From 84d30e81f7370ee3a235b043c88d00f2c6cbebd4 Mon Sep 17 00:00:00 2001
From: Van Dung NGUYEN <vdg.nguyen@gmail.com>
Date: Fri, 3 Feb 2023 23:36:36 +0100
Subject: [PATCH] get bounds of fitting parameters
---
NonLinearSolver/modelReduction/Optimizer.h | 5 ++
.../TrainingArbitraryDeepMaterialNetworks.cpp | 10 ++-
.../TrainingArbitraryDeepMaterialNetworks.h | 2 +
.../TrainingDeepMaterialNetworks.cpp | 79 ++++++++++++++++++-
.../TrainingDeepMaterialNetworks.h | 2 +
.../TrainingDeepMaterialNetworksNonLinear.cpp | 7 ++
.../TrainingDeepMaterialNetworksNonLinear.h | 2 +
7 files changed, 105 insertions(+), 2 deletions(-)
diff --git a/NonLinearSolver/modelReduction/Optimizer.h b/NonLinearSolver/modelReduction/Optimizer.h
index e36297d57..d3db3e9fd 100644
--- a/NonLinearSolver/modelReduction/Optimizer.h
+++ b/NonLinearSolver/modelReduction/Optimizer.h
@@ -53,6 +53,11 @@ class LossFunction
*/
virtual void initializeFittingParameters(fullVector<double>& W) = 0;
+ /*! @param[out] WLower lower bound of the fitting parameters
+ * @param[out] WUpper upper bound of the fitting parameters
+ */
+ virtual void getUnknownBounds(fullVector<double>& WLower, fullVector<double>& WUpper) const = 0;
+
/*! \brief update the model with the new fitting parameter
@param[in] W the fitting parameters
*/
diff --git a/NonLinearSolver/modelReduction/TrainingArbitraryDeepMaterialNetworks.cpp b/NonLinearSolver/modelReduction/TrainingArbitraryDeepMaterialNetworks.cpp
index 89bff9c5e..0cf2d4d7a 100644
--- a/NonLinearSolver/modelReduction/TrainingArbitraryDeepMaterialNetworks.cpp
+++ b/NonLinearSolver/modelReduction/TrainingArbitraryDeepMaterialNetworks.cpp
@@ -870,7 +870,15 @@ void TrainingDeepMaterialNetworkLinearElastic::saveModel(const std::string fname
void TrainingDeepMaterialNetworkLinearElastic::initializeFittingParameters(fullVector<double>& W)
{
numberDofs(W);
-}
+};
+
+// get bounds of fitting parmaters
+void TrainingDeepMaterialNetworkLinearElastic::getUnknownBounds(fullVector<double>& WLower, fullVector<double>& WUpper) const
+{
+ Msg::Error("TrainingDeepMaterialNetworkLinearElastic::getUnknownBounds has not been implemeneted");
+ Msg::Exit(1);
+};
+
// update the model with the new fitting parameter
void TrainingDeepMaterialNetworkLinearElastic::updateModelFromFittingParameters(const fullVector<double>& W)
{
diff --git a/NonLinearSolver/modelReduction/TrainingArbitraryDeepMaterialNetworks.h b/NonLinearSolver/modelReduction/TrainingArbitraryDeepMaterialNetworks.h
index d5373ff21..6b031e0bd 100644
--- a/NonLinearSolver/modelReduction/TrainingArbitraryDeepMaterialNetworks.h
+++ b/NonLinearSolver/modelReduction/TrainingArbitraryDeepMaterialNetworks.h
@@ -106,6 +106,8 @@ class TrainingDeepMaterialNetworkLinearElastic : public TrainingArbitraryDeepMat
virtual void saveModel(const std::string fname) const;
// start numbering fitting parameters
virtual void initializeFittingParameters(fullVector<double>& W);
+ // get bounds of fitting parmaters
+ virtual void getUnknownBounds(fullVector<double>& WLower, fullVector<double>& WUpper) const;
// update the model with the new fitting parameter
virtual void updateModelFromFittingParameters(const fullVector<double>& W);
// in case of fails
diff --git a/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworks.cpp b/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworks.cpp
index 3c963eec9..9f010a115 100644
--- a/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworks.cpp
+++ b/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworks.cpp
@@ -4028,7 +4028,84 @@ void TrainingDeepMaterialNetwork::saveModel(const std::string fname) const
void TrainingDeepMaterialNetwork::initializeFittingParameters(fullVector<double>& W)
{
numberDofs(W);
-}
+};
+
+void TrainingDeepMaterialNetwork::getUnknownBounds(fullVector<double>& WLower, fullVector<double>& WUpper) const
+{
+ // Dof of all nodes
+ Tree::nodeContainer allNodes;
+ _T->getAllNodes(allNodes);
+
+ // initialize data from tree
+ //
+ int sizeOfR = _unknown.size();
+ WLower.resize(sizeOfR,true);
+ WUpper.resize(sizeOfR,true);
+ //
+ for (int i=0; i< allNodes.size(); i++)
+ {
+ const TreeNode& node = *(allNodes[i]);
+ std::vector<Dof> R;
+ getKeys(&node,R);
+ int Rsize = R.size();
+ if (node.childs.size() ==0)
+ {
+ int numCoh = 0;
+ int numCohDirVars = 0;
+ if (node.withCohesive())
+ {
+ numCoh = node.cohesiveCoeffVars.size();
+ numCohDirVars = node.cohesiveDirectionVars.size2();
+ }
+ for (int j=0; j< Rsize; j++)
+ {
+ std::map<Dof,int>::const_iterator itR = _unknown.find(R[j]);
+ if (itR != _unknown.end())
+ {
+ if (j == 0)
+ {
+ // leaf
+ WLower(itR->second) = node.af->getReciprocalVal(0.001);
+ WUpper(itR->second) = node.af->getReciprocalVal(1);
+ }
+ else if ((j > 0) && (j< numCoh+1))
+ {
+ WLower(itR->second) = 0.1;
+ WUpper(itR->second) = 0.9;
+ }
+ else if ((j >= numCoh+1) && (j < numCoh*numCohDirVars+numCoh+1))
+ {
+ int index = j -(numCoh+1);
+ int k = index/numCohDirVars;
+ int l = index%numCohDirVars;
+ //Msg::Info("index = %d k=%d, l=%d",index,k,l);
+ WLower(itR->second) = 0;
+ WUpper(itR->second) = 1.;
+ }
+ else
+ {
+ Msg::Error("wrong position");
+ Msg::Exit(0);
+ }
+ };
+ }
+ }
+ else
+ {
+ for (int j=0; j< Rsize; j++)
+ {
+ std::map<Dof,int>::const_iterator itR = _unknown.find(R[j]);
+ if (itR != _unknown.end())
+ {
+ WLower(itR->second) = 0;
+ WUpper(itR->second) = 1.;
+ };
+ }
+ }
+ };
+};
+
+
// update the model with the new fitting parameter
void TrainingDeepMaterialNetwork::updateModelFromFittingParameters(const fullVector<double>& W)
{
diff --git a/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworks.h b/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworks.h
index 34a1849a0..8e5de7ed1 100644
--- a/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworks.h
+++ b/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworks.h
@@ -403,6 +403,8 @@ class TrainingDeepMaterialNetwork : public LossFunction
virtual void saveModel(const std::string fname) const;
// start numbering fitting parameters
virtual void initializeFittingParameters(fullVector<double>& W);
+ // get bounds of fitting paraeters
+ virtual void getUnknownBounds(fullVector<double>& WLower, fullVector<double>& WUpper) const;
// update the model with the new fitting parameter
virtual void updateModelFromFittingParameters(const fullVector<double>& W);
// in case of fails
diff --git a/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworksNonLinear.cpp b/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworksNonLinear.cpp
index 7d2752e00..6f2d9b106 100644
--- a/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworksNonLinear.cpp
+++ b/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworksNonLinear.cpp
@@ -1811,6 +1811,13 @@ void TrainingDeepMaterialNetworkNonLinear::initializeFittingParameters(fullVecto
{
numberDofs(W);
}
+
+// get bounds of fitting parmaters
+void TrainingDeepMaterialNetworkNonLinear::getUnknownBounds(fullVector<double>& WLower, fullVector<double>& WUpper) const
+{
+ Msg::Error("TrainingDeepMaterialNetworkNonLinear::getUnknownBounds has not been implemeneted");
+ Msg::Exit(1);
+};
// update the model with the new fitting parameter
void TrainingDeepMaterialNetworkNonLinear::updateModelFromFittingParameters(const fullVector<double>& W)
{
diff --git a/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworksNonLinear.h b/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworksNonLinear.h
index 5dbafa399..3bf011cd2 100644
--- a/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworksNonLinear.h
+++ b/NonLinearSolver/modelReduction/TrainingDeepMaterialNetworksNonLinear.h
@@ -208,6 +208,8 @@ class TrainingDeepMaterialNetworkNonLinear : public TrainingArbitraryDeepMateria
virtual void saveModel(const std::string fname) const;
// start numbering fitting parameters
virtual void initializeFittingParameters(fullVector<double>& W);
+ // get bounds of fitting paraeters
+ virtual void getUnknownBounds(fullVector<double>& WLower, fullVector<double>& WUpper) const;
// update the model with the new fitting parameter
virtual void updateModelFromFittingParameters(const fullVector<double>& W);
// in case of fails
--
GitLab