From c7b10ceadb1a78e7480d281444a31ae2a7dc1b05 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Fri, 06 May 2016 23:25:16 +0000
Subject: [PATCH] so much need to commit

---
 src/network_kernels.cu |   12 ++++++++++++
 1 files changed, 12 insertions(+), 0 deletions(-)

diff --git a/src/network_kernels.cu b/src/network_kernels.cu
index 730634e..986a808 100644
--- a/src/network_kernels.cu
+++ b/src/network_kernels.cu
@@ -16,6 +16,7 @@
 #include "crop_layer.h"
 #include "connected_layer.h"
 #include "rnn_layer.h"
+#include "gru_layer.h"
 #include "crnn_layer.h"
 #include "detection_layer.h"
 #include "convolutional_layer.h"
@@ -24,6 +25,7 @@
 #include "maxpool_layer.h"
 #include "avgpool_layer.h"
 #include "normalization_layer.h"
+#include "batchnorm_layer.h"
 #include "cost_layer.h"
 #include "local_layer.h"
 #include "softmax_layer.h"
@@ -60,6 +62,8 @@
             forward_connected_layer_gpu(l, state);
         } else if(l.type == RNN){
             forward_rnn_layer_gpu(l, state);
+        } else if(l.type == GRU){
+            forward_gru_layer_gpu(l, state);
         } else if(l.type == CRNN){
             forward_crnn_layer_gpu(l, state);
         } else if(l.type == CROP){
@@ -70,6 +74,8 @@
             forward_softmax_layer_gpu(l, state);
         } else if(l.type == NORMALIZATION){
             forward_normalization_layer_gpu(l, state);
+        } else if(l.type == BATCHNORM){
+            forward_batchnorm_layer_gpu(l, state);
         } else if(l.type == MAXPOOL){
             forward_maxpool_layer_gpu(l, state);
         } else if(l.type == AVGPOOL){
@@ -119,12 +125,16 @@
             backward_detection_layer_gpu(l, state);
         } else if(l.type == NORMALIZATION){
             backward_normalization_layer_gpu(l, state);
+        } else if(l.type == BATCHNORM){
+            backward_batchnorm_layer_gpu(l, state);
         } else if(l.type == SOFTMAX){
             if(i != 0) backward_softmax_layer_gpu(l, state);
         } else if(l.type == CONNECTED){
             backward_connected_layer_gpu(l, state);
         } else if(l.type == RNN){
             backward_rnn_layer_gpu(l, state);
+        } else if(l.type == GRU){
+            backward_gru_layer_gpu(l, state);
         } else if(l.type == CRNN){
             backward_crnn_layer_gpu(l, state);
         } else if(l.type == COST){
@@ -150,6 +160,8 @@
             update_deconvolutional_layer_gpu(l, rate, net.momentum, net.decay);
         } else if(l.type == CONNECTED){
             update_connected_layer_gpu(l, update_batch, rate, net.momentum, net.decay);
+        } else if(l.type == GRU){
+            update_gru_layer_gpu(l, update_batch, rate, net.momentum, net.decay);
         } else if(l.type == RNN){
             update_rnn_layer_gpu(l, update_batch, rate, net.momentum, net.decay);
         } else if(l.type == CRNN){

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