tiny yolo not working
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+3
-2
@@ -32,9 +32,10 @@ Network::~Network() {
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value_type* Network::infer(dataDim_t &dim, value_type* data) {
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//do infer for every layer
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for(int i=0; i<num_layers; i++)
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for(int i=0; i<num_layers; i++) {
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data = layers[i]->infer(dim, data);
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//dim.print();
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}
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checkCuda(cudaDeviceSynchronize());
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return data;
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}
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+5
-1
@@ -45,7 +45,11 @@ NetworkRT::NetworkRT(Network *net) {
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}
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if(input == NULL)
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FatalError("conversion failed");
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output_dim = net->layers[net->num_layers-1]->output_dim;
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output_dim = dim;
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Dims oDim = input->getDimensions();
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output_dim.c = oDim.d[0];
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output_dim.h = oDim.d[1];
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output_dim.w = oDim.d[2];
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//build tensorRT
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input->setName("out");
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+9
-10
@@ -5,20 +5,18 @@
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namespace tkDNN {
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Pooling::Pooling( Network *net, int winH, int winW,
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int strideH, int strideW, tkdnnPoolingMode_t pool_mode) :
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Pooling::Pooling( Network *net, int winH, int winW, int strideH, int strideW,
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tkdnnPoolingMode_t pool_mode) :
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Layer(net) {
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if(winH != strideH || winW != strideW)
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FatalError("stride pooling not yet implemented");
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this->winH = winH;
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this->winW = winW;
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this->strideH = strideH;
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this->strideW = strideW;
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this->pool_mode = pool_mode;
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this->paddingH = 0;
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this->paddingW = 0;
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checkCUDNN( cudnnCreatePoolingDescriptor(&poolingDesc) );
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int n = input_dim.n;
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@@ -46,12 +44,13 @@ Pooling::Pooling( Network *net, int winH, int winW,
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net->tensorFormat, net->dataType, n, c, h, w) );
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//get out dim
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h = h / winH; w = w / winW;
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checkCUDNN( cudnnGetPooling2dForwardOutputDim(poolingDesc, srcTensorDesc, &n, &c, &h, &w));
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//h = (h + winH*this->paddingH)/strideH;
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//w = (w + winW*this->paddingW)/strideW;
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checkCUDNN( cudnnSetTensor4dDescriptor(dstTensorDesc,
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net->tensorFormat, net->dataType, n, c, h, w) );
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output_dim.n = n;
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output_dim.c = c;
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output_dim.h = h;
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