1 files changed, 81 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/kernels/maximum_test.cc b/tensorflow/contrib/lite/kernels/maximum_test.cc
new file mode 100644
index 0000000000..b3fd7d4e6f
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/maximum_test.cc
@@ -0,0 +1,81 @@
+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+#include <gtest/gtest.h>
+#include "tensorflow/contrib/lite/interpreter.h"
+#include "tensorflow/contrib/lite/kernels/register.h"
+#include "tensorflow/contrib/lite/kernels/test_util.h"
+#include "tensorflow/contrib/lite/model.h"
+
+namespace tflite {
+namespace {
+
+using ::testing::ElementsAreArray;
+
+class MaximumOpModel : public SingleOpModel {
+ public:
+  MaximumOpModel(const TensorData& input1, const TensorData& input2,
+                 const TensorType& output) {
+    input1_ = AddInput(input1);
+    input2_ = AddInput(input2);
+    output_ = AddOutput(output);
+    SetBuiltinOp(BuiltinOperator_MAXIMUM, BuiltinOptions_MaximumOptions,
+                 CreateMaximumOptions(builder_).Union());
+    BuildInterpreter({GetShape(input1_), GetShape(input2_)});
+  }
+
+  template <class T>
+  void SetInput1(std::initializer_list<T> data) {
+    PopulateTensor(input1_, data);
+  }
+
+  template <class T>
+  void SetInput2(std::initializer_list<T> data) {
+    PopulateTensor(input2_, data);
+  }
+
+  template <class T>
+  std::vector<T> GetOutput() {
+    return ExtractVector<T>(output_);
+  }
+  std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
+
+ protected:
+  int input1_;
+  int input2_;
+  int output_;
+};
+
+TEST(MaximumOpTest, FloatTest) {
+  std::initializer_list<float> data1 = {1.0, 0.0, -1.0, 11.0, -2.0, -1.44};
+  std::initializer_list<float> data2 = {-1.0, 0.0, 1.0, 12.0, -3.0, -1.43};
+  MaximumOpModel m({TensorType_FLOAT32, {3, 1, 2}},
+                   {TensorType_FLOAT32, {3, 1, 2}}, TensorType_FLOAT32);
+  m.SetInput1<float>(data1);
+  m.SetInput2<float>(data2);
+  m.Invoke();
+  EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 1, 2}));
+  EXPECT_THAT(
+      m.GetOutput<float>(),
+      ElementsAreArray(ArrayFloatNear({1.0, 0.0, 1.0, 12.0, -2.0, -1.43})));
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}