forked from huawei/mindspore2022
53 lines
1.7 KiB
C++
53 lines
1.7 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 <string>
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#include <memory>
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#include "minddata/dataset/include/datasets.h"
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using Dataset = mindspore::dataset::Dataset;
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using Iterator = mindspore::dataset::Iterator;
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using mindspore::dataset::Cifar10;
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using mindspore::dataset::RandomSampler;
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using mindspore::dataset::Tensor;
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int main() {
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MS_LOG(INFO) << "Doing MindDataTestPipeline-TestCifar10Dataset.";
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// Create a Cifar10 Dataset
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std::string folder_path = "./testCifar10Data/";
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std::shared_ptr<Dataset> ds = Cifar10(folder_path, std::string(), RandomSampler(false, 10));
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// Create an iterator over the result of the above dataset
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// This will trigger the creation of the Execution Tree and launch it.
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std::shared_ptr<Iterator> iter = ds->CreateIterator();
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// Iterate the dataset and get each row
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std::unordered_map<std::string, std::shared_ptr<Tensor>> row;
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iter->GetNextRow(&row);
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uint64_t i = 0;
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while (row.size() != 0) {
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i++;
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auto image = row["image"];
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MS_LOG(INFO) << "Tensor image shape: " << image->shape();
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iter->GetNextRow(&row);
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}
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// Manually terminate the pipeline
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iter->Stop();
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}
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