1 /**
2 * Copyright 2019 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/resize_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 MindDataTestResizeOp : public UT::CVOP::CVOpCommon {
27 public:
MindDataTestResizeOp()28 MindDataTestResizeOp() : CVOpCommon() {}
29 };
30
TEST_F(MindDataTestResizeOp,TestOp)31 TEST_F(MindDataTestResizeOp, TestOp) {
32 MS_LOG(INFO) << "Doing testResize";
33 // Resizing with a factor of 0.5
34 TensorShape s = input_tensor_->shape();
35 int output_w = 0.5 * s[0];
36 int output_h = (s[0] * output_w) / s[1];
37 std::shared_ptr<Tensor> output_tensor;
38 // Resizing
39 std::unique_ptr<ResizeOp> op(new ResizeOp(output_h, output_w));
40 Status st = op->Compute(input_tensor_, &output_tensor);
41 EXPECT_TRUE(st.IsOk());
42 CheckImageShapeAndData(output_tensor, kResizeBilinear);
43 MS_LOG(INFO) << "testResize end.";
44 }
45