111 lines
3.6 KiB
C++
111 lines
3.6 KiB
C++
/* 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 <stdint.h>
|
|
|
|
#include <initializer_list>
|
|
#include <vector>
|
|
|
|
#include <gmock/gmock.h>
|
|
#include <gtest/gtest.h>
|
|
#include "flatbuffers/flatbuffers.h" // from @flatbuffers
|
|
#include "tensorflow/lite/kernels/test_util.h"
|
|
#include "tensorflow/lite/schema/schema_generated.h"
|
|
|
|
namespace tflite {
|
|
namespace {
|
|
|
|
using ::testing::ElementsAre;
|
|
using ::testing::ElementsAreArray;
|
|
|
|
class DepthToSpaceOpModel : public SingleOpModel {
|
|
public:
|
|
DepthToSpaceOpModel(const TensorData& tensor_data, int block_size) {
|
|
input_ = AddInput(tensor_data);
|
|
output_ = AddOutput(tensor_data);
|
|
SetBuiltinOp(BuiltinOperator_DEPTH_TO_SPACE,
|
|
BuiltinOptions_DepthToSpaceOptions,
|
|
CreateDepthToSpaceOptions(builder_, block_size).Union());
|
|
BuildInterpreter({GetShape(input_)});
|
|
}
|
|
|
|
template <typename T>
|
|
void SetInput(std::initializer_list<T> data) {
|
|
PopulateTensor<T>(input_, data);
|
|
}
|
|
template <typename T>
|
|
std::vector<T> GetOutput() {
|
|
return ExtractVector<T>(output_);
|
|
}
|
|
std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
|
|
|
|
private:
|
|
int input_;
|
|
int output_;
|
|
};
|
|
|
|
#ifdef GTEST_HAS_DEATH_TEST
|
|
TEST(DepthToSpaceOpModel, BadBlockSize) {
|
|
EXPECT_DEATH(DepthToSpaceOpModel({TensorType_FLOAT32, {1, 1, 1, 4}}, 4),
|
|
"Cannot allocate tensors");
|
|
}
|
|
#endif
|
|
|
|
TEST(DepthToSpaceOpModel, Float32) {
|
|
DepthToSpaceOpModel m({TensorType_FLOAT32, {1, 1, 1, 4}}, 2);
|
|
m.SetInput<float>({1.4, 2.3, 3.2, 4.1});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.GetOutput<float>(), ElementsAreArray({1.4, 2.3, 3.2, 4.1}));
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 2, 2, 1));
|
|
}
|
|
|
|
TEST(DepthToSpaceOpModel, Uint8) {
|
|
DepthToSpaceOpModel m({TensorType_UINT8, {1, 1, 2, 4}}, 2);
|
|
m.SetInput<uint8_t>({1, 2, 3, 4, 5, 6, 7, 8});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.GetOutput<uint8_t>(),
|
|
ElementsAreArray({1, 2, 5, 6, 3, 4, 7, 8}));
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 2, 4, 1));
|
|
}
|
|
|
|
TEST(DepthToSpaceOpModel, int8) {
|
|
DepthToSpaceOpModel m({TensorType_INT8, {1, 2, 1, 4}}, 2);
|
|
m.SetInput<int8_t>({1, 2, 3, 4, 5, 6, 7, 8});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.GetOutput<int8_t>(),
|
|
ElementsAreArray({1, 2, 3, 4, 5, 6, 7, 8}));
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 4, 2, 1));
|
|
}
|
|
|
|
TEST(DepthToSpaceOpModel, Int32) {
|
|
DepthToSpaceOpModel m({TensorType_INT32, {1, 2, 2, 4}}, 2);
|
|
m.SetInput<int32_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.GetOutput<int32_t>(),
|
|
ElementsAreArray(
|
|
{1, 2, 5, 6, 3, 4, 7, 8, 9, 10, 13, 14, 11, 12, 15, 16}));
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 4, 4, 1));
|
|
}
|
|
|
|
TEST(DepthToSpaceOpModel, Int64) {
|
|
DepthToSpaceOpModel m({TensorType_INT64, {1, 1, 1, 1}}, 1);
|
|
m.SetInput<int64_t>({4});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.GetOutput<int64_t>(), ElementsAreArray({4}));
|
|
EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 1, 1, 1));
|
|
}
|
|
|
|
} // namespace
|
|
} // namespace tflite
|