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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
// Copyright (C) 2020, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
#include "precomp.hpp"
#include "graph_simplifier.hpp"
#include <queue>
namespace cv { namespace dnn {
Subgraph::~Subgraph() {}
int Subgraph::addNodeToMatch(const std::string& op, int input_0, int input_1,
int input_2, int input_3)
{
int nodeInputs[] = {input_0, input_1, input_2, input_3};
int numInputs = 0;
for (int i = 0; i < 4; ++i)
{
numInputs += (int)(nodeInputs[i] != -1);
}
return addNodeToMatch(op, std::vector<int>(&nodeInputs[0], &nodeInputs[0] + numInputs));
}
int Subgraph::addNodeToMatch(const std::string& op, const std::vector<int>& inputs_)
{
for (int i = 0; i < inputs_.size(); ++i)
{
CV_Assert(inputs_[i] < (int)nodes.size());
}
nodes.push_back(op);
inputs.push_back(inputs_);
return nodes.size() - 1;
}
void Subgraph::setFusedNode(const std::string& op, int input_0, int input_1,
int input_2, int input_3, int input_4, int input_5)
{
int nodeInputs[] = {input_0, input_1, input_2, input_3, input_4, input_5};
int numInputs = 0;
for (int i = 0; i < 6; ++i)
{
CV_Assert(nodeInputs[i] < (int)nodes.size());
numInputs += (int)(nodeInputs[i] != -1);
}
setFusedNode(op, std::vector<int>(&nodeInputs[0], &nodeInputs[0] + numInputs));
}
void Subgraph::setFusedNode(const std::string& op, const std::vector<int>& inputs_)
{
fusedNodeInputs = inputs_;
fusedNodeOp = op;
}
int Subgraph::getInputNodeId(const Ptr<ImportGraphWrapper>& net,
const Ptr<ImportNodeWrapper>& node,
int inpId)
{
CV_Assert(inpId < node->getNumInputs());
std::string name = node->getInputName(inpId);
const int numNodes = net->getNumNodes();
for (int i = 0; i < numNodes; ++i)
{
const int numOutputs = net->getNumOutputs(i);
for (int j = 0; j < numOutputs; j++)
{
if (net->getOutputName(i, j) == name)
return i;
}
}
CV_Error(Error::StsParseError, "Input node with name " + name + " not found");
}
bool Subgraph::match(const Ptr<ImportGraphWrapper>& net, int nodeId,
std::vector<int>& matchedNodesIds)
{
matchedNodesIds.clear();
// Collection of all matchings states across branching.
// If there is no commutative ops in the subgraph - there would be just a single map.
std::vector<std::shared_ptr<std::map<int, int>>> matchCandidates;
matchCandidates.push_back(makePtr<std::map<int, int>>());
struct State
{
int nodeToMatch;
int targetNodeId;
// Every state refers to current matchings pairs as well as
// matchings from parent branches produced by commutative ops.
std::vector<std::shared_ptr<std::map<int, int>>> matchings;
// When we register a matching pair we should register it in every parent branch.
// This is actual for branching in case of commutative ops only.
void addMatch(std::pair<int, int> match)
{
for (auto& m : matchings)
m->insert(match);
}
};
std::queue<State> states;
states.push({nodeId, (int)nodes.size() - 1, matchCandidates});
while (!states.empty())
{
auto state = states.front();
states.pop();
int nodeToMatch = state.nodeToMatch;
int targetNodeId = state.targetNodeId;
auto matchings = state.matchings.back();
if (matchings->find(targetNodeId) != matchings->end())
continue;
// Empty placeholder matches with any input type
if (nodes[targetNodeId].empty()) {
state.addMatch({targetNodeId, nodeToMatch});
continue;
}
const Ptr<ImportNodeWrapper> node = net->getNode(nodeToMatch);
if (node->getType() != nodes[targetNodeId])
continue;
std::vector<int>& inputNodes = inputs[targetNodeId];
if (inputNodes.size() != node->getNumInputs())
continue;
state.addMatch({targetNodeId, nodeToMatch});
bool isCommutative = net->isCommutativeOp(node->getType());
if (isCommutative)
{
if (inputNodes.size() != 2)
CV_Error(Error::StsNotImplemented, "Commutative op fusion with more than 2 inputs");
auto newMatchings = makePtr<std::map<int, int>>(*matchings);
matchCandidates.push_back(newMatchings);
state.matchings.push_back(newMatchings);
states.push({getInputNodeId(net, node, 0), inputNodes[0], state.matchings});
states.push({getInputNodeId(net, node, 1), inputNodes[1], state.matchings});
state.matchings.pop_back();
newMatchings = makePtr<std::map<int, int>>(*matchings);
matchCandidates.push_back(newMatchings);
state.matchings.push_back(newMatchings);
states.push({getInputNodeId(net, node, 0), inputNodes[1], state.matchings});
states.push({getInputNodeId(net, node, 1), inputNodes[0], state.matchings});
state.matchings.pop_back();
}
else
{
for (int j = 0; j < inputNodes.size(); ++j)
{
nodeId = getInputNodeId(net, node, j);
states.push({nodeId, inputNodes[j], state.matchings});
}
}
}
for (auto& matchings : matchCandidates)
{
if (matchings->size() != nodes.size())
continue;
matchedNodesIds.resize(matchings->size());
for (int i = 0; i < matchings->size(); ++i)
{
CV_Assert(matchings->find(i) != matchings->end());
matchedNodesIds[i] = matchings->at(i);
}
return true;
}
return false;
}
void Subgraph::replace(const Ptr<ImportGraphWrapper>& net, const std::vector<int>& matchedNodesIds)
{
// Extract names of input nodes.
std::vector<std::string> inputsNames(fusedNodeInputs.size());
for (int i = 0; i < fusedNodeInputs.size(); ++i)
{
std::string inpName;
// Find input node name looking at inputs of fused nodes.
for (int j = 0; j < matchedNodesIds.size() && inpName.empty(); ++j)
{
Ptr<ImportNodeWrapper> node = net->getNode(matchedNodesIds[j]);
std::vector<int>& inpIndices = inputs[j];
CV_Assert(inpIndices.empty() || node->getNumInputs() == inpIndices.size());
for (int k = 0; k < inpIndices.size(); ++k)
{
if (inpIndices[k] == fusedNodeInputs[i])
{
inpName = node->getInputName(k);
break;
}
}
}
CV_Assert(!inpName.empty());
inputsNames[i] = inpName;
}
Ptr<ImportNodeWrapper> node = net->getNode(matchedNodesIds.back());
// Modify the last node to be a fused one.
node->setType(fusedNodeOp);
node->setInputNames(inputsNames);
std::vector<Ptr<ImportNodeWrapper> > inputNodes(inputsNames.size());
for (int i = 0; i < inputsNames.size(); ++i)
{
inputNodes[i] = net->getNode(getInputNodeId(net, node, i));
}
finalize(net, node, inputNodes);
}
void Subgraph::finalize(const Ptr<ImportGraphWrapper>& net,
const Ptr<ImportNodeWrapper>& fusedNode,
std::vector<Ptr<ImportNodeWrapper> >& inputs) {}
void simplifySubgraphs(const Ptr<ImportGraphWrapper>& net,
const std::vector<Ptr<Subgraph> >& patterns)
{
int numNodes = net->getNumNodes();
std::vector<int> matchedNodesIds;
std::vector<int> nodesToRemove;
for (int j = 0; j < patterns.size(); ++j)
{
for (int i = 0; i < numNodes; ++i)
{
if (patterns[j]->match(net, i, matchedNodesIds))
{
patterns[j]->replace(net, matchedNodesIds);
// Remove matched nodes except the last one.
nodesToRemove.insert(nodesToRemove.end(), matchedNodesIds.begin(), matchedNodesIds.end() - 1);
}
}
}
if (nodesToRemove.empty())
return;
// Collect reference counts for every node
std::vector<int> refcounts(net->getNumNodes(), 0);
std::map<std::string, int> nodeIds;
// Register node outputs.
// Every usage of one of the node's outputs should be counted.
for (int nodeId = 0; nodeId < refcounts.size(); ++nodeId) {
for (int i = 0; i < net->getNumOutputs(nodeId); ++i) {
std::string name = net->getOutputName(nodeId, i);
nodeIds[name] = nodeId;
}
}
for (int nodeId = 0; nodeId < refcounts.size(); ++nodeId) {
// Increase counters for node's inputs
auto node = net->getNode(nodeId);
for (int i = 0; i < node->getNumInputs(); ++i) {
std::string inpName = node->getInputName(i);
if (inpName.empty())
continue;
CV_Assert(nodeIds.find(inpName) != nodeIds.end());
refcounts[nodeIds[inpName]] += 1;
}
}
// Remove all fused nodes. Indices expected to be in descending order.
std::sort(nodesToRemove.begin(), nodesToRemove.end(), [](int a, int b) { return a > b; });
for (int nodeId : nodesToRemove) {
if (refcounts[nodeId] == 0) {
// Decrease references to node's inputs and remove node itself
auto node = net->getNode(nodeId);
for (int i = 0; i < node->getNumInputs(); ++i) {
std::string inpName = node->getInputName(i);
refcounts[nodeIds[inpName]] -= 1;
}
net->removeNode(nodeId);
refcounts[nodeId] = -1; // Same node cannot be removed twice
}
}
}
}} // namespace cv::dnn
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