From ae74d0ef31485f84e1856b4733135d2753dbb033 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Sat, 21 Oct 2017 20:56:07 +0000
Subject: [PATCH] Fixed fread() for net->seen

---
 src/batchnorm_layer.c |   30 +++++++++++++++++++++++-------
 1 files changed, 23 insertions(+), 7 deletions(-)

diff --git a/src/batchnorm_layer.c b/src/batchnorm_layer.c
index 510f1b2..b53548b 100644
--- a/src/batchnorm_layer.c
+++ b/src/batchnorm_layer.c
@@ -127,17 +127,33 @@
         l.out_h = l.out_w = 1;
     }
     if(state.train){
-        mean_cpu(l.output, l.batch, l.out_c, l.out_h*l.out_w, l.mean);   
-        variance_cpu(l.output, l.mean, l.batch, l.out_c, l.out_h*l.out_w, l.variance);   
+        mean_cpu(l.output, l.batch, l.out_c, l.out_h*l.out_w, l.mean);
+        variance_cpu(l.output, l.mean, l.batch, l.out_c, l.out_h*l.out_w, l.variance);
+
+        scal_cpu(l.out_c, .9, l.rolling_mean, 1);
+        axpy_cpu(l.out_c, .1, l.mean, 1, l.rolling_mean, 1);
+        scal_cpu(l.out_c, .9, l.rolling_variance, 1);
+        axpy_cpu(l.out_c, .1, l.variance, 1, l.rolling_variance, 1);
+
+        copy_cpu(l.outputs*l.batch, l.output, 1, l.x, 1);
         normalize_cpu(l.output, l.mean, l.variance, l.batch, l.out_c, l.out_h*l.out_w);   
+        copy_cpu(l.outputs*l.batch, l.output, 1, l.x_norm, 1);
     } else {
         normalize_cpu(l.output, l.rolling_mean, l.rolling_variance, l.batch, l.out_c, l.out_h*l.out_w);
     }
     scale_bias(l.output, l.scales, l.batch, l.out_c, l.out_h*l.out_w);
 }
 
-void backward_batchnorm_layer(const layer layer, network_state state)
+void backward_batchnorm_layer(const layer l, network_state state)
 {
+    backward_scale_cpu(l.x_norm, l.delta, l.batch, l.out_c, l.out_w*l.out_h, l.scale_updates);
+
+    scale_bias(l.delta, l.scales, l.batch, l.out_c, l.out_h*l.out_w);
+
+    mean_delta_cpu(l.delta, l.variance, l.batch, l.out_c, l.out_w*l.out_h, l.mean_delta);
+    variance_delta_cpu(l.x, l.delta, l.mean, l.variance, l.batch, l.out_c, l.out_w*l.out_h, l.variance_delta);
+    normalize_delta_cpu(l.x, l.mean, l.variance, l.mean_delta, l.variance_delta, l.batch, l.out_c, l.out_w*l.out_h, l.delta);
+    if(l.type == BATCHNORM) copy_cpu(l.outputs*l.batch, l.delta, 1, state.delta, 1);
 }
 
 #ifdef GPU
@@ -166,10 +182,10 @@
         fast_mean_gpu(l.output_gpu, l.batch, l.out_c, l.out_h*l.out_w, l.mean_gpu);
         fast_variance_gpu(l.output_gpu, l.mean_gpu, l.batch, l.out_c, l.out_h*l.out_w, l.variance_gpu);
 
-        scal_ongpu(l.out_c, .95, l.rolling_mean_gpu, 1);
-        axpy_ongpu(l.out_c, .05, l.mean_gpu, 1, l.rolling_mean_gpu, 1);
-        scal_ongpu(l.out_c, .95, l.rolling_variance_gpu, 1);
-        axpy_ongpu(l.out_c, .05, l.variance_gpu, 1, l.rolling_variance_gpu, 1);
+        scal_ongpu(l.out_c, .99, l.rolling_mean_gpu, 1);
+        axpy_ongpu(l.out_c, .01, l.mean_gpu, 1, l.rolling_mean_gpu, 1);
+        scal_ongpu(l.out_c, .99, l.rolling_variance_gpu, 1);
+        axpy_ongpu(l.out_c, .01, l.variance_gpu, 1, l.rolling_variance_gpu, 1);
 
         copy_ongpu(l.outputs*l.batch, l.output_gpu, 1, l.x_gpu, 1);
         normalize_gpu(l.output_gpu, l.mean_gpu, l.variance_gpu, l.batch, l.out_c, l.out_h*l.out_w);

--
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