Remove deprecated code not used by evaluators

Eigen/Cholesky

@@ -21,7 +21,6 @@
   * \endcode
   */
 
-#include "src/misc/Solve.h"
 #include "src/Cholesky/LLT.h"
 #include "src/Cholesky/LDLT.h"
 #ifdef EIGEN_USE_LAPACKE

Eigen/CholmodSupport

@@ -33,12 +33,8 @@ extern "C" {
   *
   */
 
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
 #include "src/CholmodSupport/CholmodSupport.h"
 
-
 #include "src/Core/util/ReenableStupidWarnings.h"
 
 #endif // EIGEN_CHOLMODSUPPORT_MODULE_H

Eigen/Core

@@ -11,16 +11,6 @@
 #ifndef EIGEN_CORE_H
 #define EIGEN_CORE_H
 
-// EIGEN_TEST_EVALUATORS => EIGEN_ENABLE_EVALUATORS
-#ifndef EIGEN_TEST_NO_EVALUATORS
-  #ifndef EIGEN_TEST_EVALUATORS
-  #define EIGEN_TEST_EVALUATORS
-  #endif
-  #ifndef EIGEN_ENABLE_EVALUATORS
-  #define EIGEN_ENABLE_EVALUATORS
-  #endif
-#endif
-
 // first thing Eigen does: stop the compiler from committing suicide
 #include "src/Core/util/DisableStupidWarnings.h"
 
@@ -317,11 +307,9 @@ using std::ptrdiff_t;
 #include "src/Core/MatrixBase.h"
 #include "src/Core/EigenBase.h"
 
-#ifdef EIGEN_ENABLE_EVALUATORS
 #include "src/Core/Product.h"
 #include "src/Core/CoreEvaluators.h"
 #include "src/Core/AssignEvaluator.h"
-#endif
 
 #ifndef EIGEN_PARSED_BY_DOXYGEN // work around Doxygen bug triggered by Assign.h r814874
                                 // at least confirmed with Doxygen 1.5.5 and 1.5.6
@@ -332,10 +320,10 @@ using std::ptrdiff_t;
 #include "src/Core/util/BlasUtil.h"
 #include "src/Core/DenseStorage.h"
 #include "src/Core/NestByValue.h"
-#ifndef EIGEN_ENABLE_EVALUATORS
+
-#include "src/Core/ForceAlignedAccess.h"
+// #include "src/Core/ForceAlignedAccess.h"
-#include "src/Core/Flagged.h"
+// #include "src/Core/Flagged.h"
-#endif
+
 #include "src/Core/ReturnByValue.h"
 #include "src/Core/NoAlias.h"
 #include "src/Core/PlainObjectBase.h"
@@ -368,18 +356,13 @@ using std::ptrdiff_t;
 #include "src/Core/CommaInitializer.h"
 #include "src/Core/ProductBase.h"
 #include "src/Core/GeneralProduct.h"
-#ifdef EIGEN_ENABLE_EVALUATORS
 #include "src/Core/Solve.h"
 #include "src/Core/Inverse.h"
-#endif
 #include "src/Core/TriangularMatrix.h"
 #include "src/Core/SelfAdjointView.h"
 #include "src/Core/products/GeneralBlockPanelKernel.h"
 #include "src/Core/products/Parallelizer.h"
-#include "src/Core/products/CoeffBasedProduct.h"
-#ifdef EIGEN_ENABLE_EVALUATORS
 #include "src/Core/ProductEvaluators.h"
-#endif
 #include "src/Core/products/GeneralMatrixVector.h"
 #include "src/Core/products/GeneralMatrixMatrix.h"
 #include "src/Core/SolveTriangular.h"

Eigen/IterativeLinearSolvers

@@ -26,13 +26,7 @@
   * \endcode
   */
 
-#ifndef EIGEN_TEST_EVALUATORS
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-#else
 #include "src/IterativeLinearSolvers/SolveWithGuess.h"
-#endif
-
 #include "src/IterativeLinearSolvers/IterativeSolverBase.h"
 #include "src/IterativeLinearSolvers/BasicPreconditioners.h"
 #include "src/IterativeLinearSolvers/ConjugateGradient.h"

Eigen/LU

@@ -16,7 +16,6 @@
   * \endcode
   */
 
-#include "src/misc/Solve.h"
 #include "src/misc/Kernel.h"
 #include "src/misc/Image.h"
 #include "src/LU/FullPivLU.h"

Eigen/PaStiXSupport

@@ -35,12 +35,8 @@ extern "C" {
   *
   */
 
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
 #include "src/PaStiXSupport/PaStiXSupport.h"
 
-
 #include "src/Core/util/ReenableStupidWarnings.h"
 
 #endif // EIGEN_PASTIXSUPPORT_MODULE_H

Eigen/QR

@@ -24,7 +24,6 @@
   * \endcode
   */
 
-#include "src/misc/Solve.h"
 #include "src/QR/HouseholderQR.h"
 #include "src/QR/FullPivHouseholderQR.h"
 #include "src/QR/ColPivHouseholderQR.h"

Eigen/SPQRSupport

@@ -21,8 +21,6 @@
   *
   */
 
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
 #include "src/CholmodSupport/CholmodSupport.h"
 #include "src/SPQRSupport/SuiteSparseQRSupport.h"
 

Eigen/SVD

@@ -20,7 +20,6 @@
   * \endcode
   */
 
-#include "src/misc/Solve.h"
 #include "src/SVD/SVDBase.h"
 #include "src/SVD/JacobiSVD.h"
 #if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)

Eigen/SparseCholesky

@@ -34,11 +34,6 @@
 #error The SparseCholesky module has nothing to offer in MPL2 only mode
 #endif
 
-#ifndef EIGEN_TEST_EVALUATORS
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-#endif
-
 #include "src/SparseCholesky/SimplicialCholesky.h"
 
 #ifndef EIGEN_MPL2_ONLY

Eigen/SparseLU

@@ -20,9 +20,6 @@
   * Please, see the documentation of the SparseLU class for more details.
   */
 
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
 // Ordering interface
 #include "OrderingMethods"
 

Eigen/SparseQR

@@ -21,9 +21,6 @@
   * 
   */
 
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
 #include "OrderingMethods"
 #include "src/SparseCore/SparseColEtree.h"
 #include "src/SparseQR/SparseQR.h"

Eigen/SuperLUSupport

@@ -48,12 +48,8 @@ namespace Eigen { struct SluMatrix; }
   *
   */
 
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
 #include "src/SuperLUSupport/SuperLUSupport.h"
 
-
 #include "src/Core/util/ReenableStupidWarnings.h"
 
 #endif // EIGEN_SUPERLUSUPPORT_MODULE_H

Eigen/UmfPackSupport

@@ -26,9 +26,6 @@ extern "C" {
   *
   */
 
-#include "src/misc/Solve.h"
-#include "src/misc/SparseSolve.h"
-
 #include "src/UmfPackSupport/UmfPackSupport.h"
 
 #include "src/Core/util/ReenableStupidWarnings.h"

Eigen/src/Cholesky/LDLT.h

@@ -174,7 +174,6 @@ template<typename _MatrixType, int _UpLo> class LDLT
       *
       * \sa MatrixBase::ldlt(), SelfAdjointView::ldlt()
       */
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename Rhs>
     inline const Solve<LDLT, Rhs>
     solve(const MatrixBase<Rhs>& b) const
@@ -184,17 +183,6 @@ template<typename _MatrixType, int _UpLo> class LDLT
                 && "LDLT::solve(): invalid number of rows of the right hand side matrix b");
       return Solve<LDLT, Rhs>(*this, b.derived());
     }
-#else
-    template<typename Rhs>
-    inline const internal::solve_retval<LDLT, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "LDLT is not initialized.");
-      eigen_assert(m_matrix.rows()==b.rows()
-                && "LDLT::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<LDLT, Rhs>(*this, b.derived());
-    }
-#endif
 
     template<typename Derived>
     bool solveInPlace(MatrixBase<Derived> &bAndX) const;
@@ -524,23 +512,6 @@ void LDLT<_MatrixType,_UpLo>::_solve_impl(const RhsType &rhs, DstType &dst) cons
   dst = m_transpositions.transpose() * dst;
 }
 #endif
-  
-namespace internal {
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename _MatrixType, int _UpLo, typename Rhs>
-struct solve_retval<LDLT<_MatrixType,_UpLo>, Rhs>
-  : solve_retval_base<LDLT<_MatrixType,_UpLo>, Rhs>
-{
-  typedef LDLT<_MatrixType,_UpLo> LDLTType;
-  EIGEN_MAKE_SOLVE_HELPERS(LDLTType,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-#endif
-}
 
 /** \internal use x = ldlt_object.solve(x);
   *

Eigen/src/Cholesky/LLT.h

@@ -117,7 +117,6 @@ template<typename _MatrixType, int _UpLo> class LLT
       *
       * \sa solveInPlace(), MatrixBase::llt(), SelfAdjointView::llt()
       */
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename Rhs>
     inline const Solve<LLT, Rhs>
     solve(const MatrixBase<Rhs>& b) const
@@ -127,17 +126,6 @@ template<typename _MatrixType, int _UpLo> class LLT
                 && "LLT::solve(): invalid number of rows of the right hand side matrix b");
       return Solve<LLT, Rhs>(*this, b.derived());
     }
-#else
-    template<typename Rhs>
-    inline const internal::solve_retval<LLT, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      eigen_assert(m_matrix.rows()==b.rows()
-                && "LLT::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<LLT, Rhs>(*this, b.derived());
-    }
-#endif
 
     template<typename Derived>
     void solveInPlace(MatrixBase<Derived> &bAndX) const;
@@ -433,24 +421,6 @@ void LLT<_MatrixType,_UpLo>::_solve_impl(const RhsType &rhs, DstType &dst) const
 }
 #endif
 
-namespace internal {
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename _MatrixType, int UpLo, typename Rhs>
-struct solve_retval<LLT<_MatrixType, UpLo>, Rhs>
-  : solve_retval_base<LLT<_MatrixType, UpLo>, Rhs>
-{
-  typedef LLT<_MatrixType,UpLo> LLTType;
-  EIGEN_MAKE_SOLVE_HELPERS(LLTType,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dst = rhs();
-    dec().solveInPlace(dst);
-  }
-};
-#endif
-}
-
 /** \internal use x = llt_object.solve(x);
   * 
   * This is the \em in-place version of solve().

Eigen/src/CholmodSupport/CholmodSupport.h

@@ -217,36 +217,6 @@ class CholmodBase : public SparseSolverBase<Derived>
       return derived();
     }
     
-#ifndef EIGEN_TEST_EVALUATORS
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::solve_retval<CholmodBase, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "CholmodDecomposition::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<CholmodBase, Rhs>(*this, b.derived());
-    }
-    
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::sparse_solve_retval<CholmodBase, Rhs>
-    solve(const SparseMatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "LLT is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "CholmodDecomposition::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::sparse_solve_retval<CholmodBase, Rhs>(*this, b.derived());
-    }
-#endif // EIGEN_TEST_EVALUATORS
-    
     /** Performs a symbolic decomposition on the sparsity pattern of \a matrix.
       *
       * This function is particularly useful when solving for several problems having the same structure.
@@ -574,38 +544,6 @@ class CholmodDecomposition : public CholmodBase<_MatrixType, _UpLo, CholmodDecom
     }
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-  
-template<typename _MatrixType, int _UpLo, typename Derived, typename Rhs>
-struct solve_retval<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
-  : solve_retval_base<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
-{
-  typedef CholmodBase<_MatrixType,_UpLo,Derived> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-
-template<typename _MatrixType, int _UpLo, typename Derived, typename Rhs>
-struct sparse_solve_retval<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
-  : sparse_solve_retval_base<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
-{
-  typedef CholmodBase<_MatrixType,_UpLo,Derived> Dec;
-  EIGEN_MAKE_SPARSE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-
-} // end namespace internal
-#endif
-
 } // end namespace Eigen
 
 #endif // EIGEN_CHOLMODSUPPORT_H

Eigen/src/Core/ArrayBase.h

@@ -64,9 +64,6 @@ template<typename Derived> class ArrayBase
     using Base::MaxSizeAtCompileTime;
     using Base::IsVectorAtCompileTime;
     using Base::Flags;
-#ifndef EIGEN_TEST_EVALUATORS
-    using Base::CoeffReadCost;
-#endif
     
     using Base::derived;
     using Base::const_cast_derived;
@@ -123,11 +120,7 @@ template<typename Derived> class ArrayBase
     EIGEN_DEVICE_FUNC
     Derived& operator=(const ArrayBase& other)
     {
-#ifndef EIGEN_TEST_EVALUATORS
-      return internal::assign_selector<Derived,Derived>::run(derived(), other.derived());
-#else
       internal::call_assignment(derived(), other.derived());
-#endif
     }
 
     EIGEN_DEVICE_FUNC
@@ -183,7 +176,6 @@ template<typename Derived> class ArrayBase
     {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
 };
 
-#ifdef EIGEN_TEST_EVALUATORS
 /** replaces \c *this by \c *this - \a other.
   *
   * \returns a reference to \c *this
@@ -235,63 +227,6 @@ ArrayBase<Derived>::operator/=(const ArrayBase<OtherDerived>& other)
   call_assignment(derived(), other.derived(), internal::div_assign_op<Scalar>());
   return derived();
 }
-#else // EIGEN_TEST_EVALUATORS
-/** replaces \c *this by \c *this - \a other.
-  *
-  * \returns a reference to \c *this
-  */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-ArrayBase<Derived>::operator-=(const ArrayBase<OtherDerived> &other)
-{
-  SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
-}
-
-/** replaces \c *this by \c *this + \a other.
-  *
-  * \returns a reference to \c *this
-  */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-ArrayBase<Derived>::operator+=(const ArrayBase<OtherDerived>& other)
-{
-  SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
-}
-
-/** replaces \c *this by \c *this * \a other coefficient wise.
-  *
-  * \returns a reference to \c *this
-  */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-ArrayBase<Derived>::operator*=(const ArrayBase<OtherDerived>& other)
-{
-  SelfCwiseBinaryOp<internal::scalar_product_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
-}
-
-/** replaces \c *this by \c *this / \a other coefficient wise.
-  *
-  * \returns a reference to \c *this
-  */
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_STRONG_INLINE Derived &
-ArrayBase<Derived>::operator/=(const ArrayBase<OtherDerived>& other)
-{
-  SelfCwiseBinaryOp<internal::scalar_quotient_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-  return derived();
-}
-#endif
 
 } // end namespace Eigen
 

Eigen/src/Core/Assign.h

@@ -13,487 +13,6 @@
 #define EIGEN_ASSIGN_H
 
 namespace Eigen {
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-
-/***************************************************************************
-* Part 1 : the logic deciding a strategy for traversal and unrolling       *
-***************************************************************************/
-
-template <typename Derived, typename OtherDerived>
-struct assign_traits
-{
-public:
-  enum {
-    DstIsAligned = Derived::Flags & AlignedBit,
-    DstHasDirectAccess = Derived::Flags & DirectAccessBit,
-    SrcIsAligned = OtherDerived::Flags & AlignedBit,
-    JointAlignment = bool(DstIsAligned) && bool(SrcIsAligned) ? Aligned : Unaligned
-  };
-
-private:
-  enum {
-    InnerSize = int(Derived::IsVectorAtCompileTime) ? int(Derived::SizeAtCompileTime)
-              : int(Derived::Flags)&RowMajorBit ? int(Derived::ColsAtCompileTime)
-              : int(Derived::RowsAtCompileTime),
-    InnerMaxSize = int(Derived::IsVectorAtCompileTime) ? int(Derived::MaxSizeAtCompileTime)
-              : int(Derived::Flags)&RowMajorBit ? int(Derived::MaxColsAtCompileTime)
-              : int(Derived::MaxRowsAtCompileTime),
-    MaxSizeAtCompileTime = Derived::SizeAtCompileTime,
-    PacketSize = packet_traits<typename Derived::Scalar>::size
-  };
-
-  enum {
-    StorageOrdersAgree = (int(Derived::IsRowMajor) == int(OtherDerived::IsRowMajor)),
-    MightVectorize = StorageOrdersAgree
-                  && (int(Derived::Flags) & int(OtherDerived::Flags) & ActualPacketAccessBit),
-    MayInnerVectorize  = MightVectorize && int(InnerSize)!=Dynamic && int(InnerSize)%int(PacketSize)==0
-                       && int(DstIsAligned) && int(SrcIsAligned),
-    MayLinearize = StorageOrdersAgree && (int(Derived::Flags) & int(OtherDerived::Flags) & LinearAccessBit),
-    MayLinearVectorize = MightVectorize && MayLinearize && DstHasDirectAccess
-                       && (DstIsAligned || MaxSizeAtCompileTime == Dynamic),
-      /* If the destination isn't aligned, we have to do runtime checks and we don't unroll,
-         so it's only good for large enough sizes. */
-    MaySliceVectorize  = MightVectorize && DstHasDirectAccess
-                       && (int(InnerMaxSize)==Dynamic || int(InnerMaxSize)>=3*PacketSize)
-      /* slice vectorization can be slow, so we only want it if the slices are big, which is
-         indicated by InnerMaxSize rather than InnerSize, think of the case of a dynamic block
-         in a fixed-size matrix */
-  };
-
-public:
-  enum {
-    Traversal = int(MayInnerVectorize)  ? int(InnerVectorizedTraversal)
-              : int(MayLinearVectorize) ? int(LinearVectorizedTraversal)
-              : int(MaySliceVectorize)  ? int(SliceVectorizedTraversal)
-              : int(MayLinearize)       ? int(LinearTraversal)
-                                        : int(DefaultTraversal),
-    Vectorized = int(Traversal) == InnerVectorizedTraversal
-              || int(Traversal) == LinearVectorizedTraversal
-              || int(Traversal) == SliceVectorizedTraversal
-  };
-
-private:
-  enum {
-    UnrollingLimit      = EIGEN_UNROLLING_LIMIT * (Vectorized ? int(PacketSize) : 1),
-    MayUnrollCompletely = int(Derived::SizeAtCompileTime) != Dynamic
-                       && int(OtherDerived::CoeffReadCost) != Dynamic
-                       && int(Derived::SizeAtCompileTime) * int(OtherDerived::CoeffReadCost) <= int(UnrollingLimit),
-    MayUnrollInner      = int(InnerSize) != Dynamic
-                       && int(OtherDerived::CoeffReadCost) != Dynamic
-                       && int(InnerSize) * int(OtherDerived::CoeffReadCost) <= int(UnrollingLimit)
-  };
-
-public:
-  enum {
-    Unrolling = (int(Traversal) == int(InnerVectorizedTraversal) || int(Traversal) == int(DefaultTraversal))
-                ? (
-                    int(MayUnrollCompletely) ? int(CompleteUnrolling)
-                  : int(MayUnrollInner)      ? int(InnerUnrolling)
-                                             : int(NoUnrolling)
-                  )
-              : int(Traversal) == int(LinearVectorizedTraversal)
-                ? ( bool(MayUnrollCompletely) && bool(DstIsAligned) ? int(CompleteUnrolling) : int(NoUnrolling) )
-              : int(Traversal) == int(LinearTraversal)
-                ? ( bool(MayUnrollCompletely) ? int(CompleteUnrolling) : int(NoUnrolling) )
-              : int(NoUnrolling)
-  };
-
-#ifdef EIGEN_DEBUG_ASSIGN
-  static void debug()
-  {
-    EIGEN_DEBUG_VAR(DstIsAligned)
-    EIGEN_DEBUG_VAR(SrcIsAligned)
-    EIGEN_DEBUG_VAR(JointAlignment)
-    EIGEN_DEBUG_VAR(Derived::SizeAtCompileTime)
-    EIGEN_DEBUG_VAR(OtherDerived::CoeffReadCost)
-    EIGEN_DEBUG_VAR(InnerSize)
-    EIGEN_DEBUG_VAR(InnerMaxSize)
-    EIGEN_DEBUG_VAR(PacketSize)
-    EIGEN_DEBUG_VAR(StorageOrdersAgree)
-    EIGEN_DEBUG_VAR(MightVectorize)
-    EIGEN_DEBUG_VAR(MayLinearize)
-    EIGEN_DEBUG_VAR(MayInnerVectorize)
-    EIGEN_DEBUG_VAR(MayLinearVectorize)
-    EIGEN_DEBUG_VAR(MaySliceVectorize)
-    EIGEN_DEBUG_VAR(Traversal)
-    EIGEN_DEBUG_VAR(UnrollingLimit)
-    EIGEN_DEBUG_VAR(MayUnrollCompletely)
-    EIGEN_DEBUG_VAR(MayUnrollInner)
-    EIGEN_DEBUG_VAR(Unrolling)
-  }
-#endif
-};
-
-/***************************************************************************
-* Part 2 : meta-unrollers
-***************************************************************************/
-
-/************************
-*** Default traversal ***
-************************/
-
-template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_DefaultTraversal_CompleteUnrolling
-{
-  enum {
-    outer = Index / Derived1::InnerSizeAtCompileTime,
-    inner = Index % Derived1::InnerSizeAtCompileTime
-  };
-
-  EIGEN_DEVICE_FUNC
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    dst.copyCoeffByOuterInner(outer, inner, src);
-    assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Stop>
-struct assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
-{
-  EIGEN_DEVICE_FUNC 
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &) {}
-};
-
-template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_DefaultTraversal_InnerUnrolling
-{
-  EIGEN_DEVICE_FUNC 
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src, typename Derived1::Index outer)
-  {
-    dst.copyCoeffByOuterInner(outer, Index, src);
-    assign_DefaultTraversal_InnerUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src, outer);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Stop>
-struct assign_DefaultTraversal_InnerUnrolling<Derived1, Derived2, Stop, Stop>
-{
-  EIGEN_DEVICE_FUNC 
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &, typename Derived1::Index) {}
-};
-
-/***********************
-*** Linear traversal ***
-***********************/
-
-template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_LinearTraversal_CompleteUnrolling
-{
-  EIGEN_DEVICE_FUNC 
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    dst.copyCoeff(Index, src);
-    assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Stop>
-struct assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
-{
-  EIGEN_DEVICE_FUNC 
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &) {}
-};
-
-/**************************
-*** Inner vectorization ***
-**************************/
-
-template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_innervec_CompleteUnrolling
-{
-  enum {
-    outer = Index / Derived1::InnerSizeAtCompileTime,
-    inner = Index % Derived1::InnerSizeAtCompileTime,
-    JointAlignment = assign_traits<Derived1,Derived2>::JointAlignment
-  };
-
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    dst.template copyPacketByOuterInner<Derived2, Aligned, JointAlignment>(outer, inner, src);
-    assign_innervec_CompleteUnrolling<Derived1, Derived2,
-      Index+packet_traits<typename Derived1::Scalar>::size, Stop>::run(dst, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Stop>
-struct assign_innervec_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
-{
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &) {}
-};
-
-template<typename Derived1, typename Derived2, int Index, int Stop>
-struct assign_innervec_InnerUnrolling
-{
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src, typename Derived1::Index outer)
-  {
-    dst.template copyPacketByOuterInner<Derived2, Aligned, Aligned>(outer, Index, src);
-    assign_innervec_InnerUnrolling<Derived1, Derived2,
-      Index+packet_traits<typename Derived1::Scalar>::size, Stop>::run(dst, src, outer);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Stop>
-struct assign_innervec_InnerUnrolling<Derived1, Derived2, Stop, Stop>
-{
-  static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &, typename Derived1::Index) {}
-};
-
-/***************************************************************************
-* Part 3 : implementation of all cases
-***************************************************************************/
-
-template<typename Derived1, typename Derived2,
-         int Traversal = assign_traits<Derived1, Derived2>::Traversal,
-         int Unrolling = assign_traits<Derived1, Derived2>::Unrolling,
-         int Version = Specialized>
-struct assign_impl;
-
-/************************
-*** Default traversal ***
-************************/
-
-template<typename Derived1, typename Derived2, int Unrolling, int Version>
-struct assign_impl<Derived1, Derived2, InvalidTraversal, Unrolling, Version>
-{
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &, const Derived2 &) { }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, DefaultTraversal, NoUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  EIGEN_DEVICE_FUNC 
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    const Index innerSize = dst.innerSize();
-    const Index outerSize = dst.outerSize();
-    for(Index outer = 0; outer < outerSize; ++outer)
-      for(Index inner = 0; inner < innerSize; ++inner)
-        dst.copyCoeffByOuterInner(outer, inner, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, DefaultTraversal, CompleteUnrolling, Version>
-{
-  EIGEN_DEVICE_FUNC
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
-      ::run(dst, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, DefaultTraversal, InnerUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  EIGEN_DEVICE_FUNC 
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    const Index outerSize = dst.outerSize();
-    for(Index outer = 0; outer < outerSize; ++outer)
-      assign_DefaultTraversal_InnerUnrolling<Derived1, Derived2, 0, Derived1::InnerSizeAtCompileTime>
-        ::run(dst, src, outer);
-  }
-};
-
-/***********************
-*** Linear traversal ***
-***********************/
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, LinearTraversal, NoUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    const Index size = dst.size();
-    for(Index i = 0; i < size; ++i)
-      dst.copyCoeff(i, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, LinearTraversal, CompleteUnrolling, Version>
-{
-  EIGEN_DEVICE_FUNC
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
-      ::run(dst, src);
-  }
-};
-
-/**************************
-*** Inner vectorization ***
-**************************/
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, NoUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    const Index innerSize = dst.innerSize();
-    const Index outerSize = dst.outerSize();
-    const Index packetSize = packet_traits<typename Derived1::Scalar>::size;
-    for(Index outer = 0; outer < outerSize; ++outer)
-      for(Index inner = 0; inner < innerSize; inner+=packetSize)
-        dst.template copyPacketByOuterInner<Derived2, Aligned, Aligned>(outer, inner, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, CompleteUnrolling, Version>
-{
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    assign_innervec_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
-      ::run(dst, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, InnerUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    const Index outerSize = dst.outerSize();
-    for(Index outer = 0; outer < outerSize; ++outer)
-      assign_innervec_InnerUnrolling<Derived1, Derived2, 0, Derived1::InnerSizeAtCompileTime>
-        ::run(dst, src, outer);
-  }
-};
-
-/***************************
-*** Linear vectorization ***
-***************************/
-
-template <bool IsAligned = false>
-struct unaligned_assign_impl
-{
-  template <typename Derived, typename OtherDerived>
-  static EIGEN_STRONG_INLINE void run(const Derived&, OtherDerived&, typename Derived::Index, typename Derived::Index) {}
-};
-
-template <>
-struct unaligned_assign_impl<false>
-{
-  // MSVC must not inline this functions. If it does, it fails to optimize the
-  // packet access path.
-#ifdef _MSC_VER
-  template <typename Derived, typename OtherDerived>
-  static EIGEN_DONT_INLINE void run(const Derived& src, OtherDerived& dst, typename Derived::Index start, typename Derived::Index end)
-#else
-  template <typename Derived, typename OtherDerived>
-  static EIGEN_STRONG_INLINE void run(const Derived& src, OtherDerived& dst, typename Derived::Index start, typename Derived::Index end)
-#endif
-  {
-    for (typename Derived::Index index = start; index < end; ++index)
-      dst.copyCoeff(index, src);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, LinearVectorizedTraversal, NoUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    const Index size = dst.size();
-    typedef packet_traits<typename Derived1::Scalar> PacketTraits;
-    enum {
-      packetSize = PacketTraits::size,
-      dstAlignment = PacketTraits::AlignedOnScalar ? Aligned : int(assign_traits<Derived1,Derived2>::DstIsAligned) ,
-      srcAlignment = assign_traits<Derived1,Derived2>::JointAlignment
-    };
-    const Index alignedStart = assign_traits<Derived1,Derived2>::DstIsAligned ? 0
-                             : internal::first_aligned(&dst.coeffRef(0), size);
-    const Index alignedEnd = alignedStart + ((size-alignedStart)/packetSize)*packetSize;
-
-    unaligned_assign_impl<assign_traits<Derived1,Derived2>::DstIsAligned!=0>::run(src,dst,0,alignedStart);
-
-    for(Index index = alignedStart; index < alignedEnd; index += packetSize)
-    {
-      dst.template copyPacket<Derived2, dstAlignment, srcAlignment>(index, src);
-    }
-
-    unaligned_assign_impl<>::run(src,dst,alignedEnd,size);
-  }
-};
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, LinearVectorizedTraversal, CompleteUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
-  {
-    enum { size = Derived1::SizeAtCompileTime,
-           packetSize = packet_traits<typename Derived1::Scalar>::size,
-           alignedSize = (size/packetSize)*packetSize };
-
-    assign_innervec_CompleteUnrolling<Derived1, Derived2, 0, alignedSize>::run(dst, src);
-    assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, alignedSize, size>::run(dst, src);
-  }
-};
-
-/**************************
-*** Slice vectorization ***
-***************************/
-
-template<typename Derived1, typename Derived2, int Version>
-struct assign_impl<Derived1, Derived2, SliceVectorizedTraversal, NoUnrolling, Version>
-{
-  typedef typename Derived1::Index Index;
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    typedef packet_traits<typename Derived1::Scalar> PacketTraits;
-    enum {
-      packetSize = PacketTraits::size,
-      alignable = PacketTraits::AlignedOnScalar,
-      dstAlignment = alignable ? Aligned : int(assign_traits<Derived1,Derived2>::DstIsAligned) ,
-      srcAlignment = assign_traits<Derived1,Derived2>::JointAlignment
-    };
-    const Index packetAlignedMask = packetSize - 1;
-    const Index innerSize = dst.innerSize();
-    const Index outerSize = dst.outerSize();
-    const Index alignedStep = alignable ? (packetSize - dst.outerStride() % packetSize) & packetAlignedMask : 0;
-    Index alignedStart = ((!alignable) || assign_traits<Derived1,Derived2>::DstIsAligned) ? 0
-                       : internal::first_aligned(&dst.coeffRef(0,0), innerSize);
-
-    for(Index outer = 0; outer < outerSize; ++outer)
-    {
-      const Index alignedEnd = alignedStart + ((innerSize-alignedStart) & ~packetAlignedMask);
-      // do the non-vectorizable part of the assignment
-      for(Index inner = 0; inner<alignedStart ; ++inner)
-        dst.copyCoeffByOuterInner(outer, inner, src);
-
-      // do the vectorizable part of the assignment
-      for(Index inner = alignedStart; inner<alignedEnd; inner+=packetSize)
-        dst.template copyPacketByOuterInner<Derived2, dstAlignment, Unaligned>(outer, inner, src);
-
-      // do the non-vectorizable part of the assignment
-      for(Index inner = alignedEnd; inner<innerSize ; ++inner)
-        dst.copyCoeffByOuterInner(outer, inner, src);
-
-      alignedStart = std::min<Index>((alignedStart+alignedStep)%packetSize, innerSize);
-    }
-  }
-};
-
-} // end namespace internal
-
-#endif // EIGEN_TEST_EVALUATORS
-
-/***************************************************************************
-* Part 4 : implementation of DenseBase methods
-***************************************************************************/
 
 template<typename Derived>
 template<typename OtherDerived>
@@ -508,71 +27,12 @@ EIGEN_STRONG_INLINE Derived& DenseBase<Derived>
   EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
   EIGEN_STATIC_ASSERT(SameType,YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
 
-#ifdef EIGEN_TEST_EVALUATORS
-  
   eigen_assert(rows() == other.rows() && cols() == other.cols());
   internal::call_assignment_no_alias(derived(),other.derived());
   
-#else // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_DEBUG_ASSIGN
-  internal::assign_traits<Derived, OtherDerived>::debug();
-#endif
-  eigen_assert(rows() == other.rows() && cols() == other.cols());
-  internal::assign_impl<Derived, OtherDerived, int(SameType) ? int(internal::assign_traits<Derived, OtherDerived>::Traversal)
-                                                             : int(InvalidTraversal)>::run(derived(),other.derived());
-
-#ifndef EIGEN_NO_DEBUG
-  checkTransposeAliasing(other.derived());
-#endif
-  
-#endif // EIGEN_TEST_EVALUATORS
-
   return derived();
 }
 
-namespace internal {
-
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename Derived, typename OtherDerived,
-         bool EvalBeforeAssigning = (int(internal::traits<OtherDerived>::Flags) & EvalBeforeAssigningBit) != 0,
-         bool NeedToTranspose = ((int(Derived::RowsAtCompileTime) == 1 && int(OtherDerived::ColsAtCompileTime) == 1)
-                              |   // FIXME | instead of || to please GCC 4.4.0 stupid warning "suggest parentheses around &&".
-                                  // revert to || as soon as not needed anymore.
-                                  (int(Derived::ColsAtCompileTime) == 1 && int(OtherDerived::RowsAtCompileTime) == 1))
-                              && int(Derived::SizeAtCompileTime) != 1>
-struct assign_selector;
-
-template<typename Derived, typename OtherDerived>
-struct assign_selector<Derived,OtherDerived,false,false> {
-  EIGEN_DEVICE_FUNC
-  static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.derived()); }
-  template<typename ActualDerived, typename ActualOtherDerived>
-  EIGEN_DEVICE_FUNC
-  static EIGEN_STRONG_INLINE Derived& evalTo(ActualDerived& dst, const ActualOtherDerived& other) { other.evalTo(dst); return dst; }
-};
-template<typename Derived, typename OtherDerived>
-struct assign_selector<Derived,OtherDerived,true,false> {
-  EIGEN_DEVICE_FUNC
-  static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.eval()); }
-};
-template<typename Derived, typename OtherDerived>
-struct assign_selector<Derived,OtherDerived,false,true> {
-  EIGEN_DEVICE_FUNC
-  static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose()); }
-  template<typename ActualDerived, typename ActualOtherDerived>
-  EIGEN_DEVICE_FUNC
-  static EIGEN_STRONG_INLINE Derived& evalTo(ActualDerived& dst, const ActualOtherDerived& other) { Transpose<ActualDerived> dstTrans(dst); other.evalTo(dstTrans); return dst; }
-};
-template<typename Derived, typename OtherDerived>
-struct assign_selector<Derived,OtherDerived,true,true> {
-  EIGEN_DEVICE_FUNC
-  static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose().eval()); }
-};
-#endif // EIGEN_TEST_EVALUATORS
-} // end namespace internal
-
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename Derived>
 template<typename OtherDerived>
 EIGEN_DEVICE_FUNC
@@ -624,53 +84,6 @@ EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const ReturnByValue<
   other.derived().evalTo(derived());
   return derived();
 }
-#else // EIGEN_TEST_EVALUATORS
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
-{
-  return internal::assign_selector<Derived,OtherDerived>::run(derived(), other.derived());
-}
-
-template<typename Derived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase& other)
-{
-  return internal::assign_selector<Derived,Derived>::run(derived(), other.derived());
-}
-
-template<typename Derived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const MatrixBase& other)
-{
-  return internal::assign_selector<Derived,Derived>::run(derived(), other.derived());
-}
-
-template<typename Derived>
-template <typename OtherDerived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
-{
-  return internal::assign_selector<Derived,OtherDerived>::run(derived(), other.derived());
-}
-
-template<typename Derived>
-template <typename OtherDerived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const EigenBase<OtherDerived>& other)
-{
-  return internal::assign_selector<Derived,OtherDerived,false>::evalTo(derived(), other.derived());
-}
-
-template<typename Derived>
-template<typename OtherDerived>
-EIGEN_DEVICE_FUNC
-EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
-{
-  return internal::assign_selector<Derived,OtherDerived,false>::evalTo(derived(), other.derived());
-}
-#endif // EIGEN_TEST_EVALUATORS
 
 } // end namespace Eigen
 

Eigen/src/Core/AssignEvaluator.h

@@ -695,13 +695,7 @@ void call_assignment(const Dst& dst, const Src& src)
 template<typename Dst, typename Src, typename Func>
 void call_assignment(Dst& dst, const Src& src, const Func& func, typename enable_if<evaluator_traits<Src>::AssumeAliasing==1, void*>::type = 0)
 {
-#ifdef EIGEN_TEST_EVALUATORS
   typename plain_matrix_type<Src>::type tmp(src);
-#else
-  typename Src::PlainObject tmp(src.rows(), src.cols());
-  call_assignment_no_alias(tmp, src, internal::assign_op<typename Dst::Scalar>());
-#endif
-  
   call_assignment_no_alias(dst, tmp, func);
 }
 

Eigen/src/Core/BandMatrix.h

@@ -328,8 +328,6 @@ class TridiagonalMatrix : public BandMatrix<Scalar,Size,Size,Options&SelfAdjoint
 };
 
 
-#ifdef EIGEN_TEST_EVALUATORS
-
 struct BandShape {};
 
 template<typename _Scalar, int _Rows, int _Cols, int _Supers, int _Subs, int _Options>
@@ -347,8 +345,6 @@ struct evaluator_traits<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,
 };
 
 template<> struct AssignmentKind<DenseShape,BandShape> { typedef EigenBase2EigenBase Kind; };
-#endif
-
 
 } // end namespace internal
 

Eigen/src/Core/Block.h

@@ -84,26 +84,11 @@ struct traits<Block<XprType, BlockRows, BlockCols, InnerPanel> > : traits<XprTyp
     // IsAligned is needed by MapBase's assertions
     // We can sefely set it to false here. Internal alignment errors will be detected by an eigen_internal_assert in the respective evaluator
     IsAligned = 0,
-#ifndef EIGEN_TEST_EVALUATORS
-    MaskPacketAccessBit = (InnerSize == Dynamic || (InnerSize % packet_traits<Scalar>::size) == 0)
-                       && (InnerStrideAtCompileTime == 1)
-                        ? PacketAccessBit : 0,
-    MaskAlignedBit = (InnerPanel && (OuterStrideAtCompileTime!=Dynamic) && (((OuterStrideAtCompileTime * int(sizeof(Scalar))) % EIGEN_ALIGN_BYTES) == 0)) ? AlignedBit : 0,
-    FlagsLinearAccessBit = (RowsAtCompileTime == 1 || ColsAtCompileTime == 1 || (InnerPanel && (traits<XprType>::Flags&LinearAccessBit))) ? LinearAccessBit : 0,
-    FlagsLvalueBit = is_lvalue<XprType>::value ? LvalueBit : 0,
-    FlagsRowMajorBit = IsRowMajor ? RowMajorBit : 0,
-    Flags0 = traits<XprType>::Flags & ( (HereditaryBits & ~RowMajorBit) |
-                                        DirectAccessBit |
-                                        MaskPacketAccessBit |
-                                        MaskAlignedBit),
-    Flags = Flags0 | FlagsLinearAccessBit | FlagsLvalueBit | FlagsRowMajorBit
-#else
     // FIXME, this traits is rather specialized for dense object and it needs to be cleaned further
     FlagsLvalueBit = is_lvalue<XprType>::value ? LvalueBit : 0,
     FlagsRowMajorBit = IsRowMajor ? RowMajorBit : 0,
     Flags = (traits<XprType>::Flags & DirectAccessBit) | FlagsLvalueBit | FlagsRowMajorBit
     // FIXME DirectAccessBit should not be handled by expressions
-#endif
   };
 };
 

Eigen/src/Core/BooleanRedux.h

@@ -17,18 +17,11 @@ namespace internal {
 template<typename Derived, int UnrollCount>
 struct all_unroller
 {
-#ifdef EIGEN_TEST_EVALUATORS
   typedef typename Derived::ExpressionTraits Traits;
   enum {
     col = (UnrollCount-1) / Traits::RowsAtCompileTime,
     row = (UnrollCount-1) % Traits::RowsAtCompileTime
   };
-#else
-  enum {
-    col = (UnrollCount-1) / Derived::RowsAtCompileTime,
-    row = (UnrollCount-1) % Derived::RowsAtCompileTime
-  };
-#endif
 
   static inline bool run(const Derived &mat)
   {
@@ -51,18 +44,11 @@ struct all_unroller<Derived, Dynamic>
 template<typename Derived, int UnrollCount>
 struct any_unroller
 {
-#ifdef EIGEN_TEST_EVALUATORS
   typedef typename Derived::ExpressionTraits Traits;
   enum {
     col = (UnrollCount-1) / Traits::RowsAtCompileTime,
     row = (UnrollCount-1) % Traits::RowsAtCompileTime
   };
-#else
-  enum {
-    col = (UnrollCount-1) / Derived::RowsAtCompileTime,
-    row = (UnrollCount-1) % Derived::RowsAtCompileTime
-  };
-#endif
   
   static inline bool run(const Derived &mat)
   {
@@ -94,7 +80,6 @@ struct any_unroller<Derived, Dynamic>
 template<typename Derived>
 inline bool DenseBase<Derived>::all() const
 {
-#ifdef EIGEN_TEST_EVALUATORS
   typedef typename internal::evaluator<Derived>::type Evaluator;
   enum {
     unroll = SizeAtCompileTime != Dynamic
@@ -112,24 +97,6 @@ inline bool DenseBase<Derived>::all() const
         if (!evaluator.coeff(i, j)) return false;
     return true;
   }
-#else
-  enum {
-    unroll = SizeAtCompileTime != Dynamic
-          && CoeffReadCost != Dynamic
-          && NumTraits<Scalar>::AddCost != Dynamic
-          && SizeAtCompileTime * (CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
-  };
-  
-  if(unroll)
-    return internal::all_unroller<Derived, unroll ? int(SizeAtCompileTime) : Dynamic>::run(derived());
-  else
-  {
-    for(Index j = 0; j < cols(); ++j)
-      for(Index i = 0; i < rows(); ++i)
-        if (!coeff(i, j)) return false;
-    return true;
-  }
-#endif
 }
 
 /** \returns true if at least one coefficient is true
@@ -139,7 +106,6 @@ inline bool DenseBase<Derived>::all() const
 template<typename Derived>
 inline bool DenseBase<Derived>::any() const
 {
-#ifdef EIGEN_TEST_EVALUATORS
   typedef typename internal::evaluator<Derived>::type Evaluator;
   enum {
     unroll = SizeAtCompileTime != Dynamic
@@ -157,23 +123,6 @@ inline bool DenseBase<Derived>::any() const
         if (evaluator.coeff(i, j)) return true;
     return false;
   }
-#else
-  enum {
-    unroll = SizeAtCompileTime != Dynamic
-          && CoeffReadCost != Dynamic
-          && NumTraits<Scalar>::AddCost != Dynamic
-          && SizeAtCompileTime * (CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
-  };
-  if(unroll)
-    return internal::any_unroller<Derived, unroll ? int(SizeAtCompileTime) : Dynamic>::run(derived());
-  else
-  {
-    for(Index j = 0; j < cols(); ++j)
-      for(Index i = 0; i < rows(); ++i)
-        if (coeff(i, j)) return true;
-    return false;
-  }
-#endif
 }
 
 /** \returns the number of coefficients which evaluate to true

Eigen/src/Core/CwiseBinaryOp.h

@@ -66,28 +66,7 @@ struct traits<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
   typedef typename remove_reference<LhsNested>::type _LhsNested;
   typedef typename remove_reference<RhsNested>::type _RhsNested;
   enum {
-#ifndef EIGEN_TEST_EVALUATORS
-    LhsFlags = _LhsNested::Flags,
-    RhsFlags = _RhsNested::Flags,
-    SameType = is_same<typename _LhsNested::Scalar,typename _RhsNested::Scalar>::value,
-    StorageOrdersAgree = (int(Lhs::Flags)&RowMajorBit)==(int(Rhs::Flags)&RowMajorBit),
-    Flags0 = (int(LhsFlags) | int(RhsFlags)) & (
-        HereditaryBits
-      | (int(LhsFlags) & int(RhsFlags) &
-           ( AlignedBit
-           | (StorageOrdersAgree ? LinearAccessBit : 0)
-           | (functor_traits<BinaryOp>::PacketAccess && StorageOrdersAgree && SameType ? PacketAccessBit : 0)
-           )
-        )
-     ),
-    Flags = (Flags0 & ~RowMajorBit) | (LhsFlags & RowMajorBit),
-    
-    LhsCoeffReadCost = _LhsNested::CoeffReadCost,
-    RhsCoeffReadCost = _RhsNested::CoeffReadCost,
-    CoeffReadCost = LhsCoeffReadCost + RhsCoeffReadCost + functor_traits<BinaryOp>::Cost
-#else
     Flags = _LhsNested::Flags & RowMajorBit
-#endif
   };
 };
 } // end namespace internal
@@ -163,46 +142,6 @@ class CwiseBinaryOp : internal::no_assignment_operator,
     const BinaryOp m_functor;
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename BinaryOp, typename Lhs, typename Rhs>
-class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Dense>
-  : public internal::dense_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type
-{
-    typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> Derived;
-  public:
-
-    typedef typename internal::dense_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE( Derived )
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar coeff(Index rowId, Index colId) const
-    {
-      return derived().functor()(derived().lhs().coeff(rowId, colId),
-                                 derived().rhs().coeff(rowId, colId));
-    }
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index rowId, Index colId) const
-    {
-      return derived().functor().packetOp(derived().lhs().template packet<LoadMode>(rowId, colId),
-                                          derived().rhs().template packet<LoadMode>(rowId, colId));
-    }
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
-    {
-      return derived().functor()(derived().lhs().coeff(index),
-                                 derived().rhs().coeff(index));
-    }
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index index) const
-    {
-      return derived().functor().packetOp(derived().lhs().template packet<LoadMode>(index),
-                                          derived().rhs().template packet<LoadMode>(index));
-    }
-};
-#else
 // Generic API dispatcher
 template<typename BinaryOp, typename Lhs, typename Rhs, typename StorageKind>
 class CwiseBinaryOpImpl
@@ -211,7 +150,6 @@ class CwiseBinaryOpImpl
 public:
   typedef typename internal::generic_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type Base;
 };
-#endif
 
 /** replaces \c *this by \c *this - \a other.
   *
@@ -222,12 +160,7 @@ template<typename OtherDerived>
 EIGEN_STRONG_INLINE Derived &
 MatrixBase<Derived>::operator-=(const MatrixBase<OtherDerived> &other)
 {
-#ifdef EIGEN_TEST_EVALUATORS
   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar>());
-#else
-  SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-#endif
   return derived();
 }
 
@@ -240,12 +173,7 @@ template<typename OtherDerived>
 EIGEN_STRONG_INLINE Derived &
 MatrixBase<Derived>::operator+=(const MatrixBase<OtherDerived>& other)
 {
-#ifdef EIGEN_TEST_EVALUATORS
   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar>());
-#else
-  SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, Derived, OtherDerived> tmp(derived());
-  tmp = other.derived();
-#endif
   return derived();
 }
 

Eigen/src/Core/CwiseNullaryOp.h

@@ -35,16 +35,7 @@ template<typename NullaryOp, typename PlainObjectType>
 struct traits<CwiseNullaryOp<NullaryOp, PlainObjectType> > : traits<PlainObjectType>
 {
   enum {
-#ifndef EIGEN_TEST_EVALUATORS  
-    Flags = (traits<PlainObjectType>::Flags
-      & (  HereditaryBits
-         | (functor_has_linear_access<NullaryOp>::ret ? LinearAccessBit : 0)
-         | (functor_traits<NullaryOp>::PacketAccess ? PacketAccessBit : 0)))
-      | (functor_traits<NullaryOp>::IsRepeatable ? 0 : EvalBeforeNestingBit),
-    CoeffReadCost = functor_traits<NullaryOp>::Cost
-#else
     Flags = traits<PlainObjectType>::Flags & RowMajorBit
-#endif
   };
 };
 }

Eigen/src/Core/CwiseUnaryOp.h

@@ -44,14 +44,7 @@ struct traits<CwiseUnaryOp<UnaryOp, XprType> >
   typedef typename XprType::Nested XprTypeNested;
   typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
   enum {
-#ifndef EIGEN_TEST_EVALUATORS
-    Flags = _XprTypeNested::Flags & (
-      HereditaryBits | LinearAccessBit | AlignedBit
-      | (functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0)),
-    CoeffReadCost = _XprTypeNested::CoeffReadCost + functor_traits<UnaryOp>::Cost
-#else
     Flags = _XprTypeNested::Flags & RowMajorBit 
-#endif
   };
 };
 }
@@ -97,45 +90,6 @@ class CwiseUnaryOp : internal::no_assignment_operator,
     const UnaryOp m_functor;
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-// This is the generic implementation for dense storage.
-// It can be used for any expression types implementing the dense concept.
-template<typename UnaryOp, typename XprType>
-class CwiseUnaryOpImpl<UnaryOp,XprType,Dense>
-  : public internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type
-{
-  public:
-
-    typedef CwiseUnaryOp<UnaryOp, XprType> Derived;
-    typedef typename internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
-    
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar coeff(Index rowId, Index colId) const
-    {
-      return derived().functor()(derived().nestedExpression().coeff(rowId, colId));
-    }
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index rowId, Index colId) const
-    {
-      return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(rowId, colId));
-    }
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
-    {
-      return derived().functor()(derived().nestedExpression().coeff(index));
-    }
-
-    template<int LoadMode>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE PacketScalar packet(Index index) const
-    {
-      return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(index));
-    }
-};
-#else // EIGEN_TEST_EVALUATORS
 // Generic API dispatcher
 template<typename UnaryOp, typename XprType, typename StorageKind>
 class CwiseUnaryOpImpl
@@ -144,7 +98,6 @@ class CwiseUnaryOpImpl
 public:
   typedef typename internal::generic_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type Base;
 };
-#endif // EIGEN_TEST_EVALUATORS
 
 } // end namespace Eigen
 

Eigen/src/Core/CwiseUnaryView.h

@@ -37,12 +37,7 @@ struct traits<CwiseUnaryView<ViewOp, MatrixType> >
   typedef typename MatrixType::Nested MatrixTypeNested;
   typedef typename remove_all<MatrixTypeNested>::type _MatrixTypeNested;
   enum {
-#ifndef EIGEN_TEST_EVALUATORS
-    Flags = (traits<_MatrixTypeNested>::Flags & (HereditaryBits | LvalueBit | LinearAccessBit | DirectAccessBit)),
-    CoeffReadCost = traits<_MatrixTypeNested>::CoeffReadCost + functor_traits<ViewOp>::Cost,
-#else
     Flags = traits<_MatrixTypeNested>::Flags & (RowMajorBit | LvalueBit | DirectAccessBit), // FIXME DirectAccessBit should not be handled by expressions
-#endif
     MatrixTypeInnerStride =  inner_stride_at_compile_time<MatrixType>::ret,
     // need to cast the sizeof's from size_t to int explicitly, otherwise:
     // "error: no integral type can represent all of the enumerator values
@@ -93,7 +88,6 @@ class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename in
     ViewOp m_functor;
 };
 
-#ifdef EIGEN_TEST_EVALUATORS
 // Generic API dispatcher
 template<typename ViewOp, typename XprType, typename StorageKind>
 class CwiseUnaryViewImpl
@@ -102,7 +96,6 @@ class CwiseUnaryViewImpl
 public:
   typedef typename internal::generic_xpr_base<CwiseUnaryView<ViewOp, XprType> >::type Base;
 };
-#endif
 
 template<typename ViewOp, typename MatrixType>
 class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
@@ -128,30 +121,6 @@ class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
     {
       return derived().nestedExpression().outerStride() * sizeof(typename internal::traits<MatrixType>::Scalar) / sizeof(Scalar);
     }
-    
-#ifndef EIGEN_TEST_EVALUATORS
-
-    EIGEN_STRONG_INLINE CoeffReturnType coeff(Index row, Index col) const
-    {
-      return derived().functor()(derived().nestedExpression().coeff(row, col));
-    }
-
-    EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const
-    {
-      return derived().functor()(derived().nestedExpression().coeff(index));
-    }
-
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index row, Index col)
-    {
-      return derived().functor()(const_cast_derived().nestedExpression().coeffRef(row, col));
-    }
-
-    EIGEN_STRONG_INLINE Scalar& coeffRef(Index index)
-    {
-      return derived().functor()(const_cast_derived().nestedExpression().coeffRef(index));
-    }
-    
-#endif
 };
 
 } // end namespace Eigen

Eigen/src/Core/DenseBase.h

@@ -74,18 +74,6 @@ template<typename Derived> class DenseBase
     using Base::colIndexByOuterInner;
     using Base::coeff;
     using Base::coeffByOuterInner;
-#ifndef EIGEN_TEST_EVALUATORS
-    using Base::packet;
-    using Base::packetByOuterInner;
-    using Base::writePacket;
-    using Base::writePacketByOuterInner;
-    using Base::coeffRef;
-    using Base::coeffRefByOuterInner;
-    using Base::copyCoeff;
-    using Base::copyCoeffByOuterInner;
-    using Base::copyPacket;
-    using Base::copyPacketByOuterInner;
-#endif
     using Base::operator();
     using Base::operator[];
     using Base::x;
@@ -171,13 +159,6 @@ template<typename Derived> class DenseBase
       InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime)
                              : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
 
-#ifndef EIGEN_TEST_EVALUATORS
-      CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
-        /**< This is a rough measure of how expensive it is to read one coefficient from
-          * this expression.
-          */
-#endif
-
       InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret,
       OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret
     };
@@ -292,15 +273,10 @@ template<typename Derived> class DenseBase
     EIGEN_DEVICE_FUNC
     CommaInitializer<Derived> operator<< (const Scalar& s);
 
-#ifndef EIGEN_TEST_EVALUATORS
-    template<unsigned int Added,unsigned int Removed>
-    const Flagged<Derived, Added, Removed> flagged() const;
-#else
     // TODO flagged is temporarly disabled. It seems useless now
     template<unsigned int Added,unsigned int Removed>
     const Derived& flagged() const
     { return derived(); }
-#endif
 
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
@@ -313,15 +289,6 @@ template<typename Derived> class DenseBase
     ConstTransposeReturnType transpose() const;
     EIGEN_DEVICE_FUNC
     void transposeInPlace();
-#ifndef EIGEN_NO_DEBUG
-#ifndef EIGEN_TEST_EVALUATORS
-  protected:
-    template<typename OtherDerived>
-    void checkTransposeAliasing(const OtherDerived& other) const;
-  public:
-#endif
-#endif
-
 
     EIGEN_DEVICE_FUNC static const ConstantReturnType
     Constant(Index rows, Index cols, const Scalar& value);
@@ -402,7 +369,6 @@ template<typename Derived> class DenseBase
       return typename internal::eval<Derived>::type(derived());
     }
     
-#ifdef EIGEN_TEST_EVALUATORS
     /** swaps *this with the expression \a other.
       *
       */
@@ -425,28 +391,6 @@ template<typename Derived> class DenseBase
       eigen_assert(rows()==other.rows() && cols()==other.cols());
       call_assignment(derived(), other.derived(), internal::swap_assign_op<Scalar>());
     }
-#else // EIGEN_TEST_EVALUATORS
-    /** swaps *this with the expression \a other.
-      *
-      */
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    void swap(const DenseBase<OtherDerived>& other,
-              int = OtherDerived::ThisConstantIsPrivateInPlainObjectBase)
-    {
-      SwapWrapper<Derived>(derived()).lazyAssign(other.derived());
-    }
-
-    /** swaps *this with the matrix or array \a other.
-      *
-      */
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    void swap(PlainObjectBase<OtherDerived>& other)
-    {
-      SwapWrapper<Derived>(derived()).lazyAssign(other.derived());
-    }
-#endif // EIGEN_TEST_EVALUATORS
 
     EIGEN_DEVICE_FUNC inline const NestByValue<Derived> nestByValue() const;
     EIGEN_DEVICE_FUNC inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;

Eigen/src/Core/DenseCoeffsBase.h

@@ -98,11 +98,7 @@ class DenseCoeffsBase<Derived,ReadOnlyAccessors> : public EigenBase<Derived>
     {
       eigen_internal_assert(row >= 0 && row < rows()
                          && col >= 0 && col < cols());
-#ifndef EIGEN_TEST_EVALUATORS
-      return derived().coeff(row, col);
-#else
       return typename internal::evaluator<Derived>::type(derived()).coeff(row,col);
-#endif
     }
 
     EIGEN_DEVICE_FUNC
@@ -144,11 +140,7 @@ class DenseCoeffsBase<Derived,ReadOnlyAccessors> : public EigenBase<Derived>
     coeff(Index index) const
     {
       eigen_internal_assert(index >= 0 && index < size());
-#ifndef EIGEN_TEST_EVALUATORS
-      return derived().coeff(index);
-#else
       return typename internal::evaluator<Derived>::type(derived()).coeff(index);
-#endif
     }
 
 
@@ -226,11 +218,7 @@ class DenseCoeffsBase<Derived,ReadOnlyAccessors> : public EigenBase<Derived>
     EIGEN_STRONG_INLINE PacketReturnType packet(Index row, Index col) const
     {
       eigen_internal_assert(row >= 0 && row < rows() && col >= 0 && col < cols());
-#ifndef EIGEN_TEST_EVALUATORS
-      return derived().template packet<LoadMode>(row,col);
-#else
       return typename internal::evaluator<Derived>::type(derived()).template packet<LoadMode>(row,col);
-#endif
     }
 
 
@@ -256,11 +244,7 @@ class DenseCoeffsBase<Derived,ReadOnlyAccessors> : public EigenBase<Derived>
     EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
     {
       eigen_internal_assert(index >= 0 && index < size());
-#ifndef EIGEN_TEST_EVALUATORS
-      return derived().template packet<LoadMode>(index);
-#else
       return typename internal::evaluator<Derived>::type(derived()).template packet<LoadMode>(index);
-#endif
     }
 
   protected:
@@ -341,11 +325,7 @@ class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived,
     {
       eigen_internal_assert(row >= 0 && row < rows()
                          && col >= 0 && col < cols());
-#ifndef EIGEN_TEST_EVALUATORS
-      return derived().coeffRef(row, col);
-#else
       return typename internal::evaluator<Derived>::type(derived()).coeffRef(row,col);
-#endif
     }
 
     EIGEN_DEVICE_FUNC
@@ -391,11 +371,7 @@ class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived,
     coeffRef(Index index)
     {
       eigen_internal_assert(index >= 0 && index < size());
-#ifndef EIGEN_TEST_EVALUATORS
-      return derived().coeffRef(index);
-#else
       return typename internal::evaluator<Derived>::type(derived()).coeffRef(index);
-#endif
     }
 
     /** \returns a reference to the coefficient at given index.
@@ -455,146 +431,6 @@ class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived,
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Scalar&
     w() { return (*this)[3]; }
-
-#ifndef EIGEN_TEST_EVALUATORS
-    /** \internal
-      * Stores the given packet of coefficients, at the given row and column of this expression. It is your responsibility
-      * to ensure that a packet really starts there. This method is only available on expressions having the
-      * PacketAccessBit.
-      *
-      * The \a LoadMode parameter may have the value \a #Aligned or \a #Unaligned. Its effect is to select
-      * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
-      * starting at an address which is a multiple of the packet size.
-      */
-
-    template<int StoreMode>
-    EIGEN_STRONG_INLINE void writePacket
-    (Index row, Index col, const typename internal::packet_traits<Scalar>::type& val)
-    {
-      eigen_internal_assert(row >= 0 && row < rows()
-                        && col >= 0 && col < cols());
-      derived().template writePacket<StoreMode>(row,col,val);
-    }
-
-
-    /** \internal */
-    template<int StoreMode>
-    EIGEN_STRONG_INLINE void writePacketByOuterInner
-    (Index outer, Index inner, const typename internal::packet_traits<Scalar>::type& val)
-    {
-      writePacket<StoreMode>(rowIndexByOuterInner(outer, inner),
-                            colIndexByOuterInner(outer, inner),
-                            val);
-    }
-
-    /** \internal
-      * Stores the given packet of coefficients, at the given index in this expression. It is your responsibility
-      * to ensure that a packet really starts there. This method is only available on expressions having the
-      * PacketAccessBit and the LinearAccessBit.
-      *
-      * The \a LoadMode parameter may have the value \a Aligned or \a Unaligned. Its effect is to select
-      * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
-      * starting at an address which is a multiple of the packet size.
-      */
-    template<int StoreMode>
-    EIGEN_STRONG_INLINE void writePacket
-    (Index index, const typename internal::packet_traits<Scalar>::type& val)
-    {
-      eigen_internal_assert(index >= 0 && index < size());
-      derived().template writePacket<StoreMode>(index,val);
-    }
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-
-    /** \internal Copies the coefficient at position (row,col) of other into *this.
-      *
-      * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
-      * with usual assignments.
-      *
-      * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
-      */
-
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE void copyCoeff(Index row, Index col, const DenseBase<OtherDerived>& other)
-    {
-      eigen_internal_assert(row >= 0 && row < rows()
-                        && col >= 0 && col < cols());
-      derived().coeffRef(row, col) = other.derived().coeff(row, col);
-    }
-
-    /** \internal Copies the coefficient at the given index of other into *this.
-      *
-      * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
-      * with usual assignments.
-      *
-      * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
-      */
-
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE void copyCoeff(Index index, const DenseBase<OtherDerived>& other)
-    {
-      eigen_internal_assert(index >= 0 && index < size());
-      derived().coeffRef(index) = other.derived().coeff(index);
-    }
-
-
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE void copyCoeffByOuterInner(Index outer, Index inner, const DenseBase<OtherDerived>& other)
-    {
-      const Index row = rowIndexByOuterInner(outer,inner);
-      const Index col = colIndexByOuterInner(outer,inner);
-      // derived() is important here: copyCoeff() may be reimplemented in Derived!
-      derived().copyCoeff(row, col, other);
-    }
-
-    /** \internal Copies the packet at position (row,col) of other into *this.
-      *
-      * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
-      * with usual assignments.
-      *
-      * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
-      */
-
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    EIGEN_STRONG_INLINE void copyPacket(Index row, Index col, const DenseBase<OtherDerived>& other)
-    {
-      eigen_internal_assert(row >= 0 && row < rows()
-                        && col >= 0 && col < cols());
-      derived().template writePacket<StoreMode>(row, col,
-        other.derived().template packet<LoadMode>(row, col));
-    }
-
-    /** \internal Copies the packet at the given index of other into *this.
-      *
-      * This method is overridden in SwapWrapper, allowing swap() assignments to share 99% of their code
-      * with usual assignments.
-      *
-      * Outside of this internal usage, this method has probably no usefulness. It is hidden in the public API dox.
-      */
-
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    EIGEN_STRONG_INLINE void copyPacket(Index index, const DenseBase<OtherDerived>& other)
-    {
-      eigen_internal_assert(index >= 0 && index < size());
-      derived().template writePacket<StoreMode>(index,
-        other.derived().template packet<LoadMode>(index));
-    }
-
-    /** \internal */
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    EIGEN_STRONG_INLINE void copyPacketByOuterInner(Index outer, Index inner, const DenseBase<OtherDerived>& other)
-    {
-      const Index row = rowIndexByOuterInner(outer,inner);
-      const Index col = colIndexByOuterInner(outer,inner);
-      // derived() is important here: copyCoeff() may be reimplemented in Derived!
-      derived().template copyPacket< OtherDerived, StoreMode, LoadMode>(row, col, other);
-    }
-#endif
-#endif // EIGEN_TEST_EVALUATORS
-
 };
 
 /** \brief Base class providing direct read-only coefficient access to matrices and arrays.

Eigen/src/Core/Diagonal.h

@@ -51,14 +51,8 @@ struct traits<Diagonal<MatrixType,DiagIndex> >
                          : (EIGEN_PLAIN_ENUM_MIN(MatrixType::MaxRowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
                                                  MatrixType::MaxColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
     MaxColsAtCompileTime = 1,
-#ifndef EIGEN_TEST_EVALUATORS
-    MaskLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
-    Flags = (unsigned int)_MatrixTypeNested::Flags & (HereditaryBits | LinearAccessBit | MaskLvalueBit | DirectAccessBit) & ~RowMajorBit,
-    CoeffReadCost = _MatrixTypeNested::CoeffReadCost,
-#else
     MaskLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
     Flags = (unsigned int)_MatrixTypeNested::Flags & (RowMajorBit | MaskLvalueBit | DirectAccessBit) & ~RowMajorBit, // FIXME DirectAccessBit should not be handled by expressions
-#endif
     MatrixTypeOuterStride = outer_stride_at_compile_time<MatrixType>::ret,
     InnerStrideAtCompileTime = MatrixTypeOuterStride == Dynamic ? Dynamic : MatrixTypeOuterStride+1,
     OuterStrideAtCompileTime = 0

Eigen/src/Core/DiagonalMatrix.h

@@ -45,20 +45,6 @@ class DiagonalBase : public EigenBase<Derived>
     EIGEN_DEVICE_FUNC
     DenseMatrixType toDenseMatrix() const { return derived(); }
     
-#ifndef EIGEN_TEST_EVALUATORS
-    template<typename DenseDerived>
-    EIGEN_DEVICE_FUNC
-    void evalTo(MatrixBase<DenseDerived> &other) const;
-    template<typename DenseDerived>
-    EIGEN_DEVICE_FUNC
-    void addTo(MatrixBase<DenseDerived> &other) const
-    { other.diagonal() += diagonal(); }
-    template<typename DenseDerived>
-    EIGEN_DEVICE_FUNC
-    void subTo(MatrixBase<DenseDerived> &other) const
-    { other.diagonal() -= diagonal(); }
-#endif // EIGEN_TEST_EVALUATORS
-
     EIGEN_DEVICE_FUNC
     inline const DiagonalVectorType& diagonal() const { return derived().diagonal(); }
     EIGEN_DEVICE_FUNC
@@ -69,17 +55,6 @@ class DiagonalBase : public EigenBase<Derived>
     EIGEN_DEVICE_FUNC
     inline Index cols() const { return diagonal().size(); }
 
-#ifndef EIGEN_TEST_EVALUATORS
-    /** \returns the diagonal matrix product of \c *this by the matrix \a matrix.
-      */
-    template<typename MatrixDerived>
-    EIGEN_DEVICE_FUNC
-    const DiagonalProduct<MatrixDerived, Derived, OnTheLeft>
-    operator*(const MatrixBase<MatrixDerived> &matrix) const
-    {
-      return DiagonalProduct<MatrixDerived, Derived, OnTheLeft>(matrix.derived(), derived());
-    }
-#else
     template<typename MatrixDerived>
     EIGEN_DEVICE_FUNC
     const Product<Derived,MatrixDerived,LazyProduct>
@@ -87,7 +62,6 @@ class DiagonalBase : public EigenBase<Derived>
     {
       return Product<Derived, MatrixDerived, LazyProduct>(derived(),matrix.derived());
     }
-#endif // EIGEN_TEST_EVALUATORS
 
     EIGEN_DEVICE_FUNC
     inline const DiagonalWrapper<const CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const DiagonalVectorType> >
@@ -110,16 +84,6 @@ class DiagonalBase : public EigenBase<Derived>
     }
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename Derived>
-template<typename DenseDerived>
-void DiagonalBase<Derived>::evalTo(MatrixBase<DenseDerived> &other) const
-{
-  other.setZero();
-  other.diagonal() = diagonal();
-}
-#endif // EIGEN_TEST_EVALUATORS
-
 #endif
 
 /** \class DiagonalMatrix
@@ -273,10 +237,6 @@ struct traits<DiagonalWrapper<_DiagonalVectorType> >
     MaxRowsAtCompileTime = DiagonalVectorType::MaxSizeAtCompileTime,
     MaxColsAtCompileTime = DiagonalVectorType::MaxSizeAtCompileTime,
     Flags =  (traits<DiagonalVectorType>::Flags & LvalueBit) | NoPreferredStorageOrderBit
-#ifndef EIGEN_TEST_EVALUATORS
-    ,
-    CoeffReadCost = traits<_DiagonalVectorType>::CoeffReadCost
-#endif
   };
 };
 }
@@ -347,7 +307,6 @@ bool MatrixBase<Derived>::isDiagonal(const RealScalar& prec) const
   return true;
 }
 
-#ifdef EIGEN_ENABLE_EVALUATORS
 namespace internal {
 
 template<> struct storage_kind_to_shape<DiagonalShape> { typedef DiagonalShape Shape; };
@@ -368,7 +327,6 @@ struct Assignment<DstXprType, SrcXprType, Functor, Diagonal2Dense, Scalar>
 };
 
 } // namespace internal
-#endif // EIGEN_ENABLE_EVALUATORS
 
 } // end namespace Eigen
 

Eigen/src/Core/DiagonalProduct.h

@@ -13,122 +13,6 @@
 
 namespace Eigen { 
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-template<typename MatrixType, typename DiagonalType, int ProductOrder>
-struct traits<DiagonalProduct<MatrixType, DiagonalType, ProductOrder> >
- : traits<MatrixType>
-{
-  typedef typename scalar_product_traits<typename MatrixType::Scalar, typename DiagonalType::Scalar>::ReturnType Scalar;
-  enum {
-    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
-    ColsAtCompileTime = MatrixType::ColsAtCompileTime,
-    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
-    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
-
-#ifndef EIGEN_TEST_EVALUATORS
-    _StorageOrder = MatrixType::Flags & RowMajorBit ? RowMajor : ColMajor,
-    _ScalarAccessOnDiag =  !((int(_StorageOrder) == ColMajor && int(ProductOrder) == OnTheLeft)
-                          ||(int(_StorageOrder) == RowMajor && int(ProductOrder) == OnTheRight)),
-    _SameTypes = is_same<typename MatrixType::Scalar, typename DiagonalType::Scalar>::value,
-    // FIXME currently we need same types, but in the future the next rule should be the one
-    //_Vectorizable = bool(int(MatrixType::Flags)&PacketAccessBit) && ((!_PacketOnDiag) || (_SameTypes && bool(int(DiagonalType::DiagonalVectorType::Flags)&PacketAccessBit))),
-    _Vectorizable = bool(int(MatrixType::Flags)&PacketAccessBit) && _SameTypes && (_ScalarAccessOnDiag || (bool(int(DiagonalType::DiagonalVectorType::Flags)&PacketAccessBit))),
-    _LinearAccessMask = (RowsAtCompileTime==1 || ColsAtCompileTime==1) ? LinearAccessBit : 0,
-    Flags = ((HereditaryBits|_LinearAccessMask) & (unsigned int)(MatrixType::Flags)) | (_Vectorizable ? PacketAccessBit : 0) | AlignedBit, //(int(MatrixType::Flags)&int(DiagonalType::DiagonalVectorType::Flags)&AlignedBit),
-    CoeffReadCost = NumTraits<Scalar>::MulCost + MatrixType::CoeffReadCost + DiagonalType::DiagonalVectorType::CoeffReadCost
-#else
-    Flags = RowMajorBit & (unsigned int)(MatrixType::Flags)
-#endif
-  };
-};
-}
-
-template<typename MatrixType, typename DiagonalType, int ProductOrder>
-class DiagonalProduct : internal::no_assignment_operator,
-                        public MatrixBase<DiagonalProduct<MatrixType, DiagonalType, ProductOrder> >
-{
-  public:
-
-    typedef MatrixBase<DiagonalProduct> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(DiagonalProduct)
-
-    inline DiagonalProduct(const MatrixType& matrix, const DiagonalType& diagonal)
-      : m_matrix(matrix), m_diagonal(diagonal)
-    {
-      eigen_assert(diagonal.diagonal().size() == (ProductOrder == OnTheLeft ? matrix.rows() : matrix.cols()));
-    }
-
-    EIGEN_STRONG_INLINE Index rows() const { return m_matrix.rows(); }
-    EIGEN_STRONG_INLINE Index cols() const { return m_matrix.cols(); }
-
-    EIGEN_STRONG_INLINE const Scalar coeff(Index row, Index col) const
-    {
-      return m_diagonal.diagonal().coeff(ProductOrder == OnTheLeft ? row : col) * m_matrix.coeff(row, col);
-    }
-    
-    EIGEN_STRONG_INLINE const Scalar coeff(Index idx) const
-    {
-      enum {
-        StorageOrder = int(MatrixType::Flags) & RowMajorBit ? RowMajor : ColMajor
-      };
-      return coeff(int(StorageOrder)==ColMajor?idx:0,int(StorageOrder)==ColMajor?0:idx);
-    }
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const
-    {
-      enum {
-        StorageOrder = Flags & RowMajorBit ? RowMajor : ColMajor
-      };
-      const Index indexInDiagonalVector = ProductOrder == OnTheLeft ? row : col;
-      return packet_impl<LoadMode>(row,col,indexInDiagonalVector,typename internal::conditional<
-        ((int(StorageOrder) == RowMajor && int(ProductOrder) == OnTheLeft)
-       ||(int(StorageOrder) == ColMajor && int(ProductOrder) == OnTheRight)), internal::true_type, internal::false_type>::type());
-    }
-    
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet(Index idx) const
-    {
-      enum {
-        StorageOrder = int(MatrixType::Flags) & RowMajorBit ? RowMajor : ColMajor
-      };
-      return packet<LoadMode>(int(StorageOrder)==ColMajor?idx:0,int(StorageOrder)==ColMajor?0:idx);
-    }
-
-  protected:
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet_impl(Index row, Index col, Index id, internal::true_type) const
-    {
-      return internal::pmul(m_matrix.template packet<LoadMode>(row, col),
-                     internal::pset1<PacketScalar>(m_diagonal.diagonal().coeff(id)));
-    }
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE PacketScalar packet_impl(Index row, Index col, Index id, internal::false_type) const
-    {
-      enum {
-        InnerSize = (MatrixType::Flags & RowMajorBit) ? MatrixType::ColsAtCompileTime : MatrixType::RowsAtCompileTime,
-        DiagonalVectorPacketLoadMode = (LoadMode == Aligned && (((InnerSize%16) == 0) || (int(DiagonalType::DiagonalVectorType::Flags)&AlignedBit)==AlignedBit) ? Aligned : Unaligned)
-      };
-      return internal::pmul(m_matrix.template packet<LoadMode>(row, col),
-                     m_diagonal.diagonal().template packet<DiagonalVectorPacketLoadMode>(id));
-    }
-
-    typename MatrixType::Nested m_matrix;
-    typename DiagonalType::Nested m_diagonal;
-};
-
-/** \returns the diagonal matrix product of \c *this by the diagonal matrix \a diagonal.
-  */
-template<typename Derived>
-template<typename DiagonalDerived>
-inline const DiagonalProduct<Derived, DiagonalDerived, OnTheRight>
-MatrixBase<Derived>::operator*(const DiagonalBase<DiagonalDerived> &a_diagonal) const
-{
-  return DiagonalProduct<Derived, DiagonalDerived, OnTheRight>(derived(), a_diagonal.derived());
-}
-#else // EIGEN_TEST_EVALUATORS
 /** \returns the diagonal matrix product of \c *this by the diagonal matrix \a diagonal.
   */
 template<typename Derived>
@@ -138,7 +22,6 @@ MatrixBase<Derived>::operator*(const DiagonalBase<DiagonalDerived> &a_diagonal)
 {
   return Product<Derived, DiagonalDerived, LazyProduct>(derived(),a_diagonal.derived());
 }
-#endif // EIGEN_TEST_EVALUATORS
 
 } // end namespace Eigen
 

Eigen/src/Core/Dot.h

@@ -113,13 +113,7 @@ template<typename Derived>
 inline const typename MatrixBase<Derived>::PlainObject
 MatrixBase<Derived>::normalized() const
 {
-#ifndef EIGEN_TEST_EVALUATORS
-  typedef typename internal::nested<Derived,2>::type Nested;
-  typedef typename internal::remove_reference<Nested>::type _Nested;
-#else
   typedef typename internal::nested_eval<Derived,2>::type _Nested;
-//   typedef typename internal::remove_reference<Nested>::type _Nested;
-#endif // EIGEN_TEST_EVALUATORS
   _Nested n(derived());
   return n / n.norm();
 }
@@ -211,13 +205,8 @@ template<typename OtherDerived>
 bool MatrixBase<Derived>::isOrthogonal
 (const MatrixBase<OtherDerived>& other, const RealScalar& prec) const
 {
-#ifndef EIGEN_TEST_EVALUATORS
-  typename internal::nested<Derived,2>::type nested(derived());
-  typename internal::nested<OtherDerived,2>::type otherNested(other.derived());
-#else
   typename internal::nested_eval<Derived,2>::type nested(derived());
   typename internal::nested_eval<OtherDerived,2>::type otherNested(other.derived());
-#endif
   return numext::abs2(nested.dot(otherNested)) <= prec * prec * nested.squaredNorm() * otherNested.squaredNorm();
 }
 

Eigen/src/Core/EigenBase.h

@@ -121,11 +121,7 @@ template<typename Derived>
 template<typename OtherDerived>
 Derived& DenseBase<Derived>::operator=(const EigenBase<OtherDerived> &other)
 {
-#ifndef EIGEN_TEST_EVALUATORS
-  other.derived().evalTo(derived());
-#else
   call_assignment(derived(), other.derived());
-#endif
   return derived();
 }
 
@@ -133,11 +129,7 @@ template<typename Derived>
 template<typename OtherDerived>
 Derived& DenseBase<Derived>::operator+=(const EigenBase<OtherDerived> &other)
 {
-#ifndef EIGEN_TEST_EVALUATORS
-  other.derived().addTo(derived());
-#else
   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar>());
-#endif
   return derived();
 }
 
@@ -145,11 +137,7 @@ template<typename Derived>
 template<typename OtherDerived>
 Derived& DenseBase<Derived>::operator-=(const EigenBase<OtherDerived> &other)
 {
-#ifndef EIGEN_TEST_EVALUATORS
-  other.derived().subTo(derived());
-#else
   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar>());
-#endif
   return derived();
 }
 

Eigen/src/Core/Fuzzy.h

@@ -23,13 +23,8 @@ struct isApprox_selector
   static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
   {
     EIGEN_USING_STD_MATH(min);
-#ifdef EIGEN_TEST_EVALUATORS
     typename internal::nested_eval<Derived,2>::type nested(x);
     typename internal::nested_eval<OtherDerived,2>::type otherNested(y);
-#else
-    typename internal::nested<Derived,2>::type nested(x);
-    typename internal::nested<OtherDerived,2>::type otherNested(y);
-#endif
     return (nested - otherNested).cwiseAbs2().sum() <= prec * prec * (min)(nested.cwiseAbs2().sum(), otherNested.cwiseAbs2().sum());
   }
 };

Eigen/src/Core/GeneralProduct.h

@@ -13,31 +13,6 @@
 
 namespace Eigen { 
 
-#ifndef EIGEN_TEST_EVALUATORS
-/** \class GeneralProduct
-  * \ingroup Core_Module
-  *
-  * \brief Expression of the product of two general matrices or vectors
-  *
-  * \param LhsNested the type used to store the left-hand side
-  * \param RhsNested the type used to store the right-hand side
-  * \param ProductMode the type of the product
-  *
-  * This class represents an expression of the product of two general matrices.
-  * We call a general matrix, a dense matrix with full storage. For instance,
-  * This excludes triangular, selfadjoint, and sparse matrices.
-  * It is the return type of the operator* between general matrices. Its template
-  * arguments are determined automatically by ProductReturnType. Therefore,
-  * GeneralProduct should never be used direclty. To determine the result type of a
-  * function which involves a matrix product, use ProductReturnType::Type.
-  *
-  * \sa ProductReturnType, MatrixBase::operator*(const MatrixBase<OtherDerived>&)
-  */
-template<typename Lhs, typename Rhs, int ProductType = internal::product_type<Lhs,Rhs>::value>
-class GeneralProduct;
-#endif // EIGEN_TEST_EVALUATORS
-
-
 enum {
   Large = 2,
   Small = 3
@@ -156,56 +131,6 @@ template<>              struct product_type_selector<Large,Large,Small>  { enum
 
 } // end namespace internal
 
-#ifndef EIGEN_TEST_EVALUATORS
-/** \class ProductReturnType
-  * \ingroup Core_Module
-  *
-  * \brief Helper class to get the correct and optimized returned type of operator*
-  *
-  * \param Lhs the type of the left-hand side
-  * \param Rhs the type of the right-hand side
-  * \param ProductMode the type of the product (determined automatically by internal::product_mode)
-  *
-  * This class defines the typename Type representing the optimized product expression
-  * between two matrix expressions. In practice, using ProductReturnType<Lhs,Rhs>::Type
-  * is the recommended way to define the result type of a function returning an expression
-  * which involve a matrix product. The class Product should never be
-  * used directly.
-  *
-  * \sa class Product, MatrixBase::operator*(const MatrixBase<OtherDerived>&)
-  */
-template<typename Lhs, typename Rhs, int ProductType>
-struct ProductReturnType
-{
-  // TODO use the nested type to reduce instanciations ????
-//   typedef typename internal::nested<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
-//   typedef typename internal::nested<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
-
-  typedef GeneralProduct<Lhs/*Nested*/, Rhs/*Nested*/, ProductType> Type;
-};
-
-template<typename Lhs, typename Rhs>
-struct ProductReturnType<Lhs,Rhs,CoeffBasedProductMode>
-{
-  typedef typename internal::nested<Lhs, Rhs::ColsAtCompileTime, typename internal::plain_matrix_type<Lhs>::type >::type LhsNested;
-  typedef typename internal::nested<Rhs, Lhs::RowsAtCompileTime, typename internal::plain_matrix_type<Rhs>::type >::type RhsNested;
-  typedef CoeffBasedProduct<LhsNested, RhsNested, EvalBeforeAssigningBit | EvalBeforeNestingBit> Type;
-};
-
-template<typename Lhs, typename Rhs>
-struct ProductReturnType<Lhs,Rhs,LazyCoeffBasedProductMode>
-{
-  typedef typename internal::nested<Lhs, Rhs::ColsAtCompileTime, typename internal::plain_matrix_type<Lhs>::type >::type LhsNested;
-  typedef typename internal::nested<Rhs, Lhs::RowsAtCompileTime, typename internal::plain_matrix_type<Rhs>::type >::type RhsNested;
-  typedef CoeffBasedProduct<LhsNested, RhsNested, NestByRefBit> Type;
-};
-
-// this is a workaround for sun CC
-template<typename Lhs, typename Rhs>
-struct LazyProductReturnType : public ProductReturnType<Lhs,Rhs,LazyCoeffBasedProductMode>
-{};
-#endif
-
 /***********************************************************************
 *  Implementation of Inner Vector Vector Product
 ***********************************************************************/
@@ -216,124 +141,11 @@ struct LazyProductReturnType : public ProductReturnType<Lhs,Rhs,LazyCoeffBasedPr
 // Cons: this could be a problem if in a meta unrolled algorithm a matrix-matrix
 // product ends up to a row-vector times col-vector product... To tackle this use
 // case, we could have a specialization for Block<MatrixType,1,1> with: operator=(Scalar x);
-#ifndef EIGEN_TEST_EVALUATORS
 
-namespace internal {
-
-template<typename Lhs, typename Rhs>
-struct traits<GeneralProduct<Lhs,Rhs,InnerProduct> >
- : traits<Matrix<typename scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType,1,1> >
-{};
-
-}
-
-template<typename Lhs, typename Rhs>
-class GeneralProduct<Lhs, Rhs, InnerProduct>
-  : internal::no_assignment_operator,
-    public Matrix<typename internal::scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType,1,1>
-{
-    typedef Matrix<typename internal::scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType,1,1> Base;
-  public:
-    GeneralProduct(const Lhs& lhs, const Rhs& rhs)
-    {
-      EIGEN_STATIC_ASSERT((internal::is_same<typename Lhs::RealScalar, typename Rhs::RealScalar>::value),
-        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-
-      Base::coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
-    }
-
-    /** Convertion to scalar */
-    operator const typename Base::Scalar() const {
-      return Base::coeff(0,0);
-    }
-};
-#endif // EIGEN_TEST_EVALUATORS
 /***********************************************************************
 *  Implementation of Outer Vector Vector Product
 ***********************************************************************/
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-
-// Column major
-template<typename ProductType, typename Dest, typename Func>
-EIGEN_DONT_INLINE void outer_product_selector_run(const ProductType& prod, Dest& dest, const Func& func, const false_type&)
-{
-  typedef typename Dest::Index Index;
-  // FIXME make sure lhs is sequentially stored
-  // FIXME not very good if rhs is real and lhs complex while alpha is real too
-  const Index cols = dest.cols();
-  for (Index j=0; j<cols; ++j)
-    func(dest.col(j), prod.rhs().coeff(0,j) * prod.lhs());
-}
-
-// Row major
-template<typename ProductType, typename Dest, typename Func>
-EIGEN_DONT_INLINE void outer_product_selector_run(const ProductType& prod, Dest& dest, const Func& func, const true_type&) {
-  typedef typename Dest::Index Index;
-  // FIXME make sure rhs is sequentially stored
-  // FIXME not very good if lhs is real and rhs complex while alpha is real too
-  const Index rows = dest.rows();
-  for (Index i=0; i<rows; ++i)
-    func(dest.row(i), prod.lhs().coeff(i,0) * prod.rhs());
-}
-
-template<typename Lhs, typename Rhs>
-struct traits<GeneralProduct<Lhs,Rhs,OuterProduct> >
- : traits<ProductBase<GeneralProduct<Lhs,Rhs,OuterProduct>, Lhs, Rhs> >
-{};
-
-}
-
-template<typename Lhs, typename Rhs>
-class GeneralProduct<Lhs, Rhs, OuterProduct>
-  : public ProductBase<GeneralProduct<Lhs,Rhs,OuterProduct>, Lhs, Rhs>
-{
-    template<typename T> struct IsRowMajor : internal::conditional<(int(T::Flags)&RowMajorBit), internal::true_type, internal::false_type>::type {};
-    
-  public:
-    EIGEN_PRODUCT_PUBLIC_INTERFACE(GeneralProduct)
-
-    GeneralProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
-    {
-      EIGEN_STATIC_ASSERT((internal::is_same<typename Lhs::RealScalar, typename Rhs::RealScalar>::value),
-        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-    }
-    
-    struct set  { template<typename Dst, typename Src> void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived()  = src; } };
-    struct add  { template<typename Dst, typename Src> void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived() += src; } };
-    struct sub  { template<typename Dst, typename Src> void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived() -= src; } };
-    struct adds {
-      Scalar m_scale;
-      adds(const Scalar& s) : m_scale(s) {}
-      template<typename Dst, typename Src> void operator()(const Dst& dst, const Src& src) const {
-        dst.const_cast_derived() += m_scale * src;
-      }
-    };
-    
-    template<typename Dest>
-    inline void evalTo(Dest& dest) const {
-      internal::outer_product_selector_run(*this, dest, set(), IsRowMajor<Dest>());
-    }
-    
-    template<typename Dest>
-    inline void addTo(Dest& dest) const {
-      internal::outer_product_selector_run(*this, dest, add(), IsRowMajor<Dest>());
-    }
-
-    template<typename Dest>
-    inline void subTo(Dest& dest) const {
-      internal::outer_product_selector_run(*this, dest, sub(), IsRowMajor<Dest>());
-    }
-
-    template<typename Dest> void scaleAndAddTo(Dest& dest, const Scalar& alpha) const
-    {
-      internal::outer_product_selector_run(*this, dest, adds(alpha), IsRowMajor<Dest>());
-    }
-};
-
-#endif // EIGEN_TEST_EVALUATORS
-
 /***********************************************************************
 *  Implementation of General Matrix Vector Product
 ***********************************************************************/
@@ -347,50 +159,11 @@ class GeneralProduct<Lhs, Rhs, OuterProduct>
  */
 namespace internal {
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename Lhs, typename Rhs>
-struct traits<GeneralProduct<Lhs,Rhs,GemvProduct> >
- : traits<ProductBase<GeneralProduct<Lhs,Rhs,GemvProduct>, Lhs, Rhs> >
-{};
-template<int Side, int StorageOrder, bool BlasCompatible>
-struct gemv_selector;
-#endif
-#ifdef EIGEN_ENABLE_EVALUATORS
 template<int Side, int StorageOrder, bool BlasCompatible>
 struct gemv_dense_sense_selector;
-#endif
 
 } // end namespace internal
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename Lhs, typename Rhs>
-class GeneralProduct<Lhs, Rhs, GemvProduct>
-  : public ProductBase<GeneralProduct<Lhs,Rhs,GemvProduct>, Lhs, Rhs>
-{
-  public:
-    EIGEN_PRODUCT_PUBLIC_INTERFACE(GeneralProduct)
-
-    typedef typename Lhs::Scalar LhsScalar;
-    typedef typename Rhs::Scalar RhsScalar;
-
-    GeneralProduct(const Lhs& a_lhs, const Rhs& a_rhs) : Base(a_lhs,a_rhs)
-    {
-//       EIGEN_STATIC_ASSERT((internal::is_same<typename Lhs::Scalar, typename Rhs::Scalar>::value),
-//         YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-    }
-
-    enum { Side = Lhs::IsVectorAtCompileTime ? OnTheLeft : OnTheRight };
-    typedef typename internal::conditional<int(Side)==OnTheRight,_LhsNested,_RhsNested>::type MatrixType;
-
-    template<typename Dest> void scaleAndAddTo(Dest& dst, const Scalar& alpha) const
-    {
-      eigen_assert(m_lhs.rows() == dst.rows() && m_rhs.cols() == dst.cols());
-      internal::gemv_selector<Side,(int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
-                       bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)>::run(*this, dst, alpha);
-    }
-};
-#endif
-
 namespace internal {
 
 template<typename Scalar,int Size,int MaxSize,bool Cond> struct gemv_static_vector_if;
@@ -429,177 +202,6 @@ struct gemv_static_vector_if<Scalar,Size,MaxSize,true>
   #endif
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-
-// The vector is on the left => transposition
-template<int StorageOrder, bool BlasCompatible>
-struct gemv_selector<OnTheLeft,StorageOrder,BlasCompatible>
-{
-  template<typename ProductType, typename Dest>
-  static void run(const ProductType& prod, Dest& dest, const typename ProductType::Scalar& alpha)
-  {
-    Transpose<Dest> destT(dest);
-    enum { OtherStorageOrder = StorageOrder == RowMajor ? ColMajor : RowMajor };
-    gemv_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
-      ::run(GeneralProduct<Transpose<const typename ProductType::_RhsNested>,Transpose<const typename ProductType::_LhsNested>, GemvProduct>
-        (prod.rhs().transpose(), prod.lhs().transpose()), destT, alpha);
-  }
-};
-
-template<> struct gemv_selector<OnTheRight,ColMajor,true>
-{
-  template<typename ProductType, typename Dest>
-  static inline void run(const ProductType& prod, Dest& dest, const typename ProductType::Scalar& alpha)
-  {
-    typedef typename ProductType::Index Index;
-    typedef typename ProductType::LhsScalar   LhsScalar;
-    typedef typename ProductType::RhsScalar   RhsScalar;
-    typedef typename ProductType::Scalar      ResScalar;
-    typedef typename ProductType::RealScalar  RealScalar;
-    typedef typename ProductType::ActualLhsType ActualLhsType;
-    typedef typename ProductType::ActualRhsType ActualRhsType;
-    typedef typename ProductType::LhsBlasTraits LhsBlasTraits;
-    typedef typename ProductType::RhsBlasTraits RhsBlasTraits;
-    typedef Map<Matrix<ResScalar,Dynamic,1>, Aligned> MappedDest;
-
-    ActualLhsType actualLhs = LhsBlasTraits::extract(prod.lhs());
-    ActualRhsType actualRhs = RhsBlasTraits::extract(prod.rhs());
-
-    ResScalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs())
-                                  * RhsBlasTraits::extractScalarFactor(prod.rhs());
-
-    enum {
-      // FIXME find a way to allow an inner stride on the result if packet_traits<Scalar>::size==1
-      // on, the other hand it is good for the cache to pack the vector anyways...
-      EvalToDestAtCompileTime = Dest::InnerStrideAtCompileTime==1,
-      ComplexByReal = (NumTraits<LhsScalar>::IsComplex) && (!NumTraits<RhsScalar>::IsComplex),
-      MightCannotUseDest = (Dest::InnerStrideAtCompileTime!=1) || ComplexByReal
-    };
-
-    gemv_static_vector_if<ResScalar,Dest::SizeAtCompileTime,Dest::MaxSizeAtCompileTime,MightCannotUseDest> static_dest;
-
-    bool alphaIsCompatible = (!ComplexByReal) || (numext::imag(actualAlpha)==RealScalar(0));
-    bool evalToDest = EvalToDestAtCompileTime && alphaIsCompatible;
-    
-    RhsScalar compatibleAlpha = get_factor<ResScalar,RhsScalar>::run(actualAlpha);
-
-    ei_declare_aligned_stack_constructed_variable(ResScalar,actualDestPtr,dest.size(),
-                                                  evalToDest ? dest.data() : static_dest.data());
-    
-    if(!evalToDest)
-    {
-      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      Index size = dest.size();
-      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      #endif
-      if(!alphaIsCompatible)
-      {
-        MappedDest(actualDestPtr, dest.size()).setZero();
-        compatibleAlpha = RhsScalar(1);
-      }
-      else
-        MappedDest(actualDestPtr, dest.size()) = dest;
-    }
-
-    general_matrix_vector_product
-      <Index,LhsScalar,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsBlasTraits::NeedToConjugate>::run(
-        actualLhs.rows(), actualLhs.cols(),
-        actualLhs.data(), actualLhs.outerStride(),
-        actualRhs.data(), actualRhs.innerStride(),
-        actualDestPtr, 1,
-        compatibleAlpha);
-
-    if (!evalToDest)
-    {
-      if(!alphaIsCompatible)
-        dest += actualAlpha * MappedDest(actualDestPtr, dest.size());
-      else
-        dest = MappedDest(actualDestPtr, dest.size());
-    }
-  }
-};
-
-template<> struct gemv_selector<OnTheRight,RowMajor,true>
-{
-  template<typename ProductType, typename Dest>
-  static void run(const ProductType& prod, Dest& dest, const typename ProductType::Scalar& alpha)
-  {
-    typedef typename ProductType::LhsScalar LhsScalar;
-    typedef typename ProductType::RhsScalar RhsScalar;
-    typedef typename ProductType::Scalar    ResScalar;
-    typedef typename ProductType::Index Index;
-    typedef typename ProductType::ActualLhsType ActualLhsType;
-    typedef typename ProductType::ActualRhsType ActualRhsType;
-    typedef typename ProductType::_ActualRhsType _ActualRhsType;
-    typedef typename ProductType::LhsBlasTraits LhsBlasTraits;
-    typedef typename ProductType::RhsBlasTraits RhsBlasTraits;
-
-    typename add_const<ActualLhsType>::type actualLhs = LhsBlasTraits::extract(prod.lhs());
-    typename add_const<ActualRhsType>::type actualRhs = RhsBlasTraits::extract(prod.rhs());
-
-    ResScalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs())
-                                  * RhsBlasTraits::extractScalarFactor(prod.rhs());
-
-    enum {
-      // FIXME find a way to allow an inner stride on the result if packet_traits<Scalar>::size==1
-      // on, the other hand it is good for the cache to pack the vector anyways...
-      DirectlyUseRhs = _ActualRhsType::InnerStrideAtCompileTime==1
-    };
-
-    gemv_static_vector_if<RhsScalar,_ActualRhsType::SizeAtCompileTime,_ActualRhsType::MaxSizeAtCompileTime,!DirectlyUseRhs> static_rhs;
-
-    ei_declare_aligned_stack_constructed_variable(RhsScalar,actualRhsPtr,actualRhs.size(),
-        DirectlyUseRhs ? const_cast<RhsScalar*>(actualRhs.data()) : static_rhs.data());
-
-    if(!DirectlyUseRhs)
-    {
-      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      Index size = actualRhs.size();
-      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      #endif
-      Map<typename _ActualRhsType::PlainObject>(actualRhsPtr, actualRhs.size()) = actualRhs;
-    }
-
-    general_matrix_vector_product
-      <Index,LhsScalar,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsBlasTraits::NeedToConjugate>::run(
-        actualLhs.rows(), actualLhs.cols(),
-        actualLhs.data(), actualLhs.outerStride(),
-        actualRhsPtr, 1,
-        dest.data(), dest.innerStride(),
-        actualAlpha);
-  }
-};
-
-template<> struct gemv_selector<OnTheRight,ColMajor,false>
-{
-  template<typename ProductType, typename Dest>
-  static void run(const ProductType& prod, Dest& dest, const typename ProductType::Scalar& alpha)
-  {
-    typedef typename Dest::Index Index;
-    // TODO makes sure dest is sequentially stored in memory, otherwise use a temp
-    const Index size = prod.rhs().rows();
-    for(Index k=0; k<size; ++k)
-      dest += (alpha*prod.rhs().coeff(k)) * prod.lhs().col(k);
-  }
-};
-
-template<> struct gemv_selector<OnTheRight,RowMajor,false>
-{
-  template<typename ProductType, typename Dest>
-  static void run(const ProductType& prod, Dest& dest, const typename ProductType::Scalar& alpha)
-  {
-    typedef typename Dest::Index Index;
-    // TODO makes sure rhs is sequentially stored in memory, otherwise use a temp
-    const Index rows = prod.rows();
-    for(Index i=0; i<rows; ++i)
-      dest.coeffRef(i) += alpha * (prod.lhs().row(i).cwiseProduct(prod.rhs().transpose())).sum();
-  }
-};
-
-#endif // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_ENABLE_EVALUATORS
-
 // The vector is on the left => transposition
 template<int StorageOrder, bool BlasCompatible>
 struct gemv_dense_sense_selector<OnTheLeft,StorageOrder,BlasCompatible>
@@ -767,8 +369,6 @@ template<> struct gemv_dense_sense_selector<OnTheRight,RowMajor,false>
   }
 };
 
-#endif // EIGEN_ENABLE_EVALUATORS
-
 } // end namespace internal
 
 /***************************************************************************
@@ -783,7 +383,6 @@ template<> struct gemv_dense_sense_selector<OnTheRight,RowMajor,false>
   */
 #ifndef __CUDACC__
 
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename Derived>
 template<typename OtherDerived>
 inline const Product<Derived, OtherDerived>
@@ -814,37 +413,6 @@ MatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
   
   return Product<Derived, OtherDerived>(derived(), other.derived());
 }
-#else // EIGEN_TEST_EVALUATORS
-template<typename Derived>
-template<typename OtherDerived>
-inline const typename ProductReturnType<Derived, OtherDerived>::Type
-MatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
-{
-  // A note regarding the function declaration: In MSVC, this function will sometimes
-  // not be inlined since DenseStorage is an unwindable object for dynamic
-  // matrices and product types are holding a member to store the result.
-  // Thus it does not help tagging this function with EIGEN_STRONG_INLINE.
-  enum {
-    ProductIsValid =  Derived::ColsAtCompileTime==Dynamic
-                   || OtherDerived::RowsAtCompileTime==Dynamic
-                   || int(Derived::ColsAtCompileTime)==int(OtherDerived::RowsAtCompileTime),
-    AreVectors = Derived::IsVectorAtCompileTime && OtherDerived::IsVectorAtCompileTime,
-    SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(Derived,OtherDerived)
-  };
-  // note to the lost user:
-  //    * for a dot product use: v1.dot(v2)
-  //    * for a coeff-wise product use: v1.cwiseProduct(v2)
-  EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),
-    INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS)
-  EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),
-    INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)
-  EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)
-#ifdef EIGEN_DEBUG_PRODUCT
-  internal::product_type<Derived,OtherDerived>::debug();
-#endif
-  return typename ProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
-}
-#endif // EIGEN_TEST_EVALUATORS
 
 #endif // __CUDACC__
 
@@ -859,7 +427,6 @@ MatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
   *
   * \sa operator*(const MatrixBase&)
   */
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename Derived>
 template<typename OtherDerived>
 const Product<Derived,OtherDerived,LazyProduct>
@@ -883,31 +450,6 @@ MatrixBase<Derived>::lazyProduct(const MatrixBase<OtherDerived> &other) const
 
   return Product<Derived,OtherDerived,LazyProduct>(derived(), other.derived());
 }
-#else // EIGEN_TEST_EVALUATORS
-template<typename Derived>
-template<typename OtherDerived>
-const typename LazyProductReturnType<Derived,OtherDerived>::Type
-MatrixBase<Derived>::lazyProduct(const MatrixBase<OtherDerived> &other) const
-{
-  enum {
-    ProductIsValid =  Derived::ColsAtCompileTime==Dynamic
-                   || OtherDerived::RowsAtCompileTime==Dynamic
-                   || int(Derived::ColsAtCompileTime)==int(OtherDerived::RowsAtCompileTime),
-    AreVectors = Derived::IsVectorAtCompileTime && OtherDerived::IsVectorAtCompileTime,
-    SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(Derived,OtherDerived)
-  };
-  // note to the lost user:
-  //    * for a dot product use: v1.dot(v2)
-  //    * for a coeff-wise product use: v1.cwiseProduct(v2)
-  EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),
-    INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS)
-  EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),
-    INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)
-  EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)
-
-  return typename LazyProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
-}
-#endif // EIGEN_TEST_EVALUATORS
 
 } // end namespace Eigen
 

Eigen/src/Core/Inverse.h

@@ -12,8 +12,6 @@
 
 namespace Eigen { 
 
-#ifdef EIGEN_TEST_EVALUATORS
-
 // TODO move the general declaration in Core, and rename this file DenseInverseImpl.h, or something like this...
 
 template<typename XprType,typename StorageKind> class InverseImpl;
@@ -127,8 +125,6 @@ protected:
   
 } // end namespace internal
 
-#endif
-
 } // end namespace Eigen
 
 #endif // EIGEN_INVERSE_H

Eigen/src/Core/Map.h

@@ -80,26 +80,8 @@ struct traits<Map<PlainObjectType, MapOptions, StrideType> >
                              ? int(PlainObjectType::OuterStrideAtCompileTime)
                              : int(StrideType::OuterStrideAtCompileTime),
     IsAligned = bool(EIGEN_ALIGN) && ((int(MapOptions)&Aligned)==Aligned),
-#ifndef EIGEN_TEST_EVALUATORS
-    HasNoInnerStride = InnerStrideAtCompileTime == 1,
-    HasNoOuterStride = StrideType::OuterStrideAtCompileTime == 0,
-    HasNoStride = HasNoInnerStride && HasNoOuterStride,
-    IsDynamicSize = PlainObjectType::SizeAtCompileTime==Dynamic,
-    KeepsPacketAccess = bool(HasNoInnerStride)
-                        && ( bool(IsDynamicSize)
-                           || HasNoOuterStride
-                           || ( OuterStrideAtCompileTime!=Dynamic
-                           && ((static_cast<int>(sizeof(Scalar))*OuterStrideAtCompileTime)%EIGEN_ALIGN_BYTES)==0 ) ),
-    Flags0 = TraitsBase::Flags & (~NestByRefBit),
-    Flags1 = IsAligned ? (int(Flags0) | AlignedBit) : (int(Flags0) & ~AlignedBit),
-    Flags2 = (bool(HasNoStride) || bool(PlainObjectType::IsVectorAtCompileTime))
-           ? int(Flags1) : int(Flags1 & ~LinearAccessBit),
-    Flags3 = is_lvalue<PlainObjectType>::value ? int(Flags2) : (int(Flags2) & ~LvalueBit),
-    Flags = KeepsPacketAccess ? int(Flags3) : (int(Flags3) & ~PacketAccessBit)
-#else
     Flags0 = TraitsBase::Flags & (~NestByRefBit),
     Flags = is_lvalue<PlainObjectType>::value ? int(Flags0) : (int(Flags0) & ~LvalueBit)
-#endif
   };
 private:
   enum { Options }; // Expressions don't have Options

Eigen/src/Core/MapBase.h

@@ -11,15 +11,9 @@
 #ifndef EIGEN_MAPBASE_H
 #define EIGEN_MAPBASE_H
 
-#ifndef EIGEN_TEST_EVALUATORS
-#define EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived) \
-      EIGEN_STATIC_ASSERT((int(internal::traits<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
-                          YOU_ARE_TRYING_TO_USE_AN_INDEX_BASED_ACCESSOR_ON_AN_EXPRESSION_THAT_DOES_NOT_SUPPORT_THAT)
-#else
 #define EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived) \
       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
                           YOU_ARE_TRYING_TO_USE_AN_INDEX_BASED_ACCESSOR_ON_AN_EXPRESSION_THAT_DOES_NOT_SUPPORT_THAT)
-#endif
 
 namespace Eigen { 
 
@@ -167,15 +161,7 @@ template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
     EIGEN_DEVICE_FUNC
     void checkSanity() const
     {
-#ifndef EIGEN_TEST_EVALUATORS
-      // moved to evaluator
-      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(internal::traits<Derived>::Flags&PacketAccessBit,
-                                        internal::inner_stride_at_compile_time<Derived>::ret==1),
-                          PACKET_ACCESS_REQUIRES_TO_HAVE_INNER_STRIDE_FIXED_TO_1);
-      eigen_assert(EIGEN_IMPLIES(internal::traits<Derived>::Flags&AlignedBit, (size_t(m_data) % EIGEN_ALIGN_BYTES) == 0) && "data is not aligned");
-#else
       eigen_assert(EIGEN_IMPLIES(internal::traits<Derived>::IsAligned, (size_t(m_data) % EIGEN_ALIGN_BYTES) == 0) && "data is not aligned");
-#endif
     }
 
     PointerType m_data;

Eigen/src/Core/Matrix.h

@@ -115,12 +115,8 @@ struct traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
     MaxRowsAtCompileTime = _MaxRows,
     MaxColsAtCompileTime = _MaxCols,
     Flags = compute_matrix_flags<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::ret,
-#ifndef EIGEN_TEST_EVALUATORS
-    CoeffReadCost = NumTraits<Scalar>::ReadCost,
-#else
     // FIXME, the following flag in only used to define NeedsToAlign in PlainObjectBase
     EvaluatorFlags = compute_matrix_evaluator_flags<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::ret,
-#endif
     Options = _Options,
     InnerStrideAtCompileTime = 1,
     OuterStrideAtCompileTime = (Options&RowMajor) ? ColsAtCompileTime : RowsAtCompileTime

Eigen/src/Core/MatrixBase.h

@@ -66,9 +66,6 @@ template<typename Derived> class MatrixBase
     using Base::MaxSizeAtCompileTime;
     using Base::IsVectorAtCompileTime;
     using Base::Flags;
-#ifndef EIGEN_TEST_EVALUATORS
-    using Base::CoeffReadCost;
-#endif
     
     using Base::derived;
     using Base::const_cast_derived;
@@ -188,25 +185,15 @@ template<typename Derived> class MatrixBase
     { return this->lazyProduct(other); }
 #else
 
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename OtherDerived>
     const Product<Derived,OtherDerived>
     operator*(const MatrixBase<OtherDerived> &other) const;
-#else
-    template<typename OtherDerived>
-    const typename ProductReturnType<Derived,OtherDerived>::Type
-    operator*(const MatrixBase<OtherDerived> &other) const;
-#endif
 
 #endif
 
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC 
-#ifdef EIGEN_TEST_EVALUATORS
     const Product<Derived,OtherDerived,LazyProduct>
-#else
-    const typename LazyProductReturnType<Derived,OtherDerived>::Type
-#endif
     lazyProduct(const MatrixBase<OtherDerived> &other) const;
 
     template<typename OtherDerived>
@@ -218,17 +205,10 @@ template<typename Derived> class MatrixBase
     template<typename OtherDerived>
     void applyOnTheRight(const EigenBase<OtherDerived>& other);
 
-#ifndef EIGEN_TEST_EVALUATORS
-    template<typename DiagonalDerived>
-    EIGEN_DEVICE_FUNC
-    const DiagonalProduct<Derived, DiagonalDerived, OnTheRight>
-    operator*(const DiagonalBase<DiagonalDerived> &diagonal) const;
-#else // EIGEN_TEST_EVALUATORS
     template<typename DiagonalDerived>
     EIGEN_DEVICE_FUNC
     const Product<Derived, DiagonalDerived, LazyProduct>
     operator*(const DiagonalBase<DiagonalDerived> &diagonal) const;
-#endif // EIGEN_TEST_EVALUATORS
 
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
@@ -347,19 +327,12 @@ template<typename Derived> class MatrixBase
 
     NoAlias<Derived,Eigen::MatrixBase > noalias();
 
-#ifndef EIGEN_TEST_EVALUATORS
-    inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;
-    inline ForceAlignedAccess<Derived> forceAlignedAccess();
-    template<bool Enable> inline typename internal::add_const_on_value_type<typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type>::type forceAlignedAccessIf() const;
-    template<bool Enable> inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf();
-#else
     // TODO forceAlignedAccess is temporarly disabled
     // Need to find a nicer workaround.
     inline const Derived& forceAlignedAccess() const { return derived(); }
     inline Derived& forceAlignedAccess() { return derived(); }
     template<bool Enable> inline const Derived& forceAlignedAccessIf() const { return derived(); }
     template<bool Enable> inline Derived& forceAlignedAccessIf() { return derived(); }
-#endif
 
     Scalar trace() const;
 
@@ -382,13 +355,9 @@ template<typename Derived> class MatrixBase
 
     const PartialPivLU<PlainObject> lu() const;
 
-    #ifdef EIGEN_TEST_EVALUATORS
     EIGEN_DEVICE_FUNC
     const Inverse<Derived> inverse() const;
-    #else
+    
-    EIGEN_DEVICE_FUNC
-    const internal::inverse_impl<Derived> inverse() const;
-    #endif
     template<typename ResultType>
     void computeInverseAndDetWithCheck(
       ResultType& inverse,

Eigen/src/Core/NoAlias.h

@@ -35,7 +35,6 @@ class NoAlias
     
     NoAlias(ExpressionType& expression) : m_expression(expression) {}
     
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE ExpressionType& operator=(const StorageBase<OtherDerived>& other)
@@ -59,68 +58,6 @@ class NoAlias
       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar>());
       return m_expression;
     }
-    
-#else
-
-    /** Behaves like MatrixBase::lazyAssign(other)
-      * \sa MatrixBase::lazyAssign() */
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE ExpressionType& operator=(const StorageBase<OtherDerived>& other)
-    { return internal::assign_selector<ExpressionType,OtherDerived,false>::run(m_expression,other.derived()); }
-
-    /** \sa MatrixBase::operator+= */
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE ExpressionType& operator+=(const StorageBase<OtherDerived>& other)
-    {
-      typedef SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, ExpressionType, OtherDerived> SelfAdder;
-      SelfAdder tmp(m_expression);
-      typedef typename internal::nested<OtherDerived>::type OtherDerivedNested;
-      typedef typename internal::remove_all<OtherDerivedNested>::type _OtherDerivedNested;
-      internal::assign_selector<SelfAdder,_OtherDerivedNested,false>::run(tmp,OtherDerivedNested(other.derived()));
-      return m_expression;
-    }
-
-    /** \sa MatrixBase::operator-= */
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE ExpressionType& operator-=(const StorageBase<OtherDerived>& other)
-    {
-      typedef SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, ExpressionType, OtherDerived> SelfAdder;
-      SelfAdder tmp(m_expression);
-      typedef typename internal::nested<OtherDerived>::type OtherDerivedNested;
-      typedef typename internal::remove_all<OtherDerivedNested>::type _OtherDerivedNested;
-      internal::assign_selector<SelfAdder,_OtherDerivedNested,false>::run(tmp,OtherDerivedNested(other.derived()));
-      return m_expression;
-    }
-
-#ifndef EIGEN_PARSED_BY_DOXYGEN
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE ExpressionType& operator+=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
-    { other.derived().addTo(m_expression); return m_expression; }
-
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE ExpressionType& operator-=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
-    { other.derived().subTo(m_expression); return m_expression; }
-
-    template<typename Lhs, typename Rhs, int NestingFlags>
-    EIGEN_STRONG_INLINE ExpressionType& operator+=(const CoeffBasedProduct<Lhs,Rhs,NestingFlags>& other)
-    { return m_expression.derived() += CoeffBasedProduct<Lhs,Rhs,NestByRefBit>(other.lhs(), other.rhs()); }
-
-    template<typename Lhs, typename Rhs, int NestingFlags>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE ExpressionType& operator-=(const CoeffBasedProduct<Lhs,Rhs,NestingFlags>& other)
-    { return m_expression.derived() -= CoeffBasedProduct<Lhs,Rhs,NestByRefBit>(other.lhs(), other.rhs()); }
-    
-    template<typename OtherDerived>
-    ExpressionType& operator=(const ReturnByValue<OtherDerived>& func)
-    { return m_expression = func; }
-#endif
-
-#endif
 
     EIGEN_DEVICE_FUNC
     ExpressionType& expression() const

Eigen/src/Core/PermutationMatrix.h

@@ -61,9 +61,6 @@ class PermutationBase : public EigenBase<Derived>
     typedef typename Traits::IndicesType IndicesType;
     enum {
       Flags = Traits::Flags,
-#ifndef EIGEN_TEST_EVALUATORS
-      CoeffReadCost = Traits::CoeffReadCost,
-#endif
       RowsAtCompileTime = Traits::RowsAtCompileTime,
       ColsAtCompileTime = Traits::ColsAtCompileTime,
       MaxRowsAtCompileTime = Traits::MaxRowsAtCompileTime,
@@ -291,9 +288,7 @@ class PermutationMatrix : public PermutationBase<PermutationMatrix<SizeAtCompile
     typedef internal::traits<PermutationMatrix> Traits;
   public:
 
-#ifdef EIGEN_TEST_EVALUATORS
     typedef const PermutationMatrix& Nested;
-#endif
 
     #ifndef EIGEN_PARSED_BY_DOXYGEN
     typedef typename Traits::IndicesType IndicesType;
@@ -484,18 +479,9 @@ struct traits<PermutationWrapper<_IndicesType> >
   enum {
     RowsAtCompileTime = _IndicesType::SizeAtCompileTime,
     ColsAtCompileTime = _IndicesType::SizeAtCompileTime,
-#ifdef EIGEN_TEST_EVALUATORS 
     MaxRowsAtCompileTime = IndicesType::MaxSizeAtCompileTime,
     MaxColsAtCompileTime = IndicesType::MaxSizeAtCompileTime,
-#else
-    MaxRowsAtCompileTime = IndicesType::MaxRowsAtCompileTime, // is this a bug in Eigen 2.2 ?
-    MaxColsAtCompileTime = IndicesType::MaxColsAtCompileTime,
-#endif
     Flags = 0
-#ifndef EIGEN_TEST_EVALUATORS
-    ,
-    CoeffReadCost = _IndicesType::CoeffReadCost
-#endif
   };
 };
 }
@@ -524,7 +510,6 @@ class PermutationWrapper : public PermutationBase<PermutationWrapper<_IndicesTyp
     typename IndicesType::Nested m_indices;
 };
 
-#ifdef EIGEN_TEST_EVALUATORS
 
 // TODO: Do we need to define these operator* functions? Would it be better to have them inherited
 // from MatrixBase?
@@ -553,35 +538,6 @@ operator*(const PermutationBase<PermutationDerived> &permutation,
             (permutation.derived(), matrix.derived());
 }
 
-#else // EIGEN_TEST_EVALUATORS
-
-/** \returns the matrix with the permutation applied to the columns.
-  */
-template<typename Derived, typename PermutationDerived>
-inline const internal::permut_matrix_product_retval<PermutationDerived, Derived, OnTheRight>
-operator*(const MatrixBase<Derived>& matrix,
-          const PermutationBase<PermutationDerived> &permutation)
-{
-  return internal::permut_matrix_product_retval
-           <PermutationDerived, Derived, OnTheRight>
-           (permutation.derived(), matrix.derived());
-}
-
-/** \returns the matrix with the permutation applied to the rows.
-  */
-template<typename Derived, typename PermutationDerived>
-inline const internal::permut_matrix_product_retval
-               <PermutationDerived, Derived, OnTheLeft>
-operator*(const PermutationBase<PermutationDerived> &permutation,
-          const MatrixBase<Derived>& matrix)
-{
-  return internal::permut_matrix_product_retval
-           <PermutationDerived, Derived, OnTheLeft>
-           (permutation.derived(), matrix.derived());
-}
-
-#endif // EIGEN_TEST_EVALUATORS
-
 namespace internal {
 
 template<typename PermutationType, typename MatrixType, int Side, bool Transposed>
@@ -682,9 +638,6 @@ class Transpose<PermutationBase<Derived> >
     typedef typename Derived::DenseMatrixType DenseMatrixType;
     enum {
       Flags = Traits::Flags,
-#ifndef EIGEN_TEST_EVALUATORS
-      CoeffReadCost = Traits::CoeffReadCost,
-#endif
       RowsAtCompileTime = Traits::RowsAtCompileTime,
       ColsAtCompileTime = Traits::ColsAtCompileTime,
       MaxRowsAtCompileTime = Traits::MaxRowsAtCompileTime,
@@ -713,8 +666,6 @@ class Transpose<PermutationBase<Derived> >
 
     DenseMatrixType toDenseMatrix() const { return *this; }
 
-#ifdef EIGEN_TEST_EVALUATORS
-
     /** \returns the matrix with the inverse permutation applied to the columns.
       */
     template<typename OtherDerived> friend
@@ -733,28 +684,6 @@ class Transpose<PermutationBase<Derived> >
       return Product<Transpose, OtherDerived, DefaultProduct>(*this, matrix.derived());
     }
 
-#else // EIGEN_TEST_EVALUATORS
-
-    /** \returns the matrix with the inverse permutation applied to the columns.
-      */
-    template<typename OtherDerived> friend
-    inline const internal::permut_matrix_product_retval<PermutationType, OtherDerived, OnTheRight, true>
-    operator*(const MatrixBase<OtherDerived>& matrix, const Transpose& trPerm)
-    {
-      return internal::permut_matrix_product_retval<PermutationType, OtherDerived, OnTheRight, true>(trPerm.m_permutation, matrix.derived());
-    }
-
-    /** \returns the matrix with the inverse permutation applied to the rows.
-      */
-    template<typename OtherDerived>
-    inline const internal::permut_matrix_product_retval<PermutationType, OtherDerived, OnTheLeft, true>
-    operator*(const MatrixBase<OtherDerived>& matrix) const
-    {
-      return internal::permut_matrix_product_retval<PermutationType, OtherDerived, OnTheLeft, true>(m_permutation, matrix.derived());
-    }
-
-#endif // EIGEN_TEST_EVALUATORS
-
     const PermutationType& nestedPermutation() const { return m_permutation; }
 
   protected:
@@ -767,7 +696,6 @@ const PermutationWrapper<const Derived> MatrixBase<Derived>::asPermutation() con
   return derived();
 }
 
-#ifdef EIGEN_TEST_EVALUATORS
 namespace internal {
   
 // TODO currently a permutation matrix expression has the form PermutationMatrix or PermutationWrapper
@@ -799,7 +727,6 @@ struct evaluator_traits<Transpose<PermutationBase<Derived> > >
 template<> struct AssignmentKind<DenseShape,PermutationShape> { typedef EigenBase2EigenBase Kind; };
 
 } // end namespace internal
-#endif // EIGEN_TEST_EVALUATORS
 
 } // end namespace Eigen
 

Eigen/src/Core/PlainObjectBase.h

@@ -128,11 +128,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
     DenseStorage<Scalar, Base::MaxSizeAtCompileTime, Base::RowsAtCompileTime, Base::ColsAtCompileTime, Options> m_storage;
 
   public:
-#ifndef EIGEN_TEST_EVALUATORS
-    enum { NeedsToAlign = SizeAtCompileTime != Dynamic && (internal::traits<Derived>::Flags & AlignedBit) != 0 };
-#else
     enum { NeedsToAlign = SizeAtCompileTime != Dynamic && (internal::traits<Derived>::EvaluatorFlags & AlignedBit) != 0 };
-#endif
     EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF(NeedsToAlign)
 
     EIGEN_DEVICE_FUNC
@@ -643,7 +639,6 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       *
       * \internal
       */
-#ifdef EIGEN_TEST_EVALUATORS
     // aliasing is dealt once in internall::call_assignment
     // so at this stage we have to assume aliasing... and resising has to be done later.
     template<typename OtherDerived>
@@ -654,23 +649,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       return this->derived();
       return this->derived();
     }
-#else
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC 
-    EIGEN_STRONG_INLINE Derived& _set(const DenseBase<OtherDerived>& other)
-    {
-      _set_selector(other.derived(), typename internal::conditional<static_cast<bool>(int(OtherDerived::Flags) & EvalBeforeAssigningBit), internal::true_type, internal::false_type>::type());
-      return this->derived();
-    }
 
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC 
-    EIGEN_STRONG_INLINE void _set_selector(const OtherDerived& other, const internal::true_type&) { _set_noalias(other.eval()); }
-
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC 
-    EIGEN_STRONG_INLINE void _set_selector(const OtherDerived& other, const internal::false_type&) { _set_noalias(other); }
-#endif
     /** \internal Like _set() but additionally makes the assumption that no aliasing effect can happen (which
       * is the case when creating a new matrix) so one can enforce lazy evaluation.
       *
@@ -685,12 +664,8 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       //_resize_to_match(other);
       // the 'false' below means to enforce lazy evaluation. We don't use lazyAssign() because
       // it wouldn't allow to copy a row-vector into a column-vector.
-#ifdef EIGEN_TEST_EVALUATORS
       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar>());
       return this->derived();
-#else
-      return internal::assign_selector<Derived,OtherDerived,false>::run(this->derived(), other.derived());
-#endif
     }
 
     template<typename T0, typename T1>

Eigen/src/Core/Product.h

@@ -79,11 +79,6 @@ struct traits<Product<Lhs, Rhs, Option> >
     // FIXME: only needed by GeneralMatrixMatrixTriangular
     InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(LhsTraits::ColsAtCompileTime, RhsTraits::RowsAtCompileTime),
     
-#ifndef EIGEN_TEST_EVALUATORS
-    // dummy, for evaluators unit test only
-    CoeffReadCost = Dynamic,
-#endif
-    
     // The storage order is somewhat arbitrary here. The correct one will be determined through the evaluator.
     Flags = (   (MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1)
              || ((LhsTraits::Flags&NoPreferredStorageOrderBit) && (RhsTraits::Flags&RowMajorBit))
@@ -164,7 +159,6 @@ public:
 
 } // namespace internal
 
-#ifdef EIGEN_TEST_EVALUATORS
 // Generic API dispatcher
 template<typename Lhs, typename Rhs, int Option, typename StorageKind>
 class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
@@ -172,7 +166,6 @@ class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, M
   public:
     typedef typename internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type Base;
 };
-#endif
 
 template<typename Lhs, typename Rhs, int Option>
 class ProductImpl<Lhs,Rhs,Option,Dense>

Eigen/src/Core/ProductBase.h

@@ -12,258 +12,6 @@
 
 namespace Eigen { 
 
-#ifndef EIGEN_TEST_EVALUATORS
-  
-/** \class ProductBase
-  * \ingroup Core_Module
-  *
-  */
-
-namespace internal {
-template<typename Derived, typename _Lhs, typename _Rhs>
-struct traits<ProductBase<Derived,_Lhs,_Rhs> >
-{
-  typedef MatrixXpr XprKind;
-  typedef typename remove_all<_Lhs>::type Lhs;
-  typedef typename remove_all<_Rhs>::type Rhs;
-  typedef typename scalar_product_traits<typename Lhs::Scalar, typename Rhs::Scalar>::ReturnType Scalar;
-  typedef typename product_promote_storage_type<typename traits<Lhs>::StorageKind,
-                                                typename traits<Rhs>::StorageKind,
-                                                0>::ret StorageKind;
-  typedef typename promote_index_type<typename traits<Lhs>::Index,
-                                         typename traits<Rhs>::Index>::type Index;
-  enum {
-    RowsAtCompileTime = traits<Lhs>::RowsAtCompileTime,
-    ColsAtCompileTime = traits<Rhs>::ColsAtCompileTime,
-    MaxRowsAtCompileTime = traits<Lhs>::MaxRowsAtCompileTime,
-    MaxColsAtCompileTime = traits<Rhs>::MaxColsAtCompileTime,
-    Flags = (MaxRowsAtCompileTime==1 ? RowMajorBit : 0)
-          | EvalBeforeNestingBit | EvalBeforeAssigningBit | NestByRefBit,
-                  // Note that EvalBeforeNestingBit and NestByRefBit
-                  // are not used in practice because nested is overloaded for products
-    CoeffReadCost = 0 // FIXME why is it needed ?
-  };
-};
-}
-
-#define EIGEN_PRODUCT_PUBLIC_INTERFACE(Derived) \
-  typedef ProductBase<Derived, Lhs, Rhs > Base; \
-  EIGEN_DENSE_PUBLIC_INTERFACE(Derived) \
-  typedef typename Base::LhsNested LhsNested; \
-  typedef typename Base::_LhsNested _LhsNested; \
-  typedef typename Base::LhsBlasTraits LhsBlasTraits; \
-  typedef typename Base::ActualLhsType ActualLhsType; \
-  typedef typename Base::_ActualLhsType _ActualLhsType; \
-  typedef typename Base::RhsNested RhsNested; \
-  typedef typename Base::_RhsNested _RhsNested; \
-  typedef typename Base::RhsBlasTraits RhsBlasTraits; \
-  typedef typename Base::ActualRhsType ActualRhsType; \
-  typedef typename Base::_ActualRhsType _ActualRhsType; \
-  using Base::m_lhs; \
-  using Base::m_rhs;
-
-template<typename Derived, typename Lhs, typename Rhs>
-class ProductBase : public MatrixBase<Derived>
-{
-  public:
-    typedef MatrixBase<Derived> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(ProductBase)
-    
-    typedef typename Lhs::Nested LhsNested;
-    typedef typename internal::remove_all<LhsNested>::type _LhsNested;
-    typedef internal::blas_traits<_LhsNested> LhsBlasTraits;
-    typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
-    typedef typename internal::remove_all<ActualLhsType>::type _ActualLhsType;
-    typedef typename internal::traits<Lhs>::Scalar LhsScalar;
-
-    typedef typename Rhs::Nested RhsNested;
-    typedef typename internal::remove_all<RhsNested>::type _RhsNested;
-    typedef internal::blas_traits<_RhsNested> RhsBlasTraits;
-    typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
-    typedef typename internal::remove_all<ActualRhsType>::type _ActualRhsType;
-    typedef typename internal::traits<Rhs>::Scalar RhsScalar;
-
-    // Diagonal of a product: no need to evaluate the arguments because they are going to be evaluated only once
-    typedef CoeffBasedProduct<LhsNested, RhsNested, 0> FullyLazyCoeffBaseProductType;
-
-  public:
-
-    typedef typename Base::PlainObject PlainObject;
-
-    ProductBase(const Lhs& a_lhs, const Rhs& a_rhs)
-      : m_lhs(a_lhs), m_rhs(a_rhs)
-    {
-      eigen_assert(a_lhs.cols() == a_rhs.rows()
-        && "invalid matrix product"
-        && "if you wanted a coeff-wise or a dot product use the respective explicit functions");
-    }
-
-    inline Index rows() const { return m_lhs.rows(); }
-    inline Index cols() const { return m_rhs.cols(); }
-
-    template<typename Dest>
-    inline void evalTo(Dest& dst) const { dst.setZero(); scaleAndAddTo(dst,Scalar(1)); }
-
-    template<typename Dest>
-    inline void addTo(Dest& dst) const { scaleAndAddTo(dst,Scalar(1)); }
-
-    template<typename Dest>
-    inline void subTo(Dest& dst) const { scaleAndAddTo(dst,Scalar(-1)); }
-
-    template<typename Dest>
-    inline void scaleAndAddTo(Dest& dst, const Scalar& alpha) const { derived().scaleAndAddTo(dst,alpha); }
-
-    const _LhsNested& lhs() const { return m_lhs; }
-    const _RhsNested& rhs() const { return m_rhs; }
-
-    // Implicit conversion to the nested type (trigger the evaluation of the product)
-    operator const PlainObject& () const
-    {
-      m_result.resize(m_lhs.rows(), m_rhs.cols());
-      derived().evalTo(m_result);
-      return m_result;
-    }
-
-    const Diagonal<const FullyLazyCoeffBaseProductType,0> diagonal() const
-    { return FullyLazyCoeffBaseProductType(m_lhs, m_rhs); }
-
-    template<int Index>
-    const Diagonal<FullyLazyCoeffBaseProductType,Index> diagonal() const
-    { return FullyLazyCoeffBaseProductType(m_lhs, m_rhs); }
-
-    const Diagonal<FullyLazyCoeffBaseProductType,Dynamic> diagonal(Index index) const
-    { return FullyLazyCoeffBaseProductType(m_lhs, m_rhs).diagonal(index); }
-
-    // restrict coeff accessors to 1x1 expressions. No need to care about mutators here since this isn't an Lvalue expression
-    typename Base::CoeffReturnType coeff(Index row, Index col) const
-    {
-      EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
-      eigen_assert(this->rows() == 1 && this->cols() == 1);
-      Matrix<Scalar,1,1> result = *this;
-      return result.coeff(row,col);
-    }
-
-    typename Base::CoeffReturnType coeff(Index i) const
-    {
-      EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
-      eigen_assert(this->rows() == 1 && this->cols() == 1);
-      Matrix<Scalar,1,1> result = *this;
-      return result.coeff(i);
-    }
-
-    const Scalar& coeffRef(Index row, Index col) const
-    {
-      EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
-      eigen_assert(this->rows() == 1 && this->cols() == 1);
-      return derived().coeffRef(row,col);
-    }
-
-    const Scalar& coeffRef(Index i) const
-    {
-      EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
-      eigen_assert(this->rows() == 1 && this->cols() == 1);
-      return derived().coeffRef(i);
-    }
-
-  protected:
-
-    LhsNested m_lhs;
-    RhsNested m_rhs;
-
-    mutable PlainObject m_result;
-};
-
-// here we need to overload the nested rule for products
-// such that the nested type is a const reference to a plain matrix
-namespace internal {
-template<typename Lhs, typename Rhs, int Mode, int N, typename PlainObject>
-struct nested<GeneralProduct<Lhs,Rhs,Mode>, N, PlainObject>
-{
-  typedef PlainObject const& type;
-};
-}
-
-template<typename NestedProduct>
-class ScaledProduct;
-
-// Note that these two operator* functions are not defined as member
-// functions of ProductBase, because, otherwise we would have to
-// define all overloads defined in MatrixBase. Furthermore, Using
-// "using Base::operator*" would not work with MSVC.
-//
-// Also note that here we accept any compatible scalar types
-template<typename Derived,typename Lhs,typename Rhs>
-const ScaledProduct<Derived>
-operator*(const ProductBase<Derived,Lhs,Rhs>& prod, const typename Derived::Scalar& x)
-{ return ScaledProduct<Derived>(prod.derived(), x); }
-
-template<typename Derived,typename Lhs,typename Rhs>
-typename internal::enable_if<!internal::is_same<typename Derived::Scalar,typename Derived::RealScalar>::value,
-                      const ScaledProduct<Derived> >::type
-operator*(const ProductBase<Derived,Lhs,Rhs>& prod, const typename Derived::RealScalar& x)
-{ return ScaledProduct<Derived>(prod.derived(), x); }
-
-
-template<typename Derived,typename Lhs,typename Rhs>
-const ScaledProduct<Derived>
-operator*(const typename Derived::Scalar& x,const ProductBase<Derived,Lhs,Rhs>& prod)
-{ return ScaledProduct<Derived>(prod.derived(), x); }
-
-template<typename Derived,typename Lhs,typename Rhs>
-typename internal::enable_if<!internal::is_same<typename Derived::Scalar,typename Derived::RealScalar>::value,
-                      const ScaledProduct<Derived> >::type
-operator*(const typename Derived::RealScalar& x,const ProductBase<Derived,Lhs,Rhs>& prod)
-{ return ScaledProduct<Derived>(prod.derived(), x); }
-
-namespace internal {
-template<typename NestedProduct>
-struct traits<ScaledProduct<NestedProduct> >
- : traits<ProductBase<ScaledProduct<NestedProduct>,
-                         typename NestedProduct::_LhsNested,
-                         typename NestedProduct::_RhsNested> >
-{
-  typedef typename traits<NestedProduct>::StorageKind StorageKind;
-};
-}
-
-template<typename NestedProduct>
-class ScaledProduct
-  : public ProductBase<ScaledProduct<NestedProduct>,
-                       typename NestedProduct::_LhsNested,
-                       typename NestedProduct::_RhsNested>
-{
-  public:
-    typedef ProductBase<ScaledProduct<NestedProduct>,
-                       typename NestedProduct::_LhsNested,
-                       typename NestedProduct::_RhsNested> Base;
-    typedef typename Base::Scalar Scalar;
-    typedef typename Base::PlainObject PlainObject;
-//     EIGEN_PRODUCT_PUBLIC_INTERFACE(ScaledProduct)
-
-    ScaledProduct(const NestedProduct& prod, const Scalar& x)
-    : Base(prod.lhs(),prod.rhs()), m_prod(prod), m_alpha(x) {}
-
-    template<typename Dest>
-    inline void evalTo(Dest& dst) const { dst.setZero(); scaleAndAddTo(dst, Scalar(1)); }
-
-    template<typename Dest>
-    inline void addTo(Dest& dst) const { scaleAndAddTo(dst, Scalar(1)); }
-
-    template<typename Dest>
-    inline void subTo(Dest& dst) const { scaleAndAddTo(dst, Scalar(-1)); }
-
-    template<typename Dest>
-    inline void scaleAndAddTo(Dest& dst, const Scalar& a_alpha) const { m_prod.derived().scaleAndAddTo(dst,a_alpha * m_alpha); }
-
-    const Scalar& alpha() const { return m_alpha; }
-    
-  protected:
-    const NestedProduct& m_prod;
-    Scalar m_alpha;
-};
-
-#endif // EIGEN_TEST_EVALUATORS
-
 /** \internal
   * Overloaded to perform an efficient C = (A*B).lazy() */
 template<typename Derived>

Eigen/src/Core/Redux.h

@@ -69,11 +69,7 @@ public:
 #ifdef EIGEN_DEBUG_ASSIGN
   static void debug()
   {
-#ifdef EIGEN_TEST_EVALUATORS
     std::cerr << "Xpr: " << typeid(typename Derived::XprType).name() << std::endl;
-#else
-    std::cerr << "Xpr: " << typeid(Derived).name() << std::endl;
-#endif
     std::cerr.setf(std::ios::hex, std::ios::basefield);
     EIGEN_DEBUG_VAR(Derived::Flags)
     std::cerr.unsetf(std::ios::hex);
@@ -338,7 +334,6 @@ struct redux_impl<Func, Derived, LinearVectorizedTraversal, CompleteUnrolling>
   }
 };
 
-#ifdef EIGEN_ENABLE_EVALUATORS
 // evaluator adaptor
 template<typename _XprType>
 class redux_evaluator
@@ -395,7 +390,6 @@ protected:
   typename internal::evaluator<XprType>::nestedType m_evaluator;
   const XprType &m_xpr;
 };
-#endif
 
 } // end namespace internal
 
@@ -417,7 +411,6 @@ EIGEN_STRONG_INLINE typename internal::result_of<Func(typename internal::traits<
 DenseBase<Derived>::redux(const Func& func) const
 {
   eigen_assert(this->rows()>0 && this->cols()>0 && "you are using an empty matrix");
-#ifdef EIGEN_TEST_EVALUATORS
   
   // FIXME, eval_nest should be handled by redux_evaluator, however:
   //  - it is currently difficult to provide the right Flags since they are still handled by the expressions
@@ -433,13 +426,6 @@ DenseBase<Derived>::redux(const Func& func) const
   ThisEvaluator thisEval(derived());
   
   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
-  
-#else
-  typedef typename internal::remove_all<typename Derived::Nested>::type ThisNested;
-  
-  return internal::redux_impl<Func, ThisNested>
-            ::run(derived(), func);
-#endif
 }
 
 /** \returns the minimum of all coefficients of \c *this.

Eigen/src/Core/Ref.h

@@ -243,11 +243,7 @@ template<typename TPlainObjectType, int Options, typename StrideType> class Ref<
     template<typename Expression>
     void construct(const Expression& expr, internal::false_type)
     {
-#ifdef EIGEN_TEST_EVALUATORS
       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar>());
-#else
-      m_object.lazyAssign(expr);
-#endif
       Base::construct(m_object);
     }
 

Eigen/src/Core/Replicate.h

@@ -54,13 +54,8 @@ struct traits<Replicate<MatrixType,RowFactor,ColFactor> >
                : MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1 ? 0
                : (MatrixType::Flags & RowMajorBit) ? 1 : 0,
     
-#ifndef EIGEN_TEST_EVALUATORS
-    Flags = (_MatrixTypeNested::Flags & HereditaryBits & ~RowMajorBit) | (IsRowMajor ? RowMajorBit : 0),
-    CoeffReadCost = _MatrixTypeNested::CoeffReadCost
-#else
     // FIXME enable DirectAccess with negative strides?
     Flags = IsRowMajor ? RowMajorBit : 0
-#endif
   };
 };
 }

Eigen/src/Core/ReturnByValue.h

@@ -33,25 +33,18 @@ struct traits<ReturnByValue<Derived> >
   };
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
 /* The ReturnByValue object doesn't even have a coeff() method.
  * So the only way that nesting it in an expression can work, is by evaluating it into a plain matrix.
  * So internal::nested always gives the plain return matrix type.
  *
  * FIXME: I don't understand why we need this specialization: isn't this taken care of by the EvalBeforeNestingBit ??
+ * Answer: EvalBeforeNestingBit should be deprecated since we have the evaluators
  */
 template<typename Derived,int n,typename PlainObject>
-struct nested<ReturnByValue<Derived>, n, PlainObject>
-{
-  typedef typename traits<Derived>::ReturnType type;
-};
-#else
-template<typename Derived,int n,typename PlainObject>
 struct nested_eval<ReturnByValue<Derived>, n, PlainObject>
 {
   typedef typename traits<Derived>::ReturnType type;
 };
-#endif
 
 } // end namespace internal
 
@@ -93,7 +86,6 @@ Derived& DenseBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
   return derived();
 }
 
-#ifdef EIGEN_TEST_EVALUATORS
 namespace internal {
 
 // Expression is evaluated in a temporary; default implementation of Assignment is bypassed so that
@@ -123,7 +115,6 @@ protected:
 };
 
 } // end namespace internal
-#endif
 
 } // end namespace Eigen
 

Eigen/src/Core/Reverse.h

@@ -44,17 +44,7 @@ struct traits<Reverse<MatrixType, Direction> >
     ColsAtCompileTime = MatrixType::ColsAtCompileTime,
     MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
     MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
-
-#ifndef EIGEN_TEST_EVALUATORS
-    // let's enable LinearAccess only with vectorization because of the product overhead
-    LinearAccess = ( (Direction==BothDirections) && (int(_MatrixTypeNested::Flags)&PacketAccessBit) )
-                 ? LinearAccessBit : 0,
-
-    Flags = int(_MatrixTypeNested::Flags) & (HereditaryBits | LvalueBit | PacketAccessBit | LinearAccess),
-    CoeffReadCost = _MatrixTypeNested::CoeffReadCost
-#else
     Flags = _MatrixTypeNested::Flags & (RowMajorBit | LvalueBit)
-#endif
   };
 };
 

Eigen/src/Core/Select.h

@@ -43,14 +43,7 @@ struct traits<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
     ColsAtCompileTime = ConditionMatrixType::ColsAtCompileTime,
     MaxRowsAtCompileTime = ConditionMatrixType::MaxRowsAtCompileTime,
     MaxColsAtCompileTime = ConditionMatrixType::MaxColsAtCompileTime,
-#ifndef EIGEN_TEST_EVALUATORS
-    Flags = (unsigned int)ThenMatrixType::Flags & ElseMatrixType::Flags & HereditaryBits,
-    CoeffReadCost = traits<typename remove_all<ConditionMatrixNested>::type>::CoeffReadCost
-                  + EIGEN_SIZE_MAX(traits<typename remove_all<ThenMatrixNested>::type>::CoeffReadCost,
-                                   traits<typename remove_all<ElseMatrixNested>::type>::CoeffReadCost)
-#else
     Flags = (unsigned int)ThenMatrixType::Flags & ElseMatrixType::Flags & RowMajorBit
-#endif
   };
 };
 }

Eigen/src/Core/SelfAdjointView.h

@@ -40,20 +40,10 @@ struct traits<SelfAdjointView<MatrixType, UpLo> > : traits<MatrixType>
     Mode = UpLo | SelfAdjoint,
     Flags =  MatrixTypeNestedCleaned::Flags & (HereditaryBits)
            & (~(PacketAccessBit | DirectAccessBit | LinearAccessBit)) // FIXME these flags should be preserved
-#ifndef EIGEN_TEST_EVALUATORS
-    ,
-    CoeffReadCost = MatrixTypeNestedCleaned::CoeffReadCost
-#endif
   };
 };
 }
 
-#ifndef EIGEN_TEST_EVALUATORS
-template <typename Lhs, int LhsMode, bool LhsIsVector,
-          typename Rhs, int RhsMode, bool RhsIsVector>
-struct SelfadjointProductMatrix;
-#endif
-
 // FIXME could also be called SelfAdjointWrapper to be consistent with DiagonalWrapper ??
 template<typename _MatrixType, unsigned int UpLo> class SelfAdjointView
   : public TriangularBase<SelfAdjointView<_MatrixType, UpLo> >
@@ -118,8 +108,6 @@ template<typename _MatrixType, unsigned int UpLo> class SelfAdjointView
     EIGEN_DEVICE_FUNC
     MatrixTypeNestedCleaned& nestedExpression() { return *const_cast<MatrixTypeNestedCleaned*>(&m_matrix); }
 
-#ifdef EIGEN_TEST_EVALUATORS
-
     /** Efficient triangular matrix times vector/matrix product */
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
@@ -145,31 +133,6 @@ template<typename _MatrixType, unsigned int UpLo> class SelfAdjointView
       return (s*mat.nestedExpression()).template selfadjointView<UpLo>();
     }
 
-#else // EIGEN_TEST_EVALUATORS
-
-    /** Efficient self-adjoint matrix times vector/matrix product */
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    SelfadjointProductMatrix<MatrixType,Mode,false,OtherDerived,0,OtherDerived::IsVectorAtCompileTime>
-    operator*(const MatrixBase<OtherDerived>& rhs) const
-    {
-      return SelfadjointProductMatrix
-              <MatrixType,Mode,false,OtherDerived,0,OtherDerived::IsVectorAtCompileTime>
-              (m_matrix, rhs.derived());
-    }
-
-    /** Efficient vector/matrix times self-adjoint matrix product */
-    template<typename OtherDerived> friend
-    EIGEN_DEVICE_FUNC
-    SelfadjointProductMatrix<OtherDerived,0,OtherDerived::IsVectorAtCompileTime,MatrixType,Mode,false>
-    operator*(const MatrixBase<OtherDerived>& lhs, const SelfAdjointView& rhs)
-    {
-      return SelfadjointProductMatrix
-              <OtherDerived,0,OtherDerived::IsVectorAtCompileTime,MatrixType,Mode,false>
-              (lhs.derived(),rhs.m_matrix);
-    }
-#endif
-
     /** Perform a symmetric rank 2 update of the selfadjoint matrix \c *this:
       * \f$ this = this + \alpha u v^* + conj(\alpha) v u^* \f$
       * \returns a reference to \c *this
@@ -231,104 +194,6 @@ template<typename _MatrixType, unsigned int UpLo> class SelfAdjointView
 
 namespace internal {
 
-#ifndef EIGEN_TEST_EVALUATORS
- 
-template<typename Derived1, typename Derived2, int UnrollCount, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), UnrollCount, ClearOpposite>
-{
-  enum {
-    col = (UnrollCount-1) / Derived1::RowsAtCompileTime,
-    row = (UnrollCount-1) % Derived1::RowsAtCompileTime
-  };
-
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), UnrollCount-1, ClearOpposite>::run(dst, src);
-
-    if(row == col)
-      dst.coeffRef(row, col) = numext::real(src.coeff(row, col));
-    else if(row < col)
-      dst.coeffRef(col, row) = numext::conj(dst.coeffRef(row, col) = src.coeff(row, col));
-  }
-};
-
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, 0, ClearOpposite>
-{
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &, const Derived2 &) {}
-};
-
-template<typename Derived1, typename Derived2, int UnrollCount, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), UnrollCount, ClearOpposite>
-{
-  enum {
-    col = (UnrollCount-1) / Derived1::RowsAtCompileTime,
-    row = (UnrollCount-1) % Derived1::RowsAtCompileTime
-  };
-
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), UnrollCount-1, ClearOpposite>::run(dst, src);
-
-    if(row == col)
-      dst.coeffRef(row, col) = numext::real(src.coeff(row, col));
-    else if(row > col)
-      dst.coeffRef(col, row) = numext::conj(dst.coeffRef(row, col) = src.coeff(row, col));
-  }
-};
-
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Lower, 0, ClearOpposite>
-{
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &, const Derived2 &) {}
-};
-
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, Dynamic, ClearOpposite>
-{
-  typedef typename Derived1::Index Index;
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    for(Index j = 0; j < dst.cols(); ++j)
-    {
-      for(Index i = 0; i < j; ++i)
-      {
-        dst.copyCoeff(i, j, src);
-        dst.coeffRef(j,i) = numext::conj(dst.coeff(i,j));
-      }
-      dst.copyCoeff(j, j, src);
-    }
-  }
-};
-
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Lower, Dynamic, ClearOpposite>
-{
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-  typedef typename Derived1::Index Index;
-    for(Index i = 0; i < dst.rows(); ++i)
-    {
-      for(Index j = 0; j < i; ++j)
-      {
-        dst.copyCoeff(i, j, src);
-        dst.coeffRef(j,i) = numext::conj(dst.coeff(i,j));
-      }
-      dst.copyCoeff(i, i, src);
-    }
-  }
-};
-
-#endif // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_ENABLE_EVALUATORS
-
 // TODO currently a selfadjoint expression has the form SelfAdjointView<.,.>
 //      in the future selfadjoint-ness should be defined by the expression traits
 //      such that Transpose<SelfAdjointView<.,.> > is valid. (currently TriangularBase::transpose() is overloaded to make it work)
@@ -382,8 +247,6 @@ public:
   { eigen_internal_assert(false && "should never be called"); }
 };
 
-#endif // EIGEN_ENABLE_EVALUATORS
-
 } // end namespace internal
 
 /***************************************************************************

Eigen/src/Core/SelfCwiseBinaryOp.h

@@ -12,178 +12,6 @@
 
 namespace Eigen { 
 
-#ifndef  EIGEN_TEST_EVALUATORS
-  
-/** \class SelfCwiseBinaryOp
-  * \ingroup Core_Module
-  *
-  * \internal
-  *
-  * \brief Internal helper class for optimizing operators like +=, -=
-  *
-  * This is a pseudo expression class re-implementing the copyCoeff/copyPacket
-  * method to directly performs a +=/-= operations in an optimal way. In particular,
-  * this allows to make sure that the input/output data are loaded only once using
-  * aligned packet loads.
-  *
-  * \sa class SwapWrapper for a similar trick.
-  */
-
-namespace internal {
-template<typename BinaryOp, typename Lhs, typename Rhs>
-struct traits<SelfCwiseBinaryOp<BinaryOp,Lhs,Rhs> >
-  : traits<CwiseBinaryOp<BinaryOp,Lhs,Rhs> >
-{
-  enum {
-    // Note that it is still a good idea to preserve the DirectAccessBit
-    // so that assign can correctly align the data.
-    Flags = traits<CwiseBinaryOp<BinaryOp,Lhs,Rhs> >::Flags | (Lhs::Flags&AlignedBit) | (Lhs::Flags&DirectAccessBit) | (Lhs::Flags&LvalueBit),
-    OuterStrideAtCompileTime = Lhs::OuterStrideAtCompileTime,
-    InnerStrideAtCompileTime = Lhs::InnerStrideAtCompileTime
-  };
-};
-}
-
-template<typename BinaryOp, typename Lhs, typename Rhs> class SelfCwiseBinaryOp
-  : public internal::dense_xpr_base< SelfCwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type
-{
-  public:
-
-    typedef typename internal::dense_xpr_base<SelfCwiseBinaryOp>::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(SelfCwiseBinaryOp)
-
-    typedef typename internal::packet_traits<Scalar>::type Packet;
-
-    EIGEN_DEVICE_FUNC
-    inline SelfCwiseBinaryOp(Lhs& xpr, const BinaryOp& func = BinaryOp()) : m_matrix(xpr), m_functor(func) {}
-
-    EIGEN_DEVICE_FUNC inline Index rows() const { return m_matrix.rows(); }
-    EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.cols(); }
-    EIGEN_DEVICE_FUNC inline Index outerStride() const { return m_matrix.outerStride(); }
-    EIGEN_DEVICE_FUNC inline Index innerStride() const { return m_matrix.innerStride(); }
-    EIGEN_DEVICE_FUNC inline const Scalar* data() const { return m_matrix.data(); }
-
-    // note that this function is needed by assign to correctly align loads/stores
-    // TODO make Assign use .data()
-    EIGEN_DEVICE_FUNC
-    inline Scalar& coeffRef(Index row, Index col)
-    {
-      EIGEN_STATIC_ASSERT_LVALUE(Lhs)
-      return m_matrix.const_cast_derived().coeffRef(row, col);
-    }
-    EIGEN_DEVICE_FUNC
-    inline const Scalar& coeffRef(Index row, Index col) const
-    {
-      return m_matrix.coeffRef(row, col);
-    }
-
-    // note that this function is needed by assign to correctly align loads/stores
-    // TODO make Assign use .data()
-    EIGEN_DEVICE_FUNC
-    inline Scalar& coeffRef(Index index)
-    {
-      EIGEN_STATIC_ASSERT_LVALUE(Lhs)
-      return m_matrix.const_cast_derived().coeffRef(index);
-    }
-    EIGEN_DEVICE_FUNC
-    inline const Scalar& coeffRef(Index index) const
-    {
-      return m_matrix.const_cast_derived().coeffRef(index);
-    }
-
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    void copyCoeff(Index row, Index col, const DenseBase<OtherDerived>& other)
-    {
-      OtherDerived& _other = other.const_cast_derived();
-      eigen_internal_assert(row >= 0 && row < rows()
-                         && col >= 0 && col < cols());
-      Scalar& tmp = m_matrix.coeffRef(row,col);
-      tmp = m_functor(tmp, _other.coeff(row,col));
-    }
-
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    void copyCoeff(Index index, const DenseBase<OtherDerived>& other)
-    {
-      OtherDerived& _other = other.const_cast_derived();
-      eigen_internal_assert(index >= 0 && index < m_matrix.size());
-      Scalar& tmp = m_matrix.coeffRef(index);
-      tmp = m_functor(tmp, _other.coeff(index));
-    }
-
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    void copyPacket(Index row, Index col, const DenseBase<OtherDerived>& other)
-    {
-      OtherDerived& _other = other.const_cast_derived();
-      eigen_internal_assert(row >= 0 && row < rows()
-                        && col >= 0 && col < cols());
-      m_matrix.template writePacket<StoreMode>(row, col,
-        m_functor.packetOp(m_matrix.template packet<StoreMode>(row, col),_other.template packet<LoadMode>(row, col)) );
-    }
-
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    void copyPacket(Index index, const DenseBase<OtherDerived>& other)
-    {
-      OtherDerived& _other = other.const_cast_derived();
-      eigen_internal_assert(index >= 0 && index < m_matrix.size());
-      m_matrix.template writePacket<StoreMode>(index,
-        m_functor.packetOp(m_matrix.template packet<StoreMode>(index),_other.template packet<LoadMode>(index)) );
-    }
-
-    // reimplement lazyAssign to handle complex *= real
-    // see CwiseBinaryOp ctor for details
-    template<typename RhsDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE SelfCwiseBinaryOp& lazyAssign(const DenseBase<RhsDerived>& rhs)
-    {
-      EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs,RhsDerived)
-      EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename RhsDerived::Scalar);
-      
-    #ifdef EIGEN_DEBUG_ASSIGN
-      internal::assign_traits<SelfCwiseBinaryOp, RhsDerived>::debug();
-    #endif
-      eigen_assert(rows() == rhs.rows() && cols() == rhs.cols());
-      internal::assign_impl<SelfCwiseBinaryOp, RhsDerived>::run(*this,rhs.derived());
-    #ifndef EIGEN_NO_DEBUG
-      this->checkTransposeAliasing(rhs.derived());
-    #endif
-      return *this;
-    }
-    
-    // overloaded to honor evaluation of special matrices
-    // maybe another solution would be to not use SelfCwiseBinaryOp
-    // at first...
-    EIGEN_DEVICE_FUNC
-    SelfCwiseBinaryOp& operator=(const Rhs& _rhs)
-    {
-      typename internal::nested<Rhs>::type rhs(_rhs);
-      return Base::operator=(rhs);
-    }
-
-    EIGEN_DEVICE_FUNC
-    Lhs& expression() const 
-    { 
-      return m_matrix;
-    }
-
-    EIGEN_DEVICE_FUNC
-    const BinaryOp& functor() const 
-    { 
-      return m_functor;
-    }
-
-  protected:
-    Lhs& m_matrix;
-    const BinaryOp& m_functor;
-
-  private:
-    SelfCwiseBinaryOp& operator=(const SelfCwiseBinaryOp&);
-};
-
-#endif // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename Derived>
 inline Derived& DenseBase<Derived>::operator*=(const Scalar& other)
 {
@@ -215,43 +43,6 @@ inline Derived& DenseBase<Derived>::operator/=(const Scalar& other)
   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar>());
   return derived();
 }
-#else
-template<typename Derived>
-inline Derived& DenseBase<Derived>::operator*=(const Scalar& other)
-{
-  typedef typename Derived::PlainObject PlainObject;
-  SelfCwiseBinaryOp<internal::scalar_product_op<Scalar>, Derived, typename PlainObject::ConstantReturnType> tmp(derived());
-  tmp = PlainObject::Constant(rows(),cols(),other);
-  return derived();
-}
-
-template<typename Derived>
-inline Derived& ArrayBase<Derived>::operator+=(const Scalar& other)
-{
-  typedef typename Derived::PlainObject PlainObject;
-  SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, Derived, typename PlainObject::ConstantReturnType> tmp(derived());
-  tmp = PlainObject::Constant(rows(),cols(),other);
-  return derived();
-}
-
-template<typename Derived>
-inline Derived& ArrayBase<Derived>::operator-=(const Scalar& other)
-{
-  typedef typename Derived::PlainObject PlainObject;
-  SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, Derived, typename PlainObject::ConstantReturnType> tmp(derived());
-  tmp = PlainObject::Constant(rows(),cols(),other);
-  return derived();
-}
-
-template<typename Derived>
-inline Derived& DenseBase<Derived>::operator/=(const Scalar& other)
-{
-  typedef typename Derived::PlainObject PlainObject;
-  SelfCwiseBinaryOp<internal::scalar_quotient_op<Scalar>, Derived, typename PlainObject::ConstantReturnType> tmp(derived());
-  tmp = PlainObject::Constant(rows(),cols(), other);
-  return derived();
-}
-#endif
 
 } // end namespace Eigen
 

Eigen/src/Core/Solve.h

@@ -99,7 +99,6 @@ private:
   Scalar coeff(Index i) const;
 };
 
-#ifdef EIGEN_TEST_EVALUATORS
 // Generic API dispatcher
 template<typename Decomposition, typename RhsType, typename StorageKind>
 class SolveImpl : public internal::generic_xpr_base<Solve<Decomposition,RhsType>, MatrixXpr, StorageKind>::type
@@ -107,7 +106,6 @@ class SolveImpl : public internal::generic_xpr_base<Solve<Decomposition,RhsType>
   public:
     typedef typename internal::generic_xpr_base<Solve<Decomposition,RhsType>, MatrixXpr, StorageKind>::type Base;
 };
-#endif
 
 namespace internal {
 

Eigen/src/Core/Swap.h

@@ -12,135 +12,6 @@
 
 namespace Eigen { 
 
-#ifndef EIGEN_TEST_EVALUATORS
-  
-/** \class SwapWrapper
-  * \ingroup Core_Module
-  *
-  * \internal
-  *
-  * \brief Internal helper class for swapping two expressions
-  */
-namespace internal {
-template<typename ExpressionType>
-struct traits<SwapWrapper<ExpressionType> > : traits<ExpressionType> {};
-}
-
-template<typename ExpressionType> class SwapWrapper
-  : public internal::dense_xpr_base<SwapWrapper<ExpressionType> >::type
-{
-  public:
-
-    typedef typename internal::dense_xpr_base<SwapWrapper>::type Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(SwapWrapper)
-    typedef typename internal::packet_traits<Scalar>::type Packet;
-
-    EIGEN_DEVICE_FUNC
-    inline SwapWrapper(ExpressionType& xpr) : m_expression(xpr) {}
-
-    EIGEN_DEVICE_FUNC
-    inline Index rows() const { return m_expression.rows(); }
-    EIGEN_DEVICE_FUNC
-    inline Index cols() const { return m_expression.cols(); }
-    EIGEN_DEVICE_FUNC
-    inline Index outerStride() const { return m_expression.outerStride(); }
-    EIGEN_DEVICE_FUNC
-    inline Index innerStride() const { return m_expression.innerStride(); }
-    
-    typedef typename internal::conditional<
-                       internal::is_lvalue<ExpressionType>::value,
-                       Scalar,
-                       const Scalar
-                     >::type ScalarWithConstIfNotLvalue;
-                     
-    EIGEN_DEVICE_FUNC
-    inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
-    EIGEN_DEVICE_FUNC
-    inline const Scalar* data() const { return m_expression.data(); }
-
-    EIGEN_DEVICE_FUNC
-    inline Scalar& coeffRef(Index rowId, Index colId)
-    {
-      return m_expression.const_cast_derived().coeffRef(rowId, colId);
-    }
-
-    EIGEN_DEVICE_FUNC
-    inline Scalar& coeffRef(Index index)
-    {
-      return m_expression.const_cast_derived().coeffRef(index);
-    }
-
-    EIGEN_DEVICE_FUNC
-    inline Scalar& coeffRef(Index rowId, Index colId) const
-    {
-      return m_expression.coeffRef(rowId, colId);
-    }
-
-    EIGEN_DEVICE_FUNC
-    inline Scalar& coeffRef(Index index) const
-    {
-      return m_expression.coeffRef(index);
-    }
-
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    void copyCoeff(Index rowId, Index colId, const DenseBase<OtherDerived>& other)
-    {
-      OtherDerived& _other = other.const_cast_derived();
-      eigen_internal_assert(rowId >= 0 && rowId < rows()
-                         && colId >= 0 && colId < cols());
-      Scalar tmp = m_expression.coeff(rowId, colId);
-      m_expression.coeffRef(rowId, colId) = _other.coeff(rowId, colId);
-      _other.coeffRef(rowId, colId) = tmp;
-    }
-
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    void copyCoeff(Index index, const DenseBase<OtherDerived>& other)
-    {
-      OtherDerived& _other = other.const_cast_derived();
-      eigen_internal_assert(index >= 0 && index < m_expression.size());
-      Scalar tmp = m_expression.coeff(index);
-      m_expression.coeffRef(index) = _other.coeff(index);
-      _other.coeffRef(index) = tmp;
-    }
-
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    void copyPacket(Index rowId, Index colId, const DenseBase<OtherDerived>& other)
-    {
-      OtherDerived& _other = other.const_cast_derived();
-      eigen_internal_assert(rowId >= 0 && rowId < rows()
-                        && colId >= 0 && colId < cols());
-      Packet tmp = m_expression.template packet<StoreMode>(rowId, colId);
-      m_expression.template writePacket<StoreMode>(rowId, colId,
-        _other.template packet<LoadMode>(rowId, colId)
-      );
-      _other.template writePacket<LoadMode>(rowId, colId, tmp);
-    }
-
-    template<typename OtherDerived, int StoreMode, int LoadMode>
-    void copyPacket(Index index, const DenseBase<OtherDerived>& other)
-    {
-      OtherDerived& _other = other.const_cast_derived();
-      eigen_internal_assert(index >= 0 && index < m_expression.size());
-      Packet tmp = m_expression.template packet<StoreMode>(index);
-      m_expression.template writePacket<StoreMode>(index,
-        _other.template packet<LoadMode>(index)
-      );
-      _other.template writePacket<LoadMode>(index, tmp);
-    }
-
-    EIGEN_DEVICE_FUNC
-    ExpressionType& expression() const { return m_expression; }
-
-  protected:
-    ExpressionType& m_expression;
-};
-
-#endif
-
-#ifdef EIGEN_ENABLE_EVALUATORS
-
 namespace internal {
 
 // Overload default assignPacket behavior for swapping them
@@ -189,8 +60,6 @@ public:
 
 } // namespace internal
 
-#endif
-
 } // end namespace Eigen
 
 #endif // EIGEN_SWAP_H

Eigen/src/Core/Transpose.h

@@ -42,18 +42,10 @@ struct traits<Transpose<MatrixType> >
     ColsAtCompileTime = MatrixType::RowsAtCompileTime,
     MaxRowsAtCompileTime = MatrixType::MaxColsAtCompileTime,
     MaxColsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
-#ifndef EIGEN_TEST_EVALUATORS
     FlagsLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
     Flags0 = MatrixTypeNestedPlain::Flags & ~(LvalueBit | NestByRefBit),
     Flags1 = Flags0 | FlagsLvalueBit,
     Flags = Flags1 ^ RowMajorBit,
-    CoeffReadCost = MatrixTypeNestedPlain::CoeffReadCost,
-#else
-    FlagsLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
-    Flags0 = MatrixTypeNestedPlain::Flags & ~(LvalueBit | NestByRefBit),
-    Flags1 = Flags0 | FlagsLvalueBit,
-    Flags = Flags1 ^ RowMajorBit,
-#endif
     InnerStrideAtCompileTime = inner_stride_at_compile_time<MatrixType>::ret,
     OuterStrideAtCompileTime = outer_stride_at_compile_time<MatrixType>::ret
   };
@@ -109,7 +101,6 @@ struct TransposeImpl_base<MatrixType, false>
 
 } // end namespace internal
 
-#ifdef EIGEN_TEST_EVALUATORS
 // Generic API dispatcher
 template<typename XprType, typename StorageKind>
 class TransposeImpl
@@ -118,7 +109,6 @@ class TransposeImpl
 public:
   typedef typename internal::generic_xpr_base<Transpose<XprType> >::type Base;
 };
-#endif
 
 template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
   : public internal::TransposeImpl_base<MatrixType>::type
@@ -141,59 +131,6 @@ template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
 
     inline ScalarWithConstIfNotLvalue* data() { return derived().nestedExpression().data(); }
     inline const Scalar* data() const { return derived().nestedExpression().data(); }
-    
-#ifndef EIGEN_TEST_EVALUATORS
-
-    EIGEN_DEVICE_FUNC
-    inline ScalarWithConstIfNotLvalue& coeffRef(Index rowId, Index colId)
-    {
-      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
-      return derived().nestedExpression().const_cast_derived().coeffRef(colId, rowId);
-    }
-
-    EIGEN_DEVICE_FUNC
-    inline ScalarWithConstIfNotLvalue& coeffRef(Index index)
-    {
-      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
-      return derived().nestedExpression().const_cast_derived().coeffRef(index);
-    }
-
-    EIGEN_DEVICE_FUNC
-    inline CoeffReturnType coeff(Index rowId, Index colId) const
-    {
-      return derived().nestedExpression().coeff(colId, rowId);
-    }
-
-    EIGEN_DEVICE_FUNC
-    inline CoeffReturnType coeff(Index index) const
-    {
-      return derived().nestedExpression().coeff(index);
-    }
-
-    template<int LoadMode>
-    inline const PacketScalar packet(Index rowId, Index colId) const
-    {
-      return derived().nestedExpression().template packet<LoadMode>(colId, rowId);
-    }
-
-    template<int LoadMode>
-    inline void writePacket(Index rowId, Index colId, const PacketScalar& x)
-    {
-      derived().nestedExpression().const_cast_derived().template writePacket<LoadMode>(colId, rowId, x);
-    }
-
-    template<int LoadMode>
-    inline const PacketScalar packet(Index index) const
-    {
-      return derived().nestedExpression().template packet<LoadMode>(index);
-    }
-
-    template<int LoadMode>
-    inline void writePacket(Index index, const PacketScalar& x)
-    {
-      derived().nestedExpression().const_cast_derived().template writePacket<LoadMode>(index, x);
-    }
-#endif
 
     // FIXME: shall we keep the const version of coeffRef?
     EIGEN_DEVICE_FUNC
@@ -446,14 +383,6 @@ void check_for_aliasing(const Dst &dst, const Src &src)
 
 } // end namespace internal
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename Derived>
-template<typename OtherDerived>
-void DenseBase<Derived>::checkTransposeAliasing(const OtherDerived& other) const
-{
-    internal::checkTransposeAliasing_impl<Derived, OtherDerived>::run(derived(), other);
-}
-#endif // EIGEN_TEST_EVALUATORS
 #endif // EIGEN_NO_DEBUG
 
 } // end namespace Eigen

Eigen/src/Core/TriangularMatrix.h

@@ -32,9 +32,6 @@ template<typename Derived> class TriangularBase : public EigenBase<Derived>
 
     enum {
       Mode = internal::traits<Derived>::Mode,
-#ifndef EIGEN_TEST_EVALUATORS
-      CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
-#endif
       RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
       ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
       MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
@@ -177,21 +174,10 @@ struct traits<TriangularView<MatrixType, _Mode> > : traits<MatrixType>
   enum {
     Mode = _Mode,
     Flags = (MatrixTypeNestedCleaned::Flags & (HereditaryBits | LvalueBit) & (~(PacketAccessBit | DirectAccessBit | LinearAccessBit)))
-#ifndef EIGEN_TEST_EVALUATORS
-    ,
-    CoeffReadCost = MatrixTypeNestedCleaned::CoeffReadCost
-#endif
   };
 };
 }
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<int Mode, bool LhsIsTriangular,
-         typename Lhs, bool LhsIsVector,
-         typename Rhs, bool RhsIsVector>
-struct TriangularProduct;
-#endif
-
 template<typename _MatrixType, unsigned int _Mode, typename StorageKind> class TriangularViewImpl;
 
 template<typename _MatrixType, unsigned int _Mode> class TriangularView
@@ -270,7 +256,6 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
       return m_matrix.transpose();
     }
 
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename Other>
     EIGEN_DEVICE_FUNC
     inline const Solve<TriangularView, Other> 
@@ -287,7 +272,6 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
   #else
     using Base::solve;
   #endif
-#endif // EIGEN_TEST_EVALUATORS
 
     EIGEN_DEVICE_FUNC
     const SelfAdjointView<MatrixTypeNestedNonRef,Mode> selfadjointView() const
@@ -348,8 +332,6 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
     EIGEN_DEVICE_FUNC
     inline Index innerStride() const { return derived().nestedExpression().innerStride(); }
 
-#ifdef EIGEN_TEST_EVALUATORS
-
     /** \sa MatrixBase::operator+=() */    
     template<typename Other>
     EIGEN_DEVICE_FUNC
@@ -365,16 +347,6 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
       return derived();
     }
     
-#else
-    /** \sa MatrixBase::operator+=() */    
-    template<typename Other>
-    EIGEN_DEVICE_FUNC
-    TriangularViewType&  operator+=(const DenseBase<Other>& other) { return *this = derived().nestedExpression() + other.derived(); }
-    /** \sa MatrixBase::operator-=() */
-    template<typename Other>
-    EIGEN_DEVICE_FUNC
-    TriangularViewType&  operator-=(const DenseBase<Other>& other) { return *this = derived().nestedExpression() - other.derived(); }
-#endif
     /** \sa MatrixBase::operator*=() */
     EIGEN_DEVICE_FUNC
     TriangularViewType&  operator*=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() * other; }
@@ -437,8 +409,6 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
     EIGEN_DEVICE_FUNC
     void lazyAssign(const MatrixBase<OtherDerived>& other);  
 
-#ifdef EIGEN_TEST_EVALUATORS
-
     /** Efficient triangular matrix times vector/matrix product */
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
@@ -456,30 +426,6 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
     {
       return Product<OtherDerived,TriangularViewType>(lhs.derived(),rhs.derived());
     }
-    
-#else // EIGEN_TEST_EVALUATORS
-    /** Efficient triangular matrix times vector/matrix product */
-    template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC
-    TriangularProduct<Mode, true, MatrixType, false, OtherDerived, OtherDerived::ColsAtCompileTime==1>
-    operator*(const MatrixBase<OtherDerived>& rhs) const
-    {
-      return TriangularProduct
-              <Mode, true, MatrixType, false, OtherDerived, OtherDerived::ColsAtCompileTime==1>
-              (derived().nestedExpression(), rhs.derived());
-    }
-
-    /** Efficient vector/matrix times triangular matrix product */
-    template<typename OtherDerived> friend
-    EIGEN_DEVICE_FUNC
-    TriangularProduct<Mode, false, OtherDerived, OtherDerived::RowsAtCompileTime==1, MatrixType, false>
-    operator*(const MatrixBase<OtherDerived>& lhs, const TriangularViewImpl& rhs)
-    {
-      return TriangularProduct
-              <Mode, false, OtherDerived, OtherDerived::RowsAtCompileTime==1, MatrixType, false>
-              (lhs.derived(),rhs.derived().nestedExpression());
-    }
-#endif
 
     template<int Side, typename Other>
     EIGEN_DEVICE_FUNC
@@ -490,14 +436,6 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
     EIGEN_DEVICE_FUNC
     void solveInPlace(const MatrixBase<OtherDerived>& other) const;
 
-#ifndef EIGEN_TEST_EVALUATORS
-    template<typename Other>
-    EIGEN_DEVICE_FUNC
-    inline const internal::triangular_solve_retval<OnTheLeft,TriangularViewType, Other> 
-    solve(const MatrixBase<Other>& other) const
-    { return solve<OnTheLeft>(other); }
-#endif // EIGEN_TEST_EVALUATORS
-
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     void solveInPlace(const MatrixBase<OtherDerived>& other) const
@@ -507,11 +445,7 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
     EIGEN_DEVICE_FUNC
     void swap(TriangularBase<OtherDerived> const & other)
     {
-      #ifdef EIGEN_TEST_EVALUATORS
       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
-      #else
-      TriangularView<SwapWrapper<MatrixType>,Mode>(const_cast<MatrixType&>(derived().nestedExpression())).lazyAssign(other.const_cast_derived().nestedExpression());
-      #endif
     }
 
     // TODO: this overload is ambiguous and it should be deprecated (Gael)
@@ -519,65 +453,8 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
     EIGEN_DEVICE_FUNC
     void swap(MatrixBase<OtherDerived> const & other)
     {
-      #ifdef EIGEN_TEST_EVALUATORS
       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
-      #else
-      SwapWrapper<MatrixType> swaper(const_cast<MatrixType&>(derived().nestedExpression()));
-      TriangularView<SwapWrapper<MatrixType>,Mode>(swaper).lazyAssign(other.derived());
-      #endif
     }
-    
-#ifndef EIGEN_TEST_EVALUATORS
-    
-    // TODO simplify the following:
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE TriangularViewType& operator=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
-    {
-      setZero();
-      return assignProduct(other,1);
-    }
-    
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE TriangularViewType& operator+=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
-    {
-      return assignProduct(other,1);
-    }
-    
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE TriangularViewType& operator-=(const ProductBase<ProductDerived, Lhs,Rhs>& other)
-    {
-      return assignProduct(other,-1);
-    }
-    
-    
-    template<typename ProductDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE TriangularViewType& operator=(const ScaledProduct<ProductDerived>& other)
-    {
-      setZero();
-      return assignProduct(other,other.alpha());
-    }
-    
-    template<typename ProductDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE TriangularViewType& operator+=(const ScaledProduct<ProductDerived>& other)
-    {
-      return assignProduct(other,other.alpha());
-    }
-    
-    template<typename ProductDerived>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE TriangularViewType& operator-=(const ScaledProduct<ProductDerived>& other)
-    {
-      return assignProduct(other,-other.alpha());
-    }
-
-#endif // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_TEST_EVALUATORS
 
     template<typename RhsType, typename DstType>
     EIGEN_DEVICE_FUNC
@@ -590,194 +467,12 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_Mat
     template<typename ProductType>
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE TriangularViewType& _assignProduct(const ProductType& prod, const Scalar& alpha);
-    
-  protected:
-#else
-  protected:
-    template<typename ProductDerived, typename Lhs, typename Rhs>
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE TriangularViewType& assignProduct(const ProductBase<ProductDerived, Lhs,Rhs>& prod, const Scalar& alpha);
-#endif
 };
 
 /***************************************************************************
 * Implementation of triangular evaluation/assignment
 ***************************************************************************/
 
-namespace internal {
-
-#ifndef EIGEN_TEST_EVALUATORS
-  
-template<typename Derived1, typename Derived2, unsigned int Mode, int UnrollCount, bool ClearOpposite>
-struct triangular_assignment_selector
-{
-  enum {
-    col = (UnrollCount-1) / Derived1::RowsAtCompileTime,
-    row = (UnrollCount-1) % Derived1::RowsAtCompileTime
-  };
-  
-  typedef typename Derived1::Scalar Scalar;
-
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    triangular_assignment_selector<Derived1, Derived2, Mode, UnrollCount-1, ClearOpposite>::run(dst, src);
-
-    eigen_assert( Mode == Upper || Mode == Lower
-            || Mode == StrictlyUpper || Mode == StrictlyLower
-            || Mode == UnitUpper || Mode == UnitLower);
-    if((Mode == Upper && row <= col)
-    || (Mode == Lower && row >= col)
-    || (Mode == StrictlyUpper && row < col)
-    || (Mode == StrictlyLower && row > col)
-    || (Mode == UnitUpper && row < col)
-    || (Mode == UnitLower && row > col))
-      dst.copyCoeff(row, col, src);
-    else if(ClearOpposite)
-    {
-      if (Mode&UnitDiag && row==col)
-        dst.coeffRef(row, col) = Scalar(1);
-      else
-        dst.coeffRef(row, col) = Scalar(0);
-    }
-  }
-};
-
-// prevent buggy user code from causing an infinite recursion
-template<typename Derived1, typename Derived2, unsigned int Mode, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, Mode, 0, ClearOpposite>
-{
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &, const Derived2 &) {}
-};
-
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, Upper, Dynamic, ClearOpposite>
-{
-  typedef typename Derived1::Index Index;
-  typedef typename Derived1::Scalar Scalar;
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    for(Index j = 0; j < dst.cols(); ++j)
-    {
-      Index maxi = (std::min)(j, dst.rows()-1);
-      for(Index i = 0; i <= maxi; ++i)
-        dst.copyCoeff(i, j, src);
-      if (ClearOpposite)
-        for(Index i = maxi+1; i < dst.rows(); ++i)
-          dst.coeffRef(i, j) = Scalar(0);
-    }
-  }
-};
-
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, Lower, Dynamic, ClearOpposite>
-{
-  typedef typename Derived1::Index Index;
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    for(Index j = 0; j < dst.cols(); ++j)
-    {
-      for(Index i = j; i < dst.rows(); ++i)
-        dst.copyCoeff(i, j, src);
-      Index maxi = (std::min)(j, dst.rows());
-      if (ClearOpposite)
-        for(Index i = 0; i < maxi; ++i)
-          dst.coeffRef(i, j) = static_cast<typename Derived1::Scalar>(0);
-    }
-  }
-};
-
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, StrictlyUpper, Dynamic, ClearOpposite>
-{
-  typedef typename Derived1::Index Index;
-  typedef typename Derived1::Scalar Scalar;
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    for(Index j = 0; j < dst.cols(); ++j)
-    {
-      Index maxi = (std::min)(j, dst.rows());
-      for(Index i = 0; i < maxi; ++i)
-        dst.copyCoeff(i, j, src);
-      if (ClearOpposite)
-        for(Index i = maxi; i < dst.rows(); ++i)
-          dst.coeffRef(i, j) = Scalar(0);
-    }
-  }
-};
-
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, StrictlyLower, Dynamic, ClearOpposite>
-{
-  typedef typename Derived1::Index Index;
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    for(Index j = 0; j < dst.cols(); ++j)
-    {
-      for(Index i = j+1; i < dst.rows(); ++i)
-        dst.copyCoeff(i, j, src);
-      Index maxi = (std::min)(j, dst.rows()-1);
-      if (ClearOpposite)
-        for(Index i = 0; i <= maxi; ++i)
-          dst.coeffRef(i, j) = static_cast<typename Derived1::Scalar>(0);
-    }
-  }
-};
-
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, UnitUpper, Dynamic, ClearOpposite>
-{
-  typedef typename Derived1::Index Index;
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    for(Index j = 0; j < dst.cols(); ++j)
-    {
-      Index maxi = (std::min)(j, dst.rows());
-      for(Index i = 0; i < maxi; ++i)
-        dst.copyCoeff(i, j, src);
-      if (ClearOpposite)
-      {
-        for(Index i = maxi+1; i < dst.rows(); ++i)
-          dst.coeffRef(i, j) = 0;
-      }
-    }
-    dst.diagonal().setOnes();
-  }
-};
-template<typename Derived1, typename Derived2, bool ClearOpposite>
-struct triangular_assignment_selector<Derived1, Derived2, UnitLower, Dynamic, ClearOpposite>
-{
-  typedef typename Derived1::Index Index;
-  EIGEN_DEVICE_FUNC
-  static inline void run(Derived1 &dst, const Derived2 &src)
-  {
-    for(Index j = 0; j < dst.cols(); ++j)
-    {
-      Index maxi = (std::min)(j, dst.rows());
-      for(Index i = maxi+1; i < dst.rows(); ++i)
-        dst.copyCoeff(i, j, src);
-      if (ClearOpposite)
-      {
-        for(Index i = 0; i < maxi; ++i)
-          dst.coeffRef(i, j) = 0;
-      }
-    }
-    dst.diagonal().setOnes();
-  }
-};
-
-#endif // EIGEN_TEST_EVALUATORS
-
-} // end namespace internal
-
-#ifdef EIGEN_TEST_EVALUATORS
-
 // FIXME should we keep that possibility
 template<typename MatrixType, unsigned int Mode>
 template<typename OtherDerived>
@@ -816,84 +511,6 @@ void TriangularViewImpl<MatrixType, Mode, Dense>::lazyAssign(const TriangularBas
   internal::call_assignment(derived().noalias(), other.derived());
 }
 
-#else
-
-// FIXME should we keep that possibility
-template<typename MatrixType, unsigned int Mode>
-template<typename OtherDerived>
-inline TriangularView<MatrixType, Mode>&
-TriangularViewImpl<MatrixType, Mode, Dense>::operator=(const MatrixBase<OtherDerived>& other)
-{
-  if(OtherDerived::Flags & EvalBeforeAssigningBit)
-  {
-    typename internal::plain_matrix_type<OtherDerived>::type other_evaluated(other.rows(), other.cols());
-    other_evaluated.template triangularView<Mode>().lazyAssign(other.derived());
-    lazyAssign(other_evaluated);
-  }
-  else
-    lazyAssign(other.derived());
-  return derived();
-}
-
-// FIXME should we keep that possibility
-template<typename MatrixType, unsigned int Mode>
-template<typename OtherDerived>
-void TriangularViewImpl<MatrixType, Mode, Dense>::lazyAssign(const MatrixBase<OtherDerived>& other)
-{
-  enum {
-    unroll = MatrixType::SizeAtCompileTime != Dynamic
-          && internal::traits<OtherDerived>::CoeffReadCost != Dynamic
-          && MatrixType::SizeAtCompileTime*internal::traits<OtherDerived>::CoeffReadCost/2 <= EIGEN_UNROLLING_LIMIT
-  };
-  eigen_assert(derived().rows() == other.rows() && derived().cols() == other.cols());
-
-  internal::triangular_assignment_selector
-    <MatrixType, OtherDerived, int(Mode),
-    unroll ? int(MatrixType::SizeAtCompileTime) : Dynamic,
-    false // do not change the opposite triangular part
-    >::run(derived().nestedExpression().const_cast_derived(), other.derived());
-}
-
-
-
-template<typename MatrixType, unsigned int Mode>
-template<typename OtherDerived>
-inline TriangularView<MatrixType, Mode>&
-TriangularViewImpl<MatrixType, Mode, Dense>::operator=(const TriangularBase<OtherDerived>& other)
-{
-  eigen_assert(Mode == int(OtherDerived::Mode));
-  if(internal::traits<OtherDerived>::Flags & EvalBeforeAssigningBit)
-  {
-    typename OtherDerived::DenseMatrixType other_evaluated(other.rows(), other.cols());
-    other_evaluated.template triangularView<Mode>().lazyAssign(other.derived().nestedExpression());
-    lazyAssign(other_evaluated);
-  }
-  else
-    lazyAssign(other.derived().nestedExpression());
-  return derived();
-}
-
-template<typename MatrixType, unsigned int Mode>
-template<typename OtherDerived>
-void TriangularViewImpl<MatrixType, Mode, Dense>::lazyAssign(const TriangularBase<OtherDerived>& other)
-{
-  enum {
-    unroll = MatrixType::SizeAtCompileTime != Dynamic
-                   && internal::traits<OtherDerived>::CoeffReadCost != Dynamic
-                   && MatrixType::SizeAtCompileTime * internal::traits<OtherDerived>::CoeffReadCost / 2
-                        <= EIGEN_UNROLLING_LIMIT
-  };
-  eigen_assert(derived().rows() == other.rows() && derived().cols() == other.cols());
-
-  internal::triangular_assignment_selector
-    <MatrixType, OtherDerived, int(Mode),
-    unroll ? int(MatrixType::SizeAtCompileTime) : Dynamic,
-    false // preserve the opposite triangular part
-    >::run(derived().nestedExpression().const_cast_derived(), other.derived().nestedExpression());
-}
-
-#endif // EIGEN_TEST_EVALUATORS
-
 /***************************************************************************
 * Implementation of TriangularBase methods
 ***************************************************************************/
@@ -914,31 +531,6 @@ void TriangularBase<Derived>::evalTo(MatrixBase<DenseDerived> &other) const
     evalToLazy(other.derived());
 }
 
-#ifndef EIGEN_TEST_EVALUATORS
-
-/** Assigns a triangular or selfadjoint matrix to a dense matrix.
-  * If the matrix is triangular, the opposite part is set to zero. */
-template<typename Derived>
-template<typename DenseDerived>
-void TriangularBase<Derived>::evalToLazy(MatrixBase<DenseDerived> &other) const
-{
-  enum {
-    unroll = DenseDerived::SizeAtCompileTime != Dynamic
-                   && internal::traits<Derived>::CoeffReadCost != Dynamic
-                   && DenseDerived::SizeAtCompileTime * internal::traits<Derived>::CoeffReadCost / 2
-                        <= EIGEN_UNROLLING_LIMIT
-  };
-  other.derived().resize(this->rows(), this->cols());
-
-  internal::triangular_assignment_selector
-    <DenseDerived, typename internal::traits<Derived>::MatrixTypeNestedCleaned, Derived::Mode,
-    unroll ? int(DenseDerived::SizeAtCompileTime) : Dynamic,
-    true // clear the opposite triangular part
-    >::run(other.derived(), derived().nestedExpression());
-}
-
-#endif // EIGEN_TEST_EVALUATORS
-
 /***************************************************************************
 * Implementation of TriangularView methods
 ***************************************************************************/
@@ -1028,8 +620,6 @@ bool MatrixBase<Derived>::isLowerTriangular(const RealScalar& prec) const
 }
 
 
-#ifdef EIGEN_ENABLE_EVALUATORS
-
 /***************************************************************************
 ****************************************************************************
 * Evaluators and Assignment of triangular expressions
@@ -1268,7 +858,6 @@ struct triangular_assignment_loop<Kernel, Mode, Dynamic, SetOpposite>
 
 } // end namespace internal
 
-#ifdef EIGEN_TEST_EVALUATORS
 /** Assigns a triangular or selfadjoint matrix to a dense matrix.
   * If the matrix is triangular, the opposite part is set to zero. */
 template<typename Derived>
@@ -1315,11 +904,7 @@ struct Assignment<DstXprType, Product<Lhs,Rhs,DefaultProduct>, internal::sub_ass
   }
 };
 
-
 } // end namespace internal
-#endif
-
-#endif // EIGEN_ENABLE_EVALUATORS
 
 } // end namespace Eigen
 

Eigen/src/Core/VectorwiseOp.h

@@ -48,25 +48,9 @@ struct traits<PartialReduxExpr<MatrixType, MemberOp, Direction> >
     ColsAtCompileTime = Direction==Horizontal ? 1 : MatrixType::ColsAtCompileTime,
     MaxRowsAtCompileTime = Direction==Vertical   ? 1 : MatrixType::MaxRowsAtCompileTime,
     MaxColsAtCompileTime = Direction==Horizontal ? 1 : MatrixType::MaxColsAtCompileTime,
-#ifndef EIGEN_TEST_EVALUATORS
-    Flags0 = (unsigned int)_MatrixTypeNested::Flags & HereditaryBits,
-    Flags = (Flags0 & ~RowMajorBit) | (RowsAtCompileTime == 1 ? RowMajorBit : 0),
-#else
     Flags = RowsAtCompileTime == 1 ? RowMajorBit : 0,
-#endif
     TraversalSize = Direction==Vertical ? MatrixType::RowsAtCompileTime :  MatrixType::ColsAtCompileTime
   };
-#ifndef EIGEN_TEST_EVALUATORS
-  #if EIGEN_GNUC_AT_LEAST(3,4)
-  typedef typename MemberOp::template Cost<InputScalar,int(TraversalSize)> CostOpType;
-  #else
-  typedef typename MemberOp::template Cost<InputScalar,TraversalSize> CostOpType;
-  #endif
-  enum {
-    CoeffReadCost = TraversalSize==Dynamic ? Dynamic
-                  : TraversalSize * traits<_MatrixTypeNested>::CoeffReadCost + int(CostOpType::value)
-  };
-#endif
 };
 }
 

Eigen/src/Core/Visitor.h

@@ -53,7 +53,6 @@ struct visitor_impl<Visitor, Derived, Dynamic>
   }
 };
 
-#ifdef EIGEN_ENABLE_EVALUATORS
 // evaluator adaptor
 template<typename XprType>
 class visitor_evaluator
@@ -81,7 +80,6 @@ protected:
   typename internal::evaluator<XprType>::nestedType m_evaluator;
   const XprType &m_xpr;
 };
-#endif
 } // end namespace internal
 
 /** Applies the visitor \a visitor to the whole coefficients of the matrix or vector.
@@ -105,7 +103,6 @@ template<typename Derived>
 template<typename Visitor>
 void DenseBase<Derived>::visit(Visitor& visitor) const
 {
-#ifdef EIGEN_TEST_EVALUATORS
   typedef typename internal::visitor_evaluator<Derived> ThisEvaluator;
   ThisEvaluator thisEval(derived());
   
@@ -117,16 +114,6 @@ void DenseBase<Derived>::visit(Visitor& visitor) const
   return internal::visitor_impl<Visitor, ThisEvaluator,
       unroll ? int(SizeAtCompileTime) : Dynamic
     >::run(thisEval, visitor);
-#else
-  enum { unroll = SizeAtCompileTime != Dynamic
-                   && CoeffReadCost != Dynamic
-                   && (SizeAtCompileTime == 1 || internal::functor_traits<Visitor>::Cost != Dynamic)
-                   && SizeAtCompileTime * CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits<Visitor>::Cost
-                      <= EIGEN_UNROLLING_LIMIT };
-  return internal::visitor_impl<Visitor, Derived,
-      unroll ? int(SizeAtCompileTime) : Dynamic
-    >::run(derived(), visitor);
-#endif
 }
 
 namespace internal {

Eigen/src/Core/products/CoeffBasedProduct.h

@@ -1,460 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
-// Copyright (C) 2008-2010 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_COEFFBASED_PRODUCT_H
-#define EIGEN_COEFFBASED_PRODUCT_H
-
-namespace Eigen { 
-
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-  
-/*********************************************************************************
-*  Coefficient based product implementation.
-*  It is designed for the following use cases:
-*  - small fixed sizes
-*  - lazy products
-*********************************************************************************/
-
-/* Since the all the dimensions of the product are small, here we can rely
- * on the generic Assign mechanism to evaluate the product per coeff (or packet).
- *
- * Note that here the inner-loops should always be unrolled.
- */
-
-template<int Traversal, int UnrollingIndex, typename Lhs, typename Rhs, typename RetScalar>
-struct product_coeff_impl;
-
-template<int StorageOrder, int UnrollingIndex, typename Lhs, typename Rhs, typename Packet, int LoadMode>
-struct product_packet_impl;
-
-template<typename LhsNested, typename RhsNested, int NestingFlags>
-struct traits<CoeffBasedProduct<LhsNested,RhsNested,NestingFlags> >
-{
-  typedef MatrixXpr XprKind;
-  typedef typename remove_all<LhsNested>::type _LhsNested;
-  typedef typename remove_all<RhsNested>::type _RhsNested;
-  typedef typename scalar_product_traits<typename _LhsNested::Scalar, typename _RhsNested::Scalar>::ReturnType Scalar;
-  typedef typename product_promote_storage_type<typename traits<_LhsNested>::StorageKind,
-                                                typename traits<_RhsNested>::StorageKind,
-                                                0>::ret StorageKind;
-  typedef typename promote_index_type<typename traits<_LhsNested>::Index,
-                                         typename traits<_RhsNested>::Index>::type Index;
-
-  enum {
-      LhsFlags = traits<_LhsNested>::Flags,
-      RhsFlags = traits<_RhsNested>::Flags,
-
-      RowsAtCompileTime = _LhsNested::RowsAtCompileTime,
-      ColsAtCompileTime = _RhsNested::ColsAtCompileTime,
-      InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(_LhsNested::ColsAtCompileTime, _RhsNested::RowsAtCompileTime),
-
-      MaxRowsAtCompileTime = _LhsNested::MaxRowsAtCompileTime,
-      MaxColsAtCompileTime = _RhsNested::MaxColsAtCompileTime,
-
-      LhsRowMajor = LhsFlags & RowMajorBit,
-      RhsRowMajor = RhsFlags & RowMajorBit,
-
-      SameType = is_same<typename _LhsNested::Scalar,typename _RhsNested::Scalar>::value,
-
-      CanVectorizeRhs = RhsRowMajor && (RhsFlags & PacketAccessBit)
-                      && (ColsAtCompileTime == Dynamic
-                          || ( (ColsAtCompileTime % packet_traits<Scalar>::size) == 0
-                              && (RhsFlags&AlignedBit)
-                             )
-                         ),
-
-      CanVectorizeLhs = (!LhsRowMajor) && (LhsFlags & PacketAccessBit)
-                      && (RowsAtCompileTime == Dynamic
-                          || ( (RowsAtCompileTime % packet_traits<Scalar>::size) == 0
-                              && (LhsFlags&AlignedBit)
-                             )
-                         ),
-
-      EvalToRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1
-                     : (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0
-                     : (RhsRowMajor && !CanVectorizeLhs),
-
-      Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit)
-            | (EvalToRowMajor ? RowMajorBit : 0)
-            | NestingFlags
-            | (CanVectorizeLhs ? (LhsFlags & AlignedBit) : 0)
-            | (CanVectorizeRhs ? (RhsFlags & AlignedBit) : 0)
-            // TODO enable vectorization for mixed types
-            | (SameType && (CanVectorizeLhs || CanVectorizeRhs) ? PacketAccessBit : 0),
-#ifndef EIGEN_TEST_EVALUATORS
-      LhsCoeffReadCost = traits<_LhsNested>::CoeffReadCost,
-      RhsCoeffReadCost = traits<_RhsNested>::CoeffReadCost,
-      CoeffReadCost = (InnerSize == Dynamic || LhsCoeffReadCost==Dynamic || RhsCoeffReadCost==Dynamic || NumTraits<Scalar>::AddCost==Dynamic || NumTraits<Scalar>::MulCost==Dynamic) ? Dynamic
-                    : InnerSize * (NumTraits<Scalar>::MulCost + LhsCoeffReadCost + RhsCoeffReadCost)
-                      + (InnerSize - 1) * NumTraits<Scalar>::AddCost,
-#endif
-      /* CanVectorizeInner deserves special explanation. It does not affect the product flags. It is not used outside
-      * of Product. If the Product itself is not a packet-access expression, there is still a chance that the inner
-      * loop of the product might be vectorized. This is the meaning of CanVectorizeInner. Since it doesn't affect
-      * the Flags, it is safe to make this value depend on ActualPacketAccessBit, that doesn't affect the ABI.
-      */
-      CanVectorizeInner =    SameType
-                          && LhsRowMajor
-                          && (!RhsRowMajor)
-                          && (LhsFlags & RhsFlags & ActualPacketAccessBit)
-                          && (LhsFlags & RhsFlags & AlignedBit)
-                          && (InnerSize % packet_traits<Scalar>::size == 0)
-    };
-};
-
-} // end namespace internal
-
-#ifndef EIGEN_TEST_EVALUATORS
-
-template<typename LhsNested, typename RhsNested, int NestingFlags>
-class CoeffBasedProduct
-  : internal::no_assignment_operator,
-    public MatrixBase<CoeffBasedProduct<LhsNested, RhsNested, NestingFlags> >
-{
-  public:
-
-    typedef MatrixBase<CoeffBasedProduct> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(CoeffBasedProduct)
-    typedef typename Base::PlainObject PlainObject;
-
-  private:
-
-    typedef typename internal::traits<CoeffBasedProduct>::_LhsNested _LhsNested;
-    typedef typename internal::traits<CoeffBasedProduct>::_RhsNested _RhsNested;
-
-    enum {
-      PacketSize = internal::packet_traits<Scalar>::size,
-      InnerSize  = internal::traits<CoeffBasedProduct>::InnerSize,
-      Unroll = CoeffReadCost != Dynamic && CoeffReadCost <= EIGEN_UNROLLING_LIMIT,
-      CanVectorizeInner = internal::traits<CoeffBasedProduct>::CanVectorizeInner
-    };
-
-    typedef internal::product_coeff_impl<CanVectorizeInner ? InnerVectorizedTraversal : DefaultTraversal,
-                                   Unroll ? InnerSize-1 : Dynamic,
-                                   _LhsNested, _RhsNested, Scalar> ScalarCoeffImpl;
-
-    typedef CoeffBasedProduct<LhsNested,RhsNested,NestByRefBit> LazyCoeffBasedProductType;
-
-  public:
-
-    EIGEN_DEVICE_FUNC
-    inline CoeffBasedProduct(const CoeffBasedProduct& other)
-      : Base(), m_lhs(other.m_lhs), m_rhs(other.m_rhs)
-    {}
-
-    template<typename Lhs, typename Rhs>
-    EIGEN_DEVICE_FUNC 
-    inline CoeffBasedProduct(const Lhs& lhs, const Rhs& rhs)
-      : m_lhs(lhs), m_rhs(rhs)
-    {
-      // we don't allow taking products of matrices of different real types, as that wouldn't be vectorizable.
-      // We still allow to mix T and complex<T>.
-      EIGEN_STATIC_ASSERT((internal::scalar_product_traits<typename Lhs::RealScalar, typename Rhs::RealScalar>::Defined),
-        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
-      eigen_assert(lhs.cols() == rhs.rows()
-        && "invalid matrix product"
-        && "if you wanted a coeff-wise or a dot product use the respective explicit functions");
-    }
-
-    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index rows() const { return m_lhs.rows(); }
-    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index cols() const { return m_rhs.cols(); }
-
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar coeff(Index row, Index col) const
-    {
-      Scalar res;
-      ScalarCoeffImpl::run(row, col, m_lhs, m_rhs, res);
-      return res;
-    }
-
-    /* Allow index-based non-packet access. It is impossible though to allow index-based packed access,
-     * which is why we don't set the LinearAccessBit.
-     */
-    EIGEN_DEVICE_FUNC
-    EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
-    {
-      Scalar res;
-      const Index row = RowsAtCompileTime == 1 ? 0 : index;
-      const Index col = RowsAtCompileTime == 1 ? index : 0;
-      ScalarCoeffImpl::run(row, col, m_lhs, m_rhs, res);
-      return res;
-    }
-
-    template<int LoadMode>
-    EIGEN_STRONG_INLINE const PacketScalar packet(Index row, Index col) const
-    {
-      PacketScalar res;
-      internal::product_packet_impl<Flags&RowMajorBit ? RowMajor : ColMajor,
-                              Unroll ? InnerSize-1 : Dynamic,
-                              _LhsNested, _RhsNested, PacketScalar, LoadMode>
-        ::run(row, col, m_lhs, m_rhs, res);
-      return res;
-    }
-
-    // Implicit conversion to the nested type (trigger the evaluation of the product)
-    EIGEN_DEVICE_FUNC 
-    EIGEN_STRONG_INLINE operator const PlainObject& () const
-    {
-      m_result.lazyAssign(*this);
-      return m_result;
-    }
-
-    EIGEN_DEVICE_FUNC const _LhsNested& lhs() const { return m_lhs; }
-    EIGEN_DEVICE_FUNC const _RhsNested& rhs() const { return m_rhs; }
-
-    EIGEN_DEVICE_FUNC
-    const Diagonal<const LazyCoeffBasedProductType,0> diagonal() const
-    { return reinterpret_cast<const LazyCoeffBasedProductType&>(*this); }
-
-    template<int DiagonalIndex>
-    EIGEN_DEVICE_FUNC 
-    const Diagonal<const LazyCoeffBasedProductType,DiagonalIndex> diagonal() const
-    { return reinterpret_cast<const LazyCoeffBasedProductType&>(*this); }
-
-    EIGEN_DEVICE_FUNC
-    const Diagonal<const LazyCoeffBasedProductType,Dynamic> diagonal(Index index) const
-    { return reinterpret_cast<const LazyCoeffBasedProductType&>(*this).diagonal(index); }
-
-  protected:
-    typename internal::add_const_on_value_type<LhsNested>::type m_lhs;
-    typename internal::add_const_on_value_type<RhsNested>::type m_rhs;
-
-    mutable PlainObject m_result;
-};
-
-namespace internal {
-
-// here we need to overload the nested rule for products
-// such that the nested type is a const reference to a plain matrix
-template<typename Lhs, typename Rhs, int N, typename PlainObject>
-struct nested<CoeffBasedProduct<Lhs,Rhs,EvalBeforeNestingBit|EvalBeforeAssigningBit>, N, PlainObject>
-{
-  typedef PlainObject const& type;
-};
-
-/***************************************************************************
-* Normal product .coeff() implementation (with meta-unrolling)
-***************************************************************************/
-
-/**************************************
-*** Scalar path  - no vectorization ***
-**************************************/
-
-template<int UnrollingIndex, typename Lhs, typename Rhs, typename RetScalar>
-struct product_coeff_impl<DefaultTraversal, UnrollingIndex, Lhs, Rhs, RetScalar>
-{
-  typedef typename Lhs::Index Index;
-  EIGEN_DEVICE_FUNC 
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, RetScalar &res)
-  {
-    product_coeff_impl<DefaultTraversal, UnrollingIndex-1, Lhs, Rhs, RetScalar>::run(row, col, lhs, rhs, res);
-    res += lhs.coeff(row, UnrollingIndex) * rhs.coeff(UnrollingIndex, col);
-  }
-};
-
-template<typename Lhs, typename Rhs, typename RetScalar>
-struct product_coeff_impl<DefaultTraversal, 0, Lhs, Rhs, RetScalar>
-{
-  typedef typename Lhs::Index Index;
-  EIGEN_DEVICE_FUNC 
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, RetScalar &res)
-  {
-    res = lhs.coeff(row, 0) * rhs.coeff(0, col);
-  }
-};
-
-template<typename Lhs, typename Rhs, typename RetScalar>
-struct product_coeff_impl<DefaultTraversal, Dynamic, Lhs, Rhs, RetScalar>
-{
-  typedef typename Lhs::Index Index;
-  EIGEN_DEVICE_FUNC 
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, RetScalar& res)
-  {
-    eigen_assert(lhs.cols()>0 && "you are using a non initialized matrix");
-    res = lhs.coeff(row, 0) * rhs.coeff(0, col);
-      for(Index i = 1; i < lhs.cols(); ++i)
-        res += lhs.coeff(row, i) * rhs.coeff(i, col);
-  }
-};
-
-/*******************************************
-*** Scalar path with inner vectorization ***
-*******************************************/
-
-template<int UnrollingIndex, typename Lhs, typename Rhs, typename Packet>
-struct product_coeff_vectorized_unroller
-{
-  typedef typename Lhs::Index Index;
-  enum { PacketSize = packet_traits<typename Lhs::Scalar>::size };
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, typename Lhs::PacketScalar &pres)
-  {
-    product_coeff_vectorized_unroller<UnrollingIndex-PacketSize, Lhs, Rhs, Packet>::run(row, col, lhs, rhs, pres);
-    pres = padd(pres, pmul( lhs.template packet<Aligned>(row, UnrollingIndex) , rhs.template packet<Aligned>(UnrollingIndex, col) ));
-  }
-};
-
-template<typename Lhs, typename Rhs, typename Packet>
-struct product_coeff_vectorized_unroller<0, Lhs, Rhs, Packet>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, typename Lhs::PacketScalar &pres)
-  {
-    pres = pmul(lhs.template packet<Aligned>(row, 0) , rhs.template packet<Aligned>(0, col));
-  }
-};
-
-template<int UnrollingIndex, typename Lhs, typename Rhs, typename RetScalar>
-struct product_coeff_impl<InnerVectorizedTraversal, UnrollingIndex, Lhs, Rhs, RetScalar>
-{
-  typedef typename Lhs::PacketScalar Packet;
-  typedef typename Lhs::Index Index;
-  enum { PacketSize = packet_traits<typename Lhs::Scalar>::size };
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, RetScalar &res)
-  {
-    Packet pres;
-    product_coeff_vectorized_unroller<UnrollingIndex+1-PacketSize, Lhs, Rhs, Packet>::run(row, col, lhs, rhs, pres);
-    res = predux(pres);
-  }
-};
-
-template<typename Lhs, typename Rhs, int LhsRows = Lhs::RowsAtCompileTime, int RhsCols = Rhs::ColsAtCompileTime>
-struct product_coeff_vectorized_dyn_selector
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, typename Lhs::Scalar &res)
-  {
-    res = lhs.row(row).transpose().cwiseProduct(rhs.col(col)).sum();
-  }
-};
-
-// NOTE the 3 following specializations are because taking .col(0) on a vector is a bit slower
-// NOTE maybe they are now useless since we have a specialization for Block<Matrix>
-template<typename Lhs, typename Rhs, int RhsCols>
-struct product_coeff_vectorized_dyn_selector<Lhs,Rhs,1,RhsCols>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index /*row*/, Index col, const Lhs& lhs, const Rhs& rhs, typename Lhs::Scalar &res)
-  {
-    res = lhs.transpose().cwiseProduct(rhs.col(col)).sum();
-  }
-};
-
-template<typename Lhs, typename Rhs, int LhsRows>
-struct product_coeff_vectorized_dyn_selector<Lhs,Rhs,LhsRows,1>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index /*col*/, const Lhs& lhs, const Rhs& rhs, typename Lhs::Scalar &res)
-  {
-    res = lhs.row(row).transpose().cwiseProduct(rhs).sum();
-  }
-};
-
-template<typename Lhs, typename Rhs>
-struct product_coeff_vectorized_dyn_selector<Lhs,Rhs,1,1>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index /*row*/, Index /*col*/, const Lhs& lhs, const Rhs& rhs, typename Lhs::Scalar &res)
-  {
-    res = lhs.transpose().cwiseProduct(rhs).sum();
-  }
-};
-
-template<typename Lhs, typename Rhs, typename RetScalar>
-struct product_coeff_impl<InnerVectorizedTraversal, Dynamic, Lhs, Rhs, RetScalar>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, typename Lhs::Scalar &res)
-  {
-    product_coeff_vectorized_dyn_selector<Lhs,Rhs>::run(row, col, lhs, rhs, res);
-  }
-};
-
-/*******************
-*** Packet path  ***
-*******************/
-
-template<int UnrollingIndex, typename Lhs, typename Rhs, typename Packet, int LoadMode>
-struct product_packet_impl<RowMajor, UnrollingIndex, Lhs, Rhs, Packet, LoadMode>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Packet &res)
-  {
-    product_packet_impl<RowMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, res);
-    res =  pmadd(pset1<Packet>(lhs.coeff(row, UnrollingIndex)), rhs.template packet<LoadMode>(UnrollingIndex, col), res);
-  }
-};
-
-template<int UnrollingIndex, typename Lhs, typename Rhs, typename Packet, int LoadMode>
-struct product_packet_impl<ColMajor, UnrollingIndex, Lhs, Rhs, Packet, LoadMode>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Packet &res)
-  {
-    product_packet_impl<ColMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, res);
-    res =  pmadd(lhs.template packet<LoadMode>(row, UnrollingIndex), pset1<Packet>(rhs.coeff(UnrollingIndex, col)), res);
-  }
-};
-
-template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
-struct product_packet_impl<RowMajor, 0, Lhs, Rhs, Packet, LoadMode>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Packet &res)
-  {
-    res = pmul(pset1<Packet>(lhs.coeff(row, 0)),rhs.template packet<LoadMode>(0, col));
-  }
-};
-
-template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
-struct product_packet_impl<ColMajor, 0, Lhs, Rhs, Packet, LoadMode>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Packet &res)
-  {
-    res = pmul(lhs.template packet<LoadMode>(row, 0), pset1<Packet>(rhs.coeff(0, col)));
-  }
-};
-
-template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
-struct product_packet_impl<RowMajor, Dynamic, Lhs, Rhs, Packet, LoadMode>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Packet& res)
-  {
-    eigen_assert(lhs.cols()>0 && "you are using a non initialized matrix");
-    res = pmul(pset1<Packet>(lhs.coeff(row, 0)),rhs.template packet<LoadMode>(0, col));
-      for(Index i = 1; i < lhs.cols(); ++i)
-        res =  pmadd(pset1<Packet>(lhs.coeff(row, i)), rhs.template packet<LoadMode>(i, col), res);
-  }
-};
-
-template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
-struct product_packet_impl<ColMajor, Dynamic, Lhs, Rhs, Packet, LoadMode>
-{
-  typedef typename Lhs::Index Index;
-  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Packet& res)
-  {
-    eigen_assert(lhs.cols()>0 && "you are using a non initialized matrix");
-    res = pmul(lhs.template packet<LoadMode>(row, 0), pset1<Packet>(rhs.coeff(0, col)));
-      for(Index i = 1; i < lhs.cols(); ++i)
-        res =  pmadd(lhs.template packet<LoadMode>(row, i), pset1<Packet>(rhs.coeff(i, col)), res);
-  }
-};
-
-} // end namespace internal
-
-#endif // EIGEN_TEST_EVALUATORS
-
-#endif // <EIGEN_TEST_EVALUATORS
-
-} // end namespace Eigen
-
-#endif // EIGEN_COEFFBASED_PRODUCT_H

Eigen/src/Core/products/GeneralMatrixMatrix.h

@@ -367,87 +367,6 @@ class gemm_blocking_space<StorageOrder,_LhsScalar,_RhsScalar,MaxRows, MaxCols, M
 
 } // end namespace internal
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename Lhs, typename Rhs>
-class GeneralProduct<Lhs, Rhs, GemmProduct>
-  : public ProductBase<GeneralProduct<Lhs,Rhs,GemmProduct>, Lhs, Rhs>
-{
-    enum {
-      MaxDepthAtCompileTime = EIGEN_SIZE_MIN_PREFER_FIXED(Lhs::MaxColsAtCompileTime,Rhs::MaxRowsAtCompileTime)
-    };
-  public:
-    EIGEN_PRODUCT_PUBLIC_INTERFACE(GeneralProduct)
-    
-    typedef typename  Lhs::Scalar LhsScalar;
-    typedef typename  Rhs::Scalar RhsScalar;
-    typedef           Scalar      ResScalar;
-
-    GeneralProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
-    {
-      typedef internal::scalar_product_op<LhsScalar,RhsScalar> BinOp;
-      EIGEN_CHECK_BINARY_COMPATIBILIY(BinOp,LhsScalar,RhsScalar);
-    }
-    
-    template<typename Dest>
-    inline void evalTo(Dest& dst) const
-    {
-      if((m_rhs.rows()+dst.rows()+dst.cols())<20 && m_rhs.rows()>0)
-        dst.noalias() = m_lhs .lazyProduct( m_rhs );
-      else
-      {
-        dst.setZero();
-        scaleAndAddTo(dst,Scalar(1));
-      }
-    }
-
-    template<typename Dest>
-    inline void addTo(Dest& dst) const
-    {
-      if((m_rhs.rows()+dst.rows()+dst.cols())<20 && m_rhs.rows()>0)
-        dst.noalias() += m_lhs .lazyProduct( m_rhs );
-      else
-        scaleAndAddTo(dst,Scalar(1));
-    }
-
-    template<typename Dest>
-    inline void subTo(Dest& dst) const
-    {
-      if((m_rhs.rows()+dst.rows()+dst.cols())<20 && m_rhs.rows()>0)
-        dst.noalias() -= m_lhs .lazyProduct( m_rhs );
-      else
-        scaleAndAddTo(dst,Scalar(-1));
-    }
-    
-    template<typename Dest> void scaleAndAddTo(Dest& dst, const Scalar& alpha) const
-    {
-      eigen_assert(dst.rows()==m_lhs.rows() && dst.cols()==m_rhs.cols());
-
-      typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(m_lhs);
-      typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(m_rhs);
-
-      Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(m_lhs)
-                                 * RhsBlasTraits::extractScalarFactor(m_rhs);
-
-      typedef internal::gemm_blocking_space<(Dest::Flags&RowMajorBit) ? RowMajor : ColMajor,LhsScalar,RhsScalar,
-              Dest::MaxRowsAtCompileTime,Dest::MaxColsAtCompileTime,MaxDepthAtCompileTime> BlockingType;
-
-      typedef internal::gemm_functor<
-        Scalar, Index,
-        internal::general_matrix_matrix_product<
-          Index,
-          LhsScalar, (_ActualLhsType::Flags&RowMajorBit) ? RowMajor : ColMajor, bool(LhsBlasTraits::NeedToConjugate),
-          RhsScalar, (_ActualRhsType::Flags&RowMajorBit) ? RowMajor : ColMajor, bool(RhsBlasTraits::NeedToConjugate),
-          (Dest::Flags&RowMajorBit) ? RowMajor : ColMajor>,
-        _ActualLhsType, _ActualRhsType, Dest, BlockingType> GemmFunctor;
-
-      BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), true);
-
-      internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>(GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), this->rows(), this->cols(), Dest::Flags&RowMajorBit);
-    }
-};
-#endif // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_ENABLE_EVALUATORS
 namespace internal {
   
 template<typename Lhs, typename Rhs>
@@ -534,7 +453,6 @@ struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemmProduct>
 };
 
 } // end namespace internal
-#endif // EIGEN_ENABLE_EVALUATORS
 
 } // end namespace Eigen
 

Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h

@@ -261,7 +261,6 @@ struct general_product_to_triangular_selector<MatrixType,ProductType,UpLo,false>
   }
 };
 
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename MatrixType, unsigned int UpLo>
 template<typename ProductType>
 TriangularView<MatrixType,UpLo>& TriangularViewImpl<MatrixType,UpLo,Dense>::_assignProduct(const ProductType& prod, const Scalar& alpha)
@@ -272,19 +271,7 @@ TriangularView<MatrixType,UpLo>& TriangularViewImpl<MatrixType,UpLo,Dense>::_ass
   
   return derived();
 }
-#else
-template<typename MatrixType, unsigned int UpLo>
-template<typename ProductDerived, typename _Lhs, typename _Rhs>
-TriangularView<MatrixType,UpLo>& TriangularViewImpl<MatrixType,UpLo,Dense>::assignProduct(const ProductBase<ProductDerived, _Lhs,_Rhs>& prod, const Scalar& alpha)
-{
-  eigen_assert(derived().rows() == prod.rows() && derived().cols() == prod.cols());
 
-  general_product_to_triangular_selector<MatrixType, ProductDerived, UpLo, (_Lhs::ColsAtCompileTime==1) || (_Rhs::RowsAtCompileTime==1)>
-    ::run(derived().nestedExpression().const_cast_derived(), prod.derived(), alpha);
-  
-  return derived();
-}
-#endif
 } // end namespace Eigen
 
 #endif // EIGEN_GENERAL_MATRIX_MATRIX_TRIANGULAR_H

Eigen/src/Core/products/SelfadjointMatrixMatrix.h

@@ -459,58 +459,6 @@ EIGEN_DONT_INLINE void product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,f
 * Wrapper to product_selfadjoint_matrix
 ***************************************************************************/
 
-#ifndef EIGEN_TEST_EVALUATORS 
-namespace internal {
-template<typename Lhs, int LhsMode, typename Rhs, int RhsMode>
-struct traits<SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,RhsMode,false> >
-  : traits<ProductBase<SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,RhsMode,false>, Lhs, Rhs> >
-{};
-}
-
-template<typename Lhs, int LhsMode, typename Rhs, int RhsMode>
-struct SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,RhsMode,false>
-  : public ProductBase<SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,RhsMode,false>, Lhs, Rhs >
-{
-  EIGEN_PRODUCT_PUBLIC_INTERFACE(SelfadjointProductMatrix)
-
-  SelfadjointProductMatrix(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs) {}
-
-  enum {
-    LhsIsUpper = (LhsMode&(Upper|Lower))==Upper,
-    LhsIsSelfAdjoint = (LhsMode&SelfAdjoint)==SelfAdjoint,
-    RhsIsUpper = (RhsMode&(Upper|Lower))==Upper,
-    RhsIsSelfAdjoint = (RhsMode&SelfAdjoint)==SelfAdjoint
-  };
-
-  template<typename Dest> void scaleAndAddTo(Dest& dst, const Scalar& alpha) const
-  {
-    eigen_assert(dst.rows()==m_lhs.rows() && dst.cols()==m_rhs.cols());
-
-    typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(m_lhs);
-    typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(m_rhs);
-
-    Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(m_lhs)
-                               * RhsBlasTraits::extractScalarFactor(m_rhs);
-
-    internal::product_selfadjoint_matrix<Scalar, Index,
-      EIGEN_LOGICAL_XOR(LhsIsUpper,
-                        internal::traits<Lhs>::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint,
-      NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)),
-      EIGEN_LOGICAL_XOR(RhsIsUpper,
-                        internal::traits<Rhs>::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint,
-      NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)),
-      internal::traits<Dest>::Flags&RowMajorBit  ? RowMajor : ColMajor>
-      ::run(
-        lhs.rows(), rhs.cols(),                     // sizes
-        &lhs.coeffRef(0,0),    lhs.outerStride(),   // lhs info
-        &rhs.coeffRef(0,0),    rhs.outerStride(),   // rhs info
-        &dst.coeffRef(0,0), dst.outerStride(),      // result info
-        actualAlpha                                 // alpha
-      );
-  }
-};
-#endif // EIGEN_TEST_EVALUATORS
-#ifdef EIGEN_ENABLE_EVALUATORS
 namespace internal {
   
 template<typename Lhs, int LhsMode, typename Rhs, int RhsMode>
@@ -560,8 +508,6 @@ struct selfadjoint_product_impl<Lhs,LhsMode,false,Rhs,RhsMode,false>
 
 } // end namespace internal
 
-#endif // EIGEN_ENABLE_EVALUATORS
-
 } // end namespace Eigen
 
 #endif // EIGEN_SELFADJOINT_MATRIX_MATRIX_H

Eigen/src/Core/products/SelfadjointMatrixVector.h

@@ -168,117 +168,6 @@ EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrd
 * Wrapper to product_selfadjoint_vector
 ***************************************************************************/
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-template<typename Lhs, int LhsMode, typename Rhs>
-struct traits<SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,0,true> >
-  : traits<ProductBase<SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,0,true>, Lhs, Rhs> >
-{};
-}
-
-template<typename Lhs, int LhsMode, typename Rhs>
-struct SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,0,true>
-  : public ProductBase<SelfadjointProductMatrix<Lhs,LhsMode,false,Rhs,0,true>, Lhs, Rhs >
-{
-  EIGEN_PRODUCT_PUBLIC_INTERFACE(SelfadjointProductMatrix)
-
-  enum {
-    LhsUpLo = LhsMode&(Upper|Lower)
-  };
-
-  SelfadjointProductMatrix(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs) {}
-
-  template<typename Dest> void scaleAndAddTo(Dest& dest, const Scalar& alpha) const
-  {
-    typedef typename Dest::Scalar ResScalar;
-    typedef typename Base::RhsScalar RhsScalar;
-    typedef Map<Matrix<ResScalar,Dynamic,1>, Aligned> MappedDest;
-    
-    eigen_assert(dest.rows()==m_lhs.rows() && dest.cols()==m_rhs.cols());
-
-    typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(m_lhs);
-    typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(m_rhs);
-
-    Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(m_lhs)
-                               * RhsBlasTraits::extractScalarFactor(m_rhs);
-
-    enum {
-      EvalToDest = (Dest::InnerStrideAtCompileTime==1),
-      UseRhs = (_ActualRhsType::InnerStrideAtCompileTime==1)
-    };
-    
-    internal::gemv_static_vector_if<ResScalar,Dest::SizeAtCompileTime,Dest::MaxSizeAtCompileTime,!EvalToDest> static_dest;
-    internal::gemv_static_vector_if<RhsScalar,_ActualRhsType::SizeAtCompileTime,_ActualRhsType::MaxSizeAtCompileTime,!UseRhs> static_rhs;
-
-    ei_declare_aligned_stack_constructed_variable(ResScalar,actualDestPtr,dest.size(),
-                                                  EvalToDest ? dest.data() : static_dest.data());
-                                                  
-    ei_declare_aligned_stack_constructed_variable(RhsScalar,actualRhsPtr,rhs.size(),
-        UseRhs ? const_cast<RhsScalar*>(rhs.data()) : static_rhs.data());
-    
-    if(!EvalToDest)
-    {
-      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      Index size = dest.size();
-      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      #endif
-      MappedDest(actualDestPtr, dest.size()) = dest;
-    }
-      
-    if(!UseRhs)
-    {
-      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      Index size = rhs.size();
-      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
-      #endif
-      Map<typename _ActualRhsType::PlainObject>(actualRhsPtr, rhs.size()) = rhs;
-    }
-      
-      
-    internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<_ActualLhsType>::Flags&RowMajorBit) ? RowMajor : ColMajor, int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
-      (
-        lhs.rows(),                             // size
-        &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
-        actualRhsPtr, 1,                        // rhs info
-        actualDestPtr,                          // result info
-        actualAlpha                             // scale factor
-      );
-    
-    if(!EvalToDest)
-      dest = MappedDest(actualDestPtr, dest.size());
-  }
-};
-
-namespace internal {
-template<typename Lhs, typename Rhs, int RhsMode>
-struct traits<SelfadjointProductMatrix<Lhs,0,true,Rhs,RhsMode,false> >
-  : traits<ProductBase<SelfadjointProductMatrix<Lhs,0,true,Rhs,RhsMode,false>, Lhs, Rhs> >
-{};
-}
-
-template<typename Lhs, typename Rhs, int RhsMode>
-struct SelfadjointProductMatrix<Lhs,0,true,Rhs,RhsMode,false>
-  : public ProductBase<SelfadjointProductMatrix<Lhs,0,true,Rhs,RhsMode,false>, Lhs, Rhs >
-{
-  EIGEN_PRODUCT_PUBLIC_INTERFACE(SelfadjointProductMatrix)
-
-  enum {
-    RhsUpLo = RhsMode&(Upper|Lower)
-  };
-
-  SelfadjointProductMatrix(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs) {}
-
-  template<typename Dest> void scaleAndAddTo(Dest& dest, const Scalar& alpha) const
-  {
-    // let's simply transpose the product
-    Transpose<Dest> destT(dest);
-    SelfadjointProductMatrix<Transpose<const Rhs>, int(RhsUpLo)==Upper ? Lower : Upper, false,
-                             Transpose<const Lhs>, 0, true>(m_rhs.transpose(), m_lhs.transpose()).scaleAndAddTo(destT, alpha);
-  }
-};
-
-#else // EIGEN_TEST_EVALUATORS
-
 namespace internal {
 
 template<typename Lhs, int LhsMode, typename Rhs>
@@ -378,8 +267,6 @@ struct selfadjoint_product_impl<Lhs,0,true,Rhs,RhsMode,false>
 
 } // end namespace internal
 
-#endif // EIGEN_TEST_EVALUATORS
-
 } // end namespace Eigen
 
 #endif // EIGEN_SELFADJOINT_MATRIX_VECTOR_H

Eigen/src/Core/products/TriangularMatrixMatrix.h

@@ -368,59 +368,9 @@ EIGEN_DONT_INLINE void product_triangular_matrix_matrix<Scalar,Index,Mode,false,
 /***************************************************************************
 * Wrapper to product_triangular_matrix_matrix
 ***************************************************************************/
-#ifndef EIGEN_TEST_EVALUATORS
-template<int Mode, bool LhsIsTriangular, typename Lhs, typename Rhs>
-struct traits<TriangularProduct<Mode,LhsIsTriangular,Lhs,false,Rhs,false> >
-  : traits<ProductBase<TriangularProduct<Mode,LhsIsTriangular,Lhs,false,Rhs,false>, Lhs, Rhs> >
-{};
-#endif
 
 } // end namespace internal
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<int Mode, bool LhsIsTriangular, typename Lhs, typename Rhs>
-struct TriangularProduct<Mode,LhsIsTriangular,Lhs,false,Rhs,false>
-  : public ProductBase<TriangularProduct<Mode,LhsIsTriangular,Lhs,false,Rhs,false>, Lhs, Rhs >
-{
-  EIGEN_PRODUCT_PUBLIC_INTERFACE(TriangularProduct)
-
-  TriangularProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs) {}
-
-  template<typename Dest> void scaleAndAddTo(Dest& dst, const Scalar& alpha) const
-  {
-    typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(m_lhs);
-    typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(m_rhs);
-
-    Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(m_lhs)
-                               * RhsBlasTraits::extractScalarFactor(m_rhs);
-
-    typedef internal::gemm_blocking_space<(Dest::Flags&RowMajorBit) ? RowMajor : ColMajor,Scalar,Scalar,
-              Lhs::MaxRowsAtCompileTime, Rhs::MaxColsAtCompileTime, Lhs::MaxColsAtCompileTime,4> BlockingType;
-
-    enum { IsLower = (Mode&Lower) == Lower };
-    Index stripedRows  = ((!LhsIsTriangular) || (IsLower))  ? lhs.rows() : (std::min)(lhs.rows(),lhs.cols());
-    Index stripedCols  = ((LhsIsTriangular)  || (!IsLower)) ? rhs.cols() : (std::min)(rhs.cols(),rhs.rows());
-    Index stripedDepth = LhsIsTriangular ? ((!IsLower) ? lhs.cols() : (std::min)(lhs.cols(),lhs.rows()))
-                                         : ((IsLower)  ? rhs.rows() : (std::min)(rhs.rows(),rhs.cols()));
-
-    BlockingType blocking(stripedRows, stripedCols, stripedDepth);
-
-    internal::product_triangular_matrix_matrix<Scalar, Index,
-      Mode, LhsIsTriangular,
-      (internal::traits<_ActualLhsType>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
-      (internal::traits<_ActualRhsType>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
-      (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor>
-      ::run(
-        stripedRows, stripedCols, stripedDepth,   // sizes
-        &lhs.coeffRef(0,0),    lhs.outerStride(), // lhs info
-        &rhs.coeffRef(0,0),    rhs.outerStride(), // rhs info
-        &dst.coeffRef(0,0), dst.outerStride(),    // result info
-        actualAlpha, blocking
-      );
-  }
-};
-#endif // EIGEN_TEST_EVALUATORS
-#ifdef EIGEN_ENABLE_EVALUATORS
 namespace internal {
 template<int Mode, bool LhsIsTriangular, typename Lhs, typename Rhs>
 struct triangular_product_impl<Mode,LhsIsTriangular,Lhs,false,Rhs,false>
@@ -470,7 +420,6 @@ struct triangular_product_impl<Mode,LhsIsTriangular,Lhs,false,Rhs,false>
 };
 
 } // end namespace internal
-#endif // EIGEN_ENABLE_EVALUATORS
 
 } // end namespace Eigen
 

Eigen/src/Core/products/TriangularMatrixVector.h

@@ -157,61 +157,11 @@ EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,Con
 * Wrapper to product_triangular_vector
 ***************************************************************************/
 
-#ifndef EIGEN_TEST_EVALUATORS
-
-template<int Mode, bool LhsIsTriangular, typename Lhs, typename Rhs>
-struct traits<TriangularProduct<Mode,LhsIsTriangular,Lhs,false,Rhs,true> >
- : traits<ProductBase<TriangularProduct<Mode,LhsIsTriangular,Lhs,false,Rhs,true>, Lhs, Rhs> >
-{};
-
-template<int Mode, bool LhsIsTriangular, typename Lhs, typename Rhs>
-struct traits<TriangularProduct<Mode,LhsIsTriangular,Lhs,true,Rhs,false> >
- : traits<ProductBase<TriangularProduct<Mode,LhsIsTriangular,Lhs,true,Rhs,false>, Lhs, Rhs> >
-{};
-#endif
-
 template<int Mode,int StorageOrder>
 struct trmv_selector;
 
 } // end namespace internal
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<int Mode, typename Lhs, typename Rhs>
-struct TriangularProduct<Mode,true,Lhs,false,Rhs,true>
-  : public ProductBase<TriangularProduct<Mode,true,Lhs,false,Rhs,true>, Lhs, Rhs >
-{
-  EIGEN_PRODUCT_PUBLIC_INTERFACE(TriangularProduct)
-
-  TriangularProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs) {}
-
-  template<typename Dest> void scaleAndAddTo(Dest& dst, const Scalar& alpha) const
-  {
-    eigen_assert(dst.rows()==m_lhs.rows() && dst.cols()==m_rhs.cols());
-  
-    internal::trmv_selector<Mode,(int(internal::traits<Lhs>::Flags)&RowMajorBit) ? RowMajor : ColMajor>::run(m_lhs, m_rhs, dst, alpha);
-  }
-};
-
-template<int Mode, typename Lhs, typename Rhs>
-struct TriangularProduct<Mode,false,Lhs,true,Rhs,false>
-  : public ProductBase<TriangularProduct<Mode,false,Lhs,true,Rhs,false>, Lhs, Rhs >
-{
-  EIGEN_PRODUCT_PUBLIC_INTERFACE(TriangularProduct)
-
-  TriangularProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs) {}
-
-  template<typename Dest> void scaleAndAddTo(Dest& dst, const Scalar& alpha) const
-  {
-    eigen_assert(dst.rows()==m_lhs.rows() && dst.cols()==m_rhs.cols());
-
-    Transpose<Dest> dstT(dst);
-    internal::trmv_selector<(Mode & (UnitDiag|ZeroDiag)) | ((Mode & Lower) ? Upper : Lower),
-                            (int(internal::traits<Rhs>::Flags)&RowMajorBit) ? ColMajor : RowMajor>
-            ::run(m_rhs.transpose(),m_lhs.transpose(), dstT, alpha);
-  }
-};
-
-#else // EIGEN_TEST_EVALUATORS
 namespace internal {
 
 template<int Mode, typename Lhs, typename Rhs>
@@ -240,7 +190,6 @@ struct triangular_product_impl<Mode,false,Lhs,true,Rhs,false>
 };
 
 } // end namespace internal
-#endif // EIGEN_TEST_EVALUATORS
 
 namespace internal {
 

Eigen/src/Core/util/ForwardDeclarations.h

@@ -139,10 +139,6 @@ template<typename ExpressionType> class ArrayWrapper;
 template<typename ExpressionType> class MatrixWrapper;
 
 namespace internal {
-#ifndef EIGEN_TEST_EVALUATROS
-template<typename DecompositionType, typename Rhs> struct solve_retval_base;
-template<typename DecompositionType, typename Rhs> struct solve_retval;
-#endif
 template<typename DecompositionType> struct kernel_retval_base;
 template<typename DecompositionType> struct kernel_retval;
 template<typename DecompositionType> struct image_retval_base;

Eigen/src/Core/util/Macros.h

@@ -374,46 +374,6 @@ namespace Eigen {
 * documentation in a single line.
 **/
 
-#ifndef EIGEN_TEST_EVALUATORS
-
-#define EIGEN_GENERIC_PUBLIC_INTERFACE(Derived) \
-  typedef typename Eigen::internal::traits<Derived>::Scalar Scalar; /*!< \brief Numeric type, e.g. float, double, int or std::complex<float>. */ \
-  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; /*!< \brief The underlying numeric type for composed scalar types. \details In cases where Scalar is e.g. std::complex<T>, T were corresponding to RealScalar. */ \
-  typedef typename Base::CoeffReturnType CoeffReturnType; /*!< \brief The return type for coefficient access. \details Depending on whether the object allows direct coefficient access (e.g. for a MatrixXd), this type is either 'const Scalar&' or simply 'Scalar' for objects that do not allow direct coefficient access. */ \
-  typedef typename Eigen::internal::nested<Derived>::type Nested; \
-  typedef typename Eigen::internal::traits<Derived>::StorageKind StorageKind; \
-  typedef typename Eigen::internal::traits<Derived>::Index Index; \
-  enum { RowsAtCompileTime = Eigen::internal::traits<Derived>::RowsAtCompileTime, \
-        ColsAtCompileTime = Eigen::internal::traits<Derived>::ColsAtCompileTime, \
-        Flags = Eigen::internal::traits<Derived>::Flags, \
-        CoeffReadCost = Eigen::internal::traits<Derived>::CoeffReadCost, \
-        SizeAtCompileTime = Base::SizeAtCompileTime, \
-        MaxSizeAtCompileTime = Base::MaxSizeAtCompileTime, \
-        IsVectorAtCompileTime = Base::IsVectorAtCompileTime };
-
-
-#define EIGEN_DENSE_PUBLIC_INTERFACE(Derived) \
-  typedef typename Eigen::internal::traits<Derived>::Scalar Scalar; /*!< \brief Numeric type, e.g. float, double, int or std::complex<float>. */ \
-  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; /*!< \brief The underlying numeric type for composed scalar types. \details In cases where Scalar is e.g. std::complex<T>, T were corresponding to RealScalar. */ \
-  typedef typename Base::PacketScalar PacketScalar; \
-  typedef typename Base::CoeffReturnType CoeffReturnType; /*!< \brief The return type for coefficient access. \details Depending on whether the object allows direct coefficient access (e.g. for a MatrixXd), this type is either 'const Scalar&' or simply 'Scalar' for objects that do not allow direct coefficient access. */ \
-  typedef typename Eigen::internal::nested<Derived>::type Nested; \
-  typedef typename Eigen::internal::traits<Derived>::StorageKind StorageKind; \
-  typedef typename Eigen::internal::traits<Derived>::Index Index; \
-  enum { RowsAtCompileTime = Eigen::internal::traits<Derived>::RowsAtCompileTime, \
-        ColsAtCompileTime = Eigen::internal::traits<Derived>::ColsAtCompileTime, \
-        MaxRowsAtCompileTime = Eigen::internal::traits<Derived>::MaxRowsAtCompileTime, \
-        MaxColsAtCompileTime = Eigen::internal::traits<Derived>::MaxColsAtCompileTime, \
-        Flags = Eigen::internal::traits<Derived>::Flags, \
-        CoeffReadCost = Eigen::internal::traits<Derived>::CoeffReadCost, \
-        SizeAtCompileTime = Base::SizeAtCompileTime, \
-        MaxSizeAtCompileTime = Base::MaxSizeAtCompileTime, \
-        IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; \
-  using Base::derived; \
-  using Base::const_cast_derived;
-
-#else
-
 // TODO The EIGEN_DENSE_PUBLIC_INTERFACE should not exists anymore
   
 #define EIGEN_GENERIC_PUBLIC_INTERFACE(Derived) \
@@ -450,8 +410,6 @@ namespace Eigen {
   using Base::derived; \
   using Base::const_cast_derived;  
 
-#endif // EIGEN_TEST_EVALUATORS
-  
 #define EIGEN_PLAIN_ENUM_MIN(a,b) (((int)a <= (int)b) ? (int)a : (int)b)
 #define EIGEN_PLAIN_ENUM_MAX(a,b) (((int)a >= (int)b) ? (int)a : (int)b)
 

Eigen/src/Core/util/XprHelper.h

@@ -125,43 +125,6 @@ template<typename _Scalar, int _Rows, int _Cols,
     typedef Matrix<_Scalar, _Rows, _Cols, Options, _MaxRows, _MaxCols> type;
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
-class compute_matrix_flags
-{
-    enum {
-      row_major_bit = Options&RowMajor ? RowMajorBit : 0,
-      is_dynamic_size_storage = MaxRows==Dynamic || MaxCols==Dynamic,
-
-      aligned_bit =
-      (
-            ((Options&DontAlign)==0)
-        && (
-#if EIGEN_ALIGN_STATICALLY
-             ((!is_dynamic_size_storage) && (((MaxCols*MaxRows*int(sizeof(Scalar))) % EIGEN_ALIGN_BYTES) == 0))
-#else
-             0
-#endif
-
-          ||
-
-#if EIGEN_ALIGN
-             is_dynamic_size_storage
-#else
-             0
-#endif
-
-          )
-      ) ? AlignedBit : 0,
-      packet_access_bit = packet_traits<Scalar>::Vectorizable && aligned_bit ? PacketAccessBit : 0
-    };
-
-  public:
-    enum { ret = LinearAccessBit | LvalueBit | DirectAccessBit | NestByRefBit | packet_access_bit | row_major_bit | aligned_bit };
-};
-
-#else // EIGEN_TEST_EVALUATORS
-
 template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
 class compute_matrix_flags
 {
@@ -172,9 +135,7 @@ class compute_matrix_flags
     // However, I (Gael) think that DirectAccessBit should only matter at the evaluation stage.
     enum { ret = DirectAccessBit | LvalueBit | NestByRefBit | row_major_bit };
 };
-#endif
 
-#ifdef EIGEN_ENABLE_EVALUATORS
 template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
 class compute_matrix_evaluator_flags
 {
@@ -209,8 +170,6 @@ class compute_matrix_evaluator_flags
     enum { ret = LinearAccessBit | DirectAccessBit | packet_access_bit | row_major_bit | aligned_bit };
 };
 
-#endif // EIGEN_ENABLE_EVALUATORS
-
 template<int _Rows, int _Cols> struct size_at_compile_time
 {
   enum { ret = (_Rows==Dynamic || _Cols==Dynamic) ? Dynamic : _Rows * _Cols };
@@ -361,58 +320,6 @@ struct transfer_constness
 };
 
 
-
-#ifndef EIGEN_TEST_EVALUATORS
-
-/** \internal Determines how a given expression should be nested into another one.
-  * For example, when you do a * (b+c), Eigen will determine how the expression b+c should be
-  * nested into the bigger product expression. The choice is between nesting the expression b+c as-is, or
-  * evaluating that expression b+c into a temporary variable d, and nest d so that the resulting expression is
-  * a*d. Evaluating can be beneficial for example if every coefficient access in the resulting expression causes
-  * many coefficient accesses in the nested expressions -- as is the case with matrix product for example.
-  *
-  * \param T the type of the expression being nested
-  * \param n the number of coefficient accesses in the nested expression for each coefficient access in the bigger expression.
-  *
-  * Note that if no evaluation occur, then the constness of T is preserved.
-  *
-  * Example. Suppose that a, b, and c are of type Matrix3d. The user forms the expression a*(b+c).
-  * b+c is an expression "sum of matrices", which we will denote by S. In order to determine how to nest it,
-  * the Product expression uses: nested<S, 3>::type, which turns out to be Matrix3d because the internal logic of
-  * nested determined that in this case it was better to evaluate the expression b+c into a temporary. On the other hand,
-  * since a is of type Matrix3d, the Product expression nests it as nested<Matrix3d, 3>::type, which turns out to be
-  * const Matrix3d&, because the internal logic of nested determined that since a was already a matrix, there was no point
-  * in copying it into another matrix.
-  */
-template<typename T, int n=1, typename PlainObject = typename eval<T>::type> struct nested
-{
-  enum {
-    // for the purpose of this test, to keep it reasonably simple, we arbitrarily choose a value of Dynamic values.
-    // the choice of 10000 makes it larger than any practical fixed value and even most dynamic values.
-    // in extreme cases where these assumptions would be wrong, we would still at worst suffer performance issues
-    // (poor choice of temporaries).
-    // it's important that this value can still be squared without integer overflowing.
-    DynamicAsInteger = 10000,
-    ScalarReadCost = NumTraits<typename traits<T>::Scalar>::ReadCost,
-    ScalarReadCostAsInteger = ScalarReadCost == Dynamic ? int(DynamicAsInteger) : int(ScalarReadCost),
-    CoeffReadCost = traits<T>::CoeffReadCost,
-    CoeffReadCostAsInteger = CoeffReadCost == Dynamic ? int(DynamicAsInteger) : int(CoeffReadCost),
-    NAsInteger = n == Dynamic ? int(DynamicAsInteger) : n,
-    CostEvalAsInteger   = (NAsInteger+1) * ScalarReadCostAsInteger + CoeffReadCostAsInteger,
-    CostNoEvalAsInteger = NAsInteger * CoeffReadCostAsInteger
-  };
-
-  typedef typename conditional<
-      ( (int(traits<T>::Flags) & EvalBeforeNestingBit) ||
-        int(CostEvalAsInteger) < int(CostNoEvalAsInteger)
-      ),
-      PlainObject,
-      typename ref_selector<T>::type
-  >::type type;
-};
-
-#else
-
 // When using evaluators, we never evaluate when assembling the expression!!
 // TODO: get rid of this nested class since it's just an alias for ref_selector.
 template<typename T, int n=1, typename PlainObject = void> struct nested
@@ -420,12 +327,20 @@ template<typename T, int n=1, typename PlainObject = void> struct nested
   typedef typename ref_selector<T>::type type;
 };
 
-#endif // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_ENABLE_EVALUATORS
 // However, we still need a mechanism to detect whether an expression which is evaluated multiple time
 // has to be evaluated into a temporary.
-// That's the purpose of this new nested_eval helper: 
+// That's the purpose of this new nested_eval helper:
+/** \internal Determines how a given expression should be nested when evaluated multiple times.
+  * For example, when you do a * (b+c), Eigen will determine how the expression b+c should be
+  * evaluated into the bigger product expression. The choice is between nesting the expression b+c as-is, or
+  * evaluating that expression b+c into a temporary variable d, and nest d so that the resulting expression is
+  * a*d. Evaluating can be beneficial for example if every coefficient access in the resulting expression causes
+  * many coefficient accesses in the nested expressions -- as is the case with matrix product for example.
+  *
+  * \param T the type of the expression being nested.
+  * \param n the number of coefficient accesses in the nested expression for each coefficient access in the bigger expression.
+  * \param PlainObject the type of the temporary if needed.
+  */
 template<typename T, int n, typename PlainObject = typename eval<T>::type> struct nested_eval
 {
   enum {
@@ -453,7 +368,6 @@ template<typename T, int n, typename PlainObject = typename eval<T>::type> struc
         typename ref_selector<T>::type
   >::type type;
 };
-#endif
 
 template<typename T>
 EIGEN_DEVICE_FUNC

Eigen/src/Geometry/AlignedBox.h

@@ -71,11 +71,7 @@ EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(_Scalar,_AmbientDim)
   template<typename Derived>
   inline explicit AlignedBox(const MatrixBase<Derived>& a_p)
   {
-#ifndef EIGEN_TEST_EVALUATORS
-    typename internal::nested<Derived,2>::type p(a_p.derived());
-#else
     typename internal::nested_eval<Derived,2>::type p(a_p.derived());
-#endif
     m_min = p;
     m_max = p;
   }

Eigen/src/Geometry/Homogeneous.h

@@ -49,9 +49,6 @@ struct traits<Homogeneous<MatrixType,Direction> >
     Flags = ColsAtCompileTime==1 ? (TmpFlags & ~RowMajorBit)
           : RowsAtCompileTime==1 ? (TmpFlags | RowMajorBit)
           : TmpFlags
-#ifndef EIGEN_TEST_EVALUATORS
-    , CoeffReadCost = _MatrixTypeNested::CoeffReadCost
-#endif // EIGEN_TEST_EVALUATORS
   };
 };
 
@@ -80,39 +77,6 @@ template<typename MatrixType,int _Direction> class Homogeneous
     
     const NestedExpression& nestedExpression() const { return m_matrix; }
 
-#ifndef EIGEN_TEST_EVALUATORS
-    inline Scalar coeff(Index row, Index col) const
-    {
-      if(  (int(Direction)==Vertical   && row==m_matrix.rows())
-        || (int(Direction)==Horizontal && col==m_matrix.cols()))
-        return 1;
-      return m_matrix.coeff(row, col);
-    }
-
-    template<typename Rhs>
-    inline const internal::homogeneous_right_product_impl<Homogeneous,Rhs>
-    operator* (const MatrixBase<Rhs>& rhs) const
-    {
-      eigen_assert(int(Direction)==Horizontal);
-      return internal::homogeneous_right_product_impl<Homogeneous,Rhs>(m_matrix,rhs.derived());
-    }
-
-    template<typename Lhs> friend
-    inline const internal::homogeneous_left_product_impl<Homogeneous,Lhs>
-    operator* (const MatrixBase<Lhs>& lhs, const Homogeneous& rhs)
-    {
-      eigen_assert(int(Direction)==Vertical);
-      return internal::homogeneous_left_product_impl<Homogeneous,Lhs>(lhs.derived(),rhs.m_matrix);
-    }
-
-    template<typename Scalar, int Dim, int Mode, int Options> friend
-    inline const internal::homogeneous_left_product_impl<Homogeneous,Transform<Scalar,Dim,Mode,Options> >
-    operator* (const Transform<Scalar,Dim,Mode,Options>& lhs, const Homogeneous& rhs)
-    {
-      eigen_assert(int(Direction)==Vertical);
-      return internal::homogeneous_left_product_impl<Homogeneous,Transform<Scalar,Dim,Mode,Options> >(lhs,rhs.m_matrix);
-    }
-#else
     template<typename Rhs>
     inline const Product<Homogeneous,Rhs>
     operator* (const MatrixBase<Rhs>& rhs) const
@@ -136,7 +100,6 @@ template<typename MatrixType,int _Direction> class Homogeneous
       eigen_assert(int(Direction)==Vertical);
       return Product<Transform<Scalar,Dim,Mode,Options>, Homogeneous>(lhs,rhs);
     }
-#endif
 
     template<typename Func>
     EIGEN_STRONG_INLINE typename internal::result_of<Func(Scalar)>::type
@@ -338,8 +301,6 @@ struct homogeneous_right_product_impl<Homogeneous<MatrixType,Horizontal>,Rhs>
   typename Rhs::Nested m_rhs;
 };
 
-#ifdef EIGEN_TEST_EVALUATORS
-
 template<typename ArgType,int Direction>
 struct evaluator_traits<Homogeneous<ArgType,Direction> >
 {
@@ -427,8 +388,6 @@ struct generic_product_impl<Transform<Scalar,Dim,Mode,Options>, Homogeneous<RhsA
   }
 };
 
-#endif // EIGEN_TEST_EVALUATORS
-
 } // end namespace internal
 
 } // end namespace Eigen

Eigen/src/Geometry/OrthoMethods.h

@@ -30,13 +30,8 @@ MatrixBase<Derived>::cross(const MatrixBase<OtherDerived>& other) const
 
   // Note that there is no need for an expression here since the compiler
   // optimize such a small temporary very well (even within a complex expression)
-#ifndef EIGEN_TEST_EVALUATORS
-  typename internal::nested<Derived,2>::type lhs(derived());
-  typename internal::nested<OtherDerived,2>::type rhs(other.derived());
-#else
   typename internal::nested_eval<Derived,2>::type lhs(derived());
   typename internal::nested_eval<OtherDerived,2>::type rhs(other.derived());
-#endif
   return typename cross_product_return_type<OtherDerived>::type(
     numext::conj(lhs.coeff(1) * rhs.coeff(2) - lhs.coeff(2) * rhs.coeff(1)),
     numext::conj(lhs.coeff(2) * rhs.coeff(0) - lhs.coeff(0) * rhs.coeff(2)),
@@ -81,13 +76,8 @@ MatrixBase<Derived>::cross3(const MatrixBase<OtherDerived>& other) const
   EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Derived,4)
   EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(OtherDerived,4)
 
-#ifndef EIGEN_TEST_EVALUATORS
-  typedef typename internal::nested<Derived,2>::type DerivedNested;
-  typedef typename internal::nested<OtherDerived,2>::type OtherDerivedNested;
-#else
   typedef typename internal::nested_eval<Derived,2>::type DerivedNested;
   typedef typename internal::nested_eval<OtherDerived,2>::type OtherDerivedNested;
-#endif
   DerivedNested lhs(derived());
   OtherDerivedNested rhs(other.derived());
 
@@ -114,13 +104,8 @@ VectorwiseOp<ExpressionType,Direction>::cross(const MatrixBase<OtherDerived>& ot
   EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
     YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
   
-#ifndef EIGEN_TEST_EVALUATORS
-  typename internal::nested<ExpressionType,2>::type mat(_expression());
-  typename internal::nested<OtherDerived,2>::type vec(other.derived());
-#else
   typename internal::nested_eval<ExpressionType,2>::type mat(_expression());
   typename internal::nested_eval<OtherDerived,2>::type vec(other.derived());
-#endif
 
   CrossReturnType res(_expression().rows(),_expression().cols());
   if(Direction==Vertical)

Eigen/src/Geometry/Quaternion.h

@@ -217,11 +217,7 @@ struct traits<Quaternion<_Scalar,_Options> >
   typedef _Scalar Scalar;
   typedef Matrix<_Scalar,4,1,_Options> Coefficients;
   enum{
-#ifndef EIGEN_TEST_EVALUATORS
-    IsAligned = internal::traits<Coefficients>::Flags & AlignedBit,
-#else
     IsAligned = (internal::traits<Coefficients>::EvaluatorFlags & AlignedBit) != 0,
-#endif
     Flags = IsAligned ? (AlignedBit | LvalueBit) : LvalueBit
   };
 };

Eigen/src/Geometry/Transform.h

@@ -62,7 +62,6 @@ struct transform_construct_from_matrix;
 
 template<typename TransformType> struct transform_take_affine_part;
 
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename _Scalar, int _Dim, int _Mode, int _Options>
 struct traits<Transform<_Scalar,_Dim,_Mode,_Options> >
 {
@@ -78,7 +77,6 @@ struct traits<Transform<_Scalar,_Dim,_Mode,_Options> >
     Flags = 0
   };
 };
-#endif
 
 } // end namespace internal
 
@@ -374,10 +372,8 @@ public:
   inline QTransform toQTransform(void) const;
   #endif
   
-#ifdef EIGEN_TEST_EVALUATORS
   Index rows() const { return int(Mode)==int(Projective) ? m_matrix.cols() : (m_matrix.cols()-1); }
   Index cols() const { return m_matrix.cols(); }
-#endif
 
   /** shortcut for m_matrix(row,col);
     * \sa MatrixBase::operator(Index,Index) const */

Eigen/src/Householder/HouseholderSequence.h

@@ -73,8 +73,6 @@ struct traits<HouseholderSequence<VectorsType,CoeffsType,Side> >
   };
 };
 
-#ifdef EIGEN_TEST_EVALUATORS
-
 struct HouseholderSequenceShape {};
 
 template<typename VectorsType, typename CoeffsType, int Side>
@@ -83,7 +81,6 @@ struct evaluator_traits<HouseholderSequence<VectorsType,CoeffsType,Side> >
 {
   typedef HouseholderSequenceShape Shape;
 };
-#endif
 
 template<typename VectorsType, typename CoeffsType, int Side>
 struct hseq_side_dependent_impl

Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h

@@ -87,16 +87,6 @@ class DiagonalPreconditioner
       x = m_invdiag.array() * b.array() ;
     }
 
-#ifndef EIGEN_TEST_EVALUATORS
-    template<typename Rhs> inline const internal::solve_retval<DiagonalPreconditioner, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "DiagonalPreconditioner is not initialized.");
-      eigen_assert(m_invdiag.size()==b.rows()
-                && "DiagonalPreconditioner::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<DiagonalPreconditioner, Rhs>(*this, b.derived());
-    }
-#else
     template<typename Rhs> inline const Solve<DiagonalPreconditioner, Rhs>
     solve(const MatrixBase<Rhs>& b) const
     {
@@ -105,31 +95,12 @@ class DiagonalPreconditioner
                 && "DiagonalPreconditioner::solve(): invalid number of rows of the right hand side matrix b");
       return Solve<DiagonalPreconditioner, Rhs>(*this, b.derived());
     }
-#endif
 
   protected:
     Vector m_invdiag;
     bool m_isInitialized;
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-
-template<typename _MatrixType, typename Rhs>
-struct solve_retval<DiagonalPreconditioner<_MatrixType>, Rhs>
-  : solve_retval_base<DiagonalPreconditioner<_MatrixType>, Rhs>
-{
-  typedef DiagonalPreconditioner<_MatrixType> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-
-}
-#endif // EIGEN_TEST_EVALUATORS
 
 /** \ingroup IterativeLinearSolvers_Module
   * \brief A naive preconditioner which approximates any matrix as the identity matrix

Eigen/src/IterativeLinearSolvers/BiCGSTAB.h

@@ -182,24 +182,6 @@ public:
 
   ~BiCGSTAB() {}
 
-#ifndef EIGEN_TEST_EVALUATORS
-  /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A
-    * \a x0 as an initial solution.
-    *
-    * \sa compute()
-    */
-  template<typename Rhs,typename Guess>
-  inline const internal::solve_retval_with_guess<BiCGSTAB, Rhs, Guess>
-  solveWithGuess(const MatrixBase<Rhs>& b, const Guess& x0) const
-  {
-    eigen_assert(m_isInitialized && "BiCGSTAB is not initialized.");
-    eigen_assert(Base::rows()==b.rows()
-              && "BiCGSTAB::solve(): invalid number of rows of the right hand side matrix b");
-    return internal::solve_retval_with_guess
-            <BiCGSTAB, Rhs, Guess>(*this, b.derived(), x0);
-  }
-#endif
-
   /** \internal */
   template<typename Rhs,typename Dest>
   void _solve_with_guess_impl(const Rhs& b, Dest& x) const
@@ -234,25 +216,6 @@ protected:
 
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-
-template<typename _MatrixType, typename _Preconditioner, typename Rhs>
-struct solve_retval<BiCGSTAB<_MatrixType, _Preconditioner>, Rhs>
-  : solve_retval_base<BiCGSTAB<_MatrixType, _Preconditioner>, Rhs>
-{
-  typedef BiCGSTAB<_MatrixType, _Preconditioner> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-
-} // end namespace internal
-#endif
-
 } // end namespace Eigen
 
 #endif // EIGEN_BICGSTAB_H

Eigen/src/IterativeLinearSolvers/ConjugateGradient.h

@@ -192,24 +192,6 @@ public:
   ConjugateGradient(const MatrixType& A) : Base(A) {}
 
   ~ConjugateGradient() {}
-  
-#ifndef EIGEN_TEST_EVALUATORS
-  /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A
-    * \a x0 as an initial solution.
-    *
-    * \sa compute()
-    */
-  template<typename Rhs,typename Guess>
-  inline const internal::solve_retval_with_guess<ConjugateGradient, Rhs, Guess>
-  solveWithGuess(const MatrixBase<Rhs>& b, const Guess& x0) const
-  {
-    eigen_assert(m_isInitialized && "ConjugateGradient is not initialized.");
-    eigen_assert(Base::rows()==b.rows()
-              && "ConjugateGradient::solve(): invalid number of rows of the right hand side matrix b");
-    return internal::solve_retval_with_guess
-            <ConjugateGradient, Rhs, Guess>(*this, b.derived(), x0);
-  }
-#endif
 
   /** \internal */
   template<typename Rhs,typename Dest>
@@ -245,25 +227,6 @@ protected:
 
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-
-template<typename _MatrixType, int _UpLo, typename _Preconditioner, typename Rhs>
-struct solve_retval<ConjugateGradient<_MatrixType,_UpLo,_Preconditioner>, Rhs>
-  : solve_retval_base<ConjugateGradient<_MatrixType,_UpLo,_Preconditioner>, Rhs>
-{
-  typedef ConjugateGradient<_MatrixType,_UpLo,_Preconditioner> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-
-} // end namespace internal
-#endif
-
 } // end namespace Eigen
 
 #endif // EIGEN_CONJUGATE_GRADIENT_H

Eigen/src/IterativeLinearSolvers/IncompleteLUT.h

@@ -171,17 +171,6 @@ class IncompleteLUT : public SparseSolverBase<IncompleteLUT<_Scalar> >
       x = m_P * x; 
     }
 
-#ifndef EIGEN_TEST_EVALUATORS
-    template<typename Rhs> inline const internal::solve_retval<IncompleteLUT, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "IncompleteLUT is not initialized.");
-      eigen_assert(cols()==b.rows()
-                && "IncompleteLUT::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<IncompleteLUT, Rhs>(*this, b.derived());
-    }
-#endif
-
 protected:
 
     /** keeps off-diagonal entries; drops diagonal entries */
@@ -451,25 +440,6 @@ void IncompleteLUT<Scalar>::factorize(const _MatrixType& amat)
   m_info = Success;
 }
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-
-template<typename _MatrixType, typename Rhs>
-struct solve_retval<IncompleteLUT<_MatrixType>, Rhs>
-  : solve_retval_base<IncompleteLUT<_MatrixType>, Rhs>
-{
-  typedef IncompleteLUT<_MatrixType> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-
-} // end namespace internal
-#endif // EIGEN_TEST_EVALUATORS
-
 } // end namespace Eigen
 
 #endif // EIGEN_INCOMPLETE_LUT_H

Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h

@@ -162,38 +162,6 @@ public:
     return m_error;
   }
 
-#ifndef EIGEN_TEST_EVALUATORS
-  /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-    *
-    * \sa compute()
-    */
-  template<typename Rhs> inline const internal::solve_retval<Derived, Rhs>
-  solve(const MatrixBase<Rhs>& b) const
-  {
-    eigen_assert(m_isInitialized && "IterativeSolverBase is not initialized.");
-    eigen_assert(rows()==b.rows()
-              && "IterativeSolverBase::solve(): invalid number of rows of the right hand side matrix b");
-    return internal::solve_retval<Derived, Rhs>(derived(), b.derived());
-  }
-#endif
-  
-#ifndef EIGEN_TEST_EVALUATORS
-  /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-    *
-    * \sa compute()
-    */
-  template<typename Rhs>
-  inline const internal::sparse_solve_retval<IterativeSolverBase, Rhs>
-  solve(const SparseMatrixBase<Rhs>& b) const
-  {
-    eigen_assert(m_isInitialized && "IterativeSolverBase is not initialized.");
-    eigen_assert(rows()==b.rows()
-              && "IterativeSolverBase::solve(): invalid number of rows of the right hand side matrix b");
-    return internal::sparse_solve_retval<IterativeSolverBase, Rhs>(*this, b.derived());
-  }
-#endif // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_TEST_EVALUATORS
   /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A
     * and \a x0 as an initial solution.
     *
@@ -207,7 +175,6 @@ public:
     eigen_assert(derived().rows()==b.rows() && "solve(): invalid number of rows of the right hand side matrix b");
     return SolveWithGuess<Derived, Rhs, Guess>(derived(), b.derived(), x0);
   }
-#endif // EIGEN_TEST_EVALUATORS
 
   /** \returns Success if the iterations converged, and NoConvergence otherwise. */
   ComputationInfo info() const
@@ -216,25 +183,6 @@ public:
     return m_info;
   }
   
-#ifndef EIGEN_TEST_EVALUATORS
-  /** \internal */
-  template<typename Rhs, typename DestScalar, int DestOptions, typename DestIndex>
-  void _solve_sparse(const Rhs& b, SparseMatrix<DestScalar,DestOptions,DestIndex> &dest) const
-  {
-    eigen_assert(rows()==b.rows());
-    
-    int rhsCols = b.cols();
-    int size = b.rows();
-    Eigen::Matrix<DestScalar,Dynamic,1> tb(size);
-    Eigen::Matrix<DestScalar,Dynamic,1> tx(size);
-    for(int k=0; k<rhsCols; ++k)
-    {
-      tb = b.col(k);
-      tx = derived().solve(tb);
-      dest.col(k) = tx.sparseView(0);
-    }
-  }
-#else
   /** \internal */
   template<typename Rhs, typename DestScalar, int DestOptions, typename DestIndex>
   void _solve_impl(const Rhs& b, SparseMatrix<DestScalar,DestOptions,DestIndex> &dest) const
@@ -252,7 +200,6 @@ public:
       dest.col(k) = tx.sparseView(0);
     }
   }
-#endif // EIGEN_TEST_EVALUATORS
 
 protected:
   void init()
@@ -275,25 +222,6 @@ protected:
   mutable bool m_analysisIsOk, m_factorizationIsOk;
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
- 
-template<typename Derived, typename Rhs>
-struct sparse_solve_retval<IterativeSolverBase<Derived>, Rhs>
-  : sparse_solve_retval_base<IterativeSolverBase<Derived>, Rhs>
-{
-  typedef IterativeSolverBase<Derived> Dec;
-  EIGEN_MAKE_SPARSE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec().derived()._solve_sparse(rhs(),dst);
-  }
-};
-
-} // end namespace internal
-#endif // EIGEN_TEST_EVALUATORS
-
 } // end namespace Eigen
 
 #endif // EIGEN_ITERATIVE_SOLVER_BASE_H

Eigen/src/LU/Determinant.h

@@ -92,11 +92,7 @@ template<typename Derived>
 inline typename internal::traits<Derived>::Scalar MatrixBase<Derived>::determinant() const
 {
   eigen_assert(rows() == cols());
-#ifdef EIGEN_TEST_EVALUATORS
   typedef typename internal::nested_eval<Derived,Base::RowsAtCompileTime>::type Nested;
-#else
-  typedef typename internal::nested<Derived,Base::RowsAtCompileTime>::type Nested;
-#endif
   return internal::determinant_impl<typename internal::remove_all<Nested>::type>::run(derived());
 }
 

Eigen/src/LU/FullPivLU.h

@@ -220,7 +220,6 @@ template<typename _MatrixType> class FullPivLU
       *
       * \sa TriangularView::solve(), kernel(), inverse()
       */
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename Rhs>
     inline const Solve<FullPivLU, Rhs>
     solve(const MatrixBase<Rhs>& b) const
@@ -228,15 +227,6 @@ template<typename _MatrixType> class FullPivLU
       eigen_assert(m_isInitialized && "LU is not initialized.");
       return Solve<FullPivLU, Rhs>(*this, b.derived());
     }
-#else
-    template<typename Rhs>
-    inline const internal::solve_retval<FullPivLU, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "LU is not initialized.");
-      return internal::solve_retval<FullPivLU, Rhs>(*this, b.derived());
-    }
-#endif
 
     /** \returns the determinant of the matrix of which
       * *this is the LU decomposition. It has only linear complexity
@@ -380,22 +370,12 @@ template<typename _MatrixType> class FullPivLU
       *
       * \sa MatrixBase::inverse()
       */
-#ifdef EIGEN_TEST_EVALUATORS
     inline const Inverse<FullPivLU> inverse() const
     {
       eigen_assert(m_isInitialized && "LU is not initialized.");
       eigen_assert(m_lu.rows() == m_lu.cols() && "You can't take the inverse of a non-square matrix!");
       return Inverse<FullPivLU>(*this);
     }
-#else
-    inline const internal::solve_retval<FullPivLU,typename MatrixType::IdentityReturnType> inverse() const
-    {
-      eigen_assert(m_isInitialized && "LU is not initialized.");
-      eigen_assert(m_lu.rows() == m_lu.cols() && "You can't take the inverse of a non-square matrix!");
-      return internal::solve_retval<FullPivLU,typename MatrixType::IdentityReturnType>
-               (*this, MatrixType::Identity(m_lu.rows(), m_lu.cols()));
-    }
-#endif
 
     MatrixType reconstructedMatrix() const;
 
@@ -752,22 +732,8 @@ void FullPivLU<_MatrixType>::_solve_impl(const RhsType &rhs, DstType &dst) const
 
 namespace internal {
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename _MatrixType, typename Rhs>
-struct solve_retval<FullPivLU<_MatrixType>, Rhs>
-  : solve_retval_base<FullPivLU<_MatrixType>, Rhs>
-{
-  EIGEN_MAKE_SOLVE_HELPERS(FullPivLU<_MatrixType>,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(), dst);
-  }
-};
-#endif
 
 /***** Implementation of inverse() *****************************************************/
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename DstXprType, typename MatrixType, typename Scalar>
 struct Assignment<DstXprType, Inverse<FullPivLU<MatrixType> >, internal::assign_op<Scalar>, Dense2Dense, Scalar>
 {
@@ -778,7 +744,6 @@ struct Assignment<DstXprType, Inverse<FullPivLU<MatrixType> >, internal::assign_
     dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
   }
 };
-#endif
 } // end namespace internal
 
 /******* MatrixBase methods *****************************************************************/

Eigen/src/LU/InverseImpl.h

@@ -43,12 +43,8 @@ struct compute_inverse<MatrixType, ResultType, 1>
   static inline void run(const MatrixType& matrix, ResultType& result)
   {
     typedef typename MatrixType::Scalar Scalar;
-#ifdef EIGEN_TEST_EVALUATORS
     typename internal::evaluator<MatrixType>::type matrixEval(matrix);
     result.coeffRef(0,0) = Scalar(1) / matrixEval.coeff(0,0);
-#else
-    result.coeffRef(0,0) = Scalar(1) / matrix.coeff(0,0);
-#endif
   }
 };
 
@@ -285,46 +281,8 @@ struct compute_inverse_and_det_with_check<MatrixType, ResultType, 4>
 *** MatrixBase methods ***
 *************************/
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename MatrixType>
-struct traits<inverse_impl<MatrixType> >
-{
-  typedef typename MatrixType::PlainObject ReturnType;
-};
-
-template<typename MatrixType>
-struct inverse_impl : public ReturnByValue<inverse_impl<MatrixType> >
-{
-  typedef typename MatrixType::Index Index;
-  typedef typename internal::eval<MatrixType>::type MatrixTypeNested;
-  typedef typename remove_all<MatrixTypeNested>::type MatrixTypeNestedCleaned;
-  MatrixTypeNested m_matrix;
-
-  EIGEN_DEVICE_FUNC
-  inverse_impl(const MatrixType& matrix)
-    : m_matrix(matrix)
-  {}
-
-  EIGEN_DEVICE_FUNC inline Index rows() const { return m_matrix.rows(); }
-  EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.cols(); }
-
-  template<typename Dest>
-  EIGEN_DEVICE_FUNC
-  inline void evalTo(Dest& dst) const
-  {
-    const int Size = EIGEN_PLAIN_ENUM_MIN(MatrixType::ColsAtCompileTime,Dest::ColsAtCompileTime);
-    EIGEN_ONLY_USED_FOR_DEBUG(Size);
-    eigen_assert(( (Size<=1) || (Size>4) || (extract_data(m_matrix)!=extract_data(dst)))
-              && "Aliasing problem detected in inverse(), you need to do inverse().eval() here.");
-
-    compute_inverse<MatrixTypeNestedCleaned, Dest>::run(m_matrix, dst);
-  }
-};
-#endif
 } // end namespace internal
 
-#ifdef EIGEN_TEST_EVALUATORS
-
 namespace internal {
 
 // Specialization for "dense = dense_xpr.inverse()"
@@ -352,8 +310,6 @@ struct Assignment<DstXprType, Inverse<XprType>, internal::assign_op<Scalar>, Den
   
 } // end namespace internal
 
-#endif
-
 /** \lu_module
   *
   * \returns the matrix inverse of this matrix.
@@ -371,7 +327,6 @@ struct Assignment<DstXprType, Inverse<XprType>, internal::assign_op<Scalar>, Den
   *
   * \sa computeInverseAndDetWithCheck()
   */
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename Derived>
 inline const Inverse<Derived> MatrixBase<Derived>::inverse() const
 {
@@ -379,15 +334,6 @@ inline const Inverse<Derived> MatrixBase<Derived>::inverse() const
   eigen_assert(rows() == cols());
   return Inverse<Derived>(derived());
 }
-#else
-template<typename Derived>
-inline const internal::inverse_impl<Derived> MatrixBase<Derived>::inverse() const
-{
-  EIGEN_STATIC_ASSERT(!NumTraits<Scalar>::IsInteger,THIS_FUNCTION_IS_NOT_FOR_INTEGER_NUMERIC_TYPES)
-  eigen_assert(rows() == cols());
-  return internal::inverse_impl<Derived>(derived());
-}
-#endif
 
 /** \lu_module
   *
@@ -422,11 +368,7 @@ inline void MatrixBase<Derived>::computeInverseAndDetWithCheck(
   // for larger sizes, evaluating has negligible cost and limits code size.
   typedef typename internal::conditional<
     RowsAtCompileTime == 2,
-#ifndef EIGEN_TEST_EVALUATORS
-    typename internal::remove_all<typename internal::nested<Derived, 2>::type>::type,
-#else
     typename internal::remove_all<typename internal::nested_eval<Derived, 2>::type>::type,
-#endif
     PlainObject
   >::type MatrixType;
   internal::compute_inverse_and_det_with_check<MatrixType, ResultType>::run

Eigen/src/LU/PartialPivLU.h

@@ -142,7 +142,6 @@ template<typename _MatrixType> class PartialPivLU
       *
       * \sa TriangularView::solve(), inverse(), computeInverse()
       */
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename Rhs>
     inline const Solve<PartialPivLU, Rhs>
     solve(const MatrixBase<Rhs>& b) const
@@ -150,15 +149,6 @@ template<typename _MatrixType> class PartialPivLU
       eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
       return Solve<PartialPivLU, Rhs>(*this, b.derived());
     }
-#else
-    template<typename Rhs>
-    inline const internal::solve_retval<PartialPivLU, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
-      return internal::solve_retval<PartialPivLU, Rhs>(*this, b.derived());
-    }
-#endif
 
     /** \returns the inverse of the matrix of which *this is the LU decomposition.
       *
@@ -167,20 +157,11 @@ template<typename _MatrixType> class PartialPivLU
       *
       * \sa MatrixBase::inverse(), LU::inverse()
       */
-#ifdef EIGEN_TEST_EVALUATORS
     inline const Inverse<PartialPivLU> inverse() const
     {
       eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
       return Inverse<PartialPivLU>(*this);
     }
-#else
-    inline const internal::solve_retval<PartialPivLU,typename MatrixType::IdentityReturnType> inverse() const
-    {
-      eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
-      return internal::solve_retval<PartialPivLU,typename MatrixType::IdentityReturnType>
-               (*this, MatrixType::Identity(m_lu.rows(), m_lu.cols()));
-    }
-#endif
 
     /** \returns the determinant of the matrix of which
       * *this is the LU decomposition. It has only linear complexity
@@ -490,22 +471,7 @@ MatrixType PartialPivLU<MatrixType>::reconstructedMatrix() const
 
 namespace internal {
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename _MatrixType, typename Rhs>
-struct solve_retval<PartialPivLU<_MatrixType>, Rhs>
-  : solve_retval_base<PartialPivLU<_MatrixType>, Rhs>
-{
-  EIGEN_MAKE_SOLVE_HELPERS(PartialPivLU<_MatrixType>,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(), dst);
-  }
-};
-#endif
-
 /***** Implementation of inverse() *****************************************************/
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename DstXprType, typename MatrixType, typename Scalar>
 struct Assignment<DstXprType, Inverse<PartialPivLU<MatrixType> >, internal::assign_op<Scalar>, Dense2Dense, Scalar>
 {
@@ -516,7 +482,6 @@ struct Assignment<DstXprType, Inverse<PartialPivLU<MatrixType> >, internal::assi
     dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
   }
 };
-#endif
 } // end namespace internal
 
 /******** MatrixBase methods *******/

Eigen/src/PaStiXSupport/PaStiXSupport.h

@@ -153,22 +153,6 @@ class PastixBase : public SparseSolverBase<Derived>
     {
       clean();
     }
-
-#ifndef EIGEN_TEST_EVALUATORS
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::solve_retval<PastixBase, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "Pastix solver is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "PastixBase::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<PastixBase, Rhs>(*this, b.derived());
-    }
-#endif
     
     template<typename Rhs,typename Dest>
     bool _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &x) const;
@@ -227,22 +211,6 @@ class PastixBase : public SparseSolverBase<Derived>
       return m_info;
     }
     
-#ifndef EIGEN_TEST_EVALUATORS
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::sparse_solve_retval<PastixBase, Rhs>
-    solve(const SparseMatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "Pastix LU, LLT or LDLT is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "PastixBase::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::sparse_solve_retval<PastixBase, Rhs>(*this, b.derived());
-    }
-#endif // EIGEN_TEST_EVALUATORS
-    
   protected:
 
     // Initialize the Pastix data structure, check the matrix
@@ -693,38 +661,6 @@ class PastixLDLT : public PastixBase< PastixLDLT<_MatrixType, _UpLo> >
     }
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-
-template<typename _MatrixType, typename Rhs>
-struct solve_retval<PastixBase<_MatrixType>, Rhs>
-  : solve_retval_base<PastixBase<_MatrixType>, Rhs>
-{
-  typedef PastixBase<_MatrixType> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-
-template<typename _MatrixType, typename Rhs>
-struct sparse_solve_retval<PastixBase<_MatrixType>, Rhs>
-  : sparse_solve_retval_base<PastixBase<_MatrixType>, Rhs>
-{
-  typedef PastixBase<_MatrixType> Dec;
-  EIGEN_MAKE_SPARSE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    this->defaultEvalTo(dst);
-  }
-};
-
-} // end namespace internal
-#endif // EIGEN_TEST_EVALUATORS
-
 } // end namespace Eigen
 
 #endif

Eigen/src/PardisoSupport/PardisoSupport.h

@@ -172,36 +172,6 @@ class PardisoImpl : public SparseSolveBase<PardisoImpl<Derived>
     Derived& factorize(const MatrixType& matrix);
 
     Derived& compute(const MatrixType& matrix);
-    
-#ifndef EIGEN_TEST_EVALUATORS
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::solve_retval<PardisoImpl, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "Pardiso solver is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "PardisoImpl::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<PardisoImpl, Rhs>(*this, b.derived());
-    }
-
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::sparse_solve_retval<PardisoImpl, Rhs>
-    solve(const SparseMatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "Pardiso solver is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "PardisoImpl::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::sparse_solve_retval<PardisoImpl, Rhs>(*this, b.derived());
-    }
-#endif
 
     template<typename BDerived, typename XDerived>
     bool _solve_impl(const MatrixBase<BDerived> &b, MatrixBase<XDerived>& x) const;
@@ -546,38 +516,6 @@ class PardisoLDLT : public PardisoImpl< PardisoLDLT<MatrixType,Options> >
     }
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-  
-template<typename _Derived, typename Rhs>
-struct solve_retval<PardisoImpl<_Derived>, Rhs>
-  : solve_retval_base<PardisoImpl<_Derived>, Rhs>
-{
-  typedef PardisoImpl<_Derived> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-
-template<typename Derived, typename Rhs>
-struct sparse_solve_retval<PardisoImpl<Derived>, Rhs>
-  : sparse_solve_retval_base<PardisoImpl<Derived>, Rhs>
-{
-  typedef PardisoImpl<Derived> Dec;
-  EIGEN_MAKE_SPARSE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    this->defaultEvalTo(dst);
-  }
-};
-
-} // end namespace internal
-#endif // EIGEN_TEST_EVALUATORS
-
 } // end namespace Eigen
 
 #endif // EIGEN_PARDISOSUPPORT_H

Eigen/src/QR/ColPivHouseholderQR.h

@@ -147,7 +147,6 @@ template<typename _MatrixType> class ColPivHouseholderQR
       * Example: \include ColPivHouseholderQR_solve.cpp
       * Output: \verbinclude ColPivHouseholderQR_solve.out
       */
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename Rhs>
     inline const Solve<ColPivHouseholderQR, Rhs>
     solve(const MatrixBase<Rhs>& b) const
@@ -155,15 +154,6 @@ template<typename _MatrixType> class ColPivHouseholderQR
       eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
       return Solve<ColPivHouseholderQR, Rhs>(*this, b.derived());
     }
-#else
-    template<typename Rhs>
-    inline const internal::solve_retval<ColPivHouseholderQR, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
-      return internal::solve_retval<ColPivHouseholderQR, Rhs>(*this, b.derived());
-    }
-#endif
 
     HouseholderSequenceType householderQ() const;
     HouseholderSequenceType matrixQ() const
@@ -304,22 +294,11 @@ template<typename _MatrixType> class ColPivHouseholderQR
       * \note If this matrix is not invertible, the returned matrix has undefined coefficients.
       *       Use isInvertible() to first determine whether this matrix is invertible.
       */
-#ifdef EIGEN_TEST_EVALUATORS
     inline const Inverse<ColPivHouseholderQR> inverse() const
     {
       eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
       return Inverse<ColPivHouseholderQR>(*this);
     }
-#else
-    inline const
-    internal::solve_retval<ColPivHouseholderQR, typename MatrixType::IdentityReturnType>
-    inverse() const
-    {
-      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
-      return internal::solve_retval<ColPivHouseholderQR,typename MatrixType::IdentityReturnType>
-               (*this, MatrixType::Identity(m_qr.rows(), m_qr.cols()));
-    }
-#endif
 
     inline Index rows() const { return m_qr.rows(); }
     inline Index cols() const { return m_qr.cols(); }
@@ -582,21 +561,6 @@ void ColPivHouseholderQR<_MatrixType>::_solve_impl(const RhsType &rhs, DstType &
 
 namespace internal {
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename _MatrixType, typename Rhs>
-struct solve_retval<ColPivHouseholderQR<_MatrixType>, Rhs>
-  : solve_retval_base<ColPivHouseholderQR<_MatrixType>, Rhs>
-{
-  EIGEN_MAKE_SOLVE_HELPERS(ColPivHouseholderQR<_MatrixType>,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(), dst);
-  }
-};
-#endif
-
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename DstXprType, typename MatrixType, typename Scalar>
 struct Assignment<DstXprType, Inverse<ColPivHouseholderQR<MatrixType> >, internal::assign_op<Scalar>, Dense2Dense, Scalar>
 {
@@ -607,7 +571,6 @@ struct Assignment<DstXprType, Inverse<ColPivHouseholderQR<MatrixType> >, interna
     dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
   }
 };
-#endif
 
 } // end namespace internal
 

Eigen/src/QR/FullPivHouseholderQR.h

@@ -151,7 +151,6 @@ template<typename _MatrixType> class FullPivHouseholderQR
       * Example: \include FullPivHouseholderQR_solve.cpp
       * Output: \verbinclude FullPivHouseholderQR_solve.out
       */
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename Rhs>
     inline const Solve<FullPivHouseholderQR, Rhs>
     solve(const MatrixBase<Rhs>& b) const
@@ -159,15 +158,6 @@ template<typename _MatrixType> class FullPivHouseholderQR
       eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
       return Solve<FullPivHouseholderQR, Rhs>(*this, b.derived());
     }
-#else
-    template<typename Rhs>
-    inline const internal::solve_retval<FullPivHouseholderQR, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
-      return internal::solve_retval<FullPivHouseholderQR, Rhs>(*this, b.derived());
-    }
-#endif
 
     /** \returns Expression object representing the matrix Q
       */
@@ -298,22 +288,11 @@ template<typename _MatrixType> class FullPivHouseholderQR
       * \note If this matrix is not invertible, the returned matrix has undefined coefficients.
       *       Use isInvertible() to first determine whether this matrix is invertible.
       */
-#ifdef EIGEN_TEST_EVALUATORS
     inline const Inverse<FullPivHouseholderQR> inverse() const
     {
       eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
       return Inverse<FullPivHouseholderQR>(*this);
     }
-#else
-    inline const
-    internal::solve_retval<FullPivHouseholderQR, typename MatrixType::IdentityReturnType>
-    inverse() const
-    {
-      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
-      return internal::solve_retval<FullPivHouseholderQR,typename MatrixType::IdentityReturnType>
-               (*this, MatrixType::Identity(m_qr.rows(), m_qr.cols()));
-    }
-#endif
 
     inline Index rows() const { return m_qr.rows(); }
     inline Index cols() const { return m_qr.cols(); }
@@ -556,21 +535,6 @@ void FullPivHouseholderQR<_MatrixType>::_solve_impl(const RhsType &rhs, DstType
 
 namespace internal {
   
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename _MatrixType, typename Rhs>
-struct solve_retval<FullPivHouseholderQR<_MatrixType>, Rhs>
-  : solve_retval_base<FullPivHouseholderQR<_MatrixType>, Rhs>
-{
-  EIGEN_MAKE_SOLVE_HELPERS(FullPivHouseholderQR<_MatrixType>,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(), dst);
-  }
-};
-#endif // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_TEST_EVALUATORS
 template<typename DstXprType, typename MatrixType, typename Scalar>
 struct Assignment<DstXprType, Inverse<FullPivHouseholderQR<MatrixType> >, internal::assign_op<Scalar>, Dense2Dense, Scalar>
 {
@@ -581,7 +545,6 @@ struct Assignment<DstXprType, Inverse<FullPivHouseholderQR<MatrixType> >, intern
     dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
   }
 };
-#endif
 
 /** \ingroup QR_Module
   *
@@ -589,7 +552,6 @@ struct Assignment<DstXprType, Inverse<FullPivHouseholderQR<MatrixType> >, intern
   *
   * \tparam MatrixType type of underlying dense matrix
   */
-// #ifndef EIGEN_TEST_EVALUATORS
 template<typename MatrixType> struct FullPivHouseholderQRMatrixQReturnType
   : public ReturnByValue<FullPivHouseholderQRMatrixQReturnType<MatrixType> >
 {
@@ -645,12 +607,10 @@ protected:
   typename IntDiagSizeVectorType::Nested m_rowsTranspositions;
 };
 
-// #ifdef EIGEN_TEST_EVALUATORS
 // template<typename MatrixType>
 // struct evaluator<FullPivHouseholderQRMatrixQReturnType<MatrixType> >
 //  : public evaluator<ReturnByValue<FullPivHouseholderQRMatrixQReturnType<MatrixType> > >
 // {};
-// #endif
 
 } // end namespace internal
 

Eigen/src/QR/HouseholderQR.h

@@ -117,7 +117,6 @@ template<typename _MatrixType> class HouseholderQR
       * Example: \include HouseholderQR_solve.cpp
       * Output: \verbinclude HouseholderQR_solve.out
       */
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename Rhs>
     inline const Solve<HouseholderQR, Rhs>
     solve(const MatrixBase<Rhs>& b) const
@@ -125,15 +124,6 @@ template<typename _MatrixType> class HouseholderQR
       eigen_assert(m_isInitialized && "HouseholderQR is not initialized.");
       return Solve<HouseholderQR, Rhs>(*this, b.derived());
     }
-#else
-    template<typename Rhs>
-    inline const internal::solve_retval<HouseholderQR, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "HouseholderQR is not initialized.");
-      return internal::solve_retval<HouseholderQR, Rhs>(*this, b.derived());
-    }
-#endif
 
     /** This method returns an expression of the unitary matrix Q as a sequence of Householder transformations.
       *
@@ -351,24 +341,6 @@ void HouseholderQR<_MatrixType>::_solve_impl(const RhsType &rhs, DstType &dst) c
 }
 #endif
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-
-template<typename _MatrixType, typename Rhs>
-struct solve_retval<HouseholderQR<_MatrixType>, Rhs>
-  : solve_retval_base<HouseholderQR<_MatrixType>, Rhs>
-{
-  EIGEN_MAKE_SOLVE_HELPERS(HouseholderQR<_MatrixType>,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(), dst);
-  }
-};
-
-} // end namespace internal
-#endif // EIGEN_TEST_EVALUATORS
-
 /** Performs the QR factorization of the given matrix \a matrix. The result of
   * the factorization is stored into \c *this, and a reference to \c *this
   * is returned.

Eigen/src/SPQRSupport/SuiteSparseQRSupport.h

@@ -124,21 +124,6 @@ class SPQR : public SparseSolverBase<SPQR<_MatrixType> >
      * Get the number of columns of the input matrix. 
      */
     inline Index cols() const { return m_cR->ncol; }
-   
-#ifndef EIGEN_TEST_EVALUATORS
-    /** \returns the solution X of \f$ A X = B \f$ using the current decomposition of A.
-    *
-    * \sa compute()
-    */
-    template<typename Rhs>
-    inline const internal::solve_retval<SPQR, Rhs> solve(const MatrixBase<Rhs>& B) const 
-    {
-      eigen_assert(m_isInitialized && " The QR factorization should be computed first, call compute()");
-      eigen_assert(this->rows()==B.rows()
-                    && "SPQR::solve(): invalid number of rows of the right hand side matrix B");
-          return internal::solve_retval<SPQR, Rhs>(*this, B.derived());
-    }
-#endif // EIGEN_TEST_EVALUATORS
     
     template<typename Rhs, typename Dest>
     void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
@@ -292,24 +277,5 @@ struct SPQRMatrixQTransposeReturnType{
   const SPQRType& m_spqr;
 };
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-  
-template<typename _MatrixType, typename Rhs>
-struct solve_retval<SPQR<_MatrixType>, Rhs>
-  : solve_retval_base<SPQR<_MatrixType>, Rhs>
-{
-  typedef SPQR<_MatrixType> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec()._solve_impl(rhs(),dst);
-  }
-};
-
-} // end namespace internal
-#endif
-
 }// End namespace Eigen
 #endif

Eigen/src/SVD/SVDBase.h

@@ -200,7 +200,6 @@ public:
     * \note SVD solving is implicitly least-squares. Thus, this method serves both purposes of exact solving and least-squares solving.
     * In other words, the returned solution is guaranteed to minimize the Euclidean norm \f$ \Vert A x - b \Vert \f$.
     */
-#ifdef EIGEN_TEST_EVALUATORS
   template<typename Rhs>
   inline const Solve<Derived, Rhs>
   solve(const MatrixBase<Rhs>& b) const
@@ -209,16 +208,6 @@ public:
     eigen_assert(computeU() && computeV() && "SVD::solve() requires both unitaries U and V to be computed (thin unitaries suffice).");
     return Solve<Derived, Rhs>(derived(), b.derived());
   }
-#else
-  template<typename Rhs>
-  inline const internal::solve_retval<SVDBase, Rhs>
-  solve(const MatrixBase<Rhs>& b) const
-  {
-    eigen_assert(m_isInitialized && "SVD is not initialized.");
-    eigen_assert(computeU() && computeV() && "SVD::solve() requires both unitaries U and V to be computed (thin unitaries suffice).");
-    return internal::solve_retval<SVDBase, Rhs>(*this, b.derived());
-  }
-#endif
   
   #ifndef EIGEN_PARSED_BY_DOXYGEN
   template<typename RhsType, typename DstType>
@@ -273,23 +262,6 @@ void SVDBase<Derived>::_solve_impl(const RhsType &rhs, DstType &dst) const
 }
 #endif
 
-namespace internal {
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename Derived, typename Rhs>
-struct solve_retval<SVDBase<Derived>, Rhs>
-  : solve_retval_base<SVDBase<Derived>, Rhs>
-{
-  typedef SVDBase<Derived> SVDType;
-  EIGEN_MAKE_SOLVE_HELPERS(SVDType,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec().derived()._solve_impl(rhs(), dst);
-  }
-};
-#endif
-} // end namespace internal
-
 template<typename MatrixType>
 bool SVDBase<MatrixType>::allocate(Index rows, Index cols, unsigned int computationOptions)
 {

Eigen/src/SparseCholesky/SimplicialCholesky.h

@@ -84,36 +84,6 @@ class SimplicialCholeskyBase : public SparseSolverBase<Derived>
       return m_info;
     }
     
-#ifndef EIGEN_TEST_EVALUATORS
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::solve_retval<SimplicialCholeskyBase, Rhs>
-    solve(const MatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "Simplicial LLT or LDLT is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "SimplicialCholeskyBase::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::solve_retval<SimplicialCholeskyBase, Rhs>(*this, b.derived());
-    }
-    
-    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
-      *
-      * \sa compute()
-      */
-    template<typename Rhs>
-    inline const internal::sparse_solve_retval<SimplicialCholeskyBase, Rhs>
-    solve(const SparseMatrixBase<Rhs>& b) const
-    {
-      eigen_assert(m_isInitialized && "Simplicial LLT or LDLT is not initialized.");
-      eigen_assert(rows()==b.rows()
-                && "SimplicialCholesky::solve(): invalid number of rows of the right hand side matrix b");
-      return internal::sparse_solve_retval<SimplicialCholeskyBase, Rhs>(*this, b.derived());
-    }
-#endif // EIGEN_TEST_EVALUATORS
-    
     /** \returns the permutation P
       * \sa permutationPinv() */
     const PermutationMatrix<Dynamic,Dynamic,Index>& permutationP() const
@@ -157,11 +127,7 @@ class SimplicialCholeskyBase : public SparseSolverBase<Derived>
 
     /** \internal */
     template<typename Rhs,typename Dest>
-#ifndef EIGEN_TEST_EVALUATORS
-    void _solve(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
-#else
     void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
-#endif
     {
       eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
       eigen_assert(m_matrix.rows()==b.rows());
@@ -186,14 +152,12 @@ class SimplicialCholeskyBase : public SparseSolverBase<Derived>
       if(m_P.size()>0)
         dest = m_Pinv * dest;
     }
-
+    
-#ifdef EIGEN_TEST_EVALUATORS
     template<typename Rhs,typename Dest>
     void _solve_impl(const SparseMatrixBase<Rhs> &b, SparseMatrixBase<Dest> &dest) const
     {
       internal::solve_sparse_through_dense_panels(derived(), b, dest);
     }
-#endif
 
 #endif // EIGEN_PARSED_BY_DOXYGEN
 
@@ -578,11 +542,7 @@ public:
 
     /** \internal */
     template<typename Rhs,typename Dest>
-#ifndef EIGEN_TEST_EVALUATORS
-    void _solve(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
-#else
     void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
-#endif
     {
       eigen_assert(Base::m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
       eigen_assert(Base::m_matrix.rows()==b.rows());
@@ -618,14 +578,12 @@ public:
         dest = Base::m_Pinv * dest;
     }
     
-#ifdef EIGEN_TEST_EVALUATORS
     /** \internal */
     template<typename Rhs,typename Dest>
     void _solve_impl(const SparseMatrixBase<Rhs> &b, SparseMatrixBase<Dest> &dest) const
     {
       internal::solve_sparse_through_dense_panels(*this, b, dest);
     }
-#endif
     
     Scalar determinant() const
     {
@@ -667,38 +625,6 @@ void SimplicialCholeskyBase<Derived>::ordering(const MatrixType& a, CholMatrixTy
   ap.template selfadjointView<Upper>() = a.template selfadjointView<UpLo>().twistedBy(m_P);
 }
 
-#ifndef EIGEN_TEST_EVALUATORS
-namespace internal {
-  
-template<typename Derived, typename Rhs>
-struct solve_retval<SimplicialCholeskyBase<Derived>, Rhs>
-  : solve_retval_base<SimplicialCholeskyBase<Derived>, Rhs>
-{
-  typedef SimplicialCholeskyBase<Derived> Dec;
-  EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    dec().derived()._solve(rhs(),dst);
-  }
-};
-
-template<typename Derived, typename Rhs>
-struct sparse_solve_retval<SimplicialCholeskyBase<Derived>, Rhs>
-  : sparse_solve_retval_base<SimplicialCholeskyBase<Derived>, Rhs>
-{
-  typedef SimplicialCholeskyBase<Derived> Dec;
-  EIGEN_MAKE_SPARSE_SOLVE_HELPERS(Dec,Rhs)
-
-  template<typename Dest> void evalTo(Dest& dst) const
-  {
-    this->defaultEvalTo(dst);
-  }
-};
-
-} // end namespace internal
-#endif // EIGEN_TEST_EVALUATORS
-
 } // end namespace Eigen
 
 #endif // EIGEN_SIMPLICIAL_CHOLESKY_H

Eigen/src/SparseCore/ConservativeSparseSparseProduct.h

@@ -39,10 +39,8 @@ static void conservative_sparse_sparse_product_impl(const Lhs& lhs, const Rhs& r
   // Therefore, we have nnz(lhs*rhs) = nnz(lhs) + nnz(rhs)
   Index estimated_nnz_prod = lhs.nonZeros() + rhs.nonZeros();
   
-#ifdef EIGEN_TEST_EVALUATORS
   typename evaluator<Lhs>::type lhsEval(lhs);
   typename evaluator<Rhs>::type rhsEval(rhs);
-#endif
 
   res.setZero();
   res.reserve(Index(estimated_nnz_prod));
@@ -52,19 +50,11 @@ static void conservative_sparse_sparse_product_impl(const Lhs& lhs, const Rhs& r
 
     res.startVec(j);
     Index nnz = 0;
-#ifndef EIGEN_TEST_EVALUATORS
-    for (typename Rhs::InnerIterator rhsIt(rhs, j); rhsIt; ++rhsIt)
-#else
     for (typename evaluator<Rhs>::InnerIterator rhsIt(rhsEval, j); rhsIt; ++rhsIt)
-#endif
     {
       Scalar y = rhsIt.value();
       Index k = rhsIt.index();
-#ifndef EIGEN_TEST_EVALUATORS
-      for (typename Lhs::InnerIterator lhsIt(lhs, k); lhsIt; ++lhsIt)
-#else
       for (typename evaluator<Lhs>::InnerIterator lhsIt(lhsEval, k); lhsIt; ++lhsIt)
-#endif
       {
         Index i = lhsIt.index();
         Scalar x = lhsIt.value();

Eigen/src/SparseCore/MappedSparseMatrix.h

@@ -176,7 +176,6 @@ class MappedSparseMatrix<Scalar,_Flags,_Index>::ReverseInnerIterator
     const Index m_end;
 };
 
-#ifdef EIGEN_ENABLE_EVALUATORS
 namespace internal {
 
 template<typename _Scalar, int _Options, typename _Index>
@@ -202,7 +201,6 @@ struct evaluator<MappedSparseMatrix<_Scalar,_Options,_Index> >
 };
 
 }
-#endif
 
 } // end namespace Eigen
 

Eigen/src/SparseCore/SparseAssign.h

@@ -12,117 +12,6 @@
 
 namespace Eigen { 
 
-#ifndef EIGEN_TEST_EVALUATORS
-
-template<typename Derived>    
-template<typename OtherDerived>
-Derived& SparseMatrixBase<Derived>::operator=(const EigenBase<OtherDerived> &other)
-{
-  other.derived().evalTo(derived());
-  return derived();
-}
-
-template<typename Derived>
-template<typename OtherDerived>
-Derived& SparseMatrixBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
-{
-  other.evalTo(derived());
-  return derived();
-}
-
-template<typename Derived>
-template<typename OtherDerived>
-inline Derived& SparseMatrixBase<Derived>::operator=(const SparseMatrixBase<OtherDerived>& other)
-{
-  return assign(other.derived());
-}
-
-template<typename Derived>
-inline Derived& SparseMatrixBase<Derived>::operator=(const Derived& other)
-{
-//   if (other.isRValue())
-//     derived().swap(other.const_cast_derived());
-//   else
-  return assign(other.derived());
-}
-
-template<typename Derived>
-template<typename OtherDerived>
-inline Derived& SparseMatrixBase<Derived>::assign(const OtherDerived& other)
-{
-  const bool transpose = (Flags & RowMajorBit) != (OtherDerived::Flags & RowMajorBit);
-  const Index outerSize = (int(OtherDerived::Flags) & RowMajorBit) ? Index(other.rows()) : Index(other.cols());
-  if ((!transpose) && other.isRValue())
-  {
-    // eval without temporary
-    derived().resize(Index(other.rows()), Index(other.cols()));
-    derived().setZero();
-    derived().reserve((std::max)(this->rows(),this->cols())*2);
-    for (Index j=0; j<outerSize; ++j)
-    {
-      derived().startVec(j);
-      for (typename OtherDerived::InnerIterator it(other, typename OtherDerived::Index(j)); it; ++it)
-      {
-        Scalar v = it.value();
-        derived().insertBackByOuterInner(j,Index(it.index())) = v;
-      }
-    }
-    derived().finalize();
-  }
-  else
-  {
-    assignGeneric(other);
-  }
-  return derived();
-}
-
-template<typename Derived>
-template<typename OtherDerived>
-inline void SparseMatrixBase<Derived>::assignGeneric(const OtherDerived& other)
-{
-  //const bool transpose = (Flags & RowMajorBit) != (OtherDerived::Flags & RowMajorBit);
-  eigen_assert(( ((internal::traits<Derived>::SupportedAccessPatterns&OuterRandomAccessPattern)==OuterRandomAccessPattern) ||
-              (!((Flags & RowMajorBit) != (OtherDerived::Flags & RowMajorBit)))) &&
-              "the transpose operation is supposed to be handled in SparseMatrix::operator=");
-
-  enum { Flip = (Flags & RowMajorBit) != (OtherDerived::Flags & RowMajorBit) };
-
-  const Index outerSize = Index(other.outerSize());
-  //typedef typename internal::conditional<transpose, LinkedVectorMatrix<Scalar,Flags&RowMajorBit>, Derived>::type TempType;
-  // thanks to shallow copies, we always eval to a tempary
-  Derived temp(Index(other.rows()), Index(other.cols()));
-
-  temp.reserve((std::max)(this->rows(),this->cols())*2);
-  for (Index j=0; j<outerSize; ++j)
-  {
-    temp.startVec(j);
-    for (typename OtherDerived::InnerIterator it(other.derived(), typename OtherDerived::Index(j)); it; ++it)
-    {
-      Scalar v = it.value();
-      temp.insertBackByOuterInner(Flip?Index(it.index()):j,Flip?j:Index(it.index())) = v;
-    }
-  }
-  temp.finalize();
-
-  derived() = temp.markAsRValue();
-}
-
-// template<typename Lhs, typename Rhs>
-// inline Derived& operator=(const SparseSparseProduct<Lhs,Rhs>& product);
-// 
-// template<typename OtherDerived>
-// Derived& operator+=(const SparseMatrixBase<OtherDerived>& other);
-// template<typename OtherDerived>
-// Derived& operator-=(const SparseMatrixBase<OtherDerived>& other);
-// 
-// Derived& operator*=(const Scalar& other);
-// Derived& operator/=(const Scalar& other);
-// 
-// template<typename OtherDerived>
-// Derived& operator*=(const SparseMatrixBase<OtherDerived>& other);
-
-#else // EIGEN_TEST_EVALUATORS
-
 template<typename Derived>    
 template<typename OtherDerived>
 Derived& SparseMatrixBase<Derived>::operator=(const EigenBase<OtherDerived> &other)
@@ -298,8 +187,6 @@ struct Assignment<DstXprType, Solve<DecType,RhsType>, internal::assign_op<Scalar
 
 } // end namespace internal
 
-#endif // EIGEN_TEST_EVALUATORS
-
 } // end namespace Eigen
 
 #endif // EIGEN_SPARSEASSIGN_H

Eigen/src/SparseCore/SparseBlock.h

@@ -25,33 +25,6 @@ protected:
     enum { OuterSize = IsRowMajor ? BlockRows : BlockCols };
 public:
     EIGEN_SPARSE_PUBLIC_INTERFACE(BlockType)
-    
-#ifndef EIGEN_TEST_EVALUATORS
-    class InnerIterator: public XprType::InnerIterator
-    {
-        typedef typename BlockImpl::Index Index;
-      public:
-        inline InnerIterator(const BlockType& xpr, Index outer)
-          : XprType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
-        {}
-        inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
-        inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
-      protected:
-        Index m_outer;
-    };
-    class ReverseInnerIterator: public XprType::ReverseInnerIterator
-    {
-        typedef typename BlockImpl::Index Index;
-      public:
-        inline ReverseInnerIterator(const BlockType& xpr, Index outer)
-          : XprType::ReverseInnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
-        {}
-        inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
-        inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
-      protected:
-        Index m_outer;
-    };
-#endif // EIGEN_TEST_EVALUATORS
 
     inline BlockImpl(const XprType& xpr, Index i)
       : m_matrix(xpr), m_outerStart(i), m_outerSize(OuterSize)
@@ -66,14 +39,6 @@ public:
     
     Index nonZeros() const
     {
-#ifndef EIGEN_TEST_EVALUATORS
-      Index nnz = 0;
-      Index end = m_outerStart + m_outerSize.value();
-      for(Index j=m_outerStart; j<end; ++j)
-        for(typename XprType::InnerIterator it(m_matrix, j); it; ++it)
-          ++nnz;
-      return nnz;
-#else // EIGEN_TEST_EVALUATORS
       typedef typename internal::evaluator<XprType>::type EvaluatorType;
       EvaluatorType matEval(m_matrix);
       Index nnz = 0;
@@ -82,7 +47,6 @@ public:
         for(typename EvaluatorType::InnerIterator it(matEval, j); it; ++it)
           ++nnz;
       return nnz;
-#endif // EIGEN_TEST_EVALUATORS
     }
     
     inline const _MatrixTypeNested& nestedExpression() const { return m_matrix; }
@@ -120,31 +84,6 @@ public:
 protected:
     enum { OuterSize = IsRowMajor ? BlockRows : BlockCols };
 public:
-    
-#ifndef EIGEN_TEST_EVALUATORS
-    class InnerIterator: public SparseMatrixType::InnerIterator
-    {
-      public:
-        inline InnerIterator(const BlockType& xpr, Index outer)
-          : SparseMatrixType::InnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
-        {}
-        inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
-        inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
-      protected:
-        Index m_outer;
-    };
-    class ReverseInnerIterator: public SparseMatrixType::ReverseInnerIterator
-    {
-      public:
-        inline ReverseInnerIterator(const BlockType& xpr, Index outer)
-          : SparseMatrixType::ReverseInnerIterator(xpr.m_matrix, xpr.m_outerStart + outer), m_outer(outer)
-        {}
-        inline Index row() const { return IsRowMajor ? m_outer : this->index(); }
-        inline Index col() const { return IsRowMajor ? this->index() : m_outer; }
-      protected:
-        Index m_outer;
-    };
-#endif // EIGEN_TEST_EVALUATORS
 
     inline sparse_matrix_block_impl(const SparseMatrixType& xpr, Index i)
       : m_matrix(xpr), m_outerStart(i), m_outerSize(OuterSize)
@@ -434,34 +373,6 @@ public:
                     m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
     }
     
-#ifndef EIGEN_TEST_EVALUATORS
-    typedef internal::GenericSparseBlockInnerIteratorImpl<XprType,BlockRows,BlockCols,InnerPanel> InnerIterator;
-    
-    class ReverseInnerIterator : public _MatrixTypeNested::ReverseInnerIterator
-    {
-      typedef typename _MatrixTypeNested::ReverseInnerIterator Base;
-      const BlockType& m_block;
-      Index m_begin;
-    public:
-
-      EIGEN_STRONG_INLINE ReverseInnerIterator(const BlockType& block, Index outer)
-        : Base(block.derived().nestedExpression(), outer + (IsRowMajor ? block.m_startRow.value() : block.m_startCol.value())),
-          m_block(block),
-          m_begin(IsRowMajor ? block.m_startCol.value() : block.m_startRow.value())
-      {
-        while( (Base::operator bool()) && (Base::index() >= (IsRowMajor ? m_block.m_startCol.value()+block.m_blockCols.value() : m_block.m_startRow.value()+block.m_blockRows.value())) )
-          Base::operator--();
-      }
-
-      inline Index index()  const { return Base::index() - (IsRowMajor ? m_block.m_startCol.value() : m_block.m_startRow.value()); }
-      inline Index outer()  const { return Base::outer() - (IsRowMajor ? m_block.m_startRow.value() : m_block.m_startCol.value()); }
-      inline Index row()    const { return Base::row()   - m_block.m_startRow.value(); }
-      inline Index col()    const { return Base::col()   - m_block.m_startCol.value(); }
-      
-      inline operator bool() const { return Base::operator bool() && Base::index() >= m_begin; }
-    };
-#endif // EIGEN_TEST_EVALUATORS
-    
     inline const _MatrixTypeNested& nestedExpression() const { return m_matrix; }
     Index startRow() const { return m_startRow.value(); }
     Index startCol() const { return m_startCol.value(); }
@@ -574,9 +485,6 @@ namespace internal {
     inline operator bool() const { return m_outerPos < m_end; }
   };
 
-#ifdef EIGEN_TEST_EVALUATORS
-
-//
 template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
 struct unary_evaluator<Block<ArgType,BlockRows,BlockCols,InnerPanel>, IteratorBased >
  : public evaluator_base<Block<ArgType,BlockRows,BlockCols,InnerPanel> >
@@ -690,9 +598,6 @@ public:
   inline operator bool() const { return m_outerPos < m_end; }
 };
 
-  
-#endif // EIGEN_TEST_EVALUATORS  
-
 } // end namespace internal
 
 

Eigen/src/SparseCore/SparseCwiseBinaryOp.h

@@ -38,256 +38,6 @@ class sparse_cwise_binary_op_inner_iterator_selector;
 
 } // end namespace internal
 
-#ifndef EIGEN_TEST_EVALUATORS
-
-template<typename BinaryOp, typename Lhs, typename Rhs>
-class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
-  : public SparseMatrixBase<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
-{
-  public:
-    class InnerIterator;
-    class ReverseInnerIterator;
-    typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> Derived;
-    EIGEN_SPARSE_PUBLIC_INTERFACE(Derived)
-    CwiseBinaryOpImpl()
-    {
-      typedef typename internal::traits<Lhs>::StorageKind LhsStorageKind;
-      typedef typename internal::traits<Rhs>::StorageKind RhsStorageKind;
-      EIGEN_STATIC_ASSERT((
-                (!internal::is_same<LhsStorageKind,RhsStorageKind>::value)
-            ||  ((Lhs::Flags&RowMajorBit) == (Rhs::Flags&RowMajorBit))),
-            THE_STORAGE_ORDER_OF_BOTH_SIDES_MUST_MATCH);
-    }
-};
-
-template<typename BinaryOp, typename Lhs, typename Rhs>
-class CwiseBinaryOpImpl<BinaryOp,Lhs,Rhs,Sparse>::InnerIterator
-  : public internal::sparse_cwise_binary_op_inner_iterator_selector<BinaryOp,Lhs,Rhs,typename CwiseBinaryOpImpl<BinaryOp,Lhs,Rhs,Sparse>::InnerIterator>
-{
-  public:
-    typedef internal::sparse_cwise_binary_op_inner_iterator_selector<
-      BinaryOp,Lhs,Rhs, InnerIterator> Base;
-
-    EIGEN_STRONG_INLINE InnerIterator(const CwiseBinaryOpImpl& binOp, Index outer)
-      : Base(binOp.derived(),outer)
-    {}
-};
-
-/***************************************************************************
-* Implementation of inner-iterators
-***************************************************************************/
-
-// template<typename T> struct internal::func_is_conjunction { enum { ret = false }; };
-// template<typename T> struct internal::func_is_conjunction<internal::scalar_product_op<T> > { enum { ret = true }; };
-
-// TODO generalize the internal::scalar_product_op specialization to all conjunctions if any !
-
-namespace internal {
-
-// sparse - sparse  (generic)
-template<typename BinaryOp, typename Lhs, typename Rhs, typename Derived>
-class sparse_cwise_binary_op_inner_iterator_selector<BinaryOp, Lhs, Rhs, Derived, Sparse, Sparse>
-{
-    typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> CwiseBinaryXpr;
-    typedef typename traits<CwiseBinaryXpr>::Scalar Scalar;
-    typedef typename traits<CwiseBinaryXpr>::Index Index;
-    typedef typename traits<CwiseBinaryXpr>::_LhsNested _LhsNested;
-    typedef typename traits<CwiseBinaryXpr>::_RhsNested _RhsNested;
-    typedef typename _LhsNested::InnerIterator LhsIterator;
-    typedef typename _RhsNested::InnerIterator RhsIterator;
-
-  public:
-
-    EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
-      : m_lhsIter(xpr.lhs(),outer), m_rhsIter(xpr.rhs(),outer), m_functor(xpr.functor())
-    {
-      this->operator++();
-    }
-
-    EIGEN_STRONG_INLINE Derived& operator++()
-    {
-      if (m_lhsIter && m_rhsIter && (m_lhsIter.index() == m_rhsIter.index()))
-      {
-        m_id = m_lhsIter.index();
-        m_value = m_functor(m_lhsIter.value(), m_rhsIter.value());
-        ++m_lhsIter;
-        ++m_rhsIter;
-      }
-      else if (m_lhsIter && (!m_rhsIter || (m_lhsIter.index() < m_rhsIter.index())))
-      {
-        m_id = m_lhsIter.index();
-        m_value = m_functor(m_lhsIter.value(), Scalar(0));
-        ++m_lhsIter;
-      }
-      else if (m_rhsIter && (!m_lhsIter || (m_lhsIter.index() > m_rhsIter.index())))
-      {
-        m_id = m_rhsIter.index();
-        m_value = m_functor(Scalar(0), m_rhsIter.value());
-        ++m_rhsIter;
-      }
-      else
-      {
-        m_value = 0; // this is to avoid a compilation warning
-        m_id = -1;
-      }
-      return *static_cast<Derived*>(this);
-    }
-
-    EIGEN_STRONG_INLINE Scalar value() const { return m_value; }
-
-    EIGEN_STRONG_INLINE Index index() const { return m_id; }
-    EIGEN_STRONG_INLINE Index row() const { return Lhs::IsRowMajor ? m_lhsIter.row() : index(); }
-    EIGEN_STRONG_INLINE Index col() const { return Lhs::IsRowMajor ? index() : m_lhsIter.col(); }
-
-    EIGEN_STRONG_INLINE operator bool() const { return m_id>=0; }
-
-  protected:
-    LhsIterator m_lhsIter;
-    RhsIterator m_rhsIter;
-    const BinaryOp& m_functor;
-    Scalar m_value;
-    Index m_id;
-};
-
-// sparse - sparse  (product)
-template<typename T, typename Lhs, typename Rhs, typename Derived>
-class sparse_cwise_binary_op_inner_iterator_selector<scalar_product_op<T>, Lhs, Rhs, Derived, Sparse, Sparse>
-{
-    typedef scalar_product_op<T> BinaryFunc;
-    typedef CwiseBinaryOp<BinaryFunc, Lhs, Rhs> CwiseBinaryXpr;
-    typedef typename CwiseBinaryXpr::Scalar Scalar;
-    typedef typename CwiseBinaryXpr::Index Index;
-    typedef typename traits<CwiseBinaryXpr>::_LhsNested _LhsNested;
-    typedef typename _LhsNested::InnerIterator LhsIterator;
-    typedef typename traits<CwiseBinaryXpr>::_RhsNested _RhsNested;
-    typedef typename _RhsNested::InnerIterator RhsIterator;
-  public:
-
-    EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
-      : m_lhsIter(xpr.lhs(),outer), m_rhsIter(xpr.rhs(),outer), m_functor(xpr.functor())
-    {
-      while (m_lhsIter && m_rhsIter && (m_lhsIter.index() != m_rhsIter.index()))
-      {
-        if (m_lhsIter.index() < m_rhsIter.index())
-          ++m_lhsIter;
-        else
-          ++m_rhsIter;
-      }
-    }
-
-    EIGEN_STRONG_INLINE Derived& operator++()
-    {
-      ++m_lhsIter;
-      ++m_rhsIter;
-      while (m_lhsIter && m_rhsIter && (m_lhsIter.index() != m_rhsIter.index()))
-      {
-        if (m_lhsIter.index() < m_rhsIter.index())
-          ++m_lhsIter;
-        else
-          ++m_rhsIter;
-      }
-      return *static_cast<Derived*>(this);
-    }
-
-    EIGEN_STRONG_INLINE Scalar value() const { return m_functor(m_lhsIter.value(), m_rhsIter.value()); }
-
-    EIGEN_STRONG_INLINE Index index() const { return m_lhsIter.index(); }
-    EIGEN_STRONG_INLINE Index row() const { return m_lhsIter.row(); }
-    EIGEN_STRONG_INLINE Index col() const { return m_lhsIter.col(); }
-
-    EIGEN_STRONG_INLINE operator bool() const { return (m_lhsIter && m_rhsIter); }
-
-  protected:
-    LhsIterator m_lhsIter;
-    RhsIterator m_rhsIter;
-    const BinaryFunc& m_functor;
-};
-
-// sparse - dense  (product)
-template<typename T, typename Lhs, typename Rhs, typename Derived>
-class sparse_cwise_binary_op_inner_iterator_selector<scalar_product_op<T>, Lhs, Rhs, Derived, Sparse, Dense>
-{
-    typedef scalar_product_op<T> BinaryFunc;
-    typedef CwiseBinaryOp<BinaryFunc, Lhs, Rhs> CwiseBinaryXpr;
-    typedef typename CwiseBinaryXpr::Scalar Scalar;
-    typedef typename CwiseBinaryXpr::Index Index;
-    typedef typename traits<CwiseBinaryXpr>::_LhsNested _LhsNested;
-    typedef typename traits<CwiseBinaryXpr>::RhsNested RhsNested;
-    typedef typename _LhsNested::InnerIterator LhsIterator;
-    enum { IsRowMajor = (int(Lhs::Flags)&RowMajorBit)==RowMajorBit };
-  public:
-
-    EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
-      : m_rhs(xpr.rhs()), m_lhsIter(xpr.lhs(),typename _LhsNested::Index(outer)), m_functor(xpr.functor()), m_outer(outer)
-    {}
-
-    EIGEN_STRONG_INLINE Derived& operator++()
-    {
-      ++m_lhsIter;
-      return *static_cast<Derived*>(this);
-    }
-
-    EIGEN_STRONG_INLINE Scalar value() const
-    { return m_functor(m_lhsIter.value(),
-                       m_rhs.coeff(IsRowMajor?m_outer:m_lhsIter.index(),IsRowMajor?m_lhsIter.index():m_outer)); }
-
-    EIGEN_STRONG_INLINE Index index() const { return m_lhsIter.index(); }
-    EIGEN_STRONG_INLINE Index row() const { return m_lhsIter.row(); }
-    EIGEN_STRONG_INLINE Index col() const { return m_lhsIter.col(); }
-
-    EIGEN_STRONG_INLINE operator bool() const { return m_lhsIter; }
-
-  protected:
-    RhsNested m_rhs;
-    LhsIterator m_lhsIter;
-    const BinaryFunc m_functor;
-    const Index m_outer;
-};
-
-// sparse - dense  (product)
-template<typename T, typename Lhs, typename Rhs, typename Derived>
-class sparse_cwise_binary_op_inner_iterator_selector<scalar_product_op<T>, Lhs, Rhs, Derived, Dense, Sparse>
-{
-    typedef scalar_product_op<T> BinaryFunc;
-    typedef CwiseBinaryOp<BinaryFunc, Lhs, Rhs> CwiseBinaryXpr;
-    typedef typename CwiseBinaryXpr::Scalar Scalar;
-    typedef typename CwiseBinaryXpr::Index Index;
-    typedef typename traits<CwiseBinaryXpr>::_RhsNested _RhsNested;
-    typedef typename _RhsNested::InnerIterator RhsIterator;
-
-    enum { IsRowMajor = (int(Rhs::Flags)&RowMajorBit)==RowMajorBit };
-  public:
-
-    EIGEN_STRONG_INLINE sparse_cwise_binary_op_inner_iterator_selector(const CwiseBinaryXpr& xpr, Index outer)
-      : m_xpr(xpr), m_rhsIter(xpr.rhs(),outer), m_functor(xpr.functor()), m_outer(outer)
-    {}
-
-    EIGEN_STRONG_INLINE Derived& operator++()
-    {
-      ++m_rhsIter;
-      return *static_cast<Derived*>(this);
-    }
-
-    EIGEN_STRONG_INLINE Scalar value() const
-    { return m_functor(m_xpr.lhs().coeff(IsRowMajor?m_outer:m_rhsIter.index(),IsRowMajor?m_rhsIter.index():m_outer), m_rhsIter.value()); }
-
-    EIGEN_STRONG_INLINE Index index() const { return m_rhsIter.index(); }
-    EIGEN_STRONG_INLINE Index row() const { return m_rhsIter.row(); }
-    EIGEN_STRONG_INLINE Index col() const { return m_rhsIter.col(); }
-
-    EIGEN_STRONG_INLINE operator bool() const { return m_rhsIter; }
-
-  protected:
-    const CwiseBinaryXpr& m_xpr;
-    RhsIterator m_rhsIter;
-    const BinaryFunc& m_functor;
-    const Index m_outer;
-};
-
-} // end namespace internal
-
-#else // EIGEN_TEST_EVALUATORS
-
 namespace internal {
 
   
@@ -590,10 +340,6 @@ protected:
 
 }
 
-#endif
-
-
-
 /***************************************************************************
 * Implementation of SparseMatrixBase and SparseCwise functions/operators
 ***************************************************************************/

Eigen/src/SparseCore/SparseCwiseUnaryOp.h

@@ -11,136 +11,6 @@
 #define EIGEN_SPARSE_CWISE_UNARY_OP_H
 
 namespace Eigen { 
-  
-#ifndef EIGEN_TEST_EVALUATORS
-
-template<typename UnaryOp, typename MatrixType>
-class CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>
-  : public SparseMatrixBase<CwiseUnaryOp<UnaryOp, MatrixType> >
-{
-  public:
-
-    typedef CwiseUnaryOp<UnaryOp, MatrixType> Derived;
-    EIGEN_SPARSE_PUBLIC_INTERFACE(Derived)
-
-    class InnerIterator;
-    class ReverseInnerIterator;
-    
-  protected:
-    typedef typename internal::traits<Derived>::_XprTypeNested _MatrixTypeNested;
-    typedef typename _MatrixTypeNested::InnerIterator MatrixTypeIterator;
-    typedef typename _MatrixTypeNested::ReverseInnerIterator MatrixTypeReverseIterator;
-};
-
-template<typename UnaryOp, typename MatrixType>
-class CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::InnerIterator
-    : public CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::MatrixTypeIterator
-{
-    typedef typename CwiseUnaryOpImpl::Scalar Scalar;
-    typedef typename CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::MatrixTypeIterator Base;
-  public:
-
-    EIGEN_STRONG_INLINE InnerIterator(const CwiseUnaryOpImpl& unaryOp, typename CwiseUnaryOpImpl::Index outer)
-      : Base(unaryOp.derived().nestedExpression(),outer), m_functor(unaryOp.derived().functor())
-    {}
-
-    EIGEN_STRONG_INLINE InnerIterator& operator++()
-    { Base::operator++(); return *this; }
-
-    EIGEN_STRONG_INLINE typename CwiseUnaryOpImpl::Scalar value() const { return m_functor(Base::value()); }
-
-  protected:
-    const UnaryOp m_functor;
-  private:
-    typename CwiseUnaryOpImpl::Scalar& valueRef();
-};
-
-template<typename UnaryOp, typename MatrixType>
-class CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::ReverseInnerIterator
-    : public CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::MatrixTypeReverseIterator
-{
-    typedef typename CwiseUnaryOpImpl::Scalar Scalar;
-    typedef typename CwiseUnaryOpImpl<UnaryOp,MatrixType,Sparse>::MatrixTypeReverseIterator Base;
-  public:
-
-    EIGEN_STRONG_INLINE ReverseInnerIterator(const CwiseUnaryOpImpl& unaryOp, typename CwiseUnaryOpImpl::Index outer)
-      : Base(unaryOp.derived().nestedExpression(),outer), m_functor(unaryOp.derived().functor())
-    {}
-
-    EIGEN_STRONG_INLINE ReverseInnerIterator& operator--()
-    { Base::operator--(); return *this; }
-
-    EIGEN_STRONG_INLINE typename CwiseUnaryOpImpl::Scalar value() const { return m_functor(Base::value()); }
-
-  protected:
-    const UnaryOp m_functor;
-  private:
-    typename CwiseUnaryOpImpl::Scalar& valueRef();
-};
-
-template<typename ViewOp, typename MatrixType>
-class CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>
-  : public SparseMatrixBase<CwiseUnaryView<ViewOp, MatrixType> >
-{
-  public:
-
-    class InnerIterator;
-    class ReverseInnerIterator;
-
-    typedef CwiseUnaryView<ViewOp, MatrixType> Derived;
-    EIGEN_SPARSE_PUBLIC_INTERFACE(Derived)
-
-  protected:
-    typedef typename internal::traits<Derived>::_MatrixTypeNested _MatrixTypeNested;
-    typedef typename _MatrixTypeNested::InnerIterator MatrixTypeIterator;
-    typedef typename _MatrixTypeNested::ReverseInnerIterator MatrixTypeReverseIterator;
-};
-
-template<typename ViewOp, typename MatrixType>
-class CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>::InnerIterator
-    : public CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>::MatrixTypeIterator
-{
-    typedef typename CwiseUnaryViewImpl::Scalar Scalar;
-    typedef typename CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>::MatrixTypeIterator Base;
-  public:
-
-    EIGEN_STRONG_INLINE InnerIterator(const CwiseUnaryViewImpl& unaryOp, typename CwiseUnaryViewImpl::Index outer)
-      : Base(unaryOp.derived().nestedExpression(),outer), m_functor(unaryOp.derived().functor())
-    {}
-
-    EIGEN_STRONG_INLINE InnerIterator& operator++()
-    { Base::operator++(); return *this; }
-
-    EIGEN_STRONG_INLINE typename CwiseUnaryViewImpl::Scalar value() const { return m_functor(Base::value()); }
-    EIGEN_STRONG_INLINE typename CwiseUnaryViewImpl::Scalar& valueRef() { return m_functor(Base::valueRef()); }
-
-  protected:
-    const ViewOp m_functor;
-};
-
-template<typename ViewOp, typename MatrixType>
-class CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>::ReverseInnerIterator
-    : public CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>::MatrixTypeReverseIterator
-{
-    typedef typename CwiseUnaryViewImpl::Scalar Scalar;
-    typedef typename CwiseUnaryViewImpl<ViewOp,MatrixType,Sparse>::MatrixTypeReverseIterator Base;
-  public:
-
-    EIGEN_STRONG_INLINE ReverseInnerIterator(const CwiseUnaryViewImpl& unaryOp, typename CwiseUnaryViewImpl::Index outer)
-      : Base(unaryOp.derived().nestedExpression(),outer), m_functor(unaryOp.derived().functor())
-    {}
-
-    EIGEN_STRONG_INLINE ReverseInnerIterator& operator--()
-    { Base::operator--(); return *this; }
-
-    EIGEN_STRONG_INLINE typename CwiseUnaryViewImpl::Scalar value() const { return m_functor(Base::value()); }
-    EIGEN_STRONG_INLINE typename CwiseUnaryViewImpl::Scalar& valueRef() { return m_functor(Base::valueRef()); }
-
-  protected:
-    const ViewOp m_functor;
-};
-
-#else // EIGEN_TEST_EVALUATORS
 
 namespace internal {
   
@@ -291,8 +161,6 @@ class unary_evaluator<CwiseUnaryView<ViewOp,ArgType>, IteratorBased>::InnerItera
 
 } // end namespace internal
 
-#endif // EIGEN_TEST_EVALUATORS
-
 template<typename Derived>
 EIGEN_STRONG_INLINE Derived&
 SparseMatrixBase<Derived>::operator*=(const Scalar& other)

Eigen/src/SparseCore/SparseDenseProduct.h

@@ -30,18 +30,10 @@ struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, t
   typedef typename internal::remove_all<DenseRhsType>::type Rhs;
   typedef typename internal::remove_all<DenseResType>::type Res;
   typedef typename Lhs::Index Index;
-#ifndef EIGEN_TEST_EVALUATORS
-  typedef typename Lhs::InnerIterator LhsInnerIterator;
-#else
   typedef typename evaluator<Lhs>::InnerIterator LhsInnerIterator;
-#endif
   static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
   {
-#ifndef EIGEN_TEST_EVALUATORS
+    typename evaluator<Lhs>::type lhsEval(lhs);
-  const Lhs &lhsEval(lhs);
-#else
-  typename evaluator<Lhs>::type lhsEval(lhs);
-#endif
     for(Index c=0; c<rhs.cols(); ++c)
     {
       Index n = lhs.outerSize();
@@ -71,18 +63,10 @@ struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, A
   typedef typename internal::remove_all<DenseRhsType>::type Rhs;
   typedef typename internal::remove_all<DenseResType>::type Res;
   typedef typename Lhs::Index Index;
-#ifndef EIGEN_TEST_EVALUATORS
-  typedef typename Lhs::InnerIterator LhsInnerIterator;
-#else
   typedef typename evaluator<Lhs>::InnerIterator LhsInnerIterator;
-#endif
   static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const AlphaType& alpha)
   {
-#ifndef EIGEN_TEST_EVALUATORS
+    typename evaluator<Lhs>::type lhsEval(lhs);
-  const Lhs &lhsEval(lhs);
-#else
-  typename evaluator<Lhs>::type lhsEval(lhs);
-#endif
     for(Index c=0; c<rhs.cols(); ++c)
     {
       for(Index j=0; j<lhs.outerSize(); ++j)
@@ -103,18 +87,10 @@ struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, t
   typedef typename internal::remove_all<DenseRhsType>::type Rhs;
   typedef typename internal::remove_all<DenseResType>::type Res;
   typedef typename Lhs::Index Index;
-#ifndef EIGEN_TEST_EVALUATORS
-  typedef typename Lhs::InnerIterator LhsInnerIterator;
-#else
   typedef typename evaluator<Lhs>::InnerIterator LhsInnerIterator;
-#endif
   static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
   {
-#ifndef EIGEN_TEST_EVALUATORS
+    typename evaluator<Lhs>::type lhsEval(lhs);
-  const Lhs &lhsEval(lhs);
-#else
-  typename evaluator<Lhs>::type lhsEval(lhs);
-#endif
     for(Index j=0; j<lhs.outerSize(); ++j)
     {
       typename Res::RowXpr res_j(res.row(j));
@@ -131,18 +107,10 @@ struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, t
   typedef typename internal::remove_all<DenseRhsType>::type Rhs;
   typedef typename internal::remove_all<DenseResType>::type Res;
   typedef typename Lhs::Index Index;
-#ifndef EIGEN_TEST_EVALUATORS
-  typedef typename Lhs::InnerIterator LhsInnerIterator;
-#else
   typedef typename evaluator<Lhs>::InnerIterator LhsInnerIterator;
-#endif
   static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
   {
-#ifndef EIGEN_TEST_EVALUATORS
+    typename evaluator<Lhs>::type lhsEval(lhs);
-  const Lhs &lhsEval(lhs);
-#else
-  typename evaluator<Lhs>::type lhsEval(lhs);
-#endif
     for(Index j=0; j<lhs.outerSize(); ++j)
     {
       typename Rhs::ConstRowXpr rhs_j(rhs.row(j));
@@ -160,212 +128,6 @@ inline void sparse_time_dense_product(const SparseLhsType& lhs, const DenseRhsTy
 
 } // end namespace internal
 
-#ifndef EIGEN_TEST_EVALUATORS
-template<typename Lhs, typename Rhs, int InnerSize> struct SparseDenseProductReturnType
-{
-  typedef SparseTimeDenseProduct<Lhs,Rhs> Type;
-};
-
-template<typename Lhs, typename Rhs> struct SparseDenseProductReturnType<Lhs,Rhs,1>
-{
-  typedef typename internal::conditional<
-    Lhs::IsRowMajor,
-    SparseDenseOuterProduct<Rhs,Lhs,true>,
-    SparseDenseOuterProduct<Lhs,Rhs,false> >::type Type;
-};
-
-template<typename Lhs, typename Rhs, int InnerSize> struct DenseSparseProductReturnType
-{
-  typedef DenseTimeSparseProduct<Lhs,Rhs> Type;
-};
-
-template<typename Lhs, typename Rhs> struct DenseSparseProductReturnType<Lhs,Rhs,1>
-{
-  typedef typename internal::conditional<
-    Rhs::IsRowMajor,
-    SparseDenseOuterProduct<Rhs,Lhs,true>,
-    SparseDenseOuterProduct<Lhs,Rhs,false> >::type Type;
-};
-
-namespace internal {
-
-template<typename Lhs, typename Rhs, bool Tr>
-struct traits<SparseDenseOuterProduct<Lhs,Rhs,Tr> >
-{
-  typedef Sparse StorageKind;
-  typedef typename scalar_product_traits<typename traits<Lhs>::Scalar,
-                                         typename traits<Rhs>::Scalar>::ReturnType Scalar;
-  typedef typename Lhs::Index Index;
-  typedef typename Lhs::Nested LhsNested;
-  typedef typename Rhs::Nested RhsNested;
-  typedef typename remove_all<LhsNested>::type _LhsNested;
-  typedef typename remove_all<RhsNested>::type _RhsNested;
-
-  enum {
-    LhsCoeffReadCost = traits<_LhsNested>::CoeffReadCost,
-    RhsCoeffReadCost = traits<_RhsNested>::CoeffReadCost,
-
-    RowsAtCompileTime    = Tr ? int(traits<Rhs>::RowsAtCompileTime)     : int(traits<Lhs>::RowsAtCompileTime),
-    ColsAtCompileTime    = Tr ? int(traits<Lhs>::ColsAtCompileTime)     : int(traits<Rhs>::ColsAtCompileTime),
-    MaxRowsAtCompileTime = Tr ? int(traits<Rhs>::MaxRowsAtCompileTime)  : int(traits<Lhs>::MaxRowsAtCompileTime),
-    MaxColsAtCompileTime = Tr ? int(traits<Lhs>::MaxColsAtCompileTime)  : int(traits<Rhs>::MaxColsAtCompileTime),
-
-    Flags = Tr ? RowMajorBit : 0,
-
-    CoeffReadCost = LhsCoeffReadCost + RhsCoeffReadCost + NumTraits<Scalar>::MulCost
-  };
-};
-
-} // end namespace internal
-
-template<typename Lhs, typename Rhs, bool Tr>
-class SparseDenseOuterProduct
- : public SparseMatrixBase<SparseDenseOuterProduct<Lhs,Rhs,Tr> >
-{
-  public:
-
-    typedef SparseMatrixBase<SparseDenseOuterProduct> Base;
-    EIGEN_DENSE_PUBLIC_INTERFACE(SparseDenseOuterProduct)
-    typedef internal::traits<SparseDenseOuterProduct> Traits;
-
-  private:
-
-    typedef typename Traits::LhsNested LhsNested;
-    typedef typename Traits::RhsNested RhsNested;
-    typedef typename Traits::_LhsNested _LhsNested;
-    typedef typename Traits::_RhsNested _RhsNested;
-
-  public:
-
-    class InnerIterator;
-
-    EIGEN_STRONG_INLINE SparseDenseOuterProduct(const Lhs& lhs, const Rhs& rhs)
-      : m_lhs(lhs), m_rhs(rhs)
-    {
-      EIGEN_STATIC_ASSERT(!Tr,YOU_MADE_A_PROGRAMMING_MISTAKE);
-    }
-
-    EIGEN_STRONG_INLINE SparseDenseOuterProduct(const Rhs& rhs, const Lhs& lhs)
-      : m_lhs(lhs), m_rhs(rhs)
-    {
-      EIGEN_STATIC_ASSERT(Tr,YOU_MADE_A_PROGRAMMING_MISTAKE);
-    }
-
-    EIGEN_STRONG_INLINE Index rows() const { return Tr ? Index(m_rhs.rows()) : m_lhs.rows(); }
-    EIGEN_STRONG_INLINE Index cols() const { return Tr ? m_lhs.cols() : Index(m_rhs.cols()); }
-
-    EIGEN_STRONG_INLINE const _LhsNested& lhs() const { return m_lhs; }
-    EIGEN_STRONG_INLINE const _RhsNested& rhs() const { return m_rhs; }
-
-  protected:
-    LhsNested m_lhs;
-    RhsNested m_rhs;
-};
-
-template<typename Lhs, typename Rhs, bool Transpose>
-class SparseDenseOuterProduct<Lhs,Rhs,Transpose>::InnerIterator : public _LhsNested::InnerIterator
-{
-    typedef typename _LhsNested::InnerIterator Base;
-    typedef typename SparseDenseOuterProduct::Index Index;
-  public:
-    EIGEN_STRONG_INLINE InnerIterator(const SparseDenseOuterProduct& prod, Index outer)
-      : Base(prod.lhs(), 0), m_outer(outer), m_empty(false), m_factor(get(prod.rhs(), outer, typename internal::traits<Rhs>::StorageKind() ))
-    {}
-
-    inline Index outer() const { return m_outer; }
-    inline Index row() const { return Transpose ? m_outer : Base::index(); }
-    inline Index col() const { return Transpose ? Base::index() : m_outer; }
-
-    inline Scalar value() const { return Base::value() * m_factor; }
-    inline operator bool() const { return Base::operator bool() && !m_empty; }
-
-  protected:
-    Scalar get(const _RhsNested &rhs, Index outer, Dense = Dense()) const
-    {
-      return rhs.coeff(outer);
-    }
-    
-    Scalar get(const _RhsNested &rhs, Index outer, Sparse = Sparse())
-    {
-      typename Traits::_RhsNested::InnerIterator it(rhs, outer);
-      if (it && it.index()==0 && it.value()!=Scalar(0))
-        return it.value();
-      m_empty = true;
-      return Scalar(0);
-    }
-    
-    Index m_outer;
-    bool m_empty;
-    Scalar m_factor;
-};
-
-namespace internal {
-template<typename Lhs, typename Rhs>
-struct traits<SparseTimeDenseProduct<Lhs,Rhs> >
- : traits<ProductBase<SparseTimeDenseProduct<Lhs,Rhs>, Lhs, Rhs> >
-{
-  typedef Dense StorageKind;
-  typedef MatrixXpr XprKind;
-};
-
-} // end namespace internal
-
-template<typename Lhs, typename Rhs>
-class SparseTimeDenseProduct
-  : public ProductBase<SparseTimeDenseProduct<Lhs,Rhs>, Lhs, Rhs>
-{
-  public:
-    EIGEN_PRODUCT_PUBLIC_INTERFACE(SparseTimeDenseProduct)
-
-    SparseTimeDenseProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
-    {}
-
-    template<typename Dest> void scaleAndAddTo(Dest& dest, const Scalar& alpha) const
-    {
-      internal::sparse_time_dense_product(m_lhs, m_rhs, dest, alpha);
-    }
-
-  private:
-    SparseTimeDenseProduct& operator=(const SparseTimeDenseProduct&);
-};
-
-
-// dense = dense * sparse
-namespace internal {
-template<typename Lhs, typename Rhs>
-struct traits<DenseTimeSparseProduct<Lhs,Rhs> >
- : traits<ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs> >
-{
-  typedef Dense StorageKind;
-};
-} // end namespace internal
-
-template<typename Lhs, typename Rhs>
-class DenseTimeSparseProduct
-  : public ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs>
-{
-  public:
-    EIGEN_PRODUCT_PUBLIC_INTERFACE(DenseTimeSparseProduct)
-
-    DenseTimeSparseProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
-    {}
-
-    template<typename Dest> void scaleAndAddTo(Dest& dest, const Scalar& alpha) const
-    {
-      Transpose<const _LhsNested> lhs_t(m_lhs);
-      Transpose<const _RhsNested> rhs_t(m_rhs);
-      Transpose<Dest> dest_t(dest);
-      internal::sparse_time_dense_product(rhs_t, lhs_t, dest_t, alpha);
-    }
-
-  private:
-    DenseTimeSparseProduct& operator=(const DenseTimeSparseProduct&);
-};
-
-#endif // EIGEN_TEST_EVALUATORS
-
-#ifdef EIGEN_TEST_EVALUATORS
-
 namespace internal {
 
 template<typename Lhs, typename Rhs, int ProductType>
@@ -514,8 +276,6 @@ struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, OuterProduct, DenseS
 
 } // end namespace internal
 
-#endif // EIGEN_TEST_EVALUATORS
-
 } // end namespace Eigen
 
 #endif // EIGEN_SPARSEDENSEPRODUCT_H