| | |
| | | return layer; |
| | | } |
| | | |
| | | void resize_normalization_layer(normalization_layer *layer, int h, int w, int c) |
| | | void resize_normalization_layer(normalization_layer *layer, int h, int w) |
| | | { |
| | | layer->h = h; |
| | | layer->w = w; |
| | | layer->c = c; |
| | | layer->output = realloc(layer->output, h * w * c * layer->batch * sizeof(float)); |
| | | layer->delta = realloc(layer->delta, h * w * c * layer->batch * sizeof(float)); |
| | | layer->output = realloc(layer->output, h * w * layer->c * layer->batch * sizeof(float)); |
| | | layer->delta = realloc(layer->delta, h * w * layer->c * layer->batch * sizeof(float)); |
| | | layer->sums = realloc(layer->sums, h*w * sizeof(float)); |
| | | } |
| | | |
| | |
| | | int next = k+layer.size/2; |
| | | int prev = k-layer.size/2-1; |
| | | if(next < layer.c) add_square_array(in+next*imsize, layer.sums, imsize); |
| | | if(prev > 0) sub_square_array(in+prev*imsize, layer.sums, imsize); |
| | | if(prev > 0) sub_square_array(in+prev*imsize, layer.sums, imsize); |
| | | for(i = 0; i < imsize; ++i){ |
| | | layer.output[k*imsize + i] = in[k*imsize+i] / pow(layer.kappa + layer.alpha * layer.sums[i], layer.beta); |
| | | } |