opencv/modules/dnn/src/layers/split_layer.cpp

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#include "../precomp.hpp"
#include "layers_common.hpp"

namespace cv
{
namespace dnn
{

class SplitLayerImpl : public SplitLayer
{
public:
    SplitLayerImpl(const LayerParams &params)
    {
        setParamsFrom(params);
        //TODO: maybe "top_count" param is useless because it can be determined by output connections number
        if (params.has("top_count"))
        {
            outputsCount = params.get<int>("top_count");
            CV_Assert(outputsCount >= 0);
        }
        else
        {
            outputsCount = -1;
        }
    }

    bool getMemoryShapes(const std::vector<MatShape> &inputs,
                         const int requiredOutputs,
                         std::vector<MatShape> &outputs,
                         std::vector<MatShape> &internals) const
    {
        CV_Assert(inputs.size() == 1);

        Layer::getMemoryShapes(inputs, max(1, outputsCount >= 0 ? outputsCount : requiredOutputs),
                               outputs, internals);
        return true;
    }

    void forward(std::vector<Mat*> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals)
    {
        CV_TRACE_FUNCTION();
        CV_TRACE_ARG_VALUE(name, "name", name.c_str());

        for (size_t i = 0; i < outputs.size(); i++)
        {
            CV_Assert(inputs[0]->total() == outputs[i].total());
            if (outputs[i].data != inputs[0]->data)
                inputs[0]->copyTo(outputs[i]);
        }
    }
};

Ptr<SplitLayer> SplitLayer::create(const LayerParams& params)
{
    return Ptr<SplitLayer>(new SplitLayerImpl(params));
}

}
}