1 /** 2 * Copyright 2020 Huawei Technologies Co., Ltd 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 #include "common/common.h" 17 #include "common/cvop_common.h" 18 #include "minddata/dataset/kernels/image/cut_out_op.h" 19 #include "utils/log_adapter.h" 20 21 using namespace mindspore::dataset; 22 using mindspore::MsLogLevel::INFO; 23 using mindspore::ExceptionType::NoExceptionType; 24 using mindspore::LogStream; 25 26 class MindDataTestCutOutOp : public UT::CVOP::CVOpCommon { 27 protected: 28 MindDataTestCutOutOp() : CVOpCommon() {} 29 30 std::shared_ptr<Tensor> output_tensor_; 31 }; 32 33 TEST_F(MindDataTestCutOutOp, TestOp) { 34 MS_LOG(INFO) << "Doing testCutOut."; 35 std::unique_ptr<CutOutOp> op(new CutOutOp(50, 50, 5, false, 0, 0, 0)); 36 37 EXPECT_TRUE(op->OneToOne()); 38 Status s = op->Compute(input_tensor_, &output_tensor_); 39 EXPECT_EQ(input_tensor_->shape()[0], output_tensor_->shape()[0]); 40 EXPECT_EQ(input_tensor_->shape()[1], output_tensor_->shape()[1]); 41 EXPECT_EQ(input_tensor_->shape()[2], output_tensor_->shape()[2]); 42 EXPECT_EQ(s, Status::OK()); 43 } 44 45