1 files changed, 58 insertions, 0 deletions
diff --git a/testing/web-platform/tests/webnn/idlharness.https.any.js b/testing/web-platform/tests/webnn/idlharness.https.any.js
new file mode 100644
index 0000000000..6122134268
--- /dev/null
+++ b/testing/web-platform/tests/webnn/idlharness.https.any.js
@@ -0,0 +1,58 @@
+// META: global=window,dedicatedworker
+// META: script=/resources/WebIDLParser.js
+// META: script=/resources/idlharness.js
+// META: script=./resources/utils.js
+// META: timeout=long
+
+// https://webmachinelearning.github.io/webnn/
+
+'use strict';
+
+idl_test(
+  ['webnn'],
+  ['html', 'webidl', 'webgpu'],
+  async (idl_array) => {
+    if (self.GLOBAL.isWindow()) {
+      idl_array.add_objects({ Navigator: ['navigator'] });
+    } else if (self.GLOBAL.isWorker()) {
+      idl_array.add_objects({ WorkerNavigator: ['navigator'] });
+    }
+
+    idl_array.add_objects({
+      NavigatorML: ['navigator'],
+      ML: ['navigator.ml'],
+      MLContext: ['context'],
+      MLOperand: ['input', 'filter', 'output'],
+      MLOperator: ['relu'],
+      MLGraphBuilder: ['builder'],
+      MLGraph: ['graph']
+    });
+
+    for (const executionType of ExecutionArray) {
+      const isSync = executionType === 'sync';
+      if (self.GLOBAL.isWindow() && isSync) {
+        continue;
+      }
+
+      for (const deviceType of DeviceTypeArray) {
+        if (isSync) {
+          self.context = navigator.ml.createContextSync({deviceType});
+        } else {
+          self.context = await navigator.ml.createContext({deviceType});
+        }
+
+        self.builder = new MLGraphBuilder(self.context);
+        self.input = builder.input('input', {type: 'float32', dimensions: [1, 1, 5, 5]});
+        self.filter = builder.constant({type: 'float32', dimensions: [1, 1, 3, 3]}, new Float32Array(9).fill(1));
+        self.relu = builder.relu();
+        self.output = builder.conv2d(input, filter, {activation: relu, inputLayout: "nchw"});
+
+        if (isSync) {
+          self.graph = builder.buildSync({output});
+        } else {
+          self.graph = await builder.build({output});
+        }
+      }
+    }
+  }
+);