1 files changed, 120 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/kernels/pack_test.cc b/tensorflow/contrib/lite/kernels/pack_test.cc
new file mode 100644
index 0000000000..485a50ad3a
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/pack_test.cc
@@ -0,0 +1,120 @@
+/* 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::ElementsAre;
+using ::testing::ElementsAreArray;
+
+template <typename T>
+class PackOpModel : public SingleOpModel {
+ public:
+  PackOpModel(const TensorData& input_template, int axis, int values_count) {
+    std::vector<std::vector<int>> all_input_shapes;
+    for (int i = 0; i < values_count; ++i) {
+      all_input_shapes.push_back(input_template.shape);
+      AddInput(input_template);
+    }
+    output_ = AddOutput({input_template.type, /*shape=*/{}, input_template.min,
+                         input_template.max});
+    SetBuiltinOp(BuiltinOperator_PACK, BuiltinOptions_PackOptions,
+                 CreatePackOptions(builder_, values_count, axis).Union());
+    BuildInterpreter(all_input_shapes);
+  }
+
+  void SetInput(int index, std::initializer_list<T> data) {
+    PopulateTensor(index, data);
+  }
+
+  std::vector<T> GetOutput() { return ExtractVector<T>(output_); }
+  std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
+
+ private:
+  int output_;
+};
+
+TEST(PackOpTest, FloatThreeInputs) {
+  PackOpModel<float> model({TensorType_FLOAT32, {2}}, 0, 3);
+  model.SetInput(0, {1, 4});
+  model.SetInput(1, {2, 5});
+  model.SetInput(2, {3, 6});
+  model.Invoke();
+  EXPECT_THAT(model.GetOutputShape(), ElementsAre(3, 2));
+  EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 4, 2, 5, 3, 6}));
+}
+
+TEST(PackOpTest, FloatThreeInputsDifferentAxis) {
+  PackOpModel<float> model({TensorType_FLOAT32, {2}}, 1, 3);
+  model.SetInput(0, {1, 4});
+  model.SetInput(1, {2, 5});
+  model.SetInput(2, {3, 6});
+  model.Invoke();
+  EXPECT_THAT(model.GetOutputShape(), ElementsAre(2, 3));
+  EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 2, 3, 4, 5, 6}));
+}
+
+TEST(PackOpTest, FloatMultilDimensions) {
+  PackOpModel<float> model({TensorType_FLOAT32, {2, 3}}, 1, 2);
+  model.SetInput(0, {1, 2, 3, 4, 5, 6});
+  model.SetInput(1, {7, 8, 9, 10, 11, 12});
+  model.Invoke();
+  EXPECT_THAT(model.GetOutputShape(), ElementsAre(2, 2, 3));
+  EXPECT_THAT(model.GetOutput(),
+              ElementsAreArray({1, 2, 3, 7, 8, 9, 4, 5, 6, 10, 11, 12}));
+}
+
+TEST(PackOpTest, IntThreeInputs) {
+  PackOpModel<int32_t> model({TensorType_INT32, {2}}, 0, 3);
+  model.SetInput(0, {1, 4});
+  model.SetInput(1, {2, 5});
+  model.SetInput(2, {3, 6});
+  model.Invoke();
+  EXPECT_THAT(model.GetOutputShape(), ElementsAre(3, 2));
+  EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 4, 2, 5, 3, 6}));
+}
+
+TEST(PackOpTest, IntThreeInputsDifferentAxis) {
+  PackOpModel<int32_t> model({TensorType_INT32, {2}}, 1, 3);
+  model.SetInput(0, {1, 4});
+  model.SetInput(1, {2, 5});
+  model.SetInput(2, {3, 6});
+  model.Invoke();
+  EXPECT_THAT(model.GetOutputShape(), ElementsAre(2, 3));
+  EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 2, 3, 4, 5, 6}));
+}
+
+TEST(PackOpTest, IntMultilDimensions) {
+  PackOpModel<int32_t> model({TensorType_INT32, {2, 3}}, 1, 2);
+  model.SetInput(0, {1, 2, 3, 4, 5, 6});
+  model.SetInput(1, {7, 8, 9, 10, 11, 12});
+  model.Invoke();
+  EXPECT_THAT(model.GetOutputShape(), ElementsAre(2, 2, 3));
+  EXPECT_THAT(model.GetOutput(),
+              ElementsAreArray({1, 2, 3, 7, 8, 9, 4, 5, 6, 10, 11, 12}));
+}
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}