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

104 lines
3.1 KiB
C++

/**
* Copyright 2020 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 <iostream>
#include <memory>
#include <vector>
#include "common/common.h"
#include "common/utils.h"
#include "minddata/dataset/core/client.h"
#include "gtest/gtest.h"
#include "utils/log_adapter.h"
namespace common = mindspore::common;
using namespace mindspore::dataset;
using mindspore::MsLogLevel::INFO;
using mindspore::ExceptionType::NoExceptionType;
using mindspore::LogStream;
class MindDataTestTakeOp : public UT::DatasetOpTesting {};
TEST_F(MindDataTestTakeOp, TestTakeProject) {
// Start with an empty execution tree
auto my_tree = std::make_shared<ExecutionTree>();
std::string dataset_path;
dataset_path = datasets_root_path_ + "/testTFTestAllTypes/test.data";
// TFReaderOp
std::shared_ptr<TFReaderOp> my_tfreader_op;
TFReaderOp::Builder builder;
builder.SetDatasetFilesList({dataset_path})
.SetRowsPerBuffer(16)
.SetWorkerConnectorSize(16)
.SetNumWorkers(16);
std::unique_ptr<DataSchema> schema = std::make_unique<DataSchema>();
schema->LoadSchemaFile(datasets_root_path_ + "/testTFTestAllTypes/datasetSchema.json", {});
builder.SetDataSchema(std::move(schema));
Status rc = builder.Build(&my_tfreader_op);
ASSERT_TRUE(rc.IsOk());
// TakeOp
std::shared_ptr<TakeOp> my_take_op;
TakeOp::Builder builder_take(5);
rc = builder_take.Build(&my_take_op);
ASSERT_TRUE(rc.IsOk());
rc = my_tree->AssociateNode(my_tfreader_op);
ASSERT_TRUE(rc.IsOk());
rc = my_tree->AssociateNode(my_take_op);
ASSERT_TRUE(rc.IsOk());
// Set children/root layout.
rc = my_take_op->AddChild(my_tfreader_op);
ASSERT_TRUE(rc.IsOk());
rc = my_tree->AssignRoot(my_take_op);
ASSERT_TRUE(rc.IsOk());
MS_LOG(DEBUG) << "Launching tree and begin iteration.";
rc = my_tree->Prepare();
ASSERT_TRUE(rc.IsOk());
rc = my_tree->Launch();
ASSERT_TRUE(rc.IsOk());
// Start the loop of reading tensors from our pipeline
DatasetIterator di(my_tree);
TensorRow tensor_list;
rc = di.FetchNextTensorRow(&tensor_list);
ASSERT_TRUE(rc.IsOk());
int row_count = 0;
while (!tensor_list.empty()) {
MS_LOG(DEBUG) << "Row display for row #: " << row_count << ".";
// Display the tensor by calling the printer on it
for (int i = 0; i < tensor_list.size(); i++) {
std::ostringstream ss;
ss << "(" << tensor_list[i] << "): " << *tensor_list[i] << std::endl;
MS_LOG(DEBUG) << "Tensor print: " << ss.str() << ".";
}
rc = di.FetchNextTensorRow(&tensor_list);
ASSERT_TRUE(rc.IsOk());
row_count++;
}
ASSERT_EQ(row_count, 5);
}