xavier
77 lines
1.9 KiB
C++
77 lines
1.9 KiB
C++
#include<cassert>
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class FlattenConcatRT : public IPlugin {
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public:
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FlattenConcatRT() {
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stat = cublasCreate(&handle);
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if (stat != CUBLAS_STATUS_SUCCESS) {
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printf ("CUBLAS initialization failed\n");
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return;
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}
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}
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~FlattenConcatRT(){
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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] * inputs[0].d[1] * inputs[0].d[2], 1, 1};
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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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assert(nbOutputs == 1 && nbInputs ==1);
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rows = inputDims[0].d[0];
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cols = inputDims[0].d[1] * inputDims[0].d[2];
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c = inputDims[0].d[0] * inputDims[0].d[1] * inputDims[0].d[2];
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h = 1;
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w = 1;
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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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checkERROR(cublasDestroy(handle));
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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( cudaMemcpy(dstData, srcData, rows*cols*sizeof(dnnType), cudaMemcpyDeviceToDevice));
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float const alpha(1.0);
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float const beta(0.0);
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checkERROR( cublasSgeam( handle, CUBLAS_OP_T, CUBLAS_OP_N, rows, cols, &alpha, srcData, cols, &beta, srcData, rows, dstData, rows ));
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return 0;
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}
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virtual size_t getSerializationSize() override {
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return 5*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, c);
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tk::dnn::writeBUF(buf, h);
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tk::dnn::writeBUF(buf, w);
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tk::dnn::writeBUF(buf, rows);
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tk::dnn::writeBUF(buf, cols);
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}
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int c, h, w;
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int rows, cols;
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cublasStatus_t stat;
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cublasHandle_t handle;
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};
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