| | |
| | | check_error(cudaPeekAtLastError()); |
| | | } |
| | | |
| | | void swap_binary(convolutional_layer l) |
| | | void swap_binary(convolutional_layer *l) |
| | | { |
| | | float *swap = l.filters_gpu; |
| | | l.filters_gpu = l.binary_filters_gpu; |
| | | l.binary_filters_gpu = swap; |
| | | float *swap = l->filters_gpu; |
| | | l->filters_gpu = l->binary_filters_gpu; |
| | | l->binary_filters_gpu = swap; |
| | | } |
| | | |
| | | void forward_convolutional_layer_gpu(convolutional_layer l, network_state state) |
| | |
| | | fill_ongpu(l.outputs*l.batch, 0, l.output_gpu, 1); |
| | | if(l.binary){ |
| | | binarize_filters_gpu(l.filters_gpu, l.n, l.c*l.size*l.size, l.binary_filters_gpu); |
| | | swap_binary(l); |
| | | swap_binary(&l); |
| | | } |
| | | |
| | | for(i = 0; i < l.batch; ++i){ |
| | |
| | | add_bias_gpu(l.output_gpu, l.biases_gpu, l.batch, l.n, n); |
| | | |
| | | activate_array_ongpu(l.output_gpu, m*n*l.batch, l.activation); |
| | | if(l.binary) swap_binary(l); |
| | | if(l.binary) swap_binary(&l); |
| | | } |
| | | |
| | | void backward_convolutional_layer_gpu(convolutional_layer l, network_state state) |
| | |
| | | gemm_ongpu(0,1,m,n,k,1,a + i*m*k,k,b,k,1,c,n); |
| | | |
| | | if(state.delta){ |
| | | if(l.binary) swap_binary(l); |
| | | if(l.binary) swap_binary(&l); |
| | | float * a = l.filters_gpu; |
| | | float * b = l.delta_gpu; |
| | | float * c = l.col_image_gpu; |
| | |
| | | gemm_ongpu(1,0,n,k,m,1,a,n,b + i*k*m,k,0,c,k); |
| | | |
| | | col2im_ongpu(l.col_image_gpu, l.c, l.h, l.w, l.size, l.stride, l.pad, state.delta + i*l.c*l.h*l.w); |
| | | if(l.binary) swap_binary(l); |
| | | if(l.binary) swap_binary(&l); |
| | | } |
| | | } |
| | | } |