utils.h

/****************************************************************************
*
*    Copyright (c) 2021 Vivante Corporation
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#ifndef TENSORFLOW_LITE_DELEGATES_VX_DELEGAGE_UTILS_H_
#define TENSORFLOW_LITE_DELEGATES_VX_DELEGAGE_UTILS_H_

#include <cstdint>
#include <vector>
#include <limits>
#include <cmath>
#include <sstream>
#include <cstring>
#include <cstdio>
#include "delegate_main.h"

namespace vx {
namespace delegate {
namespace utils {


// transpose channel_dim while doing transpose operation.
int32_t TransposeChannelDim(const std::vector<uint32_t>& perm,
                            int32_t channel_dim);

// Convert the perm in TfLite to the perm in vx-delegate when transpose.
std::vector<uint32_t> GetOvxTransposePerm(const std::vector<uint32_t>& perm);

// Convert TfLite axis to OpenVX kind.
inline int32_t ConvertAxis(int32_t axisIn, uint32_t dimNum) {
  return dimNum - (axisIn < 0 ? dimNum + axisIn : axisIn) - 1;
}

template <typename T>
std::vector<T> TransposeVec(const std::vector<T>& input,
                            const std::vector<int>& perm) {
  if (input.size() != perm.size()) {
    return std::vector<T>();
  };

  std::vector<T> output(input.size());
  for (int i = 0; i < perm.size(); i++) {
    output[i] = input[perm[i]];
  }

  return output;
}

inline int32_t CalcWeightSizeForBilinear(int32_t scale) {
  return 2 * scale - scale % 2;
}

inline int32_t CalcPadSizeForBilinear(int32_t scale) { return scale / 2; }

void GenerateWeightsDataForBilinear(float* data,
                                    const std::vector<uint32_t>& weight_shape,
                                    uint32_t scale_w,
                                    uint32_t scale_h);

void GenerateWeightDataForNearest(float* data,
                                  const std::vector<uint32_t>& weight_shape);

#ifdef NODE_TRACE_DB_MODE
void MapTfliteNodeToTimVxNode(const std::vector<std::shared_ptr<tim::vx::Operation>>& before_op_vector,
                              const std::vector<std::shared_ptr<tim::vx::Operation>>& after_op_vector,
                              std::vector<vx::delegate::TfliteNodeIDPair>& tflite_node_id_map);

void GenerateVxNodeTraceDb(std::vector<vx::delegate::TfliteNodeIDPair>& tflite_node_id_map);
#endif

template <typename T>
inline void Quantize(const std::vector<float>& data, float scale,
                               int32_t zero_point, std::vector<T>& quant_data) {
  for (const auto& f : data) {
    quant_data.push_back(static_cast<T>(std::max<float>(
        std::numeric_limits<T>::min(),
        std::min<float>(std::numeric_limits<T>::max(),
                        std::round(zero_point + (f / scale))))));
  }
}

}  // namespace utils
}  // namespace delegate
}  // namespace vx

#endif /* TENSORFLOW_LITE_DELEGATES_VX_DELEGAGE_UTILS_H_ */