diff --git a/vendor/pdfjs/annotation_layer_builder.css b/vendor/pdfjs/annotation_layer_builder.css
deleted file mode 100644
index c1c2a8d..0000000
--- a/vendor/pdfjs/annotation_layer_builder.css
+++ /dev/null
@@ -1,407 +0,0 @@
-/* Copyright 2014 Mozilla Foundation
- *
- * 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.
- */
-
-.annotationLayer {
-  color-scheme: only light;
-
-  --annotation-unfocused-field-background: url("data:image/svg+xml;charset=UTF-8,<svg width='1px' height='1px' xmlns='http://www.w3.org/2000/svg'><rect width='100%' height='100%' style='fill:rgba(0, 54, 255, 0.13);'/></svg>");
-  --input-focus-border-color: Highlight;
-  --input-focus-outline: 1px solid Canvas;
-  --input-unfocused-border-color: transparent;
-  --input-disabled-border-color: transparent;
-  --input-hover-border-color: black;
-  --link-outline: none;
-
-  @media screen and (forced-colors: active) {
-    --input-focus-border-color: CanvasText;
-    --input-unfocused-border-color: ActiveText;
-    --input-disabled-border-color: GrayText;
-    --input-hover-border-color: Highlight;
-    --link-outline: 1.5px solid LinkText;
-
-    .textWidgetAnnotation :is(input, textarea):required,
-    .choiceWidgetAnnotation select:required,
-    .buttonWidgetAnnotation:is(.checkBox, .radioButton) input:required {
-      outline: 1.5px solid selectedItem;
-    }
-
-    .linkAnnotation {
-      outline: var(--link-outline);
-
-      &:hover {
-        backdrop-filter: var(--hcm-highlight-filter);
-      }
-
-      & > a:hover {
-        opacity: 0 !important;
-        background: none !important;
-        box-shadow: none;
-      }
-    }
-
-    .popupAnnotation .popup {
-      outline: calc(1.5px * var(--total-scale-factor)) solid CanvasText !important;
-      background-color: ButtonFace !important;
-      color: ButtonText !important;
-    }
-
-    .highlightArea:hover::after {
-      position: absolute;
-      top: 0;
-      left: 0;
-      width: 100%;
-      height: 100%;
-      backdrop-filter: var(--hcm-highlight-filter);
-      content: "";
-      pointer-events: none;
-    }
-
-    .popupAnnotation.focused .popup {
-      outline: calc(3px * var(--total-scale-factor)) solid Highlight !important;
-    }
-  }
-
-  position: absolute;
-  top: 0;
-  left: 0;
-  pointer-events: none;
-  transform-origin: 0 0;
-
-  &[data-main-rotation="90"] .norotate {
-    transform: rotate(270deg) translateX(-100%);
-  }
-  &[data-main-rotation="180"] .norotate {
-    transform: rotate(180deg) translate(-100%, -100%);
-  }
-  &[data-main-rotation="270"] .norotate {
-    transform: rotate(90deg) translateY(-100%);
-  }
-
-  &.disabled {
-    section,
-    .popup {
-      pointer-events: none;
-    }
-  }
-
-  .annotationContent {
-    position: absolute;
-    width: 100%;
-    height: 100%;
-    pointer-events: none;
-
-    &.freetext {
-      background: transparent;
-      border: none;
-      inset: 0;
-      overflow: visible;
-      white-space: nowrap;
-      font: 10px sans-serif;
-      line-height: 1.35;
-    }
-  }
-
-  section {
-    position: absolute;
-    text-align: initial;
-    pointer-events: auto;
-    box-sizing: border-box;
-    transform-origin: 0 0;
-    user-select: none;
-
-    &:has(div.annotationContent) {
-      canvas.annotationContent {
-        display: none;
-      }
-    }
-
-    .overlaidText {
-      position: absolute;
-      top: 0;
-      left: 0;
-      width: 0;
-      height: 0;
-      display: inline-block;
-      overflow: hidden;
-    }
-  }
-
-  .textLayer.selecting ~ & section {
-    pointer-events: none;
-  }
-
-  :is(.linkAnnotation, .buttonWidgetAnnotation.pushButton) > a {
-    position: absolute;
-    font-size: 1em;
-    top: 0;
-    left: 0;
-    width: 100%;
-    height: 100%;
-  }
-
-  :is(.linkAnnotation, .buttonWidgetAnnotation.pushButton):not(.hasBorder)
-    > a:hover {
-    opacity: 0.2;
-    background-color: rgb(255 255 0);
-  }
-
-  .linkAnnotation.hasBorder:hover {
-    background-color: rgb(255 255 0 / 0.2);
-  }
-
-  .hasBorder {
-    background-size: 100% 100%;
-  }
-
-  .textAnnotation img {
-    position: absolute;
-    cursor: pointer;
-    width: 100%;
-    height: 100%;
-    top: 0;
-    left: 0;
-  }
-
-  .textWidgetAnnotation :is(input, textarea),
-  .choiceWidgetAnnotation select,
-  .buttonWidgetAnnotation:is(.checkBox, .radioButton) input {
-    background-image: var(--annotation-unfocused-field-background);
-    border: 2px solid var(--input-unfocused-border-color);
-    box-sizing: border-box;
-    font: calc(9px * var(--total-scale-factor)) sans-serif;
-    height: 100%;
-    margin: 0;
-    vertical-align: top;
-    width: 100%;
-  }
-
-  .textWidgetAnnotation :is(input, textarea):required,
-  .choiceWidgetAnnotation select:required,
-  .buttonWidgetAnnotation:is(.checkBox, .radioButton) input:required {
-    outline: 1.5px solid red;
-  }
-
-  .choiceWidgetAnnotation select option {
-    padding: 0;
-  }
-
-  .buttonWidgetAnnotation.radioButton input {
-    border-radius: 50%;
-  }
-
-  .textWidgetAnnotation textarea {
-    resize: none;
-  }
-
-  .textWidgetAnnotation :is(input, textarea)[disabled],
-  .choiceWidgetAnnotation select[disabled],
-  .buttonWidgetAnnotation:is(.checkBox, .radioButton) input[disabled] {
-    background: none;
-    border: 2px solid var(--input-disabled-border-color);
-    cursor: not-allowed;
-  }
-
-  .textWidgetAnnotation :is(input, textarea):hover,
-  .choiceWidgetAnnotation select:hover,
-  .buttonWidgetAnnotation:is(.checkBox, .radioButton) input:hover {
-    border: 2px solid var(--input-hover-border-color);
-  }
-  .textWidgetAnnotation :is(input, textarea):hover,
-  .choiceWidgetAnnotation select:hover,
-  .buttonWidgetAnnotation.checkBox input:hover {
-    border-radius: 2px;
-  }
-
-  .textWidgetAnnotation :is(input, textarea):focus,
-  .choiceWidgetAnnotation select:focus {
-    background: none;
-    border: 2px solid var(--input-focus-border-color);
-    border-radius: 2px;
-    outline: var(--input-focus-outline);
-  }
-
-  .buttonWidgetAnnotation:is(.checkBox, .radioButton) :focus {
-    background-image: none;
-    background-color: transparent;
-  }
-
-  .buttonWidgetAnnotation.checkBox :focus {
-    border: 2px solid var(--input-focus-border-color);
-    border-radius: 2px;
-    outline: var(--input-focus-outline);
-  }
-
-  .buttonWidgetAnnotation.radioButton :focus {
-    border: 2px solid var(--input-focus-border-color);
-    outline: var(--input-focus-outline);
-  }
-
-  .buttonWidgetAnnotation.checkBox input:checked::before,
-  .buttonWidgetAnnotation.checkBox input:checked::after,
-  .buttonWidgetAnnotation.radioButton input:checked::before {
-    background-color: CanvasText;
-    content: "";
-    display: block;
-    position: absolute;
-  }
-
-  .buttonWidgetAnnotation.checkBox input:checked::before,
-  .buttonWidgetAnnotation.checkBox input:checked::after {
-    height: 80%;
-    left: 45%;
-    width: 1px;
-  }
-
-  .buttonWidgetAnnotation.checkBox input:checked::before {
-    transform: rotate(45deg);
-  }
-
-  .buttonWidgetAnnotation.checkBox input:checked::after {
-    transform: rotate(-45deg);
-  }
-
-  .buttonWidgetAnnotation.radioButton input:checked::before {
-    border-radius: 50%;
-    height: 50%;
-    left: 25%;
-    top: 25%;
-    width: 50%;
-  }
-
-  .textWidgetAnnotation input.comb {
-    font-family: monospace;
-    padding-left: 2px;
-    padding-right: 0;
-  }
-
-  .textWidgetAnnotation input.comb:focus {
-    /*
-     * Letter spacing is placed on the right side of each character. Hence, the
-     * letter spacing of the last character may be placed outside the visible
-     * area, causing horizontal scrolling. We avoid this by extending the width
-     * when the element has focus and revert this when it loses focus.
-     */
-    width: 103%;
-  }
-
-  .buttonWidgetAnnotation:is(.checkBox, .radioButton) input {
-    appearance: none;
-  }
-
-  .fileAttachmentAnnotation .popupTriggerArea {
-    height: 100%;
-    width: 100%;
-  }
-
-  .popupAnnotation {
-    position: absolute;
-    font-size: calc(9px * var(--total-scale-factor));
-    pointer-events: none;
-    width: max-content;
-    max-width: 45%;
-    height: auto;
-  }
-
-  .popup {
-    background-color: rgb(255 255 153);
-    color: black;
-    box-shadow: 0 calc(2px * var(--total-scale-factor))
-      calc(5px * var(--total-scale-factor)) rgb(136 136 136);
-    border-radius: calc(2px * var(--total-scale-factor));
-    outline: 1.5px solid rgb(255 255 74);
-    padding: calc(6px * var(--total-scale-factor));
-    cursor: pointer;
-    font: message-box;
-    white-space: normal;
-    word-wrap: break-word;
-    pointer-events: auto;
-    user-select: text;
-  }
-
-  .popupAnnotation.focused .popup {
-    outline-width: 3px;
-  }
-
-  .popup * {
-    font-size: calc(9px * var(--total-scale-factor));
-  }
-
-  .popup > .header {
-    display: inline-block;
-  }
-
-  .popup > .header > .title {
-    display: inline;
-    font-weight: bold;
-  }
-
-  .popup > .header .popupDate {
-    display: inline-block;
-    margin-left: calc(5px * var(--total-scale-factor));
-    width: fit-content;
-  }
-
-  .popupContent {
-    border-top: 1px solid rgb(51 51 51);
-    margin-top: calc(2px * var(--total-scale-factor));
-    padding-top: calc(2px * var(--total-scale-factor));
-  }
-
-  .richText > * {
-    white-space: pre-wrap;
-    font-size: calc(9px * var(--total-scale-factor));
-  }
-
-  .popupTriggerArea {
-    cursor: pointer;
-
-    &:hover {
-      backdrop-filter: var(--hcm-highlight-filter);
-    }
-  }
-
-  section svg {
-    position: absolute;
-    width: 100%;
-    height: 100%;
-    top: 0;
-    left: 0;
-  }
-
-  .annotationTextContent {
-    position: absolute;
-    width: 100%;
-    height: 100%;
-    opacity: 0;
-    color: transparent;
-    user-select: none;
-    pointer-events: none;
-
-    span {
-      width: 100%;
-      display: inline-block;
-    }
-  }
-
-  svg.quadrilateralsContainer {
-    contain: strict;
-    width: 0;
-    height: 0;
-    position: absolute;
-    top: 0;
-    left: 0;
-    z-index: -1;
-  }
-}
diff --git a/vendor/pdfjs/text_layer_builder.css b/vendor/pdfjs/text_layer_builder.css
deleted file mode 100644
index a2eb5ad..0000000
--- a/vendor/pdfjs/text_layer_builder.css
+++ /dev/null
@@ -1,144 +0,0 @@
-/* Copyright 2014 Mozilla Foundation
- *
- * 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.
- */
-
-.textLayer {
-  color-scheme: only light;
-
-  position: absolute;
-  text-align: initial;
-  inset: 0;
-  overflow: clip;
-  opacity: 1;
-  line-height: 1;
-  text-size-adjust: none;
-  forced-color-adjust: none;
-  transform-origin: 0 0;
-  caret-color: CanvasText;
-  z-index: 0;
-
-  &.highlighting {
-    touch-action: none;
-  }
-
-  :is(span, br) {
-    color: transparent;
-    position: absolute;
-    white-space: pre;
-    cursor: text;
-    transform-origin: 0% 0%;
-  }
-
-  /* We multiply the font size by --min-font-size, and then scale the text
-   * elements by 1/--min-font-size. This allows us to effectively ignore the
-   * minimum font size enforced by the browser, so that the text layer <span>s
-   * can always match the size of the text in the canvas. */
-  --min-font-size: 1;
-  --text-scale-factor: calc(var(--total-scale-factor) * var(--min-font-size));
-  --min-font-size-inv: calc(1 / var(--min-font-size));
-
-  > :not(.markedContent),
-  .markedContent span:not(.markedContent) {
-    z-index: 1;
-
-    --font-height: 0; /* set by text_layer.js */
-    font-size: calc(var(--text-scale-factor) * var(--font-height));
-
-    --scale-x: 1;
-    --rotate: 0deg;
-    transform: rotate(var(--rotate)) scaleX(var(--scale-x))
-      scale(var(--min-font-size-inv));
-  }
-
-  .markedContent {
-    display: contents;
-  }
-
-  span[role="img"] {
-    user-select: none;
-    cursor: default;
-  }
-
-  .highlight {
-    --highlight-bg-color: rgb(180 0 170 / 0.25);
-    --highlight-selected-bg-color: rgb(0 100 0 / 0.25);
-    --highlight-backdrop-filter: none;
-    --highlight-selected-backdrop-filter: none;
-
-    @media screen and (forced-colors: active) {
-      --highlight-bg-color: transparent;
-      --highlight-selected-bg-color: transparent;
-      --highlight-backdrop-filter: var(--hcm-highlight-filter);
-      --highlight-selected-backdrop-filter: var(
-        --hcm-highlight-selected-filter
-      );
-    }
-
-    margin: -1px;
-    padding: 1px;
-    background-color: var(--highlight-bg-color);
-    backdrop-filter: var(--highlight-backdrop-filter);
-    border-radius: 4px;
-
-    &.appended {
-      position: initial;
-    }
-
-    &.begin {
-      border-radius: 4px 0 0 4px;
-    }
-
-    &.end {
-      border-radius: 0 4px 4px 0;
-    }
-
-    &.middle {
-      border-radius: 0;
-    }
-
-    &.selected {
-      background-color: var(--highlight-selected-bg-color);
-      backdrop-filter: var(--highlight-selected-backdrop-filter);
-    }
-  }
-
-  ::selection {
-    /* stylelint-disable declaration-block-no-duplicate-properties */
-    /*#if !MOZCENTRAL*/
-    background: rgba(0 0 255 / 0.25);
-    /*#endif*/
-    /* stylelint-enable declaration-block-no-duplicate-properties */
-    background: color-mix(in srgb, AccentColor, transparent 75%);
-  }
-
-  /* Avoids https://github.com/mozilla/pdf.js/issues/13840 in Chrome */
-  /*#if !MOZCENTRAL*/
-  br::selection {
-    background: transparent;
-  }
-  /*#endif*/
-
-  .endOfContent {
-    display: block;
-    position: absolute;
-    inset: 100% 0 0;
-    z-index: 0;
-    cursor: default;
-    user-select: none;
-  }
-
-  &.selecting .endOfContent {
-    top: 0;
-  }
-}
diff --git a/vendor/tfjs/tf.min.js b/vendor/tfjs/tf.min.js
index e3c798d..6e834f9 100644
--- a/vendor/tfjs/tf.min.js
+++ b/vendor/tfjs/tf.min.js
@@ -1,6 +1,6 @@
 /**
  * @license
- * Copyright 2018 Google LLC. All Rights Reserved.
+ * Copyright 2024 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
@@ -14,35 +14,5 @@
  * limitations under the License.
  * =============================================================================
  */
-import '@tensorflow/tfjs-core';
-// tslint:disable-next-line: no-imports-from-dist
-import '@tensorflow/tfjs-core/dist/register_all_gradients';
-// tslint:disable-next-line: no-imports-from-dist
-import '@tensorflow/tfjs-core/dist/public/chained_ops/register_all_chained_ops';
-export * from '@tensorflow/tfjs-core';
-export * from '@tensorflow/tfjs-layers';
-export * from '@tensorflow/tfjs-converter';
-// Export data api as tf.data
-import * as data from '@tensorflow/tfjs-data';
-export { data };
-// Import and register backends.
-export * from '@tensorflow/tfjs-backend-cpu';
-export * from '@tensorflow/tfjs-backend-webgl';
-// Import versions of all sub-packages.
-import { version_core } from '@tensorflow/tfjs-core';
-import { version_cpu } from '@tensorflow/tfjs-backend-cpu';
-import { version_webgl } from '@tensorflow/tfjs-backend-webgl';
-import { version_data } from '@tensorflow/tfjs-data';
-import { version_layers } from '@tensorflow/tfjs-layers';
-import { version_converter } from '@tensorflow/tfjs-converter';
-import { version as version_union } from './version';
-export const version = {
-    'tfjs-core': version_core,
-    'tfjs-backend-cpu': version_cpu,
-    'tfjs-backend-webgl': version_webgl,
-    'tfjs-data': version_data,
-    'tfjs-layers': version_layers,
-    'tfjs-converter': version_converter,
-    'tfjs': version_union
-};
-//# sourceMappingURL=index.js.map
\ No newline at end of file
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).tf=e.tf||{})}(this,(function(e){"use strict";function t(e,t){return t.forEach((function(t){t&&"string"!=typeof t&&!Array.isArray(t)&&Object.keys(t).forEach((function(n){if("default"!==n&&!(n in e)){var r=Object.getOwnPropertyDescriptor(t,n);Object.defineProperty(e,n,r.get?r:{enumerable:!0,get:function(){return t[n]}})}}))})),e}var n="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{};function r(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}function a(e){var t,n;function r(t,n){try{var o=e[t](n),s=o.value,u=s instanceof i;Promise.resolve(u?s.v:s).then((function(n){if(u){var i="return"===t?"return":"next";if(!s.k||n.done)return 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n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")}},{key:"moveData",value:function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t),i=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,i),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}},{key:"tidy",value:function(e,t){var n,r=this,a=null;if(null==t){if("function"!=typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!=typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");a=e}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))}},{key:"scopedRun",value:function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}}},{key:"nextTensorId",value:function(){return e.nextTensorId++}},{key:"nextVariableId",value:function(){return e.nextVariableId++}},{key:"clone",value:function(e){var t=E5.runKernel(W1,{x:e}),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){var t={x:e},n={dtype:"float32"};return E5.runKernel(X0,t,n)}}}),[],{}),t}},{key:"runKernel",value:function(e,t,n){if(null==this.backendName&&this.backend,!(null!=W3(e,this.backendName)))throw new Error("Kernel '".concat(e,"' not registered for backend '").concat(this.backendName,"'"));return this.runKernelFunc({kernelName:e,inputs:t,attrs:n})}},{key:"shouldCheckForMemLeaks",value:function(){return this.ENV.getBool("IS_TEST")}},{key:"checkKernelForMemLeak",value:function(e,t,n){var r=this.backend.numDataIds(),a=0;n.forEach((function(e){a+="complex64"===e.dtype?3:1}));var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-a-i;if(o>0)throw new Error("Backend '".concat(this.backendName,"' has an internal memory leak ")+"(".concat(o," data ids) after running '").concat(e,"'"))}},{key:"runKernelFunc",value:function(e){var t,n,r,a=this,i=[],o=this.isTapeOn(),s=this.state.numBytes,u=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0),null==this.backendName&&this.backend;var c=k5(e)?e.kernelName:null!=this.state.activeScope?this.state.activeScope.name:"";if(k5(e)){var l=e.kernelName,h=e.inputs,p=e.attrs;null==this.backendName&&this.backend;var f=W3(l,this.backendName);F$(null!=f,(function(){return"Cannot find registered kernel '".concat(l,"' for backend '").concat(a.backendName,"'")})),n=function(){var e=a.backend.numDataIds();r=f.kernelFunc({inputs:h,attrs:p,backend:a.backend});var t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(o){var s=a.getTensorsForGradient(l,h,n);i=a.saveTensorsForBackwardMode(s)}return n}}else{var d=e.forwardFunc,v=function(e){o&&(i=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return d(a.backend,v)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t),t}}var m,g=e.inputs,y=e.attrs,b=k5(e)?null:e.backwardsFunc;return this.scopedRun((function(){return a.state.kernelDepth++}),(function(){return a.state.kernelDepth--}),(function(){a.ENV.getBool("DEBUG")||a.state.profiling?(m=a.profiler.profileKernel(c,g,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(m),t=m.outputs):t=n()})),o&&this.addTapeNode(c,g,t,b,i,y),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(g).map((function(e){return null!=g[e]?g[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:m.timeMs,extraInfo:m.extraInfo}),Array.isArray(r)?t:t[0]}},{key:"saveTensorsForBackwardMode",value:function(e){var t=this,n=e.map((function(e){return t.keep(t.clone(e))}));return n}},{key:"getTensorsForGradient",value:function(e,t,n){var r=U3(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(F$(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),a=Object.keys(t).map((function(e){return t[e]}))):a=i.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return a.concat(s)}return[]}},{key:"makeTensor",value:function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=e;"string"===n&&$$(e[0])&&(a=e.map((function(e){return B4(e)})));var i=r.write(a,t,n),o=new n5(t,n,i,this.nextTensorId());if(this.trackTensor(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=Q$(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o}},{key:"makeTensorFromDataId",value:function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)}},{key:"makeTensorFromTensorInfo",value:function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,i=new n5(r,a,n,this.nextTensorId());return this.trackTensor(i,t),i}},{key:"makeVariable",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new c5(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name ".concat(a.name," was already registered"));return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a}},{key:"trackTensor",value:function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*Z$(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof c5||this.track(e)}},{key:"incRef",value:function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)}},{key:"removeDataId",value:function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)}},{key:"disposeTensor",value:function(e){if(this.state.tensorInfo.has(e.dataId)){var t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){var n=e.size*Z$(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}}},{key:"disposeVariables",value:function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}}},{key:"disposeVariable",value:function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]}},{key:"memory",value:function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}},{key:"profile",value:(n=c(o().mark((function e(t){var n,r,a,i,s;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,r=this.state.numTensors,this.state.activeProfile.kernels=[],e.next=6,t();case 6:this.state.activeProfile.result=e.sent,this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,T(this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot})))),this.state.activeProfile.newBytes=this.state.numBytes-n,this.state.activeProfile.newTensors=this.state.numTensors-r,a=O(this.state.activeProfile.kernels),e.prev=12,a.s();case 14:if((i=a.n()).done){e.next=24;break}return s=i.value,e.next=18,s.kernelTimeMs;case 18:return s.kernelTimeMs=e.sent,e.next=21,s.extraInfo;case 21:s.extraInfo=e.sent;case 22:e.next=14;break;case 24:e.next=29;break;case 26:e.prev=26,e.t0=e.catch(12),a.e(e.t0);case 29:return e.prev=29,a.f(),e.finish(29);case 32:return e.abrupt("return",this.state.activeProfile);case 33:case"end":return e.stop()}}),e,this,[[12,26,29,32]])}))),function(e){return n.apply(this,arguments)})},{key:"isTapeOn",value:function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth}},{key:"addTapeNode",value:function(e,t,n,r,a,i){var o=this,s={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},u=U3(e);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=l0(r.size,r.dtype);return o.makeTensor(a,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],a,i)}),this.state.activeTape.push(s)}},{key:"keep",value:function(e){return e.kept=!0,e}},{key:"startTape",value:function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++}},{key:"endTape",value:function(){this.state.gradientDepth--}},{key:"startScope",value:function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}},{key:"endScope",value:function(e){for(var t=this,n=y5(e),r=new Set(n.map((function(e){return e.id}))),a=0;a<this.state.activeScope.track.length;a++){var i=this.state.activeScope.track[a];i.kept||r.has(i.id)||i.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==o.id||t.track(e)}))}},{key:"gradients",value:function(e,t,n){var r=this,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];if(F$(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '".concat(n.dtype,"'"));var i=this.scopedRun((function(){return r.startTape()}),(function(){return r.endTape()}),(function(){return r.tidy("forward",e)}));F$(i instanceof n5,(function(){return"The result y returned by f() must be a tensor."}));var o=q4(this.state.activeTape,t,i);if(!a&&0===o.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var e={};e[i.id]=null==n?N5(i.shape):n,K4(e,o,(function(e){return r.tidy(e)}),C5);var a=t.map((function(t){return e[t.id]}));return 0===r.state.gradientDepth&&(r.state.activeTape.forEach((function(e){var t,n=O(e.saved);try{for(n.s();!(t=n.n()).done;){t.value.dispose()}}catch(e){n.e(e)}finally{n.f()}})),r.state.activeTape=null),{value:i,grads:a}}))}},{key:"customGrad",value:function(e){var t=this;return F$(r0(e),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n=arguments.length,r=new Array(n),a=0;a<n;a++)r[a]=arguments[a];var i;F$(r.every((function(e){return e instanceof n5})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var o={};r.forEach((function(e,t){o[t]=e}));var s=function(t,n){return F$((i=e.apply(void 0,[].concat(r,[n]))).value instanceof n5,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),F$(r0(i.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),i.value},u=function(e,t){var n=i.gradFunc(e,t),a=Array.isArray(n)?n:[n];F$(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(...)."})),F$(a.every((function(e){return e instanceof n5})),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."}));var o={};return a.forEach((function(e,t){o[t]=function(){return e}})),o};return t.runKernelFunc({forwardFunc:s,backwardsFunc:u,inputs:o})}}},{key:"readSync",value:function(e){return this.state.tensorInfo.get(e).backend.readSync(e)}},{key:"read",value:function(e){return this.state.tensorInfo.get(e).backend.read(e)}},{key:"readToGPU",value:function(e,t){return this.state.tensorInfo.get(e).backend.readToGPU(e,t)}},{key:"time",value:(t=c(o().mark((function e(t){var n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=z4(),e.next=3,this.backend.time(t);case 3:return(r=e.sent).wallMs=z4()-n,e.abrupt("return",r);case 6:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"track",value:function(e){return null!=this.state.activeScope&&(e.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(e)),e}},{key:"registeredVariables",get:function(){return this.state.registeredVariables}},{key:"reset",value:function(){for(var e in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new w5,this.registry)this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}}]),e}();function N5(e){var t=c0(L$(e),"float32");return E5.makeTensor(t,e,"float32")}function S5(){var t=w0();if(null==t._tfengine){var n=new y0(t);t._tfengine=new I5(n)}return function(t){e.ENV=t}(t._tfengine.ENV),e5=function(){return t._tfengine},t._tfengine}I5.nextTensorId=0,I5.nextVariableId=0;var T5,E5=S5();function C5(e,t){var n={a:e,b:t};return E5.runKernel(E0,n)}function A5(e){if(void 0!==T5)return T5;if(e||"undefined"!=typeof navigator&&null!=navigator){if(e||(e=navigator),"ReactNative"===e.product)return!0;var t=e.userAgent||e.vendor||("undefined"!=typeof window?window.opera:"");if(!t){var n=e;return n.userAgentData&&n.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( 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n=e;if(U4(e))return"string"===t?[]:[e.length];if(f5(e)){var r=e.channels||"RGBA";return[e.height,e.width*r.length]}if(d5(e))return[e.buffer.size/(null==t?4:Z$(t))];if(!Array.isArray(e))return[];for(var a=[];Array.isArray(n)||U4(n)&&"string"!==t;)a.push(n.length),n=n[0];return Array.isArray(e)&&k0().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&D5(e,a,[]),a}function D5(e,t,n){if(n=n||[],Array.isArray(e)||U4(e)){F$(t.length>0,(function(){return"Element arr[".concat(n.join("]["),"] should be a primitive, ")+"but is an array of ".concat(e.length," elements")})),F$(e.length===t[0],(function(){return"Element arr[".concat(n.join("]["),"] should have ").concat(t[0]," ")+"elements, but has ".concat(e.length," elements")}));for(var r=t.slice(1),a=0;a<e.length;++a)D5(e[a],r,n.concat(a))}else F$(0===t.length,(function(){return"Element arr[".concat(n.join("]["),"] is a primitive, ")+"but should be an array/TypedArray of ".concat(t[0]," elements")}))}function M5(e,t,n,r){if("string_or_numeric"!==e){if(null==e)throw new Error("Expected dtype cannot be null.");if("numeric"!==e&&e!==t||"numeric"===e&&"string"===t)throw new Error("Argument '".concat(n,"' passed to '").concat(r,"' must ")+"be ".concat(e," tensor, but got ").concat(t," tensor"))}}function L5(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"numeric";if(e instanceof r5())return M5(r,e.dtype,t,n),e;var a=n0(e);if("string"!==a&&["bool","int32","float32"].indexOf(r)>=0&&(a=r),M5(r,a,t,n),null==e||!U4(e)&&!Array.isArray(e)&&"number"!=typeof e&&"boolean"!=typeof e&&"string"!=typeof e){var i=null==e?"null":e.constructor.name;throw new Error("Argument '".concat(t,"' passed to '").concat(n,"' must be a ")+"Tensor or TensorLike, but got '".concat(i,"'"))}var o=F5(e,a);U4(e)||Array.isArray(e)||(e=[e]);var s=!0,u="string"!==a?L4(e,a):V4(e,[],s);return E5.makeTensor(u,o,a)}function z5(e,t,n){var r=arguments.length>3&&void 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E5.runKernel(F2,{},a)}var ute=B5({real_:function(e){var t={input:L5(e,"input","real")};return E5.runKernel(D2,t)}});var cte=B5({reciprocal_:function(e){var t={x:L5(e,"x","reciprocal")};return E5.runKernel(M2,t)}});var lte=B5({relu_:function(e){var t={x:L5(e,"x","relu")};return E5.runKernel(L2,t)}});var hte=B5({relu6_:function(e){var t={x:L5(e,"x","relu6")};return E5.runKernel(V2,t)}});var pte=B5({reverse_:function(e,t){var n={x:L5(e,"x","reverse")},r={dims:t};return E5.runKernel(G2,n,r)}});var fte=B5({reverse1d_:function(e){var t=L5(e,"x","reverse");return F$(1===t.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank ".concat(t.rank,".")})),pte(t,0)}});var dte=B5({reverse2d_:function(e,t){var n=L5(e,"x","reverse");return F$(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank ".concat(n.rank,".")})),pte(n,t)}});var vte=B5({reverse3d_:function(e,t){var n=L5(e,"x","reverse");return F$(3===n.rank,(function(){return"Error in reverse3D: x must 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supported");F$(4===l.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got "+"rank ".concat(l.rank,".")})),F$(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),F$(4===c.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but "+"got rank ".concat(u.rank,".")})),F$(1===c.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter "+" must be 1, but got ".concat(c.shape[0],".")})),F$(1===c.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise "+"filter must be 1, but got ".concat(c.shape[1],".")}));var p=u.shape[2],f=u.shape[3];F$(c.shape[2]===p*f,(function(){return"Error in separableConv2d: the third dimension of pointwise filter "+"must be ".concat(p*f,", ")+"but got ".concat(c.shape[2],".")}));var d=O7(l,u,r,a,o,i),v=1,m=b7(d,c,v,"valid",o);return 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kte.apply(this,arguments)};var Ite=B5({sign_:function(e){var t={x:L5(e,"x","sign")};return E5.runKernel(e3,t)}});var Nte=B5({sin_:function(e){var t={x:L5(e,"x","sin","float32")};return E5.runKernel(Q2,t)}});var Ste=B5({sinh_:function(e){var t={x:L5(e,"x","sinh")};return E5.runKernel($2,t)}});var Tte=B5({slice1d_:function(e,t,n){var r=L5(e,"x","slice1d");return F$(1===r.rank,(function(){return"slice1d expects a rank-1 tensor, but got a rank-".concat(r.rank," tensor")})),e7(r,[t],[n])}});var Ete=B5({slice2d_:function(e,t,n){var r=L5(e,"x","slice2d");return F$(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-".concat(r.rank," tensor")})),e7(r,t,n)}});var Cte=B5({slice3d_:function(e,t,n){var r=L5(e,"x","slice3d");return F$(3===r.rank,(function(){return"slice3d expects a rank-3 tensor, but got a rank-".concat(r.rank," tensor")})),e7(r,t,n)}});var Ate=B5({slice4d_:function(e,t,n){var r=L5(e,"x","slice4d");return F$(4===r.rank,(function(){return"slice4d expects a 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"+"Logits was rank ".concat(n.rank," and dim was ").concat(t));var r={logits:n},a={dim:t};return E5.runKernel(s3,r,a)}});var _te=B5({fft_:function(e){F$("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.fft() must be complex64 "+"but got ".concat(e.dtype,".")}));var t={input:e};return E5.runKernel(R1,t)}});var Ote=B5({ifft_:function(e){F$("complex64"===e.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 "+"but got ".concat(e.dtype,".")}));var t={input:e};return E5.runKernel(U1,t)}});var Fte=B5({irfft_:function(e){var t,n=e.shape[e.shape.length-1],r=e.size/n;if(n<=2){var a=X8(e,[r,n]);t=Ote(a)}else{var i=[r,2*(n-1)],o=X8(ute(e),[r,n]),s=X8(k9(e),[r,n]),u=pte(e7(o,[0,1],[r,n-2]),1),c=g8(pte(e7(s,[0,1],[r,n-2]),1),i9(-1)),l=Z8([o,u],1),h=Z8([s,c],1),p=X8(W5(l,h),[i[0],i[1]]);t=Ote(p)}if(t=ute(t),3===e.rank&&0!==e.shape[0]){var f=t,d=e.shape[0];t=X8(t,[d,t.shape[0]/d,t.shape[1]]),f.dispose()}return t}});var Dte=B5({split_:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,r=L5(e,"x","split"),a={x:r},i={numOrSizeSplits:t,axis:n};return E5.runKernel(o3,a,i)}});var Mte=B5({rfft_:function(e,t){F$("float32"===e.dtype,(function(){return"The dtype for rfft() must be real value but got ".concat(e.dtype)}));var n,r=e.shape[e.shape.length-1],a=e.size/r;if(null!=t&&t<r){var i=e.shape.map((function(e){return 0})),o=e.shape.map((function(e){return e}));o[e.shape.length-1]=t,n=e7(e,i,o),r=t}else if(null!=t&&t>r){var s=e.shape.map((function(e){return e}));s[e.shape.length-1]=t-r,n=Z8([e,$9(s)],e.shape.length-1),r=t}else n=e;var u=U7(n),c=X8(W5(n,u),[a,r]),l=_te(c),h=Math.floor(r/2)+1,p=ute(l),f=k9(l),d=Dte(p,[h,r-h],p.shape.length-1),v=Dte(f,[h,r-h],f.shape.length-1),m=n.shape.slice();return m[n.shape.length-1]=h,X8(W5(d[0],v[0]),m)}});var Lte=B5({squaredDifference_:function(e,t){var n=L5(e,"a","squaredDifference"),r=L5(t,"b","squaredDifference"),a=S(v5(n,r),2);n=a[0],r=a[1],z7(n.shape,r.shape);var i={a:n,b:r};return E5.runKernel(f3,i,{})}});var zte=B5({squeeze_:function(e,t){var n=L5(e,"x","squeeze","string_or_numeric");return X8(n,H$(n.shape,t).newShape)}});var Pte=B5({stack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=z5(e,"tensors","stack","string_or_numeric");F$(n.length>=1,(function(){return"Pass at least one tensor to tf.stack"})),n.length>0&&F$(t<=n[0].rank,(function(){return"Axis must be <= rank of the tensor"}));var r=n,a={axis:t};return E5.runKernel(S2,r,a)}});var Bte=B5({step_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","step"),r={x:n},a={alpha:t};return E5.runKernel(_3,r,a)}});var Wte=B5({stridedSlice_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0,i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:0,o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:0,s=arguments.length>7&&void 0!==arguments[7]?arguments[7]:0,u=arguments.length>8&&void 0!==arguments[8]?arguments[8]:0,c=L5(e,"x","stridedSlice","string_or_numeric"),l={x:c},h={begin:t,end:n,strides:r,beginMask:a,endMask:i,ellipsisMask:o,newAxisMask:s,shrinkAxisMask:u};return E5.runKernel(m3,l,h)}});var Ute=B5({tan_:function(e){var t={x:L5(e,"x","tan","float32")};return E5.runKernel(k3,t)}});function Vte(e,t){M$(e);var n=F5(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return U5(e,null,n,t)}function Gte(e,t,n){if(M$(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=F5(e,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return U5(e,t,r,n)}function jte(e,t,n){if(M$(e),null!=t&&3!==t.length)throw new Error("tensor3d() requires shape to have three numbers");var r=F5(e,n);if(3!==r.length&&1!==r.length)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return U5(e,t,r,n)}function Hte(e,t,n){if(M$(e),null!=t&&4!==t.length)throw new Error("tensor4d() requires shape to have four numbers");var r=F5(e,n);if(4!==r.length&&1!==r.length)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return U5(e,t,r,n)}function qte(e,t,n){if(M$(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=F5(e,n);if(5!==r.length&&1!==r.length)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return U5(e,t,r,n)}function Kte(e,t,n){if(M$(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=F5(e,n);if(6!==r.length&&1!==r.length)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return U5(e,t=t||r,r,n)}function Xte(e,t,n){var r=t.rank>1?t.shape[t.rank-1]:1,a=t.rank>1?t.rank-1:1,i="Must have updates.shape = indices.shape[:batchDim] + "+"shape[sliceDim:], got updates.shape: ".concat(n.shape)+", indices.shape: ".concat(t.shape,", shape: ").concat(e)+", sliceDim: ".concat(r,", and batchDim: ").concat(a,".");if(n.rank<a)throw new Error(i+" update.rank < ".concat(a,". "));if(e.length<r+(n.rank-a))throw new Error(i+" Output shape length < ".concat(r+(n.rank-a)));if(n.rank!==a+e.length-r)throw new Error(i+" update.rank != ".concat(a+e.length-r));for(var o=0;o<a;++o)if(n.shape[o]!==t.shape[o])throw new Error(i+" updates.shape[".concat(o,"] (").concat(n.shape[o],") != indices.shape[").concat(o,"] (").concat(t.shape[o],")."));for(var s=0;s<n.rank-a;++s)if(n.shape[s+a]!==e[s+r])throw new Error(i+" updates.shape[".concat(s+a,"] (").concat(n.shape[s+a],") != shape[").concat(s+a,"] (").concat(e[s+a],")"))}function Yte(e,t,n){if(t.rank<1)throw new Error("tf.scatterND() expects the indices to be rank 1 or higher,"+" but the rank was ".concat(t.rank,"."));if(e.rank<1)throw new Error("tf.scatterND() expects the updates to be rank 1 or higher,"+" but the rank was ".concat(e.rank,"."));if("int32"!==t.dtype)throw new Error("The dtype of 'indices' should be int32, but got dtype: ".concat(t.dtype));if(n.length<1)throw new Error("Output rank must be greater or equal to 1, but got shape: ".concat(n));if(0===n.length){if(0===t.size)throw new Error("Indices specified for empty output. indices shape: ".concat(t.shape));if(0===e.size)throw new Error("Updates specified for empty output. updates shape: ".concat(e.shape))}Xte(n,t,e)}function Jte(e,t,n){for(var r=t.shape.length,a=r>1?t.shape[r-1]:1,i=n.length,o=1,s=a;s<i;++s)o*=n[s];var u=a<1?1:a;return{sliceRank:a,numUpdates:L$(t.shape)/u,sliceSize:o,strides:[].concat(T(i0(n.slice(0,a))),[1]),outputSize:L$(n)}}var Zte={__proto__:null,calculateShapes:Jte,validateInput:Yte,validateUpdateShape:Xte};var Qte=B5({tensorScatterUpdate_:function(e,t,n){var r=L5(e,"tensor","tensorScatterupdate"),a=L5(t,"indices","tensorScatterupdate","int32"),i=L5(n,"updates","tensorScatterupdate");if(Yte(i,a,r.shape),r.dtype!==i.dtype)throw new Error("tensor and updates must have the same dtype, instead they are ".concat(r.dtype," and ").concat(i.dtype,"."));var o={tensor:r,indices:a,updates:i};return E5.runKernel(K2,o,{})}});var $te=B5({topk_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],r=L5(e,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var a=r.shape[r.shape.length-1];if(t<0)throw new Error("'k' passed to topk() must be >= 0 but got ".concat(t));if(t>a)throw new Error("'k' passed to topk() must be <= the last dimension (".concat(a,") ")+"but got ".concat(t));var i={x:r},o={k:t,sorted:n},s=E5.runKernel(N3,i,o),u=S(s,2),c=u[0],l=u[1];return{values:c,indices:l}}});var ene=B5({truncatedNormal_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,r=arguments.length>3?arguments[3]:void 0,a=arguments.length>4?arguments[4]:void 0;if(p0(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var i=new $ee(t,n,r,!0,a),o=l8(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}});var tne=B5({unique_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","unique","string_or_numeric");F$(n.rank>0,(function(){return"The input tensor must be at least 1D"}));var r={x:n},a={axis:t},i=E5.runKernel(E3,r,a),o=S(i,2),s=o[0],u=o[1];return{values:s,indices:u}}});var nne=B5({unsortedSegmentSum_:function(e,t,n){var r=L5(e,"x","unsortedSegmentSum"),a=L5(t,"segmentIds","unsortedSegmentSum","int32");F$(B$(n),(function(){return"numSegments must be of dtype int"}));var i={x:r,segmentIds:a},o={numSegments:n};return E5.runKernel(A3,i,o)}});var rne=B5({unstack_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=L5(e,"x","unstack","string_or_numeric");F$(t>=-n.shape.length&&t<n.shape.length,(function(){return"Axis = ".concat(t," is not in [-").concat(n.shape.length,", ").concat(n.shape.length,")")}));var r={value:n},a={axis:t};return E5.runKernel(C3,r,a)}});function ane(e,t){return q9(e,t,"right")}function ine(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;return E5.makeVariable(e,t,n,r)}function one(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);for(var a=l8(e,"int32"),i=l8([n.length,e.length],"int32"),o=0;o<n.length;o++){var s=a.indexToLoc(n[o]),u=o*e.length;i.values.set(s,u)}return i.toTensor()}function sne(){return(sne=c(o().mark((function e(t){var n,r,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return n=L5(t,"condition","whereAsync","bool"),e.next=3,n.data();case 3:return r=e.sent,a=one(n.shape,r),t!==n&&n.dispose(),e.abrupt("return",a);case 7:case"end":return e.stop()}}),e)})))).apply(this,arguments)}var une=function(e){return sne.apply(this,arguments)};function cne(){return cne=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(a=L5(t,"tensor","boolMask"),i=L5(n,"mask","boolMask","bool"),s=null==r?0:r,u=i.rank,c=a.shape,F$(u>0,(function(){return"mask cannot be scalar"})),D$(c.slice(s,s+u),i.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,h=s;h<s+u;h++)l*=c[h];return p=c.slice(0,s).concat([l],c.slice(s+u)),f=X8(a,p),d=X8(i,[-1]),e.next=14,une(d);case 14:return v=e.sent,m=zte(v,[1]),g=y9(f,m,s),t!==a&&a.dispose(),n!==i&&i.dispose(),m.dispose(),f.dispose(),d.dispose(),v.dispose(),e.abrupt("return",g);case 24:case"end":return e.stop()}}),e)}))),cne.apply(this,arguments)}var lne=function(e,t,n){return cne.apply(this,arguments)};var hne=B5({transpose_:function(e,t,n){var r=L5(e,"x","transpose");if(null==t&&(t=r.shape.map((function(e,t){return t})).reverse()),F$(r.rank===t.length,(function(){return"Error in transpose: rank of input ".concat(r.rank," ")+"must match length of perm ".concat(t,".")})),t.forEach((function(e){F$(e>=0&&e<r.rank,(function(){return"All entries in 'perm' must be between 0 and ".concat(r.rank-1)+" but got ".concat(t)}))})),r.rank<=1)return r.clone();var a={x:r},i={perm:t};return"complex64"===r.dtype?X5((function(){var e=ute(r),t=k9(r);return e=E5.runKernel(T3,{x:e},i),t=E5.runKernel(T3,{x:t},i),n&&(t=M9(t)),W5(e,t)})):E5.runKernel(T3,a,i)}});var pne=B5({movingAverage_:function(e,t,n,r){var a=!(arguments.length>4&&void 0!==arguments[4])||arguments[4],i=L5(e,"v","movingAverage"),o=L5(t,"x","movingAverage"),s=L5(n,"decay","movingAverage");m5(i,o),F$(P$(i.shape,o.shape),(function(){return"Shape mismatch in v and x"}));var u=i9(1),c=P9(u,s),l=g8(P9(o,i),c);if(a){F$(null!=r,(function(){return"When using zeroDebias: true, step is required."}));var h=L5(r,"step","movingAverage");l=m8(l,P9(u,a9(s,h)))}return d8(i,l)}});var fne=B5({scatterND_:function(e,t,n){p0(n);var r=L5(e,"indices","scatterND","int32"),a=L5(t,"updates","scatterND");Yte(a,r,n);var i={indices:r,updates:a},o={shape:n};return E5.runKernel(q2,i,o)}});function dne(e,t,n,r){if("int32"!==e.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type,"+" but the dtype was ".concat(e.dtype,"."));if(e.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix,"+" but got shape ".concat(e.shape,"."));var a=e.rank>0?e.shape[0]:1,i=e.rank>1?e.shape[1]:1;if(n.length!==i)throw new Error("outputShape has incorrect number of elements:,"+" ".concat(n.length,", should be: ").concat(i,"."));var o=t.size;if(0!==t.rank&&(1!==t.rank||o!==a))throw new Error("sparseValues has incorrect shape "+"".concat(t.shape,", should be [] or [").concat(a,"]"));if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}var vne=B5({sparseToDense_:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0;p0(n);var a=L5(e,"sparseIndices","sparseToDense","int32"),i=L5(t,"sparseValues","sparseToDense","string_or_numeric"),o=L5(r,"defaultValue","sparseToDense",i.dtype);dne(a,i,n,o);var s={sparseIndices:a,sparseValues:i,defaultValue:o},u={outputShape:n};return E5.runKernel(p3,s,u)}});var mne=B5({gatherND_:function(e,t){var n=L5(t,"indices","gatherND","int32"),r={params:L5(e,"x","gatherND","string_or_numeric"),indices:n};return E5.runKernel(z1,r)}});var gne=B5({dropout_:function(e,t,n,r){var a=L5(e,"x","dropout");if(F$("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be "+"scaled, but got a ".concat(a.dtype," tensor instead.")})),F$(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got ".concat(t,".")})),0===t)return e instanceof n5?a.clone():a;var i=function(e,t){if(null==t)return e.shape.slice();if(P$(e.shape,t))return t;if(e.shape.length===t.length){for(var n=[],r=0;r<e.shape.length;r++)null==t[r]&&null!=e.shape[r]?n.push(e.shape[r]):n.push(t[r]);return n}return t}(a,n),o=1-t,s=m8(g9(d8(ite(i,0,1,"float32",r),o)),o);return g8(a,s)}});function yne(e){return Math.floor(Math.pow(2,Math.ceil(Math.log(e)/Math.log(2))))}function bne(e,t,n){for(var r=1-e%2,a=new Float32Array(e),i=0;i<e;++i){var o=2*Math.PI*i/(e+r-1);a[i]=t-n*Math.cos(o)}return Vte(a,"float32")}function xne(){return xne=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f,d,v,m,g,y,b=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=b.length>2&&void 0!==b[2]?b[2]:1,a=L5(t,"predictions","inTopK"),i=L5(n,"targets","inTopK"),F$(a.rank>1,(function(){return"inTopK() expects the predictions to be of rank 2 or higher, "+"but got ".concat(a.rank)})),F$(a.rank-1===i.rank,(function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+"".concat(a.rank," and targets rank 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xne.apply(this,arguments)};var wne=B5({conv2DBackpropFilter_:function(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:"NHWC",o=arguments.length>6?arguments[6]:void 0,s=e;3===e.rank&&(s=X8(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=X8(t,[1,t.shape[0],t.shape[1],t.shape[2]])),F$(4===s.rank,(function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+"".concat(s.shape,".")})),F$(4===u.rank,(function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+"".concat(u.shape,".")})),F$(4===n.length,(function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+"".concat(n,".")}));var c="NHWC"===i?s.shape[3]:s.shape[1],l="NHWC"===i?u.shape[3]:u.shape[1];F$(c===n[2],(function(){return"Error in conv2dDerFilter: depth of input ".concat(c,") must ")+"match input depth in filter (".concat(n[2],".")})),F$(l===n[3],(function(){return"Error in conv2dDerFilter: depth of dy (".concat(l,") must ")+"match output depth for filter (".concat(n[3],").")})),K8("conv2dDerFilter",a,o);var h={x:s,dy:u},p={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,filterShape:n};return E5.runKernel(t1,h,p)}});function Ine(e,t,n){if(null==n||"linear"===n)return e;if("relu"===n)return g8(e,Bte(t));throw new Error("Cannot compute gradient for fused activation ".concat(n,"."))}function Nne(e,t){var n=t,r=L7(e.shape,t.shape);return r.length>0&&(n=u9(n,r)),X8(n,e.shape)}function Sne(e,t,n,r){if("linear"===t)return e;if("relu"===t)return lte(e);if("elu"===t)return H7(e);if("relu6"===t)return hte(e);if("prelu"===t)return bee(e,n);if("leakyrelu"===t)return S9(e,r);if("sigmoid"===t)return $8(e);throw new Error("Unknown fused activation ".concat(t,"."))}var Tne=function(e,t){return!(e>0)||"linear"===t};var Ene=B5({fusedConv2d_:function(e){var t=e.x,n=e.filter,r=e.strides,a=e.pad,i=e.dataFormat,o=void 0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,c=e.dimRoundingMode,l=e.bias,h=e.activation,p=void 0===h?"linear":h,f=e.preluActivationWeights,d=e.leakyreluAlpha;if(p=p||"linear",!1===Tne(E5.state.gradientDepth,p)){F$("NHWC"===o,(function(){return"Error in fused conv2d: got dataFormat of ".concat(o," but ")+"only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear."}));var v=b7(t,n,r,a,o,u,c);return null!=l&&(v=d8(v,l)),Sne(v,p,f,d)}var m=L5(t,"x","conv2d","float32"),g=L5(n,"filter","conv2d","float32"),y=m,b=!1;3===m.rank&&(b=!0,y=X8(m,[1,m.shape[0],m.shape[1],m.shape[2]])),F$(4===y.rank,(function(){return"Error in fused conv2d: input must be rank 4, but got rank "+"".concat(y.rank,".")})),F$(4===g.rank,(function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+"".concat(g.rank,".")})),K8("fused conv2d",a,c);var x="NHWC"===o?y.shape[3]:y.shape[1];F$(g.shape[2]===x,(function(){return"Error in conv2d: depth of input (".concat(x,") must match ")+"input depth for filter ".concat(g.shape[2],".")})),F$(j8(r,u),(function(){return"Error in conv2D: Either strides or dilations must be 1. "+"Got strides ".concat(r," and dilations '").concat(u,"'")}));var k,w,I=D8(y.shape,g.shape,r,u,a,c);if(null!=l){var N=S(v5(k=L5(l,"bias","fused conv2d"),m),1);k=N[0],"NHWC"===o?z7(I.outShape,k.shape):(F$(k.shape.length<=1,(function(){return"Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of "+"rank-".concat(k.shape.length,".")})),F$(0===k.shape.length||k.shape[0]===I.outChannels||1===k.shape[0],(function(){return"Error in fused conv2d: bias shape (".concat(k.shape,") is not ")+"compatible with the number of output channels "+"(".concat(I.outChannels,")")})))}if(null!=f){var T=f.shape;if(F$(T.length<=1||3===T.length,(function(){return"Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of "+"rank-".concat(T.length,".")})),1===T.length)F$(1===T[0]||T[0]===I.outChannels,(function(){return"Error in fused conv2d: PReLU activation weights "+"(".concat(T,") is not compatible with the number of output ")+"channels (".concat(I.outChannels,").")}));else if(3===T.length)try{z7(T,I.outShape)}catch(e){var E="Error in fused conv2d: PReLU activation weights (".concat(T,") ")+"is not compatible with the output shape of the conv2d "+"(".concat(I.outShape,").");throw Error(E)}w=L5(f,"prelu weights","fused conv2d")}var C=function(e,t){F$("NHWC"===o,(function(){return"Error in gradient of fused conv2D: got dataFormat of ".concat(o," but only NHWC is currently supported.")}));var n=S(t,4),i=n[0],s=n[1],c=n[2],l=n[3],h=Ine(e,c,p);F$(G8(u),(function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 "+"are not yet supported in gradients. Got dilations '".concat(u,"'")}));var f=[k7(s.shape,h,i,r,a),wne(s,h,i.shape,r,a)];if(null!=l){var d=Nne(l,h);f.push(d)}return f},A={x:y,filter:g,bias:k,preluActivationWeights:w},R={strides:r,pad:a,dataFormat:o,dilations:u,dimRoundingMode:c,activation:p,leakyreluAlpha:d};if(null==l){var _=F9((function(e,t,n){var r=E5.runKernel(M3,A,R);return n([t,e,r]),b&&(r=X8(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:C}}));return _(y,g)}var O=F9((function(e,t,n,r){var a=E5.runKernel(M3,A,R);return r([t,e,a,n]),b&&(a=X8(a,[a.shape[1],a.shape[2],a.shape[3]])),{value:a,gradFunc:C}}));return O(y,g,k)}});var Cne=B5({depthwiseConv2dNativeBackpropFilter_:function(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:[1,1],o=arguments.length>6?arguments[6]:void 0,s=e;3===e.rank&&(s=X8(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=X8(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var c={x:s,dy:u},l={strides:r,pad:a,dimRoundingMode:o,dilations:i,filterShape:n};return E5.runKernel(d1,c,l)}});var Ane=B5({depthwiseConv2dNativeBackpropInput_:function(e,t,n,r,a){var i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:[1,1],o=arguments.length>6?arguments[6]:void 0,s=t,u=!1;3===t.rank&&(u=!0,s=X8(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var c={dy:s,filter:n},l={strides:r,pad:a,dimRoundingMode:o,dilations:i,inputShape:e},h=E5.runKernel(v1,c,l);return u?X8(h,[h.shape[1],h.shape[2],h.shape[3]]):h}});var Rne=B5({fusedDepthwiseConv2d_:function(e){var t=e.x,n=e.filter,r=e.strides,a=e.pad,i=e.dataFormat,o=void 0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,c=e.dimRoundingMode,l=e.bias,h=e.activation,p=void 0===h?"linear":h,f=e.preluActivationWeights,d=e.leakyreluAlpha;if(!1===Tne(E5.state.gradientDepth,p)){var v=O7(t,n,r,a,o,u,c);return null!=l&&(v=d8(v,l)),Sne(v,p,f,d)}var m=L5(t,"x","depthwiseConv2d","float32"),g=L5(n,"filter","depthwiseConv2d","float32"),y=m,b=!1;3===m.rank&&(b=!0,y=X8(m,[1,m.shape[0],m.shape[1],m.shape[2]])),F$(4===y.rank,(function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got "+"rank ".concat(y.rank,".")})),F$(4===g.rank,(function(){return"Error in fused depthwiseConv2d: filter must be rank 4, "+"but got rank ".concat(g.rank,".")})),F$(y.shape[3]===g.shape[2],(function(){return"Error in fused depthwiseConv2d: number of input channels "+"(".concat(y.shape[3],") must match the inChannels dimension in ")+"filter ".concat(g.shape[2],".")})),null==u&&(u=[1,1]),F$(j8(r,u),(function(){return"Error in fused depthwiseConv2d: Either strides or dilations must "+"be 1. Got strides ".concat(r," and dilations '").concat(u,"'")})),K8("fused depthwiseConv2d",a,c);var x,k,w=D8(y.shape,g.shape,r,u,a,c,!0);if(null!=l){var I=S(v5(x=L5(l,"bias","fused conv2d"),m),1);x=I[0],z7(w.outShape,x.shape)}null!=f&&(k=L5(f,"prelu weights","fused depthwiseConv2d"));var N=function(e,t){F$(G8(u),(function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. 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d=L5(t,"a","fused matMul"),v=L5(n,"b","fused matMul"),m=S(v5(d,v),2);d=m[0],v=m[1];var g=a?d.shape[d.rank-2]:d.shape[d.rank-1],y=o?v.shape[v.rank-1]:v.shape[v.rank-2],b=a?d.shape[d.rank-1]:d.shape[d.rank-2],x=o?v.shape[v.rank-2]:v.shape[v.rank-1],k=d.shape.slice(0,-2),w=v.shape.slice(0,-2),I=L$(k),N=L$(w);F$(g===y,(function(){return"Error in fused matMul: inner shapes (".concat(g,") and (")+"".concat(y,") of Tensors with shapes ").concat(d.shape," and ")+"".concat(v.shape," and transposeA=").concat(a)+" and transposeB=".concat(o," must match.")}));var T,E,C=z7(d.shape.slice(0,-2),v.shape.slice(0,-2)).concat([b,x]),A=X8(d,a?[I,g,b]:[I,b,g]),R=X8(v,o?[N,x,y]:[N,y,x]);null!=s&&(T=S(v5(T=L5(s,"bias","fused matMul"),d),1)[0],z7(C,T.shape)),null!=l&&(E=L5(l,"prelu weights","fused matMul"));var _=function(e,t){var n,r,i=S(t,4),u=i[0],l=i[1],h=i[2],p=i[3],f=Ine(X8(e,h.shape),h,c);return a||o?!a&&o?(n=Q8(f,l,!1,!1),r=Q8(f,u,!0,!1)):a&&!o?(n=Q8(l,f,!1,!0),r=Q8(u,f,!1,!1)):(n=Q8(l,f,!0,!0),r=Q8(f,u,!0,!0)):(n=Q8(f,l,!1,!0),r=Q8(u,f,!0,!1)),null!=s?[n,r,Nne(p,f)]:[n,r]},O={a:A,b:R,bias:T,preluActivationWeights:E},F={transposeA:a,transposeB:o,activation:c,leakyreluAlpha:p};if(null==s){var D=F9((function(e,t,n){var r=E5.runKernel(D3,O,F);return n([e,t,r]),{value:X8(r,C),gradFunc:_}}));return D(A,R)}var M=F9((function(e,t,n,r){var a=E5.runKernel(D3,O,F);return r([e,t,a,n]),{value:X8(a,C),gradFunc:_}}));return M(A,R,T)}}),One={__proto__:null,conv2d:Ene,depthwiseConv2d:Rne,matMul:_ne};var Fne=B5({hammingWindow_:function(e){return bne(e,.54,.46)}});var Dne=B5({hannWindow_:function(e){return bne(e,.5,.5)}});var Mne=B5({frame_:function(e,t,n){for(var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0,i=0,o=[];i+t<=e.size;)o.push(e7(e,i,t)),i+=n;if(r)for(;i<e.size;){var s=i+t-e.size,u=Z8([e7(e,i,t-s),f7([s],a)]);o.push(u),i+=n}return 0===o.length?Gte([],[0,t]):X8(Z8(o),[o.length,t])}});var Lne=B5({stft_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:Dne;null==r&&(r=yne(t));var i=Mne(e,t,n),o=g8(i,a(t));return Mte(o,r)}});var zne=B5({cropAndResize_:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"bilinear",i=arguments.length>5&&void 0!==arguments[5]?arguments[5]:0,o=L5(e,"image","cropAndResize"),s=L5(t,"boxes","cropAndResize","float32"),u=L5(n,"boxInd","cropAndResize","int32"),c=s.shape[0];F$(4===o.rank,(function(){return"Error in cropAndResize: image must be rank 4,"+"but got rank ".concat(o.rank,".")})),F$(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size [".concat(c,",4] ")+"but had shape ".concat(s.shape,".")})),F$(1===u.rank&&u.shape[0]===c,(function(){return"Error in cropAndResize: boxInd must be have size [".concat(c,"] ")+"but had shape ".concat(s.shape,".")})),F$(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got "+"length ".concat(r.length,".")})),F$(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was ".concat(r)})),F$("bilinear"===a||"nearest"===a,(function(){return"method must be bilinear or nearest, but was ".concat(a)}));var l={image:o,boxes:s,boxInd:u},h={method:a,extrapolationValue:i,cropSize:r},p=E5.runKernel(l1,l,h);return p}});var Pne=B5({flipLeftRight_:function(e){var t=L5(e,"image","flipLeftRight","float32");F$(4===t.rank,(function(){return"Error in flipLeftRight: image must be rank 4,"+"but got rank ".concat(t.rank,".")}));var n={image:t};return E5.runKernel(O1,n,{})}});var Bne=B5({grayscaleToRGB_:function(e){var t=L5(e,"image","grayscaleToRGB"),n=t.rank-1,r=t.shape[n];F$(t.rank>=2,(function(){return"Error in grayscaleToRGB: images must be at least rank 2, "+"but got rank ".concat(t.rank,".")})),F$(1===r,(function(){return"Error in grayscaleToRGB: last dimension of a grayscale image "+"should be size 1, but got size ".concat(r,".")}));var a=new Array(t.rank);return a.fill(1,0,n),a[n]=3,v9(t,a)}});var Wne=B5({rgbToGrayscale_:function(e){var t=L5(e,"image","RGBToGrayscale"),n=t.rank-1,r=t.shape[n];F$(t.rank>=2,(function(){return"Error in RGBToGrayscale: images must be at least rank 2, "+"but got rank ".concat(t.rank,".")})),F$(3===r,(function(){return"Error in RGBToGrayscale: last dimension of an RGB image "+"should be size 3, but got size ".concat(r,".")}));var a,i=t.dtype,o=h8(t,"float32"),s=Vte([.2989,.587,.114]);switch(t.rank){case 2:a=j7("ij,j->i",o,s);break;case 3:a=j7("ijk,k->ij",o,s);break;case 4:a=j7("ijkl,l->ijk",o,s);break;case 5:a=j7("ijklm,m->ijkl",o,s);break;case 6:a=j7("ijklmn,n->ijklm",o,s);break;default:throw new Error("Not a valid tensor rank.")}return a=f9(a,-1),h8(a,i)}});var Une=B5({rotateWithOffset_:function(e,t){var n=arguments.length>2&&void 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0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"labels","logLoss"),s=L5(n,"predictions","logLoss"),u=null;null!=r&&(u=L5(r,"weights","logLoss")),D$(o.shape,s.shape,"Error in logLoss: ");var c=i9(1),l=i9(a),h=M9(g8(o,R9(d8(s,l)))),p=g8(P9(c,o),R9(d8(P9(c,s),l))),f=P9(h,p);return gre(f,u,i)}});var Ire=B5({meanSquaredError_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,i=L5(t,"labels","meanSquaredError"),o=L5(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=L5(r,"weights","meanSquaredError")),D$(i.shape,o.shape,"Error in meanSquaredError: ");var u=Lte(i,o);return gre(u,s,a)}});function Nre(e,t){var n=L5(e,"labels","sigmoidCrossEntropyWithLogits"),r=L5(t,"logits","sigmoidCrossEntropyWithLogits");D$(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var a=lte(r),i=g8(r,n),o=_9(p9(M9(y8(r))));return d8(P9(a,i),o)}var Sre=B5({sigmoidCrossEntropy_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"multiClassLabels","sigmoidCrossEntropy"),s=L5(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=L5(r,"weights","sigmoidCrossEntropy")),D$(o.shape,s.shape,"Error in sigmoidCrossEntropy: "),a>0){var c=i9(a),l=i9(1),h=i9(.5);o=d8(g8(o,P9(l,c)),g8(h,c))}var p=Nre(o,s);return gre(p,u,i)}});function Tre(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet "+"supported. Labels / logits was rank ".concat(t.rank," ")+"and dim was ".concat(n));var r=F9((function(e,t,r){var a=W9(t,[n],!0),i=P9(h8(t,"float32"),a);r([e,i]);var o=M9(g8(i,e));return{value:u9(o,[n]),gradFunc:function(e,t){var r=S(t,2),a=r[0],i=r[1],o=Z7(e.shape,[n]);return[g8(X8(e,o),P9(h8(a,"float32"),p9(i))),g8(X8(e,o),P9(p9(i),h8(a,"float32")))]}}}));return r(e,t)}var Ere=B5({softmaxCrossEntropy_:function(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"onehotLabels","softmaxCrossEntropy"),s=L5(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=L5(r,"weights","softmaxCrossEntropy")),D$(o.shape,s.shape,"Error in softmaxCrossEntropy: "),a>0){var c=i9(a),l=i9(1),h=i9(o.shape[1]);o=d8(g8(o,P9(l,c)),m8(c,h))}var p=Tre(o,s);return gre(p,u,i)}});var Cre=B5({sparseFillEmptyRows_:function(e,t,n,r){var a=L5(e,"indices","sparseFillEmptyRows","int32"),i=L5(t,"values","sparseFillEmptyRows"),o=L5(n,"denseShape","sparseFillEmptyRows","int32"),s=L5(r,"defaultValue","sparseFillEmptyRows",i.dtype);if(2!==a.rank)throw new Error("Indices should be Tensor2D but received shape\n        ".concat(a.shape));if(1!==i.rank)throw new Error("Values should be Tensor1D but received shape ".concat(i.shape));if(1!==o.rank)throw new Error("Dense shape should be Tensor1D but received shape ".concat(o.shape));if(0!==s.rank)throw new Error("Default value should be a scalar but received shape ".concat(s.shape));var u={indices:a,values:i,denseShape:o,defaultValue:s},c=E5.runKernel(u3,u);return{outputIndices:c[0],outputValues:c[1],emptyRowIndicator:c[2],reverseIndexMap:c[3]}}});var Are=B5({sparseReshape_:function(e,t,n){var r=L5(e,"inputIndices","sparseReshape","int32"),a=L5(t,"inputShape","sparseReshape","int32"),i=L5(n,"newShape","sparseReshape","int32");if(2!==r.rank)throw new Error("Input indices should be 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r=L5(e,"data","sparseSegmentSum"),a=L5(t,"indices","sparseSegmentSum","int32"),i=L5(n,"segmentIds","sparseSegmentSum","int32");if(r.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(1!==a.rank)throw new Error("Indices should be Tensor1D but received shape\n         ".concat(a.shape));if(1!==i.rank)throw new Error("Segment ids should be Tensor1D but received shape\n         ".concat(i.shape));var o={data:r,indices:a,segmentIds:i};return E5.runKernel(h3,o)}});var Ore=B5({stringNGrams_:function(e,t,n,r,a,i,o,s){var u=L5(e,"data","stringNGrams","string");if("string"!==u.dtype)throw new Error("Data must be of datatype string");if(1!==u.shape.length)throw new Error("Data must be a vector, saw: ".concat(u.shape));var c=L5(t,"dataSplits","stringNGrams");if("int32"!==c.dtype)throw new Error("Data splits must be of datatype int32");var l={separator:n,nGramWidths:r,leftPad:a,rightPad:i,padWidth:o,preserveShortSequences:s},h={data:u,dataSplits:c},p=E5.runKernel(g3,h,l);return{nGrams:p[0],nGramsSplits:p[1]}}});var Fre=B5({stringSplit_:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2],r=L5(e,"input","stringSplit","string"),a=L5(t,"delimiter","stringSplit","string");if(1!==r.rank)throw new Error("Input should be Tensor1D but received shape ".concat(r.shape));if(0!==a.rank)throw new Error("Delimiter should be a scalar but received shape ".concat(a.shape));var i={skipEmpty:n},o={input:r,delimiter:a},s=E5.runKernel(y3,o,i);return{indices:s[0],values:s[1],shape:s[2]}}});var Dre=B5({stringToHashBucketFast_:function(e,t){var n=L5(e,"input","stringToHashBucketFast","string"),r={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");var a={input:n};return E5.runKernel(b3,a,r)}});var Mre=B5({staticRegexReplace_:function(e,t,n){var r=!(arguments.length>3&&void 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o=t.shape.slice(),s=o.pop(),u=o.pop(),c=[].concat(T(o),[s]),l=Array.from({length:t.rank},(function(e,n){return 0===n?t.rank-2:n<=t.rank-2?n-1:n}));t=X8(hne(t,l),[u,-1]);var h=[].concat(T(a),T(c));return X8(_ne({a:e,b:t,transposeA:!1,transposeB:!1,bias:r?Mue(e.rank,r,"channelsLast"):null,activation:n}),h)}function Fue(e,t,n){return X5((function(){return t=Array.isArray(t)?Vte(t,"int32"):h8(t,"int32"),y9(e,t,n)}))}function Due(e){return g8(e,e)}function Mue(e,t,n){var r=t.shape;if(1!==t.rank&&t.rank!==e)throw new Cse("Unexpected bias dimensions: ".concat(t.rank)+"; expected it to be 1 or ".concat(e));if(5===e){if("channelsFirst"===n)return 1===r.length?X8(t,[1,r[0],1,1,1]):X8(t,[1,r[3],r[0],r[1],r[2]]);if("channelsLast"===n)return 1===r.length?X8(t,[1,1,1,1,r[0]]):X8(t,[1].concat(r))}else if(4===e){if("channelsFirst"===n)return 1===r.length?X8(t,[1,r[0],1,1]):X8(t,[1,r[2],r[0],r[1]]);if("channelsLast"===n)return 1===r.length?X8(t,[1,1,1,r[0]]):X8(t,[1].concat(r))}else 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g8(i9(n.value),eee(e,t))}))}},{key:"getConfig",value:function(){return{value:this.value}}}]),n}(Vue);Hue.className="Constant",Kre(Hue);var que=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_MINVAL=-.05,r.DEFAULT_MAXVAL=.05,r.minval=e.minval||r.DEFAULT_MINVAL,r.maxval=e.maxval||r.DEFAULT_MAXVAL,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){return ite(e,this.minval,this.maxval,t,this.seed)}},{key:"getConfig",value:function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}}}]),n}(Vue);que.className="RandomUniform",Kre(que);var Kue=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_MEAN=0,r.DEFAULT_STDDEV=.05,r.mean=e.mean||r.DEFAULT_MEAN,r.stddev=e.stddev||r.DEFAULT_STDDEV,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){if("float32"!==(t=t||"float32")&&"int32"!==t)throw new Ase("randomNormal does not support dType ".concat(t,"."));return 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").concat(t,"."));return ene(e,0,o,t,this.seed)}var s=Math.sqrt(3*i);return ite(e,-s,s,t,this.seed)}},{key:"getConfig",value:function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}}}]),n}(Vue);Jue.className="VarianceScaling",Kre(Jue);var Zue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Jue.className}}]),n}(Jue);Zue.className="GlorotUniform",Kre(Zue);var Que=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Jue.className}}]),n}(Jue);Que.className="GlorotNormal",Kre(Que);var $ue=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Jue.className}}]),n}(Jue);$ue.className="HeNormal",Kre($ue);var ece=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Jue.className}}]),n}(Jue);ece.className="HeUniform",Kre(ece);var tce=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Jue.className}}]),n}(Jue);tce.className="LeCunNormal",Kre(tce);var nce=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:null==e?null:e.seed})}return p(n,[{key:"getClassName",value:function(){return Jue.className}}]),n}(Jue);nce.className="LeCunUniform",Kre(nce);var rce=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).DEFAULT_GAIN=1,r.ELEMENTS_WARN_SLOW=2e3,r.gain=null==e.gain?r.DEFAULT_GAIN:e.gain,r.seed=e.seed,r}return p(n,[{key:"apply",value:function(e,t){var n=this;return X5((function(){if(e.length<2)throw new Ase("Shape must be at least 2D.");if("int32"!==t&&"float32"!==t&&void 0!==t)throw new TypeError("Unsupported data type ".concat(t,"."));var r=L$(e.slice(0,-1)),a=e[e.length-1],i=r*a;i>n.ELEMENTS_WARN_SLOW&&console.warn("Orthogonal initializer is being called on a matrix with more "+"than ".concat(n.ELEMENTS_WARN_SLOW," (").concat(i,") elements: ")+"Slowness may result.");var o=_ue([Math.max(a,r),Math.min(a,r)],0,1,t,n.seed),s=Bre.qr(o,!1),u=s[0],c=s[1].flatten().stridedSlice([0],[Math.min(a,r)*Math.min(a,r)],[Math.min(a,r)+1]);return u=g8(u,c.sign()),r<a&&(u=u.transpose()),g8(i9(n.gain),u.reshape(e))}))}},{key:"getConfig",value:function(){return{gain:this.gain,seed:this.seed}}}]),n}(Vue);rce.className="Orthogonal",Kre(rce);var ace={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function ice(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return Vse(e,qre.getMap().classNameMap,t,"initializer")}function oce(e){return Wse(e)}function sce(e){if("string"==typeof e){var t=e in ace?ace[e]:e;if("GlorotNormal"===t)return new Que;if("GlorotUniform"===t)return new Zue;if("HeNormal"===t)return new $ue;if("HeUniform"===t)return new ece;if("LeCunNormal"===t)return new tce;if("LeCunUniform"===t)return new nce;var n={};return n.className=t,n.config={},ice(n)}return e instanceof Vue?e:ice(e)}function uce(e){return Array.isArray(e)&&Array.isArray(e[0])}function cce(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function lce(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new Cse("Expected Tensor length to be 1; got ".concat(e.length));t=e[0]}else t=e;return t}function hce(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return e[0];throw new Cse("Expected exactly 1 Shape; got ".concat(e.length))}return e}function pce(e){var t,n=0,r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;0===a.shape.length?n+=1:n+=a.shape.reduce((function(e,t){return e*t}))}}catch(e){r.e(e)}finally{r.f()}return n}var fce="Variable",dce=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"float32",r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:fce,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;l(this,e),this.dtype=null==n?"float32":n,this.shape=t.shape,this.id=Qse(),r=null==r?fce:r,this.originalName=pue(r),this.name=fue(this.originalName),this.trainable_=a,this.constraint=i,this.val=ine(t,this.trainable_,this.name,this.dtype)}return p(e,[{key:"read",value:function(){return this.assertNotDisposed(),this.val}},{key:"write",value:function(e){return this.assertNotDisposed(),function(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this}},{key:"dispose",value:function(){this.assertNotDisposed(),this.val.dispose()}},{key:"assertNotDisposed",value:function(){if(this.val.isDisposed)throw new Error("LayersVariable ".concat(this.name," is already disposed."))}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function vce(e){return e.map((function(e){return e.read()}))}function mce(e){e.forEach((function(e){e[0].write(e[1])}))}var gce=p((function e(t){l(this,e),this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}})),yce=p((function e(t,n,r,a,i,o,s){l(this,e),this.dtype=t,this.shape=n,this.sourceLayer=r,this.inputs=a,this.callArgs=i,this.outputTensorIndex=s,this.id=Qse(),null!=o&&(this.originalName=pue(o),this.name=fue(this.originalName)),this.rank=n.length})),bce=0,xce=function(){function e(t,n){l(this,e),this.callArgs=n,this.id=bce++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;var r,a=O(t.inboundLayers);try{for(a.s();!(r=a.n()).done;){var i=r.value;null!=i&&i.outboundNodes.push(this)}}catch(e){a.e(e)}finally{a.f()}t.outboundLayer.inboundNodes.push(this)}return p(e,[{key:"getConfig",value:function(){var e,t=[],n=O(this.inboundLayers);try{for(n.s();!(e=n.n()).done;){var r=e.value;null!=r?t.push(r.name):t.push(null)}}catch(e){n.e(e)}finally{n.f()}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}]),e}(),kce=0,wce=function(e){d(n,e);var t=w(n);function n(){var e,r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};l(this,n),(e=t.call(this))._callHook=null,e._addedWeightNames=[],e._stateful=!1,e.id=kce++,e.activityRegularizer=null,e.inputSpec=null,e.supportsMasking=!1,e._trainableWeights=[],e._nonTrainableWeights=[],e._losses=[],e._updates=[],e._built=!1,e.inboundNodes=[],e.outboundNodes=[];var a=r.name;if(!a){var i=e.getClassName();a=zse(i)+"_"+eue(i)}if(e.name=a,e.trainable_=null==r.trainable||r.trainable,null!=r.inputShape||null!=r.batchInputShape){var o;if(null!=r.batchInputShape)o=r.batchInputShape;else if(null!=r.inputShape){var s=null;null!=r.batchSize&&(s=r.batchSize),o=[s].concat(r.inputShape)}e.batchInputShape=o;var u=r.dtype;null==u&&(u=r.inputDType),null==u&&(u="float32"),e.dtype=u}return null!=r.weights?e.initialWeights=r.weights:e.initialWeights=null,e._refCount=null,e.fastWeightInitDuringBuild=!1,e}return p(n,[{key:"getNodeAtIndex",value:function(e,t){if(0===this.inboundNodes.length)throw new Ese("The layer has never been called "+"and thus has no defined ".concat(t,"."));if(this.inboundNodes.length<=e)throw new Cse("Asked to get ".concat(t," at node ").concat(e,", ")+"but the layer has only ".concat(this.inboundNodes.length," inbound nodes."));return this.inboundNodes[e]}},{key:"getInputAt",value:function(e){return Mse(this.getNodeAtIndex(e,"input").inputTensors)}},{key:"getOutputAt",value:function(e){return Mse(this.getNodeAtIndex(e,"output").outputTensors)}},{key:"input",get:function(){if(this.inboundNodes.length>1)throw new Tse("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new Tse("Layer ".concat(this.name)+" is not connected, no input to return.");return Mse(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new Tse("Layer ".concat(this.name)+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new Tse("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return Mse(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{key:"calculateLosses",value:function(){return this.losses.map((function(e){return e()}))}},{key:"updates",get:function(){return this._updates}},{key:"built",get:function(){return this._built},set:function(e){this._built=e}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this._trainableWeights.forEach((function(t){return t.trainable=e})),this.trainable_=e}},{key:"trainableWeights",get:function(){return this.trainable_?this._trainableWeights.filter((function(e){return e.trainable})):[]},set:function(e){this._trainableWeights=e}},{key:"nonTrainableWeights",get:function(){return this.trainable?this._trainableWeights.filter((function(e){return!e.trainable})).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){return this._stateful}},{key:"resetStates",value:function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}},{key:"assertInputCompatibility",value:function(e){var t=Lse(e);if(null!=this.inputSpec&&0!==this.inputSpec.length){var n=Lse(this.inputSpec);if(t.length!==n.length)throw new Cse("Layer ".concat(this.name," expects ").concat(n.length," inputs, ")+"but it received ".concat(t.length," input tensors. ")+"Input received: ".concat(e));for(var r=0;r<t.length;r++){var a=t[r],i=n[r];if(null!=i){var o=a.rank;if(null!=i.ndim&&o!==i.ndim)throw new Cse("Input ".concat(r," is incompatible with layer ").concat(this.name,": ")+"expected ndim=".concat(i.ndim,", found ndim=").concat(o));if(null!=i.maxNDim&&o>i.maxNDim)throw new Cse("Input ".concat(r," is incompatible with layer ").concat(this.name)+": expected max_ndim=".concat(i.maxNDim,", found ndim=").concat(o));if(null!=i.minNDim&&o<i.minNDim)throw new Cse("Input ".concat(r," is incompatible with layer ").concat(this.name)+": expected min_ndim=".concat(i.minNDim,", found ndim=").concat(o,"."));if(null!=i.dtype&&a.dtype!==i.dtype)throw new Cse("Input ".concat(r," is incompatible with layer ").concat(this.name," ")+": expected dtype=".concat(i.dtype,", found dtype=").concat(a.dtype,"."));if(i.axes){var s=a.shape;for(var u in i.axes){var c=Number(u),l=i.axes[u],h=c>=0?s[c]:s[s.length+c];if(null!=l&&-1===[l,null].indexOf(h))throw new Cse("Input ".concat(r," is incompatible with layer ")+"".concat(this.name,": expected axis ").concat(c," of input shape to ")+"have value ".concat(l," but got shape ").concat(s,"."))}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var f=i.shape[p],d=a.shape[p];if(null!=f&&null!=d&&f!==d)throw new Cse("Input ".concat(r," is incompatible with layer ")+"".concat(this.name,": expected shape=").concat(i.shape,", ")+"found shape=".concat(a.shape,"."))}}}}}},{key:"call",value:function(e,t){return e}},{key:"invokeCallHook",value:function(e,t){null!=this._callHook&&this._callHook(e,t)}},{key:"setCallHook",value:function(e){this._callHook=e}},{key:"clearCallHook",value:function(){this._callHook=null}},{key:"apply",value:function(e,t){var n=this;t=t||{},this.assertNotDisposed();var r=Lse(e),a=function(e){var t,n=!0,r=O(Lse(e));try{for(r.s();!(t=r.n()).done;){if(!(t.value instanceof yce)){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}return n}(e),i=function(e){var t,n=!0,r=O(Lse(e));try{for(r.s();!(t=r.n()).done;){if(t.value instanceof yce){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}return n}(e);if(a===i)throw new Cse("Arguments to apply() must be all SymbolicTensors or all Tensors");return hue(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);var a,o=[],s=O(Lse(e));try{for(s.s();!(a=s.n()).done;){var u=a.value;o.push(u.shape)}}catch(e){s.e(e)}finally{s.f()}n.build(Mse(o)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&i&&(n._refCount=1)}if(n.assertInputCompatibility(e),i){var c=n.call(e,t);n.supportsMasking&&n.setMaskMetadata(e,c);var l,h=[],p=O(Lse(c));try{for(p.s();!(l=p.n()).done;){var f=l.value;-1!==r.indexOf(f)&&(f=f.clone()),h.push(f)}}catch(e){p.e(e)}finally{p.f()}if(c=Mse(h),null!=n.activityRegularizer)throw new Ase("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return c}var d,v=function(e){e=Lse(e);var t,n=[],r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;n.push(a.shape)}}catch(e){r.e(e)}finally{r.f()}return Mse(n)}(e),m=n.computeOutputShape(v),g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?v[0]:v),d=null!=m&&m.length>0&&Array.isArray(m[0])?m.map((function(r,a){return new yce(g,r,n,Lse(e),t,n.name,a)})):new yce(g,m,n,Lse(e),t,n.name),n.addInboundNode(e,d,null,null,v,m,t),n._refCount++,null!=n.activityRegularizer)throw new Ase("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return d}))}},{key:"warnOnIncompatibleInputShape",value:function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+"".concat(JSON.stringify(e),") does not match that of the ")+"batchInputShape (".concat(JSON.stringify(this.batchInputShape),") ")+"of the layer ".concat(this.name));else{var t=!1;this.batchInputShape.forEach((function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)})),t&&console.warn("The shape of the input tensor "+"(".concat(JSON.stringify(e),") does not ")+"match the expectation of layer ".concat(this.name,": ")+"".concat(JSON.stringify(this.batchInputShape)))}}},{key:"outputShape",get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new Tse("The layer ".concat(this.name," has never been called and thus has no ")+"defined output shape.");var e,t=[],n=O(this.inboundNodes);try{for(n.s();!(e=n.n()).done;){var r=e.value,a=JSON.stringify(r.outputShapes);-1===t.indexOf(a)&&t.push(a)}}catch(e){n.e(e)}finally{n.f()}if(1===t.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new Tse("The layer ".concat(this.name," has multiple inbound nodes with different ")+'output shapes. Hence the notion of "output shape" is ill-defined for the layer.')}},{key:"countParams",value:function(){if(!this.built)throw new Ese("You tried to call countParams() on ".concat(this.name,", ")+"but the layer is not built yet. Build it first by calling build(batchInputShape).");return pce(this.weights)}},{key:"build",value:function(e){this.built=!0}},{key:"getWeights",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];return vce(e?this.trainableWeights:this.weights)}},{key:"setWeights",value:function(e){var t=this;X5((function(){var n=t.weights;if(n.length!==e.length)throw new Cse('You called setWeights(weights) on layer "'.concat(t.name,'" ')+"with a weight list of length ".concat(e.length,", ")+"but the layer was expecting ".concat(n.length," weights. ")+"Provided weights: ".concat(e,"..."));if(0!==n.length){for(var r=[],a=vce(n),i=0;i<a.length;++i){var o=a[i],s=n[i],u=e[i];if(!P$(o.shape,u.shape))throw new Cse("Layer weight shape ".concat(o.shape," ")+"not compatible with provided weight shape ".concat(u.shape));r.push([s,u])}mce(r)}}))}},{key:"addWeight",value:function(e,t,n,r,a,i,o,s){if(-1!==this._addedWeightNames.indexOf(e))throw new Cse("Duplicate weight name ".concat(e," for layer ").concat(this.name));this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=null!=s?s():sce("zeros"));var u=r.apply(t,n),c=new dce(u,n,e,i,o);return u.dispose(),null!=a&&this.addLoss((function(){return a.apply(c.read())})),null==i&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}},{key:"setFastWeightInitDuringBuild",value:function(e){this.fastWeightInitDuringBuild=e}},{key:"addLoss",value:function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=Lse(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,T(e)))}},{key:"computeOutputShape",value:function(e){return e}},{key:"computeMask",value:function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer ".concat(this.name," does not support masking, ")+"but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer ".concat(n.name," does not support masking, ")+"but was passed an inputMask.")}))}return null}return t}},{key:"setMaskMetadata",value:function(e,t,n){if(this.supportsMasking){var r=this.computeMask(e,n),a=Lse(t),i=Lse(r);if(a.length!==i.length)throw new Error("".concat(this.name," outputs ").concat(a.length," tensors ")+"but ".concat(a.length," masks for those tensors"));for(var o=0;o<a.length;o++)a[o].kerasMask=i[o]}}},{key:"addInboundNode",value:function(e,t,n,r,a,i){var o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,s=Lse(e);t=Lse(t),n=Lse(n),r=Lse(r),a=cce(a),i=cce(i);var u,c=[],l=[],h=[],p=O(s);try{for(p.s();!(u=p.n()).done;){var f=u.value;c.push(f.sourceLayer),l.push(f.nodeIndex),h.push(f.tensorIndex)}}catch(e){p.e(e)}finally{p.f()}new xce({outboundLayer:this,inboundLayers:c,nodeIndices:l,tensorIndices:h,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var d=0;d<t.length;d++)t[d].sourceLayer=this,t[d].nodeIndex=this.inboundNodes.length-1,t[d].tensorIndex=d}},{key:"getConfig",value:function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e}},{key:"disposeWeights",value:function(){return this.weights.forEach((function(e){return e.dispose()})),this.weights.length}},{key:"assertNotDisposed",value:function(){if(0===this._refCount)throw new Error("Layer '".concat(this.name,"' is already disposed."))}},{key:"dispose",value:function(){if(!this.built)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been ")+"built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been used ")+"yet.");this.assertNotDisposed();var e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}}],[{key:"nodeKey",value:function(e,t){return e.name+"_ib-"+t.toString()}}]),n}(Hre);function Ice(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var a=[],i=0;i<r.inboundLayers.length;i++){var o,s=O(Ice(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]));try{for(s.s();!(o=s.n()).done;){var u=o.value;-1===a.indexOf(u)&&a.push(u)}}catch(e){s.e(e)}finally{s.f()}}return a}var Nce=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),r=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:eue("input").toString()}),null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),r.trainable=!1,r.built=!0,r.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new Cse("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var a=e.batchInputShape;if(null==a){if(null==e.inputShape)throw new Cse("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");a=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new Cse("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";r.batchInputShape=a,r.dtype=i,r.inputSpec=[{shape:a}];var o=new yce(r.dtype,r.batchInputShape,x(r),[],{},r.name);return o.nodeIndex=0,o.tensorIndex=0,new xce({outboundLayer:x(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[o],outputTensors:[o],inputMasks:[null],outputMasks:[null],inputShapes:[a],outputShapes:[a]}),r}return p(n,[{key:"apply",value:function(e,t){throw new Cse("Cannot pass any input to an "+"InputLayer's apply() method. InputLayer name: ".concat(this.name))}},{key:"dispose",value:function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}}},{key:"getConfig",value:function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}}}]),n}(wce);function Sce(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=e.batchShape&&null!=e.shape)throw new Cse("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n="float32"),new Nce({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}Nce.className="InputLayer",Kre(Nce);var Tce=function(){function e(t){if(l(this,e),this.id2Value={},this.id2Mask={},this.name2Id={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n],n in t.id2Mask&&(this.id2Mask[n]=t.id2Mask[n]);else{if(null==t)return;var r,a=O(t);try{for(a.s();!(r=a.n()).done;){var i=r.value;this.add(i.key,i.value)}}catch(e){a.e(e)}finally{a.f()}}}return p(e,[{key:"add",value:function(e,t,n){if(null!=this.id2Value[e.id])throw new Cse("Duplicate key: name=".concat(e.name,", id=").concat(e.id));return this.id2Value[e.id]=function(e,t){if(null==e.dtype||e.dtype===t.dtype)return t;try{return h8(t,e.dtype)}catch(n){throw new Cse("The dtype of the feed (".concat(t.dtype,") can not be cast to the dtype ")+"of the key '".concat(e.name,"' (").concat(e.dtype,")."))}}(e,t),this.name2Id[e.name]=e.id,null!=n&&(this.id2Mask[e.id]=n),this}},{key:"addFeed",value:function(e){this.add(e.key,e.value)}},{key:"hasKey",value:function(e){return null!=this.id2Value[e.id]}},{key:"names",value:function(){return Object.keys(this.name2Id)}},{key:"getValue",value:function(e){if(e instanceof yce){if(null==this.id2Value[e.id])throw new Cse("Nonexistent key: ".concat(e.name));return this.id2Value[e.id]}var t=this.name2Id[e];if(null==t)throw new Cse("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Value[t]}},{key:"getMask",value:function(e){if(e instanceof yce){if(null==this.id2Value[e.id])throw new Cse("Nonexistent key: ".concat(e.name));return this.id2Mask[e.id]}var t=this.name2Id[e];if(null==t)throw new Cse("Feed dict has no SymbolicTensor name: ".concat(e));return this.id2Mask[t]}},{key:"disposeMasks",value:function(){null!=this.id2Mask&&Y5(this.id2Mask)}}]),e}(),Ece=new _se,Cce=new _se;function Ace(e,t,n,r){var a,i=null!=n&&n.training,o=Array.isArray(e),s=o?e:[e],u=s.map((function(e){return e.name})),c=[],l=t.names(),h=O(u);try{for(h.s();!(a=h.n()).done;){var p=a.value;-1!==l.indexOf(p)?c.push(t.getValue(p)):c.push(null)}}catch(e){h.e(e)}finally{h.f()}null!=r&&(r.maxNumTensors=-1/0,r.minNumTensors=1/0);var f,d=u.join(",")+"|"+t.names().sort().join(","),v=Ece.get(d);if(null==v){var m=function(e,t){F$(null!=e&&e.length>0,(function(){return"Expected at least one fetch, got none"}));var n=[],r={};if(1===e.length){var a=_ce(e[0],t);n=a.sorted,r=a.recipientMap}else{var i,o=new Set,s=O(e);try{for(s.s();!(i=s.n()).done;){var u,c=_ce(i.value,t),l=c.sorted,h=c.recipientMap,p=O(l);try{for(p.s();!(u=p.n()).done;){var 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"+"Received inputs: ".concat(e.inputs,". 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')+"The following previous layers were accessed without "+"issue: ".concat(se))}}catch(e){de.e(e)}finally{de.f()}var me,ge=O(he.outputTensors);try{for(ge.s();!(me=ge.n()).done;){var ye=me.value;oe.push(ye)}}catch(e){ge.e(e)}finally{ge.f()}se.push(pe.name)}}}catch(e){le.e(e)}finally{le.f()}}}catch(e){ue.e(e)}finally{ue.f()}r.nodesByDepth=q;var be,xe=r.layers.map((function(e){return e.name})),ke=O(xe);try{var we=function(){var e=be.value,t=xe.filter((function(t){return t===e})).length;if(1!==t)throw new Ese('The name "'.concat(e,'" is used ').concat(t," times ")+"in the model. All layer names should be unique. Layer names: "+JSON.stringify(xe))};for(ke.s();!(be=ke.n()).done;)we()}catch(e){ke.e(e)}finally{ke.f()}return r.outboundNodes=[],r.inboundNodes=[],new xce({outboundLayer:x(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map((function(e){return null})),outputMasks:r.outputs.map((function(e){return null})),inputShapes:r.inputs.map((function(e){return e.shape})),outputShapes:r.outputs.map((function(e){return e.shape}))}),r.built=!0,r._refCount=1,r}return p(n,[{key:"assertNotDisposed",value:function(){if(0===this._refCount)throw new Error("Container '".concat(this.name,"' is already disposed."))}},{key:"dispose",value:function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount){var t,n=O(this.layers);try{for(n.s();!(t=n.n()).done;){var r=t.value;e.numDisposedVariables+=r.dispose().numDisposedVariables}}catch(e){n.e(e)}finally{n.f()}var a,i=O(this.internalContainerRefs);try{for(i.s();!(a=i.n()).done;){var o=a.value;e.numDisposedVariables+=o.dispose().numDisposedVariables}}catch(e){i.e(e)}finally{i.f()}}return e.refCountAfterDispose=this._refCount,e}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this.layers.forEach((function(t){t._trainableWeights.forEach((function(t){return t.trainable=e}))})),this.trainable_=e}},{key:"trainableWeights",get:function(){if(this._trainableWeights.length>0)throw new Cse("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];var e,t=[],n=O(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t=t.concat(r.trainableWeights)}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=O(this.layers);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.nonTrainableWeights))}}catch(e){n.e(e)}finally{n.f()}if(!this.trainable){var a,i=[],o=O(this.layers);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,T(s.trainableWeights))}}catch(e){o.e(e)}finally{o.f()}return i.concat(t)}return t}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"loadWeights",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n={},r=0,a=Wle(e);a&&this.parseWeights(e);var i,o=O(this.layers);try{for(o.s();!(i=o.n()).done;){var s,u=i.value,c=O(u.weights.entries());try{for(c.s();!(s=c.n()).done;){var l=S(s.value,2),h=l[0],p=l[1],f=a?"".concat(p.name.split("/").slice(0,-1).join("/")+"/").concat(h):p.originalName;if(null!=n[f])throw new Cse("Duplicate weight name: ".concat(f));n[f]=p,r++}}catch(e){c.e(e)}finally{c.f()}}}catch(e){o.e(e)}finally{o.f()}var d=[];for(var v in e){var m=v;if(null==n[v]){var g=v.split("/"),y=g.slice(0,-2).concat([g[g.length-1]]);m=y.join("/")}if(null!=n[m])d.push([n[m],e[v]]);else if(t)throw new Cse("Provided weight data has no target variable: ".concat(v));delete n[m]}if(t){var b=[];for(var x in n)b.push(x);if(b.length>0)throw new Cse("".concat(b.length," of ").concat(r," weights are not set: ")+"".concat(b))}mce(d)}},{key:"parseWeights",value:function(e){var t=function(){var t=n.split("/"),r=["vars","layer_checkpoint_dependencies"],a=t.map((function(e){return e.startsWith("_")?e.slice(1):e})).filter((function(e){return!r.includes(e)})).join("/");a!==n&&(e[a]=e[n],delete e[n])};for(var n in Object.keys(e))t()}},{key:"updatedConfig",value:function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers ".concat(Ble),t.backend="TensorFlow.js",t}},{key:"toJSON",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=Ple(this.updatedConfig());return t?JSON.stringify(n):n}},{key:"call",value:function(e,t){var n=this;return X5((function(){e=Lse(e);for(var r=new Tce,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],e[a]);return Ace(n.outputs,r,t)}))}},{key:"computeMask",value:function(e,t){var n=this;return X5((function(){var r;return e=Lse(e),r=null==t?Ose(null,e.length):Lse(t),n.runInternalGraph(e,r)[1]}))}},{key:"computeOutputShape",value:function(e){var t=cce(e);if(t.length!==this.inputLayers.length)throw new Cse("Invalid inputShape argument ".concat(e,": ")+"model has ".concat(this.inputLayers.length," tensor inputs."));for(var n={},r=0;r<t.length;r++){var a=this.inputLayers[r],i=t[r];n[a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(Gse);if(o.length>1){var s,u=O(o);try{for(u.s();!(s=u.n()).done;){var c,l=s.value,h=O(this.nodesByDepth[l]);try{for(h.s();!(c=h.n()).done;){var p=c.value,f=p.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(f.id)){for(var d=[],v=0;v<p.inboundLayers.length;v++){var m=p.inboundLayers[v],g=p.nodeIndices[v],y=p.tensorIndices[v],b=n["".concat(m.name,"_").concat(g,"_").concat(y)];d.push(b)}for(var x=cce(f.computeOutputShape(Mse(d))),k=f.inboundNodes.indexOf(p),w=0;w<x.length;w++){n["".concat(f.name,"_").concat(k,"_").concat(w)]=x[w]}}}}catch(e){h.e(e)}finally{h.f()}}}catch(e){u.e(e)}finally{u.f()}}for(var I=[],N=[],S=0;S<this.outputLayers.length;S++){var T=this.outputLayers[S],E=this.outputLayersNodeIndices[S],C=this.outputLayersTensorIndices[S],A="".concat(T.name,"_").concat(E,"_").concat(C);N.push(A)}for(var R=0;R<N.length;R++){var _=N[R];Fse(_ in n),I.push(n[_])}return Mse(I)}},{key:"runInternalGraph",value:function(e,t){null==t&&(t=Ose(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=e[r],o=t[r];n[a.id]=[i,o]}var s,u=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(Gse),c=O(u);try{for(c.s();!(s=c.n()).done;){var l,h=s.value,p=O(this.nodesByDepth[h]);try{for(p.s();!(l=p.n()).done;){var f,d=l.value,v=d.outboundLayer,m=d.inputTensors,g=d.outputTensors,y=new Array,b=O(m);try{for(b.s();!(f=b.n()).done;){var x=f.value;x.id in n&&y.push(n[x.id])}}catch(e){b.e(e)}finally{b.f()}if(y.length===m.length){var k={},w=void 0,I=void 0,N=void 0,T=void 0;if(null!=d.callArgs&&(k=d.callArgs),1===y.length){var E=S(y[0],2),C=E[0],A=E[1];null==k.mask&&(k.mask=A),N=Lse(v.call(C,k)),T=Lse(v.computeMask(C,A)),w=[C],I=[A]}else w=y.map((function(e){return e[0]})),I=y.map((function(e){return e[1]})),null==k.mask&&(k.mask=I),N=Lse(v.call(w,k)),T=Lse(v.computeMask(w,I));if(v.activityRegularizer)throw new Ase("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var R=0;R<g.length;++R){var _=g[R],F=N[R],D=T[R];n[_.id]=[F,D]}}}}catch(e){p.e(e)}finally{p.f()}}}catch(e){c.e(e)}finally{c.f()}var M,L=[],z=[],P=[],B=O(this.outputs);try{for(B.s();!(M=B.n()).done;){var W=M.value;Fse(W.id in n,"Could not compute output ".concat(W.name," : ").concat(W.id));var U=S(n[W.id],2),V=U[0],G=U[1];P.push(V.shape),L.push(V),z.push(G)}}catch(e){B.e(e)}finally{B.f()}return[L,z,P]}},{key:"buildNodeConversionMap",value:function(e){var t,r,a={},i=O(this.layers);try{for(i.s();!(r=i.n()).done;){var o=r.value;t=o instanceof n?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=n.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=t,t+=1)}}}catch(e){i.e(e)}finally{i.f()}return a}},{key:"getLayer",value:function(e,t){if(null!=t)return this.findLayer(t);if(null==e)throw new Cse("Provide either a layer name or layer index");if("number"==typeof e)return this.findLayer(e);var n,r=O(this.layers);try{for(r.s();!(n=r.n()).done;){var a=n.value;if(a.name===e)return a}}catch(e){r.e(e)}finally{r.f()}throw new Cse("No such layer: ".concat(e))}},{key:"findLayer",value:function(e){if(this.layers.length<=e)throw new Cse("Was asked to retrieve layer at index ".concat(e,", but model only ")+"has ".concat(this.layers.length," layer(s)."));return this.layers[e]}},{key:"calculateLosses",value:function(){var e=this;return X5((function(){var t,r=[],a=O(e.layers);try{for(a.s();!(t=a.n()).done;)for(var i=t.value,o=0;o<i.inboundNodes.length;++o){var s=n.nodeKey(i,o);e.containerNodes.has(s)&&r.push.apply(r,T(i.calculateLosses()))}}catch(e){a.e(e)}finally{a.f()}return r}))}},{key:"getConfig",value:function(){var e,t={name:this.name},r=this.buildNodeConversionMap(this.layers),a=[],i=O(this.layers);try{for(i.s();!(e=i.n()).done;){for(var o=e.value,s=o.getClassName(),u=o.getConfig(),c=[],l=0;l<o.inboundNodes.length;l++){var h=o.inboundNodes[l],p=n.nodeKey(o,l),f={};if(this.containerNodes.has(p)){if(h.callArgs)try{JSON.stringify(h.callArgs),f=h.callArgs}catch(e){console.warn("Layer ".concat(o.name," was passed ")+"non-serializable keyword arguments: "+"".concat(h.callArgs,". They will not be included ")+"in the serialized model (and thus will be missing at deserialization time)."),f={}}if(h.inboundLayers.length>0){for(var d=[],v=0;v<h.inboundLayers.length;v++){var m=h.inboundLayers[v],g=h.nodeIndices[v],y=h.tensorIndices[v],b=r[n.nodeKey(m,g)];null==b&&(b=0),d.push([m.name,b,y,f])}c.push(d)}}}var x={};x.name=o.name,x.className=s,x.config=u,x.inboundNodes=c,a.push(x)}}catch(e){i.e(e)}finally{i.f()}t.layers=a;for(var k=[],w=0;w<this.inputLayers.length;w++){var I=this.inputLayers[w],N=this.inputLayersNodeIndices[w],S=n.nodeKey(I,N);if(this.containerNodes.has(S)){var T=r[S];null==T&&(T=0);var E=this.inputLayersTensorIndices[w];k.push([I.name,T,E])}}t.inputLayers=k;for(var C=[],A=0;A<this.outputLayers.length;A++){var R=this.outputLayers[A],_=this.outputLayersNodeIndices[A],F=n.nodeKey(R,_);if(this.containerNodes.has(F)){var D=r[F];null==D&&(D=0);var M=this.outputLayersTensorIndices[A];C.push([R.name,D,M])}}return t.outputLayers=C,t}},{key:"stateful",get:function(){if(this._stateful)throw new Cse("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");var e,t=O(this.layers);try{for(t.s();!(e=t.n()).done;){if(e.value.stateful)return!0}}catch(e){t.e(e)}finally{t.f()}return!1}},{key:"resetStates",value:function(){var e=this;X5((function(){e.layers.forEach((function(e){e.stateful&&e.resetStates()}))}))}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>3&&void 0!==arguments[3]&&arguments[3],r={},a={};function i(e,t){e.name in a?a[e.name].push(t):a[e.name]=[t]}function o(e,t){var n,a,o=[],s=O(t);try{for(s.s();!(a=s.n()).done;){var u=a.value,c=u[0],l=u[1],h=u[2];if(n=null==u[3]?{}:u[3],!(c in r))return void i(e,t);var p=r[c];if(p.inboundNodes.length<=l)return void i(e,t);var f=p.inboundNodes[l];o.push(f.outputTensors[h])}}catch(e){s.e(e)}finally{s.f()}o.length>0&&e.apply(Mse(o),n)}function s(e){var a=e.name,o=rle(e,null!=t.customObjects?t.customObjects:{});o.setFastWeightInitDuringBuild(n),r[a]=o,e.inboundNodes.forEach((function(e){if(!(e instanceof Array))throw new Cse("Corrupted configuration, expected array for nodeData: ".concat(e));i(o,e)}))}var u,c=t.name,l=t.layers,h=O(l);try{for(h.s();!(u=h.n()).done;){var p=u.value;s(p)}}catch(e){h.e(e)}finally{h.f()}for(;!Hse(a);){var f,d=O(l);try{for(d.s();!(f=d.n()).done;){var v=f.value,m=r[v.name];if(m.name in a){var g=a[m.name];delete a[m.name];var y,b=O(g);try{for(b.s();!(y=b.n()).done;){var x=y.value;o(m,x)}}catch(e){b.e(e)}finally{b.f()}}}}catch(e){d.e(e)}finally{d.f()}}var k,w=[],I=[],N=t.inputLayers,S=O(N);try{for(S.s();!(k=S.n()).done;){var T=k.value,E=T[0],C=T[1],A=T[2];Fse(E in r);var R=r[E],_=R.inboundNodes[C].outputTensors;w.push(_[A])}}catch(e){S.e(e)}finally{S.f()}var F,D=t.outputLayers,M=O(D);try{for(M.s();!(F=M.n()).done;){var L=F.value,z=L[0],P=L[1],B=L[2];Fse(z in r);var W=r[z],U=W.inboundNodes[P].outputTensors;I.push(U[B])}}catch(e){M.e(e)}finally{M.f()}return new e({inputs:w,outputs:I,name:c})}}]),n}(wce);function Vle(e,t,n){var r=t.length;if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return null}));if(1===r)return Array.isArray(e)&&1===e.length?e:"object"===s(e)&&t[0]in e?[e[t[0]]]:[e];if(Array.isArray(e)){if(e.length!==r)throw new Error("Provided ".concat(n," is an array of ").concat(e.length," ")+"element(s), but the model has ".concat(r," outputs. ")+"Make sure a set of weights is provided for each model output.");return e}if("object"===s(e)&&Object.keys(e).length>0&&"object"===s(e[Object.keys(e)[0]])){var a=[];return t.forEach((function(t){t in e?a.push(e[t]):a.push(null)})),a}throw new Error("The model has multiple (".concat(r,") outputs, ")+"so ".concat(n," must be either an array with ")+"".concat(r," elements or an object with ").concat(t," keys. ")+"Provided ".concat(n," not understood: ").concat(JSON.stringify(e)))}function Gle(e,t){return Vle(e,t,"classWeight")}function jle(e,t,n,r){return Hle.apply(this,arguments)}function Hle(){return(Hle=c(o().mark((function e(t,n,r,a){var i,s,u;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&null==a){e.next=2;break}throw new Error("Support sampleWeight is not implemented yet");case 2:if(null==r){e.next=15;break}return i=X5((function(){if(1===t.shape.length)return p8(t);if(2===t.shape.length){if(t.shape[1]>1){return N8(t,1)}if(1===t.shape[1])return X8(t,[t.shape[0]]);throw new Error("Encountered unexpected last-dimension size (".concat(t.shape[1],") ")+"during handling of class weights. The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor (".concat(t.rank,") during ")+"handling of class weights. The rank is expected to be 1 or 2.")})),e.t0=Array,e.next=7,i.data();case 7:return e.t1=e.sent,s=e.t0.from.call(e.t0,e.t1),Y5(i),u=[],s.forEach((function(e){if(null==r[e])throw new Error("classWeight must contain all classes in the training data. "+"The class ".concat(e," exists in the data but not in ")+"classWeight");u.push(r[e])})),e.abrupt("return",Vte(u,"float32"));case 15:return e.abrupt("return",null);case 16:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function qle(e,t){return g8(e,t)}function Kle(e,t){var n,r,a=t;n=a.xs,r=a.ys,F$(null!=n&&null!=r,(function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor.  The provided Dataset instead generates "+"".concat(t)}));var i=Xle("input",e.inputNames,n),o=Xle("output",e.outputNames,r),s=i[0].shape[0];F$(i.length===e.inputs.length,(function(){return"LayersModel has ".concat(e.inputs.length," inputs, but the dataset ")+"provides ".concat(i.length," inputs.  (Expected input keys: ")+"".concat(JSON.stringify(e.inputNames),")")})),F$(o.length===e.outputs.length,(function(){return"LayersModel has ".concat(e.outputs.length," outputs, but the dataset ")+"provides ".concat(o.length," outputs.  (Expected output keys: ")+"".concat(JSON.stringify(e.outputNames),")")}));for(var u=function(t){F$(i[t].shape[0]===s,(function(){return"Batch size mismatch: input "+"".concat(e.inputNames[t]," has ").concat(i[t].shape[0],"; ")+"expected  ".concat(s," based on input ").concat(e.inputNames[0],".")}))},c=0;c<i.length;c++)u(c);for(var l=function(t){F$(o[t].shape[0]===s,(function(){return"Batch size mismatch: output "+"".concat(e.outputNames[t]," has ").concat(o[t].shape[0],"; ")+"expected  ".concat(s," based on input ").concat(e.inputNames[0],".")}))},h=0;h<o.length;h++)l(h);return{xs:i,ys:o}}function Xle(e,t,n){if(n instanceof n5)return[n];if(Array.isArray(n))return F$(n.length===t.length,(function(){return"Received an array of ".concat(n.length," Tensors, but expected ").concat(t.length," to match the ").concat(e," keys ").concat(t,".")})),n;var r,a=[],i=O(t);try{for(i.s();!(r=i.n()).done;){var o=r.value;if(null==n[o])throw new Cse("The feature data generated by the dataset lacks the required "+"".concat(e," key '").concat(o,"'."));a.push(n[o])}}catch(e){i.e(e)}finally{i.f()}return a}function Yle(e){if(3===e.length)throw new Ase("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}function Jle(e,t,n){return Zle.apply(this,arguments)}function Zle(){return Zle=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_,O,F,D,M,L,z;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=r.batchesPerEpoch,F$(null!=t.optimizer,(function(){return"You must compile a model before training/testing. 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Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&($le(r.validationData)?F$(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.validationBatches),(function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, "+"but got ".concat(r.validationBatches)})):(c=Yle(r.validationData),s=c.xs,u=c.ys)),l=t.makeTrainFunction(),h=t.getDedupedMetricsNames(),p=i?h.slice().concat(h.map((function(e){return"val_"+e}))):h.slice(),f=ele(r.callbacks,r.yieldEvery),d=null==r.verbose?1:r.verbose,v=nle(f,d,r.epochs,null,null,Qle(n,r),null,i,p),m=v.callbackList,g=v.history,m.setModel(t),t.history=g,e.next=22,m.onTrainBegin();case 22:return t.stopTraining_=!1,y=null==r.initialEpoch?0:r.initialEpoch,e.next=26,n.iterator();case 26:b=e.sent;case 27:if(!(y<r.epochs)){e.next=98;break}return x={},e.next=31,m.onEpochBegin(y);case 31:if(k=0,w=0,a){e.next=37;break}return e.next=36,n.iterator();case 36:b=e.sent;case 37:if(a&&!(k<r.batchesPerEpoch)){e.next=91;break}return e.next=40,b.next();case 40:if(I=e.sent,!a||!I.done){e.next=44;break}return console.warn("You provided `batchesPerEpoch` as "+"".concat(r.batchesPerEpoch,", ")+"but your dataset iterator ran out of data after "+"".concat(k," batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+"".concat(r.batchesPerEpoch*r.epochs," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("break",91);case 44:if(null==I.value){e.next=73;break}return N=Kle(t,I.value),S=N.xs,T=N.ys,(E={}).batch=w,E.size=S[0].shape[0],e.next=51,m.onBatchBegin(w,E);case 51:if(C=[],null==r.classWeight){e.next=64;break}A=Gle(r.classWeight,t.outputNames),R=0;case 55:if(!(R<A.length)){e.next=64;break}return e.t0=C,e.next=59,jle(T[R],null,A[R]);case 59:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 61:++R,e.next=55;break;case 64:for(_=S.concat(T).concat(C),O=l(_),Y5(_),F=0;F<h.length;++F)D=h[F],M=O[F],E[D]=M,J5(M);return e.next=70,m.onBatchEnd(w,E);case 70:Xce(E),w++,k++;case 73:if(!(a?k>=r.batchesPerEpoch:I.done)){e.next=87;break}if(!i){e.next=86;break}if(L=void 0,!$le(r.validationData)){e.next=84;break}return e.t2=Lse,e.next=80,t.evaluateDataset(r.validationData,{batches:r.validationBatches});case 80:e.t3=e.sent,L=(0,e.t2)(e.t3),e.next=85;break;case 84:L=Lse(t.evaluate(s,u,{batchSize:null==r.validationBatchSize?32:r.validationBatchSize,verbose:0}));case 85:for(z=0;z<t.metricsNames.length;++z)x["val_".concat(t.metricsNames[z])]=L[z];case 86:return e.abrupt("break",91);case 87:if(!t.stopTraining_){e.next=89;break}return e.abrupt("break",91);case 89:e.next=37;break;case 91:return e.next=93,m.onEpochEnd(y,x);case 93:if(y++,!t.stopTraining_){e.next=96;break}return e.abrupt("break",98);case 96:e.next=27;break;case 98:return e.next=100,m.onTrainEnd();case 100:return e.next=102,t.history.syncData();case 102:return e.abrupt("return",t.history);case 103:return e.prev=103,t.isTraining=!1,e.finish(103);case 106:case"end":return e.stop()}}),e,null,[[9,,103,106]])}))),Zle.apply(this,arguments)}function Qle(e,t){var n=null;return null!=t.batchesPerEpoch?n=t.batchesPerEpoch:Number.isFinite(e.size)&&(n=e.size),n}function $le(e){return"function"==typeof e.iterator}function ehe(e){return"function"==typeof e.next}function the(e,t,n){return nhe.apply(this,arguments)}function nhe(){return nhe=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(a=null!=(r=r||{}).batches,i=t.testFunction,s=[],!(r.verbose>0)){e.next=6;break}throw new Ase("Verbose mode is not implemented yet.");case 6:if(F$(!a||r.batches>0&&Number.isInteger(r.batches),(function(){return"Test loop expects `batches` to be a positive integer, but "+"received ".concat(JSON.stringify(r.batches))})),!ehe(n)){e.next=11;break}e.t0=n,e.next=14;break;case 11:return e.next=13,n.iterator();case 13:e.t0=e.sent;case 14:u=e.t0,c=0,l=0,h=o().mark((function e(){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,u.next();case 2:if(n=e.sent,s=X5((function(){if(n.value){var e=Kle(t,n.value),r=e.xs,a=e.ys,o=r.concat(a),u=X5((function(){return i(o)}));if(Y5(o),0===l)for(var h=0;h<u.length;++h)s.push(i9(0));for(var p=o[0].shape[0],f=function(e){var t=u[e],n=s[e];s[e]=X5((function(){return d8(s[e],g8(p,t))})),l>0&&Y5(n)},d=0;d<u.length;++d)f(d);Y5(u),c+=p,++l}return s})),!n.done){e.next=7;break}return a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+"batches (in this case, ".concat(r.batches," batches). ")+"You may need to use the repeat() function when building your dataset."),e.abrupt("return","break");case 7:case"end":return e.stop()}}),e)}));case 18:if(a&&!(l<r.batches)){e.next=25;break}return e.delegateYield(h(),"t1",20);case 20:if("break"!==e.t1){e.next=23;break}return e.abrupt("break",25);case 23:e.next=18;break;case 25:for(p=0;p<s.length;++p)f=s[p],s[p]=m8(s[p],c),Y5(f);return e.abrupt("return",Mse(s));case 27:case"end":return e.stop()}}),e)}))),nhe.apply(this,arguments)}function rhe(e){F$(e>0&&Number.isInteger(e),(function(){return"batchSize is required to be a positive integer, but got ".concat(e)}))}function ahe(e,t,n){return null==e?[null]:Array.isArray(e)?e.map((function(e){return Sue(e,t,n-t)})):Sue(e,t,n-t)}function ihe(e,t){return X5((function(){return null==e?null:Array.isArray(e)?e.map((function(e){return ihe(e,t)})):Fue(e,"int32"===t.dtype?t:h8(t,"int32"))}))}function ohe(e,t){for(var n=[],r=0,a=null;r<e;)(a=r+t)>=e&&(a=e),n.push([r,a]),r=a;return n}function she(e){var t=[];e instanceof n5&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(Iue(r,1));else{if(0===r.rank)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(r)}}return t}function uhe(e,t){if(null!=e){var n=[];if(t instanceof n5)n.push(t.id);else if(Array.isArray(t))t.forEach((function(e){return n.push(e.id)}));else if(null!=t)for(var r in t){var a=t[r];n.push(a.id)}var i=[];if(e instanceof n5)-1===n.indexOf(e.id)&&i.push(e);else if(Array.isArray(e))e.forEach((function(e){-1===n.indexOf(e.id)&&i.push(e)}));else if(null!=e)for(var o in e){var s=e[o];-1===n.indexOf(s.id)&&i.push(s)}i.forEach((function(e){e.isDisposed||e.dispose()}))}}function che(e){return Array.isArray(e)}function lhe(e){return!function(e){return e instanceof n5}(e)&&!che(e)}function hhe(e,t,n){var r,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"";if(null==t||0===t.length){if(null!=e){var o=!1;if(che(e)&&e.length>0)o=!0;else if(lhe(e)){for(var s in e)if(e.hasOwnProperty(s)){o=!0;break}}else o=!0;if(o)throw new Cse("Error when checking model ".concat(i," expected no data, ")+"but got ".concat(e))}return[]}if(null==e)return t.map((function(e){return null}));if(lhe(e)){r=[];var u,c=O(t);try{for(c.s();!(u=c.n()).done;){var l=u.value;if(null==e[l])throw new Cse('No data provided for "'.concat(l,'". 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Got array shapes: "+"".concat(JSON.stringify(e.map((function(e){return e.shape})))));if(a.length>1)throw new Cse("All target Tensors (y) should have the same number of samples. Got array shapes: "+"".concat(JSON.stringify(t.map((function(e){return e.shape})))));if(r.length>0&&a.length>0&&!P$(r,a))throw new Cse("Input Tensors should have the same number of samples as target "+"Tensors. Found ".concat(r[0]," input sample(s) and ").concat(a[0]," target ")+"sample(s).")}function fhe(e,t,n){for(var r=[ile,hle,cle],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===cle&&1===i.shape[i.shape.length-1])throw new Cse("You are passing a target array of shape ".concat(i.shape," while using ")+"a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),c=s.slice(1),l=0;l<u.length;++l){var h=u[l],p=c[l];if(null!=p&&h!==p)throw new Cse("A target Tensor with shape ".concat(i.shape," was passed for an ")+"output of shape ".concat(s,", while using a loss function that ")+"expects targets to have the same shape as the output.")}}}}function dhe(e,t,n){var r,a=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"";if(Array.isArray(e)){if(e.length!==t.length)throw new Cse("Error when checking model ".concat(i,": the Array of ")+"Tensors that you are passing to your model is not the size the "+"the model expected. Expected to see ".concat(t.length," Tensor(s),")+" but instead got ".concat(e.length," Tensors(s)."));r=e}else{if(t.length>1)throw new Cse("The model expects ".concat(t.length," ").concat(i," Tensors, ")+"but only received one Tensor. Found: array with shape "+"".concat(JSON.stringify(e.shape),"."));r=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=r[o];if(s.shape.length!==n[o].length)throw new Cse("Error when checking ".concat(i,": expected ").concat(t[o]," ")+"to have ".concat(n[o].length," dimension(s), but got array with ")+"shape ".concat(JSON.stringify(s.shape)));for(var u=0;u<n[o].length;++u)if(0!==u||a){var c=s.shape[u],l=n[o][u];if(null!=l&&l!==c)throw new Cse("Error when checking ".concat(i,": expected ")+"".concat(t[o]," to have shape ").concat(JSON.stringify(n[o])," but ")+"got array with shape ".concat(JSON.stringify(s.shape),"."))}}}var vhe=function(e){d(m,e);var t,n,r,a,i,u,h,f=w(m);function m(e){var t;return l(this,m),(t=f.call(this,e)).isTraining=!1,t}return p(m,[{key:"summary",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:console.log;if(!this.built)throw new Cse("This model has never been called, thus its weights have not been created yet. 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The model has ".concat(this.outputs.length," output(s), ")+"but you passed loss=".concat(e.loss,"."));var r=e.loss;n=r.map((function(e){return vle(e)}))}else{var a=vle(e.loss);this.outputs.forEach((function(e){n.push(a)}))}else{for(var i in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(i))throw new Cse('Unknown entry in loss dictionary: "'.concat(i,'". ')+"Only expected the following keys: ".concat(this.outputNames));var o,u=O(this.outputNames);try{for(u.s();!(o=u.n()).done;){var c=o.value;null==e.loss[c]&&console.warn('Output "'.concat(c,'" is missing from loss dictionary. 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e.read()}));return[e.optimizer_.minimize((function(){for(var t=[],s=0;s<e.inputs.length;++s)t.push({key:e.inputs[s],value:r[s]});for(var u,c=new Tce(t),l=Ace(e.outputs,c,{training:!0}),h=0;h<e.lossFunctions.length;++h){var p=(0,e.lossFunctions[h])(a[h],l[h]);null!=i[h]&&(p=qle(p,i[h]));var f=Q9(p);n.push(f),u=0===h?p:d8(u,p)}for(var d=0;d<e.metricsTensors.length;++d){var v=void 0;if(e.outputs.length>1&&d<e.outputs.length)v=n[d];else{var m=e.metricsTensors[d][0],g=e.metricsTensors[d][1];v=Q9(m(a[g],l[g]))}J5(v),o.push(v)}return u=Q9(u),e.calculateLosses().forEach((function(e){u=d8(u,e)})),u}),!0,s)].concat(o)}}},{key:"makeTestFunction",value:function(){var e=this;this.testFunction=function(t){return X5((function(){for(var n,r=[],a=t.slice(0,e.inputs.length),i=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:a[s]});for(var u=new Tce(o),c=Ace(e.outputs,u),l=0;l<e.lossFunctions.length;++l){var h=e.lossFunctions[l],p=Q9(h(i[l],c[l]));n=0===l?p:d8(n,p),r.push(n)}for(var f=0;f<e.metricsTensors.length;++f){var d=e.metricsTensors[f][0],v=e.metricsTensors[f][1],m=Q9(d(i[v],c[v]));r.push(m)}return r}))}}},{key:"fit",value:(i=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(r=R.length>2&&void 0!==R[2]?R[2]:{},!this.isTraining){e.next=3;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 3:return this.isTraining=!0,e.prev=4,rhe(d=null==r.batchSize?32:r.batchSize),v=!1,e.next=10,this.standardizeUserData(t,n,r.sampleWeight,r.classWeight,v,d);case 10:if(m=e.sent,a=m[0],i=m[1],f=m[2],g=!1,!(null!=r.validationData&&r.validationData.length>0)){e.next=36;break}if(g=!0,2!==r.validationData.length){e.next=22;break}c=r.validationData[0],l=r.validationData[1],e.next=27;break;case 22:if(3!==r.validationData.length){e.next=26;break}throw new Ase("validationData including sample weights is not supported yet.");case 26:throw new Cse("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+"".concat(r.validationData," is invalid."));case 27:return b=!0,e.next=30,this.standardizeUserData(c,l,null,null,b,d);case 30:x=e.sent,h=x[0],p=x[1],y=h.concat(p),e.next=37;break;case 36:null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(g=!0,k=Math.floor(a[0].shape[0]*(1-r.validationSplit)),w=a[0].shape[0],h=ahe(a,k,w),s=a,a=ahe(a,0,k),p=ahe(i,k,w),u=i,i=ahe(i,0,k),y=h.concat(p)):null!=r.validationSteps&&(g=!0);case 37:return 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l(this,n),r=t.call(this),jhe(e),r.l1=null==e||null==e.l1?.01:e.l1,r.l2=null==e||null==e.l2?.01:e.l2,r.hasL1=0!==r.l1,r.hasL2=0!==r.l2,r}return p(n,[{key:"apply",value:function(e){var t=this;return X5((function(){var n=$9([1]);return t.hasL1&&(n=d8(n,u9(g8(t.l1,y8(e))))),t.hasL2&&(n=d8(n,u9(g8(t.l2,Due(e))))),X8(n,[])}))}},{key:"getConfig",value:function(){return{l1:this.l1,l2:this.l2}}}],[{key:"fromConfig",value:function(e,t){return new e({l1:t.l1,l2:t.l2})}}]),n}(Hhe);qhe.className="L1L2",Kre(qhe);var Khe={l1l2:"L1L2"};function Xhe(e){return Wse(e)}function Yhe(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return Vse(e,qre.getMap().classNameMap,t,"regularizer")}function Jhe(e){return null==e?null:"string"==typeof e?Yhe({className:e in Khe?Khe[e]:e,config:{}}):e instanceof Hhe?e:Yhe(e)}var Zhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,null!=e&&(r.maxValue=e.maxValue),r}return p(n,[{key:"call",value:function(e,t){e=lce(e);var n=lte(e);return null!=this.maxValue&&(n=d7(n,0,this.maxValue)),n}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={maxValue:this.maxValue},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);Zhe.className="ReLU",Kre(Zhe);var Qhe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=.3,null==e&&(e={}),r.alpha=null==e.alpha?r.DEFAULT_ALPHA:e.alpha,r}return p(n,[{key:"call",value:function(e,t){var n=lce(e);return S9(n,this.alpha)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);Qhe.className="LeakyReLU",Kre(Qhe);var $he=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),r.supportsMasking=!0,r.alphaInitializer=sce(e.alphaInitializer||r.DEFAULT_ALPHA_INITIALIZER),r.alphaRegularizer=Jhe(e.alphaRegularizer),r.alphaConstraint=Vce(e.alphaConstraint),null==e.sharedAxes)r.sharedAxes=null;else if(Array.isArray(e.sharedAxes))r.sharedAxes=e.sharedAxes;else{if("number"!=typeof e.sharedAxes)throw new Cse("Expected sharedAxes to be a number or an array of numbers, "+"but got ".concat(e.sharedAxes));r.sharedAxes=[e.sharedAxes]}return r}return p(n,[{key:"build",value:function(e){var t=(e=hce(e)).slice(1);if(null!=this.sharedAxes){var n,r=O(this.sharedAxes);try{for(r.s();!(n=r.n()).done;){t[n.value-1]=1}}catch(e){r.e(e)}finally{r.f()}}this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<e.length;++i)a[i]=e[i];this.inputSpec=[new gce({ndim:e.length,axes:a})],this.built=!0}},{key:"call",value:function(e,t){return e=lce(e),bee(e,this.alpha.read())}},{key:"getConfig",value:function(){var e={alphaInitializer:oce(this.alphaInitializer),alphaRegularizer:Xhe(this.alphaRegularizer),alphaConstraint:Wce(this.alphaConstraint),sharedAxes:this.sharedAxes},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);$he.className="PReLU",Kre($he);var epe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=1,null==e&&(e={}),null!=e.alpha&&e.alpha!==r.DEFAULT_ALPHA)throw new Ase("Non-default alpha value (".concat(e.alpha,") is not supported by the ")+"ELU layer yet.");return r.alpha=null==e.alpha?r.DEFAULT_ALPHA:e.alpha,r}return p(n,[{key:"call",value:function(e,t){var n=lce(e);return H7(n)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);epe.className="ELU",Kre(epe);var tpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_THETA=1,null==e&&(e={}),r.theta=null==e.theta?r.DEFAULT_THETA:e.theta,r}return p(n,[{key:"call",value:function(e,t){var n=lce(e);return g8(n,h8(b9(n,this.theta),"float32"))}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={theta:this.theta},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);tpe.className="ThresholdedReLU",Kre(tpe);var npe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_AXIS=1,null==e&&(e={}),r.softmax=(new Mhe).apply,r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r}return p(n,[{key:"call",value:function(e,t){var n=this;return X5((function(){var r=lce(e),a=t.mask;if(null!=a){var i=g8(P9(eee(r.shape),h8(a,r.dtype)),i9(-1e9));r=d8(r,i)}return n.axis instanceof Array?n.axis.length>1?p9(P9(r,W9(r,n.axis,!0))):n.softmax(r,n.axis[0]):n.softmax(r,n.axis)}))}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={axis:this.axis},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);function rpe(e,t,n){if("number"==typeof e)return Ose(e,t);if(e.length!==t)throw new Cse("The ".concat(n," argument must be an integer or tuple of ").concat(t," integers.")+" Received: ".concat(e.length," elements."));for(var r=0;r<t;++r){var a=e[r];if((i=a)!==parseInt(i.toString(),10))throw new Cse("The ".concat(n," argument must be an integer or tuple of ").concat(t)+" integers. Received: ".concat(JSON.stringify(e)," including a")+" non-integer number ".concat(a))}return e;var i}function ape(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:1;if(null==e)return e;var i,o=t+(t-1)*(a-1);return i="same"===n?e:e-o+1,Math.floor((i+r-1)/r)}function ipe(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+bue([n-t,0]);else{if("same"!==r)throw new Cse("Unsupport padding mode: ".concat(r,"."));e*=t}return e}function ope(e,t){return X5((function(){return sue(t),"channelsFirst"===t?hne(e,[0,2,3,1]):e}))}function spe(e,t){return X5((function(){return sue(t),"channelsFirst"===t?hne(e,[0,2,3,4,1]):e}))}function upe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:1;return X5((function(){if(null==i&&(i="channelsLast"),sue(i),3!==e.shape.length)throw new Cse("The input of a conv1dWithBias operation should be 3, but is "+"".concat(e.shape.length," instead."));if(3!==t.shape.length)throw new Cse("The kernel for a conv1dWithBias operation should be 3, but is "+"".concat(t.shape.length," instead"));if(null!=n&&1!==n.shape.length)throw new Cse("The bias for a conv1dWithBias operation should be 1, but is "+"".concat(n.shape.length," instead"));if("channelsFirst"===i&&(e=hne(e,[0,2,1])),"causal"===a)throw new Ase("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=x7(e,t,r,"same"===a?"same":"valid","NWC",o);return null!=n&&(s=Lue(s,n)),s}))}function cpe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0,s=arguments.length>7&&void 0!==arguments[7]?arguments[7]:null;return X5((function(){if(null==i&&(i="channelsLast"),sue(i),3!==e.rank&&4!==e.rank)throw new Cse("conv2dWithBiasActivation expects input to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));if(3!==t.rank&&4!==t.rank)throw new Cse("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));var u=ope(e,i);if("causal"===a)throw new Ase("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=Ene({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=hne(u,[0,3,1,2])),u}))}function lpe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1,1],a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6?arguments[6]:void 0;return X5((function(){if(null==i&&(i="channelsLast"),sue(i),4!==e.rank&&5!==e.rank)throw new Cse("conv3dWithBias expects input to be of rank 4 or 5, but received "+"".concat(e.rank,"."));if(4!==t.rank&&5!==t.rank)throw new Cse("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+"".concat(e.rank,"."));var s=spe(e,i);if("causal"===a)throw new Ase("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=I7(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=Lue(s,n)),"channelsFirst"===i&&(s=hne(s,[0,4,1,2,3])),s}))}npe.className="Softmax",Kre(npe);var hpe=function(e){d(n,e);var t=w(n);function n(e,r){var a;if(l(this,n),(a=t.call(this,r)).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",n.verifyArgs(r),a.rank=e,Xse(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new Ase("Convolution layer for rank other than 1, 2, or 3 (".concat(a.rank,") is ")+"not implemented yet.");if(a.kernelSize=rpe(r.kernelSize,e,"kernelSize"),a.strides=rpe(null==r.strides?1:r.strides,e,"strides"),a.padding=null==r.padding?"valid":r.padding,uue(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,sue(a.dataFormat),a.activation=Ghe(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=sce(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=Vce(r.biasConstraint),a.biasRegularizer=Jhe(r.biasRegularizer),a.activityRegularizer=Jhe(r.activityRegularizer),a.dilationRate=rpe(null==r.dilationRate?1:r.dilationRate,e,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new Cse("dilationRate must be a number or an array of a single number for 1D convolution, but received "+"".concat(JSON.stringify(a.dilationRate)));if(2===a.rank){if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new Cse("dilationRate must be a number or array of two numbers for 2D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)))}else if(3===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new Cse("dilationRate must be a number or array of three numbers for 3D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)));return a}return p(n,[{key:"getConfig",value:function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Uhe(this.activation),useBias:this.useBias,biasInitializer:oce(this.biasInitializer),biasRegularizer:Xhe(this.biasRegularizer),activityRegularizer:Xhe(this.activityRegularizer),biasConstraint:Wce(this.biasConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(Fse("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!Kse(e.kernelSize,"number",1,3))throw new Cse("BaseConv expects config.kernelSize to be number or number[] with "+"length 1, 2, or 3, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(wce),ppe=function(e){d(n,e);var t=w(n);function n(e,r){var a;return l(this,n),(a=t.call(this,e,r)).kernel=null,n.verifyArgs(r),a.filters=r.filters,Xse(a.filters,"filters"),a.kernelInitializer=sce(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=Vce(r.kernelConstraint),a.kernelRegularizer=Jhe(r.kernelRegularizer),a}return p(n,[{key:"build",value:function(e){e=hce(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Cse("The channel dimension of the input should be defined. "+"Found ".concat(e[t]));var n=e[t],r=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",r,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:f({},t,n)}],this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){var t;e=lce(e);var r=null==n.bias?null:n.bias.read(),a=Jse(n.activation.getClassName());if(null!=a&&2===n.rank)t=cpe(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=upe(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=cpe(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new Ase("convolutions greater than 3D are not implemented yet.");t=lpe(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))}},{key:"computeOutputShape",value:function(e){e=hce(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=ape(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var i=[e[0]];return"channelsLast"===this.dataFormat?(i=i.concat(t)).push(this.filters):(i.push(this.filters),i=i.concat(t)),i}},{key:"getConfig",value:function(){var e={filters:this.filters,kernelInitializer:oce(this.kernelInitializer),kernelRegularizer:Xhe(this.kernelRegularizer),kernelConstraint:Wce(this.kernelConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new Cse("Convolution layer expected config.filters to be a 'number' > 0 "+"but got ".concat(JSON.stringify(e.filters)))}}]),n}(hpe),fpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,2,e),n.verifyArgs(e),r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Kse(e.kernelSize,"number",1,2))throw new Cse("Conv2D expects config.kernelSize to be number or number[] with "+"length 1 or 2, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(ppe);fpe.className="Conv2D",Kre(fpe);var dpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,3,e),n.verifyArgs(e),r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new Cse("Conv3D expects config.kernelSize to be number or"+" [number, number, number], but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(ppe);dpe.className="Conv3D",Kre(dpe);var vpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).inputSpec=[new gce({ndim:4})],"same"!==r.padding&&"valid"!==r.padding)throw new Cse("Conv2DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return p(n,[{key:"build",value:function(e){if(4!==(e=hce(e)).length)throw new Cse("Input should have rank 4; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Cse("The channel dimension of the inputs should be defined. Found `None`.");var n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new gce({ndim:4,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){var t=lce(e);if(4!==t.shape.length)throw new Cse("Conv2DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i=t.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],c=n.kernelSize[0],l=n.kernelSize[1],h=n.strides[0],p=n.strides[1],f=[o,ipe(s,h,c,n.padding),ipe(u,p,l,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=hne(t,[0,2,3,1]));var d=w7(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=hne(d,[0,3,1,2])),null!=n.bias&&(d=Lue(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=(e=hce(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=ipe(a[n],s,i,this.padding),a[r]=ipe(a[r],u,o,this.padding),a}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(fpe);vpe.className="Conv2DTranspose",Kre(vpe);var mpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).inputSpec=[new gce({ndim:5})],"same"!==r.padding&&"valid"!==r.padding)throw new Cse("Conv3DTranspose currently supports only padding modes 'same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return p(n,[{key:"build",value:function(e){if(5!==(e=hce(e)).length)throw new Cse("Input should have rank 5; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new Cse("The channel dimension of the inputs should be defined. Found `None`.");var n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new gce({ndim:5,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){var t=lce(e);if(5!==t.shape.length)throw new Cse("Conv3DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(i=2,r=3,a=4):(i=1,r=2,a=3);var u=o[i],c=o[r],l=o[a],h=n.kernelSize[0],p=n.kernelSize[1],f=n.kernelSize[2],d=n.strides[0],v=n.strides[1],m=n.strides[2],g=[s,ipe(u,d,h,n.padding),ipe(c,v,p,n.padding),ipe(l,m,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=hne(t,[0,2,3,4,1]));var y=S7(t,n.kernel.read(),g,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(y=hne(y,[0,4,1,2,3])),null!==n.bias&&(y=Lue(y,n.bias.read(),n.dataFormat)),null!==n.activation&&(y=n.activation.apply(y)),y}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a,i=(e=hce(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3,a=4):(t=4,n=1,r=2,a=3);var o=this.kernelSize[0],s=this.kernelSize[1],u=this.kernelSize[2],c=this.strides[0],l=this.strides[1],h=this.strides[2];return i[t]=this.filters,i[n]=ipe(i[n],c,o,this.padding),i[r]=ipe(i[r],l,s,this.padding),i[a]=ipe(i[a],h,u,this.padding),i}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(dpe);mpe.className="Conv3DTranspose",Kre(mpe);var gpe=function(e){d(n,e);var t=w(n);function n(e,r){var a;if(l(this,n),(a=t.call(this,e,r)).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",a.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",a.depthwiseKernel=null,a.pointwiseKernel=null,null==r.filters)throw new Cse("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=r.kernelInitializer||null!=r.kernelRegularizer||null!=r.kernelConstraint)throw new Cse("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=r.padding&&"same"!==r.padding&&"valid"!==r.padding)throw new Cse("SeparableConv".concat(a.rank,"D supports only padding modes: ")+"'same' and 'valid', but received ".concat(JSON.stringify(r.padding)));return a.depthMultiplier=null==r.depthMultiplier?1:r.depthMultiplier,a.depthwiseInitializer=sce(r.depthwiseInitializer||a.DEFAULT_DEPTHWISE_INITIALIZER),a.depthwiseRegularizer=Jhe(r.depthwiseRegularizer),a.depthwiseConstraint=Vce(r.depthwiseConstraint),a.pointwiseInitializer=sce(r.depthwiseInitializer||a.DEFAULT_POINTWISE_INITIALIZER),a.pointwiseRegularizer=Jhe(r.pointwiseRegularizer),a.pointwiseConstraint=Vce(r.pointwiseConstraint),a}return p(n,[{key:"build",value:function(e){if((e=hce(e)).length<this.rank+2)throw new Cse("Inputs to SeparableConv".concat(this.rank,"D should have rank ")+"".concat(this.rank+2,", but received input shape: ")+"".concat(JSON.stringify(e)));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new Cse("The channel dimension of the inputs should be defined, "+"but found ".concat(JSON.stringify(e[t])));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),a=[],i=0;i<this.rank;++i)a.push(1);a.push(n*this.depthMultiplier,this.filters);var o=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",r,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,o,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",a,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,o,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,o,this.biasConstraint):this.bias=null,this.inputSpec=[new gce({ndim:this.rank+2,axes:f({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){var t;if(e=lce(e),1===n.rank)throw new Ase("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=hne(e,[0,2,3,1])),t=xte(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Lue(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=hne(t,[0,3,1,2])),t}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=oce(this.depthwiseInitializer),e.pointwiseInitializer=oce(this.pointwiseInitializer),e.depthwiseRegularizer=Xhe(this.depthwiseRegularizer),e.pointwiseRegularizer=Xhe(this.pointwiseRegularizer),e.depthwiseConstraint=Wce(this.depthwiseConstraint),e.pointwiseConstraint=Wce(this.pointwiseConstraint),e}}]),n}(ppe);gpe.className="SeparableConv";var ype=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,2,e)}return p(n)}(gpe);ype.className="SeparableConv2D",Kre(ype);var bpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,1,e),n.verifyArgs(e),r.inputSpec=[{ndim:3}],r}return p(n,[{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.dataFormat,e}}],[{key:"verifyArgs",value:function(e){if("number"!=typeof e.kernelSize&&!Kse(e.kernelSize,"number",1,1))throw new Cse("Conv1D expects config.kernelSize to be number or number[] with "+"length 1, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(ppe);bpe.className="Conv1D",Kre(bpe);var xpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),r=t.call(this,e),"number"==typeof e.cropping?r.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"==typeof e.cropping[0]?r.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:r.cropping=e.cropping,r.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,r.inputSpec=[{ndim:4}],r}return p(n,[{key:"computeOutputShape",value:function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}},{key:"call",value:function(e,t){var n=this;return X5((function(){if(e=lce(e),"channelsLast"===n.dataFormat){var t=Eue(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return Eue(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=Eue(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return Eue(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))}},{key:"getConfig",value:function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);xpe.className="Cropping2D",Kre(xpe);var kpe=function(e){d(n,e);var t=w(n);function n(e){var r,a;return l(this,n),(r=t.call(this,e)).DEFAULT_SIZE=[2,2],r.inputSpec=[{ndim:4}],r.size=null==e.size?r.DEFAULT_SIZE:e.size,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,sue(r.dataFormat),r.interpolation=null==e.interpolation?"nearest":e.interpolation,a=r.interpolation,qse(nue,"InterpolationFormat",a),r}return p(n,[{key:"computeOutputShape",value:function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}var r=null==e[1]?null:this.size[0]*e[1],a=null==e[2]?null:this.size[1]*e[2];return[e[0],r,a,e[3]]}},{key:"call",value:function(e,t){var n=this;return X5((function(){var t=lce(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=hne(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o="nearest"===n.interpolation?Pre.resizeNearestNeighbor(t,[a,i]):Pre.resizeBilinear(t,[a,i]);return hne(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return"nearest"===n.interpolation?Pre.resizeNearestNeighbor(t,[s,u]):Pre.resizeBilinear(t,[s,u])}))}},{key:"getConfig",value:function(){var e={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);kpe.className="UpSampling2D",Kre(kpe);var wpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,2,e)).depthwiseKernel=null,r.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,r.depthwiseInitializer=sce(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=Vce(e.depthwiseConstraint),r.depthwiseRegularizer=Jhe(e.depthwiseRegularizer),r}return p(n,[{key:"build",value:function(e){if((e=hce(e)).length<4)throw new Cse("Inputs to DepthwiseConv2D should have rank 4. "+"Received input shape: ".concat(JSON.stringify(e),"."));var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new Cse("The channel dimension of the inputs to DepthwiseConv2D should "+"be defined, but is not (".concat(e[t],")."));var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){var t=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[1,1],r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"valid",a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0;return X5((function(){null==a&&(a="channelsLast"),sue(a);var o=ope(e,a);if(4!==e.rank)throw new Cse("Input for depthwiseConv2d is required to be 4-D, but is instead "+"".concat(e.rank,"-D"));if(4!==t.rank)throw new Cse("depthwiseKernel is required to be 4-D, but is instead "+"".concat(t.rank,"-D"));return o=O7(o,t,n,"same"===r?"same":"valid","NHWC",i),"channelsFirst"===a&&(o=hne(o,[0,3,1,2])),o}))}(e=lce(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=Lue(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t}))}},{key:"computeOutputShape",value:function(e){e=hce(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=ape(t,this.kernelSize[0],this.padding,this.strides[0]),i=ape(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=oce(this.depthwiseInitializer),e.depthwiseRegularizer=Xhe(this.depthwiseRegularizer),e.depthwiseConstraint=Wce(this.depthwiseRegularizer),e}}]),n}(hpe);function Ipe(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new Cse("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function Npe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],a=arguments.length>4?arguments[4]:void 0,i=arguments.length>5?arguments[5]:void 0,o=arguments.length>6&&void 0!==arguments[6]&&arguments[6],s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];return X5((function(){var u=t.shape.length;if(u<3)throw new Cse("Input should be at least 3D, but is ".concat(u,"D."));var c=[1,0].concat(xue(2,u));if(t=hne(t,c),null!=i)throw new Ase("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=h8(h8(a,"bool"),"float32")).rank===u-1&&(a=f9(a,-1)),a=hne(a,c)),r&&(t=pte(t,0),null!=a&&(a=pte(a,0)));var l,h,p=[],f=n,d=t.shape[0],v=rne(t);null!=a&&(h=rne(a));for(var m,g=function(t){var n=v[t],r=X5((function(){return e(n,f)}));if(null==a)l=r[0],f=r[1];else{var i=X5((function(){var e=h[t],n=P9(lee(e),e);return{output:d8(g8(r[0],e),g8(f[0],n)),newStates:f.map((function(t,a){return d8(g8(r[1][a],e),g8(t,n))}))}}));l=i.output,f=i.newStates}s&&p.push(l)},y=0;y<d;++y)g(y);if(s){m=Pte(p,1)}return[l,m,f]}))}wpe.className="DepthwiseConv2D",Kre(wpe);var Spe=function(e){d(n,e);var t=w(n);function n(e){var r,a;if(l(this,n),r=t.call(this,e),null==e.cell)throw new Cse("cell property is missing for the constructor of RNN.");if(null==(a=Array.isArray(e.cell)?new Fpe({cells:e.cell}):e.cell).stateSize)throw new Cse("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=a,r.returnSequences=null!=e.returnSequences&&e.returnSequences,r.returnState=null!=e.returnState&&e.returnState,r.goBackwards=null!=e.goBackwards&&e.goBackwards,r._stateful=null!=e.stateful&&e.stateful,r.unroll=null!=e.unroll&&e.unroll,r.supportsMasking=!0,r.inputSpec=[new gce({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return p(n,[{key:"getStates",value:function(){return null==this.states_?xue(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_}},{key:"setStates",value:function(e){this.states_=e}},{key:"computeOutputShape",value:function(e){uce(e)&&(e=e[0]);var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){var a,i=[],o=O(t);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push([e[0],s])}}catch(e){o.e(e)}finally{o.f()}return[n].concat(i)}return n}},{key:"computeMask",value:function(e,t){var n=this;return X5((function(){Array.isArray(t)&&(t=t[0]);var e=n.returnSequences?t:null;if(n.returnState){var r=n.states.map((function(e){return null}));return[e].concat(r)}return e}))}},{key:"states",get:function(){if(null==this.states_){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[],n=0;n<e;++n)t.push(null);return t}return this.states_},set:function(e){this.states_=e}},{key:"build",value:function(e){if(null!=this.numConstants)throw new Ase("Constants support is not implemented in RNN yet.");uce(e)&&(e=e[0]);var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new gce({shape:[t,null].concat(T(n))});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!P$(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new Cse("An initialState was passed that is not compatible with "+"cell.stateSize. Received stateSpec=".concat(this.stateSpec,"; ")+"However cell.stateSize is ".concat(this.cell.stateSize))}else this.stateSpec=r.map((function(e){return new gce({shape:[null,e]})}));this.stateful&&this.resetStates()}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];X5((function(){if(!t.stateful)throw new Tse("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape[0];if(null==r)throw new Cse("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.states_)Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return $9([r,e])})):t.states_=[$9([r,t.cell.stateSize])];else if(null==e)Y5(t.states_),null!=t.keptStates&&(Y5(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return $9([r,e])})):t.states_[0]=$9([r,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new Cse("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));!0===n?t.keptStates.push(t.states_.slice()):Y5(t.states_);for(var a=0;a<t.states_.length;++a){var i=e[a],o=Array.isArray(t.cell.stateSize)?t.cell.stateSize[a]:t.cell.stateSize,s=[r,o];if(!P$(i.shape,s))throw new Cse("State ".concat(a," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(s,", received shape=").concat(i.shape));t.states_[a]=i}}t.states_=t.states_.map((function(e){return J5(e.clone())}))}))}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=Ipe(e,r,a,this.numConstants);e=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){t.initialState=r,o=o.concat(r),this.stateSpec=[];var u,c=O(r);try{for(c.s();!(u=c.n()).done;){var l=u.value;this.stateSpec.push(new gce({shape:l.shape}))}}catch(e){c.e(e)}finally{c.f()}s=s.concat(this.stateSpec)}if(null!=a&&(t.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof yce){var h=[e].concat(o),p=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=p;var d=N(v(n.prototype),"apply",this).call(this,h,t);return this.inputSpec=f,d}return N(v(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return X5((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=lce(e),null==i&&(i=n.stateful?n.states_:n.getInitialState(e));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new Cse("RNN Layer has ".concat(o," state(s) but was passed ")+"".concat(i.length," initial state(s)."));n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=Npe((function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]}),e,i,n.goBackwards,r,null,n.unroll,n.returnSequences),c=u[0],l=u[1],h=u[2];n.stateful&&n.resetStates(h,a);var p=n.returnSequences?l:c;return n.returnState?[p].concat(h):p}))}},{key:"getInitialState",value:function(e){var t=this;return X5((function(){var n=$9(e.shape);return n=Iue(n=u9(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?Rue(n,[1,e]):n})):t.cell.stateSize>1?[Rue(n,[1,t.cell.stateSize])]:[n]}))}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var r=this.cell.getConfig();return this.getClassName()===n.className&&(t.cell={className:this.cell.getClassName(),config:r}),Object.assign(Object.assign(Object.assign({},r),e),t)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.cell,a=rle(r,n);return new e(Object.assign(t,{cell:a}))}}]),n}(wce);Spe.className="RNN",Kre(Spe);var Tpe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n)}(wce),Epe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,Xse(r.units,"units"),r.activation=Ghe(null==e.activation?r.DEFAULT_ACTIVATION:e.activation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=sce(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=sce(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=sce(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Jhe(e.kernelRegularizer),r.recurrentRegularizer=Jhe(e.recurrentRegularizer),r.biasRegularizer=Jhe(e.biasRegularizer),r.kernelConstraint=Vce(e.kernelConstraint),r.recurrentConstraint=Vce(e.recurrentConstraint),r.biasConstraint=Vce(e.biasConstraint),r.dropout=yue([1,bue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=yue([1,bue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){e=hce(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){if(2!==e.length)throw new Cse("SimpleRNNCell expects 2 input Tensors, got ".concat(e.length,"."));var r=e[1];e=e[0];var a,i=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Dpe({ones:function(){return lee(e)},rate:n.dropout,training:i,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Dpe({ones:function(){return lee(r)},rate:n.recurrentDropout,training:i,dropoutFunc:n.dropoutFunc}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=Oue(null!=o?g8(e,o):e,n.kernel.read()),null!=n.bias&&(a=Lue(a,n.bias.read())),null!=s&&(r=g8(r,s));var u=d8(a,Oue(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Uhe(this.activation),useBias:this.useBias,kernelInitializer:oce(this.kernelInitializer),recurrentInitializer:oce(this.recurrentInitializer),biasInitializer:oce(this.biasInitializer),kernelRegularizer:Xhe(this.kernelRegularizer),recurrentRegularizer:Xhe(this.recurrentRegularizer),biasRegularizer:Xhe(this.biasRegularizer),activityRegularizer:Xhe(this.activityRegularizer),kernelConstraint:Wce(this.kernelConstraint),recurrentConstraint:Wce(this.recurrentConstraint),biasConstraint:Wce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},e),t)}}]),n}(Tpe);Epe.className="SimpleRNNCell",Kre(Epe);var Cpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),e.cell=new Epe(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return X5((function(){null!=r.cell.dropoutMask&&(Y5(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Y5(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(Spe);Cpe.className="SimpleRNN",Kre(Cpe);var Ape=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new Cse("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,Xse(r.units,"units"),r.activation=Ghe(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Ghe(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=sce(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=sce(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=sce(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Jhe(e.kernelRegularizer),r.recurrentRegularizer=Jhe(e.recurrentRegularizer),r.biasRegularizer=Jhe(e.biasRegularizer),r.kernelConstraint=Vce(e.kernelConstraint),r.recurrentConstraint=Vce(e.recurrentConstraint),r.biasConstraint=Vce(e.biasConstraint),r.dropout=yue([1,bue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=yue([1,bue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){var t=(e=hce(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){if(2!==e.length)throw new Cse("GRUCell expects 2 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=null!=t.training&&t.training,a=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Dpe({ones:function(){return lee(e)},rate:n.dropout,training:r,count:3,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Dpe({ones:function(){return lee(a)},rate:n.recurrentDropout,training:r,count:3,dropoutFunc:n.dropoutFunc}));var i,o,s,u=n.dropoutMask,c=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=g8(e,u[0]));var l=Oue(e,n.kernel.read());n.useBias&&(l=Lue(l,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=g8(a,c[0]));var h=n.recurrentKernel.read(),p=S(Dte(h,[2*n.units,n.units],h.rank-1),2),f=p[0],d=p[1],v=Oue(a,f),m=S(Dte(l,3,l.rank-1),3),g=m[0],y=m[1],b=m[2],x=S(Dte(v,2,v.rank-1),2),k=x[0],w=x[1];i=n.recurrentActivation.apply(d8(g,k)),o=n.recurrentActivation.apply(d8(y,w));var I=Oue(g8(o,a),d);s=n.activation.apply(d8(b,I));var N=d8(g8(i,a),g8(d8(1,M9(i)),s));return[N,N]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Uhe(this.activation),recurrentActivation:Uhe(this.recurrentActivation),useBias:this.useBias,kernelInitializer:oce(this.kernelInitializer),recurrentInitializer:oce(this.recurrentInitializer),biasInitializer:oce(this.biasInitializer),kernelRegularizer:Xhe(this.kernelRegularizer),recurrentRegularizer:Xhe(this.recurrentRegularizer),biasRegularizer:Xhe(this.biasRegularizer),activityRegularizer:Xhe(this.activityRegularizer),kernelConstraint:Wce(this.kernelConstraint),recurrentConstraint:Wce(this.recurrentConstraint),biasConstraint:Wce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign(Object.assign({},e),t)}}]),n}(Tpe);Ape.className="GRUCell",Kre(Ape);var Rpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new Ape(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return X5((function(){null!=r.cell.dropoutMask&&(Y5(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Y5(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(Spe);Rpe.className="GRU",Kre(Rpe);var _pe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,Xse(r.units,"units"),r.activation=Ghe(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Ghe(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=sce(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=sce(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=sce(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=Jhe(e.kernelRegularizer),r.recurrentRegularizer=Jhe(e.recurrentRegularizer),r.biasRegularizer=Jhe(e.biasRegularizer),r.kernelConstraint=Vce(e.kernelConstraint),r.recurrentConstraint=Vce(e.recurrentConstraint),r.biasConstraint=Vce(e.biasConstraint),r.dropout=yue([1,bue([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=yue([1,bue([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.dropoutFunc=e.dropoutFunc,r.implementation=e.implementation,r.stateSize=[r.units,r.units],r.dropoutMask=null,r.recurrentDropoutMask=null,r}return p(n,[{key:"build",value:function(e){var t,n,r=(e=hce(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,i=this.units;n=new(t=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){var n=a.apply([i]),r=(new jue).apply([i]),o=a.apply([2*i]);return Aue(Aue(n,r),o)}}]),n}(Vue),t.className="CustomInit",t)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){var r=null!=t.training&&t.training;if(3!==e.length)throw new Cse("LSTMCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Dpe({ones:function(){return lee(e)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Dpe({ones:function(){return lee(a)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var o,s,u,c,l=n.dropoutMask,h=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=g8(e,l[0]));var p=Oue(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=g8(a,h[0])),p=d8(p,Oue(a,n.recurrentKernel.read())),n.useBias&&(p=Lue(p,n.bias.read()));var f=S(Dte(p,4,p.rank-1),4),d=f[0],v=f[1],m=f[2],g=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(v),u=d8(g8(s,i),g8(o,n.activation.apply(m))),c=n.recurrentActivation.apply(g);var y=g8(c,n.activation.apply(u));return[y,y,u]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Uhe(this.activation),recurrentActivation:Uhe(this.recurrentActivation),useBias:this.useBias,kernelInitializer:oce(this.kernelInitializer),recurrentInitializer:oce(this.recurrentInitializer),biasInitializer:oce(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Xhe(this.kernelRegularizer),recurrentRegularizer:Xhe(this.recurrentRegularizer),biasRegularizer:Xhe(this.biasRegularizer),activityRegularizer:Xhe(this.activityRegularizer),kernelConstraint:Wce(this.kernelConstraint),recurrentConstraint:Wce(this.recurrentConstraint),biasConstraint:Wce(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign(Object.assign({},e),t)}}]),n}(Tpe);_pe.className="LSTMCell",Kre(_pe);var Ope=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new _pe(e),t.call(this,e)}return p(n,[{key:"call",value:function(e,t){var r=this;return X5((function(){null!=r.cell.dropoutMask&&(Y5(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Y5(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(Spe);Ope.className="LSTM",Kre(Ope);var Fpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).cells=e.cells,r}return p(n,[{key:"stateSize",get:function(){var e,t=[],n=O(this.cells.slice().reverse());try{for(n.s();!(e=n.n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,T(r.stateSize)):t.push(r.stateSize)}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"call",value:function(e,t){var n=this;return X5((function(){var r,a=e.slice(1),i=[],o=O(n.cells.slice().reverse());try{for(o.s();!(r=o.n()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}}catch(e){o.e(e)}finally{o.f()}i.reverse();for(var u,c=[],l=0;l<n.cells.length;++l){var h=n.cells[l];a=i[l],u=0===l?[e[0]].concat(a):[u[0]].concat(a),u=h.call(u,t),c.push(u.slice(1))}a=[];var p,f=O(c.slice().reverse());try{for(f.s();!(p=f.n()).done;){var d,v=p.value;(d=a).push.apply(d,T(v))}}catch(e){f.e(e)}finally{f.f()}return[u[0]].concat(a)}))}},{key:"build",value:function(e){var t;uce(e)&&(e=e[0]),this.cells.forEach((function(n,r){hue("RNNCell_".concat(r),(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign(Object.assign({},e),t)}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.trainableWeights))}}catch(e){n.e(e)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.nonTrainableWeights))}}catch(e){n.e(e)}finally{n.f()}if(!this.trainable){var a,i=[],o=O(this.cells);try{for(o.s();!(a=o.n()).done;){var s=a.value;i.push.apply(i,T(s.trainableWeights))}}catch(e){o.e(e)}finally{o.f()}return i.concat(t)}return t}},{key:"getWeights",value:function(){var e,t=[],n=O(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,T(r.weights))}}catch(e){n.e(e)}finally{n.f()}return vce(t)}},{key:"setWeights",value:function(e){var t,n=[],r=O(this.cells);try{for(r.s();!(t=r.n()).done;)for(var a=t.value,i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)n.push([a.weights[s],o[s]])}catch(e){r.e(e)}finally{r.f()}mce(n)}}],[{key:"fromConfig",value:function(e,t){var n,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=[],i=O(t.cells);try{for(i.s();!(n=i.n()).done;){var o=n.value;a.push(rle(o,r))}}catch(e){i.e(e)}finally{i.f()}return new e({cells:a})}}]),n}(Tpe);function Dpe(e){var t=e.ones,n=e.rate,r=e.training,a=void 0!==r&&r,i=e.count,o=void 0===i?1:i,s=e.dropoutFunc,u=function(){return null!=s?s(t(),n):Pue(t(),n)},c=function(){return Bue(u,t,a)};return!o||o<=1?J5(c().clone()):Array(o).fill(void 0).map(c).map((function(e){return J5(e.clone())}))}Fpe.className="StackedRNNCells",Kre(Fpe);var Mpe=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var a=0;for(r=Object.getOwnPropertySymbols(e);a<r.length;a++)t.indexOf(r[a])<0&&Object.prototype.propertyIsEnumerable.call(e,r[a])&&(n[r[a]]=e[r[a]])}return n},Lpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),e.unroll)throw new Ase("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new Ase("It is not possible at the moment to stack convolutional cells.");return(r=t.call(this,e)).inputSpec=[new gce({ndim:5})],r}return p(n,[{key:"call",value:function(e,t){var r=this;return X5((function(){if(null!=r.cell.dropoutMask&&(Y5(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(Y5(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),t&&t.constants)throw new Cse("ConvRNN2D cell does not support constants");var a=null==t?null:t.mask,i=null==t?null:t.training,o=null==t?null:t.initialState;return N(v(n.prototype),"call",r).call(r,e,{mask:a,training:i,initialState:o})}))}},{key:"computeOutputShape",value:function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(T(t.slice(2)))),this.returnState&&(t=[t].concat(T(Array(2).fill([e[0]].concat(T(t.slice(-3))))))),t}},{key:"getInitialState",value:function(e){var t=this;return X5((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=$9([a[0]].concat(T(a.slice(2))));return Array.isArray(n)?Array(n.length).fill(i):[i]}))}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];X5((function(){if(!t.stateful)throw new Tse("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape,a=t.computeSingleOutputShape(r),i=[a[0]].concat(T(a.slice(2)));if(null==r[0])throw new Cse("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.getStates())Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return $9(i)})):t.states_=[$9(i)];else if(null==e)Y5(t.states_),null!=t.keptStates&&(Y5(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return $9(i)})):t.states_[0]=$9(i);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new Cse("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));n?t.keptStates.push(t.states_.slice()):Y5(t.states_);for(var o=0;o<t.states_.length;++o){var s=e[o],u=i;if(!P$(s.shape,u))throw new Cse("State ".concat(o," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(u,", received shape=").concat(s.shape));t.states_[o]=s}}t.states_=t.states_.map((function(e){return J5(e.clone())}))}))}},{key:"computeSingleOutputShape",value:function(e){var t=this.cell,n=t.dataFormat,r=t.filters,a=t.kernelSize,i=t.padding,o=t.strides,s=t.dilationRate,u="channelsFirst"===n,c=e[u?3:2],l=e[u?4:3],h=ape(c,a[0],i,o[0],s[0]),p=ape(l,a[1],i,o[1],s[1]);return[].concat(T(e.slice(0,2)),T(u?[r,h,p]:[h,p,r]))}}]),n}(Spe);Lpe.className="ConvRNN2D";var zpe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n);var a=e.filters,i=e.kernelSize,o=e.strides,s=e.padding,u=e.dataFormat,c=e.dilationRate;return(r=t.call(this,Object.assign(Object.assign({},e),{units:a}))).filters=a,Xse(r.filters,"filters"),r.kernelSize=rpe(i,2,"kernelSize"),r.kernelSize.forEach((function(e){return Xse(e,"kernelSize")})),r.strides=rpe(o||1,2,"strides"),r.strides.forEach((function(e){return Xse(e,"strides")})),r.padding=s||"valid",uue(r.padding),r.dataFormat=u||"channelsLast",sue(r.dataFormat),r.dilationRate=rpe(c||1,2,"dilationRate"),r.dilationRate.forEach((function(e){return Xse(e,"dilationRate")})),r}return p(n,[{key:"build",value:function(e){var t;e=hce(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new Cse("The channel dimension of the input should be defined. "+"Found ".concat(e[n]));var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new(t=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"apply",value:function(e,t){return Cue([s.apply([u]),eee([u]),s.apply([2*u])])}}]),n}(Vue),t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){if(3!==e.length)throw new Cse("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=t.training||!1,a=e[0],i=e[1],o=e[2];0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Dpe({ones:function(){return lee(a)},rate:n.dropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?g8(t[n],e):e},c=u(a,s,0),l=u(a,s,1),h=u(a,s,2),p=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Dpe({ones:function(){return lee(i)},rate:n.recurrentDropout,training:r,count:4,dropoutFunc:n.dropoutFunc}));var f=n.recurrentDropoutMask,d=u(i,f,0),v=u(i,f,1),m=u(i,f,2),g=u(i,f,3),y=S(Dte(n.kernel.read(),4,3),4),b=y[0],x=y[1],k=y[2],w=y[3],I=S(n.useBias?Dte(n.bias.read(),4):[null,null,null,null],4),N=I[0],T=I[1],E=I[2],C=I[3];c=n.inputConv(c,b,N,n.padding),l=n.inputConv(l,x,T,n.padding),h=n.inputConv(h,k,E,n.padding),p=n.inputConv(p,w,C,n.padding);var A=S(Dte(n.recurrentKernel.read(),4,3),4),R=A[0],_=A[1],O=A[2],F=A[3];d=n.recurrentConv(d,R),v=n.recurrentConv(v,_),m=n.recurrentConv(m,O),g=n.recurrentConv(g,F);var D=n.recurrentActivation.apply(d8(c,d)),M=n.recurrentActivation.apply(d8(l,v)),L=d8(g8(M,o),g8(D,n.activation.apply(d8(h,m)))),z=g8(n.recurrentActivation.apply(d8(p,g)),n.activation.apply(L));return[z,z,L]}))}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t=(e.units,Mpe(e,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},t),r)}},{key:"inputConv",value:function(e,t,n,r){var a=b7(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?Lue(a,n,this.dataFormat):a}},{key:"recurrentConv",value:function(e,t){return b7(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")}}]),n}(_pe);zpe.className="ConvLSTM2DCell",Kre(zpe);var Ppe=function(e){d(n,e);var t=w(n);function n(e){l(this,n);var r=new zpe(e);return t.call(this,Object.assign(Object.assign({},e),{cell:r}))}return p(n,null,[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(Lpe);Ppe.className="ConvLSTM2D",Kre(Ppe);var Bpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).rate=Math.max(Math.min(e.rate,1),0),r.noiseShape=e.noiseShape,r.seed=e.seed,r.supportsMasking=!0,r}return p(n,[{key:"getNoiseShape",value:function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n}},{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t);var r=lce(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return Bue((function(){return Pue(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))}},{key:"getConfig",value:function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"dispose",value:function(){return N(v(n.prototype),"dispose",this).call(this)}}]),n}(wce);Bpe.className="Dropout",Kre(Bpe);var Wpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).inputSpec=[{ndim:3}],r}return p(n,[{key:"getNoiseShape",value:function(e){var t=e.shape;return[t[0],1,t[2]]}}]),n}(Bpe);Wpe.className="SpatialDropout1D",Kre(Wpe);var Upe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).activation=null,r.useBias=!0,r.kernel=null,r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var a=null;null!=e.batchSize&&(a=e.batchSize),r.batchInputShape=[a,e.inputDim]}return r.units=e.units,Xse(r.units,"units"),r.activation=Ghe(e.activation),null!=e.useBias&&(r.useBias=e.useBias),r.kernelInitializer=sce(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=sce(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=Vce(e.kernelConstraint),r.biasConstraint=Vce(e.biasConstraint),r.kernelRegularizer=Jhe(e.kernelRegularizer),r.biasRegularizer=Jhe(e.biasRegularizer),r.activityRegularizer=Jhe(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return p(n,[{key:"build",value:function(e){var t=(e=hce(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:f({},-1,t)}],this.built=!0}},{key:"computeOutputShape",value:function(e){var t=(e=hce(e)).slice();return t[t.length-1]=this.units,t}},{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t);var r,a=lce(e),i=Jse(n.activation.getClassName());return null!=i?r=Oue(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=Oue(a,n.kernel.read()),null!=n.bias&&(r=Lue(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))}},{key:"getConfig",value:function(){var e={units:this.units,activation:Uhe(this.activation),useBias:this.useBias,kernelInitializer:oce(this.kernelInitializer),biasInitializer:oce(this.biasInitializer),kernelRegularizer:Xhe(this.kernelRegularizer),biasRegularizer:Xhe(this.biasRegularizer),activityRegularizer:Xhe(this.activityRegularizer),kernelConstraint:Wce(this.kernelConstraint),biasConstraint:Wce(this.biasConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);Upe.className="Dense",Kre(Upe);var Vpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),e=e||{},(r=t.call(this,e)).inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return p(n,[{key:"computeOutputShape",value:function(e){var t,n=O((e=hce(e)).slice(1));try{for(n.s();!(t=n.n()).done;){if(null==t.value)throw new Cse('The shape of the input to "Flatten" is not fully defined '+"(got ".concat(e.slice(1),"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}}catch(e){n.e(e)}finally{n.f()}return[e[0],gue(e,1)]}},{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t);var r=lce(e);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=hne(r,a)}return function(e){if(e.rank<=1)throw new Cse("batchFlatten requires a minimum rank of 2. Got rank: ".concat(e.rank,"."));var t=[e.shape[0],gue(e.shape,1)];return X8(e,t)}(r)}))}},{key:"getConfig",value:function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);Vpe.className="Flatten",Kre(Vpe);var Gpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.activation=Ghe(e.activation),r}return p(n,[{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t);var r=lce(e);return n.activation.apply(r)}))}},{key:"getConfig",value:function(){var e={activation:Uhe(this.activation)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);Gpe.className="Activation",Kre(Gpe);var jpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).n=e.n,r.inputSpec=[{ndim:2}],r}return p(n,[{key:"computeOutputShape",value:function(e){return[e[0],this.n,e[1]]}},{key:"call",value:function(e,t){var n=this;return X5((function(){return e=lce(e),t=e,r=n.n,X5((function(){if(2!==t.shape.length)throw new Cse("repeat() expects a rank-2 tensor, but received a "+"rank-".concat(t.shape.length," tensor."));return Rue(Iue(t,1),[1,r,1])}));var t,r}))}},{key:"getConfig",value:function(){var e={n:this.n},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);jpe.className="RepeatVector",Kre(jpe);var Hpe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),(r=t.call(this,e)).targetShape=e.targetShape;for(var a=0;a<r.targetShape.length;++a)r.isUnknown(r.targetShape[a])&&(r.targetShape[a]=null);return r}return p(n,[{key:"isUnknown",value:function(e){return e<0||null==e}},{key:"fixUnknownDimension",value:function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new Cse("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=gue(e);if(null!==i){if(0===a||u%a!=0)throw new Cse(n);r[i]=u/a}else if(u!==a)throw new Cse(n);return r}},{key:"computeOutputShape",value:function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))}},{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t);var r=lce(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return X8(r,i)}))}},{key:"getConfig",value:function(){var e={targetShape:this.targetShape},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);Hpe.className="Reshape",Kre(Hpe);var qpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),r=t.call(this,e),null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+"".concat(e.dims," instead."));var a=xue(1,e.dims.length+1);if(!P$(e.dims.slice().sort(),a))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return r.dims=e.dims,r.dimsIncludingBatch=[0].concat(r.dims),r.inputSpec=[new gce({ndim:r.dims.length+1})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t=(e=hce(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t}},{key:"call",value:function(e,t){return hne(lce(e),this.dimsIncludingBatch)}},{key:"getConfig",value:function(){var e={dims:this.dims},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);qpe.className="Permute",Kre(qpe);var Kpe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,r.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={maskValue:this.maskValue};return Object.assign(t,e),t}},{key:"computeMask",value:function(e,t){var n=lce(e);return I8(uee(n,this.maskValue),-1)}},{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t);var r=lce(e),a=I8(uee(r,n.maskValue),-1,!0);return g8(r,h8(a,r.dtype))}))}}]),n}(wce);Kpe.className="Masking",Kre(Kpe);var Xpe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).embeddings=null,r.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var a=null;null!=e.batchSize&&(a=e.batchSize),null==e.inputLength?r.batchInputShape=[a,null]:r.batchInputShape=[a].concat(Lse(e.inputLength))}return r.inputDim=e.inputDim,Xse(r.inputDim,"inputDim"),r.outputDim=e.outputDim,Xse(r.outputDim,"outputDim"),r.embeddingsInitializer=sce(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=Jhe(e.embeddingsRegularizer),r.activityRegularizer=Jhe(e.activityRegularizer),r.embeddingsConstraint=Vce(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return p(n,[{key:"build",value:function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}},{key:"warnOnIncompatibleInputShape",value:function(e){}},{key:"computeMask",value:function(e,t){var n=this;return X5((function(){return n.maskZero?(e=lce(e),uee(e,U7(e))):null}))}},{key:"computeOutputShape",value:function(e){if(e=hce(e),null==this.inputLength)return[].concat(T(e),[this.outputDim]);var t=Lse(this.inputLength);if(t.length!==e.length-1)throw new Cse('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new Cse('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));null==a&&(t[n]=i),n++}return[e[0]].concat(T(t),[this.outputDim])}},{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t);var r=lce(e);"int32"!==r.dtype&&(r=wue(r,"int32"));var a=Fue(n.embeddings.read(),X8(r,[r.size]));return X8(a,hce(n.computeOutputShape(r.shape)))}))}},{key:"getConfig",value:function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:oce(this.embeddingsInitializer),embeddingsRegularizer:Xhe(this.embeddingsRegularizer),activityRegularizer:Xhe(this.activityRegularizer),embeddingsConstraint:Wce(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);Xpe.className="Embedding",Kre(Xpe);var Ype=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e||{})).supportsMasking=!0,r}return p(n,[{key:"mergeFunction",value:function(e){throw new Ase}},{key:"computeElementwiseOpOutputShape",value:function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new Cse("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n}},{key:"build",value:function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[hce(e)]),e.length<2)throw new Cse("A merge layer should be called on an Array of at least 2 inputs."+" Got ".concat(e.length," input(s)."));var t,n=[],r=O(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}}catch(e){r.e(e)}finally{r.f()}if((n=jse(n)).length>1)throw new Cse("Can not merge tensors with different batch sizes. "+"Got tensors with shapes: ".concat(JSON.stringify(e),"."));for(var i=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var s=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===jse(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){if(n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){var a,i=bue(r),o=O(e);try{for(o.s();!(a=o.n()).done;){for(var s=a.value,u=s.rank,c=0;c<i-u;++c)s=Iue(s,1);t.push(s)}}catch(e){o.e(e)}finally{o.f()}return n.mergeFunction(t)}var l,h=!1,p=O(e);try{for(p.s();!(l=p.n()).done;){var f=l.value,d=f.rank;if(null==d){var v=f.shape,m=v[0],g=v.slice(1).concat([m]),y=X8(f,[m].concat(gue(v.slice(1))));y=hne(y,[1,0]),y=X8(y,g),t.push(y),h=!0}else if(d>1){var b=xue(1,d).concat([0]);t.push(hne(f,b)),h=!0}else t.push(f)}}catch(e){p.e(e)}finally{p.f()}var x=n.mergeFunction(t),k=x.rank;if(h)if(null==k){var w=x.shape,I=w[w.length-1],N=[I].concat(w.slice(0,w.length-1));x=X8(hne(X8(x,[-1,I]),[1,0]),N)}else if(k>1){var S=[k-1].concat(xue(0,k-1));x=hne(x,S)}return x}return n.mergeFunction(e)}))}},{key:"computeOutputShape",value:function(e){var t;t=null==e[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}var a,i=[],o=O(e);try{for(o.s();!(a=o.n()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}}catch(e){o.e(e)}finally{o.f()}return t=1===(i=jse(i)).length?i.concat(t):[null].concat(t)}},{key:"computeMask",value:function(e,t){return X5((function(){if(null==t)return null;if(!Array.isArray(t))throw new Cse("`mask` should be an Array");if(!Array.isArray(e))throw new Cse("`inputs` should be an Array");if(t.length!==e.length)throw new Cse("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths "+"(".concat(e.length," vs ").concat(t.length,")"));if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:f9(e,0)})))[0],r=1;r<t.length-1;++r)n=U9(n,t[r]);return n}))}}]),n}(wce),Jpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return X5((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=d8(t,e[n]);return t}))}}]),n}(Ype);Jpe.className="Add",Kre(Jpe);var Zpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return X5((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=g8(t,e[n]);return t}))}}]),n}(Ype);Zpe.className="Multiply",Kre(Zpe);var Qpe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return X5((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=d8(t,e[n]);return g8(1/e.length,t)}))}}]),n}(Ype);Qpe.className="Average",Kre(Qpe);var $pe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return X5((function(){for(var t=e[0],n=1;n<e.length;++n)t=Z9(t,e[n]);return t}))}}]),n}(Ype);$pe.className="Maximum",Kre($pe);var efe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"mergeFunction",value:function(e){return X5((function(){for(var t=e[0],n=1;n<e.length;++n)t=nee(t,e[n]);return t}))}}]),n}(Ype);efe.className="Minimum",Kre(efe);var tfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).DEFAULT_AXIS=-1,null==e&&(e={}),r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r.supportsMasking=!0,r.reshapeRequired=!1,r}return p(n,[{key:"build",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new Cse("A `Concatenate` layer should be called on a list of at least 2 inputs");var t,n=!0,r=O(e);try{for(r.s();!(t=r.n()).done;){if(null!=t.value){n=!1;break}}}catch(e){r.e(e)}finally{r.f()}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);var s,u=!1,c=O(a);try{for(c.s();!(s=c.n()).done;){if(P$(s.value,o)){u=!0;break}}}catch(e){c.e(e)}finally{c.f()}u||a.push(o)}if(a.length>1)throw new Cse("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}}},{key:"mergeFunction",value:function(e){var t=this;return X5((function(){return Cue(e,t.axis)}))}},{key:"computeOutputShape",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new Cse("A `Concatenate` layer should be called on a list of inputs.");var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=O(n.slice(1));try{for(i.s();!(t=i.n()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}}catch(e){i.e(e)}finally{i.f()}return r}},{key:"computeMask",value:function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new Cse("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new Cse("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new Cse("Mismatch in the length of mask (".concat(t.length,") ")+"and the legnth of inputs (".concat(e.length,")"));return X5((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(h8(lee(e[i]),"bool")):t[i].rank<e[i].rank?a.push(f9(t[i],-1)):a.push(t[i]);var o=Z8(a,n.axis);return w8(o,-1,!1)}))}},{key:"getConfig",value:function(){var e={axis:this.axis},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Ype);function nfe(e,t){for(;e<0;)e+=t;return e}tfe.className="Concatenate",Kre(tfe);var rfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).axes=e.axes,r.normalize=null!=e.normalize&&e.normalize,r.supportsMasking=!0,r.reshapeRequired=!1,r}return p(n,[{key:"build",value:function(e){F$(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Ase("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new Cse("Dimension incompatibility: "+"".concat(t[r[0]]," !== ").concat(n[r[1]]))}},{key:"mergeFunction",value:function(e){if(2!==e.length)throw new Cse("A `Dot` layer must be called on exactly 2 inputs, "+"but received ".concat(e.length," input(s)."));var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map((function(t,n){return nfe(t,e[n].shape.length)})):[nfe(this.axes,n.shape.length),nfe(this.axes,r.shape.length)],this.normalize&&(n=ale(n,t[0]),r=ale(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new Ase("batchDot is not implemented for tensors of 4D or higher rank yet");if(F$(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, "+"but got ".concat(e.shape.length)})),F$(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, "+"but got ".concat(t.shape.length)})),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new Ase("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return X5((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);t=X8(t,t.shape.concat(s))}else if(a>r){n=a-r;for(var c=[],l=0;l<n;++l)c.push(1);e=X8(e,e.shape.concat(c))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?u9(g8(e,t),i[0]):u9(g8(hne(e,[1,0]),t),i[1]);else{var h=i[0]!==e.shape.length-1,p=i[1]===t.shape.length-1;o=Q8(e,t,h,p)}if(n>0){for(var f,d=[],v=f=r>a?r+a-3:r-1;v<f+n;++v)d.push(v);o=zte(o,d)}return 1===o.shape.length&&(o=f9(o,1)),o}))}(n,r,t)}},{key:"interpretAxes",value:function(e,t){return Array.isArray(this.axes)?this.axes:[nfe(this.axes,e.length),nfe(this.axes,t.length)]}},{key:"computeOutputShape",value:function(e){F$(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Ase("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a}},{key:"computeMask",value:function(e,t){return null}},{key:"getConfig",value:function(){var e={axes:this.axes,normalize:this.normalize},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Ype);rfe.className="Dot",Kre(rfe);var afe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.stddev=e.stddev,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={stddev:this.stddev};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t);var r=lce(e);return Bue((function(){return d8(_ue(r.shape,0,n.stddev),r)}),(function(){return r}),t.training||!1)}))}}]),n}(wce);afe.className="GaussianNoise",Kre(afe);var ife=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r}return p(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t);var r=lce(e);if(n.rate>0&&n.rate<1){return Bue((function(){var e=Math.sqrt(n.rate/(1-n.rate));return g8(r,_ue(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))}}]),n}(wce);ife.className="GaussianDropout",Kre(ife);var ofe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return p(n,[{key:"_getNoiseShape",value:function(e){return this.noiseShape||lce(e).shape}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=N(v(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return X5((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return Bue((function(){var t=lce(e),a=-1.7580993408473766,i=x9(ite(r),n.rate);i=wue(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate,u=d8(g8(t,i),g8(d8(i,-1),a));return d8(g8(u,o),s)}),(function(){return lce(e)}),t.training||!1)}return e}))}}]),n}(wce);function sfe(e,t,n,r,a){var i,o=arguments.length>5&&void 0!==arguments[5]?arguments[5]:.001;if(2===e.rank)i=i7(e,t,n,r,a,o);else if(3===e.rank)i=o7(e,t,n,r,a,o);else{if(4!==e.rank)throw new Ase("batchNormalization is not implemented for array of rank ".concat(e.rank," ")+"yet");i=s7(e,t,n,r,a,o)}return i}function ufe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return X5((function(){var i=iee(e,r),o=i.mean,s=i.variance;return[sfe(e,o,s,n,t,a),o,s]}))}function cfe(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return X5((function(){var i,o=iee(e,r),s=o.mean,u=o.variance,c=[],l=O(xue(0,e.rank));try{for(l.s();!(i=l.n()).done;){var h=i.value;-1!==r.indexOf(h)?c.push(1):c.push(e.shape[h])}}catch(e){l.e(e)}finally{l.f()}var p=X8(s,c),f=X8(u,c),d=null==t?null:X8(t,c),v=null==n?null:X8(n,c);return[sfe(e,p,f,v,d,a),s,u]}))}ofe.className="AlphaDropout",Kre(ofe);var lfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),null==e&&(e={}),(r=t.call(this,e)).supportsMasking=!0,r.axis=null==e.axis?-1:e.axis,r.momentum=null==e.momentum?.99:e.momentum,r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=sce(e.betaInitializer||"zeros"),r.gammaInitializer=sce(e.gammaInitializer||"ones"),r.movingMeanInitializer=sce(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=sce(e.movingVarianceInitializer||"ones"),r.betaConstraint=Vce(e.betaConstraint),r.gammaConstraint=Vce(e.gammaConstraint),r.betaRegularizer=Jhe(e.betaRegularizer),r.gammaRegularizer=Jhe(e.gammaRegularizer),r}return p(n,[{key:"build",value:function(e){e=hce(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new Cse("Axis ".concat(t," of input tensor should have a defined dimension but ")+"the layer received an input with shape "+"".concat(JSON.stringify(e),"."));this.inputSpec=[new gce({ndim:e.length,axes:f({},t,n)})];var r=[n];this.scale&&(this.gamma=this.addWeight("gamma",r,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",r,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",r,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",r,null,this.movingVarianceInitializer,null,!1),this.built=!0}},{key:"call",value:function(e,t){var n=this;return X5((function(){var r=null!=t.training&&t.training,a=lce(e),i=a.shape,o=i.length,s=xue(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var c=Ose(1,o);c[u]=i[u];var l=s.slice();l.sort();var h=!P$(l,xue(0,o).slice(0,o-1));if(!r)return function(){if(h){var e=X8(n.movingMean.read(),c),t=X8(n.movingVariance.read(),c),r=n.center?X8(n.beta.read(),c):null,i=n.scale?X8(n.gamma.read(),c):null;return sfe(a,e,t,r,i,n.epsilon)}return sfe(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var p=function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return P$(r.slice().sort(),xue(0,e.rank-1))?ufe(e,t,n,r,a):cfe(e,t,n,r,a)}(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=S(p,3),d=f[0],v=f[1],m=f[2],g=function(e,t,n){X5((function(){var r=1-n,a=e.read(),i=g8(P9(a,t),r);e.write(P9(a,i))}))};return g(n.movingMean,v,n.momentum),g(n.movingVariance,m,n.momentum),d}))}},{key:"getConfig",value:function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:oce(this.betaInitializer),gammaInitializer:oce(this.gammaInitializer),movingMeanInitializer:oce(this.movingMeanInitializer),movingVarianceInitializer:oce(this.movingVarianceInitializer),betaRegularizer:Xhe(this.betaRegularizer),gammaRegularizer:Xhe(this.gammaRegularizer),betaConstraint:Wce(this.betaConstraint),gammaConstraint:Wce(this.gammaConstraint)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);lfe.className="BatchNormalization",Kre(lfe);var hfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e&&(e={}),(r=t.call(this,e)).axis=null==e.axis?-1:e.axis,"number"==typeof r.axis){if(!Number.isInteger(r.axis))throw new Error("Expected axis to be an integer, but received ".concat(r.axis))}else{if(!Array.isArray(r.axis))throw new Error("Expected axis to be an integer or an array of integers, "+"but received ".concat(JSON.stringify(r.axis)));var a,i=O(r.axis);try{for(i.s();!(a=i.n()).done;){var o=a.value;if(!Number.isInteger(o))throw new Error("Expected axis to be an array of integers, "+"but received ".concat(JSON.stringify(r.axis)))}}catch(e){i.e(e)}finally{i.f()}}return r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=sce(e.betaInitializer||"zeros"),r.gammaInitializer=sce(e.gammaInitializer||"ones"),r.betaRegularizer=Jhe(e.betaRegularizer),r.gammaRegularizer=Jhe(e.gammaRegularizer),r.supportsMasking=!0,r}return p(n,[{key:"build",value:function(e){var t=(e=hce(e)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=t);var r,a=O(this.axis);try{for(a.s();!(r=a.n()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: ".concat(i))}}catch(e){a.e(e)}finally{a.f()}if(this.axis.length!==jse(this.axis).length)throw new Error("Found duplicate axes in: ".concat(this.axis));var o=this.axis.map((function(t){return e[t]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,true):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,true):this.beta=null,this.built=!0}},{key:"call",value:function(e,t){var n=this,r=lce(e),a=r.shape,i=a.length;return X5((function(){var e,t=iee(r,n.axis,!0),o=t.mean,s=t.variance,u=Ose(1,i),c=O(n.axis);try{for(c.s();!(e=c.n()).done;){var l=e.value;u[l]=a[l]}}catch(e){c.e(e)}finally{c.f()}for(var h=function(e){return null!=e&&e.shape.length!==i?X8(e,u):e},p=n.scale?h(n.gamma.read()):null,f=n.center?h(n.beta.read()):null,d=[],v=[],m=0;m<i;++m)-1!==n.axis.indexOf(m)?(d.push(a[m]),v.push(1)):(d.push(1),v.push(a[m]));return o=v9(o,d),s=v9(s,d),null!=p&&(p=v9(p,v)),null!=f&&(f=v9(f,v)),sfe(r,o,s,f,p,n.epsilon)}))}},{key:"getConfig",value:function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:oce(this.betaInitializer),gammaInitializer:oce(this.gammaInitializer),betaRegularizer:Xhe(this.betaRegularizer),gammaRegularizer:Xhe(this.gammaRegularizer)},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);hfe.className="LayerNormalization",Kre(hfe);var pfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e&&(e={}),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)r.padding=[[1,1],[1,1]];else if("number"==typeof e.padding)r.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new Cse("ZeroPadding2D expects padding to be a length-2 array, but "+"received a length-".concat(e.padding.length," array."));var a,i;if("number"==typeof e.padding[0])a=[e.padding[0],e.padding[0]],i=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new Cse("ZeroPadding2D expects height padding to be a length-2 array, "+"but received a length-".concat(e.padding[0].length," array."));if(a=e.padding[0],2!==e.padding[1].length)throw new Cse("ZeroPadding2D expects width padding to be a length-2 array, "+"but received a length-".concat(e.padding[1].length," array."));i=e.padding[1]}r.padding=[a,i]}return r.inputSpec=[new gce({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t,n;return e=hce(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])}},{key:"call",value:function(e,t){var n=this;return X5((function(){return t=lce(e),r=n.padding,a=n.dataFormat,X5((function(){if(4!==t.rank)throw new Cse("temporalPadding expects input tensor to be 4-D, but received a "+"".concat(t.rank,"-D tensor."));if(null==r&&(r=[[1,1],[1,1]]),2!==r.length||2!==r[0].length||2!==r[1].length)throw new Cse("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==a&&(a="channelsLast"),"channelsLast"!==a&&"channelsFirst"!==a)throw new Cse("Unknown data format: ".concat(a,". ")+"Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],pee(t,e)}));var t,r,a}))}},{key:"getConfig",value:function(){var e={padding:this.padding,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);function ffe(e,t,n,r,a,i){return X5((function(){var o;sue(a),cue(i),uue(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=ope(e,a);var s="same"===r?"same":"valid";return o="max"===i?X9(e,t,n,s):Y8(e,t,n,s),"channelsFirst"===a&&(o=hne(o,[0,3,1,2])),o}))}function dfe(e,t,n,r,a,i){return X5((function(){var o;sue(a),cue(i),uue(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=spe(e,a);var s="same"===r?"same":"valid";return o="max"===i?Y9(e,t,n,s):J8(e,t,n,s),"channelsFirst"===a&&(o=hne(o,[0,4,1,2,3])),o}))}pfe.className="ZeroPadding2D",Kre(pfe);var vfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e.poolSize&&(e.poolSize=2),r=t.call(this,e),"number"==typeof e.poolSize)r.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!=typeof e.poolSize[0])throw new Cse("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.poolSize)));r.poolSize=e.poolSize}if(Xse(r.poolSize,"poolSize"),null==e.strides)r.strides=r.poolSize;else if("number"==typeof e.strides)r.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!=typeof e.strides[0])throw new Cse("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.strides)));r.strides=e.strides}return Xse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,uue(r.padding),r.inputSpec=[new gce({ndim:3})],r}return p(n,[{key:"computeOutputShape",value:function(e){var t=ape((e=hce(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}},{key:"call",value:function(e,t){var n=this;return X5((function(){n.invokeCallHook(e,t),e=Iue(lce(e),2);var r=n.poolingFunction(lce(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return zte(r,[2])}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce),mfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return sue(a),uue(r),ffe(e,t,n,r,a,"max")}}]),n}(vfe);mfe.className="MaxPooling1D",Kre(mfe);var gfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return sue(a),uue(r),ffe(e,t,n,r,a,"avg")}}]),n}(vfe);gfe.className="AveragePooling1D",Kre(gfe);var yfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e.poolSize&&(e.poolSize=[2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new Cse("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides];return Xse(r.poolSize,"poolSize"),Xse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,sue(r.dataFormat),uue(r.padding),r.inputSpec=[new gce({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){e=hce(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=ape(t,this.poolSize[0],this.padding,this.strides[0]),n=ape(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}},{key:"call",value:function(e,t){var n=this;return X5((function(){return n.invokeCallHook(e,t),n.poolingFunction(lce(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce),bfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return sue(a),uue(r),ffe(e,t,n,r,a,"max")}}]),n}(yfe);bfe.className="MaxPooling2D",Kre(bfe);var xfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return sue(a),uue(r),ffe(e,t,n,r,a,"avg")}}]),n}(yfe);xfe.className="AveragePooling2D",Kre(xfe);var kfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),null==e.poolSize&&(e.poolSize=[2,2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new Cse("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides,e.strides];return Xse(r.poolSize,"poolSize"),Xse(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,sue(r.dataFormat),uue(r.padding),r.inputSpec=[new gce({ndim:5})],r}return p(n,[{key:"computeOutputShape",value:function(e){e=hce(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=ape(t,this.poolSize[0],this.padding,this.strides[0]),n=ape(n,this.poolSize[1],this.padding,this.strides[1]),r=ape(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]}},{key:"call",value:function(e,t){var n=this;return X5((function(){return n.invokeCallHook(e,t),n.poolingFunction(lce(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce),wfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return sue(a),uue(r),dfe(e,t,n,r,a,"max")}}]),n}(kfe);wfe.className="MaxPooling3D",Kre(wfe);var Ife=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e)}return p(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return sue(a),uue(r),dfe(e,t,n,r,a,"avg")}}]),n}(kfe);Ife.className="AveragePooling3D",Kre(Ife);var Nfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).inputSpec=[new gce({ndim:3})],r}return p(n,[{key:"computeOutputShape",value:function(e){return[e[0],e[2]]}},{key:"call",value:function(e,t){throw new Ase}}]),n}(wce),Sfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e||{})}return p(n,[{key:"call",value:function(e,t){return X5((function(){var t=lce(e);return Q9(t,1)}))}}]),n}(Nfe);Sfe.className="GlobalAveragePooling1D",Kre(Sfe);var Tfe=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,e||{})}return p(n,[{key:"call",value:function(e,t){return X5((function(){var t=lce(e);return n9(t,1)}))}}]),n}(Nfe);Tfe.className="GlobalMaxPooling1D",Kre(Tfe);var Efe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,sue(r.dataFormat),r.inputSpec=[new gce({ndim:4})],r}return p(n,[{key:"computeOutputShape",value:function(e){return"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]}},{key:"call",value:function(e,t){throw new Ase}},{key:"getConfig",value:function(){var e={dataFormat:this.dataFormat},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce),Cfe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"call",value:function(e,t){var n=this;return X5((function(){var t=lce(e);return"channelsLast"===n.dataFormat?Q9(t,[1,2]):Q9(t,[2,3])}))}}]),n}(Efe);Cfe.className="GlobalAveragePooling2D",Kre(Cfe);var Afe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"call",value:function(e,t){var n=this;return X5((function(){var t=lce(e);return"channelsLast"===n.dataFormat?n9(t,[1,2]):n9(t,[2,3])}))}}]),n}(Efe);Afe.className="GlobalMaxPooling2D",Kre(Afe);var Rfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).layer=e.layer,r}return p(n,[{key:"build",value:function(e){this.built=!0}},{key:"trainable",get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)}},{key:"trainableWeights",get:function(){return this.layer.trainableWeights}},{key:"nonTrainableWeights",get:function(){return this.layer.nonTrainableWeights}},{key:"updates",get:function(){return this.layer._updates}},{key:"losses",get:function(){return this.layer.losses}},{key:"getWeights",value:function(){return this.layer.getWeights()}},{key:"setWeights",value:function(e){this.layer.setWeights(e)}},{key:"getConfig",value:function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.layer,a=rle(r,n);delete t.layer;var i={layer:a};return Object.assign(i,t),new e(i)}}]),n}(wce),_fe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).supportsMasking=!0,r}return p(n,[{key:"build",value:function(e){if((e=hce(e)).length<3)throw new Cse("TimeDistributed layer expects an input shape >= 3D, but received "+"input shape ".concat(JSON.stringify(e)));this.inputSpec=[{shape:e}];var t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),N(v(n.prototype),"build",this).call(this,e)}},{key:"computeOutputShape",value:function(e){var t=[(e=hce(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))}},{key:"call",value:function(e,t){var n=this;return X5((function(){return Npe((function(e,r){return[lce(n.layer.call(e,t)),[]]}),e=lce(e),[],!1,null,null,!1,!0)[1]}))}}]),n}(Rfe);_fe.className="TimeDistributed",Kre(_fe);var Ofe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),r=t.call(this,e);var a=e.layer.getConfig(),i={};i.className=e.layer.getClassName(),i.config=a,r.forwardLayer=rle(i),a.goBackwards=!0!==a.goBackwards;var o,s={};if(s.className=e.layer.getClassName(),s.config=a,r.backwardLayer=rle(s),r.forwardLayer.name="forward_"+r.forwardLayer.name,r.backwardLayer.name="backward_"+r.backwardLayer.name,r.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,o=r.mergeMode,qse(iue,"BidirectionalMergeMode",o),e.weights)throw new Ase("weights support is not implemented for Bidirectional layer yet.");return r._stateful=e.layer.stateful,r.returnSequences=e.layer.returnSequences,r.returnState=e.layer.returnState,r.supportsMasking=!0,r._trainable=!0,r.inputSpec=e.layer.inputSpec,r.numConstants=null,r}return p(n,[{key:"trainable",get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}},{key:"getWeights",value:function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}},{key:"setWeights",value:function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),this.returnState?(r=a.slice(1),t=a[0]):t=a[0],"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):Mse(n)}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=Ipe(e,r,a,this.numConstants);if(e=i.inputs,r=i.initialState,a=i.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(null==r||0===r.length)&&null==a)return N(v(n.prototype),"apply",this).call(this,e,t);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new Cse("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");t.initialState=r,o.push.apply(o,T(r));var c=r.map((function(e){return new gce({shape:e.shape})}));this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),s.push.apply(s,T(c))}if(null!=a)throw new Ase("Support for constants in Bidirectional layers is not implemented yet.");for(var l=o[0]instanceof yce,h=0,p=o;h<p.length;h++){if(p[h]instanceof yce!==l)throw new Cse("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(l){var f=[e].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var g=N(v(n.prototype),"apply",this).call(this,f,t);return this.inputSpec=m,g}return N(v(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return X5((function(){var r,a,i,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),a=n.backwardLayer.call(e,t);else{var u=s.slice(0,s.length/2),c=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:u})),a=n.backwardLayer.call(e,Object.assign(t,{initialState:c}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=pte(a,1)),"concat"===n.mergeMode?o=Cue([r,a]):"sum"===n.mergeMode?o=d8(r,a):"ave"===n.mergeMode?o=g8(.5,d8(r,a)):"mul"===n.mergeMode?o=g8(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))}},{key:"resetStates",value:function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}},{key:"build",value:function(e){var t=this;hue(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),hue(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0}},{key:"computeMask",value:function(e,t){var n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){var r=this.forwardLayer.states.map((function(e){return null}));return Array.isArray(n)?n.concat(r).concat(r):[n].concat(r).concat(r)}return n}},{key:"trainableWeights",get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}},{key:"nonTrainableWeights",get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}},{key:"setFastWeightInitDuringBuild",value:function(e){N(v(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(e),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e={mergeMode:this.mergeMode},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"fromConfig",value:function(e,t){var n=rle(t.layer);if(delete t.layer,null!=t.numConstants)throw new Ase("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)}}]),n}(Rfe);Ofe.className="Bidirectional",Kre(Ofe);var Ffe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).scale=e.scale,e.offset?r.offset=e.offset:r.offset=0,r}return p(n,[{key:"getConfig",value:function(){var e={scale:this.scale,offset:this.offset},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return X5((function(){return"float32"!==(e=lce(e)).dtype&&(e=wue(e,"float32")),d8(g8(e,n.scale),n.offset)}))}}]),n}(wce);Ffe.className="Rescaling",Kre(Ffe);var Dfe=Pre.resizeBilinear,Mfe=Pre.cropAndResize,Lfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,r}return p(n,[{key:"centerCrop",value:function(e,t,n,r,a,i,o,s){return X5((function(){var u,c=!1,l=[t/i,n/o,(r+t)/i,(a+n)/o],h=[];3===e.rank?(c=!0,u=Pte([e])):u=e;for(var p=0;p<u.shape[0];p++)h.push(l);var f=V5(h,[h.length,4]),d=ste(0,h.length,1,"int32"),v=Mfe(u,f,d,[r,a],"nearest");return wue(c?lce(rne(v)):v,s)}))}},{key:"upsize",value:function(e,t,n,r){return X5((function(){return wue(Dfe(e,[t,n]),r)}))}},{key:"call",value:function(e,t){var n=this;return X5((function(){var t=lce(e),r=t.dtype,a=t.shape,i=a[a.length-3],o=a[a.length-2],s=0;i!==n.height&&(s=Math.floor((i-n.height)/2));var u=0;return o!==n.width&&0===(u=Math.floor((o-n.width)/2))&&(u=1),s>=0&&u>=0?n.centerCrop(t,s,u,n.height,n.width,i,o,r):n.upsize(e,n.height,n.width,r)}))}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=hce(e)).length-3,n=e.length-2;return e[t]=this.height,e[n]=this.width,e}}]),n}(wce);Lfe.className="CenterCrop",Kre(Lfe);var zfe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).numTokens=e.numTokens,e.outputMode?r.outputMode=e.outputMode:r.outputMode="multiHot",r}return p(n,[{key:"getConfig",value:function(){var e={numTokens:this.numTokens,outputMode:this.outputMode},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){return null==(e=hce(e))?[this.numTokens]:"oneHot"===this.outputMode&&1!==e[e.length-1]?(e.push(this.numTokens),e):(e[e.length-1]=this.numTokens,e)}},{key:"call",value:function(e,t){var n=this;return X5((function(){var r;if("int32"!==(e=lce(e)).dtype&&(e=wue(e,"int32")),void 0!==t.countWeights){if("count"!==n.outputMode)throw new Cse("countWeights is not used when outputMode !== count.\n              Received countWeights=".concat(t.countWeights));r=lce(t.countWeights)}var a=n9(e),i=r9(e),o=b9(n.numTokens,a).bufferSync().get(0),s=x9(i,0).bufferSync().get(0);if(!o||!s)throw new Cse("Input values must be between 0 < values <="+" numTokens with numTokens=".concat(n.numTokens));return function(e,t,n,r){var a=lce(e);if("int32"!==a.dtype&&(a=wue(a,"int32")),"int"===t)return a;var i=a.shape;if(0===a.rank&&(a=f9(a,-1)),"oneHot"===t&&1!==a.shape[a.shape.length-1]&&(a=f9(a,-1)),a.rank>2)throw new Cse("When outputMode is not int, maximum output rank is 2"+" Received outputMode ".concat(t," and input shape ").concat(i)+" which would result in output rank ".concat(a.rank,"."));var o,s=["multiHot","oneHot"].includes(t);if(o=R7(a,void 0!==r&&"count"===t?r:[],n,s),"tfIdf"!==t)return o;if(r)return g8(o,r);throw new Cse("When outputMode is 'tfIdf', weights must be provided.")}(e,n.outputMode,n.numTokens,r)}))}}]),n}(wce);zfe.className="CategoryEncoding",Kre(zfe);var Pfe=new Set(["bilinear","nearest"]),Bfe=function(e){d(n,e);var t=w(n);function n(e){var r;if(l(this,n),(r=t.call(this,e)).height=e.height,r.width=e.width,e.interpolation){if(!Pfe.has(e.interpolation))throw new Cse("Invalid interpolation parameter: ".concat(e.interpolation," is not implemented"));r.interpolation=e.interpolation}else r.interpolation="bilinear";return r.cropToAspectRatio=Boolean(e.cropToAspectRatio),r}return p(n,[{key:"computeOutputShape",value:function(e){var t=(e=hce(e))[2];return[this.height,this.width,t]}},{key:"getConfig",value:function(){var e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"call",value:function(e,t){var n=this;return X5((function(){var t=[n.height,n.width];if("bilinear"===n.interpolation)return Pre.resizeBilinear(e,t,!n.cropToAspectRatio);if("nearest"===n.interpolation)return Pre.resizeNearestNeighbor(e,t,!n.cropToAspectRatio);throw new Error("Interpolation is ".concat(n.interpolation," but only ").concat(T(Pfe)," are supported"))}))}}]),n}(wce);Bfe.className="Resizing",Kre(Bfe);var Wfe=function(){function e(t){l(this,e),this.seed=t}return p(e,[{key:"next",value:function(){if(void 0!==this.seed)return this.seed++}}]),e}();Wfe.className="RandomSeed";var Ufe=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this,e)).randomGenerator=new Wfe(e.seed),r}return p(n,[{key:"getConfig",value:function(){var e={seed:this.randomGenerator.seed},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(wce);Ufe.className="BaseRandomLayer";var Vfe=new Set(["bilinear","nearest"]),Gfe=function(e){d(n,e);var t=w(n);function n(e){var r;l(this,n),r=t.call(this,e);var a=e.factor,i=e.interpolation,o=void 0===i?"bilinear":i;if(r.factor=a,Array.isArray(r.factor)&&2===r.factor.length)r.widthLower=r.factor[0],r.widthUpper=r.factor[1];else{if(Array.isArray(r.factor)||!(r.factor>0))throw new Cse("Invalid factor: ".concat(r.factor,". Must be positive number or tuple of 2 numbers"));r.widthLower=-r.factor,r.widthUpper=r.factor}if(r.widthLower<-1||r.widthUpper<-1)throw new Cse("factor must have values larger than -1. Got: ".concat(r.factor));if(r.widthUpper<r.widthLower)throw new Cse("factor cannot have upper bound less than lower bound.\n        Got upper bound: ".concat(r.widthUpper,".\n        Got lower bound: ").concat(r.widthLower,"\n      "));if(o){if(!Vfe.has(o))throw new Cse("Invalid interpolation parameter: ".concat(o," is not implemented"));r.interpolation=o}return r}return p(n,[{key:"getConfig",value:function(){var e={factor:this.factor,interpolation:this.interpolation},t=N(v(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"computeOutputShape",value:function(e){var t=(e=hce(e))[2];return[this.imgHeight,-1,t]}},{key:"call",value:function(e,t){var n=this;return X5((function(){var t=lce(e);n.imgHeight=t.shape[t.shape.length-3];var r=t.shape[t.shape.length-2];n.widthFactor=ite([1],1+n.widthLower,1+n.widthUpper,"float32",n.randomGenerator.next());var a=n.widthFactor.dataSync()[0]*r;a=Math.round(a);var i=[n.imgHeight,a];switch(n.interpolation){case"bilinear":return Pre.resizeBilinear(e,i);case"nearest":return Pre.resizeNearestNeighbor(e,i);default:throw new Error("Interpolation is ".concat(n.interpolation,"\n          but only ").concat(T(Vfe)," are supported"))}}))}}]),n}(Ufe);function jfe(e){return new gfe(e)}function Hfe(e){return new xfe(e)}function qfe(e){return new Ife(e)}function Kfe(e){return new Tfe(e)}function Xfe(e){return new Afe(e)}function Yfe(e){return new mfe(e)}function Jfe(e){return new bfe(e)}Gfe.className="RandomWidth",Kre(Gfe);var Zfe={__proto__:null,Layer:wce,RNN:Spe,RNNCell:Tpe,activation:function(e){return new Gpe(e)},add:function(e){return new Jpe(e)},alphaDropout:function(e){return new ofe(e)},average:function(e){return new Qpe(e)},averagePooling1d:jfe,averagePooling2d:Hfe,averagePooling3d:qfe,avgPool1d:function(e){return jfe(e)},avgPool2d:function(e){return Hfe(e)},avgPool3d:function(e){return qfe(e)},avgPooling1d:function(e){return jfe(e)},avgPooling2d:function(e){return Hfe(e)},avgPooling3d:function(e){return qfe(e)},batchNormalization:function(e){return new lfe(e)},bidirectional:function(e){return new Ofe(e)},categoryEncoding:function(e){return new zfe(e)},centerCrop:function(e){return new Lfe(e)},concatenate:function(e){return new tfe(e)},conv1d:function(e){return new bpe(e)},conv2d:function(e){return new fpe(e)},conv2dTranspose:function(e){return new vpe(e)},conv3d:function(e){return new dpe(e)},conv3dTranspose:function(e){return new mpe(e)},convLstm2d:function(e){return new Ppe(e)},convLstm2dCell:function(e){return new zpe(e)},cropping2D:function(e){return new xpe(e)},dense:function(e){return new Upe(e)},depthwiseConv2d:function(e){return new wpe(e)},dot:function(e){return new rfe(e)},dropout:function(e){return new Bpe(e)},elu:function(e){return new epe(e)},embedding:function(e){return new Xpe(e)},flatten:function(e){return new Vpe(e)},gaussianDropout:function(e){return new ife(e)},gaussianNoise:function(e){return new afe(e)},globalAveragePooling1d:function(e){return new Sfe(e)},globalAveragePooling2d:function(e){return new Cfe(e)},globalMaxPool1d:Kfe,globalMaxPool2d:Xfe,globalMaxPooling1d:Kfe,globalMaxPooling2d:Xfe,gru:function(e){return new Rpe(e)},gruCell:function(e){return new Ape(e)},input:Ihe,inputLayer:function(e){return new Nce(e)},layerNormalization:function(e){return new hfe(e)},leakyReLU:function(e){return new Qhe(e)},lstm:function(e){return new Ope(e)},lstmCell:function(e){return new _pe(e)},masking:function(e){return new Kpe(e)},maxPool1d:Yfe,maxPool2d:Jfe,maxPooling1d:Yfe,maxPooling2d:Jfe,maxPooling3d:function(e){return new wfe(e)},maximum:function(e){return new $pe(e)},minimum:function(e){return new efe(e)},multiply:function(e){return new Zpe(e)},permute:function(e){return new qpe(e)},prelu:function(e){return new $he(e)},randomWidth:function(e){return new Gfe(e)},reLU:function(e){return new Zhe(e)},repeatVector:function(e){return new jpe(e)},rescaling:function(e){return new Ffe(e)},reshape:function(e){return new Hpe(e)},resizing:function(e){return new Bfe(e)},rnn:function(e){return new Spe(e)},separableConv2d:function(e){return new ype(e)},simpleRNN:function(e){return new Cpe(e)},simpleRNNCell:function(e){return new Epe(e)},softmax:function(e){return new npe(e)},spatialDropout1d:function(e){return new Wpe(e)},stackedRNNCells:function(e){return new Fpe(e)},thresholdedReLU:function(e){return new tpe(e)},timeDistributed:function(e){return new _fe(e)},upSampling2d:function(e){return new kpe(e)},zeroPadding2d:function(e){return new pfe(e)}};var Qfe={__proto__:null,MAPE:function(e,t){return sle(e,t)},MSE:function(e,t){return ile(e,t)},binaryAccuracy:function(e,t){return mle(e,t)},binaryCrossentropy:function(e,t){return kle(e,t)},categoricalAccuracy:function(e,t){return gle(e,t)},categoricalCrossentropy:function(e,t){return Ile(e,t)},cosineProximity:function(e,t){return fle(e,t)},mape:function(e,t){return sle(e,t)},meanAbsoluteError:function(e,t){return ole(e,t)},meanAbsolutePercentageError:function(e,t){return sle(e,t)},meanSquaredError:function(e,t){return ile(e,t)},mse:function(e,t){return ile(e,t)},precision:function(e,t){return ble(e,t)},r2Score:function(e,t){return function(e,t){return X5((function(){var n=e.sub(t).square().sum(),r=e.sub(e.mean()).square().sum();return i9(1).sub(n.div(r))}))}(e,t)},recall:function(e,t){return xle(e,t)},sparseCategoricalAccuracy:function(e,t){return wle(e,t)}},$fe={__proto__:null,modelFromJSON:function(e,t){return ghe.apply(this,arguments)}};var ede={__proto__:null,l1:function(e){return jhe(t=e),new qhe({l1:null!=t?t.l1:null,l2:0});var t},l1l2:function(e){return new qhe(e)},l2:function(e){return jhe(t=e),new qhe({l2:null!=t?t.l2:null,l1:0});var t}},tde=function(e){d(n,e);var t=w(n);function n(){var e;return l(this,n),(e=t.apply(this,arguments)).model=null,e}return p(n,[{key:"setModel",value:function(e){if(!(e instanceof vhe))throw new Error("model must be a LayersModel, not some other 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n={name:e.name,op:e.op,category:t.category,inputNames:(e.input||[]).map((function(e){return e.startsWith("^")?e.slice(1):e})),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:e.attr,outputs:t.outputs};return null!=t.inputs&&(n.inputParams=t.inputs.reduce((function(e,t){return e[t.name]={type:t.type,inputIndexStart:t.start,inputIndexEnd:t.end},e}),{})),null!=t.attrs&&(n.attrParams=t.attrs.reduce((function(t,n){var r=n.type,a=void 0;switch(n.type){case"string":void 0===(a=Bde(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Bde(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"string[]":void 0===(a=Yde(e.attr,n.tfName,n.defaultValue))&&n.tfDeprecatedName&&(a=Yde(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"number":void 0===(a=Ude(e.attr,n.tfName,n.defaultValue||0))&&n.tfDeprecatedName&&(a=Ude(e.attr,n.tfDeprecatedName,n.defaultValue));break;case"number[]":void 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r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[r.add(lde("a",e,t,n),lde("b",e,t,n))];case"AddN":return[r.addN(lde("tensors",e,t,n))];case"FloorMod":case"Mod":return[r.mod(lde("a",e,t,n),lde("b",e,t,n))];case"Mul":return[r.mul(lde("a",e,t,n),lde("b",e,t,n))];case"RealDiv":case"Div":return[r.div(lde("a",e,t,n),lde("b",e,t,n))];case"DivNoNan":return[r.divNoNan(lde("a",e,t,n),lde("b",e,t,n))];case"FloorDiv":return[r.floorDiv(lde("a",e,t,n),lde("b",e,t,n))];case"Sub":return[r.sub(lde("a",e,t,n),lde("b",e,t,n))];case"Minimum":return[r.minimum(lde("a",e,t,n),lde("b",e,t,n))];case"Maximum":return[r.maximum(lde("a",e,t,n),lde("b",e,t,n))];case"Pow":return[r.pow(lde("a",e,t,n),lde("b",e,t,n))];case"SquaredDifference":return[r.squaredDifference(lde("a",e,t,n),lde("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},tve=function(e,t,n){var r=arguments.length>3&&void 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TypeError("Node type ".concat(e.op," is not implemented"))}};function nve(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"";if("number"!=typeof e&&"number"!=typeof t){F$(e.length===t.length,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}));for(var r=0;r<e.length;r++){var a=e[r],i=t[r];F$(a<0||i<0||a===i,(function(){return n+" Shapes ".concat(e," and ").concat(t," must match")}))}}}function rve(e){return"number"!=typeof e&&!e.some((function(e){return e<0}))}function ave(e,t,n){var r=ive(e,n),a=!rve(r);if(a&&0===t.length)throw new Error("Tried to calculate elements of an empty list"+" with non-fully-defined elementShape: ".concat(r));if(a&&t.forEach((function(e){r=ive(e.shape,r)})),!rve(r))throw new Error("Non-fully-defined elementShape: ".concat(r));return r}function ive(e,t){if("number"==typeof e)return t;if("number"==typeof t)return e;if(e.length!==t.length)throw new Error("Incompatible ranks during merge: ".concat(e," vs. 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".concat(e,", but array size is: ").concat(this.size()));var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray ".concat(this.name,": Could not read index ").concat(e," twice because it was cleared after a previous read ")+"(perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor}},{key:"readMany",value:function(e){var t=this;return e.map((function(e){return t.read(e)}))}},{key:"write",value:function(e,t){if(this.closed_)throw new Error("TensorArray ".concat(this.name," has already been closed."));if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index ".concat(e,", but array is not resizeable and size is: ").concat(this.maxSize));var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,",\n          because the value dtype is ").concat(t.dtype,", but TensorArray dtype is ").concat(this.dtype,"."));if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),nve(this.elementShape,t.shape,"TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,".")),n.read)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been read."));if(n.written)throw new Error("TensorArray ".concat(this.name,": Could not write to TensorArray index ").concat(e,", because it has already been written."));n.tensor=t,J5(t),n.written=!0,this.tensors[e]=n}},{key:"writeMany",value:function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray ".concat(this.name,": could not write multiple tensors,")+"because the index size: ".concat(e.length," is not the same as tensors size: ").concat(t.length,"."));e.forEach((function(e,r){return n.write(e,t[r])}))}},{key:"gather",value:function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but gather requested dtype ").concat(t));if(e)e=e.slice(0,this.size());else{e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return V5([],[0].concat(this.elementShape));var r=this.readMany(e);return nve(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),Pte(r,0)}},{key:"concat",value:function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but concat requested dtype ").concat(e));if(0===this.size())return V5([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return nve(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape (".concat(this.elementShape,") vs first tensor shape (").concat(r[0].shape,")")),Z8(r,0)}},{key:"scatter",value:function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(e.length," vs. ").concat(t.shape[0]));var n=Math.max.apply(Math,T(e));if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size (".concat(n,"  vs. ").concat(this.maxSize,")"));this.writeMany(e,rne(t,0))}},{key:"split",value:function(e,t){var n=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is ".concat(this.dtype," but tensor has dtype ").concat(t.dtype));var r=0,a=e.map((function(e){return r+=e}));if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(r,", and tensor's shape is: ").concat(t.shape));if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths (".concat(this.maxSize," vs. ").concat(e.length,"), ")+"and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:t.size/r,o=[];X5((function(){t=X8(t,[1,r,i]);for(var s=0;s<e.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,e[s],i];o[s]=X8(e7(t,u,c),n.elementShape)}return o}));for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)}}]),e}(),sve=function(){function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1;l(this,e),this.tensors=t,this.elementShape=n,this.elementDtype=r,null!=t&&t.forEach((function(e){if(r!==e.dtype)throw new Error("Invalid data types; op elements ".concat(r,", but list elements ").concat(e.dtype));nve(n,e.shape,"TensorList shape mismatch: "),J5(e)})),this.idTensor=i9(0),this.maxNumElements=a,J5(this.idTensor)}return p(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"copy",value:function(){return new e(T(this.tensors),this.elementShape,this.elementDtype)}},{key:"clearAndClose",value:function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()}},{key:"size",value:function(){return this.tensors.length}},{key:"stack",value:function(e,t){var n=this,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:-1;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(-1!==r&&this.tensors.length!==r)throw new Error("Operation expected a list with ".concat(r," elements but got a list with ").concat(this.tensors.length," elements."));nve(e,this.elementShape,"TensorList shape mismatch: ");var a=ave(this.elementShape,this.tensors,e);return X5((function(){var e=n.tensors.map((function(e){return X8(e,a)}));return Pte(e,0)}))}},{key:"popBack",value:function(e,t){if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));if(0===this.size())throw new Error("Trying to pop from an empty list.");var n=ave(this.elementShape,this.tensors,e),r=this.tensors.pop();return r.kept=!1,nve(r.shape,e,"TensorList shape mismatch: "),X8(r,n)}},{key:"pushBack",value:function(e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(this.elementDtype));if(nve(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");J5(e),this.tensors.push(e)}},{key:"resize",value:function(t){if(t<0)throw new Error("TensorListResize expects size to be non-negative. Got: ".concat(t));if(-1!==this.maxNumElements&&t>this.maxNumElements)throw new Error("TensorListResize input size ".concat(t," is greater maxNumElement ").concat(this.maxNumElements,"."));var n=new e([],this.elementShape,this.elementDtype,this.maxNumElements);n.tensors.length=t;for(var r=0;r<Math.min(this.tensors.length,t);++r)n.tensors[r]=this.tensors[r];return n}},{key:"getItem",value:function(e,t,n){if(n!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(n,", but list elements ").concat(this.elementDtype));if(e<0||e>this.tensors.length)throw new Error("Trying to access element ".concat(e," in a list with ").concat(this.tensors.length," elements."));if(null==this.tensors[e])throw new Error("element at index ".concat(e," is null."));nve(this.tensors[e].shape,t,"TensorList shape mismatch: ");var r=ave(this.elementShape,this.tensors,t);return X8(this.tensors[e],r)}},{key:"setItem",value:function(e,t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t.dtype,", but list elements ").concat(this.elementDtype));if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error("Trying to set element ".concat(e," in a list with max ").concat(this.maxNumElements," elements."));nve(this.elementShape,t.shape,"TensorList shape mismatch: "),J5(t),null!=this.tensors[e]&&(this.tensors[e].kept=!1),this.tensors[e]=t}},{key:"gather",value:function(e,t,n){var r=this;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements ".concat(t,", but list elements ").concat(this.elementDtype));nve(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());var a=ave(this.elementShape,this.tensors,n);return 0===e.length?V5([],[0].concat(a)):X5((function(){var t=e.map((function(e){return X8(r.tensors[e],a)}));return Pte(t,0)}))}},{key:"concat",value:function(e,t){var n=this;if(e&&e!==this.elementDtype)throw new Error("TensorList dtype is ".concat(this.elementDtype," but concat requested dtype ").concat(e));nve(this.elementShape,t,"TensorList shape mismatch: ");var r=ave(this.elementShape,this.tensors,t);return 0===this.size()?V5([],[0].concat(r)):X5((function(){var e=n.tensors.map((function(e){return X8(e,r)}));return Z8(e,0)}))}}]),e}();function uve(e,t,n){var r=e.dtype;if(e.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: ".concat(e.shape));if(e.dtype!==n)throw new Error("Invalid data types; op elements ".concat(e.dtype,", but list elements ").concat(n));nve(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=rne(e);return new sve(a,t,r)}function cve(e,t,n,r){return new sve([],e,t,r)}function lve(e,t,n,r){if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: ".concat(t.length," vs. ").concat(e.shape[0]));var a=Math.max.apply(Math,T(t));if(null!=r&&-1!==r&&a>=r)throw new Error("Max index must be < array size (".concat(a,"  vs. ").concat(r,")"));var i=new sve([],n,e.dtype,r),o=rne(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function hve(e,t,n){var r=0,a=t.map((function(e){return r+=e}));if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ".concat(r,", and tensor's shape is: ").concat(e.shape));for(var i=ive(e.shape.slice(1),n),o=0===r?0:e.size/r,s=X5((function(){var n=[];e=X8(e,[1,r,o]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],c=[1,t[s],o];n[s]=X8(e7(e,u,c),i)}return e.dispose(),n})),u=new sve([],n,e.dtype,t.length),c=0;c<s.length;c++)u.setItem(c,s[c]);return u}var pve=function(){var e=c(o().mark((function e(t,n,r){var a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_,O,F,D,M,L,z,P,B,W,U,V,G,j,H,q,K,X,Y,J,Z,Q,$,ee,te,ne,re,ae,ie,oe,se,ue,ce,le,he,pe,fe,de,ve,me,ge,ye,be,xe,ke,we,Ie,Ne,Se,Te,Ee,Ce,Ae,Re,_e,Oe,Fe,De,Me,Le,ze,Pe,Be,We,Ue,Ve,Ge,je,He,qe,Ke,Xe,Ye,Je,Ze,Qe,$e,et,tt,nt,rt,at,it,ot;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="If"===e.t0||"StatelessIf"===e.t0?3:"While"===e.t0||"StatelessWhile"===e.t0?15:"LoopCond"===e.t0?33:"Switch"===e.t0?35:"Merge"===e.t0?46:"Enter"===e.t0?51:"Exit"===e.t0?55:"NextIteration"===e.t0?58:"TensorArrayV3"===e.t0?61:"TensorArrayWriteV3"===e.t0?71:"TensorArrayReadV3"===e.t0?77:"TensorArrayGatherV3"===e.t0?81:"TensorArrayScatterV3"===e.t0?86:"TensorArrayConcatV3"===e.t0?92:"TensorArraySplitV3"===e.t0?96:"TensorArraySizeV3"===e.t0?102:"TensorArrayCloseV3"===e.t0?105:"TensorListSetItem"===e.t0?109:"TensorListGetItem"===e.t0?115:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?121:"TensorListReserve"===e.t0||"EmptyTensorList"===e.t0?128:"TensorListGather"===e.t0?136:"TensorListStack"===e.t0?142:"TensorListFromTensor"===e.t0?148:"TensorListConcat"===e.t0||"TensorListConcatV2"===e.t0?154:"TensorListPushBack"===e.t0?159:"TensorListPopBack"===e.t0?164:"TensorListSplit"===e.t0?169:"TensorListLength"===e.t0?175:"TensorListResize"===e.t0?178:184;break;case 3:return a=lde("thenBranch",t,n,r),i=lde("elseBranch",t,n,r),s=lde("cond",t,n,r),u=lde("args",t,n,r),e.next=9,s.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(u,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(u,r.tensorArrayMap,r.tensorListMap));case 15:return c=lde("body",t,n,r),l=lde("cond",t,n,r),h=lde("args",t,n,r),e.next=20,r.functionMap[l].executeFunctionAsync(h,r.tensorArrayMap,r.tensorListMap);case 20:return p=e.sent,f=h.map((function(e){return e.id})),e.next=24,p[0].data();case 24:d=e.sent,p.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||e.dispose()})),v=h,m=o().mark((function e(){var t,n,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=v,e.next=3,r.functionMap[c].executeFunctionAsync(v,r.tensorArrayMap,r.tensorListMap);case 3:return v=e.sent,n=v.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[l].executeFunctionAsync(v,r.tensorArrayMap,r.tensorListMap);case 8:return a=e.sent,e.next=11,a[0].data();case 11:d=e.sent,a.forEach((function(e){e.kept||-1!==f.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 28:if(!d[0]){e.next=32;break}return e.delegateYield(m(),"t1",30);case 30:e.next=28;break;case 32:return e.abrupt("return",v);case 33:return g=lde("pred",t,n,r),e.abrupt("return",[gde(g)]);case 35:return y=lde("pred",t,n,r),(b=lde("data",t,n,r)).kept||(b=gde(b)),e.next=40,y.data();case 40:if(!e.sent[0]){e.next=44;break}e.t2=[void 0,b],e.next=45;break;case 44:e.t2=[b,void 0];case 45:return e.abrupt("return",e.t2);case 46:if(x=t.inputNames.find((function(e){return void 0!==hde(e,n,r)})),!x){e.next=50;break}return k=hde(x,n,r),e.abrupt("return",[gde(k)]);case 50:return e.abrupt("return",void 0);case 51:return w=lde("frameName",t,n,r),I=lde("tensor",t,n,r),r.enterFrame(w),e.abrupt("return",[gde(I)]);case 55:return N=lde("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[gde(N)]);case 58:return S=lde("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[gde(S)]);case 61:return T=lde("size",t,n,r),E=lde("dtype",t,n,r),C=lde("elementShape",t,n,r),A=lde("dynamicSize",t,n,r),R=lde("clearAfterRead",t,n,r),_=lde("identicalElementShapes",t,n,r),O=lde("name",t,n,r),F=new ove(O,E,T,C,_,A,R),r.addTensorArray(F),e.abrupt("return",[F.idTensor,i9(1)]);case 71:return D=lde("tensorArrayId",t,n,r),M=lde("index",t,n,r),L=lde("tensor",t,n,r),(z=r.getTensorArray(D.id)).write(M,L),e.abrupt("return",[z.idTensor]);case 77:return P=lde("tensorArrayId",t,n,r),B=lde("index",t,n,r),W=r.getTensorArray(P.id),e.abrupt("return",[W.read(B)]);case 81:return U=lde("tensorArrayId",t,n,r),V=lde("indices",t,n,r),G=lde("dtype",t,n,r),j=r.getTensorArray(U.id),e.abrupt("return",[j.gather(V,G)]);case 86:return H=lde("tensorArrayId",t,n,r),q=lde("indices",t,n,r),K=lde("tensor",t,n,r),(X=r.getTensorArray(H.id)).scatter(q,K),e.abrupt("return",[X.idTensor]);case 92:return Y=lde("tensorArrayId",t,n,r),J=r.getTensorArray(Y.id),Z=lde("dtype",t,n,r),e.abrupt("return",[J.concat(Z)]);case 96:return Q=lde("tensorArrayId",t,n,r),$=lde("tensor",t,n,r),ee=lde("lengths",t,n,r),(te=r.getTensorArray(Q.id)).split(ee,$),e.abrupt("return",[te.idTensor]);case 102:return ne=lde("tensorArrayId",t,n,r),re=r.getTensorArray(ne.id),e.abrupt("return",[i9(re.size(),"int32")]);case 105:return ae=lde("tensorArrayId",t,n,r),(ie=r.getTensorArray(ae.id)).clearAndClose(),e.abrupt("return",[ie.idTensor]);case 109:return oe=lde("tensorListId",t,n,r),se=lde("index",t,n,r),ue=lde("tensor",t,n,r),(ce=r.getTensorList(oe.id)).setItem(se,ue),e.abrupt("return",[ce.idTensor]);case 115:return le=lde("tensorListId",t,n,r),he=lde("index",t,n,r),pe=lde("elementShape",t,n,r),fe=lde("elementDType",t,n,r),de=r.getTensorList(le.id),e.abrupt("return",[de.getItem(he,pe,fe)]);case 121:return ve=lde("indices",t,n,r),me=lde("tensor",t,n,r),ge=lde("elementShape",t,n,r),ye=lde("numElements",t,n,r),be=lve(me,ve,ge,ye),r.addTensorList(be),e.abrupt("return",[be.idTensor]);case 128:return xe=lde("elementShape",t,n,r),ke=lde("elementDType",t,n,r),we="TensorListReserve"===t.op?"numElements":"maxNumElements",Ie=lde(we,t,n,r),Ne="TensorListReserve"===t.op?-1:Ie,Se=cve(xe,ke,0,Ne),r.addTensorList(Se),e.abrupt("return",[Se.idTensor]);case 136:return Te=lde("tensorListId",t,n,r),Ee=lde("indices",t,n,r),Ce=lde("elementShape",t,n,r),Ae=lde("elementDType",t,n,r),Re=r.getTensorList(Te.id),e.abrupt("return",[Re.gather(Ee,Ae,Ce)]);case 142:return _e=lde("tensorListId",t,n,r),Oe=lde("elementShape",t,n,r),Fe=lde("elementDType",t,n,r),De=lde("numElements",t,n,r),Me=r.getTensorList(_e.id),e.abrupt("return",[Me.stack(Oe,Fe,De)]);case 148:return Le=lde("tensor",t,n,r),ze=lde("elementShape",t,n,r),Pe=lde("elementDType",t,n,r),Be=uve(Le,ze,Pe),r.addTensorList(Be),e.abrupt("return",[Be.idTensor]);case 154:return We=lde("tensorListId",t,n,r),Ue=r.getTensorList(We.id),Ve=lde("dtype",t,n,r),Ge=lde("elementShape",t,n,r),e.abrupt("return",[Ue.concat(Ve,Ge)]);case 159:return je=lde("tensorListId",t,n,r),He=lde("tensor",t,n,r),(qe=r.getTensorList(je.id)).pushBack(He),e.abrupt("return",[qe.idTensor]);case 164:return Ke=lde("tensorListId",t,n,r),Xe=lde("elementShape",t,n,r),Ye=lde("elementDType",t,n,r),Je=r.getTensorList(Ke.id),e.abrupt("return",[Je.popBack(Xe,Ye)]);case 169:return Ze=lde("tensor",t,n,r),Qe=lde("elementShape",t,n,r),$e=lde("lengths",t,n,r),et=hve(Ze,$e,Qe),r.addTensorList(et),e.abrupt("return",[et.idTensor]);case 175:return tt=lde("tensorListId",t,n,r),nt=r.getTensorList(tt.id),e.abrupt("return",[i9(nt.size(),"int32")]);case 178:return rt=lde("tensorListId",t,n,r),at=lde("size",t,n,r),it=r.getTensorList(rt.id),ot=it.resize(at),r.addTensorList(ot),e.abrupt("return",[ot.idTensor]);case 184:throw TypeError("Node type ".concat(t.op," is not implemented"));case 185:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function fve(e,t,n){var r=S(lde("fusedOps",e,t,n),2),a=r[0],i=r[1],o="biasadd"===a,s=!o,u="prelu"===i,c="fusedbatchnorm"===a,l=lde("numArgs",e,t,n);if(o){if(u&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!u&&o&&1!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(c)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported");var h=lde("strides",e,t,n),p=mde(e,t,n),f=lde("dataFormat",e,t,n).toUpperCase(),d=lde("dilations",e,t,n),v=S(lde("args",e,t,n),2),m=v[0],g=v[1];return s&&(g=m,m=void 0),{stride:h,pad:p,dataFormat:f,dilations:d,biasArg:m,preluArg:g,activationFunc:i,leakyreluAlpha:lde("leakyreluAlpha",e,t,n)}}var dve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"Conv1D":var a=lde("stride",e,t,n),i=lde("pad",e,t,n),o=lde("dataFormat",e,t,n).toUpperCase(),s=lde("dilation",e,t,n);return[r.conv1d(lde("x",e,t,n),lde("filter",e,t,n),a,i,o,s)];case"Conv2D":var u=lde("strides",e,t,n),c=mde(e,t,n),l=lde("dataFormat",e,t,n).toUpperCase(),h=lde("dilations",e,t,n);return[r.conv2d(lde("x",e,t,n),lde("filter",e,t,n),[u[1],u[2]],c,l,[h[1],h[2]])];case"_FusedConv2D":var p=fve(e,t,n),f=p.stride,d=p.pad,v=p.dataFormat,m=p.dilations,g=p.biasArg,y=p.preluArg,b=p.activationFunc,x=p.leakyreluAlpha;return[r.fused.conv2d({x:lde("x",e,t,n),filter:lde("filter",e,t,n),strides:[f[1],f[2]],pad:d,dataFormat:v,dilations:[m[1],m[2]],bias:g,activation:b,preluActivationWeights:y,leakyreluAlpha:x})];case"FusedDepthwiseConv2dNative":var k=fve(e,t,n),w=k.stride,I=k.pad,N=k.dataFormat,S=k.dilations,T=k.biasArg,E=k.preluArg,C=k.activationFunc,A=k.leakyreluAlpha;return[r.fused.depthwiseConv2d({x:lde("x",e,t,n),filter:lde("filter",e,t,n),strides:[w[1],w[2]],pad:I,dataFormat:N,dilations:[S[1],S[2]],bias:T,activation:C,preluActivationWeights:E,leakyreluAlpha:A})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=lde("outputShape",e,t,n),_=lde("strides",e,t,n),O=mde(e,t,n);return[r.conv2dTranspose(lde("x",e,t,n),lde("filter",e,t,n),R,[_[1],_[2]],O)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var F=lde("strides",e,t,n),D=mde(e,t,n),M=lde("dilations",e,t,n),L=lde("dataFormat",e,t,n).toUpperCase();return[r.depthwiseConv2d(lde("input",e,t,n),lde("filter",e,t,n),[F[1],F[2]],D,L,[M[1],M[2]])];case"Conv3D":var z=lde("strides",e,t,n),P=lde("pad",e,t,n),B=lde("dataFormat",e,t,n).toUpperCase(),W=lde("dilations",e,t,n);return[r.conv3d(lde("x",e,t,n),lde("filter",e,t,n),[z[1],z[2],z[3]],P,B,[W[1],W[2],W[3]])];case"AvgPool":var U=lde("strides",e,t,n),V=lde("pad",e,t,n),G=lde("kernelSize",e,t,n);return[r.avgPool(lde("x",e,t,n),[G[1],G[2]],[U[1],U[2]],V)];case"MaxPool":var j=lde("strides",e,t,n),H=lde("pad",e,t,n),q=lde("kernelSize",e,t,n);return[r.maxPool(lde("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H)];case"MaxPoolWithArgmax":var K=lde("strides",e,t,n),X=lde("pad",e,t,n),Y=lde("kernelSize",e,t,n),J=lde("includeBatchInIndex",e,t,n),Z=r.maxPoolWithArgmax(lde("x",e,t,n),[Y[1],Y[2]],[K[1],K[2]],X,J),Q=Z.result,$=Z.indexes;return[Q,$];case"AvgPool3D":var ee=lde("strides",e,t,n),te=lde("pad",e,t,n),ne=lde("kernelSize",e,t,n);return[r.avgPool3d(lde("x",e,t,n),[ne[1],ne[2],ne[3]],[ee[1],ee[2],ee[3]],te)];case"MaxPool3D":var re=lde("strides",e,t,n),ae=lde("pad",e,t,n),ie=lde("kernelSize",e,t,n);return[r.maxPool3d(lde("x",e,t,n),[ie[1],ie[2],ie[3]],[re[1],re[2],re[3]],ae)];case"Dilation2D":var oe=lde("strides",e,t,n),se=lde("pad",e,t,n),ue=lde("dilations",e,t,n),ce=oe[1],le=oe[2],he=ue[1],pe=ue[2];return[r.dilation2d(lde("x",e,t,n),lde("filter",e,t,n),[ce,le],se,[he,pe],"NHWC")];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},vve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"Fill":var a=lde("shape",e,t,n),i=lde("dtype",e,t,n),o=lde("value",e,t,n);return[r.fill(a,o,i)];case"LinSpace":var s=lde("start",e,t,n),u=lde("stop",e,t,n),c=lde("num",e,t,n);return[r.linspace(s,u,c)];case"Multinomial":var l=lde("logits",e,t,n),h=lde("numSamples",e,t,n),p=lde("seed",e,t,n);return[r.multinomial(l,h,p)];case"OneHot":var f=lde("indices",e,t,n),d=lde("depth",e,t,n),v=lde("onValue",e,t,n),m=lde("offValue",e,t,n),g=lde("dtype",e,t,n);return[r.oneHot(f,d,v,m,g)];case"Ones":return[r.ones(lde("shape",e,t,n),lde("dtype",e,t,n))];case"OnesLike":return[r.onesLike(lde("x",e,t,n))];case"RandomStandardNormal":return[r.randomStandardNormal(lde("shape",e,t,n),lde("dtype",e,t,n),lde("seed",e,t,n))];case"RandomUniform":return[r.randomUniform(lde("shape",e,t,n),lde("minval",e,t,n),lde("maxval",e,t,n),lde("dtype",e,t,n))];case"RandomUniformInt":return[r.randomUniformInt(lde("shape",e,t,n),lde("minval",e,t,n),lde("maxval",e,t,n),lde("seed",e,t,n))];case"Range":var y=lde("start",e,t,n),b=lde("stop",e,t,n),x=lde("step",e,t,n);return[r.range(y,b,x,lde("dtype",e,t,n))];case"TruncatedNormal":var k=lde("shape",e,t,n),w=lde("mean",e,t,n),I=lde("stdDev",e,t,n),N=lde("seed",e,t,n);return[r.truncatedNormal(k,w,I,lde("dtype",e,t,n),N)];case"Zeros":return[r.zeros(lde("shape",e,t,n),lde("dtype",e,t,n))];case"ZerosLike":return[r.zerosLike(lde("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function mve(e,t,n){return{boxes:lde("boxes",e,t,n),scores:lde("scores",e,t,n),maxOutputSize:lde("maxOutputSize",e,t,n),iouThreshold:lde("iouThreshold",e,t,n),scoreThreshold:lde("scoreThreshold",e,t,n),softNmsSigma:lde("softNmsSigma",e,t,n)}}var gve=function(){var e=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S,T,E,C,A,R,_=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=_.length>4&&void 0!==_[4]?_[4]:$de,e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?4:"NonMaxSuppressionV4"===e.t0?9:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?15:"Where"===e.t0?20:"ListDiff"===e.t0?27:28;break;case 4:return s=mve(t,n,r),u=s.boxes,c=s.scores,l=s.maxOutputSize,h=s.iouThreshold,p=s.scoreThreshold,f=s.softNmsSigma,e.next=7,i.image.nonMaxSuppressionWithScoreAsync(u,c,l,h,p,f);case 7:return d=e.sent,e.abrupt("return",[d.selectedIndices,d.selectedScores]);case 9:return v=mve(t,n,r),m=v.boxes,g=v.scores,y=v.maxOutputSize,b=v.iouThreshold,x=v.scoreThreshold,k=lde("padToMaxOutputSize",t,n,r),e.next=13,i.image.nonMaxSuppressionPaddedAsync(m,g,y,b,x,k);case 13:return w=e.sent,e.abrupt("return",[w.selectedIndices,w.validOutputs]);case 15:return I=mve(t,n,r),N=I.boxes,S=I.scores,T=I.maxOutputSize,E=I.iouThreshold,C=I.scoreThreshold,e.next=18,i.image.nonMaxSuppressionAsync(N,S,T,E,C);case 18:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 20:return A=i.cast(lde("condition",t,n,r),"bool"),e.next=23,i.whereAsync(A);case 23:return e.t2=e.sent,R=[e.t2],A.dispose(),e.abrupt("return",R);case 27:return e.abrupt("return",i.setdiff1dAsync(lde("x",t,n,r),lde("y",t,n,r)));case 28:throw TypeError("Node type ".concat(t.op," is not implemented"));case 29:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),yve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"LowerBound":var a=lde("sortedSequence",e,t,n),i=lde("values",e,t,n);return[r.lowerBound(a,i)];case"TopKV2":var o=lde("x",e,t,n),s=lde("k",e,t,n),u=lde("sorted",e,t,n),c=r.topk(o,s,u);return[c.values,c.indices];case"UpperBound":var l=lde("sortedSequence",e,t,n),h=lde("values",e,t,n);return[r.upperBound(l,h)];case"Unique":var p=lde("x",e,t,n),f=r.unique(p);return[f.values,f.indices];case"UniqueV2":var d=lde("x",e,t,n),v=lde("axis",e,t,n),m=r.unique(d,v);return[m.values,m.indices];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},bve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var a=lde("default",e,t,n);return[hde(e.name,t,n)||a];case"Placeholder":return[hde(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":var i=lde("x",e,t,n);return[gde(i)];case"IdentityN":return lde("x",e,t,n).map((function(e){return gde(e)}));case"Snapshot":var o=lde("x",e,t,n);return[gde(o)];case"Shape":return[r.tensor1d(lde("x",e,t,n).shape,"int32")];case"ShapeN":return lde("x",e,t,n).map((function(e){return r.tensor1d(e.shape)}));case"Size":return[r.scalar(lde("x",e,t,n).size,"int32")];case"Rank":return[r.scalar(lde("x",e,t,n).rank,"int32")];case"NoOp":return[r.scalar(1)];case"Print":var s=lde("x",e,t,n),u=lde("data",e,t,n),c=lde("message",e,t,n),l=lde("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(c);for(var h=0;h<u.length;h++)console.log(Array.prototype.slice.call(u[h].dataSync()).slice(0,l));return[s];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},xve=function(){function e(t,n){l(this,e),this.keyDType=t,this.valueDType=n,this.handle=i9(0),this.tensorMap=new Map,J5(this.handle)}var t,n;return p(e,[{key:"id",get:function(){return this.handle.id}},{key:"clearAndClose",value:function(){this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),this.handle.dispose()}},{key:"size",value:function(){return this.tensorMap.size}},{key:"tensorSize",value:function(){return i9(this.size(),"int32")}},{key:"import",value:(n=c(o().mark((function e(t,n){var r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,this.tensorMap.forEach((function(e){return e.dispose()})),this.tensorMap.clear(),e.abrupt("return",X5((function(){var e=rne(n),t=r.length,i=e.length;F$(t===i,(function(){return"The number of elements doesn't match, keys has "+"".concat(t," elements, the values has ").concat(i," ")+"elements."}));for(var o=0;o<t;o++){var s=r[o],u=e[o];J5(u),a.tensorMap.set(s,u)}return a.handle})));case 7:case"end":return e.stop()}}),e,this)}))),function(e,t){return n.apply(this,arguments)})},{key:"find",value:(t=c(o().mark((function e(t,n){var r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.checkKeyAndValueTensor(t,n),e.next=3,t.data();case 3:return r=e.sent,e.abrupt("return",X5((function(){for(var e=[],t=0;t<r.length;t++){var i=r[t],o=a.findWithDefault(i,n);e.push(o)}return Pte(e)})));case 5:case"end":return e.stop()}}),e,this)}))),function(e,n){return t.apply(this,arguments)})},{key:"findWithDefault",value:function(e,t){var n=this.tensorMap.get(e);return null!=n?n:t}},{key:"checkKeyAndValueTensor",value:function(e,t){if(e.dtype!==this.keyDType)throw new Error("Expect key dtype ".concat(this.keyDType,", but got ")+"".concat(e.dtype));if(t.dtype!==this.valueDType)throw new Error("Expect value dtype ".concat(this.valueDType,", but got ")+"".concat(t.dtype))}}]),e}(),kve=function(){var e=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="HashTable"===e.t0||"HashTableV2"===e.t0?3:"InitializeTable"===e.t0||"InitializeTableV2"===e.t0||"LookupTableImport"===e.t0||"LookupTableImportV2"===e.t0?13:"LookupTableFind"===e.t0||"LookupTableFindV2"===e.t0?21:"LookupTableSize"===e.t0||"LookupTableSizeV2"===e.t0?29:32;break;case 3:if(null==(i=a.getHashTableHandleByName(t.name))){e.next=8;break}return e.abrupt("return",[i]);case 8:return s=lde("keyDType",t,n,r),u=lde("valueDType",t,n,r),c=new xve(s,u),a.addHashTable(t.name,c),e.abrupt("return",[c.handle]);case 13:return l=lde("tableHandle",t,n,r,a),h=lde("keys",t,n,r),p=lde("values",t,n,r),f=a.getHashTableById(l.id),e.next=19,f.import(h,p);case 19:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 21:return d=lde("tableHandle",t,n,r,a),v=lde("keys",t,n,r),m=lde("defaultValue",t,n,r),g=a.getHashTableById(d.id),e.next=27,g.find(v,m);case 27:return e.t2=e.sent,e.abrupt("return",[e.t2]);case 29:return y=lde("tableHandle",t,n,r,a),b=a.getHashTableById(y.id),e.abrupt("return",[b.tensorSize()]);case 32:throw TypeError("Node type ".concat(t.op," is not implemented"));case 33:case"end":return e.stop()}}),e)})));return function(t,n,r,a){return e.apply(this,arguments)}}(),wve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"ResizeBilinear":var a=lde("images",e,t,n),i=lde("size",e,t,n),o=lde("alignCorners",e,t,n),s=lde("halfPixelCenters",e,t,n);return[r.image.resizeBilinear(a,[i[0],i[1]],o,s)];case"ResizeNearestNeighbor":var u=lde("images",e,t,n),c=lde("size",e,t,n),l=lde("alignCorners",e,t,n),h=lde("halfPixelCenters",e,t,n);return[r.image.resizeNearestNeighbor(u,[c[0],c[1]],l,h)];case"CropAndResize":var p=lde("image",e,t,n),f=lde("boxes",e,t,n),d=lde("boxInd",e,t,n),v=lde("cropSize",e,t,n),m=lde("method",e,t,n),g=lde("extrapolationValue",e,t,n);return[r.image.cropAndResize(p,f,d,v,m,g)];case"ImageProjectiveTransformV3":var y=lde("images",e,t,n),b=lde("transforms",e,t,n),x=lde("outputShape",e,t,n),k=lde("fillValue",e,t,n),w=lde("interpolation",e,t,n),I=lde("fillMode",e,t,n);return[r.image.transform(y,b,w.toLowerCase(),I.toLowerCase(),k,x)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Ive=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"Equal":return[r.equal(lde("a",e,t,n),lde("b",e,t,n))];case"NotEqual":return[r.notEqual(lde("a",e,t,n),lde("b",e,t,n))];case"Greater":return[r.greater(lde("a",e,t,n),lde("b",e,t,n))];case"GreaterEqual":return[r.greaterEqual(lde("a",e,t,n),lde("b",e,t,n))];case"Less":return[r.less(lde("a",e,t,n),lde("b",e,t,n))];case"LessEqual":return[r.lessEqual(lde("a",e,t,n),lde("b",e,t,n))];case"LogicalAnd":return[r.logicalAnd(lde("a",e,t,n),lde("b",e,t,n))];case"LogicalNot":return[r.logicalNot(lde("a",e,t,n))];case"LogicalOr":return[r.logicalOr(lde("a",e,t,n),lde("b",e,t,n))];case"Select":case"SelectV2":return[r.where(lde("condition",e,t,n),lde("a",e,t,n),lde("b",e,t,n))];case"BitwiseAnd":return[r.bitwiseAnd(lde("a",e,t,n),lde("b",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Nve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[r.matMul(lde("a",e,t,n),lde("b",e,t,n),lde("transposeA",e,t,n),lde("transposeB",e,t,n))];case"Einsum":return[r.einsum.apply(r,[lde("equation",e,t,n)].concat(T(lde("tensors",e,t,n))))];case"Transpose":return[r.transpose(lde("x",e,t,n),lde("perm",e,t,n))];case"_FusedMatMul":var a=lde("fusedOps",e,t,n),i=S(a,2),o=i[0],s=i[1],u="biasadd"===o,c="prelu"===s,l=lde("numArgs",e,t,n),h=lde("leakyreluAlpha",e,t,n);if(u){if(c&&2!==l)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!c&&1!==l)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var p=lde("args",e,t,n),f=S(p,2),d=f[0],v=f[1];return[r.fused.matMul({a:lde("a",e,t,n),b:lde("b",e,t,n),transposeA:lde("transposeA",e,t,n),transposeB:lde("transposeB",e,t,n),bias:d,activation:s,preluActivationWeights:v,leakyreluAlpha:h})];case"MatrixBandPart":return[r.linalg.bandPart(lde("a",e,t,n),lde("numLower",e,t,n),lde("numUpper",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Sve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"EuclideanNorm":return[r.euclideanNorm(lde("x",e,t,n),lde("axis",e,t,n),lde("keepDims",e,t,n))];case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[r.batchNorm(lde("x",e,t,n),lde("mean",e,t,n),lde("variance",e,t,n),lde("offset",e,t,n),lde("scale",e,t,n),lde("epsilon",e,t,n))];case"LRN":return[r.localResponseNormalization(lde("x",e,t,n),lde("radius",e,t,n),lde("bias",e,t,n),lde("alpha",e,t,n),lde("beta",e,t,n))];case"Softmax":return[r.softmax(lde("x",e,t,n))];case"LogSoftmax":return[r.logSoftmax(lde("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Tve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"RaggedGather":var a=r.raggedGather(lde("paramsNestedSplits",e,t,n),lde("paramsDenseValues",e,t,n),lde("indices",e,t,n),lde("outputRaggedRank",e,t,n)),i=a.outputNestedSplits,o=a.outputDenseValues;return i.concat(o);case"RaggedRange":var s=r.raggedRange(lde("starts",e,t,n),lde("limits",e,t,n),lde("splits",e,t,n)),u=s.rtNestedSplits,c=s.rtDenseValues;return[u,c];case"RaggedTensorToTensor":return[r.raggedTensorToTensor(lde("shape",e,t,n),lde("values",e,t,n),lde("defaultValue",e,t,n),lde("rowPartitionTensors",e,t,n),lde("rowPartitionTypes",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Eve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"Max":var a=lde("axis",e,t,n),i=lde("keepDims",e,t,n);return[r.max(lde("x",e,t,n),a,i)];case"Mean":var o=lde("axis",e,t,n),s=lde("keepDims",e,t,n);return[r.mean(lde("x",e,t,n),o,s)];case"Min":var u=lde("axis",e,t,n),c=lde("keepDims",e,t,n);return[r.min(lde("x",e,t,n),u,c)];case"Sum":var l=lde("axis",e,t,n),h=lde("keepDims",e,t,n);return[r.sum(lde("x",e,t,n),l,h)];case"All":var p=lde("axis",e,t,n),f=lde("keepDims",e,t,n);return[r.all(lde("x",e,t,n),p,f)];case"Any":var d=lde("axis",e,t,n),v=lde("keepDims",e,t,n);return[r.any(lde("x",e,t,n),d,v)];case"ArgMax":var m=lde("axis",e,t,n);return[r.argMax(lde("x",e,t,n),m)];case"ArgMin":var g=lde("axis",e,t,n);return[r.argMin(lde("x",e,t,n),g)];case"Prod":var y=lde("axis",e,t,n),b=lde("keepDims",e,t,n);return[r.prod(lde("x",e,t,n),y,b)];case"Cumprod":var x=lde("axis",e,t,n),k=lde("exclusive",e,t,n),w=lde("reverse",e,t,n);return[r.cumprod(lde("x",e,t,n),x,k,w)];case"Cumsum":var I=lde("axis",e,t,n),N=lde("exclusive",e,t,n),S=lde("reverse",e,t,n);return[r.cumsum(lde("x",e,t,n),I,N,S)];case"Bincount":var T=lde("x",e,t,n),E=lde("weights",e,t,n),C=lde("size",e,t,n);return[r.bincount(T,E,C)];case"DenseBincount":var A=lde("x",e,t,n),R=lde("weights",e,t,n),_=lde("size",e,t,n),O=lde("binaryOutput",e,t,n);return[r.denseBincount(A,R,_,O)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Cve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"ConcatV2":case"Concat":var a=lde("n",e,t,n),i=lde("axis",e,t,n),o=lde("tensors",e,t,n);return o=o.slice(0,a),[r.concat(o,i)];case"Gather":var s=lde("x",e,t,n),u=lde("indices",e,t,n);return[r.gather(s,r.cast(u,"int32"),0)];case"GatherV2":var c=lde("axis",e,t,n),l=lde("batchDims",e,t,n),h=lde("x",e,t,n),p=lde("indices",e,t,n);return[r.gather(h,r.cast(p,"int32"),c,l)];case"Reverse":for(var f=lde("dims",e,t,n),d=[],v=0;v<f.length;v++)f[v]&&d.push(v);var m=lde("x",e,t,n);return[r.reverse(m,d)];case"ReverseV2":var g=lde("axis",e,t,n),y=lde("x",e,t,n);return[r.reverse(y,g)];case"Slice":var b=lde("begin",e,t,n),x=lde("size",e,t,n);return[r.slice(lde("x",e,t,n),b,x)];case"StridedSlice":var k=lde("begin",e,t,n),w=lde("end",e,t,n),I=lde("strides",e,t,n),N=lde("beginMask",e,t,n),S=lde("endMask",e,t,n),T=lde("ellipsisMask",e,t,n),E=lde("newAxisMask",e,t,n),C=lde("shrinkAxisMask",e,t,n),A=lde("x",e,t,n);return[r.stridedSlice(A,k,w,I,N,S,T,E,C)];case"Pack":return X5((function(){var a=lde("axis",e,t,n),i=lde("tensors",e,t,n),o=i[0].shape,s=r.squeeze(i[0]).shape,u=i.map((function(e){var t=P$(e.shape,o);if(!t&&!P$(r.squeeze(e).shape,s))throw new Error("the input tensors shape does not match");return t?e:r.reshape(e,o)}));return[r.stack(u,a)]}));case"Unpack":var R=lde("axis",e,t,n),_=lde("tensor",e,t,n);return r.unstack(_,R);case"Tile":var O=lde("reps",e,t,n);return[r.tile(lde("x",e,t,n),O)];case"Split":case"SplitV":var F=lde("axis",e,t,n),D=lde("numOrSizeSplits",e,t,n),M=lde("x",e,t,n);return r.split(M,D,F);case"ScatterNd":var L=lde("indices",e,t,n),z=lde("values",e,t,n),P=lde("shape",e,t,n);return[r.scatterND(L,z,P)];case"GatherNd":var B=lde("x",e,t,n),W=lde("indices",e,t,n);return[r.gatherND(B,W)];case"SparseToDense":var U=lde("sparseIndices",e,t,n),V=lde("outputShape",e,t,n),G=lde("sparseValues",e,t,n),j=lde("defaultValue",e,t,n);return[r.sparseToDense(U,G,V,G.dtype===j.dtype?j:r.cast(j,G.dtype))];case"TensorScatterUpdate":var H=lde("indices",e,t,n),q=lde("values",e,t,n),K=lde("tensor",e,t,n);return[r.tensorScatterUpdate(K,H,q)];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Ave=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"SparseFillEmptyRows":var a=r.sparse.sparseFillEmptyRows(lde("indices",e,t,n),lde("values",e,t,n),lde("denseShape",e,t,n),lde("defaultValue",e,t,n)),i=a.outputIndices,o=a.outputValues,s=a.emptyRowIndicator,u=a.reverseIndexMap;return[i,o,s,u];case"SparseReshape":var c=r.sparse.sparseReshape(lde("inputIndices",e,t,n),lde("inputShape",e,t,n),lde("newShape",e,t,n)),l=c.outputIndices,h=c.outputShape;return[l,h];case"SparseSegmentMean":var p=r.sparse.sparseSegmentMean(lde("data",e,t,n),lde("indices",e,t,n),lde("segmentIds",e,t,n));return[p];case"SparseSegmentSum":var f=r.sparse.sparseSegmentSum(lde("data",e,t,n),lde("indices",e,t,n),lde("segmentIds",e,t,n));return[f];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Rve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"FFT":return[r.fft(lde("x",e,t,n))];case"IFFT":return[r.ifft(lde("x",e,t,n))];case"RFFT":return[r.rfft(lde("x",e,t,n))];case"IRFFT":return[r.irfft(lde("x",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},_ve=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"StaticRegexReplace":return[r.string.staticRegexReplace(lde("input",e,t,n),lde("pattern",e,t,n),lde("rewrite",e,t,n),lde("replaceGlobal",e,t,n))];case"StringNGrams":var a=r.string.stringNGrams(lde("data",e,t,n),lde("dataSplits",e,t,n),lde("separator",e,t,n),lde("nGramWidths",e,t,n),lde("leftPad",e,t,n),lde("rightPad",e,t,n),lde("padWidth",e,t,n),lde("preserveShortSequences",e,t,n)),i=a.nGrams,o=a.nGramsSplits;return[i,o];case"StringSplit":var s=r.string.stringSplit(lde("input",e,t,n),lde("delimiter",e,t,n),lde("skipEmpty",e,t,n)),u=s.indices,c=s.values,l=s.shape;return[u,c,l];case"StringToHashBucketFast":var h=r.string.stringToHashBucketFast(lde("input",e,t,n),lde("numBuckets",e,t,n));return[h];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}},Ove=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:$de;switch(e.op){case"Cast":return[r.cast(lde("x",e,t,n),lde("dtype",e,t,n))];case"ExpandDims":var a=lde("axis",e,t,n);return[r.expandDims(lde("x",e,t,n),a)];case"Squeeze":var i=lde("axis",e,t,n);return[r.squeeze(lde("x",e,t,n),i)];case"Reshape":return[r.reshape(lde("x",e,t,n),lde("shape",e,t,n))];case"EnsureShape":return[r.ensureShape(lde("x",e,t,n),lde("shape",e,t,n))];case"MirrorPad":return[r.mirrorPad(lde("x",e,t,n),lde("padding",e,t,n),lde("mode",e,t,n))];case"PadV2":case"Pad":return[r.pad(lde("x",e,t,n),lde("padding",e,t,n),lde("constantValue",e,t,n))];case"SpaceToBatchND":var o=lde("blockShape",e,t,n),s=lde("paddings",e,t,n);return[r.spaceToBatchND(lde("x",e,t,n),o,s)];case"BatchToSpaceND":var u=lde("blockShape",e,t,n),c=lde("crops",e,t,n);return[r.batchToSpaceND(lde("x",e,t,n),u,c)];case"DepthToSpace":var l=lde("blockSize",e,t,n),h=lde("dataFormat",e,t,n).toUpperCase();return[r.depthToSpace(lde("x",e,t,n),l,h)];case"BroadcastTo":return[r.broadcastTo(lde("x",e,t,n),lde("shape",e,t,n))];case"BroadcastArgs":return[r.broadcastArgs(lde("s0",e,t,n),lde("s1",e,t,n))];default:throw TypeError("Node type ".concat(e.op," is not implemented"))}};function Fve(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:X5,i=function(e,t,n){switch(e.category){case"arithmetic":return a((function(){return eve(e,t,n)}));case"basic_math":return a((function(){return tve(e,t,n)}));case"control":return pve(e,t,n);case"convolution":return a((function(){return dve(e,t,n)}));case"creation":return a((function(){return vve(e,t,n)}));case"dynamic":return gve(e,t,n);case"evaluation":return a((function(){return yve(e,t,n)}));case"image":return a((function(){return wve(e,t,n)}));case"graph":return a((function(){return bve(e,t,n)}));case"logical":return a((function(){return Ive(e,t,n)}));case"matrices":return a((function(){return Nve(e,t,n)}));case"normalization":return a((function(){return Sve(e,t,n)}));case"ragged":return a((function(){return Tve(e,t,n)}));case"reduction":return a((function(){return Eve(e,t,n)}));case"slice_join":return a((function(){return Cve(e,t,n)}));case"sparse":return a((function(){return Ave(e,t,n)}));case"spectral":return a((function(){return Rve(e,t,n)}));case"string":return a((function(){return _ve(e,t,n)}));case"transformation":return a((function(){return Ove(e,t,n)}));case"hash_table":return kve(e,t,n,r);case"custom":var i=cde(e.op);if(i&&i.customExecutor)return i.customExecutor(new Qde(e,t,n));throw TypeError("Custom op ".concat(e.op," is not registered."));default:throw TypeError("Unknown op '".concat(e.op,"'. File an issue at ")+"https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return v0(i)?i.then((function(e){return[].concat(e)})):[].concat(i)}var Dve=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{},i=arguments.length>4?arguments[4]:void 0;l(this,e),this.weightMap=t,this.tensorArrayMap=n,this.tensorListMap=r,this.functionMap=a,this.parseNodeNameCache=i,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return p(e,[{key:"newFrame",value:function(e,t){return{id:e,frameName:t,iterationId:0}}},{key:"currentContext",get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}},{key:"generateCurrentContextIds",value:function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e}},{key:"contextIdforContexts",value:function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":"".concat(e.frameName,"-").concat(e.iterationId)})).join("/"):""}},{key:"enterFrame",value:function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}},{key:"exitFrame",value:function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()}},{key:"nextIteration",value:function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}},{key:"getWeight",value:function(e){return this.weightMap[e]}},{key:"addTensorArray",value:function(e){this.tensorArrayMap[e.id]=e}},{key:"getTensorArray",value:function(e){return this.tensorArrayMap[e]}},{key:"addTensorList",value:function(e){this.tensorListMap[e.id]=e}},{key:"getTensorList",value:function(e){return this.tensorListMap[e]}},{key:"dispose",value:function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)}}]),e}();function Mve(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,c=new Set(Object.keys(e).map((function(e){return vde(e)[0]})));r=r||[];for(var l=new Set(r.map((function(e){return vde(e.name)[0]}))),h=T(t);h.length>0;){var p=h.pop();(Uve(p)||Vve(p)||Gve(p))&&null==o&&(s=(o=p).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(p.name),null==n[p.name]&&(c.has(p.name)||l.has(p.name)||(0!==p.inputs.length?p.inputs.forEach((function(e){u.has(e.name)||(u.add(e.name),h.push(e))})):i.push(p.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}function Lve(e,t){var n=t.usedNodes,r=t.inputs,a=Object.keys(r).map((function(e){return vde(e)[0]})).map((function(t){return e.nodes[t]})),i=e.initNodes||[],o=function(e){return n.has("string"==typeof e?e:e.name)};function s(e){return T(new Map(e.map((function(e){return[e.name,e]}))).values())}var u,c=s([].concat(T(a),T(e.weights),T(i))).filter(o),l=s([].concat(T(c),T(Object.values(e.nodes)))).filter(o),h=new Map(l.map((function(e){return[e.name,e]}))),p={},f=O(l);try{for(f.s();!(u=f.n()).done;){var d=u.value;p[d.name]=p[d.name]||0;var v,m=O(d.children);try{for(m.s();!(v=m.n()).done;){var g=v.value;o(g)||(p[g.name]=Number.POSITIVE_INFINITY),p[g.name]=(p[g.name]||0)+1}}catch(e){m.e(e)}finally{m.f()}}}catch(e){f.e(e)}finally{f.f()}for(var y=Object.entries(p).filter((function(e){return 0===S(e,2)[1]})).map((function(e){return S(e,1)[0]})),b=T(y);y.length>0;){var x,k=y.pop(),w=O(h.get(k).children.filter(o));try{for(w.s();!(x=w.n()).done;){var I=x.value;0==--p[I.name]&&(b.push(I.name),y.push(I.name))}}catch(e){w.e(e)}finally{w.f()}}var N=function(e,t){var n=new Map(e.map((function(e){return[e.name,e]}))),r=t.map((function(e){return e.name})),a=new Set(r);for(;r.length>0;){var i,o=r.pop(),s=O(n.get(o).children);try{for(s.s();!(i=s.n()).done;){var u=i.value;n.has(u.name)&&!a.has(u.name)&&(a.add(u.name),r.push(u.name))}}catch(e){s.e(e)}finally{s.f()}}var c=e.filter((function(e){return a.has(e.name)}));return c}(b.map((function(e){return h.get(e)})),c);return function(e,t){var n,r=new Map(e.map((function(e,t){return[e.name,t]}))),a=new Set(t.map((function(e){return e.name}))),i=function(e){return a.has("string"==typeof e?e:e.name)},o=new Set(e.map((function(e){return e.name}))),s=function(e){return o.has("string"==typeof e?e:e.name)},u=O(e);try{for(u.s();!(n=u.n()).done;){var c,l=n.value,h=O(l.children.filter(s));try{for(h.s();!(c=h.n()).done;){var p=c.value;if(!r.has(p.name))throw new zve("Child ".concat(p.name," of node ").concat(l.name," is unreachable."));if(r.get(l.name)>r.get(p.name))throw new zve("Node ".concat(l.name," is scheduled to run after its child ").concat(p.name,"."))}}catch(e){h.e(e)}finally{h.f()}if(!i(l)){var f,d=O(l.inputs);try{for(d.s();!(f=d.n()).done;){var v=f.value;if(!r.has(v.name))throw new zve("Input ".concat(v.name," of node ").concat(l.name," is unreachable."));if(r.get(v.name)>r.get(l.name))throw new zve("Node ".concat(l.name," is scheduled to run before its input ").concat(v.name,"."))}}catch(e){d.e(e)}finally{d.f()}}}}catch(e){u.e(e)}finally{u.f()}}(N,c),N}var zve=function(e){d(n,e);var t=w(n);function n(e){return l(this,n),t.call(this,"NodesExecutionOrderError: ".concat(e))}return p(n)}(b(Error));var Pve=new Set(["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"]),Bve=new Set(["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"]),Wve=new Set(["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2","LookupTableSize","LookupTableSizeV2"]);function Uve(e){return Pve.has(e.op)}function Vve(e){return Bve.has(e.op)}function Gve(e){return Wve.has(e.op)}var jve=function(){function e(t,n){var r=this;l(this,e),this.graph=t,this.parent=n,this.compiledMap=new Map,this.parseNodeNameCache=new Map,this._weightMap={},this.SEPARATOR=",",this._functions={},this._functionExecutorMap={},this.keepIntermediateTensors=!1,this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}var t,n,r,a;return p(e,[{key:"weightIds",get:function(){return this.parent?this.parent.weightIds:this._weightIds}},{key:"functionExecutorMap",get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}},{key:"weightMap",get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(e){var t,n=Object.keys(e).map((function(t){return e[t].map((function(e){return e.id}))}));this._weightIds=(t=[]).concat.apply(t,T(n)),this._weightMap=e}},{key:"resourceManager",set:function(e){this._resourceManager=e}},{key:"inputs",get:function(){return this._inputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"outputs",get:function(){return this._outputs.map((function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}}))}},{key:"inputNodes",get:function(){return this._inputs.map((function(e){return e.signatureKey||e.name}))}},{key:"outputNodes",get:function(){return this._outputs.map((function(e){var t=e.signatureKey||e.name;return e.defaultOutput?"".concat(t,":").concat(e.defaultOutput):t}))}},{key:"functions",get:function(){var e=this;return Object.keys(this._functions).reduce((function(t,n){return t[n]=e._functions[n].signature,t}),{})}},{key:"getCompilationKey",value:function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPARATOR)+"--"+r.join(this.SEPARATOR)}},{key:"compile",value:function(e,t){var n=Mve(e,t,this.weightMap,this._initNodes),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)throw new Error("This execution contains the node '".concat(a.name,"', which has ")+"the dynamic op '".concat(a.op,"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+"dynamic ops, specify the inputs [".concat(i,"]"));if(r.length>0){var o=t.map((function(e){return e.name})),s=Object.keys(e);throw new Error("Cannot compute the outputs [".concat(o,"] from the provided inputs ")+"[".concat(s,"]. Missing the following inputs: [").concat(r,"]"))}var u=Lve(this.graph,n),c=function(e){for(var t=new Map(e.map((function(e,t){return[e.name,t]}))),n=Number.MAX_SAFE_INTEGER,r=e.map((function(e,t){return Uve(e)?n:t})),a=function(e){var n=r[t.get(e.name)];return null==n?-1:n},i=e.map((function(e,t){return e.children.map(a).reduce((function(e,t){return Math.max(e,t)}),r[t])})),o=new Map,s=0;s<e.length;++s){var u=i[s];if(u!==n){var c=e[s],l=e[u];o.has(l.name)||o.set(l.name,[]),o.get(l.name).push(c)}}return o}(u);return{orderedNodes:u,nodeLiveUntilMap:c}}},{key:"cloneAndKeepTensor",value:function(e){if(null==e)return null;var t=e.clone();return J5(t),t}},{key:"cloneTensorList",value:function(e){var t=this;if(!e)return null;var n=e.map((function(e){return t.cloneAndKeepTensor(e)}));return n}},{key:"cloneTensorMap",value:function(e){var t=this;return Object.fromEntries(Object.entries(e).map((function(e){var n=S(e,2),r=n[0],a=n[1];return[r,t.cloneTensorList(a)]})))}},{key:"execute",value:function(e,t){var n=this;this.disposeIntermediateTensors(),e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var a=r.map((function(e){return n.graph.nodes[vde(e)[0]]})),i=t.map((function(e){return vde(e)[0]})),o=new Set(i),s=i.map((function(e){return n.graph.nodes[e]}));0===s.length&&(s=this._outputs);var u=this.getCompilationKey(a,s),c=this.compiledMap.get(u);null==c&&(c=this.compile(e,s),this.compiledMap.set(u,c));try{this.keepIntermediateTensors=k0().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}var l={},h={};return X5((function(){var r=new Dve(n.weightMap,l,h,n.functionExecutorMap,n.parseNodeNameCache),a=Object.assign({},n.weightMap);n.keepIntermediateTensors&&(n.clonedTensorsMap=n.cloneTensorMap(n.weightMap)),Object.keys(e).forEach((function(t){var i=S(vde(t,r),2),o=i[0],s=[];s[i[1]]=e[t],a[o]=s,n.keepIntermediateTensors&&(n.clonedTensorsMap[o]=n.cloneTensorList(s))}));var i,s=n.getFrozenTensorIds(a),u=c,p=u.orderedNodes,f=u.nodeLiveUntilMap,d=O(p);try{for(d.s();!(i=d.n()).done;){var v=i.value;if(!a[v.name]){var m=Fve(v,a,r,n._resourceManager);if(v0(m))throw new Error("The execution of the op '".concat(v.op,"' returned a promise. ")+"Please use model.executeAsync() instead.");a[v.name]=m,n.keepIntermediateTensors&&(n.clonedTensorsMap[v.name]=n.cloneTensorList(m)),n.checkTensorForDisposalWithNodeLiveUntilInfo(v,a,r,s,o,f.get(v.name))}}}catch(e){d.e(e)}finally{d.f()}return null==n.parent&&r.dispose(s),t.map((function(e){return hde(e,a,r)}))}))}},{key:"getFrozenTensorIds",value:function(e){var t=[].concat.apply([],Object.keys(e).map((function(t){return e[t]})).map((function(e){return e.map((function(e){return e.id}))})));return new Set(t)}},{key:"checkTensorForDisposal",value:function(e,t,n,r,a,i,o){if(!Uve(t)&&!i.has(e)){var s,u=O(n[e]);try{for(u.s();!(s=u.n()).done;){var c=s.value;null!=c&&(o[c.id]=(o[c.id]||0)+t.children.length)}}catch(e){u.e(e)}finally{u.f()}var l,h=O(t.inputs);try{for(h.s();!(l=h.n()).done;){var p=l.value;if(!Uve(p)){var f=pde(p.name,n,r);if(null!=f){var d,v=O(f);try{for(v.s();!(d=v.n()).done;){var m=d.value;if(m&&!m.kept&&!a.has(m.id)){var g=o[m.id];1===g?(m.dispose(),delete o[m.id]):null!=g&&o[m.id]--}}}catch(e){v.e(e)}finally{v.f()}}}}}catch(e){h.e(e)}finally{h.f()}}}},{key:"checkTensorForDisposalWithNodeLiveUntilInfo",value:function(e,t,n,r,a,i){function o(e){return Uve(e)||a.has(e.name)}if(!Uve(e)&&null!=i){var s,u=O(i);try{for(u.s();!(s=u.n()).done;){var c=s.value;if(!o(c)){var l,h=O(pde(c.name,t,n));try{for(h.s();!(l=h.n()).done;){var p=l.value;!p||p.kept||r.has(p.id)||p.dispose()}}catch(e){h.e(e)}finally{h.f()}}}}catch(e){u.e(e)}finally{u.f()}}}},{key:"executeAsync",value:(a=c(o().mark((function e(t,n){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this._executeAsync(t,n));case 1:case"end":return e.stop()}}),e,this)}))),function(e,t){return a.apply(this,arguments)})},{key:"disposeIntermediateTensors",value:function(){this.clonedTensorsMap&&(Object.values(this.clonedTensorsMap).forEach((function(e){var t,n=O(e);try{for(n.s();!(t=n.n()).done;){var r=t.value;r&&!r.isDisposed&&r.dispose()}}catch(e){n.e(e)}finally{n.f()}})),this.clonedTensorsMap=null)}},{key:"getIntermediateTensors",value:function(){return this.clonedTensorsMap}},{key:"_executeAsync",value:(r=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:r=f.length>2&&void 0!==f[2]&&f[2],a=f.length>3&&void 0!==f[3]?f[3]:{},i=f.length>4&&void 0!==f[4]?f[4]:{},this.disposeIntermediateTensors(),r||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),n=this.mapOutputs(n),this.checkOutputs(n));try{this.keepIntermediateTensors=k0().getBool("KEEP_INTERMEDIATE_TENSORS")}catch(e){this.keepIntermediateTensors=!1,console.warn(e.message)}return s=new Dve(this.weightMap,a,i,this.functionExecutorMap,this.parseNodeNameCache),this.keepIntermediateTensors&&(this.clonedTensorsMap=this.cloneTensorMap(this.weightMap)),e.next=10,this.executeWithControlFlow(t,s,n,r);case 10:return u=e.sent,c=n.map((function(e){return hde(e,u,s)})),l=c.map((function(e){return e.id})),h=Object.keys(t).map((function(e){return t[e].id})),p=new Set([].concat(T(l),T(h),T(this.weightIds))),Object.values(u).forEach((function(e){e.forEach((function(e){!e||e.isDisposed||p.has(e.id)||e.dispose()}))})),null==this.parent&&s.dispose(p),e.abrupt("return",c);case 18:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"executeFunctionAsync",value:(n=c(o().mark((function e(t,n,r){var a,i=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=t.reduce((function(e,t,n){return e[i.inputs[n].name]=t,e}),{}),e.abrupt("return",this._executeAsync(a,this.outputNodes,!0,n,r));case 2:case"end":return e.stop()}}),e,this)}))),function(e,t,r){return n.apply(this,arguments)})},{key:"executeWithControlFlow",value:(t=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:i=Object.keys(t),s=i.map((function(e){return N.graph.nodes[vde(e)[0]]})),u=r.map((function(e){return vde(e)[0]})),c=new Set(u),0===(l=u.map((function(e){return N.graph.nodes[e]}))).length&&(l=this._outputs),h=Mve(t,l,this.weightMap,this._initNodes),p=h.usedNodes,f=h.missingInputs,d=h.dynamicNode,v=h.syncInputs,m=[].concat(T(s),T(this.graph.weights),T(this._initNodes||[])).map((function(e){return{node:e,contexts:n.currentContext}})),g=Object.assign({},this.weightMap),Object.keys(t).forEach((function(e){var n=S(vde(e),2),r=n[0],a=[];a[n[1]]=t[e],g[r]=a})),y={},b=this.getFrozenTensorIds(g),x={};case 13:if(!(m.length>0)){e.next=19;break}return k=this.processStack(s,m,n,g,x,b,c,y,p),e.next=17,Promise.all(k);case 17:e.next=13;break;case 19:if(null!=d||a||console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),w=l.filter((function(e){return!Uve(e)&&!hde(e.name,g,n)})).map((function(e){return e.name})),!(w.length>0)){e.next=25;break}throw I="",null!=d&&(I="Alternatively, to avoid the dynamic ops, use model.execute() "+"and specify the inputs [".concat(v,"]")),new Error("Cannot compute the outputs [".concat(w,"] from the provided ")+"inputs [".concat(i,"]. Consider providing the following inputs: ")+"[".concat(f,"]. ").concat(I));case 25:return e.abrupt("return",g);case 26:case"end":return e.stop()}}),e,this)}))),function(e,n,r,a){return t.apply(this,arguments)})},{key:"processStack",value:function(e,t,n,r,a,i,o,s,u){for(var c=this,l=[],h=function(){var e=t.pop();n.currentContext=e.contexts;var h="";if("Enter"===e.node.op&&lde("isConstant",e.node,r,n)){var p=S(fde(e.node.name,n),1);h=p[0]}if(null==r[e.node.name]){var f=Fve(e.node,r,n,c._resourceManager);if(!h){var d=S(fde(e.node.name,n),1);h=d[0]}var v=n.currentContext;v0(f)?l.push(f.then((function(l){return r[h]=l,c.keepIntermediateTensors&&(c.clonedTensorsMap[h]=c.cloneTensorList(l)),n.currentContext=v,c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u),l}))):(r[h]=f,c.keepIntermediateTensors&&(c.clonedTensorsMap[h]=c.cloneTensorList(f)),c.checkTensorForDisposal(h,e.node,r,n,i,o,s),c.processChildNodes(e.node,t,n,r,a,u))}else c.processChildNodes(e.node,t,n,r,a,u)};t.length>0;)h();return l}},{key:"processChildNodes",value:function(e,t,n,r,a,i){e.children.forEach((function(e){var o=S(fde(e.name,n),1)[0];!a[o]&&i.has(e.name)&&("Merge"===e.op?e.inputNames.some((function(e){return!!hde(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every((function(e){return!!hde(e,r,n)}))&&(a[o]=!0,t.push({contexts:n.currentContext,node:e})))}))}},{key:"dispose",value:function(){var e=this;Object.keys(this.weightMap).forEach((function(t){return e.weightMap[t].forEach((function(e){return e.dispose()}))}))}},{key:"checkInputShapeAndType",value:function(e){var t=this;Object.keys(e).forEach((function(n){var r=e[n],a=S(vde(n),1)[0],i=t.graph.nodes[a];if(i.attrParams.shape&&i.attrParams.shape.value){var o=i.attrParams.shape.value,s=o.length===r.shape.length&&r.shape.every((function(e,t){return-1===o[t]||o[t]===e}));F$(s,(function(){return"The shape of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be [".concat(o,"], but was ")+"[".concat(r.shape,"]")}))}i.attrParams.dtype&&i.attrParams.dtype.value&&F$(r.dtype===i.attrParams.dtype.value,(function(){return"The dtype of dict['".concat(i.name,"'] provided in ")+"model.execute(dict) must be "+"".concat(i.attrParams.dtype.value,", but was ").concat(r.dtype)}))}))}},{key:"mapInputs",value:function(e){var t,n,r={};for(var a in e){var i=null===(n=null===(t=this._signature)||void 0===t?void 0:t.inputs)||void 0===n?void 0:n[a];null!=i?r[i.name]=e[a]:r[a]=e[a]}return r}},{key:"checkInputs",value:function(e){var t=this,n=Object.keys(e).filter((function(e){var n=S(vde(e),1)[0];return null==t.graph.nodes[n]}));if(n.length>0)throw new Error("The dict provided in model.execute(dict) has "+"keys: [".concat(n,"] that are not part of graph"))}},{key:"mapOutputs",value:function(e){var t=this;return e.map((function(e){var n,r,a=null===(r=null===(n=t._signature)||void 0===n?void 0:n.outputs)||void 0===r?void 0:r[e];return null!=a?a.name:e}),{})}},{key:"checkOutputs",value:function(e){var t=this;e.forEach((function(e){var n=S(vde(e),1)[0];if(!t.graph.nodes[n])throw new Error("The output '".concat(e,"' is not found in the graph"))}))}}]),e}(),Hve=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};l(this,e),this.hashTableNameToHandle=t,this.hashTableMap=n}return p(e,[{key:"addHashTable",value:function(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}},{key:"getHashTableHandleByName",value:function(e){return this.hashTableNameToHandle[e]}},{key:"getHashTableById",value:function(e){return this.hashTableMap[e]}},{key:"dispose",value:function(){for(var e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(var t in this.hashTableNameToHandle)this.hashTableNameToHandle[t].dispose(),delete this.hashTableNameToHandle[t]}}]),e}(),qve=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:Nae;l(this,e),this.modelUrl=t,this.loadOptions=n,this.version="n/a",this.io=r,null==n&&(this.loadOptions={}),this.resourceManager=new Hve}var t,n,r,a,i;return p(e,[{key:"modelVersion",get:function(){return this.version}},{key:"inputNodes",get:function(){return this.executor.inputNodes}},{key:"outputNodes",get:function(){return this.executor.outputNodes}},{key:"inputs",get:function(){return this.executor.inputs}},{key:"outputs",get:function(){return this.executor.outputs}},{key:"weights",get:function(){return this.executor.weightMap}},{key:"metadata",get:function(){return this.artifacts.userDefinedMetadata}},{key:"modelSignature",get:function(){return this.signature}},{key:"modelStructuredOutputKeys",get:function(){return this.structuredOutputKeys}},{key:"findIOHandler",value:function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=this.io.browserHTTPRequest(e,this.loadOptions);else{var t=this.io.getLoadHandlers(e,this.loadOptions);if(0===t.length)t.push(this.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one (".concat(t.length,") load handlers for ")+"URL '".concat([e],"'"));this.handler=t[0]}}},{key:"load",value:function(){var e=this;if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");var t=this.handler.load();return v0(t)?t.then((function(t){return null==t.getWeightStream?e.loadSync(t):e.loadStreaming(t)})):this.loadSync(t)}},{key:"loadSync",value:function(e){var t=this.io.decodeWeights(e.weightData,e.weightSpecs);return this.loadWithWeightMap(e,t)}},{key:"loadStreaming",value:(i=c(o().mark((function e(t){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=t.getWeightStream){e.next=2;break}throw new Error("Model artifacts missing streamWeights function");case 2:return e.next=4,l6(t.getWeightStream(),t.weightSpecs);case 4:return n=e.sent,e.abrupt("return",this.loadWithWeightMap(t,n));case 6:case"end":return e.stop()}}),e,this)}))),function(e){return i.apply(this,arguments)})},{key:"loadWithWeightMap",value:function(e,t){this.artifacts=e;var n=this.artifacts.modelTopology,r=this.artifacts.signature;if(null!=this.artifacts.userDefinedMetadata){var a=this.artifacts.userDefinedMetadata;null!=a.signature&&(r=a.signature),null!=a.structuredOutputKeys&&(this.structuredOutputKeys=a.structuredOutputKeys)}if(this.signature=r,this.version="".concat(n.versions.producer,".").concat(n.versions.minConsumer),this.executor=new jve(zde.Instance.transformGraph(n,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(t),this.executor.resourceManager=this.resourceManager,null!=e.modelInitializer&&null!=e.modelInitializer.node){var i=zde.Instance.transformGraph(e.modelInitializer);this.initializer=new jve(i),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializerSignature=e.initializerSignature}return!0}},{key:"save",value:(a=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=this.io.getSaveHandlers(t)).length){e.next=6;break}throw new Error("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(r.length>1)){e.next=8;break}throw new Error("Found more than one (".concat(r.length,") save handlers for ")+"URL '".concat(t,"'"));case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.abrupt("return",t.save(this.artifacts));case 12:case"end":return e.stop()}}),e,this)}))),function(e,t){return a.apply(this,arguments)})},{key:"addStructuredOutputNames",value:function(e){var t=this;if(this.structuredOutputKeys){var n={};return(e instanceof n5?[e]:e).forEach((function(e,r){return n[t.structuredOutputKeys[r]]=e})),n}return e}},{key:"predict",value:function(e,t){var n=this.execute(e,this.outputNodes);return this.addStructuredOutputNames(n)}},{key:"predictAsync",value:(r=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.executeAsync(t,this.outputNodes);case 2:return r=e.sent,e.abrupt("return",this.addStructuredOutputNames(r));case 4:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"normalizeInputs",value:function(e){var t,n=this;if(!(e instanceof 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t.apply(this,arguments)})}]),r}(Rme),Dme='"',Mme=Symbol("out"),Lme=Symbol("field"),zme=Symbol("quote"),Pme=Symbol("quoteafterquote"),Bme=Symbol("quoteinquote"),Wme=function(e){d(s,e);var t,n,r,a,i=w(s);function s(e,t){var n;return l(this,s),(n=i.call(this)).input=e,n.hasHeader=!0,n.fullColumnNames=null,n.columnNamesValidated=!1,n.columnConfigs=null,n.configuredColumnsOnly=!1,n.delimiter=",",n.delimWhitespace=!1,n.base=new Fme(e),t||(t={}),n.hasHeader=!1!==t.hasHeader,n.fullColumnNames=t.columnNames,n.columnConfigs=t.columnConfigs,n.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(F$(null==t.delimiter,(function(){return"Delimiter should not be provided when delimWhitespace is true."})),n.delimWhitespace=!0,n.delimiter=" "):n.delimiter=t.delimiter?t.delimiter:",",n}return p(s,[{key:"columnNames",value:(a=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.columnNamesValidated){e.next=3;break}return 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e[t]=e[t]+1||1,e}),{}),F$(0===(r=Object.keys(n).filter((function(e){return n[e]>1}))).length,(function(){return"Duplicate column names found: "+r.toString()})),!this.columnConfigs){e.next=22;break}a=0,i=Object.keys(this.columnConfigs);case 14:if(!(a<i.length)){e.next=22;break}if(s=i[a],-1!==this.fullColumnNames.indexOf(s)){e.next=19;break}throw new Error('The key "'+s+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");case 19:a++,e.next=14;break;case 22:this.columnNamesValidated=!0;case 23:case"end":return e.stop()}}),e,this)}))),function(){return r.apply(this,arguments)})},{key:"maybeReadHeaderLine",value:(n=c(o().mark((function e(){var t,n,r,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.hasHeader){e.next=14;break}return e.next=3,this.base.iterator();case 3:return t=e.sent,e.next=6,t.next();case 6:if(!(n=e.sent).done){e.next=9;break}throw new Error("No data was found for CSV parsing.");case 9:return r=n.value,a=this.parseRow(r,!1),e.abrupt("return",a);case 14:return e.abrupt("return",null);case 15:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"iterator",value:(t=c(o().mark((function e(){var t,n=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(this.columnNamesValidated){e.next=3;break}return e.next=3,this.setColumnNames();case 3:return e.next=5,this.base.iterator();case 5:return t=e.sent,this.hasHeader&&(t=t.skip(1)),e.abrupt("return",t.map((function(e){return n.makeDataElement(e)})));case 8:case"end":return e.stop()}}),e,this)}))),function(){return t.apply(this,arguments)})},{key:"makeDataElement",value:function(e){for(var t=this.parseRow(e),n={},r={},a=0;a<this.fullColumnNames.length;a++){var i=this.fullColumnNames[a],o=this.columnConfigs?this.columnConfigs[i]:null;if(!this.configuredColumnsOnly||o){var s=t[a],u=null;if(""===s)if(o&&void 0!==o.default)u=o.default;else{if(o&&(o.required||o.isLabel))throw new Error("Required column ".concat(i," is empty in this line: ").concat(e));u=void 0}else{var c=Number(s);if(isNaN(c))u=o&&"bool"===o.dtype?this.getBoolean(s):s;else if(o&&o.dtype)switch(o.dtype){case"float32":default:u=c;break;case"int32":u=Math.floor(c);break;case"bool":u=this.getBoolean(s)}else u=c}o&&o.isLabel?r[i]=u:n[i]=u}}return 0===Object.keys(r).length?n:{xs:n,ys:r}}},{key:"getBoolean",value:function(e){return"1"===e||"true"===e.toLowerCase()?1:0}},{key:"parseRow",value:function(e){for(var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=[],r=0,a=e.length,i=Mme,o=0;o<a;o++)switch(i){case Mme:switch(e.charAt(o)){case Dme:r=o+1,i=zme;break;case this.delimiter:if(r=o+1," "===this.delimiter&&this.delimWhitespace)break;n.push(""),i=Mme;break;default:i=Lme,r=o}break;case Lme:if(e.charAt(o)===this.delimiter)n.push(e.substring(r,o)),i=Mme,r=o+1;break;case zme:if(e.charAt(o)===Dme)i=Pme;break;case Pme:switch(e.charAt(o)){case this.delimiter:n.push(e.substring(r,o-1)),i=Mme,r=o+1;break;case Dme:i=zme;break;default:i=Bme}break;case Bme:if(e.charAt(o)===Dme)i=zme}if(i===Pme?n.push(e.substring(r,a-1)):n.push(e.substring(r)),t&&n.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. Should have ".concat(this.fullColumnNames.length," elements in a row, but got ").concat(n));return n}}]),s}(Rme),Ume=function(e){d(u,e);var t,n,r,a,i,s=w(u);function u(e){var t;l(this,u),(t=s.call(this)).microphoneConfig=e,t.isClosed=!1,t.fftSize=e.fftSize||1024;var n=Math.log2(t.fftSize);if(t.fftSize<0||n<4||n>14||!Number.isInteger(n))throw new Error("Invalid fftSize: it must be a power of 2 between "+"2 to 4 and 2 to 14, but got ".concat(t.fftSize));if(t.numFrames=e.numFramesPerSpectrogram||43,t.sampleRateHz=e.sampleRateHz,t.columnTruncateLength=e.columnTruncateLength||t.fftSize,t.audioTrackConstraints=e.audioTrackConstraints,t.smoothingTimeConstant=e.smoothingTimeConstant||0,t.includeSpectrogram=!1!==e.includeSpectrogram,t.includeWaveform=!0===e.includeWaveform,!t.includeSpectrogram&&!t.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.");return t}return p(u,[{key:"summary",value:function(){return"microphone"}},{key:"start",value:(i=c(o().mark((function e(){var t,n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.prev=0,e.next=3,navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1});case 3:this.stream=e.sent,e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(0),new Error("Error thrown while initializing video stream: ".concat(e.t0.message));case 9:if(this.stream){e.next=11;break}throw new Error("Could not obtain audio from microphone.");case 11:if(t=window.AudioContext||window.webkitAudioContext,this.audioContext=new t,this.sampleRateHz){e.next=17;break}this.sampleRateHz=this.audioContext.sampleRate,e.next=19;break;case 17:if(this.audioContext.sampleRate===this.sampleRateHz){e.next=19;break}throw new Error("Mismatch in sampling rate: "+"Expected: ".concat(this.sampleRateHz,"; ")+"Actual: ".concat(this.audioContext.sampleRate));case 19:return n=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,n.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),e.abrupt("return");case 27:case"end":return e.stop()}}),e,this,[[0,6]])}))),function(){return i.apply(this,arguments)})},{key:"next",value:(a=c(o().mark((function e(){var t,n,r,a,i;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:return e.next=4,this.getAudioData();case 4:return r=e.sent,this.includeSpectrogram&&(a=this.flattenQueue(r.freqDataQueue),t=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(i=this.flattenQueue(r.timeDataQueue),n=this.getTensorFromAudioDataArray(i,[this.numFrames*this.fftSize,1])),e.abrupt("return",{value:{spectrogram:t,waveform:n},done:!1});case 8:case"end":return e.stop()}}),e,this)}))),function(){return a.apply(this,arguments)})},{key:"capture",value:(r=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)}))),function(){return r.apply(this,arguments)})},{key:"getAudioData",value:(n=c(o().mark((function e(){var t,n,r,a=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[],n=[],r=0,e.abrupt("return",new Promise((function(e){var i=setInterval((function(){a.includeSpectrogram&&(a.analyser.getFloatFrequencyData(a.freqData),a.freqData[0]===-1/0&&e({freqDataQueue:t,timeDataQueue:n}),t.push(a.freqData.slice(0,a.columnTruncateLength))),a.includeWaveform&&(a.analyser.getFloatTimeDomainData(a.timeData),n.push(a.timeData.slice())),++r===a.numFrames&&(clearInterval(i),e({freqDataQueue:t,timeDataQueue:n}))}),a.fftSize/a.sampleRateHz*1e3)})));case 4:case"end":return e.stop()}}),e)}))),function(){return n.apply(this,arguments)})},{key:"stop",value:function(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}},{key:"toArray",value:function(){throw new Error("Can not convert infinite audio stream to array.")}},{key:"getSampleRate",value:function(){return this.sampleRateHz}},{key:"flattenQueue",value:function(e){var t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((function(e,r){return n.set(e,r*t)})),n}},{key:"getTensorFromAudioDataArray",value:function(e,t){var n=new Float32Array(L$(t));return n.set(e,n.length-e.length),V5(n,t)}}],[{key:"create",value:(t=c(o().mark((function e(){var t,n,r=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=r.length>0&&void 0!==r[0]?r[0]:{},k0().get("IS_BROWSER")){e.next=3;break}throw new Error("microphone API is only supported in browser environment.");case 3:return n=new u(t),e.next=6,n.start();case 6:return e.abrupt("return",n);case 7:case"end":return e.stop()}}),e)}))),function(){return t.apply(this,arguments)})}]),u}(fme),Vme=function(e){d(s,e);var t,n,r,a,i=w(s);function s(e,t){var n;if(l(this,s),(n=i.call(this)).webcamVideoElement=e,n.webcamConfig=t,n.isClosed=!0,n.resize=!1,n.needToResize())if(n.resize=!0,n.cropSize=[n.webcamConfig.resizeHeight,n.webcamConfig.resizeWidth],n.cropBoxInd=Vte([0],"int32"),n.webcamConfig.centerCrop){var r=1*n.webcamConfig.resizeWidth/n.webcamVideoElement.width,a=1*n.webcamConfig.resizeHeight/n.webcamVideoElement.height,o=(1-r)/2,u=(1-a)/2,c=o+r,h=a+u;n.cropBox=Gte([u,o,h,c],[1,4])}else n.cropBox=Gte([0,0,1,1],[1,4]);return n}return p(s,[{key:"summary",value:function(){return"webcam"}},{key:"start",value:(a=c(o().mark((function e(){var t=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.webcamConfig.facingMode&&F$("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,(function(){return"Invalid webcam facing mode: ".concat(t.webcamConfig.facingMode,". ")+"Please provide 'user' or 'environment'"})),e.prev=1,e.next=4,navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}});case 4:this.stream=e.sent,e.next=11;break;case 7:throw e.prev=7,e.t0=e.catch(1),e.t0.message="Error thrown while initializing video stream: ".concat(e.t0.message),e.t0;case 11:if(this.stream){e.next=13;break}throw new Error("Could not obtain video from webcam.");case 13:try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,e.abrupt("return",new Promise((function(e){t.webcamVideoElement.onloadedmetadata=function(){e()}})));case 17:case"end":return e.stop()}}),e,this,[[1,7]])}))),function(){return a.apply(this,arguments)})},{key:"next",value:(r=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.isClosed){e.next=2;break}return e.abrupt("return",{value:null,done:!0});case 2:e.prev=2,t=Fae(this.webcamVideoElement),e.next=9;break;case 6:throw e.prev=6,e.t0=e.catch(2),new Error("Error thrown converting video to pixels: ".concat(JSON.stringify(e.t0)));case 9:if(!this.resize){e.next=22;break}return e.prev=10,e.abrupt("return",{value:this.cropAndResizeFrame(t),done:!1});case 14:throw e.prev=14,e.t1=e.catch(10),new Error("Error thrown cropping the video: ".concat(e.t1.message));case 17:return e.prev=17,t.dispose(),e.finish(17);case 20:e.next=23;break;case 22:return e.abrupt("return",{value:t,done:!1});case 23:case"end":return e.stop()}}),e,this,[[2,6],[10,14,17,20]])}))),function(){return r.apply(this,arguments)})},{key:"needToResize",value:function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)}},{key:"cropAndResizeFrame",value:function(e){var t=this;return X5((function(){var n,r=f9(h8(e,"float32"),0),a=(n=Pre.cropAndResize(r,t.cropBox,t.cropBoxInd,t.cropSize,"bilinear")).shape;return X8(n,a.slice(1))}))}},{key:"capture",value:(n=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.next();case 2:return e.abrupt("return",e.sent.value);case 3:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"stop",value:function(){this.stream.getTracks().forEach((function(e){return e.stop()}));try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}},{key:"toArray",value:function(){throw new Error("Can not convert infinite video stream to array.")}}],[{key:"create",value:(t=c(o().mark((function e(t){var n,r,a=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(n=a.length>1&&void 0!==a[1]?a[1]:{},k0().get("IS_BROWSER")){e.next=3;break}throw new Error("tf.data.webcam is only supported in browser environment.");case 3:if(t){e.next=9;break}if(t=document.createElement("video"),n.resizeWidth&&n.resizeHeight){e.next=7;break}throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");case 7:t.width=n.resizeWidth,t.height=n.resizeHeight;case 9:return r=new s(t,n),e.next=12,r.start();case 12:return e.abrupt("return",r);case 13:case"end":return e.stop()}}),e)}))),function(e){return t.apply(this,arguments)})}]),s}(fme),Gme=p((function e(){l(this,e)})),jme=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"split",value:function(e){return new Hme(this,e)}}]),n}(fme),Hme=function(e){d(r,e);var t,n=w(r);function r(e,t){var a;return l(this,r),(a=n.call(this)).upstream=e,a.impl=new qme(e,t),a}return p(r,[{key:"summary",value:function(){return this.impl.summary()}},{key:"next",value:(t=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.impl.next());case 1:case"end":return e.stop()}}),e,this)}))),function(){return t.apply(this,arguments)})}]),r}(jme),qme=function(e){d(r,e);var t,n=w(r);function r(e,t){var a;return l(this,r),(a=n.call(this)).upstream=e,a.separator=t,a.carryover="",a}return p(r,[{key:"summary",value:function(){return"".concat(this.upstream.summary()," -> Split('").concat(this.separator,"')")}},{key:"pump",value:(t=c(o().mark((function e(){var t,n,r,a,i;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=9;break}if(""!==this.carryover){e.next=6;break}return e.abrupt("return",!1);case 6:return this.outputQueue.push(this.carryover),this.carryover="",e.abrupt("return",!0);case 9:(n=t.value.split(this.separator))[0]=this.carryover+n[0],r=O(n.slice(0,-1));try{for(r.s();!(a=r.n()).done;)i=a.value,this.outputQueue.push(i)}catch(e){r.e(e)}finally{r.f()}return this.carryover=n[n.length-1],e.abrupt("return",!0);case 15:case"end":return e.stop()}}),e,this)}))),function(){return t.apply(this,arguments)})}]),r}(Nme),Kme=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"decodeUTF8",value:function(){return new Xme(this)}}]),n}(fme),Xme=function(e){d(r,e);var t,n=w(r);function r(e){var t;return l(this,r),(t=n.call(this)).upstream=e,t.impl=new Yme(e),t}return p(r,[{key:"summary",value:function(){return this.impl.summary()}},{key:"next",value:(t=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this.impl.next());case 1:case"end":return e.stop()}}),e,this)}))),function(){return t.apply(this,arguments)})}]),r}(jme),Yme=function(e){d(r,e);var t,n=w(r);function r(e){var t;if(l(this,r),(t=n.call(this)).upstream=e,k0().get("IS_BROWSER"))t.decoder=new TextDecoder("utf-8");else{var a=require("string_decoder").StringDecoder;t.decoder=new a("utf8")}return t}return p(r,[{key:"summary",value:function(){return"".concat(this.upstream.summary()," -> Utf8")}},{key:"pump",value:(t=c(o().mark((function e(){var t,n,r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.upstream.next();case 2:if(!(t=e.sent).done){e.next=7;break}return e.abrupt("return",!1);case 7:n=t.value;case 8:return r=k0().get("IS_BROWSER")?this.decoder.decode(n,{stream:!0}):this.decoder.write(Buffer.from(n.buffer)),this.outputQueue.push(r),e.abrupt("return",!0);case 11:case"end":return e.stop()}}),e,this)}))),function(){return t.apply(this,arguments)})}]),r}(Nme),Jme=function(e){d(r,e);var t,n=w(r);function r(e){var t,a=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return l(this,r),(t=n.call(this)).file=e,t.options=a,F$(e instanceof Uint8Array||!!k0().get("IS_BROWSER")&&(e instanceof File||e instanceof Blob),(function(){return"FileChunkIterator only supports File, Blob and Uint8Array right now."})),t.offset=a.offset||0,t.chunkSize=a.chunkSize||1048576,t}return p(r,[{key:"summary",value:function(){return"FileChunks ".concat(this.file)}},{key:"next",value:(t=c(o().mark((function e(){var t,n=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size))){e.next=2;break}return 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a=S(_ye(n.data.get(r.dataId).values,r.shape,r.dtype),2),i=a[0],o=a[1];return n.makeTensorInfo(o,r.dtype,i)}},Fye=pge((function(e,t){return e!==t?1:0})),Dye=Ige(b2,Fye,null,"bool"),Mye={kernelName:b2,backendName:"cpu",kernelFunc:Dye};function Lye(e,t,n,r,a){for(var i=t.length,o=L$(t),s=i0(t),u=i0(a),c=q$(n,L$(a)),l=0;l<o;++l){for(var h=d0(l,i,s),p=new Array(h.length),f=0;f<p.length;f++)p[f]=h[r[f]];c[f0(p,i,u)]=e[l]}return c}function zye(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.perm;sge(a,"transpose");for(var o=a.shape.length,s=new Array(o),u=0;u<s.length;u++)s[u]=a.shape[i[u]];var c=Lye(r.data.get(a.dataId).values,a.shape,a.dtype,i,s);return{dataId:r.write(c,s,a.dtype),shape:s,dtype:a.dtype}}var Pye={kernelName:T3,backendName:"cpu",kernelFunc:zye};function Bye(e,t,n,r){for(var a=S(J7(e,r),2),i=a[0],o=a[1],s=h5(t,"int32"),u=l0(L$(i),s),c=L$(o),l=0;l<u.length;++l){for(var h=l*c,p=1,f=0;f<c;++f)p*=n[h+f];u[l]=p}return{outVals:u,outShape:i,outDtype:s}}var Wye={kernelName:A2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims;sge(a,"prod");var s=a.shape.length,u=j$(i,a.shape),c=$7(u,s),l=u,h=a,p=[];null!=c&&(h=zye({inputs:{x:a},backend:n,attrs:{perm:c}}),p.push(h),l=t9(l.length,s));var f=n.data.get(h.dataId).values,d=Bye(h.shape,h.dtype,f,l),v=d.outVals,m=d.outShape,g=d.outDtype,y=m;return o&&(y=Z7(m,u)),p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(y,g,v)}};function Uye(e,t,n,r){var a=[],i=0,o=t.length-1+n.length,s=new Array(o).fill(null).map((function(){return[0]}));!function(e,t){for(var n=0;n<e.length;++n){var r=e[n],a=n===e.length-1?t:e[n+1].length;if(0===r.length)throw new Error("Ragged splits may not be empty");if(r[0]<0)throw new Error("Ragged splits must be non-negative");if(r[r.length-1]>a)throw new Error("Ragged splits must not point past values");for(var i=1;i<r.length;++i)if(r[i-1]>r[i])throw new Error("Ragged splits must be sorted in ascending order")}}(n,r);for(var u=1,c=0;c<t.length-1;++c){u*=t[c];for(var l=t[c+1],h=1;h<u+1;++h)s[c].push(h*l)}for(var p=0;p<e.length;++p){for(var f=e[p],d=e[p]+1,v=0;v<n.length;++v){var m=n[v],g=v+t.length-1;if(g>=0)for(var y=s[g],b=y[y.length-1]-m[f],x=f;x<d;++x)s[g].push(m[x+1]+b);f=m[f],d=m[d]}d!==f&&(a.push([f,d]),i+=d-f)}return{outSplits:s,valueSlices:a,numValues:i}}function Vye(e,t){for(var n=e.slice(0,t);n.length<t;)n.push(1);for(var r=t;r<e.length;r++)n[t-1]*=e[r];return n}function Gye(e,t,n,r,a){var i=t.slice();i[0]=a;var o=K$(n,L$(i)),s=e.length;return function(e,t,n,r,a,i){var o,s=Vye(t,2)[1],u=Vye(i,2)[1],c=0,l=O(n);try{for(l.s();!(o=l.n()).done;)for(var h=o.value,p=h[0];p<h[1];++p){for(var f=0;f<r;++f)a[c*u+f]=e[p*s+f];++c}}catch(e){l.e(e)}finally{l.f()}}(e,t,r,0===s?0:s/t[0],o,i),[o,i]}function jye(e,t,n,r,a,i,o,s){if(0===e.length)throw new Error("paramsNestedSplits must be non empty");if(0===t[0].length)throw new Error("Split tensors must not be scalars");if(function(e,t,n){e.forEach((function(e,r){if(e<0||e>=n){var a=d0(r,t.length,i0(t)).join(",");throw new Error("indices[".concat(a,"] = ").concat(e," is not in [0, ").concat(n,")"))}}))}(i,o,t[0][0]-1),0===r.length)throw new Error("params.rank must be nonzero");var u=Uye(i,o,e,r[0]),c=u.outSplits,l=u.valueSlices,h=u.numValues,p=function(e){for(var t=[],n=function(){var n=K$("int32",e[r].length);t.push(n),e[r].forEach((function(e,t){return n[t]=e}))},r=0;r<e.length;++r)n();return t}(c),f=Gye(n,r,a,l,h);return[p,f[0],f[1]]}var Hye=2147483647;function qye(e,t,n,r,a,i,o){if(t.length>1)throw new Error("starts must be a scalar or vector");if(a.length>1)throw new Error("limits must be a scalar or vector");if(o.length>1)throw new Error("deltas must be a scalar or vector");var s=0===t.length,u=0===a.length,c=0===o.length,l=[];s||l.push(t[0]),u||l.push(a[0]),c||l.push(o[0]);for(var h=1;h<l.length;++h)if(l[h]!==l[h-1])throw new Error("starts, limits, and deltas must have the same shape");var p=0===l.length?1:l[0],f=K$("int32",p+1);f[0]=0;for(var d=0;d<p;++d){var v=s?e[0]:e[d],m=u?r[0]:r[d],g=c?i[0]:i[d];if(0===g)throw new Error("Requires delta != 0");var y=void 0;if(g>0&&m<v||g<0&&m>v)y=0;else if((y=Math.ceil(Math.abs((m-v)/g)))>Hye)throw new Error("Requires ((limit - start) / delta) <= ".concat(Hye));f[d+1]=f[d]+y}for(var b=K$(n,f[p]),x=0,k=0;k<p;++k)for(var w=f[k+1]-f[k],I=s?e[0]:e[k],N=c?i[0]:i[k],S=0;S<w;++S)b[x++]=I,I+=N;return[f,b]}var Kye=Qae,Xye=function(){function e(t,n,r,a,i,o,s,u,c,h){l(this,e),this.shape=t,this.shapeShape=n,this.values=r,this.valuesShape=a,this.valuesDType=i,this.defaultValue=o,this.defaultValueShape=s,this.rowPartitionValues=u,this.rowPartitionValuesShapes=c,this.rowPartitionTypes=uie(h),this.raggedRank=cie(this.rowPartitionTypes)}return p(e,[{key:"getRowPartitionTypeByDimension",value:function(e){return this.rowPartitionTypes[0]===Kye.FIRST_DIM_SIZE?this.rowPartitionTypes[e+1]:this.rowPartitionTypes[e]}},{key:"getRowPartitionTensor",value:function(e){return this.rowPartitionTypes[0]===Kye.FIRST_DIM_SIZE?this.rowPartitionValues[e+1]:this.rowPartitionValues[e]}},{key:"getMaxWidth",value:function(t){var n=this.getRowPartitionTensor(t-1);switch(this.getRowPartitionTypeByDimension(t-1)){case Kye.VALUE_ROWIDS:return e.getMaxWidthValueRowID(n);case Kye.ROW_SPLITS:return e.getMaxWidthRowSplit(n);default:throw new Error("Cannot handle partition type ".concat(Kye[this.getRowPartitionTypeByDimension(t-1)]))}}},{key:"tensorShapeFromTensor",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(0===t.length){if(-1===e[0])return[];throw new Error("The only valid scalar shape tensor is the fully unknown shape specified as -1.")}return Jye(e,n)}},{key:"calculateOutputSize",value:function(e){var t=this.valuesShape;lie(this.defaultValueShape,t);var n=this.tensorShapeFromTensor(this.shape,this.shapeShape),r=sie(this.raggedRank,n,t);r[0]<0&&(r[0]=e);for(var a=1;a<=this.raggedRank;++a)r[a]<0&&(r[a]=this.getMaxWidth(a));return r}},{key:"calculateFirstParentOutputIndex",value:function(e,t,n){for(var r=Math.min(e,n),a=[],i=0,o=0;o<r;++o,i+=t)a.push(i);for(var s=r;s<e;++s)a.push(-1);return F$(a.length===e,(function(){return"Final length of result must be equal to firstDimension."})),a}},{key:"calculateOutputIndexRowSplit",value:function(e,t,n,r){for(var a=e.length,i=[],o=0;o<a-1;++o){var s=e[o+1]-e[o],u=Math.min(r,s),c=t[o];-1===c&&(u=0);for(var l=0;l<u;++l)i.push(c),c+=n;for(var h=0;h<s-u;++h)i.push(-1)}if(a>0&&i.length!==e[a-1])throw new Error("Invalid row split size.");return i}},{key:"calculateOutputIndexValueRowID",value:function(e,t,n,r){var a=e.length,i=[];if(0===a)return[];var o=0,s=e[0];if(s>=t.length)throw new Error("Got currentValueRowId=".concat(s,", which is not less than ").concat(t.length));var u=t[s];i.push(u);for(var c=1;c<a;++c){var l=e[c];if(l===s)u>=0&&(++o<r?u+=n:u=-1);else{if(o=0,s=l,l>=t.length)throw new Error("Got nextValueRowId=".concat(l," which is not less than ").concat(t.length));u=t[l]}i.push(u)}if(i.length!==e.length)throw new Error("Invalid row ids.");return i}},{key:"calculateOutputIndex",value:function(e,t,n,r){var a=this.getRowPartitionTensor(e),i=this.getRowPartitionTypeByDimension(e);switch(i){case Kye.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(a,t,n,r);case Kye.ROW_SPLITS:if(a.length-1>t.length)throw new Error("Row partition size is greater than output size: ".concat(a.length-1," > ").concat(t.length));return this.calculateOutputIndexRowSplit(a,t,n,r);default:throw new Error("Unsupported partition type: ".concat(Kye[i]))}}},{key:"getFirstDimensionSize",value:function(){var e=this.rowPartitionValues[0];if(0===this.rowPartitionTypes.length)throw new Error("No row_partition_types given.");var t=this.rowPartitionTypes[0];switch(t){case Kye.FIRST_DIM_SIZE:return e[0];case Kye.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Kye.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error("Cannot handle type ".concat(Kye[t]))}}},{key:"compute",value:function(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. Tensor requires at least one element.");var e=this.getFirstDimensionSize(),t=this.calculateOutputSize(e),n=new Array(this.raggedRank+1);n[n.length-1]=1;for(var r=n.length-2;r>=0;--r)n[r]=n[r+1]*t[r+1];var a=Jye(t,!1),i=K$(this.valuesDType,L$(a));if(n[0]*t[0]>0){for(var o=this.calculateFirstParentOutputIndex(e,n[0],t[0]),s=1;s<=this.raggedRank;++s){o=this.calculateOutputIndex(s-1,o,n[s],t[s])}this.setOutput(this.raggedRank,o,i,a)}return[a,i]}},{key:"setOutput",value:function(e,t,n,r){if(0!==n.length){var a=this.values,i=n,o=r.slice(),s=L$(o=o.slice(e+1)),u=t.length,c=this.defaultValue;if(c.length!==s&&1!==c.length){var l=this.defaultValueShape;X5((function(){var e=X8(c,l),t=h7(e,o);c=t.dataSync()}))}for(var h=0,p=0,f=0,d=0;d<=u;++d){var v=d<u?t[d]:-1;if(v!==f){if(p<f){var m=a.subarray(h*s);Yye(i.subarray(p*s),m,(f-p)*s)}if(d>=u){var g=n.length;v=Math.floor(g/s)}if(v>f)if(1===this.defaultValue.length)i.subarray(f*s,v*s).fill(this.defaultValue[0]),f=v;else for(;v>f;){Yye(i.slice(f*s),c,s),++f}v<0?(h=d+1,p=f):(h=d,f=(p=f)+1)}else++f}}}}],[{key:"getMaxWidthRowSplit",value:function(e){var t=e.length;if(0===t||1===t)return 0;for(var n=0,r=0;r<t-1;++r){var a=e[r+1]-e[r];a>n&&(n=a)}return n}},{key:"getMaxWidthValueRowID",value:function(e){var t=e.length;if(0===t)return 0;for(var n=0,r=e[0],a=0,i=1;i<t;++i){var o=e[i];o!==r&&(r=o,a=Math.max(i-n,a),n=i)}return Math.max(t-n,a)}}]),e}();function Yye(e,t,n){for(var r=0;r<n;r++)e[r]=t[r]}function Jye(e,t){var n,r=[],a=O(e);try{for(a.s();!(n=a.n()).done;){var i=n.value;if(i<0){if(!t)throw new Error("Dimension ".concat(i," must be >= 0"));if(i<-1)throw new Error("Dimension ".concat(i," must be >= -1"));i=-1}r.push(i)}}catch(e){a.e(e)}finally{a.f()}return r}function Zye(e,t,n,r,a,i,o,s,u,c){return new Xye(e,t,n,r,a,i,o,s,u,c).compute()}function Qye(e,t,n,r){if(e===t||e<t&&n<0||t<e&&n>1)return l0(0,r);var a=l0(Math.abs(Math.ceil((t-e)/n)),r);t<e&&1===n&&(n=-1),a[0]=e;for(var i=1;i<a.length;i++)a[i]=a[i-1]+n;return a}var $ye=Dge((function(e){return 1/Math.sqrt(e)})),ebe=Lge(H2,$ye),tbe={kernelName:H2,backendName:"cpu",kernelFunc:ebe};function nbe(e,t,n,r,a,i,o,s,u,c){var l=[r/a,a],h=e.values,p=t.values;if(0===r)return l8(n,t.dtype);var f=u instanceof $4?u:l8(l,t.dtype);"string"==typeof u||"number"==typeof u?f.values.fill(u):"boolean"==typeof u&&f.values.fill(+u);for(var d=0;d<i;d++){for(var v=[],m=0,g=0;g<o;g++){var y=h[d*o+g];v.push(y),m+=y*s[g]}if(m<0||m>=r/a)throw new Error("Invalid indices: ".concat(v," does not index into ").concat(n));for(var b=0;b<a;b++)c?f.values[m*a+b]+=p[d*a+b]:f.values[m*a+b]=0===t.rank?p[0]:p[d*a+b]}return f}var rbe=Dge((function(e){return 1/(1+Math.exp(-e))})),abe=Mge(t3,(function(e){return 1/(1+Math.exp(-e))})),ibe={kernelName:t3,backendName:"cpu",kernelFunc:abe};function obe(e,t,n,r,a){var i=Kae(r,t,n),o=L$(n),s=i0(r);if(i){var u=Xae(t,s);return"string"===a?e.slice(u,u+o):e.subarray(u,u+o)}for(var c=l8(r,a,"string"===a?aoe(e):e),l=l8(n,a),h=0;h<l.size;++h){var p=l.indexToLoc(h),f=p.map((function(e,n){return e+t[n]}));l.set.apply(l,[c.get.apply(c,T(f))].concat(T(p)))}return"string"===a?ioe(l.values):l.values}function sbe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.size;sge(a,"slice");var s=S(Yae(a,i,o),2),u=s[0],c=s[1];zae(a,u,c);var l=obe(n.data.get(a.dataId).values,u,c,a.shape,a.dtype);return n.makeTensorInfo(c,a.dtype,l)}var ube={kernelName:Z2,backendName:"cpu",kernelFunc:sbe};function cbe(e,t,n,r,a,i,o){var s=t[0],u=i[0],c=new Array(u),l=new Array(s),h=t[1];if(0===u){if(0!==s)throw new Error(Gie(s));return[K$(n,0),[0,h],K$(a,0),c,l]}for(var p=!0,f=0,d=new Array(u).fill(0),v=0;v<s;++v){var m=e[v*h];if(m<0)throw new Error(jie(v,m));if(m>=u)throw new Error(Hie(v,m,u));++d[m],p=p&&m>=f,f=m}for(var g=!0,y=0;y<u;++y){var b=0===d[y];c[y]=b,g=g&&!b,d[y]=Math.max(d[y],1),y>0&&(d[y]+=d[y-1])}if(g&&p){for(var x=e,k=r,w=0;w<s;++w)l[w]=w;return[x,[s,h],k,c,l]}for(var 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h=q8(u),p=D8(a.shape,l,o,1,s,c,!1,h),f=p.strideHeight,d=p.strideWidth,v=p.filterHeight,m=p.filterWidth,g="channelsLast"===p.dataFormat,y=new $4(p.filterShape,"float32"),b=p.padInfo.left,x=p.padInfo.top,k=n.data.get(a.dataId).values,w=n.data.get(i.dataId).values,I=new $4(a.shape,a.dtype,k),N=new $4(i.shape,i.dtype,w),S=0;S<v;++S)for(var T=Math.max(0,Math.ceil((x-S)/f)),E=Math.min(p.outHeight,(p.inHeight+x-S)/f),C=0;C<m;++C)for(var A=Math.max(0,Math.ceil((b-C)/d)),R=Math.min(p.outWidth,(p.inWidth+b-C)/d),_=0;_<p.inChannels;++_)for(var O=0;O<p.outChannels;++O){for(var F=0,D=0;D<p.batchSize;++D)for(var M=T;M<E;++M)for(var L=S+M*f-x,z=A;z<R;++z){var P=C+z*d-b;F+=g?I.get(D,L,P,_)*N.get(D,M,z,O):I.get(D,_,L,P)*N.get(D,O,M,z)}y.set(F,S,C,_,O)}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var Vxe={kernelName:n1,backendName:"cpu",kernelFunc:function(e){var 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U=D+B*S[1],V=M+W*N[2],G=0;G<c.outWidth;++G)for(var j=z+G*c.outChannels,H=G*c.strideWidth-y,q=0;q<p;++q){var K=H+q*v;if(!(K<0||K>=c.inWidth))for(var X=U+q*S[2],Y=V+K*c.inChannels,J=X,Z=0;Z<c.inChannels;++Z){for(var Q=k[Y+Z],$=0;$<c.outChannels;++$)I[j+$]+=Q*w[J+$];J+=c.outChannels}}}}return n.makeTensorInfo(x.shape,x.dtype,x.values)}};var jxe={kernelName:a1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape;sge([a,i],"conv3dBackpropFilterV2");for(var c=i0(a.shape),l=i0(i.shape),h=M8(a.shape,u,o,1,s),p=h.strideDepth,f=h.strideHeight,d=h.strideWidth,v=h.filterDepth,m=h.filterHeight,g=h.filterWidth,y=new $4(h.filterShape,"float32"),b=y.values,x=S(y.strides,4),k=x[0],w=x[1],I=x[2],N=x[3],T=n.data.get(i.dataId).values,E=S(l,4),C=E[0],A=E[1],R=E[2],_=E[3],O=n.data.get(a.dataId).values,F=S(c,4),D=F[0],M=F[1],L=F[2],z=F[3],P=h.padInfo.front,B=h.padInfo.left,W=h.padInfo.top,U=0;U<v;++U)for(var V=Math.max(0,Math.ceil((P-U)/p)),G=Math.min(h.outDepth,(h.inDepth+P-U)/p),j=U*k,H=0;H<m;++H)for(var q=Math.max(0,Math.ceil((W-H)/f)),K=Math.min(h.outHeight,(h.inHeight+W-H)/f),X=H*w+j,Y=0;Y<g;++Y)for(var J=Math.max(0,Math.ceil((B-Y)/d)),Z=Math.min(h.outWidth,(h.inWidth+B-Y)/d),Q=Y*I+X,$=0;$<h.inChannels;++$)for(var ee=$*N+Q,te=0;te<h.outChannels;++te){for(var ne=0,re=0;re<h.batchSize;++re)for(var ae=re*D,ie=re*C,oe=V;oe<G;++oe)for(var se=(U+oe*p-P)*M+ae,ue=oe*A+ie,ce=q;ce<K;++ce)for(var le=(H+ce*f-W)*L+se,he=ce*R+ue,pe=J;pe<Z;++pe){var fe=pe*_+he;ne+=O[(Y+pe*d-B)*z+le+$]*T[fe+te]}b[ee+te]=ne}return n.makeTensorInfo(y.shape,y.dtype,y.values)}};var Hxe={kernelName:i1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=r.inputShape;sge([a],"conv3dBackpropInputV2");for(var c=i0(a.shape),l=i0(i.shape),h=M8(u,i.shape,s,1,o),p=new 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;sge(a,"cumprod");var u=$7([i],a.shape.length),c=a;null!=u&&(c=zye({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=t9(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumprod in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=h5(c.dtype,"int32"),p=c0(L$(c.shape),h),f=n.data.get(c.dataId).values,d=c.shape[c.shape.length-1],v=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},m=0;m<f.length;m+=d)for(var g=0;g<d;g++){var y=v(m,g);if(0===g)p[y]=o?1:f[y];else{var b=v(m,g-1);p[y]=o?f[b]*p[b]:f[y]*p[b]}}var x=n.makeTensorInfo(c.shape,h,p);if(null!=u){var k=zye({inputs:{x:x},backend:n,attrs:{perm:e9(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(c),k}return x}};var Qxe={kernelName:c1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;sge(a,"cumsum");var u=$7([i],a.shape.length),c=a;null!=u&&(c=zye({inputs:{x:a},backend:n,attrs:{perm:u}}));var l=t9(1,a.shape.length)[0];if(l!==c.shape.length-1)throw new Error("backend.cumsum in CPU expects an inner-most "+"axis=".concat(c.shape.length-1," but got axis=").concat(l));for(var h=h5(c.dtype,"int32"),p=l0(L$(c.shape),h),f=n.data.get(c.dataId).values,d=c.shape[c.shape.length-1],v=s?function(e,t){return e+d-t-1}:function(e,t){return e+t},m=0;m<f.length;m+=d)for(var g=0;g<d;g++){var y=v(m,g);if(0===g)p[y]=o?0:f[y];else{var b=v(m,g-1);p[y]=o?f[b]+p[b]:f[y]+p[b]}}var x=n.makeTensorInfo(c.shape,h,p);if(null!=u){var k=zye({inputs:{x:x},backend:n,attrs:{perm:e9(u)}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(c),k}return x}};var $xe={kernelName:h1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=Age(n.data.get(a.dataId).values,n.data.get(i.dataId).values,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,u)}if(2===a.shape.length){var c=Rge(n.bufferSync(a),n.bufferSync(i),o,s);return n.makeTensorInfo(c.shape,i.dtype,c.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}};var eke={kernelName:p1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat;F$("NHWC"===o,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got ".concat(o)}));for(var s=a.shape[0],u=a.shape[1],c=a.shape[2],l=a.shape[3],h=u*i,p=c*i,f=l/(i*i),d=n.data.get(a.dataId).values,v=new Float32Array(s*h*p*f),m=0,g=0;g<s;++g)for(var y=0;y<h;++y)for(var b=Math.floor(y/i),x=y%i,k=0;k<p;++k)for(var w=Math.floor(k/i),I=(x*i+k%i)*f,N=0;N<f;++N){var S=N+I+l*(w+c*(b+u*g));v[m++]=d[S]}return n.makeTensorInfo([s,h,p,f],a.dtype,v)}};function tke(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=r.dimRoundingMode;sge([a,i],"depthwiseConv2DNative");var l=i0(a.shape),h=i0(i.shape),p=u;null==p&&(p=[1,1]),F$(j8(o,p),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.dilations,u=r.pad,c=r.dimRoundingMode,l=r.filterShape;sge([a,i],"depthwiseConv2dNativeBackpropFilter");for(var h=D8(a.shape,l,o,s,u,c,!0),p=h.strideHeight,f=h.strideWidth,d=h.filterHeight,v=h.filterWidth,m=new $4(h.filterShape,"float32"),g=h.padInfo.left,y=h.padInfo.top,b=h.outChannels/h.inChannels,x=n.data.get(a.dataId).values,k=new $4(a.shape,a.dtype,x),w=n.data.get(i.dataId).values,I=new $4(i.shape,i.dtype,w),N=0;N<d;++N)for(var S=Math.max(0,Math.ceil((y-N)/p)),T=Math.min(h.outHeight,(h.inHeight+y-N)/p),E=0;E<v;++E)for(var C=Math.max(0,Math.ceil((g-E)/f)),A=Math.min(h.outWidth,(h.inWidth+g-E)/f),R=0;R<h.outChannels;++R){for(var _=Math.trunc(R/b),O=R%b,F=0,D=0;D<h.batchSize;++D)for(var M=S;M<T;++M)for(var L=N+M*p-y,z=C;z<A;++z){var P=E+z*f-g;F+=k.get(D,L,P,_)*I.get(D,M,z,R)}m.set(F,N,E,_,O)}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var ake={kernelName:v1,backendName:"cpu",kernelFunc:function(e){var 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t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=n,l=c.data.get(a.dataId).values,h=a.shape.length,p=c.data.get(i.dataId).values,f=i.shape.length,d=_8(a.shape,i.shape,o,s,"NHWC",u),v=d.batchSize,m=d.inHeight,g=d.inWidth,y=d.inChannels,b=d.outHeight,x=d.outWidth,k=d.padInfo,w=d.strideHeight,I=d.strideWidth,N=d.filterHeight,S=d.filterWidth,T=d.dilationHeight,E=d.dilationWidth,C=d.outShape,A=L$(C),R=C.length,_=K$(a.dtype,A),O=0;O<v;++O)for(var F=0;F<b;++F)for(var D=F*w-k.top,M=0;M<x;++M)for(var L=M*I-k.left,z=0;z<y;++z){for(var P=Number.MIN_SAFE_INTEGER,B=0;B<N;++B){var W=D+B*T;if(W>=0&&W<m)for(var U=0;U<S;++U){var V=L+U*E;if(V>=0&&V<g){var G=f0([O,W,V,z],h,i0(a.shape)),j=f0([B,U,z],f,i0(i.shape)),H=l[G]+p[j];H>P&&(P=H)}}}_[f0([O,F,M,z],R,i0(C))]=P}return{dataId:c.write(L4(_,a.dtype),C,a.dtype),shape:C,dtype:a.dtype}}},ske={kernelName:b1,backendName:"cpu",kernelFunc:function(e){var 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L=Number.MIN_SAFE_INTEGER,z=O<0?0:O,P=D<0?0:D,B=0;B<I;++B){var W=O+B*S;if(W>=0&&W<v)for(var U=0;U<N;++U){var V=D+U*T;if(V>=0&&V<m){var G=h[R][W][V][M]+p[B][U][M];G>L&&(L=G,z=W,P=V)}}}A[R][z][P][M]+=C[R][_][F][M]}return{dataId:l.write(L4(A,a.dtype),a.shape,a.dtype),shape:a.shape,dtype:a.dtype}}};var cke={kernelName:x1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=r.canvas,o=r.options||{},s=o.contextOptions,u=o.imageOptions,c=(null==u?void 0:u.alpha)||1,l=(null==s?void 0:s.contextType)||"2d";if("2d"!==l)throw new Error("Context type ".concat(s.contextType," is not supported by the CPU backend."));var h=i.getContext(l,(null==s?void 0:s.contextAttributes)||{});if(null==h)throw new Error("Could not get the context with ".concat(l," type."));for(var p=S(a.shape.slice(0,2),2),f=p[0],d=p[1],v=2===a.shape.length?1:a.shape[2],m=n.data.get(a.dataId).values,g="float32"===a.dtype?255:1,y=new Uint8ClampedArray(d*f*4),b=0;b<f*d;++b){for(var x=[0,0,0,255*c],k=0;k<v;k++){var w=m[b*v+k];if("float32"===a.dtype){if(w<0||w>1)throw new Error("Tensor values for a float32 Tensor must be in the "+"range [0 - 1] but encountered ".concat(w,"."))}else if("int32"===a.dtype&&(w<0||w>255))throw new Error("Tensor values for a int32 Tensor must be in the "+"range [0 - 255] but encountered ".concat(w,"."));1===v?(x[0]=w*g,x[1]=w*g,x[2]=w*g):x[k]=w*g}var I=4*b;y[I+0]=Math.round(x[0]),y[I+1]=Math.round(x[1]),y[I+2]=Math.round(x[2]),y[I+3]=Math.round(x[3])}i.width=d,i.height=f;var N=new ImageData(y,d,f);return h.putImageData(N,0,0),a}};function lke(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.axis,s=a.keepDims;sge(i,"sum");var u=(t="bool"===i.dtype?kge({inputs:{x:i},backend:r,attrs:{dtype:"int32"}}):mge({inputs:{x:i},backend:r})).shape.length,c=j$(o,t.shape),l=$7(c,u),h=c,p=t;null!=l&&(p=zye({inputs:{x:t},backend:r,attrs:{perm:l}}),h=t9(h.length,u)),Q7("sum",h,p.shape.length);for(var f=S(J7(p.shape,h),2),d=f[0],v=f[1],m=vge(r,d,h5(p.dtype,"int32")),g=L$(v),y=r.data.get(m.dataId).values,b=r.data.get(p.dataId).values,x=0;x<y.length;++x){for(var k=x*g,w=0,I=0;I<g;++I)w+=b[k+I];y[x]=w}if(s){var N=m;m=Jbe({inputs:{x:m},backend:r,attrs:{shape:Z7(m.shape,c)}}),r.disposeIntermediateTensorInfo(N)}return r.disposeIntermediateTensorInfo(t),null!=l&&r.disposeIntermediateTensorInfo(p),m}var hke={kernelName:a3,backendName:"cpu",kernelFunc:lke};var pke={kernelName:w1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t,a=Lie(e.attrs.equation,r.length),i=a.allDims,o=a.summedDims,s=a.idDims;Pie(i.length,s,r);for(var u=Bie(o,s),c=u.path,l=u.steps,h=l.length,p=null,f=i.length,d=[],v=0;v<h;++v){var m,g=O(l[v]);try{for(g.s();!(m=g.n()).done;){var y=m.value,b=zie(f,s[y]),x=b.permutationIndices,k=b.expandDims,w=void 0;Wie(x)?w=r[y]:(w=zye({inputs:{x:r[y]},backend:n,attrs:{perm:x}}),d.push(w));for(var I=w.shape.slice(),N=0;N<k.length;++N)I.splice(k[N],0,1);P$(w.shape,I)||(w=Jbe({inputs:{x:w},backend:n,attrs:{shape:I}}),d.push(w)),null===p?p=w:(p=Aye({inputs:{a:w,b:p},backend:n}),d.push(p))}}catch(e){g.e(e)}finally{g.f()}v<h-1&&(c[v]>=0&&(p=lke({inputs:{x:p},backend:n,attrs:{axis:c[v]-(i.length-f),keepDims:!1}}),d.push(p)),f--)}for(var S=0,T=d;S<T.length;S++){var E=T[S];E!==p&&n.disposeIntermediateTensorInfo(E)}return p}};var fke={kernelName:N1,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.dy,a=t.y;sge([r,a],"eluGrad");for(var i=new Float32Array(L$(a.shape)),o=n.data.get(a.dataId).values,s=n.data.get(r.dataId).values,u=0;u<o.length;++u){var c=o[u];i[u]=c>=0?s[u]:s[u]*(c+1)}return n.makeTensorInfo(a.shape,"float32",i)}},dke=Mge(S1,(function(e){var t=Math.sign(e),n=Math.abs(e),r=1/(1+.3275911*n);return t*(1-((((1.061405429*r-1.453152027)*r+1.421413741)*r-.284496736)*r+.254829592)*r*Math.exp(-n*n))})),vke={kernelName:S1,backendName:"cpu",kernelFunc:dke};function mke(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.input,i=r.dim,o=a.shape.length,s=a.shape.slice(),u=i;return i<0&&(F$(-(o+1)<=i,(function(){return"Axis must be in the interval [".concat(-(o+1),", ").concat(o,"]")})),u=o+i+1),s.splice(u,0,1),Jbe({inputs:{x:a},backend:n,attrs:{shape:s}})}var gke={kernelName:C1,backendName:"cpu",kernelFunc:mke},yke=pge((function(e,t){return e/t})),bke=Ige(k1,yke),xke={kernelName:k1,backendName:"cpu",kernelFunc:bke};function kke(e,t,n){for(var r=e.shape,a=r[0],i=r[1],o=n.data.get(e.dataId),s=o.complexTensorInfos.real,u=o.complexTensorInfos.imag,c=[a,i],l=L$(c),h=q$("float32",l),p=q$("float32",l),f=0;f<a;f++){for(var d=sbe({inputs:{x:s},backend:n,attrs:{begin:[f,0],size:[1,i]}}),v=sbe({inputs:{x:u},backend:n,attrs:{begin:[f,0],size:[1,i]}}),m=fge({inputs:{real:d,imag:v},backend:n}),g=wke(m,t,n),y=Tie(g.real,g.imag),b=0;b<i;b++){var x=Rie(y,b);h[f*i+b]=x.real,p[f*i+b]=x.imag}n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m)}var k=n.makeTensorInfo(c,"float32",h),w=n.makeTensorInfo(c,"float32",p),I=fge({inputs:{real:k,imag:w},backend:n});return n.disposeIntermediateTensorInfo(k),n.disposeIntermediateTensorInfo(w),I}function wke(e,t,n){var r=L$(e.shape),a=n.data.get(e.dataId),i=n.data.get(a.complexTensorInfos.real.dataId).values,o=n.data.get(a.complexTensorInfos.imag.dataId).values;if(0==((g=r)&g-1)){var s=Ike(i,o,r,t,n),u=[e.shape[0],e.shape[1]];if(t){var c=n.makeTensorInfo(u,"float32",s.real),l=n.makeTensorInfo(u,"float32",s.imag),h=n.makeTensorInfo([],"float32",M4(r,"float32")),p=mge({inputs:{x:h},backend:n}),f=xke.kernelFunc({inputs:{a:c,b:h},backend:n}),d=xke.kernelFunc({inputs:{a:l,b:p},backend:n}),v=n.data.get(f.dataId).values,m=n.data.get(d.dataId).values;return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),{real:v,imag:m}}return s}var g,y=function(e,t,n){for(var r=new Float32Array(2*t),a=0;a<t;a++){for(var i=0,o=0,s=0;s<t;s++){var u=Fie(a*s,t,n),c=Rie(e,s);i+=c.real*u.real-c.imag*u.imag,o+=c.real*u.imag+c.imag*u.real}n&&(i/=t,o/=t),_ie(r,i,o,a)}return r}(Tie(i,o),r,t);return Eie(y)}function Ike(e,t,n,r,a){if(1===n)return{real:e,imag:t};var i=Tie(e,t),o=n/2,s=Cie(i),u=s.real,c=s.imag,l=[u.length],h=a.makeTensorInfo(l,"float32",u),p=a.makeTensorInfo(l,"float32",c),f=fge({inputs:{real:h,imag:p},backend:a}),d=Aie(i),v=d.real,m=d.imag,g=[v.length],y=a.makeTensorInfo(g,"float32",v),b=a.makeTensorInfo(g,"float32",m),x=fge({inputs:{real:y,imag:b},backend:a}),k=Ike(u,c,o,r,a),w=k.real,I=k.imag,N=[w.length],S=a.makeTensorInfo(N,"float32",w),T=a.makeTensorInfo(N,"float32",I),E=fge({inputs:{real:S,imag:T},backend:a}),C=Ike(v,m,o,r,a),A=C.real,R=C.imag,_=[A.length],O=a.makeTensorInfo(_,"float32",A),F=a.makeTensorInfo(_,"float32",R),D=fge({inputs:{real:O,imag:F},backend:a}),M=Oie(n,r),L=[M.real.length],z=a.makeTensorInfo(L,"float32",M.real),P=a.makeTensorInfo(L,"float32",M.imag),B=fge({inputs:{real:z,imag:P},backend:a}),W=Aye({inputs:{a:B,b:D},backend:a}),U=Ege({inputs:{a:E,b:W},backend:a}),V=Abe({inputs:{a:E,b:W},backend:a}),G=yge({inputs:{input:U},backend:a}),j=yge({inputs:{input:V},backend:a}),H=Mxe({inputs:{input:U},backend:a}),q=Mxe({inputs:{input:V},backend:a}),K=zxe({inputs:[G,j],backend:a,attrs:{axis:0}}),X=zxe({inputs:[H,q],backend:a,attrs:{axis:0}}),Y=a.data.get(K.dataId).values,J=a.data.get(X.dataId).values;return 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t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.padToMaxOutputSize;sge(a,"NonMaxSuppressionPadded");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,p=mwe(l,h,o,s,u,c),f=p.selectedIndices,d=p.validOutputs;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}},ywe=Xne;var bwe={kernelName:w2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma;sge(a,"NonMaxSuppressionWithScore");var l=n.data.get(a.dataId).values,h=n.data.get(i.dataId).values,p=ywe(l,h,o,s,u,c),f=p.selectedIndices,d=p.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}};var xwe={kernelName:N2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.dtype,o=r.depth,s=r.onValue,u=r.offValue;sge(a,"oneHot");var c=L$(a.shape),l=new Float32Array(c*o);l.fill(u);for(var h=n.data.get(a.dataId).values,p=0;p<c;++p)h[p]>=0&&h[p]<o&&(l[p*o+h[p]]=s);return n.makeTensorInfo([].concat(T(a.shape),[o]),i,l)}};function kwe(e){var t=e.inputs,n=e.backend,r=t.x;if("string"===r.dtype)throw new Error("zerosLike is not supported for string tensors");if("complex64"===r.dtype){var a=yge({inputs:{input:r},backend:n}),i=kwe({inputs:{x:a},backend:n}),o=Mxe({inputs:{input:r},backend:n}),s=kwe({inputs:{x:o},backend:n}),u=fge({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return Ske({backend:n,attrs:{shape:r.shape,value:0,dtype:r.dtype}})}var wwe={kernelName:R3,backendName:"cpu",kernelFunc:kwe};var Iwe={kernelName:I2,backendName:"cpu",kernelFunc:function e(t){var 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t=e.inputs,n=e.backend,r=e.attrs,a=t.shape,i=t.values,o=t.defaultValue,s=t.rowPartitionTensors,u=r.rowPartitionTypes,c=n.data.get(a.dataId).values,l=n.data.get(i.dataId).values,h=n.data.get(o.dataId).values,p=s.map((function(e){return n.data.get(e.dataId).values})),f=s.map((function(e){return e.shape})),d=S(Zye(c,a.shape,l,i.shape,i.dtype,h,o.shape,p,f,u),2),v=d[0],m=d[1];return n.makeTensorInfo(v,i.dtype,m)}};var Fwe={kernelName:F2,backendName:"cpu",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.dtype,o=Qye(r,a,n.step,i);return t.makeTensorInfo([o.length],i,o)}},Dwe=Mge(M2,(function(e){return 1/e})),Mwe={kernelName:M2,backendName:"cpu",kernelFunc:Dwe};var Lwe={kernelName:W2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=r.size;sge(a,"resizeBilinear");for(var u=i0(a.shape),c=S(s,2),l=c[0],h=c[1],p=S(a.shape,4),f=p[0],d=p[1],v=p[2],m=p[3],g=n.data.get(a.dataId).values,y=new 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t=e.inputs,n=e.attrs,r=e.backend,a=t.image,i=n.radians,o=n.fillValue,s=n.center,u=r,c=q$(a.dtype,L$(a.shape)),l=S(a.shape,4),h=l[0],p=l[1],f=l[2],d=l[3],v=S(pie(s,p,f),2),m=v[0],g=v[1],y=Math.sin(i),b=Math.cos(i),x=u.data.get(a.dataId).values,k=0;k<h;k++)for(var w=k*f*p*d,I=0;I<p;I++)for(var N=I*(f*d),T=0;T<f;T++)for(var E=T*d,C=0;C<d;C++){var A=[h,I,T,C],R=A[2],_=A[1],O=(R-m)*b-(_-g)*y,F=(R-m)*y+(_-g)*b;O=Math.round(O+m),F=Math.round(F+g);var D=o;if("number"!=typeof o&&(D=3===C?255:o[C]),O>=0&&O<f&&F>=0&&F<p)D=x[w+F*(f*d)+O*d+C];c[w+N+E+C]=D}return{dataId:u.write(c,a.shape,a.dtype),shape:a.shape,dtype:a.dtype}}},Vwe=Mge(j2,(function(e){var t=Math.floor(e);return e-t<.5?Math.floor(e):e-t>.5?Math.ceil(e):t%2==0?t:t+1})),Gwe={kernelName:j2,backendName:"cpu",kernelFunc:Vwe};var jwe={kernelName:q2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=t.updates,o=r.shape,s=Jte(0,a,o),u=s.sliceRank,c=s.numUpdates,l=s.sliceSize,h=s.strides,p=s.outputSize,f=nbe(n.bufferSync(a),n.bufferSync(i),o,p,l,c,u,h,0,!0);return n.makeTensorInfo(o,f.dtype,f.values)}};function Hwe(e,t){for(var n=0,r=e.length,a=0;n<r;)e[a=Math.floor((n+r)/2)]<t?n=a+1:r=a;return r}function qwe(e,t){for(var n=0,r=e.length,a=0;n<r;)e[a=Math.floor((n+r)/2)]<=t?n=a+1:r=a;return r}var Kwe={kernelName:X2,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.sortedSequence,i=t.values,o=r.side,s=function(e,t,n,r,a,i){for(var o=K$("int32",n*a),s=0;s<n;++s)for(var u=e.slice(s*r,(s+1)*r),c=s*a,l=0;l<a;++l)o[c+l]="left"===i?Hwe(u,t[l+c]):qwe(u,t[l+c]);return o}(n.data.get(a.dataId).values,n.data.get(i.dataId).values,a.shape[0],a.shape[1],i.shape[1],o);return n.makeTensorInfo(i.shape,"int32",s)}};var Xwe={kernelName:Y2,backendName:"cpu",kernelFunc:function(e){var 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getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      int r = index / ").concat(e[1],";\n      int c = index - r * ").concat(e[1],";\n      return ivec2(r, c);\n    }\n  ")}(e,t,n);case 3:return function(e,t,n){if(n){var r=VNe(["r","c","d"],e);return"\n  ivec3 getOutputCoords() {\n    ivec2 resTexRC = ivec2(resultUV.yx *\n                           vec2(outTexShape[0], outTexShape[1]));\n    int index = resTexRC.x * outTexShape[1] + resTexRC.y;\n    ".concat(r,"\n    return ivec3(r, c, d);\n  }\n")}var a=UNe(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(a,"\n      return ivec3(r, c, d);\n    }\n  ")}(e,t,n);case 4:return 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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",$Ne="\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 eSe(e){return"offset".concat(e)}function tSe(e,t){var n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return"float ".concat(r,"() {return ").concat(n,";}");var a=S(e.shapeInfo.texShape,2),i=a[0],o=a[1];if(1===i&&1===o)return"\n      float ".concat(r,"() {\n        return 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float(").concat(n,"TexShape[0]));\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2(0.5, (float(index + ").concat(s,") + 0.5) / ").concat(i,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):1===i?t?"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / float(").concat(n,"TexShape[1]), 0.5);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):"\n      float ".concat(r,"(int index) {\n        vec2 uv = vec2((float(index + ").concat(s,") + 0.5) / ").concat(o,".0, 0.5);\n        return sampleTexture(").concat(n,", uv);\n      }\n    "):t?"\n    float ".concat(r,"(int index) {\n      vec2 uv = uvFromFlat(").concat(n,"TexShape[0], ").concat(n,"TexShape[1], index + ").concat(s,");\n      return sampleTexture(").concat(n,", uv);\n    }\n  "):"\n    float ".concat(r,"(int index) {\n      vec2 uv = uvFromFlat(").concat(i,", 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uv);\n      }\n    "):"\n    float ".concat(a,"(int row, int col) {\n      float index = dot(vec3(row, col, ").concat(v,"), vec3(").concat(n[1],", 1, 1));\n      vec2 uv = vec2((index + 0.5) / ").concat(d,".0, 0.5);\n      return sampleTexture(").concat(r,", uv);\n    }\n  "):t?"\n      float ".concat(a,"(int row, int col) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ").concat(r,"Shape[1] + col + ").concat(v,";\n        vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n  float ".concat(a,"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ").concat(n[1]," + col + ").concat(v,";\n    vec2 uv = uvFromFlat(").concat(f,", ").concat(d,", index);\n    return sampleTexture(").concat(r,", uv);\n  }\n")}function aSe(e,t){var 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float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(d,".0, ").concat(f,".0);\n      return sampleTexture(").concat(r,", uv);\n    }\n  ");var m=eSe(r);return t?"\n    float ".concat(a,"(int row, int col, int depth) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int stride0 = ").concat(r,"Shape[1] * ").concat(r,"Shape[2];\n      int stride1 = ").concat(r,"Shape[2];\n      int index = row * stride0 + col * stride1 + depth + ").concat(m,";\n      vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index);\n      return sampleTexture(").concat(r,", uv);\n    }\n    "):"\n      float ".concat(a,"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ").concat(i," + col * ").concat(o," + depth + ").concat(m,";\n        vec2 uv = uvFromFlat(").concat(f,", ").concat(d,", index);\n        return sampleTexture(").concat(r,", uv);\n     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depth2) {\n        ").concat(m,"\n        ").concat(g,"\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(stride1, stride2, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(").concat(o,", ").concat(i,", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(v,".0, ").concat(d,".0);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");if(v===i&&null==p)return t?"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(").concat(r,"Shape[1] * ").concat(r,"Shape[2], ").concat(r,"Shape[2], 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(r,"TexShape[1], ").concat(r,"TexShape[0]);\n        return sampleTexture(").concat(r,", uv);\n      }\n    "):"\n      float ".concat(a,"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(").concat(n[1]*n[2],", ").concat(n[2],", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(v,".0, ").concat(d,".0);\n        return sampleTexture(").concat(r,", uv);\n      }\n    ");var b=eSe(r);return t?"\n    float ".concat(a,"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      ").concat(m,"\n      ").concat(g,"\n      ").concat(y,"\n      int index = row * stride0 + col * stride1 +\n          depth * stride2 + depth2;\n      vec2 uv = uvFromFlat(").concat(r,"TexShape[0], ").concat(r,"TexShape[1], index + ").concat(b,");\n      return sampleTexture(").concat(r,", uv);\n    }\n  "):"\n    float ".concat(a,"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(s," + col * ").concat(o," +\n          depth * ").concat(i," + depth2;\n      vec2 uv = uvFromFlat(").concat(d,", ").concat(v,", index + ").concat(b,");\n      return sampleTexture(").concat(r,", uv);\n    }\n  ")}function oSe(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],i=t[3]*a,o=t[2]*i,s=t[1]*o,u=H$(t),c=u.newShape,l=u.keptDims;if(c.length<t.length){var h=fSe(e,c);return"\n      ".concat(XNe(h),"\n      float ").concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        return ").concat(r,"(").concat(dSe(["row","col","depth","depth2","depth3"],l),");\n      }\n    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n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",i=t.texShape,o=e.shapeInfo.texShape,s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!e.shapeInfo.isUniform&&s===u&&null==e.shapeInfo.flatOffset&&P$(o,i))return"\n      float ".concat(a,"() {\n        return sampleTexture(").concat(n,", resultUV);\n      }\n    ");var c,l=hSe(u),h=qNe(e.shapeInfo.logicalShape,t.logicalShape),p=u-s,f=["x","y","z","w","u","v"];c=0===s?"":u<2&&h.length>=1?"coords = 0;":h.map((function(e){return"coords.".concat(f[e+p]," = 0;")})).join("\n");var d="";return d=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords.".concat(f[t+p])})).join(", "),"\n    float ".concat(a,"() {\n      ").concat(l," coords = getOutputCoords();\n      ").concat(c,"\n      return get").concat(r,"(").concat(d,");\n    }\n  ")}function hSe(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw 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     int flatIndex, r, c, offset;\n          ivec3 localCoords;\n          vec2 uv;\n          vec4 values;\n\n          ").concat(a,"\n\n          ").concat(r.output," = ").concat(i,";\n        }\n    ")}));function CSe(e){var t=WNe();return ZIe(e,"".concat(t.version,"\n    precision highp float;\n    ").concat(t.attribute," vec3 clipSpacePos;\n    ").concat(t.attribute," vec2 uv;\n    ").concat(t.varyingVs," vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }"))}function ASe(e){return oNe(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function RSe(e){return sNe(e,new Uint16Array([0,1,2,2,1,3]))}function _Se(e,t,n,r,a,i){cNe(t,n);var o=uNe(e),s=e.TEXTURE_2D;return KIe(e,(function(){return e.bindTexture(s,o)})),KIe(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)})),KIe(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)})),KIe(e,(function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)})),KIe(e,(function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)})),1===k0().getNumber("WEBGL_VERSION")?KIe(e,(function(){return e.texImage2D(s,0,r,t,n,0,a,i,null)})):KIe(e,(function(){return e.texStorage2D(s,1,r,t,n)})),KIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)})),{texture:o,texShape:[n,t]}}function OSe(e){return e.internalFormatFloat}function FSe(e,t,n,r){var a=S(GIe(t,n),2);return _Se(e,a[0],a[1],OSe(r),r.textureFormatFloat,e.FLOAT)}function DSe(e){return e.internalFormatHalfFloat}function MSe(e,t,n,r){var a=S(GIe(t,n),2);return _Se(e,a[0],a[1],DSe(r),r.textureFormatFloat,r.textureTypeHalfFloat)}function LSe(e){return e.downloadTextureFormat}function zSe(e,t,n,r){var a=S(GIe(t,n),2);return _Se(e,a[0],a[1],LSe(r),e.RGBA,e.UNSIGNED_BYTE)}function PSe(e){return e.internalFormatPackedFloat}function BSe(e,t,n,r){var a=S(HIe(t,n),2);return _Se(e,a[0],a[1],PSe(r),e.RGBA,e.FLOAT)}function WSe(e){return e.internalFormatPackedHalfFloat}function USe(e,t,n,r){var a=S(HIe(t,n),2);return _Se(e,a[0],a[1],WSe(r),e.RGBA,r.textureTypeHalfFloat)}function VSe(e,t,n){return KIe(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),hNe(e,t,"clipSpacePos",n,3,20,0)&&hNe(e,t,"uv",n,2,20,12)}function GSe(e,t,n,r,a,i){var o,s,u;KIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),a instanceof Uint8Array?(o=new Uint8Array(n*r*4),s=e.UNSIGNED_BYTE,u=e.RGBA):(o=new Float32Array(n*r*4),s=e.FLOAT,u=i.internalFormatPackedFloat),o.set(a),2===k0().getNumber("WEBGL_VERSION")?KIe(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,r,e.RGBA,s,o)})):KIe(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,u,n,r,0,e.RGBA,s,o)})),KIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}function jSe(e,t,n){KIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),n.data instanceof Uint8Array?2===k0().getNumber("WEBGL_VERSION")?KIe(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)})):KIe(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)})):2===k0().getNumber("WEBGL_VERSION")?KIe(e,(function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)})):KIe(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)})),KIe(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}function HSe(e,t,n,r){var a=e.createBuffer();KIe(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,a)}));var i=16*t*n;return KIe(e,(function(){return e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)})),KIe(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)})),KIe(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,null)})),a}function qSe(e,t,n){var r=e,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}function KSe(e,t,n,r){var a=S(GIe(t,n),2),i=a[0],o=a[1],s=new Uint8Array(t*n*4);return KIe(e,(function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)})),new Float32Array(s.buffer)}function XSe(e,t,n,r,a,i,o,s){var u=e,c=new Float32Array(function(e,t){var n=S(HIe(e,t),2);return n[0]*n[1]*4}(i,o));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function YSe(e,t,n){var r=new Float32Array(t*n*4);return KIe(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)})),r}var JSe={__proto__:null,bindVertexProgramAttributeStreams:VSe,createBufferFromOutputTexture:HSe,createFloat16MatrixTexture:MSe,createFloat16PackedMatrixTexture:USe,createFloat32MatrixTexture:FSe,createIndexBuffer:RSe,createPackedMatrixTexture:BSe,createUnsignedBytesMatrixTexture:zSe,createVertexBuffer:ASe,createVertexShader:CSe,downloadByteEncodedFloatMatrixFromOutputTexture:KSe,downloadFloat32MatrixFromBuffer:qSe,downloadMatrixFromPackedOutputTexture:YSe,downloadPackedMatrixFromBuffer:XSe,getInternalFormatForFloat16MatrixTexture:DSe,getInternalFormatForFloat16PackedMatrixTexture:WSe,getInternalFormatForFloat32MatrixTexture:OSe,getInternalFormatForPackedMatrixTexture:PSe,getInternalFormatForUnsignedBytesMatrixTexture:LSe,uploadDenseMatrixToTexture:GSe,uploadPixelDataToTexture:jSe},ZSe=function(){function e(t){l(this,e),this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];var n=k0().getNumber("WEBGL_VERSION");if(null!=t?(this.gl=t,UIe(n,t)):this.gl=VIe(n),t=this.gl,2===k0().getNumber("WEBGL_VERSION")){var r=t;this.createVertexArray=function(){return KIe(r,(function(){return r.createVertexArray()}))},this.bindVertexArray=function(e){return KIe(r,(function(){return r.bindVertexArray(e)}))},this.deleteVertexArray=function(e){return KIe(r,(function(){return r.deleteVertexArray(e)}))},this.getVertexArray=function(){return KIe(r,(function(){return r.getParameter(r.VERTEX_ARRAY_BINDING)}))}}else if(null!=t){var a=t.getExtension("OES_vertex_array_object");if(null==a)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=function(){return KIe(t,(function(){return a.createVertexArrayOES()}))},this.bindVertexArray=function(e){return KIe(t,(function(){return a.bindVertexArrayOES(e)}))},this.deleteVertexArray=function(e){return KIe(t,(function(){return a.deleteVertexArrayOES(e)}))},this.getVertexArray=function(){return KIe(t,(function(){return t.getParameter(a.VERTEX_ARRAY_BINDING_OES)}))}}var i="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),1===k0().getNumber("WEBGL_VERSION")){var s="OES_texture_half_float";if(this.textureFloatExtension=JIe(this.gl,"OES_texture_float"),_Ne(this.gl,s))this.textureHalfFloatExtension=JIe(this.gl,s);else if(k0().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(i),_Ne(this.gl,o))this.colorBufferHalfFloatExtension=JIe(this.gl,o);else if(k0().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(i="EXT_color_buffer_float",_Ne(this.gl,i))this.colorBufferFloatExtension=this.gl.getExtension(i);else{if(!_Ne(this.gl,o))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(o)}this.vertexBuffer=ASe(this.gl),this.indexBuffer=RSe(this.gl),this.framebuffer=lNe(this.gl),this.textureConfig=qIe(this.gl,this.textureHalfFloatExtension)}var t;return p(e,[{key:"debug",get:function(){return k0().getBool("DEBUG")}},{key:"dispose",value:function(){var e=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;KIe(t,(function(){return t.finish()})),KIe(t,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),KIe(t,(function(){return t.deleteFramebuffer(e.framebuffer)})),KIe(t,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),KIe(t,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),KIe(t,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}}},{key:"createFloat32MatrixTexture",value:function(e,t){return this.throwIfDisposed(),FSe(this.gl,e,t,this.textureConfig)}},{key:"createFloat16MatrixTexture",value:function(e,t){return this.throwIfDisposed(),MSe(this.gl,e,t,this.textureConfig)}},{key:"createUnsignedBytesMatrixTexture",value:function(e,t){return this.throwIfDisposed(),zSe(this.gl,e,t,this.textureConfig)}},{key:"uploadPixelDataToTexture",value:function(e,t){this.throwIfDisposed(),jSe(this.gl,e,t)}},{key:"uploadDenseMatrixToTexture",value:function(e,t,n,r){this.throwIfDisposed(),GSe(this.gl,e,t,n,r,this.textureConfig)}},{key:"createFloat16PackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),USe(this.gl,e,t,this.textureConfig)}},{key:"createPackedMatrixTexture",value:function(e,t){return this.throwIfDisposed(),BSe(this.gl,e,t,this.textureConfig)}},{key:"deleteMatrixTexture",value:function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(gNe(this.gl,this.framebuffer),this.outputTexture=null),KIe(this.gl,(function(){return t.gl.deleteTexture(e)}))}},{key:"downloadByteEncodedFloatMatrixFromOutputTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return KSe(r.gl,t,n,r.textureConfig)}))}},{key:"downloadPackedMatrixFromBuffer",value:function(e,t,n,r,a,i){return XSe(this.gl,e,0,0,0,a,i,this.textureConfig)}},{key:"downloadFloat32MatrixFromBuffer",value:function(e,t){return qSe(this.gl,e,t)}},{key:"createBufferFromTexture",value:function(e,t,n){this.bindTextureToFrameBuffer(e);var r=HSe(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r}},{key:"createAndWaitForFence",value:function(){var e=this.createFence(this.gl);return this.pollFence(e)}},{key:"createFence",value:function(e){var t,n,r=this;if(k0().getBool("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}}},{key:"downloadMatrixFromPackedTexture",value:function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return YSe(r.gl,t,n)}))}},{key:"createProgram",value:function(e){var t=this;this.throwIfDisposed();var n=this.gl;null==this.vertexShader&&(this.vertexShader=CSe(n));var r=rNe(n);KIe(n,(function(){return n.attachShader(r,t.vertexShader)})),KIe(n,(function(){return n.attachShader(r,e)})),aNe(n,r);var a=Object.assign(r,{vao:this.createVertexArray()});return this.debug&&iNe(n,a),a}},{key:"buildVao",value:function(e){var t=this;this.setProgram(e),this.bindVertexArray(e.vao);var n=this.gl;KIe(n,(function(){return n.bindBuffer(n.ELEMENT_ARRAY_BUFFER,t.indexBuffer)})),VSe(n,e,this.vertexBuffer)}},{key:"deleteProgram",value:function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&(KIe(this.gl,(function(){return t.gl.deleteProgram(e)})),this.deleteVertexArray(e.vao))}},{key:"setProgram",value:function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&iNe(this.gl,this.program),KIe(this.gl,(function(){return t.gl.useProgram(e)}))}},{key:"getUniformLocation",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];return this.throwIfDisposed(),n?fNe(this.gl,e,t):dNe(this.gl,e,t)}},{key:"getAttributeLocation",value:function(e,t){var n=this;return this.throwIfDisposed(),KIe(this.gl,(function(){return n.gl.getAttribLocation(e,t)}))}},{key:"getUniformLocationNoThrow",value:function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}},{key:"setInputMatrixTexture",value:function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),vNe(this.gl,e,t,n)}},{key:"setOutputMatrixTexture",value:function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}},{key:"setOutputPackedMatrixTexture",value:function(e,t,n){this.throwIfDisposed();var r=S(HIe(t,n),2),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)}},{key:"setOutputMatrixWriteRegion",value:function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)}},{key:"setOutputPackedMatrixWriteRegion",value:function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}},{key:"debugValidate",value:function(){null!=this.program&&iNe(this.gl,this.program),yNe(this.gl)}},{key:"executeProgram",value:function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;if(this.debug){var t=this.getVertexArray();console.assert(t===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}KIe(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))}},{key:"blockUntilAllProgramsCompleted",value:function(){var e=this;this.throwIfDisposed(),KIe(this.gl,(function(){return e.gl.finish()}))}},{key:"getQueryTimerExtension",value:function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=JIe(this.gl,2===k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}},{key:"getQueryTimerExtensionWebGL2",value:function(){return this.getQueryTimerExtension()}},{key:"getQueryTimerExtensionWebGL1",value:function(){return this.getQueryTimerExtension()}},{key:"beginQuery",value:function(){if(2===k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a}},{key:"endQuery",value:function(){if(2!==k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}}},{key:"waitForQueryAndGetTime",value:(t=c(o().mark((function e(t){var n=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,V$((function(){return n.disposed||n.isQueryAvailable(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getQueryTime",value:function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6}},{key:"isQueryAvailable",value:function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}var i=this.getQueryTimerExtensionWebGL1(),o=i.getQueryObjectEXT(e,i.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),o&&!this.disjoint}},{key:"pollFence",value:function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))}},{key:"pollItems",value:function(){for(var e=function(e){for(var t=0;t<e.length;++t){if(!e[t]())break}return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)}},{key:"addItemToPoll",value:function(e,t){var n=this;if(this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),!(this.itemsToPoll.length>1)){var r=void 0;"setTimeoutCustom"in k0().platform&&(r=k0().platform.setTimeoutCustom.bind(k0().platform)),V$((function(){return n.pollItems(),0===n.itemsToPoll.length}),(function(){return 0}),null,r)}}},{key:"bindTextureToFrameBuffer",value:function(e){this.throwIfDisposed(),mNe(this.gl,e,this.framebuffer),this.debug&&yNe(this.gl)}},{key:"unbindTextureToFrameBuffer",value:function(){null!=this.outputTexture?(mNe(this.gl,this.outputTexture,this.framebuffer),this.debug&&yNe(this.gl)):gNe(this.gl,this.framebuffer)}},{key:"downloadMatrixDriver",value:function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n}},{key:"setOutputMatrixTextureDriver",value:function(e,t,n){this.throwIfDisposed();var r=this.gl;mNe(r,e,this.framebuffer),this.debug&&yNe(r),this.outputTexture=e,KIe(r,(function(){return r.viewport(0,0,t,n)})),KIe(r,(function(){return r.scissor(0,0,t,n)}))}},{key:"setOutputMatrixWriteRegionDriver",value:function(e,t,n,r){var a=this;this.throwIfDisposed(),KIe(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))}},{key:"throwIfDisposed",value:function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}},{key:"throwIfNoProgram",value:function(){if(null==this.program)throw new Error("No GPU program is currently set.")}}]),e}();var QSe=Sge,$Se=Age,eTe=Rge,tTe=_ge,nTe=xge,rTe=zge,aTe=Wge,iTe=Uge,oTe=jge,sTe=Kge,uTe=Jge,cTe=nye,lTe=rye,hTe=aye,pTe=sye,fTe=lye,dTe=fye,vTe=mye,mTe=gye,gTe=xye,yTe=kye,bTe=Nye,xTe=Eye,kTe=_ye,wTe=Fye,ITe=Bye,NTe=jye,STe=qye,TTe=Zye,ETe=Qye,CTe=$ye,ATe=nbe,RTe=rbe,_Te=lge,OTe=obe,FTe=cbe,DTe=lbe,MTe=hbe,LTe=pbe,zTe=ybe,PTe=kbe,BTe=Ibe,WTe=Sbe,UTe=Tbe,VTe=Ebe,GTe=_be,jTe=Dbe,HTe=Lye,qTe=Mbe;function KTe(e,t){return["x","y","z","w","u","v"].slice(0,t).map((function(t){return"".concat(e,".").concat(t)}))}function XTe(e,t){return 1===t?[e]:KTe(e,t)}var YTe=function(){function e(t){if(l(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.enableShapeUniforms=xSe(this.outputShape.length),0===this.rank)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=XTe("rc",this.rank),r=hSe(this.rank),a=this.getOutOfBoundsCondition(n),i=this.getSetup(n),o=this.getOutput(n);this.userCode="\n        void main() {\n          ".concat(r," rc = getOutputCoords();\n\n          if(").concat(a,") {\n            setOutput(vec4(0));\n          } else {\n            ").concat(i,"\n\n            setOutput(vec4(").concat(o,"));\n          }\n        }\n      ")}}return p(e,[{key:"getSourceCoordsArr",value:function(e){for(var t=[],n=0;n<=1;n++)for(var r=0;r<=1;r++){for(var a="".concat(0===n?"r":"rp1",", ").concat(0===r?"c":"cp1"),i=2;i<this.rank;i++)a="".concat(e[e.length-1-i],",")+a;t.push(a)}return t}},{key:"getOutOfBoundsCondition",value:function(e){if(1===this.rank)return"rc > ".concat(this.enableShapeUniforms?"outShape":this.outputShape[0]);for(var t="",n=this.rank-2;n<this.rank;n++)t+="".concat(e[n]," >= ").concat(this.enableShapeUniforms?"outShape[".concat(n,"]"):this.outputShape[n]),n<this.rank-1&&(t+="||");return t}},{key:"getSetup",value:function(e){if(1===this.rank)return"";var t=e.slice(-2),n=this.enableShapeUniforms?"outShape[".concat(this.rank," - 1]"):this.outputShape[this.rank-1],r=this.enableShapeUniforms?"outShape[".concat(this.rank," - 2]"):this.outputShape[this.rank-2];return"\n      int r = ".concat(t[0],";\n      int c = ").concat(t[1],";\n      int rp1 = r + 1;\n      int cp1 = c + 1;\n\n      bool cEdge = cp1 >= ").concat(n,";\n      bool rEdge = rp1 >= ").concat(r,";\n    ")}},{key:"getOutput",value:function(e){var t=this.getSourceCoordsArr(e);if(1===this.rank){var n=this.enableShapeUniforms?"outShape":this.outputShape[0];return"getA(rc), (rc + 1 >= ".concat(n," ? 0. : getA(rc + 1)), 0, 0")}return"getA(".concat(t[0],"),\n            cEdge ? 0. : getA(").concat(t[1],"),\n            rEdge ? 0. : getA(").concat(t[2],"),\n            rEdge || cEdge ? 0. : getA(").concat(t[3],")")}}]),e}(),JTe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=xSe(this.outputShape.length);for(var r,a,i,o="",s=0;s<4;s++){var u="thisRC = rc;";s%2==1&&(u+="thisRC.z += 1;"),s>1&&(u+="thisRC.y += 1;"),o+="\n        ".concat(u,"\n        ").concat(s>0?"if(thisRC.y < rows && thisRC.z < cols){":"","\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[").concat(s,"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ").concat(s>0?"}":"","\n      ")}this.userCode="\n      ".concat((r=n,a=this.enableShapeUniforms,i=a?function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"index",r=e.map((function(e,t){return t})),a=GNe(r,t);return a.map((function(t,r){var i="int ".concat(e[r]," = ").concat(n," / ").concat(a[r]),o=r===a.length-1?"int ".concat(e[r+1]," = ").concat(n," - ").concat(e[r]," * ").concat(a[r]):"index -= ".concat(e[r]," * ").concat(a[r]);return"".concat(i,"; ").concat(o,";")})).join("")}(["r","c","d"],"inputShape"):UNe(["r","c","d"],r),"\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ".concat(i,"\n      return ivec3(r, c, d);\n    }\n  ")),"\n      ").concat(this.enableShapeUniforms?"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;\n  }\n":jNe(t),"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ").concat(this.enableShapeUniforms?"outShape[1]":t[1],";\n        int cols = ").concat(this.enableShapeUniforms?"outShape[2]":t[2],";\n\n        ").concat(o,"\n\n        setOutput(result);\n      }\n    ")}));var ZTe=function(){function e(t){l(this,e),this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}return p(e,[{key:"acquireTexture",value:function(e,t,n){var r=$Te(t,n),a=eEe(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=QTe(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var s=this.freeTextures[a].pop();return this.usedTextures[a].push(s),s}return r===PIe.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===PIe.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===PIe.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===PIe.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===PIe.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=o,this.log(),i}},{key:"releaseTexture",value:function(e,t,n,r){if(null!=this.freeTextures){var a=$Te(n,r),i=eEe(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=QTe(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=k0().getNumber("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==s&&this._numBytesAllocated>s?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=o):(this.freeTextures[i].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[i],c=u&&u.indexOf(e);if(null==c||c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u[c]=u[u.length-1],u.pop(),this.log()}}},{key:"log",value:function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used","".concat(this.numFreeTextures," / ").concat(this.numUsedTextures),"(".concat(e,")"));var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: ".concat(this._numBytesAllocated)),console.log("Bytes unused: ".concat(this._numBytesFree," (").concat(Math.round(100*t),"%)"))}}},{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}},{key:"getNumUsedTextures",value:function(){return this.numUsedTextures}},{key:"getNumFreeTextures",value:function(){return this.numFreeTextures}},{key:"dispose",value:function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));for(var n in this.usedTextures)this.usedTextures[n].forEach((function(t){e.gpgpu.deleteMatrixTexture(t.texture)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}]),e}();function QTe(e,t,n,r,a){var i,o=function(e,t){switch(e){case PIe.PACKED_2X2_FLOAT32:return PSe(t);case PIe.PACKED_2X2_FLOAT16:return WSe(t);case PIe.UNPACKED_FLOAT32:return OSe(t);case PIe.UNPACKED_FLOAT16:return DSe(t);case PIe.PACKED_4X1_UNSIGNED_BYTE:return LSe(t);default:throw new Error("Unknown physical texture type ".concat(e))}}(t,r);if(a){var s=S(HIe(e[0],e[1]),2);i=s[0]*s[1]}else{var u=S(GIe(e[0],e[1]),2);i=u[0]*u[1]}var c=function(e,t){var n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error("Unknown internal format ".concat(t))}(n,o);return i*c}function $Te(e,t){if(e===zIe.UPLOAD)return PIe.PACKED_2X2_FLOAT32;if(e===zIe.RENDER||null==e)return function(e){return k0().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?PIe.PACKED_2X2_FLOAT32:PIe.UNPACKED_FLOAT32:e?PIe.PACKED_2X2_FLOAT16:PIe.UNPACKED_FLOAT16}(t);if(e===zIe.DOWNLOAD||e===zIe.PIXELS)return PIe.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type ".concat(e))}function eEe(e,t,n){return"".concat(e[0],"_").concat(e[1],"_").concat(t,"_").concat(n)}var tEe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=xSe(this.outputShape.length),this.userCode="\n      float unaryOperation(float x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),nEe="if (isnan(x)) return x;",rEe="return x;",aEe="return abs(x);";var iEe="return (x >= 0.0) ? x : (exp(x) - 1.0);",oEe=nEe+"\n  return (x < 0.0) ? 0.0 : x;\n",sEe=nEe+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",uEe="return x;",cEe="return 1.0 / (1.0 + exp(-1.0 * x));",lEe="return x;",hEe="\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",pEe="\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",fEe="\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",dEe="return 1.0 / (1.0 + exp(-1.0 * x));",vEe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=xSe(this.outputShape.length),this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")})),mEe=p((function e(t){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=xSe(this.outputShape.length);var n=t.length,r=XTe("rc",n),a=hSe(n),i=function(e,t){if(1===e)return"rc";for(var n="",r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}(n,r),o=r.slice(-2),s=n<=1?"rc":"vec2(".concat(o.join(","),")");this.userCode="\n      void main() {\n        ".concat(a," rc = getOutputCoords();\n        vec4 packedInput = getA(").concat(i,");\n\n        setOutput(getChannel(packedInput, ").concat(s,"));\n      }\n    ")})),gEe=one,yEe={};var bEe=k0().getNumber("CPU_HANDOFF_SIZE_THRESHOLD");var xEe=function(e){d(s,e);var t,n,r,a,i=w(s);function s(e){var t,n,r;if(l(this,s),(t=i.call(this)).pendingRead=new WeakMap,t.pendingDisposal=new WeakSet,t.dataRefCount=new WeakMap,t.numBytesInGPU=0,t.uploadWaitMs=0,t.downloadWaitMs=0,t.lastGlFlushTime=0,t.warnedAboutMemory=!1,t.pendingDeletes=0,t.disposed=!1,!k0().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null!=e){if(e instanceof ZSe)n=e;else{var a=VIe(k0().getNumber("WEBGL_VERSION"),e);n=new ZSe(a)}t.binaryCache={},t.gpgpuCreatedLocally=!1}else{var o=VIe(k0().getNumber("WEBGL_VERSION"));n=new ZSe(o),t.binaryCache=((r=k0().getNumber("WEBGL_VERSION"))in yEe||(yEe[r]={}),yEe[r]),t.gpgpuCreatedLocally=!0}return t.gpgpu=n,t.canvas=t.gpgpu.gl.canvas,t.textureManager=new ZTe(t.gpgpu),t.numMBBeforeWarning=null==k0().global.screen?1024:k0().global.screen.height*k0().global.screen.width*window.devicePixelRatio*600/1024/1024,t.texData=new S$(x(t),q5()),t}return p(s,[{key:"nextDataId",value:function(){return s.nextDataId++}},{key:"numDataIds",value:function(){return this.texData.numDataIds()-this.pendingDeletes}},{key:"writeTexture",value:function(e,t,n,r,a,i){var o=this.makeTensorInfo(t,n),s=this.texData.get(o.dataId);s.isPacked=!1,s.texture={texture:e,texShape:[r,a]},s.texShape=[r,a];var u=NNe(t),c=new TSe(u,!1,i),l=this.runWebGLProgram(c,[o],n,[[r,a]]);return l.shape=t,s.texture=null,this.disposeIntermediateTensorInfo(o),l.dataId}},{key:"write",value:function(e,t,n){if((k0().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||k0().getBool("DEBUG"))&&this.checkNumericalProblems(e),"complex64"===n&&null!=e)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={id:this.nextDataId()};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:zIe.UPLOAD,refCount:1}),r}},{key:"refCount",value:function(e){return this.texData.has(e)?this.texData.get(e).refCount:0}},{key:"incRef",value:function(e){this.texData.get(e).refCount++}},{key:"decRef",value:function(e){this.texData.has(e)&&this.texData.get(e).refCount--}},{key:"move",value:function(e,t,n,r,a){if(k0().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:zIe.UPLOAD,refCount:a})}},{key:"disposeIntermediateTensorInfo",value:function(e){this.disposeData(e.dataId)}},{key:"readSync",value:function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,a=t.complexTensorInfos,i=t.slice,o=t.shape,s=t.isPacked;if(null!=i){var u;u=s?new vEe(o,uEe):new tEe(o,uEe);var c=this.runWebGLProgram(u,[{dataId:e,shape:o,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),l}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var h,p,f=null!=this.activeTimers;(f&&(h=z4()),"complex64"===r)?p=Tie(this.readSync(a.real.dataId),this.readSync(a.imag.dataId)):p=this.getValuesFromTexture(e);return f&&(this.downloadWaitMs+=z4()-h),this.convertAndCacheOnCPU(e,p)}},{key:"read",value:(a=c(o().mark((function e(t){var n,r,a,i,s,u,c,l,h,p,f,d,v,m,g,y,b,x,k,w,I,N,S;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.pendingRead.has(t)){e.next=3;break}return n=this.pendingRead.get(t),e.abrupt("return",new Promise((function(e){return n.push(e)})));case 3:if(r=this.texData.get(t),a=r.values,i=r.shape,s=r.slice,u=r.dtype,c=r.complexTensorInfos,l=r.isPacked,null==s){e.next=11;break}return h=l?new vEe(i,uEe):new tEe(i,uEe),p=this.runWebGLProgram(h,[{dataId:t,shape:i,dtype:u}],u),f=this.read(p.dataId),this.disposeIntermediateTensorInfo(p),e.abrupt("return",f);case 11:if(null==a){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(!k0().getBool("DEBUG")){e.next=16;break}if(k0().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==k0().getNumber("WEBGL_VERSION")){e.next=16;break}throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");case 16:if(d=null,"complex64"!==u&&k0().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),g=this.texData.get(v.dataId),d=(m=this.gpgpu).createBufferFromTexture.apply(m,[g.texture.texture].concat(T(jIe(i))))),this.pendingRead.set(t,[]),"complex64"===u){e.next=22;break}return e.next=22,this.gpgpu.createAndWaitForFence();case 22:if("complex64"!==u){e.next=31;break}return e.next=25,Promise.all([this.read(c.real.dataId),this.read(c.imag.dataId)]);case 25:b=e.sent,x=b[0],k=b[1],y=Tie(x,k),e.next=32;break;case 31:null==d?y=this.getValuesFromTexture(t):(w=L$(i),y=this.gpgpu.downloadFloat32MatrixFromBuffer(d,w));case 32:return null!=v&&this.disposeIntermediateTensorInfo(v),null!=d&&KIe(I=this.gpgpu.gl,(function(){return I.deleteBuffer(d)})),N=this.convertAndCacheOnCPU(t,y),S=this.pendingRead.get(t),this.pendingRead.delete(t),S.forEach((function(e){return e(N)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&q5().removeDataId(t,this),this.pendingDeletes--),e.abrupt("return",N);case 40:case"end":return e.stop()}}),e,this)}))),function(e){return a.apply(this,arguments)})},{key:"readToGPU",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=this.texData.get(e),r=n.values,a=n.shape,i=n.slice,o=n.dtype,s=n.isPacked,u=n.texture;if("complex64"===o)throw new Error("Does not support reading texture for complex64 dtype.");if(null!=i){var c;c=s?new vEe(a,uEe):new tEe(a,uEe);var l=this.runWebGLProgram(c,[{dataId:e,shape:a,dtype:o}],o),h=this.readToGPU(l,t);return this.disposeIntermediateTensorInfo(l),h}if(null==u)throw null!=r?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");var p=this.decode(e,t.customTexShape),f=q5().makeTensorFromTensorInfo(p),d=this.texData.get(p.dataId);return Object.assign({tensorRef:f},d.texture)}},{key:"bufferSync",value:function(e){var t=this.readSync(e.dataId);if("string"===e.dtype)try{var n=t.map((function(e){return W4(e)}));return l8(e.shape,e.dtype,n)}catch(e){throw new Error("Failed to decode encoded string bytes into utf-8")}return l8(e.shape,e.dtype,t)}},{key:"checkNumericalProblems",value:function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!XIe(n)){if(k0().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value ".concat(n," cannot be represented with your ")+"current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value ".concat(n," cannot be represented on this device."))}}}},{key:"getValuesFromTexture",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.isPacked,i=L$(n);if(k0().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var o,s=this.decode(e),u=this.texData.get(s.dataId),c=(o=this.gpgpu).downloadMatrixFromPackedTexture.apply(o,[u.texture.texture].concat(T(jIe(n)))).subarray(0,i);return this.disposeIntermediateTensorInfo(s),c}var l=k0().getBool("WEBGL_PACK")&&!0===a,h=l?NNe(n):n,p=l?new NSe(h):new ISe(h),f=this.runWebGLProgram(p,[{shape:h,dtype:r,dataId:e}],"float32"),d=this.texData.get(f.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(d.texture.texture,d.texShape[0],d.texShape[1]).subarray(0,i);return this.disposeIntermediateTensorInfo(f),v}},{key:"timerAvailable",value:function(){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0}},{key:"time",value:function(e){var t=this,n=this.activeTimers,r=[],a=!1;null==this.programTimersStack?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e();var i=V4(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),s=V4(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e}));this.activeTimers=n,a&&(this.programTimersStack=null);var u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return c(o().mark((function e(){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=8;break}return e.next=3,Promise.all(i);case 3:n=e.sent,u.kernelMs=O$(n),u.getExtraProfileInfo=function(){return n.map((function(e,t){return{name:s[t],ms:e}})).map((function(e){return"".concat(e.name,": ").concat(e.ms)})).join(", ")},e.next=9;break;case 8:u.kernelMs={error:"WebGL query timers are not supported in this environment."};case 9:return t.uploadWaitMs=0,t.downloadWaitMs=0,e.abrupt("return",u);case 12:case"end":return e.stop()}}),e)})))()}},{key:"memory",value:function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}},{key:"startTimer",value:function(){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:z4(),endMs:null}}},{key:"endTimer",value:function(e){return k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=z4(),e)}},{key:"getQueryTime",value:(r=c(o().mark((function e(t){var n;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(k0().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=2;break}return e.abrupt("return",this.gpgpu.waitForQueryAndGetTime(t));case 2:return n=t,e.abrupt("return",n.endMs-n.startMs);case 4:case"end":return e.stop()}}),e,this)}))),function(e){return r.apply(this,arguments)})},{key:"disposeData",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);var n=this.texData.get(e),r=n.complexTensorInfos;return null!=r&&(this.disposeData(r.real.dataId,t),this.disposeData(r.imag.dataId,t)),this.texData.delete(e),!0}},{key:"releaseGPUData",value:function(e){var t=this.texData.get(e),n=t.texture,r=t.dtype,a=t.texShape,i=t.usage,o=t.isPacked,s=t.slice,u=s&&s.origDataId||e,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var l=this.texData.get(e);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null}},{key:"getTexture",value:function(e){return this.uploadToGPU(e),this.texData.get(e).texture.texture}},{key:"getDataInfo",value:function(e){return this.texData.get(e)}},{key:"shouldExecuteOnCPU",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:bEe;return k0().getBool("WEBGL_CPU_FORWARD")&&e.every((function(e){return null==t.texData.get(e.dataId).texture&&L$(e.shape)<n}))}},{key:"getGPGPUContext",value:function(){return this.gpgpu}},{key:"where",value:function(e){z3("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return gEe(e.shape,t)}},{key:"packedUnaryOp",value:function(e,t,n){var r=new vEe(e.shape,t),a=this.compileAndRun(r,[e],n);return q5().makeTensorFromTensorInfo(a)}},{key:"abs",value:function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=_Te(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(k0().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,aEe,e.dtype);var n=new tEe(e.shape,aEe),r=this.compileAndRun(n,[e]);return q5().makeTensorFromTensorInfo(r)}},{key:"makeTensorInfo",value:function(e,t,n){var r;if("string"===t&&null!=n&&n.length>0&&$$(n[0])){var a=n.map((function(e){return B4(e)}));r=this.write(a,e,t)}else r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}}},{key:"makeOutput",value:function(e,t,n){return q5().makeTensorFromTensorInfo(this.makeTensorInfo(e,t,n),this)}},{key:"unpackTensor",value:function(e){var t=new mEe(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}},{key:"packTensor",value:function(e){var t=new YTe(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}},{key:"packedReshape",value:function(e,t){var n=[wNe(e.shape)].concat(T(INe(e.shape))),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[wNe(t)].concat(T(INe(t))),i=new JTe(a,n),o=[n],s=this.runWebGLProgram(i,[r],e.dtype,o,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}}},{key:"decode",value:function(e,t){var n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype;null!=t&&F$(L$(a)<=t[0]*t[1]*4,(function(){return"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data."}));var o,s=NNe(a);o=r?new wSe(s):new kSe(s);var u=[null!=t?t:jIe(s)];return{dtype:i,shape:a,dataId:this.runWebGLProgram(o,[{shape:s,dtype:i,dataId:e}],i,u,!0,t).dataId}}},{key:"runWebGLProgram",value:function(e,t,n,r){var a=this,i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5?arguments[5]:void 0,s=this.makeTensorInfo(e.outputShape,n),u=this.texData.get(s.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===LIe.DENSE){var c=null!=o?o:jIe(e.outputShape);u.texShape=c.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(u.usage=e.outTexUsage),0===L$(s.shape))return u.values=q$(s.dtype,0),s;var l=[],h=t.map((function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=a.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&L$(t.shape)<=k0().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:n.values};e.packedInputs&&(n.isPacked=!0,n.shape=t.shape)}if(a.uploadToGPU(t.dataId),!!n.isPacked!=!!e.packedInputs)t=n.isPacked?a.unpackTensor(t):a.packTensor(t),l.push(t),n=a.texData.get(t.dataId);else if(n.isPacked&&!ENe(n.shape,t.shape)){var r=t,i=t.shape;t.shape=n.shape,t=a.packedReshape(t,i),l.push(t),n=a.texData.get(t.dataId),r.shape=i}return{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var p,f={shape:s.shape,texData:u,isUniform:!1},d=bSe(e,h,f),v=this.getAndSaveBinary(d,(function(){return vSe(a.gpgpu,e,h,f)})),m=null!=this.activeTimers;m&&(p=this.startTimer()),k0().get("ENGINE_COMPILE_ONLY")||ySe(this.gpgpu,v,h,f,r),l.forEach((function(e){return a.disposeIntermediateTensorInfo(e)})),m&&(p=this.endTimer(p),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(p)}));var g=k0().getNumber("WEBGL_FLUSH_THRESHOLD");if(g>0){var y=z4();y-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=y)}if(!k0().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&!1===i){var b=this.unpackTensor(s);return this.disposeIntermediateTensorInfo(s),b}return s}},{key:"compileAndRun",value:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]&&arguments[4];n=n||t[0].dtype;var i=this.runWebGLProgram(e,t,n,r,a);return i}},{key:"getAndSaveBinary",value:function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}},{key:"getTextureManager",value:function(){return this.textureManager}},{key:"dispose",value:function(){var e=this;if(!this.disposed){if(!k0().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}));this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}}},{key:"floatPrecision",value:function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=X5((function(){if(!k0().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=k0().getBool("DEBUG");k0().set("DEBUG",!1);var n=e.abs(i9(1e-8)).dataSync()[0];if(k0().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue}},{key:"epsilon",value:function(){return 32===this.floatPrecision()?1e-7:1e-4}},{key:"uploadToGPU",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.values,i=t.texture,o=t.usage,s=t.isPacked;if(null==i){var u,c=null!=this.activeTimers;c&&(u=z4());var l=t.texShape;if(null==l&&(l=SNe(n,s),t.texShape=l),null!=a){var h,p=NNe(n),f=l[1],d=l[0],v=a instanceof Uint8Array||a instanceof Uint8ClampedArray;if(s||!v){var m=S(HIe(l[0],l[1]),2);f=m[0],d=m[1]}h=s?new ESe(p,v):new TSe(p,v);var g=v?[d,f]:l,y=this.makeTensorInfo(g,r),b=this.texData.get(y.dataId);b.usage=v?zIe.PIXELS:zIe.UPLOAD,b.texShape=g,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(y.dataId),f,d,a);var x=[[d,f]],k=this.runWebGLProgram(h,[y],r,x,!0),w=this.texData.get(k.dataId);t.texShape=w.texShape,t.isPacked=w.isPacked,t.usage=w.usage,k0().get("ENGINE_COMPILE_ONLY")?this.disposeData(k.dataId):(t.texture=w.texture,t.values=null,this.texData.delete(k.dataId)),this.disposeIntermediateTensorInfo(y),c&&(this.uploadWaitMs+=z4()-u)}else{var I=this.acquireTexture(l,o,r,s);t.texture=I}}}},{key:"convertAndCacheOnCPU",value:function(e,t){var n=this.texData.get(e),r=n.dtype;return null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error("Unknown dtype ".concat(t))}(t,r)),n.values}},{key:"acquireTexture",value:function(e,t,n,r){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var a=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: ".concat(a," MB, ")+"most likely due to a memory leak")}return this.textureManager.acquireTexture(e,t,r)}},{key:"computeBytes",value:function(e,t){return e[0]*e[1]*Z$(t)}},{key:"checkCompileCompletion",value:function(){for(var e=0,t=Object.entries(this.binaryCache);e<t.length;e++){var n=S(t[e],2)[1];this.checkCompletion_(n)}}},{key:"checkCompileCompletionAsync",value:(n=c(o().mark((function e(){var t,n,r,a,i,s,u,c,l=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(t=[],!this.gpgpu.parallelCompilationExtension){e.next=6;break}for(n=0,r=Object.entries(this.binaryCache);n<r.length;n++)a=S(r[n],2),i=a[1],t.push(this.checkCompletionAsync_(i));return e.abrupt("return",Promise.all(t));case 6:s=o().mark((function e(){var n,r,a;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:n=S(c[u],2),r=n[1],a=new Promise((function(e){try{l.checkCompletion_(r),e(!0)}catch(e){throw e}})),t.push(a);case 3:case"end":return e.stop()}}),e)})),u=0,c=Object.entries(this.binaryCache);case 8:if(!(u<c.length)){e.next=13;break}return e.delegateYield(s(),"t0",10);case 10:u++,e.next=8;break;case 13:return e.abrupt("return",Promise.all(t));case 14:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"checkCompletionAsync_",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)){e.next=4;break}return e.abrupt("return",this.checkCompletion_(t));case 4:return e.next=6,aie();case 6:return e.abrupt("return",this.checkCompletionAsync_(t));case 7:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"checkCompletion_",value:function(e){if(!1===this.gpgpu.gl.getProgramParameter(e.webGLProgram,this.gpgpu.gl.LINK_STATUS)){if(console.log(this.gpgpu.gl.getProgramInfoLog(e.webGLProgram)),!1===this.gpgpu.gl.getShaderParameter(e.fragmentShader,this.gpgpu.gl.COMPILE_STATUS))throw nNe(e.source,this.gpgpu.gl.getShaderInfoLog(e.fragmentShader)),new Error("Failed to compile fragment shader.");throw new Error("Failed to link vertex and fragment shaders.")}return!0}},{key:"getUniformLocations",value:function(){for(var e=0,t=Object.values(this.binaryCache);e<t.length;e++){var n=t[e];this.gpgpu.buildVao(n.webGLProgram);var r=mSe(this.gpgpu,n.program,n.webGLProgram),a=r.variablesLocations,i=r.customUniformLocations,o=r.infLoc,s=r.nanLoc,u=r.outShapeLocation,c=r.outShapeStridesLocation,l=r.outTexShapeLocation;n.variablesLocations=a,n.customUniformLocations=i,n.infLoc=o,n.nanLoc=s,n.outShapeLocation=u,n.outShapeStridesLocation=c,n.outTexShapeLocation=l}}},{key:"createTensorFromGPUData",value:function(e,t,n){e.channels=e.channels||"RGBA";var r=e.texture,a=e.height,i=e.width,o=e.channels,s=q5().backend;if(!s.gpgpu.gl.isTexture(r))throw new Error("The texture is invalid. 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getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        ").concat(o,"\n\n        setOutput(result);\n      }\n    ")}));function EEe(e){var t=e.inputs,n=e.backend,r=t.x;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var CEe={kernelName:W1,backendName:"webgl",kernelFunc:EEe};function AEe(e){var t=e.inputs,n=e.backend,r=t.real,a=t.imag,i=n.makeTensorInfo(r.shape,"complex64"),o=n.texData.get(i.dataId),s=EEe({inputs:{x:r},backend:n}),u=EEe({inputs:{x:a},backend:n});return o.complexTensorInfos={real:s,imag:u},i}var REe={kernelName:Z0,backendName:"webgl",kernelFunc:AEe},_Ee="return (a < 0.) ? b * a : a;",OEe="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var FEe={kernelName:q1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.alpha,o=n.makeTensorInfo([],"float32",M4(i,"float32")),s=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new TEe(OEe,a.shape,o.shape):new NEe(_Ee,a.shape,o.shape),u=n.runWebGLProgram(s,[a,o],"float32");return n.disposeIntermediateTensorInfo(o),u}},DEe="return (a < 0.) ? b * a : a;",MEe="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n";var LEe={kernelName:C2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha,i=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new TEe(MEe,r.shape,a.shape):new NEe(DEe,r.shape,a.shape);return n.runWebGLProgram(i,[r,a],"float32")}};function zEe(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.cpuKernelImpl,a=e.dtype;return function(e){var i,o=e.inputs,s=e.backend,u=o.x,c=s,l=a||u.dtype;if(c.shouldExecuteOnCPU([u])&&null!=r){var h=c.texData.get(u.dataId),p=r(h.values,l);return c.makeTensorInfo(u.shape,l,p)}return 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t=k0().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new TEe(jEe,a.shape,i.shape):new NEe(jEe,a.shape,i.shape),r.runWebGLProgram(t,[a,i],o)}var qEe={kernelName:g2,backendName:"webgl",kernelFunc:HEe};function KEe(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=L$(a.shape),u=G$(i,s),c=L$(u);F$(s===c,(function(){return"The new shape (".concat(u,") has ").concat(c," elements and the old ")+"shape (".concat(a.shape,") has ").concat(s," elements. 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getValue(batch, inIdx + 1), 0.0, 0.0);\n\n          ").concat(c,"\n        } else if (").concat(3===u,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2), 0.0);\n\n          ").concat(c,"\n        }\n        setOutput(sumValue);\n      }\n    ")})),JEe=p((function e(t,n){l(this,e),this.variableNames=["x"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.outSize;this.outputShape=[a,o];var s="0.0",u="";"prod"===n?s="1.0":"min"===n?(s="1.0 / 1e-20",u="min"):"max"===n&&(s="-1.0 / 1e-20",u="max");var c="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===n?c="sumValue":"prod"===n?c="prodValue":"all"===n?c="allValue":"any"===n&&(c="anyValue");var h=4*Math.floor(r/4),p=r%4,f="\n      if (".concat("sum"===n,") {\n        sumValue += dot(values, ones);\n      } else if (").concat("prod"===n,") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = ").concat(u,"(values, minMaxValue);\n        if (").concat("min"===n," || ").concat("max"===n,") {\n          minMaxValue = ").concat(u,"(values, minMaxValue);\n          bvec4 isNaN = isnan(values);\n          if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {\n            minMaxValue = vec4(NAN);\n          }\n        }\n      }\n    "),d="vec4";"all"===n?(s="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",d="bvec4"):"any"===n&&(s="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",d="bvec4");var v="";i%r>0&&(v="\n        if (inIdx < 0 || inIdx >= 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a=function(e){for(var t=[];0===t.length||1!==t[t.length-1].outSize;){var n=t.length?t[t.length-1].outSize:e[1],r=hie(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape),i=e,o=0;o<a.length;o++){var s,u=a[o],c=u.inSize,l=u.windowSize,h=u.outSize,p=void 0;p="mean"===n?0===o?new YEe({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},c):new YEe({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h}):new JEe({windowSize:l,inSize:c,batchSize:e.shape[0],outSize:h},n),s=i,i=r.runWebGLProgram(p,[i],t),s.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(s)}return i}var QEe=p((function e(t,n){l(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];this.outputShape=r,this.rank=r.length;var i=hSe(this.rank),o=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank ".concat(t," is not yet supported"));for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(n);this.userCode="\n    void main() {\n      ".concat(i," resRC = getOutputCoords();\n      setOutput(getA(").concat(o,"));\n    }\n    ")}));var $Ee=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];if(this.outputShape=r,this.rank=r.length,this.rank>6)throw Error("Packed transpose for rank ".concat(this.rank," is not yet supported."));for(var i=hSe(this.rank),o=KTe("rc",this.rank),s=new Array(this.rank),u=0;u<n.length;u++)s[n[u]]=o[u];var c="vec2(".concat(s.slice(-2).join(),")"),h="++".concat(o[this.rank-1]," < ").concat(r[this.rank-1]),p="getChannel(getA(".concat(s.join(),"), ").concat(c,")");this.userCode="\n    void main() {\n      ".concat(i," rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ").concat(p,";\n      if(").concat(h,") {\n        result[1] = ").concat(p,";\n      }\n      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nCe={kernelName:a3,backendName:"webgl",kernelFunc:tCe};function rCe(e){for(var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.perm,s=r,u=i.shape.length,c=new Array(u),l=0;l<c.length;l++)c[l]=i.shape[o[l]];if(s.shouldExecuteOnCPU([i])){var h=s.texData.get(i.dataId).values,p=HTe(h,i.shape,i.dtype,o,c);t=s.makeTensorInfo(c,i.dtype),s.texData.get(t.dataId).values=p}else t=eCe(i,o,s);return t}var aCe={kernelName:T3,backendName:"webgl",kernelFunc:rCe};function iCe(e){var t=e.a,n=e.b,r=e.transposeA,a=e.transposeB,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,c=void 0===u?null:u,l=e.leakyreluAlpha,h=void 0===l?0:l,p=e.activation,f=void 0===p?null:p,d=t.shape.length,v=n.shape.length,m=r?t.shape[d-2]:t.shape[d-1],g=a?n.shape[v-1]:n.shape[v-2],y=r?t.shape[d-1]:t.shape[d-2],b=a?n.shape[v-2]:n.shape[v-1],x=t.shape.slice(0,-2),k=n.shape.slice(0,-2),w=L$(x),I=L$(k),N=z7(t.shape.slice(0,-2),n.shape.slice(0,-2)).concat([y,b]);F$(m===g,(function(){return"Error in matMul: inner shapes 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WEe(T,E,[_,y,b],r,a,F,L,D,M),q=[C,A];if(null!=s&&q.push(s),D&&q.push(c),M){var K=i.makeTensorInfo([],"float32",M4(h,"float32"));q.push(K),R.push(K)}S=i.runWebGLProgram(H,q,j)}var X=KEe({inputs:{x:S},backend:i,attrs:{shape:N}});R.push(S);for(var Y=0,J=R;Y<J.length;Y++){var Z=J[Y];i.disposeIntermediateTensorInfo(Z)}return X}var oCe={kernelName:D3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.a,i=t.b,o=t.bias,s=t.preluActivationWeights,u=r.transposeA,c=r.transposeB,l=r.activation;return iCe({a:a,b:i,transposeA:u,transposeB:c,backend:n,bias:o,preluActivationWeights:s,leakyreluAlpha:r.leakyreluAlpha,activation:l})}},sCe="return abs(x);";var uCe={kernelName:N0,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=n.x;if(r.shouldExecuteOnCPU([a])&&"complex64"!==a.dtype){var i=r.texData.get(a.dataId),o=_Te(i.values);return r.makeTensorInfo(a.shape,a.dtype,o)}return t=k0().getBool("WEBGL_PACK_UNARY_OPERATIONS")?new vEe(a.shape,sCe):new 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h5(e,t)})),c=a.map((function(e){return e.shape})),l=k0().getBool("WEBGL_PACK")?new gCe(a[0].shape,c):new mCe(a[0].shape,c);return r.runWebGLProgram(l,a,u)}};var bCe={kernelName:A0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=j$(i,a.shape),c=u,l=$7(c,s),h=a;null!=l&&(h=rCe({inputs:{x:a},backend:n,attrs:{perm:l}}),c=t9(c.length,s)),Q7("all",c,s);var p,f=S(J7(h.shape,c),2),d=f[0],v=KEe({inputs:{x:h},backend:n,attrs:{shape:[-1,L$(f[1])]}}),m=ZEe(v,v.dtype,"all",n);return p=KEe(o?{inputs:{x:m},backend:n,attrs:{shape:Z7(d,u)}}:{inputs:{x:m},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}};var xCe={kernelName:R0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.keepDims,s=a.shape.length,u=j$(i,a.shape),c=u,l=$7(c,s),h=a;null!=l&&(h=rCe({inputs:{x:a},backend:n,attrs:{perm:l}}),c=t9(c.length,s)),Q7("any",c,s);var p,f=S(J7(h.shape,c),2),d=f[0],v=KEe({inputs:{x:h},backend:n,attrs:{shape:[-1,L$(f[1])]}}),m=ZEe(v,v.dtype,"any",n);return p=KEe(o?{inputs:{x:m},backend:n,attrs:{shape:Z7(d,u)}}:{inputs:{x:m},backend:n,attrs:{shape:d}}),n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),null!=l&&n.disposeIntermediateTensorInfo(h),p}},kCe=p((function e(t,n,r){l(this,e),this.variableNames=["A"];var a=t.windowSize,i=t.batchSize,o=t.outSize;r||this.variableNames.push("bestIndicesA"),this.outputShape=[i,o];var s="max"===n?">":"<",u=r?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ".concat(a,";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ").concat(a,"; i++) {\n          int inIdx = ").concat(u,";\n          float candidate = getA(batch, inIdx);\n          if (candidate ").concat(s," bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    ")})),wCe=p((function e(t,n,r,a){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,F$(t.length>2,(function(){return"Packed arg".concat(r.charAt(0).toUpperCase()+r.slice(1)," supports only inputs with rank above 2.")}));var i=t[t.length-1],o=Math.ceil(i/n);this.outputShape=t.slice(0,-1),o>1&&this.outputShape.push(o),a||this.variableNames.push("bestIndicesA");var s,u,c=this.outputShape,h=c.length,p=hSe(h),f=XTe("coords",h);if(1===o){var d=hSe(u=h+1);s="\n        ".concat(d," sourceLocR = ").concat(d,"(").concat(f.join(),", 0);\n        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round(vec4(getBestIndicesAChannel(".concat(y.join(),"),\n                             getBestIndicesAChannel(").concat(b.join(),"),\n                             getBestIndicesAChannel(").concat(x.join(),"),\n                             getBestIndicesAChannel(").concat(k.join(),")));"),N="vec4(\n            getAChannel(".concat(y.join(),"),\n            hasNextCol ? getAChannel(").concat(b.join(),") : 0.,\n            hasNextRow ? getAChannel(").concat(x.join(),") : 0.,\n            hasNextRow && hasNextCol ? getAChannel(").concat(k.join(),") : 0.)"),S=a?"":"\n      float getBestIndicesAChannel(".concat(g.join(),") {\n        return getChannel(getBestIndicesA(").concat(v.join(),"),\n                                          vec2(").concat(v.slice(-2).join(),"));\n      }");this.userCode="\n      float getAChannel(".concat(g.join(),") {\n        return getChannel(getA(").concat(v.join(),"),\n                               vec2(").concat(v.slice(-2).join(),"));\n      }\n      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? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    ")}));function ICe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=t.shape[0],i=t.shape[1];null!=r&&(a=r.shape[0],i=r.shape[1]);var o=hie(i),s={windowSize:o,inSize:i,batchSize:a,outSize:Math.ceil(i/o)},u=new kCe(s,n,null==r),c=[t];null!=r&&c.push(r);var l=e.runWebGLProgram(u,c,"int32");if(1===l.shape[1])return l;var h=ICe(e,t,n,l);return e.disposeIntermediateTensorInfo(l),h}function NCe(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=null!=r?r.shape:t.shape,i=a[a.length-1],o=hie(i),s=new wCe(a,o,n,null==r),u=null==r?[t]:[t,r],c=e.runWebGLProgram(s,u,"int32");if(c.shape.length===t.shape.length){var l=NCe(e,t,n,c);return e.disposeIntermediateTensorInfo(c),l}return c}function SCe(e,t,n,r){var a=[n];if(Q7("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!k0().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){var i=[],o=e.texData.get(t.dataId),s=t;null!==o&&o.isPacked&&(s=e.unpackTensor(t),i.push(s));var u=S(J7(s.shape,a),2),c=u[0],l=L$(u[1]),h=KEe({inputs:{x:s},backend:e,attrs:{shape:[-1,l]}});i.push(h);var p=ICe(e,h,r);i.push(p);var f=KEe({inputs:{x:p},backend:e,attrs:{shape:c}});return i.forEach((function(t){return e.disposeIntermediateTensorInfo(t)})),f}return NCe(e,t,r)}var TCe={kernelName:_0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=j$(r.axis,a.shape),o=$7(i,a.shape.length),s=a,u=[];null!=o&&(s=rCe({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=t9(i.length,s.shape.length)),Q7("argMax",[i[0]],s.shape.length);var c=SCe(n,s,i[0],"max");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}};var ECe={kernelName:O0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=j$(r.axis,a.shape),o=$7(i,a.shape.length),s=a,u=[];null!=o&&(s=rCe({inputs:{x:a},backend:n,attrs:{perm:o}}),u.push(s),i=t9(i.length,s.shape.length)),Q7("argMin",[i[0]],s.shape.length);var c=SCe(n,s,i[0],"min");return u.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),c}},CCe=zEe({opSnippet:"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n"}),ACe={kernelName:F0,backendName:"webgl",kernelFunc:CCe},RCe=zEe({opSnippet:"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));"}),_Ce={kernelName:D0,backendName:"webgl",kernelFunc:RCe},OCe=zEe({opSnippet:"if (isnan(x)) return x;\n  return atan(x);\n"}),FCe={kernelName:M0,backendName:"webgl",kernelFunc:OCe},DCe=PEe({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",packedOpSnippet:"\n  vec4 result = atan(a, b);\n  bvec4 isNaNA = isnan(a);\n  bvec4 isNaNB = isnan(b);\n  bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n  \n  result.r = isNaN.r ? NAN : result.r;\n  result.g = isNaN.g ? NAN : result.g;\n  result.b = isNaN.b ? NAN : result.b;\n  result.a = isNaN.a ? NAN : result.a;\n\n  return result;\n"}),MCe={kernelName:z0,backendName:"webgl",kernelFunc:DCe},LCe=zEe({opSnippet:"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\nreturn (log(1.0 + x) - log(1.0 - x)) / 2.0;"}),zCe={kernelName:L0,backendName:"webgl",kernelFunc:LCe},PCe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(l(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideHeight,u=t.strideWidth,c=t.dilationHeight,h=t.dilationWidth,p=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=t.padInfo.top,v=t.padInfo.left;this.outputShape=t.outShape;var m="avg"===n,g="((batch  * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),y="(xR * ".concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),b="0.0";if(m||(b="-1.0 / 1e-20"),r){var x=">=";this.userCode="\n        const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n        const ivec2 pads = ivec2(").concat(d,", ").concat(v,");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < ").concat(p,";\n              wR += ").concat(c,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(f,";\n                wC += ").concat(h,") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value ").concat(x," currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = ").concat(a?i?g:y:"wR * ".concat(f," + wC"),";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var k="max",w="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(w="avgValue / max(count, 1.0)");var I=4*Math.floor(o/4),N=o%4,S="\n      if (".concat(m,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat(k,"(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec2 strides = ivec2(".concat(s,", ").concat(u,");\n      const ivec2 pads = ivec2(").concat(d,", ").concat(v,");\n      const float initializationValue = ").concat(b,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= ").concat(t.inWidth,") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(").concat(b,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ").concat(p,";\n            wR += ").concat(c,") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ").concat(t.inHeight,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(I,"; wC += 4) {\n            int xC = xCCorner + wC * ").concat(h,";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(h,", d),\n              getValue(batch, xR, xC + 2 * ").concat(h,", d),\n              getValue(batch, xR, xC + 3 * ").concat(h,", d)\n            );\n\n            ").concat(S,"\n          }\n\n          int xC = xCCorner + ").concat(I,";\n          if (").concat(1===N,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(S,"\n          } else if (").concat(2===N,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(h,", d),\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(S,"\n          } else if (").concat(3===N,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(h,", d),\n              getValue(batch, xR, xC + 2 * ").concat(h,", d),\n              initializationValue\n            );\n\n            ").concat(S,"\n          }\n        }\n        setOutput(").concat(w,");\n      }\n    ")}})),BCe=p((function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(l(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var o=t.filterWidth,s=t.strideDepth,u=t.strideHeight,c=t.strideWidth,h=t.dilationDepth,p=t.dilationHeight,f=t.dilationWidth,d=t.effectiveFilterDepth,v=t.effectiveFilterHeight,m=t.effectiveFilterWidth,g=t.padInfo.front,y=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;var x="avg"===n,k="0.0";if(x||(k="-1.0 / 1e-20"),r){var w=">=";this.userCode="\n        const ivec3 strides =\n            ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n        const ivec3 pads = ivec3(").concat(g,", ").concat(y,", ").concat(b,");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < ").concat(d,";\n              wD += ").concat(h,") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int wR = 0; wR < ").concat(v,";\n                wR += ").concat(p,") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int wC = 0; wC < ").concat(m,";\n                  wC += ").concat(f,") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value ").concat(w," currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = ").concat(a?i?"(((batch * ".concat(t.inDepth," + xD) * ").concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"((xD * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"wD * ".concat(v," * ").concat(m," +\n                      wR * ").concat(m," + wC"),";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var I="max",N="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(N="avgValue / max(count, 1.0)");var S=4*Math.floor(o/4),T=o%4,E="\n      if (".concat(x,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat(I,"(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec3 strides =\n        ivec3(".concat(s,", ").concat(u,", ").concat(c,");\n      const ivec3 pads = ivec3(").concat(g,", ").concat(y,", ").concat(b,");\n      const float initializationValue = ").concat(k,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= ").concat(t.inWidth,") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(").concat(k,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ").concat(d,";\n            wD += ").concat(h,") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(v,";\n            wR += ").concat(p,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(S,"; wC += 4) {\n              int xC = xCCorner + wC * ").concat(f,";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(f,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(f,", ch),\n                getValue(batch, xD, xR, xC + 3 * ").concat(f,", ch)\n              );\n\n              ").concat(E,"\n            }\n\n            int xC = xCCorner + ").concat(S,";\n            if (").concat(1===T,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(E,"\n            } else if (").concat(2===T,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(f,", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(E,"\n            } else if (").concat(3===T,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(f,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(f,", ch),\n                initializationValue\n              );\n\n              ").concat(E,"\n            }\n          }\n        }\n        setOutput(").concat(N,");\n      }\n    ")}}));var WCe={kernelName:P0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;zNe(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;F$(j8(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=O8(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&P$(c.inShape,c.outShape))return EEe({inputs:{x:a},backend:n});var l=new PCe(c,"avg",!1);return n.runWebGLProgram(l,[a],"float32")}};var UCe={kernelName:W0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode,c=r.dataFormat,l=F8(a.shape,i,o,[1,1,1],s,u,c),h=new BCe(l,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}},VCe=p((function e(t){l(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,h=u-1-t.padInfo.top,p=c-1-t.padInfo.left,f=1/(n*r);this.userCode="\n      const ivec2 pads = ivec2(".concat(h,", ").concat(p,");\n      const float avgMultiplier = float(").concat(f,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(u,";\n            wR += ").concat(o,") {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(c,";\n            wC+= ").concat(s,") {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),GCe=p((function e(t){l(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,h=t.dilationWidth,p=t.effectiveFilterDepth,f=t.effectiveFilterHeight,d=t.effectiveFilterWidth,v=p-1-t.padInfo.front,m=f-1-t.padInfo.top,g=d-1-t.padInfo.left,y=1/(n*r*a);this.userCode="\n      const ivec3 pads = ivec3(".concat(v,", ").concat(m,", ").concat(g,");\n      const float avgMultiplier = float(").concat(y,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ").concat(p,";\n            wD += ").concat(u,") {\n          float dyD = float(dyDCorner + wD) / ").concat(i,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(f,";\n              wR += ").concat(c,") {\n            float dyR = float(dyRCorner + wR) / ").concat(o,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(d,";\n                wC += ").concat(h,") {\n              float dyC = float(dyCCorner + wC) / ").concat(s,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var jCe={kernelName:U0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=r.filterSize,s=r.strides,u=r.pad,c=r.dimRoundingMode,l=F8(i.shape,o,s,[1,1,1],u,c),h=new GCe(l);return n.runWebGLProgram(h,[a],i.dtype)}};var HCe={kernelName:B0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;zNe([a,i],"avgPoolGrad");var s=r.filterSize,u=r.strides,c=r.pad,l=O8(o.shape,s,u,1,c),h=new VCe(l);return n.runWebGLProgram(h,[a],o.dtype)}};var qCe={kernelName:V0,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;return iCe({a:t.a,b:t.b,transposeA:r.transposeA,transposeB:r.transposeB,backend:n})}},KCe=p((function e(t,n,r,a,i,o){l(this,e),this.outputShape=[],this.variableNames=["x","mean","variance"],z7(t,n),z7(t,r);var s="0.0";null!=a&&(z7(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="1.0";null!=i&&(z7(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ".concat(s,";\n        float scale = ").concat(u,";\n        float inv = scale * inversesqrt(variance + float(").concat(o,"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    ")})),XCe=p((function e(t,n,r,a,i,o){l(this,e),this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],z7(t,n),z7(t,r);var s="vec4(0.0)";null!=a&&(z7(t,a),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var u="vec4(1.0)";null!=i&&(z7(t,i),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = ".concat(s,";\n        vec4 scale = ").concat(u,";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(").concat(o,"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    ")})),YCe={kernelName:M1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.mean,o=t.variance,s=t.offset,u=t.scale;F$(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal 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1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if (").concat(1===m,") {\n\n              if (").concat(g,") {\n                dotProd +=\n                    getX(batch, xR, xC, ").concat(v,") *\n                    getW(wR, wC, ").concat(v,", d2);\n              } else {\n                dotProd +=\n                    getX(batch, ").concat(v,", xR, xC) *\n                    getW(wR, wC, ").concat(v,", d2);\n              }\n\n            } else if (").concat(2===m,") {\n              vec2 wValues = vec2(\n                getW(wR, wC, ").concat(v,", d2),\n                getW(wR, wC, ").concat(v," + 1, d2)\n              );\n\n              if (").concat(g,") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ").concat(v,"),\n                  getX(batch, xR, xC, ").concat(v," + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ").concat(v,", xR, xC),\n                  getX(batch, ").concat(v," + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (").concat(3===m,") {\n              vec3 wValues = vec3(\n                getW(wR, wC, ").concat(v,", d2),\n                getW(wR, wC, ").concat(v," + 1, d2),\n                getW(wR, wC, ").concat(v," + 2, d2)\n              );\n\n              if (").concat(g,") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ").concat(v,"),\n                  getX(batch, xR, xC, ").concat(v," + 1),\n                  getX(batch, xR, xC, ").concat(v," + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ").concat(v,", xR, xC),\n                  getX(batch, ").concat(v," + 1, xR, xC),\n                  getX(batch, ").concat(v," + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ").concat(I,"\n        ").concat(w,"\n        setOutput(result);\n      }\n    ")})),CAe=p((function e(t){l(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var n=t.padInfo.front,r=t.padInfo.top,a=t.padInfo.left,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=t.dilationDepth,c=t.dilationHeight,h=t.dilationWidth,p=t.filterDepth,f=t.filterHeight,d=t.filterWidth,v=4*Math.floor(t.inChannels/4),m=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3(".concat(i,", ").concat(o,", ").concat(s,");\n      const ivec3 pads = ivec3(").concat(n,", ").concat(r,", ").concat(a,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ").concat(p,"; wF++) {\n          int xF = xFCorner + wF * ").concat(u,";\n\n          if (xF < 0 || xF >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(f,"; wR++) {\n            int xR = xRCorner + wR * ").concat(c,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(d,"; wC++) {\n              int xC = xCCorner + wC * ").concat(h,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ").concat(v,"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if (").concat(1===m,") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ").concat(v,") *\n                  getW(wF, wR, wC, ").concat(v,", d2);\n              } else if (").concat(2===m,") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ").concat(v,"),\n                  getX(batch, xF, xR, xC, ").concat(v," + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ").concat(v,", d2),\n                  getW(wF, wR, wC, ").concat(v," + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (").concat(3===m,") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ").concat(v,"),\n                  getX(batch, xF, xR, xC, ").concat(v," + 1),\n                  getX(batch, xF, xR, xC, ").concat(v," + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ").concat(v,", d2),\n                  getW(wF, wR, wC, ").concat(v," + 1, d2),\n                  getW(wF, wR, wC, ").concat(v," + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),AAe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=xSe(this.outputShape.length);for(var o=t.padInfo.left,s=t.strideWidth,u=t.dilationWidth,c=t.filterHeight,h=t.filterWidth,p=h,f="\n       int xR; int xC; int xCOffset;\n       vec4 wTexel; vec4 previous; vec4 final;",d=0;d<h;d++)f+="\n           vec4 xTexelC".concat(2*d,";\n           int xTexelC").concat(2*d,"Ready;\n           vec4 xTexelC").concat(2*d+1,";\n           int xTexelC").concat(2*d+1,"Ready;\n           vec4 xC").concat(d,";");f+="\n     for (int r = 0; r < ".concat(c,"; r++) {\n      for (int d1 = 0; d1 < ").concat(t.inChannels,"; d1 += 2) {\n       ");for(var v=0;v<h;v++)f+="\n           xTexelC".concat(2*v," = vec4(0.0);\n           xTexelC").concat(2*v,"Ready = 0;\n           xTexelC").concat(2*v+1," = vec4(0.0);\n           xTexelC").concat(2*v+1,"Ready = 0;\n           xC").concat(v," = vec4(0.0);");f+="\n         xR = xRCorner + r * dilations[0];\n         if (xR >=0 && xR < inDims[0]) {\n       ";for(var m=0;m<(p+1)/2;m++){var g=2*m;if(f+="\n           xC = xCCorner + ".concat(g*u,";\n           "),1===s){if(g<h&&(o%2==1?(f+="\n                 xCOffset = xC + 1;\n                 if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n               "),f+=1===u&&g>0?"\n                 xC".concat(g," = vec4(xTexelC").concat(g-2,".zw, xTexelC").concat(g,".xy);\n                 "):"\n                   xCOffset = xC + 1 - 2;\n\n                   if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                     previous = getX(batch, xR, xCOffset, d1);\n\n                     // Need to manually clear unused channels in case\n                     // we're reading from recycled texture.\n                     if (xCOffset + 1 >= inDims[1]) {\n                       previous.zw = vec2(0.0);\n                     }\n\n                     xC".concat(g," = vec4(previous.zw, xTexelC").concat(g,".xy);\n                   } else {\n                     xC").concat(g," = vec4(0.0, 0.0, xTexelC").concat(g,".xy);\n                   }\n                   ")):f+="\n                 if (xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n\n                 xC").concat(g," = xTexelC").concat(g,";\n                 "),g+1<h)){var y=o%2==0?R$(u):u;u%2==0&&o%2==1||u%2!=0&&o%2!=1?(f+="\n                   xCOffset = xC + imod(pads[1], 2) + ".concat(y,";\n\n                   if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                     xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n\n                     // Need to manually clear unused channels in case\n                     // we're reading from recycled texture.\n                     if (xCOffset + 1 >= inDims[1]) {\n                       xTexelC").concat(g+1,".zw = vec2(0.0);\n                     }\n                     xTexelC").concat(g+1,"Ready = 1;\n                   }\n                   "),f+=u>1?"\n                     xCOffset -= 2;\n                     if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                      previous = getX(batch, xR, xCOffset, d1);\n                      xC".concat(g+1," = vec4(previous.zw, xTexelC").concat(g+1,".xy);\n                     } else {\n                      xC").concat(g+1," = vec4(0.0, 0.0, xTexelC").concat(g+1,".xy);\n                     }\n                     "):"\n                     xC".concat(g+1," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".xy);\n                     ")):f+=1===y?"\n                     xC".concat(g+1," = xTexelC").concat(g,";\n                     "):"\n                     xCOffset = xC + ".concat(y,";\n\n                     if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                       xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n                       if (xCOffset + 1 >= inDims[1]) {\n                         xTexelC").concat(g+1,".zw = vec2(0.0);\n                       }\n                       xTexelC").concat(g+1,"Ready = 1;\n                     }\n\n                     xC").concat(g+1," = xTexelC").concat(g+1,";\n                     ")}}else g<h&&(o%2==1?(f+="\n                 xCOffset = xC + 1 - strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xCOffset, d1);\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n\n                 if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                   xTexelC").concat(g+1," = getX(batch, xR, xC + 1, d1);\n                   // Need to manually clear unused channels in case\n                   // we're reading from recycled texture.\n                   if (xC + 2 >= inDims[1]) {\n                     xTexelC").concat(g+1,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g+1,"Ready = 1;\n                 }\n\n                 xC").concat(g," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".zw);\n               "),g+1<h&&(f+="\n                   final = vec4(0.0);\n                   xCOffset = xC + 1 + strides[1];\n                   if(xCOffset >= 0 && xCOffset < inDims[1]) {\n                     final = getX(batch, xR, xCOffset, d1);\n                   }\n                   xC".concat(g+1," = vec4(xTexelC").concat(g+1,".xy, final.xy);\n                 "))):(f+="\n                 if(xC >= 0 && xC < inDims[1] && xTexelC".concat(g,"Ready == 0) {\n                   xTexelC").concat(g," = getX(batch, xR, xC, d1);\n                   if (xC + 1 >= inDims[1]) {\n                     xTexelC").concat(g,".zw = vec2(0.0);\n                   }\n                   xTexelC").concat(g,"Ready = 1;\n                 }\n\n                 xCOffset = xC + strides[1];\n                 if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(g+1,"Ready == 0) {\n                   xTexelC").concat(g+1," = getX(batch, xR, xCOffset, d1);\n                   if (xCOffset + 1 >= inDims[1]) {\n                     xTexelC").concat(g+1,".zw = vec2(0.);\n                   }\n                   xTexelC").concat(g+1,"Ready = 1;\n                 }\n\n                 xC").concat(g," = vec4(\n                   xTexelC").concat(g,".xy, xTexelC").concat(g+1,".xy);\n               "),g+1<h&&(f+="\n                   xC".concat(g+1," = vec4(xTexelC").concat(g,".zw, xTexelC").concat(g+1,".zw);\n                 "))));g<h&&(f+="\n             wTexel = getW(r, ".concat(g,", d1, d2);\n             dotProd += xC").concat(g,".xxzz * vec4(wTexel.xy, wTexel.xy);\n             if(d1 + 1 < ").concat(t.inChannels,") {\n               dotProd += xC").concat(g,".yyww * vec4(wTexel.zw, wTexel.zw);\n             }\n           "),g+1<h&&(f+="\n               wTexel = getW(r, ".concat(g+1,", d1, d2);\n               dotProd += xC").concat(g+1,".xxzz * vec4(wTexel.xy, wTexel.xy);\n               if(d1 + 1 < ").concat(t.inChannels,") {\n                 dotProd += xC").concat(g+1,".yyww * vec4(wTexel.zw, wTexel.zw);\n               }\n             ")))}f+="\n     }\n   ",f+="\n     }\n   ",f+="\n     }\n   ";var b="",x="";r&&(b=a?"vec4 activation(vec4 a) {\n           vec4 b = getPreluActivationWeightsAtOutCoords();\n           ".concat(r,"\n         }"):i?"vec4 activation(vec4 a) {\n           vec4 b = getLeakyreluAlphaAtOutCoords();\n           ".concat(r,"\n         }"):"vec4 activation(vec4 x) {\n           ".concat(r,"\n         }"),x="result = activation(result);");var k=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n       ".concat(b,"\n\n       void main() {\n         ivec4 coords = getOutputCoords();\n         int batch = coords.x;\n         ivec2 xRCCorner = coords.yz * strides - pads;\n         int d2 = coords.w;\n         int xRCorner = xRCCorner.x;\n         int xCCorner = xRCCorner.y;\n\n         //intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.\n         vec4 dotProd = vec4(0.000000000000001);\n\n         ").concat(f,"\n\n         vec4 result = dotProd - vec4(0.000000000000001);\n         ").concat(k,"\n         ").concat(x,"\n         setOutput(result);\n       }\n     ")})),RAe=p((function e(t,n){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=t,this.enableShapeUniforms=xSe(this.outputShape.length);for(var r=n.dataFormat,a=WNe(),i="channelsLast"===r,o=i?1:2,s=i?2:3,u=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":"if(blockIndex < ".concat(t[2]," && pos < ").concat(t[1],") {"),c="",h=0;h<=1;h++)for(var p=0;p<=1;p++)c+="\n          blockIndex = rc.z + ".concat(p,";\n          pos = rc.y + ").concat(h,";\n\n          ").concat(u,"\n            offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];\n            d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);\n\n            if(d0 < inputShape[").concat(o,"] && d0 >= 0) {\n              // Use custom imod instead mod. On Intel GPU, mod may generate\n              // unexpected value.\n              // https://github.com/tensorflow/tfjs/issues/5447\n              offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];\n              d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /\n                  inChannels);\n\n              if(d1 < inputShape[").concat(s,"] && d1 >= 0) {\n\n                ch = imod(pos, inChannels);\n\n                if (").concat(i,") {\n                  innerDims = vec2(d1, ch);\n                  result[").concat(2*h+p,"] = getChannel(\n                    getA(rc.x, d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[").concat(2*h+p,"] = getChannel(\n                    getA(rc.x, ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ");this.userCode="\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        ".concat(c,"\n\n        ").concat(a.output," = result;\n      }\n    ")}));function _Ae(e,t){var n=e.length;return n>=3?[].concat(T(e.slice(0,-3)),t?[e[n-3]*e[n-2],e[n-1]]:[e[n-3],e[n-2]*e[n-1]]):!t&&1===n&&e[0]>1?[e[0],1]:null}function OAe(e){var t,n=e.x,r=e.filter,a=e.convInfo,i=e.backend,o=e.bias,s=void 0===o?null:o,u=e.preluActivationWeights,c=void 0===u?null:u,l=e.leakyreluAlpha,h=void 0===l?0:l,p=e.activation,f=void 0===p?null:p,d=n.shape,v=i.texData.get(n.dataId),m=a.inChannels,g=d[0]*d[1]*d[2],y=a.outChannels,b="channelsLast"===a.dataFormat,x=[];if(null!=c){var k=_Ae(c.shape,b);null!=k&&(c=KEe({inputs:{x:c},backend:i,attrs:{shape:k}}),x.push(c))}if(null!=s){var w=_Ae(s.shape,b);null!=w&&(s=KEe({inputs:{x:s},backend:i,attrs:{shape:w}}),x.push(s))}if(!((1===g||1===y)&&m>1e3)&&v.isPacked&&b&&null!=v.texture&&d[2]%2!=0&&P$(v.shape.slice(-3),d.slice(-3))){var I=d[0]*d[1]*(d[2]+1),N={dataId:n.dataId,shape:[1,I,a.inChannels],dtype:n.dtype},S=v.shape;v.shape=v.shape.slice(),v.shape[v.shape.length-2]++,F$(ENe(v.shape,N.shape),(function(){return"packed reshape ".concat(v.shape," to ").concat(N.shape," isn't free")}));var T=KEe({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}});x.push(T);var E=iCe({a:N,b:T,backend:i,transposeA:!1,transposeB:false,bias:s,activation:f,preluActivationWeights:c,leakyreluAlpha:h}),C=i.texData.get(E.dataId);F$(C.isPacked,(function(){return"batchMatMul result is expected to be packed"})),v.shape=S,C.shape=a.outShape,(t=EEe({inputs:{x:E},backend:i})).shape=a.outShape,x.push(E)}else{var A=a.outHeight*a.outWidth,R=KEe({inputs:{x:n},backend:i,attrs:{shape:b?[a.batchSize,A,a.inChannels]:[a.batchSize,a.inChannels,A]}}),_=KEe({inputs:{x:r},backend:i,attrs:{shape:[1,a.inChannels,a.outChannels]}}),O=iCe({a:b?R:_,b:b?_:R,transposeA:!b,transposeB:false,backend:i,bias:s,activation:f,preluActivationWeights:c,leakyreluAlpha:h});t=KEe({inputs:{x:O},backend:i,attrs:{shape:a.outShape}}),x.push(R),x.push(_),x.push(O)}for(var F=0,D=x;F<D.length;F++){var M=D[F];i.disposeIntermediateTensorInfo(M)}return t}function FAe(e){var t=e.x,n=e.filter,r=e.convInfo,a=e.backend,i=e.bias,o=void 0===i?null:i,s=e.preluActivationWeights,u=void 0===s?null:s,c=e.leakyreluAlpha,l=void 0===c?0:c,h=e.activation,p=void 0===h?null:h,f=r.filterWidth,d=r.filterHeight,v=r.inChannels,m=r.outWidth,g=r.outHeight,y="channelsLast"===r.dataFormat,b=f*d*v,x=g*m,k=[r.batchSize,b,x],w=[];if(null!=u){var I=_Ae(u.shape,y);null!=I&&(u=KEe({inputs:{x:u},backend:a,attrs:{shape:I}}),w.push(u))}if(null!=o){var N=_Ae(o.shape,y);null!=N&&(o=KEe({inputs:{x:o},backend:a,attrs:{shape:N}}),w.push(o))}var S=KEe({inputs:{x:n},backend:a,attrs:{shape:[1,b,L$(n.shape)/b]}});w.push(S);var T=new RAe(k,r),E=[t.shape,[r.padInfo.top,r.padInfo.left],[r.strideHeight,r.strideWidth],[r.dilationHeight,r.dilationWidth],[r.inChannels],[r.filterWidth*r.inChannels],[r.outWidth]],C=a.runWebGLProgram(T,[t],"float32",E),A=KEe({inputs:{x:C},backend:a,attrs:{shape:k}});w.push(C),w.push(A);var R=null!=o,_=null!=u,O="leakyrelu"===p,F=p?BEe(p,!0):null,D=new WEe(y?A.shape:S.shape,y?S.shape:A.shape,y?[r.batchSize,x,r.outChannels]:[r.batchSize,r.outChannels,x],!0,!1,R,F,_,O),M=y?[A,S]:[S,A];if(o&&M.push(o),_&&M.push(u),O){var L=a.makeTensorInfo([],"float32",M4(l,"float32"));M.push(L),w.push(L)}var z=a.runWebGLProgram(D,M,"float32"),P=KEe({inputs:{x:z},backend:a,attrs:{shape:r.outShape}});w.push(z);for(var B=0,W=w;B<W.length;B++){var U=W[B];a.disposeIntermediateTensorInfo(U)}return P}var DAe={kernelName:e1,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=n.filter,s=a.strides,u=a.pad,c=a.dataFormat,l=a.dilations,h=a.dimRoundingMode,p=q8(c),f=D8(i.shape,o.shape,s,l,u,h,!1,p);if(1!==f.filterHeight||1!==f.filterWidth||1!==f.dilationHeight||1!==f.dilationWidth||1!==f.strideHeight||1!==f.strideWidth||"SAME"!==f.padInfo.type&&"VALID"!==f.padInfo.type)if(f.strideWidth<=2&&"channelsLast"===p&&k0().getBool("WEBGL_EXP_CONV")){var d=new AAe(f),v=[[f.padInfo.top,f.padInfo.left],[f.strideHeight,f.strideWidth],[f.dilationHeight,f.dilationWidth],[f.inHeight,f.inWidth]];t=r.runWebGLProgram(d,[i,o],"float32",v)}else if(k0().getBool("WEBGL_CONV_IM2COL"))t=FAe({x:i,filter:o,convInfo:f,backend:r});else{var m=new EAe(f);t=r.runWebGLProgram(m,[i,o],"float32")}else t=OAe({x:i,filter:o,convInfo:f,backend:r});var g=KEe({inputs:{x:t},backend:r,attrs:{shape:f.outShape}});return r.disposeIntermediateTensorInfo(t),g}},MAe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideHeight,r=t.strideWidth,a=t.padInfo.top,i=t.padInfo.left,o="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ".concat(t.batchSize,"; b++) {\n          for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n            int xR = wR + yR * ").concat(n," - ").concat(a,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n              int xC = wC + yC * ").concat(r," - ").concat(i,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              ").concat(o?"float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);":"float dyValue = getDy(b, d2, yR, yC);\n              float xValue = getX(b, d1, xR, xC);\n              dotProd += (xValue * dyValue);","\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),LAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o="channelsLast"===t.dataFormat,s=n-1-t.padInfo.top,u=r-1-t.padInfo.left,c=o?1:2,h=o?2:3,p=o?3:1;this.userCode="\n      const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[").concat(p,"];\n\n        ivec2 dyCorner = ivec2(coords[").concat(c,"], coords[").concat(h,"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2++) {\n\n              if (").concat(o,") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),zAe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.padInfo.front,o=t.padInfo.top,s=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ".concat(t.batchSize,"; b++) {\n          for (int yF = 0; yF < ").concat(t.outDepth,"; yF++) {\n            int xF = wF + yF * ").concat(n," - ").concat(i,";\n\n            if (xF < 0 || xF >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n              int xR = wR + yR * ").concat(r," - ").concat(o,";\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n                int xC = wC + yC * ").concat(a," - ").concat(s,";\n\n                if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),PAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,i=t.strideDepth,o=t.strideHeight,s=t.strideWidth,u=n-1-t.padInfo.front,c=r-1-t.padInfo.top,h=a-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3(".concat(u,", ").concat(c,", ").concat(h,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ").concat(n,"; wF++) {\n          float dyF = float(dyFCorner + wF) / ").concat(i,".0;\n\n          if (dyF < 0.0 || dyF >= ").concat(t.outDepth,".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ").concat(n," - 1 - wF;\n\n          for (int wR = 0; wR < ").concat(r,"; wR++) {\n            float dyR = float(dyRCorner + wR) / ").concat(o,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ").concat(r," - 1 - wR;\n\n            for (int wC = 0; wC < ").concat(a,"; wC++) {\n              float dyC = float(dyCCorner + wC) / ").concat(s,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ").concat(a," - 1 - wC;\n\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")}));var BAe={kernelName:t1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=r.filterShape,h=q8(u),p=D8(a.shape,l,o,1,s,c,!1,h),f=new MAe(p);return n.runWebGLProgram(f,[a,i],"float32")}},WAe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=t.inShape,this.enableShapeUniforms=xSe(this.outputShape.length);var n=t.filterHeight,r=t.filterWidth,a=n-1-t.padInfo.top,i=r-1-t.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2(".concat(a,", ").concat(i,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        vec4 result = vec4(0.);\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / strides[0];\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            float dyC = float(dyCCorner + wC) / strides[1];\n            bool idyCVal = (dyC >= 0.0) && (dyC < ").concat(t.outWidth,".0)\n              && (fract(dyC) == 0.0);\n            int idyC = int(dyC);\n\n            float dyC2 = float(dyCCorner + wC + 1) / strides[1];\n            bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ").concat(t.outWidth,".0)\n              && (fract(dyC2) == 0.0);\n            int idyC2 = int(dyC2);\n\n            if (idyCVal && idyCVal2) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC, d2);\n                vec4 dySample2 = (idyC / 2 == idyC2 / 2) ?\n                  dySample : getDy(batch, idyR, idyC2, d2);\n\n                vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.xy += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n\n                dyValue = mod(float(idyC2), 2.) == 0. ?\n                  dySample2.xy : dySample2.zw;\n                result.zw += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            } else if (idyCVal) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC, d2);\n                vec2 dyValue = mod(float(idyC), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.xy += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            } else if (idyCVal2) {\n              for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2 += 2) {\n                vec4 wValue = getW(wRPerm, wCPerm, d1, d2);\n                vec4 dySample = getDy(batch, idyR, idyC2, d2);\n                vec2 dyValue = mod(float(idyC2), 2.) == 0. ?\n                  dySample.xy : dySample.zw;\n                result.zw += vec2(dot(dyValue, wValue.xy),\n                  dot(dyValue, wValue.zw));\n              }\n            }\n          }\n        }\n        setOutput(result);\n      }\n    ")}));var UAe={kernelName:n1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.inputShape,s=r.strides,u=r.pad,c=r.dataFormat,l=r.dimRoundingMode,h=q8(c),p=D8(o,i.shape,s,1,u,l,!1,h);if(k0().getBool("WEBGL_PACK_CONV2DTRANSPOSE")&&"channelsLast"===h){var f=[[p.strideHeight,p.strideWidth]],d=new WAe(p);return n.runWebGLProgram(d,[a,i],"float32",f)}var v=new LAe(p);return n.runWebGLProgram(v,[a,i],"float32")}};var VAe={kernelName:r1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=M8(a.shape,i.shape,o,u,s),l=new CAe(c);return n.runWebGLProgram(l,[a,i],"float32")}};var GAe={kernelName:a1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.dy,o=r.strides,s=r.pad,u=r.filterShape,c=M8(a.shape,u,o,1,s),l=new zAe(c);return n.runWebGLProgram(l,[a,i],"float32")}};var jAe,HAe={kernelName:i1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.filter,o=r.pad,s=r.strides,u=M8(r.inputShape,i.shape,s,1,o),c=new PAe(u);return n.runWebGLProgram(c,[a,i],"float32")}},qAe=zEe({opSnippet:"if (isnan(x)) return x;\n  return cos(x);\n",packedOpSnippet:"\n  vec4 result = cos(x);\n  bvec4 isNaN = isnan(x);\n  ".concat(SEe,"\n  return result;\n")}),KAe={kernelName:o1,backendName:"webgl",kernelFunc:qAe},XAe=zEe({opSnippet:"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n"}),YAe={kernelName:s1,backendName:"webgl",kernelFunc:XAe},JAe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3],p=S(n,1)[0],f=S(r,2),d=f[0],v=f[1];this.outputShape=[p,d,v,h];var m="bilinear"===a?1:0,g="".concat(u-1,".0"),y="".concat(c-1,".0"),b=S(d>1?["".concat((u-1)/(d-1)),"(y2-y1) * height_ratio","y1*".concat(g," + float(y)*(height_scale)")]:["0.0","0.0","0.5 * (y1+y2) * ".concat(g)],3),x=b[0],k=b[1],w=b[2],I=S(v>1?["".concat((c-1)/(v-1)),"(x2-x1) * width_ratio","x1*".concat(y," + float(x)*(width_scale)")]:["0.0","0.0","0.5 * (x1+x2) * ".concat(y)],3),N=I[0],T=I[1],E=I[2];this.userCode="\n      const float height_ratio = float(".concat(x,");\n      const float width_ratio = float(").concat(N,");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= ").concat(s,") {\n          return;\n        }\n\n        float height_scale = ").concat(k,";\n        float width_scale = ").concat(T,";\n\n        float in_y = ").concat(w,";\n        if( in_y < 0.0 || in_y > ").concat(g," ) {\n          setOutput(float(").concat(i,"));\n          return;\n        }\n        float in_x = ").concat(E,";\n        if( in_x < 0.0 || in_x > ").concat(y," ) {\n          setOutput(float(").concat(i,"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if(").concat(m," == 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    ")})),ZAe={kernelName:l1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.boxes,o=t.boxInd,s=r.cropSize,u=r.method,c=r.extrapolationValue,l=new JAe(a.shape,i.shape,s,u,c);return n.runWebGLProgram(l,[a,i,o],"float32")}};!function(e){e.Prod="*",e.Sum="+"}(jAe||(jAe={}));var QAe=p((function e(t,n,r,a){l(this,e),this.op=t,this.outputShape=n,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];var i=this.outputShape.length,o=this.op===jAe.Prod?"1.0":"0.0",s=r?o:"getX(".concat($Ae(i,"coords",this.op),")"),u=this.outputShape[this.outputShape.length-1],c="",h="";r?(c=a?"end != ".concat(u-1):"end != 0",h=a?"end + 1":"end - 1"):(c=a?"end + pow2 < ".concat(u):"end >= pow2",h=a?"end + pow2":"end - pow2"),this.userCode="\n      void main() {\n        ".concat(hSe(i)," coords = getOutputCoords();\n        int end = ").concat(eRe(i,"coords",this.op),";\n        float val = ").concat(s,";\n        int pow2 = int(pow(2.0, index));\n        if (").concat(c,") {\n          int idx = ").concat(h,";\n          ").concat(eRe(i,"coords",this.op)," = idx;\n          val ").concat(this.op,"= getX(").concat($Ae(i,"coords",this.op),");\n        }\n        setOutput(val);\n      }\n    ")}));function $Ae(e,t,n){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".x, ").concat(t,".y");if(3===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z");if(4===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z, ").concat(t,".w");throw new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function eRe(e,t,n){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".y");if(3===e)return"".concat(t,".z");if(4===e)return"".concat(t,".w");throw new Error("Cumulative ".concat(n," for rank ").concat(e," is not yet supported"))}function tRe(e,t,n,r,a,i){var o=t.shape.length,s=$7([r],o),u=t;null!=s&&(u=rCe({inputs:{x:t},backend:n,attrs:{perm:s}}));var c=t9(1,o)[0];if(c!==o-1)throw new Error("WebGL cumprod shader expects an inner-most axis=".concat(t.shape.length-1," ")+"but got axis=".concat(r));for(var l=u.shape[c],h=EEe({inputs:{x:u},backend:n}),p=0;p<=Math.ceil(Math.log2(l))-1;p++){var f=new QAe(e,u.shape,!1,i),d=[[p]],v=h;h=n.runWebGLProgram(f,[h],h.dtype,d),n.disposeIntermediateTensorInfo(v)}if(a){var m=new QAe(e,u.shape,a,i),g=h;h=n.runWebGLProgram(m,[h],h.dtype),n.disposeIntermediateTensorInfo(g)}if(null!=s){var y=rCe({inputs:{x:h},backend:n,attrs:{perm:e9(s)}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(u),y}return h}var nRe={kernelName:u1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return tRe(jAe.Prod,a,n,i,o,s)}};var rRe={kernelName:c1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.axis,o=r.exclusive,s=r.reverse;return tRe(jAe.Sum,a,n,i,o,s)}};var aRe={kernelName:h1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.weights,o=r.size,s=r.binaryOutput;if(1===a.shape.length){var u=n.readSync(a.dataId),c=n.readSync(i.dataId),l=$Se(u,c,i.dtype,i.shape,o);return n.makeTensorInfo([o],i.dtype,l)}if(2===a.shape.length){var h=n.bufferSync(a),p=n.bufferSync(i),f=eTe(h,p,o,s);return n.makeTensorInfo(f.shape,i.dtype,f.values)}throw new Error("Error in denseBincount: input must be at most rank 2, but got rank"+"".concat(a.shape.length,"."))}},iRe=function(){function e(t,n,r){l(this,e),this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=n,this.dataFormat=r,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ".concat(this.getHeightCoordString(),";\n      int w = ").concat(this.getWidthCoordString(),";\n      int d = ").concat(this.getDepthCoordString(),";\n\n      int in_h = h / ").concat(n,";\n      int offset_h = imod(h, ").concat(n,");\n      int in_w = w / ").concat(n,";\n      int offset_w = imod(w, ").concat(n,");\n      int offset_d = (offset_h * ").concat(n," + offset_w) *\n        ").concat(this.getOutputDepthSize(),";\n      int in_d = d + offset_d;\n\n      float result = ").concat(this.getInputSamplingString(),";\n      setOutput(result);\n    }\n  ")}return p(e,[{key:"getHeightCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}},{key:"getWidthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}},{key:"getDepthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}},{key:"getOutputDepthSize",value:function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}},{key:"getInputSamplingString",value:function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}]),e}();var oRe={kernelName:p1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.blockSize,o=r.dataFormat,s=a.shape[0],u=("NHWC"===o?a.shape[1]:a.shape[2])*i,c=("NHWC"===o?a.shape[2]:a.shape[3])*i,l=("NHWC"===o?a.shape[3]:a.shape[1])/(i*i),h=new iRe("NHWC"===o?[s,u,c,l]:[s,l,u,c],i,o);return n.runWebGLProgram(h,[a],a.dtype)}},sRe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=xSe(this.outputShape.length);var o=t.filterHeight,s=t.filterWidth,u=t.outChannels/t.inChannels,c="",h="";r&&(c=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):i?"float activation(float a) {\n          float b = getLeakyreluAlphaAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),h="result = activation(result);");var p=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(c,"\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ").concat(u,";\n        int q = d2 - d1 * ").concat(u,";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ").concat(o,"; wR++) {\n          int xR = xRCorner + wR * dilations[0];\n\n          if (xR < 0 || xR >= inDims[0]) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(s,"; wC++) {\n            int xC = xCCorner + wC * dilations[1];\n\n            if (xC < 0 || xC >= inDims[1]) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ").concat(p,"\n        ").concat(h,"\n        setOutput(result);\n      }\n    ")})),uRe=p((function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];l(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=xSe(this.outputShape.length);for(var o=t.outChannels/t.inChannels,s=t.padInfo.left,u=t.strideWidth,c=t.dilationWidth,h=t.filterHeight,p=t.filterWidth,f=p,d="\n      int xR; int xC; int xCOffset;\n      vec4 wTexel; vec4 previous; vec4 final;",v=0;v<p;v++)d+="\n          vec4 xTexelC".concat(2*v,";\n          int xTexelC").concat(2*v,"Ready;\n          vec4 xTexelC").concat(2*v+1,";\n          int xTexelC").concat(2*v+1,"Ready;\n          vec4 xC").concat(v,";");d+="\n    for (int r = 0; r < ".concat(h,"; r++) {\n      ");for(var m=0;m<p;m++)d+="\n          xTexelC".concat(2*m," = vec4(0.0);\n          xTexelC").concat(2*m,"Ready = 0;\n          xTexelC").concat(2*m+1," = vec4(0.0);\n          xTexelC").concat(2*m+1,"Ready = 0;\n          xC").concat(m," = vec4(0.0);");d+="\n        xR = xRCorner + r * dilations[0];\n        if (xR >=0 && xR < inDims[0]) {\n      ";for(var g=0;g<(f+1)/2;g++){var y=2*g;if(d+="\n          xC = xCCorner + ".concat(y*c,";\n          "),1===u){if(y<p&&(s%2==1?(d+="\n                xCOffset = xC + 1;\n                if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n              "),d+=1===c&&y>0?"\n                xC".concat(y," = vec4(xTexelC").concat(y-2,".zw, xTexelC").concat(y,".xy);\n                "):"\n                  xCOffset = xC + 1 - 2;\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                    previous = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      previous.zw = vec2(0.0);\n                    }\n\n                    xC".concat(y," = vec4(previous.zw, xTexelC").concat(y,".xy);\n                  } else {\n                    xC").concat(y," = vec4(0.0, 0.0, xTexelC").concat(y,".xy);\n                  }\n                  ")):d+="\n                if (xC >= 0 && xC < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n\n                xC").concat(y," = xTexelC").concat(y,";\n                "),y+1<p)){var b=s%2==0?R$(c):c;c%2==0&&s%2==1||c%2!=0&&s%2!=1?(d+="\n                  xCOffset = xC + imod(pads[1], 2) + ".concat(b,";\n\n                  if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                    xTexelC").concat(y+1," = getX(batch, xR, xCOffset, d1);\n\n                    // Need to manually clear unused channels in case\n                    // we're reading from recycled texture.\n                    if (xCOffset + 1 >= inDims[1]) {\n                      xTexelC").concat(y+1,".zw = vec2(0.0);\n                    }\n                    xTexelC").concat(y+1,"Ready = 1;\n                  }\n                  "),d+=c>1?"\n                    xCOffset -= 2;\n                    if (xCOffset >= 0 && xCOffset < inDims[1]) {\n                     previous = getX(batch, xR, xCOffset, d1);\n                     xC".concat(y+1," = vec4(previous.zw, xTexelC").concat(y+1,".xy);\n                    } else {\n                     xC").concat(y+1," = vec4(0.0, 0.0, xTexelC").concat(y+1,".xy);\n                    }\n                    "):"\n                    xC".concat(y+1," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".xy);\n                    ")):d+=1===b?"\n                    xC".concat(y+1," = xTexelC").concat(y,";\n                    "):"\n                    xCOffset = xC + ".concat(b,";\n\n                    if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                      xTexelC").concat(y+1," = getX(batch, xR, xCOffset, d1);\n                      if (xCOffset + 1 >= inDims[1]) {\n                        xTexelC").concat(y+1,".zw = vec2(0.0);\n                      }\n                      xTexelC").concat(y+1,"Ready = 1;\n                    }\n\n                    xC").concat(y+1," = xTexelC").concat(y+1,";\n                    ")}}else y<p&&(s%2==1?(d+="\n                xCOffset = xC + 1 - strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xCOffset, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                  xTexelC").concat(y+1," = getX(batch, xR, xC + 1, d1);\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if (xC + 2 >= inDims[1]) {\n                    xTexelC").concat(y+1,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y+1,"Ready = 1;\n                }\n\n                xC").concat(y," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".zw);\n              "),y+1<p&&(d+="\n                  final = vec4(0.0);\n                  xCOffset = xC + 1 + strides[1];\n                  if(xCOffset >= 0 && xCOffset < inDims[1]) {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xC".concat(y+1," = vec4(xTexelC").concat(y+1,".xy, final.xy);\n                "))):(d+="\n                if(xC >= 0 && xC < inDims[1] && xTexelC".concat(y,"Ready == 0) {\n                  xTexelC").concat(y," = getX(batch, xR, xC, d1);\n                  if (xC + 1 >= inDims[1]) {\n                    xTexelC").concat(y,".zw = vec2(0.0);\n                  }\n                  xTexelC").concat(y,"Ready = 1;\n                }\n\n                xCOffset = xC + strides[1];\n                if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC").concat(y+1,"Ready == 0) {\n                  xTexelC").concat(y+1," = getX(batch, xR, xCOffset, d1);\n                  if (xCOffset + 1 >= inDims[1]) {\n                    xTexelC").concat(y+1,".zw = vec2(0.);\n                  }\n                  xTexelC").concat(y+1,"Ready = 1;\n                }\n\n                xC").concat(y," = vec4(\n                  xTexelC").concat(y,".xy, xTexelC").concat(y+1,".xy);\n              "),y+1<p&&(d+="\n                  xC".concat(y+1," = vec4(xTexelC").concat(y,".zw, xTexelC").concat(y+1,".zw);\n                "))));y<p&&(d+="\n            wTexel = getW(r, ".concat(y,", d1, q);\n            dotProd += xC").concat(y," * vec4(wTexel.xz, wTexel.xz);\n          "),y+1<p&&(d+="\n              wTexel = getW(r, ".concat(y+1,", d1, q);\n              dotProd += xC").concat(y+1," * vec4(wTexel.xz, wTexel.xz);\n            ")))}d+="\n    }\n  ",d+="\n      }\n    ";var x="",k="";r&&(x=a?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):i?"vec4 activation(vec4 a) {\n          vec4 b = getLeakyreluAlphaAtOutCoords();\n          ".concat(r,"\n        }"):"vec4 activation(vec4 x) {\n          ".concat(r,"\n        }"),k="result = activation(result);");var w=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),i&&this.variableNames.push("leakyreluAlpha"),this.userCode="\n      ".concat(x,"\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ").concat(o,";\n        int q = d2 - d1 * ").concat(o,";\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        //intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.\n        vec4 dotProd = vec4(0.000000000000001);\n\n        ").concat(d,"\n\n        vec4 result = dotProd - vec4(0.000000000000001);\n        ").concat(w,"\n        ").concat(k,"\n        setOutput(result);\n      }\n    ")}));var cRe={kernelName:f1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.filter,o=r.strides,s=r.pad,u=r.dilations,c=r.dimRoundingMode,l=u;null==l&&(l=[1,1]),F$(j8(o,l),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. Got strides ".concat(o," and dilations '").concat(l,"'")}));var h,p=D8(a.shape,i.shape,o,l,s,c,!0);h=k0().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels==1?new uRe(p):new sRe(p);var f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return n.runWebGLProgram(h,[a,i],"float32",f)}},lRe=p((function e(t){l(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideHeight,r=t.strideWidth,a=t.padInfo.top,i=t.padInfo.left,o=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 * ".concat(o," + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < ").concat(t.batchSize,"; b++) {\n          for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n            int xR = wR + yR * ").concat(n," - ").concat(a,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n              int xC = wC + yC * ").concat(r," - ").concat(i,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              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    ")})),hRe=p((function e(t){l(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,i=t.strideWidth,o=n-1-t.padInfo.top,s=r-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2(".concat(o,", ").concat(s,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(i,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n         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out_of_bounds = out_of_bounds || index >= ").concat(this.paramsShape[s],";\n          flattenIndex += index * ").concat(this.strides[s],";");this.userCode="\n         void main() {\n          ".concat(i," coords = getOutputCoords();\n          int flattenIndex = 0;\n          bool out_of_bounds = false;\n\n          ").concat(o,"\n\n          setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));\n        }\n      ")}));var e_e={kernelName:z1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.params,a=t.indices,i=a.shape,o=i[i.length-1],s=L$(r.shape),u=S(Mae(r,a),4),c=u[0],l=u[1],h=u[2],p=u[3],f=KEe({inputs:{x:a},backend:n,attrs:{shape:[l,o]}}),d=KEe({inputs:{x:r},backend:n,attrs:{shape:[L$(r.shape)/h,h]}});if(n.shouldExecuteOnCPU([r,a])||"string"===r.dtype){var v=n.readSync(a.dataId),m=n.bufferSync(r),g=cTe(v,m,r.dtype,l,o,h,p,r.shape,s);return n.makeTensorInfo(c,r.dtype,g.values)}var y=new $Re(o,p,[l,h],r.shape),b=n.runWebGLProgram(y,[d,f],d.dtype),x=KEe({inputs:{x:b},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(b),x}},t_e=p((function e(t,n){l(this,e),this.variableNames=["A","indices"],this.outputShape=n,this.rank=n.length;var r=hSe(this.rank),a=function(e,t){for(var n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[],a=0;a<e.length;a++)2===a?r.push("index"):r.push("".concat(n[a]));return r.join()}(t);this.userCode="\n      void main() {\n        ".concat(r," resRC = getOutputCoords();\n        int index = int(getIndices(resRC.x, resRC.z));\n        float inBounds = (index >= 0) && (index < ").concat(t[2],") ? 1.0 : 0.0;\n        setOutput(inBounds * getA(").concat(a,"));\n      }\n    ")}));function n_e(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.indices,o=r.axis,s=r.batchDims,u=j$(o,a.shape)[0];if(k0().get("DEBUG"))for(var c=n.readSync(i.dataId),l=a.shape[u],h=function(){var e=c[p];F$(e<=l-1&&e>=0,(function(){return"GatherV2: the index value ".concat(e," is not in [0, ").concat(l-1,"]")}))},p=0;p<c.length;++p)h();var f=roe(a,i,u,s),d=L$(i.shape),v=[],m=KEe({inputs:{x:a},backend:n,attrs:{shape:[f.batchSize,f.outerSize,f.dimSize,f.sliceSize]}}),g=KEe({inputs:{x:i},backend:n,attrs:{shape:[f.batchSize,d/f.batchSize]}});v.push(m),v.push(g);var y=[f.batchSize,f.outerSize,d/f.batchSize,f.sliceSize];if(n.shouldExecuteOnCPU([a,i])||"string"===a.dtype){var b=n.bufferSync(g),x=n.bufferSync(m),k=lTe(x,b,y);return v.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.makeTensorInfo(f.outputShape,k.dtype,k.values)}var w=new t_e(m.shape,y),I=n.runWebGLProgram(w,[m,g],m.dtype);v.push(I);var N=KEe({inputs:{x:I},backend:n,attrs:{shape:f.outputShape}});return v.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),N}var r_e={kernelName:L1,backendName:"webgl",kernelFunc:n_e},a_e=PEe({opSnippet:"return float(a > b);",packedOpSnippet:"\n  return vec4(greaterThan(a, b));\n",cpuKernelImpl:hTe,dtype:"bool"}),i_e={kernelName:P1,backendName:"webgl",kernelFunc:a_e},o_e=PEe({opSnippet:"return float(a >= b);",packedOpSnippet:"\n  return vec4(greaterThanEqual(a, b));\n",dtype:"bool",cpuKernelImpl:pTe}),s_e={kernelName:B1,backendName:"webgl",kernelFunc:o_e};var u_e={kernelName:U1,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return DRe(t.input,!0,n)}},c_e=zEe({opSnippet:"return float(!isnan(x) && !isinf(x));",dtype:"bool"}),l_e={kernelName:G1,backendName:"webgl",kernelFunc:c_e},h_e=zEe({opSnippet:"return float(isinf(x));",dtype:"bool"}),p_e={kernelName:j1,backendName:"webgl",kernelFunc:h_e},f_e=zEe({opSnippet:"return float(isnan(x));",dtype:"bool"}),d_e={kernelName:H1,backendName:"webgl",kernelFunc:f_e},v_e=PEe({opSnippet:"return float(a < b);",packedOpSnippet:"\n  return vec4(lessThan(a, b));\n",cpuKernelImpl:fTe,dtype:"bool"}),m_e={kernelName:K1,backendName:"webgl",kernelFunc:v_e},g_e=PEe({opSnippet:"return float(a <= b);",packedOpSnippet:"\n  return vec4(lessThanEqual(a, b));\n",cpuKernelImpl:dTe,dtype:"bool"}),y_e={kernelName:X1,backendName:"webgl",kernelFunc:g_e};var b_e={kernelName:Y1,backendName:"webgl",kernelFunc:function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.num,o=vTe(r,a,i);return t.makeTensorInfo([o.length],"float32",o)}},x_e=zEe({opSnippet:"if (isnan(x)) return x;\n  return x < 0.0 ? 0./0. : log(x);\n",packedOpSnippet:"\n  vec4 result = log(x);\n  bvec4 isNaN = isnan(x);\n  result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);\n  result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);\n  result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);\n  result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);\n  return result;\n",cpuKernelImpl:mTe}),k_e={kernelName:J1,backendName:"webgl",kernelFunc:x_e},w_e=zEe({opSnippet:"if (isnan(x)) return x;\n  return log(1.0 + x);\n"}),I_e={kernelName:Z1,backendName:"webgl",kernelFunc:w_e},N_e=PEe({opSnippet:"return float(a >= 1.0 && b >= 1.0);",packedOpSnippet:"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n",dtype:"bool"}),S_e={kernelName:Q1,backendName:"webgl",kernelFunc:N_e},T_e=zEe({opSnippet:"return float(!(x >= 1.0));"}),E_e={kernelName:$1,backendName:"webgl",kernelFunc:T_e},C_e=PEe({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n",dtype:"bool"}),A_e={kernelName:e2,backendName:"webgl",kernelFunc:C_e},R_e=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["x"],this.outputShape=[];var o,s=n,u=t[3]-1;this.outputShape=t;var c="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(c,")"):1===i?"1.0/(".concat(c,")"):"exp(log(".concat(c,") * float(-").concat(i,"));"),this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[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 = -".concat(s,"; j <= ").concat(s,"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ").concat(u,") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ").concat(o,";\n        setOutput(val);\n      }\n    ")})),__e=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var o,s=n,u=t[3]-1;this.outputShape=t;var c="float(".concat(r,") + float(").concat(a,") * sum");o=.5===i?"inversesqrt(".concat(c,")"):1===i?"1.0/(".concat(c,")"):"exp(log(".concat(c,") * float(-").concat(i,"));"),this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ".concat(this.outputShape[3],";\n        bool hasNextRow = c < ").concat(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 - ").concat(s,";\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 = - ").concat(s,"; j <= ").concat(s,"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(").concat(u,"));\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 * ").concat(o,";\n        setOutput(result);\n      }\n    ")})),O_e={kernelName:n2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.depthRadius,o=r.bias,s=r.alpha,u=r.beta,c=k0().getBool("WEBGL_PACK_NORMALIZATION")?new __e(a.shape,i,o,s,u):new R_e(a.shape,i,o,s,u);return n.runWebGLProgram(c,[a],a.dtype)}},F_e=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=n,this.bias=r,this.alpha=a,this.beta=i,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < ".concat(this.depth,"; ++d) {\n          int depthBegin = int(max(0.0, float(d - ").concat(n,")));\n          int depthEnd = int(min(float(").concat(this.depth,"),\n              float(d + ").concat(n," + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ").concat(this.depth,";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float(").concat(a,") * norm + float(").concat(r,");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float(").concat(a,")\n                * float(").concat(i,")\n                * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * ").concat(i,");\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    ")})),D_e={kernelName:r2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=t.y,o=t.dy,s=r.depthRadius,u=r.bias,c=r.alpha,l=r.beta,h=new F_e(a.shape,s,u,c,l);return n.runWebGLProgram(h,[a,i,o],a.dtype)}};function M_e(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.reductionIndices,o=r.keepDims,s=a.shape.length,u=j$(i,a.shape),c=u,l=$7(c,s),h=null!=l,p=n.shouldExecuteOnCPU([a]),f=a;if(h){if(p){for(var d=n.texData.get(f.dataId).values,v=new Array(s),m=0;m<v.length;m++)v[m]=a.shape[l[m]];var g=HTe(d,a.shape,a.dtype,l,v);f=n.makeTensorInfo(v,a.dtype),n.texData.get(f.dataId).values=g}else f=eCe(a,l,n);c=t9(c.length,s)}Q7("max",c,s);var y,b=S(J7(f.shape,c),2),x=b[0],k=b[1],w=x;if(o&&(w=Z7(x,u)),p){var I=n.texData.get(f.dataId).values,N=gTe(I,L$(k),w,a.dtype);y=n.makeTensorInfo(w,a.dtype),n.texData.get(y.dataId).values=N}else y=function(e,t,n,r){var a=L$(t),i=KEe({inputs:{x:e},attrs:{shape:[L$(e.shape)/a,a]},backend:r}),o=ZEe(i,e.dtype,"max",r),s=KEe({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(f,k,w,n);return h&&n.disposeIntermediateTensorInfo(f),y}var L_e={kernelName:a2,backendName:"webgl",kernelFunc:M_e},z_e=PEe({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",packedOpSnippet:"\n  vec4 result = vec4(max(a, b));\n  bvec4 isNaNA = isnan(a);\n  bvec4 isNaNB = isnan(b);\n  bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);\n  \n  result.r = isNaN.r ? NAN : result.r;\n  result.g = isNaN.g ? NAN : result.g;\n  result.b = isNaN.b ? NAN : result.b;\n  result.a = isNaN.a ? NAN : result.a;\n\n  return result;\n",cpuKernelImpl:yTe}),P_e={kernelName:i2,backendName:"webgl",kernelFunc:z_e};var B_e={kernelName:o2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;zNe(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;F$(j8(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. "+"Got strides ".concat(o," and dilations '").concat(1,"'")}));var c=O8(a.shape,i,o,1,s,u);if(1===c.filterWidth&&1===c.filterHeight&&P$(c.inShape,c.outShape))return EEe({inputs:{x:a},backend:n});var l=new PCe(c,"max",!1);return n.runWebGLProgram(l,[a],a.dtype)}};var W_e={kernelName:u2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.filterSize,o=r.strides,s=r.pad,u=r.dataFormat,c=r.dimRoundingMode,l=F8(a.shape,i,o,[1,1,1],s,c,u),h=new BCe(l,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}},U_e=p((function e(t){l(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideHeight,r=t.strideWidth,a=t.dilationHeight,i=t.effectiveFilterHeight,o=t.effectiveFilterWidth,s=i-1-t.padInfo.top,u=o-1-t.padInfo.left,c=i*o-1;this.userCode="\n      const ivec2 pads = ivec2(".concat(s,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ").concat(i,";\n          wR += ").concat(a,") {\n          float dyR = float(dyRCorner + wR) / ").concat(n,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(o,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(r,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ").concat(c," - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ").concat(o," + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")})),V_e=p((function e(t){l(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,i=t.dilationDepth,o=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterDepth,c=t.effectiveFilterHeight,h=t.effectiveFilterWidth,p=u-1-t.padInfo.front,f=c-1-t.padInfo.top,d=h-1-t.padInfo.left,v=u*c*h-1;this.userCode="\n      const ivec3 pads = ivec3(".concat(p,", ").concat(f,", ").concat(d,");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ").concat(u,";\n           wD += ").concat(i,") {\n          float dyD = float(dyDCorner + wD) / ").concat(n,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(c,";\n              wR += ").concat(o,") {\n            float dyR = float(dyRCorner + wR) / ").concat(r,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(h,";\n                wC += ").concat(s,") {\n              float dyC = float(dyCCorner + wC) / ").concat(a,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = ").concat(v," -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * ").concat(c," * ").concat(h," +\n                  wR * ").concat(h," + wC;\n              float mask = float(maxPosValue == curPosValue ? 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Call tf.nonMaxSuppressionAsync() instead");var t=e.inputs,n=e.backend,r=e.attrs,a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma,l=n.readSync(a.dataId),h=n.readSync(i.dataId),p=vOe(l,h,o,s,u,c),f=p.selectedIndices,d=p.selectedScores;return[n.makeTensorInfo([f.length],"int32",new Int32Array(f)),n.makeTensorInfo([d.length],"float32",new Float32Array(d))]}},gOe=p((function e(t,n,r,a){l(this,e),this.variableNames=["indices"],this.outputShape=[t,n],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(".concat(a,"), float(").concat(r,"),\n                      float(index == coords.y)));\n      }\n    ")})),yOe={kernelName:N2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=r.dtype,o=r.depth,s=r.onValue,u=r.offValue,c=L$(a.shape),l=new gOe(c,o,s,u),h=KEe({inputs:{x:a},backend:n,attrs:{shape:[c]}}),p=n.runWebGLProgram(l,[h],i);n.disposeIntermediateTensorInfo(h);var f=KEe({inputs:{x:p},backend:n,attrs:{shape:[].concat(T(a.shape),[o])}});return n.disposeIntermediateTensorInfo(p),f}};function bOe(e){var t=e.inputs,n=e.backend,r=t.x;if("complex64"===r.dtype){var a=sAe({inputs:{input:r},backend:n}),i=bOe({inputs:{x:a},backend:n}),o=wAe({inputs:{input:r},backend:n}),s=bOe({inputs:{x:o},backend:n}),u=AEe({inputs:{real:i,imag:s},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(s),u}return zRe({attrs:{shape:r.shape,dtype:r.dtype,value:"string"===r.dtype?"":0},backend:n})}var xOe={kernelName:R3,backendName:"webgl",kernelFunc:bOe};var kOe={kernelName:I2,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,a=n.x;if("string"===a.dtype)throw new Error("onesLike is not supported under string dtype");if("complex64"===a.dtype){var i=sAe({inputs:{input:a},backend:r}),o=e({inputs:{x:i},backend:r}),s=wAe({inputs:{input:a},backend:r}),u=bOe({inputs:{x:s},backend:r}),c=AEe({inputs:{real:o,imag:u},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(s),r.disposeIntermediateTensorInfo(u),c}return zRe({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:r})}};var wOe={kernelName:S2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.axis;if(1===t.length)return CRe({inputs:{input:t[0]},backend:n,attrs:{dim:r}});var a=t[0].shape,i=t[0].dtype;t.forEach((function(e){D$(a,e.shape,"All tensors passed to stack must have matching shapes"),F$(i===e.dtype,(function(){return"All tensors passed to stack must have matching dtypes"}))}));var o=[],s=SAe({inputs:t.map((function(e){var t=CRe({inputs:{input:e},backend:n,attrs:{dim:r}});return o.push(t),t})),backend:n,attrs:{axis:r}});return o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),s}},IOe=p((function e(t,n,r){l(this,e),this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,i=hSe(a),o=n.map((function(e){return e[0]})).join(","),s=n.map((function(e,n){return e[0]+t[n]})).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);this.userCode=1!==a?"\n      ".concat(i," start = ").concat(i,"(").concat(o,");\n      ").concat(i," end = ").concat(i,"(").concat(s,");\n\n      void main() {\n        ").concat(i," outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(value);\n        } else {\n          ").concat(i," coords = outC - start;\n          setOutput(getX(").concat(u,"));\n        }\n      }\n    "):"\n        int start = ".concat(o,";\n        int end = ").concat(s,";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(value);\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      ")})),NOe=p((function e(t,n,r){l(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));for(var a=t.length,i=hSe(a),o=n.map((function(e){return e[0]})).join(","),s=n.map((function(e,n){return e[0]+t[n]})).join(","),u=XTe("rc",a),c=XTe("source",a),h="".concat(u[a-1]," < ").concat(this.outputShape[a-1]),p=1===a?"source":"vec2(".concat(c.slice(-2).join(),")"),f=["".concat(i," rc = outputLoc;"),"".concat(u[a-1]," += 1;\n       if(").concat(h,") {\n      "),1===a?"":"}\n       rc = outputLoc;\n       ".concat(u[a-2]," += 1;\n       if(").concat(u[a-2]," < ").concat(this.outputShape[a-2],") {"),1===a?"":"  ".concat(u[a-1]," += 1;\n         if(").concat(h,") {")],d=1===a?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",v="",m=0,g=1===a?2:4;m<g;m++)v+="\n        ".concat(f[m],"\n        if (").concat(d,") {\n          result[").concat(m,"] = float(value);\n        } else {\n          ").concat(i," source = rc - start;\n          result[").concat(m,"] = getChannel(getX(").concat(c.join(),"), ").concat(p,");\n        }\n      ");v+=1===a?"} ":"}}",this.userCode="\n      const ".concat(i," start = ").concat(i,"(").concat(o,");\n      const ").concat(i," end = ").concat(i,"(").concat(s,");\n\n      void main() {\n        ").concat(i," outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ").concat(v,"\n        setOutput(result);\n      }\n    ")})),SOe=function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.paddings,o=r.constantValue;if(0===L$(a.shape)){var s=i.map((function(e,t){return e[0]+a.shape[t]+e[1]}));return zRe({backend:n,attrs:{shape:s,value:o,dtype:a.dtype}})}var u=k0().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new NOe(a.shape,i,o):new IOe(a.shape,i,o),c=[[o]];return n.runWebGLProgram(u,[a],a.dtype,c)},TOe={kernelName:T2,backendName:"webgl",kernelFunc:SOe},EOe=PEe({opSnippet:"\n  if(a < 0.0 && floor(b) < b){\n    return NAN;\n  }\n  if (b == 0.0) {\n    return 1.0;\n  }\n  return (round(mod(b, 2.0)) != 1) ?\n      pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",packedOpSnippet:"\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  bvec4 isNaN1 = lessThan(a, vec4(0.0));\n  bvec4 isNaN2 = lessThan(floor(b), b);\n  bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);\n  \n  result.r = isNaN.r ? NAN : result.r;\n  result.g = isNaN.g ? NAN : result.g;\n  result.b = isNaN.b ? NAN : result.b;\n  result.a = isNaN.a ? NAN : result.a;\n\n  return result;\n"}),COe={kernelName:E2,backendName:"webgl",kernelFunc:EOe};var AOe={kernelName:A2,backendName:"webgl",kernelFunc:function(e){var t,n=e.inputs,r=e.backend,a=e.attrs,i=n.x,o=a.axis,s=a.keepDims,u=i.shape.length,c=[],l=j$(o,i.shape),h=l,p=$7(h,u),f=i;if(null!=p&&(f=rCe({inputs:{x:i},backend:r,attrs:{perm:p}}),h=t9(h.length,u),c.push(f)),Q7("prod",h,u),r.shouldExecuteOnCPU([f])){var d=r.texData.get(f.dataId).values,v=ITe(f.shape,f.dtype,d,h),m=v.outVals,g=v.outShape,y=v.outDtype;t=r.makeTensorInfo(g,y,m)}else{var b=S(J7(f.shape,h),2),x=b[0],k=L$(b[1]),w=KEe({inputs:{x:f},backend:r,attrs:{shape:[-1,k]}}),I=ZEe(w,p5(i.dtype),"prod",r);t=KEe({inputs:{x:I},backend:r,attrs:{shape:x}}),c.push(w),c.push(I)}if(s){c.push(t);var N=Z7(t.shape,l);t=KEe({inputs:{x:t},backend:r,attrs:{shape:N}})}return c.forEach((function(e){return r.disposeIntermediateTensorInfo(e)})),t}};var ROe={kernelName:R2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.paramsNestedSplits,i=t.paramsDenseValues,o=t.indices,s=r.outputRaggedRank,u=a.map((function(e){return n.readSync(e.dataId)})),c=a.map((function(e){return e.shape})),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=S(NTe(u,c,l,i.shape,i.dtype,h,o.shape,s),3),f=p[0],d=p[1],v=p[2],m=f.map((function(e){return n.makeTensorInfo([e.length],"int32",e)})),g=n.makeTensorInfo(v,i.dtype,d);return m.concat([g])}};var _Oe={kernelName:_2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.starts,a=t.limits,i=t.deltas,o=n.readSync(r.dataId),s=n.readSync(a.dataId),u=n.readSync(i.dataId),c=S(STe(o,r.shape,r.dtype,s,a.shape,u,i.shape),2),l=c[0],h=c[1];return[n.makeTensorInfo([l.length],"int32",l),n.makeTensorInfo([h.length],r.dtype,h)]}};var OOe={kernelName:O2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.shape,i=t.values,o=t.defaultValue,s=t.rowPartitionTensors,u=r.rowPartitionTypes,c=n.readSync(a.dataId),l=n.readSync(i.dataId),h=n.readSync(o.dataId),p=s.map((function(e){return n.readSync(e.dataId)})),f=s.map((function(e){return e.shape})),d=S(TTe(c,a.shape,l,i.shape,i.dtype,h,o.shape,p,f,u),2),v=d[0],m=d[1];return n.makeTensorInfo(v,i.dtype,m)}},FOe=function(e){var t=e.backend,n=e.attrs,r=n.start,a=n.stop,i=n.step,o=n.dtype,s=ETe(r,a,i,o);return t.makeTensorInfo([s.length],o,s)},DOe={kernelName:F2,backendName:"webgl",kernelFunc:FOe},MOe=zEe({opSnippet:"return 1.0 / x;"}),LOe={kernelName:M2,backendName:"webgl",kernelFunc:MOe},zOe=zEe({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n",packedOpSnippet:"\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),POe={kernelName:L2,backendName:"webgl",kernelFunc:zOe},BOe=zEe({opSnippet:"if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",packedOpSnippet:"\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n"}),WOe={kernelName:V2,backendName:"webgl",kernelFunc:BOe},UOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];p=i?"(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],");\n      const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    ")})),VOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r];p=i?"(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],",\n          ").concat(f[1]/d[1],");\n      const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n                                     ").concat(c,".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ").concat(h-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    ")}));var GOe={kernelName:W2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=S(r.size,2),u=s[0],c=s[1],l=k0().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new VOe(a.shape,u,c,i,o):new UOe(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],"float32")}},jOe=p((function e(t,n,r){l(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=S(n,3),i=a[1],o=a[2],s=S(t,3),u=s[1],c=s[2],h=[r&&u>1?i-1:i,r&&c>1?o-1:o],p=[r&&u>1?u-1:u,r&&c>1?c-1:c],f=h[0]/p[0],d=h[1]/p[1],v=1/f,m=1/d,g=2*Math.ceil(v)+2,y=2*Math.ceil(m)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(".concat(f,");\n        const float widthScale = float(").concat(d,");\n\n        const float invHeightScale = float(").concat(v,");\n        const float invWidthScale = float(").concat(m,");\n\n        const int winHeight = int(").concat(g,");\n        const int winWidth = int(").concat(y,");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ").concat(u,") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ").concat(c,") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ").concat(i-1,".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), ").concat(o-1,".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    ")}));var HOe={kernelName:U2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new jOe(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},qOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r],v=a?"0.5":"0.0";p=i?"max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":"vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],");\n      const vec2 inputShapeRC = vec2(").concat(u,".0, ").concat(c,".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(v,")));\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    ")})),KOe=p((function e(t,n,r,a,i){l(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=S(t,4),s=o[0],u=o[1],c=o[2],h=o[3];this.outputShape=[s,n,r,h];var p,f=[a&&n>1?u-1:u,a&&r>1?c-1:c],d=[a&&n>1?n-1:n,a&&r>1?r-1:r],v=a?"0.5":"0.0";p=i?"max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":"vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(f[0]/d[0],",\n          ").concat(f[1]/d[1],",\n          ").concat(f[1]/d[1],");\n      const vec3 inputShapeRC = vec3(").concat(u,".0, ").concat(c,".0,\n                                     ").concat(c,".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = ").concat(p,";\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec3 sourceNearestRC = ivec3(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ").concat(v,")));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ").concat(h-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,";\n\n        vec4 newValue = vec4(\n          getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),\n          hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);\n\n        setOutput(newValue);\n      }\n    ")}));var XOe={kernelName:P2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=r.alignCorners,o=r.halfPixelCenters,s=S(r.size,2),u=s[0],c=s[1],l=k0().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new KOe(a.shape,u,c,i,o):new qOe(a.shape,u,c,i,o);return n.runWebGLProgram(l,[a],a.dtype)}},YOe=p((function e(t,n,r){l(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n;var a=S(n,3),i=a[1],o=a[2],s=S(t,3),u=s[1],c=s[2],h=[r&&u>1?i-1:i,r&&c>1?o-1:o],p=[r&&u>1?u-1:u,r&&c>1?c-1:c],f=h[0]/p[0],d=h[1]/p[1],v=1/f,m=1/d,g=2*Math.ceil(v)+2,y=2*Math.ceil(m)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(".concat(f,");\n        const float widthScale = float(").concat(d,");\n\n        const float invHeightScale = float(").concat(v,");\n        const float invWidthScale = float(").concat(m,");\n\n        const int winHeight = int(").concat(g,");\n        const int winWidth = int(").concat(y,");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ").concat(u,") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ").concat(c,") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(").concat(h[0],") *\n                (float(dyR) / float(").concat(p[0],"));\n\n            float sourceFracCol =\n                float(").concat(h[1],") *\n                  (float(dyC) / float(").concat(p[1],"));\n\n            int sourceNearestRow = int(min(\n                float(int(").concat(i,") - 1),\n                ").concat(r," ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(").concat(o,") - 1),\n                ").concat(r," ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    ")}));var JOe={kernelName:B2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.images,i=t.dy,o=r.alignCorners,s=new YOe(i.shape,a.shape,o);return n.runWebGLProgram(s,[i],i.dtype)}},ZOe=p((function e(t,n){l(this,e),this.variableNames=["x"];var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));if(this.outputShape=t,1!==r){var a=t.map((function(e,r){return function(e){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - coords[").concat(e,"] - 1"):"coords[".concat(e,"]")}(r)})).join(","),i=hSe(r);this.userCode="\n      void main() {\n        ".concat(i," coords = getOutputCoords();\n        setOutput(getX(").concat(a,"));\n      }\n    ")}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(".concat(t[0]," - coord - 1));\n        }\n      ")})),QOe=p((function e(t,n){l(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));this.outputShape=t;var a=XTe("rc",r),i="".concat(a[r-1]," + 1 < ").concat(this.outputShape[r-1]),o="".concat(a[r-2]," + 1 < ").concat(this.outputShape[r-2]),s=hSe(r);function u(e){var r=t.map((function(r,a){return function(e,r){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - ").concat(r[e]," - 1"):"".concat(r[e])}(a,e)})),a=r.join(","),i=r.slice(-2).join(",");return"getChannel(getX(".concat(a,"), vec2(").concat(i,"))")}this.userCode=1===r?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(".concat(t[0]," - rc - 1),\n            ").concat(t[0]," - rc - 1);\n          if(").concat(i,"){\n              result.g = getChannel(getX(").concat(t[0]," - (rc  + 1) - 1),\n                ").concat(t[0]," - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      "):"\n        void main() {\n          ".concat(s," rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ").concat(function(e){return u(e)}(a.slice()),";\n          if(").concat(i,"){\n            result.g = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",u(e)}(a.slice()),";\n          }\n          if(").concat(o,") {\n            result.b = ").concat(function(e){return e[r-2]="("+e[r-2]+" + 1)",u(e)}(a.slice()),";\n            if(").concat(i,") {\n              result.a = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",e[r-2]="("+e[r-2]+" + 1)",u(e)}(a.slice()),";\n            }\n          }\n          setOutput(result);\n        }\n    ")}));var $Oe={kernelName:G2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dims,o=a.shape.length,s=j$(i,a.shape);if(0===o)return EEe({inputs:{x:a},backend:n});var u=k0().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new QOe(a.shape,s):new ZOe(a.shape,s);return n.runWebGLProgram(u,[a],a.dtype)}},eFe=p((function e(t,n){l(this,e),this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];var r=t[1],a=t[2];this.outputShape=t;var i="";i="number"==typeof n?"float outputValue = ".concat(n.toFixed(2),";"):"\n        vec3 fill = vec3(".concat(n.join(","),");\n        float outputValue = fill[coords[3]];"),this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n          int y = coords[1];\n          float coordXFloat = (float(x) - params[0]) * params[3] -\n            (float(y) - params[1]) * params[2];\n          float coordYFloat = (float(x) - params[0]) * params[2] +\n            (float(y) - params[1]) * params[3];\n          int coordX = int(round(coordXFloat + params[0]));\n          int coordY = int(round(coordYFloat + params[1]));\n          ".concat(i,"\n          if(coordX >= 0 && coordX < ").concat(a," && coordY >= 0 && coordY < ").concat(r,") {\n            outputValue = getImage(coords[0], coordY, coordX, coords[3]);\n          }\n          setOutput(outputValue);\n        }\n    ")})),tFe={kernelName:F3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.image,i=n.radians,o=n.fillValue,s=n.center,u=r,c=new eFe(a.shape,o),l=S(pie(s,a.shape[1],a.shape[2]),2),h=[[l[0],l[1],Math.sin(i),Math.cos(i)]];return u.runWebGLProgram(c,[a],a.dtype,h)}},nFe=zEe({opSnippet:"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n"}),rFe={kernelName:j2,backendName:"webgl",kernelFunc:nFe},aFe=zEe({opSnippet:"return inversesqrt(x);",cpuKernelImpl:CTe}),iFe={kernelName:H2,backendName:"webgl",kernelFunc:aFe},oFe=p((function e(t,n,r,a,i,o){var s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];l(this,e),this.variableNames=["updates","indices","defaultValue"],this.outputShape=o;var u=hSe(i.length),c=hSe(o.length),h="";1===r?h="i":2===r&&(h="i, j");var p="getIndices(".concat(h,")"),f="";1===a?f="i":2===a&&(f="i, coords[1]");var d="getUpdates(".concat(f,")"),v="";s&&(v="coords[0], coords[1]");var m="getDefaultValue(".concat(v,")"),g=n>1?"strides[j]":"strides";this.userCode="\n        ".concat(u," strides = ").concat(u,"(").concat(i,");\n\n        void main() {\n          ").concat(c," coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < ").concat(t,"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < ").concat(n,"; j++) {\n              int index = round(").concat(p,");\n              flattenedIndex += index * ").concat(g,";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += ").concat(d,";\n              found = true;\n            }\n          }\n          setOutput(mix(").concat(m,", sum, float(found)));\n        }\n      ")})),sFe=p((function e(t,n,r,a,i,o){var s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];l(this,e),this.variableNames=["updates","indices","defaultValue"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=o;var u=hSe(i.length),c=hSe(o.length),h="";1===r?h="i":2===r&&(h="i, j");var p="getIndices(".concat(h,")"),f="";1===a?f="i":2===a&&(f="i, coords[1]");var d="getUpdates(".concat(f,")"),v="";s&&(v="coords[0], coords[1]");var m="getDefaultValue(".concat(v,")"),g=n>1?"strides[j]":"strides",y=n>1?"strides[j + 1]":"strides";this.userCode="\n        ".concat(u," strides = ").concat(u,"(").concat(i,");\n\n        void main() {\n          ").concat(c," coords = getOutputCoords();\n          vec4 sum = vec4(0.);\n          vec4 found = vec4(0.);\n          for (int i = 0; i < ").concat(t,"; i+=2) {\n            ivec2 flattenedIndex = ivec2(0);\n            for (int j = 0; j < ").concat(n,"; j+=2) {\n              ivec4 index = round(").concat(p,");\n              flattenedIndex += index.xz * ").concat(g,";\n              if (j + 1 < ").concat(n,") {\n                flattenedIndex += index.yw * ").concat(y,";\n              }\n            }\n            if (flattenedIndex[0] == coords[0] || flattenedIndex[1] == coords[0] ||\n                flattenedIndex[0] == coords[0] + 1 || flattenedIndex[1] == coords[0] + 1) {\n              vec4 updVals = ").concat(d,";\n              if (flattenedIndex[0] == coords[0]) {\n                sum.xy += updVals.xy;\n                found.xy = vec2(1.);\n              } else if (flattenedIndex[0] == coords[0] + 1) {\n                sum.zw += updVals.xy;\n                found.zw = vec2(1.);\n              }\n              if (flattenedIndex[1] == coords[0]) {\n                sum.xy += updVals.zw;\n                found.xy = vec2(1.);\n              } else if (flattenedIndex[1] == coords[0] + 1) {\n                sum.zw += updVals.zw;\n                found.zw = vec2(1.);\n              }\n            }\n          }\n          setOutput(mix(").concat(m,", sum, found));\n        }\n      ")}));var uFe={kernelName:q2,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.indices,i=t.updates,o=r.shape,s=Jte(0,a,o),u=s.sliceRank,c=s.numUpdates,l=s.sliceSize,h=s.strides,p=s.outputSize,f=[p/l,l];if(0===p)return n.makeTensorInfo(o,a.dtype);var d,v=KEe({inputs:{x:a},backend:n,attrs:{shape:[c,u]}}),m=KEe({inputs:{x:i},backend:n,attrs:{shape:[c,l]}}),g=n.makeTensorInfo([],"float32",new Float32Array([0]));d=k0().getBool("WEBGL_PACK")?new sFe(c,u,v.shape.length,m.shape.length,h,f):new oFe(c,u,v.shape.length,m.shape.length,h,f);var y=n.runWebGLProgram(d,[m,v,g],m.dtype),b=KEe({inputs:{x:y},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(g),b}},cFe=p((function e(t,n,r,a){l(this,e),this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[t,r];var i="for (int i = 0; i < ".concat(Math.ceil(Math.log2(n+1)),"; ++i) { if (left >= right) break;"),o=2===k0().getNumber("WEBGL_VERSION")?"while (left < right) {":i,s="left"===a?"<":"<=";this.userCode="\n       int findBound(int batch, float value) {\n         int left = 0;\n         int right = numInputs;\n         int mid;\n         ".concat(o,"\n           mid = (left + right) / 2;\n           if (getSortedSequence(batch, mid) ").concat(s," value) {\n             left = mid + 1;\n           } else {\n             right = mid;\n           }\n         }\n         return right;\n       }\n\n       void main() {\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n 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A=k;A>x;A/=2){var R=I(),_=new tDe([y,A/2]),O=[[l],[null===w?1:0],[x]],F=w;w=n.runWebGLProgram(_,R,"int32",O),nDe(n,F);for(var D=x/2,M=2*D,L=D;L>=1;L/=2)N(M,L,w.shape)}var z=w;w=$Ce({inputs:{x:w},backend:n,attrs:{begin:0,size:[y,i]}}),nDe(n,z);var P=n_e({inputs:{x:b,indices:w},backend:n,attrs:{axis:1,batchDims:1}});nDe(n,b);var B=c.slice(0,-1);B.push(i),z=w,w=KEe({inputs:{x:w},attrs:{shape:B},backend:n}),nDe(n,z);var W=P;return P=KEe({inputs:{x:P},attrs:{shape:B},backend:n}),nDe(n,W),[P,w]}},iDe=p((function e(t,n,r,a,i,o){l(this,e),this.variableNames=["Image","Transforms"],this.outputShape=o;var s,u="nearest"===r?1:2;switch(a){case"constant":default:s=1;break;case"reflect":s=2;break;case"wrap":s=3;break;case"nearest":s=4}this.userCode="\n            float mapCoord(float outCoord, float len) {\n              float inCoord = outCoord;\n              if(".concat(s," == 2) {\n                if (inCoord < 0.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n      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} else {\n                    float sz = len - 1.0;\n                    inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);\n                  }\n                } else if (inCoord > len - 1.0) {\n                  if (len <= 1.0) {\n                    inCoord = 0.0;\n                  } else {\n                    float sz = len - 1.0;\n                    inCoord -= len * float(int(float(inCoord / sz)));\n                  }\n                }\n                return clamp(inCoord, 0.0, len - 1.0);\n              } else if (").concat(s," == 4) {\n                return clamp(outCoord, 0.0, len - 1.0);\n              } else {\n                return outCoord;\n              }\n            }\n\n            float readWithFillValue(int batch, int coordY, int coordX,\n              int channel) {\n              float outputValue;\n              if (0 <= coordY && coordY < ").concat(t," && 0 <= coordX && coordX < ").concat(n,") {\n                  outputValue = getImage(batch, coordY, coordX, channel);\n              } else {\n                outputValue = float(").concat(i,");\n              }\n              return outputValue;\n            }\n\n            void main() {\n              ivec4 coords = getOutputCoords();\n              float outputValue;\n              int batch = coords[0];\n              int x = coords[2];\n              int y = coords[1];\n              int channel = coords[3];\n              float xf = float(x);\n              float yf = float(y);\n              float a1 = getTransforms(batch, 0);\n              float a2 = getTransforms(batch, 1);\n              float a3 = getTransforms(batch, 2);\n              float b1 = getTransforms(batch, 3);\n              float b2 = getTransforms(batch, 4);\n              float b3 = getTransforms(batch, 5);\n              float c1 = getTransforms(batch, 6);\n              float c2 = getTransforms(batch, 7);\n              float projection = c1 * xf + c2 * yf + 1.0;\n              if (projection == 0.0) {\n                outputValue = float(").concat(i,");\n              } else {\n                float inX = (a1 * xf + a2 * yf + a3) / projection;\n                float inY = (b1 * xf + b2 * yf + b3) / projection;\n                float mapX = mapCoord(inX, float(").concat(n,"));\n                float mapY = mapCoord(inY, float(").concat(t,"));\n\n                if (").concat(u," == 1) {\n                  int coordY = int(round(mapY));\n                  int coordX = int(round(mapX));\n                  outputValue = readWithFillValue(batch, coordY, coordX,\n                    channel);\n                } else {\n                  float yFloor = floor(mapY);\n                  float xFloor = floor(mapX);\n                  float yCeil = yFloor + 1.0;\n                  float xCeil = xFloor + 1.0;\n                  float valueYFloor = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yFloor), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yFloor), int(xCeil), channel);\n                  float valueYCeil = (xCeil - mapX) *\n                  readWithFillValue(batch, int(yCeil), int(xFloor), channel) +\n                  (mapX - xFloor) *\n                  readWithFillValue(batch, int(yCeil), int(xCeil), channel);\n                  outputValue = (yCeil - mapY) * valueYFloor +\n                  (mapY - yFloor) * valueYCeil;\n                }\n              }\n              setOutput(outputValue);\n            }\n        ")}));var oDe={kernelName:S3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.image,i=t.transforms,o=r.interpolation,s=r.fillMode,u=r.fillValue,c=r.outputShape,l=S(a.shape,4),h=l[0],p=l[1],f=l[2],d=l[3],v=S(null!=c?c:[p,f],2),m=v[0],g=v[1],y=new iDe(p,f,o,s,u,[h,m,g,d]);return n.runWebGLProgram(y,[a,i],"float32")}};var sDe={kernelName:E3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=n.axis,i=t.x;zNe(i,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var o=r.readSync(i.dataId),s=qTe(o,a,i.shape,i.dtype),u=s.outputValues,c=s.outputShape,l=s.indices;return[r.makeTensorInfo(c,i.dtype,u),r.makeTensorInfo([l.length],"int32",l)]}};var uDe={kernelName:C3,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.value,i=r.axis;i<0&&(i+=a.shape.length);for(var o=a,s=o.shape.length,u=a.shape[i],c=new Array(s-1),l=0,h=0;h<s;h++)h!==i&&(c[l++]=o.shape[h]);var p=[],f=new Array(s).fill(0),d=o.shape.slice();d[i]=1;for(var v=new Array(u),m=0;m<v.length;m++){f[i]=m;var g=$Ce({inputs:{x:o},backend:n,attrs:{begin:f,size:d}}),y=KEe({inputs:{x:g},backend:n,attrs:{shape:c}});v[m]=y,p.push(g)}return p.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),v}},cDe=p((function e(t,n){l(this,e),this.variableNames=["x","segmentIds"];var r=t.windowSize,a=t.batchSize,i=t.inSize,o=t.numSegments,s=o*Math.ceil(i/r);this.outputShape=[a,s];var u=4*Math.floor(r/4),c=r%4,h="\n        sumValue += dot(values, segFilter);\n    ",p="";i%r>0&&(p="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return initializationValue;\n        }\n      "));var f="";i%r>0&&(f="\n        if (inIdx < 0 || inIdx >= ".concat(i,") {\n          return -1.0;\n        }\n      ")),this.userCode="\n      const float initializationValue = ".concat("0.0",";\n\n      float getValue(int batch, int inIdx) {\n        ").concat(p,"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        ").concat(f,"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          ").concat(o,")) * float(").concat(r,"));\n        int currentSeg = int(mod(float(outIdx), float(").concat(o,")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ").concat(u,"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          ").concat(h,"\n        }\n\n        int inIdx = inOffset + ").concat(u,";\n        if (").concat(1===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          ").concat(h,"\n        } else if (").concat(2===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          ").concat(h,"\n        } else if (").concat(3===c,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n      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