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98 lines
3.2 KiB
98 lines
3.2 KiB
/**
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* Copyright 2021 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 "common/common.h"
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#include "minddata/dataset/include/datasets.h"
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#include "minddata/dataset/include/transforms.h"
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#include "minddata/dataset/include/vision.h"
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using namespace mindspore::dataset;
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using mindspore::dataset::InterpolationMode;
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using mindspore::dataset::Tensor;
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class MindDataTestPipeline : public UT::DatasetOpTesting {
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protected:
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};
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TEST_F(MindDataTestPipeline, TestAffineAPI) {
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MS_LOG(INFO) << "Doing MindDataTestAffine-TestAffineAPI.";
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// Create an ImageFolder Dataset
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std::string folder_path = datasets_root_path_ + "/testPK/data/";
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std::shared_ptr<Dataset> ds = ImageFolder(folder_path, true, RandomSampler(false, 5));
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// Create a Repeat operation on ds
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int32_t repeat_num = 3;
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ds = ds->Repeat(repeat_num);
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// Create auto contrast object with default values
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std::shared_ptr<TensorTransform> crop(new vision::RandomCrop({256, 256}));
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std::shared_ptr<TensorTransform> affine(
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new vision::Affine(0.0, {0.0, 0.0}, 0.0, {0.0, 0.0}, InterpolationMode::kLinear));
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// Create a Map operation on ds
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ds = ds->Map({crop, affine});
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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, mindspore::MSTensor> 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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// EXPECT_EQ(row["image"].Shape()[0], 256);
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}
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EXPECT_EQ(i, 15);
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// Manually terminate the pipeline
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iter->Stop();
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}
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TEST_F(MindDataTestPipeline, TestAffineAPIFail) {
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MS_LOG(INFO) << "Doing MindDataTestAffine-TestAffineAPI.";
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// Create an ImageFolder Dataset
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std::string folder_path = datasets_root_path_ + "/testPK/data/";
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std::shared_ptr<Dataset> ds = ImageFolder(folder_path, true, RandomSampler(false, 5));
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// Create a Repeat operation on ds
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int32_t repeat_num = 3;
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ds = ds->Repeat(repeat_num);
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// Create auto contrast object with default values
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std::shared_ptr<TensorTransform> crop(new vision::RandomCrop({256, 256}));
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std::shared_ptr<TensorTransform> affine(
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new vision::Affine(0.0, {2.0, -1.0}, 0.0, {0.0, 0.0}, InterpolationMode::kLinear));
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// Create a Map operation on ds
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ds = ds->Map({crop, affine});
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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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EXPECT_EQ(iter, nullptr);
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}
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