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ce965ee6bbe4ded9201dfd505cd61caec75f2bee
Grid/Grid/tensors/Tensor_traits.h
Peter Boyle 96ac56cace Double precision variants for summation accuracy
2019-08-14 13:08:01 +01:00

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/tensors/Tensor_traits.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Christopher Kelly <ckelly@phys.columbia.edu>
Author: Michael Marshall <michael.marshall@ed.ac.au>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <type_traits>
NAMESPACE_BEGIN(Grid);
// Forward declarations
template<class T> class iScalar;
template<class T, int N> class iVector;
template<class T, int N> class iMatrix;
// These are the Grid tensors
template<typename T> struct isGridTensor : public std::false_type { static constexpr bool notvalue = true; };
template<class T> struct isGridTensor<iScalar<T>> : public std::true_type { static constexpr bool notvalue = false; };
template<class T, int N> struct isGridTensor<iVector<T, N>> : public std::true_type { static constexpr bool notvalue = false; };
template<class T, int N> struct isGridTensor<iMatrix<T, N>> : public std::true_type { static constexpr bool notvalue = false; };
//////////////////////////////////////////////////////////////////////////////////
// Want to recurse: GridTypeMapper<Matrix<vComplexD> >::scalar_type == ComplexD.
// Use of a helper class like this allows us to template specialise and "dress"
// other classes such as RealD == double, ComplexD == std::complex<double> with these
// traits.
//
// It is possible that we could do this more elegantly if I introduced a
// queryable trait in iScalar, iMatrix and iVector and used the query on vtype in
// place of the type mapper?
//
// Not sure how to do this, but probably could be done with a research effort
// to study C++11's type_traits.h file. (std::enable_if<isGridTensorType<vtype> >)
//
//////////////////////////////////////////////////////////////////////////////////
// This saves repeating common properties for supported Grid Scalar types
// TensorLevel How many nested grid tensors
// Rank Rank of the grid tensor
// count Total number of elements, i.e. product of dimensions
// Dimension(dim) Size of dimension dim
struct GridTypeMapper_Base {
static constexpr int TensorLevel = 0;
static constexpr int Rank = 0;
static constexpr std::size_t count = 1;
static constexpr int Dimension(int dim) { return 0; }
};
//////////////////////////////////////////////////////////////////////////////////
// Recursion stops with these template specialisations
//////////////////////////////////////////////////////////////////////////////////
template<typename T> struct GridTypeMapper {};
template<> struct GridTypeMapper<RealF> : public GridTypeMapper_Base {
typedef RealF scalar_type;
typedef RealD scalar_typeD;
typedef RealF vector_type;
typedef RealD vector_typeD;
typedef RealF tensor_reduced ;
typedef RealF scalar_object;
typedef RealD scalar_objectD;
typedef ComplexF Complexified;
typedef RealF Realified;
typedef RealD DoublePrecision;
};
template<> struct GridTypeMapper<RealD> : public GridTypeMapper_Base {
typedef RealD scalar_type;
typedef RealD scalar_typeD;
typedef RealD vector_type;
typedef RealD vector_typeD;
typedef RealD tensor_reduced;
typedef RealD scalar_object;
typedef RealD scalar_objectD;
typedef ComplexD Complexified;
typedef RealD Realified;
typedef RealD DoublePrecision;
};
template<> struct GridTypeMapper<ComplexF> : public GridTypeMapper_Base {
typedef ComplexF scalar_type;
typedef ComplexD scalar_typeD;
typedef ComplexF vector_type;
typedef ComplexD vector_typeD;
typedef ComplexF tensor_reduced;
typedef ComplexF scalar_object;
typedef ComplexD scalar_objectD;
typedef ComplexF Complexified;
typedef RealF Realified;
typedef ComplexD DoublePrecision;
};
template<> struct GridTypeMapper<ComplexD> : public GridTypeMapper_Base {
typedef ComplexD scalar_type;
typedef ComplexD scalar_typeD;
typedef ComplexD vector_type;
typedef ComplexD vector_typeD;
typedef ComplexD tensor_reduced;
typedef ComplexD scalar_object;
typedef ComplexD scalar_objectD;
typedef ComplexD Complexified;
typedef RealD Realified;
typedef ComplexD DoublePrecision;
};
template<> struct GridTypeMapper<Integer> : public GridTypeMapper_Base {
typedef Integer scalar_type;
typedef Integer scalar_typeD;
typedef Integer vector_type;
typedef Integer vector_typeD;
typedef Integer tensor_reduced;
typedef Integer scalar_object;
typedef Integer scalar_objectD;
typedef void Complexified;
typedef void Realified;
typedef void DoublePrecision;
};
template<> struct GridTypeMapper<vRealF> : public GridTypeMapper_Base {
typedef RealF scalar_type;
typedef RealD scalar_typeD;
typedef vRealF vector_type;
typedef vRealD vector_typeD;
typedef vRealF tensor_reduced;
typedef RealF scalar_object;
typedef RealD scalar_objectD;
typedef vComplexF Complexified;
typedef vRealF Realified;
typedef vRealD DoublePrecision;
};
template<> struct GridTypeMapper<vRealD> : public GridTypeMapper_Base {
typedef RealD scalar_type;
typedef RealD scalar_typeD;
typedef vRealD vector_type;
typedef vRealD vector_typeD;
typedef vRealD tensor_reduced;
typedef RealD scalar_object;
typedef RealD scalar_objectD;
typedef vComplexD Complexified;
typedef vRealD Realified;
typedef vRealD DoublePrecision;
};
template<> struct GridTypeMapper<vRealH> : public GridTypeMapper_Base {
// Fixme this is incomplete until Grid supports fp16 or bfp16 arithmetic types
typedef RealF scalar_type;
typedef RealD scalar_typeD;
typedef vRealH vector_type;
typedef vRealD vector_typeD;
typedef vRealH tensor_reduced;
typedef RealF scalar_object;
typedef RealD scalar_objectD;
typedef vComplexH Complexified;
typedef vRealH Realified;
typedef vRealD DoublePrecision;
};
template<> struct GridTypeMapper<vComplexH> : public GridTypeMapper_Base {
// Fixme this is incomplete until Grid supports fp16 or bfp16 arithmetic types
typedef ComplexF scalar_type;
typedef ComplexD scalar_typeD;
typedef vComplexH vector_type;
typedef vComplexD vector_typeD;
typedef vComplexH tensor_reduced;
typedef ComplexF scalar_object;
typedef ComplexD scalar_objectD;
typedef vComplexH Complexified;
typedef vRealH Realified;
typedef vComplexD DoublePrecision;
};
template<> struct GridTypeMapper<vComplexF> : public GridTypeMapper_Base {
typedef ComplexF scalar_type;
typedef ComplexD scalar_typeD;
typedef vComplexF vector_type;
typedef vComplexD vector_typeD;
typedef vComplexF tensor_reduced;
typedef ComplexF scalar_object;
typedef ComplexD scalar_objectD;
typedef vComplexF Complexified;
typedef vRealF Realified;
typedef vComplexD DoublePrecision;
};
template<> struct GridTypeMapper<vComplexD> : public GridTypeMapper_Base {
typedef ComplexD scalar_type;
typedef ComplexD scalar_typeD;
typedef vComplexD vector_type;
typedef vComplexD vector_typeD;
typedef vComplexD tensor_reduced;
typedef ComplexD scalar_object;
typedef ComplexD scalar_objectD;
typedef vComplexD Complexified;
typedef vRealD Realified;
typedef vComplexD DoublePrecision;
};
template<> struct GridTypeMapper<vInteger> : public GridTypeMapper_Base {
typedef Integer scalar_type;
typedef Integer scalar_typeD;
typedef vInteger vector_type;
typedef vInteger vector_typeD;
typedef vInteger tensor_reduced;
typedef Integer scalar_object;
typedef Integer scalar_objectD;
typedef void Complexified;
typedef void Realified;
typedef void DoublePrecision;
};
#define GridTypeMapper_RepeatedTypes \
using BaseTraits = GridTypeMapper<T>; \
using scalar_type = typename BaseTraits::scalar_type; \
using vector_type = typename BaseTraits::vector_type; \
using scalar_typeD = typename BaseTraits::scalar_typeD; \
using vector_typeD = typename BaseTraits::vector_typeD; \
static constexpr int TensorLevel = BaseTraits::TensorLevel + 1
template<typename T> struct GridTypeMapper<iScalar<T>> {
GridTypeMapper_RepeatedTypes;
using tensor_reduced = iScalar<typename BaseTraits::tensor_reduced>;
using scalar_object = iScalar<typename BaseTraits::scalar_object>;
using scalar_objectD = iScalar<typename BaseTraits::scalar_objectD>;
using Complexified = iScalar<typename BaseTraits::Complexified>;
using Realified = iScalar<typename BaseTraits::Realified>;
using DoublePrecision = iScalar<typename BaseTraits::DoublePrecision>;
static constexpr int Rank = BaseTraits::Rank + 1;
static constexpr std::size_t count = BaseTraits::count;
static constexpr int Dimension(int dim) {
return ( dim == 0 ) ? 1 : BaseTraits::Dimension(dim - 1); }
};
template<typename T, int N> struct GridTypeMapper<iVector<T, N>> {
GridTypeMapper_RepeatedTypes;
using tensor_reduced = iScalar<typename BaseTraits::tensor_reduced>;
using scalar_object = iVector<typename BaseTraits::scalar_object, N>;
using scalar_objectD = iVector<typename BaseTraits::scalar_objectD, N>;
using Complexified = iVector<typename BaseTraits::Complexified, N>;
using Realified = iVector<typename BaseTraits::Realified, N>;
using DoublePrecision = iVector<typename BaseTraits::DoublePrecision, N>;
static constexpr int Rank = BaseTraits::Rank + 1;
static constexpr std::size_t count = BaseTraits::count * N;
static constexpr int Dimension(int dim) {
return ( dim == 0 ) ? N : BaseTraits::Dimension(dim - 1); }
};
template<typename T, int N> struct GridTypeMapper<iMatrix<T, N>> {
GridTypeMapper_RepeatedTypes;
using tensor_reduced = iScalar<typename BaseTraits::tensor_reduced>;
using scalar_object = iMatrix<typename BaseTraits::scalar_object, N>;
using scalar_objectD = iMatrix<typename BaseTraits::scalar_objectD, N>;
using Complexified = iMatrix<typename BaseTraits::Complexified, N>;
using Realified = iMatrix<typename BaseTraits::Realified, N>;
using DoublePrecision = iMatrix<typename BaseTraits::DoublePrecision, N>;
static constexpr int Rank = BaseTraits::Rank + 2;
static constexpr std::size_t count = BaseTraits::count * N * N;
static constexpr int Dimension(int dim) {
return ( dim == 0 || dim == 1 ) ? N : BaseTraits::Dimension(dim - 2); }
};
// Match the index
template<typename T,int Level> struct matchGridTensorIndex {
static const bool value = (Level==T::TensorLevel);
static const bool notvalue = (Level!=T::TensorLevel);
};
// What is the vtype
template<typename T> struct isComplex {
static const bool value = false;
};
template<> struct isComplex<ComplexF> {
static const bool value = true;
};
template<> struct isComplex<ComplexD> {
static const bool value = true;
};
//Get the SIMD vector type from a Grid tensor or Lattice<Tensor>
template<typename T>
struct getVectorType{
typedef T type;
};
//Query whether a tensor or Lattice<Tensor> is SIMD vector or scalar
template<typename T, typename V=void> struct isSIMDvectorized : public std::false_type {};
template<typename U> struct isSIMDvectorized<U, typename std::enable_if< !std::is_same<
typename GridTypeMapper<typename getVectorType<U>::type>::scalar_type,
typename GridTypeMapper<typename getVectorType<U>::type>::vector_type>::value, void>::type>
: public std::true_type {};
//Get the precision of a Lattice, tensor or scalar type in units of sizeof(float)
template<typename T>
class getPrecision{
public:
//get the vector_obj (i.e. a grid Tensor) if its a Lattice<vobj>, do nothing otherwise (i.e. if fundamental or grid Tensor)
typedef typename getVectorType<T>::type vector_obj;
typedef typename GridTypeMapper<vector_obj>::scalar_type scalar_type; //get the associated scalar type. Works on fundamental and tensor types
typedef typename GridTypeMapper<scalar_type>::Realified real_scalar_type; //remove any std::complex wrapper, should get us to the fundamental type
enum { value = sizeof(real_scalar_type)/sizeof(float) };
};
NAMESPACE_END(Grid);
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