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72 lines
2.6 KiB
72 lines
2.6 KiB
/**
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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 "common/common.h"
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#include "common/cvop_common.h"
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#include "minddata/dataset/kernels/image/center_crop_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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using mindspore::LogStream;
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using mindspore::ExceptionType::NoExceptionType;
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using mindspore::MsLogLevel::INFO;
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class MindDataTestCenterCropOp : public UT::CVOP::CVOpCommon {
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public:
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MindDataTestCenterCropOp() : CVOpCommon() {}
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};
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TEST_F(MindDataTestCenterCropOp, TestOp1) {
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MS_LOG(INFO) << "Doing MindDataTestCenterCropOp::TestOp1.";
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std::shared_ptr<Tensor> output_tensor;
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int het = 256;
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int wid = 128;
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std::unique_ptr<CenterCropOp> op(new CenterCropOp(het, wid));
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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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EXPECT_EQ(het, output_tensor->shape()[0]);
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EXPECT_EQ(wid, output_tensor->shape()[1]);
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std::shared_ptr<CVTensor> p = CVTensor::AsCVTensor(output_tensor);
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}
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TEST_F(MindDataTestCenterCropOp, TestOp2) {
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MS_LOG(INFO) << "MindDataTestCenterCropOp::TestOp2. Cap valid crop size at 10 times the input size";
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std::shared_ptr<Tensor> output_tensor;
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int64_t wid = input_tensor_->shape()[0] * 10 + 1;
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int64_t het = input_tensor_->shape()[1] * 10 + 1;
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std::unique_ptr<CenterCropOp> op(new CenterCropOp(het, wid));
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Status s = op->Compute(input_tensor_, &output_tensor);
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EXPECT_TRUE(s.IsError());
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ASSERT_TRUE(s.StatusCode() == StatusCode::kMDUnexpectedError);
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}
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TEST_F(MindDataTestCenterCropOp, TestOp3) {
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MS_LOG(INFO) << "Doing MindDataTestCenterCropOp::TestOp3. Test single integer input for square crop.";
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std::shared_ptr<Tensor> output_tensor;
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int side = 128;
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std::unique_ptr<CenterCropOp> op(new CenterCropOp(side));
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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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// Confirm both height and width are of size <side>.
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EXPECT_EQ(side, output_tensor->shape()[0]);
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EXPECT_EQ(side, output_tensor->shape()[1]);
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std::shared_ptr<CVTensor> p = CVTensor::AsCVTensor(output_tensor);
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}
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