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bug #923: update support for Intel's VML wrt new evaluation mechanisms
This commit is contained in:
Gael Guennebaud
parent
793e4c6d77
commit
5f9630d7f9
247
Eigen/src/Core/Assign_MKL.h
Normal file → Executable file
247
Eigen/src/Core/Assign_MKL.h
Normal file → Executable file
@ -1,6 +1,7 @@
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/*
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Copyright (c) 2011, Intel Corporation. All rights reserved.
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Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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@ -37,17 +38,13 @@ namespace Eigen {
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namespace internal {
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template<typename Op> struct vml_call
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{ enum { IsSupported = 0 }; };
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template<typename Dst, typename Src, typename UnaryOp>
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template<typename Dst, typename Src>
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class vml_assign_traits
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{
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private:
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enum {
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DstHasDirectAccess = Dst::Flags & DirectAccessBit,
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SrcHasDirectAccess = Src::Flags & DirectAccessBit,
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StorageOrdersAgree = (int(Dst::IsRowMajor) == int(Src::IsRowMajor)),
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InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
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: int(Dst::Flags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
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@ -57,172 +54,120 @@ class vml_assign_traits
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: int(Dst::MaxRowsAtCompileTime),
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MaxSizeAtCompileTime = Dst::SizeAtCompileTime,
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MightEnableVml = vml_call<UnaryOp>::IsSupported && StorageOrdersAgree && DstHasDirectAccess && SrcHasDirectAccess
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&& Src::InnerStrideAtCompileTime==1 && Dst::InnerStrideAtCompileTime==1,
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MightEnableVml = StorageOrdersAgree && DstHasDirectAccess && SrcHasDirectAccess && Src::InnerStrideAtCompileTime==1 && Dst::InnerStrideAtCompileTime==1,
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MightLinearize = MightEnableVml && (int(Dst::Flags) & int(Src::Flags) & LinearAccessBit),
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VmlSize = MightLinearize ? MaxSizeAtCompileTime : InnerMaxSize,
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LargeEnough = VmlSize==Dynamic || VmlSize>=EIGEN_MKL_VML_THRESHOLD,
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MayEnableVml = MightEnableVml && LargeEnough,
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MayLinearize = MayEnableVml && MightLinearize
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LargeEnough = VmlSize==Dynamic || VmlSize>=EIGEN_MKL_VML_THRESHOLD
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};
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public:
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enum {
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Traversal = MayLinearize ? LinearVectorizedTraversal
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: MayEnableVml ? InnerVectorizedTraversal
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: DefaultTraversal
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EnableVml = MightEnableVml && LargeEnough,
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Traversal = MightLinearize ? LinearTraversal : DefaultTraversal
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};
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};
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template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling,
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int VmlTraversal = vml_assign_traits<Derived1, Derived2, UnaryOp>::Traversal >
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struct vml_assign_impl
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: assign_impl<Derived1, Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>
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{
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};
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template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling>
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struct vml_assign_impl<Derived1, Derived2, UnaryOp, Traversal, Unrolling, InnerVectorizedTraversal>
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{
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typedef typename Derived1::Scalar Scalar;
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static inline void run(Derived1& dst, const CwiseUnaryOp<UnaryOp, Derived2>& src)
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{
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// in case we want to (or have to) skip VML at runtime we can call:
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// assign_impl<Derived1,Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>::run(dst,src);
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const Index innerSize = dst.innerSize();
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const Index outerSize = dst.outerSize();
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for(Index outer = 0; outer < outerSize; ++outer) {
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const Scalar *src_ptr = src.IsRowMajor ? &(src.nestedExpression().coeffRef(outer,0)) :
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&(src.nestedExpression().coeffRef(0, outer));
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Scalar *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer));
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vml_call<UnaryOp>::run(src.functor(), innerSize, src_ptr, dst_ptr );
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}
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}
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};
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template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling>
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struct vml_assign_impl<Derived1, Derived2, UnaryOp, Traversal, Unrolling, LinearVectorizedTraversal>
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{
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static inline void run(Derived1& dst, const CwiseUnaryOp<UnaryOp, Derived2>& src)
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{
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// in case we want to (or have to) skip VML at runtime we can call:
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// assign_impl<Derived1,Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>::run(dst,src);
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vml_call<UnaryOp>::run(src.functor(), dst.size(), src.nestedExpression().data(), dst.data() );
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}
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};
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// Macroses
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#define EIGEN_MKL_VML_SPECIALIZE_ASSIGN(TRAVERSAL,UNROLLING) \
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template<typename Derived1, typename Derived2, typename UnaryOp> \
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struct assign_impl<Derived1, Eigen::CwiseUnaryOp<UnaryOp, Derived2>, TRAVERSAL, UNROLLING, Specialized> { \
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static inline void run(Derived1 &dst, const Eigen::CwiseUnaryOp<UnaryOp, Derived2> &src) { \
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vml_assign_impl<Derived1,Derived2,UnaryOp,TRAVERSAL,UNROLLING>::run(dst, src); \
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} \
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};
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,NoUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,CompleteUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,InnerUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearTraversal,NoUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearTraversal,CompleteUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,NoUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,CompleteUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,InnerUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearVectorizedTraversal,CompleteUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearVectorizedTraversal,NoUnrolling)
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EIGEN_MKL_VML_SPECIALIZE_ASSIGN(SliceVectorizedTraversal,NoUnrolling)
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#define EIGEN_PP_EXPAND(ARG) ARG
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#if !defined (EIGEN_FAST_MATH) || (EIGEN_FAST_MATH != 1)
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#define EIGEN_MKL_VML_MODE VML_HA
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#define EIGEN_VMLMODE_EXPAND_LA , VML_HA
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#else
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#define EIGEN_MKL_VML_MODE VML_LA
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#define EIGEN_VMLMODE_EXPAND_LA , VML_LA
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#endif
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
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template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
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enum { IsSupported = 1 }; \
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static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/, \
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int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
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VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst); \
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} \
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};
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#define EIGEN_VMLMODE_EXPAND__
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
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template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
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enum { IsSupported = 1 }; \
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static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/, \
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int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
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MKL_INT64 vmlMode = EIGEN_MKL_VML_MODE; \
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VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst, vmlMode); \
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} \
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};
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#define EIGEN_VMLMODE_PREFIX_LA vm
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#define EIGEN_VMLMODE_PREFIX__ v
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#define EIGEN_VMLMODE_PREFIX(VMLMODE) EIGEN_CAT(EIGEN_VMLMODE_PREFIX_,VMLMODE)
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#define EIGEN_MKL_VML_DECLARE_POW_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
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template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
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enum { IsSupported = 1 }; \
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static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& func, \
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int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
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EIGENTYPE exponent = func.m_exponent; \
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MKL_INT64 vmlMode = EIGEN_MKL_VML_MODE; \
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VMLOP(&size, (const VMLTYPE*)src, (const VMLTYPE*)&exponent, \
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(VMLTYPE*)dst, &vmlMode); \
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} \
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};
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vs##VMLOP, float, float) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vd##VMLOP, double, double)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX(EIGENOP, VMLOP) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vc##VMLOP, scomplex, MKL_Complex8) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vz##VMLOP, dcomplex, MKL_Complex16)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS(EIGENOP, VMLOP) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX(EIGENOP, VMLOP)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE, VMLMODE) \
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template< typename DstXprType, typename SrcXprNested> \
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struct Assignment<DstXprType, CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested>, assign_op<EIGENTYPE>, \
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Dense2Dense, typename enable_if<vml_assign_traits<DstXprType,SrcXprNested>::EnableVml,EIGENTYPE>::type> { \
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typedef CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested> SrcXprType; \
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static void run(DstXprType &dst, const SrcXprType &src, const assign_op<EIGENTYPE> &/*func*/) { \
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eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols()); \
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if(vml_assign_traits<DstXprType,SrcXprNested>::Traversal==LinearTraversal) { \
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VMLOP(dst.size(), (const VMLTYPE*)src.nestedExpression().data(), \
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(VMLTYPE*)dst.data() EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE) ); \
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} else { \
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const Index outerSize = dst.outerSize(); \
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for(Index outer = 0; outer < outerSize; ++outer) { \
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const EIGENTYPE *src_ptr = src.IsRowMajor ? &(src.nestedExpression().coeffRef(outer,0)) : \
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&(src.nestedExpression().coeffRef(0, outer)); \
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EIGENTYPE *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer)); \
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VMLOP( dst.innerSize(), (const VMLTYPE*)src_ptr, \
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(VMLTYPE*)dst_ptr EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE)); \
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} \
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} \
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} \
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}; \
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL_LA(EIGENOP, VMLOP) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vms##VMLOP, float, float) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmd##VMLOP, double, double)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP, VMLMODE) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),s##VMLOP), float, float, VMLMODE) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),d##VMLOP), double, double, VMLMODE)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX_LA(EIGENOP, VMLOP) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmc##VMLOP, scomplex, MKL_Complex8) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmz##VMLOP, dcomplex, MKL_Complex16)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(EIGENOP, VMLOP, VMLMODE) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),c##VMLOP), scomplex, MKL_Complex8, VMLMODE) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),z##VMLOP), dcomplex, MKL_Complex16, VMLMODE)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS(EIGENOP, VMLOP, VMLMODE) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP, VMLMODE) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(EIGENOP, VMLOP, VMLMODE)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(EIGENOP, VMLOP) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL_LA(EIGENOP, VMLOP) \
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX_LA(EIGENOP, VMLOP)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sin, Sin, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(asin, Asin, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sinh, Sinh, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(cos, Cos, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(acos, Acos, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(cosh, Cosh, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(tan, Tan, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(atan, Atan, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(tanh, Tanh, LA)
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// EIGEN_MKL_VML_DECLARE_UNARY_CALLS(abs, Abs, _)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(exp, Exp, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(log, Ln, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(log10, Log10, LA)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sqrt, Sqrt, _)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(square, Sqr, _)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(arg, Arg, _)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(round, Round, _)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(floor, Floor, _)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(ceil, Ceil, _)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(sin, Sin)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(asin, Asin)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(sinh, Sinh)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(cos, Cos)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(acos, Acos)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(cosh, Cosh)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(tan, Tan)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(atan, Atan)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(tanh, Tanh)
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//EIGEN_MKL_VML_DECLARE_UNARY_CALLS(abs, Abs)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(exp, Exp)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(log, Ln)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(log10, Log10)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sqrt, Sqrt)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(square, Sqr)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX(arg, Arg)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(round, Round)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(floor, Floor)
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EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(ceil, Ceil)
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// The vm*powx functions are not avaibale in the windows version of MKL.
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#ifndef _WIN32
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EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmspowx_, float, float)
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EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmdpowx_, double, double)
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EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmcpowx_, scomplex, MKL_Complex8)
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EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmzpowx_, dcomplex, MKL_Complex16)
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#define EIGEN_MKL_VML_DECLARE_POW_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE, VMLMODE) \
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template< typename DstXprType, typename SrcXprNested> \
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struct Assignment<DstXprType, CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested>, assign_op<EIGENTYPE>, \
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Dense2Dense, typename enable_if<vml_assign_traits<DstXprType,SrcXprNested>::EnableVml,EIGENTYPE>::type> { \
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typedef CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested> SrcXprType; \
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static void run(DstXprType &dst, const SrcXprType &src, const assign_op<EIGENTYPE> &/*func*/) { \
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eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols()); \
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VMLTYPE exponent = reinterpret_cast<const VMLTYPE&>(src.functor().m_exponent); \
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if(vml_assign_traits<DstXprType,SrcXprNested>::Traversal==LinearTraversal) \
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{ \
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VMLOP( dst.size(), (const VMLTYPE*)src.nestedExpression().data(), exponent, \
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(VMLTYPE*)dst.data() EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE) ); \
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} else { \
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const Index outerSize = dst.outerSize(); \
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for(Index outer = 0; outer < outerSize; ++outer) { \
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const EIGENTYPE *src_ptr = src.IsRowMajor ? &(src.nestedExpression().coeffRef(outer,0)) : \
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&(src.nestedExpression().coeffRef(0, outer)); \
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EIGENTYPE *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer)); \
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VMLOP( dst.innerSize(), (const VMLTYPE*)src_ptr, exponent, \
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(VMLTYPE*)dst_ptr EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE)); \
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} \
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} \
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} \
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};
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EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmsPowx, float, float, LA)
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EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmdPowx, double, double, LA)
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EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmcPowx, scomplex, MKL_Complex8, LA)
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EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmzPowx, dcomplex, MKL_Complex16, LA)
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#endif
|
||||
|
||||
} // end namespace internal
|
||||
|
||||
Loading…
Reference in New Issue
Block a user