#include "dropout_layer.h"
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#include "params.h"
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#include "utils.h"
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#include "cuda.h"
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#include <stdlib.h>
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#include <stdio.h>
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dropout_layer *make_dropout_layer(int batch, int inputs, float probability)
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{
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fprintf(stderr, "Dropout Layer: %d inputs, %f probability\n", inputs, probability);
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dropout_layer *layer = calloc(1, sizeof(dropout_layer));
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layer->probability = probability;
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layer->inputs = inputs;
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layer->batch = batch;
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layer->rand = calloc(inputs*batch, sizeof(float));
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layer->scale = 1./(1.-probability);
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#ifdef GPU
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layer->rand_gpu = cuda_make_array(layer->rand, inputs*batch);
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#endif
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return layer;
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}
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void resize_dropout_layer(dropout_layer *layer, int inputs)
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{
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layer->rand = realloc(layer->rand, layer->inputs*layer->batch*sizeof(float));
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#ifdef GPU
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cuda_free(layer->rand_gpu);
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layer->rand_gpu = cuda_make_array(layer->rand, inputs*layer->batch);
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#endif
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}
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void forward_dropout_layer(dropout_layer layer, network_state state)
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{
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int i;
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if (!state.train) return;
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for(i = 0; i < layer.batch * layer.inputs; ++i){
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float r = rand_uniform();
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layer.rand[i] = r;
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if(r < layer.probability) state.input[i] = 0;
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else state.input[i] *= layer.scale;
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}
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}
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void backward_dropout_layer(dropout_layer layer, network_state state)
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{
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int i;
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if(!state.delta) return;
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for(i = 0; i < layer.batch * layer.inputs; ++i){
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float r = layer.rand[i];
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if(r < layer.probability) state.delta[i] = 0;
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else state.delta[i] *= layer.scale;
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}
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}
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