Francesco Gatti
75 lines
2.0 KiB
C++
75 lines
2.0 KiB
C++
#include<cassert>
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#include "../kernels.h"
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class MaxPoolFixedSizeRT : public IPlugin {
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public:
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MaxPoolFixedSizeRT(int c, int h, int w, int n, int strideH, int strideW, int winSize, int padding) {
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this->c = c;
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this->h = h;
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this->w = w;
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this->n = n;
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this->stride_H = strideH;
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this->stride_W = strideW;
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this->winSize = winSize;
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this->padding = padding;
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}
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~MaxPoolFixedSizeRT(){
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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{this->c, this->h, this->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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std::cout<<this->n<<" "<<this->c<<" "<<this->h<<" "<<this->w<<" "<<this->stride_H<<" "<<this->stride_W<<" "<<this->winSize<<" "<<this->padding<<std::endl;
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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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MaxPoolingForward(srcData, dstData, this->n, this->c, this->h, this->w, this->stride_H, this->stride_W, this->winSize, this->padding);
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return 0;
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}
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virtual size_t getSerializationSize() override {
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return 8*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, this->c);
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tk::dnn::writeBUF(buf, this->h);
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tk::dnn::writeBUF(buf, this->w);
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tk::dnn::writeBUF(buf, this->n);
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tk::dnn::writeBUF(buf, this->stride_H);
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tk::dnn::writeBUF(buf, this->stride_W);
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tk::dnn::writeBUF(buf, this->winSize);
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tk::dnn::writeBUF(buf, this->padding);
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}
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int n, c, h, w;
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int stride_H, stride_W;
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int winSize;
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int padding;
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};
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