mmr/tkDNN
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yolov4tiny works on CUDNN

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Signed-off-by: Micaela Verucchi <micaelaverucchi@gmail.com>
This commit is contained in:
Micaela Verucchi
2020-06-30 15:19:03 +02:00
parent 6d9beb1ec5
commit 61aa24c6b7
6 changed files with 328 additions and 5 deletions
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src/DarknetParser.cpp
+3 -1
View File
@@ -75,6 +75,8 @@ namespace tk { namespace dnn {
fields.coords = std::stoi(value);
else if(name.find("groups") != std::string::npos)
fields.groups = std::stoi(value);
else if(name.find("group_id") != std::string::npos)
fields.group_id = std::stoi(value);
else if(name.find("scale_x_y") != std::string::npos)
fields.scale_xy = std::stof(value);
else if(name.find("from") != std::string::npos)
@@ -148,7 +150,7 @@ namespace tk { namespace dnn {
//std::cout<<"Route to "<<layerIdx<<" "<<netLayers[layerIdx]->getLayerName()<<"\n";
layers.push_back(netLayers[layerIdx]);
}
netLayers.push_back(new tk::dnn::Route(net, layers.data(), layers.size()));
netLayers.push_back(new tk::dnn::Route(net, layers.data(), layers.size(), f.groups, f.group_id));
} else if(f.type == "reorg") {
netLayers.push_back(new tk::dnn::Reorg(net, f.stride_x));
src/Route.cpp
+7 -3
View File
@@ -5,7 +5,7 @@
namespace tk { namespace dnn {
Route::Route(Network *net, Layer **layers, int layers_n) : Layer(net) {
Route::Route(Network *net, Layer **layers, int layers_n, int groups, int group_id) : Layer(net) {
// copy input layers
if(layers_n > MAX_LAYERS) {
@@ -15,6 +15,8 @@ Route::Route(Network *net, Layer **layers, int layers_n) : Layer(net) {
this->layers[i] = layers[i];
}
this->layers_n = layers_n;
this->groups = groups;
this->group_id = group_id;
//get dims
output_dim.l = 1;
@@ -32,6 +34,7 @@ Route::Route(Network *net, Layer **layers, int layers_n) : Layer(net) {
output_dim.c += layers[i]->output_dim.c;
}
output_dim.c /= this->groups;
input_dim = output_dim;
checkCuda( cudaMalloc(&dstData, output_dim.tot()*sizeof(dnnType)) );
@@ -49,8 +52,9 @@ dnnType* Route::infer(dataDim_t &dim, dnnType* srcData) {
for(int i=0; i<layers_n; i++) {
dnnType *input = layers[i]->dstData;
int in_dim = layers[i]->output_dim.tot();
checkCuda( cudaMemcpy(dstData + offset, input, in_dim*sizeof(dnnType), cudaMemcpyDeviceToDevice));
offset += in_dim;
int part_in_dim = in_dim / this->groups;
checkCuda( cudaMemcpy(dstData + offset, input + this->group_id*part_in_dim, part_in_dim*sizeof(dnnType), cudaMemcpyDeviceToDevice));
offset += part_in_dim;
}
//update data dimensions