From d9ff80ed3f1c5b1fb538347592d11b15a597c447 Mon Sep 17 00:00:00 2001
From: Eason010212 <1371033826@qq.com>
Date: Thu, 22 Aug 2024 15:43:01 +0800
Subject: [PATCH] tensorflow-blazeface

---
 ejs/projects.ejs    |   4 +-
 icons/Bert.svg      |   1 +
 icons/blazeFace.svg |   1 +
 js/Preview.pdf      | Bin 0 -> 43953 bytes
 js/blazeFace.js     |  17 +++
 js/lang.js          |   8 +-
 js/projects.js      |  62 ++++++++++-
 js/tf.min.js        |  18 ++++
 js/widgets.js       | 249 +++++++++++++++++++++++++++++++++++++++++++-
 9 files changed, 349 insertions(+), 11 deletions(-)
 create mode 100644 icons/Bert.svg
 create mode 100644 icons/blazeFace.svg
 create mode 100644 js/Preview.pdf
 create mode 100644 js/blazeFace.js
 create mode 100644 js/tf.min.js

diff --git a/ejs/projects.ejs b/ejs/projects.ejs
index 2149efd..5a6b16d 100644
--- a/ejs/projects.ejs
+++ b/ejs/projects.ejs
@@ -17,6 +17,8 @@
     <link rel="stylesheet" href="css/codemirror.css?v=2"/>
     <script src="js/codemirror.min.js"></script>
     <script src="js/jquery.min.js"></script>
+    <script src="js/tf.min.js"></script>
+    <script src="js/blazeFace.js"></script>
     <script src="js/lang.js?v=5"></script>
     <script src="js/lang2.js?v=5"></script>
     <script src="js/farbtastic.js"></script>
@@ -46,8 +48,6 @@
     <script>var OFFLINE_MODE = <%=configs['OFFLINE_MODE']%></script>
     <script>var MAX_PROJECT_NUM_PER_USER = <%=configs['MAX_PROJECT_NUM_PER_USER']%></script>
     <script>var BAIDU_MAP_AK = '<%=configs['BAIDU_MAP_AK']%>'</script>
-    <script>var MIXIO_WS_PORT = '<%=configs['MIXIO_WS_PORT']%>'</script>
-    <script>var MIXIO_WSS_PORT = '<%=configs['MIXIO_WSS_PORT']%>'</script>
     <script src="js/projects.js?v=273"></script>
     <script src="js/MixIO.js?v=30"></script>
     <style>
diff --git a/icons/Bert.svg b/icons/Bert.svg
new file mode 100644
index 0000000..9653b3e
--- /dev/null
+++ b/icons/Bert.svg
@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1724230477773" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="7500" xmlns:xlink="http://www.w3.org/1999/xlink" width="200" height="200"><path d="M858.898 325.829c-16.25 0-28.785 13-28.785 28.785 0 15.782 13.465 28.78 29.245 28.78 15.79 0 28.785 13 28.785 28.785l0 319.859c0 16.25-12.995 28.78-28.785 28.78l-29.245 0c-16.25 0-28.785 13.005-28.785 28.785l0 0 0 0.465 0 45.03-66.385-65.92c-5.57-5.57-12.995-8.36-20.89-8.36 0 0 0 0-0.46 0L568.749 760.818c-16.25 0-28.785 13.005-28.785 28.785 0 15.785 13 28.785 28.785 28.785l133.235 0 106.775 107.7c5.575 5.575 13 8.82 20.425 8.82 3.72 0 7.43-0.925 11.145-2.32 10.675-4.645 18.105-14.855 18.105-26.92l0.465-87.28 0.46 0c47.82 0 86.815-39 86.815-87.28L946.174 411.714C946.173 364.824 907.178 325.829 858.898 325.829zM771.623 615.513 771.623 238.089c0-47.815-39-87.277-87.28-87.277L162.54 150.812c-47.815 0-87.275 38.997-87.275 87.277l0 376.959c0 47.82 38.995 87.28 87.275 87.28l0.465 0-0.465 145.305c0 12.07 7.43 22.75 18.105 26.925 3.715 1.395 6.965 1.86 10.68 1.86 7.89 0 15.782-3.255 21.352-9.285l154.127-164.805 317.539 0C732.623 702.328 771.623 663.328 771.623 615.513zM354.734 644.298l-0.465 0c-2.782 0-5.57 0.93-8.355 1.855-0.93 0.465-1.855 0.465-2.785 0.465-2.323 0.93-4.642 2.785-6.5 4.64-0.93 0.465-1.855 0.93-2.32 1.86 0 0-0.465 0.465-0.93 0.465l-112.81 120.24 0.465-96.565c0-1.395 0.927-2.325 0.927-3.715 0-16.25-12.997-28.785-28.782-28.785l-30.64 0c-15.782 0-28.782-12.995-28.782-28.78L133.757 238.089c0-15.785 13-28.785 28.782-28.785l522.269 0c16.25 0 28.785 13 28.785 28.785l0 376.959c0 16.25-13 28.785-28.785 28.785L354.734 643.833 354.734 644.298zM533.469 395.464l-71.495 0 0-71.492c0-16.712-13.462-30.64-30.64-30.64-17.175 0-30.64 13.462-30.64 30.64l0 71.492-71.492 0c-16.712 0-30.64 13.462-30.64 30.64 0 17.18 13.465 30.642 30.64 30.642l71.492 0 0 71.027c0 16.71 13.465 30.64 30.64 30.64 17.177 0 30.64-13.465 30.64-30.64l0-71.492 71.495 0c16.71 0 30.64-13.462 30.64-30.64S550.179 395.464 533.469 395.464z" fill="#4e73df" p-id="7501"></path></svg>
\ No newline at end of file
diff --git a/icons/blazeFace.svg b/icons/blazeFace.svg
new file mode 100644
index 0000000..d779755
--- /dev/null
+++ b/icons/blazeFace.svg
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/js/Preview.pdf b/js/Preview.pdf
new file mode 100644
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diff --git a/js/blazeFace.js b/js/blazeFace.js
new file mode 100644
index 0000000..9bfb768
--- /dev/null
+++ b/js/blazeFace.js
@@ -0,0 +1,17 @@
+/**
+    * @license
+    * Copyright 2021 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(t,e){"object"==typeof exports&&"undefined"!=typeof module?e(exports,require("@tensorflow/tfjs-core"),require("@tensorflow/tfjs-converter")):"function"==typeof define&&define.amd?define(["exports","@tensorflow/tfjs-core","@tensorflow/tfjs-converter"],e):e(t.blazeface={},t.tf,t.tf)}(this,function(t,e,n){"use strict";function r(t,e,n,r){return new(n||(n=Promise))(function(o,i){function s(t){try{c(r.next(t))}catch(t){i(t)}}function a(t){try{c(r.throw(t))}catch(t){i(t)}}function c(t){var e;t.done?o(t.value):(e=t.value,e instanceof n?e:new n(function(t){t(e)})).then(s,a)}c((r=r.apply(t,e||[])).next())})}function o(t,e){var n,r,o,i,s={label:0,sent:function(){if(1&o[0])throw o[1];return o[1]},trys:[],ops:[]};return i={next:a(0),throw:a(1),return:a(2)},"function"==typeof Symbol&&(i[Symbol.iterator]=function(){return this}),i;function a(i){return function(a){return function(i){if(n)throw new TypeError("Generator is already 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t(t,n,r,o,i,s){this.blazeFaceModel=t,this.width=n,this.height=r,this.maxFaces=o,this.anchorsData=function(t,e,n){for(var r=[],o=0;o<n.strides.length;o++)for(var i=n.strides[o],s=Math.floor((e+i-1)/i),a=Math.floor((t+i-1)/i),c=n.anchors[o],u=0;u<s;u++)for(var l=i*(u+.5),d=0;d<a;d++)for(var f=i*(d+.5),h=0;h<c;h++)r.push([f,l]);return r}(n,r,a),this.anchors=e.tensor2d(this.anchorsData),this.inputSizeData=[n,r],this.inputSize=e.tensor1d([n,r]),this.iouThreshold=i,this.scoreThreshold=s}return t.prototype.getBoundingBoxes=function(t,n,s){return void 0===s&&(s=!0),r(this,void 0,void 0,function(){var a,c,u,l,d,f,h,p,b,v,m,y,w,g,x=this;return o(this,function(T){switch(T.label){case 0:return a=e.tidy(function(){var n,r,o,i,s,a,c,u,l,d,f,h,p,b=e.image.resizeBilinear(t,[x.width,x.height]),v=e.mul(e.sub(e.div(b,255),.5),2),m=x.blazeFaceModel.predict(v),y=e.squeeze(m),w=(n=y,r=x.anchors,o=x.inputSize,i=e.slice(n,[0,1],[-1,2]),s=e.add(i,r),a=e.slice(n,[0,3],[-1,2]),c=e.div(a,o),u=e.div(s,o),l=e.div(c,2),d=e.sub(u,l),f=e.add(u,l),h=e.mul(d,o),p=e.mul(f,o),e.concat2d([h,p],1)),g=e.slice(y,[0,0],[-1,1]);return[y,w,e.squeeze(e.sigmoid(g))]}),c=a[0],u=a[1],l=a[2],d=console.warn,console.warn=function(){},f=e.image.nonMaxSuppression(u,l,this.maxFaces,this.iouThreshold,this.scoreThreshold),console.warn=d,[4,f.array()];case 1:return h=T.sent(),f.dispose(),p=h.map(function(t){return e.slice(u,[t,0],[1,-1])}),n?[3,3]:[4,Promise.all(p.map(function(t){return r(x,void 0,void 0,function(){var e;return o(this,function(n){switch(n.label){case 0:return[4,t.array()];case 1:return e=n.sent(),t.dispose(),[2,e]}})})}))];case 2:p=T.sent(),T.label=3;case 3:for(b=t.shape[1],v=t.shape[2],m=n?e.div([v,b],this.inputSize):[v/this.inputSizeData[0],b/this.inputSizeData[1]],y=[],w=function(t){var r=p[t],o=e.tidy(function(){var o=r instanceof e.Tensor?i(r):i(e.tensor2d(r));if(!s)return o;var a,u=h[t];return a=n?e.slice(x.anchors,[u,0],[1,2]):x.anchorsData[u],{box:o,landmarks:e.reshape(e.squeeze(e.slice(c,[u,5],[1,-1])),[6,-1]),probability:e.slice(l,[u],[1]),anchor:a}});y.push(o)},g=0;g<p.length;g++)w(g);return u.dispose(),l.dispose(),c.dispose(),[2,{boxes:y,scaleFactor:m}]}})})},t.prototype.estimateFaces=function(t,n,i,s){return void 0===n&&(n=!1),void 0===i&&(i=!1),void 0===s&&(s=!0),r(this,void 0,void 0,function(){var a,l,d,f,h,p,b=this;return o(this,function(v){switch(v.label){case 0:return a=function(t){return t instanceof e.Tensor?[t.shape[0],t.shape[1]]:[t.height,t.width]}(t),l=a[1],d=e.tidy(function(){return t instanceof e.Tensor||(t=e.browser.fromPixels(t)),e.expandDims(e.cast(t,"float32"),0)}),[4,this.getBoundingBoxes(d,n,s)];case 1:return f=v.sent(),h=f.boxes,p=f.scaleFactor,d.dispose(),n?[2,h.map(function(t){var n=u(t,p),r={topLeft:e.slice(n,[0],[2]),bottomRight:e.slice(n,[2],[2])};if(s){var o=t,a=o.landmarks,d=o.probability,f=o.anchor,h=e.mul(e.add(a,f),p);r.landmarks=h,r.probability=d}return i&&(r=c(r,l)),r})]:[2,Promise.all(h.map(function(t){return r(b,void 0,void 0,function(){var e,n,a,d,f,h,b,v,m,y,w,g=this;return o(this,function(x){switch(x.label){case 0:return e=u(t,p),s?[3,2]:[4,e.array()];case 1:return f=x.sent(),n={topLeft:f.slice(0,2),bottomRight:f.slice(2)},[3,4];case 2:return[4,Promise.all([t.landmarks,e,t.probability].map(function(t){return r(g,void 0,void 0,function(){return o(this,function(e){return[2,t.array()]})})}))];case 3:a=x.sent(),d=a[0],f=a[1],h=a[2],b=t.anchor,m=(v=p)[0],y=v[1],w=d.map(function(t){return[(t[0]+b[0])*m,(t[1]+b[1])*y]}),n={topLeft:f.slice(0,2),bottomRight:f.slice(2),landmarks:w,probability:h},(T=t.box).startEndTensor.dispose(),T.startPoint.dispose(),T.endPoint.dispose(),t.landmarks.dispose(),t.probability.dispose(),x.label=4;case 4:return e.dispose(),i&&(n=c(n,l)),[2,n]}var T})})}))]}})})},t}(),d="https://tfhub.dev/tensorflow/tfjs-model/blazeface/1/default/1";t.load=function(t){var e=void 0===t?{}:t,i=e.maxFaces,s=void 0===i?10:i,a=e.inputWidth,c=void 0===a?128:a,u=e.inputHeight,f=void 0===u?128:u,h=e.iouThreshold,p=void 0===h?.3:h,b=e.scoreThreshold,v=void 0===b?.75:b,m=e.modelUrl;return r(this,void 0,void 0,function(){var t;return o(this,function(e){switch(e.label){case 0:return null==m?[3,2]:[4,n.loadGraphModel(m)];case 1:return t=e.sent(),[3,4];case 2:return[4,n.loadGraphModel(d,{fromTFHub:!0})];case 3:t=e.sent(),e.label=4;case 4:return[2,new l(t,c,f,s,p,v)]}})})},t.BlazeFaceModel=l,Object.defineProperty(t,"__esModule",{value:!0})});
\ No newline at end of file
diff --git a/js/lang.js b/js/lang.js
index f6c181a..39c1a14 100644
--- a/js/lang.js
+++ b/js/lang.js
@@ -1,13 +1,13 @@
 var JSLang = {
     "zh": {
-        "tensorAI": "- 人工智能 Tensorflow.js -",
+        "tensorAI": "- 人工智能 -",
         "imageNet": "ImageNet 图像分类",
         "cocoSSD": "CocoSSD 对象检测",
         "deepLab": "DeepLab 图像分割",
-        "blazeFace": "BlazeFace 人脸检测",
-        "mediaPipe": "MediaPipe 手势检测",
+        "blazeFace": "人脸识别",
+        "mediaPipe": "手势检测",
         "MoveNet": "MoveNet 关节点识别",
-        "Bert": "BERT 文本问答",
+        "Bert": "文本问答",
         "SpeechCMD": "SpeechCMD 语音指令",
         "syncInterval": "自动更新频率",
         "sendInterval": "自动发送频率",
diff --git a/js/projects.js b/js/projects.js
index 0a37d8f..c83bf33 100644
--- a/js/projects.js
+++ b/js/projects.js
@@ -1066,6 +1066,7 @@ function view_project(projectName, projectType) {
                     'timer': add_timer,
                     'ble': add_ble,
                     'camera': add_camera,
+                    'face': add_face,
                     'input_mic': add_mic,
                     'tinydb': add_tinydb,
                 }
@@ -1741,11 +1742,15 @@ function add_widget() {
     widget_list.append(decorate_pic_add)
     var magic_add = $("<div class='widget_div'><div><img src='icons/magic.svg'><span>" + JSLang[lang].magic + "</span></div><a class='btn btn-success btn-block'><i class='fa fa-plus'></i></a></div>")
     widget_list.append(magic_add)
-    /*
+
     widget_list.append($("<h5 style='width:100%;text-align:center;margin-bottom:5px;margin-top:10px;color:#4e73df;font-size:1.3rem;font-weight:bold'>" + JSLang[lang].tensorAI + "</h5>"))
-    var imageNet_add = $("<div class='widget_div'><div><img src='icons/input_keyboard.svg'><span>" + JSLang[lang].imageNet + "</span></div><a class='btn btn-secondary btn-block'><i class='fa fa-plus'></i></a></div>")
-    widget_list.append(imageNet_add)
-    */
+    var blazeFace_add = $("<div class='widget_div'><div><img src='icons/blazeFace.svg'><span>" + JSLang[lang].blazeFace + "</span></div><a class='btn btn-success btn-block'><i class='fa fa-plus'></i></a></div>")
+    widget_list.append(blazeFace_add)
+    var mediaPipe_add = $("<div class='widget_div'><div><img src='icons/mediaPipe.svg'><span>" + JSLang[lang].mediaPipe + "</span></div><a class='btn btn-secondary btn-block'><i class='fa fa-plus'></i></a></div>")
+    widget_list.append(mediaPipe_add)
+    var bertQA_add = $("<div class='widget_div'><div><img src='icons/Bert.svg'><span>" + JSLang[lang].Bert + "</span></div><a class='btn btn-secondary btn-block'><i class='fa fa-plus'></i></a></div>")
+    widget_list.append(bertQA_add)
+
     ble_add.children("a").click(function() {
         d.close().remove()
         var editForm = $('<div class="nnt"/>')
@@ -1841,6 +1846,55 @@ function add_widget() {
         modifyDia.showModal()
     })
 
+    blazeFace_add.children("a").click(function() {
+        d.close().remove()
+        var editForm = $('<div class="nnt"/>')
+        editForm.append($('<div style="margin-top:-63px;margin-left:82.5px;margin-bottom:15px;box-shadow: 1px 1px 20px #4e73df;background-color:white;width:75px;height:75px;padding:40px;border-radius:80px;border:solid #4e73df 3px;display:flex;align-items:center;justify-content:center"><img src="icons/camera.svg" style="width:45px;"></div>'))
+        editForm.append($('<h5 style="text-align:center">' + JSLang[lang].unitName + '</h5>'))
+        var title_input_div = $('<div style="display:flex;flex-direction:row;align-items:center"/>')
+        var title_input = $("<input class='form-control form-control-user'  style='text-align:center' autofocus='autofocus'/>")
+        title_input_div.append(title_input)
+        editForm.append(title_input_div)
+        editForm.append($('<h5 style="margin-top:15px;text-align:center">' + JSLang[lang].messTopic + '</h5>'))
+        var topic_input_div = $('<div style="display:flex;flex-direction:row;align-items:center"/>')
+        var topic_input = $("<input class='form-control form-control-user'  style='text-align:center'/>")
+        topic_input_div.append(topic_input)
+        topic_input.val("face")
+        editForm.append(topic_input_div)
+        var bottomDiv = $('<div style="width:100%;margin-top:15px;display:flex;flex-direction:row;align-items:center;justify-content:space-around"/>')
+        var confirmEdit = $('<a class="btn btn-primary btn-circle" style="margin-right:10px;box-shadow:1px 1px 5px #4e73df;"><i class="fa fa-check"></i></a>')
+        bottomDiv.append(confirmEdit)
+        confirmEdit.click(function() {
+            if (getByteLen(title_input.val()) > 0 && getByteLen(title_input.val()) < 21) {
+                var re = /^[a-z0-9]+$/i;
+                if (getByteLen(topic_input.val()) > 0 && getByteLen(topic_input.val()) < 11)
+                    if (true) {
+                        if (countSubstr(grid.html(), 'user-title=\"' + title_input.val() + '\"', false) <= 0) {
+                            add_face(title_input.val(), topic_input.val(), "")
+                            modifyDia.close().remove()
+                        } else
+                            showtext(JSLang[lang].sameUnit)
+                    } else
+                        showtext("")
+                else
+                    showtext(JSLang[lang].topicLenIllegal)
+            } else
+                showtext(JSLang[lang].nameLenIllegal)
+        })
+        var cancelEdit = $('<a class="btn btn-danger btn-circle"><i class="fa fa-arrow-left"></i></a>')
+        cancelEdit.click(function() {
+            modifyDia.close().remove()
+            add_widget()
+        })
+        bottomDiv.append(cancelEdit)
+        editForm.append(bottomDiv)
+        var modifyDia = dialog({
+            content: editForm[0],
+            cancel: false
+        })
+        modifyDia.showModal()
+    })
+
     input_camera_add.children("a").click(function() {
         d.close().remove()
         var editForm = $('<div class="nnt"/>')
diff --git a/js/tf.min.js b/js/tf.min.js
new file mode 100644
index 0000000..8c7a4fe
--- /dev/null
+++ b/js/tf.min.js
@@ -0,0 +1,18 @@
+/**
+ * @license
+ * Copyright 2020 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(t,e){"object"==typeof exports&&"undefined"!=typeof module?e(exports):"function"==typeof define&&define.amd?define(["exports"],e):e((t=t||self).tf=t.tf||{})}(this,(function(t){"use strict";var e="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{};function n(t,e){return t(e={exports:{}},e.exports),e.exports}var r=function(t){return t&&t.Math==Math&&t},a=r("object"==typeof globalThis&&globalThis)||r("object"==typeof window&&window)||r("object"==typeof self&&self)||r("object"==typeof e&&e)||Function("return this")(),i=function(t){try{return!!t()}catch(t){return!0}},o=!i((function(){return 7!=Object.defineProperty({},1,{get:function(){return 7}})[1]})),s={}.propertyIsEnumerable,u=Object.getOwnPropertyDescriptor,c={f:u&&!s.call({1:2},1)?function(t){var 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e(),t}},e.nextTensorId=function(){return t.nextTensorId++},e.nextVariableId=function(){return t.nextVariableId++},e.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],(function(t){return{x:function(){return t.toFloat()}}}),[],{}),e},e.runKernel=function(t,e,n,r,a){return this.runKernelFunc(null,e,null,t,n,r,a)},e.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},e.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),a=0;n.forEach((function(t){a+="complex64"===t.dtype?3:1}));var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-e-a-i;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+t+"'")},e.runKernelFunc=function(t,e,n,r,a,i,o){var s,u=this,c=[],l=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var 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n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*zv(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof bg||this.track(t)},e.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},e.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},e.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},e.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},e.profile=function(){var t=Vm(regeneratorRuntime.mark((function t(e){var n,r;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=e(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(t){return 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o=function(t,e,n){for(var r={},a={},i=0;i<e.length;i++)r[e[i].id]=!0;for(var o=0;o<t.length;o++){var s=t[o],u=s.inputs;for(var c in u){for(var l=u[c],h=!1,f=0;f<e.length;f++)if(r[l.id]){s.outputs.forEach((function(t){return r[t.id]=!0})),h=!0,a[s.id]=!0;break}if(h)break}}var p={};p[n.id]=!0;for(var d={},m=t.length-1;m>=0;m--)for(var v=t[m],g=v.inputs,y=0;y<v.outputs.length;y++)if(p[v.outputs[y].id]){for(var b in g)p[g[b].id]=!0,d[v.id]=!0;break}for(var x=[],w=0;w<t.length;w++){var k=t[w];if(a[k.id]&&d[k.id]){var S={};for(var C in k.inputs){var R=k.inputs[C];r[R.id]&&(S[C]=R)}var N=Object.assign({},k);N.inputs=S,N.outputs=k.outputs,x.push(N)}}return x}(this.state.activeTape,e,i);if(!r&&0===o.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. 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The gradient of input '"+e+"' has shape '"+r.shape+"', which does not match the shape of the input '"+i.shape+"'");if(null==t[i.id])t[i.id]=r;else{var s=t[i.id];t[i.id]=s.add(r),s.dispose()}};for(var u in a.inputs)s(u)},a=e.length-1;a>=0;a--)r(a)}(s,o,(function(t){return a.tidy(t)}));var u=e.map((function(t){return s[t.id]}));return 0===a.state.gradientDepth&&(a.state.activeTape.forEach((function(t){for(var e,n=Zm(t.saved);!(e=n()).done;){e.value.dispose()}})),a.state.activeTape=null),{value:i,grads:u}}))},e.customGrad=function(t){var e=this;return gv(jv(t),(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;gv(r.every((function(t){return t instanceof pg})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var o={};return r.forEach((function(t,e){o[e]=t})),e.runKernelFunc((function(e,n){return gv((i=t.apply(void 0,[].concat(r,[n]))).value instanceof pg,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),gv(jv(i.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),i.value}),o,(function(t,e){var n=i.gradFunc(t,e),a=Array.isArray(n)?n:[n];gv(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(...)."})),gv(a.every((function(t){return t instanceof pg})),(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(t,e){o[e]=function(){return t}})),o}))}},e.readSync=function(t){return this.state.tensorInfo.get(t).backend.readSync(t)},e.read=function(t){return this.state.tensorInfo.get(t).backend.read(t)},e.time=function(){var t=Vm(regeneratorRuntime.mark((function t(e){var n,r;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return n=Jv(),t.next=3,this.backend.time(e);case 3:return(r=t.sent).wallMs=Jv()-n,t.abrupt("return",r);case 6:case"end":return t.stop()}}),t,this)})));return function(e){return t.apply(this,arguments)}}(),e.track=function(t){return null!=this.state.activeScope&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t},e.reset=function(){for(var t in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Ig,this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},jm(t,[{key:"backend",get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. 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Expected an string,function, Array, or Object, found: "+t);n=t}if(Array.isArray(n))return e.map((function(t){return n}));for(var r,a=[],i=Zm(e);!(r=i()).done;){var o=r.value,s=n.hasOwnProperty(o)?n[o]:[];Array.isArray(s)||(s=[s]),a.push(s)}return a}(t.metrics,this.outputNames),d=function(t,n,r){e.outputNames.length>1&&(n=e.outputNames[t]+"_"+n),e.metricsNames.push(n),e.metricsTensors.push([r,t])};gE("metric",(function(){for(var t=function(t){if(-1!==f.indexOf(t))return"continue";!function(n){for(var r,a,i,o,s=Zm(n);!(o=s()).done;){var u=o.value;if("string"==typeof u&&-1!==["accuracy","acc","crossentropy","ce"].indexOf(u)){var c=e.internalOutputShapes[t];1===c[c.length-1]||e.lossFunctions[t]===$I?-1!==["accuracy","acc"].indexOf(u)?a=eA:-1!==["crossentropy","ce"].indexOf(u)&&(a=oA):e.lossFunctions[t]===JI?-1!==["accuracy","acc"].indexOf(u)?a=sA:-1!==["crossentropy","ce"].indexOf(u)&&(a=cA):-1!==["accuracy","acc"].indexOf(u)?a=nA:-1!==["crossentropy","ce"].indexOf(u)&&(a=uA);var l=void 0;-1!==["accuracy","acc"].indexOf(u)?l="acc":-1!==["crossentropy","ce"].indexOf(u)&&(l="ce"),i=a,r=""+l}else{var h=hA(u);i=h,r=""+fA(u)}var f=void 0;gE(r,(function(){f=i})),d(t,r,f)}}(p[t])},n=0;n<e.outputs.length;++n)t(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(t,e,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;VA(r);var a=this.standardizeUserDataXY(t,e,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return zN(this.testLoop(o,i,r,n.verbose,n.steps))}finally{JA(a[0],t),JA(a[1],e)}},n.evaluateDataset=function(){var t=Vm(regeneratorRuntime.mark((function t(e,n){return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return this.makeTestFunction(),t.abrupt("return",PA(this,e,n));case 2:case"end":return t.stop()}}),t,this)})));return function(e,n){return t.apply(this,arguments)}}(),n.checkNumSamples=function(t,e,n,r){var a;if(void 0===r&&(r="steps"),null!=n){if(a=null,null!=e)throw new DN("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+e)}else{if(null==t)throw new DN("Either the input data should have a defined shape, or "+r+" shoud be specified.");a=Array.isArray(t)?t[0].shape[0]:t.shape[0]}return a},n.execute=function(t,e){if(Array.isArray(e)&&0===e.length)throw new DN("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(e),r=n?e:[e],a=this.retrieveSymbolicTensors(r),i=new xA;if(t instanceof pg&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new DN("The number of inputs provided ("+t.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],t[o])}else for(var s,u=Zm(this.inputs);!(s=u()).done;){var c=s.value,l=t[c.name];if(null==l)throw new DN("No value is provided for the model's input "+c.name);i.add(c,l)}var h=SA(a,i);return n?h:h[0]},n.retrieveSymbolicTensors=function(t){for(var e,n=FN(null,t.length),r=t.length,a=Zm(this.layers);!(e=a()).done;){for(var i=e.value,o=Array.isArray(i.output)?i.output:[i.output],s=o.map((function(t){return t.name})),u=0;u<t.length;++u){var c=s.indexOf(t[u]);if(-1!==c&&(n[u]=o[c],r--),0===r)break}if(0===r)break}if(r>0){var l=[];throw n.forEach((function(e,n){null==e&&l.push(t[n])})),new DN("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(l))}return n},n.predictLoop=function(t,e,n){var r=this;return void 0===e&&(e=32),void 0===n&&(n=!1),Nb((function(){var a=r.checkNumSamples(t);if(n)throw new _N("Verbose predictLoop() is not implemented yet.");for(var i=GA(a,e),o=r.outputs.map((function(t){return[]})),s=function(e){Nb((function(){var n=i[e][0],a=i[e][1],o=UA(t,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 c=new xA(s);return SA(r.outputs,c)})).forEach((function(t,e){return o[e].push(t)}))},u=0;u<i.length;++u)s(u);return zN(o.map((function(t){return wy(t,0)})))}))},n.predict=function(t,e){void 0===e&&(e={});var n=YA(t);tT(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==e.batchSize?32:e.batchSize;return VA(r),this.predictLoop(n,r)}finally{JA(n,t)}},n.predictOnBatch=function(t){tT(t,this.inputNames,this.feedInputShapes,!0);var e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)},n.standardizeUserDataXY=function(t,e,n,r){if(null==this.optimizer_)throw new TN("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]===JI?a.push(o.slice(0,o.length-1).concat([1])):a.push(o)}if(function(t,e,n){var r=qN(t.map((function(t){return t.shape[0]})));r.sort();var a=qN(e.map((function(t){return t.shape[0]})));if(a.sort(),r.length>1)throw new DN("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map((function(t){return t.shape}))));if(a.length>1)throw new DN("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map((function(t){return t.shape}))));if(r.length>0&&a.length>0&&!kv(r,a))throw new DN("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+a[0]+" target sample(s).")}(t=QA(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=QA(e,this.feedOutputNames,a,!1,"target")),function(t,e,n){for(var r=[HI,$I,YI],a=0;a<t.length;++a){var i=t[a],o=e[a],s=n[a];if(null!=o){if(o===YI&&1===i.shape[i.shape.length-1])throw new DN("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),c=s.slice(1),l=0;l<u.length;++l){var h=u[l],f=c[l];if(null!=f&&h!==f)throw new DN("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.")}}}}(e,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&t[0].shape[0]%r!=0)throw new DN("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+t[0].shape[0]+" sample(s).");return[t,e]},n.standardizeUserData=function(){var t=Vm(regeneratorRuntime.mark((function t(e,n,r,a,i,o){var s,u,c,l,h,f;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:if(void 0===i&&(i=!0),s=this.standardizeUserDataXY(e,n,i,o),u=s[0],c=s[1],null==r){t.next=4;break}throw new Error("sample weight is not supported yet.");case 4:if(l=null,null==a){t.next=18;break}h=EA(a,this.outputNames),l=[],f=0;case 9:if(!(f<h.length)){t.next=18;break}return t.t0=l,t.next=13,IA(c[f],null,h[f]);case 13:t.t1=t.sent,t.t0.push.call(t.t0,t.t1);case 15:++f,t.next=9;break;case 18:return t.abrupt("return",[u,c,l]);case 19:case"end":return t.stop()}}),t,this)})));return function(e,n,r,a,i,o){return t.apply(this,arguments)}}(),n.testLoop=function(t,e,n,r,a){var i=this;return void 0===r&&(r=0),Nb((function(){var o=i.checkNumSamples(e,n,a,"steps"),s=[];if(r>0)throw new _N("Verbose mode is not implemented yet.");if(null!=a)throw new _N("steps mode in testLoop() is not implemented yet");for(var u=GA(o,n),c=sy(NE(0,o)),l=0;l<u.length;++l){var h=u[l][0],f=u[l][1],p=AE(c,h,f-h),d=jA(e,p),m=t(d);if(0===l)for(var v=0;v<m.length;++v)s.push(oy(0));for(var g=0;g<m.length;++g){var y=m[g];s[g]=Db(s[g],kx(f-h,y))}}for(var b=0;b<s.length;++b)s[b]=Ix(s[b],o);return s}))},n.getDedupedMetricsNames=function(){for(var t=this.metricsNames,e=[],n=0;n<t.length;++n){var r=t[n],a=r;if(LN(t,r)>1)a+="_"+LN(t.slice(0,n),r);e.push(a)}return e},n.makeTrainFunction=function(){var t=this;return function(e){var n=[],r=e.slice(0,t.inputs.length),a=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),i=e.slice(t.inputs.length+t.outputs.length,t.inputs.length+2*t.outputs.length),o=[],s=t.collectedTrainableWeights.map((function(t){return t.read()}));return[t.optimizer_.minimize((function(){for(var e=[],s=0;s<t.inputs.length;++s)e.push({key:t.inputs[s],value:r[s]});for(var u,c=new xA(e),l=SA(t.outputs,c,{training:!0}),h=0;h<t.lossFunctions.length;++h){var f=(0,t.lossFunctions[h])(a[h],l[h]);null!=i[h]&&(f=TA(f,i[h]));var p=Hy(f);n.push(p),u=0===h?f:Db(u,f)}for(var d=0;d<t.metricsTensors.length;++d){var m=void 0;if(t.outputs.length>1&&d<t.outputs.length)m=n[d];else{var v=t.metricsTensors[d][0],g=t.metricsTensors[d][1];m=Hy(v(a[g],l[g]))}Ib(m),o.push(m)}return u=Hy(u),t.calculateLosses().forEach((function(t){u=Db(u,t)})),u}),!0,s)].concat(o)}},n.makeTestFunction=function(){var t=this;this.testFunction=function(e){return Nb((function(){for(var n,r=[],a=e.slice(0,t.inputs.length),i=e.slice(t.inputs.length,t.inputs.length+t.outputs.length),o=[],s=0;s<t.inputs.length;++s)o.push({key:t.inputs[s],value:a[s]});for(var u=new xA(o),c=SA(t.outputs,u),l=0;l<t.lossFunctions.length;++l){var h=t.lossFunctions[l],f=Hy(h(i[l],c[l]));n=0===l?f:Db(n,f),r.push(n)}for(var p=0;p<t.metricsTensors.length;++p){var d=t.metricsTensors[p][0],m=t.metricsTensors[p][1],v=Hy(d(i[m],c[m]));r.push(v)}return r}))}},n.fit=function(){var t=Vm(regeneratorRuntime.mark((function t(e,n,r){return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return void 0===r&&(r={}),t.abrupt("return",KA(this,e,n,r));case 2:case"end":return t.stop()}}),t,this)})));return function(e,n,r){return t.apply(this,arguments)}}(),n.fitDataset=function(){var t=Vm(regeneratorRuntime.mark((function t(e,n){return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.abrupt("return",FA(this,e,n));case 1:case"end":return t.stop()}}),t,this)})));return function(e,n){return t.apply(this,arguments)}}(),n.trainOnBatch=function(){var t=Vm(regeneratorRuntime.mark((function t(e,n){var r,a,i,o,s,u,c,l,h,f;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:return t.next=2,this.standardizeUserData(e,n);case 2:r=t.sent,a=r[0],i=r[1],o=this.makeTrainFunction(),s=o(a.concat(i)),u=[],c=Zm(s);case 9:if((l=c()).done){t.next=17;break}return h=l.value,t.next=13,h.data();case 13:f=t.sent,u.push(f[0]);case 15:t.next=9;break;case 17:return Eb(s),t.abrupt("return",zN(u));case 19:case"end":return t.stop()}}),t,this)})));return function(e,n){return t.apply(this,arguments)}}(),n.getNamedWeights=function(t){for(var e=[],n=null!=t&&t.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||e.push({name:r[i].originalName,tensor:a[i]});return e},n.dispose=function(){var e=t.prototype.dispose.call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=Rb().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=n-Rb().numTensors}return e},n.getLossIdentifiers=function(){var t;if("string"==typeof this.loss)t=PN(this.loss);else if(Array.isArray(this.loss)){for(var e,n=Zm(this.loss);!(e=n()).done;){if("string"!=typeof e.value)throw new Error("Serialization of non-string loss is not supported.")}t=this.loss.map((function(t){return PN(t)}))}else{var r=Object.keys(this.loss);t={};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.");t[s]=PN(a[s])}}return t},n.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[PN(fA(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(t){return PN(fA(t))}));var t={};for(var e in this.metrics)t[e]=PN(fA(this.metrics[e]));return t},n.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},n.loadTrainingConfig=function(t){if(null!=t.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=t.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=t.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var e,n,r=GI(bA(t.optimizer_config));if("string"==typeof t.loss)e=WN(t.loss);else if(Array.isArray(t.loss))e=t.loss.map((function(t){return WN(t)}));else if(null!=t.loss)for(var a in e={},t.loss)e[a]=WN(t.loss[a]);if(Array.isArray(t.metrics))n=t.metrics.map((function(t){return WN(t)}));else if(null!=t.metrics)for(var i in n={},t.metrics)n[i]=WN(t.metrics[i]);this.compile({loss:e,metrics:n,optimizer:r})},n.save=function(){var t=Vm(regeneratorRuntime.mark((function t(e,n){var r,a,i,o,s,u,c,l,h;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:if("string"!=typeof e){t.next=9;break}if(0!==(r=Iw(e)).length){t.next=6;break}throw new DN("Cannot find any save handlers for URL '"+e+"'");case 6:if(!(r.length>1)){t.next=8;break}throw new DN("Found more than one ("+r.length+") save handlers for URL '"+e+"'");case 8:e=r[0];case 9:if(null!=e.save){t.next=11;break}throw new DN("LayersModel.save() cannot proceed because the IOHandler provided does not have the 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t.apply(this,arguments)}}(),n.setUserDefinedMetadata=function(t){pA(t,this.name),this.userDefinedMetadata=t},n.getUserDefinedMetadata=function(){return this.userDefinedMetadata},jm(e,[{key:"stopTraining",set:function(t){this.stopTraining_=t},get:function(){return this.stopTraining_}},{key:"optimizer",get:function(){return this.optimizer_},set:function(t){this.optimizer_!==t&&(this.optimizer_=t,this.isOptimizerOwned=!1)}}]),e}(function(t){function e(n){var r;if((r=t.call(this,{})||this).containerNodes=new Set,r.name=n.name,null==r.name){var a=r.getClassName().toLowerCase();r.name=mI(a)}if(r.supportsMasking=!1,r.trainable_=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],qN(r.inputs).length!==r.inputs.length)throw new DN("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+r.inputs.map((function(t){return t.name})));qN(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. 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o=a.value;t.numDisposedVariables+=o.dispose().numDisposedVariables}}return t.refCountAfterDispose=this._refCount,t},n.loadWeights=function(t,e){void 0===e&&(e=!0);for(var n,r={},a=0,i=Zm(this.layers);!(n=i()).done;)for(var o,s=Zm(n.value.weights);!(o=s()).done;){var u=o.value;if(null!=r[u.originalName])throw new DN("Duplicate weight name: "+u.originalName);r[u.originalName]=u,a++}var c=[];for(var l in t){if(null!=r[l])c.push([r[l],t[l]]);else if(e)throw new DN("Provided weight data has no target variable: "+l);delete r[l]}if(e){var h=[];for(var f in r)h.push(f);if(h.length>0)throw new DN(h.length+" of "+a+" weights are not set: "+h)}SI(c)},n.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers 2.0.0",e.backend="TensorFlow.js",e},n.toJSON=function(t,e){void 0===e&&(e=!0);var n=function t(e,n){if(null==e)return null;if("string"==typeof e)return PN(e);if("number"==typeof e||"boolean"==typeof e)return e;if(e 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Received: "+t.length+" elements.");for(var r=0;r<e;++r){var a=t[r];if((i=a)!==parseInt(i.toString(),10))throw new DN("The "+n+" argument must be an integer or tuple of "+e+" integers. Received: "+JSON.stringify(t)+" including a non-integer number "+a)}return t;var i}function PT(t,e,n,r,a){return void 0===a&&(a=1),null==t?t:(i="same"===n?t:t-(e+(e-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function WT(t,e,n,r){if(null==t)return null;if("valid"===r)t=t*e+RE([n-e,0]);else{if("same"!==r)throw new DN("Unsupport padding mode: "+r+".");t*=e}return t}function VT(t,e){return Nb((function(){return pE(e),"channelsFirst"===e?Bx(t,[0,2,3,1]):t}))}function UT(t,e){return Nb((function(){return pE(e),"channelsFirst"===e?Bx(t,[0,2,3,4,1]):t}))}function jT(t,e,n,r,a,i,o,s){return void 0===r&&(r=[1,1]),void 0===a&&(a="valid"),void 0===s&&(s=null),Nb((function(){if(null==i&&(i="channelsLast"),pE(i),3!==t.rank&&4!==t.rank)throw new DN("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+t.rank+".");if(3!==e.rank&&4!==e.rank)throw new DN("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+t.rank+".");var u=VT(t,i);if("causal"===a)throw new _N("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=WR({x:u,filter:e,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=Bx(u,[0,3,1,2])),u}))}zT.className="Softmax",Fk(zT);var GT=function(t){function e(n,r){var a;if((a=t.call(this,r)||this).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",e.verifyArgs(r),a.rank=n,YN(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new _N("Convolution layer for rank other than 1, 2, or 3 ("+a.rank+") is not implemented yet.");if(a.kernelSize=BT(r.kernelSize,n,"kernelSize"),a.strides=BT(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,dE(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,pE(a.dataFormat),a.activation=CT(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=lI(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=oE(r.biasConstraint),a.biasRegularizer=DT(r.biasRegularizer),a.activityRegularizer=DT(r.activityRegularizer),a.dilationRate=BT(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new DN("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 DN("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 DN("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(a.dilationRate));return a}return Gm(e,t),e.verifyArgs=function(t){if(MN("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!XN(t.kernelSize,"number",1,3))throw new DN("BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received "+JSON.stringify(t.kernelSize)+".")},e.prototype.getConfig=function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:kT(this.activation),useBias:this.useBias,biasInitializer:cI(this.biasInitializer),biasRegularizer:AT(this.biasRegularizer),activityRegularizer:AT(this.activityRegularizer),biasConstraint:aE(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI),qT=function(t){function e(n,r){var a;return(a=t.call(this,n,r)||this).kernel=null,e.verifyArgs(r),a.filters=r.filters,YN(a.filters,"filters"),a.kernelInitializer=lI(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=oE(r.kernelConstraint),a.kernelRegularizer=DT(r.kernelRegularizer),a}Gm(e,t);var n=e.prototype;return n.build=function(t){var e;t=bI(t);var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new DN("The channel dimension of the input should be defined. Found "+t[n]);var r=t[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:(e={},e[n]=r,e)}],this.built=!0},n.call=function(t,e){var n=this;return Nb((function(){var e;t=yI(t);var r,a,i,o,s,u,c,l=null==n.bias?null:n.bias.read(),h=JN(n.activation.getClassName());if(null!=h&&2===n.rank)e=jT(t,n.kernel.read(),l,n.strides,n.padding,n.dataFormat,n.dilationRate,h);else{if(1===n.rank)r=t,a=n.kernel.read(),i=l,o=n.strides[0],s=n.padding,u=n.dataFormat,c=n.dilationRate[0],void 0===o&&(o=1),void 0===s&&(s="valid"),void 0===c&&(c=1),e=Nb((function(){if(null==u&&(u="channelsLast"),pE(u),3!==r.shape.length)throw new DN("The input of a conv1dWithBias operation should be 3, but is "+r.shape.length+" instead.");if(3!==a.shape.length)throw new DN("The kernel for a conv1dWithBias operation should be 3, but is "+a.shape.length+" instead");if(null!=i&&1!==i.shape.length)throw new DN("The bias for a conv1dWithBias operation should be 1, but is "+a.shape.length+" instead");if("channelsFirst"===u&&(r=Bx(r,[0,2,1])),"causal"===s)throw new _N("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var t=Zk(r,a,o,"same"===s?"same":"valid","NWC",c);return null!=i&&(t=WE(t,i)),t}));else if(2===n.rank)e=jT(t,n.kernel.read(),l,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new _N("convolutions greater than 3D are not implemented yet.");e=function(t,e,n,r,a,i,o){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),Nb((function(){if(null==i&&(i="channelsLast"),pE(i),4!==t.rank&&5!==t.rank)throw new DN("conv3dWithBias expects input to be of rank 4 or 5, but received "+t.rank+".");if(4!==e.rank&&5!==e.rank)throw new DN("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+t.rank+".");var s=UT(t,i);if("causal"===a)throw new _N("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=tS(s,e,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=WE(s,n)),"channelsFirst"===i&&(s=Bx(s,[0,4,1,2,3])),s}))}(t,n.kernel.read(),l,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(e=n.activation.apply(e))}return e}))},n.computeOutputShape=function(t){t=bI(t);for(var e=[],n="channelsLast"===this.dataFormat?t.slice(1,t.length-1):t.slice(2),r=0;r<n.length;++r){var a=PT(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);e.push(a)}var i=[t[0]];return"channelsLast"===this.dataFormat?(i=i.concat(e)).push(this.filters):(i.push(this.filters),i=i.concat(e)),i},n.getConfig=function(){var e={filters:this.filters,kernelInitializer:cI(this.kernelInitializer),kernelRegularizer:AT(this.kernelRegularizer),kernelConstraint:aE(this.kernelConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.verifyArgs=function(t){if(!("filters"in t)||"number"!=typeof t.filters||t.filters<1)throw new DN("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},e}(GT),HT=function(t){function e(n){var r;return r=t.call(this,2,n)||this,e.verifyArgs(n),r}return Gm(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!XN(t.kernelSize,"number",1,2))throw new DN("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e}(qT);HT.className="Conv2D",Fk(HT);var KT=function(t){function e(n){var r;return r=t.call(this,3,n)||this,e.verifyArgs(n),r}return Gm(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&(!Array.isArray(t.kernelSize)||1!==t.kernelSize.length&&3!==t.kernelSize.length))throw new DN("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(t.kernelSize)+".")},e}(qT);KT.className="Conv3D",Fk(KT);var XT=function(t){function e(e){var n;if((n=t.call(this,e)||this).inputSpec=[new CI({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new DN("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}Gm(e,t);var n=e.prototype;return n.build=function(t){var e;if(4!==(t=bI(t)).length)throw new DN("Input should have rank 4; Received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new DN("The channel dimension of the inputs should be defined. Found `None`.");var r=t[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 CI({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},n.call=function(t,e){var n=this;return Nb((function(){var e=yI(t);if(4!==e.shape.length)throw new DN("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+e.shape.length);var r,a,i=e.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],c=n.kernelSize[0],l=n.kernelSize[1],h=n.strides[0],f=n.strides[1],p=[o,WT(s,h,c,n.padding),WT(u,f,l,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(e=Bx(e,[0,2,3,1]));var d=Qk(e,n.kernel.read(),p,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=Bx(d,[0,3,1,2])),null!=n.bias&&(d=WE(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))},n.computeOutputShape=function(t){var e,n,r,a=(t=bI(t)).slice();"channelsFirst"===this.dataFormat?(e=1,n=2,r=3):(e=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[e]=this.filters,a[n]=WT(a[n],s,i,this.padding),a[r]=WT(a[r],u,o,this.padding),a},n.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.dilationRate,e},e}(HT);XT.className="Conv2DTranspose",Fk(XT);var YT=function(t){function e(e,n){var r;if((r=t.call(this,e,n)||this).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new DN("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new DN("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 DN("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=lI(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=DT(n.depthwiseRegularizer),r.depthwiseConstraint=oE(n.depthwiseConstraint),r.pointwiseInitializer=lI(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=DT(n.pointwiseRegularizer),r.pointwiseConstraint=oE(n.pointwiseConstraint),r}Gm(e,t);var n=e.prototype;return n.build=function(t){var e;if((t=bI(t)).length<this.rank+2)throw new DN("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n]||t[n]<0)throw new DN("The channel dimension of the inputs should be defined, but found "+JSON.stringify(t[n]));for(var r=t[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);this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new CI({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},n.call=function(t,e){var n=this;return Nb((function(){var e;if(t=yI(t),1===n.rank)throw new _N("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(t=Bx(t,[0,2,3,1])),e=qS(t,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(e=WE(e,n.bias.read(),n.dataFormat)),null!=n.activation&&(e=n.activation.apply(e)),"channelsFirst"===n.dataFormat&&(e=Bx(e,[0,3,1,2])),e}))},n.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=cI(this.depthwiseInitializer),e.pointwiseInitializer=cI(this.pointwiseInitializer),e.depthwiseRegularizer=AT(this.depthwiseRegularizer),e.pointwiseRegularizer=AT(this.pointwiseRegularizer),e.depthwiseConstraint=aE(this.depthwiseConstraint),e.pointwiseConstraint=aE(this.pointwiseConstraint),e},e}(qT);YT.className="SeparableConv";var JT=function(t){function e(e){return t.call(this,2,e)||this}return Gm(e,t),e}(YT);JT.className="SeparableConv2D",Fk(JT);var $T=function(t){function e(n){var r;return r=t.call(this,1,n)||this,e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return Gm(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.dataFormat,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!XN(t.kernelSize,"number",1,1))throw new DN("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e}(qT);$T.className="Conv1D",Fk($T);var ZT=function(t){function e(e){var n;return n=t.call(this,e)||this,"number"==typeof e.cropping?n.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"==typeof e.cropping[0]?n.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:n.cropping=e.cropping,n.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,n.inputSpec=[{ndim:4}],n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){return"channelsFirst"===this.dataFormat?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]},n.call=function(t,e){var n=this;return Nb((function(){if(t=yI(t),"channelsLast"===n.dataFormat){var e=DE(t,n.cropping[0][0],t.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return DE(e,n.cropping[1][0],t.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=DE(t,n.cropping[0][0],t.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return DE(r,n.cropping[1][0],t.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))},n.getConfig=function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);ZT.className="Cropping2D",Fk(ZT);var QT=function(t){function e(e){var n;return(n=t.call(this,e)||this).DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==e.size?n.DEFAULT_SIZE:e.size,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){if("channelsFirst"===this.dataFormat){var e=null==t[2]?null:this.size[0]*t[2],n=null==t[3]?null:this.size[1]*t[3];return[t[0],t[1],e,n]}var r=null==t[1]?null:this.size[0]*t[1],a=null==t[2]?null:this.size[1]*t[2];return[t[0],r,a,t[3]]},n.call=function(t,e){var n=this;return Nb((function(){var e=yI(t),r=e.shape;if("channelsFirst"===n.dataFormat){e=Bx(e,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o=e.resizeNearestNeighbor([a,i]);return Bx(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return e.resizeNearestNeighbor([s,u])}))},n.getConfig=function(){var e={size:this.size,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);QT.className="UpSampling2D",Fk(QT);var tD=function(t){function e(e){var n;return(n=t.call(this,2,e)||this).depthwiseKernel=null,n.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,n.depthwiseInitializer=lI(e.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=oE(e.depthwiseConstraint),n.depthwiseRegularizer=DT(e.depthwiseRegularizer),n}Gm(e,t);var n=e.prototype;return n.build=function(t){if((t=bI(t)).length<4)throw new DN("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(t)+".");var e="channelsFirst"===this.dataFormat?1:3;if(null==t[e]||t[e]<0)throw new DN("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+t[e]+").");var n=t[e],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(t,e){var n=this;return Nb((function(){t=yI(t);var e,r,a,i,o,s,u=(e=t,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"),Nb((function(){null==o&&(o="channelsLast"),pE(o);var t=VT(e,o);if(4!==e.rank)throw new DN("Input for depthwiseConv2d is required to be 4-D, but is instead "+e.rank+"-D");if(4!==r.rank)throw new DN("depthwiseKernel is required to be 4-D, but is instead "+r.rank+"-D");return t=rS(t,r,a,"same"===i?"same":"valid","NHWC",s),"channelsFirst"===o&&(t=Bx(t,[0,3,1,2])),t})));return n.useBias&&(u=WE(u,n.bias.read(),n.dataFormat)),null!=n.activation&&(u=n.activation.apply(u)),u}))},n.computeOutputShape=function(t){t=bI(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,a=PT(e,this.kernelSize[0],this.padding,this.strides[0]),i=PT(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[t[0],r,a,i]:[t[0],a,i,r]},n.getConfig=function(){var e=t.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=cI(this.depthwiseInitializer),e.depthwiseRegularizer=AT(this.depthwiseRegularizer),e.depthwiseConstraint=aE(this.depthwiseRegularizer),e},e}(GT);tD.className="DepthwiseConv2D",Fk(tD);var eD=function(t){function e(e){var n;return(n=t.call(this,e)||this).rate=Math.max(Math.min(e.rate,1),0),n.noiseShape=e.noiseShape,n.seed=e.seed,n.supportsMasking=!0,n}Gm(e,t);var n=e.prototype;return n.getNoiseShape=function(t){if(null==this.noiseShape)return this.noiseShape;for(var e=t.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?e[r]:this.noiseShape[r]);return n},n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e);var r=yI(t);if(0<n.rate&&n.rate<1){var a=null!=e.training&&e.training,i=n.getNoiseShape(r);return UE((function(){return VE(r,n.rate,i,n.seed)}),(function(){return r}),a)}return t}))},n.getConfig=function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},n.dispose=function(){return t.prototype.dispose.call(this)},e}(AI);eD.className="Dropout",Fk(eD);var nD=function(t){function e(e){var n;return(n=t.call(this,e)||this).inputSpec=[{ndim:3}],n}return Gm(e,t),e.prototype.getNoiseShape=function(t){var e=t.shape;return[e[0],1,e[2]]},e}(eD);nD.className="SpatialDropout1D",Fk(nD);var rD=function(t){function e(e){var n;if((n=t.call(this,e)||this).activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var r=null;null!=e.batchSize&&(r=e.batchSize),n.batchInputShape=[r,e.inputDim]}return n.units=e.units,YN(n.units,"units"),n.activation=CT(e.activation),null!=e.useBias&&(n.useBias=e.useBias),n.kernelInitializer=lI(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=lI(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=oE(e.kernelConstraint),n.biasConstraint=oE(e.biasConstraint),n.kernelRegularizer=DT(e.kernelRegularizer),n.biasRegularizer=DT(e.biasRegularizer),n.activityRegularizer=DT(e.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}Gm(e,t);var n=e.prototype;return n.build=function(t){var e,n=(t=bI(t))[t.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:(e={},e[-1]=n,e)}],this.built=!0},n.computeOutputShape=function(t){var e=(t=bI(t)).slice();return e[e.length-1]=this.units,e},n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e);var r,a=yI(t),i=JN(n.activation.getClassName());return null!=i?r=LE(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=LE(a,n.kernel.read()),null!=n.bias&&(r=WE(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},n.getConfig=function(){var e={units:this.units,activation:kT(this.activation),useBias:this.useBias,kernelInitializer:cI(this.kernelInitializer),biasInitializer:cI(this.biasInitializer),kernelRegularizer:AT(this.kernelRegularizer),biasRegularizer:AT(this.biasRegularizer),activityRegularizer:AT(this.activityRegularizer),kernelConstraint:aE(this.kernelConstraint),biasConstraint:aE(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);rD.className="Dense",Fk(rD);var aD=function(t){function e(e){var n;return e=e||{},(n=t.call(this,e)||this).inputSpec=[{minNDim:3}],n.dataFormat=e.dataFormat,n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){for(var e,n=Zm((t=bI(t)).slice(1));!(e=n()).done;){if(null==e.value)throw new DN('The shape of the input to "Flatten" is not fully defined (got '+t.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.')}return[t[0],kE(t,1)]},n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e);var r=yI(t);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=r.transpose(a)}return function(t){if(t.rank<=1)throw new DN("batchFlatten requires a minimum rank of 2. Got rank: "+t.rank+".");var e=[t.shape[0],kE(t.shape,1)];return t.reshape(e)}(r)}))},n.getConfig=function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);aD.className="Flatten",Fk(aD);var iD=function(t){function e(e){var n;return(n=t.call(this,e)||this).supportsMasking=!0,n.activation=CT(e.activation),n}Gm(e,t);var n=e.prototype;return n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e);var r=yI(t);return n.activation.apply(r)}))},n.getConfig=function(){var e={activation:kT(this.activation)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);iD.className="Activation",Fk(iD);var oD=function(t){function e(e){var n;return(n=t.call(this,e)||this).n=e.n,n.inputSpec=[{ndim:2}],n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){return[t[0],this.n,t[1]]},n.call=function(t,e){var n=this;return Nb((function(){return t=yI(t),e=t,r=n.n,Nb((function(){if(2!==e.shape.length)throw new DN("repeat() expects a rank-2 tensor, but received a rank-"+e.shape.length+" tensor.");return FE(IE(e,1),[1,r,1])}));var e,r}))},n.getConfig=function(){var e={n:this.n},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);oD.className="RepeatVector",Fk(oD);var sD=function(t){function e(e){var n;(n=t.call(this,e)||this).targetShape=e.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}Gm(e,t);var n=e.prototype;return n.isUnknown=function(t){return t<0||null==t},n.fixUnknownDimension=function(t,e){for(var n="Total size of new array must be unchanged.",r=e.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new DN("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=kE(t);if(null!==i){if(0===a||u%a!=0)throw new DN(n);r[i]=u/a}else if(u!==a)throw new DN(n);return r},n.computeOutputShape=function(t){for(var e=!1,n=0;n<t.length;++n)if(this.isUnknown(t[n])){e=!0;break}return e?t.slice(0,1).concat(this.targetShape):t.slice(0,1).concat(this.fixUnknownDimension(t.slice(1),this.targetShape))},n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e);var r=yI(t),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)}))},n.getConfig=function(){var e={targetShape:this.targetShape},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);sD.className="Reshape",Fk(sD);var uD=function(t){function e(e){var n;if(n=t.call(this,e)||this,null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+e.dims+" instead.");var r=NE(1,e.dims.length+1);if(!kv(e.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=e.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new CI({ndim:n.dims.length+1})],n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){var e=(t=bI(t)).slice();return this.dims.forEach((function(n,r){e[r+1]=t[n]})),e},n.call=function(t,e){return Bx(yI(t),this.dimsIncludingBatch)},n.getConfig=function(){var e={dims:this.dims},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);uD.className="Permute",Fk(uD);var cD=function(t){function e(e){var n;return(n=t.call(this,null==e?{}:e)||this).supportsMasking=!0,n.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){return t},n.getConfig=function(){var e=t.prototype.getConfig.call(this),n={maskValue:this.maskValue};return Object.assign(n,e),n},n.computeMask=function(t,e){var n=yI(t);return Uy(CS(n,this.maskValue),-1)},n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e);var r=yI(t),a=Uy(CS(r,n.maskValue),-1,!0);return r.mul(a.asType(r.dtype))}))},e}(AI);cD.className="Masking",Fk(cD);var lD=function(t){function e(e){var n;if((n=t.call(this,e)||this).embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var r=null;null!=e.batchSize&&(r=e.batchSize),null==e.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(BN(e.inputLength))}return n.inputDim=e.inputDim,YN(n.inputDim,"inputDim"),n.outputDim=e.outputDim,YN(n.outputDim,"outputDim"),n.embeddingsInitializer=lI(e.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=DT(e.embeddingsRegularizer),n.activityRegularizer=DT(e.activityRegularizer),n.embeddingsConstraint=oE(e.embeddingsConstraint),n.maskZero=e.maskZero,n.supportsMasking=e.maskZero,n.inputLength=e.inputLength,n}Gm(e,t);var n=e.prototype;return n.build=function(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},n.warnOnIncompatibleInputShape=function(t){},n.computeMask=function(t,e){var n=this;return Nb((function(){return n.maskZero?(t=yI(t),CS(t,xy(t))):null}))},n.computeOutputShape=function(t){if(t=bI(t),null==this.inputLength)return[].concat(t,[this.outputDim]);var e=BN(this.inputLength);if(e.length!==t.length-1)throw new DN('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);for(var n=0,r=0;r<e.length;++r){var a=e[r],i=t[r+1];if(null!=a&&null!=i&&a!==i)throw new DN('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);null==a&&(e[n]=i),n++}return[t[0]].concat(e,[this.outputDim])},n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e);var r=yI(t);return"int32"!==r.dtype&&(r=EE(r,"int32")),zE(n.embeddings.read(),r.as1D()).reshape(bI(n.computeOutputShape(r.shape)))}))},n.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:cI(this.embeddingsInitializer),embeddingsRegularizer:AT(this.embeddingsRegularizer),activityRegularizer:AT(this.activityRegularizer),embeddingsConstraint:aE(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);lD.className="Embedding",Fk(lD);var hD=function(t){function e(e){var n;return(n=t.call(this,e||{})||this).supportsMasking=!0,n}Gm(e,t);var n=e.prototype;return n.mergeFunction=function(t){throw new _N},n.computeElementwiseOpOutputShape=function(t,e){if(null==t||null==e)return null;if(t.length<e.length)return this.computeElementwiseOpOutputShape(e,t);if(0===e.length)return t;for(var n=t.slice(0,t.length-e.length),r=0;r<e.length;++r){var a=t[t.length-e.length+r],i=e[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 DN("Operands could not be broadcast together with shapes "+JSON.stringify(t)+" "+JSON.stringify(e));n.push(a)}}return n},n.build=function(t){if(Array.isArray(t)&&!Array.isArray(t[0])&&(t=[bI(t)]),(t=t).length<2)throw new DN("A merge layer should be called on an Array of at least 2 inputs. Got "+t.length+" input(s).");for(var e,n=[],r=Zm(t);!(e=r()).done;){var a=e.value;null!=a&&null!==a[0]&&n.push(a[0])}if((n=qN(n)).length>1)throw new DN("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(t)+".");for(var i=null==t[0]?null:t[0].slice(1),o=1;o<t.length;++o){var s=null==t[o]?null:t[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=t.map((function(t){return t.length}));-1===t.indexOf(null)&&1===qN(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0},n.call=function(t,e){var n=this;return Nb((function(){if(t=t,n.reshapeRequired){var e=[],r=t.map((function(t){return t.rank}));if(-1===r.indexOf(null)){for(var a,i=RE(r),o=Zm(t);!(a=o()).done;){for(var s=a.value,u=s.rank,c=0;c<i-u;++c)s=IE(s,1);e.push(s)}return n.mergeFunction(e)}for(var l,h=!1,f=Zm(t);!(l=f()).done;){var p=l.value,d=p.rank;if(null==d){var m=p.shape,v=m[0],g=m.slice(1).concat([v]),y=p.reshape([v].concat(kE(m.slice(1))));y=(y=Bx(y,[1,0])).reshape(g),e.push(y),h=!0}else if(d>1){var b=NE(1,d).concat([0]);e.push(Bx(p,b)),h=!0}else e.push(p)}var x=n.mergeFunction(e),w=x.rank;if(h)if(null==w){var k=x.shape,S=k[k.length-1],C=[S].concat(k.slice(0,k.length-1));x=Bx(x.reshape([-1,S]),[1,0]).reshape(C)}else if(w>1){var R=[w-1].concat(NE(0,w-1));x=Bx(x,R)}return x}return n.mergeFunction(t)}))},n.computeOutputShape=function(t){var e;e=null==(t=t)[0]?null:t[0].slice(1);for(var n=1;n<t.length;++n){var r=null==t[n]?null:t[n].slice(1);e=this.computeElementwiseOpOutputShape(e,r)}for(var a,i=[],o=Zm(t);!(a=o()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}return e=1===(i=qN(i)).length?i.concat(e):[null].concat(e)},n.computeMask=function(t,e){return Nb((function(){if(null==e)return null;if(!Array.isArray(e))throw new DN("`mask` should be an Array");if(!Array.isArray(t))throw new DN("`inputs` should be an Array");if(e.length!==t.length)throw new DN("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+t.length+" vs "+e.length+")");if(e.every((function(t){return null==t})))return null;for(var n=(e=e.map((function(t){return null==t?t:Ey(t,0)})))[0],r=1;r<e.length-1;++r)n=sS(n,e[r]);return n}))},e}(AI),fD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.mergeFunction=function(t){return Nb((function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Db(e,t[n]);return e}))},e}(hD);fD.className="Add",Fk(fD);var pD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.mergeFunction=function(t){return Nb((function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=kx(e,t[n]);return e}))},e}(hD);pD.className="Multiply",Fk(pD);var dD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.mergeFunction=function(t){return Nb((function(){for(var e=t[0].clone(),n=1;n<t.length;++n)e=Db(e,t[n]);return kx(1/t.length,e)}))},e}(hD);dD.className="Average",Fk(dD);var mD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.mergeFunction=function(t){return Nb((function(){for(var e=t[0],n=1;n<t.length;++n)e=vx(e,t[n]);return e}))},e}(hD);mD.className="Maximum",Fk(mD);var vD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.mergeFunction=function(t){return Nb((function(){for(var e=t[0],n=1;n<t.length;++n)e=yx(e,t[n]);return e}))},e}(hD);vD.className="Minimum",Fk(vD);var gD=function(t){function e(e){var n;return(n=t.call(this,e)||this).DEFAULT_AXIS=-1,null==e&&(e={}),n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}Gm(e,t);var n=e.prototype;return n.build=function(t){if(!Array.isArray(t)||!Array.isArray(t[0])||1===t.length)throw new DN("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var e,n=!0,r=Zm(t=t);!(e=r()).done;){if(null!=e.value){n=!1;break}}if(!n){for(var a=[],i=0;i<t.length;++i){var o=t[i].slice();o.splice(this.axis,1);for(var s,u=!1,c=Zm(a);!(s=c()).done;){if(kv(s.value,o)){u=!0;break}}u||a.push(o)}if(a.length>1)throw new DN("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}},n.mergeFunction=function(t){var e=this;return Nb((function(){return _E(t,e.axis)}))},n.computeOutputShape=function(t){if(!Array.isArray(t)||!Array.isArray(t[0]))throw new DN("A `Concatenate` layer should be called on a list of inputs.");for(var e,n=t,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=Zm(n.slice(1));!(e=i()).done;){var o=e.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}return r},n.computeMask=function(t,e){var n=this;if(null==e)return null;if(!Array.isArray(e))throw new DN("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new DN("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new DN("Mismatch in the length of mask ("+e.length+") and the legnth of inputs ("+t.length+")");return Nb((function(){var r=!0;if(e.forEach((function(t){null==t||(r=!1)})),r)return null;for(var a=[],i=0;i<t.length;++i)null==e[i]?a.push(by(t[i]).asType("bool")):e[i].rank<t[i].rank?a.push(Ey(e[i],-1)):a.push(e[i]);var o=wy(a,n.axis);return Vy(o,-1,!1)}))},n.getConfig=function(){var e={axis:this.axis},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(hD);function yD(t,e){for(;t<0;)t+=e;return t}gD.className="Concatenate",Fk(gD);var bD=function(t){function e(e){var n;return(n=t.call(this,e)||this).axes=e.axes,n.normalize=null!=e.normalize&&e.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}Gm(e,t);var n=e.prototype;return n.build=function(t){gv(Array.isArray(t)&&2===t.length&&Array.isArray(t[0])&&Array.isArray(t[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var e=t[0],n=t[1];if(e.length>3||n.length>3)throw new _N("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);if(e[r[0]]!==n[r[1]])throw new DN("Dimension incompatibility: "+e[r[0]]+" !== "+n[r[1]])},n.mergeFunction=function(t){if(2!==t.length)throw new DN("A `Dot` layer must be called on exactly 2 inputs, but received "+t.length+" input(s).");var e,n=t[0],r=t[1];return e=Array.isArray(this.axes)?this.axes.map((function(e,n){return yD(e,t[n].shape.length)})):[yD(this.axes,n.shape.length),yD(this.axes,r.shape.length)],this.normalize&&(n=qI(n,e[0]),r=qI(r,e[1])),function(t,e,n){if(t.shape.length>3||e.shape.length>3)throw new _N("batchDot is not implemented for tensors of 4D or higher rank yet");if(gv(t.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, but got "+t.shape.length})),gv(t.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, but got "+e.shape.length})),"number"==typeof n&&(n=[n,n]),"complex64"===t.dtype||"complex64"===e.dtype)throw new _N("batchDot is not implemented for complex64-type Tensors yet.");var r=t.shape.length,a=e.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return Nb((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else if(a>r){n=a-r;for(var c=[],l=0;l<n;++l)c.push(1);t=t.reshape(t.shape.concat(c))}else n=0;if(2===t.shape.length&&2===e.shape.length)o=i[0]===i[1]?t.mul(e).sum(i[0]):t.transpose([1,0]).mul(e).sum(i[1]);else{var h=i[0]!==t.shape.length-1,f=i[1]===e.shape.length-1;o=t.matMul(e,h,f)}if(n>0){for(var p,d=[],m=p=r>a?r+a-3:r-1;m<p+n;++m)d.push(m);o=o.squeeze(d)}return 1===o.shape.length&&(o=o.expandDims(1)),o}))}(n,r,e)},n.interpretAxes=function(t,e){return Array.isArray(this.axes)?this.axes:[yD(this.axes,t.length),yD(this.axes,e.length)]},n.computeOutputShape=function(t){gv(Array.isArray(t)&&2===t.length&&Array.isArray(t[0])&&Array.isArray(t[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var e=t[0].slice(),n=t[1].slice();if(e.length>3||n.length>3)throw new _N("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(e,n);e.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=e.concat(n);return 1===a.length&&a.push(1),a},n.computeMask=function(t,e){return null},n.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(hD);bD.className="Dot",Fk(bD);var xD=function(t){function e(e){var n;return(n=t.call(this,e)||this).supportsMasking=!0,n.stddev=e.stddev,n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){return t},n.getConfig=function(){var e=t.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,e),n},n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e);var r=yI(t);return UE((function(){return ME(r.shape,0,n.stddev).add(r)}),(function(){return r}),e.training||!1)}))},e}(AI);xD.className="GaussianNoise",Fk(xD);var wD=function(t){function e(e){var n;return(n=t.call(this,e)||this).supportsMasking=!0,n.rate=e.rate,n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){return t},n.getConfig=function(){var e=t.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,e),n},n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e);var r=yI(t);if(n.rate>0&&n.rate<1){return UE((function(){var t=Math.sqrt(n.rate/(1-n.rate));return r.mul(ME(r.shape,1,t))}),(function(){return r}),e.training||!1)}return r}))},e}(AI);wD.className="GaussianDropout",Fk(wD);var kD=function(t){function e(e){var n;return(n=t.call(this,e)||this).supportsMasking=!0,n.rate=e.rate,n.noiseShape=e.noiseShape,n}Gm(e,t);var n=e.prototype;return n._getNoiseShape=function(t){return this.noiseShape||yI(t).shape},n.computeOutputShape=function(t){return t},n.getConfig=function(){var e=t.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,e),n},n.call=function(t,e){var n=this;return Nb((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(t);return UE((function(){var e=yI(t),a=-1.7580993408473766,i=yS(GS(r),n.rate);i=EE(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate;return e.mul(i).add(i.add(-1).mul(a)).mul(o).add(s)}),(function(){return yI(t)}),e.training||!1)}return t}))},e}(AI);function SD(t,e,n,r,a,i){var o;if(void 0===i&&(i=.001),2===t.rank)o=jk(t,e,n,r,a,i);else if(3===t.rank)o=Gk(t,e,n,r,a,i);else{if(4!==t.rank)throw new _N("batchNormalization is not implemented for array of rank "+t.rank+" yet");o=qk(t,e,n,r,a,i)}return o}function CD(t,e,n,r,a){return void 0===a&&(a=.001),kv(r.slice().sort(),NE(0,t.rank-1))?function(t,e,n,r,a){return void 0===a&&(a=.001),Nb((function(){var i=Xy(t,r),o=i.mean,s=i.variance;return[SD(t,o,s,n,e,a),o,s]}))}(t,e,n,r,a):function(t,e,n,r,a){return void 0===a&&(a=.001),Nb((function(){for(var i,o=Xy(t,r),s=o.mean,u=o.variance,c=[],l=Zm(NE(0,t.rank));!(i=l()).done;){var h=i.value;-1!==r.indexOf(h)?c.push(1):c.push(t.shape[h])}var f=s.reshape(c),p=u.reshape(c),d=null==e?null:e.reshape(c),m=null==n?null:n.reshape(c);return[SD(t,f,p,m,d,a),s,u]}))}(t,e,n,r,a)}kD.className="AlphaDropout",Fk(kD);var RD=function(t){function e(e){var n;return null==e&&(e={}),(n=t.call(this,e)||this).supportsMasking=!0,n.axis=null==e.axis?-1:e.axis,n.momentum=null==e.momentum?.99:e.momentum,n.epsilon=null==e.epsilon?.001:e.epsilon,n.center=null==e.center||e.center,n.scale=null==e.scale||e.scale,n.betaInitializer=lI(e.betaInitializer||"zeros"),n.gammaInitializer=lI(e.gammaInitializer||"ones"),n.movingMeanInitializer=lI(e.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=lI(e.movingVarianceInitializer||"ones"),n.betaConstraint=oE(e.betaConstraint),n.gammaConstraint=oE(e.gammaConstraint),n.betaRegularizer=DT(e.betaRegularizer),n.gammaRegularizer=DT(e.gammaRegularizer),n}Gm(e,t);var n=e.prototype;return n.build=function(t){var e;t=bI(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new DN("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new CI({ndim:t.length,axes:(e={},e[n]=r,e)})];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(t,e){var n=this;return Nb((function(){var r=null!=e.training&&e.training,a=yI(t),i=a.shape,o=i.length,s=NE(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var c=FN(1,o);c[u]=i[u];var l=s.slice();l.sort();var h=!kv(l,NE(0,o).slice(0,o-1));if(!r)return function(){if(h){var t=n.movingMean.read().reshape(c),e=n.movingVariance.read().reshape(c),r=n.center?n.beta.read().reshape(c):null,i=n.scale?n.gamma.read().reshape(c):null;return SD(a,t,e,r,i,n.epsilon)}return SD(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var f=CD(a,n.gamma.read(),n.beta.read(),s,n.epsilon),p=f[0],d=f[1],m=f[2],v=function(t,e,n){Nb((function(){var r=1-n,a=t.read(),i=a.sub(e).mul(r);t.write(a.sub(i))}))};return v(n.movingMean,d,n.momentum),v(n.movingVariance,m,n.momentum),p}))},n.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:cI(this.betaInitializer),gammaInitializer:cI(this.gammaInitializer),movingMeanInitializer:cI(this.movingMeanInitializer),movingVarianceInitializer:cI(this.movingVarianceInitializer),betaRegularizer:AT(this.betaRegularizer),gammaRegularizer:AT(this.gammaRegularizer),betaConstraint:aE(this.betaConstraint),gammaConstraint:aE(this.gammaConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);RD.className="BatchNormalization",Fk(RD);var ND=function(t){function e(e){var n;if(null==e&&(e={}),(n=t.call(this,e)||this).axis=null==e.axis?-1:e.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=Zm(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==e.epsilon?.001:e.epsilon,n.center=null==e.center||e.center,n.scale=null==e.scale||e.scale,n.betaInitializer=lI(e.betaInitializer||"zeros"),n.gammaInitializer=lI(e.gammaInitializer||"ones"),n.betaRegularizer=DT(e.betaRegularizer),n.gammaRegularizer=DT(e.gammaRegularizer),n.supportsMasking=!0,n}Gm(e,t);var n=e.prototype;return n.build=function(t){var e=(t=bI(t)).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]+=e);for(var r,a=Zm(this.axis);!(r=a()).done;){var i=r.value;if(i<0||i>=e)throw new Error("Invalid axis: "+i)}if(this.axis.length!==qN(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var o=this.axis.map((function(e){return t[e]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0},n.call=function(t,e){var n=this,r=yI(t),a=r.shape,i=a.length;return Nb((function(){for(var t,e=Xy(r,n.axis,!0),o=e.mean,s=e.variance,u=FN(1,i),c=Zm(n.axis);!(t=c()).done;){var l=t.value;u[l]=a[l]}for(var h=function(t){return null!=t&&t.shape.length!==i&&n.axis!==[i-1]?t.reshape(u):t},f=h(n.gamma.read()),p=h(n.beta.read()),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=o.tile(d),s=s.tile(d),f=f.tile(m),p=p.tile(m),SD(r,o,s,p,f,n.epsilon)}))},n.getConfig=function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:cI(this.betaInitializer),gammaInitializer:cI(this.gammaInitializer),betaRegularizer:AT(this.betaRegularizer),gammaRegularizer:AT(this.gammaRegularizer)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);ND.className="LayerNormalization",Fk(ND);var ED=function(t){function e(e){var n;if(null==e&&(e={}),(n=t.call(this,e)||this).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof e.padding)n.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new DN("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+e.padding.length+" array.");var r,a;if("number"==typeof e.padding[0])r=[e.padding[0],e.padding[0]],a=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new DN("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+e.padding[0].length+" array.");if(r=e.padding[0],2!==e.padding[1].length)throw new DN("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+e.padding[1].length+" array.");a=e.padding[1]}n.padding=[r,a]}return n.inputSpec=[new CI({ndim:4})],n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){var e,n;return t=bI(t),"channelsFirst"===this.dataFormat?(e=null!=t[2]&&t[2]>=0?t[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[3]&&t[3]>=0?t[3]+this.padding[1][0]+this.padding[1][1]:null,[t[0],t[1],e,n]):(e=null!=t[1]&&t[1]>=0?t[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[2]&&t[2]>=0?t[2]+this.padding[1][0]+this.padding[1][1]:null,[t[0],e,n,t[3]])},n.call=function(t,e){var n=this;return Nb((function(){return e=yI(t),r=n.padding,a=n.dataFormat,Nb((function(){if(4!==e.rank)throw new DN("temporalPadding expects input tensor to be 4-D, but received a "+e.rank+"-D tensor.");if(null==r&&(r=[[1,1],[1,1]]),2!==r.length||2!==r[0].length||2!==r[1].length)throw new DN("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 DN("Unknown data format: "+a+". Supported data formats are 'channelsLast' and 'channelsFirst.");var t;return t="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],Xx(e,t)}));var e,r,a}))},n.getConfig=function(){var e={padding:this.padding,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI);function ID(t,e,n,r,a,i){return Nb((function(){var o;pE(a),mE(i),dE(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),t=VT(t,a);var s="same"===r?"same":"valid";return o="max"===i?lC(t,e,n,s):hC(t,e,n,s),"channelsFirst"===a&&(o=Bx(o,[0,3,1,2])),o}))}function AD(t,e,n,r,a,i){return Nb((function(){var o;pE(a),mE(i),dE(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),t=UT(t,a);var s="same"===r?"same":"valid";return o="max"===i?pC(t,e,n,s):dC(t,e,n,s),"channelsFirst"===a&&(o=Bx(o,[0,4,1,2,3])),o}))}ED.className="ZeroPadding2D",Fk(ED);var TD=function(t){function e(e){var n;if(null==e.poolSize&&(e.poolSize=2),n=t.call(this,e)||this,"number"==typeof e.poolSize)n.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!=typeof e.poolSize[0])throw new DN("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(e.poolSize));n.poolSize=e.poolSize}if(YN(n.poolSize,"poolSize"),null==e.strides)n.strides=n.poolSize;else if("number"==typeof e.strides)n.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!=typeof e.strides[0])throw new DN("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(e.strides));n.strides=e.strides}return YN(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,dE(n.padding),n.inputSpec=[new CI({ndim:3})],n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){var e=PT((t=bI(t))[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]},n.call=function(t,e){var n=this;return Nb((function(){n.invokeCallHook(t,e),t=IE(yI(t),2);var r=n.poolingFunction(yI(t),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Ay(r,[2])}))},n.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI),DD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return pE(a),dE(r),ID(t,e,n,r,a,"max")},e}(TD);DD.className="MaxPooling1D",Fk(DD);var _D=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return pE(a),dE(r),ID(t,e,n,r,a,"avg")},e}(TD);_D.className="AveragePooling1D",Fk(_D);var OD=function(t){function e(e){var n;if(null==e.poolSize&&(e.poolSize=[2,2]),(n=t.call(this,e)||this).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)n.strides=n.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new DN("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+e.strides.length+".");n.strides=e.strides}else n.strides=[e.strides,e.strides];return YN(n.poolSize,"poolSize"),YN(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,pE(n.dataFormat),dE(n.padding),n.inputSpec=[new CI({ndim:4})],n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){t=bI(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=PT(e,this.poolSize[0],this.padding,this.strides[0]),n=PT(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n]:[t[0],e,n,t[3]]},n.call=function(t,e){var n=this;return Nb((function(){return n.invokeCallHook(t,e),n.poolingFunction(yI(t),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI),FD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return pE(a),dE(r),ID(t,e,n,r,a,"max")},e}(OD);FD.className="MaxPooling2D",Fk(FD);var MD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return pE(a),dE(r),ID(t,e,n,r,a,"avg")},e}(OD);MD.className="AveragePooling2D",Fk(MD);var LD=function(t){function e(e){var n;if(null==e.poolSize&&(e.poolSize=[2,2,2]),(n=t.call(this,e)||this).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)n.strides=n.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new DN("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+e.strides.length+".");n.strides=e.strides}else n.strides=[e.strides,e.strides,e.strides];return YN(n.poolSize,"poolSize"),YN(n.strides,"strides"),n.padding=null==e.padding?"valid":e.padding,n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,pE(n.dataFormat),dE(n.padding),n.inputSpec=[new CI({ndim:5})],n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){t=bI(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[4]:t[3];return e=PT(e,this.poolSize[0],this.padding,this.strides[0]),n=PT(n,this.poolSize[1],this.padding,this.strides[1]),r=PT(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n,r]:[t[0],e,n,r,t[4]]},n.call=function(t,e){var n=this;return Nb((function(){return n.invokeCallHook(t,e),n.poolingFunction(yI(t),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI),zD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return pE(a),dE(r),AD(t,e,n,r,a,"max")},e}(LD);zD.className="MaxPooling3D",Fk(zD);var BD=function(t){function e(e){return t.call(this,e)||this}return Gm(e,t),e.prototype.poolingFunction=function(t,e,n,r,a){return pE(a),dE(r),AD(t,e,n,r,a,"avg")},e}(LD);BD.className="AveragePooling3D",Fk(BD);var PD=function(t){function e(e){var n;return(n=t.call(this,e)||this).inputSpec=[new CI({ndim:3})],n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){return[t[0],t[2]]},n.call=function(t,e){throw new _N},e}(AI),WD=function(t){function e(e){return t.call(this,e||{})||this}return Gm(e,t),e.prototype.call=function(t,e){return Nb((function(){var e=yI(t);return Hy(e,1)}))},e}(PD);WD.className="GlobalAveragePooling1D",Fk(WD);var VD=function(t){function e(e){return t.call(this,e||{})||this}return Gm(e,t),e.prototype.call=function(t,e){return Nb((function(){var e=yI(t);return kS(e,1)}))},e}(PD);VD.className="GlobalMaxPooling1D",Fk(VD);var UD=function(t){function e(e){var n;return(n=t.call(this,e)||this).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,pE(n.dataFormat),n.inputSpec=[new CI({ndim:4})],n}Gm(e,t);var n=e.prototype;return n.computeOutputShape=function(t){return t=t,"channelsLast"===this.dataFormat?[t[0],t[3]]:[t[0],t[1]]},n.call=function(t,e){throw new _N},n.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(AI),jD=function(t){function e(){return t.apply(this,arguments)||this}return Gm(e,t),e.prototype.call=function(t,e){var n=this;return Nb((function(){var e=yI(t);return"channelsLast"===n.dataFormat?Hy(e,[1,2]):Hy(e,[2,3])}))},e}(UD);jD.className="GlobalAveragePooling2D",Fk(jD);var GD=function(t){function e(){return t.apply(this,arguments)||this}return Gm(e,t),e.prototype.call=function(t,e){var n=this;return Nb((function(){var e=yI(t);return"channelsLast"===n.dataFormat?kS(e,[1,2]):kS(e,[2,3])}))},e}(UD);function qD(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new DN("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=t.slice(t.length-r,t.length),t=t.slice(0,t.length-r)),t.length>1&&(e=t.slice(1,t.length)),t=t[0]}function a(t){return null==t||Array.isArray(t)?t:[t]}return{inputs:t,initialState:e=a(e),constants:n=a(n)}}function HD(t,e,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),Nb((function(){var u=e.shape.length;if(u<3)throw new DN("Input should be at least 3D, but is "+u+"D.");var c=[1,0].concat(NE(2,u));if(e=Bx(e,c),null!=i)throw new _N("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=a.asType("bool").asType("float32")).rank===u-1&&(a=Ey(a,-1)),a=Bx(a,c)),r&&(e=rC(e,0),null!=a&&(a=rC(a,0)));var l,h,f=[],p=n,d=e.shape[0],m=Dy(e);null!=a&&(h=Dy(a));for(var v,g=function(e){var n=m[e],r=Nb((function(){return t(n,p)}));if(null==a)l=r[0],p=r[1];else{var i=Nb((function(){var t=h[e],n=by(t).sub(t);return{output:r[0].mul(t).add(p[0].mul(n)),newStates:p.map((function(e,a){return r[1][a].mul(t).add(e.mul(n))}))}}));l=i.output,p=i.newStates}s&&f.push(l)},y=0;y<d;++y)g(y);if(s){v=Ty(f,1)}return[l,v,p]}))}GD.className="GlobalMaxPooling2D",Fk(GD);var KD=function(t){function e(e){var n,r;if(n=t.call(this,e)||this,null==e.cell)throw new DN("cell property is missing for the constructor of RNN.");if(null==(r=Array.isArray(e.cell)?new e_({cells:e.cell}):e.cell).stateSize)throw new DN("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return n.cell=r,n.returnSequences=null!=e.returnSequences&&e.returnSequences,n.returnState=null!=e.returnState&&e.returnState,n.goBackwards=null!=e.goBackwards&&e.goBackwards,n._stateful=null!=e.stateful&&e.stateful,n.unroll=null!=e.unroll&&e.unroll,n.supportsMasking=!0,n.inputSpec=[new CI({ndim:3})],n.stateSpec=null,n.states_=null,n.numConstants=null,n.keptStates=[],n}Gm(e,t);var n=e.prototype;return n.getStates=function(){return null==this.states_?NE(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(t){return null})):this.states_},n.setStates=function(t){this.states_=t},n.computeOutputShape=function(t){vI(t)&&(t=t[0]),t=t;var e=this.cell.stateSize;Array.isArray(e)||(e=[e]);var n,r=e[0];if(n=this.returnSequences?[t[0],t[1],r]:[t[0],r],this.returnState){for(var a,i=[],o=Zm(e);!(a=o()).done;){var s=a.value;i.push([t[0],s])}return[n].concat(i)}return n},n.computeMask=function(t,e){var n=this;return Nb((function(){Array.isArray(e)&&(e=e[0]);var t=n.returnSequences?e:null;if(n.returnState){var r=n.states.map((function(t){return null}));return[t].concat(r)}return t}))},n.build=function(t){if(null!=this.numConstants)throw new _N("Constants support is not implemented in RNN yet.");vI(t)&&(t=t[0]),t=t;var e=this.stateful?t[0]:null,n=t[t.length-1];this.inputSpec[0]=new CI({shape:[e,null,n]});var r,a=[t[0]].concat(t.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!kv(this.stateSpec.map((function(t){return t.shape[t.shape.length-1]})),r))throw new DN("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(t){return new CI({shape:[null,t]})}));this.stateful&&this.resetStates()},n.resetStates=function(t,e){var n=this;void 0===e&&(e=!1),Nb((function(){if(!n.stateful)throw new AN("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new DN("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(t){return my([r,t])})):n.states_=[my([r,n.cell.stateSize])];else if(null==t)Eb(n.states_),null!=n.keptStates&&(Eb(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(t){return my([r,t])})):n.states_[0]=my([r,n.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==n.states_.length)throw new DN("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+t.length+" state value(s). Input received: "+t);!0===e?n.keptStates.push(n.states_.slice()):Eb(n.states_);for(var a=0;a<n.states_.length;++a){var i=t[a],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[a]:n.cell.stateSize,s=[r,o];if(!kv(i.shape,s))throw new DN("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(t){return Ib(t.clone())}))}))},n.apply=function(e,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=qD(e,r,a,this.numConstants);e=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,c=Zm(r);!(u=c()).done;){var l=u.value;this.stateSpec.push(new CI({shape:l.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof RI){var h=[e].concat(o),f=this.inputSpec.concat(s),p=this.inputSpec;this.inputSpec=f;var d=t.prototype.apply.call(this,h,n);return this.inputSpec=p,d}return t.prototype.apply.call(this,e,n)},n.call=function(t,e){var n=this;return Nb((function(){var r=null==e?null:e.mask,a=null==e?null:e.training,i=null==e?null:e.initialState;t=yI(t),null==i&&(i=n.stateful?n.states_:n.getInitialState(t));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new DN("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=HD((function(t,e){var r=n.cell.call([t].concat(e),s);return[r[0],r.slice(1)]}),t,i,n.goBackwards,r,null,n.unroll,n.returnSequences),c=u[0],l=u[1],h=u[2];n.stateful&&n.resetStates(h,a);var f=n.returnSequences?l:c;return n.returnState?[f].concat(h):f}))},n.getInitialState=function(t){var e=this;return Nb((function(){var n=my(t.shape);return n=IE(n=Yy(n,[1,2])),Array.isArray(e.cell.stateSize)?e.cell.stateSize.map((function(t){return t>1?FE(n,[1,t]):n})):e.cell.stateSize>1?[FE(n,[1,e.cell.stateSize])]:[n]}))},n.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)},n.getConfig=function(){var e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(e.numConstants=this.numConstants);var n=this.cell.getConfig();e.cell={className:this.cell.getClassName(),config:n};var r=t.prototype.getConfig.call(this);return Object.assign(e,r),e},e.fromConfig=function(t,e,n){void 0===n&&(n={});var r=GI(e.cell,n);return new t(Object.assign(e,{cell:r}))},jm(e,[{key:"states",get:function(){if(null==this.states_){for(var t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[],n=0;n<t;++n)e.push(null);return e}return this.states_},set:function(t){this.states_=t}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}}]),e}(AI);KD.className="RNN",Fk(KD);var XD=function(t){function e(){return t.apply(this,arguments)||this}return Gm(e,t),e}(AI),YD=function(t){function e(e){var n;return(n=t.call(this,e)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=e.units,YN(n.units,"units"),n.activation=CT(null==e.activation?n.DEFAULT_ACTIVATION:e.activation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=lI(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=lI(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=lI(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=DT(e.kernelRegularizer),n.recurrentRegularizer=DT(e.recurrentRegularizer),n.biasRegularizer=DT(e.biasRegularizer),n.kernelConstraint=oE(e.kernelConstraint),n.recurrentConstraint=oE(e.recurrentConstraint),n.biasConstraint=oE(e.biasConstraint),n.dropout=CE([1,RE([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=CE([1,RE([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Gm(e,t);var n=e.prototype;return n.build=function(t){t=bI(t),this.kernel=this.addWeight("kernel",[t[t.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(t,e){var n=this;return Nb((function(){if(2!==(t=t).length)throw new DN("SimpleRNNCell expects 2 input Tensors, got "+t.length+".");var r=t[1];t=t[0];var a,i=null!=e.training&&e.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=n_((function(){return by(t)}),n.dropout,i)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=n_((function(){return by(r)}),n.recurrentDropout,i));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=LE(null!=o?kx(t,o):t,n.kernel.read()),null!=n.bias&&(a=WE(a,n.bias.read())),null!=s&&(r=kx(r,s));var u=Db(a,LE(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))},n.getConfig=function(){var e={units:this.units,activation:kT(this.activation),useBias:this.useBias,kernelInitializer:cI(this.kernelInitializer),recurrentInitializer:cI(this.recurrentInitializer),biasInitializer:cI(this.biasInitializer),kernelRegularizer:AT(this.kernelRegularizer),recurrentRegularizer:AT(this.recurrentRegularizer),biasRegularizer:AT(this.biasRegularizer),activityRegularizer:AT(this.activityRegularizer),kernelConstraint:aE(this.kernelConstraint),recurrentConstraint:aE(this.recurrentConstraint),biasConstraint:aE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(XD);YD.className="SimpleRNNCell",Fk(YD);var JD=function(t){function e(e){return e.cell=new YD(e),t.call(this,e)||this}Gm(e,t);var n=e.prototype;return n.call=function(e,n){var r=this;return Nb((function(){null!=r.cell.dropoutMask&&(Eb(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Eb(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 t.prototype.call.call(r,e,{mask:a,training:i,initialState:o})}))},n.getConfig=function(){var e={units:this.units,activation:kT(this.activation),useBias:this.useBias,kernelInitializer:cI(this.kernelInitializer),recurrentInitializer:cI(this.recurrentInitializer),biasInitializer:cI(this.biasInitializer),kernelRegularizer:AT(this.kernelRegularizer),recurrentRegularizer:AT(this.recurrentRegularizer),biasRegularizer:AT(this.biasRegularizer),activityRegularizer:AT(this.activityRegularizer),kernelConstraint:aE(this.kernelConstraint),recurrentConstraint:aE(this.recurrentConstraint),biasConstraint:aE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return new t(e)},jm(e,[{key:"units",get:function(){return this.cell.units}},{key:"activation",get:function(){return this.cell.activation}},{key:"useBias",get:function(){return this.cell.useBias}},{key:"kernelInitializer",get:function(){return this.cell.kernelInitializer}},{key:"recurrentInitializer",get:function(){return this.cell.recurrentInitializer}},{key:"biasInitializer",get:function(){return this.cell.biasInitializer}},{key:"kernelRegularizer",get:function(){return this.cell.kernelRegularizer}},{key:"recurrentRegularizer",get:function(){return this.cell.recurrentRegularizer}},{key:"biasRegularizer",get:function(){return this.cell.biasRegularizer}},{key:"kernelConstraint",get:function(){return this.cell.kernelConstraint}},{key:"recurrentConstraint",get:function(){return this.cell.recurrentConstraint}},{key:"biasConstraint",get:function(){return this.cell.biasConstraint}},{key:"dropout",get:function(){return this.cell.dropout}},{key:"recurrentDropout",get:function(){return this.cell.recurrentDropout}}]),e}(KD);JD.className="SimpleRNN",Fk(JD);var $D=function(t){function e(e){var n;return(n=t.call(this,e)||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=e.units,YN(n.units,"units"),n.activation=CT(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=CT(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=lI(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=lI(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=lI(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=DT(e.kernelRegularizer),n.recurrentRegularizer=DT(e.recurrentRegularizer),n.biasRegularizer=DT(e.biasRegularizer),n.kernelConstraint=oE(e.kernelConstraint),n.recurrentConstraint=oE(e.recurrentConstraint),n.biasConstraint=oE(e.biasConstraint),n.dropout=CE([1,RE([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=CE([1,RE([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}Gm(e,t);var n=e.prototype;return n.build=function(t){var e=(t=bI(t))[t.length-1];this.kernel=this.addWeight("kernel",[e,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(t,e){var n=this;return Nb((function(){if(2!==(t=t).length)throw new DN("GRUCell expects 2 input Tensors (inputs, h, c), got "+t.length+".");var r=null!=e.training&&e.training,a=t[1];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=n_((function(){return by(t)}),n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=n_((function(){return by(a)}),n.recurrentDropout,r,3));var i,o,s,u=n.dropoutMask,c=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=kx(t,u[0]));var l=LE(t,n.kernel.read());n.useBias&&(l=WE(l,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=kx(a,c[0]));var h=n.recurrentKernel.read(),f=Zy(h,[2*n.units,n.units],h.rank-1),p=f[0],d=f[1],m=LE(a,p),v=Zy(l,3,l.rank-1),g=v[0],y=v[1],b=v[2],x=Zy(m,2,m.rank-1),w=x[0],k=x[1];i=n.recurrentActivation.apply(Db(g,w)),o=n.recurrentActivation.apply(Db(y,k));var S=LE(kx(o,a),d);s=n.activation.apply(Db(b,S));var C=Db(kx(i,a),kx(Db(1,Jb(i)),s));return[C,C]}))},n.getConfig=function(){var e={units:this.units,activation:kT(this.activation),recurrentActivation:kT(this.recurrentActivation),useBias:this.useBias,kernelInitializer:cI(this.kernelInitializer),recurrentInitializer:cI(this.recurrentInitializer),biasInitializer:cI(this.biasInitializer),kernelRegularizer:AT(this.kernelRegularizer),recurrentRegularizer:AT(this.recurrentRegularizer),biasRegularizer:AT(this.biasRegularizer),activityRegularizer:AT(this.activityRegularizer),kernelConstraint:aE(this.kernelConstraint),recurrentConstraint:aE(this.recurrentConstraint),biasConstraint:aE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(XD);$D.className="GRUCell",Fk($D);var ZD=function(t){function e(e){return 0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new $D(e),t.call(this,e)||this}Gm(e,t);var n=e.prototype;return n.call=function(e,n){var r=this;return Nb((function(){null!=r.cell.dropoutMask&&(Eb(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Eb(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 t.prototype.call.call(r,e,{mask:a,training:i,initialState:o})}))},n.getConfig=function(){var e={units:this.units,activation:kT(this.activation),recurrentActivation:kT(this.recurrentActivation),useBias:this.useBias,kernelInitializer:cI(this.kernelInitializer),recurrentInitializer:cI(this.recurrentInitializer),biasInitializer:cI(this.biasInitializer),kernelRegularizer:AT(this.kernelRegularizer),recurrentRegularizer:AT(this.recurrentRegularizer),biasRegularizer:AT(this.biasRegularizer),activityRegularizer:AT(this.activityRegularizer),kernelConstraint:aE(this.kernelConstraint),recurrentConstraint:aE(this.recurrentConstraint),biasConstraint:aE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},jm(e,[{key:"units",get:function(){return this.cell.units}},{key:"activation",get:function(){return this.cell.activation}},{key:"recurrentActivation",get:function(){return this.cell.recurrentActivation}},{key:"useBias",get:function(){return this.cell.useBias}},{key:"kernelInitializer",get:function(){return this.cell.kernelInitializer}},{key:"recurrentInitializer",get:function(){return this.cell.recurrentInitializer}},{key:"biasInitializer",get:function(){return this.cell.biasInitializer}},{key:"kernelRegularizer",get:function(){return this.cell.kernelRegularizer}},{key:"recurrentRegularizer",get:function(){return this.cell.recurrentRegularizer}},{key:"biasRegularizer",get:function(){return this.cell.biasRegularizer}},{key:"kernelConstraint",get:function(){return this.cell.kernelConstraint}},{key:"recurrentConstraint",get:function(){return this.cell.recurrentConstraint}},{key:"biasConstraint",get:function(){return this.cell.biasConstraint}},{key:"dropout",get:function(){return this.cell.dropout}},{key:"recurrentDropout",get:function(){return this.cell.recurrentDropout}},{key:"implementation",get:function(){return this.cell.implementation}}]),e}(KD);ZD.className="GRU",Fk(ZD);var QD=function(t){function e(e){var n;return(n=t.call(this,e)||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=e.units,YN(n.units,"units"),n.activation=CT(void 0===e.activation?n.DEFAULT_ACTIVATION:e.activation),n.recurrentActivation=CT(void 0===e.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),n.useBias=null==e.useBias||e.useBias,n.kernelInitializer=lI(e.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=lI(e.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=lI(e.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=e.unitForgetBias,n.kernelRegularizer=DT(e.kernelRegularizer),n.recurrentRegularizer=DT(e.recurrentRegularizer),n.biasRegularizer=DT(e.biasRegularizer),n.kernelConstraint=oE(e.kernelConstraint),n.recurrentConstraint=oE(e.recurrentConstraint),n.biasConstraint=oE(e.biasConstraint),n.dropout=CE([1,RE([0,null==e.dropout?0:e.dropout])]),n.recurrentDropout=CE([1,RE([0,null==e.recurrentDropout?0:e.recurrentDropout])]),n.implementation=e.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}Gm(e,t);var n=e.prototype;return n.build=function(t){var e,n,r=(t=bI(t))[t.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((e=function(t){function e(){return t.apply(this,arguments)||this}return Gm(e,t),e.prototype.apply=function(t,e){var n=a.apply([i]),r=(new KE).apply([i]),o=a.apply([2*i]);return OE(OE(n,r),o)},e}(qE)).className="CustomInit",e)}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(t,e){var n=this;return Nb((function(){var r=null!=e.training&&e.training;if(3!==(t=t).length)throw new DN("LSTMCell expects 3 input Tensors (inputs, h, c), got "+t.length+".");var a=t[1],i=t[2];t=t[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=n_((function(){return by(t)}),n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=n_((function(){return by(a)}),n.recurrentDropout,r,4));var o,s,u,c,l=n.dropoutMask,h=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(t=kx(t,l[0]));var f=LE(t,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=kx(a,h[0])),f=Db(f,LE(a,n.recurrentKernel.read())),n.useBias&&(f=WE(f,n.bias.read()));var p=Zy(f,4,f.rank-1),d=p[0],m=p[1],v=p[2],g=p[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=Db(kx(s,i),kx(o,n.activation.apply(v))),c=n.recurrentActivation.apply(g);var y=kx(c,n.activation.apply(u));return[y,y,u]}))},n.getConfig=function(){var e={units:this.units,activation:kT(this.activation),recurrentActivation:kT(this.recurrentActivation),useBias:this.useBias,kernelInitializer:cI(this.kernelInitializer),recurrentInitializer:cI(this.recurrentInitializer),biasInitializer:cI(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:AT(this.kernelRegularizer),recurrentRegularizer:AT(this.recurrentRegularizer),biasRegularizer:AT(this.biasRegularizer),activityRegularizer:AT(this.activityRegularizer),kernelConstraint:aE(this.kernelConstraint),recurrentConstraint:aE(this.recurrentConstraint),biasConstraint:aE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(XD);QD.className="LSTMCell",Fk(QD);var t_=function(t){function e(e){return 0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new QD(e),t.call(this,e)||this}Gm(e,t);var n=e.prototype;return n.call=function(e,n){var r=this;return Nb((function(){null!=r.cell.dropoutMask&&(Eb(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Eb(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 t.prototype.call.call(r,e,{mask:a,training:i,initialState:o})}))},n.getConfig=function(){var e={units:this.units,activation:kT(this.activation),recurrentActivation:kT(this.recurrentActivation),useBias:this.useBias,kernelInitializer:cI(this.kernelInitializer),recurrentInitializer:cI(this.recurrentInitializer),biasInitializer:cI(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:AT(this.kernelRegularizer),recurrentRegularizer:AT(this.recurrentRegularizer),biasRegularizer:AT(this.biasRegularizer),activityRegularizer:AT(this.activityRegularizer),kernelConstraint:aE(this.kernelConstraint),recurrentConstraint:aE(this.recurrentConstraint),biasConstraint:aE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=t.prototype.getConfig.call(this);return delete n.cell,Object.assign(e,n),e},e.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},jm(e,[{key:"units",get:function(){return this.cell.units}},{key:"activation",get:function(){return this.cell.activation}},{key:"recurrentActivation",get:function(){return this.cell.recurrentActivation}},{key:"useBias",get:function(){return this.cell.useBias}},{key:"kernelInitializer",get:function(){return this.cell.kernelInitializer}},{key:"recurrentInitializer",get:function(){return this.cell.recurrentInitializer}},{key:"biasInitializer",get:function(){return this.cell.biasInitializer}},{key:"unitForgetBias",get:function(){return this.cell.unitForgetBias}},{key:"kernelRegularizer",get:function(){return this.cell.kernelRegularizer}},{key:"recurrentRegularizer",get:function(){return this.cell.recurrentRegularizer}},{key:"biasRegularizer",get:function(){return this.cell.biasRegularizer}},{key:"kernelConstraint",get:function(){return this.cell.kernelConstraint}},{key:"recurrentConstraint",get:function(){return this.cell.recurrentConstraint}},{key:"biasConstraint",get:function(){return this.cell.biasConstraint}},{key:"dropout",get:function(){return this.cell.dropout}},{key:"recurrentDropout",get:function(){return this.cell.recurrentDropout}},{key:"implementation",get:function(){return this.cell.implementation}}]),e}(KD);t_.className="LSTM",Fk(t_);var e_=function(t){function e(e){var n;return(n=t.call(this,e)||this).cells=e.cells,n}Gm(e,t);var n=e.prototype;return n.call=function(t,e){var n=this;return Nb((function(){for(var r,a=(t=t).slice(1),i=[],o=Zm(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,c=[],l=0;l<n.cells.length;++l){var h=n.cells[l];a=i[l],u=0===l?[t[0]].concat(a):[u[0]].concat(a),u=h.call(u,e),c.push(u.slice(1))}a=[];for(var f,p=Zm(c.slice().reverse());!(f=p()).done;){var d,m=f.value;(d=a).push.apply(d,m)}return[u[0]].concat(a)}))},n.build=function(t){var e;vI(t)&&(t=t[0]),t=t,this.cells.forEach((function(n,r){gE("RNNCell_"+r,(function(){n.build(t),e=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,t=[t[0],e]}))})),this.built=!0},n.getConfig=function(){for(var e,n=[],r=Zm(this.cells);!(e=r()).done;){var a=e.value;n.push({className:a.getClassName(),config:a.getConfig()})}var i={cells:n},o=t.prototype.getConfig.call(this);return Object.assign(i,o),i},e.fromConfig=function(t,e,n){void 0===n&&(n={});for(var r,a=[],i=Zm(e.cells);!(r=i()).done;){var o=r.value;a.push(GI(o,n))}return new t({cells:a})},n.getWeights=function(){for(var t,e=[],n=Zm(this.cells);!(t=n()).done;){var r=t.value;e.push.apply(e,r.weights)}return kI(e)},n.setWeights=function(t){for(var e,n=[],r=Zm(this.cells);!(e=r()).done;)for(var a=e.value,i=a.weights.length,o=t.splice(i),s=0;s<a.weights.length;++s)n.push([a.weights[s],o[s]]);SI(n)},jm(e,[{key:"stateSize",get:function(){for(var t,e=[],n=Zm(this.cells.slice().reverse());!(t=n()).done;){var r=t.value;Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];for(var t,e=[],n=Zm(this.cells);!(t=n()).done;){var r=t.value;e.push.apply(e,r.trainableWeights)}return e}},{key:"nonTrainableWeights",get:function(){for(var t,e=[],n=Zm(this.cells);!(t=n()).done;){var r=t.value;e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=Zm(this.cells);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(e)}return e}}]),e}(XD);function n_(t,e,n,r){function a(){return VE(t(),e)}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var i=[],o=0;o<r;o++)i.push(UE(a,t,n));return i.map((function(t){return Ib(t.clone())}))}return Ib(UE(a,t,n).clone())}e_.className="StackedRNNCells",Fk(e_);var r_=function(t){function e(e){var n;return(n=t.call(this,e)||this).layer=e.layer,n}Gm(e,t);var n=e.prototype;return n.build=function(t){this.built=!0},n.getWeights=function(){return this.layer.getWeights()},n.setWeights=function(t){this.layer.setWeights(t)},n.getConfig=function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},n.setFastWeightInitDuringBuild=function(e){t.prototype.setFastWeightInitDuringBuild.call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)},e.fromConfig=function(t,e,n){void 0===n&&(n={});var r=GI(e.layer,n);delete e.layer;var a={layer:r};return Object.assign(a,e),new t(a)},jm(e,[{key:"trainable",get:function(){return null!=this.layer&&this.layer.trainable},set:function(t){null!=this.layer&&(this.layer.trainable=t)}},{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}}]),e}(AI),a_=function(t){function e(e){var n;return(n=t.call(this,e)||this).supportsMasking=!0,n}Gm(e,t);var n=e.prototype;return n.build=function(e){if((e=bI(e)).length<3)throw new DN("TimeDistributed layer expects an input shape >= 3D, but received input shape "+JSON.stringify(e));this.inputSpec=[{shape:e}];var n=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),t.prototype.build.call(this,e)},n.computeOutputShape=function(t){var e=[(t=bI(t))[0]].concat(t.slice(2)),n=this.layer.computeOutputShape(e),r=t[1];return[n[0],r].concat(n.slice(1))},n.call=function(t,e){var n=this;return Nb((function(){return HD((function(t,r){return[yI(n.layer.call(t,e)),[]]}),t=yI(t),[],!1,null,null,!1,!0)[1]}))},e}(r_);a_.className="TimeDistributed",Fk(a_);var i_=function(t){function e(e){var n;n=t.call(this,e)||this;var r=e.layer.getConfig(),a={};a.className=e.layer.getClassName(),a.config=r,n.forwardLayer=GI(a),r.goBackwards=!0!==r.goBackwards;var i,o={};if(o.className=e.layer.getClassName(),o.config=r,n.backwardLayer=GI(o),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,i=n.mergeMode,KN(hE,"BidirectionalMergeMode",i),e.weights)throw new _N("weights support is not implemented for Bidirectional layer yet.");return n._stateful=e.layer.stateful,n.returnSequences=e.layer.returnSequences,n.returnState=e.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=e.layer.inputSpec,n.numConstants=null,n}Gm(e,t);var n=e.prototype;return n.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},n.setWeights=function(t){var e=t.length,n=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,n)),this.backwardLayer.setWeights(t.slice(n))},n.computeOutputShape=function(t){var e,n,r,a=this.forwardLayer.computeOutputShape(t);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),a=a,this.returnState?(r=a.slice(1),e=a[0]):e=a[0],e=e,"concat"===this.mergeMode?(e[e.length-1]*=2,n=[e]):n=null==this.mergeMode?[e,e.slice()]:[e],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[e].concat(r).concat(r.slice()):zN(n)},n.apply=function(e,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=qD(e,r,a,this.numConstants);if(e=i.inputs,r=i.initialState,a=i.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==a)return t.prototype.apply.call(this,e,n);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new DN("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 c=r.map((function(t){return new CI({shape:t.shape})}));this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),s.push.apply(s,c)}if(null!=a)throw new _N("Support for constants in Bidirectional layers is not implemented yet.");for(var l=o[0]instanceof RI,h=0,f=o;h<f.length;h++){if(f[h]instanceof RI!==l)throw new DN("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(l){var p=[e].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var v=t.prototype.apply.call(this,p,n);return this.inputSpec=m,v}return t.prototype.apply.call(this,e,n)},n.call=function(t,e){var n=this;return Nb((function(){var r,a,i,o,s=e.initialState;if(null==s)r=n.forwardLayer.call(t,e),a=n.backwardLayer.call(t,e);else{var u=s.slice(0,s.length/2),c=s.slice(s.length/2);r=n.forwardLayer.call(t,Object.assign(e,{initialState:u})),a=n.backwardLayer.call(t,Object.assign(e,{initialState:c}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=rC(a,1)),"concat"===n.mergeMode?o=_E([r,a]):"sum"===n.mergeMode?o=Db(r,a):"ave"===n.mergeMode?o=kx(.5,Db(r,a)):"mul"===n.mergeMode?o=kx(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))},n.resetStates=function(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},n.build=function(t){var e=this;gE(this.forwardLayer.name,(function(){e.forwardLayer.build(t)})),gE(this.backwardLayer.name,(function(){e.backwardLayer.build(t)})),this.built=!0},n.computeMask=function(t,e){var n;if(Array.isArray(e)&&(e=e[0]),n=this.returnSequences?null==this.mergeMode?[e,e]:e:null==this.mergeMode?[null,null]:null,this.returnState){var 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DepthwiseConv2d with FusedBatchNorm is not supported.");var y=N_("strides",t,e,n),b=N_("pad",t,e,n),x=N_("dataFormat",t,e,n).toUpperCase(),w=N_("dilations",t,e,n),k=N_("args",t,e,n),S=k[0],C=k[1];return[("_FusedConv2D"===t.op?WR:VR)({x:N_("x",t,e,n),filter:N_("filter",t,e,n),strides:[y[1],y[2]],pad:b,dataFormat:x,dilations:[w[1],w[2]],bias:S,activation:p,preluActivationWeights:C})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=N_("outputShape",t,e,n),N=N_("strides",t,e,n),E=N_("pad",t,e,n);return[Qk(N_("x",t,e,n),N_("filter",t,e,n),R,[N[1],N[2]],E)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var I=N_("strides",t,e,n),A=N_("pad",t,e,n),T=N_("dilations",t,e,n),D=N_("dataFormat",t,e,n).toUpperCase();return[rS(N_("input",t,e,n),N_("filter",t,e,n),[I[1],I[2]],A,D,[T[1],T[2]])];case"Conv3D":var _=N_("strides",t,e,n),O=N_("pad",t,e,n),F=N_("dataFormat",t,e,n).toUpperCase(),M=N_("dilations",t,e,n);return[tS(N_("x",t,e,n),N_("filter",t,e,n),[_[1],_[2],_[3]],O,F,[M[1],M[2],M[3]])];case"AvgPool":var L=N_("strides",t,e,n),z=N_("pad",t,e,n),B=N_("kernelSize",t,e,n);return[hC(N_("x",t,e,n),[B[1],B[2]],[L[1],L[2]],z)];case"MaxPool":var P=N_("strides",t,e,n),W=N_("pad",t,e,n),V=N_("kernelSize",t,e,n);return[lC(N_("x",t,e,n),[V[1],V[2]],[P[1],P[2]],W)];case"MaxPoolWithArgmax":var U=N_("strides",t,e,n),j=N_("pad",t,e,n),G=N_("kernelSize",t,e,n),q=N_("includeBatchInIndex",t,e,n),H=mC(N_("x",t,e,n),[G[1],G[2]],[U[1],U[2]],j,q);return[H.result,H.indexes];case"AvgPool3D":var K=N_("strides",t,e,n),X=N_("pad",t,e,n),Y=N_("kernelSize",t,e,n);return[dC(N_("x",t,e,n),[Y[1],Y[2],Y[3]],[K[1],K[2],K[3]],X)];case"MaxPool3D":var J=N_("strides",t,e,n),$=N_("pad",t,e,n),Z=N_("kernelSize",t,e,n);return[pC(N_("x",t,e,n),[Z[1],Z[2],Z[3]],[J[1],J[2],J[3]],$)];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"creation":return Nb((function(){return function(t,e,n){switch(t.op){case"Fill":var r=N_("shape",t,e,n),a=N_("dtype",t,e,n);return[vy(r,N_("value",t,e,n),a)];case"LinSpace":return[gy(N_("start",t,e,n),N_("stop",t,e,n),N_("num",t,e,n))];case"Multinomial":var i=N_("logits",t,e,n),o=N_("numSamples",t,e,n),s=N_("seed",t,e,n);return[SS(i,o,s)];case"OneHot":var u=N_("indices",t,e,n),c=N_("depth",t,e,n),l=N_("onValue",t,e,n),h=N_("offValue",t,e,n);return[xk(u,c,l,h)];case"Ones":return[dy(N_("shape",t,e,n),N_("dtype",t,e,n))];case"OnesLike":return[by(N_("x",t,e,n))];case"RandomUniform":return[GS(N_("shape",t,e,n),N_("minval",t,e,n),N_("maxval",t,e,n),N_("dtype",t,e,n))];case"Range":return[yy(N_("start",t,e,n),N_("stop",t,e,n),N_("step",t,e,n),N_("dtype",t,e,n))];case"TruncatedNormal":var f=N_("shape",t,e,n),p=N_("mean",t,e,n),d=N_("stdDev",t,e,n),m=N_("seed",t,e,n);return[KS(f,p,d,N_("dtype",t,e,n),m)];case"Zeros":return[my(N_("shape",t,e,n),N_("dtype",t,e,n))];case"ZerosLike":return[xy(N_("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"dynamic":return hO(t,e,n);case"evaluation":return Nb((function(){return function(t,e,n){switch(t.op){case"TopKV2":var r=N_("x",t,e,n),a=N_("k",t,e,n),i=N_("sorted",t,e,n),o=LC(r,a,i);return[o.values,o.indices];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"image":return Nb((function(){return function(t,e,n){switch(t.op){case"ResizeBilinear":var r=N_("images",t,e,n),a=N_("size",t,e,n),i=N_("alignCorners",t,e,n);return[IR(r,[a[0],a[1]],i)];case"ResizeNearestNeighbor":var o=N_("images",t,e,n),s=N_("size",t,e,n),u=N_("alignCorners",t,e,n);return[AR(o,[s[0],s[1]],u)];case"CropAndResize":var c=N_("image",t,e,n),l=N_("boxes",t,e,n),h=N_("boxInd",t,e,n),f=N_("cropSize",t,e,n),p=N_("method",t,e,n),d=N_("extrapolationValue",t,e,n);return[OR(c,l,h,f,p,d)];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"graph":return Nb((function(){return function(t,e,n){switch(t.op){case"Const":return e[t.name];case"PlaceholderWithDefault":var r=N_("default",t,e,n);return[E_(t.name,e,n)||r];case"Placeholder":return[E_(t.name,e,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[N_("x",t,e,n).clone()];case"IdentityN":return N_("x",t,e,n).map((function(t){return t.clone()}));case"Snapshot":return[N_("x",t,e,n).clone()];case"Shape":return[sy(N_("x",t,e,n).shape,"int32")];case"ShapeN":return N_("x",t,e,n).map((function(t){return sy(t.shape)}));case"Size":return[oy(N_("x",t,e,n).size,"int32")];case"Rank":return[oy(N_("x",t,e,n).rank,"int32")];case"NoOp":return[oy(1)];case"Print":var a=N_("x",t,e,n),i=N_("data",t,e,n),o=N_("message",t,e,n),s=N_("summarize",t,e,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<i.length;u++)console.log(Array.prototype.slice.call(i[u].dataSync()).slice(0,s));return[a];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"logical":return Nb((function(){return function(t,e,n){switch(t.op){case"Equal":return[mS(N_("a",t,e,n),N_("b",t,e,n))];case"NotEqual":return[CS(N_("a",t,e,n),N_("b",t,e,n))];case"Greater":return[gS(N_("a",t,e,n),N_("b",t,e,n))];case"GreaterEqual":return[yS(N_("a",t,e,n),N_("b",t,e,n))];case"Less":return[bS(N_("a",t,e,n),N_("b",t,e,n))];case"LessEqual":return[xS(N_("a",t,e,n),N_("b",t,e,n))];case"LogicalAnd":return[sS(N_("a",t,e,n),N_("b",t,e,n))];case"LogicalNot":return[uS(N_("a",t,e,n))];case"LogicalOr":return[cS(N_("a",t,e,n),N_("b",t,e,n))];case"Select":case"SelectV2":return[hS(N_("condition",t,e,n),N_("a",t,e,n),N_("b",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"matrices":return Nb((function(){return function(t,e,n){switch(t.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[Oy(N_("a",t,e,n),N_("b",t,e,n),N_("transposeA",t,e,n),N_("transposeB",t,e,n))];case"Transpose":return[Bx(N_("x",t,e,n),N_("perm",t,e,n))];case"_FusedMatMul":var r=N_("fusedOps",t,e,n),a=r[0],i=r[1],o="biasadd"===a,s="prelu"===i,u=N_("numArgs",t,e,n);if(o){if(s&&2!==u)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!s&&1!==u)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var c=N_("args",t,e,n),l=c[0],h=c[1];return[PR({a:N_("a",t,e,n),b:N_("b",t,e,n),transposeA:N_("transposeA",t,e,n),transposeB:N_("transposeB",t,e,n),bias:l,activation:i,preluActivationWeights:h})];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"normalization":return Nb((function(){return function(t,e,n){switch(t.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[Uk(N_("x",t,e,n),N_("mean",t,e,n),N_("variance",t,e,n),N_("offset",t,e,n),N_("scale",t,e,n),N_("epsilon",t,e,n))];case"LRN":return[wS(N_("x",t,e,n),N_("radius",t,e,n),N_("bias",t,e,n),N_("alpha",t,e,n),N_("beta",t,e,n))];case"Softmax":return[AC(N_("x",t,e,n))];case"LogSoftmax":return[TC(N_("x",t,e,n))];case"SparseToDense":return[jC(N_("sparseIndices",t,e,n),N_("outputShape",t,e,n),N_("sparseValues",t,e,n),N_("defaultValue",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"reduction":return Nb((function(){return function(t,e,n){switch(t.op){case"Max":var r=N_("axis",t,e,n),a=N_("keepDims",t,e,n);return[kS(N_("x",t,e,n),r,a)];case"Mean":var i=N_("axis",t,e,n),o=N_("keepDims",t,e,n);return[Hy(N_("x",t,e,n),i,o)];case"Min":var s=N_("axis",t,e,n),u=N_("keepDims",t,e,n);return[Ky(N_("x",t,e,n),s,u)];case"Sum":var c=N_("axis",t,e,n),l=N_("keepDims",t,e,n);return[Yy(N_("x",t,e,n),c,l)];case"All":var h=N_("axis",t,e,n),f=N_("keepDims",t,e,n);return[Vy(N_("x",t,e,n),h,f)];case"Any":var p=N_("axis",t,e,n),d=N_("keepDims",t,e,n);return[Uy(N_("x",t,e,n),p,d)];case"ArgMax":var m=N_("axis",t,e,n);return[jy(N_("x",t,e,n),m)];case"ArgMin":var v=N_("axis",t,e,n);return[Gy(N_("x",t,e,n),v)];case"Prod":var g=N_("axis",t,e,n),y=N_("keepDims",t,e,n);return[Jy(N_("x",t,e,n),g,y)];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"slice_join":return Nb((function(){return function(t,e,n){switch(t.op){case"ConcatV2":case"Concat":var r=N_("n",t,e,n),a=N_("axis",t,e,n),i=N_("tensors",t,e,n);return i=i.slice(0,r),[wy(i,a)];case"GatherV2":case"Gather":var o=N_("axis",t,e,n),s=N_("x",t,e,n),u=N_("indices",t,e,n);return[QS(s,u.asType("int32"),o)];case"ReverseV2":case"Reverse":var c=N_("axis",t,e,n),l=N_("x",t,e,n);return[rC(l,c)];case"Slice":var h=N_("begin",t,e,n),f=N_("size",t,e,n);return[rw(N_("x",t,e,n),h,f)];case"StridedSlice":var p=N_("begin",t,e,n),d=N_("end",t,e,n),m=N_("strides",t,e,n),v=N_("beginMask",t,e,n),g=N_("endMask",t,e,n),y=N_("ellipsisMask",t,e,n),b=N_("newAxisMask",t,e,n),x=N_("shrinkAxisMask",t,e,n),w=N_("x",t,e,n);if(1===p.length&&w.shape.length>1)for(var k=1;k<w.shape.length;k++)p.push(0),d.push(w.shape[k]),m.push(m[0]);return[MC(w,p,d,m,v,g,y,b,x)];case"Pack":return Nb((function(){var r=N_("axis",t,e,n),a=N_("tensors",t,e,n),i=a[0].shape,o=a[0].squeeze().shape,s=a.map((function(t){var e=kv(t.shape,i);if(!e&&!kv(t.squeeze().shape,o))throw new Error("the input tensors shape does not match");return e?t:t.reshape(i)}));return[Ty(s,r)]}));case"Unpack":return Nb((function(){var r=N_("axis",t,e,n),a=N_("tensor",t,e,n);return Dy(a,r)}));case"Tile":var S=N_("reps",t,e,n);return[_x(N_("x",t,e,n),S)];case"Split":case"SplitV":var C=N_("axis",t,e,n),R=N_("numOrSizeSplits",t,e,n);return Zy(N_("x",t,e,n),R,C);case"ScatterNd":var N=N_("indices",t,e,n),E=N_("values",t,e,n),I=N_("shape",t,e,n);return[zC(N,E,I)];case"GatherNd":var A=N_("x",t,e,n),T=N_("indices",t,e,n);return[GC(A,T)];case"SparseToDense":var D=N_("sparseIndices",t,e,n),_=N_("outputShape",t,e,n),O=N_("sparseValues",t,e,n),F=N_("defaultValue",t,e,n);return[jC(D,O,_,O.dtype===F.dtype?F:F.asType(O.dtype))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"spectral":return Nb((function(){return function(t,e,n){switch(t.op){case"FFT":return[BC(N_("x",t,e,n))];case"IFFT":return[PC(N_("x",t,e,n))];case"RFFT":return[WC(N_("x",t,e,n))];case"IRFFT":return[VC(N_("x",t,e,n))];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"transformation":return Nb((function(){return function(t,e,n){switch(t.op){case"Cast":return[Ry(N_("x",t,e,n),N_("dtype",t,e,n))];case"ExpandDims":var r=N_("axis",t,e,n);return[Ey(N_("x",t,e,n),r)];case"Squeeze":var a=N_("axis",t,e,n);return[Ay(N_("x",t,e,n),a)];case"Reshape":return[Iy(N_("x",t,e,n),N_("shape",t,e,n))];case"PadV2":case"Pad":return[Xx(N_("x",t,e,n),D_(N_("padding",t,e,n),2),N_("constantValue",t,e,n))];case"SpaceToBatchND":var i=N_("blockShape",t,e,n),o=D_(N_("paddings",t,e,n),2);return[My(N_("x",t,e,n),i,o)];case"BatchToSpaceND":var s=N_("blockShape",t,e,n),u=D_(N_("crops",t,e,n),2);return[Ux(N_("x",t,e,n),s,u)];case"DepthToSpace":var c=N_("blockSize",t,e,n),l=N_("dataFormat",t,e,n).toUpperCase();return[nS(N_("x",t,e,n),c,l)];default:throw TypeError("Node type "+t.op+" is not implemented")}}(t,e,n)}));case"custom":var r=R_(t.op);if(r&&r.customExecutor)return r.customExecutor(new uO(t,e,n));throw TypeError("Custom op "+t.op+" is not registered.");default:throw TypeError("Unknown op '"+t.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(t,e,n);return r instanceof Promise?r.then((function(t){return[].concat(t)})):[].concat(r)}var pO=function(){function t(t,e){this.weightMap=t,this.tensorArrayMap=e,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}var e=t.prototype;return e.newFrame=function(t,e){return{id:t,frameName:e,iterationId:0}},e.generateCurrentContextIds=function(){for(var t=[],e=0;e<this.contexts.length-1;e++){var n=this.contexts.slice(0,this.contexts.length-e);t.push(this.contextIdforContexts(n))}t.push(""),this._currentContextIds=t},e.contextIdforContexts=function(t){return t?t.map((function(t){return 0===t.id&&0===t.iterationId?"":t.frameName+"-"+t.iterationId})).join("/"):""},e.enterFrame=function(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.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()},e.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 t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.getWeight=function(t){return this.weightMap[t]},e.addTensorArray=function(t){this.tensorArrayMap[t.id]=t},e.getTensorArray=function(t){return this.tensorArrayMap[t]},jm(t,[{key:"currentContext",set:function(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())},get:function(){return this.contexts}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}}]),t}();function dO(t,e,n){for(var r=new Set,a=[],i=null,o=null,s=new Set,u=Object.keys(t).map((function(t){return T_(t)[0]})),c=[].concat(e);c.length>0;){var l=c.pop();(gO(l)||yO(l))&&null==i&&(o=(i=l).children.map((function(t){return t.name})).filter((function(t){return r.has(t)}))),r.add(l.name),null==n[l.name]&&(-1===u.indexOf(l.name)&&(0!==l.inputs.length?l.inputs.forEach((function(t){s.has(t.name)||(s.add(t.name),c.push(t))})):a.push(l.name)))}return{inputs:t,outputs:e,usedNodes:r,missingInputs:a,dynamicNode:i,syncInputs:o}}var mO=["Switch","Merge","Enter","Exit","NextIteration"],vO=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function gO(t){return mO.indexOf(t.op)>=0}function yO(t){return vO.indexOf(t.op)>=0}var bO=function(){function t(t){this.graph=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=t.outputs,this._inputs=t.inputs,this._signature=t.signature}var e=t.prototype;return e.getCompilationKey=function(t,e){var n=t.map((function(t){return t.name})).sort(),r=e.map((function(t){return t.name})).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},e.compile=function(t,e){var n=dO(t,e,this.weightMap),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+"'. 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Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return this.makeOutput(e,t.shape,"float32")},n.tanh=function(t){TF(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Cv(n[r]);return this.makeOutput(e,t.shape,"float32")},n.asinh=function(t){TF(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return this.makeOutput(e,t.shape,"float32")},n.acosh=function(t){TF(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return this.makeOutput(e,t.shape,"float32")},n.atanh=function(t){TF(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return this.makeOutput(e,t.shape,"float32")},n.erf=function(t){TF(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var a=Math.sign(n[r]),i=Math.abs(n[r]),o=1/(1+.3275911*i);e[r]=a*(1-((((1.061405429*o-1.453152027)*o+1.421413741)*o-.284496736)*o+.254829592)*o*Math.exp(-i*i))}return this.makeOutput(e,t.shape,"float32")},n.step=function(t,e){void 0===e&&(e=0),TF(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),a=0;a<r.length;++a){var i=r[a];isNaN(i)?n[a]=NaN:n[a]=i>0?1:e}return this.makeOutput(n,t.shape,"float32")},n.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,a=t.bias,i=t.activation,o=t.preluActivationWeights,s=this.conv2d(e,n,r);return a&&(s=this.add(s,a)),i&&(s=BF(this,s,i,o)),s},n.conv2d=function(t,e,n){TF([t,e],"conv2d");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c="channelsLast"===n.dataFormat,l=Sy(n.outShape,t.dtype),h=t.strides[0],f=c?t.strides[1]:t.strides[2],p=c?t.strides[2]:1,d=c?1:t.strides[1],m=l.strides[0],v=c?l.strides[1]:l.strides[2],g=c?l.strides[2]:1,y=c?1:l.strides[1],b=this.readSync(t.dataId),x=this.readSync(e.dataId),w=l.values,k=0;k<n.batchSize;++k)for(var S=k*h,C=k*m,R=0;R<n.outHeight;++R)for(var N=C+R*v,E=R*n.strideHeight-u,I=0;I<r;I++){var A=E+I*i;if(!(A<0||A>=n.inHeight))for(var T=I*e.strides[0],D=S+A*f,_=0;_<n.outWidth;++_)for(var O=N+_*g,F=_*n.strideWidth-s,M=0;M<a;M++){var L=F+M*o;if(!(L<0||L>=n.inWidth))for(var z=D+L*p,B=T+M*e.strides[1],P=0;P<n.inChannels;++P){for(var W=b[z+P*d],V=0;V<n.outChannels;++V)w[O+V*y]+=W*x[B+V];B+=n.outChannels}}}return l.toTensor()},n.conv3d=function(t,e,n){for(var r=n.filterDepth,a=n.filterHeight,i=n.filterWidth,o=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,h=n.padInfo.top,f=Sy(n.outShape,t.dtype),p=this.readSync(t.dataId),d=this.readSync(e.dataId),m=f.values,v=0;v<n.batchSize;++v)for(var g=v*t.strides[0],y=v*f.strides[0],b=0;b<n.outDepth;++b)for(var x=y+b*f.strides[1],w=b*n.strideDepth-c,k=0;k<r;k++){var S=w+k*o;if(!(S<0||S>=n.inDepth))for(var C=k*e.strides[0],R=g+S*t.strides[1],N=0;N<n.outHeight;++N)for(var E=x+N*f.strides[2],I=N*n.strideHeight-h,A=0;A<a;A++){var T=I+A*s;if(!(T<0||T>=n.inHeight))for(var D=C+A*e.strides[1],_=R+T*t.strides[2],O=0;O<n.outWidth;++O)for(var F=E+O*n.outChannels,M=O*n.strideWidth-l,L=0;L<i;L++){var z=M+L*u;if(!(z<0||z>=n.inWidth))for(var B=D+L*e.strides[2],P=_+z*n.inChannels,W=B,V=0;V<n.inChannels;++V){for(var U=p[P+V],j=0;j<n.outChannels;++j)m[F+j]+=U*d[W+j];W+=n.outChannels}}}}return f.toTensor()},n.conv2dDerInput=function(t,e,n){TF([t,e],"conv2dDerInput");for(var r=Sy(n.inShape,"float32"),a=r.values,i=this.readSync(t.dataId),o=this.readSync(e.dataId),s=e.strides,u=s[0],c=s[1],l=s[2],h=n.batchSize,f=n.filterHeight,p=n.filterWidth,d=n.inChannels,m=n.inHeight,v=n.inWidth,g=n.outChannels,y=n.outHeight,b=n.outWidth,x=n.strideHeight,w=n.strideWidth,k=n.dataFormat,S=f-1-n.padInfo.top,C=p-1-n.padInfo.left,R="channelsLast"===k,N=r.strides[0],E=R?r.strides[1]:r.strides[2],I=R?r.strides[2]:1,A=R?1:r.strides[1],T=t.strides[0],D=R?t.strides[1]:t.strides[2],_=R?t.strides[2]:1,O=R?1:t.strides[1],F=0;F<h;++F)for(var M=0;M<d;++M)for(var L=0;L<m;++L)for(var z=L-S,B=Math.max(0,Math.ceil(z/x)),P=Math.min(y,(f+z)/x),W=0;W<v;++W){for(var V=W-C,U=Math.max(0,Math.ceil(V/w)),j=Math.min(b,(p+V)/w),G=0,q=B;q<P;++q)for(var H=q*x-z,K=U;K<j;++K)for(var X=T*F+D*q+_*K,Y=u*(f-1-H)+c*(p-1-(K*w-V))+l*M,J=0;J<g;++J){G+=i[X+O*J]*o[Y+J]}a[N*F+E*L+I*W+A*M]=G}return r.toTensor()},n.conv3dDerInput=function(t,e,n){for(var r=Sy(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],c=i[3],l=this.readSync(t.dataId),h=t.strides,f=h[0],p=h[1],d=h[2],m=h[3],v=this.readSync(e.dataId),g=e.strides,y=g[0],b=g[1],x=g[2],w=g[3],k=n.batchSize,S=n.filterDepth,C=n.filterHeight,R=n.filterWidth,N=n.inChannels,E=n.inDepth,I=n.inHeight,A=n.inWidth,T=n.outChannels,D=n.outDepth,_=n.outHeight,O=n.outWidth,F=n.strideDepth,M=n.strideHeight,L=n.strideWidth,z=S-1-n.padInfo.front,B=C-1-n.padInfo.top,P=R-1-n.padInfo.left,W=0;W<k;++W)for(var V=0;V<N;++V)for(var U=0;U<E;++U)for(var j=U-z,G=Math.max(0,Math.ceil(j/F)),q=Math.min(D,(S+j)/F),H=0;H<I;++H)for(var K=H-B,X=Math.max(0,Math.ceil(K/M)),Y=Math.min(_,(C+K)/M),J=0;J<A;++J){for(var $=J-P,Z=Math.max(0,Math.ceil($/L)),Q=Math.min(O,(R+$)/L),tt=0,et=G;et<q;++et)for(var nt=et*F-j,rt=X;rt<Y;++rt)for(var at=rt*M-K,it=Z;it<Q;++it)for(var ot=f*W+p*et+d*rt+m*it,st=y*(S-1-nt)+b*(C-1-at)+x*(R-1-(it*L-$))+w*V,ut=0;ut<T;++ut){tt+=l[ot+ut]*v[st+ut]}a[o*W+s*U+u*H+c*J+V]=tt}return r.toTensor()},n.conv2dDerFilter=function(t,e,n){TF([t,e],"conv2dDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s="channelsLast"===n.dataFormat,u=Sy(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,h=this.bufferSync(t),f=this.bufferSync(e),p=0;p<i;++p)for(var d=Math.max(0,Math.ceil((l-p)/r)),m=Math.min(n.outHeight,(n.inHeight+l-p)/r),v=0;v<o;++v)for(var g=Math.max(0,Math.ceil((c-v)/a)),y=Math.min(n.outWidth,(n.inWidth+c-v)/a),b=0;b<n.inChannels;++b)for(var x=0;x<n.outChannels;++x){for(var w=0,k=0;k<n.batchSize;++k)for(var S=d;S<m;++S)for(var C=p+S*r-l,R=g;R<y;++R){var N=v+R*a-c;w+=s?h.get(k,C,N,b)*f.get(k,S,R,x):h.get(k,b,C,N)*f.get(k,x,S,R)}u.set(w,p,v,b,x)}return u.toTensor()},n.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,a=n.strideHeight,i=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=Sy(n.filterShape,"float32"),l=c.values,h=c.strides,f=h[0],p=h[1],d=h[2],m=h[3],v=this.readSync(e.dataId),g=e.strides,y=g[0],b=g[1],x=g[2],w=g[3],k=this.readSync(t.dataId),S=t.strides,C=S[0],R=S[1],N=S[2],E=S[3],I=n.padInfo.front,A=n.padInfo.left,T=n.padInfo.top,D=0;D<o;++D)for(var _=Math.max(0,Math.ceil((I-D)/r)),O=Math.min(n.outDepth,(n.inDepth+I-D)/r),F=D*f,M=0;M<s;++M)for(var L=Math.max(0,Math.ceil((T-M)/a)),z=Math.min(n.outHeight,(n.inHeight+T-M)/a),B=M*p+F,P=0;P<u;++P)for(var W=Math.max(0,Math.ceil((A-P)/i)),V=Math.min(n.outWidth,(n.inWidth+A-P)/i),U=P*d+B,j=0;j<n.inChannels;++j)for(var G=j*m+U,q=0;q<n.outChannels;++q){for(var H=0,K=0;K<n.batchSize;++K)for(var X=K*C,Y=K*y,J=_;J<O;++J)for(var $=(D+J*r-I)*R+X,Z=J*b+Y,Q=L;Q<z;++Q)for(var tt=(M+Q*a-T)*N+$,et=Q*x+Z,nt=W;nt<V;++nt){var rt=nt*w+et;H+=k[(P+nt*i-A)*E+tt+j]*v[rt+q]}l[G+q]=H}return c.toTensor()},n.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,a=t.bias,i=t.activation,o=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return a&&(s=this.add(s,a)),i&&(s=BF(this,s,i,o)),s},n.depthwiseConv2D=function(t,e,n){TF([t,e],"depthwiseConv2D");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=Sy(n.outShape,t.dtype),h=this.readSync(t.dataId),f=this.readSync(e.dataId),p=l.values,d=0;d<n.batchSize;++d)for(var m=d*t.strides[0],v=d*l.strides[0],g=0;g<n.outHeight;++g)for(var y=v+g*l.strides[1],b=g*n.strideHeight-s,x=0;x<r;++x){var w=b+x*i;if(!(w<0||w>=n.inHeight))for(var k=x*e.strides[0],S=m+w*t.strides[1],C=0;C<n.outWidth;++C)for(var R=y+C*l.strides[2],N=C*n.strideWidth-u,E=0;E<a;++E){var I=N+E*o;if(!(I<0||I>=n.inWidth))for(var A=k+E*e.strides[1],T=S+I*n.inChannels,D=R,_=A,O=0;O<n.inChannels;++O){for(var F=h[T+O],M=0;M<c;++M)p[D+M]+=F*f[_+M];D+=c,_+=c}}}return l.toTensor()},n.depthwiseConv2DDerInput=function(t,e,n){TF([t,e],"depthwiseConv2DDerInput");for(var r=Sy(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],c=this.readSync(t.dataId),l=t.strides,h=l[0],f=l[1],p=l[2],d=this.readSync(e.dataId),m=e.strides,v=m[0],g=m[1],y=m[2],b=n.batchSize,x=n.filterHeight,w=n.filterWidth,k=n.inChannels,S=n.inHeight,C=n.inWidth,R=n.outChannels,N=n.outHeight,E=n.outWidth,I=n.strideHeight,A=n.strideWidth,T=x-1-n.padInfo.top,D=w-1-n.padInfo.left,_=R/k,O=0;O<b;++O)for(var F=0;F<k;++F)for(var M=0;M<S;++M)for(var L=M-T,z=Math.max(0,Math.ceil(L/I)),B=Math.min(N,(x+L)/I),P=0;P<C;++P){for(var W=P-D,V=Math.max(0,Math.ceil(W/A)),U=Math.min(E,(w+W)/A),j=0,G=z;G<B;++G)for(var q=G*I-L,H=V;H<U;++H)for(var K=h*O+f*G+p*H,X=v*(x-1-q)+g*(w-1-(H*A-W))+y*F,Y=0;Y<_;++Y){j+=c[K+(F*_+Y)]*d[X+Y]}a[o*O+s*M+u*P+F]=j}return r.toTensor()},n.depthwiseConv2DDerFilter=function(t,e,n){TF([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=Sy(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,h=this.bufferSync(t),f=this.bufferSync(e),p=0;p<i;++p)for(var d=Math.max(0,Math.ceil((c-p)/r)),m=Math.min(n.outHeight,(n.inHeight+c-p)/r),v=0;v<o;++v)for(var g=Math.max(0,Math.ceil((u-v)/a)),y=Math.min(n.outWidth,(n.inWidth+u-v)/a),b=0;b<n.outChannels;++b){for(var x=Math.trunc(b/l),w=b%l,k=0,S=0;S<n.batchSize;++S)for(var C=d;C<m;++C)for(var R=p+C*r-c,N=g;N<y;++N){var E=v+N*a-u;k+=h.get(S,R,E,x)*f.get(S,C,N,b)}s.set(k,p,v,x,w)}return s.toTensor()},n.tile=function(t,e){return TF(t,"tile"),MF(this.bufferSync(t),e)},n.pad=function(t,e,n){TF(t,"pad");var r=e.map((function(e,n){return e[0]+t.shape[n]+e[1]})),a=e.map((function(t){return t[0]})),i=this.bufferSync(t),o=Sy(r,t.dtype);0!==n&&o.values.fill(n);for(var s=0;s<t.size;s++){var u=i.indexToLoc(s),c=u.map((function(t,e){return t+a[e]}));o.set.apply(o,[i.get.apply(i,u)].concat(c))}return o.toTensor()},n.gather=function(t,e,n){TF([t,e],"gather");var r=t.shape.slice(),a=this.readSync(e.dataId);r[n]=a.length;for(var i=Sy(r,t.dtype),o=this.bufferSync(t),s=0;s<i.size;++s){var u=i.indexToLoc(s),c=u.slice();c[n]=a[u[n]];var l=o.locToIndex(c);i.values[s]=o.values[l]}return i.toTensor()},n.batchToSpaceND=function(t,e,n){TF([t],"batchToSpaceND");var r=e.reduce((function(t,e){return t*e})),a=nN(t.shape,e,r),i=rN(a.length,e.length),o=aN(t.shape,e,r),s=iN(n,e.length),u=oN(o,n,e.length);return Bx(t.reshape(a),i).reshape(o).slice(s,u)},n.spaceToBatchND=function(t,e,n){TF([t],"spaceToBatchND");var r=e.reduce((function(t,e){return t*e})),a=[[0,0]];a.push.apply(a,n);for(var i=1+e.length;i<t.shape.length;++i)a.push([0,0]);var o=t.pad(a),s=nN(o.shape,e,r,!1),u=rN(s.length,e.length,!1),c=aN(o.shape,e,r,!1);return Bx(o.reshape(s),u).reshape(c)},n.maxPool=function(t,e){return TF(t,"maxPool"),DF(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"max").toTensor()},n.maxPoolBackprop=function(t,e,n,r){TF([e,n],"maxPoolBackprop");for(var a=this.readSync(e.dataId),i=Sy(r.outShape,e.dtype,_F(a,e.shape,e.dtype,r).values),o=r.strideHeight,s=r.strideWidth,u=r.dilationHeight,c=r.dilationWidth,l=r.effectiveFilterHeight,h=r.effectiveFilterWidth,f=h-1-r.padInfo.left,p=l-1-r.padInfo.top,d=Sy(e.shape,"float32"),m=this.bufferSync(t),v=0;v<r.batchSize;++v)for(var g=0;g<r.inChannels;++g)for(var y=0;y<r.inHeight;++y)for(var b=0;b<r.inWidth;++b){for(var x=y-p,w=b-f,k=0,S=0;S<l;S+=u){var C=(x+S)/o;if(!(C<0||C>=r.outHeight||Math.floor(C)!==C))for(var R=0;R<h;R+=c){var N=(w+R)/s;if(!(N<0||N>=r.outWidth||Math.floor(N)!==N)){var E=l*h-1-i.get(v,C,N,g)===S*h+R?1:0;if(0!==E)k+=m.get(v,C,N,g)*E}}}d.set(k,v,y,b,g)}return d.toTensor()},n.avgPoolBackprop=function(t,e,n){TF([t,e],"avgPoolBackprop");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,h=l-1-n.padInfo.left,f=c-1-n.padInfo.top,p=Sy(e.shape,"float32"),d=1/(i*o),m=this.bufferSync(t),v=0;v<n.batchSize;++v)for(var g=0;g<n.inChannels;++g)for(var y=0;y<n.inHeight;++y)for(var b=0;b<n.inWidth;++b){for(var x=y-f,w=b-h,k=0,S=0;S<c;S+=s){var C=(x+S)/r;if(!(C<0||C>=n.outHeight||Math.floor(C)!==C))for(var R=0;R<l;R+=u){var N=(w+R)/a;if(!(N<0||N>=n.outWidth||Math.floor(N)!==N))k+=m.get(v,C,N,g)}}p.set(k*d,v,y,b,g)}return p.toTensor()},n.pool3d=function(t,e,n){TF(t,"pool3d");for(var r=e.strideDepth,a=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.front,p=e.padInfo.top,d=e.padInfo.left,m="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,v=this.readSync(t.dataId),g=Sy(e.outShape,t.dtype),y=g.values,b=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],x=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],k=e.outShape[4],S=0;S<e.batchSize;++S)for(var C=S*b,R=S*t.strides[0],N=0;N<e.inChannels;++N)for(var E=0;E<e.outDepth;++E){for(var I=E*r-f,A=I;A<0;)A+=o;for(var T=Math.min(e.inDepth,c+I),D=C+E*x,_=0;_<e.outHeight;++_){for(var O=_*a-p,F=O;F<0;)F+=s;for(var M=Math.min(e.inHeight,l+O),L=D+_*w,z=0;z<e.outWidth;++z){for(var B=z*i-d,P=B;P<0;)P+=u;for(var W=Math.min(e.inWidth,h+B),V=L+z*k,U=m,j=0,G=0,q=A;q<T;q+=o){for(var H=R+q*t.strides[1],K=F;K<M;K+=s){for(var X=H+K*t.strides[2],Y=P;Y<W;Y+=u){var J=v[X+Y*t.strides[3]+N];if("max"===n&&J>U?U=J:"avg"===n&&(j+=J,G++),isNaN(U))break}if(isNaN(U))break}if(isNaN(U))break}y[V+N]="avg"===n?j/G:U}}}return g.toTensor()},n.avgPool3d=function(t,e){return TF(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},n.avgPool3dBackprop=function(t,e,n){TF([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,a=n.strideHeight,i=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,h=n.dilationWidth,f=n.effectiveFilterDepth,p=n.effectiveFilterHeight,d=n.effectiveFilterWidth,m=f-1-n.padInfo.front,v=d-1-n.padInfo.left,g=p-1-n.padInfo.top,y=Sy(e.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var k=0;k<n.inChannels;++k)for(var S=0;S<n.inDepth;++S)for(var C=0;C<n.inHeight;++C)for(var R=0;R<n.inWidth;++R){for(var N=S-m,E=C-g,I=R-v,A=0,T=0;T<f;T+=c){var D=(N+T)/r;if(!(D<0||D>=n.outDepth||Math.floor(D)!==D))for(var _=0;_<p;_+=l){var O=(E+_)/a;if(!(O<0||O>=n.outHeight||Math.floor(O)!==O))for(var F=0;F<d;F+=h){var M=(I+F)/i;if(!(M<0||M>=n.outWidth||Math.floor(M)!==M))A+=x.get(w,D,O,M,k)}}}y.set(A*b,w,S,C,R,k)}return y.toTensor()},n.maxPool3d=function(t,e){return TF(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},n.maxPool3dPositions=function(t,e){for(var n=Sy(e.outShape,"int32"),r=e.strideDepth,a=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.front,p=e.padInfo.top,d=e.padInfo.left,m=this.bufferSync(t),v=0;v<e.batchSize;++v)for(var g=0;g<e.inChannels;++g)for(var y=0;y<e.outDepth;++y){for(var b=y*r-f,x=b;x<0;)x+=o;for(var w=Math.min(e.inDepth,c+b),k=0;k<e.outHeight;++k){for(var S=k*a-p,C=S;C<0;)C+=s;for(var R=Math.min(e.inHeight,l+S),N=0;N<e.outWidth;++N){for(var E=N*i-d,I=E;I<0;)I+=u;for(var A=Math.min(e.inWidth,h+E),T=Number.NEGATIVE_INFINITY,D=-1,_=x;_<w;_+=o)for(var O=_-b,F=C;F<R;F+=s)for(var M=F-S,L=I;L<A;L+=u){var z=L-E,B=m.get(v,_,F,L,g);B>=T&&(T=B,D=O*l*h+M*l+z)}n.set(D,v,y,k,N,g)}}}return n.toTensor()},n.maxPool3dBackprop=function(t,e,n,r){TF([e,n],"maxPool3dBackprop");for(var a=this.maxPool3dPositions(e,r),i=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,h=r.effectiveFilterDepth,f=r.effectiveFilterHeight,p=r.effectiveFilterWidth,d=h-1-r.padInfo.front,m=p-1-r.padInfo.left,v=f-1-r.padInfo.top,g=Sy(e.shape,"float32"),y=this.bufferSync(a),b=this.bufferSync(t),x=0;x<r.batchSize;++x)for(var w=0;w<r.inChannels;++w)for(var k=0;k<r.inDepth;++k)for(var S=0;S<r.inHeight;++S)for(var C=0;C<r.inWidth;++C){for(var R=k-d,N=S-v,E=C-m,I=0,A=0;A<h;A+=u){var T=(R+A)/i;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var D=0;D<f;D+=c){var _=(N+D)/o;if(!(_<0||_>=r.outHeight||Math.floor(_)!==_))for(var O=0;O<p;O+=l){var F=(E+O)/s;if(!(F<0||F>=r.outWidth||Math.floor(F)!==F)){var M=h*f*p-1-y.get(x,T,_,F,w)===A*f*p+D*p+O?1:0;if(0!==M)I+=b.get(x,T,_,F,w)*M}}}}g.set(I,x,k,S,C,w)}return g.toTensor()},n.cast=function(t,e){return vN(t,e,this)},n.reshape=function(t,e){return gN(t,e)},n.avgPool=function(t,e){return TF(t,"avgPool"),TF(t,"maxPool"),DF(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"avg").toTensor().toFloat()},n.resizeBilinear=function(t,e,n,r){TF(t,"resizeBilinear");for(var a=t.shape,i=a[0],o=a[1],s=a[2],u=a[3],c=this.readSync(t.dataId),l=new Float32Array(wv([i,e,n,u])),h=[r&&e>1?o-1:o,r&&n>1?s-1:s],f=[r&&e>1?e-1:e,r&&n>1?n-1:n],p=0,d=h[0]/f[0],m=h[1]/f[1],v=0;v<i;v++)for(var g=0;g<e;g++)for(var y=d*g,b=Math.floor(y),x=y-b,w=Math.min(o-1,Math.ceil(y)),k=v*t.strides[0]+b*t.strides[1],S=v*t.strides[0]+w*t.strides[1],C=0;C<n;C++)for(var R=m*C,N=Math.floor(R),E=R-N,I=Math.min(s-1,Math.ceil(R)),A=k+N*t.strides[2],T=S+N*t.strides[2],D=k+I*t.strides[2],_=S+I*t.strides[2],O=0;O<u;O++){var F=c[A+O],M=c[T+O],L=F+(c[D+O]-F)*E,z=L+(M+(c[_+O]-M)*E-L)*x;l[p++]=z}return ay(l,[i,e,n,u])},n.resizeBilinearBackprop=function(t,e,n){TF([t,e],"resizeBilinearBackprop");for(var r=e.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(a*i*o*s),f=[n&&c>1?i-1:i,n&&l>1?o-1:o],p=[n&&c>1?c-1:c,n&&l>1?l-1:l],d=f[0]/p[0],m=f[1]/p[1],v=this.readSync(t.dataId),g=0,y=0;y<a;y++)for(var b=y*e.strides[0],x=0;x<c;x++)for(var w=x*d,k=Math.floor(w),S=Math.min(Math.ceil(w),i-1),C=b+k*e.strides[1],R=b+S*e.strides[1],N=w-k,E=1-N,I=0;I<l;I++)for(var A=I*m,T=Math.floor(A),D=Math.min(Math.ceil(A),o-1),_=A-T,O=1-_,F=C+T*e.strides[2],M=C+D*e.strides[2],L=R+T*e.strides[2],z=R+D*e.strides[2],B=E*O,P=E*_,W=N*O,V=N*_,U=0;U<s;U++){var j=v[g++];h[F+U]+=j*B,h[M+U]+=j*P,h[L+U]+=j*W,h[z+U]+=j*V}return ly(h,[a,o,i,s],e.dtype)},n.resizeNearestNeighbor=function(t,e,n,r){TF(t,"resizeNearestNeighbor");for(var a=t.shape,i=a[0],o=a[1],s=a[2],u=a[3],c=this.readSync(t.dataId),l=new Float32Array(i*e*n*u),h=[r&&e>1?o-1:o,r&&n>1?s-1:s],f=[r&&e>1?e-1:e,r&&n>1?n-1:n],p=h[0]/f[0],d=h[1]/f[1],m=0,v=0;v<i;v++)for(var g=v*t.strides[0],y=0;y<e;y++)for(var b=p*y,x=g+Math.min(o-1,r?Math.round(b):Math.floor(b))*t.strides[1],w=0;w<n;w++)for(var k=d*w,S=x+Math.min(s-1,r?Math.round(k):Math.floor(k))*t.strides[2],C=0;C<u;C++){var R=c[S+C];l[m++]=R}return ay(l,[i,e,n,u],t.dtype)},n.resizeNearestNeighborBackprop=function(t,e,n){TF([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(a*i*o*s),f=this.readSync(t.dataId),p=[n&&c>1?i-1:i,n&&l>1?o-1:o],d=[n&&c>1?c-1:c,n&&l>1?l-1:l],m=p[0]/d[0],v=p[1]/d[1],g=1/m,y=1/v,b=2*Math.ceil(g)+2,x=2*Math.ceil(y)+2,w=0;w<a;w++)for(var k=w*e.strides[0],S=0;S<i;S++)for(var C=k+S*e.strides[1],R=Math.floor(S*g),N=Math.floor(R-b/2),E=0;E<o;E++)for(var I=C+E*e.strides[2],A=Math.floor(E*y),T=Math.floor(A-x/2),D=0;D<s;D++){for(var _=0,O=0;O<b;O++){var F=O+N;if(!(F<0||F>=c)){var M=k+F*t.strides[1],L=F*m;if(S===Math.min(i-1,n?Math.round(L):Math.floor(L)))for(var z=0;z<x;z++){var B=z+T;if(!(B<0||B>=l)){var P=M+B*t.strides[2],W=B*v;E===Math.min(o-1,n?Math.round(W):Math.floor(W))&&(_+=f[P+D])}}}}h[I+D]=_}return ly(h,e.shape,e.dtype)},n.batchNorm=function(t,e,n,r,a,i){TF([t,e,n,a,r],"batchNorm");for(var o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=a?this.readSync(a.dataId):new Float32Array([1]),l=r?this.readSync(r.dataId):new Float32Array([0]),h=new Float32Array(o.length),f=l.length,p=c.length,d=u.length,m=s.length,v=0,g=0,y=0,b=0,x=0;x<o.length;++x)h[x]=l[v++]+(o[x]-s[g++])*c[y++]/Math.sqrt(u[b++]+i),v>=f&&(v=0),g>=m&&(g=0),y>=p&&(y=0),b>=d&&(b=0);return ly(h,t.shape)},n.localResponseNormalization4D=function(t,e,n,r,a){TF(t,"localResponseNormalization4D");var i=t.shape[3],o=i-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(t){for(var n=t%i,r=t-n+Math.max(0,n-e),a=t-n+Math.min(n+e,o),u=0;r<=a;r++){var c=s[r];u+=c*c}return u}for(var h=0;h<u;h++){var f=l(h),p=s[h]*Math.pow(n+r*f,-a);c[h]=p}return ly(c,t.shape)},n.LRNGrad=function(t,e,n,r,a,i,o){TF(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=this.readSync(n.dataId),h=new Float32Array(t.size),f=t.size,p=0;p<f;p++){for(var d=p%s,m=p-d+Math.max(0,d-r),v=p-d+Math.min(s,d+r+1),g=0,y=m;y<v;y++)g+=Math.pow(c[y],2);g=i*g+a;for(var b=m;b<v;b++){var x=-2*i*o*c[b]*l[p]/g;p===b&&(x+=Math.pow(g,-o)),x*=u[p],h[b]+=x}}return ly(h,t.shape)},n.multinomial=function(t,e,n,r){TF(t,"multinomial");for(var a=e?t:AC(t),i=a.shape[0],o=a.shape[1],s=my([i,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(a.dataId),l=0;l<i;++l){var h=l*o,f=new Float32Array(o-1);f[0]=c[h];for(var p=1;p<f.length;++p)f[p]=f[p-1]+c[h+p];for(var d=BS(r.toString()),m=l*n,v=0;v<n;++v){var g=d();u[m+v]=f.length;for(var y=0;y<f.length;y++)if(g<f[y]){u[m+v]=y;break}}}return s},n.oneHot=function(t,e,n,r){TF(t,"oneHot");var a=new Float32Array(t.size*e);a.fill(r);for(var i=this.readSync(t.dataId),o=0;o<t.size;++o)i[o]>=0&&i[o]<e&&(a[o*e+i[o]]=n);return uy(a,[t.size,e],"int32")},n.nonMaxSuppression=function(t,e,n,r,a){TF(t,"nonMaxSuppression");var i=this.readSync(t.dataId),o=this.readSync(e.dataId);return OF(i,o,n,r,a)},n.fft=function(t){return this.fftBatch(t,!1)},n.ifft=function(t){return this.fftBatch(t,!0)},n.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],a=Sy(t.shape,"float32"),i=Sy(t.shape,"float32"),o=ny(t).as2D(n,r),s=ry(t).as2D(n,r),u=0;u<n;u++)for(var c=o.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),h=ey(c,l),f=this.readSync(this.fftImpl(h,e).dataId),p=0;p<r;p++){var d=fN(f,p);a.values[u*r+p]=d.real,i.values[u*r+p]=d.imag}return ey(a.toTensor(),i.toTensor()).as2D(n,r)},n.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var a=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(a=ey(ny(a).div(oy(r)),ry(a).div(oy(r)))),a}var i=this.readSync(t.dataId),o=cN(this.fourierTransformByMatmul(i,r,e));return ey(o.real,o.imag).as2D(t.shape[0],t.shape[1])},n.isExponentOf2=function(t){return 0==(t&t-1)},n.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),a=e/2,i=lN(r),o=ey(i.real,i.imag).as1D(),s=hN(r),u=ey(s.real,s.imag).as1D();o=this.fftRadix2(o,a,n),u=this.fftRadix2(u,a,n);var c=dN(e,n),l=ey(c.real,c.imag).mul(u),h=o.add(l),f=o.sub(l),p=ny(h).concat(ny(f)),d=ry(h).concat(ry(f));return ey(p,d).as1D()},n.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),a=0;a<e;a++){for(var i=0,o=0,s=0;s<e;s++){var u=mN(a*s,e,n),c=fN(t,s);i+=c.real*u.real-c.imag*u.imag,o+=c.real*u.imag+c.imag*u.real}n&&(i/=e,o/=e),pN(r,i,o,a)}return r},n.depthToSpace=function(t,e,n){gv("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),gv(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));for(var r=t.shape[0],a=t.shape[1],i=t.shape[2],o=t.shape[3],s=a*e,u=i*e,c=o/(e*e),l=this.readSync(t.dataId),h=new Float32Array(r*s*u*c),f=0,p=0;p<r;++p)for(var d=0;d<s;++d)for(var m=Math.floor(d/e),v=d%e,g=0;g<u;++g)for(var y=Math.floor(g/e),b=(v*e+g%e)*c,x=0;x<c;++x){var w=x+b+o*(y+i*(m+a*p));h[f++]=l[w]}return ly(h,[r,s,u,c])},n.broadcastedBinaryOp=function(t,e,n,r){var a=zg(t.shape,e.shape),i=Sy(a,n),o=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Mg(t.shape,a),c=Mg(e.shape,a),l=i.values;if(u.length+c.length===0)for(var h=0;h<l.length;++h)l[h]=r(o[h%o.length],s[h%s.length]);else for(var f=this.bufferSync(t),p=this.bufferSync(e),d=function(n){var a=i.indexToLoc(n),h=a.slice(-t.rank);u.forEach((function(t){return h[t]=0}));var d=f.locToIndex(h),m=a.slice(-e.rank);c.forEach((function(t){return m[t]=0}));var v=p.locToIndex(m);l[n]=r(o[d],s[v])},m=0;m<l.length;++m)d(m);return 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EM.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!Dg()})),EM.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",(function(){return function(t){if(0===t)return!1;var e=QF(t);if(1===t){if(!SM(e,"OES_texture_float"))return!1}else if(!SM(e,"EXT_color_buffer_float"))return!1;return NM(e)}(EM.getNumber("WEBGL_VERSION"))})),EM.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",(function(){return!EM.getBool("WEBGL_FORCE_F16_TEXTURES")&&EM.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")})),EM.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",(function(){return RM(EM.getNumber("WEBGL_VERSION"))})),EM.registerFlag("WEBGL_FENCE_API_ENABLED",(function(){return 2===(t=EM.getNumber("WEBGL_VERSION"))&&null!=QF(t).fenceSync;var t})),EM.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",(function(){return EM.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0}));var IM=function(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((function(t,e){return"T"+e}));var n=[];this.variableNames.forEach((function(t){n.push("float v"+t+" = get"+t+"AtOutCoords();")}));var r=this.variableNames.map((function(t){return"v"+t})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        float result = "+r+";\n        setOutput(result);\n      }\n    "},AM=function(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((function(t,e){return"T"+e}));var n=[];this.variableNames.forEach((function(t){n.push("vec4 v"+t+" = get"+t+"AtOutCoords();")}));var r=this.variableNames.map((function(t){return"v"+t})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "},TM=function(t,e,n){this.variableNames=["A"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=Math.ceil(i/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,o];var s="max"===e?">":"<",u=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 = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "};function DM(t,e){return["x","y","z","w","u","v"].slice(0,e).map((function(e){return t+"."+e}))}function _M(t,e){return 1===e?[t]:DM(t,e)}function OM(){var t,e,n,r,a,i,o,s,u,c;return 2===nv().getNumber("WEBGL_VERSION")?(t="#version 300 es",e="in",n="out",r="in",a="texture",i="outputColor",o="out vec4 outputColor;",s="\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    ",u="",c="\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "):(t="",e="attribute",n="varying",r="varying",a="texture2D",i="gl_FragColor",o="",s="\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    ",u="\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    ",c="\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "),{version:t,attribute:e,varyingVs:n,varyingFs:r,texture2D:a,output:i,defineOutput:o,defineSpecialNaN:s,defineSpecialInf:u,defineRound:c}}function FM(t,e,n){void 0===n&&(n="index");var r=qv(e);return r.map((function(e,a){return"int "+t[a]+" = "+n+" / "+e+"; "+(a===r.length-1?"int "+t[a+1]+" = "+n+" - "+t[a]+" * "+e:"index -= "+t[a]+" * "+e)+";"})).join("")}function MM(t){var e=qv(t).map((function(t){return t.toString()}));return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+e[0]+" + coords.y * "+e[1]+" + coords.z;\n  }\n"}var LM="\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n",zM=Mg;function BM(t,e,n,r){var a=[];t.forEach((function(t){var e=wv(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?a.push("uniform float 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0;":h.map((function(t){return"coords."+p[t+f]+" = 0;"})).join("\n");var d="";d=u<2&&s>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+p[e+f]})).join(", ");return"\n    float "+a+"() {\n      "+l+" coords = getOutputCoords();\n      "+c+"\n      return get"+r+"("+d+");\n    }\n  "}(t,e));return r}(t,e,r)})).join("\n"),c=e.texShape,l=OM(),h=function(t){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+t.texture2D+"(textureSampler, uv).r;\n    }\n  "}(l),f=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+t.defineSpecialNaN+"\n    "+t.defineSpecialInf+"\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+VM+"\n    "+UM+"\n    "+jM+"\n  "}(l);return e.isPacked?(i=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(1===n[0])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ";if(1===n[1])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(kv(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],i=Math.ceil(n[2]/2),o=i*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+a[0]+", "+a[1]+"));\n      int index = resTexRC.x * "+a[1]+" + resTexRC.y;\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+i+");\n      int c = imod(index, "+i+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),a=r*Math.ceil(t[t.length-2]/2),i=a,o="",s="b, r, c",u=2;u<t.length-1;u++)i*=t[t.length-u-1],o="\n      int b"+u+" = index / "+i+";\n      index -= b"+u+" * "+i+";\n    "+o,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+o+"\n\n      int b = index / "+a+";\n      index -= b * "+a+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,a,i,o}(e.logicalShape,c),o=function(t){return"\n    void setOutput(vec4 val) {\n      "+t.output+" = val;\n    }\n  "}(l)):(i=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){if(1===e[0])return"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ";if(1===e[1])return"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){if(kv(t,e))return"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ";if(1===t[1])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ";if(1===t[0])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=e,r=FM(["r","c","d"],t),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(t,e){var n=FM(["r","c","d","d2"],t);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(t,e);case 5:return function(t,e){var n=FM(["r","c","d","d2","d3"],t);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+e[0]+",\n                             "+e[1]+"));\n\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(t,e);case 6:return function(t,e){var n=FM(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}var n,r}(e.logicalShape,c),o=function(t){return"\n    void setOutput(float val) {\n      "+t.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),r&&(f+=GM),[f,h,o,s,i,u,n].join("\n")}function PM(t){var e=t.shapeInfo.logicalShape;switch(e.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,a=r[0],i=r[1];if(1===a&&1===i)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var o=t.shapeInfo.texShape,s=o[0],u=o[1],c=qM(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+c+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+HM(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,a=r[0],i=r[1];if(1===i&&1===a)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var o=qM(e);if(1===i)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+o+") + 0.5) / "+a+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ";if(1===a)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+o+") + 0.5) / "+i+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ";return"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+a+", "+i+", index + "+o+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t.shapeInfo.texShape;if(null!=a&&kv(e,a)){var i=a[0],o=a[1];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var s=Tv(e),u=s.newShape,c=s.keptDims,l=u;if(l.length<e.length){var h=XM(t,l);return"\n      "+PM(h)+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+YM(["row","col"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+e[1]+", 1)));\n        "+HM(t)+"\n      }\n    ";var f=a[0],p=a[1],d=qM(n);if(1===p)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+d+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+f+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";if(1===f)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+d+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+p+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ";return"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+e[1]+" + col + "+d+";\n    vec2 uv = uvFromFlat("+f+", "+p+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e[1]*e[2],i=e[2],o=Tv(e),s=o.newShape,u=o.keptDims,c=s;if(c.length<e.length){var l=XM(t,c);return"\n        "+PM(l)+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+YM(["row","col","depth"],u)+");\n        }\n      "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+a+", "+i+", 1)));\n        "+HM(t)+"\n      }\n    ";var h=t.shapeInfo.texShape,f=h[0],p=h[1],d=t.shapeInfo.flatOffset;if(p===a&&null==d)return"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+i+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+p+".0, "+f+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ";if(p===i&&null==d)return"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+e[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+p+".0, "+f+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";var m=qM(n);return"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+a+" + col * "+i+" + depth + "+m+";\n        vec2 uv = uvFromFlat("+f+", "+p+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(t);case 4:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e[3],i=e[2]*a,o=e[1]*i,s=Tv(e),u=s.newShape,c=s.keptDims;if(u.length<e.length){var l=XM(t,u);return"\n      "+PM(l)+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+YM(["row","col","depth","depth2"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+o+", "+i+", "+a+", 1)));\n        "+HM(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,f=t.shapeInfo.texShape,p=f[0],d=f[1];if(d===o&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+i+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(d===a&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+e[1]*e[2]+", "+e[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var m=qM(n);return"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+o+" + col * "+i+" +\n          depth * "+a+" + depth2;\n      vec2 uv = uvFromFlat("+p+", "+d+", index + "+m+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 5:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e[4],i=e[3]*a,o=e[2]*i,s=e[1]*o,u=Tv(e),c=u.newShape,l=u.keptDims;if(c.length<e.length){var h=XM(t,c);return"\n      "+PM(h)+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+YM(["row","col","depth","depth2","depth3"],l)+");\n      }\n    "}if(t.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        "+HM(t)+"\n      }\n    ";var f=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,d=p[0],m=p[1];if(m===s&&null==f)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==f)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("+e[1]*e[2]*e[3]+",\n               "+e[2]*e[3]+", "+e[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=qM(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  "}(t);case 6:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=Tv(e),i=a.newShape,o=a.keptDims;if(i.length<e.length){var s=XM(t,i);return"\n      "+PM(s)+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+YM(["row","col","depth","depth2","depth3","depth4"],o)+");\n      }\n    "}var u=e[5],c=e[4]*u,l=e[3]*c,h=e[2]*l,f=e[1]*h;if(t.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("+f+", "+h+", "+l+", "+c+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+u+", 1)));\n        "+HM(t)+"\n      }\n    ";var p=t.shapeInfo.flatOffset,d=t.shapeInfo.texShape,m=d[0],v=d[1];if(v===f&&null==p)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("+h+", "+l+", "+c+", "+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==p)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("+e[1]*e[2]*e[3]*e[4]+",\n               "+e[2]*e[3]*e[4]+",\n               "+e[3]*e[4]+",\n               "+e[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=qM(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 * "+f+" + col * "+h+" + depth * "+l+" +\n          depth2 * "+c+" + depth3 * "+u+" + depth4 + "+g+";\n      vec2 uv = uvFromFlat("+m+", "+v+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function WM(t){var e,n,r;switch(t.shapeInfo.logicalShape.length){case 0:return e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=OM(),"\n    vec4 "+n+"() {\n      return "+r.texture2D+"("+e+", halfCR);\n    }\n  ";case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],i=OM();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+a[0]+", "+a[1]+", index);\n      return "+i.texture2D+"("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t.shapeInfo.texShape,i=a[0],o=a[1],s=OM();if(null!=a&&kv(e,a))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],c=Math.ceil(e[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+c+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(1===e[0]){var o=e.slice(1),s=XM(t,o);return"\n        "+WM(s)+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+YM(["b","row","col"],[1,2])+");\n        }\n      "}var u=i[0],c=i[1],l=Math.ceil(e[2]/2),h=l*Math.ceil(e[1]/2),f=OM();return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+u+", "+c+", "+h+", "+l+", b, row, col);\n      return "+f.texture2D+"("+n+", uv);\n    }\n  "}(t);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=t.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],s=o[0],u=o[1],c=Math.ceil(e[n-1]/2),l=c*Math.ceil(e[n-2]/2),h="int b, int row, int col",f="b * "+l+" + (row / 2) * "+c+" + (col / 2)",p=2;p<n-1;p++)h="int b"+p+", "+h,l*=e[n-p-1],f="b"+p+" * "+l+" + "+f;var d=OM();return"\n    vec4 "+a+"("+h+") {\n      int index = "+f+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+d.texture2D+"("+r+", uv);\n    }\n  "}(t)}}var VM="\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",UM="\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",jM="\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",GM="\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 qM(t){return"offset"+t}function HM(t){var e=t.name,n=wv(t.shapeInfo.logicalShape);return n<2?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function KM(t){if(t<=1)return"int";if(2===t)return"ivec2";if(3===t)return"ivec3";if(4===t)return"ivec4";if(5===t)return"ivec5";if(6===t)return"ivec6";throw Error("GPU for rank "+t+" is not yet supported")}function XM(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function YM(t,e){return e.map((function(e){return t[e]})).join(", ")}var JM=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,gv(t.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var a=t[t.length-1],i=Math.ceil(a/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,c=u.length,l=KM(c),h=_M("coords",c);if(1===i){var f=KM(s=c+1);o="\n        "+f+" sourceLocR = "+f+"("+h.join()+", 0);\n        ++"+h[c-1]+";\n        "+f+" sourceLocG = "+f+"("+h.join()+", 0);\n        ++"+h[c-2]+";\n        "+f+" sourceLocA = "+f+"("+h.join()+", 0);\n        --"+h[c-1]+";\n        "+f+" sourceLocB = "+f+"("+h.join()+", 0);\n        --"+h[c-2]+";"}else s=c,o="\n        "+l+" sourceLocR = coords;\n        ++"+h[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+h[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+h[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+h[c-2]+";";var p=["x","y","z","w","u","v"].slice(0,s),d="."+p[s-1],m=p.map((function(t){return"int "+t})),v=_M("sourceLocR",s-1).concat("inIdx.r"),g=_M("sourceLocG",s-1).concat("inIdx.g"),y=_M("sourceLocB",s-1).concat("inIdx.b"),b=_M("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.)",S=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+p.join()+"),\n                                          vec2("+p.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+p.join()+"),\n                               vec2("+p.slice(-2).join()+"));\n      }\n      "+S+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+h[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+h[c-2]+" < "+(u[c-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n          sourceLocB"+d+", sourceLocA"+d+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+k+";\n\n        for (int i = 0; i < "+e+"; 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    "},$M=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,a=t.strideWidth,i=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=s-1-t.padInfo.top,l=u-1-t.padInfo.left,h=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+h+");\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 >= "+t.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 >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ZM=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,a=t.strideDepth,i=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,h=t.effectiveFilterHeight,f=t.effectiveFilterWidth,p=l-1-t.padInfo.front,d=h-1-t.padInfo.top,m=f-1-t.padInfo.left,v=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+p+", "+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 < "+l+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+a+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+h+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+f+";\n                wC += "+c+") {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},QM=function(t,e,n,r,a,i){this.outputShape=[],this.variableNames=["x","mean","variance"],zg(t,e),zg(t,n);var o="0.0";null!=r&&(zg(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(zg(t,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+i+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},tL=function(t,e,n,r,a,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],zg(t,e),zg(t,n);var o="vec4(0.0)";null!=r&&(zg(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=a&&(zg(t,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+o+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+i+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},eL="return areal * breal - aimag * bimag;",nL="return areal * bimag + aimag * breal;",rL=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=zg(e,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+t+"\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    "},aL="return a + b;",iL="return a - b;",oL="return a * b;",sL="return (a < 0.) ? b * a : a;",uL=function(t,e,n){this.variableNames=["A","B"],this.outputShape=zg(e,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+t+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},cL="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",lL=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=zg(e,n);var a=this.outputShape.length,i="";if(r)if(0===a||1===wv(this.outputShape))i="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(i="\n          "+KM(a)+" coords = getOutputCoords();\n        ",1===a)i+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=_M("coords",a);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        "+t+"\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    "},hL=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\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    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),fL=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),pL=function(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},dL=function(t){this.outputShape=[],this.outputShape=Qg(t,1),this.variableNames=t.map((function(t,e){return"T"+e}));var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];for(var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"],a=1;a<e.length;a++){var i=e[a-1];r.push("else if (yC < "+e[a]+") setOutput(getT"+a+"(yR, yC-"+i+"));")}var o=e.length,s=e[e.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    "},mL=function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=Qg(t,e);var n=this.outputShape,r=n.length,a=KM(r),i=_M("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map((function(t,e){return"T"+e}));var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];for(var c=o[e],l=o.slice(-2),h=o.join(),f="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+h+"), vec2("+l.join()+"));\n        }",p=1;p<s.length;p++){var d=s[p-1];f+="\n        if ("+c+" < "+s[p]+"  && "+c+" >= "+s[p-1]+") {\n          return getChannel(\n            getT"+p+"("+vL(o,c,d)+"),\n            vec2("+vL(l,c,d)+"));\n        }"}var m=s.length,v=s[s.length-1];f+="\n        return getChannel(\n          getT"+m+"("+vL(o,c,v)+"),\n          vec2("+vL(l,c,v)+"));",this.userCode="\n      float getValue("+o.map((function(t){return"int "+t}))+") {\n        "+f+"\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 vL(t,e,n){var r=t.indexOf(e);return t.map((function(t,e){return e===r?t+" - "+n:t})).join()}var gL=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,i="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+t.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    "},yL=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,a=t.strideWidth,i="channelsLast"===t.dataFormat,o=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=i?1:2,c=i?2:3,l=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["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - 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 < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 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 >= "+t.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 < "+t.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    "},bL=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,a=t.padInfo.front,i=t.padInfo.top,o=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+a+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+i+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+o+";\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},xL=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,a=t.strideDepth,i=t.strideHeight,o=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\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 < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+a+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 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 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},wL=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,i=t.outChannels/t.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 < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},kL=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,a=t.strideWidth,i=e-1-t.padInfo.top,o=n-1-t.padInfo.left,s=t.outChannels/t.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 < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 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 >= "+t.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    "},SL=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.padInfo.top,i=t.padInfo.left,o=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterHeight,h=t.filterWidth,f=4*Math.floor(t.inChannels/4),p=t.inChannels%4,d="channelsLast"===t.dataFormat,m=d?1:2,v=d?2:3,g=d?3:1,y="",b="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",b="result = activation(result);");var x=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+a+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+g+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+m+"], coords["+v+"]) * 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 < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+t.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 >= "+t.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 ("+d+") {\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===p)+") {\n\n              if ("+d+") {\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===p)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2)\n              );\n\n              if ("+d+") {\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===p)+") {\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 ("+d+") {\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        "+x+"\n        "+b+"\n        setOutput(result);\n      }\n    "},CL=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,a=t.strideDepth,i=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,h=t.filterHeight,f=t.filterWidth,p=4*Math.floor(t.inChannels/4),d=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+a+", "+i+", "+o+");\n      const ivec3 pads = ivec3("+e+", "+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 < "+l+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+h+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+f+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+p+"; 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, "+p+") *\n                  getW(wF, wR, wC, "+p+", d2);\n              } else if ("+(2===d)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+p+"),\n                  getX(batch, xF, xR, xC, "+p+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+p+", d2),\n                  getW(wF, wR, wC, "+p+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===d)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+p+"),\n                  getX(batch, xF, xR, xC, "+p+" + 1),\n                  getX(batch, xF, xR, xC, "+p+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+p+", d2),\n                  getW(wF, wR, wC, "+p+" + 1, d2),\n                  getW(wF, wR, wC, "+p+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},RL=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.inHeight,i=t.inWidth,o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,f=t.filterHeight,p=t.filterWidth,d=t.outChannels/t.inChannels,m="",v="";n&&(m=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",v="result = activation(result);");var g=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+m+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+o+", "+s+");\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 / "+d+";\n        int q = d2 - d1 * "+d+";\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 < "+f+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+a+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+p+"; wC++) {\n            int xC = xCCorner + wC * "+h+";\n\n            if (xC < 0 || xC >= "+i+") {\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        "+g+"\n        "+v+"\n        setOutput(result);\n      }\n    "},NL=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var a=t.inHeight,i=t.inWidth,o=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,f=t.filterHeight,p=t.filterWidth,d=p,m="int xR; int xC; int xCOffset;",v=0;v<f;v++)for(var g=0;g<p;g++)m+="\n          vec4 xTexelR"+v+"C"+2*g+" = vec4(0.);\n          vec4 wR"+v+"C"+g+" = vec4(0.);\n          vec4 xR"+v+"C"+g+" = vec4(0.);";for(var y=0;y<f;y++)for(var b=0;b<d;b++){var x=2*b;if(m+="\n          xR = xRCorner + "+y*l+";\n          xC = xCCorner + "+x*h+";\n        ",1===c){if(x<p&&(m+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+y+"C"+x+" = 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 >= "+i+") {\n                    xTexelR"+y+"C"+x+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+y+"C"+x+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n                  vec4 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 >= "+i+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+y+"C"+x+" = vec4(previous.zw, xTexelR"+y+"C"+x+".xy);\n                } else {\n                  xR"+y+"C"+x+" = vec4(0, 0, xTexelR"+y+"C"+x+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+a+" && xC >= 0 && xC < "+i+") {\n                  xTexelR"+y+"C"+x+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+y+"C"+x+" = vec4(0.);\n                }\n\n                xR"+y+"C"+x+" = xTexelR"+y+"C"+x+";\n              ",x+1<p)){var w=s%2==0?mv(h):h;h%2==0&&s%2==1||h%2!=0&&s%2!=1?(m+="\n                  xCOffset = xC + "+s%2+" + "+w+";\n\n                  if(xR >= 0 && xR < "+a+" &&\n                    xCOffset >= 0 && xCOffset < "+i+") {\n                    xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",h>1&&(m+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+a+" &&\n                      xCOffset >= 0 && xCOffset < "+i+") {\n                      xTexelR"+y+"C"+x+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+y+"C"+x+" = vec4(0.);\n                    }\n                  "),m+="\n                  xR"+y+"C"+(x+1)+" = vec4(\n                    xTexelR"+y+"C"+x+".zw, xTexelR"+y+"C"+(x+2)+".xy);\n                "):m+="\n                  xCOffset = xC + "+w+";\n\n                  if(xR >= 0 && xR < "+a+" &&\n                    xCOffset >= 0 && xCOffset < "+i+") {\n                    xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+y+"C"+(x+1)+" = xTexelR"+y+"C"+(x+2)+";\n                "}}else x<p&&(m+="\n              if(xR >= 0 && xR < "+a+") {\n            ",s%2==1?(m+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+y+"C"+x+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+y+"C"+x+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+i+") {\n                  xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+y+"C"+(x+2)+" = vec4(0.);\n                }\n\n                xR"+y+"C"+x+" = vec4(\n                  xTexelR"+y+"C"+x+".zw, xTexelR"+y+"C"+(x+2)+".zw);\n              ",x+1<p&&(m+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+i+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+y+"C"+(x+1)+" = vec4(xTexelR"+y+"C"+(x+2)+".xy, final.xy);\n                ")):(m+="\n                if(xC >= 0 && xC < "+i+") {\n                  xTexelR"+y+"C"+x+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+y+"C"+x+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+y+"C"+(x+2)+" = vec4(0.);\n                }\n\n                xR"+y+"C"+x+" = vec4(\n                  xTexelR"+y+"C"+x+".xy, xTexelR"+y+"C"+(x+2)+".xy);\n              ",x+1<p&&(m+="\n                  xR"+y+"C"+(x+1)+" = vec4(\n                    xTexelR"+y+"C"+x+".zw, xTexelR"+y+"C"+(x+2)+".zw);\n                ")),m+="}");x<p&&(m+="\n            vec4 wTexelR"+y+"C"+x+" = getW("+y+", "+x+", d1, q);\n            wR"+y+"C"+x+" = vec4(wTexelR"+y+"C"+x+".xz, wTexelR"+y+"C"+x+".xz);\n          ",x+1<p&&(m+="\n              vec4 wTexelR"+y+"C"+(x+1)+" = getW("+y+", "+(x+1)+", d1, q);\n              wR"+y+"C"+(x+1)+" =\n                vec4(wTexelR"+y+"C"+(x+1)+".xz, wTexelR"+y+"C"+(x+1)+".xz);"))}for(var k=0;k<f;k++)for(var S=0;S<p;S++)m+="dotProd += xR"+k+"C"+S+" * wR"+k+"C"+S+";";var C="",R="";n&&(C=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",R="result = activation(result);");var N=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+C+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n\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;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+m+"\n\n        vec4 result = dotProd;\n        "+N+"\n        "+R+"\n        setOutput(result);\n      }\n    "},EL=function(t,e,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=t[0],o=t[1],s=t[2],u=t[3],c=e[0],l=n[0],h=n[1];this.outputShape=[c,l,h,u];var f="bilinear"===r?1:0,p=o-1+".0",d=s-1+".0",m=l>1?[""+(o-1)/(l-1),"(y2-y1) * height_ratio","y1*"+p+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+p],v=m[0],g=m[1],y=m[2],b=h>1?[""+(s-1)/(h-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 > "+p+" ) {\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("+f+" == 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    "},IL=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,a=t[t.length-1],i=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+a+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+KM(r)+" coords = getOutputCoords();\n        int end = "+AL(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+a+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+i+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+AL(r,"coords")+" = idx;\n          val += getX("+function(t,e){if(1===t)return""+e;if(2===t)return e+".x, "+e+".y";if(3===t)return e+".x, "+e+".y, "+e+".z";if(4===t)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function AL(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var TL=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=XF.DENSE;var e=eM(t),n=OM();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+FM(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[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        "+n.output+" = result;\n      }\n    "},DL=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=XF.DENSE;var e=eM(t),n=OM();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+FM(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[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        "+n.output+" = result;\n      }\n    "},_L=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,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 / "+e+";\n      int offset_h = imod(h, "+e+");\n      int in_w = w / "+e+";\n      int offset_w = imod(w, "+e+");\n      int offset_d = (offset_h * "+e+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}var e=t.prototype;return e.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},e.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},e.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},e.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},e.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),OL=function(t){this.variableNames=["X"],this.outputShape=[t,t],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    "},FL=function(t){this.variableNames=["A"],this.outTexUsage=YF.DOWNLOAD;var e=OM();this.outputShape=t,this.userCode="\n      "+LM+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},ML=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=YF.DOWNLOAD;var e=OM();this.outputShape=t,this.userCode="\n      "+LM+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+e.output+" = encode_float(x);\n      }\n    "},LL=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=OM(),a=e[0],i=e[1];this.outputShape=t;var o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode="\n      "+MM(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+i+";\n        int c = imod(flatIndex, "+i+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+o+", 0., 0., 0.);\n      }\n    "},zL=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=OM(),a=e[0],i=e[1];this.outputShape=t;var o="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var l=2*u+c;o+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+t[2]+") {\n            localCoords[2] += "+c+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+i+";\n              c = imod(flatIndex, "+i+");\n              uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+l+"] = values[0];\n              } else if(offset == 1) {\n                result["+l+"] = values[1];\n              } else if(offset == 2) {\n                result["+l+"] = values[2];\n              } else {\n                result["+l+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+MM(t)+"\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        "+o+"\n\n        "+r.output+" = "+s+";\n      }\n    "},BL="return real * expR - imag * expI;",PL="return real * expI + imag * expR;",WL=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var a=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,i=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+a+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\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) / "+i+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},VL=function(){function t(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.valueLoc&&(e.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(e.valueLoc,t)}},t}(),UL=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var a=KM(this.rank),i=function(t,e){var n=t.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[],i=0;i<t.length;i++)i===e?a.push("int(getIndices("+r[i]+"))"):a.push(""+r[i]);return a.join()}(t,n);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "};var jL=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=KM(e.length),a=KM(n.length),i=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+a+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+i+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function GL(t,e){var n=OM();return function(t,e,n){var r=gM(t,e,(function(){return t.createShader(t.VERTEX_SHADER)}),"Unable to create vertex WebGLShader.");if(aM(t,e,(function(){return t.shaderSource(r,n)})),aM(t,e,(function(){return t.compileShader(r)})),!1===t.getShaderParameter(r,t.COMPILE_STATUS))throw console.log(t.getShaderInfoLog(r)),new Error("Failed to compile vertex shader.");return r}(t,e,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    "+n.attribute+" vec2 uv;\n    "+n.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function qL(t,e){return function(t,e,n){var r=gM(t,e,(function(){return t.createBuffer()}),"Unable to create WebGLBuffer");return aM(t,e,(function(){return t.bindBuffer(t.ARRAY_BUFFER,r)})),aM(t,e,(function(){return t.bufferData(t.ARRAY_BUFFER,n,t.STATIC_DRAW)})),r}(t,e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function HL(t,e){return function(t,e,n){var r=gM(t,e,(function(){return t.createBuffer()}),"Unable to create WebGLBuffer");return aM(t,e,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,r)})),aM(t,e,(function(){return t.bufferData(t.ELEMENT_ARRAY_BUFFER,n,t.STATIC_DRAW)})),r}(t,e,new Uint16Array([0,1,2,2,1,3]))}function KL(t,e,n,r,a,i,o){!function(t,e){var n=nv().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t<=0||e<=0)throw new Error("Requested texture size "+("["+t+"x"+e+"]")+" is invalid.");if(t>n||e>n)throw new Error("Requested texture size "+("["+t+"x"+e+"]")+" greater than WebGL maximum on this browser / GPU "+("["+n+"x"+n+"]")+".")}(n,r);var s=function(t,e){return gM(t,e,(function(){return t.createTexture()}),"Unable to create WebGLTexture.")}(t,e),u=t.TEXTURE_2D;return aM(t,e,(function(){return t.bindTexture(u,s)})),aM(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)})),aM(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)})),aM(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)})),aM(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)})),aM(t,e,(function(){return t.texImage2D(u,0,a,n,r,0,i,o,null)})),aM(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)})),s}function XL(t,e,n,r,a,i,o,s){var u=t,c=new Float32Array(function(t,e){var n=nM(t,e);return n[0]*n[1]*4}(i,o));return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}var YL=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=nv().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,function(t,e){$F[t]=e}(e,t)):this.gl=QF(e);var n="WEBGL_color_buffer_float";if(1===nv().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=oM(this.gl,this.debug,"OES_texture_float"),SM(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=oM(this.gl,this.debug,"OES_texture_half_float");else if(nv().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),SM(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=oM(this.gl,this.debug,"EXT_color_buffer_half_float");else if(nv().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",SM(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!SM(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does 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This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;aM(e,this.debug,(function(){return e.finish()})),aM(e,this.debug,(function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)})),aM(e,this.debug,(function(){return e.deleteFramebuffer(t.framebuffer)})),aM(e,this.debug,(function(){return e.bindBuffer(e.ARRAY_BUFFER,null)})),aM(e,this.debug,(function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)})),aM(e,this.debug,(function(){return e.deleteBuffer(t.indexBuffer)})),this.disposed=!0}},e.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),function(t,e,n,r,a){var i=tM(n,r);return KL(t,e,i[0],i[1],a.internalFormatFloat,a.textureFormatFloat,t.FLOAT)}(this.gl,this.debug,t,e,this.textureConfig)},e.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),function(t,e,n,r,a){var i=tM(n,r);return 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Shapes "+r+" and "+i+" must match");if(!t.isUniform||!a.isUniform){var o=t.texShape,s=a.isUniform?null:a.texData.texShape;if(!kv(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}}))}var $L=function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,a=n.inChannels,i=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,h=n.dataFormat,f=s.left,p=s.top,d=a*r,m=OM(),v="channelsLast"===h,g=v?0:1,y=v?1:2,b="",x=0;x<=1;x++)for(var w=0;w<=1;w++)b+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+x+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+o+" - "+p+";\n            d0 = offsetY + "+l+" * (pos / "+d+");\n\n            if(d0 < "+e[g]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+i+". - "+f+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+d+".) / "+a+".));\n\n              if(d1 < "+e[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+a+".));\n\n                if ("+v+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+b+"\n\n        "+m.output+" = result;\n      }\n    "},ZL=function(t,e,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=e,s=t[3]-1;this.outputShape=t;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    "},QL=function(t,e,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,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 - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 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    "},tz=function(t,e,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var i,o=e,s=t[3]-1;this.outputShape=t;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    "},ez=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,a=t.effectiveFilterHeight,i=t.effectiveFilterWidth,o=a-1-t.padInfo.top,s=i-1-t.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) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.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 >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+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    "},nz=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,a=t.dilationDepth,i=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterDepth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=s-1-t.padInfo.front,h=u-1-t.padInfo.top,f=c-1-t.padInfo.left,p=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+h+", "+f+");\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) / "+e+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.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 >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+o+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+p+" -\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+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},rz=function(t,e,n,r,a,i,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===a&&(a=!1),void 0===i&&(i=null),void 0===o&&(o=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",h=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],p="",d="";i&&(p=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+i+"\n        }":"vec4 activation(vec4 x) {\n          "+i+"\n        }",d="result = activation(result);");var m=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+p+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+h[0]+" * "+f[0]+");\n          result += ("+h[1]+" * "+f[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+m+"\n\n        "+d+"\n\n        setOutput(result);\n      }\n    "},az=function(){function t(t,e,n){this.variableNames=["probs"],this.outputShape=[t,n],this.userCode="\n      uniform float seed;\n\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 < "+(e-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("+(e-1)+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.seedLoc&&(e.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(e.seedLoc,t)}},t}(),iz=function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],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    "},oz=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=_M("rc",e),r=KM(e),a=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",a=t-2;a<t;a++)r+=n[a]+" >= "+e[a],a<t-1&&(r+="||");return r}(e,t,n),i=function(t,e,n,r){if(1===t)return"";var a=r.slice(-2);return"\n    int r = "+a[0]+";\n    int c = "+a[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),o=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var a=0;a<=1;a++){for(var i=(0===r?"r":"rp1")+", "+(0===a?"c":"cp1"),o=2;o<t;o++)i=e[e.length-1-o]+","+i;n.push(i)}return n}(n,e);if(1===n)return"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0";return"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+a+") {\n            setOutput(vec4(0));\n          } else {\n            "+i+"\n\n            setOutput(vec4("+o+"));\n          }\n        }\n      "}};var sz=function(t,e,n){this.variableNames=["x"],this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));var r=t.length,a=KM(r),i=e.map((function(t){return t[0]})).join(","),o=e.map((function(e,n){return e[0]+t[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(float("+n+"));\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(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},uz=function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));for(var r=t.length,a=KM(r),i=e.map((function(t){return t[0]})).join(","),o=e.map((function(e,n){return e[0]+t[n]})).join(","),s=_M("rc",r),u=_M("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",h=[a+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\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("+c+") {"],f=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",p="",d=0,m=1===r?2:4;d<m;d++)p+="\n        "+h[d]+"\n        if ("+f+") {\n          result["+d+"] = float("+n+");\n        } else {\n          "+a+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";p+=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        "+p+"\n        setOutput(result);\n      }\n    "},cz=function(t,e,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var i=t.filterWidth,o=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterHeight,h=t.effectiveFilterWidth,f=t.padInfo.top,p=t.padInfo.left;this.outputShape=t.outShape;var d="avg"===e,m="((batch  * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",v="(xR * "+t.inWidth+" + xC) * "+t.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("+f+", "+p+");\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 < "+l+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+c+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?a?m:v:"wR * "+h+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}else{var y=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(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("+f+", "+p+");\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 >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+g+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+l+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+b+"; wC += 4) {\n            int xC = xCCorner + wC * "+c+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              getValue(batch, xR, xC + 3 * "+c+", 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 + "+c+", 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 + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},lz=function(t,e,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var i=t.filterWidth,o=t.strideDepth,s=t.strideHeight,u=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,h=t.dilationWidth,f=t.effectiveFilterDepth,p=t.effectiveFilterHeight,d=t.effectiveFilterWidth,m=t.padInfo.front,v=t.padInfo.top,g=t.padInfo.left;this.outputShape=t.outShape;var y="avg"===e,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 < "+f+";\n              wD += "+c+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+p+";\n                wR += "+l+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+d+";\n                  wC += "+h+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?a?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+p+" * "+d+" +\n                      wR * "+d+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}else{var x=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(x="avgValue / count");var w=4*Math.floor(i/4),k=i%4,S="\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 >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+b+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+f+";\n            wD += "+c+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+";\n            wR += "+l+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+h+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+h+", ch)\n              );\n\n              "+S+"\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              "+S+"\n            } else if ("+(2===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+S+"\n            } else if ("+(3===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                initializationValue\n              );\n\n              "+S+"\n            }\n          }\n          setOutput("+x+");\n        }\n      }\n    "}},hz=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,a=t.inSize,i=Math.ceil(a/n);this.outputShape=[r,i];var o="0.0",s="";"prod"===e?o="1.0":"min"===e?(o="1.0 / 1e-20",s="min"):"max"===e&&(o="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,h="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\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      }\n    ",f="vec4";"all"===e?(o="1.0",h="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",f="bvec4"):"any"===e&&(o="0.0",h="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",f="bvec4");var p="";a%n>0&&(p="\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        "+p+"\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 < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+h+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(2===l)+") {\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(3===l)+") {\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+h+"\n        }\n        setOutput("+u+");\n      }\n    "},fz=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var a="thisRC = rc;";r%2==1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),n+="\n        "+a+"\n        "+(r>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["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      "+("\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+FM(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      ")+MM(t)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+t[1]+";\n        int cols = "+t[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "};var pz=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],i=r[2],o=t.shape,s=o[1],u=o[2],c=[n&&s>1?a-1:a,n&&u>1?i-1:i],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],f=c[1]/l[1],p=1/h,d=1/f,m=2*Math.ceil(p)+2,v=2*Math.ceil(d)+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("+h+");\n        const float widthScale = float("+f+");\n\n        const float invHeightScale = float("+p+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+v+");\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 >= "+s+") {\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 >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(a-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), "+(i-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    "},dz=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],i=t[1],o=t[2],s=t[3];this.outputShape=[a,e,n,s];var u=[r&&e>1?i-1:i,r&&n>1?o-1:o],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".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 = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\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    "},mz=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var a=t[0],i=t[1],o=t[2],s=t[3];this.outputShape=[a,e,n,s];var u=[r&&e>1?i-1:i,r&&n>1?o-1:o],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[1]+");\n      const vec3 inputShapeRC = vec3("+i+".0, "+o+".0,\n                                     "+o+".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 = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\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 < "+(s-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    "},vz=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],i=r[2],o=t.shape,s=o[1],u=o[2],c=[n&&s>1?a-1:a,n&&u>1?i-1:i],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],f=c[1]/l[1],p=1/h,d=1/f,m=2*Math.ceil(p)+2,v=2*Math.ceil(d)+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("+h+");\n        const float widthScale = float("+f+");\n\n        const float invHeightScale = float("+p+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+v+");\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 >= "+s+") {\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 >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+i+") - 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    "},gz=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],i=t[1],o=t[2],s=t[3];this.outputShape=[a,e,n,s];var u=[r&&e>1?i-1:i,r&&n>1?o-1:o],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".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 = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},yz=function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map((function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),a=KM(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("+t[0]+" - coord - 1));\n        }\n      "},bz=function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=_M("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < "+this.outputShape[n-2],o=KM(n);function s(n){var r=t.map((function(r,a){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[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("+t[0]+" - rc - 1),\n            "+t[0]+" - rc - 1);\n          if("+a+"){\n              result.g = getChannel(getX("+t[0]+" - (rc  + 1) - 1),\n                "+t[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(t){return s(t)}(r.slice())+";\n          if("+a+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+i+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+a+") {\n              result.a = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},xz=function(t,e,n,r,a,i,o){this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=KM(a.length),u=KM(i.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",h="";1===r?h="i":2===r&&(h="i, coords[1]");var f="getUpdates("+h+")",p=e>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 < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+l+");\n              flattenedIndex += index * "+p+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+f+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},wz=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,a=t.inSize,i=t.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";a%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var h="";a%n>0&&(h="\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        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+h+"\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          "+c+"\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          "+c+"\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          "+c+"\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          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "},kz=function(t,e,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=e,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<e.length;u++)s.push(""+i[u]),u<t&&o.push(""+i[u]);r=o.join(),a=s.join()}var c=KM(n);this.userCode="\n      void main() {\n        "+c+" 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    "},Sz=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=KM(this.rank),r="uniform int start["+this.rank+"];",a=function(t){if(1===t)return"sourceLoc";if(t<=6)return Cz.slice(0,t).map((function(t){return"sourceLoc."+t})).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map((function(t,e){return"sourceLoc."+Cz[e]+" = start["+e+"] + coords."+Cz[e]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+a+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),Cz=["x","y","z","w","u","v"];var Rz=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=KM(this.rank),n=_M("coords",this.rank),r=_M("sourceLoc",this.rank),a=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",i="getChannel(getSource("+r.join()+"), "+a+")",o="\n      result.x = 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e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),Nz=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,a=KM(n.length),i=KM(n.length),o="";if(1===r)o="coords * strides + begin";else{var s=0;o=n.map((function(t,e){return s++,1===n.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(s-1)+"] * strides["+e+"] + begin["+e+"]"})).join(",")}this.userCode="\n      "+a+" begin = "+a+"("+t+");\n      "+a+" strides = "+a+"("+e+");\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+o+"));\n      }\n    "},Ez=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}var e=t.prototype;return e.acquireTexture=function(t,e,n){var r,a=Iz(e,n),i=Az(t,a,n);if(i in this.freeTextures||(this.freeTextures[i]=[]),i in this.usedTextures||(this.usedTextures[i]=[]),this.freeTextures[i].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var o=this.freeTextures[i].shift();return this.usedTextures[i].push(o),o}return this.numUsedTextures++,this.log(),a===JF.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):a===JF.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):a===JF.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):a===JF.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):a===JF.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[i].push(r),r},e.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var a=Az(e,Iz(n,r),r);a in this.freeTextures||(this.freeTextures[a]=[]),this.freeTextures[a].push(t),this.numFreeTextures++,this.numUsedTextures--;var i=this.usedTextures[a],o=i.indexOf(t);if(o<0)throw new Error("Cannot release a texture that was never provided by this texture manager");i.splice(o,1),this.log()}},e.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},e.getNumUsedTextures=function(){return this.numUsedTextures},e.getNumFreeTextures=function(){return this.numFreeTextures},e.dispose=function(){var t=this;if(null!=this.freeTextures){for(var e in this.freeTextures)this.freeTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));for(var n in this.usedTextures)this.usedTextures[n].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function Iz(t,e){if(t===YF.UPLOAD)return JF.PACKED_2X2_FLOAT32;if(t===YF.RENDER||null==t)return function(t){return nv().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?JF.PACKED_2X2_FLOAT32:JF.UNPACKED_FLOAT32:t?JF.PACKED_2X2_FLOAT16:JF.UNPACKED_FLOAT16}(e);if(t===YF.DOWNLOAD||t===YF.PIXELS)return JF.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function Az(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var Tz=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[r]*e[r];this.outputShape=n,this.rank=n.length;var a=KM(this.rank),i=function(t){var e=t.length;if(e>5)throw Error("Tile for rank "+e+" is not yet supported");if(1===e)return"imod(resRC, "+t[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<t.length;a++)r.push("imod("+n[a]+", "+t[a]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "};var 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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(t){var e=this.texData.get(t),n=e.shape,r=e.dtype,a=e.isPacked,i=wv(n);if(nv().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(t),u=this.texData.get(s.dataId),c=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture].concat(eM(n))).subarray(0,i);return this.disposeData(s.dataId),c}var l=nv().getBool("WEBGL_PACK")&&!0===a,h=l?xM(n):n,f=l?new ML(h):new FL(h),p=this.runWebGLProgram(f,[{shape:h,dtype:r,dataId:t}],"float32"),d=this.texData.get(p.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture,d.texShape[0],d.texShape[1]).subarray(0,i);return this.disposeData(p.dataId),m},n.time=function(){var t=Vm(regeneratorRuntime.mark((function t(e){var n,r,a,i,o,s,u;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 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t.stop()}}),t,this)})));return function(e){return t.apply(this,arguments)}}(),n.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},n.startTimer=function(){return nv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:Jv(),endMs:null}},n.endTimer=function(t){return nv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=Jv(),t)},n.getQueryTime=function(){var t=Vm(regeneratorRuntime.mark((function t(e){var n;return regeneratorRuntime.wrap((function(t){for(;;)switch(t.prev=t.next){case 0:if(!(nv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){t.next=2;break}return t.abrupt("return",this.gpgpu.waitForQueryAndGetTime(e));case 2:return n=e,t.abrupt("return",n.endMs-n.startMs);case 4:case"end":return t.stop()}}),t,this)})));return function(e){return t.apply(this,arguments)}}(),n.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}}},n.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,a=e.texShape,i=e.usage,o=e.isPacked,s=e.slice,u=s&&s.origDataId||t,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},n.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},n.getDataInfo=function(t){return this.texData.get(t)},n.getCPUBackend=function(){return nv().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Cb().findBackend("cpu")),this.cpuBackend):null},n.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every((function(t){return null==n.texData.get(t.dataId).texture&&wv(t.shape)<e}))},n.getGPGPUContext=function(){return this.gpgpu},n.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Cb().keep(t.clone()),imag:Cb().keep(e.clone())},n},n.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},n.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},n.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===wv(n))return ay([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,a=tw(t.shape,e,n);if(r||!a){var i=nv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Rz(n):new Sz(n),o=i.getCustomSetupFunc(e);return this.compileAndRun(i,[t],null,o)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},n.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),a=this.makeOutput(n,t.dtype),i=this.texData.get(a.dataId);Object.assign(i,r),i.shape=n,i.dtype=t.dtype;var o=ew(e,t.strides);r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(i.slice.origDataId)||1;return this.dataRefCount.set(i.slice.origDataId,s+1),a},n.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var a=$x(e,n,r);if(a.some((function(t){return 0===t})))return ay([],a);var i=new Nz(e,r,a);return this.compileAndRun(i,[t])},n.reverse=function(t,e){var n=nv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new bz(t.shape,e):new yz(t.shape,e);return this.compileAndRun(n,[t])},n.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map((function(t){return ny(t)})),r=t.map((function(t){return 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a=n?t.shape[2]:t.shape[1],i=r?e.shape[1]:e.shape[2],o=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===a||1===i)&&o>1e3){n&&(t=Bx(t,[0,2,1])),r&&(e=Bx(e,[0,2,1]));var u=1===i?t:t.as3D(s,o,1),c=1===i?2:1,l=1===i?e.as3D(s,1,o):e;return this.multiply(u,l).sum(c,!0)}var h=wg(t.dtype,e.dtype),f=new rz(t.shape,[s,a,i],n,r);return this.compileAndRun(f,[t,e],h)},n.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,a=t.transposeB,i=t.bias,o=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],c=a?n.shape[1]:n.shape[2],l=e.shape[0],h=wg(e.dtype,n.dtype),f=null!=i,p=null!=s,d=o?tB(o,!0):null,m=new rz(e.shape,[l,u,c],r,a,f,d,p),v=[e,n];return i&&v.push(i),s&&v.push(s),this.compileAndRun(m,v,h)},n.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),a=new rL(eL,t.shape,e.shape),i=new rL(nL,t.shape,e.shape),o=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],s=this.compileAndRun(a,o),u=this.compileAndRun(i,o),c=this.complex(s,u);return s.dispose(),u.dispose(),c}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,oL,t.dtype);var l=new uL(oL,t.shape,e.shape);return this.compileAndRun(l,[t,e],t.dtype)},n.batchNorm=function(t,e,n,r,a,i){var o=[t,e,n],s=null;null!=r&&(s=r.shape,o.push(r));var u=null;if(null!=a&&(u=a.shape,o.push(a)),nv().getBool("WEBGL_PACK_NORMALIZATION")){var c=new tL(t.shape,e.shape,n.shape,s,u,i);return this.compileAndRun(c,o)}var l=new QM(t.shape,e.shape,n.shape,s,u,i);return this.compileAndRun(l,o)},n.localResponseNormalization4D=function(t,e,n,r,a){var i=nv().getBool("WEBGL_PACK_NORMALIZATION")?new tz(t.shape,e,n,r,a):new ZL(t.shape,e,n,r,a);return this.compileAndRun(i,[t])},n.LRNGrad=function(t,e,n,r,a,i,o){var s=new QL(e.shape,r,a,i,o);return this.compileAndRun(s,[e,n,t])},n.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map((function(t){return tg(t)})),r=Sy(t.shape,t.dtype,n);return Jz(r,e)}var a=new Tz(t.shape,e);return this.compileAndRun(a,[t])},n.pad=function(t,e,n){var r=nv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new uz(t.shape,e,n):new sz(t.shape,e,n);return this.compileAndRun(r,[t])},n.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new UL(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},n.batchToSpaceND=function(t,e,n){gv(t.rank<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return 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i=t.shape[0],o=t.shape[1],s=Xz.segOpComputeOptimalWindowSize(o,a),u=new wz({windowSize:s,inSize:o,batchSize:i,numSegments:a},e),c=this.compileAndRun(u,[t,n],r);return c.shape[1]===a?c:(n=yy(0,a).tile([o/s]),this.segOpCompute(c,e,n,r,a))},n.argMinMaxReduce=function(t,e,n){var r=[e];if(Xg("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!nv().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var a=Hg(t.shape,r),i=a[0],o=wv(a[1]),s=t.as2D(-1,o);return this.argReduce(s,n).reshape(i)}return this.argReducePacked(t,n)},n.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},n.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},n.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var a=new IL(t.shape,n,r);return this.compileAndRun(a,[t])},n.equal=function(t,e){if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new uL("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},n.notEqual=function(t,e){if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new uL("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},n.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new uL("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},n.lessEqual=function(t,e){if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new uL("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},n.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new uL("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},n.greaterEqual=function(t,e){if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new uL("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},n.logicalNot=function(t){var e=new Dz(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},n.logicalAnd=function(t,e){if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new uL("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},n.logicalOr=function(t,e){if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new uL("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},n.select=function(t,e,n){var r=new kz(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],wg(e.dtype,n.dtype))},n.where=function(t){sN("tf.where() in webgl locks the UI thread. 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NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new uL("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},n.mod=function(t,e){var n=nv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new lL("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new uL("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},n.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=nv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new lL("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new uL("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},n.all=function(t,e){Xg("all",e,t.rank);var n=Hg(t.shape,e),r=n[0],a=wv(n[1]),i=t.as2D(-1,a);return this.reduce(i,"all",i.dtype).reshape(r)},n.any=function(t,e){Xg("any",e,t.rank);var n=Hg(t.shape,e),r=n[0],a=wv(n[1]),i=t.as2D(-1,a);return this.reduce(i,"any",i.dtype).reshape(r)},n.floorDiv=function(t,e){if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\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","int32");var n=new uL("\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",t.shape,e.shape);return this.compileAndRun(n,[t,e],"int32")},n.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,aL);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=wg(t.dtype,e.dtype);if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,aL,n);var r=new uL(aL,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},n.packedUnaryOp=function(t,e,n){var r=new Hz(t.shape,e);return this.compileAndRun(r,[t],n)},n.packedBinaryOp=function(t,e,n,r,a){void 0===a&&(a=!1);var i=new lL(n,t.shape,e.shape,a);return this.compileAndRun(i,[t,e],r)},n.complexSeparableBinaryOp=function(t,e,n){var r=this,a=this.texData.get(t.dataId),i=this.texData.get(e.dataId),o=[[a.complexTensors.real,i.complexTensors.real],[a.complexTensors.imag,i.complexTensors.imag]].map((function(a){var i=a[0],o=a[1],s=r.makeComplexComponentTensorInfo(t,i),u=r.makeComplexComponentTensorInfo(e,o),c=new uL(n,t.shape,e.shape);return r.compileAndRun(c,[s,u],wg(i.dtype,o.dtype))})),s=o[0],u=o[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},n.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},n.addN=function(t){if(1===t.length)return t[0];if(t.length>nv().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}var a=t.map((function(t){return t.dtype})).reduce((function(t,e){return wg(t,e)})),i=t.map((function(t){return t.shape})),o=nv().getBool("WEBGL_PACK")?new AM(t[0].shape,i):new IM(t[0].shape,i);return this.compileAndRun(o,t,a)},n.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,iL);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=wg(t.dtype,e.dtype);if(nv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,iL,t.dtype);var r=new uL(iL,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},n.pow=function(t,e){var n=nv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new lL("\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  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new uL("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),r=wg(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},n.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(nv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Bz,t.dtype);var e=new Dz(t.shape,Bz);return this.compileAndRun(e,[t])},n.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(nv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Pz,t.dtype);var e=new Dz(t.shape,Pz);return this.compileAndRun(e,[t])},n.sign=function(t){var e=new Dz(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},n.isNaN=function(t){var e=new Dz(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},n.isInf=function(t){var e=new Dz(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},n.isFinite=function(t){var e=new Dz(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},n.round=function(t){var e=new Dz(t.shape,"\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");return this.compileAndRun(e,[t])},n.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(nv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Wz,t.dtype);var e=new Dz(t.shape,Wz);return this.compileAndRun(e,[t])},n.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(nv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Vz,t.dtype);var e=new Dz(t.shape,Vz);return this.compileAndRun(e,[t])},n.softmax=function(t,e){var n=Av([e],t.shape),r=kS(t,n),a=Kg(r.shape,n),i=this.subtract(t,r.reshape(a)),o=this.exp(i),s=this.sum(o,n).reshape(a);return Ix(o,s)},n.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(nv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",t.dtype);var e=new Dz(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},n.log1p=function(t){var e=new Dz(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},n.sqrt=function(t){var e=new Dz(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},n.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new Dz(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},n.reciprocal=function(t){var e=new Dz(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},n.relu=function(t){var e;return e=nv().getBool("WEBGL_PACK")?new Hz(t.shape,jz):new Dz(t.shape,Fz),this.compileAndRun(e,[t])},n.relu6=function(t){var e;return e=nv().getBool("WEBGL_PACK")?new Hz(t.shape,Gz):new Dz(t.shape,Mz),this.compileAndRun(e,[t])},n.prelu=function(t,e){var n=nv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new lL(cL,t.shape,e.shape):new uL(sL,t.shape,e.shape);return this.compileAndRun(n,[t,e])},n.elu=function(t){if(nv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,qz,t.dtype);var e=new Dz(t.shape,Lz);return this.compileAndRun(e,[t])},n.eluDer=function(t,e){var n=nv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new lL("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new uL("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},n.selu=function(t){var e=new Dz(t.shape,"\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");return this.compileAndRun(e,[t])},n.int=function(t){var e=new Dz(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},n.clip=function(t,e,n){var r,a=(r=nv().getBool("WEBGL_PACK_CLIP")?new fL(t.shape):new hL(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,a)},n.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(nv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Oz,t.dtype);var e=new Dz(t.shape,Oz);return this.compileAndRun(e,[t])},n.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new pL(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},n.sigmoid=function(t){var e=new Dz(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},n.softplus=function(t){var e=new Dz(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},n.sin=function(t){var e=new Dz(t.shape,"if (isnan(x)) return x;\n  return sin(x);\n");return this.compileAndRun(e,[t])},n.cos=function(t){var e=new Dz(t.shape,"if (isnan(x)) return x;\n  return cos(x);\n");return this.compileAndRun(e,[t])},n.tan=function(t){var e=new Dz(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},n.asin=function(t){var e=new Dz(t.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n");return this.compileAndRun(e,[t])},n.acos=function(t){var e=new Dz(t.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n");return this.compileAndRun(e,[t])},n.atan=function(t){var e=new Dz(t.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(e,[t])},n.atan2=function(t,e){var n=nv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new lL("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new uL("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},n.sinh=function(t){var e=new Dz(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},n.cosh=function(t){var e=new Dz(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},n.tanh=function(t){var e=new Dz(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},n.asinh=function(t){var e=new Dz(t.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(e,[t])},n.acosh=function(t){var e=new Dz(t.shape,"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));");return this.compileAndRun(e,[t])},n.atanh=function(t){var e=new Dz(t.shape,"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;");return this.compileAndRun(e,[t])},n.erf=function(t){var e=new Dz(t.shape,'\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');return this.compileAndRun(e,[t])},n.step=function(t,e){var n=new Dz(t.shape,function(t){return void 0===t&&(t=0),_z+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},n.conv2dByMatMul=function(t,e,n,r,a,i){var o=t.shape,s=this.texData.get(t.dataId),u=n.inChannels,c=o[0]*o[1]*o[2],l=n.outChannels,h="channelsLast"===n.dataFormat,f=(1===c||1===l)&&u>1e3,p=o[2]%2!=0&&!!s.isPacked;if(f||!nv().getBool("WEBGL_LAZILY_UNPACK")||!nv().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!p){var d=h?o[0]*o[1]*o[2]:o[0]*o[2]*o[3],m=this.reshape(t,[1,d,n.inChannels]),v=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:m,b:v,transposeA:!1,transposeB:!1,bias:r,activation:a,preluActivationWeights:i}),n.outShape)}var g=h?o[0]*o[1]*(o[2]+1):o[0]*o[2]*(o[3]+1),y={dataId:t.dataId,shape:[1,g,n.inChannels],dtype:t.dtype},b=s.shape;s.shape=s.shape.slice(),s.shape[s.shape.length-2]++,gv(kM(s.shape,y.shape),(function(){return"packed reshape "+s.shape+" to "+y.shape+" isn't free"}));var x=this.reshape(e,[1,n.inChannels,n.outChannels]),w=this.fusedBatchMatMul({a:y,b:x,transposeA:!1,transposeB:!1,bias:r,activation:a,preluActivationWeights:i}),k=this.texData.get(w.dataId);return gv(k.isPacked,(function(){return"batchMatMul result is expected to be packed"})),s.shape=b,k.shape=n.outShape,Cb().makeTensorFromDataId(w.dataId,n.outShape,w.dtype)},n.conv2dWithIm2Row=function(t,e,n,r,a,i){var o=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,h="channelsLast"===n.dataFormat,f=o*s*u,p=l*c,d=[f,p],m=t.squeeze([0]),v=e.reshape([1,f,-1]),g=new $L(d,m.shape,n),y=this.compileAndRun(g,[m]).reshape([1,d[0],d[1]]),b=null!=r,x=null!=i,w=a?tB(a,!0):null,k=new rz(y.shape,[1,p,n.outChannels],!0,!1,b,w,x),S=[y,v];r&&S.push(r),x&&S.push(i);var C=this.compileAndRun(k,S);return h?C.reshape([1,l,c,n.outChannels]):C.reshape([1,n.outChannels,l,c])},n.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,a=t.bias,i=t.activation,o=t.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(e,n,r,a,i,o);if(nv().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,a,i,o);var s=null!=a,u=null!=o,c=i?tB(i,!1):null,l=new SL(r,s,c,u),h=[e,n];return a&&h.push(a),o&&h.push(o),this.compileAndRun(l,h)},n.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(nv().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new SL(n);return this.compileAndRun(r,[t,e])},n.conv2dDerInput=function(t,e,n){var r=new yL(n);return this.compileAndRun(r,[t,e])},n.conv2dDerFilter=function(t,e,n){var r=new gL(n);return this.compileAndRun(r,[t,e])},n.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,a=t.convInfo,i=t.bias,o=t.activation,s=t.preluActivationWeights,u=nv().getBool("WEBGL_PACK_DEPTHWISECONV")&&a.strideWidth<=2&&a.outChannels/a.inChannels==1,c=o?tB(o,u):null,l=[n,r],h=null!=i,f=null!=s;return h&&l.push(i),f&&l.push(s),u?(e=new NL(a,h,c,f),this.compileAndRun(e,l)):(e=new RL(a,h,c,f),this.compileAndRun(e,l))},n.depthwiseConv2D=function(t,e,n){var r;return nv().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new NL(n),this.compileAndRun(r,[t,e])):(r=new RL(n),this.compileAndRun(r,[t,e]))},n.depthwiseConv2DDerInput=function(t,e,n){var r=new kL(n);return this.compileAndRun(r,[t,e])},n.depthwiseConv2DDerFilter=function(t,e,n){var r=new wL(n);return this.compileAndRun(r,[t,e])},n.conv3d=function(t,e,n){var r=new CL(n);return this.compileAndRun(r,[t,e])},n.conv3dDerInput=function(t,e,n){var r=new xL(n);return this.compileAndRun(r,[t,e])},n.conv3dDerFilter=function(t,e,n){var r=new bL(n);return 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lz(e,"max",!1);return this.compileAndRun(n,[t],"float32")},n.maxPool3dBackprop=function(t,e,n,r){var a=new lz(r,"max",!0),i=this.compileAndRun(a,[e]),o=new nz(r),s=this.compileAndRun(o,[t,i],e.dtype);return i.dispose(),s},n.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!kM(t.shape,e)&&(null===n.texture||!kM(n.shape,e))){var r=this.packedReshape(t,e);return Cb().makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return gN(t,e)},n.resizeBilinear=function(t,e,n,r){var a=nv().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new mz(t.shape,e,n,r):new dz(t.shape,e,n,r);return this.compileAndRun(a,[t],"float32")},n.resizeBilinearBackprop=function(t,e,n){var r=new pz(t,e,n);return this.compileAndRun(r,[t])},n.resizeNearestNeighbor=function(t,e,n,r){var a=new gz(t.shape,e,n,r);return this.compileAndRun(a,[t])},n.resizeNearestNeighborBackprop=function(t,e,n){var r=new vz(t,e,n);return this.compileAndRun(r,[t])},n.multinomial=function(t,e,n,r){var a=e?t:AC(t),i=a.shape[0],o=a.shape[1],s=new az(i,o,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],"int32",u)},n.oneHot=function(t,e,n,r){var a=new iz(t.size,e,n,r);return this.compileAndRun(a,[t])},n.diag=function(t){var e=new OL(t.size);return this.compileAndRun(e,[t])},n.cropAndResize=function(t,e,n,r,a,i){var o=new EL(t.shape,e.shape,r,a,i);return this.compileAndRun(o,[t,e,n],"float32")},n.depthToSpace=function(t,e,n){gv(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));var r=t.shape[0],a="NHWC"===n?t.shape[1]:t.shape[2],i="NHWC"===n?t.shape[2]:t.shape[3],o="NHWC"===n?t.shape[3]:t.shape[1],s=a*e,u=i*e,c=o/(e*e),l=new _L("NHWC"===n?[r,s,u,c]:[r,c,s,u],e,n);return this.compileAndRun(l,[t])},n.split=function(t,e,n){return Yz(t,e,n)},n.scatterND=function(t,e,n){var r=Tk(0,t,n),a=r.sliceRank,i=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/o,o],l=t.reshape([i,a]),h=e.reshape([i,o]);if(0===u)return gN(ay([]),n);var f=oy(0),p=new xz(i,a,l.rank,h.rank,s,c);return this.compileAndRun(p,[h,l,f]).reshape(n)},n.sparseToDense=function(t,e,n,r){var a=Tk(0,t,n),i=a.sliceRank,o=a.numUpdates,s=a.strides,u=a.outputSize,c=new xz(o,i,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)},n.fft=function(t){return this.fftImpl(t,!1)},n.ifft=function(t){return this.fftImpl(t,!0)},n.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new WL(BL,t.shape,e),a=new WL(PL,t.shape,e),i=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag)],o=this.compileAndRun(r,i),s=this.compileAndRun(a,i),u=this.complex(o,s).as2D(t.shape[0],t.shape[1]);return o.dispose(),s.dispose(),u},n.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],a=Nk(t,e),i=a[0],o=a[1],s=a[2],u=a[3],c=e.reshape([o,r]),l=t.reshape([t.size/s,s]),h=new jL(r,u,[o,s]);return this.compileAndRun(h,[l,c]).reshape(i)},n.fill=function(t,e,n){if("string"===(n=n||Uv(e))){var r=_v(n,wv(t));return r.fill(e),Cb().makeTensor(r,t,n,this)}var a=new VL(t,e),i=a.getCustomSetupFunc(e);return this.compileAndRun(a,[],n,i)},n.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},n.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},n.linspace=function(t,e,n){return yN(t,e,n)},n.makeTensorInfo=function(t,e){var n=this.write(null,t,e);return this.texData.get(n).usage=null,{dataId:n,shape:t,dtype:e}},n.makeOutput=function(t,e){var n=this.makeTensorInfo(t,e).dataId;return Cb().makeTensorFromDataId(n,t,e,this)},n.unpackTensor=function(t){var e=new Kz(t.shape);return this.runWebGLProgram(e,[t],t.dtype)},n.packTensor=function(t){var e=new oz(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)},n.packedReshape=function(t,e){var n=[yM(t.shape)].concat(bM(t.shape)),r={dtype:t.dtype,shape:n,dataId:t.dataId},a=[yM(e)].concat(bM(e)),i=new fz(a,n),o=this.runWebGLProgram(i,[r],t.dtype,null,!0);return{dataId:o.dataId,shape:e,dtype:o.dtype}},n.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,a=n.shape,i=n.dtype,o=xM(a);e=r?new DL(o):new TL(o);return{dtype:i,shape:a,dataId:this.runWebGLProgram(e,[{shape:o,dtype:i,dataId:t}],i,null,!0).dataId}},n.runWebGLProgram=function(t,e,n,r,a){var i=this;void 0===a&&(a=!1);var o=this.makeTensorInfo(t.outputShape,n),s=this.texData.get(o.dataId);if(t.packedOutput&&(s.isPacked=!0),t.outPackingScheme===XF.DENSE){var u=eM(t.outputShape);s.texShape=u.map((function(t){return 2*t}))}if(null!=t.outTexUsage&&(s.usage=t.outTexUsage),0===wv(o.shape))return s.values=Dv(o.dtype,0),o;var c=[],l=e.map((function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=i.texData.get(e.dataId);if(null==n.texture){if(!t.packedInputs&&wv(e.shape)<=nv().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:e.shape,texData:null,isUniform:!0,uniformValues:n.values};t.packedInputs&&(n.isPacked=!0,n.shape=e.shape)}else if(!!n.isPacked!=!!t.packedInputs)e=n.isPacked?i.unpackTensor(e):i.packTensor(e),c.push(e),n=i.texData.get(e.dataId);else if(n.isPacked&&!kM(n.shape,e.shape)){var r=e,a=e.shape;e.shape=n.shape,e=i.packedReshape(e,a),c.push(e),n=i.texData.get(e.dataId),r.shape=a}return i.uploadToGPU(e.dataId),{shape:e.shape,texData:n,isUniform:!1}}));this.uploadToGPU(o.dataId);var h,f={shape:o.shape,texData:s,isUniform:!1},p=function(t,e,n){var r="";e.concat(n).forEach((function(t){var e=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0,n=t.isUniform?"uniform":t.texData.texShape;r+=t.shape+"_"+n+"_"+e}));var a=t.userCode,i=t.constructor.name;return i+="_"+r+"_"+a}(t,l,f),d=this.getAndSaveBinary(p,(function(){return function(t,e,n,r){var a=e.userCode,i=n.map((function(t,n){var r={logicalShape:t.shape,texShape:t.isUniform?null:t.texData.texShape,isUniform:t.isUniform,isPacked:!t.isUniform&&t.texData.isPacked,flatOffset:null};return null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0&&(r.flatOffset=t.texData.slice.flatOffset),{name:e.variableNames[n],shapeInfo:r}})),o=i.map((function(t){return t.shapeInfo})),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},u=BM(i,s,a,e.packedInputs),c=t.createProgram(u),l=null,h=t.getUniformLocation(c,"NAN",!1);1===nv().getNumber("WEBGL_VERSION")&&(l=t.getUniformLocation(c,"INFINITY",!1));for(var f={},p=0;p<e.variableNames.length;p++){var d=e.variableNames[p];f[d]=t.getUniformLocation(c,d,!1),f["offset"+d]=t.getUniformLocation(c,"offset"+d,!1)}return{program:e,source:u,webGLProgram:c,uniformLocations:f,inShapeInfos:o,outShapeInfo:s,infLoc:l,nanLoc:h}}(i.gpgpu,t,l,f)})),m=null!=this.activeTimers;if(m&&(h=this.startTimer()),function(t,e,n,r,a){JL(e.inShapeInfos,n),JL([e.outShapeInfo],[r]);var i=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?t.setOutputPackedMatrixTexture(i,o[0],o[1]):t.setOutputMatrixTexture(i,o[0],o[1]),t.setProgram(e.webGLProgram),1===nv().getNumber("WEBGL_VERSION")&&null!==e.infLoc&&t.gl.uniform1f(e.infLoc,1/0),null!==e.nanLoc&&t.gl.uniform1f(e.nanLoc,NaN),n.forEach((function(n,r){var a=e.program.variableNames[r],i=e.uniformLocations[a],o=e.uniformLocations["offset"+a];if(null!=i)if(n.isUniform)if(wv(n.shape)<2)t.gl.uniform1f(i,n.uniformValues[0]);else{var s=n.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),t.gl.uniform1fv(i,s)}else null!=n.texData.slice&&null!=o&&t.gl.uniform1i(o,n.texData.slice.flatOffset),t.setInputMatrixTexture(n.texData.texture,i,r)})),null!=a&&a(t,e.webGLProgram),t.executeProgram()}(this.gpgpu,d,l,f,r),c.forEach((function(t){return i.disposeData(t.dataId)})),m&&(h=this.endTimer(h),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(h)})),!nv().getBool("WEBGL_LAZILY_UNPACK")&&s.isPacked&&!1===a){var v=this.unpackTensor(o);return this.disposeData(o.dataId),v}return o},n.compileAndRun=function(t,e,n,r,a){void 0===a&&(a=!1),n=n||e[0].dtype;var i=this.runWebGLProgram(t,e,n,r,a);return Cb().makeTensorFromDataId(i.dataId,i.shape,i.dtype)},n.getAndSaveBinary=function(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]},n.getTextureManager=function(){return this.textureManager},n.dispose=function(){var t=this;if(!this.disposed){if(!nv().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(e){t.gpgpu.deleteProgram(t.binaryCache[e].webGLProgram),delete t.binaryCache[e]}));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 t=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=Nb((function(){if(!nv().get("WEBGL_RENDER_FLOAT32_ENABLED")){var e=nv().getBool("DEBUG");nv().set("DEBUG",!1);var n=t.abs(oy(1e-8)).dataSync()[0];if(nv().set("DEBUG",e),n>0)return 32}return 16}))),this.floatPrecisionValue},n.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},n.uploadToGPU=function(t){var e=this.texData.get(t),n=e.shape,r=e.dtype,a=e.values,i=e.texture,o=e.usage,s=e.isPacked;if(null==i){var u,c=null!=this.activeTimers;c&&(u=Jv());var l=e.texShape;if(null==l&&(l=function(t,e){void 0===e&&(e=!1);var n=nv().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e&&(n*=2,1===(t=t.map((function(e,n){return n>=t.length-2?mv(t[n]):t[n]}))).length&&(t=[2,t[0]])),2!==t.length){var r=Tv(t);t=r.newShape}var a=wv(t);if(t.length<=1&&a<=n)return[1,a];if(2===t.length&&t[0]<=n&&t[1]<=n)return t;if(3===t.length&&t[0]*t[1]<=n&&t[2]<=n)return[t[0]*t[1],t[2]];if(3===t.length&&t[0]<=n&&t[1]*t[2]<=n)return[t[0],t[1]*t[2]];if(4===t.length&&t[0]*t[1]*t[2]<=n&&t[3]<=n)return[t[0]*t[1]*t[2],t[3]];if(4===t.length&&t[0]<=n&&t[1]*t[2]*t[3]<=n)return[t[0],t[1]*t[2]*t[3]];if(e){var i=yM(t),o=2,s=2;if(t.length){var u=bM(t);o=u[0],s=u[1]}return Rv(a=i*(o/2)*(s/2)).map((function(t){return 2*t}))}return Rv(a)}(n,s),e.texShape=l),null!=a){var h,f=xM(n),p=l[1],d=l[0],m=a instanceof Uint8Array;if(s){var v=nM(l[0],l[1]);p=v[0],d=v[1],h=new zL(f,[d,p],m)}else h=new LL(f,[d,p],m);var g=this.makeTensorInfo([d,p],r);this.texData.get(g.dataId).usage=m?YF.PIXELS:YF.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(g.dataId),p,d,a);var y=this.runWebGLProgram(h,[g],r,null,!0),b=this.texData.get(y.dataId);e.texture=b.texture,e.texShape=b.texShape,e.isPacked=b.isPacked,e.usage=b.usage,this.disposeData(g.dataId),this.texData.delete(y.dataId),e.values=null,c&&(this.uploadWaitMs+=Jv()-u)}else{var x=this.acquireTexture(l,o,r,s);e.texture=x}}},n.convertAndCacheOnCPU=function(t,e){var n=this.texData.get(t),r=n.dtype;return this.releaseGPUData(t),null!=e&&(n.values=function(t,e){if("float32"===e||"complex64"===e)return t;if("int32"===e||"bool"===e){for(var n="int32"===e?new Int32Array(t.length):new Uint8Array(t.length),r=0;r<n.length;++r)n[r]=Math.round(t[r]);return n}throw new Error("Unknown dtype "+e)}(e,r)),n.values},n.acquireTexture=function(t,e,n,r){if(this.numBytesInGPU+=this.computeBytes(t,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(t,e,r)},n.computeBytes=function(t,e){return t[0]*t[1]*zv(e)},e}(NN);var nB,rB=function(t){this.variableNames=["A"];var e=OM(),n=t[0],r=t[1];this.outputShape=t,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 = "+e.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    "},aB=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=OM(),n=t[0],r=t[1];this.outputShape=t,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 = "+e.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n    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i.dataId!==t.dataId&&r.disposeData(i.dataId),sB(o,n,r)}var cB=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];this.outputShape=n,this.rank=n.length;var a=KM(this.rank),i=function(t){var e=t.length;if(e>6)throw Error("Transpose for rank "+e+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e),a=0;a<t.length;a++)r[t[a]]=n[a];return r.join()}(e);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "};var lB=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[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=KM(this.rank),i=DM("rc",this.rank),o=new Array(this.rank),s=0;s<e.length;s++)o[e[s]]=i[s];var u="vec2("+o.slice(-2).join()+")",c="++"+i[this.rank-1]+" < "+n[this.rank-1],l="getChannel(getA("+o.join()+"), "+u+")";this.userCode="\n    void main() {\n      "+a+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+l+";\n      if("+c+") {\n        result[1] = "+l+";\n      }\n      --"+i[this.rank-1]+";\n      if(++"+i[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+l+";\n        if("+c+") {\n          result[3] = "+l+";\n        }\n      }\n      setOutput(result);\n    }\n    "};function hB(t,e,n){var r=nv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new lB(t.shape,e):new cB(t.shape,e);return n.runWebGLProgram(r,[t],t.dtype)}for(var fB=bR,pB=0,dB=[{kernelName:"Max",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,a=e.x,i=n.reductionIndices,o=r,s=a.shape.length,u=Av(i,a.shape),c=Yg(u,s),l=null!=c,h=o.shouldExecuteOnCPU([a]),f=a;if(l){if(h){for(var p=o.texData.get(f.dataId).values,d=new 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p=n.makeTensorInfo(h,"int32");n.texData.get(p.dataId).usage=YF.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(p.dataId),a);var d=nv().getBool("WEBGL_PACK")?new aB(f):new rB(f),m=n.runWebGLProgram(d,[p],"int32");return n.disposeData(p.dataId),m}},{kernelName:"Div",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend;return function(t,e,n){var r=new uL("\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",t.shape,e.shape);return nv().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&(r=new lL("\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",t.shape,e.shape,!0)),n.runWebGLProgram(r,[t,e],"float32")}(e.a,e.b,n)}},{kernelName:"NonMaxSuppressionV3",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs;sN("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var a=e.boxes,i=e.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=n;return yR(c.readSync(a.dataId),c.readSync(i.dataId),o,s,u)}},{kernelName:"NonMaxSuppressionV5",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs;sN("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var a=e.boxes,i=e.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma,l=n,h=l.readSync(a.dataId),f=l.readSync(i.dataId),p=fB(h,f,o,s,u,c);return[p.selectedIndices,p.selectedScores]}},{kernelName:"Square",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,a=n,i=new Dz(r.shape,"return x * x;");return a.runWebGLProgram(i,[r],r.dtype)}},{kernelName:"SquaredDifference",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.a,a=e.b,i=n,o=nv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new lL("return (a - b) * (a - b);",r.shape,a.shape):new uL("return (a - b) * (a - b);",r.shape,a.shape);return i.compileAndRun(o,[r,a])}},{kernelName:"Transpose",backendName:"webgl",kernelFunc:function(t){for(var e,n=t.inputs,r=t.attrs,a=t.backend,i=n.x,o=r.perm,s=a,u=i.shape.length,c=new Array(u),l=0;l<c.length;l++)c[l]=i.shape[o[l]];if(s.shouldExecuteOnCPU([i])){var h=s.texData.get(i.dataId).values,f=oB(h,i.shape,i.dtype,o,c);e=s.makeTensorInfo(c,i.dtype),s.texData.get(e.dataId).values=f}else e=hB(i,o,s);return e}},{kernelName:"MaxPoolWithArgmax",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,a=e.x,i=n.filterSize,o=n.strides,s=n.pad,u=n.includeBatchInIndex,c=r;gv(4===a.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+a.shape.length+"."}));var l=[1,1];gv(lb(o,l),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+l+"'"}));var h=tb(a.shape,i,o,l,s),f=function(t,e,n,r){var a=new cz(n,"max",!1),i=r.runWebGLProgram(a,[t],"float32");return a=new cz(n,"max",!0,!0,e),[i,r.runWebGLProgram(a,[t],"float32")]}(a,u,h,c);return[f[0],f[1]]}}];pB<dB.length;pB++){lv(dB[pB])}_g()&&Ab("webgl",(function(){return new eB}),2);var mB={"tfjs-core":"2.0.0","tfjs-backend-cpu":"2.0.0","tfjs-backend-webgl":"2.0.0","tfjs-data":"2.0.0","tfjs-layers":"2.0.0","tfjs-converter":"2.0.0",tfjs:"2.0.0"};t.AdadeltaOptimizer=qR,t.AdagradOptimizer=HR,t.AdamOptimizer=KR,t.AdamaxOptimizer=XR,t.Add="Add",t.AddN="AddN",t.BatchMatMul="BatchMatMul",t.BatchToSpaceND="BatchToSpaceND",t.BroadcastTo="BroadcastTo",t.Callback=g_,t.CallbackList=zI,t.Concat="Concat",t.Conv2D="Conv2D",t.Conv2DBackpropFilter="Conv2DBackpropFilter",t.Conv2DBackpropInput="Conv2DBackpropInput",t.Conv3D="Conv3D",t.Conv3DBackpropFilterV2="Conv3DBackpropFilterV2",t.Conv3DBackpropInputV2="Conv3DBackpropInputV2",t.CustomCallback=WI,t.DataStorage=RN,t.DepthToSpace="DepthToSpace",t.DepthwiseConv2dNative="DepthwiseConv2dNative",t.DepthwiseConv2dNativeBackpropFilter="DepthwiseConv2dNativeBackpropFilter",t.DepthwiseConv2dNativeBackpropInput="DepthwiseConv2dNativeBackpropInput",t.Diag="Diag",t.Div="Div",t.EarlyStopping=x_,t.Environment=tv,t.Equal="Equal",t.FromPixels="FromPixels",t.FusedBatchNorm="FusedBatchNorm",t.GraphModel=xO,t.Greater="Greater",t.GreaterEqual="GreaterEqual",t.History=PI,t.Identity="Identity",t.InputSpec=CI,t.KernelBackend=NN,t.LRN="LRN",t.LRNBackprop="LRNBackprop",t.LayerVariable=wI,t.LayersModel=eT,t.Less="Less",t.LessEqual="LessEqual",t.Max="Max",t.MaxPoolWithArgmax="MaxPoolWithArgmax",t.MomentumOptimizer=JR,t.NonMaxSuppressionV3="NonMaxSuppressionV3",t.NonMaxSuppressionV5="NonMaxSuppressionV5",t.NotEqual="NotEqual",t.OneHot="OneHot",t.Optimizer=GR,t.PadV2="PadV2",t.RMSPropOptimizer=$R,t.RNN=KD,t.SGDOptimizer=YR,t.Sequential=sT,t.SpaceToBatchND="SpaceToBatchND",t.SplitV="SplitV",t.Square="Square",t.SquaredDifference="SquaredDifference",t.Sub="Sub",t.SymbolicTensor=RI,t.Tensor=pg,t.TensorBuffer=lg,t.Tile="Tile",t.Transpose="Transpose",t.Variable=bg,t.abs=_b,t.acos=Ob,t.acosh=Fb,t.add=Db,t.addN=Wk,t.addStrict=fx,t.all=Vy,t.any=Uy,t.argMax=jy,t.argMin=Gy,t.asin=Mb,t.asinh=Lb,t.atan=zb,t.atan2=px,t.atanh=Bb,t.avgPool=hC,t.avgPool3d=dC,t.backend=Tb,t.backend_util=bN,t.basicLSTMCell=_C,t.batchNorm=Uk,t.batchNorm2d=jk,t.batchNorm3d=Gk,t.batchNorm4d=qk,t.batchToSpaceND=Ux,t.booleanMaskAsync=nC,t.broadcastTo=Kk,t.browser=Rk,t.buffer=Sy,t.callbacks=S_,t.cast=Ry,t.ceil=Pb,t.clipByValue=Wb,t.clone=Hk,t.complex=ey,t.concat=wy,t.concat1d=Xk,t.concat2d=Yk,t.concat3d=Jk,t.concat4d=$k,t.constraints=sE,t.conv1d=Zk,t.conv2d=mb,t.conv2dTranspose=Qk,t.conv3d=tS,t.conv3dTranspose=eS,t.cos=Vb,t.cosh=Ub,t.cumsum=Ny,t.customGrad=By,t.data=EF,t.deprecationWarn=Sb,t.depthToSpace=nS,t.depthwiseConv2d=rS,t.deregisterOp=function(t){delete C_[t]},t.device_util=Og,t.diag=aS,t.disableDeprecationWarnings=function(){nv().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")},t.dispose=Eb,t.disposeVariables=function(){Tg.disposeVariables()},t.div=Ix,t.divNoNan=pS,t.divStrict=dx,t.dot=dS,t.dropout=qC,t.elu=SC,t.enableDebugMode=function(){nv().set("DEBUG",!0)},t.enableProdMode=function(){nv().set("PROD",!0)},t.engine=Cb,t.env=nv,t.equal=mS,t.equalStrict=vC,t.erf=jb,t.exp=Gb,t.expandDims=Ey,t.expm1=qb,t.eye=vS,t.fft=BC,t.fill=vy,t.findBackend=function(t){return Tg.findBackend(t)},t.findBackendFactory=function(t){return Tg.findBackendFactory(t)},t.floor=Hb,t.floorDiv=mx,t.frame=YC,t.fused=UR,t.gather=QS,t.gatherND=GC,t.gather_util=Ek,t.getBackend=function(){return Tg.backendName},t.getGradient=uv,t.getKernel=sv,t.getKernelsForBackend=cv,t.grad=function(t){return gv(jv(t),(function(){return"The f passed in grad(f) must be a function"})),function(e,n){var r=Ug(e,"x","tf.grad",null),a=null!=n?Ug(n,"dy","tf.grad"):null;return Tg.tidy((function(){var e=Tg.gradients((function(){return t(r)}),[r],a),n=e.value,i=e.grads;return null!=a&&yv(n.shape,a.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Py(i),i[0]}))}},t.grads=function(t){return gv(jv(t),(function(){return"The f passed in grads(f) must be a function"})),function(e,n){gv(Array.isArray(e),(function(){return"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s"}));var r=jg(e,"args","tf.grads",null),a=null!=n?Ug(n,"dy","tf.grads"):null;return Tg.tidy((function(){var e=Tg.gradients((function(){return t.apply(void 0,r)}),r,a),n=e.value,i=e.grads;return null!=a&&yv(n.shape,a.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Py(i),i}))}},t.greater=gS,t.greaterEqual=yS,t.greaterEqualStrict=gC,t.greaterStrict=yC,t.hammingWindow=XC,t.hannWindow=KC,t.ifft=PC,t.imag=ry,t.image=FR,t.inTopKAsync=tR,t.initializers=hI,t.input=uT,t.io=bk,t.irfft=VC,t.isFinite=ax,t.isInf=rx,t.isNaN=nx,t.keep=Ib,t.kernel_impls=CN,t.layers=p_,t.leakyRelu=CC,t.less=bS,t.lessEqual=xS,t.lessEqualStrict=bC,t.lessStrict=xC,t.linalg=mR,t.linspace=gy,t.loadGraphModel=function(t,e){return wO.apply(this,arguments)},t.loadLayersModel=function(t,e){return null==e&&(e={}),function(t,e){return rT.apply(this,arguments)}(t,e)},t.localResponseNormalization=wS,t.log=Kb,t.log1p=Xb,t.logSigmoid=Yb,t.logSoftmax=TC,t.logSumExp=qy,t.logicalAnd=sS,t.logicalNot=uS,t.logicalOr=cS,t.logicalXor=lS,t.losses=lR,t.matMul=Oy,t.math=kk,t.max=kS,t.maxPool=lC,t.maxPool3d=pC,t.maxPoolWithArgmax=mC,t.maximum=vx,t.maximumStrict=gx,t.mean=Hy,t.memory=Rb,t.metrics=d_,t.min=Ky,t.minimum=yx,t.minimumStrict=bx,t.mod=xx,t.modStrict=wx,t.model=function(t){return new eT(t)},t.models=m_,t.moments=Xy,t.movingAverage=FC,t.mul=kx,t.mulStrict=Sx,t.multiRNNCell=OC,t.multinomial=SS,t.neg=Jb,t.nextFrame=eN,t.norm=DC,t.notEqual=CS,t.notEqualStrict=wC,t.oneHot=xk,t.ones=dy,t.onesLike=by,t.op=ty,t.outerProduct=RS,t.pad=Xx,t.pad1d=NS,t.pad2d=ES,t.pad3d=IS,t.pad4d=AS,t.pool=fC,t.pow=Cx,t.powStrict=Rx,t.prelu=RC,t.print=Cy,t.prod=Jy,t.profile=function(t){return Tg.profile(t)},t.rand=TS,t.randomGamma=US,t.randomNormal=jS,t.randomUniform=GS,t.range=yy,t.ready=function(){return Tg.ready()},t.real=ny,t.reciprocal=$b,t.registerBackend=Ab,t.registerCallbackConstructor=function(t,e){UI.registerCallbackConstructor(t,e)},t.registerGradient=hv,t.registerKernel=lv,t.registerOp=function(t,e){var n={tfOpName:t,category:"custom",inputs:[],attrs:[],customExecutor:e};C_[t]=n},t.regularizers=v_,t.relu=NC,t.relu6=EC,t.removeBackend=function(t){Tg.removeBackend(t)},t.reshape=Iy,t.reverse=rC,t.reverse1d=aC,t.reverse2d=iC,t.reverse3d=oC,t.reverse4d=sC,t.rfft=WC,t.round=Zb,t.rsqrt=Qb,t.scalar=oy,t.scatterND=zC,t.scatter_util=Dk,t.selu=IC,t.separableConv2d=qS,t.sequential=function(t){return new sT(t)},t.serialization=Mk,t.setBackend=function(t){return Tg.setBackend(t)},t.setPlatform=function(t,e){nv().setPlatform(t,e)},t.setdiff1dAsync=_y,t.sigmoid=tx,t.sign=ex,t.signal=$C,t.sin=ix,t.sinh=ox,t.slice=rw,t.slice1d=aw,t.slice2d=iw,t.slice3d=ow,t.slice4d=sw,t.slice_util=nw,t.softmax=AC,t.softplus=sx,t.spaceToBatchND=My,t.sparseToDense=jC,t.spectral=UC,t.split=Zy,t.sqrt=ux,t.square=Ax,t.squaredDifference=HS,t.squaredDifferenceStrict=Nx,t.squeeze=Ay,t.stack=Ty,t.step=cx,t.stft=JC,t.stridedSlice=MC,t.sub=Dx,t.subStrict=Ex,t.sum=Yy,t.sumOutType=kg,t.tan=lx,t.tanh=hx,t.tensor=ay,t.tensor1d=sy,t.tensor2d=uy,t.tensor3d=cy,t.tensor4d=ly,t.tensor5d=hy,t.tensor6d=fy,t.tensor_util=Eg,t.test_util=Pk,t.tidy=Nb,t.tile=_x,t.time=function(t){return Tg.time(t)},t.topk=LC,t.train=QR,t.transpose=Bx,t.truncatedNormal=KS,t.unregisterGradient=function(t){if(!ov.has(t))throw new Error("The gradient '"+t+"' for backend is not registered");ov.delete(t)},t.unregisterKernel=function(t,e){var n=fv(t,e);if(!iv.has(n))throw new Error("The kernel '"+t+"' for backend '"+e+"' is not registered");iv.delete(n)},t.unsortedSegmentSum=tC,t.unstack=Dy,t.upcastType=wg,t.util=rg,t.valueAndGrad=function(t){return gv(jv(t),(function(){return"The f passed in valueAndGrad(f) must be a function"})),function(e,n){gv(e instanceof pg,(function(){return"The x passed in valueAndGrad(f)(x) must be a tensor"})),gv(null==n||n instanceof pg,(function(){return"The dy passed in valueAndGrad(f)(x, dy) must be a tensor"}));var r=Tg.gradients((function(){return t(e)}),[e],n),a=r.grads,i=r.value;return Py(a),{grad:a[0],value:i}}},t.valueAndGrads=function(t){return gv(jv(t),(function(){return"The f passed in valueAndGrads(f) must be a function"})),function(e,n){gv(Array.isArray(e)&&e.every((function(t){return t instanceof pg})),(function(){return"The args passed in valueAndGrads(f)(args) must be array of tensors"})),gv(null==n||n instanceof pg,(function(){return"The dy passed in valueAndGrads(f)(args, dy) must be a tensor"}));var r=Tg.gradients((function(){return t.apply(void 0,e)}),e,n);return null!=n&&yv(r.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Py(r.grads),r}},t.variable=py,t.variableGrads=zy,t.version=mB,t.version_converter="2.0.0",t.version_core="2.0.0",t.version_layers="2.0.0",t.where=hS,t.whereAsync=fS,t.zeros=my,t.zerosLike=xy,Object.defineProperty(t,"__esModule",{value:!0})}));
+//# sourceMappingURL=tf.min.js.map
\ No newline at end of file
diff --git a/js/widgets.js b/js/widgets.js
index 19ab306..b3fdc4e 100644
--- a/js/widgets.js
+++ b/js/widgets.js
@@ -5787,7 +5787,7 @@ function add_camera(user_title, user_topic, user_content, user_style, title_styl
             tbd.remove()
     }
     var editForm = $('<div class="nnt"/>')
-    editForm.append($('<div style="margin-top:-63px;margin-left:82.5px;margin-bottom:15px;box-shadow: 1px 1px 20px #4e73df;background-color:white;width:75px;height:75px;padding:40px;border-radius:80px;border:solid #4e73df 3px;display:flex;align-items:center;justify-content:center"><img src="icons/output_text.svg" style="width:45px;"></div>'))
+    editForm.append($('<div style="margin-top:-63px;margin-left:82.5px;margin-bottom:15px;box-shadow: 1px 1px 20px #4e73df;background-color:white;width:75px;height:75px;padding:40px;border-radius:80px;border:solid #4e73df 3px;display:flex;align-items:center;justify-content:center"><img src="icons/camera.svg" style="width:45px;"></div>'))
     editForm.append($('<h5 style="text-align:center">' + JSLang[lang].unitName + '</h5>'))
     var title_input_div = $('<div style="display:flex;flex-direction:row;align-items:center"/>')
     var title_input = $("<input class='form-control form-control-user'  style='text-align:center'/>")
@@ -5920,6 +5920,253 @@ function add_camera(user_title, user_topic, user_content, user_style, title_styl
         itemdiv.attr('style', user_style)
 }
 
+function add_face(user_title, user_topic, user_content, user_style, title_style) {
+    var isAlive = true
+    var contents = []
+    var title = $("<h4 class='userTitle'>" + user_title + "</h4>")
+    title.attr("hidden", title_style)
+    contents.push(title)
+    var topicDiv = $("<div class='topicDiv'/>")
+    var topic = $("<span class='index-topic' style='margin:0;color:#858796;'>" + user_topic + "</span>")
+    topicDiv.append($("<i class='fa fa-podcast' style='color:#858796;margin-right:3px'></i>"))
+    topicDiv.append(topic)
+    var cameraDiv = $("<div class='cameraDiv' style='position:relative'/>")
+    contents.push(cameraDiv)
+    // add a real-time web camera
+    var video = $("<video autoplay style='width:100%;height:100%;'/>")
+    cameraDiv.append(video)
+    // floating canvas on top of the video
+    var canvas = $("<canvas style='position:absolute;top:0;left:0'/>")
+    var canvas2 = $("<canvas style='position:absolute;top:0;left:0;display:none'/>")
+    cameraDiv.append(canvas)
+    cameraDiv.append(canvas2)
+    var ctx = canvas[0].getContext('2d')
+    // 居中显示Loading...
+    
+    var ctx2 = canvas2[0].getContext('2d')
+    navigator.mediaDevices.getUserMedia({
+        video: {
+            width: {
+                ideal: 1000
+            },
+            height: {
+                ideal: 1000
+            },
+            frameRate: {
+                ideal: 60,
+                min: 10
+            }
+        },
+        audio: false
+    }).then(function(stream) {
+        video[0].srcObject = stream
+        ctx.font = "30px Arial"
+        ctx.fillStyle = "#4e73df"
+        ctx.textAlign = "center"
+        ctx.fillText("Loading...", canvas.width() / 2, canvas.height() / 2)
+        blazeface.load().then(function(model) {
+            // 关闭镜面翻转
+            const returnTensors = false;
+            const flipHorizontal = false;
+            const annotateBoxes = true;
+            var fresh = function(){
+            // if video ready
+            if (video[0].readyState >1 && isAlive) {
+                // video element size, not the video resolution
+                canvas[0].height = cameraDiv.height()
+                canvas[0].width = cameraDiv.width()
+                canvas2[0].height = cameraDiv.height()
+                canvas2[0].width = cameraDiv.width()
+                // 在canvas中居中绘制，缩放到合适大小
+                var scale = Math.min(canvas.width() / video[0].videoWidth, canvas.height() / video[0].videoHeight)
+                var x = (canvas.width() - video[0].videoWidth * scale) / 2
+                var y = (canvas.height() - video[0].videoHeight * scale) / 2
+                ctx2.clearRect(0, 0, canvas2.width(), canvas2.height())
+                ctx2.drawImage(video[0], x, y, video[0].videoWidth * scale, video[0].videoHeight * scale)
+                model.estimateFaces(canvas2[0], returnTensors, flipHorizontal, annotateBoxes).then(predictions => {
+                    if (predictions.length > 0) {
+                        for (let i = 0; i < predictions.length; i++) {
+                            if (returnTensors) {
+                                predictions[i].topLeft = predictions[i].topLeft.arraySync();
+                                predictions[i].bottomRight = predictions[i].bottomRight.arraySync();
+                                if (annotateBoxes) {
+                                    predictions[i].landmarks = predictions[i].landmarks.arraySync();
+                                }
+                            }
+                            const start = predictions[i].topLeft;
+                            const end = predictions[i].bottomRight;
+                            const size = [end[0] - start[0], end[1] - start[1]];
+                            ctx.clearRect(0, 0, canvas.width, canvas.height);
+                            // 四角框，标记人脸位置
+                            ctx.fillStyle = 'rgba(255, 255, 255, 0.3)';
+                            ctx.fillRect(start[0], start[1], size[0], size[1]);
+                            if (annotateBoxes) {
+                                const landmarks = predictions[i].landmarks
+                                if(isAlive && isRunning){
+                                    var landmark_dict = {}
+                                    var landmark_names = ['left_eye', 'right_eye', 'nose', 'mouth', 'left_ear', 'right_ear']
+                                    for (let j = 0; j < landmarks.length; j++) {
+                                        const x = landmarks[j][0];
+                                        const y = landmarks[j][1];
+                                        const name = landmark_names[j];
+                                        landmark_dict[name+'_x'] = x
+                                        landmark_dict[name+'_y'] = y
+                                    }
+
+                                    publish(user_topic, JSON.stringify(landmark_dict))
+                                }
+                                ctx.fillStyle = 'blue';
+                                for (let j = 0; j < landmarks.length; j++) {
+                                    const x = landmarks[j][0];
+                                    const y = landmarks[j][1];
+                                    ctx.fillRect(x, y, 5, 5);
+                                }
+                            }
+                        }
+                    }
+                }).catch(err => {
+                    console.log(err)
+                })
+            }
+        }
+        // wait for the video to be loaded
+        setInterval(fresh, 500)
+        })
+        
+    })
+    
+
+    attrs = [
+        ['user-type', 'face'],
+        ['user-title', user_title],
+        ['user-topic', user_topic],
+        ['user-content', user_content],
+        ['title-hidden', title_style]
+    ]
+    var itemdiv = add_block(4, 3, contents, attrs)
+
+    var delete_on_click = function() {
+        title.parent().parent().remove();
+        isAlive = false
+        if (tbd)
+            tbd.remove()
+    }
+    var edit_on_click = function() {
+        modifyDia.showModal()
+        if (tbd)
+            tbd.remove()
+    }
+    var editForm = $('<div class="nnt"/>')
+    editForm.append($('<div style="margin-top:-63px;margin-left:82.5px;margin-bottom:15px;box-shadow: 1px 1px 20px #4e73df;background-color:white;width:75px;height:75px;padding:40px;border-radius:80px;border:solid #4e73df 3px;display:flex;align-items:center;justify-content:center"><img src="icons/blazeFace.svg" style="width:45px;"></div>'))
+    editForm.append($('<h5 style="text-align:center">' + JSLang[lang].unitName + '</h5>'))
+    var title_input_div = $('<div style="display:flex;flex-direction:row;align-items:center"/>')
+    var title_input = $("<input class='form-control form-control-user'  style='text-align:center'/>")
+    title_input_div.append(title_input)
+    editForm.append(title_input_div)
+    editForm.append($('<h5 style="margin-top:15px;text-align:center">' + JSLang[lang].messTopic + '</h5>'))
+    var topic_input_div = $('<div style="display:flex;flex-direction:row;align-items:center"/>')
+    var topic_input = $("<input class='form-control form-control-user'  style='text-align:center'/>")
+    topic_input_div.append(topic_input)
+    editForm.append(topic_input_div)
+    var bottomDiv = $('<div style="width:100%;margin-top:15px;display:flex;flex-direction:row;align-items:center;justify-content:space-around"/>')
+    var confirmEdit = $('<a class="btn btn-primary btn-circle" style="margin-right:10px;box-shadow:1px 1px 5px #4e73df"><i class="fa fa-check"></i></a>')
+    bottomDiv.append(confirmEdit)
+    confirmEdit.click(function() {
+        if (getByteLen(title_input.val()) > 0 && getByteLen(title_input.val()) < 21) {
+            var re = /^[a-z0-9]+$/i;
+            if (getByteLen(topic_input.val()) > 0 && getByteLen(topic_input.val()) < 11)
+                if (true) {
+                    if (countSubstr(grid.html(), 'user-title=\"' + title_input.val() + '\"', false) <= (title_input.val() == title.text() ? 1 : 0)) {
+                        title.parent().parent().attr('user-title', title_input.val())
+                        title.parent().parent().attr('user-topic', topic_input.val())
+                        if (title.parent().parent().attr('user-content') == undefined)
+                            title.parent().parent().attr('user-content', "")
+                        title.text(title_input.val())
+                        topic.text(topic_input.val())
+                        modifyDia.close()
+                    } else
+                        showtext(JSLang[lang].sameUnit)
+                } else
+                    showtext("")
+            else
+                showtext(JSLang[lang].topicLenIllegal)
+        } else
+            showtext(JSLang[lang].nameLenIllegal)
+    })
+    var cancelEdit = $('<a class="btn btn-danger btn-circle" style="box-shadow:1px 1px 5px #e74a3b"><i class="fa fa-arrow-left"></i></a>')
+    cancelEdit.click(function() {
+        modifyDia.close()
+    })
+    bottomDiv.append(cancelEdit)
+    editForm.append(bottomDiv)
+    var modifyDia = dialog({
+        content: editForm[0],
+        cancel: false
+    })
+    var showEditBubble = function(event) {
+        if(tbd)
+            tbd.remove()
+        if (typeof startX != "undefined" && (startX - endX < 5 && endX - startX < 5) && (startY - endY < 5 && endY - startY < 5)) {
+            var editButton = $('<a class="btn btn-primary btn-circle bbbt"><i class="fa fa-cog"></i></a>')
+            var deleteButton = $('<a class="btn btn-danger btn-circle bbbt"><i class="fa fa-trash"></i></a>')
+            var bubble = $('<div style="text-align:center"/>')
+            bubble.append(topicDiv)
+            var d = dialog({
+                align: 'top',
+                content: bubble[0],
+                quickClose: true,
+                autofocus: false
+            });
+            tbd = d;
+            editButton.click(edit_on_click)
+            deleteButton.click(delete_on_click)
+            if (!isRunning)
+                bubble.append(editButton)
+            if (!isRunning)
+                bubble.append(deleteButton)
+            if (!isRunning)
+                {
+                copyButton.attr("user-origin", title.text())
+                bubble.append(copyButton)
+                styleButton.attr("user-origin", title.text())
+                bubble.append(styleButton)
+                helpButton.attr("user-origin", attrs[0][1])
+                bubble.append(helpButton)
+            }
+            title_input.val(title.text())
+            topic_input.val(topic.text())
+            if (!d.open)
+            {
+                d.show(itemdiv[0]);
+                setTimeout(function() {
+                    $(".ui-popup-backdrop").css("pointer-events", "auto")
+                },100)
+            }
+            else
+                d.close()
+        }
+    }
+    if (window.screen.width > 800)
+    {
+        itemdiv.click(showEditBubble)
+        itemdiv.on('contextmenu', function(event) {
+            event.preventDefault()
+            event.stopPropagation()
+            showEditBubble(event)
+        })
+    }
+    else
+        itemdiv[0].addEventListener('touchend', function(event) {
+            event.preventDefault()
+            showEditBubble(event)
+        })
+    itemdiv[0].addEventListener('touchmove', function(e) {
+        e.preventDefault()
+    })
+    if (user_style != undefined)
+        itemdiv.attr('style', user_style)
+}
+
 function init_layout() {
     grid = $("#grid")
     grid2 = $("#grid2")