From 98813ad520e39541fbe3607ebb2f2519936955c7 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Wed, 29 Jul 2015 11:37:07 -0700
Subject: [PATCH] small bug in forward_network_gpu

---
 src/captcha.c          | 6 +++---
 src/imagenet.c         | 2 +-
 src/network_kernels.cu | 2 +-
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/captcha.c b/src/captcha.c
index f47b35e1..772f9d7c 100644
--- a/src/captcha.c
+++ b/src/captcha.c
@@ -41,9 +41,9 @@ void train_captcha2(char *cfgfile, char *weightfile)
     //net.seen=0;
     int imgs = 1024;
     int i = net.seen/imgs;
-    int solved = 0;
+    int solved = 1;
     list *plist;
-    char **labels = get_labels("/data/captcha/reimgs.labels2.list");
+    char **labels = get_labels("/data/captcha/reimgs.labels.list");
     if (solved){
         plist = get_paths("/data/captcha/reimgs.solved.list");
     }else{
@@ -95,7 +95,7 @@ void test_captcha2(char *cfgfile, char *weightfile, char *filename)
     set_batch_network(&net, 1);
     srand(2222222);
     int i = 0;
-    char **names = get_labels("/data/captcha/reimgs.labels2.list");
+    char **names = get_labels("/data/captcha/reimgs.labels.list");
     char input[256];
     int indexes[26];
     while(1){
diff --git a/src/imagenet.c b/src/imagenet.c
index 96e74d0a..8682e6a2 100644
--- a/src/imagenet.c
+++ b/src/imagenet.c
@@ -47,7 +47,7 @@ void train_imagenet(char *cfgfile, char *weightfile)
         avg_loss = avg_loss*.9 + loss*.1;
         printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), net.seen);
         free_data(train);
-        if((i % 30000) == 0) net.learning_rate *= .1;
+        if((i % 35000) == 0) net.learning_rate *= .1;
         if(i%1000==0){
             char buff[256];
             sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i);
diff --git a/src/network_kernels.cu b/src/network_kernels.cu
index 6562590c..3340afae 100644
--- a/src/network_kernels.cu
+++ b/src/network_kernels.cu
@@ -33,7 +33,7 @@ void forward_network_gpu(network net, network_state state)
     int i;
     for(i = 0; i < net.n; ++i){
         layer l = net.layers[i];
-        if(l.delta){
+        if(l.delta_gpu){
             scal_ongpu(l.outputs * l.batch, 0, l.delta_gpu, 1);
         }
         if(l.type == CONVOLUTIONAL){