forked from huawei/mindspore2022
113 lines
4.2 KiB
C++
113 lines
4.2 KiB
C++
/**
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* Copyright 2019 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 <string>
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#include "minddata/dataset/util/circular_pool.h"
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#include "minddata/dataset/core/client.h"
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#include "minddata/dataset/engine/execution_tree.h"
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#include "minddata/dataset/engine/datasetops/shuffle_op.h"
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#include "minddata/dataset/engine/datasetops/source/tf_reader_op.h"
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#include "minddata/dataset/engine/jagged_connector.h"
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#include "common/common.h"
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#include "gtest/gtest.h"
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#include "utils/log_adapter.h"
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using namespace mindspore::dataset;
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using mindspore::LogStream;
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using mindspore::ExceptionType::NoExceptionType;
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using mindspore::MsLogLevel::INFO;
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class MindDataTestExecutionTree : public UT::DatasetOpTesting {
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public:
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};
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// Construct some tree nodes and play with them
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TEST_F(MindDataTestExecutionTree, TestExecutionTree1) {
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MS_LOG(INFO) << "Doing MindDataTestExecutionTree1.";
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// Start with an empty execution tree
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auto my_tree = std::make_shared<ExecutionTree>();
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ASSERT_NE(my_tree, nullptr);
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uint32_t shuffle_size = 32;
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uint32_t connector_size = 8;
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std::shared_ptr<ShuffleOp> leaf_op1 = std::make_shared<ShuffleOp>(shuffle_size, 0, connector_size, false);
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ASSERT_NE(leaf_op1, nullptr);
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my_tree->AssociateNode(leaf_op1);
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shuffle_size = 16;
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std::shared_ptr<ShuffleOp> leaf_op2 = std::make_shared<ShuffleOp>(shuffle_size, 0, connector_size, false);
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ASSERT_NE(leaf_op2, nullptr);
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my_tree->AssociateNode(leaf_op2);
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shuffle_size = 8;
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std::shared_ptr<ShuffleOp> parent_op = std::make_shared<ShuffleOp>(shuffle_size, 0, connector_size, false);
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ASSERT_NE(parent_op, nullptr);
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my_tree->AssociateNode(parent_op);
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// It's up to you if you want to use move semantic or not here.
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// By using move, we transfer ownership of the child to the parent.
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// If you do not use move,
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// we get a reference count bump to the pointer and you have
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// your own pointer to it, plus the parent has a copy of the pointer.
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parent_op->AddChild(std::move(leaf_op1));
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parent_op->AddChild(std::move(leaf_op2));
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shuffle_size = 4;
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std::shared_ptr<DatasetOp> root_op = std::make_shared<ShuffleOp>(shuffle_size, 0, connector_size, false);
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my_tree->AssignRoot(root_op);
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root_op->AddChild(parent_op);
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ASSERT_NE(root_op, nullptr);
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// At this point, since move semantic was used,
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// I don't have any operator access myself now.
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// Ownership is fully transferred into the tree.
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// explicitly drive tree destruction rather than
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// wait for descoping (to examine in debugger
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// just to see it work)
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my_tree.reset();
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MS_LOG(INFO) << "Done.";
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}
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// Construct some tree nodes and play with them
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TEST_F(MindDataTestExecutionTree, TestExecutionTree2) {
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MS_LOG(INFO) << "Doing MindDataTestExecutionTree2.";
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Status rc;
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auto my_tree = std::make_shared<ExecutionTree>();
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std::string dataset_path = datasets_root_path_ + "/testDataset1/testDataset1.data";
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std::shared_ptr<ConfigManager> config_manager = GlobalContext::config_manager();
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auto op_connector_size = config_manager->op_connector_size();
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std::unique_ptr<DataSchema> schema = std::make_unique<DataSchema>();
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std::vector<std::string> columns_to_load = {};
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std::vector<std::string> files = {dataset_path};
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std::shared_ptr<TFReaderOp> my_tfreader_op = std::make_shared<TFReaderOp>(
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1, 2, 0, files, std::move(schema), op_connector_size, columns_to_load, false, 1, 0, false);
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rc = my_tfreader_op->Init();
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ASSERT_OK(rc);
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rc = my_tree->AssociateNode(my_tfreader_op);
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ASSERT_OK(rc);
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rc = my_tree->AssignRoot(my_tfreader_op);
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ASSERT_OK(rc);
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// prepare the tree
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rc = my_tree->Prepare();
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ASSERT_OK(rc);
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// Launch the tree execution to kick off threads
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// and start running the pipeline
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MS_LOG(INFO) << "Launching my tree.";
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rc = my_tree->Launch();
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ASSERT_OK(rc);
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}
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