75 lines
2.6 KiB
C++
75 lines
2.6 KiB
C++
/*
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* Created by Marcos Luciano
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* https://www.github.com/marcoslucianops
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*/
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#include "route_layer.h"
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nvinfer1::ITensor*
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routeLayer(int layerIdx, std::string& layers, std::map<std::string, std::string>& block,
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std::vector<nvinfer1::ITensor*> tensorOutputs, nvinfer1::INetworkDefinition* network)
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{
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nvinfer1::ITensor* output;
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assert(block.at("type") == "route");
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assert(block.find("layers") != block.end());
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std::string strLayers = block.at("layers");
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std::vector<int> idxLayers;
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size_t lastPos = 0, pos = 0;
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while ((pos = strLayers.find(',', lastPos)) != std::string::npos) {
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int vL = std::stoi(trim(strLayers.substr(lastPos, pos - lastPos)));
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idxLayers.push_back(vL);
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lastPos = pos + 1;
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}
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if (lastPos < strLayers.length()) {
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std::string lastV = trim(strLayers.substr(lastPos));
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if (!lastV.empty())
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idxLayers.push_back(std::stoi(lastV));
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}
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assert (!idxLayers.empty());
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std::vector<nvinfer1::ITensor*> concatInputs;
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for (uint i = 0; i < idxLayers.size(); ++i) {
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if (idxLayers[i] < 0)
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idxLayers[i] = tensorOutputs.size() + idxLayers[i];
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assert (idxLayers[i] >= 0 && idxLayers[i] < (int)tensorOutputs.size());
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concatInputs.push_back(tensorOutputs[idxLayers[i]]);
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if (i < idxLayers.size() - 1)
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layers += std::to_string(idxLayers[i]) + ", ";
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}
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layers += std::to_string(idxLayers[idxLayers.size() - 1]);
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if (concatInputs.size() == 1)
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output = concatInputs[0];
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else {
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int axis = 0;
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if (block.find("axis") != block.end())
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axis = std::stoi(block.at("axis"));
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if (axis < 0)
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axis = concatInputs[0]->getDimensions().nbDims + axis;
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nvinfer1::IConcatenationLayer* concat = network->addConcatenation(concatInputs.data(), concatInputs.size());
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assert(concat != nullptr);
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std::string concatLayerName = "route_" + std::to_string(layerIdx);
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concat->setName(concatLayerName.c_str());
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concat->setAxis(axis);
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output = concat->getOutput(0);
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}
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if (block.find("groups") != block.end()) {
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nvinfer1::Dims prevTensorDims = output->getDimensions();
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int groups = stoi(block.at("groups"));
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int group_id = stoi(block.at("group_id"));
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int startSlice = (prevTensorDims.d[0] / groups) * group_id;
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int channelSlice = (prevTensorDims.d[0] / groups);
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nvinfer1::ISliceLayer* slice = network->addSlice(*output, nvinfer1::Dims{3, {startSlice, 0, 0}},
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nvinfer1::Dims{3, {channelSlice, prevTensorDims.d[1], prevTensorDims.d[2]}}, nvinfer1::Dims{3, {1, 1, 1}});
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assert(slice != nullptr);
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std::string sliceLayerName = "slice_" + std::to_string(layerIdx);
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slice->setName(sliceLayerName.c_str());
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output = slice->getOutput(0);
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}
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return output;
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}
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