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:
MindDataTestCutOutOp()28 MindDataTestCutOutOp() : CVOpCommon() {}
29
30 std::shared_ptr<Tensor> output_tensor_;
31 };
32
TEST_F(MindDataTestCutOutOp,TestOp)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