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207 lines
7.0 KiB
207 lines
7.0 KiB
// This file is part of OpenCV project. |
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// It is subject to the license terms in the LICENSE file found in the top-level directory |
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// of this distribution and at http://opencv.org/license.html. |
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// Copyright (C) 2020, Intel Corporation, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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#include "precomp.hpp" |
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#include "graph_simplifier.hpp" |
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#include <queue> |
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namespace cv { namespace dnn { |
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Subgraph::~Subgraph() {} |
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int Subgraph::addNodeToMatch(const std::string& op, int input_0, int input_1, |
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int input_2, int input_3) |
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{ |
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int nodeInputs[] = {input_0, input_1, input_2, input_3}; |
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int numInputs = 0; |
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for (int i = 0; i < 4; ++i) |
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{ |
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numInputs += (int)(nodeInputs[i] != -1); |
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} |
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return addNodeToMatch(op, std::vector<int>(&nodeInputs[0], &nodeInputs[0] + numInputs)); |
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} |
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int Subgraph::addNodeToMatch(const std::string& op, const std::vector<int>& inputs_) |
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{ |
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for (int i = 0; i < inputs_.size(); ++i) |
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{ |
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CV_Assert(inputs_[i] < (int)nodes.size()); |
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} |
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nodes.push_back(op); |
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inputs.push_back(inputs_); |
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return nodes.size() - 1; |
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} |
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void Subgraph::setFusedNode(const std::string& op, int input_0, int input_1, |
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int input_2, int input_3, int input_4, int input_5) |
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{ |
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int nodeInputs[] = {input_0, input_1, input_2, input_3, input_4, input_5}; |
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int numInputs = 0; |
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for (int i = 0; i < 6; ++i) |
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{ |
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CV_Assert(nodeInputs[i] < (int)nodes.size()); |
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numInputs += (int)(nodeInputs[i] != -1); |
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} |
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setFusedNode(op, std::vector<int>(&nodeInputs[0], &nodeInputs[0] + numInputs)); |
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} |
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void Subgraph::setFusedNode(const std::string& op, const std::vector<int>& inputs_) |
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{ |
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fusedNodeInputs = inputs_; |
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fusedNodeOp = op; |
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} |
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int Subgraph::getInputNodeId(const Ptr<ImportGraphWrapper>& net, |
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const Ptr<ImportNodeWrapper>& node, |
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int inpId) |
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{ |
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CV_Assert(inpId < node->getNumInputs()); |
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std::string name = node->getInputName(inpId); |
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const int numNodes = net->getNumNodes(); |
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for (int i = 0; i < numNodes; ++i) |
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{ |
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const int numOutputs = net->getNumOutputs(i); |
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for (int j = 0; j < numOutputs; j++) |
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{ |
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if (net->getOutputName(i, j) == name) |
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return i; |
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} |
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} |
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CV_Error(Error::StsParseError, "Input node with name " + name + " not found"); |
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} |
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bool Subgraph::match(const Ptr<ImportGraphWrapper>& net, int nodeId, |
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std::vector<int>& matchedNodesIds, |
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std::vector<int>& targetNodesIds) |
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{ |
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matchedNodesIds.clear(); |
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targetNodesIds.clear(); |
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std::queue<int> nodesToMatch; |
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std::queue<int> targetNodes; |
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nodesToMatch.push(nodeId); |
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targetNodes.push(nodes.size() - 1); |
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while (!nodesToMatch.empty()) |
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{ |
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int nodeToMatch = nodesToMatch.front(); |
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int targetNodeId = targetNodes.front(); |
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nodesToMatch.pop(); |
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targetNodes.pop(); |
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if (std::find(matchedNodesIds.begin(), matchedNodesIds.end(), nodeToMatch) != |
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matchedNodesIds.end()) |
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continue; |
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const Ptr<ImportNodeWrapper> node = net->getNode(nodeToMatch); |
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if (node->getType() != nodes[targetNodeId]) |
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return false; |
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std::vector<int>& inputNodes = inputs[targetNodeId]; |
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if (inputNodes.size() != node->getNumInputs()) |
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return false; |
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for (int j = 0; j < inputNodes.size(); ++j) |
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{ |
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if (nodes[inputNodes[j]].empty() || node->getInputName(j).empty()) // Unknown input node type. |
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continue; |
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nodeId = getInputNodeId(net, node, j); |
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const Ptr<ImportNodeWrapper> inpNode = net->getNode(nodeId); |
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if (inpNode->getType() != "Const" && inpNode->getType() != "Constant") |
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{ |
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nodesToMatch.push(nodeId); |
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targetNodes.push(inputNodes[j]); |
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} |
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else if (nodes[inputNodes[j]] != "Const" && nodes[inputNodes[j]] != "Constant") |
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return false; |
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} |
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matchedNodesIds.push_back(nodeToMatch); |
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targetNodesIds.push_back(targetNodeId); |
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} |
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const int n = matchedNodesIds.size(); |
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std::vector<std::pair<int, int> > elements(n); |
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for (int i = 0; i < n; ++i) |
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elements[i] = std::make_pair(matchedNodesIds[i], targetNodesIds[i]); |
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std::sort(elements.begin(), elements.end()); |
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for (int i = 0; i < n; ++i) |
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{ |
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matchedNodesIds[i] = elements[i].first; |
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targetNodesIds[i] = elements[i].second; |
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} |
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return true; |
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} |
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void Subgraph::replace(const Ptr<ImportGraphWrapper>& net, const std::vector<int>& matchedNodesIds, |
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const std::vector<int>& targetNodesIds) |
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{ |
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// Extract names of input nodes. |
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std::vector<std::string> inputsNames(fusedNodeInputs.size()); |
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for (int i = 0; i < fusedNodeInputs.size(); ++i) |
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{ |
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std::string inpName; |
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// Find input node name looking at inputs of fused nodes. |
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for (int j = 0; j < matchedNodesIds.size() && inpName.empty(); ++j) |
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{ |
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Ptr<ImportNodeWrapper> node = net->getNode(matchedNodesIds[j]); |
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std::vector<int>& inpIndices = inputs[targetNodesIds[j]]; |
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CV_Assert(node->getNumInputs() == inpIndices.size()); |
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for (int k = 0; k < inpIndices.size(); ++k) |
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{ |
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if (inpIndices[k] == fusedNodeInputs[i]) |
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{ |
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inpName = node->getInputName(k); |
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break; |
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} |
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} |
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} |
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CV_Assert(!inpName.empty()); |
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inputsNames[i] = inpName; |
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} |
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// Remove matched nodes except the last one. Indices in ascending order are expected. |
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Ptr<ImportNodeWrapper> node = net->getNode(matchedNodesIds.back()); |
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for (int i = matchedNodesIds.size() - 2; i >= 0; --i) |
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net->removeNode(matchedNodesIds[i]); |
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// Modify the last node to be a fused one. |
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node->setType(fusedNodeOp); |
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node->setInputNames(inputsNames); |
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std::vector<Ptr<ImportNodeWrapper> > inputNodes(inputsNames.size()); |
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for (int i = 0; i < inputsNames.size(); ++i) |
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{ |
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inputNodes[i] = net->getNode(getInputNodeId(net, node, i)); |
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} |
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finalize(net, node, inputNodes); |
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} |
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void Subgraph::finalize(const Ptr<ImportGraphWrapper>& net, |
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const Ptr<ImportNodeWrapper>& fusedNode, |
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std::vector<Ptr<ImportNodeWrapper> >& inputs) {} |
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void simplifySubgraphs(const Ptr<ImportGraphWrapper>& net, |
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const std::vector<Ptr<Subgraph> >& patterns) |
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{ |
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int numNodes = net->getNumNodes(); |
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std::vector<int> matchedNodesIds, targetNodesIds; |
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for (int j = 0; j < patterns.size(); ++j) |
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{ |
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for (int i = 0; i < numNodes; ++i) |
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{ |
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if (patterns[j]->match(net, i, matchedNodesIds, targetNodesIds)) |
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{ |
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patterns[j]->replace(net, matchedNodesIds, targetNodesIds); |
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numNodes -= matchedNodesIds.size() - 1; // #matchedNodes removed and one added. |
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} |
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} |
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} |
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} |
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}} // namespace cv::dnn
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