kernel_fp32
parameters for single-precision fusedconv kernel
#include <conv2d.h>
Public Attributes
| Name | |
|---|---|
| float * | pInBuffer |
| uint16_t | dim_in_x |
| uint16_t | dim_in_y |
| uint16_t | ch_in |
| float * | pWeight |
| uint16_t | ch_out |
| uint16_t | dim_kernel_x |
| uint16_t | dim_kernel_y |
| uint16_t | padding_y_top |
| uint16_t | padding_y_bottom |
| uint16_t | padding_x_left |
| uint16_t | padding_x_right |
| uint16_t | stride_x |
| uint16_t | stride_y |
| int8_t * | bias |
| uint16_t | bias_shift |
| uint16_t | out_shift |
| uint16_t | out_mult |
| float * | pOutBuffer |
| uint16_t | dim_out_x |
| uint16_t | dim_out_y |
| float * | kappa |
| float * | lambda |
| uint8_t * | pIm2ColBuffer |
| int | flag_relu |
| int | flag_batch_norm |
| int | flag_y_accumulate_start |
| int | flag_y_accumulate_end |
| unsigned int * | memory_chan |
Public Attributes Documentation
variable pInBuffer
float * pInBuffer;
pointer to the input feature map
variable dim_in_x
uint16_t dim_in_x;
width of input feature map
variable dim_in_y
uint16_t dim_in_y;
height of input feature map
variable ch_in
uint16_t ch_in;
number of input channels
variable pWeight
float * pWeight;
pointer to weights
variable ch_out
uint16_t ch_out;
number of output channels
variable dim_kernel_x
uint16_t dim_kernel_x;
width of kernel
variable dim_kernel_y
uint16_t dim_kernel_y;
height of kernel
variable padding_y_top
uint16_t padding_y_top;
number of pixels padded on the top
variable padding_y_bottom
uint16_t padding_y_bottom;
number of pixels padded on the bottom
variable padding_x_left
uint16_t padding_x_left;
number of pixels padded on the left
variable padding_x_right
uint16_t padding_x_right;
number of pixels padded on the right
variable stride_x
uint16_t stride_x;
stride in x direction
variable stride_y
uint16_t stride_y;
stride in y direction
variable bias
int8_t * bias;
bias of convolution (currently not used)
variable bias_shift
uint16_t bias_shift;
bias shift of convolution (currently not used)
variable out_shift
uint16_t out_shift;
shift factor for requantization (not used for floating point)
variable out_mult
uint16_t out_mult;
mult factor for requantization (not used for floating point)
variable pOutBuffer
float * pOutBuffer;
pointer to output feature map
variable dim_out_x
uint16_t dim_out_x;
width of output feature map
variable dim_out_y
uint16_t dim_out_y;
height of output feature map
variable kappa
float * kappa;
multiplication factor for BatchNorm
variable lambda
float * lambda;
variable pIm2ColBuffer
uint8_t * pIm2ColBuffer;
pointer to im2col Buffer (not used) bias for BatchNorm
variable flag_relu
int flag_relu;
RELU activation flag
variable flag_batch_norm
int flag_batch_norm;
BatchNorm flag
variable flag_y_accumulate_start
int flag_y_accumulate_start;
indicates that output feature map is initizialized with zeros
variable flag_y_accumulate_end
int flag_y_accumulate_end;
indicates that BN, RELU can be performed
variable memory_chan
unsigned int * memory_chan;
Not used
Updated on 2023-06-19 at 09:43:56 +0000