C++ (Cpp) smooth_l1_gpuの例

コード例 #1

ファイル: cost_layer.c プロジェクト: BriSkyHekun/py-darknet-yolo

void forward_cost_layer_gpu(cost_layer l, network_state state)
{
    if (!state.truth) return;
    if (l.cost_type == MASKED) {
        mask_ongpu(l.batch*l.inputs, state.input, SECRET_NUM, state.truth);
    }

    if(l.cost_type == SMOOTH){
        smooth_l1_gpu(l.batch*l.inputs, state.input, state.truth, l.delta_gpu);
    } else {
        copy_ongpu(l.batch*l.inputs, state.truth, 1, l.delta_gpu, 1);
        axpy_ongpu(l.batch*l.inputs, -1, state.input, 1, l.delta_gpu, 1);
    }

    cuda_pull_array(l.delta_gpu, l.delta, l.batch*l.inputs);
    *(l.output) = dot_cpu(l.batch*l.inputs, l.delta, 1, l.delta, 1);
}

コード例 #2

ファイル: cost_layer.c プロジェクト: kunle12/darknet

void forward_cost_layer_gpu(cost_layer l, network *net)
{
    if (!net->truth) return;
    if(l.smooth){
        scal_gpu(l.batch*l.inputs, (1-l.smooth), net->truth_gpu, 1);
        add_gpu(l.batch*l.inputs, l.smooth * 1./l.inputs, net->truth_gpu, 1);
    }

    if(l.cost_type == SMOOTH){
        smooth_l1_gpu(l.batch*l.inputs, net->input_gpu, net->truth_gpu, l.delta_gpu, l.output_gpu);
    } else if (l.cost_type == L1){
        l1_gpu(l.batch*l.inputs, net->input_gpu, net->truth_gpu, l.delta_gpu, l.output_gpu);
    } else if (l.cost_type == WGAN){
        wgan_gpu(l.batch*l.inputs, net->input_gpu, net->truth_gpu, l.delta_gpu, l.output_gpu);
    } else {
        l2_gpu(l.batch*l.inputs, net->input_gpu, net->truth_gpu, l.delta_gpu, l.output_gpu);
    }

    if (l.cost_type == SEG && l.noobject_scale != 1) {
        scale_mask_gpu(l.batch*l.inputs, l.delta_gpu, 0, net->truth_gpu, l.noobject_scale);
        scale_mask_gpu(l.batch*l.inputs, l.output_gpu, 0, net->truth_gpu, l.noobject_scale);
    }
    if (l.cost_type == MASKED) {
        mask_gpu(l.batch*l.inputs, net->delta_gpu, SECRET_NUM, net->truth_gpu, 0);
    }

    if(l.ratio){
        cuda_pull_array(l.delta_gpu, l.delta, l.batch*l.inputs);
        qsort(l.delta, l.batch*l.inputs, sizeof(float), float_abs_compare);
        int n = (1-l.ratio) * l.batch*l.inputs;
        float thresh = l.delta[n];
        thresh = 0;
        printf("%f\n", thresh);
        supp_gpu(l.batch*l.inputs, thresh, l.delta_gpu, 1);
    }

    if(l.thresh){
        supp_gpu(l.batch*l.inputs, l.thresh*1./l.inputs, l.delta_gpu, 1);
    }

    cuda_pull_array(l.output_gpu, l.output, l.batch*l.inputs);
    l.cost[0] = sum_array(l.output, l.batch*l.inputs);
}

コード例 #3

ファイル: cost_layer.c プロジェクト: vaiv/OpenANPR

void forward_cost_layer_gpu(cost_layer l, network_state state)
{
    if (!state.truth) return;
    if(l.smooth){
        scal_ongpu(l.batch*l.inputs, (1-l.smooth), state.truth, 1);
        add_ongpu(l.batch*l.inputs, l.smooth * 1./l.inputs, state.truth, 1);
    }
    if (l.cost_type == MASKED) {
        mask_ongpu(l.batch*l.inputs, state.input, SECRET_NUM, state.truth);
    }

    if(l.cost_type == SMOOTH){
        smooth_l1_gpu(l.batch*l.inputs, state.input, state.truth, l.delta_gpu, l.output_gpu);
    } else if (l.cost_type == L1){
        l1_gpu(l.batch*l.inputs, state.input, state.truth, l.delta_gpu, l.output_gpu);
    } else {
        l2_gpu(l.batch*l.inputs, state.input, state.truth, l.delta_gpu, l.output_gpu);
    }

    if(l.ratio){
        cuda_pull_array(l.delta_gpu, l.delta, l.batch*l.inputs);
        qsort(l.delta, l.batch*l.inputs, sizeof(float), float_abs_compare);
        int n = (1-l.ratio) * l.batch*l.inputs;
        float thresh = l.delta[n];
        thresh = 0;
        printf("%f\n", thresh);
        supp_ongpu(l.batch*l.inputs, thresh, l.delta_gpu, 1);
    }

    if(l.thresh){
        supp_ongpu(l.batch*l.inputs, l.thresh*1./l.inputs, l.delta_gpu, 1);
    }

    cuda_pull_array(l.output_gpu, l.output, l.batch*l.inputs);
    l.cost[0] = sum_array(l.output, l.batch*l.inputs);
}