Darknet/YOLO  v3.0-44-gb8253a4
Object Detection Framework
local_layer.hpp File Reference
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Typedefs

typedef layer local_layer
 

Functions

void forward_local_layer_gpu (local_layer layer, network_state state)
 
void backward_local_layer_gpu (local_layer layer, network_state state)
 
void update_local_layer_gpu (local_layer layer, int batch, float learning_rate, float momentum, float decay, float loss_scale)
 
void push_local_layer (local_layer layer)
 
void pull_local_layer (local_layer layer)
 
local_layer make_local_layer (int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation)
 
void forward_local_layer (const local_layer layer, network_state state)
 
void backward_local_layer (local_layer layer, network_state state)
 
void update_local_layer (local_layer layer, int batch, float learning_rate, float momentum, float decay)
 
void bias_output (float *output, float *biases, int batch, int n, int size)
 
void backward_bias (float *bias_updates, float *delta, int batch, int n, int size)
 

Typedef Documentation

◆ local_layer

typedef layer local_layer

Function Documentation

◆ forward_local_layer_gpu()

void forward_local_layer_gpu ( local_layer  layer,
network_state  state 
)
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◆ backward_local_layer_gpu()

void backward_local_layer_gpu ( local_layer  layer,
network_state  state 
)
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◆ update_local_layer_gpu()

void update_local_layer_gpu ( local_layer  layer,
int  batch,
float  learning_rate,
float  momentum,
float  decay,
float  loss_scale 
)
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◆ push_local_layer()

void push_local_layer ( local_layer  layer)
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◆ pull_local_layer()

void pull_local_layer ( local_layer  layer)
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◆ make_local_layer()

local_layer make_local_layer ( int  batch,
int  h,
int  w,
int  c,
int  n,
int  size,
int  stride,
int  pad,
ACTIVATION  activation 
)
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◆ forward_local_layer()

void forward_local_layer ( const local_layer  layer,
network_state  state 
)
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◆ backward_local_layer()

void backward_local_layer ( local_layer  layer,
network_state  state 
)
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◆ update_local_layer()

void update_local_layer ( local_layer  layer,
int  batch,
float  learning_rate,
float  momentum,
float  decay 
)
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◆ bias_output()

void bias_output ( float *  output,
float *  biases,
int  batch,
int  n,
int  size 
)

◆ backward_bias()

void backward_bias ( float *  bias_updates,
float *  delta,
int  batch,
int  n,
int  size 
)
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