forked from huawei/mindspore2022
71 lines
2.2 KiB
C++
71 lines
2.2 KiB
C++
/**
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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 "minddata/dataset/include/iterator.h"
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#include "minddata/dataset/core/client.h"
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#include "minddata/dataset/engine/consumers/tree_consumer.h"
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#include "minddata/dataset/engine/runtime_context.h"
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#include "minddata/dataset/include/datasets.h"
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namespace mindspore {
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namespace dataset {
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Iterator::Iterator() : consumer_(nullptr) {}
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Iterator::~Iterator() { Stop(); }
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// Get the next row from the data pipeline.
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bool Iterator::GetNextRow(TensorMap *row) {
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Status rc = consumer_->GetNextAsMap(row);
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if (rc.IsError()) {
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MS_LOG(ERROR) << "GetNextRow: Failed to get next row. Error status: " << rc;
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row->clear();
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return false;
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}
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return true;
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}
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// Get the next row from the data pipeline.
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bool Iterator::GetNextRow(TensorVec *row) {
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Status rc = consumer_->GetNextAsVector(row);
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if (rc.IsError()) {
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MS_LOG(ERROR) << "GetNextRow: Failed to get next row. Error status: " << rc;
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row->clear();
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return false;
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}
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return true;
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}
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// Shut down the data pipeline.
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void Iterator::Stop() {
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Status rc = runtime_context_->Terminate();
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if (rc.IsError()) {
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MS_LOG(ERROR) << rc.ToString();
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}
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}
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// Function to build and launch the execution tree.
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Status Iterator::BuildAndLaunchTree(std::shared_ptr<Dataset> ds, int32_t num_epochs) {
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runtime_context_ = std::make_unique<NativeRuntimeContext>();
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RETURN_IF_NOT_OK(runtime_context_->Init());
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auto consumer = std::make_unique<IteratorConsumer>(num_epochs);
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consumer_ = consumer.get();
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RETURN_IF_NOT_OK(consumer->Init(ds->IRNode()));
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runtime_context_->AssignConsumer(std::move(consumer));
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return Status::OK();
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}
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} // namespace dataset
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} // namespace mindspore
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