1 /** 2 * Copyright 2020-2023 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 #ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RESIZE_OP_H_ 17 #define MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RESIZE_OP_H_ 18 19 #include <memory> 20 #include <string> 21 #include <vector> 22 23 #include "minddata/dataset/core/tensor.h" 24 #include "minddata/dataset/kernels/tensor_op.h" 25 26 namespace mindspore { 27 namespace dataset { 28 class ResizeOp : public TensorOp { 29 public: 30 // Default values, also used by python_bindings.cc 31 static const int32_t kDefWidth; 32 static const InterpolationMode kDefInterpolation; 33 34 // Resizes the image to the output specified size. If only one value is provided, 35 // the it will resize the smaller size and maintains the aspect ratio. 36 // @param size1: the first size of output. If only this parameter is provided 37 // the smaller dimension will be resized to this and then the other dimension changes 38 // such that the aspect ratio is maintained. 39 // @param size2: the second size of output. If this is also provided, the output size 40 // will be (size1, size2) 41 // @param InterpolationMode: the interpolation mode being used. 42 explicit ResizeOp(int32_t size1, int32_t size2 = kDefWidth, InterpolationMode interpolation = kDefInterpolation) size1_(size1)43 : size1_(size1), size2_(size2), interpolation_(interpolation) {} 44 45 ResizeOp(const ResizeOp &rhs) = default; 46 47 ResizeOp(ResizeOp &&rhs) = default; 48 49 ~ResizeOp() override = default; 50 Print(std::ostream & out)51 void Print(std::ostream &out) const override { out << Name() << ": " << size1_ << " " << size2_; } 52 53 Status Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) override; 54 55 Status OutputShape(const std::vector<TensorShape> &inputs, std::vector<TensorShape> &outputs) override; 56 57 static TensorShape ComputeOutputShape(const TensorShape &input, int32_t output_h, int32_t output_w); 58 Name()59 std::string Name() const override { return kResizeOp; } 60 61 protected: 62 int32_t size1_; 63 int32_t size2_; 64 InterpolationMode interpolation_; 65 }; 66 } // namespace dataset 67 } // namespace mindspore 68 #endif // MINDSPORE_CCSRC_MINDDATA_DATASET_KERNELS_IMAGE_RESIZE_OP_H_ 69