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Narayan Kamathc981c482012-11-02 10:59:05 +00001/*
2 Copyright (c) 2011, Intel Corporation. All rights reserved.
3
4 Redistribution and use in source and binary forms, with or without modification,
5 are permitted provided that the following conditions are met:
6
7 * Redistributions of source code must retain the above copyright notice, this
8 list of conditions and the following disclaimer.
9 * Redistributions in binary form must reproduce the above copyright notice,
10 this list of conditions and the following disclaimer in the documentation
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13 be used to endorse or promote products derived from this software without
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15
16 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
17 ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
18 WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
19 DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
20 ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
21 (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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26
27 ********************************************************************************
28 * Content : Eigen bindings to Intel(R) MKL
29 * MKL VML support for coefficient-wise unary Eigen expressions like a=b.sin()
30 ********************************************************************************
31*/
32
33#ifndef EIGEN_ASSIGN_VML_H
34#define EIGEN_ASSIGN_VML_H
35
36namespace Eigen {
37
38namespace internal {
39
40template<typename Op> struct vml_call
41{ enum { IsSupported = 0 }; };
42
43template<typename Dst, typename Src, typename UnaryOp>
44class vml_assign_traits
45{
46 private:
47 enum {
48 DstHasDirectAccess = Dst::Flags & DirectAccessBit,
49 SrcHasDirectAccess = Src::Flags & DirectAccessBit,
50
51 StorageOrdersAgree = (int(Dst::IsRowMajor) == int(Src::IsRowMajor)),
52 InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
53 : int(Dst::Flags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
54 : int(Dst::RowsAtCompileTime),
55 InnerMaxSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime)
56 : int(Dst::Flags)&RowMajorBit ? int(Dst::MaxColsAtCompileTime)
57 : int(Dst::MaxRowsAtCompileTime),
58 MaxSizeAtCompileTime = Dst::SizeAtCompileTime,
59
60 MightEnableVml = vml_call<UnaryOp>::IsSupported && StorageOrdersAgree && DstHasDirectAccess && SrcHasDirectAccess
61 && Src::InnerStrideAtCompileTime==1 && Dst::InnerStrideAtCompileTime==1,
62 MightLinearize = MightEnableVml && (int(Dst::Flags) & int(Src::Flags) & LinearAccessBit),
63 VmlSize = MightLinearize ? MaxSizeAtCompileTime : InnerMaxSize,
64 LargeEnough = VmlSize==Dynamic || VmlSize>=EIGEN_MKL_VML_THRESHOLD,
65 MayEnableVml = MightEnableVml && LargeEnough,
66 MayLinearize = MayEnableVml && MightLinearize
67 };
68 public:
69 enum {
70 Traversal = MayLinearize ? LinearVectorizedTraversal
71 : MayEnableVml ? InnerVectorizedTraversal
72 : DefaultTraversal
73 };
74};
75
76template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling,
77 int VmlTraversal = vml_assign_traits<Derived1, Derived2, UnaryOp>::Traversal >
78struct vml_assign_impl
79 : assign_impl<Derived1, Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>
80{
81};
82
83template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling>
84struct vml_assign_impl<Derived1, Derived2, UnaryOp, Traversal, Unrolling, InnerVectorizedTraversal>
85{
86 typedef typename Derived1::Scalar Scalar;
87 typedef typename Derived1::Index Index;
88 static inline void run(Derived1& dst, const CwiseUnaryOp<UnaryOp, Derived2>& src)
89 {
90 // in case we want to (or have to) skip VML at runtime we can call:
91 // assign_impl<Derived1,Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>::run(dst,src);
92 const Index innerSize = dst.innerSize();
93 const Index outerSize = dst.outerSize();
94 for(Index outer = 0; outer < outerSize; ++outer) {
95 const Scalar *src_ptr = src.IsRowMajor ? &(src.nestedExpression().coeffRef(outer,0)) :
96 &(src.nestedExpression().coeffRef(0, outer));
97 Scalar *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer));
98 vml_call<UnaryOp>::run(src.functor(), innerSize, src_ptr, dst_ptr );
99 }
100 }
101};
102
103template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling>
104struct vml_assign_impl<Derived1, Derived2, UnaryOp, Traversal, Unrolling, LinearVectorizedTraversal>
105{
106 static inline void run(Derived1& dst, const CwiseUnaryOp<UnaryOp, Derived2>& src)
107 {
108 // in case we want to (or have to) skip VML at runtime we can call:
109 // assign_impl<Derived1,Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>::run(dst,src);
110 vml_call<UnaryOp>::run(src.functor(), dst.size(), src.nestedExpression().data(), dst.data() );
111 }
112};
113
114// Macroses
115
116#define EIGEN_MKL_VML_SPECIALIZE_ASSIGN(TRAVERSAL,UNROLLING) \
117 template<typename Derived1, typename Derived2, typename UnaryOp> \
118 struct assign_impl<Derived1, Eigen::CwiseUnaryOp<UnaryOp, Derived2>, TRAVERSAL, UNROLLING, Specialized> { \
119 static inline void run(Derived1 &dst, const Eigen::CwiseUnaryOp<UnaryOp, Derived2> &src) { \
120 vml_assign_impl<Derived1,Derived2,UnaryOp,TRAVERSAL,UNROLLING>::run(dst, src); \
121 } \
122 };
123
124EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,NoUnrolling)
125EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,CompleteUnrolling)
126EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,InnerUnrolling)
127EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearTraversal,NoUnrolling)
128EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearTraversal,CompleteUnrolling)
129EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,NoUnrolling)
130EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,CompleteUnrolling)
131EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,InnerUnrolling)
132EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearVectorizedTraversal,CompleteUnrolling)
133EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearVectorizedTraversal,NoUnrolling)
134EIGEN_MKL_VML_SPECIALIZE_ASSIGN(SliceVectorizedTraversal,NoUnrolling)
135
136
137#if !defined (EIGEN_FAST_MATH) || (EIGEN_FAST_MATH != 1)
138#define EIGEN_MKL_VML_MODE VML_HA
139#else
140#define EIGEN_MKL_VML_MODE VML_LA
141#endif
142
143#define EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
144 template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
145 enum { IsSupported = 1 }; \
146 static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/, \
147 int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
148 VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst); \
149 } \
150 };
151
152#define EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
153 template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
154 enum { IsSupported = 1 }; \
155 static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/, \
156 int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
157 MKL_INT64 vmlMode = EIGEN_MKL_VML_MODE; \
158 VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst, vmlMode); \
159 } \
160 };
161
162#define EIGEN_MKL_VML_DECLARE_POW_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
163 template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
164 enum { IsSupported = 1 }; \
165 static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& func, \
166 int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
167 EIGENTYPE exponent = func.m_exponent; \
168 MKL_INT64 vmlMode = EIGEN_MKL_VML_MODE; \
169 VMLOP(&size, (const VMLTYPE*)src, (const VMLTYPE*)&exponent, \
170 (VMLTYPE*)dst, &vmlMode); \
171 } \
172 };
173
174#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP) \
175 EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vs##VMLOP, float, float) \
176 EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vd##VMLOP, double, double)
177
178#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX(EIGENOP, VMLOP) \
179 EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vc##VMLOP, scomplex, MKL_Complex8) \
180 EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vz##VMLOP, dcomplex, MKL_Complex16)
181
182#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS(EIGENOP, VMLOP) \
183 EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP) \
184 EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX(EIGENOP, VMLOP)
185
186
187#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL_LA(EIGENOP, VMLOP) \
188 EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vms##VMLOP, float, float) \
189 EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmd##VMLOP, double, double)
190
191#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX_LA(EIGENOP, VMLOP) \
192 EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmc##VMLOP, scomplex, MKL_Complex8) \
193 EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmz##VMLOP, dcomplex, MKL_Complex16)
194
195#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(EIGENOP, VMLOP) \
196 EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL_LA(EIGENOP, VMLOP) \
197 EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX_LA(EIGENOP, VMLOP)
198
199
200EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(sin, Sin)
201EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(asin, Asin)
202EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(cos, Cos)
203EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(acos, Acos)
204EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(tan, Tan)
205//EIGEN_MKL_VML_DECLARE_UNARY_CALLS(abs, Abs)
206EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(exp, Exp)
207EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(log, Ln)
208EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(sqrt, Sqrt)
209
210EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(square, Sqr)
211
212// The vm*powx functions are not avaibale in the windows version of MKL.
Carlos Hernandez7faaa9f2014-08-05 17:53:32 -0700213#ifndef _WIN32
Narayan Kamathc981c482012-11-02 10:59:05 +0000214EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmspowx_, float, float)
215EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmdpowx_, double, double)
216EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmcpowx_, scomplex, MKL_Complex8)
217EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmzpowx_, dcomplex, MKL_Complex16)
218#endif
219
220} // end namespace internal
221
222} // end namespace Eigen
223
224#endif // EIGEN_ASSIGN_VML_H