Francesco Gatti
64 lines
1.4 KiB
C++
64 lines
1.4 KiB
C++
#include<cassert>
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#include "../kernels.h"
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class ReorgRT : public IPlugin {
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public:
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ReorgRT(int stride) {
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this->stride = stride;
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}
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~ReorgRT(){
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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{inputs[0].d[0]*stride*stride, inputs[0].d[1]/stride, inputs[0].d[2]/stride};
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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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c = inputDims[0].d[0];
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h = inputDims[0].d[1];
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w = inputDims[0].d[2];
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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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reorgForward((dnnType*)reinterpret_cast<const dnnType*>(inputs[0]),
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reinterpret_cast<dnnType*>(outputs[0]),
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batchSize, c, h, w, stride, 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);
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tk::dnn::writeBUF(buf, stride);
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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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}
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int c, h, w, stride;
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};
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