From 054e2b1954aafb15b0e983180dda309cfd5d831f Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Thu, 12 May 2016 20:36:11 +0000
Subject: [PATCH] not sure
---
src/network_kernels.cu | 27 ++++++++++++++++++++++++++-
1 files changed, 26 insertions(+), 1 deletions(-)
diff --git a/src/network_kernels.cu b/src/network_kernels.cu
index a83293d..986a808 100644
--- a/src/network_kernels.cu
+++ b/src/network_kernels.cu
@@ -11,11 +11,13 @@
#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 "gru_layer.h"
+#include "crnn_layer.h"
#include "detection_layer.h"
#include "convolutional_layer.h"
#include "activation_layer.h"
@@ -23,6 +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"
@@ -57,6 +60,12 @@
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 == GRU){
+ forward_gru_layer_gpu(l, state);
+ } else if(l.type == CRNN){
+ forward_crnn_layer_gpu(l, state);
} else if(l.type == CROP){
forward_crop_layer_gpu(l, state);
} else if(l.type == COST){
@@ -65,6 +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){
@@ -114,10 +125,18 @@
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){
backward_cost_layer_gpu(l, state);
} else if(l.type == ROUTE){
@@ -141,6 +160,12 @@
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){
+ update_crnn_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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