| | |
| | | { |
| | | int size = layer.size*layer.size*layer.c*layer.n; |
| | | axpy_cpu(layer.n, layer.learning_rate, layer.bias_updates, 1, layer.biases, 1); |
| | | scal_cpu(layer.n,layer.momentum, layer.bias_updates, 1); |
| | | scal_cpu(layer.n, layer.momentum, layer.bias_updates, 1); |
| | | |
| | | scal_cpu(size, 1.-layer.learning_rate*layer.decay, layer.filters, 1); |
| | | axpy_cpu(size, layer.learning_rate, layer.filter_updates, 1, layer.filters, 1); |
| | |
| | | cl_read_array(layer.biases_cl, layer.biases, layer.n); |
| | | } |
| | | |
| | | void push_convolutional_layer(convolutional_layer layer) |
| | | { |
| | | cl_write_array(layer.filters_cl, layer.filters, layer.c*layer.n*layer.size*layer.size); |
| | | cl_write_array(layer.biases_cl, layer.biases, layer.n); |
| | | } |
| | | |
| | | void update_convolutional_layer_gpu(convolutional_layer layer) |
| | | { |
| | | int size = layer.size*layer.size*layer.c*layer.n; |