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tkDNN/include/tkDNN/pluginsRT/RouteRT.h
T
Francesco Gatti 04602f3952 Yolo4-tiny batched
fix #59
2020-06-30 19:37:16 +02:00

96 lines
2.2 KiB
C++

#include<cassert>
#include "../kernels.h"
class RouteRT : public IPlugin {
/**
THIS IS NOT USED ANYMORE
*/
public:
RouteRT(int groups, int group_id) {
this->groups = groups;
this->group_id = group_id;
}
~RouteRT(){
}
int getNbOutputs() const override {
return 1;
}
Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) override {
int out_c = 0;
for(int i=0; i<nbInputDims; i++) out_c += inputs[i].d[0];
return DimsCHW{out_c/groups, inputs[0].d[1], inputs[0].d[2]};
}
void configure(const Dims* inputDims, int nbInputs, const Dims* outputDims, int nbOutputs, int maxBatchSize) override {
in = nbInputs;
c = 0;
for(int i=0; i<nbInputs; i++) {
c_in[i] = inputDims[i].d[0];
c += inputDims[i].d[0];
}
h = inputDims[0].d[1];
w = inputDims[0].d[2];
c /= groups;
}
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 *dstData = reinterpret_cast<dnnType*>(outputs[0]);
for(int b=0; b<batchSize; b++) {
int offset = 0;
for(int i=0; i<in; i++) {
dnnType *input = (dnnType*)reinterpret_cast<const dnnType*>(inputs[i]);
int in_dim = c_in[i]*h*w;
int part_in_dim = in_dim / this->groups;
checkCuda( cudaMemcpyAsync(dstData + b*c*w*h + offset, input + b*c*w*h*groups + this->group_id*part_in_dim, part_in_dim*sizeof(dnnType), cudaMemcpyDeviceToDevice, stream) );
offset += part_in_dim;
}
}
return 0;
}
virtual size_t getSerializationSize() override {
return (6+MAX_INPUTS)*sizeof(int);
}
virtual void serialize(void* buffer) override {
char *buf = reinterpret_cast<char*>(buffer);
tk::dnn::writeBUF(buf, groups);
tk::dnn::writeBUF(buf, group_id);
tk::dnn::writeBUF(buf, in);
for(int i=0; i<MAX_INPUTS; i++)
tk::dnn::writeBUF(buf, c_in[i]);
tk::dnn::writeBUF(buf, c);
tk::dnn::writeBUF(buf, h);
tk::dnn::writeBUF(buf, w);
}
static const int MAX_INPUTS = 4;
int in;
int c_in[MAX_INPUTS];
int c, h, w;
int groups, group_id;
};