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Convolutional working on GPU

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This commit is contained in:
Joseph Redmon
2014-10-13 00:29:01 -07:00
parent 76ee68f96d
commit 787d534560
21 changed files with 643 additions and 93 deletions
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9
src/connected_layer.c
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@ -25,7 +25,7 @@ connected_layer *make_connected_layer(int batch, int inputs, int outputs, ACTIVA
layer->delta = calloc(batch*outputs, sizeof(float*));
layer->weight_updates = calloc(inputs*outputs, sizeof(float));
layer->weight_adapt = calloc(inputs*outputs, sizeof(float));
//layer->weight_adapt = calloc(inputs*outputs, sizeof(float));
layer->weight_momentum = calloc(inputs*outputs, sizeof(float));
layer->weights = calloc(inputs*outputs, sizeof(float));
float scale = 1./inputs;
@ -34,13 +34,16 @@ connected_layer *make_connected_layer(int batch, int inputs, int outputs, ACTIVA
layer->weights[i] = scale*2*(rand_uniform()-.5);
layer->bias_updates = calloc(outputs, sizeof(float));
layer->bias_adapt = calloc(outputs, sizeof(float));
//layer->bias_adapt = calloc(outputs, sizeof(float));
layer->bias_momentum = calloc(outputs, sizeof(float));
layer->biases = calloc(outputs, sizeof(float));
for(i = 0; i < outputs; ++i)
for(i = 0; i < outputs; ++i){
//layer->biases[i] = rand_normal()*scale + scale;
layer->biases[i] = 1;
}
#ifdef GPU
#endif
layer->activation = activation;
return layer;
}