Supports op exp (tf.exp) in Toco and Tensorflow Lite.

PiperOrigin-RevId: 185747281

1 files changed, 70 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/exp_test.cc b/tensorflow/contrib/lite/kernels/exp_test.cc
new file mode 100644
index 0000000000..eed67369a1
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/exp_test.cc
@@ -0,0 +1,70 @@
+/* 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 ExpOpModel : public SingleOpModel {
+ public:
+  ExpOpModel(const TensorData& input, const TensorType& output) {
+    input_ = AddInput(input);
+    output_ = AddOutput(output);
+    SetBuiltinOp(BuiltinOperator_EXP, BuiltinOptions_ExpOptions,
+                 CreateExpOptions(builder_).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(ExpOpTest, FloatTest) {
+  std::initializer_list<float> data = {1.0, 0.0, -1.0, 1.0, 1.0, -1.0};
+  ExpOpModel m({TensorType_FLOAT32, {3, 1, 2}}, TensorType_FLOAT32);
+  m.SetInput<float>(data);
+  m.Invoke();
+  EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({3, 1, 2}));
+  EXPECT_THAT(m.GetOutput<float>(),
+              ElementsAreArray(ArrayFloatNear(
+                  {2.71828, 1, 0.367879, 2.71828, 2.71828, 0.367879})));
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}