lots of cleaning

Joseph Redmon

2014-12-16 884045091b3a22d4dda3a9d743d076367c840ef7

 src/convolutional_layer.c

@@ -62,12 +62,12 @@

    layer->biases = calloc(n, sizeof(float));
    layer->bias_updates = calloc(n, sizeof(float));
    float scale = 1./(size*size*c);
    scale = .01;
    float scale = 1./sqrt(size*size*c);
    //scale = .05;
    for(i = 0; i < c*n*size*size; ++i) layer->filters[i] = scale*rand_normal();
    for(i = 0; i < n; ++i){
        //layer->biases[i] = rand_normal()*scale + scale;
        layer->biases[i] = .01;
        layer->biases[i] = scale;
    }
    int out_h = convolutional_out_height(*layer);
    int out_w = convolutional_out_width(*layer);
@@ -280,7 +280,6 @@
{
    int size = convolutional_out_height(layer) * convolutional_out_width(layer);

    cl_setup();
    cl_kernel kernel = get_convolutional_learn_bias_kernel();
    cl_command_queue queue = cl.queue;

@@ -315,7 +314,6 @@
    int out_w = convolutional_out_width(layer);
    int size = out_h*out_w;

    cl_setup();
    cl_kernel kernel = get_convolutional_bias_kernel();
    cl_command_queue queue = cl.queue;