1 files changed, 43 insertions, 0 deletions
diff --git a/testing/web-platform/tests/webnn/validation_tests/instanceNormalization.https.any.js b/testing/web-platform/tests/webnn/validation_tests/instanceNormalization.https.any.js
new file mode 100644
index 0000000000..bdd338588f
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+++ b/testing/web-platform/tests/webnn/validation_tests/instanceNormalization.https.any.js
@@ -0,0 +1,43 @@
+// META: title=validation tests for WebNN API instanceNormalization operation
+// META: global=window,dedicatedworker
+// META: script=../resources/utils_validation.js
+
+'use strict';
+
+const kExampleInputDescriptor = {
+  dataType: 'float32',
+  dimensions: [2, 2, 2, 2]
+};
+// 1D tensor descriptor which may be used for `scale`, or `bias` inputs.
+const kExample1DTensorDescriptor = {
+  dataType: 'float32',
+  dimensions: [2]
+};
+
+multi_builder_test(async (t, builder, otherBuilder) => {
+  const inputFromOtherBuilder =
+      otherBuilder.input('input', kExampleInputDescriptor);
+
+  assert_throws_js(
+      TypeError, () => builder.instanceNormalization(inputFromOtherBuilder));
+}, '[instanceNormalization] throw if input is from another builder');
+
+multi_builder_test(async (t, builder, otherBuilder) => {
+  const scaleFromOtherBuilder =
+      otherBuilder.input('scale', kExample1DTensorDescriptor);
+  const options = {scale: scaleFromOtherBuilder};
+
+  const input = builder.input('input', kExampleInputDescriptor);
+  assert_throws_js(
+      TypeError, () => builder.instanceNormalization(input, options));
+}, '[instanceNormalization] throw if scale option is from another builder');
+
+multi_builder_test(async (t, builder, otherBuilder) => {
+  const biasFromOtherBuilder =
+      otherBuilder.input('bias', kExample1DTensorDescriptor);
+  const options = {bias: biasFromOtherBuilder};
+
+  const input = builder.input('input', kExampleInputDescriptor);
+  assert_throws_js(
+      TypeError, () => builder.instanceNormalization(input, options));
+}, '[instanceNormalization] throw if bias option is from another builder');