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

static void increment_layer (layer *l, int steps)
 
layer make_conv_lstm_layer (int batch, int h, int w, int c, int output_filters, int groups, int steps, int size, int stride, int dilation, int pad, ACTIVATION activation, int batch_normalize, int peephole, int xnor, int bottleneck, int train)
 
layer make_history_layer (int batch, int h, int w, int c, int history_size, int steps, int train)
 
void forward_history_layer (layer l, network_state state)
 
void backward_history_layer (layer l, network_state state)
 
void forward_history_layer_gpu (const layer l, network_state state)
 
void backward_history_layer_gpu (const layer l, network_state state)
 
void update_conv_lstm_layer (layer l, int batch, float learning_rate, float momentum, float decay)
 
void resize_conv_lstm_layer (layer *l, int w, int h)
 
void free_state_conv_lstm (layer l)
 
void randomize_state_conv_lstm (layer l)
 
void remember_state_conv_lstm (layer l)
 
void restore_state_conv_lstm (layer l)
 
void forward_conv_lstm_layer (layer l, network_state state)
 
void backward_conv_lstm_layer (layer l, network_state state)
 
void pull_conv_lstm_layer (layer l)
 
void push_conv_lstm_layer (layer l)
 
void update_conv_lstm_layer_gpu (layer l, int batch, float learning_rate, float momentum, float decay, float loss_scale)
 
void forward_conv_lstm_layer_gpu (layer l, network_state state)
 
void backward_conv_lstm_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_conv_lstm_layer()

layer make_conv_lstm_layer ( int  batch,
int  h,
int  w,
int  c,
int  output_filters,
int  groups,
int  steps,
int  size,
int  stride,
int  dilation,
int  pad,
ACTIVATION  activation,
int  batch_normalize,
int  peephole,
int  xnor,
int  bottleneck,
int  train 
)
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◆ make_history_layer()

layer make_history_layer ( int  batch,
int  h,
int  w,
int  c,
int  history_size,
int  steps,
int  train 
)
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◆ forward_history_layer()

void forward_history_layer ( layer  l,
network_state  state 
)
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◆ backward_history_layer()

void backward_history_layer ( layer  l,
network_state  state 
)
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◆ forward_history_layer_gpu()

void forward_history_layer_gpu ( const layer  l,
network_state  state 
)
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◆ backward_history_layer_gpu()

void backward_history_layer_gpu ( const layer  l,
network_state  state 
)
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◆ update_conv_lstm_layer()

void update_conv_lstm_layer ( layer  l,
int  batch,
float  learning_rate,
float  momentum,
float  decay 
)
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◆ resize_conv_lstm_layer()

void resize_conv_lstm_layer ( layer l,
int  w,
int  h 
)
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◆ free_state_conv_lstm()

void free_state_conv_lstm ( layer  l)
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◆ randomize_state_conv_lstm()

void randomize_state_conv_lstm ( layer  l)
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◆ remember_state_conv_lstm()

void remember_state_conv_lstm ( layer  l)
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◆ restore_state_conv_lstm()

void restore_state_conv_lstm ( layer  l)
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◆ forward_conv_lstm_layer()

void forward_conv_lstm_layer ( layer  l,
network_state  state 
)
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◆ backward_conv_lstm_layer()

void backward_conv_lstm_layer ( layer  l,
network_state  state 
)
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◆ pull_conv_lstm_layer()

void pull_conv_lstm_layer ( layer  l)
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◆ push_conv_lstm_layer()

void push_conv_lstm_layer ( layer  l)
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◆ update_conv_lstm_layer_gpu()

void update_conv_lstm_layer_gpu ( layer  l,
int  batch,
float  learning_rate,
float  momentum,
float  decay,
float  loss_scale 
)
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◆ forward_conv_lstm_layer_gpu()

void forward_conv_lstm_layer_gpu ( layer  l,
network_state  state 
)
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◆ backward_conv_lstm_layer_gpu()

void backward_conv_lstm_layer_gpu ( layer  l,
network_state  state 
)
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