diff --git a/js/web/lib/wasm/jsep/webgpu/ops/common.ts b/js/web/lib/wasm/jsep/webgpu/ops/common.ts
index 14ae6a30505f0..d1c870d234c46 100644
--- a/js/web/lib/wasm/jsep/webgpu/ops/common.ts
+++ b/js/web/lib/wasm/jsep/webgpu/ops/common.ts
@@ -807,4 +807,4 @@ export const getBroadcastDims = (inShape: readonly number[], outShape: readonly
 // TODO: remove this limitation once >4D dims are supported by uniform.
 export const enableShapesUniforms = (rank: number): boolean => {
   return rank <= 4;
-}
+};
diff --git a/js/web/lib/wasm/jsep/webgpu/ops/conv-transpose.ts b/js/web/lib/wasm/jsep/webgpu/ops/conv-transpose.ts
index d241b8b92a669..e880afe09a5d8 100644
--- a/js/web/lib/wasm/jsep/webgpu/ops/conv-transpose.ts
+++ b/js/web/lib/wasm/jsep/webgpu/ops/conv-transpose.ts
@@ -232,7 +232,7 @@ const convTranspose2d =
       // STEP.1: transpose weight
       const transposedWeight = (context.kernelCustomData.wT as TensorView | undefined) ??
           context.compute(
-              createTransposeProgramInfo(inputs[1].dataType, inputs[1].dims.length, weightTransposePerm),
+              createTransposeProgramInfo(inputs[1], weightTransposePerm),
               {inputs: [1], outputs: [attributes.wIsConst ? -2 : -1]})[0];
       if (attributes.wIsConst && !context.kernelCustomData.wT) {
         context.kernelCustomData.wT = transposedWeight;
diff --git a/js/web/lib/wasm/jsep/webgpu/ops/conv.ts b/js/web/lib/wasm/jsep/webgpu/ops/conv.ts
index b323a36cee5c8..c7ea0cffe51c3 100644
--- a/js/web/lib/wasm/jsep/webgpu/ops/conv.ts
+++ b/js/web/lib/wasm/jsep/webgpu/ops/conv.ts
@@ -168,7 +168,7 @@ const conv2d = (context: ComputeContext, inputs: readonly TensorView[], attribut
     if (isChannelsLast) {
       const transposedWeight = (context.kernelCustomData.wT as TensorView | undefined) ??
           context.compute(
-              createTransposeProgramInfo(inputs[1].dataType, inputs[1].dims.length, weightTransposeAttribute),
+              createTransposeProgramInfo(inputs[1], weightTransposeAttribute),
               {inputs: [1], outputs: [attributes.wIsConst ? -2 : -1]})[0];
       if (attributes.wIsConst && !context.kernelCustomData.wT) {
         context.kernelCustomData.wT = transposedWeight;
@@ -208,7 +208,7 @@ const conv2d = (context: ComputeContext, inputs: readonly TensorView[], attribut
   // STEP.1: transpose weight
   const transposedWeight = (context.kernelCustomData.wT as TensorView | undefined) ??
       context.compute(
-          createTransposeProgramInfo(inputs[1].dataType, inputs[1].dims.length, weightTransposeAttribute),
+          createTransposeProgramInfo(inputs[1], weightTransposeAttribute),
           {inputs: [1], outputs: [attributes.wIsConst ? -2 : -1]})[0];
   if (attributes.wIsConst && !context.kernelCustomData.wT) {
     context.kernelCustomData.wT = transposedWeight;