forked from mindspore-Ecosystem/mindspore
46 lines
1.9 KiB
C++
46 lines
1.9 KiB
C++
/**
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* Copyright 2020-2022 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 "common/cvop_common.h"
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#include "minddata/dataset/kernels/image/random_affine_op.h"
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#include "minddata/dataset/core/cv_tensor.h"
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#include "utils/log_adapter.h"
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using namespace mindspore::dataset;
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class MindDataTestRandomAffineOp : public UT::CVOP::CVOpCommon {
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public:
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MindDataTestRandomAffineOp() : CVOpCommon() {}
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};
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/// Feature: RandomAffine op
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/// Description: Test RandomAffineOp basic usage and check OneToOne
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/// Expectation: Output is equal to the expected output
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TEST_F(MindDataTestRandomAffineOp, TestOp1) {
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MS_LOG(INFO) << "Doing testRandomAffineOp.";
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std::shared_ptr<Tensor> output_tensor;
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auto op = std::make_unique<RandomAffineOp>(std::vector<float>{30.0, 30.0}, std::vector<float>{0.0, 0.0, 0.0, 0.0},
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std::vector<float>{2.0, 2.0},
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std::vector<float>{10.0, 10.0, 20.0, 20.0},
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InterpolationMode::kNearestNeighbour,
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std::vector<uint8_t>{255, 0, 0});
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EXPECT_TRUE(op->OneToOne());
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Status s = op->Compute(input_tensor_, &output_tensor);
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EXPECT_TRUE(s.IsOk());
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CheckImageShapeAndData(output_tensor, kRandomAffine);
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}
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