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45 lines
1.5 KiB
45 lines
1.5 KiB
/**
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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 "common/common.h"
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#include "common/cvop_common.h"
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#include "minddata/dataset/kernels/image/cut_out_op.h"
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#include "utils/log_adapter.h"
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using namespace mindspore::dataset;
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using mindspore::MsLogLevel::INFO;
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using mindspore::ExceptionType::NoExceptionType;
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using mindspore::LogStream;
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class MindDataTestCutOutOp : public UT::CVOP::CVOpCommon {
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protected:
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MindDataTestCutOutOp() : CVOpCommon() {}
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std::shared_ptr<Tensor> output_tensor_;
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};
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TEST_F(MindDataTestCutOutOp, TestOp) {
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MS_LOG(INFO) << "Doing testCutOut.";
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std::unique_ptr<CutOutOp> op(new CutOutOp(50, 50, 5, false, 0, 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_EQ(input_tensor_->shape()[0], output_tensor_->shape()[0]);
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EXPECT_EQ(input_tensor_->shape()[1], output_tensor_->shape()[1]);
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EXPECT_EQ(input_tensor_->shape()[2], output_tensor_->shape()[2]);
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EXPECT_EQ(s, Status::OK());
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}
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