YOLO IN TENSORT :)

src/pluginsRT/RegionRT.cpp

@@ -0,0 +1,89 @@
+#include<cassert>
+#include "kernels.h"
+
+class RegionRT : public IPlugin {
+
+public:
+	RegionRT(int classes, int coords, int num, float thresh) {
+
+		this->classes = classes;
+		this->coords = coords;
+		this->num = num;
+		this->thresh = thresh;
+	}
+
+	~RegionRT(){
+
+	}
+
+	int getNbOutputs() const override {
+		return 1;
+	}
+
+	Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) override {
+		return inputs[0];
+	}
+
+	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 {
+
+		value_type *srcData = (value_type*)reinterpret_cast<const value_type*>(inputs[0]);
+		value_type *dstData = reinterpret_cast<value_type*>(outputs[0]);
+
+		checkCuda( cudaMemcpy(dstData, srcData, batchSize*c*h*w*sizeof(value_type), cudaMemcpyDeviceToDevice));
+
+		for (int b = 0; b < batchSize; ++b){
+			for(int n = 0; n < num; ++n){
+				int index = entry_index(b, n*w*h, 0, batchSize);
+				activationLOGISTICForward(srcData + index, dstData + index, 2*w*h);
+				
+				index = entry_index(b, n*w*h, coords, batchSize);
+				activationLOGISTICForward(srcData + index, dstData + index, w*h);
+			}
+		}
+
+		//softmax start
+		int index = entry_index(0, 0, coords + 1, batchSize);
+		softmaxForward(	srcData + index, classes, batchSize*num, 
+						(batchSize*c*h*w)/num, 
+						w*h, 1, w*h, 1, dstData + index);
+
+		return 0;
+	}
+
+
+	virtual size_t getSerializationSize() override {
+		return 0;
+	}
+
+	virtual void serialize(void* buffer) override {
+	}
+
+	int c, h, w;
+    int classes, coords, num;
+    float thresh;
+
+	int entry_index(int batch, int location, int entry, int batchSize) {
+		int n =   location / (w*h);
+		int loc = location % (w*h);
+		return batch*c*h*w*batchSize + n*w*h*(coords+classes+1) + entry*w*h + loc;
+	}
+
+};