Conv.h File Reference

#include "cker/Shape.h"
#include "cker/Types.h"
#include <cmath>

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Namespaces
namespace	nnfw
namespace	nnfw::cker
namespace	nnfw::cker::reference

Functions
void	nnfw::cker::reference::Conv (const ConvParams &params, const Shape &input_shape, const float *input_data, const Shape &filter_shape, const float *filter_data, const Shape &bias_shape, const float *bias_data, const Shape &output_shape, float *output_data)
void	nnfw::cker::reference::Conv (const ConvParams &params, const Shape &input_shape, const uint8_t *input_data, const Shape &filter_shape, const uint8_t *filter_data, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, uint8_t *output_data)
template<typename T , bool is_asymmetric>
void	nnfw::cker::reference::Conv (const ConvParams &params, const int32_t *output_multiplier, const int32_t *output_shift, const Shape &input_shape, const T *input_data, const Shape &filter_shape, const T *filter_data, const int32_t *filter_zeropoint, const Shape &bias_shape, const int32_t *bias_data, const Shape &output_shape, T *output_data)
void	nnfw::cker::reference::HybridConvPerChannel (const ConvParams &params, float *scaling_factors_ptr, const Shape &input_shape, const int8_t *input_data, const Shape &filter_shape, const int8_t *filter_data, const Shape &bias_shape, const float *bias_data, const Shape &output_shape, float *output_data, const float *per_channel_scale, const int32_t *input_offset)