text: /*
   * Copyright (c) 2020 Samsung Electronics Co., Ltd. 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.
   */
  
  #include "MatrixBandPartLayer.h"
  
  #include "OperationUtils.h"
  
  #include <cker/operation/MatrixBandPart.h>
  
  namespace onert
  {
  namespace backend
  {
  namespace cpu
  {
  namespace ops
  {
  
  MatrixBandPartLayer::MatrixBandPartLayer()
      : _input(nullptr), _num_lower_diag(nullptr), _num_upper_diag(nullptr), _output(nullptr)
  {
    // DO NOTHING
  }
  
  void MatrixBandPartLayer::matrixBandPartFloat32()
  {
    if (_num_lower_diag->data_type() == OperandType::INT64)
    {
      nnfw::cker::MatrixBandPart<int64_t>(
          *reinterpret_cast<const int64_t *>(_num_lower_diag->buffer()),
          *reinterpret_cast<const int64_t *>(_num_upper_diag->buffer()), getTensorShape(_input),
          reinterpret_cast<const float *>(_input->buffer()), getTensorShape(_output),
          reinterpret_cast<float *>(_output->buffer()));
    }
    else
    {
      nnfw::cker::MatrixBandPart<int32_t>(
          *reinterpret_cast<const int32_t *>(_num_lower_diag->buffer()),
          *reinterpret_cast<const int32_t *>(_num_upper_diag->buffer()), getTensorShape(_input),
          reinterpret_cast<const float *>(_input->buffer()), getTensorShape(_output),
          reinterpret_cast<float *>(_output->buffer()));
    }
  }
  
  void MatrixBandPartLayer::matrixBandPartQuant8() { throw std::runtime_error{"NYI"}; }
  
  void MatrixBandPartLayer::configure(const Tensor *input, const Tensor *num_lower_diag,
                                      const Tensor *num_upper_diag, Tensor *output)
  {
    _input = input;
    _num_lower_diag = num_lower_diag;
    _num_upper_diag = num_upper_diag;
    _output = output;
  }
  
  void MatrixBandPartLayer::run()
  {
    if (_num_lower_diag->data_type() != _num_upper_diag->data_type())
    {
      throw std::runtime_error{"MatrixBandpart: num_lower and num_upper must have the same type"};
    }
  
    if (_input->data_type() == OperandType::FLOAT32)
    {
      matrixBandPartFloat32();
    }
    else if (_input->data_type() == OperandType::QUANT_UINT8_ASYMM)
    {
      matrixBandPartQuant8();
    }
    else
    {
      throw std::runtime_error{"MatrixBandpart: unsupported data type"};
    }
  }
  
  } // namespace ops
  } // namespace cpu
  } // namespace backend
  } // namespace onert
  