[JS/Web] Enabled 1d spacial input to GlobalAveragePool (#17973)

### Description
Enable one-dim special  input to GlobalAveragePoll input



### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Currently only 2D input is supported.

js/web/lib/wasm/jsep/webgpu/ops/pool.ts

@@ -18,16 +18,18 @@ const validateInputs = (inputs: readonly TensorView[]): void => {
   if (!inputs || inputs.length !== 1) {
     throw new Error('Pool ops requires 1 input.');
   }
-  if (inputs[0].dims.length !== 4) {
-    throw new Error('Pool ops supports 2-D inputs only for now.');
+  if (inputs[0].dims.length !== 4 && inputs[0].dims.length !== 3) {
+    throw new Error('Pool ops supports 1-D or 2-D inputs only for now.');
   }
 };
 
 const getAdjustedPoolAttributesAndOutputShape = <AttributeType extends AveragePoolAttributes|MaxPoolAttributes>(
     input: TensorView, attributes: AttributeType, isGlobalOperator: boolean): [AttributeType, number[]] => {
   const isChannelsLast = attributes.format === 'NHWC';
-  const inputShapeAsChannelFirst =
-      isChannelsLast ? [input.dims[0], input.dims[3], input.dims[1], input.dims[2]] : input.dims.slice();
+  const inputShapeAsChannelFirst = input.dims.slice();
+  if (isChannelsLast) {
+    inputShapeAsChannelFirst.splice(1, 0, inputShapeAsChannelFirst.pop()!);  // Move channel to the second position.
+  }
   const hasDilations = Object.hasOwnProperty.call(attributes, 'dilations');
   const kernelShape = attributes.kernelShape.slice();
   const strides = attributes.strides.slice();
@@ -44,15 +46,9 @@ const getAdjustedPoolAttributesAndOutputShape = <AttributeType extends AveragePo
   } else {
     Object.assign(newAttributes, {kernelShape, strides, pads, cacheKey: attributes.cacheKey});
   }
-  return [
-    newAttributes,
-    isChannelsLast ?
-        [
-          outputShapeAsChannelFirst[0], outputShapeAsChannelFirst[2], outputShapeAsChannelFirst[3],
-          outputShapeAsChannelFirst[1]
-        ] :
-        outputShapeAsChannelFirst
-  ];
+  const outputShapeAsChannelLast = outputShapeAsChannelFirst.slice();
+  outputShapeAsChannelLast.push(outputShapeAsChannelLast.splice(1, 1)[0]);
+  return [newAttributes, isChannelsLast ? outputShapeAsChannelLast : outputShapeAsChannelFirst];
 };
 
 const generatePoolingCode = <AttributeType extends AveragePoolAttributes|MaxPoolAttributes>(
@@ -76,22 +72,22 @@ const generatePoolingCode = <AttributeType extends AveragePoolAttributes|MaxPool
     let codeHEnd = '';
     if (pwStart + pwEnd !== 0) {
       codeW = `
-              for (var i: u32 = 0u; i < ${kw}u; i++) {
-                xIndices[${dimIdxW}] = indices[${dimIdxW}] * ${sw} - ${pwStart} + i;
-                if (xIndices[${dimIdxW}] < 0 || xIndices[${dimIdxW}] >= ${inputDims[dimIdxW]}) {
-                  pad++;
-                  continue;
-                }
-                let x_val = x[${x.indicesToOffset('xIndices')}];
-                ${op1}
-              }`;
+                for (var i: u32 = 0u; i < ${kw}u; i++) {
+                  xIndices[${dimIdxW}] = indices[${dimIdxW}] * ${sw} - ${pwStart} + i;
+                  if (xIndices[${dimIdxW}] < 0 || xIndices[${dimIdxW}] >= ${inputDims[dimIdxW]}) {
+                    pad++;
+                    continue;
+                  }
+                  let x_val = x[${x.indicesToOffset('xIndices')}];
+                  ${op1}
+                }`;
     } else {
       codeW = `
-              for (var i: u32 = 0u; i < ${kw}u; i++) {
-                xIndices[${dimIdxW}] = indices[${dimIdxW}] * ${sw} - ${pwStart} + i;
-                let x_val = x[${x.indicesToOffset('xIndices')}];
-                ${op1}
-              }`;
+                for (var i: u32 = 0u; i < ${kw}u; i++) {
+                  xIndices[${dimIdxW}] = indices[${dimIdxW}] * ${sw} - ${pwStart} + i;
+                  let x_val = x[${x.indicesToOffset('xIndices')}];
+                  ${op1}
+                }`;
     }
 
     if (attributes.kernelShape.length === 2) {