mindspore/tests/ut/cpp/dataset/c_api_repeat_test.cc

55 lines
1.7 KiB
C++

/**
* Copyright 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.
*/
#include "common/common.h"
#include "minddata/dataset/include/dataset/datasets.h"
using namespace mindspore::dataset;
using mindspore::dataset::Tensor;
class MindDataTestPipeline : public UT::DatasetOpTesting {
protected:
};
TEST_F(MindDataTestPipeline, TestRepeatSetNumWorkers) {
MS_LOG(INFO) << "Doing MindDataTestRepeat-TestRepeatSetNumWorkers.";
std::string file_path = datasets_root_path_ + "/testTFTestAllTypes/test.data";
std::shared_ptr<Dataset> ds = TFRecord({file_path});
ds = ds->SetNumWorkers(8);
ds = ds->Repeat(32);
// Create an iterator over the result of the above dataset
std::shared_ptr<Iterator> iter = ds->CreateIterator();
// Expect a valid iterator
ASSERT_NE(iter, nullptr);
// Iterate the dataset and get each row
std::unordered_map<std::string, mindspore::MSTensor> row;
ASSERT_OK(iter->GetNextRow(&row));
uint64_t i = 0;
while (row.size() != 0) {
i++;
ASSERT_OK(iter->GetNextRow(&row));
}
// Verify correct number of rows fetched
EXPECT_EQ(i, 12 * 32);
// Manually terminate the pipeline
iter->Stop();
}