diff --git a/js/web/lib/wasm/jsep/webgpu/ops/pool.ts b/js/web/lib/wasm/jsep/webgpu/ops/pool.ts
index 79071d32443d6..83cc1f3640ec2 100644
--- a/js/web/lib/wasm/jsep/webgpu/ops/pool.ts
+++ b/js/web/lib/wasm/jsep/webgpu/ops/pool.ts
@@ -1,7 +1,6 @@
 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
 
-import {DataType} from '../../../wasm-common';
 import {TensorView} from '../../tensor';
 import {PoolConvUtil, ShapeUtil} from '../../util';
 import {AttributeWithCacheKey, createAttributeWithCacheKey} from '../attribute-with-cache-key';
@@ -22,9 +21,6 @@ const validateInputs = (inputs: readonly TensorView[]): void => {
   if (inputs[0].dims.length !== 4) {
     throw new Error('Pool ops supports 2-D inputs only for now.');
   }
-  if (inputs[0].dataType !== DataType.float) {
-    throw new Error('Invalid input type.');
-  }
 };
 
 const getAdjustedPoolAttributesAndOutputShape = <AttributeType extends AveragePoolAttributes|MaxPoolAttributes>(
@@ -248,7 +244,7 @@ const createAveragePoolProgramInfo =
           const kernelSize = ShapeUtil.size(adjustedAttributes.kernelShape);
 
           const x = inputVariable('x', input.dataType, input.dims);
-          const dataType = 'f32';
+          const dataType = x.type.value;
 
           const op1 = 'value += x_val;';
           let op2 = '';
diff --git a/js/web/lib/wasm/jsep/webgpu/ops/reduce.ts b/js/web/lib/wasm/jsep/webgpu/ops/reduce.ts
index cb592c838dd97..6305cc74a2bdf 100644
--- a/js/web/lib/wasm/jsep/webgpu/ops/reduce.ts
+++ b/js/web/lib/wasm/jsep/webgpu/ops/reduce.ts
@@ -17,10 +17,6 @@ const validateInputs = (inputs: readonly TensorView[]): void => {
   if (inputs.length === 2 && inputs[1].dims.length !== 1) {
     throw new Error('Invalid axes input dims.');
   }
-
-  if (inputs[0].dataType !== DataType.float) {
-    throw new Error('Invalid input type.');
-  }
 };
 
 export interface ReduceAttributes extends AttributeWithCacheKey {
@@ -161,7 +157,7 @@ export const reduceL1 = (context: ComputeContext, attributes: ReduceAttributes):
 export const reduceL2 = (context: ComputeContext, attributes: ReduceAttributes): void => {
   validateInputs(context.inputs);
   const reduceOp: ReduceOp = (input, output) =>
-      [`var t = f32(0); var value = ${output.type.storage}(0);`,
+      [`var t = ${output.type.value}(0); var value = ${output.type.value}(0);`,
        '',
        `t = ${input.getByOffset('inputOffset')}; value += (t * t);`,
        'value = sqrt(value);',
@@ -266,7 +262,7 @@ export const reduceSum = (context: ComputeContext, attributes: ReduceAttributes)
 export const reduceSumSquare = (context: ComputeContext, attributes: ReduceAttributes): void => {
   validateInputs(context.inputs);
   const reduceOp: ReduceOp = (input, output) =>
-      [`var t = f32(0); var value = ${output.type.storage}(0);`,
+      [`var t = ${output.type.value}(0); var value = ${output.type.value}(0);`,
        '',
        `t = ${input.getByOffset('inputOffset')}; value += t * t;`,
        '',
diff --git a/onnxruntime/core/providers/js/js_execution_provider.cc b/onnxruntime/core/providers/js/js_execution_provider.cc
index 6b548921cdc8c..ecb294a3f2468 100644
--- a/onnxruntime/core/providers/js/js_execution_provider.cc
+++ b/onnxruntime/core/providers/js/js_execution_provider.cc
@@ -129,56 +129,56 @@ class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 14, Rel
 class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 6, 15, LeakyRelu);
 class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 16, LeakyRelu);
 
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceMax);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, float, ReduceMax);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, 12, float, ReduceMax);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceMax);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceMax);
-
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceMean);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceMean);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceMean);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceMean);
-
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceMin);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, float, ReduceMin);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, 12, float, ReduceMin);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceMin);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceMin);
-
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceProd);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceProd);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceProd);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceProd);
-
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceSum);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceSum);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, float, ReduceSum);
-
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceL1);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceL1);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceL1);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceL1);
-
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceL2);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceL2);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceL2);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceL2);
-
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceLogSum);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceLogSum);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceLogSum);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceLogSum);
-
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceSumSquare);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceSumSquare);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceSumSquare);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceSumSquare);
-
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceLogSumExp);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceLogSumExp);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceLogSumExp);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceLogSumExp);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceMax);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, ReduceMax);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, 12, ReduceMax);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceMax);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceMax);
+
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceMean);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceMean);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceMean);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceMean);
+
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceMin);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, ReduceMin);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, 12, ReduceMin);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceMin);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceMin);
+
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceProd);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceProd);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceProd);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceProd);
+
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceSum);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceSum);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, ReduceSum);
+
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceL1);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceL1);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceL1);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceL1);
+
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceL2);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceL2);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceL2);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceL2);
+
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceLogSum);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceLogSum);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceLogSum);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceLogSum);
+
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceSumSquare);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceSumSquare);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceSumSquare);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceSumSquare);
+
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceLogSumExp);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceLogSumExp);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceLogSumExp);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceLogSumExp);
 
 class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 10, ThresholdedRelu);
 
@@ -234,11 +234,11 @@ class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, Tra
 
 class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, float, Conv);
 class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, float, ConvTranspose);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, 11, float, MaxPool);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 12, float, MaxPool);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, float, AveragePool);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 1, float, GlobalAveragePool);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 1, float, GlobalMaxPool);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, 11, MaxPool);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 12, MaxPool);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, AveragePool);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 1, GlobalAveragePool);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 1, GlobalMaxPool);
 
 class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, Conv);
 class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, float, Conv);
@@ -251,16 +251,16 @@ class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, Gem
 class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 12, MatMul);
 class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, MatMul);
 
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 7, 9, float, AveragePool);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 10, 10, float, AveragePool);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, float, AveragePool);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, float, GlobalAveragePool);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 7, float, MaxPool);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 8, 9, float, MaxPool);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 10, 10, float, MaxPool);
-class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, float, MaxPool);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, float, MaxPool);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, float, GlobalMaxPool);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 7, 9, AveragePool);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 10, 10, AveragePool);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, AveragePool);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, GlobalAveragePool);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 7, MaxPool);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 8, 9, MaxPool);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 10, 10, MaxPool);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, MaxPool);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, MaxPool);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, GlobalMaxPool);
 
 class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ArgMax);
 class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ArgMax);
@@ -428,71 +428,71 @@ std::unique_ptr<KernelRegistry> RegisterKernels() {
       BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, Squeeze)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, Squeeze)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, Squeeze)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceMax)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, float, ReduceMax)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, 12, float, ReduceMax)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceMax)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceMax)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceMax)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, ReduceMax)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, 12, ReduceMax)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceMax)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceMax)>,
 
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceMean)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceMean)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceMean)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceMean)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceMean)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceMean)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceMean)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceMean)>,
 
       BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, Unsqueeze)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, Unsqueeze)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, Unsqueeze)>,
 
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceMin)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, float, ReduceMin)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, 12, float, ReduceMin)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceMin)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceMin)>,
-
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceProd)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceProd)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceProd)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceProd)>,
-
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceSum)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceSum)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, float, ReduceSum)>,
-
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceL1)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceL1)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceL1)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceL1)>,
-
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceL2)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceL2)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceL2)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceL2)>,
-
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceLogSum)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceLogSum)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceLogSum)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceLogSum)>,
-
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceSumSquare)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceSumSquare)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceSumSquare)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceSumSquare)>,
-
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ReduceLogSumExp)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ReduceLogSumExp)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, float, ReduceLogSumExp)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, float, ReduceLogSumExp)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceMin)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, ReduceMin)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, 12, ReduceMin)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceMin)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceMin)>,
+
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceProd)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceProd)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceProd)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceProd)>,
+
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceSum)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceSum)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, ReduceSum)>,
+
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceL1)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceL1)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceL1)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceL1)>,
+
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceL2)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceL2)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceL2)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceL2)>,
+
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceLogSum)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceLogSum)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceLogSum)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceLogSum)>,
+
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceSumSquare)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceSumSquare)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceSumSquare)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceSumSquare)>,
+
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, ReduceLogSumExp)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, ReduceLogSumExp)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, 17, ReduceLogSumExp)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 18, ReduceLogSumExp)>,
 
       BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 12, Transpose)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, Transpose)>,
 
       BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, float, Conv)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, float, ConvTranspose)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, 11, float, MaxPool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 12, float, MaxPool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, float, AveragePool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 1, float, GlobalAveragePool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 1, float, GlobalMaxPool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, 11, MaxPool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 12, MaxPool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 11, AveragePool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 1, GlobalAveragePool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kMSInternalNHWCDomain, 1, GlobalMaxPool)>,
 
       BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, Conv)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, float, Conv)>,
@@ -505,16 +505,16 @@ std::unique_ptr<KernelRegistry> RegisterKernels() {
       BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 12, MatMul)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 13, MatMul)>,
 
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 7, 9, float, AveragePool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 10, 10, float, AveragePool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, float, AveragePool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, float, GlobalAveragePool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 7, float, MaxPool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 8, 9, float, MaxPool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 10, 10, float, MaxPool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, float, MaxPool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, float, MaxPool)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, float, GlobalMaxPool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 7, 9, AveragePool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 10, 10, AveragePool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, AveragePool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, GlobalAveragePool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 7, MaxPool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 8, 9, MaxPool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 10, 10, MaxPool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 11, MaxPool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 12, MaxPool)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, GlobalMaxPool)>,
 
       BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 1, 10, float, ArgMax)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kJsExecutionProvider, kOnnxDomain, 11, 12, float, ArgMax)>,
diff --git a/onnxruntime/core/providers/js/operators/pool.cc b/onnxruntime/core/providers/js/operators/pool.cc
index 03e6caef7e5b8..7fdb4e5d114ea 100644
--- a/onnxruntime/core/providers/js/operators/pool.cc
+++ b/onnxruntime/core/providers/js/operators/pool.cc
@@ -8,69 +8,65 @@
 namespace onnxruntime {
 namespace js {
 
-#define POOLING_KERNEL(op_name, domain, is_channels_last, data_type, pool_type, since_version)     \
-  ONNX_OPERATOR_TYPED_KERNEL_EX(                                                                   \
-      op_name,                                                                                     \
-      domain,                                                                                      \
-      since_version,                                                                               \
-      data_type,                                                                                   \
-      kJsExecutionProvider,                                                                        \
-      (*KernelDefBuilder::Create()).TypeConstraint("T", DataTypeImpl::GetTensorType<data_type>()), \
-      Pool<data_type, pool_type, is_channels_last>);
+#define POOLING_KERNEL(op_name, domain, is_channels_last, pool_type, since_version) \
+  ONNX_OPERATOR_KERNEL_EX(                                                          \
+      op_name,                                                                      \
+      domain,                                                                       \
+      since_version,                                                                \
+      kJsExecutionProvider,                                                         \
+      (*KernelDefBuilder::Create()).TypeConstraint("T", JsepSupportedFloatTypes()), \
+      Pool<pool_type, is_channels_last>);
 
-#define POOLING_KERNEL_VERSIONED(op_name, domain, is_channels_last, data_type, pool_type, since_version, end_version) \
-  ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_EX(                                                                            \
-      op_name,                                                                                                        \
-      domain,                                                                                                         \
-      since_version,                                                                                                  \
-      end_version,                                                                                                    \
-      data_type,                                                                                                      \
-      kJsExecutionProvider,                                                                                           \
-      (*KernelDefBuilder::Create())                                                                                   \
-          .TypeConstraint("T", DataTypeImpl::GetTensorType<data_type>()),                                             \
-      Pool<data_type, pool_type, is_channels_last>);
+#define POOLING_KERNEL_VERSIONED(op_name, domain, is_channels_last, pool_type, since_version, end_version) \
+  ONNX_OPERATOR_VERSIONED_KERNEL_EX(                                                                       \
+      op_name,                                                                                             \
+      domain,                                                                                              \
+      since_version,                                                                                       \
+      end_version,                                                                                         \
+      kJsExecutionProvider,                                                                                \
+      (*KernelDefBuilder::Create())                                                                        \
+          .TypeConstraint("T", JsepSupportedFloatTypes()),                                                 \
+      Pool<pool_type, is_channels_last>);
 
-#define POOLING_KERNEL_WITH_INDICES(op_name, domain, is_channels_last, data_type, pool_type, since_version) \
-  ONNX_OPERATOR_TYPED_KERNEL_EX(                                                                            \
-      op_name,                                                                                              \
-      domain,                                                                                               \
-      since_version,                                                                                        \
-      data_type,                                                                                            \
-      kJsExecutionProvider,                                                                                 \
-      (*KernelDefBuilder::Create())                                                                         \
-          .TypeConstraint("T", DataTypeImpl::GetTensorType<data_type>())                                    \
-          .TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>()),                                     \
-      Pool<data_type, pool_type, is_channels_last>);
+#define POOLING_KERNEL_WITH_INDICES(op_name, domain, is_channels_last, pool_type, since_version) \
+  ONNX_OPERATOR_KERNEL_EX(                                                                       \
+      op_name,                                                                                   \
+      domain,                                                                                    \
+      since_version,                                                                             \
+      kJsExecutionProvider,                                                                      \
+      (*KernelDefBuilder::Create())                                                              \
+          .TypeConstraint("T", JsepSupportedFloatTypes())                                        \
+          .TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>()),                          \
+      Pool<pool_type, is_channels_last>);
 
-#define POOLING_KERNEL_VERSIONED_WITH_INDICES(op_name, domain, is_channels_last, data_type, pool_type, since_version, end_version) \
-  ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_EX(                                                                                         \
-      op_name,                                                                                                                     \
-      domain,                                                                                                                      \
-      since_version,                                                                                                               \
-      end_version,                                                                                                                 \
-      data_type,                                                                                                                   \
-      kJsExecutionProvider,                                                                                                        \
-      (*KernelDefBuilder::Create())                                                                                                \
-          .TypeConstraint("T", DataTypeImpl::GetTensorType<data_type>())                                                           \
-          .TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>()),                                                            \
-      Pool<data_type, pool_type, is_channels_last>);
+#define POOLING_KERNEL_VERSIONED_WITH_INDICES(op_name, domain, is_channels_last, pool_type, since_version, end_version) \
+  ONNX_OPERATOR_VERSIONED_KERNEL_EX(                                                                                    \
+      op_name,                                                                                                          \
+      domain,                                                                                                           \
+      since_version,                                                                                                    \
+      end_version,                                                                                                      \
+      kJsExecutionProvider,                                                                                             \
+      (*KernelDefBuilder::Create())                                                                                     \
+          .TypeConstraint("T", JsepSupportedFloatTypes())                                                               \
+          .TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>()),                                                 \
+      Pool<pool_type, is_channels_last>);
 
-POOLING_KERNEL_VERSIONED(AveragePool, kOnnxDomain, false, float, AveragePool, 7, 9)
-POOLING_KERNEL_VERSIONED(AveragePool, kOnnxDomain, false, float, AveragePool, 10, 10)
-POOLING_KERNEL(AveragePool, kOnnxDomain, false, float, AveragePool, 11)
-POOLING_KERNEL(AveragePool, kMSInternalNHWCDomain, true, float, AveragePool, 11)
-POOLING_KERNEL(GlobalAveragePool, kOnnxDomain, false, float, AveragePool, 1)
-POOLING_KERNEL(GlobalAveragePool, kMSInternalNHWCDomain, true, float, AveragePool, 1)
+POOLING_KERNEL_VERSIONED(AveragePool, kOnnxDomain, false, AveragePool, 7, 9)
+POOLING_KERNEL_VERSIONED(AveragePool, kOnnxDomain, false, AveragePool, 10, 10)
+POOLING_KERNEL(AveragePool, kOnnxDomain, false, AveragePool, 11)
+POOLING_KERNEL(AveragePool, kMSInternalNHWCDomain, true, AveragePool, 11)
+POOLING_KERNEL(GlobalAveragePool, kOnnxDomain, false, AveragePool, 1)
+POOLING_KERNEL(GlobalAveragePool, kMSInternalNHWCDomain, true, AveragePool, 1)
 
-POOLING_KERNEL_VERSIONED(MaxPool, kOnnxDomain, false, float, MaxPool<1>, 1, 7)
-POOLING_KERNEL_VERSIONED_WITH_INDICES(MaxPool, kOnnxDomain, false, float, MaxPool<8>, 8, 9)
-POOLING_KERNEL_VERSIONED_WITH_INDICES(MaxPool, kOnnxDomain, false, float, MaxPool<8>, 10, 10)
-POOLING_KERNEL_VERSIONED_WITH_INDICES(MaxPool, kOnnxDomain, false, float, MaxPool<8>, 11, 11)
-POOLING_KERNEL_VERSIONED_WITH_INDICES(MaxPool, kMSInternalNHWCDomain, true, float, MaxPool<8>, 11, 11)
-POOLING_KERNEL_WITH_INDICES(MaxPool, kOnnxDomain, false, float, MaxPool<8>, 12)
-POOLING_KERNEL_WITH_INDICES(MaxPool, kMSInternalNHWCDomain, true, float, MaxPool<8>, 12)
-POOLING_KERNEL(GlobalMaxPool, kOnnxDomain, false, float, MaxPool<1>, 1)
-POOLING_KERNEL(GlobalMaxPool, kMSInternalNHWCDomain, true, float, MaxPool<1>, 1)
+POOLING_KERNEL_VERSIONED(MaxPool, kOnnxDomain, false, MaxPool<1>, 1, 7)
+POOLING_KERNEL_VERSIONED_WITH_INDICES(MaxPool, kOnnxDomain, false, MaxPool<8>, 8, 9)
+POOLING_KERNEL_VERSIONED_WITH_INDICES(MaxPool, kOnnxDomain, false, MaxPool<8>, 10, 10)
+POOLING_KERNEL_VERSIONED_WITH_INDICES(MaxPool, kOnnxDomain, false, MaxPool<8>, 11, 11)
+POOLING_KERNEL_VERSIONED_WITH_INDICES(MaxPool, kMSInternalNHWCDomain, true, MaxPool<8>, 11, 11)
+POOLING_KERNEL_WITH_INDICES(MaxPool, kOnnxDomain, false, MaxPool<8>, 12)
+POOLING_KERNEL_WITH_INDICES(MaxPool, kMSInternalNHWCDomain, true, MaxPool<8>, 12)
+POOLING_KERNEL(GlobalMaxPool, kOnnxDomain, false, MaxPool<1>, 1)
+POOLING_KERNEL(GlobalMaxPool, kMSInternalNHWCDomain, true, MaxPool<1>, 1)
 
 }  // namespace js
 }  // namespace onnxruntime
diff --git a/onnxruntime/core/providers/js/operators/pool.h b/onnxruntime/core/providers/js/operators/pool.h
index 5dbe5d0b8881d..5723123c0c3b8 100644
--- a/onnxruntime/core/providers/js/operators/pool.h
+++ b/onnxruntime/core/providers/js/operators/pool.h
@@ -41,7 +41,7 @@ namespace js {
 #define GLOBAL_POOL_ATTRIBUTES_JS_OBJ_MAPPING ({"format" : $1 ? "NHWC" : "NCHW"})
 #define GLOBAL_POOL_ATTRIBUTES_PARAM_LIST static_cast<int32_t>(is_channels_last)
 
-template <typename T, typename PoolType, bool is_channels_last>
+template <typename PoolType, bool is_channels_last>
 class Pool : public JsKernel, public PoolBase {
  public:
   Pool(const OpKernelInfo& info) : JsKernel(info), PoolBase(info) {
@@ -65,10 +65,10 @@ class Pool : public JsKernel, public PoolBase {
   }
 };
 
-template <typename T, bool is_channels_last>
-class Pool<T, MaxPool<8>, is_channels_last> final : public Pool<T, MaxPool<1>, is_channels_last> {
+template <bool is_channels_last>
+class Pool<MaxPool<8>, is_channels_last> final : public Pool<MaxPool<1>, is_channels_last> {
  public:
-  Pool(const OpKernelInfo& info) : Pool<T, MaxPool<1>, is_channels_last>(info) {}
+  Pool(const OpKernelInfo& info) : Pool<MaxPool<1>, is_channels_last>(info) {}
 };
 
 }  // namespace js
diff --git a/onnxruntime/core/providers/js/operators/reduce.cc b/onnxruntime/core/providers/js/operators/reduce.cc
index 21854fccc37ca..2679cfed86124 100644
--- a/onnxruntime/core/providers/js/operators/reduce.cc
+++ b/onnxruntime/core/providers/js/operators/reduce.cc
@@ -7,32 +7,30 @@ namespace onnxruntime {
 namespace js {
 
 #define REGISTER_REDUCE_ELEMENTWISE_VERSIONED_KERNEL(ReduceOp, sinceVersion, endVersion) \
-  ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_EX(                                               \
+  ONNX_OPERATOR_VERSIONED_KERNEL_EX(                                                     \
       ReduceOp,                                                                          \
       kOnnxDomain,                                                                       \
       sinceVersion, endVersion,                                                          \
-      float,                                                                             \
       kJsExecutionProvider,                                                              \
       (*KernelDefBuilder::Create())                                                      \
-          .TypeConstraint("T", DataTypeImpl::GetTensorType<float>()),                    \
-      ReduceOp<float>);
+          .TypeConstraint("T", JsepSupportedFloatTypes()),                               \
+      ReduceOp<true>);
 
 // macro REGISTER_REDUCE_ELEMENTWISE_VERSIONED_KERNEL does not set .InputMemoryType(OrtMemTypeCPU, 1), so in future if
 // a new opset version update applies to Reduce* operators, we may need to add another macro like
 // REGISTER_REDUCE_ELEMENTWISE_VERSIONED_KERNEL_WITH_AXIS_IN_INPUT to set input memory type.
 // i.e. we cannot use REGISTER_REDUCE_ELEMENTWISE_VERSIONED_KERNEL to version 18 when the opset version is increased.
 
-#define REGISTER_REDUCE_ELEMENTWISE_KERNEL(ReduceOp, sinceVersion)   \
-  ONNX_OPERATOR_TYPED_KERNEL_EX(                                     \
-      ReduceOp,                                                      \
-      kOnnxDomain,                                                   \
-      sinceVersion,                                                  \
-      float,                                                         \
-      kJsExecutionProvider,                                          \
-      (*KernelDefBuilder::Create())                                  \
-          .TypeConstraint("T", DataTypeImpl::GetTensorType<float>()) \
-          .InputMemoryType(OrtMemTypeCPU, 1),                        \
-      ReduceOp<float>);
+#define REGISTER_REDUCE_ELEMENTWISE_KERNEL(ReduceOp, sinceVersion) \
+  ONNX_OPERATOR_KERNEL_EX(                                         \
+      ReduceOp,                                                    \
+      kOnnxDomain,                                                 \
+      sinceVersion,                                                \
+      kJsExecutionProvider,                                        \
+      (*KernelDefBuilder::Create())                                \
+          .TypeConstraint("T", JsepSupportedFloatTypes())          \
+          .InputMemoryType(OrtMemTypeCPU, 1),                      \
+      ReduceOp<true>);
 
 REGISTER_REDUCE_ELEMENTWISE_VERSIONED_KERNEL(ReduceMean, 1, 10);
 REGISTER_REDUCE_ELEMENTWISE_VERSIONED_KERNEL(ReduceMean, 11, 12);
diff --git a/onnxruntime/core/providers/js/operators/reduce.h b/onnxruntime/core/providers/js/operators/reduce.h
index 19a6d298c7696..a5a4aa834c2ca 100644
--- a/onnxruntime/core/providers/js/operators/reduce.h
+++ b/onnxruntime/core/providers/js/operators/reduce.h
@@ -9,7 +9,7 @@
 namespace onnxruntime {
 namespace js {
 #define JSEP_DEFINE_REDUCE_KERNEL(ReduceKernel)                                                              \
-  template <typename T, bool allow_multi_axes = true>                                                        \
+  template <bool allow_multi_axes = true>                                                                    \
   class ReduceKernel : public JsKernel, public ReduceKernelBase<allow_multi_axes> {                          \
    public:                                                                                                   \
     using ReduceKernelBase<allow_multi_axes>::axes_;                                                         \