forked from mindspore-Ecosystem/mindspore
55 lines
2.1 KiB
C++
55 lines
2.1 KiB
C++
/**
|
|
* Copyright 2019-2022 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/random_rotation_op.h"
|
|
#include "minddata/dataset/core/cv_tensor.h"
|
|
#include "minddata/dataset/kernels/data/to_float16_op.h"
|
|
#include "utils/log_adapter.h"
|
|
|
|
using namespace mindspore::dataset;
|
|
|
|
class MindDataTestToFloat16Op : public UT::CVOP::CVOpCommon {
|
|
public:
|
|
MindDataTestToFloat16Op() : CVOpCommon() {}
|
|
};
|
|
|
|
/// Feature: ToFloat16 op
|
|
/// Description: Test ToFloat16Op after RandomRotationOp
|
|
/// Expectation: Output's shape is equal to the expected output's shape
|
|
TEST_F(MindDataTestToFloat16Op, TestOp) {
|
|
MS_LOG(INFO) << "Doing TestRandomRotationOp::TestOp.";
|
|
std::shared_ptr<Tensor> output_tensor;
|
|
float s_degree = -180;
|
|
float e_degree = 180;
|
|
// use compute center to use for rotation
|
|
std::vector<float> center = {};
|
|
bool expand = false;
|
|
auto op = std::make_unique<RandomRotationOp>(
|
|
s_degree, e_degree, InterpolationMode::kLinear, expand, center);
|
|
EXPECT_TRUE(op->OneToOne());
|
|
Status s = op->Compute(input_tensor_, &output_tensor);
|
|
EXPECT_TRUE(s.IsOk());
|
|
EXPECT_EQ(input_tensor_->shape()[0], output_tensor->shape()[0]);
|
|
EXPECT_EQ(input_tensor_->shape()[1], output_tensor->shape()[1]);
|
|
|
|
auto to_float_op = std::make_unique<ToFloat16Op>();
|
|
std::shared_ptr<Tensor> output_tensor1;
|
|
s = op->Compute(output_tensor, &output_tensor1);
|
|
EXPECT_EQ(output_tensor->shape()[0], output_tensor1->shape()[0]);
|
|
EXPECT_EQ(output_tensor->shape()[1], output_tensor1->shape()[1]);
|
|
}
|