Range.h

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/*
 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
 * Copyright 2018 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 __NNFW_CKER_RANGE_H__
#define __NNFW_CKER_RANGE_H__
 
#include "cker/Shape.h"
 
#include <cmath>
#include <stdexcept>
 
namespace nnfw
{
namespace cker
{
template <typename T> inline int GetSize(T start, T limit, T delta)
{
  if (!((start > limit && delta < 0) || (start < limit && delta > 0)))
  {
    throw std::runtime_error("Range: invalid input values");
  }
 
  int size = (std::is_integral<T>::value
                ? ((std::abs(limit - start) + std::abs(delta) - 1) / std::abs(delta))
                : std::ceil(std::abs((limit - start) / delta)));
  return size;
}
 
template <typename T>
inline void Range(const T *start_data, const T *limit_data, const T *delta_data, T *output_data)
{
  const T start_value = *start_data;
  const T delta_value = *delta_data;
  const T limit_value = *limit_data;
 
  const int num_elements = GetSize<T>(start_value, limit_value, delta_value);
  T value = start_value;
 
  for (int i = 0; i < num_elements; ++i)
  {
    output_data[i] = value;
    value += delta_value;
  }
}
 
} // namespace cker
} // namespace nnfw
 
#endif // __NNFW_CKER_RANGE_H__