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/normalize_pad_op.h" 19 #include "minddata/dataset/core/cv_tensor.h" 20 #include "utils/log_adapter.h" 21 #include <opencv2/opencv.hpp> 22 23 using namespace mindspore::dataset; 24 using mindspore::MsLogLevel::INFO; 25 using mindspore::ExceptionType::NoExceptionType; 26 using mindspore::LogStream; 27 28 class MindDataTestNormalizePadOP : public UT::CVOP::CVOpCommon { 29 public: 30 MindDataTestNormalizePadOP() : CVOpCommon() {} 31 }; 32 33 TEST_F(MindDataTestNormalizePadOP, TestFloat32) { 34 MS_LOG(INFO) << "Doing TestNormalizePadOp::TestFloat32."; 35 std::shared_ptr<Tensor> output_tensor; 36 37 // Numbers are from the resnet50 model implementation 38 float mean[3] = {121.0, 115.0, 100.0}; 39 float std[3] = {70.0, 68.0, 71.0}; 40 41 // NormalizePad Op 42 std::unique_ptr<NormalizePadOp> op(new NormalizePadOp(mean[0], mean[1], mean[2], std[0], std[1], std[2], "float32")); 43 EXPECT_TRUE(op->OneToOne()); 44 Status s = op->Compute(input_tensor_, &output_tensor); 45 EXPECT_TRUE(s.IsOk()); 46 } 47 48 TEST_F(MindDataTestNormalizePadOP, TestFloat16) { 49 MS_LOG(INFO) << "Doing TestNormalizePadOp::TestFloat16."; 50 std::shared_ptr<Tensor> output_tensor; 51 52 // Numbers are from the resnet50 model implementation 53 float mean[3] = {121.0, 115.0, 100.0}; 54 float std[3] = {70.0, 68.0, 71.0}; 55 56 // NormalizePad Op 57 std::unique_ptr<NormalizePadOp> op(new NormalizePadOp(mean[0], mean[1], mean[2], std[0], std[1], std[2], "float16")); 58 EXPECT_TRUE(op->OneToOne()); 59 Status s = op->Compute(input_tensor_, &output_tensor); 60 EXPECT_TRUE(s.IsOk()); 61 }