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

146 lines
4.9 KiB
C++

/**
* Copyright 2019 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 <string>
#include "dataset/util/circular_pool.h"
#include "dataset/core/client.h"
#include "dataset/engine/execution_tree.h"
#include "dataset/engine/datasetops/shuffle_op.h"
#include "dataset/engine/datasetops/source/storage_op.h"
#include "common/common.h"
#include "gtest/gtest.h"
#include "dataset/util/de_error.h"
#include "utils/log_adapter.h"
using namespace mindspore::dataset;
using mindspore::MsLogLevel::INFO;
using mindspore::ExceptionType::NoExceptionType;
using mindspore::LogStream;
class MindDataTestExecutionTree : public UT::DatasetOpTesting {
public:
};
// Construct some tree nodes and play with them
TEST_F(MindDataTestExecutionTree, TestExecutionTree1) {
MS_LOG(INFO) << "Doing MindDataTestExecutionTree1.";
// Start with an empty execution tree
auto my_tree = std::make_shared<ExecutionTree>();
ASSERT_NE(my_tree, nullptr);
uint32_t shuffle_size = 32;
uint32_t connector_size = 8;
std::shared_ptr<ShuffleOp> leaf_op1 =
std::make_shared<ShuffleOp>(shuffle_size, 0, connector_size, false, 32);
ASSERT_NE(leaf_op1, nullptr);
my_tree->AssociateNode(leaf_op1);
shuffle_size = 16;
std::shared_ptr<ShuffleOp> leaf_op2 =
std::make_shared<ShuffleOp>(shuffle_size, 0, connector_size, false, 32);
ASSERT_NE(leaf_op2, nullptr);
my_tree->AssociateNode(leaf_op2);
shuffle_size = 8;
std::shared_ptr<ShuffleOp> parent_op =
std::make_shared<ShuffleOp>(shuffle_size, 0, connector_size, false, 32);
ASSERT_NE(parent_op, nullptr);
my_tree->AssociateNode(parent_op);
// It's up to you if you want to use move semantic or not here.
// By using move, we transfer ownership of the child to the parent.
// If you do not use move,
// we get a reference count bump to the pointer and you have
// your own pointer to it, plus the parent has a copy of the pointer.
parent_op->AddChild(std::move(leaf_op1));
parent_op->AddChild(std::move(leaf_op2));
shuffle_size = 4;
std::shared_ptr<DatasetOp> root_op =
std::make_shared<ShuffleOp>(shuffle_size, 0, connector_size, false, 32);
my_tree->AssignRoot(root_op);
root_op->AddChild(parent_op);
ASSERT_NE(root_op, nullptr);
// Testing Iterator
MS_LOG(INFO) << "Testing Tree Iterator from root.";
for (auto itr = my_tree->begin(); itr != my_tree->end(); ++itr) {
itr->Print(std::cout, false);
}
MS_LOG(INFO) << "Finished testing Tree Iterator from root.";
MS_LOG(INFO) << "Testing Tree Iterator from parentOp.";
for (auto itr = my_tree->begin(parent_op); itr != my_tree->end(); ++itr) {
itr->Print(std::cout, false);
}
MS_LOG(INFO) << "Finished testing Tree Iterator from parentOp.";
// At this point, since move semantic was used,
// I don't have any operator access myself now.
// Ownership is fully transferred into the tree.
// explicitly drive tree destruction rather than
// wait for descoping (to examine in debugger
// just to see it work)
my_tree.reset();
MS_LOG(INFO) << "Done.";
}
// Construct some tree nodes and play with them
TEST_F(MindDataTestExecutionTree, TestExecutionTree2) {
MS_LOG(INFO) << "Doing MindDataTestExecutionTree2.";
Status rc;
auto my_tree = std::make_shared<ExecutionTree>();
std::string dataset_path = datasets_root_path_ + "/testDataset1";
std::shared_ptr<StorageOp> my_storage_op;
StorageOp::Builder()
.SetDatasetFilesDir(dataset_path)
.SetRowsPerBuffer(2)
.SetWorkerConnectorSize(2)
.SetNumWorkers(2)
.Build(&my_storage_op);
my_tree->AssociateNode(my_storage_op);
my_tree->AssignRoot(my_storage_op);
// prepare the tree
my_tree->Prepare();
// Launch the tree execution to kick off threads
// and start running the pipeline
MS_LOG(INFO) << "Launching my tree.";
my_tree->Launch();
// Simulate a parse of data from our pipeline.
std::shared_ptr<DatasetOp> root_node = my_tree->root();
// Start the loop of reading from our pipeline using iterator
MS_LOG(INFO) << "Testing DatasetIterator in testTree2.";
DatasetIterator di(my_tree);
TensorRow buffer;
rc = di.FetchNextTensorRow(&buffer);
EXPECT_TRUE(rc.IsOk());
while (!buffer.empty()) {
rc = di.FetchNextTensorRow(&buffer);
EXPECT_TRUE(rc.IsOk());
}
}
// Construct some tree nodes and play with them
TEST_F(MindDataTestExecutionTree, TestExecutionTree3) {
MS_LOG(INFO) << "Doing MindDataTestExecutionTree3.";
}