Merge branch 'master' of https://gitlab.onelab.info/cm3/cm3Libraries

NonLinearSolver/modelReduction/Tree.cpp

@@ -310,8 +310,16 @@ void Tree::createRandomTreeSameDepthForNodes(int nbLeaves, int numChildMax, int
           }
         }
         else
+        {
+          if (numChilds+remaining < 4)
           {
             outPut.push_back(numChilds+remaining);
+          }
+          else
+          {
+            outPut.push_back(2);
+            outPut.push_back(numChilds+remaining-2);
+          }
           iter += numChilds+remaining;
         }
       };

cm3apps/install.txt

@@ -519,16 +519,14 @@ D) Install Torch
            4) install cudnn 
            download cudnn from nvidia (you need to register and downloadmanualy
            https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.0.4/11.0_20200923/cudnn-11.0-linux-x64-v8.0.4.30.tgz
-
-
-
-
-A
-A
-
-        sudo apt-get install nvidia-cuda-toolkit
-        //check version nvcc --version
+           copy in your local directory
+           tar xvf cudnn-11.0-linux-x64-v8.0.4.30.tgz
+           sudo cp cuda/include/cudnn*.h /usr/local/cuda/include
+           sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
+           sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn*
+           5) download torch with gpu
            wget https://download.pytorch.org/libtorch/cu110/libtorch-shared-with-deps-1.7.0%2Bcu110.zip
+           unzip libtorch-shared-with-deps-1.7.0%2Bcu110.zip
 
 
         add export TORCHDIR=$HOME/local/libtorch in your .bashrc