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/pad_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 MindDataTestPadOp : public UT::CVOP::CVOpCommon {
27 protected:
MindDataTestPadOp()28 MindDataTestPadOp() : CVOpCommon() {}
29
30 std::shared_ptr<Tensor> output_tensor_;
31 };
32
TEST_F(MindDataTestPadOp,TestOp)33 TEST_F(MindDataTestPadOp, TestOp) {
34 MS_LOG(INFO) << "Doing testPad.";
35 std::unique_ptr<PadOp> op(new PadOp(10, 20, 30, 40, BorderType::kConstant));
36 EXPECT_TRUE(op->OneToOne());
37 Status s = op->Compute(input_tensor_, &output_tensor_);
38 size_t actual = 0;
39 if (s == Status::OK()) {
40 actual = output_tensor_->shape()[0] * output_tensor_->shape()[1] * output_tensor_->shape()[2];
41 }
42 EXPECT_EQ(actual, (input_tensor_->shape()[0] + 30) * (input_tensor_->shape()[1] + 70) * 3);
43 EXPECT_EQ(s, Status::OK());
44 }
45