From f7a17f82eb43de864a4f980f235055da9685eef8 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Wed, 29 Jan 2014 00:28:42 +0000
Subject: [PATCH] Convolutional layers working w/ matrices
---
src/softmax_layer.c | 28 +++++++++++++++++++++++-----
1 files changed, 23 insertions(+), 5 deletions(-)
diff --git a/src/softmax_layer.c b/src/softmax_layer.c
index b213e5b..1e01bd2 100644
--- a/src/softmax_layer.c
+++ b/src/softmax_layer.c
@@ -8,15 +8,16 @@
fprintf(stderr, "Softmax Layer: %d inputs\n", inputs);
softmax_layer *layer = calloc(1, sizeof(softmax_layer));
layer->inputs = inputs;
- layer->output = calloc(inputs, sizeof(double));
- layer->delta = calloc(inputs, sizeof(double));
+ layer->output = calloc(inputs, sizeof(float));
+ layer->delta = calloc(inputs, sizeof(float));
return layer;
}
-void forward_softmax_layer(const softmax_layer layer, double *input)
+/* UNSTABLE!
+void forward_softmax_layer(const softmax_layer layer, float *input)
{
int i;
- double sum = 0;
+ float sum = 0;
for(i = 0; i < layer.inputs; ++i){
sum += exp(input[i]);
}
@@ -24,8 +25,25 @@
layer.output[i] = exp(input[i])/sum;
}
}
+*/
+void forward_softmax_layer(const softmax_layer layer, float *input)
+{
+ int i;
+ float sum = 0;
+ float largest = 0;
+ for(i = 0; i < layer.inputs; ++i){
+ if(input[i] > largest) largest = input[i];
+ }
+ for(i = 0; i < layer.inputs; ++i){
+ sum += exp(input[i]-largest);
+ }
+ sum = largest+log(sum);
+ for(i = 0; i < layer.inputs; ++i){
+ layer.output[i] = exp(input[i]-sum);
+ }
+}
-void backward_softmax_layer(const softmax_layer layer, double *input, double *delta)
+void backward_softmax_layer(const softmax_layer layer, float *input, float *delta)
{
int i;
for(i = 0; i < layer.inputs; ++i){
--
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