You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
49 lines
1.7 KiB
49 lines
1.7 KiB
5 years ago
|
/**
|
||
|
|
* 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<Tensor> 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::unique_ptr<RandomSolarizeOp> op(new RandomSolarizeOp(100, 100));
|
||
|
|
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);
|
||
|
|
}
|