From b711627e84d2245e31a3b71d9e1119db49d6287c Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Thu, 28 Jan 2016 20:30:54 +0000
Subject: [PATCH] rnn cfg

---
 src/network_kernels.cu |   13 ++++++++++++-
 1 files changed, 12 insertions(+), 1 deletions(-)

diff --git a/src/network_kernels.cu b/src/network_kernels.cu
index 0b50647..ea12819 100644
--- a/src/network_kernels.cu
+++ b/src/network_kernels.cu
@@ -11,13 +11,14 @@
 #include "image.h"
 #include "data.h"
 #include "utils.h"
-#include "params.h"
 #include "parser.h"
 
 #include "crop_layer.h"
 #include "connected_layer.h"
+#include "rnn_layer.h"
 #include "detection_layer.h"
 #include "convolutional_layer.h"
+#include "activation_layer.h"
 #include "deconvolutional_layer.h"
 #include "maxpool_layer.h"
 #include "avgpool_layer.h"
@@ -48,12 +49,16 @@
             forward_convolutional_layer_gpu(l, state);
         } else if(l.type == DECONVOLUTIONAL){
             forward_deconvolutional_layer_gpu(l, state);
+        } else if(l.type == ACTIVE){
+            forward_activation_layer_gpu(l, state);
         } else if(l.type == LOCAL){
             forward_local_layer_gpu(l, state);
         } else if(l.type == DETECTION){
             forward_detection_layer_gpu(l, state);
         } else if(l.type == CONNECTED){
             forward_connected_layer_gpu(l, state);
+        } else if(l.type == RNN){
+            forward_rnn_layer_gpu(l, state);
         } else if(l.type == CROP){
             forward_crop_layer_gpu(l, state);
         } else if(l.type == COST){
@@ -97,6 +102,8 @@
             backward_convolutional_layer_gpu(l, state);
         } else if(l.type == DECONVOLUTIONAL){
             backward_deconvolutional_layer_gpu(l, state);
+        } else if(l.type == ACTIVE){
+            backward_activation_layer_gpu(l, state);
         } else if(l.type == LOCAL){
             backward_local_layer_gpu(l, state);
         } else if(l.type == MAXPOOL){
@@ -113,6 +120,8 @@
             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 == COST){
             backward_cost_layer_gpu(l, state);
         } else if(l.type == ROUTE){
@@ -136,6 +145,8 @@
             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 == RNN){
+            update_rnn_layer_gpu(l, update_batch, rate, net.momentum, net.decay);
         } else if(l.type == LOCAL){
             update_local_layer_gpu(l, update_batch, rate, net.momentum, net.decay);
         }

--
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