From 5f4a5f59b072d4029107422d30b04941424c48b1 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Tue, 24 Feb 2015 02:52:05 +0000
Subject: [PATCH] captcha stuff
---
src/softmax_layer.c | 44 +++++++++++++++++++++++++++-----------------
1 files changed, 27 insertions(+), 17 deletions(-)
diff --git a/src/softmax_layer.c b/src/softmax_layer.c
index aa5ab06..a200ae5 100644
--- a/src/softmax_layer.c
+++ b/src/softmax_layer.c
@@ -5,16 +5,18 @@
#include <math.h>
#include <stdlib.h>
#include <stdio.h>
+#include <assert.h>
-softmax_layer *make_softmax_layer(int batch, int inputs)
+softmax_layer *make_softmax_layer(int batch, int groups, int inputs)
{
+ assert(inputs%groups == 0);
fprintf(stderr, "Softmax Layer: %d inputs\n", inputs);
softmax_layer *layer = calloc(1, sizeof(softmax_layer));
layer->batch = batch;
+ layer->groups = groups;
layer->inputs = inputs;
layer->output = calloc(inputs*batch, sizeof(float));
layer->delta = calloc(inputs*batch, sizeof(float));
- layer->jacobian = calloc(inputs*inputs*batch, sizeof(float));
#ifdef GPU
layer->output_gpu = cuda_make_array(layer->output, inputs*batch);
layer->delta_gpu = cuda_make_array(layer->delta, inputs*batch);
@@ -22,23 +24,31 @@
return layer;
}
+void softmax_array(float *input, int n, float *output)
+{
+ int i;
+ float sum = 0;
+ float largest = -FLT_MAX;
+ for(i = 0; i < n; ++i){
+ if(input[i] > largest) largest = input[i];
+ }
+ for(i = 0; i < n; ++i){
+ sum += exp(input[i]-largest);
+ }
+ if(sum) sum = largest+log(sum);
+ else sum = largest-100;
+ for(i = 0; i < n; ++i){
+ output[i] = exp(input[i]-sum);
+ }
+}
+
void forward_softmax_layer(const softmax_layer layer, float *input)
{
- int i,b;
- for(b = 0; b < layer.batch; ++b){
- float sum = 0;
- float largest = -FLT_MAX;
- for(i = 0; i < layer.inputs; ++i){
- if(input[i+b*layer.inputs] > largest) largest = input[i+b*layer.inputs];
- }
- for(i = 0; i < layer.inputs; ++i){
- sum += exp(input[i+b*layer.inputs]-largest);
- }
- if(sum) sum = largest+log(sum);
- else sum = largest-100;
- for(i = 0; i < layer.inputs; ++i){
- layer.output[i+b*layer.inputs] = exp(input[i+b*layer.inputs]-sum);
- }
+ int b;
+ int inputs = layer.inputs / layer.groups;
+ int batch = layer.batch * layer.groups;
+ for(b = 0; b < batch; ++b){
+ softmax_array(input+b*inputs, inputs, layer.output+b*inputs);
}
}
--
Gitblit v1.10.0