| | |
| | | check_error(cl); |
| | | } |
| | | |
| | | void test_learn_bias(convolutional_layer l) |
| | | { |
| | | int i; |
| | | int size = convolutional_out_height(l) * convolutional_out_width(l); |
| | | for(i = 0; i < size*l.batch*l.n; ++i){ |
| | | l.delta[i] = rand_uniform(); |
| | | } |
| | | for(i = 0; i < l.n; ++i){ |
| | | l.bias_updates[i] = rand_uniform(); |
| | | } |
| | | cl_write_array(l.delta_cl, l.delta, size*l.batch*l.n); |
| | | cl_write_array(l.bias_updates_cl, l.bias_updates, l.n); |
| | | float *gpu = calloc(l.n, sizeof(float)); |
| | | cl_read_array(l.bias_updates_cl, gpu, l.n); |
| | | for(i = 0; i < l.n; ++i) printf("%.9g %.9g\n", l.bias_updates[i], gpu[i]); |
| | | learn_bias_convolutional_layer_ongpu(l); |
| | | learn_bias_convolutional_layer(l); |
| | | cl_read_array(l.bias_updates_cl, gpu, l.n); |
| | | for(i = 0; i < l.n; ++i) printf("%.9g %.9g\n", l.bias_updates[i], gpu[i]); |
| | | } |
| | | |
| | | cl_kernel get_convolutional_bias_kernel() |
| | | { |
| | | static int init = 0; |