mirror of
https://github.com/paboyle/Grid.git
synced 2024-11-14 01:35:36 +00:00
b0485894b3
Need to audit code carefully, consolidate between stencil and cshift, and then benchmark and optimise.
188 lines
5.6 KiB
C++
188 lines
5.6 KiB
C++
#ifndef GRID_MATH_TRAITS_H
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#define GRID_MATH_TRAITS_H
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#include <type_traits>
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namespace Grid {
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//////////////////////////////////////////////////////////////////////////////////
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// Want to recurse: GridTypeMapper<Matrix<vComplexD> >::scalar_type == ComplexD.
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// Use of a helper class like this allows us to template specialise and "dress"
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// other classes such as RealD == double, ComplexD == std::complex<double> with these
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// traits.
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//
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// It is possible that we could do this more elegantly if I introduced a
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// queryable trait in iScalar, iMatrix and iVector and used the query on vtype in
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// place of the type mapper?
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//
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// Not sure how to do this, but probably could be done with a research effort
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// to study C++11's type_traits.h file. (std::enable_if<isGridTensorType<vtype> >)
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//
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//////////////////////////////////////////////////////////////////////////////////
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template <class T> class GridTypeMapper {
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public:
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typedef typename T::scalar_type scalar_type;
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typedef typename T::vector_type vector_type;
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typedef typename T::tensor_reduced tensor_reduced;
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typedef typename T::scalar_object scalar_object;
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enum { TensorLevel = T::TensorLevel };
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};
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//////////////////////////////////////////////////////////////////////////////////
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// Recursion stops with these template specialisations
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//////////////////////////////////////////////////////////////////////////////////
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template<> class GridTypeMapper<RealF> {
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public:
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typedef RealF scalar_type;
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typedef RealF vector_type;
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typedef RealF tensor_reduced ;
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typedef RealF scalar_object;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<RealD> {
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public:
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typedef RealD scalar_type;
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typedef RealD vector_type;
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typedef RealD tensor_reduced;
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typedef RealD scalar_object;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<ComplexF> {
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public:
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typedef ComplexF scalar_type;
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typedef ComplexF vector_type;
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typedef ComplexF tensor_reduced;
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typedef ComplexF scalar_object;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<ComplexD> {
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public:
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typedef ComplexD scalar_type;
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typedef ComplexD vector_type;
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typedef ComplexD tensor_reduced;
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typedef ComplexD scalar_object;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<Integer> {
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public:
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typedef Integer scalar_type;
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typedef Integer vector_type;
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typedef Integer tensor_reduced;
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typedef Integer scalar_object;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<vRealF> {
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public:
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typedef RealF scalar_type;
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typedef vRealF vector_type;
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typedef vRealF tensor_reduced;
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typedef RealF scalar_object;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<vRealD> {
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public:
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typedef RealD scalar_type;
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typedef vRealD vector_type;
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typedef vRealD tensor_reduced;
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typedef RealD scalar_object;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<vComplexF> {
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public:
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typedef ComplexF scalar_type;
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typedef vComplexF vector_type;
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typedef vComplexF tensor_reduced;
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typedef ComplexF scalar_object;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<vComplexD> {
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public:
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typedef ComplexD scalar_type;
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typedef vComplexD vector_type;
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typedef vComplexD tensor_reduced;
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typedef ComplexD scalar_object;
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enum { TensorLevel = 0 };
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};
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template<> class GridTypeMapper<vInteger> {
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public:
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typedef Integer scalar_type;
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typedef vInteger vector_type;
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typedef vInteger tensor_reduced;
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typedef Integer scalar_object;
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enum { TensorLevel = 0 };
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};
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// First some of my own traits
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template<typename T> struct isGridTensor {
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static const bool value = true;
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static const bool notvalue = false;
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};
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template<> struct isGridTensor<int > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<RealD > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<RealF > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<ComplexD > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<ComplexF > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<Integer > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<vRealD > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<vRealF > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<vComplexD > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<vComplexF > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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template<> struct isGridTensor<vInteger > {
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static const bool value = false;
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static const bool notvalue = true;
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};
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// Match the index
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template<typename T,int Level> struct matchGridTensorIndex {
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static const bool value = (Level==T::TensorLevel);
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static const bool notvalue = (Level!=T::TensorLevel);
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};
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// What is the vtype
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template<typename T> struct isComplex {
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static const bool value = false;
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};
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template<> struct isComplex<ComplexF> {
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static const bool value = true;
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};
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template<> struct isComplex<ComplexD> {
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static const bool value = true;
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};
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}
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#endif
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