From 884045091b3a22d4dda3a9d743d076367c840ef7 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Tue, 16 Dec 2014 23:34:10 +0000
Subject: [PATCH] lots of cleaning

---
 src/network.c |   65 +++++++++++++-------------------
 1 files changed, 26 insertions(+), 39 deletions(-)

diff --git a/src/network.c b/src/network.c
index f451fd9..829bb6e 100644
--- a/src/network.c
+++ b/src/network.c
@@ -245,17 +245,15 @@
     }
 }
 
-
-
-
 float train_network_datum(network net, float *x, float *y)
 {
+    #ifdef GPU
+    if(gpu_index >= 0) return train_network_datum_gpu(net, x, y);
+    #endif
     forward_network(net, x, y, 1);
-    //int class = get_predicted_class_network(net);
     backward_network(net, x);
     float error = get_network_cost(net);
     update_network(net);
-    //return (y[class]?1:0);
     return error;
 }
 
@@ -277,6 +275,25 @@
     return (float)sum/(n*batch);
 }
 
+float train_network(network net, data d)
+{
+    int batch = net.batch;
+    int n = d.X.rows / batch;
+    float *X = calloc(batch*d.X.cols, sizeof(float));
+    float *y = calloc(batch*d.y.cols, sizeof(float));
+
+    int i;
+    float sum = 0;
+    for(i = 0; i < n; ++i){
+        get_next_batch(d, batch, i*batch, X, y);
+        float err = train_network_datum(net, X, y);
+        sum += err;
+    }
+    free(X);
+    free(y);
+    return (float)sum/(n*batch);
+}
+
 float train_network_batch(network net, data d, int n)
 {
     int i,j;
@@ -296,40 +313,6 @@
     return (float)sum/(n*batch);
 }
 
-float train_network_data_cpu(network net, data d, int n)
-{
-    int batch = net.batch;
-    float *X = calloc(batch*d.X.cols, sizeof(float));
-    float *y = calloc(batch*d.y.cols, sizeof(float));
-
-    int i;
-    float sum = 0;
-    for(i = 0; i < n; ++i){
-        get_next_batch(d, batch, i*batch, X, y);
-        float err = train_network_datum(net, X, y);
-        sum += err;
-    }
-    free(X);
-    free(y);
-    return (float)sum/(n*batch);
-}
-
-void train_network(network net, data d)
-{
-    int i;
-    int correct = 0;
-    for(i = 0; i < d.X.rows; ++i){
-        correct += train_network_datum(net, d.X.vals[i], d.y.vals[i]);
-        if(i%100 == 0){
-            visualize_network(net);
-            cvWaitKey(10);
-        }
-    }
-    visualize_network(net);
-    cvWaitKey(100);
-    fprintf(stderr, "Accuracy: %f\n", (float)correct/d.X.rows);
-}
-
 void set_learning_network(network *net, float rate, float momentum, float decay)
 {
     int i;
@@ -561,6 +544,10 @@
 
 float *network_predict(network net, float *input)
 {
+    #ifdef GPU
+        if(gpu_index >= 0) return network_predict_gpu(net, input);
+    #endif
+
     forward_network(net, input, 0, 0);
     float *out = get_network_output(net);
     return out;

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