/** * Copyright 2019 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "common/common.h" #include "common/cvop_common.h" #include "minddata/dataset/kernels/image/random_solarize_op.h" #include "minddata/dataset/core/cv_tensor.h" #include "minddata/dataset/util/status.h" #include "utils/log_adapter.h" using namespace mindspore::dataset; using mindspore::LogStream; using mindspore::ExceptionType::NoExceptionType; using mindspore::MsLogLevel::INFO; class MindDataTestRandomSolarizeOp : public UT::CVOP::CVOpCommon { protected: MindDataTestRandomSolarizeOp() : CVOpCommon() {} std::shared_ptr output_tensor_; }; TEST_F(MindDataTestRandomSolarizeOp, TestOp1) { MS_LOG(INFO) << "Doing testRandomSolarizeOp1."; // setting seed here uint32_t curr_seed = GlobalContext::config_manager()->seed(); GlobalContext::config_manager()->set_seed(0); std::vector threshold = {100, 100}; std::unique_ptr op(new RandomSolarizeOp(threshold)); EXPECT_TRUE(op->OneToOne()); Status s = op->Compute(input_tensor_, &output_tensor_); EXPECT_TRUE(s.IsOk()); CheckImageShapeAndData(output_tensor_, kRandomSolarize); // restoring the seed GlobalContext::config_manager()->set_seed(curr_seed); }