hchandirasekar
63 lines
1.4 KiB
C++
63 lines
1.4 KiB
C++
#include<cassert>
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class ReshapeRT : public IPlugin {
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public:
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ReshapeRT(dataDim_t new_dim) {
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n = new_dim.n;
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c = new_dim.c;
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h = new_dim.h;
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w = new_dim.w;
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}
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~ReshapeRT(){
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}
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int getNbOutputs() const override {
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return 1;
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}
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Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) override {
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return DimsCHW{ c,h,w};
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}
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void configure(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs, int maxBatchSize) override {
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}
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int initialize() override {
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return 0;
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}
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virtual void terminate() override {
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}
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virtual size_t getWorkspaceSize(int maxBatchSize) const override {
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return 0;
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}
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virtual int enqueue(int batchSize, const void*const * inputs, void** outputs, void* workspace, cudaStream_t stream) override {
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dnnType *srcData = (dnnType*)reinterpret_cast<const dnnType*>(inputs[0]);
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dnnType *dstData = reinterpret_cast<dnnType*>(outputs[0]);
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checkCuda( cudaMemcpyAsync(dstData, srcData, batchSize*c*h*w*sizeof(dnnType), cudaMemcpyDeviceToDevice, stream));
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return 0;
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}
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virtual size_t getSerializationSize() override {
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return 4*sizeof(int);
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}
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virtual void serialize(void* buffer) override {
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char *buf = reinterpret_cast<char*>(buffer),*a = buf;
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tk::dnn::writeBUF(buf, n);
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tk::dnn::writeBUF(buf, c);
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tk::dnn::writeBUF(buf, h);
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tk::dnn::writeBUF(buf, w);
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assert(buf == a + getSerializationSize());
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}
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int n, c, h, w;
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};
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