forked from mindspore-Ecosystem/mindspore
81 lines
2.7 KiB
C++
81 lines
2.7 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/crop_op.h"
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#include "utils/log_adapter.h"
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using namespace mindspore::dataset;
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class MindDataTestCropOp : public UT::CVOP::CVOpCommon {
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protected:
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MindDataTestCropOp() : CVOpCommon() {}
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std::shared_ptr<Tensor> output_tensor_;
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};
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/// Feature: Crop op
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/// Description: Test Crop op basic usage
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/// Expectation: Output is equal to the expected output
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TEST_F(MindDataTestCropOp, TestOp1) {
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MS_LOG(INFO) << "Doing testCrop.";
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// Crop params
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int crop_height = 18;
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int crop_width = 12;
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auto op = std::make_unique<CropOp>(0, 0, crop_height, crop_width);
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EXPECT_TRUE(op->OneToOne());
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Status s = op->Compute(input_tensor_, &output_tensor_);
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size_t actual = 0;
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if (s == Status::OK()) {
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actual = output_tensor_->shape()[0] * output_tensor_->shape()[1] * output_tensor_->shape()[2];
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}
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EXPECT_EQ(crop_height, output_tensor_->shape()[0]);
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EXPECT_EQ(actual, crop_height * crop_width * 3);
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EXPECT_EQ(s, Status::OK());
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}
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/// Feature: Crop op
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/// Description: Test Crop op with negative coordinates
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/// Expectation: Throw correct error and message
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TEST_F(MindDataTestCropOp, TestOp2) {
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MS_LOG(INFO) << "Doing testCrop negative coordinates.";
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// Crop params
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unsigned int crop_height = 10;
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unsigned int crop_width = 10;
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auto op = std::make_unique<CropOp>(-10, -10, crop_height, crop_width);
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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_EQ(false, s.IsOk());
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MS_LOG(INFO) << "testCrop coordinate exception end.";
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}
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/// Feature: Crop op
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/// Description: Test Crop op where size is too large
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/// Expectation: Throw correct error and message
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TEST_F(MindDataTestCropOp, TestOp3) {
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MS_LOG(INFO) << "Doing testCrop size too large.";
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// Crop params
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unsigned int crop_height = 1200000;
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unsigned int crop_width = 1200000;
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auto op = std::make_unique<CropOp>(0, 0, crop_height, crop_width);
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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_EQ(false, s.IsOk());
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MS_LOG(INFO) << "testCrop size exception end.";
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}
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