/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.

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 TENSORFLOW_LITE_DELEGATES_COREML_BUILDERS_PAD_OP_BUILDER_H_
#define TENSORFLOW_LITE_DELEGATES_COREML_BUILDERS_PAD_OP_BUILDER_H_

#include <string>

#include "mlmodel/format/NeuralNetwork.pb.h"
#include "tensorflow/lite/builtin_ops.h"
#include "tensorflow/lite/c/c_api_types.h"
#include "tensorflow/lite/c/common.h"
#include "tensorflow/lite/delegates/coreml/builders/op_builder.h"

namespace tflite {
namespace delegates {
namespace coreml {

enum class PadType { kPad, kMirrorPad };

// Supports PAD, PADV2, MIRROR_PAD
class PadOpBuilder : public OpBuilder {
 public:
  explicit PadOpBuilder(GraphBuilder* graph_builder, PadType padding_type)
      : OpBuilder(graph_builder), padding_type_(padding_type) {}

  const std::string& DebugName() override;

  CoreML::Specification::NeuralNetworkLayer* Build() override;

  TfLiteStatus RegisterInputs(const TfLiteIntArray* inputs,
                              TfLiteContext* context) override;

  TfLiteStatus RegisterOutputs(const TfLiteIntArray* outputs,
                               TfLiteContext* context) override;

  void SetPadding(const TfLiteTensor* padding);

  void SetConstantValue(const TfLiteTensor* constant_value);

 private:
  PadType padding_type_;
};

}  // namespace coreml
}  // namespace delegates
}  // namespace tflite

#endif  // TENSORFLOW_LITE_DELEGATES_COREML_BUILDERS_PAD_OP_BUILDER_H_
