Support BatchToSpaceND in TFLite

The internal implementation only support 4D tensors for now.
The dimension has to be 1 batch + 2 spatial + 1 other.
The most common format within this restriction is NHWC.

Cropping is not supported by the internal implementation.

PiperOrigin-RevId: 179143332

1 files changed, 78 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/batch_to_space_nd_test.cc b/tensorflow/contrib/lite/kernels/batch_to_space_nd_test.cc
new file mode 100644
index 0000000000..3ec4efbebc
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/batch_to_space_nd_test.cc
@@ -0,0 +1,78 @@
+/* Copyright 2017 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 BatchToSpaceNDOpModel : public SingleOpModel {
+ public:
+  BatchToSpaceNDOpModel(std::initializer_list<int> input_shape,
+                        std::initializer_list<int> block_shape,
+                        std::initializer_list<int> before_crops,
+                        std::initializer_list<int> after_crops) {
+    input_ = AddInput(TensorType_FLOAT32);
+    output_ = AddOutput(TensorType_FLOAT32);
+    SetBuiltinOp(BuiltinOperator_BATCH_TO_SPACE_ND,
+                 BuiltinOptions_BatchToSpaceNDOptions,
+                 CreateBatchToSpaceNDOptions(
+                     builder_, builder_.CreateVector<int>(block_shape),
+                     builder_.CreateVector<int>(before_crops),
+                     builder_.CreateVector<int>(after_crops))
+                     .Union());
+    BuildInterpreter({input_shape});
+  }
+
+  void SetInput(std::initializer_list<float> data) {
+    PopulateTensor<float>(input_, data);
+  }
+
+  std::vector<float> GetOutput() { return ExtractVector<float>(output_); }
+  std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
+
+ private:
+  int input_;
+  int output_;
+};
+
+TEST(BatchToSpaceNDOpTest, SimpleTest) {
+  BatchToSpaceNDOpModel m({4, 2, 2, 1}, {2, 2}, {0, 0}, {0, 0});
+  m.SetInput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});
+  m.Invoke();
+  EXPECT_THAT(m.GetOutputShape(), ElementsAreArray({1, 4, 4, 1}));
+  EXPECT_THAT(m.GetOutput(), ElementsAreArray({1, 5, 2, 6, 9, 13, 10, 14, 3, 7,
+                                               4, 8, 11, 15, 12, 16}));
+}
+
+TEST(BatchToSpaceNDOpTest, InvalidShapeTest) {
+  EXPECT_DEATH(BatchToSpaceNDOpModel({3, 2, 2, 1}, {2, 2}, {0, 0}, {0, 0}),
+               "Cannot allocate tensors");
+}
+
+}  // namespace
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}