diff --git a/facial_landmark_detection/face_landmark_nchw.js b/facial_landmark_detection/face_landmark_nchw.js
index 4a9dacbe..59481c8b 100644
--- a/facial_landmark_detection/face_landmark_nchw.js
+++ b/facial_landmark_detection/face_landmark_nchw.js
@@ -15,6 +15,10 @@ export class FaceLandmarkNchw {
     };
   }
 
+  async buildMaxPool2d(input, options) {
+    return this.builder_.maxPool2d(await input, options);
+  }
+
   async buildConv_(input, indice) {
     const prefix = `${this.weightsUrl_}/conv2d`;
     let weightSuffix = '_kernel.npy';
@@ -26,33 +30,33 @@ export class FaceLandmarkNchw {
     }
 
     const weightsName = prefix + weightSuffix;
-    const weights = await buildConstantByNpy(this.builder_, weightsName);
+    const weights = buildConstantByNpy(this.builder_, weightsName);
     const biasName = prefix + biasSuffix;
-    const bias = await buildConstantByNpy(this.builder_, biasName);
+    const bias = buildConstantByNpy(this.builder_, biasName);
     const options = {
-      bias: bias,
+      bias: await bias,
       activation: this.builder_.relu(),
     };
-    return this.builder_.conv2d(input, weights, options);
+    return this.builder_.conv2d(await input, await weights, options);
   }
 
   async buildGemm_(input, namePrefix, relu = false, reshapeSize) {
-    const weights = await buildConstantByNpy(this.builder_,
+    const weights = buildConstantByNpy(this.builder_,
         `${this.weightsUrl_}/${namePrefix}_kernel_transpose.npy`);
-    const bias = await buildConstantByNpy(this.builder_,
+    const bias = buildConstantByNpy(this.builder_,
         `${this.weightsUrl_}/${namePrefix}_MatMul_bias.npy`);
     const options = {
       aTranspose: false,
       bTranspose: true,
-      c: bias,
+      c: await bias,
     };
     let gemm;
     if (reshapeSize !== undefined) {
       gemm = this.builder_.gemm(this.builder_.reshape(
-          this.builder_.transpose(input, {permutation: [0, 2, 3, 1]}),
-          [null, reshapeSize]), weights, options);
+          this.builder_.transpose(await input, {permutation: [0, 2, 3, 1]}),
+          [null, reshapeSize]), await weights, options);
     } else {
-      gemm = this.builder_.gemm(input, weights, options);
+      gemm = this.builder_.gemm(await input, await weights, options);
     }
     if (relu) {
       gemm = this.builder_.relu(gemm);
@@ -73,27 +77,26 @@ export class FaceLandmarkNchw {
     const poolOptions =
         {windowDimensions: [2, 2], strides: [2, 2]};
 
-    const conv0 = await this.buildConv_(input, 0);
-    const pool0 = await this.builder_.maxPool2d(conv0, poolOptions);
+    const conv0 = this.buildConv_(input, 0);
+    const pool0 = this.buildMaxPool2d(conv0, poolOptions);
 
-    const conv1 = await this.buildConv_(pool0, 1);
-    const conv2 = await this.buildConv_(conv1, 2);
-    const pool1 = await this.builder_.maxPool2d(conv2, poolOptions);
+    const conv1 = this.buildConv_(pool0, 1);
+    const conv2 = this.buildConv_(conv1, 2);
+    const pool1 = this.buildMaxPool2d(conv2, poolOptions);
 
-    const conv3 = await this.buildConv_(pool1, 3);
-    const conv4 = await this.buildConv_(conv3, 4);
-    const pool2 = await this.builder_.maxPool2d(conv4, poolOptions);
+    const conv3 = this.buildConv_(pool1, 3);
+    const conv4 = this.buildConv_(conv3, 4);
+    const pool2 = this.buildMaxPool2d(conv4, poolOptions);
 
-    const conv5 = await this.buildConv_(pool2, 5);
-    const conv6 = await this.buildConv_(conv5, 6);
-    const pool3 = await this.builder_.maxPool2d(
-        conv6, {windowDimensions: [2, 2]});
+    const conv5 = this.buildConv_(pool2, 5);
+    const conv6 = this.buildConv_(conv5, 6);
+    const pool3 = this.buildMaxPool2d(conv6, {windowDimensions: [2, 2]});
 
-    const conv7 = await this.buildConv_(pool3, 7);
-    const gemm0 = await this.buildGemm_(conv7, 'dense', true, 6400);
-    const gemm1 = await this.buildGemm_(gemm0, 'logits');
+    const conv7 = this.buildConv_(pool3, 7);
+    const gemm0 = this.buildGemm_(conv7, 'dense', true, 6400);
+    const gemm1 = this.buildGemm_(gemm0, 'logits');
 
-    return gemm1;
+    return await gemm1;
   }
 
   async build(outputOperand) {
diff --git a/facial_landmark_detection/face_landmark_nhwc.js b/facial_landmark_detection/face_landmark_nhwc.js
index add12c7e..1e5f791c 100644
--- a/facial_landmark_detection/face_landmark_nhwc.js
+++ b/facial_landmark_detection/face_landmark_nhwc.js
@@ -15,6 +15,10 @@ export class FaceLandmarkNhwc {
     };
   }
 
+  async buildMaxPool2d(input, options) {
+    return this.builder_.maxPool2d(await input, options);
+  }
+
   async buildConv_(input, indice) {
     const prefix = `${this.weightsUrl_}/conv2d`;
     let weightSuffix = '_kernel.npy';
@@ -26,34 +30,34 @@ export class FaceLandmarkNhwc {
     }
 
     const weightsName = prefix + weightSuffix;
-    const weights = await buildConstantByNpy(this.builder_, weightsName);
+    const weights = buildConstantByNpy(this.builder_, weightsName);
     const biasName = prefix + biasSuffix;
-    const bias = await buildConstantByNpy(this.builder_, biasName);
+    const bias = buildConstantByNpy(this.builder_, biasName);
     const options = {
       inputLayout: 'nhwc',
       filterLayout: 'ohwi',
-      bias: bias,
+      bias: await bias,
       activation: this.builder_.relu(),
     };
-    return this.builder_.conv2d(input, weights, options);
+    return this.builder_.conv2d(await input, await weights, options);
   }
 
   async buildFullyConnected_(input, namePrefix, relu = false, reshapeSize) {
-    const weights = await buildConstantByNpy(this.builder_,
+    const weights = buildConstantByNpy(this.builder_,
         `${this.weightsUrl_}/${namePrefix}_kernel_transpose.npy`);
-    const bias = await buildConstantByNpy(this.builder_,
+    const bias = buildConstantByNpy(this.builder_,
         `${this.weightsUrl_}/${namePrefix}_MatMul_bias.npy`);
     const options = {
       aTranspose: false,
       bTranspose: true,
-      c: bias,
+      c: await bias,
     };
     let fc;
     if (reshapeSize !== undefined) {
       fc = this.builder_.gemm(this.builder_.reshape(
-          input, [null, reshapeSize]), weights, options);
+          await input, [null, reshapeSize]), await weights, options);
     } else {
-      fc = this.builder_.gemm(input, weights, options);
+      fc = this.builder_.gemm(await input, await weights, options);
     }
     if (relu) {
       fc = this.builder_.relu(fc);
@@ -74,28 +78,28 @@ export class FaceLandmarkNhwc {
     const poolOptions =
         {windowDimensions: [2, 2], strides: [2, 2], layout: 'nhwc'};
 
-    const conv0 = await this.buildConv_(input, 0);
-    const pool0 = await this.builder_.maxPool2d(conv0, poolOptions);
+    const conv0 = this.buildConv_(input, 0);
+    const pool0 = this.buildMaxPool2d(conv0, poolOptions);
 
-    const conv1 = await this.buildConv_(pool0, 1);
-    const conv2 = await this.buildConv_(conv1, 2);
-    const pool1 = await this.builder_.maxPool2d(conv2, poolOptions);
+    const conv1 = this.buildConv_(pool0, 1);
+    const conv2 = this.buildConv_(conv1, 2);
+    const pool1 = this.buildMaxPool2d(conv2, poolOptions);
 
-    const conv3 = await this.buildConv_(pool1, 3);
-    const conv4 = await this.buildConv_(conv3, 4);
-    const pool2 = await this.builder_.maxPool2d(conv4, poolOptions);
+    const conv3 = this.buildConv_(pool1, 3);
+    const conv4 = this.buildConv_(conv3, 4);
+    const pool2 = this.buildMaxPool2d(conv4, poolOptions);
 
-    const conv5 = await this.buildConv_(pool2, 5);
-    const conv6 = await this.buildConv_(conv5, 6);
-    const pool3 = await this.builder_.maxPool2d(
+    const conv5 = this.buildConv_(pool2, 5);
+    const conv6 = this.buildConv_(conv5, 6);
+    const pool3 = this.buildMaxPool2d(
         conv6, {windowDimensions: [2, 2], layout: 'nhwc'});
 
-    const conv7 = await this.buildConv_(pool3, 7);
-    const fc0 = await this.buildFullyConnected_(
+    const conv7 = this.buildConv_(pool3, 7);
+    const fc0 = this.buildFullyConnected_(
         conv7, 'dense', true, 6400);
-    const fc1 = await this.buildFullyConnected_(fc0, 'logits');
+    const fc1 = this.buildFullyConnected_(fc0, 'logits');
 
-    return fc1;
+    return await fc1;
   }
 
   async build(outputOperand) {
diff --git a/facial_landmark_detection/main.js b/facial_landmark_detection/main.js
index 003a1a9c..4daf5917 100644
--- a/facial_landmark_detection/main.js
+++ b/facial_landmark_detection/main.js
@@ -260,16 +260,20 @@ async function main() {
         contextOptions['numThreads'] = numThreads;
       }
       start = performance.now();
-      const fdOutputOperand = await fdInstance.load(contextOptions);
-      const fldOutputOperand = await fldInstance.load(contextOptions);
+      const [fdOutputOperand, fldOutputOperand] = await Promise.all([
+        fdInstance.load(contextOptions),
+        fldInstance.load(contextOptions),
+      ]);
       loadTime = (performance.now() - start).toFixed(2);
       console.log(`  done in ${loadTime} ms.`);
       // UI shows model building progress
       await ui.showProgressComponent('done', 'current', 'pending');
       console.log('- Building... ');
       start = performance.now();
-      await fdInstance.build(fdOutputOperand);
-      await fldInstance.build(fldOutputOperand);
+      await Promise.all([
+        fdInstance.build(fdOutputOperand),
+        fldInstance.build(fldOutputOperand),
+      ]);
       buildTime = (performance.now() - start).toFixed(2);
       console.log(`  done in ${buildTime} ms.`);
     }
diff --git a/facial_landmark_detection/ssd_mobilenetv2_face_nchw.js b/facial_landmark_detection/ssd_mobilenetv2_face_nchw.js
index 4f883616..a6ecfd7c 100644
--- a/facial_landmark_detection/ssd_mobilenetv2_face_nchw.js
+++ b/facial_landmark_detection/ssd_mobilenetv2_face_nchw.js
@@ -63,9 +63,9 @@ ${nameArray[1]}`;
     }
 
     const weightsName = prefix + weightSuffix;
-    const weights = await buildConstantByNpy(this.builder_, weightsName);
+    const weights = buildConstantByNpy(this.builder_, weightsName);
     const biasName = prefix + biasSuffix;
-    const bias = await buildConstantByNpy(this.builder_, biasName);
+    const bias = buildConstantByNpy(this.builder_, biasName);
     if (options !== undefined) {
       options.autoPad = 'same-upper';
     } else {
@@ -73,20 +73,20 @@ ${nameArray[1]}`;
         autoPad: 'same-upper',
       };
     }
-    options.bias = bias;
+    options.bias = await bias;
     if (clip) {
       // TODO: Set clamp activation to options once it's supported in
       // WebNN DML backend.
       // Implement `clip` by `clamp` of  WebNN API
       if (this.deviceType_ == 'gpu') {
         return this.builder_.clamp(
-            this.builder_.conv2d(input, weights, options),
+            this.builder_.conv2d(await input, await weights, options),
             {minValue: 0, maxValue: 6});
       } else {
         options.activation = this.builder_.clamp({minValue: 0, maxValue: 6});
       }
     }
-    return this.builder_.conv2d(input, weights, options);
+    return this.builder_.conv2d(await input, await weights, options);
   }
 
   async buildLinearBottleneck_(
@@ -103,17 +103,17 @@ ${nameArray[1]}`;
     const convRelu6Keyword = indice === '0' ?
           'FeatureExtractor_MobilenetV2_Conv' : 'expanded';
 
-    const convRelu6 = await this.buildConv_(
+    const convRelu6 = this.buildConv_(
         input, [convRelu6Keyword, indice], true, convOptions);
-    const dwiseRelu6 = await this.buildConv_(
+    const dwiseRelu6 = this.buildConv_(
         convRelu6, ['expanded_depthwise', indice], true, dwiseOptions);
-    const convLinear = await this.buildConv_(
+    const convLinear = this.buildConv_(
         dwiseRelu6, ['expanded_project', indice], false);
 
     if (shortcut) {
-      return this.builder_.add(input, convLinear);
+      return this.builder_.add(await input, await convLinear);
     }
-    return convLinear;
+    return await convLinear;
   }
 
 
@@ -127,99 +127,111 @@ ${nameArray[1]}`;
       dimensions: this.inputOptions.inputDimensions,
     });
 
-    const bottleneck0 = await this.buildLinearBottleneck_(
+    const bottleneck0 = this.buildLinearBottleneck_(
         input, '0', false, 32, 'convRelu6');
-    const bottleneck1 = await this.buildLinearBottleneck_(
+    const bottleneck1 = this.buildLinearBottleneck_(
         bottleneck0, '1', false, 96, 'dwiseRelu6');
-    const bottleneck2 = await this.buildLinearBottleneck_(
+    const bottleneck2 = this.buildLinearBottleneck_(
         bottleneck1, '2', true, 144);
-    const bottleneck3 = await this.buildLinearBottleneck_(
+    const bottleneck3 = this.buildLinearBottleneck_(
         bottleneck2, '3', false, 144, 'dwiseRelu6');
-    const bottleneck4 = await this.buildLinearBottleneck_(
+    const bottleneck4 = this.buildLinearBottleneck_(
         bottleneck3, '4', true, 192);
-    const bottleneck5 = await this.buildLinearBottleneck_(
+    const bottleneck5 = this.buildLinearBottleneck_(
         bottleneck4, '5', true, 192);
-    const bottleneck6 = await this.buildLinearBottleneck_(
+    const bottleneck6 = this.buildLinearBottleneck_(
         bottleneck5, '6', false, 192, 'dwiseRelu6');
-    const bottleneck7 = await this.buildLinearBottleneck_(
+    const bottleneck7 = this.buildLinearBottleneck_(
         bottleneck6, '7', true, 384);
-    const bottleneck8 = await this.buildLinearBottleneck_(
+    const bottleneck8 = this.buildLinearBottleneck_(
         bottleneck7, '8', true, 384);
-    const bottleneck9 = await this.buildLinearBottleneck_(
+    const bottleneck9 = this.buildLinearBottleneck_(
         bottleneck8, '9', true, 384);
-    const bottleneck10 = await this.buildLinearBottleneck_(
+    const bottleneck10 = this.buildLinearBottleneck_(
         bottleneck9, '10', false, 384);
-    const bottleneck11 = await this.buildLinearBottleneck_(
+    const bottleneck11 = this.buildLinearBottleneck_(
         bottleneck10, '11', true, 576);
-    const bottleneck12 = await this.buildLinearBottleneck_(
+    const bottleneck12 = this.buildLinearBottleneck_(
         bottleneck11, '12', true, 576);
-    const conv13Relu6 = await this.buildConv_(
+    const conv13Relu6 = this.buildConv_(
         bottleneck12, ['expanded', '13']);
-    const dwise13Relu6 = await this.buildConv_(
+    const dwise13Relu6 = this.buildConv_(
         conv13Relu6,
         ['expanded_depthwise', '13'],
         true,
         {groups: 576, strides: [2, 2]});
-    const convLinear13 = await this.buildConv_(
+    const convLinear13 = this.buildConv_(
         dwise13Relu6, ['expanded_project', '13'], false);
 
-    const biasAdd0 = await this.buildConv_(
+    const biasAdd0 = this.buildConv_(
         conv13Relu6, ['BoxEncoding', '0'], false);
-    const biasAdd3 = await this.buildConv_(
+    const biasAdd3 = this.buildConv_(
         conv13Relu6, ['Class', '0'], false);
 
-    const bottleneck14 = await this.buildLinearBottleneck_(
+    const bottleneck14 = this.buildLinearBottleneck_(
         convLinear13, '14', true, 960);
-    const bottleneck15 = await this.buildLinearBottleneck_(
+    const bottleneck15 = this.buildLinearBottleneck_(
         bottleneck14, '15', true, 960);
-    const bottleneck16 = await this.buildLinearBottleneck_(
+    const bottleneck16 = this.buildLinearBottleneck_(
         bottleneck15, '16', false, 960);
 
-    const conv17Relu6 = await this.buildConv_(
+    const conv17Relu6 = this.buildConv_(
         bottleneck16, ['FeatureExtractor_MobilenetV2_Conv_1']);
-    const biasAdd6 = await this.buildConv_(
+    const biasAdd6 = this.buildConv_(
         conv17Relu6, ['BoxEncoding', '1'], false);
-    const biasAdd9 = await this.buildConv_(
+    const biasAdd9 = this.buildConv_(
         conv17Relu6, ['Class', '1'], false);
 
-    const conv18Relu6 = await this.buildConv_(
+    const conv18Relu6 = this.buildConv_(
         conv17Relu6, ['layer_19_1', '2_1x1_256']);
-    const conv19Relu6 = await this.buildConv_(
+    const conv19Relu6 = this.buildConv_(
         conv18Relu6, ['layer_19_2', '2_3x3_s2_512'], true, {strides: [2, 2]});
-    const biasAdd12 = await this.buildConv_(
+    const biasAdd12 = this.buildConv_(
         conv19Relu6, ['BoxEncoding', '2'], false);
-    const biasAdd15 = await this.buildConv_(
+    const biasAdd15 = this.buildConv_(
         conv19Relu6, ['Class', '2'], false);
 
-    const conv20Relu6 = await this.buildConv_(
+    const conv20Relu6 = this.buildConv_(
         conv19Relu6, ['layer_19_1', '3_1x1_128']);
-    const conv21Relu6 = await this.buildConv_(
+    const conv21Relu6 = this.buildConv_(
         conv20Relu6, ['layer_19_2', '3_3x3_s2_256'], true, {strides: [2, 2]});
-    const biasAdd18 = await this.buildConv_(
+    const biasAdd18 = this.buildConv_(
         conv21Relu6, ['BoxEncoding', '3'], false);
-    const biasAdd21 = await this.buildConv_(
+    const biasAdd21 = this.buildConv_(
         conv21Relu6, ['Class', '3'], false);
 
-    const conv22Relu6 = await this.buildConv_(
+    const conv22Relu6 = this.buildConv_(
         conv21Relu6, ['layer_19_1', '4_1x1_128']);
-    const conv23Relu6 = await this.buildConv_(
+    const conv23Relu6 = this.buildConv_(
         conv22Relu6, ['layer_19_2', '4_3x3_s2_256'], true, {strides: [2, 2]});
-    const biasAdd24 = await this.buildConv_(
+    const biasAdd24 = this.buildConv_(
         conv23Relu6, ['BoxEncoding', '4'], false);
-    const biasAdd27 = await this.buildConv_(
+    const biasAdd27 = this.buildConv_(
         conv23Relu6, ['Class', '4'], false);
 
-    const conv24Relu6 = await this.buildConv_(
+    const conv24Relu6 = this.buildConv_(
         conv23Relu6, ['layer_19_1', '5_1x1_64']);
-    const conv25Relu6 = await this.buildConv_(
+    const conv25Relu6 = this.buildConv_(
         conv24Relu6, ['layer_19_2', '5_3x3_s2_128'], true, {strides: [2, 2]});
-    const biasAdd30 = await this.buildConv_(
+    const biasAdd30 = this.buildConv_(
         conv25Relu6, ['BoxEncoding', '5'], false);
-    const biasAdd33 = await this.buildConv_(
+    const biasAdd33 = this.buildConv_(
         conv25Relu6, ['Class', '5'], false);
 
-    return {biasAdd0, biasAdd3, biasAdd6, biasAdd9, biasAdd12, biasAdd15,
-      biasAdd18, biasAdd21, biasAdd24, biasAdd27, biasAdd30, biasAdd33};
+    return {
+      biasAdd0: await biasAdd0,
+      biasAdd3: await biasAdd3,
+      biasAdd6: await biasAdd6,
+      biasAdd9: await biasAdd9,
+      biasAdd12: await biasAdd12,
+      biasAdd15: await biasAdd15,
+      biasAdd18: await biasAdd18,
+      biasAdd21: await biasAdd21,
+      biasAdd24: await biasAdd24,
+      biasAdd27: await biasAdd27,
+      biasAdd30: await biasAdd30,
+      biasAdd33: await biasAdd33,
+    };
   }
 
   async build(outputOperand) {
diff --git a/facial_landmark_detection/ssd_mobilenetv2_face_nhwc.js b/facial_landmark_detection/ssd_mobilenetv2_face_nhwc.js
index 31182b62..8a05b69f 100644
--- a/facial_landmark_detection/ssd_mobilenetv2_face_nhwc.js
+++ b/facial_landmark_detection/ssd_mobilenetv2_face_nhwc.js
@@ -63,9 +63,9 @@ ${nameArray[1]}`;
     }
 
     const weightsName = prefix + weightSuffix;
-    const weights = await buildConstantByNpy(this.builder_, weightsName);
+    const weights = buildConstantByNpy(this.builder_, weightsName);
     const biasName = prefix + biasSuffix;
-    const bias = await buildConstantByNpy(this.builder_, biasName);
+    const bias = buildConstantByNpy(this.builder_, biasName);
     if (options !== undefined) {
       options.inputLayout = 'nhwc';
       options.filterLayout = 'ohwi';
@@ -80,20 +80,20 @@ ${nameArray[1]}`;
     if (nameArray[0].includes('depthwise')) {
       options.filterLayout = 'ihwo';
     }
-    options.bias = bias;
+    options.bias = await bias;
     if (relu6) {
       // TODO: Set clamp activation to options once it's supported in
       // WebNN DML backend.
       // Implement `clip` by `clamp` of  WebNN API
       if (this.deviceType_ == 'gpu') {
         return this.builder_.clamp(
-            this.builder_.conv2d(input, weights, options),
+            this.builder_.conv2d(await input, await weights, options),
             {minValue: 0, maxValue: 6});
       } else {
         options.activation = this.builder_.clamp({minValue: 0, maxValue: 6});
       }
     }
-    return this.builder_.conv2d(input, weights, options);
+    return this.builder_.conv2d(await input, await weights, options);
   }
 
   async buildLinearBottleneck_(
@@ -110,17 +110,17 @@ ${nameArray[1]}`;
     const convRelu6Keyword = indice === '0' ?
           'FeatureExtractor_MobilenetV2_Conv' : 'expanded';
 
-    const convRelu6 = await this.buildConv_(
+    const convRelu6 = this.buildConv_(
         input, [convRelu6Keyword, indice], true, convOptions);
-    const dwiseRelu6 = await this.buildConv_(
+    const dwiseRelu6 = this.buildConv_(
         convRelu6, ['expanded_depthwise', indice], true, dwiseOptions);
-    const convLinear = await this.buildConv_(
+    const convLinear = this.buildConv_(
         dwiseRelu6, ['expanded_project', indice], false);
 
     if (shortcut) {
-      return this.builder_.add(input, convLinear);
+      return this.builder_.add(await input, await convLinear);
     }
-    return convLinear;
+    return await convLinear;
   }
 
 
@@ -134,99 +134,111 @@ ${nameArray[1]}`;
       dimensions: this.inputOptions.inputDimensions,
     });
 
-    const bottleneck0 = await this.buildLinearBottleneck_(
+    const bottleneck0 = this.buildLinearBottleneck_(
         input, '0', false, 32, 'convRelu6');
-    const bottleneck1 = await this.buildLinearBottleneck_(
+    const bottleneck1 = this.buildLinearBottleneck_(
         bottleneck0, '1', false, 96, 'dwiseRelu6');
-    const bottleneck2 = await this.buildLinearBottleneck_(
+    const bottleneck2 = this.buildLinearBottleneck_(
         bottleneck1, '2', true, 144);
-    const bottleneck3 = await this.buildLinearBottleneck_(
+    const bottleneck3 = this.buildLinearBottleneck_(
         bottleneck2, '3', false, 144, 'dwiseRelu6');
-    const bottleneck4 = await this.buildLinearBottleneck_(
+    const bottleneck4 = this.buildLinearBottleneck_(
         bottleneck3, '4', true, 192);
-    const bottleneck5 = await this.buildLinearBottleneck_(
+    const bottleneck5 = this.buildLinearBottleneck_(
         bottleneck4, '5', true, 192);
-    const bottleneck6 = await this.buildLinearBottleneck_(
+    const bottleneck6 = this.buildLinearBottleneck_(
         bottleneck5, '6', false, 192, 'dwiseRelu6');
-    const bottleneck7 = await this.buildLinearBottleneck_(
+    const bottleneck7 = this.buildLinearBottleneck_(
         bottleneck6, '7', true, 384);
-    const bottleneck8 = await this.buildLinearBottleneck_(
+    const bottleneck8 = this.buildLinearBottleneck_(
         bottleneck7, '8', true, 384);
-    const bottleneck9 = await this.buildLinearBottleneck_(
+    const bottleneck9 = this.buildLinearBottleneck_(
         bottleneck8, '9', true, 384);
-    const bottleneck10 = await this.buildLinearBottleneck_(
+    const bottleneck10 = this.buildLinearBottleneck_(
         bottleneck9, '10', false, 384);
-    const bottleneck11 = await this.buildLinearBottleneck_(
+    const bottleneck11 = this.buildLinearBottleneck_(
         bottleneck10, '11', true, 576);
-    const bottleneck12 = await this.buildLinearBottleneck_(
+    const bottleneck12 = this.buildLinearBottleneck_(
         bottleneck11, '12', true, 576);
-    const conv13Relu6 = await this.buildConv_(
+    const conv13Relu6 = this.buildConv_(
         bottleneck12, ['expanded', '13']);
-    const dwise13Relu6 = await this.buildConv_(
+    const dwise13Relu6 = this.buildConv_(
         conv13Relu6,
         ['expanded_depthwise', '13'],
         true,
         {groups: 576, strides: [2, 2]});
-    const convLinear13 = await this.buildConv_(
+    const convLinear13 = this.buildConv_(
         dwise13Relu6, ['expanded_project', '13'], false);
 
-    const biasAdd0 = await this.buildConv_(
+    const biasAdd0 = this.buildConv_(
         conv13Relu6, ['BoxEncoding', '0'], false);
-    const biasAdd3 = await this.buildConv_(
+    const biasAdd3 = this.buildConv_(
         conv13Relu6, ['Class', '0'], false);
 
-    const bottleneck14 = await this.buildLinearBottleneck_(
+    const bottleneck14 = this.buildLinearBottleneck_(
         convLinear13, '14', true, 960);
-    const bottleneck15 = await this.buildLinearBottleneck_(
+    const bottleneck15 = this.buildLinearBottleneck_(
         bottleneck14, '15', true, 960);
-    const bottleneck16 = await this.buildLinearBottleneck_(
+    const bottleneck16 = this.buildLinearBottleneck_(
         bottleneck15, '16', false, 960);
 
-    const conv17Relu6 = await this.buildConv_(
+    const conv17Relu6 = this.buildConv_(
         bottleneck16, ['FeatureExtractor_MobilenetV2_Conv_1']);
-    const biasAdd6 = await this.buildConv_(
+    const biasAdd6 = this.buildConv_(
         conv17Relu6, ['BoxEncoding', '1'], false);
-    const biasAdd9 = await this.buildConv_(
+    const biasAdd9 = this.buildConv_(
         conv17Relu6, ['Class', '1'], false);
 
-    const conv18Relu6 = await this.buildConv_(
+    const conv18Relu6 = this.buildConv_(
         conv17Relu6, ['layer_19_1', '2_1x1_256']);
-    const conv19Relu6 = await this.buildConv_(
+    const conv19Relu6 = this.buildConv_(
         conv18Relu6, ['layer_19_2', '2_3x3_s2_512'], true, {strides: [2, 2]});
-    const biasAdd12 = await this.buildConv_(
+    const biasAdd12 = this.buildConv_(
         conv19Relu6, ['BoxEncoding', '2'], false);
-    const biasAdd15 = await this.buildConv_(
+    const biasAdd15 = this.buildConv_(
         conv19Relu6, ['Class', '2'], false);
 
-    const conv20Relu6 = await this.buildConv_(
+    const conv20Relu6 = this.buildConv_(
         conv19Relu6, ['layer_19_1', '3_1x1_128']);
-    const conv21Relu6 = await this.buildConv_(
+    const conv21Relu6 = this.buildConv_(
         conv20Relu6, ['layer_19_2', '3_3x3_s2_256'], true, {strides: [2, 2]});
-    const biasAdd18 = await this.buildConv_(
+    const biasAdd18 = this.buildConv_(
         conv21Relu6, ['BoxEncoding', '3'], false);
-    const biasAdd21 = await this.buildConv_(
+    const biasAdd21 = this.buildConv_(
         conv21Relu6, ['Class', '3'], false);
 
-    const conv22Relu6 = await this.buildConv_(
+    const conv22Relu6 = this.buildConv_(
         conv21Relu6, ['layer_19_1', '4_1x1_128']);
-    const conv23Relu6 = await this.buildConv_(
+    const conv23Relu6 = this.buildConv_(
         conv22Relu6, ['layer_19_2', '4_3x3_s2_256'], true, {strides: [2, 2]});
-    const biasAdd24 = await this.buildConv_(
+    const biasAdd24 = this.buildConv_(
         conv23Relu6, ['BoxEncoding', '4'], false);
-    const biasAdd27 = await this.buildConv_(
+    const biasAdd27 = this.buildConv_(
         conv23Relu6, ['Class', '4'], false);
 
-    const conv24Relu6 = await this.buildConv_(
+    const conv24Relu6 = this.buildConv_(
         conv23Relu6, ['layer_19_1', '5_1x1_64']);
-    const conv25Relu6 = await this.buildConv_(
+    const conv25Relu6 = this.buildConv_(
         conv24Relu6, ['layer_19_2', '5_3x3_s2_128'], true, {strides: [2, 2]});
-    const biasAdd30 = await this.buildConv_(
+    const biasAdd30 = this.buildConv_(
         conv25Relu6, ['BoxEncoding', '5'], false);
-    const biasAdd33 = await this.buildConv_(
+    const biasAdd33 = this.buildConv_(
         conv25Relu6, ['Class', '5'], false);
 
-    return {biasAdd0, biasAdd3, biasAdd6, biasAdd9, biasAdd12, biasAdd15,
-      biasAdd18, biasAdd21, biasAdd24, biasAdd27, biasAdd30, biasAdd33};
+    return {
+      biasAdd0: await biasAdd0,
+      biasAdd3: await biasAdd3,
+      biasAdd6: await biasAdd6,
+      biasAdd9: await biasAdd9,
+      biasAdd12: await biasAdd12,
+      biasAdd15: await biasAdd15,
+      biasAdd18: await biasAdd18,
+      biasAdd21: await biasAdd21,
+      biasAdd24: await biasAdd24,
+      biasAdd27: await biasAdd27,
+      biasAdd30: await biasAdd30,
+      biasAdd33: await biasAdd33,
+    };
   }
 
   async build(outputOperand) {