CenterNet TensorRT works. TensorRT serialization not yet implemented
Signed-oof-by: Davide Sapienza <sapienza.dav@gmail.com>
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@@ -32,7 +32,7 @@ enum layerType_t {
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class Layer {
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public:
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Layer(Network *net);
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Layer(Network *net, bool final = false);
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virtual ~Layer();
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virtual layerType_t getLayerType() = 0;
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@@ -43,6 +43,7 @@ public:
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dataDim_t input_dim, output_dim;
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dnnType *dstData; //where results will be putted
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bool final; //if the layer is the final one
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std::string getLayerName() {
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layerType_t type = getLayerType();
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@@ -80,7 +81,7 @@ class LayerWgs : public Layer {
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public:
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LayerWgs(Network *net, int inputs, int outputs, int kh, int kw, int kt,
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std::string fname_weights, bool batchnorm = false, bool additional_bias = false);
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std::string fname_weights, bool batchnorm = false, bool additional_bias = false, bool final = false);
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virtual ~LayerWgs();
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int inputs, outputs;
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@@ -160,7 +161,7 @@ class Conv2d : public LayerWgs {
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public:
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Conv2d( Network *net, int out_ch, int kernelH, int kernelW,
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int strideH, int strideW, int paddingH, int paddingW,
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std::string fname_weights, bool batchnorm = false, bool deConv = false);
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std::string fname_weights, bool batchnorm = false, bool deConv = false, bool final = false);
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virtual ~Conv2d();
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virtual layerType_t getLayerType() { return LAYER_CONV2D; };
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@@ -217,15 +218,15 @@ public:
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int out_ch;
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int deformableGroup;
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int kernelH, kernelW, strideH, strideW, paddingH, paddingW;
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protected:
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dnnType *ones_d1;
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dnnType *ones_d2;
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cudnnTensorDescriptor_t biasTensorDesc;
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int chunk_dim;
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dnnType *offset, *mask;
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dnnType *output_conv;
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protected:
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cudnnTensorDescriptor_t biasTensorDesc;
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void initCUDNN();
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};
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