forked from mindspore-Ecosystem/mindspore
64 lines
2.3 KiB
C++
64 lines
2.3 KiB
C++
/**
|
|
* Copyright 2020 Huawei Technologies Co., Ltd
|
|
*
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*/
|
|
#include "common/common.h"
|
|
#include "common/cvop_common.h"
|
|
#include "minddata/dataset/kernels/image/normalize_pad_op.h"
|
|
#include "minddata/dataset/core/cv_tensor.h"
|
|
#include "utils/log_adapter.h"
|
|
#include <opencv2/opencv.hpp>
|
|
|
|
using namespace mindspore::dataset;
|
|
|
|
class MindDataTestNormalizePadOP : public UT::CVOP::CVOpCommon {
|
|
public:
|
|
MindDataTestNormalizePadOP() : CVOpCommon() {}
|
|
};
|
|
|
|
/// Feature: NormalizePad op
|
|
/// Description: Test input parameters with dtype float32 at Runtime level
|
|
/// Expectation: Op is successfully processed.
|
|
TEST_F(MindDataTestNormalizePadOP, TestFloat32) {
|
|
MS_LOG(INFO) << "Doing TestNormalizePadOp::TestFloat32.";
|
|
std::shared_ptr<Tensor> output_tensor;
|
|
|
|
// Numbers are from the resnet50 model implementation
|
|
std::vector<float> mean = {121.0, 115.0, 100.0};
|
|
std::vector<float> std = {70.0, 68.0, 71.0};
|
|
|
|
// NormalizePad Op
|
|
std::unique_ptr<NormalizePadOp> op = std::make_unique<NormalizePadOp>(mean, std, "float32", true);
|
|
EXPECT_TRUE(op->OneToOne());
|
|
Status s = op->Compute(input_tensor_, &output_tensor);
|
|
EXPECT_TRUE(s.IsOk());
|
|
}
|
|
|
|
/// Feature: NormalizePad op
|
|
/// Description: Test input parameters with dtype float16 at Runtime level
|
|
/// Expectation: Op is successfully processed.
|
|
TEST_F(MindDataTestNormalizePadOP, TestFloat16) {
|
|
MS_LOG(INFO) << "Doing TestNormalizePadOp::TestFloat16.";
|
|
std::shared_ptr<Tensor> output_tensor;
|
|
|
|
// Numbers are from the resnet50 model implementation
|
|
std::vector<float> mean = {121.0, 115.0, 100.0};
|
|
std::vector<float> std = {70.0, 68.0, 71.0};
|
|
|
|
// NormalizePad Op
|
|
std::unique_ptr<NormalizePadOp> op = std::make_unique<NormalizePadOp>(mean, std, "float16", true);
|
|
EXPECT_TRUE(op->OneToOne());
|
|
Status s = op->Compute(input_tensor_, &output_tensor);
|
|
EXPECT_TRUE(s.IsOk());
|
|
} |