Internal Change.

PiperOrigin-RevId: 175307445

1 files changed, 102 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/space_to_depth_test.cc b/tensorflow/contrib/lite/kernels/space_to_depth_test.cc
new file mode 100644
index 0000000000..911f08a92c
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/space_to_depth_test.cc
@@ -0,0 +1,102 @@
+/* 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::ElementsAre;
+using ::testing::ElementsAreArray;
+
+class SpaceToDepthOpModel : public SingleOpModel {
+ public:
+  SpaceToDepthOpModel(const TensorData& tensor_data, int block_size) {
+    input_ = AddInput(tensor_data);
+    output_ = AddOutput(tensor_data);
+    SetBuiltinOp(BuiltinOperator_SPACE_TO_DEPTH,
+                 BuiltinOptions_SpaceToDepthOptions,
+                 CreateSpaceToDepthOptions(builder_, block_size).Union());
+    BuildInterpreter({GetShape(input_)});
+  }
+
+  template <typename T>
+  void SetInput(std::initializer_list<T> data) {
+    PopulateTensor<T>(input_, data);
+  }
+  template <typename T>
+  std::vector<T> GetOutput() {
+    return ExtractVector<T>(output_);
+  }
+  std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
+
+ private:
+  int input_;
+  int output_;
+};
+
+TEST(SpaceToDepthOpModel, BadBlockSize) {
+  EXPECT_DEATH(SpaceToDepthOpModel({TensorType_FLOAT32, {1, 2, 2, 1}}, 3),
+               "Cannot allocate tensors");
+}
+
+TEST(SpaceToDepthOpModel, Float32) {
+  SpaceToDepthOpModel m({TensorType_FLOAT32, {1, 2, 2, 2}}, 2);
+  m.SetInput<float>({1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1});
+  m.Invoke();
+  EXPECT_THAT(m.GetOutput<float>(),
+              ElementsAreArray({1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1}));
+  EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 1, 1, 8));
+}
+
+TEST(SpaceToDepthOpModel, Uint8) {
+  SpaceToDepthOpModel m({TensorType_UINT8, {1, 2, 2, 1}}, 2);
+  m.SetInput<uint8_t>({1, 2, 3, 4});
+  m.Invoke();
+  EXPECT_THAT(m.GetOutput<uint8_t>(), ElementsAreArray({1, 2, 3, 4}));
+  EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 1, 1, 4));
+}
+
+TEST(SpaceToDepthOpModel, Int32) {
+  SpaceToDepthOpModel m({TensorType_INT32, {1, 2, 2, 3}}, 2);
+  m.SetInput<int32_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
+  m.Invoke();
+  EXPECT_THAT(m.GetOutput<int32_t>(),
+              ElementsAreArray({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}));
+  EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 1, 1, 12));
+}
+
+TEST(SpaceToDepthOpModel, Int64) {
+  SpaceToDepthOpModel m({TensorType_INT64, {1, 4, 4, 1}}, 2);
+  m.SetInput<int64_t>({1, 2, 5, 6, 3, 4, 7, 8, 9, 10, 13, 14, 11, 12, 15, 16});
+  m.Invoke();
+  EXPECT_THAT(m.GetOutput<int64_t>(),
+              ElementsAreArray(
+                  {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}));
+  EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 2, 2, 4));
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  // On Linux, add: tflite::LogToStderr();
+  tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}