mindspore2022/mindspore/ccsrc/dataset/kernels/image/pad_op.h

/**
 * Copyright 2019 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.
 */
#ifndef DATASET_KERNELS_IMAGE_PAD_OP_H_
#define DATASET_KERNELS_IMAGE_PAD_OP_H_

#include <memory>
#include <vector>

#include "dataset/core/tensor.h"
#include "dataset/kernels/tensor_op.h"
#include "dataset/kernels/image/image_utils.h"
#include "dataset/util/status.h"

namespace mindspore {
namespace dataset {
class PadOp : public TensorOp {
 public:
  // Default values, also used by python_bindings.cc
  static const BorderType kDefBorderType;
  static const uint8_t kDefFillR;
  static const uint8_t kDefFillG;
  static const uint8_t kDefFillB;

  // Constructor for PadOp.
  // @param pad_top number of pixels to pad the top of image with.
  // @param pad_bottom number of pixels to pad the bottom of the image with.
  // @param pad_left number of pixels to pad the left of the image with.
  // @param pad_right number of pixels to pad the right of the image with.
  // @param border_types BorderType enum, the type of boarders that we are using.
  // @param fill_r R value for the color to pad with.
  // @param fill_g G value for the color to pad with.
  // @param fill_b B value for the color to pad with.
  PadOp(int32_t pad_top, int32_t pad_bottom, int32_t pad_left, int32_t pad_right, BorderType border_types,
        uint8_t fill_r = kDefFillR, uint8_t fill_g = kDefFillG, uint8_t fill_b = kDefFillB);

  ~PadOp() override = default;

  void Print(std::ostream &out) const override { out << "PadOp: "; }

  Status Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) override;
  Status OutputShape(const std::vector<TensorShape> &inputs, std::vector<TensorShape> &outputs) override;

 private:
  int32_t pad_top_;
  int32_t pad_bottom_;
  int32_t pad_left_;
  int32_t pad_right_;
  BorderType boarder_type_;
  uint8_t fill_r_;
  uint8_t fill_g_;
  uint8_t fill_b_;
};
}  // namespace dataset
}  // namespace mindspore

#endif  // DATASET_KERNELS_IMAGE_PAD_OP_H_