Implement neg op

PiperOrigin-RevId: 195435079

1 files changed, 80 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/neg_test.cc b/tensorflow/contrib/lite/kernels/neg_test.cc
new file mode 100644
index 0000000000..3c95ac8cc2
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/neg_test.cc
@@ -0,0 +1,80 @@
+/* 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 NegOpModel : public SingleOpModel {
+ public:
+  NegOpModel(const TensorData& input, const TensorData& output) {
+    input_ = AddInput(input);
+    output_ = AddOutput(output);
+    SetBuiltinOp(BuiltinOperator_NEG, BuiltinOptions_NegOptions,
+                 CreateNegOptions(builder_).Union());
+    BuildInterpreter({GetShape(input_)});
+  }
+
+  template <class T>
+  void SetInput(std::initializer_list<T> data) {
+    PopulateTensor<T>(input_, data);
+  }
+
+  template <class T>
+  std::vector<T> GetOutput() {
+    return ExtractVector<T>(output_);
+  }
+
+ protected:
+  int input_;
+  int output_;
+};
+
+TEST(NegOpModel, NegFloat) {
+  NegOpModel m({TensorType_FLOAT32, {2, 3}}, {TensorType_FLOAT32, {2, 3}});
+  m.SetInput<float>({-2.0f, -1.0f, 0.f, 1.0f, 2.0f, 3.0f});
+  m.Invoke();
+  EXPECT_THAT(m.GetOutput<float>(),
+              ElementsAreArray({2.0f, 1.0f, 0.f, -1.0f, -2.0f, -3.0f}));
+}
+
+TEST(NegOpModel, NegInt32) {
+  NegOpModel m({TensorType_INT32, {2, 3}}, {TensorType_INT32, {2, 3}});
+  m.SetInput<int32>({-2, -1, 0, 1, 2, 3});
+  m.Invoke();
+  EXPECT_THAT(m.GetOutput<int32>(), ElementsAreArray({2, 1, 0, -1, -2, -3}));
+}
+
+TEST(NegOpModel, NegInt64) {
+  NegOpModel m({TensorType_INT64, {2, 3}}, {TensorType_INT64, {2, 3}});
+  m.SetInput<int64_t>({-2, -1, 0, 1, 2, 3});
+  m.Invoke();
+  EXPECT_THAT(m.GetOutput<int64_t>(), ElementsAreArray({2, 1, 0, -1, -2, -3}));
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}