Darknet/YOLO  v3.0-44-gb8253a4
Object Detection Framework
gru_layer.cpp File Reference
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Functions

static void increment_layer (layer *l, int steps)
 
layer make_gru_layer (int batch, int inputs, int outputs, int steps, int batch_normalize)
 
void update_gru_layer (layer l, int batch, float learning_rate, float momentum, float decay)
 
void forward_gru_layer (layer l, network_state state)
 
void backward_gru_layer (layer l, network_state state)
 
void pull_gru_layer (layer l)
 
void push_gru_layer (layer l)
 
void update_gru_layer_gpu (layer l, int batch, float learning_rate, float momentum, float decay, float loss_scale)
 
void forward_gru_layer_gpu (layer l, network_state state)
 
void backward_gru_layer_gpu (layer l, network_state state)
 

Function Documentation

◆ increment_layer()

static void increment_layer ( layer l,
int  steps 
)
static
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◆ make_gru_layer()

layer make_gru_layer ( int  batch,
int  inputs,
int  outputs,
int  steps,
int  batch_normalize 
)
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◆ update_gru_layer()

void update_gru_layer ( layer  l,
int  batch,
float  learning_rate,
float  momentum,
float  decay 
)
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◆ forward_gru_layer()

void forward_gru_layer ( layer  l,
network_state  state 
)
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◆ backward_gru_layer()

void backward_gru_layer ( layer  l,
network_state  state 
)
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◆ pull_gru_layer()

void pull_gru_layer ( layer  l)

◆ push_gru_layer()

void push_gru_layer ( layer  l)

◆ update_gru_layer_gpu()

void update_gru_layer_gpu ( layer  l,
int  batch,
float  learning_rate,
float  momentum,
float  decay,
float  loss_scale 
)
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◆ forward_gru_layer_gpu()

void forward_gru_layer_gpu ( layer  l,
network_state  state 
)
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◆ backward_gru_layer_gpu()

void backward_gru_layer_gpu ( layer  l,
network_state  state 
)
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