nnop Namespace Reference

Data Structures
class	PadInfo
class	StrideInfo

Functions
template<typename OutputDType , typename InputDType , typename KernelDType >
void	conv (const nncc::core::ADT::feature::Shape &out_shape, nncc::core::ADT::feature::Accessor< OutputDType > &out_data, const nncc::core::ADT::feature::Shape &in_shape, const nncc::core::ADT::feature::Reader< InputDType > &in_data, const nncc::core::ADT::kernel::Shape &ker_shape, const nncc::core::ADT::kernel::Reader< KernelDType > &ker_data, const PadInfo &pad_info, const StrideInfo &stride_info)

Function Documentation

conv()

template<typename OutputDType , typename InputDType , typename KernelDType >

void nnop::conv	(	const nncc::core::ADT::feature::Shape &	out_shape,
		nncc::core::ADT::feature::Accessor< OutputDType > &	out_data,
		const nncc::core::ADT::feature::Shape &	in_shape,
		const nncc::core::ADT::feature::Reader< InputDType > &	in_data,
		const nncc::core::ADT::kernel::Shape &	ker_shape,
		const nncc::core::ADT::kernel::Reader< KernelDType > &	ker_data,
		const PadInfo &	pad_info,
		const StrideInfo &	stride_info
	)

Definition at line 34 of file Conv2D.h.

{
  for (uint32_t out_ch = 0; out_ch < out_shape.depth(); ++out_ch)
  {
    for (uint32_t out_row = 0; out_row < out_shape.height(); ++out_row)
    {
      for (uint32_t out_col = 0; out_col < out_shape.width(); ++out_col)
      {
        OutputDType out_value = 0;
 
        for (uint32_t ker_ch = 0; ker_ch < ker_shape.depth(); ++ker_ch)
        {
          for (uint32_t ker_row = 0; ker_row < ker_shape.height(); ++ker_row)
          {
            for (uint32_t ker_col = 0; ker_col < ker_shape.width(); ++ker_col)
            {
              const int64_t vertical_stride = static_cast<int64_t>(stride_info.vertical());
              const int64_t horizontal_stride = static_cast<int64_t>(stride_info.horizontal());
              const int64_t top_padding = static_cast<int64_t>(pad_info.top());
              const int64_t left_padding = static_cast<int64_t>(pad_info.left());
 
              const uint32_t in_ch = ker_ch;
              const int64_t in_row = vertical_stride * out_row - top_padding + ker_row;
              const int64_t in_col = horizontal_stride * out_col - left_padding + ker_col;
 
              const bool is_padding = (in_row < 0) || (in_row >= in_shape.height()) ||
                                      (in_col < 0) || (in_col >= in_shape.width());
 
              const auto in_value = (is_padding) ? 0
                                                 : in_data.at(in_ch, static_cast<uint32_t>(in_row),
                                                              static_cast<uint32_t>(in_col));
 
              const auto ker_value = ker_data.at(out_ch, in_ch, ker_row, ker_col);
 
              out_value += in_value * ker_value;
            }
          }
        }
 
        out_data.at(out_ch, out_row, out_col) = out_value;
      }
    }
  }
}

References nncc::core::ADT::feature::Reader< T >::at(), nncc::core::ADT::feature::Accessor< T >::at(), nncc::core::ADT::kernel::Reader< T >::at(), nncc::core::ADT::feature::Shape::depth(), nncc::core::ADT::kernel::Shape::depth(), nncc::core::ADT::feature::Shape::height(), nncc::core::ADT::kernel::Shape::height(), nnop::StrideInfo::horizontal(), nnop::PadInfo::left(), nnop::PadInfo::top(), nnop::StrideInfo::vertical(), nncc::core::ADT::feature::Shape::width(), and nncc::core::ADT::kernel::Shape::width().