Internal Change.

PiperOrigin-RevId: 175307445

1 files changed, 101 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/local_response_norm_test.cc b/tensorflow/contrib/lite/kernels/local_response_norm_test.cc
new file mode 100644
index 0000000000..63a8b0a3d0
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/local_response_norm_test.cc
@@ -0,0 +1,101 @@
+/* Copyright 2017 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 LocalResponseNormOpModel : public SingleOpModel {
+ public:
+  LocalResponseNormOpModel(std::initializer_list<int> input_shape, int radius,
+                           float bias, float alpha, float beta) {
+    input_ = AddInput(TensorType_FLOAT32);
+    output_ = AddOutput(TensorType_FLOAT32);
+    SetBuiltinOp(BuiltinOperator_LOCAL_RESPONSE_NORMALIZATION,
+                 BuiltinOptions_LocalResponseNormalizationOptions,
+                 CreateLocalResponseNormalizationOptions(builder_, radius, bias,
+                                                         alpha, beta)
+                     .Union());
+    BuildInterpreter({input_shape});
+  }
+
+  void SetInput(std::initializer_list<float> data) {
+    PopulateTensor(input_, data);
+  }
+
+  std::vector<float> GetOutput() { return ExtractVector<float>(output_); }
+
+ private:
+  int input_;
+  int output_;
+};
+
+TEST(LocalResponseNormOpTest, SameAsL2Norm) {
+  LocalResponseNormOpModel m({1, 1, 1, 6}, /*radius=*/20, /*bias=*/0.0,
+                             /*alpha=*/1.0, /*beta=*/0.5);
+  m.SetInput({-1.1, 0.6, 0.7, 1.2, -0.7, 0.1});
+  m.Invoke();
+  // The result is every input divided by 2.
+  EXPECT_THAT(
+      m.GetOutput(),
+      ElementsAreArray(ArrayFloatNear({-0.55, 0.3, 0.35, 0.6, -0.35, 0.05})));
+}
+
+TEST(LocalResponseNormOpTest, WithAlpha) {
+  LocalResponseNormOpModel m({1, 1, 1, 6}, /*radius=*/20, /*bias=*/0.0,
+                             /*alpha=*/4.0, /*beta=*/0.5);
+  m.SetInput({-1.1, 0.6, 0.7, 1.2, -0.7, 0.1});
+  m.Invoke();
+  // The result is every input divided by 3.
+  EXPECT_THAT(m.GetOutput(), ElementsAreArray(ArrayFloatNear(
+                                 {-0.275, 0.15, 0.175, 0.3, -0.175, 0.025})));
+}
+
+TEST(LocalResponseNormOpTest, WithBias) {
+  LocalResponseNormOpModel m({1, 1, 1, 6}, /*radius=*/20, /*bias=*/9.0,
+                             /*alpha=*/4.0, /*beta=*/0.5);
+  m.SetInput({-1.1, 0.6, 0.7, 1.2, -0.7, 0.1});
+  m.Invoke();
+  // The result is every input divided by 5.
+  EXPECT_THAT(
+      m.GetOutput(),
+      ElementsAreArray(ArrayFloatNear({-0.22, 0.12, 0.14, 0.24, -0.14, 0.02})));
+}
+
+TEST(LocalResponseNormOpTest, SmallRadius) {
+  LocalResponseNormOpModel m({1, 1, 1, 6}, /*radius=*/2, /*bias=*/9.0,
+                             /*alpha=*/4.0, /*beta=*/0.5);
+  m.SetInput({-1.1, 0.6, 0.7, 1.2, -0.7, 0.1});
+  m.Invoke();
+  EXPECT_THAT(
+      m.GetOutput(),
+      ElementsAreArray(ArrayFloatNear(
+          {-0.264926, 0.125109, 0.140112, 0.267261, -0.161788, 0.0244266})));
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  // On Linux, add: tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}