forked from huawei/mindspore2022
139 lines
5.9 KiB
C++
139 lines
5.9 KiB
C++
/**
|
|
* Copyright 2019-2021 Huawei Technologies Co., Ltd
|
|
*
|
|
* 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.
|
|
*/
|
|
#ifndef TESTS_UT_CPP_DATASET_COMMON_COMMON_H_
|
|
#define TESTS_UT_CPP_DATASET_COMMON_COMMON_H_
|
|
|
|
#include "gtest/gtest.h"
|
|
#include "include/api/status.h"
|
|
#include "include/api/types.h"
|
|
#include "minddata/dataset/core/client.h"
|
|
#include "minddata/dataset/core/tensor_shape.h"
|
|
#include "minddata/dataset/core/de_tensor.h"
|
|
#include "minddata/dataset/core/type_id.h"
|
|
#include "utils/log_adapter.h"
|
|
#include "minddata/dataset/engine/datasetops/batch_op.h"
|
|
#include "minddata/dataset/engine/datasetops/repeat_op.h"
|
|
#include "minddata/dataset/engine/datasetops/source/tf_reader_op.h"
|
|
#include "minddata/dataset/engine/ir/datasetops/dataset_node.h"
|
|
|
|
using mindspore::Status;
|
|
using mindspore::StatusCode;
|
|
|
|
#define ASSERT_OK(_s) \
|
|
do { \
|
|
Status __rc = (_s); \
|
|
if (__rc.IsError()) { \
|
|
MS_LOG(ERROR) << __rc.ToString() << "."; \
|
|
ASSERT_TRUE(false); \
|
|
} \
|
|
} while (false)
|
|
|
|
#define EXPECT_OK(_s) \
|
|
do { \
|
|
Status __rc = (_s); \
|
|
if (__rc.IsError()) { \
|
|
MS_LOG(ERROR) << __rc.ToString() << "."; \
|
|
EXPECT_TRUE(false); \
|
|
} \
|
|
} while (false)
|
|
|
|
#define ASSERT_ERROR(_s) \
|
|
do { \
|
|
Status __rc = (_s); \
|
|
if (__rc.IsOk()) { \
|
|
MS_LOG(ERROR) << __rc.ToString() << "."; \
|
|
ASSERT_TRUE(false); \
|
|
} \
|
|
} while (false)
|
|
|
|
#define EXPECT_ERROR(_s) \
|
|
do { \
|
|
Status __rc = (_s); \
|
|
if (__rc.IsOk()) { \
|
|
MS_LOG(ERROR) << __rc.ToString() << "."; \
|
|
EXPECT_TRUE(false); \
|
|
} \
|
|
} while (false)
|
|
|
|
// Macro to compare 2 MSTensors; compare shape-size, shape and data
|
|
#define EXPECT_MSTENSOR_EQ(_mstensor1, _mstensor2) \
|
|
do { \
|
|
EXPECT_EQ(_mstensor1.Shape().size(), _mstensor2.Shape().size()); \
|
|
for (int i = 0; i < _mstensor1.Shape().size(); i++) { \
|
|
EXPECT_EQ(_mstensor1.Shape()[i], _mstensor2.Shape()[i]); \
|
|
} \
|
|
EXPECT_EQ(_mstensor1.DataSize(), _mstensor2.DataSize()); \
|
|
EXPECT_EQ(std::memcmp((const void *)_mstensor1.Data().get(), (const void *)_mstensor2.Data().get(), \
|
|
_mstensor2.DataSize()), \
|
|
0); \
|
|
} while (false)
|
|
|
|
// Macro to invoke MS_LOG for MSTensor
|
|
#define TEST_MS_LOG_MSTENSOR(_loglevel, _msg, _mstensor) \
|
|
do { \
|
|
std::shared_ptr<Tensor> _de_tensor; \
|
|
ASSERT_OK(Tensor::CreateFromMSTensor(_mstensor, &_de_tensor)); \
|
|
MS_LOG(_loglevel) << _msg << *_de_tensor; \
|
|
} while (false)
|
|
|
|
namespace UT {
|
|
class Common : public testing::Test {
|
|
public:
|
|
// every TEST_F macro will enter one
|
|
virtual void SetUp();
|
|
|
|
virtual void TearDown();
|
|
};
|
|
|
|
class DatasetOpTesting : public Common {
|
|
public:
|
|
// Helper functions for creating datasets
|
|
std::shared_ptr<mindspore::dataset::BatchOp> Batch(int32_t batch_size = 1, bool drop = false,
|
|
mindspore::dataset::PadInfo = {});
|
|
|
|
std::shared_ptr<mindspore::dataset::RepeatOp> Repeat(int repeat_cnt = 1);
|
|
|
|
std::shared_ptr<mindspore::dataset::TFReaderOp> TFReader(std::string file, int num_works = 8);
|
|
|
|
std::shared_ptr<mindspore::dataset::ExecutionTree> Build(
|
|
std::vector<std::shared_ptr<mindspore::dataset::DatasetOp>> ops);
|
|
|
|
std::vector<mindspore::dataset::TensorShape> ToTensorShapeVec(const std::vector<std::vector<int64_t>> &v);
|
|
std::vector<mindspore::dataset::DataType> ToDETypes(const std::vector<mindspore::DataType> &t);
|
|
mindspore::MSTensor ReadFileToTensor(const std::string &file);
|
|
std::string datasets_root_path_;
|
|
std::string mindrecord_root_path_;
|
|
void SetUp() override;
|
|
};
|
|
} // namespace UT
|
|
|
|
namespace mindspore {
|
|
namespace dataset {
|
|
// defined in datasets.cc code, and function prototypes added here for UT purposes
|
|
// convert MSTensorVec to DE TensorRow, return empty if fails
|
|
TensorRow VecToRow(const MSTensorVec &v);
|
|
|
|
// defined in datasets.cc code, and function prototypes added here for UT purposes
|
|
// convert DE TensorRow to MSTensorVec, won't fail
|
|
MSTensorVec RowToVec(const TensorRow &v);
|
|
|
|
MSTensorVec Predicate1(MSTensorVec in);
|
|
|
|
MSTensorVec Predicate2(MSTensorVec in);
|
|
} // namespace dataset
|
|
} // namespace mindspore
|
|
#endif // TESTS_UT_CPP_DATASET_COMMON_COMMON_H_
|