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204 lines
7.1 KiB
204 lines
7.1 KiB
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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 <fstream>
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#include <iostream>
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#include <memory>
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#include <string>
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#include "common/common.h"
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#include "minddata/dataset/core/client.h"
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#include "minddata/dataset/core/global_context.h"
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#include "minddata/dataset/core/tensor.h"
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#include "minddata/dataset/core/tensor_shape.h"
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#include "minddata/dataset/core/data_type.h"
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#include "minddata/dataset/engine/datasetops/source/sampler/distributed_sampler.h"
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#include "minddata/dataset/engine/datasetops/source/sampler/pk_sampler.h"
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#include "minddata/dataset/engine/datasetops/source/sampler/random_sampler.h"
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#include "minddata/dataset/engine/datasetops/source/sampler/sampler.h"
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#include "minddata/dataset/engine/datasetops/source/sampler/sequential_sampler.h"
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#include "minddata/dataset/engine/datasetops/source/sampler/subset_random_sampler.h"
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#include "minddata/dataset/engine/datasetops/source/sampler/weighted_random_sampler.h"
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#include "minddata/dataset/include/data_helper.h"
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#include "minddata/dataset/util/path.h"
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#include "minddata/dataset/util/status.h"
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#include "gtest/gtest.h"
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#include "utils/log_adapter.h"
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#include "securec.h"
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using namespace mindspore::dataset;
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using mindspore::MsLogLevel::ERROR;
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using mindspore::ExceptionType::NoExceptionType;
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using mindspore::LogStream;
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class MindDataTestDataHelper : public UT::DatasetOpTesting {
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protected:
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};
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TEST_F(MindDataTestDataHelper, MindDataTestHelper) {
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std::string file_path = datasets_root_path_ + "/testAlbum/images/1.json";
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DataHelper dh;
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std::vector<std::string> new_label = {"3", "4"};
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Status rc = dh.UpdateArray(file_path, "label", new_label);
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if (rc.IsError()) {
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MS_LOG(ERROR) << "Return code error detected during label update: " << ".";
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EXPECT_TRUE(false);
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}
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}
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TEST_F(MindDataTestDataHelper, MindDataTestAlbumGen) {
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std::string file_path = datasets_root_path_ + "/testAlbum/original";
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std::string out_path = datasets_root_path_ + "/testAlbum/testout";
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DataHelper dh;
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Status rc = dh.CreateAlbum(file_path, out_path);
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if (rc.IsError()) {
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MS_LOG(ERROR) << "Return code error detected during album generation: " << ".";
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EXPECT_TRUE(false);
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}
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}
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TEST_F(MindDataTestDataHelper, MindDataTestTemplateUpdateArrayInt) {
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std::string file_path = datasets_root_path_ + "/testAlbum/testout/2.json";
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DataHelper dh;
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std::vector<int> new_label = {3, 4};
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Status rc = dh.UpdateArray(file_path, "label", new_label);
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if (rc.IsError()) {
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MS_LOG(ERROR) << "Return code error detected during json int array update: " << ".";
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EXPECT_TRUE(false);
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}
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}
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TEST_F(MindDataTestDataHelper, MindDataTestTemplateUpdateArrayString) {
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std::string file_path = datasets_root_path_ + "/testAlbum/testout/3.json";
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DataHelper dh;
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std::vector<std::string> new_label = {"3", "4"};
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Status rc = dh.UpdateArray(file_path, "label", new_label);
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if (rc.IsError()) {
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MS_LOG(ERROR) << "Return code error detected during json string array update: " << ".";
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EXPECT_TRUE(false);
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}
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}
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TEST_F(MindDataTestDataHelper, MindDataTestTemplateUpdateValueInt) {
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std::string file_path = datasets_root_path_ + "/testAlbum/testout/4.json";
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DataHelper dh;
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int new_label = 3;
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Status rc = dh.UpdateValue(file_path, "label", new_label);
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if (rc.IsError()) {
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MS_LOG(ERROR) << "Return code error detected during json int update: " << ".";
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EXPECT_TRUE(false);
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}
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}
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TEST_F(MindDataTestDataHelper, MindDataTestTemplateUpdateString) {
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std::string file_path = datasets_root_path_ + "/testAlbum/testout/5.json";
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DataHelper dh;
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std::string new_label = "new label";
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Status rc = dh.UpdateValue(file_path, "label", new_label);
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if (rc.IsError()) {
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MS_LOG(ERROR) << "Return code error detected during json string update: " << ".";
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EXPECT_TRUE(false);
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}
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}
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TEST_F(MindDataTestDataHelper, MindDataTestDeleteKey) {
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std::string file_path = datasets_root_path_ + "/testAlbum/testout/5.json";
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DataHelper dh;
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Status rc = dh.RemoveKey(file_path, "label");
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if (rc.IsError()) {
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MS_LOG(ERROR) << "Return code error detected during json key remove: " << ".";
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EXPECT_TRUE(false);
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}
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}
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TEST_F(MindDataTestDataHelper, MindDataTestBinWrite) {
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std::string file_path = datasets_root_path_ + "/testAlbum/1.bin";
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DataHelper dh;
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std::vector<float> bin_content = {3, 4};
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Status rc = dh.WriteBinFile(file_path, bin_content);
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if (rc.IsError()) {
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MS_LOG(ERROR) << "Return code error detected during bin file write: " << ".";
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EXPECT_TRUE(false);
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}
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}
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TEST_F(MindDataTestDataHelper, MindDataTestBinWritePointer) {
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std::string file_path = datasets_root_path_ + "/testAlbum/2.bin";
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DataHelper dh;
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std::vector<float> bin_content = {3, 4};
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Status rc = dh.WriteBinFile(file_path, &bin_content[0], bin_content.size());
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if (rc.IsError()) {
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MS_LOG(ERROR) << "Return code error detected during binfile write: " << ".";
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EXPECT_TRUE(false);
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}
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}
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TEST_F(MindDataTestDataHelper, MindDataTestTensorWriteFloat) {
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// create tensor
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std::vector<float> y = {2.5, 3.0, 3.5, 4.0};
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std::shared_ptr<Tensor> t;
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Tensor::CreateFromVector(y, &t);
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// create buffer using system mempool
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DataHelper dh;
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void *data = malloc(t->SizeInBytes());
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if (data == nullptr) {
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MS_LOG(ERROR) << "malloc failed";
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ASSERT_TRUE(false);
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}
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auto bytes_copied = dh.DumpData(t->GetBuffer(), t->SizeInBytes(), data, t->SizeInBytes());
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if (bytes_copied != t->SizeInBytes()) {
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EXPECT_TRUE(false);
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}
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float *array = static_cast<float *>(data);
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if (array[0] != 2.5) { EXPECT_TRUE(false); }
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if (array[1] != 3.0) { EXPECT_TRUE(false); }
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if (array[2] != 3.5) { EXPECT_TRUE(false); }
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if (array[3] != 4.0) { EXPECT_TRUE(false); }
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std::free(data);
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}
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TEST_F(MindDataTestDataHelper, MindDataTestTensorWriteUInt) {
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// create tensor
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std::vector<uint8_t> y = {1, 2, 3, 4};
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std::shared_ptr<Tensor> t;
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Tensor::CreateFromVector(y, &t);
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uint8_t o;
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t->GetItemAt<uint8_t>(&o, {0, 0});
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MS_LOG(INFO) << "before op :" << std::to_string(o) << ".";
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// create buffer using system mempool
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DataHelper dh;
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void *data = malloc(t->SizeInBytes());
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if (data == nullptr) {
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MS_LOG(ERROR) << "malloc failed";
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ASSERT_TRUE(false);
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}
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auto bytes_copied = dh.DumpData(t->GetBuffer(), t->SizeInBytes(), data, t->SizeInBytes());
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if (bytes_copied != t->SizeInBytes()) {
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EXPECT_TRUE(false);
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}
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t->GetItemAt<uint8_t>(&o, {});
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MS_LOG(INFO) << "after op :" << std::to_string(o) << ".";
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uint8_t *array = static_cast<uint8_t *>(data);
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if (array[0] != 1) { EXPECT_TRUE(false); }
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if (array[1] != 2) { EXPECT_TRUE(false); }
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if (array[2] != 3) { EXPECT_TRUE(false); }
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if (array[3] != 4) { EXPECT_TRUE(false); }
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std::free(data);
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}
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