Better partial function

Joseph Redmon

2015-07-20 38bd6ae6ba24fc8c14fd61d1238ae94a983434b3

 src/network.c

@@ -10,7 +10,9 @@
#include "convolutional_layer.h"
#include "deconvolutional_layer.h"
#include "detection_layer.h"
#include "normalization_layer.h"
#include "maxpool_layer.h"
#include "avgpool_layer.h"
#include "cost_layer.h"
#include "softmax_layer.h"
#include "dropout_layer.h"
@@ -27,6 +29,8 @@
            return "connected";
        case MAXPOOL:
            return "maxpool";
        case AVGPOOL:
            return "avgpool";
        case SOFTMAX:
            return "softmax";
        case DETECTION:
@@ -39,6 +43,8 @@
            return "cost";
        case ROUTE:
            return "route";
        case NORMALIZATION:
            return "normalization";
        default:
            break;
    }
@@ -66,6 +72,8 @@
            forward_convolutional_layer(l, state);
        } else if(l.type == DECONVOLUTIONAL){
            forward_deconvolutional_layer(l, state);
        } else if(l.type == NORMALIZATION){
            forward_normalization_layer(l, state);
        } else if(l.type == DETECTION){
            forward_detection_layer(l, state);
        } else if(l.type == CONNECTED){
@@ -78,6 +86,8 @@
            forward_softmax_layer(l, state);
        } else if(l.type == MAXPOOL){
            forward_maxpool_layer(l, state);
        } else if(l.type == AVGPOOL){
            forward_avgpool_layer(l, state);
        } else if(l.type == DROPOUT){
            forward_dropout_layer(l, state);
        } else if(l.type == ROUTE){
@@ -147,8 +157,12 @@
            backward_convolutional_layer(l, state);
        } else if(l.type == DECONVOLUTIONAL){
            backward_deconvolutional_layer(l, state);
        } else if(l.type == NORMALIZATION){
            backward_normalization_layer(l, state);
        } else if(l.type == MAXPOOL){
            if(i != 0) backward_maxpool_layer(l, state);
        } else if(l.type == AVGPOOL){
            backward_avgpool_layer(l, state);
        } else if(l.type == DROPOUT){
            backward_dropout_layer(l, state);
        } else if(l.type == DETECTION){
@@ -266,6 +280,11 @@
            resize_convolutional_layer(&l, w, h);
        }else if(l.type == MAXPOOL){
            resize_maxpool_layer(&l, w, h);
        }else if(l.type == AVGPOOL){
            resize_avgpool_layer(&l, w, h);
            break;
        }else if(l.type == NORMALIZATION){
            resize_normalization_layer(&l, w, h);
        }else{
            error("Cannot resize this type of layer");
        }