From ae43c2bc32fbb838bfebeeaf2c2b058ccab5c83c Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@burninator.cs.washington.edu>
Date: Thu, 23 Jun 2016 05:31:14 +0000
Subject: [PATCH] hi

---
 src/network.h |   44 ++++++++++++++++++++++++++++++++++++++------
 1 files changed, 38 insertions(+), 6 deletions(-)

diff --git a/src/network.h b/src/network.h
index 1d960c0..af64e06 100644
--- a/src/network.h
+++ b/src/network.h
@@ -3,24 +3,43 @@
 #define NETWORK_H
 
 #include "image.h"
-#include "detection_layer.h"
 #include "layer.h"
 #include "data.h"
 
-typedef struct {
+typedef enum {
+    CONSTANT, STEP, EXP, POLY, STEPS, SIG, RANDOM
+} learning_rate_policy;
+
+typedef struct network{
+    float *workspace;
     int n;
     int batch;
-    int seen;
+    int *seen;
+    float epoch;
     int subdivisions;
-    float learning_rate;
     float momentum;
     float decay;
     layer *layers;
     int outputs;
     float *output;
+    learning_rate_policy policy;
+
+    float learning_rate;
+    float gamma;
+    float scale;
+    float power;
+    int time_steps;
+    int step;
+    int max_batches;
+    float *scales;
+    int   *steps;
+    int num_steps;
+    int burn_in;
 
     int inputs;
     int h, w, c;
+    int max_crop;
+    int min_crop;
 
     #ifdef GPU
     float **input_gpu;
@@ -28,6 +47,16 @@
     #endif
 } network;
 
+typedef struct network_state {
+    float *truth;
+    float *input;
+    float *delta;
+    float *workspace;
+    int train;
+    int index;
+    network net;
+} network_state;
+
 #ifdef GPU
 float train_network_datum_gpu(network net, float *x, float *y);
 float *network_predict_gpu(network net, float *input);
@@ -36,8 +65,11 @@
 float *get_network_output_gpu(network net);
 void forward_network_gpu(network net, network_state state);
 void backward_network_gpu(network net, network_state state);
+void update_network_gpu(network net);
 #endif
 
+float get_current_rate(network net);
+int get_current_batch(network net);
 void free_network(network net);
 void compare_networks(network n1, network n2, data d);
 char *get_layer_string(LAYER_TYPE a);
@@ -50,11 +82,12 @@
 float train_network(network net, data d);
 float train_network_batch(network net, data d, int n);
 float train_network_sgd(network net, data d, int n);
+float train_network_datum(network net, float *x, float *y);
 
 matrix network_predict_data(network net, data test);
 float *network_predict(network net, float *input);
 float network_accuracy(network net, data d);
-float *network_accuracies(network net, data d);
+float *network_accuracies(network net, data d, int n);
 float network_accuracy_multi(network net, data d, int n);
 void top_predictions(network net, int n, int *index);
 float *get_network_output(network net);
@@ -72,7 +105,6 @@
 void set_batch_network(network *net, int b);
 int get_network_input_size(network net);
 float get_network_cost(network net);
-detection_layer get_network_detection_layer(network net);
 
 int get_network_nuisance(network net);
 int get_network_background(network net);

--
Gitblit v1.10.0