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dnn: apply CV_OVERRIDE/CV_FINAL
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@@ -54,7 +54,7 @@ namespace cv
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namespace dnn
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{
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class MVNLayerImpl : public MVNLayer
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class MVNLayerImpl CV_FINAL : public MVNLayer
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{
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public:
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MVNLayerImpl(const LayerParams& params)
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@@ -71,7 +71,7 @@ public:
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Mat scale, shift;
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bool fuse_batch_norm;
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virtual bool tryFuse(Ptr<Layer>& top)
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virtual bool tryFuse(Ptr<Layer>& top) CV_OVERRIDE
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{
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if (preferableTarget == DNN_TARGET_OPENCL && !fuse_batch_norm)
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{
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@@ -85,7 +85,7 @@ public:
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Ptr<ReLULayer> activ_relu;
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float relu_slope;
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bool fuse_relu;
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bool setActivation(const Ptr<ActivationLayer>& layer)
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bool setActivation(const Ptr<ActivationLayer>& layer) CV_OVERRIDE
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{
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if (!layer.empty() && preferableTarget == DNN_TARGET_OPENCL)
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{
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@@ -244,7 +244,7 @@ public:
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}
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#endif
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void forward(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr, OutputArrayOfArrays internals_arr)
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void forward(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr, OutputArrayOfArrays internals_arr) CV_OVERRIDE
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{
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CV_TRACE_FUNCTION();
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CV_TRACE_ARG_VALUE(name, "name", name.c_str());
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@@ -256,7 +256,7 @@ public:
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Layer::forward_fallback(inputs_arr, outputs_arr, internals_arr);
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}
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void forward(std::vector<Mat *> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals)
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void forward(std::vector<Mat *> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals) CV_OVERRIDE
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{
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CV_TRACE_FUNCTION();
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CV_TRACE_ARG_VALUE(name, "name", name.c_str());
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@@ -295,7 +295,7 @@ public:
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}
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virtual int64 getFLOPS(const std::vector<MatShape> &inputs,
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const std::vector<MatShape> &outputs) const
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const std::vector<MatShape> &outputs) const CV_OVERRIDE
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{
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(void)outputs; // suppress unused variable warning
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long flops = 0;
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