1 files changed, 112 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/kernels/fake_quant_test.cc b/tensorflow/contrib/lite/kernels/fake_quant_test.cc
new file mode 100644
index 0000000000..11a02f7ed7
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/fake_quant_test.cc
@@ -0,0 +1,112 @@
+/* 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 FakeQuantOpModel : public SingleOpModel {
+ public:
+  FakeQuantOpModel(const TensorData& input, const TensorType& output, float min,
+                   float max, int num_bits) {
+    input_ = AddInput(input);
+    output_ = AddOutput(output);
+    SetBuiltinOp(BuiltinOperator_FAKE_QUANT, BuiltinOptions_FakeQuantOptions,
+                 CreateFakeQuantOptions(builder_, min, max, num_bits).Union());
+    BuildInterpreter({GetShape(input_)});
+  }
+
+  template <class T>
+  void SetInput(std::initializer_list<T> data) {
+    PopulateTensor(input_, data);
+  }
+
+  template <class T>
+  std::vector<T> GetOutput() {
+    return ExtractVector<T>(output_);
+  }
+  std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
+
+ protected:
+  int input_;
+  int output_;
+};
+
+TEST(FakeQuantOpTest, FloatPositiveRange8Test) {
+  std::initializer_list<float> data = {0.0,  1.0,       0.25,
+                                       0.50, 0.4444444, 0.00001};
+  FakeQuantOpModel m({TensorType_FLOAT32, {3, 1, 2}}, TensorType_FLOAT32, 0.0f,
+                     1.0f, 8);
+  m.SetInput<float>(data);
+  m.Invoke();
+  EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 1, 2}));
+  EXPECT_THAT(
+      m.GetOutput<float>(),
+      ElementsAreArray(ArrayFloatNear({0, 1, 0.25098, 0.498039, 0.443137, 0})));
+}
+
+TEST(FakeQuantOpTest, FloatNegativeRange8Test) {
+  std::initializer_list<float> data = {0.0,  -0.9,      0.25,
+                                       0.50, 0.4444444, -0.00001};
+  FakeQuantOpModel m({TensorType_FLOAT32, {3, 1, 2}}, TensorType_FLOAT32, -0.9f,
+                     0.9f, 8);
+  m.SetInput<float>(data);
+  m.Invoke();
+  EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 1, 2}));
+  EXPECT_THAT(m.GetOutput<float>(),
+              ElementsAreArray(ArrayFloatNear(
+                  {0, -0.896471, 0.247059, 0.501176, 0.444706, 0})));
+}
+
+TEST(FakeQuantOpTest, FloatPositiveRange16Test) {
+  std::initializer_list<float> data = {0.0,  1.0,       0.25,
+                                       0.50, 0.4444444, 0.00001};
+  FakeQuantOpModel m({TensorType_FLOAT32, {3, 1, 2}}, TensorType_FLOAT32, 0.0f,
+                     1.0f, 16);
+  m.SetInput<float>(data);
+  m.Invoke();
+  EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 1, 2}));
+  EXPECT_THAT(m.GetOutput<float>(),
+              ElementsAreArray(ArrayFloatNear(
+                  {0, 1, 0.250004, 0.500008, 0.44445, 1.5259e-05})));
+}
+
+TEST(FakeQuantOpTest, FloatNegativeRange16Test) {
+  std::initializer_list<float> data = {0.0,  -0.9,      0.25,
+                                       0.50, 0.4444444, -0.00001};
+  FakeQuantOpModel m({TensorType_FLOAT32, {3, 1, 2}}, TensorType_FLOAT32, -0.9f,
+                     0.9f, 16);
+  m.SetInput<float>(data);
+  m.Invoke();
+  EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 1, 2}));
+  EXPECT_THAT(m.GetOutput<float>(),
+              ElementsAreArray(ArrayFloatNear(
+                  {0, -0.900014, 0.249998, 0.499995, 0.444431, 0})));
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}