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/swap_red_blue_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 MindDataTestSwapRedBlueOp : public UT::CVOP::CVOpCommon {
27 protected:
MindDataTestSwapRedBlueOp()28 MindDataTestSwapRedBlueOp() : CVOpCommon() {}
29
30 std::shared_ptr<Tensor> output_tensor_;
31 };
32
TEST_F(MindDataTestSwapRedBlueOp,TestOp1)33 TEST_F(MindDataTestSwapRedBlueOp, TestOp1) {
34 MS_LOG(INFO) << "Doing testSwapRedBlue.";
35 // SwapRedBlue params
36 std::unique_ptr<SwapRedBlueOp> op(new SwapRedBlueOp());
37 EXPECT_TRUE(op->OneToOne());
38 Status s = op->Compute(input_tensor_, &output_tensor_);
39 size_t actual = 0;
40 if (s == Status::OK()) {
41 actual = output_tensor_->shape()[0] * output_tensor_->shape()[1] * output_tensor_->shape()[2];
42 }
43 EXPECT_EQ(actual, input_tensor_->shape()[0] * input_tensor_->shape()[1] * 3);
44 EXPECT_EQ(s, Status::OK());
45 }
46
47