Removed previous commits

2020-12-20 13:39:54 -03:00
commit c34158664c
35 changed files with 3441 additions and 0 deletions
--- a/native/nvdsinfer_custom_impl_Yolo/layers/upsample_layer.cpp
+++ b/native/nvdsinfer_custom_impl_Yolo/layers/upsample_layer.cpp
@@ -0,0 +1,86 @@
+/*
+ * Created by Marcos Luciano
+ * https://www.github.com/marcoslucianops
+ */
+
+#include "upsample_layer.h"
+
+nvinfer1::ILayer* upsampleLayer(
+    int layerIdx,
+    std::map<std::string, std::string>& block,
+    std::vector<float>& weights,
+    std::vector<nvinfer1::Weights>& trtWeights,
+    int& inputChannels,
+    nvinfer1::ITensor* input,
+    nvinfer1::INetworkDefinition* network)
+{
+    assert(block.at("type") == "upsample");
+    nvinfer1::Dims inpDims = input->getDimensions();
+    assert(inpDims.nbDims == 3);
+    assert(inpDims.d[1] == inpDims.d[2]);
+    int h = inpDims.d[1];
+    int w = inpDims.d[2];
+    int stride = std::stoi(block.at("stride"));
+
+    nvinfer1::Dims preDims{3,
+                           {1, stride * h, w},
+                           {nvinfer1::DimensionType::kCHANNEL, nvinfer1::DimensionType::kSPATIAL,
+                            nvinfer1::DimensionType::kSPATIAL}};
+    int size = stride * h * w;
+    nvinfer1::Weights preMul{nvinfer1::DataType::kFLOAT, nullptr, size};
+    float* preWt = new float[size];
+
+    for (int i = 0, idx = 0; i < h; ++i)
+    {
+        for (int s = 0; s < stride; ++s)
+        {
+            for (int j = 0; j < w; ++j, ++idx)
+            {
+                preWt[idx] = (i == j) ? 1.0 : 0.0;
+            }
+        }
+    }
+    preMul.values = preWt;
+    trtWeights.push_back(preMul);
+    nvinfer1::IConstantLayer* preM = network->addConstant(preDims, preMul);
+    assert(preM != nullptr);
+    std::string preLayerName = "preMul_" + std::to_string(layerIdx);
+    preM->setName(preLayerName.c_str());
+
+    nvinfer1::Dims postDims{3,
+                            {1, h, stride * w},
+                            {nvinfer1::DimensionType::kCHANNEL, nvinfer1::DimensionType::kSPATIAL,
+                             nvinfer1::DimensionType::kSPATIAL}};
+    size = stride * h * w;
+    nvinfer1::Weights postMul{nvinfer1::DataType::kFLOAT, nullptr, size};
+    float* postWt = new float[size];
+
+    for (int i = 0, idx = 0; i < h; ++i)
+    {
+        for (int j = 0; j < stride * w; ++j, ++idx)
+        {
+            postWt[idx] = (j / stride == i) ? 1.0 : 0.0;
+        }
+    }
+    postMul.values = postWt;
+    trtWeights.push_back(postMul);
+    nvinfer1::IConstantLayer* post_m = network->addConstant(postDims, postMul);
+    assert(post_m != nullptr);
+    std::string postLayerName = "postMul_" + std::to_string(layerIdx);
+    post_m->setName(postLayerName.c_str());
+
+    nvinfer1::IMatrixMultiplyLayer* mm1
+        = network->addMatrixMultiply(*preM->getOutput(0), nvinfer1::MatrixOperation::kNONE, *input,
+                                     nvinfer1::MatrixOperation::kNONE);
+    assert(mm1 != nullptr);
+    std::string mm1LayerName = "mm1_" + std::to_string(layerIdx);
+    mm1->setName(mm1LayerName.c_str());
+    nvinfer1::IMatrixMultiplyLayer* mm2
+        = network->addMatrixMultiply(*mm1->getOutput(0), nvinfer1::MatrixOperation::kNONE,
+                                     *post_m->getOutput(0), nvinfer1::MatrixOperation::kNONE);
+    assert(mm2 != nullptr);
+    std::string mm2LayerName = "mm2_" + std::to_string(layerIdx);
+    mm2->setName(mm2LayerName.c_str());
+
+    return mm2;
+}