Add webnn batchnorm tests

webnn/batch_normalization.https.any.js

@@ -0,0 +1,31 @@
+// META: title=test WebNN API batchNormalization operation
+// META: global=window,dedicatedworker
+// META: script=./resources/utils.js
+// META: timeout=long
+
+'use strict';
+
+// https://webmachinelearning.github.io/webnn/#api-mlgraphbuilder-batchnorm
+
+const buildBatchNorm = (operationName, builder, resources) => {
+  // MLOperand batchNormalization(MLOperand input, MLOperand mean, MLOperand variance,
+  //                              optional MLBatchNormalizationOptions options = {});
+  const namedOutputOperand = {};
+  const [inputOperand, meanOperand, varianceOperand] = createMultiInputOperands(builder, resources);
+  const batchNormOptions = {...resources.options};
+  if (batchNormOptions.scale) {
+    batchNormOptions.scale = createConstantOperand(builder, batchNormOptions.scale);
+  }
+  if (batchNormOptions.bias) {
+    batchNormOptions.bias = createConstantOperand(builder, batchNormOptions.bias);
+  }
+  if (batchNormOptions.activation) {
+    batchNormOptions.activation = builder[batchNormOptions.activation]();
+  }
+  // invoke builder.batchNormalization()
+  namedOutputOperand[resources.expected.name] =
+      builder[operationName](inputOperand, meanOperand, varianceOperand, batchNormOptions);
+  return namedOutputOperand;
+};
+
+testWebNNOperation('batchNormalization', '/webnn/resources/test_data/batch_normalization.json', buildBatchNorm);