+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          bool out_of_bounds = false;\n\n          "+i+"\n\n          setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n        }\n      "};var u1={kernelName:Ky,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.params,a=t.indices,i=a.shape,o=i[i.length-1],s=Yv(r.shape),u=WI(r,a),l=u[0],c=u[1],p=u[2],h=u[3],f=rQ({inputs:{x:a},backend:n,attrs:{shape:[c,o]}}),d=rQ({inputs:{x:r},backend:n,attrs:{shape:[Yv(r.shape)/p,p]}});if(n.shouldExecuteOnCPU([r,a])||"string"===r.dtype){var m=n.readSync(a.dataId),v=n.bufferSync(r),g=DJ(m,v,r.dtype,c,o,p,h,r.shape,s);return n.makeTensorInfo(l,r.dtype,g.values)}var y=new s1(o,h,[c,p],r.shape),b=n.runWebGLProgram(y,[d,f],d.dtype),x=rQ({inputs:{x:b},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(b),x}},l1=function(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;var n=QY(this.rank),r=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(""+n[a]);return r.join()}(e);this.userCode="\n      void main() {\n        "+n+" resRC = getOutputCoords();\n        int index = int(getIndices(resRC.x, resRC.z));\n        float inBounds = (index >= 0) && (index < "+e[2]+") ? 1.0 : 0.0;\n        setOutput(inBounds * getA("+r+"));\n      }\n    "};function c1(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=ng(o,a.shape)[0];Fg().get("DEBUG")&&function(){for(var e=n.readSync(i.dataId),t=a.shape[u],r=function(n){var r=e[n];Hv(r<=t-1&&r>=0,(function(){return"GatherV2: the index value "+r+" is not in [0, "+(t-1)+"]"}))},o=0;o<e.length;++o)r(o)}();var l=pO(a,i,u,s),c=Yv(i.shape),p=[],h=rQ({inputs:{x:a},backend:n,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=rQ({inputs:{x:i},backend:n,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(h),p.push(f);var d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(n.shouldExecuteOnCPU([a,i])||"string"===a.dtype){var m=n.bufferSync(f),v=n.bufferSync(h),g=MJ(v,m,d);return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(l.outputShape,g.dtype,g.values)}var y=new l1(h.shape,d),b=n.runWebGLProgram(y,[h,f],h.dtype);p.push(b);var x=rQ({inputs:{x:b},backend:n,attrs:{shape:l.outputShape}});return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),x}var p1={kernelName:qy,backendName:"webgl",kernelFunc:c1},h1=XZ({opSnippet:"return float(a > b);",packedOpSnippet:"\n  return vec4(greaterThan(a, b));\n",cpuKernelImpl:LJ,dtype:"bool"}),f1={kernelName:Xy,backendName:"webgl",kernelFunc:h1},d1=XZ({opSnippet:"return float(a >= b);",packedOpSnippet:"\n  return vec4(greaterThanEqual(a, b));\n",dtype:"bool",cpuKernelImpl:zJ}),m1={kernelName:Yy,backendName:"webgl",kernelFunc:d1};var v1={kernelName:Zy,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return U0(t.input,!0,n)}},g1=KZ({opSnippet:"return float(!isnan(x) && !isinf(x));",dtype:"bool"}),y1={kernelName:$y,backendName:"webgl",kernelFunc:g1},b1=KZ({opSnippet:"return float(isinf(x));",dtype:"bool"}),x1={kernelName:eb,backendName:"webgl",kernelFunc:b1},w1=KZ({opSnippet:"return float(isnan(x));",dtype:"bool"}),k1={kernelName:tb,backendName:"webgl",kernelFunc:w1},N1=XZ({opSnippet:"return float(a < b);",packedOpSnippet:"\n  return vec4(lessThan(a, b));\n",cpuKernelImpl:PJ,dtype:"bool"}),I1={kernelName:rb,backendName:"webgl",kernelFunc:N1},S1=XZ({opSnippet:"return float(a <= b);",packedOpSnippet:"\n  return vec4(lessThanEqual(a, b));\n",cpuKernelImpl:BJ,dtype:"bool"}),T1={kernelName:ab,backendName:"webgl",kernelFunc:S1};var C1={kernelName:ib,backendName:"webgl",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.num,o=WJ(r,a,i);return t.makeTensorInfo([o.length],"float32",o)}},E1=KZ({opSnippet:"if (isnan(x)) return x;\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:VJ}),A1={kernelName:ob,backendName:"webgl",kernelFunc:E1},R1=KZ({opSnippet:"if (isnan(x)) return x;\n  return log(1.0 + x);\n"}),_1={kernelName:sb,backendName:"webgl",kernelFunc:R1},O1=XZ({opSnippet:"return float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n",dtype:"bool"}),F1={kernelName:ub,backendName:"webgl",kernelFunc:O1},D1=KZ({opSnippet:"return float(!(x >= 1.0));"}),M1={kernelName:lb,backendName:"webgl",kernelFunc:D1},L1=XZ({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n",dtype:"bool"}),z1={kernelName:cb,backendName:"webgl",kernelFunc:L1},P1=function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",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        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+i+";\n        setOutput(val);\n      }\n    "},B1=function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",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 < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+o+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+o+"; j <= "+o+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+i+";\n        setOutput(result);\n      }\n    "},W1={kernelName:hb,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,l=Fg().getBool("WEBGL_PACK_NORMALIZATION")?new B1(a.shape,i,o,s,u):new P1(a.shape,i,o,s,u);return n.runWebGLProgram(l,[a],a.dtype)}},V1=function(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,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 < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+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("+r+") * norm + float("+n+");\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("+r+")\n                * float("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},U1={kernelName:fb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.y,o=t.dy,s=r.depthRadius,u=r.bias,l=r.alpha,c=r.beta,p=new V1(a.shape,s,u,l,c);return n.runWebGLProgram(p,[a,i,o],a.dtype)}};function G1(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reductionIndices,o=r.keepDims,s=a.shape.length,u=ng(i,a.shape),l=u,c=XT(l,s),p=null!=c,h=n.shouldExecuteOnCPU([a]),f=a;if(p){if(h){for(var d=n.texData.get(f.dataId).values,m=new Array(s),v=0;v<m.length;v++)m[v]=a.shape[c[v]];var g=mZ(d,a.shape,a.dtype,c,m);f=n.makeTensorInfo(m,a.dtype),n.texData.get(f.dataId).values=g}else f=cQ(a,c,n);l=JT(l.length,s)}KT("max",l,s);var y,b=HT(f.shape,l),x=b[0],w=b[1],k=x;if(o&&(k=qT(x,u)),h){d=n.texData.get(f.dataId).values;var N=UJ(d,Yv(w),k,a.dtype);y=n.makeTensorInfo(k,a.dtype),n.texData.get(y.dataId).values=N}else y=function(e,t,n,r){var a=Yv(t),i=rQ({inputs:{x:e},attrs:{shape:[Yv(e.shape)/a,a]},backend:r}),o=sQ(i,e.dtype,"max",r),s=rQ({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(f,w,k,n);return p&&n.disposeIntermediateTensorInfo(f),y}var j1={kernelName:db,backendName:"webgl",kernelFunc:G1},H1=XZ({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",packedOpSnippet:"\n  vec4 result = vec4(max(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  \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\n  return result;\n",cpuKernelImpl:GJ}),q1={kernelName:mb,backendName:"webgl",kernelFunc:H1};var K1={kernelName:vb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;DY(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Hv(KS(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=zS(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Jv(l.inShape,l.outShape))return zZ({inputs:{x:a},backend:n});var c=new XQ(l,"max",!1);return n.runWebGLProgram(c,[a],a.dtype)}};var X1={kernelName:yb,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,l=r.dimRoundingMode,c=PS(a.shape,i,o,[1,1,1],s,l,u),p=new YQ(c,"max",!1);return n.runWebGLProgram(p,[a],a.dtype)}},Y1=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,i=e.effectiveFilterWidth,o=a-1-e.padInfo.top,s=i-1-e.padInfo.left,u=a*i-1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\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 < "+a+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+t+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+i+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.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 = "+u+" - 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 * "+i+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},J1=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.dilationDepth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterDepth,u=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=s-1-e.padInfo.front,p=u-1-e.padInfo.top,h=l-1-e.padInfo.left,f=s*u*l-1;this.userCode="\n      const ivec3 pads = ivec3("+c+", "+p+", "+h+");\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 < "+s+";\n           wD += "+a+") {\n          float dyD = float(dyDCorner + wD) / "+t+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+i+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+o+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.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 = "+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 * "+u+" * "+l+" +\n                  wR * "+l+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "};var Z1={kernelName:bb,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,l=r.dimRoundingMode,c=PS(i.shape,o,s,[1,1,1],u,l),p=new YQ(c,"max",!0),h=n.runWebGLProgram(p,[i],i.dtype),f=new J1(c),d=n.runWebGLProgram(f,[a,h],i.dtype);return n.disposeIntermediateTensorInfo(h),d}};var Q1={kernelName:gb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;DY([i,t.output],"maxPoolGrad");var s=r.filterSize,u=r.strides,l=r.pad,c=r.dimRoundingMode,p=zS(o.shape,s,u,1,l,c),h=new XQ(p,"max",!0),f=n.runWebGLProgram(h,[o],o.dtype),d=new Y1(p),m=n.runWebGLProgram(d,[a,f],o.dtype);return n.disposeIntermediateTensorInfo(f),m}};var $1={kernelName:xb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.filterSize,o=n.strides,s=n.pad,u=n.includeBatchInIndex,l=r;Hv(4===a.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+a.shape.length+"."}));var c=[1,1];Hv(KS(o,c),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p=zS(a.shape,i,o,c,s),h=function(e,t,n,r){var a=new XQ(n,"max",!1),i=r.runWebGLProgram(a,[e],"float32");return a=new XQ(n,"max",!0,!0,t),[i,r.runWebGLProgram(a,[e],"float32")]}(a,u,p,l);return[h[0],h[1]]}};var e2={kernelName:wb,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,l=ng(o,a.shape),c=l,p=XT(c,u),h=null!=p,f=s.shouldExecuteOnCPU([a]),d=[],m=a;if(h){if(f){for(var v=s.texData.get(m.dataId).values,g=new Array(u),y=0;y<g.length;y++)g[y]=a.shape[p[y]];var b=mZ(v,a.shape,a.dtype,p,g);m=s.makeTensorInfo(g,a.dtype),s.texData.get(m.dataId).values=b}else m=cQ(a,p,s);d.push(m),c=JT(c.length,u)}KT("sum",c,u);var x=HT(m.shape,c),w=x[0],k=x[1],N=w;i&&(N=qT(w,l));for(var I=function(e,t,n,r){var a=Yv(t),i=rQ({inputs:{x:e},attrs:{shape:[Yv(e.shape)/a,a]},backend:r}),o=sQ(i,"float32","mean",r),s=rQ({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(m,k,N,s),S=0,T=d;S<T.length;S++){y=T[S];s.disposeIntermediateTensorInfo(y)}return I}};var t2={kernelName:kb,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=ng(i,a.shape),l=u,c=XT(l,s),p=a;null!=c&&(p=fQ({inputs:{x:a},backend:n,attrs:{perm:c}}),l=JT(l.length,a.shape.length)),KT("min",l,s);var h,f=HT(p.shape,l),d=f[0],m=rQ({inputs:{x:p},backend:n,attrs:{shape:[-1,Yv(f[1])]}}),v=sQ(m,m.dtype,"min",n);return h=rQ(o?{inputs:{x:v},backend:n,attrs:{shape:qT(d,u)}}:{inputs:{x:v},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(v),null!=c&&n.disposeIntermediateTensorInfo(p),h}},n2=XZ({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\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  \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\n  return result;\n",cpuKernelImpl:jJ}),r2={kernelName:Nb,backendName:"webgl",kernelFunc:n2},a2=function(e,t,n){this.variableNames=["x"],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=QY(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r),u="reflect"===n?0:1;this.userCode=1!==r?"\n      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        for (int i = 0; i < "+r+"; i++) {\n          if (outC[i] < start[i]) {\n            outC[i] = start[i] * 2 - outC[i] - "+u+";\n          } else if(outC[i] >= end[i]) {\n            outC[i] = (end[i] - 1) * 2 - outC[i] + "+u+";\n          }\n        }\n        "+a+" coords = outC - start;\n        setOutput(getX("+s+"));\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start) {\n            outC = start * 2 - outC - "+u+";\n          } else if(outC >= end) {\n            outC = (end - 1) * 2 - outC + "+u+";\n          }\n          setOutput(getX(outC - start));\n        }\n      "},i2=function(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=QY(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=yZ("rc",r),u=yZ("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p="reflect"===n?0:1,h="";if(1===r){var f="\n        "+a+" source = rc;\n        if (source < start) {\n          source = start * 2 - source - "+p+";\n        } else if (source >= end) {\n          source = (end - 1) * 2 - source + "+p+";\n        }\n        source -= start;\n      ";h="\n        "+a+" rc = outputLoc;\n        "+f+"\n        result[0] = getChannel(getX("+u.join()+"), "+c+");\n        "+s[r-1]+" += 1;\n        if("+l+") {\n          "+f+"\n          result[1] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      "}else{var d="\n        "+a+" source = rc;\n        "+a+" lt = "+a+"(lessThan(source, start));\n        "+a+" gte = "+a+"(greaterThanEqual(source, end));\n        "+a+" orig = 1 - (lt + gte);\n        source = orig * source +\n                lt * (start * 2 - source - "+p+") +\n                gte * ((end - 1) * 2 - source + "+p+");\n        source -= start;\n      ";h="\n        "+a+" rc = outputLoc;\n        "+d+"\n        result[0] = getChannel(getX("+u.join()+"), "+c+");\n        "+s[r-1]+" += 1;\n        if("+l+") {\n          "+d+"\n          result[1] = getChannel(getX("+u.join()+"), "+c+");\n        }\n        rc = outputLoc;\n        "+s[r-2]+" += 1;\n        if("+s[r-2]+" < "+this.outputShape[r-2]+") {\n          "+d+"\n          result[2] = getChannel(getX("+u.join()+"), "+c+");\n          "+s[r-1]+" += 1;\n          if("+l+") {\n            "+d+"\n            result[3] = getChannel(getX("+u.join()+"), "+c+");\n          }\n        }\n      "}this.userCode="\n      const "+a+" start = "+a+"("+i+");\n      const "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+h+"\n        setOutput(result);\n      }\n    "},o2={kernelName:Ib,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=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new i2(a.shape,i,o):new a2(a.shape,i,o);return n.runWebGLProgram(s,[a],a.dtype)}},s2=XZ({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  \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\n  return result;\n"}),u2={kernelName:Sb,backendName:"webgl",kernelFunc:s2},l2=function(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],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 < "+(t-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("+(t-1)+"));\n      }\n    "},c2=XZ({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}),p2={kernelName:_y,backendName:"webgl",kernelFunc:c2},h2="return a - b;",f2=XZ({opSnippet:h2,packedOpSnippet:h2,supportsComplex:!0,cpuKernelImpl:hZ}),d2={kernelName:Ex,backendName:"webgl",kernelFunc:f2};function m2(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.logits,i=ng([r.dim],a.shape),o=G1({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),s=qT(o.shape,i),u=rQ({inputs:{x:o},backend:n,attrs:{shape:s}}),l=f2({inputs:{a:a,b:u},backend:n}),c=D0({inputs:{x:l},backend:n}),p=pQ({inputs:{x:c},backend:n,attrs:{axis:i,keepDims:!1}}),h=rQ({inputs:{x:p},backend:n,attrs:{shape:s}}),f=c2({inputs:{a:c,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}var v2={kernelName:vx,backendName:"webgl",kernelFunc:m2};var g2={kernelName:Tb,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:m2({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new l2(l,c,i),h=[[o]],f=n.runWebGLProgram(p,[u],"int32",h);return s||n.disposeIntermediateTensorInfo(u),f}};var y2={kernelName:Eb,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=qJ(i.values,a.shape,a.dtype),s=o[0],u=o[1];return r.makeTensorInfo(u,a.dtype,s)}return t=Fg().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new AZ(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 SZ(a.shape,"if (isnan(x)) return x;\n  return -x;\n"),r.runWebGLProgram(t,[a],a.dtype)}},b2=sR;var x2={kernelName:Rb,backendName:"webgl",kernelFunc:function(e){Hx("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,l=n.readSync(a.dataId),c=n.readSync(i.dataId),p=b2(l,c,o,s,u).selectedIndices;return n.makeTensorInfo([p.length],"int32",new Int32Array(p))}},w2=uR;var k2={kernelName:_b,backendName:"webgl",kernelFunc:function(e){Hx("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,l=r.padToMaxOutputSize,c=n.readSync(a.dataId),p=n.readSync(i.dataId),h=w2(c,p,o,s,u,l),f=h.selectedIndices,d=h.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},N2=lR;var I2={kernelName:Ob,backendName:"webgl",kernelFunc:function(e){Hx("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,l=r.softNmsSigma,c=n.readSync(a.dataId),p=n.readSync(i.dataId),h=N2(c,p,o,s,u,l),f=h.selectedIndices,d=h.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}},S2=function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},T2={kernelName:Db,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,l=Yv(a.shape),c=new S2(l,o,s,u),p=rQ({inputs:{x:a},backend:n,attrs:{shape:[l]}}),h=n.runWebGLProgram(c,[p],i);n.disposeIntermediateTensorInfo(p);var f=rQ({inputs:{x:h},backend:n,attrs:{shape:[].concat(a.shape,[o])}});return n.disposeIntermediateTensorInfo(h),f}};function C2(e){var t=e.inputs,n=e.backend,r=t.x;if("complex64"===r.dtype){var a=v$({inputs:{input:r},backend:n}),i=C2({inputs:{x:a},backend:n}),o=_$({inputs:{input:r},backend:n}),s=C2({inputs:{x:o},backend:n}),u=BZ({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return H0({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}var E2={kernelName:Px,backendName:"webgl",kernelFunc:C2};var A2={kernelName:Fb,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n.x;if("string"===a.dtype)throw new Error("onesLike is not supported under string dtype");if("complex64"===a.dtype){var i=v$({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=_$({inputs:{input:a},backend:r}),u=C2({inputs:{x:s},backend:r}),l=BZ({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),l}return H0({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}};var R2={kernelName:Mb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return L0({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){qv(a,e.shape,"All tensors passed to stack must have matching shapes"),Hv(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=D$({inputs:t.map((function(e){var t=L0({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}},_2=function(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=QY(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(value);\n        } else {\n          "+a+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\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      "},O2=function(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));for(var r=e.length,a=QY(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=yZ("rc",r),u=yZ("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[a+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+l+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+l+") {"],h=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",d=0,m=1===r?2:4;d<m;d++)f+="\n        "+p[d]+"\n        if ("+h+") {\n          result["+d+"] = float(value);\n        } else {\n          "+a+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+a+" start = "+a+"("+i+");\n      const "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},F2=function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;if(0===Yv(a.shape)){var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]}));return H0({backend:n,attrs:{shape:s,value:o,dtype:a.dtype}})}var u=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new O2(a.shape,i,o):new _2(a.shape,i,o),l=[[o]];return n.runWebGLProgram(u,[a],a.dtype,l)},D2={kernelName:Lb,backendName:"webgl",kernelFunc:F2},M2=XZ({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  \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\n  return result;\n"}),L2={kernelName:zb,backendName:"webgl",kernelFunc:M2};var z2={kernelName:Bb,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,l=[],c=ng(o,i.shape),p=c,h=XT(p,u),f=i;if(null!=h&&(f=fQ({inputs:{x:i},backend:r,attrs:{perm:h}}),p=JT(p.length,u),l.push(f)),KT("prod",p,u),r.shouldExecuteOnCPU([f])){var d=r.texData.get(f.dataId).values,m=XJ(f.shape,f.dtype,d,p),v=m.outVals,g=m.outShape,y=m.outDtype;t=r.makeTensorInfo(g,y,v)}else{var b=HT(f.shape,p),x=b[0],w=Yv(b[1]),k=rQ({inputs:{x:f},backend:r,attrs:{shape:[-1,w]}}),N=sQ(k,pk(i.dtype),"prod",r);t=rQ({inputs:{x:N},backend:r,attrs:{shape:x}}),l.push(k),l.push(N)}if(s){l.push(t);var I=qT(t.shape,c);t=rQ({inputs:{x:t},backend:r,attrs:{shape:I}})}return l.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}};var P2={kernelName:Wb,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)})),l=a.map((function(e){return e.shape})),c=n.readSync(i.dataId),p=n.readSync(o.dataId),h=YJ(u,l,c,i.shape,i.dtype,p,o.shape,s),f=h[0],d=h[1],m=h[2],v=f.map((function(e){return n.makeTensorInfo([e.length],"int32",e)})),g=n.makeTensorInfo(m,i.dtype,d);return v.concat([g])}};var B2={kernelName:Vb,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),l=JJ(o,r.shape,r.dtype,s,a.shape,u,i.shape),c=l[0],p=l[1];return[n.makeTensorInfo([c.length],"int32",c),n.makeTensorInfo([p.length],r.dtype,p)]}};var W2={kernelName:Ub,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,l=n.readSync(a.dataId),c=n.readSync(i.dataId),p=n.readSync(o.dataId),h=s.map((function(e){return n.readSync(e.dataId)})),f=s.map((function(e){return e.shape})),d=ZJ(l,a.shape,c,i.shape,i.dtype,p,o.shape,h,f,u),m=d[0],v=d[1];return n.makeTensorInfo(m,i.dtype,v)}},V2=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=QJ(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},U2={kernelName:Gb,backendName:"webgl",kernelFunc:V2},G2=KZ({opSnippet:"return 1.0 / x;"}),j2={kernelName:Hb,backendName:"webgl",kernelFunc:G2},H2=KZ({opSnippet:"if (isnan(x)) return x;\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"}),q2={kernelName:qb,backendName:"webgl",kernelFunc:H2},K2=KZ({opSnippet:"if (isnan(x)) return x;\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"}),X2={kernelName:Qb,backendName:"webgl",kernelFunc:K2},Y2=function(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n];l=a?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+c[0]/p[0]+",\n          "+c[1]/p[1]+");\n      const vec2 inputShapeRC = vec2("+o+".0, "+s+".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 = "+l+";\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    "},J2=function(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n];l=a?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+c[0]/p[0]+",\n          "+c[1]/p[1]+",\n          "+c[1]/p[1]+");\n      const vec3 inputShapeRC = vec3("+o+".0, "+s+".0,\n                                     "+s+".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 = "+l+";\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 < "+(u-1)+";\n        bool hasNextRow = coords.z < "+(n-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 Z2={kernelName:Jb,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=r.size,u=s[0],l=s[1],c=Fg().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new J2(a.shape,u,l,i,o):new Y2(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],"float32")}},Q2=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;var r=t[1],a=t[2],i=e[1],o=e[2],s=[n&&i>1?r-1:r,n&&o>1?a-1:a],u=[n&&i>1?i-1:i,n&&o>1?o-1:o],l=s[0]/u[0],c=s[1]/u[1],p=1/l,h=1/c,f=2*Math.ceil(p)+2,d=2*Math.ceil(h)+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("+l+");\n        const float widthScale = float("+c+");\n\n        const float invHeightScale = float("+p+");\n        const float invWidthScale = float("+h+");\n\n        const int winHeight = int("+f+");\n        const int winWidth = int("+d+");\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 >= "+i+") {\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 >= "+o+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(r-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), "+(a-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 $2={kernelName:Zb,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 Q2(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},e3=function(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";l=a?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+c[0]/p[0]+",\n          "+c[1]/p[1]+");\n      const vec2 inputShapeRC = vec2("+o+".0, "+s+".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 = "+l+";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+h+")));\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},t3=function(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3];this.outputShape=[i,t,n,u];var l,c=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0";l=a?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+c[0]/p[0]+",\n          "+c[1]/p[1]+",\n          "+c[1]/p[1]+");\n      const vec3 inputShapeRC = vec3("+o+".0, "+s+".0,\n                                     "+s+".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 = "+l+";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec3 sourceNearestRC = ivec3(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+h+")));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(u-1)+";\n        bool hasNextRow = coords.z < "+(n-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 n3={kernelName:Xb,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=r.size,u=s[0],l=s[1],c=Fg().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new t3(a.shape,u,l,i,o):new e3(a.shape,u,l,i,o);return n.runWebGLProgram(c,[a],a.dtype)}},r3=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;var r=t[1],a=t[2],i=e[1],o=e[2],s=[n&&i>1?r-1:r,n&&o>1?a-1:a],u=[n&&i>1?i-1:i,n&&o>1?o-1:o],l=s[0]/u[0],c=s[1]/u[1],p=1/l,h=1/c,f=2*Math.ceil(p)+2,d=2*Math.ceil(h)+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("+l+");\n        const float widthScale = float("+c+");\n\n        const float invHeightScale = float("+p+");\n        const float invWidthScale = float("+h+");\n\n        const int winHeight = int("+f+");\n        const int winWidth = int("+d+");\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 >= "+i+") {\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 >= "+o+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+s[0]+") *\n                (float(dyR) / float("+u[0]+"));\n\n            float sourceFracCol =\n                float("+s[1]+") *\n                  (float(dyC) / float("+u[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+r+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? 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 a3={kernelName:Yb,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 r3(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},i3=function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map((function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),a=QY(n);this.userCode="\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+e[0]+" - coord - 1));\n        }\n      "},o3=function(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=e;var r=yZ("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < "+this.outputShape[n-2],o=QY(n);function s(n){var r=e.map((function(r,a){return function(n,r){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - "+r[n]+" - 1":""+r[n]}(a,n)}));return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+e[0]+" - rc - 1),\n            "+e[0]+" - rc - 1);\n          if("+a+"){\n              result.g = getChannel(getX("+e[0]+" - (rc  + 1) - 1),\n                "+e[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+o+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(e){return s(e)}(r.slice())+";\n          if("+a+"){\n            result.g = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",s(e)}(r.slice())+";\n          }\n          if("+i+") {\n            result.b = "+function(e){return e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            if("+a+") {\n              result.a = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "};var s3={kernelName:$b,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=ng(i,a.shape);if(0===o)return zZ({inputs:{x:a},backend:n});var u=Fg().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new o3(a.shape,s):new i3(a.shape,s);return n.runWebGLProgram(u,[a],a.dtype)}},u3=function(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];var n=e[1],r=e[2];this.outputShape=e;var a="";a="number"==typeof t?"float outputValue = "+t.toFixed(2)+";":"\n        vec3 fill = vec3("+t.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          "+a+"\n          if(coordX >= 0 && coordX < "+r+" && coordY >= 0 && coordY < "+n+") {\n            outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n          }\n          setOutput(outputValue);\n        }\n    "},l3={kernelName:Vx,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,l=new u3(a.shape,o),c=x_(s,a.shape[1],a.shape[2]),p=[[c[0],c[1],Math.sin(i),Math.cos(i)]];return u.runWebGLProgram(l,[a],a.dtype,p)}},c3=KZ({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"}),p3={kernelName:ex,backendName:"webgl",kernelFunc:c3},h3=KZ({opSnippet:"return inversesqrt(x);",cpuKernelImpl:$J}),f3={kernelName:tx,backendName:"webgl",kernelFunc:h3},d3=function(e,t,n,r,a,i,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=QY(a.length),u=QY(i.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",p="";1===r?p="i":2===r&&(p="i, coords[1]");var h="getUpdates("+p+")",f=t>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+a+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+e+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+t+"; j++) {\n              int index = round("+c+");\n              flattenedIndex += index * "+f+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+h+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "};var m3={kernelName:nx,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=jI(0,a,o),u=s.sliceRank,l=s.numUpdates,c=s.sliceSize,p=s.strides,h=s.outputSize,f=[h/c,c];if(0===h)return n.makeTensorInfo(o,a.dtype);var d=rQ({inputs:{x:a},backend:n,attrs:{shape:[l,u]}}),m=rQ({inputs:{x:i},backend:n,attrs:{shape:[l,c]}}),v=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new d3(l,u,d.shape.length,m.shape.length,p,f),y=n.runWebGLProgram(g,[m,d,v],m.dtype),b=rQ({inputs:{x:y},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(v),b}},v3=function(e,t,n,r){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,n];var a="for (int i = 0; i < "+Math.ceil(Math.log2(t+1))+"; ++i) { if (left >= right) break;",i=2===Fg().getNumber("WEBGL_VERSION")?"while (left < right) {":a,o="left"===r?"<":"<=";this.userCode="\n       int findBound(int batch, float value) {\n         int left = 0;\n         int right = numInputs;\n         int mid;\n         "+i+"\n           mid = (left + right) / 2;\n           if (getSortedSequence(batch, mid) "+o+" 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 g3={kernelName:rx,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 v3(a.shape[0],a.shape[1],i.shape[1],o),u=[[a.shape[1]]];return n.runWebGLProgram(s,[a,i],"int32",u)}},y3=function(e,t,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<t.length;u++)s.push(""+i[u]),u<e&&o.push(""+i[u]);r=o.join(),a=s.join()}var l=QY(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "};var b3={kernelName:ax,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.condition,a=t.t,i=t.e,o=new y3(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(o,[r,a,i],ck(a.dtype,i.dtype))}},x3=KZ({opSnippet:"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n"}),w3={kernelName:ix,backendName:"webgl",kernelFunc:x3},k3=KZ({opSnippet:"if (isnan(x)) return x;\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:tZ}),N3={kernelName:cx,backendName:"webgl",kernelFunc:k3},I3=KZ({opSnippet:"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n"}),S3={kernelName:lx,backendName:"webgl",kernelFunc:I3},T3=KZ({opSnippet:"if (isnan(x)) return x;\n  return sin(x);\n"}),C3={kernelName:sx,backendName:"webgl",kernelFunc:T3},E3=KZ({opSnippet:"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n"}),A3={kernelName:ux,backendName:"webgl",kernelFunc:E3},R3=KZ({opSnippet:"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large 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c.push(p),c.push(m),c.push(v),c.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),g}};var F3={kernelName:gx,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         "+i.shape);if(2!==r.shape.length)throw new Error("Indices must be a matrix, saw:\n         "+r.shape);if(1!==a.shape.length)throw new Error("Values must be a vector, saw:\n         "+a.shape);if(0!==o.shape.length)throw new Error("Default value must be a scalar, saw:\n        "+o.shape);var s=n.readSync(r.dataId),u=n.readSync(a.dataId),l=n.readSync(i.dataId),c=n.readSync(o.dataId)[0],p=aZ(s,r.shape,r.dtype,u,a.dtype,l,c),h=p[0],f=p[1],d=p[2],m=p[3],v=p[4];return[n.makeTensorInfo(f,r.dtype,h),n.makeTensorInfo([f[0]],a.dtype,d),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map((function(e){return Number(e)})))),n.makeTensorInfo([v.length],r.dtype,new Int32Array(v))]}};var D3={kernelName:yx,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 "+r.shape);if(1!==a.shape.length)throw new Error("Input shape should be a vector but received shape "+a.shape);if(1!==i.shape.length)throw new Error("Target shape should be a vector but received shape "+i.shape);var o=Array.from(n.readSync(a.dataId)),s=n.readSync(r.dataId),u=Array.from(n.readSync(i.dataId)),l=iZ(s,r.shape,r.dtype,o,u),c=l[0],p=l[1],h=l[2];return[n.makeTensorInfo(p,r.dtype,c),n.makeTensorInfo([h.length],i.dtype,new Int32Array(h))]}};var M3={kernelName:bx,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              "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n              "+i.shape);var o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=oZ(o,r.shape,r.dtype,s,u,!0),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var L3={kernelName:xx,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             "+a.shape);if(1!==i.shape.length)throw new Error("Segment ids should be a vector but received shape\n             "+i.shape);var o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),l=oZ(o,r.shape,r.dtype,s,u),c=l[0],p=l[1];return n.makeTensorInfo(p,r.dtype,c)}};var z3={kernelName:wx,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=jI(0,a,s),l=u.sliceRank,c=u.numUpdates,p=u.sliceSize,h=u.strides,f=u.outputSize;if("string"===i.dtype){var d=n.bufferSync(a),m=n.bufferSync(i),v=Gw(n.readSync(o.dataId)[0]),g=eZ(d,m,s,f,p,c,l,h,v,false);return n.makeTensorInfo(s,g.dtype,g.values)}var y=new d3(c,l,a.shape.length,i.shape.length,h,[f,1],false),b=n.runWebGLProgram(y,[i,a,o],i.dtype),x=rQ({inputs:{x:b},backend:n,attrs:{shape:s}});return n.disposeIntermediateTensorInfo(b),x}};var P3={kernelName:mx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.numOrSizeSplits,o=ng(r.axis,a.shape)[0],s=J_(a,i,o),u=a.shape.length,l=new Array(u).fill(0),c=a.shape.slice();return s.map((function(e){var t=[].concat(c);t[o]=e;var r=l$({inputs:{x:a},backend:n,attrs:{begin:l,size:t}});return l[o]+=e,r}))}},B3="return sqrt(x);",W3=KZ({opSnippet:B3,packedOpSnippet:B3,cpuKernelImpl:sZ}),V3={kernelName:hx,backendName:"webgl",kernelFunc:W3},U3={kernelName:Nx,backendName:"webgl",kernelFunc:KZ({opSnippet:"return x * x;"})},G3="return (a - b) * (a - b);",j3=XZ({opSnippet:G3,packedOpSnippet:G3}),H3={kernelName:kx,backendName:"webgl",kernelFunc:j3};var q3={kernelName:Bx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=TZ+"\n    return x > 0.0 ? 1.0 : float("+n.alpha+");\n  ",o=new SZ(a.shape,i);return r.runWebGLProgram(o,[a],a.dtype)}},K3=function(e,t,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,a=QY(n.length),i=QY(n.length),o="";if(1===r)o="coords * strides + begin";else{var s=0;o=n.map((function(e,t){return s++,1===n.length?"coords * strides["+t+"] + begin["+t+"]":"coords["+(s-1)+"] * strides["+t+"] + begin["+t+"]"})).join(",")}this.userCode="\n      "+a+" begin = "+a+"("+e+");\n      "+a+" strides = "+a+"("+t+");\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+o+"));\n      }\n    "};var X3={kernelName:Ix,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,l=a.beginMask,c=a.endMask,p=a.ellipsisMask,h=a.newAxisMask,f=a.shrinkAxisMask,d=iS(i.shape,o,s,u,l,c,p,h,f),m=d.finalShapeSparse,v=d.finalShape,g=d.isIdentity,y=d.sliceDim0,b=d.isSimpleSlice,x=d.begin,w=d.end,k=d.strides;if(g)t=rQ({inputs:{x:i},backend:r,attrs:{shape:v}});else if(y||b){Hv(i.shape.length>=1,(function(){return"Input must have rank at least 1, got: "+i.shape.length}));var N=KI(x,w,k),I=l$({inputs:{x:i},backend:r,attrs:{begin:x,size:N}});t=rQ({inputs:{x:I},backend:r,attrs:{shape:v}}),r.disposeIntermediateTensorInfo(I)}else{if(r.shouldExecuteOnCPU([i])){var S=r.readSync(i.dataId),T=UN(i.shape,i.dtype,S),C=uZ(m,T,k,x);t=r.makeTensorInfo(v,i.dtype,C.values)}else{var E=new K3(x,k,m);t=r.runWebGLProgram(E,[i],i.dtype)}}var A=rQ({inputs:{x:t},backend:r,attrs:{shape:v}});return r.disposeIntermediateTensorInfo(t),A}};var Y3={kernelName:Sx,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,l=r.preserveShortSequences,c=t.data,p=t.dataSplits,h=n.readSync(c.dataId),f=n.readSync(p.dataId),d=lZ(h,f,a,i,o,s,u,l),m=d[0],v=d[1];return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(p.shape,"int32",v)]}};var J3={kernelName:Tx,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: "+a.shape);if(0!==i.shape.length)throw new Error("Delimiter must be a scalar, got shape: "+i.shape);var o=n.readSync(a.dataId),s=n.readSync(i.dataId)[0],u=cZ(o,s,r),l=u[0],c=u[1],p=u[2],h=c.length;return[n.makeTensorInfo([h,2],"int32",l),n.makeTensorInfo([h],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(p))]}};var Z3={kernelName:Cx,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=pZ(i,r);return n.makeTensorInfo(a.shape,"int32",o)}},Q3=KZ({opSnippet:"return tan(x);"}),$3={kernelName:Ax,backendName:"webgl",kernelFunc:Q3},e4=KZ({opSnippet:"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n"}),t4=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=QY(this.rank),i=function(e){var t=e.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(1===t)return"imod(resRC, "+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("+n[a]+", "+e[a]+")");return r.join()}(e);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "};function n4(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 Gw(e)})):o,u=UN(a.shape,a.dtype,s),l=fZ(u,i);return n.makeTensorInfo(l.shape,l.dtype,l.values)}var c=new t4(a.shape,i);return n.runWebGLProgram(c,[a],a.dtype)}var r4=function(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=e,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     "},a4=function(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,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 i4(e,t){null!==t&&e.disposeIntermediateTensorInfo(t)}function o4(e){for(var t=1;t<e;)t*=2;return t}var s4={kernelName:Ox,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=Fg().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),u=Fg().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),l=a.shape,c=l[l.length-1];if(n.shouldExecuteOnCPU([a])||c<s||i>u){var p=n.readSync(a.dataId),h=dZ(p,l,a.dtype,i,o),f=h[0],d=h[1];return[n.makeTensorInfo(f.shape,f.dtype,f.values),n.makeTensorInfo(d.shape,d.dtype,d.values)]}if(0===i)return l[l.length-1]=0,[n.makeTensorInfo(l,a.dtype,[]),n.makeTensorInfo(l,"int32",[])];if(1===c)return[a,H0({attrs:{shape:l,dtype:"int32",value:0},backend:n})];var m=n.texData.get(a.dataId),v=null!==m&&m.isPacked,g=v?n.unpackTensor(a):a,y=Yv(l)/c,b=rQ({inputs:{x:g},attrs:{shape:[y,c]},backend:n});v&&i4(n,g);for(var x=o4(i),w=o4(c),k=null,N=function(){return null===k?[b,b]:[b,k]},I=function(e,t,r){var a=N(),i=new r4(r),o=[[c],[null===k?1:0],[Number.NEGATIVE_INFINITY],[e],[t]],s=k;k=n.runWebGLProgram(i,a,"int32",o),i4(n,s)},S=1;S<x;S*=2)for(var T=2*S,C=S;C>=1;C/=2)I(T,C,[y,w]);for(var E=w;E>x;E/=2){var A=N(),R=new a4([y,E/2]),_=[[c],[null===k?1:0],[x]],O=k;k=n.runWebGLProgram(R,A,"int32",_),i4(n,O);for(var F=x/2,D=2*F,M=F;M>=1;M/=2)I(D,M,k.shape)}var L=k;k=l$({inputs:{x:k},backend:n,attrs:{begin:0,size:[y,i]}}),i4(n,L);var z=c1({inputs:{x:b,indices:k},backend:n,attrs:{axis:1,batchDims:1}});i4(n,b);var P=l.slice(0,-1);P.push(i),L=k,k=rQ({inputs:{x:k},attrs:{shape:P},backend:n}),i4(n,L);var B=z;return z=rQ({inputs:{x:z},attrs:{shape:P},backend:n}),i4(n,B),[z,k]}},u4=function(e,t,n,r,a,i){this.variableNames=["Image","Transforms"],this.outputShape=i;var o,s="nearest"===n?1:2;switch(r){case"constant":default:o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4}this.userCode="\n            float mapCoord(float outCoord, float len) {\n              float inCoord = outCoord;\n              if("+o+" == 2) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz2 = 2.0 * len;\n                    if (inCoord < sz2) {\n                      inCoord = sz2 * float(int(float(-inCoord / sz2))) +\n                      inCoord;\n                    }\n                    inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz2 = 2.0 * len;\n                    inCoord -= sz2 * float(int(float(inCoord / sz2)));\n                    if (inCoord >= len) {\n                      inCoord = sz2 - inCoord - 1.0;\n                    }\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if ("+o+" == 3) {\n                if (inCoord < 0.0) {\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))) + 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 ("+o+" == 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 < "+e+" && 0 <= coordX && coordX < "+t+") {\n                  outputValue = getImage(batch, coordY, coordX, channel);\n              } else {\n                outputValue = float("+a+");\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("+a+");\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("+t+"));\n                float mapY = mapCoord(inY, float("+e+"));\n\n                if ("+s+" == 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 l4={kernelName:Fx,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,l=r.outputShape,c=a.shape,p=c[0],h=c[1],f=c[2],d=c[3],m=null!=l?l:[h,f],v=m[0],g=m[1],y=new u4(h,f,o,s,u,[p,v,g,d]);return n.runWebGLProgram(y,[a,i],"float32")}};var c4={kernelName:Mx,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.axis,i=t.x;DY(i,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var o=r.readSync(i.dataId),s=vZ(o,a,i.shape,i.dtype),u=s.outputValues,l=s.outputShape,c=s.indices;return[r.makeTensorInfo(l,i.dtype,u),r.makeTensorInfo([c.length],"int32",c)]}};var p4={kernelName:Lx,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],l=new Array(s-1),c=0,p=0;p<s;p++)p!==i&&(l[c++]=o.shape[p]);var h=[],f=new Array(s).fill(0),d=o.shape.slice();d[i]=1;for(var m=new Array(u),v=0;v<m.length;v++){f[i]=v;var g=l$({inputs:{x:o},backend:n,attrs:{begin:f,size:d}}),y=rQ({inputs:{x:g},backend:n,attrs:{shape:l}});m[v]=y,h.push(g)}return h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),m}},h4=function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var p="";a%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+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          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+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          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          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\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          "+l+"\n        } else if ("+(2===u)+") {\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          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\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            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      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