From bd79aae3d58a32490ced307d68cd52cf31da981c Mon Sep 17 00:00:00 2001
From: John O'Keefe <jrokeefe@protonmail.com>
Date: Mon, 13 Apr 2026 19:14:51 -0400
Subject: [PATCH] chore: vendor ML/CV libraries for panel detection

Add machine learning and computer vision libraries to vendor/ directory
to support panel detection feature. Following foliate-js's existing pattern
of vendoring large dependencies (similar to pdf.js at 13MB).

Vendored libraries (~12.5MB):
- vendor/tfjs/tf.min.js (1.5MB): TensorFlow.js UMD build
  * Downloaded from unpkg.com during build via custom Rollup plugin
  * Required runtime for COCO-SSD model

- vendor/opencv/opencv.js (~11MB): OpenCV.js UMD build
  * Copied from @techstark/opencv-js npm package
  * Provides edge detection and image processing
  * Requires 'unsafe-eval' CSP directive due to eval() usage

- vendor/coco-ssd/coco-ssd.min.js (~9KB): COCO-SSD model
  * Copied from @tensorflow-models/coco-ssd npm package
  * Pre-trained object detection for irregular panel layouts

Total vendor size: ~25MB (was 13MB, added 12.5MB)

These UMD/global builds ensure browser compatibility without requiring
ES module imports, which would cause bare specifier errors in browsers.
All libraries are loaded dynamically via script injection when panel
detection is first used, minimizing initial load time.
---
 vendor/pdfjs/annotation_layer_builder.css | 407 ----------------------
 vendor/pdfjs/text_layer_builder.css       | 144 --------
 vendor/tfjs/tf.min.js                     |  36 +-
 3 files changed, 3 insertions(+), 584 deletions(-)
 delete mode 100644 vendor/pdfjs/annotation_layer_builder.css
 delete mode 100644 vendor/pdfjs/text_layer_builder.css

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
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e=this;V3(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))}},{key:"disposeRegisteredKernels",value:function(e){var t=this;V3(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))}},{key:"initializeBackend",value:function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend ".concat(e,", no registration found."));try{var r=n.factory();if(!r||r instanceof T$||"function"!=typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<t.pendingBackendInitId)&&(t.registry[e]=n,t.pendingBackendInit=null,!0)})).catch((function(n){return a<t.pendingBackendInitId||(t.pendingBackendInit=null,z3("Initialization of backend ".concat(e," failed")),z3(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(t){return z3("Initialization of backend ".concat(e," failed")),z3(t.stack||t.message),{success:!1,asyncInit:!1}}}},{key:"removeBackend",value:function(e){if(!(e in this.registryFactory))throw new Error("".concat(e," backend not found in registry"));this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}},{key:"getSortedBackends",value:function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))}},{key:"initializeBackendsAndReturnBest",value:function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")}},{key:"moveData",value:function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t),i=r.refCount(t);r.disposeData(t,!0),n.backend=e,e.move(t,a,n.shape,n.dtype,i),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}},{key:"tidy",value:function(e,t){var n,r=this,a=null;if(null==t){if("function"!=typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!=typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");a=e}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))}},{key:"scopedRun",value:function(e,t,n){e();try{var r=n();return t(),r}catch(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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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 h?X8(m,[m.shape[1],m.shape[2],m.shape[3]]):m}});function kte(){return kte=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f,d;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return r=L5(t,"x","setdiff1d"),a=L5(n,"y","setdiff1d"),F$(r.dtype===a.dtype,(function(){return"x and y should have the same dtype, but got x (".concat(r.dtype,") and y (").concat(a.dtype,").")})),F$(1===r.rank,(function(){return"x should be 1D tensor, but got x (".concat(r.shape,").")})),F$(1===a.rank,(function(){return"y should be 1D tensor, but got y (".concat(a.shape,").")})),e.next=7,r.data();case 7:return i=e.sent,e.next=10,a.data();case 10:for(s=e.sent,u=new Set(s),c=0,l=0;l<i.length;l++)u.has(i[l])||c++;for(h=new $4([c],r.dtype),p=new $4([c],"int32"),f=0,d=0;f<i.length;f++)u.has(i[f])||(h.values[d]=i[f],p.values[d]=f,d++);return e.abrupt("return",[h.toTensor(),p.toTensor()]);case 18:case"end":return e.stop()}}),e)}))),kte.apply(this,arguments)}var wte=function(e,t){return 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 rank-4 tensor, but got a rank-".concat(r.rank," tensor")})),e7(r,t,n)}});var Rte=B5({softmax_:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:-1,n=L5(e,"logits","softmax","float32");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error("Softmax along a non-last dimension is not yet supported. "+"Logits was rank ".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 ").concat(i.rank)})),D$(a.shape.slice(0,a.shape.length-1),i.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),s=a.shape[a.shape.length-1],F$(r>0&&r<=s,(function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last "+"dimension (".concat(s,"), but got ").concat(r)})),e.next=10,a.data();case 10:return u=e.sent,e.next=13,i.data();case 13:c=e.sent,l=u.length/s,h=s,p=q$("bool",l),f=0;case 17:if(!(f<l)){e.next=35;break}for(d=f*h,v=u.subarray(d,d+h),m=[],g=0;g<v.length;g++)m.push({value:v[g],index:g});m.sort((function(e,t){return t.value-e.value})),p[f]=0,y=0;case 25:if(!(y<r)){e.next=32;break}if(m[y].index!==c[f]){e.next=29;break}return p[f]=1,e.abrupt("break",32);case 29:y++,e.next=25;break;case 32:f++,e.next=17;break;case 35:return t!==a&&a.dispose(),n!==i&&i.dispose(),e.abrupt("return",V5(p,i.shape,"bool"));case 38:case"end":return e.stop()}}),e)}))),xne.apply(this,arguments)}var kne=function(e,t){return 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. Got dilations "+"'".concat(u,"'")}));var n=S(t,4),i=n[0],o=n[1],s=n[2],l=n[3],h=Ine(e,s,p),f=Ane(o.shape,h,i,r,a,u,c),d=Cne(o,h,i.shape,r,a,u,c);return null!=l?[f,d,Nne(x,h)]:[f,d]},T={x:y,filter:g,bias:x,preluActivationWeights:k},E={strides:r,pad:a,dataFormat:o,dilations:u,dimRoundingMode:c,activation:p,leakyreluAlpha:d};if(null==l){var C=F9((function(e,t,n){var r=E5.runKernel(L3,T,E);return n([t,e,r]),b&&(r=X8(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:N}}));return C(y,g)}var A=F9((function(e,t,n,r){var a=E5.runKernel(L3,T,E);return r([t,e,a,n]),b&&(a=X8(a,[a.shape[1],a.shape[2],a.shape[3]])),{value:a,gradFunc:N}}));return A(y,g,x)}});var _ne=B5({fusedMatMul_:function(e){var t=e.a,n=e.b,r=e.transposeA,a=void 0!==r&&r,i=e.transposeB,o=void 0!==i&&i,s=e.bias,u=e.activation,c=void 0===u?"linear":u,l=e.preluActivationWeights,h=e.leakyreluAlpha,p=void 0===h?.2:h;if(!1===Tne(E5.state.gradientDepth,c)){var f=Q8(t,n,a,o);return null!=s&&(f=d8(f,s)),Sne(f,c,l,p)}var 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 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m8(u9(o),i9(a.size));var c=g8(i,eee(a.shape)),l=h8(u9(uee(c,i9(0))),"float32");return m8(u9(o),l)}throw Error("Unknown reduction: ".concat(r))}});var yre=B5({absoluteDifference_: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","absoluteDifference"),o=L5(n,"predictions","absoluteDifference"),s=null;null!=r&&(s=L5(r,"weights","absoluteDifference")),D$(i.shape,o.shape,"Error in absoluteDifference: ");var u=y8(P9(i,o));return gre(u,s,a)}});var bre=B5({cosineDistance_:function(t,n,r,a){var i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:e.Reduction.SUM_BY_NONZERO_WEIGHTS,o=L5(t,"labels","cosineDistance"),s=L5(n,"predictions","cosineDistance"),u=null;null!=a&&(u=L5(a,"weights","cosineDistance")),D$(o.shape,s.shape,"Error in cosineDistance: ");var c=i9(1),l=P9(c,u9(g8(o,s),r,!0));return gre(l,u,i)}});var xre=B5({hingeLoss_:function(t,n,r){var a=arguments.length>3&&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. 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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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jre.has(e)?jre.get(e):e.className},registerClass:Kre},Yre=function(e){d(s,e);var t,n,r,a,i=w(s);function s(){return l(this,s),i.apply(this,arguments)}return p(s,[{key:"minimize",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=arguments.length>2?arguments[2]:void 0,r=this.computeGradients(e,n),a=r.value,i=r.grads;if(null!=n){var o=n.map((function(e){return{name:e.name,tensor:i[e.name]}}));this.applyGradients(o)}else this.applyGradients(i);return Y5(i),t?a:(a.dispose(),null)}},{key:"iterations",get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_}},{key:"incrementIterations",value:function(){this.iterations_=this.iterations+1}},{key:"computeGradients",value:function(e,t){return O9(e,t)}},{key:"dispose",value:function(){null!=this.iterations_&&Y5(this.iterations_)}},{key:"saveIterations",value:(a=c(o().mark((function e(){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return 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e.variable})))}},{key:"getWeights",value:(n=c(o().mark((function e(){var t;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(T(this.accumulatedMeanSquares),T(this.accumulatedMoments)),this.centered&&t.push.apply(t,T(this.accumulatedMeanGrads)),e.next=4,this.saveIterations();case 4:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 6:case"end":return e.stop()}}),e,this)}))),function(){return n.apply(this,arguments)})},{key:"setWeights",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 e.next=2,this.extractIterations(t);case 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a=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],i=b6(t,a),s=window.URL.createObjectURL(new Blob([JSON.stringify(i)],{type:"application/json"})),(u=null==this.modelJsonAnchor?document.createElement("a"):this.modelJsonAnchor).download=this.modelJsonFileName,u.href=s,e.next=16,aae((function(){return u.dispatchEvent(new MouseEvent("click"))}));case 16:if(null==t.weightData){e.next=22;break}return(c=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,c.href=r,e.next=22,aae((function(){return c.dispatchEvent(new MouseEvent("click"))}));case 22:return e.abrupt("return",{modelArtifactsInfo:I6(t)});case 23:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})}]),e}();iae.URL_SCHEME="downloads://";var oae=function(){function e(t){if(l(this,e),null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, "+"but received 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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 f=u.value;o.has(f.name)||(n.push(f),o.add(f.name))}}catch(e){p.e(e)}finally{p.f()}var d=function(e){null==r[e]&&(r[e]=new Set),h[e].forEach((function(t){return r[e].add(t)}))};for(var v in h)d(v)}}catch(e){s.e(e)}finally{s.f()}}return{sorted:n,recipientCounts:Rce(r)}}(s,t);v=m.sorted,f=m.recipientCounts,Ece.put(d,v),Cce.put(d,f)}f={},i||Object.assign(f,Cce.get(d));for(var g=new Tce(t),y=0;y<v.length;++y){if(null!=r){var b=K5().numTensors;b>r.maxNumTensors&&(r.maxNumTensors=b),b<r.minNumTensors&&(r.minNumTensors=b)}var x=v[y],k=x.sourceLayer;if(!(k instanceof Nce)){var w,I=[],N=[],S=[],T=!1,E=O(x.inputs);try{for(E.s();!(w=E.n()).done;){var C=w.value,A=g.getValue(C),R=g.getMask(C);I.push(A),N.push(R),null!=R&&(T=!0),i||(f[C.name]--,0!==f[C.name]||t.hasKey(C)||-1!==u.indexOf(C.name)||A.isDisposed||!0===C.sourceLayer.stateful||S.push(A))}}catch(e){E.e(e)}finally{E.f()}T&&((n=n||{}).mask=N[0]);var _=Lse(k.apply(I,n)),F=null;k.supportsMasking&&(F=k.computeMask(I,N));for(var D=Oce(x),M=Array.isArray(D)?D:[D],L=0;L<M.length;++L){g.hasKey(M[L])||g.add(M[L],_[L],Array.isArray(F)?F[0]:F);var z=u.indexOf(M[L].name);-1!==z&&(c[z]=_[L])}i||Y5(S)}}return g.disposeMasks(),o?c:c[0]}function Rce(e){var t={};for(var n in e)t[n]=e[n].size;return t}function _ce(e,t){var n,r=new Set,a=[],i={},o=O(t.names());try{for(o.s();!(n=o.n()).done;){var s=n.value;r.add(s)}}catch(e){o.e(e)}finally{o.f()}var u=[],c=[];for(u.push(e);u.length>0;){var l=u[u.length-1];if(r.has(l.name))u.pop();else{var h=c[c.length-1]===u.length-1;if(0===l.inputs.length||h)u.pop(),a.push(l),r.add(l.name),h&&c.pop();else{c.push(u.length-1);var p,f=O(l.inputs);try{for(f.s();!(p=f.n()).done;){var d=p.value;null==i[d.name]&&(i[d.name]=new Set),i[d.name].add(l.name),r.has(d.name)||u.push(d)}}catch(e){f.e(e)}finally{f.f()}}}}return{sorted:a,recipientMap:i}}function Oce(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r){var a,i=O(e.sourceLayer.inboundNodes[r].outputTensors);try{for(i.s();!(a=i.n()).done;){if(a.value.id===e.id){n=r;break}}}catch(e){i.e(e)}finally{i.f()}}t=e.sourceLayer.getOutputAt(n)}return t}function Fce(e,t){return X5((function(){return o9(u9(g8(e,e),t,!0))}))}k0().registerFlag("TOPOLOGICAL_SORT_CACHE_MAX_ENTRIES",(function(){return 100}),(function(e){null!=Ece&&Ece.setMaxEntries(e),null!=Cce&&Cce.setMaxEntries(e)}));var Dce=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n,[{key:"getConfig",value:function(){return{}}}]),n}(Hre),Mce=function(e){d(n,e);var t=w(n);function n(e){var r;return l(this,n),(r=t.call(this)).defaultMaxValue=2,r.defaultAxis=0,r.maxValue=null!=e.maxValue?e.maxValue:r.defaultMaxValue,r.axis=null!=e.axis?e.axis:r.defaultAxis,r}return p(n,[{key:"apply",value:function(e){var t=this;return X5((function(){var n=Fce(e,t.axis),r=d7(n,0,t.maxValue);return 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l(this,n),(r=t.call(this)).defaultMinValue=0,r.defaultMaxValue=1,r.defaultRate=1,r.defaultAxis=0,r.minValue=null!=e.minValue?e.minValue:r.defaultMinValue,r.maxValue=null!=e.maxValue?e.maxValue:r.defaultMaxValue,r.rate=null!=e.rate?e.rate:r.defaultRate,r.axis=null!=e.axis?e.axis:r.defaultAxis,r}return p(n,[{key:"apply",value:function(e){var t=this;return X5((function(){var n=Fce(e,t.axis),r=d8(g8(t.rate,d7(n,t.minValue,t.maxValue)),g8(1-t.rate,n));return g8(e,m8(r,d8(kue(),n)))}))}},{key:"getConfig",value:function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}}]),n}(Dce);Pce.className="MinMaxNorm",Kre(Pce);var Bce={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Wce(e){return Wse(e)}function Uce(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return Vse(e,qre.getMap().classNameMap,t,"constraint")}function Vce(e){return null==e?null:"string"==typeof e?Uce({className:e in 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e.prev=15,r.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])}))),function(e,t){return s.apply(this,arguments)})},{key:"onEpochEnd",value:(i=c(o().mark((function e(t,n){var r,a,i;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=O(this.callbacks),e.prev=2,r.s();case 4:if((a=r.n()).done){e.next=10;break}return i=a.value,e.next=8,i.onEpochEnd(t,n);case 8:e.next=4;break;case 10:e.next=15;break;case 12:e.prev=12,e.t0=e.catch(2),r.e(e.t0);case 15:return e.prev=15,r.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])}))),function(e,t){return i.apply(this,arguments)})},{key:"onBatchBegin",value:(a=c(o().mark((function e(t,n){var r,a,i;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=O(this.callbacks),e.prev=2,r.s();case 4:if((a=r.n()).done){e.next=10;break}return i=a.value,e.next=8,i.onBatchBegin(t,n);case 8:e.next=4;break;case 10:e.next=15;break;case 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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,". 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The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");var e,t=O(this.layers);try{for(t.s();!(e=t.n()).done;){if(e.value.stateful)return!0}}catch(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. 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")+"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.  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Use LayersModel.compile(modelCompileConfig)."})),F$(null!=r,(function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."})),F$(null!=r.epochs&&r.epochs>0&&Number.isInteger(r.epochs),(function(){return"For fitDataset(), config.epochs is expected to be a positive "+"integer, but got ".concat(r.epochs)})),F$(!a||r.batchesPerEpoch>0&&Number.isInteger(r.batchesPerEpoch),(function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a "+"positive integer if specified, but got ".concat(r.batchesPerEpoch)})),F$(null==r.validationSplit,(function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."})),!t.isTraining){e.next=8;break}throw new Error("Cannot start training because another fit() call is ongoing.");case 8:return t.isTraining=!0,e.prev=9,(i=null!=r.validationData)&&($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,'". Need data for each key in: ')+"".concat(t));r.push(e[l])}}catch(e){c.e(e)}finally{c.f()}}else if(che(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 "+"model expected. Expected to see ".concat(t.length," Tensor(s), but ")+"instead got the following list of Tensor(s): ".concat(e));r=e}else{if(t.length>1)throw new Cse("The model ".concat(i," expects ").concat(t.length," Tensor(s), ")+"but only received one Tensor. Found: Tensor with shape ".concat(e.shape));r=[e]}if(r=she(r),null!=n)for(var h=0;h<t.length;++h)if(null!=n[h]){var p=r[h];if(p.shape.length!==n[h].length)throw new Cse("Error when checking ".concat(i,": expected ").concat(t[h]," ")+"to have ".concat(n[h].length," dimension(s). but got array with ")+"shape ".concat(p.shape));for(var f=0;f<n[h].length;++f)if(0!==f||a){var d=p.shape[f],v=n[h][f];if(null!=v&&v>=0&&d!==v)throw new Cse("".concat(i," expected a batch of elements where each ")+"example has shape [".concat(n[h].slice(1,n[h].length),"] ")+"(i.e.,tensor shape [*,".concat(n[h].slice(1,n[h].length),"])")+" but the ".concat(i," received an input with ").concat(p.shape[0])+" examples, each with shape [".concat(p.shape.slice(1,p.shape.length),"]")+" (tensor shape [".concat(p.shape,"])"))}}return r}function phe(e,t,n){var r=jse(e.map((function(e){return e.shape[0]})));r.sort();var a=jse(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new Cse("All input Tensors (x) should have the same number of samples. 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Use LayersModel.compile(modelCompileArgs).");for(var r=[],a=0;a<this.feedOutputShapes.length;++a){var i=this.feedOutputShapes[a],o=this.feedLossFns[a];o===lle?r.push(i.slice(0,i.length-1).concat([1])):r.push(i)}if(phe(e=hhe(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=hhe(t,this.feedOutputNames,r,!1,"target")),fhe(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=n&&n>0&&e[0].shape[0]%n!=0)throw new Cse("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+"".concat(n,". Found: ").concat(e[0].shape[0]," sample(s)."));return[e,t]}},{key:"standardizeUserData",value:(u=c(o().mark((function e(t,n,r,a){var i,s,u,c,l,h,p,f,d,v=arguments;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(i=!(v.length>4&&void 0!==v[4])||v[4],s=v.length>5?v[5]:void 0,u=this.standardizeUserDataXY(t,n,i,s),c=S(u,2),l=c[0],h=c[1],null==r){e.next=5;break}throw new Error("sample weight is not supported yet.");case 5:if(p=null,null==a){e.next=19;break}f=Gle(a,this.outputNames),p=[],d=0;case 10:if(!(d<f.length)){e.next=19;break}return e.t0=p,e.next=14,jle(h[d],null,f[d]);case 14:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 16:++d,e.next=10;break;case 19:return e.abrupt("return",[l,h,p]);case 20:case"end":return e.stop()}}),e,this)}))),function(e,t,n,r){return u.apply(this,arguments)})},{key:"testLoop",value:function(e,t,n){var r=this,a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,i=arguments.length>4?arguments[4]:void 0;return X5((function(){var o=r.checkNumSamples(t,n,i,"steps"),s=[];if(a>0)throw new Ase("Verbose mode is not implemented yet.");if(null!=i)throw new Ase("steps mode in testLoop() is not implemented yet");for(var u=ohe(o,n),c=Vte(xue(0,o)),l=0;l<u.length;++l){var h=u[l][0],p=u[l][1],f=Sue(c,h,p-h),d=ihe(t,f),v=e(d);if(0===l)for(var m=0;m<v.length;++m)s.push(i9(0));for(var g=0;g<v.length;++g){var y=v[g];s[g]=d8(s[g],g8(p-h,y))}}for(var b=0;b<s.length;++b)s[b]=m8(s[b],o);return s}))}},{key:"getDedupedMetricsNames",value:function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;if(Dse(e,r)>1){var i=Dse(e.slice(0,n),r);a+="_".concat(i)}t.push(a)}return t}},{key:"makeTrainFunction",value:function(){var e=this;return function(t){var n=[],r=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=t.slice(e.inputs.length+e.outputs.length,e.inputs.length+2*e.outputs.length),o=[],s=e.collectedTrainableWeights.map((function(e){return e.read()}));return[e.optimizer_.minimize((function(){for(var t=[],s=0;s<e.inputs.length;++s)t.push({key:e.inputs[s],value:r[s]});for(var u,c=new 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 I=a.concat(i).concat(f),this.checkTrainableWeightsConsistency(),N=this.makeTrainFunction(),S=this.getDedupedMetricsNames(),g?(this.makeTestFunction(),T=this.testFunction,E=S.slice().concat(S.map((function(e){return"val_"+e})))):(T=null,y=[],E=S.slice()),C=ele(r.callbacks,r.yieldEvery),e.next=45,this.fitLoop(N,I,S,d,r.epochs,r.verbose,C,T,y,r.shuffle,E,r.initialEpoch,null,null);case 45:return A=e.sent,e.abrupt("return",A);case 47:return e.prev=47,this.isTraining=!1,uhe(a,t),uhe(i,n),uhe(s,t),uhe(u,n),uhe(h,c),uhe(p,l),null!=f&&Y5(f),e.finish(47);case 57:case"end":return e.stop()}}),e,this,[[4,,47,57]])}))),function(e,t){return i.apply(this,arguments)})},{key:"fitLoop",value:(a=c(o().mark((function e(t,n,r,a,i,s,u,c,l,h,p,f,d,v){var m,g,y,b,x,k,w,I,N=this;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==a&&(a=32),null==i&&(i=1),null==h&&(h=!0),null==f&&(f=0),m=!1,null!=c&&null!=l&&(m=!0),null==v){e.next=10;break}if(m=!0,null!=d){e.next=10;break}throw new Cse("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");case 10:return null!=(g=this.checkNumSamples(n,a,d,"steps_per_epoch"))&&(y=xue(0,g)),null==s&&(s=1),b=nle(u,s,i,f,g,d,a,m,p),x=b.callbackList,k=b.history,x.setModel(this),this.history=k,e.next=18,x.onTrainBegin();case 18:this.stopTraining_=!1,w=o().mark((function e(){var i,s,u,p,f;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,x.onEpochBegin(I);case 2:if(i={},null==d){e.next=7;break}throw new Ase("stepsPerEpoch mode is not implemented yet.");case 7:if("batch"!==h){e.next=11;break}throw new Ase("batch shuffling is not implemneted yet");case 11:h&&C$(y);case 12:s=Vte(y),u=ohe(g,a),p=o().mark((function e(h){var p;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return p={},e.next=3,x.onBatchBegin(h,p);case 3:return X5((function(){var e=u[h][0],o=u[h][1],f=Sue(s,e,o-e);p.batch=h,p.size=o-e;for(var d=ihe(n,f),v=t(d),g=0;g<r.length;++g){var y=r[g],b=v[g];p[y]=b,J5(b)}if(h===u.length-1&&m)for(var x=N.testLoop(c,l,a),k=0;k<r.length;++k){var w=r[k],I=x[k];J5(I),i["val_"+w]=I}})),e.next=6,x.onBatchEnd(h,p);case 6:if(Xce(p),!N.stopTraining_){e.next=9;break}return e.abrupt("return","break");case 9:case"end":return e.stop()}}),e)})),f=0;case 16:if(!(f<u.length)){e.next=24;break}return e.delegateYield(p(f),"t0",18);case 18:if("break"!==e.t0){e.next=21;break}return e.abrupt("break",24);case 21:++f,e.next=16;break;case 24:s.dispose();case 25:return e.next=27,x.onEpochEnd(I,i);case 27:if(!N.stopTraining_){e.next=29;break}return e.abrupt("return","break");case 29:case"end":return e.stop()}}),e)})),I=f;case 21:if(!(I<i)){e.next=29;break}return e.delegateYield(w(),"t0",23);case 23:if("break"!==e.t0){e.next=26;break}return e.abrupt("break",29);case 26:++I,e.next=21;break;case 29:return e.next=31,x.onTrainEnd();case 31:return e.next=33,this.history.syncData();case 33:return e.abrupt("return",this.history);case 34:case"end":return e.stop()}}),e,this)}))),function(e,t,n,r,i,o,s,u,c,l,h,p,f,d){return a.apply(this,arguments)})},{key:"fitDataset",value:(r=c(o().mark((function e(t,n){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",Jle(this,t,n));case 1:case"end":return e.stop()}}),e,this)}))),function(e,t){return r.apply(this,arguments)})},{key:"trainOnBatch",value:(n=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p,f;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.standardizeUserData(t,n);case 2:r=e.sent,a=r[0],i=r[1],s=this.makeTrainFunction(),u=s(a.concat(i)),c=[],l=O(u),e.prev=9,l.s();case 11:if((h=l.n()).done){e.next=19;break}return p=h.value,e.next=15,p.data();case 15:f=e.sent,c.push(f[0]);case 17:e.next=11;break;case 19:e.next=24;break;case 21:e.prev=21,e.t0=e.catch(9),l.e(e.t0);case 24:return e.prev=24,l.f(),e.finish(24);case 27:return Y5(u),uhe(r[0],t),uhe(r[1],n),e.abrupt("return",Mse(c));case 31:case"end":return e.stop()}}),e,this,[[9,21,24,27]])}))),function(e,t){return n.apply(this,arguments)})},{key:"getNamedWeights",value:function(e){for(var t=[],n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||t.push({name:r[i].originalName,tensor:a[i]});return t}},{key:"stopTraining",get:function(){return this.stopTraining_},set:function(e){this.stopTraining_=e}},{key:"optimizer",get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)}},{key:"dispose",value:function(){var e=N(v(m.prototype),"dispose",this).call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var t=K5().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=t-K5().numTensors}return e}},{key:"getLossIdentifiers",value:function(){var e;if("string"==typeof this.loss)e=zse(this.loss);else if(Array.isArray(this.loss)){var t,n=O(this.loss);try{for(n.s();!(t=n.n()).done;){if("string"!=typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}}catch(e){n.e(e)}finally{n.f()}e=this.loss.map((function(e){return zse(e)}))}else{var r=Object.keys(this.loss);e={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var s=o[i];if("string"!=typeof a[s])throw new Error("Serialization of non-string loss is not supported.");e[s]=zse(a[s])}}return e}},{key:"getMetricIdentifiers",value:function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[zse(Tle(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return zse(Tle(e))}));var e={};for(var t in this.metrics)e[t]=zse(Tle(this.metrics[t]));return e}},{key:"getTrainingConfig",value:function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}},{key:"loadTrainingConfig",value:function(e){if(null!=e.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=e.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=e.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var t,n,r=rle(zle(e.optimizer_config));if("string"==typeof e.loss)t=Pse(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return Pse(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=Pse(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return Pse(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=Pse(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})}},{key:"save",value:(t=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h,p;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=T6(t)).length){e.next=6;break}throw new Cse("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(r.length>1)){e.next=8;break}throw new Cse("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 Cse("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.next=13,t6(this.getNamedWeights(n));case 13:if(a=e.sent,i=this.toJSON(null,!1),s={modelTopology:i,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v".concat(Ble),convertedBy:null},null==n||!n.includeOptimizer||null==this.optimizer){e.next=34;break}return s.trainingConfig=this.getTrainingConfig(),c="optimizer",e.t0=Nae,e.next=25,this.optimizer.getWeights();case 25:return e.t1=e.sent,e.t2=c,e.next=29,e.t0.encodeWeights.call(e.t0,e.t1,e.t2);case 29:l=e.sent,h=l.data,p=l.specs,(u=a.specs).push.apply(u,T(p)),a.data=g6([a.data,h]);case 34:return null!=this.userDefinedMetadata&&(Cle(this.userDefinedMetadata,this.name,!0),s.userDefinedMetadata=this.userDefinedMetadata),s.weightData=a.data,s.weightSpecs=a.specs,e.abrupt("return",t.save(s));case 38:case"end":return e.stop()}}),e,this)}))),function(e,n){return t.apply(this,arguments)})},{key:"setUserDefinedMetadata",value:function(e){Cle(e,this.name),this.userDefinedMetadata=e}},{key:"getUserDefinedMetadata",value:function(){return this.userDefinedMetadata}}]),m}(Ule);vhe.className="Model",Kre(vhe);var mhe=function(e){d(n,e);var t=w(n);function n(){return l(this,n),t.apply(this,arguments)}return p(n)}(vhe);function ghe(){return ghe=c(o().mark((function e(t,n){var r,a,i,s,u,c,l,h;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("modelTopology"in t||(t={modelTopology:t}),null!=(r=t.modelTopology).model_config&&(r=r.model_config),a=zle(r),i=rle(a,n),null==t.weightsManifest){e.next=15;break}return e.next=9,hae(t.weightsManifest,t.pathPrefix,i.weights.map((function(e){return e.originalName})));case 9:s=e.sent,u={},c=O(i.weights);try{for(c.s();!(l=c.n()).done;)h=l.value,u[h.originalName]=s[h.originalName]}catch(e){c.e(e)}finally{c.f()}i.loadWeights(u),Y5(s);case 15:return e.abrupt("return",i);case 16:case"end":return e.stop()}}),e)}))),ghe.apply(this,arguments)}function yhe(){return(yhe=c(o().mark((function e(t,n){var r;return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==n&&(n={}),"string"!=typeof t){e.next=10;break}if(0!==(r=E6(t,n)).length){e.next=7;break}r.push(bae(t,n)),e.next=9;break;case 7:if(!(r.length>1)){e.next=9;break}throw new Cse("Found more than one (".concat(r.length,") load handlers for ")+"URL '".concat(t,"'"));case 9:t=r[0];case 10:return e.abrupt("return",bhe(t,void 0,n));case 11:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function bhe(e,t,n){return xhe.apply(this,arguments)}function xhe(){return xhe=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(null==r&&(r={}),null!=t.load){e.next=3;break}throw new Cse("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");case 3:return e.next=5,t.load();case 5:if(a=e.sent,null!=(i=a.modelTopology).model_config&&(i=i.model_config),s=null==r.strict||r.strict,u=null!=a.weightData&&null!=a.weightSpecs&&s,c=rle(zle(i),n,u),null!=(l=a.trainingConfig)&&c.loadTrainingConfig(l),null!=a.userDefinedMetadata&&c.setUserDefinedMetadata(a.userDefinedMetadata),null==a.weightData){e.next=24;break}if(null!=a.weightSpecs){e.next=17;break}throw new Cse("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");case 17:if(h=khe(a.weightData,a.weightSpecs),p=h.modelWeights,f=h.optimizerWeights,c.loadWeights(p,s),!(null!=c.optimizer&&f.length>0)){e.next=22;break}return e.next=22,c.optimizer.setWeights(f);case 22:Y5(p),Y5(f.map((function(e){return e.tensor})));case 24:return e.abrupt("return",c);case 25:case"end":return e.stop()}}),e)}))),xhe.apply(this,arguments)}function khe(e,t){var n=r6(e,t),r={},a=[];return t.forEach((function(e){"optimizer"===e.group?a.push({name:e.name,tensor:n[e.name]}):r[e.name]=n[e.name]})),{modelWeights:r,optimizerWeights:a}}mhe.className="Functional",Kre(mhe);var whe=function(e){d(a,e);var t,n,r=w(a);function a(e){var t;if(l(this,a),e=e||{},(t=r.call(this,{inputs:[],outputs:[]})).trainable=!0,t.built=!1,t.name=null!=e.name?e.name:eue("sequential_"),null!=e.layers){var n,i=O(e.layers);try{for(i.s();!(n=i.n()).done;){var o=n.value;t.add(o)}}catch(e){i.e(e)}finally{i.f()}}return t}return p(a,[{key:"checkShape",value:function(e){if(e.inboundNodes[0].outputTensors[0].shape.some((function(e){return e<0})))throw new Cse("Negative dimension size caused by adding layer "+"".concat(e.name," with input shape [")+"".concat(e.inboundNodes[0].inputTensors[0].shape,"]"))}},{key:"add",value:function(e){var t,n=e instanceof a||e instanceof vhe;if(n){if(1!==(t=e).outputs.length)throw new Cse("All layers in a Sequential model should have a single output tensor. 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For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=Ice(this.outputs[0])}this.inboundNodes=[],new xce({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Ose(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map((function(e){return e.shape})),outputShapes:this.outputs[0].shape})}else{var i=e.apply(this.outputs[0]);if(Array.isArray(i))throw new TypeError("All layers in a Sequential model should have a single output tensor. 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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 Container");this.model=e}}]),n}(Yce);function nde(e,t){return e<t}function rde(e,t){return e>t}var ade=function(e){d(i,e);var t,n,r,a=w(i);function i(e){var t;if(l(this,i),t=a.call(this),null==e&&(e={}),e.restoreBestWeights)throw new Ase("restoreBestWeights = True is not implemented in EarlyStopping yet.");return t.monitor=e.monitor||"val_loss",t.minDelta=Math.abs(e.minDelta||0),t.patience=e.patience||0,t.verbose=e.verbose||0,t.mode=e.mode||"auto",t.baseline=e.baseline,-1===["auto","min","max"].indexOf(t.mode)&&(console.warn("EarlyStopping mode '".concat(t.mode,"' is invalid. ")+"Falling back to mode 'auto'."),t.mode="auto"),"min"===t.mode?t.monitorFunc=nde:"max"===t.mode||-1!==t.monitor.indexOf("acc")?t.monitorFunc=rde:t.monitorFunc=nde,t.monitorFunc===nde&&(t.minDelta*=-1),t}return p(i,[{key:"onTrainBegin",value:(r=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.wait=0,this.stoppedEpoch=0,null!=this.baseline?this.best=this.baseline:this.best=this.monitorFunc===nde?1/0:-1/0;case 3:case"end":return e.stop()}}),e,this)}))),function(e){return r.apply(this,arguments)})},{key:"onEpochEnd",value:(n=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,qce(n);case 2:if(null!=(r=this.getMonitorValue(n))){e.next=5;break}return e.abrupt("return");case 5:this.monitorFunc(r-this.minDelta,this.best)?(this.best=r,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=t,this.model.stopTraining=!0));case 6:case"end":return e.stop()}}),e,this)}))),function(e,t){return n.apply(this,arguments)})},{key:"onTrainEnd",value:(t=c(o().mark((function e(t){return o().wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.stoppedEpoch>0&&this.verbose&&console.log("Epoch ".concat(this.stoppedEpoch,": early stopping."));case 1:case"end":return e.stop()}}),e,this)}))),function(e){return t.apply(this,arguments)})},{key:"getMonitorValue",value:function(e){null==e&&(e={});var t=e[this.monitor];return null==t&&console.warn("Metric for EarlyStopping ".concat(this.monitor," is not available. ")+"Available metrics are: ".concat(Object.keys(e))),t}}]),i}(tde);var ide,ode,sde={earlyStopping:function(e){return new ade(e)}};k0().registerFlag("KEEP_INTERMEDIATE_TENSORS",(function(){return!1}),(function(e){e&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")})),function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_QINT16=15]="DT_QINT16",e[e.DT_QUINT16=16]="DT_QUINT16",e[e.DT_UINT16=17]="DT_UINT16",e[e.DT_COMPLEX128=18]="DT_COMPLEX128",e[e.DT_HALF=19]="DT_HALF",e[e.DT_RESOURCE=20]="DT_RESOURCE",e[e.DT_VARIANT=21]="DT_VARIANT",e[e.DT_UINT32=22]="DT_UINT32",e[e.DT_UINT64=23]="DT_UINT64",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",e[e.DT_QINT16_REF=115]="DT_QINT16_REF",e[e.DT_QUINT16_REF=116]="DT_QUINT16_REF",e[e.DT_UINT16_REF=117]="DT_UINT16_REF",e[e.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",e[e.DT_HALF_REF=119]="DT_HALF_REF",e[e.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",e[e.DT_VARIANT_REF=121]="DT_VARIANT_REF",e[e.DT_UINT32_REF=122]="DT_UINT32_REF",e[e.DT_UINT64_REF=123]="DT_UINT64_REF"}(ide||(ide={})),function(e){!function(e){e[e.LEGACY=0]="LEGACY",e[e.V1=1]="V1",e[e.V2=2]="V2"}(e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))}(ode||(ode={}));var ude={};function cde(e){return ude[e]}function lde(e,t,n,r,a){var i=t.inputParams[e];if(i&&void 0!==i.inputIndexStart){var o=i.inputIndexStart,s=0===i.inputIndexEnd?void 0:void 0===i.inputIndexEnd?o+1:i.inputIndexEnd,u=o<0?t.inputNames.length+o:o;if("tensor"===i.type)return hde(t.inputNames[u],n,r,a);if("tensors"===i.type){var c=t.inputs.slice(o,s),l=t.inputNames.slice(o,s).filter((function(e,t){var n;return"NoOp"!==(null===(n=c[t])||void 0===n?void 0:n.op)}));return l.map((function(e){return hde(e,n,r,a)}))}var h=hde(t.inputNames[u],n,r,a),p=h.dataSync();return"number"===i.type?p[0]:s0(h.shape,p)}var f=t.attrParams[e];return f&&f.value}function hde(e,t,n,r){var a=S(vde(e,n),2),i=a[0],o=a[1];if(null!=r){var s=r.getHashTableHandleByName(i);if(null!=s)return s}var u=n.currentContextIds.find((function(e){return!!t[dde(i,e)]}));return void 0!==u?t[dde(i,u)][o]:void 0}function pde(e,t,n){return t[dde(e,n.currentContextId)]}function fde(e,t){var 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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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