Implementation of floor_div.

PiperOrigin-RevId: 210533721

1 files changed, 90 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/floor_div_test.cc b/tensorflow/contrib/lite/kernels/floor_div_test.cc
new file mode 100644
index 0000000000..eea69b61ac
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+++ b/tensorflow/contrib/lite/kernels/floor_div_test.cc
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+/* 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;
+
+template <typename T>
+class FloorDivModel : public SingleOpModel {
+ public:
+  FloorDivModel(const TensorData& input1, const TensorData& input2,
+                const TensorData& output) {
+    input1_ = AddInput(input1);
+    input2_ = AddInput(input2);
+    output_ = AddOutput(output);
+    SetBuiltinOp(BuiltinOperator_FLOOR_DIV, BuiltinOptions_FloorDivOptions,
+                 CreateFloorDivOptions(builder_).Union());
+    BuildInterpreter({GetShape(input1_), GetShape(input2_)});
+  }
+
+  int input1() { return input1_; }
+  int input2() { return input2_; }
+
+  std::vector<T> GetOutput() { return ExtractVector<T>(output_); }
+  std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
+
+ private:
+  int input1_;
+  int input2_;
+  int output_;
+};
+
+TEST(PowOpModel, Simple) {
+  FloorDivModel<int32_t> model({TensorType_INT32, {1, 2, 2, 1}},
+                               {TensorType_INT32, {1, 2, 2, 1}},
+                               {TensorType_INT32, {}});
+  model.PopulateTensor<int32_t>(model.input1(), {10, 9, 11, 3});
+  model.PopulateTensor<int32_t>(model.input2(), {2, 2, 3, 4});
+  model.Invoke();
+  EXPECT_THAT(model.GetOutputShape(), ElementsAre(1, 2, 2, 1));
+  EXPECT_THAT(model.GetOutput(), ElementsAre(5, 4, 3, 0));
+}
+
+TEST(PowOpModel, NegativeValue) {
+  FloorDivModel<int32_t> model({TensorType_INT32, {1, 2, 2, 1}},
+                               {TensorType_INT32, {1, 2, 2, 1}},
+                               {TensorType_INT32, {}});
+  model.PopulateTensor<int32_t>(model.input1(), {10, -9, -11, 7});
+  model.PopulateTensor<int32_t>(model.input2(), {2, 2, -3, -4});
+  model.Invoke();
+  EXPECT_THAT(model.GetOutputShape(), ElementsAre(1, 2, 2, 1));
+  EXPECT_THAT(model.GetOutput(), ElementsAre(5, -5, 3, -2));
+}
+
+TEST(PowOpModel, BroadcastFloorDiv) {
+  FloorDivModel<int32_t> model({TensorType_INT32, {1, 2, 2, 1}},
+                               {TensorType_INT32, {1}}, {TensorType_INT32, {}});
+  model.PopulateTensor<int32_t>(model.input1(), {10, -9, -11, 7});
+  model.PopulateTensor<int32_t>(model.input2(), {-3});
+  model.Invoke();
+  EXPECT_THAT(model.GetOutputShape(), ElementsAre(1, 2, 2, 1));
+  EXPECT_THAT(model.GetOutput(), ElementsAre(-4, 3, 3, -3));
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}