#include<cassert>

class ReshapeRT : public IPlugin {

public:
	ReshapeRT(dataDim_t new_dim) {
		n = new_dim.n;
		c = new_dim.c;
		h = new_dim.h;
		w = new_dim.w;
	}

	~ReshapeRT(){

	}

	int getNbOutputs() const override {
		return 1;
	}

	Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) override {
		return DimsCHW{ c,h,w};
	}

	void configure(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs, int maxBatchSize) override {
	}

	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 {
		dnnType *srcData = (dnnType*)reinterpret_cast<const dnnType*>(inputs[0]);
		dnnType *dstData = reinterpret_cast<dnnType*>(outputs[0]);

		checkCuda( cudaMemcpy(dstData, srcData, c*h*w*sizeof(dnnType), cudaMemcpyDeviceToDevice));
		return 0;
	}


	virtual size_t getSerializationSize() override {
		return 4*sizeof(int);
	}

	virtual void serialize(void* buffer) override {
		char *buf = reinterpret_cast<char*>(buffer);
		tk::dnn::writeBUF(buf, n);
		tk::dnn::writeBUF(buf, c);
		tk::dnn::writeBUF(buf, h);
		tk::dnn::writeBUF(buf, w);
	}

	int n, c, h, w;
};