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dnn: apply CV_OVERRIDE/CV_FINAL

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This commit is contained in:
Alexander Alekhin
2018-03-15 16:16:56 +03:00
parent bdbd0129af
commit 1060c0f439
39 changed files with 313 additions and 277 deletions
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modules/dnn/src/layers/shift_layer.cpp
+9 -9
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@@ -18,7 +18,7 @@ namespace cv
namespace dnn
{
class ShiftLayerImpl : public ShiftLayer
class ShiftLayerImpl CV_FINAL : public ShiftLayer
{
public:
ShiftLayerImpl(const LayerParams &params)
@@ -27,7 +27,7 @@ public:
CV_Assert(blobs.size() == 1);
}
virtual bool supportBackend(int backendId)
virtual bool supportBackend(int backendId) CV_OVERRIDE
{
return backendId == DNN_BACKEND_DEFAULT ||
backendId == DNN_BACKEND_INFERENCE_ENGINE && haveInfEngine();
@@ -36,14 +36,14 @@ public:
bool getMemoryShapes(const std::vector<MatShape> &inputs,
const int requiredOutputs,
std::vector<MatShape> &outputs,
std::vector<MatShape> &internals) const
std::vector<MatShape> &internals) const CV_OVERRIDE
{
Layer::getMemoryShapes(inputs, requiredOutputs, outputs, internals);
internals.assign(1, shape(1, total(inputs[0], 2)));
return true;
}
void forward(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr, OutputArrayOfArrays internals_arr)
void forward(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr, OutputArrayOfArrays internals_arr) CV_OVERRIDE
{
CV_TRACE_FUNCTION();
CV_TRACE_ARG_VALUE(name, "name", name.c_str());
@@ -51,7 +51,7 @@ public:
Layer::forward_fallback(inputs_arr, outputs_arr, internals_arr);
}
virtual void forward(std::vector<Mat*> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals)
virtual void forward(std::vector<Mat*> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals) CV_OVERRIDE
{
CV_TRACE_FUNCTION();
CV_TRACE_ARG_VALUE(name, "name", name.c_str());
@@ -90,7 +90,7 @@ public:
}
}
virtual Ptr<BackendNode> tryAttach(const Ptr<BackendNode>& node)
virtual Ptr<BackendNode> tryAttach(const Ptr<BackendNode>& node) CV_OVERRIDE
{
switch (node->backendId)
{
@@ -111,7 +111,7 @@ public:
return Ptr<BackendNode>();
}
virtual Ptr<BackendNode> initInfEngine(const std::vector<Ptr<BackendWrapper> >&)
virtual Ptr<BackendNode> initInfEngine(const std::vector<Ptr<BackendWrapper> >&) CV_OVERRIDE
{
#ifdef HAVE_INF_ENGINE
// Inference Engine has no layer just for biases. Create a linear
@@ -136,14 +136,14 @@ public:
return Ptr<BackendNode>();
}
void getScaleShift(Mat& scale, Mat& shift) const
void getScaleShift(Mat& scale, Mat& shift) const CV_OVERRIDE
{
scale = Mat();
shift = blobs[0];
}
virtual int64 getFLOPS(const std::vector<MatShape> &inputs,
const std::vector<MatShape> &outputs) const
const std::vector<MatShape> &outputs) const CV_OVERRIDE
{
(void)outputs; // suppress unused variable warning
long flops = 0;