yolo TensorRT almost DONE

src/pluginsRT/ReorgRT.cpp

@@ -0,0 +1,58 @@
+#include<cassert>
+#include "kernels.h"
+
+class ReorgRT : public IPlugin {
+
+public:
+	ReorgRT(int stride) {
+		this->stride = stride;
+	}
+
+	~ReorgRT(){
+
+	}
+
+	int getNbOutputs() const override {
+		return 1;
+	}
+
+	Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) override {
+		return DimsCHW{inputs[0].d[0]*stride*stride, inputs[0].d[1]/stride, inputs[0].d[2]/stride};
+	}
+
+	void configure(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs, int maxBatchSize) override {
+		c = inputDims[0].d[0];
+		h = inputDims[0].d[1];
+		w = inputDims[0].d[2];
+	}
+
+	int initialize() override {
+
+		return 0;
+	}
+
+	virtual void terminate() override {
+	}
+
+	virtual size_t getWorkspaceSize(int maxBatchSize) const override {
+		return 0;
+	}
+
+	virtual int enqueue(int batchSize, const void*const * inputs, void** outputs, void* workspace, cudaStream_t stream) override {
+
+		reorgForward((value_type*)reinterpret_cast<const value_type*>(inputs[0]), 
+					  reinterpret_cast<value_type*>(outputs[0]), 
+					  batchSize, c, h, w, stride);
+		return 0;
+	}
+
+
+	virtual size_t getSerializationSize() override {
+		return 0;
+	}
+
+	virtual void serialize(void* buffer) override {
+	}
+
+	int c, h, w, stride;
+};