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diff --git a/runtimes/nn/depend/external/eigen/Eigen/src/Householder/BlockHouseholder.h b/runtimes/nn/depend/external/eigen/Eigen/src/Householder/BlockHouseholder.h
deleted file mode 100644
index 01a7ed188..000000000
--- a/runtimes/nn/depend/external/eigen/Eigen/src/Householder/BlockHouseholder.h
+++ /dev/null
@@ -1,103 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2010 Vincent Lejeune
-// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// This Source Code Form is subject to the terms of the Mozilla
-// Public License v. 2.0. If a copy of the MPL was not distributed
-// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
-#ifndef EIGEN_BLOCK_HOUSEHOLDER_H
-#define EIGEN_BLOCK_HOUSEHOLDER_H
-
-// This file contains some helper function to deal with block householder reflectors
-
-namespace Eigen { 
-
-namespace internal {
-  
-/** \internal */
-// template<typename TriangularFactorType,typename VectorsType,typename CoeffsType>
-// void make_block_householder_triangular_factor(TriangularFactorType& triFactor, const VectorsType& vectors, const CoeffsType& hCoeffs)
-// {
-//   typedef typename VectorsType::Scalar Scalar;
-//   const Index nbVecs = vectors.cols();
-//   eigen_assert(triFactor.rows() == nbVecs && triFactor.cols() == nbVecs && vectors.rows()>=nbVecs);
-// 
-//   for(Index i = 0; i < nbVecs; i++)
-//   {
-//     Index rs = vectors.rows() - i;
-//     // Warning, note that hCoeffs may alias with vectors.
-//     // It is then necessary to copy it before modifying vectors(i,i). 
-//     typename CoeffsType::Scalar h = hCoeffs(i);
-//     // This hack permits to pass trough nested Block<> and Transpose<> expressions.
-//     Scalar *Vii_ptr = const_cast<Scalar*>(vectors.data() + vectors.outerStride()*i + vectors.innerStride()*i);
-//     Scalar Vii = *Vii_ptr;
-//     *Vii_ptr = Scalar(1);
-//     triFactor.col(i).head(i).noalias() = -h * vectors.block(i, 0, rs, i).adjoint()
-//                                        * vectors.col(i).tail(rs);
-//     *Vii_ptr = Vii;
-//     // FIXME add .noalias() once the triangular product can work inplace
-//     triFactor.col(i).head(i) = triFactor.block(0,0,i,i).template triangularView<Upper>()
-//                              * triFactor.col(i).head(i);
-//     triFactor(i,i) = hCoeffs(i);
-//   }
-// }
-
-/** \internal */
-// This variant avoid modifications in vectors
-template<typename TriangularFactorType,typename VectorsType,typename CoeffsType>
-void make_block_householder_triangular_factor(TriangularFactorType& triFactor, const VectorsType& vectors, const CoeffsType& hCoeffs)
-{
-  const Index nbVecs = vectors.cols();
-  eigen_assert(triFactor.rows() == nbVecs && triFactor.cols() == nbVecs && vectors.rows()>=nbVecs);
-
-  for(Index i = nbVecs-1; i >=0 ; --i)
-  {
-    Index rs = vectors.rows() - i - 1;
-    Index rt = nbVecs-i-1;
-
-    if(rt>0)
-    {
-      triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
-                                                        * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
-            
-      // FIXME add .noalias() once the triangular product can work inplace
-      triFactor.row(i).tail(rt) = triFactor.row(i).tail(rt) * triFactor.bottomRightCorner(rt,rt).template triangularView<Upper>();
-      
-    }
-    triFactor(i,i) = hCoeffs(i);
-  }
-}
-
-/** \internal
-  * if forward then perform   mat = H0 * H1 * H2 * mat
-  * otherwise perform         mat = H2 * H1 * H0 * mat
-  */
-template<typename MatrixType,typename VectorsType,typename CoeffsType>
-void apply_block_householder_on_the_left(MatrixType& mat, const VectorsType& vectors, const CoeffsType& hCoeffs, bool forward)
-{
-  enum { TFactorSize = MatrixType::ColsAtCompileTime };
-  Index nbVecs = vectors.cols();
-  Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize, RowMajor> T(nbVecs,nbVecs);
-  
-  if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
-  else        make_block_householder_triangular_factor(T, vectors, hCoeffs.conjugate());  
-  const TriangularView<const VectorsType, UnitLower> V(vectors);
-
-  // A -= V T V^* A
-  Matrix<typename MatrixType::Scalar,VectorsType::ColsAtCompileTime,MatrixType::ColsAtCompileTime,
-         (VectorsType::MaxColsAtCompileTime==1 && MatrixType::MaxColsAtCompileTime!=1)?RowMajor:ColMajor,
-         VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
-  // FIXME add .noalias() once the triangular product can work inplace
-  if(forward) tmp = T.template triangularView<Upper>()           * tmp;
-  else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
-  mat.noalias() -= V * tmp;
-}
-
-} // end namespace internal
-
-} // end namespace Eigen
-
-#endif // EIGEN_BLOCK_HOUSEHOLDER_H