Make test-data as submodule to improve the load time of weight files

.github/dependabot.yml

@@ -8,3 +8,13 @@ updates:
     schedule:
       # Check for updates to GitHub Actions every weekday
       interval: "daily"
+    labels:
+      - "ci"
+  - package-ecosystem: "gitsubmodule"
+    directory: "/"
+    schedule:
+      # Check for updates to git submodule every weekday
+      interval: "daily"
+    labels:
+      - "ci"
+      - "submodules" 

.github/workflows/deploy.yml

@@ -9,10 +9,11 @@ jobs:
   job:
     runs-on: ubuntu-latest
     steps:
-    - name: Checkout
+    - name: Checkout repository and submodules
       uses: actions/[email protected]
       with:
         persist-credentials: false
+        submodules: recursive
 
     - name: Lint
       run: |

.gitmodules

@@ -0,0 +1,3 @@
+[submodule "test-data"]
+	path = test-data
+	url = https://github.com/webmachinelearning/test-data

README.md

@@ -13,7 +13,8 @@
 ### Setup & Run
 
 ```sh
-> npm install
+>  git clone --recurse-submodules https://github.com/webmachinelearning/webnn-samples
+> cd webnn-samples & npm install
 > npm start
 ```
 

image_classification/mobilenet_nchw.js

@@ -7,8 +7,7 @@ export class MobileNetV2Nchw {
   constructor() {
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-        'models/mobilenetv2_nchw/weights/';
+    this.weightsUrl_ = '../test-data/models/mobilenetv2_nchw/weights/';
     this.inputOptions = {
       mean: [0.485, 0.456, 0.406],
       std: [0.229, 0.224, 0.225],

image_classification/mobilenet_nhwc.js

@@ -9,8 +9,7 @@ export class MobileNetV2Nhwc {
   constructor() {
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-    'models/mobilenetv2_nhwc/weights/';
+    this.weightsUrl_ = '../test-data/models/mobilenetv2_nhwc/weights/';
     this.inputOptions = {
       mean: [127.5, 127.5, 127.5],
       std: [127.5, 127.5, 127.5],

image_classification/resnet101v2_nhwc.js

@@ -11,8 +11,7 @@ export class ResNet101V2Nhwc {
   constructor() {
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-        'models/resnet101v2_nhwc/weights/';
+    this.weightsUrl_ = '../test-data/models/resnet101v2_nhwc/weights/';
     this.inputOptions = {
       mean: [127.5, 127.5, 127.5],
       std: [127.5, 127.5, 127.5],

image_classification/resnet50v2_nchw.js

@@ -7,8 +7,7 @@ export class ResNet50V2Nchw {
   constructor() {
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-        'models/resnet50v2_nchw/weights/';
+    this.weightsUrl_ = '../test-data/models/resnet50v2_nchw/weights/';
     this.inputOptions = {
       mean: [0.485, 0.456, 0.406],
       std: [0.229, 0.224, 0.225],

image_classification/squeezenet_nchw.js

@@ -7,8 +7,7 @@ export class SqueezeNetNchw {
   constructor() {
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-    'models/squeezenet1.1_nchw/weights/';
+    this.weightsUrl_ = '../test-data/models/squeezenet1.1_nchw/weights/';
     this.inputOptions = {
       mean: [0.485, 0.456, 0.406],
       std: [0.229, 0.224, 0.225],

image_classification/squeezenet_nhwc.js

@@ -7,8 +7,7 @@ export class SqueezeNetNhwc {
   constructor() {
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-        'models/squeezenet1.0_nhwc/weights/';
+    this.weightsUrl_ = '../test-data/models/squeezenet1.0_nhwc/weights/';
     this.inputOptions = {
       mean: [127.5, 127.5, 127.5],
       std: [127.5, 127.5, 127.5],

lenet/main.js

@@ -56,8 +56,7 @@ function clearResult() {
 export async function main() {
   drawNextDigitFromMnist();
   const pen = new Pen(visualCanvas);
-  const weightUrl = 'https://webmachinelearning.github.io/test-data/' +
-      'models/lenet_nchw/weights/lenet.bin';
+  const weightUrl = '../test-data/models/lenet_nchw/weights/lenet.bin';
   const lenet = new LeNet(weightUrl);
   try {
     let start = performance.now();

nsnet2/denoiser.js

@@ -29,8 +29,7 @@ export class Denoiser {
     return new Promise((resolve, reject) => {
       this.log(' - Loading weights... ');
       const start = performance.now();
-      const weightsUrl = 'https://webmachinelearning.github.io/test-data/' +
-          'models/nsnet2_nchw/weights/';
+      const weightsUrl = '../test-data/models/nsnet2_nchw/weights/';
       this.nsnet.load(
           weightsUrl, this.batchSize, this.frames).then((outputOperand) => {
         const modelLoadTime = performance.now() - start;

object_detection/ssd_mobilenetv1_nchw.js

@@ -2,17 +2,15 @@
 
 import {buildConstantByNpy} from '../common/utils.js';
 
-const testDataURL = 'https://webmachinelearning.github.io/test-data';
-
 // SSD MobileNet V1 model with 'nchw' layout, trained on the COCO dataset.
 export class SsdMobilenetV1Nchw {
   constructor() {
     this.model_ = null;
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = testDataURL + '/models/ssd_mobilenetv1_nchw/weights/';
+    this.weightsUrl_ = '../test-data/models/ssd_mobilenetv1_nchw/weights/';
     // Shares the same bias files with 'nhwc' layout
-    this.biasUrl_ = testDataURL + '/models/ssd_mobilenetv1_nhwc/weights/';
+    this.biasUrl_ = '../test-data/models/ssd_mobilenetv1_nhwc/weights/';
     this.inputOptions = {
       inputLayout: 'nchw',
       labelUrl: './labels/coco_classes.txt',

object_detection/ssd_mobilenetv1_nhwc.js

@@ -8,8 +8,7 @@ export class SsdMobilenetV1Nhwc {
     this.model_ = null;
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-        'models/ssd_mobilenetv1_nhwc/weights/';
+    this.weightsUrl_ = '../test-data/models/ssd_mobilenetv1_nhwc/weights/';
     this.inputOptions = {
       inputLayout: 'nhwc',
       labelUrl: './labels/coco_classes.txt',

object_detection/tiny_yolov2_nchw.js

@@ -7,8 +7,7 @@ export class TinyYoloV2Nchw {
   constructor() {
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-        'models/tiny_yolov2_nchw/weights/';
+    this.weightsUrl_ = '../test-data/models/tiny_yolov2_nchw/weights/';
     this.inputOptions = {
       inputLayout: 'nchw',
       labelUrl: './labels/pascal_classes.txt',

object_detection/tiny_yolov2_nhwc.js

@@ -7,8 +7,7 @@ export class TinyYoloV2Nhwc {
   constructor() {
     this.builder_ = null;
     this.graph_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-        'models/tiny_yolov2_nhwc/weights/';
+    this.weightsUrl_ = '../test-data/models/tiny_yolov2_nhwc/weights/';
     this.inputOptions = {
       inputLayout: 'nhwc',
       labelUrl: './labels/pascal_classes.txt',

style_transfer/fast_style_transfer_net.js

@@ -11,8 +11,7 @@ export class FastStyleTransferNet {
     this.graph_ = null;
     this.constPow_ = null;
     this.constAdd_ = null;
-    this.weightsUrl_ = 'https://webmachinelearning.github.io/test-data/' +
-        'models/fast_style_transfer_nchw/weights/';
+    this.weightsUrl_ = '../test-data/models/fast_style_transfer_nchw/weights/';
     this.inputOptions = {
       inputDimensions: [1, 3, 540, 540],
       inputLayout: 'nchw',