level adjustment for images

Joseph Redmon

2015-04-15 d97331b88ff3d50035b1e22c9d0eb671b61227e3

 src/dropout_layer.c

@@ -1,6 +1,9 @@
#include "dropout_layer.h"
#include "stdlib.h"
#include "stdio.h"
#include "params.h"
#include "utils.h"
#include "cuda.h"
#include <stdlib.h>
#include <stdio.h>

dropout_layer *make_dropout_layer(int batch, int inputs, float probability)
{
@@ -9,18 +12,44 @@
    layer->probability = probability;
    layer->inputs = inputs;
    layer->batch = batch;
    layer->rand = calloc(inputs*batch, sizeof(float));
    layer->scale = 1./(1.-probability);
    #ifdef GPU
    layer->rand_gpu = cuda_make_array(layer->rand, inputs*batch);
    #endif
    return layer;
} 

void forward_dropout_layer(dropout_layer layer, float *input)
void resize_dropout_layer(dropout_layer *layer, int inputs)
{
    layer->rand = realloc(layer->rand, layer->inputs*layer->batch*sizeof(float));
    #ifdef GPU
    cuda_free(layer->rand_gpu);

    layer->rand_gpu = cuda_make_array(layer->rand, inputs*layer->batch);
    #endif
}

void forward_dropout_layer(dropout_layer layer, network_state state)
{
    int i;
    if (!state.train) return;
    for(i = 0; i < layer.batch * layer.inputs; ++i){
        if((float)rand()/RAND_MAX < layer.probability) input[i] = 0;
        else input[i] /= (1-layer.probability);
        float r = rand_uniform();
        layer.rand[i] = r;
        if(r < layer.probability) state.input[i] = 0;
        else state.input[i] *= layer.scale;
    }
}
void backward_dropout_layer(dropout_layer layer, float *input, float *delta)

void backward_dropout_layer(dropout_layer layer, network_state state)
{
    // Don't do shit LULZ
    int i;
    if(!state.delta) return;
    for(i = 0; i < layer.batch * layer.inputs; ++i){
        float r = layer.rand[i];
        if(r < layer.probability) state.delta[i] = 0;
        else state.delta[i] *= layer.scale;
    }
}