mindspore/tests/ut/cpp/dataset/pad_op_test.cc

45 lines
1.5 KiB
C++

/**
* Copyright 2020 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/pad_op.h"
#include "utils/log_adapter.h"
using namespace mindspore::dataset;
using mindspore::MsLogLevel::INFO;
using mindspore::ExceptionType::NoExceptionType;
using mindspore::LogStream;
class MindDataTestPadOp : public UT::CVOP::CVOpCommon {
protected:
MindDataTestPadOp() : CVOpCommon() {}
std::shared_ptr<Tensor> output_tensor_;
};
TEST_F(MindDataTestPadOp, TestOp) {
MS_LOG(INFO) << "Doing testPad.";
std::unique_ptr<PadOp> op(new PadOp(10, 20, 30, 40, BorderType::kConstant));
EXPECT_TRUE(op->OneToOne());
Status s = op->Compute(input_tensor_, &output_tensor_);
size_t actual = 0;
if (s == Status::OK()) {
actual = output_tensor_->shape()[0] * output_tensor_->shape()[1] * output_tensor_->shape()[2];
}
EXPECT_EQ(actual, (input_tensor_->shape()[0] + 30) * (input_tensor_->shape()[1] + 70) * 3);
EXPECT_EQ(s, Status::OK());
}