From eaf033c0570308dfcd381ed61d274c7f5add7cfc Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Mon, 09 Nov 2015 21:27:02 +0000
Subject: [PATCH] Added tiny yolo model
---
src/network_kernels.cu | 9 ++-------
1 files changed, 2 insertions(+), 7 deletions(-)
diff --git a/src/network_kernels.cu b/src/network_kernels.cu
index cfc6e83..8561372 100644
--- a/src/network_kernels.cu
+++ b/src/network_kernels.cu
@@ -13,7 +13,6 @@
#include "crop_layer.h"
#include "connected_layer.h"
#include "detection_layer.h"
-#include "region_layer.h"
#include "convolutional_layer.h"
#include "deconvolutional_layer.h"
#include "maxpool_layer.h"
@@ -36,7 +35,7 @@
for(i = 0; i < net.n; ++i){
layer l = net.layers[i];
if(l.delta_gpu){
- scal_ongpu(l.outputs * l.batch, 0, l.delta_gpu, 1);
+ fill_ongpu(l.outputs * l.batch, 0, l.delta_gpu, 1);
}
if(l.type == CONVOLUTIONAL){
forward_convolutional_layer_gpu(l, state);
@@ -44,8 +43,6 @@
forward_deconvolutional_layer_gpu(l, state);
} else if(l.type == DETECTION){
forward_detection_layer_gpu(l, state);
- } else if(l.type == REGION){
- forward_region_layer_gpu(l, state);
} else if(l.type == CONNECTED){
forward_connected_layer_gpu(l, state);
} else if(l.type == CROP){
@@ -96,8 +93,6 @@
backward_dropout_layer_gpu(l, state);
} else if(l.type == DETECTION){
backward_detection_layer_gpu(l, state);
- } else if(l.type == REGION){
- backward_region_layer_gpu(l, state);
} else if(l.type == NORMALIZATION){
backward_normalization_layer_gpu(l, state);
} else if(l.type == SOFTMAX){
@@ -134,7 +129,7 @@
network_state state;
int x_size = get_network_input_size(net)*net.batch;
int y_size = get_network_output_size(net)*net.batch;
- if(net.layers[net.n-1].type == REGION) y_size = net.layers[net.n-1].truths*net.batch;
+ if(net.layers[net.n-1].type == DETECTION) y_size = net.layers[net.n-1].truths*net.batch;
if(!*net.input_gpu){
*net.input_gpu = cuda_make_array(x, x_size);
*net.truth_gpu = cuda_make_array(y, y_size);
--
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