diff --git a/nsnet2/nsnet2.js b/nsnet2/nsnet2.js
index 7d41d4c2..3ab0466d 100644
--- a/nsnet2/nsnet2.js
+++ b/nsnet2/nsnet2.js
@@ -50,7 +50,10 @@ export class NSNet2 {
     });
     const [gru94, gru93] = this.builder_.gru(transpose31, weight192, recurrentWeight193, frames, this.hiddenSize,
         {bias: bias194, recurrentBias: recurrentBias194, initialHiddenState: initialState92, returnSequence: true});
-    const squeeze95 = this.builder_.squeeze(gru93, {axes: [1]});
+    // Use reshape to implement squeeze(gru93, {axes: [1]});
+    const squeeze95Shape = gru93.shape();
+    squeeze95Shape.splice(1, 1);
+    const squeeze95 = this.builder_.reshape(gru93, squeeze95Shape);
     const initialState155 = this.builder_.input('initialState155', {
       type: 'float32',
       dataType: 'float32',
@@ -58,7 +61,10 @@ export class NSNet2 {
     });
     const [gru157, gru156] = this.builder_.gru(squeeze95, weight212, recurrentWeight213, frames, this.hiddenSize,
         {bias: bias214, recurrentBias: recurrentBias214, initialHiddenState: initialState155, returnSequence: true});
-    const squeeze158 = this.builder_.squeeze(gru156, {axes: [1]});
+    // Use reshape to implement squeeze(gru156, {axes: [1]});
+    const squeeze158Shape = gru156.shape();
+    squeeze158Shape.splice(1, 1);
+    const squeeze158 = this.builder_.reshape(gru156, squeeze158Shape);
     const transpose159 = this.builder_.transpose(squeeze158, {permutation: [1, 0, 2]});
     const relu163 = this.builder_.relu(this.builder_.add(this.builder_.matmul(transpose159, weight215), biasFcOut0));
     const relu167 = this.builder_.relu(this.builder_.add(this.builder_.matmul(relu163, weight216), biasFcOut2));
diff --git a/style_transfer/fast_style_transfer_net.js b/style_transfer/fast_style_transfer_net.js
index 05e851ac..a2a19f81 100644
--- a/style_transfer/fast_style_transfer_net.js
+++ b/style_transfer/fast_style_transfer_net.js
@@ -23,8 +23,12 @@ export class FastStyleTransferNet {
 
   buildInstanceNormalization_(conv2D, variableMul, variableAdd) {
     if ('instanceNormalization' in this.builder_) {
-      return this.builder_.instanceNormalization(conv2D,
-          {scale: this.builder_.squeeze(variableMul), bias: this.builder_.squeeze(variableAdd)});
+      // Use reshape to implement squeeze(variableMul); and squeeze(variableAdd);
+      const mulShape = variableMul.shape().filter((dim) => dim !==1);
+      const addShape = variableAdd.shape().filter((dim) => dim !==1);
+      const mulSqueeze = this.builder_.reshape(variableMul, mulShape);
+      const addSqueeze = this.builder_.reshape(variableAdd, addShape);
+      return this.builder_.instanceNormalization(conv2D, {scale: mulSqueeze, bias: addSqueeze});
     } else {
       const sub = this.builder_.sub(conv2D, this.builder_.reduceMean(conv2D, {axes: [2, 3], keepDimensions: true}));
       const reduceMean = this.builder_.reduceMean(this.builder_.mul(sub, sub), {axes: [2, 3], keepDimensions: true});