NewEduCoderBuild/98694.c1663a74.async.js

"use strict";
(self["webpackChunk"] = self["webpackChunk"] || []).push([[98694],{

/***/ 75742:
/*!*******************************************************************************************************!*\
  !*** ./node_modules/_@ant-design_icons@5.3.7@@ant-design/icons/es/icons/CheckOutlined.js + 1 modules ***!
  \*******************************************************************************************************/
/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {


// EXPORTS
__webpack_require__.d(__webpack_exports__, {
  Z: function() { return /* binding */ icons_CheckOutlined; }
});

// EXTERNAL MODULE: ./node_modules/_@babel_runtime@7.24.7@@babel/runtime/helpers/esm/extends.js
var esm_extends = __webpack_require__(4751);
// EXTERNAL MODULE: ./node_modules/_react@17.0.2@react/index.js
var _react_17_0_2_react = __webpack_require__(59301);
;// CONCATENATED MODULE: ./node_modules/_@ant-design_icons-svg@4.4.2@@ant-design/icons-svg/es/asn/CheckOutlined.js
// This icon file is generated automatically.
var CheckOutlined = { "icon": { "tag": "svg", "attrs": { "viewBox": "64 64 896 896", "focusable": "false" }, "children": [{ "tag": "path", "attrs": { "d": "M912 190h-69.9c-9.8 0-19.1 4.5-25.1 12.2L404.7 724.5 207 474a32 32 0 00-25.1-12.2H112c-6.7 0-10.4 7.7-6.3 12.9l273.9 347c12.8 16.2 37.4 16.2 50.3 0l488.4-618.9c4.1-5.1.4-12.8-6.3-12.8z" } }] }, "name": "check", "theme": "outlined" };
/* harmony default export */ var asn_CheckOutlined = (CheckOutlined);

// EXTERNAL MODULE: ./node_modules/_@ant-design_icons@5.3.7@@ant-design/icons/es/components/AntdIcon.js + 3 modules
var AntdIcon = __webpack_require__(68475);
;// CONCATENATED MODULE: ./node_modules/_@ant-design_icons@5.3.7@@ant-design/icons/es/icons/CheckOutlined.js

// GENERATE BY ./scripts/generate.ts
// DON NOT EDIT IT MANUALLY




var CheckOutlined_CheckOutlined = function CheckOutlined(props, ref) {
  return /*#__PURE__*/_react_17_0_2_react.createElement(AntdIcon/* default */.Z, (0,esm_extends/* default */.Z)({}, props, {
    ref: ref,
    icon: asn_CheckOutlined
  }));
};

/**![check](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAiIGhlaWdodD0iNTAiIGZpbGw9IiNjYWNhY2EiIHZpZXdCb3g9IjY0IDY0IDg5NiA4OTYiIGZvY3VzYWJsZT0iZmFsc2UiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+PHBhdGggZD0iTTkxMiAxOTBoLTY5LjljLTkuOCAwLTE5LjEgNC41LTI1LjEgMTIuMkw0MDQuNyA3MjQuNSAyMDcgNDc0YTMyIDMyIDAgMDAtMjUuMS0xMi4ySDExMmMtNi43IDAtMTAuNCA3LjctNi4zIDEyLjlsMjczLjkgMzQ3YzEyLjggMTYuMiAzNy40IDE2LjIgNTAuMyAwbDQ4OC40LTYxOC45YzQuMS01LjEuNC0xMi44LTYuMy0xMi44eiIgLz48L3N2Zz4=) */
var RefIcon = /*#__PURE__*/_react_17_0_2_react.forwardRef(CheckOutlined_CheckOutlined);
if (false) {}
/* harmony default export */ var icons_CheckOutlined = (RefIcon);

/***/ }),

/***/ 56762:
/*!************************************************************************!*\
  !*** ./node_modules/_antd@5.9.0@antd/es/_util/hooks/useForceUpdate.js ***!
  \************************************************************************/
/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {

/* harmony export */ __webpack_require__.d(__webpack_exports__, {
/* harmony export */   Z: function() { return /* binding */ useForceUpdate; }
/* harmony export */ });
/* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! react */ 59301);

function useForceUpdate() {
  const [, forceUpdate] = react__WEBPACK_IMPORTED_MODULE_0__.useReducer(x => x + 1, 0);
  return forceUpdate;
}

/***/ }),

/***/ 8628:
/*!**********************************************************************!*\
  !*** ./node_modules/_antd@5.9.0@antd/es/grid/hooks/useBreakpoint.js ***!
  \**********************************************************************/
/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {

/* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! react */ 59301);
/* harmony import */ var rc_util_es_hooks_useLayoutEffect__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! rc-util/es/hooks/useLayoutEffect */ 19171);
/* harmony import */ var _util_hooks_useForceUpdate__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! ../../_util/hooks/useForceUpdate */ 56762);
/* harmony import */ var _util_responsiveObserver__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! ../../_util/responsiveObserver */ 69507);
"use client";





function useBreakpoint() {
  let refreshOnChange = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : true;
  const screensRef = (0,react__WEBPACK_IMPORTED_MODULE_0__.useRef)({});
  const forceUpdate = (0,_util_hooks_useForceUpdate__WEBPACK_IMPORTED_MODULE_2__/* ["default"] */ .Z)();
  const responsiveObserver = (0,_util_responsiveObserver__WEBPACK_IMPORTED_MODULE_3__/* ["default"] */ .ZP)();
  (0,rc_util_es_hooks_useLayoutEffect__WEBPACK_IMPORTED_MODULE_1__/* ["default"] */ .Z)(() => {
    const token = responsiveObserver.subscribe(supportScreens => {
      screensRef.current = supportScreens;
      if (refreshOnChange) {
        forceUpdate();
      }
    });
    return () => responsiveObserver.unsubscribe(token);
  }, []);
  return screensRef.current;
}
/* harmony default export */ __webpack_exports__.Z = (useBreakpoint);

/***/ }),

/***/ 31797:
/*!*************************************************************************!*\
  !*** ./node_modules/_antd@5.9.0@antd/es/statistic/index.js + 5 modules ***!
  \*************************************************************************/
/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {


// EXPORTS
__webpack_require__.d(__webpack_exports__, {
  Z: function() { return /* binding */ es_statistic; }
});

// EXTERNAL MODULE: ./node_modules/_react@17.0.2@react/index.js
var _react_17_0_2_react = __webpack_require__(59301);
// EXTERNAL MODULE: ./node_modules/_antd@5.9.0@antd/es/_util/hooks/useForceUpdate.js
var useForceUpdate = __webpack_require__(56762);
// EXTERNAL MODULE: ./node_modules/_antd@5.9.0@antd/es/_util/reactNode.js
var reactNode = __webpack_require__(92343);
// EXTERNAL MODULE: ./node_modules/_classnames@2.5.1@classnames/index.js
var _classnames_2_5_1_classnames = __webpack_require__(92310);
var _classnames_2_5_1_classnames_default = /*#__PURE__*/__webpack_require__.n(_classnames_2_5_1_classnames);
// EXTERNAL MODULE: ./node_modules/_antd@5.9.0@antd/es/config-provider/context.js
var context = __webpack_require__(36355);
// EXTERNAL MODULE: ./node_modules/_antd@5.9.0@antd/es/skeleton/index.js + 12 modules
var skeleton = __webpack_require__(56511);
;// CONCATENATED MODULE: ./node_modules/_antd@5.9.0@antd/es/statistic/Number.js
"use client";


const StatisticNumber = props => {
  const {
    value,
    formatter,
    precision,
    decimalSeparator,
    groupSeparator = '',
    prefixCls
  } = props;
  let valueNode;
  if (typeof formatter === 'function') {
    // Customize formatter
    valueNode = formatter(value);
  } else {
    // Internal formatter
    const val = String(value);
    const cells = val.match(/^(-?)(\d*)(\.(\d+))?$/);
    // Process if illegal number
    if (!cells || val === '-') {
      valueNode = val;
    } else {
      const negative = cells[1];
      let int = cells[2] || '0';
      let decimal = cells[4] || '';
      int = int.replace(/\B(?=(\d{3})+(?!\d))/g, groupSeparator);
      if (typeof precision === 'number') {
        decimal = decimal.padEnd(precision, '0').slice(0, precision > 0 ? precision : 0);
      }
      if (decimal) {
        decimal = `${decimalSeparator}${decimal}`;
      }
      valueNode = [/*#__PURE__*/_react_17_0_2_react.createElement("span", {
        key: "int",
        className: `${prefixCls}-content-value-int`
      }, negative, int), decimal && /*#__PURE__*/_react_17_0_2_react.createElement("span", {
        key: "decimal",
        className: `${prefixCls}-content-value-decimal`
      }, decimal)];
    }
  }
  return /*#__PURE__*/_react_17_0_2_react.createElement("span", {
    className: `${prefixCls}-content-value`
  }, valueNode);
};
/* harmony default export */ var statistic_Number = (StatisticNumber);
// EXTERNAL MODULE: ./node_modules/_antd@5.9.0@antd/es/style/index.js
var style = __webpack_require__(17313);
// EXTERNAL MODULE: ./node_modules/_antd@5.9.0@antd/es/theme/util/genComponentStyleHook.js
var genComponentStyleHook = __webpack_require__(83116);
// EXTERNAL MODULE: ./node_modules/_antd@5.9.0@antd/es/theme/util/statistic.js
var statistic = __webpack_require__(37613);
;// CONCATENATED MODULE: ./node_modules/_antd@5.9.0@antd/es/statistic/style/index.js
"use client";



const genStatisticStyle = token => {
  const {
    componentCls,
    marginXXS,
    padding,
    colorTextDescription,
    titleFontSize,
    colorTextHeading,
    contentFontSize,
    fontFamily
  } = token;
  return {
    [`${componentCls}`]: Object.assign(Object.assign({}, (0,style/* resetComponent */.Wf)(token)), {
      [`${componentCls}-title`]: {
        marginBottom: marginXXS,
        color: colorTextDescription,
        fontSize: titleFontSize
      },
      [`${componentCls}-skeleton`]: {
        paddingTop: padding
      },
      [`${componentCls}-content`]: {
        color: colorTextHeading,
        fontSize: contentFontSize,
        fontFamily,
        [`${componentCls}-content-value`]: {
          display: 'inline-block',
          direction: 'ltr'
        },
        [`${componentCls}-content-prefix, ${componentCls}-content-suffix`]: {
          display: 'inline-block'
        },
        [`${componentCls}-content-prefix`]: {
          marginInlineEnd: marginXXS
        },
        [`${componentCls}-content-suffix`]: {
          marginInlineStart: marginXXS
        }
      }
    })
  };
};
// ============================== Export ==============================
/* harmony default export */ var statistic_style = ((0,genComponentStyleHook/* default */.Z)('Statistic', token => {
  const statisticToken = (0,statistic/* merge */.TS)(token, {});
  return [genStatisticStyle(statisticToken)];
}, token => {
  const {
    fontSizeHeading3,
    fontSize
  } = token;
  return {
    titleFontSize: fontSize,
    contentFontSize: fontSizeHeading3
  };
}));
;// CONCATENATED MODULE: ./node_modules/_antd@5.9.0@antd/es/statistic/Statistic.js
"use client";







const Statistic = props => {
  const {
    prefixCls: customizePrefixCls,
    className,
    rootClassName,
    style,
    valueStyle,
    value = 0,
    title,
    valueRender,
    prefix,
    suffix,
    loading = false,
    onMouseEnter,
    onMouseLeave,
    decimalSeparator = '.',
    groupSeparator = ','
  } = props;
  const {
    getPrefixCls,
    direction,
    statistic
  } = _react_17_0_2_react.useContext(context/* ConfigContext */.E_);
  const prefixCls = getPrefixCls('statistic', customizePrefixCls);
  const [wrapSSR, hashId] = statistic_style(prefixCls);
  const valueNode = /*#__PURE__*/_react_17_0_2_react.createElement(statistic_Number, Object.assign({
    decimalSeparator: decimalSeparator,
    groupSeparator: groupSeparator,
    prefixCls: prefixCls
  }, props, {
    value: value
  }));
  const cls = _classnames_2_5_1_classnames_default()(prefixCls, {
    [`${prefixCls}-rtl`]: direction === 'rtl'
  }, statistic === null || statistic === void 0 ? void 0 : statistic.className, className, rootClassName, hashId);
  return wrapSSR( /*#__PURE__*/_react_17_0_2_react.createElement("div", {
    className: cls,
    style: Object.assign(Object.assign({}, statistic === null || statistic === void 0 ? void 0 : statistic.style), style),
    onMouseEnter: onMouseEnter,
    onMouseLeave: onMouseLeave
  }, title && /*#__PURE__*/_react_17_0_2_react.createElement("div", {
    className: `${prefixCls}-title`
  }, title), /*#__PURE__*/_react_17_0_2_react.createElement(skeleton/* default */.Z, {
    paragraph: false,
    loading: loading,
    className: `${prefixCls}-skeleton`
  }, /*#__PURE__*/_react_17_0_2_react.createElement("div", {
    style: valueStyle,
    className: `${prefixCls}-content`
  }, prefix && /*#__PURE__*/_react_17_0_2_react.createElement("span", {
    className: `${prefixCls}-content-prefix`
  }, prefix), valueRender ? valueRender(valueNode) : valueNode, suffix && /*#__PURE__*/_react_17_0_2_react.createElement("span", {
    className: `${prefixCls}-content-suffix`
  }, suffix)))));
};
if (false) {}
/* harmony default export */ var statistic_Statistic = (Statistic);
;// CONCATENATED MODULE: ./node_modules/_antd@5.9.0@antd/es/statistic/utils.js
// Countdown
const timeUnits = [['Y', 1000 * 60 * 60 * 24 * 365], ['M', 1000 * 60 * 60 * 24 * 30], ['D', 1000 * 60 * 60 * 24], ['H', 1000 * 60 * 60], ['m', 1000 * 60], ['s', 1000], ['S', 1] // million seconds
];

function formatTimeStr(duration, format) {
  let leftDuration = duration;
  const escapeRegex = /\[[^\]]*]/g;
  const keepList = (format.match(escapeRegex) || []).map(str => str.slice(1, -1));
  const templateText = format.replace(escapeRegex, '[]');
  const replacedText = timeUnits.reduce((current, _ref) => {
    let [name, unit] = _ref;
    if (current.includes(name)) {
      const value = Math.floor(leftDuration / unit);
      leftDuration -= value * unit;
      return current.replace(new RegExp(`${name}+`, 'g'), match => {
        const len = match.length;
        return value.toString().padStart(len, '0');
      });
    }
    return current;
  }, templateText);
  let index = 0;
  return replacedText.replace(escapeRegex, () => {
    const match = keepList[index];
    index += 1;
    return match;
  });
}
function formatCountdown(value, config) {
  const {
    format = ''
  } = config;
  const target = new Date(value).getTime();
  const current = Date.now();
  const diff = Math.max(target - current, 0);
  return formatTimeStr(diff, format);
}
;// CONCATENATED MODULE: ./node_modules/_antd@5.9.0@antd/es/statistic/Countdown.js
"use client";






const REFRESH_INTERVAL = 1000 / 30;
function getTime(value) {
  return new Date(value).getTime();
}
const Countdown = props => {
  const {
    value,
    format = 'HH:mm:ss',
    onChange,
    onFinish
  } = props;
  const forceUpdate = (0,useForceUpdate/* default */.Z)();
  const countdown = _react_17_0_2_react.useRef(null);
  const stopTimer = () => {
    onFinish === null || onFinish === void 0 ? void 0 : onFinish();
    if (countdown.current) {
      clearInterval(countdown.current);
      countdown.current = null;
    }
  };
  const syncTimer = () => {
    const timestamp = getTime(value);
    if (timestamp >= Date.now()) {
      countdown.current = setInterval(() => {
        forceUpdate();
        onChange === null || onChange === void 0 ? void 0 : onChange(timestamp - Date.now());
        if (timestamp < Date.now()) {
          stopTimer();
        }
      }, REFRESH_INTERVAL);
    }
  };
  _react_17_0_2_react.useEffect(() => {
    syncTimer();
    return () => {
      if (countdown.current) {
        clearInterval(countdown.current);
        countdown.current = null;
      }
    };
  }, [value]);
  const formatter = (formatValue, config) => formatCountdown(formatValue, Object.assign(Object.assign({}, config), {
    format
  }));
  const valueRender = node => (0,reactNode/* cloneElement */.Tm)(node, {
    title: undefined
  });
  return /*#__PURE__*/_react_17_0_2_react.createElement(statistic_Statistic, Object.assign({}, props, {
    valueRender: valueRender,
    formatter: formatter
  }));
};
/* harmony default export */ var statistic_Countdown = (/*#__PURE__*/_react_17_0_2_react.memo(Countdown));
;// CONCATENATED MODULE: ./node_modules/_antd@5.9.0@antd/es/statistic/index.js
"use client";



statistic_Statistic.Countdown = statistic_Countdown;
/* harmony default export */ var es_statistic = (statistic_Statistic);

/***/ }),

/***/ 31521:
/*!**************************************************************************************!*\
  !*** ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/index.js + 174 modules ***!
  \**************************************************************************************/
/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {


// EXPORTS
__webpack_require__.d(__webpack_exports__, {
  zi: function() { return /* reexport */ FaceMatcher; },
  aK: function() { return /* reexport */ TinyFaceDetectorOptions; },
  bd: function() { return /* reexport */ detectSingleFace; },
  ii: function() { return /* reexport */ draw_namespaceObject; },
  yW: function() { return /* reexport */ getMediaDimensions_getMediaDimensions; },
  W6: function() { return /* reexport */ loadFaceLandmarkModel; },
  Qk: function() { return /* reexport */ loadFaceRecognitionModel; },
  z2: function() { return /* reexport */ loadTinyFaceDetectorModel; },
  qB: function() { return /* reexport */ nets; },
  _C: function() { return /* reexport */ resizeResults; }
});

// UNUSED EXPORTS: AgeGenderNet, BoundingBox, Box, ComposableTask, ComputeAllFaceDescriptorsTask, ComputeFaceDescriptorsTaskBase, ComputeSingleFaceDescriptorTask, DetectAllFaceLandmarksTask, DetectAllFacesTask, DetectFaceLandmarksTaskBase, DetectFacesTaskBase, DetectSingleFaceLandmarksTask, DetectSingleFaceTask, Dimensions, FACE_EXPRESSION_LABELS, FaceDetection, FaceDetectionNet, FaceExpressionNet, FaceExpressions, FaceLandmark68Net, FaceLandmark68TinyNet, FaceLandmarkNet, FaceLandmarks, FaceLandmarks5, FaceLandmarks68, FaceMatch, FaceRecognitionNet, Gender, LabeledBox, LabeledFaceDescriptors, Mtcnn, MtcnnOptions, NetInput, NeuralNetwork, ObjectDetection, Point, PredictedBox, Rect, SsdMobilenetv1, SsdMobilenetv1Options, TinyFaceDetector, TinyYolov2, TinyYolov2Options, TinyYolov2SizeType, allFaces, allFacesMtcnn, allFacesSsdMobilenetv1, allFacesTinyYolov2, awaitMediaLoaded, bufferToImage, computeFaceDescriptor, createCanvas, createCanvasFromMedia, createFaceDetectionNet, createFaceRecognitionNet, createMtcnn, createSsdMobilenetv1, createTinyFaceDetector, createTinyYolov2, detectAllFaces, detectFaceLandmarks, detectFaceLandmarksTiny, detectLandmarks, env, euclideanDistance, extendWithAge, extendWithFaceDescriptor, extendWithFaceDetection, extendWithFaceExpressions, extendWithFaceLandmarks, extendWithGender, extractFaceTensors, extractFaces, fetchImage, fetchJson, fetchNetWeights, fetchOrThrow, getContext2dOrThrow, imageTensorToCanvas, imageToSquare, inverseSigmoid, iou, isMediaElement, isMediaLoaded, isWithAge, isWithFaceDetection, isWithFaceExpressions, isWithFaceLandmarks, isWithGender, loadAgeGenderModel, loadFaceDetectionModel, loadFaceExpressionModel, loadFaceLandmarkTinyModel, loadMtcnnModel, loadSsdMobilenetv1Model, loadTinyYolov2Model, loadWeightMap, locateFaces, matchDimensions, minBbox, mtcnn, nonMaxSuppression, normalize, padToSquare, predictAgeAndGender, recognizeFaceExpressions, resolveInput, shuffleArray, sigmoid, ssdMobilenetv1, tf, tinyFaceDetector, tinyYolov2, toNetInput, utils, validateConfig

// NAMESPACE OBJECT: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/draw/index.js
var draw_namespaceObject = {};
__webpack_require__.r(draw_namespaceObject);
__webpack_require__.d(draw_namespaceObject, {
  AnchorPosition: function() { return AnchorPosition; },
  DrawBox: function() { return DrawBox; },
  DrawBoxOptions: function() { return DrawBoxOptions; },
  DrawFaceLandmarks: function() { return DrawFaceLandmarks; },
  DrawFaceLandmarksOptions: function() { return DrawFaceLandmarksOptions; },
  DrawTextField: function() { return DrawTextField; },
  DrawTextFieldOptions: function() { return DrawTextFieldOptions; },
  drawContour: function() { return drawContour; },
  drawDetections: function() { return drawDetections; },
  drawFaceExpressions: function() { return drawFaceExpressions; },
  drawFaceLandmarks: function() { return drawFaceLandmarks; }
});

;// CONCATENATED MODULE: ./node_modules/_@tensorflow_tfjs-core@1.7.0@@tensorflow/tfjs-core/dist/tf-core.esm.js
/* provided dependency */ var process = __webpack_require__(/*! ./node_modules/_process@0.11.10@process/browser.js */ 97671);
/* provided dependency */ var Buffer = __webpack_require__(/*! buffer */ 19208)["lW"];
/**
 * @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.
 * =============================================================================
 */
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this.throwIfDisposed(),xt.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),xt.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),xt.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),xt.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),xt.spectral.irfft(this)},t}();Object.defineProperty(wt,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var Ct,Et,Rt,It,kt,St=function(t){function n(e,n,r,o){var a=t.call(this,e.shape,e.dtype,e.dataId,o)||this;return a.trainable=n,a.name=r,a}return e(n,t),n.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!S(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must 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t(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),Pt=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Bt}return t.prototype.ready=function(){return n(this,void 0,void 0,(function(){var t,e,n;return r(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return n(this,void 0,void 0,(function(){var e,n,o;return r(this,(function(r){switch(r.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return o=r.sent(),[3,3];case 2:o=n,r.label=3;case 3:if(!o)return[2,!1];r.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new ut(this.backendInstance),[2,!0]}}))}))},t.prototype.setupRegisteredKernels=function(){var t=this;f(this.backendName).forEach((function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)}))},t.prototype.disposeRegisteredKernels=function(t){var e=this;f(t).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])}))},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var o=++this.pendingBackendInitId,a=r.then((function(n){return!(o<e.pendingBackendInitId)&&(e.registry[t]=n,e.pendingBackendInit=null,!0)})).catch((function(n){return!(o<e.pendingBackendInitId)&&(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),!1)}));return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority}))},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),o=r.success,a=r.asyncInit;if(a||o)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,o=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,o,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(t,e){var n,r=this,o=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");o=t}return this.scopedRun((function(){return r.startScope(o)}),(function(){return r.endScope(n)}),(function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.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},t.prototype.runKernel=function(t,e,n,r,o){return this.runKernelFunc(null,e,null,t,n,r,o)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),o=0;n.forEach((function(t){o+="complex64"===t.dtype?3:1}));var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=r-e-o-a;if(i>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+i+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,o,a,i){var s,u=this;void 0===a&&(a=[]),void 0===i&&(i=[]);var c=[],h=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var f,d=function(t){h&&(c=t.map((function(t){return u.keep(u.clone(t))})))},p=this.state.numBytes,v=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var m,g=l(r,this.backendName);return f=null!=g?function(){var t=u.backend.numDataIds();m=g.kernelFunc({inputs:e,attrs:o,backend:u.backend});var n=Array.isArray(m)?m:[m];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n);var s=n.map((function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)})),c=s.filter((function(t,e){return i[e]}));return d((a||[]).slice().concat(c)),s}:function(){var e=u.backend.numDataIds();m=u.tidy((function(){return t(u.backend,d)}));var n=Array.isArray(m)?m:[m];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n),n},this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,e,(function(){return f()})):f()})),h&&this.addTapeNode(r,e,s,n,c),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-p,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-v,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map((function(t){return e[t].shape})),outputShapes:s.map((function(t){return t.shape}))}),Array.isArray(m)?s:s[0]},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var o=t;"string"===n&&H(t[0])&&(o=t.map((function(t){return rt(t)})));var a=r.write(o,e,n),i=new wt(e,n,a,this.nextTensorId());if(this.incRef(i,r),"string"===n){var s=this.state.tensorInfo.get(a),u=G(o);this.state.numBytes+=u-s.bytes,s.bytes=u}return i},t.prototype.makeTensorFromDataId=function(t,e,n,r){var o=new wt(e,n=n||"float32",t,this.nextTensorId());return this.incRef(o,r),o},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var o=new St(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[o.name])throw new Error("Variable with name "+o.name+" was already registered");return this.state.registeredVariables[o.name]=o,this.incRef(o,this.backend),o},t.prototype.incRef=function(t,e){var 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*z(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 St||this.track(t)},t.prototype.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--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.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},t.prototype.profile=function(t){return n(this,void 0,void 0,(function(){var e,n;return r(this,(function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(t){return t.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n,r,o){var a=this,i={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:o},s=h(t);null!=s&&(r=s.gradFunc),null!=r&&(i.gradient=function(t){return t=t.map((function(t,e){if(null==t){var r=n[e],o=tt(r.size,r.dtype);return a.makeTensor(o,r.shape,r.dtype)}return t})),r(t.length>1?t:t[0],o)}),this.state.activeTape.push(i)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=_t(t),r=new Set(n.map((function(t){return t.id}))),o=0;o<this.state.activeScope.track.length;o++){var a=this.state.activeScope.track[o];a.kept||r.has(a.id)||a.dispose()}var i=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(t){t.kept||t.scopeId!==i.id||e.track(t)}))},t.prototype.gradients=function(t,e,n,r){var o=this;if(void 0===r&&(r=!1),C(e.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '"+n.dtype+"'");var a=this.scopedRun((function(){return o.startTape()}),(function(){return o.endTape()}),(function(){return o.tidy("forward",t)}));C(a instanceof wt,(function(){return"The result y returned by f() must be a tensor."}));var i=function(t,e,n){for(var r={},o={},a=0;a<e.length;a++)r[e[a].id]=!0;for(a=0;a<t.length;a++){var i=(p=t[a]).inputs;for(var s in i){for(var u=i[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){p.outputs.forEach((function(t){return r[t.id]=!0})),c=!0,o[p.id]=!0;break}if(c)break}}var h={};h[n.id]=!0;var f={};for(a=t.length-1;a>=0;a--)for(i=(p=t[a]).inputs,l=0;l<p.outputs.length;l++)if(h[p.outputs[l].id]){for(var s in i)h[i[s].id]=!0,f[p.id]=!0;break}var d=[];for(a=0;a<t.length;a++){var p;if(o[(p=t[a]).id]&&f[p.id]){var v={};for(var s in p.inputs){var m=p.inputs[s];r[m.id]&&(v[s]=m)}var g=Object.assign({},p);g.inputs=v,g.outputs=p.outputs,d.push(g)}}return d}(this.state.activeTape,e,a);if(!r&&0===i.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var t,r,s={};s[a.id]=null==n?(t=a.shape,r=Z(k(t),"float32"),Lt.makeTensor(r,t,"float32")):n,function(t,e,n){for(var r=function(r){var o=e[r],a=[];if(o.outputs.forEach((function(e){var n=t[e.id];null!=n?a.push(n):a.push(null)})),null==o.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+o.kernelName+".");var i=o.gradient(a),s=function(e){if(!(e in i))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(i)+".");var r=n((function(){return i[e]()}));if("float32"!==r.dtype)throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=o.inputs[e];if(!S(r.shape,a.shape))throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input '"+e+"' has shape '"+r.shape+"', which does not match the shape of the input '"+a.shape+"'");if(null==t[a.id])t[a.id]=r;else{var s=t[a.id];t[a.id]=s.add(r),s.dispose()}};for(var u in o.inputs)s(u)},o=e.length-1;o>=0;o--)r(o)}(s,i,(function(t){return o.tidy(t)}));var u=e.map((function(t){return s[t.id]}));return 0===o.state.gradientDepth&&(o.state.activeTape.forEach((function(t){for(var e=0,n=t.saved;e<n.length;e++){n[e].dispose()}})),o.state.activeTape=null),{value:a,grads:u}}))},t.prototype.customGrad=function(t){var e=this;return C(X(t),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n,r=[],o=0;o<arguments.length;o++)r[o]=arguments[o];C(r.every((function(t){return t instanceof wt})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var a={};return r.forEach((function(t,e){a[e]=t})),e.runKernelFunc((function(e,o){return C((n=t.apply(void 0,r.concat([o]))).value instanceof wt,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),C(X(n.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),n.value}),a,(function(t,e){var o=n.gradFunc(t,e),a=Array.isArray(o)?o:[o];C(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(...)."})),C(a.every((function(t){return t instanceof wt})),(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 i={};return a.forEach((function(t,e){i[e]=function(){return t}})),i}))}},t.prototype.readSync=function(t){return this.state.tensorInfo.get(t).backend.readSync(t)},t.prototype.read=function(t){return this.state.tensorInfo.get(t).backend.read(t)},t.prototype.time=function(t){return n(this,void 0,void 0,(function(){var e,n;return r(this,(function(r){switch(r.label){case 0:return e=et(),[4,this.backend.time(t)];case 1:return(n=r.sent()).wallMs=et()-e,[2,n]}}))}))},t.prototype.track=function(t){return null!=this.state.activeScope&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t},Object.defineProperty(t.prototype,"registeredVariables",{get:function(){return this.state.registeredVariables},enumerable:!0,configurable:!0}),t.prototype.reset=function(){for(var t in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Bt,this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},t.nextTensorId=0,t.nextVariableId=0,t}();var Lt=function(){var t=function(){if(null==Ot){var t=void 0;if("undefined"!=typeof window)t=window;else if("undefined"!=typeof __webpack_require__.g)t=__webpack_require__.g;else if("undefined"!=typeof process)t=process;else{if("undefined"==typeof self)throw new Error("Could not find a global object");process=self}Ot=t}return Ot}();if(null==t._tfengine){var e=new o(t);t._tfengine=new Pt(e)}return function(t){s=t}(t._tfengine.ENV),yt=function(){return t._tfengine},t._tfengine}();function Wt(){return"undefined"!=typeof window&&null!=window.document||"undefined"!=typeof WorkerGlobalScope}var Ut=i();Ut.registerFlag("DEBUG",(function(){return!1}),(function(t){t&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")})),Ut.registerFlag("IS_BROWSER",(function(){return Wt()})),Ut.registerFlag("IS_NODE",(function(){return"undefined"!=typeof process&&void 0!==process.versions&&void 0!==process.versions.node})),Ut.registerFlag("IS_CHROME",(function(){return"undefined"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)})),Ut.registerFlag("PROD",(function(){return!1})),Ut.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",(function(){return Ut.getBool("DEBUG")})),Ut.registerFlag("DEPRECATION_WARNINGS_ENABLED",(function(){return!0})),Ut.registerFlag("IS_TEST",(function(){return!1}));var Vt,zt,Gt,Ht={},qt={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function Kt(t,e){Ht[t]=e}function jt(t){t in Ht||(Ht[t]=function(t){if(1!==t&&2!==t)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");var 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"+e[1]+" + coords.z;\n  }\n"}var ha="\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";function fa(t,e,n,r){var o=[];t.forEach((function(t){var e=k(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?o.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(o.push("uniform sampler2D "+t.name+";"),o.push("uniform int offset"+t.name+";"))}));var a,i,s=o.join("\n"),u=t.map((function(t){return function(t,e,n){void 0===n&&(n=!1);var r="";r+=n?pa(t):da(t);var o=t.shapeInfo.logicalShape,a=e.logicalShape;o.length<=a.length&&(r+=n?function(t,e){var n,r=t.name,o=r.charAt(0).toUpperCase()+r.slice(1),a="get"+o+"AtOutCoords",i=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=Co(t.shapeInfo.logicalShape,e.logicalShape),c=wa(s),l=s-i,h=["x","y","z","w","u","v"];n=0===i?"":s<2&&u.length>=1?"coords = 0;":u.map((function(t){return"coords."+h[t+l]+" = 0;"})).join("\n");var f="";f=s<2&&i>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+h[e+l]})).join(", ");var d="return outputValue;",p=1===k(t.shapeInfo.logicalShape),v=1===k(e.logicalShape);if(1!==i||p||v){if(p&&!v)d=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var m=i-2,g=i-1;u.indexOf(m)>-1&&u.indexOf(g)>-1?d="return vec4(outputValue.x);":u.indexOf(m)>-1?d="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(g)>-1&&(d="return vec4(outputValue.xx, outputValue.zz);")}}else d="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+a+"() {\n      "+c+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+o+"("+f+");\n      "+d+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),o="get"+r+"AtOutCoords",a=e.texShape,i=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&S(i,a))return"\n      float "+o+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var c,l=wa(u),h=Co(t.shapeInfo.logicalShape,e.logicalShape),f=u-s,d=["x","y","z","w","u","v"];c=0===s?"":u<2&&h.length>=1?"coords = 0;":h.map((function(t){return"coords."+d[t+f]+" = 0;"})).join("\n");var p="";p=u<2&&s>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+d[e+f]})).join(", ");return"\n    float "+o+"() {\n      "+l+" coords = getOutputCoords();\n      "+c+"\n      return get"+r+"("+p+");\n    }\n  "}(t,e));return r}(t,e,r)})).join("\n"),c=e.texShape,l=ua(),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    "+va+"\n    "+ma+"\n    "+ga+"\n  "}(l);return e.isPacked?(a=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(S(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,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Math.ceil(n[2]/2),i=a*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+o[0]+", "+o[1]+"));\n      int index = resTexRC.x * "+o[1]+" + resTexRC.y;\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";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),o=r*Math.ceil(t[t.length-2]/2),a=o,i="",s="b, r, c",u=2;u<t.length-1;u++)a*=t[t.length-u-1],i="\n      int b"+u+" = index / "+a+";\n      index -= b"+u+" * "+a+";\n    "+i,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      "+i+"\n\n      int b = index / "+o+";\n      index -= b * "+o+";\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,o,a,i}(e.logicalShape,c),i=function(t){return"\n    void setOutput(vec4 val) {\n      "+t.output+" = val;\n    }\n  "}(l)):(a=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(S(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=ca(["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=ca(["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=ca(["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=ca(["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),i=function(t){return"\n    void setOutput(float val) {\n      "+t.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),r&&(f+=ya),[f,h,i,s,a,u,n].join("\n")}function da(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,o=r[0],a=r[1];if(1===o&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=t.shapeInfo.texShape,s=i[0],u=i[1],c=xa(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        "+ba(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===a&&1===o)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=xa(e);if(1===a)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+i+") + 0.5) / "+o+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ";if(1===o)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+i+") + 0.5) / "+a+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ";return"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+o+", "+a+", index + "+i+");\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),o=t.shapeInfo.texShape;if(null!=o&&S(e,o)){var a=o[0],i=o[1];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var s=M(e),u=s.newShape,c=s.keptDims,l=u;if(l.length<e.length){var h=Ca(t,l);return"\n      "+da(h)+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+Ea(["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        "+ba(t)+"\n      }\n    ";var f=o[0],d=o[1],p=xa(n);if(1===d)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), 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, "+p+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+d+".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 + "+p+";\n    vec2 uv = uvFromFlat("+f+", "+d+", 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),o=e[1]*e[2],a=e[2],i=M(e),s=i.newShape,u=i.keptDims,c=s;if(c.length<e.length){var l=Ca(t,c);return"\n        "+da(l)+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+Ea(["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("+o+", "+a+", 1)));\n        "+ba(t)+"\n      }\n    ";var h=t.shapeInfo.texShape,f=h[0],d=h[1],p=t.shapeInfo.flatOffset;if(d===o&&null==p)return"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+a+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+d+".0, "+f+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ";if(d===a&&null==p)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("+d+".0, "+f+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";var v=xa(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 * "+o+" + col * "+a+" + depth + "+v+";\n        vec2 uv = uvFromFlat("+f+", "+d+", 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),o=e[3],a=e[2]*o,i=e[1]*a,s=M(e),u=s.newShape,c=s.keptDims;if(u.length<e.length){var l=Ca(t,u);return"\n      "+da(l)+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+Ea(["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("+i+", "+a+", "+o+", 1)));\n        "+ba(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,f=t.shapeInfo.texShape,d=f[0],p=f[1];if(p===i&&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("+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+p+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(p===o&&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("+p+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var v=xa(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 * "+i+" + col * "+a+" +\n          depth * "+o+" + depth2;\n      vec2 uv = uvFromFlat("+d+", "+p+", index + "+v+");\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),o=e[4],a=e[3]*o,i=e[2]*a,s=e[1]*i,u=M(e),c=u.newShape,l=u.keptDims;if(c.length<e.length){var h=Ca(t,c);return"\n      "+da(h)+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+Ea(["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+", "+i+", "+a+", "+o+")) +\n          depth3;\n        "+ba(t)+"\n      }\n    ";var f=t.shapeInfo.flatOffset,d=t.shapeInfo.texShape,p=d[0],v=d[1];if(v===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("+i+", "+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(v===o&&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("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var m=xa(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 * "+i+" + depth * "+a+" +\n          depth2 * "+o+" + depth3 + "+m+";\n      vec2 uv = uvFromFlat("+p+", "+v+", 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),o=M(e),a=o.newShape,i=o.keptDims;if(a.length<e.length){var s=Ca(t,a);return"\n      "+da(s)+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+Ea(["row","col","depth","depth2","depth3","depth4"],i)+");\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        "+ba(t)+"\n      }\n    ";var d=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,v=p[0],m=p[1];if(m===f&&null==d)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("+m+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(m===u&&null==d)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("+m+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var g=xa(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("+v+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function pa(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=ua(),"\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,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=ua();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+o[0]+", "+o[1]+", index);\n      return "+a.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),o=t.shapeInfo.texShape,a=o[0],i=o[1],s=ua();if(null!=o&&S(e,o))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(o[0]/2),Math.ceil(o[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),o=t.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(1===e[0]){var i=e.slice(1),s=Ca(t,i);return"\n        "+pa(s)+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+Ea(["b","row","col"],[1,2])+");\n        }\n      "}var u=a[0],c=a[1],l=Math.ceil(e[2]/2),h=l*Math.ceil(e[1]/2),f=ua();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,o="get"+r.charAt(0).toUpperCase()+r.slice(1),a=t.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=i[0],u=i[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)",d=2;d<n-1;d++)h="int b"+d+", "+h,l*=e[n-d-1],f="b"+d+" * "+l+" + "+f;var p=ua();return"\n    vec4 "+o+"("+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 "+p.texture2D+"("+r+", uv);\n    }\n  "}(t)}}var va="\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",ma="\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",ga="\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",ya="\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 xa(t){return"offset"+t}function ba(t){var e=t.name,n=k(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 wa(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 Ca(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function Ea(t,e){return e.map((function(e){return t[e]})).join(", ")}var Ra=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,C(t.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var o=t[t.length-1],a=Math.ceil(o/e);this.outputShape=t.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var i,s,u=this.outputShape,c=u.length,l=wa(c),h=sa("coords",c);if(1===a){var f=wa(s=c+1);i="\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,i="\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 d=["x","y","z","w","u","v"].slice(0,s),p="."+d[s-1],v=d.map((function(t){return"int "+t})),m=sa("sourceLocR",s-1).concat("inIdx.r"),g=sa("sourceLocG",s-1).concat("inIdx.g"),y=sa("sourceLocB",s-1).concat("inIdx.b"),x=sa("sourceLocA",s-1).concat("inIdx.a"),b="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+m.join()+"),\n                             getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+x.join()+")));",E="vec4(\n            getAChannel("+m.join()+"),\n            hasNextCol ? getAChannel("+g.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+x.join()+") : 0.)",R=r?"":"\n      float getBestIndicesAChannel("+v.join()+") {\n        return getChannel(getBestIndicesA("+d.join()+"),\n                                          vec2("+d.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+v.join()+") {\n        return getChannel(getA("+d.join()+"),\n                               vec2("+d.slice(-2).join()+"));\n      }\n      "+R+"\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        "+i+"\n        ivec4 srcIdx = ivec4(sourceLocR"+p+", sourceLocG"+p+",\n          sourceLocB"+p+", sourceLocA"+p+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+E+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+E+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+b+"(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    "},Ia=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=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 += "+a+") {\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+= "+i+") {\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(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ka=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,h=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=l-1-t.padInfo.front,p=h-1-t.padInfo.top,v=f-1-t.padInfo.left,m=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+d+", "+p+", "+v+");\n      const float avgMultiplier = float("+m+");\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) / "+o+".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) / "+a+".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) / "+i+".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    "},Sa=function(t,e,n,r,o,a){this.outputShape=[],this.variableNames=["x","mean","variance"],Ro(t,e),Ro(t,n);var i="0.0";null!=r&&(Ro(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="1.0";null!=o&&(Ro(t,o),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 = "+i+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+a+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},Aa=function(t,e,n,r,o,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Ro(t,e),Ro(t,n);var i="vec4(0.0)";null!=r&&(Ro(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=o&&(Ro(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+i+";\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("+a+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},Da="return areal * breal - aimag * bimag;",Ta="return areal * bimag + aimag * breal;",Na=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Ro(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    "},Fa="return a + b;",_a="return a - b;",Oa="return a * b;",Ma="return (a < 0.) ? b * a : a;",Ba=function(t,e,n){this.variableNames=["A","B"],this.outputShape=Ro(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    "},Pa="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",La=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=Ro(e,n);var o=this.outputShape.length,a="";if(r)if(0===o||1===k(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+wa(o)+" coords = getOutputCoords();\n        ",1===o)a+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var i=sa("coords",o);a+="\n            bool nextRowOutOfBounds =\n              ("+i[o-2]+" + 1) >= "+this.outputShape[o-2]+";\n            bool nextColOutOfBounds =\n              ("+i[o-1]+" + 1) >= "+this.outputShape[o-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        "+a+"\n\n        setOutput(result);\n      }\n    "},Wa=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,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Ua=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,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Va=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    "},za=function(t){this.outputShape=[],this.outputShape=Sn(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];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var o=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+o+"));")}var a=e.length,i=e[e.length-1];r.push("else setOutput(getT"+a+"(yR, yC-"+i+"));"),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    "},Ga=function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=Sn(t,e);var n=this.outputShape,r=n.length,o=wa(r),a=sa("coords",r),i=["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];var c=i[e],l=i.slice(-2),h=i.join(),f="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+h+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var d=s[u-1];f+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+Ha(i,c,d)+"),\n            vec2("+Ha(l,c,d)+"));\n        }"}var p=s.length,v=s[s.length-1];f+="\n        return getChannel(\n          getT"+p+"("+Ha(i,c,v)+"),\n          vec2("+Ha(l,c,v)+"));",this.userCode="\n      float getValue("+i.map((function(t){return"int "+t}))+") {\n        "+f+"\n      }\n\n      void main() {\n        "+o+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n\n        "+a[r-1]+" = "+a[r-1]+" + 1;\n        if ("+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n\n        "+a[r-2]+" = "+a[r-2]+" + 1;\n        if ("+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\n\n        "+a[r-1]+" = "+a[r-1]+" - 1;\n        if ("+a[r-2]+" < "+n[r-2]+" &&\n            "+a[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+a+");\n        }\n        setOutput(result);\n      }\n    "};function Ha(t,e,n){var r=t.indexOf(e);return t.map((function(t,e){return e===r?t+" - "+n:t})).join()}var qa=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a="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+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              if ("+a+") {\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    "},Ka=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a="channelsLast"===t.dataFormat,i=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+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) / "+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 = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n\n              if ("+a+") {\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    "},ja=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.padInfo.front,a=t.padInfo.top,i=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+" - "+o+";\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+" - "+a+";\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+" - "+i+";\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    "},Xa=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=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) / "+o+".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) / "+a+".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) / "+i+".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    "},Ya=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a=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 * "+a+" + 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+" - "+o+";\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    "},$a=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=e-1-t.padInfo.top,i=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+i+");\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) / "+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 = "+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    "},Qa=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 o=t.padInfo.top,a=t.padInfo.left,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterHeight,h=t.filterWidth,f=4*Math.floor(t.inChannels/4),d=t.inChannels%4,p="channelsLast"===t.dataFormat,v=p?1:2,m=p?2:3,g=p?3:1,y="",x="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",x="result = activation(result);");var b=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+o+", "+a+");\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["+v+"], coords["+m+"]) * 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 ("+p+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===d)+") {\n\n              if ("+p+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+f+") *\n                    getW(wR, wC, "+f+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+f+", xR, xC) *\n                    getW(wR, wC, "+f+", d2);\n              }\n\n            } else if ("+(2===d)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2)\n              );\n\n              if ("+p+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===d)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2),\n                getW(wR, wC, "+f+" + 2, d2)\n              );\n\n              if ("+p+") {\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        "+b+"\n        "+x+"\n        setOutput(result);\n      }\n    "},Ja=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,h=t.filterHeight,f=t.filterWidth,d=4*Math.floor(t.inChannels/4),p=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+o+", "+a+", "+i+");\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 < "+d+"; 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===p)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+d+") *\n                  getW(wF, wR, wC, "+d+", d2);\n              } else if ("+(2===p)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+d+"),\n                  getX(batch, xF, xR, xC, "+d+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+d+", d2),\n                  getW(wF, wR, wC, "+d+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===p)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+d+"),\n                  getX(batch, xF, xR, xC, "+d+" + 1),\n                  getX(batch, xF, xR, xC, "+d+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+d+", d2),\n                  getW(wF, wR, wC, "+d+" + 1, d2),\n                  getW(wF, wR, wC, "+d+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Za=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 o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,p=t.outChannels/t.inChannels,v="",m="";n&&(v=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",m="result = activation(result);");var g=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+v+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+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 / "+p+";\n        int q = d2 - d1 * "+p+";\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 >= "+o+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+d+"; wC++) {\n            int xC = xCCorner + wC * "+h+";\n\n            if (xC < 0 || xC >= "+a+") {\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        "+m+"\n        setOutput(result);\n      }\n    "},ti=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 o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,p=d,v="int xR; int xC; int xCOffset;",m=0;m<f;m++)for(var g=0;g<d;g++)v+="\n          vec4 xTexelR"+m+"C"+2*g+" = vec4(0.);\n          vec4 wR"+m+"C"+g+" = vec4(0.);\n          vec4 xR"+m+"C"+g+" = vec4(0.);";for(m=0;m<f;m++)for(var y=0;y<p;y++){if(v+="\n          xR = xRCorner + "+m*l+";\n          xC = xCCorner + "+(g=2*y)*h+";\n        ",1===c){if(g<d&&(v+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    xTexelR"+m+"C"+g+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\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 >= "+a+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+m+"C"+g+" = vec4(previous.zw, xTexelR"+m+"C"+g+".xy);\n                } else {\n                  xR"+m+"C"+g+" = vec4(0, 0, xTexelR"+m+"C"+g+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+o+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = xTexelR"+m+"C"+g+";\n              ",g+1<d)){var x=s%2==0?b(h):h;h%2==0&&s%2==1||h%2!=0&&s%2!=1?(v+="\n                  xCOffset = xC + "+s%2+" + "+x+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",h>1&&(v+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+o+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+m+"C"+g+" = vec4(0.);\n                    }\n                  "),v+="\n                  xR"+m+"C"+(g+1)+" = vec4(\n                    xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".xy);\n                "):v+="\n                  xCOffset = xC + "+x+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+m+"C"+(g+1)+" = xTexelR"+m+"C"+(g+2)+";\n                "}}else g<d&&(v+="\n              if(xR >= 0 && xR < "+o+") {\n            ",s%2==1?(v+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+m+"C"+(g+2)+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = vec4(\n                  xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".zw);\n              ",g+1<d&&(v+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+a+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+m+"C"+(g+1)+" = vec4(xTexelR"+m+"C"+(g+2)+".xy, final.xy);\n                ")):(v+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+m+"C"+(g+2)+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = vec4(\n                  xTexelR"+m+"C"+g+".xy, xTexelR"+m+"C"+(g+2)+".xy);\n              ",g+1<d&&(v+="\n                  xR"+m+"C"+(g+1)+" = vec4(\n                    xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".zw);\n                ")),v+="}");g<d&&(v+="\n            vec4 wTexelR"+m+"C"+g+" = getW("+m+", "+g+", d1, q);\n            wR"+m+"C"+g+" = vec4(wTexelR"+m+"C"+g+".xz, wTexelR"+m+"C"+g+".xz);\n          ",g+1<d&&(v+="\n              vec4 wTexelR"+m+"C"+(g+1)+" = getW("+m+", "+(g+1)+", d1, q);\n              wR"+m+"C"+(g+1)+" =\n                vec4(wTexelR"+m+"C"+(g+1)+".xz, wTexelR"+m+"C"+(g+1)+".xz);"))}for(m=0;m<f;m++)for(g=0;g<d;g++)v+="dotProd += xR"+m+"C"+g+" * wR"+m+"C"+g+";";var w="",C="";n&&(w=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",C="result = activation(result);");var E=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+w+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+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        "+v+"\n\n        vec4 result = dotProd;\n        "+E+"\n        "+C+"\n        setOutput(result);\n      }\n    "},ei=function(t,e,n,r,o){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=t[0],i=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,d=[i-1+".0",s-1+".0"],p=d[0],v=d[1],m=l>1?[""+(i-1)/(l-1),"(y2-y1) * height_ratio","y1*"+p+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+p],g=m[0],y=m[1],x=m[2],b=h>1?[""+(s-1)/(h-1),"(x2-x1) * width_ratio","x1*"+v+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+v],w=b[0],C=b[1],E=b[2];this.userCode="\n      const float height_ratio = float("+g+");\n      const float width_ratio = float("+w+");\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 >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+C+";\n\n        float in_y = "+x+";\n        if( in_y < 0.0 || in_y > "+p+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+v+" ) {\n          setOutput(float("+o+"));\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    "},ni=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,o=t[t.length-1],a=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+o+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+wa(r)+" coords = getOutputCoords();\n        int end = "+ri(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+o+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+a+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+ri(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 ri(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 oi=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Vt.DENSE;var e=Yt(t),n=ua();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ca(["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    "},ai=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Vt.DENSE;var e=Yt(t),n=ua();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ca(["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    "},ii=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  "}return t.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),si=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    "},ui=function(t){this.variableNames=["A"],this.outTexUsage=zt.DOWNLOAD;var e=ua();this.outputShape=t,this.userCode="\n      "+ha+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},ci=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=zt.DOWNLOAD;var e=ua();this.outputShape=t,this.userCode="\n      "+ha+"\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    "},li=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=ua(),o=e[0],a=e[1];this.outputShape=t;var i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode="\n      "+la(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 / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".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("+i+", 0., 0., 0.);\n      }\n    "},hi=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=ua(),o=e[0],a=e[1];this.outputShape=t;var i="",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;i+="\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 / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".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      "+la(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        "+i+"\n\n        "+r.output+" = "+s+";\n      }\n    "},fi="return real * expR - imag * expI;",di="return real * expI + imag * expR;",pi=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var o=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,a=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+o+";\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) / "+a+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},vi=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}(),mi=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var o=wa(this.rank),a=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"],o=[],a=0;a<t.length;a++)a===e?o.push("int(getIndices("+r[a]+"))"):o.push(""+r[a]);return o.join()}(t,n);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var gi=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=wa(e.length),o=wa(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+o+" 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 * "+a+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function yi(t,e){var n=ua();return oe(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 xi(t,e){return fe(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 bi(t,e){return de(t,e,new Uint16Array([0,1,2,2,1,3]))}function wi(t,e,n,r,o,a,i){ve(n,r);var s=pe(t,e),u=t.TEXTURE_2D;return Jt(t,e,(function(){return t.bindTexture(u,s)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)})),Jt(t,e,(function(){return t.texImage2D(u,0,o,n,r,0,a,i,null)})),Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)})),s}function Ci(t,e,n,r,o){var a=Xt(n,r);return wi(t,e,a[0],a[1],o.internalFormatFloat,o.textureFormatFloat,t.FLOAT)}function Ei(t,e,n,r,o){var a=Xt(n,r);return wi(t,e,a[0],a[1],o.internalFormatHalfFloat,o.textureFormatFloat,o.textureTypeHalfFloat)}function Ri(t,e,n,r,o){var a=Xt(n,r);return wi(t,e,a[0],a[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function Ii(t,e,n,r,o){var a=$t(n,r);return wi(t,e,a[0],a[1],o.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function ki(t,e,n,r,o){var a=$t(n,r);return wi(t,e,a[0],a[1],o.internalFormatPackedHalfFloat,t.RGBA,o.textureTypeHalfFloat)}function Si(t,e,n,r){return Jt(t,e,(function(){return t.bindBuffer(t.ARRAY_BUFFER,r)})),ge(t,e,n,"clipSpacePos",r,3,20,0)&&ge(t,e,n,"uv",r,2,20,12)}function Ai(t,e,n,r,o,a,i){var s,u,c;Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),a instanceof Uint8Array?(s=new Uint8Array(r*o*4),u=t.UNSIGNED_BYTE,c=t.RGBA):(s=new Float32Array(r*o*4),u=t.FLOAT,c=i.internalFormatPackedFloat),s.set(a),Jt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,c,r,o,0,t.RGBA,u,s)})),Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)}))}function Di(t,e,n,r){Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),r.data instanceof Uint8Array?Jt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,r.width,r.height,0,t.RGBA,t.UNSIGNED_BYTE,r.data)})):Jt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r)})),Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)}))}function Ti(t,e,n,r,o){var a=t.createBuffer();Jt(t,e,(function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,a)}));var i=16*n*r;return Jt(t,e,(function(){return t.bufferData(t.PIXEL_PACK_BUFFER,i,t.STREAM_READ)})),Jt(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,0)})),Jt(t,e,(function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,null)})),a}function Ni(t,e,n){var r=t,o=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,o),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),o}function Fi(t,e,n,r,o){var a=Xt(n,r),i=a[0],s=a[1],u=new Uint8Array(n*r*4);return Jt(t,e,(function(){return t.readPixels(0,0,i,s,o.downloadTextureFormat,t.UNSIGNED_BYTE,u)})),new Float32Array(u.buffer)}function _i(t,e,n,r,o,a,i,s){var u=t,c=new Float32Array(function(t,e){var n=$t(t,e);return n[0]*n[1]*4}(a,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function Oi(t,e,n,r){var o=new Float32Array(n*r*4);return Jt(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,o)})),o}var Mi=Object.freeze({createVertexShader:yi,createVertexBuffer:xi,createIndexBuffer:bi,createFloat32MatrixTexture:Ci,createFloat16MatrixTexture:Ei,createUnsignedBytesMatrixTexture:Ri,createPackedMatrixTexture:Ii,createFloat16PackedMatrixTexture:ki,bindVertexProgramAttributeStreams:Si,uploadDenseMatrixToTexture:Ai,uploadPixelDataToTexture:Di,createBufferFromOutputTexture:Ti,downloadFloat32MatrixFromBuffer:Ni,downloadByteEncodedFloatMatrixFromOutputTexture:Fi,downloadPackedMatrixFromBuffer:_i,downloadMatrixFromPackedOutputTexture:Oi}),Bi=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=i().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,Kt(e,t)):this.gl=jt(e);var n="WEBGL_color_buffer_float";if(1===i().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=re(this.gl,this.debug,"OES_texture_float"),Pe(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=re(this.gl,this.debug,"OES_texture_half_float");else if(i().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),Pe(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=re(this.gl,this.debug,"EXT_color_buffer_half_float");else if(i().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",Pe(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!Pe(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=xi(this.gl,this.debug),this.indexBuffer=bi(this.gl,this.debug),this.framebuffer=me(this.gl,this.debug),this.textureConfig=Qt(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(t.prototype,"debug",{get:function(){return i().getBool("DEBUG")},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var t=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;Jt(e,this.debug,(function(){return e.finish()})),Jt(e,this.debug,(function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)})),Jt(e,this.debug,(function(){return e.deleteFramebuffer(t.framebuffer)})),Jt(e,this.debug,(function(){return e.bindBuffer(e.ARRAY_BUFFER,null)})),Jt(e,this.debug,(function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)})),Jt(e,this.debug,(function(){return e.deleteBuffer(t.indexBuffer)})),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),Ci(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),Ei(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),Ri(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),Di(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),Ai(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),ki(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Ii(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(Ee(this.gl,this.debug,this.framebuffer),this.outputTexture=null),Jt(this.gl,this.debug,(function(){return e.gl.deleteTexture(t)}))},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return Fi(r.gl,r.debug,e,n,r.textureConfig)}))},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,o,a){return _i(this.gl,t,0,0,0,o,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return Ni(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=Ti(this.gl,this.debug,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(i().getBool("WEBGL_FENCE_API_ENABLED")){var o=t,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=o.clientWaitSync(a,0,0);return t===o.ALREADY_SIGNALED||t===o.CONDITION_SATISFIED},e=a}else i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return Oi(r.gl,r.debug,e,n)}))},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=ae(e,this.debug,t),r=yi(e,this.debug),o=ce(e,this.debug);return Jt(e,this.debug,(function(){return e.attachShader(o,r)})),Jt(e,this.debug,(function(){return e.attachShader(o,n)})),le(e,this.debug,o),this.debug&&he(e,this.debug,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=Si(e,this.debug,this.program,this.vertexBuffer)),o},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&Jt(this.gl,this.debug,(function(){return e.gl.deleteProgram(t)}))},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&he(this.gl,this.debug,this.program),Jt(this.gl,this.debug,(function(){return e.gl.useProgram(t)}))},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?xe(this.gl,this.debug,t,e):be(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),Jt(this.gl,this.debug,(function(){return n.gl.getAttribLocation(t,e)}))},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),we(this.gl,this.debug,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=$t(e,n),o=r[0],a=r[1];this.setOutputMatrixTextureDriver(t,o,a)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&he(this.gl,this.debug,this.program),Re(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),Jt(t,this.debug,(function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)}))},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),Jt(this.gl,this.debug,(function(){return t.gl.finish()}))},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=re(this.gl,this.debug,2===i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),o=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,o),o},t.prototype.endQuery=function(){if(2!==i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return n(this,void 0,void 0,(function(){var e=this;return r(this,(function(n){switch(n.label){case 0:return[4,F((function(){return e.disposed||e.isQueryAvailable(t,i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}))];case 1:return n.sent(),[2,this.getQueryTime(t,i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}}))}))},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),o=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint}o=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise((function(n){e.addItemToPoll((function(){return t.isFencePassed()}),(function(){return n()}))}))},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length;++e){if(!t[e]())break}return e-1}(this.itemsToPoll.map((function(t){return t.isDoneFn}))),e=0;e<=t;++e){(0,this.itemsToPoll[e].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||F((function(){return n.pollItems(),0===n.itemsToPoll.length}))},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),Ce(this.gl,this.debug,t,this.framebuffer),this.debug&&Re(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(Ce(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&Re(this.gl)):Ee(this.gl,this.debug,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;Ce(r,this.debug,t,this.framebuffer),this.debug&&Re(r),this.outputTexture=t,Jt(r,this.debug,(function(){return r.viewport(0,0,e,n)})),Jt(r,this.debug,(function(){return r.scissor(0,0,e,n)}))},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var o=this;this.throwIfDisposed(),Jt(this.gl,this.debug,(function(){return o.gl.scissor(t,e,n,r)}))},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function Pi(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach((function(t,n){var r=t.logicalShape,o=e[n],a=o.shape;if(!S(r,a))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+a+" must match");if(!t.isUniform||!o.isUniform){var i=t.texShape,s=o.isUniform?null:o.texData.texShape;if(!S(i,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+i+" and "+s+" must match")}}))}var Li=function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,o=n.inChannels,a=n.strideWidth,i=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,h=n.dataFormat,f=s.left,d=s.top,p=o*r,v=ua(),m="channelsLast"===h,g=m?0:1,y=m?1:2,x="",b=0;b<=1;b++)for(var w=0;w<=1;w++)x+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+b+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+i+" - "+d+";\n            d0 = offsetY + "+l+" * (pos / "+p+");\n\n            if(d0 < "+e[g]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+f+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+p+".) / "+o+".));\n\n              if(d1 < "+e[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+o+".));\n\n                if ("+m+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*b+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        "+x+"\n\n        "+v.output+" = result;\n      }\n    "},Wi=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[];var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",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 = -"+i+"; j <= "+i+"; 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 * "+a+";\n        setOutput(val);\n      }\n    "},Ui=function(t,e,n,r,o){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=o,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("+o+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+o+");\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    "},Vi=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",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 - "+i+";\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 = - "+i+"; j <= "+i+"; 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 * "+a+";\n        setOutput(result);\n      }\n    "},zi=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,o=t.effectiveFilterHeight,a=t.effectiveFilterWidth,i=o-1-t.padInfo.top,s=a-1-t.padInfo.left,u=o*a-1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+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 < "+o+";\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 < "+a+"; 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 * "+a+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Gi=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.dilationDepth,a=t.dilationHeight,i=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,d=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 += "+o+") {\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 += "+a+") {\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 += "+i+") {\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 = "+d+" -\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    "},Hi=function(t,e,n,r,o,a,i){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===a&&(a=null),void 0===i&&(i=!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"],d="",p="";a&&(d=i?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",p="result = activation(result);");var v=o?"result += getBiasAtOutCoords();":"";o&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+d+"\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        "+v+"\n\n        "+p+"\n\n        setOutput(result);\n      }\n    "},qi=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}(),Ki=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    "},ji=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=sa("rc",e),r=wa(e),o=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",o=t-2;o<t;o++)r+=n[o]+" >= "+e[o],o<t-1&&(r+="||");return r}(e,t,n),a=function(t,e,n,r){if(1===t)return"";var o=r.slice(-2);return"\n    int r = "+o[0]+";\n    int c = "+o[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),i=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var o=0;o<=1;o++){for(var a=(0===r?"r":"rp1")+", "+(0===o?"c":"cp1"),i=2;i<t;i++)a=e[e.length-1-i]+","+a;n.push(a)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"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("+o+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+i+"));\n          }\n        }\n      "}};var Xi=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,o=wa(r),a=e.map((function(t){return t[0]})).join(","),i=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      "+o+" start = "+o+"("+a+");\n      "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+o+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+a+";\n        int end = "+i+";\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      "},Yi=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,o=wa(r),a=e.map((function(t){return t[0]})).join(","),i=e.map((function(e,n){return e[0]+t[n]})).join(","),s=sa("rc",r),u=sa("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",h=[o+" 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))",d="",p=0,v=1===r?2:4;p<v;p++)d+="\n        "+h[p]+"\n        if ("+f+") {\n          result["+p+"] = float("+n+");\n        } else {\n          "+o+" source = rc - start;\n          result["+p+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";d+=1===r?"} ":"}}",this.userCode="\n      const "+o+" start = "+o+"("+a+");\n      const "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+d+"\n        setOutput(result);\n      }\n    "},$i=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,o=t.strideHeight,a=t.strideWidth,i=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=t.padInfo.top,h=t.padInfo.left;this.outputShape=t.outShape;var f="avg"===e,d="0.0";if(f||(d="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+o+", "+a+");\n        const ivec2 pads = ivec2("+l+", "+h+");\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 < "+u+";\n              wR += "+i+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+s+") {\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 = wR * "+c+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var p=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(p="avgValue / count");var v=4*Math.floor(r/4),m=r%4,g="\n      if ("+f+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+a+");\n      const ivec2 pads = ivec2("+l+", "+h+");\n      const float initializationValue = "+d+";\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("+d+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+i+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+v+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+g+"\n          }\n\n          int xC = xCCorner + "+v+";\n          if ("+(1===m)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+g+"\n          } else if ("+(2===m)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+g+"\n          } else if ("+(3===m)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              initializationValue\n            );\n\n            "+g+"\n          }\n        }\n        setOutput("+p+");\n      }\n    "}},Qi=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,h=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=t.padInfo.front,p=t.padInfo.top,v=t.padInfo.left;this.outputShape=t.outShape;var m="avg"===e,g="0.0";if(m||(g="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+o+", "+a+", "+i+");\n        const ivec3 pads = ivec3("+d+", "+p+", "+v+");\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 < "+l+";\n              wD += "+s+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+h+";\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 < "+f+";\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, 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 =\n                      wD * "+h+" * "+f+" +\n                      wR * "+f+" + wC;;\n                }\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 x=4*Math.floor(r/4),b=r%4,w="\n      if ("+m+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+o+", "+a+", "+i+");\n      const ivec3 pads = ivec3("+d+", "+p+", "+v+");\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 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("+g+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+h+";\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 < "+x+"; wC += 4) {\n              int xC = xCCorner + wC * "+c+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+c+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+c+", ch)\n              );\n\n              "+w+"\n            }\n\n            int xC = xCCorner + "+x+";\n            if ("+(1===b)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(2===b)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(3===b)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+c+", ch),\n                initializationValue\n              );\n\n              "+w+"\n            }\n          }\n          setOutput("+y+");\n        }\n      }\n    "}},Ji=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=Math.ceil(o/n);this.outputShape=[r,a];var i="0.0",s="";"prod"===e?i="1.0":"min"===e?(i="1.0 / 1e-20",s="min"):"max"===e&&(i="-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?(i="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&&(i="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 d="";o%n>0&&(d="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+i+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+d+"\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("+i+");\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    "},Zi=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var o="thisRC = rc;";r%2==1&&(o+="thisRC.z += 1;"),r>1&&(o+="thisRC.y += 1;"),n+="\n        "+o+"\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      "+ca(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+la(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 ts=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],f=c[1]/l[1],d=1/h,p=1/f,v=2*Math.ceil(d)+2,m=2*Math.ceil(p)+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("+d+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+m+");\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), "+(o-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},es=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],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("+a+".0, "+i+".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    "},ns=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],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("+a+".0, "+i+".0,\n                                     "+i+".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    "},rs=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],f=c[1]/l[1],d=1/h,p=1/f,v=2*Math.ceil(d)+2,m=2*Math.ceil(p)+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("+d+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+m+");\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("+o+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},os=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],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("+a+".0, "+i+".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    "},as=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(","),o=wa(n);this.userCode="\n      void main() {\n        "+o+" 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      "},is=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=sa("rc",n),o=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],i=wa(n);function s(n){var r=t.map((function(r,o){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(o,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("+o+"){\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          "+i+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(t){return s(t)}(r.slice())+";\n          if("+o+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+a+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+o+") {\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    "},ss=function(t,e,n,r,o,a,i){void 0===i&&(i=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=wa(o.length),u=wa(a.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+")",d=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+o+");\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 * "+d+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+f+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},us=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=t.numSegments,i=a*Math.ceil(o/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";o%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      ");var h="";o%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+o+") {\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          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\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    "},cs=function(t,e,n){var r,o;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)o="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],s=[],u=0;u<e.length;u++)s.push(""+a[u]),u<t&&i.push(""+a[u]);r=i.join(),o=s.join()}var c=wa(n);this.userCode="\n      void main() {\n        "+c+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+o+"));\n        } else {\n          setOutput(getB("+o+"));\n        }\n      }\n    "},ls=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=wa(this.rank),r="uniform int start["+this.rank+"];",o=function(t){if(1===t)return"sourceLoc";if(t<=6)return hs.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."+hs[e]+" = start["+e+"] + coords."+hs[e]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+o+"));\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}(),hs=["x","y","z","w","u","v"];var fs=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=wa(this.rank),n=sa("coords",this.rank),r=sa("sourceLoc",this.rank),o=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",a="getChannel(getSource("+r.join()+"), "+o+")",i="\n      result.x = "+a+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+a+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+a+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+a+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map((function(t,e){return"start["+e+"]"})).join()+");":t.map((function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"})).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+i+"\n        "+s+"\n        setOutput(result);\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}(),ds=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,o=wa(n.length),a=wa(n.length),i="";if(1===r)i="coords * strides + begin";else{var s=0;i=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      "+o+" begin = "+o+"("+t+");\n      "+o+" strides = "+o+"("+e+");\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+i+"));\n      }\n    "},ps=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return t.prototype.acquireTexture=function(t,e,n){var r,o=vs(e,n),a=ms(t,o,n);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var i=this.freeTextures[a].shift();return this.usedTextures[a].push(i),i}return this.numUsedTextures++,this.log(),o===Gt.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Gt.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Gt.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Gt.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Gt.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var o=ms(e,vs(n,r),r);o in this.freeTextures||(this.freeTextures[o]=[]),this.freeTextures[o].push(t),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[o],i=a.indexOf(t);if(i<0)throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(i,1),this.log()}},t.prototype.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},t.prototype.getNumUsedTextures=function(){return this.numUsedTextures},t.prototype.getNumFreeTextures=function(){return this.numFreeTextures},t.prototype.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 e in this.usedTextures)this.usedTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function vs(t,e){if(t===zt.UPLOAD)return Gt.PACKED_2X2_FLOAT32;if(t===zt.RENDER||null==t)return function(t){return i().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?Gt.PACKED_2X2_FLOAT32:Gt.UNPACKED_FLOAT32:t?Gt.PACKED_2X2_FLOAT16:Gt.UNPACKED_FLOAT16}(e);if(t===zt.DOWNLOAD||t===zt.PIXELS)return Gt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function ms(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var gs=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 o=wa(this.rank),a=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=[],o=0;o<t.length;o++)r.push("imod("+n[o]+", "+t[o]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var ys=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 o=wa(this.rank),a=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),o=0;o<t.length;o++)r[t[o]]=n[o];return r.join()}(e);this.userCode="\n    void main() {\n      "+o+" resRC = getOutputCoords();\n      setOutput(getA("+a+"));\n    }\n    "};var xs=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.");var o=wa(this.rank),a=ia("rc",this.rank),i=new Array(this.rank);for(r=0;r<e.length;r++)i[e[r]]=a[r];var s="vec2("+i.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+i.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+o+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "},bs=1.7580993408473768,ws=1.0507009873554805,Cs=function(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      float unaryOperation(float x) {\n        "+e+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Es="if (isnan(x)) return x;",Rs="return x;",Is="return abs(x);",ks=Es+"\n  return (x < 0.0) ? 0.0 : x;\n",Ss=Es+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",As="return (x >= 0.0) ? x : (exp(x) - 1.0);",Ds="\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = "+bs+";\n  float scale = "+ws+";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n";var Ts="return -x;",Ns="return ceil(x);",Fs="return floor(x);",_s="return exp(x);",Os="return exp(x) - 1.0;",Ms=Es+"\n  return sin(x);\n",Bs=Es+"\n  return cos(x);\n",Ps=Es+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n",Ls=Es+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n",Ws=Es+"\n  return atan(x);\n",Us=Es+"return log(x + sqrt(x * x + 1.0));",Vs=Es+"\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));",zs=Es+"\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;",Gs="return x;",Hs="return x;",qs="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",Ks="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",js="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",Xs=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Ys=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=sa("rc",e),r=wa(e),o=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),a=n.slice(-2),i=e<=1?"rc":"vec2("+a.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+o+");\n\n        setOutput(getChannel(packedInput, "+i+"));\n      }\n    "},$s={};function Qs(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?Hs:Rs;if("relu"===t)return e?qs:ks;if("elu"===t)return e?js:As;if("relu6"===t)return e?Ks:Ss;if("prelu"===t)return e?Pa:Ma;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var Js=600;var Zs=function(t){function o(e){var n,r=t.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!i().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var o=jt(i().getNumber("WEBGL_VERSION"));r.binaryCache=(n=i().getNumber("WEBGL_VERSION"))in $s?$s[n]:($s[n]={},$s[n]),r.gpgpu=new Bi(o),r.canvas=o.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new ps(r.gpgpu),r.numMBBeforeWarning=null==i().global.screen?1024:i().global.screen.height*i().global.screen.width*window.devicePixelRatio*Js/1024/1024,r.texData=new xo(r,Lt),r}return e(o,t),o.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},o.prototype.write=function(t,e,n){if(i().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:zt.UPLOAD}),r},o.prototype.move=function(t,e,n,r){if(i().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:zt.UPLOAD})},o.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,o=e.complexTensors,a=e.slice,i=e.shape,s=e.isPacked;if(null!=a){var u=void 0;u=s?new Xs(i,Gs):new Cs(i,Gs);var c=this.runWebGLProgram(u,[{dataId:t,shape:i,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var h,f,d=null!=this.activeTimers;(d&&(h=et()),"complex64"===r)?f=Vo(o.real.dataSync(),o.imag.dataSync()):f=this.getValuesFromTexture(t);return d&&(this.downloadWaitMs+=et()-h),this.convertAndCacheOnCPU(t,f)},o.prototype.read=function(t){return n(this,void 0,void 0,(function(){var e,n,o,a,s,u,c,l,h,f,d,p,v,m,g,y,x,b,w,C,E,R;return r(this,(function(r){switch(r.label){case 0:if(this.pendingRead.has(t))return e=this.pendingRead.get(t),[2,new Promise((function(t){return e.push(t)}))];if(n=this.texData.get(t),o=n.values,a=n.shape,s=n.slice,u=n.dtype,c=n.complexTensors,l=n.isPacked,null!=s)return h=void 0,h=l?new Xs(a,Gs):new Cs(a,Gs),f=this.runWebGLProgram(h,[{dataId:t,shape:a,dtype:u}],u),d=this.read(f.dataId),this.disposeData(f.dataId),[2,d];if(null!=o)return[2,this.convertAndCacheOnCPU(t)];if(!i().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===i().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return p=null,"complex64"!==u&&i().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),m=this.texData.get(v.dataId),p=(R=this.gpgpu).createBufferFromTexture.apply(R,[m.texture].concat(Yt(a)))),this.pendingRead.set(t,[]),"complex64"===u?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:r.sent(),r.label=2;case 2:return"complex64"!==u?[3,4]:[4,Promise.all([c.real.data(),c.imag.data()])];case 3:return y=r.sent(),x=y[0],b=y[1],g=Vo(x,b),[3,5];case 4:null==p?g=this.getValuesFromTexture(t):(w=k(a),g=this.gpgpu.downloadFloat32MatrixFromBuffer(p,w)),r.label=5;case 5:return null!=v&&this.disposeData(v.dataId),C=this.convertAndCacheOnCPU(t,g),E=this.pendingRead.get(t),this.pendingRead.delete(t),E.forEach((function(t){return t(C)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,C]}}))}))},o.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!ee(n)){if(i().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},o.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,o=n.dtype,a=n.isPacked,s=k(r);if(i().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u=this.decode(t),c=this.texData.get(u.dataId),l=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[c.texture].concat(Yt(r))).subarray(0,s);return this.disposeData(u.dataId),l}var h=i().getBool("WEBGL_PACK")&&!0===a,f=h?Te(r):r,d=h?new ci(f):new ui(f),p=this.runWebGLProgram(d,[{shape:f,dtype:o,dataId:t}],"float32"),v=this.texData.get(p.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(v.texture,v.texShape[0],v.texShape[1]).subarray(0,s);return this.disposeData(p.dataId),m},o.prototype.time=function(t){return n(this,void 0,void 0,(function(){var e,n,o,a,s,u,c;return r(this,(function(r){switch(r.label){case 0:return e=this.activeTimers,n=[],o=!1,null==this.programTimersStack?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,t(),a=I(this.activeTimers.map((function(t){return t.query}))).filter((function(t){return null!=t})),s=I(this.activeTimers.map((function(t){return t.name}))).filter((function(t){return null!=t})),this.activeTimers=e,o&&(this.programTimersStack=null),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(a)]:[3,2];case 1:return c=r.sent(),u.kernelMs=w(c),u.getExtraProfileInfo=function(){return c.map((function(t,e){return{name:s[e],ms:t}})).map((function(t){return t.name+": "+t.ms})).join(", ")},[3,3];case 2:u.kernelMs={error:"WebGL query timers are not supported in this environment."},r.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}}))}))},o.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},o.prototype.startTimer=function(){return i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:et(),endMs:null}},o.prototype.endTimer=function(t){return i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=et(),t)},o.prototype.getQueryTime=function(t){return n(this,void 0,void 0,(function(){var e;return r(this,(function(n){return i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]}))}))},o.prototype.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)}}},o.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,o=e.texShape,a=e.usage,i=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(o,r),this.textureManager.releaseTexture(n,o,a,i)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},o.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},o.prototype.getDataInfo=function(t){return this.texData.get(t)},o.prototype.getCPUBackend=function(){return i().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Lt.findBackend("cpu")),this.cpuBackend):null},o.prototype.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&&t.size<e}))},o.prototype.getGPGPUContext=function(){return this.gpgpu},o.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Lt.keep(t.clone()),imag:Lt.keep(e.clone())},n},o.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},o.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},o.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===k(n))return Fn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,o=io(t.shape,e,n);if(r||!o){var a=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new fs(n):new ls(n),s=a.getCustomSetupFunc(e);return this.compileAndRun(a,[t],null,s)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},o.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),o=this.makeOutput(n,t.dtype),a=this.texData.get(o.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var i=so(e,t.strides);r.slice&&(i+=r.slice.flatOffset),a.slice={flatOffset:i,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(a.slice.origDataId)||1;return this.dataRefCount.set(a.slice.origDataId,s+1),o},o.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var o=ro(e,n,r);if(o.some((function(t){return 0===t})))return Fn([],o);var a=new ds(e,r,o);return this.compileAndRun(a,[t])},o.prototype.reverse=function(t,e){var n=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new is(t.shape,e):new as(t.shape,e);return this.compileAndRun(n,[t])},o.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map((function(t){return Tn(t)})),r=t.map((function(t){return Nn(t)}));return Dn(this.concat(n,e),this.concat(r,e))}if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>i().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var o=Math.floor(t.length/2),a=this.concat(t.slice(0,o),e),s=this.concat(t.slice(o),e);return this.concat([a,s],e)}if(i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var u=new Ga(t.map((function(t){return t.shape})),e);return this.compileAndRun(u,t)}var c=Sn(t.map((function(t){return t.shape})),e),l=t.map((function(t){return t.as2D(-1,k(t.shape.slice(e)))})),h=new za(l.map((function(t){return t.shape})));return this.compileAndRun(h,l).reshape(c)},o.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Ts,t.dtype);var e=new Cs(t.shape,Ts);return this.compileAndRun(e,[t])},o.prototype.batchMatMul=function(t,e,n,r){var o=n?t.shape[2]:t.shape[1],a=r?e.shape[1]:e.shape[2],i=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===o||1===a)&&i>1e3){n&&(t=t.transpose([0,2,1])),r&&(e=e.transpose([0,2,1]));var u=1===a?t:t.as3D(s,i,1),c=1===a?2:1,l=1===a?e.as3D(s,1,i):e;return this.multiply(u,l).sum(c,!0)}var h=Dt(t.dtype,e.dtype),f=new Hi(t.shape,[s,o,a],n,r);return this.compileAndRun(f,[t,e],h)},o.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],c=o?n.shape[1]:n.shape[2],l=e.shape[0],h=Dt(e.dtype,n.dtype),f=null!=a,d=null!=s,p=i?Qs(i,!0):null,v=new Hi(e.shape,[l,u,c],r,o,f,p,d),m=[e,n];return a&&m.push(a),s&&m.push(s),this.compileAndRun(v,m,h)},o.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),o=new Na(Da,t.shape,e.shape),a=new Na(Ta,t.shape,e.shape),s=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],u=this.compileAndRun(o,s),c=this.compileAndRun(a,s),l=this.complex(u,c);return u.dispose(),c.dispose(),l}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Oa,t.dtype);var h=new Ba(Oa,t.shape,e.shape);return this.compileAndRun(h,[t,e],t.dtype)},o.prototype.batchNormalization=function(t,e,n,r,o,a){var s=[t,e,n],u=null;null!=a&&(u=a.shape,s.push(a));var c=null;if(null!=o&&(c=o.shape,s.push(o)),i().getBool("WEBGL_PACK_NORMALIZATION")){var l=new Aa(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(l,s)}var h=new Sa(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(h,s)},o.prototype.localResponseNormalization4D=function(t,e,n,r,o){var a=i().getBool("WEBGL_PACK_NORMALIZATION")?new Vi(t.shape,e,n,r,o):new Wi(t.shape,e,n,r,o);return this.compileAndRun(a,[t])},o.prototype.LRNGrad=function(t,e,n,r,o,a,i){var s=new Ui(e.shape,r,o,a,i);return this.compileAndRun(s,[e,n,t])},o.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map((function(t){return ot(t)}));return ta(dr(t.shape,t.dtype,n),e)}var r=new gs(t.shape,e);return this.compileAndRun(r,[t])},o.prototype.pad=function(t,e,n){var r=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Yi(t.shape,e,n):new Xi(t.shape,e,n);return this.compileAndRun(r,[t])},o.prototype.transpose=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.transpose(t,e);var n=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new xs(t.shape,e):new ys(t.shape,e);return this.compileAndRun(n,[t])},o.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new mi(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},o.prototype.batchToSpaceND=function(t,e,n){C(t.rank<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=zr(t.shape,e,r),a=Gr(o.length,e.length),i=Hr(t.shape,e,r),s=qr(n,e.length),u=Kr(i,n,e.length);return t.reshape(o).transpose(a).reshape(i).slice(s,u)},o.prototype.spaceToBatchND=function(t,e,n){C(t.rank<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=zr(i.shape,e,r,!1),u=Gr(s.length,e.length,!1),c=Hr(i.shape,e,r,!1);return i.reshape(s).transpose(u).reshape(c)},o.prototype.reduce=function(t,e,n){var r=t.shape[0],o=t.shape[1],a=$r(o),i=new Ji({windowSize:a,inSize:o,batchSize:r},e),s=this.compileAndRun(i,[t],n);return 1===s.shape[1]?s:this.reduce(s,e,n)},o.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],o=t.shape[1];null!=n&&(r=n.shape[0],o=n.shape[1]);var a=$r(o),i=new aa({windowSize:a,inSize:o,batchSize:r},e,null==n),s=[t];null!=n&&s.push(n);var u=this.compileAndRun(i,s,"int32");return 1===u.shape[1]?u:this.argReduce(t,e,u)},o.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,o=$r(r[r.length-1]),a=new Ra(r,o,e,null==n),i=null==n?[t]:[t,n],s=this.compileAndRun(a,i,"int32");return s.rank===t.rank?this.argReducePacked(t,e,s):s},o.prototype.sum=function(t,e){Cn("sum",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o),i=Tt(t.dtype);return this.reduce(a,"sum",i).reshape(r)},o.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o),i=Tt(t.dtype);return this.reduce(a,"prod",i).reshape(r)},o.prototype.unsortedSegmentSum=function(t,e,n){var r=0,o=En([r],t.rank),a=t;null!=o&&(a=t.transpose(o),r=In(1,t.rank)[0]);var i=function(t,e,n){for(var r=[],o=t.length,a=0;a<o;a++)a!==e?r.push(t[a]):r.push(n);return r}(a.shape,r,n),s=k([a.shape[r]]),u=a.as2D(-1,s),c=Tt(t.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",e,c,n).reshape(i);return null!=o&&(l=l.transpose(Rn(o))),l},o.prototype.segOpCompute=function(t,e,n,r,o){var a=t.shape[0],i=t.shape[1],s=function(t,e){var n,r=!1;for(t<=Yr?(n=t,r=!0):n=Y(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=Y(t,n+1);return n}(i,o),u=new us({windowSize:s,inSize:i,batchSize:a,numSegments:o},e),c=this.compileAndRun(u,[t,n],r);return c.shape[1]===o?c:(n=Kn(0,o).tile([i/s]),this.segOpCompute(c,e,n,r,o))},o.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(Cn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!i().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var o=bn(t.shape,r),a=o[0],s=k(o[1]),u=t.as2D(-1,s);return this.argReduce(u,n).reshape(a)}return this.argReducePacked(t,n)},o.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},o.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},o.prototype.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 o=new ni(t.shape,n,r);return this.compileAndRun(o,[t])},o.prototype.equal=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Ba("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.notEqual=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Ba("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Ba("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.lessEqual=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Ba("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Ba("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.greaterEqual=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Ba("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.logicalNot=function(t){var e=new Cs(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},o.prototype.logicalAnd=function(t,e){if(i().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 Ba("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.logicalOr=function(t,e){if(i().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 Ba("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.select=function(t,e,n){var r=new cs(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],Dt(e.dtype,n.dtype))},o.prototype.where=function(t){dn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return na(t.shape,e)},o.prototype.topk=function(t,e,n){return ea(t.dataSync(),t.shape,t.dtype,e)},o.prototype.min=function(t,e){Cn("min",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"min",a.dtype).reshape(r)},o.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new La("\n  vec4 result = vec4(min(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 Ba("\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])},o.prototype.mod=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new La("\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 Ba("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);Cn("max",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"max",a.dtype).reshape(r)},o.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new La("\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 Ba("\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])},o.prototype.all=function(t,e){Cn("all",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"all",a.dtype).reshape(r)},o.prototype.any=function(t,e){Cn("any",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"any",a.dtype).reshape(r)},o.prototype.realDivide=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS")){return this.packedBinaryOp(t,e,"\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","float32",!0)}var n=new Ba("\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",t.shape,e.shape);return this.compileAndRun(n,[t,e],"float32")},o.prototype.floorDiv=function(t,e){if(i().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 Ba("\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")},o.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Fa);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=Dt(t.dtype,e.dtype);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Fa,n);var r=new Ba(Fa,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},o.prototype.packedUnaryOp=function(t,e,n){var r=new Xs(t.shape,e);return this.compileAndRun(r,[t],n)},o.prototype.packedBinaryOp=function(t,e,n,r,o){void 0===o&&(o=!1);var a=new La(n,t.shape,e.shape,o);return this.compileAndRun(a,[t,e],r)},o.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,o=this.texData.get(t.dataId),a=this.texData.get(e.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map((function(o){var a=o[0],i=o[1],s=r.makeComplexComponentTensorInfo(t,a),u=r.makeComplexComponentTensorInfo(e,i),c=new Ba(n,t.shape,e.shape);return r.compileAndRun(c,[s,u],Dt(a.dtype,i.dtype))})),s=i[0],u=i[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},o.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},o.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>i().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 o=t.map((function(t){return t.dtype})).reduce((function(t,e){return Dt(t,e)})),a=t.map((function(t){return t.shape})),s=i().getBool("WEBGL_PACK")?new oa(t[0].shape,a):new ra(t[0].shape,a);return this.compileAndRun(s,t,o)},o.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,_a);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=Dt(t.dtype,e.dtype);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,_a,t.dtype);var r=new Ba(_a,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},o.prototype.pow=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new La("\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 Ba("\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=Dt(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},o.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Ns,t.dtype);var e=new Cs(t.shape,Ns);return this.compileAndRun(e,[t])},o.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Fs,t.dtype);var e=new Cs(t.shape,Fs);return this.compileAndRun(e,[t])},o.prototype.sign=function(t){var e=new Cs(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},o.prototype.isNaN=function(t){var e=new Cs(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},o.prototype.isInf=function(t){var e=new Cs(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},o.prototype.isFinite=function(t){var e=new Cs(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},o.prototype.round=function(t){var e=new Cs(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])},o.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,_s,t.dtype);var e=new Cs(t.shape,_s);return this.compileAndRun(e,[t])},o.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Os,t.dtype);var e=new Cs(t.shape,Os);return this.compileAndRun(e,[t])},o.prototype.softmax=function(t,e){var n=O([e],t.shape),r=this.max(t,n),o=wn(r.shape,n),a=this.subtract(t,r.reshape(o)),i=this.exp(a),s=this.sum(i,n).reshape(o);return this.realDivide(i,s)},o.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(i().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 Cs(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},o.prototype.log1p=function(t){var e=new Cs(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},o.prototype.sqrt=function(t){var e=new Cs(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},o.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new Cs(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},o.prototype.reciprocal=function(t){var e=new Cs(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},o.prototype.relu=function(t){var e;return e=i().getBool("WEBGL_PACK")?new Xs(t.shape,qs):new Cs(t.shape,ks),this.compileAndRun(e,[t])},o.prototype.relu6=function(t){var e;return e=i().getBool("WEBGL_PACK")?new Xs(t.shape,Ks):new Cs(t.shape,Ss),this.compileAndRun(e,[t])},o.prototype.prelu=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new La(Pa,t.shape,e.shape):new Ba(Ma,t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.elu=function(t){if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,js,t.dtype);var e=new Cs(t.shape,As);return this.compileAndRun(e,[t])},o.prototype.eluDer=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new La("\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 Ba("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.selu=function(t){var e=new Cs(t.shape,Ds);return this.compileAndRun(e,[t])},o.prototype.int=function(t){var e=new Cs(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},o.prototype.clip=function(t,e,n){var r,o=(r=i().getBool("WEBGL_PACK_CLIP")?new Ua(t.shape):new Wa(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,o)},o.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Is,t.dtype);var e=new Cs(t.shape,Is);return this.compileAndRun(e,[t])},o.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new Va(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},o.prototype.sigmoid=function(t){var e=new Cs(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},o.prototype.softplus=function(t){var e=new Cs(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])},o.prototype.sin=function(t){var e=new Cs(t.shape,Ms);return this.compileAndRun(e,[t])},o.prototype.cos=function(t){var e=new Cs(t.shape,Bs);return this.compileAndRun(e,[t])},o.prototype.tan=function(t){var e=new Cs(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},o.prototype.asin=function(t){var e=new Cs(t.shape,Ps);return this.compileAndRun(e,[t])},o.prototype.acos=function(t){var e=new Cs(t.shape,Ls);return this.compileAndRun(e,[t])},o.prototype.atan=function(t){var e=new Cs(t.shape,Ws);return this.compileAndRun(e,[t])},o.prototype.atan2=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new La("\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 Ba("\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])},o.prototype.sinh=function(t){var e=new Cs(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},o.prototype.cosh=function(t){var e=new Cs(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},o.prototype.tanh=function(t){var e=new Cs(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])},o.prototype.asinh=function(t){var e=new Cs(t.shape,Us);return this.compileAndRun(e,[t])},o.prototype.acosh=function(t){var e=new Cs(t.shape,Vs);return this.compileAndRun(e,[t])},o.prototype.atanh=function(t){var e=new Cs(t.shape,zs);return this.compileAndRun(e,[t])},o.prototype.erf=function(t){var e=new Cs(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])},o.prototype.step=function(t,e){var n=new Cs(t.shape,function(t){return void 0===t&&(t=0),Es+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},o.prototype.conv2dByMatMul=function(t,e,n,r,o,a){var s=t.shape,u=this.texData.get(t.dataId),c=n.inChannels,l=s[0]*s[1]*s[2],h=n.outChannels,f="channelsLast"===n.dataFormat,d=(1===l||1===h)&&c>1e3,p=s[2]%2!=0&&!!u.isPacked;if(d||!i().getBool("WEBGL_LAZILY_UNPACK")||!i().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!p){var v=f?s[0]*s[1]*s[2]:s[0]*s[2]*s[3],m=this.reshape(t,[1,v,n.inChannels]),g=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:m,b:g,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),n.outShape)}var y=f?s[0]*s[1]*(s[2]+1):s[0]*s[2]*(s[3]+1),x={dataId:t.dataId,shape:[1,y,n.inChannels],dtype:t.dtype},b=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,C(_e(u.shape,x.shape),(function(){return"packed reshape "+u.shape+" to "+x.shape+" isn't free"}));var w=this.reshape(e,[1,n.inChannels,n.outChannels]),E=this.fusedBatchMatMul({a:x,b:w,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),R=this.texData.get(E.dataId);return C(R.isPacked,(function(){return"batchMatMul result is expected to be packed"})),u.shape=b,R.shape=n.outShape,Lt.makeTensorFromDataId(E.dataId,n.outShape,E.dtype)},o.prototype.conv2dWithIm2Row=function(t,e,n,r,o,a){var i=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,h="channelsLast"===n.dataFormat,f=i*s*u,d=l*c,p=[f,d],v=t.squeeze([0]),m=e.reshape([1,f,-1]),g=new Li(p,v.shape,n),y=this.compileAndRun(g,[v]).reshape([1,p[0],p[1]]),x=null!=r,b=null!=a,w=o?Qs(o,!0):null,C=new Hi(y.shape,[1,d,n.outChannels],!0,!1,x,w,b),E=[y,m];r&&E.push(r),b&&E.push(a);var R=this.compileAndRun(C,E);return h?R.reshape([1,l,c,n.outChannels]):R.reshape([1,n.outChannels,l,c])},o.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,s=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,o,a,s);if(i().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,o,a,s);var u=null!=o,c=null!=s,l=a?Qs(a,!1):null,h=new Qa(r,u,l,c),f=[e,n];return o&&f.push(o),s&&f.push(s),this.compileAndRun(h,f)},o.prototype.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(i().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new Qa(n);return this.compileAndRun(r,[t,e])},o.prototype.conv2dDerInput=function(t,e,n){var r=new Ka(n);return this.compileAndRun(r,[t,e])},o.prototype.conv2dDerFilter=function(t,e,n){var r=new qa(n);return this.compileAndRun(r,[t,e])},o.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,o=t.convInfo,a=t.bias,s=t.activation,u=t.preluActivationWeights,c=i().getBool("WEBGL_PACK_DEPTHWISECONV")&&o.strideWidth<=2&&o.outChannels/o.inChannels==1,l=s?Qs(s,c):null,h=[n,r],f=null!=a,d=null!=u;return f&&h.push(a),d&&h.push(u),c?(e=new ti(o,f,l,d),this.compileAndRun(e,h)):(e=new Za(o,f,l,d),this.compileAndRun(e,h))},o.prototype.depthwiseConv2D=function(t,e,n){var r;return i().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new ti(n),this.compileAndRun(r,[t,e])):(r=new Za(n),this.compileAndRun(r,[t,e]))},o.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new $a(n);return this.compileAndRun(r,[t,e])},o.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new Ya(n);return this.compileAndRun(r,[t,e])},o.prototype.conv3d=function(t,e,n){var r=new Ja(n);return this.compileAndRun(r,[t,e])},o.prototype.conv3dDerInput=function(t,e,n){var r=new Xa(n);return this.compileAndRun(r,[t,e])},o.prototype.conv3dDerFilter=function(t,e,n){var r=new ja(n);return this.compileAndRun(r,[t,e])},o.prototype.maxPool=function(t,e){var n=new $i(e,"max",!1);return this.compileAndRun(n,[t])},o.prototype.avgPool=function(t,e){var n=new $i(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},o.prototype.maxPoolBackprop=function(t,e,n,r){var o=new $i(r,"max",!0),a=this.compileAndRun(o,[e]),i=new zi(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},o.prototype.avgPoolBackprop=function(t,e,n){var r=new Ia(n);return this.compileAndRun(r,[t],e.dtype)},o.prototype.cast=function(t,e){return Po(t,e,this)},o.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),o=0,a=0;a<t.rank;a++)a!==e&&(r[o++]=t.shape[a]);var i=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(a=0;a<u.length;a++)i[e]=a,u[a]=this.slice(t,i,s).reshape(r);return u},o.prototype.avgPool3d=function(t,e){var n=new Qi(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},o.prototype.avgPool3dBackprop=function(t,e,n){var r=new ka(n);return this.compileAndRun(r,[t],e.dtype)},o.prototype.maxPool3d=function(t,e){var n=new Qi(e,"max",!1);return this.compileAndRun(n,[t],"float32")},o.prototype.maxPool3dBackprop=function(t,e,n,r){var o=new Qi(r,"max",!0),a=this.compileAndRun(o,[e]),i=new Gi(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},o.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!_e(t.shape,e)&&(null===n.texture||!_e(n.shape,e))){var r=this.packedReshape(t,e);return Lt.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return Lo(t,e)},o.prototype.resizeBilinear=function(t,e,n,r){var o=i().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new ns(t.shape,e,n,r):new es(t.shape,e,n,r);return this.compileAndRun(o,[t],"float32")},o.prototype.resizeBilinearBackprop=function(t,e,n){var r=new ts(t,e,n);return this.compileAndRun(r,[t])},o.prototype.resizeNearestNeighbor=function(t,e,n,r){var o=new os(t.shape,e,n,r);return this.compileAndRun(o,[t])},o.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new rs(t,e,n);return this.compileAndRun(r,[t])},o.prototype.multinomial=function(t,e,n,r){var o=e?t:go(t),a=o.shape[0],i=o.shape[1],s=new qi(a,i,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[o],"int32",u)},o.prototype.oneHot=function(t,e,n,r){var o=new Ki(t.size,e,n,r);return this.compileAndRun(o,[t])},o.prototype.diag=function(t){var e=new si(t.size);return this.compileAndRun(e,[t])},o.prototype.nonMaxSuppression=function(t,e,n,r,o){return dn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),jo(t.dataSync(),e.dataSync(),n,r,o)},o.prototype.cropAndResize=function(t,e,n,r,o,a){var i=new ei(t.shape,e.shape,r,o,a);return this.compileAndRun(i,[t,e,n],"float32")},o.prototype.depthToSpace=function(t,e,n){C(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));var r=t.shape[0],o="NHWC"===n?t.shape[1]:t.shape[2],a="NHWC"===n?t.shape[2]:t.shape[3],i="NHWC"===n?t.shape[3]:t.shape[1],s=o*e,u=a*e,c=i/(e*e),l=new ii("NHWC"===n?[r,s,u,c]:[r,c,s,u],e,n);return this.compileAndRun(l,[t])},o.prototype.split=function(t,e,n){return Zo(t,e,n)},o.prototype.scatterND=function(t,e,n){var r=Zr(0,t,n),o=r.sliceRank,a=r.numUpdates,i=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/i,i],l=t.reshape([a,o]),h=e.reshape([a,i]);if(0===u)return Lo(Fn([]),n);var f=On(0),d=new ss(a,o,l.rank,h.rank,s,c);return this.compileAndRun(d,[h,l,f]).reshape(n)},o.prototype.sparseToDense=function(t,e,n,r){var o=Zr(0,t,n),a=o.sliceRank,i=o.numUpdates,s=o.strides,u=o.outputSize,c=new ss(i,a,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)},o.prototype.fft=function(t){return this.fftImpl(t,!1)},o.prototype.ifft=function(t){return this.fftImpl(t,!0)},o.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new pi(fi,t.shape,e),o=new pi(di,t.shape,e),a=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag)],i=this.compileAndRun(r,a),s=this.compileAndRun(o,a),u=this.complex(i,s).as2D(t.shape[0],t.shape[1]);return i.dispose(),s.dispose(),u},o.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=jr(t,e),a=o[0],i=o[1],s=o[2],u=o[3],c=e.reshape([i,r]),l=t.reshape([t.size/s,s]),h=new gi(r,u,[i,s]);return this.compileAndRun(h,[l,c]).reshape(a)},o.prototype.fill=function(t,e,n){if("string"===(n=n||j(e))){var r=P(n,k(t));return r.fill(e),Lt.makeTensor(r,t,n,this)}var o=new vi(t,e),a=o.getCustomSetupFunc(e);return this.compileAndRun(o,[],n,a)},o.prototype.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)},o.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},o.prototype.linspace=function(t,e,n){return Wo(t,e,n)},o.prototype.makeTensorInfo=function(t,e){var n=this.write(null,t,e);return this.texData.get(n).usage=null,{dataId:n,shape:t,dtype:e}},o.prototype.makeOutput=function(t,e){var n=this.makeTensorInfo(t,e).dataId;return Lt.makeTensorFromDataId(n,t,e,this)},o.prototype.unpackTensor=function(t){var e=new Ys(t.shape);return this.runWebGLProgram(e,[t],t.dtype)},o.prototype.packTensor=function(t){var e=new ji(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)},o.prototype.packedReshape=function(t,e){var n=[Ae(t.shape)].concat(De(t.shape)),r={dtype:t.dtype,shape:n,dataId:t.dataId},o=[Ae(e)].concat(De(e)),a=new Zi(o,n),i=this.runWebGLProgram(a,[r],t.dtype,null,!0);return{dataId:i.dataId,shape:e,dtype:i.dtype}},o.prototype.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,o=n.shape,a=n.dtype,i=Te(o);e=r?new ai(i):new oi(i);return{dtype:a,shape:o,dataId:this.runWebGLProgram(e,[{shape:i,dtype:a,dataId:t}],a,null,!0).dataId}},o.prototype.runWebGLProgram=function(t,e,n,r,o){var a=this;void 0===o&&(o=!1);var s=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(s.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===Vt.DENSE){var c=Yt(t.outputShape);u.texShape=c.map((function(t){return 2*t}))}if(null!=t.outTexUsage&&(u.usage=t.outTexUsage),0===k(s.shape))return u.values=B(s.dtype,0),s;var l=[],h=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=a.texData.get(e.dataId);if(null==n.texture){if(!t.packedInputs&&k(e.shape)<=i().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?a.unpackTensor(e):a.packTensor(e),l.push(e),n=a.texData.get(e.dataId);else if(n.isPacked&&!_e(n.shape,e.shape)){var r=e,o=e.shape;e.shape=n.shape,e=a.packedReshape(e,o),l.push(e),n=a.texData.get(e.dataId),r.shape=o}return a.uploadToGPU(e.dataId),{shape:e.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var f,d={shape:s.shape,texData:u,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 o=t.userCode,a=t.constructor.name;return a+="_"+r+"_"+o}(t,h,d),v=this.getAndSaveBinary(p,(function(){return function(t,e,n,r){var o=e.userCode,a=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}})),s=a.map((function(t){return t.shapeInfo})),u={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},c=fa(a,u,o,e.packedInputs),l=t.createProgram(c),h=null,f=t.getUniformLocation(l,"NAN",!1);1===i().getNumber("WEBGL_VERSION")&&(h=t.getUniformLocation(l,"INFINITY",!1));for(var d={},p=0;p<e.variableNames.length;p++){var v=e.variableNames[p];d[v]=t.getUniformLocation(l,v,!1),d["offset"+v]=t.getUniformLocation(l,"offset"+v,!1)}return{program:e,source:c,webGLProgram:l,uniformLocations:d,inShapeInfos:s,outShapeInfo:u,infLoc:h,nanLoc:f}}(a.gpgpu,t,h,d)})),m=null!=this.activeTimers;if(m&&(f=this.startTimer()),function(t,e,n,r,o){Pi(e.inShapeInfos,n),Pi([e.outShapeInfo],[r]);var a=r.texData.texture,s=r.texData.texShape;r.texData.isPacked?t.setOutputPackedMatrixTexture(a,s[0],s[1]):t.setOutputMatrixTexture(a,s[0],s[1]),t.setProgram(e.webGLProgram),1===i().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 o=e.program.variableNames[r],a=e.uniformLocations[o],i=e.uniformLocations["offset"+o];if(null!=a)if(n.isUniform)if(k(n.shape)<2)t.gl.uniform1f(a,n.uniformValues[0]);else{var s=n.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),t.gl.uniform1fv(a,s)}else null!=n.texData.slice&&null!=i&&t.gl.uniform1i(i,n.texData.slice.flatOffset),t.setInputMatrixTexture(n.texData.texture,a,r)})),null!=o&&o(t,e.webGLProgram),t.executeProgram()}(this.gpgpu,v,h,d,r),l.forEach((function(t){return a.disposeData(t.dataId)})),m&&(f=this.endTimer(f),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(f)})),!i().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===o){var g=this.unpackTensor(s);return this.disposeData(s.dataId),g}return s},o.prototype.compileAndRun=function(t,e,n,r,o){void 0===o&&(o=!1),n=n||e[0].dtype;var a=this.runWebGLProgram(t,e,n,r,o);return Lt.makeTensorFromDataId(a.dataId,a.shape,a.dtype)},o.prototype.getAndSaveBinary=function(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]},o.prototype.getTextureManager=function(){return this.textureManager},o.prototype.dispose=function(){var t=this;if(!this.disposed){if(!i().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}},o.prototype.floatPrecision=function(){var t=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=Ze((function(){if(!i().get("WEBGL_RENDER_FLOAT32_ENABLED")){var e=i().getBool("DEBUG");i().set("DEBUG",!1);var n=t.abs(On(1e-8)).dataSync()[0];if(i().set("DEBUG",e),n>0)return 32}return 16}))),this.floatPrecisionValue},o.prototype.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},o.prototype.uploadToGPU=function(t){var e,n=this.texData.get(t),r=n.shape,o=n.dtype,a=n.values,i=n.texture,s=n.usage,u=n.isPacked;if(null==i){var c,l=null!=this.activeTimers;l&&(c=et());var h=n.texShape;if(null==h&&(h=Ne(r,u),n.texShape=h),null!=a){var f=Te(r),d=void 0,p=h[1],v=h[0],m=a instanceof Uint8Array;u?(p=(e=$t(h[0],h[1]))[0],v=e[1],d=new hi(f,[v,p],m)):d=new li(f,[v,p],m);var g=this.makeTensorInfo([v,p],o);this.texData.get(g.dataId).usage=m?zt.PIXELS:zt.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(g.dataId),p,v,a);var y=this.runWebGLProgram(d,[g],o,null,!0),x=this.texData.get(y.dataId);n.texture=x.texture,n.texShape=x.texShape,n.isPacked=x.isPacked,n.usage=x.usage,this.disposeData(g.dataId),this.texData.delete(y.dataId),n.values=null,l&&(this.uploadWaitMs+=et()-c)}else{var b=this.acquireTexture(h,s,o,u);n.texture=b}}},o.prototype.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},o.prototype.acquireTexture=function(t,e,n,r){if(this.numBytesInGPU+=this.computeBytes(t,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var o=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+o+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(t,e,r)},o.prototype.computeBytes=function(t,e){return t[0]*t[1]*z(e)},o}(bo);Wt()&&Lt.registerBackend("webgl",(function(){return new Zs}),2);var tu=An({square_:function(t){var e=mn(t,"x","square"),n=[e];return Lt.runKernelFunc((function(t,n){return n([e]),t.square(e)}),{x:e},null,"Square",{},n,[])}}),eu="SquaredDifference";var nu=An({squaredDifference_:function(t,e){var n,r=mn(t,"a","squaredDifference"),o=mn(e,"b","squaredDifference");n=Nt(r,o),r=n[0],o=n[1],Ro(r.shape,o.shape);var a={a:r,b:o},i=[r,o];return Lt.runKernelFunc((function(t,e){var n=t.squaredDifference(r,o);return e([r,o]),n}),a,(function(t,e){var n=e[0],r=e[1],o=On(2);return{a:function(){return t.mul(n.sub(r).mul(o))},b:function(){return t.mul(r.sub(n).mul(o))}}}),eu,{},i,[])}});var ru=An({abs_:function(t){var e=mn(t,"x","abs");return"complex64"===e.dtype?Lt.runKernelFunc((function(t){return t.complexAbs(e)}),{$x:e}):Lt.runKernelFunc((function(t,n){var r=t.abs(e);return n([e]),r}),{x:e},(function(t,e){var n=e[0];return{x:function(){return t.mul(n.toFloat().step(-1))}}}),"Abs")}}),ou=An({acos_:function(t){var e=mn(t,"x","acos");return Lt.runKernelFunc((function(t,n){var r=t.acos(e);return n([e]),r}),{$x:e},(function(t,e){var n=e[0];return{$x:function(){return t.divStrict(On(1).sub(n.toFloat().square()).sqrt()).neg()}}}))}}),au=An({acosh_:function(t){var e=mn(t,"x","acosh");return Lt.runKernelFunc((function(t,n){var r=t.acosh(e);return n([e]),r}),{$x:e},(function(t,e){var n=e[0];return{$x:function(){return t.divStrict(n.toFloat().square().sub(1).sqrt())}}}))}}),iu=An({asin_:function(t){var e=mn(t,"x","asin");return Lt.runKernelFunc((function(t,n){var r=t.asin(e);return n([e]),r}),{$x:e},(function(t,e){var n=e[0];return{$x:function(){return t.divStrict(On(1).sub(n.toFloat().square()).sqrt())}}}))}}),su=An({asinh_:function(t){var e=mn(t,"x","asinh");return Lt.runKernelFunc((function(t,n){var r=t.asinh(e);return n([e]),r}),{$x:e},(function(t,e){var n=e[0];return{$x:function(){return t.divStrict(On(1).add(n.toFloat().square()).sqrt())}}}))}}),uu=An({atan_:function(t){var e=mn(t,"x","atan");return Lt.runKernelFunc((function(t,n){var r=t.atan(e);return n([e]),r}),{$x:e},(function(t,e){var n=e[0];return{$x:function(){return t.div(n.toFloat().square().add(1))}}}))}}),cu=An({atanh_:function(t){var e=mn(t,"x","atanh");return Lt.runKernelFunc((function(t,n){var r=t.atanh(e);return n([e]),r}),{$x:e},(function(t,e){var n=e[0];return{$x:function(){return 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a=t,i=e,s=!1;4===e.rank&&(s=!0,i=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]),a=[1,t[0],t[1],t[2],t[3]]);var u=a[4],c=i.shape[4];C(5===a.length,(function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+a.length+"."})),C(5===i.rank,(function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+i.rank})),C(5===n.rank,(function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank})),C(u===n.shape[3],(function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."})),C(c===n.shape[4],(function(){return"Error in conv3dDerInput: depth of output ("+c+") must match output depth for filter "+n.shape[4]+"."}));var l=Ao(a,n.shape,r,1,o),h=Lt.runKernelFunc((function(t){return t.conv3dDerInput(i,n,l)}),{dy5D:i});return s?h.as4D(h.shape[1],h.shape[2],h.shape[3],h.shape[4]):h}var Hc=An({conv1d_:function(t,e,n,r,o,a,i){void 0===o&&(o="NWC"),void 0===a&&(a=1);var s=mn(t,"x","conv1d"),u=mn(e,"filter","conv1d"),c=s,l=!1;2===s.rank&&(l=!0,c=s.as3D(1,s.shape[0],s.shape[1])),C(3===c.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+c.rank+"."})),C(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),null!=i&&C(A(r),(function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+r+"."})),C(c.shape[2]===u.shape[1],(function(){return"Error in conv1d: depth of input ("+c.shape[2]+") must match input depth for filter "+u.shape[1]+"."})),C(Mo(n,a),(function(){return"Error in conv1D: Either stride or dilation must be 1. 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Got dilations '"+a+"'"}));var o=e[0],i=e[1];return{x:function(){return Gc(o.shape,t,i,n,r)},$filter:function(){return function(t,e,n,r,o){var a=t;4===t.rank&&(a=t.as5D(1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]));var i=e;4===i.rank&&(i=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]));C(5===a.rank,(function(){return"Error in conv3dDerFilter: input must be rank 5, but got shape "+a.shape+"."})),C(5===i.rank,(function(){return"Error in conv3dDerFilter: dy must be rank 5, but got shape "+i.shape+"."})),C(5===n.length,(function(){return"Error in conv3dDerFilter: filterShape must be length 5, but got "+n+"."})),C(a.shape[4]===n[3],(function(){return"Error in conv3dDerFilter: depth of input "+a.shape[4]+") must match input depth in filter ("+n[3]+"."})),C(i.shape[4]===n[4],(function(){return"Error in conv3dDerFilter: depth of dy ("+i.shape[4]+") must match output depth for filter ("+n[4]+")."}));var s=Ao(a.shape,n,r,1,o);return Lt.runKernelFunc((function(t){return t.conv3dDerFilter(a,i,s)}),{x5D:a,dy5D:i})}(o,t,i.shape,n,r)}}}));return c?h.as4D(h.shape[1],h.shape[2],h.shape[3],h.shape[4]):h}}),jc=An({conv2dDerFilter_:function(t,e,n,r,o,a,i){void 0===a&&(a="NHWC");var s=t;3===t.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var u=e;3===u.rank&&(u=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),C(4===s.rank,(function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+s.shape+"."})),C(4===u.rank,(function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+u.shape+"."})),C(4===n.length,(function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."}));var c="NHWC"===a?s.shape[3]:s.shape[1],l="NHWC"===a?u.shape[3]:u.shape[1];C(c===n[2],(function(){return"Error in conv2dDerFilter: depth of input "+c+") must match input depth in filter ("+n[2]+"."})),C(l===n[3],(function(){return"Error in conv2dDerFilter: depth of dy ("+l+") must match output depth for filter ("+n[3]+")."})),null!=i&&C(A(o),(function(){return"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+o+"."}));var h=Bo(a),f=So(s.shape,n,r,1,o,i,!1,h);return Lt.runKernelFunc((function(t){return t.conv2dDerFilter(s,u,f)}),{x4D:s,dy4D:u})}}),Xc=An({conv2dDerInput_:Vc}),Yc=An({depthwiseConv2d_:function(t,e,n,r,o,a,i){void 0===o&&(o="NHWC"),void 0===a&&(a=[1,1]);var s=mn(t,"x","depthwiseConv2d"),u=mn(e,"filter","depthwiseConv2d"),c=s,l=!1;3===s.rank&&(l=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),C(4===c.rank,(function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+c.rank+"."})),C(4===u.rank,(function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."})),C(c.shape[3]===u.shape[2],(function(){return"Error in depthwiseConv2d: number of input channels ("+c.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."})),null==a&&(a=[1,1]),C(Mo(n,a),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+a+"'"})),null!=i&&C(A(r),(function(){return"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+r+"."}));var h=So(c.shape,u.shape,n,a,r,i,!0),f=[c,u],d=Lt.runKernelFunc((function(t,e){var n=t.depthwiseConv2D(c,u,h);return e([c,u]),n}),{x:c,filter:u},(function(t,e){C(Oo(a),(function(){return"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+a+"'"}));var n=e[0],r=e[1];return{x:function(){return $c(n.shape,t,r,h)},filter:function(){return Qc(n,t,r.shape,h)}}}),"DepthwiseConv2dNative",h,f);return l?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}}),$c=An({depthwiseConv2dDerInput_:function(t,e,n,r){var o=e,a=!1;3===e.rank&&(a=!0,o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var i=Lt.runKernelFunc((function(t){return t.depthwiseConv2DDerInput(o,n,r)}),{dy4D:o});return a?i.as3D(i.shape[1],i.shape[2],i.shape[3]):i}}),Qc=An({depthwiseConv2dDerFilter_:function(t,e,n,r){var o=t;3===t.rank&&(o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var a=e;return 3===a.rank&&(a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),Lt.runKernelFunc((function(t){return t.depthwiseConv2DDerFilter(o,a,r)}),{x4D:o,dy4D:a})}}),Jc=An({separableConv2d_:function(t,e,n,r,o,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC");var s=mn(t,"x","separableConv2d"),u=mn(e,"depthwiseFilter","separableConv2d"),c=mn(n,"pointwiseFilter","separableConv2d"),l=s,h=!1;if(3===s.rank&&(h=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),"NCHW"===i)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");C(4===l.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got rank "+l.rank+"."})),C(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."})),C(4===c.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."})),C(1===c.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+c.shape[0]+"."})),C(1===c.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+c.shape[1]+"."}));var f=u.shape[2],d=u.shape[3];C(c.shape[2]===f*d,(function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+f*d+", but got "+c.shape[2]+"."}));var p=Yc(l,u,r,o,i,a),v=qc(p,c,1,"valid",i);return h?v.as3D(v.shape[1],v.shape[2],v.shape[3]):v}}),Zc=An({conv2dTranspose_:function(t,e,n,r,o,a){return Vc(n,mn(t,"x","conv2dTranspose"),mn(e,"filter","conv2dTranspose"),r,o,"NHWC",a)}}),tl=An({conv3dTranspose_:function(t,e,n,r,o){return Gc(n,mn(t,"x","conv3dTranspose"),mn(e,"filter","conv3dTranspose"),r,o)}});var el=An({matMul_:function(t,e,n,r){var o;void 0===n&&(n=!1),void 0===r&&(r=!1);var a=mn(t,"a","matMul"),i=mn(e,"b","matMul");o=Nt(a,i),a=o[0],i=o[1];var s=n?a.shape[a.rank-2]:a.shape[a.rank-1],u=r?i.shape[i.rank-1]:i.shape[i.rank-2],c=n?a.shape[a.rank-1]:a.shape[a.rank-2],l=r?i.shape[i.rank-2]:i.shape[i.rank-1],h=a.shape.slice(0,-2),f=i.shape.slice(0,-2),d=k(h),p=k(f);C(a.rank>=2&&i.rank>=2&&a.rank===i.rank,(function(){return"Error in matMul: inputs must have the same rank of at least 2, got ranks "+a.rank+" and "+i.rank+"."})),C(S(h,f),(function(){return"Error in matMul: outer dimensions ("+h+") and ("+f+") of Tensors with shapes "+a.shape+" and "+i.shape+" must match."})),C(s===u,(function(){return"Error in matMul: inner shapes ("+s+") and ("+u+") of Tensors with shapes "+a.shape+" and "+i.shape+" and transposeA="+n+" and transposeB="+r+" must match."}));var v=a.shape.slice(0,-2).concat([c,l]),m=n?a.as3D(d,s,c):a.as3D(d,c,s),g=r?i.as3D(p,l,u):i.as3D(p,u,l),y={transposeA:n,transposeB:r};return Lt.runKernelFunc((function(t,e){var o=t.batchMatMul(m,g,n,r);return e([m,g]),o}),{a:m,b:g},(function(t,e){var o=e,a=o[0],i=o[1];return n||r?!n&&r?{a:function(){return t.matMul(i,!1,!1)},b:function(){return t.matMul(a,!0,!1)}}:n&&!r?{a:function(){return i.matMul(t,!1,!0)},b:function(){return a.matMul(t,!1,!1)}}:{a:function(){return i.matMul(t,!0,!0)},b:function(){return t.matMul(a,!0,!0)}}:{a:function(){return t.matMul(i,!1,!0)},b:function(){return a.matMul(t,!0,!1)}}}),"BatchMatMul",y).reshape(v)}}),nl=An({dot_:function(t,e){var n=mn(t,"t1","dot"),r=mn(e,"t2","dot");C(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),(function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."}));var o=1===n.rank?n.size:n.shape[1],a=1===r.rank?r.size:r.shape[0];return C(o===a,(function(){return"Error in dot: inner dimensions of inputs must match, but got "+o+" and "+a+"."})),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),rl=An({outerProduct_:function(t,e){var n=mn(t,"v1","outerProduct"),r=mn(e,"v2","outerProduct");return C(1===n.rank&&1===r.rank,(function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."})),n.as2D(-1,1).matMul(r.as2D(1,-1))}});var ol=An({reverse_:function(t,e){var n=mn(t,"x","reverse");if(0===n.rank)return n.clone();var r=O(e,n.shape);return Lt.runKernelFunc((function(t){return t.reverse(n,r)}),{$x:n},(function(t){return{$x:function(){return t.reverse(r)}}})).reshapeAs(n)}}),al=An({reverse1d_:function(t){var e=mn(t,"x","reverse");return C(1===e.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank "+e.rank+"."})),ol(e,0)}}),il=An({reverse2d_:function(t,e){var n=mn(t,"x","reverse");return C(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."})),ol(n,e)}}),sl=An({reverse3d_:function(t,e){var n=mn(t,"x","reverse");return C(3===n.rank,(function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."})),ol(n,e)}}),ul=An({reverse4d_:function(t,e){var n=mn(t,"x","reverse");return C(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."})),ol(n,e)}});function cl(t,e,n,r,o,a){var i=mn(t,"x","maxPool"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),null==r&&(r=[1,1]),C(4===s.rank,(function(){return"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."})),C(Mo(n,r),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"})),null!=a&&C(A(o),(function(){return"Error in maxPool: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+o+"."}));var c=Io(s.shape,e,n,r,o,a);if(1===c.filterWidth&&1===c.filterHeight&&S(c.inShape,c.outShape))return i.clone();var l=[s],h=Lt.runKernelFunc((function(t,e){var n=t.maxPool(s,c);return e([s,n]),n}),{x:s},(function(t,a){var i=a[0],s=a[1];return{x:function(){return function(t,e,n,r,o,a,i,s){var u=mn(t,"dy","maxPoolBackprop"),c=mn(e,"input","maxPoolBackprop"),l=mn(n,"output","maxPoolBackprop");C(c.rank===u.rank,(function(){return"Rank of input ("+c.rank+") does not match rank of dy ("+u.rank+")"})),null==a&&(a=[1,1]);C(Mo(o,a),(function(){return"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+a+"'"})),C(4===u.rank,(function(){return"Error in maxPoolBackprop: dy must be rank 4 but got rank "+u.rank+"."})),C(4===c.rank,(function(){return"Error in maxPoolBackprop: input must be rank 4 but got rank "+c.rank+"."})),null!=s&&C(A(i),(function(){return"Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode "+s+" but got pad "+i+"."}));var h=Io(c.shape,r,o,a,i,s);return Lt.runKernelFunc((function(t){return t.maxPoolBackprop(u,c,l,h)}),{$dy:u,$input:c})}(t,i,s,e,n,r,o)}}}),"MaxPool",c,l);return u?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h}function ll(t,e,n,r,o,a){var i=mn(t,"x","avgPool","float32");null==r&&(r=[1,1]),C(Mo(n,r),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"}));var s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),C(4===s.rank,(function(){return"Error in avgPool: x must be rank 4 but got rank "+s.rank+"."})),null!=a&&C(A(o),(function(){return"Error in avgPool: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+o+"."}));var c=Io(s.shape,e,n,r,o,a);if(1===c.filterWidth&&1===c.filterHeight&&S(c.inShape,c.outShape))return i.clone();var l=Lt.runKernelFunc((function(t){return t.avgPool(s,c)}),{x:s},(function(t){return{x:function(){return function(t,e,n,r,o,a){var i=mn(t,"dy","avgPoolBackprop"),s=mn(e,"input","avgPoolBackprop");C(s.rank===i.rank,(function(){return"Rank of input ("+s.rank+") does not match rank of dy ("+i.rank+")"})),null==o&&(o=[1,1]);C(Mo(r,o),(function(){return"Error in avgPoolBackprop: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+o+"'"}));var u=s,c=i,l=!1;3===s.rank&&(l=!0,u=s.as4D(1,s.shape[0],s.shape[1],s.shape[2]),c=i.as4D(1,i.shape[0],i.shape[1],i.shape[2]));C(4===c.rank,(function(){return"Error in avgPoolBackprop: dy must be rank 4 but got rank "+c.rank+"."})),C(4===u.rank,(function(){return"Error in avgPoolBackprop: input must be rank 4 but got rank "+u.rank+"."}));var h=Io(u.shape,n,r,o,a),f=Lt.runKernelFunc((function(t){return t.avgPoolBackprop(c,u,h)}),{dy4D:c,input4D:u});if(l)return f.as3D(f.shape[1],f.shape[2],f.shape[3]);return f}(t,s,e,n,r,o)}}}),"AvgPool",c);return l=l.cast(i.dtype),u?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l}var hl=An({maxPool_:function(t,e,n,r,o){return cl(t,e,n,1,r,o)}}),fl=An({avgPool_:function(t,e,n,r,o){return ll(t,e,n,1,r,o)}}),dl=An({pool_:function(t,e,n,r,o,a){null==o&&(o=[1,1]),null==a&&(a=1),0===r&&(r="valid");var i=mn(t,"x","maxPool"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),C(Mo(a,o),(function(){return"Error in pool: Either strides or dilations must be 1. Got strides "+a+" and dilations '"+o+"'"}));var c,l=Io(s.shape,e,a,o,r),h=[l.dilationHeight,l.dilationWidth];c="same"===r?function(t,e){var n=t.map((function(t,n){return t+(t-1)*(e[n]-1)})).map((function(t){return t-1})),r=n.map((function(t){return Math.floor(t/2)})),o=n.map((function(t,e){return t-r[e]}));return n.map((function(t,e){return[r[e],o[e]]}))}([l.filterHeight,l.filterWidth],h):[[0,0],[0,0]];var f=1===h[0]&&1===h[1],d=function(t,e,n){var r=n.map((function(t){return t[0]})),o=n.map((function(t){return t[1]})),a=t.concat(r,o),i=e.map((function(t,e){return(t-a[e]%t)%t})),s=o.map((function(t,e){return t+i[e]})),u=e.map((function(t,e){return[r[e],s[e]]})),c=e.map((function(t,e){return[0,i[e]]}));return[u,c]}([l.inHeight,l.inWidth],h,c),p=d[0],v=d[1],m=f?r:"valid",g=f?s:Mr(s,h,p),y=("avg"===n?function(){return ll(g,e,a,1,m)}:function(){return cl(g,e,a,1,m)})(),x=f?y:vr(y,h,v);return u?x.as3D(x.shape[1],x.shape[2],x.shape[3]):x}}),pl=An({maxPool3d_:function(t,e,n,r,o,a,i){void 0===a&&(a="NDHWC");var s=mn(t,"x","maxPool3d"),u=s,c=!1;4===s.rank&&(c=!0,u=s.as5D(1,s.shape[0],s.shape[1],s.shape[2],s.shape[3])),null==i&&(i=[1,1,1]),C(5===u.rank,(function(){return"Error in maxPool3d: x must be rank 5 but got rank "+u.rank+"."})),C("NDHWC"===a,(function(){return"Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of "+a})),C(Mo(n,i),(function(){return"Error in maxPool3d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),null!=o&&C(A(r),(function(){return"Error in maxPool3d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."}));var l=ko(u.shape,e,n,i,r,o,a),h=Lt.runKernelFunc((function(t,e){var n=t.maxPool3d(u,l);return e([u,n]),n}),{x:u},(function(t,a){var s=a[0],u=a[1];return{x:function(){return function(t,e,n,r,o,a,i,s){var u=mn(t,"dy","maxPool3dBackprop"),c=mn(e,"input","maxPool3dBackprop"),l=mn(n,"output","maxPool3dBackprop"),h=u,f=c,d=l,p=!1;4===c.rank&&(p=!0,h=u.as5D(1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]),f=c.as5D(1,c.shape[0],c.shape[1],c.shape[2],c.shape[3]),d=l.as5D(1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]));C(5===h.rank,(function(){return"Error in maxPool3dBackprop: dy must be rank 5 but got rank "+h.rank+"."})),C(5===f.rank,(function(){return"Error in maxPool3dBackprop: input must be rank 5 but got rank "+f.rank+"."})),C(5===d.rank,(function(){return"Error in maxPool3dBackprop: output must be rank 5 but got rank "+d.rank+"."})),null==a&&(a=[1,1,1]);C(Mo(o,a),(function(){return"Error in maxPool3dBackprop: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+a+"'"})),null!=s&&C(A(i),(function(){return"Error in maxPool3dBackprop: pad must be an integer when using, dimRoundingMode "+s+" but got pad "+i+"."}));var v=ko(f.shape,r,o,a,i,s),m=Lt.runKernelFunc((function(t){return t.maxPool3dBackprop(h,f,d,v)}),{dy5D:h,input5D:f});if(p)return m.as4D(m.shape[1],m.shape[2],m.shape[3],m.shape[4]);return m}(t,s,u,e,n,i,r,o)}}}));return c?h.as4D(h.shape[1],h.shape[2],h.shape[3],h.shape[4]):h}}),vl=An({avgPool3d_:function(t,e,n,r,o,a,i){void 0===a&&(a="NDHWC");var s=mn(t,"x","avgPool3d","float32"),u=s,c=!1;4===s.rank&&(c=!0,u=s.as5D(1,s.shape[0],s.shape[1],s.shape[2],s.shape[3])),null==i&&(i=[1,1,1]),C(5===u.rank,(function(){return"Error in avgPool3d: x must be rank 5 but got rank "+u.rank+"."})),C("NDHWC"===a,(function(){return"Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of "+a})),C(Mo(n,i),(function(){return"Error in avgPool3d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),null!=o&&C(A(r),(function(){return"Error in avgPool3d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."}));var l=ko(u.shape,e,n,i,r,o,a),h=Lt.runKernelFunc((function(t){return t.avgPool3d(u,l)}),{x:u},(function(t){return{x:function(){return function(t,e,n,r,o,a,i){var s=mn(t,"dy","avgPool3dBackprop"),u=mn(e,"input","avgPool3dBackprop"),c=s,l=u,h=!1;4===u.rank&&(h=!0,c=s.as5D(1,s.shape[0],s.shape[1],s.shape[2],s.shape[3]),l=u.as5D(1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]));C(5===c.rank,(function(){return"Error in avgPool3dBackprop: dy must be rank 5 but got rank "+c.rank+"."})),C(5===l.rank,(function(){return"Error in avgPool3dBackprop: input must be rank 5 but got rank "+l.rank+"."})),null==o&&(o=[1,1,1]);C(Mo(r,o),(function(){return"Error in avgPool3dBackprop: Either strides or dilations must be 1. 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n=mn(t,"x","transpose");if(null==e&&(e=n.shape.map((function(t,e){return e})).reverse()),C(n.rank===e.length,(function(){return"Error in transpose: rank of input "+n.rank+" must match length of perm "+e+"."})),e.forEach((function(t){C(t>=0&&t<n.rank,(function(){return"All entries in 'perm' must be between 0 and "+(n.rank-1)+" but got "+e}))})),n.rank<=1)return n.clone();var r={perm:e};return Lt.runKernelFunc((function(t){return t.transpose(n,e)}),{x:n},(function(t){var n=Rn(e);return{x:function(){return t.transpose(n)}}}),"Transpose",r)}});var Ul=An({localResponseNormalization_:function(t,e,n,r,o){void 0===e&&(e=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===o&&(o=.5);var a=mn(t,"x","localResponseNormalization");C(4===a.rank||3===a.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank "+a.rank+"."})),C(A(e),(function(){return"Error in localResponseNormalization: depthRadius must be an integer but got depthRadius "+e+"."}));var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2]));var u=Lt.runKernelFunc((function(t,a){var s=t.localResponseNormalization4D(i,e,n,r,o);return a([i,s]),s}),{x4D:i},(function(t,a){var i=a[0],s=a[1];return{x4D:function(){return Lt.runKernelFunc((function(a){return a.LRNGrad(t,i,s,e,n,r,o)}),{})}}}));return s?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}});var Vl=An({norm_:function(t,e,n,r){void 0===e&&(e="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var o=function t(e,n,r){void 0===r&&(r=null);if(0===e.rank)return e.abs();if(1!==e.rank&&null===r)return t(e.reshape([-1]),n,r);if(1===e.rank||"number"==typeof r||Array.isArray(r)&&1===r.length){if(1===n)return e.abs().sum(r);if(n===1/0)return e.abs().max(r);if(n===-1/0)return e.abs().min(r);if("euclidean"===n||2===n)return e.abs().pow(On(2,"int32")).sum(r).sqrt();throw new Error("Error in norm: invalid ord value: "+n)}if(Array.isArray(r)&&2===r.length){if(1===n)return e.abs().sum(r[0]).max(r[1]-1);if(n===1/0)return e.abs().sum(r[1]).max(r[0]);if(n===-1/0)return e.abs().sum(r[1]).min(r[0]);if("fro"===n||"euclidean"===n)return e.square().sum(r).sqrt();throw new Error("Error in norm: invalid ord value: "+n)}throw new Error("Error in norm: invalid axis: "+r)}(t=mn(t,"x","norm"),e,n),a=o.shape;if(r){var i=O(n,t.shape);a=wn(o.shape,i)}return o.reshape(a)}});var zl=An({basicLSTMCell_:function(t,e,n,r,o,a){var i=mn(t,"forgetBias","basicLSTMCell"),s=mn(e,"lstmKernel","basicLSTMCell"),u=mn(n,"lstmBias","basicLSTMCell"),c=mn(r,"data","basicLSTMCell"),l=mn(o,"c","basicLSTMCell"),h=mn(a,"h","basicLSTMCell"),f=c.concat(h,1).matMul(s).add(u),d=f.shape[0],p=f.shape[1]/4,v=[d,p],m=f.slice([0,0],v),g=f.slice([0,p],v),y=f.slice([0,2*p],v),x=f.slice([0,3*p],v),b=m.sigmoid().mulStrict(g.tanh()).addStrict(l.mulStrict(i.add(y).sigmoid())),w=b.tanh().mulStrict(x.sigmoid());return[b,w]}}),Gl=An({multiRNNCell_:function(t,e,n,r){for(var o=mn(e,"data","multiRNNCell"),a=gn(n,"c","multiRNNCell"),i=gn(r,"h","multiRNNCell"),s=o,u=[],c=0;c<t.length;c++){var l=t[c](s,a[c],i[c]);u.push(l[0]),u.push(l[1]),s=l[1]}var h=[],f=[];for(c=0;c<u.length;c+=2)h.push(u[c]),f.push(u[c+1]);return[h,f]}});var Hl=An({movingAverage_:function(t,e,n,r,o){void 0===o&&(o=!0);var a=mn(t,"v","movingAverage"),i=mn(e,"x","movingAverage"),s=mn(n,"decay","movingAverage");Ft(a,i),C(S(a.shape,i.shape),(function(){return"Shape mismatch in v and x"}));var u=On(1),c=u.sub(s),l=i.sub(a).mul(c);if(o){C(null!=r,(function(){return"When using zeroDebias: true, step is required."}));var h=mn(r,"step","movingAverage");l=l.div(u.sub(xc(s,h)))}return a.add(l)}});var ql=An({stridedSlice_:function(t,e,n,r,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),null==r&&(r=new Array(e.length)),0!==i)throw new Error("ellipsis mask is not yet supported");var c=mn(t,"x","stridedSlice"),l=no(s),h=c.shape.slice();l.forEach((function(t){e[t]=0,n[t]=1,h.splice(t,0,1)})),c=c.reshape(h);for(var f=0;f<c.rank;f++)e[f]=oo(o,e,r,c.shape,f),n[f]=ao(a,n,r,c.shape,f),r[f]=r[f]||1;var d=no(u);d.forEach((function(t){n[t]=e[t]+1,r[t]=1}));var p=ro(e,n,r),v=p.filter((function(t,e){return-1===d.indexOf(e)}));return r.every((function(t){return 1===t}))?ml(c,e,p).reshape(v):Lt.runKernelFunc((function(t){return t.stridedSlice(c,e,n,r)}),{$x:c}).reshape(v)}});var Kl=An({topk_:function(t,e,n){void 0===e&&(e=1),void 0===n&&(n=!0);var r=mn(t,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var o=r.shape[r.shape.length-1];if(e>o)throw new Error("'k' passed to topk() must be <= the last dimension ("+o+") but got "+e);var a=Lt.runKernelFunc((function(t){return t.topk(r,e,n)}),{$x:r});return{values:a[0],indices:a[1]}}});var jl=An({scatterND_:function(t,e,n){var r=mn(t,"indices","scatterND","int32"),o=mn(e,"updates","scatterND");return Jr(o,r,n),Lt.runKernelFunc((function(t){return t.scatterND(r,o,n)}),{indices:r,updates:o},null,"ScatterNd",{shape:n})}});var Xl=An({fft_:function(t){C("complex64"===t.dtype,(function(){return"The dtype for tf.spectral.fft() must be complex64 but got "+t.dtype+"."}));var e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return Lt.runKernelFunc((function(t){return t.fft(r)}),{input:t}).reshape(t.shape)}}),Yl=An({ifft_:function(t){C("complex64"===t.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 but got "+t.dtype+"."}));var e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return Lt.runKernelFunc((function(t){return t.ifft(r)}),{input:t}).reshape(t.shape)}}),$l=An({rfft_:function(t,e){C("float32"===t.dtype,(function(){return"The dtype for rfft() must be real value but got "+t.dtype}));var n,r=t.shape[t.shape.length-1],o=t.size/r;if(null!=e&&e<r){var a=t.shape.map((function(t){return 0})),i=t.shape.map((function(t){return t}));i[t.shape.length-1]=e,n=t.slice(a,i),r=e}else if(null!=e&&e>r){var s=t.shape.map((function(t){return t}));s[t.shape.length-1]=e-r,n=t.concat(Gn(s),t.shape.length-1),r=e}else n=t;var u=n.zerosLike(),c=Dn(n,u).as2D(o,r),l=Xl(c),h=Math.floor(r/2)+1,f=Tn(l),d=Nn(l),p=f.split([h,r-h],f.shape.length-1),v=d.split([h,r-h],d.shape.length-1),m=n.shape.slice();return m[n.shape.length-1]=h,Dn(p[0],v[0]).reshape(m)}}),Ql=An({irfft_:function(t){var e=t.shape[t.shape.length-1],n=t.size/e;if(e<=2){var r=t.as2D(n,e),o=Yl(r);return Tn(o)}var a=[n,2*(e-1)],i=Tn(t).as2D(n,e),s=Nn(t).as2D(n,e),u=i.slice([0,1],[n,e-2]).reverse(1),c=s.slice([0,1],[n,e-2]).reverse(1).mul(On(-1)),l=i.concat(u,1),h=s.concat(c,1);return r=Dn(l,h).as2D(a[0],a[1]),o=Yl(r),Tn(o)}}),Jl=Object.freeze({fft:Xl,ifft:Yl,rfft:$l,irfft:Ql});var Zl=An({sparseToDense_:function(t,e,n,r){void 0===r&&(r=0);var o=mn(t,"sparseIndices","sparseToDense","int32"),a=mn(e,"sparseValues","sparseToDense"),i=mn(r,"defaultValue","sparseToDense",a.dtype);return function(t,e,n,r){if("int32"!==t.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type, but the dtype was "+t.dtype+".");if(t.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix, but got shape "+t.shape+".");var o=t.rank>0?t.shape[0]:1,a=t.rank>1?t.shape[1]:1;if(n.length!==a)throw new Error("outputShape has incorrect number of elements:, "+n.length+", should be: "+a+".");var i=e.size;if(0!==e.rank&&(1!==e.rank||i!==o))throw new Error("sparseValues has incorrect shape "+e.shape+", should be [] or ["+o+"]");if(e.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(o,a,n,i),Lt.runKernelFunc((function(t){return t.sparseToDense(o,a,n,i)}),{$sparseIndices:o,$sparseValues:a,$defaultValue:i})}});var th=An({gatherND_:function(t,e){var n=mn(e,"indices","gatherND","int32"),r=mn(t,"x","gatherND");return Lt.runKernelFunc((function(t){return t.gatherND(r,n)}),{x:r,indices:n},null,"GatherNd")}});var eh=An({diag_:function(t){var e=mn(t,"x","diag").flatten(),n=t.shape.concat(t.shape);return Lt.runKernelFunc((function(t){return t.diag(e)}),{$x:e}).reshape(n)}});var nh=An({dropout_:function(t,e,n,r){var o=mn(t,"x","dropout");if(C("float32"===o.dtype,(function(){return"x has to be a floating point tensor since it's going to be scaled, but got a "+o.dtype+" tensor instead."})),C(e>=0&&e<1,(function(){return"rate must be a float in the range [0, 1), but got "+e+"."})),0===e)return t instanceof wt?o.clone():o;var a=function(t,e){if(null==e)return t.shape.slice();if(S(t.shape,e))return e;if(t.shape.length===e.length){for(var n=[],r=0;r<t.shape.length;r++)null==e[r]&&null!=t.shape[r]?n.push(t.shape[r]):n.push(e[r]);return n}return e}(o,n),i=1-e,s=_r(a,0,1,"float32",r).add(i).floor().div(i);return o.mul(s)}});function 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a=mn(t,"multiClassLabels","sigmoidCrossEntropy"),i=mn(e,"logits","sigmoidCrossEntropy"),s=null;if(null!=n&&(s=mn(n,"weights","sigmoidCrossEntropy")),E(a.shape,i.shape,"Error in sigmoidCrossEntropy: "),r>0){var u=On(r),c=On(1),l=On(.5);a=a.mul(c.sub(u)).add(l.mul(u))}var h=function(t,e){var n=mn(t,"labels","sigmoidCrossEntropyWithLogits"),r=mn(e,"logits","sigmoidCrossEntropyWithLogits");E(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var o=r.relu(),a=r.mul(n),i=r.abs().neg().exp().log1p();return o.sub(a).add(i)}(a,i);return fh(h,s,o)}}),xh=An({softmaxCrossEntropy_:function(t,e,n,r,o){void 0===r&&(r=0),void 0===o&&(o=ch.SUM_BY_NONZERO_WEIGHTS);var a=mn(t,"onehotLabels","softmaxCrossEntropy"),i=mn(e,"logits","softmaxCrossEntropy"),s=null;if(null!=n&&(s=mn(n,"weights","softmaxCrossEntropy")),E(a.shape,i.shape,"Error in softmaxCrossEntropy: "),r>0){var u=On(r),c=On(1),l=On(a.shape[1]);a=a.mul(c.sub(u)).add(u.div(l))}var h=function(t,e,n){if(void 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r=mn(t,"images","resizeNearestNeighbor");C(3===r.rank||4===r.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+r.rank+"."})),C(2===e.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."})),C("float32"===r.dtype||"int32"===r.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"}));var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=e[0],s=e[1],u=Lt.runKernelFunc((function(t,e){return e([o]),t.resizeNearestNeighbor(o,i,s,n)}),{batchImages:o},(function(t,e){return{batchImages:function(){return Lt.runKernelFunc((function(r){return r.resizeNearestNeighborBackprop(t,e[0],n)}),{})}}}));return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),Dh=An({nonMaxSuppression_:function(t,e,n,r,o){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY);var a=mn(t,"boxes","nonMaxSuppression"),i=mn(e,"scores","nonMaxSuppression"),s=kh(a,i,n,r,o);n=s.maxOutputSize,r=s.iouThreshold,o=s.scoreThreshold;var u={maxOutputSize:n,iouThreshold:r,scoreThreshold:o};return Lt.runKernelFunc((function(t){return t.nonMaxSuppression(a,i,n,r,o)}),{boxes:a,scores:i},null,"NonMaxSuppressionV3",u)}}),Th=function(t,e,o,a,i){return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),n(this,void 0,void 0,(function(){var n,s,u,c,l,h,f;return r(this,(function(r){switch(r.label){case 0:return n=mn(t,"boxes","nonMaxSuppressionAsync"),s=mn(e,"scores","nonMaxSuppressionAsync"),u=kh(n,s,o,a,i),o=u.maxOutputSize,a=u.iouThreshold,i=u.scoreThreshold,[4,Promise.all([n.data(),s.data()])];case 1:return c=r.sent(),l=c[0],h=c[1],f=jo(l,h,o,a,i),n!==t&&n.dispose(),s!==e&&s.dispose(),[2,f]}}))}))},Nh=An({nonMaxSuppressionWithScore_:function(t,e,n,r,o,a){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY),void 0===a&&(a=0);var i=mn(t,"boxes","nonMaxSuppression"),s=mn(e,"scores","nonMaxSuppression"),u=kh(i,s,n,r,o,a),c={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:o=u.scoreThreshold,softNmsSigma:a=u.softNmsSigma},l=Lt.runKernel("NonMaxSuppressionV5",{boxes:i,scores:s},c);return{selectedIndices:l[0],selectedScores:l[1]}}}),Fh=function(t,e,o,a,i,s){return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===s&&(s=0),n(this,void 0,void 0,(function(){var n,u,c,l,h,f,d;return r(this,(function(r){switch(r.label){case 0:return n=mn(t,"boxes","nonMaxSuppressionAsync"),u=mn(e,"scores","nonMaxSuppressionAsync"),c=kh(n,u,o,a,i,s),o=c.maxOutputSize,a=c.iouThreshold,i=c.scoreThreshold,s=c.softNmsSigma,[4,Promise.all([n.data(),u.data()])];case 1:return l=r.sent(),h=l[0],f=l[1],d=Xo(h,f,o,a,i,s),n!==t&&n.dispose(),u!==e&&u.dispose(),[2,d]}}))}))},_h=An({cropAndResize_:function(t,e,n,r,o,a){var i=mn(t,"image","cropAndResize"),s=mn(e,"boxes","cropAndResize","float32"),u=mn(n,"boxInd","cropAndResize","int32");o=o||"bilinear",a=a||0;var c=s.shape[0];return C(4===i.rank,(function(){return"Error in cropAndResize: image must be rank 4,but got rank "+i.rank+"."})),C(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size ["+c+",4] but had shape "+s.shape+"."})),C(1===u.rank&&u.shape[0]===c,(function(){return"Error in cropAndResize: boxInd must be have size ["+c+"] but had shape "+s.shape+"."})),C(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."})),C(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was "+r})),C("bilinear"===o||"nearest"===o,(function(){return"method must be bilinear or nearest, but was "+o})),Lt.runKernelFunc((function(t,e){return t.cropAndResize(i,s,u,r,o,a)}),{images:i,boxes:s,boxInd:u},null,"CropAndResize",{method:o,extrapolationValue:a,cropSize:r})}}),Oh=Object.freeze({resizeBilinear:Sh,resizeNearestNeighbor:Ah,nonMaxSuppression:Dh,nonMaxSuppressionAsync:Th,nonMaxSuppressionWithScore:Nh,nonMaxSuppressionWithScoreAsync:Fh,cropAndResize:_h}),Mh=function(t,e){return!(t>0)||"linear"===e},Bh=function(t,e,n){if(null==n||"linear"===n)return t;if("relu"===n)return t.mul(e.step());throw new Error("Gradient for activation "+n+" has not been implemented yet.")},Ph=function(t,e){var n=e,r=Eo(t.shape,e.shape);return r.length>0&&(n=n.sum(r)),n.reshape(t.shape)},Lh=function(t,e,n){if("linear"===e)return t;if("relu"===e)return Bl(t);if("elu"===e)return _l(t);if("relu6"===e)return Pl(t);if("prelu"===e)return Ml(t,n);throw new Error("Unknown fused activation "+e+".")};var Wh=An({fusedMatMul_:function(t){var e,n=t.a,r=t.b,o=t.transposeA,a=void 0!==o&&o,i=t.transposeB,s=void 0!==i&&i,u=t.bias,c=t.activation,l=void 0===c?"linear":c,h=t.preluActivationWeights;if(!1===Mh(Lt.state.gradientDepth,l)){var f=el(n,r,a,s);return null!=u&&(f=rc(f,u)),Lh(f,l,h)}var d=mn(n,"a","fused matMul"),p=mn(r,"b","fused matMul");e=Nt(d,p),d=e[0],p=e[1];var v=a?d.shape[d.rank-2]:d.shape[d.rank-1],m=s?p.shape[p.rank-1]:p.shape[p.rank-2],g=a?d.shape[d.rank-1]:d.shape[d.rank-2],y=s?p.shape[p.rank-2]:p.shape[p.rank-1],x=d.shape.slice(0,-2),b=p.shape.slice(0,-2),w=k(x),E=k(b);C(d.rank>=2&&p.rank>=2&&d.rank===p.rank,(function(){return"Error in fused matMul: inputs must have the same rank of at least 2, got ranks "+d.rank+" and "+p.rank+"."})),C(S(x,b),(function(){return"Error in fused matMul: outer dimensions ("+x+") and ("+b+") of Tensors with shapes "+d.shape+" and "+p.shape+" must match."})),C(v===m,(function(){return"Error in fused matMul: inner shapes ("+v+") and ("+m+") of Tensors with shapes "+d.shape+" and "+p.shape+" and transposeA="+a+" and transposeB="+s+" must match."}));var R,I,A=d.shape.slice(0,-2).concat([g,y]),D=a?d.as3D(w,v,g):d.as3D(w,g,v),T=s?p.as3D(E,y,m):p.as3D(E,m,y);null!=u&&Ro(A,(R=Nt(R=mn(u,"bias","fused matMul"),d)[0]).shape),null!=h&&(I=mn(h,"prelu weights","fused matMul"));var N={a:D,b:T};null!=u&&(N.bias=R),null!=h&&(N.preluActivationWeights=I);var F=[D,T];return Lt.runKernelFunc((function(t,e){var n=t.fusedBatchMatMul({a:D,b:T,transposeA:a,transposeB:s,bias:R,activation:l,preluActivationWeights:I});return e([D,T,n]),n}),N,(function(t,e){var n=e[0],r=e[1],o=e[2],i=Bh(t,o,l),c={};return null!=u&&(c={bias:function(){return Ph(R,i)}}),a||s?!a&&s?Object.assign({a:function(){return i.matMul(r,!1,!1)},b:function(){return i.matMul(n,!0,!1)}},c):a&&!s?Object.assign({a:function(){return r.matMul(i,!1,!0)},b:function(){return n.matMul(i,!1,!1)}},c):Object.assign({a:function(){return r.matMul(i,!0,!0)},b:function(){return i.matMul(n,!0,!0)}},c):Object.assign({a:function(){return i.matMul(r,!1,!0)},b:function(){return n.matMul(i,!0,!1)}},c)}),"_FusedMatMul",{transposeA:a,transposeB:s,activation:l},F,[!0]).reshape(A)}}),Uh=An({fusedConv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,o=t.pad,a=t.dataFormat,i=void 0===a?"NHWC":a,s=t.dilations,u=void 0===s?[1,1]:s,c=t.dimRoundingMode,l=t.bias,h=t.activation,f=void 0===h?"linear":h,d=t.preluActivationWeights;if(f=f||"linear",!1===Mh(Lt.state.gradientDepth,f)){var p=qc(e,n,r,o,i,u,c);return null!=l&&(p=rc(p,l)),Lh(p,f,d)}var v=mn(e,"x","conv2d"),m=mn(n,"filter","conv2d"),g=v,y=!1;3===v.rank&&(y=!0,g=v.as4D(1,v.shape[0],v.shape[1],v.shape[2])),C(4===g.rank,(function(){return"Error in fused conv2d: input must be rank 4, but got rank "+g.rank+"."})),C(4===m.rank,(function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+m.rank+"."})),null!=c&&C(A(o),(function(){return"Error in fused conv2d: pad must be an integer when using, dimRoundingMode "+c+" but got pad "+o+"."})),C(g.shape[3]===m.shape[2],(function(){return"Error in conv2d: depth of input ("+g.shape[3]+") must match input depth for filter "+m.shape[2]+"."})),C(Mo(r,u),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"})),C("NHWC"===i,(function(){return"Error in conv2d: got dataFormat of "+i+" but only NHWC is currently supported."}));var x,b,w=So(g.shape,m.shape,r,u,o,c);null!=l&&(x=Nt(x=mn(l,"bias","fused conv2d"),v)[0],Ro(w.outShape,x.shape)),null!=d&&(b=mn(d,"prelu weights","fused conv2d"));var E={x:g,filter:m};null!=l&&(E.bias=x),null!=d&&(E.preluActivationWeights=b);var R=[m,g],I=Lt.runKernelFunc((function(t,e){var n=t.fusedConv2d({input:g,filter:m,convInfo:w,bias:x,activation:f,preluActivationWeights:b});return e([m,g,n]),n}),E,(function(t,e){var n=e,a=n[0],i=n[1],s=n[2],c=Bh(t,s,f);C(Oo(u),(function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+u+"'"}));var h={};return null!=l&&(h={bias:function(){return Ph(x,c)}}),Object.assign({x:function(){return Xc(i.shape,c,a,r,o)},filter:function(){return jc(i,c,a.shape,r,o)}},h)}),"FusedConv2D",{convInfo:w,activation:f},R,[!0]);return y?I.as3D(I.shape[1],I.shape[2],I.shape[3]):I}}),Vh=An({fusedDepthwiseConv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,o=t.pad,a=t.dataFormat,i=void 0===a?"NHWC":a,s=t.dilations,u=void 0===s?[1,1]:s,c=t.dimRoundingMode,l=t.bias,h=t.activation,f=void 0===h?"linear":h,d=t.preluActivationWeights;if(!1===Mh(Lt.state.gradientDepth,f)){var p=Yc(e,n,r,o,i,u,c);return null!=l&&(p=rc(p,l)),Lh(p,f,d)}var v=mn(e,"x","depthwiseConv2d"),m=mn(n,"filter","depthwiseConv2d"),g=v,y=!1;3===v.rank&&(y=!0,g=v.as4D(1,v.shape[0],v.shape[1],v.shape[2])),C(4===g.rank,(function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got rank "+g.rank+"."})),C(4===m.rank,(function(){return"Error in fused depthwiseConv2d: filter must be rank 4, but got rank "+m.rank+"."})),C(g.shape[3]===m.shape[2],(function(){return"Error in fused depthwiseConv2d: number of input channels ("+g.shape[3]+") must match the inChannels dimension in filter "+m.shape[2]+"."})),null==u&&(u=[1,1]),C(Mo(r,u),(function(){return"Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"})),null!=c&&C(A(o),(function(){return"Error in fused depthwiseConv2d: pad must be an integer when using dimRoundingMode "+c+" but got pad "+o+"."}));var x,b,w=So(g.shape,m.shape,r,u,o,c,!0);null!=l&&(x=Nt(x=mn(l,"bias","fused conv2d"),v)[0],Ro(w.outShape,x.shape)),null!=d&&(b=mn(d,"prelu weights","fused depthwiseConv2d"));var E={x:g,filter:m};null!=l&&(E.bias=x),null!=d&&(E.preluActivationWeights=b);var R=[m,g],I=Lt.runKernelFunc((function(t,e){var n=t.fusedDepthwiseConv2D({input:g,filter:m,convInfo:w,bias:x,activation:f,preluActivationWeights:b});return e([m,g,n]),n}),E,(function(t,e){C(Oo(u),(function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+u+"'"}));var n=e[0],r=e[1],o=e[2],a=Bh(t,o,f),i={};return null!=l&&(i={bias:function(){return Ph(x,a)}}),Object.assign({x:function(){return $c(r.shape,a,n,w)},filter:function(){return Qc(r,a,n.shape,w)}},i)}),"FusedDepthwiseConv2D",{convInfo:w,activation:f},R,[!0]);return y?I.as3D(I.shape[1],I.shape[2],I.shape[3]):I}}),zh=Object.freeze({matMul:Wh,conv2d:Uh,depthwiseConv2d:Vh}),Gh=Object.freeze({image:Oh,linalg:Ih,losses:bh,spectral:Jl,fused:zh,signal:uh,square:tu,squaredDifference:nu,conv1d:Hc,conv2d:qc,conv3d:Kc,depthwiseConv2d:Yc,separableConv2d:Jc,conv2dTranspose:Zc,conv3dTranspose:tl,op:An,batchNormalization2d:Gu,batchNormalization3d:Hu,batchNormalization4d:qu,batchNormalization:Ku,batchNorm:ju,batchNorm2d:Xu,batchNorm3d:Yu,batchNorm4d:$u,booleanMaskAsync:Uc,complex:Dn,real:Tn,imag:Nn,concat:Yn,concat1d:$n,concat2d:Qn,concat3d:Jn,concat4d:Zn,split:tr,matMul:el,dot:nl,outerProduct:rl,reverse:ol,reverse1d:al,reverse2d:il,reverse3d:sl,reverse4d:ul,maxPool:hl,avgPool:fl,pool:dl,maxPool3d:pl,avgPool3d:vl,slice:ml,slice1d:gl,slice2d:yl,slice3d:xl,slice4d:bl,abs:ru,acos:ou,acosh:au,asin:iu,asinh:su,atan:uu,atanh:cu,ceil:lu,clipByValue:hu,cos:fu,cosh:du,erf:pu,exp:vu,expm1:mu,floor:gu,log:yu,log1p:xu,logSigmoid:bu,neg:wu,reciprocal:Cu,round:Eu,rsqrt:Ru,sigmoid:Iu,sign:ku,isNaN:Su,isInf:Au,isFinite:Du,sin:Tu,sinh:Nu,softplus:Fu,sqrt:_u,step:Ou,tan:Mu,tanh:Bu,all:Cl,any:El,argMax:Rl,argMin:Il,logSumExp:kl,max:Sl,mean:Al,min:Dl,moments:Tl,sum:Nl,prod:Fl,equal:Rc,equalStrict:Ic,greater:kc,greaterEqual:Sc,greaterEqualStrict:Ac,greaterStrict:Dc,less:Tc,lessEqual:Nc,lessEqualStrict:Fc,lessStrict:_c,notEqual:Oc,notEqualStrict:Mc,add:rc,addN:oc,addStrict:ac,atan2:ic,div:sc,divNoNan:uc,divStrict:cc,floorDiv:lc,maximum:hc,maximumStrict:fc,minimum:dc,minimumStrict:pc,mod:vc,modStrict:mc,mul:gc,mulStrict:yc,pow:xc,powStrict:bc,squaredDifferenceStrict:wc,sub:Cc,subStrict:Ec,elu:_l,leakyRelu:Ol,prelu:Ml,relu:Bl,relu6:Pl,selu:Ll,logicalAnd:Qu,logicalNot:Ju,logicalOr:Zu,logicalXor:tc,where:ec,whereAsync:nc,buffer:dr,print:pr,batchToSpaceND:vr,broadcastTo:mr,cast:gr,clone:yr,cumsum:xr,depthToSpace:br,expandDims:wr,eye:Cr,multinomial:Er,oneHot:Rr,pad:Ir,pad1d:kr,pad2d:Sr,pad3d:Ar,pad4d:Dr,rand:Tr,randomNormal:Nr,randomGamma:Fr,randomUniform:_r,reshape:Or,spaceToBatchND:Mr,squeeze:Br,stack:Pr,tile:Lr,truncatedNormal:Wr,unstack:Ur,setdiff1dAsync:Vr,fill:Hn,linspace:qn,ones:zn,range:Kn,scalar:On,tensor:Fn,tensor1d:Mn,tensor2d:Bn,tensor3d:Pn,tensor4d:Ln,tensor5d:Wn,tensor6d:Un,variable:Vn,zeros:Gn,onesLike:jn,zerosLike:Xn,transpose:Wl,softmax:go,logSoftmax:yo,localResponseNormalization:Ul,norm:Vl,gather:Lc,unsortedSegmentSum:Wc,basicLSTMCell:zl,multiRNNCell:Gl,movingAverage:Hl,stridedSlice:ql,topk:Kl,scatterND:jl,fft:Xl,ifft:Yl,rfft:$l,irfft:Ql,sparseToDense:Zl,gatherND:th,diag:eh,dropout:nh,hannWindow:oh,hammingWindow:ah,frame:ih,stft:sh,inTopKAsync:lh});function Hh(t,e){Array.isArray(t)||(t=[t]),t.forEach((function(t){null!=t&&C("complex64"!==t.dtype,(function(){return e+" does not support complex64 tensors."}))}))}function qh(t,e,n,r){if("linear"===n)return t.linear(e);if("relu"===n)return t.relu(e);if("elu"===n)return t.elu(e);if("relu6"===n)return t.relu6(e);if("prelu"===n)return t.prelu(e,r);throw new Error("Activation "+n+" has not been implemented for the CPU backend.")}var Kh=function(t){function o(){var e=t.call(this)||this;return e.blockSize=48,e.firstUse=!0,e.data=new xo(e,Lt),e}return e(o,t),o.prototype.write=function(t,e,n){this.firstUse&&(this.firstUse=!1,i().get("IS_NODE")&&dn("\n============================\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\n============================"));var r={};return this.data.set(r,{values:t,dtype:n}),r},o.prototype.move=function(t,e,n,r){this.data.set(t,{values:e,dtype:r})},o.prototype.numDataIds=function(){return this.data.numDataIds()},o.prototype.read=function(t){return n(this,void 0,void 0,(function(){return r(this,(function(e){return[2,this.readSync(t)]}))}))},o.prototype.readSync=function(t){var e=this.data.get(t),n=e.dtype,r=e.complexTensors;return"complex64"===n?Vo(this.readSync(r.real.dataId),this.readSync(r.imag.dataId)):this.data.get(t).values},o.prototype.bufferSync=function(t){var e=this.readSync(t.dataId),n=e;if("string"===t.dtype)try{n=e.map((function(t){return ot(t)}))}catch(t){throw new Error("Failed to decode encoded string bytes into utf-8")}return dr(t.shape,t.dtype,n)},o.prototype.makeOutput=function(t,e,n){var r=this.write(t,e,n);return Lt.makeTensorFromDataId(r,e,n,this)},o.prototype.disposeData=function(t){if(this.data.has(t)){var e=this.data.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.data.delete(t)}},o.prototype.time=function(t){return n(this,void 0,void 0,(function(){var e;return r(this,(function(n){return e=et(),t(),[2,{kernelMs:et()-e}]}))}))},o.prototype.memory=function(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}},o.prototype.complex=function(t,e){var n=this.makeOutput(null,t.shape,"complex64");return this.data.get(n.dataId).complexTensors={real:Lt.keep(t.clone()),imag:Lt.keep(e.clone())},n},o.prototype.real=function(t){return this.data.get(t.dataId).complexTensors.real.clone()},o.prototype.imag=function(t){return this.data.get(t.dataId).complexTensors.imag.clone()},o.prototype.slice=function(t,e,n){if(Hh(t,"slice"),io(t.shape,e,n)){var r=so(e,t.strides),o=k(n);return Fn(this.readSync(t.dataId).subarray(r,r+o),n,t.dtype)}for(var a=dr(n,t.dtype),i=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s).map((function(t,n){return t+e[n]}));a.values[s]=i.get.apply(i,u)}return a.toTensor()},o.prototype.stridedSlice=function(t,e,n,r){Hh(t,"stridedSlice");var o=ro(e,n,r);if(o.some((function(t){return 0===t})))return Fn([],o);for(var a=dr(o,t.dtype),i=this.bufferSync(t),s=0;s<a.size;s++){for(var u=a.indexToLoc(s),c=new Array(u.length),l=0;l<c.length;l++)c[l]=u[l]*r[l]+e[l];a.set.apply(a,[i.get.apply(i,c)].concat(u))}return a.toTensor()},o.prototype.diag=function(t){for(var e=this.readSync(t.dataId),n=dr([t.size,t.size],t.dtype),r=n.values,o=0;o<e.length;o++)r[o*t.size+o]=e[o];return n.toTensor()},o.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),o=0,a=0;a<t.rank;a++)a!==e&&(r[o++]=t.shape[a]);var i=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(a=0;a<u.length;a++)i[e]=a,u[a]=this.slice(t,i,s).reshape(r);return u},o.prototype.reverse=function(t,e){Hh(t,"reverse");for(var n=dr(t.shape,t.dtype),r=this.bufferSync(t),o=function(o){var a=n.indexToLoc(o),i=a.slice();e.forEach((function(e){return i[e]=t.shape[e]-1-i[e]})),n.set.apply(n,[r.get.apply(r,i)].concat(a))},a=0;a<n.size;a++)o(a);return n.toTensor()},o.prototype.concat=function(t,e){var n=this;if("complex64"===t[0].dtype){var r=t.map((function(t){return Tn(t)})),o=t.map((function(t){return Nn(t)}));return Dn(this.concat(r,e),this.concat(o,e))}var a=t.map((function(t){var n=k(t.shape.slice(e));return t.as2D(-1,n)})),i=Sn(a.map((function(t){return t.shape})),1),s=dr(i,t[0].dtype).values;if(1===a[0].shape[0]){var u=0;a.forEach((function(t){s.set(n.readSync(t.dataId),u),u+=t.size}))}else{var c=0;a.forEach((function(t){for(var e=n.readSync(t.dataId),r=0,o=0;o<t.shape[0];++o)for(var a=o*i[1]+c,u=0;u<t.shape[1];++u)s[a+u]=e[r++];c+=t.shape[1]}))}var l=Sn(t.map((function(t){return t.shape})),e);return Fn(s,l,t[0].dtype)},o.prototype.neg=function(t){return Hh(t,"neg"),this.multiply(On(-1),t)},o.prototype.add=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),(function(t,e,n,r){return{real:t+n,imag:e+r}})):this.broadcastedBinaryOp(t,e,Dt(t.dtype,e.dtype),(function(t,e){return t+e}))},o.prototype.addN=function(t){var e=this;Hh(t,"addN");for(var n=t.map((function(t){return e.readSync(t.dataId)})),r=dr(t[0].shape,t[0].dtype),o=r.values,a=0;a<t.length;a++)for(var i=n[a],s=0;s<o.length;s++)o[s]+=i[s];return r.toTensor()},o.prototype.softmax=function(t,e){var n=O([e],t.shape),r=this.max(t,n),o=wn(r.shape,n),a=this.subtract(t,r.reshape(o)),i=this.exp(a),s=this.sum(i,n).reshape(o);return this.realDivide(i,s)},o.prototype.subtract=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),(function(t,e,n,r){return{real:t-n,imag:e-r}})):this.broadcastedBinaryOp(t,e,Dt(t.dtype,e.dtype),(function(t,e){return t-e}))},o.prototype.pow=function(t,e){return Hh([t,e],"pow"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.pow(t,e)}))},o.prototype.batchMatMul=function(t,e,n,r){Hh([t,e],"matMul");for(var o=n?t.shape[1]:t.shape[2],a=n?t.shape[2]:t.shape[1],i=r?e.shape[1]:e.shape[2],s=t.shape[0],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=n?[t.strides[0],1,t.strides[1]]:[t.strides[0],t.strides[1],1],h=l[0],f=l[1],d=l[2],p=r?[1,e.strides[1],e.strides[0]]:[e.strides[1],1,e.strides[0]],v=p[0],m=p[1],g=p[2],y=a*i,x=dr([s,a,i],t.dtype),b=x.values,w=this.blockSize,C=0;C<s;C++)for(var E=0;E<a;E+=w)for(var R=0;R<i;R+=w)for(var I=0;I<o;I+=w)for(var k=Math.min(E+w,a),S=Math.min(R+w,i),A=Math.min(I+w,o),D=E;D<k;D++)for(var T=R;T<S;T++){for(var N=0,F=I;F<A;F++)N+=u[C*h+D*f+F*d]*c[F*v+T*m+C*g];b[C*y+(D*i+T)]+=N}return x.toTensor()},o.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=this.batchMatMul(e,n,r,o);return a&&(u=this.add(u,a)),i&&(u=qh(this,u,i,s)),u},o.prototype.multiply=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),(function(t,e,n,r){return{real:t*n-e*r,imag:t*r+e*n}})):this.broadcastedBinaryOp(t,e,Dt(t.dtype,e.dtype),(function(t,e){return t*e}))},o.prototype.realDivide=function(t,e){Hh([t,e],"realDivide");return this.broadcastedBinaryOp(t,e,"float32",(function(t,e){return t/e}))},o.prototype.floorDiv=function(t,e){Hh([t,e],"floorDiv");return this.broadcastedBinaryOp(t,e,"int32",(function(t,e){return Math.floor(t/e)}))},o.prototype.sum=function(t,e){Hh(t,"sum"),Cn("sum",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,Dt(t.dtype,"int32")),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=0,f=0;f<i;++f)h+=u[l+f];s[c]=h}return a},o.prototype.prod=function(t,e){Hh(t,"sum");for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,Dt(t.dtype,"int32")),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=1,f=0;f<i;++f)h*=u[l+f];s[c]=h}return a},o.prototype.unsortedSegmentSum=function(t,e,n){Hh(t,"unsortedSegmentSum");for(var r=[],o=t.rank-e.rank,a=0;a<o;++a)e=e.expandDims(a+1);for(a=0;a<n;++a){var i=On(a,"int32"),s=Rc(i,e).asType("float32").mul(t).sum(0);r.push(s)}return Pr(r)},o.prototype.argMin=function(t,e){Hh(t,"argMin");var n=[e];Cn("argMin",n,t.rank);for(var r=bn(t.shape,n),o=r[0],a=r[1],i=Gn(o,"int32"),s=k(a),u=this.readSync(i.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var h=l*s,f=c[h],d=0,p=0;p<s;++p){var v=c[h+p];v<f&&(f=v,d=p)}u[l]=d}return i},o.prototype.argMax=function(t,e){Hh(t,"argMax");var n=[e];Cn("argMax",n,t.rank);for(var r=bn(t.shape,n),o=r[0],a=r[1],i=Gn(o,"int32"),s=k(a),u=this.readSync(i.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var h=l*s,f=c[h],d=0,p=0;p<s;++p){var v=c[h+p];v>f&&(f=v,d=p)}u[l]=d}return i},o.prototype.cumsum=function(t,e,n,r){if(Hh(t,"cumsum"),e!==t.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(t.rank-1)+" but got axis="+e);for(var o=Dt(t.dtype,"int32"),a=Gn(t.shape,o),i=this.readSync(a.dataId),s=this.readSync(t.dataId),u=t.shape[t.rank-1],c=r?function(t,e){return t+u-e-1}:function(t,e){return t+e},l=0;l<s.length;l+=u)for(var h=0;h<u;h++){var f=c(l,h);if(0===h)i[f]=n?0:s[f];else{var d=c(l,h-1);i[f]=n?s[d]+i[d]:s[f]+i[d]}}return a},o.prototype.equal=function(t,e){return Hh([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t===e?1:0}))},o.prototype.notEqual=function(t,e){return Hh([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t!==e?1:0}))},o.prototype.less=function(t,e){return Hh([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t<e?1:0}))},o.prototype.lessEqual=function(t,e){return Hh([t,e],"lessEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t<=e?1:0}))},o.prototype.greater=function(t,e){return Hh([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t>e?1:0}))},o.prototype.greaterEqual=function(t,e){return Hh([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t>=e?1:0}))},o.prototype.logicalNot=function(t){Hh(t,"logicalNot");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return this.makeOutput(n,t.shape,"bool")},o.prototype.logicalAnd=function(t,e){return Hh([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t&&e}))},o.prototype.logicalOr=function(t,e){return Hh([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t||e}))},o.prototype.select=function(t,e,n){Hh([t,e,n],"select");for(var r=this.readSync(t.dataId),o=this.readSync(e.dataId),a=this.readSync(n.dataId),i=Gn(e.shape,Dt(e.dtype,n.dtype)),s=this.readSync(i.dataId),u=0,c=0===t.rank||t.rank>1||1===e.rank?1:k(e.shape.slice(1)),l=0;l<r.length;l++)for(var h=0;h<c;h++)1===r[l]?s[u++]=o[l]:s[u++]=a[l];return i},o.prototype.where=function(t){Hh([t],"where");var e=this.readSync(t.dataId);return na(t.shape,e)},o.prototype.topk=function(t,e,n){return Hh(t,"topk"),ea(this.readSync(t.dataId),t.shape,t.dtype,e)},o.prototype.min=function(t,e){Hh(t,"min"),Cn("min",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];d<h&&(h=d)}s[c]=h}return a},o.prototype.minimum=function(t,e){return Hh([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.min(t,e)}))},o.prototype.mod=function(t,e){return Hh([t,e],"mod"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){var n=t%e;return t<0&&e<0||t>=0&&e>=0?n:(n+e)%e}))},o.prototype.max=function(t,e){Hh(t,"max"),Cn("max",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];d>h&&(h=d)}s[c]=h}return a},o.prototype.maximum=function(t,e){return Hh([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.max(t,e)}))},o.prototype.all=function(t,e){Hh(t,"all"),Cn("all",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];h=h&&d}s[c]=h}return a},o.prototype.any=function(t,e){Hh(t,"any"),Cn("any",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];h=h||d}s[c]=h}return a},o.prototype.squaredDifference=function(t,e){return Hh([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){var n=t-e;return n*n}))},o.prototype.ceil=function(t){Hh(t,"ceil");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.ceil(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.floor=function(t){Hh(t,"floor");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.floor(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.sign=function(t){Hh(t,"x");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)e[r]<0?n[r]=-1:e[r]>0?n[r]=1:n[r]=0;return this.makeOutput(n,t.shape,"float32")},o.prototype.isNaN=function(t){Hh(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isNaN(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},o.prototype.isInf=function(t){Hh(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Math.abs(e[r])===1/0&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},o.prototype.isFinite=function(t){Hh(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isFinite(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},o.prototype.round=function(t){Hh(t,"round");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=Math.floor(e[r]);e[r]-o<.5?n[r]=Math.floor(e[r]):e[r]-o>.5?n[r]=Math.ceil(e[r]):n[r]=o%2==0?o:o+1}return this.makeOutput(n,t.shape,"float32")},o.prototype.exp=function(t){Hh(t,"exp");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.exp(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.expm1=function(t){Hh(t,"expm1");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.expm1(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.log=function(t){Hh(t,"log");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.log(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.log1p=function(t){Hh(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.log1p(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.sqrt=function(t){Hh(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.rsqrt=function(t){Hh(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=1/Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.reciprocal=function(t){Hh(t,"reciprocal");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return this.makeOutput(n,t.shape,"float32")},o.prototype.linear=function(t){return t},o.prototype.relu=function(t){Hh(t,"relu");for(var e=Gn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.max(0,r[o]);return e},o.prototype.relu6=function(t){Hh(t,"relu");for(var e=Gn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.min(Math.max(0,r[o]),6);return e},o.prototype.prelu=function(t,e){return Hh([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return t<0?e*t:t}))},o.prototype.elu=function(t){Hh(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=n[r];e[r]=o>=0?o:Math.exp(o)-1}return this.makeOutput(e,t.shape,"float32")},o.prototype.eluDer=function(t,e){Hh([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),o=this.readSync(t.dataId),a=0;a<r.length;++a){var i=r[a];n[a]=i>=1?o[a]:o[a]*(i+1)}return this.makeOutput(n,e.shape,"float32")},o.prototype.selu=function(t){Hh(t,"selu");for(var e=bs,n=ws,r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>=0?n*i:e*(Math.exp(i)-1)}return this.makeOutput(r,t.shape,"float32")},o.prototype.clip=function(t,e,n){Hh(t,"clip");for(var r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>n?n:i<e?e:i}return this.makeOutput(r,t.shape,"float32")},o.prototype.abs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.abs(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.complexAbs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<t.size;++r){var o=n[2*r],a=n[2*r+1];e[r]=Math.hypot(o,a)}return this.makeOutput(e,t.shape,"float32")},o.prototype.int=function(t){Hh(t,"int");for(var e=new Int32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=n[r];return this.makeOutput(e,t.shape,"int32")},o.prototype.sigmoid=function(t){Hh(t,"sigmoid");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return this.makeOutput(e,t.shape,"float32")},o.prototype.softplus=function(t){Hh(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o]>-e,i=r[o]<e,s=Math.exp(r[o]),u=void 0;u=i?s:a?r[o]:Math.log(1+s),n[o]=u}return this.makeOutput(n,t.shape,"float32")},o.prototype.sin=function(t){Hh(t,"sin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.cos=function(t){Hh(t,"cos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.tan=function(t){Hh(t,"tan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.asin=function(t){Hh(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.acos=function(t){Hh(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.atan=function(t){Hh(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.atan2=function(t,e){return Hh([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.atan2(t,e)}))},o.prototype.sinh=function(t){Hh(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.cosh=function(t){Hh(t,"cosh");for(var e=new 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")},o.prototype.tanh=function(t){Hh(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=D(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.asinh=function(t){Hh(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")},o.prototype.acosh=function(t){Hh(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")},o.prototype.atanh=function(t){Hh(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")},o.prototype.erf=function(t){Hh(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=Math.sign(n[r]),a=Math.abs(n[r]),i=1/(1+.3275911*a);e[r]=o*(1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a))}return this.makeOutput(e,t.shape,"float32")},o.prototype.step=function(t,e){void 0===e&&(e=0),Hh(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o];isNaN(a)?n[o]=NaN:n[o]=a>0?1:e}return this.makeOutput(n,t.shape,"float32")},o.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.conv2d(e,n,r);return o&&(s=this.add(s,o)),a&&(s=qh(this,s,a,i)),s},o.prototype.conv2d=function(t,e,n){Hh([t,e],"conv2d");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c="channelsLast"===n.dataFormat,l=dr(n.outShape,t.dtype),h=t.strides[0],f=c?t.strides[1]:t.strides[2],d=c?t.strides[2]:1,p=c?1:t.strides[1],v=l.strides[0],m=c?l.strides[1]:l.strides[2],g=c?l.strides[2]:1,y=c?1:l.strides[1],x=this.readSync(t.dataId),b=this.readSync(e.dataId),w=l.values,C=0;C<n.batchSize;++C)for(var E=C*h,R=C*v,I=0;I<n.outHeight;++I)for(var k=R+I*m,S=I*n.strideHeight-u,A=0;A<r;A++){var D=S+A*a;if(!(D<0||D>=n.inHeight))for(var T=A*e.strides[0],N=E+D*f,F=0;F<n.outWidth;++F)for(var _=k+F*g,O=F*n.strideWidth-s,M=0;M<o;M++){var B=O+M*i;if(!(B<0||B>=n.inWidth))for(var P=N+B*d,L=T+M*e.strides[1],W=0;W<n.inChannels;++W){for(var U=x[P+W*p],V=0;V<n.outChannels;++V)w[_+V*y]+=U*b[L+V];L+=n.outChannels}}}return l.toTensor()},o.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,o=n.filterHeight,a=n.filterWidth,i=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,h=n.padInfo.top,f=dr(n.outShape,t.dtype),d=this.readSync(t.dataId),p=this.readSync(e.dataId),v=f.values,m=0;m<n.batchSize;++m)for(var g=m*t.strides[0],y=m*f.strides[0],x=0;x<n.outDepth;++x)for(var b=y+x*f.strides[1],w=x*n.strideDepth-c,C=0;C<r;C++){var E=w+C*i;if(!(E<0||E>=n.inDepth))for(var R=C*e.strides[0],I=g+E*t.strides[1],k=0;k<n.outHeight;++k)for(var S=b+k*f.strides[2],A=k*n.strideHeight-h,D=0;D<o;D++){var T=A+D*s;if(!(T<0||T>=n.inHeight))for(var N=R+D*e.strides[1],F=I+T*t.strides[2],_=0;_<n.outWidth;++_)for(var O=S+_*n.outChannels,M=_*n.strideWidth-l,B=0;B<a;B++){var P=M+B*u;if(!(P<0||P>=n.inWidth))for(var L=N+B*e.strides[2],W=F+P*n.inChannels,U=L,V=0;V<n.inChannels;++V){for(var z=d[W+V],G=0;G<n.outChannels;++G)v[O+G]+=z*p[U+G];U+=n.outChannels}}}}return f.toTensor()},o.prototype.conv2dDerInput=function(t,e,n){Hh([t,e],"conv2dDerInput");for(var r=dr(n.inShape,"float32"),o=r.values,a=this.readSync(t.dataId),i=this.readSync(e.dataId),s=e.strides,u=s[0],c=s[1],l=s[2],h=n.batchSize,f=n.filterHeight,d=n.filterWidth,p=n.inChannels,v=n.inHeight,m=n.inWidth,g=n.outChannels,y=n.outHeight,x=n.outWidth,b=n.strideHeight,w=n.strideWidth,C=n.dataFormat,E=f-1-n.padInfo.top,R=d-1-n.padInfo.left,I="channelsLast"===C,k=r.strides[0],S=I?r.strides[1]:r.strides[2],A=I?r.strides[2]:1,D=I?1:r.strides[1],T=t.strides[0],N=I?t.strides[1]:t.strides[2],F=I?t.strides[2]:1,_=I?1:t.strides[1],O=0;O<h;++O)for(var M=0;M<p;++M)for(var B=0;B<v;++B)for(var P=B-E,L=Math.max(0,Math.ceil(P/b)),W=Math.min(y,(f+P)/b),U=0;U<m;++U){for(var V=U-R,z=Math.max(0,Math.ceil(V/w)),G=Math.min(x,(d+V)/w),H=0,q=L;q<W;++q)for(var K=q*b-P,j=z;j<G;++j)for(var X=T*O+N*q+F*j,Y=u*(f-1-K)+c*(d-1-(j*w-V))+l*M,$=0;$<g;++$){H+=a[X+_*$]*i[Y+$]}o[k*O+S*B+A*U+D*M]=H}return r.toTensor()},o.prototype.conv3dDerInput=function(t,e,n){for(var r=dr(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(t.dataId),h=t.strides,f=h[0],d=h[1],p=h[2],v=h[3],m=this.readSync(e.dataId),g=e.strides,y=g[0],x=g[1],b=g[2],w=g[3],C=n.batchSize,E=n.filterDepth,R=n.filterHeight,I=n.filterWidth,k=n.inChannels,S=n.inDepth,A=n.inHeight,D=n.inWidth,T=n.outChannels,N=n.outDepth,F=n.outHeight,_=n.outWidth,O=n.strideDepth,M=n.strideHeight,B=n.strideWidth,P=E-1-n.padInfo.front,L=R-1-n.padInfo.top,W=I-1-n.padInfo.left,U=0;U<C;++U)for(var V=0;V<k;++V)for(var z=0;z<S;++z)for(var G=z-P,H=Math.max(0,Math.ceil(G/O)),q=Math.min(N,(E+G)/O),K=0;K<A;++K)for(var j=K-L,X=Math.max(0,Math.ceil(j/M)),Y=Math.min(F,(R+j)/M),$=0;$<D;++$){for(var Q=$-W,J=Math.max(0,Math.ceil(Q/B)),Z=Math.min(_,(I+Q)/B),tt=0,et=H;et<q;++et)for(var nt=et*O-G,rt=X;rt<Y;++rt)for(var ot=rt*M-j,at=J;at<Z;++at)for(var it=f*U+d*et+p*rt+v*at,st=y*(E-1-nt)+x*(R-1-ot)+b*(I-1-(at*B-Q))+w*V,ut=0;ut<T;++ut){tt+=l[it+ut]*m[st+ut]}o[i*U+s*z+u*K+c*$+V]=tt}return r.toTensor()},o.prototype.conv2dDerFilter=function(t,e,n){Hh([t,e],"conv2dDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s="channelsLast"===n.dataFormat,u=dr(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,h=this.bufferSync(t),f=this.bufferSync(e),d=0;d<a;++d)for(var p=Math.max(0,Math.ceil((l-d)/r)),v=Math.min(n.outHeight,(n.inHeight+l-d)/r),m=0;m<i;++m)for(var g=Math.max(0,Math.ceil((c-m)/o)),y=Math.min(n.outWidth,(n.inWidth+c-m)/o),x=0;x<n.inChannels;++x)for(var b=0;b<n.outChannels;++b){for(var w=0,C=0;C<n.batchSize;++C)for(var E=p;E<v;++E)for(var R=d+E*r-l,I=g;I<y;++I){var k=m+I*o-c;w+=s?h.get(C,R,k,x)*f.get(C,E,I,b):h.get(C,x,R,k)*f.get(C,b,E,I)}u.set(w,d,m,x,b)}return u.toTensor()},o.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=dr(n.filterShape,"float32"),l=c.values,h=c.strides,f=h[0],d=h[1],p=h[2],v=h[3],m=this.readSync(e.dataId),g=e.strides,y=g[0],x=g[1],b=g[2],w=g[3],C=this.readSync(t.dataId),E=t.strides,R=E[0],I=E[1],k=E[2],S=E[3],A=n.padInfo.front,D=n.padInfo.left,T=n.padInfo.top,N=0;N<i;++N)for(var F=Math.max(0,Math.ceil((A-N)/r)),_=Math.min(n.outDepth,(n.inDepth+A-N)/r),O=N*f,M=0;M<s;++M)for(var B=Math.max(0,Math.ceil((T-M)/o)),P=Math.min(n.outHeight,(n.inHeight+T-M)/o),L=M*d+O,W=0;W<u;++W)for(var U=Math.max(0,Math.ceil((D-W)/a)),V=Math.min(n.outWidth,(n.inWidth+D-W)/a),z=W*p+L,G=0;G<n.inChannels;++G)for(var H=G*v+z,q=0;q<n.outChannels;++q){for(var K=0,j=0;j<n.batchSize;++j)for(var X=j*R,Y=j*y,$=F;$<_;++$)for(var Q=(N+$*r-A)*I+X,J=$*x+Y,Z=B;Z<P;++Z)for(var tt=(M+Z*o-T)*k+Q,et=Z*b+J,nt=U;nt<V;++nt){var rt=nt*w+et;K+=C[(W+nt*a-D)*S+tt+G]*m[rt+q]}l[H+q]=K}return c.toTensor()},o.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return o&&(s=this.add(s,o)),a&&(s=qh(this,s,a,i)),s},o.prototype.depthwiseConv2D=function(t,e,n){Hh([t,e],"depthwiseConv2D");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=dr(n.outShape,t.dtype),h=this.readSync(t.dataId),f=this.readSync(e.dataId),d=l.values,p=0;p<n.batchSize;++p)for(var v=p*t.strides[0],m=p*l.strides[0],g=0;g<n.outHeight;++g)for(var y=m+g*l.strides[1],x=g*n.strideHeight-s,b=0;b<r;++b){var w=x+b*a;if(!(w<0||w>=n.inHeight))for(var C=b*e.strides[0],E=v+w*t.strides[1],R=0;R<n.outWidth;++R)for(var I=y+R*l.strides[2],k=R*n.strideWidth-u,S=0;S<o;++S){var A=k+S*i;if(!(A<0||A>=n.inWidth))for(var D=C+S*e.strides[1],T=E+A*n.inChannels,N=I,F=D,_=0;_<n.inChannels;++_){for(var O=h[T+_],M=0;M<c;++M)d[N+M]+=O*f[F+M];N+=c,F+=c}}}return l.toTensor()},o.prototype.depthwiseConv2DDerInput=function(t,e,n){Hh([t,e],"depthwiseConv2DDerInput");for(var r=dr(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=this.readSync(t.dataId),l=t.strides,h=l[0],f=l[1],d=l[2],p=this.readSync(e.dataId),v=e.strides,m=v[0],g=v[1],y=v[2],x=n.batchSize,b=n.filterHeight,w=n.filterWidth,C=n.inChannels,E=n.inHeight,R=n.inWidth,I=n.outChannels,k=n.outHeight,S=n.outWidth,A=n.strideHeight,D=n.strideWidth,T=b-1-n.padInfo.top,N=w-1-n.padInfo.left,F=I/C,_=0;_<x;++_)for(var O=0;O<C;++O)for(var M=0;M<E;++M)for(var B=M-T,P=Math.max(0,Math.ceil(B/A)),L=Math.min(k,(b+B)/A),W=0;W<R;++W){for(var U=W-N,V=Math.max(0,Math.ceil(U/D)),z=Math.min(S,(w+U)/D),G=0,H=P;H<L;++H)for(var q=H*A-B,K=V;K<z;++K)for(var j=h*_+f*H+d*K,X=m*(b-1-q)+g*(w-1-(K*D-U))+y*O,Y=0;Y<F;++Y){G+=c[j+(O*F+Y)]*p[X+Y]}o[i*_+s*M+u*W+O]=G}return r.toTensor()},o.prototype.depthwiseConv2DDerFilter=function(t,e,n){Hh([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=dr(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,h=this.bufferSync(t),f=this.bufferSync(e),d=0;d<a;++d)for(var p=Math.max(0,Math.ceil((c-d)/r)),v=Math.min(n.outHeight,(n.inHeight+c-d)/r),m=0;m<i;++m)for(var g=Math.max(0,Math.ceil((u-m)/o)),y=Math.min(n.outWidth,(n.inWidth+u-m)/o),x=0;x<n.outChannels;++x){for(var b=Math.trunc(x/l),w=x%l,C=0,E=0;E<n.batchSize;++E)for(var R=p;R<v;++R)for(var I=d+R*r-c,k=g;k<y;++k){var S=m+k*o-u;C+=h.get(E,I,S,b)*f.get(E,R,k,x)}s.set(C,d,m,b,w)}return s.toTensor()},o.prototype.tile=function(t,e){return Hh(t,"tile"),ta(this.bufferSync(t),e)},o.prototype.pad=function(t,e,n){Hh(t,"pad");var r=e.map((function(e,n){return e[0]+t.shape[n]+e[1]})),o=e.map((function(t){return t[0]})),a=this.bufferSync(t),i=dr(r,t.dtype);0!==n&&i.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),c=u.map((function(t,e){return t+o[e]}));i.set.apply(i,[a.get.apply(a,u)].concat(c))}return i.toTensor()},o.prototype.transpose=function(t,e){Hh(t,"transpose");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[e[r]];var o=this.readSync(t.dataId),a=dr(n,t.dtype),i=this.bufferSync(t);for(r=0;r<t.size;++r){for(var s=i.indexToLoc(r),u=new Array(s.length),c=0;c<u.length;c++)u[c]=s[e[c]];var l=a.locToIndex(u);a.values[l]=o[r]}return a.toTensor()},o.prototype.gather=function(t,e,n){Hh([t,e],"gather");var r=t.shape.slice(),o=this.readSync(e.dataId);r[n]=o.length;for(var a=dr(r,t.dtype),i=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=o[u[n]];var l=i.locToIndex(c);a.values[s]=i.values[l]}return a.toTensor()},o.prototype.batchToSpaceND=function(t,e,n){Hh([t],"batchToSpaceND");var r=e.reduce((function(t,e){return t*e})),o=zr(t.shape,e,r),a=Gr(o.length,e.length),i=Hr(t.shape,e,r),s=qr(n,e.length),u=Kr(i,n,e.length);return t.reshape(o).transpose(a).reshape(i).slice(s,u)},o.prototype.spaceToBatchND=function(t,e,n){Hh([t],"spaceToBatchND");var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=zr(i.shape,e,r,!1),u=Gr(s.length,e.length,!1),c=Hr(i.shape,e,r,!1);return i.reshape(s).transpose(u).reshape(c)},o.prototype.pool=function(t,e,n){Hh(t,"pool");for(var r=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=e.padInfo.top,l=e.padInfo.left,h="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,f=this.readSync(t.dataId),d=dr(e.outShape,t.dtype),p=d.values,v=e.outShape[1]*e.outShape[2]*e.outShape[3],m=e.outShape[2]*e.outShape[3],g=e.outShape[3],y=0;y<e.batchSize;++y)for(var x=y*v,b=y*t.strides[0],w=0;w<e.inChannels;++w)for(var C=0;C<e.outHeight;++C)for(var E=C*r-c,R=Math.max(0,E),I=Math.min(e.inHeight,s+E),k=x+C*m,S=0;S<e.outWidth;++S){for(var A=S*o-l,D=Math.max(0,A),T=Math.min(e.inWidth,u+A),N=h,F=0,_=0,O=R;O<I;O+=a){for(var M=b+O*t.strides[1],B=D;B<T;B+=i){var P=f[M+B*t.strides[2]+w];"max"===n&&P>N?N=P:"avg"===n&&(F+=P,_++)}if(isNaN(N))break}p[k+S*g+w]="avg"===n?F/_:N}return d.toTensor()},o.prototype.maxPool=function(t,e){return this.pool(t,e,"max")},o.prototype.maxPoolPositions=function(t,e){for(var n=dr(e.outShape,"int32"),r=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=e.padInfo.top,l=e.padInfo.left,h=this.bufferSync(t),f=0;f<e.batchSize;++f)for(var d=0;d<e.inChannels;++d)for(var p=0;p<e.outHeight;++p){for(var v=p*r-c,m=v;m<0;)m+=a;for(var g=Math.min(e.inHeight,s+v),y=0;y<e.outWidth;++y){for(var x=y*o-l,b=x;b<0;)b+=i;for(var w=Math.min(e.inWidth,u+x),C=Number.NEGATIVE_INFINITY,E=-1,R=m;R<g;R+=a)for(var I=R-v,k=b;k<w;k+=i){var S=k-x,A=h.get(f,R,k,d);A>C&&(C=A,E=I*u+S)}n.set(E,f,p,y,d)}}return n.toTensor()},o.prototype.maxPoolBackprop=function(t,e,n,r){Hh([e,n],"maxPoolBackprop");for(var o=this.maxPoolPositions(e,r),a=r.strideHeight,i=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,c=r.effectiveFilterHeight,l=r.effectiveFilterWidth,h=l-1-r.padInfo.left,f=c-1-r.padInfo.top,d=dr(e.shape,"float32"),p=this.bufferSync(o),v=this.bufferSync(t),m=0;m<r.batchSize;++m)for(var g=0;g<r.inChannels;++g)for(var y=0;y<r.inHeight;++y)for(var x=0;x<r.inWidth;++x){for(var b=y-f,w=x-h,C=0,E=0;E<c;E+=s){var R=(b+E)/a;if(!(R<0||R>=r.outHeight||Math.floor(R)!==R))for(var I=0;I<l;I+=u){var k=(w+I)/i;if(!(k<0||k>=r.outWidth||Math.floor(k)!==k)){var S=c*l-1-p.get(m,R,k,g)===E*l+I?1:0;if(0!==S)C+=v.get(m,R,k,g)*S}}}d.set(C,m,y,x,g)}return d.toTensor()},o.prototype.avgPoolBackprop=function(t,e,n){Hh([t,e],"avgPoolBackprop");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=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,d=dr(e.shape,"float32"),p=1/(a*i),v=this.bufferSync(t),m=0;m<n.batchSize;++m)for(var g=0;g<n.inChannels;++g)for(var y=0;y<n.inHeight;++y)for(var x=0;x<n.inWidth;++x){for(var b=y-f,w=x-h,C=0,E=0;E<c;E+=s){var R=(b+E)/r;if(!(R<0||R>=n.outHeight||Math.floor(R)!==R))for(var I=0;I<l;I+=u){var k=(w+I)/o;if(!(k<0||k>=n.outWidth||Math.floor(k)!==k))C+=v.get(m,R,k,g)}}d.set(C*p,m,y,x,g)}return d.toTensor()},o.prototype.pool3d=function(t,e,n){Hh(t,"pool3d");for(var r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.front,d=e.padInfo.top,p=e.padInfo.left,v="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=this.readSync(t.dataId),g=dr(e.outShape,t.dtype),y=g.values,x=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],b=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],C=e.outShape[4],E=0;E<e.batchSize;++E)for(var R=E*x,I=E*t.strides[0],k=0;k<e.inChannels;++k)for(var S=0;S<e.outDepth;++S){for(var A=S*r-f,D=A;D<0;)D+=i;for(var T=Math.min(e.inDepth,c+A),N=R+S*b,F=0;F<e.outHeight;++F){for(var _=F*o-d,O=_;O<0;)O+=s;for(var M=Math.min(e.inHeight,l+_),B=N+F*w,P=0;P<e.outWidth;++P){for(var L=P*a-p,W=L;W<0;)W+=u;for(var U=Math.min(e.inWidth,h+L),V=B+P*C,z=v,G=0,H=0,q=D;q<T;q+=i){for(var K=I+q*t.strides[1],j=O;j<M;j+=s){for(var X=K+j*t.strides[2],Y=W;Y<U;Y+=u){var $=m[X+Y*t.strides[3]+k];if("max"===n&&$>z?z=$:"avg"===n&&(G+=$,H++),isNaN(z))break}if(isNaN(z))break}if(isNaN(z))break}y[V+k]="avg"===n?G/H:z}}}return g.toTensor()},o.prototype.avgPool3d=function(t,e){return Hh(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},o.prototype.avgPool3dBackprop=function(t,e,n){Hh([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,h=n.dilationWidth,f=n.effectiveFilterDepth,d=n.effectiveFilterHeight,p=n.effectiveFilterWidth,v=f-1-n.padInfo.front,m=p-1-n.padInfo.left,g=d-1-n.padInfo.top,y=dr(e.shape,"float32"),x=1/(i*s*u),b=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var C=0;C<n.inChannels;++C)for(var E=0;E<n.inDepth;++E)for(var R=0;R<n.inHeight;++R)for(var I=0;I<n.inWidth;++I){for(var k=E-v,S=R-g,A=I-m,D=0,T=0;T<f;T+=c){var N=(k+T)/r;if(!(N<0||N>=n.outDepth||Math.floor(N)!==N))for(var F=0;F<d;F+=l){var _=(S+F)/o;if(!(_<0||_>=n.outHeight||Math.floor(_)!==_))for(var O=0;O<p;O+=h){var M=(A+O)/a;if(!(M<0||M>=n.outWidth||Math.floor(M)!==M))D+=b.get(w,N,_,M,C)}}}y.set(D*x,w,E,R,I,C)}return y.toTensor()},o.prototype.maxPool3d=function(t,e){return Hh(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},o.prototype.maxPool3dPositions=function(t,e){for(var n=dr(e.outShape,"int32"),r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.front,d=e.padInfo.top,p=e.padInfo.left,v=this.bufferSync(t),m=0;m<e.batchSize;++m)for(var g=0;g<e.inChannels;++g)for(var y=0;y<e.outDepth;++y){for(var x=y*r-f,b=x;b<0;)b+=i;for(var w=Math.min(e.inDepth,c+x),C=0;C<e.outHeight;++C){for(var E=C*o-d,R=E;R<0;)R+=s;for(var I=Math.min(e.inHeight,l+E),k=0;k<e.outWidth;++k){for(var S=k*a-p,A=S;A<0;)A+=u;for(var D=Math.min(e.inWidth,h+S),T=Number.NEGATIVE_INFINITY,N=-1,F=b;F<w;F+=i)for(var _=F-x,O=R;O<I;O+=s)for(var M=O-E,B=A;B<D;B+=u){var P=B-S,L=v.get(m,F,O,B,g);L>=T&&(T=L,N=_*l*h+M*l+P)}n.set(N,m,y,C,k,g)}}}return n.toTensor()},o.prototype.maxPool3dBackprop=function(t,e,n,r){Hh([e,n],"maxPool3dBackprop");for(var o=this.maxPool3dPositions(e,r),a=r.strideDepth,i=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,h=r.effectiveFilterDepth,f=r.effectiveFilterHeight,d=r.effectiveFilterWidth,p=h-1-r.padInfo.front,v=d-1-r.padInfo.left,m=f-1-r.padInfo.top,g=dr(e.shape,"float32"),y=this.bufferSync(o),x=this.bufferSync(t),b=0;b<r.batchSize;++b)for(var w=0;w<r.inChannels;++w)for(var C=0;C<r.inDepth;++C)for(var E=0;E<r.inHeight;++E)for(var R=0;R<r.inWidth;++R){for(var I=C-p,k=E-m,S=R-v,A=0,D=0;D<h;D+=u){var T=(I+D)/a;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var N=0;N<f;N+=c){var F=(k+N)/i;if(!(F<0||F>=r.outHeight||Math.floor(F)!==F))for(var _=0;_<d;_+=l){var O=(S+_)/s;if(!(O<0||O>=r.outWidth||Math.floor(O)!==O)){var M=h*f*d-1-y.get(b,T,F,O,w)===D*f*d+N*d+_?1:0;if(0!==M)A+=x.get(b,T,F,O,w)*M}}}}g.set(A,b,C,E,R,w)}return g.toTensor()},o.prototype.cast=function(t,e){return Po(t,e,this)},o.prototype.reshape=function(t,e){return Lo(t,e)},o.prototype.avgPool=function(t,e){return Hh(t,"avgPool"),this.pool(t,e,"avg").toFloat()},o.prototype.resizeBilinear=function(t,e,n,r){Hh(t,"resizeBilinear");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(k([a,e,n,u])),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],f=[r&&e>1?e-1:e,r&&n>1?n-1:n],d=0,p=h[0]/f[0],v=h[1]/f[1],m=0;m<a;m++)for(var g=0;g<e;g++)for(var y=p*g,x=Math.floor(y),b=y-x,w=Math.min(i-1,Math.ceil(y)),C=m*t.strides[0]+x*t.strides[1],E=m*t.strides[0]+w*t.strides[1],R=0;R<n;R++)for(var I=v*R,S=Math.floor(I),A=I-S,D=Math.min(s-1,Math.ceil(I)),T=C+S*t.strides[2],N=E+S*t.strides[2],F=C+D*t.strides[2],_=E+D*t.strides[2],O=0;O<u;O++){var M=c[T+O],B=c[N+O],P=M+(c[F+O]-M)*A,L=P+(B+(c[_+O]-B)*A-P)*b;l[d++]=L}return Fn(l,[a,e,n,u])},o.prototype.resizeBilinearBackprop=function(t,e,n){Hh([t,e],"resizeBilinearBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),f=[n&&c>1?a-1:a,n&&l>1?i-1:i],d=[n&&c>1?c-1:c,n&&l>1?l-1:l],p=f[0]/d[0],v=f[1]/d[1],m=this.readSync(t.dataId),g=0,y=0;y<o;y++)for(var x=y*e.strides[0],b=0;b<c;b++)for(var w=b*p,C=Math.floor(w),E=Math.min(Math.ceil(w),a-1),R=x+C*e.strides[1],I=x+E*e.strides[1],k=w-C,S=1-k,A=0;A<l;A++)for(var D=A*v,T=Math.floor(D),N=Math.min(Math.ceil(D),i-1),F=D-T,_=1-F,O=R+T*e.strides[2],M=R+N*e.strides[2],B=I+T*e.strides[2],P=I+N*e.strides[2],L=S*_,W=S*F,U=k*_,V=k*F,z=0;z<s;z++){var G=m[g++];h[O+z]+=G*L,h[M+z]+=G*W,h[B+z]+=G*U,h[P+z]+=G*V}return Ln(h,[o,i,a,s],e.dtype)},o.prototype.resizeNearestNeighbor=function(t,e,n,r){Hh(t,"resizeNearestNeighbor");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(a*e*n*u),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],f=[r&&e>1?e-1:e,r&&n>1?n-1:n],d=h[0]/f[0],p=h[1]/f[1],v=0,m=0;m<a;m++)for(var g=m*t.strides[0],y=0;y<e;y++)for(var x=d*y,b=g+Math.min(i-1,r?Math.round(x):Math.floor(x))*t.strides[1],w=0;w<n;w++)for(var C=p*w,E=b+Math.min(s-1,r?Math.round(C):Math.floor(C))*t.strides[2],R=0;R<u;R++){var I=c[E+R];l[v++]=I}return Fn(l,[a,e,n,u],t.dtype)},o.prototype.resizeNearestNeighborBackprop=function(t,e,n){Hh([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),f=this.readSync(t.dataId),d=[n&&c>1?a-1:a,n&&l>1?i-1:i],p=[n&&c>1?c-1:c,n&&l>1?l-1:l],v=d[0]/p[0],m=d[1]/p[1],g=1/v,y=1/m,x=2*Math.ceil(g)+2,b=2*Math.ceil(y)+2,w=0;w<o;w++)for(var C=w*e.strides[0],E=0;E<a;E++)for(var R=C+E*e.strides[1],I=Math.floor(E*g),k=Math.floor(I-x/2),S=0;S<i;S++)for(var A=R+S*e.strides[2],D=Math.floor(S*y),T=Math.floor(D-b/2),N=0;N<s;N++){for(var F=0,_=0;_<x;_++){var O=_+k;if(!(O<0||O>=c)){var M=C+O*t.strides[1],B=O*v;if(E===Math.min(a-1,n?Math.round(B):Math.floor(B)))for(var P=0;P<b;P++){var L=P+T;if(!(L<0||L>=l)){var W=M+L*t.strides[2],U=L*m;S===Math.min(i-1,n?Math.round(U):Math.floor(U))&&(F+=f[W+N])}}}}h[A+N]=F}return Ln(h,e.shape,e.dtype)},o.prototype.batchNormalization=function(t,e,n,r,o,a){Hh([t,e,n,o,a],"batchNorm");for(var i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=o?this.readSync(o.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),h=new Float32Array(i.length),f=l.length,d=c.length,p=u.length,v=s.length,m=0,g=0,y=0,x=0,b=0;b<i.length;++b)h[b]=l[m++]+(i[b]-s[g++])*c[y++]/Math.sqrt(u[x++]+r),m>=f&&(m=0),g>=v&&(g=0),y>=d&&(y=0),x>=p&&(x=0);return Ln(h,t.shape)},o.prototype.localResponseNormalization4D=function(t,e,n,r,o){Hh(t,"localResponseNormalization4D");var a=t.shape[3],i=a-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(t){for(var n=t%a,r=t-n+Math.max(0,n-e),o=t-n+Math.min(n+e,i),u=0;r<=o;r++){var c=s[r];u+=c*c}return u}for(var h=0;h<u;h++){var f=l(h),d=s[h]*Math.pow(n+r*f,-o);c[h]=d}return Ln(c,t.shape)},o.prototype.LRNGrad=function(t,e,n,r,o,a,i){Hh(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,d=0;d<f;d++){for(var p=d%s,v=d-p+Math.max(0,p-r),m=d-p+Math.min(s,p+r+1),g=0,y=v;y<m;y++)g+=Math.pow(c[y],2);g=a*g+o;for(y=v;y<m;y++){var x=-2*a*i*c[y]*l[d]/g;d===y&&(x+=Math.pow(g,-i)),x*=u[d],h[y]+=x}}return Ln(h,t.shape)},o.prototype.multinomial=function(t,e,n,r){Hh(t,"multinomial");for(var o=e?t:go(t),a=o.shape[0],i=o.shape[1],s=Gn([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(o.dataId),l=0;l<a;++l){var h=l*i,f=new Float32Array(i-1);f[0]=c[h];for(var d=1;d<f.length;++d)f[d]=f[d-1]+c[h+d];for(var p=cr(r.toString()),v=l*n,m=0;m<n;++m){var g=p();u[v+m]=f.length;for(var y=0;y<f.length;y++)if(g<f[y]){u[v+m]=y;break}}}return s},o.prototype.oneHot=function(t,e,n,r){Hh(t,"oneHot");var o=new Float32Array(t.size*e);o.fill(r);for(var a=this.readSync(t.dataId),i=0;i<t.size;++i)a[i]>=0&&a[i]<e&&(o[i*e+a[i]]=n);return Bn(o,[t.size,e],"int32")},o.prototype.nonMaxSuppression=function(t,e,n,r,o){return Hh(t,"nonMaxSuppression"),jo(this.readSync(t.dataId),this.readSync(e.dataId),n,r,o)},o.prototype.fft=function(t){return this.fftBatch(t,!1)},o.prototype.ifft=function(t){return this.fftBatch(t,!0)},o.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],o=dr(t.shape,"float32"),a=dr(t.shape,"float32"),i=Tn(t).as2D(n,r),s=Nn(t).as2D(n,r),u=0;u<n;u++)for(var c=i.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),h=Dn(c,l),f=this.readSync(this.fftImpl(h,e).dataId),d=0;d<r;d++){var p=zo(f,d);o.values[u*r+d]=p.real,a.values[u*r+d]=p.imag}return Dn(o.toTensor(),a.toTensor()).as2D(n,r)},o.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var o=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(o=Dn(Tn(o).div(On(r)),Nn(o).div(On(r)))),o}var a=this.readSync(t.dataId),i=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(a,r,e));return Dn(i.real,i.imag).as2D(t.shape[0],t.shape[1])},o.prototype.isExponentOf2=function(t){return 0==(t&t-1)},o.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),o=e/2,a=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=0;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),i=Dn(a.real,a.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=2;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),u=Dn(s.real,s.imag).as1D();i=this.fftRadix2(i,o,n),u=this.fftRadix2(u,o,n);var c=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),o=0;o<Math.ceil(t/2);o++){var a=(e?2:-2)*Math.PI*(o/t);n[o]=Math.cos(a),r[o]=Math.sin(a)}return{real:n,imag:r}}(e,n),l=Dn(c.real,c.imag).mul(u),h=i.add(l),f=i.sub(l),d=Tn(h).concat(Tn(f)),p=Nn(h).concat(Nn(f));return Dn(d,p).as1D()},o.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),o=0;o<e;o++){for(var a=0,i=0,s=0;s<e;s++){var u=Ho(o*s,e,n),c=zo(t,s);a+=c.real*u.real-c.imag*u.imag,i+=c.real*u.imag+c.imag*u.real}n&&(a/=e,i/=e),Go(r,a,i,o)}return r},o.prototype.depthToSpace=function(t,e,n){C("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),C(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));for(var r=t.shape[0],o=t.shape[1],a=t.shape[2],i=t.shape[3],s=o*e,u=a*e,c=i/(e*e),l=this.readSync(t.dataId),h=new Float32Array(r*s*u*c),f=0,d=0;d<r;++d)for(var p=0;p<s;++p)for(var v=Math.floor(p/e),m=p%e,g=0;g<u;++g)for(var y=Math.floor(g/e),x=(m*e+g%e)*c,b=0;b<c;++b){var w=b+x+i*(y+a*(v+o*d));h[f++]=l[w]}return Ln(h,[r,s,u,c])},o.prototype.broadcastedBinaryOp=function(t,e,n,r){var o=Ro(t.shape,e.shape),a=dr(o,n),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Co(t.shape,o),c=Co(e.shape,o),l=a.values;if(u.length+c.length===0)for(var h=0;h<l.length;++h)l[h]=r(i[h%i.length],s[h%s.length]);else{var f=this.bufferSync(t),d=this.bufferSync(e),p=function(n){var o=a.indexToLoc(n),h=o.slice(-t.rank);u.forEach((function(t){return h[t]=0}));var p=f.locToIndex(h),v=o.slice(-e.rank);c.forEach((function(t){return v[t]=0}));var m=d.locToIndex(v);l[n]=r(i[p],s[m])};for(h=0;h<l.length;++h)p(h)}return 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Wf)}catch(t){}var Uf="model",Vf=".json",zf=".weights.bin";function Gf(t){return new Promise((function(t){return setTimeout(t)})).then(t)}var Hf=function(){function t(e){if(!i().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(t.URL_SCHEME)&&(e=e.slice(t.URL_SCHEME.length)),null!=e&&0!==e.length||(e=Uf),this.modelTopologyFileName=e+Vf,this.weightDataFileName=e+zf}return t.prototype.save=function(t){return n(this,void 0,void 0,(function(){var e,n,o,a,i,s;return r(this,(function(r){switch(r.label){case 0:if("undefined"==typeof document)throw new Error("Browser downloads are not supported in this environment since `document` is not present");if(e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer))return[3,1];throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 1:return n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],o={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:n},a=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:"application/json"})),(i=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor).download=this.modelTopologyFileName,i.href=a,[4,Gf((function(){return i.dispatchEvent(new MouseEvent("click"))}))];case 2:return r.sent(),null==t.weightData?[3,4]:((s=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,s.href=e,[4,Gf((function(){return s.dispatchEvent(new MouseEvent("click"))}))]);case 3:r.sent(),r.label=4;case 4:return[2,{modelArtifactsInfo:vf(t)}]}}))}))},t.URL_SCHEME="downloads://",t}(),qf=function(){function t(t){if(null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+t);this.files=t}return t.prototype.load=function(){return n(this,void 0,void 0,(function(){var t,e,n=this;return r(this,(function(r){return t=this.files[0],e=this.files.slice(1),[2,new Promise((function(r,o){var a=new FileReader;a.onload=function(a){var i=JSON.parse(a.target.result),s=i.modelTopology;if(null!=s){0===e.length&&r({modelTopology:s});var u=i.weightsManifest;if(null!=u){var c;try{c=n.checkManifestAndWeightFiles(u,e)}catch(t){return void o(t)}var l=[],h=[],f=[];u.forEach((function(t){t.paths.forEach((function(t){h.push(t),f.push(null)})),l.push.apply(l,t.weights)})),u.forEach((function(t){t.paths.forEach((function(t){var e=new FileReader;e.onload=function(e){var n=e.target.result,o=h.indexOf(t);f[o]=n,-1===f.indexOf(null)&&r({modelTopology:s,weightSpecs:l,weightData:df(f),format:i.format,generatedBy:i.generatedBy,convertedBy:i.convertedBy,userDefinedMetadata:i.userDefinedMetadata})},e.onerror=function(e){return o("Failed to weights data from file of path 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BrowserFiles supports loading Keras-style tf.Model artifacts only.")},a.readAsText(t)}))]}))}))},t.prototype.checkManifestAndWeightFiles=function(t,e){for(var n=[],r=e.map((function(t){return pf(t.name)})),o={},a=0,i=t;a<i.length;a++){i[a].paths.forEach((function(t){var a=pf(t);if(-1!==n.indexOf(a))throw new Error("Duplicate file basename found in weights manifest: '"+a+"'");if(n.push(a),-1===r.indexOf(a))throw new Error("Weight file with basename '"+a+"' is not provided.");o[t]=e[r.indexOf(a)]}))}if(n.length!==e.length)throw new Error("Mismatch in the number of files in weights manifest ("+n.length+") and the number of weight files provided ("+e.length+").");return o},t}();function Kf(t,e,n,r){!function(t){C(null!=t&&Array.isArray(t)&&t.length>0,(function(){return"promises must be a none empty array"}))}(t),function(t,e){C(t>=0&&t<=1,(function(){return"Progress fraction must be in range [0, 1], but got startFraction "+t})),C(e>=0&&e<=1,(function(){return"Progress fraction must be in 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/*! *****************************************************************************
Copyright (c) Microsoft Corporation.

Permission to use, copy, modify, and/or distribute this software for any
purpose with or without fee is hereby granted.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
PERFORMANCE OF THIS SOFTWARE.
***************************************************************************** */
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    while (_) try {
      if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
      if (y = 0, t) op = [op[0] & 2, t.value];
      switch (op[0]) {
        case 0:
        case 1:
          t = op;
          break;
        case 4:
          _.label++;
          return {
            value: op[1],
            done: false
          };
        case 5:
          _.label++;
          y = op[1];
          op = [0];
          continue;
        case 7:
          op = _.ops.pop();
          _.trys.pop();
          continue;
        default:
          if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) {
            _ = 0;
            continue;
          }
          if (op[0] === 3 && (!t || op[1] > t[0] && op[1] < t[3])) {
            _.label = op[1];
            break;
          }
          if (op[0] === 6 && _.label < t[1]) {
            _.label = t[1];
            t = op;
            break;
          }
          if (t && _.label < t[2]) {
            _.label = t[2];
            _.ops.push(op);
            break;
          }
          if (t[2]) _.ops.pop();
          _.trys.pop();
          continue;
      }
      op = body.call(thisArg, _);
    } catch (e) {
      op = [6, e];
      y = 0;
    } finally {
      f = t = 0;
    }
    if (op[0] & 5) throw op[1];
    return {
      value: op[0] ? op[1] : void 0,
      done: true
    };
  }
}
function __createBinding(o, m, k, k2) {
  if (k2 === undefined) k2 = k;
  o[k2] = m[k];
}
function __exportStar(m, exports) {
  for (var p in m) if (p !== "default" && !exports.hasOwnProperty(p)) exports[p] = m[p];
}
function __values(o) {
  var s = typeof Symbol === "function" && Symbol.iterator,
    m = s && o[s],
    i = 0;
  if (m) return m.call(o);
  if (o && typeof o.length === "number") return {
    next: function next() {
      if (o && i >= o.length) o = void 0;
      return {
        value: o && o[i++],
        done: !o
      };
    }
  };
  throw new TypeError(s ? "Object is not iterable." : "Symbol.iterator is not defined.");
}
function __read(o, n) {
  var m = typeof Symbol === "function" && o[Symbol.iterator];
  if (!m) return o;
  var i = m.call(o),
    r,
    ar = [],
    e;
  try {
    while ((n === void 0 || n-- > 0) && !(r = i.next()).done) ar.push(r.value);
  } catch (error) {
    e = {
      error: error
    };
  } finally {
    try {
      if (r && !r.done && (m = i["return"])) m.call(i);
    } finally {
      if (e) throw e.error;
    }
  }
  return ar;
}
function __spread() {
  for (var ar = [], i = 0; i < arguments.length; i++) ar = ar.concat(__read(arguments[i]));
  return ar;
}
function __spreadArrays() {
  for (var s = 0, i = 0, il = arguments.length; i < il; i++) s += arguments[i].length;
  for (var r = Array(s), k = 0, i = 0; i < il; i++) for (var a = arguments[i], j = 0, jl = a.length; j < jl; j++, k++) r[k] = a[j];
  return r;
}
;
function __await(v) {
  return this instanceof __await ? (this.v = v, this) : new __await(v);
}
function __asyncGenerator(thisArg, _arguments, generator) {
  if (!Symbol.asyncIterator) throw new TypeError("Symbol.asyncIterator is not defined.");
  var g = generator.apply(thisArg, _arguments || []),
    i,
    q = [];
  return i = {}, verb("next"), verb("throw"), verb("return"), i[Symbol.asyncIterator] = function () {
    return this;
  }, i;
  function verb(n) {
    if (g[n]) i[n] = function (v) {
      return new Promise(function (a, b) {
        q.push([n, v, a, b]) > 1 || resume(n, v);
      });
    };
  }
  function resume(n, v) {
    try {
      step(g[n](v));
    } catch (e) {
      settle(q[0][3], e);
    }
  }
  function step(r) {
    r.value instanceof __await ? Promise.resolve(r.value.v).then(fulfill, reject) : settle(q[0][2], r);
  }
  function fulfill(value) {
    resume("next", value);
  }
  function reject(value) {
    resume("throw", value);
  }
  function settle(f, v) {
    if (f(v), q.shift(), q.length) resume(q[0][0], q[0][1]);
  }
}
function __asyncDelegator(o) {
  var i, p;
  return i = {}, verb("next"), verb("throw", function (e) {
    throw e;
  }), verb("return"), i[Symbol.iterator] = function () {
    return this;
  }, i;
  function verb(n, f) {
    i[n] = o[n] ? function (v) {
      return (p = !p) ? {
        value: __await(o[n](v)),
        done: n === "return"
      } : f ? f(v) : v;
    } : f;
  }
}
function __asyncValues(o) {
  if (!Symbol.asyncIterator) throw new TypeError("Symbol.asyncIterator is not defined.");
  var m = o[Symbol.asyncIterator],
    i;
  return m ? m.call(o) : (o = typeof __values === "function" ? __values(o) : o[Symbol.iterator](), i = {}, verb("next"), verb("throw"), verb("return"), i[Symbol.asyncIterator] = function () {
    return this;
  }, i);
  function verb(n) {
    i[n] = o[n] && function (v) {
      return new Promise(function (resolve, reject) {
        v = o[n](v), settle(resolve, reject, v.done, v.value);
      });
    };
  }
  function settle(resolve, reject, d, v) {
    Promise.resolve(v).then(function (v) {
      resolve({
        value: v,
        done: d
      });
    }, reject);
  }
}
function __makeTemplateObject(cooked, raw) {
  if (Object.defineProperty) {
    Object.defineProperty(cooked, "raw", {
      value: raw
    });
  } else {
    cooked.raw = raw;
  }
  return cooked;
}
;
function __importStar(mod) {
  if (mod && mod.__esModule) return mod;
  var result = {};
  if (mod != null) for (var k in mod) if (Object.hasOwnProperty.call(mod, k)) result[k] = mod[k];
  result["default"] = mod;
  return result;
}
function __importDefault(mod) {
  return mod && mod.__esModule ? mod : {
    "default": mod
  };
}
function __classPrivateFieldGet(receiver, privateMap) {
  if (!privateMap.has(receiver)) {
    throw new TypeError("attempted to get private field on non-instance");
  }
  return privateMap.get(receiver);
}
function __classPrivateFieldSet(receiver, privateMap, value) {
  if (!privateMap.has(receiver)) {
    throw new TypeError("attempted to set private field on non-instance");
  }
  privateMap.set(receiver, value);
  return value;
}
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/Dimensions.js

var Dimensions = /** @class */ (function () {
    function Dimensions(width, height) {
        if (!isValidNumber(width) || !isValidNumber(height)) {
            throw new Error("Dimensions.constructor - expected width and height to be valid numbers, instead have " + JSON.stringify({ width: width, height: height }));
        }
        this._width = width;
        this._height = height;
    }
    Object.defineProperty(Dimensions.prototype, "width", {
        get: function () { return this._width; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Dimensions.prototype, "height", {
        get: function () { return this._height; },
        enumerable: true,
        configurable: true
    });
    Dimensions.prototype.reverse = function () {
        return new Dimensions(1 / this.width, 1 / this.height);
    };
    return Dimensions;
}());

//# sourceMappingURL=Dimensions.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/utils/index.js



function isTensor(tensor, dim) {
    return tensor instanceof wt && tensor.shape.length === dim;
}
function isTensor1D(tensor) {
    return isTensor(tensor, 1);
}
function isTensor2D(tensor) {
    return isTensor(tensor, 2);
}
function isTensor3D(tensor) {
    return isTensor(tensor, 3);
}
function isTensor4D(tensor) {
    return isTensor(tensor, 4);
}
function isFloat(num) {
    return num % 1 !== 0;
}
function isEven(num) {
    return num % 2 === 0;
}
function round(num, prec) {
    if (prec === void 0) { prec = 2; }
    var f = Math.pow(10, prec);
    return Math.floor(num * f) / f;
}
function isDimensions(obj) {
    return obj && obj.width && obj.height;
}
function computeReshapedDimensions(_a, inputSize) {
    var width = _a.width, height = _a.height;
    var scale = inputSize / Math.max(height, width);
    return new Dimensions(Math.round(width * scale), Math.round(height * scale));
}
function getCenterPoint(pts) {
    return pts.reduce(function (sum, pt) { return sum.add(pt); }, new Point(0, 0))
        .div(new Point(pts.length, pts.length));
}
function range(num, start, step) {
    return Array(num).fill(0).map(function (_, i) { return start + (i * step); });
}
function isValidNumber(num) {
    return !!num && num !== Infinity && num !== -Infinity && !isNaN(num) || num === 0;
}
function utils_isValidProbablitiy(num) {
    return isValidNumber(num) && 0 <= num && num <= 1.0;
}
//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/Point.js
var Point = /** @class */ (function () {
    function Point(x, y) {
        this._x = x;
        this._y = y;
    }
    Object.defineProperty(Point.prototype, "x", {
        get: function () { return this._x; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Point.prototype, "y", {
        get: function () { return this._y; },
        enumerable: true,
        configurable: true
    });
    Point.prototype.add = function (pt) {
        return new Point(this.x + pt.x, this.y + pt.y);
    };
    Point.prototype.sub = function (pt) {
        return new Point(this.x - pt.x, this.y - pt.y);
    };
    Point.prototype.mul = function (pt) {
        return new Point(this.x * pt.x, this.y * pt.y);
    };
    Point.prototype.div = function (pt) {
        return new Point(this.x / pt.x, this.y / pt.y);
    };
    Point.prototype.abs = function () {
        return new Point(Math.abs(this.x), Math.abs(this.y));
    };
    Point.prototype.magnitude = function () {
        return Math.sqrt(Math.pow(this.x, 2) + Math.pow(this.y, 2));
    };
    Point.prototype.floor = function () {
        return new Point(Math.floor(this.x), Math.floor(this.y));
    };
    return Point;
}());

//# sourceMappingURL=Point.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/Box.js


var Box = /** @class */ (function () {
    function Box(_box, allowNegativeDimensions) {
        if (allowNegativeDimensions === void 0) { allowNegativeDimensions = true; }
        var box = (_box || {});
        var isBbox = [box.left, box.top, box.right, box.bottom].every(isValidNumber);
        var isRect = [box.x, box.y, box.width, box.height].every(isValidNumber);
        if (!isRect && !isBbox) {
            throw new Error("Box.constructor - expected box to be IBoundingBox | IRect, instead have " + JSON.stringify(box));
        }
        var _a = isRect
            ? [box.x, box.y, box.width, box.height]
            : [box.left, box.top, box.right - box.left, box.bottom - box.top], x = _a[0], y = _a[1], width = _a[2], height = _a[3];
        Box.assertIsValidBox({ x: x, y: y, width: width, height: height }, 'Box.constructor', allowNegativeDimensions);
        this._x = x;
        this._y = y;
        this._width = width;
        this._height = height;
    }
    Box.isRect = function (rect) {
        return !!rect && [rect.x, rect.y, rect.width, rect.height].every(isValidNumber);
    };
    Box.assertIsValidBox = function (box, callee, allowNegativeDimensions) {
        if (allowNegativeDimensions === void 0) { allowNegativeDimensions = false; }
        if (!Box.isRect(box)) {
            throw new Error(callee + " - invalid box: " + JSON.stringify(box) + ", expected object with properties x, y, width, height");
        }
        if (!allowNegativeDimensions && (box.width < 0 || box.height < 0)) {
            throw new Error(callee + " - width (" + box.width + ") and height (" + box.height + ") must be positive numbers");
        }
    };
    Object.defineProperty(Box.prototype, "x", {
        get: function () { return this._x; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "y", {
        get: function () { return this._y; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "width", {
        get: function () { return this._width; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "height", {
        get: function () { return this._height; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "left", {
        get: function () { return this.x; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "top", {
        get: function () { return this.y; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "right", {
        get: function () { return this.x + this.width; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "bottom", {
        get: function () { return this.y + this.height; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "area", {
        get: function () { return this.width * this.height; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "topLeft", {
        get: function () { return new Point(this.left, this.top); },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "topRight", {
        get: function () { return new Point(this.right, this.top); },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "bottomLeft", {
        get: function () { return new Point(this.left, this.bottom); },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(Box.prototype, "bottomRight", {
        get: function () { return new Point(this.right, this.bottom); },
        enumerable: true,
        configurable: true
    });
    Box.prototype.round = function () {
        var _a = [this.x, this.y, this.width, this.height]
            .map(function (val) { return Math.round(val); }), x = _a[0], y = _a[1], width = _a[2], height = _a[3];
        return new Box({ x: x, y: y, width: width, height: height });
    };
    Box.prototype.floor = function () {
        var _a = [this.x, this.y, this.width, this.height]
            .map(function (val) { return Math.floor(val); }), x = _a[0], y = _a[1], width = _a[2], height = _a[3];
        return new Box({ x: x, y: y, width: width, height: height });
    };
    Box.prototype.toSquare = function () {
        var _a = this, x = _a.x, y = _a.y, width = _a.width, height = _a.height;
        var diff = Math.abs(width - height);
        if (width < height) {
            x -= (diff / 2);
            width += diff;
        }
        if (height < width) {
            y -= (diff / 2);
            height += diff;
        }
        return new Box({ x: x, y: y, width: width, height: height });
    };
    Box.prototype.rescale = function (s) {
        var scaleX = isDimensions(s) ? s.width : s;
        var scaleY = isDimensions(s) ? s.height : s;
        return new Box({
            x: this.x * scaleX,
            y: this.y * scaleY,
            width: this.width * scaleX,
            height: this.height * scaleY
        });
    };
    Box.prototype.pad = function (padX, padY) {
        var _a = [
            this.x - (padX / 2),
            this.y - (padY / 2),
            this.width + padX,
            this.height + padY
        ], x = _a[0], y = _a[1], width = _a[2], height = _a[3];
        return new Box({ x: x, y: y, width: width, height: height });
    };
    Box.prototype.clipAtImageBorders = function (imgWidth, imgHeight) {
        var _a = this, x = _a.x, y = _a.y, right = _a.right, bottom = _a.bottom;
        var clippedX = Math.max(x, 0);
        var clippedY = Math.max(y, 0);
        var newWidth = right - clippedX;
        var newHeight = bottom - clippedY;
        var clippedWidth = Math.min(newWidth, imgWidth - clippedX);
        var clippedHeight = Math.min(newHeight, imgHeight - clippedY);
        return (new Box({ x: clippedX, y: clippedY, width: clippedWidth, height: clippedHeight })).floor();
    };
    Box.prototype.shift = function (sx, sy) {
        var _a = this, width = _a.width, height = _a.height;
        var x = this.x + sx;
        var y = this.y + sy;
        return new Box({ x: x, y: y, width: width, height: height });
    };
    Box.prototype.padAtBorders = function (imageHeight, imageWidth) {
        var w = this.width + 1;
        var h = this.height + 1;
        var dx = 1;
        var dy = 1;
        var edx = w;
        var edy = h;
        var x = this.left;
        var y = this.top;
        var ex = this.right;
        var ey = this.bottom;
        if (ex > imageWidth) {
            edx = -ex + imageWidth + w;
            ex = imageWidth;
        }
        if (ey > imageHeight) {
            edy = -ey + imageHeight + h;
            ey = imageHeight;
        }
        if (x < 1) {
            edy = 2 - x;
            x = 1;
        }
        if (y < 1) {
            edy = 2 - y;
            y = 1;
        }
        return { dy: dy, edy: edy, dx: dx, edx: edx, y: y, ey: ey, x: x, ex: ex, w: w, h: h };
    };
    Box.prototype.calibrate = function (region) {
        return new Box({
            left: this.left + (region.left * this.width),
            top: this.top + (region.top * this.height),
            right: this.right + (region.right * this.width),
            bottom: this.bottom + (region.bottom * this.height)
        }).toSquare().round();
    };
    return Box;
}());

//# sourceMappingURL=Box.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/BoundingBox.js


var BoundingBox = /** @class */ (function (_super) {
    __extends(BoundingBox, _super);
    function BoundingBox(left, top, right, bottom, allowNegativeDimensions) {
        if (allowNegativeDimensions === void 0) { allowNegativeDimensions = false; }
        return _super.call(this, { left: left, top: top, right: right, bottom: bottom }, allowNegativeDimensions) || this;
    }
    return BoundingBox;
}(Box));

//# sourceMappingURL=BoundingBox.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/ObjectDetection.js


var ObjectDetection = /** @class */ (function () {
    function ObjectDetection(score, classScore, className, relativeBox, imageDims) {
        this._imageDims = new Dimensions(imageDims.width, imageDims.height);
        this._score = score;
        this._classScore = classScore;
        this._className = className;
        this._box = new Box(relativeBox).rescale(this._imageDims);
    }
    Object.defineProperty(ObjectDetection.prototype, "score", {
        get: function () { return this._score; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(ObjectDetection.prototype, "classScore", {
        get: function () { return this._classScore; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(ObjectDetection.prototype, "className", {
        get: function () { return this._className; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(ObjectDetection.prototype, "box", {
        get: function () { return this._box; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(ObjectDetection.prototype, "imageDims", {
        get: function () { return this._imageDims; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(ObjectDetection.prototype, "imageWidth", {
        get: function () { return this.imageDims.width; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(ObjectDetection.prototype, "imageHeight", {
        get: function () { return this.imageDims.height; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(ObjectDetection.prototype, "relativeBox", {
        get: function () { return new Box(this._box).rescale(this.imageDims.reverse()); },
        enumerable: true,
        configurable: true
    });
    ObjectDetection.prototype.forSize = function (width, height) {
        return new ObjectDetection(this.score, this.classScore, this.className, this.relativeBox, { width: width, height: height });
    };
    return ObjectDetection;
}());

//# sourceMappingURL=ObjectDetection.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/FaceDetection.js


var FaceDetection = /** @class */ (function (_super) {
    __extends(FaceDetection, _super);
    function FaceDetection(score, relativeBox, imageDims) {
        return _super.call(this, score, score, '', relativeBox, imageDims) || this;
    }
    FaceDetection.prototype.forSize = function (width, height) {
        var _a = _super.prototype.forSize.call(this, width, height), score = _a.score, relativeBox = _a.relativeBox, imageDims = _a.imageDims;
        return new FaceDetection(score, relativeBox, imageDims);
    };
    return FaceDetection;
}(ObjectDetection));

//# sourceMappingURL=FaceDetection.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ops/minBbox.js

function minBbox(pts) {
    var xs = pts.map(function (pt) { return pt.x; });
    var ys = pts.map(function (pt) { return pt.y; });
    var minX = xs.reduce(function (min, x) { return x < min ? x : min; }, Infinity);
    var minY = ys.reduce(function (min, y) { return y < min ? y : min; }, Infinity);
    var maxX = xs.reduce(function (max, x) { return max < x ? x : max; }, 0);
    var maxY = ys.reduce(function (max, y) { return max < y ? y : max; }, 0);
    return new BoundingBox(minX, minY, maxX, maxY);
}
//# sourceMappingURL=minBbox.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ops/iou.js
function iou(box1, box2, isIOU) {
    if (isIOU === void 0) { isIOU = true; }
    var width = Math.max(0.0, Math.min(box1.right, box2.right) - Math.max(box1.left, box2.left));
    var height = Math.max(0.0, Math.min(box1.bottom, box2.bottom) - Math.max(box1.top, box2.top));
    var interSection = width * height;
    return isIOU
        ? interSection / (box1.area + box2.area - interSection)
        : interSection / Math.min(box1.area, box2.area);
}
//# sourceMappingURL=iou.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ops/nonMaxSuppression.js

function nonMaxSuppression(boxes, scores, iouThreshold, isIOU) {
    if (isIOU === void 0) { isIOU = true; }
    var indicesSortedByScore = scores
        .map(function (score, boxIndex) { return ({ score: score, boxIndex: boxIndex }); })
        .sort(function (c1, c2) { return c1.score - c2.score; })
        .map(function (c) { return c.boxIndex; });
    var pick = [];
    var _loop_1 = function () {
        var curr = indicesSortedByScore.pop();
        pick.push(curr);
        var indices = indicesSortedByScore;
        var outputs = [];
        for (var i = 0; i < indices.length; i++) {
            var idx = indices[i];
            var currBox = boxes[curr];
            var idxBox = boxes[idx];
            outputs.push(iou(currBox, idxBox, isIOU));
        }
        indicesSortedByScore = indicesSortedByScore.filter(function (_, j) { return outputs[j] <= iouThreshold; });
    };
    while (indicesSortedByScore.length > 0) {
        _loop_1();
    }
    return pick;
}
//# sourceMappingURL=nonMaxSuppression.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ops/normalize.js


function normalize(x, meanRgb) {
    return Ze(function () {
        var r = meanRgb[0], g = meanRgb[1], b = meanRgb[2];
        var avg_r = Hn(__spreadArrays(x.shape.slice(0, 3), [1]), r);
        var avg_g = Hn(__spreadArrays(x.shape.slice(0, 3), [1]), g);
        var avg_b = Hn(__spreadArrays(x.shape.slice(0, 3), [1]), b);
        var avg_rgb = Yn([avg_r, avg_g, avg_b], 3);
        return Cc(x, avg_rgb);
    });
}
//# sourceMappingURL=normalize.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ops/padToSquare.js

/**
 * Pads the smaller dimension of an image tensor with zeros, such that width === height.
 *
 * @param imgTensor The image tensor.
 * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on
 * both sides of the minor dimension oof the image.
 * @returns The padded tensor with width === height.
 */
function padToSquare(imgTensor, isCenterImage) {
    if (isCenterImage === void 0) { isCenterImage = false; }
    return Ze(function () {
        var _a = imgTensor.shape.slice(1), height = _a[0], width = _a[1];
        if (height === width) {
            return imgTensor;
        }
        var dimDiff = Math.abs(height - width);
        var paddingAmount = Math.round(dimDiff * (isCenterImage ? 0.5 : 1));
        var paddingAxis = height > width ? 2 : 1;
        var createPaddingTensor = function (paddingAmount) {
            var paddingTensorShape = imgTensor.shape.slice();
            paddingTensorShape[paddingAxis] = paddingAmount;
            return Hn(paddingTensorShape, 0);
        };
        var paddingTensorAppend = createPaddingTensor(paddingAmount);
        var remainingPaddingAmount = dimDiff - paddingTensorAppend.shape[paddingAxis];
        var paddingTensorPrepend = isCenterImage && remainingPaddingAmount
            ? createPaddingTensor(remainingPaddingAmount)
            : null;
        var tensorsToStack = [
            paddingTensorPrepend,
            imgTensor,
            paddingTensorAppend
        ]
            .filter(function (t) { return !!t; })
            .map(function (t) { return t.toFloat(); });
        return Yn(tensorsToStack, paddingAxis);
    });
}
//# sourceMappingURL=padToSquare.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ops/index.js






function sigmoid(x) {
    return 1 / (1 + Math.exp(-x));
}
function inverseSigmoid(x) {
    return Math.log(x / (1 - x));
}
//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/Rect.js


var Rect = /** @class */ (function (_super) {
    __extends(Rect, _super);
    function Rect(x, y, width, height, allowNegativeDimensions) {
        if (allowNegativeDimensions === void 0) { allowNegativeDimensions = false; }
        return _super.call(this, { x: x, y: y, width: width, height: height }, allowNegativeDimensions) || this;
    }
    return Rect;
}(Box));

//# sourceMappingURL=Rect.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/FaceLandmarks.js







// face alignment constants
var relX = 0.5;
var relY = 0.43;
var relScale = 0.45;
var FaceLandmarks = /** @class */ (function () {
    function FaceLandmarks(relativeFaceLandmarkPositions, imgDims, shift) {
        if (shift === void 0) { shift = new Point(0, 0); }
        var width = imgDims.width, height = imgDims.height;
        this._imgDims = new Dimensions(width, height);
        this._shift = shift;
        this._positions = relativeFaceLandmarkPositions.map(function (pt) { return pt.mul(new Point(width, height)).add(shift); });
    }
    Object.defineProperty(FaceLandmarks.prototype, "shift", {
        get: function () { return new Point(this._shift.x, this._shift.y); },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(FaceLandmarks.prototype, "imageWidth", {
        get: function () { return this._imgDims.width; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(FaceLandmarks.prototype, "imageHeight", {
        get: function () { return this._imgDims.height; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(FaceLandmarks.prototype, "positions", {
        get: function () { return this._positions; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(FaceLandmarks.prototype, "relativePositions", {
        get: function () {
            var _this = this;
            return this._positions.map(function (pt) { return pt.sub(_this._shift).div(new Point(_this.imageWidth, _this.imageHeight)); });
        },
        enumerable: true,
        configurable: true
    });
    FaceLandmarks.prototype.forSize = function (width, height) {
        return new this.constructor(this.relativePositions, { width: width, height: height });
    };
    FaceLandmarks.prototype.shiftBy = function (x, y) {
        return new this.constructor(this.relativePositions, this._imgDims, new Point(x, y));
    };
    FaceLandmarks.prototype.shiftByPoint = function (pt) {
        return this.shiftBy(pt.x, pt.y);
    };
    /**
     * Aligns the face landmarks after face detection from the relative positions of the faces
     * bounding box, or it's current shift. This function should be used to align the face images
     * after face detection has been performed, before they are passed to the face recognition net.
     * This will make the computed face descriptor more accurate.
     *
     * @param detection (optional) The bounding box of the face or the face detection result. If
     * no argument was passed the position of the face landmarks are assumed to be relative to
     * it's current shift.
     * @returns The bounding box of the aligned face.
     */
    FaceLandmarks.prototype.align = function (detection, options) {
        if (options === void 0) { options = {}; }
        if (detection) {
            var box = detection instanceof FaceDetection
                ? detection.box.floor()
                : new Box(detection);
            return this.shiftBy(box.x, box.y).align(null, options);
        }
        var _a = Object.assign({}, { useDlibAlignment: false, minBoxPadding: 0.2 }, options), useDlibAlignment = _a.useDlibAlignment, minBoxPadding = _a.minBoxPadding;
        if (useDlibAlignment) {
            return this.alignDlib();
        }
        return this.alignMinBbox(minBoxPadding);
    };
    FaceLandmarks.prototype.alignDlib = function () {
        var centers = this.getRefPointsForAlignment();
        var leftEyeCenter = centers[0], rightEyeCenter = centers[1], mouthCenter = centers[2];
        var distToMouth = function (pt) { return mouthCenter.sub(pt).magnitude(); };
        var eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;
        var size = Math.floor(eyeToMouthDist / relScale);
        var refPoint = getCenterPoint(centers);
        // TODO: pad in case rectangle is out of image bounds
        var x = Math.floor(Math.max(0, refPoint.x - (relX * size)));
        var y = Math.floor(Math.max(0, refPoint.y - (relY * size)));
        return new Rect(x, y, Math.min(size, this.imageWidth + x), Math.min(size, this.imageHeight + y));
    };
    FaceLandmarks.prototype.alignMinBbox = function (padding) {
        var box = minBbox(this.positions);
        return box.pad(box.width * padding, box.height * padding);
    };
    FaceLandmarks.prototype.getRefPointsForAlignment = function () {
        throw new Error('getRefPointsForAlignment not implemented by base class');
    };
    return FaceLandmarks;
}());

//# sourceMappingURL=FaceLandmarks.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/FaceLandmarks5.js



var FaceLandmarks5 = /** @class */ (function (_super) {
    __extends(FaceLandmarks5, _super);
    function FaceLandmarks5() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    FaceLandmarks5.prototype.getRefPointsForAlignment = function () {
        var pts = this.positions;
        return [
            pts[0],
            pts[1],
            getCenterPoint([pts[3], pts[4]])
        ];
    };
    return FaceLandmarks5;
}(FaceLandmarks));

//# sourceMappingURL=FaceLandmarks5.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/FaceLandmarks68.js



var FaceLandmarks68 = /** @class */ (function (_super) {
    __extends(FaceLandmarks68, _super);
    function FaceLandmarks68() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    FaceLandmarks68.prototype.getJawOutline = function () {
        return this.positions.slice(0, 17);
    };
    FaceLandmarks68.prototype.getLeftEyeBrow = function () {
        return this.positions.slice(17, 22);
    };
    FaceLandmarks68.prototype.getRightEyeBrow = function () {
        return this.positions.slice(22, 27);
    };
    FaceLandmarks68.prototype.getNose = function () {
        return this.positions.slice(27, 36);
    };
    FaceLandmarks68.prototype.getLeftEye = function () {
        return this.positions.slice(36, 42);
    };
    FaceLandmarks68.prototype.getRightEye = function () {
        return this.positions.slice(42, 48);
    };
    FaceLandmarks68.prototype.getMouth = function () {
        return this.positions.slice(48, 68);
    };
    FaceLandmarks68.prototype.getRefPointsForAlignment = function () {
        return [
            this.getLeftEye(),
            this.getRightEye(),
            this.getMouth()
        ].map(getCenterPoint);
    };
    return FaceLandmarks68;
}(FaceLandmarks));

//# sourceMappingURL=FaceLandmarks68.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/FaceMatch.js

var FaceMatch = /** @class */ (function () {
    function FaceMatch(label, distance) {
        this._label = label;
        this._distance = distance;
    }
    Object.defineProperty(FaceMatch.prototype, "label", {
        get: function () { return this._label; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(FaceMatch.prototype, "distance", {
        get: function () { return this._distance; },
        enumerable: true,
        configurable: true
    });
    FaceMatch.prototype.toString = function (withDistance) {
        if (withDistance === void 0) { withDistance = true; }
        return "" + this.label + (withDistance ? " (" + round(this.distance) + ")" : '');
    };
    return FaceMatch;
}());

//# sourceMappingURL=FaceMatch.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/LabeledBox.js



var LabeledBox = /** @class */ (function (_super) {
    __extends(LabeledBox, _super);
    function LabeledBox(box, label) {
        var _this = _super.call(this, box) || this;
        _this._label = label;
        return _this;
    }
    LabeledBox.assertIsValidLabeledBox = function (box, callee) {
        Box.assertIsValidBox(box, callee);
        if (!isValidNumber(box.label)) {
            throw new Error(callee + " - expected property label (" + box.label + ") to be a number");
        }
    };
    Object.defineProperty(LabeledBox.prototype, "label", {
        get: function () { return this._label; },
        enumerable: true,
        configurable: true
    });
    return LabeledBox;
}(Box));

//# sourceMappingURL=LabeledBox.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/LabeledFaceDescriptors.js
var LabeledFaceDescriptors = /** @class */ (function () {
    function LabeledFaceDescriptors(label, descriptors) {
        if (!(typeof label === 'string')) {
            throw new Error('LabeledFaceDescriptors - constructor expected label to be a string');
        }
        if (!Array.isArray(descriptors) || descriptors.some(function (desc) { return !(desc instanceof Float32Array); })) {
            throw new Error('LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array');
        }
        this._label = label;
        this._descriptors = descriptors;
    }
    Object.defineProperty(LabeledFaceDescriptors.prototype, "label", {
        get: function () { return this._label; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(LabeledFaceDescriptors.prototype, "descriptors", {
        get: function () { return this._descriptors; },
        enumerable: true,
        configurable: true
    });
    LabeledFaceDescriptors.prototype.toJSON = function () {
        return {
            label: this.label,
            descriptors: this.descriptors.map(function (d) { return Array.from(d); })
        };
    };
    LabeledFaceDescriptors.fromJSON = function (json) {
        var descriptors = json.descriptors.map(function (d) {
            return new Float32Array(d);
        });
        return new LabeledFaceDescriptors(json.label, descriptors);
    };
    return LabeledFaceDescriptors;
}());

//# sourceMappingURL=LabeledFaceDescriptors.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/PredictedBox.js



var PredictedBox = /** @class */ (function (_super) {
    __extends(PredictedBox, _super);
    function PredictedBox(box, label, score, classScore) {
        var _this = _super.call(this, box, label) || this;
        _this._score = score;
        _this._classScore = classScore;
        return _this;
    }
    PredictedBox.assertIsValidPredictedBox = function (box, callee) {
        LabeledBox.assertIsValidLabeledBox(box, callee);
        if (!utils_isValidProbablitiy(box.score)
            || !utils_isValidProbablitiy(box.classScore)) {
            throw new Error(callee + " - expected properties score (" + box.score + ") and (" + box.classScore + ") to be a number between [0, 1]");
        }
    };
    Object.defineProperty(PredictedBox.prototype, "score", {
        get: function () { return this._score; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(PredictedBox.prototype, "classScore", {
        get: function () { return this._classScore; },
        enumerable: true,
        configurable: true
    });
    return PredictedBox;
}(LabeledBox));

//# sourceMappingURL=PredictedBox.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/classes/index.js














//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/factories/WithFaceDetection.js

function isWithFaceDetection(obj) {
    return obj['detection'] instanceof FaceDetection;
}
function extendWithFaceDetection(sourceObj, detection) {
    var extension = { detection: detection };
    return Object.assign({}, sourceObj, extension);
}
//# sourceMappingURL=WithFaceDetection.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/env/createBrowserEnv.js
function createBrowserEnv() {
    var fetch = window['fetch'] || function () {
        throw new Error('fetch - missing fetch implementation for browser environment');
    };
    var readFile = function () {
        throw new Error('readFile - filesystem not available for browser environment');
    };
    return {
        Canvas: HTMLCanvasElement,
        CanvasRenderingContext2D: CanvasRenderingContext2D,
        Image: HTMLImageElement,
        ImageData: ImageData,
        Video: HTMLVideoElement,
        createCanvasElement: function () { return document.createElement('canvas'); },
        createImageElement: function () { return document.createElement('img'); },
        fetch: fetch,
        readFile: readFile
    };
}
//# sourceMappingURL=createBrowserEnv.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/env/createFileSystem.js
function createFileSystem(fs) {
    var requireFsError = '';
    if (!fs) {
        try {
            fs = __webpack_require__(/*! fs */ 90872);
        }
        catch (err) {
            requireFsError = err.toString();
        }
    }
    var readFile = fs
        ? function (filePath) {
            return new Promise(function (res, rej) {
                fs.readFile(filePath, function (err, buffer) {
                    return err ? rej(err) : res(buffer);
                });
            });
        }
        : function () {
            throw new Error("readFile - failed to require fs in nodejs environment with error: " + requireFsError);
        };
    return {
        readFile: readFile
    };
}
//# sourceMappingURL=createFileSystem.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/env/createNodejsEnv.js


function createNodejsEnv() {
    var Canvas = __webpack_require__.g['Canvas'] || __webpack_require__.g['HTMLCanvasElement'];
    var Image = __webpack_require__.g['Image'] || __webpack_require__.g['HTMLImageElement'];
    var createCanvasElement = function () {
        if (Canvas) {
            return new Canvas();
        }
        throw new Error('createCanvasElement - missing Canvas implementation for nodejs environment');
    };
    var createImageElement = function () {
        if (Image) {
            return new Image();
        }
        throw new Error('createImageElement - missing Image implementation for nodejs environment');
    };
    var fetch = __webpack_require__.g['fetch'] || function () {
        throw new Error('fetch - missing fetch implementation for nodejs environment');
    };
    var fileSystem = createFileSystem();
    return _assign({ Canvas: Canvas || /** @class */ (function () {
            function Canvas() {
            }
            return Canvas;
        }()), CanvasRenderingContext2D: __webpack_require__.g['CanvasRenderingContext2D'] || /** @class */ (function () {
            function class_1() {
            }
            return class_1;
        }()), Image: Image || /** @class */ (function () {
            function Image() {
            }
            return Image;
        }()), ImageData: __webpack_require__.g['ImageData'] || /** @class */ (function () {
            function class_2() {
            }
            return class_2;
        }()), Video: __webpack_require__.g['HTMLVideoElement'] || /** @class */ (function () {
            function class_3() {
            }
            return class_3;
        }()), createCanvasElement: createCanvasElement,
        createImageElement: createImageElement,
        fetch: fetch }, fileSystem);
}
//# sourceMappingURL=createNodejsEnv.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/env/isBrowser.js
function isBrowser() {
    return typeof window === 'object'
        && typeof document !== 'undefined'
        && typeof HTMLImageElement !== 'undefined'
        && typeof HTMLCanvasElement !== 'undefined'
        && typeof HTMLVideoElement !== 'undefined'
        && typeof ImageData !== 'undefined'
        && typeof CanvasRenderingContext2D !== 'undefined';
}
//# sourceMappingURL=isBrowser.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/env/isNodejs.js
/* provided dependency */ var isNodejs_process = __webpack_require__(/*! ./node_modules/_process@0.11.10@process/browser.js */ 97671);
function isNodejs() {
    return typeof __webpack_require__.g === 'object'
        && "function" === 'function'
        && "object" !== 'undefined'
        // issues with gatsby.js: module.exports is undefined
        // && !!module.exports
        && typeof isNodejs_process !== 'undefined' && !!isNodejs_process.version;
}
//# sourceMappingURL=isNodejs.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/env/index.js





var environment;
function getEnv() {
    if (!environment) {
        throw new Error('getEnv - environment is not defined, check isNodejs() and isBrowser()');
    }
    return environment;
}
function setEnv(env) {
    environment = env;
}
function initialize() {
    // check for isBrowser() first to prevent electron renderer process
    // to be initialized with wrong environment due to isNodejs() returning true
    if (isBrowser()) {
        setEnv(createBrowserEnv());
    }
    if (isNodejs()) {
        setEnv(createNodejsEnv());
    }
}
function monkeyPatch(env) {
    if (!environment) {
        initialize();
    }
    if (!environment) {
        throw new Error('monkeyPatch - environment is not defined, check isNodejs() and isBrowser()');
    }
    var _a = env.Canvas, Canvas = _a === void 0 ? environment.Canvas : _a, _b = env.Image, Image = _b === void 0 ? environment.Image : _b;
    environment.Canvas = Canvas;
    environment.Image = Image;
    environment.createCanvasElement = env.createCanvasElement || (function () { return new Canvas(); });
    environment.createImageElement = env.createImageElement || (function () { return new Image(); });
    environment.ImageData = env.ImageData || environment.ImageData;
    environment.Video = env.Video || environment.Video;
    environment.fetch = env.fetch || environment.fetch;
    environment.readFile = env.readFile || environment.readFile;
}
var env_env = {
    getEnv: getEnv,
    setEnv: setEnv,
    initialize: initialize,
    createBrowserEnv: createBrowserEnv,
    createFileSystem: createFileSystem,
    createNodejsEnv: createNodejsEnv,
    monkeyPatch: monkeyPatch,
    isBrowser: isBrowser,
    isNodejs: isNodejs
};
initialize();
//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/resolveInput.js

function resolveInput(arg) {
    if (!env_env.isNodejs() && typeof arg === 'string') {
        return document.getElementById(arg);
    }
    return arg;
}
//# sourceMappingURL=resolveInput.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/getContext2dOrThrow.js


function getContext2dOrThrow(canvasArg) {
    var _a = env_env.getEnv(), Canvas = _a.Canvas, CanvasRenderingContext2D = _a.CanvasRenderingContext2D;
    if (canvasArg instanceof CanvasRenderingContext2D) {
        return canvasArg;
    }
    var canvas = resolveInput(canvasArg);
    if (!(canvas instanceof Canvas)) {
        throw new Error('resolveContext2d - expected canvas to be of instance of Canvas');
    }
    var ctx = canvas.getContext('2d');
    if (!ctx) {
        throw new Error('resolveContext2d - canvas 2d context is null');
    }
    return ctx;
}
//# sourceMappingURL=getContext2dOrThrow.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/draw/DrawTextField.js


var AnchorPosition;
(function (AnchorPosition) {
    AnchorPosition["TOP_LEFT"] = "TOP_LEFT";
    AnchorPosition["TOP_RIGHT"] = "TOP_RIGHT";
    AnchorPosition["BOTTOM_LEFT"] = "BOTTOM_LEFT";
    AnchorPosition["BOTTOM_RIGHT"] = "BOTTOM_RIGHT";
})(AnchorPosition || (AnchorPosition = {}));
var DrawTextFieldOptions = /** @class */ (function () {
    function DrawTextFieldOptions(options) {
        if (options === void 0) { options = {}; }
        var anchorPosition = options.anchorPosition, backgroundColor = options.backgroundColor, fontColor = options.fontColor, fontSize = options.fontSize, fontStyle = options.fontStyle, padding = options.padding;
        this.anchorPosition = anchorPosition || AnchorPosition.TOP_LEFT;
        this.backgroundColor = backgroundColor || 'rgba(0, 0, 0, 0.5)';
        this.fontColor = fontColor || 'rgba(255, 255, 255, 1)';
        this.fontSize = fontSize || 14;
        this.fontStyle = fontStyle || 'Georgia';
        this.padding = padding || 4;
    }
    return DrawTextFieldOptions;
}());

var DrawTextField = /** @class */ (function () {
    function DrawTextField(text, anchor, options) {
        if (options === void 0) { options = {}; }
        this.text = typeof text === 'string'
            ? [text]
            : (text instanceof DrawTextField ? text.text : text);
        this.anchor = anchor;
        this.options = new DrawTextFieldOptions(options);
    }
    DrawTextField.prototype.measureWidth = function (ctx) {
        var padding = this.options.padding;
        return this.text.map(function (l) { return ctx.measureText(l).width; }).reduce(function (w0, w1) { return w0 < w1 ? w1 : w0; }, 0) + (2 * padding);
    };
    DrawTextField.prototype.measureHeight = function () {
        var _a = this.options, fontSize = _a.fontSize, padding = _a.padding;
        return this.text.length * fontSize + (2 * padding);
    };
    DrawTextField.prototype.getUpperLeft = function (ctx, canvasDims) {
        var anchorPosition = this.options.anchorPosition;
        var isShiftLeft = anchorPosition === AnchorPosition.BOTTOM_RIGHT || anchorPosition === AnchorPosition.TOP_RIGHT;
        var isShiftTop = anchorPosition === AnchorPosition.BOTTOM_LEFT || anchorPosition === AnchorPosition.BOTTOM_RIGHT;
        var textFieldWidth = this.measureWidth(ctx);
        var textFieldHeight = this.measureHeight();
        var x = (isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x);
        var y = isShiftTop ? this.anchor.y - textFieldHeight : this.anchor.y;
        // adjust anchor if text box exceeds canvas borders
        if (canvasDims) {
            var width = canvasDims.width, height = canvasDims.height;
            var newX = Math.max(Math.min(x, width - textFieldWidth), 0);
            var newY = Math.max(Math.min(y, height - textFieldHeight), 0);
            return { x: newX, y: newY };
        }
        return { x: x, y: y };
    };
    DrawTextField.prototype.draw = function (canvasArg) {
        var canvas = resolveInput(canvasArg);
        var ctx = getContext2dOrThrow(canvas);
        var _a = this.options, backgroundColor = _a.backgroundColor, fontColor = _a.fontColor, fontSize = _a.fontSize, fontStyle = _a.fontStyle, padding = _a.padding;
        ctx.font = fontSize + "px " + fontStyle;
        var maxTextWidth = this.measureWidth(ctx);
        var textHeight = this.measureHeight();
        ctx.fillStyle = backgroundColor;
        var upperLeft = this.getUpperLeft(ctx, canvas);
        ctx.fillRect(upperLeft.x, upperLeft.y, maxTextWidth, textHeight);
        ctx.fillStyle = fontColor;
        this.text.forEach(function (textLine, i) {
            var x = padding + upperLeft.x;
            var y = padding + upperLeft.y + ((i + 1) * fontSize);
            ctx.fillText(textLine, x, y);
        });
    };
    return DrawTextField;
}());

//# sourceMappingURL=DrawTextField.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/draw/DrawBox.js



var DrawBoxOptions = /** @class */ (function () {
    function DrawBoxOptions(options) {
        if (options === void 0) { options = {}; }
        var boxColor = options.boxColor, lineWidth = options.lineWidth, label = options.label, drawLabelOptions = options.drawLabelOptions;
        this.boxColor = boxColor || 'rgba(0, 0, 255, 1)';
        this.lineWidth = lineWidth || 2;
        this.label = label;
        var defaultDrawLabelOptions = {
            anchorPosition: AnchorPosition.BOTTOM_LEFT,
            backgroundColor: this.boxColor
        };
        this.drawLabelOptions = new DrawTextFieldOptions(Object.assign({}, defaultDrawLabelOptions, drawLabelOptions));
    }
    return DrawBoxOptions;
}());

var DrawBox = /** @class */ (function () {
    function DrawBox(box, options) {
        if (options === void 0) { options = {}; }
        this.box = new Box(box);
        this.options = new DrawBoxOptions(options);
    }
    DrawBox.prototype.draw = function (canvasArg) {
        var ctx = getContext2dOrThrow(canvasArg);
        var _a = this.options, boxColor = _a.boxColor, lineWidth = _a.lineWidth;
        var _b = this.box, x = _b.x, y = _b.y, width = _b.width, height = _b.height;
        ctx.strokeStyle = boxColor;
        ctx.lineWidth = lineWidth;
        ctx.strokeRect(x, y, width, height);
        var label = this.options.label;
        if (label) {
            new DrawTextField([label], { x: x - (lineWidth / 2), y: y }, this.options.drawLabelOptions).draw(canvasArg);
        }
    };
    return DrawBox;
}());

//# sourceMappingURL=DrawBox.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/draw/drawDetections.js





function drawDetections(canvasArg, detections) {
    var detectionsArray = Array.isArray(detections) ? detections : [detections];
    detectionsArray.forEach(function (det) {
        var score = det instanceof FaceDetection
            ? det.score
            : (isWithFaceDetection(det) ? det.detection.score : undefined);
        var box = det instanceof FaceDetection
            ? det.box
            : (isWithFaceDetection(det) ? det.detection.box : new Box(det));
        var label = score ? "" + round(score) : undefined;
        new DrawBox(box, { label: label }).draw(canvasArg);
    });
}
//# sourceMappingURL=drawDetections.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/isMediaLoaded.js

function isMediaLoaded(media) {
    var _a = env_env.getEnv(), Image = _a.Image, Video = _a.Video;
    return (media instanceof Image && media.complete)
        || (media instanceof Video && media.readyState >= 3);
}
//# sourceMappingURL=isMediaLoaded.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/awaitMediaLoaded.js


function awaitMediaLoaded(media) {
    return new Promise(function (resolve, reject) {
        if (media instanceof env_env.getEnv().Canvas || isMediaLoaded(media)) {
            return resolve();
        }
        function onLoad(e) {
            if (!e.currentTarget)
                return;
            e.currentTarget.removeEventListener('load', onLoad);
            e.currentTarget.removeEventListener('error', onError);
            resolve(e);
        }
        function onError(e) {
            if (!e.currentTarget)
                return;
            e.currentTarget.removeEventListener('load', onLoad);
            e.currentTarget.removeEventListener('error', onError);
            reject(e);
        }
        media.addEventListener('load', onLoad);
        media.addEventListener('error', onError);
    });
}
//# sourceMappingURL=awaitMediaLoaded.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/bufferToImage.js

function bufferToImage_bufferToImage(buf) {
    return new Promise(function (resolve, reject) {
        if (!(buf instanceof Blob)) {
            return reject('bufferToImage - expected buf to be of type: Blob');
        }
        var reader = new FileReader();
        reader.onload = function () {
            if (typeof reader.result !== 'string') {
                return reject('bufferToImage - expected reader.result to be a string, in onload');
            }
            var img = env.getEnv().createImageElement();
            img.onload = function () { return resolve(img); };
            img.onerror = reject;
            img.src = reader.result;
        };
        reader.onerror = reject;
        reader.readAsDataURL(buf);
    });
}
//# sourceMappingURL=bufferToImage.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/getMediaDimensions.js


function getMediaDimensions_getMediaDimensions(input) {
    var _a = env_env.getEnv(), Image = _a.Image, Video = _a.Video;
    if (input instanceof Image) {
        return new Dimensions(input.naturalWidth, input.naturalHeight);
    }
    if (input instanceof Video) {
        return new Dimensions(input.videoWidth, input.videoHeight);
    }
    return new Dimensions(input.width, input.height);
}
//# sourceMappingURL=getMediaDimensions.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/createCanvas.js




function createCanvas(_a) {
    var width = _a.width, height = _a.height;
    var createCanvasElement = env_env.getEnv().createCanvasElement;
    var canvas = createCanvasElement();
    canvas.width = width;
    canvas.height = height;
    return canvas;
}
function createCanvasFromMedia(media, dims) {
    var ImageData = env_env.getEnv().ImageData;
    if (!(media instanceof ImageData) && !isMediaLoaded(media)) {
        throw new Error('createCanvasFromMedia - media has not finished loading yet');
    }
    var _a = dims || getMediaDimensions_getMediaDimensions(media), width = _a.width, height = _a.height;
    var canvas = createCanvas({ width: width, height: height });
    if (media instanceof ImageData) {
        getContext2dOrThrow(canvas).putImageData(media, 0, 0);
    }
    else {
        getContext2dOrThrow(canvas).drawImage(media, 0, 0, width, height);
    }
    return canvas;
}
//# sourceMappingURL=createCanvas.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/imageTensorToCanvas.js




function imageTensorToCanvas(imgTensor, canvas) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var targetCanvas, _a, height, width, numChannels, imgTensor3D;
        return tslib_es6_generator(this, function (_b) {
            switch (_b.label) {
                case 0:
                    targetCanvas = canvas || env_env.getEnv().createCanvasElement();
                    _a = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0), height = _a[0], width = _a[1], numChannels = _a[2];
                    imgTensor3D = Ze(function () { return imgTensor.as3D(height, width, numChannels).toInt(); });
                    return [4 /*yield*/, id.toPixels(imgTensor3D, targetCanvas)];
                case 1:
                    _b.sent();
                    imgTensor3D.dispose();
                    return [2 /*return*/, targetCanvas];
            }
        });
    });
}
//# sourceMappingURL=imageTensorToCanvas.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/isMediaElement.js

function isMediaElement(input) {
    var _a = env_env.getEnv(), Image = _a.Image, Canvas = _a.Canvas, Video = _a.Video;
    return input instanceof Image
        || input instanceof Canvas
        || input instanceof Video;
}
//# sourceMappingURL=isMediaElement.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/imageToSquare.js




function imageToSquare(input, inputSize, centerImage) {
    if (centerImage === void 0) { centerImage = false; }
    var _a = env_env.getEnv(), Image = _a.Image, Canvas = _a.Canvas;
    if (!(input instanceof Image || input instanceof Canvas)) {
        throw new Error('imageToSquare - expected arg0 to be HTMLImageElement | HTMLCanvasElement');
    }
    var dims = getMediaDimensions_getMediaDimensions(input);
    var scale = inputSize / Math.max(dims.height, dims.width);
    var width = scale * dims.width;
    var height = scale * dims.height;
    var targetCanvas = createCanvas({ width: inputSize, height: inputSize });
    var inputCanvas = input instanceof Canvas ? input : createCanvasFromMedia(input);
    var offset = Math.abs(width - height) / 2;
    var dx = centerImage && width < height ? offset : 0;
    var dy = centerImage && height < width ? offset : 0;
    getContext2dOrThrow(targetCanvas).drawImage(inputCanvas, dx, dy, width, height);
    return targetCanvas;
}
//# sourceMappingURL=imageToSquare.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/NetInput.js






var NetInput = /** @class */ (function () {
    function NetInput(inputs, treatAsBatchInput) {
        var _this = this;
        if (treatAsBatchInput === void 0) { treatAsBatchInput = false; }
        this._imageTensors = [];
        this._canvases = [];
        this._treatAsBatchInput = false;
        this._inputDimensions = [];
        if (!Array.isArray(inputs)) {
            throw new Error("NetInput.constructor - expected inputs to be an Array of TResolvedNetInput or to be instanceof tf.Tensor4D, instead have " + inputs);
        }
        this._treatAsBatchInput = treatAsBatchInput;
        this._batchSize = inputs.length;
        inputs.forEach(function (input, idx) {
            if (isTensor3D(input)) {
                _this._imageTensors[idx] = input;
                _this._inputDimensions[idx] = input.shape;
                return;
            }
            if (isTensor4D(input)) {
                var batchSize = input.shape[0];
                if (batchSize !== 1) {
                    throw new Error("NetInput - tf.Tensor4D with batchSize " + batchSize + " passed, but not supported in input array");
                }
                _this._imageTensors[idx] = input;
                _this._inputDimensions[idx] = input.shape.slice(1);
                return;
            }
            var canvas = input instanceof env_env.getEnv().Canvas ? input : createCanvasFromMedia(input);
            _this._canvases[idx] = canvas;
            _this._inputDimensions[idx] = [canvas.height, canvas.width, 3];
        });
    }
    Object.defineProperty(NetInput.prototype, "imageTensors", {
        get: function () {
            return this._imageTensors;
        },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(NetInput.prototype, "canvases", {
        get: function () {
            return this._canvases;
        },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(NetInput.prototype, "isBatchInput", {
        get: function () {
            return this.batchSize > 1 || this._treatAsBatchInput;
        },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(NetInput.prototype, "batchSize", {
        get: function () {
            return this._batchSize;
        },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(NetInput.prototype, "inputDimensions", {
        get: function () {
            return this._inputDimensions;
        },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(NetInput.prototype, "inputSize", {
        get: function () {
            return this._inputSize;
        },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(NetInput.prototype, "reshapedInputDimensions", {
        get: function () {
            var _this = this;
            return range(this.batchSize, 0, 1).map(function (_, batchIdx) { return _this.getReshapedInputDimensions(batchIdx); });
        },
        enumerable: true,
        configurable: true
    });
    NetInput.prototype.getInput = function (batchIdx) {
        return this.canvases[batchIdx] || this.imageTensors[batchIdx];
    };
    NetInput.prototype.getInputDimensions = function (batchIdx) {
        return this._inputDimensions[batchIdx];
    };
    NetInput.prototype.getInputHeight = function (batchIdx) {
        return this._inputDimensions[batchIdx][0];
    };
    NetInput.prototype.getInputWidth = function (batchIdx) {
        return this._inputDimensions[batchIdx][1];
    };
    NetInput.prototype.getReshapedInputDimensions = function (batchIdx) {
        if (typeof this.inputSize !== 'number') {
            throw new Error('getReshapedInputDimensions - inputSize not set, toBatchTensor has not been called yet');
        }
        var width = this.getInputWidth(batchIdx);
        var height = this.getInputHeight(batchIdx);
        return computeReshapedDimensions({ width: width, height: height }, this.inputSize);
    };
    /**
     * Create a batch tensor from all input canvases and tensors
     * with size [batchSize, inputSize, inputSize, 3].
     *
     * @param inputSize Height and width of the tensor.
     * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on
     * both sides of the minor dimension oof the image.
     * @returns The batch tensor.
     */
    NetInput.prototype.toBatchTensor = function (inputSize, isCenterInputs) {
        var _this = this;
        if (isCenterInputs === void 0) { isCenterInputs = true; }
        this._inputSize = inputSize;
        return Ze(function () {
            var inputTensors = range(_this.batchSize, 0, 1).map(function (batchIdx) {
                var input = _this.getInput(batchIdx);
                if (input instanceof wt) {
                    var imgTensor = isTensor4D(input) ? input : input.expandDims();
                    imgTensor = padToSquare(imgTensor, isCenterInputs);
                    if (imgTensor.shape[1] !== inputSize || imgTensor.shape[2] !== inputSize) {
                        imgTensor = Oh.resizeBilinear(imgTensor, [inputSize, inputSize]);
                    }
                    return imgTensor.as3D(inputSize, inputSize, 3);
                }
                if (input instanceof env_env.getEnv().Canvas) {
                    return id.fromPixels(imageToSquare(input, inputSize, isCenterInputs));
                }
                throw new Error("toBatchTensor - at batchIdx " + batchIdx + ", expected input to be instanceof tf.Tensor or instanceof HTMLCanvasElement, instead have " + input);
            });
            var batchTensor = Pr(inputTensors.map(function (t) { return t.toFloat(); })).as4D(_this.batchSize, inputSize, inputSize, 3);
            return batchTensor;
        });
    };
    return NetInput;
}());

//# sourceMappingURL=NetInput.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/toNetInput.js






/**
 * Validates the input to make sure, they are valid net inputs and awaits all media elements
 * to be finished loading.
 *
 * @param input The input, which can be a media element or an array of different media elements.
 * @returns A NetInput instance, which can be passed into one of the neural networks.
 */
function toNetInput(inputs) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var inputArgArray, getIdxHint, inputArray;
        return tslib_es6_generator(this, function (_a) {
            switch (_a.label) {
                case 0:
                    if (inputs instanceof NetInput) {
                        return [2 /*return*/, inputs];
                    }
                    inputArgArray = Array.isArray(inputs)
                        ? inputs
                        : [inputs];
                    if (!inputArgArray.length) {
                        throw new Error('toNetInput - empty array passed as input');
                    }
                    getIdxHint = function (idx) { return Array.isArray(inputs) ? " at input index " + idx + ":" : ''; };
                    inputArray = inputArgArray.map(resolveInput);
                    inputArray.forEach(function (input, i) {
                        if (!isMediaElement(input) && !isTensor3D(input) && !isTensor4D(input)) {
                            if (typeof inputArgArray[i] === 'string') {
                                throw new Error("toNetInput -" + getIdxHint(i) + " string passed, but could not resolve HTMLElement for element id " + inputArgArray[i]);
                            }
                            throw new Error("toNetInput -" + getIdxHint(i) + " expected media to be of type HTMLImageElement | HTMLVideoElement | HTMLCanvasElement | tf.Tensor3D, or to be an element id");
                        }
                        if (isTensor4D(input)) {
                            // if tf.Tensor4D is passed in the input array, the batch size has to be 1
                            var batchSize = input.shape[0];
                            if (batchSize !== 1) {
                                throw new Error("toNetInput -" + getIdxHint(i) + " tf.Tensor4D with batchSize " + batchSize + " passed, but not supported in input array");
                            }
                        }
                    });
                    // wait for all media elements being loaded
                    return [4 /*yield*/, Promise.all(inputArray.map(function (input) { return isMediaElement(input) && awaitMediaLoaded(input); }))];
                case 1:
                    // wait for all media elements being loaded
                    _a.sent();
                    return [2 /*return*/, new NetInput(inputArray, Array.isArray(inputs))];
            }
        });
    });
}
//# sourceMappingURL=toNetInput.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/extractFaces.js







/**
 * Extracts the image regions containing the detected faces.
 *
 * @param input The image that face detection has been performed on.
 * @param detections The face detection results or face bounding boxes for that image.
 * @returns The Canvases of the corresponding image region for each detected face.
 */
function extractFaces(input, detections) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var Canvas, canvas, netInput, tensorOrCanvas, _a, ctx, boxes;
        return tslib_es6_generator(this, function (_b) {
            switch (_b.label) {
                case 0:
                    Canvas = env_env.getEnv().Canvas;
                    canvas = input;
                    if (!!(input instanceof Canvas)) return [3 /*break*/, 5];
                    return [4 /*yield*/, toNetInput(input)];
                case 1:
                    netInput = _b.sent();
                    if (netInput.batchSize > 1) {
                        throw new Error('extractFaces - batchSize > 1 not supported');
                    }
                    tensorOrCanvas = netInput.getInput(0);
                    if (!(tensorOrCanvas instanceof Canvas)) return [3 /*break*/, 2];
                    _a = tensorOrCanvas;
                    return [3 /*break*/, 4];
                case 2: return [4 /*yield*/, imageTensorToCanvas(tensorOrCanvas)];
                case 3:
                    _a = _b.sent();
                    _b.label = 4;
                case 4:
                    canvas = _a;
                    _b.label = 5;
                case 5:
                    ctx = getContext2dOrThrow(canvas);
                    boxes = detections.map(function (det) { return det instanceof FaceDetection
                        ? det.forSize(canvas.width, canvas.height).box.floor()
                        : det; })
                        .map(function (box) { return box.clipAtImageBorders(canvas.width, canvas.height); });
                    return [2 /*return*/, boxes.map(function (_a) {
                            var x = _a.x, y = _a.y, width = _a.width, height = _a.height;
                            var faceImg = createCanvas({ width: width, height: height });
                            getContext2dOrThrow(faceImg)
                                .putImageData(ctx.getImageData(x, y, width, height), 0, 0);
                            return faceImg;
                        })];
            }
        });
    });
}
//# sourceMappingURL=extractFaces.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/extractFaceTensors.js




/**
 * Extracts the tensors of the image regions containing the detected faces.
 * Useful if you want to compute the face descriptors for the face images.
 * Using this method is faster then extracting a canvas for each face and
 * converting them to tensors individually.
 *
 * @param imageTensor The image tensor that face detection has been performed on.
 * @param detections The face detection results or face bounding boxes for that image.
 * @returns Tensors of the corresponding image region for each detected face.
 */
function extractFaceTensors(imageTensor, detections) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        return tslib_es6_generator(this, function (_a) {
            if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
                throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D');
            }
            if (isTensor4D(imageTensor) && imageTensor.shape[0] > 1) {
                throw new Error('extractFaceTensors - batchSize > 1 not supported');
            }
            return [2 /*return*/, Ze(function () {
                    var _a = imageTensor.shape.slice(isTensor4D(imageTensor) ? 1 : 0), imgHeight = _a[0], imgWidth = _a[1], numChannels = _a[2];
                    var boxes = detections.map(function (det) { return det instanceof FaceDetection
                        ? det.forSize(imgWidth, imgHeight).box
                        : det; })
                        .map(function (box) { return box.clipAtImageBorders(imgWidth, imgHeight); });
                    var faceTensors = boxes.map(function (_a) {
                        var x = _a.x, y = _a.y, width = _a.width, height = _a.height;
                        return xl(imageTensor.as3D(imgHeight, imgWidth, numChannels), [y, x, 0], [height, width, numChannels]);
                    });
                    return faceTensors;
                })];
        });
    });
}
//# sourceMappingURL=extractFaceTensors.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/fetchOrThrow.js


function fetchOrThrow_fetchOrThrow(url, init) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var fetch, res;
        return tslib_es6_generator(this, function (_a) {
            switch (_a.label) {
                case 0:
                    fetch = env_env.getEnv().fetch;
                    return [4 /*yield*/, fetch(url, init)];
                case 1:
                    res = _a.sent();
                    if (!(res.status < 400)) {
                        throw new Error("failed to fetch: (" + res.status + ") " + res.statusText + ", from url: " + res.url);
                    }
                    return [2 /*return*/, res];
            }
        });
    });
}
//# sourceMappingURL=fetchOrThrow.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/fetchImage.js



function fetchImage(uri) {
    return __awaiter(this, void 0, void 0, function () {
        var res, blob;
        return __generator(this, function (_a) {
            switch (_a.label) {
                case 0: return [4 /*yield*/, fetchOrThrow(uri)];
                case 1:
                    res = _a.sent();
                    return [4 /*yield*/, (res).blob()];
                case 2:
                    blob = _a.sent();
                    if (!blob.type.startsWith('image/')) {
                        throw new Error("fetchImage - expected blob type to be of type image/*, instead have: " + blob.type + ", for url: " + res.url);
                    }
                    return [2 /*return*/, bufferToImage(blob)];
            }
        });
    });
}
//# sourceMappingURL=fetchImage.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/fetchJson.js


function fetchJson(uri) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        return tslib_es6_generator(this, function (_a) {
            switch (_a.label) {
                case 0: return [4 /*yield*/, fetchOrThrow_fetchOrThrow(uri)];
                case 1: return [2 /*return*/, (_a.sent()).json()];
            }
        });
    });
}
//# sourceMappingURL=fetchJson.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/fetchNetWeights.js


function fetchNetWeights(uri) {
    return __awaiter(this, void 0, void 0, function () {
        var _a;
        return __generator(this, function (_b) {
            switch (_b.label) {
                case 0:
                    _a = Float32Array.bind;
                    return [4 /*yield*/, fetchOrThrow(uri)];
                case 1: return [4 /*yield*/, (_b.sent()).arrayBuffer()];
                case 2: return [2 /*return*/, new (_a.apply(Float32Array, [void 0, _b.sent()]))()];
            }
        });
    });
}
//# sourceMappingURL=fetchNetWeights.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/getModelUris.js
function getModelUris(uri, defaultModelName) {
    var defaultManifestFilename = defaultModelName + "-weights_manifest.json";
    if (!uri) {
        return {
            modelBaseUri: '',
            manifestUri: defaultManifestFilename
        };
    }
    if (uri === '/') {
        return {
            modelBaseUri: '/',
            manifestUri: "/" + defaultManifestFilename
        };
    }
    var protocol = uri.startsWith('http://') ? 'http://' : uri.startsWith('https://') ? 'https://' : '';
    uri = uri.replace(protocol, '');
    var parts = uri.split('/').filter(function (s) { return s; });
    var manifestFile = uri.endsWith('.json')
        ? parts[parts.length - 1]
        : defaultManifestFilename;
    var modelBaseUri = protocol + (uri.endsWith('.json') ? parts.slice(0, parts.length - 1) : parts).join('/');
    modelBaseUri = uri.startsWith('/') ? "/" + modelBaseUri : modelBaseUri;
    return {
        modelBaseUri: modelBaseUri,
        manifestUri: modelBaseUri === '/' ? "/" + manifestFile : modelBaseUri + "/" + manifestFile
    };
}
//# sourceMappingURL=getModelUris.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/loadWeightMap.js




function loadWeightMap(uri, defaultModelName) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var _a, manifestUri, modelBaseUri, manifest;
        return tslib_es6_generator(this, function (_b) {
            switch (_b.label) {
                case 0:
                    _a = getModelUris(uri, defaultModelName), manifestUri = _a.manifestUri, modelBaseUri = _a.modelBaseUri;
                    return [4 /*yield*/, fetchJson(manifestUri)];
                case 1:
                    manifest = _b.sent();
                    return [2 /*return*/, ed.loadWeights(manifest, modelBaseUri)];
            }
        });
    });
}
//# sourceMappingURL=loadWeightMap.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/matchDimensions.js

function matchDimensions(input, reference, useMediaDimensions) {
    if (useMediaDimensions === void 0) { useMediaDimensions = false; }
    var _a = useMediaDimensions
        ? getMediaDimensions(reference)
        : reference, width = _a.width, height = _a.height;
    input.width = width;
    input.height = height;
    return { width: width, height: height };
}
//# sourceMappingURL=matchDimensions.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/dom/index.js




















//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/NeuralNetwork.js





var NeuralNetwork = /** @class */ (function () {
    function NeuralNetwork(_name) {
        this._name = _name;
        this._params = undefined;
        this._paramMappings = [];
    }
    Object.defineProperty(NeuralNetwork.prototype, "params", {
        get: function () { return this._params; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(NeuralNetwork.prototype, "paramMappings", {
        get: function () { return this._paramMappings; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(NeuralNetwork.prototype, "isLoaded", {
        get: function () { return !!this.params; },
        enumerable: true,
        configurable: true
    });
    NeuralNetwork.prototype.getParamFromPath = function (paramPath) {
        var _a = this.traversePropertyPath(paramPath), obj = _a.obj, objProp = _a.objProp;
        return obj[objProp];
    };
    NeuralNetwork.prototype.reassignParamFromPath = function (paramPath, tensor) {
        var _a = this.traversePropertyPath(paramPath), obj = _a.obj, objProp = _a.objProp;
        obj[objProp].dispose();
        obj[objProp] = tensor;
    };
    NeuralNetwork.prototype.getParamList = function () {
        var _this = this;
        return this._paramMappings.map(function (_a) {
            var paramPath = _a.paramPath;
            return ({
                path: paramPath,
                tensor: _this.getParamFromPath(paramPath)
            });
        });
    };
    NeuralNetwork.prototype.getTrainableParams = function () {
        return this.getParamList().filter(function (param) { return param.tensor instanceof St; });
    };
    NeuralNetwork.prototype.getFrozenParams = function () {
        return this.getParamList().filter(function (param) { return !(param.tensor instanceof St); });
    };
    NeuralNetwork.prototype.variable = function () {
        var _this = this;
        this.getFrozenParams().forEach(function (_a) {
            var path = _a.path, tensor = _a.tensor;
            _this.reassignParamFromPath(path, tensor.variable());
        });
    };
    NeuralNetwork.prototype.freeze = function () {
        var _this = this;
        this.getTrainableParams().forEach(function (_a) {
            var path = _a.path, variable = _a.tensor;
            var tensor = Fn(variable.dataSync());
            variable.dispose();
            _this.reassignParamFromPath(path, tensor);
        });
    };
    NeuralNetwork.prototype.dispose = function (throwOnRedispose) {
        if (throwOnRedispose === void 0) { throwOnRedispose = true; }
        this.getParamList().forEach(function (param) {
            if (throwOnRedispose && param.tensor.isDisposed) {
                throw new Error("param tensor has already been disposed for path " + param.path);
            }
            param.tensor.dispose();
        });
        this._params = undefined;
    };
    NeuralNetwork.prototype.serializeParams = function () {
        return new Float32Array(this.getParamList()
            .map(function (_a) {
            var tensor = _a.tensor;
            return Array.from(tensor.dataSync());
        })
            .reduce(function (flat, arr) { return flat.concat(arr); }));
    };
    NeuralNetwork.prototype.load = function (weightsOrUrl) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0:
                        if (weightsOrUrl instanceof Float32Array) {
                            this.extractWeights(weightsOrUrl);
                            return [2 /*return*/];
                        }
                        return [4 /*yield*/, this.loadFromUri(weightsOrUrl)];
                    case 1:
                        _a.sent();
                        return [2 /*return*/];
                }
            });
        });
    };
    NeuralNetwork.prototype.loadFromUri = function (uri) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var weightMap;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0:
                        if (uri && typeof uri !== 'string') {
                            throw new Error(this._name + ".loadFromUri - expected model uri");
                        }
                        return [4 /*yield*/, loadWeightMap(uri, this.getDefaultModelName())];
                    case 1:
                        weightMap = _a.sent();
                        this.loadFromWeightMap(weightMap);
                        return [2 /*return*/];
                }
            });
        });
    };
    NeuralNetwork.prototype.loadFromDisk = function (filePath) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var readFile, _a, manifestUri, modelBaseUri, fetchWeightsFromDisk, loadWeights, manifest, _b, _c, weightMap;
            return tslib_es6_generator(this, function (_d) {
                switch (_d.label) {
                    case 0:
                        if (filePath && typeof filePath !== 'string') {
                            throw new Error(this._name + ".loadFromDisk - expected model file path");
                        }
                        readFile = env_env.getEnv().readFile;
                        _a = getModelUris(filePath, this.getDefaultModelName()), manifestUri = _a.manifestUri, modelBaseUri = _a.modelBaseUri;
                        fetchWeightsFromDisk = function (filePaths) { return Promise.all(filePaths.map(function (filePath) { return readFile(filePath).then(function (buf) { return buf.buffer; }); })); };
                        loadWeights = ed.weightsLoaderFactory(fetchWeightsFromDisk);
                        _c = (_b = JSON).parse;
                        return [4 /*yield*/, readFile(manifestUri)];
                    case 1:
                        manifest = _c.apply(_b, [(_d.sent()).toString()]);
                        return [4 /*yield*/, loadWeights(manifest, modelBaseUri)];
                    case 2:
                        weightMap = _d.sent();
                        this.loadFromWeightMap(weightMap);
                        return [2 /*return*/];
                }
            });
        });
    };
    NeuralNetwork.prototype.loadFromWeightMap = function (weightMap) {
        var _a = this.extractParamsFromWeigthMap(weightMap), paramMappings = _a.paramMappings, params = _a.params;
        this._paramMappings = paramMappings;
        this._params = params;
    };
    NeuralNetwork.prototype.extractWeights = function (weights) {
        var _a = this.extractParams(weights), paramMappings = _a.paramMappings, params = _a.params;
        this._paramMappings = paramMappings;
        this._params = params;
    };
    NeuralNetwork.prototype.traversePropertyPath = function (paramPath) {
        if (!this.params) {
            throw new Error("traversePropertyPath - model has no loaded params");
        }
        var result = paramPath.split('/').reduce(function (res, objProp) {
            if (!res.nextObj.hasOwnProperty(objProp)) {
                throw new Error("traversePropertyPath - object does not have property " + objProp + ", for path " + paramPath);
            }
            return { obj: res.nextObj, objProp: objProp, nextObj: res.nextObj[objProp] };
        }, { nextObj: this.params });
        var obj = result.obj, objProp = result.objProp;
        if (!obj || !objProp || !(obj[objProp] instanceof wt)) {
            throw new Error("traversePropertyPath - parameter is not a tensor, for path " + paramPath);
        }
        return { obj: obj, objProp: objProp };
    };
    return NeuralNetwork;
}());

//# sourceMappingURL=NeuralNetwork.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/depthwiseSeparableConv.js

function depthwiseSeparableConv(x, params, stride) {
    return Ze(function () {
        var out = Jc(x, params.depthwise_filter, params.pointwise_filter, stride, 'same');
        out = rc(out, params.bias);
        return out;
    });
}
//# sourceMappingURL=depthwiseSeparableConv.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceFeatureExtractor/denseBlock.js


function denseBlock3(x, denseBlockParams, isFirstLayer) {
    if (isFirstLayer === void 0) { isFirstLayer = false; }
    return Ze(function () {
        var out1 = Bl(isFirstLayer
            ? rc(qc(x, denseBlockParams.conv0.filters, [2, 2], 'same'), denseBlockParams.conv0.bias)
            : depthwiseSeparableConv(x, denseBlockParams.conv0, [2, 2]));
        var out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);
        var in3 = Bl(rc(out1, out2));
        var out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);
        return Bl(rc(out1, rc(out2, out3)));
    });
}
function denseBlock4(x, denseBlockParams, isFirstLayer, isScaleDown) {
    if (isFirstLayer === void 0) { isFirstLayer = false; }
    if (isScaleDown === void 0) { isScaleDown = true; }
    return Ze(function () {
        var out1 = Bl(isFirstLayer
            ? rc(qc(x, denseBlockParams.conv0.filters, isScaleDown ? [2, 2] : [1, 1], 'same'), denseBlockParams.conv0.bias)
            : depthwiseSeparableConv(x, denseBlockParams.conv0, isScaleDown ? [2, 2] : [1, 1]));
        var out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);
        var in3 = Bl(rc(out1, out2));
        var out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);
        var in4 = Bl(rc(out1, rc(out2, out3)));
        var out4 = depthwiseSeparableConv(in4, denseBlockParams.conv3, [1, 1]);
        return Bl(rc(out1, rc(out2, rc(out3, out4))));
    });
}
//# sourceMappingURL=denseBlock.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/convLayer.js

function convLayer(x, params, padding, withRelu) {
    if (padding === void 0) { padding = 'same'; }
    if (withRelu === void 0) { withRelu = false; }
    return Ze(function () {
        var out = rc(qc(x, params.filters, [1, 1], padding), params.bias);
        return withRelu ? Bl(out) : out;
    });
}
//# sourceMappingURL=convLayer.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/disposeUnusedWeightTensors.js
function disposeUnusedWeightTensors(weightMap, paramMappings) {
    Object.keys(weightMap).forEach(function (path) {
        if (!paramMappings.some(function (pm) { return pm.originalPath === path; })) {
            weightMap[path].dispose();
        }
    });
}
//# sourceMappingURL=disposeUnusedWeightTensors.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/extractConvParamsFactory.js

function extractConvParamsFactory(extractWeights, paramMappings) {
    return function (channelsIn, channelsOut, filterSize, mappedPrefix) {
        var filters = Ln(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
        var bias = Mn(extractWeights(channelsOut));
        paramMappings.push({ paramPath: mappedPrefix + "/filters" }, { paramPath: mappedPrefix + "/bias" });
        return { filters: filters, bias: bias };
    };
}
//# sourceMappingURL=extractConvParamsFactory.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/extractFCParamsFactory.js

function extractFCParamsFactory(extractWeights, paramMappings) {
    return function (channelsIn, channelsOut, mappedPrefix) {
        var fc_weights = Bn(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);
        var fc_bias = Mn(extractWeights(channelsOut));
        paramMappings.push({ paramPath: mappedPrefix + "/weights" }, { paramPath: mappedPrefix + "/bias" });
        return {
            weights: fc_weights,
            bias: fc_bias
        };
    };
}
//# sourceMappingURL=extractFCParamsFactory.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/types.js
var SeparableConvParams = /** @class */ (function () {
    function SeparableConvParams(depthwise_filter, pointwise_filter, bias) {
        this.depthwise_filter = depthwise_filter;
        this.pointwise_filter = pointwise_filter;
        this.bias = bias;
    }
    return SeparableConvParams;
}());

//# sourceMappingURL=types.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/extractSeparableConvParamsFactory.js


function extractSeparableConvParamsFactory(extractWeights, paramMappings) {
    return function (channelsIn, channelsOut, mappedPrefix) {
        var depthwise_filter = Ln(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);
        var pointwise_filter = Ln(extractWeights(channelsIn * channelsOut), [1, 1, channelsIn, channelsOut]);
        var bias = Mn(extractWeights(channelsOut));
        paramMappings.push({ paramPath: mappedPrefix + "/depthwise_filter" }, { paramPath: mappedPrefix + "/pointwise_filter" }, { paramPath: mappedPrefix + "/bias" });
        return new SeparableConvParams(depthwise_filter, pointwise_filter, bias);
    };
}
function loadSeparableConvParamsFactory(extractWeightEntry) {
    return function (prefix) {
        var depthwise_filter = extractWeightEntry(prefix + "/depthwise_filter", 4);
        var pointwise_filter = extractWeightEntry(prefix + "/pointwise_filter", 4);
        var bias = extractWeightEntry(prefix + "/bias", 1);
        return new SeparableConvParams(depthwise_filter, pointwise_filter, bias);
    };
}
//# sourceMappingURL=extractSeparableConvParamsFactory.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/extractWeightEntryFactory.js

function extractWeightEntryFactory(weightMap, paramMappings) {
    return function (originalPath, paramRank, mappedPath) {
        var tensor = weightMap[originalPath];
        if (!isTensor(tensor, paramRank)) {
            throw new Error("expected weightMap[" + originalPath + "] to be a Tensor" + paramRank + "D, instead have " + tensor);
        }
        paramMappings.push({ originalPath: originalPath, paramPath: mappedPath || originalPath });
        return tensor;
    };
}
//# sourceMappingURL=extractWeightEntryFactory.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/extractWeightsFactory.js
function extractWeightsFactory(weights) {
    var remainingWeights = weights;
    function extractWeights(numWeights) {
        var ret = remainingWeights.slice(0, numWeights);
        remainingWeights = remainingWeights.slice(numWeights);
        return ret;
    }
    function getRemainingWeights() {
        return remainingWeights;
    }
    return {
        extractWeights: extractWeights,
        getRemainingWeights: getRemainingWeights
    };
}
//# sourceMappingURL=extractWeightsFactory.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/index.js










//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceFeatureExtractor/extractorsFactory.js

function extractorsFactory(extractWeights, paramMappings) {
    var extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
    var extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
    function extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer) {
        if (isFirstLayer === void 0) { isFirstLayer = false; }
        var conv0 = isFirstLayer
            ? extractConvParams(channelsIn, channelsOut, 3, mappedPrefix + "/conv0")
            : extractSeparableConvParams(channelsIn, channelsOut, mappedPrefix + "/conv0");
        var conv1 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/conv1");
        var conv2 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/conv2");
        return { conv0: conv0, conv1: conv1, conv2: conv2 };
    }
    function extractDenseBlock4Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer) {
        if (isFirstLayer === void 0) { isFirstLayer = false; }
        var _a = extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer), conv0 = _a.conv0, conv1 = _a.conv1, conv2 = _a.conv2;
        var conv3 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/conv3");
        return { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3 };
    }
    return {
        extractDenseBlock3Params: extractDenseBlock3Params,
        extractDenseBlock4Params: extractDenseBlock4Params
    };
}
//# sourceMappingURL=extractorsFactory.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceFeatureExtractor/extractParams.js


function extractParams(weights) {
    var paramMappings = [];
    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var extractDenseBlock4Params = extractorsFactory(extractWeights, paramMappings).extractDenseBlock4Params;
    var dense0 = extractDenseBlock4Params(3, 32, 'dense0', true);
    var dense1 = extractDenseBlock4Params(32, 64, 'dense1');
    var dense2 = extractDenseBlock4Params(64, 128, 'dense2');
    var dense3 = extractDenseBlock4Params(128, 256, 'dense3');
    if (getRemainingWeights().length !== 0) {
        throw new Error("weights remaing after extract: " + getRemainingWeights().length);
    }
    return {
        paramMappings: paramMappings,
        params: { dense0: dense0, dense1: dense1, dense2: dense2, dense3: dense3 }
    };
}
//# sourceMappingURL=extractParams.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/loadConvParamsFactory.js
function loadConvParamsFactory(extractWeightEntry) {
    return function (prefix) {
        var filters = extractWeightEntry(prefix + "/filters", 4);
        var bias = extractWeightEntry(prefix + "/bias", 1);
        return { filters: filters, bias: bias };
    };
}
//# sourceMappingURL=loadConvParamsFactory.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceFeatureExtractor/loadParamsFactory.js


function loadParamsFactory(weightMap, paramMappings) {
    var extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
    var extractConvParams = loadConvParamsFactory(extractWeightEntry);
    var extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);
    function extractDenseBlock3Params(prefix, isFirstLayer) {
        if (isFirstLayer === void 0) { isFirstLayer = false; }
        var conv0 = isFirstLayer
            ? extractConvParams(prefix + "/conv0")
            : extractSeparableConvParams(prefix + "/conv0");
        var conv1 = extractSeparableConvParams(prefix + "/conv1");
        var conv2 = extractSeparableConvParams(prefix + "/conv2");
        return { conv0: conv0, conv1: conv1, conv2: conv2 };
    }
    function extractDenseBlock4Params(prefix, isFirstLayer) {
        if (isFirstLayer === void 0) { isFirstLayer = false; }
        var conv0 = isFirstLayer
            ? extractConvParams(prefix + "/conv0")
            : extractSeparableConvParams(prefix + "/conv0");
        var conv1 = extractSeparableConvParams(prefix + "/conv1");
        var conv2 = extractSeparableConvParams(prefix + "/conv2");
        var conv3 = extractSeparableConvParams(prefix + "/conv3");
        return { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3 };
    }
    return {
        extractDenseBlock3Params: extractDenseBlock3Params,
        extractDenseBlock4Params: extractDenseBlock4Params
    };
}
//# sourceMappingURL=loadParamsFactory.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.js


function extractParamsFromWeigthMap(weightMap) {
    var paramMappings = [];
    var extractDenseBlock4Params = loadParamsFactory(weightMap, paramMappings).extractDenseBlock4Params;
    var params = {
        dense0: extractDenseBlock4Params('dense0', true),
        dense1: extractDenseBlock4Params('dense1'),
        dense2: extractDenseBlock4Params('dense2'),
        dense3: extractDenseBlock4Params('dense3')
    };
    disposeUnusedWeightTensors(weightMap, paramMappings);
    return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParamsFromWeigthMap.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceFeatureExtractor/FaceFeatureExtractor.js








var FaceFeatureExtractor = /** @class */ (function (_super) {
    __extends(FaceFeatureExtractor, _super);
    function FaceFeatureExtractor() {
        return _super.call(this, 'FaceFeatureExtractor') || this;
    }
    FaceFeatureExtractor.prototype.forwardInput = function (input) {
        var params = this.params;
        if (!params) {
            throw new Error('FaceFeatureExtractor - load model before inference');
        }
        return Ze(function () {
            var batchTensor = input.toBatchTensor(112, true);
            var meanRgb = [122.782, 117.001, 104.298];
            var normalized = normalize(batchTensor, meanRgb).div(On(255));
            var out = denseBlock4(normalized, params.dense0, true);
            out = denseBlock4(out, params.dense1);
            out = denseBlock4(out, params.dense2);
            out = denseBlock4(out, params.dense3);
            out = fl(out, [7, 7], [2, 2], 'valid');
            return out;
        });
    };
    FaceFeatureExtractor.prototype.forward = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
                }
            });
        });
    };
    FaceFeatureExtractor.prototype.getDefaultModelName = function () {
        return 'face_feature_extractor_model';
    };
    FaceFeatureExtractor.prototype.extractParamsFromWeigthMap = function (weightMap) {
        return extractParamsFromWeigthMap(weightMap);
    };
    FaceFeatureExtractor.prototype.extractParams = function (weights) {
        return extractParams(weights);
    };
    return FaceFeatureExtractor;
}(NeuralNetwork));

//# sourceMappingURL=FaceFeatureExtractor.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/common/fullyConnectedLayer.js

function fullyConnectedLayer(x, params) {
    return Ze(function () {
        return rc(el(x, params.weights), params.bias);
    });
}
//# sourceMappingURL=fullyConnectedLayer.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceProcessor/extractParams.js

function extractParams_extractParams(weights, channelsIn, channelsOut) {
    var paramMappings = [];
    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);
    var fc = extractFCParams(channelsIn, channelsOut, 'fc');
    if (getRemainingWeights().length !== 0) {
        throw new Error("weights remaing after extract: " + getRemainingWeights().length);
    }
    return {
        paramMappings: paramMappings,
        params: { fc: fc }
    };
}
//# sourceMappingURL=extractParams.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceProcessor/extractParamsFromWeigthMap.js

function extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap) {
    var paramMappings = [];
    var extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
    function extractFcParams(prefix) {
        var weights = extractWeightEntry(prefix + "/weights", 2);
        var bias = extractWeightEntry(prefix + "/bias", 1);
        return { weights: weights, bias: bias };
    }
    var params = {
        fc: extractFcParams('fc')
    };
    disposeUnusedWeightTensors(weightMap, paramMappings);
    return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParamsFromWeigthMap.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceProcessor/util.js
function seperateWeightMaps(weightMap) {
    var featureExtractorMap = {};
    var classifierMap = {};
    Object.keys(weightMap).forEach(function (key) {
        var map = key.startsWith('fc') ? classifierMap : featureExtractorMap;
        map[key] = weightMap[key];
    });
    return { featureExtractorMap: featureExtractorMap, classifierMap: classifierMap };
}
//# sourceMappingURL=util.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceProcessor/FaceProcessor.js








var FaceProcessor = /** @class */ (function (_super) {
    __extends(FaceProcessor, _super);
    function FaceProcessor(_name, faceFeatureExtractor) {
        var _this = _super.call(this, _name) || this;
        _this._faceFeatureExtractor = faceFeatureExtractor;
        return _this;
    }
    Object.defineProperty(FaceProcessor.prototype, "faceFeatureExtractor", {
        get: function () {
            return this._faceFeatureExtractor;
        },
        enumerable: true,
        configurable: true
    });
    FaceProcessor.prototype.runNet = function (input) {
        var _this = this;
        var params = this.params;
        if (!params) {
            throw new Error(this._name + " - load model before inference");
        }
        return Ze(function () {
            var bottleneckFeatures = input instanceof NetInput
                ? _this.faceFeatureExtractor.forwardInput(input)
                : input;
            return fullyConnectedLayer(bottleneckFeatures.as2D(bottleneckFeatures.shape[0], -1), params.fc);
        });
    };
    FaceProcessor.prototype.dispose = function (throwOnRedispose) {
        if (throwOnRedispose === void 0) { throwOnRedispose = true; }
        this.faceFeatureExtractor.dispose(throwOnRedispose);
        _super.prototype.dispose.call(this, throwOnRedispose);
    };
    FaceProcessor.prototype.loadClassifierParams = function (weights) {
        var _a = this.extractClassifierParams(weights), params = _a.params, paramMappings = _a.paramMappings;
        this._params = params;
        this._paramMappings = paramMappings;
    };
    FaceProcessor.prototype.extractClassifierParams = function (weights) {
        return extractParams_extractParams(weights, this.getClassifierChannelsIn(), this.getClassifierChannelsOut());
    };
    FaceProcessor.prototype.extractParamsFromWeigthMap = function (weightMap) {
        var _a = seperateWeightMaps(weightMap), featureExtractorMap = _a.featureExtractorMap, classifierMap = _a.classifierMap;
        this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);
        return extractParamsFromWeigthMap_extractParamsFromWeigthMap(classifierMap);
    };
    FaceProcessor.prototype.extractParams = function (weights) {
        var cIn = this.getClassifierChannelsIn();
        var cOut = this.getClassifierChannelsOut();
        var classifierWeightSize = (cOut * cIn) + cOut;
        var featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);
        var classifierWeights = weights.slice(weights.length - classifierWeightSize);
        this.faceFeatureExtractor.extractWeights(featureExtractorWeights);
        return this.extractClassifierParams(classifierWeights);
    };
    return FaceProcessor;
}(NeuralNetwork));

//# sourceMappingURL=FaceProcessor.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceExpressionNet/FaceExpressions.js
var FACE_EXPRESSION_LABELS = ['neutral', 'happy', 'sad', 'angry', 'fearful', 'disgusted', 'surprised'];
var FaceExpressions = /** @class */ (function () {
    function FaceExpressions(probabilities) {
        var _this = this;
        if (probabilities.length !== 7) {
            throw new Error("FaceExpressions.constructor - expected probabilities.length to be 7, have: " + probabilities.length);
        }
        FACE_EXPRESSION_LABELS.forEach(function (expression, idx) {
            _this[expression] = probabilities[idx];
        });
    }
    FaceExpressions.prototype.asSortedArray = function () {
        var _this = this;
        return FACE_EXPRESSION_LABELS
            .map(function (expression) { return ({ expression: expression, probability: _this[expression] }); })
            .sort(function (e0, e1) { return e1.probability - e0.probability; });
    };
    return FaceExpressions;
}());

//# sourceMappingURL=FaceExpressions.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceExpressionNet/FaceExpressionNet.js






var FaceExpressionNet = /** @class */ (function (_super) {
    __extends(FaceExpressionNet, _super);
    function FaceExpressionNet(faceFeatureExtractor) {
        if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor(); }
        return _super.call(this, 'FaceExpressionNet', faceFeatureExtractor) || this;
    }
    FaceExpressionNet.prototype.forwardInput = function (input) {
        var _this = this;
        return Ze(function () { return go(_this.runNet(input)); });
    };
    FaceExpressionNet.prototype.forward = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
                }
            });
        });
    };
    FaceExpressionNet.prototype.predictExpressions = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var netInput, out, probabilitesByBatch, predictionsByBatch;
            var _this = this;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, toNetInput(input)];
                    case 1:
                        netInput = _a.sent();
                        return [4 /*yield*/, this.forwardInput(netInput)];
                    case 2:
                        out = _a.sent();
                        return [4 /*yield*/, Promise.all(Ur(out).map(function (t) { return tslib_es6_awaiter(_this, void 0, void 0, function () {
                                var data;
                                return tslib_es6_generator(this, function (_a) {
                                    switch (_a.label) {
                                        case 0: return [4 /*yield*/, t.data()];
                                        case 1:
                                            data = _a.sent();
                                            t.dispose();
                                            return [2 /*return*/, data];
                                    }
                                });
                            }); }))];
                    case 3:
                        probabilitesByBatch = _a.sent();
                        out.dispose();
                        predictionsByBatch = probabilitesByBatch
                            .map(function (probabilites) { return new FaceExpressions(probabilites); });
                        return [2 /*return*/, netInput.isBatchInput
                                ? predictionsByBatch
                                : predictionsByBatch[0]];
                }
            });
        });
    };
    FaceExpressionNet.prototype.getDefaultModelName = function () {
        return 'face_expression_model';
    };
    FaceExpressionNet.prototype.getClassifierChannelsIn = function () {
        return 256;
    };
    FaceExpressionNet.prototype.getClassifierChannelsOut = function () {
        return 7;
    };
    return FaceExpressionNet;
}(FaceProcessor));

//# sourceMappingURL=FaceExpressionNet.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceExpressionNet/index.js


//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/factories/WithFaceExpressions.js

function isWithFaceExpressions(obj) {
    return obj['expressions'] instanceof FaceExpressions;
}
function extendWithFaceExpressions(sourceObj, expressions) {
    var extension = { expressions: expressions };
    return Object.assign({}, sourceObj, extension);
}
//# sourceMappingURL=WithFaceExpressions.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/draw/drawFaceExpressions.js






function drawFaceExpressions(canvasArg, faceExpressions, minConfidence, textFieldAnchor) {
    if (minConfidence === void 0) { minConfidence = 0.1; }
    var faceExpressionsArray = Array.isArray(faceExpressions) ? faceExpressions : [faceExpressions];
    faceExpressionsArray.forEach(function (e) {
        var expr = e instanceof FaceExpressions
            ? e
            : (isWithFaceExpressions(e) ? e.expressions : undefined);
        if (!expr) {
            throw new Error('drawFaceExpressions - expected faceExpressions to be FaceExpressions | WithFaceExpressions<{}> or array thereof');
        }
        var sorted = expr.asSortedArray();
        var resultsToDisplay = sorted.filter(function (expr) { return expr.probability > minConfidence; });
        var anchor = isWithFaceDetection(e)
            ? e.detection.box.bottomLeft
            : (textFieldAnchor || new Point(0, 0));
        var drawTextField = new DrawTextField(resultsToDisplay.map(function (expr) { return expr.expression + " (" + round(expr.probability) + ")"; }), anchor);
        drawTextField.draw(canvasArg);
    });
}
//# sourceMappingURL=drawFaceExpressions.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/factories/WithFaceLandmarks.js



function isWithFaceLandmarks(obj) {
    return isWithFaceDetection(obj)
        && obj['landmarks'] instanceof FaceLandmarks
        && obj['unshiftedLandmarks'] instanceof FaceLandmarks
        && obj['alignedRect'] instanceof FaceDetection;
}
function extendWithFaceLandmarks(sourceObj, unshiftedLandmarks) {
    var shift = sourceObj.detection.box;
    var landmarks = unshiftedLandmarks.shiftBy(shift.x, shift.y);
    var rect = landmarks.align();
    var imageDims = sourceObj.detection.imageDims;
    var alignedRect = new FaceDetection(sourceObj.detection.score, rect.rescale(imageDims.reverse()), imageDims);
    var extension = {
        landmarks: landmarks,
        unshiftedLandmarks: unshiftedLandmarks,
        alignedRect: alignedRect
    };
    return Object.assign({}, sourceObj, extension);
}
//# sourceMappingURL=WithFaceLandmarks.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/draw/DrawFaceLandmarks.js





var DrawFaceLandmarksOptions = /** @class */ (function () {
    function DrawFaceLandmarksOptions(options) {
        if (options === void 0) { options = {}; }
        var _a = options.drawLines, drawLines = _a === void 0 ? true : _a, _b = options.drawPoints, drawPoints = _b === void 0 ? true : _b, lineWidth = options.lineWidth, lineColor = options.lineColor, pointSize = options.pointSize, pointColor = options.pointColor;
        this.drawLines = drawLines;
        this.drawPoints = drawPoints;
        this.lineWidth = lineWidth || 1;
        this.pointSize = pointSize || 2;
        this.lineColor = lineColor || 'rgba(0, 255, 255, 1)';
        this.pointColor = pointColor || 'rgba(255, 0, 255, 1)';
    }
    return DrawFaceLandmarksOptions;
}());

var DrawFaceLandmarks = /** @class */ (function () {
    function DrawFaceLandmarks(faceLandmarks, options) {
        if (options === void 0) { options = {}; }
        this.faceLandmarks = faceLandmarks;
        this.options = new DrawFaceLandmarksOptions(options);
    }
    DrawFaceLandmarks.prototype.draw = function (canvasArg) {
        var ctx = getContext2dOrThrow(canvasArg);
        var _a = this.options, drawLines = _a.drawLines, drawPoints = _a.drawPoints, lineWidth = _a.lineWidth, lineColor = _a.lineColor, pointSize = _a.pointSize, pointColor = _a.pointColor;
        if (drawLines && this.faceLandmarks instanceof FaceLandmarks68) {
            ctx.strokeStyle = lineColor;
            ctx.lineWidth = lineWidth;
            drawContour(ctx, this.faceLandmarks.getJawOutline());
            drawContour(ctx, this.faceLandmarks.getLeftEyeBrow());
            drawContour(ctx, this.faceLandmarks.getRightEyeBrow());
            drawContour(ctx, this.faceLandmarks.getNose());
            drawContour(ctx, this.faceLandmarks.getLeftEye(), true);
            drawContour(ctx, this.faceLandmarks.getRightEye(), true);
            drawContour(ctx, this.faceLandmarks.getMouth(), true);
        }
        if (drawPoints) {
            ctx.strokeStyle = pointColor;
            ctx.fillStyle = pointColor;
            var drawPoint = function (pt) {
                ctx.beginPath();
                ctx.arc(pt.x, pt.y, pointSize, 0, 2 * Math.PI);
                ctx.fill();
            };
            this.faceLandmarks.positions.forEach(drawPoint);
        }
    };
    return DrawFaceLandmarks;
}());

function drawFaceLandmarks(canvasArg, faceLandmarks) {
    var faceLandmarksArray = Array.isArray(faceLandmarks) ? faceLandmarks : [faceLandmarks];
    faceLandmarksArray.forEach(function (f) {
        var landmarks = f instanceof FaceLandmarks
            ? f
            : (isWithFaceLandmarks(f) ? f.landmarks : undefined);
        if (!landmarks) {
            throw new Error('drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks<WithFaceDetection<{}>> or array thereof');
        }
        new DrawFaceLandmarks(landmarks).draw(canvasArg);
    });
}
//# sourceMappingURL=DrawFaceLandmarks.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/draw/index.js






//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/xception/extractParams.js


function extractParams_extractorsFactory(extractWeights, paramMappings) {
    var extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
    var extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
    function extractReductionBlockParams(channelsIn, channelsOut, mappedPrefix) {
        var separable_conv0 = extractSeparableConvParams(channelsIn, channelsOut, mappedPrefix + "/separable_conv0");
        var separable_conv1 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/separable_conv1");
        var expansion_conv = extractConvParams(channelsIn, channelsOut, 1, mappedPrefix + "/expansion_conv");
        return { separable_conv0: separable_conv0, separable_conv1: separable_conv1, expansion_conv: expansion_conv };
    }
    function extractMainBlockParams(channels, mappedPrefix) {
        var separable_conv0 = extractSeparableConvParams(channels, channels, mappedPrefix + "/separable_conv0");
        var separable_conv1 = extractSeparableConvParams(channels, channels, mappedPrefix + "/separable_conv1");
        var separable_conv2 = extractSeparableConvParams(channels, channels, mappedPrefix + "/separable_conv2");
        return { separable_conv0: separable_conv0, separable_conv1: separable_conv1, separable_conv2: separable_conv2 };
    }
    return {
        extractConvParams: extractConvParams,
        extractSeparableConvParams: extractSeparableConvParams,
        extractReductionBlockParams: extractReductionBlockParams,
        extractMainBlockParams: extractMainBlockParams
    };
}
function xception_extractParams_extractParams(weights, numMainBlocks) {
    var paramMappings = [];
    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var _b = extractParams_extractorsFactory(extractWeights, paramMappings), extractConvParams = _b.extractConvParams, extractSeparableConvParams = _b.extractSeparableConvParams, extractReductionBlockParams = _b.extractReductionBlockParams, extractMainBlockParams = _b.extractMainBlockParams;
    var entry_flow_conv_in = extractConvParams(3, 32, 3, 'entry_flow/conv_in');
    var entry_flow_reduction_block_0 = extractReductionBlockParams(32, 64, 'entry_flow/reduction_block_0');
    var entry_flow_reduction_block_1 = extractReductionBlockParams(64, 128, 'entry_flow/reduction_block_1');
    var entry_flow = {
        conv_in: entry_flow_conv_in,
        reduction_block_0: entry_flow_reduction_block_0,
        reduction_block_1: entry_flow_reduction_block_1
    };
    var middle_flow = {};
    range(numMainBlocks, 0, 1).forEach(function (idx) {
        middle_flow["main_block_" + idx] = extractMainBlockParams(128, "middle_flow/main_block_" + idx);
    });
    var exit_flow_reduction_block = extractReductionBlockParams(128, 256, 'exit_flow/reduction_block');
    var exit_flow_separable_conv = extractSeparableConvParams(256, 512, 'exit_flow/separable_conv');
    var exit_flow = {
        reduction_block: exit_flow_reduction_block,
        separable_conv: exit_flow_separable_conv
    };
    if (getRemainingWeights().length !== 0) {
        throw new Error("weights remaing after extract: " + getRemainingWeights().length);
    }
    return {
        paramMappings: paramMappings,
        params: { entry_flow: entry_flow, middle_flow: middle_flow, exit_flow: exit_flow }
    };
}
//# sourceMappingURL=extractParams.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/xception/extractParamsFromWeigthMap.js



function extractParamsFromWeigthMap_loadParamsFactory(weightMap, paramMappings) {
    var extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
    var extractConvParams = loadConvParamsFactory(extractWeightEntry);
    var extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);
    function extractReductionBlockParams(mappedPrefix) {
        var separable_conv0 = extractSeparableConvParams(mappedPrefix + "/separable_conv0");
        var separable_conv1 = extractSeparableConvParams(mappedPrefix + "/separable_conv1");
        var expansion_conv = extractConvParams(mappedPrefix + "/expansion_conv");
        return { separable_conv0: separable_conv0, separable_conv1: separable_conv1, expansion_conv: expansion_conv };
    }
    function extractMainBlockParams(mappedPrefix) {
        var separable_conv0 = extractSeparableConvParams(mappedPrefix + "/separable_conv0");
        var separable_conv1 = extractSeparableConvParams(mappedPrefix + "/separable_conv1");
        var separable_conv2 = extractSeparableConvParams(mappedPrefix + "/separable_conv2");
        return { separable_conv0: separable_conv0, separable_conv1: separable_conv1, separable_conv2: separable_conv2 };
    }
    return {
        extractConvParams: extractConvParams,
        extractSeparableConvParams: extractSeparableConvParams,
        extractReductionBlockParams: extractReductionBlockParams,
        extractMainBlockParams: extractMainBlockParams
    };
}
function xception_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap, numMainBlocks) {
    var paramMappings = [];
    var _a = extractParamsFromWeigthMap_loadParamsFactory(weightMap, paramMappings), extractConvParams = _a.extractConvParams, extractSeparableConvParams = _a.extractSeparableConvParams, extractReductionBlockParams = _a.extractReductionBlockParams, extractMainBlockParams = _a.extractMainBlockParams;
    var entry_flow_conv_in = extractConvParams('entry_flow/conv_in');
    var entry_flow_reduction_block_0 = extractReductionBlockParams('entry_flow/reduction_block_0');
    var entry_flow_reduction_block_1 = extractReductionBlockParams('entry_flow/reduction_block_1');
    var entry_flow = {
        conv_in: entry_flow_conv_in,
        reduction_block_0: entry_flow_reduction_block_0,
        reduction_block_1: entry_flow_reduction_block_1
    };
    var middle_flow = {};
    range(numMainBlocks, 0, 1).forEach(function (idx) {
        middle_flow["main_block_" + idx] = extractMainBlockParams("middle_flow/main_block_" + idx);
    });
    var exit_flow_reduction_block = extractReductionBlockParams('exit_flow/reduction_block');
    var exit_flow_separable_conv = extractSeparableConvParams('exit_flow/separable_conv');
    var exit_flow = {
        reduction_block: exit_flow_reduction_block,
        separable_conv: exit_flow_separable_conv
    };
    disposeUnusedWeightTensors(weightMap, paramMappings);
    return { params: { entry_flow: entry_flow, middle_flow: middle_flow, exit_flow: exit_flow }, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParamsFromWeigthMap.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/xception/TinyXception.js









function conv(x, params, stride) {
    return rc(qc(x, params.filters, stride, 'same'), params.bias);
}
function reductionBlock(x, params, isActivateInput) {
    if (isActivateInput === void 0) { isActivateInput = true; }
    var out = isActivateInput ? Bl(x) : x;
    out = depthwiseSeparableConv(out, params.separable_conv0, [1, 1]);
    out = depthwiseSeparableConv(Bl(out), params.separable_conv1, [1, 1]);
    out = hl(out, [3, 3], [2, 2], 'same');
    out = rc(out, conv(x, params.expansion_conv, [2, 2]));
    return out;
}
function mainBlock(x, params) {
    var out = depthwiseSeparableConv(Bl(x), params.separable_conv0, [1, 1]);
    out = depthwiseSeparableConv(Bl(out), params.separable_conv1, [1, 1]);
    out = depthwiseSeparableConv(Bl(out), params.separable_conv2, [1, 1]);
    out = rc(out, x);
    return out;
}
var TinyXception = /** @class */ (function (_super) {
    __extends(TinyXception, _super);
    function TinyXception(numMainBlocks) {
        var _this = _super.call(this, 'TinyXception') || this;
        _this._numMainBlocks = numMainBlocks;
        return _this;
    }
    TinyXception.prototype.forwardInput = function (input) {
        var _this = this;
        var params = this.params;
        if (!params) {
            throw new Error('TinyXception - load model before inference');
        }
        return Ze(function () {
            var batchTensor = input.toBatchTensor(112, true);
            var meanRgb = [122.782, 117.001, 104.298];
            var normalized = normalize(batchTensor, meanRgb).div(On(256));
            var out = Bl(conv(normalized, params.entry_flow.conv_in, [2, 2]));
            out = reductionBlock(out, params.entry_flow.reduction_block_0, false);
            out = reductionBlock(out, params.entry_flow.reduction_block_1);
            range(_this._numMainBlocks, 0, 1).forEach(function (idx) {
                out = mainBlock(out, params.middle_flow["main_block_" + idx]);
            });
            out = reductionBlock(out, params.exit_flow.reduction_block);
            out = Bl(depthwiseSeparableConv(out, params.exit_flow.separable_conv, [1, 1]));
            return out;
        });
    };
    TinyXception.prototype.forward = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
                }
            });
        });
    };
    TinyXception.prototype.getDefaultModelName = function () {
        return 'tiny_xception_model';
    };
    TinyXception.prototype.extractParamsFromWeigthMap = function (weightMap) {
        return xception_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap, this._numMainBlocks);
    };
    TinyXception.prototype.extractParams = function (weights) {
        return xception_extractParams_extractParams(weights, this._numMainBlocks);
    };
    return TinyXception;
}(NeuralNetwork));

//# sourceMappingURL=TinyXception.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ageGenderNet/extractParams.js

function ageGenderNet_extractParams_extractParams(weights) {
    var paramMappings = [];
    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);
    var age = extractFCParams(512, 1, 'fc/age');
    var gender = extractFCParams(512, 2, 'fc/gender');
    if (getRemainingWeights().length !== 0) {
        throw new Error("weights remaing after extract: " + getRemainingWeights().length);
    }
    return {
        paramMappings: paramMappings,
        params: { fc: { age: age, gender: gender } }
    };
}
//# sourceMappingURL=extractParams.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ageGenderNet/extractParamsFromWeigthMap.js

function ageGenderNet_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap) {
    var paramMappings = [];
    var extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
    function extractFcParams(prefix) {
        var weights = extractWeightEntry(prefix + "/weights", 2);
        var bias = extractWeightEntry(prefix + "/bias", 1);
        return { weights: weights, bias: bias };
    }
    var params = {
        fc: {
            age: extractFcParams('fc/age'),
            gender: extractFcParams('fc/gender')
        }
    };
    disposeUnusedWeightTensors(weightMap, paramMappings);
    return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParamsFromWeigthMap.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ageGenderNet/types.js
var types_Gender;
(function (Gender) {
    Gender["FEMALE"] = "female";
    Gender["MALE"] = "male";
})(types_Gender || (types_Gender = {}));
//# sourceMappingURL=types.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ageGenderNet/AgeGenderNet.js










var AgeGenderNet = /** @class */ (function (_super) {
    __extends(AgeGenderNet, _super);
    function AgeGenderNet(faceFeatureExtractor) {
        if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new TinyXception(2); }
        var _this = _super.call(this, 'AgeGenderNet') || this;
        _this._faceFeatureExtractor = faceFeatureExtractor;
        return _this;
    }
    Object.defineProperty(AgeGenderNet.prototype, "faceFeatureExtractor", {
        get: function () {
            return this._faceFeatureExtractor;
        },
        enumerable: true,
        configurable: true
    });
    AgeGenderNet.prototype.runNet = function (input) {
        var _this = this;
        var params = this.params;
        if (!params) {
            throw new Error(this._name + " - load model before inference");
        }
        return Ze(function () {
            var bottleneckFeatures = input instanceof NetInput
                ? _this.faceFeatureExtractor.forwardInput(input)
                : input;
            var pooled = fl(bottleneckFeatures, [7, 7], [2, 2], 'valid').as2D(bottleneckFeatures.shape[0], -1);
            var age = fullyConnectedLayer(pooled, params.fc.age).as1D();
            var gender = fullyConnectedLayer(pooled, params.fc.gender);
            return { age: age, gender: gender };
        });
    };
    AgeGenderNet.prototype.forwardInput = function (input) {
        var _this = this;
        return Ze(function () {
            var _a = _this.runNet(input), age = _a.age, gender = _a.gender;
            return { age: age, gender: go(gender) };
        });
    };
    AgeGenderNet.prototype.forward = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
                }
            });
        });
    };
    AgeGenderNet.prototype.predictAgeAndGender = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var netInput, out, ages, genders, ageAndGenderTensors, predictionsByBatch;
            var _this = this;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, toNetInput(input)];
                    case 1:
                        netInput = _a.sent();
                        return [4 /*yield*/, this.forwardInput(netInput)];
                    case 2:
                        out = _a.sent();
                        ages = Ur(out.age);
                        genders = Ur(out.gender);
                        ageAndGenderTensors = ages.map(function (ageTensor, i) { return ({
                            ageTensor: ageTensor,
                            genderTensor: genders[i]
                        }); });
                        return [4 /*yield*/, Promise.all(ageAndGenderTensors.map(function (_a) {
                                var ageTensor = _a.ageTensor, genderTensor = _a.genderTensor;
                                return tslib_es6_awaiter(_this, void 0, void 0, function () {
                                    var age, probMale, isMale, gender, genderProbability;
                                    return tslib_es6_generator(this, function (_b) {
                                        switch (_b.label) {
                                            case 0: return [4 /*yield*/, ageTensor.data()];
                                            case 1:
                                                age = (_b.sent())[0];
                                                return [4 /*yield*/, genderTensor.data()];
                                            case 2:
                                                probMale = (_b.sent())[0];
                                                isMale = probMale > 0.5;
                                                gender = isMale ? types_Gender.MALE : types_Gender.FEMALE;
                                                genderProbability = isMale ? probMale : (1 - probMale);
                                                ageTensor.dispose();
                                                genderTensor.dispose();
                                                return [2 /*return*/, { age: age, gender: gender, genderProbability: genderProbability }];
                                        }
                                    });
                                });
                            }))];
                    case 3:
                        predictionsByBatch = _a.sent();
                        out.age.dispose();
                        out.gender.dispose();
                        return [2 /*return*/, netInput.isBatchInput
                                ? predictionsByBatch
                                : predictionsByBatch[0]];
                }
            });
        });
    };
    AgeGenderNet.prototype.getDefaultModelName = function () {
        return 'age_gender_model';
    };
    AgeGenderNet.prototype.dispose = function (throwOnRedispose) {
        if (throwOnRedispose === void 0) { throwOnRedispose = true; }
        this.faceFeatureExtractor.dispose(throwOnRedispose);
        _super.prototype.dispose.call(this, throwOnRedispose);
    };
    AgeGenderNet.prototype.loadClassifierParams = function (weights) {
        var _a = this.extractClassifierParams(weights), params = _a.params, paramMappings = _a.paramMappings;
        this._params = params;
        this._paramMappings = paramMappings;
    };
    AgeGenderNet.prototype.extractClassifierParams = function (weights) {
        return ageGenderNet_extractParams_extractParams(weights);
    };
    AgeGenderNet.prototype.extractParamsFromWeigthMap = function (weightMap) {
        var _a = seperateWeightMaps(weightMap), featureExtractorMap = _a.featureExtractorMap, classifierMap = _a.classifierMap;
        this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);
        return ageGenderNet_extractParamsFromWeigthMap_extractParamsFromWeigthMap(classifierMap);
    };
    AgeGenderNet.prototype.extractParams = function (weights) {
        var classifierWeightSize = (512 * 1 + 1) + (512 * 2 + 2);
        var featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);
        var classifierWeights = weights.slice(weights.length - classifierWeightSize);
        this.faceFeatureExtractor.extractWeights(featureExtractorWeights);
        return this.extractClassifierParams(classifierWeights);
    };
    return AgeGenderNet;
}(NeuralNetwork));

//# sourceMappingURL=AgeGenderNet.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ageGenderNet/index.js


//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceLandmarkNet/FaceLandmark68NetBase.js







var FaceLandmark68NetBase = /** @class */ (function (_super) {
    __extends(FaceLandmark68NetBase, _super);
    function FaceLandmark68NetBase() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    FaceLandmark68NetBase.prototype.postProcess = function (output, inputSize, originalDimensions) {
        var inputDimensions = originalDimensions.map(function (_a) {
            var width = _a.width, height = _a.height;
            var scale = inputSize / Math.max(height, width);
            return {
                width: width * scale,
                height: height * scale
            };
        });
        var batchSize = inputDimensions.length;
        return Ze(function () {
            var createInterleavedTensor = function (fillX, fillY) {
                return Pr([
                    Hn([68], fillX),
                    Hn([68], fillY)
                ], 1).as2D(1, 136).as1D();
            };
            var getPadding = function (batchIdx, cond) {
                var _a = inputDimensions[batchIdx], width = _a.width, height = _a.height;
                return cond(width, height) ? Math.abs(width - height) / 2 : 0;
            };
            var getPaddingX = function (batchIdx) { return getPadding(batchIdx, function (w, h) { return w < h; }); };
            var getPaddingY = function (batchIdx) { return getPadding(batchIdx, function (w, h) { return h < w; }); };
            var landmarkTensors = output
                .mul(Hn([batchSize, 136], inputSize))
                .sub(Pr(Array.from(Array(batchSize), function (_, batchIdx) {
                return createInterleavedTensor(getPaddingX(batchIdx), getPaddingY(batchIdx));
            })))
                .div(Pr(Array.from(Array(batchSize), function (_, batchIdx) {
                return createInterleavedTensor(inputDimensions[batchIdx].width, inputDimensions[batchIdx].height);
            })));
            return landmarkTensors;
        });
    };
    FaceLandmark68NetBase.prototype.forwardInput = function (input) {
        var _this = this;
        return Ze(function () {
            var out = _this.runNet(input);
            return _this.postProcess(out, input.inputSize, input.inputDimensions.map(function (_a) {
                var height = _a[0], width = _a[1];
                return ({ height: height, width: width });
            }));
        });
    };
    FaceLandmark68NetBase.prototype.forward = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
                }
            });
        });
    };
    FaceLandmark68NetBase.prototype.detectLandmarks = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var netInput, landmarkTensors, landmarksForBatch;
            var _this = this;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, toNetInput(input)];
                    case 1:
                        netInput = _a.sent();
                        landmarkTensors = Ze(function () { return Ur(_this.forwardInput(netInput)); });
                        return [4 /*yield*/, Promise.all(landmarkTensors.map(function (landmarkTensor, batchIdx) { return tslib_es6_awaiter(_this, void 0, void 0, function () {
                                var landmarksArray, _a, _b, xCoords, yCoords;
                                return tslib_es6_generator(this, function (_c) {
                                    switch (_c.label) {
                                        case 0:
                                            _b = (_a = Array).from;
                                            return [4 /*yield*/, landmarkTensor.data()];
                                        case 1:
                                            landmarksArray = _b.apply(_a, [_c.sent()]);
                                            xCoords = landmarksArray.filter(function (_, i) { return isEven(i); });
                                            yCoords = landmarksArray.filter(function (_, i) { return !isEven(i); });
                                            return [2 /*return*/, new FaceLandmarks68(Array(68).fill(0).map(function (_, i) { return new Point(xCoords[i], yCoords[i]); }), {
                                                    height: netInput.getInputHeight(batchIdx),
                                                    width: netInput.getInputWidth(batchIdx),
                                                })];
                                    }
                                });
                            }); }))];
                    case 2:
                        landmarksForBatch = _a.sent();
                        landmarkTensors.forEach(function (t) { return t.dispose(); });
                        return [2 /*return*/, netInput.isBatchInput
                                ? landmarksForBatch
                                : landmarksForBatch[0]];
                }
            });
        });
    };
    FaceLandmark68NetBase.prototype.getClassifierChannelsOut = function () {
        return 136;
    };
    return FaceLandmark68NetBase;
}(FaceProcessor));

//# sourceMappingURL=FaceLandmark68NetBase.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceLandmarkNet/FaceLandmark68Net.js



var FaceLandmark68Net = /** @class */ (function (_super) {
    __extends(FaceLandmark68Net, _super);
    function FaceLandmark68Net(faceFeatureExtractor) {
        if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor(); }
        return _super.call(this, 'FaceLandmark68Net', faceFeatureExtractor) || this;
    }
    FaceLandmark68Net.prototype.getDefaultModelName = function () {
        return 'face_landmark_68_model';
    };
    FaceLandmark68Net.prototype.getClassifierChannelsIn = function () {
        return 256;
    };
    return FaceLandmark68Net;
}(FaceLandmark68NetBase));

//# sourceMappingURL=FaceLandmark68Net.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js


function extractParamsFromWeigthMapTiny(weightMap) {
    var paramMappings = [];
    var extractDenseBlock3Params = loadParamsFactory(weightMap, paramMappings).extractDenseBlock3Params;
    var params = {
        dense0: extractDenseBlock3Params('dense0', true),
        dense1: extractDenseBlock3Params('dense1'),
        dense2: extractDenseBlock3Params('dense2')
    };
    disposeUnusedWeightTensors(weightMap, paramMappings);
    return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParamsFromWeigthMapTiny.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceFeatureExtractor/extractParamsTiny.js


function extractParamsTiny(weights) {
    var paramMappings = [];
    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var extractDenseBlock3Params = extractorsFactory(extractWeights, paramMappings).extractDenseBlock3Params;
    var dense0 = extractDenseBlock3Params(3, 32, 'dense0', true);
    var dense1 = extractDenseBlock3Params(32, 64, 'dense1');
    var dense2 = extractDenseBlock3Params(64, 128, 'dense2');
    if (getRemainingWeights().length !== 0) {
        throw new Error("weights remaing after extract: " + getRemainingWeights().length);
    }
    return {
        paramMappings: paramMappings,
        params: { dense0: dense0, dense1: dense1, dense2: dense2 }
    };
}
//# sourceMappingURL=extractParamsTiny.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.js








var TinyFaceFeatureExtractor = /** @class */ (function (_super) {
    __extends(TinyFaceFeatureExtractor, _super);
    function TinyFaceFeatureExtractor() {
        return _super.call(this, 'TinyFaceFeatureExtractor') || this;
    }
    TinyFaceFeatureExtractor.prototype.forwardInput = function (input) {
        var params = this.params;
        if (!params) {
            throw new Error('TinyFaceFeatureExtractor - load model before inference');
        }
        return Ze(function () {
            var batchTensor = input.toBatchTensor(112, true);
            var meanRgb = [122.782, 117.001, 104.298];
            var normalized = normalize(batchTensor, meanRgb).div(On(255));
            var out = denseBlock3(normalized, params.dense0, true);
            out = denseBlock3(out, params.dense1);
            out = denseBlock3(out, params.dense2);
            out = fl(out, [14, 14], [2, 2], 'valid');
            return out;
        });
    };
    TinyFaceFeatureExtractor.prototype.forward = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
                }
            });
        });
    };
    TinyFaceFeatureExtractor.prototype.getDefaultModelName = function () {
        return 'face_feature_extractor_tiny_model';
    };
    TinyFaceFeatureExtractor.prototype.extractParamsFromWeigthMap = function (weightMap) {
        return extractParamsFromWeigthMapTiny(weightMap);
    };
    TinyFaceFeatureExtractor.prototype.extractParams = function (weights) {
        return extractParamsTiny(weights);
    };
    return TinyFaceFeatureExtractor;
}(NeuralNetwork));

//# sourceMappingURL=TinyFaceFeatureExtractor.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.js



var FaceLandmark68TinyNet = /** @class */ (function (_super) {
    __extends(FaceLandmark68TinyNet, _super);
    function FaceLandmark68TinyNet(faceFeatureExtractor) {
        if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new TinyFaceFeatureExtractor(); }
        return _super.call(this, 'FaceLandmark68TinyNet', faceFeatureExtractor) || this;
    }
    FaceLandmark68TinyNet.prototype.getDefaultModelName = function () {
        return 'face_landmark_68_tiny_model';
    };
    FaceLandmark68TinyNet.prototype.getClassifierChannelsIn = function () {
        return 128;
    };
    return FaceLandmark68TinyNet;
}(FaceLandmark68NetBase));

//# sourceMappingURL=FaceLandmark68TinyNet.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceLandmarkNet/index.js




var FaceLandmarkNet = /** @class */ (function (_super) {
    __extends(FaceLandmarkNet, _super);
    function FaceLandmarkNet() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    return FaceLandmarkNet;
}(FaceLandmark68Net));

//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceRecognitionNet/scaleLayer.js

function scale(x, params) {
    return rc(gc(x, params.weights), params.biases);
}
//# sourceMappingURL=scaleLayer.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceRecognitionNet/convLayer.js


function convLayer_convLayer(x, params, strides, withRelu, padding) {
    if (padding === void 0) { padding = 'same'; }
    var _a = params.conv, filters = _a.filters, bias = _a.bias;
    var out = qc(x, filters, strides, padding);
    out = rc(out, bias);
    out = scale(out, params.scale);
    return withRelu ? Bl(out) : out;
}
function convLayer_conv(x, params) {
    return convLayer_convLayer(x, params, [1, 1], true);
}
function convNoRelu(x, params) {
    return convLayer_convLayer(x, params, [1, 1], false);
}
function convDown(x, params) {
    return convLayer_convLayer(x, params, [2, 2], true, 'valid');
}
//# sourceMappingURL=convLayer.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceRecognitionNet/extractParams.js



function faceRecognitionNet_extractParams_extractorsFactory(extractWeights, paramMappings) {
    function extractFilterValues(numFilterValues, numFilters, filterSize) {
        var weights = extractWeights(numFilterValues);
        var depth = weights.length / (numFilters * filterSize * filterSize);
        if (isFloat(depth)) {
            throw new Error("depth has to be an integer: " + depth + ", weights.length: " + weights.length + ", numFilters: " + numFilters + ", filterSize: " + filterSize);
        }
        return Ze(function () { return Wl(Ln(weights, [numFilters, depth, filterSize, filterSize]), [2, 3, 1, 0]); });
    }
    function extractConvParams(numFilterValues, numFilters, filterSize, mappedPrefix) {
        var filters = extractFilterValues(numFilterValues, numFilters, filterSize);
        var bias = Mn(extractWeights(numFilters));
        paramMappings.push({ paramPath: mappedPrefix + "/filters" }, { paramPath: mappedPrefix + "/bias" });
        return { filters: filters, bias: bias };
    }
    function extractScaleLayerParams(numWeights, mappedPrefix) {
        var weights = Mn(extractWeights(numWeights));
        var biases = Mn(extractWeights(numWeights));
        paramMappings.push({ paramPath: mappedPrefix + "/weights" }, { paramPath: mappedPrefix + "/biases" });
        return {
            weights: weights,
            biases: biases
        };
    }
    function extractConvLayerParams(numFilterValues, numFilters, filterSize, mappedPrefix) {
        var conv = extractConvParams(numFilterValues, numFilters, filterSize, mappedPrefix + "/conv");
        var scale = extractScaleLayerParams(numFilters, mappedPrefix + "/scale");
        return { conv: conv, scale: scale };
    }
    function extractResidualLayerParams(numFilterValues, numFilters, filterSize, mappedPrefix, isDown) {
        if (isDown === void 0) { isDown = false; }
        var conv1 = extractConvLayerParams((isDown ? 0.5 : 1) * numFilterValues, numFilters, filterSize, mappedPrefix + "/conv1");
        var conv2 = extractConvLayerParams(numFilterValues, numFilters, filterSize, mappedPrefix + "/conv2");
        return { conv1: conv1, conv2: conv2 };
    }
    return {
        extractConvLayerParams: extractConvLayerParams,
        extractResidualLayerParams: extractResidualLayerParams
    };
}
function faceRecognitionNet_extractParams_extractParams(weights) {
    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var paramMappings = [];
    var _b = faceRecognitionNet_extractParams_extractorsFactory(extractWeights, paramMappings), extractConvLayerParams = _b.extractConvLayerParams, extractResidualLayerParams = _b.extractResidualLayerParams;
    var conv32_down = extractConvLayerParams(4704, 32, 7, 'conv32_down');
    var conv32_1 = extractResidualLayerParams(9216, 32, 3, 'conv32_1');
    var conv32_2 = extractResidualLayerParams(9216, 32, 3, 'conv32_2');
    var conv32_3 = extractResidualLayerParams(9216, 32, 3, 'conv32_3');
    var conv64_down = extractResidualLayerParams(36864, 64, 3, 'conv64_down', true);
    var conv64_1 = extractResidualLayerParams(36864, 64, 3, 'conv64_1');
    var conv64_2 = extractResidualLayerParams(36864, 64, 3, 'conv64_2');
    var conv64_3 = extractResidualLayerParams(36864, 64, 3, 'conv64_3');
    var conv128_down = extractResidualLayerParams(147456, 128, 3, 'conv128_down', true);
    var conv128_1 = extractResidualLayerParams(147456, 128, 3, 'conv128_1');
    var conv128_2 = extractResidualLayerParams(147456, 128, 3, 'conv128_2');
    var conv256_down = extractResidualLayerParams(589824, 256, 3, 'conv256_down', true);
    var conv256_1 = extractResidualLayerParams(589824, 256, 3, 'conv256_1');
    var conv256_2 = extractResidualLayerParams(589824, 256, 3, 'conv256_2');
    var conv256_down_out = extractResidualLayerParams(589824, 256, 3, 'conv256_down_out');
    var fc = Ze(function () { return Wl(Bn(extractWeights(256 * 128), [128, 256]), [1, 0]); });
    paramMappings.push({ paramPath: "fc" });
    if (getRemainingWeights().length !== 0) {
        throw new Error("weights remaing after extract: " + getRemainingWeights().length);
    }
    var params = {
        conv32_down: conv32_down,
        conv32_1: conv32_1,
        conv32_2: conv32_2,
        conv32_3: conv32_3,
        conv64_down: conv64_down,
        conv64_1: conv64_1,
        conv64_2: conv64_2,
        conv64_3: conv64_3,
        conv128_down: conv128_down,
        conv128_1: conv128_1,
        conv128_2: conv128_2,
        conv256_down: conv256_down,
        conv256_1: conv256_1,
        conv256_2: conv256_2,
        conv256_down_out: conv256_down_out,
        fc: fc
    };
    return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParams.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.js


function extractParamsFromWeigthMap_extractorsFactory(weightMap, paramMappings) {
    var extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
    function extractScaleLayerParams(prefix) {
        var weights = extractWeightEntry(prefix + "/scale/weights", 1);
        var biases = extractWeightEntry(prefix + "/scale/biases", 1);
        return { weights: weights, biases: biases };
    }
    function extractConvLayerParams(prefix) {
        var filters = extractWeightEntry(prefix + "/conv/filters", 4);
        var bias = extractWeightEntry(prefix + "/conv/bias", 1);
        var scale = extractScaleLayerParams(prefix);
        return { conv: { filters: filters, bias: bias }, scale: scale };
    }
    function extractResidualLayerParams(prefix) {
        return {
            conv1: extractConvLayerParams(prefix + "/conv1"),
            conv2: extractConvLayerParams(prefix + "/conv2")
        };
    }
    return {
        extractConvLayerParams: extractConvLayerParams,
        extractResidualLayerParams: extractResidualLayerParams
    };
}
function faceRecognitionNet_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap) {
    var paramMappings = [];
    var _a = extractParamsFromWeigthMap_extractorsFactory(weightMap, paramMappings), extractConvLayerParams = _a.extractConvLayerParams, extractResidualLayerParams = _a.extractResidualLayerParams;
    var conv32_down = extractConvLayerParams('conv32_down');
    var conv32_1 = extractResidualLayerParams('conv32_1');
    var conv32_2 = extractResidualLayerParams('conv32_2');
    var conv32_3 = extractResidualLayerParams('conv32_3');
    var conv64_down = extractResidualLayerParams('conv64_down');
    var conv64_1 = extractResidualLayerParams('conv64_1');
    var conv64_2 = extractResidualLayerParams('conv64_2');
    var conv64_3 = extractResidualLayerParams('conv64_3');
    var conv128_down = extractResidualLayerParams('conv128_down');
    var conv128_1 = extractResidualLayerParams('conv128_1');
    var conv128_2 = extractResidualLayerParams('conv128_2');
    var conv256_down = extractResidualLayerParams('conv256_down');
    var conv256_1 = extractResidualLayerParams('conv256_1');
    var conv256_2 = extractResidualLayerParams('conv256_2');
    var conv256_down_out = extractResidualLayerParams('conv256_down_out');
    var fc = weightMap['fc'];
    paramMappings.push({ originalPath: 'fc', paramPath: 'fc' });
    if (!isTensor2D(fc)) {
        throw new Error("expected weightMap[fc] to be a Tensor2D, instead have " + fc);
    }
    var params = {
        conv32_down: conv32_down,
        conv32_1: conv32_1,
        conv32_2: conv32_2,
        conv32_3: conv32_3,
        conv64_down: conv64_down,
        conv64_1: conv64_1,
        conv64_2: conv64_2,
        conv64_3: conv64_3,
        conv128_down: conv128_down,
        conv128_1: conv128_1,
        conv128_2: conv128_2,
        conv256_down: conv256_down,
        conv256_1: conv256_1,
        conv256_2: conv256_2,
        conv256_down_out: conv256_down_out,
        fc: fc
    };
    disposeUnusedWeightTensors(weightMap, paramMappings);
    return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParamsFromWeigthMap.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceRecognitionNet/residualLayer.js



function residual(x, params) {
    var out = convLayer_conv(x, params.conv1);
    out = convNoRelu(out, params.conv2);
    out = rc(out, x);
    out = Bl(out);
    return out;
}
function residualDown(x, params) {
    var out = convDown(x, params.conv1);
    out = convNoRelu(out, params.conv2);
    var pooled = fl(x, 2, 2, 'valid');
    var zeros = Gn(pooled.shape);
    var isPad = pooled.shape[3] !== out.shape[3];
    var isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];
    if (isAdjustShape) {
        var padShapeX = __spreadArrays(out.shape);
        padShapeX[1] = 1;
        var zerosW = Gn(padShapeX);
        out = Yn([out, zerosW], 1);
        var padShapeY = __spreadArrays(out.shape);
        padShapeY[2] = 1;
        var zerosH = Gn(padShapeY);
        out = Yn([out, zerosH], 2);
    }
    pooled = isPad ? Yn([pooled, zeros], 3) : pooled;
    out = rc(pooled, out);
    out = Bl(out);
    return out;
}
//# sourceMappingURL=residualLayer.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceRecognitionNet/FaceRecognitionNet.js









var FaceRecognitionNet_FaceRecognitionNet = /** @class */ (function (_super) {
    __extends(FaceRecognitionNet, _super);
    function FaceRecognitionNet() {
        return _super.call(this, 'FaceRecognitionNet') || this;
    }
    FaceRecognitionNet.prototype.forwardInput = function (input) {
        var params = this.params;
        if (!params) {
            throw new Error('FaceRecognitionNet - load model before inference');
        }
        return Ze(function () {
            var batchTensor = input.toBatchTensor(150, true).toFloat();
            var meanRgb = [122.782, 117.001, 104.298];
            var normalized = normalize(batchTensor, meanRgb).div(On(256));
            var out = convDown(normalized, params.conv32_down);
            out = hl(out, 3, 2, 'valid');
            out = residual(out, params.conv32_1);
            out = residual(out, params.conv32_2);
            out = residual(out, params.conv32_3);
            out = residualDown(out, params.conv64_down);
            out = residual(out, params.conv64_1);
            out = residual(out, params.conv64_2);
            out = residual(out, params.conv64_3);
            out = residualDown(out, params.conv128_down);
            out = residual(out, params.conv128_1);
            out = residual(out, params.conv128_2);
            out = residualDown(out, params.conv256_down);
            out = residual(out, params.conv256_1);
            out = residual(out, params.conv256_2);
            out = residualDown(out, params.conv256_down_out);
            var globalAvg = out.mean([1, 2]);
            var fullyConnected = el(globalAvg, params.fc);
            return fullyConnected;
        });
    };
    FaceRecognitionNet.prototype.forward = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
                }
            });
        });
    };
    FaceRecognitionNet.prototype.computeFaceDescriptor = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var netInput, faceDescriptorTensors, faceDescriptorsForBatch;
            var _this = this;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, toNetInput(input)];
                    case 1:
                        netInput = _a.sent();
                        faceDescriptorTensors = Ze(function () { return Ur(_this.forwardInput(netInput)); });
                        return [4 /*yield*/, Promise.all(faceDescriptorTensors.map(function (t) { return t.data(); }))];
                    case 2:
                        faceDescriptorsForBatch = _a.sent();
                        faceDescriptorTensors.forEach(function (t) { return t.dispose(); });
                        return [2 /*return*/, netInput.isBatchInput
                                ? faceDescriptorsForBatch
                                : faceDescriptorsForBatch[0]];
                }
            });
        });
    };
    FaceRecognitionNet.prototype.getDefaultModelName = function () {
        return 'face_recognition_model';
    };
    FaceRecognitionNet.prototype.extractParamsFromWeigthMap = function (weightMap) {
        return faceRecognitionNet_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap);
    };
    FaceRecognitionNet.prototype.extractParams = function (weights) {
        return faceRecognitionNet_extractParams_extractParams(weights);
    };
    return FaceRecognitionNet;
}(NeuralNetwork));

//# sourceMappingURL=FaceRecognitionNet.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/faceRecognitionNet/index.js


function createFaceRecognitionNet(weights) {
    var net = new FaceRecognitionNet();
    net.extractWeights(weights);
    return net;
}
//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/factories/WithGender.js


function isWithGender(obj) {
    return (obj['gender'] === Gender.MALE || obj['gender'] === Gender.FEMALE)
        && isValidProbablitiy(obj['genderProbability']);
}
function extendWithGender(sourceObj, gender, genderProbability) {
    var extension = { gender: gender, genderProbability: genderProbability };
    return Object.assign({}, sourceObj, extension);
}
//# sourceMappingURL=WithGender.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/factories/index.js






//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/MtcnnOptions.js
var MtcnnOptions_MtcnnOptions = /** @class */ (function () {
    function MtcnnOptions(_a) {
        var _b = _a === void 0 ? {} : _a, minFaceSize = _b.minFaceSize, scaleFactor = _b.scaleFactor, maxNumScales = _b.maxNumScales, scoreThresholds = _b.scoreThresholds, scaleSteps = _b.scaleSteps;
        this._name = 'MtcnnOptions';
        this._minFaceSize = minFaceSize || 20;
        this._scaleFactor = scaleFactor || 0.709;
        this._maxNumScales = maxNumScales || 10;
        this._scoreThresholds = scoreThresholds || [0.6, 0.7, 0.7];
        this._scaleSteps = scaleSteps;
        if (typeof this._minFaceSize !== 'number' || this._minFaceSize < 0) {
            throw new Error(this._name + " - expected minFaceSize to be a number > 0");
        }
        if (typeof this._scaleFactor !== 'number' || this._scaleFactor <= 0 || this._scaleFactor >= 1) {
            throw new Error(this._name + " - expected scaleFactor to be a number between 0 and 1");
        }
        if (typeof this._maxNumScales !== 'number' || this._maxNumScales < 0) {
            throw new Error(this._name + " - expected maxNumScales to be a number > 0");
        }
        if (!Array.isArray(this._scoreThresholds)
            || this._scoreThresholds.length !== 3
            || this._scoreThresholds.some(function (th) { return typeof th !== 'number'; })) {
            throw new Error(this._name + " - expected scoreThresholds to be an array of numbers of length 3");
        }
        if (this._scaleSteps
            && (!Array.isArray(this._scaleSteps) || this._scaleSteps.some(function (th) { return typeof th !== 'number'; }))) {
            throw new Error(this._name + " - expected scaleSteps to be an array of numbers");
        }
    }
    Object.defineProperty(MtcnnOptions.prototype, "minFaceSize", {
        get: function () { return this._minFaceSize; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(MtcnnOptions.prototype, "scaleFactor", {
        get: function () { return this._scaleFactor; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(MtcnnOptions.prototype, "maxNumScales", {
        get: function () { return this._maxNumScales; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(MtcnnOptions.prototype, "scoreThresholds", {
        get: function () { return this._scoreThresholds; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(MtcnnOptions.prototype, "scaleSteps", {
        get: function () { return this._scaleSteps; },
        enumerable: true,
        configurable: true
    });
    return MtcnnOptions;
}());

//# sourceMappingURL=MtcnnOptions.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/extractParams.js


function ssdMobilenetv1_extractParams_extractorsFactory(extractWeights, paramMappings) {
    function extractDepthwiseConvParams(numChannels, mappedPrefix) {
        var filters = Ln(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);
        var batch_norm_scale = Mn(extractWeights(numChannels));
        var batch_norm_offset = Mn(extractWeights(numChannels));
        var batch_norm_mean = Mn(extractWeights(numChannels));
        var batch_norm_variance = Mn(extractWeights(numChannels));
        paramMappings.push({ paramPath: mappedPrefix + "/filters" }, { paramPath: mappedPrefix + "/batch_norm_scale" }, { paramPath: mappedPrefix + "/batch_norm_offset" }, { paramPath: mappedPrefix + "/batch_norm_mean" }, { paramPath: mappedPrefix + "/batch_norm_variance" });
        return {
            filters: filters,
            batch_norm_scale: batch_norm_scale,
            batch_norm_offset: batch_norm_offset,
            batch_norm_mean: batch_norm_mean,
            batch_norm_variance: batch_norm_variance
        };
    }
    function extractConvParams(channelsIn, channelsOut, filterSize, mappedPrefix, isPointwiseConv) {
        var filters = Ln(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
        var bias = Mn(extractWeights(channelsOut));
        paramMappings.push({ paramPath: mappedPrefix + "/filters" }, { paramPath: mappedPrefix + "/" + (isPointwiseConv ? 'batch_norm_offset' : 'bias') });
        return { filters: filters, bias: bias };
    }
    function extractPointwiseConvParams(channelsIn, channelsOut, filterSize, mappedPrefix) {
        var _a = extractConvParams(channelsIn, channelsOut, filterSize, mappedPrefix, true), filters = _a.filters, bias = _a.bias;
        return {
            filters: filters,
            batch_norm_offset: bias
        };
    }
    function extractConvPairParams(channelsIn, channelsOut, mappedPrefix) {
        var depthwise_conv = extractDepthwiseConvParams(channelsIn, mappedPrefix + "/depthwise_conv");
        var pointwise_conv = extractPointwiseConvParams(channelsIn, channelsOut, 1, mappedPrefix + "/pointwise_conv");
        return { depthwise_conv: depthwise_conv, pointwise_conv: pointwise_conv };
    }
    function extractMobilenetV1Params() {
        var conv_0 = extractPointwiseConvParams(3, 32, 3, 'mobilenetv1/conv_0');
        var conv_1 = extractConvPairParams(32, 64, 'mobilenetv1/conv_1');
        var conv_2 = extractConvPairParams(64, 128, 'mobilenetv1/conv_2');
        var conv_3 = extractConvPairParams(128, 128, 'mobilenetv1/conv_3');
        var conv_4 = extractConvPairParams(128, 256, 'mobilenetv1/conv_4');
        var conv_5 = extractConvPairParams(256, 256, 'mobilenetv1/conv_5');
        var conv_6 = extractConvPairParams(256, 512, 'mobilenetv1/conv_6');
        var conv_7 = extractConvPairParams(512, 512, 'mobilenetv1/conv_7');
        var conv_8 = extractConvPairParams(512, 512, 'mobilenetv1/conv_8');
        var conv_9 = extractConvPairParams(512, 512, 'mobilenetv1/conv_9');
        var conv_10 = extractConvPairParams(512, 512, 'mobilenetv1/conv_10');
        var conv_11 = extractConvPairParams(512, 512, 'mobilenetv1/conv_11');
        var conv_12 = extractConvPairParams(512, 1024, 'mobilenetv1/conv_12');
        var conv_13 = extractConvPairParams(1024, 1024, 'mobilenetv1/conv_13');
        return {
            conv_0: conv_0,
            conv_1: conv_1,
            conv_2: conv_2,
            conv_3: conv_3,
            conv_4: conv_4,
            conv_5: conv_5,
            conv_6: conv_6,
            conv_7: conv_7,
            conv_8: conv_8,
            conv_9: conv_9,
            conv_10: conv_10,
            conv_11: conv_11,
            conv_12: conv_12,
            conv_13: conv_13
        };
    }
    function extractPredictionLayerParams() {
        var conv_0 = extractPointwiseConvParams(1024, 256, 1, 'prediction_layer/conv_0');
        var conv_1 = extractPointwiseConvParams(256, 512, 3, 'prediction_layer/conv_1');
        var conv_2 = extractPointwiseConvParams(512, 128, 1, 'prediction_layer/conv_2');
        var conv_3 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_3');
        var conv_4 = extractPointwiseConvParams(256, 128, 1, 'prediction_layer/conv_4');
        var conv_5 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_5');
        var conv_6 = extractPointwiseConvParams(256, 64, 1, 'prediction_layer/conv_6');
        var conv_7 = extractPointwiseConvParams(64, 128, 3, 'prediction_layer/conv_7');
        var box_encoding_0_predictor = extractConvParams(512, 12, 1, 'prediction_layer/box_predictor_0/box_encoding_predictor');
        var class_predictor_0 = extractConvParams(512, 9, 1, 'prediction_layer/box_predictor_0/class_predictor');
        var box_encoding_1_predictor = extractConvParams(1024, 24, 1, 'prediction_layer/box_predictor_1/box_encoding_predictor');
        var class_predictor_1 = extractConvParams(1024, 18, 1, 'prediction_layer/box_predictor_1/class_predictor');
        var box_encoding_2_predictor = extractConvParams(512, 24, 1, 'prediction_layer/box_predictor_2/box_encoding_predictor');
        var class_predictor_2 = extractConvParams(512, 18, 1, 'prediction_layer/box_predictor_2/class_predictor');
        var box_encoding_3_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_3/box_encoding_predictor');
        var class_predictor_3 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_3/class_predictor');
        var box_encoding_4_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_4/box_encoding_predictor');
        var class_predictor_4 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_4/class_predictor');
        var box_encoding_5_predictor = extractConvParams(128, 24, 1, 'prediction_layer/box_predictor_5/box_encoding_predictor');
        var class_predictor_5 = extractConvParams(128, 18, 1, 'prediction_layer/box_predictor_5/class_predictor');
        var box_predictor_0 = {
            box_encoding_predictor: box_encoding_0_predictor,
            class_predictor: class_predictor_0
        };
        var box_predictor_1 = {
            box_encoding_predictor: box_encoding_1_predictor,
            class_predictor: class_predictor_1
        };
        var box_predictor_2 = {
            box_encoding_predictor: box_encoding_2_predictor,
            class_predictor: class_predictor_2
        };
        var box_predictor_3 = {
            box_encoding_predictor: box_encoding_3_predictor,
            class_predictor: class_predictor_3
        };
        var box_predictor_4 = {
            box_encoding_predictor: box_encoding_4_predictor,
            class_predictor: class_predictor_4
        };
        var box_predictor_5 = {
            box_encoding_predictor: box_encoding_5_predictor,
            class_predictor: class_predictor_5
        };
        return {
            conv_0: conv_0,
            conv_1: conv_1,
            conv_2: conv_2,
            conv_3: conv_3,
            conv_4: conv_4,
            conv_5: conv_5,
            conv_6: conv_6,
            conv_7: conv_7,
            box_predictor_0: box_predictor_0,
            box_predictor_1: box_predictor_1,
            box_predictor_2: box_predictor_2,
            box_predictor_3: box_predictor_3,
            box_predictor_4: box_predictor_4,
            box_predictor_5: box_predictor_5
        };
    }
    return {
        extractMobilenetV1Params: extractMobilenetV1Params,
        extractPredictionLayerParams: extractPredictionLayerParams
    };
}
function ssdMobilenetv1_extractParams_extractParams(weights) {
    var paramMappings = [];
    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var _b = ssdMobilenetv1_extractParams_extractorsFactory(extractWeights, paramMappings), extractMobilenetV1Params = _b.extractMobilenetV1Params, extractPredictionLayerParams = _b.extractPredictionLayerParams;
    var mobilenetv1 = extractMobilenetV1Params();
    var prediction_layer = extractPredictionLayerParams();
    var extra_dim = Pn(extractWeights(5118 * 4), [1, 5118, 4]);
    var output_layer = {
        extra_dim: extra_dim
    };
    paramMappings.push({ paramPath: 'output_layer/extra_dim' });
    if (getRemainingWeights().length !== 0) {
        throw new Error("weights remaing after extract: " + getRemainingWeights().length);
    }
    return {
        params: {
            mobilenetv1: mobilenetv1,
            prediction_layer: prediction_layer,
            output_layer: output_layer
        },
        paramMappings: paramMappings
    };
}
//# sourceMappingURL=extractParams.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/extractParamsFromWeigthMap.js


function ssdMobilenetv1_extractParamsFromWeigthMap_extractorsFactory(weightMap, paramMappings) {
    var extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
    function extractPointwiseConvParams(prefix, idx, mappedPrefix) {
        var filters = extractWeightEntry(prefix + "/Conv2d_" + idx + "_pointwise/weights", 4, mappedPrefix + "/filters");
        var batch_norm_offset = extractWeightEntry(prefix + "/Conv2d_" + idx + "_pointwise/convolution_bn_offset", 1, mappedPrefix + "/batch_norm_offset");
        return { filters: filters, batch_norm_offset: batch_norm_offset };
    }
    function extractConvPairParams(idx) {
        var mappedPrefix = "mobilenetv1/conv_" + idx;
        var prefixDepthwiseConv = "MobilenetV1/Conv2d_" + idx + "_depthwise";
        var mappedPrefixDepthwiseConv = mappedPrefix + "/depthwise_conv";
        var mappedPrefixPointwiseConv = mappedPrefix + "/pointwise_conv";
        var filters = extractWeightEntry(prefixDepthwiseConv + "/depthwise_weights", 4, mappedPrefixDepthwiseConv + "/filters");
        var batch_norm_scale = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/gamma", 1, mappedPrefixDepthwiseConv + "/batch_norm_scale");
        var batch_norm_offset = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/beta", 1, mappedPrefixDepthwiseConv + "/batch_norm_offset");
        var batch_norm_mean = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/moving_mean", 1, mappedPrefixDepthwiseConv + "/batch_norm_mean");
        var batch_norm_variance = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/moving_variance", 1, mappedPrefixDepthwiseConv + "/batch_norm_variance");
        return {
            depthwise_conv: {
                filters: filters,
                batch_norm_scale: batch_norm_scale,
                batch_norm_offset: batch_norm_offset,
                batch_norm_mean: batch_norm_mean,
                batch_norm_variance: batch_norm_variance
            },
            pointwise_conv: extractPointwiseConvParams('MobilenetV1', idx, mappedPrefixPointwiseConv)
        };
    }
    function extractMobilenetV1Params() {
        return {
            conv_0: extractPointwiseConvParams('MobilenetV1', 0, 'mobilenetv1/conv_0'),
            conv_1: extractConvPairParams(1),
            conv_2: extractConvPairParams(2),
            conv_3: extractConvPairParams(3),
            conv_4: extractConvPairParams(4),
            conv_5: extractConvPairParams(5),
            conv_6: extractConvPairParams(6),
            conv_7: extractConvPairParams(7),
            conv_8: extractConvPairParams(8),
            conv_9: extractConvPairParams(9),
            conv_10: extractConvPairParams(10),
            conv_11: extractConvPairParams(11),
            conv_12: extractConvPairParams(12),
            conv_13: extractConvPairParams(13)
        };
    }
    function extractConvParams(prefix, mappedPrefix) {
        var filters = extractWeightEntry(prefix + "/weights", 4, mappedPrefix + "/filters");
        var bias = extractWeightEntry(prefix + "/biases", 1, mappedPrefix + "/bias");
        return { filters: filters, bias: bias };
    }
    function extractBoxPredictorParams(idx) {
        var box_encoding_predictor = extractConvParams("Prediction/BoxPredictor_" + idx + "/BoxEncodingPredictor", "prediction_layer/box_predictor_" + idx + "/box_encoding_predictor");
        var class_predictor = extractConvParams("Prediction/BoxPredictor_" + idx + "/ClassPredictor", "prediction_layer/box_predictor_" + idx + "/class_predictor");
        return { box_encoding_predictor: box_encoding_predictor, class_predictor: class_predictor };
    }
    function extractPredictionLayerParams() {
        return {
            conv_0: extractPointwiseConvParams('Prediction', 0, 'prediction_layer/conv_0'),
            conv_1: extractPointwiseConvParams('Prediction', 1, 'prediction_layer/conv_1'),
            conv_2: extractPointwiseConvParams('Prediction', 2, 'prediction_layer/conv_2'),
            conv_3: extractPointwiseConvParams('Prediction', 3, 'prediction_layer/conv_3'),
            conv_4: extractPointwiseConvParams('Prediction', 4, 'prediction_layer/conv_4'),
            conv_5: extractPointwiseConvParams('Prediction', 5, 'prediction_layer/conv_5'),
            conv_6: extractPointwiseConvParams('Prediction', 6, 'prediction_layer/conv_6'),
            conv_7: extractPointwiseConvParams('Prediction', 7, 'prediction_layer/conv_7'),
            box_predictor_0: extractBoxPredictorParams(0),
            box_predictor_1: extractBoxPredictorParams(1),
            box_predictor_2: extractBoxPredictorParams(2),
            box_predictor_3: extractBoxPredictorParams(3),
            box_predictor_4: extractBoxPredictorParams(4),
            box_predictor_5: extractBoxPredictorParams(5)
        };
    }
    return {
        extractMobilenetV1Params: extractMobilenetV1Params,
        extractPredictionLayerParams: extractPredictionLayerParams
    };
}
function ssdMobilenetv1_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap) {
    var paramMappings = [];
    var _a = ssdMobilenetv1_extractParamsFromWeigthMap_extractorsFactory(weightMap, paramMappings), extractMobilenetV1Params = _a.extractMobilenetV1Params, extractPredictionLayerParams = _a.extractPredictionLayerParams;
    var extra_dim = weightMap['Output/extra_dim'];
    paramMappings.push({ originalPath: 'Output/extra_dim', paramPath: 'output_layer/extra_dim' });
    if (!isTensor3D(extra_dim)) {
        throw new Error("expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have " + extra_dim);
    }
    var params = {
        mobilenetv1: extractMobilenetV1Params(),
        prediction_layer: extractPredictionLayerParams(),
        output_layer: {
            extra_dim: extra_dim
        }
    };
    disposeUnusedWeightTensors(weightMap, paramMappings);
    return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParamsFromWeigthMap.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/pointwiseConvLayer.js

function pointwiseConvLayer(x, params, strides) {
    return Ze(function () {
        var out = qc(x, params.filters, strides, 'same');
        out = rc(out, params.batch_norm_offset);
        return hu(out, 0, 6);
    });
}
//# sourceMappingURL=pointwiseConvLayer.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/mobileNetV1.js


var epsilon = 0.0010000000474974513;
function depthwiseConvLayer(x, params, strides) {
    return Ze(function () {
        var out = Yc(x, params.filters, strides, 'same');
        out = ju(out, params.batch_norm_mean, params.batch_norm_variance, params.batch_norm_offset, params.batch_norm_scale, epsilon);
        return hu(out, 0, 6);
    });
}
function getStridesForLayerIdx(layerIdx) {
    return [2, 4, 6, 12].some(function (idx) { return idx === layerIdx; }) ? [2, 2] : [1, 1];
}
function mobileNetV1(x, params) {
    return Ze(function () {
        var conv11 = null;
        var out = pointwiseConvLayer(x, params.conv_0, [2, 2]);
        var convPairParams = [
            params.conv_1,
            params.conv_2,
            params.conv_3,
            params.conv_4,
            params.conv_5,
            params.conv_6,
            params.conv_7,
            params.conv_8,
            params.conv_9,
            params.conv_10,
            params.conv_11,
            params.conv_12,
            params.conv_13
        ];
        convPairParams.forEach(function (param, i) {
            var layerIdx = i + 1;
            var depthwiseConvStrides = getStridesForLayerIdx(layerIdx);
            out = depthwiseConvLayer(out, param.depthwise_conv, depthwiseConvStrides);
            out = pointwiseConvLayer(out, param.pointwise_conv, [1, 1]);
            if (layerIdx === 11) {
                conv11 = out;
            }
        });
        if (conv11 === null) {
            throw new Error('mobileNetV1 - output of conv layer 11 is null');
        }
        return {
            out: out,
            conv11: conv11
        };
    });
}
//# sourceMappingURL=mobileNetV1.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/nonMaxSuppression.js
function nonMaxSuppression_nonMaxSuppression(boxes, scores, maxOutputSize, iouThreshold, scoreThreshold) {
    var numBoxes = boxes.shape[0];
    var outputSize = Math.min(maxOutputSize, numBoxes);
    var candidates = scores
        .map(function (score, boxIndex) { return ({ score: score, boxIndex: boxIndex }); })
        .filter(function (c) { return c.score > scoreThreshold; })
        .sort(function (c1, c2) { return c2.score - c1.score; });
    var suppressFunc = function (x) { return x <= iouThreshold ? 1 : 0; };
    var selected = [];
    candidates.forEach(function (c) {
        if (selected.length >= outputSize) {
            return;
        }
        var originalScore = c.score;
        for (var j = selected.length - 1; j >= 0; --j) {
            var iou = IOU(boxes, c.boxIndex, selected[j]);
            if (iou === 0.0) {
                continue;
            }
            c.score *= suppressFunc(iou);
            if (c.score <= scoreThreshold) {
                break;
            }
        }
        if (originalScore === c.score) {
            selected.push(c.boxIndex);
        }
    });
    return selected;
}
function IOU(boxes, i, j) {
    var boxesData = boxes.arraySync();
    var yminI = Math.min(boxesData[i][0], boxesData[i][2]);
    var xminI = Math.min(boxesData[i][1], boxesData[i][3]);
    var ymaxI = Math.max(boxesData[i][0], boxesData[i][2]);
    var xmaxI = Math.max(boxesData[i][1], boxesData[i][3]);
    var yminJ = Math.min(boxesData[j][0], boxesData[j][2]);
    var xminJ = Math.min(boxesData[j][1], boxesData[j][3]);
    var ymaxJ = Math.max(boxesData[j][0], boxesData[j][2]);
    var xmaxJ = Math.max(boxesData[j][1], boxesData[j][3]);
    var areaI = (ymaxI - yminI) * (xmaxI - xminI);
    var areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);
    if (areaI <= 0 || areaJ <= 0) {
        return 0.0;
    }
    var intersectionYmin = Math.max(yminI, yminJ);
    var intersectionXmin = Math.max(xminI, xminJ);
    var intersectionYmax = Math.min(ymaxI, ymaxJ);
    var intersectionXmax = Math.min(xmaxI, xmaxJ);
    var intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) *
        Math.max(intersectionXmax - intersectionXmin, 0.0);
    return intersectionArea / (areaI + areaJ - intersectionArea);
}
//# sourceMappingURL=nonMaxSuppression.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/outputLayer.js

function getCenterCoordinatesAndSizesLayer(x) {
    var vec = Ur(Wl(x, [1, 0]));
    var sizes = [
        Cc(vec[2], vec[0]),
        Cc(vec[3], vec[1])
    ];
    var centers = [
        rc(vec[0], sc(sizes[0], On(2))),
        rc(vec[1], sc(sizes[1], On(2)))
    ];
    return {
        sizes: sizes,
        centers: centers
    };
}
function decodeBoxesLayer(x0, x1) {
    var _a = getCenterCoordinatesAndSizesLayer(x0), sizes = _a.sizes, centers = _a.centers;
    var vec = Ur(Wl(x1, [1, 0]));
    var div0_out = sc(gc(vu(sc(vec[2], On(5))), sizes[0]), On(2));
    var add0_out = rc(gc(sc(vec[0], On(10)), sizes[0]), centers[0]);
    var div1_out = sc(gc(vu(sc(vec[3], On(5))), sizes[1]), On(2));
    var add1_out = rc(gc(sc(vec[1], On(10)), sizes[1]), centers[1]);
    return Wl(Pr([
        Cc(add0_out, div0_out),
        Cc(add1_out, div1_out),
        rc(add0_out, div0_out),
        rc(add1_out, div1_out)
    ]), [1, 0]);
}
function outputLayer(boxPredictions, classPredictions, params) {
    return Ze(function () {
        var batchSize = boxPredictions.shape[0];
        var boxes = decodeBoxesLayer(Or(Lr(params.extra_dim, [batchSize, 1, 1]), [-1, 4]), Or(boxPredictions, [-1, 4]));
        boxes = Or(boxes, [batchSize, (boxes.shape[0] / batchSize), 4]);
        var scoresAndClasses = Iu(ml(classPredictions, [0, 0, 1], [-1, -1, -1]));
        var scores = ml(scoresAndClasses, [0, 0, 0], [-1, -1, 1]);
        scores = Or(scores, [batchSize, scores.shape[1]]);
        var boxesByBatch = Ur(boxes);
        var scoresByBatch = Ur(scores);
        return {
            boxes: boxesByBatch,
            scores: scoresByBatch
        };
    });
}
//# sourceMappingURL=outputLayer.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/boxPredictionLayer.js


function boxPredictionLayer(x, params) {
    return Ze(function () {
        var batchSize = x.shape[0];
        var boxPredictionEncoding = Or(convLayer(x, params.box_encoding_predictor), [batchSize, -1, 1, 4]);
        var classPrediction = Or(convLayer(x, params.class_predictor), [batchSize, -1, 3]);
        return {
            boxPredictionEncoding: boxPredictionEncoding,
            classPrediction: classPrediction
        };
    });
}
//# sourceMappingURL=boxPredictionLayer.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/predictionLayer.js



function predictionLayer(x, conv11, params) {
    return Ze(function () {
        var conv0 = pointwiseConvLayer(x, params.conv_0, [1, 1]);
        var conv1 = pointwiseConvLayer(conv0, params.conv_1, [2, 2]);
        var conv2 = pointwiseConvLayer(conv1, params.conv_2, [1, 1]);
        var conv3 = pointwiseConvLayer(conv2, params.conv_3, [2, 2]);
        var conv4 = pointwiseConvLayer(conv3, params.conv_4, [1, 1]);
        var conv5 = pointwiseConvLayer(conv4, params.conv_5, [2, 2]);
        var conv6 = pointwiseConvLayer(conv5, params.conv_6, [1, 1]);
        var conv7 = pointwiseConvLayer(conv6, params.conv_7, [2, 2]);
        var boxPrediction0 = boxPredictionLayer(conv11, params.box_predictor_0);
        var boxPrediction1 = boxPredictionLayer(x, params.box_predictor_1);
        var boxPrediction2 = boxPredictionLayer(conv1, params.box_predictor_2);
        var boxPrediction3 = boxPredictionLayer(conv3, params.box_predictor_3);
        var boxPrediction4 = boxPredictionLayer(conv5, params.box_predictor_4);
        var boxPrediction5 = boxPredictionLayer(conv7, params.box_predictor_5);
        var boxPredictions = Yn([
            boxPrediction0.boxPredictionEncoding,
            boxPrediction1.boxPredictionEncoding,
            boxPrediction2.boxPredictionEncoding,
            boxPrediction3.boxPredictionEncoding,
            boxPrediction4.boxPredictionEncoding,
            boxPrediction5.boxPredictionEncoding
        ], 1);
        var classPredictions = Yn([
            boxPrediction0.classPrediction,
            boxPrediction1.classPrediction,
            boxPrediction2.classPrediction,
            boxPrediction3.classPrediction,
            boxPrediction4.classPrediction,
            boxPrediction5.classPrediction
        ], 1);
        return {
            boxPredictions: boxPredictions,
            classPredictions: classPredictions
        };
    });
}
//# sourceMappingURL=predictionLayer.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/SsdMobilenetv1Options.js
var SsdMobilenetv1Options_SsdMobilenetv1Options = /** @class */ (function () {
    function SsdMobilenetv1Options(_a) {
        var _b = _a === void 0 ? {} : _a, minConfidence = _b.minConfidence, maxResults = _b.maxResults;
        this._name = 'SsdMobilenetv1Options';
        this._minConfidence = minConfidence || 0.5;
        this._maxResults = maxResults || 100;
        if (typeof this._minConfidence !== 'number' || this._minConfidence <= 0 || this._minConfidence >= 1) {
            throw new Error(this._name + " - expected minConfidence to be a number between 0 and 1");
        }
        if (typeof this._maxResults !== 'number') {
            throw new Error(this._name + " - expected maxResults to be a number");
        }
    }
    Object.defineProperty(SsdMobilenetv1Options.prototype, "minConfidence", {
        get: function () { return this._minConfidence; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(SsdMobilenetv1Options.prototype, "maxResults", {
        get: function () { return this._maxResults; },
        enumerable: true,
        configurable: true
    });
    return SsdMobilenetv1Options;
}());

//# sourceMappingURL=SsdMobilenetv1Options.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/SsdMobilenetv1.js













var SsdMobilenetv1_SsdMobilenetv1 = /** @class */ (function (_super) {
    __extends(SsdMobilenetv1, _super);
    function SsdMobilenetv1() {
        return _super.call(this, 'SsdMobilenetv1') || this;
    }
    SsdMobilenetv1.prototype.forwardInput = function (input) {
        var params = this.params;
        if (!params) {
            throw new Error('SsdMobilenetv1 - load model before inference');
        }
        return Ze(function () {
            var batchTensor = input.toBatchTensor(512, false).toFloat();
            var x = Cc(gc(batchTensor, On(0.007843137718737125)), On(1));
            var features = mobileNetV1(x, params.mobilenetv1);
            var _a = predictionLayer(features.out, features.conv11, params.prediction_layer), boxPredictions = _a.boxPredictions, classPredictions = _a.classPredictions;
            return outputLayer(boxPredictions, classPredictions, params.output_layer);
        });
    };
    SsdMobilenetv1.prototype.forward = function (input) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
                }
            });
        });
    };
    SsdMobilenetv1.prototype.locateFaces = function (input, options) {
        if (options === void 0) { options = {}; }
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a, maxResults, minConfidence, netInput, _b, _boxes, _scores, boxes, scores, i, scoresData, _c, _d, iouThreshold, indices, reshapedDims, inputSize, padX, padY, boxesData, results;
            return tslib_es6_generator(this, function (_e) {
                switch (_e.label) {
                    case 0:
                        _a = new SsdMobilenetv1Options_SsdMobilenetv1Options(options), maxResults = _a.maxResults, minConfidence = _a.minConfidence;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1:
                        netInput = _e.sent();
                        _b = this.forwardInput(netInput), _boxes = _b.boxes, _scores = _b.scores;
                        boxes = _boxes[0];
                        scores = _scores[0];
                        for (i = 1; i < _boxes.length; i++) {
                            _boxes[i].dispose();
                            _scores[i].dispose();
                        }
                        _d = (_c = Array).from;
                        return [4 /*yield*/, scores.data()];
                    case 2:
                        scoresData = _d.apply(_c, [_e.sent()]);
                        iouThreshold = 0.5;
                        indices = nonMaxSuppression_nonMaxSuppression(boxes, scoresData, maxResults, iouThreshold, minConfidence);
                        reshapedDims = netInput.getReshapedInputDimensions(0);
                        inputSize = netInput.inputSize;
                        padX = inputSize / reshapedDims.width;
                        padY = inputSize / reshapedDims.height;
                        boxesData = boxes.arraySync();
                        results = indices
                            .map(function (idx) {
                            var _a = [
                                Math.max(0, boxesData[idx][0]),
                                Math.min(1.0, boxesData[idx][2])
                            ].map(function (val) { return val * padY; }), top = _a[0], bottom = _a[1];
                            var _b = [
                                Math.max(0, boxesData[idx][1]),
                                Math.min(1.0, boxesData[idx][3])
                            ].map(function (val) { return val * padX; }), left = _b[0], right = _b[1];
                            return new FaceDetection(scoresData[idx], new Rect(left, top, right - left, bottom - top), {
                                height: netInput.getInputHeight(0),
                                width: netInput.getInputWidth(0)
                            });
                        });
                        boxes.dispose();
                        scores.dispose();
                        return [2 /*return*/, results];
                }
            });
        });
    };
    SsdMobilenetv1.prototype.getDefaultModelName = function () {
        return 'ssd_mobilenetv1_model';
    };
    SsdMobilenetv1.prototype.extractParamsFromWeigthMap = function (weightMap) {
        return ssdMobilenetv1_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap);
    };
    SsdMobilenetv1.prototype.extractParams = function (weights) {
        return ssdMobilenetv1_extractParams_extractParams(weights);
    };
    return SsdMobilenetv1;
}(NeuralNetwork));

//# sourceMappingURL=SsdMobilenetv1.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/ssdMobilenetv1/index.js




function createSsdMobilenetv1(weights) {
    var net = new SsdMobilenetv1();
    net.extractWeights(weights);
    return net;
}
function createFaceDetectionNet(weights) {
    return createSsdMobilenetv1(weights);
}
// alias for backward compatibily
var FaceDetectionNet = /** @class */ (function (_super) {
    __extends(FaceDetectionNet, _super);
    function FaceDetectionNet() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    return FaceDetectionNet;
}(SsdMobilenetv1_SsdMobilenetv1));

//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/const.js

var IOU_THRESHOLD = 0.4;
var BOX_ANCHORS = [
    new Point(0.738768, 0.874946),
    new Point(2.42204, 2.65704),
    new Point(4.30971, 7.04493),
    new Point(10.246, 4.59428),
    new Point(12.6868, 11.8741)
];
var BOX_ANCHORS_SEPARABLE = [
    new Point(1.603231, 2.094468),
    new Point(6.041143, 7.080126),
    new Point(2.882459, 3.518061),
    new Point(4.266906, 5.178857),
    new Point(9.041765, 10.66308)
];
var MEAN_RGB_SEPARABLE = [117.001, 114.697, 97.404];
var DEFAULT_MODEL_NAME = 'tiny_yolov2_model';
var DEFAULT_MODEL_NAME_SEPARABLE_CONV = 'tiny_yolov2_separable_conv_model';
//# sourceMappingURL=const.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/config.js
var isNumber = function (arg) { return typeof arg === 'number'; };
function validateConfig(config) {
    if (!config) {
        throw new Error("invalid config: " + config);
    }
    if (typeof config.withSeparableConvs !== 'boolean') {
        throw new Error("config.withSeparableConvs has to be a boolean, have: " + config.withSeparableConvs);
    }
    if (!isNumber(config.iouThreshold) || config.iouThreshold < 0 || config.iouThreshold > 1.0) {
        throw new Error("config.iouThreshold has to be a number between [0, 1], have: " + config.iouThreshold);
    }
    if (!Array.isArray(config.classes)
        || !config.classes.length
        || !config.classes.every(function (c) { return typeof c === 'string'; })) {
        throw new Error("config.classes has to be an array class names: string[], have: " + JSON.stringify(config.classes));
    }
    if (!Array.isArray(config.anchors)
        || !config.anchors.length
        || !config.anchors.map(function (a) { return a || {}; }).every(function (a) { return isNumber(a.x) && isNumber(a.y); })) {
        throw new Error("config.anchors has to be an array of { x: number, y: number }, have: " + JSON.stringify(config.anchors));
    }
    if (config.meanRgb && (!Array.isArray(config.meanRgb)
        || config.meanRgb.length !== 3
        || !config.meanRgb.every(isNumber))) {
        throw new Error("config.meanRgb has to be an array of shape [number, number, number], have: " + JSON.stringify(config.meanRgb));
    }
}
//# sourceMappingURL=config.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/leaky.js

function leaky(x) {
    return Ze(function () {
        var min = gc(x, On(0.10000000149011612));
        return rc(Bl(Cc(x, min)), min);
        //return tf.maximum(x, min)
    });
}
//# sourceMappingURL=leaky.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/convWithBatchNorm.js


function convWithBatchNorm(x, params) {
    return Ze(function () {
        var out = Ir(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
        out = qc(out, params.conv.filters, [1, 1], 'valid');
        out = Cc(out, params.bn.sub);
        out = gc(out, params.bn.truediv);
        out = rc(out, params.conv.bias);
        return leaky(out);
    });
}
//# sourceMappingURL=convWithBatchNorm.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/depthwiseSeparableConv.js


function depthwiseSeparableConv_depthwiseSeparableConv(x, params) {
    return Ze(function () {
        var out = Ir(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
        out = Jc(out, params.depthwise_filter, params.pointwise_filter, [1, 1], 'valid');
        out = rc(out, params.bias);
        return leaky(out);
    });
}
//# sourceMappingURL=depthwiseSeparableConv.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/extractParams.js




function tinyYolov2_extractParams_extractorsFactory(extractWeights, paramMappings) {
    var extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
    function extractBatchNormParams(size, mappedPrefix) {
        var sub = Mn(extractWeights(size));
        var truediv = Mn(extractWeights(size));
        paramMappings.push({ paramPath: mappedPrefix + "/sub" }, { paramPath: mappedPrefix + "/truediv" });
        return { sub: sub, truediv: truediv };
    }
    function extractConvWithBatchNormParams(channelsIn, channelsOut, mappedPrefix) {
        var conv = extractConvParams(channelsIn, channelsOut, 3, mappedPrefix + "/conv");
        var bn = extractBatchNormParams(channelsOut, mappedPrefix + "/bn");
        return { conv: conv, bn: bn };
    }
    var extractSeparableConvParams = extractSeparableConvParamsFactory(extractWeights, paramMappings);
    return {
        extractConvParams: extractConvParams,
        extractConvWithBatchNormParams: extractConvWithBatchNormParams,
        extractSeparableConvParams: extractSeparableConvParams
    };
}
function tinyYolov2_extractParams_extractParams(weights, config, boxEncodingSize, filterSizes) {
    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var paramMappings = [];
    var _b = tinyYolov2_extractParams_extractorsFactory(extractWeights, paramMappings), extractConvParams = _b.extractConvParams, extractConvWithBatchNormParams = _b.extractConvWithBatchNormParams, extractSeparableConvParams = _b.extractSeparableConvParams;
    var params;
    if (config.withSeparableConvs) {
        var s0 = filterSizes[0], s1 = filterSizes[1], s2 = filterSizes[2], s3 = filterSizes[3], s4 = filterSizes[4], s5 = filterSizes[5], s6 = filterSizes[6], s7 = filterSizes[7], s8 = filterSizes[8];
        var conv0 = config.isFirstLayerConv2d
            ? extractConvParams(s0, s1, 3, 'conv0')
            : extractSeparableConvParams(s0, s1, 'conv0');
        var conv1 = extractSeparableConvParams(s1, s2, 'conv1');
        var conv2 = extractSeparableConvParams(s2, s3, 'conv2');
        var conv3 = extractSeparableConvParams(s3, s4, 'conv3');
        var conv4 = extractSeparableConvParams(s4, s5, 'conv4');
        var conv5 = extractSeparableConvParams(s5, s6, 'conv5');
        var conv6 = s7 ? extractSeparableConvParams(s6, s7, 'conv6') : undefined;
        var conv7 = s8 ? extractSeparableConvParams(s7, s8, 'conv7') : undefined;
        var conv8 = extractConvParams(s8 || s7 || s6, 5 * boxEncodingSize, 1, 'conv8');
        params = { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3, conv4: conv4, conv5: conv5, conv6: conv6, conv7: conv7, conv8: conv8 };
    }
    else {
        var s0 = filterSizes[0], s1 = filterSizes[1], s2 = filterSizes[2], s3 = filterSizes[3], s4 = filterSizes[4], s5 = filterSizes[5], s6 = filterSizes[6], s7 = filterSizes[7], s8 = filterSizes[8];
        var conv0 = extractConvWithBatchNormParams(s0, s1, 'conv0');
        var conv1 = extractConvWithBatchNormParams(s1, s2, 'conv1');
        var conv2 = extractConvWithBatchNormParams(s2, s3, 'conv2');
        var conv3 = extractConvWithBatchNormParams(s3, s4, 'conv3');
        var conv4 = extractConvWithBatchNormParams(s4, s5, 'conv4');
        var conv5 = extractConvWithBatchNormParams(s5, s6, 'conv5');
        var conv6 = extractConvWithBatchNormParams(s6, s7, 'conv6');
        var conv7 = extractConvWithBatchNormParams(s7, s8, 'conv7');
        var conv8 = extractConvParams(s8, 5 * boxEncodingSize, 1, 'conv8');
        params = { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3, conv4: conv4, conv5: conv5, conv6: conv6, conv7: conv7, conv8: conv8 };
    }
    if (getRemainingWeights().length !== 0) {
        throw new Error("weights remaing after extract: " + getRemainingWeights().length);
    }
    return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParams.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/extractParamsFromWeigthMap.js



function tinyYolov2_extractParamsFromWeigthMap_extractorsFactory(weightMap, paramMappings) {
    var extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
    function extractBatchNormParams(prefix) {
        var sub = extractWeightEntry(prefix + "/sub", 1);
        var truediv = extractWeightEntry(prefix + "/truediv", 1);
        return { sub: sub, truediv: truediv };
    }
    function extractConvParams(prefix) {
        var filters = extractWeightEntry(prefix + "/filters", 4);
        var bias = extractWeightEntry(prefix + "/bias", 1);
        return { filters: filters, bias: bias };
    }
    function extractConvWithBatchNormParams(prefix) {
        var conv = extractConvParams(prefix + "/conv");
        var bn = extractBatchNormParams(prefix + "/bn");
        return { conv: conv, bn: bn };
    }
    var extractSeparableConvParams = loadSeparableConvParamsFactory(extractWeightEntry);
    return {
        extractConvParams: extractConvParams,
        extractConvWithBatchNormParams: extractConvWithBatchNormParams,
        extractSeparableConvParams: extractSeparableConvParams
    };
}
function tinyYolov2_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap, config) {
    var paramMappings = [];
    var _a = tinyYolov2_extractParamsFromWeigthMap_extractorsFactory(weightMap, paramMappings), extractConvParams = _a.extractConvParams, extractConvWithBatchNormParams = _a.extractConvWithBatchNormParams, extractSeparableConvParams = _a.extractSeparableConvParams;
    var params;
    if (config.withSeparableConvs) {
        var numFilters = (config.filterSizes && config.filterSizes.length || 9);
        params = {
            conv0: config.isFirstLayerConv2d ? extractConvParams('conv0') : extractSeparableConvParams('conv0'),
            conv1: extractSeparableConvParams('conv1'),
            conv2: extractSeparableConvParams('conv2'),
            conv3: extractSeparableConvParams('conv3'),
            conv4: extractSeparableConvParams('conv4'),
            conv5: extractSeparableConvParams('conv5'),
            conv6: numFilters > 7 ? extractSeparableConvParams('conv6') : undefined,
            conv7: numFilters > 8 ? extractSeparableConvParams('conv7') : undefined,
            conv8: extractConvParams('conv8')
        };
    }
    else {
        params = {
            conv0: extractConvWithBatchNormParams('conv0'),
            conv1: extractConvWithBatchNormParams('conv1'),
            conv2: extractConvWithBatchNormParams('conv2'),
            conv3: extractConvWithBatchNormParams('conv3'),
            conv4: extractConvWithBatchNormParams('conv4'),
            conv5: extractConvWithBatchNormParams('conv5'),
            conv6: extractConvWithBatchNormParams('conv6'),
            conv7: extractConvWithBatchNormParams('conv7'),
            conv8: extractConvParams('conv8')
        };
    }
    disposeUnusedWeightTensors(weightMap, paramMappings);
    return { params: params, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParamsFromWeigthMap.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/TinyYolov2Options.js
var TinyYolov2SizeType;
(function (TinyYolov2SizeType) {
    TinyYolov2SizeType[TinyYolov2SizeType["XS"] = 224] = "XS";
    TinyYolov2SizeType[TinyYolov2SizeType["SM"] = 320] = "SM";
    TinyYolov2SizeType[TinyYolov2SizeType["MD"] = 416] = "MD";
    TinyYolov2SizeType[TinyYolov2SizeType["LG"] = 608] = "LG";
})(TinyYolov2SizeType || (TinyYolov2SizeType = {}));
var TinyYolov2Options_TinyYolov2Options = /** @class */ (function () {
    function TinyYolov2Options(_a) {
        var _b = _a === void 0 ? {} : _a, inputSize = _b.inputSize, scoreThreshold = _b.scoreThreshold;
        this._name = 'TinyYolov2Options';
        this._inputSize = inputSize || 416;
        this._scoreThreshold = scoreThreshold || 0.5;
        if (typeof this._inputSize !== 'number' || this._inputSize % 32 !== 0) {
            throw new Error(this._name + " - expected inputSize to be a number divisible by 32");
        }
        if (typeof this._scoreThreshold !== 'number' || this._scoreThreshold <= 0 || this._scoreThreshold >= 1) {
            throw new Error(this._name + " - expected scoreThreshold to be a number between 0 and 1");
        }
    }
    Object.defineProperty(TinyYolov2Options.prototype, "inputSize", {
        get: function () { return this._inputSize; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(TinyYolov2Options.prototype, "scoreThreshold", {
        get: function () { return this._scoreThreshold; },
        enumerable: true,
        configurable: true
    });
    return TinyYolov2Options;
}());

//# sourceMappingURL=TinyYolov2Options.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/TinyYolov2Base.js

















var TinyYolov2Base = /** @class */ (function (_super) {
    __extends(TinyYolov2Base, _super);
    function TinyYolov2Base(config) {
        var _this = _super.call(this, 'TinyYolov2') || this;
        validateConfig(config);
        _this._config = config;
        return _this;
    }
    Object.defineProperty(TinyYolov2Base.prototype, "config", {
        get: function () {
            return this._config;
        },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(TinyYolov2Base.prototype, "withClassScores", {
        get: function () {
            return this.config.withClassScores || this.config.classes.length > 1;
        },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(TinyYolov2Base.prototype, "boxEncodingSize", {
        get: function () {
            return 5 + (this.withClassScores ? this.config.classes.length : 0);
        },
        enumerable: true,
        configurable: true
    });
    TinyYolov2Base.prototype.runTinyYolov2 = function (x, params) {
        var out = convWithBatchNorm(x, params.conv0);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = convWithBatchNorm(out, params.conv1);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = convWithBatchNorm(out, params.conv2);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = convWithBatchNorm(out, params.conv3);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = convWithBatchNorm(out, params.conv4);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = convWithBatchNorm(out, params.conv5);
        out = hl(out, [2, 2], [1, 1], 'same');
        out = convWithBatchNorm(out, params.conv6);
        out = convWithBatchNorm(out, params.conv7);
        return convLayer(out, params.conv8, 'valid', false);
    };
    TinyYolov2Base.prototype.runMobilenet = function (x, params) {
        var out = this.config.isFirstLayerConv2d
            ? leaky(convLayer(x, params.conv0, 'valid', false))
            : depthwiseSeparableConv_depthwiseSeparableConv(x, params.conv0);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = depthwiseSeparableConv_depthwiseSeparableConv(out, params.conv1);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = depthwiseSeparableConv_depthwiseSeparableConv(out, params.conv2);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = depthwiseSeparableConv_depthwiseSeparableConv(out, params.conv3);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = depthwiseSeparableConv_depthwiseSeparableConv(out, params.conv4);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = depthwiseSeparableConv_depthwiseSeparableConv(out, params.conv5);
        out = hl(out, [2, 2], [1, 1], 'same');
        out = params.conv6 ? depthwiseSeparableConv_depthwiseSeparableConv(out, params.conv6) : out;
        out = params.conv7 ? depthwiseSeparableConv_depthwiseSeparableConv(out, params.conv7) : out;
        return convLayer(out, params.conv8, 'valid', false);
    };
    TinyYolov2Base.prototype.forwardInput = function (input, inputSize) {
        var _this = this;
        var params = this.params;
        if (!params) {
            throw new Error('TinyYolov2 - load model before inference');
        }
        return Ze(function () {
            var batchTensor = input.toBatchTensor(inputSize, false).toFloat();
            batchTensor = _this.config.meanRgb
                ? normalize(batchTensor, _this.config.meanRgb)
                : batchTensor;
            batchTensor = batchTensor.div(On(256));
            return _this.config.withSeparableConvs
                ? _this.runMobilenet(batchTensor, params)
                : _this.runTinyYolov2(batchTensor, params);
        });
    };
    TinyYolov2Base.prototype.forward = function (input, inputSize) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [4 /*yield*/, _a.apply(this, [_b.sent(), inputSize])];
                    case 2: return [2 /*return*/, _b.sent()];
                }
            });
        });
    };
    TinyYolov2Base.prototype.detect = function (input, forwardParams) {
        if (forwardParams === void 0) { forwardParams = {}; }
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a, inputSize, scoreThreshold, netInput, out, out0, inputDimensions, results, boxes, scores, classScores, classNames, indices, detections;
            var _this = this;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = new TinyYolov2Options_TinyYolov2Options(forwardParams), inputSize = _a.inputSize, scoreThreshold = _a.scoreThreshold;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1:
                        netInput = _b.sent();
                        return [4 /*yield*/, this.forwardInput(netInput, inputSize)];
                    case 2:
                        out = _b.sent();
                        out0 = Ze(function () { return Ur(out)[0].expandDims(); });
                        inputDimensions = {
                            width: netInput.getInputWidth(0),
                            height: netInput.getInputHeight(0)
                        };
                        return [4 /*yield*/, this.extractBoxes(out0, netInput.getReshapedInputDimensions(0), scoreThreshold)];
                    case 3:
                        results = _b.sent();
                        out.dispose();
                        out0.dispose();
                        boxes = results.map(function (res) { return res.box; });
                        scores = results.map(function (res) { return res.score; });
                        classScores = results.map(function (res) { return res.classScore; });
                        classNames = results.map(function (res) { return _this.config.classes[res.label]; });
                        indices = nonMaxSuppression(boxes.map(function (box) { return box.rescale(inputSize); }), scores, this.config.iouThreshold, true);
                        detections = indices.map(function (idx) {
                            return new ObjectDetection(scores[idx], classScores[idx], classNames[idx], boxes[idx], inputDimensions);
                        });
                        return [2 /*return*/, detections];
                }
            });
        });
    };
    TinyYolov2Base.prototype.getDefaultModelName = function () {
        return '';
    };
    TinyYolov2Base.prototype.extractParamsFromWeigthMap = function (weightMap) {
        return tinyYolov2_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap, this.config);
    };
    TinyYolov2Base.prototype.extractParams = function (weights) {
        var filterSizes = this.config.filterSizes || TinyYolov2Base.DEFAULT_FILTER_SIZES;
        var numFilters = filterSizes ? filterSizes.length : undefined;
        if (numFilters !== 7 && numFilters !== 8 && numFilters !== 9) {
            throw new Error("TinyYolov2 - expected 7 | 8 | 9 convolutional filters, but found " + numFilters + " filterSizes in config");
        }
        return tinyYolov2_extractParams_extractParams(weights, this.config, this.boxEncodingSize, filterSizes);
    };
    TinyYolov2Base.prototype.extractBoxes = function (outputTensor, inputBlobDimensions, scoreThreshold) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var width, height, inputSize, correctionFactorX, correctionFactorY, numCells, numBoxes, _a, boxesTensor, scoresTensor, classScoresTensor, results, scoresData, boxesData, row, col, anchor, score, ctX, ctY, width_1, height_1, x, y, pos, _b, classScore, label, _c;
            var _this = this;
            return tslib_es6_generator(this, function (_d) {
                switch (_d.label) {
                    case 0:
                        width = inputBlobDimensions.width, height = inputBlobDimensions.height;
                        inputSize = Math.max(width, height);
                        correctionFactorX = inputSize / width;
                        correctionFactorY = inputSize / height;
                        numCells = outputTensor.shape[1];
                        numBoxes = this.config.anchors.length;
                        _a = Ze(function () {
                            var reshaped = outputTensor.reshape([numCells, numCells, numBoxes, _this.boxEncodingSize]);
                            var boxes = reshaped.slice([0, 0, 0, 0], [numCells, numCells, numBoxes, 4]);
                            var scores = reshaped.slice([0, 0, 0, 4], [numCells, numCells, numBoxes, 1]);
                            var classScores = _this.withClassScores
                                ? go(reshaped.slice([0, 0, 0, 5], [numCells, numCells, numBoxes, _this.config.classes.length]), 3)
                                : On(0);
                            return [boxes, scores, classScores];
                        }), boxesTensor = _a[0], scoresTensor = _a[1], classScoresTensor = _a[2];
                        results = [];
                        return [4 /*yield*/, scoresTensor.array()];
                    case 1:
                        scoresData = _d.sent();
                        return [4 /*yield*/, boxesTensor.array()];
                    case 2:
                        boxesData = _d.sent();
                        row = 0;
                        _d.label = 3;
                    case 3:
                        if (!(row < numCells)) return [3 /*break*/, 12];
                        col = 0;
                        _d.label = 4;
                    case 4:
                        if (!(col < numCells)) return [3 /*break*/, 11];
                        anchor = 0;
                        _d.label = 5;
                    case 5:
                        if (!(anchor < numBoxes)) return [3 /*break*/, 10];
                        score = sigmoid(scoresData[row][col][anchor][0]);
                        if (!(!scoreThreshold || score > scoreThreshold)) return [3 /*break*/, 9];
                        ctX = ((col + sigmoid(boxesData[row][col][anchor][0])) / numCells) * correctionFactorX;
                        ctY = ((row + sigmoid(boxesData[row][col][anchor][1])) / numCells) * correctionFactorY;
                        width_1 = ((Math.exp(boxesData[row][col][anchor][2]) * this.config.anchors[anchor].x) / numCells) * correctionFactorX;
                        height_1 = ((Math.exp(boxesData[row][col][anchor][3]) * this.config.anchors[anchor].y) / numCells) * correctionFactorY;
                        x = (ctX - (width_1 / 2));
                        y = (ctY - (height_1 / 2));
                        pos = { row: row, col: col, anchor: anchor };
                        if (!this.withClassScores) return [3 /*break*/, 7];
                        return [4 /*yield*/, this.extractPredictedClass(classScoresTensor, pos)];
                    case 6:
                        _c = _d.sent();
                        return [3 /*break*/, 8];
                    case 7:
                        _c = { classScore: 1, label: 0 };
                        _d.label = 8;
                    case 8:
                        _b = _c, classScore = _b.classScore, label = _b.label;
                        results.push(_assign({ box: new BoundingBox(x, y, x + width_1, y + height_1), score: score, classScore: score * classScore, label: label }, pos));
                        _d.label = 9;
                    case 9:
                        anchor++;
                        return [3 /*break*/, 5];
                    case 10:
                        col++;
                        return [3 /*break*/, 4];
                    case 11:
                        row++;
                        return [3 /*break*/, 3];
                    case 12:
                        boxesTensor.dispose();
                        scoresTensor.dispose();
                        classScoresTensor.dispose();
                        return [2 /*return*/, results];
                }
            });
        });
    };
    TinyYolov2Base.prototype.extractPredictedClass = function (classesTensor, pos) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var row, col, anchor, classesData;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0:
                        row = pos.row, col = pos.col, anchor = pos.anchor;
                        return [4 /*yield*/, classesTensor.array()];
                    case 1:
                        classesData = _a.sent();
                        return [2 /*return*/, Array(this.config.classes.length).fill(0)
                                .map(function (_, i) { return classesData[row][col][anchor][i]; })
                                .map(function (classScore, label) { return ({
                                classScore: classScore,
                                label: label
                            }); })
                                .reduce(function (max, curr) { return max.classScore > curr.classScore ? max : curr; })];
                }
            });
        });
    };
    TinyYolov2Base.DEFAULT_FILTER_SIZES = [
        3, 16, 32, 64, 128, 256, 512, 1024, 1024
    ];
    return TinyYolov2Base;
}(NeuralNetwork));

//# sourceMappingURL=TinyYolov2Base.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/TinyYolov2.js




var TinyYolov2_TinyYolov2 = /** @class */ (function (_super) {
    __extends(TinyYolov2, _super);
    function TinyYolov2(withSeparableConvs) {
        if (withSeparableConvs === void 0) { withSeparableConvs = true; }
        var _this = this;
        var config = Object.assign({}, {
            withSeparableConvs: withSeparableConvs,
            iouThreshold: IOU_THRESHOLD,
            classes: ['face']
        }, withSeparableConvs
            ? {
                anchors: BOX_ANCHORS_SEPARABLE,
                meanRgb: MEAN_RGB_SEPARABLE
            }
            : {
                anchors: BOX_ANCHORS,
                withClassScores: true
            });
        _this = _super.call(this, config) || this;
        return _this;
    }
    Object.defineProperty(TinyYolov2.prototype, "withSeparableConvs", {
        get: function () {
            return this.config.withSeparableConvs;
        },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(TinyYolov2.prototype, "anchors", {
        get: function () {
            return this.config.anchors;
        },
        enumerable: true,
        configurable: true
    });
    TinyYolov2.prototype.locateFaces = function (input, forwardParams) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var objectDetections;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.detect(input, forwardParams)];
                    case 1:
                        objectDetections = _a.sent();
                        return [2 /*return*/, objectDetections.map(function (det) { return new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }); })];
                }
            });
        });
    };
    TinyYolov2.prototype.getDefaultModelName = function () {
        return this.withSeparableConvs ? DEFAULT_MODEL_NAME_SEPARABLE_CONV : DEFAULT_MODEL_NAME;
    };
    TinyYolov2.prototype.extractParamsFromWeigthMap = function (weightMap) {
        return _super.prototype.extractParamsFromWeigthMap.call(this, weightMap);
    };
    return TinyYolov2;
}(TinyYolov2Base));

//# sourceMappingURL=TinyYolov2.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyYolov2/index.js




function createTinyYolov2(weights, withSeparableConvs) {
    if (withSeparableConvs === void 0) { withSeparableConvs = true; }
    var net = new TinyYolov2(withSeparableConvs);
    net.extractWeights(weights);
    return net;
}
//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyFaceDetector/TinyFaceDetectorOptions.js


var TinyFaceDetectorOptions = /** @class */ (function (_super) {
    __extends(TinyFaceDetectorOptions, _super);
    function TinyFaceDetectorOptions() {
        var _this = _super !== null && _super.apply(this, arguments) || this;
        _this._name = 'TinyFaceDetectorOptions';
        return _this;
    }
    return TinyFaceDetectorOptions;
}(TinyYolov2Options_TinyYolov2Options));

//# sourceMappingURL=TinyFaceDetectorOptions.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/ComposableTask.js

var ComposableTask = /** @class */ (function () {
    function ComposableTask() {
    }
    ComposableTask.prototype.then = function (onfulfilled) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = onfulfilled;
                        return [4 /*yield*/, this.run()];
                    case 1: return [2 /*return*/, _a.apply(void 0, [_b.sent()])];
                }
            });
        });
    };
    ComposableTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            return tslib_es6_generator(this, function (_a) {
                throw new Error('ComposableTask - run is not implemented');
            });
        });
    };
    return ComposableTask;
}());

//# sourceMappingURL=ComposableTask.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/factories/WithFaceDescriptor.js
function extendWithFaceDescriptor(sourceObj, descriptor) {
    var extension = { descriptor: descriptor };
    return Object.assign({}, sourceObj, extension);
}
//# sourceMappingURL=WithFaceDescriptor.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/extractFacesAndComputeResults.js




function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment) {
    if (getRectForAlignment === void 0) { getRectForAlignment = function (_a) {
        var alignedRect = _a.alignedRect;
        return alignedRect;
    }; }
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var faceBoxes, faces, _a, _b, results;
        return tslib_es6_generator(this, function (_c) {
            switch (_c.label) {
                case 0:
                    faceBoxes = parentResults.map(function (parentResult) {
                        return isWithFaceLandmarks(parentResult)
                            ? getRectForAlignment(parentResult)
                            : parentResult.detection;
                    });
                    _a = extractedFaces;
                    if (_a) return [3 /*break*/, 5];
                    if (!(input instanceof wt)) return [3 /*break*/, 2];
                    return [4 /*yield*/, extractFaceTensors(input, faceBoxes)];
                case 1:
                    _b = _c.sent();
                    return [3 /*break*/, 4];
                case 2: return [4 /*yield*/, extractFaces(input, faceBoxes)];
                case 3:
                    _b = _c.sent();
                    _c.label = 4;
                case 4:
                    _a = (_b);
                    _c.label = 5;
                case 5:
                    faces = _a;
                    return [4 /*yield*/, computeResults(faces)];
                case 6:
                    results = _c.sent();
                    faces.forEach(function (f) { return f instanceof wt && f.dispose(); });
                    return [2 /*return*/, results];
            }
        });
    });
}
function extractSingleFaceAndComputeResult(parentResult, input, computeResult, extractedFaces, getRectForAlignment) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var _this = this;
        return tslib_es6_generator(this, function (_a) {
            return [2 /*return*/, extractAllFacesAndComputeResults([parentResult], input, function (faces) { return tslib_es6_awaiter(_this, void 0, void 0, function () { return tslib_es6_generator(this, function (_a) {
                    return [2 /*return*/, computeResult(faces[0])];
                }); }); }, extractedFaces, getRectForAlignment)];
        });
    });
}
//# sourceMappingURL=extractFacesAndComputeResults.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/bgrToRgbTensor.js

function bgrToRgbTensor(tensor) {
    return Ze(function () { return Pr(Ur(tensor, 3).reverse(), 3); });
}
//# sourceMappingURL=bgrToRgbTensor.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/config.js
var CELL_STRIDE = 2;
var CELL_SIZE = 12;
//# sourceMappingURL=config.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/extractParams.js



function mtcnn_extractParams_extractorsFactory(extractWeights, paramMappings) {
    var extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
    var extractFCParams = extractFCParamsFactory(extractWeights, paramMappings);
    function extractPReluParams(size, paramPath) {
        var alpha = Mn(extractWeights(size));
        paramMappings.push({ paramPath: paramPath });
        return alpha;
    }
    function extractSharedParams(numFilters, mappedPrefix, isRnet) {
        if (isRnet === void 0) { isRnet = false; }
        var conv1 = extractConvParams(numFilters[0], numFilters[1], 3, mappedPrefix + "/conv1");
        var prelu1_alpha = extractPReluParams(numFilters[1], mappedPrefix + "/prelu1_alpha");
        var conv2 = extractConvParams(numFilters[1], numFilters[2], 3, mappedPrefix + "/conv2");
        var prelu2_alpha = extractPReluParams(numFilters[2], mappedPrefix + "/prelu2_alpha");
        var conv3 = extractConvParams(numFilters[2], numFilters[3], isRnet ? 2 : 3, mappedPrefix + "/conv3");
        var prelu3_alpha = extractPReluParams(numFilters[3], mappedPrefix + "/prelu3_alpha");
        return { conv1: conv1, prelu1_alpha: prelu1_alpha, conv2: conv2, prelu2_alpha: prelu2_alpha, conv3: conv3, prelu3_alpha: prelu3_alpha };
    }
    function extractPNetParams() {
        var sharedParams = extractSharedParams([3, 10, 16, 32], 'pnet');
        var conv4_1 = extractConvParams(32, 2, 1, 'pnet/conv4_1');
        var conv4_2 = extractConvParams(32, 4, 1, 'pnet/conv4_2');
        return _assign(_assign({}, sharedParams), { conv4_1: conv4_1, conv4_2: conv4_2 });
    }
    function extractRNetParams() {
        var sharedParams = extractSharedParams([3, 28, 48, 64], 'rnet', true);
        var fc1 = extractFCParams(576, 128, 'rnet/fc1');
        var prelu4_alpha = extractPReluParams(128, 'rnet/prelu4_alpha');
        var fc2_1 = extractFCParams(128, 2, 'rnet/fc2_1');
        var fc2_2 = extractFCParams(128, 4, 'rnet/fc2_2');
        return _assign(_assign({}, sharedParams), { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
    }
    function extractONetParams() {
        var sharedParams = extractSharedParams([3, 32, 64, 64], 'onet');
        var conv4 = extractConvParams(64, 128, 2, 'onet/conv4');
        var prelu4_alpha = extractPReluParams(128, 'onet/prelu4_alpha');
        var fc1 = extractFCParams(1152, 256, 'onet/fc1');
        var prelu5_alpha = extractPReluParams(256, 'onet/prelu5_alpha');
        var fc2_1 = extractFCParams(256, 2, 'onet/fc2_1');
        var fc2_2 = extractFCParams(256, 4, 'onet/fc2_2');
        var fc2_3 = extractFCParams(256, 10, 'onet/fc2_3');
        return _assign(_assign({}, sharedParams), { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
    }
    return {
        extractPNetParams: extractPNetParams,
        extractRNetParams: extractRNetParams,
        extractONetParams: extractONetParams
    };
}
function mtcnn_extractParams_extractParams(weights) {
    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var paramMappings = [];
    var _b = mtcnn_extractParams_extractorsFactory(extractWeights, paramMappings), extractPNetParams = _b.extractPNetParams, extractRNetParams = _b.extractRNetParams, extractONetParams = _b.extractONetParams;
    var pnet = extractPNetParams();
    var rnet = extractRNetParams();
    var onet = extractONetParams();
    if (getRemainingWeights().length !== 0) {
        throw new Error("weights remaing after extract: " + getRemainingWeights().length);
    }
    return { params: { pnet: pnet, rnet: rnet, onet: onet }, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParams.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/extractParamsFromWeigthMap.js


function mtcnn_extractParamsFromWeigthMap_extractorsFactory(weightMap, paramMappings) {
    var extractWeightEntry = extractWeightEntryFactory(weightMap, paramMappings);
    function extractConvParams(prefix) {
        var filters = extractWeightEntry(prefix + "/weights", 4, prefix + "/filters");
        var bias = extractWeightEntry(prefix + "/bias", 1);
        return { filters: filters, bias: bias };
    }
    function extractFCParams(prefix) {
        var weights = extractWeightEntry(prefix + "/weights", 2);
        var bias = extractWeightEntry(prefix + "/bias", 1);
        return { weights: weights, bias: bias };
    }
    function extractPReluParams(paramPath) {
        return extractWeightEntry(paramPath, 1);
    }
    function extractSharedParams(prefix) {
        var conv1 = extractConvParams(prefix + "/conv1");
        var prelu1_alpha = extractPReluParams(prefix + "/prelu1_alpha");
        var conv2 = extractConvParams(prefix + "/conv2");
        var prelu2_alpha = extractPReluParams(prefix + "/prelu2_alpha");
        var conv3 = extractConvParams(prefix + "/conv3");
        var prelu3_alpha = extractPReluParams(prefix + "/prelu3_alpha");
        return { conv1: conv1, prelu1_alpha: prelu1_alpha, conv2: conv2, prelu2_alpha: prelu2_alpha, conv3: conv3, prelu3_alpha: prelu3_alpha };
    }
    function extractPNetParams() {
        var sharedParams = extractSharedParams('pnet');
        var conv4_1 = extractConvParams('pnet/conv4_1');
        var conv4_2 = extractConvParams('pnet/conv4_2');
        return _assign(_assign({}, sharedParams), { conv4_1: conv4_1, conv4_2: conv4_2 });
    }
    function extractRNetParams() {
        var sharedParams = extractSharedParams('rnet');
        var fc1 = extractFCParams('rnet/fc1');
        var prelu4_alpha = extractPReluParams('rnet/prelu4_alpha');
        var fc2_1 = extractFCParams('rnet/fc2_1');
        var fc2_2 = extractFCParams('rnet/fc2_2');
        return _assign(_assign({}, sharedParams), { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
    }
    function extractONetParams() {
        var sharedParams = extractSharedParams('onet');
        var conv4 = extractConvParams('onet/conv4');
        var prelu4_alpha = extractPReluParams('onet/prelu4_alpha');
        var fc1 = extractFCParams('onet/fc1');
        var prelu5_alpha = extractPReluParams('onet/prelu5_alpha');
        var fc2_1 = extractFCParams('onet/fc2_1');
        var fc2_2 = extractFCParams('onet/fc2_2');
        var fc2_3 = extractFCParams('onet/fc2_3');
        return _assign(_assign({}, sharedParams), { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
    }
    return {
        extractPNetParams: extractPNetParams,
        extractRNetParams: extractRNetParams,
        extractONetParams: extractONetParams
    };
}
function mtcnn_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap) {
    var paramMappings = [];
    var _a = mtcnn_extractParamsFromWeigthMap_extractorsFactory(weightMap, paramMappings), extractPNetParams = _a.extractPNetParams, extractRNetParams = _a.extractRNetParams, extractONetParams = _a.extractONetParams;
    var pnet = extractPNetParams();
    var rnet = extractRNetParams();
    var onet = extractONetParams();
    disposeUnusedWeightTensors(weightMap, paramMappings);
    return { params: { pnet: pnet, rnet: rnet, onet: onet }, paramMappings: paramMappings };
}
//# sourceMappingURL=extractParamsFromWeigthMap.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/getSizesForScale.js
function getSizesForScale(scale, _a) {
    var height = _a[0], width = _a[1];
    return {
        height: Math.floor(height * scale),
        width: Math.floor(width * scale)
    };
}
//# sourceMappingURL=getSizesForScale.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/pyramidDown.js

function pyramidDown(minFaceSize, scaleFactor, dims) {
    var height = dims[0], width = dims[1];
    var m = CELL_SIZE / minFaceSize;
    var scales = [];
    var minLayer = Math.min(height, width) * m;
    var exp = 0;
    while (minLayer >= 12) {
        scales.push(m * Math.pow(scaleFactor, exp));
        minLayer = minLayer * scaleFactor;
        exp += 1;
    }
    return scales;
}
//# sourceMappingURL=pyramidDown.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/MtcnnBox.js


var MtcnnBox = /** @class */ (function (_super) {
    __extends(MtcnnBox, _super);
    function MtcnnBox(left, top, right, bottom) {
        return _super.call(this, { left: left, top: top, right: right, bottom: bottom }, true) || this;
    }
    return MtcnnBox;
}(Box));

//# sourceMappingURL=MtcnnBox.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/normalize.js

function normalize_normalize(x) {
    return Ze(function () { return gc(Cc(x, On(127.5)), On(0.0078125)); });
}
//# sourceMappingURL=normalize.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/prelu.js

function prelu(x, alpha) {
    return Ze(function () {
        return rc(Bl(x), gc(alpha, wu(Bl(wu(x)))));
    });
}
//# sourceMappingURL=prelu.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/sharedLayers.js



function sharedLayer(x, params, isPnet) {
    if (isPnet === void 0) { isPnet = false; }
    return Ze(function () {
        var out = convLayer(x, params.conv1, 'valid');
        out = prelu(out, params.prelu1_alpha);
        out = hl(out, isPnet ? [2, 2] : [3, 3], [2, 2], 'same');
        out = convLayer(out, params.conv2, 'valid');
        out = prelu(out, params.prelu2_alpha);
        out = isPnet ? out : hl(out, [3, 3], [2, 2], 'valid');
        out = convLayer(out, params.conv3, 'valid');
        out = prelu(out, params.prelu3_alpha);
        return out;
    });
}
//# sourceMappingURL=sharedLayers.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/PNet.js



function PNet(x, params) {
    return Ze(function () {
        var out = sharedLayer(x, params, true);
        var conv = convLayer(out, params.conv4_1, 'valid');
        var max = wr(Sl(conv, 3), 3);
        var prob = go(Cc(conv, max), 3);
        var regions = convLayer(out, params.conv4_2, 'valid');
        return { prob: prob, regions: regions };
    });
}
//# sourceMappingURL=PNet.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/stage1.js








function rescaleAndNormalize(x, scale) {
    return Ze(function () {
        var _a = getSizesForScale(scale, x.shape.slice(1)), height = _a.height, width = _a.width;
        var resized = Oh.resizeBilinear(x, [height, width]);
        var normalized = normalize_normalize(resized);
        return Wl(normalized, [0, 2, 1, 3]);
    });
}
function extractBoundingBoxes(scoresTensor, regionsTensor, scale, scoreThreshold) {
    // TODO: fix this!, maybe better to use tf.gather here
    var indices = [];
    var scoresData = scoresTensor.arraySync();
    for (var y = 0; y < scoresTensor.shape[0]; y++) {
        for (var x = 0; x < scoresTensor.shape[1]; x++) {
            if (scoresData[y][x] >= scoreThreshold) {
                indices.push(new Point(x, y));
            }
        }
    }
    var boundingBoxes = indices.map(function (idx) {
        var cell = new BoundingBox(Math.round((idx.y * CELL_STRIDE + 1) / scale), Math.round((idx.x * CELL_STRIDE + 1) / scale), Math.round((idx.y * CELL_STRIDE + CELL_SIZE) / scale), Math.round((idx.x * CELL_STRIDE + CELL_SIZE) / scale));
        var score = scoresData[idx.y][idx.x];
        var regionsData = regionsTensor.arraySync();
        var region = new MtcnnBox(regionsData[idx.y][idx.x][0], regionsData[idx.y][idx.x][1], regionsData[idx.y][idx.x][2], regionsData[idx.y][idx.x][3]);
        return {
            cell: cell,
            score: score,
            region: region
        };
    });
    return boundingBoxes;
}
function stage1(imgTensor, scales, scoreThreshold, params, stats) {
    stats.stage1 = [];
    var pnetOutputs = scales.map(function (scale) { return Ze(function () {
        var statsForScale = { scale: scale };
        var resized = rescaleAndNormalize(imgTensor, scale);
        var ts = Date.now();
        var _a = PNet(resized, params), prob = _a.prob, regions = _a.regions;
        statsForScale.pnet = Date.now() - ts;
        var scoresTensor = Ur(Ur(prob, 3)[1])[0];
        var regionsTensor = Ur(regions)[0];
        return {
            scoresTensor: scoresTensor,
            regionsTensor: regionsTensor,
            scale: scale,
            statsForScale: statsForScale
        };
    }); });
    var boxesForScale = pnetOutputs.map(function (_a) {
        var scoresTensor = _a.scoresTensor, regionsTensor = _a.regionsTensor, scale = _a.scale, statsForScale = _a.statsForScale;
        var boundingBoxes = extractBoundingBoxes(scoresTensor, regionsTensor, scale, scoreThreshold);
        scoresTensor.dispose();
        regionsTensor.dispose();
        if (!boundingBoxes.length) {
            stats.stage1.push(statsForScale);
            return [];
        }
        var ts = Date.now();
        var indices = nonMaxSuppression(boundingBoxes.map(function (bbox) { return bbox.cell; }), boundingBoxes.map(function (bbox) { return bbox.score; }), 0.5);
        statsForScale.nms = Date.now() - ts;
        statsForScale.numBoxes = indices.length;
        stats.stage1.push(statsForScale);
        return indices.map(function (boxIdx) { return boundingBoxes[boxIdx]; });
    });
    var allBoxes = boxesForScale.reduce(function (all, boxes) { return all.concat(boxes); }, []);
    var finalBoxes = [];
    var finalScores = [];
    if (allBoxes.length > 0) {
        var ts = Date.now();
        var indices = nonMaxSuppression(allBoxes.map(function (bbox) { return bbox.cell; }), allBoxes.map(function (bbox) { return bbox.score; }), 0.7);
        stats.stage1_nms = Date.now() - ts;
        finalScores = indices.map(function (idx) { return allBoxes[idx].score; });
        finalBoxes = indices
            .map(function (idx) { return allBoxes[idx]; })
            .map(function (_a) {
            var cell = _a.cell, region = _a.region;
            return new BoundingBox(cell.left + (region.left * cell.width), cell.top + (region.top * cell.height), cell.right + (region.right * cell.width), cell.bottom + (region.bottom * cell.height)).toSquare().round();
        });
    }
    return {
        boxes: finalBoxes,
        scores: finalScores
    };
}
//# sourceMappingURL=stage1.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/extractImagePatches.js





function extractImagePatches(img, boxes, _a) {
    var width = _a.width, height = _a.height;
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var imgCtx, bitmaps, imagePatchesDatas;
        var _this = this;
        return tslib_es6_generator(this, function (_b) {
            switch (_b.label) {
                case 0:
                    imgCtx = getContext2dOrThrow(img);
                    return [4 /*yield*/, Promise.all(boxes.map(function (box) { return tslib_es6_awaiter(_this, void 0, void 0, function () {
                            var _a, y, ey, x, ex, fromX, fromY, imgData;
                            return tslib_es6_generator(this, function (_b) {
                                _a = box.padAtBorders(img.height, img.width), y = _a.y, ey = _a.ey, x = _a.x, ex = _a.ex;
                                fromX = x - 1;
                                fromY = y - 1;
                                imgData = imgCtx.getImageData(fromX, fromY, (ex - fromX), (ey - fromY));
                                return [2 /*return*/, env_env.isNodejs() ? createCanvasFromMedia(imgData) : createImageBitmap(imgData)];
                            });
                        }); }))];
                case 1:
                    bitmaps = _b.sent();
                    imagePatchesDatas = [];
                    bitmaps.forEach(function (bmp) {
                        var patch = createCanvas({ width: width, height: height });
                        var patchCtx = getContext2dOrThrow(patch);
                        patchCtx.drawImage(bmp, 0, 0, width, height);
                        var data = patchCtx.getImageData(0, 0, width, height).data;
                        var currData = [];
                        // RGBA -> BGR
                        for (var i = 0; i < data.length; i += 4) {
                            currData.push(data[i + 2]);
                            currData.push(data[i + 1]);
                            currData.push(data[i]);
                        }
                        imagePatchesDatas.push(currData);
                    });
                    return [2 /*return*/, imagePatchesDatas.map(function (data) {
                            var t = Ze(function () {
                                var imagePatchTensor = Wl(Ln(data, [1, width, height, 3]), [0, 2, 1, 3]).toFloat();
                                return normalize_normalize(imagePatchTensor);
                            });
                            return t;
                        })];
            }
        });
    });
}
//# sourceMappingURL=extractImagePatches.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/RNet.js




function RNet(x, params) {
    return Ze(function () {
        var convOut = sharedLayer(x, params);
        var vectorized = Or(convOut, [convOut.shape[0], params.fc1.weights.shape[0]]);
        var fc1 = fullyConnectedLayer(vectorized, params.fc1);
        var prelu4 = prelu(fc1, params.prelu4_alpha);
        var fc2_1 = fullyConnectedLayer(prelu4, params.fc2_1);
        var max = wr(Sl(fc2_1, 1), 1);
        var prob = go(Cc(fc2_1, max), 1);
        var regions = fullyConnectedLayer(prelu4, params.fc2_2);
        var scores = Ur(prob, 1)[1];
        return { scores: scores, regions: regions };
    });
}
//# sourceMappingURL=RNet.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/stage2.js






function stage2(img, inputBoxes, scoreThreshold, params, stats) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var ts, rnetInputs, rnetOuts, scoresTensor, scores, _a, _b, indices, filteredBoxes, filteredScores, finalBoxes, finalScores, indicesNms, regions_1;
        return tslib_es6_generator(this, function (_c) {
            switch (_c.label) {
                case 0:
                    ts = Date.now();
                    return [4 /*yield*/, extractImagePatches(img, inputBoxes, { width: 24, height: 24 })];
                case 1:
                    rnetInputs = _c.sent();
                    stats.stage2_extractImagePatches = Date.now() - ts;
                    ts = Date.now();
                    rnetOuts = rnetInputs.map(function (rnetInput) {
                        var out = RNet(rnetInput, params);
                        rnetInput.dispose();
                        return out;
                    });
                    stats.stage2_rnet = Date.now() - ts;
                    scoresTensor = rnetOuts.length > 1
                        ? Yn(rnetOuts.map(function (out) { return out.scores; }))
                        : rnetOuts[0].scores;
                    _b = (_a = Array).from;
                    return [4 /*yield*/, scoresTensor.data()];
                case 2:
                    scores = _b.apply(_a, [_c.sent()]);
                    scoresTensor.dispose();
                    indices = scores
                        .map(function (score, idx) { return ({ score: score, idx: idx }); })
                        .filter(function (c) { return c.score > scoreThreshold; })
                        .map(function (_a) {
                        var idx = _a.idx;
                        return idx;
                    });
                    filteredBoxes = indices.map(function (idx) { return inputBoxes[idx]; });
                    filteredScores = indices.map(function (idx) { return scores[idx]; });
                    finalBoxes = [];
                    finalScores = [];
                    if (filteredBoxes.length > 0) {
                        ts = Date.now();
                        indicesNms = nonMaxSuppression(filteredBoxes, filteredScores, 0.7);
                        stats.stage2_nms = Date.now() - ts;
                        regions_1 = indicesNms.map(function (idx) {
                            var regionsData = rnetOuts[indices[idx]].regions.arraySync();
                            return new MtcnnBox(regionsData[0][0], regionsData[0][1], regionsData[0][2], regionsData[0][3]);
                        });
                        finalScores = indicesNms.map(function (idx) { return filteredScores[idx]; });
                        finalBoxes = indicesNms.map(function (idx, i) { return filteredBoxes[idx].calibrate(regions_1[i]); });
                    }
                    rnetOuts.forEach(function (t) {
                        t.regions.dispose();
                        t.scores.dispose();
                    });
                    return [2 /*return*/, {
                            boxes: finalBoxes,
                            scores: finalScores
                        }];
            }
        });
    });
}
//# sourceMappingURL=stage2.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/ONet.js





function ONet(x, params) {
    return Ze(function () {
        var out = sharedLayer(x, params);
        out = hl(out, [2, 2], [2, 2], 'same');
        out = convLayer(out, params.conv4, 'valid');
        out = prelu(out, params.prelu4_alpha);
        var vectorized = Or(out, [out.shape[0], params.fc1.weights.shape[0]]);
        var fc1 = fullyConnectedLayer(vectorized, params.fc1);
        var prelu5 = prelu(fc1, params.prelu5_alpha);
        var fc2_1 = fullyConnectedLayer(prelu5, params.fc2_1);
        var max = wr(Sl(fc2_1, 1), 1);
        var prob = go(Cc(fc2_1, max), 1);
        var regions = fullyConnectedLayer(prelu5, params.fc2_2);
        var points = fullyConnectedLayer(prelu5, params.fc2_3);
        var scores = Ur(prob, 1)[1];
        return { scores: scores, regions: regions, points: points };
    });
}
//# sourceMappingURL=ONet.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/stage3.js







function stage3(img, inputBoxes, scoreThreshold, params, stats) {
    return tslib_es6_awaiter(this, void 0, void 0, function () {
        var ts, onetInputs, onetOuts, scoresTensor, scores, _a, _b, indices, filteredRegions, filteredBoxes, filteredScores, finalBoxes, finalScores, points, indicesNms;
        return tslib_es6_generator(this, function (_c) {
            switch (_c.label) {
                case 0:
                    ts = Date.now();
                    return [4 /*yield*/, extractImagePatches(img, inputBoxes, { width: 48, height: 48 })];
                case 1:
                    onetInputs = _c.sent();
                    stats.stage3_extractImagePatches = Date.now() - ts;
                    ts = Date.now();
                    onetOuts = onetInputs.map(function (onetInput) {
                        var out = ONet(onetInput, params);
                        onetInput.dispose();
                        return out;
                    });
                    stats.stage3_onet = Date.now() - ts;
                    scoresTensor = onetOuts.length > 1
                        ? Yn(onetOuts.map(function (out) { return out.scores; }))
                        : onetOuts[0].scores;
                    _b = (_a = Array).from;
                    return [4 /*yield*/, scoresTensor.data()];
                case 2:
                    scores = _b.apply(_a, [_c.sent()]);
                    scoresTensor.dispose();
                    indices = scores
                        .map(function (score, idx) { return ({ score: score, idx: idx }); })
                        .filter(function (c) { return c.score > scoreThreshold; })
                        .map(function (_a) {
                        var idx = _a.idx;
                        return idx;
                    });
                    filteredRegions = indices.map(function (idx) {
                        var regionsData = onetOuts[idx].regions.arraySync();
                        return new MtcnnBox(regionsData[0][0], regionsData[0][1], regionsData[0][2], regionsData[0][3]);
                    });
                    filteredBoxes = indices
                        .map(function (idx, i) { return inputBoxes[idx].calibrate(filteredRegions[i]); });
                    filteredScores = indices.map(function (idx) { return scores[idx]; });
                    finalBoxes = [];
                    finalScores = [];
                    points = [];
                    if (filteredBoxes.length > 0) {
                        ts = Date.now();
                        indicesNms = nonMaxSuppression(filteredBoxes, filteredScores, 0.7, false);
                        stats.stage3_nms = Date.now() - ts;
                        finalBoxes = indicesNms.map(function (idx) { return filteredBoxes[idx]; });
                        finalScores = indicesNms.map(function (idx) { return filteredScores[idx]; });
                        points = indicesNms.map(function (idx, i) {
                            return Array(5).fill(0).map(function (_, ptIdx) {
                                var pointsData = onetOuts[idx].points.arraySync();
                                return new Point(((pointsData[0][ptIdx] * (finalBoxes[i].width + 1)) + finalBoxes[i].left), ((pointsData[0][ptIdx + 5] * (finalBoxes[i].height + 1)) + finalBoxes[i].top));
                            });
                        });
                    }
                    onetOuts.forEach(function (t) {
                        t.regions.dispose();
                        t.scores.dispose();
                        t.points.dispose();
                    });
                    return [2 /*return*/, {
                            boxes: finalBoxes,
                            scores: finalScores,
                            points: points
                        }];
            }
        });
    });
}
//# sourceMappingURL=stage3.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/Mtcnn.js


















var Mtcnn_Mtcnn = /** @class */ (function (_super) {
    __extends(Mtcnn, _super);
    function Mtcnn() {
        return _super.call(this, 'Mtcnn') || this;
    }
    Mtcnn.prototype.load = function (weightsOrUrl) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            return tslib_es6_generator(this, function (_a) {
                console.warn('mtcnn is deprecated and will be removed soon');
                return [2 /*return*/, _super.prototype.load.call(this, weightsOrUrl)];
            });
        });
    };
    Mtcnn.prototype.loadFromDisk = function (filePath) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            return tslib_es6_generator(this, function (_a) {
                console.warn('mtcnn is deprecated and will be removed soon');
                return [2 /*return*/, _super.prototype.loadFromDisk.call(this, filePath)];
            });
        });
    };
    Mtcnn.prototype.forwardInput = function (input, forwardParams) {
        if (forwardParams === void 0) { forwardParams = {}; }
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var params, inputCanvas, stats, tsTotal, imgTensor, onReturn, _a, height, width, _b, minFaceSize, scaleFactor, maxNumScales, scoreThresholds, scaleSteps, scales, ts, out1, out2, out3, results;
            return tslib_es6_generator(this, function (_c) {
                switch (_c.label) {
                    case 0:
                        params = this.params;
                        if (!params) {
                            throw new Error('Mtcnn - load model before inference');
                        }
                        inputCanvas = input.canvases[0];
                        if (!inputCanvas) {
                            throw new Error('Mtcnn - inputCanvas is not defined, note that passing tensors into Mtcnn.forwardInput is not supported yet.');
                        }
                        stats = {};
                        tsTotal = Date.now();
                        imgTensor = Ze(function () {
                            return bgrToRgbTensor(wr(id.fromPixels(inputCanvas)).toFloat());
                        });
                        onReturn = function (results) {
                            // dispose tensors on return
                            imgTensor.dispose();
                            stats.total = Date.now() - tsTotal;
                            return results;
                        };
                        _a = imgTensor.shape.slice(1), height = _a[0], width = _a[1];
                        _b = new MtcnnOptions_MtcnnOptions(forwardParams), minFaceSize = _b.minFaceSize, scaleFactor = _b.scaleFactor, maxNumScales = _b.maxNumScales, scoreThresholds = _b.scoreThresholds, scaleSteps = _b.scaleSteps;
                        scales = (scaleSteps || pyramidDown(minFaceSize, scaleFactor, [height, width]))
                            .filter(function (scale) {
                            var sizes = getSizesForScale(scale, [height, width]);
                            return Math.min(sizes.width, sizes.height) > CELL_SIZE;
                        })
                            .slice(0, maxNumScales);
                        stats.scales = scales;
                        stats.pyramid = scales.map(function (scale) { return getSizesForScale(scale, [height, width]); });
                        ts = Date.now();
                        return [4 /*yield*/, stage1(imgTensor, scales, scoreThresholds[0], params.pnet, stats)];
                    case 1:
                        out1 = _c.sent();
                        stats.total_stage1 = Date.now() - ts;
                        if (!out1.boxes.length) {
                            return [2 /*return*/, onReturn({ results: [], stats: stats })];
                        }
                        stats.stage2_numInputBoxes = out1.boxes.length;
                        // using the inputCanvas to extract and resize the image patches, since it is faster
                        // than doing this on the gpu
                        ts = Date.now();
                        return [4 /*yield*/, stage2(inputCanvas, out1.boxes, scoreThresholds[1], params.rnet, stats)];
                    case 2:
                        out2 = _c.sent();
                        stats.total_stage2 = Date.now() - ts;
                        if (!out2.boxes.length) {
                            return [2 /*return*/, onReturn({ results: [], stats: stats })];
                        }
                        stats.stage3_numInputBoxes = out2.boxes.length;
                        ts = Date.now();
                        return [4 /*yield*/, stage3(inputCanvas, out2.boxes, scoreThresholds[2], params.onet, stats)];
                    case 3:
                        out3 = _c.sent();
                        stats.total_stage3 = Date.now() - ts;
                        results = out3.boxes.map(function (box, idx) { return extendWithFaceLandmarks(extendWithFaceDetection({}, new FaceDetection(out3.scores[idx], new Rect(box.left / width, box.top / height, box.width / width, box.height / height), {
                            height: height,
                            width: width
                        })), new FaceLandmarks5(out3.points[idx].map(function (pt) { return pt.sub(new Point(box.left, box.top)).div(new Point(box.width, box.height)); }), { width: box.width, height: box.height })); });
                        return [2 /*return*/, onReturn({ results: results, stats: stats })];
                }
            });
        });
    };
    Mtcnn.prototype.forward = function (input, forwardParams) {
        if (forwardParams === void 0) { forwardParams = {}; }
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [4 /*yield*/, _a.apply(this, [_b.sent(),
                            forwardParams])];
                    case 2: return [2 /*return*/, (_b.sent()).results];
                }
            });
        });
    };
    Mtcnn.prototype.forwardWithStats = function (input, forwardParams) {
        if (forwardParams === void 0) { forwardParams = {}; }
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this.forwardInput;
                        return [4 /*yield*/, toNetInput(input)];
                    case 1: return [2 /*return*/, _a.apply(this, [_b.sent(),
                            forwardParams])];
                }
            });
        });
    };
    Mtcnn.prototype.getDefaultModelName = function () {
        return 'mtcnn_model';
    };
    Mtcnn.prototype.extractParamsFromWeigthMap = function (weightMap) {
        return mtcnn_extractParamsFromWeigthMap_extractParamsFromWeigthMap(weightMap);
    };
    Mtcnn.prototype.extractParams = function (weights) {
        return mtcnn_extractParams_extractParams(weights);
    };
    return Mtcnn;
}(NeuralNetwork));

//# sourceMappingURL=Mtcnn.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyFaceDetector/const.js

var const_IOU_THRESHOLD = 0.4;
var const_BOX_ANCHORS = [
    new Point(1.603231, 2.094468),
    new Point(6.041143, 7.080126),
    new Point(2.882459, 3.518061),
    new Point(4.266906, 5.178857),
    new Point(9.041765, 10.66308)
];
var MEAN_RGB = [117.001, 114.697, 97.404];
//# sourceMappingURL=const.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyFaceDetector/TinyFaceDetector.js




var TinyFaceDetector_TinyFaceDetector = /** @class */ (function (_super) {
    __extends(TinyFaceDetector, _super);
    function TinyFaceDetector() {
        var _this = this;
        var config = {
            withSeparableConvs: true,
            iouThreshold: const_IOU_THRESHOLD,
            classes: ['face'],
            anchors: const_BOX_ANCHORS,
            meanRgb: MEAN_RGB,
            isFirstLayerConv2d: true,
            filterSizes: [3, 16, 32, 64, 128, 256, 512]
        };
        _this = _super.call(this, config) || this;
        return _this;
    }
    Object.defineProperty(TinyFaceDetector.prototype, "anchors", {
        get: function () {
            return this.config.anchors;
        },
        enumerable: true,
        configurable: true
    });
    TinyFaceDetector.prototype.locateFaces = function (input, forwardParams) {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var objectDetections;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.detect(input, forwardParams)];
                    case 1:
                        objectDetections = _a.sent();
                        return [2 /*return*/, objectDetections.map(function (det) { return new FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }); })];
                }
            });
        });
    };
    TinyFaceDetector.prototype.getDefaultModelName = function () {
        return 'tiny_face_detector_model';
    };
    TinyFaceDetector.prototype.extractParamsFromWeigthMap = function (weightMap) {
        return _super.prototype.extractParamsFromWeigthMap.call(this, weightMap);
    };
    return TinyFaceDetector;
}(TinyYolov2Base));

//# sourceMappingURL=TinyFaceDetector.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/nets.js









var nets = {
    ssdMobilenetv1: new SsdMobilenetv1_SsdMobilenetv1(),
    tinyFaceDetector: new TinyFaceDetector_TinyFaceDetector(),
    tinyYolov2: new TinyYolov2_TinyYolov2(),
    mtcnn: new Mtcnn_Mtcnn(),
    faceLandmark68Net: new FaceLandmark68Net(),
    faceLandmark68TinyNet: new FaceLandmark68TinyNet(),
    faceRecognitionNet: new FaceRecognitionNet_FaceRecognitionNet(),
    faceExpressionNet: new FaceExpressionNet(),
    ageGenderNet: new AgeGenderNet()
};
/**
 * Attempts to detect all faces in an image using SSD Mobilenetv1 Network.
 *
 * @param input The input image.
 * @param options (optional, default: see SsdMobilenetv1Options constructor for default parameters).
 * @returns Bounding box of each face with score.
 */
var ssdMobilenetv1 = function (input, options) {
    return nets.ssdMobilenetv1.locateFaces(input, options);
};
/**
 * Attempts to detect all faces in an image using the Tiny Face Detector.
 *
 * @param input The input image.
 * @param options (optional, default: see TinyFaceDetectorOptions constructor for default parameters).
 * @returns Bounding box of each face with score.
 */
var tinyFaceDetector = function (input, options) {
    return nets.tinyFaceDetector.locateFaces(input, options);
};
/**
 * Attempts to detect all faces in an image using the Tiny Yolov2 Network.
 *
 * @param input The input image.
 * @param options (optional, default: see TinyYolov2Options constructor for default parameters).
 * @returns Bounding box of each face with score.
 */
var tinyYolov2 = function (input, options) {
    return nets.tinyYolov2.locateFaces(input, options);
};
/**
 * Attempts to detect all faces in an image and the 5 point face landmarks
 * of each detected face using the MTCNN Network.
 *
 * @param input The input image.
 * @param options (optional, default: see MtcnnOptions constructor for default parameters).
 * @returns Bounding box of each face with score and 5 point face landmarks.
 */
var mtcnn = function (input, options) {
    return nets.mtcnn.forward(input, options);
};
/**
 * Detects the 68 point face landmark positions of the face shown in an image.
 *
 * @param inputs The face image extracted from the bounding box of a face. Can
 * also be an array of input images, which will be batch processed.
 * @returns 68 point face landmarks or array thereof in case of batch input.
 */
var detectFaceLandmarks = function (input) {
    return nets.faceLandmark68Net.detectLandmarks(input);
};
/**
 * Detects the 68 point face landmark positions of the face shown in an image
 * using a tinier version of the 68 point face landmark model, which is slightly
 * faster at inference, but also slightly less accurate.
 *
 * @param inputs The face image extracted from the bounding box of a face. Can
 * also be an array of input images, which will be batch processed.
 * @returns 68 point face landmarks or array thereof in case of batch input.
 */
var detectFaceLandmarksTiny = function (input) {
    return nets.faceLandmark68TinyNet.detectLandmarks(input);
};
/**
 * Computes a 128 entry vector (face descriptor / face embeddings) from the face shown in an image,
 * which uniquely represents the features of that persons face. The computed face descriptor can
 * be used to measure the similarity between faces, by computing the euclidean distance of two
 * face descriptors.
 *
 * @param inputs The face image extracted from the aligned bounding box of a face. Can
 * also be an array of input images, which will be batch processed.
 * @returns Face descriptor with 128 entries or array thereof in case of batch input.
 */
var computeFaceDescriptor = function (input) {
    return nets.faceRecognitionNet.computeFaceDescriptor(input);
};
/**
 * Recognizes the facial expressions from a face image.
 *
 * @param inputs The face image extracted from the bounding box of a face. Can
 * also be an array of input images, which will be batch processed.
 * @returns Facial expressions with corresponding probabilities or array thereof in case of batch input.
 */
var recognizeFaceExpressions = function (input) {
    return nets.faceExpressionNet.predictExpressions(input);
};
/**
 * Predicts age and gender from a face image.
 *
 * @param inputs The face image extracted from the bounding box of a face. Can
 * also be an array of input images, which will be batch processed.
 * @returns Predictions with age, gender and gender probability or array thereof in case of batch input.
 */
var predictAgeAndGender = function (input) {
    return nets.ageGenderNet.predictAgeAndGender(input);
};
var loadSsdMobilenetv1Model = function (url) { return nets.ssdMobilenetv1.load(url); };
var loadTinyFaceDetectorModel = function (url) { return nets.tinyFaceDetector.load(url); };
var loadMtcnnModel = function (url) { return nets.mtcnn.load(url); };
var loadTinyYolov2Model = function (url) { return nets.tinyYolov2.load(url); };
var loadFaceLandmarkModel = function (url) { return nets.faceLandmark68Net.load(url); };
var loadFaceLandmarkTinyModel = function (url) { return nets.faceLandmark68TinyNet.load(url); };
var loadFaceRecognitionModel = function (url) { return nets.faceRecognitionNet.load(url); };
var loadFaceExpressionModel = function (url) { return nets.faceExpressionNet.load(url); };
var loadAgeGenderModel = function (url) { return nets.ageGenderNet.load(url); };
// backward compatibility
var loadFaceDetectionModel = (/* unused pure expression or super */ null && (loadSsdMobilenetv1Model));
var locateFaces = (/* unused pure expression or super */ null && (ssdMobilenetv1));
var detectLandmarks = (/* unused pure expression or super */ null && (detectFaceLandmarks));
//# sourceMappingURL=nets.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/factories/WithAge.js
function isWithAge(obj) {
    return typeof obj['age'] === 'number';
}
function extendWithAge(sourceObj, age) {
    var extension = { age: age };
    return Object.assign({}, sourceObj, extension);
}
//# sourceMappingURL=WithAge.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/PredictFaceExpressionsTask.js







var PredictFaceExpressionsTaskBase = /** @class */ (function (_super) {
    __extends(PredictFaceExpressionsTaskBase, _super);
    function PredictFaceExpressionsTaskBase(parentTask, input, extractedFaces) {
        var _this = _super.call(this) || this;
        _this.parentTask = parentTask;
        _this.input = input;
        _this.extractedFaces = extractedFaces;
        return _this;
    }
    return PredictFaceExpressionsTaskBase;
}(ComposableTask));

var PredictAllFaceExpressionsTask = /** @class */ (function (_super) {
    __extends(PredictAllFaceExpressionsTask, _super);
    function PredictAllFaceExpressionsTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    PredictAllFaceExpressionsTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var parentResults, faceExpressionsByFace;
            var _this = this;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.parentTask];
                    case 1:
                        parentResults = _a.sent();
                        return [4 /*yield*/, extractAllFacesAndComputeResults(parentResults, this.input, function (faces) { return tslib_es6_awaiter(_this, void 0, void 0, function () {
                                return tslib_es6_generator(this, function (_a) {
                                    switch (_a.label) {
                                        case 0: return [4 /*yield*/, Promise.all(faces.map(function (face) { return nets.faceExpressionNet.predictExpressions(face); }))];
                                        case 1: return [2 /*return*/, _a.sent()];
                                    }
                                });
                            }); }, this.extractedFaces)];
                    case 2:
                        faceExpressionsByFace = _a.sent();
                        return [2 /*return*/, parentResults.map(function (parentResult, i) { return extendWithFaceExpressions(parentResult, faceExpressionsByFace[i]); })];
                }
            });
        });
    };
    PredictAllFaceExpressionsTask.prototype.withAgeAndGender = function () {
        return new PredictAllAgeAndGenderTask(this, this.input);
    };
    return PredictAllFaceExpressionsTask;
}(PredictFaceExpressionsTaskBase));

var PredictSingleFaceExpressionsTask = /** @class */ (function (_super) {
    __extends(PredictSingleFaceExpressionsTask, _super);
    function PredictSingleFaceExpressionsTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    PredictSingleFaceExpressionsTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var parentResult, faceExpressions;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.parentTask];
                    case 1:
                        parentResult = _a.sent();
                        if (!parentResult) {
                            return [2 /*return*/];
                        }
                        return [4 /*yield*/, extractSingleFaceAndComputeResult(parentResult, this.input, function (face) { return nets.faceExpressionNet.predictExpressions(face); }, this.extractedFaces)];
                    case 2:
                        faceExpressions = _a.sent();
                        return [2 /*return*/, extendWithFaceExpressions(parentResult, faceExpressions)];
                }
            });
        });
    };
    PredictSingleFaceExpressionsTask.prototype.withAgeAndGender = function () {
        return new PredictSingleAgeAndGenderTask(this, this.input);
    };
    return PredictSingleFaceExpressionsTask;
}(PredictFaceExpressionsTaskBase));

var PredictAllFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_super) {
    __extends(PredictAllFaceExpressionsWithFaceAlignmentTask, _super);
    function PredictAllFaceExpressionsWithFaceAlignmentTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    PredictAllFaceExpressionsWithFaceAlignmentTask.prototype.withAgeAndGender = function () {
        return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);
    };
    PredictAllFaceExpressionsWithFaceAlignmentTask.prototype.withFaceDescriptors = function () {
        return new ComputeAllFaceDescriptorsTask(this, this.input);
    };
    return PredictAllFaceExpressionsWithFaceAlignmentTask;
}(PredictAllFaceExpressionsTask));

var PredictSingleFaceExpressionsWithFaceAlignmentTask = /** @class */ (function (_super) {
    __extends(PredictSingleFaceExpressionsWithFaceAlignmentTask, _super);
    function PredictSingleFaceExpressionsWithFaceAlignmentTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    PredictSingleFaceExpressionsWithFaceAlignmentTask.prototype.withAgeAndGender = function () {
        return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);
    };
    PredictSingleFaceExpressionsWithFaceAlignmentTask.prototype.withFaceDescriptor = function () {
        return new ComputeSingleFaceDescriptorTask(this, this.input);
    };
    return PredictSingleFaceExpressionsWithFaceAlignmentTask;
}(PredictSingleFaceExpressionsTask));

//# sourceMappingURL=PredictFaceExpressionsTask.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/PredictAgeAndGenderTask.js








var PredictAgeAndGenderTaskBase = /** @class */ (function (_super) {
    __extends(PredictAgeAndGenderTaskBase, _super);
    function PredictAgeAndGenderTaskBase(parentTask, input, extractedFaces) {
        var _this = _super.call(this) || this;
        _this.parentTask = parentTask;
        _this.input = input;
        _this.extractedFaces = extractedFaces;
        return _this;
    }
    return PredictAgeAndGenderTaskBase;
}(ComposableTask));

var PredictAllAgeAndGenderTask = /** @class */ (function (_super) {
    __extends(PredictAllAgeAndGenderTask, _super);
    function PredictAllAgeAndGenderTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    PredictAllAgeAndGenderTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var parentResults, ageAndGenderByFace;
            var _this = this;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.parentTask];
                    case 1:
                        parentResults = _a.sent();
                        return [4 /*yield*/, extractAllFacesAndComputeResults(parentResults, this.input, function (faces) { return tslib_es6_awaiter(_this, void 0, void 0, function () {
                                return tslib_es6_generator(this, function (_a) {
                                    switch (_a.label) {
                                        case 0: return [4 /*yield*/, Promise.all(faces.map(function (face) { return nets.ageGenderNet.predictAgeAndGender(face); }))];
                                        case 1: return [2 /*return*/, _a.sent()];
                                    }
                                });
                            }); }, this.extractedFaces)];
                    case 2:
                        ageAndGenderByFace = _a.sent();
                        return [2 /*return*/, parentResults.map(function (parentResult, i) {
                                var _a = ageAndGenderByFace[i], age = _a.age, gender = _a.gender, genderProbability = _a.genderProbability;
                                return extendWithAge(extendWithGender(parentResult, gender, genderProbability), age);
                            })];
                }
            });
        });
    };
    PredictAllAgeAndGenderTask.prototype.withFaceExpressions = function () {
        return new PredictAllFaceExpressionsTask(this, this.input);
    };
    return PredictAllAgeAndGenderTask;
}(PredictAgeAndGenderTaskBase));

var PredictSingleAgeAndGenderTask = /** @class */ (function (_super) {
    __extends(PredictSingleAgeAndGenderTask, _super);
    function PredictSingleAgeAndGenderTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    PredictSingleAgeAndGenderTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var parentResult, _a, age, gender, genderProbability;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0: return [4 /*yield*/, this.parentTask];
                    case 1:
                        parentResult = _b.sent();
                        if (!parentResult) {
                            return [2 /*return*/];
                        }
                        return [4 /*yield*/, extractSingleFaceAndComputeResult(parentResult, this.input, function (face) { return nets.ageGenderNet.predictAgeAndGender(face); }, this.extractedFaces)];
                    case 2:
                        _a = _b.sent(), age = _a.age, gender = _a.gender, genderProbability = _a.genderProbability;
                        return [2 /*return*/, extendWithAge(extendWithGender(parentResult, gender, genderProbability), age)];
                }
            });
        });
    };
    PredictSingleAgeAndGenderTask.prototype.withFaceExpressions = function () {
        return new PredictSingleFaceExpressionsTask(this, this.input);
    };
    return PredictSingleAgeAndGenderTask;
}(PredictAgeAndGenderTaskBase));

var PredictAllAgeAndGenderWithFaceAlignmentTask = /** @class */ (function (_super) {
    __extends(PredictAllAgeAndGenderWithFaceAlignmentTask, _super);
    function PredictAllAgeAndGenderWithFaceAlignmentTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    PredictAllAgeAndGenderWithFaceAlignmentTask.prototype.withFaceExpressions = function () {
        return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);
    };
    PredictAllAgeAndGenderWithFaceAlignmentTask.prototype.withFaceDescriptors = function () {
        return new ComputeAllFaceDescriptorsTask(this, this.input);
    };
    return PredictAllAgeAndGenderWithFaceAlignmentTask;
}(PredictAllAgeAndGenderTask));

var PredictSingleAgeAndGenderWithFaceAlignmentTask = /** @class */ (function (_super) {
    __extends(PredictSingleAgeAndGenderWithFaceAlignmentTask, _super);
    function PredictSingleAgeAndGenderWithFaceAlignmentTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    PredictSingleAgeAndGenderWithFaceAlignmentTask.prototype.withFaceExpressions = function () {
        return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);
    };
    PredictSingleAgeAndGenderWithFaceAlignmentTask.prototype.withFaceDescriptor = function () {
        return new ComputeSingleFaceDescriptorTask(this, this.input);
    };
    return PredictSingleAgeAndGenderWithFaceAlignmentTask;
}(PredictSingleAgeAndGenderTask));

//# sourceMappingURL=PredictAgeAndGenderTask.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/ComputeFaceDescriptorsTasks.js







var ComputeFaceDescriptorsTaskBase = /** @class */ (function (_super) {
    __extends(ComputeFaceDescriptorsTaskBase, _super);
    function ComputeFaceDescriptorsTaskBase(parentTask, input) {
        var _this = _super.call(this) || this;
        _this.parentTask = parentTask;
        _this.input = input;
        return _this;
    }
    return ComputeFaceDescriptorsTaskBase;
}(ComposableTask));

var ComputeAllFaceDescriptorsTask = /** @class */ (function (_super) {
    __extends(ComputeAllFaceDescriptorsTask, _super);
    function ComputeAllFaceDescriptorsTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    ComputeAllFaceDescriptorsTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var parentResults, descriptors;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.parentTask];
                    case 1:
                        parentResults = _a.sent();
                        return [4 /*yield*/, extractAllFacesAndComputeResults(parentResults, this.input, function (faces) { return Promise.all(faces.map(function (face) {
                                return nets.faceRecognitionNet.computeFaceDescriptor(face);
                            })); }, null, function (parentResult) { return parentResult.landmarks.align(null, { useDlibAlignment: true }); })];
                    case 2:
                        descriptors = _a.sent();
                        return [2 /*return*/, descriptors.map(function (descriptor, i) { return extendWithFaceDescriptor(parentResults[i], descriptor); })];
                }
            });
        });
    };
    ComputeAllFaceDescriptorsTask.prototype.withFaceExpressions = function () {
        return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);
    };
    ComputeAllFaceDescriptorsTask.prototype.withAgeAndGender = function () {
        return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);
    };
    return ComputeAllFaceDescriptorsTask;
}(ComputeFaceDescriptorsTaskBase));

var ComputeSingleFaceDescriptorTask = /** @class */ (function (_super) {
    __extends(ComputeSingleFaceDescriptorTask, _super);
    function ComputeSingleFaceDescriptorTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    ComputeSingleFaceDescriptorTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var parentResult, descriptor;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.parentTask];
                    case 1:
                        parentResult = _a.sent();
                        if (!parentResult) {
                            return [2 /*return*/];
                        }
                        return [4 /*yield*/, extractSingleFaceAndComputeResult(parentResult, this.input, function (face) { return nets.faceRecognitionNet.computeFaceDescriptor(face); }, null, function (parentResult) { return parentResult.landmarks.align(null, { useDlibAlignment: true }); })];
                    case 2:
                        descriptor = _a.sent();
                        return [2 /*return*/, extendWithFaceDescriptor(parentResult, descriptor)];
                }
            });
        });
    };
    ComputeSingleFaceDescriptorTask.prototype.withFaceExpressions = function () {
        return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);
    };
    ComputeSingleFaceDescriptorTask.prototype.withAgeAndGender = function () {
        return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);
    };
    return ComputeSingleFaceDescriptorTask;
}(ComputeFaceDescriptorsTaskBase));

//# sourceMappingURL=ComputeFaceDescriptorsTasks.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/DetectFaceLandmarksTasks.js









var DetectFaceLandmarksTaskBase = /** @class */ (function (_super) {
    __extends(DetectFaceLandmarksTaskBase, _super);
    function DetectFaceLandmarksTaskBase(parentTask, input, useTinyLandmarkNet) {
        var _this = _super.call(this) || this;
        _this.parentTask = parentTask;
        _this.input = input;
        _this.useTinyLandmarkNet = useTinyLandmarkNet;
        return _this;
    }
    Object.defineProperty(DetectFaceLandmarksTaskBase.prototype, "landmarkNet", {
        get: function () {
            return this.useTinyLandmarkNet
                ? nets.faceLandmark68TinyNet
                : nets.faceLandmark68Net;
        },
        enumerable: true,
        configurable: true
    });
    return DetectFaceLandmarksTaskBase;
}(ComposableTask));

var DetectAllFaceLandmarksTask = /** @class */ (function (_super) {
    __extends(DetectAllFaceLandmarksTask, _super);
    function DetectAllFaceLandmarksTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    DetectAllFaceLandmarksTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var parentResults, detections, faces, _a, faceLandmarksByFace;
            var _this = this;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0: return [4 /*yield*/, this.parentTask];
                    case 1:
                        parentResults = _b.sent();
                        detections = parentResults.map(function (res) { return res.detection; });
                        if (!(this.input instanceof wt)) return [3 /*break*/, 3];
                        return [4 /*yield*/, extractFaceTensors(this.input, detections)];
                    case 2:
                        _a = _b.sent();
                        return [3 /*break*/, 5];
                    case 3: return [4 /*yield*/, extractFaces(this.input, detections)];
                    case 4:
                        _a = _b.sent();
                        _b.label = 5;
                    case 5:
                        faces = _a;
                        return [4 /*yield*/, Promise.all(faces.map(function (face) { return _this.landmarkNet.detectLandmarks(face); }))];
                    case 6:
                        faceLandmarksByFace = _b.sent();
                        faces.forEach(function (f) { return f instanceof wt && f.dispose(); });
                        return [2 /*return*/, parentResults.map(function (parentResult, i) {
                                return extendWithFaceLandmarks(parentResult, faceLandmarksByFace[i]);
                            })];
                }
            });
        });
    };
    DetectAllFaceLandmarksTask.prototype.withFaceExpressions = function () {
        return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input);
    };
    DetectAllFaceLandmarksTask.prototype.withAgeAndGender = function () {
        return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input);
    };
    DetectAllFaceLandmarksTask.prototype.withFaceDescriptors = function () {
        return new ComputeAllFaceDescriptorsTask(this, this.input);
    };
    return DetectAllFaceLandmarksTask;
}(DetectFaceLandmarksTaskBase));

var DetectSingleFaceLandmarksTask = /** @class */ (function (_super) {
    __extends(DetectSingleFaceLandmarksTask, _super);
    function DetectSingleFaceLandmarksTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    DetectSingleFaceLandmarksTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var parentResult, detection, faces, _a, landmarks;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0: return [4 /*yield*/, this.parentTask];
                    case 1:
                        parentResult = _b.sent();
                        if (!parentResult) {
                            return [2 /*return*/];
                        }
                        detection = parentResult.detection;
                        if (!(this.input instanceof wt)) return [3 /*break*/, 3];
                        return [4 /*yield*/, extractFaceTensors(this.input, [detection])];
                    case 2:
                        _a = _b.sent();
                        return [3 /*break*/, 5];
                    case 3: return [4 /*yield*/, extractFaces(this.input, [detection])];
                    case 4:
                        _a = _b.sent();
                        _b.label = 5;
                    case 5:
                        faces = _a;
                        return [4 /*yield*/, this.landmarkNet.detectLandmarks(faces[0])];
                    case 6:
                        landmarks = _b.sent();
                        faces.forEach(function (f) { return f instanceof wt && f.dispose(); });
                        return [2 /*return*/, extendWithFaceLandmarks(parentResult, landmarks)];
                }
            });
        });
    };
    DetectSingleFaceLandmarksTask.prototype.withFaceExpressions = function () {
        return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input);
    };
    DetectSingleFaceLandmarksTask.prototype.withAgeAndGender = function () {
        return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input);
    };
    DetectSingleFaceLandmarksTask.prototype.withFaceDescriptor = function () {
        return new ComputeSingleFaceDescriptorTask(this, this.input);
    };
    return DetectSingleFaceLandmarksTask;
}(DetectFaceLandmarksTaskBase));

//# sourceMappingURL=DetectFaceLandmarksTasks.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/DetectFacesTasks.js











var DetectFacesTaskBase = /** @class */ (function (_super) {
    __extends(DetectFacesTaskBase, _super);
    function DetectFacesTaskBase(input, options) {
        if (options === void 0) { options = new SsdMobilenetv1Options_SsdMobilenetv1Options(); }
        var _this = _super.call(this) || this;
        _this.input = input;
        _this.options = options;
        return _this;
    }
    return DetectFacesTaskBase;
}(ComposableTask));

var DetectFacesTasks_DetectAllFacesTask = /** @class */ (function (_super) {
    __extends(DetectAllFacesTask, _super);
    function DetectAllFacesTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    DetectAllFacesTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var _a, input, options, faceDetectionFunction;
            return tslib_es6_generator(this, function (_b) {
                switch (_b.label) {
                    case 0:
                        _a = this, input = _a.input, options = _a.options;
                        if (!(options instanceof MtcnnOptions_MtcnnOptions)) return [3 /*break*/, 2];
                        return [4 /*yield*/, nets.mtcnn.forward(input, options)];
                    case 1: return [2 /*return*/, (_b.sent())
                            .map(function (result) { return result.detection; })];
                    case 2:
                        faceDetectionFunction = options instanceof TinyFaceDetectorOptions
                            ? function (input) { return nets.tinyFaceDetector.locateFaces(input, options); }
                            : (options instanceof SsdMobilenetv1Options_SsdMobilenetv1Options
                                ? function (input) { return nets.ssdMobilenetv1.locateFaces(input, options); }
                                : (options instanceof TinyYolov2Options_TinyYolov2Options
                                    ? function (input) { return nets.tinyYolov2.locateFaces(input, options); }
                                    : null));
                        if (!faceDetectionFunction) {
                            throw new Error('detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | MtcnnOptions | TinyYolov2Options');
                        }
                        return [2 /*return*/, faceDetectionFunction(input)];
                }
            });
        });
    };
    DetectAllFacesTask.prototype.runAndExtendWithFaceDetections = function () {
        var _this = this;
        return new Promise(function (res) { return tslib_es6_awaiter(_this, void 0, void 0, function () {
            var detections;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.run()];
                    case 1:
                        detections = _a.sent();
                        return [2 /*return*/, res(detections.map(function (detection) { return extendWithFaceDetection({}, detection); }))];
                }
            });
        }); });
    };
    DetectAllFacesTask.prototype.withFaceLandmarks = function (useTinyLandmarkNet) {
        if (useTinyLandmarkNet === void 0) { useTinyLandmarkNet = false; }
        return new DetectAllFaceLandmarksTask(this.runAndExtendWithFaceDetections(), this.input, useTinyLandmarkNet);
    };
    DetectAllFacesTask.prototype.withFaceExpressions = function () {
        return new PredictAllFaceExpressionsTask(this.runAndExtendWithFaceDetections(), this.input);
    };
    DetectAllFacesTask.prototype.withAgeAndGender = function () {
        return new PredictAllAgeAndGenderTask(this.runAndExtendWithFaceDetections(), this.input);
    };
    return DetectAllFacesTask;
}(DetectFacesTaskBase));

var DetectSingleFaceTask = /** @class */ (function (_super) {
    __extends(DetectSingleFaceTask, _super);
    function DetectSingleFaceTask() {
        return _super !== null && _super.apply(this, arguments) || this;
    }
    DetectSingleFaceTask.prototype.run = function () {
        return tslib_es6_awaiter(this, void 0, void 0, function () {
            var faceDetections, faceDetectionWithHighestScore;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, new DetectFacesTasks_DetectAllFacesTask(this.input, this.options)];
                    case 1:
                        faceDetections = _a.sent();
                        faceDetectionWithHighestScore = faceDetections[0];
                        faceDetections.forEach(function (faceDetection) {
                            if (faceDetection.score > faceDetectionWithHighestScore.score) {
                                faceDetectionWithHighestScore = faceDetection;
                            }
                        });
                        return [2 /*return*/, faceDetectionWithHighestScore];
                }
            });
        });
    };
    DetectSingleFaceTask.prototype.runAndExtendWithFaceDetection = function () {
        var _this = this;
        return new Promise(function (res) { return tslib_es6_awaiter(_this, void 0, void 0, function () {
            var detection;
            return tslib_es6_generator(this, function (_a) {
                switch (_a.label) {
                    case 0: return [4 /*yield*/, this.run()];
                    case 1:
                        detection = _a.sent();
                        return [2 /*return*/, res(detection ? extendWithFaceDetection({}, detection) : undefined)];
                }
            });
        }); });
    };
    DetectSingleFaceTask.prototype.withFaceLandmarks = function (useTinyLandmarkNet) {
        if (useTinyLandmarkNet === void 0) { useTinyLandmarkNet = false; }
        return new DetectSingleFaceLandmarksTask(this.runAndExtendWithFaceDetection(), this.input, useTinyLandmarkNet);
    };
    DetectSingleFaceTask.prototype.withFaceExpressions = function () {
        return new PredictSingleFaceExpressionsTask(this.runAndExtendWithFaceDetection(), this.input);
    };
    DetectSingleFaceTask.prototype.withAgeAndGender = function () {
        return new PredictSingleAgeAndGenderTask(this.runAndExtendWithFaceDetection(), this.input);
    };
    return DetectSingleFaceTask;
}(DetectFacesTaskBase));

//# sourceMappingURL=DetectFacesTasks.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/detectFaces.js


function detectSingleFace(input, options) {
    if (options === void 0) { options = new SsdMobilenetv1Options_SsdMobilenetv1Options(); }
    return new DetectSingleFaceTask(input, options);
}
function detectFaces_detectAllFaces(input, options) {
    if (options === void 0) { options = new SsdMobilenetv1Options(); }
    return new DetectAllFacesTask(input, options);
}
//# sourceMappingURL=detectFaces.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/allFaces.js





// export allFaces API for backward compatibility
function allFacesSsdMobilenetv1(input, minConfidence) {
    return __awaiter(this, void 0, void 0, function () {
        return __generator(this, function (_a) {
            switch (_a.label) {
                case 0:
                    console.warn('allFacesSsdMobilenetv1 is deprecated and will be removed soon, use the high level api instead');
                    return [4 /*yield*/, detectAllFaces(input, new SsdMobilenetv1Options(minConfidence ? { minConfidence: minConfidence } : {}))
                            .withFaceLandmarks()
                            .withFaceDescriptors()];
                case 1: return [2 /*return*/, _a.sent()];
            }
        });
    });
}
function allFacesTinyYolov2(input, forwardParams) {
    if (forwardParams === void 0) { forwardParams = {}; }
    return __awaiter(this, void 0, void 0, function () {
        return __generator(this, function (_a) {
            switch (_a.label) {
                case 0:
                    console.warn('allFacesTinyYolov2 is deprecated and will be removed soon, use the high level api instead');
                    return [4 /*yield*/, detectAllFaces(input, new TinyYolov2Options(forwardParams))
                            .withFaceLandmarks()
                            .withFaceDescriptors()];
                case 1: return [2 /*return*/, _a.sent()];
            }
        });
    });
}
function allFacesMtcnn(input, forwardParams) {
    if (forwardParams === void 0) { forwardParams = {}; }
    return __awaiter(this, void 0, void 0, function () {
        return __generator(this, function (_a) {
            switch (_a.label) {
                case 0:
                    console.warn('allFacesMtcnn is deprecated and will be removed soon, use the high level api instead');
                    return [4 /*yield*/, detectAllFaces(input, new MtcnnOptions(forwardParams))
                            .withFaceLandmarks()
                            .withFaceDescriptors()];
                case 1: return [2 /*return*/, _a.sent()];
            }
        });
    });
}
var allFaces = (/* unused pure expression or super */ null && (allFacesSsdMobilenetv1));
//# sourceMappingURL=allFaces.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/euclideanDistance.js
function euclideanDistance(arr1, arr2) {
    if (arr1.length !== arr2.length)
        throw new Error('euclideanDistance: arr1.length !== arr2.length');
    var desc1 = Array.from(arr1);
    var desc2 = Array.from(arr2);
    return Math.sqrt(desc1
        .map(function (val, i) { return val - desc2[i]; })
        .reduce(function (res, diff) { return res + Math.pow(diff, 2); }, 0));
}
//# sourceMappingURL=euclideanDistance.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/FaceMatcher.js



var FaceMatcher = /** @class */ (function () {
    function FaceMatcher(inputs, distanceThreshold) {
        if (distanceThreshold === void 0) { distanceThreshold = 0.6; }
        this._distanceThreshold = distanceThreshold;
        var inputArray = Array.isArray(inputs) ? inputs : [inputs];
        if (!inputArray.length) {
            throw new Error("FaceRecognizer.constructor - expected atleast one input");
        }
        var count = 1;
        var createUniqueLabel = function () { return "person " + count++; };
        this._labeledDescriptors = inputArray.map(function (desc) {
            if (desc instanceof LabeledFaceDescriptors) {
                return desc;
            }
            if (desc instanceof Float32Array) {
                return new LabeledFaceDescriptors(createUniqueLabel(), [desc]);
            }
            if (desc.descriptor && desc.descriptor instanceof Float32Array) {
                return new LabeledFaceDescriptors(createUniqueLabel(), [desc.descriptor]);
            }
            throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor<any> | Float32Array | Array<LabeledFaceDescriptors | WithFaceDescriptor<any> | Float32Array>");
        });
    }
    Object.defineProperty(FaceMatcher.prototype, "labeledDescriptors", {
        get: function () { return this._labeledDescriptors; },
        enumerable: true,
        configurable: true
    });
    Object.defineProperty(FaceMatcher.prototype, "distanceThreshold", {
        get: function () { return this._distanceThreshold; },
        enumerable: true,
        configurable: true
    });
    FaceMatcher.prototype.computeMeanDistance = function (queryDescriptor, descriptors) {
        return descriptors
            .map(function (d) { return euclideanDistance(d, queryDescriptor); })
            .reduce(function (d1, d2) { return d1 + d2; }, 0)
            / (descriptors.length || 1);
    };
    FaceMatcher.prototype.matchDescriptor = function (queryDescriptor) {
        var _this = this;
        return this.labeledDescriptors
            .map(function (_a) {
            var descriptors = _a.descriptors, label = _a.label;
            return new FaceMatch(label, _this.computeMeanDistance(queryDescriptor, descriptors));
        })
            .reduce(function (best, curr) { return best.distance < curr.distance ? best : curr; });
    };
    FaceMatcher.prototype.findBestMatch = function (queryDescriptor) {
        var bestMatch = this.matchDescriptor(queryDescriptor);
        return bestMatch.distance < this.distanceThreshold
            ? bestMatch
            : new FaceMatch('unknown', bestMatch.distance);
    };
    FaceMatcher.prototype.toJSON = function () {
        return {
            distanceThreshold: this.distanceThreshold,
            labeledDescriptors: this.labeledDescriptors.map(function (ld) { return ld.toJSON(); })
        };
    };
    FaceMatcher.fromJSON = function (json) {
        var labeledDescriptors = json.labeledDescriptors
            .map(function (ld) { return LabeledFaceDescriptors.fromJSON(ld); });
        return new FaceMatcher(labeledDescriptors, json.distanceThreshold);
    };
    return FaceMatcher;
}());

//# sourceMappingURL=FaceMatcher.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/globalApi/index.js








//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/mtcnn/index.js



function createMtcnn(weights) {
    var net = new Mtcnn();
    net.extractWeights(weights);
    return net;
}
//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/tinyFaceDetector/index.js



function createTinyFaceDetector(weights) {
    var net = new TinyFaceDetector();
    net.extractWeights(weights);
    return net;
}
//# sourceMappingURL=index.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/resizeResults.js





function resizeResults(results, dimensions) {
    var _a = new Dimensions(dimensions.width, dimensions.height), width = _a.width, height = _a.height;
    if (width <= 0 || height <= 0) {
        throw new Error("resizeResults - invalid dimensions: " + JSON.stringify({ width: width, height: height }));
    }
    if (Array.isArray(results)) {
        return results.map(function (obj) { return resizeResults(obj, { width: width, height: height }); });
    }
    if (isWithFaceLandmarks(results)) {
        var resizedDetection = results.detection.forSize(width, height);
        var resizedLandmarks = results.unshiftedLandmarks.forSize(resizedDetection.box.width, resizedDetection.box.height);
        return extendWithFaceLandmarks(extendWithFaceDetection(results, resizedDetection), resizedLandmarks);
    }
    if (isWithFaceDetection(results)) {
        return extendWithFaceDetection(results, results.detection.forSize(width, height));
    }
    if (results instanceof FaceLandmarks || results instanceof FaceDetection) {
        return results.forSize(width, height);
    }
    return results;
}
//# sourceMappingURL=resizeResults.js.map
;// CONCATENATED MODULE: ./node_modules/_checkapi.js@0.1.2@checkapi.js/build/es6/index.js





















//# sourceMappingURL=index.js.map

/***/ })

}]);