Implement ZerosLike

PiperOrigin-RevId: 213227615

1 files changed, 78 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/zeros_like_test.cc b/tensorflow/contrib/lite/kernels/zeros_like_test.cc
new file mode 100644
index 0000000000..d3382d1d5b
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/zeros_like_test.cc
@@ -0,0 +1,78 @@
+/* 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 ZerosLikeOpModel : public SingleOpModel {
+ public:
+  explicit ZerosLikeOpModel(const TensorData& input) {
+    input_ = AddInput(input);
+    output_ = AddOutput(input);
+    SetBuiltinOp(BuiltinOperator_ZEROS_LIKE, BuiltinOptions_ZerosLikeOptions,
+                 CreateZerosLikeOptions(builder_).Union());
+    BuildInterpreter({GetShape(input_)});
+  }
+
+  int input() { return input_; }
+  int output() { return output_; }
+
+ protected:
+  int input_;
+  int output_;
+};
+
+TEST(ZerosLikeOpModel, ZerosLikeFloat) {
+  ZerosLikeOpModel m({TensorType_FLOAT32, {2, 3}});
+  m.PopulateTensor<float>(m.input(), {-2.0, -1.0, 0.0, 1.0, 2.0, 3.0});
+  m.Invoke();
+  EXPECT_THAT(m.ExtractVector<float>(m.output()),
+              ElementsAreArray({0.0, 0.0, 0.0, 0.0, 0.0, 0.0}));
+  EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({2, 3}));
+}
+
+TEST(ZerosLikeOpModel, ZerosLikeInt32) {
+  ZerosLikeOpModel m({TensorType_INT32, {1, 2, 2, 1}});
+  m.PopulateTensor<int32_t>(m.input(), {-2, -1, 0, 3});
+  m.Invoke();
+  EXPECT_THAT(m.ExtractVector<int32_t>(m.output()),
+              ElementsAreArray({0, 0, 0, 0}));
+  EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 2, 2, 1}));
+}
+
+TEST(ZerosLikeOpModel, ZerosLikeInt64) {
+  ZerosLikeOpModel m({TensorType_INT64, {1, 2, 2, 1}});
+  m.PopulateTensor<int64_t>(m.input(), {-2, -1, 0, 3});
+  m.Invoke();
+  EXPECT_THAT(m.ExtractVector<int64_t>(m.output()),
+              ElementsAreArray({0, 0, 0, 0}));
+  EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 2, 2, 1}));
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}