From 42d7438879c815494e623e20daf42cae3eeaff8a Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Fri, 10 Jul 2015 23:38:25 +0000
Subject: [PATCH] added jnet
---
src/network_kernels.cu | 9 +++++----
1 files changed, 5 insertions(+), 4 deletions(-)
diff --git a/src/network_kernels.cu b/src/network_kernels.cu
index da21d63..36f5594 100644
--- a/src/network_kernels.cu
+++ b/src/network_kernels.cu
@@ -7,6 +7,7 @@
#include "data.h"
#include "utils.h"
#include "params.h"
+#include "parser.h"
#include "crop_layer.h"
#include "connected_layer.h"
@@ -58,11 +59,12 @@
{
int i;
float * original_input = state.input;
+ float * original_delta = state.delta;
for(i = net.n-1; i >= 0; --i){
layer l = net.layers[i];
if(i == 0){
state.input = original_input;
- state.delta = 0;
+ state.delta = original_delta;
}else{
layer prev = net.layers[i-1];
state.input = prev.output_gpu;
@@ -119,6 +121,7 @@
cuda_push_array(*net.truth_gpu, y, y_size);
}
state.input = *net.input_gpu;
+ state.delta = 0;
state.truth = *net.truth_gpu;
state.train = 1;
forward_network_gpu(net, state);
@@ -132,20 +135,18 @@
float *get_network_output_layer_gpu(network net, int i)
{
layer l = net.layers[i];
+ cuda_pull_array(l.output_gpu, l.output, l.outputs*l.batch);
if(l.type == CONVOLUTIONAL){
return l.output;
} else if(l.type == DECONVOLUTIONAL){
return l.output;
} else if(l.type == CONNECTED){
- cuda_pull_array(l.output_gpu, l.output, l.outputs*l.batch);
return l.output;
} else if(l.type == DETECTION){
- cuda_pull_array(l.output_gpu, l.output, l.outputs*l.batch);
return l.output;
} else if(l.type == MAXPOOL){
return l.output;
} else if(l.type == SOFTMAX){
- pull_softmax_layer_output(l);
return l.output;
}
return 0;
--
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