106 lines
3.5 KiB
C++
106 lines
3.5 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <gtest/gtest.h>
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#include "tensorflow/lite/interpreter.h"
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#include "tensorflow/lite/kernels/register.h"
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#include "tensorflow/lite/kernels/test_util.h"
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#include "tensorflow/lite/model.h"
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namespace tflite {
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namespace {
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using ::testing::ElementsAre;
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using ::testing::ElementsAreArray;
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class SpaceToDepthOpModel : public SingleOpModel {
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public:
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SpaceToDepthOpModel(const TensorData& tensor_data, int block_size) {
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input_ = AddInput(tensor_data);
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output_ = AddOutput(tensor_data);
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SetBuiltinOp(BuiltinOperator_SPACE_TO_DEPTH,
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BuiltinOptions_SpaceToDepthOptions,
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CreateSpaceToDepthOptions(builder_, block_size).Union());
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BuildInterpreter({GetShape(input_)});
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}
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template <typename T>
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void SetInput(std::initializer_list<T> data) {
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PopulateTensor<T>(input_, data);
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}
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template <typename T>
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std::vector<T> GetOutput() {
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return ExtractVector<T>(output_);
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}
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std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
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private:
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int input_;
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int output_;
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};
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#ifdef GTEST_HAS_DEATH_TEST
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TEST(SpaceToDepthOpModel, BadBlockSize) {
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EXPECT_DEATH(SpaceToDepthOpModel({TensorType_FLOAT32, {1, 2, 2, 1}}, 3),
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"Cannot allocate tensors");
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}
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#endif
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TEST(SpaceToDepthOpModel, Float32) {
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SpaceToDepthOpModel m({TensorType_FLOAT32, {1, 2, 2, 2}}, 2);
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m.SetInput<float>({1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1});
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m.Invoke();
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EXPECT_THAT(m.GetOutput<float>(),
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ElementsAreArray({1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1}));
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EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 1, 1, 8));
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}
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TEST(SpaceToDepthOpModel, Uint8) {
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SpaceToDepthOpModel m({TensorType_UINT8, {1, 2, 2, 1}}, 2);
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m.SetInput<uint8_t>({1, 2, 3, 4});
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m.Invoke();
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EXPECT_THAT(m.GetOutput<uint8_t>(), ElementsAreArray({1, 2, 3, 4}));
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EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 1, 1, 4));
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}
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TEST(SpaceToDepthOpModel, int8) {
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SpaceToDepthOpModel m({TensorType_INT8, {1, 2, 2, 1}}, 2);
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m.SetInput<int8_t>({1, 2, 3, 4});
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m.Invoke();
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EXPECT_THAT(m.GetOutput<int8_t>(), ElementsAreArray({1, 2, 3, 4}));
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EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 1, 1, 4));
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}
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TEST(SpaceToDepthOpModel, Int32) {
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SpaceToDepthOpModel m({TensorType_INT32, {1, 2, 2, 3}}, 2);
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m.SetInput<int32_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
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m.Invoke();
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EXPECT_THAT(m.GetOutput<int32_t>(),
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ElementsAreArray({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}));
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EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 1, 1, 12));
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}
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TEST(SpaceToDepthOpModel, Int64) {
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SpaceToDepthOpModel m({TensorType_INT64, {1, 4, 4, 1}}, 2);
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m.SetInput<int64_t>({1, 2, 5, 6, 3, 4, 7, 8, 9, 10, 13, 14, 11, 12, 15, 16});
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m.Invoke();
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EXPECT_THAT(m.GetOutput<int64_t>(),
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ElementsAreArray(
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{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}));
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EXPECT_THAT(m.GetOutputShape(), ElementsAre(1, 2, 2, 4));
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}
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} // namespace
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} // namespace tflite
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